1
|
Mi N, Liang Z, Yang M, Zhao J, Tian L, Huang C, Xie P, Wu S, He Q, Sun Y, Lin Y, Yue P, Xia B, Yuan J, Meng W. Genetic risk, adherence to healthy lifestyle behaviors, and risk of cholelithiasis: A population-based cohort study. Prev Med 2024; 182:107942. [PMID: 38548025 DOI: 10.1016/j.ypmed.2024.107942] [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: 01/01/2024] [Revised: 03/25/2024] [Accepted: 03/26/2024] [Indexed: 04/01/2024]
Abstract
OBJECTIVE Genetic and lifestyles contribute to cholelithiasis, but the impact of adhering to healthy lifestyle on cholelithiasis risk remains uncertain. We aimed to assess combined lifestyle factors and a polygenic risk score on incident cholelithiasis. METHODS We utilized cholelithiasis genome-wide association study (GWAS) data from FinnGen study, constructing varied polygenic risk score (PRS), and applied them to 317,640 UK Biobank participants. The relative and absolute risk of incident cholelithiasis associated with six well-established lifestyle risk factors, was evaluated and stratified by PRS (low risk [quintile 1], intermediate risk [quintiles 2-4] and high risk [quintile 5]). Lifestyle score was also categorized into favorable, intermediate, and unfavorable groups. RESULTS The PRS derived from 13 single nucleotide polymorphisms (p ≤ 5 × 10-6, r2 < 0.001) showed the best performance. A significant gradient of increase in risk of cholelithiasis was observed across the quintiles of the polygenic risk score (p < 0.001). Compared to participants with low genetic risk, those with intermediate or high genetic risk had a 10% (95% confidence interval [CI] = 1.05-1.17) and 24% (95% CI = 1.16-1.32) higher risk of cholelithiasis. An unfavorable lifestyle was associated with an approximately 50% higher risk of cholelithiasis than a favorable lifestyle. Participants with high genetic risk and an unfavorable lifestyle had 98% (Hazard ratio [HR]: 1.98; 95% CI: 1.67-2.35) higher risk of cholelithiasis than those with low genetic risk and a favorable lifestyle. CONCLUSIONS Our study highlights the importance of lifestyle behaviors intervention on cholelithiasis risk regardless of the genetic risk in White European population.
Collapse
Affiliation(s)
- Ningning Mi
- The First School of Clinical Medicine, Lanzhou University, Lanzhou, Gansu, China; Department of General Surgery, The First Hospital of Lanzhou University, Lanzhou, Gansu, China
| | - Zixin Liang
- Clinical Research Center, Big Data Center, The Seventh Affiliated Hospital, Sun Yat-sen University, Shenzhen, Guangdong, China
| | - Man Yang
- Clinical Research Center, Big Data Center, The Seventh Affiliated Hospital, Sun Yat-sen University, Shenzhen, Guangdong, China; Center for Digestive Disease, The Seventh Affiliated Hospital, Sun Yat-sen University, Shenzhen, Guangdong, China
| | - Jinyu Zhao
- The First School of Clinical Medicine, Lanzhou University, Lanzhou, Gansu, China; Department of General Surgery, The First Hospital of Lanzhou University, Lanzhou, Gansu, China
| | - Liang Tian
- The First School of Clinical Medicine, Lanzhou University, Lanzhou, Gansu, China; Department of General Surgery, The First Hospital of Lanzhou University, Lanzhou, Gansu, China
| | - Chongfei Huang
- The First School of Clinical Medicine, Lanzhou University, Lanzhou, Gansu, China; Department of General Surgery, The First Hospital of Lanzhou University, Lanzhou, Gansu, China
| | - Peng Xie
- Center for Digestive Disease, The Seventh Affiliated Hospital, Sun Yat-sen University, Shenzhen, Guangdong, China
| | - Siqing Wu
- School of Medicine, Shenzhen Campus of Sun Yat-sen University, Shenzhen, China
| | - Qiangsheng He
- Clinical Research Center, Big Data Center, The Seventh Affiliated Hospital, Sun Yat-sen University, Shenzhen, Guangdong, China
| | - Yuxuan Sun
- Clinical Research Center, Big Data Center, The Seventh Affiliated Hospital, Sun Yat-sen University, Shenzhen, Guangdong, China
| | - Yanyan Lin
- The First School of Clinical Medicine, Lanzhou University, Lanzhou, Gansu, China; Department of General Surgery, The First Hospital of Lanzhou University, Lanzhou, Gansu, China
| | - Ping Yue
- The First School of Clinical Medicine, Lanzhou University, Lanzhou, Gansu, China; Department of General Surgery, The First Hospital of Lanzhou University, Lanzhou, Gansu, China
| | - Bin Xia
- Clinical Research Center, Big Data Center, The Seventh Affiliated Hospital, Sun Yat-sen University, Shenzhen, Guangdong, China.
| | - Jinqiu Yuan
- Clinical Research Center, Big Data Center, The Seventh Affiliated Hospital, Sun Yat-sen University, Shenzhen, Guangdong, China.
| | - Wenbo Meng
- The First School of Clinical Medicine, Lanzhou University, Lanzhou, Gansu, China; Department of General Surgery, The First Hospital of Lanzhou University, Lanzhou, Gansu, China.
| |
Collapse
|
2
|
Huang Y, Yuan J. Improvement of assessment in surrogate endpoint and safety outcome of single-arm trials for anticancer drugs. Expert Rev Clin Pharmacol 2024:1-11. [PMID: 38632893 DOI: 10.1080/17512433.2024.2344669] [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: 12/18/2023] [Accepted: 04/15/2024] [Indexed: 04/19/2024]
Abstract
INTRODUCTION Single-arm trials (SATs) and surrogate endpoints were adopted as pivotal evidence for accelerated approval of anticancer drugs for more than 30 years. However, concerns regarding clinical evidence quality in trials, particularly in the SATs of anticancer drugs have increasingly been raised. SAT may not always provide strong evidence due to the lack of control and endpoint of overall survival that is typically present in randomized controlled trials. AREAS COVERED Clinical trial endpoint adjudication is a crucial factor in surrogate outcome measurement to ensure the data quality of the clinical trial of anticancer drugs. In this review, we systematically discuss the characteristics of adjudications in assessments in surrogate endpoint and safety outcome respectively, which are essential for ensuring reliable and transparent outcomes. Endpoint adjudication effectively reduces potential bias and mitigates variance that may be introduced by investigators when analyzing the medical records for the surrogate endpoints. We analyze the advantages and disadvantages of each type of adjudicator and provide a summary of the roles of adjudicators. EXPERT OPINION By suggestion of improving data reliability and transparency in pivotal trials, this review aims to supply a strategy for better clinical investigation for anticancer drugs, ultimately leading to better patient outcomes.
Collapse
Affiliation(s)
- Yafang Huang
- School of General Practice and Continuing Education, Capital Medical University, Beijing, China
| | - Jinqiu Yuan
- Clinical Research Center, The Seventh Affiliated Hospital, Sun Yat-sen University, Shenzhen, Guangdong, China
| |
Collapse
|
3
|
Wang D, Li W, Zhou M, Ma J, Guo Y, Yuan J, He M, Zhang X, Chen W. Association of the triglyceride-glucose index variability with blood pressure and hypertension: a cohort study. QJM 2024; 117:277-282. [PMID: 37950450 DOI: 10.1093/qjmed/hcad252] [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] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 06/06/2023] [Revised: 10/16/2023] [Indexed: 11/12/2023] Open
Abstract
BACKGROUND Several studies have indicated that the triglyceride-glucose index (TyG) index is associated with hypertension; however, evidence on the association of change in the TyG index with blood pressure and hypertension is limited. AIMS To assess the association of the TyG index with blood pressure and hypertension. DESIGN A cohort study. METHODS We included 17 977 individuals with a mean age of 60.5 years from the Dongfeng-Tongji cohort. The TyG index was calculated as ln [fasting triglyceride (mg/dl)×fasting glucose (mg/dl)/2]. Hypertension was defined as blood pressure ≥140/90 mmHg, self-reported current use of antihypertensive medication or self-reported physician diagnosis of hypertension. RESULTS In the longitudinal analyses, we found a linear dose-response relationship between changes in the TyG index and change in blood pressure. Each one-unit change in the TyG index was associated with a 1.93 (1.23-2.63) mmHg increase in systolic blood pressure (SBP) and a 1.78 (1.42-2.16) mmHg increase in diastolic blood pressure (DBP). During a median follow-up of 9.37 years, a total of 3594 individuals were newly diagnosed with hypertension. We also found a linear dose-response relationship between the TyG index and the incidence of hypertension. The hazard ratio (HR) of hypertension for each one-unit increase in the TyG index was 1.21 (1.13-1.29). In addition, the best cut-off point of TyG for predicting hypertension was 8.4797, with sensitivity, and specificity of 57.85% and 55.40%, respectively. CONCLUSIONS The TyG index had a positive dose-response relationship with blood pressure and could be used to predict the risk of hypertension.
