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Song W, Ye L, Tang Q, Lu X, Huang X, Xie M, Yu S, Yuan Z, Chen L. Rev-erbα attenuates refractory periapical periodontitis via M1 polarization: An in vitro and in vivo study. Int Endod J 2024; 57:451-463. [PMID: 38279698 DOI: 10.1111/iej.14024] [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: 09/26/2023] [Revised: 01/04/2024] [Accepted: 01/07/2024] [Indexed: 01/28/2024]
Abstract
AIM Rev-erbα has been reported to regulate the healing of inflammatory lesions through its effect on the immune system in a variety of inflammatory disease. Moreover, the balance of macrophages polarization plays a crucial role in immune response and inflammatory progression. However, in refractory periapical periodontitis (RAP), the role of Rev-erbα in inflammatory response and bone resorption by regulating macrophage polarization remains unclarified. The aims of the present study were to investigate the expression of Rev-erbα in experimental RAP and to explore the relationship between Rev-erbα and macrophage polarization through the application of its pharmacological agonist SR9009 into the in vivo and in vitro experiments. METHODOLOGY Enterococcus faecalis-induced RAP models were established in SD rats. Histological staining and micro-computed tomography scanning were used to evaluate osteoclastogenesis and alveolar bone resorption. The expression of Rev-erbα and macrophage polarization were detected in the periapical tissues from rats by immunofluorescence, flow cytometry, and western blots. Furthermore, immunohistochemical staining and enzyme-linked immunosorbent assay were performed to explore the relationship between Rev-erbα and inflammatory cytokines related to macrophage polarization. RESULT Compared to healthy periapical tissue, the expression of Rev-erbα was significantly down-regulated in macrophages from inflammatory periapical area, especially in Enterococcus faecalis-induced periapical lesions, with obvious type-1 macrophage (M1)-like dominance and the production of pro-inflammatory cytokines. In addition, Rev-erbα activation by SR9009 could induce type-2 macrophage (M2)-like polarization in periapical tissue and THP1 cell line, followed by increased secretion of anti-inflammatory cytokines IL-10 and TGF-β. Furthermore, intracanal application of SR9009 reduced the lesion size and promoted the repair of RAP by decreasing the number of osteoclasts and enhancing the formation of mineralized tissue in periapical inflammatory lesions. CONCLUSIONS Rev-erbα played an essential role in the pathogenesis of RAP through its effect on macrophage polarization. Targeting Rev-erbα might be a promising and prospective therapy method for the prevention and management of RAP.
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Affiliation(s)
- W Song
- Department of Stomatology, Union Hospital, Tongji Medical College, Huazhong University of Science and Technology, Wuhan, China
- School of Stomatology, Tongji Medical College, Huazhong University of Science and Technology, Wuhan, China
- Hubei Province Key Laboratory of Oral and Maxillofacial Development and Regeneration, Wuhan, China
| | - L Ye
- Department of Stomatology, Union Hospital, Tongji Medical College, Huazhong University of Science and Technology, Wuhan, China
- School of Stomatology, Tongji Medical College, Huazhong University of Science and Technology, Wuhan, China
- Hubei Province Key Laboratory of Oral and Maxillofacial Development and Regeneration, Wuhan, China
| | - Q Tang
- Department of Stomatology, Union Hospital, Tongji Medical College, Huazhong University of Science and Technology, Wuhan, China
- School of Stomatology, Tongji Medical College, Huazhong University of Science and Technology, Wuhan, China
- Hubei Province Key Laboratory of Oral and Maxillofacial Development and Regeneration, Wuhan, China
| | - X Lu
- Department of Stomatology, Union Hospital, Tongji Medical College, Huazhong University of Science and Technology, Wuhan, China
- School of Stomatology, Tongji Medical College, Huazhong University of Science and Technology, Wuhan, China
- Hubei Province Key Laboratory of Oral and Maxillofacial Development and Regeneration, Wuhan, China
| | - X Huang
- Department of Stomatology, Union Hospital, Tongji Medical College, Huazhong University of Science and Technology, Wuhan, China
- School of Stomatology, Tongji Medical College, Huazhong University of Science and Technology, Wuhan, China
- Hubei Province Key Laboratory of Oral and Maxillofacial Development and Regeneration, Wuhan, China
| | - M Xie
- Department of Stomatology, Union Hospital, Tongji Medical College, Huazhong University of Science and Technology, Wuhan, China
- School of Stomatology, Tongji Medical College, Huazhong University of Science and Technology, Wuhan, China
- Hubei Province Key Laboratory of Oral and Maxillofacial Development and Regeneration, Wuhan, China
| | - S Yu
- Department of Stomatology, Union Hospital, Tongji Medical College, Huazhong University of Science and Technology, Wuhan, China
- School of Stomatology, Tongji Medical College, Huazhong University of Science and Technology, Wuhan, China
- Hubei Province Key Laboratory of Oral and Maxillofacial Development and Regeneration, Wuhan, China
| | - Z Yuan
- Department of Stomatology, Union Hospital, Tongji Medical College, Huazhong University of Science and Technology, Wuhan, China
- School of Stomatology, Tongji Medical College, Huazhong University of Science and Technology, Wuhan, China
- Hubei Province Key Laboratory of Oral and Maxillofacial Development and Regeneration, Wuhan, China
| | - L Chen
- Department of Stomatology, Union Hospital, Tongji Medical College, Huazhong University of Science and Technology, Wuhan, China
- School of Stomatology, Tongji Medical College, Huazhong University of Science and Technology, Wuhan, China
- Hubei Province Key Laboratory of Oral and Maxillofacial Development and Regeneration, Wuhan, China
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Qian JH, Ye L, Tan Y. [Research progress on the cyclic GMP-AMP synthase stimulator of interferon genes pathway in respiratory diseases]. Zhonghua Jie He He Hu Xi Za Zhi 2024; 47:252-258. [PMID: 38448178 DOI: 10.3760/cma.j.cn112147-20231020-00251] [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: 03/08/2024]
Abstract
Cyclic GMP-AMP synthase (cGAS) is a DNA receptor that produces the second messenger cyclic GMP-AMP (cGAMP). cGAMP activates stimulator of interferon genes (STING), which initiates a signaling cascade leading to immune and inflammatory responses. This intricate molecular pathway plays a pivotal role in the pathogenesis and progression of diverse respiratory ailments, including respiratory infection, lung cancer, idiopathic pulmonary fibrosis, chronic obstructive pulmonary disease, asthma, and acute lung injury. Consequently, the cGAS-STING signaling pathway has emerged as a promising novel therapeutic target, opening up new avenues for the diagnosis and treatment of respiratory disorders. This review focuses on recent advances in our understanding of the cGAS-STING signaling pathway and its intricate involvement in respiratory system diseases.
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Affiliation(s)
- J H Qian
- Department of Respiratory and Critical Care Medicine, Nanjing First Hospital, Nanjing Medical University, Nanjing 210006, China
| | - L Ye
- Department of Respiratory and Critical Care Medicine, Nanjing First Hospital, Nanjing Medical University, Nanjing 210006, China
| | - Y Tan
- Department of Respiratory and Critical Care Medicine, Nanjing First Hospital, Nanjing Medical University, Nanjing 210006, China
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Ye L, Tang X, Zhong J, Li W, Xu T, Xiang C, Gu J, Feng H, Luo Q, Wang G. Unraveling the complex pathophysiology of white matter hemorrhage in intracerebral stroke: A single-cell RNA sequencing approach. CNS Neurosci Ther 2024; 30:e14652. [PMID: 38433011 PMCID: PMC10909628 DOI: 10.1111/cns.14652] [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: 09/30/2023] [Revised: 01/10/2024] [Accepted: 02/10/2024] [Indexed: 03/05/2024] Open
Abstract
AIM This study aims to elucidate the cellular dynamics and pathophysiology of white matter hemorrhage (WMH) in intracerebral hemorrhage (ICH). METHODS Using varying doses of collagenase IV, a consistent rat ICH model characterized by pronounced WMH was established. Verification was achieved through behavioral assays, hematoma volume, and histological evaluations. Single-cell suspensions from the hemorrhaged region of the ipsilateral striatum on day three post-ICH were profiled using single-cell RNA sequencing (scRNA-seq). Gene Ontology (GO) and gene set variation analysis (GSVA) further interpreted the differentially expressed genes (DEGs). RESULTS Following WMH induction, there was a notable increase in the percentage of myeloid cells and oligodendrocyte precursor cells (OPCs), alongside a reduction in the percentage of neurons, microglia, and oligodendrocytes (OLGs). Post-ICH WMH showed homeostatic microglia transitioning into pro-, anti-inflammatory, and proliferative states, influencing lipid metabolic pathways. Myeloid cells amplified chemokine expression, linked with ferroptosis pathways. Macrophages exhibited M1 and M2 phenotypes, and post-WMH, macrophages displayed a predominance of M2 phenotypes, characterized by their anti-inflammatory properties. A surge in OPC proliferation aligned with enhanced ribosomal signaling, suggesting potential reparative responses post-WMH. CONCLUSION The study offers valuable insights into WMH's complex pathophysiology following ICH, highlighting the significance and utility of scRNA-seq in understanding the cellular dynamics and contributing to future cerebrovascular research.
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Affiliation(s)
- Lisha Ye
- Department of Neurophysiology and Neuropharmacology, Institute of Special Environmental Medicine and Co‐innovation Center of NeuroregenerationNantong UniversityNantongJiangsuChina
| | - Xiaoyan Tang
- Department of Neurophysiology and Neuropharmacology, Institute of Special Environmental Medicine and Co‐innovation Center of NeuroregenerationNantong UniversityNantongJiangsuChina
| | - Jun Zhong
- Department of Neurosurgery, Key Laboratory of Neurotrauma, Southwest HospitalThird Military Medical University (Army Medical University)ChongqingChina
| | - Wenfeng Li
- Department of Neurophysiology and Neuropharmacology, Institute of Special Environmental Medicine and Co‐innovation Center of NeuroregenerationNantong UniversityNantongJiangsuChina
| | - Ting Xu
- Department of Neurophysiology and Neuropharmacology, Institute of Special Environmental Medicine and Co‐innovation Center of NeuroregenerationNantong UniversityNantongJiangsuChina
| | - Chao Xiang
- Department of NeurosurgeryZhengzhou University People's Hospital (Henan Provincial People's Hospital)ZhengzhouHenanChina
| | - Jianjun Gu
- Department of NeurosurgeryZhengzhou University People's Hospital (Henan Provincial People's Hospital)ZhengzhouHenanChina
| | - Hua Feng
- Department of Neurosurgery, Key Laboratory of Neurotrauma, Southwest HospitalThird Military Medical University (Army Medical University)ChongqingChina
| | - Qianqian Luo
- Department of Neurophysiology and Neuropharmacology, Institute of Special Environmental Medicine and Co‐innovation Center of NeuroregenerationNantong UniversityNantongJiangsuChina
| | - Guohua Wang
- Department of Neurophysiology and Neuropharmacology, Institute of Special Environmental Medicine and Co‐innovation Center of NeuroregenerationNantong UniversityNantongJiangsuChina
- Department of Neurosurgery, Key Laboratory of Neurotrauma, Southwest HospitalThird Military Medical University (Army Medical University)ChongqingChina
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Zhu C, Zhang S, Shen L, Ye L, Zhan M, Cai S, Huang J, Wang Z, Chen H. Changes in the characteristics and outcomes of high-risk pregnant women who delivered prior to and after China's universal two-child policy: a real-world retrospective study, 2010-2021. BMC Public Health 2024; 24:336. [PMID: 38297279 PMCID: PMC10829306 DOI: 10.1186/s12889-024-17810-9] [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: 03/01/2023] [Accepted: 01/18/2024] [Indexed: 02/02/2024] Open
Abstract
BACKGROUND In 2016, the "universal two-child" policy, allowing each couple to have two children, was introduced in China. The characteristic change of the long-term period after the implementation of the universal two-child policy was unclear. We studied trends in the obstetric characteristics and their potential impact on the rates of cesarean section and preterm birth in the era of China's universal two-child policy. METHODS A tertiary center-based study (2010-2021) retrospectively focused single high-risk pregnancies who delivered from the one-child policy period (OCP, 2010-2015) to the universal two-child policy period (TCP, 2016-2021). A total of 39, 016 pregnancies were enrolled. Maternal demographics, complications, delivery mode and obstetric outcomes were analyzed. Furthermore, logistic regression analysis was used to explore the association between the cesarean section rate, preterm birth and implementation of the universal two-child policy, adjusting maternal age, parity, and fetal distress. RESULTS Ultimately a total of 39,016 pregnant women met the criteria and were included in this analysis. The proportion of women with advanced maternal age (AMA) increased from 14.6% in the OCP to 31.6% in the TCP. The number of multiparous women increased 2-fold in the TCP. In addition, the overall rate of cesarean section significantly decreased over the policy change, regardless of maternal age, whereas the risk of preterm birth significantly increased in the TCP. Adjusting for maternal age, parity and fetal distress, the universal two-child policy showed a significantly favorable impact on the cesarean section rate (RR 0.745, 95%CI (0.714-0.777), P < 0.001). Compared to the OCP group, a higher increase in fetal distress and premature rupture of membranes (PROM) were observed in the TCP group. In pregnancies with AMA, there was no increase in the risk of postpartum hemorrhage, whereas more women who younger than 35 years old suffered from postpartum hemorrhage in TCP. The logistic regression model showed that the universal two-child policy was positively associated with the risk of postpartum hemorrhage (RR: 1.135, 95%CI: 1.025-1.257, P = 0.015). CONCLUSIONS After the implementation of the universal two-child policy in China, the rate of the cesarean section significantly decreased, especially for women under 35 years old. However, the overall risk of postpartum hemorrhage increased in women under 35 years old, while there was no change in women with AMA. Under the new population policy, the prevention of postpartum hemorrhage in the young women should not be neglected.
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Affiliation(s)
- Caixia Zhu
- Department of Obstetrics and Gynecology, The First Affiliated Hospital of Sun Yat-sen University, Guangzhou, China
| | - Shaofeng Zhang
- Department of Obstetrics and Gynecology, The First Affiliated Hospital of Sun Yat-sen University, Guangzhou, China
| | - Lixia Shen
- Department of Obstetrics and Gynecology, The First Affiliated Hospital of Sun Yat-sen University, Guangzhou, China
| | - Lisha Ye
- Department of Obstetrics and Gynecology, The First Affiliated Hospital of Sun Yat-sen University, Guangzhou, China
| | - Minjin Zhan
- Department of Obstetrics and Gynecology, The First Affiliated Hospital of Sun Yat-sen University, Guangzhou, China
| | - Shiqin Cai
- Department of Obstetrics and Gynecology, The First Affiliated Hospital of Sun Yat-sen University, Guangzhou, China
| | - Jingwan Huang
- Department of Obstetrics and Gynecology, The First Affiliated Hospital of Sun Yat-sen University, Guangzhou, China
| | - Zilian Wang
- Department of Obstetrics and Gynecology, The First Affiliated Hospital of Sun Yat-sen University, Guangzhou, China.
| | - Haitian Chen
- Department of Obstetrics and Gynecology, The First Affiliated Hospital of Sun Yat-sen University, Guangzhou, China.
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Liu X, Yan Z, Ye L, Wang K, Li J, Lin Y, Liao C, Liu Y, Li P, Du M. Genomic epidemiological investigation of an outbreak of Serratia marcescens neurosurgical site infections associated with contaminated haircutting toolkits in a hospital barber shop. J Hosp Infect 2023; 142:58-66. [PMID: 37774927 DOI: 10.1016/j.jhin.2023.09.013] [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: 07/19/2023] [Revised: 09/14/2023] [Accepted: 09/17/2023] [Indexed: 10/01/2023]
Abstract
BACKGROUND Nine surgical site infections caused by Serratia marcescens were diagnosed in neurosurgical patients in a 3500-bed hospital between 2nd February and 6th April 2022. OBJECTIVE To trace the source of infections caused by S. marcescens to expedite termination of the outbreak and prevent future epidemics. METHODS A review of all surgical procedures and cultures yielding S. marcescens since February 2022 was conducted. Samples were collected from patients and environmental sources. S. marcescens isolates were characterized by antibiotic susceptibility testing. Whole-genome sequencing (WGS) was used to investigate genetic relationships. Resistance genes, virulence genes and plasmid replicons were identified. RESULTS S. marcescens was isolated from patients' puncture fluid, cerebrospinal fluid and other secretions, and was also cultured from the barbers' haircutting tools, including leather knives, slicker scrapers and razors. In total, 15 isolates were obtained from patients and eight isolates were obtained from haircutting tools. All isolates exhibited identical antibiotic resistance patterns. WGS revealed close clustering among the 23 isolates which differed significantly from previous strains. Three resistance genes and nine virulence-associated genes were detected in all isolates, and 19 of 23 isolates harboured an MOBP-type plasmid. The results confirmed an outbreak of S. marcescens, which was traced to contaminated haircutting tools in the hospital barber shop. The outbreak ended after extensive reinforcement of infection control procedures and re-education of the barbers. CONCLUSIONS These results highlight the risk of postoperative infections related to pre-operative skin preparation, and demonstrate the value of next-generation sequencing tools to expedite outbreak investigations.
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Affiliation(s)
- X Liu
- Chinese PLA Centre for Disease Control and Prevention, Beijing, China
| | - Z Yan
- Department of Disease Prevention and Control, The Second Medical Centre of Chinese PLA General Hospital, Beijing, China
| | - L Ye
- Department of Laboratory Medicine, The First Medical Centre of Chinese PLA General Hospital, Beijing, China
| | - K Wang
- Chinese PLA Centre for Disease Control and Prevention, Beijing, China
| | - J Li
- Chinese PLA Centre for Disease Control and Prevention, Beijing, China
| | - Y Lin
- Chinese PLA Centre for Disease Control and Prevention, Beijing, China
| | - C Liao
- Chinese PLA Centre for Disease Control and Prevention, Beijing, China; School of Public Health, China Medical University, Shenyang, China
| | - Y Liu
- Department of Disease Prevention and Control, The First Medical Centre of Chinese PLA General Hospital, Beijing, China
| | - P Li
- Chinese PLA Centre for Disease Control and Prevention, Beijing, China.
| | - M Du
- Department of Disease Prevention and Control, The First Medical Centre of Chinese PLA General Hospital, Beijing, China.
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Yu JJ, Ma LY, Xu WL, Mei C, Zhou XP, Ye L, Tong HY. [Report of six cases of myeloid tumors combined with pyoderma gangrenosum and literature review]. Zhonghua Xue Ye Xue Za Zhi 2023; 44:945-948. [PMID: 38185526 PMCID: PMC10753263 DOI: 10.3760/cma.j.issn.0253-2727.2023.11.011] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [MESH Headings] [Subscribe] [Scholar Register] [Received: 03/02/2023] [Indexed: 01/09/2024]
Affiliation(s)
- J J Yu
- Department of Hematology, The First Affiliated Hospital of Zhejiang University, Hangzhou 310058, China Department of Hematology, Xiangshan Hospital of the First Affiliated Hospital of Zhejiang University, Ningbo 315700, China
| | - L Y Ma
- Department of Hematology, The First Affiliated Hospital of Zhejiang University, Hangzhou 310058, China
| | - W L Xu
- Department of Hematology, The First Affiliated Hospital of Zhejiang University, Hangzhou 310058, China Department of Hematology, Zhejiang Provincial People's Hospital, Hangzhou 310014, China
| | - C Mei
- Department of Hematology, The First Affiliated Hospital of Zhejiang University, Hangzhou 310058, China
| | - X P Zhou
- Department of Hematology, The First Affiliated Hospital of Zhejiang University, Hangzhou 310058, China
| | - L Ye
- Department of Hematology, The First Affiliated Hospital of Zhejiang University, Hangzhou 310058, China
| | - H Y Tong
- Department of Hematology, The First Affiliated Hospital of Zhejiang University, Hangzhou 310058, China
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Wang W, Feng C, Han R, Wang Z, Ye L, Du Z, Wei H, Zhang F, Peng Z, Yang J. trRosettaRNA: automated prediction of RNA 3D structure with transformer network. Nat Commun 2023; 14:7266. [PMID: 37945552 PMCID: PMC10636060 DOI: 10.1038/s41467-023-42528-4] [Citation(s) in RCA: 6] [Impact Index Per Article: 6.0] [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: 06/08/2023] [Accepted: 10/13/2023] [Indexed: 11/12/2023] Open
Abstract
RNA 3D structure prediction is a long-standing challenge. Inspired by the recent breakthrough in protein structure prediction, we developed trRosettaRNA, an automated deep learning-based approach to RNA 3D structure prediction. The trRosettaRNA pipeline comprises two major steps: 1D and 2D geometries prediction by a transformer network; and 3D structure folding by energy minimization. Benchmark tests suggest that trRosettaRNA outperforms traditional automated methods. In the blind tests of the 15th Critical Assessment of Structure Prediction (CASP15) and the RNA-Puzzles experiments, the automated trRosettaRNA predictions for the natural RNAs are competitive with the top human predictions. trRosettaRNA also outperforms other deep learning-based methods in CASP15 when measured by the Z-score of the Root-Mean-Square Deviation. Nevertheless, it remains challenging to predict accurate structures for synthetic RNAs with an automated approach. We hope this work could be a good start toward solving the hard problem of RNA structure prediction with deep learning.
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Affiliation(s)
- Wenkai Wang
- School of Mathematical Sciences, Nankai University, Tianjin, 300071, China
| | - Chenjie Feng
- MOE Frontiers Science Center for Nonlinear Expectations, Research Center for Mathematics and Interdisciplinary Sciences, Shandong University, Qingdao, 266237, China
- School of Science, Ningxia Medical University, Yinchuan, 750004, China
| | - Renmin Han
- MOE Frontiers Science Center for Nonlinear Expectations, Research Center for Mathematics and Interdisciplinary Sciences, Shandong University, Qingdao, 266237, China
| | - Ziyi Wang
- MOE Frontiers Science Center for Nonlinear Expectations, Research Center for Mathematics and Interdisciplinary Sciences, Shandong University, Qingdao, 266237, China
| | - Lisha Ye
- School of Mathematical Sciences, Nankai University, Tianjin, 300071, China
| | - Zongyang Du
- School of Mathematical Sciences, Nankai University, Tianjin, 300071, China
| | - Hong Wei
- School of Mathematical Sciences, Nankai University, Tianjin, 300071, China
| | - Fa Zhang
- School of Medical Technology, Beijing Institute of Technology, Beijing, 100081, China.
| | - Zhenling Peng
- MOE Frontiers Science Center for Nonlinear Expectations, Research Center for Mathematics and Interdisciplinary Sciences, Shandong University, Qingdao, 266237, China.
| | - Jianyi Yang
- MOE Frontiers Science Center for Nonlinear Expectations, Research Center for Mathematics and Interdisciplinary Sciences, Shandong University, Qingdao, 266237, China.
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Liang WR, Kang R, Zhao X, Zhang L, Jing LP, Yang WR, Li Y, Ye L, Zhou K, Li JP, Fan HH, Yang Y, Xiong YZ, Zhang FK. [Clinical characteristics of aplastic anemia patients with abnormal autoantibodies and the impact of autoantibodies on immunosuppressive therapy response]. Zhonghua Nei Ke Za Zhi 2023; 62:1200-1208. [PMID: 37766439 DOI: 10.3760/cma.j.cn112138-20230201-00045] [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: 09/29/2023]
Abstract
Objective: To investigate the clinical characteristics of patients with acquired aplastic anemia (AA) accompanied by abnormal antinuclear antibody (ANA) and autoantibodies and their effects on the efficacy of immunosuppressive therapy (IST). Method: A retrospective case-control study was conducted, analyzing the clinical data of 291 patients with AA who underwent IST and were screened for autoantibodies at initial diagnosis between January 2018 and December 2019 at Blood Diseases Hospital, Chinese Academy of Medical Sciences. According to the titer of ANA at the initial diagnosis, extracted nuclear antigen antibodies (ENAs) abnormality and the change of ANA titer after treatment, the treatment responses of 3 months and 6 months after IST were compared. The correlation between clinical features and ANA abnormality was analyzed by univariate and multivariate logistic regression analysis. The parameters of univariate analysis P<0.1 were included in multivariate analysis, stepwise regression analysis and subgroup analysis. Results: A total of 291 patients were included in the study, of which 145 (49.83%) were male. Among all patients, 147 (50.52%) tested positive for ANA at initial diagnosis, with titers of 1∶100, 1∶320, and 1∶1 000 observed in 94, 47, and 6 cases, respectively. Female gender, older age, presence of paroxysmal nocturnal hemoglobinuria (PNH) clone, and higher levels of IgG, IgA, and thyroid hormone were significantly associated with ANA positivity at initial diagnosis, while white cell counts, reticulocytes, and free triiodothyronine were significantly lower than that of ANA-negatively patients (all P<0.05). Furthermore, logistic regression analyses revealed that female gender (OR=1.980, 95%CI 1.206-3.277), older age (OR=1.017, 95%CI 1.003-1.032), and presence of PNH clone (OR=1.875, 95%CI 1.049-3.408) were independent risk factors for ANA positivity at initial diagnosis. Subgroup analysis indicated that the risk of ANA positivity at initial diagnosis was even higher in PNH clone-positive patients in the subgroups of females (OR=1.24, 95%CI 1.02-1.51), severe AA (OR=1.26, 95%CI 1.07-1.47), and age≥40 years (OR=1.26, 95%CI 1.05-1.52) (all P<0.05). However, ANA titers at initial diagnosis, presence of other abnormal ENAs, and changes in ANA titers after treatment with IST were not correlated with treatment response (all P>0.05). Conclusions: Approximately 50% of patients with AA had abnormal ANA, and their presence was significantly associated with female gender, older age, and presence of PNH clone at initial diagnosis. However, the presence of abnormal ANA and changes in ANA titers after treatment did not affect the efficacy of IST in patients with AA.
