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Furuhama A, Kitazawa A, Yao J, Matos Dos Santos CE, Rathman J, Yang C, Ribeiro JV, Cross K, Myatt G, Raitano G, Benfenati E, Jeliazkova N, Saiakhov R, Chakravarti S, Foster RS, Bossa C, Battistelli CL, Benigni R, Sawada T, Wasada H, Hashimoto T, Wu M, Barzilay R, Daga PR, Clark RD, Mestres J, Montero A, Gregori-Puigjané E, Petkov P, Ivanova H, Mekenyan O, Matthews S, Guan D, Spicer J, Lui R, Uesawa Y, Kurosaki K, Matsuzaka Y, Sasaki S, Cronin MTD, Belfield SJ, Firman JW, Spînu N, Qiu M, Keca JM, Gini G, Li T, Tong W, Hong H, Liu Z, Igarashi Y, Yamada H, Sugiyama KI, Honma M. Evaluation of QSAR models for predicting mutagenicity: outcome of the Second Ames/QSAR international challenge project. SAR QSAR Environ Res 2023; 34:983-1001. [PMID: 38047445 DOI: 10.1080/1062936x.2023.2284902] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Subscribe] [Scholar Register] [Received: 09/11/2023] [Accepted: 11/13/2023] [Indexed: 12/05/2023]
Abstract
Quantitative structure-activity relationship (QSAR) models are powerful in silico tools for predicting the mutagenicity of unstable compounds, impurities and metabolites that are difficult to examine using the Ames test. Ideally, Ames/QSAR models for regulatory use should demonstrate high sensitivity, low false-negative rate and wide coverage of chemical space. To promote superior model development, the Division of Genetics and Mutagenesis, National Institute of Health Sciences, Japan (DGM/NIHS), conducted the Second Ames/QSAR International Challenge Project (2020-2022) as a successor to the First Project (2014-2017), with 21 teams from 11 countries participating. The DGM/NIHS provided a curated training dataset of approximately 12,000 chemicals and a trial dataset of approximately 1,600 chemicals, and each participating team predicted the Ames mutagenicity of each trial chemical using various Ames/QSAR models. The DGM/NIHS then provided the Ames test results for trial chemicals to assist in model improvement. Although overall model performance on the Second Project was not superior to that on the First, models from the eight teams participating in both projects achieved higher sensitivity than models from teams participating in only the Second Project. Thus, these evaluations have facilitated the development of QSAR models.
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Affiliation(s)
- A Furuhama
- Division of Genetics and Mutagenesis (DGM), National Institute of Health Sciences (NIHS), Kawasaki, Japan
| | - A Kitazawa
- Division of Genetics and Mutagenesis (DGM), National Institute of Health Sciences (NIHS), Kawasaki, Japan
| | - J Yao
- Key Laboratory of Fluorine and Nitrogen Chemistry and Advanced Materials (Chinese Academy of Sciences), Shanghai Institute of Organic Chemistry, Chinese Academy of Sciences (SIOC, CAS), Shanghai, China
| | - C E Matos Dos Santos
- Department of Computational Toxicology and In Silico Innovations, Altox Ltd, São Paulo-SP, Brazil
| | - J Rathman
- MN-AM, Nuremberg, Germany/Columbus, OH, USA
| | - C Yang
- MN-AM, Nuremberg, Germany/Columbus, OH, USA
| | | | - K Cross
- In Silico Department, Instem, Conshohocken, PA, USA
| | - G Myatt
- In Silico Department, Instem, Conshohocken, PA, USA
| | - G Raitano
- Laboratory of Environmental Toxicology and Chemistry, Department of Environmental Health Sciences, Istituto di Ricerche Farmacologiche Mario Negri IRCCS (IRFMN), Milano, Italy
| | - E Benfenati
- Laboratory of Environmental Toxicology and Chemistry, Department of Environmental Health Sciences, Istituto di Ricerche Farmacologiche Mario Negri IRCCS (IRFMN), Milano, Italy
| | | | | | | | | | - C Bossa
- Environment and Health Department, Istituto Superiore di Sanità (ISS), Rome, Italy
| | - C Laura Battistelli
- Environment and Health Department, Istituto Superiore di Sanità (ISS), Rome, Italy
| | - R Benigni
- Environment and Health Department, Istituto Superiore di Sanità (ISS), Rome, Italy
- Alpha-PreTox, Rome, Italy
| | - T Sawada
- Faculty of Regional Studies, Gifu University, Gifu, Japan
- xenoBiotic Inc, Gifu, Japan
| | - H Wasada
- Faculty of Regional Studies, Gifu University, Gifu, Japan
| | - T Hashimoto
- Faculty of Regional Studies, Gifu University, Gifu, Japan
| | - M Wu
- Massachusetts Institute of Technology, Cambridge, MA, USA
| | - R Barzilay
- Massachusetts Institute of Technology, Cambridge, MA, USA
| | - P R Daga
- Simulations Plus, Lancaster, CA, USA
| | - R D Clark
- Simulations Plus, Lancaster, CA, USA
| | | | | | | | - P Petkov
- LMC - Bourgas University, Bourgas, Bulgaria
| | - H Ivanova
- LMC - Bourgas University, Bourgas, Bulgaria
| | - O Mekenyan
- LMC - Bourgas University, Bourgas, Bulgaria
| | - S Matthews
- Computational Pharmacology & Toxicology Laboratory, Discipline of Pharmacology, School of Pharmacy, Faculty of Medicine and Health, The University of Sydney, Sydney, Australia
| | - D Guan
- Computational Pharmacology & Toxicology Laboratory, Discipline of Pharmacology, School of Pharmacy, Faculty of Medicine and Health, The University of Sydney, Sydney, Australia
| | - J Spicer
- Computational Pharmacology & Toxicology Laboratory, Discipline of Pharmacology, School of Pharmacy, Faculty of Medicine and Health, The University of Sydney, Sydney, Australia
| | - R Lui
- Computational Pharmacology & Toxicology Laboratory, Discipline of Pharmacology, School of Pharmacy, Faculty of Medicine and Health, The University of Sydney, Sydney, Australia
| | - Y Uesawa
- Department of Medical Molecular Informatics, Meiji Pharmaceutical University, Tokyo, Japan
| | - K Kurosaki
- Department of Medical Molecular Informatics, Meiji Pharmaceutical University, Tokyo, Japan
| | - Y Matsuzaka
- Department of Medical Molecular Informatics, Meiji Pharmaceutical University, Tokyo, Japan
| | - S Sasaki
- Department of Medical Molecular Informatics, Meiji Pharmaceutical University, Tokyo, Japan
| | - M T D Cronin
- School of Pharmacy and Biomolecular Sciences, Liverpool John Moores University, Liverpool, UK
| | - S J Belfield
- School of Pharmacy and Biomolecular Sciences, Liverpool John Moores University, Liverpool, UK
| | - J W Firman
- School of Pharmacy and Biomolecular Sciences, Liverpool John Moores University, Liverpool, UK
| | - N Spînu
- School of Pharmacy and Biomolecular Sciences, Liverpool John Moores University, Liverpool, UK
| | - M Qiu
- Evergreen AI, Inc, Toronto, Canada
| | - J M Keca
- Evergreen AI, Inc, Toronto, Canada
| | - G Gini
- Department of Electronics, Information and Bioengineering (DEIB), Politecnico di Milano, Milano, Italy
| | - T Li
- Division of Bioinformatics and Biostatistics, National Center for Toxicological Research, U.S. Food and Drug Administration (NCTR/FDA), Jefferson, AR, USA
| | - W Tong
- Division of Bioinformatics and Biostatistics, National Center for Toxicological Research, U.S. Food and Drug Administration (NCTR/FDA), Jefferson, AR, USA
| | - H Hong
- Division of Bioinformatics and Biostatistics, National Center for Toxicological Research, U.S. Food and Drug Administration (NCTR/FDA), Jefferson, AR, USA
| | - Z Liu
- Division of Bioinformatics and Biostatistics, National Center for Toxicological Research, U.S. Food and Drug Administration (NCTR/FDA), Jefferson, AR, USA
- Integrative Toxicology, Nonclinical Drug Safety, Boehringer Ingelheim Pharmaceuticals, Inc, Ridgefield, CT, USA
| | - Y Igarashi
- Artificial Intelligence Center for Health and Biomedical Research, National Institutes of Biomedical Innovation, Health and Nutrition (NIBIOHN), Osaka, Japan
| | - H Yamada
- Artificial Intelligence Center for Health and Biomedical Research, National Institutes of Biomedical Innovation, Health and Nutrition (NIBIOHN), Osaka, Japan
| | - K-I Sugiyama
- Division of Genetics and Mutagenesis (DGM), National Institute of Health Sciences (NIHS), Kawasaki, Japan
| | - M Honma
- Division of Genetics and Mutagenesis (DGM), National Institute of Health Sciences (NIHS), Kawasaki, Japan
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Xue J, Shi R, Ma J, Liu Z, Feng G, Chen QQ, Li Y, He Y, Ji S, Shi J, Zhu X, Zhou J. Concurrent Chemoradiotherapy plus Programmed Death-1 (PD-1) Blockade for Locally Advanced Cervical Cancer: Preliminary Results of a Single-Arm, Open-Label, Phase II Trial. Int J Radiat Oncol Biol Phys 2023; 117:e542-e543. [PMID: 37785675 DOI: 10.1016/j.ijrobp.2023.06.1838] [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) This study aims to assess the anti-tumor activity and safety of concurrent chemoradiotherapy plus PD-1 blockade in patients with locally advanced cervical cancer. MATERIALS/METHODS This is a single-arm, open-label, prospective phase II study. The key inclusion criteria were treatment-naive patients aged 18-75 years with stage II A2-IVA (FIGO 2018) locally advanced cervical cancer. All patients were treated with concurrent chemoradiotherapy including 2 cycle cisplatin (75mg/m2, for three days, every 3 weeks[Q3W]), nedaplatin or carboplatin can be selected for patients who can't tolerate cisplatin. After CCRT, patients achieving complete response (CR), partial responses(PR), stable disease(SD) received adjuvant chemotherapy (docetaxel 75 mg/m2 day 1+ cisplatin DDP 25 mg/m2 day 1-3, Q3W) for 2 cycle. PD-1 blockade Sintilimab and Tislelizumab was administered intravenously at 200 mg every 3 weeks up to 1 year or until disease progression, unacceptable toxicity, or withdrawal of consent. The primary endpoint was objective response rate (ORR) assessed by investigators per Response Evaluation Criteria In Solid Tumours (RECIST) version 1.1. Secondary endpoints were the 12, 24-month overall survival (OS) rates, the 12, 24-month disease free survival (DFS) rates and safety. RESULTS From February 2020 to June 2022, a total of 15 patients was enrolled. Median age was 57 years (range, 36-74 years). Stage IIA1 was documented in 2 patients, stage IIA2 in two patients, stage IIIA in one patient, stage IIIC1 in eight patients, and stage IVA in two patients. And 66.7% (10/15) of patients had Metastatic lymph node. Four patients received adjuvant chemotherapy. The ORR was 100%, with 4 patients achieving CR and 11 PR. The 12 and 24-month OS rates are 93.3% and 84%, the 12 and 24-month DFS rates are 86% and 75.4%, respectively. Treatment-related adverse events (TRAEs) occurred in 86.7% (13/15) of patients. Grade 3 TRAEs are leukocyte (n = 1), thrombocytopenia (n = 1), hepatitis (n = 1), skin reaction (n = 1). No treatment-related deaths occurred. And IFN-γ was significantly elevated after radiotherapy (p = 0.0073). CONCLUSION Concurrent chemoradiotherapy plus PD-1 blockade showed promising antitumor activity and manageable toxicities in patients with locally advanced cervical cancer. Long-term outcomes are still pending to further evaluate their therapeutic effects. (ChiCTR2000032856).
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Affiliation(s)
- J Xue
- Department of Radiation Oncology, The Affiliated Suzhou Hospital of Nanjing Medical University, Suzhou, 215001, China., Suzhou, China
| | - R Shi
- Department of Radiation Oncology, The Affiliated Suzhou Hospital of Nanjing Medical University, Suzhou, 215001, China., Suzhou, China
| | - J Ma
- The Affiliated Suzhou Hospital of Nanjing Medical University, Suzhou, China
| | - Z Liu
- Department of Radiation Oncology, The Affiliated Suzhou Hospital of Nanjing Medical University, Suzhou, 215001, China., Suzhou, China
| | - G Feng
- Department of Gynecology, The Affiliated Suzhou Hospital of Nanjing Medical University, Suzhou, 215001, China., Suzhou, China
| | - Q Q Chen
- Department of Radiation Oncology, The Affiliated Suzhou Hospital of Nanjing Medical University, Suzhou, China
| | - Y Li
- Department of Radiation Oncology, The Affiliated Suzhou Hospital of Nanjing Medical University, Suzhou, 215001, China., Suzhou, China
| | - Y He
- Department of Radiation Oncology, The Affiliated Suzhou Hospital of Nanjing Medical University, Suzhou, 215001, China., Suzhou, China
| | - S Ji
- Department of Radiation Oncology, The Affiliated Suzhou Hospital of Nanjing Medical University, Suzhou, China
| | - J Shi
- Department of Radiation Oncology, The Affiliated Suzhou Hospital of Nanjing Medical University, Suzhou, 215001, China., Suzhou, China
| | - X Zhu
- Department of Radiation Oncology, The Affiliated Suzhou Hospital of Nanjing Medical University, Suzhou, 215001, China., Suzhou, China
| | - J Zhou
- Department of Radiotherapy Oncology, The Affiliated Suzhou Hospital of Nanjing Medical University, Suzhou, China
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Li S, Zhu X, Song M, Xiang Y, Zhang Y, Wang HZ, Geng J, Liu Z, Teng H, Cai Y, Li Y, Wang W. Outcomes and Failure Patterns after Chemoradiotherapy for Locally Advanced Rectal Cancer with Positive Lateral Pelvic Lymph Nodes: A Propensity Score-Matched Analysis. Int J Radiat Oncol Biol Phys 2023; 117:e314. [PMID: 37785131 DOI: 10.1016/j.ijrobp.2023.06.2345] [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) Locally advanced rectal cancer (LARC) combined with positive lateral pelvic lymph nodes (LPLN) tends to present worse prognosis. However, for those patients it remains unclear whether other combination high-risk factors affect the prognosis. This study aimed to use propensity score matching (PSM) to examine long-term outcomes and failure patterns in patients with positive vs. negative LPLN. MATERIALS/METHODS Patients with LARC were retrospectively divided into LPLN-positive and LPLN-negative groups. LPLN-positivity was defined as lymph node short diameter greater than or equal to 7 mm with specific morphological features. Clinical characteristics were compared between the groups using the chi-square test. PSM was applied to balance these differences. Progression-free survival (PFS) and overall survival (OS), and local-regional recurrence (LRR) and distant metastasis (DM) rates were compared between the groups using the Kaplan-Meier method and log-rank tests. RESULTS Prior to PSM, a total of 651 LARC patients were included. The LPLN-positive group had higher rates of lower location (53.1% vs. 43.0%, P = 0.025), mesorectal fascia (MRF)-positive (53.9% vs. 35.4%, P<0.001) and extramural venous invasion (EMVI)-positive (51.2% vs. 27.2%, P<0.001) disease than the LPLN-negative group. After PSM, there were 114 patients for each group along with the balanced clinical factors, and both groups had comparable surgery, pathologic complete response (pCR), and ypN stage rates. The median follow-up time was 45.9 months, 3-year OS (88.3% vs. 92.1%, P = 0.276) and LRR (5.7% vs. 2.8%, P = 0.172) rates were comparable between LPLN-positive and LPLN-negative groups. Meanwhile, despite no statistical difference, 3-year PFS (78.8% vs. 85.9%, P = 0.065) and DM (20.4% vs. 13.3%, P = 0.061) rates slightly differed between the groups. Among 10 patients with LRR, seven (70.0%) had lateral pelvic recurrence, among them, five patients were LPLN-positive, and four (80.0%) of these patients did not receive simultaneous integrated boost intensity-modulated radiotherapy (SIB- IMRT).45 patients were diagnosed with DM, 11 (40.7%) LPLN-positive and 3 (17.6%) LPLN-negative patients were diagnosed with oligometastases (P = 0.109). CONCLUSION Our study shows there is a tendency of worse PFS and DM in LPLN-positive than LPLN-negative patients, for LPLN-positive patients, oligometastases account for a large proportion of all distant metastases.
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Affiliation(s)
- S Li
- Key Laboratory of Carcinogenesis and Translational Research (Ministry of Education/Beijing), Department of Radiation Oncology, Peking University Cancer Hospital and Institute, Beijing, China
| | - X Zhu
- Key Laboratory of Carcinogenesis and Translational Research (Ministry of Education/Beijing), Department of Radiation Oncology, Peking University Cancer Hospital and Institute, Beijing, China
| | - M Song
- Key Laboratory of Carcinogenesis and Translational Research (Ministry of Education/Beijing), Department of Radiation Oncology, Peking University Cancer Hospital and Institute, Beijing, China
| | - Y Xiang
- Key Laboratory of Carcinogenesis and Translational Research (Ministry of Education/Beijing), Department of Radiation Oncology, Peking University Cancer Hospital and Institute, Beijing, China
| | - Y Zhang
- Key Laboratory of Carcinogenesis and Translational Research (Ministry of Education/Beijing), Department of Radiation Oncology, Peking University Cancer Hospital and Institute, Beijing, China
| | - H Z Wang
- Key Laboratory of Carcinogenesis and Translational Research (Ministry of Education/Beijing), Department of Radiation Oncology, Peking University Cancer Hospital and Institute, Beijing, China
| | - J Geng
- Key Laboratory of Carcinogenesis and Translational Research (Ministry of Education/Beijing), Department of Radiation Oncology, Peking University Cancer Hospital and Institute, Beijing, China
| | - Z Liu
- Key Laboratory of Carcinogenesis and Translational Research (Ministry of Education/Beijing), Department of Radiation Oncology, Peking University Cancer Hospital and Institute, Beijing, China
| | - H Teng
- Key Laboratory of Carcinogenesis and Translational Research (Ministry of Education/Beijing), Department of Radiation Oncology, Peking University Cancer Hospital and Institute, Beijing, China
| | - Y Cai
- Key Laboratory of Carcinogenesis and Translational Research (Ministry of Education/Beijing), Department of Radiation Oncology, Peking University Cancer Hospital and Institute, Beijing, China
| | - Y Li
- Key Laboratory of Carcinogenesis and Translational Research (Ministry of Education/Beijing), Department of Radiation Oncology, Peking University Cancer Hospital and Institute, Beijing, China
| | - W Wang
- Key Laboratory of Carcinogenesis and Translational Research (Ministry of Education/Beijing), Department of Radiation Oncology, Peking University Cancer Hospital and Institute, Beijing, China
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Wang SX, Yang Y, Xie H, Yang X, Liu Z, Li H, Huang W, Luo WJ, Lei Y, Sun Y, Ma J, Chen Y, Liu LZ, Mao YP. Delta-Radiomics Guides Adaptive De-Intensification after Induction Chemotherapy in Locoregionally Advanced Nasopharyngeal Carcinoma in the IMRT Era. Int J Radiat Oncol Biol Phys 2023; 117:S152-S153. [PMID: 37784386 DOI: 10.1016/j.ijrobp.2023.06.574] [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) In the setting of intensity-modulated radiotherapy (IMRT) and induction chemotherapy (IC), the benefits from concurrent chemotherapy remained controversial for locoregionally advanced nasopharyngeal carcinoma (LANPC). This study aimed to construct a delta-radiomics model for benefit prediction and patient selection for omitting concurrent chemotherapy. MATERIALS/METHODS Between December 2009 and December 2015, a total of 718 patients with LANPC treated with IC+IMRT or IC+concurrent chemoradiotherapy (CCRT) were retrospectively enrolled and randomly assigned to a training set (n = 503) and a validation set (n = 215). Radiomic features were extracted from magnetic resonance images of pre-IC and post-IC. Interclass correlation coefficients and Pearson correlation coefficients were calculated to select robust radiomic features. After univariate Cox analysis, a delta-radiomics signature was built using the LASSO-Cox regression. A nomogram incorporating the delta-radiomics signature and clinical prognostic factors was then developed and evaluated for calibration and discrimination. Risk stratification by the nomogram was evaluated by Kaplan-Meier methods. The primary outcome was overall survival (OS). RESULTS The delta-radiomics signature, which comprised 19 selected features, was independently associated with prognosis. It yielded an area under the receiver operating characteristic curve (AUC) of 0.77 (95% confidence interval [CI] 0.71 to 0.82) for the training set and 0.71 (95% CI 0.61 to 0.81) for the validation set. The nomogram composed of the delta-radiomic signature, age, T category, N category, pre-treatment Epstein-Barr virus DNA, and treatment showed great calibration and discrimination performance with an AUC of 0.80 (95% CI 0.75 to 0.85) for the training set and 0.75 (95% CI 0.64 to 0.85) for the validation set. Risk stratification by the nomogram excluding the treatment variable resulted in two risk groups with distinct OS. Significant better outcomes were observed in the high-risk patients with IC+CCRT compared to those with IC+IMRT (5-year OS: 73.8% vs. 61.4% in the training set and 85.8% vs. 65.6% in the validation set; all log-rank p < 0.05), while comparable outcomes between IC+CCRT and IC+IMRT were shown for the low-risk patients (95.8% vs. 95.8% in the training set and 92.2% vs. 88.3% in the validation set; all log-rank p > 0.05). CONCLUSION The delta-radiomics signature was identified as an independent indicator of LANPC. Integrating clinical predictors with the delta-radiomics signature, the radiomics-based nomogram could predict individual's survival outcomes and benefits from concurrent chemotherapy after IC for LANPC. Low-risk patients with LANPC determined by the nomogram may be potential candidates for omission of concurrent chemotherapy following IC in the IMRT era.
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Affiliation(s)
- S X Wang
- Department of Radiation Oncology, Sun Yat-sen University Cancer Center, State Key Laboratory of Oncology in South China, Collaborative Innovation Center for Cancer Medicine, Guangzhou, China
| | - Y Yang
- Department of Radiation Oncology, Sun Yat-sen University Cancer Center, State Key Laboratory of Oncology in South China, Collaborative Innovation Center for Cancer Medicine, Guangzhou, China
| | - H Xie
- Imaging Diagnosis and Interventional Center, Sun Yat-sen University Cancer Center, Guangzhou, China
| | - X Yang
- Sun Yat-sen University Cancer Center; State Key Laboratory of Oncology in South China; Collaborative Innovation Center for Cancer Medicine; Guangdong Key Laboratory of Nasopharyngeal Carcinoma Diagnosis and Therapy, Guangzhou, Guangdong, 510060, Guangzhou, China
| | - Z Liu
- Department of Radiation Oncology, Sun Yat-sen University Cancer Center, State Key Laboratory of Oncology in South China, Collaborative Innovation Center for Cancer Medicine, Guangzhou, China
| | - H Li
- Imaging Diagnosis and Interventional Center, Sun Yat-sen University Cancer Center, Guangzhou, China
| | - W Huang
- Imaging Diagnosis and Interventional Center, Sun Yat-sen University Cancer Center, Guangzhou, China
| | - W J Luo
- Department of Medical Oncology, The Seventh Affiliated Hospital of Sun Yat-sen University, Shenzhen, China
| | - Y Lei
- Department of Radiation Oncology, Sun Yat-sen University Cancer Center, State Key Laboratory of Oncology in South China, Collaborative Innovation Center for Cancer Medicine, Guangzhou, China
| | - Y Sun
- State Key Laboratory of Oncology in South China, Collaborative Innovation Center of Cancer Medicine, Sun Yat-sen University Cancer Center, Guangzhou, China
| | - J Ma
- Department of Radiation Oncology, Sun Yat-sen University Cancer Center, State Key Laboratory of Oncology in South China, Collaborative Innovation Center for Cancer Medicine, Guangzhou, China
| | - Y Chen
- Department of head and neck surgery, Sun Yat-sen University Cancer Center, Guangzhou, China
| | - L Z Liu
- Imaging Diagnosis and Interventional Center, Sun Yat-sen University Cancer Center, Guangzhou, China
| | - Y P Mao
- Department of Radiation Oncology, Sun Yat-sen University Cancer Center, State Key Laboratory of Oncology in South China, Collaborative Innovation Center for Cancer Medicine, Guangzhou, China
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Miller JA, Liu Z, Pinsky B, Le QT, Li T, Cao S, Hildesheim A. Local Cost-Effectiveness of Nasopharyngeal Carcinoma Screening Strategies in Southern China: Secondary Analysis of the PRO-NPC-001 Cluster-Randomized Trial. Int J Radiat Oncol Biol Phys 2023; 117:S70. [PMID: 37784557 DOI: 10.1016/j.ijrobp.2023.06.376] [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) Population-based screening for endemic nasopharyngeal carcinoma (NPC) detects most cases at an early stage. In a cluster-randomized trial conducted in Guangdong, a combination of Epstein-Barr Virus (EBV) anti-VCA/EBNA1 IgA serology and endoscopy reduced NPC mortality. We conducted a secondary analysis of this trial in conjunction with local incidence and cost data, hypothesizing that screening would be cost-effective in this region. MATERIALS/METHODS We estimated population-level NPC mortality reduction, resource utilization, and cost-effectiveness of 12 unique screening strategies in six populations in Guangdong/Guangxi using a previously-validated time-inhomogeneous decision-analytic cohort model. These 12 strategies evaluated combinations of serology, nasopharyngeal swab PCR (NP PCR), endoscopy, and head/neck MRI. Incidence data, screening costs, and healthcare costs were obtained from local cancer registries, laboratories conducting ELISA/PCR, and the Guangdong provincial healthcare system. We evaluated variable screening ages, sexes, intervals, and durations to identify optimal screening approaches from the perspective of the healthcare system in southern China. An incremental cost-effectiveness ratio (ICER) willingness-to-pay threshold of 1.50 times the per-capita GDP was considered cost-effective in southern China. RESULTS For the base strategy screening 50-year-old men and women using only serology and endoscopy, the average cost per screened subject for a single round of screening over a five-year cycle was ¥175.69. The addition of MRI improved sensitivity (76% vs. 62%) and approximately doubled screening costs. Triage with NP PCR was cost-neutral when used in conjunction with MRI and reduced endoscopy/MRI utilization by 37% with a 3-4% reduction in screening sensitivity. Among 50-year-old men and women, screening was cost-effective in all populations provided that medium-risk subjects were not referred for endoscopy/MRI (ICER/GDP 0.62-0.83). The use of NP PCR without MRI (ICER/GDP 0.83) was dominated by the base strategy (ICER/GDP 0.62) due to higher costs and NPC mortality. After a single five-year screening cycle, screening reduced population NPC mortality by 14% with serology + endoscopy and 21% with serology + endoscopy + MRI. Introduction of MRI with or without NP PCR could be cost-effective in all populations. For MRI-based strategies, the most efficient use of resources was deferral of endoscopy unless MRI was abnormal (ICER/GDP 0.67). Overall, the best-performing strategies balanced NPC mortality, screening costs, and MRI utilization. CONCLUSION EBV serology-based screening for endemic NPC is likely to be cost-effective among adult men and women in Guangdong and Guangxi. Referring medium-risk subjects for endoscopy/MRI should be avoided, and NP PCR should be used to triage individuals for MRI rather than endoscopy. These data may aid the design of population-based screening programs in this region.
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Affiliation(s)
- J A Miller
- Department of Radiation Oncology, Cleveland Clinic, Cleveland, OH
| | - Z Liu
- Infections and Immunoepidemiology Branch, Division of Cancer Epidemiology and Genetics, National Cancer Institute, Bethesda, MD
| | - B Pinsky
- Department of Pathology, Stanford University, Stanford, CA
| | | | - T Li
- Department of Cancer Prevention, Sun Yat-sen University Cancer Center, Guangzhou, Guangdong, China
| | - S Cao
- State Key Laboratory of Oncology in South China, Guangdong Key Laboratory of Nasopharyngeal Carcinoma Diagnosis and Therapy, Sun Yat-sen University Cancer Center, Guangzhou, Guangdong, China
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Wang HZ, Zheng X, Sun J, Zhu X, Dong D, Du Y, Feng Z, Gong J, Wu H, Geng J, Li S, Song M, Zhang Y, Liu Z, Cai Y, Li Y, Wang W. 4D-MRI Guided Stereotactic Body Radiation Therapy for Unresectable Colorectal Liver Metastases. Int J Radiat Oncol Biol Phys 2023; 117:e359. [PMID: 37785235 DOI: 10.1016/j.ijrobp.2023.06.2445] [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) This study evaluated the feasibilities and outcomes following four-dimensional magnetic resonance imaging (4D-MRI) guided stereotactic body radiation therapy (SBRT) for unresectable colorectal liver metastases (CRLM). MATERIALS/METHODS From March 2018 to January 2022, we identified 76 unresectable CRLM patients with 123 lesions who received 4D-MRI guided SBRT in our institution. 4D-MRI simulation with or without abdominal compression was conducted for all patients. The prescription dose was 50-65 Gy in 5-12 fractions. The image quality of computed tomography (CT) and MRI were compared using the Clarity Score. Clinical outcomes and toxicity profiles were evaluated. RESULTS The 4D-MRI significantly improved the image quality compared with CT images (mean Clarity Score: 1.67 vs 2.88, P < 0.001). The abdominal compression significantly reduced motions in cranial-caudal direction (P = 0.03) with 2 phase T2 weighted images assessing tumor motion. The median follow-up time was 12.5 months. For 98 lesions assessed for best response, the complete response, partial response and stable disease rate were 57.1 %, 30.6 % and 12.2 %, respectively. The local control (LC) rate at 2 year was 97.3%. 46.1% of patients experienced grade 1-2 toxicities and only 2.6% patients experienced grade 3 hematologic toxicities. CONCLUSION The 4D-MRI technique allowed precise target delineation and motion tracking in unresectable CRLM patients. High LC rate and mild toxicities were achieved. This study provided evidence for using 4D-MRI guided SBRT as an alternative treatment in unresectable CRLM.
