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Samawi H, Kersey J, Yin J, Rochani H. Medical diagnostic accuracy measures: an innovative approach based on the area under predictive values curves. J Biopharm Stat 2024:1-16. [PMID: 38615359 DOI: 10.1080/10543406.2024.2341663] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 11/17/2022] [Accepted: 04/05/2024] [Indexed: 04/16/2024]
Abstract
Positive and negative estimates are commonly used by clinicians to evaluate the likelihood of a disease stage being present based on test results. The predicted values are dependent on the prevalence of the underlying illness. However, for certain diseases or clinical conditions, the prevalence is unknown or different from one region to another or from one population to another, leading to an erroneous diagnosis. This article introduces innovative post-test diagnostic precision measures for continuous tests or biomarkers based on the combined areas under the predictive value curves for all possible prevalence values. The proposed measures do not vary as a function of the prevalence of the disease. They can be used to compare different diagnostic tests and/or biomarkers' abilities for rule-in, rule-out, and overall accuracy based on the combined areas under the predictive value curves. The relationship of the proposed measures to other diagnostic accuracy measures is discussed. We illustrate the proposed measures numerically and use a real data example on breast cancer.
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Affiliation(s)
- Hani Samawi
- Department of Biostatistics, Epidemiology, and Environmental Health Sciences, Jiann-Ping Hsu College of Public Health, Georgia Southern University, Statesboro, Georgia, USA
| | - Jing Kersey
- Department of Biostatistics, Epidemiology, and Environmental Health Sciences, Jiann-Ping Hsu College of Public Health, Georgia Southern University, Statesboro, Georgia, USA
| | - Jingjing Yin
- Department of Biostatistics, Epidemiology, and Environmental Health Sciences, Jiann-Ping Hsu College of Public Health, Georgia Southern University, Statesboro, Georgia, USA
| | - Haresh Rochani
- Department of Biostatistics, Epidemiology, and Environmental Health Sciences, Jiann-Ping Hsu College of Public Health, Georgia Southern University, Statesboro, Georgia, USA
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Lv A, BianBaZhuoMa, DeQiong, DaWaZhuoMa, PuBuZhuoMa, Yao D, LangJiQuZhen, Lu Y, Cai L, DaZhen, Tang C, BianBaZhuoMa, Zhang Y, Yin J, Ding T, DaWaCang, Wu M, Chen Y, Li Y. Effect of COVID-19 infection on pregnant women in plateau regions. Public Health 2024; 229:57-62. [PMID: 38401193 DOI: 10.1016/j.puhe.2023.12.029] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 08/21/2023] [Revised: 12/04/2023] [Accepted: 12/28/2023] [Indexed: 02/26/2024]
Abstract
OBJECTIVE The present study aims to explore the effect of COVID-19 infection on pregnant women in plateau regions. STUDY DESIGN Data from 381 pregnant women infected with COVID-19 who underwent prenatal examination or treatment at Women and Children's Hospital of Tibet Autonomous Region between January 2020 and December 2022 and 314 pregnant women not infected with COVID-19 were retrospectively collected. METHODS The study participants were divided into an infected and non-infected group according to whether they were infected with COVID-19. Basic information (ethnicity, age, body mass index and gestational age [GA]), vaccination status, intensive care unit (ICU) admission and delivery outcomes were compared. Binary logistic regression was used to analyse the influencing factors of ICU admission. RESULTS The results revealed significant differences in the GA, vaccination rate, blood pressure, partial pressure of oxygen, white blood cell (WBC) count, ICU admission rate, preeclampsia rate, forearm presentation rate, thrombocytopenia rate, syphilis infection rate and placental abruption rate between the two groups (P < 0.05). A univariate analysis showed that COVID-19 infection, hepatitis B virus infection, the WBC count and hypoproteinaemia were risk factors for ICU admission. The results of the multivariate analysis of the ICU admission of pregnant women showed that COVID-19 infection (odds ratio [OR] = 4.271, 95 % confidence interval [CI]: 3.572-5.820, P < 0.05) was a risk factor for ICU admission and the WBC count (OR = 0.935, 95 % CI: 0.874-0.947, P < 0.05) was a protective factor for ICU admission. CONCLUSION Pregnant women are vulnerable to the adverse consequences of COVID-19 infection, and public health measures such as vaccination are needed to protect this population subgroup.
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Affiliation(s)
- A Lv
- Department of Obstetrics and Gynecology, Beijing Hospital, National Center of Gerontology, Institute of Geriatric Medicine, Chinese Academy of Medical Sciences, NO. 1 DaHua Road, Dong Dan, Beijing, 100730, PR China; Women and Children's Hospital of Tibet Autonomous Region, NO. 10 Chagu Avenue, Doilungdêqên District, Liuwu New Area, Lhasa, Tibet Autonomous Region, 851414, PR China
| | - BianBaZhuoMa
- Lhasa People's Hospital, No. 1, Beijing Middle Road, Chengguan District, Lhasa, Tibet Autonomous Region, 850000, PR China
| | - DeQiong
- Women and Children's Hospital of Tibet Autonomous Region, NO. 10 Chagu Avenue, Doilungdêqên District, Liuwu New Area, Lhasa, Tibet Autonomous Region, 851414, PR China
| | - DaWaZhuoMa
- Women and Children's Hospital of Tibet Autonomous Region, NO. 10 Chagu Avenue, Doilungdêqên District, Liuwu New Area, Lhasa, Tibet Autonomous Region, 851414, PR China
| | - PuBuZhuoMa
- Lhasa People's Hospital, No. 1, Beijing Middle Road, Chengguan District, Lhasa, Tibet Autonomous Region, 850000, PR China
| | - D Yao
- Nyingchi People's Hospital, No. 11, Water Garden, Bayi Town, Bayi District, Nyingchi City, Tibet Autonomous Region, 860000, PR China
| | - LangJiQuZhen
- Women and Children's Hospital of Tibet Autonomous Region, NO. 10 Chagu Avenue, Doilungdêqên District, Liuwu New Area, Lhasa, Tibet Autonomous Region, 851414, PR China
| | - Y Lu
- Women and Children's Hospital of Tibet Autonomous Region, NO. 10 Chagu Avenue, Doilungdêqên District, Liuwu New Area, Lhasa, Tibet Autonomous Region, 851414, PR China
| | - L Cai
- Women and Children's Hospital of Tibet Autonomous Region, NO. 10 Chagu Avenue, Doilungdêqên District, Liuwu New Area, Lhasa, Tibet Autonomous Region, 851414, PR China
| | - DaZhen
- Women and Children's Hospital of Tibet Autonomous Region, NO. 10 Chagu Avenue, Doilungdêqên District, Liuwu New Area, Lhasa, Tibet Autonomous Region, 851414, PR China
| | - C Tang
- Women and Children's Hospital of Tibet Autonomous Region, NO. 10 Chagu Avenue, Doilungdêqên District, Liuwu New Area, Lhasa, Tibet Autonomous Region, 851414, PR China
| | - BianBaZhuoMa
- Women and Children's Hospital of Tibet Autonomous Region, NO. 10 Chagu Avenue, Doilungdêqên District, Liuwu New Area, Lhasa, Tibet Autonomous Region, 851414, PR China
| | - Y Zhang
- Women and Children's Hospital of Tibet Autonomous Region, NO. 10 Chagu Avenue, Doilungdêqên District, Liuwu New Area, Lhasa, Tibet Autonomous Region, 851414, PR China
| | - J Yin
- Women and Children's Hospital of Tibet Autonomous Region, NO. 10 Chagu Avenue, Doilungdêqên District, Liuwu New Area, Lhasa, Tibet Autonomous Region, 851414, PR China
| | - T Ding
- Women and Children's Hospital of Tibet Autonomous Region, NO. 10 Chagu Avenue, Doilungdêqên District, Liuwu New Area, Lhasa, Tibet Autonomous Region, 851414, PR China
| | - DaWaCang
- Tibet University Medical School, No. 10, Zangda East Road, Chengguan District, Lhasa, Tibet Autonomous Region, 850000, PR China
| | - M Wu
- Tibet University Medical School, No. 10, Zangda East Road, Chengguan District, Lhasa, Tibet Autonomous Region, 850000, PR China
| | - Y Chen
- Tibet University Medical School, No. 10, Zangda East Road, Chengguan District, Lhasa, Tibet Autonomous Region, 850000, PR China
| | - Y Li
- Department of Obstetrics and Gynecology, Beijing Hospital, National Center of Gerontology, Institute of Geriatric Medicine, Chinese Academy of Medical Sciences, NO. 1 DaHua Road, Dong Dan, Beijing, 100730, PR China.
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Maher SP, Bakowski MA, Vantaux A, Flannery EL, Andolina C, Gupta M, Antonova-Koch Y, Argomaniz M, Cabrera-Mora M, Campo B, Chao AT, Chatterjee AK, Cheng WT, Chuenchob E, Cooper CA, Cottier K, Galinski MR, Harupa-Chung A, Ji H, Joseph SB, Lenz T, Lonardi S, Matheson J, Mikolajczak SA, Moeller T, Orban A, Padín-Irizarry V, Pan K, Péneau J, Prudhomme J, Roesch C, Ruberto AA, Sabnis SS, Saney CL, Sattabongkot J, Sereshki S, Suriyakan S, Ubalee R, Wang Y, Wasisakun P, Yin J, Popovici J, McNamara CW, Joyner CJ, Nosten F, Witkowski B, Le Roch KG, Kyle DE. A Drug Repurposing Approach Reveals Targetable Epigenetic Pathways in Plasmodium vivax Hypnozoites. bioRxiv 2024:2023.01.31.526483. [PMID: 36778461 PMCID: PMC9915689 DOI: 10.1101/2023.01.31.526483] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Grants] [Track Full Text] [Figures] [Subscribe] [Scholar Register] [Indexed: 02/04/2023]
Abstract
Radical cure of Plasmodium vivax malaria must include elimination of quiescent 'hypnozoite' forms in the liver; however, the only FDA-approved treatments are contraindicated in many vulnerable populations. To identify new drugs and drug targets for hypnozoites, we screened the Repurposing, Focused Rescue, and Accelerated Medchem (ReFRAME) library and a collection of epigenetic inhibitors against P. vivax liver stages. From both libraries, we identified inhibitors targeting epigenetics pathways as selectively active against P. vivax and P. cynomolgi hypnozoites. These include DNA methyltransferase (DNMT) inhibitors as well as several inhibitors targeting histone post-translational modifications. Immunofluorescence staining of Plasmodium liver forms showed strong nuclear 5-methylcystosine signal, indicating liver stage parasite DNA is methylated. Using bisulfite sequencing, we mapped genomic DNA methylation in sporozoites, revealing DNA methylation signals in most coding genes. We also demonstrated that methylation level in proximal promoter regions as well as in the first exon of the genes may affect, at least partially, gene expression in P. vivax. The importance of selective inhibitors targeting epigenetic features on hypnozoites was validated using MMV019721, an acetyl-CoA synthetase inhibitor that affects histone acetylation and was previously reported as active against P. falciparum blood stages. In summary, our data indicate that several epigenetic mechanisms are likely modulating hypnozoite formation or persistence and provide an avenue for the discovery and development of improved radical cure antimalarials.
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Affiliation(s)
- S. P. Maher
- Center for Tropical & Emerging Global Disease, University of Georgia; Athens, GA, 30602, USA
| | - M. A. Bakowski
- Calibr, a division of The Scripps Research Institute; La Jolla, CA, 92037, USA
| | - A. Vantaux
- Malaria Molecular Epidemiology Unit, Institute Pasteur of Cambodia; Phnom Penh, 120 210, Cambodia
| | - E. L. Flannery
- Novartis Institute for Tropical Diseases, Novartis Institutes for Biomedical Research; Emeryville, CA, 94608, USA
| | - C. Andolina
- Shoklo Malaria Research Unit, Mahidol-Oxford Tropical Medicine Research Unit; Mae Sot, Tak, 63110, Thailand
| | - M. Gupta
- Department of Molecular, Cell, and Systems Biology, University of California; Riverside, CA, 92521, USA
| | - Y. Antonova-Koch
- Calibr, a division of The Scripps Research Institute; La Jolla, CA, 92037, USA
| | - M. Argomaniz
- Center for Vaccines and Immunology, College of Veterinary Medicine, University of Georgia; Athens, GA, 30602, USA
| | - M. Cabrera-Mora
- International Center for Malaria Research, Education and Development, Emory Vaccine Center, Emory National Primate Research Center, Emory University; Atlanta, GA, 30329, USA
| | - B. Campo
- Medicines for Malaria Venture (MMV); Geneva, 1215, Switzerland
| | - A. T. Chao
- Novartis Institute for Tropical Diseases, Novartis Institutes for Biomedical Research; Emeryville, CA, 94608, USA
| | - A. K. Chatterjee
- Calibr, a division of The Scripps Research Institute; La Jolla, CA, 92037, USA
| | - W. T. Cheng
- Center for Vaccines and Immunology, College of Veterinary Medicine, University of Georgia; Athens, GA, 30602, USA
| | - E. Chuenchob
- Novartis Institute for Tropical Diseases, Novartis Institutes for Biomedical Research; Emeryville, CA, 94608, USA
| | - C. A. Cooper
- Center for Tropical & Emerging Global Disease, University of Georgia; Athens, GA, 30602, USA
| | | | - M. R. Galinski
- International Center for Malaria Research, Education and Development, Emory Vaccine Center, Emory National Primate Research Center, Emory University; Atlanta, GA, 30329, USA
- Division of Infectious Diseases, Department of Medicine, Emory University; Atlanta, GA, 30329, USA
| | - A. Harupa-Chung
- Novartis Institute for Tropical Diseases, Novartis Institutes for Biomedical Research; Emeryville, CA, 94608, USA
| | - H. Ji
- Center for Vaccines and Immunology, College of Veterinary Medicine, University of Georgia; Athens, GA, 30602, USA
| | - S. B. Joseph
- Calibr, a division of The Scripps Research Institute; La Jolla, CA, 92037, USA
| | - T. Lenz
- Department of Molecular, Cell, and Systems Biology, University of California; Riverside, CA, 92521, USA
| | - S. Lonardi
- Department of Computer Science and Engineering, University of California; Riverside, CA, 92521, USA
| | - J. Matheson
- Department of Microbiology and Immunology, University of Otago; Dunedin, 9016, New Zealand
| | - S. A. Mikolajczak
- Novartis Institute for Tropical Diseases, Novartis Institutes for Biomedical Research; Emeryville, CA, 94608, USA
| | | | - A. Orban
- Malaria Molecular Epidemiology Unit, Institute Pasteur of Cambodia; Phnom Penh, 120 210, Cambodia
| | - V. Padín-Irizarry
- Center for Tropical & Emerging Global Disease, University of Georgia; Athens, GA, 30602, USA
- School of Sciences, Clayton State University; Morrow, GA, 30260, USA
| | - K. Pan
- Calibr, a division of The Scripps Research Institute; La Jolla, CA, 92037, USA
| | - J. Péneau
- Malaria Molecular Epidemiology Unit, Institute Pasteur of Cambodia; Phnom Penh, 120 210, Cambodia
| | - J. Prudhomme
- Department of Molecular, Cell, and Systems Biology, University of California; Riverside, CA, 92521, USA
| | - C. Roesch
- Malaria Molecular Epidemiology Unit, Institute Pasteur of Cambodia; Phnom Penh, 120 210, Cambodia
| | - A. A. Ruberto
- Center for Tropical & Emerging Global Disease, University of Georgia; Athens, GA, 30602, USA
| | - S. S. Sabnis
- Center for Vaccines and Immunology, College of Veterinary Medicine, University of Georgia; Athens, GA, 30602, USA
| | - C. L. Saney
- Center for Vaccines and Immunology, College of Veterinary Medicine, University of Georgia; Athens, GA, 30602, USA
| | - J. Sattabongkot
- Mahidol Vivax Research Unit, Mahidol University; Bangkok, 10400, Thailand
| | - S. Sereshki
- Department of Computer Science and Engineering, University of California; Riverside, CA, 92521, USA
| | - S. Suriyakan
- Shoklo Malaria Research Unit, Mahidol-Oxford Tropical Medicine Research Unit; Mae Sot, Tak, 63110, Thailand
| | - R. Ubalee
- Department of Entomology, Armed Forces Research Institute of Medical Sciences (AFRIMS); Bangkok, 10400, Thailand
| | - Y. Wang
- Department of Chemistry, University of California; Riverside, CA, 92521
- Environmental Toxicology Graduate Program, University of California; Riverside, CA, 92521, USA
| | - P. Wasisakun
- Shoklo Malaria Research Unit, Mahidol-Oxford Tropical Medicine Research Unit; Mae Sot, Tak, 63110, Thailand
| | - J. Yin
- Environmental Toxicology Graduate Program, University of California; Riverside, CA, 92521, USA
| | - J. Popovici
- Malaria Molecular Epidemiology Unit, Institute Pasteur of Cambodia; Phnom Penh, 120 210, Cambodia
| | - C. W. McNamara
- Calibr, a division of The Scripps Research Institute; La Jolla, CA, 92037, USA
| | - C. J. Joyner
- Center for Vaccines and Immunology, College of Veterinary Medicine, University of Georgia; Athens, GA, 30602, USA
- International Center for Malaria Research, Education and Development, Emory Vaccine Center, Emory National Primate Research Center, Emory University; Atlanta, GA, 30329, USA
| | - F. Nosten
- Shoklo Malaria Research Unit, Mahidol-Oxford Tropical Medicine Research Unit; Mae Sot, Tak, 63110, Thailand
- Centre for Tropical Medicine and Global Health, Nuffield Department of Medicine, University of Oxford; Oxford, OX3 7LG, UK
| | - B. Witkowski
- Malaria Molecular Epidemiology Unit, Institute Pasteur of Cambodia; Phnom Penh, 120 210, Cambodia
| | - K. G. Le Roch
- Department of Molecular, Cell, and Systems Biology, University of California; Riverside, CA, 92521, USA
| | - D. E. Kyle
- Center for Tropical & Emerging Global Disease, University of Georgia; Athens, GA, 30602, USA
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Wei Q, Li L, Zeng XQ, Abidan BHTYE, Yin J, Gao H, Guo JS. [An analysis on clinical characteristics and prognosis-related risk factors in patients with drug-induced liver injury]. Zhonghua Gan Zang Bing Za Zhi 2024; 32:214-221. [PMID: 38584102 DOI: 10.3760/cma.j.cn501113-20240201-00072] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [MESH Headings] [Grants] [Subscribe] [Scholar Register] [Indexed: 04/09/2024]
Abstract
Objective: To explore the drugs and clinical characteristics causing drug-induced liver injury (DILI) in recent years, as well as identify drug-induced liver failure, and chronic DILI risk factors, in order to better manage them timely. Methods: A retrospective investigation and analysis was conducted on 224 cases diagnosed with DILI and followed up for at least six months between January 2018 and December 2020. Univariate and multivariate logistic regression analyses were used to identify risk factors for drug-induced liver failure and chronic DILI. Results: Traditional Chinese medicine (accounting for 62.5%), herbal medicine (accounting for 84.3% of traditional Chinese medicine), and some Chinese patent medicines were the main causes of DILI found in this study. Severe and chronic DILI was associated with cholestatic type. Preexisting gallbladder disease, initial total bilirubin, initial prothrombin time, and initial antinuclear antibody titer were independent risk factors for DILI. Prolonged time interval between alkaline phosphatase (ALP) and alanine aminotransferase (ALT) falling from the peak to half of the peak (T(0.5ALP) and T(0.5ALT)) was an independent risk factor for chronic DILI [area under the receiver operating characteristic curve (AUC) = 0.787, 95%CI: 0.697~0.878, P < 0.001], with cutoff values of 12.5d and 9.5d, respectively. Conclusion: Traditional Chinese medicine is the main contributing cause of DILI. The occurrence risk of severe DILI is related to preexisting gallbladder disease, initial total bilirubin, prothrombin time, and antinuclear antibodies. T(0.5ALP) and T(0.5ALT) can be used as indicators to predict chronic DILI.
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Affiliation(s)
- Q Wei
- Department of Gastroenterology and Hepatology, Zhongshan Hospital, Fudan University, Shanghai Institute of Liver Diseases, Shanghai 200032, China
| | - L Li
- Department of Gastroenterology and Hepatology, Zhongshan Hospital, Fudan University, Shanghai Institute of Liver Diseases, Shanghai 200032, China
| | - X Q Zeng
- Department of Gastroenterology and Hepatology, Zhongshan Hospital, Fudan University, Shanghai Institute of Liver Diseases, Shanghai 200032, China
| | - Bai He Ti Ya Er Abidan
- Department of Gastroenterology and Hepatology, Zhongshan Hospital, Fudan University, Shanghai Institute of Liver Diseases, Shanghai 200032, China
| | - J Yin
- Department of Gastroenterology and Hepatology, Zhongshan Hospital, Fudan University, Shanghai Institute of Liver Diseases, Shanghai 200032, China
| | - H Gao
- Department of Gastroenterology and Hepatology, Zhongshan Hospital, Fudan University, Shanghai Institute of Liver Diseases, Shanghai 200032, China
| | - J S Guo
- Department of Gastroenterology and Hepatology, Zhongshan Hospital, Fudan University, Shanghai Institute of Liver Diseases, Shanghai 200032, China
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Yang X, Hu X, Yin J, Li W, Fu Y, Yang B, Fan J, Lu F, Qin T, Kang X, Zhuang X, Li F, Xiao R, Shi T, Song K, Li J, Chen G, Sun C. Comprehensive multi-omics analysis reveals WEE1 as a synergistic lethal target with hyperthermia through CDK1 super-activation. Nat Commun 2024; 15:2089. [PMID: 38453961 PMCID: PMC10920785 DOI: 10.1038/s41467-024-46358-w] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 03/09/2023] [Accepted: 02/23/2024] [Indexed: 03/09/2024] Open
Abstract
Hyperthermic intraperitoneal chemotherapy's role in ovarian cancer remains controversial, hindered by limited understanding of hyperthermia-induced tumor cellular changes. This limits developing potent combinatory strategies anchored in hyperthermic intraperitoneal therapy (HIPET). Here, we perform a comprehensive multi-omics study on ovarian cancer cells under hyperthermia, unveiling a distinct molecular panorama, primarily characterized by rapid protein phosphorylation changes. Based on the phospho-signature, we pinpoint CDK1 kinase is hyperactivated during hyperthermia, influencing the global signaling landscape. We observe dynamic, reversible CDK1 activity, causing replication arrest and early mitotic entry post-hyperthermia. Subsequent drug screening shows WEE1 inhibition synergistically destroys cancer cells with hyperthermia. An in-house developed miniaturized device confirms hyperthermia and WEE1 inhibitor combination significantly reduces tumors in vivo. These findings offer additional insights into HIPET, detailing molecular mechanisms of hyperthermia and identifying precise drug combinations for targeted treatment. This research propels the concept of precise hyperthermic intraperitoneal therapy, highlighting its potential against ovarian cancer.
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Affiliation(s)
- Xiaohang Yang
- Cancer Biology Research Center (Key Laboratory of the Ministry of Education), Tongji Hospital, Tongji Medical College, Huazhong University of Science and Technology, Wuhan, 430000, Hubei, PR China
- Department of Gynecology and Obstetrics, Tongji Hospital, Tongji Medical College, Huazhong University of Science and Technology, Wuhan, 430000, Hubei, PR China
- Department of Obstetrics and Gynecology, Qilu Hospital of Shandong University, Jinan, 250012, PR China
| | - Xingyuan Hu
- Cancer Biology Research Center (Key Laboratory of the Ministry of Education), Tongji Hospital, Tongji Medical College, Huazhong University of Science and Technology, Wuhan, 430000, Hubei, PR China
- Department of Gynecology and Obstetrics, Tongji Hospital, Tongji Medical College, Huazhong University of Science and Technology, Wuhan, 430000, Hubei, PR China
| | - Jingjing Yin
- Cancer Biology Research Center (Key Laboratory of the Ministry of Education), Tongji Hospital, Tongji Medical College, Huazhong University of Science and Technology, Wuhan, 430000, Hubei, PR China
- Department of Gynecology and Obstetrics, Tongji Hospital, Tongji Medical College, Huazhong University of Science and Technology, Wuhan, 430000, Hubei, PR China
| | - Wenting Li
- Cancer Biology Research Center (Key Laboratory of the Ministry of Education), Tongji Hospital, Tongji Medical College, Huazhong University of Science and Technology, Wuhan, 430000, Hubei, PR China
- Department of Gynecology and Obstetrics, Tongji Hospital, Tongji Medical College, Huazhong University of Science and Technology, Wuhan, 430000, Hubei, PR China
- Department of Obstetrics and Gynecology, The First Affiliated Hospital of Shihezi University Shihezi, Xinjiang, 832000, PR China
| | - Yu Fu
- Cancer Biology Research Center (Key Laboratory of the Ministry of Education), Tongji Hospital, Tongji Medical College, Huazhong University of Science and Technology, Wuhan, 430000, Hubei, PR China
- Department of Gynecology and Obstetrics, Tongji Hospital, Tongji Medical College, Huazhong University of Science and Technology, Wuhan, 430000, Hubei, PR China
| | - Bin Yang
- Cancer Biology Research Center (Key Laboratory of the Ministry of Education), Tongji Hospital, Tongji Medical College, Huazhong University of Science and Technology, Wuhan, 430000, Hubei, PR China
- Department of Gynecology and Obstetrics, Tongji Hospital, Tongji Medical College, Huazhong University of Science and Technology, Wuhan, 430000, Hubei, PR China
| | - Junpeng Fan
- Cancer Biology Research Center (Key Laboratory of the Ministry of Education), Tongji Hospital, Tongji Medical College, Huazhong University of Science and Technology, Wuhan, 430000, Hubei, PR China
- Department of Gynecology and Obstetrics, Tongji Hospital, Tongji Medical College, Huazhong University of Science and Technology, Wuhan, 430000, Hubei, PR China
| | - Funian Lu
- Cancer Biology Research Center (Key Laboratory of the Ministry of Education), Tongji Hospital, Tongji Medical College, Huazhong University of Science and Technology, Wuhan, 430000, Hubei, PR China
- Department of Gynecology and Obstetrics, Tongji Hospital, Tongji Medical College, Huazhong University of Science and Technology, Wuhan, 430000, Hubei, PR China
| | - Tianyu Qin
- Cancer Biology Research Center (Key Laboratory of the Ministry of Education), Tongji Hospital, Tongji Medical College, Huazhong University of Science and Technology, Wuhan, 430000, Hubei, PR China
- Department of Gynecology and Obstetrics, Tongji Hospital, Tongji Medical College, Huazhong University of Science and Technology, Wuhan, 430000, Hubei, PR China
| | - Xiaoyan Kang
- Cancer Biology Research Center (Key Laboratory of the Ministry of Education), Tongji Hospital, Tongji Medical College, Huazhong University of Science and Technology, Wuhan, 430000, Hubei, PR China
- Department of Gynecology and Obstetrics, Tongji Hospital, Tongji Medical College, Huazhong University of Science and Technology, Wuhan, 430000, Hubei, PR China
| | - Xucui Zhuang
- Cancer Biology Research Center (Key Laboratory of the Ministry of Education), Tongji Hospital, Tongji Medical College, Huazhong University of Science and Technology, Wuhan, 430000, Hubei, PR China
- Department of Gynecology and Obstetrics, Tongji Hospital, Tongji Medical College, Huazhong University of Science and Technology, Wuhan, 430000, Hubei, PR China
| | - Fuxia Li
- Department of Obstetrics and Gynecology, The First Affiliated Hospital of Shihezi University Shihezi, Xinjiang, 832000, PR China
| | - Rourou Xiao
- Department of Gynecology and Obstetrics, Zhongnan Hospital of Wuhan University, Wuhan, 430071, Hubei, PR China
| | - Tingyan Shi
- Ovarian Cancer Program, Department of Gynecologic Oncology, Zhongshan Hospital, Fudan University, Shanghai, 200032, PR China
| | - Kun Song
- Department of Obstetrics and Gynecology, Qilu Hospital of Shandong University, Jinan, 250012, PR China
| | - Jing Li
- Department of Gynecologic Oncology, Sun Yat-sen Memorial Hospital, 33 Yingfeng Road, Guangzhou, 510000, PR China.
| | - Gang Chen
- Cancer Biology Research Center (Key Laboratory of the Ministry of Education), Tongji Hospital, Tongji Medical College, Huazhong University of Science and Technology, Wuhan, 430000, Hubei, PR China.
- Department of Gynecology and Obstetrics, Tongji Hospital, Tongji Medical College, Huazhong University of Science and Technology, Wuhan, 430000, Hubei, PR China.
| | - Chaoyang Sun
- Cancer Biology Research Center (Key Laboratory of the Ministry of Education), Tongji Hospital, Tongji Medical College, Huazhong University of Science and Technology, Wuhan, 430000, Hubei, PR China.
- Department of Gynecology and Obstetrics, Tongji Hospital, Tongji Medical College, Huazhong University of Science and Technology, Wuhan, 430000, Hubei, PR China.
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Wei MY, Yin J, Liao Y, Liu JY, Zhao Y, Chen XM, Liu Y, Wang XM, Huang CL. The efficacy and safety of venetoclax combined with demethylating agents in elderly patients with acute myeloid leukemia: a systematic review and meta-analysis. Eur Rev Med Pharmacol Sci 2024; 28:1837-1846. [PMID: 38497866 DOI: 10.26355/eurrev_202403_35597] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [MESH Headings] [Subscribe] [Scholar Register] [Indexed: 03/19/2024]
Abstract
OBJECTIVE The aim of this study was to evaluate the efficacy and adverse effects of venetoclax in combination with hypomethylating agents in elderly with acute myeloid leukemia. MATERIALS AND METHODS A comprehensive literature search identified related studies from PubMed, Medline, Embase, Scopus, and Cochrane Library. Overall complete remission (CR) and overall response rate (ORR) were applied to evaluate the efficacy of venetoclax in combination with hypomethylating agents in elderly with acute myeloid leukemia, and incidence of grade 3-4 adverse events were used to evaluate the safety. RESULTS 10 studies, including a total of 930 patients, were identified in our study and analyzed using the random-effects model. Meta-analysis showed the pooled overall CR rate of 70% (95% CI: 63-77%), the pooled ORR rate of 53% (95% CI: 39-67%), and the median overall survival ranged from 7.7 to 16.9 months. A total of 6 studies reported related adverse events, mainly including thrombocytopenia, febrile neutropenia, neutropenia, leukopenia, anemia, and pneumonia. The pooled incidence of overall adverse events was 30% (95% CI: 22-38%), and all adverse events were tolerable and resolved with treatment. CONCLUSIONS The combination of venetoclax and demethylating drugs has a good therapeutic effect on elderly patients with acute myeloid leukemia, but it also induces some adverse events. Although this therapy has a small impact on the quality of life, further attention is still needed to reduce the occurrence of such adverse events.
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Affiliation(s)
- M-Y Wei
- Stem Cell Immunity and Regeneration Key Laboratory of Luzhou, The Affiliated Hospital, Southwest Medical University, Luzhou, China.
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Zheng Y, Hou Z, Ma S, Huang Z, Peng J, Huang S, Guo R, Huang J, Lin Z, Zhuang Z, Yin J, Xie L. Altered dynamic functional network connectivity in rheumatoid arthritis associated with peripheral inflammation and neuropsychiatric disorders. RMD Open 2024; 10:e003684. [PMID: 38428977 PMCID: PMC10910624 DOI: 10.1136/rmdopen-2023-003684] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 09/06/2023] [Accepted: 02/12/2024] [Indexed: 03/03/2024] Open
Abstract
OBJECTIVE This study explored the dynamic functional connective (DFC) alterations in patients with rheumatoid arthritis (RA) and investigated the correlation between the neuropsychiatric symptoms, peripheral inflammation and DFC alterations. METHOD Using resting-state functional MRI, we investigated the DFC based on spatial independent component analysis and sliding window method for 30 patients with RA and 30 healthy controls (HCs). The Spearman correlation was calculated between aberrant DFC alterations, Montreal Cognitive Assessment (MoCA), Hospital Anxiety and Depression Scale (HAD), C reactive protein (CRP) and erythrocyte sedimentation rate (ESR). Diagnostic efficacy of indicators was assessed using receiver operating characteristic analysis (ROC). RESULTS Three dynamic functional states were identified. Compared with HC, patients with RA showed reduced FC variabilities between sensorimotor network (SMN) and insula, SMN and orbitofrontal cortex, which were the crucial regions of sensory processing network. The above FC variabilities were correlated with the MoCA, HAD, CRP and ESR in patients with RA. Additionally, the CRP and ESR were negatively correlated to MoCA and positively related to HAD in patients with RA. The ROC analysis results showed that MoCA, HAD and FC variabilities of the sensory processing network could distinguish patients with RA from HC and also identify patients with RA with high ESR. CONCLUSION Our findings demonstrated that abnormal DFC patterns in sensory processing networks in patients with RA were closely associated with peripheral inflammation and neuropsychiatric symptoms. This indicates that the dynamic temporal characteristics of the brain functional network may be potential neuroimaging biomarkers for revealing the pathological mechanism of RA.