Collapse
Affiliation(s)
- D Wang
- Department of Occupational and Environmental Health, School of Public Health, Tongji Medical College, Huazhong University of Science and Technology, Wuhan, Hubei 430030, China
- Key Laboratory of Environment and Health, Ministry of Education & Ministry of Environmental Protection, and State Key Laboratory of Environmental Health (Incubating), School of Public Health, Tongji Medical College, Huazhong University of Science and Technology, Wuhan, Hubei, 430030, China
| | - W Li
- Jockey Club School of Public Health and Primary Care, The Chinese University of Hong Kong, Hong Kong, 999077, China
| | - M Zhou
- Department of Occupational and Environmental Health, School of Public Health, Tongji Medical College, Huazhong University of Science and Technology, Wuhan, Hubei 430030, China
- Key Laboratory of Environment and Health, Ministry of Education & Ministry of Environmental Protection, and State Key Laboratory of Environmental Health (Incubating), School of Public Health, Tongji Medical College, Huazhong University of Science and Technology, Wuhan, Hubei, 430030, China
| | - J Ma
- Department of Occupational and Environmental Health, School of Public Health, Tongji Medical College, Huazhong University of Science and Technology, Wuhan, Hubei 430030, China
- Key Laboratory of Environment and Health, Ministry of Education & Ministry of Environmental Protection, and State Key Laboratory of Environmental Health (Incubating), School of Public Health, Tongji Medical College, Huazhong University of Science and Technology, Wuhan, Hubei, 430030, China
| | - Y Guo
- Department of Occupational and Environmental Health, School of Public Health, Tongji Medical College, Huazhong University of Science and Technology, Wuhan, Hubei 430030, China
- Key Laboratory of Environment and Health, Ministry of Education & Ministry of Environmental Protection, and State Key Laboratory of Environmental Health (Incubating), School of Public Health, Tongji Medical College, Huazhong University of Science and Technology, Wuhan, Hubei, 430030, China
| | - J Yuan
- Department of Occupational and Environmental Health, School of Public Health, Tongji Medical College, Huazhong University of Science and Technology, Wuhan, Hubei 430030, China
- Key Laboratory of Environment and Health, Ministry of Education & Ministry of Environmental Protection, and State Key Laboratory of Environmental Health (Incubating), School of Public Health, Tongji Medical College, Huazhong University of Science and Technology, Wuhan, Hubei, 430030, China
| | - M He
- Department of Occupational and Environmental Health, School of Public Health, Tongji Medical College, Huazhong University of Science and Technology, Wuhan, Hubei 430030, China
- Key Laboratory of Environment and Health, Ministry of Education & Ministry of Environmental Protection, and State Key Laboratory of Environmental Health (Incubating), School of Public Health, Tongji Medical College, Huazhong University of Science and Technology, Wuhan, Hubei, 430030, China
| | - X Zhang
- Department of Occupational and Environmental Health, School of Public Health, Tongji Medical College, Huazhong University of Science and Technology, Wuhan, Hubei 430030, China
- Key Laboratory of Environment and Health, Ministry of Education & Ministry of Environmental Protection, and State Key Laboratory of Environmental Health (Incubating), School of Public Health, Tongji Medical College, Huazhong University of Science and Technology, Wuhan, Hubei, 430030, China
| | - W Chen
- Department of Occupational and Environmental Health, School of Public Health, Tongji Medical College, Huazhong University of Science and Technology, Wuhan, Hubei 430030, China
- Key Laboratory of Environment and Health, Ministry of Education & Ministry of Environmental Protection, and State Key Laboratory of Environmental Health (Incubating), School of Public Health, Tongji Medical College, Huazhong University of Science and Technology, Wuhan, Hubei, 430030, China
| |
Collapse
|
4
|
Li Q, Zhou H, Zhang F, Yuan J, Dong D, Zhang L, Du L. Electrochemical treatment of malachite green dye wastewater by pulse three-dimensional electrode method. Environ Technol 2024; 45:1919-1932. [PMID: 36510769 DOI: 10.1080/09593330.2022.2157757] [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: 07/29/2022] [Accepted: 12/03/2022] [Indexed: 06/17/2023]
Abstract
Water pollution is becoming more and more serious nowadays, and water resources are in shortage. As an environmentally friendly wastewater treatment technology without secondary pollution, the three-dimensional electrode method has received more and more attention. However, the conventional direct current (DC) three-dimensional electrode method has the disadvantages of high energy consumption and low current efficiency. Based on this, this work investigated the treatment of malachite green (MG) dye wastewater by pulse three-dimensional electrode method. The influences of pulse duty cycle, pulse period, electrolysis voltage, initial pH, aeration rate and Na2SO4 concentration on MG degradation were investigated. The results showed that under the optimal operating conditions of pulse duty cycle of 0.4, pulse period of 15 s, electrolysis voltage of 15 V, initial pH of 5, aeration rate of 0.5 L/min, Na2SO4 concentration of 0.10 mol/L, the removal rates of MG and COD reached 96.2% and 80.5%, respectively, the current efficiency reached 93.4%, and the energy consumption was 24.2 kWh/kg COD after 150 min. Compared with DC power supply mode, the MG removal rate, COD removal rate and current efficiency were enhanced, and the energy consumption was reduced by 83.9%. Moreover, the generation capacity of ·OH was increased under pulse power supply mode. Finally, a possible degradation pathway of MG in pulse power supply mode was inferred using UV-vis and GC-MS analysis. This study indicates that the pulse three-dimensional electrode method is an efficient and low-energy-consumption wastewater treatment method with stable degradation performance for MG dye wastewater.
Collapse
Affiliation(s)
- Qinghui Li
- College of Chemical Engineering, Qingdao University of Science and Technology, Qingdao, People's Republic of China
| | - Haoyu Zhou
- College of Chemical Engineering, Qingdao University of Science and Technology, Qingdao, People's Republic of China
| | - Fuyue Zhang
- College of Chemical Engineering, Qingdao University of Science and Technology, Qingdao, People's Republic of China
| | - Jinqiu Yuan
- College of Chemical Engineering, Qingdao University of Science and Technology, Qingdao, People's Republic of China
| | - Dianquan Dong
- College of Chemical Engineering, Qingdao University of Science and Technology, Qingdao, People's Republic of China
| | - Liangjie Zhang
- College of Chemical Engineering, Qingdao University of Science and Technology, Qingdao, People's Republic of China
| | - Lei Du
- College of Chemical Engineering, Qingdao University of Science and Technology, Qingdao, People's Republic of China
| |
Collapse
|
5
|
Hu L, Wu S, Zhang Y, Xia X, Shu Y, He Q, Manshan H, Kuo Z, Zhao Y, Wang P, Li Y, Wang C, Su K, Han H, Yuan J, Xiang J, Xia B. Associations of maternal and personal smoking with all-cause and cause-specific mortality risk and life expectancy: a prospective cohort study. Public Health 2024; 229:144-150. [PMID: 38442596 DOI: 10.1016/j.puhe.2024.02.003] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 11/13/2023] [Revised: 01/18/2024] [Accepted: 02/04/2024] [Indexed: 03/07/2024]
Abstract
OBJECTIVES The aim of this study was to evaluate the individual and combined effects of maternal smoking during pregnancy (MSDP) and personal smoking on mortality and life expectancy. STUDY DESIGN A prospective cohort study based on the UK Biobank, with a median follow-up of 12.47 years. METHODS This study employed multivariate Cox regression to determine the relative risks of mortality from all causes and specific diseases according to maternal and/or personal smoking status and pack-years of smoking (0, 1-20, 21-30, >30). Additionally, this study estimated the additive interaction between the two exposures. Life table analyses were performed using the estimated age-specific mortality rates to forecast life expectancy. RESULTS Results indicated that MSDP elevated the risk of all-cause mortality (HR = 1.12, 95% CI: 1.09-1.15) and mortality due to neoplasms (HR = 1.10, 95% CI: 1.06-1.12), circulatory (HR = 1.13, 95% CI: 1.06-1.19), respiratory (HR = 1.27, 95% CI: 1.16-1.40) and digestive system diseases (HR = 1.22, 95% CI: 1.08-1.38). Notably, both multiplicative and additive interactions were observed between maternal and personal smoking, with Relative Excess Risk due to Interaction (RERI) values for mortality from all causes, neoplasms, circulatory, and respiratory diseases being 0.21, 0.22, 0.16, and 0.76, respectively. This study also found a trend towards shorter gained life expectancy when maternal smoking and increasing pack-years of personal smoking were combined. CONCLUSIONS In this cohort study of UK Biobank, MSDP was associated with an increased risk of all-cause mortality and reduced life expectancy, suggesting that quitting smoking during pregnancy might have health and longevity benefits for both generations.