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Affiliation(s)
- H Z Wang
- Key Laboratory of Carcinogenesis and Translational Research (Ministry of Education/Beijing), Department of Radiation Oncology, Peking University Cancer Hospital and Institute, Beijing, China
| | - X Zheng
- Key Laboratory of Carcinogenesis and Translational Research (Ministry of Education/Beijing), Department of Radiation Oncology, Peking University Cancer Hospital and Institute, Beijing, Beijing, China
| | - J Sun
- Key Laboratory of Carcinogenesis and Translational Research (Ministry of Education/Beijing), Department of Radiation Oncology, Peking University Cancer Hospital and Institute, Beijing, Beijing, China
| | - X Zhu
- Key Laboratory of Carcinogenesis and Translational Research (Ministry of Education/Beijing), Department of Radiation Oncology, Peking University Cancer Hospital and Institute, Beijing, China
| | - D Dong
- Key Laboratory of Carcinogenesis and Translational Research (Ministry of Education/Beijing), Department of Radiation Oncology, Peking University Cancer Hospital and Institute, Beijing, Beijing, China
| | - Y Du
- Key Laboratory of Carcinogenesis and Translational Research (Ministry of Education/Beijing), Department of Radiation Oncology, Peking University Cancer Hospital and Institute, Beijing, Beijing, China
| | - Z Feng
- Key Laboratory of Carcinogenesis and Translational Research (Ministry of Education/Beijing), Department of Radiation Oncology, Peking University Cancer Hospital and Institute, Beijing, Beijing, China
| | - J Gong
- Key Laboratory of Carcinogenesis and Translational Research (Ministry of Education/Beijing), Department of Radiation Oncology, Peking University Cancer Hospital and Institute, Beijing, Beijing, China
| | - H Wu
- Key Laboratory of Carcinogenesis and Translational Research (Ministry of Education/Beijing), Department of Radiation Oncology, Peking University Cancer Hospital and Institute, Beijing, Beijing, China
| | - J Geng
- Key Laboratory of Carcinogenesis and Translational Research (Ministry of Education/Beijing), Department of Radiation Oncology, Peking University Cancer Hospital and Institute, Beijing, China
| | - S Li
- Key Laboratory of Carcinogenesis and Translational Research (Ministry of Education/Beijing), Department of Radiation Oncology, Peking University Cancer Hospital and Institute, Beijing, China
| | - M Song
- Key Laboratory of Carcinogenesis and Translational Research (Ministry of Education/Beijing), Department of Radiation Oncology, Peking University Cancer Hospital and Institute, Beijing, China
| | - Y Zhang
- Key Laboratory of Carcinogenesis and Translational Research (Ministry of Education/Beijing), Department of Radiation Oncology, Peking University Cancer Hospital and Institute, Beijing, China
| | - Z Liu
- Key Laboratory of Carcinogenesis and Translational Research (Ministry of Education/Beijing), Department of Radiation Oncology, Peking University Cancer Hospital and Institute, Beijing, China
| | - Y Cai
- Key Laboratory of Carcinogenesis and Translational Research (Ministry of Education/Beijing), Department of Radiation Oncology, Peking University Cancer Hospital and Institute, Beijing, China
| | - Y Li
- Key Laboratory of Carcinogenesis and Translational Research (Ministry of Education/Beijing), Department of Radiation Oncology, Peking University Cancer Hospital and Institute, Beijing, China
| | - W Wang
- Key Laboratory of Carcinogenesis and Translational Research (Ministry of Education/Beijing), Department of Radiation Oncology, Peking University Cancer Hospital and Institute, Beijing, China
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107
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He J, Liu Z, Zhang H, Xie S, Wang X, Zhu Y. Study on development methods of different types of gas wells in tight sandstone gas reservoirs. Sci Rep 2023; 13:16380. [PMID: 37773432 PMCID: PMC10541403 DOI: 10.1038/s41598-023-43640-7] [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: 08/11/2022] [Accepted: 09/26/2023] [Indexed: 10/01/2023] Open
Abstract
Reasonable production allocation of tight sandstone gas reservoirs is an important basis for efficient development of gas wells. Taking Block XX in Ordos Basin as an example, the modified flowing material balance equation was established considering the variation of gas viscosity and compression coefficient, the advantages and disadvantages of the method were discussed, and a reasonable production allocation process for gas wells was developed. The results show that: ① The commonly used flow material balance method ignores the change of natural gas compression coefficient, viscosity and deviation coefficient in the production process. The slope of the relationship curve between bottom hole pressure and cumulative production and the slope of the relationship curve between average formation pressure and cumulative production are not equal After considering this change. Compared with the results calculated by the material balance method, the results calculated by the flow material balance method are smaller. ② The production of 660 gas wells in the study area during stable production period is verified. Compared with the open flow method, the dynamic reserve allocation method is better, with an error of 0.06%. ③ The new method in this paper is used to allocate production for different types of gas wells. The cumulative production of different types of gas wells shows different degrees of increase. The I, II, III and IV types of gas wells increase by 32.26%, 30.29%, 23.58% and 25.07% respectively. This study provides technical support for dynamic reserve calculation and reasonable production allocation of gas wells in the study area, and has important guiding significance for the formulation of reasonable development plan and economic and efficient development of tight sandstone gas reservoirs.
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Affiliation(s)
- Jie He
- State Key Laboratory of Continental Dynamics, Department of Geology, Northwest University, Xi'an, 710069, China
| | - Zhiwei Liu
- No. 7 Oil Production Plant, PetroChina Changqing Oilfield Company, Xi'an, 710018, Shanxi, China
| | - Heng Zhang
- No. 7 Oil Production Plant, PetroChina Changqing Oilfield Company, Xi'an, 710018, Shanxi, China
| | - Shenghong Xie
- No. 7 Oil Production Plant, PetroChina Changqing Oilfield Company, Xi'an, 710018, Shanxi, China
| | - Xiqiang Wang
- No. 7 Oil Production Plant, PetroChina Changqing Oilfield Company, Xi'an, 710018, Shanxi, China
| | - Yushuang Zhu
- State Key Laboratory of Continental Dynamics, Department of Geology, Northwest University, Xi'an, 710069, China.
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108
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Zhang MQ, Subinuer M, Chen ZP, Cai J, Liu C, Li XQ, Liu Z, Qiao T. [Clinical analysis of surgical treatment of infection after interventional operation for major iliac artery disease in 6 cases]. Zhonghua Wai Ke Za Zhi 2023; 61:1007-1013. [PMID: 37767668 DOI: 10.3760/cma.j.cn112139-20230228-00087] [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: 09/29/2023]
Abstract
Objective: To explore the surgical treatment strategy of stent graft infection after interventional treatment of major iliac artery related diseases. Methods: Retrospective analysis was performed on the clinical data of 6 patients with secondary stent graft infection after interventional treatment for major iliac artery related diseases admitted to the Department of Vascular Surgery,Affiliated Drum Tower Hospital,Medical School of Nanjing University from November 2021 to August 2022.There were 5 males and 1 female,with a mean age of 64 years (range:49 to 79 years).The infection time was 53 to 3 165 days.All the 6 patients received surgical treatment,including 3 patients who underwent anatomic bypass grafting (axillary arterial-femoral artery bypass,femoral arterial-femoral artery bypass) using artificial vessels,and 3 patients who underwent in situ abdominal aorta reconstruction using bovine pericardium.The perioperative situation,postoperative infection and the occurrence of serious adverse events were recorded,and the safety of different treatment methods and materials was evaluated. Results: All patients successfully completed the operation and no death occurred during hospitalization.Intraoperative blood loss was 2 000~5 000 ml,and intraoperative blood transfusion was 1 600 to 5 350 ml.All the patients were followed up for 81 to 395 days after surgery,and the incision healed well,and no reinfection occurred.Postoperative gastrointestinal bleeding occurred in 1 patient,secondary surgery (retroperitoneal hematoma removal) was performed in 1 patient due to postoperative bleeding at the vascular anastomosis,both lower limb amputations were performed in 1 patient due to postoperative lower limb ischemia,and intermittent claudication occurred in 2 patients.All patients were alive at the last follow-up. Conclusion: For patients with aortic stent graft infection,when the infection is not serious and there is enough space to block the proximal and distal aorta,in situ aortic reconstruction is an effective treatment,and different materials can achieve satisfactory results in a short period of time.
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Affiliation(s)
- M Q Zhang
- Department of Vascular Surgery,Affiliated Drum Tower Hospital,Medical School of Nanjing University,Nanjing 210008,China
| | - Maimaitiaili Subinuer
- Department of Vascular Surgery,Affiliated Drum Tower Hospital,Medical School of Nanjing University,Nanjing 210008,China
| | - Z P Chen
- Department of Vascular Surgery,Affiliated Drum Tower Hospital,Medical School of Nanjing University,Nanjing 210008,China
| | - J Cai
- Department of Vascular Surgery,Affiliated Drum Tower Hospital,Medical School of Nanjing University,Nanjing 210008,China
| | - C Liu
- Department of Vascular Surgery,Affiliated Drum Tower Hospital,Medical School of Nanjing University,Nanjing 210008,China
| | - X Q Li
- Department of Vascular Surgery,Affiliated Drum Tower Hospital,Medical School of Nanjing University,Nanjing 210008,China
| | - Z Liu
- Department of Vascular Surgery,Affiliated Drum Tower Hospital,Medical School of Nanjing University,Nanjing 210008,China
| | - T Qiao
- Department of Vascular Surgery,Affiliated Drum Tower Hospital,Medical School of Nanjing University,Nanjing 210008,China
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109
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Lu P, Liu Z, Lei E, Huang K, Song C. Superdirective Wideband Array of Circular Monopoles with Loaded Patches for Wireless Communications. Sensors (Basel) 2023; 23:7851. [PMID: 37765908 PMCID: PMC10536911 DOI: 10.3390/s23187851] [Citation(s) in RCA: 1] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [Grants] [Track Full Text] [Subscribe] [Scholar Register] [Received: 08/09/2023] [Revised: 08/31/2023] [Accepted: 09/06/2023] [Indexed: 09/29/2023]
Abstract
A wideband superdirective array, composed of a two-element circular monopole configuration, is introduced. The monopoles are placed in close proximity, facing each other on a metal ground. To ensure good matching at high frequencies, two pairs of elliptical patches are added to the sides of the monopoles, enhancing the surface current of the circular patch for wideband performance. To achieve equal amplitude excitation and the desired phase difference, a wideband power divider with a phase shifter is designed to feed the antenna array. Simulation and measurement results demonstrate that the proposed wideband antenna array, operating within the frequency range of 2.94-7.93 GHz, exhibits a maximum directivity of 8.36-10 dBi, with an antenna efficiency ranging from 47.86 to 83.18% across the bandwidth. The proposed array has the advantages of miniaturization, high directivity and wideband operation and can be widely used in various portable wireless communication systems, including WLAN (5.05-5.9 GHz), ISM (5.725-5.875 GHz), 5G communication (3.3-3.8 GHz), etc.
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Affiliation(s)
- Ping Lu
- School of Electronics and Information Engineering, Sichuan University, Chengdu 610064, China; (Z.L.); (E.L.); (K.H.)
| | - Zhiwei Liu
- School of Electronics and Information Engineering, Sichuan University, Chengdu 610064, China; (Z.L.); (E.L.); (K.H.)
| | - Enpu Lei
- School of Electronics and Information Engineering, Sichuan University, Chengdu 610064, China; (Z.L.); (E.L.); (K.H.)
| | - Kama Huang
- School of Electronics and Information Engineering, Sichuan University, Chengdu 610064, China; (Z.L.); (E.L.); (K.H.)
| | - Chaoyun Song
- Department of Engineering, King’s College London, London WC2R 2LS, UK;
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110
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Lou PJ, Jacky Lam W, Hsu WL, Pfeiffer RM, Yu KJ, Chan CM, Lee VC, Chen TC, Terng SD, Tsou YA, Leu YS, Liao LJ, Chang YL, Chien YC, Wang CP, Lin CY, Hua CH, Lee JC, Yang TL, Hsiao CH, Wu MS, Tsai MH, Cheng HC, Hildesheim A, Chen CJ, Chan KA, Liu Z. Performance and Operational Feasibility of Epstein-Barr Virus-Based Screening for Detection of Nasopharyngeal Carcinoma: Direct Comparison of Two Alternative Approaches. J Clin Oncol 2023; 41:4257-4266. [PMID: 37478397 PMCID: PMC10852390 DOI: 10.1200/jco.22.01979] [Citation(s) in RCA: 2] [Impact Index Per Article: 2.0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 08/31/2022] [Revised: 01/21/2023] [Accepted: 06/05/2023] [Indexed: 07/23/2023] Open
Abstract
PURPOSE Two Epstein-Barr virus (EBV)-based testing approaches have shown promise for early detection of nasopharyngeal carcinoma (NPC). Neither has been independently validated nor their performance compared. We compared their diagnostic performance in an independent population. METHODS We tested blood samples from 819 incident Taiwanese NPC cases (213 early-stage, American Joint Committee on Cancer version 7 stages I and II) diagnosed from 2010 to 2014 and from 1,768 controls from the same region, frequency matched to cases on age and sex. We compared an EBV antibody score using immunoglobulin A antibodies measured by enzyme-linked immunosorbent assay (EBV antibody score) and plasma EBV DNA load measured by real-time PCR followed by next-generation sequencing (NGS) among EBV DNA-positive individuals (EBV DNA algorithm). RESULTS EBV antibodies and DNA load were measured for 2,522 (802 cases; 1,720 controls) and 2,542 (797 cases; 1,745 controls) individuals, respectively. Of the 898 individuals positive for plasma EBV DNA and therefore eligible for NGS, we selected 442 (49%) for NGS testing. The EBV antibody score had a sensitivity of 88.4% (95% CI, 86.1 to 90.6) and a specificity of 94.9% (95% CI, 93.8 to 96.0) for NPC. The EBV DNA algorithm yielded significantly higher sensitivity (93.2%; 95% CI, 91.3 to 94.9; P = 1.33 × 10-4) and specificity (98.1%; 95% CI, 97.3 to 98.8; P = 3.53 × 10-7). For early-stage NPC, the sensitivities were 87.1% (95% CI, 82.7 to 92.4) for the EBV antibody score and 87.0% (95% CI, 81.9 to 91.5) for the EBV DNA algorithm (P = .514). For regions with a NPC incidence of 20-100/100,000 person-years (eg, residents in southern China and Hong Kong), these two approaches yielded similar numbers needed to screen (EBV antibody score: 5,656-1,131; EBV DNA algorithm: 5,365-1,073); positive predictive values ranged from 0.4% to 1.7% and 1.0% to 4.7%, respectively. CONCLUSION We demonstrated high sensitivity and specificity of EBV antibody and plasma EBV DNA for NPC detection, with slightly inferior performance of the EBV antibody score. Cost-effectiveness studies are needed to guide screening implementation.
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Affiliation(s)
- Pei-Jen Lou
- Department of Otolaryngology, National Taiwan University Hospital and College of Medicine, National Taiwan University, Taipei, Taiwan
| | - W.K. Jacky Lam
- Li Ka Shing Institute of Health Sciences, The Chinese University of Hong Kong, Hong Kong SAR, China
- Department of Chemical Pathology, The Chinese University of Hong Kong, Prince of Wales Hospital, Hong Kong SAR, China
- State Key Laboratory of Translational Oncology, Sir Y.K. Pao Centre for Cancer, The Chinese University of Hong Kong, Hong Kong SAR, China
- Centre for Novostics, Hong Kong Science Park, Pak Shek Kok, Hong Kong SAR, China
| | - Wan-Lun Hsu
- Data Science Center, College of Medicine, Fu-Jen Catholic University, New Taipei City, Taiwan
- Master Program of Big Data Analysis in Biomedicine, College of Medicine, Fu-Jen Catholic University, New Taipei City, Taiwan
| | - Ruth M. Pfeiffer
- Division of Cancer Epidemiology and Genetics, National Cancer Institute, Bethesda, MD
| | - Kelly J. Yu
- Division of Cancer Epidemiology and Genetics, National Cancer Institute, Bethesda, MD
| | - Charles M.L. Chan
- Li Ka Shing Institute of Health Sciences, The Chinese University of Hong Kong, Hong Kong SAR, China
- Department of Chemical Pathology, The Chinese University of Hong Kong, Prince of Wales Hospital, Hong Kong SAR, China
| | - Vicky C.T. Lee
- Li Ka Shing Institute of Health Sciences, The Chinese University of Hong Kong, Hong Kong SAR, China
- Department of Chemical Pathology, The Chinese University of Hong Kong, Prince of Wales Hospital, Hong Kong SAR, China
| | - Tseng-Cheng Chen
- Department of Otolaryngology, National Taiwan University Hospital and College of Medicine, National Taiwan University, Taipei, Taiwan
| | - Shyuang-Der Terng
- Division of Head and Neck Surgery, Koo Foundation Sun Yat-Sen Cancer Center, Taipei, Taiwan
| | - Yung-An Tsou
- Department of Otorhinolaryngology, China Medical University Hospital, Taichung, Taiwan
| | - Yi-Shing Leu
- Department of Otolaryngology, MacKay Memorial Hospital, Taipei, Taiwan
| | - Li-Jen Liao
- Department of Otolaryngology, Far Eastern Memorial Hospital, New Taipei City, Taiwan
| | - Yen-Liang Chang
- Department of Otolaryngology, Cathay General Hospital, Taipei, Taiwan
| | - Yin-Chu Chien
- Genomics Research Center, Academia Sinica, Taipei, Taiwan
| | - Cheng-Ping Wang
- Department of Otolaryngology, National Taiwan University Hospital and College of Medicine, National Taiwan University, Taipei, Taiwan
| | - Ching-Yuan Lin
- Division of Head and Neck Surgery, Koo Foundation Sun Yat-Sen Cancer Center, Taipei, Taiwan
| | - Chun-Hung Hua
- Department of Otorhinolaryngology, China Medical University Hospital, Taichung, Taiwan
| | - Jehn-Chuan Lee
- Department of Otolaryngology, MacKay Memorial Hospital, Taipei, Taiwan
| | - Tsung-Lin Yang
- Department of Otolaryngology, National Taiwan University Hospital and College of Medicine, National Taiwan University, Taipei, Taiwan
| | - Chu-Hsing Hsiao
- Department of Otolaryngology, National Taiwan University Hospital and College of Medicine, National Taiwan University, Taipei, Taiwan
| | - Ming-Shiang Wu
- Department of Otolaryngology, National Taiwan University Hospital and College of Medicine, National Taiwan University, Taipei, Taiwan
| | - Ming-Hsui Tsai
- Department of Otorhinolaryngology, China Medical University Hospital, Taichung, Taiwan
| | - Hung-Chun Cheng
- Division of Head and Neck Surgery, Koo Foundation Sun Yat-Sen Cancer Center, Taipei, Taiwan
| | - Allan Hildesheim
- Division of Cancer Epidemiology and Genetics, National Cancer Institute, Bethesda, MD
| | - Chien-Jen Chen
- Genomics Research Center, Academia Sinica, Taipei, Taiwan
| | - K.C. Allen Chan
- Li Ka Shing Institute of Health Sciences, The Chinese University of Hong Kong, Hong Kong SAR, China
- Department of Chemical Pathology, The Chinese University of Hong Kong, Prince of Wales Hospital, Hong Kong SAR, China
- State Key Laboratory of Translational Oncology, Sir Y.K. Pao Centre for Cancer, The Chinese University of Hong Kong, Hong Kong SAR, China
- Centre for Novostics, Hong Kong Science Park, Pak Shek Kok, Hong Kong SAR, China
| | - Zhiwei Liu
- Division of Cancer Epidemiology and Genetics, National Cancer Institute, Bethesda, MD
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111
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Zeng M, Yao Y, Liu Z. [Advances in the study of monitors and predictors of efficacy in allergen-specific immunotherapy for allergic rhinitis]. Zhonghua Er Bi Yan Hou Tou Jing Wai Ke Za Zhi 2023; 58:901-905. [PMID: 37675530 DOI: 10.3760/cma.j.cn115330-20230320-00127] [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] [Grants] [Subscribe] [Scholar Register] [Indexed: 09/08/2023]
Affiliation(s)
- M Zeng
- Department of Otorhinolaryngology Head and Neck Surgery, Tongji Hospital, Tongji Medical College of Huazhong University of Science and Technology, Wuhan 430030, China
| | - Y Yao
- Department of Otorhinolaryngology Head and Neck Surgery, Tongji Hospital, Tongji Medical College of Huazhong University of Science and Technology, Wuhan 430030, China
| | - Z Liu
- Department of Otorhinolaryngology Head and Neck Surgery, Tongji Hospital, Tongji Medical College of Huazhong University of Science and Technology, Wuhan 430030, China
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Zhao J, Xiao D, Wan Q, Wei X, Tao G, Liu Y, Xiang Y, Davey K, Liu Z, Guo Z, Song Y. Molybdenum Atom Engineered Vanadium Disulfide for Boosted High-Capacity Li-Ion Storage. Small 2023; 19:e2301738. [PMID: 37140103 DOI: 10.1002/smll.202301738] [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] [Subscribe] [Scholar Register] [Received: 02/27/2023] [Revised: 04/12/2023] [Indexed: 05/05/2023]
Abstract
A drawback with lithium-ion batteries (LIBs) lies in the unstable lithium storage which results in poor electrochemical performance. Therefore, it's of importance to improve the electrochemical functionality and Li-ion transport kinetics of electrode materials for high-performance lithium storage. Here, a subtle atom engineering via injecting molybdenum (Mo) atoms into vanadium disulfide (VS2 ) to boost high capacity Li-ion storage is reported. By combining operando, ex situ monitoring and theoretical simulation, it is confirmed that the 5.0%Mo atoms impart flower-like VS2 with expanded interplanar spacing, lowered Li-ion diffusion energy barrier, and increased Li-ion adsorption property, together with enhanced e- conductivity, to boost Li-ion migration. A "speculatively" optimized 5.0% Mo-VS2 cathode that exhibits a specific capacity of 260.8 mA h g-1 at 1.0 A g-1 together with a low decay of 0.009% per cycle over 500 cycles is demonstrated. It is shown that this value is ≈1.5 times compared with that for bare VS2 cathode. This investigation has substantiated the Mo atom doping can effectively guide the Li-ion storage and open new frontiers for exploiting high-performance transition metal dichalcogenides for LIBs.
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Affiliation(s)
- Jie Zhao
- State Key Laboratory of Environment-Friendly Energy Materials, School of Materials and Chemistry, Tianfu Institute of Research and Innovation, Southwest University of Science and Technology, Mianyang, Sichuan, 621010, China
| | - Dongdong Xiao
- Beijing National Laboratory for Condensed Matter Physics, Institute of Physics, Chinese Academy of Sciences, Beijing, 100190, China
| | - Qi Wan
- State Key Laboratory of Environment-Friendly Energy Materials, School of Materials and Chemistry, Tianfu Institute of Research and Innovation, Southwest University of Science and Technology, Mianyang, Sichuan, 621010, China
| | - Xijun Wei
- State Key Laboratory of Environment-Friendly Energy Materials, School of Materials and Chemistry, Tianfu Institute of Research and Innovation, Southwest University of Science and Technology, Mianyang, Sichuan, 621010, China
| | - Gang Tao
- State Key Laboratory of Environment-Friendly Energy Materials, School of Materials and Chemistry, Tianfu Institute of Research and Innovation, Southwest University of Science and Technology, Mianyang, Sichuan, 621010, China
| | - Yu Liu
- State Key Laboratory of Environment-Friendly Energy Materials, School of Materials and Chemistry, Tianfu Institute of Research and Innovation, Southwest University of Science and Technology, Mianyang, Sichuan, 621010, China
| | - Yuefei Xiang
- Key Laboratory of LCR Materials and Devices, Yunnan University, Kunming, Yunnan, 650091, China
| | - Kenneth Davey
- School of Chemical Engineering and Advanced Materials, The University of Adelaide, Adelaide, South Australia, 5005, Australia
| | - Zhiwei Liu
- School of Energy and Environmental Engineering, University of Science and Technology Beijing, Beijing, 100083, China
| | - Zaiping Guo
- School of Chemical Engineering and Advanced Materials, The University of Adelaide, Adelaide, South Australia, 5005, Australia
| | - Yingze Song
- State Key Laboratory of Environment-Friendly Energy Materials, School of Materials and Chemistry, Tianfu Institute of Research and Innovation, Southwest University of Science and Technology, Mianyang, Sichuan, 621010, China
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Li M, Gao N, Wang S, Ding Y, Guo YF, Liu Z. A bibliometric analysis of Barrett's esophagus. Eur Rev Med Pharmacol Sci 2023; 27:8055-8073. [PMID: 37750634 DOI: 10.26355/eurrev_202309_33566] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [MESH Headings] [Subscribe] [Scholar Register] [Indexed: 09/27/2023]
Abstract
OBJECTIVE Esophageal adenocarcinoma is known to have a high incidence and poor prognosis in the population and is a serious threat to public health. As a precancerous lesion of esophageal adenocarcinoma, early intervention of Barrett's esophagus is key to the prevention and treatment of esophageal adenocarcinoma. MATERIALS AND METHODS Research publications on Barrett's esophagus (BE) were searched in the Web of Science Core Collection, and the extracted publications were screened to obtain relevant data. The included articles were analyzed bibliometrically using Microsoft Excel 2019, Citespace V, and VOSviewer 1.6.18. The keywords used for the search can be categorized into 4 clusters: endoscopic therapy, clinical screening, risk factors, and drug therapy. RESULTS A total of 3,497 publications from 83 countries and 3,319 research institutions were retrieved. Since 1983, there has been a rapid increase in publications in this field. The United States (n = 1,941) and Mayo Clinic (n = 218) were the most productive countries and institutions, respectively, and the most prominent author was Kenneth K. Wang, who published 89 papers. CONCLUSIONS In this study, we were able to perform a comprehensive and systematic analysis of literature related to BE. Endoscopic resection and radiofrequency ablation may emerge as research hotspots for BE in the future. Our findings provide insight into the current trends in the management of BE and facilitate the choice of appropriate measures to improve the prognosis of patients.
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Affiliation(s)
- M Li
- Department of Gastroenterology, Guang'anmen Hospital, China Academy of Chinese Medical Sciences, Beijing, China.
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Chen XX, Zeng MX, Cai D, Zhou HH, Wang YJ, Liu Z. Correlation between APOE4 gene and gut microbiota in Alzheimer's disease. Benef Microbes 2023; 14:349-360. [PMID: 38661357 DOI: 10.1163/18762891-20220116] [Citation(s) in RCA: 2] [Impact Index Per Article: 2.0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 10/21/2022] [Accepted: 06/07/2023] [Indexed: 04/26/2024]
Abstract
Gut microbiota (GM) dysbiosis has been increasingly associated with Alzheimer's disease (AD). However, the association between APOE4, the most common genetic risk factor for sporadic AD, and GM in AD remains unclear. In this study, we conducted a comparative analysis of the GM of participants from China and the USA, with and without APOE4 genes and with or without AD (67 AD cases, 67 control cases). Our results revealed that the GM alpha diversity was not different between groups (AD_APOE4, Control_APOE4, AD_non-APOE4, and Control_non-APOE4) (419.031 ± 143.631 vs 391.091 ± 126.081, 351.086 ± 169.174 and 386.089 ± 177.200, respectively. P > 0.05). Interestingly, individuals in the AD_APOE4 group had different bacterial compositions and bacterial biomarkers. The Kruskal-Wallis rank sum test indicated that the abundances of many bacterial species in the AD_APOE4 patients differed from those in control individuals, including decreases in unclassified_g__Escherichia-Shigella (1.763 ± 6.73, 4.429 ± 11.13, 8.245 ± 16.55, and 5.69 ± 13.91 in four groups, respectively; P < 0.05), and unclassified_g_Clostridium_sensu_stricto_1 (0.1519 ± 0.348, 2.502 ± 5.913, 0.5146 ± 0.9487, 1.063 ± 3.428 in four groups, respectively; P < 0.05), and increases in gut_metagenome_g_Faecalibacterium (2.885 ± 4.47, 2.174 ± 3.957, 0.5765 ± 1.784, 1.582 ± 2.92 in four groups, respectively. P < 0.01) and unclassified_g_Bacteroides (3.875 ± 3.738, 2.47 ± 2.748, 2.046 ± 3.674, 3.206 ± 3.446 in four groups, respectively; P < 0.05). In the KEGG pathway level 2 analysis, we identified three significant differences in relative abundances of predicted functions between AD_APOE4 and AD_non-APOE4_carrier groups: neurodegenerative diseases (0.0007 ± 0.0005 vs 0.0009 ± 0.0004; P < 0.01), metabolism (0.0240 ± 0.0003 vs 0.0250 ± 0.0003; P < 0.05), and biosynthesis of other secondary metabolites (0.0094 ± 0.0002 vs 0.0090 ± 0.0002; P < 0.05). Receiver operating characteristic curves further demonstrated an area under the curve (AUC) of 0.74 for the discrimination of AD_APOE4_carrier and AD_non-APOE4_carrier individuals.
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Affiliation(s)
- X-X Chen
- Department of Neurology, Guangdong Key Laboratory of Age-Related Cardiac and Cerebral Diseases, Institute of Neurology, Affiliated Hospital of Guangdong Medical University, Zhanjiang, Guangdong Province, China P.R
| | - M-X Zeng
- Department of Neurology, Guangdong Key Laboratory of Age-Related Cardiac and Cerebral Diseases, Institute of Neurology, Affiliated Hospital of Guangdong Medical University, Zhanjiang, Guangdong Province, China P.R
| | - D Cai
- Clinical Skills Training Center, Affiliated Hospital of Guangdong Medical University, Zhanjiang, Guangdong Province, China P.R
| | - H-H Zhou
- Department of Neurology, Guangdong Key Laboratory of Age-Related Cardiac and Cerebral Diseases, Institute of Neurology, Affiliated Hospital of Guangdong Medical University, Zhanjiang, Guangdong Province, China P.R
| | - Y-J Wang
- Department of Neurology, Daping Hospital, Third Military Medical University, Chongqing, China P.R
| | - Z Liu
- Department of Neurology, Guangdong Key Laboratory of Age-Related Cardiac and Cerebral Diseases, Institute of Neurology, Affiliated Hospital of Guangdong Medical University, Zhanjiang, Guangdong Province, China P.R
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Adam J, Adamczyk L, Adams JR, Adkins JK, Agakishiev G, Aggarwal MM, Ahammed Z, Alekseev I, Anderson DM, Aparin A, Aschenauer EC, Ashraf MU, Atetalla FG, Attri A, Averichev GS, Bairathi V, Barish K, Behera A, Bellwied R, Bhasin A, Bielcik J, Bielcikova J, Bland LC, Bordyuzhin IG, Brandenburg JD, Brandin AV, Butterworth J, Caines H, Calderón de la Barca Sánchez M, Cebra D, Chakaberia I, Chaloupka P, Chan BK, Chang FH, Chang Z, Chankova-Bunzarova N, Chatterjee A, Chen D, Chen J, Chen JH, Chen X, Chen Z, Cheng J, Cherney M, Chevalier M, Choudhury S, Christie W, Chu X, Crawford HJ, Csanád M, Daugherity M, Dedovich TG, Deppner IM, Derevschikov AA, Didenko L, Dong X, Drachenberg JL, Dunlop JC, Edmonds T, Elsey N, Engelage J, Eppley G, Esumi S, Evdokimov O, Ewigleben A, Eyser O, Fatemi R, Fazio S, Federic P, Fedorisin J, Feng CJ, Feng Y, Filip P, Finch E, Fisyak Y, Francisco A, Fulek L, Gagliardi CA, Galatyuk T, Geurts F, Ghimire N, Gibson A, Gopal K, Gou X, Grosnick D, Guryn W, Hamad AI, Hamed A, Harabasz S, Harris JW, He S, He W, He XH, He Y, Heppelmann S, Heppelmann S, Herrmann N, Hoffman E, Holub L, Hong Y, Horvat S, Hu Y, Huang HZ, Huang SL, Huang T, Huang X, Humanic TJ, Huo P, Igo G, Isenhower D, Jacobs WW, Jena C, Jentsch A, Ji Y, Jia J, Jiang K, Jowzaee S, Ju X, Judd EG, Kabana S, Kabir ML, Kagamaster S, Kalinkin D, Kang K, Kapukchyan D, Kauder K, Ke HW, Keane D, Kechechyan A, Kelsey M, Khyzhniak YV, Kikoła DP, Kim C, Kimelman B, Kincses D, Kinghorn TA, Kisel I, Kiselev A, Kocan M, Kochenda L, Kosarzewski LK, Kramarik L, Kravtsov P, Krueger K, Kulathunga Mudiyanselage N, Kumar L, Kumar S, Kunnawalkam Elayavalli R, Kwasizur JH, Lacey R, Lan S, Landgraf JM, Lauret J, Lebedev A, Lednicky R, Lee JH, Leung YH, Li C, Li C, Li W, Li W, Li X, Li Y, Liang Y, Licenik R, Lin T, Lin Y, Lisa MA, Liu F, Liu H, Liu P, Liu P, Liu T, Liu X, Liu Y, Liu Z, Ljubicic T, Llope WJ, Longacre RS, Lukow NS, Luo S, Luo X, Ma GL, Ma L, Ma R, Ma YG, Magdy N, Majka R, Mallick D, Margetis S, Markert C, Matis HS, Mazer JA, Minaev NG, Mioduszewski S, Mohanty B, Mooney I, Moravcova Z, Morozov DA, Nagy M, Nam JD, Nasim M, Nayak K, Neff D, Nelson JM, Nemes DB, Nie M, Nigmatkulov G, Niida T, Nogach LV, Nonaka T, Nunes AS, Odyniec G, Ogawa A, Oh S, Okorokov VA, Page BS, Pak R, Pandav A, Panebratsev Y, Pawlik B, Pawlowska D, Pei H, Perkins C, Pinsky L, Pintér RL, Pluta J, Pokhrel BR, Porter J, Posik M, Pruthi NK, Przybycien M, Putschke J, Qiu H, Quintero A, Radhakrishnan SK, Ramachandran S, Ray RL, Reed R, Ritter HG, Rogachevskiy OV, Romero JL, Ruan L, Rusnak J, Sahoo NR, Sako H, Salur S, Sandweiss J, Sato S, Schmidke WB, Schmitz N, Schweid BR, Seck F, Seger J, Sergeeva M, Seto R, Seyboth P, Shah N, Shahaliev E, Shanmuganathan PV, Shao M, Sheikh AI, Shen WQ, Shi SS, Shi Y, Shou QY, Sichtermann EP, Sikora R, Simko M, Singh J, Singha S, Smirnov N, Solyst W, Sorensen P, Spinka HM, Srivastava B, Stanislaus TDS, Stefaniak M, Stewart DJ, Strikhanov M, Stringfellow B, Suaide AAP, Sumbera M, Summa B, Sun XM, Sun X, Sun Y, Sun Y, Surrow B, Svirida DN, Szymanski P, Tang AH, Tang Z, Taranenko A, Tarnowsky T, Thomas JH, Timmins AR, Tlusty D, Tokarev M, Tomkiel CA, Trentalange S, Tribble RE, Tribedy P, Tripathy SK, Tsai OD, Tu Z, Ullrich T, Underwood DG, Upsal I, Van Buren G, Vanek J, Vasiliev AN, Vassiliev I, Videbæk F, Vokal S, Voloshin SA, Wang F, Wang G, Wang JS, Wang P, Wang Y, Wang Y, Wang Z, Webb JC, Weidenkaff PC, Wen L, Westfall GD, Wieman H, Wissink SW, Witt R, Wu Y, Xiao ZG, Xie G, Xie W, Xu H, Xu N, Xu QH, Xu YF, Xu Y, Xu Z, Xu Z, Yang C, Yang Q, Yang S, Yang Y, Yang Z, Ye Z, Ye Z, Yi L, Yip K, Yu Y, Zbroszczyk H, Zha W, Zhang C, Zhang D, Zhang S, Zhang S, Zhang XP, Zhang Y, Zhang Y, Zhang ZJ, Zhang Z, Zhang Z, Zhao J, Zhong C, Zhou C, Zhu X, Zhu Z, Zurek M, Zyzak M. Erratum: Global Polarization of Ξ and Ω Hyperons in Au+Au Collisions at sqrt[s_{NN}]=200 GeV [Phys. Rev. Lett. 126, 162301 (2021)]. Phys Rev Lett 2023; 131:089901. [PMID: 37683178 DOI: 10.1103/physrevlett.131.089901] [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] [Subscribe] [Scholar Register] [Received: 07/28/2023] [Indexed: 09/10/2023]
Abstract
This corrects the article DOI: 10.1103/PhysRevLett.126.162301.