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Affiliation(s)
- W R Liang
- Institute of Hematology & Blood Diseases Hospital, Chinese Academy of Medical Sciences & Peking Union Medical College, State Key Laboratory of Experimental Hematology, National Clinical Research Center for Blood Diseases, Haihe Laboratory of Cell Ecosystem, Tianjin 300020, China
| | - R Kang
- Institute of Hematology & Blood Diseases Hospital, Chinese Academy of Medical Sciences & Peking Union Medical College, State Key Laboratory of Experimental Hematology, National Clinical Research Center for Blood Diseases, Haihe Laboratory of Cell Ecosystem, Tianjin 300020, China
| | - X Zhao
- Institute of Hematology & Blood Diseases Hospital, Chinese Academy of Medical Sciences & Peking Union Medical College, State Key Laboratory of Experimental Hematology, National Clinical Research Center for Blood Diseases, Haihe Laboratory of Cell Ecosystem, Tianjin 300020, China
| | - L Zhang
- Institute of Hematology & Blood Diseases Hospital, Chinese Academy of Medical Sciences & Peking Union Medical College, State Key Laboratory of Experimental Hematology, National Clinical Research Center for Blood Diseases, Haihe Laboratory of Cell Ecosystem, Tianjin 300020, China
| | - L P Jing
- Institute of Hematology & Blood Diseases Hospital, Chinese Academy of Medical Sciences & Peking Union Medical College, State Key Laboratory of Experimental Hematology, National Clinical Research Center for Blood Diseases, Haihe Laboratory of Cell Ecosystem, Tianjin 300020, China
| | - W R Yang
- Institute of Hematology & Blood Diseases Hospital, Chinese Academy of Medical Sciences & Peking Union Medical College, State Key Laboratory of Experimental Hematology, National Clinical Research Center for Blood Diseases, Haihe Laboratory of Cell Ecosystem, Tianjin 300020, China
| | - Y Li
- Institute of Hematology & Blood Diseases Hospital, Chinese Academy of Medical Sciences & Peking Union Medical College, State Key Laboratory of Experimental Hematology, National Clinical Research Center for Blood Diseases, Haihe Laboratory of Cell Ecosystem, Tianjin 300020, China
| | - L Ye
- Institute of Hematology & Blood Diseases Hospital, Chinese Academy of Medical Sciences & Peking Union Medical College, State Key Laboratory of Experimental Hematology, National Clinical Research Center for Blood Diseases, Haihe Laboratory of Cell Ecosystem, Tianjin 300020, China
| | - K Zhou
- Institute of Hematology & Blood Diseases Hospital, Chinese Academy of Medical Sciences & Peking Union Medical College, State Key Laboratory of Experimental Hematology, National Clinical Research Center for Blood Diseases, Haihe Laboratory of Cell Ecosystem, Tianjin 300020, China
| | - J P Li
- Institute of Hematology & Blood Diseases Hospital, Chinese Academy of Medical Sciences & Peking Union Medical College, State Key Laboratory of Experimental Hematology, National Clinical Research Center for Blood Diseases, Haihe Laboratory of Cell Ecosystem, Tianjin 300020, China
| | - H H Fan
- Institute of Hematology & Blood Diseases Hospital, Chinese Academy of Medical Sciences & Peking Union Medical College, State Key Laboratory of Experimental Hematology, National Clinical Research Center for Blood Diseases, Haihe Laboratory of Cell Ecosystem, Tianjin 300020, China
| | - Y Yang
- Institute of Hematology & Blood Diseases Hospital, Chinese Academy of Medical Sciences & Peking Union Medical College, State Key Laboratory of Experimental Hematology, National Clinical Research Center for Blood Diseases, Haihe Laboratory of Cell Ecosystem, Tianjin 300020, China
| | - Y Z Xiong
- Institute of Hematology & Blood Diseases Hospital, Chinese Academy of Medical Sciences & Peking Union Medical College, State Key Laboratory of Experimental Hematology, National Clinical Research Center for Blood Diseases, Haihe Laboratory of Cell Ecosystem, Tianjin 300020, China
| | - F K Zhang
- Institute of Hematology & Blood Diseases Hospital, Chinese Academy of Medical Sciences & Peking Union Medical College, State Key Laboratory of Experimental Hematology, National Clinical Research Center for Blood Diseases, Haihe Laboratory of Cell Ecosystem, Tianjin 300020, China
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Ye L, Ladbury CJ, Tam A, Eustace NJ, Wakabayashi L, Vermeersch J, Salman J, Sun V, Li R, Sampath S, Amini A. Incidence of Major Depression, Suicidal Ideation, and Mental Health Treatment Amongst Cancer Survivors. Int J Radiat Oncol Biol Phys 2023; 117:e272-e273. [PMID: 37785027 DOI: 10.1016/j.ijrobp.2023.06.1242] [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) Receiving a cancer diagnosis and undergoing subsequent treatments can result in a significant psychological burden for cancer patients. However, there is conflicting literature on the incidence of major depression in cancer patients compared to patients without cancer. The purpose of this study was to investigate and further clarify the incidence of major depression, associated treatments, and suicidal ideation in cancer survivors compared to a non-cancer cohort. MATERIALS/METHODS This is a retrospective, population-based study using survey responses from the National Survey on Drug Use and Health collected from January 2015 to December 2019. Survey data sets were queried for all respondents aged 18 years or older who provided a cancer history. Patients with a reported history of cancer ("cancer survivors") were further stratified by whether they reported a "recent" cancer diagnosis within the past 12 months. Survey responses were then evaluated for recent diagnoses of and treatments for major depressive disorder and suicidal ideation. Rates were compared between cancer survivors and participants without cancer using the Pearson χ2 test and multivariable logistic regression models, respectively. RESULTS Among the 212,411 survey respondents identified, 7,635 (3.6%) reported a cancer history, with 1,486 (0.7%) reporting a recent cancer history. The incidence of major depression was not different between cancer survivors and participants without cancer (9.3% vs. 9.2%; p = 0.762), though the incidence was slightly higher amongst recent cancer survivors (10.0% vs. 9.2%; p = 0.259). Among patients diagnosed with major depression, cancer survivors were significantly more likely to receive treatment for depression (78.6% vs. 60.3%, p<0.001), with 72.6% discussing depressive symptoms with a medical professional and 64.3% receiving prescription medication. Suicidal ideation was significantly lower among cancer survivors (5.1% vs. 6.2%, p<0.001) including recent survivors (5.0% vs. 6.2%, p<0.001). Suicidal ideation was higher in patients with underlying major depression in both cancer survivors and participants without cancer (30.6% vs. 35.6%, p = 0.015). On logistic regression, respondents with underlying depression receiving treatment were more likely to have suicidal ideation (OR: 1.49; p<0.001) while having a cancer diagnosis did not correlate with suicidal ideation (OR: 0.87; p = 0.869). CONCLUSION There was no significant overall difference in the incidences of major depression between cancer survivors and patients without cancer. However, one consideration is the under-diagnosis depression among cancer survivors. Symptoms of depression may be overlooked and mistakenly attributed to appropriate grief from a cancer diagnosis. Among patients diagnosed with major depression, cancer survivors were more likely to receive treatment for depression. These results highlight the importance of early depression assessment and treatment for cancer survivors.
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Affiliation(s)
- L Ye
- New York Medical College, Valhalla, NY
| | - C J Ladbury
- Department of Radiation Oncology, City of Hope National Medical Center, Duarte, CA
| | - A Tam
- Department of Radiation Oncology, City of Hope National Medical Center, Duarte, CA
| | - N J Eustace
- Department of Radiation Oncology, City of Hope National Medical Center, Duarte, CA
| | - L Wakabayashi
- Department of Supportive Care Medicine, City of Hope National Medical Center, Duarte, CA
| | - J Vermeersch
- Department of Supportive Care Medicine, City of Hope National Medical Center, Duarte, CA
| | - J Salman
- Division of Psychiatry, City of Hope National Medical Center, Duarte, CA
| | - V Sun
- Division of Population Sciences, City of Hope National Medical Center, Duarte, CA
| | - R Li
- Department of Radiation Oncology, City of Hope National Medical Center, Duarte, CA
| | - S Sampath
- Department of Radiation Oncology, City of Hope National Medical Center, Duarte, CA
| | - A Amini
- Department of Radiation Oncology, City of Hope National Medical Center, Duarte, CA
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Wang W, Ye L, Dou X, Liu H, Han D. Effects of Rumen-Protected Methionine Supplementation on Growth Performance, Nutrient Digestion, Nitrogen Utilisation and Plasma Amino Acid Profiles of Liaoning Cashmere Goats. Animals (Basel) 2023; 13:2995. [PMID: 37835601 PMCID: PMC10571856 DOI: 10.3390/ani13192995] [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: 07/19/2023] [Revised: 09/17/2023] [Accepted: 09/21/2023] [Indexed: 10/15/2023] Open
Abstract
This study determined the effects of rumen-protected methionine (RPM) supplementation on the growth performance, nutrient digestibility, nitrogen (N) utilisation and plasma amino acid profiles of Liaoning cashmere goats during cashmere fibre growth. Twenty-four yearling male cashmere goats (body weight: 35.41 ± 1.13 kg) were randomly assigned to four dietary treatments: a corn-soybean meal basal diet deficient in methionine (negative control, NC) and a basal diet supplemented with 1, 2 and 3 g/kg of RPM. The RPM supplementation quadratically increased the average daily gain (ADG) and decreased the feed to gain ratio (p = 0.001) without affecting the final body weight and dry matter intake. In particular, compared to NC, 2 g/kg RPM supplementation increased the ADG by 35 g/d (p < 0.001) and resulted in the lowest feed to gain ratio (p < 0.001). RPM increased the apparent total tract digestibility of N and decreased the faecal N levels, both in a linear fashion (p = 0.005). Urinary N levels did not have an effect, but the N retention levels increased linearly with PRM (p = 0.032). Moreover, the RPM decreased the plasma urea N levels (p < 0.001) and increased the plasma Met levels quadratically (p < 0.001). In conclusion, RPM supplementation in the diet of cashmere goats can enhance the utilisation of N and improve ADG during the cashmere fibre growing period, and 2 g/kg of RPM in the diet is suggested.
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Affiliation(s)
- Wennan Wang
- College of Animal Science and Veterinary Medicine, Shenyang Agricultural University, Shenyang 110866, China; (W.W.); (L.Y.)
| | - Lisha Ye
- College of Animal Science and Veterinary Medicine, Shenyang Agricultural University, Shenyang 110866, China; (W.W.); (L.Y.)
| | - Xingtang Dou
- Liaoning Province Modern Agricultural Production Base and Construction Engineering Center, Liaoyang 111000, China;
- Liaoning Cashmere Goat Breeding Farm Co., Ltd., Liaoyang 111000, China
| | - Haiying Liu
- College of Animal Science and Veterinary Medicine, Shenyang Agricultural University, Shenyang 110866, China; (W.W.); (L.Y.)
| | - Di Han
- Liaoning Province Modern Agricultural Production Base and Construction Engineering Center, Liaoyang 111000, China;
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11
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Cui NX, Ye L, Sun JY. [Attach importance to the moderate diagnosis and treatment of multiple pulmonary nodules]. Zhonghua Yu Fang Yi Xue Za Zhi 2023; 57:1181-1185. [PMID: 37574310 DOI: 10.3760/cma.j.cn112150-20230130-00064] [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: 08/15/2023]
Abstract
With the popularization of chest computed tomography examination in physical examination, the detection rate of multiple pulmonary nodules has significantly increased. However, there are no unified guidelines or consensus for the diagnosis and treatment of multiple pulmonary nodules, and the clinical diagnosis and treatment of such patients are often inadequate or excessive. Therefore, it is of great clinical significance to attach importance to the moderate diagnosis and treatment of multiple pulmonary nodules and formulate unified clinical practice standards for the prevention of lung cancer and the diagnosis and treatment of multiple pulmonary nodules.
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Affiliation(s)
- N X Cui
- Department of Respiratory Endoscopy,Shanghai Chest Hospital, School of Medicine, Shanghai Jiao Tong University, Shanghai 200030, China Department of Respiratory and Critical Care Medicine,Shanghai Chest Hospital, School of Medicine, Shanghai Jiao Tong University, Shanghai 200030, China
| | - L Ye
- Department of Respiratory Endoscopy,Shanghai Chest Hospital, School of Medicine, Shanghai Jiao Tong University, Shanghai 200030, China Department of Respiratory and Critical Care Medicine,Shanghai Chest Hospital, School of Medicine, Shanghai Jiao Tong University, Shanghai 200030, China
| | - J Y Sun
- Department of Respiratory Endoscopy,Shanghai Chest Hospital, School of Medicine, Shanghai Jiao Tong University, Shanghai 200030, China Department of Respiratory and Critical Care Medicine,Shanghai Chest Hospital, School of Medicine, Shanghai Jiao Tong University, Shanghai 200030, China
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12
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Luo WQ, Ye L, Cai GX. [Molecular mechanism and treatment strategy of colorectal cancer peritoneal metastasis]. Zhonghua Wei Chang Wai Ke Za Zhi 2023; 26:423-428. [PMID: 37217349 DOI: 10.3760/cma.j.cn441530-20230220-00047] [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: 05/24/2023]
Abstract
Peritoneal metastatic colorectal cancer (pmCRC) is common and has been considered as the terminal stage. The theory of "seed and soil" and "oligometastasis" are the acknowledged hypotheses of pathogenesis of pmCRC. In recent years, the molecular mechanism related to pmCRC has been deeply researched. We realize that the formation of peritoneal metastasis, from detachment of cells from primary tumor to mesothelial adhesion and invasion, depends on the interplay of multiple molecules. Various components of tumor microenvironment also work as regulators in this process. Cytoreductive surgery (CRS) and hyperthermic intraperitoneal chemotherapy (HIPEC) have been widely used in clinical practice as an established treatment for pmCRC. Besides systemic chemotherapy, targeted and immunotherapeutic drugs are also increasingly used to improve prognosis. This article reviews the molecular mechanisms and treatment strategies related to pmCRC.
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Affiliation(s)
- W Q Luo
- Department of Colorectal Surgery, Fudan University Shanghai Cancer Center, Shanghai 200032, China
| | - L Ye
- Department of Colorectal Surgery, Fudan University Shanghai Cancer Center, Shanghai 200032, China
| | - G X Cai
- Department of Colorectal Surgery, Fudan University Shanghai Cancer Center, Shanghai 200032, China
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13
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Shi W, Liu X, Zhang G, Ye L, Zhou R, Li Y, Yu L. [RITA selectively inhibits proliferation of BAP1-deficient cutaneous melanoma cells in vitro]. Nan Fang Yi Ke Da Xue Xue Bao 2023; 43:710-717. [PMID: 37313811 DOI: 10.12122/j.issn.1673-4254.2023.05.05] [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: 06/15/2023]
Abstract
OBJECTIVE To screen for small molecular compounds with selective inhibitory activity against cutaneous melanoma cells with BAP1 deletion. METHODS Cutaneous melanoma cells expressing wild-type BAP1 were selected to construct a BAP1 knockout cell model using CRISPR-Cas9 system, and small molecules with selective inhibitory activity against BAP1 knockout cells were screened from a compound library using MTT assay. Rescue experiment was carried out to determine whether the sensitivity of BAP1 knockout cells to the candidate compounds was directly related to BAP1 deletion. The effects of the candidate compounds on cell cycle and apoptosis were detected with flow cytometry, and the protein expressions in the cells were analyzed with Western blotting. RESULTS The p53 activator RITA from the compound library was shown to selectively inhibit the viability of BAP1 knockout cells. Overexpression of wild-type BAP1 reversed the sensitivity of BAP1 knockout cells to RITA, while overexpression of the mutant BAP1 (C91S) with inactivated ubiquitinase did not produce any rescue effect. Compared with the control cells expressing wild-type BAP1, BAP1 knockout cells were more sensitive to RITA-induced cell cycle arrest and apoptosis (P < 0.0001) and showed an increased expression of p53 protein, which was further increased by RITA treatment (P < 0.0001). CONCLUSION Loss of BAP1 results in the sensitivity of cutaneous melanoma cells to p53 activator RITA. In melanoma cells, the activity of ubiquitinase in BAP1 is directly related to their sensitivity to RITA. An increased expression of p53 protein induced by BAP1 knockout is probably a key reason for RITA sensitivity of melanoma cells, suggesting the potential of RITA as a targeted therapeutic agent for cutaneous melanoma carrying BAP1-inactivating mutations.
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Affiliation(s)
- W Shi
- Innovative Group in Drug Design and Discovery Research, School of Pharmaceutical Sciences, Southern Medical University, Guangzhou 510515, China
| | - X Liu
- Clinical Pharmacy Center, Nanfang Hospital, Southern Medical University, Guangzhou 510515, China
| | - G Zhang
- Innovative Group in Drug Design and Discovery Research, School of Pharmaceutical Sciences, Southern Medical University, Guangzhou 510515, China
| | - L Ye
- Clinical Pharmacy Center, Nanfang Hospital, Southern Medical University, Guangzhou 510515, China
| | - R Zhou
- Innovative Group in Drug Design and Discovery Research, School of Pharmaceutical Sciences, Southern Medical University, Guangzhou 510515, China
| | - Y Li
- Clinical Pharmacy Center, Nanfang Hospital, Southern Medical University, Guangzhou 510515, China
| | - L Yu
- Innovative Group in Drug Design and Discovery Research, School of Pharmaceutical Sciences, Southern Medical University, Guangzhou 510515, China
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14
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Ye JM, Zhou JH, Wang J, Ye LL, Li CF, Wu B, Qi L, Chen C, Cui J, Qiu YQ, Liu SX, Li FY, Luo YF, Lyu YB, Ye L, Shi XM. [Association of greenness, nitrogen dioxide with the prevalence of hypertension among the elderly over 65 years old in China]. Zhonghua Yu Fang Yi Xue Za Zhi 2023; 57:641-648. [PMID: 37165811 DOI: 10.3760/cma.j.cn112150-20230118-00044] [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: 05/12/2023]
Abstract
Objective: To investigate the association of mixed exposure to greenness and nitrogen dioxide(NO2) and hypertension among the older adults aged 65 years and over in China. Methods: The study subjects were from the Chinese Longitudinal Healthy Longevity Survey from 2017 to 2018. A total of 15 423 older adults aged 65 years and over meeting the criteria were finally included in the study. A questionnaire survey was used to collect information on demographic characteristics, lifestyle habits and self-reported prevalence of hypertension. Blood pressure values were obtained through physical examination. The level of normalized difference vegetation index(NDVI) was measured by the Medium-resolution Imaging Spectral Radiator(MODIS) of the National Aeronautics and Space Administration(NASA). The concentration of NO2 was from China's surface air pollutant data set. Meteorological data was from NASA MERRA-2. The exposure to NDVI and NO2 for each study subject was calculated based on the area within a 1 km radius around their residence. The association between mixed exposure of NDVI and NO2 as well as their interaction and hypertension in older adults was analyzed by using the multivariate logistic regression model. The restrictive cubic spline(RCS) function was used to explore the exposure-response relationship between greenness and NO2 and the risk of hypertension in study subjects. Results: The mean age of 15 423 older adults were (85.6±11.6). Women accounted for 56.3%(8 685/15 423) and 55.6%(8 578/15 423) lived in urban areas. The mean time of residence was (60.9±28.5) years. 59.8% of participants were with hypertension. The mean NDVI level was 0.41±0.13, and the mean NO2 concentration was (32.18±10.36) μg/cm3. The results of multivariate logistic regression analysis showed that NDVI was inversely and linearly associated with the hypertension in older adults, with the OR(95%CI) value of 0.959(0.928-0.992). Compared with the T1 group of NDVI, the risk of hypertension was lower in the T3 group, with the OR(95%CI) value of 0.852(0.769-0.944), and the trend test was statistically significant(P<0.05). Compared with the T1 group of NO2, the risk of hypertension was higher in the T2 and T3 groups, with OR(95%CI) values of 1.160(1.055-1.275) and 1.244(1.111-1.393), and the trend test was statistically significant (P<0.05). The result of the RCS showed that NDVI was inversely and linearly associated with hypertension in older adults. NO2 was nonlinearly associated with hypertension in older adults. The interaction analysis showed that NDVI and NO2 had a negative multiplicative interaction on the risk of hypertension, with OR(95%CI) value of 0.995(0.992-0.997). Conclusion: Exposure to greenness and NO2 are associated with hypertension in older adults.
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Affiliation(s)
- J M Ye
- China CDC Key Laboratory of Environment and Population Health/National Institute of Environmental Health, Chinese Center for Disease Control and Prevention, Beijing 100021, China School of Public Health, Jilin University, Changchun 130012, China
| | - J H Zhou
- China CDC Key Laboratory of Environment and Population Health/National Institute of Environmental Health, Chinese Center for Disease Control and Prevention, Beijing 100021, China
| | - J Wang
- China CDC Key Laboratory of Environment and Population Health/National Institute of Environmental Health, Chinese Center for Disease Control and Prevention, Beijing 100021, China
| | - L L Ye
- China CDC Key Laboratory of Environment and Population Health/National Institute of Environmental Health, Chinese Center for Disease Control and Prevention, Beijing 100021, China School of Population Medicine and Public Health, Chinese Academy of Medical Sciences and Peking Union Medical College, Beijing 100730, China
| | - C F Li
- China CDC Key Laboratory of Environment and Population Health/National Institute of Environmental Health, Chinese Center for Disease Control and Prevention, Beijing 100021, China School of Public Health, Anhui Medical University, He Fei 230032, China
| | - B Wu
- China CDC Key Laboratory of Environment and Population Health/National Institute of Environmental Health, Chinese Center for Disease Control and Prevention, Beijing 100021, China Center for Global Health, School of Public Health, Nanjing Medical University, Nanjing 211166, China
| | - L Qi
- China CDC Key Laboratory of Environment and Population Health/National Institute of Environmental Health, Chinese Center for Disease Control and Prevention, Beijing 100021, China
| | - C Chen
- China CDC Key Laboratory of Environment and Population Health/National Institute of Environmental Health, Chinese Center for Disease Control and Prevention, Beijing 100021, China
| | - J Cui
- China CDC Key Laboratory of Environment and Population Health/National Institute of Environmental Health, Chinese Center for Disease Control and Prevention, Beijing 100021, China School of Population Medicine and Public Health, Chinese Academy of Medical Sciences and Peking Union Medical College, Beijing 100730, China
| | - Y Q Qiu
- China CDC Key Laboratory of Environment and Population Health/National Institute of Environmental Health, Chinese Center for Disease Control and Prevention, Beijing 100021, China School of Public Health, Southern Medical University, Guangzhou 510515, China
| | - S X Liu
- China CDC Key Laboratory of Environment and Population Health/National Institute of Environmental Health, Chinese Center for Disease Control and Prevention, Beijing 100021, China School of Public Health, Southern Medical University, Guangzhou 510515, China
| | - F Y Li
- China CDC Key Laboratory of Environment and Population Health/National Institute of Environmental Health, Chinese Center for Disease Control and Prevention, Beijing 100021, China School of Public Health, China Medical University, Shenyang 110013, China
| | - Y F Luo
- China CDC Key Laboratory of Environment and Population Health/National Institute of Environmental Health, Chinese Center for Disease Control and Prevention, Beijing 100021, China School of Public Health, Anhui Medical University, He Fei 230032, China
| | - Y B Lyu
- China CDC Key Laboratory of Environment and Population Health/National Institute of Environmental Health, Chinese Center for Disease Control and Prevention, Beijing 100021, China
| | - L Ye
- School of Public Health, Jilin University, Changchun 130012, China
| | - X M Shi
- China CDC Key Laboratory of Environment and Population Health/National Institute of Environmental Health, Chinese Center for Disease Control and Prevention, Beijing 100021, China
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15
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Liu X, Li Y, Zhao X, Yang Y, Zhang L, Jing LP, Ye L, Zhou K, Li JP, Peng GX, Fan HH, Yang WR, Xiong YZ, Zhang FK. [Clinical and gene mutation characteristics of patients with hereditary ellipsocytosis: nine cases report and literature review]. Zhonghua Xue Ye Xue Za Zhi 2023; 44:316-320. [PMID: 37357001 DOI: 10.3760/cma.j.issn.0253-2727.2023.04.009] [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: 06/27/2023]
Abstract
Objective: To report gene mutations in nine patients with hereditary elliptocytosis (HE) and analyze the characteristics of pathogenic gene mutations in HE. Methods: The clinical and gene mutations of nine patients clinically diagnosed with HE at Institute of Hematology & Blood Diseases Hospital from June 2018 to February 2022 were reported and verified by next-generation sequencing to analyze the relationship between gene mutations and clinical phenotypes. Results: Erythrocyte membrane protein gene mutations were detected among nine patients with HE, including six with SPTA1 mutation, one with SPTB mutation, one with EPB41 mutation, and one with chromosome 20 copy deletion. A total of 11 gene mutation sites were involved, including 6 known mutations and 5 novel mutations. The five novel mutations included SPTA1: c.1247A>C (p. K416T) in exon 9, c.1891delG (p. A631fs*17) in exon 15, E6-E12 Del; SPTB: c.154C>T (p. R52W) ; and EPB41: c.1636A>G (p. I546V) . Three of the six patients with the SPTA1 mutation were SPTA1 exon 9 mutation. Conclusion: SPTA1 is the most common mutant gene in patients with HE.
