1
|
Cao B, Li Q, Xu P, Zhang Y, Cai S, Rao S, Zeng M, Dai Y, Jiang S, Zhou J. Vesical Imaging-Reporting and Data System (VI-RADS) as a grouping imaging biomarker combined with a decision-tree mode to preoperatively predict the pathological grade of bladder cancer. Clin Radiol 2024; 79:e725-e735. [PMID: 38360514 DOI: 10.1016/j.crad.2024.01.031] [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] [Journal Information] [Subscribe] [Scholar Register] [Received: 09/15/2023] [Revised: 01/12/2024] [Accepted: 01/22/2024] [Indexed: 02/17/2024]
Abstract
AIM To investigate whether the Vesical Imaging-Reporting and Data System (VI-RADS) could be used to develop a new non-invasive preoperative grade-prediction system to partially predict high-grade bladder cancer (HG-BC). MATERIALS AND METHODS The present study enrolled 89 primary BC patients prospectively from March 2022 to June 2023. Receiver operating characteristic (ROC) curve analysis was performed to evaluate the diagnostic performance of VI-RADS for predicting HG-BC and muscle-invasive bladder cancer (MIBC) in the entire group. In the low VI-RADS (≤2) group, the decision tree-based method was used to obtain significant predictors and construct the decision-tree model (DT model). The performance of the DT model and low VI-RADS scores for predicting HG-BC was determined using ROC, calibration, and decision curve analyses. RESULTS At a cut-off of ≥3, the specificity and positive predictive value of VI-RADS for predicting HG-BC in the entire group was 100%, and the area under the ROC curve (AUC) was 0.697. Among 65 patients with low VI-RADS scores, the DT model showed an AUC of 0.884 in predicting HG-BC compared to 0.506 for low VI-RADS scores. Calibration and decision curve analyses showed that the DT model performed better than the low VI-RADS scores. CONCLUSION Most VI-RADS scores ≥3 correspond to HG-BCs. VI-RADS could be used as a grouping imaging biomarker for a pathological grade-prediction procedure, which in combination with the DT model for low VI-RADS (≤2) populations, would provide a potential preoperative non-invasive method of predicting HG-BC.
Collapse
Affiliation(s)
- B Cao
- Department of Radiology, Shanghai Institute of Medical Imaging, Zhongshan Hospital, Fudan University, Shanghai, China; Department of Radiology, Shanghai Geriatric Medical Center, Shanghai, China
| | - Q Li
- Department of Radiology, Shanghai Institute of Medical Imaging, Zhongshan Hospital, Fudan University, Shanghai, China
| | - P Xu
- Department of Urology, Xuhui Hospital, Fudan University, Shanghai, China
| | - Y Zhang
- MR Collaboration, Central Research Institute, United Imaging Healthcare, Shanghai, China
| | - S Cai
- Department of Radiology, Shanghai Institute of Medical Imaging, Zhongshan Hospital, Fudan University, Shanghai, China
| | - S Rao
- Department of Radiology, Shanghai Institute of Medical Imaging, Zhongshan Hospital, Fudan University, Shanghai, China; Department of Radiology, Shanghai Geriatric Medical Center, Shanghai, China
| | - M Zeng
- Department of Radiology, Shanghai Institute of Medical Imaging, Zhongshan Hospital, Fudan University, Shanghai, China; Department of Radiology, Shanghai Geriatric Medical Center, Shanghai, China
| | - Y Dai
- MR Collaboration, Central Research Institute, United Imaging Healthcare, Shanghai, China
| | - S Jiang
- Department of Urology, Zhongshan Hospital, Fudan University, Shanghai, China; Department of Urology, Zhongshan Hospital Wusong Branch, Fudan University, Shanghai, China.
| | - J Zhou
- Department of Radiology, Fudan University Zhongshan Hospital Xiamen Branch, Xiamen, China; Xiamen Municipal Clinical Research Center for Medical Imaging, Xiamen, China; Xiamen Key Clinical Specialty for Radiology, Xiamen, China.
| |
Collapse
|
2
|
Xu P, Gu Y, Sun D. Gastrointestinal: Eosinophilic peritonitis, an uncommon presentation of eosinophilic gastroenteritis. J Gastroenterol Hepatol 2024. [PMID: 38634430 DOI: 10.1111/jgh.16569] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 12/14/2023] [Accepted: 03/26/2024] [Indexed: 04/19/2024]
Affiliation(s)
- P Xu
- Division of Gastroenterology and Hepatology, School of Medicine, Renji Hospital, NHC Key Laboratory of Digestive Diseases, Shanghai Jiao Tong University, Shanghai, China
| | - Y Gu
- Department of Laboratory Medicine, School of Medicine, Renji Hospital, Shanghai Jiao Tong University, Shanghai, China
| | - D Sun
- Division of Gastroenterology and Hepatology, School of Medicine, Renji Hospital, NHC Key Laboratory of Digestive Diseases, Shanghai Jiao Tong University, Shanghai, China
| |
Collapse
|
3
|
Wei W, Xu P, Li L, Mao H, Li N, Wang XQ, Wang L, Xu ZP, Zhao S. Association of glycogen synthase kinase-3β with cognitive impairment in type 2 diabetes patients: a six-year follow-up study. Front Endocrinol (Lausanne) 2024; 15:1386773. [PMID: 38660514 PMCID: PMC11039938 DOI: 10.3389/fendo.2024.1386773] [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] [Figures] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 02/16/2024] [Accepted: 03/25/2024] [Indexed: 04/26/2024] Open
Abstract
Background Our previous multicenter case-control study showed that aging, up-regulation of platelet glycogen synthase kinase-3β (GSK-3β), impaired olfactory function, and ApoE ϵ4 genotype were associated with cognitive decline in type 2 diabetes mellitus (T2DM) patients. However, the causal relationship between these biomarkers and the development of cognitive decline in T2DM patients remains unclear. Methods To further investigate this potential relationship, we designed a 6-year follow-up study in 273 T2DM patients with normal cognitive in our previous study. Baseline characteristics of the study population were compared between T2DM patients with and without incident mild cognitive impairment (MCI). We utilized Cox proportional hazard regression models to assess the risk of cognitive impairment associated with various baseline biomarkers. Receiver operating characteristic curves (ROC) were performed to evaluate the diagnostic accuracy of these biomarkers in predicting cognitive impairment. Results During a median follow-up time of 6 years (with a range of 4 to 9 years), 40 patients (16.13%) with T2DM developed MCI. Participants who developed incident MCI were more likely to be older, have a lower education level, have more diabetic complications, a higher percentage of ApoE ϵ4 allele and a higher level of platelet GSK-3β activity (rGSK-3β) at baseline (P<0.05). In the longitudinal follow-up, individuals with higher levels of rGSK-3β were more likely to develop incident MCI, with an adjusted hazard ratio (HR) of 1.60 (95% confidence interval [CI] 1.05, 2.46), even after controlling for potential confounders. The AUC of the combination of age, rGSK-3β and ApoEϵ4 allele predicted for incident MCI was 0.71. Conclusion Platelet GSK-3β activity could be a useful biomarker to predict cognitive decline, suggesting the feasibility of identifying vulnerable population and implementing early prevention for dementia.
Collapse
Affiliation(s)
- Wei Wei
- Department of Endocrinology, The Central Hospital of Wuhan, Tongji Medical College, Huazhong University of Science and Technology, Wuhan, China
| | - Pan Xu
- Department of Neurology, The Central Hospital of Wuhan, Tongji Medical College, Huazhong University of Science and Technology, Wuhan, China
| | - Li Li
- Department of Endocrinology, The Central Hospital of Wuhan, Tongji Medical College, Huazhong University of Science and Technology, Wuhan, China
| | - Hong Mao
- Department of Endocrinology, The Central Hospital of Wuhan, Tongji Medical College, Huazhong University of Science and Technology, Wuhan, China
| | - Na Li
- Department of Endocrinology, The Central Hospital of Wuhan, Tongji Medical College, Huazhong University of Science and Technology, Wuhan, China
| | - Xiao-qing Wang
- College of Medicine and Health Science, Wuhan Polytechnic University, Wuhan, China
| | - Li Wang
- Department of Nursing, The Central Hospital of Wuhan, Tongji Medical College, Huazhong University of Science and Technology, Wuhan, China
| | - Zhi-peng Xu
- Ministry of Education Key Laboratory for Neurological Disorders, Hubei Key Laboratory for Neurological Disorders, Department of Pathophysiology, School of Basic Medicine, Tongji Medical College, Huazhong University of Science and Technology, Wuhan, China
| | - Shi Zhao
- Department of Endocrinology, The Central Hospital of Wuhan, Tongji Medical College, Huazhong University of Science and Technology, Wuhan, China
| |
Collapse
|
4
|
Jing Y, Xu P, Chen R, Li H. Exploring the Role of Traditional Chopstick Culture and Interpersonal Communication in Health Campaign-Targeted Behavior. Health Commun 2024:1-10. [PMID: 38600670 DOI: 10.1080/10410236.2024.2340866] [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: 04/12/2024]
Abstract
Traditional chopstick culture is widely recognized as a vital factor associated with health behavior. After the outbreak of COVID-19 in China, the Gongkuai campaign aims to change long-held traditions of communal eating habits. Little is known about the effect of individuals' perception of traditional chopstick culture and other factors on Gongkuai campaign-targeted goal. This study investigates how social-environmental and cognitive factors motivate individuals to use serving chopsticks (the Chinese Gongkuai campaign-targeted goal) and how such effects are moderated by traditional chopstick culture. Data was collected using a nationwide online survey and analyzed using structural equation modeling. The findings revealed that campaign-generated interpersonal communication positively affects individual cognitive factors. Furthermore, cognitive factors promote behavioral intentions to use serving chopsticks. While traditional chopstick culture does not directly influence an intention to use serving chopsticks, it plays a different role in the relationships between three cognitive factors and serving chopsticks use intention. Based on the results, policy implications about how to motivate individuals to use serving chopsticks are discussed.
Collapse
Affiliation(s)
- Yan Jing
- School of Health Service Management, Anhui Medical University
| | - Pan Xu
- Department of Education, Ithaca College
| | - Ren Chen
- School of Health Service Management, Anhui Medical University
| | - Hui Li
- School of Health Service Management, Anhui Medical University
| |
Collapse
|
5
|
Yu S, Jia H, Ding S, Zhang M, Li F, Xu P, Tian Y, Ma L, Gong L, Feng J, Sun Z, Qian F, Li H. Efficacy and safety of intracoronary pro-urokinase combined with low-pressure balloon pre-dilatation during percutaneous coronary intervention in patients with anterior ST-segment elevation myocardial infarction. J Cardiothorac Surg 2024; 19:180. [PMID: 38580976 PMCID: PMC10996115 DOI: 10.1186/s13019-024-02699-7] [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] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 09/17/2023] [Accepted: 03/27/2024] [Indexed: 04/07/2024] Open
Abstract
BACKGROUND The efficacy and safety of low-pressure balloon pre-dilatation before intracoronary pro-urokinase (pro-UK) in preventing no-reflow during percutaneous coronary intervention (PCI) remains unknown. This study aimed to evaluate the clinical outcomes of intracoronary pro-UK combined with low-pressure balloon pre-dilatation in patients with anterior ST-segment-elevation myocardial infarction (STEMI). METHODS This was a randomized, single-blind, investigator-initiated trial that included 179 patients diagnosed with acute anterior STEMI. All patients were eligible for PCI and were randomized into two groups: intracoronary pro-UK combined with (ICPpD group, n = 90) or without (ICP group, n = 89) low-pressure balloon pre-dilatation. The main efficacy endpoint was complete epicardial and myocardial reperfusion. The safety endpoints were major adverse cardiovascular events (MACEs), which were analyzed at 12 months follow-up. RESULTS Patients in the ICPpD group presented significantly higher TIMI myocardial perfusion grade 3 (TMPG3) compared to those in the ICP group (77.78% versus 68.54%, P = 0.013), and STR ≥ 70% after PCI 30 min (34.44% versus 26.97%, P = 0.047) or after PCI 90 min (40.0% versus 31.46%, P = 0.044). MACEs occurred in 23 patients (25.56%) in the ICPpD group and in 32 patients (35.96%) in the ICP group. There was no difference in hemorrhagic complications during hospitalization between the groups. CONCLUSION Patients with acute anterior STEMI presented more complete epicardial and myocardial reperfusion with adjunctive low-pressure balloon pre-dilatation before intracoronary pro-UK during PCI. TRIAL REGISTRATION 2019xkj213.
Collapse
Affiliation(s)
- Shicheng Yu
- Department of Cardiology, Lu'an Hospital of Anhui Medical University, Lu'an, Anhui, 237000, People's Republic of China.
| | - Haoxuan Jia
- Graduate School of Bengbu Medical College, Bengbu, Anhui, 233004, People's Republic of China
| | - Shengkai Ding
- Department of Cardiology, Lu'an Hospital of Anhui Medical University, Lu'an, Anhui, 237000, People's Republic of China
| | - Mengda Zhang
- Department of Cardiology, Lu'an Hospital of Anhui Medical University, Lu'an, Anhui, 237000, People's Republic of China
| | - Fengyun Li
- Department of Cardiology, Lu'an Hospital of Anhui Medical University, Lu'an, Anhui, 237000, People's Republic of China
| | - Pan Xu
- Department of Cardiology, Lu'an Hospital of Anhui Medical University, Lu'an, Anhui, 237000, People's Republic of China
| | - Yuan Tian
- Department of Cardiology, Lu'an Hospital of Anhui Medical University, Lu'an, Anhui, 237000, People's Republic of China
| | - Lingling Ma
- Department of Cardiology, Lu'an Hospital of Anhui Medical University, Lu'an, Anhui, 237000, People's Republic of China
| | - Lijie Gong
- Department of Cardiology, Lu'an Hospital of Anhui Medical University, Lu'an, Anhui, 237000, People's Republic of China
| | - Jun Feng
- Department of Cardiology, Lu'an Hospital of Anhui Medical University, Lu'an, Anhui, 237000, People's Republic of China
| | - Zhaojin Sun
- Department of Cardiology, Lu'an Hospital of Anhui Medical University, Lu'an, Anhui, 237000, People's Republic of China
| | - Fudong Qian
- Department of Cardiology, Lu'an Hospital of Anhui Medical University, Lu'an, Anhui, 237000, People's Republic of China
| | - Hui Li
- Department of Cardiology, Lu'an Hospital of Anhui Medical University, Lu'an, Anhui, 237000, People's Republic of China
| |
Collapse
|
6
|
Zhang Z, Xu P, Duan Z, Lu L, Nan Z, Zhang J. Overexpression of P5CDH from Cleistogenes songorica improves alfalfa growth performance under field drought conditions. Plant Physiol Biochem 2024; 209:108551. [PMID: 38537382 DOI: 10.1016/j.plaphy.2024.108551] [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: 01/16/2024] [Revised: 03/18/2024] [Accepted: 03/22/2024] [Indexed: 04/06/2024]
Abstract
Water stress affects the metabolic regulation and delays the growth and development of alfalfa, causing a reduction in biomass. New alfalfa germplasm was created with improved drought tolerance in greenhouse conditions by introducing the key gene P5CDH1 from C. songorica, a xerophytic grass. However, the field adaptability and response mechanism of new drought-tolerant alfalfa germplasms under water stress are still unclear. In the present study, the yield and quality traits of transgenic CsP5CDH1 alfalfa lines under water stress and normal irrigation conditions were measured and analyzed for two years. The genetic variance components of the tested traits were calculated from the data fitted by the mixed linear model. The plant height of all lines showed significant genotypic variation (σ2g) (P < 0.05), and the stem diameter, stem number, and dry weight of all lines had a significant genotype × environment interaction (σ2ge) (P < 0.05). The heritability (H) of plant height, stem diameter, stem number, dry weight and leaf-to-stem ratio of alfalfa lines were 0.87, 0.52, 0.59, 0.52 and 0.50, respectively. There were significant genotype × environment interactions (σ2ge) (P < 0.05) for the quality traits of all lines. The heritabilities (H) of acid detergent fiber and neutral detergent fiber were 0.65 and 0.64, respectively. The results of transcriptional expression analysis with RNA-seq showed that the genes MsProDH1, MsProDH4, MsProDH5, MsP5CDH1, MsP5CS5, MsP5CS9, and MsP5CR1, which are involved in the proline metabolism pathway, played an important role in the drought tolerance of innovative alfalfa germplasm. Under water stress, with the regulation of key genes in the proline metabolism pathway, the proline content of all alfalfa lines increased to varying degrees. Among them, the proline content in the shoots and roots of transgenic line L6 was 7.29 times and 12.22 times that under normal irrigation conditions, respectively. The present study helped to clarify that the new germplasm of alfalfa transformed with the CsP5CDH gene synthesized a large amount of proline under water stress, and effectively slowed leaf water loss, thus improving the drought resistance of alfalfa.
Collapse
Affiliation(s)
- Zhengshe Zhang
- State Key Laboratory of Herbage Improvement and Grassland Agro-ecosystems, Key Laboratory of Grassland Livestock Industry Innovation, Ministry of Agriculture and Rural Affairs, Engineering Research Center of Grassland Industry, Ministry of Education, College of Pastoral Agriculture Science and Technology, Lanzhou University, Lanzhou, 730020, China; State Key Laboratory of Plateau Ecology and Agriculture, Qinghai University, Xining, 810016, China
| | - Pan Xu
- State Key Laboratory of Herbage Improvement and Grassland Agro-ecosystems, Key Laboratory of Grassland Livestock Industry Innovation, Ministry of Agriculture and Rural Affairs, Engineering Research Center of Grassland Industry, Ministry of Education, College of Pastoral Agriculture Science and Technology, Lanzhou University, Lanzhou, 730020, China
| | - Zhen Duan
- State Key Laboratory of Herbage Improvement and Grassland Agro-ecosystems, Key Laboratory of Grassland Livestock Industry Innovation, Ministry of Agriculture and Rural Affairs, Engineering Research Center of Grassland Industry, Ministry of Education, College of Pastoral Agriculture Science and Technology, Lanzhou University, Lanzhou, 730020, China
| | - Liyan Lu
- Guangxi Subtropical Crops Research Institute, Nanning, 530001, China
| | - Zhibiao Nan
- State Key Laboratory of Herbage Improvement and Grassland Agro-ecosystems, Key Laboratory of Grassland Livestock Industry Innovation, Ministry of Agriculture and Rural Affairs, Engineering Research Center of Grassland Industry, Ministry of Education, College of Pastoral Agriculture Science and Technology, Lanzhou University, Lanzhou, 730020, China
| | - Jiyu Zhang
- State Key Laboratory of Herbage Improvement and Grassland Agro-ecosystems, Key Laboratory of Grassland Livestock Industry Innovation, Ministry of Agriculture and Rural Affairs, Engineering Research Center of Grassland Industry, Ministry of Education, College of Pastoral Agriculture Science and Technology, Lanzhou University, Lanzhou, 730020, China.
| |
Collapse
|
7
|
Kong WJ, Zhao CZ, Sun S, Shen L, Huang XY, Xu P, Lu Y, Huang WZ, Huang JQ, Zhang Q. From Liquid to Solid-State Batteries: Li-Rich Mn-Based Layered Oxides as Emerging Cathodes with High Energy Density. Adv Mater 2024; 36:e2310738. [PMID: 38054396 DOI: 10.1002/adma.202310738] [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: 10/15/2023] [Revised: 11/16/2023] [Indexed: 12/07/2023]
Abstract
Li-rich Mn-based (LRMO) cathode materials have attracted widespread attention due to their high specific capacity, energy density, and cost-effectiveness. However, challenges such as poor cycling stability, voltage deca,y and oxygen escape limit their commercial application in liquid Li-ion batteries. Consequently, there is a growing interest in the development of safe and resilient all-solid-state batteries (ASSBs), driven by their remarkable safety features and superior energy density. ASSBs based on LRMO cathodes offer distinct advantages over conventional liquid Li-ion batteries, including long-term cycle stability, thermal and wider electrochemical windows stability, as well as the prevention of transition metal dissolution. This review aims to recapitulate the challenges and fundamental understanding associated with the application of LRMO cathodes in ASSBs. Additionally, it proposes the mechanisms of interfacial mechanical and chemical instability, introduces noteworthy strategies to enhance oxygen redox reversibility, enhances high-voltage interfacial stability, and optimizes Li+ transfer kinetics. Furthermore, it suggests potential research approaches to facilitate the large-scale implementation of LRMO cathodes in ASSBs.
Collapse
Affiliation(s)
- Wei-Jin Kong
- Beijing Key Laboratory of Green Chemical Reaction Engineering and Technology, Department of Chemical Engineering, Tsinghua University, Beijing, 100084, China
| | - Chen-Zi Zhao
- Beijing Key Laboratory of Green Chemical Reaction Engineering and Technology, Department of Chemical Engineering, Tsinghua University, Beijing, 100084, China
| | - Shuo Sun
- Beijing Key Laboratory of Green Chemical Reaction Engineering and Technology, Department of Chemical Engineering, Tsinghua University, Beijing, 100084, China
- School of Materials Science and Engineering, Nanjing Tech University, Nanjing, 211816, China
| | - Liang Shen
- Beijing Key Laboratory of Green Chemical Reaction Engineering and Technology, Department of Chemical Engineering, Tsinghua University, Beijing, 100084, China
| | - Xue-Yan Huang
- Beijing Key Laboratory of Green Chemical Reaction Engineering and Technology, Department of Chemical Engineering, Tsinghua University, Beijing, 100084, China
| | - Pan Xu
- Beijing Key Laboratory of Green Chemical Reaction Engineering and Technology, Department of Chemical Engineering, Tsinghua University, Beijing, 100084, China
| | - Yang Lu
- Beijing Key Laboratory of Green Chemical Reaction Engineering and Technology, Department of Chemical Engineering, Tsinghua University, Beijing, 100084, China
| | - Wen-Ze Huang
- Beijing Key Laboratory of Green Chemical Reaction Engineering and Technology, Department of Chemical Engineering, Tsinghua University, Beijing, 100084, China
| | - Jia-Qi Huang
- Advanced Research Institute of Multidisciplinary Science, Beijing Institute of Technology, Beijing, 100081, China
| | - Qiang Zhang
- Beijing Key Laboratory of Green Chemical Reaction Engineering and Technology, Department of Chemical Engineering, Tsinghua University, Beijing, 100084, China
| |
Collapse
|
8
|
Xu P, Xu H, Lu Q, Ling S, Hu E, Song Y, Liu J, Yi B. Reproductive outcomes following copper‑containing intrauterine device after hysteroscopic lysis for intrauterine adhesions. Exp Ther Med 2024; 27:175. [PMID: 38476904 PMCID: PMC10928823 DOI: 10.3892/etm.2024.12463] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 04/07/2023] [Accepted: 02/07/2024] [Indexed: 03/14/2024] Open
Abstract
The present study aimed to investigate the reproductive outcomes of copper-containing intrauterine devices (IUDs) after hysteroscopic lysis in patients with mild to severe intrauterine adhesions (IUAs), according to the American Fertility Society (AFS) classification. Therefore, a prospective randomized controlled study was conducted at the Affiliated Jinhua Hospital of Wenzhou Medical University (Jinhua, China). A total of 173 women with IUAs were initially recruited between January 2020 and June 2021 and were then randomized to the copper-containing IUD group or the no barrier device group. Following hysteroscopic procedure, the fertility and obstetric outcomes were analyzed. Among the 173 patients enrolled, a total of 109 participants completed the study protocol. The results showed that AFS scores were not significantly different between the two groups prior to hysteroscopy. In addition, no statistically significant differences were recorded in pregnancy and live birth rates between the copper-containing IUD and no barrier device groups. Overall, the results of the current study indicated that the copper-containing IUDs had no positive effect on pregnancy and live birth rates in patients with mild to severe IUAs after hysteroscopic adhesiolysis. The present trial was retrospectively registered in the Chinese Clinical Trial Registry on 28th December 2023 (registration no. ChiCTR2300079233).