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Xiao S, Wu Y, Gao S, Zhou M, Liu Z, Xiong Q, Jiang L, Yuan G, Li L, Yang L. Deciphering the Hazardous Effects of AFB1 and T-2 Toxins: Unveiling Toxicity and Oxidative Stress Mechanisms in PK15 Cells and Mouse Kidneys. Toxins (Basel) 2023; 15:503. [PMID: 37624260 PMCID: PMC10467080 DOI: 10.3390/toxins15080503] [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: 07/14/2023] [Revised: 08/04/2023] [Accepted: 08/10/2023] [Indexed: 08/26/2023] Open
Abstract
In China, animal feeds are frequently contaminated with a range of mycotoxins, with Aflatoxin B1 (AFB1) and T-2 toxin (T-2) being two highly toxic mycotoxins. This study investigates the combined nephrotoxicity of AFB1 and T-2 on PK15 cells and murine renal tissues and their related oxidative stress mechanisms. PK15 cells were treated with the respective toxin concentrations for 24 h, and oxidative stress-related indicators were assessed. The results showed that the combination of AFB1 and T-2 led to more severe cellular damage and oxidative stress compared to exposure to the individual toxins (p < 0.05). In the in vivo study, pathological examination revealed that the kidney tissue of mice exposed to the combined toxins showed signs of glomerular atrophy. The contents of oxidative stress-related indicators were significantly increased in the kidney tissue (p < 0.05). These findings suggest that the combined toxins cause significant oxidative damage to mouse kidneys. The study highlights the importance of considering the combined effects of mycotoxins in animal feed, particularly AFB1 and T-2, which can lead to severe nephrotoxicity and oxidative stress in PK15 cells and mouse kidneys. The findings have important implications for animal feed safety and regulatory policy.
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Affiliation(s)
- Shuai Xiao
- College of Veterinary Medicine, Hunan Agricultural University, No. 1 Nongda Road, Furong District, Changsha 410128, China; (S.X.); (Y.W.); (S.G.); (M.Z.); (Q.X.); (L.J.); (G.Y.); (L.L.)
| | - Yingxin Wu
- College of Veterinary Medicine, Hunan Agricultural University, No. 1 Nongda Road, Furong District, Changsha 410128, China; (S.X.); (Y.W.); (S.G.); (M.Z.); (Q.X.); (L.J.); (G.Y.); (L.L.)
| | - Suisui Gao
- College of Veterinary Medicine, Hunan Agricultural University, No. 1 Nongda Road, Furong District, Changsha 410128, China; (S.X.); (Y.W.); (S.G.); (M.Z.); (Q.X.); (L.J.); (G.Y.); (L.L.)
| | - Mingxia Zhou
- College of Veterinary Medicine, Hunan Agricultural University, No. 1 Nongda Road, Furong District, Changsha 410128, China; (S.X.); (Y.W.); (S.G.); (M.Z.); (Q.X.); (L.J.); (G.Y.); (L.L.)
| | - Zhiwei Liu
- Wuhan Animal Disease Control Center, No. 170, Erqi Road, Jiang’an District, Wuhan 430014, China;
| | - Qianbo Xiong
- College of Veterinary Medicine, Hunan Agricultural University, No. 1 Nongda Road, Furong District, Changsha 410128, China; (S.X.); (Y.W.); (S.G.); (M.Z.); (Q.X.); (L.J.); (G.Y.); (L.L.)
| | - Lihuang Jiang
- College of Veterinary Medicine, Hunan Agricultural University, No. 1 Nongda Road, Furong District, Changsha 410128, China; (S.X.); (Y.W.); (S.G.); (M.Z.); (Q.X.); (L.J.); (G.Y.); (L.L.)
| | - Guoxiang Yuan
- College of Veterinary Medicine, Hunan Agricultural University, No. 1 Nongda Road, Furong District, Changsha 410128, China; (S.X.); (Y.W.); (S.G.); (M.Z.); (Q.X.); (L.J.); (G.Y.); (L.L.)
| | - Linfeng Li
- College of Veterinary Medicine, Hunan Agricultural University, No. 1 Nongda Road, Furong District, Changsha 410128, China; (S.X.); (Y.W.); (S.G.); (M.Z.); (Q.X.); (L.J.); (G.Y.); (L.L.)
| | - Lingchen Yang
- College of Veterinary Medicine, Hunan Agricultural University, No. 1 Nongda Road, Furong District, Changsha 410128, China; (S.X.); (Y.W.); (S.G.); (M.Z.); (Q.X.); (L.J.); (G.Y.); (L.L.)
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Shu H, Zhang J, Cheng D, Zhao X, Ma Y, Zhang C, Zhang Y, Jia Z, Liu Z. The Role of Proton-Coupled Amino Acid Transporter 2 (SLC36A2) in Cold-Induced Thermogenesis of Mice. Nutrients 2023; 15:3552. [PMID: 37630739 PMCID: PMC10458080 DOI: 10.3390/nu15163552] [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: 07/10/2023] [Revised: 08/07/2023] [Accepted: 08/08/2023] [Indexed: 08/27/2023] Open
Abstract
Brown adipocytes mainly utilize glucose and fatty acids to produce energy, which play key roles in thermogenesis. Furthermore, brown adipocytes also utilize other substrates, such as amino acids, for energy expenditure in various conditions. Here, we report the new physiological roles of proton-coupled amino acid transporters, SLC36A2 and SLC36A3, on global energy metabolism. The relative mRNA expression levels of both Slc36a2 and Slc36a3 were all highest in brown adipose tissue. We then generated global Slc36a2 and Slc36a3 knockout mice to investigate their functions in metabolism. Neither loss of Slc36a2 nor Slc36a3 affected the body weight and body composition of the mice. Slc36a2 knockout mice exhibited increased oxygen consumption during the daytime. After cold treatment, inhibition of Slc36a2 significantly decreased the mass of brown adipose tissue compared to wildtype mice, while it lowered the expression level of Cpt1a. Moreover, the serum lipid levels and liver mass were also decreased in Slc36a2 knockout mice after cold treatment. On the contrary, Slc36a3 knockout impaired glucose tolerance and up-regulated serum LDL-cholesterol concentration. Thus, SLC36A2 and SLC36A3 play central and different roles in the energy metabolism of the mice.
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Affiliation(s)
| | | | | | | | | | | | | | - Zhihao Jia
- Cambridge-Suda Genomic Resource Center, Suzhou Medical College, Soochow University, Suzhou 215123, China; (H.S.); (J.Z.); (Y.M.); (Y.Z.)
| | - Zhiwei Liu
- Cambridge-Suda Genomic Resource Center, Suzhou Medical College, Soochow University, Suzhou 215123, China; (H.S.); (J.Z.); (Y.M.); (Y.Z.)
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Yun R, Che J, Liu Z, Yan X, Qi M. A novel electric stimulus-responsive micro-actuator for powerful biomimetic motions. Nanoscale 2023; 15:12933-12943. [PMID: 37482766 DOI: 10.1039/d3nr01866k] [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] [Indexed: 07/25/2023]
Abstract
Limited by the surface-to-volume ratio of structural materials, it is a great challenge to achieve high output performance in a millimetre-sized actuator. Traditional rigid actuators can achieve higher vibration frequencies above the centimetre size, but their working performance will be greatly reduced below the millimetre size, and even cannot maintain the vibration. A micro-actuator is highly essential for the miniaturisation of bionic robots. In this work, we present a novel driving principle by utilising the plasmonic thermal energy generated by electric stimulation to drive the vibration of the micro-actuator. In the design, the micro-actuator is composed of two chambers and elastic elements, which is similar to the design of a micro-piston. By utilising the thermal energy of the plasma, the actuator can generate high-frequency vibration (resonant frequency of 140 Hz), and the simple structural design can achieve a large vibration amplitude on a millimetre scale. Based on this powerful actuator, several applications are presented, such as fast crawling and jumping. The good performance of the electric stimulus-responsive micro-actuator suggests promising applications ranging from millimetre-scale robots in confined spaces to detection, search and rescue.
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Affiliation(s)
- Ruide Yun
- School of Energy and Power Engineering, Beihang University, Beijing, China.
| | - Jingyu Che
- School of Energy and Power Engineering, Beihang University, Beijing, China.
| | - Zhiwei Liu
- School of Energy and Power Engineering, Beihang University, Beijing, China.
| | - Xiaojun Yan
- School of Energy and Power Engineering, Beihang University, Beijing, China.
| | - Mingjing Qi
- School of Energy and Power Engineering, Beihang University, Beijing, China.
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Xu J, Xu J, Tong Z, Yu S, Liu B, Mu X, Du B, Gao C, Wang J, Liu Z, Liu D. Impact of different classification schemes on discrimination of proteins with noise-contaminated spectra using laboratory-measured fluorescence data. Spectrochim Acta A Mol Biomol Spectrosc 2023; 296:122646. [PMID: 37003145 DOI: 10.1016/j.saa.2023.122646] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Subscribe] [Scholar Register] [Received: 12/02/2022] [Revised: 03/05/2023] [Accepted: 03/15/2023] [Indexed: 06/19/2023]
Abstract
Biological agents are important to detect and identify with respect to environmental contamination and public health. Noise contamination in fluorescent spectra is one of the contributors to the uncertainties of identification. In order to investigate the noise-tolerant capability provided by laboratory-measured excitation-emission matrix (EEM) fluorescence spectra that are used as a database, fluorescence properties of four proteinaceous biotoxin samples and ten harmless protein samples were characterized by EEM fluorescence spectra, and the predicting performance of models trained by laboratory-measured fluorescence data was tested and verified from validation data with noise-contaminated spectra. By means of peak signal of noise (PSNR) as an indicator of noise levels, the potential impact of noise contaminations on the characterization and discrimination of these samples was evaluated quantitatively. Different classification schemes utilizing multivariate analysis techniques of Principal Component Analysis (PCA), Random Forest (RF), and Multi-layer Perceptron (MPL) coupled with feature descriptors of differential transform (DT), Fourier transform (FT) and wavelet transform (WT) were conducted under different PSNR values. We systematically analyzed the performance of classification schemes by the case study at 20 PSNR and by statistical analysis from 1-100 PSNR. The results show that the spectral features with EEM-WT decreased the demanding number of input variables while retaining high performances in sample classification. The spectral features with EEM-FT presented the worst performance although having the largest number of features. The distributions of feature importance and contribution were found sensitive to noise contaminations. The classification scheme of PCA prior to MPL with EEM-WT as input presented an improvement in lower PSNR. These results indicate that robust features extracted by corresponding techniques are critical to enhancing the spectral differentiation capabilities among these samples and play an important role in eliminating the noise effect. The study of classification schemes for discriminating protein samples with noise-contaminated spectra presents tremendous potential for future developments in the rapid detection and identification of proteinaceous biotoxins based on three-dimensional fluorescence spectrometry.
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Affiliation(s)
- Jiwei Xu
- State Key Laboratory of NBC Protection for Civilian, Beijing, 102205, China
| | - Jianjie Xu
- State Key Laboratory of NBC Protection for Civilian, Beijing, 102205, China.
| | - Zhaoyang Tong
- State Key Laboratory of NBC Protection for Civilian, Beijing, 102205, China
| | - Siqi Yu
- Department of Earth System Science, Tsinghua University, Beijing, 100084, China
| | - Bing Liu
- State Key Laboratory of NBC Protection for Civilian, Beijing, 102205, China
| | - Xihui Mu
- State Key Laboratory of NBC Protection for Civilian, Beijing, 102205, China
| | - Bin Du
- State Key Laboratory of NBC Protection for Civilian, Beijing, 102205, China
| | - Chuan Gao
- State Key Laboratory of NBC Protection for Civilian, Beijing, 102205, China
| | - Jiang Wang
- State Key Laboratory of NBC Protection for Civilian, Beijing, 102205, China
| | - Zhiwei Liu
- State Key Laboratory of NBC Protection for Civilian, Beijing, 102205, China
| | - Dong Liu
- Key Laboratory of Atmospheric Optics, Anhui Institute of Optics and Fine Mechanics, Chinese Academy of Sciences, Hefei, 230031, Anhui, China
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Liu G, Liu B, Liu B, Tang L, Liu Z, Dai H. Cytokines as Prognostic Biomarkers in Osteosarcoma Patients: A Systematic Review and Meta-analysis. J Interferon Cytokine Res 2023; 43:335-343. [PMID: 37566475 DOI: 10.1089/jir.2023.0083] [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: 08/13/2023] Open
Abstract
Osteosarcoma is the most prevalent type of primary bone malignancy in children and adolescents. The effect of cytokines on osteosarcoma prognosis has been studied and reported. This meta-analysis aimed to assess the prognostic value of cytokines as osteosarcoma biomarkers. Databases including PubMed, Embase, and Cochrane Library were searched for studies on the prognostic value of cytokines in osteosarcoma. From the eligible studies, data on overall survival (OS), disease-free survival, and metastasis-free survival (MFS) were extracted. Pooled hazard ratios (HRs) and 95% confidence intervals (CIs) were calculated. A total of 11 studies involving 755 patients were included in this analysis. High macrophage migration inhibitory factor (MIF) expression in tumors was significantly associated with shortened OS (HR = 2.01, 95% CI: 1.18-3.42, P = 0.010) and MFS (HR = 2.51, 95% CI: 1.47-4.01, P = 0.001). Elevated T cell immunoglobulin and mucin domain-3 (Tim-3) levels in serum correlated with increased risk of disease progression in patients with osteosarcoma (HR = 3.14, 95% CI: 2.88-3.03, P < 0.001). However, interleukin 6 (IL-6) and tumor necrosis factor were not substantially associated with osteosarcoma prognosis. Owing to a paucity of research, other relevant cytokines [interferon-α/β receptor, tissue factor, macrophage inhibitory cytokine 1 (MIC-1), and IL-23] could not be combined. In conclusion, MIF levels in tumors and Tim-3 levels in serum can be potential biomarkers of poor prognosis in osteosarcoma. To confirm this finding and implement these biomarkers into clinical applications, additional large-scale, high-quality studies are needed.
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Affiliation(s)
- Gang Liu
- Fourth Department of Orthopedics, Cangzhou Central Hospital, Cangzhou, China
| | - Ben Liu
- Fourth Department of Orthopedics, Cangzhou Central Hospital, Cangzhou, China
| | - BinBin Liu
- Fourth Department of Orthopedics, Cangzhou Central Hospital, Cangzhou, China
| | - Liyuan Tang
- Department of Pharmacy, Cangzhou Central Hospital, Cangzhou, China
| | - Zhiwei Liu
- Fourth Department of Orthopedics, Cangzhou Central Hospital, Cangzhou, China
| | - Haiyang Dai
- Fourth Department of Orthopedics, Cangzhou Central Hospital, Cangzhou, China
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Yu W, Wei M, Tang Z, Zou H, Li L, Zou Y, Yang S, Wang Y, Zhang Y, Li X, Guo H, Wu C, Qu B, Gao Y, Lu G, Wang S, Chen Z, Liu Z, Zhou H, Wei B, Liao Y, Zhang L, Li Y, Gong Q, Sargent EH, Xiao L. Separating Crystal Growth from Nucleation Enables the In Situ Controllable Synthesis of Nanocrystals for Efficient Perovskite Light-Emitting Diodes. Adv Mater 2023; 35:e2301114. [PMID: 37314026 DOI: 10.1002/adma.202301114] [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] [Subscribe] [Scholar Register] [Received: 02/04/2023] [Revised: 06/02/2023] [Indexed: 06/15/2023]
Abstract
Colloidal perovskite nanocrystals (PNCs) display bright luminescence for light-emitting diode (LED) applications; however, they require post-synthesis ligand exchange that may cause surface degradation and defect formation. In situ-formed PNCs achieve improved surface passivation using a straightforward synthetic approach, but their LED performance at the green wavelength is not yet comparable with that of colloidal PNC devices. Here, it is found that the limitations of in situ-formed PNCs stem from uncontrolled formation kinetics: conventional surface ligands confine perovskite nuclei but fail to delay crystal growth. A bifunctional carboxylic-acid-containing ammonium hydrobromide ligand that separates crystal growth from nucleation is introduced, leading to the formation of quantum-confined PNC solids exhibiting a narrow size distribution. Controlled crystallization is further coupled with defect passivation using deprotonated phosphinates, enabling improvements in photoluminescence quantum yield to near unity. Green LEDs are fabricated with a maximum current efficiency of 109 cd A-1 and an average external quantum efficiency of 22.5% across 25 devices, exceeding the performance of their colloidal PNC-based counterparts. A 45.6 h operating half-time is further documented for an unencapsulated device in N2 with an initial brightness of 100 cd m-2 .
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Affiliation(s)
- Wenjin Yu
- State Key Laboratory for Artificial Microstructure and Mesoscopic Physics, Department of Physics, Peking University, Beijing, 100871, P. R. China
| | - Mingyang Wei
- Department of Electrical and Computer Engineering, University of Toronto, Toronto, ON, M5S 3G4, Canada
| | - Zhenyu Tang
- State Key Laboratory for Artificial Microstructure and Mesoscopic Physics, Department of Physics, Peking University, Beijing, 100871, P. R. China
| | - Hongshuai Zou
- State Key Laboratory of Integrated Optoelectronics, Key Laboratory of Automobile Materials of MOE, Jilin Provincial International Cooperation Key Laboratory of High-Efficiency Clean Energy Materials and School of Materials Science and Engineering, Jilin University, Changchun, 130012, P. R. China
| | - Liang Li
- School of Materials Science and Engineering, Peking University, Beijing, 100871, P. R. China
| | - Yu Zou
- State Key Laboratory for Artificial Microstructure and Mesoscopic Physics, Department of Physics, Peking University, Beijing, 100871, P. R. China
| | - Shuang Yang
- State Key Laboratory for Artificial Microstructure and Mesoscopic Physics, Department of Physics, Peking University, Beijing, 100871, P. R. China
| | - Yunkun Wang
- State Key Laboratory for Artificial Microstructure and Mesoscopic Physics, Department of Physics, Peking University, Beijing, 100871, P. R. China
| | - Yuqing Zhang
- State Key Laboratory for Artificial Microstructure and Mesoscopic Physics, Department of Physics, Peking University, Beijing, 100871, P. R. China
| | - Xiangdong Li
- State Key Laboratory for Artificial Microstructure and Mesoscopic Physics, Department of Physics, Peking University, Beijing, 100871, P. R. China
| | - Haoqing Guo
- State Key Laboratory for Artificial Microstructure and Mesoscopic Physics, Department of Physics, Peking University, Beijing, 100871, P. R. China
| | - Cuncun Wu
- State Key Laboratory for Artificial Microstructure and Mesoscopic Physics, Department of Physics, Peking University, Beijing, 100871, P. R. China
| | - Bo Qu
- State Key Laboratory for Artificial Microstructure and Mesoscopic Physics, Department of Physics, Peking University, Beijing, 100871, P. R. China
| | - Yunan Gao
- State Key Laboratory for Artificial Microstructure and Mesoscopic Physics, Department of Physics, Peking University, Beijing, 100871, P. R. China
| | - Guowei Lu
- State Key Laboratory for Artificial Microstructure and Mesoscopic Physics, Department of Physics, Peking University, Beijing, 100871, P. R. China
| | - Shufeng Wang
- State Key Laboratory for Artificial Microstructure and Mesoscopic Physics, Department of Physics, Peking University, Beijing, 100871, P. R. China
- Yangtze Delta Institute of Optoelectronics, Peking University, Nantong, 226010, P. R. China
| | - Zhijian Chen
- State Key Laboratory for Artificial Microstructure and Mesoscopic Physics, Department of Physics, Peking University, Beijing, 100871, P. R. China
| | - Zhiwei Liu
- Beijing National Laboratory for Molecular Sciences, State Key Laboratory of Rare Earth Materials Chemistry and Applications, College of Chemistry and Molecular Engineering, Peking University, Beijing, 100871, P. R. China
| | - Huanping Zhou
- School of Materials Science and Engineering, Peking University, Beijing, 100871, P. R. China
| | - Bin Wei
- Key Laboratory of Advanced Display and System Applications, Shanghai University, Shanghai, 200072, P. R. China
| | - Yingjie Liao
- Key Laboratory of Advanced Display and System Applications, Shanghai University, Shanghai, 200072, P. R. China
| | - Lijun Zhang
- State Key Laboratory of Integrated Optoelectronics, Key Laboratory of Automobile Materials of MOE, Jilin Provincial International Cooperation Key Laboratory of High-Efficiency Clean Energy Materials and School of Materials Science and Engineering, Jilin University, Changchun, 130012, P. R. China
| | - Yan Li
- State Key Laboratory for Artificial Microstructure and Mesoscopic Physics, Department of Physics, Peking University, Beijing, 100871, P. R. China
- Yangtze Delta Institute of Optoelectronics, Peking University, Nantong, 226010, P. R. China
| | - Qihuang Gong
- State Key Laboratory for Artificial Microstructure and Mesoscopic Physics, Department of Physics, Peking University, Beijing, 100871, P. R. China
- Yangtze Delta Institute of Optoelectronics, Peking University, Nantong, 226010, P. R. China
| | - Edward H Sargent
- Department of Electrical and Computer Engineering, University of Toronto, Toronto, ON, M5S 3G4, Canada
| | - Lixin Xiao
- State Key Laboratory for Artificial Microstructure and Mesoscopic Physics, Department of Physics, Peking University, Beijing, 100871, P. R. China
- Yangtze Delta Institute of Optoelectronics, Peking University, Nantong, 226010, P. R. China
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Zhang Y, Xu S, Jiang F, Hu M, Han Y, Wang Y, Liu Z. A comprehensive insight into the role of molecular pathways affected by the Angiopoietin and Tie system involved in hematological malignancies' pathogenesis. Pathol Res Pract 2023; 248:154677. [PMID: 37467636 DOI: 10.1016/j.prp.2023.154677] [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] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 02/17/2023] [Revised: 05/15/2023] [Accepted: 07/04/2023] [Indexed: 07/21/2023]
Abstract
Angiogenesis has been recognized as a critical factor in developing solid tumors and hematological malignancies. How angiogenesis affects the molecular pathways in malignancies is still a mystery. The angiopoietin family, one of the known molecular mediators for angiogenesis, encourages angiogenesis by attaching to Tie receptors on cell surfaces. Angiopoietin, Tie, and particularly the molecular pathways they mediate have all been the subject of recent studies that have established their diagnostic, prognostic, and therapeutic potential. Here, we've reviewed the function of molecular pathways impacted by the Angiogenin and Tie system in hematological malignancies.
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Affiliation(s)
- Ying Zhang
- Department of Blood Transfusion, Sir Run Run Shaw Hospital, Zhejiang University School of Medicine, 3 East Qingchun Road, Hangzhou, Zhejiang 310016, China
| | - Shoufang Xu
- Department of Blood Transfusion, Sir Run Run Shaw Hospital, Zhejiang University School of Medicine, 3 East Qingchun Road, Hangzhou, Zhejiang 310016, China
| | - Feiyu Jiang
- Department of Blood Transfusion, Sir Run Run Shaw Hospital, Zhejiang University School of Medicine, 3 East Qingchun Road, Hangzhou, Zhejiang 310016, China
| | - Mengsi Hu
- Department of Blood Transfusion, Sir Run Run Shaw Hospital, Zhejiang University School of Medicine, 3 East Qingchun Road, Hangzhou, Zhejiang 310016, China
| | - Yetao Han
- Department of Blood Transfusion, Sir Run Run Shaw Hospital, Zhejiang University School of Medicine, 3 East Qingchun Road, Hangzhou, Zhejiang 310016, China
| | - Yingjian Wang
- Department of Blood Transfusion, Sir Run Run Shaw Hospital, Zhejiang University School of Medicine, 3 East Qingchun Road, Hangzhou, Zhejiang 310016, China
| | - Zhiwei Liu
- Department of Blood Transfusion, Sir Run Run Shaw Hospital, Zhejiang University School of Medicine, 3 East Qingchun Road, Hangzhou, Zhejiang 310016, China.
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Zhao Y, Zhang H, Zhao Z, Liu F, Dong M, Chen L, Shen M, Luan Z, Zhang H, Wu J, Li C, Chen J, Li C, Liu Z, Chen Y, Zheng A, Li H, Wang S, Jin W, Sun G. Efficacy and safety of Oral LL-37 against the Omicron BA.5.1.3 variant of SARS-COV-2: A randomized trial. J Med Virol 2023; 95:e29035. [PMID: 37605995 DOI: 10.1002/jmv.29035] [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: 04/14/2023] [Revised: 06/23/2023] [Accepted: 08/03/2023] [Indexed: 08/23/2023]
Abstract
Recombinant LL-37 Lactococcus lactis (Oral LL-37) was designed to prevent progression of COVID-19 by targeting virus envelope, however, effectiveness and safety of Oral LL-37 in clinical application was unclear. A total of 238 adult inpatients, open-labelled, randomized, placebo-controlled, single-center study was conducted to investigate the primary end points, including negative conversion time (NCT) of SARS-CoV-2 RNA and adverse events (AEs). As early as intervened on 6th day of case confirmed, Oral LL-37 could significantly shorten NCT (LL-37 9.80 ± 2.67 vs. placebo 14.04 ± 5.89, p < 0.01). For Oral LL-37, as early as treated in 6 days, the adjusted hazard ratio (HR) for a primary event of nucleic acid negative outcome was 6.27-fold higher than 7-day-later (HR: 6.276, 95% confidence interval [CI]: 3.631-10.848, p < 0.0001), and the adjusted HR of Oral LL-37 within 6 days is higher than placebo (HR: 2.427 95% CI: 1.239-4.751, p = 0.0097). No severe AEs were observed during hospitalization and follow-up investigation. This study shows that early intervention of Oral LL-37 incredibly reduces NCT implying a potential for clearance of Omicron BA.5.1.3 without evident safety concerns.
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Affiliation(s)
- Yiming Zhao
- Department of Gastroenterology and Hepatology, Hainan Hospital, Chinese PLA General Hospital, Sanya, Hainan, China
| | - Hanlin Zhang
- Key Laboratory of Animal Ecology and Conservation Biology, Institute of Zoology, Chinese Academy of Sciences, Beijing, China
| | - Zhizhuang Zhao
- Department of Geriatric Medicine, Hainan Hospital, Chinese PLA General Hospital, Sanya, Hainan, China
| | - Fangfang Liu
- Department of Medical Oncology, Fifth Medical Center, Chinese PLA General Hospital, Beijing, China
| | - Meng Dong
- Key Laboratory of Animal Ecology and Conservation Biology, Institute of Zoology, Chinese Academy of Sciences, Beijing, China
| | - Li Chen
- Key Laboratory of Animal Ecology and Conservation Biology, Institute of Zoology, Chinese Academy of Sciences, Beijing, China
- Savaid Medical School, University of Chinese Academy of Sciences, Beijing, China
| | - Mingzhi Shen
- Department of Cardiovascular Medicine, Hainan Hospital, Chinese PLA General Hospital, Sanya, Hainan, China
| | - Zhe Luan
- Department of Gastroenterology and Hepatology, First Medical Center, Chinese PLA General Hospital, Beijing, China
| | - Hanwen Zhang
- Department of Gastroenterology and Hepatology, First Medical Center, Chinese PLA General Hospital, Beijing, China
| | - Junling Wu
- Department of Gastroenterology and Hepatology, First Medical Center, Chinese PLA General Hospital, Beijing, China
| | - Congyong Li
- Department of Geriatric Gastroenterology, Sixth Medical Center, Chinese PLA General Hospital, Beijing, China
| | - Jun Chen
- Department of Gastroenterology and Hepatology, First Medical Center, Chinese PLA General Hospital, Beijing, China
| | - Chao Li
- Department of Gastroenterology, Hainan Hospital, Chinese PLA General Hospital, Sanya, Hainan, China
| | - Zhiwei Liu
- Department of General Surgery, Hainan Hospital, Chinese PLA General Hospital, Sanya, Hainan, China
| | - Yi Chen
- Department of Gastroenterology and Hepatology, First Medical Center, Chinese PLA General Hospital, Beijing, China
| | - Aihua Zheng
- State Key Laboratory of Integrated Management of Pest Insects and Rodents, Institute of Zoology, Chinese Academy of Sciences, Beijing, China
- CAS Center for Excellence in Biotic Interactions, University of Chinese Academy of Sciences, Beijing, China
| | - Huiling Li
- Department of Tropical Medicine, Hainan Hospital, PLA General Hospital, Sanya, Hainan, China
| | - Shufang Wang
- Department of Gastroenterology and Hepatology, First Medical Center, Chinese PLA General Hospital, Beijing, China
| | - Wanzhu Jin
- Key Laboratory of Animal Ecology and Conservation Biology, Institute of Zoology, Chinese Academy of Sciences, Beijing, China
| | - Gang Sun
- Department of Gastroenterology and Hepatology, First Medical Center, Chinese PLA General Hospital, Beijing, China
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Bian B, Liu Z, Feng D, Li W, Wang L, Li Y, Li D. Glutaric Aciduria Type 1: Comparison between Diffusional Kurtosis Imaging and Conventional MR Imaging. AJNR Am J Neuroradiol 2023; 44:967-973. [PMID: 37474264 PMCID: PMC10411849 DOI: 10.3174/ajnr.a7928] [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] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 03/21/2023] [Accepted: 06/07/2023] [Indexed: 07/22/2023]
Abstract
BACKGROUND AND PURPOSE Routine MR imaging has limited use in evaluating the severity of glutaric aciduria type 1. To better understand the mechanisms of brain injury in glutaric aciduria type 1, we explored the value of diffusional kurtosis imaging in detecting microstructural injury of the gray and white matter. MATERIALS AND METHODS This study included 17 patients with glutaric aciduria type 1 and 17 healthy controls who underwent conventional MR imaging and diffusional kurtosis imaging. The diffusional kurtosis imaging metrics of the gray and white matter were measured. Then, the MR imaging scores and diffusional kurtosis imaging metrics of all ROIs were further correlated with the morbidity scores and Barry-Albright dystonia scores. RESULTS The MR imaging scores showed no significant relation to the morbidity and Barry-Albright dystonia scores. Compared with healthy controls, patients with glutaric aciduria type 1 showed higher kurtosis values in the basal ganglia, corona radiata, centrum semiovale, and temporal lobe (P < .05). The DTI metrics of the basal ganglia were higher than those of healthy controls (P < .05). The fractional anisotropy value of the temporal lobe and the mean diffusivity values of basal ganglia in glutaric aciduria type 1 were lower than those in the control group (P < .05). The diffusional kurtosis imaging metrics of the temporal lobe and basal ganglia were significantly correlated with the Barry-Albright dystonia scores. The mean kurtosis values of the anterior and posterior putamen and Barry-Albright dystonia scores were most relevant (r = 0.721, 0.730, respectively). The mean kurtosis values of the basal ganglia had the best diagnostic efficiency with area under the curve values of 0.837 for the temporal lobe, and the mean diffusivity values of the basal ganglia in glutaric aciduria type 1 were lower than those in the control group (P < .05). The diffusional kurtosis imaging metrics of the temporal lobe and basal ganglia were significantly correlated with the Barry-Albright dystonia scores. The mean kurtosis values of the anterior and posterior putamen and Barry-Albright dystonia scores were most relevant (r = 0.721, 0.730, respectively). The mean kurtosis values of the basal ganglia had the best diagnostic efficiency with area under the curve values of 0.837. CONCLUSIONS Diffusional kurtosis imaging provides more comprehensive quantitative information regarding the gray and white matter micropathologic damage in glutaric aciduria type 1 than routine MR imaging scores.