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Affiliation(s)
- X Liu
- State Key Laboratory of Experimental Hematology, National Clinical Research Center for Blood Diseases, Haihe Laboratory of Cell Ecosystem, Institute of Hematology & Blood Diseases Hospital, Chinese Academy of Medical Sciences & Peking Union Medical College, Tianjin 300020, China
| | - Y Li
- State Key Laboratory of Experimental Hematology, National Clinical Research Center for Blood Diseases, Haihe Laboratory of Cell Ecosystem, Institute of Hematology & Blood Diseases Hospital, Chinese Academy of Medical Sciences & Peking Union Medical College, Tianjin 300020, China
| | - X Zhao
- State Key Laboratory of Experimental Hematology, National Clinical Research Center for Blood Diseases, Haihe Laboratory of Cell Ecosystem, Institute of Hematology & Blood Diseases Hospital, Chinese Academy of Medical Sciences & Peking Union Medical College, Tianjin 300020, China
| | - Y Yang
- State Key Laboratory of Experimental Hematology, National Clinical Research Center for Blood Diseases, Haihe Laboratory of Cell Ecosystem, Institute of Hematology & Blood Diseases Hospital, Chinese Academy of Medical Sciences & Peking Union Medical College, Tianjin 300020, China
| | - L Zhang
- State Key Laboratory of Experimental Hematology, National Clinical Research Center for Blood Diseases, Haihe Laboratory of Cell Ecosystem, Institute of Hematology & Blood Diseases Hospital, Chinese Academy of Medical Sciences & Peking Union Medical College, Tianjin 300020, China
| | - L P Jing
- State Key Laboratory of Experimental Hematology, National Clinical Research Center for Blood Diseases, Haihe Laboratory of Cell Ecosystem, Institute of Hematology & Blood Diseases Hospital, Chinese Academy of Medical Sciences & Peking Union Medical College, Tianjin 300020, China
| | - L Ye
- State Key Laboratory of Experimental Hematology, National Clinical Research Center for Blood Diseases, Haihe Laboratory of Cell Ecosystem, Institute of Hematology & Blood Diseases Hospital, Chinese Academy of Medical Sciences & Peking Union Medical College, Tianjin 300020, China
| | - K Zhou
- State Key Laboratory of Experimental Hematology, National Clinical Research Center for Blood Diseases, Haihe Laboratory of Cell Ecosystem, Institute of Hematology & Blood Diseases Hospital, Chinese Academy of Medical Sciences & Peking Union Medical College, Tianjin 300020, China
| | - J P Li
- State Key Laboratory of Experimental Hematology, National Clinical Research Center for Blood Diseases, Haihe Laboratory of Cell Ecosystem, Institute of Hematology & Blood Diseases Hospital, Chinese Academy of Medical Sciences & Peking Union Medical College, Tianjin 300020, China
| | - G X Peng
- State Key Laboratory of Experimental Hematology, National Clinical Research Center for Blood Diseases, Haihe Laboratory of Cell Ecosystem, Institute of Hematology & Blood Diseases Hospital, Chinese Academy of Medical Sciences & Peking Union Medical College, Tianjin 300020, China
| | - H H Fan
- State Key Laboratory of Experimental Hematology, National Clinical Research Center for Blood Diseases, Haihe Laboratory of Cell Ecosystem, Institute of Hematology & Blood Diseases Hospital, Chinese Academy of Medical Sciences & Peking Union Medical College, Tianjin 300020, China
| | - W R Yang
- State Key Laboratory of Experimental Hematology, National Clinical Research Center for Blood Diseases, Haihe Laboratory of Cell Ecosystem, Institute of Hematology & Blood Diseases Hospital, Chinese Academy of Medical Sciences & Peking Union Medical College, Tianjin 300020, China
| | - Y Z Xiong
- State Key Laboratory of Experimental Hematology, National Clinical Research Center for Blood Diseases, Haihe Laboratory of Cell Ecosystem, Institute of Hematology & Blood Diseases Hospital, Chinese Academy of Medical Sciences & Peking Union Medical College, Tianjin 300020, China
| | - F K Zhang
- State Key Laboratory of Experimental Hematology, National Clinical Research Center for Blood Diseases, Haihe Laboratory of Cell Ecosystem, Institute of Hematology & Blood Diseases Hospital, Chinese Academy of Medical Sciences & Peking Union Medical College, Tianjin 300020, China
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Yuan H, Yao B, Li JT, Zhu WL, Ren DL, Wang H, Ma TH, Chen SQ, Wu JJ, Tao YR, Ye L, Wang ZY, Qu H, Ma B, Zhong WW, Wang DJ, Qiu JG. [Observational study on perioperative outcomes of pelvic exenteration]. Zhonghua Wei Chang Wai Ke Za Zhi 2023; 26:260-267. [PMID: 36925126 DOI: 10.3760/cma.j.cn441530-20221024-00428] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Subscribe] [Scholar Register] [Indexed: 03/18/2023]
Abstract
Objective: To investigate the surgical indications and perioperative clinical outcomes of pelvic exenteration (PE) for locally advanced, recurrent pelvic malignancies and complex pelvic fistulas. Methods: This was a descriptive study.The indications for performing PE were: (1) locally advanced, recurrent pelvic malignancy or complex pelvic fistula diagnosed preoperatively by imaging and pathological examination of a biopsy; (2)preoperative agreement by a multi-disciplinary team that non-surgical and conventional surgical treatment had failed and PE was required; and (3) findings on intraoperative exploration confirming this conclusion.Contraindications to this surgical procedure comprised cardiac and respiratory dysfunction, poor nutritional status,and mental state too poor to tolerate the procedure.Clinical data of 141 patients who met the above criteria, had undergone PE in the Sixth Affiliated Hospital of Sun Yat-sen University from January 2018 to September 2022, had complete perioperative clinical data, and had given written informed consent to the procedure were collected,and the operation,relevant perioperative variables, postoperative pathological findings (curative resection), and early postoperative complications were analyzed. Results: Of the 141 included patients, 43 (30.5%) had primary malignancies, 61 (43.3%) recurrent malignancies, 28 (19.9%) complex fistulas after radical resection of malignancies,and nine (6.4%)complex fistulas caused by benign disease. There were 79 cases (56.0%) of gastrointestinal tumors, 30 cases (21.3%) of reproductive tumors, 16 cases (11.3%) of urinary tumors, and 7 cases (5.0%) of other tumors such mesenchymal tissue tumors. Among the 104 patients with primary and recurrent malignancies, 15 patients with severe complications of pelvic perineum of advanced tumors were planned to undergo palliative PE surgery for symptom relief after preoperative assessment of multidisciplinary team; the other 89 patients were evaluated for radical PE surgery. All surgeries were successfully completed. Total PE was performed on 73 patients (51.8%),anterior PE on 22 (15.6%),and posterior PE in 46 (32.6%). The median operative time was 576 (453,679) minutes, median intraoperative blood loss 500 (200, 1 200) ml, and median hospital stay 17 (13.0,30.5)days.There were no intraoperative deaths. Of the 89 patients evaluated for radical PE surgery, the radical R0 resection was achieved in 64 (71.9%) of them, R1 resection in 23 (25.8%), and R2 resection in two (2.2%). One or more postoperative complications occurred in 85 cases (60.3%), 32 (22.7%)of which were Clavien-Dindo grade III and above.One patient (0.7%)died during the perioperative period. Conclusion: PE is a valid option for treating locally advanced or recurrent pelvic malignancies and complex pelvic fistulas.
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Affiliation(s)
- H Yuan
- Department of Urology, the Sixth Affiliated Hospital, Sun Yat-sen University,Guangzhou 510655, China
| | - B Yao
- Department of Urology, the Sixth Affiliated Hospital, Sun Yat-sen University,Guangzhou 510655, China
| | - J T Li
- Department of Urology, the Sixth Affiliated Hospital, Sun Yat-sen University,Guangzhou 510655, China
| | - W L Zhu
- Department of Urology, the Sixth Affiliated Hospital, Sun Yat-sen University,Guangzhou 510655, China
| | - D L Ren
- Department of Pelvic Floor Diseases, the Sixth Affiliated Hospital, Sun Yat-sen University, Guangzhou 510655, China
| | - H Wang
- Department of Colorectal Surgery, the Sixth Affiliated Hospital, Sun Yat-sen University, Guangzhou 510655, China
| | - T H Ma
- Department of Colorectal Surgery, the Sixth Affiliated Hospital, Sun Yat-sen University, Guangzhou 510655, China
| | - S Q Chen
- Department of Gynecology, the Sixth Affiliated Hospital, Sun Yat-sen University, Guangzhou 510655, China
| | - J J Wu
- Department of Urology, the Sixth Affiliated Hospital, Sun Yat-sen University,Guangzhou 510655, China
| | - Y R Tao
- Department of Urology, the Sixth Affiliated Hospital, Sun Yat-sen University,Guangzhou 510655, China
| | - L Ye
- Department of Urology, the Sixth Affiliated Hospital, Sun Yat-sen University,Guangzhou 510655, China
| | - Z Y Wang
- Department of Urology, the Sixth Affiliated Hospital, Sun Yat-sen University,Guangzhou 510655, China
| | - H Qu
- Department of Urology, the Sixth Affiliated Hospital, Sun Yat-sen University,Guangzhou 510655, China
| | - B Ma
- Department of Urology, the Sixth Affiliated Hospital, Sun Yat-sen University,Guangzhou 510655, China
| | - W W Zhong
- Department of Urology, the Sixth Affiliated Hospital, Sun Yat-sen University,Guangzhou 510655, China
| | - D J Wang
- Department of Urology, the Sixth Affiliated Hospital, Sun Yat-sen University,Guangzhou 510655, China
| | - J G Qiu
- Department of Urology, the Sixth Affiliated Hospital, Sun Yat-sen University,Guangzhou 510655, China
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Abstract
As a crucial source of mesenchymal stromal cells, CD51+/PDGFR-α+ human dental pulp stromal cells (hDPSCs) are promising seeding cells for regenerative medicine. Cellular senescence hinders the translational application of hDPSCs. However, it remains unclear whether chronological and replicative senescence results in distinct outcomes for hDPSCs. To investigate the influence of senescence on DPSCs, we used transgenic lineage tracking, immunofluorescence, flow cytometry, and various molecular experiments to depict the dynamic pattern of hDPSCs in mice and humans during chronological and replicative senescence. The data demonstrated that CD51+/PDGFR-α+ cells were decreased in chronological senescence. Impaired self-renewal and higher ossificatory differentiation were observed in chronologically senescent hDPSCs. Regarding replicative senescence, a decreased CD51+ but upregulated PDGFR-α+ population was observed in culture. Furthermore, weakened self-renewal and osteogenic differentiation were observed in replicatively senescent hDPSCs. In summary, CD51+/PDGFR-α+ hDPSCs decrease in chronologically aged pulp, with self-renewal that is impaired without impaired osteogenic differentiation. However, replicative senescence has a different impact: self-renewal and ossific differentiation are impaired and CD51 expression is reduced, but PDGFR-α expression remains. These findings demonstrate the different outcomes of chronological and replicative senescence in CD51+/PDGFR-α+ hDPSCs. Furthermore, we revealed that impaired self-renewal is the core dysfunction for both types of cellular aging and that osteogenic differentiation capability differs between them. This study provides insights into the influence of chronological and replicative senescence on the characteristics and capabilities of hDPSCs. These advances provide fundamental knowledge to alleviate cellular aging of CD51+/PDGFR-α+ hDPSCs and promote their translational applications.
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Affiliation(s)
- L Yao
- State Key Laboratory of Oral Diseases and National Clinical Research Center for Oral Diseases, West China Hospital of Stomatology, Sichuan University, Chengdu, China.,Department of Endodontics, West China Hospital of Stomatology, Sichuan University, Chengdu, China
| | - F Li
- State Key Laboratory of Oral Diseases and National Clinical Research Center for Oral Diseases, West China Hospital of Stomatology, Sichuan University, Chengdu, China
| | - C Yu
- State Key Laboratory of Oral Diseases and National Clinical Research Center for Oral Diseases, West China Hospital of Stomatology, Sichuan University, Chengdu, China.,Department of Endodontics, West China Hospital of Stomatology, Sichuan University, Chengdu, China
| | - H Wang
- State Key Laboratory of Oral Diseases and National Clinical Research Center for Oral Diseases, West China Hospital of Stomatology, Sichuan University, Chengdu, China
| | - Y Wang
- State Key Laboratory of Oral Diseases and National Clinical Research Center for Oral Diseases, West China Hospital of Stomatology, Sichuan University, Chengdu, China
| | - L Ye
- State Key Laboratory of Oral Diseases and National Clinical Research Center for Oral Diseases, West China Hospital of Stomatology, Sichuan University, Chengdu, China.,Department of Endodontics, West China Hospital of Stomatology, Sichuan University, Chengdu, China
| | - F Yu
- State Key Laboratory of Oral Diseases and National Clinical Research Center for Oral Diseases, West China Hospital of Stomatology, Sichuan University, Chengdu, China.,Department of Endodontics, West China Hospital of Stomatology, Sichuan University, Chengdu, China
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18
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Yang XW, Zhou K, Li JP, Fan HH, Yang WR, Ye L, Li Y, Li Y, Peng GX, Yang Y, Xiong YZ, Zhao X, Jing LP, Zhang L, Zhang FK. [The effect of on-demand glucocorticoid strategy on the occurrence and outcome of p-ALG-associated serum sickness in aplastic anemia]. Zhonghua Xue Ye Xue Za Zhi 2023; 44:211-215. [PMID: 37356982 PMCID: PMC10119721 DOI: 10.3760/cma.j.issn.0253-2727.2023.03.006] [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] [Received: 05/13/2022] [Indexed: 06/27/2023]
Abstract
Objective: To investigate the effect of on-demand glucocorticoid strategy on the occurrence and outcome of porcine anti-lymphocyte globulin (p-ALG) -associated serum sickness in aplastic anemia (AA) . Methods: The data of AA patients who received in the Anemia Diagnosis and Treatment Center of Haematology Hospital, CAMS & PUMC from January 2019 to January 2022 were collected. Among them, 35 patients were enrolled in the on-demand group, with the glucocorticoid strategy adjusted based on the occurrence and severity of serum sickness; 105 patients were recruited in the usual group by matching the age and disease diagnosis according to 1∶3 ratio in patients who received a conventional glucocorticoid strategy in the same period. The incidences, clinical manifestations, treatment outcomes of serum sickness, and glucocorticoid dosage between the two groups were analyzed. Results: The incidences of serum sickness in the on-demand group and the usual group were 65.7% and 54.3% (P=0.237) , respectively. The median onset of serum sickness was the same [12 (9, 13) d vs the 12 (10, 13) d, P=0.552], and clinical symptoms and signs, primarily joint, and/or muscle pain, fever, and rash were similar. Severity grades were both dominated by Grades 1-2 (62.8% vs 51.4%) , with only a few Grade 3 (2.9% vs 2.9%) , and no Grades 4-5. No significant difference in the serum sickness distribution (P=0.530) . The median duration of serum sickness was the same [5 (3, 7) d vs 5 (3, 6) d, P=0.529], and all patients were completely cured after glucocorticoid therapy. In patients without serum sickness, the average dosage of prophylactic glucocorticoid per patient in the usual group was (469.48 ±193.57) mg (0 in the on-demand group) . When compared to the usual group, the average therapeutic glucocorticoid dosage per patient in the on-demand group was significantly lower [ (125.91±77.70) mg vs (653.90±285.56) mg, P<0.001]. Conclusions: In comparison to the usual glucocorticoid strategy, the on-demand treatment strategy could significantly reduce glucocorticoid dosage without increasing the incidence of serum sickness; in addition, the duration of serum sickness and the incidence of above Grade 2-serum sickness were similar.
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Affiliation(s)
- X W Yang
- State Key Laboratory of Experimental Hematology, National Clinical Research Center for Blood Diseases, Haihe Laboratory of Cell Ecosystem, Institute of Hematology & Blood Diseases Hospital, Chinese Academy of Medical Sciences & Peking Union Medical College, Tianjin 300020, China
| | - K Zhou
- State Key Laboratory of Experimental Hematology, National Clinical Research Center for Blood Diseases, Haihe Laboratory of Cell Ecosystem, Institute of Hematology & Blood Diseases Hospital, Chinese Academy of Medical Sciences & Peking Union Medical College, Tianjin 300020, China
| | - J P Li
- State Key Laboratory of Experimental Hematology, National Clinical Research Center for Blood Diseases, Haihe Laboratory of Cell Ecosystem, Institute of Hematology & Blood Diseases Hospital, Chinese Academy of Medical Sciences & Peking Union Medical College, Tianjin 300020, China
| | - H H Fan
- State Key Laboratory of Experimental Hematology, National Clinical Research Center for Blood Diseases, Haihe Laboratory of Cell Ecosystem, Institute of Hematology & Blood Diseases Hospital, Chinese Academy of Medical Sciences & Peking Union Medical College, Tianjin 300020, China
| | - W R Yang
- State Key Laboratory of Experimental Hematology, National Clinical Research Center for Blood Diseases, Haihe Laboratory of Cell Ecosystem, Institute of Hematology & Blood Diseases Hospital, Chinese Academy of Medical Sciences & Peking Union Medical College, Tianjin 300020, China
| | - L Ye
- State Key Laboratory of Experimental Hematology, National Clinical Research Center for Blood Diseases, Haihe Laboratory of Cell Ecosystem, Institute of Hematology & Blood Diseases Hospital, Chinese Academy of Medical Sciences & Peking Union Medical College, Tianjin 300020, China
| | - Y Li
- State Key Laboratory of Experimental Hematology, National Clinical Research Center for Blood Diseases, Haihe Laboratory of Cell Ecosystem, Institute of Hematology & Blood Diseases Hospital, Chinese Academy of Medical Sciences & Peking Union Medical College, Tianjin 300020, China
| | - Y Li
- State Key Laboratory of Experimental Hematology, National Clinical Research Center for Blood Diseases, Haihe Laboratory of Cell Ecosystem, Institute of Hematology & Blood Diseases Hospital, Chinese Academy of Medical Sciences & Peking Union Medical College, Tianjin 300020, China
| | - G X Peng
- State Key Laboratory of Experimental Hematology, National Clinical Research Center for Blood Diseases, Haihe Laboratory of Cell Ecosystem, Institute of Hematology & Blood Diseases Hospital, Chinese Academy of Medical Sciences & Peking Union Medical College, Tianjin 300020, China
| | - Y Yang
- State Key Laboratory of Experimental Hematology, National Clinical Research Center for Blood Diseases, Haihe Laboratory of Cell Ecosystem, Institute of Hematology & Blood Diseases Hospital, Chinese Academy of Medical Sciences & Peking Union Medical College, Tianjin 300020, China
| | - Y Z Xiong
- State Key Laboratory of Experimental Hematology, National Clinical Research Center for Blood Diseases, Haihe Laboratory of Cell Ecosystem, Institute of Hematology & Blood Diseases Hospital, Chinese Academy of Medical Sciences & Peking Union Medical College, Tianjin 300020, China
| | - X Zhao
- State Key Laboratory of Experimental Hematology, National Clinical Research Center for Blood Diseases, Haihe Laboratory of Cell Ecosystem, Institute of Hematology & Blood Diseases Hospital, Chinese Academy of Medical Sciences & Peking Union Medical College, Tianjin 300020, China
| | - L P Jing
- State Key Laboratory of Experimental Hematology, National Clinical Research Center for Blood Diseases, Haihe Laboratory of Cell Ecosystem, Institute of Hematology & Blood Diseases Hospital, Chinese Academy of Medical Sciences & Peking Union Medical College, Tianjin 300020, China
| | - L Zhang
- State Key Laboratory of Experimental Hematology, National Clinical Research Center for Blood Diseases, Haihe Laboratory of Cell Ecosystem, Institute of Hematology & Blood Diseases Hospital, Chinese Academy of Medical Sciences & Peking Union Medical College, Tianjin 300020, China
| | - F K Zhang
- State Key Laboratory of Experimental Hematology, National Clinical Research Center for Blood Diseases, Haihe Laboratory of Cell Ecosystem, Institute of Hematology & Blood Diseases Hospital, Chinese Academy of Medical Sciences & Peking Union Medical College, Tianjin 300020, China
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19
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Li Y, Xiong YZ, Fan HH, Jing LP, Li JP, Lin QS, Xu CH, Li Y, Ye L, Jiao M, Yang Y, Li Y, Yang WR, Peng GX, Zhou K, Zhao X, Zhang L, Zhang FK. [Metagenomic next-generation sequencing of plasma for the identification of bloodstream infectious pathogens in severe aplastic anemia]. Zhonghua Xue Ye Xue Za Zhi 2023; 44:236-241. [PMID: 37356986 PMCID: PMC10119722 DOI: 10.3760/cma.j.issn.0253-2727.2023.03.010] [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] [Received: 06/04/2022] [Indexed: 06/27/2023]
Abstract
Objective: To analyze the diagnostic value of cell-free plasma metagenomic next-generation sequencing (mNGS) pathogen identification for severe aplastic anemia (SAA) bloodstream infection. Methods: From February 2021 to February 2022, mNGS and conventional detection methods (blood culture, etc.) were used to detect 33 samples from 29 consecutive AA patients admitted to the Anemia Diagnosis and Treatment Center of the Hematology Hospital of the Chinese Academy of Medical Sciences to assess the diagnostic consistency of mNGS and conventional detection, as well as the impact on clinical treatment benefits and clinical accuracy. Results: ①Among the 33 samples evaluated by mNGS and conventional detection methods, 25 cases (75.76%) carried potential pathogenic microorganisms. A total of 72 pathogenic microorganisms were identified from all cases, of which 65 (90.28%) were detected only by mNGS. ②All 33 cases were evaluated for diagnostic consistency, of which 2 cases (6.06%) were Composite, 18 cases (54.55%) were mNGS only, 2 cases (6.06%) were Conventional method only, 1 case (3.03%) was both common compliances (mNGS/Conventional testing) , and 10 cases (30.3%) were completely non-conforming (None) . ③All 33 cases were evaluated for clinical treatment benefit. Among them, 8 cases (24.24%) received Initiation of targeted treatment, 1 case (3.03%) received Treatment de-escalation, 13 cases (39.39%) received Confirmation, and the remaining 11 cases (33.33%) received No clinical benefit. ④ The sensitivity of 80.77%, specificity of 70.00%, positive predictive value of 63.64%, negative predictive value of 84.85%, positive likelihood ratio of 2.692, and negative likelihood ratio of 0.275 distinguished mNGS from conventional detection methods (21/12 vs 5/28, P<0.001) . Conclusion: mNGS can not only contribute to accurately diagnosing bloodstream infection in patients with aplastic anemia, but can also help to guide accurate anti-infection treatment, and the clinical accuracy is high.