Collapse
Affiliation(s)
- Linmin Hu
- School of Public Health (Shenzhen), Sun Yat-sen University, Shenzhen 518107, China
| | - Siqing Wu
- School of Medicine, Shenzhen Campus of Sun Yat-sen University, Shenzhen 518107, China
| | - Yunhui Zhang
- Key Lab of Health Technology Assessment, National Health Commission of the People's Republic of China (Fudan University), China; Key Laboratory of Public Health Safety, Ministry of Education, School of Public Health, Fudan University, Shanghai 200032, China
| | - Xuedan Xia
- Clinical Research Center, The Seventh Affiliated Hospital, Sun Yat-sen University, Shenzhen, Guangdong 518107, China
| | - Yuelong Shu
- School of Public Health (Shenzhen), Sun Yat-sen University, Shenzhen 518107, China; Institute of Pathogen Biology, Chinese Academy of Medical Sciences & Pekina Union Medical School, Beijing, China
| | - Qiangsheng He
- Clinical Research Center, The Seventh Affiliated Hospital, Sun Yat-sen University, Shenzhen, Guangdong 518107, China; Big Data Center, The Seventh Affiliated Hospital, Sun Yat-sen University, Shenzhen, Guangdong 518107, China; Chinese Health Risk Management Collaboration (CHRIMAC), Shenzhen, Guangdong 518107, China
| | - Huang Manshan
- Department of Stomatology, The Seventh Affiliated Hospital, Sun Yat-sen University, Shenzhen, Guangdong 518107, China
| | - Zicong Kuo
- Scientific Research Center, The Seventh Affiliated Hospital, Sun Yat-sen University, Shenzhen, Guangdong 518107, China; Center for Digestive Disease, The Seventh Affiliated Hospital, Sun Yat-sen University, Shenzhen, Guangdong 518107, China
| | - Yingya Zhao
- Division of Epidemiology, Department of Medicine, Vanderbilt-Ingram Cancer Center, Vanderbilt Epidemiology Center, Vanderbilt University Medical Center, Nashville, TN, USA
| | - Pengpeng Wang
- Key Lab of Health Technology Assessment, National Health Commission of the People's Republic of China (Fudan University), China; Key Laboratory of Public Health Safety, Ministry of Education, School of Public Health, Fudan University, Shanghai 200032, China
| | - Yanfei Li
- Evidence-Based Medicine Center, School of Basic Medical Sciences, Lanzhou University, Lanzhou 730000, China
| | - Chunliang Wang
- School of Public Health (Shenzhen), Sun Yat-sen University, Shenzhen 518107, China
| | - Kai Su
- School of Public Health (Shenzhen), Sun Yat-sen University, Shenzhen 518107, China
| | - Hengyi Han
- School of Medicine, Tsinghua University, Beijing, China
| | - Jinqiu Yuan
- Clinical Research Center, The Seventh Affiliated Hospital, Sun Yat-sen University, Shenzhen, Guangdong 518107, China; Big Data Center, The Seventh Affiliated Hospital, Sun Yat-sen University, Shenzhen, Guangdong 518107, China; Chinese Health Risk Management Collaboration (CHRIMAC), Shenzhen, Guangdong 518107, China; Center for Digestive Disease, The Seventh Affiliated Hospital, Sun Yat-sen University, Shenzhen, Guangdong 518107, China.
| | - Jianbang Xiang
- School of Public Health (Shenzhen), Sun Yat-sen University, Shenzhen 518107, China.
| | - Bin Xia
- Clinical Research Center, The Seventh Affiliated Hospital, Sun Yat-sen University, Shenzhen, Guangdong 518107, China; Big Data Center, The Seventh Affiliated Hospital, Sun Yat-sen University, Shenzhen, Guangdong 518107, China; Chinese Health Risk Management Collaboration (CHRIMAC), Shenzhen, Guangdong 518107, China.
| |
Collapse
|
6
|
Yu J, Da J, Yu F, Yuan J, Zha Y. HMGN1 down-regulation in the diabetic kidney attenuates tubular cells injury and protects against renal inflammation via suppressing MCP-1 and KIM-1 expression through TLR4. J Endocrinol Invest 2024; 47:1015-1027. [PMID: 38409569 DOI: 10.1007/s40618-023-02292-0] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [Grants] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 08/17/2023] [Accepted: 12/20/2023] [Indexed: 02/28/2024]
Abstract
BACKGROUND Renal tubular injury, accompanied by damaging inflammation, has been identified to drive diabetic kidney disease (DKD) toward end-stage renal disease. However, it is unclear how damage-associated molecular patterns (DAMPs) activate innate immunity to mediate tubular epithelial cell (TEC) injury, which in turn causes with subsequent sterile inflammation in diabetic kidneys. High mobility group nucleosome-binding protein 1 (HMGN1) is a novel DAMP that contributes to generating the innate immune response. In this study, we focused on determining whether HMGN1 is involved in DKD progression. METHODS Streptozotocin (STZ)-induced diabetic mice model was established. Then we downrergulated HMGN1 expression in kidney with or without HMGN1 administration. The renal dysfunction and morphological lesions in the kidneys were evaluated. The expressions of KIM-1, MCP-1, F4/80, CD68, and HMGN1/TLR4 signaling were examined in the renal tissue. In vitro, HK2 cells were exposed in the high glucose with or without HMGN1, and further pre-incubated with TAK242 was applied to elucidate the underlying mechanism. RESULTS We demonstrated that HMGN1 was upregulated in the tubular epithelial cells of streptozotocin (STZ)-induced type 1 and type 2 diabetic mouse kidneys compared to controls, while being positively correlated with increased TLR4, KIM-1, and MCP-1. Down-regulation of renal HMGN1 attenuated diabetic kidney injury, decreased the TLR4, KIM-1, and MCP-1 expression levels, and reduced interstitial infiltrating macrophages. However, these phenotypes were reversed after administration of HMGN1. In HK-2 cells, HMGN1 promoted the expression of KIM-1 and MCP-1 via regulating MyD88/NF-κB pathway; inhibition of TLR4 effectively diminished the in vitro response to HMGN1. CONCLUSIONS Our study provides novel insight into HMGN1 signaling mechanisms that contribute to tubular sterile injury and low-grade inflammation in DKD. The study findings may help to develop new HMGN1-targeted approaches as therapy for immune-mediated kidney damage rather than as an anti-infection treatments.
Collapse
Affiliation(s)
- J Yu
- School of Medicine, Guizhou University, Guiyang, Guizhou, China
- Department of Nephrology, Guizhou Provincial People's Hospital, Guiyang, Guizhou, China
| | - J Da
- Department of Nephrology, Guizhou Provincial People's Hospital, Guiyang, Guizhou, China
| | - F Yu
- School of Medicine, Guizhou University, Guiyang, Guizhou, China
- NHC Key Laboratory of Pulmonary Immunological Disease, Guizhou Provincial People's Hospital, Guiyang, Guizhou, China
| | - J Yuan
- Department of Nephrology, Guizhou Provincial People's Hospital, Guiyang, Guizhou, China
| | - Y Zha
- Department of Nephrology, Guizhou Provincial People's Hospital, Guiyang, Guizhou, China.
- NHC Key Laboratory of Pulmonary Immunological Disease, Guizhou Provincial People's Hospital, Guiyang, Guizhou, China.
| |
Collapse
|
7
|
He Q, Xia B, Yang M, Lu K, Fan D, Li W, Liu Y, Pan Y, Yuan J. Alterations in gut microbiota and bile acids by proton-pump inhibitor use and possible mediating effects on elevated glucose levels and insulin resistance. FASEB J 2024; 38:e23541. [PMID: 38498341 DOI: 10.1096/fj.202302558r] [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: 12/12/2023] [Revised: 02/11/2024] [Accepted: 02/23/2024] [Indexed: 03/20/2024]
Abstract
Several observational studies have suggested that proton-pump inhibitor (PPI) use might increase diabetes risk, but the mechanism remains unclear. This study aimed to investigate the effects of PPI use on gut microbiota and bile acids (BAs) profiles, and to explore whether these changes could mediate the association of PPIs use with fasting blood glucose (FBG) levels and insulin resistance (IR) in Chinese population. A cross-sectional study was conducted in Shenzhen, China, from April to August 2021, enrolled 200 eligible patients from the local hospital. Participants completed a questionnaire and provided blood and stool samples. Gut microbiome was measured by16S rRNA gene sequencing, and bile acids were quantified by UPLC-MS/MS. Insulin resistance (IR) was assessed using the Homeostasis Model Assessment 2 (HOMA2-IR). PPI use was positively associated with higher levels of FBG and HOMA2-IR after controlling for possible confounders. PPI users exhibited a decreased Firmicutes and an increase in Bacteroidetes phylum, alongside higher levels of glycoursodeoxycholic acid (GUDCA) and taurochenodeoxycholic acid (TCDCA). Higher abundances of Bacteroidetes and Fusobacterium as well as higher levels of TCDCA in PPI users were positively associated with elevated FBG or HOMA2-IR. Mediation analyses indicated that the elevated levels of FBG and HOMA2-IR with PPI use were partially mediated by the alterations in gut microbiota and specific BAs (i.e., Fusobacterium genera and TCDCA). Long-term PPI use may increase FBG and HOMA2-IR levels, and alterations in gut microbiota and BAs profiles may partially explain this association.