Collapse
Affiliation(s)
- Pan Xu
- Department of Gynecology, Affiliated Jinhua Hospital of Wenzhou Medical University, Jinhua, Zhejiang 321000, P.R. China
- Women's Hospital, School of Medicine, Zhejiang University, Hangzhou, Zhejiang 310006, P.R. China
| | - Heng Xu
- Department of Gynecology, Affiliated Jinhua Hospital of Wenzhou Medical University, Jinhua, Zhejiang 321000, P.R. China
- Women's Hospital, School of Medicine, Zhejiang University, Hangzhou, Zhejiang 310006, P.R. China
| | - Qiaoqiao Lu
- Department of Gynecology, Affiliated Jinhua Hospital of Wenzhou Medical University, Jinhua, Zhejiang 321000, P.R. China
| | - Shanshan Ling
- Department of Gynecology, Affiliated Jinhua Hospital of Wenzhou Medical University, Jinhua, Zhejiang 321000, P.R. China
| | - E Hu
- Department of Gynecology, Affiliated Jinhua Hospital of Wenzhou Medical University, Jinhua, Zhejiang 321000, P.R. China
| | - Ying Song
- Department of Gynecology, Affiliated Jinhua Hospital of Wenzhou Medical University, Jinhua, Zhejiang 321000, P.R. China
| | - Jie Liu
- Department of Gynecology, Affiliated Jinhua Hospital of Wenzhou Medical University, Jinhua, Zhejiang 321000, P.R. China
| | - Bixia Yi
- Department of Gynecology, Affiliated Jinhua Hospital of Wenzhou Medical University, Jinhua, Zhejiang 321000, P.R. China
| |
Collapse
|
9
|
Huang X, Yuan S, Xu P, Li Y, Zhou A. Ultrasound-based Radiomics Predicts Short-term Outcomes in Hepatitis B Virus-related Acute-on-chronic Liver Failure. Curr Med Imaging 2024; 20:CMIR-EPUB-139199. [PMID: 38494940 DOI: 10.2174/0115734056274006240116065707] [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: 07/25/2023] [Revised: 11/29/2023] [Accepted: 12/28/2023] [Indexed: 03/19/2024]
Abstract
BACKGROUND The prognosis in hepatitis B virus-associated acute-on-chronic liver failure (HBV-ACLF) is challenging due to heterogeneity. Radiomics may enable noninvasive outcome prediction. OBJECTIVE This study aimed to evaluate ultrasound-based radiomics for predicting outcomes in HBV-ACLF. METHODS We enrolled 264 HBV-ACLF patients, dividing them into a training cohort (n=184) and a validation cohort (n=80). From hepatic ultrasound images, 455 radiomic features were extracted. Radiomics-based phenotypes were identified through unsupervised hierarchical clustering. A radiomic signature was developed using a Cox-LASSO algorithm to predict 30-day mortality. Furthermore, we integrated the signature with independent clinical predictors via multivariate Cox regression to construct a combined clinical-radiomic nomogram (CCR-nomogram). Integrated discrimination improvement (IDI) and net reclassification improvement (NRI) assessed performance improvements achieved by adding radiomic features to clinical data. RESULTS Both clustering and radiomic signature identified two distinct subgroups with significant differences in clinical characteristics and 30-day prognosis. In the training cohort, the signature achieved a C-index of 0.746, replicated in validation with a C-index of 0.747. The CCR-nomogram achieved C-indices of 0.834 and 0.819 for the training and validation cohorts. Incorporating radiomic features significantly improved the CCRnomogram over the signature and clinical-only models, evidenced by IDI of 0.108-0.264 and NRI of 0.292-0.540 in both cohorts (all p0.05). CONCLUSION Ultrasound-based radiomics offered prognostic information complementary to clinical data and demonstrated potential to enhance outcome prediction in HBV-ACLF.
Collapse
Affiliation(s)
- Xingzhi Huang
- Department of Ultrasonography, The First Affiliated Hospital, Jiangxi Medical College, Nanchang University, Nanchang, Jiangxi, China
| | - Songsong Yuan
- Department of Infectious Disease, The First Affiliated Hospital, Jiangxi Medical College, Nanchang University, Nanchang, Jiangxi, China
| | - Pan Xu
- Department of Ultrasonography, The First Affiliated Hospital, Jiangxi Medical College, Nanchang University, Nanchang, Jiangxi, China
| | - Yaohui Li
- Department of Ultrasonography, The First Affiliated Hospital, Jiangxi Medical College, Nanchang University, Nanchang, Jiangxi, China
| | - Aiyun Zhou
- Department of Ultrasonography, The First Affiliated Hospital, Jiangxi Medical College, Nanchang University, Nanchang, Jiangxi, China
| |
Collapse
|
10
|
Kim Y, Jung KY, Kim YH, Xu P, Kang BE, Jo Y, Pandit N, Kwon J, Gariani K, Gariani J, Lee J, Verbeek J, Nam S, Bae SJ, Ha KT, Yi HS, Shong M, Kim KH, Kim D, Jung HJ, Lee CW, Kim KR, Schoonjans K, Auwerx J, Ryu D. Inhibition of SIRT7 overcomes sorafenib acquired resistance by suppressing ERK1/2 phosphorylation via the DDX3X-mediated NLRP3 inflammasome in hepatocellular carcinoma. Drug Resist Updat 2024; 73:101054. [PMID: 38277756 PMCID: PMC10935544 DOI: 10.1016/j.drup.2024.101054] [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: 09/07/2023] [Revised: 12/10/2023] [Accepted: 01/11/2024] [Indexed: 01/28/2024]
Abstract
AIMS Sirtuin 7 (SIRT7) plays an important role in tumor development, and has been characterized as a potent regulator of cellular stress. However, the effect of SIRT7 on sorafenib acquired resistance remains unclear and a possible anti-tumor mechanism beyond this process in HCC has not been clarified. We examined the therapeutic potential of SIRT7 and determined whether it functions synergistically with sorafenib to overcome chemoresistance. METHODS Cancer Genome Atlas-liver HCC data and unbiased gene set enrichment analyses were used to identify SIRT7 as a potential effector molecule in sorafenib acquired resistance. Two types of SIRT7 chemical inhibitors were developed to evaluate its therapeutic properties when synergized with sorafenib. Mass spectrometry was performed to discover a direct target of SIRT7, DDX3X, and DDX3X deacetylation levels and protein stability were explored. Moreover, an in vivo xenograft model was used to confirm anti-tumor effect of SIRT7 and DDX3X chemical inhibitors combined with sorafenib. RESULTS SIRT7 inhibition mediated DDX3X depletion can re-sensitize acquired sorafenib resistance by disrupting NLRP3 inflammasome assembly, finally suppressing hyperactive ERK1/2 signaling in response to NLRP3 inflammasome-mediated IL-1β inhibition. CONCLUSIONS SIRT7 is responsible for sorafenib acquired resistance, and its inhibition would be beneficial when combined with sorafenib by suppressing hyperactive pro-cell survival ERK1/2 signaling.
Collapse
Affiliation(s)
- Yuna Kim
- Department of Molecular Cell Biology, Sungkyunkwan University School of Medicine, Suwon, Republic of Korea.
| | - Kwan-Young Jung
- Therapeutics & Biotechnology Division, Korea Research Institute of Chemical Technology, Daejeon, Republic of Korea
| | - Yun Hak Kim
- Department of Anatomy, School of Medicine, Pusan National University, Yangsan, Republic of Korea; Department of Biomedical Informatics, School of Medicine, Pusan National University, Yangsan, Republic of Korea
| | - Pan Xu
- Laboratory of Integrative Systems Physiology, Institute of Bioengineering, Ecole Polytechnique Federale de Lausanne, Lausanne, Switzerland
| | - Baeki E Kang
- Department of Molecular Cell Biology, Sungkyunkwan University School of Medicine, Suwon, Republic of Korea
| | - Yunju Jo
- Department of Biomedical Science and Engineering, Gwangju Institute of Science and Technology, Gwangju, Republic of Korea
| | - Navin Pandit
- Therapeutics & Biotechnology Division, Korea Research Institute of Chemical Technology, Daejeon, Republic of Korea
| | - Jeongho Kwon
- Department of Molecular Cell Biology, Sungkyunkwan University School of Medicine, Suwon, Republic of Korea
| | - Karim Gariani
- Service of Endocrinology, Diabetes, Nutrition and Therapeutic Patient Education, Geneva University Hospitals, Geneva, Switzerland
| | - Joanna Gariani
- Department of radiology, Hirslanden Grangettes Clinic, Geneva, Switzerland
| | - Junguee Lee
- Department of Pathology, Daejeon St. Mary's Hospital, College of Medicine, The Catholic University of Korea, Daejeon, Republic of Korea
| | - Jef Verbeek
- Laboratory of Hepatology, Department of Chronic Diseases and Metabolism (CHROMETA), KU Leuven, Belgium; Department of Gastroenterology and Hepatology, University Hospitals KU Leuven, Leuven, Belgium
| | - Seungyoon Nam
- Department of Genome Medicine and Science, AI Convergence Center for Medical Science, Gachon Institute of Genome Medicine and Science, Gachon University Gil Medical Center, Gachon University College of Medicine, Incheon, Republic of Korea; Department of Health Sciences and Technology, Gachon Advanced Institute for Health Sciences and Technology (GAIHST), Republic of Korea
| | - Sung-Jin Bae
- Department of Molecular Biology and Immunology, Kosin University College of Medicine, Busan, Republic of Korea
| | - Ki-Tae Ha
- Department of Korean Medical Science, Pusan National University School of Korean Medicine, Yangsan, Republic of Korea
| | - Hyon-Seung Yi
- Laboratory of Endocrinology and Immune System, Chungnam National University School of Medicine, Daejeon, Republic of Korea
| | - Minho Shong
- Research Center for Endocrine and Metabolic Diseases, Chungnam National University School of Medicine, Daejeon, Republic of Korea
| | - Kyun-Hwan Kim
- Department of Molecular Cell Biology, Sungkyunkwan University School of Medicine, Suwon, Republic of Korea
| | - Doyoun Kim
- Therapeutics & Biotechnology Division, Korea Research Institute of Chemical Technology, Daejeon, Republic of Korea
| | - Hee Jung Jung
- Therapeutics & Biotechnology Division, Korea Research Institute of Chemical Technology, Daejeon, Republic of Korea
| | - Chang-Woo Lee
- Department of Molecular Cell Biology, Sungkyunkwan University School of Medicine, Suwon, Republic of Korea
| | - Kwang Rok Kim
- Therapeutics & Biotechnology Division, Korea Research Institute of Chemical Technology, Daejeon, Republic of Korea.
| | - Kristina Schoonjans
- Laboratory of Integrative Systems Physiology, Institute of Bioengineering, Ecole Polytechnique Federale de Lausanne, Lausanne, Switzerland.
| | - Johan Auwerx
- Laboratory of Integrative Systems Physiology, Institute of Bioengineering, Ecole Polytechnique Federale de Lausanne, Lausanne, Switzerland.
| | - Dongryeol Ryu
- Department of Molecular Cell Biology, Sungkyunkwan University School of Medicine, Suwon, Republic of Korea; Department of Biomedical Science and Engineering, Gwangju Institute of Science and Technology, Gwangju, Republic of Korea.
| |
Collapse
|
11
|
Shan JT, Hua ZH, Xu P, Cao H, Jiao ZY, Sun LK, Liu SR, Xia L, Xue WH, Li Z. [Mid- and long-term results of surgical treatment of brachiocephalic Takayasu arteritis]. Zhonghua Wai Ke Za Zhi 2024; 62:229-234. [PMID: 38291639 DOI: 10.3760/cma.j.cn112139-20230904-00090] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [MESH Headings] [Grants] [Subscribe] [Scholar Register] [Indexed: 02/01/2024]
Abstract
Objective: To examine the mid - and long-term outcomes of surgical treatment of brachiocephalic Takayasu arteritis. Methods: This is a retrospective case series study. The clinical data of 39 patients,which had been diagnosed as brachiocephalic Takayasu arteritis (244 cases),who underwent surgical treatment,were analyzed between July 2012 to November 2022 at Department of Endoluminal Vascular Surgery, the First Affiliated Hospital of Zhengzhou University. There were 5 males and 34 females, aged (37.9±14.0)years (range:13 to 71 years). Despite medical treatment, the patients suffered severe ischemic symptoms continually and then underwent surgical interventions. Among them, 20 patients underwent endovascular procedures, 11 underwent open surgical procedures, and 8 underwent hybrid procedures. Patients were followed up through outpatient visits at 1, 3, 6 months after surgery and once every year later. Follow-up was conducted until November 2022. Operation status, postoperative complications and re-intervention of patients were recorded and the Kaplan-Meier survival curves were used to analyze postoperative vascular patency rates. Results: All 39 surgeries were successful, with no intraoperative death or serious complications. The follow-up period was (48.8±38.2) months(range:1 to 123 months). Thirty-three patients experienced symptom relief after surgery, and 6 patients required secondary surgical interventions. The patency rates for the endovascular treatment group at 1-, 3-, 5-, and 10-year were 95.0%, 75.2%, 60.2%, and 60.2%, respectively, while the patency rates for open surgery were all 90.9%. In the hybrid surgery group, the patency rates at 1-, 3-, 5-, and 8-year were all 87.5%. Conclusion: For patients with brachiocephalic Takayasu arteritis, choice of an appropriate blood flow revascularization intervention should be based on the patient's condition,and the mid-and long-term outcomes are satisfactory.
Collapse
Affiliation(s)
- J T Shan
- Department of Endoluminal Vascular Surgery, the First Affiliated Hospital of Zhengzhou University, Zhengzhou 450000, China
| | - Z H Hua
- Department of Endoluminal Vascular Surgery, the First Affiliated Hospital of Zhengzhou University, Zhengzhou 450000, China
| | - P Xu
- Department of Endoluminal Vascular Surgery, the First Affiliated Hospital of Zhengzhou University, Zhengzhou 450000, China
| | - H Cao
- Department of Endoluminal Vascular Surgery, the First Affiliated Hospital of Zhengzhou University, Zhengzhou 450000, China
| | - Z Y Jiao
- Department of Endoluminal Vascular Surgery, the First Affiliated Hospital of Zhengzhou University, Zhengzhou 450000, China
| | - L K Sun
- Department of Endoluminal Vascular Surgery, the First Affiliated Hospital of Zhengzhou University, Zhengzhou 450000, China
| | - S R Liu
- Department of Endoluminal Vascular Surgery, the First Affiliated Hospital of Zhengzhou University, Zhengzhou 450000, China
| | - L Xia
- Department of Endoluminal Vascular Surgery, the First Affiliated Hospital of Zhengzhou University, Zhengzhou 450000, China
| | - W H Xue
- Department of Endoluminal Vascular Surgery, the First Affiliated Hospital of Zhengzhou University, Zhengzhou 450000, China
| | - Z Li
- Department of Endoluminal Vascular Surgery, the First Affiliated Hospital of Zhengzhou University, Zhengzhou 450000, China
| |
Collapse
|
12
|
Zhou BN, Hua ZH, Xia L, Cao H, Jiao ZY, Xu P, Zhang S, Zhang Q, Li Z. [Clinical characteristics and efficacy analysis of various treatments for spontaneous carotid artery dissection]. Zhonghua Yi Xue Za Zhi 2024; 104:337-343. [PMID: 38281801 DOI: 10.3760/cma.j.cn112137-20231007-00645] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [MESH Headings] [Grants] [Subscribe] [Scholar Register] [Indexed: 01/30/2024]
Abstract
Objective: To investigate the clinical features of spontaneous carotid artery dissection (SCAD) and the efficacy of different treatment methods. Methods: The clinical data of 164 patients with SCAD who were treated at the First Affiliated Hospital of Zhengzhou University from June 2018 to January 2023 were retrospectively analyzed. There were 127 males and 37 females, with a mean age of (49.5±11.1) years. They were divided into conservative treatment group (n=100) and surgical treatment group (n=64) according to whether they received surgical treatment. Patients were followed at 3, 6, and 12 months after discharge and annually thereafter through outpatient or inpatient visits. The incidence of cerebral ischemic events, cerebral hemorrhage events, and mortality rates during hospitalization and follow-up periods were analyzed in the two patient groups. To examine correlates of revascularization in SCAD, multifactorial logistic regression analysis was used. Results: Of the 164 patients, 18 patients had bilateral SCAD and a total of 182 carotid arteries were included in the study. Ischemic stroke (85 cases, 51.8%) and transient ischemic attack (31 cases, 18.9%) were the main clinical manifestations in SCAD patients. Hypertension (81 cases, 49.4%) and hyperlipidemia (39 cases, 23.8%) were the main comorbidities in SCAD patients. During hospitalization, 100 patients in the conservative treatment group received medication in 113 carotid arteries, no new cerebral ischemic events or symptomatic intracranial hemorrhage events occurred, and no death occurred. A total of 69 carotid arteries were surgically treated in 64 patients in the surgical treatment group. The success rate was 97.1% (67/69). In the surgical treatment group, the proportion of carotid stenosis degree≥90% was 47.8% (33/69), the proportion of type Ⅱ SCAD was 60.9% (42/69), and the proportion discharged from the hospital to receive antiplatelet therapy was 92.8% (64/69), which were higher than those in the conservative treatment group, which were 25.7% (29/113), 45.1% (51/113), and 73.5% (83/113), respectively (all P<0.05). The follow-up time [M(Q1, Q3)] in the conservative treatment group was 24 (13, 34) months, with an 8% (9/113) rate of ischemic events and a 7.1% (8/113) rate of readmission; in the surgical treatment group, the follow-up time was 24 (11, 38) months, and there were no new ischemic events or deaths. The results of multifactorial logistic regression analysis showed that the degree of true luminal stenosis<90% (OR=2.738, 95%CI: 1.067-7.026, P=0.036) and type Ⅰ dissections (OR=2.656, 95%CI: 1.189-5.935, P=0.017) were the correlates of complete revascularization. Conclusions: Ischemic stroke and transient ischemic attack are the main clinical manifestations in patients with SCAD. Pharmacological antithrombotic therapy remains the method of choice, and endovascular treatment after failure of conservative therapy reduces the risk of recurrent long-term cerebral ischemic events and the re-admission rate of patients.
Collapse
Affiliation(s)
- B N Zhou
- Department of Endovascular Surgery, the First Affiliated Hospital of Zhengzhou University, Zhengzhou 450052, China
| | - Z H Hua
- Department of Endovascular Surgery, the First Affiliated Hospital of Zhengzhou University, Zhengzhou 450052, China
| | - L Xia
- Department of Endovascular Surgery, the First Affiliated Hospital of Zhengzhou University, Zhengzhou 450052, China
| | - H Cao
- Department of Endovascular Surgery, the First Affiliated Hospital of Zhengzhou University, Zhengzhou 450052, China
| | - Z Y Jiao
- Department of Endovascular Surgery, the First Affiliated Hospital of Zhengzhou University, Zhengzhou 450052, China
| | - P Xu
- Department of Endovascular Surgery, the First Affiliated Hospital of Zhengzhou University, Zhengzhou 450052, China
| | - S Zhang
- Department of Endovascular Surgery, the First Affiliated Hospital of Zhengzhou University, Zhengzhou 450052, China
| | - Q Zhang
- Department of Endovascular Surgery, the First Affiliated Hospital of Zhengzhou University, Zhengzhou 450052, China
| | - Z Li
- Department of Endovascular Surgery, the First Affiliated Hospital of Zhengzhou University, Zhengzhou 450052, China
| |
Collapse
|
13
|
Qiao G, Xu P, Guo T, He X, Yue Y, Yang B. Genome-wide detection of structural variation in some sheep breeds using whole-genome long-read sequencing data. J Anim Breed Genet 2024. [PMID: 38247268 DOI: 10.1111/jbg.12846] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 11/08/2022] [Revised: 12/21/2023] [Accepted: 12/29/2023] [Indexed: 01/23/2024]
Abstract
Genomic structural variants (SVs) constitute a significant proportion of genetic variation in the genome. The rapid development of long-reads sequencing has facilitated the detection of long-fragment SVs. There is no published study to detect SVs using long-read data from sheep. We applied a long-read mapping approach to detect SVs and characterized a total of 30,771 insertions, deletions, inversions and translocations. We identified 716, 916, 842 and 303 specific SVs in Southdown sheep, Alpine merino sheep, Qilian White Tibetan sheep and Oula sheep, respectively. We annotated these SVs and found that these SV-related genes were primarily enriched in the well-established pathways involved in the regulation of the immune system, growth and development and environmental adaptability. We detected and annotated SVs based on NGS resequencing data to validate the accuracy based on third-generation detection. Moreover, five candidate SVs were verified using the PCR method in 50 sheep. Our study is the first to use a long-reads sequencing approach to construct a novel structural variation map in sheep. We have completed a preliminary exploration of the potential effects of SVs on sheep.
Collapse
Affiliation(s)
- Guoyan Qiao
- Lanzhou Institute of Husbandry and Pharmaceutical Sciences of Chinese Academy of Agricultural Sciences, Lanzhou, China
- College of Ecological Agriculture and Animal Husbandry, Qinghai Communications Technical College, Xining, China
| | - Pan Xu
- State Key Laboratory of Grassland Agro-Ecosystems, Key Laboratory of Grassland Livestock Industry Innovation, Ministry of Agriculture and Rural Affairs, Engineering Research Center of Grassland Industry, Ministry of Education, College of Pastoral Agriculture Science and Technology, Lanzhou University, Lanzhou, China
| | - Tingting Guo
- Lanzhou Institute of Husbandry and Pharmaceutical Sciences of Chinese Academy of Agricultural Sciences, Lanzhou, China
| | - Xue He
- Lanzhou Institute of Husbandry and Pharmaceutical Sciences of Chinese Academy of Agricultural Sciences, Lanzhou, China
| | - Yaojing Yue
- Lanzhou Institute of Husbandry and Pharmaceutical Sciences of Chinese Academy of Agricultural Sciences, Lanzhou, China
| | - Bohui Yang
- Lanzhou Institute of Husbandry and Pharmaceutical Sciences of Chinese Academy of Agricultural Sciences, Lanzhou, China
| |
Collapse
|
14
|
Zhang X, Xu P, Duan J, Lin X, Sun J, Shi W, Xu H, Dou W, Zheng Q, Yuan R, Wang J, Zhang Y, Yu S, Chen Z, Zheng M, Gohy JF, Dong Q, Vlad A. A dicarbonate solvent electrolyte for high performance 5 V-Class Lithium-based batteries. Nat Commun 2024; 15:536. [PMID: 38225282 PMCID: PMC10789778 DOI: 10.1038/s41467-024-44858-3] [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] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 02/04/2023] [Accepted: 01/08/2024] [Indexed: 01/17/2024] Open
Abstract
Rechargeable lithium batteries using 5 V positive electrode materials can deliver considerably higher energy density as compared to state-of-the-art lithium-ion batteries. However, their development remains plagued by the lack of electrolytes with concurrent anodic stability and Li metal compatibility. Here we report a new electrolyte based on dimethyl 2,5-dioxahexanedioate solvent for 5 V-class batteries. Benefiting from the particular chemical structure, weak interaction with lithium cation and resultant peculiar solvation structure, the resulting electrolyte not only enables stable, dendrite-free lithium plating-stripping, but also displays anodic stability up to 5.2 V (vs. Li/Li+), in additive or co-solvent-free formulation, and at low salt concentration of 1 M. Consequently, the Li | |LiNi0.5Mn1.5O4 cells using the 1 M LiPF6 in 2,5-dioxahexanedioate based electrolyte retain >97% of the initial capacity after 250 cycles, outperforming the conventional carbonate-based electrolyte formulations, making this, and potentially other dicarbonate solvents promising for future Lithium-based battery practical explorations.