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Affiliation(s)
- Y Li
- State Key Laboratory of Experimental Hematology, National Clinical Research Center for Blood Diseases, Haihe Laboratory of Cell Ecosystem, Institute of Hematology & Blood Diseases Hospital, Chinese Academy of Medical Sciences & Peking Union Medical College, Tianjin 300020, China
| | - Y Z Xiong
- State Key Laboratory of Experimental Hematology, National Clinical Research Center for Blood Diseases, Haihe Laboratory of Cell Ecosystem, Institute of Hematology & Blood Diseases Hospital, Chinese Academy of Medical Sciences & Peking Union Medical College, Tianjin 300020, China
| | - H H Fan
- State Key Laboratory of Experimental Hematology, National Clinical Research Center for Blood Diseases, Haihe Laboratory of Cell Ecosystem, Institute of Hematology & Blood Diseases Hospital, Chinese Academy of Medical Sciences & Peking Union Medical College, Tianjin 300020, China
| | - L P Jing
- State Key Laboratory of Experimental Hematology, National Clinical Research Center for Blood Diseases, Haihe Laboratory of Cell Ecosystem, Institute of Hematology & Blood Diseases Hospital, Chinese Academy of Medical Sciences & Peking Union Medical College, Tianjin 300020, China
| | - J P Li
- State Key Laboratory of Experimental Hematology, National Clinical Research Center for Blood Diseases, Haihe Laboratory of Cell Ecosystem, Institute of Hematology & Blood Diseases Hospital, Chinese Academy of Medical Sciences & Peking Union Medical College, Tianjin 300020, China
| | - Q S Lin
- State Key Laboratory of Experimental Hematology, National Clinical Research Center for Blood Diseases, Haihe Laboratory of Cell Ecosystem, Institute of Hematology & Blood Diseases Hospital, Chinese Academy of Medical Sciences & Peking Union Medical College, Tianjin 300020, China
| | - C H Xu
- State Key Laboratory of Experimental Hematology, National Clinical Research Center for Blood Diseases, Haihe Laboratory of Cell Ecosystem, Institute of Hematology & Blood Diseases Hospital, Chinese Academy of Medical Sciences & Peking Union Medical College, Tianjin 300020, China Microbiology Laboratory Tianjin Union Precision Medical Diagnostic Co., Ltd, Tianjin 301617, China
| | - Y Li
- State Key Laboratory of Experimental Hematology, National Clinical Research Center for Blood Diseases, Haihe Laboratory of Cell Ecosystem, Institute of Hematology & Blood Diseases Hospital, Chinese Academy of Medical Sciences & Peking Union Medical College, Tianjin 300020, China
| | - L Ye
- State Key Laboratory of Experimental Hematology, National Clinical Research Center for Blood Diseases, Haihe Laboratory of Cell Ecosystem, Institute of Hematology & Blood Diseases Hospital, Chinese Academy of Medical Sciences & Peking Union Medical College, Tianjin 300020, China
| | - M Jiao
- State Key Laboratory of Experimental Hematology, National Clinical Research Center for Blood Diseases, Haihe Laboratory of Cell Ecosystem, Institute of Hematology & Blood Diseases Hospital, Chinese Academy of Medical Sciences & Peking Union Medical College, Tianjin 300020, China
| | - Y Yang
- State Key Laboratory of Experimental Hematology, National Clinical Research Center for Blood Diseases, Haihe Laboratory of Cell Ecosystem, Institute of Hematology & Blood Diseases Hospital, Chinese Academy of Medical Sciences & Peking Union Medical College, Tianjin 300020, China
| | - Y Li
- State Key Laboratory of Experimental Hematology, National Clinical Research Center for Blood Diseases, Haihe Laboratory of Cell Ecosystem, Institute of Hematology & Blood Diseases Hospital, Chinese Academy of Medical Sciences & Peking Union Medical College, Tianjin 300020, China
| | - W R Yang
- State Key Laboratory of Experimental Hematology, National Clinical Research Center for Blood Diseases, Haihe Laboratory of Cell Ecosystem, Institute of Hematology & Blood Diseases Hospital, Chinese Academy of Medical Sciences & Peking Union Medical College, Tianjin 300020, China
| | - G X Peng
- State Key Laboratory of Experimental Hematology, National Clinical Research Center for Blood Diseases, Haihe Laboratory of Cell Ecosystem, Institute of Hematology & Blood Diseases Hospital, Chinese Academy of Medical Sciences & Peking Union Medical College, Tianjin 300020, China
| | - K Zhou
- State Key Laboratory of Experimental Hematology, National Clinical Research Center for Blood Diseases, Haihe Laboratory of Cell Ecosystem, Institute of Hematology & Blood Diseases Hospital, Chinese Academy of Medical Sciences & Peking Union Medical College, Tianjin 300020, China
| | - X Zhao
- State Key Laboratory of Experimental Hematology, National Clinical Research Center for Blood Diseases, Haihe Laboratory of Cell Ecosystem, Institute of Hematology & Blood Diseases Hospital, Chinese Academy of Medical Sciences & Peking Union Medical College, Tianjin 300020, China
| | - L Zhang
- State Key Laboratory of Experimental Hematology, National Clinical Research Center for Blood Diseases, Haihe Laboratory of Cell Ecosystem, Institute of Hematology & Blood Diseases Hospital, Chinese Academy of Medical Sciences & Peking Union Medical College, Tianjin 300020, China
| | - F K Zhang
- State Key Laboratory of Experimental Hematology, National Clinical Research Center for Blood Diseases, Haihe Laboratory of Cell Ecosystem, Institute of Hematology & Blood Diseases Hospital, Chinese Academy of Medical Sciences & Peking Union Medical College, Tianjin 300020, China
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20
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Fan HH, Yang WR, Zhao X, Xiong YZ, Zhou K, Yang XW, Li JP, Ye L, Yang Y, Li Y, Zhang L, Jing LP, Zhang FK. [Characteristics of mucormycosis in adult acute leukemia: a case report and literature review]. Zhonghua Xue Ye Xue Za Zhi 2023; 44:154-157. [PMID: 36948872 PMCID: PMC10033278 DOI: 10.3760/cma.j.issn.0253-2727.2023.02.013] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Subscribe] [Scholar Register] [Indexed: 03/24/2023]
Affiliation(s)
- H H Fan
- State Key Laboratory of Experimental Hematology, National Clinical Research Center for Blood Diseases, Haihe Laboratory of Cell Ecosystem, Institute of Hematology & Blood Diseases Hospital, Chinese Academy of Medical Sciences & Peking Union Medical College, Tianjin 300020, China
| | - W R Yang
- State Key Laboratory of Experimental Hematology, National Clinical Research Center for Blood Diseases, Haihe Laboratory of Cell Ecosystem, Institute of Hematology & Blood Diseases Hospital, Chinese Academy of Medical Sciences & Peking Union Medical College, Tianjin 300020, China
| | - X Zhao
- State Key Laboratory of Experimental Hematology, National Clinical Research Center for Blood Diseases, Haihe Laboratory of Cell Ecosystem, Institute of Hematology & Blood Diseases Hospital, Chinese Academy of Medical Sciences & Peking Union Medical College, Tianjin 300020, China
| | - Y Z Xiong
- State Key Laboratory of Experimental Hematology, National Clinical Research Center for Blood Diseases, Haihe Laboratory of Cell Ecosystem, Institute of Hematology & Blood Diseases Hospital, Chinese Academy of Medical Sciences & Peking Union Medical College, Tianjin 300020, China
| | - K Zhou
- State Key Laboratory of Experimental Hematology, National Clinical Research Center for Blood Diseases, Haihe Laboratory of Cell Ecosystem, Institute of Hematology & Blood Diseases Hospital, Chinese Academy of Medical Sciences & Peking Union Medical College, Tianjin 300020, China
| | - X W Yang
- State Key Laboratory of Experimental Hematology, National Clinical Research Center for Blood Diseases, Haihe Laboratory of Cell Ecosystem, Institute of Hematology & Blood Diseases Hospital, Chinese Academy of Medical Sciences & Peking Union Medical College, Tianjin 300020, China
| | - J P Li
- State Key Laboratory of Experimental Hematology, National Clinical Research Center for Blood Diseases, Haihe Laboratory of Cell Ecosystem, Institute of Hematology & Blood Diseases Hospital, Chinese Academy of Medical Sciences & Peking Union Medical College, Tianjin 300020, China
| | - L Ye
- State Key Laboratory of Experimental Hematology, National Clinical Research Center for Blood Diseases, Haihe Laboratory of Cell Ecosystem, Institute of Hematology & Blood Diseases Hospital, Chinese Academy of Medical Sciences & Peking Union Medical College, Tianjin 300020, China
| | - Y Yang
- State Key Laboratory of Experimental Hematology, National Clinical Research Center for Blood Diseases, Haihe Laboratory of Cell Ecosystem, Institute of Hematology & Blood Diseases Hospital, Chinese Academy of Medical Sciences & Peking Union Medical College, Tianjin 300020, China
| | - Y Li
- State Key Laboratory of Experimental Hematology, National Clinical Research Center for Blood Diseases, Haihe Laboratory of Cell Ecosystem, Institute of Hematology & Blood Diseases Hospital, Chinese Academy of Medical Sciences & Peking Union Medical College, Tianjin 300020, China
| | - L Zhang
- State Key Laboratory of Experimental Hematology, National Clinical Research Center for Blood Diseases, Haihe Laboratory of Cell Ecosystem, Institute of Hematology & Blood Diseases Hospital, Chinese Academy of Medical Sciences & Peking Union Medical College, Tianjin 300020, China
| | - L P Jing
- State Key Laboratory of Experimental Hematology, National Clinical Research Center for Blood Diseases, Haihe Laboratory of Cell Ecosystem, Institute of Hematology & Blood Diseases Hospital, Chinese Academy of Medical Sciences & Peking Union Medical College, Tianjin 300020, China
| | - F K Zhang
- State Key Laboratory of Experimental Hematology, National Clinical Research Center for Blood Diseases, Haihe Laboratory of Cell Ecosystem, Institute of Hematology & Blood Diseases Hospital, Chinese Academy of Medical Sciences & Peking Union Medical College, Tianjin 300020, China
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21
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Li XX, Li JP, Zhao X, Li Y, Xiong YZ, Peng GX, Ye L, Yang WR, Zhou K, Fan HH, Yang Y, Li Y, Song L, Jing LP, Zhang L, Zhang FK. [T-large granular lymphocytic leukemia presenting as aplastic anemia: a report of five cases and literature review]. Zhonghua Xue Ye Xue Za Zhi 2023; 44:162-165. [PMID: 36948874 PMCID: PMC10033266 DOI: 10.3760/cma.j.issn.0253-2727.2023.02.015] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [MESH Headings] [Subscribe] [Scholar Register] [Received: 01/07/2022] [Indexed: 03/24/2023]
Affiliation(s)
- X X Li
- State Key Laboratory of Experimental Hematology, National Clinical Research Center for Blood Diseases, Haihe Laboratory of Cell Ecosystem, Institute of Hematology & Blood Diseases Hospital, Chinese Academy of Medical Sciences & Peking Union Medical College, Tianjin 300020, China
| | - J P Li
- State Key Laboratory of Experimental Hematology, National Clinical Research Center for Blood Diseases, Haihe Laboratory of Cell Ecosystem, Institute of Hematology & Blood Diseases Hospital, Chinese Academy of Medical Sciences & Peking Union Medical College, Tianjin 300020, China
| | - X Zhao
- State Key Laboratory of Experimental Hematology, National Clinical Research Center for Blood Diseases, Haihe Laboratory of Cell Ecosystem, Institute of Hematology & Blood Diseases Hospital, Chinese Academy of Medical Sciences & Peking Union Medical College, Tianjin 300020, China
| | - Y Li
- State Key Laboratory of Experimental Hematology, National Clinical Research Center for Blood Diseases, Haihe Laboratory of Cell Ecosystem, Institute of Hematology & Blood Diseases Hospital, Chinese Academy of Medical Sciences & Peking Union Medical College, Tianjin 300020, China
| | - Y Z Xiong
- State Key Laboratory of Experimental Hematology, National Clinical Research Center for Blood Diseases, Haihe Laboratory of Cell Ecosystem, Institute of Hematology & Blood Diseases Hospital, Chinese Academy of Medical Sciences & Peking Union Medical College, Tianjin 300020, China
| | - G X Peng
- State Key Laboratory of Experimental Hematology, National Clinical Research Center for Blood Diseases, Haihe Laboratory of Cell Ecosystem, Institute of Hematology & Blood Diseases Hospital, Chinese Academy of Medical Sciences & Peking Union Medical College, Tianjin 300020, China
| | - L Ye
- State Key Laboratory of Experimental Hematology, National Clinical Research Center for Blood Diseases, Haihe Laboratory of Cell Ecosystem, Institute of Hematology & Blood Diseases Hospital, Chinese Academy of Medical Sciences & Peking Union Medical College, Tianjin 300020, China
| | - W R Yang
- State Key Laboratory of Experimental Hematology, National Clinical Research Center for Blood Diseases, Haihe Laboratory of Cell Ecosystem, Institute of Hematology & Blood Diseases Hospital, Chinese Academy of Medical Sciences & Peking Union Medical College, Tianjin 300020, China
| | - K Zhou
- State Key Laboratory of Experimental Hematology, National Clinical Research Center for Blood Diseases, Haihe Laboratory of Cell Ecosystem, Institute of Hematology & Blood Diseases Hospital, Chinese Academy of Medical Sciences & Peking Union Medical College, Tianjin 300020, China
| | - H H Fan
- State Key Laboratory of Experimental Hematology, National Clinical Research Center for Blood Diseases, Haihe Laboratory of Cell Ecosystem, Institute of Hematology & Blood Diseases Hospital, Chinese Academy of Medical Sciences & Peking Union Medical College, Tianjin 300020, China
| | - Y Yang
- State Key Laboratory of Experimental Hematology, National Clinical Research Center for Blood Diseases, Haihe Laboratory of Cell Ecosystem, Institute of Hematology & Blood Diseases Hospital, Chinese Academy of Medical Sciences & Peking Union Medical College, Tianjin 300020, China
| | - Y Li
- State Key Laboratory of Experimental Hematology, National Clinical Research Center for Blood Diseases, Haihe Laboratory of Cell Ecosystem, Institute of Hematology & Blood Diseases Hospital, Chinese Academy of Medical Sciences & Peking Union Medical College, Tianjin 300020, China
| | - L Song
- State Key Laboratory of Experimental Hematology, National Clinical Research Center for Blood Diseases, Haihe Laboratory of Cell Ecosystem, Institute of Hematology & Blood Diseases Hospital, Chinese Academy of Medical Sciences & Peking Union Medical College, Tianjin 300020, China
| | - L P Jing
- State Key Laboratory of Experimental Hematology, National Clinical Research Center for Blood Diseases, Haihe Laboratory of Cell Ecosystem, Institute of Hematology & Blood Diseases Hospital, Chinese Academy of Medical Sciences & Peking Union Medical College, Tianjin 300020, China
| | - L Zhang
- State Key Laboratory of Experimental Hematology, National Clinical Research Center for Blood Diseases, Haihe Laboratory of Cell Ecosystem, Institute of Hematology & Blood Diseases Hospital, Chinese Academy of Medical Sciences & Peking Union Medical College, Tianjin 300020, China
| | - F K Zhang
- State Key Laboratory of Experimental Hematology, National Clinical Research Center for Blood Diseases, Haihe Laboratory of Cell Ecosystem, Institute of Hematology & Blood Diseases Hospital, Chinese Academy of Medical Sciences & Peking Union Medical College, Tianjin 300020, China
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22
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Tian BS, Ling Y, Lyu JW, Ye L, Gu B. [A retrospective analysis of clinical characteristics and prognostic factors for 152 cases of Staphylococcus aureus bloodstream infection]. Zhonghua Yu Fang Yi Xue Za Zhi 2023; 57:241-246. [PMID: 36797583 DOI: 10.3760/cma.j.cn112150-20220221-00161] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Subscribe] [Scholar Register] [Indexed: 02/18/2023]
Abstract
To understand the clinical characteristics of Staphylococcus aureus bloodstream infection and the main risk factors affecting clinical prognosis, providing a reference for clinical prevention and control of Staphylococcus aureus bloodstream infection. In this study, the clinical data of 152 patients with Staphylococcus aureus bloodstream infection admitted to Guangdong Provincial People's Hospital from January 2019 to December 2021 were retrospectively analyzed by reviewing the electronic medical record system, including underlying diseases, clinical characteristics, risk factors, and bacterial resistance. Statistical methods such as Chi-Squared Test and t Test were used to analyze the related risk factors that may affect the clinical characteristics and prognosis of patients with Staphylococcus aureus and methicillin-resistant Staphylococcus aureus (MRSA) bloodstream infection, then the variables with P<0.05 in univariate analysis were included in the multivariate logistic regression model to analyze the independent risk factors of poor prognosis. The results showed among 152 patients with Staphylococcus aureus bloodstream infection, 50 patients (32.89%) were infected with MRSA. In comparison, 102 patients (67.11%) were infected with methicillin-sensitive Staphylococcus aureus (MSSA). Except for rifampicin, the resistance rate of MRSA to commonly used antibiotics was all higher than that of MSSA, and the difference was statistically significant (Chi-square values were 8.272, 11.972, 4.998, 4.776, respectively;all P-values are less than 0.05). Strains resistant to vancomycin, linezolid, and quinupristin/dalfopristin were not found. In the MRSA group, indwelling catheter and drainage tube, carbapenems, and β-lactamase inhibitor treatment were significantly higher than the MSSA group. The difference was statistically significant (P<0.05). The incidence of poor prognosis of bloodstream infection in the MRSA group was higher than that in the MSSA group (34.00% vs 13.73%), and the difference was statistically significant (χ2=8.495, P<0.05). No independent risk factors associated with poor prognosis were found in the included patients with MRSA bloodstream infection.Multivariate Logistic regression model analysis showed that solid malignant tumors (OR=13.576, 95%CI: 3.352-54.977, P<0.05), mechanical ventilation (OR=7.468, 95%CI: 1.398-39.884, P<0.05) were the most important independent risk factors for poor prognosis in patients with Staphylococcus aureus bloodstream infection. In summary, the poor prognosis rate of MRSA bloodstream infection is higher than that of MSSA. The clinical evaluation of related risk factors should be strengthened, targeted prevention and control interventions should be taken to improve the prognosis of patients with Staphylococcus aureus bloodstream infection, and the use of antibiotics should be rational and standardized, to control bacterial infection and drug resistance effectively.
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Affiliation(s)
- B S Tian
- Medical Technology School of Xuzhou Medical University, Xuzhou Key Laboratory of Laboratory Diagnostics, Xuzhou 221004, China Division of Laboratory Medicine, Guangdong Provincial People's Hospital, Guangdong Academy of Medical Sciences,Guangzhou 510080, China
| | - Y Ling
- Division of Laboratory Medicine, Guangdong Provincial People's Hospital, Guangdong Academy of Medical Sciences,Guangzhou 510080, China
| | - J W Lyu
- Medical Technology School of Xuzhou Medical University, Xuzhou Key Laboratory of Laboratory Diagnostics, Xuzhou 221004, China Division of Laboratory Medicine, Guangdong Provincial People's Hospital, Guangdong Academy of Medical Sciences,Guangzhou 510080, China
| | - L Ye
- Division of Laboratory Medicine, Guangdong Provincial People's Hospital, Guangdong Academy of Medical Sciences,Guangzhou 510080, China
| | - B Gu
- Medical Technology School of Xuzhou Medical University, Xuzhou Key Laboratory of Laboratory Diagnostics, Xuzhou 221004, China Division of Laboratory Medicine, Guangdong Provincial People's Hospital, Guangdong Academy of Medical Sciences,Guangzhou 510080, China
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23
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Liu J, Peng S, Ye L, Sun Y, Zhao Q, Wei H, Luo Q, He M, Wang G. Neuroinflammation aggravated by traumatic brain injury at high altitude is reversed by L-serine via NFAT1-mediated microglial polarization. Front Cell Neurosci 2023; 17:1152392. [PMID: 37124395 PMCID: PMC10140564 DOI: 10.3389/fncel.2023.1152392] [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] [Journal Information] [Subscribe] [Scholar Register] [Received: 01/27/2023] [Accepted: 03/24/2023] [Indexed: 05/02/2023] Open
Abstract
Traumatic brain injury (TBI) is one of the main causes of disability and death, especially in plateau areas, where the degree of injury is often more serious than in plain areas. It is likely that high altitude (HA) aggravates neuroinflammation; however, prior studies are limited. This study was designed to evaluate the effects of HA on the degree of TBI and the neuroprotective effects and underlying mechanisms of L-serine against TBI at HA (HA-TBI). In in vivo experiments, wild-type mice and mice with Nfat1 (Nfat1-/- ) deficiency in the C57BL/6 background were kept in a hypobaric chamber for 3 days under simulated conditions of 4,000 m, 6,000 m and 8,000 m above sea level. After leaving the chamber, the standardized TBI model was established immediately. Mice were then intraperitoneally injected with L-serine (342 mg.kg-1) 2 h after TBI and then daily for 5 days. Behavioral tests and histological analysis were assessed at different time points post TBI induction. In vitro, we applied primary cultured microglia for hypoxia treatment (1% O2 for 24 h). The major findings include the following: (1) with increasing altitude, the neurological function of TBI mice decreased, and the damage to cerebral gray matter and white matter became more significant, (2) L-serine significantly improved the sensorimotor function of mice, reversed the increase in brain lesion volume, and promoted the renovation of brain tissue after HA-TBI, (3) L-serine significantly decreased the activation of microglia and promoted microglia polarization toward the protective M2 phenotype both in vivo and in vitro, (4) L-serine significantly suppressed the expression of NFAT1 in mice after HA-TBI and inhibited NFAT1 expression in primary microglia after hypoxia, and (5) knockout of Nfat1 inhibited the inflammatory reaction caused by excessive activation of microglia, and L-serine lost its neuroprotective effect in Nfat1 knockout mice. The present study suggests that HA aggravates brain damage after TBI and that the damage also increases with increasing altitude. As an endogenous amino acid, L-serine may be a neuroprotective agent against HA-TBI, and suppression of NFAT1 in microglia is a potential therapy for neuroinflammation in the future.
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Affiliation(s)
- Jinchun Liu
- Department of Medicine, Henan Vocational College of Nursing, Anyang, Henan, China
- Department of Physiology and Hypoxic Biomedicine, Institute of Special Environmental Medicine, Nantong University, Nantong, Jiangsu, China
| | - Shunhua Peng
- Department of Basic Medicine, Yiyang Medical College, Yiyang, Hunan, China
| | - Lisha Ye
- Department of Physiology and Hypoxic Biomedicine, Institute of Special Environmental Medicine, Nantong University, Nantong, Jiangsu, China
| | - Yechao Sun
- Department of Physiology and Hypoxic Biomedicine, Institute of Special Environmental Medicine, Nantong University, Nantong, Jiangsu, China
| | - Qiong Zhao
- Department of Medicine, Henan Vocational College of Nursing, Anyang, Henan, China
| | - Hua Wei
- Department of Medicine, Henan Vocational College of Nursing, Anyang, Henan, China
| | - Qianqian Luo
- Department of Physiology and Hypoxic Biomedicine, Institute of Special Environmental Medicine, Nantong University, Nantong, Jiangsu, China
| | - Min He
- Department of Medicine, Henan Vocational College of Nursing, Anyang, Henan, China
- Department of Scientific Research, Henan Vocational College of Nursing, Anyang, Henan, China
- Min He,
| | - Guohua Wang
- Department of Physiology and Hypoxic Biomedicine, Institute of Special Environmental Medicine, Nantong University, Nantong, Jiangsu, China
- *Correspondence: Guohua Wang,
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Song B, Wu S, Ye L, Jing Z, Cao J. Circular RNA 0000157 depletion protects human bronchial epithelioid cells from cigarette smoke extract-induced human bronchial epithelioid cell injury through the microRNA-149-5p/bromodomain containing 4 pathway. Hum Exp Toxicol 2023; 42:9603271231167581. [PMID: 37533154 DOI: 10.1177/09603271231167581] [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: 08/04/2023]
Abstract
BACKGROUND Circular RNA (circRNA) has been reported to regulate respiratory diseases. In the study, we aimed to elucidate the role of circ_0000157 in smoke-related chronic obstructive pulmonary disease (COPD) and the inner mechanism. METHODS COPD-like cell injury was induced by treating human bronchial epithelioid cells (16HBE) with cigarette smoke extract (CSE). The expression of circ_0000157, miR-149-5p, bromodomain containing 4 (BRD4), BCL2-associated x protein (Bax) and B-cell lymphoma-2 (Bcl-2) was analyzed by quantitative real-time polymerase chain reaction (qRT-PCR) or Western blotting. Enzyme-linked immunosorbent assay was performed to detect interleukin-6 (IL-6) and tumor necrosis factor-α (TNF-α) levels. Malondialdehyde (MDA) production was detected by a lipid peroxidation MDA assay kit. Superoxide dismutase (SOD) activity was analyzed by a SOD activity assay kit. RESULTS Circ_0000157 and BRD4 expression were upregulated, while miR-149-5p expression was downregulated in the blood of smokers with COPD and CSE-induced 16HBE cells compared with control groups. CSE treatment inhibited 16HBE cell proliferation and induced cell apoptosis, inflammation, and oxidative stress; however, these effects were remitted when circ_0000157 expression was decreased. In addition, circ_0000157 acted as a miR-149-5p sponge and regulated CSE-caused 16HBE cell damage by targeting miR-149-5p. The overexpression of BRD4, a target gene of miR-149-5p, attenuated the inhibitory effects of miR-149-5p introduction on CSE-induced cell damage. Further, circ_0000157 modulated BRD4 expression by associating with miR-149-5p in CSE-treated 16HBE cells. CONCLUSION Circ_0000157 knockdown ameliorated CSE-caused 16HBE cell damage by targeting the miR-149-5p/BRD4 pathway, providing a potential therapeutic strategy for clinic intervention in COPD.
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Affiliation(s)
- B Song
- Department of Respiratory and Critical Care Medicine, The Second Hospital of Hebei Medical University, Shijiazhuang, China
| | - S Wu
- Department of Respiratory and Critical Care Medicine, The Second Hospital of Hebei Medical University, Shijiazhuang, China
| | - L Ye
- Department of Respiratory and Critical Care Medicine, The Second Hospital of Hebei Medical University, Shijiazhuang, China
| | - Z Jing
- Department of Pharmacy, The Fourth Hospital of Shijiazhuang, Shijiazhuang, China
| | - J Cao
- Department of Respiratory and Critical Care Medicine, The Second Hospital of Hebei Medical University, Shijiazhuang, China
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25
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Chen L, Ye L, Hu B. Gastrointestinal: Endoscopic submucosal tunnel dissection for an esophageal bronchogenic cyst. J Gastroenterol Hepatol 2023; 38:9. [PMID: 35666202 DOI: 10.1111/jgh.15906] [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] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 03/23/2022] [Revised: 05/25/2022] [Accepted: 05/25/2022] [Indexed: 02/05/2023]
Affiliation(s)
- L Chen
- Department of Gastroenterology, West China Hospital, Sichuan University, Chengdu, China
| | - L Ye
- Department of Gastroenterology, West China Hospital, Sichuan University, Chengdu, China
| | - B Hu
- Department of Gastroenterology, West China Hospital, Sichuan University, Chengdu, China
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26
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Söderlund Z, Ibáñez-Fonseca A, Hajizadeh S, Rodríguez-Cabello JC, Liu J, Ye L, Tykesson E, Elowsson L, Westergren-Thorsson G. Controlled release of growth factors using synthetic glycosaminoglycans in a modular macroporous scaffold for tissue regeneration. Commun Biol 2022; 5:1349. [PMID: 36482075 PMCID: PMC9732287 DOI: 10.1038/s42003-022-04305-9] [Citation(s) in RCA: 4] [Impact Index Per Article: 2.0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 04/14/2022] [Accepted: 11/28/2022] [Indexed: 12/13/2022] Open
Abstract
Healthy regeneration of tissue relies on a well-orchestrated release of growth factors. Herein, we show the use of synthetic glycosaminoglycans for controlled binding and release of growth factors to induce a desired cellular response. First, we screened glycosaminoglycans with growth factors of interest to determine kon (association rate constant), koff (dissociation rate constant), and Kd (equilibrium rate constant). As proof-of-concept, we functionalized an elastin-like recombinamer (ELR) hydrogel with a synthetic glycosaminoglycan and immobilized fibroblast growth factor 2 (FGF2), demonstrating that human umbilical vein endothelial cells cultured on top of ELR hydrogel differentiated into tube-like structures. Taking this concept further, we developed a tunable macroporous ELR cryogel material, containing a synthetic glycosaminoglycan and FGF2 that showed increased blood vessel formation and reduced immune response compared to control when implanted in a subcutaneous mouse model. These results demonstrated the possibility for specific release of desired growth factors in/from a modular 3D scaffold in vitro and in vivo.
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Affiliation(s)
- Z Söderlund
- Lung Biology, Department of Experimental Medical Science, Lund University, Lund, Sweden.
| | - A Ibáñez-Fonseca
- Lung Biology, Department of Experimental Medical Science, Lund University, Lund, Sweden
| | - S Hajizadeh
- Division Pure and Applied Biochemistry, Lund University, Lund, Sweden
| | | | - J Liu
- Division of Chemical Biology and Medicinal Chemistry, Eshelman School of Phamarcy, University of North Carolina, Chapel Hill, NC, USA
| | - L Ye
- Division Pure and Applied Biochemistry, Lund University, Lund, Sweden
| | - E Tykesson
- Lung Biology, Department of Experimental Medical Science, Lund University, Lund, Sweden
| | - L Elowsson
- Lung Biology, Department of Experimental Medical Science, Lund University, Lund, Sweden
| | - G Westergren-Thorsson
- Lung Biology, Department of Experimental Medical Science, Lund University, Lund, Sweden
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Li JP, Yang WR, Li Y, Xiong YZ, Ye L, Fan HH, Zhou K, Yang Y, Peng GX, Zhao X, Jing LP, Zhang L, Zhang FK. [Avatrombopag combined with standard immunosuppressive therapy in the treatment of severe aplastic anemia with hepatic impairment in six patients]. Zhonghua Xue Ye Xue Za Zhi 2022; 43:952-955. [PMID: 36709188 PMCID: PMC9808865 DOI: 10.3760/cma.j.issn.0253-2727.2022.11.012] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [MESH Headings] [Subscribe] [Scholar Register] [Received: 05/22/2022] [Indexed: 01/30/2023]
Affiliation(s)
- J P Li
- State Key Laboratory of Experimental Hematology, National Clinical Research Center for Blood Diseases, Haihe Laboratory of Cell Ecosystem, Institute of Hematology & Blood Diseases Hospital, Chinese Academy of Medical Sciences & Peking Union Medical College, Tianjin 300020, China
| | - W R Yang
- State Key Laboratory of Experimental Hematology, National Clinical Research Center for Blood Diseases, Haihe Laboratory of Cell Ecosystem, Institute of Hematology & Blood Diseases Hospital, Chinese Academy of Medical Sciences & Peking Union Medical College, Tianjin 300020, China
| | - Y Li
- State Key Laboratory of Experimental Hematology, National Clinical Research Center for Blood Diseases, Haihe Laboratory of Cell Ecosystem, Institute of Hematology & Blood Diseases Hospital, Chinese Academy of Medical Sciences & Peking Union Medical College, Tianjin 300020, China
| | - Y Z Xiong
- State Key Laboratory of Experimental Hematology, National Clinical Research Center for Blood Diseases, Haihe Laboratory of Cell Ecosystem, Institute of Hematology & Blood Diseases Hospital, Chinese Academy of Medical Sciences & Peking Union Medical College, Tianjin 300020, China
| | - L Ye
- State Key Laboratory of Experimental Hematology, National Clinical Research Center for Blood Diseases, Haihe Laboratory of Cell Ecosystem, Institute of Hematology & Blood Diseases Hospital, Chinese Academy of Medical Sciences & Peking Union Medical College, Tianjin 300020, China
| | - H H Fan
- State Key Laboratory of Experimental Hematology, National Clinical Research Center for Blood Diseases, Haihe Laboratory of Cell Ecosystem, Institute of Hematology & Blood Diseases Hospital, Chinese Academy of Medical Sciences & Peking Union Medical College, Tianjin 300020, China
| | - K Zhou
- State Key Laboratory of Experimental Hematology, National Clinical Research Center for Blood Diseases, Haihe Laboratory of Cell Ecosystem, Institute of Hematology & Blood Diseases Hospital, Chinese Academy of Medical Sciences & Peking Union Medical College, Tianjin 300020, China
| | - Y Yang
- State Key Laboratory of Experimental Hematology, National Clinical Research Center for Blood Diseases, Haihe Laboratory of Cell Ecosystem, Institute of Hematology & Blood Diseases Hospital, Chinese Academy of Medical Sciences & Peking Union Medical College, Tianjin 300020, China
| | - G X Peng
- State Key Laboratory of Experimental Hematology, National Clinical Research Center for Blood Diseases, Haihe Laboratory of Cell Ecosystem, Institute of Hematology & Blood Diseases Hospital, Chinese Academy of Medical Sciences & Peking Union Medical College, Tianjin 300020, China
| | - X Zhao
- State Key Laboratory of Experimental Hematology, National Clinical Research Center for Blood Diseases, Haihe Laboratory of Cell Ecosystem, Institute of Hematology & Blood Diseases Hospital, Chinese Academy of Medical Sciences & Peking Union Medical College, Tianjin 300020, China
| | - L P Jing
- State Key Laboratory of Experimental Hematology, National Clinical Research Center for Blood Diseases, Haihe Laboratory of Cell Ecosystem, Institute of Hematology & Blood Diseases Hospital, Chinese Academy of Medical Sciences & Peking Union Medical College, Tianjin 300020, China
| | - L Zhang
- State Key Laboratory of Experimental Hematology, National Clinical Research Center for Blood Diseases, Haihe Laboratory of Cell Ecosystem, Institute of Hematology & Blood Diseases Hospital, Chinese Academy of Medical Sciences & Peking Union Medical College, Tianjin 300020, China
| | - F K Zhang
- State Key Laboratory of Experimental Hematology, National Clinical Research Center for Blood Diseases, Haihe Laboratory of Cell Ecosystem, Institute of Hematology & Blood Diseases Hospital, Chinese Academy of Medical Sciences & Peking Union Medical College, Tianjin 300020, China
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28
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Ye L, Zhang Y, Wu S, Wang Z, Liu F, Wang C, Hu M. Immunoprotection Efficacy of Con A-Purified Proteins against Haemonchus contortus in Goats. Vaccines (Basel) 2022; 10:vaccines10111891. [PMID: 36366399 PMCID: PMC9696691 DOI: 10.3390/vaccines10111891] [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: 09/27/2022] [Revised: 11/04/2022] [Accepted: 11/07/2022] [Indexed: 11/11/2022] Open
Abstract
Parasitic nematodes are important pathogens that infect animals, causing significant economic losses globally. Current repeated treatments have led to widespread anthelmintic resistance in nematode populations, so vaccine development offers an alternative control approach. However, only one effective vaccine (named Barbervax) has been developed to protect animals against one of the most pathogenic nematodes of ruminants—Haemonchus contortus (the barber’s pole worm). This vaccine contains a dominant component, Concanavalin A (Con A) purified H11 antigen, which has been shown to induce high levels (>85%) of immune protection in sheep breeds, but in goat breeds, the immunoprotection test of this native protein is still lacking. Here, we evaluated the protective efficacy of low-dose Con A-purified proteins for controlling the H. contortus infection in goats. Four-month-old Boer goats were equally divided into two vaccinated groups of 5 μg and 10 μg native proteins, and one adjuvant control. Each goat was immunized subcutaneously thrice and then challenged with 7000 infective third-stage larvae (L3s). The fecal egg count (FEC), degree of anemia, antibody levels of serum and abomasum mucosa, as well as worm burdens, were detected in experimental goats. Our results showed that both 5 μg and 10 μg vaccinated groups induced the effective protection in goats, reduced mean FEC by 71.8% and 68.6%, and mean worm burdens by 69.8% and 61.6%, respectively, compared to the adjuvant control. In addition, we detected that the serum antibody responses to the Con A-purified proteins were dominated by the IgG subtype, but the mucosal antibody responses were not detected. These data demonstrate Con A-purified proteins induced effective immunoprotection in goats, and underline their significance for controlling this widespread parasite.