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Affiliation(s)
- Yanmin Zheng
- Department of Radiology, The First Affiliated Hospital of Shantou University Medical College, Shantou, China
- Laboratory of Medical Molecular Imaging, The First Affiliated Hospital of Shantou University Medical College, Shantou, China
| | - Zhiduo Hou
- Department of Rheumatology, The First Affiliated Hospital of Shantou University Medical College, Shantou, China
| | - Shuhua Ma
- Department of Radiology, The First Affiliated Hospital of Shantou University Medical College, Shantou, China
- Laboratory of Medical Molecular Imaging, The First Affiliated Hospital of Shantou University Medical College, Shantou, China
| | - Zikai Huang
- Department of Radiology, The First Affiliated Hospital of Shantou University Medical College, Shantou, China
- Laboratory of Medical Molecular Imaging, The First Affiliated Hospital of Shantou University Medical College, Shantou, China
| | - Jianhua Peng
- Department of Rheumatology, The First Affiliated Hospital of Shantou University Medical College, Shantou, China
| | - Shuxin Huang
- Department of Rheumatology, The First Affiliated Hospital of Shantou University Medical College, Shantou, China
| | - Ruiwei Guo
- Department of Radiology, The First Affiliated Hospital of Shantou University Medical College, Shantou, China
- Laboratory of Medical Molecular Imaging, The First Affiliated Hospital of Shantou University Medical College, Shantou, China
| | - Jinzhuang Huang
- Department of Radiology, The First Affiliated Hospital of Shantou University Medical College, Shantou, China
- Laboratory of Medical Molecular Imaging, The First Affiliated Hospital of Shantou University Medical College, Shantou, China
| | - Zhirong Lin
- Department of Radiology, The First Affiliated Hospital of Shantou University Medical College, Shantou, China
| | - Zelin Zhuang
- Department of Radiology, The First Affiliated Hospital of Shantou University Medical College, Shantou, China
- Laboratory of Medical Molecular Imaging, The First Affiliated Hospital of Shantou University Medical College, Shantou, China
| | - Jingjing Yin
- Department of Radiology, The First Affiliated Hospital of Shantou University Medical College, Shantou, China
- Laboratory of Medical Molecular Imaging, The First Affiliated Hospital of Shantou University Medical College, Shantou, China
| | - Lei Xie
- Department of Radiology, The First Affiliated Hospital of Shantou University Medical College, Shantou, China
- Laboratory of Medical Molecular Imaging, The First Affiliated Hospital of Shantou University Medical College, Shantou, China
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Wang J, Yin J, Tian L. Evaluating joint confidence region of hypervolume under ROC manifold and generalized Youden index. Stat Med 2024; 43:869-889. [PMID: 38115806 DOI: 10.1002/sim.9998] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 05/10/2023] [Revised: 10/25/2023] [Accepted: 12/05/2023] [Indexed: 12/21/2023]
Abstract
In biomarker evaluation/diagnostic studies, the hypervolume under the receiver operating characteristic manifold (HUM K $$ {\mathrm{HUM}}_K $$ ) and the generalized Youden index (J K $$ {J}_K $$ ) are the most popular measures for assessing classification accuracy under multiple classes. WhileHUM K $$ {\mathrm{HUM}}_K $$ is frequently used to evaluate the overall accuracy,J K $$ {J}_K $$ provides direct measure of accuracy at the optimal cut-points. Simultaneous evaluation ofHUM K $$ {\mathrm{HUM}}_K $$ andJ K $$ {J}_K $$ provides a comprehensive picture about the classification accuracy of the biomarker/diagnostic test under consideration. This article studies both parametric and non-parametric approaches for estimating the confidence region ofHUM K $$ {\mathrm{HUM}}_K $$ andJ K $$ {J}_K $$ for a single biomarker. The performances of the proposed methods are investigated by an extensive simulation study and are applied to a real data set from the Alzheimer's Disease Neuroimaging Initiative.
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Affiliation(s)
- Jia Wang
- Department of Biostatistics, University at Buffalo, Buffalo, New York, USA
| | - Jingjing Yin
- Department of Biostatistics, Epidemiology and Environmental Health Sciences, Jiann-Ping Hsu College Public Health, Georgia Southern University, Statesboro, Georgia, USA
| | - Lili Tian
- Department of Biostatistics, University at Buffalo, Buffalo, New York, USA
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Wu ZD, Zhang Q, Yin J, Wang XM, Zhang ZJ, Wu WF, Li FJ. Author Correction: Interactions of multiple biological fields in stored grain ecosystems. Sci Rep 2024; 14:4388. [PMID: 38388658 PMCID: PMC10883938 DOI: 10.1038/s41598-024-54618-4] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 02/24/2024] Open
Affiliation(s)
- Z D Wu
- Jilin University, Changchun, China.
| | - Q Zhang
- University of Manitoba, Winnipeg, Manitoba, Canada.
| | - J Yin
- Academy of National Food and Strategic Reservation Administration, Beijing, China
| | - X M Wang
- Jilin University, Changchun, China
| | - Z J Zhang
- Academy of National Food and Strategic Reservation Administration, Beijing, China
| | - W F Wu
- Jilin University, Changchun, China
| | - F J Li
- Academy of National Food and Strategic Reservation Administration, Beijing, China
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Ansari MA, Syed R, Shahid M, Yin J. Correlation between serum galanin and neuron-specific enolase levels with EEG abnormalities in pediatric convulsive status epilepticus and the efficacy of triple drug therapy. Eur Rev Med Pharmacol Sci 2024; 28:1194-1201. [PMID: 38375724 DOI: 10.26355/eurrev_202402_35358] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [MESH Headings] [Subscribe] [Scholar Register] [Indexed: 02/21/2024]
Abstract
OBJECTIVE This study aimed to investigate the association between serum galanin (GAL) and neuron-specific enolase (NSE) levels in children with convulsive status epilepticus (CSE) and their relationship with abnormal electroencephalogram (EEG) patterns. Additionally, the study assessed the effectiveness of a combination therapy involving midazolam, diazepam, and phenobarbital in treating CSE. PATIENTS AND METHODS The research involved 100 children diagnosed with CSE and included a control group of 50 healthy children. Serum GAL and NSE levels were measured, and EEGs were analyzed for abnormalities in the CSE group. Comparisons were made between the healthy control group and the CSE group, particularly within the first 24 hours after persistent seizures. The severity of EEG abnormalities was correlated with GAL and NSE levels. The treatment consisted of an observation group that received the triple therapy of midazolam, diazepam, and phenobarbital, while a control group received diazepam and phenobarbital. Clinical efficacy, symptom improvement, Status Epilepticus Severity Score (STESS), and adverse reactions were evaluated. RESULTS The results indicated elevated levels of GAL and NSE in the CSE group, with higher levels noted within 24 hours after persistent seizures. Furthermore, a positive correlation was observed between the severity of EEG abnormalities and GAL and NSE levels. The group receiving the triple therapy demonstrated superior efficacy, faster resolution of seizures and fever, reduced STESS scores, and fewer adverse reactions than the control group. In conclusion, this study highlights the positive correlation between serum GAL and NSE levels and the severity of EEG abnormalities in pediatric CSE. The triple therapy approach is effective in treating CSE, leading to improved clinical symptoms, reduced brain damage, and enhanced safety. CONCLUSIONS The study concludes that serum GAL and NSE levels in children with convulsive status epilepticus are positively correlated with the degree of EEG abnormalities. The combination therapy involving midazolam, diazepam, and phenobarbital is effective in treating children with convulsive status epilepticus, significantly improving clinical symptoms, reducing brain damage, and ensuring safety.
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Affiliation(s)
- M A Ansari
- Department of Pharmacology and Toxicology, College of Pharmacy, King Saud University, Riyadh 11451, Saudi Arabia.
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Xu D, Tu M, Zhang K, Wu PF, Lyu N, Wang QQ, Yin J, Wu Y, Lu ZP, Chen JM, Xi CH, Wei JS, Guo F, Miao Y, Jiang KR. [Short-term outcomes of the TRIANGLE operation after neoadjuvant chemotherapy in locally advanced pancreatic cancer]. Zhonghua Wai Ke Za Zhi 2024; 62:147-154. [PMID: 38310383 DOI: 10.3760/cma.j.cn112139-20230615-000234] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [MESH Headings] [Grants] [Subscribe] [Scholar Register] [Indexed: 02/05/2024]
Abstract
Objective: To investigate the safety and efficacy of the TRIANGLE operation after neoadjuvant chemotherapy in locally advanced pancreatic cancer(LAPC). Methods: This study is a retrospective case series analysis. Between January 2020 and December 2022, a total of 103 patients were diagnosed as LAPC who underwent neoadjuvant chemotherapy at the Pancreas Center, the First Affiliated Hospital of Nanjing Medical University. Among them, 26 patients (25.2%) underwent the TRIANGLE operation. There were 15 males and 11 females,with a age of (59±7) years (range: 49 to 74 years). The pre-treatment serum CA19-9(M(IQR)) was 248.8(391.6)U/ml (range: 0 to 1 428 U/ml),and the serum carcinoembryonic antigen was 4.1(3.8)μg/L(range: 1.4 to 13.4 μg/L). The neoadjuvant chemotherapy regimens included: mFOLFIRINOX regimen in 6 cases(23.1%), GnP regimen in 14 cases(53.8%), and mFOLFIRINOX+GnP regimen in 6 cases(23.1%). The follow-up duration extended until June 2023 or until the occurrence of the patient's death or loss to follow-up. The Kaplan-Meier method was employed to estimate the 1-year and 3-year overall survival rates. Results: After neoadjuvant chemotherapy,CA19-9 levels decreased by 92.3(40.1)%(range:2.1% to 97.7%). Evaluation of the response to treatment revealed 13 cases(50.0%) of stable disease,11 cases(42.3%) of partial response,and 2 cases(7.7%) of complete response. The surgical operation consisted of 12 cases(46.2%) of pancreaticoduodenectomy,12 cases(46.2%) of distal pancreatectomy,and 2 cases(7.7%) of total pancreatectomy. Margin determination was based on the "standardised pathology protocol" and the "1 mm" principle. No R2 and R1(direct) resections were observed,while the R0 resection rate was 61.5%(16/26), and the R1(1 mm) resection rate was 38.5%(10/26).The R1(1 mm) resection rates for the anterior margin,posterior margin,transected margin,portal vein groove margin,and uncinate margin were 23.1%(6/26),19.2%(5/26),12.5%(3/24),2/14, and 1/12, respectively. The overall postoperative complication rate was 57.8%(15/26),with major complications including grade B/C pancreatic fistula 25.0%(6/24,excluding 2 cases of total pancreatectomy),delayed gastric emptying in 23.1%(6/26),wound complications 11.5%(3/26),postoperative hemorrhage 7.7%(2/26), chylous fistula 7.7%(2/26) and bile fistula 3.8%(1/26). No reoperation was performed during the perioperative period(<90 days). One patient died on the 32nd day postoperatively due to a ruptured pseudoaneurysm. A total of 25 patients were followed up,with a follow-up time of 21(24)months(range: 8 to 42 months). During the follow-up period,8 cases(32.0%) died due to tumor recurrence and metastasis,while 17 patients(68.0%) remained alive,including 11 cases of disease-free survival,5 cases of distant metastasis,and 1 case of local recurrence. The overall survival rates at 1- and 3-year after the initiation of neoadjuvant chemotherapy were 95.8% and 58.9%, respectively. The overall survival rates at 1- and 3-year after surgery were 77.7% and 57.8%, respectively. Conclusion: Performing pancreatoduodenectomy according to the Heidelberg triangle protocol in LAPC patients after neoadjuvant chemotherapy might increase the R0 resection rate without increasing perioperative mortality or the incidence of major postoperative complications.
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Affiliation(s)
- D Xu
- Pancreas Center, the First Affiliated Hospital of Nanjing Medical University, Nanjing 210029, China
| | - M Tu
- Pancreas Center, the First Affiliated Hospital of Nanjing Medical University, Nanjing 210029, China
| | - K Zhang
- Pancreas Center, the First Affiliated Hospital of Nanjing Medical University, Nanjing 210029, China
| | - P F Wu
- Pancreas Center, the First Affiliated Hospital of Nanjing Medical University, Nanjing 210029, China
| | - N Lyu
- Pancreas Center, the First Affiliated Hospital of Nanjing Medical University, Nanjing 210029, China
| | - Q Q Wang
- Pancreas Center, the First Affiliated Hospital of Nanjing Medical University, Nanjing 210029, China
| | - J Yin
- Pancreas Center, the First Affiliated Hospital of Nanjing Medical University, Nanjing 210029, China
| | - Y Wu
- Pancreas Center, the First Affiliated Hospital of Nanjing Medical University, Nanjing 210029, China
| | - Z P Lu
- Pancreas Center, the First Affiliated Hospital of Nanjing Medical University, Nanjing 210029, China
| | - J M Chen
- Pancreas Center, the First Affiliated Hospital of Nanjing Medical University, Nanjing 210029, China
| | - C H Xi
- Pancreas Center, the First Affiliated Hospital of Nanjing Medical University, Nanjing 210029, China
| | - J S Wei
- Pancreas Center, the First Affiliated Hospital of Nanjing Medical University, Nanjing 210029, China
| | - F Guo
- Pancreas Center, the First Affiliated Hospital of Nanjing Medical University, Nanjing 210029, China
| | - Y Miao
- Pancreas Center, the First Affiliated Hospital of Nanjing Medical University, Nanjing 210029, China
| | - K R Jiang
- Pancreas Center, the First Affiliated Hospital of Nanjing Medical University, Nanjing 210029, China
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Zheng Y, Xie L, Huang Z, Peng J, Huang S, Guo R, Huang J, Lin Z, Zhuang Z, Yin J, Hou Z, Ma S. Functional dysconnectivity and microstructural impairment of the cortico-thalamo-cortical network in women with rheumatoid arthritis: A multimodal MRI study. Heliyon 2024; 10:e24725. [PMID: 38304809 PMCID: PMC10830510 DOI: 10.1016/j.heliyon.2024.e24725] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 06/29/2023] [Revised: 11/29/2023] [Accepted: 01/12/2024] [Indexed: 02/03/2024] Open
Abstract
Background Cognitive deficits are common in rheumatoid arthritis (RA) patients, but the mechanisms remain unclear. We investigated the effective connectivity and structural alterations of the core brain regions in RA patients with cognitive impairment. Methods Twenty-four female patients with RA and twenty-four healthy controls were enrolled. We analyzed abnormal brain activity patterns using functional MRI during the Iowa gambling task (IGT) and core regions effective connectivity using dynamic causal model (DCM). Structural alterations of white matter volume (WMV) and gray matter volume (GMV) were detected using voxel-based morphometry (VBM). Results RA patients showed altered activation patterns of the cortico-thalamo-cortical network, increased coupling strength from the left ventromedial prefrontal gyrus to the anterior cingulate cortex (ACC), the ACC to the right thalamus, and decreased connectivity from the thalamus to left hippocampus. VBM structural analysis showed increased GMV in the bilateral orbital frontal gyrus, bilateral hippocampus and right putamen, and reduced GMV and WMV in the bilateral thalamus in RA patients. Right thalamic GMV and WMV were positively correlated with the right thalamus-to-hippocampus connective strength. Additionally, the bold signal, GMV and WMV of the right thalamus were positively correlated with cognitive performance (IGT score) in RA patients. Conclusion Results suggest a structural and functional deficiency in the cortico-thalamo-cortical network, which is characterized by increased ACC-to-thalamus strength and reduced thalamus-to-hippocampus coupling in RA patients. The cognitive dysfunction may be the result of compensatory measures against imbalanced cortico-thalamic-cortical coupling.
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Affiliation(s)
- Yanmin Zheng
- Department of Radiology, The First Affiliated Hospital of Shantou University Medical College, Shantou, China
- Laboratory of Medical Molecular Imaging, The First Affiliated Hospital of Shantou University Medical College, Shantou, China
| | - Lei Xie
- Department of Radiology, The First Affiliated Hospital of Shantou University Medical College, Shantou, China
- Laboratory of Medical Molecular Imaging, The First Affiliated Hospital of Shantou University Medical College, Shantou, China
| | - Zikai Huang
- Department of Radiology, The First Affiliated Hospital of Shantou University Medical College, Shantou, China
- Laboratory of Medical Molecular Imaging, The First Affiliated Hospital of Shantou University Medical College, Shantou, China
| | - Jianhua Peng
- Department of Rheumatology, The First Affiliated Hospital of Shantou University Medical College, Shantou, China
| | - Shuxin Huang
- Department of Rheumatology, The First Affiliated Hospital of Shantou University Medical College, Shantou, China
| | - Ruiwei Guo
- Department of Radiology, The First Affiliated Hospital of Shantou University Medical College, Shantou, China
- Laboratory of Medical Molecular Imaging, The First Affiliated Hospital of Shantou University Medical College, Shantou, China
| | - Jinzhuang Huang
- Department of Radiology, The First Affiliated Hospital of Shantou University Medical College, Shantou, China
- Laboratory of Medical Molecular Imaging, The First Affiliated Hospital of Shantou University Medical College, Shantou, China
| | - Zhirong Lin
- Department of Radiology, The First Affiliated Hospital of Shantou University Medical College, Shantou, China
| | - Zelin Zhuang
- Department of Radiology, The First Affiliated Hospital of Shantou University Medical College, Shantou, China
- Laboratory of Medical Molecular Imaging, The First Affiliated Hospital of Shantou University Medical College, Shantou, China
| | - Jingjing Yin
- Department of Radiology, The First Affiliated Hospital of Shantou University Medical College, Shantou, China
- Laboratory of Medical Molecular Imaging, The First Affiliated Hospital of Shantou University Medical College, Shantou, China
| | - Zhiduo Hou
- Department of Rheumatology, The First Affiliated Hospital of Shantou University Medical College, Shantou, China
| | - Shuhua Ma
- Department of Radiology, The First Affiliated Hospital of Shantou University Medical College, Shantou, China
- Laboratory of Medical Molecular Imaging, The First Affiliated Hospital of Shantou University Medical College, Shantou, China
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Gao J, Zhang Y, Wang X, Sun Q, Yin J. Active screening for tuberculosis among high-risk populations in high-burden areas in Zhejiang province, China. Public Health 2024; 226:138-143. [PMID: 38056401 DOI: 10.1016/j.puhe.2023.10.051] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 05/09/2023] [Revised: 10/13/2023] [Accepted: 10/31/2023] [Indexed: 12/08/2023]
Abstract
OBJECTIVES Tuberculosis (TB) is a major global public health concern. Although the incidence of TB in China is declining, the country continues to face many challenges regarding TB control. This study aimed to develop an active case finding (ACF) strategy for high-risk populations in areas with high TB burden and evaluate the effectiveness of the ACF strategy for early TB detection in patients to reduce TB transmission. STUDY DESIGN This was a descriptive study. METHODS From May to October 2019, active TB screening was conducted in Zhejiang Province, China. Overall, 24 high-burden townships were chosen as study sites. Residents aged ≥65 years, suffering from diabetes, diagnosed with HIV/AIDS, or with a history of TB were mobilized for screening. Chest radiography was performed for all participants in the community. Sputum specimens were collected for sputum smear tests and cultures at county-level TB-designed hospitals. A professional medical team performed the final diagnoses. RESULTS Overall, 130,643 residents were included, accounting for 8.85% of the total population in the selected areas. After screening, 89 confirmed cases and 419 suspected cases were identified. The detection rates for suspected and confirmed cases were 320.72/100,000 and 68.12/100,000, respectively. Individuals with a history of TB accounted for a large proportion of detected cases, and the detection rate was higher among males than in females. This study identified 10.5% of reported cases in the selected areas in 2019. In Zhejiang province, compared with the previous year, the rates of TB notification in 2019 and 2020 declined by 7.0% and 7.4%, respectively, compared with the previous year. However, the TB notification rate in 2019 was almost the same as that in 2018 (a decline of 2.5%) but sharply declined in 2020 (14.4%) in the screened areas. CONCLUSIONS Our findings suggest that the ACF strategy may have helped to maintain the downward trends in TB notification rates by detecting patients with TB and suspected cases in the short term.
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Affiliation(s)
- J Gao
- Center for Health Management and Policy Research, School of Public Health, Cheeloo College of Medicine, Shandong University, Jinan, 250012, China; NHC Key Lab of Health Economics and Policy Research (Shandong University), Jinan, 250012, China.
| | - Y Zhang
- Department of Tuberculosis Control and Prevention, Zhejiang Provincial Center for Disease Control and Prevention, Hangzhou, Zhejiang Province, China.
| | - X Wang
- Department of Tuberculosis Control and Prevention, Zhejiang Provincial Center for Disease Control and Prevention, Hangzhou, Zhejiang Province, China.
| | - Q Sun
- Center for Health Management and Policy Research, School of Public Health, Cheeloo College of Medicine, Shandong University, Jinan, 250012, China; NHC Key Lab of Health Economics and Policy Research (Shandong University), Jinan, 250012, China.
| | - J Yin
- Center for Health Management and Policy Research, School of Public Health, Cheeloo College of Medicine, Shandong University, Jinan, 250012, China; NHC Key Lab of Health Economics and Policy Research (Shandong University), Jinan, 250012, China.
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Yun X, Bai J, Feng R, Li J, Wang T, Yang Y, Yin J, Qian L, Zhang S, Cao Q, Xue X, Jing H, Liu H. Validation and modification of simplified Geriatric Assessment and Elderly Prognostic Index: Effective tools for older patients with diffuse large B-cell lymphoma. Cancer Med 2023; 13:e6856. [PMID: 38132832 PMCID: PMC10807600 DOI: 10.1002/cam4.6856] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 08/29/2023] [Revised: 11/29/2023] [Accepted: 12/10/2023] [Indexed: 12/23/2023] Open
Abstract
Geriatric assessment can aid in optimizing treatment strategies and supportive interventions for older patients with diffuse large B-cell lymphoma (DLBCL). Fondazione Italiana Linformi has recently introduced novel geriatric assessment tools, simplified Geriatric Assessment (sGA) and Elderly Prognostic Index (EPI), aimed at tailoring the treatment and predicting the outcomes for older patients with DLBCL. The objectives of this study are the validation and possible modification of the sGA and EPI in China. In the study, both sGA and EPI demonstrated the predictive capabilities for overall survival (OS) and early mortality (both p < 0.05) in older individuals with DLBCL. Albumin, serving as an independent predictive biomarker for OS (p = 0.006), was utilized to adjust the measurements, resulting in the establishment of sGA-A and EPI-A. The sGA-A effectively addressed the shortcomings of the sGA and EPI in predicting PFS and surpassed them in predicting OS and early mortality. Nevertheless, there is insufficient evidence to support the use of sGA and EPI as treatment guidance tools. In conclusion, the modified sGA-A model proved to be a successful instrument for geriatric assessment of older patients with DLBCL.
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Affiliation(s)
- Xiaoya Yun
- Department of Hematology, Beijing Hospital, National Center of GerontologyInstitute of Geriatric Medicine, Chinese Academy of Medical SciencesBeijingP.R. China
- Graduate School of Peking Union Medical College, Chinese Academy of Medical SciencesBeijingChina
| | - Jiefei Bai
- Department of Hematology, Beijing Hospital, National Center of GerontologyInstitute of Geriatric Medicine, Chinese Academy of Medical SciencesBeijingP.R. China
| | - Ru Feng
- Department of Hematology, Beijing Hospital, National Center of GerontologyInstitute of Geriatric Medicine, Chinese Academy of Medical SciencesBeijingP.R. China
| | - Jiangtao Li
- Department of Hematology, Beijing Hospital, National Center of GerontologyInstitute of Geriatric Medicine, Chinese Academy of Medical SciencesBeijingP.R. China
| | - Ting Wang
- Department of Hematology, Beijing Hospital, National Center of GerontologyInstitute of Geriatric Medicine, Chinese Academy of Medical SciencesBeijingP.R. China
| | - Yazi Yang
- Department of Hematology, Beijing Hospital, National Center of GerontologyInstitute of Geriatric Medicine, Chinese Academy of Medical SciencesBeijingP.R. China
| | - Jingjing Yin
- Department of Hematology, Beijing Hospital, National Center of GerontologyInstitute of Geriatric Medicine, Chinese Academy of Medical SciencesBeijingP.R. China
| | - Long Qian
- Department of Hematology, Beijing Hospital, National Center of GerontologyInstitute of Geriatric Medicine, Chinese Academy of Medical SciencesBeijingP.R. China
| | - Shuai Zhang
- Department of Hematology, Beijing Hospital, National Center of GerontologyInstitute of Geriatric Medicine, Chinese Academy of Medical SciencesBeijingP.R. China
| | - Qingyun Cao
- Department of Hematology, Beijing Hospital, National Center of GerontologyInstitute of Geriatric Medicine, Chinese Academy of Medical SciencesBeijingP.R. China
| | - Xiaoxuan Xue
- Department of Hematology, Beijing Hospital, National Center of GerontologyInstitute of Geriatric Medicine, Chinese Academy of Medical SciencesBeijingP.R. China
| | - Hongmei Jing
- Department of Hematology, Lymphoma Research CenterPeking University Third Hospital, Peking UniversityBeijingChina
| | - Hui Liu
- Department of Hematology, Beijing Hospital, National Center of GerontologyInstitute of Geriatric Medicine, Chinese Academy of Medical SciencesBeijingP.R. China
- Graduate School of Peking Union Medical College, Chinese Academy of Medical SciencesBeijingChina
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Li LS, Guan K, Yin J, Wang LL, Zhi YX, Sun JL, Li H, Wen LP, Tang R, Gu JQ, Wang ZX, Cui L, Xu YY, Bian SN. [Risk factors of systemic allergic reactions caused by subcutaneous allergen immunotherapy]. Zhonghua Yu Fang Yi Xue Za Zhi 2023; 57:1972-1977. [PMID: 38186144 DOI: 10.3760/cma.j.cn112150-20230703-00500] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [MESH Headings] [Grants] [Subscribe] [Scholar Register] [Indexed: 01/09/2024]
Abstract
Objective: To investigate the incidence and risk factors of systemic allergic reactions induced by subcutaneous immunotherapy (SCIT) in patients undergoing SCIT injections in Peking Union Medical College Hospital (PUMCH). Methods: This is a single center retrospective cohort study. Using the outpatient information system of PUMCH, the demographic information and injection-related reaction data of patients undergoing SCIT injection in Allergy Department of PUMCH from December 2018 to December 2022 were retrospectively analyzed to count the incidence and risk factors of systemic allergic reactions caused by SCIT. Mann-Whitney nonparametric test or chi-square test was used for single-factor analysis, and multiple logistic regression was used for multiple-factor analysis. Results: A total of 2 897 patients received 18 070 SCIT injections in Allergy Department during the four years, and 40 systemic allergic reactions occurred, with the overall incidence rate of 0.22%. The incidence of systemic allergic reaction was 0.37% when using imported dust mite preparation and 0.15% when using domestic multi-component allergen preparation. The risk factors significantly related with SCIT-induced systemic allergic reactions in patients using imported dust mite preparation were age less than 18 years old (OR=3.186,95%CI: 1.255-8.085), highest injection concentration (OR value could not be calculated because all patients with systemic reactions were injected with highest concentration), and large local reaction in previous injection (OR=22.264,95%CI: 8.205-60.411). The risk factors for SCIT-induced systemic allergic reactions in patients using domestic allergen preparation were 5 or more types of allergens (OR=3.455,95%CI: 1.147-10.402), highest injection concentration (OR=3.794,95%CI: 1.226-11.740) and large local reaction in previous injection (OR=63.577,95%CI: 22.248-181.683). However, SCIT injection in pollen allergic patients during the pollen season did not show a correlation with systemic allergic reaction. Conclusion: The incidence of SCIT-induced systemic allergic reactions was low in the Chinese patient population of this study. Patients with one or more risk factors, such as multiple allergen injection, highest injection concentration, large local reaction in previous injection, should be given high attention and vigilance against systemic allergic reactions.
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Affiliation(s)
- L S Li
- Department of Allergy, Peking Union Medical College Hospital, Chinese Academy of Medical Sciences, Beijing Key Laboratory of Precision Medicine for Diagnosis and Treatment on Allergic Diseases, Beijing 100730,China
| | - K Guan
- Department of Allergy, Peking Union Medical College Hospital, Chinese Academy of Medical Sciences, Beijing Key Laboratory of Precision Medicine for Diagnosis and Treatment on Allergic Diseases, Beijing 100730,China
| | - J Yin
- Department of Allergy, Peking Union Medical College Hospital, Chinese Academy of Medical Sciences, Beijing Key Laboratory of Precision Medicine for Diagnosis and Treatment on Allergic Diseases, Beijing 100730,China
| | - L L Wang
- Department of Allergy, Peking Union Medical College Hospital, Chinese Academy of Medical Sciences, Beijing Key Laboratory of Precision Medicine for Diagnosis and Treatment on Allergic Diseases, Beijing 100730,China
| | - Y X Zhi
- Department of Allergy, Peking Union Medical College Hospital, Chinese Academy of Medical Sciences, Beijing Key Laboratory of Precision Medicine for Diagnosis and Treatment on Allergic Diseases, Beijing 100730,China
| | - J L Sun
- Department of Allergy, Peking Union Medical College Hospital, Chinese Academy of Medical Sciences, Beijing Key Laboratory of Precision Medicine for Diagnosis and Treatment on Allergic Diseases, Beijing 100730,China
| | - H Li
- Department of Allergy, Peking Union Medical College Hospital, Chinese Academy of Medical Sciences, Beijing Key Laboratory of Precision Medicine for Diagnosis and Treatment on Allergic Diseases, Beijing 100730,China
| | - L P Wen
- Department of Allergy, Peking Union Medical College Hospital, Chinese Academy of Medical Sciences, Beijing Key Laboratory of Precision Medicine for Diagnosis and Treatment on Allergic Diseases, Beijing 100730,China
| | - R Tang
- Department of Allergy, Peking Union Medical College Hospital, Chinese Academy of Medical Sciences, Beijing Key Laboratory of Precision Medicine for Diagnosis and Treatment on Allergic Diseases, Beijing 100730,China
| | - J Q Gu
- Department of Allergy, Peking Union Medical College Hospital, Chinese Academy of Medical Sciences, Beijing Key Laboratory of Precision Medicine for Diagnosis and Treatment on Allergic Diseases, Beijing 100730,China
| | - Z X Wang
- Department of Allergy, Peking Union Medical College Hospital, Chinese Academy of Medical Sciences, Beijing Key Laboratory of Precision Medicine for Diagnosis and Treatment on Allergic Diseases, Beijing 100730,China
| | - L Cui
- Department of Allergy, Peking Union Medical College Hospital, Chinese Academy of Medical Sciences, Beijing Key Laboratory of Precision Medicine for Diagnosis and Treatment on Allergic Diseases, Beijing 100730,China
| | - Y Y Xu
- Department of Allergy, Peking Union Medical College Hospital, Chinese Academy of Medical Sciences, Beijing Key Laboratory of Precision Medicine for Diagnosis and Treatment on Allergic Diseases, Beijing 100730,China
| | - S N Bian
- Department of Allergy, Peking Union Medical College Hospital, Chinese Academy of Medical Sciences, Beijing Key Laboratory of Precision Medicine for Diagnosis and Treatment on Allergic Diseases, Beijing 100730,China
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Cowan B, Kvale M, Yin J, Patel S, Jorgenson E, Mostaedi R, Choquet H. Risk factors for inguinal hernia repair among US adults. Hernia 2023; 27:1507-1514. [PMID: 37947923 DOI: 10.1007/s10029-023-02913-w] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 08/03/2023] [Accepted: 10/08/2023] [Indexed: 11/12/2023]
Abstract
PURPOSE To investigate demographic, clinical, and behavioral risk factors for undergoing inguinal hernia repair within a large and ethnically diverse cohort. METHODS We conducted a retrospective case-control study from 2007 to 2020 on 302,532 US individuals from a large, integrated healthcare delivery system with electronic health records, who participated in a survey of determinants of health. Participants without diagnosis or procedure record of an inguinal hernia at enrollment were included. We then assessed whether demographic (age, sex, race/ethnicity), clinical, and behavioral factors (obesity status, alcohol use, cigarette smoking and physical activity) were predictors of undergoing inguinal hernia repair using survival analyses. Risk factors showing statistical significance (P < 0.05) in the univariate models were added to a multivariate model. RESULTS We identified 7314 patients who underwent inguinal hernia repair over the study period, with a higher incidence in men (6.31%) compared to women (0.53%). In a multivariate model, a higher incidence of inguinal hernia repair was associated with non-Hispanic white race/ethnicity, older age, male sex (aHR = 13.55 [95% confidence interval 12.70-14.50]), and more vigorous physical activity (aHR = 1.24 [0.045]), and alcohol drinker status (aHR = 1.05 [1.00-1.11]); while African-American (aHR = 0.69 [0.59-0.79]), Hispanic/Latino (aHR = 0.84 [0.75-0.91]), and Asian (aHR = 0.35 [0.31-0.39]) race/ethnicity, obesity (aHR = 0.33 [0.31-0.36]) and overweight (aHR = 0.71 [0.67-0.75]) were associated with a lower incidence. The use of cigarette was significantly associated with a higher incidence of inguinal hernia repair in women (aHR 1.23 [1.09-1.40]), but not in men (aHR 0.96 [0.91-1.02]). CONCLUSION Inguinal hernia repair is positively associated with non-Hispanic white race/ethnicity, older age, male sex, increased physical activity, alcohol consumption and tobacco use (only in women); while negatively associated with obesity and overweight status. Findings from this large and ethnically diverse study may support future prediction tools to identify patients at high risk of this surgery.
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Affiliation(s)
- B Cowan
- UCSF-East Bay General Surgery, Oakland, CA, USA
| | - M Kvale
- Institute for Human Genetics, University of California, San Francisco, San Francisco, CA, USA
- Division of Research, Kaiser Permanente Northern California (KPNC), Oakland, CA, USA
| | - J Yin
- Division of Research, Kaiser Permanente Northern California (KPNC), Oakland, CA, USA
| | - S Patel
- UCSF-East Bay General Surgery, Oakland, CA, USA
| | - E Jorgenson
- Regeneron Genetics Center, Tarrytown, NY, USA
| | - R Mostaedi
- KPNC, Richmond Medical Center, Richmond, CA, USA
| | - H Choquet
- Division of Research, Kaiser Permanente Northern California (KPNC), Oakland, CA, USA.
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Zhou Y, Tang L, Tong Y, Huang J, Wang J, Zhang Y, Jiang H, Xu N, Gong Y, Yin J, Jiang Q, Zhou J, Zhou Y. [Spatial distribution characteristics of the prevalence of advanced schistosomiasis and seroprevalence of anti- Schistosoma antibody in Hunan Province in 2020]. Zhongguo Xue Xi Chong Bing Fang Zhi Za Zhi 2023; 35:444-450. [PMID: 38148532 DOI: 10.16250/j.32.1374.2023103] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [MESH Headings] [Grants] [Subscribe] [Scholar Register] [Indexed: 12/28/2023]
Abstract
OBJECTIVE To investigate the spatial distribution characteristics of the prevalence of advanced schistosomiasis and seroprevalence of anti-Schistosoma antibody, and to examine the correlation between the prevalence of advanced schistosomiasis and seroprevalence of anti-Schistosoma antibody in Hunan Province in 2020, so as to provide insights into advanced schistosomiais control in the province. METHODS The epidemiological data of schistosomiasis in Hunan Province in 2020 were collected, including number of permanent residents in survey villages, number of advanced schistosomiasis patients, number of residents receiving serological tests and number of residents seropositive for anti-Schistosoma antibody, and the prevalence advanced schistosomiasis and seroprevalence of anti-Schistosoma antibody were descriptively analyzed. Village-based spatial distribution characteristics of prevalence advanced schistosomiasis and seroprevalence of anti-Schistosoma antibody were identified in Hunan Province in 2020, and the correlation between the revalence advanced schistosomiasis and seroprevalence of anti-Schistosoma antibody was examined using Spearman correlation analysis. RESULTS The prevalence of advanced schistosomiasis was 0 to 2.72% and the seroprevalence of anti-Schistosoma antibody was 0 to 20.25% in 1 153 schistosomiasis-endemic villages in Hunan Province in 2020. Spatial clusters were identified in both the prevalence of advanced schistosomiasis (global Moran's I = 0.416, P < 0.01) and the seroprevalence of anti-Schistosoma antibody (global Moran's I = 0.711, P < 0.01) in Hunan Province. Local spatial autocorrelation analysis identified 98 schistosomiasis-endemic villages with high-high clusters of the prevalence of advanced schistosomiasis, 134 endemic villages with high-high clusters of the seroprevalence of anti-Schistosoma antibody and 36 endemic villages with high-high clusters of both the prevalence of advanced schistosomiasis and seroprevalence of anti-Schistosoma antibody in Hunan Province. In addition, spearman correlation analysis showed a positive correlation between the prevalence of advanced schistosomiasis and seroprevalence of anti-Schistosoma antibody (rs = 0.235, P < 0.05). CONCLUSIONS There were spatial clusters of the prevalence of advanced schistosomiasis and seroprevalence of anti-Schistosoma antibody in Hunan Province in 2020, which were predominantly located in areas neighboring the Dongting Lake. These clusters should be given a high priority in the schistosomiasis control programs.