Collapse
Affiliation(s)
- Xiaozhe Zhang
- Institute of Condensed Matter and Nanosciences, Molecular Chemistry, Materials and Catalysis, Université Catholique de Louvain, Louvain-la-Neuve, B-1348, Belgium
| | - Pan Xu
- Collaborative Innovation Center of Chemistry for Energy Materials (iChEM), State Key Laboratory of Physical Chemistry of Solid Surfaces, Department of Chemistry, College of Chemistry and Chemical Engineering, Engineering Research Centre of Electrochemical Technologies of Ministry of Education, Innovation Laboratory for Sciences and Technologies of Energy Materials of Fujian Province (IKKEM), Xiamen University, Xiamen, 361005, China
| | - Jianing Duan
- Collaborative Innovation Center of Chemistry for Energy Materials (iChEM), State Key Laboratory of Physical Chemistry of Solid Surfaces, Department of Chemistry, College of Chemistry and Chemical Engineering, Engineering Research Centre of Electrochemical Technologies of Ministry of Education, Innovation Laboratory for Sciences and Technologies of Energy Materials of Fujian Province (IKKEM), Xiamen University, Xiamen, 361005, China
| | - Xiaodong Lin
- Institute of Condensed Matter and Nanosciences, Molecular Chemistry, Materials and Catalysis, Université Catholique de Louvain, Louvain-la-Neuve, B-1348, Belgium.
| | - Juanjuan Sun
- Collaborative Innovation Center of Chemistry for Energy Materials (iChEM), State Key Laboratory of Physical Chemistry of Solid Surfaces, Department of Chemistry, College of Chemistry and Chemical Engineering, Engineering Research Centre of Electrochemical Technologies of Ministry of Education, Innovation Laboratory for Sciences and Technologies of Energy Materials of Fujian Province (IKKEM), Xiamen University, Xiamen, 361005, China
| | - Wenjie Shi
- Institute for New Energy Materials & Low Carbon Technologies, School of Material Science & Engineering, School of Chemistry & Chemical Engineering, Tianjin University of Technology, Tianjin, 300384, China
| | - Hewei Xu
- Institute of Condensed Matter and Nanosciences, Molecular Chemistry, Materials and Catalysis, Université Catholique de Louvain, Louvain-la-Neuve, B-1348, Belgium
| | - Wenjie Dou
- Collaborative Innovation Center of Chemistry for Energy Materials (iChEM), State Key Laboratory of Physical Chemistry of Solid Surfaces, Department of Chemistry, College of Chemistry and Chemical Engineering, Engineering Research Centre of Electrochemical Technologies of Ministry of Education, Innovation Laboratory for Sciences and Technologies of Energy Materials of Fujian Province (IKKEM), Xiamen University, Xiamen, 361005, China
| | - Qingyi Zheng
- Collaborative Innovation Center of Chemistry for Energy Materials (iChEM), State Key Laboratory of Physical Chemistry of Solid Surfaces, Department of Chemistry, College of Chemistry and Chemical Engineering, Engineering Research Centre of Electrochemical Technologies of Ministry of Education, Innovation Laboratory for Sciences and Technologies of Energy Materials of Fujian Province (IKKEM), Xiamen University, Xiamen, 361005, China
| | - Ruming Yuan
- Collaborative Innovation Center of Chemistry for Energy Materials (iChEM), State Key Laboratory of Physical Chemistry of Solid Surfaces, Department of Chemistry, College of Chemistry and Chemical Engineering, Engineering Research Centre of Electrochemical Technologies of Ministry of Education, Innovation Laboratory for Sciences and Technologies of Energy Materials of Fujian Province (IKKEM), Xiamen University, Xiamen, 361005, China
| | - Jiande Wang
- Institute of Condensed Matter and Nanosciences, Molecular Chemistry, Materials and Catalysis, Université Catholique de Louvain, Louvain-la-Neuve, B-1348, Belgium
| | - Yan Zhang
- Institute of Condensed Matter and Nanosciences, Molecular Chemistry, Materials and Catalysis, Université Catholique de Louvain, Louvain-la-Neuve, B-1348, Belgium
| | - Shanshan Yu
- Collaborative Innovation Center of Chemistry for Energy Materials (iChEM), State Key Laboratory of Physical Chemistry of Solid Surfaces, Department of Chemistry, College of Chemistry and Chemical Engineering, Engineering Research Centre of Electrochemical Technologies of Ministry of Education, Innovation Laboratory for Sciences and Technologies of Energy Materials of Fujian Province (IKKEM), Xiamen University, Xiamen, 361005, China
| | - Zehan Chen
- Institute of Condensed Matter and Nanosciences, Molecular Chemistry, Materials and Catalysis, Université Catholique de Louvain, Louvain-la-Neuve, B-1348, Belgium
| | - Mingsen Zheng
- Collaborative Innovation Center of Chemistry for Energy Materials (iChEM), State Key Laboratory of Physical Chemistry of Solid Surfaces, Department of Chemistry, College of Chemistry and Chemical Engineering, Engineering Research Centre of Electrochemical Technologies of Ministry of Education, Innovation Laboratory for Sciences and Technologies of Energy Materials of Fujian Province (IKKEM), Xiamen University, Xiamen, 361005, China
| | - Jean-François Gohy
- Institute of Condensed Matter and Nanosciences, Molecular Chemistry, Materials and Catalysis, Université Catholique de Louvain, Louvain-la-Neuve, B-1348, Belgium
| | - Quanfeng Dong
- Collaborative Innovation Center of Chemistry for Energy Materials (iChEM), State Key Laboratory of Physical Chemistry of Solid Surfaces, Department of Chemistry, College of Chemistry and Chemical Engineering, Engineering Research Centre of Electrochemical Technologies of Ministry of Education, Innovation Laboratory for Sciences and Technologies of Energy Materials of Fujian Province (IKKEM), Xiamen University, Xiamen, 361005, China.
| | - Alexandru Vlad
- Institute of Condensed Matter and Nanosciences, Molecular Chemistry, Materials and Catalysis, Université Catholique de Louvain, Louvain-la-Neuve, B-1348, Belgium.
| |
Collapse
|
15
|
Wang BY, Li XY, Peng X, Fu LW, Tian T, Lu Y, Xu P, Yu MH, Zou HC. [Sexually active status and its correlates among community-based older adults in Tianjin]. Zhonghua Liu Xing Bing Xue Za Zhi 2023; 44:1874-1879. [PMID: 38129142 DOI: 10.3760/cma.j.cn112338-20230519-00316] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [MESH Headings] [Grants] [Subscribe] [Scholar Register] [Indexed: 12/23/2023]
Abstract
Objective: To understand the sexually active status among community-based older adults aged ≥50 years in Tianjin, China, and to explore the potential correlates. Methods: A cross-sectional survey using multistage sampling among community-based older adults aged ≥50 was conducted between June 2020 and December 2022. The estimated sample size was 735. The survey collected questionnaire information through face-to-face interviews with investigators, including sociodemographic, health, and sexual lifestyle characteristics. The multivariable logistic regression model was used to assess correlates of sexually active status. Results: A total of 776 study participants (510 males and 266 females) were included, whose major age distribution was 50-59 years (45.9%). The overall sexual activity prevalence of the participants was 45.6%. Older age (60-69: aOR=0.67, 95%CI: 0.45-0.99; ≥70: aOR=0.12, 95%CI: 0.07-0.21), being male (aOR=1.93, 95%CI: 1.32-2.82), living in urban area (aOR=0.18, 95%CI: 0.12-0.28), living with spouse/married (aOR=2.80, 95%CI: 1.41-5.58), living alone (aOR=0.51, 95%CI: 0.27-0.96), having difficulty climbing stairs or walking (aOR=0.55, 95%CI: 0.31-0.97), having chronic diseases (one chronic disease: aOR=0.55, 95%CI: 0.36-0.85; two or more chronic diseases: aOR=0.53, 95%CI: 0.33-0.84) were associated with sexually active status among older adults. Conclusions: Many community-based older adults remained sexually active. There was an association between physical health and sexually active status among community-based older adults. Incorporating sexual health services into healthcare services for community-based older adults could be advocated, with a concurrent emphasis on enhancing the awareness and competence of providing sexual health services among community-based healthcare workers.
Collapse
Affiliation(s)
- B Y Wang
- School of Public Health (Shenzhen), Sun Yat-sen University, Shenzhen 518107, China
| | - X Y Li
- School of Public Health (Shenzhen), Sun Yat-sen University, Shenzhen 518107, China
| | - X Peng
- School of Public Health (Shenzhen), Sun Yat-sen University, Shenzhen 518107, China
| | - L W Fu
- School of Public Health (Shenzhen), Sun Yat-sen University, Shenzhen 518107, China
| | - T Tian
- School of Public Health (Shenzhen), Sun Yat-sen University, Shenzhen 518107, China
| | - Y Lu
- School of Public Health, the Key Laboratory of Environmental Pollution Monitoring and Disease Control, Ministry of Education, Guizhou Medical University, Guiyang 550025, China
| | - P Xu
- Tianjin Centers for Disease Control and Prevention, Tianjin 300011, China
| | - M H Yu
- Tianjin Centers for Disease Control and Prevention, Tianjin 300011, China
| | - H C Zou
- School of Public Health, Fudan University, Shanghai 200032, China
| |
Collapse
|
16
|
Xu P, Shao RR, He Y. Bibliometric analysis of recent research on the association between TRPV1 and inflammation. Channels (Austin) 2023; 17:2189038. [PMID: 36919561 PMCID: PMC10026872 DOI: 10.1080/19336950.2023.2189038] [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: 03/16/2023] Open
Abstract
TRPV1 channel is a sensitive ion channel activated by some noxious stimuli and has been reported to change many physiological functions after its activation. In this paper, we present a scientometric approach to explore the trends of the association between TRPV1 channel and inflammation and our goal is to provide creative directions for future research. The related literature was retrieved from Web of Science Core Collection and then analyzed by CiteSpace and VOSviewer. A total of 1533 documents were screened. The most productive country, institution, journal, author, cited journal, cited author, and references were the United States, University of California, San Francisco, Pain, Lu-yuan Lee, Nature, Michael J. Caterina, and Caterina MJ (Science, 2000), respectively. The most influential country and institution were Switzerland and University of California, San Francisco, respectively. The cooperation among countries or institutions was extensive. Amounts of documents were distributed in molecular, biology, genetics. TRPV1-associated neurons, neuropeptides, neuropathic pain, neuroinflammation, and neurogenic inflammation were mainly hotspots in this field. The research has presented valuable data about previous studies in the link of TRPV1 channel and inflammation.
Collapse
Affiliation(s)
- Pan Xu
- Department of Oral Medicine, Stomatological Hospital and Dental School of Tongji University, Shanghai Engineering Research Center of Tooth Restoration and Regeneration, Shanghai, China
| | - Ru-Ru Shao
- Department of Oral Medicine, Stomatological Hospital and Dental School of Tongji University, Shanghai Engineering Research Center of Tooth Restoration and Regeneration, Shanghai, China
| | - Yuan He
- Department of Oral Medicine, Stomatological Hospital and Dental School of Tongji University, Shanghai Engineering Research Center of Tooth Restoration and Regeneration, Shanghai, China
| |
Collapse
|
17
|
Zou Y, Wang Y, Zeng Y, Xu P, Hu Z, Yu H. On-Demand Dynamic Terahertz Polarization Manipulation Based on Pneumatically Actuated Metamaterial. Micromachines (Basel) 2023; 14:2094. [PMID: 38004951 PMCID: PMC10672740 DOI: 10.3390/mi14112094] [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: 10/18/2023] [Revised: 11/06/2023] [Accepted: 11/10/2023] [Indexed: 11/26/2023]
Abstract
In this paper, a new tuning strategy is proposed by incorporating a pneumatically actuated metamaterial to achieve on-demand polarization manipulation at THz frequencies. Through controlling the actuation pressure, the device function can be flexibly switched among three types of polarization conversion capabilities within the same operation frequency band, from 1.3 THz to 1.5 THz, in which the mutual conversion between linear polarization and circular polarization, such as a quarter-wave plate, and handedness inversion between circular polarizations as a helicity inverter as well as a helicity keeper, have been successfully achieved between the incidence and reflection. Moreover, the intrinsic tuning mechanism for the polarization manipulation is also discussed.
Collapse
Affiliation(s)
- Yongchao Zou
- College of Meteorology and Oceanography, National University of Defense Technology, Changsha 410073, China; (Y.Z.)
| | - Yan Wang
- School of Optical and Electronic Information, Huazhong University of Science and Technology, Wuhan 430074, China (Y.Z.)
| | - Yangjian Zeng
- School of Optical and Electronic Information, Huazhong University of Science and Technology, Wuhan 430074, China (Y.Z.)
| | - Pan Xu
- College of Meteorology and Oceanography, National University of Defense Technology, Changsha 410073, China; (Y.Z.)
| | - Zhengliang Hu
- College of Meteorology and Oceanography, National University of Defense Technology, Changsha 410073, China; (Y.Z.)
| | - Hongbin Yu
- School of Optical and Electronic Information, Huazhong University of Science and Technology, Wuhan 430074, China (Y.Z.)
- Optics Valley Laboratory, Wuhan 430074, China
- Wuhan National Laboratory for Optoelectronics, Huazhong University of Science and Technology, Wuhan 430074, China
| |
Collapse
|
18
|
Huang X, Li Y, Yuan S, Wu X, Xu P, Zhou A. Shear wave elastography-based deep learning model for prognosis of patients with acutely decompensated cirrhosis. J Clin Ultrasound 2023; 51:1568-1578. [PMID: 37883118 DOI: 10.1002/jcu.23577] [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] [Subscribe] [Scholar Register] [Received: 08/12/2023] [Revised: 09/16/2023] [Accepted: 09/21/2023] [Indexed: 10/27/2023]
Abstract
PURPOSE This study aimed to develop and validate a deep learning model based on two-dimensional (2D) shear wave elastography (SWE) for predicting prognosis in patients with acutely decompensated cirrhosis. METHODS We prospectively enrolled 288 acutely decompensated cirrhosis patients with a minimum 1-year follow-up, divided into a training cohort (202 patients, 1010 2D SWE images) and a test cohort (86 patients, 430 2D SWE images). Using transfer learning by Resnet-50 to analyze 2D SWE images, a SWE-based deep learning signature (DLswe) was developed for 1-year mortality prediction. A combined nomogram was established by incorporating deep learning SWE information and laboratory data through a multivariate Cox regression analysis. The performance of the nomogram was evaluated with respect to predictive discrimination, calibration, and clinical usefulness in the training and test cohorts. RESULTS The C-index for DLswe was 0.748 (95% CI 0.666-0.829) and 0.744 (95% CI 0.623-0.864) in the training and test cohorts, respectively. The combined nomogram significantly improved the C-index, accuracy, sensitivity, and specificity of DLswe to 0.823 (95% CI 0.763-0.883), 86%, 75%, and 89% in the training cohort, and 0.808 (95% CI 0.707-0.909), 83%, 74%, and 85% in the test cohort (both p < 0.05). Calibration curves demonstrated good calibration of the combined nomogram. Decision curve analysis indicated that the nomogram was clinically valuable. CONCLUSIONS The 2D SWE-based deep learning model holds promise as a noninvasive tool to capture valuable prognostic information, thereby improving outcome prediction in patients with acutely decompensated cirrhosis.
Collapse
Affiliation(s)
- Xingzhi Huang
- Department of Ultrasonography, The First Affiliated Hospital of Nanchang University, Nanchang, China
| | - Yaohui Li
- Department of Ultrasonography, The First Affiliated Hospital of Nanchang University, Nanchang, China
| | - Songsong Yuan
- Department of Infectious Disease, The First Affiliated Hospital of Nanchang University, Nanchang, China
| | - Xiaoping Wu
- Department of Infectious Disease, The First Affiliated Hospital of Nanchang University, Nanchang, China
| | - Pan Xu
- Department of Ultrasonography, The First Affiliated Hospital of Nanchang University, Nanchang, China
| | - Aiyun Zhou
- Department of Ultrasonography, The First Affiliated Hospital of Nanchang University, Nanchang, China
| |
Collapse
|
19
|
Deng Y, Zhang R, Xu P, Ma J, Gu Q. PhyGCN: Pre-trained Hypergraph Convolutional Neural Networks with Self-supervised Learning. bioRxiv 2023:2023.10.01.560404. [PMID: 37873233 PMCID: PMC10592843 DOI: 10.1101/2023.10.01.560404] [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] [Indexed: 10/25/2023]
Abstract
Hypergraphs are powerful tools for modeling complex interactions across various domains, including biomedicine. However, learning meaningful node representations from hypergraphs remains a challenge. Existing supervised methods often lack generalizability, thereby limiting their real-world applications. We propose a new method, Pre-trained Hypergraph Convolutional Neural Networks with Self-supervised Learning (PhyGCN), which leverages hypergraph structure for self-supervision to enhance node representations. PhyGCN introduces a unique training strategy that integrates variable hyperedge sizes with self-supervised learning, enabling improved generalization to unseen data. Applications on multi-way chromatin interactions and polypharmacy side-effects demonstrate the effectiveness of PhyGCN. As a generic framework for high-order interaction datasets with abundant unlabeled data, PhyGCN holds strong potential for enhancing hypergraph node representations across various domains.
Collapse
Affiliation(s)
- Yihe Deng
- Department of Computer Science, University of California, Los Angeles, CA 90095, USA
| | - Ruochi Zhang
- Computational Biology Department, School of Computer Science, Carnegie Mellon University, Pittsburgh, PA 15213, USA
| | - Pan Xu
- Department of Computer Science, University of California, Los Angeles, CA 90095, USA
| | - Jian Ma
- Computational Biology Department, School of Computer Science, Carnegie Mellon University, Pittsburgh, PA 15213, USA
| | - Quanquan Gu
- Department of Computer Science, University of California, Los Angeles, CA 90095, USA
| |
Collapse
|
20
|
Yuan K, Liao X, Yao X, Liu M, Xu P, Yin J, Li C, Orlandini LC. Study on Lattice Radiotherapy Treatments (LRT) for Head and Neck Bulky Tumors. Int J Radiat Oncol Biol Phys 2023; 117:e596-e597. [PMID: 37785800 DOI: 10.1016/j.ijrobp.2023.06.1954] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 10/04/2023]
Abstract
PURPOSE/OBJECTIVE(S) Lattice radiotherapy (LRT) exploits various effects of radiation, such as the bystander effect and the abscopal effect, and consists on the administration of high dose fraction in small areas with large tumor masses, helping to solve the problem of treating bulky disease, especially if it is located in a critical anatomical area. The optimization of LRT treatment plans is challenging due to the difficulty to generate spots of high dose within the tumor with consequent high gradient. This study compares the plan dosimetry and delivery time of two delivery techniques VMAT and CyberKnife for LRT treatments of bulky head and neck lesions. MATERIALS/METHODS Six patients with giant head and neck tumors who received LRT at our institution were included in this study. Target and OARs were contoured following international guidelines; to allow easy identification of the desired high gradient zones, an artificial geometrical lattice structure with spherical vertices was arranged inside the target volume (GTV), and the vertices of the lattice representing the high dose boost volumes (GTVboost) were delineated. The GTVboost and GTV were prescribed to receive 12 Gy and 3 Gy, respectively in a single fraction. Separate VMAT and CyberKnife LRT plans were optimized for each patient with lattice vertex of 0.5 diameter and center-to-center distances of 1.5 cm (LRT1.5) and 3 cm (LRT3). The dose heterogeneity was measured as the peak-to-valley dose ratio (PVDR), with the traditional definition being replaced by the D10/D90 ratio, where D10 and D90 represent the doses covering 10% and 90% of the GTV, respectively. For each plan generated, the treatment delivery time, the monitor units (MU), and the PVDR were assessed. Pre-treatment plan verifications were performed with ArcCheck array and Gafchromics film for VMAT and CyberKnife, respectively, using gamma analysis criteria of 3%-3mm. RESULTS The mean PVDR obtained for VMAT LRT plans were 2.0 and 2.6 for LRT1.5 and LRT3, respectively, and 3.2 and 4.7, respectively for CyberKnife LRT plans. For each pre-treatment plan dose verification, the gamma passing rate (GPR) was higher than 95.0 %; CyberKnife delivery time and MU were more than 10 times higher than that of VMAT, nevertheless, VMAT had a lower PVDR. The detailed results are shown in the table below. CONCLUSION CyberKnife LRT has a strong ability to place the peak dose within the target, generating a higher peak-to-valley dose ratio, however its use is partially invalidated by the long beam delivery times and the resulting high MU number; the use of the VMAT LRT technique allows clinically adequate dosimetry with acceptable delivery times.
Collapse
Affiliation(s)
- K Yuan
- Sichuan Cancer Hospital & Institute, University of Electronic Science and Technology of China, Chengdu, China
| | - X Liao
- Sichuan Cancer Hospital & Institute, University of Electronic Science and Technology of China, Chengdu, China
| | - X Yao
- Sichuan Cancer Hospital & Institute, University of Electronic Science and Technology of China, Chengdu, China
| | - M Liu
- Sichuan Cancer Hospital & Institute, University of Electronic Science and Technology of China, Chengdu, China
| | - P Xu
- Sichuan Cancer Hospital & Institute, University of Electronic Science and Technology of China, Chengdu, China
| | - J Yin
- Sichuan Cancer Hospital & Institute, University of Electronic Science and Technology of China, Chengdu, China
| | - C Li
- Sichuan Cancer Hospital & Institute, University of Electronic Science and Technology of China, Chengdu, China
| | - L C Orlandini
- Sichuan Cancer Hospital & Institute, University of Electronic Science and Technology of China, Chengdu, China
| |
Collapse
|
21
|
Li X, Xu P, Ni H, Lin X, Wang Y, Fan J, Zheng M, Yuan R, Dong Q. Regulating SEI Components of Sodium Anode via Capturing Organic-Molecule Intermediates in Ester-Based Electrolyte. Small Methods 2023; 7:e2300388. [PMID: 37316995 DOI: 10.1002/smtd.202300388] [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: 03/26/2023] [Revised: 05/30/2023] [Indexed: 06/16/2023]
Abstract
Highly reversible sodium metal anodes are still regarded as a stubborn hurdle in ester-based electrolytes due to the issue of uncontrollable dendrites and incredibly unstable interphase. Evidently, a strong protective film on sodium is decisive, while the quality of the protective film is mainly determined by its components. However, it is challenging to actively adjust the expected components. This work can regulate the solid electrolyte interphase (SEI) components by introducing a functional electrolyte additive (2-chloro-1,3-dimethylimidazoline hexafluorophosphate (CDIH, namely CDI+ +PF6 - )) into FEC/PC ester-based electrolyte. Specifically, the chloride element in the CDI+ can easily react to form a NaF/NaCl-rich SEI together with the decomposition products of FEC; then the CDI+ without chlorine as a gripper to capture the organic-molecule intermediates generated during FEC decomposition to greatly reduce the content of unstable organic components in SEI, which can be confirmed by molecular dynamic simulation and experiment. Eventually, a highly reversible Na deposition behavior can be delivered. As expected, under the action of CDIH additives, the Na||Na symmetrical cell performs an excellent long-term cycling (>800 h, 0.5 mA cm-2 -0.5 mAh cm-2 ) and rate performance (0.5-4 mA cm-2 ). Furthermore, the Na||PB full cell exhibits the outstanding electrochemical performance with small polarization.