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Affiliation(s)
| | | | | | | | | | | | - Min Hu
- Correspondence: (C.W.); (M.H.)
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29
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Chang W, Zhou S, Sun D, Liu Y, Mao W, Cen W, Tang W, Ye L, Wang L, Xu J. 53P Baseline PET/CT deep radiomics signature apply for identifying bevacizumab sensitivity of RAS-mutant colorectal cancer liver metastases patients. Ann Oncol 2022. [DOI: 10.1016/j.annonc.2022.10.085] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 12/07/2022] Open
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30
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Bao MY, Xie HT, Gao P, Mao X, Li ZY, Wang WH, Sopheak S, Cheng HW, Ye L, Zhang X. Current diagnosis and potential obstacles for post-neurosurgical bacterial meningitis. Eur Rev Med Pharmacol Sci 2022; 26:6351-6360. [PMID: 36111937 DOI: 10.26355/eurrev_202209_29661] [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: 06/15/2023]
Abstract
Despite the guidance of aseptic technology applied, bacterial meningitis seems to be an unavoidable obstacle in the process of neurosurgery, with high rates of disability and mortality. The diagnosis of post-neurosurgical bacterial meningitis (PNBM) mainly depends both on clinical symptoms and laboratory outcomes. Due to the excessive neuro-inflammatory reactions which are evoked by the primary brain disease or the craniotomy operation, the symptoms derived from the infection and aseptic may not be easily distinguished. On the other hand, the low positive rate and time-consuming character restrict the clinical practical values of bacterial culture. Therefore, it is always difficult to make a definite diagnosis of post-neurosurgical bacterial meningitis. Here, we reviewed the established literature about the diagnostic biomarkers for the PNBM and analyzed the potential obstacles in both clinical and scientific studies. Given the obstacle which has negative impacts on further investigation about the biology of PNBM, we only find relatively small numbers of study on PNBM. In this review, we summarize the established diagnostic methods and biomarkers for PNBM. Meanwhile, we also propose some potential investigation prospects. This review may help to better understand the character of PNBM in both clinical diagnosis and scientific investigations.
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Affiliation(s)
- M-Y Bao
- Department of Neurosurgery, the First Affiliated Hospital of Anhui Medical University, Hefei, China.
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31
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Bally ELS, van Grieken A, Ye L, Ferrando M, Fernández-Salido M, Dix R, Zanutto O, Gallucci M, Vasiljev V, Carroll A, Darley A, Gil-Salmerón A, Ortet S, Rentoumis T, Kavoulis N, Mayora-Ibarra O, Karanasiou N, Koutalieris G, Hazelzet JA, Roozenbeek B, Dippel DWJ, Raat H. 'Value-based methodology for person-centred, integrated care supported by Information and Communication Technologies' (ValueCare) for older people in Europe: study protocol for a pre-post controlled trial. BMC Geriatr 2022; 22:680. [PMID: 35978306 PMCID: PMC9386998 DOI: 10.1186/s12877-022-03333-8] [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: 12/01/2021] [Accepted: 07/23/2022] [Indexed: 12/04/2022] Open
Abstract
Background Older people receive care from multiple providers which often results in a lack of coordination. The Information and Communication Technology (ICT) enabled value-based methodology for integrated care (ValueCare) project aims to develop and implement efficient outcome-based, integrated health and social care for older people with multimorbidity, and/or frailty, and/or mild to moderate cognitive impairment in seven sites (Athens, Greece; Coimbra, Portugal; Cork/Kerry, Ireland; Rijeka, Croatia; Rotterdam, the Netherlands; Treviso, Italy; and Valencia, Spain). We will evaluate the implementation and the outcomes of the ValueCare approach. This paper presents the study protocol of the ValueCare project; a protocol for a pre-post controlled study in seven large-scale sites in Europe over the period between 2021 and 2023. Methods A pre-post controlled study design including three time points (baseline, post-intervention after 12 months, and follow-up after 18 months) and two groups (intervention and control group) will be utilised. In each site, (net) 240 older people (120 in the intervention group and 120 in the control group), 50–70 informal caregivers (e.g. relatives, friends), and 30–40 health and social care practitioners will be invited to participate and provide informed consent. Self-reported outcomes will be measured in multiple domains; for older people: health, wellbeing, quality of life, lifestyle behaviour, and health and social care use; for informal caregivers and health and social care practitioners: wellbeing, perceived burden and (job) satisfaction. In addition, implementation outcomes will be measured in terms of acceptability, appropriateness, feasibility, fidelity, and costs. To evaluate differences in outcomes between the intervention and control group (multilevel) logistic and linear regression analyses will be used. Qualitative analysis will be performed on the focus group data. Discussion This study will provide new insights into the feasibility and effectiveness of a value-based methodology for integrated care supported by ICT for older people, their informal caregivers, and health and social care practitioners in seven different European settings. Trial registration ISRCTN registry number is 25089186. Date of trial registration is 16/11/2021.
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Affiliation(s)
- E L S Bally
- Department of Public Health, Erasmus University Medical Center, Rotterdam, The Netherlands
| | - A van Grieken
- Department of Public Health, Erasmus University Medical Center, Rotterdam, The Netherlands
| | - L Ye
- Department of Public Health, Erasmus University Medical Center, Rotterdam, The Netherlands
| | - M Ferrando
- R&D+I Consultancy, Kveloce I+D+i (Senior Europa SL), Valencia, Spain
| | - M Fernández-Salido
- Polibienestar Research Institute, University of Valencia, Valencia, Spain
| | - R Dix
- Fundación de La Comunidad Valenciana Para La Promoción Estratégica, El Desarrollo Y La Innovación Urbana (Las Naves), Valencia, Spain
| | - O Zanutto
- European Project Office Department, Istituto Per Servizi Di Ricovero E Assistenza Agli Anziani (Institute for Hospitalization and Care for the Elderly), Treviso, Italy
| | - M Gallucci
- Local Health Authority N.2 Treviso, Centre for Cognitive Disease and Dementia, Treviso, Italy
| | - V Vasiljev
- Faculty of Medicine, Department of Social Medcine and Epidemiology, University of Rijeka, Rijeka, Croatia
| | - A Carroll
- School of Medicine, University College Dublin, Dublin, Ireland
| | - A Darley
- School of Medicine, University College Dublin, Dublin, Ireland
| | | | - S Ortet
- Innovation Department, Cáritas Diocesana de Coimbra, Coimbra, Portugal
| | - T Rentoumis
- Alliance for Integrated Care, Athens, Greece
| | | | - O Mayora-Ibarra
- Center for Health and Wellbeing, Fondazione Bruno Kessler, Trento, Italy
| | | | | | - J A Hazelzet
- Department of Public Health, Erasmus University Medical Center, Rotterdam, The Netherlands
| | - B Roozenbeek
- Department of Neurology, Erasmus University Medical Center, Rotterdam, The Netherlands
| | - D W J Dippel
- Department of Neurology, Erasmus University Medical Center, Rotterdam, The Netherlands
| | - H Raat
- Department of Public Health, Erasmus University Medical Center, Rotterdam, The Netherlands.
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Wen S, Ye L, Wang X, Liu D, Yang B, Man M. 398 Comparison of epidermal gene expression profiles in mice aged 1 to 20 months. J Invest Dermatol 2022. [DOI: 10.1016/j.jid.2022.05.407] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/28/2022]
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33
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Georges F, Rashad MNH, Stefanko A, Dlamini M, Karki B, Ali SF, Lin PJ, Ko HS, Israel N, Adikaram D, Ahmed Z, Albataineh H, Aljawrneh B, Allada K, Allison S, Alsalmi S, Androic D, Aniol K, Annand J, Atac H, Averett T, Ayerbe Gayoso C, Bai X, Bane J, Barcus S, Bartlett K, Bellini V, Beminiwattha R, Bericic J, Biswas D, Brash E, Bulumulla D, Campbell J, Camsonne A, Carmignotto M, Castellano J, Chen C, Chen JP, Chetry T, Christy ME, Cisbani E, Clary B, Cohen E, Compton N, Cornejo JC, Covrig Dusa S, Crowe B, Danagoulian S, Danley T, De Persio F, Deconinck W, Defurne M, Desnault C, Di D, Duer M, Duran B, Ent R, Fanelli C, Franklin G, Fuchey E, Gal C, Gaskell D, Gautam T, Glamazdin O, Gnanvo K, Gray VM, Gu C, Hague T, Hamad G, Hamilton D, Hamilton K, Hansen O, Hauenstein F, Henry W, Higinbotham DW, Holmstrom T, Horn T, Huang Y, Huber GM, Hyde CE, Ibrahim H, Jen CM, Jin K, Jones M, Kabir A, Keppel C, Khachatryan V, King PM, Li S, Li WB, Liu J, Liu H, Liyanage A, Magee J, Malace S, Mammei J, Markowitz P, McClellan E, Mazouz M, Meddi F, Meekins D, Mesik K, Michaels R, Mkrtchyan A, Montgomery R, Muñoz Camacho C, Myers LS, Nadel-Turonski P, Nazeer SJ, Nelyubin V, Nguyen D, Nuruzzaman N, Nycz M, Obretch OF, Ou L, Palatchi C, Pandey B, Park S, Park K, Peng C, Pomatsalyuk R, Pooser E, Puckett AJR, Punjabi V, Quinn B, Rahman S, Reimer PE, Roche J, Sapkota I, Sarty A, Sawatzky B, Saylor NH, Schmookler B, Shabestari MH, Shahinyan A, Sirca S, Smith GR, Sooriyaarachchilage S, Sparveris N, Spies R, Su T, Subedi A, Sulkosky V, Sun A, Thorne L, Tian Y, Ton N, Tortorici F, Trotta R, Urciuoli GM, Voutier E, Waidyawansa B, Wang Y, Wojtsekhowski B, Wood S, Yan X, Ye L, Ye Z, Yero C, Zhang J, Zhao Y, Zhu P. Deeply Virtual Compton Scattering Cross Section at High Bjorken x_{B}. Phys Rev Lett 2022; 128:252002. [PMID: 35802440 DOI: 10.1103/physrevlett.128.252002] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.5] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Track Full Text] [Subscribe] [Scholar Register] [Received: 12/04/2021] [Revised: 03/28/2022] [Accepted: 04/18/2022] [Indexed: 06/15/2023]
Abstract
We report high-precision measurements of the deeply virtual Compton scattering (DVCS) cross section at high values of the Bjorken variable x_{B}. DVCS is sensitive to the generalized parton distributions of the nucleon, which provide a three-dimensional description of its internal constituents. Using the exact analytic expression of the DVCS cross section for all possible polarization states of the initial and final electron and nucleon, and final state photon, we present the first experimental extraction of all four helicity-conserving Compton form factors (CFFs) of the nucleon as a function of x_{B}, while systematically including helicity flip amplitudes. In particular, the high accuracy of the present data demonstrates sensitivity to some very poorly known CFFs.
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Affiliation(s)
- F Georges
- Université Paris-Saclay, CNRS/IN2P3, IJCLab, 91405 Orsay, France
| | - M N H Rashad
- Old Dominion University, Norfolk, Virginia 23529, USA
| | - A Stefanko
- Carnegie Mellon University, Pittsburgh, Pennsylvania 15213, USA
| | - M Dlamini
- Ohio University, Athens, Ohio 45701, USA
| | - B Karki
- Ohio University, Athens, Ohio 45701, USA
| | - S F Ali
- Catholic University of America, Washington, DC 20064, USA
| | - P-J Lin
- Université Paris-Saclay, CNRS/IN2P3, IJCLab, 91405 Orsay, France
| | - H-S Ko
- Université Paris-Saclay, CNRS/IN2P3, IJCLab, 91405 Orsay, France
- Seoul National University, 1 Gwanak-ro, Gwanak-gu, 08826 Seoul, Korea
| | - N Israel
- Ohio University, Athens, Ohio 45701, USA
| | - D Adikaram
- Thomas Jefferson National Accelerator Facility, Newport News, Virginia 23606, USA
| | - Z Ahmed
- University of Regina, Regina, Saskatchewan, S4S 0A2 Canada
| | - H Albataineh
- Texas A&M University-Kingsville, Kingsville, Texas 78363, USA
| | - B Aljawrneh
- North Carolina Agricultural and Technical State University, Greensboro, North Carolina 27411, USA
| | - K Allada
- Massachusetts Institute of Technology, Cambridge, Massachusetts 02139, USA
| | - S Allison
- Old Dominion University, Norfolk, Virginia 23529, USA
| | - S Alsalmi
- Kent State University, Kent, Ohio 44240, USA
| | - D Androic
- University of Zagreb, Trg Republike Hrvatske 14, 10000 Zagreb, Croatia
| | - K Aniol
- California State University, Los Angeles, Los Angeles, California 90032, USA
| | - J Annand
- SUPA School of Physics and Astronomy, University of Glasgow, Glasgow G12 8QQ, United Kingdom
| | - H Atac
- Temple University, Philadelphia, Pennsylvania 19122, USA
| | - T Averett
- The College of William and Mary, Williamsburg, Virginia 23185, USA
| | - C Ayerbe Gayoso
- The College of William and Mary, Williamsburg, Virginia 23185, USA
| | - X Bai
- University of Virginia, Charlottesville, Virginia 22904, USA
| | - J Bane
- University of Tennessee, Knoxville, Tennessee 37996, USA
| | - S Barcus
- The College of William and Mary, Williamsburg, Virginia 23185, USA
| | - K Bartlett
- The College of William and Mary, Williamsburg, Virginia 23185, USA
| | - V Bellini
- Istituto Nazionale di Fisica Nucleare, Dipartimento di Fisica delle Università degli di Catania, I-95123 Catania, Italy
| | | | - J Bericic
- Thomas Jefferson National Accelerator Facility, Newport News, Virginia 23606, USA
| | - D Biswas
- Hampton University, Hampton, Virginia 23669, USA
| | - E Brash
- Christopher Newport University, Newport News, Virginia 23606, USA
| | - D Bulumulla
- Old Dominion University, Norfolk, Virginia 23529, USA
| | - J Campbell
- Dalhousie University, Nova Scotia, NS B3H 4R2, Canada
| | - A Camsonne
- Thomas Jefferson National Accelerator Facility, Newport News, Virginia 23606, USA
| | - M Carmignotto
- Catholic University of America, Washington, DC 20064, USA
| | - J Castellano
- Florida International University, Miami, Florida 33199, USA
| | - C Chen
- Hampton University, Hampton, Virginia 23669, USA
| | - J-P Chen
- Thomas Jefferson National Accelerator Facility, Newport News, Virginia 23606, USA
| | - T Chetry
- Ohio University, Athens, Ohio 45701, USA
| | - M E Christy
- Hampton University, Hampton, Virginia 23669, USA
| | - E Cisbani
- Istituto Nazionale di Fisica Nucleare-Sezione di Roma, Piazzale Aldo Moro, 2-00185 Roma, Italy
| | - B Clary
- University of Connecticut, Storrs, Connecticut 06269, USA
| | - E Cohen
- Tel Aviv University, Tel Aviv-Yafo 6997801, Israel
| | - N Compton
- Ohio University, Athens, Ohio 45701, USA
| | - J C Cornejo
- Carnegie Mellon University, Pittsburgh, Pennsylvania 15213, USA
- The College of William and Mary, Williamsburg, Virginia 23185, USA
| | - S Covrig Dusa
- Thomas Jefferson National Accelerator Facility, Newport News, Virginia 23606, USA
| | - B Crowe
- North Carolina Central University, Durham, North Carolina 27707, USA
| | - S Danagoulian
- North Carolina Agricultural and Technical State University, Greensboro, North Carolina 27411, USA
| | - T Danley
- Ohio University, Athens, Ohio 45701, USA
| | - F De Persio
- Istituto Nazionale di Fisica Nucleare-Sezione di Roma, Piazzale Aldo Moro, 2-00185 Roma, Italy
| | - W Deconinck
- The College of William and Mary, Williamsburg, Virginia 23185, USA
| | - M Defurne
- CEA Saclay, 91191 Gif-sur-Yvette, France
| | - C Desnault
- Université Paris-Saclay, CNRS/IN2P3, IJCLab, 91405 Orsay, France
| | - D Di
- University of Virginia, Charlottesville, Virginia 22904, USA
| | - M Duer
- Tel Aviv University, Tel Aviv-Yafo 6997801, Israel
| | - B Duran
- Temple University, Philadelphia, Pennsylvania 19122, USA
| | - R Ent
- Thomas Jefferson National Accelerator Facility, Newport News, Virginia 23606, USA
| | - C Fanelli
- Massachusetts Institute of Technology, Cambridge, Massachusetts 02139, USA
| | - G Franklin
- Carnegie Mellon University, Pittsburgh, Pennsylvania 15213, USA
| | - E Fuchey
- University of Connecticut, Storrs, Connecticut 06269, USA
| | - C Gal
- University of Virginia, Charlottesville, Virginia 22904, USA
| | - D Gaskell
- Thomas Jefferson National Accelerator Facility, Newport News, Virginia 23606, USA
| | - T Gautam
- Hampton University, Hampton, Virginia 23669, USA
| | - O Glamazdin
- Kharkov Institute of Physics and Technology, Kharkov 61108, Ukraine
| | - K Gnanvo
- University of Virginia, Charlottesville, Virginia 22904, USA
| | - V M Gray
- The College of William and Mary, Williamsburg, Virginia 23185, USA
| | - C Gu
- University of Virginia, Charlottesville, Virginia 22904, USA
| | - T Hague
- Kent State University, Kent, Ohio 44240, USA
| | - G Hamad
- Ohio University, Athens, Ohio 45701, USA
| | - D Hamilton
- SUPA School of Physics and Astronomy, University of Glasgow, Glasgow G12 8QQ, United Kingdom
| | - K Hamilton
- SUPA School of Physics and Astronomy, University of Glasgow, Glasgow G12 8QQ, United Kingdom
| | - O Hansen
- Thomas Jefferson National Accelerator Facility, Newport News, Virginia 23606, USA
| | - F Hauenstein
- Old Dominion University, Norfolk, Virginia 23529, USA
| | - W Henry
- Temple University, Philadelphia, Pennsylvania 19122, USA
| | - D W Higinbotham
- Thomas Jefferson National Accelerator Facility, Newport News, Virginia 23606, USA
| | - T Holmstrom
- Longwood University, Farmville, Virginia 23901, USA
| | - T Horn
- Catholic University of America, Washington, DC 20064, USA
- Thomas Jefferson National Accelerator Facility, Newport News, Virginia 23606, USA
| | - Y Huang
- University of Virginia, Charlottesville, Virginia 22904, USA
| | - G M Huber
- University of Regina, Regina, Saskatchewan, S4S 0A2 Canada
| | - C E Hyde
- Old Dominion University, Norfolk, Virginia 23529, USA
| | - H Ibrahim
- Cairo University, Cairo 121613, Egypt
| | - C-M Jen
- Virginia Polytechnic Institute & State University, Blacksburg, Virginia 234061, USA
| | - K Jin
- University of Virginia, Charlottesville, Virginia 22904, USA
| | - M Jones
- Thomas Jefferson National Accelerator Facility, Newport News, Virginia 23606, USA
| | - A Kabir
- Kent State University, Kent, Ohio 44240, USA
| | - C Keppel
- Thomas Jefferson National Accelerator Facility, Newport News, Virginia 23606, USA
| | - V Khachatryan
- Thomas Jefferson National Accelerator Facility, Newport News, Virginia 23606, USA
- Stony Brook, State University of New York, New York 11794, USA
- Cornell University, Ithaca, New York 14853, USA
| | - P M King
- Ohio University, Athens, Ohio 45701, USA
| | - S Li
- University of New Hampshire, Durham, New Hampshire 03824, USA
| | - W B Li
- University of Regina, Regina, Saskatchewan, S4S 0A2 Canada
| | - J Liu
- University of Virginia, Charlottesville, Virginia 22904, USA
| | - H Liu
- Columbia University, New York, New York 10027, USA
| | - A Liyanage
- Hampton University, Hampton, Virginia 23669, USA
| | - J Magee
- The College of William and Mary, Williamsburg, Virginia 23185, USA
| | - S Malace
- Thomas Jefferson National Accelerator Facility, Newport News, Virginia 23606, USA
| | - J Mammei
- University of Manitoba, Winnipeg, MB R3T 2N2, Canada
| | - P Markowitz
- Florida International University, Miami, Florida 33199, USA
| | - E McClellan
- Thomas Jefferson National Accelerator Facility, Newport News, Virginia 23606, USA
| | - M Mazouz
- Faculté des Sciences de Monastir, Monastir 5019, Tunisia
| | - F Meddi
- Istituto Nazionale di Fisica Nucleare-Sezione di Roma, Piazzale Aldo Moro, 2-00185 Roma, Italy
| | - D Meekins
- Thomas Jefferson National Accelerator Facility, Newport News, Virginia 23606, USA
| | - K Mesik
- Rutgers University, New Brunswick, New Jersey 08854, USA
| | - R Michaels
- Thomas Jefferson National Accelerator Facility, Newport News, Virginia 23606, USA
| | - A Mkrtchyan
- Catholic University of America, Washington, DC 20064, USA
| | - R Montgomery
- SUPA School of Physics and Astronomy, University of Glasgow, Glasgow G12 8QQ, United Kingdom
| | - C Muñoz Camacho
- Université Paris-Saclay, CNRS/IN2P3, IJCLab, 91405 Orsay, France
| | - L S Myers
- Thomas Jefferson National Accelerator Facility, Newport News, Virginia 23606, USA
| | - P Nadel-Turonski
- Thomas Jefferson National Accelerator Facility, Newport News, Virginia 23606, USA
| | - S J Nazeer
- Hampton University, Hampton, Virginia 23669, USA
| | - V Nelyubin
- University of Virginia, Charlottesville, Virginia 22904, USA
| | - D Nguyen
- University of Virginia, Charlottesville, Virginia 22904, USA
| | - N Nuruzzaman
- Hampton University, Hampton, Virginia 23669, USA
| | - M Nycz
- Kent State University, Kent, Ohio 44240, USA
| | - O F Obretch
- University of Connecticut, Storrs, Connecticut 06269, USA
| | - L Ou
- Massachusetts Institute of Technology, Cambridge, Massachusetts 02139, USA
| | - C Palatchi
- University of Virginia, Charlottesville, Virginia 22904, USA
| | - B Pandey
- Hampton University, Hampton, Virginia 23669, USA
| | - S Park
- Stony Brook, State University of New York, New York 11794, USA
| | - K Park
- Old Dominion University, Norfolk, Virginia 23529, USA
| | - C Peng
- Duke University, Durham, North Carolina 27708, USA
| | - R Pomatsalyuk
- Kharkov Institute of Physics and Technology, Kharkov 61108, Ukraine
| | - E Pooser
- Thomas Jefferson National Accelerator Facility, Newport News, Virginia 23606, USA
| | - A J R Puckett
- University of Connecticut, Storrs, Connecticut 06269, USA
| | - V Punjabi
- Norfolk State University, Norfolk, Virginia 23504, USA
| | - B Quinn
- Carnegie Mellon University, Pittsburgh, Pennsylvania 15213, USA
| | - S Rahman
- University of Manitoba, Winnipeg, MB R3T 2N2, Canada
| | - P E Reimer
- Physics Division, Argonne National Laboratory, Lemont, Illinois 60439, USA
| | - J Roche
- Ohio University, Athens, Ohio 45701, USA
| | - I Sapkota
- Catholic University of America, Washington, DC 20064, USA
| | - A Sarty
- Saint Mary's University, Halifax, Nova Scotia B3H 3C3, Canada
| | - B Sawatzky
- Thomas Jefferson National Accelerator Facility, Newport News, Virginia 23606, USA
| | - N H Saylor
- Rensselaer Polytechnic Institute, Troy, New York 12180, USA
| | - B Schmookler
- Massachusetts Institute of Technology, Cambridge, Massachusetts 02139, USA
| | - M H Shabestari
- Mississippi State University, Mississippi State, Mississippi 39762, USA
| | - A Shahinyan
- AANL, 2 Alikhanian Brothers Street, 0036 Yerevan, Armenia
| | - S Sirca
- Faculty of Mathematics and Physics, University of Ljubljana, 1000 Ljubljana, Slovenia
| | - G R Smith
- Thomas Jefferson National Accelerator Facility, Newport News, Virginia 23606, USA
| | | | - N Sparveris
- Temple University, Philadelphia, Pennsylvania 19122, USA
| | - R Spies
- University of Manitoba, Winnipeg, MB R3T 2N2, Canada
| | - T Su
- Kent State University, Kent, Ohio 44240, USA
| | - A Subedi
- Mississippi State University, Mississippi State, Mississippi 39762, USA
| | - V Sulkosky
- University of Virginia, Charlottesville, Virginia 22904, USA
| | - A Sun
- Carnegie Mellon University, Pittsburgh, Pennsylvania 15213, USA
| | - L Thorne
- Carnegie Mellon University, Pittsburgh, Pennsylvania 15213, USA
| | - Y Tian
- Shandong University, Jinan 250100, China
| | - N Ton
- University of Virginia, Charlottesville, Virginia 22904, USA
| | - F Tortorici
- Istituto Nazionale di Fisica Nucleare, Dipartimento di Fisica delle Università degli di Catania, I-95123 Catania, Italy
| | - R Trotta
- Duquesne University, 600 Forbes Avenue, Pittsburgh, Pennsylvania 15282, USA
| | - G M Urciuoli