Collapse
Affiliation(s)
- Qiangsheng He
- Scientific Research Center, Big Data Center, The Seventh Affiliated Hospital, Sun Yat-sen University, Shenzhen, Guangdong, China
- Clinical Research Center, The Seventh Affiliated Hospital, Sun Yat-sen University, Shenzhen, Guangdong, China
- Shenzhen Key Laboratory of Chinese Medicine Active Substance Screening and Translational Research, Shenzhen, Guangdong, China
| | - Bin Xia
- Scientific Research Center, Big Data Center, The Seventh Affiliated Hospital, Sun Yat-sen University, Shenzhen, Guangdong, China
- Clinical Research Center, The Seventh Affiliated Hospital, Sun Yat-sen University, Shenzhen, Guangdong, China
- Shenzhen Key Laboratory of Chinese Medicine Active Substance Screening and Translational Research, Shenzhen, Guangdong, China
| | - Man Yang
- Guangdong Provincial Key Laboratory of Gastroenterology, Center for Digestive Disease, The Seventh Affiliated Hospital, Sun Yat-sen University, Shenzhen, Guangdong, China
| | - Kuiqing Lu
- Clinical Research Center, The Seventh Affiliated Hospital, Sun Yat-sen University, Shenzhen, Guangdong, China
| | - Die Fan
- Clinical Nutrition Department, The General Hospital of Western Theater Command, Chengdu, Sichuan, China
| | - Wenjing Li
- Scientific Research Center, Big Data Center, The Seventh Affiliated Hospital, Sun Yat-sen University, Shenzhen, Guangdong, China
| | - Yuchen Liu
- Scientific Research Center, Big Data Center, The Seventh Affiliated Hospital, Sun Yat-sen University, Shenzhen, Guangdong, China
| | - Yihang Pan
- Scientific Research Center, Big Data Center, The Seventh Affiliated Hospital, Sun Yat-sen University, Shenzhen, Guangdong, China
- Guangdong Provincial Key Laboratory of Gastroenterology, Center for Digestive Disease, The Seventh Affiliated Hospital, Sun Yat-sen University, Shenzhen, Guangdong, China
| | - Jinqiu Yuan
- Scientific Research Center, Big Data Center, The Seventh Affiliated Hospital, Sun Yat-sen University, Shenzhen, Guangdong, China
- Clinical Research Center, The Seventh Affiliated Hospital, Sun Yat-sen University, Shenzhen, Guangdong, China
- Guangdong Provincial Key Laboratory of Gastroenterology, Center for Digestive Disease, The Seventh Affiliated Hospital, Sun Yat-sen University, Shenzhen, Guangdong, China
| |
Collapse
|
8
|
Lan Q, Tian ML, Yuan J, Tong XY, Long CZ, Zha Y. [Association of waist-to-height ratio with sarcopenic obesity in hemodialysis patients with normal body mass index]. Zhonghua Yi Xue Za Zhi 2024; 104:931-937. [PMID: 38514341 DOI: 10.3760/cma.j.cn112137-20230902-00376] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [MESH Headings] [Grants] [Subscribe] [Scholar Register] [Indexed: 03/23/2024]
Abstract
Objective: To explore the association between waist-to-height ratio (WHtR) and sarcopenic obesity (SO) in maintenance hemodialysis (MHD) patients with normal body mass index (BMI). Methods: A multicenter and cross-sectional study that included adult patients undergoing MHD was conducted in 20 hemodialysis centers from June 1st to August 30th, 2021. Body composition was evaluated by body composition monitor based on bioimpedance spectroscopy. According to the quartiles of WHtR, patients were divided into four groups: Q1, Q2, Q3 and Q4 group. The association of WHtR with SO was determined by multiple logistic regression models, stratified analyses, interactive analyses, and receiver operating characteristic (ROC) analyses, respectively. Results: A total of 2 207 MHD patients (1 341 males and 866 females) were included, and aged [M (Q1, Q3)] 57 (44, 68) years. The prevalence of SO was increased with increasing quartiles of WHtR [8.6% (46/533), 22.5% (141/628), 35.4% (215/608), and 44.3% (194/438) for Q1, Q2, Q3, and Q4 group, respectively]. Multivariate logistic regression analysis showed that WHtR was associated with SO. The association remained statistically significant even after adjusting for age, gender, dialysis vintage, BMI, biochemical indicators, and various medical histories. Compared with Q1 group, the odds ratios (OR) were 2.54 (95%CI: 1.69-3.83), 4.30 (95%CI: 2.88-6.42) and 5.18 (95%CI: 3.37-7.96) for Q2, Q3 and Q4 group, respectively. The interaction analysis showed that age, sex and history of diabetes had interactive roles in the association between WHtR and SO (all P<0.05). The association stably existed across subgroups, and it was more obvious in male patients, those with older age and without a history of diabetes(all P<0.05). Furthermore, the cut-off value of WHtR identifying SO in male patients was 0.49, and the corresponding area under the curve (AUC) was 0.73 (95%CI: 0.70-0.75), with the sensitivity of 72.7% and specificity of 60.3%. In female patients, the cut-off value was 0.51, and the AUC was 0.68 (95%CI: 0.65-0.71), with the sensitivity of 70.1% and specificity of 57.8%. Conclusion: WHtR could be used as a simple index to evaluate the risk of SO in MHD patients with normal BMI.
Collapse
Affiliation(s)
- Q Lan
- Graduate School of Zunyi Medical University, Zunyi 563000, China
| | - M L Tian
- Department of Nephrology, Guizhou Provincial People's Hospital, Key Laboratory of Diagnosis and Treatment of Pulmonary Immune Diseases, National Health Commission, Guiyang 550002, China
| | - J Yuan
- Department of Nephrology, Guizhou Provincial People's Hospital, Key Laboratory of Diagnosis and Treatment of Pulmonary Immune Diseases, National Health Commission, Guiyang 550002, China
| | - X Y Tong
- Department of Nephrology, Guizhou Provincial People's Hospital, Key Laboratory of Diagnosis and Treatment of Pulmonary Immune Diseases, National Health Commission, Guiyang 550002, China
| | - C Z Long
- Department of Nephrology, Guizhou Provincial People's Hospital, Key Laboratory of Diagnosis and Treatment of Pulmonary Immune Diseases, National Health Commission, Guiyang 550002, China
| | - Y Zha
- Department of Nephrology, Guizhou Provincial People's Hospital, Key Laboratory of Diagnosis and Treatment of Pulmonary Immune Diseases, National Health Commission, Guiyang 550002, China
| |
Collapse
|
9
|
Yuan J, Wang Y, Gao J, Zhang X, Xing J. Eicosapentaenoic Acid Alleviates Inflammatory Response and Insulin Resistance in Pregnant Mice With Gestational Diabetes Mellitus. Physiol Res 2024; 73:57-68. [PMID: 38466005 PMCID: PMC11019622 DOI: 10.33549/physiolres.935113] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 04/16/2023] [Accepted: 09/13/2023] [Indexed: 04/26/2024] Open
Abstract
This study investigated the effect of eicosapentaenoic acid (EPA) on insulin resistance in pregnant mice with gestational diabetes mellitus (GDM) and underlying mechanism. C57BL/6 mice fed with a high-fat diet for 4 weeks and the newly gestated were selected and injected with streptozotocin for GDM modeling. We demonstrated that the fasting insulin levels (FINS) and insulin sensitivity index (ISI) in serum and blood glucose level were significantly higher in GDM group than in normal control (NC) group. The low or high dose of EPA intervention reduced these levels, and the effect of high dose intervention was more significant. The area under the curve in GDM group was higher than that of NC group, and then gradually decreased after low or high dose of EPA treatment. The serum levels of TC, TG and LDL were increased in GDM group, while decreased in EPA group. GDM induced down-regulation of HDL level, and the low or high dose of EPA gradually increased this level. The levels of p-AKT2Ser, p-IRS-1Tyr, GLUT4, and ratios of pIRS-1Tyr/IRS-1 and pAKT2Ser/AKT2 in gastrocnemius muscle were reduced in GDM group, while low or high dose of EPA progressively increased these alterations. GDM enhanced TLR4, NF-kappaB p65, IL-1beta, IL-6 and TNF-alpha levels in placental tissues, and these expressions were declined at different dose of EPA, and the decrease was greater at high dose. We concluded that EPA receded the release of inflammatory factors in the placental tissues by inhibiting the activation of TLR4 signaling, thereby alleviating the IR.
Collapse
Affiliation(s)
- J Yuan
- Department of Obstetrics and Gynecology, North China University of Science and Technology Affiliated Hospital, Lubei District, Tangshan, Hebei, People's Republic of China.