Collapse
Affiliation(s)
- Xin Li
- State Key Laboratory for Physical Chemistry of Solid Surfaces, Department of Chemistry, College of Chemistry and Chemical Engineering, iChEM (Collaborative Innovation Center of Chemistry for Energy Materials), Xiamen University, Engineering Research Centre of Electrochemical Technologies of Ministry of Education, Xiamen, Fujian, 361005, China
- Innovation Laboratory for Sciences and Technologies of Energy Materials of Fujian Province (IKKEM), State Key Laboratory of Physical Chemistry of Solid Surfaces, College of Materials, Xiamen University, Xiamen, 361005, China
| | - Pan Xu
- State Key Laboratory for Physical Chemistry of Solid Surfaces, Department of Chemistry, College of Chemistry and Chemical Engineering, iChEM (Collaborative Innovation Center of Chemistry for Energy Materials), Xiamen University, Engineering Research Centre of Electrochemical Technologies of Ministry of Education, Xiamen, Fujian, 361005, China
- Innovation Laboratory for Sciences and Technologies of Energy Materials of Fujian Province (IKKEM), State Key Laboratory of Physical Chemistry of Solid Surfaces, College of Materials, Xiamen University, Xiamen, 361005, China
| | - Hongbin Ni
- State Key Laboratory for Physical Chemistry of Solid Surfaces, Department of Chemistry, College of Chemistry and Chemical Engineering, iChEM (Collaborative Innovation Center of Chemistry for Energy Materials), Xiamen University, Engineering Research Centre of Electrochemical Technologies of Ministry of Education, Xiamen, Fujian, 361005, China
- Innovation Laboratory for Sciences and Technologies of Energy Materials of Fujian Province (IKKEM), State Key Laboratory of Physical Chemistry of Solid Surfaces, College of Materials, Xiamen University, Xiamen, 361005, China
| | - Xiaodong Lin
- State Key Laboratory for Physical Chemistry of Solid Surfaces, Department of Chemistry, College of Chemistry and Chemical Engineering, iChEM (Collaborative Innovation Center of Chemistry for Energy Materials), Xiamen University, Engineering Research Centre of Electrochemical Technologies of Ministry of Education, Xiamen, Fujian, 361005, China
- Innovation Laboratory for Sciences and Technologies of Energy Materials of Fujian Province (IKKEM), State Key Laboratory of Physical Chemistry of Solid Surfaces, College of Materials, Xiamen University, Xiamen, 361005, China
| | - Yajing Wang
- State Key Laboratory for Physical Chemistry of Solid Surfaces, Department of Chemistry, College of Chemistry and Chemical Engineering, iChEM (Collaborative Innovation Center of Chemistry for Energy Materials), Xiamen University, Engineering Research Centre of Electrochemical Technologies of Ministry of Education, Xiamen, Fujian, 361005, China
- Innovation Laboratory for Sciences and Technologies of Energy Materials of Fujian Province (IKKEM), State Key Laboratory of Physical Chemistry of Solid Surfaces, College of Materials, Xiamen University, Xiamen, 361005, China
| | - Jingmin Fan
- State Key Laboratory for Physical Chemistry of Solid Surfaces, Department of Chemistry, College of Chemistry and Chemical Engineering, iChEM (Collaborative Innovation Center of Chemistry for Energy Materials), Xiamen University, Engineering Research Centre of Electrochemical Technologies of Ministry of Education, Xiamen, Fujian, 361005, China
- Innovation Laboratory for Sciences and Technologies of Energy Materials of Fujian Province (IKKEM), State Key Laboratory of Physical Chemistry of Solid Surfaces, College of Materials, Xiamen University, Xiamen, 361005, China
| | - Mingsen Zheng
- State Key Laboratory for Physical Chemistry of Solid Surfaces, Department of Chemistry, College of Chemistry and Chemical Engineering, iChEM (Collaborative Innovation Center of Chemistry for Energy Materials), Xiamen University, Engineering Research Centre of Electrochemical Technologies of Ministry of Education, Xiamen, Fujian, 361005, China
- Innovation Laboratory for Sciences and Technologies of Energy Materials of Fujian Province (IKKEM), State Key Laboratory of Physical Chemistry of Solid Surfaces, College of Materials, Xiamen University, Xiamen, 361005, China
| | - Ruming Yuan
- State Key Laboratory for Physical Chemistry of Solid Surfaces, Department of Chemistry, College of Chemistry and Chemical Engineering, iChEM (Collaborative Innovation Center of Chemistry for Energy Materials), Xiamen University, Engineering Research Centre of Electrochemical Technologies of Ministry of Education, Xiamen, Fujian, 361005, China
- Innovation Laboratory for Sciences and Technologies of Energy Materials of Fujian Province (IKKEM), State Key Laboratory of Physical Chemistry of Solid Surfaces, College of Materials, Xiamen University, Xiamen, 361005, China
| | - Quanfeng Dong
- State Key Laboratory for Physical Chemistry of Solid Surfaces, Department of Chemistry, College of Chemistry and Chemical Engineering, iChEM (Collaborative Innovation Center of Chemistry for Energy Materials), Xiamen University, Engineering Research Centre of Electrochemical Technologies of Ministry of Education, Xiamen, Fujian, 361005, China
- Innovation Laboratory for Sciences and Technologies of Energy Materials of Fujian Province (IKKEM), State Key Laboratory of Physical Chemistry of Solid Surfaces, College of Materials, Xiamen University, Xiamen, 361005, China
| |
Collapse
|
22
|
Qiao R, Li X, Madsen O, Groenen MAM, Xu P, Wang K, Han X, Li G, Li X, Li K. Potential selection for lipid kinase activity and spermatogenesis in Henan native pig breeds and growth shaping by introgression of European genes. Genet Sel Evol 2023; 55:64. [PMID: 37723431 PMCID: PMC10506266 DOI: 10.1186/s12711-023-00841-y] [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: 04/19/2022] [Accepted: 09/12/2023] [Indexed: 09/20/2023] Open
Abstract
BACKGROUND China has one third of the worldwide indigenous pig breeds. The Henan province is one of the earliest pig domestication centers of China (about 8000 years ago). However, the precise genetic characteristics of the Henan local pig breeds are still obscure. To understand the origin and the effects of selection on these breeds, we performed various analyses on lineage composition, genetic structure, and detection of selection sweeps and introgression in three of these breeds (Queshan, Nanyang and Huainan) using genotyping data on 125 Queshan, 75 Nanyang, 16 Huainan pigs and 878 individuals from 43 Eurasian pig breeds. RESULTS We found no clear evidence of ancestral domestic pig DNA lineage in the Henan local breeds, which have an extremely complicated genetic background. Not only do they share genes with some northern Chinese pig breeds, such as Erhualian, Hetaodaer, and Laiwu, but they also have a high admixture of genes from foreign pig breeds (33-40%). Two striking selection sweeps in small regions of chromosomes 2 and 14 common to the Queshan and Nanyang breeds were identified. The most significant enrichment was for lipid kinase activity (GO:0043550) with the genes FII, AMBRA1, and PIK3IP1. Another interesting 636.35-kb region on chromosome 14 contained a cluster of spermatogenesis genes (OSBP2, GAL3ST1, PLA2G3, LIMK2, and PATZ1), a bisexual sterility gene MORC2, and a fat deposition gene SELENOM. Reproduction and growth genes LRP4, FII, and ARHGAP1 were present in a 238.05-kb region on SSC2 under selection. We also identified five loci associated with body length (P = 0.004) on chromosomes 1 and 12 that were introgressed from foreign pig breeds into the Henan breeds. In addition, the Chinese indigenous pig breeds fell into four main types instead of the previously reported six, among which the Eastern type could be divided into two subgroups. CONCLUSIONS Admixture of North China, East China and foreign pigs contributed to high genetic diversity of Henan local pigs. Ontology terms associated with lipid kinase activity and spermatogenesis and growth shaping by introgression of European genes in Henan pigs were identified through selective sweep analyses.
Collapse
Affiliation(s)
- Ruimin Qiao
- College of Animal Science, Henan Agricultural University, Zhengzhou, 450046, China.
| | - Xinjian Li
- College of Animal Science, Henan Agricultural University, Zhengzhou, 450046, China
| | - Ole Madsen
- Animal Breeding and Genomics Centre, Department of Animal Sciences, Wageningen University & Research, 6700 HB, Wageningen, The Netherlands
| | - Martien A M Groenen
- Animal Breeding and Genomics Centre, Department of Animal Sciences, Wageningen University & Research, 6700 HB, Wageningen, The Netherlands
| | - Pan Xu
- Jiangsu Agri-Animal Husbandry and Veterinary College, Taizhou, 225300, China
| | - Kejun Wang
- College of Animal Science, Henan Agricultural University, Zhengzhou, 450046, China
| | - Xuelei Han
- College of Animal Science, Henan Agricultural University, Zhengzhou, 450046, China
| | - Gaiying Li
- College of Animal Science, Henan Agricultural University, Zhengzhou, 450046, China
| | - Xiuling Li
- College of Animal Science, Henan Agricultural University, Zhengzhou, 450046, China.
| | - Kui Li
- State Key Laboratory of Animal Nutrition and Key Laboratory of Animal Genetics, Breeding and Reproduction of Ministry of Agriculture and Rural Affairs of China, Institute of Animal Sciences, Chinese Academy of Agricultural Sciences, Beijing, 100081, China
| |
Collapse
|
23
|
Song S, Dossou SSK, Meng M, Sheng C, Li H, Zhou R, Li D, Xu P, You J, Wang L. Five improved sesame reference genomes and genome resequencing unveil the contribution of structural variants to genetic diversity and yield-related traits variation. Plant Biotechnol J 2023; 21:1722-1724. [PMID: 37306179 PMCID: PMC10440982 DOI: 10.1111/pbi.14092] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Subscribe] [Scholar Register] [Received: 04/12/2023] [Revised: 05/17/2023] [Accepted: 05/19/2023] [Indexed: 06/13/2023]
Affiliation(s)
- Shengnan Song
- Key Laboratory of Biology and Genetic Improvement of Oil Crops, Ministry of Agriculture and Rural Affairs, Oil Crops Research InstituteChinese Academy of Agricultural SciencesWuhanHubeiChina
| | - Senouwa Segla Koffi Dossou
- Key Laboratory of Biology and Genetic Improvement of Oil Crops, Ministry of Agriculture and Rural Affairs, Oil Crops Research InstituteChinese Academy of Agricultural SciencesWuhanHubeiChina
| | - Minghui Meng
- Key Laboratory of Horticultural Plant Biology (MOE), College of Horticulture and Forestry SciencesHuazhong Agricultural UniversityWuhanHubeiChina
| | - Chen Sheng
- Key Laboratory of Biology and Genetic Improvement of Oil Crops, Ministry of Agriculture and Rural Affairs, Oil Crops Research InstituteChinese Academy of Agricultural SciencesWuhanHubeiChina
| | - Huan Li
- Key Laboratory of Biology and Genetic Improvement of Oil Crops, Ministry of Agriculture and Rural Affairs, Oil Crops Research InstituteChinese Academy of Agricultural SciencesWuhanHubeiChina
| | - Rong Zhou
- Key Laboratory of Biology and Genetic Improvement of Oil Crops, Ministry of Agriculture and Rural Affairs, Oil Crops Research InstituteChinese Academy of Agricultural SciencesWuhanHubeiChina
| | - Donghua Li
- Key Laboratory of Biology and Genetic Improvement of Oil Crops, Ministry of Agriculture and Rural Affairs, Oil Crops Research InstituteChinese Academy of Agricultural SciencesWuhanHubeiChina
| | - Pan Xu
- State Key Laboratory of Grassland Agro‐ecosystems, Key Laboratory of Grassland Livestock Industry Innovation, Ministry of Agriculture and Rural Affairs, Engineering Research Center of Grassland Industry, Ministry of Education, College of Pastoral Agriculture Science and TechnologyLanzhou UniversityLanzhouGansuChina
| | - Jun You
- Key Laboratory of Biology and Genetic Improvement of Oil Crops, Ministry of Agriculture and Rural Affairs, Oil Crops Research InstituteChinese Academy of Agricultural SciencesWuhanHubeiChina
| | - Linhai Wang
- Key Laboratory of Biology and Genetic Improvement of Oil Crops, Ministry of Agriculture and Rural Affairs, Oil Crops Research InstituteChinese Academy of Agricultural SciencesWuhanHubeiChina
| |
Collapse
|
24
|
Xu P, Zhang P, Zhu X, Wu Y, Harvey PJ, Kaas Q, Zhangsun D, Craik DJ, Luo S. Structure-Activity Relationships of Alanine Scan Mutants αO-Conotoxins GeXIVA[1,2] and GeXIVA[1,4]. J Med Chem 2023. [PMID: 37464764 DOI: 10.1021/acs.jmedchem.3c01023] [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: 07/20/2023]
Abstract
αO-Conotoxin GeXIVA is a selective α9α10 nicotinic acetylcholine receptor (nAChR) inhibitor displaying two disulfide bonds that can form three isomers. The bead (GeXIVA[1,2]) and ribbon (GeXIVA[1,4]) isomers possess the highest activity on rat and human α9α10 nAChRs. However, the molecular mechanism by which they inhibit the α9α10 nAChR is unknown. Here, an alanine scan of GeXIVA was used to elucidate key interactions between the peptides and the α9α10 nAChR. The majority of GeXIVA[1,2] analogues preserved affinity at α9α10 nAChR, but [R17A]GeXIVA[1,2] enhanced selectivity on the α9α10 nAChR. The I23A replacement of GeXIVA[1,4] increased activity at both rat and human α9α10 nAChRs by 10-fold. Surprisingly, these results do not support the molecular model of an interaction in the orthosteric binding site proposed previously, but rather may involve allosteric coupling with the voltage-sensitive domain of the α9α10 nAChR. These results could help to guide further development of GeXIVA analogues as analgesics.
Collapse
Affiliation(s)
- Pan Xu
- School of Medicine, Guangxi University, Nanning 530004, China
- Guangdong Key Laboratory for Biomedical Measurements and Ultrasound Imaging, School of Biomedical Engineering, Shenzhen University Health Science Center, Shenzhen 518060, China
| | - Panpan Zhang
- School of Medicine, Guangxi University, Nanning 530004, China
| | - Xiaopeng Zhu
- School of Medicine, Guangxi University, Nanning 530004, China
| | - Yong Wu
- School of Medicine, Guangxi University, Nanning 530004, China
| | - Peta J Harvey
- Institute for Molecular Bioscience, Australian Research Council Centre of Excellence for Innovations in Peptide and Protein Science, The University of Queensland, Brisbane, Queensland 4072, Australia
| | - Quentin Kaas
- Institute for Molecular Bioscience, Australian Research Council Centre of Excellence for Innovations in Peptide and Protein Science, The University of Queensland, Brisbane, Queensland 4072, Australia
| | - Dongting Zhangsun
- School of Medicine, Guangxi University, Nanning 530004, China
- Key Laboratory of Tropical Biological Resources of Ministry of Education, Hainan University, Haikou 570228, China
| | - David J Craik
- Institute for Molecular Bioscience, Australian Research Council Centre of Excellence for Innovations in Peptide and Protein Science, The University of Queensland, Brisbane, Queensland 4072, Australia
| | - Sulan Luo
- School of Medicine, Guangxi University, Nanning 530004, China
- Key Laboratory of Tropical Biological Resources of Ministry of Education, Hainan University, Haikou 570228, China
| |
Collapse
|
25
|
Song HF, Wu MY, Zhang JP, Feng YJ, Xu P, Zhao J, Xue J, Huang LJ, Li J. [Application value of serum protein indicators in constructing the early prediction model for the prognosis of patients with pulmonary tuberculosis]. Zhonghua Jie He He Hu Xi Za Zhi 2023; 46:664-673. [PMID: 37402656 DOI: 10.3760/cma.j.cn112147-20221021-00836] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Grants] [Subscribe] [Scholar Register] [Indexed: 07/06/2023]
Abstract
Objective: To analyze the clinical significance of laboratory examination indicators as the key prognostic factors and to construct an early prediction model for prognosis assessment of pulmonary tuberculosis patients. Methods: The basic information, biochemical indexes and blood routine items of 163 tuberculosis patients (144 males and 19 females, aged 41-70 years, with an average age of 56 years) and 118 healthy persons who underwent physical examination (101 males and 17 females, aged 46-64 years, with an average age of 54 years) in Suzhou Fifth People's Hospital from January 2012 to December 2020 were retrospectively collected. According to the presence of Mycobacterium tuberculosis after six months of treatment, the enrolled patients were divided into a cured group (96 cases) and a treatment failure group (67 cases). To analyze the baseline levels of laboratory examination indicators between these two groups, we screened the key predictors and the binary logistic regression method in SPSS statistics software was used to construct the prediction model. Results: The baseline levels of total protein, albumin, prealbumin, glutamic-pyruvic transaminase, erythrocyte, hemoglobin and lymphocyte were significantly higher in the cured group than in the treatment failure group. After 6 months of treatment, the indexes of total protein, albumin and prealbumin increased significantly in the cured group, but remained at the low levels in the treatment failure group. Receiver operating characteristic (ROC) curve analysis showed that total protein, albumin and prealbumin as independent predictors for forecasting the prognosis of pulmonary tuberculosis patients had the highest prediction accuracy. Logistic regression analysis showed that the combination of these three key predictors could construct the best early prediction model for assessing the prognosis of pulmonary tuberculosis patients, with a prediction accuracy of 0.924 (0.886-0.961), sensitivity of 75.0%, specificity of 94%, showing an ideal prediction accuracy. Conclusions: The routine test indexes of total protein, albumin and prealbumin show good application value in the construction of early prediction model for prognosis evaluation of pulmonary tuberculosis treatment. The combined prediction model consisting of total protein, albumin and prealbumin is expected to provide a theoretical basis and reference model for precision treatment and prognosis assessment of tuberculosis patients.
Collapse
Affiliation(s)
- H F Song
- Inspection Center of the Fifth People's Hospital of Suzhou, Suzhou Key Laboratory of TB Control, Suzhou 215131, China
| | - M Y Wu
- Department of Tuberculosis, The Fifth People's Hospital of Suzhou, Suzhou Key Laboratory of TB Control, Suzhou 215131, China
| | - J P Zhang
- Department of Tuberculosis, The Fifth People's Hospital of Suzhou, Suzhou Key Laboratory of TB Control, Suzhou 215131, China
| | - Y J Feng
- Department of Tuberculosis, The Fifth People's Hospital of Suzhou, Suzhou Key Laboratory of TB Control, Suzhou 215131, China
| | - P Xu
- Inspection Center of the Fifth People's Hospital of Suzhou, Suzhou Key Laboratory of TB Control, Suzhou 215131, China
| | - J Zhao
- Inspection Center of the Fifth People's Hospital of Suzhou, Suzhou Key Laboratory of TB Control, Suzhou 215131, China
| | - J Xue
- Inspection Center of the Fifth People's Hospital of Suzhou, Suzhou Key Laboratory of TB Control, Suzhou 215131, China
| | - L J Huang
- Department of Information, the Fifth People's Hospital of Suzhou, Suzhou 215131, China
| | - J Li
- Inspection Center of the Fifth People's Hospital of Suzhou, Suzhou Key Laboratory of TB Control, Suzhou 215131, China
| |
Collapse
|
26
|
Zhang H, Zhu Q, Ji Y, Wang M, Zhang Q, Liu W, Li R, Zhang J, Xu P, Song X, Lv C. hucMSCs treatment prevents pulmonary fibrosis by reducing circANKRD42-YAP1-mediated mechanical stiffness. Aging (Albany NY) 2023; 15:5514-5534. [PMID: 37335082 PMCID: PMC10333056 DOI: 10.18632/aging.204805] [Citation(s) in RCA: 3] [Impact Index Per Article: 3.0] [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: 12/29/2022] [Accepted: 05/23/2023] [Indexed: 06/21/2023]
Abstract
Idiopathic pulmonary fibrosis (IPF) is a fibrosing interstitial pneumonia of unknown cause. The most typical characteristic of IPF is gradual weakening of pulmonary elasticity and increase in hardness/rigidity with aging. This study aims to identify a novel treatment approach for IPF and explore mechanism of mechanical stiffness underlying human umbilical cord mesenchymal stem cells (hucMSCs) therapy. Target ability of hucMSCs was examined by labeling with cell membrane dye Dil. Anti-pulmonary fibrosis effect of hucMSCs therapy by reducing mechanical stiffness was evaluated by lung function analysis and MicroCT imaging system and atomic force microscope in vivo and in vitro. Results showed that stiff environment of fibrogenesis caused cells to establish a mechanical connection between cytoplasm and nucleus, initiating expression of related mechanical genes such as Myo1c and F-actin. HucMSCs treatment blocked force transmission and reduced mechanical force. For further exploration of mechanism, ATGGAG was mutated to CTTGCG (the binding site of miR-136-5p) in the full-length sequence of circANKRD42. Wildtype and mutant plasmids of circANKRD42 were packaged into adenovirus vectors and sprayed into lungs of mice. Mechanistic dissection revealed that hucMSCs treatment repressed circANKRD42 reverse splicing biogenesis by inhibiting hnRNP L, which in turn promoted miR-136-5p binds to 3'-Untranslated Region (3'-UTR) of YAP1 mRNA directly, thus inhibiting translation of YAP1 and reducing YAP1 protein entering nucleus. The condition repressed expression of related mechanical genes to block force transmission and reduce mechanical forces. The mechanosensing mechanism mediated directly by circANKRD42-YAP1 axis in hucMSCs treatment, which has potential general applicability in IPF treatment.
Collapse
Affiliation(s)
- Haitong Zhang
- Department of Respiratory and Critical Care Medicine, Binzhou Medical University Hospital, Binzhou Medical University, Binzhou 256603, China
| | - Qi Zhu
- Department of Cellular and Genetic Medicine, School of Pharmaceutical Sciences, Binzhou Medical University, Yantai 264003, China
| | - Yunxia Ji
- Department of Respiratory and Critical Care Medicine, Binzhou Medical University Hospital, Binzhou Medical University, Binzhou 256603, China
| | - Meirong Wang
- Department of Cellular and Genetic Medicine, School of Pharmaceutical Sciences, Binzhou Medical University, Yantai 264003, China
| | - Qian Zhang
- Department of Pathology, Binzhou Medical University Hospital, Binzhou Medical University, Binzhou 256603, China
| | - Weili Liu
- Department of Respiratory and Critical Care Medicine, Binzhou Medical University Hospital, Binzhou Medical University, Binzhou 256603, China
| | - Ruiqiong Li
- Department of Clinical Nursing, Binzhou Medical University Hospital, Binzhou Medical University, Binzhou 256603, China
| | - Jinjin Zhang
- Department of Cellular and Genetic Medicine, School of Pharmaceutical Sciences, Binzhou Medical University, Yantai 264003, China
| | - Pan Xu
- Department of Respiratory and Critical Care Medicine, Binzhou Medical University Hospital, Binzhou Medical University, Binzhou 256603, China
| | - Xiaodong Song
- Department of Cellular and Genetic Medicine, School of Pharmaceutical Sciences, Binzhou Medical University, Yantai 264003, China
| | - Changjun Lv
- Department of Respiratory and Critical Care Medicine, Binzhou Medical University Hospital, Binzhou Medical University, Binzhou 256603, China
| |
Collapse
|
27
|
Zheng H, Sun Y, Zeng Y, Zheng T, Jia F, Xu P, Xu Y, Cao Y, He K, Yang Y. Effects of Four Extraction Methods on Structure and In Vitro Fermentation Characteristics of Soluble Dietary Fiber from Rape Bee Pollen. Molecules 2023; 28:4800. [PMID: 37375355 DOI: 10.3390/molecules28124800] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 05/30/2023] [Revised: 06/12/2023] [Accepted: 06/14/2023] [Indexed: 06/29/2023] Open
Abstract
In this study, soluble dietary fibers (SDFs) were extracted from rape bee pollen using four methods including acid extraction (AC), alkali extraction (AL), cellulase extraction (CL) and complex enzyme extraction (CE). The effects of different extraction methods on the structure of SDFs and in vitro fermentation characteristics were further investigated. The results showed that the four extraction methods significantly affected the monosaccharide composition molar ratio, molecular weight, surface microstructure and phenolic compounds content, but showed little effect on the typical functional groups and crystal structure. In addition, all SDFs decreased the Firmicutes/Bacteroidota ratio, promoted the growth of beneficial bacteria such as Bacteroides, Parabacteroides and Phascolarctobacterium, inhibited the growth of pathogenic bacteria such as Escherichia-Shigella, and increased the total short-chain fatty acids (SCFAs) concentrations by 1.63-2.45 times, suggesting that the bee pollen SDFs had a positive regulation on gut microbiota. Notably, the SDF obtained by CE exhibited the largest molecular weight, a relatively loose structure, higher extraction yield and phenolic compounds content and the highest SCFA concentration. Overall, our results indicated that CE was an appropriate extraction method of high-quality bee pollen SDF.
Collapse
Affiliation(s)
- Hui Zheng
- College of Pharmacy, Hunan University of Chinese Medicine, Changsha 410000, China
| | - Yan Sun
- College of Pharmacy, Hunan University of Chinese Medicine, Changsha 410000, China
| | - Yiqiong Zeng
- College of Pharmacy, Hunan University of Chinese Medicine, Changsha 410000, China
| | - Tao Zheng
- College of Pharmacy, Hunan University of Chinese Medicine, Changsha 410000, China
| | - Fan Jia
- College of Pharmacy, Hunan University of Chinese Medicine, Changsha 410000, China
| | - Pan Xu
- College of Pharmacy, Hunan University of Chinese Medicine, Changsha 410000, China
| | - Yao Xu
- College of Pharmacy, Hunan University of Chinese Medicine, Changsha 410000, China
| | - Yuxin Cao
- College of Pharmacy, Hunan University of Chinese Medicine, Changsha 410000, China
| | - Kai He
- School of Pharmaceutical Science, Hunan University of Medicine, Huaihua 418000, China
| | - Yong Yang
- College of Pharmacy, Hunan University of Chinese Medicine, Changsha 410000, China
| |
Collapse
|
28
|
Zhang Y, Xu P, Song Y, Ma N, Lu J. Association between sugar-sweetened beverage consumption frequency and muscle strength: results from a sample of Chinese adolescents. BMC Public Health 2023; 23:1010. [PMID: 37254093 DOI: 10.1186/s12889-023-15987-z] [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] [Journal Information] [Subscribe] [Scholar Register] [Received: 01/31/2023] [Accepted: 05/25/2023] [Indexed: 06/01/2023] Open
Abstract
BACKGROUND Although sugar-sweetened beverage consumption has become an important and widespread concern, there are few studies on the association between sugar-sweetened beverage consumption frequency and muscle strength in Chinese adolescents. The objective of this study was to analyze the association between sugar-sweetened beverage consumption frequency and muscle strength in Chinese adolescents. METHODS A stratified whole-group sampling method was used to survey 25,893 adolescents aged 13-15 years old in China for sugar-sweetened beverage consumption frequency and muscle strength for grip strength and standing long jump. The subjects' basic information, body mass index (BMI), and covariates were investigated. The association between sugar-sweetened beverage consumption frequency and muscle strength was analyzed by multivariate logisitc regression analysis. RESULTS The proportions of Chinese adolescents who consumed sugar-sweetened beverage ≥ 3 times/week, 1-2 times/week, and < 1 time/week were 12.23%, 52.79%, and 34.98%, respectively. The differences in sugar-sweetened beverage consumption frequency were statistically significant when compared across gender, parental education, duration of physical activity, snacks, and mode of commuting to school (χ2 values = 228.570, 51.422, 275.552, 3165.656, 10.988, P < 0.01). Logistic regression analysis showed that overall Chinese adolescents with sugary drinks 1-2 times/week (OR = 1.207, 95% CI:1.132-1.287) and sugary drinks ≥ 3 times/week (OR = 1.771, 95% CI:1.611-1.947) were associated with lower muscle strength compared to sugary drinks < 1 time/week showed a positive association (P < 0.01). The same trend was found for boys and girls. CONCLUSION Chinese adolescents' sugar-sweetened beverage consumption is common, and high-frequency sugar-sweetened beverage consumption is associated with lower muscle strength. In the future, we should control the use of sugar-sweetened beverages and increase muscular strength training in Chinese adolescents to promote healthy growth.