- Istituto Nazionale di Fisica Nucleare-Sezione di Roma, Piazzale Aldo Moro, 2-00185 Roma, Italy
| | - E Voutier
- Université Paris-Saclay, CNRS/IN2P3, IJCLab, 91405 Orsay, France
| | - B Waidyawansa
- Thomas Jefferson National Accelerator Facility, Newport News, Virginia 23606, USA
| | - Y Wang
- The College of William and Mary, Williamsburg, Virginia 23185, USA
| | - B Wojtsekhowski
- Thomas Jefferson National Accelerator Facility, Newport News, Virginia 23606, USA
| | - S Wood
- Thomas Jefferson National Accelerator Facility, Newport News, Virginia 23606, USA
| | - X Yan
- Huangshan University, Tunxi, Daizhen Road 245041, China
| | - L Ye
- Mississippi State University, Mississippi State, Mississippi 39762, USA
| | - Z Ye
- University of Virginia, Charlottesville, Virginia 22904, USA
| | - C Yero
- Florida International University, Miami, Florida 33199, USA
| | - J Zhang
- University of Virginia, Charlottesville, Virginia 22904, USA
| | - Y Zhao
- Stony Brook, State University of New York, New York 11794, USA
| | - P Zhu
- University of Science and Technology of China, Hefei, Anhui 230026, China
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Fang Z, Jiang W, Ye L. P-235 Elevated protein tyrosine phosphatase kappa expression is associated with disease progression and poor prognosis of pancreatic cancer. Ann Oncol 2022. [DOI: 10.1016/j.annonc.2022.04.325] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/30/2022] Open
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Asharaf H, Xu Y, Ye L, Jiang W. P-293 Increased expression of dual-specificity phosphatase 7 in gastric cancer is associated with poor prognosis and chemoresistance. Ann Oncol 2022. [DOI: 10.1016/j.annonc.2022.04.382] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/28/2022] Open
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Zeng J, Sanders A, Hargest R, Ye L, Jiang W. P-266 Expression of HSP60 in colorectal cancer and implication in chemotherapeutic responses. Ann Oncol 2022. [DOI: 10.1016/j.annonc.2022.04.356] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/01/2022] Open
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Sui L, Zeng J, Ye L, Martin T, Jiang W, Hargest R. P-282 Impact of death-associated protein-3 (DAP3) and DAP3 binding cell death enhancer 1 (DELE1) on drug sensitivity in colorectal cancer cells. Ann Oncol 2022. [DOI: 10.1016/j.annonc.2022.04.371] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/16/2022] Open
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Ye L, Chen D, Miao S, Zhu G, Zheng M, Pan C, Ye C. AB0864 A nomogram model combining inflammatory factors and MRI radiomics to assess the disease activity of the patients with axSpA in a prospective study. Ann Rheum Dis 2022. [DOI: 10.1136/annrheumdis-2022-eular.4224] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/04/2022]
Abstract
BackgroundClinical and magnetic resonance imaging (MRI) disease activity score (DAS) are measuring different aspects of axial spondyloarthritis (axSpA), they are essential in disease activity assessment. The radiomics was on facilitating readings by clinical specialists via enhancing the medical images in which subtle data differences could be distinguished.ObjectivesIf the additional information of MRI imaging can be considered as a predictor for axSpA disease activity? In this study, we sought to construct a nomogram integrating the sacroiliac joint (SIJ)- MRI radiomics features and the inflammatory biomarkers to assess disease activity and compare it with clinical disease acitivity index in axSpA patients.Methods203 patients data were collected prospectively and confirmed as axSpA were randomly divided into training (n = 143) and validation cohorts (n = 60). 1316 radiomics features were extracted from the 3.0T SIJ-MRI. A Nomogram model was constructed using multivariate logistic regression analysis Incorporating independent clinical factors and radiomics features score (Rad-score). The performance of clinics, Rad-score and nomogram models were evaluated by ROC analysis, calibration curve and decision curve analysis (DCA), and compared with the disease activity index(Ankylosing Spondylitis DAS (ASDAS)-C reactive protein (CRP), ASDAS-erythrocyte sedimentation rate (ESR), Bath Ankylosing Spondylitis Disease Activity Index (BASDAI), Bath Ankylosing Spondylitis Functional Index (BASFI)) and Spondyloarthritis Research Consortium of Canada (SPARCC) MRI scoring system.ResultsThe Rad-score allowed a good discrimination in the training (AUC, 0.91; 95% CI, 0.85-0.96) and the validation cohort (AUC, 0.84; 95% CI, 0.73-0.96). The CRP-radiomics nomogram model also showed favorable discrimination in the training (AUC, 0.96; 95% CI, 0.93-0.99) and the validation cohort (AUC, 0.89; 95% CI, 0.80-0.98), better than BASDAI(AUC, 0.58), ASDAS-CRP(AUC, 0.72), ASDAS-ESR(AUC, 0.77), ESR(AUC, 0.72), CRP(AUC, 0.77) and BASFI(AUC, 0.73), had no statistical difference with SPARCC(AUC, 0.87). Calibration curves and DCA demonstrated the nomogram fit well (p > 0.05) and was useful for activity evaluation.ConclusionRad-score showed good discriminative ability to assess disease activity in axSpA. The nomogram can increase the efficacy for assessment axSpA disease activity, which might simplify clinical evaluation.Figure 1.Comparison of ROC curve analyses in prediction models. ROC curves of the clinical features (green curve), radiomics signature model (blue curve), and hybrid model (gold curve) of axSpA in the training cohort (A) and validation cohort (B), respectively. In addition, there are AUC of ASDAS-CRP(pink curve), ASDAS-ESR(brown curve), BASDAI(purple curve), BASFI(azure curve) and SPARCC scoring system(yellow curve) in the validation cohort (B), respectively. AUC: area under the curve; ROC: receiver operating characteristic; SPARCC: Spondyloarthritis Research Consortium of Canada; BASDAI: Bath Ankylosing Spondylitis Disease Activity Index; ASDAS: Ankylosing Spondylitis Disease Activity Score; CRP: C reactive protein; ESR: erythrocyte sedimentation rate; BASFI: Bath Ankylosing Spondylitis Disease Activity Index.References[1]Lee KH, Choi ST, Lee GY, Ha YJ, Choi SI. Method for Diagnosing the Bone Marrow Edema of Sacroiliac Joint in Patients with Axial Spondyloarthritis Using Magnetic Resonance Image Analysis Based on Deep Learning. Diagnostics (Basel). 2021;11(7).[2]Zheng Q, Liu W, Huang Y, Gao Z, Wu Y, Wang X, et al. Predictive Value of Active Sacroiliitis in MRI for Flare Among Chinese Patients with Axial Spondyloarthritis in Remission. Rheumatol Ther. 2021;8(1):411-24.AcknowledgementsNo conflict of interestDisclosure of InterestsNone declared
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Zheng M, Miao S, Chen D, Yao F, Xiao Q, Zhu G, Pan C, Lei T, Ye C, Yang Y, Ye L. POS0962 CAN RADIOMICS REPLACE SPARCC SCORING SYSTEM IN EVALUATING BONE MARROW OEDEMA OF THE SACROILIAC JOINTS IN AXIAL SPONDYLOARTHRITIS? Ann Rheum Dis 2022. [DOI: 10.1136/annrheumdis-2022-eular.647] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/03/2022]
Abstract
BackgroundBone marrow oedema (BMO) of the sacroiliac joints (SIJs) is evaluated to diagnose, classify and monitor disease activity in patients with axial spondyloarthritis (axSpA). Available quantitative methodologies rely on human visual assessment, and errors can’t be completely avoided. Radiomics can extract and select discriminative and quantified features from regions of interest (ROIs), making a more accurate and objective description of BMO.ObjectivesTo develop a more objective and efficient method based on radiomics to evaluate BMO of the SIJs by magnetic resonance imaging (MRI) in patients with axSpA in comparison with Spondyloarthritis Research Consortium of Canada (SPARCC) scoring system.MethodsFrom September 2013 to July 2021, 523 patients with axSpA underwent 3.0T SIJ-MRI were included, who were randomly classified as training cohort(n=367) and validation cohort(n=156). The optimal radiomics features, selected from the 3.0T SIJ-MRI in the training cohort, were included to build the radiomics model. Four clinical risk predictors were adopted to build the clinical model. The performance of the clinical and radiomics models was evaluated by ROC analysis and decision curve analysis (DCA). Rad-scores were calculated by the radiomics model and SPARCC scores were performed to quantify the BMO of SIJs. We also assessed the correlation between Rad-score and SPARCC score.ResultsThe radiomics model, built by 15 optimal features, showed favorable discrimination about SPARCC score <2 or ≥2 both in the training (AUC, 0.91; 95% CI: 0.88-0.94) and the validation cohort (AUC, 0.89; 95% CI, 0.84-0.94). DCA confirmed that the radiomics model was clinically useful. Furthermore, Rad-score has significant correlation with SPARCC score for scoring the status of BMO (rs=0.78, P< 0.001), and moderation correlation for scoring the change (r=0.40, P=0.005).ConclusionThe radiomics can accurately assess the BMO of the SIJs in axSpA, providing an alternative to SPARCC scoring system. There was a positive correlation between Rad-score and SPARCC score.References[1]van der Heijde D, Sieper J, Maksymowych WP, Lambert RG, Chen S, Hojnik M, et al. Clinical and MRI remission in patients with nonradiographic axial spondyloarthritis who received long-term open-label adalimumab treatment: 3-year results of the ABILITY-1 trial. Arthritis Res Ther. 2018;20(1):61.[2]Landewé RB, Hermann KG, van der Heijde DM, Baraliakos X, Jurik AG, Lambert RG, et al. Scoring sacroiliac joints by magnetic resonance imaging. A multiple-reader reliability experiment. The Journal of rheumatology. 2005;32(10):2050-5.[3]Cereser L, Zabotti A, Zancan G, Quartuccio L, Cicciò C, Giovannini I, et al. Magnetic resonance imaging assessment of ASAS-defined active sacroiliitis in patients with inflammatory back pain and suspected axial spondyloarthritis: a study of reliability. Clinical and experimental rheumatology. 2021.[4]Maksymowych WP, Inman RD, Salonen D, Dhillon SS, Williams M, Stone M, et al. Spondyloarthritis research Consortium of Canada magnetic resonance imaging index for assessment of sacroiliac joint inflammation in ankylosing spondylitis. Arthritis Rheum. 2005;53(5):703-9.[5]Gillies RJ, Kinahan PE, Hricak H. Radiomics: Images Are More than Pictures, They Are Data. Radiology. 2016;278(2):563-77.Table 1.Rad-scores corresponding to different SPARCC score intervals about the status of SIJ-BMO.SPARCC scorenRad-scoreMean(sd)Median (iqr)Range0-1170-1.31(1.64)-1.39(2.16)-6.46, 2.352-61250.73(1.86)0.62(2.12)-3.08, 8.487-11552.25(1.80)2.36(1.79)-1.17, 8.3612-16432.65(2.14)2.66(3.21)-0.76, 7.3917-21383.31(2.05)3.25(2.88)-0.88, 7.5522-26263.08(1.55)3.38(2.12)-1.00, 5.3827-31253.77(1.36)3.77(1.59)0.40, 6.27>31414.10(1.51)4.32(2.28)1.00, 6.96Disclosure of InterestsNone declared
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Hu XR, Zhao X, Zhang L, Jing LP, Yang WR, Li Y, Ye L, Zhou K, Li JP, Peng GX, Fan HH, Li Y, Yang Y, Xiong YZ, Zhang FK. [Reassessing the six months prognosis of patients with severe or very severe aplastic anemia without hematological responses at three months after immunosuppressive therapy]. Zhonghua Xue Ye Xue Za Zhi 2022; 43:393-399. [PMID: 35680597 PMCID: PMC9250949 DOI: 10.3760/cma.j.issn.0253-2727.2022.05.008] [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] [Download PDF] [Figures] [Subscribe] [Scholar Register] [Received: 10/19/2021] [Indexed: 12/03/2022]
Abstract
Objective: To reassess the predictors for response at 6 months in patients with severe or very severe aplastic anemia (SAA/VSAA) who failed to respond to immunosuppressive therapy (IST) at 3 months. Methods: We retrospectively analyzed the clinical data of 173 patients with SAA/VSAA from 2017 to 2018 who received IST and were classified as nonresponders at 3 months. Univariate and multivariate logistic regression analysis were used to evaluate factors that could predict the response at 6 months. Results: Univariate analysis showed that the 3-month hemoglobin (HGB) level (P=0.017) , platelet (PLT) level (P=0.005) , absolute reticulocyte count (ARC) (P<0.001) , trough cyclosporine concentration (CsA-C0) (P=0.042) , soluble transferrin receptor (sTfR) level (P=0.003) , improved value of reticulocyte count (ARC(△)) (P<0.001) , and improved value of soluble transferrin receptor (sTfR(△)) level (P<0.001) were related to the 6-month response. The results of the multivariate analysis showed that the PLT level (P=0.020) and ARC(△) (P<0.001) were independent prognostic factors for response at 6 months. If the ARC(△) was less than 6.9×10(9)/L, the 6-month hematological response rate was low, regardless of the patient's PLT count. Survival analysis showed that both the 3-year overall survival (OS) [ (80.1±3.9) % vs (97.6±2.6) %, P=0.002] and 3-year event-free survival (EFS) [ (31.4±4.5) % vs (86.5±5.3) %, P<0.001] of the nonresponders at 6 months were significantly lower than those of the response group. Conclusion: Residual hematopoietic indicators at 3 months after IST are prognostic parameters. The improved value of the reticulocyte count could reflect whether the bone marrow hematopoiesis is recovering and the degree of recovery. A second treatment could be performed sooner for patients with a very low ARC(△).
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Affiliation(s)
- X R Hu
- State Key Laboratory of Experimental Hematology, National Clinical Research Center for Blood Diseases, Institute of Hematology & Blood Diseases Hospital, Chinese Academy of Medical Sciences & Peking Union Medical College, Tianjin 300020, China
| | - X Zhao
- State Key Laboratory of Experimental Hematology, National Clinical Research Center for Blood Diseases, Institute of Hematology & Blood Diseases Hospital, Chinese Academy of Medical Sciences & Peking Union Medical College, Tianjin 300020, China
| | - L Zhang
- State Key Laboratory of Experimental Hematology, National Clinical Research Center for Blood Diseases, Institute of Hematology & Blood Diseases Hospital, Chinese Academy of Medical Sciences & Peking Union Medical College, Tianjin 300020, China
| | - L P Jing
- State Key Laboratory of Experimental Hematology, National Clinical Research Center for Blood Diseases, Institute of Hematology & Blood Diseases Hospital, Chinese Academy of Medical Sciences & Peking Union Medical College, Tianjin 300020, China
| | - W R Yang
- State Key Laboratory of Experimental Hematology, National Clinical Research Center for Blood Diseases, Institute of Hematology & Blood Diseases Hospital, Chinese Academy of Medical Sciences & Peking Union Medical College, Tianjin 300020, China
| | - Y Li
- State Key Laboratory of Experimental Hematology, National Clinical Research Center for Blood Diseases, Institute of Hematology & Blood Diseases Hospital, Chinese Academy of Medical Sciences & Peking Union Medical College, Tianjin 300020, China
| | - L Ye
- State Key Laboratory of Experimental Hematology, National Clinical Research Center for Blood Diseases, Institute of Hematology & Blood Diseases Hospital, Chinese Academy of Medical Sciences & Peking Union Medical College, Tianjin 300020, China
| | - K Zhou
- State Key Laboratory of Experimental Hematology, National Clinical Research Center for Blood Diseases, Institute of Hematology & Blood Diseases Hospital, Chinese Academy of Medical Sciences & Peking Union Medical College, Tianjin 300020, China
| | - J P Li
- State Key Laboratory of Experimental Hematology, National Clinical Research Center for Blood Diseases, Institute of Hematology & Blood Diseases Hospital, Chinese Academy of Medical Sciences & Peking Union Medical College, Tianjin 300020, China
| | - G X Peng
- State Key Laboratory of Experimental Hematology, National Clinical Research Center for Blood Diseases, Institute of Hematology & Blood Diseases Hospital, Chinese Academy of Medical Sciences & Peking Union Medical College, Tianjin 300020, China
| | - H H Fan
- State Key Laboratory of Experimental Hematology, National Clinical Research Center for Blood Diseases, Institute of Hematology & Blood Diseases Hospital, Chinese Academy of Medical Sciences & Peking Union Medical College, Tianjin 300020, China
| | - Y Li
- State Key Laboratory of Experimental Hematology, National Clinical Research Center for Blood Diseases, Institute of Hematology & Blood Diseases Hospital, Chinese Academy of Medical Sciences & Peking Union Medical College, Tianjin 300020, China
| | - Y Yang
- State Key Laboratory of Experimental Hematology, National Clinical Research Center for Blood Diseases, Institute of Hematology & Blood Diseases Hospital, Chinese Academy of Medical Sciences & Peking Union Medical College, Tianjin 300020, China
| | - Y Z Xiong
- State Key Laboratory of Experimental Hematology, National Clinical Research Center for Blood Diseases, Institute of Hematology & Blood Diseases Hospital, Chinese Academy of Medical Sciences & Peking Union Medical College, Tianjin 300020, China
| | - F K Zhang
- State Key Laboratory of Experimental Hematology, National Clinical Research Center for Blood Diseases, Institute of Hematology & Blood Diseases Hospital, Chinese Academy of Medical Sciences & Peking Union Medical College, Tianjin 300020, China
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Ye L, Wang Z, Kim Y, Elias PM, Li T, Wen S, Song J, Lv C, Yang B, Man MQ. A Topical Emollient Mitigates the Progression of Cognitive Impairment in the Elderly: A Randomized, Open-Label Pilot Trial. J Eur Acad Dermatol Venereol 2022; 36:1382-1388. [PMID: 35442543 DOI: 10.1111/jdv.18162] [Citation(s) in RCA: 7] [Impact Index Per Article: 3.5] [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: 01/12/2022] [Revised: 02/21/2022] [Accepted: 03/24/2022] [Indexed: 11/28/2022]
Abstract
BACKGROUND Cognitive impairment is common in the elderly. Prior studies suggest a link between chronic inflammation and cognitive dysfunction, while aging-associated epidermal dysfunction has been connected to elevations in circulating cytokines. OBJECTIVE We assessed here whether improvements in epidermal function can mitigate the progression of cognitive impairment. METHODS This randomized, open-label pilot trial was carried out in two cities in northern China. A total of 200 participants aged ≥65 years were randomly assigned to the emollient-treated and untreated groups at 1:1 ratio. Participants in the treated group were treated topically with Atopalm cream® twice-daily from November to the following May each year for three consecutive years, while the untreated subjects served as controls. The Global Deterioration Scale (GDS) was used to assess the severity of cognitive impairment, while epidermal biophysical properties were measured on the forearms and the shins in parallel. RESULTS Over the three-year trial, GDS significantly increased from baseline (p<0.0001) in the controls, while in the treated group, GDS stabilized. While stratum corneum hydration on the forearms did not change significantly in the controls, transepidermal water loss rates (TEWL), significantly increased by the end of the trial compared to baselines in the controls (p<0.0001). On the forearms of the treated group, stratum corneum hydration increased (p<0.0001) while skin surface pH decreased from baseline (p<0.0001). CONCLUSIONS These results suggest that improvements in epidermal function with topical emollient can mitigate the progression of cognitive impairment. However, the sample size was relatively small, and trials in a larger cohort are needed to validate the present results.
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Affiliation(s)
- L Ye
- Dermatology Hospital, Southern Medical University, Guangdong, 510091, China
| | - Z Wang
- The 7th People's Hospital of Shenyang, Liaoning, 110003, China
| | - Y Kim
- CRID Center, NeoPharm Co., Ltd., Daejeon, 34037, Republic of Korea
| | - P M Elias
- Department of Dermatology, University of California San Francisco and Veterans Affairs Medical Center, San Francisco, CA, 94121, USA
| | - T Li
- The 7th People's Hospital of Shenyang, Liaoning, 110003, China
| | - S Wen
- Dermatology Hospital, Southern Medical University, Guangdong, 510091, China
| | - J Song
- Department of Dermatology, Dalian Skin Disease Hospital, Liaoning, 116021, China
| | - C Lv
- Department of Dermatology, Dalian Skin Disease Hospital, Liaoning, 116021, China
| | - B Yang
- Dermatology Hospital, Southern Medical University, Guangdong, 510091, China
| | - M Q Man
- Dermatology Hospital, Southern Medical University, Guangdong, 510091, China
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42
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Christy ME, Gautam T, Ou L, Schmookler B, Wang Y, Adikaram D, Ahmed Z, Albataineh H, Ali SF, Aljawrneh B, Allada K, Allison SL, Alsalmi S, Androic D, Aniol K, Annand J, Arrington J, Atac H, Averett T, Ayerbe Gayoso C, Bai X, Bane J, Barcus S, Bartlett K, Bellini V, Beminiwattha R, Bericic J, Bhatt H, Bhetuwal D, Biswas D, Brash E, Bulumulla D, Camacho CM, Campbell J, Camsonne A, Carmignotto M, Castellanos J, Chen C, Chen JP, Chetry T, Cisbani E, Clary B, Cohen E, Compton N, Cornejo JC, Covrig Dusa S, Crowe B, Danagoulian S, Danley T, Deconinck W, Defurne M, Desnault C, Di D, Dlamini M, Duer M, Duran B, Ent R, Fanelli C, Fuchey E, Gal C, Gaskell D, Georges F, Gilad S, Glamazdin O, Gnanvo K, Gramolin AV, Gray VM, Gu C, Habarakada A, Hague T, Hamad G, Hamilton D, Hamilton K, Hansen O, Hauenstein F, Hernandez AV, Henry W, Higinbotham DW, Holmstrom T, Horn T, Huang Y, Huber GM, Hyde C, Ibrahim H, Israel N, Jen CM, Jin K, Jones M, Kabir A, Karki B, Keppel C, Khachatryan V, King PM, Li S, Li W, Liu H, Liu J, Liyanage AH, Mack D, Magee J, Malace S, Mammei J, Markowitz P, Mayilyan S, McClellan E, Meddi F, Meekins D, Mesick K, Michaels R, Mkrtchyan A, Moffit B, Montgomery R, Myers LS, Nadel-Turonski P, Nazeer SJ, Nelyubin V, Nguyen D, Nuruzzaman N, Nycz M, Obrecht RF, Ohanyan K, Palatchi C, Pandey B, Park K, Park S, Peng C, Persio FD, Pomatsalyuk R, Pooser E, Puckett AJR, Punjabi V, Quinn B, Rahman S, Rashad MNH, Reimer PE, Riordan S, Roche J, Sapkota I, Sarty A, Sawatzky B, Saylor NH, Shabestari MH, Shahinyan A, Širca S, Smith GR, Sooriyaarachchilage S, Sparveris N, Spies R, Stefanko A, Su T, Subedi A, Sulkosky V, Sun A, Tan Y, Thorne L, Ton N, Tortorici F, Trotta R, Uniyal R, Urciuoli GM, Voutier E, Waidyawansa B, Wojtsekhowski B, Wood S, Yan X, Ye L, Ye ZH, Yero C, Zhang J, Zhao YX, Zhu P. Form Factors and Two-Photon Exchange in High-Energy Elastic Electron-Proton Scattering. Phys Rev Lett 2022; 128:102002. [PMID: 35333083 DOI: 10.1103/physrevlett.128.102002] [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] [Subscribe] [Scholar Register] [Received: 03/22/2021] [Revised: 11/06/2021] [Accepted: 01/31/2022] [Indexed: 06/14/2023]
Abstract
We present new precision measurements of the elastic electron-proton scattering cross section for momentum transfer (Q^{2}) up to 15.75 (GeV/c)^{2}. Combined with existing data, these provide an improved extraction of the proton magnetic form factor at high Q^{2} and double the range over which a longitudinal or transverse separation of the cross section can be performed. The difference between our results and polarization data agrees with that observed at lower Q^{2} and attributed to hard two-photon exchange (TPE) effects, extending to 8 (GeV/c)^{2} the range of Q^{2} for which a discrepancy is established at >95% confidence. We use the discrepancy to quantify the size of TPE contributions needed to explain the cross section at high Q^{2}.