| | | | | | | | | |
Collapse
|
10
|
Zhang B, Nie P, Lin Y, Ma Z, Ma G, Wang Y, Ma Y, Zhao J, Zhang J, Yue P, Jiang N, Zhang X, Tian L, Lu L, Yuan J, Meng W. High incidence of gallstones after Roux-en-Y reconstruction gastrectomy in gastric cancer: a multicenter, long-term cohort study. Int J Surg 2024; 110:01279778-990000000-01031. [PMID: 38320088 PMCID: PMC11020035 DOI: 10.1097/js9.0000000000001136] [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: 12/04/2023] [Accepted: 01/24/2024] [Indexed: 02/08/2024]
Abstract
BACKGROUND Roux-en-Y reconstruction is a common anastomosis technique during gastrectomy in gastric cancer. There is a lack of studies on gallstones after Roux-en-Y reconstruction gastrectomy. This study investigated the incidence and potential risk factors associated with gallstones after Roux-en-Y reconstructive gastrectomy in gastric cancer. METHODS The study analyzed data from gastric cancer who underwent radical gastrectomy and Roux-en-Y reconstruction at two hospitals between January 2014 and December 2020. The patients fall into distal and total gastrectomy groups based on the extent of gastrectomy. The cumulative event probability curve was plotted using the Kaplan-Meier, and differences in gallstone between groups were evaluated using the Log-Rank. Propensity score matching (PSM) was applied to construct a balanced total versus distal gastrectomies cohort. A Cox regression was employed to analyze the risk factors for gallstones after Roux-en-Y reconstructive gastrectomy in gastric cancer. Further subgroup analysis was performed. RESULTS 531 patients were included in this study, 201 in the distal gastrectomy group and 330 in the total gastrectomy. During the follow-up, there were 170 cases (32.02%) of developed gallstones, 145 cases of gallstones constituting 85.29% of all gallstones within two years after gastrectomy. Then, to reduce the impact of bias, a 1: 1 propensity score matching analysis was performed on the two groups of patients. A total of 344 patients were evaluated, with each subgroup comprising 172 patients. In the matched population, the Cox regression analysis revealed that females, BMI ≥ 23 kg/m2, total gastrectomy, No.12 lymph node dissection, and adjuvant chemotherapy were risk factors for gallstones after Roux-en-Y reconstructive gastrectomy. Subgroup analysis revealed a significantly higher incidence of gallstones after open total gastrectomy than after open distal gastrectomy. CONCLUSION Significantly higher incidence of gallstones within two years after Roux-en-Y reconstructive gastrectomy for gastric cancer. Patients with these risk factors should be followed closely after gastrectomy to avoid symptomatic gallstones.
Collapse
Affiliation(s)
- Baoping Zhang
- The First Clinical Medical College, Lanzhou University
| | | | - Yanyan Lin
- Department of General Surgery, The First Hospital of Lanzhou University, Lanzhou
| | - Zelong Ma
- The First Clinical Medical College, Lanzhou University
| | | | | | - Yuhu Ma
- Department of Anesthesiology
| | - Jinyu Zhao
- The First Clinical Medical College, Lanzhou University
| | - Jinduo Zhang
- The First Clinical Medical College, Lanzhou University
- Department of General Surgery, The First Hospital of Lanzhou University, Lanzhou
| | - Ping Yue
- Department of General Surgery, The First Hospital of Lanzhou University, Lanzhou
| | - Ningzu Jiang
- The First Clinical Medical College, Lanzhou University
| | | | - Liang Tian
- The First Clinical Medical College, Lanzhou University
| | - Linzhi Lu
- Department of Gastroenterology, Gansu Wuwei Tumor Hospital, Wuwei, Gansu
| | - Jinqiu Yuan
- Clinical Research Center, The Seventh Affiliated Hospital, Sun Yat-sen University, Shenzhen, Guangdong, People’s Republic of China
| | - Wenbo Meng
- The First Clinical Medical College, Lanzhou University
- Department of General Surgery, The First Hospital of Lanzhou University, Lanzhou
| |
Collapse
|
11
|
Li XT, Tu SJ, Chaix L, Fawaz C, d'Astuto M, Li X, Yakhou-Harris F, Kummer K, Brookes NB, Garcia-Fernandez M, Zhou KJ, Lin ZF, Yuan J, Jin K, Dean MPM, Liu X. Evolution of the Magnetic Excitations in Electron-Doped La_{2-x}Ce_{x}CuO_{4}. Phys Rev Lett 2024; 132:056002. [PMID: 38364146 DOI: 10.1103/physrevlett.132.056002] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Track Full Text] [Subscribe] [Scholar Register] [Received: 06/02/2023] [Accepted: 12/12/2023] [Indexed: 02/18/2024]
Abstract
We investigated the high energy spin excitations in electron-doped La_{2-x}Ce_{x}CuO_{4}, a cuprate superconductor, by resonant inelastic x-ray scattering (RIXS) measurements. Efforts were paid to disentangle the paramagnon signal from non-spin-flip spectral weight mixing in the RIXS spectrum at Q_{∥}=(0.6π,0) and (0.9π,0) along the (1 0) direction. Our results show that, for doping level x from 0.07 to 0.185, the variation of the paramagnon excitation energy is marginal. We discuss the implication of our results in connection with the evolution of the electron correlation strength in this system.
Collapse
Affiliation(s)
- X T Li
- School of Physical Science and Technology, ShanghaiTech University, Shanghai 201210, China
| | - S J Tu
- Beijing National Laboratory for Condensed Matter Physics and Institute of Physics, Chinese Academy of Sciences, Beijing 100190, China
| | - L Chaix
- Univ. Grenoble Alpes, CNRS, Grenoble INP, Institut Néel, 38000 Grenoble, France
| | - C Fawaz
- Univ. Grenoble Alpes, CNRS, Grenoble INP, Institut Néel, 38000 Grenoble, France
| | - M d'Astuto
- Univ. Grenoble Alpes, CNRS, Grenoble INP, Institut Néel, 38000 Grenoble, France
| | - X Li
- School of Physical Science and Technology, ShanghaiTech University, Shanghai 201210, China
| | - F Yakhou-Harris
- European Synchrotron Radiation Facility (ESRF), B.P. 220, F-38043 Grenoble Cedex, France
| | - K Kummer
- European Synchrotron Radiation Facility (ESRF), B.P. 220, F-38043 Grenoble Cedex, France
| | - N B Brookes
- European Synchrotron Radiation Facility (ESRF), B.P. 220, F-38043 Grenoble Cedex, France
| | | | - Ke-Jin Zhou
- Diamond Light Source, Harwell Campus, Didcot OX11 0DE, United Kingdom
| | - Z F Lin
- Beijing National Laboratory for Condensed Matter Physics and Institute of Physics, Chinese Academy of Sciences, Beijing 100190, China
| | - J Yuan
- Beijing National Laboratory for Condensed Matter Physics and Institute of Physics, Chinese Academy of Sciences, Beijing 100190, China
| | - K Jin
- Beijing National Laboratory for Condensed Matter Physics and Institute of Physics, Chinese Academy of Sciences, Beijing 100190, China
| | - M P M Dean
- Condensed Matter Physics and Materials Science Department, Brookhaven National Laboratory, Upton, New York 11973, USA
| | - X Liu
- School of Physical Science and Technology, ShanghaiTech University, Shanghai 201210, China
- Center for Transformative Science, ShanghaiTech University, Shanghai 201210, China
| |
Collapse
|
12
|
Zhang S, Wang D, Zhao J, Zhao H, Xie P, Zheng L, Sheng P, Yuan J, Xia B, Wei F, Zhang Z. Metabolic syndrome increases osteoarthritis risk: findings from the UK Biobank prospective cohort study. BMC Public Health 2024; 24:233. [PMID: 38243159 PMCID: PMC10799367 DOI: 10.1186/s12889-024-17682-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] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 09/07/2023] [Accepted: 01/05/2024] [Indexed: 01/21/2024] Open
Abstract
OBJECTIVE The association between Metabolic Syndrome (MetS), its components, and the risk of osteoarthritis (OA) has been a topic of conflicting evidence in different studies. The aim of this present study is to investigate the association between MetS, its components, and the risk of OA using data from the UK Biobank. METHODS A prospective cohort study was conducted in the UK Biobank to assess the risk of osteoarthritis (OA) related to MetS. MetS was defined according to the criteria set by the International Diabetes Federation (IDF). Additionally, lifestyle factors, medications, and the inflammatory marker C-reactive protein (CRP) were included in the model. Cox proportional hazards regression was used to calculate hazard ratios (HR) and 95% confidence intervals (CI). The cumulative risk of OA was analyzed using Kaplan-Meier curves and log-rank tests. To explore potential nonlinear associations between MetS components and OA risk, a restricted cubic splines (RCS) model was employed. In addition, the polygenic risk score (PRS) of OA was calculated to characterize individual genetic risk. RESULTS A total of 45,581 cases of OA were identified among 370,311 participants, with a median follow-up time of 12.48 years. The study found that individuals with MetS had a 15% higher risk of developing OA (HR = 1.15, 95%CI:1.12-1.19). Additionally, central obesity was associated with a 58% increased risk of OA (HR = 1.58, 95%CI:1.5-1.66), while hyperglycemia was linked to a 13% higher risk (HR = 1.13, 95%CI:1.1-1.15). Dyslipidemia, specifically in triglycerides (HR = 1.07, 95%CI:1.05-1.09) and high-density lipoprotein (HR = 1.05, 95%CI:1.02-1.07), was also found to be slightly associated with OA risk. When stratified by PRS, those in the high PRS group had a significantly higher risk of OA compared to those with a low PRS, whereas no interaction was found between MetS and PRS on OA risks. Furthermore, the presence of MetS significantly increased the risk of OA by up to 35% in individuals with elevated CRP levels (HR = 1.35, 95% CI:1.3-1.4). CONCLUSION MetS and its components have been found to be associated with an increased risk of OA, particularly in individuals with elevated levels of CRP. These findings highlight the significance of managing MetS as a preventive and intervention measure for OA.