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Affiliation(s)
- Y Zhou
- Department of Epidemiology, School of Public Health, Fudan University, Key Laboratory of Public Health Safety, Ministry of Education, Tropical Disease Research Center, Fudan University, Shanghai 200032, China
| | - L Tang
- Hunan Institute of Schistosomiasis Control, Yueyang, Hunan 414000, China
| | - Y Tong
- Department of Epidemiology, School of Public Health, Fudan University, Key Laboratory of Public Health Safety, Ministry of Education, Tropical Disease Research Center, Fudan University, Shanghai 200032, China
| | - J Huang
- Department of Epidemiology, School of Public Health, Fudan University, Key Laboratory of Public Health Safety, Ministry of Education, Tropical Disease Research Center, Fudan University, Shanghai 200032, China
| | - J Wang
- Department of Epidemiology, School of Public Health, Fudan University, Key Laboratory of Public Health Safety, Ministry of Education, Tropical Disease Research Center, Fudan University, Shanghai 200032, China
| | - Y Zhang
- Department of Epidemiology, School of Public Health, Fudan University, Key Laboratory of Public Health Safety, Ministry of Education, Tropical Disease Research Center, Fudan University, Shanghai 200032, China
| | - H Jiang
- Department of Epidemiology, School of Public Health, Fudan University, Key Laboratory of Public Health Safety, Ministry of Education, Tropical Disease Research Center, Fudan University, Shanghai 200032, China
| | - N Xu
- Department of Epidemiology, School of Public Health, Fudan University, Key Laboratory of Public Health Safety, Ministry of Education, Tropical Disease Research Center, Fudan University, Shanghai 200032, China
| | - Y Gong
- Department of Epidemiology, School of Public Health, Fudan University, Key Laboratory of Public Health Safety, Ministry of Education, Tropical Disease Research Center, Fudan University, Shanghai 200032, China
| | - J Yin
- Department of Epidemiology, School of Public Health, Fudan University, Key Laboratory of Public Health Safety, Ministry of Education, Tropical Disease Research Center, Fudan University, Shanghai 200032, China
| | - Q Jiang
- Department of Epidemiology, School of Public Health, Fudan University, Key Laboratory of Public Health Safety, Ministry of Education, Tropical Disease Research Center, Fudan University, Shanghai 200032, China
| | - J Zhou
- Hunan Institute of Schistosomiasis Control, Yueyang, Hunan 414000, China
| | - Y Zhou
- Department of Epidemiology, School of Public Health, Fudan University, Key Laboratory of Public Health Safety, Ministry of Education, Tropical Disease Research Center, Fudan University, Shanghai 200032, China
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Wang S, Liu Y, Xiao H, Chen Z, Yang X, Yin J, Li Y, Yuan C, Yan S, Chen G, Gao Q, Kong B, Sun C, Song K. Inhibition of SF3B1 improves the immune microenvironment through pyroptosis and synergizes with αPDL1 in ovarian cancer. Cell Death Dis 2023; 14:775. [PMID: 38012150 PMCID: PMC10682409 DOI: 10.1038/s41419-023-06301-1] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 06/09/2023] [Revised: 11/04/2023] [Accepted: 11/13/2023] [Indexed: 11/29/2023]
Abstract
Ovarian cancer is resistant to immune checkpoint blockade (ICB) treatment. Combination of targeted therapy and immunotherapy is a promising strategy for ovarian cancer treatment benefit from an improved immune microenvironment. In this study, Clinical Proteomic Tumor Analysis Consortium (CPTAC) and The Cancer Genome Atlas (TCGA) cohorts were used to screen prognosis and cytotoxic lymphocyte infiltration-associated genes in upregulated genes of ovarian cancer, tissue microarrays were built for further verification. In vitro experiments and mouse (C57/BL6) ovarian tumor (ID8) models were built to evaluate the synergistic effect of the combination of SF3B1 inhibitor and PD-L1 antibody in the treatment of ovarian cancer. The results show that SF3B1 is shown to be overexpressed and related to low cytotoxic immune cell infiltration in ovarian cancer. Inhibition of SF3B1 induces pyroptosis in ovarian cancer cells and releases mitochondrial DNA (mtDNA), which is englobed by macrophages and subsequently activates them (polarization to M1). Moreover, pladienolide B increases cytotoxic immune cell infiltration in the ID8 mouse model as a SF3B1 inhibitor and increases the expression of PD-L1 which can enhance the antitumor effect of αPDL1 in ovarian cancer. The data suggests that inhibition of SF3B1 improves the immune microenvironment of ovarian cancer and synergizes ICB immunotherapy, which provides preclinical evidence for the combination of SF3B1 inhibitor and ICB to ovarian cancer treatment.
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Affiliation(s)
- Shourong Wang
- Department of Obstetrics and Gynecology, Qilu Hospital of Shandong University, Jinan, 250012, China
- Gynecologic Oncology Key Laboratory of Shandong Province, Qilu Hospital of Shandong University, Jinan, 250012, China
| | - Yao Liu
- Department of Obstetrics and Gynecology, Qilu Hospital of Shandong University, Jinan, 250012, China
- Gynecologic Oncology Key Laboratory of Shandong Province, Qilu Hospital of Shandong University, Jinan, 250012, China
| | - Huimin Xiao
- Department of Obstetrics and Gynecology, Qilu Hospital of Shandong University, Jinan, 250012, China
- Gynecologic Oncology Key Laboratory of Shandong Province, Qilu Hospital of Shandong University, Jinan, 250012, China
| | - Zhongshao Chen
- Department of Obstetrics and Gynecology, Qilu Hospital of Shandong University, Jinan, 250012, China
- Gynecologic Oncology Key Laboratory of Shandong Province, Qilu Hospital of Shandong University, Jinan, 250012, China
| | - Xiaohang Yang
- Department of Obstetrics and Gynecology, Tongji Hospital, Tongji Medical College, Huazhong University of Science and Technology, Wuhan, 430030, China
| | - Jingjing Yin
- Department of Obstetrics and Gynecology, Tongji Hospital, Tongji Medical College, Huazhong University of Science and Technology, Wuhan, 430030, China
| | - Yingwei Li
- Department of Obstetrics and Gynecology, Qilu Hospital of Shandong University, Jinan, 250012, China
- Gynecologic Oncology Key Laboratory of Shandong Province, Qilu Hospital of Shandong University, Jinan, 250012, China
| | - Cunzhong Yuan
- Department of Obstetrics and Gynecology, Qilu Hospital of Shandong University, Jinan, 250012, China
- Gynecologic Oncology Key Laboratory of Shandong Province, Qilu Hospital of Shandong University, Jinan, 250012, China
| | - Shi Yan
- Department of Obstetrics and Gynecology, Qilu Hospital of Shandong University, Jinan, 250012, China
- Gynecologic Oncology Key Laboratory of Shandong Province, Qilu Hospital of Shandong University, Jinan, 250012, China
| | - Gang Chen
- Department of Obstetrics and Gynecology, Tongji Hospital, Tongji Medical College, Huazhong University of Science and Technology, Wuhan, 430030, China
| | - Qinglei Gao
- Department of Obstetrics and Gynecology, Tongji Hospital, Tongji Medical College, Huazhong University of Science and Technology, Wuhan, 430030, China
| | - Beihua Kong
- Department of Obstetrics and Gynecology, Qilu Hospital of Shandong University, Jinan, 250012, China.
- Gynecologic Oncology Key Laboratory of Shandong Province, Qilu Hospital of Shandong University, Jinan, 250012, China.
| | - Chaoyang Sun
- Department of Obstetrics and Gynecology, Tongji Hospital, Tongji Medical College, Huazhong University of Science and Technology, Wuhan, 430030, China.
| | - Kun Song
- Department of Obstetrics and Gynecology, Qilu Hospital of Shandong University, Jinan, 250012, China.
- Gynecologic Oncology Key Laboratory of Shandong Province, Qilu Hospital of Shandong University, Jinan, 250012, China.
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Yin J, Hu T, Xu LJ, Zhang LP, Ye YL, Pang Z. [The mechanism by which hsa_circRNA_103124 highly expressed in peripheral blood of patients with active Crohn's disease regulates macrophage differentiation, pyroptosis and inflammation]. Zhonghua Yi Xue Za Zhi 2023; 103:3478-3486. [PMID: 37981775 DOI: 10.3760/cma.j.cn112137-20231007-00646] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [MESH Headings] [Grants] [Subscribe] [Scholar Register] [Indexed: 11/21/2023]
Abstract
Objective: To investigate the role and related mechanism of the highly expressed circular RNA molecule 103124 (hsa_circRNA_103124) in macrophage differentiation, pyroptosis and inflammation in peripheral blood mononuclear cells (PBMC) of patients with active Crohn's disease (CD). Methods: Patients with active CD (CD group) admitted to the Affiliated Suzhou Hospital of Nanjing Medical University from April to September 2018 and healthy people (control group) from the physical examination center of the hospital from July to October 2018 were retrospectively selected. The levels of hsa_circRNA_103124 and Toll-like receptor 4 (TLR4) in PBMC of the two groups were detected by real-time quantitative polymerase chain reaction (RT-qPCR). Tohoku hospital pediatrics-1 (THP1) cell line was used as a model for the study of hsa_circRNA_103124 regulating macrophage differentiation. Lentivirus infection was used to construct hsa_circRNA_103124 overexpressed or down-regulated THP1 cells to induce macrophage-like differentiation. According to the expression level of hsa_circRNA_103124, THP1 cell lines were divided into the following four groups: pLC5-ciR was overexpression control group; hsa_circRNA_103124 OE was the overexpression group; ShRNActrl was down-regulated expression control group; hsa_circRNA_103124 ShRNA was the down-regulated expression group. Flow cytometry was used to detect levels cluster of differentiation (CD) 68, CD80, interleukin (IL)-6, tumor necrosis factor α (TNF-α) and reactive oxygen species (ROS). The expression levels of IL-6, TNF-α, IL-1β, TLR4 and myeloid differentiation factor 88 (MyD88) were detected by RT-qPCR. The levels of gasdermin D (GSDMD), IL-18 and NOD-like receptor thermal protein domain associated protein 3 (NLRP3) were determined by immunofluorescence and RT-qPCR. Pearson correlation analysis was used to analyze the correlation between the abundance of hsa_circRNA_103124 and TLR4 expression level or Crohn's disease activity index (CDAI). Results: A total of 50 patients were included in the CD group, including 36 males and 14 females, aged (35±10) (19-64) years. A total of 30 subjects were included in the control group, including 22 males and 8 females, aged (38±9) (24-64) years. hsa_circRNA_103124 [(0.009±0.016) vs (0.003±0.002), P=0.042] and TLR4 [(0.005±0.003) vs (0.001±0.001), P<0.001] were all upregulated in the PBMC of patients in the CD group, compared with the control group. And hsa_circRNA_103124 was positively correlated with TLR4 (r=0.40, P=0.004). hsa_circRNA_103124 level was positively correlated with CDAI (r=0.32, P=0.024). The expression of CD68 (P=0.002) and CD80 (P<0.001) were enhanced. hsa_circRNA_103124 promoted production of ROS and the expression of IL-6, TNF-α, IL-1β, TLR4, MyD88, GSDMD, IL-18 and NLRP3 in macrophage-like M1 differentiated THP1 cells (all P<0.05). Conclusion: High expresion of hsa_circRNA_103124 in PBMC of patients with active CD may promote macrophage M1 differentiation, pyroptosis and inflammation through enhancing the expression of TLR4, MyD88, NLRP3 and GSDMD.
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Affiliation(s)
- J Yin
- Department of Gastroenterology, the Affiliated Suzhou Hospital of Nanjing Medical University (Suzhou Municipal Hospital), Gusu School, Nanjing Medical University, Suzhou, 215008, China
| | - T Hu
- Department of Gastroenterology, the Affiliated Suzhou Hospital of Nanjing Medical University (Suzhou Municipal Hospital), Gusu School, Nanjing Medical University, Suzhou, 215008, China
| | - L J Xu
- Department of Gastroenterology, the Affiliated Suzhou Hospital of Nanjing Medical University (Suzhou Municipal Hospital), Gusu School, Nanjing Medical University, Suzhou, 215008, China
| | - L P Zhang
- Department of Gastroenterology, the Affiliated Suzhou Hospital of Nanjing Medical University (Suzhou Municipal Hospital), Gusu School, Nanjing Medical University, Suzhou, 215008, China
| | - Y L Ye
- Department of Gastroenterology, the Affiliated Suzhou Hospital of Nanjing Medical University (Suzhou Municipal Hospital), Gusu School, Nanjing Medical University, Suzhou, 215008, China
| | - Z Pang
- Department of Gastroenterology, the Affiliated Suzhou Hospital of Nanjing Medical University (Suzhou Municipal Hospital), Gusu School, Nanjing Medical University, Suzhou, 215008, China
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Li X, Zhang J, Shangguan X, Yin J, Zhu L, Hu J, Du B, Lv W. Knockout of OsWRKY71 impairs Bph15-mediated resistance against brown planthopper in rice. Front Plant Sci 2023; 14:1260526. [PMID: 38023936 PMCID: PMC10652391 DOI: 10.3389/fpls.2023.1260526] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [Track Full Text] [Figures] [Subscribe] [Scholar Register] [Received: 07/18/2023] [Accepted: 10/09/2023] [Indexed: 12/01/2023]
Abstract
The Bph15 gene, known for its ability to confer resistance to the brown planthopper (BPH; Nilaparvata lugens Stål), has been extensively employed in rice breeding. However, the molecular mechanism by which Bph15 provides resistance against BPH in rice remains poorly understood. In this study, we reported that the transcription factor OsWRKY71 was highly responsive to BPH infestation and exhibited early-induced expression in Bph15-NIL (near-isogenic line) plants, and OsWRKY71 was localized in the nucleus of rice protoplasts. The knockout of OsWRKY71 in the Bph15-NIL background by CRISPR-Cas9 technology resulted in an impaired Bph15-mediated resistance against BPH. Transcriptome analysis revealed that the transcript profiles responsive to BPH differed between the wrky71 mutant and Bph15-NIL, and the knockout of OsWRKY71 altered the expression of defense genes. Subsequent quantitative RT-PCR analysis identified three genes, namely sesquiterpene synthase OsSTPS2, EXO70 family gene OsEXO70J1, and disease resistance gene RGA2, which might participate in BPH resistance conferred by OsWRKY71 in Bph15-NIL plants. Our investigation demonstrated the pivotal involvement of OsWRKY71 in Bph15-mediated resistance and provided new insights into the rice defense mechanisms against BPH.
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Affiliation(s)
- Xiaozun Li
- Shandong Academy of Agricultural Sciences, Jinan, China
| | - Jian Zhang
- Shandong Academy of Agricultural Sciences, Jinan, China
| | - Xinxin Shangguan
- State Key Laboratory of Hybrid Rice, College of Life Sciences, Wuhan University, Wuhan, China
- Key Laboratory of Plant Genetics and Molecular Breeding, Zhoukou Normal University, Zhoukou, China
| | - Jingjing Yin
- Shandong Academy of Agricultural Sciences, Jinan, China
| | - Lili Zhu
- State Key Laboratory of Hybrid Rice, College of Life Sciences, Wuhan University, Wuhan, China
| | - Jie Hu
- State Key Laboratory of Ecological Pest Control for Fujian and Taiwan Crops, Fujian Agriculture and Forestry University, Fuzhou, China
| | - Bo Du
- State Key Laboratory of Hybrid Rice, College of Life Sciences, Wuhan University, Wuhan, China
| | - Wentang Lv
- Shandong Academy of Agricultural Sciences, Jinan, China
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Yin J, Ren W, Fry EL, Sun S, Han H, Guo F. DNA methylation mediates overgrazing-induced clonal transgenerational plasticity. Sci Total Environ 2023; 897:165338. [PMID: 37414175 DOI: 10.1016/j.scitotenv.2023.165338] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Subscribe] [Scholar Register] [Received: 04/23/2023] [Revised: 06/22/2023] [Accepted: 07/03/2023] [Indexed: 07/08/2023]
Abstract
Overgrazing generally induces dwarfism in grassland plants, and these phenotypic traits could be transmitted to clonal offspring even when overgrazing is excluded. However, the dwarfism-transmitted mechanism remains largely unknown, despite generally thought to be enabled by epigenetic modification. To clarify the potential role of DNA methylation on clonal transgenerational effects, we conducted a greenhouse experiment with Leymus chinensis clonal offspring from different cattle/sheep overgrazing histories via the demethylating agent 5-azacytidine. The results showed that clonal offspring from overgrazed (by cattle or sheep) parents were dwarfed and the auxin content of leaves significantly decreased compared to offspring from no-grazed parents'. The 5-azaC application generally increased the auxin content and promoted the growth of overgrazed offspring while inhibited no-grazed offspring growth. Meanwhile, there were similar trends in the expression level of genes related to auxin-responsive target genes (ARF7, ARF19), and signal transduction gene (AZF2). These results suggest that DNA methylation leads to overgrazing-induced plant transgenerational dwarfism via inhibiting auxin signal pathway.
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Affiliation(s)
- Jingjing Yin
- School of Ecology and Environment, Inner Mongolia University, Hohhot, China
| | - Weibo Ren
- School of Ecology and Environment, Inner Mongolia University, Hohhot, China; Key Laboratory of Forage Breeding and Seed Production of Inner Mongolia, Inner Mongolia M-Grass Ecology and Environment (Group) Co., Ltd., Hohhot 010016, China.
| | - Ellen L Fry
- Department of Biology, Edge Hill University, Ormskirk, Lancashire L39 4QP, UK
| | - Siyuan Sun
- School of Ecology and Environment, Inner Mongolia University, Hohhot, China
| | - Huijie Han
- School of Ecology and Environment, Inner Mongolia University, Hohhot, China
| | - Fenghui Guo
- Industrial Crop Institute, Shanxi Agricultural University, Taiyuan, China
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22
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Huang XM, Zhang K, Yin J, Wu PF, Cai BB, Lu ZP, Tu M, Chen JM, Guo F, Xi CH, Wei JS, Wu JL, Gao WT, Dai CC, Miao Y, Jiang KR. [Distal pancreatectomy with celiac axis resection for pancreatic body cancer: a single center review of 89 consecutive cases]. Zhonghua Wai Ke Za Zhi 2023; 61:894-900. [PMID: 37653992 DOI: 10.3760/cma.j.cn112139-20230327-00123] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [MESH Headings] [Subscribe] [Scholar Register] [Indexed: 09/02/2023]
Abstract
Objective: To investigate the clinical efficacy of distal pancreatectomy with celiac axis resection(DP-CAR). Methods: A total of 89 consecutive patients (50 males and 39 females) who were diagnosed with pancreatic body cancer and underwent DP-CAR in Pancreas Center,First Affiliated Hospital of Nanjing Medical University between September 2013 and June 2022 were retrospectively reviewed. There were 50 males and 39 females,with age(M(IQR)) of 63(12) years(range:43 to 81 years). Perioperative parameters,pathology results and follow-up data of these patients were analyzed,χ2 or Fisher's test for categorical data while the Wilcoxon test for quantitative data. Survival results were estimated by the Kaplan-Meier survival method. Results: Among 89 cases,cases combined with portal vein-superior mesenteric vein or organ resection accounted for 22.5% (20/89) and 42.7% (38/89),respectively. The operative time,blood loss and postoperative hospital stay were 270 (110) minutes,300 (300) ml and 13 (10) days,respectively. The overall morbidity rate was 67.4% (60/89) while the major morbidity was 11.2% (10/89). The increase rate in transient liver enzymes was 42.7% (38/89),3.4% (3/89) for liver failure,53.9% (48/89) for clinically relevant postoperative pancreatic fistula,1.1% (1/89) for bile leak,3.4% (3/89) for chylous leak of grade B and C,11.2% (10/89) for abdominal infection,9.0% (8/89) for postoperative hemorrhage of grade B and C,4.5% (4/89) for delayed gastric emptying,6.7% (6/89) for deep vein thrombosis,3.4% (3/89) for reoperation,4.5% (4/89)for hospital mortality,7.9% (7/89) for 90-day mortality. The pathological type was pancreatic cancer for all 89 cases and pancreatic ductal adenocarcinoma made up 92.1% (82/89). The tumor size was 4.8(2.0) cm, ranging from 1.5 to 12.0 cm. The number of lymph nodes harvested was 14 (13)(range:2 to 33),with a positive lymph node rate of 13.0% (24.0%). The resection R0 rate was 30.0% (24/80) and the R1 (<1 mm) rate was 58.8% (47/80). The median overall survival time was 21.3 months (95%CI: 15.6 to 24.3) and the median disease-free survival time was 19.1 months (95%CI: 11.7 to 25.1). The overall survival at 1-year and 2-year were 69.60% and 39.52%. The median survival time of 58 patients with adjuvant chemotherapy was 24.3 months (95%CI: 17.8 to 32.3) while that of 13 patients without any kind of adjuvant therapy was 8.4 months (95%CI: 7.3 to 22.3). Seven patients accepted neoadjuvant chemotherapy and there was no significant morbidity among them,with a resection rate of R0 of 5/7. Conclusion: DP-CAR is safe and feasible for selective cases,which could be more valuable in improving long-term survival when combined with (neo) adjuvant therapy.
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Affiliation(s)
- X M Huang
- Pancreas Center,First Affiliated Hospital of Nanjing Medical University,Pancreas Institute,Nanjing Medical University,Nanjing 210029,China
| | - K Zhang
- Pancreas Center,First Affiliated Hospital of Nanjing Medical University,Pancreas Institute,Nanjing Medical University,Nanjing 210029,China
| | - J Yin
- Pancreas Center,First Affiliated Hospital of Nanjing Medical University,Pancreas Institute,Nanjing Medical University,Nanjing 210029,China
| | - P F Wu
- Pancreas Center,First Affiliated Hospital of Nanjing Medical University,Pancreas Institute,Nanjing Medical University,Nanjing 210029,China
| | - B B Cai
- Pancreas Center,First Affiliated Hospital of Nanjing Medical University,Pancreas Institute,Nanjing Medical University,Nanjing 210029,China
| | - Z P Lu
- Pancreas Center,First Affiliated Hospital of Nanjing Medical University,Pancreas Institute,Nanjing Medical University,Nanjing 210029,China
| | - M Tu
- Pancreas Center,First Affiliated Hospital of Nanjing Medical University,Pancreas Institute,Nanjing Medical University,Nanjing 210029,China
| | - J M Chen
- Pancreas Center,First Affiliated Hospital of Nanjing Medical University,Pancreas Institute,Nanjing Medical University,Nanjing 210029,China
| | - F Guo
- Pancreas Center,First Affiliated Hospital of Nanjing Medical University,Pancreas Institute,Nanjing Medical University,Nanjing 210029,China
| | - C H Xi
- Pancreas Center,First Affiliated Hospital of Nanjing Medical University,Pancreas Institute,Nanjing Medical University,Nanjing 210029,China
| | - J S Wei
- Pancreas Center,First Affiliated Hospital of Nanjing Medical University,Pancreas Institute,Nanjing Medical University,Nanjing 210029,China
| | - J L Wu
- Pancreas Center,First Affiliated Hospital of Nanjing Medical University,Pancreas Institute,Nanjing Medical University,Nanjing 210029,China
| | - W T Gao
- Pancreas Center,First Affiliated Hospital of Nanjing Medical University,Pancreas Institute,Nanjing Medical University,Nanjing 210029,China
| | - C C Dai
- Pancreas Center,First Affiliated Hospital of Nanjing Medical University,Pancreas Institute,Nanjing Medical University,Nanjing 210029,China
| | - Y Miao
- Pancreas Center,First Affiliated Hospital of Nanjing Medical University,Pancreas Institute,Nanjing Medical University,Nanjing 210029,China
| | - K R Jiang
- Pancreas Center,First Affiliated Hospital of Nanjing Medical University,Pancreas Institute,Nanjing Medical University,Nanjing 210029,China
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Yuan K, Liao X, Yao X, Liu M, Xu P, Yin J, Li C, Orlandini LC. Study on Lattice Radiotherapy Treatments (LRT) for Head and Neck Bulky Tumors. Int J Radiat Oncol Biol Phys 2023; 117:e596-e597. [PMID: 37785800 DOI: 10.1016/j.ijrobp.2023.06.1954] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 10/04/2023]
Abstract
PURPOSE/OBJECTIVE(S) Lattice radiotherapy (LRT) exploits various effects of radiation, such as the bystander effect and the abscopal effect, and consists on the administration of high dose fraction in small areas with large tumor masses, helping to solve the problem of treating bulky disease, especially if it is located in a critical anatomical area. The optimization of LRT treatment plans is challenging due to the difficulty to generate spots of high dose within the tumor with consequent high gradient. This study compares the plan dosimetry and delivery time of two delivery techniques VMAT and CyberKnife for LRT treatments of bulky head and neck lesions. MATERIALS/METHODS Six patients with giant head and neck tumors who received LRT at our institution were included in this study. Target and OARs were contoured following international guidelines; to allow easy identification of the desired high gradient zones, an artificial geometrical lattice structure with spherical vertices was arranged inside the target volume (GTV), and the vertices of the lattice representing the high dose boost volumes (GTVboost) were delineated. The GTVboost and GTV were prescribed to receive 12 Gy and 3 Gy, respectively in a single fraction. Separate VMAT and CyberKnife LRT plans were optimized for each patient with lattice vertex of 0.5 diameter and center-to-center distances of 1.5 cm (LRT1.5) and 3 cm (LRT3). The dose heterogeneity was measured as the peak-to-valley dose ratio (PVDR), with the traditional definition being replaced by the D10/D90 ratio, where D10 and D90 represent the doses covering 10% and 90% of the GTV, respectively. For each plan generated, the treatment delivery time, the monitor units (MU), and the PVDR were assessed. Pre-treatment plan verifications were performed with ArcCheck array and Gafchromics film for VMAT and CyberKnife, respectively, using gamma analysis criteria of 3%-3mm. RESULTS The mean PVDR obtained for VMAT LRT plans were 2.0 and 2.6 for LRT1.5 and LRT3, respectively, and 3.2 and 4.7, respectively for CyberKnife LRT plans. For each pre-treatment plan dose verification, the gamma passing rate (GPR) was higher than 95.0 %; CyberKnife delivery time and MU were more than 10 times higher than that of VMAT, nevertheless, VMAT had a lower PVDR. The detailed results are shown in the table below. CONCLUSION CyberKnife LRT has a strong ability to place the peak dose within the target, generating a higher peak-to-valley dose ratio, however its use is partially invalidated by the long beam delivery times and the resulting high MU number; the use of the VMAT LRT technique allows clinically adequate dosimetry with acceptable delivery times.
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Affiliation(s)
- K Yuan
- Sichuan Cancer Hospital & Institute, University of Electronic Science and Technology of China, Chengdu, China
| | - X Liao
- Sichuan Cancer Hospital & Institute, University of Electronic Science and Technology of China, Chengdu, China
| | - X Yao
- Sichuan Cancer Hospital & Institute, University of Electronic Science and Technology of China, Chengdu, China
| | - M Liu
- Sichuan Cancer Hospital & Institute, University of Electronic Science and Technology of China, Chengdu, China
| | - P Xu
- Sichuan Cancer Hospital & Institute, University of Electronic Science and Technology of China, Chengdu, China
| | - J Yin
- Sichuan Cancer Hospital & Institute, University of Electronic Science and Technology of China, Chengdu, China
| | - C Li
- Sichuan Cancer Hospital & Institute, University of Electronic Science and Technology of China, Chengdu, China
| | - L C Orlandini
- Sichuan Cancer Hospital & Institute, University of Electronic Science and Technology of China, Chengdu, China
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Zou P, Lin R, Fang Z, Chen J, Guan H, Yin J, Xue X, Chen M, Lang J. A Ferroptosis Microneedle Integrated Wireless Implanted Photodynamic Therapy Pellet for Cancer Treatment. Int J Radiat Oncol Biol Phys 2023; 117:e280. [PMID: 37785049 DOI: 10.1016/j.ijrobp.2023.06.1261] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 10/04/2023]
Abstract
PURPOSE/OBJECTIVE(S) Effective, non-toxic, and targeted induction of lung cancer cell death is urgently needed. The goal of this research is to create a new implantable battery-free therapeutic pellet with integrated drug microneedles that allows for wireless photodynamic therapy (PDT) and targeted release of a ferroptosis inducer (Imidazole ketone erastin, IKE) into tumor tissue. MATERIALS/METHODS A wireless power unit, μ-LED illuminant, a flexible control circuit, and an IKE-stored biodegradable microneedle enclosed in polydimethylsiloxane (PDMS) were all built into an integrated therapeutic pellet. Lung cancer cells were used to illustrate the in vitro viability and molecular biological processes of this system. Therapeutic pellet implanted into the LLC xenograft C57BL/6 model. PDT was conducted by 660 nm laser irradiation after injecting a photosensitizer (Chlorin e6, Ce6) and targeted IKE released into the tumor. Systematically analyzing the therapeutic effects on lung cancer and toxic side-effects. RESULTS The PDT-IKE group reduced cellular viability by 90% compared to the control group at the cellular level. In mouse model studies, the PDT-IKE group suppressed tumors at 78.8%, three or four times greater than the PDT (26.6%) or IKE (19.2%) group alone. The PDT-IKE group also controlled IKE release more precisely with heated electrodes, reducing nephrotoxicity and improving safety. Moreover, the combination of PDT and IKE can effectively cause ferroptosis in tumor cells, both in vivo and in vitro. CONCLUSION A new implantable battery-free therapeutic pellet was designed for wireless PDT with integrated IKE microneedles to induce obvious ferroptosis in lung cancer. The proposed pellet would provide a promising strategy for cancer treatment.
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Affiliation(s)
- P Zou
- School of Medicine, University of Electronic Science and Technology of China, Chengdu, Sichuan, China; Department of Radiation Oncology, Sichuan Cancer Hospital & Institute, Sichuan Cancer Center University of Electronic Science and Technology of China affiliated Cancer Hospital Radiation Oncology Key Laboratory of Sichuan Province, Chengdu, Sichuan, China
| | - R Lin
- School of Physics, University of Electronic Science and Technology of China, Chengdu, Sichuan, China
| | - Z Fang
- School of Medicine, University of Electronic Science and Technology of China, Chengdu, Sichuan, China; Department of Radiation Oncology, Sichuan Cancer Hospital & Institute, Sichuan Cancer Center University of Electronic Science and Technology of China affiliated Cancer Hospital Radiation Oncology Key Laboratory of Sichuan Province, Chengdu, Sichuan, China
| | - J Chen
- Department of Radiation Oncology, Sichuan Cancer Hospital & Institute, Sichuan Cancer Center University of Electronic Science and Technology of China affiliated Cancer Hospital Radiation Oncology Key Laboratory of Sichuan Province, Chengdu, Sichuan, China; Chengdu University of Traditional Chinese Medicine, Chengdu, Sichuan, China
| | - H Guan
- School of Physics, University of Electronic Science and Technology of China, Chengdu, Sichuan, China
| | - J Yin
- School of Medicine, University of Electronic Science and Technology of China, Chengdu, Sichuan, China; Department of Radiation Oncology, Sichuan Cancer Hospital & Institute, Sichuan Cancer Center University of Electronic Science and Technology of China affiliated Cancer Hospital Radiation Oncology Key Laboratory of Sichuan Province, Chengdu, Sichuan, China
| | - X Xue
- Department of Radiation Oncology, Sichuan Cancer Hospital & Institute, Sichuan Cancer Center University of Electronic Science and Technology of China affiliated Cancer Hospital Radiation Oncology Key Laboratory of Sichuan Province, Chengdu, Sichuan, China; School of Physics, University of Electronic Science and Technology of China, Chengdu, Sichuan, China
| | - M Chen
- School of Medicine, University of Electronic Science and Technology of China, Chengdu, Sichuan, China; Department of Radiation Oncology, Sichuan Cancer Hospital & Institute, Sichuan Cancer Center University of Electronic Science and Technology of China affiliated Cancer Hospital Radiation Oncology Key Laboratory of Sichuan Province, Chengdu, Sichuan, China
| | - J Lang
- Department of Radiation Oncology, Sichuan Cancer Hospital & Institute, Sichuan Cancer Center University of Electronic Science and Technology of China affiliated Cancer Hospital Radiation Oncology Key Laboratory of Sichuan Province, Chengdu, Sichuan, China; Department of Radiation Oncology, Sichuan Cancer Hospital & Institute, Sichuan Cancer Center, University of Electronic Science and Technology of China, Chengdu, China
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Zhuang X, Xiao R, Fu Y, Yang B, Fan J, Lu F, Qin T, Yang X, Hu X, Yin J, Li W, Kang X, Chen G, Hu D, Sun C. MRE11:p.K464R mutation mediates olaparib resistance by enhancing DNA damage repair in HGSOC. Cell Biosci 2023; 13:178. [PMID: 37759323 PMCID: PMC10537967 DOI: 10.1186/s13578-023-01117-0] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 03/30/2023] [Accepted: 08/28/2023] [Indexed: 09/29/2023] Open
Abstract
BACKGROUND Although the clinical application of PARP inhibitors has brought hope to ovarian cancer, the problem of its resistance has become increasingly prominent. Therefore, clinical experts have been focused on finding specific indicators and therapeutic targets that can be used for resistance monitoring of PARP inhibitors. RESULTS By cfDNA detecting during Olaparib maintenance therapy in platinum-sensitive relapsed ovarian cancer, we found the presence of MRE11:p.K464R mutation was strongly associated with acquired Olaparib resistance. Structural analysis revealed that the MRE11:p.K464R mutation is situated at a critical site where the MRE11 protein interacts with other biomolecules, leading to potential structural and functional abnormalities of MRE11 protein. Functionally, MRE11:p.K464R mutation enhanced the tolerance of Olaparib by reducing the DNA damage. Mechanistically, MRE11:p.K464R mutation improved the efficiency of DNA damage repair and induce Olaparib resistance by enhancing its binding activity with the interacting proteins (including RAD50 and RPS3). Among them, the enhanced binding of MRE11:p.K464R mutation to RAD50/RPS3 facilitated non-homologous end joining (NHEJ) repair in tumor cells, thereby expanding the scope of research into acquired resistance to PARP inhibitors. CONCLUSIONS Our findings provide a theoretical basis for MRE11:p.K464R mutation as a specific indicator of resistance monitoring in Olaparib treatment, and the exploration of its resistance mechanism provides a novel insights for the formulation of combination ther therapies after Olaparib resistance.