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Affiliation(s)
- M E Christy
- Hampton University, Hampton, Virginia 23669, USA
| | - T Gautam
- Hampton University, Hampton, Virginia 23669, USA
| | - L Ou
- Massachusetts Institute of Technology, Cambridge, Massachusetts 02139, USA
| | - B Schmookler
- Massachusetts Institute of Technology, Cambridge, Massachusetts 02139, USA
| | - Y Wang
- William and Mary, Williamsburg, Virginia 23185, USA
| | - D Adikaram
- Thomas Jefferson National Accelerator Facility, Newport News, Virginia 23606, USA
| | - Z Ahmed
- University of Regina, Regina, Saskatchewan S4S 0A2 Canada
| | - H Albataineh
- Texas A & M University, Kingsville, Texas 77843, USA
| | - S F Ali
- Catholic University of America, Washington, District of Columbia 20064, USA
| | - B Aljawrneh
- North Carolina A&T State University, Greensboro, North Carolina 27411, USA
- Al Zaytoonah University of Jordan, Amman 11733, Jordan
| | - K Allada
- Massachusetts Institute of Technology, Cambridge, Massachusetts 02139, USA
| | - S L Allison
- Old Dominion University, Norfolk, Virginia 23529, USA
| | - S Alsalmi
- Kent State University, Kent, Ohio 44240, USA
| | - D Androic
- University of Zagreb, Trg Republike Hrvatske 14, 10000, Zagreb, Croatia
| | - K Aniol
- California State University, Los Angeles, Los Angeles, California 90032, USA
| | - J Annand
- SUPA School of Physics and Astronomy, University of Glasgow, Glasgow G12 8QQ, United Kingdom
| | - J Arrington
- Lawrence Berkeley National Laboratory, Berkeley, California 94720, USA
- Argonne National Laboratory, Lemont, Illinois 60439, USA
| | - H Atac
- Temple University, Philadelphia, Pennsylvania 19122, USA
| | - T Averett
- William and Mary, Williamsburg, Virginia 23185, USA
| | | | - X Bai
- University of Virginia, Charlottesville, Virginia 232904, USA
| | - J Bane
- University of Tennessee, Knoxville, Tennessee 37996, USA
| | - S Barcus
- William and Mary, Williamsburg, Virginia 23185, USA
| | - K Bartlett
- William and Mary, Williamsburg, Virginia 23185, USA
| | - V Bellini
- Istituto Nazionale di Fisica Nucleare, Department of Physics and Astronomy, I-95123 Catania, Italy
| | | | - J Bericic
- Thomas Jefferson National Accelerator Facility, Newport News, Virginia 23606, USA
| | - H Bhatt
- Mississippi State University, Mississippi State, Mississippi 39762, USA
| | - D Bhetuwal
- Mississippi State University, Mississippi State, Mississippi 39762, USA
| | - D Biswas
- Hampton University, Hampton, Virginia 23669, USA
| | - E Brash
- Christopher Newport University, Newport News, Virginia 23606, USA
| | - D Bulumulla
- Old Dominion University, Norfolk, Virginia 23529, USA
| | - C M Camacho
- Institut de Physique Nucleaire, 15 Rue Georges Clemenceau, 91400 Orsay, France
| | - J Campbell
- Dalhousie University, Nova Scotia NS B3H 4R2, Canada
| | - A Camsonne
- Thomas Jefferson National Accelerator Facility, Newport News, Virginia 23606, USA
| | - M Carmignotto
- Catholic University of America, Washington, DC 20064, USA
| | - J Castellanos
- Florida International University, Miami, Florida 33199, USA
| | - C Chen
- Hampton University, Hampton, Virginia 23669, USA
| | - J-P Chen
- Thomas Jefferson National Accelerator Facility, Newport News, Virginia 23606, USA
| | - T Chetry
- Ohio University, Athens, Ohio 45701, USA
| | - E Cisbani
- Istituto Nazionale di Fisica Nucleare - Sezione di Roma, P.le Aldo Moro, 2 - 00185 Roma, Italy
| | - B Clary
- University of Connecticut, Storrs, Connecticut 06269, USA
| | - E Cohen
- Tel Aviv University, Tel Aviv-Yafo 69978, Israel
| | - N Compton
- Ohio University, Athens, Ohio 45701, USA
| | - J C Cornejo
- William and Mary, Williamsburg, Virginia 23185, USA
- Carnegie Mellon University, Pittsburgh, Pennsylvania 15213, USA
| | - S Covrig Dusa
- Thomas Jefferson National Accelerator Facility, Newport News, Virginia 23606, USA
| | - B Crowe
- North Carolina Central University, Durham, North Carolina 27707, USA
| | - S Danagoulian
- North Carolina A&T State University, Greensboro, North Carolina 27411, USA
| | - T Danley
- Ohio University, Athens, Ohio 45701, USA
| | - W Deconinck
- William and Mary, Williamsburg, Virginia 23185, USA
| | - M Defurne
- CEA Saclay, 91191 Gif-sur-Yvette, France
| | - C Desnault
- Institut de Physique Nucleaire, 15 Rue Georges Clemenceau, 91400 Orsay, France
| | - D Di
- University of Virginia, Charlottesville, Virginia 232904, USA
| | - M Dlamini
- Ohio University, Athens, Ohio 45701, USA
| | - M Duer
- Tel Aviv University, Tel Aviv-Yafo 69978, Israel
| | - B Duran
- Temple University, Philadelphia, Pennsylvania 19122, USA
| | - R Ent
- Thomas Jefferson National Accelerator Facility, Newport News, Virginia 23606, USA
| | - C Fanelli
- Massachusetts Institute of Technology, Cambridge, Massachusetts 02139, USA
| | - E Fuchey
- University of Connecticut, Storrs, Connecticut 06269, USA
| | - C Gal
- University of Virginia, Charlottesville, Virginia 232904, USA
| | - D Gaskell
- Thomas Jefferson National Accelerator Facility, Newport News, Virginia 23606, USA
| | - F Georges
- Ecole Centrale Paris, 3 Rue Joliot Curie, 91190 Gif-sur-Yvette, France
| | - S Gilad
- Massachusetts Institute of Technology, Cambridge, Massachusetts 02139, USA
| | - O Glamazdin
- Kharkov Institute of Physics and Technology, Kharkov 61108, Ukraine
| | - K Gnanvo
- University of Virginia, Charlottesville, Virginia 232904, USA
| | - A V Gramolin
- Boston University, Boston, Massachusetts 02215, USA
| | - V M Gray
- William and Mary, Williamsburg, Virginia 23185, USA
| | - C Gu
- University of Virginia, Charlottesville, Virginia 232904, USA
| | - A Habarakada
- Hampton University, Hampton, Virginia 23669, USA
| | - T Hague
- Kent State University, Kent, Ohio 44240, USA
| | - G Hamad
- Ohio University, Athens, Ohio 45701, USA
| | - D Hamilton
- SUPA School of Physics and Astronomy, University of Glasgow, Glasgow G12 8QQ, United Kingdom
| | - K Hamilton
- SUPA School of Physics and Astronomy, University of Glasgow, Glasgow G12 8QQ, United Kingdom
| | - O Hansen
- Thomas Jefferson National Accelerator Facility, Newport News, Virginia 23606, USA
| | - F Hauenstein
- Old Dominion University, Norfolk, Virginia 23529, USA
| | - A V Hernandez
- Catholic University of America, Washington, DC 20064, USA
| | - W Henry
- Temple University, Philadelphia, Pennsylvania 19122, USA
| | - D W Higinbotham
- Thomas Jefferson National Accelerator Facility, Newport News, Virginia 23606, USA
| | - T Holmstrom
- Randolph Macon College, Ashland, Virginia 23005, USA
| | - T Horn
- Catholic University of America, Washington, DC 20064, USA
| | - Y Huang
- University of Virginia, Charlottesville, Virginia 232904, USA
| | - G M Huber
- University of Regina, Regina, Saskatchewan S4S 0A2 Canada
| | - C Hyde
- Old Dominion University, Norfolk, Virginia 23529, USA
| | - H Ibrahim
- Cairo University, Cairo, 12613, Egypt
| | - N Israel
- Ohio University, Athens, Ohio 45701, USA
| | - C-M Jen
- Virginia Polytechnic Institute and State University, Blacksburg, Virginia 234061, USA
| | - K Jin
- University of Virginia, Charlottesville, Virginia 232904, USA
| | - M Jones
- Thomas Jefferson National Accelerator Facility, Newport News, Virginia 23606, USA
| | - A Kabir
- Kent State University, Kent, Ohio 44240, USA
| | - B Karki
- Ohio University, Athens, Ohio 45701, USA
| | - C Keppel
- Thomas Jefferson National Accelerator Facility, Newport News, Virginia 23606, USA
| | - V Khachatryan
- Stony Brook, State University of New York, New York 11794, USA
- Cornell University, Ithaca, New York 14853, USA
| | - P M King
- Ohio University, Athens, Ohio 45701, USA
| | - S Li
- University of New Hampshire, Durham, New Hampshire 03824, USA
| | - W Li
- University of Regina, Regina, Saskatchewan S4S 0A2 Canada
| | - H Liu
- Columbia University, New York, New York 10027, USA
| | - J Liu
- University of Virginia, Charlottesville, Virginia 232904, USA
| | - A H Liyanage
- Hampton University, Hampton, Virginia 23669, USA
| | - D Mack
- Thomas Jefferson National Accelerator Facility, Newport News, Virginia 23606, USA
| | - J Magee
- William and Mary, Williamsburg, Virginia 23185, USA
| | - S Malace
- Thomas Jefferson National Accelerator Facility, Newport News, Virginia 23606, USA
| | - J Mammei
- University of Manitoba, Winnipeg, MB R3T 2N2, Canada
| | - P Markowitz
- Florida International University, Miami, Florida 33199, USA
| | - S Mayilyan
- AANL, 2 Alikhanian Brothers Street, 0036 Yerevan, Armenia
| | - E McClellan
- Thomas Jefferson National Accelerator Facility, Newport News, Virginia 23606, USA
| | - F Meddi
- Istituto Nazionale di Fisica Nucleare - Sezione di Roma, P.le Aldo Moro, 2 - 00185 Roma, Italy
| | - D Meekins
- Thomas Jefferson National Accelerator Facility, Newport News, Virginia 23606, USA
| | - K Mesick
- Rutgers University, New Brunswick, New Jersey 08854, USA
| | - R Michaels
- Thomas Jefferson National Accelerator Facility, Newport News, Virginia 23606, USA
| | - A Mkrtchyan
- Catholic University of America, Washington, DC 20064, USA
| | - B Moffit
- Thomas Jefferson National Accelerator Facility, Newport News, Virginia 23606, USA
| | - R Montgomery
- SUPA School of Physics and Astronomy, University of Glasgow, Glasgow G12 8QQ, United Kingdom
| | - L S Myers
- Thomas Jefferson National Accelerator Facility, Newport News, Virginia 23606, USA
| | - P Nadel-Turonski
- Thomas Jefferson National Accelerator Facility, Newport News, Virginia 23606, USA
| | - S J Nazeer
- Hampton University, Hampton, Virginia 23669, USA
| | - V Nelyubin
- University of Virginia, Charlottesville, Virginia 232904, USA
| | - D Nguyen
- University of Virginia, Charlottesville, Virginia 232904, USA
| | - N Nuruzzaman
- Hampton University, Hampton, Virginia 23669, USA
| | - M Nycz
- Kent State University, Kent, Ohio 44240, USA
| | - R F Obrecht
- University of Connecticut, Storrs, Connecticut 06269, USA
| | - K Ohanyan
- AANL, 2 Alikhanian Brothers Street, 0036 Yerevan, Armenia
| | - C Palatchi
- University of Virginia, Charlottesville, Virginia 232904, USA
| | - B Pandey
- Hampton University, Hampton, Virginia 23669, USA
| | - K Park
- Old Dominion University, Norfolk, Virginia 23529, USA
| | - S Park
- Stony Brook, State University of New York, New York 11794, USA
| | - C Peng
- Duke University, Durham, North Carolina 27708, USA
| | - F D Persio
- Istituto Nazionale di Fisica Nucleare - Sezione di Roma, P.le Aldo Moro, 2 - 00185 Roma, Italy
| | - R Pomatsalyuk
- Kharkov Institute of Physics and Technology, Kharkov 61108, Ukraine
| | - E Pooser
- Thomas Jefferson National Accelerator Facility, Newport News, Virginia 23606, USA
| | - A J R Puckett
- University of Connecticut, Storrs, Connecticut 06269, USA
| | - V Punjabi
- Norfolk State University, Norfolk, Virginia 23504, USA
| | - B Quinn
- Carnegie Mellon University, Pittsburgh, Pennsylvania 15213, USA
| | - S Rahman
- University of Manitoba, Winnipeg, MB R3T 2N2, Canada
| | - M N H Rashad
- Old Dominion University, Norfolk, Virginia 23529, USA
| | - P E Reimer
- Argonne National Laboratory, Lemont, Illinois 60439, USA
| | - S Riordan
- Stony Brook, State University of New York, New York 11794, USA
| | - J Roche
- Ohio University, Athens, Ohio 45701, USA
| | - I Sapkota
- Catholic University of America, Washington, DC 20064, USA
| | - A Sarty
- Saint Mary's University, Halifax, Nova Scotia B3H 3C3, Canada
| | - B Sawatzky
- Thomas Jefferson National Accelerator Facility, Newport News, Virginia 23606, USA
| | - N H Saylor
- Rensselaer Polytechnic Institute, Troy, New York 12180, USA
| | - M H Shabestari
- Mississippi State University, Mississippi State, Mississippi 39762, USA
| | - A Shahinyan
- AANL, 2 Alikhanian Brothers Street, 0036 Yerevan, Armenia
| | - S Širca
- Faculty of Mathematics and Physics, University of Ljubljana, 1000 Ljubljana, Slovenia
| | - G R Smith
- Thomas Jefferson National Accelerator Facility, Newport News, Virginia 23606, USA
| | | | - N Sparveris
- Temple University, Philadelphia, Pennsylvania 19122, USA
| | - R Spies
- University of Manitoba, Winnipeg, MB R3T 2N2, Canada
| | - A Stefanko
- Carnegie Mellon University, Pittsburgh, Pennsylvania 15213, USA
| | - T Su
- Kent State University, Kent, Ohio 44240, USA
| | - A Subedi
- Mississippi State University, Mississippi State, Mississippi 39762, USA
| | - V Sulkosky
- Massachusetts Institute of Technology, Cambridge, Massachusetts 02139, USA
| | - A Sun
- Carnegie Mellon University, Pittsburgh, Pennsylvania 15213, USA
| | - Y Tan
- Shandong University, Shandong, Jinan 250100, China
| | - L Thorne
- Carnegie Mellon University, Pittsburgh, Pennsylvania 15213, USA
| | - N Ton
- University of Virginia, Charlottesville, Virginia 232904, USA
| | - F Tortorici
- Istituto Nazionale di Fisica Nucleare, Department of Physics and Astronomy, I-95123 Catania, Italy
| | - R Trotta
- Duquesne University, Pittsburgh, Pennsylvania 15282, USA
| | - R Uniyal
- Catholic University of America, Washington, DC 20064, USA
| | - G M Urciuoli
- Istituto Nazionale di Fisica Nucleare - Sezione di Roma, P.le Aldo Moro, 2 - 00185 Roma, Italy
| | - E Voutier
- Institut de Physique Nucleaire, 15 Rue Georges Clemenceau, 91400 Orsay, France
| | - B Waidyawansa
- Thomas Jefferson National Accelerator Facility, Newport News, Virginia 23606, USA
| | - B Wojtsekhowski
- Thomas Jefferson National Accelerator Facility, Newport News, Virginia 23606, USA
| | - S Wood
- Thomas Jefferson National Accelerator Facility, Newport News, Virginia 23606, USA
| | - X Yan
- Huangshan University, 44 Daizhen Road, Tunxi District, Huangshan, Anhui Province, China
| | - L Ye
- Mississippi State University, Mississippi State, Mississippi 39762, USA
| | - Z H Ye
- University of Virginia, Charlottesville, Virginia 232904, USA
- Tsinghua University, 30 Shuangqing Rd, Haidian District, Beijing 100190, China
| | - C Yero
- Florida International University, Miami, Florida 33199, USA
| | - J Zhang
- University of Virginia, Charlottesville, Virginia 232904, USA
| | - Y X Zhao
- Stony Brook, State University of New York, New York 11794, USA
| | - P Zhu
- University of Science and Technology of China, Hefei, Anhui 230026, China
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Cui H, Cao B, Deng H, Liu GB, Liang WQ, Xie TY, Ye L, Zhang QP, Wang N, Liu FD, Wei B. [A nomogram for predicting lymph node metastasis in early gastric cancer]. Zhonghua Wei Chang Wai Ke Za Zhi 2022; 25:40-47. [PMID: 35067033 DOI: 10.3760/cma.j.cn441530-20210208-00059] [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] [Subscribe] [Scholar Register] [Indexed: 06/14/2023]
Abstract
Objective: To explore the independent risk factors of lymph node metastasis (LNM) in early gastric cancer, and to use nomogram to construct a prediction model for above LNM. Methods: A retrospective cohort study was conducted. Inclusion criteria: (1) primary early gastric cancer as stage pT1 confirmed by postoperative pathology; (2) complete clinicopathological data. Exclusion criteria: (1) patients with advanced gastric cancer, stump gastric cancer or history of gastrectomy; (2) early gastric cancer patients confirmed by pathology after neoadjuvant chemotherapy; (3) other types of gastric tumors, such as lymphoma, neuroendocrine tumor, stromal tumor, etc.; (4) primary tumors of other organs with gastric metastasis. According to the above criteria, 1633 patients with early gastric cancer who underwent radical gastrectomy at the Department of General Surgery of the Chinese PLA General Hospital First Medical Center from December 2005 to December 2020 were enrolled as training set, meanwhile 239 patients with early gastric cancer who underwent gastrectomy at the Department of General Surgery of the Chinese PLA General Hospital Fourth Medical Center from December 2015 to December 2020 were enrolled as external validation set. Risk factors of LNM in early gastric cancer were identified by using univariate and multivariate logistic regression analyses. A nomogram prediction model was established with significant factors screened by multivariate analysis. Area under the receiver operating characteristic curve (AUC) was used for assessing the predictive value of the model. Calibration curve was drawn for external validation. Results: Among 1633 patients in training set, the mean number of retrieved lymph nodes was 20 (13-28), and 209 patients (12.8%) had lymph node metastasis. Univariate analysis showed that gender, resection range, tumor location, tumor morphology, lymph node clearance, vascular invasion, lymphatic cancer thrombus, tumor length, tumor differentiation, microscopic presence of signet ring cells and depth of tumor invasion were associated with LNM (all P<0.05). Multivariate analysis revealed that females, tumor morphology as ulcer type, vascular invasion, lymphatic cancer thrombus, tumor length≥3 cm, deeper invasion of mucosa, and poor differentiation were independent risk factors for LNM in early gastric cancers (all P<0.05). Receiver operating characteristic curve indicated that AUC of training set was 0.818 (95%CI: 0.790-0.847) and AUC of external validation set was 0.765 (95%CI: 0.688-0.843). The calibration curve showed that the LNM probability predicted by nomogram was consistent with the actual situation (C-index: 0.818 in training set and 0.765 in external validation set). Conclusions: Females, tumor morphology as ulcer type, vascular invasion, lymphatic cancer thrombus, tumor length≥3 cm, deeper invasion of mucosa and poor differentiation are independent risk factors for LNM of early gastric cancer. The establishment of a nomogram prediction model for LNM in early gastric cancer has great diagnostic value and can provide reference for treatment selection.
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Affiliation(s)
- H Cui
- Department of General Surgery & Instituteof General Surgery, Chinese PLA General Hospital First Medical Center, Beijing 100853, China School of Medicine, Nankai University, Tianjin 300071, China
| | - B Cao
- Department of General Surgery & Instituteof General Surgery, Chinese PLA General Hospital First Medical Center, Beijing 100853, China
| | - H Deng
- Department of General Surgery & Instituteof General Surgery, Chinese PLA General Hospital First Medical Center, Beijing 100853, China
| | - G B Liu
- Department of General Surgery & Instituteof General Surgery, Chinese PLA General Hospital First Medical Center, Beijing 100853, China School of Medicine, Nankai University, Tianjin 300071, China
| | - W Q Liang
- Department of General Surgery & Instituteof General Surgery, Chinese PLA General Hospital First Medical Center, Beijing 100853, China
| | - T Y Xie
- Department of General Surgery & Instituteof General Surgery, Chinese PLA General Hospital First Medical Center, Beijing 100853, China School of Medicine, Nankai University, Tianjin 300071, China
| | - L Ye
- Department of General Surgery & Instituteof General Surgery, Chinese PLA General Hospital First Medical Center, Beijing 100853, China School of Medicine, Nankai University, Tianjin 300071, China
| | - Q P Zhang
- Department of General Surgery & Instituteof General Surgery, Chinese PLA General Hospital First Medical Center, Beijing 100853, China
| | - N Wang
- Department of General Surgery & Instituteof General Surgery, Chinese PLA General Hospital First Medical Center, Beijing 100853, China
| | - F D Liu
- Departmentof General Surgery, Chinese PLA General Hospital Fourth Medical Center, Beijing 100048, China
| | - B Wei
- Department of General Surgery & Instituteof General Surgery, Chinese PLA General Hospital First Medical Center, Beijing 100853, China
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44
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Shen L, Wang D, Huang Y, Ye L, Zhu C, Zhang S, Cai S, Wang Z, Chen H. Longitudinal trends in lipid profiles during pregnancy: Association with gestational diabetes mellitus and longitudinal trends in insulin indices. Front Endocrinol (Lausanne) 2022; 13:1080633. [PMID: 36714591 PMCID: PMC9880552 DOI: 10.3389/fendo.2022.1080633] [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] [Figures] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 10/26/2022] [Accepted: 12/28/2022] [Indexed: 01/15/2023] Open
Abstract
OBJECTIVE To investigate the correlation of trends in lipid profiles from first to second trimester with trends in insulin indices and gestational diabetes mellitus (GDM). METHODS Secondary analysis of an ongoing prospective cohort study was conducted on 1234 pregnant women in a single center. Lipid profiles, glucose metabolism and insulin indices were collected in the first and second trimesters. Trends in lipid profiles were divided into four subgroups: low-to-low, high-to-high, high-to-low and low-to-high group. Insulin indices including homeostasis model assessment of insulin resistance and quantitative insulin sensitivity check index were calculated to evaluate insulin resistance (IR). Trends in insulin indices were described as: no IR, persistent IR, first-trimester IR alone and second-trimester IR alone. Pearson correlation analysis and multivariate logistic regression were performed to assess the associations of lipid profiles subgroups with insulin indices and GDM. RESULTS First- and second-trimester total cholesterol (TC), triglycerides (TG) and high-density lipoprotein cholesterol were strongly correlated to first- and second-trimester insulin indices. Only TG had a sustained correlation with glucose metabolism indices. High-to-high low-density lipoprotein cholesterol (LDL-c) was an independent risk factor for GDM. High-to-high TG and high-to-low TG groups were independent risk factors for persistent IR. High-to-high TG and low-to-high TG groups were independent risk factors for second-trimester IR alone. CONCLUSION TG has a sustained correlation with insulin indices and glucose metabolism indices. Persistently high TG is an independent risk factor for persistent IR and second-trimester IR alone. Regardless of whether pregnant women have first-trimester IR, lower TG levels help reduce the risk for persistent IR or subsequent development of IR. These results highlight the benefit of lowering TG levels in early and middle pregnancy to prevent the development of IR.
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Affiliation(s)
| | | | | | | | | | | | | | - Zilian Wang
- *Correspondence: Haitian Chen, ; Zilian Wang,
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45
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Du Z, Su H, Wang W, Ye L, Wei H, Peng Z, Anishchenko I, Baker D, Yang J. The trRosetta server for fast and accurate protein structure prediction. Nat Protoc 2021; 16:5634-5651. [PMID: 34759384 DOI: 10.1038/s41596-021-00628-9] [Citation(s) in RCA: 204] [Impact Index Per Article: 68.0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 01/19/2021] [Accepted: 08/31/2021] [Indexed: 11/10/2022]
Abstract
The trRosetta (transform-restrained Rosetta) server is a web-based platform for fast and accurate protein structure prediction, powered by deep learning and Rosetta. With the input of a protein's amino acid sequence, a deep neural network is first used to predict the inter-residue geometries, including distance and orientations. The predicted geometries are then transformed as restraints to guide the structure prediction on the basis of direct energy minimization, which is implemented under the framework of Rosetta. The trRosetta server distinguishes itself from other similar structure prediction servers in terms of rapid and accurate de novo structure prediction. As an illustration, trRosetta was applied to two Pfam families with unknown structures, for which the predicted de novo models were estimated to have high accuracy. Nevertheless, to take advantage of homology modeling, homologous templates are used as additional inputs to the network automatically. In general, it takes ~1 h to predict the final structure for a typical protein with ~300 amino acids, using a maximum of 10 CPU cores in parallel in our cluster system. To enable large-scale structure modeling, a downloadable package of trRosetta with open-source codes is available as well. A detailed guidance for using the package is also available in this protocol. The server and the package are available at https://yanglab.nankai.edu.cn/trRosetta/ and https://yanglab.nankai.edu.cn/trRosetta/download/ , respectively.
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Affiliation(s)
- Zongyang Du
- School of Mathematical Sciences, Nankai University, Tianjin, China
| | - Hong Su
- School of Mathematical Sciences, Nankai University, Tianjin, China
| | - Wenkai Wang
- School of Mathematical Sciences, Nankai University, Tianjin, China
| | - Lisha Ye
- School of Mathematical Sciences, Nankai University, Tianjin, China
| | - Hong Wei
- School of Mathematical Sciences, Nankai University, Tianjin, China
| | - Zhenling Peng
- Research Center for Mathematics and Interdisciplinary Sciences, Shandong University, Qingdao, China
| | - Ivan Anishchenko
- Department of Biochemistry, University of Washington, Seattle, WA, USA.,Institute for Protein Design, University of Washington, Seattle, WA, USA
| | - David Baker
- Department of Biochemistry, University of Washington, Seattle, WA, USA.,Institute for Protein Design, University of Washington, Seattle, WA, USA.,Howard Hughes Medical Institute, University of Washington, Seattle, WA, USA
| | - Jianyi Yang
- Research Center for Mathematics and Interdisciplinary Sciences, Shandong University, Qingdao, China.
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46
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Qing AL, Lei XH, Chen L, Sun FG, Weng Y, Li CY, Ye L, Wen CB. [Effects of different doses of glucocorticoids on minimally invasive procedures in pain patients with type 2 diabetes]. Zhonghua Yi Xue Za Zhi 2021; 101:3554-3558. [PMID: 34808747 DOI: 10.3760/cma.j.cn112137-20210726-01663] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Subscribe] [Scholar Register] [Indexed: 02/05/2023]
Abstract
Objective: To investigate the effects of different doses of glucocorticoids on minimally invasive procedures in patients with type 2 diabetes mellitus (T2DM), and optimize the clinical pathways of minimally invasive procedures. Methods: The clinical data of 284 patients with T2DM who received minially invasive procedures from the Department of Pain Medicine, West China Hospital, Sichuan University from May 2017 to May 2020 were retrospectively reviewed. The patients were divided into two groups according to the main diagnostic types: spine-related group (n=148) and herpes zoster group (n=136). According to the cumulative dose of glucocorticoids (GCs) per unit body surface area during the hospitalization, patients were further divided into three subgroups: low-dose group (GCs<3.5 mg/m2), medium-dose group (3.5 mg/m2 ≤GCs<7 mg/m2), and high-dose group (GCs≥7 mg/m2). The clinical characteristics of the patients in different subgroups of the two diseases groups were compared. The effects of the glucocorticoids on the pain intensity, blood glucose, length of hospital stay (LOS) and total hospitalization cost were compared among the 3 subgroups of the two diseases groups. Results: There were no significant differences in the age, gender, height, weight, visual analog scale (VAS) and fasting blood glucose before procedures between the two groups (all P>0.05). The VAS score of the low-dose group from the spine-related group was 4.5±1.6, which was higher than that of the medium-dose group (3.5±1.3) (P=0.004). VAS score was 4.3±1.3 in the medium-dose group and 4.4±1.6 in the high-dose group from the herpes zoster group, which were higher than that in the low-dose group (3.5±0.9) (P=0.006). In terms of blood glucose, the impact on the fasting blood glucose before and after the procedures in the low-dose group from the spine-related group was less than that in the medium dose group (P=0.013). In the herpes zoster group, the blood glucose of the low-dose group was (11±5) mmol/L, which had less influence on the blood glucose fluctuation during the hospitalization than that in the high-dose group [(15±5) mmol/L] (P<0.05). The LOS and hospitalization cost in the low-dose group from the spine-related group were (9±4) d and (10 583±4 851) yuan, respectively, which were less than those in the medium-dose group [(11±3) d and (15 202±7 418) yuan] and high-dose group [(13±6) d and (18 100±4 138) yuan] (all P<0.05); however, there was no significant difference among different subgroups in the herpes zoster group (all P>0.05). Conclusion: When used in the patients with T2DM undergoing minimally invasive procedures for spine-related diseases, low-dose glucocorticoids can obtain more clinical benefit than high dose, and high dose can lead to raised blood glucose, prolong the LOS, and increase the hospitalization cost.