Collapse
Affiliation(s)
- Shiyong Zhang
- Department of Joint Surgery, the First Affiliated Hospital, Sun Yat-Sen University, Guangzhou, 510080, Guangdong, China
| | - Danni Wang
- Department of Epidemiology and Biostatistics, Clinical Big Data Research Center, The Seventh Affiliated Hospital, Sun Yat-Sen University, Shenzhen, 518000, Guangdong, China
- Chinese Health RIsk MAnagement Collaboration (CHRIMAC), Shenzhen, 518000, Guangdong, China
| | - Jinyu Zhao
- Department of General Surgery, The First Hospital of Lanzhou University, Lanzhou, 730000, Gansu, China
| | - Haitong Zhao
- Evidence Based Social Science Research Center, School of Public Health, Lanzhou University, Lanzhou, 730000, Gansu, China
| | - Peng Xie
- Digestive Diseases Center, The Seventh Affiliated Hospital,, Sun Yat-Sen University, Shenzhen, 518107, Guangdong, China
- Guangdong Provincial Key Laboratory of Digestive Cancer Research, The Seventh Affiliated Hospital of Sun Yat-Sen University, No. 628 Zhenyuan Road, Shenzhen, 518107, Guangdong, China
| | - Linli Zheng
- Department of Joint Surgery, the First Affiliated Hospital, Sun Yat-Sen University, Guangzhou, 510080, Guangdong, China
| | - Puyi Sheng
- Department of Joint Surgery, the First Affiliated Hospital, Sun Yat-Sen University, Guangzhou, 510080, Guangdong, China
| | - Jinqiu Yuan
- Department of Epidemiology and Biostatistics, Clinical Big Data Research Center, The Seventh Affiliated Hospital, Sun Yat-Sen University, Shenzhen, 518000, Guangdong, China
- Chinese Health RIsk MAnagement Collaboration (CHRIMAC), Shenzhen, 518000, Guangdong, China
- Guangdong Provincial Key Laboratory of Gastroenterology, Center for Digestive Disease, The Seventh Affiliated Hospital, Sun Yat-Sen University, Shenzhen, 518000, Guangdong, China
| | - Bin Xia
- Department of Epidemiology and Biostatistics, Clinical Big Data Research Center, The Seventh Affiliated Hospital, Sun Yat-Sen University, Shenzhen, 518000, Guangdong, China.
- Chinese Health RIsk MAnagement Collaboration (CHRIMAC), Shenzhen, 518000, Guangdong, China.
| | - Fuxin Wei
- Department of Orthopedics, the Seventh Affiliated Hospital, Sun Yat-Sen University, Shenzhen, 518000, Guangdong, China.
| | - Ziji Zhang
- Department of Joint Surgery, the First Affiliated Hospital, Sun Yat-Sen University, Guangzhou, 510080, Guangdong, China.
| |
Collapse
|
13
|
Tian L, Mi N, Wang L, Huang C, Fu W, Bai M, Gao L, Ma H, Zhang C, Lu Y, Zhao J, Zhang X, Jiang N, Lin Y, Yue P, Xia B, He Q, Yuan J, Meng W. Regular use of paracetamol and risk of liver cancer: a prospective cohort study. BMC Cancer 2024; 24:33. [PMID: 38178090 PMCID: PMC10765829 DOI: 10.1186/s12885-023-11767-5] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 10/05/2023] [Accepted: 12/15/2023] [Indexed: 01/06/2024] Open
Abstract
BACKGROUND Paracetamol induces hepatotoxicity and subsequent liver injury, which may increase the risk of liver cancer, but epidemiological evidence remains unclear. We conducted this study to evaluate the association between paracetamol use and the risk of liver cancer. METHODS This prospective study included 464,244 participants free of cancer diagnosis from the UK Biobank. Incident liver cancer was identified through linkage to cancer and death registries and the National Health Service Central Register using the International Classification of Diseases (ICD)-10 codes (C22). An overlap-weighted Cox proportional hazards model was utilized to calculate the hazard ratio (HR) and 95% confidence interval (CI) for the risk of liver cancer associated with paracetamol use. The number needed to harm (NNH) was calculated at 10 years of follow-up. RESULTS During a median of 12.6 years of follow-up, 627 cases of liver cancer were identified. Paracetamol users had a 28% higher risk of liver cancer than nonusers (HR 1.28, 95% CI 1.06-1.54). This association was robust in several sensitivity analyses and subgroup analyses, and the quantitative bias analysis indicated that the result remains sturdy to unmeasured confounding factors (E-value 1.88, lower 95% CI 1.31). The NNH was 1106.4 at the 10 years of follow-up. CONCLUSION The regular use of paracetamol was associated with a higher risk of liver cancer. Physicians should be cautious when prescribing paracetamol, and it is recommended to assess the potential risk of liver cancer to personalize the use of paracetamol.
Collapse
Affiliation(s)
- Liang Tian
- The First Clinical Medical College, Lanzhou University, Lanzhou, Gansu, China
- Department of General Surgery, The First Hospital of Lanzhou University, Lanzhou, Gansu, 730000, China
| | - Ningning Mi
- The First Clinical Medical College, Lanzhou University, Lanzhou, Gansu, China
- Department of General Surgery, The First Hospital of Lanzhou University, Lanzhou, Gansu, 730000, China
| | - Leiqing Wang
- The First Clinical Medical College, Lanzhou University, Lanzhou, Gansu, China
- Department of General Surgery, The First Hospital of Lanzhou University, Lanzhou, Gansu, 730000, China
| | - Chongfei Huang
- The First Clinical Medical College, Lanzhou University, Lanzhou, Gansu, China
- Department of General Surgery, The First Hospital of Lanzhou University, Lanzhou, Gansu, 730000, China
| | - Wenkang Fu
- The First Clinical Medical College, Lanzhou University, Lanzhou, Gansu, China
- Department of General Surgery, The First Hospital of Lanzhou University, Lanzhou, Gansu, 730000, China
| | - Mingzhen Bai
- The First Clinical Medical College, Lanzhou University, Lanzhou, Gansu, China
- Department of General Surgery, The First Hospital of Lanzhou University, Lanzhou, Gansu, 730000, China
| | - Long Gao
- The First Clinical Medical College, Lanzhou University, Lanzhou, Gansu, China
- Department of General Surgery, The First Hospital of Lanzhou University, Lanzhou, Gansu, 730000, China
| | - Haidong Ma
- The First Clinical Medical College, Lanzhou University, Lanzhou, Gansu, China
- Department of General Surgery, The First Hospital of Lanzhou University, Lanzhou, Gansu, 730000, China
| | - Chao Zhang
- The First Clinical Medical College, Lanzhou University, Lanzhou, Gansu, China
- Department of General Surgery, The First Hospital of Lanzhou University, Lanzhou, Gansu, 730000, China
| | - Yawen Lu
- The First Clinical Medical College, Lanzhou University, Lanzhou, Gansu, China
- Department of General Surgery, The First Hospital of Lanzhou University, Lanzhou, Gansu, 730000, China
| | - Jinyu Zhao
- The First Clinical Medical College, Lanzhou University, Lanzhou, Gansu, China
- Department of General Surgery, The First Hospital of Lanzhou University, Lanzhou, Gansu, 730000, China
| | - Xianzhuo Zhang
- The First Clinical Medical College, Lanzhou University, Lanzhou, Gansu, China
- Department of General Surgery, The First Hospital of Lanzhou University, Lanzhou, Gansu, 730000, China
| | - Ningzu Jiang
- The First Clinical Medical College, Lanzhou University, Lanzhou, Gansu, China
- Department of General Surgery, The First Hospital of Lanzhou University, Lanzhou, Gansu, 730000, China
| | - Yanyan Lin
- The First Clinical Medical College, Lanzhou University, Lanzhou, Gansu, China
- Department of General Surgery, The First Hospital of Lanzhou University, Lanzhou, Gansu, 730000, China
| | - Ping Yue
- The First Clinical Medical College, Lanzhou University, Lanzhou, Gansu, China
- Department of General Surgery, The First Hospital of Lanzhou University, Lanzhou, Gansu, 730000, China
| | - Bin Xia
- Clinical Research Center, Big Data Center, The Seventh Affiliated Hospital, Sun Yat-Sen University, Shenzhen, Guangdong, 518107, China
| | - Qiangsheng He
- Clinical Research Center, Big Data Center, The Seventh Affiliated Hospital, Sun Yat-Sen University, Shenzhen, Guangdong, 518107, China.
| | - Jinqiu Yuan
- Clinical Research Center, Big Data Center, The Seventh Affiliated Hospital, Sun Yat-Sen University, Shenzhen, Guangdong, 518107, China.
| | - Wenbo Meng
- The First Clinical Medical College, Lanzhou University, Lanzhou, Gansu, China.