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Affiliation(s)
- B Bian
- From the Departments of Radiology (B.B., Z.L., D.L.)
| | - Z Liu
- From the Departments of Radiology (B.B., Z.L., D.L.)
| | - D Feng
- Outpatient Pediatrics (D.F.)
| | - W Li
- State Key Laboratory of Stem Cell and Reproductive Biology (W.L., L.W.), Chinese Academy of Sciences and University, Beijing, China
| | - L Wang
- State Key Laboratory of Stem Cell and Reproductive Biology (W.L., L.W.), Chinese Academy of Sciences and University, Beijing, China
| | - Y Li
- Gene Therapy Laboratory (Y.L.), The First Hospital of Jilin University, Changchun, Jilin, China
| | - D Li
- From the Departments of Radiology (B.B., Z.L., D.L.)
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Li X, Liu J, Liu Z. Comparison of the results of open PLIF versus UBE PLIF in lumbar spinal stenosis: postoperative adjacent segment instability is lesser in UBE. J Orthop Surg Res 2023; 18:543. [PMID: 37516831 PMCID: PMC10386635 DOI: 10.1186/s13018-023-04038-3] [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] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 05/10/2023] [Accepted: 07/22/2023] [Indexed: 07/31/2023] Open
Abstract
OBJECTIVE To compare the difference in efficacy between open PLIF and UBE for lumbar spinal stenosis and the effect on postoperative adjacent segment instability. METHOD The clinical data of 37 patients with PLIF and 32 patients with UBE for lumbar spinal stenosis were retrospectively analyzed to compare the differences in perioperative conditions and short- and medium-term outcomes. RESULTS All 69 patients completed the surgery successfully. The operating time, number of intraoperative fluoroscopies and hospital days were higher in the UBE group than in the open PLIF group. Intraoperative bleeding and postoperative drainage were lower than in the open PLIF group (P < 0.05). The visual analogue scale (VAS) of low back pain was lower in the UBE group than in the open PLIF group at 1 month and 3 months postoperatively (P < 0.05), and there were no statistically significant VAS scores for low back pain in the two groups at 1 day and 6 months postoperatively (P > 0.05). Leg pain VAS scores were lower in the UBE group than in the open PLIF group at 1 month, 3 months and 6 months postoperatively (P < 0.05), and leg pain VAS scores were not statistically significant in both groups at 1 day postoperatively (P > 0.05). The ODI index was lower in the UBE group than in the open PLIF group at 1 day and 1 month postoperatively (P < 0.05) and was not statistically significant in the two groups at 3 months and 6 months postoperatively (P > 0.05). There was no statistically significant difference between the two groups in postoperative interbody height, sagittal diameter of the spinal canal, efficacy of modified MacNab and interbody fusion (P > 0.05). The open PLIF group was more prone to postoperative adjacent vertebral instability than the UBE group, and the difference was statistically significant (P < 0.05). CONCLUSION With appropriate indications, the open PLIF group and the UBE group had similar short- and medium-term clinical outcomes for the treatment of lumbar spinal stenosis, but patients in the UBE group had better symptomatic improvement than the open PLIF group at 3 months postoperatively, and the effect on postoperative adjacent vertebral instability was smaller in the endoscopic group than in the open PLIF group.
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Affiliation(s)
- Xiaobin Li
- The Third Affiliated Hospital of Soochow University, Changzhou, China
- Yangzhou University, Yangzhou, China
| | - Jie Liu
- The Third Affiliated Hospital of Soochow University, Changzhou, China
| | - Zhiwei Liu
- The Third Affiliated Hospital of Soochow University, Changzhou, China.
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Fan P, Shen Q, Du O, Chen Y, Tang W, Ma J, Ma R, Zhang T, Luo ZC, Liu Z, Ouyang F. Urinary antibiotics concentrations, their related affecting factors and infant growth in the first 6 months of life: A prospective cohort study. Ecotoxicol Environ Saf 2023; 262:115196. [PMID: 37506555 DOI: 10.1016/j.ecoenv.2023.115196] [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] [Subscribe] [Scholar Register] [Received: 02/24/2023] [Revised: 06/20/2023] [Accepted: 06/25/2023] [Indexed: 07/30/2023]
Abstract
Antibiotic exposure even in low-dose could have potential adverse health effects, especially during early life. There is a lack of data on antibiotic burdens in early infancy. We aim to assess antibiotic exposure in infants from birth to 6 months of age, their related affecting factors and the association between antibiotic exposure and infancy growth. Urine samples were collected at ages of 3 days, 42 days, 3 months and 6 months from 197 term-born Chinese infants. A total of 33 representative antibiotics were measured by high performance liquid chromatography-tandem mass spectrometry (HPLC-MS/MS). Urinary antibiotics were detectable in 69.4%, 63.2%, 75.0% and 84.3% of infants at ages of 3 days, 42 days, 3 and 6 months, respectively. The dominant antibiotic categories detected were: Preferred as Veterinary Antibiotics (PVAs), Human Antibiotics (HAs), and Veterinary Antibiotics (VAs). The detectable rates were 30.6%, 45.8%, 58.9%, and 81.4% for PVAs, 34.1%, 20.8%, 28.6%, and 45.1% for HAs, and 36.5%, 12.5%, 6.3%, and 5.9% for VAs, at age 3 days, 42 days, 3 and 6 months, respectively. Urinary concentrations of HAs and preferred as human antibiotics (PHAs) in newborns at age 3 days were not associated with maternal intrapartum antibiotic prophylaxis. Similarly, no associations were observed between urinary antibiotics concentration and antibiotics use in infants at age 42 days or 6 months. The numbers and concentrations of urine detectable antibiotics were similar between infants with exclusive breastfeeding and infants fed with formula or mixed-feeding at all ages of 42 days, 3 and 6 months. At age of 42 days, infants in the low tertile of total antibiotics concentration or with one antibiotic detected had higher weight-for-length Z score and greater head circumference, compared to infants with no antibiotics detected. No associations were found between urinary antibiotics and any of the infant anthropometric measures at age 6 months. In conclusion, urinary antibiotics were detectable in most infants during the first 6 months of life, and PVAs, HAs and VAs were the most commonly detected antibiotics. This suggested the possibility of a foods-originated antibiotics exposure in children. No strong nor consistent associations were found between urinary antibiotic concentration and infant growth at the first six months of life. Still, attention is needed on the adverse health effect of early life exposure to antibiotics in future studies.
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Affiliation(s)
- Pianpian Fan
- Ministry of Education and Shanghai Key Laboratory of Children's Environmental Health, Xinhua Hospital, Shanghai Jiao Tong University School of Medicine, Shanghai, China
| | - Qianwen Shen
- Department of Neonatology, International Peace Maternity and Child Health Hospital, Shanghai Jiao Tong University School of Medicine, Shanghai, China
| | - Ouyang Du
- Ministry of Education and Shanghai Key Laboratory of Children's Environmental Health, Xinhua Hospital, Shanghai Jiao Tong University School of Medicine, Shanghai, China; Department of Electrical and Systems Engineering, McKelvey School of Engineering, Washington University in St. Louis, USA
| | - Yuanzhi Chen
- Ministry of Education and Shanghai Key Laboratory of Children's Environmental Health, Xinhua Hospital, Shanghai Jiao Tong University School of Medicine, Shanghai, China
| | - Weifeng Tang
- Ministry of Education and Shanghai Key Laboratory of Children's Environmental Health, Xinhua Hospital, Shanghai Jiao Tong University School of Medicine, Shanghai, China
| | - Jinqian Ma
- Ministry of Education and Shanghai Key Laboratory of Children's Environmental Health, Xinhua Hospital, Shanghai Jiao Tong University School of Medicine, Shanghai, China
| | - Rui Ma
- Ministry of Education and Shanghai Key Laboratory of Children's Environmental Health, Xinhua Hospital, Shanghai Jiao Tong University School of Medicine, Shanghai, China
| | - Ting Zhang
- Ministry of Education and Shanghai Key Laboratory of Children's Environmental Health, Xinhua Hospital, Shanghai Jiao Tong University School of Medicine, Shanghai, China
| | - Zhong-Cheng Luo
- Ministry of Education and Shanghai Key Laboratory of Children's Environmental Health, Xinhua Hospital, Shanghai Jiao Tong University School of Medicine, Shanghai, China; Department of Obstetrics and Gynecology, Prosserman Centre for Population Health Research, Lunenfeld-Tanenbaum Research Institute, Mount Sinai Hospital, Institute of Health Policy, Management and Evaluation, University of Toronto, Toronto, ON, Canada
| | - Zhiwei Liu
- Department of Neonatology, International Peace Maternity and Child Health Hospital, Shanghai Jiao Tong University School of Medicine, Shanghai, China.
| | - Fengxiu Ouyang
- Ministry of Education and Shanghai Key Laboratory of Children's Environmental Health, Xinhua Hospital, Shanghai Jiao Tong University School of Medicine, Shanghai, China.
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Liu Z, Qiu X, Yang H, Wu X, Ye W. [Inhibitor of growth protein-2 silencing alleviates angiotensin Ⅱ-induced cardiac remodeling in mice by reducing p53 acetylation]. Nan Fang Yi Ke Da Xue Xue Bao 2023; 43:1127-1135. [PMID: 37488795 PMCID: PMC10366506 DOI: 10.12122/j.issn.1673-4254.2023.07.09] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [Subscribe] [Scholar Register] [Indexed: 07/26/2023]
Abstract
OBJECTIVE To investigate the effect of inhibitor of growth protein-2 (Ing2) silencing on angiotensin Ⅱ (AngⅡ)-induced cardiac remodeling in mice and explore the underlying mechanism. METHODS An adenoviral vector carrying Ing2 shRNA or empty adenoviral vector was injected into the tail vein of mice, followed 48 h later by infusion of 1000 ng · kg-1 · min-1 Ang Ⅱ or saline using a mini-osmotic pump for 42 consecutive days. Transthoracic echocardiography was used to assess cardiac geometry and function and the level of cardiac hypertrophy in the mice. Masson and WGA staining were used to detect myocardial fibrosis and cross-sectional area of cardiomyocytes, and myocardial cell apoptosis was detected with TUNEL assay. Western blotting was performed to detect myocardial expressions of cleaved caspase 3, ING2, collagen Ⅰ, Ac-p53(Lys382) and p-p53 (Ser15); Ing2 mRNA expression was detected using real-time PCR. Mitochondrial biogenesis, as measured by mitochondrial ROS content, ATP content, citrate synthase activity and calcium storage, was determined using commercial assay kits. RESULTS The expression levels of Ing2 mRNA and protein were significantly higher in the mice with chronic Ang Ⅱ infusion than in saline-infused mice. Chronic infusion of AngⅡ significantly increased the left ventricular end-systolic diameter (LVESD) and left ventricular end-diastolic diameter (LVEDD) and reduced left ventricular ejection fraction (LVEF) and left ventricular fractional shortening (LVFS) in the mice. Ing2 silencing obviously alleviated AngⅡ-induced cardiac function decline, as shown by decreased LVEDD and LVESD and increased LVEF and LVFS, improved myocardial mitochondrial damage and myocardial hypertrophy and fibrosis, and inhibited cardiomyocyte apoptosis. Chronic AngⅡ infusion significantly increased myocardial expression levels of Ac-p53(Lys382) and p-p53(Ser15) in the mice, and Ing2 silencing prior to AngⅡ infusion lessened AngⅡ- induced increase of Ac-p53(Lys382) without affecting p53 (ser15) expression. CONCLUSION Ing2 silencing can inhibit AngⅡ-induced cardiac remodeling and dysfunction in mice by reducing p53 acetylation.
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Affiliation(s)
- Z Liu
- Department of Cardiovascular Medicine, Chinese Traditional Medicine Hospital of Hainan Province, Haikou 570203, China
| | - X Qiu
- Department of Endocrinology, Chinese Traditional Medicine Hospital of Hainan Province, Haikou 570203, China
| | - H Yang
- Department of Cardiovascular Medicine, Chinese Traditional Medicine Hospital of Hainan Province, Haikou 570203, China
| | - X Wu
- Department of Endocrinology, Chinese Traditional Medicine Hospital of Hainan Province, Haikou 570203, China
| | - W Ye
- Guangzhou University of Chinese Medicine, Guangzhou 510006, China
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Pan Y, Wang Y, Hu M, Xu S, Jiang F, Han Y, Chen F, Liu Z. Aggrephagy-related patterns in tumor microenvironment, prognosis, and immunotherapy for acute myeloid leukemia: a comprehensive single-cell RNA sequencing analysis. Front Oncol 2023; 13:1195392. [PMID: 37534253 PMCID: PMC10393257 DOI: 10.3389/fonc.2023.1195392] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [Track Full Text] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 03/28/2023] [Accepted: 06/12/2023] [Indexed: 08/04/2023] Open
Abstract
Acute myeloid leukemia (AML) is a complex mixed entity composed of malignant tumor cells, immune cells and stromal cells, with intra-tumor and inter-tumor heterogeneity. Single-cell RNA sequencing enables a comprehensive study of the highly complex tumor microenvironment, which is conducive to exploring the evolutionary trajectory of tumor cells. Herein, we carried out comprehensive analyses of aggrephagy-related cell clusters based on single-cell sequencing for patients with acute myeloid leukemia. A total of 11 specific cell types (T, NK, CMP, Myeloid, GMP, MEP, Promono, Plasma, HSC, B, and Erythroid cells) using t-SNE dimension reduction analysis. Several aggrephagy-related genes were highly expressed in the 11 specific cell types. Using Monocle analysis and NMF clustering analysis, six aggrephagy-related CD8+ T clusters, six aggrephagy-related NK clusters, and six aggrephagy-related Mac clusters were identified. We also evaluated the ligand-receptor links and Cell-cell communication using CellChat package and CellChatDB database. Furthermore, the transcription factors (TFs) of aggrephagy-mediated cell clusters for AML were assessed through pySCENIC package. Prognostic analysis of the aggrephagy-related cell clusters based on R package revealed the differences in prognosis of aggrephagy-mediated cell clusters. Immunotherapy of the aggrephagy-related cell clusters was investigated using TIDE algorithm and public immunotherapy cohorts. Our study revealed the significance of aggrephagy-related patterns in tumor microenvironment, prognosis, and immunotherapy for AML.
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Affiliation(s)
- Yan Pan
- Department of Blood Transfusion, The Quzhou Affiliated Hospital of Wenzhou Medical University, Quzhou People’s Hospital, Quzhou, Zhejiang, China
| | - Yingjian Wang
- Department of Blood Transfusion, Sir Run Run Shaw Hospital, Zhejiang University School of Medicine, Hangzhou, Zhejiang, China
| | - Mengsi Hu
- Department of Blood Transfusion, Sir Run Run Shaw Hospital, Zhejiang University School of Medicine, Hangzhou, Zhejiang, China
| | - Shoufang Xu
- Department of Blood Transfusion, Sir Run Run Shaw Hospital, Zhejiang University School of Medicine, Hangzhou, Zhejiang, China
| | - Feiyu Jiang
- Department of Blood Transfusion, Sir Run Run Shaw Hospital, Zhejiang University School of Medicine, Hangzhou, Zhejiang, China
| | - Yetao Han
- Department of Blood Transfusion, Sir Run Run Shaw Hospital, Zhejiang University School of Medicine, Hangzhou, Zhejiang, China
| | - Fangjian Chen
- Department of Blood Transfusion, The Quzhou Affiliated Hospital of Wenzhou Medical University, Quzhou People’s Hospital, Quzhou, Zhejiang, China
| | - Zhiwei Liu
- Department of Blood Transfusion, Sir Run Run Shaw Hospital, Zhejiang University School of Medicine, Hangzhou, Zhejiang, China
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Cao Y, Chen Y, Wang G, Li S, Liu Z. Can uterine artery pulsatility index predict fetal chromosomal abnormality in early pregnancy loss? A retrospective cohort study. Curr Med Imaging 2023; 20:CMIR-EPUB-132905. [PMID: 37449712 DOI: 10.2174/1573405620666230714122732] [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: 10/28/2022] [Revised: 05/12/2023] [Accepted: 06/13/2023] [Indexed: 07/18/2023]
Abstract
BACKGROUND Early pregnancy loss (EPL) or spontaneous loss of an intrauterine pregnancy within the first trimester occurs commonly worldwide. It is useful to predict the possibility of fetal chromosomal abnormalities using other cheap and easily available markers. OBJECTIVE This study aimed to evaluate whether the uterine artery pulsatility index (UtA-PI) can predict fetal chromosomal abnormality in early pregnancy loss (EPL). METHODS This was a retrospective cohort study including 148 women who underwent dilation and curettage for missed abortion. The UtA-PI was measured and evaluated by transvaginal ultrasound. Abnormal UtA-PI was identified through the mean of left and right UA-PI ≥ 90th percentiles of the relevant values for the corresponding gestational age. Copy number variation sequencing (CNV-seq) was performed on EPL cases without maternal cell contamination. RESULTS 107 (72.3%) cases were classified with normal UtA-PI, while 41 (27.7%) cases were classified with abnormal UtA-PI. The fetal chromosomal abnormality rate was significantly higher in cases with normal UtA-PI than in those with abnormal UtA-PI (67.3% vs 22.0%, P = 7.1 × 10-7). Compared to cases with abnormal UtA-PI, the risk of fetal chromosomal abnormalities in cases with normal UtA-PI increased with an odds ratio of 7.3 (95% confidence interval [CI]: 3.2‒17.0, P = 4 × 10-7). The predictive value of normal UtA-PI alone for fetal chromosomal abnormalities was shown to have an area under the curve of 0.67‒0.71 in our population. CONCLUSION The UtA-PI seems to be lower and less likely to be elevated in EPL with fetal chromosomal abnormalities compared to those without aneuploidies. We suggest that UtA-PI should be examined in all EPL patients.
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Affiliation(s)
- Yunyun Cao
- The International Peace Maternity and Child Health Hospital, School of Medicine, Shanghai Jiao Tong University, Shanghai 200030, China
- Shanghai Key Laboratory of Embryo Original Diseases, Shanghai 200030, China
- Institute of Birth Defects and Rare Diseases, School of Medicine, Shanghai Jiao Tong University, Shanghai 200030, China
| | - Yiyao Chen
- The International Peace Maternity and Child Health Hospital, School of Medicine, Shanghai Jiao Tong University, Shanghai 200030, China
- Shanghai Key Laboratory of Embryo Original Diseases, Shanghai 200030, China
- Institute of Birth Defects and Rare Diseases, School of Medicine, Shanghai Jiao Tong University, Shanghai 200030, China
| | - Guanjie Wang
- The International Peace Maternity and Child Health Hospital, School of Medicine, Shanghai Jiao Tong University, Shanghai 200030, China
- Shanghai Key Laboratory of Embryo Original Diseases, Shanghai 200030, China
- Institute of Birth Defects and Rare Diseases, School of Medicine, Shanghai Jiao Tong University, Shanghai 200030, China
| | - Shuyuan Li
- The International Peace Maternity and Child Health Hospital, School of Medicine, Shanghai Jiao Tong University, Shanghai 200030, China
- Shanghai Key Laboratory of Embryo Original Diseases, Shanghai 200030, China
- Institute of Birth Defects and Rare Diseases, School of Medicine, Shanghai Jiao Tong University, Shanghai 200030, China
| | - Zhiwei Liu
- The International Peace Maternity and Child Health Hospital, School of Medicine, Shanghai Jiao Tong University, Shanghai 200030, China
- Shanghai Key Laboratory of Embryo Original Diseases, Shanghai 200030, China
- Institute of Birth Defects and Rare Diseases, School of Medicine, Shanghai Jiao Tong University, Shanghai 200030, China
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Fang P, Huo P, Wang L, Zhao Z, Yu G, Huang Y, Bian Z, Liu Z. Lanthanide complexes with d-f transition: new emitters for single-emitting-layer white organic light-emitting diodes. Light Sci Appl 2023; 12:170. [PMID: 37419880 DOI: 10.1038/s41377-023-01211-5] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Grants] [Track Full Text] [Subscribe] [Scholar Register] [Received: 02/13/2023] [Revised: 06/13/2023] [Accepted: 06/13/2023] [Indexed: 07/09/2023]
Abstract
White organic light-emitting diodes (WOLEDs) is a new generation of lighting technology and has stimulated wide-ranging studies. Despite the advantage of simple device structure, single-emitting-layer WOLEDs (SEL-WOLEDs) still face the challenges of difficult material screening and fine energy level regulation. Herein, we report efficient SEL-WOLEDs with a sky-blue emitting cerium(III) complex Ce-TBO2Et and an orange-red emitting europium(II) complex Eu(Tp2Et)2 as the emitters, showing a maximum external quantum efficiency of 15.9% and Commission Internationale de l'Eclairage coordinates of (0.33, 0.39) at various luminances. Most importantly, the electroluminescence mechanism of direct hole capture and hindered energy transfer between the two emitters facilitate a manageable weight doping concentration of 5% for Eu(Tp2Et)2, avoiding the low concentration (<1%) of the low-energy emitter in typical SEL-WOLEDs. Our results indicate that d-f transition emitters may circumvent fine energy level regulation and provide development potential for SEL-WOLEDs.
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Affiliation(s)
- Peiyu Fang
- Beijing National Laboratory for Molecular Sciences, State Key Laboratory of Rare Earth Materials Chemistry and Applications, College of Chemistry and Molecular Engineering, Peking University, 100871, Beijing, China
| | - Peihao Huo
- Beijing National Laboratory for Molecular Sciences, State Key Laboratory of Rare Earth Materials Chemistry and Applications, College of Chemistry and Molecular Engineering, Peking University, 100871, Beijing, China
| | - Liding Wang
- Beijing National Laboratory for Molecular Sciences, State Key Laboratory of Rare Earth Materials Chemistry and Applications, College of Chemistry and Molecular Engineering, Peking University, 100871, Beijing, China
| | - Zifeng Zhao
- Beijing National Laboratory for Molecular Sciences, State Key Laboratory of Rare Earth Materials Chemistry and Applications, College of Chemistry and Molecular Engineering, Peking University, 100871, Beijing, China
| | - Gang Yu
- Beijing National Laboratory for Molecular Sciences, State Key Laboratory of Rare Earth Materials Chemistry and Applications, College of Chemistry and Molecular Engineering, Peking University, 100871, Beijing, China
| | - Yanyi Huang
- Beijing National Laboratory for Molecular Sciences, State Key Laboratory of Rare Earth Materials Chemistry and Applications, College of Chemistry and Molecular Engineering, Peking University, 100871, Beijing, China
| | - Zuqiang Bian
- Beijing National Laboratory for Molecular Sciences, State Key Laboratory of Rare Earth Materials Chemistry and Applications, College of Chemistry and Molecular Engineering, Peking University, 100871, Beijing, China
| | - Zhiwei Liu
- Beijing National Laboratory for Molecular Sciences, State Key Laboratory of Rare Earth Materials Chemistry and Applications, College of Chemistry and Molecular Engineering, Peking University, 100871, Beijing, China.
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Zhang J, Yang Y, Gao Y, Bai Z, Zhang X, Li K, Liu Z, Shi M, Zhao Y, Wang J, Li J. Non-interference delivery of Ce6 and DOX in NIR light-responsive liposomes for synergetic cervical cancer therapy. Biomed Mater 2023. [PMID: 37406639 DOI: 10.1088/1748-605x/ace4b0] [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] [Indexed: 07/07/2023]
Abstract
Multi-modal combined treatment of malignant tumors can make up for the shortcomings of single treatment through multi-target and multi-path effects to achieve more ideal tumor treatment effect. However, the mutual interference of different drugs in the delivery process in vivo and the difficulty of effective drug accumulation in tumor cells in the first release are the bottlenecks of combined therapy. To this project, light-responsive liposomes (DOX-Ce6-Lip) loading doxorubicin (DOX) and Chlorin e6 (Ce6) without mutual interference were engineered by thin film hydration method. This kind of nano-drug delivery system increased the drugs concentration accumulated in tumors through the EPR effect, and reduce the toxic and side effects of drugs on other tissues in vivo. In addition, after entering the tumor cells, Ce6 produced a large number of reactive oxygen species (ROS) under 660 nm NIR laser irradiation. These ROS further oxidized the unsaturated fatty acid chain in the liposomes and caused the collapse of the liposomes, thus realizing the stimulus-responsive release of Ce6 and DOX. The concentration of DOX and Ce6 in the tumor rapidly reached the peak and achieved a more effective combination of chemotherapy and photodynamic therapy. Consequently, DOX-Ce6-Lip with 660 nm NIR irradiation achieved an efficient tumor growth inhibition of 71.90 ± 3.14%, indicating the versatile potential of chemotherapy and PDT.
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Affiliation(s)
- Jia Zhang
- Yanshan University, Yanshan University, Qinhuangdao, Hebei Province, 066004, CHINA
| | - Yibo Yang
- Yanshan University, Yanshan University, Qinhuangdao, Hebei Province, 066004, CHINA
| | - Yanting Gao
- Yanshan University, Yanshan University, Qinhuangdao, Hebei Province, 066004, CHINA
| | - Zhimin Bai
- Yanshan University, Yanshan University, Qinhuangdao, Hebei Province, 066004, CHINA
| | - Xin Zhang
- Yanshan University, Yanshan University, Qinhuangdao, Hebei Province, 066004, CHINA
| | - Kun Li
- Yanshan University, Yanshan University, Qinhuangdao, Hebei Province, 066004, CHINA
| | - Zhiwei Liu
- Yanshan University, No. 438, West Section of Hebei Street, Qinhuangdao, Hebei, 066004, CHINA
| | - Ming Shi
- Yanshan University, Yanshan University, Qinhuangdao, Hebei Province, 066004, CHINA
| | - Yunwei Zhao
- Jiamusi University, Jiamusi University, Jiamusi, Heilongjiang Province, 154007, CHINA
| | - Jidong Wang
- Yanshan University, Yanshan University, Qinhuangdao, 066004, CHINA
| | - Jian Li
- Yanshan University, Yanshan University, Qinhuangdao, Hebei Province, 066004, CHINA
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Romanenko A, Harnik R, Grassellino A, Pilipenko R, Pischalnikov Y, Liu Z, Melnychuk OS, Giaccone B, Pronitchev O, Khabiboulline T, Frolov D, Posen S, Belomestnykh S, Berlin A, Hook A. Search for Dark Photons with Superconducting Radio Frequency Cavities. Phys Rev Lett 2023; 130:261801. [PMID: 37450797 DOI: 10.1103/physrevlett.130.261801] [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] [Track Full Text] [Subscribe] [Scholar Register] [Received: 01/28/2023] [Accepted: 05/23/2023] [Indexed: 07/18/2023]
Abstract
We conduct the first "light-shining-through-wall" (LSW) search for dark photons using two state-of-the-art high-quality-factor superconducting radio frequency (SRF) cavities -Dark SRF-and report the results of its pathfinder run. Our new experimental setup enables improvements in sensitivity over previous searches and covers new dark photon parameter space. We design delicate calibration and measurement protocols to utilize the high-Q setup at Dark SRF. Using cavities operating at 1.3 GHz, we establish a new exclusion limit for kinetic mixing as small as ε=1.6×10^{-9} and provide the world's best constraints on dark photons in the 2.1×10^{-7}-5.7×10^{-6} eV mass range. Our result is the first proof of concept for the enabling role of SRF cavities in LSW setups, with ample opportunities for further improvements. In addition, our data set a competitive lab-based limit on the standard model photon mass by searching for longitudinal photon polarization.
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Affiliation(s)
- A Romanenko
- Fermi National Accelerator Laboratory, Batavia, Illinois 60510, USA
| | - R Harnik
- Fermi National Accelerator Laboratory, Batavia, Illinois 60510, USA
| | - A Grassellino
- Fermi National Accelerator Laboratory, Batavia, Illinois 60510, USA
| | - R Pilipenko
- Fermi National Accelerator Laboratory, Batavia, Illinois 60510, USA
| | - Y Pischalnikov
- Fermi National Accelerator Laboratory, Batavia, Illinois 60510, USA
| | - Z Liu
- School of Physics and Astronomy, University of Minnesota, Minneapolis, Minnesota 55455, USA
| | - O S Melnychuk
- Fermi National Accelerator Laboratory, Batavia, Illinois 60510, USA
| | - B Giaccone
- Fermi National Accelerator Laboratory, Batavia, Illinois 60510, USA
| | - O Pronitchev
- Fermi National Accelerator Laboratory, Batavia, Illinois 60510, USA
| | - T Khabiboulline
- Fermi National Accelerator Laboratory, Batavia, Illinois 60510, USA
| | - D Frolov
- Fermi National Accelerator Laboratory, Batavia, Illinois 60510, USA
| | - S Posen
- Fermi National Accelerator Laboratory, Batavia, Illinois 60510, USA
| | - S Belomestnykh
- Fermi National Accelerator Laboratory, Batavia, Illinois 60510, USA
| | - A Berlin
- Fermi National Accelerator Laboratory, Batavia, Illinois 60510, USA
| | - A Hook
- Maryland Center for Fundamental Physics, University of Maryland, College Park, Maryland 20742, USA
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Wang Y, Liu Z, Ma G, Xu Y, Li Y. Mouth breathing induces condylar remodelling and chondrocyte apoptosis via both the extrinsic and mitochondrial pathways in male adolescent rats. Tissue Cell 2023; 83:102146. [PMID: 37399641 DOI: 10.1016/j.tice.2023.102146] [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: 02/14/2023] [Revised: 03/29/2023] [Accepted: 06/16/2023] [Indexed: 07/05/2023]
Abstract
The prevalence of mouth breathing is high in children and adolescents. It causes various changes to the respiratory tract and, consequently, craniofacial growth deformities. However, the underlying mechanisms contributing to these effects are obscure. Herein, we aimed to study the effects of mouth breathing on chondrocyte proliferation and death in the condylar cartilage and morphological changes in the mandible and condyle. Additionally, we aimed to elucidate the mechanisms underlying chondrocyte apoptosis and investigate any variations in the related pathways. Subchondral bone resorption and decreased condylar cartilage thickness were observed in mouth-breathing rats; further, mRNA expression levels of Collagen II, Aggrecan, and Sox 9 were lower in the mouth breathing group, while those of matrix metalloproteinase 9 increased. TdT-mediated dUTP nick end labelling staining and immunohistochemistry analyses showed that apoptosis occurred in the proliferative and hypertrophic layers of cartilage in the mouth breathing group. TNF, BAX, cytochrome c, and cleaved-caspase-3 were highly expressed in the condylar cartilage of the mouth-breathing rats. These results suggest that mouth breathing leads to subchondral bone resorption, cartilage layer thinning, and cartilage matrix destruction, inducing chondrocyte apoptosis via both the extrinsic and mitochondrial apoptosis pathways.