Collapse
Affiliation(s)
- Yunjie Zhang
- College of Education and Sports Sciences, Yangtze University, Hubei Jingzhou, 434020, P. R. China
| | - Pan Xu
- School of Preschool Education, Shangrao Preschool Education College, Jiangxi Shangrao, 334000, P. R. China
| | - Yongjing Song
- College of Education and Sports Sciences, Yangtze University, Hubei Jingzhou, 434020, P. R. China
| | - Nan Ma
- College of physical education and health, Shanghai Lixin University of Accounting and Finance, 201209, Shanghai, P. R. China.
| | - Jinkui Lu
- School of Physical Education, Shangrao Normal University, Jiangxi Shangrao, 334000, P. R. China
| |
Collapse
|
29
|
Shea K, Borchering RK, Probert WJM, Howerton E, Bogich TL, Li SL, van Panhuis WG, Viboud C, Aguás R, Belov AA, Bhargava SH, Cavany SM, Chang JC, Chen C, Chen J, Chen S, Chen Y, Childs LM, Chow CC, Crooker I, Del Valle SY, España G, Fairchild G, Gerkin RC, Germann TC, Gu Q, Guan X, Guo L, Hart GR, Hladish TJ, Hupert N, Janies D, Kerr CC, Klein DJ, Klein EY, Lin G, Manore C, Meyers LA, Mittler JE, Mu K, Núñez RC, Oidtman RJ, Pasco R, Pastore Y Piontti A, Paul R, Pearson CAB, Perdomo DR, Perkins TA, Pierce K, Pillai AN, Rael RC, Rosenfeld K, Ross CW, Spencer JA, Stoltzfus AB, Toh KB, Vattikuti S, Vespignani A, Wang L, White LJ, Xu P, Yang Y, Yogurtcu ON, Zhang W, Zhao Y, Zou D, Ferrari MJ, Pannell D, Tildesley MJ, Seifarth J, Johnson E, Biggerstaff M, Johansson MA, Slayton RB, Levander JD, Stazer J, Kerr J, Runge MC. Multiple models for outbreak decision support in the face of uncertainty. Proc Natl Acad Sci U S A 2023; 120:e2207537120. [PMID: 37098064 PMCID: PMC10160947 DOI: 10.1073/pnas.2207537120] [Citation(s) in RCA: 6] [Impact Index Per Article: 6.0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 04/26/2023] Open
Abstract
Policymakers must make management decisions despite incomplete knowledge and conflicting model projections. Little guidance exists for the rapid, representative, and unbiased collection of policy-relevant scientific input from independent modeling teams. Integrating approaches from decision analysis, expert judgment, and model aggregation, we convened multiple modeling teams to evaluate COVID-19 reopening strategies for a mid-sized United States county early in the pandemic. Projections from seventeen distinct models were inconsistent in magnitude but highly consistent in ranking interventions. The 6-mo-ahead aggregate projections were well in line with observed outbreaks in mid-sized US counties. The aggregate results showed that up to half the population could be infected with full workplace reopening, while workplace restrictions reduced median cumulative infections by 82%. Rankings of interventions were consistent across public health objectives, but there was a strong trade-off between public health outcomes and duration of workplace closures, and no win-win intermediate reopening strategies were identified. Between-model variation was high; the aggregate results thus provide valuable risk quantification for decision making. This approach can be applied to the evaluation of management interventions in any setting where models are used to inform decision making. This case study demonstrated the utility of our approach and was one of several multimodel efforts that laid the groundwork for the COVID-19 Scenario Modeling Hub, which has provided multiple rounds of real-time scenario projections for situational awareness and decision making to the Centers for Disease Control and Prevention since December 2020.
Collapse
Affiliation(s)
- Katriona Shea
- Department of Biology, The Pennsylvania State University, University Park, PA 16802
- Center for Infectious Disease Dynamics, The Pennsylvania State University, University Park, PA 16802
| | - Rebecca K Borchering
- Department of Biology, The Pennsylvania State University, University Park, PA 16802
- Center for Infectious Disease Dynamics, The Pennsylvania State University, University Park, PA 16802
| | - William J M Probert
- Nuffield Department of Medicine, Big Data Institute, Li Ka Shing Centre for Health Information and Discovery, University of Oxford, Oxford OX3 7LF, United Kingdom
| | - Emily Howerton
- Department of Biology, The Pennsylvania State University, University Park, PA 16802
- Center for Infectious Disease Dynamics, The Pennsylvania State University, University Park, PA 16802
| | - Tiffany L Bogich
- Department of Biology, The Pennsylvania State University, University Park, PA 16802
- Center for Infectious Disease Dynamics, The Pennsylvania State University, University Park, PA 16802
| | - Shou-Li Li
- State Key Laboratory of Grassland Agro-ecosystems, Center for Grassland Microbiome, and College of Pastoral, Agriculture Science and Technology, Lanzhou University, Lanzhou, 73000, People's Republic of China
| | - Willem G van Panhuis
- Department of Epidemiology, Graduate School of Public Health, University of Pittsburgh, Pittsburgh, PA 15260
| | - Cecile Viboud
- Fogarty International Center, National Institutes of Health, Bethesda, MD 20892
| | - Ricardo Aguás
- Nuffield Department of Medicine, Big Data Institute, Li Ka Shing Centre for Health Information and Discovery, University of Oxford, Oxford OX3 7LF, United Kingdom
| | - Artur A Belov
- Office of Biostatistics and Pharmacovigilance, Center for Biologics Evaluation and Research, Food and Drug Administration, Silver Spring, MD 20993
| | | | - Sean M Cavany
- Department of Biological Sciences, University of Notre Dame, Notre Dame, IN 46556
| | - Joshua C Chang
- Epidemiology and Biostatistics Section, Rehabilitation Medicine, Clinical Center, National Institutes of Health, Bethesda, MD 20892
- Mederrata Research Inc, Columbus, OH 43212
| | - Cynthia Chen
- Department of Civil and Environmental Engineering, University of Washington, Seattle, WA 98195
| | - Jinghui Chen
- Department of Computer Science, University of California, Los Angeles, Los Angeles, CA 90095
| | - Shi Chen
- Department of Public Health Sciences, University of North Carolina at Charlotte, Charlotte, NC 28223
- School of Data Science, University of North Carolina at Charlotte, Charlotte, NC 28223
| | - YangQuan Chen
- Mechatronics, Embedded Systems and Automation Laboratory, School of Engineering, University of California, Merced, CA 95343
| | - Lauren M Childs
- Department of Mathematics, Virginia Tech, Blacksburg, VA 24061
| | - Carson C Chow
- Mathematical Biology Section, Laboratory of Biological Modeling, National Institute of Diabetes and Digestive and Kidney Diseases, National Institutes of Health, Bethesda, MD 20892
| | | | | | - Guido España
- Department of Biological Sciences, University of Notre Dame, Notre Dame, IN 46556
| | | | - Richard C Gerkin
- School of Life Sciences, Arizona State University, Tempe, AZ 85287
| | | | - Quanquan Gu
- Department of Computer Science, University of California, Los Angeles, Los Angeles, CA 90095
| | - Xiangyang Guan
- Department of Civil and Environmental Engineering, University of Washington, Seattle, WA 98195
| | - Lihong Guo
- School of Mathematics, Jilin University, Changchun, Jilin 130012, People's Republic of China
| | - Gregory R Hart
- Institute for Disease Modeling, Global Health Division, Bill & Melinda Gates Foundation, Seattle, WA 98109
| | - Thomas J Hladish
- Department of Biology, University of Florida, Gainesville, FL 32611
- Emerging Pathogens Institute, University of Florida, Gainesville, FL 32610
| | - Nathaniel Hupert
- Department of Population Health Sciences, Division of Epidemiology, Weill Cornell Medicine, Cornell University, New York, NY 10065
| | - Daniel Janies
- Computational Intelligence to Predict Health and Environmental Risks, University of North Carolina at Charlotte, Charlotte, NC 28223
| | - Cliff C Kerr
- Institute for Disease Modeling, Global Health Division, Bill & Melinda Gates Foundation, Seattle, WA 98109
| | - Daniel J Klein
- Institute for Disease Modeling, Global Health Division, Bill & Melinda Gates Foundation, Seattle, WA 98109
| | - Eili Y Klein
- Department of Emergency Medicine, Johns Hopkins University, Baltimore, MD 21209
- One Health Trust, Washington, DC 20015
| | - Gary Lin
- Department of Emergency Medicine, Johns Hopkins University, Baltimore, MD 21209
- One Health Trust, Washington, DC 20015
| | - Carrie Manore
- Los Alamos National Laboratory, Los Alamos, NM 87545
| | - Lauren Ancel Meyers
- Department of Integrative Biology, The University of Texas at Austin, Austin, TX 78712
| | - John E Mittler
- Department of Microbiology, School of Medicine, University of Washington, Seattle, WA 98195
| | - Kunpeng Mu
- Laboratory for the Modeling of Biological and Socio-technical Systems, Network Science Institute, Northeastern University, Boston, MA 02115
| | - Rafael C Núñez
- Institute for Disease Modeling, Global Health Division, Bill & Melinda Gates Foundation, Seattle, WA 98109
| | - Rachel J Oidtman
- Department of Biological Sciences, University of Notre Dame, Notre Dame, IN 46556
| | - Remy Pasco
- Operations Research and Industrial Engineering, The University of Texas at Austin, Austin, TX 78712
| | - Ana Pastore Y Piontti
- Laboratory for the Modeling of Biological and Socio-technical Systems, Network Science Institute, Northeastern University, Boston, MA 02115
| | - Rajib Paul
- Department of Public Health Sciences, University of North Carolina at Charlotte, Charlotte, NC 28223
| | - Carl A B Pearson
- Department of Infectious Disease Epidemiology, Faculty of Epidemiology and Population Health, London School of Hygiene & Tropical Medicine, London WC1E 7HT, United Kingdom
- Centre for Mathematical Modelling of Infectious Diseases, London School of Hygiene & Tropical Medicine, London WC1E 7HT, United Kingdom
- South African Department of Science and Innovation - National Research Foundation Centre of Excellence in Epidemiological Modelling and Analysis, Stellenbosch University, Stellenbosch, 7600 South Africa
| | | | - T Alex Perkins
- Department of Biological Sciences, University of Notre Dame, Notre Dame, IN 46556
| | - Kelly Pierce
- Texas Advanced Computing Center, The University of Texas at Austin, Austin, TX 78712
| | | | | | - Katherine Rosenfeld
- Institute for Disease Modeling, Global Health Division, Bill & Melinda Gates Foundation, Seattle, WA 98109
| | | | | | - Arlin B Stoltzfus
- National Institute of Standards and Technology, Gaithersburg, MD 20899
| | - Kok Ben Toh
- School of Natural Resources and Environment, University of Florida, Gainesville, FL 32611
| | - Shashaank Vattikuti
- Mathematical Biology Section, Laboratory of Biological Modeling, National Institute of Diabetes and Digestive and Kidney Diseases, National Institutes of Health, Bethesda, MD 20892
| | - Alessandro Vespignani
- Laboratory for the Modeling of Biological and Socio-technical Systems, Network Science Institute, Northeastern University, Boston, MA 02115
| | - Lingxiao Wang
- Department of Computer Science, University of California, Los Angeles, Los Angeles, CA 90095
| | - Lisa J White
- Nuffield Department of Medicine, Big Data Institute, Li Ka Shing Centre for Health Information and Discovery, University of Oxford, Oxford OX3 7LF, United Kingdom
| | - Pan Xu
- Department of Computer Science, University of California, Los Angeles, Los Angeles, CA 90095
| | | | - Osman N Yogurtcu
- Office of Biostatistics and Pharmacovigilance, Center for Biologics Evaluation and Research, Food and Drug Administration, Silver Spring, MD 20993
| | - Weitong Zhang
- Department of Computer Science, University of California, Los Angeles, Los Angeles, CA 90095
| | - Yanting Zhao
- The 28th Research Institute of China Technology Group Corporation, Nanjing, Jiangsu 210023, People's Republic of China
| | - Difan Zou
- Department of Computer Science, University of California, Los Angeles, Los Angeles, CA 90095
| | - Matthew J Ferrari
- Department of Biology, The Pennsylvania State University, University Park, PA 16802
- Center for Infectious Disease Dynamics, The Pennsylvania State University, University Park, PA 16802
| | - David Pannell
- School of Agriculture and Environment, University of Western Australia, Perth, WA 6009, Australia
| | - Michael J Tildesley
- Zeeman Institute for Systems Biology and Infectious Disease Epidemiology Research, School of Life Sciences and Mathematics Institute, University of Warwick, Coventry, CV4 7AL, United Kingdom
| | - Jack Seifarth
- Department of Biology, The Pennsylvania State University, University Park, PA 16802
- Center for Infectious Disease Dynamics, The Pennsylvania State University, University Park, PA 16802
| | - Elyse Johnson
- Department of Biology, The Pennsylvania State University, University Park, PA 16802
- Center for Infectious Disease Dynamics, The Pennsylvania State University, University Park, PA 16802
| | - Matthew Biggerstaff
- Centers for Disease Control and Prevention COVID-19 Response, Atlanta, GA 30329
| | - Michael A Johansson
- Centers for Disease Control and Prevention COVID-19 Response, Atlanta, GA 30329
| | - Rachel B Slayton
- Centers for Disease Control and Prevention COVID-19 Response, Atlanta, GA 30329
| | - John D Levander
- Department of Biomedical Informatics, School of Medicine, University of Pittsburgh, PA 15260
| | - Jeff Stazer
- Department of Biomedical Informatics, School of Medicine, University of Pittsburgh, PA 15260
| | - Jessica Kerr
- Department of Biomedical Informatics, School of Medicine, University of Pittsburgh, PA 15260
| | - Michael C Runge
- U.S. Geological Survey, Eastern Ecological Science Center, Laurel, MD 20708
| |
Collapse
|
30
|
Xu P, Shang Z, Li G, Sun Y, He K, Li X. A novel silica-reinforced P(AM/AMPS/SA/TM-SiO2) microspheres for selective adsorption of methylene blue from aqueous solution. Sep Purif Technol 2023. [DOI: 10.1016/j.seppur.2023.123495] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 03/04/2023]
|
31
|
Guo S, Huang X, Xu C, Yu M, Li Y, Wu Z, Zhou A, Xu P. Multiregional radiomic model for breast cancer diagnosis: value of ultrasound-based peritumoral and parenchymal radiomics. Quant Imaging Med Surg 2023; 13:3127-3139. [PMID: 37179905 PMCID: PMC10167447 DOI: 10.21037/qims-22-939] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 09/08/2022] [Accepted: 03/10/2023] [Indexed: 05/15/2023]
Abstract
Background Breast cancer consists not only of neoplastic cells but also of significant changes in the surrounding and parenchymal stroma, which can be reflected in radiomics. This study aimed to perform breast lesion classification through an ultrasound-based multiregional (intratumoral, peritumoral, and parenchymal) radiomic model. Methods We retrospectively reviewed ultrasound images of breast lesions from institution #1 (n=485) and institution #2 (n=106). Radiomic features were extracted from different regions (intratumoral, peritumoral, and ipsilateral breast parenchymal) and selected to train the random forest classifier with the training cohort (n=339, a subset of the institution #1 dataset). Then, the intratumoral, peritumoral, and parenchymal, intratumoral & peritumoral (In&Peri), intratumoral & parenchymal (In&P), and intratumoral & peritumoral & parenchymal (In&Peri&P) models were developed and validated on the internal (n=146, another subset of institution 1) and external (n=106, institution #2 dataset) test cohorts. Discrimination was evaluated using the area under the curve (AUC). Calibration curve and Hosmer-Lemeshow test assessed calibration. Integrated discrimination improvement (IDI) was used to assess performance improvement. Results The performance of the In&Peri (AUC values 0.892 and 0.866), In&P (0.866 and 0.863), and In&Peri&P (0.929 and 0.911) models was significantly better than that of the intratumoral model (0.849 and 0.838) in the internal and external test cohorts (IDI test, all P<0.05). The intratumoral, In&Peri and In&Peri&P models showed good calibration (Hosmer-Lemeshow test, all P>0.05). The multiregional (In&Peri&P) model had the highest discrimination among the 6 radiomic models in the test cohorts, respectively. Conclusions The multiregional model combining radiomic information of intratumoral, peritumoral, and ipsilateral parenchymal regions yielded better performance than the intratumoral model in distinguishing malignant breast lesions from benign lesions.
Collapse
Affiliation(s)
- Suping Guo
- Department of Ultrasonography, First Affiliated Hospital of Nanchang University, Nanchang, China
| | - Xingzhi Huang
- Department of Ultrasonography, First Affiliated Hospital of Nanchang University, Nanchang, China
| | - Chao Xu
- Department of Ultrasonography, Jiangxi Tumor Hospital, Nanchang, China
| | - Meiqin Yu
- Department of Ultrasonography, First Affiliated Hospital of Nanchang University, Nanchang, China
| | - Yaohui Li
- Department of Ultrasonography, First Affiliated Hospital of Nanchang University, Nanchang, China
| | - Zhenghua Wu
- Department of Ultrasonography, First Affiliated Hospital of Nanchang University, Nanchang, China
| | - Aiyun Zhou
- Department of Ultrasonography, First Affiliated Hospital of Nanchang University, Nanchang, China
| | - Pan Xu
- Department of Ultrasonography, First Affiliated Hospital of Nanchang University, Nanchang, China
| |
Collapse
|
32
|
Peng HM, Zhou ZK, Zhao JN, Wang F, Liao WM, Zhang WM, Jiang Q, Yan SG, Cao L, Chen LB, Xiao J, Xu WH, He R, Xia YY, Xu YQ, Xu P, Zuo JL, Hu YH, Wang WC, Huang W, Wang JC, Tao SQ, Qian QR, Wang YZ, Zhang ZQ, Tian XB, Wang WW, Jin QH, Zhu QS, Yuan H, Shang XF, Shi ZJ, Zheng J, Xu JZ, Liu JG, Xu WD, Weng XS, Qiu GX. [Revision rate of periprosthetic joint infection post total hip or knee arthroplasty of 34 hospitals in China between 2015 and 2017: a multi-center survey]. Zhonghua Yi Xue Za Zhi 2023; 103:999-1005. [PMID: 36990716 DOI: 10.3760/cma.j.cn112137-20221108-02351] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Subscribe] [Scholar Register] [Indexed: 03/31/2023]
Abstract
Objective: To investigate the rate of periprosthetic joint infection (PJI) revision surgeries and clinical information of hip-/knee- PJI cases nationwide from 2015 to 2017 in China. Methods: An epidemiological investigation. A self-designed questionnaire and convenience sampling were used to survey 41 regional joint replacement centers nationwide from November 2018 to December 2019 in China. The PJI was diagnosed according to the Musculoskeletal Infection Association criteria. Data of PJI patients were obtained by searching the inpatient database of each hospital. Questionnaire entries were extracted from the clinical records by specialist. Then the differences in rate of PJI revision surgery between hip- and knee- PJI revision cases were calculated and compared. Results: Total of 36 hospitals (87.8%) nationwide reported data on 99 791 hip and knee arthroplasties performed from 2015 to 2017, with 946 revisions due to PJI (0.96%). The overall hip-PJI revision rate was 0.99% (481/48 574), and it was 0.97% (135/13 963), 0.97% (153/15 730) and 1.07% (193/17 881) in of 2015, 2016, 2017, respectively. The overall knee-PJI revision rate was 0.91% (465/51 271), and it was 0.90% (131/14 650), 0.88% (155/17 693) and 0.94% (179/18 982) in 2015, 2016, 2017, respectively. Heilongjiang (2.2%, 40/1 805), Fujian (2.2%, 45/2 017), Jiangsu (2.1%, 85/3 899), Gansu (2.1%, 29/1 377), Chongqing (1.8%, 64/3 523) reported relatively high revision rates. Conclusions: The overall PJI revision rate in 34 hospitals nationwide from 2015 to 2017 is 0.96%. The hip-PJI revision rate is slightly higher than that in the knee-PJI. There are differences in revision rates among hospitals in different regions.