- Department of General Surgery, The First Hospital of Lanzhou University, Lanzhou, Gansu, 730000, China.
| |
Collapse
|
14
|
Zhao J, Tian L, Xia B, Mi N, He Q, Yang M, Wang D, Wu S, Li Z, Zhang S, Zhang X, Yue P, Lin Y, Zhao H, Zhang B, Ma Z, Jiang N, Li M, Yuan J, Nie P, Lu L, Meng W. Cholecystectomy is associated with a higher risk of irritable bowel syndrome in the UK Biobank: a prospective cohort study. Front Pharmacol 2023; 14:1244563. [PMID: 38143491 PMCID: PMC10749201 DOI: 10.3389/fphar.2023.1244563] [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: 06/22/2023] [Accepted: 11/28/2023] [Indexed: 12/26/2023] Open
Abstract
Background: Recent studies have shown that bile acids are essential in irritable bowel syndrome (IBS) pathology, and cholecystectomy has direct effects on bile acid metabolism. However, whether cholecystectomy increases the risk of IBS remains unclear. We aimed to investigate the association between cholecystectomy and IBS risk in the UK Biobank (UKB). Methods: This study is a prospective analysis of 413,472 participants who were free of IBS, inflammatory bowel disease, cancer, or common benign digestive tract diseases. We identified incidents of IBS through self-reporting or links to primary healthcare and hospitalization data. We evaluated hazard ratios (HRs) adjusted for sociodemographic characteristics, health behaviours, comorbidities, and medications. Results: During a median follow-up period of 12.7 years, we observed 15,503 new cases of IBS. Participants with a history of cholecystectomy had a 46% higher risk of IBS than those without (HR = 1.46, 95% CI: 1.32-1.60), and further subtype analysis showed that the risk of IBS with diarrhoea was significantly higher than the risk of IBS without diarrhoea (HR = 1.71, 95% CI: 1.30-2.25 vs. HR = 1.42, 95% CI: 1.28-1.58). The overall covariate-adjusted HRs for IBS were similar between the group with both cholecystectomy and gallstones (HR = 1.45, 95% CI: 1.32-1.58) and the group with cholecystectomy without gallstones (HR = 1.50, 95% CI: 1.36-1.67) when the group without both cholecystectomy and gallstones was used as a reference. The overall covariate-adjusted HR was not significantly different in the group without cholecystectomy with gallstones (HR = 1.18, 95% CI: 0.95-1.47). The positive association of cholecystectomy with IBS risk did not change when stratifying the data based on age, sex, BMI, smoking, alcohol consumption, healthy diet, quality sleep, physical activity, type 2 diabetes, hypertension, hyperlipidaemia, mental illness, NSAID intake, or acid inhibitor intake. Sensitivity analyses, including propensity score matching analysis and lagging the exposure for two or four years, indicated that the effects were robust. Conclusion: Cholecystectomy was associated with a higher risk of IBS, especially IBS with diarrhoea. Additional prospective randomized controlled and experimental studies are warranted to further validate the association and to explore the relevant biological mechanisms.
Collapse
Affiliation(s)
- Jinyu Zhao
- The First Clinical Medical School, Lanzhou University, Lanzhou, Gansu, China
- Department of General Surgery, The First Hospital of Lanzhou University, Lanzhou, Gansu, China
| | - Liang Tian
- The First Clinical Medical School, Lanzhou University, Lanzhou, Gansu, China
- Department of General Surgery, The First Hospital of Lanzhou University, Lanzhou, Gansu, China
| | - Bin Xia
- Scientific Research Center, Big Data Center, The Seventh Affiliated Hospital, Sun Yat-Sen University, Shenzhen, Guangdong, China
- Clinical Research Center, The Seventh Affiliated Hospital, Sun Yat-Sen University, Shenzhen, Guangdong, China
- Guangdong Provincial Key Laboratory of Gastroenterology, Center for Digestive Disease, The Seventh Affiliated Hospital, Sun Yat-Sen University, Shenzhen, Guangdong, China
| | - Ningning Mi
- The First Clinical Medical School, Lanzhou University, Lanzhou, Gansu, China
- Department of General Surgery, The First Hospital of Lanzhou University, Lanzhou, Gansu, China
| | - Qiangsheng He
- Scientific Research Center, Big Data Center, The Seventh Affiliated Hospital, Sun Yat-Sen University, Shenzhen, Guangdong, China
- Clinical Research Center, The Seventh Affiliated Hospital, Sun Yat-Sen University, Shenzhen, Guangdong, China
- Guangdong Provincial Key Laboratory of Gastroenterology, Center for Digestive Disease, The Seventh Affiliated Hospital, Sun Yat-Sen University, Shenzhen, Guangdong, China
| | - Man Yang
- Guangdong Provincial Key Laboratory of Gastroenterology, Center for Digestive Disease, The Seventh Affiliated Hospital, Sun Yat-Sen University, Shenzhen, Guangdong, China
| | - Danni Wang
- Scientific Research Center, Big Data Center, The Seventh Affiliated Hospital, Sun Yat-Sen University, Shenzhen, Guangdong, China
| | - Siqing Wu
- School of Medicine, Shenzhen Campus of Sun Yat-Sen University, Shenzhen, China
| | - Zijun Li
- Evidence Based Social Science Research Center, School of Public Health, Lanzhou University, Lanzhou, China
| | - Shiyong Zhang
- Department of Joint Surgery, The First Affiliated Hospital, Sun Yat-Sen University, Guangzhou, Guangdong, China
| | - Xianzhuo Zhang
- The First Clinical Medical School, Lanzhou University, Lanzhou, Gansu, China
- Department of General Surgery, The First Hospital of Lanzhou University, Lanzhou, Gansu, China
| | - Ping Yue
- Department of General Surgery, The First Hospital of Lanzhou University, Lanzhou, Gansu, China
| | - Yanyan Lin
- Department of General Surgery, The First Hospital of Lanzhou University, Lanzhou, Gansu, China
| | - Haitong Zhao
- Evidence Based Social Science Research Center, School of Public Health, Lanzhou University, Lanzhou, China
| | - Baoping Zhang
- The First Clinical Medical School, Lanzhou University, Lanzhou, Gansu, China
- Department of General Surgery, The First Hospital of Lanzhou University, Lanzhou, Gansu, China
| | - Zelong Ma
- The First Clinical Medical School, Lanzhou University, Lanzhou, Gansu, China
- Department of General Surgery, The First Hospital of Lanzhou University, Lanzhou, Gansu, China
| | - Ningzu Jiang
- The First Clinical Medical School, Lanzhou University, Lanzhou, Gansu, China
- Department of General Surgery, The First Hospital of Lanzhou University, Lanzhou, Gansu, China
| | - Matu Li
- The First Clinical Medical School, Lanzhou University, Lanzhou, Gansu, China
- Department of Gastroenterology, The First Hospital of Lanzhou University, Lanzhou, Gansu, China
| | - Jinqiu Yuan
- Scientific Research Center, Big Data Center, The Seventh Affiliated Hospital, Sun Yat-Sen University, Shenzhen, Guangdong, China
- Clinical Research Center, The Seventh Affiliated Hospital, Sun Yat-Sen University, Shenzhen, Guangdong, China
- Guangdong Provincial Key Laboratory of Gastroenterology, Center for Digestive Disease, The Seventh Affiliated Hospital, Sun Yat-Sen University, Shenzhen, Guangdong, China
| | - Peng Nie
- Department of Gastric Surgery, Gansu Wuwei Tumour Hospital, Wuwei Academy of Medical Science, Wuwei, Gansu, China
| | - Linzhi Lu
- Wuwei Oncology Hospital, Wuwei, Gansu, China
| | - Wenbo Meng
- The First Clinical Medical School, Lanzhou University, Lanzhou, Gansu, China
- Department of General Surgery, The First Hospital of Lanzhou University, Lanzhou, Gansu, China
| |
Collapse
|
15
|
Hu L, Wu S, Shu Y, Su K, Wang C, Wang D, He Q, Chen X, Li W, Mi N, Xie P, Zhao J, Zhang S, Yuan J, Xiang J, Xia B. Impact of Maternal Smoking, Offspring Smoking, and Genetic Susceptibility on Crohn's Disease and Ulcerative Colitis. J Crohns Colitis 2023:jjad200. [PMID: 38038665 DOI: 10.1093/ecco-jcc/jjad200] [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: 06/21/2023] [Indexed: 12/02/2023]
Abstract
BACKGROUND AND AIMS The long-term impact of maternal smoking during pregnancy (MSDP) on adult offspring's risk of Crohn's disease (CD) and ulcerative colitis (UC) remains uncertain. Our study aims to investigate the individual and combined effects of early life exposure (MSDP), offspring personal behavior (smoking), and genetic risk on the development of CD and UC in adult offspring. METHODS We conducted a prospective cohort study using UK Biobank data, including 334,083 participants recruited between 2006-2010, with follow-up until December 31, 2021. Multivariable Cox regression models were used to evaluate the associations of genetic factors, maternal and personal smoking, and their combination with CD and UC. RESULTS Participants exposed to MSDP had an 18% increased risk of CD compared to those without MSDP (hazard ratio (HR) = 1.18, 95% confidence interval (CI) = 1.01-1.39). However, no significant association was found between MSDP and the UC risk (HR = 1.03, 95%CI = 0.92-1.16). Personal smoking increased the risk of CD and UC, and had a numerically amplified effect with MSDP. Participants with high genetic risk and MSDP had a 2.01-fold (95%CI = 1.53-2.65) and a 2.45-fold (95%CI = 2.00-2.99) increased risk of CD and UC, respectively, compared to participants without MSDP and with low genetic risk. CONCLUSIONS Our prospective cohort study provides evidence that MSDP increases the risk of CD in adult offspring, whereas no evidence supports their causal association. Additionally, smoking and genetic susceptibility had a numerically amplified effect with MSDP on CD and UC, but the interaction lacked statistical significance.