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Affiliation(s)
- Y Wang
- Shanghai Engineering Research Center of Tooth Restoration and Regeneration, The Affiliated Stomatology Hospital of Tongji University, Department of Orthodontics, No. 399, Yanchang Middle Road, Jing'an District, Shanghai, CN 200072, China
| | - Z Liu
- Shanghai Engineering Research Center of Tooth Restoration and Regeneration, The Affiliated Stomatology Hospital of Tongji University, Department of Orthodontics, No. 399, Yanchang Middle Road, Jing'an District, Shanghai, CN 200072, China
| | - G Ma
- Shanghai Engineering Research Center of Tooth Restoration and Regeneration, The Affiliated Stomatology Hospital of Tongji University, Department of Orthodontics, No. 399, Yanchang Middle Road, Jing'an District, Shanghai, CN 200072, China
| | - Y Xu
- Shanghai Engineering Research Center of Tooth Restoration and Regeneration, The Affiliated Stomatology Hospital of Tongji University, Department of Orthodontics, No. 399, Yanchang Middle Road, Jing'an District, Shanghai, CN 200072, China
| | - Y Li
- The Affiliated Stomatology Hospital of Tongji University, Department of Orthodontics, No. 399, Yanchang Middle Road, Jing'an District, Shanghai CN 200072, China.
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134
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Zhu X, Xu J, Zhang Y, Li B, Tian Y, Wu Y, Liu Z, Ma C, Tan S, Wang B. Revealing Intramolecular Isotope Effects with Chemical-Bond Precision. J Am Chem Soc 2023. [PMID: 37338304 DOI: 10.1021/jacs.3c02728] [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: 06/21/2023]
Abstract
Isotope substitution of a molecule not only changes its vibrational frequencies but also changes its vibrational distributions in real-space. Quantitatively measuring the isotope effects inside a polyatomic molecule requires both energy and spatial resolutions at the single-bond level, which has been a long-lasting challenge in macroscopic techniques. By achieving ångström resolution in tip-enhanced Raman spectroscopy (TERS), we record the corresponding local vibrational modes of pentacene and its fully deuterated form, enabling us to identify and measure the isotope effect of each vibrational mode. The measured frequency ratio νH/νD varies from 1.02 to 1.33 in different vibrational modes, indicating different isotopic contributions of H/D atoms, which can be distinguished from TERS maps in real-space and well described by the potential energy distribution simulations. Our study demonstrates that TERS can serve as a non-destructive and highly sensitive methodology for isotope detection and recognition with chemical-bond precision.
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Affiliation(s)
- Xiang Zhu
- Hefei National Research Center for Physical Sciences at the Microscale and Synergetic Innovation Center of Quantum Information & Quantum Physics, New Cornerstone Science Laboratory, University of Science and Technology of China, Hefei, Anhui 230026, China
| | - Jiayu Xu
- Hefei National Research Center for Physical Sciences at the Microscale and Synergetic Innovation Center of Quantum Information & Quantum Physics, New Cornerstone Science Laboratory, University of Science and Technology of China, Hefei, Anhui 230026, China
| | - Yao Zhang
- Hefei National Research Center for Physical Sciences at the Microscale and Synergetic Innovation Center of Quantum Information & Quantum Physics, New Cornerstone Science Laboratory, University of Science and Technology of China, Hefei, Anhui 230026, China
- Hefei National Laboratory, University of Science and Technology of China, Hefei, Anhui 230088, China
| | - Bin Li
- Hefei National Research Center for Physical Sciences at the Microscale and Synergetic Innovation Center of Quantum Information & Quantum Physics, New Cornerstone Science Laboratory, University of Science and Technology of China, Hefei, Anhui 230026, China
- Hefei National Laboratory, University of Science and Technology of China, Hefei, Anhui 230088, China
| | - Yishu Tian
- Hefei National Research Center for Physical Sciences at the Microscale and Synergetic Innovation Center of Quantum Information & Quantum Physics, New Cornerstone Science Laboratory, University of Science and Technology of China, Hefei, Anhui 230026, China
| | - Yingying Wu
- Hefei National Research Center for Physical Sciences at the Microscale and Synergetic Innovation Center of Quantum Information & Quantum Physics, New Cornerstone Science Laboratory, University of Science and Technology of China, Hefei, Anhui 230026, China
| | - Zhiwei Liu
- Hefei National Research Center for Physical Sciences at the Microscale and Synergetic Innovation Center of Quantum Information & Quantum Physics, New Cornerstone Science Laboratory, University of Science and Technology of China, Hefei, Anhui 230026, China
| | - Chuanxu Ma
- Hefei National Research Center for Physical Sciences at the Microscale and Synergetic Innovation Center of Quantum Information & Quantum Physics, New Cornerstone Science Laboratory, University of Science and Technology of China, Hefei, Anhui 230026, China
- Hefei National Laboratory, University of Science and Technology of China, Hefei, Anhui 230088, China
| | - Shijing Tan
- Hefei National Research Center for Physical Sciences at the Microscale and Synergetic Innovation Center of Quantum Information & Quantum Physics, New Cornerstone Science Laboratory, University of Science and Technology of China, Hefei, Anhui 230026, China
- Hefei National Laboratory, University of Science and Technology of China, Hefei, Anhui 230088, China
| | - Bing Wang
- Hefei National Research Center for Physical Sciences at the Microscale and Synergetic Innovation Center of Quantum Information & Quantum Physics, New Cornerstone Science Laboratory, University of Science and Technology of China, Hefei, Anhui 230026, China
- Hefei National Laboratory, University of Science and Technology of China, Hefei, Anhui 230088, China
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Li YK, Qiu JY, Shi BL, Liu Z, Mao SH, Qiao J, Zhu ZZ, Qiu Y. [Comparison of intraoperative neurophysiological monitoring between patients with arthrogryposis multiplex congenita and adolescent idiopathic scoliosis]. Zhonghua Yi Xue Za Zhi 2023; 103:1774-1780. [PMID: 37305937 DOI: 10.3760/cma.j.cn112137-20221215-02661] [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: 06/13/2023]
Abstract
Objective: To compare the intraoperative neurophysiological monitoring (IONM) results between patients with arthrogryposis multiplex congenita (AMC) and adolescent idiopathic scoliosis (AIS) and to analyze the influence of congenital spinal deformity on IONM in AMC patients, thus to evaluate the efficiency of IONM in AMC patients. Methods: A cross-sectional study. The clinical data of 19 AMC patients underwent correction surgery from July 2013 to January 2022 in Nanjing Drum Tower Hospital were retrospectively reviewed. There were 13 males and 6 females with a mean age of (15.2±5.6) years, and the average Cobb angle of main curve was 60.8°±27.7°. And 57 female AIS patients of similar age and curve type with the AMC patients during the same period were selected as the control group, with an average age of (14.6±4.4) years and a mean Cobb angle of 55.2°±14.2°. The latency and amplitude of samatosensory evoked potentials (SSEPs) and transcranial electric motor evoked potentials (TCeMEPs) were compared between the two groups. The difference in IONM data between AMC patients with and without congenital spinal deformity was also evaluated. Results: The success rates of SSEPs and TCeMEPs were 100% and 14/19 for AMC patients, 100% and 100% for AIS patients. The SSEPs-P40 latency, SSEPs-N50 latency, SSEPs-amplitude, TCeMEPs-latency, TCeMEPs-amplitude showed no significant difference between AMC patients and AIS patients (P>0.05 for all). The side-difference of TCeMEPs-amplitude showed an increasing trend in AMC patients when compared with that in AIS patients, but there was no statistical difference between the two groups [(147.0±185.6) μV vs (68.1±311.4) μV, P=0.198]. The SSEPs-amplitude value was (1.4±1.1) μV on concave side in AMC patients with congenital spinal deformity, and it was (2.6±1.2) μV on concave side in AMC patients without congenital spinal deformity (P=0.041). The SSEPs-amplitude value was (1.4±0.8) μV on convex side in AMC patients with congenital spinal deformity, and it was (2.6±1.3) μV on convex side in AMC patients without congenital spinal deformity (P=0.028). Conclusions: The values of SSEPs-P40 latency, SSEPs-N50 latency, SSEPs-amplitude, TCeMEPs-latency and TCeMEPs-amplitude are similar in AMC and AIS patients. The SSEPs-amplitude of AMC patients with congenital spinal deformity is lower than that of AMC patients without congenital spinal deformity.
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Affiliation(s)
- Y K Li
- Division of Spine Surgery, Department of Orthopedic Surgery, Nanjing Drum Tower Hospital, the Affiliated Hospital of Nanjing University Medical School, Nanjing 210008, China
| | - J Y Qiu
- Division of Spine Surgery, Department of Orthopedic Surgery, Nanjing Drum Tower Hospital, the Affiliated Hospital of Nanjing University Medical School, Nanjing 210008, China
| | - B L Shi
- Division of Spine Surgery, Department of Orthopedic Surgery, Nanjing Drum Tower Hospital, the Affiliated Hospital of Nanjing University Medical School, Nanjing 210008, China
| | - Z Liu
- Division of Spine Surgery, Department of Orthopedic Surgery, Nanjing Drum Tower Hospital, the Affiliated Hospital of Nanjing University Medical School, Nanjing 210008, China
| | - S H Mao
- Division of Spine Surgery, Department of Orthopedic Surgery, Nanjing Drum Tower Hospital, the Affiliated Hospital of Nanjing University Medical School, Nanjing 210008, China
| | - J Qiao
- Division of Spine Surgery, Department of Orthopedic Surgery, Nanjing Drum Tower Hospital, the Affiliated Hospital of Nanjing University Medical School, Nanjing 210008, China
| | - Z Z Zhu
- Division of Spine Surgery, Department of Orthopedic Surgery, Nanjing Drum Tower Hospital, the Affiliated Hospital of Nanjing University Medical School, Nanjing 210008, China
| | - Y Qiu
- Division of Spine Surgery, Department of Orthopedic Surgery, Nanjing Drum Tower Hospital, the Affiliated Hospital of Nanjing University Medical School, Nanjing 210008, China
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Chen J, Xiao WC, Shan R, Song JY, Liu Z. [Influence of rs2587552 polymorphism of DRD2 gene on the effect of a childhood obesity intervention: A prospective, parallel-group controlled trial]. Beijing Da Xue Xue Bao Yi Xue Ban 2023; 55:436-441. [PMID: 37291918] [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: 06/10/2023]
Abstract
OBJECTIVE To explore the association between rs2587552 polymorphism (has a strong lin-kage disequilibrium with rs1800497 which had been found in many studies to be related to obesity, r2=0.85) of DRD2 gene and the effect of a childhood obesity intervention in Chinese population, and provide a scientific basis for future personalized childhood obesity intervention based on genetic background. METHODS From a multi-center cluster randomized controlled trial studying the effect of a childhood obesity intervention, we enrolled 382 children from 8 primary schools (192 and 190 children from intervention and control groups, respectively) in Beijing as study subjects. Saliva was collected and DNA was extracted to detect the rs2587552 polymorphism of DRD2 gene, and the interactions between the gene and study arms on childhood obesity indicators [including body weight, body mass index (BMI), BMI Z-score, waist circumference, hip circumference, waist-to-hip ratio, waist-to-height ratio, and body fat percentage] were analyzed. RESULTS No association was found between rs2587552 polymorphism and the changes in hip circumference or body fat percentage in the intervention group (P>0.05). However, in the control group, children carrying the A allele at DRD2 rs2587552 locus showed a greater increase in hip circumference and body fat percentage compared with those not carrying A allele (P < 0.001). There were interactions between rs2587552 polymorphism of DRD2 gene and study arms on the changes in hip circumference and body fat percentage (P=0.007 and 0.015, respectively). Compared with the control group, children in the intervention group carrying the A allele at DRD2 rs2587552 locus showed decrease in hip circumference by (-1.30 cm, 95%CI: -2.25 to -0.35, P=0.007) and decrease in body fat percentage by (-1.34%, 95%CI: -2.42 to -0.27, P=0.015) compared with those not carrying A allele. The results were consistent between the dominant model and the additive model (hip circumfe-rence: -0.66 cm, 95%CI: -1.28 to -0.03, P=0.041; body fat percentage: -0.69%, 95%CI: -1.40 to 0.02, P=0.056). No interaction was found between rs2587552 polymorphism and study arms on the changes in other childhood obesity-related indicators (P>0.05). CONCLUSION Children carrying the A allele at rs2587552 polymorphism of DRD2 gene are more sensitive to intervention and showed more improvement in hip circumference and body fat percentage after the intervention, suggesting that future personalized childhood obesity lifestyle intervention can be carried out based on the rs2587552 polymorphism of DRD2 gene.
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Affiliation(s)
- J Chen
- Department of Maternal and Child Health, Peking University School of Public Health, Beijing 100191, China
| | - W C Xiao
- Department of Maternal and Child Health, Peking University School of Public Health, Beijing 100191, China
| | - R Shan
- Department of Maternal and Child Health, Peking University School of Public Health, Beijing 100191, China
| | - J Y Song
- Institute of Child and Adolescent Health, Peking University School of Public Health, Beijing 100191, China
| | - Z Liu
- Department of Maternal and Child Health, Peking University School of Public Health, Beijing 100191, China
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Abdulhamid MI, Aboona BE, Adam J, Adams JR, Agakishiev G, Aggarwal I, Aggarwal MM, Ahammed Z, Aitbaev A, Alekseev I, Anderson DM, Aparin A, Aslam S, Atchison J, Averichev GS, Bairathi V, Baker W, Ball Cap JG, Barish K, Bhagat P, Bhasin A, Bhatta S, Bordyuzhin IG, Brandenburg JD, Brandin AV, Cai XZ, Caines H, Calderón de la Barca Sánchez M, Cebra D, Ceska J, Chakaberia I, Chan BK, Chang Z, Chatterjee A, Chen D, Chen J, Chen JH, Chen Z, Cheng J, Cheng Y, Choudhury S, Christie W, Chu X, Crawford HJ, Dale-Gau G, Das A, Daugherity M, Dedovich TG, Deppner IM, Derevschikov AA, Dhamija A, Di Carlo L, Didenko L, Dixit P, Dong X, Drachenberg JL, Duckworth E, Dunlop JC, Engelage J, Eppley G, Esumi S, Evdokimov O, Ewigleben A, Eyser O, Fatemi R, Fazio S, Feng CJ, Feng Y, Finch E, Fisyak Y, Flor FA, Fu C, Geurts F, Ghimire N, Gibson A, Gopal K, Gou X, Grosnick D, Gupta A, Hamed A, Han Y, Harasty MD, Harris JW, Harrison-Smith H, He W, He XH, He Y, Hu C, Hu Q, Hu Y, Huang H, Huang HZ, Huang SL, Huang T, Huang X, Huang Y, Huang Y, Humanic TJ, Isenhower D, Isshiki M, Jacobs WW, Jalotra A, Jena C, Ji Y, Jia J, Jin C, Ju X, Judd EG, Kabana S, Kabir ML, Kalinkin D, Kang K, Kapukchyan D, Kauder K, Ke HW, Keane D, Kechechyan A, Kelsey M, Kimelman B, Kiselev A, Knospe AG, Ko HS, Kochenda L, Korobitsin AA, Kravtsov P, Kumar L, Kumar S, Kunnawalkam Elayavalli R, Lacey R, Landgraf JM, Lebedev A, Lednicky R, Lee JH, Leung YH, Lewis N, Li C, Li W, Li X, Li Y, Li Y, Li Z, Liang X, Liang Y, Lin T, Liu C, Liu F, Liu G, Liu H, Liu H, Liu L, Liu T, Liu X, Liu Y, Liu Z, Ljubicic T, Llope WJ, Lomicky O, Longacre RS, Loyd EM, Lu T, Lukow NS, Luo XF, Luong VB, Ma L, Ma R, Ma YG, Magdy N, Mallick D, Margetis S, Matis HS, Mazer JA, McNamara G, Mi K, Minaev NG, Mohanty B, Mondal MM, Mooney I, Morozov DA, Mudrokh A, Nagy MI, Nain AS, Nam JD, Nasim M, Neff D, Nelson JM, Nemes DB, Nie M, Nigmatkulov G, Niida T, Nishitani R, Nogach LV, Nonaka T, Odyniec G, Ogawa A, Oh S, Okorokov VA, Okubo K, Page BS, Pak R, Pan J, Pandav A, Pandey AK, Panebratsev Y, Pani T, Parfenov P, Paul A, Perkins C, Pokhrel BR, Posik M, Protzman T, Pruthi NK, Putschke J, Qin Z, Qiu H, Quintero A, Racz C, Radhakrishnan SK, Raha N, Ray RL, Ritter HG, Robertson CW, Rogachevsky OV, Rosales Aguilar MA, Roy D, Ruan L, Sahoo AK, Sahoo NR, Sako H, Salur S, Samigullin E, Sato S, Schmidke WB, Schmitz N, Seger J, Seto R, Seyboth P, Shah N, Shahaliev E, Shanmuganathan PV, Shao T, Sharma M, Sharma N, Sharma R, Sharma SR, Sheikh AI, Shen DY, Shen K, Shi SS, Shi Y, Shou QY, Si F, Singh J, Singha S, Sinha P, Skoby MJ, Söhngen Y, Song Y, Srivastava B, Stanislaus TDS, Stewart DJ, Strikhanov M, Stringfellow B, Su Y, Sun C, Sun X, Sun Y, Sun Y, Surrow B, Svirida DN, Sweger ZW, Tamis A, Tang AH, Tang Z, Taranenko A, Tarnowsky T, Thomas JH, Tlusty D, Todoroki T, Tokarev MV, Tomkiel CA, Trentalange S, Tribble RE, Tribedy P, Tsai OD, Tsang CY, Tu Z, Ullrich T, Underwood DG, Upsal I, Van Buren G, Vasiliev AN, Verkest V, Videbæk F, Vokal S, Voloshin SA, Wang F, Wang G, Wang JS, Wang X, Wang Y, Wang Y, Wang Y, Wang Z, Webb JC, Weidenkaff PC, Westfall GD, Wieman H, Wilks G, Wissink SW, Wu J, Wu J, Wu X, Wu Y, Xi B, Xiao ZG, Xie G, Xie W, Xu H, Xu N, Xu QH, Xu Y, Xu Y, Xu Z, Xu Z, Yan G, Yan Z, Yang C, Yang Q, Yang S, Yang Y, Ye Z, Ye Z, Yi L, Yip K, Yu Y, Zha W, Zhang C, Zhang D, Zhang J, Zhang S, Zhang W, Zhang X, Zhang Y, Zhang Y, Zhang Y, Zhang ZJ, Zhang Z, Zhang Z, Zhao F, Zhao J, Zhao M, Zhou C, Zhou J, Zhou S, Zhou Y, Zhu X, Zurek M, Zyzak M. Measurements of the Elliptic and Triangular Azimuthal Anisotropies in Central ^{3}He+Au, d+Au and p+Au Collisions at sqrt[s_{NN}]=200 GeV. Phys Rev Lett 2023; 130:242301. [PMID: 37390421 DOI: 10.1103/physrevlett.130.242301] [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: 10/20/2022] [Revised: 02/27/2023] [Accepted: 05/15/2023] [Indexed: 07/02/2023]
Abstract
The elliptic (v_{2}) and triangular (v_{3}) azimuthal anisotropy coefficients in central ^{3}He+Au, d+Au, and p+Au collisions at sqrt[s_{NN}]=200 GeV are measured as a function of transverse momentum (p_{T}) at midrapidity (|η|<0.9), via the azimuthal angular correlation between two particles both at |η|<0.9. While the v_{2}(p_{T}) values depend on the colliding systems, the v_{3}(p_{T}) values are system independent within the uncertainties, suggesting an influence on eccentricity from subnucleonic fluctuations in these small-sized systems. These results also provide stringent constraints for the hydrodynamic modeling of these systems.
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Affiliation(s)
- M I Abdulhamid
- American University of Cairo, New Cairo 11835, New Cairo, Egypt
| | - B E Aboona
- Texas A&M University, College Station, Texas 77843
| | - J Adam
- Czech Technical University in Prague, FNSPE, Prague 115 19, Czech Republic
| | - J R Adams
- The Ohio State University, Columbus, Ohio 43210
| | - G Agakishiev
- Joint Institute for Nuclear Research, Dubna 141 980
| | - I Aggarwal
- Panjab University, Chandigarh 160014, India
| | | | - Z Ahammed
- Variable Energy Cyclotron Centre, Kolkata 700064, India
| | - A Aitbaev
- Joint Institute for Nuclear Research, Dubna 141 980
| | - I Alekseev
- Alikhanov Institute for Theoretical and Experimental Physics NRC "Kurchatov Institute", Moscow 117218
- National Research Nuclear University MEPhI, Moscow 115409
| | - D M Anderson
- Texas A&M University, College Station, Texas 77843
| | - A Aparin
- Joint Institute for Nuclear Research, Dubna 141 980
| | - S Aslam
- Indian Institute Technology, Patna, Bihar 801106, India
| | - J Atchison
- Abilene Christian University, Abilene, Texas 79699
| | | | - V Bairathi
- Instituto de Alta Investigación, Universidad de Tarapacá, Arica 1000000, Chile
| | - W Baker
- University of California, Riverside, California 92521
| | | | - K Barish
- University of California, Riverside, California 92521
| | - P Bhagat
- University of Jammu, Jammu 180001, India
| | - A Bhasin
- University of Jammu, Jammu 180001, India
| | - S Bhatta
- State University of New York, Stony Brook, New York 11794
| | - I G Bordyuzhin
- Alikhanov Institute for Theoretical and Experimental Physics NRC "Kurchatov Institute", Moscow 117218
| | | | - A V Brandin
- National Research Nuclear University MEPhI, Moscow 115409
| | - X Z Cai
- Shanghai Institute of Applied Physics, Chinese Academy of Sciences, Shanghai 201800
| | - H Caines
- Yale University, New Haven, Connecticut 06520
| | | | - D Cebra
- University of California, Davis, California 95616
| | - J Ceska
- Czech Technical University in Prague, FNSPE, Prague 115 19, Czech Republic
| | - I Chakaberia
- Lawrence Berkeley National Laboratory, Berkeley, California 94720
| | - B K Chan
- University of California, Los Angeles, California 90095
| | - Z Chang
- Indiana University, Bloomington, Indiana 47408
| | - A Chatterjee
- National Institute of Technology Durgapur, Durgapur - 713209, India
| | - D Chen
- University of California, Riverside, California 92521
| | - J Chen
- Shandong University, Qingdao, Shandong 266237
| | - J H Chen
- Fudan University, Shanghai, 200433
| | - Z Chen
- Shandong University, Qingdao, Shandong 266237
| | - J Cheng
- Tsinghua University, Beijing 100084
| | - Y Cheng
- University of California, Los Angeles, California 90095
| | | | - W Christie
- Brookhaven National Laboratory, Upton, New York 11973
| | - X Chu
- Brookhaven National Laboratory, Upton, New York 11973
| | - H J Crawford
- University of California, Berkeley, California 94720
| | - G Dale-Gau
- University of Illinois at Chicago, Chicago, Illinois 60607
| | - A Das
- Czech Technical University in Prague, FNSPE, Prague 115 19, Czech Republic
| | - M Daugherity
- Abilene Christian University, Abilene, Texas 79699
| | - T G Dedovich
- Joint Institute for Nuclear Research, Dubna 141 980
| | - I M Deppner
- University of Heidelberg, Heidelberg 69120, Germany
| | - A A Derevschikov
- NRC "Kurchatov Institute", Institute of High Energy Physics, Protvino 142281
| | - A Dhamija
- Panjab University, Chandigarh 160014, India
| | - L Di Carlo
- Wayne State University, Detroit, Michigan 48201
| | - L Didenko
- Brookhaven National Laboratory, Upton, New York 11973
| | - P Dixit
- Indian Institute of Science Education and Research (IISER), Berhampur 760010, India
| | - X Dong
- Lawrence Berkeley National Laboratory, Berkeley, California 94720
| | | | | | - J C Dunlop
- Brookhaven National Laboratory, Upton, New York 11973
| | - J Engelage
- University of California, Berkeley, California 94720
| | - G Eppley
- Rice University, Houston, Texas 77251
| | - S Esumi
- University of Tsukuba, Tsukuba, Ibaraki 305-8571, Japan
| | - O Evdokimov
- University of Illinois at Chicago, Chicago, Illinois 60607
| | - A Ewigleben
- Lehigh University, Bethlehem, Pennsylvania 18015
| | - O Eyser
- Brookhaven National Laboratory, Upton, New York 11973
| | - R Fatemi
- University of Kentucky, Lexington, Kentucky 40506-0055
| | - S Fazio
- University of Calabria & INFN-Cosenza, Rende 87036, Italy
| | - C J Feng
- National Cheng Kung University, Tainan 70101
| | - Y Feng
- Purdue University, West Lafayette, Indiana 47907
| | - E Finch
- Southern Connecticut State University, New Haven, Connecticut 06515
| | - Y Fisyak
- Brookhaven National Laboratory, Upton, New York 11973
| | - F A Flor
- Yale University, New Haven, Connecticut 06520
| | - C Fu
- Central China Normal University, Wuhan, Hubei 430079
| | - F Geurts
- Rice University, Houston, Texas 77251
| | - N Ghimire
- Temple University, Philadelphia, Pennsylvania 19122
| | - A Gibson
- Valparaiso University, Valparaiso, Indiana 46383
| | - K Gopal
- Indian Institute of Science Education and Research (IISER) Tirupati, Tirupati 517507, India
| | - X Gou
- Shandong University, Qingdao, Shandong 266237
| | - D Grosnick
- Valparaiso University, Valparaiso, Indiana 46383
| | - A Gupta
- University of Jammu, Jammu 180001, India
| | - A Hamed
- American University of Cairo, New Cairo 11835, New Cairo, Egypt
| | - Y Han
- Rice University, Houston, Texas 77251
| | - M D Harasty
- University of California, Davis, California 95616
| | - J W Harris
- Yale University, New Haven, Connecticut 06520
| | | | - W He
- Fudan University, Shanghai, 200433
| | - X H He
- Institute of Modern Physics, Chinese Academy of Sciences, Lanzhou, Gansu 730000
| | - Y He
- Shandong University, Qingdao, Shandong 266237
| | - C Hu
- Institute of Modern Physics, Chinese Academy of Sciences, Lanzhou, Gansu 730000
| | - Q Hu
- Institute of Modern Physics, Chinese Academy of Sciences, Lanzhou, Gansu 730000
| | - Y Hu
- Lawrence Berkeley National Laboratory, Berkeley, California 94720
| | - H Huang
- National Cheng Kung University, Tainan 70101
| | - H Z Huang
- University of California, Los Angeles, California 90095
| | - S L Huang
- State University of New York, Stony Brook, New York 11794
| | - T Huang
- University of Illinois at Chicago, Chicago, Illinois 60607
| | - X Huang
- Tsinghua University, Beijing 100084
| | - Y Huang
- Tsinghua University, Beijing 100084
| | - Y Huang
- Central China Normal University, Wuhan, Hubei 430079
| | - T J Humanic
- The Ohio State University, Columbus, Ohio 43210
| | - D Isenhower
- Abilene Christian University, Abilene, Texas 79699
| | - M Isshiki
- University of Tsukuba, Tsukuba, Ibaraki 305-8571, Japan
| | - W W Jacobs
- Indiana University, Bloomington, Indiana 47408
| | - A Jalotra
- University of Jammu, Jammu 180001, India
| | - C Jena
- Indian Institute of Science Education and Research (IISER) Tirupati, Tirupati 517507, India
| | - Y Ji
- Lawrence Berkeley National Laboratory, Berkeley, California 94720
| | - J Jia
- Brookhaven National Laboratory, Upton, New York 11973
- State University of New York, Stony Brook, New York 11794
| | - C Jin
- Rice University, Houston, Texas 77251
| | - X Ju
- University of Science and Technology of China, Hefei, Anhui 230026
| | - E G Judd
- University of California, Berkeley, California 94720
| | - S Kabana
- Instituto de Alta Investigación, Universidad de Tarapacá, Arica 1000000, Chile
| | - M L Kabir
- University of California, Riverside, California 92521
| | - D Kalinkin
- University of Kentucky, Lexington, Kentucky 40506-0055
| | - K Kang
- Tsinghua University, Beijing 100084
| | - D Kapukchyan
- University of California, Riverside, California 92521
| | - K Kauder
- Brookhaven National Laboratory, Upton, New York 11973
| | - H W Ke
- Brookhaven National Laboratory, Upton, New York 11973
| | - D Keane
- Kent State University, Kent, Ohio 44242
| | - A Kechechyan
- Joint Institute for Nuclear Research, Dubna 141 980
| | - M Kelsey
- Wayne State University, Detroit, Michigan 48201
| | - B Kimelman
- University of California, Davis, California 95616
| | - A Kiselev
- Brookhaven National Laboratory, Upton, New York 11973
| | - A G Knospe
- Lehigh University, Bethlehem, Pennsylvania 18015
| | - H S Ko
- Lawrence Berkeley National Laboratory, Berkeley, California 94720
| | - L Kochenda
- National Research Nuclear University MEPhI, Moscow 115409
| | | | - P Kravtsov
- National Research Nuclear University MEPhI, Moscow 115409
| | - L Kumar
- Panjab University, Chandigarh 160014, India
| | - S Kumar
- Institute of Modern Physics, Chinese Academy of Sciences, Lanzhou, Gansu 730000
| | | | - R Lacey
- State University of New York, Stony Brook, New York 11794
| | - J M Landgraf
- Brookhaven National Laboratory, Upton, New York 11973
| | - A Lebedev
- Brookhaven National Laboratory, Upton, New York 11973
| | - R Lednicky
- Joint Institute for Nuclear Research, Dubna 141 980
| | - J H Lee
- Brookhaven National Laboratory, Upton, New York 11973
| | - Y H Leung
- University of Heidelberg, Heidelberg 69120, Germany
| | - N Lewis
- Brookhaven National Laboratory, Upton, New York 11973
| | - C Li
- Shandong University, Qingdao, Shandong 266237
| | - W Li
- Rice University, Houston, Texas 77251
| | - X Li
- University of Science and Technology of China, Hefei, Anhui 230026
| | - Y Li
- University of Science and Technology of China, Hefei, Anhui 230026
| | - Y Li
- Tsinghua University, Beijing 100084
| | - Z Li
- University of Science and Technology of China, Hefei, Anhui 230026
| | - X Liang
- University of California, Riverside, California 92521
| | - Y Liang
- Kent State University, Kent, Ohio 44242
| | - T Lin
- Shandong University, Qingdao, Shandong 266237
| | - C Liu
- Institute of Modern Physics, Chinese Academy of Sciences, Lanzhou, Gansu 730000
| | - F Liu
- Central China Normal University, Wuhan, Hubei 430079
| | - G Liu
- South China Normal University, Guangzhou, Guangdong 510631
| | - H Liu
- Indiana University, Bloomington, Indiana 47408
| | - H Liu
- Central China Normal University, Wuhan, Hubei 430079
| | - L Liu
- Central China Normal University, Wuhan, Hubei 430079
| | - T Liu
- Yale University, New Haven, Connecticut 06520
| | - X Liu
- The Ohio State University, Columbus, Ohio 43210
| | - Y Liu
- Texas A&M University, College Station, Texas 77843
| | - Z Liu
- Central China Normal University, Wuhan, Hubei 430079
| | - T Ljubicic
- Brookhaven National Laboratory, Upton, New York 11973
| | - W J Llope
- Wayne State University, Detroit, Michigan 48201
| | - O Lomicky
- Czech Technical University in Prague, FNSPE, Prague 115 19, Czech Republic
| | - R S Longacre
- Brookhaven National Laboratory, Upton, New York 11973