Collapse
Affiliation(s)
- H M Peng
- Department of Orthopedic Surgery, State Key Laboratory of Complex Severe and Rare Diseases, Peking Union Medical College Hospital, Chinese Academy of Medical Science and Peking Union Medical College, Beijing 100730, China
| | - Z K Zhou
- Department of Orthopaedics, West China Hospital of Sichuan University, Chengdu 610041, China
| | - J N Zhao
- Department of Orthopaedics, General Hospital of Eastern War Zone, People's Liberation Army, Nanjing 210002, China
| | - F Wang
- Department of Orthopedic Surgery, Third Hospital of Hebei Medical University, Shijiazhuang 050051, China
| | - W M Liao
- Department of Orthopedic Surgery, First Affiliated Hospital of Sun Yat-sen University, Guangzhou 510008, China
| | - W M Zhang
- Department of Joint Surgery, First Affiliated Hospital of Fujian Medical University, Fuzhou 350009, China
| | - Q Jiang
- Department of Orthopedic Surgery, Drum Tower Hospital of Nanjing University, Nanjing 210008, China
| | - S G Yan
- Department of Orthopaedic Surgery, Second Affiliated Hospital of Zhejiang University School of Medicine, Hangzhou 310058, China
| | - L Cao
- Department of Orthopaedic Surgery, First Affiliated Hospital of Xinjiang Medical University, Urumqi 830054, China
| | - L B Chen
- Department of Orthopaedic Surgery, Central South Hospital of Wuhan University, Wuhan 430071, China
| | - J Xiao
- Department of Orthopaedic Surgery, Wuhan Tongji Hospital, Tongji Medical College of Huazhong University of Science and Technology, Wuhan 430030, China
| | - W H Xu
- Department of Orthopedic Surgery, Wuhan Union Hospital, Tongji Medical College, Huazhong University of Science and Technology, Wuhan 430032, China
| | - R He
- Department of Orthopedic Surgery, the Southwest Hospital of Army Medical University, Chongqing 400038, China
| | - Y Y Xia
- Department of Orthopedic Surgery, Second Hospital of Lanzhou University, Lanzhou 730030, China
| | - Y Q Xu
- Department of Orthopedic Surgery, 920th Hospital of the People's Liberation Army, Kunming 650032, China
| | - P Xu
- Department of Orthopedic Surgery, Xi'an Red Cross Hospital, Xi'an Jiaotong University, Xi'an 710054, China
| | - J L Zuo
- Department of Orthopedic Surgery, China-Japan Friendship Hospital, Jilin University, Changchun 130031, China
| | - Y H Hu
- Department of Orthopedic Surgery, Xiangya Hospital, Central South University, Changsha 410008, China
| | - W C Wang
- Department of Orthopedic Surgery, Second Hospital of Xiangya, Central South University, Changsha 410016, China
| | - W Huang
- Department of Orthopedic Surgery, First Hospital of Chongqing Medical University, Chongqing 400010, China
| | - J C Wang
- Department of Orthopedic Surgery, Second Hospital of Jilin University, Changchun 130021, China
| | - S Q Tao
- Department of Orthopedic Surgery, Second Hospital of Harbin Medical University, Harbin 150001, China
| | - Q R Qian
- Department of Orthopedic Surgery, Shanghai Changzheng Hospital, Shanghai 200030, China
| | - Y Z Wang
- Department of Orthopedic Surgery, Affiliated Hospital of Qingdao University, Qingdao 266003, China
| | - Z Q Zhang
- Department of Orthopedic Surgery, Second Hospital of Shanxi Medical University, Taiyuan 030001, China
| | - X B Tian
- Department of Orthopedic Surgery, Affiliated Hospital of Guizhou Medical University, Guiyang 550000, China
| | - W W Wang
- Department of Orthopaedic Surgery, the First Affiliated Hospital of Harbin Medical University, Harbin 150000, China
| | - Q H Jin
- Department of Orthopaedic Surgery, Affiliated Hospital of Ningxia Medical University, Yinchuan 750010, China
| | - Q S Zhu
- Xijing Hospital of Air Force Military Medical University, Xi'an 710032, China
| | - H Yuan
- Department of Orthopedic Surgery, Xinjiang Uygur Autonomous Region People's Hospital, Urumqi 830002, China
| | - X F Shang
- Department of Orthopedic Surgery, the First Affiliated Hospital of University of Science and Technology of China (Anhui Provincial Hospital), Hefei 230001, China
| | - Z J Shi
- Department of Orthopedic Surgery, Southern Hospital, Southern Medical University, Guangzhou 510515, China
| | - J Zheng
- Department of Orthopedic Surgery, Henan Provincial People's Hospital, Zhengzhou 450003, China
| | - J Z Xu
- Department of Orthopedic Surgery, the First Hospital of Zhengzhou University, Zhengzhou 450002, China
| | - J G Liu
- Department of Orthopedic Surgery, the First Bethune Hospital of Jilin University, Changchun 130000, China
| | - W D Xu
- Department of Orthopaedic Surgery, Shanghai Changhai Hospital, Shanghai 200082, China
| | - X S Weng
- Department of Orthopedic Surgery, State Key Laboratory of Complex Severe and Rare Diseases, Peking Union Medical College Hospital, Chinese Academy of Medical Science and Peking Union Medical College, Beijing 100730, China
| | - G X Qiu
- Department of Orthopedic Surgery, State Key Laboratory of Complex Severe and Rare Diseases, Peking Union Medical College Hospital, Chinese Academy of Medical Science and Peking Union Medical College, Beijing 100730, China
| |
Collapse
|
33
|
Qi Q, Huang X, Zhang Y, Cai S, Liu Z, Qiu T, Cui Z, Zhou A, Yuan X, Zhu W, Min X, Wu Y, Wang W, Zhang C, Xu P. Ultrasound image-based deep learning to assist in diagnosing gross extrathyroidal extension thyroid cancer: a retrospective multicenter study. EClinicalMedicine 2023; 58:101905. [PMID: 37007735 PMCID: PMC10050776 DOI: 10.1016/j.eclinm.2023.101905] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 11/10/2022] [Revised: 02/23/2023] [Accepted: 02/27/2023] [Indexed: 04/04/2023] Open
Abstract
Background The presence of gross extrathyroidal extension (ETE) in thyroid cancer will affect the prognosis of patients, but imaging examination cannot provide a reliable diagnosis for it. This study was conducted to develop a deep learning (DL) model for localization and evaluation of thyroid cancer nodules in ultrasound images before surgery for the presence of gross ETE. Methods From January 2016 to December 2021 grayscale ultrasound images of 806 thyroid cancer nodules (4451 images) from 4 medical centers were retrospectively analyzed, including 517 no gross ETE nodules and 289 gross ETE nodules. 283 no gross ETE nodules and 158 gross ETE nodules were randomly selected from the internal dataset to form a training set and validation set (2914 images), and a multitask DL model was constructed for diagnosing gross ETE. In addition, the clinical model and the clinical and DL combined model were constructed. In the internal test set [974 images (139 no gross ETE nodules and 83 gross ETE nodules)] and the external test set [563 images (95 no gross ETE nodules and 48 gross ETE nodules)], the diagnostic performance of DL model was verified based on the pathological results. And then, compared the results with the diagnosis by 2 senior and 2 junior radiologists. Findings In the internal test set, DL model demonstrated the highest AUC (0.91; 95% CI: 0.87, 0.96), which was significantly higher than that of two senior radiologists [(AUC, 0.78; 95% CI: 0.71, 0.85; P < 0.001) and (AUC, 0.76; 95% CI: 0.70, 0.83; P < 0.001)] and two juniors radiologists [(AUC, 0.65; 95% CI: 0.58, 0.73; P < 0.001) and (AUC, 0.69; 95% CI: 0.62, 0.77; P < 0.001)]. DL model was significantly higher than clinical model [(AUC, 0.84; 95% CI: 0.79, 0.89; P = 0.019)], but there was no significant difference between DL model and clinical and DL combined model [(AUC, 0.94; 95% CI: 0.91, 0.97; P = 0.143)]. In the external test set, DL model also demonstrated the highest AUC (0.88, 95% CI: 0.81, 0.94), which was significantly higher than that of one of senior radiologists [(AUC, 0.75; 95% CI: 0.66, 0.84; P = 0.008) and (AUC, 0.81; 95% CI: 0.72, 0.89; P = 0.152)] and two junior radiologists [(AUC, 0.72; 95% CI: 0.62, 0.81; P = 0.002) and (AUC, 0.67; 95 CI: 0.57, 0.77; P < 0.001]. There was no significant difference between DL model and clinical model [(AUC, 0.85; 95% CI: 0.79, 0.91; P = 0.516)] and clinical + DL model [(AUC, 0.92; 95% CI: 0.87, 0.96; P = 0.093)]. Using DL model, the diagnostic ability of two junior radiologists was significantly improved. Interpretation The DL model based on ultrasound imaging is a simple and helpful tool for preoperative diagnosis of gross ETE thyroid cancer, and its diagnostic performance is equivalent to or even better than that of senior radiologists. Funding Jiangxi Provincial Natural Science Foundation (20224BAB216079), the Key Research and Development Program of Jiangxi Province (20181BBG70031), and the Interdisciplinary Innovation Fund of Natural Science, Nanchang University (9167-28220007-YB2110).
Collapse
Affiliation(s)
- Qi Qi
- Department of Ultrasound, The First Affiliated Hospital of Nanchang University, Nanchang, Jiangxi, China
| | - Xingzhi Huang
- Department of Ultrasound, The First Affiliated Hospital of Nanchang University, Nanchang, Jiangxi, China
| | - Yan Zhang
- Department of Ultrasound, Huashan Hospital, Fudan University, Shanghai, Shanghai, China
| | - Shuangting Cai
- Ultrasound Department, Jiujiang First People's Hospital, Jiujiang, Jiangxi, China
| | - Zhaoyou Liu
- Ultrasound Department, Affiliated Hospital of Jiangxi University of Chinese Medicine, Nanchang, Jiangxi, China
| | - Taorong Qiu
- School of Information Engineering, Nanchang University, Nanchang, Jiangxi, China
| | - Zihan Cui
- School of Information Engineering, Nanchang University, Nanchang, Jiangxi, China
| | - Aiyun Zhou
- Department of Ultrasound, The First Affiliated Hospital of Nanchang University, Nanchang, Jiangxi, China
| | - Xinchun Yuan
- Department of Ultrasound, The First Affiliated Hospital of Nanchang University, Nanchang, Jiangxi, China
| | - Wan Zhu
- Department of Ultrasound, The First Affiliated Hospital of Nanchang University, Nanchang, Jiangxi, China
| | - Xiang Min
- Department of Otolaryngology, Head and Neck Surgery, The First Affiliated Hospital of Nanchang University, Nanchang, Jiangxi, China
| | - Yue Wu
- Department of Ultrasound, The First Affiliated Hospital of Nanchang University, Nanchang, Jiangxi, China
| | - Weijia Wang
- Department of Pathology, The First Affiliated Hospital of Nanchang University, Nanchang, Jiangxi, China
| | - Chunquan Zhang
- Department of Ultrasound, The Second Affiliated Hospital of Nanchang University, Nanchang, Jiangxi, China
- Corresponding author.
| | - Pan Xu
- Department of Ultrasound, The First Affiliated Hospital of Nanchang University, Nanchang, Jiangxi, China
- Corresponding author.
| |
Collapse
|
34
|
Xu P, Xie J, Wang DS, Zhang XP. Metalloradical approach for concurrent control in intermolecular radical allylic C-H amination. Nat Chem 2023; 15:498-507. [PMID: 36635599 PMCID: PMC10073309 DOI: 10.1038/s41557-022-01119-4] [Citation(s) in RCA: 11] [Impact Index Per Article: 11.0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 02/25/2022] [Accepted: 11/28/2022] [Indexed: 01/13/2023]
Abstract
Although they offer great potentials, the high reactivity and diverse pathways of radical chemistry pose difficult problems for applications in organic synthesis. In addition to the differentiation of multiple competing pathways, the control of various selectivities in radical reactions presents both formidable challenges and great opportunities. To regulate chemoselectivity and regioselectivity, as well as diastereoselectivity and enantioselectivity, calls for the formulation of conceptually new approaches and fundamentally different governing principles. Here we show that Co(II)-based metalloradical catalysis enables the radical chemoselective intermolecular amination of allylic C-H bonds through the employment of modularly designed D2-symmetric chiral amidoporphyrins with a tunable pocket-like environment as the supporting ligand. The reaction exhibits a remarkable convergence of regioselectivity, diastereoselectivity and enantioselectivity in a single catalytic operation. In addition to demonstrating the unique opportunities of metalloradical catalysis in controlling homolytic radical reactions, the Co(II)-catalysed convergent C-H amination offers a route to synthesize valuable chiral α-tertiary amines directly from an isomeric mixture of alkenes.
Collapse
Affiliation(s)
- Pan Xu
- Department of Chemistry, Merkert Chemistry Center, Boston College, Boston, MA, USA
| | - Jingjing Xie
- Department of Chemistry, Merkert Chemistry Center, Boston College, Boston, MA, USA
| | - Duo-Sheng Wang
- Department of Chemistry, Merkert Chemistry Center, Boston College, Boston, MA, USA
| | - X Peter Zhang
- Department of Chemistry, Merkert Chemistry Center, Boston College, Boston, MA, USA.
| |
Collapse
|
35
|
Chen Z, Huang T, He T, Zha G, Zhu Q, Zhang G, Xiang D, Chen M, Li H, Ling N, Lan Y, Xiaofeng S, Zhang D, Xu P, Pan Q, Song R, Cao J, Zhang Y, Xiang H, Feng Y, Yang Z, Zhang B, Shen W, Cai D, Peng M, Hu P, Ren H. Humoral responses after primary and booster SARS-CoV-2 inactivated vaccination in patients with chronic hepatitis B virus infection: a longitudinal observational study. J Med Virol 2023; 95:e28695. [PMID: 36946505 DOI: 10.1002/jmv.28695] [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: 10/29/2022] [Revised: 02/25/2023] [Accepted: 03/18/2023] [Indexed: 03/23/2023]
Abstract
Given the pandemic of severe acute respiratory syndrome coronavirus 2 Omicron variants, booster vaccination (BV) using inactivated virus vaccines (the third dose) has been implemented in China. However, the immune responses after BV, especially those against Omicron, in patients with chronic hepatitis B virus (HBV) infection (CHB) are unclear. In this prospective longitudinal study, 114 patients with CHB and 68 healthy controls (HCs) were recruited after receiving inactivated vaccination. The anti-receptor-binding domain (RBD) immunoglobulin G (IgG), neutralizing antibodies (NAbs), neutralization against Omicron (BA2.12.1, BA.4/5), and specific B/T cells were evaluated. In patients, anti-RBD IgG was elevated significantly after BV; the titers were as high as those in HCs. Similar results were obtained for the NAbs. However, compared with that against wild type (WT), the neutralization against Omicron was compromised after BV. The frequency of RBD+ atypical memory B cells increased, but spike-specific cluster of differentiation 4+ /8+ T cells remained unchanged after BV. Moreover, no serious adverse events or HBV reactivation were observed after BV. These results suggest that BV significantly enhanced antibody responses against WT; however, it resulted in compromised antibody responses against Omicron in patients with CHB. Hence, new all-in-one vaccines and optimal vaccination strategies should be studied promptly. This article is protected by copyright. All rights reserved.
Collapse
Affiliation(s)
- Zhiwei Chen
- Department of Infectious Diseases, Key Laboratory of Molecular Biology for Infectious Diseases (Ministry of Education), Institute for Viral Hepatitis, The Second Affiliated Hospital, Chongqing Medical University, Chongqing, China
| | - Tianquan Huang
- Department of Infectious Diseases, Key Laboratory of Molecular Biology for Infectious Diseases (Ministry of Education), Institute for Viral Hepatitis, The Second Affiliated Hospital, Chongqing Medical University, Chongqing, China
| | - Taiyu He
- Department of Infectious Diseases, Key Laboratory of Molecular Biology for Infectious Diseases (Ministry of Education), Institute for Viral Hepatitis, The Second Affiliated Hospital, Chongqing Medical University, Chongqing, China
| | - Guanhua Zha
- Department of Infectious Diseases, Key Laboratory of Molecular Biology for Infectious Diseases (Ministry of Education), Institute for Viral Hepatitis, The Second Affiliated Hospital, Chongqing Medical University, Chongqing, China
| | - Qian Zhu
- Department of Infectious Diseases, Key Laboratory of Molecular Biology for Infectious Diseases (Ministry of Education), Institute for Viral Hepatitis, The Second Affiliated Hospital, Chongqing Medical University, Chongqing, China
| | - Gaoli Zhang
- Department of Infectious Diseases, Key Laboratory of Molecular Biology for Infectious Diseases (Ministry of Education), Institute for Viral Hepatitis, The Second Affiliated Hospital, Chongqing Medical University, Chongqing, China
| | - Dejuan Xiang
- Department of Infectious Diseases, Key Laboratory of Molecular Biology for Infectious Diseases (Ministry of Education), Institute for Viral Hepatitis, The Second Affiliated Hospital, Chongqing Medical University, Chongqing, China
| | - Min Chen
- Department of Infectious Diseases, Key Laboratory of Molecular Biology for Infectious Diseases (Ministry of Education), Institute for Viral Hepatitis, The Second Affiliated Hospital, Chongqing Medical University, Chongqing, China
| | - Hu Li
- Department of Infectious Diseases, Key Laboratory of Molecular Biology for Infectious Diseases (Ministry of Education), Institute for Viral Hepatitis, The Second Affiliated Hospital, Chongqing Medical University, Chongqing, China
| | - Ning Ling
- Department of Infectious Diseases, Key Laboratory of Molecular Biology for Infectious Diseases (Ministry of Education), Institute for Viral Hepatitis, The Second Affiliated Hospital, Chongqing Medical University, Chongqing, China
| | - Yinghua Lan
- Department of Infectious Diseases, Key Laboratory of Molecular Biology for Infectious Diseases (Ministry of Education), Institute for Viral Hepatitis, The Second Affiliated Hospital, Chongqing Medical University, Chongqing, China
| | - Shi Xiaofeng
- Department of Infectious Diseases, Key Laboratory of Molecular Biology for Infectious Diseases (Ministry of Education), Institute for Viral Hepatitis, The Second Affiliated Hospital, Chongqing Medical University, Chongqing, China
| | - Dazhi Zhang
- Department of Infectious Diseases, Key Laboratory of Molecular Biology for Infectious Diseases (Ministry of Education), Institute for Viral Hepatitis, The Second Affiliated Hospital, Chongqing Medical University, Chongqing, China
| | - Pan Xu
- Department of Infectious Diseases, Key Laboratory of Molecular Biology for Infectious Diseases (Ministry of Education), Institute for Viral Hepatitis, The Second Affiliated Hospital, Chongqing Medical University, Chongqing, China
| | - Qingbo Pan
- Department of Infectious Diseases, Key Laboratory of Molecular Biology for Infectious Diseases (Ministry of Education), Institute for Viral Hepatitis, The Second Affiliated Hospital, Chongqing Medical University, Chongqing, China
| | - Rui Song
- Department of Infectious Diseases, Key Laboratory of Molecular Biology for Infectious Diseases (Ministry of Education), Institute for Viral Hepatitis, The Second Affiliated Hospital, Chongqing Medical University, Chongqing, China
| | - Junxiong Cao
- Department of Infectious Diseases, Key Laboratory of Molecular Biology for Infectious Diseases (Ministry of Education), Institute for Viral Hepatitis, The Second Affiliated Hospital, Chongqing Medical University, Chongqing, China
| | - Yingzhi Zhang
- Department of Infectious Diseases, Key Laboratory of Molecular Biology for Infectious Diseases (Ministry of Education), Institute for Viral Hepatitis, The Second Affiliated Hospital, Chongqing Medical University, Chongqing, China
| | - Hongyan Xiang
- Department of Infectious Diseases, Key Laboratory of Molecular Biology for Infectious Diseases (Ministry of Education), Institute for Viral Hepatitis, The Second Affiliated Hospital, Chongqing Medical University, Chongqing, China
| | - Yali Feng
- Department of Infectious Diseases, Key Laboratory of Molecular Biology for Infectious Diseases (Ministry of Education), Institute for Viral Hepatitis, The Second Affiliated Hospital, Chongqing Medical University, Chongqing, China
| | - Ziqiao Yang
- Department of Infectious Diseases, Key Laboratory of Molecular Biology for Infectious Diseases (Ministry of Education), Institute for Viral Hepatitis, The Second Affiliated Hospital, Chongqing Medical University, Chongqing, China
| | - Biqiong Zhang
- Department of Infectious Diseases, Key Laboratory of Molecular Biology for Infectious Diseases (Ministry of Education), Institute for Viral Hepatitis, The Second Affiliated Hospital, Chongqing Medical University, Chongqing, China
| | - Wei Shen
- Department of Infectious Diseases, Key Laboratory of Molecular Biology for Infectious Diseases (Ministry of Education), Institute for Viral Hepatitis, The Second Affiliated Hospital, Chongqing Medical University, Chongqing, China
| | - Dachuan Cai
- Department of Infectious Diseases, Key Laboratory of Molecular Biology for Infectious Diseases (Ministry of Education), Institute for Viral Hepatitis, The Second Affiliated Hospital, Chongqing Medical University, Chongqing, China
| | - Mingli Peng
- Department of Infectious Diseases, Key Laboratory of Molecular Biology for Infectious Diseases (Ministry of Education), Institute for Viral Hepatitis, The Second Affiliated Hospital, Chongqing Medical University, Chongqing, China
| | - Peng Hu
- Department of Infectious Diseases, Key Laboratory of Molecular Biology for Infectious Diseases (Ministry of Education), Institute for Viral Hepatitis, The Second Affiliated Hospital, Chongqing Medical University, Chongqing, China
| | - Hong Ren
- Department of Infectious Diseases, Key Laboratory of Molecular Biology for Infectious Diseases (Ministry of Education), Institute for Viral Hepatitis, The Second Affiliated Hospital, Chongqing Medical University, Chongqing, China
| |
Collapse
|
36
|
Xu P, Li F, Tang H. Pyroptosis and airway homeostasis regulation. Physiol Res 2023; 72:1-13. [PMID: 36545873 PMCID: PMC10069808 DOI: 10.33549/physiolres.934971] [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] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 03/24/2023] Open
Abstract
Pyroptosis is a form of cell death associated with inflammation. In the maintenance of airway homeostasis, pyroptosis goes through activation and assembly of Inflammasome. The pyroptosis pathway is mediated by caspase which activates the pore-forming effect of substrate gasdermin family members. It eventually leads to lysis and release of the cell contents and then induces an inflammatory response. In this process, it participates in airway homeostasis regulation by affecting airway immunity, airway epithelial structure and airway microbiota. Therefore, we discussed the correlation between airway immunity, airway epithelial structure, airway microbiota and the mechanism of pyroptosis to describe the role of pyroptosis in airway homeostasis regulation which is of great significance for understanding the occurrence and treatment of airway inflammatory diseases.
Collapse
Affiliation(s)
- P Xu
- Department of Respiratory Disease and Critical Care Medicine, Shanghai Public Health Clinical Center, Fudan University, Shanghai, China. and
| | | | | |
Collapse
|
37
|
Xie Y, Fan S, Ni D, Wan W, Xu P, Ding Y, Zhang R, Lu J, Zhang N, Zhang Y, Xiao W, Zhao K, Luo C. An ATG4B inhibitor blocks autophagy and Sensitizes Sorafenib Inhibition Activities in HCC tumor cells. Bioorg Med Chem 2023; 84:117262. [PMID: 37018878 DOI: 10.1016/j.bmc.2023.117262] [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] [Journal Information] [Subscribe] [Scholar Register] [Received: 02/01/2023] [Revised: 03/20/2023] [Accepted: 03/24/2023] [Indexed: 03/29/2023]
Abstract
Autophagy related 4B (ATG4B) which regulates autophagy by promoting the formation of autophagosome through reversible modification of LC3, is closely related to cancer cell growth and drug resistance, and therefore is an attractive therapeutic target. Recently, ATG4B inhibitors have been reported, yet with drawbacks including weak potency. To discover more promising ATG4B inhibitors, we developed a high-throughput screening (HTS) assay and identified a new ATG4B inhibitor named DC-ATG4in. DC-ATG4in directly binds to ATG4B and inhibits its enzyme activity with an IC50 of 3.08 ± 0.47 μM. We further confirmed that DC-ATG4in is an autophagy inhibitor and blocks autophagy induced by Sorafenib in Hepatocellular Carcinoma (HCC) cells. More importantly, combination of DC-ATG4in with Sorafenib synergized the cancer cell killing effect and proliferation inhibition activities on HCC cells. Our data suggested that inactivation of autophagy via ATG4B inhibition may be a viable strategy to sensitize existing targeted therapy such as Sorafenib in the future.
Collapse
Affiliation(s)
- Yanqiu Xie
- School of Pharmacy, Key Laboratory of Molecular Pharmacology and Drug Evaluation (Yantai University), Ministry of Education, Collaborative Innovation Center of Advanced Drug Delivery System and Biotech Drugs in Universities of Shandong, Yantai University, Yantai 264005, China; State Key Laboratory of Drug Research, Shanghai Institute of Materia Medica, Chinese Academy of Sciences, 555 Zuchongzhi Road, Shanghai 201203, China
| | - Shijie Fan
- State Key Laboratory of Drug Research, Shanghai Institute of Materia Medica, Chinese Academy of Sciences, 555 Zuchongzhi Road, Shanghai 201203, China; University of Chinese Academy of Sciences, No.19A Yuquan Road, Beijing 100049, China
| | - Dongxuan Ni
- Key Laboratory of Medicinal Chemistry for Natural Resource of Ministry of Education, Yunnan Characteristic Plant Extraction Laboratory, Yunnan Research & Development Center for Natural Products, School of Chemical Science and Technology and School of Medicine, Yunnan University, Kunming 650500, China; State Key Laboratory for Conservation and Utilization of Bio-Resources in Yunnan, Yunnan University, Kunming 650091, China
| | - Wei Wan
- State Key Laboratory of Drug Research, Shanghai Institute of Materia Medica, Chinese Academy of Sciences, 555 Zuchongzhi Road, Shanghai 201203, China
| | - Pan Xu
- State Key Laboratory of Drug Research, Shanghai Institute of Materia Medica, Chinese Academy of Sciences, 555 Zuchongzhi Road, Shanghai 201203, China
| | - Yiluan Ding
- State Key Laboratory of Drug Research, Shanghai Institute of Materia Medica, Chinese Academy of Sciences, 555 Zuchongzhi Road, Shanghai 201203, China
| | - Ruihan Zhang
- Key Laboratory of Medicinal Chemistry for Natural Resource of Ministry of Education, Yunnan Characteristic Plant Extraction Laboratory, Yunnan Research & Development Center for Natural Products, School of Chemical Science and Technology and School of Medicine, Yunnan University, Kunming 650500, China
| | - Jing Lu
- School of Pharmacy, Key Laboratory of Molecular Pharmacology and Drug Evaluation (Yantai University), Ministry of Education, Collaborative Innovation Center of Advanced Drug Delivery System and Biotech Drugs in Universities of Shandong, Yantai University, Yantai 264005, China
| | - Naixia Zhang
- State Key Laboratory of Drug Research, Shanghai Institute of Materia Medica, Chinese Academy of Sciences, 555 Zuchongzhi Road, Shanghai 201203, China
| | - Yuanyuan Zhang
- State Key Laboratory of Drug Research, Shanghai Institute of Materia Medica, Chinese Academy of Sciences, 555 Zuchongzhi Road, Shanghai 201203, China
| | - Weilie Xiao
- Key Laboratory of Medicinal Chemistry for Natural Resource of Ministry of Education, Yunnan Characteristic Plant Extraction Laboratory, Yunnan Research & Development Center for Natural Products, School of Chemical Science and Technology and School of Medicine, Yunnan University, Kunming 650500, China; State Key Laboratory for Conservation and Utilization of Bio-Resources in Yunnan, Yunnan University, Kunming 650091, China.
| | - Kehao Zhao
- School of Pharmacy, Key Laboratory of Molecular Pharmacology and Drug Evaluation (Yantai University), Ministry of Education, Collaborative Innovation Center of Advanced Drug Delivery System and Biotech Drugs in Universities of Shandong, Yantai University, Yantai 264005, China.
| | - Cheng Luo
- State Key Laboratory of Drug Research, Shanghai Institute of Materia Medica, Chinese Academy of Sciences, 555 Zuchongzhi Road, Shanghai 201203, China; University of Chinese Academy of Sciences, No.19A Yuquan Road, Beijing 100049, China; Zhongshan Institute for Drug Discovery, Shanghai Institute of Materia Medica, Chinese Academy of Sciences, Zhongshan 528437, China; School of Pharmaceutical Sciences, Zhejiang Chinese Medical University, Hangzhou 310053, China.
| |
Collapse
|
38
|
He D, Pan C, Zhao Y, Wei W, Qin X, Cai Q, Shi S, Chu X, Zhang N, Jia Y, Wen Y, Cheng B, Liu H, Feng R, Zhang F, Xu P. Exome-wide screening identifies novel rare risk variants for bone mineral density. Osteoporos Int 2023; 34:965-975. [PMID: 36849660 DOI: 10.1007/s00198-023-06710-0] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 08/28/2022] [Accepted: 02/14/2023] [Indexed: 03/01/2023]
Abstract
UNLABELLED Bone mineral density (BMD) is an independent risk factor of osteoporosis-related fractures. We performed gene-based burden tests to assess the association between rare variants and BMD, and identified several BMD candidate genes. PURPOSE BMD is highly heritable and a major predictor of osteoporotic fractures, but its genetic basis remains unclear. We aimed to identify rare risk variants contributing to BMD. METHODS Utilizing the newly released UK Biobank 200,643 exome dataset, we conducted a gene-based exome-wide association study in males and females, respectively. First, 100,639 males and 117,338 females with BMD values were included in the polygenic risk scores (PRS) analysis. Among individuals with lower 30% PRS, cases were individuals with top 10% BMD, and individuals with bottom 10% BMD were the controls. Considering the effects of vitamin D (VD), individuals with the highest 30% VD concentration were selected for VD-BMD analysis. After quality control, 741 males and 697 females were included in the BMD analysis, and 717 males and 708 females were included in the VD-BMD analysis. The variants were annotated by ANNOVAR software, then BMD and VD-BMD qualified variants were imported into the SKAT R-package to perform gene-based burden tests, respectively. RESULTS The gene-based burden test of the exonic variants identified genome-wide candidate associations in ANKRD18A (P = 1.60 × 10-5, PBonferroni adjust = 2.11 × 10-3), C22orf31 (P = 3.49 × 10-4, PBonferroni adjust = 3.17 × 10-2), and SPATC1L (P = 1.09 × 10-5, PBonferroni adjust = 8.80 × 10-3). For VD-BMD analysis, three genes were associated with BMD, such as NIPAL1 (P = 1.06 × 10-3, PBonferroni adjust = 3.91 × 10-2). CONCLUSIONS Our study suggested that rare variants contribute to BMD, providing new sights for broadening the genetic structure of BMD.