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Affiliation(s)
- Xucui Zhuang
- Department of Gynecological Oncology, Tongji Hospital, Tongji Medical College, Huazhong University of Science and Technology, Wuhan, China
- National Clinical Research Center for Obstetrics and Gynecology, Cancer Biology Research Center (Key Laboratory of the Ministry of Education), Tongji Hospital, Tongji Medical College, Huazhong University of Science and Technology, Wuhan, China
| | - Rourou Xiao
- Department of Gynecological Oncology, Tongji Hospital, Tongji Medical College, Huazhong University of Science and Technology, Wuhan, China
- National Clinical Research Center for Obstetrics and Gynecology, Cancer Biology Research Center (Key Laboratory of the Ministry of Education), Tongji Hospital, Tongji Medical College, Huazhong University of Science and Technology, Wuhan, China
| | - Yu Fu
- Department of Gynecological Oncology, Tongji Hospital, Tongji Medical College, Huazhong University of Science and Technology, Wuhan, China
- National Clinical Research Center for Obstetrics and Gynecology, Cancer Biology Research Center (Key Laboratory of the Ministry of Education), Tongji Hospital, Tongji Medical College, Huazhong University of Science and Technology, Wuhan, China
| | - Bin Yang
- Department of Gynecological Oncology, Tongji Hospital, Tongji Medical College, Huazhong University of Science and Technology, Wuhan, China
- National Clinical Research Center for Obstetrics and Gynecology, Cancer Biology Research Center (Key Laboratory of the Ministry of Education), Tongji Hospital, Tongji Medical College, Huazhong University of Science and Technology, Wuhan, China
| | - Junpeng Fan
- Department of Gynecological Oncology, Tongji Hospital, Tongji Medical College, Huazhong University of Science and Technology, Wuhan, China
- National Clinical Research Center for Obstetrics and Gynecology, Cancer Biology Research Center (Key Laboratory of the Ministry of Education), Tongji Hospital, Tongji Medical College, Huazhong University of Science and Technology, Wuhan, China
| | - Funian Lu
- Department of Gynecological Oncology, Tongji Hospital, Tongji Medical College, Huazhong University of Science and Technology, Wuhan, China
- National Clinical Research Center for Obstetrics and Gynecology, Cancer Biology Research Center (Key Laboratory of the Ministry of Education), Tongji Hospital, Tongji Medical College, Huazhong University of Science and Technology, Wuhan, China
| | - Tianyu Qin
- Department of Gynecological Oncology, Tongji Hospital, Tongji Medical College, Huazhong University of Science and Technology, Wuhan, China
- National Clinical Research Center for Obstetrics and Gynecology, Cancer Biology Research Center (Key Laboratory of the Ministry of Education), Tongji Hospital, Tongji Medical College, Huazhong University of Science and Technology, Wuhan, China
| | - Xiaohang Yang
- Department of Gynecological Oncology, Tongji Hospital, Tongji Medical College, Huazhong University of Science and Technology, Wuhan, China
- National Clinical Research Center for Obstetrics and Gynecology, Cancer Biology Research Center (Key Laboratory of the Ministry of Education), Tongji Hospital, Tongji Medical College, Huazhong University of Science and Technology, Wuhan, China
| | - Xingyuan Hu
- Department of Gynecological Oncology, Tongji Hospital, Tongji Medical College, Huazhong University of Science and Technology, Wuhan, China
- National Clinical Research Center for Obstetrics and Gynecology, Cancer Biology Research Center (Key Laboratory of the Ministry of Education), Tongji Hospital, Tongji Medical College, Huazhong University of Science and Technology, Wuhan, China
| | - Jingjing Yin
- Department of Gynecological Oncology, Tongji Hospital, Tongji Medical College, Huazhong University of Science and Technology, Wuhan, China
- National Clinical Research Center for Obstetrics and Gynecology, Cancer Biology Research Center (Key Laboratory of the Ministry of Education), Tongji Hospital, Tongji Medical College, Huazhong University of Science and Technology, Wuhan, China
| | - Wenting Li
- Department of Gynecological Oncology, Tongji Hospital, Tongji Medical College, Huazhong University of Science and Technology, Wuhan, China
- National Clinical Research Center for Obstetrics and Gynecology, Cancer Biology Research Center (Key Laboratory of the Ministry of Education), Tongji Hospital, Tongji Medical College, Huazhong University of Science and Technology, Wuhan, China
| | - Xiaoyan Kang
- Department of Gynecological Oncology, Tongji Hospital, Tongji Medical College, Huazhong University of Science and Technology, Wuhan, China
- National Clinical Research Center for Obstetrics and Gynecology, Cancer Biology Research Center (Key Laboratory of the Ministry of Education), Tongji Hospital, Tongji Medical College, Huazhong University of Science and Technology, Wuhan, China
| | - Gang Chen
- Department of Gynecological Oncology, Tongji Hospital, Tongji Medical College, Huazhong University of Science and Technology, Wuhan, China
- National Clinical Research Center for Obstetrics and Gynecology, Cancer Biology Research Center (Key Laboratory of the Ministry of Education), Tongji Hospital, Tongji Medical College, Huazhong University of Science and Technology, Wuhan, China
| | - Dianxing Hu
- Department of Gynecological Oncology, Tongji Hospital, Tongji Medical College, Huazhong University of Science and Technology, Wuhan, China.
- National Clinical Research Center for Obstetrics and Gynecology, Cancer Biology Research Center (Key Laboratory of the Ministry of Education), Tongji Hospital, Tongji Medical College, Huazhong University of Science and Technology, Wuhan, China.
| | - Chaoyang Sun
- Department of Gynecological Oncology, Tongji Hospital, Tongji Medical College, Huazhong University of Science and Technology, Wuhan, China.
- National Clinical Research Center for Obstetrics and Gynecology, Cancer Biology Research Center (Key Laboratory of the Ministry of Education), Tongji Hospital, Tongji Medical College, Huazhong University of Science and Technology, Wuhan, China.
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Hua W, Yin J, Zhang M, Huang HQ, Chen RC, Ying SM, Chen X, Liu HM, Shang YX, Nong GM, Zhang M, Huang KW, Lai KF, Liu HG, Shen KL, Shen HH. [Investigation on cognition, diagnosis and treatment status of chest tightness variant asthma among Chinese pediatricians]. Zhonghua Yi Xue Za Zhi 2023; 103:2727-2732. [PMID: 37475567 DOI: 10.3760/cma.j.cn112137-20230602-00918] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [MESH Headings] [Grants] [Subscribe] [Scholar Register] [Indexed: 07/22/2023]
Abstract
Objective: To evaluate the awareness, diagnosis and treatment of chest tightness variant asthma (CTVA) among pediatricians in China. Methods: The survey was conducted by convenient sampling method. Pediatricians with professional title of attending physician and above from different grades hospitals in 30 provinces were invited to conduct online questionnaire surveys through WeChat, pediatricians scan QR codes to complete electronic questionnaires in the mini program from January 16th to February 4th, 2021. The contents of questionnaire included the awareness, diagnosis and treatment of CTVA, and comparing the differences between pediatricians in secondary hospitals and tertiary hospitals. Results: A total of 1 529 pediatricians participated in the survey, and 1 484 (97.06%) pediatricians completed the questionnaire and included in the analysis, including 420 males (28.30%). The awareness rate of CTVA among pediatricians was 77.83 % (1 155/1 484). Pediatricians in tertiary hospitals had higher rates of awareness of CTVA than pediatricians in secondary hospitals [81.86% (898/1 097) vs 66.41% (257/387), P<0.001] and had better execution of the guidelines [89.15% (978/1 097) vs 79.59% (308/387), P<0.001]. A total of 93.06 % (1 381/1 484) of pediatricians' first-line treatment included inhaled corticosteroids (ICS) for CTVA. Among them, a higher proportion of pediatricians in tertiary hospitals used ICS included regimens for first-line treatment of CTVA compared with pediatricians in secondary hospitals [94.90% (1 041/1 097) vs 87.86% (340/387), P<0.001]. The reported well control rate of CTVA was 32.08% (476/1 484), which was significantly lower in secondary hospitals than that in tertiary hospitals [17.31% (67/387) vs 37.28% (409/1 097), P<0.001]. Conclusion: Most pediatricians are well aware of CTVA, among which there is a certain gap in clinical practice between pediatricians in secondary hospitals and tertiary hospitals in terms of understanding, diagnosis, and treatment of CTVA.
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Affiliation(s)
- W Hua
- Key Laboratory of Respiratory Disease of Zhejiang Province, Department of Respiratory and Critical Care Medicine, Second Affiliated Hospital of Zhejiang University School of Medicine, Hangzhou 310009, China
| | - J Yin
- Department 1 of Respiratory, Beijing Children's Hospital, Capital Medical University, China National Clinical Research Center of Respiratory Diseases, National Center for Children's Health, Beijing 100045, China
| | - M Zhang
- Key Laboratory of Respiratory Disease of Zhejiang Province, Department of Respiratory and Critical Care Medicine, Second Affiliated Hospital of Zhejiang University School of Medicine, Hangzhou 310009, China
| | - H Q Huang
- Key Laboratory of Respiratory Disease of Zhejiang Province, Department of Respiratory and Critical Care Medicine, Second Affiliated Hospital of Zhejiang University School of Medicine, Hangzhou 310009, China
| | - R C Chen
- Department of Respiratory and Critical Care Medicine, the First Affiliated Hospital of Guangzhou Medical University, National Respiratory Medicine Center, Guangzhou Institute of Respiratory Health, State Key Laboratory of Respiratory Disease, Guangzhou 510120, China
| | - S M Ying
- Institute of Respiratory Diseases, Zhejiang University, Hangzhou 310009, China
| | - X Chen
- Department of Pediatric Respiratory, the Affiliated Provincial Hospital of Shandong First Medical University, Jinan 250021, China
| | - H M Liu
- Department of Pediatric Pulmonology and Immunology, West China Second University Hospital, Sichuan University, Chengdu 610041, China
| | - Y X Shang
- Department of Pediatric Respiratory, Shengjing Hospital Affiliated to China Medical University, Shenyang 110004, China
| | - G M Nong
- Department of Pediatrics, the First Affiliated Hospital of Guangxi Medical University, Nanning 530021, China
| | - M Zhang
- Department of Respiratory and Critical Care Medicine, Shanghai General Hospital, Shanghai Jiao Tong University School of Medicine, Shanghai 200080, China
| | - K W Huang
- Department of Respiratory and Critical Care Medicine, Beijing Chao-Yang Hospital, Capital Medical University, Beijing 100020, China
| | - K F Lai
- Department of Respiratory and Critical Care Medicine, the First Affiliated Hospital of Guangzhou Medical University, National Respiratory Medicine Center, Guangzhou Institute of Respiratory Health, State Key Laboratory of Respiratory Disease, Guangzhou 510120, China
| | - H G Liu
- Department of Respiratory and Critical Care Medicine, Tongji Hospital, Tongji Medical College, Huazhong University of Science and Technology, Wuhan 430000, China
| | - K L Shen
- Department 1 of Respiratory, Beijing Children's Hospital, Capital Medical University, China National Clinical Research Center of Respiratory Diseases, National Center for Children's Health, Beijing 100045, China Department of Respiratory Diseases, Shenzhen Children's Hospital, Shenzhen 518038, China
| | - H H Shen
- Key Laboratory of Respiratory Disease of Zhejiang Province, Department of Respiratory and Critical Care Medicine, Second Affiliated Hospital of Zhejiang University School of Medicine, Hangzhou 310009, China
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27
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Liu S, Guan K, Yin J. [Research progress on pollen food allergy syndrome]. Zhonghua Yu Fang Yi Xue Za Zhi 2023; 57:1336-1341. [PMID: 37743292 DOI: 10.3760/cma.j.cn112150-20230705-00511] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [MESH Headings] [Grants] [Subscribe] [Scholar Register] [Indexed: 09/26/2023]
Abstract
Pollen food allergy syndrome (PFAS) is an IgE-mediated allergic reaction that occurs when some pollinosis patients ingest certain plant-derived food that contains cross-reactive allergenic components. PFAS is prevalent in both children and adult pollinosis patients. In most cases, PFAS symptoms are confined to the oropharynx and occur within several minutes after oral contact with food. Therefore, PFAS has been also referred as oral allergy syndrome (OAS). A small proportion of PFAS patients would experience systemic symptoms or anaphylaxis. Currently, the diagnosis of PFAS is mainly based on clinical history and allergic tests [skin prick tests and(or) serum specific IgE tests]. Oral provocation tests are used to verify atypical patients. Component-resolved diagnosis is essential for further precise diagnosis and treatment. Management options for PFAS include lifestyle adjustment, symptomatic medication, and immunotherapy. The efficacy and appropriate population for immunotherapy need further investigation. This article aims to update the knowledge on epidemiology, pathogenesis and clinical management of PFAS, thereby enhancing clinicians' understanding as well as treatment progress of this disease entity.
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Affiliation(s)
- S Liu
- Department of Allergy, Peking Union Medical College Hospital, Peking Union Medical College, Chinese Academy of Medical Sciences, National Clinical Research Center for Dermatologic and Immunologic Diseases, Beijing Key Laboratory of Precision Medicine for Diagnosis and Treatment on Allergic Diseases, Beijing 100730, China
| | - K Guan
- Department of Allergy, Peking Union Medical College Hospital, Peking Union Medical College, Chinese Academy of Medical Sciences, National Clinical Research Center for Dermatologic and Immunologic Diseases, Beijing Key Laboratory of Precision Medicine for Diagnosis and Treatment on Allergic Diseases, Beijing 100730, China
| | - J Yin
- Department of Allergy, Peking Union Medical College Hospital, Peking Union Medical College, Chinese Academy of Medical Sciences, National Clinical Research Center for Dermatologic and Immunologic Diseases, Beijing Key Laboratory of Precision Medicine for Diagnosis and Treatment on Allergic Diseases, Beijing 100730, China
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Samawi H, Ahmed F, Pennello G, Yin J. Net benefit of diagnostic tests for multistate diseases: an indicator variables approach. J Biopharm Stat 2023; 33:611-638. [PMID: 36710380 DOI: 10.1080/10543406.2023.2169928] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 06/07/2022] [Accepted: 12/30/2022] [Indexed: 01/31/2023]
Abstract
A limitation of the common measures of diagnostic test performance, such as sensitivity and specificity, is that they do not consider the relative importance of false negative and false positive test results, which are likely to have different clinical consequences. Therefore, the use of classification or prediction measures alone to compare diagnostic tests or biomarkers can be inconclusive for clinicians. Comparing tests on net benefit can be more conclusive because clinical consequences of misdiagnoses are considered. The literature suggested evaluating the binary diagnostic tests based on net benefit, but did not consider diagnostic tests that classify more than two disease states, e.g., stroke subtype (large-artery atherosclerosis, cardioembolism, small-vessel occlusion, stroke of other determined etiology, stroke of undetermined etiology), skin lesion subtype, breast cancer subtypes (benign, mass, calcification, architectural distortion, etc.), METAVIR liver fibrosis state (F0- F4), histopathological classification of cervical intraepithelial neoplasia (CIN), prostate Gleason grade, brain injury (intracranial hemorrhage, mass effect, midline shift, cranial fracture) . Other diseases have more than two stages, such as Alzheimer's disease (dementia due to Alzheimer's disease, mild cognitive disability (MCI) due to Alzheimer's disease, and preclinical presymptomatics due to Alzheimer's disease). In diseases with more than two states, the benefits and risks may vary between states. This paper extends the net-benefit approach of evaluating binary diagnostic tests to multi-state clinical conditions to rule-in or rule-out a clinical condition based on adverse consequences of work-up delay (due to false negative test result) and unnecessary workup (due to false positive test result). We demonstrate our approach with numerical examples and real data.
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Affiliation(s)
- Hani Samawi
- Department of Biostatistics, Epidemiology and Environmental Health Sciences Jiann-Ping Hsu College of Public Health Georgia Southern University, Statesboro, GA, USA
| | - Ferdous Ahmed
- Department of Biostatistics, Epidemiology and Environmental Health Sciences Jiann-Ping Hsu College of Public Health Georgia Southern University, Statesboro, GA, USA
| | - Gene Pennello
- Center for Devices and Radiological Health, Food and Drug Administration, Silver Spring, MD, USA
| | - Jingjing Yin
- Department of Biostatistics, Epidemiology and Environmental Health Sciences Jiann-Ping Hsu College of Public Health Georgia Southern University, Statesboro, GA, USA
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Zheng Y, Xie L, Huang Z, Peng J, Huang S, Guo R, Huang J, Lin Z, Zhuang Z, Yin J, Hou Z, Ma S. Enhanced activity of the left precuneus as a predictor of visuospatial dysfunction correlates with disease activity in rheumatoid arthritis. Eur J Med Res 2023; 28:276. [PMID: 37559139 PMCID: PMC10413629 DOI: 10.1186/s40001-023-01224-1] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 05/18/2023] [Accepted: 07/12/2023] [Indexed: 08/11/2023] Open
Abstract
OBJECTIVE To identify the potential diagnostic biomarkers of rheumatoid arthritis (RA) and assess the relation between visuospatial dysfunction and disease activity in RA patients using mental rotation task (MRT)-based functional magnetic resonance imaging (fMRI). METHODS A total of 27 RA patients (11 in remission, 16 in active) and 27 well-matched controls were enrolled. The visuospatial function of the subjects was measured by MRT. Brain activity data were collected using blood oxygen level dependent fMRI technique under MRT. Disease activity score 28 (DAS28) was used to evaluate the disease severity of RA patients. An analysis of the correlations between abnormal visuospatial-related brain regions, MRT performance, and DAS28 was conducted. RESULTS RA patients performed worse on MRT than controls. Compared to the control group, RA patients showed enhanced activation in the left precuneus, left superior frontal gyrus and right cingulate gyrus during the rotation task, with left hemisphere dominance. RA patients in active showed enhanced activation in the left precuneus, left middle frontal gyrus and right cingulate gyrus compared to the patients in remission. The left precuneus activation was negatively correlated with MRT accuracy (r = -0.621, p = 0.01) and positively correlated with DAS28 (r = 0.710, p = 0.002), and MRT accuracy was negatively correlated with DAS28 in RA patients (r = -0.702, p = 0.002). CONCLUSION Enhanced activation of the left precuneus in RA patients affects visuospatial function and is closely related to disease activity. These changes may provide a valuable diagnostic neuroimaging biomarker of RA.
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Affiliation(s)
- Yanmin Zheng
- Department of Radiology, The First Affiliated Hospital of Shantou University Medical College, No. 57 ChangPing Road, Shantou, 515041, Guangdong, China
- Laboratory of Medical Molecular Imaging, The First Affiliated Hospital of Shantou University Medical College, Shantou, China
| | - Lei Xie
- Department of Radiology, The First Affiliated Hospital of Shantou University Medical College, No. 57 ChangPing Road, Shantou, 515041, Guangdong, China
- Laboratory of Medical Molecular Imaging, The First Affiliated Hospital of Shantou University Medical College, Shantou, China
| | - Zikai Huang
- Department of Radiology, The First Affiliated Hospital of Shantou University Medical College, No. 57 ChangPing Road, Shantou, 515041, Guangdong, China
- Laboratory of Medical Molecular Imaging, The First Affiliated Hospital of Shantou University Medical College, Shantou, China
| | - Jianhua Peng
- Department of Rheumatology, The First Affiliated Hospital of Shantou University Medical College, Shantou, China
| | - Shuxin Huang
- Department of Rheumatology, The First Affiliated Hospital of Shantou University Medical College, Shantou, China
| | - Ruiwei Guo
- Department of Radiology, The First Affiliated Hospital of Shantou University Medical College, No. 57 ChangPing Road, Shantou, 515041, Guangdong, China
- Laboratory of Medical Molecular Imaging, The First Affiliated Hospital of Shantou University Medical College, Shantou, China
| | - Jinzhuang Huang
- Department of Radiology, The First Affiliated Hospital of Shantou University Medical College, No. 57 ChangPing Road, Shantou, 515041, Guangdong, China
- Laboratory of Medical Molecular Imaging, The First Affiliated Hospital of Shantou University Medical College, Shantou, China
| | - Zhirong Lin
- Department of Radiology, The First Affiliated Hospital of Shantou University Medical College, No. 57 ChangPing Road, Shantou, 515041, Guangdong, China
| | - Zelin Zhuang
- Department of Radiology, The First Affiliated Hospital of Shantou University Medical College, No. 57 ChangPing Road, Shantou, 515041, Guangdong, China
- Laboratory of Medical Molecular Imaging, The First Affiliated Hospital of Shantou University Medical College, Shantou, China
| | - Jingjing Yin
- Department of Radiology, The First Affiliated Hospital of Shantou University Medical College, No. 57 ChangPing Road, Shantou, 515041, Guangdong, China
- Laboratory of Medical Molecular Imaging, The First Affiliated Hospital of Shantou University Medical College, Shantou, China
| | - Zhiduo Hou
- Department of Rheumatology, The First Affiliated Hospital of Shantou University Medical College, Shantou, China.
| | - Shuhua Ma
- Department of Radiology, The First Affiliated Hospital of Shantou University Medical College, No. 57 ChangPing Road, Shantou, 515041, Guangdong, China.
- Laboratory of Medical Molecular Imaging, The First Affiliated Hospital of Shantou University Medical College, Shantou, China.
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30
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Xi J, Cao Y, Wang Y, You X, Liu W, Wang T, Yin J, Ma J, Wang Z, Wu N, Zhang X, Duan H, Luan Y. PIG-A gene mutation as a mutagenicity biomarker among coke oven workers. Food Chem Toxicol 2023; 178:113872. [PMID: 37271276 DOI: 10.1016/j.fct.2023.113872] [Citation(s) in RCA: 2] [Impact Index Per Article: 2.0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 02/14/2023] [Revised: 05/22/2023] [Accepted: 06/01/2023] [Indexed: 06/06/2023]
Abstract
PIG-A gene mutations can be detected in humans, and PIG-A assays can potentially predict the risk of exposure to carcinogens. However, extensive, population-based studies to validate this are lacking. We studied a cohort of occupational coke oven workers with chronic high exposure to carcinogenic polycyclic aromatic hydrocarbons, which are well-studied genotoxins classified by the IARC as carcinogenic to humans. Peripheral blood erythrocytes of workers were assessed for gene mutations using a PIG-A assay, and chromosome damage using the cytokinesis-block micronucleus test with lymphocytes. Two sample populations from a non-industrialized city and new employees in industrial plants were selected as controls. We observed a significantly elevated PIG-A mutation frequency (MF) and increased frequencies of micronuclei (MN) and nuclear buds (NBUDs) in coke oven workers, compared with levels in the control groups. We found that the coke oven workers with different lengths of service had a relatively high mutation frequency. Overall, the study findings showed that occupational exposure of coke oven workers increases the genetic damage and the PIG-A MF could be a potential biomarker for risk assessment of carcinogen exposure.
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Affiliation(s)
- Jing Xi
- School of Public Health, Shanghai Jiao Tong University School of Medicine, Shanghai, China
| | - Yiyi Cao
- School of Public Health, Shanghai Jiao Tong University School of Medicine, Shanghai, China
| | - Yanhua Wang
- Key Laboratory of Chemical Safety and Health, National Institute for Occupational Health and Poison Control, Chinese Center for Disease Control and Prevention, Beijing, China
| | - Xinyue You
- School of Public Health, Shanghai Jiao Tong University School of Medicine, Shanghai, China
| | - Weiying Liu
- School of Public Health, Shanghai Jiao Tong University School of Medicine, Shanghai, China
| | - Ting Wang
- Key Laboratory of Chemical Safety and Health, National Institute for Occupational Health and Poison Control, Chinese Center for Disease Control and Prevention, Beijing, China
| | - Jingjing Yin
- Key Laboratory of Chemical Safety and Health, National Institute for Occupational Health and Poison Control, Chinese Center for Disease Control and Prevention, Beijing, China
| | - Junxiang Ma
- Department of Occupational Health and Environmental Health, School of Public Health, Capital Medical University, Beijing, China
| | - Zhenjie Wang
- Key Laboratory of Chemical Safety and Health, National Institute for Occupational Health and Poison Control, Chinese Center for Disease Control and Prevention, Beijing, China
| | - Nan Wu
- Key Laboratory of Chemical Safety and Health, National Institute for Occupational Health and Poison Control, Chinese Center for Disease Control and Prevention, Beijing, China
| | - Xinyu Zhang
- School of Public Health, Shanghai Jiao Tong University School of Medicine, Shanghai, China
| | - Huawei Duan
- Key Laboratory of Chemical Safety and Health, National Institute for Occupational Health and Poison Control, Chinese Center for Disease Control and Prevention, Beijing, China.
| | - Yang Luan
- School of Public Health, Shanghai Jiao Tong University School of Medicine, Shanghai, China.
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31
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Aalbers J, Akerib DS, Akerlof CW, Al Musalhi AK, Alder F, Alqahtani A, Alsum SK, Amarasinghe CS, Ames A, Anderson TJ, Angelides N, Araújo HM, Armstrong JE, Arthurs M, Azadi S, Bailey AJ, Baker A, Balajthy J, Balashov S, Bang J, Bargemann JW, Barry MJ, Barthel J, Bauer D, Baxter A, Beattie K, Belle J, Beltrame P, Bensinger J, Benson T, Bernard EP, Bhatti A, Biekert A, Biesiadzinski TP, Birch HJ, Birrittella B, Blockinger GM, Boast KE, Boxer B, Bramante R, Brew CAJ, Brás P, Buckley JH, Bugaev VV, Burdin S, Busenitz JK, Buuck M, Cabrita R, Carels C, Carlsmith DL, Carlson B, Carmona-Benitez MC, Cascella M, Chan C, Chawla A, Chen H, Cherwinka JJ, Chott NI, Cole A, Coleman J, Converse MV, Cottle A, Cox G, Craddock WW, Creaner O, Curran D, Currie A, Cutter JE, Dahl CE, David A, Davis J, Davison TJR, Delgaudio J, Dey S, de Viveiros L, Dobi A, Dobson JEY, Druszkiewicz E, Dushkin A, Edberg TK, Edwards WR, Elnimr MM, Emmet WT, Eriksen SR, Faham CH, Fan A, Fayer S, Fearon NM, Fiorucci S, Flaecher H, Ford P, Francis VB, Fraser ED, Fruth T, Gaitskell RJ, Gantos NJ, Garcia D, Geffre A, Gehman VM, Genovesi J, Ghag C, Gibbons R, Gibson E, Gilchriese MGD, Gokhale S, Gomber B, Green J, Greenall A, Greenwood S, van der Grinten MGD, Gwilliam CB, Hall CR, Hans S, Hanzel K, Harrison A, Hartigan-O'Connor E, Haselschwardt SJ, Hernandez MA, Hertel SA, Heuermann G, Hjemfelt C, Hoff MD, Holtom E, Hor JYK, Horn M, Huang DQ, Hunt D, Ignarra CM, Jacobsen RG, Jahangir O, James RS, Jeffery SN, Ji W, Johnson J, Kaboth AC, Kamaha AC, Kamdin K, Kasey V, Kazkaz K, Keefner J, Khaitan D, Khaleeq M, Khazov A, Khurana I, Kim YD, Kocher CD, Kodroff D, Korley L, Korolkova EV, Kras J, Kraus H, Kravitz S, Krebs HJ, Kreczko L, Krikler B, Kudryavtsev VA, Kyre S, Landerud B, Leason EA, Lee C, Lee J, Leonard DS, Leonard R, Lesko KT, Levy C, Li J, Liao FT, Liao J, Lin J, Lindote A, Linehan R, Lippincott WH, Liu R, Liu X, Liu Y, Loniewski C, Lopes MI, Lopez Asamar E, López Paredes B, Lorenzon W, Lucero D, Luitz S, Lyle JM, Majewski PA, Makkinje J, Malling DC, Manalaysay A, Manenti L, Mannino RL, Marangou N, Marzioni MF, Maupin C, McCarthy ME, McConnell CT, McKinsey DN, McLaughlin J, Meng Y, Migneault J, Miller EH, Mizrachi E, Mock JA, Monte A, Monzani ME, Morad JA, Morales Mendoza JD, Morrison E, Mount BJ, Murdy M, Murphy ASJ, Naim D, Naylor A, Nedlik C, Nehrkorn C, Neves F, Nguyen A, Nikoleyczik JA, Nilima A, O'Dell J, O'Neill FG, O'Sullivan K, Olcina I, Olevitch MA, Oliver-Mallory KC, Orpwood J, Pagenkopf D, Pal S, Palladino KJ, Palmer J, Pangilinan M, Parveen N, Patton SJ, Pease EK, Penning B, Pereira C, Pereira G, Perry E, Pershing T, Peterson IB, Piepke A, Podczerwinski J, Porzio D, Powell S, Preece RM, Pushkin K, Qie Y, Ratcliff BN, Reichenbacher J, Reichhart L, Rhyne CA, Richards A, Riffard Q, Rischbieter GRC, Rodrigues JP, Rodriguez A, Rose HJ, Rosero R, Rossiter P, Rushton T, Rutherford G, Rynders D, Saba JS, Santone D, Sazzad ABMR, Schnee RW, Scovell PR, Seymour D, Shaw S, Shutt T, Silk JJ, Silva C, Sinev G, Skarpaas K, Skulski W, Smith R, Solmaz M, Solovov VN, Sorensen P, Soria J, Stancu I, Stark MR, Stevens A, Stiegler TM, Stifter K, Studley R, Suerfu B, Sumner TJ, Sutcliffe P, Swanson N, Szydagis M, Tan M, Taylor DJ, Taylor R, Taylor WC, Temples DJ, Tennyson BP, Terman PA, Thomas KJ, Tiedt DR, Timalsina M, To WH, Tomás A, Tong Z, Tovey DR, Tranter J, Trask M, Tripathi M, Tronstad DR, Tull CE, Turner W, Tvrznikova L, Utku U, Va'vra J, Vacheret A, Vaitkus AC, Verbus JR, Voirin E, Waldron WL, Wang A, Wang B, Wang JJ, Wang W, Wang Y, Watson JR, Webb RC, White A, White DT, White JT, White RG, Whitis TJ, Williams M, Wisniewski WJ, Witherell MS, Wolfs FLH, Wolfs JD, Woodford S, Woodward D, Worm SD, Wright CJ, Xia Q, Xiang X, Xiao Q, Xu J, Yeh M, Yin J, Young I, Zarzhitsky P, Zuckerman A, Zweig EA. First Dark Matter Search Results from the LUX-ZEPLIN (LZ) Experiment. Phys Rev Lett 2023; 131:041002. [PMID: 37566836 DOI: 10.1103/physrevlett.131.041002] [Citation(s) in RCA: 5] [Impact Index Per Article: 5.0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Track Full Text] [Subscribe] [Scholar Register] [Received: 07/18/2022] [Revised: 03/06/2023] [Accepted: 06/07/2023] [Indexed: 08/13/2023]
Abstract
The LUX-ZEPLIN experiment is a dark matter detector centered on a dual-phase xenon time projection chamber operating at the Sanford Underground Research Facility in Lead, South Dakota, USA. This Letter reports results from LUX-ZEPLIN's first search for weakly interacting massive particles (WIMPs) with an exposure of 60 live days using a fiducial mass of 5.5 t. A profile-likelihood ratio analysis shows the data to be consistent with a background-only hypothesis, setting new limits on spin-independent WIMP-nucleon, spin-dependent WIMP-neutron, and spin-dependent WIMP-proton cross sections for WIMP masses above 9 GeV/c^{2}. The most stringent limit is set for spin-independent scattering at 36 GeV/c^{2}, rejecting cross sections above 9.2×10^{-48} cm at the 90% confidence level.