| | - E M Loyd
- University of California, Riverside, California 92521
| | - T Lu
- Institute of Modern Physics, Chinese Academy of Sciences, Lanzhou, Gansu 730000
| | - N S Lukow
- Temple University, Philadelphia, Pennsylvania 19122
| | - X F Luo
- Central China Normal University, Wuhan, Hubei 430079
| | - V B Luong
- Joint Institute for Nuclear Research, Dubna 141 980
| | - L Ma
- Fudan University, Shanghai, 200433
| | - R Ma
- Brookhaven National Laboratory, Upton, New York 11973
| | - Y G Ma
- Fudan University, Shanghai, 200433
| | - N Magdy
- State University of New York, Stony Brook, New York 11794
| | - D Mallick
- National Institute of Science Education and Research, HBNI, Jatni 752050, India
| | | | - H S Matis
- Lawrence Berkeley National Laboratory, Berkeley, California 94720
| | - J A Mazer
- Rutgers University, Piscataway, New Jersey 08854
| | - G McNamara
- Wayne State University, Detroit, Michigan 48201
| | - K Mi
- Central China Normal University, Wuhan, Hubei 430079
| | - N G Minaev
- NRC "Kurchatov Institute", Institute of High Energy Physics, Protvino 142281
| | - B Mohanty
- National Institute of Science Education and Research, HBNI, Jatni 752050, India
| | - M M Mondal
- National Institute of Science Education and Research, HBNI, Jatni 752050, India
| | - I Mooney
- Yale University, New Haven, Connecticut 06520
| | - D A Morozov
- NRC "Kurchatov Institute", Institute of High Energy Physics, Protvino 142281
| | - A Mudrokh
- Joint Institute for Nuclear Research, Dubna 141 980
| | - M I Nagy
- ELTE Eötvös Loránd University, Budapest, Hungary H-1117
| | - A S Nain
- Panjab University, Chandigarh 160014, India
| | - J D Nam
- Temple University, Philadelphia, Pennsylvania 19122
| | - Md Nasim
- Indian Institute of Science Education and Research (IISER), Berhampur 760010, India
| | - D Neff
- University of California, Los Angeles, California 90095
| | - J M Nelson
- University of California, Berkeley, California 94720
| | - D B Nemes
- Yale University, New Haven, Connecticut 06520
| | - M Nie
- Shandong University, Qingdao, Shandong 266237
| | - G Nigmatkulov
- National Research Nuclear University MEPhI, Moscow 115409
| | - T Niida
- University of Tsukuba, Tsukuba, Ibaraki 305-8571, Japan
| | - R Nishitani
- University of Tsukuba, Tsukuba, Ibaraki 305-8571, Japan
| | - L V Nogach
- NRC "Kurchatov Institute", Institute of High Energy Physics, Protvino 142281
| | - T Nonaka
- University of Tsukuba, Tsukuba, Ibaraki 305-8571, Japan
| | - G Odyniec
- Lawrence Berkeley National Laboratory, Berkeley, California 94720
| | - A Ogawa
- Brookhaven National Laboratory, Upton, New York 11973
| | - S Oh
- Sejong University, Seoul, 05006, South Korea
| | - V A Okorokov
- National Research Nuclear University MEPhI, Moscow 115409
| | - K Okubo
- University of Tsukuba, Tsukuba, Ibaraki 305-8571, Japan
| | - B S Page
- Brookhaven National Laboratory, Upton, New York 11973
| | - R Pak
- Brookhaven National Laboratory, Upton, New York 11973
| | - J Pan
- Texas A&M University, College Station, Texas 77843
| | - A Pandav
- National Institute of Science Education and Research, HBNI, Jatni 752050, India
| | - A K Pandey
- Institute of Modern Physics, Chinese Academy of Sciences, Lanzhou, Gansu 730000
| | | | - T Pani
- Rutgers University, Piscataway, New Jersey 08854
| | - P Parfenov
- National Research Nuclear University MEPhI, Moscow 115409
| | - A Paul
- University of California, Riverside, California 92521
| | - C Perkins
- University of California, Berkeley, California 94720
| | - B R Pokhrel
- Temple University, Philadelphia, Pennsylvania 19122
| | - M Posik
- Temple University, Philadelphia, Pennsylvania 19122
| | - T Protzman
- Lehigh University, Bethlehem, Pennsylvania 18015
| | - N K Pruthi
- Panjab University, Chandigarh 160014, India
| | - J Putschke
- Wayne State University, Detroit, Michigan 48201
| | - Z Qin
- Tsinghua University, Beijing 100084
| | - H Qiu
- Institute of Modern Physics, Chinese Academy of Sciences, Lanzhou, Gansu 730000
| | - A Quintero
- Temple University, Philadelphia, Pennsylvania 19122
| | - C Racz
- University of California, Riverside, California 92521
| | | | - N Raha
- Wayne State University, Detroit, Michigan 48201
| | - R L Ray
- University of Texas, Austin, Texas 78712
| | - H G Ritter
- Lawrence Berkeley National Laboratory, Berkeley, California 94720
| | | | | | | | - D Roy
- Rutgers University, Piscataway, New Jersey 08854
| | - L Ruan
- Brookhaven National Laboratory, Upton, New York 11973
| | - A K Sahoo
- Indian Institute of Science Education and Research (IISER), Berhampur 760010, India
| | - N R Sahoo
- Shandong University, Qingdao, Shandong 266237
| | - H Sako
- University of Tsukuba, Tsukuba, Ibaraki 305-8571, Japan
| | - S Salur
- Rutgers University, Piscataway, New Jersey 08854
| | - E Samigullin
- Alikhanov Institute for Theoretical and Experimental Physics NRC "Kurchatov Institute", Moscow 117218
| | - S Sato
- University of Tsukuba, Tsukuba, Ibaraki 305-8571, Japan
| | - W B Schmidke
- Brookhaven National Laboratory, Upton, New York 11973
| | - N Schmitz
- Max-Planck-Institut für Physik, Munich 80805, Germany
| | - J Seger
- Creighton University, Omaha, Nebraska 68178
| | - R Seto
- University of California, Riverside, California 92521
| | - P Seyboth
- Max-Planck-Institut für Physik, Munich 80805, Germany
| | - N Shah
- Indian Institute Technology, Patna, Bihar 801106, India
| | - E Shahaliev
- Joint Institute for Nuclear Research, Dubna 141 980
| | | | - T Shao
- Fudan University, Shanghai, 200433
| | - M Sharma
- University of Jammu, Jammu 180001, India
| | - N Sharma
- Indian Institute of Science Education and Research (IISER), Berhampur 760010, India
| | - R Sharma
- Indian Institute of Science Education and Research (IISER) Tirupati, Tirupati 517507, India
| | - S R Sharma
- Indian Institute of Science Education and Research (IISER) Tirupati, Tirupati 517507, India
| | | | - D Y Shen
- Fudan University, Shanghai, 200433
| | - K Shen
- University of Science and Technology of China, Hefei, Anhui 230026
| | - S S Shi
- Central China Normal University, Wuhan, Hubei 430079
| | - Y Shi
- Shandong University, Qingdao, Shandong 266237
| | - Q Y Shou
- Fudan University, Shanghai, 200433
| | - F Si
- University of Science and Technology of China, Hefei, Anhui 230026
| | - J Singh
- Panjab University, Chandigarh 160014, India
| | - S Singha
- Institute of Modern Physics, Chinese Academy of Sciences, Lanzhou, Gansu 730000
| | - P Sinha
- Indian Institute of Science Education and Research (IISER) Tirupati, Tirupati 517507, India
| | - M J Skoby
- Ball State University, Muncie, Indiana, 47306
- Purdue University, West Lafayette, Indiana 47907
| | - Y Söhngen
- University of Heidelberg, Heidelberg 69120, Germany
| | - Y Song
- Yale University, New Haven, Connecticut 06520
| | - B Srivastava
- Purdue University, West Lafayette, Indiana 47907
| | | | - D J Stewart
- Wayne State University, Detroit, Michigan 48201
| | - M Strikhanov
- National Research Nuclear University MEPhI, Moscow 115409
| | | | - Y Su
- University of Science and Technology of China, Hefei, Anhui 230026
| | - C Sun
- State University of New York, Stony Brook, New York 11794
| | - X Sun
- Institute of Modern Physics, Chinese Academy of Sciences, Lanzhou, Gansu 730000
| | - Y Sun
- University of Science and Technology of China, Hefei, Anhui 230026
| | - Y Sun
- Huzhou University, Huzhou, Zhejiang 313000
| | - B Surrow
- Temple University, Philadelphia, Pennsylvania 19122
| | - D N Svirida
- Alikhanov Institute for Theoretical and Experimental Physics NRC "Kurchatov Institute", Moscow 117218
| | - Z W Sweger
- University of California, Davis, California 95616
| | - A Tamis
- Yale University, New Haven, Connecticut 06520
| | - A H Tang
- Brookhaven National Laboratory, Upton, New York 11973
| | - Z Tang
- University of Science and Technology of China, Hefei, Anhui 230026
| | - A Taranenko
- National Research Nuclear University MEPhI, Moscow 115409
| | - T Tarnowsky
- Michigan State University, East Lansing, Michigan 48824
| | - J H Thomas
- Lawrence Berkeley National Laboratory, Berkeley, California 94720
| | - D Tlusty
- Creighton University, Omaha, Nebraska 68178
| | - T Todoroki
- University of Tsukuba, Tsukuba, Ibaraki 305-8571, Japan
| | - M V Tokarev
- Joint Institute for Nuclear Research, Dubna 141 980
| | - C A Tomkiel
- Lehigh University, Bethlehem, Pennsylvania 18015
| | - S Trentalange
- University of California, Los Angeles, California 90095
| | - R E Tribble
- Texas A&M University, College Station, Texas 77843
| | - P Tribedy
- Brookhaven National Laboratory, Upton, New York 11973
| | - O D Tsai
- Brookhaven National Laboratory, Upton, New York 11973
- University of California, Los Angeles, California 90095
| | - C Y Tsang
- Brookhaven National Laboratory, Upton, New York 11973
- Kent State University, Kent, Ohio 44242
| | - Z Tu
- Brookhaven National Laboratory, Upton, New York 11973
| | - T Ullrich
- Brookhaven National Laboratory, Upton, New York 11973
| | - D G Underwood
- Argonne National Laboratory, Argonne, Illinois 60439
- Valparaiso University, Valparaiso, Indiana 46383
| | - I Upsal
- Rice University, Houston, Texas 77251
| | - G Van Buren
- Brookhaven National Laboratory, Upton, New York 11973
| | - A N Vasiliev
- National Research Nuclear University MEPhI, Moscow 115409
- NRC "Kurchatov Institute", Institute of High Energy Physics, Protvino 142281
| | - V Verkest
- Wayne State University, Detroit, Michigan 48201
| | - F Videbæk
- Brookhaven National Laboratory, Upton, New York 11973
| | - S Vokal
- Joint Institute for Nuclear Research, Dubna 141 980
| | | | - F Wang
- Purdue University, West Lafayette, Indiana 47907
| | - G Wang
- University of California, Los Angeles, California 90095
| | - J S Wang
- Huzhou University, Huzhou, Zhejiang 313000
| | - X Wang
- Shandong University, Qingdao, Shandong 266237
| | - Y Wang
- University of Science and Technology of China, Hefei, Anhui 230026
| | - Y Wang
- Central China Normal University, Wuhan, Hubei 430079
| | - Y Wang
- Tsinghua University, Beijing 100084
| | - Z Wang
- Shandong University, Qingdao, Shandong 266237
| | - J C Webb
- Brookhaven National Laboratory, Upton, New York 11973
| | | | - G D Westfall
- Michigan State University, East Lansing, Michigan 48824
| | - H Wieman
- Lawrence Berkeley National Laboratory, Berkeley, California 94720
| | - G Wilks
- University of Illinois at Chicago, Chicago, Illinois 60607
| | - S W Wissink
- Indiana University, Bloomington, Indiana 47408
| | - J Wu
- Central China Normal University, Wuhan, Hubei 430079
| | - J Wu
- Institute of Modern Physics, Chinese Academy of Sciences, Lanzhou, Gansu 730000
| | - X Wu
- University of California, Los Angeles, California 90095
| | - Y Wu
- University of California, Riverside, California 92521
| | - B Xi
- Shanghai Institute of Applied Physics, Chinese Academy of Sciences, Shanghai 201800
| | - Z G Xiao
- Tsinghua University, Beijing 100084
| | - G Xie
- University of Chinese Academy of Sciences, Beijing, 101408
| | - W Xie
- Purdue University, West Lafayette, Indiana 47907
| | - H Xu
- Huzhou University, Huzhou, Zhejiang 313000
| | - N Xu
- Lawrence Berkeley National Laboratory, Berkeley, California 94720
| | - Q H Xu
- Shandong University, Qingdao, Shandong 266237
| | - Y Xu
- Shandong University, Qingdao, Shandong 266237
| | - Y Xu
- Central China Normal University, Wuhan, Hubei 430079
| | - Z Xu
- Brookhaven National Laboratory, Upton, New York 11973
| | - Z Xu
- University of California, Los Angeles, California 90095
| | - G Yan
- Shandong University, Qingdao, Shandong 266237
| | - Z Yan
- State University of New York, Stony Brook, New York 11794
| | - C Yang
- Shandong University, Qingdao, Shandong 266237
| | - Q Yang
- Shandong University, Qingdao, Shandong 266237
| | - S Yang
- South China Normal University, Guangzhou, Guangdong 510631
| | - Y Yang
- National Cheng Kung University, Tainan 70101
| | - Z Ye
- Rice University, Houston, Texas 77251
| | - Z Ye
- University of Illinois at Chicago, Chicago, Illinois 60607
| | - L Yi
- Shandong University, Qingdao, Shandong 266237
| | - K Yip
- Brookhaven National Laboratory, Upton, New York 11973
| | - Y Yu
- Shandong University, Qingdao, Shandong 266237
| | - W Zha
- University of Science and Technology of China, Hefei, Anhui 230026
| | - C Zhang
- State University of New York, Stony Brook, New York 11794
| | - D Zhang
- Central China Normal University, Wuhan, Hubei 430079
| | - J Zhang
- Shandong University, Qingdao, Shandong 266237
| | - S Zhang
- University of Science and Technology of China, Hefei, Anhui 230026
| | - W Zhang
- South China Normal University, Guangzhou, Guangdong 510631
| | - X Zhang
- Institute of Modern Physics, Chinese Academy of Sciences, Lanzhou, Gansu 730000
| | - Y Zhang
- Institute of Modern Physics, Chinese Academy of Sciences, Lanzhou, Gansu 730000
| | - Y Zhang
- University of Science and Technology of China, Hefei, Anhui 230026
| | - Y Zhang
- Central China Normal University, Wuhan, Hubei 430079
| | - Z J Zhang
- National Cheng Kung University, Tainan 70101
| | - Z Zhang
- Brookhaven National Laboratory, Upton, New York 11973
| | - Z Zhang
- University of Illinois at Chicago, Chicago, Illinois 60607
| | - F Zhao
- Institute of Modern Physics, Chinese Academy of Sciences, Lanzhou, Gansu 730000
| | - J Zhao
- Fudan University, Shanghai, 200433
| | - M Zhao
- Brookhaven National Laboratory, Upton, New York 11973
| | - C Zhou
- Fudan University, Shanghai, 200433
| | - J Zhou
- University of Science and Technology of China, Hefei, Anhui 230026
| | - S Zhou
- Central China Normal University, Wuhan, Hubei 430079
| | - Y Zhou
- Central China Normal University, Wuhan, Hubei 430079
| | - X Zhu
- Tsinghua University, Beijing 100084
| | - M Zurek
- Argonne National Laboratory, Argonne, Illinois 60439
- Brookhaven National Laboratory, Upton, New York 11973
| | - M Zyzak
- Frankfurt Institute for Advanced Studies FIAS, Frankfurt 60438, Germany
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Guo Y, Sun X, Shi W, Liu Z, Wu Y. Cetaceans as Bioindicators to Assess Alkylphenol Exposure and Hormone-Disrupting Effects in the South China Sea. Environ Sci Technol 2023. [PMID: 37315293 DOI: 10.1021/acs.est.3c01381] [Citation(s) in RCA: 2] [Impact Index Per Article: 2.0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [Track Full Text] [Subscribe] [Scholar Register] [Indexed: 06/16/2023]
Abstract
Alkylphenols (APs) represent one of the highest exposure levels among endocrine disrupting chemicals (EDCs) in the South China Sea (SCS) due to their extensive use as plastic additives. The concerns about EDCs, including APs, have been reiterated since the surge in plastic waste from the COVID-19 response, but far less is known about the response of AP loadings in the SCS to emerging public policies and activities, including the COVID-19 pandemic. Here, we used cetaceans as bioindicators for monitoring two major APs, 4-nonylphenol (4-NP) and 4-tert-octylphenol (4-t-OP), in nine stranded cetacean species (n = 110) in the SCS between 2004 and 2021. Prior to the COVID-19, APs loads showed decreasing temporal trends for finless porpoises and humpback dolphins, most likely due to China's restrictions on AP use or a shift in dominant prey species. Unexpectedly, AP loads continued to decline after the COVID-19 outbreak, probably due to a temporal-lag response of marine AP fluxes to the pandemic. The health risk assessments based on hormone biomarkers and toxicity thresholds suggest the potential adverse effects of APs on cetaceans, while recent declines in APs, though limited, may mitigate the detrimental impacts.
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Affiliation(s)
- Yongwei Guo
- School of Marine Sciences, Zhuhai Key Laboratory of Marine Bioresources and Environment, Guangdong Provincial Key Laboratory of Marine Resources and Coastal Engineering, Pearl River Estuary Marine Ecosystem Research Station, Ministry of Education, Sun Yat-Sen University, Southern Marine Science and Engineering Guangdong Laboratory, Zhuhai 519082, China
| | - Xian Sun
- School of Marine Sciences, Zhuhai Key Laboratory of Marine Bioresources and Environment, Guangdong Provincial Key Laboratory of Marine Resources and Coastal Engineering, Pearl River Estuary Marine Ecosystem Research Station, Ministry of Education, Sun Yat-Sen University, Southern Marine Science and Engineering Guangdong Laboratory, Zhuhai 519082, China
| | - Wei Shi
- School of Marine Sciences, Zhuhai Key Laboratory of Marine Bioresources and Environment, Guangdong Provincial Key Laboratory of Marine Resources and Coastal Engineering, Pearl River Estuary Marine Ecosystem Research Station, Ministry of Education, Sun Yat-Sen University, Southern Marine Science and Engineering Guangdong Laboratory, Zhuhai 519082, China
| | - Zhiwei Liu
- School of Ecology, Sun Yat-Sen University, Guangzhou 510275, China
| | - Yuping Wu
- School of Marine Sciences, Zhuhai Key Laboratory of Marine Bioresources and Environment, Guangdong Provincial Key Laboratory of Marine Resources and Coastal Engineering, Pearl River Estuary Marine Ecosystem Research Station, Ministry of Education, Sun Yat-Sen University, Southern Marine Science and Engineering Guangdong Laboratory, Zhuhai 519082, China
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139
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Hao JN, Kong Z, Liu Z, Wang YH, Pan ZB, Wang J. [Analysis of safety and factors influencing the surgical efficacy of benign biliary stenosis treated with autologous gastric flap repair with the vascular tip]. Zhonghua Yi Xue Za Zhi 2023; 103:1707-1713. [PMID: 37302861 DOI: 10.3760/cma.j.cn112137-20230209-00182] [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: 06/13/2023]
Abstract
Objective: To investigate the complication rate and risk factors associated with using autologous gastric flap tissue with a vascular tip to treat benign biliary strictures. Methods: A retrospective analysis was conducted on clinical data of 92 patients with benign biliary stenosis who applied autologous gastric flap tissue to repair the stenosis at the PLA General Hospital from January 2006 to May 2022. Among them, there were 40 males and 52 females, aged from 25 to 79 (50.5±12.9) years. The perioperative clinical data of the patients were recorded(Body Mass Index、preoperative platelets et.), and a multivariate logistic regression model was used to analyze the factors influencing postoperative complications. Long-term follow-up was conducted to evaluate the long-term efficacy of autologous gastric flap tissue with vascular tissues for benign biliary stenosis surgery. Results: The incidence of recent postoperative complications in patients was 26.1%, and univariate analysis showed that preoperative bile-intestinal anastomosis, positive intraoperative bile bacterial culture, low preoperative hemoglobin, and low preoperative platelet count were significantly associated with the occurrence of postoperative complications after biliary stenosis repair with a vascularized gastric flap (P<0.05). Multifactorial analysis showed that low preoperative platelets (OR=0.990, 95%CI: 0.982-0.998, P=0.015), low preoperative hemoglobin (OR=4.953, 95%CI: 1.405-15.010, P=0.012) and positive intraoperative bile bacterial culture (OR=19.338, 95%CI: 3.618-103.360, P<0.001) were independent risk factors for the development of postoperative complications. The excellent long-term follow-up rate of patients was 92.0%. Conclusions: The procedure of repairing benign biliary stenosis with a vascularized gastric flap preserves the function of the sphincter of Oddi and reconstructs the normal physiological passage of the bile duct. This procedure is safe and feasible and provides a reliable option for the surgical treatment of bile duct injury and bile duct stenosis.
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Affiliation(s)
- J N Hao
- Medical School of Chinese PLA, Beijing 100853,China Faculty of Hepato-Pancreato-Biliary Surgery, the First Medical Center, Chinese PLA General Hospital, Beijing 100853,China
| | - Z Kong
- Faculty of Hepato-Pancreato-Biliary Surgery, the First Medical Center, Chinese PLA General Hospital, Beijing 100853,China
| | - Z Liu
- Faculty of Hepato-Pancreato-Biliary Surgery, the First Medical Center, Chinese PLA General Hospital, Beijing 100853,China
| | - Y H Wang
- The fourth center of the PLA General Hospital, Beijing 100037,China
| | - Z B Pan
- 68207 Unit PLA, Jiayuguan 735100,China
| | - J Wang
- Faculty of Hepato-Pancreato-Biliary Surgery, the First Medical Center, Chinese PLA General Hospital, Beijing 100853,China
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140
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Yao Z, Jiang F, Luo H, Zhou J, Shi W, Xu S, Zhang Y, Dai F, Li X, Liu Z, Wang X. Causal Effects of Blood Lipid Traits on Inflammatory Bowel Diseases: A Mendelian Randomization Study. Metabolites 2023; 13:730. [PMID: 37367888 DOI: 10.3390/metabo13060730] [Citation(s) in RCA: 2] [Impact Index Per Article: 2.0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 04/19/2023] [Revised: 05/28/2023] [Accepted: 06/06/2023] [Indexed: 06/28/2023] Open
Abstract
Inflammatory bowel diseases (IBDs), including Crohn's disease (CD) and ulcerative colitis (UC), have become a global health problem with a rapid growth of incidence in newly industrialized countries. Observational studies have recognized associations between blood lipid traits and IBDs, but the causality still remains unclear. To determine the causal effects of blood lipid traits, including triglycerides (TG), total cholesterol (TC), high-density lipoprotein cholesterol (HDL-C), and low-density lipoprotein cholesterol (LDL-C) on IBDs, two-sample Mendelian randomization (MR) analyses were conducted using the summary-level genome-wide association study (GWAS) statistics of blood lipid traits and IBDs. Our univariable MR using multiplicative random-effect inverse-variance weight (IVW) method identified TC (OR: 0.674; 95% CI: 0.554, 0.820; p < 0.00625) and LDL-C (OR: 0.685; 95% CI: 0.546, 0.858; p < 0.00625) as protective factors of UC. The result of our multivariable MR analysis further provided suggestive evidence of the protective effect of TC on UC risk (OR: 0.147; 95% CI: 0.025, 0.883; p < 0.05). Finally, our MR-BMA analysis prioritized TG (MIP: 0.336; θ^MACE: -0.025; PP: 0.31; θ^λ: -0.072) and HDL-C (MIP: 0.254; θ^MACE: -0.011; PP: 0.232; θ^λ: -0.04) for CD and TC (MIP: 0.721; θ^MACE: -0.257; PP: 0.648; θ^λ: -0.356) and LDL-C (MIP: 0.31; θ^MACE: -0.095; PP: 0.256; θ^λ: -0.344) for UC as the top-ranked protective factors. In conclusion, the causal effect of TC for UC prevention was robust across all of our MR approaches, which provide the first evidence that genetically determined TC is causally associated with reduced risk of UC. The finding of this study provides important insights into the metabolic regulation of IBDs and potential metabolites targeting strategies for IBDs intervention.
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Affiliation(s)
- Ziqin Yao
- Department of Blood Transfusion, Sir Run Run Shaw Hospital, School of Public Health, Zhejiang University School of Medicine, Hangzhou 310058, China
| | - Feiyu Jiang
- Department of Blood Transfusion, Sir Run Run Shaw Hospital, School of Public Health, Zhejiang University School of Medicine, Hangzhou 310058, China
| | - Hongbin Luo
- Department of Blood Transfusion, Sir Run Run Shaw Hospital, School of Public Health, Zhejiang University School of Medicine, Hangzhou 310058, China
| | - Jiahui Zhou
- Department of Blood Transfusion, Sir Run Run Shaw Hospital, School of Public Health, Zhejiang University School of Medicine, Hangzhou 310058, China
| | - Wanting Shi
- Department of Blood Transfusion, Sir Run Run Shaw Hospital, School of Public Health, Zhejiang University School of Medicine, Hangzhou 310058, China
| | - Shoufang Xu
- Department of Blood Transfusion, Sir Run Run Shaw Hospital, School of Public Health, Zhejiang University School of Medicine, Hangzhou 310058, China
| | - Yingying Zhang
- Department of Blood Transfusion, Sir Run Run Shaw Hospital, School of Public Health, Zhejiang University School of Medicine, Hangzhou 310058, China
| | - Feng Dai
- Department of Blood Transfusion, Sir Run Run Shaw Hospital, School of Public Health, Zhejiang University School of Medicine, Hangzhou 310058, China
| | - Xinran Li
- Department of Blood Transfusion, Sir Run Run Shaw Hospital, School of Public Health, Zhejiang University School of Medicine, Hangzhou 310058, China
| | - Zhiwei Liu
- Department of Blood Transfusion, Sir Run Run Shaw Hospital, School of Public Health, Zhejiang University School of Medicine, Hangzhou 310058, China
| | - Xinhui Wang
- Department of Blood Transfusion, Sir Run Run Shaw Hospital, School of Public Health, Zhejiang University School of Medicine, Hangzhou 310058, China
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141
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Liu MF, Ma RX, Cao XB, Zhang H, Zhou SH, Jiang WH, Jiang Y, Sun JW, Yang QT, Li XZ, Sun YN, Shi L, Wang M, Song XC, Chen FQ, Zhang XS, Wei HQ, Yu SQ, Zhu DD, Ba L, Cao ZW, Xiao XP, Wei X, Lin ZH, Chen FH, Shan CG, Wang GK, Ye J, Qu SH, Zhao CQ, Wang ZL, Li HB, Liu F, Cui XB, Ye SN, Liu Z, Xu Y, Cai X, Hang W, Zhang RX, Zhao YL, Yu GD, Shi GG, Lu MP, Shen Y, Zhao YT, Pei JH, Xie SB, Yu LG, Liu YH, Gu SS, Yang YC, Cheng L, Liu JF. [Incidence and prognosis of olfactory and gustatory dysfunctions related to infection of SARS-CoV-2 Omicron strain: a national multi-center survey of 35 566 population]. Zhonghua Er Bi Yan Hou Tou Jing Wai Ke Za Zhi 2023; 58:579-588. [PMID: 37339898 DOI: 10.3760/cma.j.cn115330-20230316-00117] [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: 06/22/2023]
Abstract
Objective: This cross-sectional investigation aimed to determine the incidence, clinical characteristics, prognosis, and related risk factors of olfactory and gustatory dysfunctions related to infection with the SARS-CoV-2 Omicron strain in mainland China. Methods: Data of patients with SARS-CoV-2 from December 28, 2022, to February 21, 2023, were collected through online and offline questionnaires from 45 tertiary hospitals and one center for disease control and prevention in mainland China. The questionnaire included demographic information, previous health history, smoking and alcohol drinking, SARS-CoV-2 vaccination, olfactory and gustatory function before and after infection, other symptoms after infection, as well as the duration and improvement of olfactory and gustatory dysfunction. The self-reported olfactory and gustatory functions of patients were evaluated using the Olfactory VAS scale and Gustatory VAS scale. Results: A total of 35 566 valid questionnaires were obtained, revealing a high incidence of olfactory and taste dysfunctions related to infection with the SARS-CoV-2 Omicron strain (67.75%). Females(χ2=367.013, P<0.001) and young people(χ2=120.210, P<0.001) were more likely to develop these dysfunctions. Gender(OR=1.564, 95%CI: 1.487-1.645), SARS-CoV-2 vaccination status (OR=1.334, 95%CI: 1.164-1.530), oral health status (OR=0.881, 95%CI: 0.839-0.926), smoking history (OR=1.152, 95%CI=1.080-1.229), and drinking history (OR=0.854, 95%CI: 0.785-0.928) were correlated with the occurrence of olfactory and taste dysfunctions related to SARS-CoV-2(above P<0.001). 44.62% (4 391/9 840) of the patients who had not recovered their sense of smell and taste also suffered from nasal congestion, runny nose, and 32.62% (3 210/9 840) suffered from dry mouth and sore throat. The improvement of olfactory and taste functions was correlated with the persistence of accompanying symptoms(χ2=10.873, P=0.001). The average score of olfactory and taste VAS scale was 8.41 and 8.51 respectively before SARS-CoV-2 infection, but decreased to3.69 and 4.29 respectively after SARS-CoV-2 infection, and recovered to 5.83and 6.55 respectively at the time of the survey. The median duration of olfactory and gustatory dysfunctions was 15 days and 12 days, respectively, with 0.5% (121/24 096) of patients experiencing these dysfunctions for more than 28 days. The overall self-reported improvement rate of smell and taste dysfunctions was 59.16% (14 256/24 096). Gender(OR=0.893, 95%CI: 0.839-0.951), SARS-CoV-2 vaccination status (OR=1.334, 95%CI: 1.164-1.530), history of head and facial trauma(OR=1.180, 95%CI: 1.036-1.344, P=0.013), nose (OR=1.104, 95%CI: 1.042-1.171, P=0.001) and oral (OR=1.162, 95%CI: 1.096-1.233) health status, smoking history(OR=0.765, 95%CI: 0.709-0.825), and the persistence of accompanying symptoms (OR=0.359, 95%CI: 0.332-0.388) were correlated with the recovery of olfactory and taste dysfunctions related to SARS-CoV-2 (above P<0.001 except for the indicated values). Conclusion: The incidence of olfactory and taste dysfunctions related to infection with the SARS-CoV-2 Omicron strain is high in mainland China, with females and young people more likely to develop these dysfunctions. Active and effective intervention measures may be required for cases that persist for a long time. The recovery of olfactory and taste functions is influenced by several factors, including gender, SARS-CoV-2 vaccination status, history of head and facial trauma, nasal and oral health status, smoking history, and persistence of accompanying symptoms.