Collapse
Affiliation(s)
- D He
- Key Laboratory of Trace Elements and Endemic Diseases of National Health and Family Planning Commission, Xi'an Jiaotong University, Xi'an, China
- Key Laboratory of Environment and Genes Related to Diseases of Ministry of Education of China, Xi'an Jiaotong University, Xi'an, China
- Key Laboratory for Disease Prevention and Control and Health Promotion of Shaanxi Province, Xi'an Jiaotong University, Xi'an, China
| | - C Pan
- Key Laboratory of Trace Elements and Endemic Diseases of National Health and Family Planning Commission, Xi'an Jiaotong University, Xi'an, China
- Key Laboratory of Environment and Genes Related to Diseases of Ministry of Education of China, Xi'an Jiaotong University, Xi'an, China
- Key Laboratory for Disease Prevention and Control and Health Promotion of Shaanxi Province, Xi'an Jiaotong University, Xi'an, China
| | - Y Zhao
- Key Laboratory of Trace Elements and Endemic Diseases of National Health and Family Planning Commission, Xi'an Jiaotong University, Xi'an, China
- Key Laboratory of Environment and Genes Related to Diseases of Ministry of Education of China, Xi'an Jiaotong University, Xi'an, China
- Key Laboratory for Disease Prevention and Control and Health Promotion of Shaanxi Province, Xi'an Jiaotong University, Xi'an, China
| | - W Wei
- Key Laboratory of Trace Elements and Endemic Diseases of National Health and Family Planning Commission, Xi'an Jiaotong University, Xi'an, China
- Key Laboratory of Environment and Genes Related to Diseases of Ministry of Education of China, Xi'an Jiaotong University, Xi'an, China
- Key Laboratory for Disease Prevention and Control and Health Promotion of Shaanxi Province, Xi'an Jiaotong University, Xi'an, China
| | - X Qin
- Key Laboratory of Trace Elements and Endemic Diseases of National Health and Family Planning Commission, Xi'an Jiaotong University, Xi'an, China
- Key Laboratory of Environment and Genes Related to Diseases of Ministry of Education of China, Xi'an Jiaotong University, Xi'an, China
- Key Laboratory for Disease Prevention and Control and Health Promotion of Shaanxi Province, Xi'an Jiaotong University, Xi'an, China
| | - Q Cai
- Key Laboratory of Trace Elements and Endemic Diseases of National Health and Family Planning Commission, Xi'an Jiaotong University, Xi'an, China
- Key Laboratory of Environment and Genes Related to Diseases of Ministry of Education of China, Xi'an Jiaotong University, Xi'an, China
- Key Laboratory for Disease Prevention and Control and Health Promotion of Shaanxi Province, Xi'an Jiaotong University, Xi'an, China
| | - S Shi
- Key Laboratory of Trace Elements and Endemic Diseases of National Health and Family Planning Commission, Xi'an Jiaotong University, Xi'an, China
- Key Laboratory of Environment and Genes Related to Diseases of Ministry of Education of China, Xi'an Jiaotong University, Xi'an, China
- Key Laboratory for Disease Prevention and Control and Health Promotion of Shaanxi Province, Xi'an Jiaotong University, Xi'an, China
| | - X Chu
- Key Laboratory of Trace Elements and Endemic Diseases of National Health and Family Planning Commission, Xi'an Jiaotong University, Xi'an, China
- Key Laboratory of Environment and Genes Related to Diseases of Ministry of Education of China, Xi'an Jiaotong University, Xi'an, China
- Key Laboratory for Disease Prevention and Control and Health Promotion of Shaanxi Province, Xi'an Jiaotong University, Xi'an, China
| | - N Zhang
- Key Laboratory of Trace Elements and Endemic Diseases of National Health and Family Planning Commission, Xi'an Jiaotong University, Xi'an, China
- Key Laboratory of Environment and Genes Related to Diseases of Ministry of Education of China, Xi'an Jiaotong University, Xi'an, China
- Key Laboratory for Disease Prevention and Control and Health Promotion of Shaanxi Province, Xi'an Jiaotong University, Xi'an, China
| | - Y Jia
- Key Laboratory of Trace Elements and Endemic Diseases of National Health and Family Planning Commission, Xi'an Jiaotong University, Xi'an, China
- Key Laboratory of Environment and Genes Related to Diseases of Ministry of Education of China, Xi'an Jiaotong University, Xi'an, China
- Key Laboratory for Disease Prevention and Control and Health Promotion of Shaanxi Province, Xi'an Jiaotong University, Xi'an, China
| | - Y Wen
- Key Laboratory of Trace Elements and Endemic Diseases of National Health and Family Planning Commission, Xi'an Jiaotong University, Xi'an, China
- Key Laboratory of Environment and Genes Related to Diseases of Ministry of Education of China, Xi'an Jiaotong University, Xi'an, China
- Key Laboratory for Disease Prevention and Control and Health Promotion of Shaanxi Province, Xi'an Jiaotong University, Xi'an, China
| | - B Cheng
- Key Laboratory of Trace Elements and Endemic Diseases of National Health and Family Planning Commission, Xi'an Jiaotong University, Xi'an, China
- Key Laboratory of Environment and Genes Related to Diseases of Ministry of Education of China, Xi'an Jiaotong University, Xi'an, China
- Key Laboratory for Disease Prevention and Control and Health Promotion of Shaanxi Province, Xi'an Jiaotong University, Xi'an, China
| | - H Liu
- Key Laboratory of Trace Elements and Endemic Diseases of National Health and Family Planning Commission, Xi'an Jiaotong University, Xi'an, China
- Key Laboratory of Environment and Genes Related to Diseases of Ministry of Education of China, Xi'an Jiaotong University, Xi'an, China
- Key Laboratory for Disease Prevention and Control and Health Promotion of Shaanxi Province, Xi'an Jiaotong University, Xi'an, China
| | - R Feng
- Department of Joint Surgery, HongHui Hospital, Xi'an Jiaotong University, Xi'an, China
| | - F Zhang
- Key Laboratory of Trace Elements and Endemic Diseases of National Health and Family Planning Commission, Xi'an Jiaotong University, Xi'an, China.
- Key Laboratory of Environment and Genes Related to Diseases of Ministry of Education of China, Xi'an Jiaotong University, Xi'an, China.
- Key Laboratory for Disease Prevention and Control and Health Promotion of Shaanxi Province, Xi'an Jiaotong University, Xi'an, China.
- School of Public Health, Xi'an Jiaotong University Health Science Center, Xi'an, China.
| | - P Xu
- Department of Joint Surgery, HongHui Hospital, Xi'an Jiaotong University, Xi'an, China.
| |
Collapse
|
39
|
Xu P, Liu W, Qian W, Wang J, Wang Y, Zhou X, Zhu Y, Xu Y, Zhu X. Increase in skeletal muscle extracellular volume as an under-recognised change detected at cardiac MRI in hypertrophic cardiomyopathy. Clin Radiol 2023; 78:e401-e408. [PMID: 36890013 DOI: 10.1016/j.crad.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] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 09/02/2022] [Revised: 01/04/2023] [Accepted: 02/07/2023] [Indexed: 02/24/2023]
Abstract
AIM To explore skeletal muscle change and its correlation with the myocardium in hypertrophic cardiomyopathy (HCM) using cardiac magnetic resonance imaging (cMRI) with T1 mapping and late gadolinium enhancement (LGE). MATERIALS AND METHODS This retrospective study enrolled 50 HCM patients and 35 healthy controls. The extracellular volume (ECV) of the skeletal muscle and myocardium, the presence and absence of LGE of the myocardium, and cardiac troponin T (cTnT), were assessed. In the HCM group, the elevated ECVskeletal group was defined as ECVskeletal >2 standard deviations (SD) above the mean value of the controls. Statistical analyses included Student's t-test, the Mann-Whitney U-test, and linear regression. RESULTS ECVskeletal in the HCM group was higher than in the control group (mean 13.0 versus 10.9%; p<0.001), with 20 (40%) HCM patients having elevated ECVskeletal (ECVskeletal ≥13.7%). In the HCM group, ECVskeletal had a positive linear correlation with global myocardial ECV (r=0.37, p=0.009). In addition, the elevated ECVskeletal group had a higher cTnT than the non-elevated group (log cTnT, mean 1.55 versus 1.16, p=0.045). Furthermore, segmental myocardial ECV in the elevated ECVskeletal group was higher than in the non-elevated group, despite the presence or absence of myocardial LGE (median 30.1 versus 27.2%; 26.5 versus 24.6%, both p<0.001) or hypertrophy (median 29.0 versus 26.0%; 26.8 versus 24.8%, both p<0.001). CONCLUSION In the HCM patients, ECVskeletal was higher than in the healthy controls. Furthermore, some ECVskeletal changes had corresponding changes in the cTnT and myocardium.
Collapse
Affiliation(s)
- P Xu
- Department of Radiology, The First Affiliated Hospital of Nanjing Medical University, Nanjing, Jiangsu, 210029, China
| | - W Liu
- Department of Radiology, The First Affiliated Hospital of Nanjing Medical University, Nanjing, Jiangsu, 210029, China
| | - W Qian
- Department of Radiology, The First Affiliated Hospital of Nanjing Medical University, Nanjing, Jiangsu, 210029, China
| | - J Wang
- Department of Radiology, The First Affiliated Hospital of Nanjing Medical University, Nanjing, Jiangsu, 210029, China
| | - Y Wang
- Department of Radiology, The First Affiliated Hospital of Nanjing Medical University, Nanjing, Jiangsu, 210029, China
| | - X Zhou
- MR Collaboration, Siemens Healthineers, Shanghai, China
| | - Y Zhu
- Department of Radiology, The First Affiliated Hospital of Nanjing Medical University, Nanjing, Jiangsu, 210029, China
| | - Y Xu
- Department of Radiology, The First Affiliated Hospital of Nanjing Medical University, Nanjing, Jiangsu, 210029, China
| | - X Zhu
- Department of Radiology, The First Affiliated Hospital of Nanjing Medical University, Nanjing, Jiangsu, 210029, China.
| |
Collapse
|
40
|
Ma W, Xu P, Xu Y. Fairness Maximization among Offline Agents in Online-Matching Markets. ACM Trans Econ Comput 2023. [DOI: 10.1145/3569705] [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: 02/12/2023]
Abstract
Online matching markets (OMMs) are commonly used in today’s world to pair agents from two parties (whom we will call
offline
and
online
agents) for mutual benefit. However, studies have shown that the algorithms making decisions in these OMMs often leave disparities in matching rates, especially for offline agents. In this paper, we propose online matching algorithms that optimize for either individual or group-level fairness among offline agents in OMMs. We present two linear-programming (LP) based sampling algorithms, which achieve competitive ratios at least 0.725 for individual fairness maximization and 0.719 for group fairness maximization. We derive further bounds based on fairness parameters, demonstrating conditions under which the competitive ratio can increase to 100%. There are two key ideas helping us break the barrier of
\(1-1/e\sim 63.2\% \)
for competitive ratio in online matching. One is
boosting
, which is to adaptively re-distribute all sampling probabilities among only the available neighbors for every arriving online agent. The other is
attenuation
, which aims to balance the matching probabilities among offline agents with different mass allocated by the benchmark LP. We conduct extensive numerical experiments and results show that our boosted version of sampling algorithms are not only conceptually easy to implement but also highly effective in practical instances of OMMs where fairness is a concern.
Collapse
Affiliation(s)
| | - Pan Xu
- New Jersey Institute of Technology, USA
| | | |
Collapse
|
41
|
Xu P, Shang Z, Zhang W, Chen Z, Li G. Efficient capture of benzene and its homologues volatile organic compounds with π electron donor-based deep eutectic solvent: experimental and computational thermodynamics. J Mol Liq 2023. [DOI: 10.1016/j.molliq.2023.121498] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 02/21/2023]
|
42
|
Ai L, Li Y, Zhou L, Yao W, Zhang H, Hu Z, Han J, Wang W, Wu J, Xu P, Wang R, Li Z, Li Z, Wei C, Liang J, Chen H, Yang Z, Guo M, Huang Z, Wang X, Zhang Z, Xiang W, Sun D, Xu L, Huang M, Lv B, Peng P, Zhang S, Ji X, Luo H, Chen N, Chen J, Lan K, Hu Y. Lyophilized mRNA-lipid nanoparticle vaccines with long-term stability and high antigenicity against SARS-CoV-2. Cell Discov 2023; 9:9. [PMID: 36683074 PMCID: PMC9868121 DOI: 10.1038/s41421-022-00517-9] [Citation(s) in RCA: 12] [Impact Index Per Article: 12.0] [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: 09/14/2022] [Accepted: 12/28/2022] [Indexed: 01/24/2023] Open
Abstract
Advanced mRNA vaccines play vital roles against SARS-CoV-2. However, most current mRNA delivery platforms need to be stored at -20 °C or -70 °C due to their poor stability, which severely restricts their availability. Herein, we develop a lyophilization technique to prepare SARS-CoV-2 mRNA-lipid nanoparticle vaccines with long-term thermostability. The physiochemical properties and bioactivities of lyophilized vaccines showed no change at 25 °C over 6 months, and the lyophilized SARS-CoV-2 mRNA vaccines could elicit potent humoral and cellular immunity whether in mice, rabbits, or rhesus macaques. Furthermore, in the human trial, administration of lyophilized Omicron mRNA vaccine as a booster shot also engendered strong immunity without severe adverse events, where the titers of neutralizing antibodies against Omicron BA.1/BA.2/BA.4 were increased by at least 253-fold after a booster shot following two doses of the commercial inactivated vaccine, CoronaVac. This lyophilization platform overcomes the instability of mRNA vaccines without affecting their bioactivity and significantly improves their accessibility, particularly in remote regions.
Collapse
Affiliation(s)
- Liangxia Ai
- Shenzhen Rhegen Biotechnology Co. Ltd., Shenzhen, Guangdong China
| | - Yafei Li
- Shenzhen Rhegen Biotechnology Co. Ltd., Shenzhen, Guangdong China
| | - Li Zhou
- grid.49470.3e0000 0001 2331 6153State Key Laboratory of Virology, College of Life Sciences, ABSL-3 Laboratory/Institute for Vaccine Research, TaiKang Center for Life and Medical Sciences, Wuhan University, Wuhan, Hubei China
| | - Wenrong Yao
- Jiangsu Rec-biotechnology Co. Ltd., Taizhou, Jiangsu China
| | - Hao Zhang
- Shenzhen Rhegen Biotechnology Co. Ltd., Shenzhen, Guangdong China
| | - Zhaoyu Hu
- Shenzhen Rhegen Biotechnology Co. Ltd., Shenzhen, Guangdong China
| | - Jinyu Han
- Shenzhen Rhegen Biotechnology Co. Ltd., Shenzhen, Guangdong China
| | - Weijie Wang
- Shenzhen Rhegen Biotechnology Co. Ltd., Shenzhen, Guangdong China
| | - Junmiao Wu
- Shenzhen Rhegen Biotechnology Co. Ltd., Shenzhen, Guangdong China
| | - Pan Xu
- Shenzhen Rhegen Biotechnology Co. Ltd., Shenzhen, Guangdong China
| | - Ruiyue Wang
- Shenzhen Rhegen Biotechnology Co. Ltd., Shenzhen, Guangdong China
| | - Zhangyi Li
- Shenzhen Rhegen Biotechnology Co. Ltd., Shenzhen, Guangdong China
| | - Zhouwang Li
- Shenzhen Rhegen Biotechnology Co. Ltd., Shenzhen, Guangdong China
| | - Chengliang Wei
- Shenzhen Rhegen Biotechnology Co. Ltd., Shenzhen, Guangdong China
| | - Jianqun Liang
- Shenzhen Rhegen Biotechnology Co. Ltd., Shenzhen, Guangdong China
| | - Haobo Chen
- Shenzhen Rhegen Biotechnology Co. Ltd., Shenzhen, Guangdong China
| | - Zhimiao Yang
- Shenzhen Rhegen Biotechnology Co. Ltd., Shenzhen, Guangdong China
| | - Ming Guo
- grid.49470.3e0000 0001 2331 6153State Key Laboratory of Virology, College of Life Sciences, ABSL-3 Laboratory/Institute for Vaccine Research, TaiKang Center for Life and Medical Sciences, Wuhan University, Wuhan, Hubei China
| | - Zhixiang Huang
- grid.49470.3e0000 0001 2331 6153State Key Laboratory of Virology, College of Life Sciences, ABSL-3 Laboratory/Institute for Vaccine Research, TaiKang Center for Life and Medical Sciences, Wuhan University, Wuhan, Hubei China
| | - Xin Wang
- grid.49470.3e0000 0001 2331 6153State Key Laboratory of Virology, College of Life Sciences, ABSL-3 Laboratory/Institute for Vaccine Research, TaiKang Center for Life and Medical Sciences, Wuhan University, Wuhan, Hubei China
| | - Zhen Zhang
- grid.49470.3e0000 0001 2331 6153State Key Laboratory of Virology, College of Life Sciences, ABSL-3 Laboratory/Institute for Vaccine Research, TaiKang Center for Life and Medical Sciences, Wuhan University, Wuhan, Hubei China
| | - Wenjie Xiang
- grid.49470.3e0000 0001 2331 6153State Key Laboratory of Virology, College of Life Sciences, ABSL-3 Laboratory/Institute for Vaccine Research, TaiKang Center for Life and Medical Sciences, Wuhan University, Wuhan, Hubei China
| | - Dazheng Sun
- Shenzhen Rhegen Biotechnology Co. Ltd., Shenzhen, Guangdong China
| | - Lianqiang Xu
- Shenzhen Rhegen Biotechnology Co. Ltd., Shenzhen, Guangdong China
| | - Meiyan Huang
- Shenzhen Rhegen Biotechnology Co. Ltd., Shenzhen, Guangdong China
| | - Bin Lv
- Shenzhen Rhegen Biotechnology Co. Ltd., Shenzhen, Guangdong China
| | - Peiqi Peng
- Shenzhen Rhegen Biotechnology Co. Ltd., Shenzhen, Guangdong China
| | - Shangfeng Zhang
- Shenzhen Rhegen Biotechnology Co. Ltd., Shenzhen, Guangdong China
| | - Xuhao Ji
- Shenzhen Rhegen Biotechnology Co. Ltd., Shenzhen, Guangdong China
| | - Huiyi Luo
- Shenzhen Rhegen Biotechnology Co. Ltd., Shenzhen, Guangdong China
| | - Nanping Chen
- Shenzhen Rhegen Biotechnology Co. Ltd., Shenzhen, Guangdong China
| | - Jianping Chen
- Jiangsu Rec-biotechnology Co. Ltd., Taizhou, Jiangsu China ,Wuhan Recogen Biotechnology Co. Ltd., Wuhan, Hubei China
| | - Ke Lan
- grid.49470.3e0000 0001 2331 6153State Key Laboratory of Virology, College of Life Sciences, ABSL-3 Laboratory/Institute for Vaccine Research, TaiKang Center for Life and Medical Sciences, Wuhan University, Wuhan, Hubei China
| | - Yong Hu
- Shenzhen Rhegen Biotechnology Co. Ltd., Shenzhen, Guangdong China ,Wuhan Recogen Biotechnology Co. Ltd., Wuhan, Hubei China
| |
Collapse
|
43
|
Xu P, Yu JJ, Zhang WY, Yang DD, Sun CW, Chen XY, Yuan Q, Ye SD, Zhao L, Liu ZF, Li J. [Study on the related factors of antiviral treatment in previously reported hepatitis C patients based on the Andersen model]. Zhonghua Gan Zang Bing Za Zhi 2023; 31:49-55. [PMID: 36948849 DOI: 10.3760/cma.j.cn501113-20221108-00551] [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: 03/24/2023]
Abstract
Objective: To understand the basic characteristics of previously reported patients with hepatitis C and analyze the related factors affecting their antiviral treatment. Methods: A convenient sampling method was adopted. Patients who had been previously diagnosed with hepatitis C in the Wenshan Prefecture of Yunnan Province and Xuzhou City of Jiangsu Province were contacted by telephone for an interview study. The Andersen health service utilization behavior model and related literature were used to design the research framework for antiviral treatment in previously reported hepatitis C patients. A step-by-step multivariate regression analysis was used in previously reported hepatitis C patients treated with antiviral therapy. Results: A total of 483 hepatitis C patients, aged 51.73 ± 12.06 years, were investigated. The proportion of male, agricultural occupants who were registered permanent residents, farmers and migrant workers was 65.24%, 67.49%, and 58.18%, respectively. Han ethnicity (70.81%), married (77.02%), and junior high school and below educational level (82.61%) were the main ones. Multivariate logistic regression analysis results showed that married patients with hepatitis C (OR = 3.19, 95% CI: 1.93-5.25, compared with unmarried, divorced, and widowed patients) with high school education or above (OR = 2.54, 95% CI: 1.54-4.20, compared with patients with junior high school education or below) were more likely to receive antiviral treatment in the predisposition module. Patients with severe self-perceived hepatitis C in the need factor module (compared with patients with mild self-perceived disease, OR = 3.36, 95% CI: 2.09-5.40) were more likely to receive treatment. In the competency module, the family's per capita monthly income was more than 1,000 yuan (compared with patients with per capita monthly income below 1,000 yuan, OR = 1.59, 95% CI: 1.02-2.47), and the patients had a high level of awareness of hepatitis C knowledge (compared with patients with a low level of knowledge, OR = 1.54, 95% CI: 1.01-2.35), and the family members who knew the patient's infection status (compared with patients with an unknown infection status, OR = 4.59, 95% CI: 2.24-9.39) were more likely to receive antiviral treatment. Conclusion: Different income, educational, and marital statuses are related to antiviral treatment behavior in hepatitis C patients. Family support of hepatitis C patients receiving hepatitis C-related knowledge and their families knowing the infection status is more important in promoting the antiviral treatment of patients, suggesting that in the future, we should further strengthen the hepatitis C knowledge of hepatitis C patients, especially the family support of hepatitis C patients' families in treatment.