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Affiliation(s)
- J Aalbers
- SLAC National Accelerator Laboratory, Menlo Park, California 94025-7015, USA
- Kavli Institute for Particle Astrophysics and Cosmology, Stanford University, Stanford, California 94305-4085 USA
| | - D S Akerib
- SLAC National Accelerator Laboratory, Menlo Park, California 94025-7015, USA
- Kavli Institute for Particle Astrophysics and Cosmology, Stanford University, Stanford, California 94305-4085 USA
| | - C W Akerlof
- University of Michigan, Randall Laboratory of Physics, Ann Arbor, Michigan 48109-1040, USA
| | - A K Al Musalhi
- University of Oxford, Department of Physics, Oxford OX1 3RH, United Kingdom
| | - F Alder
- University College London (UCL), Department of Physics and Astronomy, London WC1E 6BT, United Kingdom
| | - A Alqahtani
- Brown University, Department of Physics, Providence, Rhode Island 02912-9037, USA
| | - S K Alsum
- University of Wisconsin-Madison, Department of Physics, Madison, Wisconsin 53706-1390, USA
| | - C S Amarasinghe
- University of Michigan, Randall Laboratory of Physics, Ann Arbor, Michigan 48109-1040, USA
| | - A Ames
- SLAC National Accelerator Laboratory, Menlo Park, California 94025-7015, USA
- Kavli Institute for Particle Astrophysics and Cosmology, Stanford University, Stanford, California 94305-4085 USA
| | - T J Anderson
- SLAC National Accelerator Laboratory, Menlo Park, California 94025-7015, USA
- Kavli Institute for Particle Astrophysics and Cosmology, Stanford University, Stanford, California 94305-4085 USA
| | - N Angelides
- University College London (UCL), Department of Physics and Astronomy, London WC1E 6BT, United Kingdom
- Imperial College London, Physics Department, Blackett Laboratory, London SW7 2AZ, United Kingdom
| | - H M Araújo
- Imperial College London, Physics Department, Blackett Laboratory, London SW7 2AZ, United Kingdom
| | - J E Armstrong
- University of Maryland, Department of Physics, College Park, Maryland 20742-4111, USA
| | - M Arthurs
- University of Michigan, Randall Laboratory of Physics, Ann Arbor, Michigan 48109-1040, USA
| | - S Azadi
- University of California, Santa Barbara, Department of Physics, Santa Barbara, California 93106-9530, USA
| | - A J Bailey
- Imperial College London, Physics Department, Blackett Laboratory, London SW7 2AZ, United Kingdom
| | - A Baker
- Imperial College London, Physics Department, Blackett Laboratory, London SW7 2AZ, United Kingdom
| | - J Balajthy
- University of California, Davis, Department of Physics, Davis, California 95616-5270, USA
| | - S Balashov
- STFC Rutherford Appleton Laboratory (RAL), Didcot, OX11 0QX, United Kingdom
| | - J Bang
- Brown University, Department of Physics, Providence, Rhode Island 02912-9037, USA
| | - J W Bargemann
- University of California, Santa Barbara, Department of Physics, Santa Barbara, California 93106-9530, USA
| | - M J Barry
- Lawrence Berkeley National Laboratory (LBNL), Berkeley, California 94720-8099, USA
| | - J Barthel
- South Dakota Science and Technology Authority (SDSTA), Sanford Underground Research Facility, Lead, South Dakota 57754-1700, USA
| | - D Bauer
- Imperial College London, Physics Department, Blackett Laboratory, London SW7 2AZ, United Kingdom
| | - A Baxter
- University of Liverpool, Department of Physics, Liverpool L69 7ZE, United Kingdom
| | - K Beattie
- Lawrence Berkeley National Laboratory (LBNL), Berkeley, California 94720-8099, USA
| | - J Belle
- Fermi National Accelerator Laboratory (FNAL), Batavia, Illinois 60510-5011, USA
| | - P Beltrame
- University College London (UCL), Department of Physics and Astronomy, London WC1E 6BT, United Kingdom
- University of Edinburgh, SUPA, School of Physics and Astronomy, Edinburgh EH9 3FD, United Kingdom
| | - J Bensinger
- Brandeis University, Department of Physics, Waltham, Massachusetts 02453, USA
| | - T Benson
- University of Wisconsin-Madison, Department of Physics, Madison, Wisconsin 53706-1390, USA
| | - E P Bernard
- Lawrence Berkeley National Laboratory (LBNL), Berkeley, California 94720-8099, USA
- University of California, Berkeley, Department of Physics, Berkeley, California 94720-7300, USA
| | - A Bhatti
- University of Maryland, Department of Physics, College Park, Maryland 20742-4111, USA
| | - A Biekert
- Lawrence Berkeley National Laboratory (LBNL), Berkeley, California 94720-8099, USA
- University of California, Berkeley, Department of Physics, Berkeley, California 94720-7300, USA
| | - T P Biesiadzinski
- SLAC National Accelerator Laboratory, Menlo Park, California 94025-7015, USA
- Kavli Institute for Particle Astrophysics and Cosmology, Stanford University, Stanford, California 94305-4085 USA
| | - H J Birch
- University of Michigan, Randall Laboratory of Physics, Ann Arbor, Michigan 48109-1040, USA
- University of Liverpool, Department of Physics, Liverpool L69 7ZE, United Kingdom
| | - B Birrittella
- University of Wisconsin-Madison, Department of Physics, Madison, Wisconsin 53706-1390, USA
| | - G M Blockinger
- University at Albany (SUNY), Department of Physics, Albany, New York 12222-0100, USA
| | - K E Boast
- University of Oxford, Department of Physics, Oxford OX1 3RH, United Kingdom
| | - B Boxer
- University of California, Davis, Department of Physics, Davis, California 95616-5270, USA
- University of Liverpool, Department of Physics, Liverpool L69 7ZE, United Kingdom
| | - R Bramante
- SLAC National Accelerator Laboratory, Menlo Park, California 94025-7015, USA
- Kavli Institute for Particle Astrophysics and Cosmology, Stanford University, Stanford, California 94305-4085 USA
| | - C A J Brew
- STFC Rutherford Appleton Laboratory (RAL), Didcot, OX11 0QX, United Kingdom
| | - P Brás
- Laboratório de Instrumentação e Física Experimental de Partículas (LIP), University of Coimbra, P-3004 516 Coimbra, Portugal
| | - J H Buckley
- Washington University in St. Louis, Department of Physics, St. Louis, Missouri 63130-4862, USA
| | - V V Bugaev
- Washington University in St. Louis, Department of Physics, St. Louis, Missouri 63130-4862, USA
| | - S Burdin
- University of Liverpool, Department of Physics, Liverpool L69 7ZE, United Kingdom
| | - J K Busenitz
- University of Alabama, Department of Physics and Astronomy, Tuscaloosa, Alabama 34587-0324, USA
| | - M Buuck
- SLAC National Accelerator Laboratory, Menlo Park, California 94025-7015, USA
- Kavli Institute for Particle Astrophysics and Cosmology, Stanford University, Stanford, California 94305-4085 USA
| | - R Cabrita
- Laboratório de Instrumentação e Física Experimental de Partículas (LIP), University of Coimbra, P-3004 516 Coimbra, Portugal
| | - C Carels
- University of Oxford, Department of Physics, Oxford OX1 3RH, United Kingdom
| | - D L Carlsmith
- University of Wisconsin-Madison, Department of Physics, Madison, Wisconsin 53706-1390, USA
| | - B Carlson
- South Dakota Science and Technology Authority (SDSTA), Sanford Underground Research Facility, Lead, South Dakota 57754-1700, USA
| | - M C Carmona-Benitez
- Pennsylvania State University, Department of Physics, University Park, Pennsylvania 16802-6300, USA
| | - M Cascella
- University College London (UCL), Department of Physics and Astronomy, London WC1E 6BT, United Kingdom
| | - C Chan
- Brown University, Department of Physics, Providence, Rhode Island 02912-9037, USA
| | - A Chawla
- Royal Holloway, University of London, Department of Physics, Egham, TW20 0EX, United Kingdom
| | - H Chen
- Lawrence Berkeley National Laboratory (LBNL), Berkeley, California 94720-8099, USA
| | - J J Cherwinka
- University of Wisconsin-Madison, Department of Physics, Madison, Wisconsin 53706-1390, USA
| | - N I Chott
- South Dakota School of Mines and Technology, Rapid City, South Dakota 57701-3901, USA
| | - A Cole
- Lawrence Berkeley National Laboratory (LBNL), Berkeley, California 94720-8099, USA
| | - J Coleman
- Lawrence Berkeley National Laboratory (LBNL), Berkeley, California 94720-8099, USA
| | - M V Converse
- University of Rochester, Department of Physics and Astronomy, Rochester, New York 14627-0171, USA
| | - A Cottle
- University of Oxford, Department of Physics, Oxford OX1 3RH, United Kingdom
- Fermi National Accelerator Laboratory (FNAL), Batavia, Illinois 60510-5011, USA
| | - G Cox
- South Dakota Science and Technology Authority (SDSTA), Sanford Underground Research Facility, Lead, South Dakota 57754-1700, USA
- Pennsylvania State University, Department of Physics, University Park, Pennsylvania 16802-6300, USA
| | - W W Craddock
- SLAC National Accelerator Laboratory, Menlo Park, California 94025-7015, USA
| | - O Creaner
- Lawrence Berkeley National Laboratory (LBNL), Berkeley, California 94720-8099, USA
| | - D Curran
- South Dakota Science and Technology Authority (SDSTA), Sanford Underground Research Facility, Lead, South Dakota 57754-1700, USA
| | - A Currie
- Imperial College London, Physics Department, Blackett Laboratory, London SW7 2AZ, United Kingdom
| | - J E Cutter
- University of California, Davis, Department of Physics, Davis, California 95616-5270, USA
| | - C E Dahl
- Fermi National Accelerator Laboratory (FNAL), Batavia, Illinois 60510-5011, USA
- Northwestern University, Department of Physics & Astronomy, Evanston, Illinois 60208-3112, USA
| | - A David
- University College London (UCL), Department of Physics and Astronomy, London WC1E 6BT, United Kingdom
| | - J Davis
- South Dakota Science and Technology Authority (SDSTA), Sanford Underground Research Facility, Lead, South Dakota 57754-1700, USA
| | - T J R Davison
- University of Edinburgh, SUPA, School of Physics and Astronomy, Edinburgh EH9 3FD, United Kingdom
| | - J Delgaudio
- South Dakota Science and Technology Authority (SDSTA), Sanford Underground Research Facility, Lead, South Dakota 57754-1700, USA
| | - S Dey
- University of Oxford, Department of Physics, Oxford OX1 3RH, United Kingdom
| | - L de Viveiros
- Pennsylvania State University, Department of Physics, University Park, Pennsylvania 16802-6300, USA
| | - A Dobi
- Lawrence Berkeley National Laboratory (LBNL), Berkeley, California 94720-8099, USA
| | - J E Y Dobson
- University College London (UCL), Department of Physics and Astronomy, London WC1E 6BT, United Kingdom
| | - E Druszkiewicz
- University of Rochester, Department of Physics and Astronomy, Rochester, New York 14627-0171, USA
| | - A Dushkin
- Brandeis University, Department of Physics, Waltham, Massachusetts 02453, USA
| | - T K Edberg
- University of Maryland, Department of Physics, College Park, Maryland 20742-4111, USA
| | - W R Edwards
- Lawrence Berkeley National Laboratory (LBNL), Berkeley, California 94720-8099, USA
| | - M M Elnimr
- University of Alabama, Department of Physics and Astronomy, Tuscaloosa, Alabama 34587-0324, USA
| | - W T Emmet
- Yale University, Department of Physics, New Haven, Connecticut 06511-8499, USA
| | - S R Eriksen
- University of Bristol, H.H. Wills Physics Laboratory, Bristol, BS8 1TL, United Kingdom
| | - C H Faham
- Lawrence Berkeley National Laboratory (LBNL), Berkeley, California 94720-8099, USA
| | - A Fan
- SLAC National Accelerator Laboratory, Menlo Park, California 94025-7015, USA
- Kavli Institute for Particle Astrophysics and Cosmology, Stanford University, Stanford, California 94305-4085 USA
| | - S Fayer
- Imperial College London, Physics Department, Blackett Laboratory, London SW7 2AZ, United Kingdom
| | - N M Fearon
- University of Oxford, Department of Physics, Oxford OX1 3RH, United Kingdom
| | - S Fiorucci
- Lawrence Berkeley National Laboratory (LBNL), Berkeley, California 94720-8099, USA
| | - H Flaecher
- University of Bristol, H.H. Wills Physics Laboratory, Bristol, BS8 1TL, United Kingdom
| | - P Ford
- STFC Rutherford Appleton Laboratory (RAL), Didcot, OX11 0QX, United Kingdom
| | - V B Francis
- STFC Rutherford Appleton Laboratory (RAL), Didcot, OX11 0QX, United Kingdom
| | - E D Fraser
- University of Liverpool, Department of Physics, Liverpool L69 7ZE, United Kingdom
| | - T Fruth
- University of Oxford, Department of Physics, Oxford OX1 3RH, United Kingdom
- University College London (UCL), Department of Physics and Astronomy, London WC1E 6BT, United Kingdom
| | - R J Gaitskell
- Brown University, Department of Physics, Providence, Rhode Island 02912-9037, USA
| | - N J Gantos
- Lawrence Berkeley National Laboratory (LBNL), Berkeley, California 94720-8099, USA
| | - D Garcia
- Brown University, Department of Physics, Providence, Rhode Island 02912-9037, USA
| | - A Geffre
- South Dakota Science and Technology Authority (SDSTA), Sanford Underground Research Facility, Lead, South Dakota 57754-1700, USA
| | - V M Gehman
- Lawrence Berkeley National Laboratory (LBNL), Berkeley, California 94720-8099, USA
| | - J Genovesi
- South Dakota School of Mines and Technology, Rapid City, South Dakota 57701-3901, USA
| | - C Ghag
- University College London (UCL), Department of Physics and Astronomy, London WC1E 6BT, United Kingdom
| | - R Gibbons
- Lawrence Berkeley National Laboratory (LBNL), Berkeley, California 94720-8099, USA
- University of California, Berkeley, Department of Physics, Berkeley, California 94720-7300, USA
| | - E Gibson
- University of Oxford, Department of Physics, Oxford OX1 3RH, United Kingdom
| | - M G D Gilchriese
- Lawrence Berkeley National Laboratory (LBNL), Berkeley, California 94720-8099, USA
| | - S Gokhale
- Brookhaven National Laboratory (BNL), Upton, New York 11973-5000, USA
| | - B Gomber
- University of Wisconsin-Madison, Department of Physics, Madison, Wisconsin 53706-1390, USA
| | - J Green
- University of Oxford, Department of Physics, Oxford OX1 3RH, United Kingdom
| | - A Greenall
- University of Liverpool, Department of Physics, Liverpool L69 7ZE, United Kingdom
| | - S Greenwood
- Imperial College London, Physics Department, Blackett Laboratory, London SW7 2AZ, United Kingdom
| | | | - C B Gwilliam
- University of Liverpool, Department of Physics, Liverpool L69 7ZE, United Kingdom
| | - C R Hall
- University of Maryland, Department of Physics, College Park, Maryland 20742-4111, USA
| | - S Hans
- Brookhaven National Laboratory (BNL), Upton, New York 11973-5000, USA
| | - K Hanzel
- Lawrence Berkeley National Laboratory (LBNL), Berkeley, California 94720-8099, USA
| | - A Harrison
- South Dakota School of Mines and Technology, Rapid City, South Dakota 57701-3901, USA
| | - E Hartigan-O'Connor
- Brown University, Department of Physics, Providence, Rhode Island 02912-9037, USA
| | - S J Haselschwardt
- Lawrence Berkeley National Laboratory (LBNL), Berkeley, California 94720-8099, USA
| | - M A Hernandez
- University of Michigan, Randall Laboratory of Physics, Ann Arbor, Michigan 48109-1040, USA
| | - S A Hertel
- University of Massachusetts, Department of Physics, Amherst, Massachusetts 01003-9337, USA
| | - G Heuermann
- University of Michigan, Randall Laboratory of Physics, Ann Arbor, Michigan 48109-1040, USA
| | - C Hjemfelt
- South Dakota School of Mines and Technology, Rapid City, South Dakota 57701-3901, USA
| | - M D Hoff
- Lawrence Berkeley National Laboratory (LBNL), Berkeley, California 94720-8099, USA
| | - E Holtom
- STFC Rutherford Appleton Laboratory (RAL), Didcot, OX11 0QX, United Kingdom
| | - J Y-K Hor
- University of Alabama, Department of Physics and Astronomy, Tuscaloosa, Alabama 34587-0324, USA
| | - M Horn
- South Dakota Science and Technology Authority (SDSTA), Sanford Underground Research Facility, Lead, South Dakota 57754-1700, USA
| | - D Q Huang
- University of Michigan, Randall Laboratory of Physics, Ann Arbor, Michigan 48109-1040, USA
- Brown University, Department of Physics, Providence, Rhode Island 02912-9037, USA
| | - D Hunt
- University of Oxford, Department of Physics, Oxford OX1 3RH, United Kingdom
| | - C M Ignarra
- SLAC National Accelerator Laboratory, Menlo Park, California 94025-7015, USA
- Kavli Institute for Particle Astrophysics and Cosmology, Stanford University, Stanford, California 94305-4085 USA
| | - R G Jacobsen
- Lawrence Berkeley National Laboratory (LBNL), Berkeley, California 94720-8099, USA
- University of California, Berkeley, Department of Physics, Berkeley, California 94720-7300, USA
| | - O Jahangir
- University College London (UCL), Department of Physics and Astronomy, London WC1E 6BT, United Kingdom
| | - R S James
- University College London (UCL), Department of Physics and Astronomy, London WC1E 6BT, United Kingdom
| | - S N Jeffery
- STFC Rutherford Appleton Laboratory (RAL), Didcot, OX11 0QX, United Kingdom
| | - W Ji
- SLAC National Accelerator Laboratory, Menlo Park, California 94025-7015, USA
- Kavli Institute for Particle Astrophysics and Cosmology, Stanford University, Stanford, California 94305-4085 USA
| | - J Johnson
- University of California, Davis, Department of Physics, Davis, California 95616-5270, USA
| | - A C Kaboth
- STFC Rutherford Appleton Laboratory (RAL), Didcot, OX11 0QX, United Kingdom
- Royal Holloway, University of London, Department of Physics, Egham, TW20 0EX, United Kingdom
| | - A C Kamaha
- University at Albany (SUNY), Department of Physics, Albany, New York 12222-0100, USA
- University of Califonia, Los Angeles, Department of Physics and Astronomy, Los Angeles, California 90095-1547
| | - K Kamdin
- Lawrence Berkeley National Laboratory (LBNL), Berkeley, California 94720-8099, USA
- University of California, Berkeley, Department of Physics, Berkeley, California 94720-7300, USA
| | - V Kasey
- Imperial College London, Physics Department, Blackett Laboratory, London SW7 2AZ, United Kingdom
| | - K Kazkaz
- Lawrence Livermore National Laboratory (LLNL), Livermore, California 94550-9698, USA
| | - J Keefner
- South Dakota Science and Technology Authority (SDSTA), Sanford Underground Research Facility, Lead, South Dakota 57754-1700, USA
| | - D Khaitan
- University of Rochester, Department of Physics and Astronomy, Rochester, New York 14627-0171, USA
| | - M Khaleeq
- Imperial College London, Physics Department, Blackett Laboratory, London SW7 2AZ, United Kingdom
| | - A Khazov
- STFC Rutherford Appleton Laboratory (RAL), Didcot, OX11 0QX, United Kingdom
| | - I Khurana
- University College London (UCL), Department of Physics and Astronomy, London WC1E 6BT, United Kingdom
| | - Y D Kim
- IBS Center for Underground Physics (CUP), Yuseong-gu, Daejeon, Korea
| | - C D Kocher
- Brown University, Department of Physics, Providence, Rhode Island 02912-9037, USA
| | - D Kodroff
- Pennsylvania State University, Department of Physics, University Park, Pennsylvania 16802-6300, USA
| | - L Korley
- University of Michigan, Randall Laboratory of Physics, Ann Arbor, Michigan 48109-1040, USA
- Brandeis University, Department of Physics, Waltham, Massachusetts 02453, USA
| | - E V Korolkova
- University of Sheffield, Department of Physics and Astronomy, Sheffield S3 7RH, United Kingdom
| | - J Kras
- University of Wisconsin-Madison, Department of Physics, Madison, Wisconsin 53706-1390, USA
| | - H Kraus
- University of Oxford, Department of Physics, Oxford OX1 3RH, United Kingdom
| | - S Kravitz
- Lawrence Berkeley National Laboratory (LBNL), Berkeley, California 94720-8099, USA
| | - H J Krebs
- SLAC National Accelerator Laboratory, Menlo Park, California 94025-7015, USA
| | - L Kreczko
- Brookhaven National Laboratory (BNL), Upton, New York 11973-5000, USA
| | - B Krikler
- Brookhaven National Laboratory (BNL), Upton, New York 11973-5000, USA
| | - V A Kudryavtsev
- University of Sheffield, Department of Physics and Astronomy, Sheffield S3 7RH, United Kingdom
| | - S Kyre
- University of California, Santa Barbara, Department of Physics, Santa Barbara, California 93106-9530, USA
| | - B Landerud
- University of Wisconsin-Madison, Department of Physics, Madison, Wisconsin 53706-1390, USA
| | - E A Leason
- University of Edinburgh, SUPA, School of Physics and Astronomy, Edinburgh EH9 3FD, United Kingdom
| | - C Lee
- SLAC National Accelerator Laboratory, Menlo Park, California 94025-7015, USA
- Kavli Institute for Particle Astrophysics and Cosmology, Stanford University, Stanford, California 94305-4085 USA
| | - J Lee
- IBS Center for Underground Physics (CUP), Yuseong-gu, Daejeon, Korea
| | - D S Leonard
- IBS Center for Underground Physics (CUP), Yuseong-gu, Daejeon, Korea
| | - R Leonard
- South Dakota School of Mines and Technology, Rapid City, South Dakota 57701-3901, USA
| | - K T Lesko
- Lawrence Berkeley National Laboratory (LBNL), Berkeley, California 94720-8099, USA
| | - C Levy
- University at Albany (SUNY), Department of Physics, Albany, New York 12222-0100, USA
| | - J Li
- IBS Center for Underground Physics (CUP), Yuseong-gu, Daejeon, Korea
| | - F-T Liao
- University of Oxford, Department of Physics, Oxford OX1 3RH, United Kingdom
| | - J Liao
- Brown University, Department of Physics, Providence, Rhode Island 02912-9037, USA
| | - J Lin
- University of Oxford, Department of Physics, Oxford OX1 3RH, United Kingdom
- Lawrence Berkeley National Laboratory (LBNL), Berkeley, California 94720-8099, USA
- University of California, Berkeley, Department of Physics, Berkeley, California 94720-7300, USA
| | - A Lindote
- Laboratório de Instrumentação e Física Experimental de Partículas (LIP), University of Coimbra, P-3004 516 Coimbra, Portugal
| | - R Linehan
- SLAC National Accelerator Laboratory, Menlo Park, California 94025-7015, USA
- Kavli Institute for Particle Astrophysics and Cosmology, Stanford University, Stanford, California 94305-4085 USA
| | - W H Lippincott
- University of California, Santa Barbara, Department of Physics, Santa Barbara, California 93106-9530, USA
- Fermi National Accelerator Laboratory (FNAL), Batavia, Illinois 60510-5011, USA
| | - R Liu
- Brown University, Department of Physics, Providence, Rhode Island 02912-9037, USA
| | - X Liu
- University of Edinburgh, SUPA, School of Physics and Astronomy, Edinburgh EH9 3FD, United Kingdom
| | - Y Liu
- University of Wisconsin-Madison, Department of Physics, Madison, Wisconsin 53706-1390, USA
| | - C Loniewski
- University of Rochester, Department of Physics and Astronomy, Rochester, New York 14627-0171, USA
| | - M I Lopes
- Laboratório de Instrumentação e Física Experimental de Partículas (LIP), University of Coimbra, P-3004 516 Coimbra, Portugal
| | - E Lopez Asamar
- Laboratório de Instrumentação e Física Experimental de Partículas (LIP), University of Coimbra, P-3004 516 Coimbra, Portugal
| | - B López Paredes
- Imperial College London, Physics Department, Blackett Laboratory, London SW7 2AZ, United Kingdom
| | - W Lorenzon
- University of Michigan, Randall Laboratory of Physics, Ann Arbor, Michigan 48109-1040, USA
| | - D Lucero
- South Dakota Science and Technology Authority (SDSTA), Sanford Underground Research Facility, Lead, South Dakota 57754-1700, USA
| | - S Luitz
- SLAC National Accelerator Laboratory, Menlo Park, California 94025-7015, USA
| | - J M Lyle
- Brown University, Department of Physics, Providence, Rhode Island 02912-9037, USA
| | - P A Majewski
- STFC Rutherford Appleton Laboratory (RAL), Didcot, OX11 0QX, United Kingdom
| | - J Makkinje
- Brown University, Department of Physics, Providence, Rhode Island 02912-9037, USA
| | - D C Malling
- Brown University, Department of Physics, Providence, Rhode Island 02912-9037, USA
| | - A Manalaysay
- University of California, Davis, Department of Physics, Davis, California 95616-5270, USA
- Lawrence Berkeley National Laboratory (LBNL), Berkeley, California 94720-8099, USA
| | - L Manenti
- University College London (UCL), Department of Physics and Astronomy, London WC1E 6BT, United Kingdom
| | - R L Mannino
- University of Wisconsin-Madison, Department of Physics, Madison, Wisconsin 53706-1390, USA
| | - N Marangou
- Imperial College London, Physics Department, Blackett Laboratory, London SW7 2AZ, United Kingdom
| | - M F Marzioni
- University of Edinburgh, SUPA, School of Physics and Astronomy, Edinburgh EH9 3FD, United Kingdom
| | - C Maupin
- South Dakota Science and Technology Authority (SDSTA), Sanford Underground Research Facility, Lead, South Dakota 57754-1700, USA
| | - M E McCarthy
- University of Rochester, Department of Physics and Astronomy, Rochester, New York 14627-0171, USA
| | - C T McConnell
- Lawrence Berkeley National Laboratory (LBNL), Berkeley, California 94720-8099, USA
| | - D N McKinsey
- Lawrence Berkeley National Laboratory (LBNL), Berkeley, California 94720-8099, USA
- University of California, Berkeley, Department of Physics, Berkeley, California 94720-7300, USA
| | - J McLaughlin
- Northwestern University, Department of Physics & Astronomy, Evanston, Illinois 60208-3112, USA
| | - Y Meng
- University of Alabama, Department of Physics and Astronomy, Tuscaloosa, Alabama 34587-0324, USA
| | - J Migneault
- Brown University, Department of Physics, Providence, Rhode Island 02912-9037, USA
| | - E H Miller
- SLAC National Accelerator Laboratory, Menlo Park, California 94025-7015, USA
- Kavli Institute for Particle Astrophysics and Cosmology, Stanford University, Stanford, California 94305-4085 USA
- South Dakota School of Mines and Technology, Rapid City, South Dakota 57701-3901, USA
| | - E Mizrachi
- University of Maryland, Department of Physics, College Park, Maryland 20742-4111, USA
- Lawrence Livermore National Laboratory (LLNL), Livermore, California 94550-9698, USA
| | - J A Mock
- Lawrence Berkeley National Laboratory (LBNL), Berkeley, California 94720-8099, USA
- University at Albany (SUNY), Department of Physics, Albany, New York 12222-0100, USA
| | - A Monte
- University of California, Santa Barbara, Department of Physics, Santa Barbara, California 93106-9530, USA
- Fermi National Accelerator Laboratory (FNAL), Batavia, Illinois 60510-5011, USA
| | - M E Monzani
- SLAC National Accelerator Laboratory, Menlo Park, California 94025-7015, USA
- Kavli Institute for Particle Astrophysics and Cosmology, Stanford University, Stanford, California 94305-4085 USA
- Vatican Observatory, Castel Gandolfo, V-00120, Vatican City State
| | - J A Morad
- University of California, Davis, Department of Physics, Davis, California 95616-5270, USA
| | - J D Morales Mendoza
- SLAC National Accelerator Laboratory, Menlo Park, California 94025-7015, USA
- Kavli Institute for Particle Astrophysics and Cosmology, Stanford University, Stanford, California 94305-4085 USA
| | - E Morrison
- South Dakota School of Mines and Technology, Rapid City, South Dakota 57701-3901, USA
| | - B J Mount
- Black Hills State University, School of Natural Sciences, Spearfish, South Dakota 57799-0002, USA
| | - M Murdy
- University of Massachusetts, Department of Physics, Amherst, Massachusetts 01003-9337, USA
| | - A St J Murphy
- University of Edinburgh, SUPA, School of Physics and Astronomy, Edinburgh EH9 3FD, United Kingdom
| | - D Naim
- University of California, Davis, Department of Physics, Davis, California 95616-5270, USA
| | - A Naylor
- University of Sheffield, Department of Physics and Astronomy, Sheffield S3 7RH, United Kingdom
| | - C Nedlik
- University of Massachusetts, Department of Physics, Amherst, Massachusetts 01003-9337, USA
| | - C Nehrkorn
- University of California, Santa Barbara, Department of Physics, Santa Barbara, California 93106-9530, USA
| | - F Neves
- Laboratório de Instrumentação e Física Experimental de Partículas (LIP), University of Coimbra, P-3004 516 Coimbra, Portugal
| | - A Nguyen
- University of Edinburgh, SUPA, School of Physics and Astronomy, Edinburgh EH9 3FD, United Kingdom
| | - J A Nikoleyczik
- University of Wisconsin-Madison, Department of Physics, Madison, Wisconsin 53706-1390, USA
| | - A Nilima
- University of Edinburgh, SUPA, School of Physics and Astronomy, Edinburgh EH9 3FD, United Kingdom
| | - J O'Dell
- STFC Rutherford Appleton Laboratory (RAL), Didcot, OX11 0QX, United Kingdom
| | - F G O'Neill
- SLAC National Accelerator Laboratory, Menlo Park, California 94025-7015, USA
| | - K O'Sullivan
- Lawrence Berkeley National Laboratory (LBNL), Berkeley, California 94720-8099, USA
- University of California, Berkeley, Department of Physics, Berkeley, California 94720-7300, USA
| | - I Olcina
- Lawrence Berkeley National Laboratory (LBNL), Berkeley, California 94720-8099, USA
- University of California, Berkeley, Department of Physics, Berkeley, California 94720-7300, USA
| | - M A Olevitch
- Washington University in St. Louis, Department of Physics, St. Louis, Missouri 63130-4862, USA
| | - K C Oliver-Mallory
- Imperial College London, Physics Department, Blackett Laboratory, London SW7 2AZ, United Kingdom
- Lawrence Berkeley National Laboratory (LBNL), Berkeley, California 94720-8099, USA
- University of California, Berkeley, Department of Physics, Berkeley, California 94720-7300, USA
| | - J Orpwood
- University of Sheffield, Department of Physics and Astronomy, Sheffield S3 7RH, United Kingdom
| | - D Pagenkopf
- University of California, Santa Barbara, Department of Physics, Santa Barbara, California 93106-9530, USA
| | - S Pal
- Laboratório de Instrumentação e Física Experimental de Partículas (LIP), University of Coimbra, P-3004 516 Coimbra, Portugal
| | - K J Palladino
- University of Oxford, Department of Physics, Oxford OX1 3RH, United Kingdom
- University of Wisconsin-Madison, Department of Physics, Madison, Wisconsin 53706-1390, USA
| | - J Palmer
- Royal Holloway, University of London, Department of Physics, Egham, TW20 0EX, United Kingdom
| | - M Pangilinan
- Brown University, Department of Physics, Providence, Rhode Island 02912-9037, USA
| | - N Parveen
- University at Albany (SUNY), Department of Physics, Albany, New York 12222-0100, USA
| | - S J Patton
- Lawrence Berkeley National Laboratory (LBNL), Berkeley, California 94720-8099, USA
| | - E K Pease
- Lawrence Berkeley National Laboratory (LBNL), Berkeley, California 94720-8099, USA
| | - B Penning
- University of Michigan, Randall Laboratory of Physics, Ann Arbor, Michigan 48109-1040, USA
- Brandeis University, Department of Physics, Waltham, Massachusetts 02453, USA
| | - C Pereira
- Laboratório de Instrumentação e Física Experimental de Partículas (LIP), University of Coimbra, P-3004 516 Coimbra, Portugal
| | - G Pereira
- Laboratório de Instrumentação e Física Experimental de Partículas (LIP), University of Coimbra, P-3004 516 Coimbra, Portugal
| | - E Perry
- University College London (UCL), Department of Physics and Astronomy, London WC1E 6BT, United Kingdom
| | - T Pershing
- Lawrence Livermore National Laboratory (LLNL), Livermore, California 94550-9698, USA
| | - I B Peterson
- Lawrence Berkeley National Laboratory (LBNL), Berkeley, California 94720-8099, USA
| | - A Piepke
- University of Alabama, Department of Physics and Astronomy, Tuscaloosa, Alabama 34587-0324, USA
| | - J Podczerwinski
- University of Wisconsin-Madison, Department of Physics, Madison, Wisconsin 53706-1390, USA
| | - D Porzio
- Laboratório de Instrumentação e Física Experimental de Partículas (LIP), University of Coimbra, P-3004 516 Coimbra, Portugal
| | - S Powell
- University of Liverpool, Department of Physics, Liverpool L69 7ZE, United Kingdom
| | - R M Preece
- STFC Rutherford Appleton Laboratory (RAL), Didcot, OX11 0QX, United Kingdom
| | - K Pushkin
- University of Michigan, Randall Laboratory of Physics, Ann Arbor, Michigan 48109-1040, USA
| | - Y Qie
- University of Rochester, Department of Physics and Astronomy, Rochester, New York 14627-0171, USA
| | - B N Ratcliff
- SLAC National Accelerator Laboratory, Menlo Park, California 94025-7015, USA
| | - J Reichenbacher
- South Dakota School of Mines and Technology, Rapid City, South Dakota 57701-3901, USA
| | - L Reichhart
- University College London (UCL), Department of Physics and Astronomy, London WC1E 6BT, United Kingdom
| | - C A Rhyne
- Brown University, Department of Physics, Providence, Rhode Island 02912-9037, USA
| | - A Richards
- Imperial College London, Physics Department, Blackett Laboratory, London SW7 2AZ, United Kingdom
| | - Q Riffard
- Lawrence Berkeley National Laboratory (LBNL), Berkeley, California 94720-8099, USA
- University of California, Berkeley, Department of Physics, Berkeley, California 94720-7300, USA
| | - G R C Rischbieter
- University at Albany (SUNY), Department of Physics, Albany, New York 12222-0100, USA
| | - J P Rodrigues
- Laboratório de Instrumentação e Física Experimental de Partículas (LIP), University of Coimbra, P-3004 516 Coimbra, Portugal
| | - A Rodriguez
- Black Hills State University, School of Natural Sciences, Spearfish, South Dakota 57799-0002, USA
| | - H J Rose
- University of Liverpool, Department of Physics, Liverpool L69 7ZE, United Kingdom
| | - R Rosero
- Brookhaven National Laboratory (BNL), Upton, New York 11973-5000, USA
| | - P Rossiter
- University of Sheffield, Department of Physics and Astronomy, Sheffield S3 7RH, United Kingdom
| | - T Rushton
- University of Sheffield, Department of Physics and Astronomy, Sheffield S3 7RH, United Kingdom
| | - G Rutherford
- Brown University, Department of Physics, Providence, Rhode Island 02912-9037, USA
| | - D Rynders
- South Dakota Science and Technology Authority (SDSTA), Sanford Underground Research Facility, Lead, South Dakota 57754-1700, USA
| | - J S Saba
- Lawrence Berkeley National Laboratory (LBNL), Berkeley, California 94720-8099, USA
| | - D Santone
- Royal Holloway, University of London, Department of Physics, Egham, TW20 0EX, United Kingdom
| | - A B M R Sazzad
- University of Alabama, Department of Physics and Astronomy, Tuscaloosa, Alabama 34587-0324, USA
| | - R W Schnee
- South Dakota School of Mines and Technology, Rapid City, South Dakota 57701-3901, USA
| | - P R Scovell
- University of Oxford, Department of Physics, Oxford OX1 3RH, United Kingdom
- STFC Rutherford Appleton Laboratory (RAL), Didcot, OX11 0QX, United Kingdom
| | - D Seymour
- Brown University, Department of Physics, Providence, Rhode Island 02912-9037, USA
| | - S Shaw
- University of California, Santa Barbara, Department of Physics, Santa Barbara, California 93106-9530, USA
| | - T Shutt
- SLAC National Accelerator Laboratory, Menlo Park, California 94025-7015, USA
- Kavli Institute for Particle Astrophysics and Cosmology, Stanford University, Stanford, California 94305-4085 USA
| | - J J Silk
- University of Maryland, Department of Physics, College Park, Maryland 20742-4111, USA
| | - C Silva