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Affiliation(s)
- A L Qing
- Department of Pain Medicine,West China Hospital, Sichuan University,Chengdu 610041, China
| | - X H Lei
- West China School of Public Health, Department of Anesthesiology, West China Fourth Hospital,Sichuan University,Chengdu 610041, China
| | - L Chen
- Department of Pain Medicine,West China Hospital, Sichuan University,Chengdu 610041, China
| | - F G Sun
- Department of Pain Medicine,West China Hospital, Sichuan University,Chengdu 610041, China
| | - Y Weng
- Department of Pain Medicine,West China Hospital, Sichuan University,Chengdu 610041, China
| | - C Y Li
- Department of Clinical Research Management,West China Hospital,Sichuan University,Chengdu 610041, China
| | - L Ye
- Department of Pain Medicine,West China Hospital, Sichuan University,Chengdu 610041, China
| | - C B Wen
- Department of Pain Medicine,Sichuan Academy of Medical Sciences & Sichuan Province People's Hospital,Chengdu 610072, China
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47
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Xie H, Cao L, Ye L, Shan G, Song W. The miR-1906 mimic attenuates bone loss in osteoporosis by down-regulating the TLR4/MyD88/NF-κB pathway. Physiol Int 2021; 107:469-478. [PMID: 33410769 DOI: 10.1556/2060.2020.00042] [Citation(s) in RCA: 2] [Impact Index Per Article: 0.7] [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: 03/12/2020] [Accepted: 06/12/2020] [Indexed: 11/19/2022]
Abstract
In this study, the ability of microRNA-1906 (miR-1906) to attenuate bone loss in osteoporosis was evaluated by measuring the effects of a miR-1906 mimic and inhibitor on the cellular toxicity and cell viability of MC3T3-E1 cells. Bone marrow-derived macrophage (BMM) cells were isolated from female mice, and tartrate-resistant acid phosphatase signalling was performed in miR-1906 mimic-treated, receptor-activated nuclear factor kappa-B (NF-κB) ligand (RANKL)-induced osteoclasts. In-vivo, osteoporosis was induced by ovariectomy (OVX). Rats were treated with 500 nmol/kg of the miR-1906 mimic via intrathecal administration for 10 consecutive days following surgery. The effect of the miR-1906 mimic on bone mineral density (BMD) in OVX rats was observed in the whole body, lumbar vertebrae and femur. Levels of biochemical parameters and cytokines in the serum of miR-1906 mimic-treated OVX rats were analysed. The mRNA expression of toll-like receptor 4 (TLR4), myeloid differentiation primary response 88 (MyD88), p-38 and NF-κB in tibias of osteoporotic rats (induced by ovariectomy) was observed using quantitative reverse-transcription polymerase chain reaction. Treatment with the miR-1906 mimic reduced cellular toxicity and enhanced the cell viability of MC3T3-E1 cells. Furthermore, osteoclastogenesis in miR-1906 mimic-treated, RANKL-induced osteoclast cells was reduced, whereas the BMD in the miR-1906 mimic-treated group was higher than in the OVX group of rats. Treatment with the miR-1906 mimic also increased levels of biochemical parameters and cytokines in the serum of ovariectomised rats. Finally, mRNA expression levels of TLR4, MyD88, p-38 and NF-κB were lower in the tibias of miR-1906 mimic-treated rats than in those of OVX rats. In conclusion, the miR-1906 mimic reduces bone loss in rats with ovariectomy-induced osteoporosis by regulating the TLR4/MyD88/NF-κB pathway.
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Affiliation(s)
- H Xie
- Department of Rehabilitation, Xuanwu Hospital, Capital Medical University, Beijing, 100053, China
| | - L Cao
- Department of Rehabilitation, Xuanwu Hospital, Capital Medical University, Beijing, 100053, China
| | - L Ye
- Department of Rehabilitation, Xuanwu Hospital, Capital Medical University, Beijing, 100053, China
| | - G Shan
- Department of Rehabilitation, Xuanwu Hospital, Capital Medical University, Beijing, 100053, China
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48
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Dlamini M, Karki B, Ali SF, Lin PJ, Georges F, Ko HS, Israel N, Rashad MNH, Stefanko A, Adikaram D, Ahmed Z, Albataineh H, Aljawrneh B, Allada K, Allison S, Alsalmi S, Androic D, Aniol K, Annand J, Atac H, Averett T, Ayerbe Gayoso C, Bai X, Bane J, Barcus S, Bartlett K, Bellini V, Beminiwattha R, Bericic J, Biswas D, Brash E, Bulumulla D, Campbell J, Camsonne A, Carmignotto M, Castellano J, Chen C, Chen JP, Chetry T, Christy ME, Cisbani E, Clary B, Cohen E, Compton N, Cornejo JC, Covrig Dusa S, Crowe B, Danagoulian S, Danley T, De Persio F, Deconinck W, Defurne M, Desnault C, Di D, Duer M, Duran B, Ent R, Fanelli C, Franklin G, Fuchey E, Gal C, Gaskell D, Gautam T, Glamazdin O, Gnanvo K, Gray VM, Gu C, Hague T, Hamad G, Hamilton D, Hamilton K, Hansen O, Hauenstein F, Henry W, Higinbotham DW, Holmstrom T, Horn T, Huang Y, Huber GM, Hyde C, Ibrahim H, Jen CM, Jin K, Jones M, Kabir A, Keppel C, Khachatryan V, King PM, Li S, Li W, Liu J, Liu H, Liyanage A, Magee J, Malace S, Mammei J, Markowitz P, McClellan E, Meddi F, Meekins D, Mesik K, Michaels R, Mkrtchyan A, Montgomery R, Muñoz Camacho C, Myers LS, Nadel-Turonski P, Nazeer SJ, Nelyubin V, Nguyen D, Nuruzzaman N, Nycz M, Obretch OF, Ou L, Palatchi C, Pandey B, Park S, Park K, Peng C, Pomatsalyuk R, Pooser E, Puckett AJR, Punjabi V, Quinn B, Rahman S, Reimer PE, Roche J, Sapkota I, Sarty A, Sawatzky B, Saylor NH, Schmookler B, Shabestari MH, Shahinyan A, Sirca S, Smith GR, Sooriyaarachchilage S, Sparveris N, Spies R, Su T, Subedi A, Sulkosky V, Sun A, Thorne L, Tian Y, Ton N, Tortorici F, Trotta R, Urciuoli GM, Voutier E, Waidyawansa B, Wang Y, Wojtsekhowski B, Wood S, Yan X, Ye L, Ye Z, Yero C, Zhang J, Zhao Y, Zhu P. Deep Exclusive Electroproduction of π^{0} at High Q^{2} in the Quark Valence Regime. Phys Rev Lett 2021; 127:152301. [PMID: 34678020 DOI: 10.1103/physrevlett.127.152301] [Citation(s) in RCA: 2] [Impact Index Per Article: 0.7] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Track Full Text] [Subscribe] [Scholar Register] [Received: 12/02/2020] [Revised: 06/07/2021] [Accepted: 08/17/2021] [Indexed: 06/13/2023]
Abstract
We report measurements of the exclusive neutral pion electroproduction cross section off protons at large values of x_{B} (0.36, 0.48, and 0.60) and Q^{2} (3.1 to 8.4 GeV^{2}) obtained from Jefferson Lab Hall A experiment E12-06-014. The corresponding structure functions dσ_{T}/dt+εdσ_{L}/dt, dσ_{TT}/dt, dσ_{LT}/dt, and dσ_{LT^{'}}/dt are extracted as a function of the proton momentum transfer t-t_{min}. The results suggest the amplitude for transversely polarized virtual photons continues to dominate the cross section throughout this kinematic range. The data are well described by calculations based on transversity generalized parton distributions coupled to a helicity flip distribution amplitude of the pion, thus providing a unique way to probe the structure of the nucleon.
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Affiliation(s)
- M Dlamini
- Ohio University, Athens, Ohio 45701, USA
| | - B Karki
- Ohio University, Athens, Ohio 45701, USA
| | - S F Ali
- Catholic University of America, Washington, DC 20064, USA
| | - P-J Lin
- Université Paris-Saclay, CNRS/IN2P3, IJCLab, 91405 Orsay, France
| | - F Georges
- Université Paris-Saclay, CNRS/IN2P3, IJCLab, 91405 Orsay, France
| | - H-S Ko
- Université Paris-Saclay, CNRS/IN2P3, IJCLab, 91405 Orsay, France
- Seoul National University, 1 Gwanak-ro, Gwanak-gu, 08826 Seoul, Korea
| | - N Israel
- Ohio University, Athens, Ohio 45701, USA
| | - M N H Rashad
- Old Dominion University, Norfolk, Virginia 23529, USA
| | - A Stefanko
- Carnegie Mellon University, Pittsburgh, Pennsylvania 15213, USA
| | - D Adikaram
- Thomas Jefferson National Accelerator Facility, Newport News, Virginia 23606, USA
| | - Z Ahmed
- University of Regina, Regina, Saskatchewan S4S 0A2 Canada
| | - H Albataineh
- Texas A&M University-Kingsville, Kingsville, Texas 78363, USA
| | - B Aljawrneh
- North Carolina Ag. and Tech. State University, Greensboro, North Carolina 27411, USA
| | - K Allada
- Massachusetts Institute of Technology, Cambridge, Massachusetts 02139, USA
| | - S Allison
- Old Dominion University, Norfolk, Virginia 23529, USA
| | - S Alsalmi
- Kent State University, Kent, Ohio 44240, USA
| | - D Androic
- University of Zagreb, Trg Republike Hrvatske 14, 10000 Zagreb, Croatia
| | - K Aniol
- California State University, Los Angeles, Los Angeles, California 90032, USA
| | - J Annand
- SUPA School of Physics and Astronomy, University of Glasgow, Glasgow G12 8QQ, United Kingdom
| | - H Atac
- Temple University, Philadelphia, Pennsylvania 19122, USA
| | - T Averett
- The College of William and Mary, Williamsburg, Virginia 23185, USA
| | - C Ayerbe Gayoso
- The College of William and Mary, Williamsburg, Virginia 23185, USA
| | - X Bai
- University of Virginia, Charlottesville, Virginia 22904, USA
| | - J Bane
- University of Tennessee, Knoxville, Tennessee 37996, USA
| | - S Barcus
- The College of William and Mary, Williamsburg, Virginia 23185, USA
| | - K Bartlett
- The College of William and Mary, Williamsburg, Virginia 23185, USA
| | - V Bellini
- Istituto Nazionale di Fisica Nucleare, Dipt. Di Fisica delle Uni. di Catania, I-95123 Catania, Italy
| | | | - J Bericic
- Thomas Jefferson National Accelerator Facility, Newport News, Virginia 23606, USA
| | - D Biswas
- Hampton University, Hampton, Virginia 23669, USA
| | - E Brash
- Christopher Newport University, Newport News, Virginia 23606, USA
| | - D Bulumulla
- Old Dominion University, Norfolk, Virginia 23529, USA
| | - J Campbell
- Dalhousie University, Nova Scotia B3H 4R2, Canada
| | - A Camsonne
- Thomas Jefferson National Accelerator Facility, Newport News, Virginia 23606, USA
| | - M Carmignotto
- Catholic University of America, Washington, DC 20064, USA
| | - J Castellano
- Florida International University, Miami, Florida 33199, USA
| | - C Chen
- Hampton University, Hampton, Virginia 23669, USA
| | - J-P Chen
- Thomas Jefferson National Accelerator Facility, Newport News, Virginia 23606, USA
| | - T Chetry
- Ohio University, Athens, Ohio 45701, USA
| | - M E Christy
- Hampton University, Hampton, Virginia 23669, USA
| | - E Cisbani
- Istituto Nazionale di Fisica Nucleare-Sezione di Roma, P.le Aldo Moro, 2-00185 Roma, Italy
| | - B Clary
- University of Connecticut, Storrs, Connecticut 06269, USA
| | - E Cohen
- Tel Aviv University, Tel Aviv 699780 1, Israel
| | - N Compton
- Ohio University, Athens, Ohio 45701, USA
| | - J C Cornejo
- Carnegie Mellon University, Pittsburgh, Pennsylvania 15213, USA
- The College of William and Mary, Williamsburg, Virginia 23185, USA
| | - S Covrig Dusa
- Thomas Jefferson National Accelerator Facility, Newport News, Virginia 23606, USA
| | - B Crowe
- North Carolina Central University, Durham, North Carolina 27707, USA
| | - S Danagoulian
- North Carolina Ag. and Tech. State University, Greensboro, North Carolina 27411, USA
| | - T Danley
- Ohio University, Athens, Ohio 45701, USA
| | - F De Persio
- Istituto Nazionale di Fisica Nucleare-Sezione di Roma, P.le Aldo Moro, 2-00185 Roma, Italy
| | - W Deconinck
- The College of William and Mary, Williamsburg, Virginia 23185, USA
| | - M Defurne
- CEA Saclay, 91191 Gif-sur-Yvette, France
| | - C Desnault
- Université Paris-Saclay, CNRS/IN2P3, IJCLab, 91405 Orsay, France
| | - D Di
- University of Virginia, Charlottesville, Virginia 22904, USA
| | - M Duer
- Tel Aviv University, Tel Aviv 699780 1, Israel
| | - B Duran
- Temple University, Philadelphia, Pennsylvania 19122, USA
| | - R Ent
- Thomas Jefferson National Accelerator Facility, Newport News, Virginia 23606, USA
| | - C Fanelli
- Massachusetts Institute of Technology, Cambridge, Massachusetts 02139, USA
| | - G Franklin
- Carnegie Mellon University, Pittsburgh, Pennsylvania 15213, USA
| | - E Fuchey
- University of Connecticut, Storrs, Connecticut 06269, USA
| | - C Gal
- University of Virginia, Charlottesville, Virginia 22904, USA
| | - D Gaskell
- Thomas Jefferson National Accelerator Facility, Newport News, Virginia 23606, USA
| | - T Gautam
- Hampton University, Hampton, Virginia 23669, USA
| | - O Glamazdin
- Kharkov Institute of Physics and Technology, Kharkov 61108, Ukraine
| | - K Gnanvo
- University of Virginia, Charlottesville, Virginia 22904, USA
| | - V M Gray
- The College of William and Mary, Williamsburg, Virginia 23185, USA
| | - C Gu
- University of Virginia, Charlottesville, Virginia 22904, USA
| | - T Hague
- Kent State University, Kent, Ohio 44240, USA
| | - G Hamad
- Ohio University, Athens, Ohio 45701, USA
| | - D Hamilton
- SUPA School of Physics and Astronomy, University of Glasgow, Glasgow G12 8QQ, United Kingdom
| | - K Hamilton
- SUPA School of Physics and Astronomy, University of Glasgow, Glasgow G12 8QQ, United Kingdom
| | - O Hansen
- Thomas Jefferson National Accelerator Facility, Newport News, Virginia 23606, USA
| | - F Hauenstein
- Old Dominion University, Norfolk, Virginia 23529, USA
| | - W Henry
- Temple University, Philadelphia, Pennsylvania 19122, USA
| | - D W Higinbotham
- Thomas Jefferson National Accelerator Facility, Newport News, Virginia 23606, USA
| | - T Holmstrom
- Randolph Macon College, Ashlan, Virginia 23005, USA
| | - T Horn
- Catholic University of America, Washington, DC 20064, USA
- Thomas Jefferson National Accelerator Facility, Newport News, Virginia 23606, USA
| | - Y Huang
- University of Virginia, Charlottesville, Virginia 22904, USA
| | - G M Huber
- University of Regina, Regina, Saskatchewan S4S 0A2 Canada
| | - C Hyde
- Old Dominion University, Norfolk, Virginia 23529, USA
| | - H Ibrahim
- Cairo University, Cairo 121613, Egypt
| | - C-M Jen
- Virginia Polytechnic Institute & State University, Blacksburg, Virginia 234061, USA
| | - K Jin
- University of Virginia, Charlottesville, Virginia 22904, USA
| | - M Jones
- Thomas Jefferson National Accelerator Facility, Newport News, Virginia 23606, USA
| | - A Kabir
- Kent State University, Kent, Ohio 44240, USA
| | - C Keppel
- Thomas Jefferson National Accelerator Facility, Newport News, Virginia 23606, USA
| | - V Khachatryan
- Thomas Jefferson National Accelerator Facility, Newport News, Virginia 23606, USA
- Stony Brook, State University of New York, New York 11794, USA
- Cornell University, Ithaca, New York 14853, USA
| | - P M King
- Ohio University, Athens, Ohio 45701, USA
| | - S Li
- University of New Hampshire, Durham, New Hampshire 03824, USA
| | - W Li
- University of Regina, Regina, Saskatchewan S4S 0A2 Canada
| | - J Liu
- University of Virginia, Charlottesville, Virginia 22904, USA
| | - H Liu
- Columbia University, New York, New York 10027, USA
| | - A Liyanage
- Hampton University, Hampton, Virginia 23669, USA
| | - J Magee
- The College of William and Mary, Williamsburg, Virginia 23185, USA
| | - S Malace
- Thomas Jefferson National Accelerator Facility, Newport News, Virginia 23606, USA
| | - J Mammei
- University of Manitoba, Winnipeg, Manitoba R3T 2N2, Canada
| | - P Markowitz
- Florida International University, Miami, Florida 33199, USA
| | - E McClellan
- Thomas Jefferson National Accelerator Facility, Newport News, Virginia 23606, USA
| | - F Meddi
- Istituto Nazionale di Fisica Nucleare-Sezione di Roma, P.le Aldo Moro, 2-00185 Roma, Italy
| | - D Meekins
- Thomas Jefferson National Accelerator Facility, Newport News, Virginia 23606, USA
| | - K Mesik
- Rutgers University, New Brunswick, New Jersey 08854, USA
| | - R Michaels
- Thomas Jefferson National Accelerator Facility, Newport News, Virginia 23606, USA
| | - A Mkrtchyan
- Catholic University of America, Washington, DC 20064, USA
| | - R Montgomery
- SUPA School of Physics and Astronomy, University of Glasgow, Glasgow G12 8QQ, United Kingdom
| | - C Muñoz Camacho
- Université Paris-Saclay, CNRS/IN2P3, IJCLab, 91405 Orsay, France
| | - L S Myers
- Thomas Jefferson National Accelerator Facility, Newport News, Virginia 23606, USA
| | - P Nadel-Turonski
- Thomas Jefferson National Accelerator Facility, Newport News, Virginia 23606, USA
| | - S J Nazeer
- Hampton University, Hampton, Virginia 23669, USA
| | - V Nelyubin
- University of Virginia, Charlottesville, Virginia 22904, USA
| | - D Nguyen
- University of Virginia, Charlottesville, Virginia 22904, USA
| | - N Nuruzzaman
- Hampton University, Hampton, Virginia 23669, USA
| | - M Nycz
- Kent State University, Kent, Ohio 44240, USA
| | - O F Obretch
- University of Connecticut, Storrs, Connecticut 06269, USA
| | - L Ou
- Massachusetts Institute of Technology, Cambridge, Massachusetts 02139, USA
| | - C Palatchi
- University of Virginia, Charlottesville, Virginia 22904, USA
| | - B Pandey
- Hampton University, Hampton, Virginia 23669, USA
| | - S Park
- Stony Brook, State University of New York, New York 11794, USA
| | - K Park
- Old Dominion University, Norfolk, Virginia 23529, USA
| | - C Peng
- Duke University, Durham, North Carolina 27708, USA
| | - R Pomatsalyuk
- Kharkov Institute of Physics and Technology, Kharkov 61108, Ukraine
| | - E Pooser
- Thomas Jefferson National Accelerator Facility, Newport News, Virginia 23606, USA
| | - A J R Puckett
- University of Connecticut, Storrs, Connecticut 06269, USA
| | - V Punjabi
- Norfolk State University, Norfolk, Virginia 23504, USA
| | - B Quinn
- Carnegie Mellon University, Pittsburgh, Pennsylvania 15213, USA
| | - S Rahman
- University of Manitoba, Winnipeg, Manitoba R3T 2N2, Canada
| | - P E Reimer
- Physics Division, Argonne National Laboratory, Lemont, Illinois 60439, USA
| | - J Roche
- Ohio University, Athens, Ohio 45701, USA
| | - I Sapkota
- Catholic University of America, Washington, DC 20064, USA
| | - A Sarty
- Saint Mary's University, Halifax, Nova Scotia B3H 3C3, Canada
| | - B Sawatzky
- Thomas Jefferson National Accelerator Facility, Newport News, Virginia 23606, USA
| | - N H Saylor
- Rensselaer Polytechnic Institute, Troy, New York 12180, USA
| | - B Schmookler
- Massachusetts Institute of Technology, Cambridge, Massachusetts 02139, USA
| | - M H Shabestari
- Mississippi State University, Mississippi State, Mississippi 39762, USA
| | - A Shahinyan
- AANL, 2 Alikhanian Brothers Street, 0036 Yerevan, Armenia
| | - S Sirca
- Faculty of Mathematics and Physics, University of Ljubljana, 1000 Ljubljana, Slovenia
| | - G R Smith
- Thomas Jefferson National Accelerator Facility, Newport News, Virginia 23606, USA
| | | | - N Sparveris
- Temple University, Philadelphia, Pennsylvania 19122, USA
| | - R Spies
- University of Manitoba, Winnipeg, Manitoba R3T 2N2, Canada
| | - T Su
- Kent State University, Kent, Ohio 44240, USA
| | - A Subedi
- Mississippi State University, Mississippi State, Mississippi 39762, USA
| | - V Sulkosky
- Massachusetts Institute of Technology, Cambridge, Massachusetts 02139, USA
| | - A Sun
- Carnegie Mellon University, Pittsburgh, Pennsylvania 15213, USA
| | - L Thorne
- Carnegie Mellon University, Pittsburgh, Pennsylvania 15213, USA
| | - Y Tian
- Shandong University, Jinan, Shandong, 250100, China
| | - N Ton
- University of Virginia, Charlottesville, Virginia 22904, USA
| | - F Tortorici
- Istituto Nazionale di Fisica Nucleare, Dipt. Di Fisica delle Uni. di Catania, I-95123 Catania, Italy
| | - R Trotta
- Duquesne University, 600 Forbes Avenue, Pittsburgh, Pennsylvania 15282, USA
| | - G M Urciuoli
- Istituto Nazionale di Fisica Nucleare-Sezione di Roma, P.le Aldo Moro, 2-00185 Roma, Italy
| | - E Voutier
- Université Paris-Saclay, CNRS/IN2P3, IJCLab, 91405 Orsay, France
| | - B Waidyawansa
- Thomas Jefferson National Accelerator Facility, Newport News, Virginia 23606, USA
| | - Y Wang
- The College of William and Mary, Williamsburg, Virginia 23185, USA
| | - B Wojtsekhowski
- Thomas Jefferson National Accelerator Facility, Newport News, Virginia 23606, USA
| | - S Wood
- Thomas Jefferson National Accelerator Facility, Newport News, Virginia 23606, USA
| | - X Yan
- Huangshan University, Huangshan, Anhui, 245041, China
| | - L Ye
- Mississippi State University, Mississippi State, Mississippi 39762, USA
| | - Z Ye
- University of Virginia, Charlottesville, Virginia 22904, USA
| | - C Yero
- Florida International University, Miami, Florida 33199, USA
| | - J Zhang
- University of Virginia, Charlottesville, Virginia 22904, USA
| | - Y Zhao
- Stony Brook, State University of New York, New York 11794, USA
| | - P Zhu
- University of Science and Technology of China, Hefei, Anhui 230026, China
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Kim S, Buss N, Qiao C, Patel H, Yang L, Elliott K, Qian R, Ye L, Fiscella M, Danos O. DMD – ANIMAL MODELS. Neuromuscul Disord 2021. [DOI: 10.1016/j.nmd.2021.07.115] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/30/2022]
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50
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Ye L, Sun Y, Jiang Z, Wang G. L-Serine, an Endogenous Amino Acid, Is a Potential Neuroprotective Agent for Neurological Disease and Injury. Front Mol Neurosci 2021; 14:726665. [PMID: 34552468 PMCID: PMC8450333 DOI: 10.3389/fnmol.2021.726665] [Citation(s) in RCA: 5] [Impact Index Per Article: 1.7] [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: 06/17/2021] [Accepted: 08/12/2021] [Indexed: 01/02/2023] Open
Abstract
Central nervous system (CNS) lesions are major causes of human death and disability worldwide, and they cause different extents of motor and sensory dysfunction in patients. Thus, it is crucial to develop new effective neuroprotective drugs and approaches targeted to the heterogeneous nature of CNS injury and disease. L-serine is an indispensable neurotrophic factor and a precursor for neurotransmitters. Although L-serine is a native amino acid supplement, its metabolic products have been shown to be essential not only for cell proliferation but also for neuronal development and specific functions in the brain. Growing evidence has suggested that L-serine regulates the release of several cytokines in the brain under some neuropathological conditions to recover cognitive function, improve cerebral blood flow, inhibit inflammation, promote remyelination and exert other neuroprotective effects on neurological injury. L-serine has also been used to treat epilepsy, schizophrenia, psychosis, and Alzheimer’s Disease as well as other neurological diseases. Furthermore, the dosing of animals with L-serine and human clinical trials investigating the therapeutic effects of L-serine generally support the safety of L-serine. The high significance of this review lies in its emphasis on the therapeutic potential of using L-serine as a general treatment for numerous CNS diseases and injuries. Because L-serine performs a broad spectrum of functions, it may be clinically used as an effective neuroprotective agent.
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Affiliation(s)
- Lisha Ye
- Department of Neurophysiology and Neuropharmacology, Institute of Special Environmental Medicine and Co-innovation Center of Neuroregeneration, Nantong University, Nantong, China
| | - Yechao Sun
- Department of Neurophysiology and Neuropharmacology, Institute of Special Environmental Medicine and Co-innovation Center of Neuroregeneration, Nantong University, Nantong, China
| | - Zhenglin Jiang
- Department of Neurophysiology and Neuropharmacology, Institute of Special Environmental Medicine and Co-innovation Center of Neuroregeneration, Nantong University, Nantong, China
| | - Guohua Wang
- Department of Neurophysiology and Neuropharmacology, Institute of Special Environmental Medicine and Co-innovation Center of Neuroregeneration, Nantong University, Nantong, China
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