Collapse
Affiliation(s)
- P Xu
- National Center for AIDS/STD Control and Prevention, Chinese Center for Disease Control and Prevention, Beijing 102206, China Shandong Provincial Qianfoshan Hospital, The First Hospital Affiliated with Shandong First Medical University, Jinan 250014, China
| | - J J Yu
- National Center for AIDS/STD Control and Prevention, Chinese Center for Disease Control and Prevention, Beijing 102206, China
| | - W Y Zhang
- Institute for AIDS/STD Control and Prevention, Yunnan Center for Disease Control and Prevention, Kunming 650022, China
| | - D D Yang
- Institute for AIDS/STD Control and Prevention, Jiangsu Center for Disease Control and Prevention, Nanjing 210009, China
| | - C W Sun
- Department of AIDS/STD Control and Prevention, Xuzhou Center for Disease Control and Prevention, Xuzhou 221000, China
| | - X Y Chen
- Department of HIV/AIDS Control and Prevention, Wenshan Zhuang and Miao Autonomous Prefecture Center for Disease Control and Prevention, Wenshan 663099, China
| | - Q Yuan
- National Center for AIDS/STD Control and Prevention, Chinese Center for Disease Control and Prevention, Beijing 102206, China
| | - S D Ye
- National Center for AIDS/STD Control and Prevention, Chinese Center for Disease Control and Prevention, Beijing 102206, China
| | - L Zhao
- National Center for AIDS/STD Control and Prevention, Chinese Center for Disease Control and Prevention, Beijing 102206, China
| | - Z F Liu
- National Center for AIDS/STD Control and Prevention, Chinese Center for Disease Control and Prevention, Beijing 102206, China
| | - J Li
- National Center for AIDS/STD Control and Prevention, Chinese Center for Disease Control and Prevention, Beijing 102206, China
| |
Collapse
|
44
|
Shang Z, Xu P, Ke Z, Yao M, Li X. Diesel removal and recovery from heavily diesel-contaminated soil based on three-liquid-phase equilibria of diesel + 2-butyloxyethanol + water. J Hazard Mater 2023; 442:130061. [PMID: 36182881 DOI: 10.1016/j.jhazmat.2022.130061] [Citation(s) in RCA: 1] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Subscribe] [Scholar Register] [Received: 06/05/2022] [Revised: 09/01/2022] [Accepted: 09/22/2022] [Indexed: 06/16/2023]
Abstract
Diesel contamination poses a serious threat to ecosystem and human health. This study proposes a novel method for simultaneous diesel removal and recovery from heavily diesel-contaminated soil by washing based on three-liquid-phase equilibria of diesel+2-butoxyethanol+water. This work covers both theoretical-cum-experimental explorations. For this brand-new ternary three-liquid-phase system (TPS), Ternary-Gibbs and Fish-Shaped phase diagrams were constructed through the phase behavior investigation to provide theoretical support for diesel removal/recovery. As the experiment demonstrated, the removal efficiency was up to 87.5 % for the contaminated soil with diesel content of 226,723 mg/kg, and the recovery rate reached 73.8 %. In addition, the TPS could also be used continuously during the washing process while avoiding solution purification, and the detached diesel would automatically float into the top phase without complicated separation. The mechanism of diesel removal was determined as the surface "stripping" effect based on ultralow interfacial tension, and the enhanced process involved "stripping+dissolution". The treated soil contained almost negligible organic solvent residue and was therefore appropriate for plant cultivation. The recovered diesel exhibited less variation from commercial diesel in composition and properties, possessing a higher potential for reuse. Moreover, this study also provided key insights into the residual mechanisms of recalcitrant hydrocarbons in the soil.
Collapse
Affiliation(s)
- Zhijie Shang
- Department of Chemistry and Chemical Engineering, University of Science and Technology Beijing, Beijing 100083, PR China.
| | - Pan Xu
- Department of Chemistry and Chemical Engineering, University of Science and Technology Beijing, Beijing 100083, PR China
| | - Zhenyu Ke
- Department of Chemistry and Chemical Engineering, University of Science and Technology Beijing, Beijing 100083, PR China
| | - Meiling Yao
- Department of Chemistry and Chemical Engineering, University of Science and Technology Beijing, Beijing 100083, PR China
| | - Xinxue Li
- Department of Chemistry and Chemical Engineering, University of Science and Technology Beijing, Beijing 100083, PR China.
| |
Collapse
|
45
|
Zhang S, Qi S, He X, Xu P, Song B. Emission‐tunable nanofluorophores through the self‐assembly of amphiphilic block copolymers: toward application in cell imaging. CHINESE J CHEM 2023. [DOI: 10.1002/cjoc.202200748] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 01/12/2023]
Affiliation(s)
- Shensong Zhang
- College of Chemistry, Chemical Engineering and Materials Science Soochow University Suzhou 215123 P. R. China
| | - Shuang Qi
- College of Chemistry, Chemical Engineering and Materials Science Soochow University Suzhou 215123 P. R. China
| | - Xiongfei He
- College of Chemistry, Chemical Engineering and Materials Science Soochow University Suzhou 215123 P. R. China
| | - Pan Xu
- Physical Chemistry I & Research Center of Micro‐ and Nanochemistry and (Bio)Technology (Cμ), Department of Chemistry and Biology School of Science and Technology, University of Siegen, Adolf‐Reichwein‐Str. 2 57076 Siegen Germany
| | - Bo Song
- College of Chemistry, Chemical Engineering and Materials Science Soochow University Suzhou 215123 P. R. China
| |
Collapse
|
46
|
Li H, Li S, Xu P, Wang X, Deng H, Lei Y, Zhong S. Analysis of neutralizing antibodies to COVID-19 inactivated or subunit recombinant vaccines in hospitalized patients with liver dysfunction. Front Immunol 2023; 14:1084646. [PMID: 36742314 PMCID: PMC9889857 DOI: 10.3389/fimmu.2023.1084646] [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: 10/30/2022] [Accepted: 01/04/2023] [Indexed: 01/19/2023] Open
Abstract
Background The neutralizing antibodies (NAbs) response after COVID-19 vaccination after liver dysfunction is unclear. In this study, we evaluated the NAbs response after COVID-19 vaccination in hospitalized patients suffering from liver dysfunction. Methods In this cross-sectional study with longitudinal follow-up, we enrolled eligible patients with liver dysfunction and healthy volunteers with full-course COVID-19 vaccination. Blood samples were collected for the NAbs testing at the time of admission and after treatment. Multiple regression analysis to assess independent risk factors affecting NAbs response. Results A total of 137 patients and 134 healthy controls (HC) were enrolled. Both seropositivity (65.7% vs 80.6%, p<0.01) and titer (3.95 vs 4.94 log2 AU/ml, p<0.001) of NAbs in patients were significantly lower than that in HC. The decrease of antibody titer in patients was significantly faster than that in HC. After adjusting for potential confounding factors, males (odds ratio [OR]: 0.17; 95% confidence interval [CI]: 0.06, 0.46; p<0.001) and severe liver damage (OR: 0.30; 95% CI: 0.12, 0.71; p<0.01) were significantly associated with reduction of the probability of NAbs seropositivity in the multiple regression analysis. Males (β =-1.18; 95% CI: -1.73,-0.64) and chronic liver diseases (β =-1.45; 95% CI: -2.13, -0.76) were significantly associated with lower NAbs titers. In 26 patients with liver failure, both antibody seropositivity (53.8% vs 84.6%, p<0.05) and titer (3.55 vs 4.32 log2 AU/ml, p<0.001) did not decrease but increased after artificial liver plasmapheresis. Conclusions NAbs response to COVID-19 inactivated or subunit recombinant vaccines was waning in patients with liver dysfunction. Moreover, patients with male sex, severe liver injury and chronic liver diseases have an increased risk of poor antibody responses.
Collapse
Affiliation(s)
- Hu Li
- Key Laboratory of Molecular Biology for Infectious Diseases (Ministry of Education), Institute for Viral Hepatitis, Department of Infectious Diseases, The Second Affiliated Hospital of Chongqing Medical University, Chongqing, China
| | - Shiyin Li
- Key Laboratory of Molecular Biology for Infectious Diseases (Ministry of Education), Institute for Viral Hepatitis, Department of Infectious Diseases, The Second Affiliated Hospital of Chongqing Medical University, Chongqing, China
| | - Pan Xu
- Key Laboratory of Molecular Biology for Infectious Diseases (Ministry of Education), Institute for Viral Hepatitis, Department of Infectious Diseases, The Second Affiliated Hospital of Chongqing Medical University, Chongqing, China
| | - Xiaohao Wang
- Key Laboratory of Molecular Biology for Infectious Diseases (Ministry of Education), Institute for Viral Hepatitis, Department of Infectious Diseases, The Second Affiliated Hospital of Chongqing Medical University, Chongqing, China
| | - Huan Deng
- Key Laboratory of Molecular Biology for Infectious Diseases (Ministry of Education), Institute for Viral Hepatitis, Department of Infectious Diseases, The Second Affiliated Hospital of Chongqing Medical University, Chongqing, China
| | - Yu Lei
- Key Laboratory of Molecular Biology for Infectious Diseases (Ministry of Education), Institute for Viral Hepatitis, Department of Infectious Diseases, The Second Affiliated Hospital of Chongqing Medical University, Chongqing, China
| | - Shan Zhong
- Key Laboratory of Molecular Biology for Infectious Diseases (Ministry of Education), Institute for Viral Hepatitis, Department of Infectious Diseases, The Second Affiliated Hospital of Chongqing Medical University, Chongqing, China
| |
Collapse
|
47
|
Xu P, Li Q, Liang W, Hu Y, Chen R, Lou K, Zhan L, Wu X, Pu J. A tissue-specific profile of miRNAs and their targets related to paeoniaflorin and monoterpenoids biosynthesis in Paeonia lactiflora Pall. by transcriptome, small RNAs and degradome sequencing. PLoS One 2023; 18:e0279992. [PMID: 36701382 PMCID: PMC9879538 DOI: 10.1371/journal.pone.0279992] [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] [MESH Headings] [Grants] [Track Full Text] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 03/18/2022] [Accepted: 12/19/2022] [Indexed: 01/27/2023] Open
Abstract
Paeonia lactiflora Pall. (Paeonia) has aroused many concerns due to its extensive medicinal value, in which monoterpene glucoside paeoniflorin and its derivatives are the active chemical components. However, little is known in the molecular mechanism of monoterpenoids biosynthesis, and the regulation network between small RNAs and mRNAs in monoterpenoids biosynthesis has not been investigated yet. Herein, we attempted to reveal the tissue-specific regulation network of miRNAs and their targets related to paeoniaflorin and monoterpenoids biosynthesis in Paeonia by combining mRNA and miRNA expression data with degradome analysis. In all, 289 miRNAs and 30177 unigenes were identified, of which nine miRNAs from seven miRNA families including miR396, miR393, miR835, miR1144, miR3638, miR5794 and miR9555 were verified as monoterpenoids biosynthesis-related miRNAs by degradome sequencing. Moreover, the co-expression network analysis showed that four monoterpenoids-regulating TFs, namely AP2, MYBC1, SPL12 and TCP2, were putatively regulated by five miRNAs including miR172, miR828, miR858, miR156 and miR319, respectively. The present study will improve our knowledge of the molecular mechanisms of the paeoniaflorin and monoterpenoids biosynthesis mediated by miRNA to a new level, and provide a valuable resource for further study on Paeonia.
Collapse
Affiliation(s)
- Pan Xu
- Center for Medicinal Resources Research, Zhejiang Academy of Traditional Chinese Medicine, Hangzhou, Zhejiang Province, China
- Key Laboratory of Research and Development of Chinese Medicine of Zhejiang Province, Hangzhou, Zhejiang Province, China
| | - Quanqing Li
- Department of Pharmacy, Zhejiang Xiaoshan Hospital, Hangzhou, Zhejiang Province, China
| | - Weiqing Liang
- Center for Medicinal Resources Research, Zhejiang Academy of Traditional Chinese Medicine, Hangzhou, Zhejiang Province, China
- Key Laboratory of Research and Development of Chinese Medicine of Zhejiang Province, Hangzhou, Zhejiang Province, China
| | - Yijuan Hu
- Center for Medicinal Resources Research, Zhejiang Academy of Traditional Chinese Medicine, Hangzhou, Zhejiang Province, China
- Key Laboratory of Research and Development of Chinese Medicine of Zhejiang Province, Hangzhou, Zhejiang Province, China
| | - Rubing Chen
- Center for Medicinal Resources Research, Zhejiang Academy of Traditional Chinese Medicine, Hangzhou, Zhejiang Province, China
- Key Laboratory of Research and Development of Chinese Medicine of Zhejiang Province, Hangzhou, Zhejiang Province, China
| | - Kelang Lou
- Center for Medicinal Resources Research, Zhejiang Academy of Traditional Chinese Medicine, Hangzhou, Zhejiang Province, China
- Key Laboratory of Research and Development of Chinese Medicine of Zhejiang Province, Hangzhou, Zhejiang Province, China
| | - Lianghui Zhan
- Center for Medicinal Resources Research, Zhejiang Academy of Traditional Chinese Medicine, Hangzhou, Zhejiang Province, China
- Key Laboratory of Research and Development of Chinese Medicine of Zhejiang Province, Hangzhou, Zhejiang Province, China
| | - Xiaojun Wu
- Center for Medicinal Resources Research, Zhejiang Academy of Traditional Chinese Medicine, Hangzhou, Zhejiang Province, China
- Key Laboratory of Research and Development of Chinese Medicine of Zhejiang Province, Hangzhou, Zhejiang Province, China
| | - Jinbao Pu
- Center for Medicinal Resources Research, Zhejiang Academy of Traditional Chinese Medicine, Hangzhou, Zhejiang Province, China
- Key Laboratory of Research and Development of Chinese Medicine of Zhejiang Province, Hangzhou, Zhejiang Province, China
- * E-mail:
| |
Collapse
|
48
|
Xu P, Bolat M, Kaya E, Onar S, Ersoy BA, Hila K. δ-r-hyperideals and φ-δ-r-hyperideals of commutative Krasner hyperrings. PEAS 2023. [DOI: 10.3176/proc.2023.1.09] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Track Full Text] [Subscribe] [Scholar Register] [Indexed: 02/16/2023]
|
49
|
Jiang A, Xu P, Yang Z, Zhao Z, Tan Q, Li W, Song C, Dai H, Leng H. Increased Sparc release from subchondral osteoblasts promotes articular chondrocyte degeneration under estrogen withdrawal. Osteoarthritis Cartilage 2023; 31:26-38. [PMID: 36241137 DOI: 10.1016/j.joca.2022.08.020] [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: 04/04/2022] [Revised: 07/08/2022] [Accepted: 08/04/2022] [Indexed: 02/02/2023]
Abstract
OBJECTIVE The incidence of osteoarthritis (OA) in menopausal women is significantly higher than in same-aged men. Investigating the role of subchondral osteoblasts in estrogen deficiency-induced OA may help elucidate the pathological mechanism, providing new insights for the diagnosis and treatment of menopausal OA. METHODS A classical ovariectomy-induced OA (OVX-OA) rat model was utilized to isolate primary articular chondrocytes and subchondral osteoblasts, which were identified and then cocultured in Transwell. The expression of chondrocyte anabolic and catabolic indicators was evaluated. The differentially expressed proteins in the conditioned medium (CM) of osteoblasts were identified by Liquid Chromatograph-Mass Spectrometer (LC-MS/MS). Normal chondrocytes were treated with osteoblast CM, and then RNA sequencing was performed on the treated chondrocytes. KEGG was used to identify significant enrichment of signaling pathways, and Simple Western was used to verify the expression of related proteins in the signaling pathways. RESULTS Coculture of OVX-OA subchondral osteoblasts with chondrocytes significantly downregulated the expression of the anabolic indicators and upregulated the expression of the catabolic indicators in chondrocytes. 1,601 proteins were identified in both normal and OVX osteoblast culture supernatants. Protein-protein interaction network analysis revealed that Sparc was one of the hub proteins. The AMPK/Foxo3a signaling pathway of chondrocytes was downregulated by OVX-OA osteoblasts CM. AICAR, the AMPK agonist, partially reversed the catabolic effect of OVX-OA osteoblasts on chondrocytes. CONCLUSIONS Sparc secreted by OVX-OA subchondral osteoblasts can downregulate the AMPK/Foxo3a signaling pathway of chondrocytes, thereby promoting chondrocyte degeneration.
Collapse
Affiliation(s)
- A Jiang
- Department of Orthopedics, Peking University Third Hospital, Beijing 100191, China; Department of General Surgery, Beijing Pinggu Hospital, Beijing 101299, China
| | - P Xu
- University of Chinese Academy of Sciences, Beijing 100049, China
| | - Z Yang
- Department of Orthopedics, Peking University Third Hospital, Beijing 100191, China
| | - Z Zhao
- Department of Orthopedics, Peking University Third Hospital, Beijing 100191, China
| | - Q Tan
- Department of Orthopedics, Peking University Third Hospital, Beijing 100191, China
| | - W Li
- Department of Orthopedics, Peking University Third Hospital, Beijing 100191, China; Engineering Research Center of Bone and Joint Precision Medicine, Beijing 100191, China
| | - C Song
- Department of Orthopedics, Peking University Third Hospital, Beijing 100191, China; Beijing Key Lab of Spine Diseases, Beijing 100191, China
| | - H Dai
- Department of Immunology, School of Basic Medical Sciences, NHC Key Laboratory of Medical Immunology, Peking University, Beijing 100191, China
| | - H Leng
- Department of Orthopedics, Peking University Third Hospital, Beijing 100191, China.
| |
Collapse
|
50
|
Hu L, Xu Z, Fan R, Wang G, Wang F, Qin X, Yan L, Ji X, Meng M, Sim S, Chen W, Hao C, Wang Q, Zhu H, Zhu S, Xu P, Zhao H, Lindsey K, Daniell H, Wendel JF, Jin S. The complex genome and adaptive evolution of polyploid Chinese pepper (Zanthoxylum armatum and Zanthoxylum bungeanum). Plant Biotechnol J 2023; 21:78-96. [PMID: 36117410 PMCID: PMC9829393 DOI: 10.1111/pbi.13926] [Citation(s) in RCA: 4] [Impact Index Per Article: 4.0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Download PDF] [Figures] [Subscribe] [Scholar Register] [Received: 05/09/2022] [Revised: 07/28/2022] [Accepted: 08/12/2022] [Indexed: 06/15/2023]
Abstract
Zanthoxylum armatum and Zanthoxylum bungeanum, known as 'Chinese pepper', are distinguished by their extraordinary complex genomes, phenotypic innovation of adaptive evolution and species-special metabolites. Here, we report reference-grade genomes of Z. armatum and Z. bungeanum. Using high coverage sequence data and comprehensive assembly strategies, we derived 66 pseudochromosomes comprising 33 homologous phased groups of two subgenomes, including autotetraploid Z. armatum. The genomic rearrangements and two whole-genome duplications created large (~4.5 Gb) complex genomes with a high ratio of repetitive sequences (>82%) and high chromosome number (2n = 4x = 132). Further analysis of the high-quality genomes shed lights on the genomic basis of involutional reproduction, allomones biosynthesis and adaptive evolution in Chinese pepper, revealing a high consistent relationship between genomic evolution, environmental factors and phenotypic innovation. Our study provides genomic resources and new insights for investigating diversification and phenotypic innovation in Chinese pepper, with broader implications for the protection of plants under severe environmental changes.
Collapse
Affiliation(s)
- Lisong Hu
- Spice and Beverage Research Institute, Chinese Academy of Tropical Agricultural SciencesWanningChina
- Ministry of Agriculture Key Laboratory of Genetic Resources Utilization of Spice and Beverage CropsWanningChina
- Key Laboratory of Genetic Improvement and Quality Regulation for Tropical Spice and Beverage Crops of Hainan ProvinceWanningChina
| | - Zhongping Xu
- Spice and Beverage Research Institute, Chinese Academy of Tropical Agricultural SciencesWanningChina
- National Key Laboratory of Crop Genetic ImprovementHuazhong Agricultural UniversityWuhanChina
| | - Rui Fan
- Spice and Beverage Research Institute, Chinese Academy of Tropical Agricultural SciencesWanningChina
- Ministry of Agriculture Key Laboratory of Genetic Resources Utilization of Spice and Beverage CropsWanningChina
- Key Laboratory of Genetic Improvement and Quality Regulation for Tropical Spice and Beverage Crops of Hainan ProvinceWanningChina
| | - Guanying Wang
- National Key Laboratory of Crop Genetic ImprovementHuazhong Agricultural UniversityWuhanChina
| | - Fuqiu Wang
- National Key Laboratory of Crop Genetic ImprovementHuazhong Agricultural UniversityWuhanChina
| | - Xiaowei Qin
- Spice and Beverage Research Institute, Chinese Academy of Tropical Agricultural SciencesWanningChina
- Ministry of Agriculture Key Laboratory of Genetic Resources Utilization of Spice and Beverage CropsWanningChina
- Key Laboratory of Genetic Improvement and Quality Regulation for Tropical Spice and Beverage Crops of Hainan ProvinceWanningChina
| | - Lin Yan
- Spice and Beverage Research Institute, Chinese Academy of Tropical Agricultural SciencesWanningChina
- Ministry of Agriculture Key Laboratory of Genetic Resources Utilization of Spice and Beverage CropsWanningChina
- Key Laboratory of Genetic Improvement and Quality Regulation for Tropical Spice and Beverage Crops of Hainan ProvinceWanningChina
| | - Xunzhi Ji
- Spice and Beverage Research Institute, Chinese Academy of Tropical Agricultural SciencesWanningChina
- Ministry of Agriculture Key Laboratory of Genetic Resources Utilization of Spice and Beverage CropsWanningChina
- Key Laboratory of Genetic Improvement and Quality Regulation for Tropical Spice and Beverage Crops of Hainan ProvinceWanningChina
| | - Minghui Meng
- State Key Laboratory of Grassland and Agro‐Ecosystems, School of Life SciencesLanzhou UniversityLanzhouChina
| | | | - Wei Chen
- National Key Laboratory of Crop Genetic ImprovementHuazhong Agricultural UniversityWuhanChina
| | - Chaoyun Hao
- Spice and Beverage Research Institute, Chinese Academy of Tropical Agricultural SciencesWanningChina
- Ministry of Agriculture Key Laboratory of Genetic Resources Utilization of Spice and Beverage CropsWanningChina
- Key Laboratory of Genetic Improvement and Quality Regulation for Tropical Spice and Beverage Crops of Hainan ProvinceWanningChina
| | - Qinghuang Wang
- Spice and Beverage Research Institute, Chinese Academy of Tropical Agricultural SciencesWanningChina
- Ministry of Agriculture Key Laboratory of Genetic Resources Utilization of Spice and Beverage CropsWanningChina
- Key Laboratory of Genetic Improvement and Quality Regulation for Tropical Spice and Beverage Crops of Hainan ProvinceWanningChina
| | - Huaguo Zhu
- College of Biology and Agricultural ResourcesHuanggang Normal UniversityHuanggangHubeiChina
| | - Shu Zhu
- Jinjiaohong Spice Research InstituteJinjiaohong Agricultural Technology Group CorporationNanjingChina
| | - Pan Xu
- State Key Laboratory of Grassland and Agro‐Ecosystems, School of Life SciencesLanzhou UniversityLanzhouChina
| | - Hui Zhao
- Hainan Key Laboratory for Biosafety Monitoring and Molecular Breeding in Off‐Season Reproduction RegionsHaikouChina
- Sanya Research Institute of Chinese Academy of Tropical Agricultural SciencesSanyaChina
| | | | - Henry Daniell
- Department of Biochemistry, School of Dental MedicineUniversity of PennsylvaniaPhiladelphiaPennsylvaniaUSA
| | - Jonathan F. Wendel
- Department Ecology, Evolution, and Organismal BiologyIowa State UniversityAmesIowaUSA
| | - Shuangxia Jin
- National Key Laboratory of Crop Genetic ImprovementHuazhong Agricultural UniversityWuhanChina
| |
Collapse
|