- Laboratório de Instrumentação e Física Experimental de Partículas (LIP), University of Coimbra, P-3004 516 Coimbra, Portugal
| | - G Sinev
- South Dakota School of Mines and Technology, Rapid City, South Dakota 57701-3901, USA
| | - K Skarpaas
- SLAC National Accelerator Laboratory, Menlo Park, California 94025-7015, USA
| | - W Skulski
- University of Rochester, Department of Physics and Astronomy, Rochester, New York 14627-0171, USA
| | - R Smith
- Lawrence Berkeley National Laboratory (LBNL), Berkeley, California 94720-8099, USA
- University of California, Berkeley, Department of Physics, Berkeley, California 94720-7300, USA
| | - M Solmaz
- University of California, Santa Barbara, Department of Physics, Santa Barbara, California 93106-9530, USA
| | - V N Solovov
- Laboratório de Instrumentação e Física Experimental de Partículas (LIP), University of Coimbra, P-3004 516 Coimbra, Portugal
| | - P Sorensen
- Lawrence Berkeley National Laboratory (LBNL), Berkeley, California 94720-8099, USA
| | - J Soria
- Lawrence Berkeley National Laboratory (LBNL), Berkeley, California 94720-8099, USA
- University of California, Berkeley, Department of Physics, Berkeley, California 94720-7300, USA
| | - I Stancu
- University of Alabama, Department of Physics and Astronomy, Tuscaloosa, Alabama 34587-0324, USA
| | - M R Stark
- South Dakota School of Mines and Technology, Rapid City, South Dakota 57701-3901, USA
| | - A Stevens
- University of Oxford, Department of Physics, Oxford OX1 3RH, United Kingdom
- University College London (UCL), Department of Physics and Astronomy, London WC1E 6BT, United Kingdom
- Imperial College London, Physics Department, Blackett Laboratory, London SW7 2AZ, United Kingdom
| | - T M Stiegler
- Texas A&M University, Department of Physics and Astronomy, College Station, Texas 77843-4242, USA
| | - K Stifter
- SLAC National Accelerator Laboratory, Menlo Park, California 94025-7015, USA
- Kavli Institute for Particle Astrophysics and Cosmology, Stanford University, Stanford, California 94305-4085 USA
- Fermi National Accelerator Laboratory (FNAL), Batavia, Illinois 60510-5011, USA
| | - R Studley
- Brandeis University, Department of Physics, Waltham, Massachusetts 02453, USA
| | - B Suerfu
- Lawrence Berkeley National Laboratory (LBNL), Berkeley, California 94720-8099, USA
- University of California, Berkeley, Department of Physics, Berkeley, California 94720-7300, USA
| | - T J Sumner
- Imperial College London, Physics Department, Blackett Laboratory, London SW7 2AZ, United Kingdom
| | - P Sutcliffe
- University of Liverpool, Department of Physics, Liverpool L69 7ZE, United Kingdom
| | - N Swanson
- Brown University, Department of Physics, Providence, Rhode Island 02912-9037, USA
| | - M Szydagis
- University at Albany (SUNY), Department of Physics, Albany, New York 12222-0100, USA
| | - M Tan
- University of Oxford, Department of Physics, Oxford OX1 3RH, United Kingdom
| | - D J Taylor
- South Dakota Science and Technology Authority (SDSTA), Sanford Underground Research Facility, Lead, South Dakota 57754-1700, USA
| | - R Taylor
- Imperial College London, Physics Department, Blackett Laboratory, London SW7 2AZ, United Kingdom
| | - W C Taylor
- Brown University, Department of Physics, Providence, Rhode Island 02912-9037, USA
| | - D J Temples
- Northwestern University, Department of Physics & Astronomy, Evanston, Illinois 60208-3112, USA
| | - B P Tennyson
- Yale University, Department of Physics, New Haven, Connecticut 06511-8499, USA
| | - P A Terman
- Texas A&M University, Department of Physics and Astronomy, College Station, Texas 77843-4242, USA
| | - K J Thomas
- Lawrence Berkeley National Laboratory (LBNL), Berkeley, California 94720-8099, USA
| | - D R Tiedt
- University of Maryland, Department of Physics, College Park, Maryland 20742-4111, USA
- South Dakota Science and Technology Authority (SDSTA), Sanford Underground Research Facility, Lead, South Dakota 57754-1700, USA
- South Dakota School of Mines and Technology, Rapid City, South Dakota 57701-3901, USA
| | - M Timalsina
- South Dakota School of Mines and Technology, Rapid City, South Dakota 57701-3901, USA
| | - W H To
- SLAC National Accelerator Laboratory, Menlo Park, California 94025-7015, USA
- Kavli Institute for Particle Astrophysics and Cosmology, Stanford University, Stanford, California 94305-4085 USA
| | - A Tomás
- Imperial College London, Physics Department, Blackett Laboratory, London SW7 2AZ, United Kingdom
| | - Z Tong
- Imperial College London, Physics Department, Blackett Laboratory, London SW7 2AZ, United Kingdom
| | - D R Tovey
- University of Sheffield, Department of Physics and Astronomy, Sheffield S3 7RH, United Kingdom
| | - J Tranter
- University of Sheffield, Department of Physics and Astronomy, Sheffield S3 7RH, United Kingdom
| | - M Trask
- University of California, Santa Barbara, Department of Physics, Santa Barbara, California 93106-9530, USA
| | - M Tripathi
- University of California, Davis, Department of Physics, Davis, California 95616-5270, USA
| | - D R Tronstad
- South Dakota School of Mines and Technology, Rapid City, South Dakota 57701-3901, USA
| | - C E Tull
- Lawrence Berkeley National Laboratory (LBNL), Berkeley, California 94720-8099, USA
| | - W Turner
- University of Liverpool, Department of Physics, Liverpool L69 7ZE, United Kingdom
| | - L Tvrznikova
- University of California, Berkeley, Department of Physics, Berkeley, California 94720-7300, USA
- Yale University, Department of Physics, New Haven, Connecticut 06511-8499, USA
- Lawrence Livermore National Laboratory (LLNL), Livermore, California 94550-9698, USA
| | - U Utku
- University College London (UCL), Department of Physics and Astronomy, London WC1E 6BT, United Kingdom
| | - J Va'vra
- SLAC National Accelerator Laboratory, Menlo Park, California 94025-7015, USA
| | - A Vacheret
- Imperial College London, Physics Department, Blackett Laboratory, London SW7 2AZ, United Kingdom
| | - A C Vaitkus
- Brown University, Department of Physics, Providence, Rhode Island 02912-9037, USA
| | - J R Verbus
- Brown University, Department of Physics, Providence, Rhode Island 02912-9037, USA
| | - E Voirin
- Fermi National Accelerator Laboratory (FNAL), Batavia, Illinois 60510-5011, USA
| | - W L Waldron
- Lawrence Berkeley National Laboratory (LBNL), Berkeley, California 94720-8099, USA
| | - A Wang
- SLAC National Accelerator Laboratory, Menlo Park, California 94025-7015, USA
- Kavli Institute for Particle Astrophysics and Cosmology, Stanford University, Stanford, California 94305-4085 USA
| | - B Wang
- University of Alabama, Department of Physics and Astronomy, Tuscaloosa, Alabama 34587-0324, USA
| | - J J Wang
- University of Alabama, Department of Physics and Astronomy, Tuscaloosa, Alabama 34587-0324, USA
| | - W Wang
- University of Wisconsin-Madison, Department of Physics, Madison, Wisconsin 53706-1390, USA
- University of Massachusetts, Department of Physics, Amherst, Massachusetts 01003-9337, USA
| | - Y Wang
- Lawrence Berkeley National Laboratory (LBNL), Berkeley, California 94720-8099, USA
- University of California, Berkeley, Department of Physics, Berkeley, California 94720-7300, USA
| | - J R Watson
- Lawrence Berkeley National Laboratory (LBNL), Berkeley, California 94720-8099, USA
- University of California, Berkeley, Department of Physics, Berkeley, California 94720-7300, USA
| | - R C Webb
- Texas A&M University, Department of Physics and Astronomy, College Station, Texas 77843-4242, USA
| | - A White
- Brown University, Department of Physics, Providence, Rhode Island 02912-9037, USA
| | - D T White
- University of California, Santa Barbara, Department of Physics, Santa Barbara, California 93106-9530, USA
| | - J T White
- Texas A&M University, Department of Physics and Astronomy, College Station, Texas 77843-4242, USA
| | - R G White
- SLAC National Accelerator Laboratory, Menlo Park, California 94025-7015, USA
- Kavli Institute for Particle Astrophysics and Cosmology, Stanford University, Stanford, California 94305-4085 USA
| | - T J Whitis
- SLAC National Accelerator Laboratory, Menlo Park, California 94025-7015, USA
- University of California, Santa Barbara, Department of Physics, Santa Barbara, California 93106-9530, USA
| | - M Williams
- University of Michigan, Randall Laboratory of Physics, Ann Arbor, Michigan 48109-1040, USA
- Brandeis University, Department of Physics, Waltham, Massachusetts 02453, USA
| | - W J Wisniewski
- SLAC National Accelerator Laboratory, Menlo Park, California 94025-7015, USA
| | - M S Witherell
- Lawrence Berkeley National Laboratory (LBNL), Berkeley, California 94720-8099, USA
- University of California, Berkeley, Department of Physics, Berkeley, California 94720-7300, USA
| | - F L H Wolfs
- University of Rochester, Department of Physics and Astronomy, Rochester, New York 14627-0171, USA
| | - J D Wolfs
- University of Rochester, Department of Physics and Astronomy, Rochester, New York 14627-0171, USA
| | - S Woodford
- University of Liverpool, Department of Physics, Liverpool L69 7ZE, United Kingdom
| | - D Woodward
- Pennsylvania State University, Department of Physics, University Park, Pennsylvania 16802-6300, USA
| | - S D Worm
- STFC Rutherford Appleton Laboratory (RAL), Didcot, OX11 0QX, United Kingdom
| | - C J Wright
- Brookhaven National Laboratory (BNL), Upton, New York 11973-5000, USA
| | - Q Xia
- Lawrence Berkeley National Laboratory (LBNL), Berkeley, California 94720-8099, USA
| | - X Xiang
- Brown University, Department of Physics, Providence, Rhode Island 02912-9037, USA
- Brookhaven National Laboratory (BNL), Upton, New York 11973-5000, USA
| | - Q Xiao
- University of Wisconsin-Madison, Department of Physics, Madison, Wisconsin 53706-1390, USA
| | - J Xu
- Lawrence Livermore National Laboratory (LLNL), Livermore, California 94550-9698, USA
| | - M Yeh
- Brookhaven National Laboratory (BNL), Upton, New York 11973-5000, USA
| | - J Yin
- University of Rochester, Department of Physics and Astronomy, Rochester, New York 14627-0171, USA
| | - I Young
- Fermi National Accelerator Laboratory (FNAL), Batavia, Illinois 60510-5011, USA
| | - P Zarzhitsky
- University of Alabama, Department of Physics and Astronomy, Tuscaloosa, Alabama 34587-0324, USA
| | - A Zuckerman
- Brown University, Department of Physics, Providence, Rhode Island 02912-9037, USA
| | - E A Zweig
- University of Califonia, Los Angeles, Department of Physics and Astronomy, Los Angeles, California 90095-1547
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Zhang X, Chen Y, Li Z, Shang J, Yuan Z, Deng W, Luo Y, Han N, Yin P, Yin J. [Analysis of therapeutic mechanism of Liushen Wan against colitis-associated colorectal cancer based on network pharmacology and validation in mice]. Nan Fang Yi Ke Da Xue Xue Bao 2023; 43:1051-1062. [PMID: 37488787 PMCID: PMC10366510 DOI: 10.12122/j.issn.1673-4254.2023.07.01] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [Subscribe] [Scholar Register] [Indexed: 07/26/2023]
Abstract
OBJECTIVE To explore the therapeutic mechanism of Liushen Wan (LSW) against colitis-associated colorectal cancer (CAC) by network pharmacology. METHODS TCMSP, BATMAN-TCM, CNKI, PubMed, Genecards, OMIM, and TTD databases were used to obtain the related targets of LSW and CAC. The common targets of LSW and CAC were obtained using Venny online website. The PPI network was constructed using Cytoscape 3.8.2 to screen the core targets of LSW in the treatment of CAC. GO and KEGG enrichment analysis were conducted using DAVID database. The therapeutic effect of LSW on CAC was evaluated in a C57BL/6J mouse model of AOM/DSS-induced CAC by observing the changes in body weight, disease activity index, colon length, and size and number of the tumor. HE staining and RT-qPCR were used to analyze the effect of LSW on inflammatory mediators. Immunohistochemistry and TUNEL staining were used to evaluate the effect of LSW on the proliferation and apoptosis of AOM/DSS-treated colon tumor cells. Immunohistochemistry and Western blotting were used to detect the effects of LSW on the expression of TLR4 proteins in CAC mice. RESULTS Network pharmacology analysis identified 69 common targets of LSW and CAC, and 33 hub targets were screened in the PPI network. KEGG pathway enrichment analysis suggested that the effect of LSW on CAC was mediated by the Toll-like receptor signaling pathway. In the mouse model of AOM/DSS-induced CAC, LSW significantly inhibited colitis-associated tumorigenesis, reduced tumor number and tumor load (P < 0.05), obviously improved histopathological changes in the colon, downregulated the mRNA levels of proinflammatory cytokines, and inhibited the proliferation (P < 0.01) and promoted apoptosis of colon tumor cells (P < 0.001). LSW also significantly decreased TLR4 protein expression in the colon tissue (P < 0.05). CONCLUSION LSW can inhibit CAC in mice possibly by regulating the expression of TLR4 to reduce intestinal inflammation, inhibit colon tumor cell proliferation and promote their apoptosis.
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Affiliation(s)
- X Zhang
- School of Traditional Chinese Medicine, Shengyang Pharmaceutical University, Benxi 117004, China
- Interventional Cancer Institute of Chinese Integrative Medicine, Shanghai Institute of Traditional Chinese Medicine, Shanghai University of Traditional Chinese Medicine, Shanghai 200062, China
| | - Y Chen
- School of Traditional Chinese Medicine, Shengyang Pharmaceutical University, Benxi 117004, China
- Interventional Cancer Institute of Chinese Integrative Medicine, Shanghai Institute of Traditional Chinese Medicine, Shanghai University of Traditional Chinese Medicine, Shanghai 200062, China
| | - Z Li
- Department of General Surgery, Putuo Hospital, Shanghai University of Traditional Chinese Medicine, Shanghai 200062, China
- Interventional Cancer Institute of Chinese Integrative Medicine, Shanghai Institute of Traditional Chinese Medicine, Shanghai University of Traditional Chinese Medicine, Shanghai 200062, China
| | - J Shang
- Department of General Surgery, Putuo Hospital, Shanghai University of Traditional Chinese Medicine, Shanghai 200062, China
- Interventional Cancer Institute of Chinese Integrative Medicine, Shanghai Institute of Traditional Chinese Medicine, Shanghai University of Traditional Chinese Medicine, Shanghai 200062, China
| | - Z Yuan
- Interventional Cancer Institute of Chinese Integrative Medicine, Shanghai Institute of Traditional Chinese Medicine, Shanghai University of Traditional Chinese Medicine, Shanghai 200062, China
| | - W Deng
- Interventional Cancer Institute of Chinese Integrative Medicine, Shanghai Institute of Traditional Chinese Medicine, Shanghai University of Traditional Chinese Medicine, Shanghai 200062, China
| | - Y Luo
- Clinical Laboratory, Shanghai Changning Maternity and Infant Health Hospital, Shanghai 200000, China
| | - N Han
- School of Traditional Chinese Medicine, Shengyang Pharmaceutical University, Benxi 117004, China
| | - P Yin
- Department of General Surgery, Putuo Hospital, Shanghai University of Traditional Chinese Medicine, Shanghai 200062, China
- Interventional Cancer Institute of Chinese Integrative Medicine, Shanghai Institute of Traditional Chinese Medicine, Shanghai University of Traditional Chinese Medicine, Shanghai 200062, China
| | - J Yin
- School of Traditional Chinese Medicine, Shengyang Pharmaceutical University, Benxi 117004, China
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Yuan T, Ren W, Wang Z, Fry EL, Tang S, Yin J, Zhang J, Jia Z. How does the pattern of root metabolites regulating beneficial microorganisms change with different grazing pressures? Front Plant Sci 2023; 14:1180576. [PMID: 37484473 PMCID: PMC10361787 DOI: 10.3389/fpls.2023.1180576] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [Grants] [Track Full Text] [Figures] [Subscribe] [Scholar Register] [Received: 03/06/2023] [Accepted: 06/08/2023] [Indexed: 07/25/2023]
Abstract
Grazing disturbance can change the structure of plant rhizosphere microbial communities and thereby alter the feedback to promote plant growth or induce plant defenses. However, little is known about how such changes occur and vary under different grazing pressures or the roles of root metabolites in altering the composition of rhizosphere microbial communities. In this study, the effects of different grazing pressures on the composition of microbial communities were investigated, and the mechanisms by which different grazing pressures changed rhizosphere microbiomes were explored with metabolomics. Grazing changed composition, functions, and co-expression networks of microbial communities. Under light grazing (LG), some saprophytic fungi, such as Lentinus sp., Ramichloridium sp., Ascobolus sp. and Hyphoderma sp., were significantly enriched, whereas under heavy grazing (HG), potentially beneficial rhizobacteria, such as Stenotrophomonas sp., Microbacterium sp., and Lysobacter sp., were significantly enriched. The beneficial mycorrhizal fungus Schizothecium sp. was significantly enriched in both LG and HG. Moreover, all enriched beneficial microorganisms were positively correlated with root metabolites, including amino acids (AAs), short-chain organic acids (SCOAs), and alkaloids. This suggests that these significantly enriched rhizosphere microbial changes may be caused by these differential root metabolites. Under LG, it is inferred that root metabolites, especially AAs such as L-Histidine, may regulate specific saprophytic fungi to participate in material transformations and the energy cycle and promote plant growth. Furthermore, to help alleviate the stress of HG and improve plant defenses, it is inferred that the root system actively regulates the synthesis of these root metabolites such as AAs, SCOAs, and alkaloids under grazing interference, and then secretes them to promote the growth of some specific plant growth-promoting rhizobacteria and fungi. To summarize, grasses can regulate beneficial microorganisms by changing root metabolites composition, and the response strategies vary under different grazing pressure in typical grassland ecosystems.
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Affiliation(s)
- Ting Yuan
- Inner Mongolia Key Laboratory of Grassland Ecology, School of Ecology and Environment, Inner Mongolia University, Hohhot, China
| | - Weibo Ren
- Inner Mongolia Key Laboratory of Grassland Ecology, School of Ecology and Environment, Inner Mongolia University, Hohhot, China
| | - Zhaoming Wang
- Key Laboratory of Forage Breeding and Seed Production of Inner Mongolia, Inner Mongolia M-Grass Ecology and Environment (Group) Co., Ltd., Hohhot, China
| | - Ellen L. Fry
- Department of Biology, Edge Hill University, Ormskirk, United Kingdom
| | - Shiming Tang
- Key Laboratory of Model Innovation in Forage Production Efficiency, Institute of Grassland Research, Chinese Academy of Agricultural Sciences, Hohhot, China
| | - Jingjing Yin
- Inner Mongolia Key Laboratory of Grassland Ecology, School of Ecology and Environment, Inner Mongolia University, Hohhot, China
| | - Jiatao Zhang
- Inner Mongolia Key Laboratory of Grassland Ecology, School of Ecology and Environment, Inner Mongolia University, Hohhot, China
| | - Zhenyu Jia
- Key Laboratory of Forage Breeding and Seed Production of Inner Mongolia, Inner Mongolia M-Grass Ecology and Environment (Group) Co., Ltd., Hohhot, China
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Wang W, Liu S, Lu F, Yang B, Zhuang X, Yin J, Chen G, Sun C. STAT4, a potential predictor of prognosis, promotes CD8 T‑cell infiltration in ovarian serous carcinoma by inducing CCL5 secretion. Oncol Rep 2023; 50:140. [PMID: 37264954 DOI: 10.3892/or.2023.8577] [Citation(s) in RCA: 1] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 10/27/2022] [Accepted: 04/20/2023] [Indexed: 06/03/2023] Open
Abstract
Ovarian serous carcinoma (OC) is a common cause of mortality among gynecological malignancies. Although tumor‑infiltrating CD8 T cells are associated with a favorable prognosis of OC, the underlying mechanisms are not clearly understood. The present study identified the key genes and potential molecular mechanisms associated with CD8 T‑cell infiltration in OC. The score of CD8 T cells in The Cancer Genome Atlas dataset (376 samples from patients with OC) was estimated using the quanTIseq and MCP‑counter algorithms. Thereafter, a protein‑protein interaction network of differentially expressed genes was constructed and the hub genes were identified using cytoHubba in Cytoscape. The results revealed that signal transducer and activator of transcription 4 (STAT4) was strongly correlated with CD8 T‑cell infiltration in OC. Furthermore, the prognostic value of STAT4 in OC was verified by Kaplan‑Meier curve, and univariate and multivariate analyses. The biological functions of STAT4 were determined by Gene Ontology and Kyoto Encyclopedia of Genes and Genomes pathway analyses, which revealed that STAT4 is closely related to cytokines in OC. Moreover, Spearman correlation analysis suggested that STAT4 was most positively correlated with CC chemokine ligand 5 (CCL5). CCL5 was revealed to be critical for orchestrating T‑cell infiltration in tumors. Moreover, immunohistochemistry and reverse transcription‑quantitative PCR showed that STAT4, CCL5 and CD8A (a marker for CD8 T cells) were closely related in OC. Moreover, in vitro analysis revealed that STAT4 knockdown led to a decrease in CCL5 expression and CD8 T‑cell migration. Taken together, the present study suggested that STAT4 may regulate CD8 T‑cell infiltration in OC tissues by inducing CCL5 secretion. Furthermore, STAT4 may be considered a promising prognostic biomarker for OC.
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Affiliation(s)
- Wei Wang
- Department of Obstetrics and Gynecology, Tongji Hospital, Tongji Medical College, Huazhong University of Science and Technology, Wuhan, Hubei 430030, P.R. China
| | - Si Liu
- Department of Obstetrics and Gynecology, Tongji Hospital, Tongji Medical College, Huazhong University of Science and Technology, Wuhan, Hubei 430030, P.R. China
| | - Funian Lu
- Department of Obstetrics and Gynecology, Tongji Hospital, Tongji Medical College, Huazhong University of Science and Technology, Wuhan, Hubei 430030, P.R. China
| | - Bin Yang
- Department of Obstetrics and Gynecology, Tongji Hospital, Tongji Medical College, Huazhong University of Science and Technology, Wuhan, Hubei 430030, P.R. China
| | - Xucui Zhuang
- Department of Obstetrics and Gynecology, Tongji Hospital, Tongji Medical College, Huazhong University of Science and Technology, Wuhan, Hubei 430030, P.R. China
| | - Jingjing Yin
- Department of Obstetrics and Gynecology, Tongji Hospital, Tongji Medical College, Huazhong University of Science and Technology, Wuhan, Hubei 430030, P.R. China
| | - Gang Chen
- Department of Obstetrics and Gynecology, Tongji Hospital, Tongji Medical College, Huazhong University of Science and Technology, Wuhan, Hubei 430030, P.R. China
| | - Chaoyang Sun
- Department of Obstetrics and Gynecology, Tongji Hospital, Tongji Medical College, Huazhong University of Science and Technology, Wuhan, Hubei 430030, P.R. China
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Wu PF, Zhang K, Tian L, Yin J, Wei JS, Xi CH, Chen JM, Guo F, Lu ZP, Miao Y, Jiang KR. [Clinical value of lymph node dissection of No. 14cd during pancreaticoduodenectomy in patients with pancreatic head carcinoma]. Zhonghua Wai Ke Za Zhi 2023; 61:582-589. [PMID: 37402687 DOI: 10.3760/cma.j.cn112139-20230221-00077] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Grants] [Subscribe] [Scholar Register] [Indexed: 07/06/2023]
Abstract
Objectives: To evaluate the positive rate of left posterior lymph nodes of the superior mesenteric artery (14cd-LN) in patients undergoing pancreaticoduodenectomy for pancreatic head carcinoma,to analyze the impact of 14cd-LN dissection on lymph node staging and tumor TNM staging. Methods: The clinical and pathological data of 103 consecutive patients with pancreatic cancer who underwent pancreaticoduodenectomy at Pancreatic Center,the First Affiliated Hospital of Nanjing Medical University from January to December 2022 were analyzed,retrospectively. There were 69 males and 34 females,with an age(M (IQR))of 63.0 (14.0) years (range:48.0 to 86.0 years). The χ2 test and Fisher's exact probability method was used for comparison of the count data between the groups,respectively. The rank sum test was used for comparison of the measurement data between groups. Univariate and multivariate Logistic regression analyzes were used for the analysis of risk factors. Results: All 103 patients underwent pancreaticoduodenectomy successfully using the left-sided uncinate process and the artery first approach. Pathological examination showed pancreatic ductal adenocarcinoma in all cases. The location of the tumors was the pancreatic head in 40 cases,pancreatic head-uncinate in 45 cases,and pancreatic head-neck in 18 cases. Of the 103 patients,38 cases had moderately differentiated tumor and 65 cases had poorly differentiated tumor. The diameter of the lesions was 3.2 (0.8) cm (range:1.7 to 6.5 cm),the number of lymph nodes harvested was 25 (10) (range:11 to 53),and the number of positive lymph nodes was 1 (3) (range:0 to 40). The lymph node stage was stage N0 in 35 cases (34.0%),stage N1 in 43 cases (41.7%),and stage N2 in 25 cases (24.3%). TNM staging was stage ⅠA in 5 cases (4.9%),stage ⅠB in 19 cases (18.4%),stage ⅡA in 2 cases (1.9%),stage ⅡB in 38 cases (36.9%),stage Ⅲ in 38 cases (36.9%),and stage Ⅳ in 1 case (1.0%). In 103 patients with pancreatic head cancer,the overall positivity rate for 14cd-LN was 31.1% (32/103),and the positive rates for 14c-LN and 14d-LN were 21.4% (22/103) and 18.4% (19/103),respectively. 14cd-LN dissection increased the number of lymph nodes (P<0.01) and positive lymph nodes (P<0.01). As a result of the 14cd-LN dissection,the lymph node stage was changed in 6 patients,including 5 patients changed from N0 to N1 and 1 patient changed from N1 to N2. Similarly,the TNM stage was changed in 5 patients,including 2 patients changed from stage ⅠB to ⅡB,2 patients changed from stage ⅡA to ⅡB,and 1 patient changed from stage ⅡB to Ⅲ. Tumors located in the pancreatic head-uncinate (OR=3.43,95%CI:1.08 to 10.93,P=0.037) and the positivity of 7,8,9,12 LN (OR=5.45,95%CI:1.45 to 20.44,P=0.012) were independent risk factors for 14c-LN metastasis; while tumors with diameter >3 cm (OR=3.93,95%CI:1.08 to 14.33,P=0.038) and the positivity of 7,8,9,12 LN (OR=11.09,95%CI:2.69 to 45.80,P=0.001) were independent risk factors for 14d-LN metastasis. Conclusion: Due to its high positive rate in pancreatic head cancer,dissection of 14cd-LN during pancreaticoduodenectomy should be recommended,which can increase the number of lymph nodes harvested,provide a more accurate lymph node staging and TNM staging.
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Affiliation(s)
- P F Wu
- Pancreas Center,the First Affiliated Hospital of Nanjing Medical University,Jiangsu Province Hospital,Pancreas Institute of Nanjing Medical University,Nanjing 210029,China
| | - K Zhang
- Pancreas Center,the First Affiliated Hospital of Nanjing Medical University,Jiangsu Province Hospital,Pancreas Institute of Nanjing Medical University,Nanjing 210029,China
| | - L Tian
- Pancreas Center,the First Affiliated Hospital of Nanjing Medical University,Jiangsu Province Hospital,Pancreas Institute of Nanjing Medical University,Nanjing 210029,China
| | - J Yin
- Pancreas Center,the First Affiliated Hospital of Nanjing Medical University,Jiangsu Province Hospital,Pancreas Institute of Nanjing Medical University,Nanjing 210029,China
| | - J S Wei
- Pancreas Center,the First Affiliated Hospital of Nanjing Medical University,Jiangsu Province Hospital,Pancreas Institute of Nanjing Medical University,Nanjing 210029,China
| | - C H Xi
- Pancreas Center,the First Affiliated Hospital of Nanjing Medical University,Jiangsu Province Hospital,Pancreas Institute of Nanjing Medical University,Nanjing 210029,China
| | - J M Chen
- Pancreas Center,the First Affiliated Hospital of Nanjing Medical University,Jiangsu Province Hospital,Pancreas Institute of Nanjing Medical University,Nanjing 210029,China
| | - F Guo
- Pancreas Center,the First Affiliated Hospital of Nanjing Medical University,Jiangsu Province Hospital,Pancreas Institute of Nanjing Medical University,Nanjing 210029,China
| | - Z P Lu
- Pancreas Center,the First Affiliated Hospital of Nanjing Medical University,Jiangsu Province Hospital,Pancreas Institute of Nanjing Medical University,Nanjing 210029,China
| | - Y Miao
- Pancreas Center,the First Affiliated Hospital of Nanjing Medical University,Jiangsu Province Hospital,Pancreas Institute of Nanjing Medical University,Nanjing 210029,China
| | - K R Jiang
- Pancreas Center,the First Affiliated Hospital of Nanjing Medical University,Jiangsu Province Hospital,Pancreas Institute of Nanjing Medical University,Nanjing 210029,China
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Pan XL, Zhu ZK, Shen T, Jin F, Wang XG, Yin J, Han CM. [Epidemiological characteristics and risk factors of sepsis development and death in patients with extremely severe burns]. Zhonghua Shao Shang Yu Chuang Mian Xiu Fu Za Zhi 2023; 39:558-564. [PMID: 37805772 DOI: 10.3760/cma.j.cn501225-20220806-00336] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [MESH Headings] [Grants] [Subscribe] [Scholar Register] [Indexed: 10/09/2023]
Abstract
Objective: To explore the epidemiological characteristics and risk factors of sepsis development and death in patients with extremely severe burns. Methods: A retrospective case series study was conducted. From January 2017 to December 2021, 135 patients with extremely severe burns who met the inclusion criteria were admitted to the Department of Burn and Wound Repair of the Second Affiliated Hospital of Zhejiang University School of Medicine, including 100 males and 35 females, aged 18-84 years. The incidence and diagnosis time of sepsis, the rate of positive microbial culture of blood samples (hereinafter referred to as positive blood culture), and the mortality rate of all patients, as well as the incidence of sepsis and the pathogen of infection in patients with positive blood culture were recorded (statistically analyzed with chi-square test or Fisher's exact probability test). According to the occurrence of sepsis, all patients were divided into sepsis group (58 cases) and non-sepsis group (77 cases), and the gender, age, body mass index, history of hypertension, history of diabetes, combination of inhalation injury, burn site, burn type, total burn area, and combined injury of patients were compared between the two groups. According to the outcome, all patients were divided into death group (37 cases) and survival group (98 cases), and the aforementioned data grouped according to sepsis as well as the stability of shock period and the combination of sepsis of patients were compared between the two groups. The aforementioned data between two groups were statistically analyzed with univariate analysis of independent sample t test, Wilcoxon rank-sum test, Mann-Whitney U test, chi-square test, or Fisher's exact probability test. Factors with P<0.1 were selected for multivariate logistic regression analysis to screen independent risk factors of sepsis and death in patients with extremely severe burns. Results: Among all patients, the incidence of sepsis was 42.96% (58/135), the diagnosis time of sepsis was 14 (7, 24) d after injury, the positive blood culture rate was 62.22% (84/135), and the mortality rate was 27.41% (37/135). The incidence of sepsis of patients with positive blood culture was 69.05% (58/84). The top 5 pathogenic bacteria in the detection rate of septic patients with positive blood culture were Acinetobacter baumannii, Klebsiella pneumoniae, Pseudomonas aeruginosa, Staphylococcus aureus, and Enterobacter cloacae, ranking from high to low, and the proportion of Acinetobacter baumannii infected was significantly higher than that of non-septic patients with positive blood culture (χ2=7.49, P<0.05). Compared with those in non-sepsis group, the proportion of combination of inhalation injury, the proportion of perineal burns, and the total burn area of patients in sepsis group increased significantly (with χ2 values of 11.08 and 17.47, respectively, Z=5.68, P<0.05), while the other indicators did not change significantly (P>0.05). Multivariate logistic regression analysis showed that combination of inhalation injury, total burn area ≥80% total body surface area (TBSA), and perineal burns were independent risk factors for patients with extremely severe burns developing sepsis (with odds ratios of 3.15, 7.24, and 3.24, respectively, with 95% confidence intervals of 1.07 to 9.29, 1.79 to 29.34, and 1.21 to 8.68, respectively, P<0.05). Compared with those in survival group, the proportion of combination of inhalation injury, the proportion of perineal burns, and the proportion of combination of sepsis (with χ2 values of 6.55, 11.64, and 22.26, respectively, P values all <0.05), total burn area (Z=4.25, P<0.05), and proportion of instability of shock period (P<0.05) of patients in death group all increased significantly, while the other indicators did not change significantly (P>0.05). Multivariate logistic regression analysis showed that the instability of shock period and combination of sepsis were independent risk factors for death of patients with extremely severe burns (with odds ratios of 4.87 and 3.45, respectively, with 95% confidence intervals of 1.21 to 19.57 and 1.28 to 9.33, respectively, P<0.05). Conclusions: Patients with extremely severe burns have a high incidence of sepsis and a high mortality rate. The peak period of sepsis onset is 2 weeks after injury, with Acinetobacter baumannii as the most prominent infectious pathogen. Combination of inhalation injury, total burn area ≥80% TBSA, and perineal burns are independent risk factors for extremely severe burn patients complicated with sepsis, and combination of sepsis and instability of shock period are independent risk factors for death of patients with extremely severe burns.