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Affiliation(s)
- M F Liu
- Graduate School of Beijing University of Chinese Medicine, Beijing 100029, China Department of Otorhinolaryngology Head and Neck Surgery, China-Japan Friendship Hospital, Beijing 100029, China
| | - R X Ma
- Department of Otorhinolaryngology Head and Neck Surgery, the First People's Hospital of Yinchuan, Yinchuan 750001, China
| | - X B Cao
- Department of Otorhinolaryngology, the First People's Hospital of Yunnan Province, Kunming 650100, China
| | - H Zhang
- Department of Otorhinolaryngology Head and Neck Surgery, the First Affiliated Hospital of Xinjiang Medical University, Urumqi 830054, China
| | - S H Zhou
- Department of Otorhinolaryngology Head and Neck Surgery, the First Affiliated Hospital of Zhejiang University School of Medicine, Hangzhou 310003, China
| | - W H Jiang
- Department of Otorhinolaryngology Head and Neck Surgery, Xiangya Hospital Central South University, Changsha 410008, China
| | - Y Jiang
- Department of Otorhinolaryngology Head and Neck Surgery, the Affiliated Hospital of Qingdao University, Qingdao 266000, China
| | - J W Sun
- Department of Otorhinolaryngology Head and Neck Surgery, the First Affiliated Hospital of USTC, Hefei 230001, China
| | - Q T Yang
- Department of Otorhinolaryngology Head and Neck Surgery, the Third Affiliated Hospital of Sun Yat-sen University, Guangzhou 510630, China
| | - X Z Li
- Department of Otorhinolaryngology Head and Neck Surgery, Qilu Hospital of Shandong University, Jinan 250012, China
| | - Y N Sun
- Department of Otorhinolaryngology Head and Neck Surgery, the Second Affiliated Hospital of Harbin Medical University, Harbin 150001, China
| | - L Shi
- Department of Rhinology and Allergy, Shandong Provincial ENT Hospital, Shandong University, Jinan 250299, China
| | - M Wang
- Department of Otorhinolaryngology Head and Neck Surgery, Peking University People's Hospital, Beijing 100032, China
| | - X C Song
- Department of Otorhinolaryngology Head and Neck Surgery, Yantai Yuhuangding Hospital, Qingdao University, Yantai 264000, China
| | - F Q Chen
- Department of Otorhinolaryngology Head and Neck Surgery, Xijing Hospital, the Fourth Military Medical University, Xi'an 710032, China
| | - X S Zhang
- Gansu Provincial Center for Disease Control and Prevention, Lanzhou 730000, China
| | - H Q Wei
- Department of Otorhinolaryngology Head and Neck Surgery, the First Affiliated Hospital of China Medical University, Shenyang 110001, China
| | - S Q Yu
- Department of Otorhinolaryngology Head and Neck Surgery, Tongji Hospital, Tongji Medical University, Shanghai 200065, China
| | - D D Zhu
- Department of Otorhinolaryngology Head and Neck Surgery, China-Japan Union Hospital of Jilin University, Changchun 130033, China
| | - L Ba
- Department of Otorhinolaryngology Head and Neck Surgery, Xizang Autonomous Region People's Hospital, Lasa 850000, China
| | - Z W Cao
- Department of Otorhinolaryngology Head and Neck Surgery, Shengjing Hospital of China Medical University, Shenyang 110004, China
| | - X P Xiao
- Department of Otorhinolaryngology Head and Neck Surgery, Hunan Provincial People's Hospital, Changsha 410005, China
| | - X Wei
- Department of Otorhinolaryngology Head and Neck Surgery, Hainan General Hospital, Hainan Affiliated Hospital of Hainan Medical University, Haikou 570311, China
| | - Z H Lin
- Department of Otorhinolaryngology Head and Neck Surgery, the Second Affiliated Hospital, College of Medicine, Zhejiang University, Hangzhou 310009, China
| | - F H Chen
- Department of Otorhinolaryngology Head and Neck Surgery, the First Affiliated Hospital, Sun Yat-sen University, Guangzhou 510080, China
| | - C G Shan
- Department of Otorhinolaryngology Head and Neck Surgery, the Second Hospital of Hebei Medical University, Shijiazhuang 050000, China
| | - G K Wang
- Department of Otorhinolaryngology Head and Neck Surgery, Henan Provincial People's Hospital, Zhengzhou 450003, China
| | - J Ye
- Department of Otorhinolaryngology Head and Neck Surgery, the First Affiliated Hospital of Nanchang University, Nanchang 330006, China
| | - S H Qu
- Department of Otorhinolaryngology Head and Neck Surgery, Guangxi Zhuang Autonomous Region People's Hospital, Nanning 530021, China
| | - C Q Zhao
- Department of Otorhinolaryngology Head and Neck Surgery, Shanxi Medical University Affiliated Second Hospital, Taiyuan 030001, China
| | - Z L Wang
- Department of Otorhinolaryngology Head and Neck Surgery, XuanWu Hospital, Capital Medical University, Beijing 100053, China
| | - H B Li
- Department of Otorhinolaryngology Head and Neck Surgery, Eye, Ear, Nose and Throat Hospital, Shanghai Medical College, Fudan University, Shanghai 200031, China
| | - F Liu
- Department of Otorhinolaryngology Head and Neck Surgery, West China Hospital, Sichuan University, Chengdu 610041, China
| | - X B Cui
- Department of Otorhinolaryngology Head and Neck Surgery, Affiliated Hospital of Inner Mongolia Medical University, Hohhot 010059, China
| | - S N Ye
- Department of Otorhinolaryngology Head and Neck Surgery, the First Affiliated Hospital of Fujian Medical University, Fuzhou 350005, China
| | - Z Liu
- Department of Otorhinolaryngology Head and Neck Surgery, Tongji Hospital, Tongji Medical College, Huazhong University of Science and Technology, Wuhan 430030, China
| | - Y Xu
- Department of Otorhinolaryngology Head and Neck Surgery, Renmin Hospital of Wuhan University, Wuhan 430060, China
| | - X Cai
- Department of Otorhinolaryngology Head and Neck Surgery, Qinghai Provincial People's Hospital, Xining 810000, China
| | - W Hang
- Department of Otorhinolaryngology Head and Neck Surgery, Tianjin Huanhu Hospital, Tianjin 300350, China
| | - R X Zhang
- Department of Otorhinolaryngology Head and Neck Surgery, Huadong Hospital Affiliated to Fudan University, Shanghai 200040, China
| | - Y L Zhao
- Department of Otorhinolaryngology Head and Neck Surgery, the First Affiliated Hospital of Zhengzhou University, Zhengzhou 450052, China
| | - G D Yu
- Department of Otorhinolaryngology Head and Neck Surgery, Affiliated Hospital of Guizhou Medical University, Guiyang 550004, China
| | - G G Shi
- Department of Otorhinolaryngology Head and Neck Surgery, Shandong Provincial Hospital, Affiliated to Shandong First Medical University, Jinan 250021, China
| | - M P Lu
- Department of Otorhinolaryngology, the First Affiliated Hospital, Nanjing Medical University, Nanjing 210029, China
| | - Y Shen
- Department of Otorhinolaryngology Head and Neck Surgery, the First Affiliated Hospital of Chongqing Medical University, Chongqing 400016, China
| | - Y T Zhao
- Department of Otorhinolaryngology Head and Neck Surgery, the First People's Hospital of Yinchuan, Yinchuan 750001, China
| | - J H Pei
- Department of Otorhinolaryngology, the First People's Hospital of Yunnan Province, Kunming 650100, China
| | - S B Xie
- Department of Otorhinolaryngology Head and Neck Surgery, Xiangya Hospital Central South University, Changsha 410008, China
| | - L G Yu
- Department of Otorhinolaryngology Head and Neck Surgery, the Affiliated Hospital of Qingdao University, Qingdao 266000, China
| | - Y H Liu
- Department of Otorhinolaryngology Head and Neck Surgery, the First Affiliated Hospital of Anhui Medical University, Hefei 230022, China
| | - S S Gu
- Department of Otorhinolaryngology Head and Neck Surgery, Qilu Hospital of Shandong University, Jinan 250012, China
| | - Y C Yang
- Department of Otorhinolaryngology Head and Neck Surgery, the First Affiliated Hospital of Chongqing Medical University, Chongqing 400016, China
| | - L Cheng
- Department of Otorhinolaryngology, the First Affiliated Hospital, Nanjing Medical University, Nanjing 210029, China
| | - J F Liu
- Department of Otorhinolaryngology Head and Neck Surgery, China-Japan Friendship Hospital, Beijing 100029, China
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Acciarri R, Adams C, Baller B, Basque V, Cavanna F, Co RT, Fitzpatrick RS, Fleming B, Green P, Harnik R, Kelly KJ, Kumar S, Lang K, Lepetic I, Liu Z, Luo X, Lyu KF, Palamara O, Scanavini G, Soderberg M, Spitz J, Szelc AM, Wu W, Yang T. First Constraints on Heavy QCD Axions with a Liquid Argon Time Projection Chamber Using the ArgoNeuT Experiment. Phys Rev Lett 2023; 130:221802. [PMID: 37327426 DOI: 10.1103/physrevlett.130.221802] [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: 08/23/2022] [Accepted: 04/21/2023] [Indexed: 06/18/2023]
Abstract
We present the results of a search for heavy QCD axions performed by the ArgoNeuT experiment at Fermilab. We search for heavy axions produced in the NuMI neutrino beam target and absorber decaying into dimuon pairs, which can be identified using the unique capabilities of ArgoNeuT and the MINOS near detector. This decay channel is motivated by a broad class of heavy QCD axion models that address the strong CP and axion quality problems with axion masses above the dimuon threshold. We obtain new constraints at a 95% confidence level for heavy axions in the previously unexplored mass range of 0.2-0.9 GeV, for axion decay constants around tens of TeV.
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Affiliation(s)
- R Acciarri
- Fermi National Accelerator Laboratory, Batavia, Illinois 60510, USA
| | - C Adams
- Argonne National Laboratory, Lemont, Illinois 60439, USA
| | - B Baller
- Fermi National Accelerator Laboratory, Batavia, Illinois 60510, USA
| | - V Basque
- Fermi National Accelerator Laboratory, Batavia, Illinois 60510, USA
| | - F Cavanna
- Fermi National Accelerator Laboratory, Batavia, Illinois 60510, USA
| | - R T Co
- School of Physics and Astronomy, University of Minnesota, Minneapolis, Minnesota 55455, USA
- William I. Fine Theoretical Physics Institute, University of Minnesota, Minneapolis, Minnesota 55455, USA
| | | | - B Fleming
- Yale University, New Haven, Connecticut 06520, USA
| | - P Green
- University of Manchester, Manchester M13 9PL, United Kingdom
- University of Oxford, Oxford OX1 3RH, United Kingdom
| | - R Harnik
- Fermi National Accelerator Laboratory, Batavia, Illinois 60510, USA
| | - K J Kelly
- CERN, Esplande des Particules, 1211 Geneva 23, Switzerland
| | - S Kumar
- University of California, Berkeley, California 94720, USA
- Lawrence Berkeley National Laboratory, Berkeley, California 94720, USA
| | - K Lang
- University of Texas at Austin, Austin, Texas 78712, USA
| | - I Lepetic
- Rutgers University, Piscataway, New Jersey 08854, USA
| | - Z Liu
- School of Physics and Astronomy, University of Minnesota, Minneapolis, Minnesota 55455, USA
| | - X Luo
- University of California, Santa Barbara, California, 93106, USA
| | - K F Lyu
- School of Physics and Astronomy, University of Minnesota, Minneapolis, Minnesota 55455, USA
| | - O Palamara
- Fermi National Accelerator Laboratory, Batavia, Illinois 60510, USA
| | - G Scanavini
- Yale University, New Haven, Connecticut 06520, USA
| | - M Soderberg
- Syracuse University, Syracuse, New York 13244, USA
| | - J Spitz
- University of Michigan, Ann Arbor, Michigan 48109, USA
| | - A M Szelc
- University of Edinburgh, Edinburgh EH9 3FD, United Kingdom
| | - W Wu
- Fermi National Accelerator Laboratory, Batavia, Illinois 60510, USA
| | - T Yang
- Fermi National Accelerator Laboratory, Batavia, Illinois 60510, USA
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143
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Yang J, Liu Z, Guo H, Reheman Z, Ye J, Song S, Wang N, Nie W, Nie J. Prevalence and influencing factors of anaemia among pregnant women in rural areas of Northwestern China. Public Health 2023; 220:50-56. [PMID: 37269588 DOI: 10.1016/j.puhe.2023.04.024] [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: 06/07/2022] [Revised: 03/22/2023] [Accepted: 04/26/2023] [Indexed: 06/05/2023]
Abstract
OBJECTIVES Anaemia during pregnancy is a significant public health problem that adversely impacts both the mother and foetus. However, the factors influencing maternal anaemia in deprived areas of Northwestern China have not yet been thoroughly investigated. This study aimed to describe the prevalence and potential influencing factors of anaemia among expectant mothers in rural areas of Northwestern China. STUDY DESIGN This was a cross-sectional survey. METHODS A cross-sectional survey of 586 expectant mothers was conducted to investigate the prevalence of anaemia, prenatal healthcare coverage, dietary diversity and nutrient supplementation intake. The study population was selected from the sample areas using a random sampling method. Data were collected through a questionnaire, and haemoglobin concentrations were measured by a capillary blood test. RESULTS The results show that 34.8% of the study population were anaemic, with 13% having moderate-to-severe anaemia. The results of the regression analysis showed that diet was not significantly associated with haemoglobin concentrations or the prevalence of anaemia. However, regular prenatal healthcare attendance was found to be an important influencing factor for both haemoglobin concentration (β = 3.67, P = 0.002) and the prevalence of anaemia (odds ratio = 0.59, P = 0.011). CONCLUSIONS Pregnant women receiving regular prenatal care were less likely to be anaemic; thus, it is essential to implement strategies to improve attendance at maternal public health services to reduce the prevalence of maternal anaemia.
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Affiliation(s)
- J Yang
- Center for Experimental Economics in Educational, Shaanxi Normal University, Xi'an, China.
| | - Z Liu
- Center for Experimental Economics in Educational, Shaanxi Normal University, Xi'an, China.
| | - H Guo
- School of Philosophy and Government, Shaanxi Normal University, Xian, China.
| | - Z Reheman
- Center for Experimental Economics in Educational, Shaanxi Normal University, Xi'an, China.
| | - J Ye
- Center for Experimental Economics in Educational, Shaanxi Normal University, Xi'an, China.
| | - S Song
- Center for Experimental Economics in Educational, Shaanxi Normal University, Xi'an, China.
| | - N Wang
- Center for Experimental Economics in Educational, Shaanxi Normal University, Xi'an, China.
| | - W Nie
- Center for Experimental Economics in Educational, Shaanxi Normal University, Xi'an, China.
| | - J Nie
- Center for Experimental Economics in Educational, Shaanxi Normal University, Xi'an, China.
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144
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Pan K, Liu Z, Li Z, Chen M, Quan Q, Yu X, Lei Y, Mo Q, Wang B, Guan T, Lei H. Identifying fungicide difenoconazole as illegal growth regulator in vegetable: Computer-aided hapten similarity to enhance immunoassay sensitivity. Anal Chim Acta 2023; 1258:341182. [PMID: 37087291 DOI: 10.1016/j.aca.2023.341182] [Citation(s) in RCA: 2] [Impact Index Per Article: 2.0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 02/17/2023] [Revised: 03/24/2023] [Accepted: 04/05/2023] [Indexed: 04/24/2023]
Abstract
Difenoconazole, a fungicide with broad-spectrum properties, has recently been found to have been used illegally used as a plant growth regulator in Brassica campestris, with the intent of inducing thick stems and dark green leaves. However, analysts have encountered challenges in implementing a rapid surveillance screening approach for this purpose. In this study, a novel hapten was designed to improve the analytical performance of difenoconazole immunoassay. Specifically, the triazole of the original hapten was replaced with a benzene ring, guided by molecular simulation. This led to the development of a very sensitive antibody and the subsequent development of a competitive indirect enzyme linked immunosorbent assay (ciELISA) for the detection of difenoconazole in vegetable samples. The assay exhibited a working range of 0.16 ng mL-1 to 9.64 ng mL-1, with a detection limit of 0.05 ng mL-1. Upon analysis of blind samples, a strong correlation was observed between the ciELISA and HPLC-MS/MS methods. As a result, the proposed technique may prove to be an excellent tool for the rapid detection of difenoconazole overuse and adulteration in vegetables.
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Affiliation(s)
- Kangliang Pan
- Guangdong Provincial Key Laboratory of Food Quality and Safety, Nation-Local Joint Engineering Research Center for Machining and Safety of Livestock and Poultry Products, South China Agricultural University, Guangzhou, 510642, China; Guangdong Laboratory for Lingnan Modern Agriculture, Guangzhou, 510642, China
| | - Zhiwei Liu
- Guangdong Provincial Key Laboratory of Food Quality and Safety, Nation-Local Joint Engineering Research Center for Machining and Safety of Livestock and Poultry Products, South China Agricultural University, Guangzhou, 510642, China
| | - Zhaodong Li
- Guangdong Provincial Key Laboratory of Food Quality and Safety, Nation-Local Joint Engineering Research Center for Machining and Safety of Livestock and Poultry Products, South China Agricultural University, Guangzhou, 510642, China
| | - Mindan Chen
- Guangdong Provincial Key Laboratory of Food Quality and Safety, Nation-Local Joint Engineering Research Center for Machining and Safety of Livestock and Poultry Products, South China Agricultural University, Guangzhou, 510642, China
| | - Qiqi Quan
- Guangdong Provincial Key Laboratory of Food Quality and Safety, Nation-Local Joint Engineering Research Center for Machining and Safety of Livestock and Poultry Products, South China Agricultural University, Guangzhou, 510642, China
| | - Xiaoqin Yu
- Sichuan Institute of Food Inspection, Key Laboratory of Baijiu Supervising Technology for State Market Regulation, Sichuan, Chengdu, 610000, China
| | - Yi Lei
- Guangdong Institute of Food Inspection, Zengcha Road, Guangzhou, 510435, China
| | - Qiuhua Mo
- Bioeasy Technology, Inc., Shenzhen, 518102, China
| | - Bingzhi Wang
- Bioeasy Technology, Inc., Shenzhen, 518102, China
| | - Tian Guan
- Guangdong Provincial Key Laboratory of Food Quality and Safety, Nation-Local Joint Engineering Research Center for Machining and Safety of Livestock and Poultry Products, South China Agricultural University, Guangzhou, 510642, China.
| | - Hongtao Lei
- Guangdong Provincial Key Laboratory of Food Quality and Safety, Nation-Local Joint Engineering Research Center for Machining and Safety of Livestock and Poultry Products, South China Agricultural University, Guangzhou, 510642, China; Guangdong Laboratory for Lingnan Modern Agriculture, Guangzhou, 510642, China; Licheng Detection and Certification Group Co., Ltd, Guangdong, Zhongshan, 528403, China.
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145
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Li W, Zhao J, Ni M, Zhang Q, Shen Q, Li H, Tang Z, Yao D, Wang T, Qi S, Li B, Ding X, Xie J, Wang X, Wang B, Liu Z. Assisted reproductive technology and neurodevelopmental outcomes in offspring: a prospective birth cohort study in East China. Reprod Biomed Online 2023; 46:983-994. [PMID: 37068978 DOI: 10.1016/j.rbmo.2023.02.006] [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] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 11/07/2022] [Revised: 01/19/2023] [Accepted: 02/13/2023] [Indexed: 02/23/2023]
Abstract
RESEARCH QUESTION Is ART associated with adverse neurodevelopmental outcome in 12-month-old offspring compared with those conceived through natural conception? DESIGN In this prospective cohort study, 488 infertile women undergoing ART and 1397 women with natural conception were recruited and followed until their offspring were 12 months old. The primary outcome was the neurodevelopment in the offspring. The association between exposure to ART and Gesell developmental scale scores was investigated using multiple linear regression models after adjusting for confounders. Propensity score matching (PSM) and inverse probability of treatment weighting (IPTW) were used to verify the results. RESULTS In total, 18 (3.7%) and 40 (2.9%) children in the ART and natural conception groups, respectively, had been diagnosed with neurodevelopmental delay at 12 months of age. It was found that gross motor, adaptive behaviour, language and total development quotient scores were comparable between the groups. Following multivariate linear regression and IPTW, social behaviour development quotient scores were found to be slightly higher in the ART group than the natural conception group. Higher social behaviour development quotient scores in the ART group were also observed in the male and the singleton subgroups. CONCLUSIONS At 12 months, offspring born after ART appeared to have similar motor, language and adaptive behaviour skills, and total development quotient scores, to those born after natural conception. However, social behaviour development in 12-month-old infants was slightly higher in those conceived using ART than in naturally conceived offspring, especially in male or singleton infants. These findings may provide new information in evaluating the potential benefits and risks of ART.
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Affiliation(s)
- Wei Li
- International Peace Maternity and Child Health Hospital, School of Medicine, Shanghai Jiao Tong University, Shanghai, China; International Peace Maternity and Child Health Hospital of China Welfare Institution, School of Medicine, Shanghai Jiao Tong University, Shanghai, China; Shanghai Key Laboratory of Embryo Original Diseases, Shanghai, China
| | - Jiuru Zhao
- International Peace Maternity and Child Health Hospital, School of Medicine, Shanghai Jiao Tong University, Shanghai, China; International Peace Maternity and Child Health Hospital of China Welfare Institution, School of Medicine, Shanghai Jiao Tong University, Shanghai, China; Shanghai Key Laboratory of Embryo Original Diseases, Shanghai, China
| | - Meng Ni
- International Peace Maternity and Child Health Hospital, School of Medicine, Shanghai Jiao Tong University, Shanghai, China; International Peace Maternity and Child Health Hospital of China Welfare Institution, School of Medicine, Shanghai Jiao Tong University, Shanghai, China; Shanghai Key Laboratory of Embryo Original Diseases, Shanghai, China
| | - Qianqian Zhang
- International Peace Maternity and Child Health Hospital, School of Medicine, Shanghai Jiao Tong University, Shanghai, China; International Peace Maternity and Child Health Hospital of China Welfare Institution, School of Medicine, Shanghai Jiao Tong University, Shanghai, China; Shanghai Key Laboratory of Embryo Original Diseases, Shanghai, China
| | - Qianwen Shen
- International Peace Maternity and Child Health Hospital, School of Medicine, Shanghai Jiao Tong University, Shanghai, China; International Peace Maternity and Child Health Hospital of China Welfare Institution, School of Medicine, Shanghai Jiao Tong University, Shanghai, China; Shanghai Key Laboratory of Embryo Original Diseases, Shanghai, China
| | - Hong Li
- International Peace Maternity and Child Health Hospital of China Welfare Institution, School of Medicine, Shanghai Jiao Tong University, Shanghai, China
| | - Zheng Tang
- International Peace Maternity and Child Health Hospital of China Welfare Institution, School of Medicine, Shanghai Jiao Tong University, Shanghai, China
| | - Dongting Yao
- International Peace Maternity and Child Health Hospital, School of Medicine, Shanghai Jiao Tong University, Shanghai, China; International Peace Maternity and Child Health Hospital of China Welfare Institution, School of Medicine, Shanghai Jiao Tong University, Shanghai, China; Shanghai Key Laboratory of Embryo Original Diseases, Shanghai, China
| | - Tao Wang
- International Peace Maternity and Child Health Hospital, School of Medicine, Shanghai Jiao Tong University, Shanghai, China; International Peace Maternity and Child Health Hospital of China Welfare Institution, School of Medicine, Shanghai Jiao Tong University, Shanghai, China; Shanghai Key Laboratory of Embryo Original Diseases, Shanghai, China
| | - Sudong Qi
- International Peace Maternity and Child Health Hospital, School of Medicine, Shanghai Jiao Tong University, Shanghai, China; International Peace Maternity and Child Health Hospital of China Welfare Institution, School of Medicine, Shanghai Jiao Tong University, Shanghai, China; Shanghai Key Laboratory of Embryo Original Diseases, Shanghai, China
| | - Baihe Li
- International Peace Maternity and Child Health Hospital, School of Medicine, Shanghai Jiao Tong University, Shanghai, China; International Peace Maternity and Child Health Hospital of China Welfare Institution, School of Medicine, Shanghai Jiao Tong University, Shanghai, China; Shanghai Key Laboratory of Embryo Original Diseases, Shanghai, China
| | - Xiya Ding
- International Peace Maternity and Child Health Hospital, School of Medicine, Shanghai Jiao Tong University, Shanghai, China; International Peace Maternity and Child Health Hospital of China Welfare Institution, School of Medicine, Shanghai Jiao Tong University, Shanghai, China; Shanghai Key Laboratory of Embryo Original Diseases, Shanghai, China
| | - Jinliang Xie
- Department of Biostatistics, Clinical Research Institute, Shanghai Jiao Tong University School of Medicine, Shanghai, China
| | - Xiaojin Wang
- Department of Biostatistics, Clinical Research Institute, Shanghai Jiao Tong University School of Medicine, Shanghai, China
| | - Bingshun Wang
- Department of Biostatistics, Clinical Research Institute, Shanghai Jiao Tong University School of Medicine, Shanghai, China
| | - Zhiwei Liu
- International Peace Maternity and Child Health Hospital, School of Medicine, Shanghai Jiao Tong University, Shanghai, China; International Peace Maternity and Child Health Hospital of China Welfare Institution, School of Medicine, Shanghai Jiao Tong University, Shanghai, China; Shanghai Key Laboratory of Embryo Original Diseases, Shanghai, China.
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Aboona BE, Adam J, Adams JR, Agakishiev G, Aggarwal I, Aggarwal MM, Ahammed Z, Aitbaev A, Alekseev I, Anderson DM, Aparin A, Atchison J, Averichev GS, Bairathi V, Baker W, Ball Cap JG, Barish K, Bhagat P, Bhasin A, Bhatta S, Bordyuzhin IG, Brandenburg JD, Brandin AV, Cai XZ, Caines H, Calderón de la Barca Sánchez M, Cebra D, Ceska J, Chakaberia I, Chan BK, Chang Z, Chen D, Chen J, Chen JH, Chen Z, Cheng J, Cheng Y, Choudhury S, Christie W, Chu X, Crawford HJ, Dale-Gau G, Das A, Daugherity M, Dedovich TG, Deppner IM, Derevschikov AA, Dhamija A, Di Carlo L, Didenko L, Dixit P, Dong X, Drachenberg JL, Duckworth E, Dunlop JC, Engelage J, Eppley G, Esumi S, Evdokimov O, Ewigleben A, Eyser O, Fatemi R, Fazio S, Feng CJ, Feng Y, Finch E, Fisyak Y, Flor FA, Fu C, Geurts F, Ghimire N, Gibson A, Gopal K, Gou X, Grosnick D, Gupta A, Hamed A, Han Y, Harasty MD, Harris JW, Harrison H, He W, He XH, He Y, Hu C, Hu Q, Hu Y, Huang H, Huang HZ, Huang SL, Huang T, Huang X, Huang Y, Huang Y, Humanic TJ, Isenhower D, Isshiki M, Jacobs WW, Jalotra A, Jena C, Ji Y, Jia J, Jin C, Ju X, Judd EG, Kabana S, Kabir ML, Kalinkin D, Kang K, Kapukchyan D, Kauder K, Ke HW, Keane D, Kechechyan A, Kelsey M, Kimelman B, Kiselev A, Knospe AG, Ko HS, Kochenda L, Korobitsin AA, Kravtsov P, Kumar L, Kumar S, Kunnawalkam Elayavalli R, Lacey R, Landgraf JM, Lebedev A, Lednicky R, Lee JH, Leung YH, Lewis N, Li C, Li C, Li W, Li X, Li Y, Li Y, Li Z, Liang X, Liang Y, Lin T, Liu C, Liu F, Liu H, Liu H, Liu L, Liu T, Liu X, Liu Y, Liu Z, Ljubicic T, Llope WJ, Lomicky O, Longacre RS, Loyd E, Lu T, Lukow NS, Luo XF, Luong VB, Ma L, Ma R, Ma YG, Magdy N, Mallick D, Margetis S, Matis HS, Mazer JA, McNamara G, Mi K, Minaev NG, Mohanty B, Mooney I, Morozov DA, Mudrokh A, Nagy MI, Nain AS, Nam JD, Nasim M, Neff D, Nelson JM, Nemes DB, Nie M, Nigmatkulov G, Niida T, Nishitani R, Nogach LV, Nonaka T, Nunes AS, Odyniec G, Ogawa A, Oh S, Okorokov VA, Okubo K, Page BS, Pak R, Pan J, Pandav A, Pandey AK, Panebratsev Y, Pani T, Parfenov P, Paul A, Perkins C, Pokhrel BR, Posik M, Protzman T, Pruthi NK, Putschke J, Qin Z, Qiu H, Quintero A, Racz C, Radhakrishnan SK, Raha N, Ray RL, Ritter HG, Robertson CW, Rogachevsky OV, Rosales Aguilar MA, Roy D, Ruan L, Sahoo AK, Sahoo NR, Sako H, Salur S, Samigullin E, Sato S, Schmidke WB, Schmitz N, Seger J, Seto R, Seyboth P, Shah N, Shahaliev E, Shanmuganathan PV, Shao M, Shao T, Sharma M, Sharma N, Sharma R, Sharma SR, Sheikh AI, Shen DY, Shen K, Shi SS, Shi Y, Shou QY, Si F, Singh J, Singha S, Sinha P, Skoby MJ, Söhngen Y, Song Y, Srivastava B, Stanislaus TDS, Stewart DJ, Strikhanov M, Stringfellow B, Su Y, Sun C, Sun X, Sun Y, Sun Y, Surrow B, Svirida DN, Sweger ZW, Tamis A, Tang AH, Tang Z, Taranenko A, Tarnowsky T, Thomas JH, Tlusty D, Todoroki T, Tokarev MV, Tomkiel CA, Trentalange S, Tribble RE, Tribedy P, Tsai OD, Tsang CY, Tu Z, Ullrich T, Underwood DG, Upsal I, Van Buren G, Vasiliev AN, Verkest V, Videbæk F, Vokal S, Voloshin SA, Wang F, Wang G, Wang JS, Wang X, Wang Y, Wang Y, Wang Y, Wang Z, Webb JC, Weidenkaff PC, Westfall GD, Wieman H, Wilks G, Wissink SW, Wu J, Wu J, Wu X, Wu Y, Xi B, Xiao ZG, Xie W, Xu H, Xu N, Xu QH, Xu Y, Xu Y, Xu Z, Xu Z, Yan G, Yan Z, Yang C, Yang Q, Yang S, Yang Y, Ye Z, Ye Z, Yi L, Yip K, Yu Y, Zha W, Zhang C, Zhang D, Zhang J, Zhang S, Zhang X, Zhang Y, Zhang Y, Zhang Y, Zhang ZJ, Zhang Z, Zhang Z, Zhao F, Zhao J, Zhao M, Zhou C, Zhou J, Zhou S, Zhou Y, Zhu X, Zurek M, Zyzak M. Observation of Directed Flow of Hypernuclei _{Λ}^{3}H and _{Λ}^{4}H in sqrt[s_{NN}]=3 GeV Au+Au Collisions at RHIC. Phys Rev Lett 2023; 130:212301. [PMID: 37295104 DOI: 10.1103/physrevlett.130.212301] [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: 11/30/2022] [Revised: 01/24/2023] [Accepted: 03/02/2023] [Indexed: 06/12/2023]
Abstract
We report here the first observation of directed flow (v_{1}) of the hypernuclei _{Λ}^{3}H and _{Λ}^{4}H in mid-central Au+Au collisions at sqrt[s_{NN}]=3 GeV at RHIC. These data are taken as part of the beam energy scan program carried out by the STAR experiment. From 165×10^{6} events in 5%-40% centrality, about 8400 _{Λ}^{3}H and 5200 _{Λ}^{4}H candidates are reconstructed through two- and three-body decay channels. We observe that these hypernuclei exhibit significant directed flow. Comparing to that of light nuclei, it is found that the midrapidity v_{1} slopes of _{Λ}^{3}H and _{Λ}^{4}H follow baryon number scaling, implying that the coalescence is the dominant mechanism for these hypernuclei production in the 3 GeV Au+Au collisions.