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Affiliation(s)
- X L Pan
- Department of Burn and Wound Repair, the Second Affiliated Hospital of Zhejiang University School of Medicine, Key Laboratory of the Diagnosis and Treatment of Severe Trauma and Burn of Zhejiang Province, Hangzhou 310009, China
| | - Z K Zhu
- Department of Burn and Wound Repair, the Second Affiliated Hospital of Zhejiang University School of Medicine, Key Laboratory of the Diagnosis and Treatment of Severe Trauma and Burn of Zhejiang Province, Hangzhou 310009, China
| | - T Shen
- Rehabilitation Department of Traditional Chinese Medicine, the Second Affiliated Hospital of Zhejiang University School of Medicine, Hangzhou 310009, China
| | - F Jin
- Department of Burn and Wound Repair, the Second Affiliated Hospital of Zhejiang University School of Medicine, Key Laboratory of the Diagnosis and Treatment of Severe Trauma and Burn of Zhejiang Province, Hangzhou 310009, China
| | - X G Wang
- Department of Burn and Wound Repair, the Second Affiliated Hospital of Zhejiang University School of Medicine, Key Laboratory of the Diagnosis and Treatment of Severe Trauma and Burn of Zhejiang Province, Hangzhou 310009, China
| | - J Yin
- Department of Burn and Wound Repair, the Second Affiliated Hospital of Zhejiang University School of Medicine, Key Laboratory of the Diagnosis and Treatment of Severe Trauma and Burn of Zhejiang Province, Hangzhou 310009, China
| | - C M Han
- Department of Burn and Wound Repair, the Second Affiliated Hospital of Zhejiang University School of Medicine, Key Laboratory of the Diagnosis and Treatment of Severe Trauma and Burn of Zhejiang Province, Hangzhou 310009, China
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Akinso O, Adhikari A, Yin J, Chopak-Foss J, Shah G. Childhood Asthma-Management Practices in Rural Nigeria: Exploring the Knowledge, Attitude, and Practice of Caregivers in Oyo State. Children (Basel) 2023; 10:1043. [PMID: 37371274 DOI: 10.3390/children10061043] [Citation(s) in RCA: 1] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [Track Full Text] [Subscribe] [Scholar Register] [Received: 05/16/2023] [Revised: 06/08/2023] [Accepted: 06/09/2023] [Indexed: 06/29/2023]
Abstract
Background: Caregivers of asthmatic children have a poor knowledge of proper asthma-management practices in Nigeria. This study examined the knowledge, attitudes, and practice behaviors of caregivers in the management of asthma in children under 5 years of age in Oyo State, Nigeria. Methods: While a mixed method was used in the original research, this brief describes the quantitative method used in this study to evaluate caregivers' asthma-management practices. A 55-item questionnaire on childhood asthma knowledge, attitude, and practice was administered during child welfare-clinic visits to 118 caregivers. Data were analyzed using the IBM SPSS Version 25.0. Statistical significance was set at p < 0.05 and 95% CI. Result: More than 70% of caregivers knew that asthma is associated with airway inflammation and about 90% knew that flu infections triggered asthma attacks in their children. Caregivers with a higher income (OR = 3.0; 95% CI = 1.558-5.778; p = 0.001) were 3.0 times more likely to practice proper asthma-care behavior than those with a lesser income. Conclusions: Childhood asthma remains underdiagnosed and undertreated in Nigeria. An optimal public health approach is needed to identify and target underserved communities that suffer poorer asthma outcomes and to improve caregivers' knowledge and practices of asthma management.
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Affiliation(s)
- Oyindamola Akinso
- Department of Public Health, Wingate University, Wingate, NC 28174, USA
- Department of Health Policy and Community Health, Jiann-Ping Hsu College of Public Health, Georgia Southern University, Statesboro, GA 30460, USA
| | - Atin Adhikari
- Department of Biostatistics, Epidemiology, and Environmental Health Sciences, Jiann-Ping Hsu College of Public Health, Georgia Southern University, Statesboro, GA 30460, USA
| | - Jingjing Yin
- Department of Biostatistics, Epidemiology, and Environmental Health Sciences, Jiann-Ping Hsu College of Public Health, Georgia Southern University, Statesboro, GA 30460, USA
| | - Joanne Chopak-Foss
- Department of Health Policy and Community Health, Jiann-Ping Hsu College of Public Health, Georgia Southern University, Statesboro, GA 30460, USA
| | - Gulzar Shah
- Department of Health Policy and Community Health, Jiann-Ping Hsu College of Public Health, Georgia Southern University, Statesboro, GA 30460, USA
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Yin J, Hua J, Zhang X, Tuyishimire A, Yang D. Healthy Eating for All? The Challenge of Adhering to Dietary Guidelines for Low-Income Groups in China. Nutrients 2023; 15:2704. [PMID: 37375608 DOI: 10.3390/nu15122704] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 05/10/2023] [Revised: 05/31/2023] [Accepted: 06/08/2023] [Indexed: 06/29/2023] Open
Abstract
The Chinese Dietary Guidelines propose a balanced diet for healthy living, but the affordability of this diet needs to be considered, especially for low-income households. To investigate the affordability of a healthy diet, this study analyzes the daily retail prices of 46 food items in 36 Chinese cities from 2016 to 2021. This study compares expenditure, diet composition, and nutritional status in two scenarios aligned with the guidelines. The results show that the mean minimum cost of a balanced diet exceeds the current per capita food expenditure for at least 182.85 million urban households. This suggests that low-income people would need to increase their expenditure by at least 20-121% to achieve the recommended diets. This study also identifies affordable and nutrient-dense foods such as standard flour, eggs, black beans, and cabbage, which policymakers should focus on when monitoring food prices. The findings recommend a combination of social and food system policies to reduce prices and make healthy diets accessible. This study identifies the gaps in the Chinese Dietary Guidelines for ensuring accessibility for vulnerable groups and provides a template for policymakers and researchers to track diet affordability using available food price data in China, contributing to China's 2030 Health Plan and the UN's Sustainable Development Goals.
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Affiliation(s)
- Jingjing Yin
- Key Lab of Urban Environment and Health, Fujian Key Laboratory of Watershed Ecology, Institute of Urban Environment, Chinese Academy of Sciences, Xiamen 361021, China
| | - Jingfen Hua
- Key Lab of Urban Environment and Health, Fujian Key Laboratory of Watershed Ecology, Institute of Urban Environment, Chinese Academy of Sciences, Xiamen 361021, China
| | - Xinhuan Zhang
- State Key Laboratory of Desert and Oasis Ecology, Key Laboratory of Ecological Safety and Sustainable Development in Arid Lands, Xinjiang Institute of Ecology and Geography, Chinese Academy of Sciences, Urumqi 830011, China
| | - Alexandre Tuyishimire
- Key Lab of Urban Environment and Health, Fujian Key Laboratory of Watershed Ecology, Institute of Urban Environment, Chinese Academy of Sciences, Xiamen 361021, China
- University of Chinese Academy of Sciences, Beijing 101408, China
| | - Degang Yang
- State Key Laboratory of Desert and Oasis Ecology, Key Laboratory of Ecological Safety and Sustainable Development in Arid Lands, Xinjiang Institute of Ecology and Geography, Chinese Academy of Sciences, Urumqi 830011, China
- University of Chinese Academy of Sciences, Beijing 101408, China
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Ye YL, Hu T, Xu LJ, Zhang LP, Yin J, Yu Q, Pang Z. [The diagnostic and evaluation value of plasma interleukin 9 in the mucosal healing in patients with inflammatory bowel disease treated with biological agents]. Zhonghua Yi Xue Za Zhi 2023; 103:1483-1489. [PMID: 37198111 DOI: 10.3760/cma.j.cn112137-20221009-02110] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Grants] [Subscribe] [Scholar Register] [Indexed: 05/19/2023]
Abstract
Objective: To investigate the diagnostic and evaluation value of plasma interleukin 9 (IL9) in the mucosal healing (MH) in patients with inflammatory bowel disease (IBD) treated with biological agents. Methods: Cohort study. IBD patients (137 cases) treated in the Affiliated Suzhou Hospital to Nanjing Medical University (Suzhou Municipal Hospital) from September 2019 to January 2022 were prospective selected. Each patient was treated with biological agents [Infliximab (IFX, 56 cases), Adalimumab (ADA, 20 cases), Ustekinumab (UST, 18 cases), Vedolizumab (VDZ, 43 cases)]. According to different therapeutic drugs, the IFX, ADA, UST, and VDZ group were divided. Clinical symptoms, inflammatory indicators and imaging examinations etc. were evaluated every 8 weeks, and the degree of MH was evaluated by endoscopy at the 54th week. The expression of plasma IL9 was detected by ELISA after initial enrollment (W 0) and 8 weeks of biological treatment (W 8). Receiver operating characteristic curve (ROC) was used to evaluate the diagnostic efficacy of IL9 for MH. Select the cut off value for the optimal ROC threshold based on the highest value of the Youden index. Spearman's rank correlation was used to analyze the correlation between IL9 and Simple Endoscopic Score for CD (SES-CD) and Mayo Endoscopic Score (MES), so as to evaluate the predictive value of IL9 for MH in IBD patients treated with biologic agents. Results: Among the 137 patients, there were 97 Crohn's disease (CD) patients, 53 males and 44 females, aged (31.6±10.3) years (18-60 years). There were 40 ulcerative colitis (UC) patients, 22 males and 18 females, aged (37.5±14.7) years (18-67 years). Among the CD patients, 42 cases (43.3%) achieved MH on endoscopy at the 54th week, and 60 patients (61.9%) achieved clinical remission. Among the UC patients, 22 cases (55.0%) achieved MH and 30 cases (75.0%) achieved clinical remission. At W 0, the relative expression of IL9 in patients in IBD patients who achieved MH after 54 weeks of biological treatment was lower than that in the non-MH patients [x¯±s, (127.42±34.43) vs (146.82±45.64) ng/L, (113.01±44.88) vs (146.12±48.66) ng/L, respectively, both P<0.05]. At W 8, the relative expression of IL9 in the MH group was lower than that in the non-MH patients (both P<0.05). The relative expression of IL9 in the MH patients after IFX treatment was lower than that in the non-MH group (P<0.05). There was no significant difference among the other groups between MH and non-MH patients (all P>0.05). IL9 at W 8 showed high value in predicting MH in IBD [CD patients: area under curve (AUC)=0.716(95%CI: 0.616-0.817, P<0.001), sensitivity and specificity were 80.77%(95%CI:67.64%-88.45%) and 48.89%(95%CI: 35.53%-64.47%), respectively; UC patients: AUC=0.821, sensitivity and specificity were 77.78% and 72.73%, respectively]. At W 8, the cut off values for CD and UC patients were IL9>80.77 ng/L and IL9>77.78 ng/L, respectively. IL9 was positively correlated with endoscopic MH score parameters [M(Q1,Q3),SES-CD: 3.0(8.5, 18.5); MES: 2.0(1.0, 3.0)] (r=0.55, 0.72, respectively, both P<0.001) at W8. Conclusion: The plasma IL-9 at the week 8 after biological agents treatment can be used to diagnose and evaluate the MH of patients with IBD.
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Affiliation(s)
- Y L Ye
- Department of Gastroenterology, the Affiliated Suzhou Hospital of Nanjing Medical University (Suzhou Municipal Hospital), Suzhou 215008, China
| | - T Hu
- Department of Gastroenterology, the Affiliated Suzhou Hospital of Nanjing Medical University (Suzhou Municipal Hospital), Suzhou 215008, China
| | - L J Xu
- Department of Gastroenterology, the Affiliated Suzhou Hospital of Nanjing Medical University (Suzhou Municipal Hospital), Suzhou 215008, China
| | - L P Zhang
- Department of Gastroenterology, the Affiliated Suzhou Hospital of Nanjing Medical University (Suzhou Municipal Hospital), Suzhou 215008, China
| | - J Yin
- Department of Gastroenterology, the Affiliated Suzhou Hospital of Nanjing Medical University (Suzhou Municipal Hospital), Suzhou 215008, China
| | - Q Yu
- Department of Gastroenterology, the Affiliated Suzhou Hospital of Nanjing Medical University (Suzhou Municipal Hospital), Suzhou 215008, China
| | - Z Pang
- Department of Gastroenterology, the Affiliated Suzhou Hospital of Nanjing Medical University (Suzhou Municipal Hospital), Suzhou 215008, China
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Zhang CN, Liu XY, Li Q, Song YZ, Liu B, Yin J, Yang JH, Zhong L, Sun L, Zhang X, Chen W. [Assessment of the diagnostic value and prognosis of different detection markers in endocervical adenocarcinoma]. Zhonghua Zhong Liu Za Zhi 2023; 45:402-409. [PMID: 37188625 DOI: 10.3760/cma.j.cn112152-20220705-00473] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [Grants] [Subscribe] [Scholar Register] [Indexed: 05/17/2023]
Abstract
Objective: To study the diagnostic value of different detection markers in histological categories of endocervical adenocarcinoma (ECA), and their assessment of patient prognosis. Methods: A retrospective study of 54 patients with ECA in the Cancer Hospital, Chinese Academy of Medical Sciences from 2005-2010 were performed. The cases of ECA were classified into two categories, namely human papillomavirus-associated adenocarcinoma (HPVA) and non-human papillomavirus-associated adenocarcinoma (NHPVA), based on the 2018 international endocervical adenocarcinoma criteria and classification (IECC). To detect HR-HPV DNA and HR-HPV E6/E7 mRNA in all patients, we used whole tissue section PCR (WTS-PCR) and HPV E6/E7 mRNA in situ hybridization (ISH) techniques, respectively. Additionally, we performed Laser microdissection PCR (LCM-PCR) on 15 randomly selected HR-HPV DNA-positive cases to confirm the accuracy of the above two assays in identifying ECA lesions. Receiver operating characteristic (ROC) curves were used to analyze the efficacy of markers to identify HPVA and NHPVA. Univariate and multifactorial Cox proportional risk model regression analyses were performed for factors influencing ECA patients' prognoses. Results: Of the 54 patients with ECA, 30 were HPVA and 24 were NHPVA. A total of 96.7% (29/30) of HPVA patients were positive for HR-HPV DNA and 63.3% (19/30) for HR-HPV E6/E7 mRNA, and 33.3% (8/24) of NHPVA patients were positive for HR-HPV DNA and HR-HPV E6/E7 mRNA was not detected (0/24), and the differences were statistically significant (P<0.001). LCM-PCR showed that five patients were positive for HR-HPV DNA in the area of glandular epithelial lesions and others were negative, which was in good agreement with the E6/E7 mRNA ISH assay (Kappa=0.842, P=0.001). Analysis of the ROC results showed that the AUC of HR-HPV DNA, HR-HPV E6/E7 mRNA, and p16 to identify HPVA and NHPVA were 0.817, 0.817, and 0.692, respectively, with sensitivities of 96.7%, 63.3%, and 80.0% and specificities of 66.7%, 100.0%, and 58.3%, respectively. HR-HPV DNA identified HPVA and NHPVA with higher AUC than p16 (P=0.044). The difference in survival rates between HR-HPV DNA (WTS-PCR assay) positive and negative patients was not statistically significant (P=0.156), while the difference in survival rates between HR-HPV E6/E7 mRNA positive and negative patients, and p16 positive and negative patients were statistically significant (both P<0.05). Multifactorial Cox regression analysis showed that International Federation of Obstetrics and Gynecology (FIGO) staging (HR=19.875, 95% CI: 1.526-258.833) and parametrial involvement (HR=14.032, 95% CI: 1.281-153.761) were independent factors influencing the prognosis of patients with ECA. Conclusions: HR-HPV E6/E7 mRNA is more reflective of HPV infection in ECA tissue. The efficacy of HR-HPV E6/E7 mRNA and HR-HPV DNA (WTS-PCR assay) in identifying HPVA and NHPVA is similar, with higher sensitivity of HR-HPV DNA and higher specificity of HR-HPV E6/E7 mRNA. HR-HPV DNA is more effective than p16 in identifying HPVA and NHPVA. HPV E6/E7 mRNA and p16 positive ECA patients have better survival rates than negative.
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Affiliation(s)
- C N Zhang
- School of Life Science, Hebei University, Baoding 071002, China
| | - X Y Liu
- Department of Pathology, Peking University, People' Hospital, Beijing 100044, China
| | - Q Li
- Department of Pathology, Beijing Chaoyang Hospital, Capital Medical University, Beijing 100021, China
| | - Y Z Song
- Department of Cancer Epidemiology, National Cancer Center/National Clinical Research Center for Cancer/Cancer Hospital, Chinese Academy of Medical Science and Peking Union Medical College, Beijing 100021, China
| | - B Liu
- Department of Cancer Epidemiology, National Cancer Center/National Clinical Research Center for Cancer/Cancer Hospital, Chinese Academy of Medical Science and Peking Union Medical College, Beijing 100021, China
| | - J Yin
- School of Population Medicine and Public Health, Chinese Academy of Medical Sciences and Peking Union Medical College, Beijing 100730, China
| | - J H Yang
- Department of Gynecology, Mianyang Maternity & Child Healthcare Hospital, Mianyang 621000, China
| | - L Zhong
- School of Life Science, Hebei University, Baoding 071002, China
| | - L Sun
- National Cancer Center/National Clinical Research Center for Cancer/Cancer Hospital & Shenzhen Hospital, Chinese Academy of Medical Sciences and Peking Union Medical College, Shenzhen 518116, China
| | - X Zhang
- Department of Cancer Epidemiology, National Cancer Center/National Clinical Research Center for Cancer/Cancer Hospital, Chinese Academy of Medical Science and Peking Union Medical College, Beijing 100021, China
| | - W Chen
- Department of Cancer Epidemiology, National Cancer Center/National Clinical Research Center for Cancer/Cancer Hospital, Chinese Academy of Medical Science and Peking Union Medical College, Beijing 100021, China
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Yin J, Tian H, Kong DQ, Li Y, Gu CY, Wu DP, Yu ZQ. [A combined regimen based on bortezomib and glucocorticoids for 6 patients with recurrent/refractory immune thrombotic thrombocytopenic purpura]. Zhonghua Xue Ye Xue Za Zhi 2023; 44:413-417. [PMID: 37550192 PMCID: PMC10440622 DOI: 10.3760/cma.j.issn.0253-2727.2023.05.010] [Citation(s) in RCA: 1] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [MESH Headings] [Grants] [Subscribe] [Scholar Register] [Received: 08/22/2022] [Indexed: 08/09/2023]
Abstract
Objective: To observe the efficacy and adverse reactions of a combination therapy regimen based on bortezomib and glucocorticoids in recurrent/refractory immune thrombocytopenic purpura (iTTP) . Methods: Six patients with recurrent/refractory TTP were included and treated with a glucocorticoid and two courses of bortezomib-based regimen. The clinical remission status of patients, changes in ADAMTS13 activity/ADAMTS13 inhibitor, and the occurrence of treatment-related adverse reactions were observed. Results: Of the 6 patients, 2 were males and 4 were females, with a median age of 21.5 (18-68) years. Refractory TTP was found in 1 case and recurrent TTP in 5 cases. Glucocorticoids were administered with reference to prednisone at 1 mg·kg(-1)·d(-1), and gradually reduced in dosage after achieving clinical remission. Bortezomib is subcutaneously administered at 1.3 mg/m(2) on days 1, 4, 8, and 11 with a 28-day treatment course consisting of 2 courses. Six patients achieved clinical remission after receiving bortezomib as the main treatment. ADMATS13 activity returned to normal in all patients with TTP after treatment, and the ADAMTS13 inhibitor turned negative. Thrombocytopenia is the most common adverse reaction after treatment, with other adverse reactions, including peripheral neuritis and abdominal pain, but ultimately all patients returned to normal. In a median follow-up of 26 (9-41) months, 5 patients maintained sustained remission, and 1 patient relapsed after 16 months of bortezomib treatment. Conclusion: Combination therapy of bortezomib and glucocorticoids has a satisfactory therapeutic effect and controllable adverse reactions for recurrent/refractory iTTP.
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Affiliation(s)
- J Yin
- Department of Hematology, The First Affiliated Hospital of Soochow University, National Clinical Research Center for Hematologic Diseases, Jiangsu Institute of Hematology, NHC Key Laboratory of Thrombosis and Hemostasis, Collaborative Innovation Center of Hematology, Soochow University, Suzhou 215006, China
| | - H Tian
- Department of Hematology, The First Affiliated Hospital of Soochow University, National Clinical Research Center for Hematologic Diseases, Jiangsu Institute of Hematology, NHC Key Laboratory of Thrombosis and Hemostasis, Collaborative Innovation Center of Hematology, Soochow University, Suzhou 215006, China
| | - D Q Kong
- Department of Hematology, The First Affiliated Hospital of Soochow University, National Clinical Research Center for Hematologic Diseases, Jiangsu Institute of Hematology, NHC Key Laboratory of Thrombosis and Hemostasis, Collaborative Innovation Center of Hematology, Soochow University, Suzhou 215006, China
| | - Y Li
- Department of Hematology, The First Affiliated Hospital of Soochow University, National Clinical Research Center for Hematologic Diseases, Jiangsu Institute of Hematology, NHC Key Laboratory of Thrombosis and Hemostasis, Collaborative Innovation Center of Hematology, Soochow University, Suzhou 215006, China
| | - C Y Gu
- Department of Hematology, The First Affiliated Hospital of Soochow University, National Clinical Research Center for Hematologic Diseases, Jiangsu Institute of Hematology, NHC Key Laboratory of Thrombosis and Hemostasis, Collaborative Innovation Center of Hematology, Soochow University, Suzhou 215006, China
| | - D P Wu
- Department of Hematology, The First Affiliated Hospital of Soochow University, National Clinical Research Center for Hematologic Diseases, Jiangsu Institute of Hematology, NHC Key Laboratory of Thrombosis and Hemostasis, Collaborative Innovation Center of Hematology, Soochow University, Suzhou 215006, China
| | - Z Q Yu
- Department of Hematology, The First Affiliated Hospital of Soochow University, National Clinical Research Center for Hematologic Diseases, Jiangsu Institute of Hematology, NHC Key Laboratory of Thrombosis and Hemostasis, Collaborative Innovation Center of Hematology, Soochow University, Suzhou 215006, China
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Xiong Y, Xu N, Huang J, Wang J, Wang Z, Jiang H, Tong Y, Yin J, Gong Y, Jiang Q, Zhou Y. [Optimization of the medium and fermentation condition for the Penicillium aurantiocandidum Z12 strain with molluscicidal actions against Oncomelania hupensis]. Zhongguo Xue Xi Chong Bing Fang Zhi Za Zhi 2023; 35:137-146. [PMID: 37253562 DOI: 10.16250/j.32.1374.2023017] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [Grants] [Subscribe] [Scholar Register] [Indexed: 06/01/2023]
Abstract
OBJECTIVE To optimize the culture and fermentation conditions of the Penicillium aurantiocandidum Z12 strain, a fungal strain with molluscicidal actions against Oncomelania hupensis, so as to provide the basis for the research and development of molluscicidal active substances from the P. aurantiocandidum Z12 strain and its fermentation broth and large-scale fermentation. METHODS The carbon source, nitrogen source and mineral salts were identified in the optimal culture medium for the P. aurantiocandidum Z12 strain with a single-factor experiment to determine the best fermentation condition for the P. aurantiocandidum Z12 strain. Factors that significantly affected the growth of the P. aurantiocandidum Z12 strain were identified using the Plackett-Burman design, and the best range of each factor was determined using the steepest climb test. Response surface analyses of temperature, pH value, seeding amount and liquid-filling quantity were performed using the Box-Behnken design to create a regression model for fermentation of the P. aurantiocandidum Z12 strain to identify the optimal culture medium. RESULTS Single-factor experiment preliminarily identified the best culture medium and conditions for the P. aurantiocandidum Z12 strain as follows: sucrose as the carbon source at approximately 20 g/L, tryptone as the nitrogen source at approximately 5 g/L, K2HPO4 as the mineral salt at approximately 5 g/L, initial pH at approximately 8, temperature at approximately 28 °C, seeding amount at approximately 6%, and liquid-filling quantity at approximately 50 mL/100 mL. Plackett-Burman design showed that factors that significantly affected the growth of the P. aurantiocandidum Z12 strain included temperature (t = -5.28, P < 0.05), seeding amount (t = 5.22, P < 0.05), pH (t = -4.30, P < 0.05) and liquid-filling quantity (t = -4.39, P < 0.05). Steepest climb test showed the highest mycelial growth at pH of 7.5, seeding amount of 8%, and liquid-filling quantity of 40 mL/100 mL, and this condition was selected as the central point of response surface analysis for the subsequent optimization of fermentation conditions. Response surface analyses using the Box-Behnken design showed that the optimal conditions for fermentation of the P. aurantiocandidum Z12 strain included sucrose at 15 g/L, tryptone at 5 g/L, K2HPO4 at 5 g/L, temperature at 28.2 °C, pH at 7.5, seeding amount at 10%, and liquid-filling quantity at 35.8 mL/100.0 mL, resulting in 0.132 g yield of the P. aurantiocandidum Z12 strain. CONCLUSIONS The optimal culture condition for the P. aurantiocandidum Z12 strain has been identified, and the optimized culture medium and fermentation condition may effectively improve the fermentation yield of the P. aurantiocandidum Z12 strain.
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Affiliation(s)
- Y Xiong
- Department of Epidemiology, School of Public Health, Fudan University; Key Laboratory of Public Health Safety, Ministry of Education; Tropical Disease Research Center, Fudan University, Shanghai 200032, China
| | - N Xu
- Department of Epidemiology, School of Public Health, Fudan University; Key Laboratory of Public Health Safety, Ministry of Education; Tropical Disease Research Center, Fudan University, Shanghai 200032, China
| | - J Huang
- Department of Epidemiology, School of Public Health, Fudan University; Key Laboratory of Public Health Safety, Ministry of Education; Tropical Disease Research Center, Fudan University, Shanghai 200032, China
| | - J Wang
- Department of Epidemiology, School of Public Health, Fudan University; Key Laboratory of Public Health Safety, Ministry of Education; Tropical Disease Research Center, Fudan University, Shanghai 200032, China
| | - Z Wang
- Department of Epidemiology, School of Public Health, Fudan University; Key Laboratory of Public Health Safety, Ministry of Education; Tropical Disease Research Center, Fudan University, Shanghai 200032, China
| | - H Jiang
- Department of Epidemiology, School of Public Health, Fudan University; Key Laboratory of Public Health Safety, Ministry of Education; Tropical Disease Research Center, Fudan University, Shanghai 200032, China
| | - Y Tong
- Department of Epidemiology, School of Public Health, Fudan University; Key Laboratory of Public Health Safety, Ministry of Education; Tropical Disease Research Center, Fudan University, Shanghai 200032, China
| | - J Yin
- Department of Epidemiology, School of Public Health, Fudan University; Key Laboratory of Public Health Safety, Ministry of Education; Tropical Disease Research Center, Fudan University, Shanghai 200032, China
| | - Y Gong
- Department of Epidemiology, School of Public Health, Fudan University; Key Laboratory of Public Health Safety, Ministry of Education; Tropical Disease Research Center, Fudan University, Shanghai 200032, China
| | - Q Jiang
- Department of Epidemiology, School of Public Health, Fudan University; Key Laboratory of Public Health Safety, Ministry of Education; Tropical Disease Research Center, Fudan University, Shanghai 200032, China
| | - Y Zhou
- Department of Epidemiology, School of Public Health, Fudan University; Key Laboratory of Public Health Safety, Ministry of Education; Tropical Disease Research Center, Fudan University, Shanghai 200032, China
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Yin J, Li Y, Liu J, Li L. The Experiences of Patients with Periodontitis and its Treatment: A Qualitative Study. Community Dent Health 2023. [PMID: 37161863 DOI: 10.1922/cdh_00187yin05] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [Subscribe] [Scholar Register] [Received: 08/24/2022] [Accepted: 01/13/2023] [Indexed: 05/11/2023]
Abstract
OBJECTIVE Gain insights into how patients with periodontitis perceive the disease and its treatment, thus identifying their potential needs. METHODS Descriptive qualitative research among 19 patients with periodontitis purposefully sampled for semi-structured interviews. Thematic analysis of the interview data used NVivo 11.0. RESULTS The data could be summarized in five themes: 1) restricted physiological function of the oral cavity; 2) psychological frustration; 3) impact on social life; 4) focus on patient comfort; 5) accessibility, convenience, and science of oral health services. CONCLUSIONS Periodontitis can affect biopsychosocial aspects of patients lives. Some needs remain to be met or improved during treatment. As the paradigm shifts, dental practitioners should also focus on their professional roles and take measures to improve patients' experiences.
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Affiliation(s)
- J Yin
- Jiangbei Stomatological Center, Nanjing Stomatological Hospital, Medical School of Nanjing University, China
| | - Y Li
- Jiangbei Stomatological Center, Nanjing Stomatological Hospital, Medical School of Nanjing University, China
| | - J Liu
- Jiangbei Stomatological Center, Nanjing Stomatological Hospital, Medical School of Nanjing University, China
| | - L Li
- Jiangbei Stomatological Center, Nanjing Stomatological Hospital, Medical School of Nanjing University, China
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Guan GP, Wang X, Wang C, Jia XL, Yin J, Liu XH, Yang YL, Liu W. Comparison of PFNA and DHS in the treatment of sarcopenia with Seinsheimer type V subtrochanteric fracture. Eur Rev Med Pharmacol Sci 2023; 27:4442-4449. [PMID: 37259725 DOI: 10.26355/eurrev_202305_32450] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [MESH Headings] [Subscribe] [Scholar Register] [Indexed: 06/02/2023]
Abstract
OBJECTIVE We aimed at comparing the curative effect of proximal femoral nail antirotation (PFNA) and dynamic hip screw (DHS) in the treatment of Seinsheimer type V (type V) subtrochanteric fractures with sarcopenia. PATIENTS AND METHODS A retrospective analysis was performed on 59 patients with type V subtrochanteric fractures complicated with sarcopenia admitted to the Department of Orthopedics of the affiliated Jiangning Hospital with Nanjing Medical University from January 2016 to December 2021. Sarcopenia was diagnosed based on grip strength and skeletal muscle index (SMI). According to different surgical methods, they were divided into PFNA group (32 cases) and DHS group (27 cases). The age, gender, time from injury to operation, SMI value, incision length, operation time, intraoperative blood loss, fluoroscopy times, perioperative blood transfusion, lower limb full weight-bearing time, visual analogue scale (VAS) for pain at 3 months after operation and at the last follow-up, Harris score as well as postoperative complications were compared between the two groups. RESULTS There were no significant differences in age, gender, time from injury to operation, and SMI between the two groups. The length of surgical incision, blood loss and blood transfusion in the PFNA group were less than those in the DHS group; however, the number of intraoperative fluoroscopies was more than that in the DHS group. The PFNA group had earlier full weight-bearing time, lower VAS score and higher Harris score at 3 months after operation, while there was no statistically significant difference in VAS score and Harris score between the two groups at the last follow-up. The incidence of complications in the PFNA group was lower than that in the DHS group, and the difference was statistically significant. CONCLUSIONS Both PFNA and DHS are effective methods for the treatment of type V subtrochanteric fractures complicated with sarcopenia. Strikingly, PFNA is preferred because of its short surgical incision, less blood loss, faster recovery, and lower incidence of complications.
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Affiliation(s)
- G-P Guan
- Department of Orthopedics, the Affiliated Jiangning Hospital with Nanjing Medical University, Nanjing, China.
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Li Y, He M, Zhang W, Liu W, Xu H, Yang M, Zhang H, Liang H, Li W, Wu Z, Fu W, Xu S, Liu X, Fan S, Zhou L, Wang C, Zhang L, Li Y, Gu J, Yin J, Zhang Y, Xia Y, Mao X, Cheng T, Shi J, Du Y, Gao Y. Expansion of human megakaryocyte-biased hematopoietic stem cells by biomimetic Microniche. Nat Commun 2023; 14:2207. [PMID: 37072407 PMCID: PMC10113370 DOI: 10.1038/s41467-023-37954-3] [Citation(s) in RCA: 1] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 11/14/2022] [Accepted: 04/04/2023] [Indexed: 04/20/2023] Open
Abstract
Limited numbers of available hematopoietic stem cells (HSCs) limit the widespread use of HSC-based therapies. Expansion systems for functional heterogenous HSCs remain to be optimized. Here, we present a convenient strategy for human HSC expansion based on a biomimetic Microniche. After demonstrating the expansion of HSC from different sources, we find that our Microniche-based system expands the therapeutically attractive megakaryocyte-biased HSC. We demonstrate scalable HSC expansion by applying this strategy in a stirred bioreactor. Moreover, we identify that the functional human megakaryocyte-biased HSCs are enriched in the CD34+CD38-CD45RA-CD90+CD49f lowCD62L-CD133+ subpopulation. Specifically, the expansion of megakaryocyte-biased HSCs is supported by a biomimetic niche-like microenvironment, which generates a suitable cytokine milieu and supplies the appropriate physical scaffolding. Thus, beyond clarifying the existence and immuno-phenotype of human megakaryocyte-biased HSC, our study demonstrates a flexible human HSC expansion strategy that could help realize the strong clinical promise of HSC-based therapies.