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Affiliation(s)
- B E Aboona
- Texas A&M University, College Station, Texas 77843
| | - J Adam
- Czech Technical University in Prague, FNSPE, Prague 115 19, Czech Republic
| | - J R Adams
- Ohio State University, Columbus, Ohio 43210
| | - G Agakishiev
- Joint Institute for Nuclear Research, Dubna 141 980
| | - I Aggarwal
- Panjab University, Chandigarh 160014, India
| | | | - Z Ahammed
- Variable Energy Cyclotron Centre, Kolkata 700064, India
| | - A Aitbaev
- Joint Institute for Nuclear Research, Dubna 141 980
| | - I Alekseev
- Alikhanov Institute for Theoretical and Experimental Physics NRC "Kurchatov Institute," Moscow 117218
- National Research Nuclear University MEPhI, Moscow 115409
| | - D M Anderson
- Texas A&M University, College Station, Texas 77843
| | - A Aparin
- Joint Institute for Nuclear Research, Dubna 141 980
| | - J Atchison
- Abilene Christian University, Abilene, Texas 79699
| | | | - V Bairathi
- Instituto de Alta Investigación, Universidad de Tarapacá, Arica 1000000, Chile
| | - W Baker
- University of California, Riverside, California 92521
| | | | - K Barish
- University of California, Riverside, California 92521
| | - P Bhagat
- University of Jammu, Jammu 180001, India
| | - A Bhasin
- University of Jammu, Jammu 180001, India
| | - S Bhatta
- State University of New York, Stony Brook, New York 11794
| | - I G Bordyuzhin
- Alikhanov Institute for Theoretical and Experimental Physics NRC "Kurchatov Institute," Moscow 117218
| | | | - A V Brandin
- National Research Nuclear University MEPhI, Moscow 115409
| | - X Z Cai
- Shanghai Institute of Applied Physics, Chinese Academy of Sciences, Shanghai 201800
| | - H Caines
- Yale University, New Haven, Connecticut 06520
| | | | - D Cebra
- University of California, Davis, California 95616
| | - J Ceska
- Czech Technical University in Prague, FNSPE, Prague 115 19, Czech Republic
| | - I Chakaberia
- Lawrence Berkeley National Laboratory, Berkeley, California 94720
| | - B K Chan
- University of California, Los Angeles, California 90095
| | - Z Chang
- Indiana University, Bloomington, Indiana 47408
| | - D Chen
- University of California, Riverside, California 92521
| | - J Chen
- Shandong University, Qingdao, Shandong 266237
| | - J H Chen
- Fudan University, Shanghai, 200433
| | - Z Chen
- Shandong University, Qingdao, Shandong 266237
| | - J Cheng
- Tsinghua University, Beijing 100084
| | - Y Cheng
- University of California, Los Angeles, California 90095
| | | | - W Christie
- Brookhaven National Laboratory, Upton, New York 11973
| | - X Chu
- Brookhaven National Laboratory, Upton, New York 11973
| | - H J Crawford
- University of California, Berkeley, California 94720
| | - G Dale-Gau
- University of Illinois at Chicago, Chicago, Illinois 60607
| | - A Das
- Czech Technical University in Prague, FNSPE, Prague 115 19, Czech Republic
| | - M Daugherity
- Abilene Christian University, Abilene, Texas 79699
| | - T G Dedovich
- Joint Institute for Nuclear Research, Dubna 141 980
| | - I M Deppner
- University of Heidelberg, Heidelberg 69120, Germany
| | - A A Derevschikov
- NRC "Kurchatov Institute," Institute of High Energy Physics, Protvino 142281
| | - A Dhamija
- Panjab University, Chandigarh 160014, India
| | - L Di Carlo
- Wayne State University, Detroit, Michigan 48201
| | - L Didenko
- Brookhaven National Laboratory, Upton, New York 11973
| | - P Dixit
- Indian Institute of Science Education and Research (IISER), Berhampur 760010, India
| | - X Dong
- Lawrence Berkeley National Laboratory, Berkeley, California 94720
| | | | | | - J C Dunlop
- Brookhaven National Laboratory, Upton, New York 11973
| | - J Engelage
- University of California, Berkeley, California 94720
| | - G Eppley
- Rice University, Houston, Texas 77251
| | - S Esumi
- University of Tsukuba, Tsukuba, Ibaraki 305-8571, Japan
| | - O Evdokimov
- University of Illinois at Chicago, Chicago, Illinois 60607
| | - A Ewigleben
- Lehigh University, Bethlehem, Pennsylvania 18015
| | - O Eyser
- Brookhaven National Laboratory, Upton, New York 11973
| | - R Fatemi
- University of Kentucky, Lexington, Kentucky 40506-0055
| | - S Fazio
- University of Calabria & INFN-Cosenza, Italy
| | - C J Feng
- National Cheng Kung University, Tainan 70101
| | - Y Feng
- Purdue University, West Lafayette, Indiana 47907
| | - E Finch
- Southern Connecticut State University, New Haven, Connecticut 06515
| | - Y Fisyak
- Brookhaven National Laboratory, Upton, New York 11973
| | - F A Flor
- Yale University, New Haven, Connecticut 06520
| | - C Fu
- Central China Normal University, Wuhan, Hubei 430079
| | - F Geurts
- Rice University, Houston, Texas 77251
| | - N Ghimire
- Temple University, Philadelphia, Pennsylvania 19122
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- Valparaiso University, Valparaiso, Indiana 46383
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- Indian Institute of Science Education and Research (IISER) Tirupati, Tirupati 517507, India
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- Shandong University, Qingdao, Shandong 266237
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- Valparaiso University, Valparaiso, Indiana 46383
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- University of Jammu, Jammu 180001, India
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- American University of Cairo, New Cairo 11835, New Cairo, Egypt
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- Rice University, Houston, Texas 77251
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- University of California, Davis, California 95616
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- Yale University, New Haven, Connecticut 06520
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- University of Kentucky, Lexington, Kentucky 40506-0055
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- Fudan University, Shanghai, 200433
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- Institute of Modern Physics, Chinese Academy of Sciences, Lanzhou, Gansu 730000
| | - Y He
- Shandong University, Qingdao, Shandong 266237
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- Institute of Modern Physics, Chinese Academy of Sciences, Lanzhou, Gansu 730000
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- Institute of Modern Physics, Chinese Academy of Sciences, Lanzhou, Gansu 730000
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- Lawrence Berkeley National Laboratory, Berkeley, California 94720
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- University of California, Los Angeles, California 90095
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- State University of New York, Stony Brook, New York 11794
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- University of Illinois at Chicago, Chicago, Illinois 60607
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- Tsinghua University, Beijing 100084
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- Tsinghua University, Beijing 100084
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- Central China Normal University, Wuhan, Hubei 430079
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- Abilene Christian University, Abilene, Texas 79699
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- University of Tsukuba, Tsukuba, Ibaraki 305-8571, Japan
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- Indiana University, Bloomington, Indiana 47408
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- University of Jammu, Jammu 180001, India
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- Indian Institute of Science Education and Research (IISER) Tirupati, Tirupati 517507, India
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- Lawrence Berkeley National Laboratory, Berkeley, California 94720
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- Brookhaven National Laboratory, Upton, New York 11973
- State University of New York, Stony Brook, New York 11794
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- Rice University, Houston, Texas 77251
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- University of Science and Technology of China, Hefei, Anhui 230026
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- University of California, Berkeley, California 94720
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- Instituto de Alta Investigación, Universidad de Tarapacá, Arica 1000000, Chile
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- University of California, Riverside, California 92521
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- Joint Institute for Nuclear Research, Dubna 141 980
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- Brookhaven National Laboratory, Upton, New York 11973
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- University of Science and Technology of China, Hefei, Anhui 230026
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- University of Science and Technology of China, Hefei, Anhui 230026
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- University of Science and Technology of China, Hefei, Anhui 230026
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- University of Science and Technology of China, Hefei, Anhui 230026
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- Ohio State University, Columbus, Ohio 43210
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- Central China Normal University, Wuhan, Hubei 430079
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- Brookhaven National Laboratory, Upton, New York 11973
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- Wayne State University, Detroit, Michigan 48201
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- Czech Technical University in Prague, FNSPE, Prague 115 19, Czech Republic
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- Brookhaven National Laboratory, Upton, New York 11973
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- University of California, Riverside, California 92521
| | - T Lu
- Institute of Modern Physics, Chinese Academy of Sciences, Lanzhou, Gansu 730000
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- National Institute of Science Education and Research, HBNI, Jatni 752050, India
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- Rutgers University, Piscataway, New Jersey 08854
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- Wayne State University, Detroit, Michigan 48201
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- NRC "Kurchatov Institute," Institute of High Energy Physics, Protvino 142281
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- National Institute of Science Education and Research, HBNI, Jatni 752050, India
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- Yale University, New Haven, Connecticut 06520
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- NRC "Kurchatov Institute," Institute of High Energy Physics, Protvino 142281
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- Joint Institute for Nuclear Research, Dubna 141 980
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- Panjab University, Chandigarh 160014, India
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- Temple University, Philadelphia, Pennsylvania 19122
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- Indian Institute of Science Education and Research (IISER), Berhampur 760010, India
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- National Research Nuclear University MEPhI, Moscow 115409
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- University of Tsukuba, Tsukuba, Ibaraki 305-8571, Japan
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- University of Tsukuba, Tsukuba, Ibaraki 305-8571, Japan
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- NRC "Kurchatov Institute," Institute of High Energy Physics, Protvino 142281
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- University of Tsukuba, Tsukuba, Ibaraki 305-8571, Japan
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- Brookhaven National Laboratory, Upton, New York 11973
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- Lawrence Berkeley National Laboratory, Berkeley, California 94720
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| | - S Oh
- Lawrence Berkeley National Laboratory, Berkeley, California 94720
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- National Research Nuclear University MEPhI, Moscow 115409
| | - K Okubo
- University of Tsukuba, Tsukuba, Ibaraki 305-8571, Japan
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- Brookhaven National Laboratory, Upton, New York 11973
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- Brookhaven National Laboratory, Upton, New York 11973
| | - J Pan
- Texas A&M University, College Station, Texas 77843
| | - A Pandav
- National Institute of Science Education and Research, HBNI, Jatni 752050, India
| | - A K Pandey
- Institute of Modern Physics, Chinese Academy of Sciences, Lanzhou, Gansu 730000
| | | | - T Pani
- Rutgers University, Piscataway, New Jersey 08854
| | - P Parfenov
- National Research Nuclear University MEPhI, Moscow 115409
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- University of California, Riverside, California 92521
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- University of California, Berkeley, California 94720
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- Temple University, Philadelphia, Pennsylvania 19122
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- Lehigh University, Bethlehem, Pennsylvania 18015
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- Panjab University, Chandigarh 160014, India
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- Wayne State University, Detroit, Michigan 48201
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- Tsinghua University, Beijing 100084
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- Institute of Modern Physics, Chinese Academy of Sciences, Lanzhou, Gansu 730000
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- University of California, Riverside, California 92521
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- Indian Institute of Science Education and Research (IISER), Berhampur 760010, India
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- Shandong University, Qingdao, Shandong 266237
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- Brookhaven National Laboratory, Upton, New York 11973
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- Max-Planck-Institut für Physik, Munich 80805, Germany
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- University of California, Riverside, California 92521
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- Max-Planck-Institut für Physik, Munich 80805, Germany
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- Indian Institute Technology, Patna, Bihar 801106, India
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- Joint Institute for Nuclear Research, Dubna 141 980
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- University of Science and Technology of China, Hefei, Anhui 230026
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- Fudan University, Shanghai, 200433
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- University of Jammu, Jammu 180001, India
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- Indian Institute of Science Education and Research (IISER), Berhampur 760010, India
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- Indian Institute of Science Education and Research (IISER) Tirupati, Tirupati 517507, India
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- Indian Institute of Science Education and Research (IISER) Tirupati, Tirupati 517507, India
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- Fudan University, Shanghai, 200433
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- University of Science and Technology of China, Hefei, Anhui 230026
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- Central China Normal University, Wuhan, Hubei 430079
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- Shandong University, Qingdao, Shandong 266237
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- Fudan University, Shanghai, 200433
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- University of Science and Technology of China, Hefei, Anhui 230026
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- Panjab University, Chandigarh 160014, India
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- Institute of Modern Physics, Chinese Academy of Sciences, Lanzhou, Gansu 730000
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- Indian Institute of Science Education and Research (IISER) Tirupati, Tirupati 517507, India
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- Ball State University, Muncie, Indiana, 47306
- Purdue University, West Lafayette, Indiana 47907
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- University of Heidelberg, Heidelberg 69120, Germany
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- Yale University, New Haven, Connecticut 06520
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- Purdue University, West Lafayette, Indiana 47907
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- Wayne State University, Detroit, Michigan 48201
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- National Research Nuclear University MEPhI, Moscow 115409
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- University of Science and Technology of China, Hefei, Anhui 230026
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- State University of New York, Stony Brook, New York 11794
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- Institute of Modern Physics, Chinese Academy of Sciences, Lanzhou, Gansu 730000
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- University of Science and Technology of China, Hefei, Anhui 230026
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- Huzhou University, Huzhou, Zhejiang 313000
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- Temple University, Philadelphia, Pennsylvania 19122
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- Alikhanov Institute for Theoretical and Experimental Physics NRC "Kurchatov Institute," Moscow 117218
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- University of California, Davis, California 95616
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- Yale University, New Haven, Connecticut 06520
| | - A H Tang
- Brookhaven National Laboratory, Upton, New York 11973
| | - Z Tang
- University of Science and Technology of China, Hefei, Anhui 230026
| | - A Taranenko
- National Research Nuclear University MEPhI, Moscow 115409
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- Michigan State University, East Lansing, Michigan 48824
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- Lawrence Berkeley National Laboratory, Berkeley, California 94720
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- Creighton University, Omaha, Nebraska 68178
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- University of Tsukuba, Tsukuba, Ibaraki 305-8571, Japan
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- Joint Institute for Nuclear Research, Dubna 141 980
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- Lehigh University, Bethlehem, Pennsylvania 18015
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- University of California, Los Angeles, California 90095
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- Texas A&M University, College Station, Texas 77843
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- Brookhaven National Laboratory, Upton, New York 11973
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- Brookhaven National Laboratory, Upton, New York 11973
- University of California, Los Angeles, California 90095
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- Brookhaven National Laboratory, Upton, New York 11973
- Kent State University, Kent, Ohio 44242
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- Brookhaven National Laboratory, Upton, New York 11973
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- Brookhaven National Laboratory, Upton, New York 11973
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- Argonne National Laboratory, Argonne, Illinois 60439
- Valparaiso University, Valparaiso, Indiana 46383
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- Rice University, Houston, Texas 77251
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- Brookhaven National Laboratory, Upton, New York 11973
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- National Research Nuclear University MEPhI, Moscow 115409
- NRC "Kurchatov Institute," Institute of High Energy Physics, Protvino 142281
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- Wayne State University, Detroit, Michigan 48201
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- Brookhaven National Laboratory, Upton, New York 11973
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- Joint Institute for Nuclear Research, Dubna 141 980
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- Purdue University, West Lafayette, Indiana 47907
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- University of California, Los Angeles, California 90095
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- Huzhou University, Huzhou, Zhejiang 313000
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- Shandong University, Qingdao, Shandong 266237
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- University of Science and Technology of China, Hefei, Anhui 230026
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- Central China Normal University, Wuhan, Hubei 430079
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- Tsinghua University, Beijing 100084
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- Shandong University, Qingdao, Shandong 266237
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- Brookhaven National Laboratory, Upton, New York 11973
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- Michigan State University, East Lansing, Michigan 48824
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- Lawrence Berkeley National Laboratory, Berkeley, California 94720
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- University of Illinois at Chicago, Chicago, Illinois 60607
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- Indiana University, Bloomington, Indiana 47408
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- Central China Normal University, Wuhan, Hubei 430079
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- Institute of Modern Physics, Chinese Academy of Sciences, Lanzhou, Gansu 730000
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- University of California, Los Angeles, California 90095
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- University of California, Riverside, California 92521
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- Shanghai Institute of Applied Physics, Chinese Academy of Sciences, Shanghai 201800
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- Tsinghua University, Beijing 100084
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- Purdue University, West Lafayette, Indiana 47907
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- Huzhou University, Huzhou, Zhejiang 313000
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- Lawrence Berkeley National Laboratory, Berkeley, California 94720
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- Shandong University, Qingdao, Shandong 266237
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- Shandong University, Qingdao, Shandong 266237
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- Central China Normal University, Wuhan, Hubei 430079
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- Brookhaven National Laboratory, Upton, New York 11973
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- University of California, Los Angeles, California 90095
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- Shandong University, Qingdao, Shandong 266237
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- State University of New York, Stony Brook, New York 11794
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- Shandong University, Qingdao, Shandong 266237
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- University of Illinois at Chicago, Chicago, Illinois 60607
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- Brookhaven National Laboratory, Upton, New York 11973
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- Shandong University, Qingdao, Shandong 266237
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- University of Science and Technology of China, Hefei, Anhui 230026
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- State University of New York, Stony Brook, New York 11794
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- Central China Normal University, Wuhan, Hubei 430079
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- Shandong University, Qingdao, Shandong 266237
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- University of Science and Technology of China, Hefei, Anhui 230026
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- Institute of Modern Physics, Chinese Academy of Sciences, Lanzhou, Gansu 730000
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- Institute of Modern Physics, Chinese Academy of Sciences, Lanzhou, Gansu 730000
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- University of Science and Technology of China, Hefei, Anhui 230026
| | - Y Zhang
- Central China Normal University, Wuhan, Hubei 430079
| | - Z J Zhang
- National Cheng Kung University, Tainan 70101
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- Brookhaven National Laboratory, Upton, New York 11973
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- University of Illinois at Chicago, Chicago, Illinois 60607
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- Institute of Modern Physics, Chinese Academy of Sciences, Lanzhou, Gansu 730000
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- Fudan University, Shanghai, 200433
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- Brookhaven National Laboratory, Upton, New York 11973
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- Fudan University, Shanghai, 200433
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- University of Science and Technology of China, Hefei, Anhui 230026
| | - S Zhou
- Central China Normal University, Wuhan, Hubei 430079
| | - Y Zhou
- Central China Normal University, Wuhan, Hubei 430079
| | - X Zhu
- Tsinghua University, Beijing 100084
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- Argonne National Laboratory, Argonne, Illinois 60439
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- Frankfurt Institute for Advanced Studies FIAS, Frankfurt 60438, Germany
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Li S, Liu Z. [Clinical characteristics of cardiac defects fetuses and the impact of multi-disciplinary team cooperation approach on the pregnancy decision making]. Zhonghua Fu Chan Ke Za Zhi 2023; 58:326-333. [PMID: 37217339 DOI: 10.3760/cma.j.cn112141-20221205-00740] [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: 05/24/2023]
Abstract
Objective: To analysis the clinical characteristics of 400 fetuses with heart defects and the impactors of pregnancy decision making, and explore the influence of a multi-disciplinary team (MDT) cooperation approach on it. Methods: Clinical data of 400 fetuses with abnormal cardiac structure diagnosed at Peking University First Hospital from January 2012 to June 2021 were collected, which were divided into 4 groups according to the characteristics of fetal heart defects and the presence of extracardiac abnormalities or not: single cardiac defects without extracardiac abnormalities (122 cases), multiple cardiac defects without extracardiac abnormalities (100 cases), single cardiac defects with extracardiac abnormalities (115 cases), and multiple cardiac defects with extracardiac abnormalities (63 cases). The types of fetal cardiac structural abnormalities and genetic test results, and the detection rate of pathogenic genetic abnormalities, MDT consultation and management situation, and pregnancy decision of fetuses in each group were retrospectively analyzed. A logistics regression was used to analyze the influencing factors of fetal heart defects pregnancy decision. Results: (1) Among the 400 fetal heart defects, the four most common major types were ventricular septal defect 96 (24.0%, 96/400), tetralogy of Fallot 52 (13.0%, 52/400), coarctation of the aorta 34 (8.5%, 34/400), and atrioventricular septal defect 26 (6.5%, 26/400). (2) Among the 204 fetuses undergoing genetic examination, 44 (21.6%, 44/204) pathogenic genetic abnormalities were detected. (3) Detection rate of pathogenic genetic abnormalities (39.3%, 24/61) and pregnancy termination rate (86.1%, 99/115) in the single cardiac defects with extracardiac abnormalities group were significantly higher than those in the single cardiac defects without extracardiac abnormalities group [15.1% (8/53), 44.3% (54/122), respectively] and the multiple cardiac defects without extracardiac abnormalities group [6.1% (3/49), 70.0% (70/100), respectively, both P<0.05], and the pregnancy termination rate in the multiple cardiac defects without extracardiac abnormalities group and the multiple cardiac defects with extracardiac abnormalities group (82.5%,52/63) were significantly higher than that of the single cardiac abnormalities without extracardiac abnormalities group (both P<0.05). (4) After adjusting for age, gravity, parity and performed prenatal diagnosis, maternal age, the diagnosis of gestational age, prognosis grades, co-existence of extracardiac abnormalities, presence of pathogenic genetic abnormalities, and receiving MDT consultation and management were still independent influencing factors of termination of pregnancy of fetuses with cardiac defects (all P<0.05). A total of 29 (7.2%, 29/400) fetal cardiac defects received MDT consultation and management, and compared with those without MDT management, the pregnancy termination rate in the multiple cardiac defects without extracardiac abnormalities group [74.2%(66/89) vs 4/11] and the multiple cardiac defects with extracardiac abnormalities group [87.9%(51/58) vs 1/5] were lower, the differences were statistically significant respectively (all P<0.05). Conclusions: Maternal age, diagnosed gestational age, severity of cardiac defects, extracardiac abnormalities, pathogenic genetic abnormalities and MDT counseling and management are the influencing factors of fetal heart defects pregnancy decision. MDT cooperation approach influences pregnancy decision-making and should be recommended for the management of fetal cardiac defect to reduce unnecessary termination of pregnancy and improve pregnancy outcomes.
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Affiliation(s)
- S Li
- Department of Obstetrics and Gynecology, Peking University First Hospital, Beijing 100034, China
| | - Z Liu
- Department of Obstetrics and Gynecology, Peking University First Hospital, Beijing 100034, China
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Ni M, Li L, Li W, Zhang Q, Zhao J, Shen Q, Yao D, Wang T, Li B, Ding X, Qi S, Huang X, Liu Z. Examining the relationship between birth weight and attention-deficit hyperactivity disorder diagnosis. Front Psychiatry 2023; 14:1074783. [PMID: 37293403 PMCID: PMC10244743 DOI: 10.3389/fpsyt.2023.1074783] [Citation(s) in RCA: 1] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [Track Full Text] [Figures] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 10/19/2022] [Accepted: 05/02/2023] [Indexed: 06/10/2023] Open
Abstract
Background Attention-deficit hyperactivity disorder (ADHD) is a neurodevelopmental condition that is prevalent in children worldwide. We evaluated the potential relationship between birth weight and ADHD using newly released data from the National Survey of Children's Health 2019-2020. Methods This population-based survey study used parent recollection data that were collected and submitted by 50 states and the District of Columbia to the National Survey of Children's Health database from the National Survey of Children's Health database. Those aged < 3 years and without birth weight or ADHD records were excluded. Children were stratified according to ADHD diagnosis and birth weight: very low birth weight (VLBW, < 1,500 g), low birth weight (LBW, 1,500-2,500 g), and normal birth weight (NBW, ≥ 2,500 g). Multivariable logistic regression was applied to examine the causal association between birth weight and ADHD while controlling for child and household characteristics. Results The final sample consisted of 60,358 children, of whom 6,314 (9.0%) were reported to have an ADHD diagnosis. The prevalence of ADHD was 8.7% in NBW children, 11.5% in LBW, and 14.4% in VLBW. Compared with NBW children, LBW children [adjusted odds ratio (aOR), 1.32 (95% CI, 1.03-1.68)], and VLBW children [aOR, 1.51 (95% CI, 1.06-2.15)] had a significantly higher risk of ADHD after adjusting all variables. These associations persisted in the male subgroups. Conclusion and relevance This study found that LBW and VLBW children were at a higher risk of ADHD.
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Affiliation(s)
- Meng Ni
- International Peace Maternity and Child Health Hospital, School of Medicine, Shanghai Jiao Tong University, Shanghai, China
- International Peace Maternity and Child Health Hospital of China Welfare, Shanghai Jiao Tong University, Shanghai, China
- Shanghai Key Laboratory of Embryo Original Disease, Shanghai, China
| | - Lijuan Li
- International Peace Maternity and Child Health Hospital, School of Medicine, Shanghai Jiao Tong University, Shanghai, China
- International Peace Maternity and Child Health Hospital of China Welfare, Shanghai Jiao Tong University, Shanghai, China
- Shanghai Key Laboratory of Embryo Original Disease, Shanghai, China
| | - Wei Li
- International Peace Maternity and Child Health Hospital, School of Medicine, Shanghai Jiao Tong University, Shanghai, China
- International Peace Maternity and Child Health Hospital of China Welfare, Shanghai Jiao Tong University, Shanghai, China
- Shanghai Key Laboratory of Embryo Original Disease, Shanghai, China
| | - Qianqian Zhang
- International Peace Maternity and Child Health Hospital, School of Medicine, Shanghai Jiao Tong University, Shanghai, China
- International Peace Maternity and Child Health Hospital of China Welfare, Shanghai Jiao Tong University, Shanghai, China
- Shanghai Key Laboratory of Embryo Original Disease, Shanghai, China
| | - Jiuru Zhao
- International Peace Maternity and Child Health Hospital, School of Medicine, Shanghai Jiao Tong University, Shanghai, China
- International Peace Maternity and Child Health Hospital of China Welfare, Shanghai Jiao Tong University, Shanghai, China
- Shanghai Key Laboratory of Embryo Original Disease, Shanghai, China
| | - Qianwen Shen
- International Peace Maternity and Child Health Hospital, School of Medicine, Shanghai Jiao Tong University, Shanghai, China
- International Peace Maternity and Child Health Hospital of China Welfare, Shanghai Jiao Tong University, Shanghai, China
- Shanghai Key Laboratory of Embryo Original Disease, Shanghai, China
| | - Dongting Yao
- International Peace Maternity and Child Health Hospital, School of Medicine, Shanghai Jiao Tong University, Shanghai, China
- International Peace Maternity and Child Health Hospital of China Welfare, Shanghai Jiao Tong University, Shanghai, China
- Shanghai Key Laboratory of Embryo Original Disease, Shanghai, China
| | - Tao Wang
- International Peace Maternity and Child Health Hospital, School of Medicine, Shanghai Jiao Tong University, Shanghai, China
- International Peace Maternity and Child Health Hospital of China Welfare, Shanghai Jiao Tong University, Shanghai, China
- Shanghai Key Laboratory of Embryo Original Disease, Shanghai, China
| | - Baihe Li
- International Peace Maternity and Child Health Hospital, School of Medicine, Shanghai Jiao Tong University, Shanghai, China
- International Peace Maternity and Child Health Hospital of China Welfare, Shanghai Jiao Tong University, Shanghai, China
- Shanghai Key Laboratory of Embryo Original Disease, Shanghai, China
| | - Xiya Ding
- International Peace Maternity and Child Health Hospital, School of Medicine, Shanghai Jiao Tong University, Shanghai, China
- International Peace Maternity and Child Health Hospital of China Welfare, Shanghai Jiao Tong University, Shanghai, China
- Shanghai Key Laboratory of Embryo Original Disease, Shanghai, China
| | - Sudong Qi
- International Peace Maternity and Child Health Hospital, School of Medicine, Shanghai Jiao Tong University, Shanghai, China
- International Peace Maternity and Child Health Hospital of China Welfare, Shanghai Jiao Tong University, Shanghai, China
- Shanghai Key Laboratory of Embryo Original Disease, Shanghai, China
| | - Xiaoyi Huang
- International Peace Maternity and Child Health Hospital, School of Medicine, Shanghai Jiao Tong University, Shanghai, China
- International Peace Maternity and Child Health Hospital of China Welfare, Shanghai Jiao Tong University, Shanghai, China
- Shanghai Key Laboratory of Embryo Original Disease, Shanghai, China
| | - Zhiwei Liu
- International Peace Maternity and Child Health Hospital, School of Medicine, Shanghai Jiao Tong University, Shanghai, China
- International Peace Maternity and Child Health Hospital of China Welfare, Shanghai Jiao Tong University, Shanghai, China
- Shanghai Key Laboratory of Embryo Original Disease, Shanghai, China
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149
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Shi K, Deng H, Hu J, Zhou J, Cai X, Liu Z. Effects of Steel Slag Powder Content and Curing Condition on the Performance of Alkali-Activated Materials Based UHPC Matrix. Materials (Basel) 2023; 16:ma16103875. [PMID: 37241502 DOI: 10.3390/ma16103875] [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] [Subscribe] [Scholar Register] [Received: 04/10/2023] [Revised: 05/15/2023] [Accepted: 05/18/2023] [Indexed: 05/28/2023]
Abstract
The accumulation of steel slag and other industrial solid wastes has caused serious environmental pollution and resource waste, and the resource utilization of steel slag is imminent. In this paper, alkali-activated ultra-high-performance concrete (AAM-UHPC) was prepared by replacing ground granulated blast furnace slag (GGBFS) powder with different proportions of steel slag powder, and its workability, mechanical properties, curing condition, microstructure, and pore structure were investigated. The results illustrate that the incorporation of steel slag powder can significantly delay the setting time and improve the flowability of AAM-UHPC, making it possible for engineering applications. The mechanical properties of AAM-UHPC showed a tendency to increase and then decrease with the increase in steel slag dosing and reached their best performance at a 30% dosage of steel slag. The maximum compressive strength and flexural strength are 157.1 MPa and 16.32 Mpa, respectively. High-temperature steam or hot water curing at an early age was beneficial to the strength development of AAM-UHPC, but continuous high-temperature, hot, and humid curing would lead to strength inversion. When the dosage of steel slag is 30%, the average pore diameter of the matrix is only 8.43 nm, and the appropriate steel slag dosage can reduce the heat of hydration and refine the pore size distribution, making the matrix denser.
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Affiliation(s)
- Kangyi Shi
- School of Civil Engineering and Architecture, Wuhan Polytechnic University, Wuhan 430072, China
| | - Hongyang Deng
- School of Civil Engineering and Architecture, Wuhan Polytechnic University, Wuhan 430072, China
| | - Jinxuan Hu
- School of Civil Engineering and Architecture, Wuhan Polytechnic University, Wuhan 430072, China
| | - Junqi Zhou
- School of Civil Engineering and Architecture, Wuhan Polytechnic University, Wuhan 430072, China
| | - Xinhua Cai
- State Key Laboratory of Water Resources and Hydropower Engineering Science, Wuhan University, Wuhan 430072, China
| | - Zhiwei Liu
- School of Civil Engineering and Architecture, Wuhan Polytechnic University, Wuhan 430072, China
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150
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Gong G, Cao S, Xiao H, Fang W, Que Y, Liu Z, Chen C. [Prediction of microvascular invasion in hepatocellular carcinoma with magnetic resonance imaging using models combining deep attention mechanism with clinical features]. Nan Fang Yi Ke Da Xue Xue Bao 2023; 43:839-851. [PMID: 37313827 DOI: 10.12122/j.issn.1673-4254.2023.05.21] [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 investigate the consistency and diagnostic performance of magnetic resonance imaging (MRI) for detecting microvascular invasion (MVI) of hepatocellular carcinoma (HCC) and the validity of deep learning attention mechanisms and clinical features for MVI grade prediction. METHODS This retrospective study was conducted among 158 patients with HCC treated in Shunde Hospital Affiliated to Southern Medical University between January, 2017 and February, 2020. The imaging data and clinical data of the patients were collected to establish single sequence deep learning models and fusion models based on the EfficientNetB0 and attention modules. The imaging data included conventional MRI sequences (T1WI, T2WI, and DWI), enhanced MRI sequences (AP, PP, EP, and HBP) and synthesized MRI sequences (T1mapping-pre and T1mapping-20 min), and the high-risk areas of MVI were visualized using deep learning visualization techniques. RESULTS The fusion model based on T1mapping-20min sequence and clinical features outperformed other fusion models with an accuracy of 0.8376, a sensitivity of 0.8378, a specificity of 0.8702, and an AUC of 0.8501 for detecting MVI. The deep fusion models were also capable of displaying the high-risk areas of MVI. CONCLUSION The fusion models based on multiple MRI sequences can effectively detect MVI in patients with HCC, demonstrating the validity of deep learning algorithm that combines attention mechanism and clinical features for MVI grade prediction.
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Affiliation(s)
- G Gong
- School of Biomedical Engineering, Southern Medical University, Guangzhou 510515, China
| | - S Cao
- School of Biomedical Engineering, Southern Medical University, Guangzhou 510515, China
| | - H Xiao
- School of Biomedical Engineering, Southern Medical University, Guangzhou 510515, China
| | - W Fang
- School of Biomedical Engineering, Southern Medical University, Guangzhou 510515, China
| | - Y Que
- First Affiliated Hospital of Nanchang University, Nanchang 330006, China
| | - Z Liu
- Shunde Hospital Affiliated to Southern Medical University, Foshan 528308, China
| | - C Chen
- School of Biomedical Engineering, Southern Medical University, Guangzhou 510515, China
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