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Affiliation(s)
- Yinghui Li
- State Key Laboratory of Experimental Hematology, National Clinical Research Center for Blood Diseases, Haihe Laboratory of Cell Ecosystem, PUMC Department of Stem Cell and Regenerative Medicine, CAMS Key Laboratory of Gene Therapy for Blood Diseases, Institute of Hematology and Blood Diseases Hospital, Chinese Academy of Medical Sciences & Peking Union Medical College, Tianjin, 300020, China
- Tianjin Institutes of Health Science, Tianjin, 301600, China
| | - Mei He
- State Key Laboratory of Experimental Hematology, National Clinical Research Center for Blood Diseases, Haihe Laboratory of Cell Ecosystem, PUMC Department of Stem Cell and Regenerative Medicine, CAMS Key Laboratory of Gene Therapy for Blood Diseases, Institute of Hematology and Blood Diseases Hospital, Chinese Academy of Medical Sciences & Peking Union Medical College, Tianjin, 300020, China
- Tianjin Institutes of Health Science, Tianjin, 301600, China
| | - Wenshan Zhang
- State Key Laboratory of Experimental Hematology, National Clinical Research Center for Blood Diseases, Haihe Laboratory of Cell Ecosystem, PUMC Department of Stem Cell and Regenerative Medicine, CAMS Key Laboratory of Gene Therapy for Blood Diseases, Institute of Hematology and Blood Diseases Hospital, Chinese Academy of Medical Sciences & Peking Union Medical College, Tianjin, 300020, China
- Tianjin Institutes of Health Science, Tianjin, 301600, China
| | - Wei Liu
- Department of Biomedical Engineering, School of Medicine, Tsinghua-PKU Center for Life Sciences, Tsinghua University, 100084, Beijing, China
- Beijing CytoNiche Biotechnology Co. Ltd., 100195, Beijing, China
| | - Hui Xu
- State Key Laboratory of Experimental Hematology, National Clinical Research Center for Blood Diseases, Haihe Laboratory of Cell Ecosystem, PUMC Department of Stem Cell and Regenerative Medicine, CAMS Key Laboratory of Gene Therapy for Blood Diseases, Institute of Hematology and Blood Diseases Hospital, Chinese Academy of Medical Sciences & Peking Union Medical College, Tianjin, 300020, China
- Tianjin Institutes of Health Science, Tianjin, 301600, China
| | - Ming Yang
- State Key Laboratory of Experimental Hematology, National Clinical Research Center for Blood Diseases, Haihe Laboratory of Cell Ecosystem, PUMC Department of Stem Cell and Regenerative Medicine, CAMS Key Laboratory of Gene Therapy for Blood Diseases, Institute of Hematology and Blood Diseases Hospital, Chinese Academy of Medical Sciences & Peking Union Medical College, Tianjin, 300020, China
- Tianjin Institutes of Health Science, Tianjin, 301600, China
| | - Hexiao Zhang
- State Key Laboratory of Experimental Hematology, National Clinical Research Center for Blood Diseases, Haihe Laboratory of Cell Ecosystem, PUMC Department of Stem Cell and Regenerative Medicine, CAMS Key Laboratory of Gene Therapy for Blood Diseases, Institute of Hematology and Blood Diseases Hospital, Chinese Academy of Medical Sciences & Peking Union Medical College, Tianjin, 300020, China
- Tianjin Institutes of Health Science, Tianjin, 301600, China
| | - Haiwei Liang
- Department of Biomedical Engineering, School of Medicine, Tsinghua-PKU Center for Life Sciences, Tsinghua University, 100084, Beijing, China
| | - Wenjing Li
- Department of Biomedical Engineering, School of Medicine, Tsinghua-PKU Center for Life Sciences, Tsinghua University, 100084, Beijing, China
| | - Zhaozhao Wu
- Department of Biomedical Engineering, School of Medicine, Tsinghua-PKU Center for Life Sciences, Tsinghua University, 100084, Beijing, China
| | - Weichao Fu
- State Key Laboratory of Experimental Hematology, National Clinical Research Center for Blood Diseases, Haihe Laboratory of Cell Ecosystem, PUMC Department of Stem Cell and Regenerative Medicine, CAMS Key Laboratory of Gene Therapy for Blood Diseases, Institute of Hematology and Blood Diseases Hospital, Chinese Academy of Medical Sciences & Peking Union Medical College, Tianjin, 300020, China
- Tianjin Institutes of Health Science, Tianjin, 301600, China
| | - Shiqi Xu
- State Key Laboratory of Experimental Hematology, National Clinical Research Center for Blood Diseases, Haihe Laboratory of Cell Ecosystem, PUMC Department of Stem Cell and Regenerative Medicine, CAMS Key Laboratory of Gene Therapy for Blood Diseases, Institute of Hematology and Blood Diseases Hospital, Chinese Academy of Medical Sciences & Peking Union Medical College, Tianjin, 300020, China
- Tianjin Institutes of Health Science, Tianjin, 301600, China
| | - Xiaolei Liu
- State Key Laboratory of Experimental Hematology, National Clinical Research Center for Blood Diseases, Haihe Laboratory of Cell Ecosystem, PUMC Department of Stem Cell and Regenerative Medicine, CAMS Key Laboratory of Gene Therapy for Blood Diseases, Institute of Hematology and Blood Diseases Hospital, Chinese Academy of Medical Sciences & Peking Union Medical College, Tianjin, 300020, China
- Tianjin Institutes of Health Science, Tianjin, 301600, China
| | - Sibin Fan
- State Key Laboratory of Experimental Hematology, National Clinical Research Center for Blood Diseases, Haihe Laboratory of Cell Ecosystem, PUMC Department of Stem Cell and Regenerative Medicine, CAMS Key Laboratory of Gene Therapy for Blood Diseases, Institute of Hematology and Blood Diseases Hospital, Chinese Academy of Medical Sciences & Peking Union Medical College, Tianjin, 300020, China
- Tianjin Institutes of Health Science, Tianjin, 301600, China
| | - Liwei Zhou
- State Key Laboratory of Experimental Hematology, National Clinical Research Center for Blood Diseases, Haihe Laboratory of Cell Ecosystem, PUMC Department of Stem Cell and Regenerative Medicine, CAMS Key Laboratory of Gene Therapy for Blood Diseases, Institute of Hematology and Blood Diseases Hospital, Chinese Academy of Medical Sciences & Peking Union Medical College, Tianjin, 300020, China
- Tianjin Institutes of Health Science, Tianjin, 301600, China
| | - Chaoqun Wang
- State Key Laboratory of Experimental Hematology, National Clinical Research Center for Blood Diseases, Haihe Laboratory of Cell Ecosystem, PUMC Department of Stem Cell and Regenerative Medicine, CAMS Key Laboratory of Gene Therapy for Blood Diseases, Institute of Hematology and Blood Diseases Hospital, Chinese Academy of Medical Sciences & Peking Union Medical College, Tianjin, 300020, China
- Tianjin Institutes of Health Science, Tianjin, 301600, China
| | - Lele Zhang
- State Key Laboratory of Experimental Hematology, National Clinical Research Center for Blood Diseases, Haihe Laboratory of Cell Ecosystem, PUMC Department of Stem Cell and Regenerative Medicine, CAMS Key Laboratory of Gene Therapy for Blood Diseases, Institute of Hematology and Blood Diseases Hospital, Chinese Academy of Medical Sciences & Peking Union Medical College, Tianjin, 300020, China
- Tianjin Institutes of Health Science, Tianjin, 301600, China
| | - Yafang Li
- State Key Laboratory of Experimental Hematology, National Clinical Research Center for Blood Diseases, Haihe Laboratory of Cell Ecosystem, PUMC Department of Stem Cell and Regenerative Medicine, CAMS Key Laboratory of Gene Therapy for Blood Diseases, Institute of Hematology and Blood Diseases Hospital, Chinese Academy of Medical Sciences & Peking Union Medical College, Tianjin, 300020, China
- Tianjin Institutes of Health Science, Tianjin, 301600, China
| | - Jiali Gu
- State Key Laboratory of Experimental Hematology, National Clinical Research Center for Blood Diseases, Haihe Laboratory of Cell Ecosystem, PUMC Department of Stem Cell and Regenerative Medicine, CAMS Key Laboratory of Gene Therapy for Blood Diseases, Institute of Hematology and Blood Diseases Hospital, Chinese Academy of Medical Sciences & Peking Union Medical College, Tianjin, 300020, China
- Tianjin Institutes of Health Science, Tianjin, 301600, China
| | - Jingjing Yin
- State Key Laboratory of Experimental Hematology, National Clinical Research Center for Blood Diseases, Haihe Laboratory of Cell Ecosystem, PUMC Department of Stem Cell and Regenerative Medicine, CAMS Key Laboratory of Gene Therapy for Blood Diseases, Institute of Hematology and Blood Diseases Hospital, Chinese Academy of Medical Sciences & Peking Union Medical College, Tianjin, 300020, China
- Tianjin Institutes of Health Science, Tianjin, 301600, China
| | - Yiran Zhang
- State Key Laboratory of Experimental Hematology, National Clinical Research Center for Blood Diseases, Haihe Laboratory of Cell Ecosystem, PUMC Department of Stem Cell and Regenerative Medicine, CAMS Key Laboratory of Gene Therapy for Blood Diseases, Institute of Hematology and Blood Diseases Hospital, Chinese Academy of Medical Sciences & Peking Union Medical College, Tianjin, 300020, China
- Tianjin Institutes of Health Science, Tianjin, 301600, China
| | - Yonghui Xia
- State Key Laboratory of Experimental Hematology, National Clinical Research Center for Blood Diseases, Haihe Laboratory of Cell Ecosystem, PUMC Department of Stem Cell and Regenerative Medicine, CAMS Key Laboratory of Gene Therapy for Blood Diseases, Institute of Hematology and Blood Diseases Hospital, Chinese Academy of Medical Sciences & Peking Union Medical College, Tianjin, 300020, China
- Tianjin Institutes of Health Science, Tianjin, 301600, China
| | - Xuemei Mao
- Nankai Hospital, Tianjin Hospital of Integrated Traditional Chinese and Western Medicine, Tianjin, 300100, China
| | - Tao Cheng
- State Key Laboratory of Experimental Hematology, National Clinical Research Center for Blood Diseases, Haihe Laboratory of Cell Ecosystem, PUMC Department of Stem Cell and Regenerative Medicine, CAMS Key Laboratory of Gene Therapy for Blood Diseases, Institute of Hematology and Blood Diseases Hospital, Chinese Academy of Medical Sciences & Peking Union Medical College, Tianjin, 300020, China.
- Tianjin Institutes of Health Science, Tianjin, 301600, China.
| | - Jun Shi
- State Key Laboratory of Experimental Hematology, National Clinical Research Center for Blood Diseases, Haihe Laboratory of Cell Ecosystem, PUMC Department of Stem Cell and Regenerative Medicine, CAMS Key Laboratory of Gene Therapy for Blood Diseases, Institute of Hematology and Blood Diseases Hospital, Chinese Academy of Medical Sciences & Peking Union Medical College, Tianjin, 300020, China.
- Tianjin Institutes of Health Science, Tianjin, 301600, China.
| | - Yanan Du
- Department of Biomedical Engineering, School of Medicine, Tsinghua-PKU Center for Life Sciences, Tsinghua University, 100084, Beijing, China.
- Beijing CytoNiche Biotechnology Co. Ltd., 100195, Beijing, China.
| | - Yingdai Gao
- State Key Laboratory of Experimental Hematology, National Clinical Research Center for Blood Diseases, Haihe Laboratory of Cell Ecosystem, PUMC Department of Stem Cell and Regenerative Medicine, CAMS Key Laboratory of Gene Therapy for Blood Diseases, Institute of Hematology and Blood Diseases Hospital, Chinese Academy of Medical Sciences & Peking Union Medical College, Tianjin, 300020, China.
- Tianjin Institutes of Health Science, Tianjin, 301600, China.
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Yang X, Yin J, Fu Y, Shen Y, Zhang C, Yao S, Xu C, Xia M, Lou G, Liu J, Lin B, Wang J, Zhao W, Zhang J, Cheng W, Guo H, Guo R, Xue F, Wang X, Han L, Li X, Zhang P, Zhao J, Li W, Dou Y, Wang Z, Liu J, Li K, Chen G, Sun C, Wang B, Yang X. It is not the time to abandon intraoperative frozen section in endometrioid adenocarcinoma: A large-scale, multi-center, and retrospective study. Cancer Med 2023; 12:8897-8910. [PMID: 36718983 PMCID: PMC10134352 DOI: 10.1002/cam4.5643] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 06/21/2022] [Revised: 01/05/2023] [Accepted: 01/12/2023] [Indexed: 02/01/2023] Open
Abstract
INTRODUCTION Stage IB (deep myometrial invasion) high-grade endometrioid adenocarcinoma (EA), regardless of LVSI status, is classified into high-intermediate risk groups, requiring surgical lymph node staging. Intraoperative frozen section (IFS) is commonly used, but its adequacy and reliability vary between reports. Hence, we determined the utility of IFS in identification of high-risk factors, including deep myometrial invasion and high-grade. METHOD We retrospectively analyzed 9,985 cases operated with hysterectomy and diagnosed with FIGO stage I/II EA in postoperative paraffin section (PS) results at 30 Chinese hospitals from 2000 to 2019. We determined diagnostic performance of IFS and investigated whether the addition of IFS to preoperative biopsy and imaging could improve identification of high-risk factors. RESULTS IFS and postoperative PS presented the highest concordance in assessing deep myometrial invasion (Kappa: 0.834), followed by intraoperative gross examination (IGE Kappa: 0.643), MRI (Kappa: 0.395), and CT (Kappa: 0.207). IFS and postoperative PS presented the highest concordance for high-grade EA (Kappa: 0.585) compared to diagnostic curettage (D&C 0.226) and hysteroscope (Hys 0.180). Sensitivity and specificity for detecting deep myometrial invasion were 86.21 and 97.20% for IFS versus 51.72 and 88.81% for MRI, 68.97 and 94.41% for IGE. These figures for detecting high-grade EA were 58.21 and 96.50% for IFS versus 16.42 and 98.83% for D&C, 13.43 and 98.64% for Hys. Parallel strategies, including MRI-IFS (Kappa: 0.626), D&C-IFS (Kappa: 0.595), and Hys-IFS (Kappa: 0.578) improved the diagnostic efficiencies of individual preoperative examinations. Based on the high sensitivity of IFS, parallel strategies improved the sensitivities of preoperative examinations to 89.66% (MRI), 64.18% (D&C), 62.69% (Hys), respectively, and these differences were statistically significant (p = 0.000). CONCLUSION IFS presented reasonable agreement rates predicting postoperative PS results, including deep myometrial invasion and high-grade. IFS helps identify high-intermediate risk patients in preoperative biopsy and MRI and guides intraoperative lymphadenectomy decisions in EA.
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Affiliation(s)
- Xiaohang Yang
- Cancer Biology Research Center (Key Laboratory of the Ministry of Education), Tongji Hospital, Tongji Medical College, Huazhong University of Science and TechnologyWuhanHubeiChina
- Department of Gynecology and ObstetricsTongji Hospital, Tongji Medical College, Huazhong University of Science and TechnologyWuhanHubeiChina
| | - Jingjing Yin
- Cancer Biology Research Center (Key Laboratory of the Ministry of Education), Tongji Hospital, Tongji Medical College, Huazhong University of Science and TechnologyWuhanHubeiChina
- Department of Gynecology and ObstetricsTongji Hospital, Tongji Medical College, Huazhong University of Science and TechnologyWuhanHubeiChina
| | - Yu Fu
- Cancer Biology Research Center (Key Laboratory of the Ministry of Education), Tongji Hospital, Tongji Medical College, Huazhong University of Science and TechnologyWuhanHubeiChina
- Department of Gynecology and ObstetricsTongji Hospital, Tongji Medical College, Huazhong University of Science and TechnologyWuhanHubeiChina
| | - Yuanming Shen
- Women's Hospital, School of Medicine, Zhejiang UniversityHangzhouZhejiangChina
| | - Chuyao Zhang
- Department of Gynecologic OncologySun Yat‐sen University Cancer CenterGuangzhouChina
| | - Shuzhong Yao
- Department of Obstetrics and GynecologyThe First Affiliated Hospital of Sun Yat‐sen UniversityGuangzhouChina
| | - Congjian Xu
- Department of GynecologyObstetrics and Gynecology Hospital of Fudan UniversityShanghaiChina
| | - Min Xia
- Department of Gynecology and ObstetricsThe Affiliated Yantai Yuhuangding Hospital of Qingdao UniversityYantaiShandongChina
| | - Ge Lou
- Department of Gynecology OncologyHarbin Medical University Cancer HospitalHarbinChina
| | - Jihong Liu
- Department of Gynecologic OncologySun Yat‐sen University Cancer CenterGuangzhouChina
| | - Bei Lin
- Department of Obstetrics and GynecologyShengjing Hospital Affiliated to China Medical UniversityShenyangLiaoningChina
| | | | - Weidong Zhao
- Division of Life Sciences and MedicineThe First Affiliated Hospital of USTC, University of Science and Technology of ChinaHefeiAnhuiChina
| | - Jieqing Zhang
- Department of Gynecologic OncologyGuangxi Medical University Cancer HospitalNanningGuangxiChina
| | - Wenjun Cheng
- The First Affiliated Hospital of Nanjing Medical UniversityNanjingJiangsuChina
| | - Hongyan Guo
- The Third Hospital of Peking UniversityBeijingChina
| | - Ruixia Guo
- Department of Gynecology and Obstetricsthe First Affiliated Hospital of Zhengzhou UniversityZhengzhouChina
| | - Fengxia Xue
- Department of Gynecology and ObstetricsTianjin Medical University General HospitalTianjinChina
| | - Xipeng Wang
- Department of Gynecology and ObstetricsXinHua Hospital, Shanghai JiaoTong University School of MedicineShanghaiChina
| | - Lili Han
- Department of GynecologyPeople's Hospital of Xinjiang Uygur Autonomous RegionUrumqiChina
| | - Xiaomao Li
- Department of Gynecology and ObstetricsThe Third Affiliated Hospital, Sun Yat‐sen UniversityGuangzhouChina
| | - Ping Zhang
- Department of GynecologyThe Second Hospital of Shandong UniversityJinanShandongChina
| | - Jianguo Zhao
- Department of Gynecologic OncologyTianjin Central Hospital of Gynecology and Obstetrics, Affiliated Hospital of Nankai University; Tianjin Clinical Research Center For Gynecology and Obstetrics; Branch of National Clinical Research Center For Gynecology and ObstetricsTianjinChina
| | - Wenting Li
- Cancer Biology Research Center (Key Laboratory of the Ministry of Education), Tongji Hospital, Tongji Medical College, Huazhong University of Science and TechnologyWuhanHubeiChina
- Department of Gynecology and ObstetricsTongji Hospital, Tongji Medical College, Huazhong University of Science and TechnologyWuhanHubeiChina
| | - Yingyu Dou
- Cancer Biology Research Center (Key Laboratory of the Ministry of Education), Tongji Hospital, Tongji Medical College, Huazhong University of Science and TechnologyWuhanHubeiChina
- Department of Gynecology and ObstetricsTongji Hospital, Tongji Medical College, Huazhong University of Science and TechnologyWuhanHubeiChina
| | - Zizhuo Wang
- Cancer Biology Research Center (Key Laboratory of the Ministry of Education), Tongji Hospital, Tongji Medical College, Huazhong University of Science and TechnologyWuhanHubeiChina
- Department of Gynecology and ObstetricsTongji Hospital, Tongji Medical College, Huazhong University of Science and TechnologyWuhanHubeiChina
| | - Jingbo Liu
- Cancer Biology Research Center (Key Laboratory of the Ministry of Education), Tongji Hospital, Tongji Medical College, Huazhong University of Science and TechnologyWuhanHubeiChina
- Department of Gynecology and ObstetricsTongji Hospital, Tongji Medical College, Huazhong University of Science and TechnologyWuhanHubeiChina
| | - Kezhen Li
- Cancer Biology Research Center (Key Laboratory of the Ministry of Education), Tongji Hospital, Tongji Medical College, Huazhong University of Science and TechnologyWuhanHubeiChina
- Department of Gynecology and ObstetricsTongji Hospital, Tongji Medical College, Huazhong University of Science and TechnologyWuhanHubeiChina
| | - Gang Chen
- Cancer Biology Research Center (Key Laboratory of the Ministry of Education), Tongji Hospital, Tongji Medical College, Huazhong University of Science and TechnologyWuhanHubeiChina
- Department of Gynecology and ObstetricsTongji Hospital, Tongji Medical College, Huazhong University of Science and TechnologyWuhanHubeiChina
| | - Chaoyang Sun
- Cancer Biology Research Center (Key Laboratory of the Ministry of Education), Tongji Hospital, Tongji Medical College, Huazhong University of Science and TechnologyWuhanHubeiChina
- Department of Gynecology and ObstetricsTongji Hospital, Tongji Medical College, Huazhong University of Science and TechnologyWuhanHubeiChina
| | - Beibei Wang
- Cancer Biology Research Center (Key Laboratory of the Ministry of Education), Tongji Hospital, Tongji Medical College, Huazhong University of Science and TechnologyWuhanHubeiChina
- Department of Gynecology and ObstetricsTongji Hospital, Tongji Medical College, Huazhong University of Science and TechnologyWuhanHubeiChina
| | - Xingsheng Yang
- Department of Obstetrics and Gynecology, Qilu HospitalCheeloo College of Medicine, Shandong UniversityJinanShandongChina
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Ji X, He G, Wang K, Zhang Y, Yin J, Wang K. Estimation of gastric cancer burden attributable to Helicobacter pylori infection in Asia. J Public Health (Oxf) 2023; 45:40-46. [PMID: 35137200 DOI: 10.1093/pubmed/fdab410] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 05/17/2021] [Revised: 12/22/2021] [Accepted: 01/02/2022] [Indexed: 11/13/2022] Open
Abstract
BACKGROUND Helicobacter pylori causes large burden of gastric cancer (GC) in Asia. We aimed to comprehensively quantify the burden of GC attributable to H. pylori infection in Asia. METHODS We searched related articles from January 1998 to December 2020 to obtain the prevalence and relative risks (or odds ratio) of GC associated with H. pylori in Asia. The burden of GC attributable to H. pylori infection was quantified by Population Attributable Fraction (PAF) and Disability-adjusted life-years (DALYs). RESULTS We quantified the burden of GC attributable to H. pylori infection with 415.6 thousand DALYs and 38.03% PAF through the five included Asian countries in 2019. The study found that the burden had obvious regional differences. The DALYs ranged from 298.9 thousand in China to 1.9 thousand in Malaysia, and the PAFs were between 58.00% in Japan and 30.89% in China. The average prevalence of H. pylori in the included general population was estimated to be 56.29%. CONCLUSIONS Helicobacter pylori poses a huge disease burden of GC to the population, and its eradication should receive attention, especially in the countries with high incidence of and mortality due to GC.
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Affiliation(s)
- Xuanke Ji
- Department of Epidemiology, College of Public Health, Zhengzhou University, Zhengzhou, China.,Key Laboratory of Tumor Epidemiology of Henan Province, Zhengzhou University, Zhengzhou, China.,State Key Laboratory of Esophageal Cancer Prevention & Treatment, Zhengzhou University, Zhengzhou, China
| | - Gui He
- Department of Epidemiology, College of Public Health, Zhengzhou University, Zhengzhou, China.,Key Laboratory of Tumor Epidemiology of Henan Province, Zhengzhou University, Zhengzhou, China.,State Key Laboratory of Esophageal Cancer Prevention & Treatment, Zhengzhou University, Zhengzhou, China
| | - Kunyan Wang
- Department of Epidemiology, College of Public Health, Zhengzhou University, Zhengzhou, China.,Key Laboratory of Tumor Epidemiology of Henan Province, Zhengzhou University, Zhengzhou, China.,State Key Laboratory of Esophageal Cancer Prevention & Treatment, Zhengzhou University, Zhengzhou, China
| | - Yuehua Zhang
- Department of Epidemiology, College of Public Health, Zhengzhou University, Zhengzhou, China.,Key Laboratory of Tumor Epidemiology of Henan Province, Zhengzhou University, Zhengzhou, China.,State Key Laboratory of Esophageal Cancer Prevention & Treatment, Zhengzhou University, Zhengzhou, China
| | - Jingjing Yin
- Key Laboratory of Tumor Epidemiology of Henan Province, Zhengzhou University, Zhengzhou, China.,State Key Laboratory of Esophageal Cancer Prevention & Treatment, Zhengzhou University, Zhengzhou, China
| | - Kaijuan Wang
- Medical School, Huanghe Science & Technology College, Zijingshan Road No. 666, Zhengzhou City, Henan 450000, China
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Gao Q, Lin YP, Li BS, Wang GQ, Dong LQ, Shen BY, Lou WH, Wu WC, Ge D, Zhu QL, Xu Y, Xu JM, Chang WJ, Lan P, Zhou PH, He MJ, Qiao GB, Chuai SK, Zang RY, Shi TY, Tan LJ, Yin J, Zeng Q, Su XF, Wang ZD, Zhao XQ, Nian WQ, Zhang S, Zhou J, Cai SL, Zhang ZH, Fan J. Unintrusive multi-cancer detection by circulating cell-free DNA methylation sequencing (THUNDER): development and independent validation studies. Ann Oncol 2023; 34:486-495. [PMID: 36849097 DOI: 10.1016/j.annonc.2023.02.010] [Citation(s) in RCA: 10] [Impact Index Per Article: 10.0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 05/30/2022] [Revised: 02/10/2023] [Accepted: 02/20/2023] [Indexed: 02/27/2023] Open
Abstract
BACKGROUND Early detection of cancer offers the opportunity to identify candidates when curative treatments are achievable. The THUNDER study (THe UNintrusive Detection of EaRly-stage cancers, NCT04820868) aimed to evaluate the performance of ELSA-seq, a previously described cfDNA methylation-based technology, in the early detection and localization of six types of cancers in the colorectum, esophagus, liver, lung, ovary and pancreas. PATIENTS AND METHODS A customized panel of 161,984 CpG sites was constructed and validated by public and in-house (cancer: n=249; non-cancer: n=288) methylome data, respectively. The cfDNA samples from 1,693 participants (cancer: n=735; non-cancer: n=958) were retrospectively collected to train and validate two multi-cancer detection blood test models (MCDBT-1/2) for different clinical scenarios. The models were validated on a prospective and independent cohort of age-matched 1,010 participants (cancer: n=505; non-cancer: n=505). Simulation using the cancer incidence in China was applied to infer stage-shift and survival benefits to demonstrate the potential utility of the models in the real world. RESULTS MCDBT-1 yielded a sensitivity of 69.1% (64.8%‒73.3%), a specificity of 98.9% (97.6%‒99.7%) and tissue origin accuracy of 83.2% (78.7%‒87.1%) in the independent validation set. For early stage (I‒III) patients, the sensitivity of MCDBT-1 was 59.8% (54.4%‒65.0%). In the real-world simulation, MCDBT-1 achieved the sensitivity of 70.6% in detecting the six cancers, thus decreasing late-stage incidence by 38.7%‒46.4%, and increasing 5-year survival rate by 33.1%‒40.4%, respectively. In parallel, MCDBT-2 was generated at a slightly low specificity of 95.1% (92.8%-96.9%) but a higher sensitivity of 75.1% (71.9%-79.8%) than MCDBT-1 for populations at relatively high risk of cancers, and also had ideal performance. CONCLUSION In this large-scale clinical validation study, MCDBT-1/2 models showed a high sensitivity, specificity, and accuracy of predicted origin in detecting six types of cancers.
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Affiliation(s)
- Q Gao
- Department of Liver Surgery and Transplantation, Liver Cancer Institute, Zhongshan Hospital, and Key Laboratory of Carcinogenesis and Cancer Invasion of Ministry of Education, Fudan University, Shanghai 200032, China; Key Laboratory of Medical Epigenetics and Metabolism, Institutes of Biomedical Sciences, Fudan University, Shanghai 200032, China
| | - Y P Lin
- Department of Liver Surgery and Transplantation, Liver Cancer Institute, Zhongshan Hospital, and Key Laboratory of Carcinogenesis and Cancer Invasion of Ministry of Education, Fudan University, Shanghai 200032, China; Key Laboratory of Medical Epigenetics and Metabolism, Institutes of Biomedical Sciences, Fudan University, Shanghai 200032, China
| | - B S Li
- Burning Rock Biotech, Guangzhou 510300, China
| | - G Q Wang
- Burning Rock Biotech, Guangzhou 510300, China
| | - L Q Dong
- Department of Liver Surgery and Transplantation, Liver Cancer Institute, Zhongshan Hospital, and Key Laboratory of Carcinogenesis and Cancer Invasion of Ministry of Education, Fudan University, Shanghai 200032, China; Key Laboratory of Medical Epigenetics and Metabolism, Institutes of Biomedical Sciences, Fudan University, Shanghai 200032, China
| | - B Y Shen
- Department of General Surgery, Pancreatic Disease Center, Research Institute of Pancreatic Diseases, Ruijin Hospital, Shanghai Jiao Tong University School of Medicine, Shanghai 20025, China
| | - W H Lou
- Department of General Surgery, Zhongshan Hospital, Fudan University, Shanghai 200032, China
| | - W C Wu
- Department of General Surgery, Zhongshan Hospital, Fudan University, Shanghai 200032, China
| | - D Ge
- Department of Thoracic Surgery, Zhongshan Hospital, Fudan University, Shanghai 200032, China
| | - Q L Zhu
- Department of Thoracic Surgery, Zhongshan Hospital, Fudan University, Shanghai 200032, China
| | - Y Xu
- Burning Rock Biotech, Guangzhou 510300, China
| | - J M Xu
- Department of General Surgery, Zhongshan Hospital, Fudan University, Shanghai 200032, China
| | - W J Chang
- Department of General Surgery, Zhongshan Hospital, Fudan University, Shanghai 200032, China
| | - P Lan
- Department of Colorectal Surgery, The Sixth Affiliated Hospital of Sun Yat-Sen University, Guangzhou 510655, China
| | - P H Zhou
- Endoscopy Center and Endoscopy Research Institute, Zhongshan Hospital, Fudan University, Shanghai 200032, China
| | - M J He
- Endoscopy Center and Endoscopy Research Institute, Zhongshan Hospital, Fudan University, Shanghai 200032, China
| | - G B Qiao
- Department of Thoracic Surgery, Guangdong Provincial People's Hospital, Guangdong Academy of Medical Sciences, Guangzhou 510080, China
| | - S K Chuai
- Burning Rock Biotech, Guangzhou 510300, China
| | - R Y Zang
- Ovarian Cancer Program, Department of Gynaecologic Oncology, Zhongshan Hospital, Fudan University, Shanghai 200032, China
| | - T Y Shi
- Ovarian Cancer Program, Department of Gynaecologic Oncology, Zhongshan Hospital, Fudan University, Shanghai 200032, China
| | - L J Tan
- Department of Thoracic Surgery, Zhongshan Hospital, Fudan University, Shanghai 200032, China
| | - J Yin
- Department of Thoracic Surgery, Zhongshan Hospital, Fudan University, Shanghai 200032, China
| | - Q Zeng
- Health Management Institute, The Second Medical Center & National Clinical Research Center for Geriatric Diseases, Chinese PLA General Hospital, Beijing 100853, China
| | - X F Su
- Department of Cardiothoracic Surgery, Linfen People's Hospital, Shanxi 041000, China
| | - Z D Wang
- Clinical Research Center, Linfen People's Hospital, Shanxi 041000, China
| | - X Q Zhao
- Department of Pathology, Linfen People's Hospital, Shanxi 041000, China
| | - W Q Nian
- Phase I ward, Chongqing University Cancer Hospital, Chongqing 400030, China
| | - S Zhang
- Department of Liver Surgery and Transplantation, Liver Cancer Institute, Zhongshan Hospital, and Key Laboratory of Carcinogenesis and Cancer Invasion of Ministry of Education, Fudan University, Shanghai 200032, China
| | - J Zhou
- Department of Liver Surgery and Transplantation, Liver Cancer Institute, Zhongshan Hospital, and Key Laboratory of Carcinogenesis and Cancer Invasion of Ministry of Education, Fudan University, Shanghai 200032, China; Key Laboratory of Medical Epigenetics and Metabolism, Institutes of Biomedical Sciences, Fudan University, Shanghai 200032, China
| | - S L Cai
- Burning Rock Biotech, Guangzhou 510300, China
| | - Z H Zhang
- Burning Rock Biotech, Guangzhou 510300, China
| | - J Fan
- Department of Liver Surgery and Transplantation, Liver Cancer Institute, Zhongshan Hospital, and Key Laboratory of Carcinogenesis and Cancer Invasion of Ministry of Education, Fudan University, Shanghai 200032, China; Key Laboratory of Medical Epigenetics and Metabolism, Institutes of Biomedical Sciences, Fudan University, Shanghai 200032, China.
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Muniz-Rodriguez K, Schwind JS, Yin J, Liang H, Chowell G, Fung ICH. Exploring Social Media Network Connections to Assist During Public Health Emergency Response: A Retrospective Case-Study of Hurricane Matthew and Twitter Users in Georgia, USA. Disaster Med Public Health Prep 2023; 17:e315. [PMID: 36799713 DOI: 10.1017/dmp.2022.285] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 02/18/2023]
Abstract
OBJECTIVE To assist communities who suffered from hurricane-inflicted damages, emergency responders may monitor social media messages. We present a case-study using the event of Hurricane Matthew to analyze the results of an imputation method for the location of Twitter users who follow school and school districts in Georgia, USA. METHODS Tweets related to Hurricane Matthew were analyzed by content analysis with latent Dirichlet allocation models and sentiment analysis to identify needs and sentiment changes over time. A hurdle regression model was applied to study the association between retweet frequency and content analysis topics. RESULTS Users residing in counties affected by Hurricane Matthew posted tweets related to preparedness (n = 171; 16%), awareness (n = 407; 38%), call-for-action or help (n = 206; 19%), and evacuations (n = 93; 9%), with mostly a negative sentiment during the preparedness and response phase. Tweets posted in the hurricane path during the preparedness and response phase were less likely to be retweeted than those outside the path (adjusted odds ratio: 0.95; 95% confidence interval: 0.75, 1.19). CONCLUSIONS Social media data can be used to detect and evaluate damages of communities affected by natural disasters and identify users' needs in at-risk areas before the event takes place to aid during the preparedness phases.
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Affiliation(s)
- Kamalich Muniz-Rodriguez
- Department of Biostatistics, Epidemiology, and Environmental Health Sciences, Jiann-Ping Hsu College of Public Health, Georgia Southern University, Statesboro, GA, USA
- Ponce Research Institute, Ponce Medical School Foundation, Ponce, Puerto Rico
| | - Jessica S Schwind
- Department of Biostatistics, Epidemiology, and Environmental Health Sciences, Jiann-Ping Hsu College of Public Health, Georgia Southern University, Statesboro, GA, USA
| | - Jingjing Yin
- Department of Biostatistics, Epidemiology, and Environmental Health Sciences, Jiann-Ping Hsu College of Public Health, Georgia Southern University, Statesboro, GA, USA
| | - Hai Liang
- School of Journalism and Communication, The Chinese University of Hong Kong, Hong Kong
| | - Gerardo Chowell
- Department of Population Health Sciences, Georgia State University, Atlanta, GA, USA
| | - Isaac Chun-Hai Fung
- Department of Biostatistics, Epidemiology, and Environmental Health Sciences, Jiann-Ping Hsu College of Public Health, Georgia Southern University, Statesboro, GA, USA
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Huang Longcoy LT, Tai CY, Longcoy J, Huei-Yu Wang J, Yin J, Cowan L, Sullivan KL. Effects of Educational Interventions in Facilitating Mammography Screening Among Asian American Women: A Meta-Analysis. Oncol Nurs Forum 2023; 50:263-272. [PMID: 37677809 DOI: 10.1188/23.onf.263-272] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 09/09/2023]
Abstract
PROBLEM IDENTIFICATION This meta-analysis evaluated the effects of various types of educational interventions on increasing breast cancer screening uptake among Asian American women. LITERATURE SEARCH Web of Science, MEDLINE®, PubMed®, and Cochrane Library were searched for randomized controlled trials published from 2010 to 2020 of interventions developed to promote mammography uptake among Asian American women. DATA EVALUATION A random-effects model was used to estimate pooled effect sizes using relative risk measures. A funnel plot was used to assess publication bias. SYNTHESIS Seven studies were included in this review. Educational interventions identified were primarily culturally sensitive approaches combined with access-enhancing, individually tailored, or group-based approaches. The interventions were effective at increasing the receipt of mammography. IMPLICATIONS FOR NURSING This review provides insight into the importance of combining other approaches with educational interventions to increase their effectiveness for Asian American women. Future interventions can incorporate various approaches to enhance the ability of Asian American women to overcome barriers to breast cancer screening.
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Affiliation(s)
| | - Chun-Yi Tai
- National Taipei University of Nursing and Health Sciences
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