Collapse
Affiliation(s)
- Linmin Hu
- School of Public Health (Shenzhen), Sun Yat-sen University, Shenzhen 518107, China
| | - Siqing Wu
- School of Medicine, Shenzhen Campus of Sun Yat-sen University, Shenzhen 518107, China
| | - Yuelong Shu
- School of Public Health (Shenzhen), Sun Yat-sen University, Shenzhen 518107, China
- Institute of Pathogen Biology, Chinese Academy of Medical Sciences &Pekina Union Medical School, Beijing, China
| | - Kai Su
- School of Public Health (Shenzhen), Sun Yat-sen University, Shenzhen 518107, China
| | - Chunliang Wang
- School of Public Health (Shenzhen), Sun Yat-sen University, Shenzhen 518107, China
| | - Danni Wang
- Clinical Research Center, The Seventh Affiliated Hospital, Sun Yat-sen University, Shenzhen, Guangdong, 518107, China; Big Data Center, The Seventh Affiliated Hospital, Sun Yat-sen University, Shenzhen, Guangdong, 518107, China
| | - Qiangsheng He
- Clinical Research Center, The Seventh Affiliated Hospital, Sun Yat-sen University, Shenzhen, Guangdong, 518107, China; Big Data Center, The Seventh Affiliated Hospital, Sun Yat-sen University, Shenzhen, Guangdong, 518107, China
- Chinese Health Risk Management Collaboration (CHRIMAC), Shenzhen, Guangdong, 518107, China
| | - Xinyu Chen
- Department of Medical Ultrasonics, The Seventh Affiliated Hospital of Sun Yat-sen University, No.628, Zhenyuan Road, Xinhu Street, Guangming District Shenzhen, 518107 PR China
| | - Wenjing Li
- Clinical Research Center, The Seventh Affiliated Hospital, Sun Yat-sen University, Shenzhen, Guangdong, 518107, China; Big Data Center, The Seventh Affiliated Hospital, Sun Yat-sen University, Shenzhen, Guangdong, 518107, China
| | - Ningning Mi
- The First School of Clinical Medicine, Lanzhou University, Lanzhou, Gansu, China
| | - Peng Xie
- Center for Digestive Disease, The Seventh Affiliated Hospital, Sun Yat-sen University, Shenzhen, Guangdong, 518107, China
| | - Jinyu Zhao
- The First School of Clinical Medicine, Lanzhou University, Lanzhou, Gansu, China
| | - Shiyong Zhang
- Department of Joint Surgery, the First Affiliated Hospital, Sun Yat-sen University, Guangzhou, Guangdong 510080 China
| | - Jinqiu Yuan
- Clinical Research Center, The Seventh Affiliated Hospital, Sun Yat-sen University, Shenzhen, Guangdong, 518107, China; Big Data Center, The Seventh Affiliated Hospital, Sun Yat-sen University, Shenzhen, Guangdong, 518107, China
- Chinese Health Risk Management Collaboration (CHRIMAC), Shenzhen, Guangdong, 518107, China
- Center for Digestive Disease, The Seventh Affiliated Hospital, Sun Yat-sen University, Shenzhen, Guangdong, 518107, China
| | - Jianbang Xiang
- School of Public Health (Shenzhen), Sun Yat-sen University, Shenzhen 518107, China
| | - Bin Xia
- Clinical Research Center, The Seventh Affiliated Hospital, Sun Yat-sen University, Shenzhen, Guangdong, 518107, China; Big Data Center, The Seventh Affiliated Hospital, Sun Yat-sen University, Shenzhen, Guangdong, 518107, China
- Chinese Health Risk Management Collaboration (CHRIMAC), Shenzhen, Guangdong, 518107, China
| |
Collapse
|
16
|
Ding M, Zhang X, Wang J, Gao F, Zheng X, Yuan J, Qi X. Treatment and outcomes of immune checkpoint inhibitors-associated colitis/diarrhea: A systematic review and meta-analysis. Dig Liver Dis 2023; 55:1621-1631. [PMID: 36894390 DOI: 10.1016/j.dld.2023.02.016] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 01/10/2023] [Revised: 02/15/2023] [Accepted: 02/20/2023] [Indexed: 03/11/2023]
Abstract
BACKGROUND Immune checkpoint inhibitors (ICIs) have improved the outcomes of cancer patients. However, ICIs often lead to colitis/diarrhea. This study aimed to assess the treatment of ICIs-associated colitis/diarrhea and outcomes. METHODS PubMed, EMBASE, and Cochrane Library databases were searched for eligible studies which investigated the treatment and outcomes of colitis/diarrhea developing in patients who received ICIs. The pooled incidences of any-grade colitis/diarrhea, low-grade colitis, high-grade colitis, low-grade diarrhea, and high-grade diarrhea as well as the pooled rates of response to treatment, mortality, and ICIs permanent discontinuation and restarts in patients with ICIs-associated colitis/diarrhea were estimated using a random-effects model. RESULTS Among the 11,492 papers initially identified, 27 studies were included. The pooled incidences of any-grade colitis/diarrhea, low-grade colitis, high-grade colitis, low-grade diarrhea, and high-grade diarrhea were 17%, 3%, 17%, 13%, and 15%, respectively. The pooled rates of overall response, response to corticosteroid therapy, and response to biological agents were 88%, 50%, and 96%, respectively. The pooled short-term mortality in patients with ICIs-associated colitis/diarrhea was 2%. The pooled incidences of ICIs permanent discontinuation and restarts were 43% and 33%, respectively. CONCLUSION ICIs-associated colitis/diarrhea is common, but rarely lethal. Half of them are responsive to corticosteroid therapy. There is a fairly high rate of response to biological agents in steroid-refractory colitis/diarrhea patients.
Collapse
Affiliation(s)
- Min Ding
- Meta-Analysis Interest Group, Department of Gastroenterology, The General Hospital of Northern Theater Command (formerly General Hospital of Shenyang Military Area), Shenyang, China; Postgraduate College, China Medical University, Shenyang, China
| | - Xianxian Zhang
- Meta-Analysis Interest Group, Department of Gastroenterology, The General Hospital of Northern Theater Command (formerly General Hospital of Shenyang Military Area), Shenyang, China; Department of Life Sciences and Biopharmaceutics, Shenyang Pharmaceutical University, Shenyang, China
| | - Jing Wang
- Meta-Analysis Interest Group, Department of Gastroenterology, The General Hospital of Northern Theater Command (formerly General Hospital of Shenyang Military Area), Shenyang, China; Department of Gastroenterology, The 960th Hospital of the PLA, Jinan, China
| | - Fangbo Gao
- Meta-Analysis Interest Group, Department of Gastroenterology, The General Hospital of Northern Theater Command (formerly General Hospital of Shenyang Military Area), Shenyang, China; Department of Life Sciences and Biopharmaceutics, Shenyang Pharmaceutical University, Shenyang, China
| | - Xiaojie Zheng
- Meta-Analysis Interest Group, Department of Gastroenterology, The General Hospital of Northern Theater Command (formerly General Hospital of Shenyang Military Area), Shenyang, China; Postgraduate College, China Medical University, Shenyang, China
| | - Jinqiu Yuan
- Clinical Research Center, The Seventh Affiliated Hospital, Sun Yat-sen University, Shenzhen, China
| | - Xingshun Qi
- Meta-Analysis Interest Group, Department of Gastroenterology, The General Hospital of Northern Theater Command (formerly General Hospital of Shenyang Military Area), Shenyang, China; Postgraduate College, China Medical University, Shenyang, China; Department of Life Sciences and Biopharmaceutics, Shenyang Pharmaceutical University, Shenyang, China.
| |
Collapse
|
17
|
Kawahara D, Jensen A, Yuan J, Nagata Y, Watanabe Y. Predicting the BRAF mutation with pretreatment MRI radiomics features for melanoma brain metastases receiving Gamma Knife radiosurgery. Clin Radiol 2023; 78:e934-e940. [PMID: 37690975 DOI: 10.1016/j.crad.2023.08.012] [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: 01/19/2023] [Revised: 08/17/2023] [Accepted: 08/20/2023] [Indexed: 09/12/2023]
Abstract
AIM To develop a model using radiomics features extracted from magnetic resonance imaging (MRI) images of Gamma Knife radiosurgery (GKRS) to predict the BRAF mutation in patients with melanoma brain metastases (MBM). MATERIALS AND METHODS Data of 220 tumours were classified into two groups. One was a group whose BRAF mutation was identified, and the other group whose BRAF mutation was not identified. We extracted 1,962 radiomics features from gadolinium contrast-enhanced T1-weighted MRI treatment-planning images. Synthetic Minority Over-sampling TEchnique (SMOTE) was performed to address the unbalanced data-related issues. A single-layer neural network (NN) was used to build predictive models with radiomics features. The sensitivity, specificity, accuracy, and the area under the curve (AUC) were evaluated to assess the model performance. RESULTS The prediction performance for the final evaluation without the SMOTE had an accuracy of 77.14%, a specificity of 82.44%, a sensitivity of 81.85%, and an AUC of 0.79. The application of SMOTE improved the prediction model to an accuracy of 83.1%, a specificity of 87.07%, a sensitivity of 78.82%, and an AUC of 0.82. CONCLUSION The current study showed the feasibility of generating a highly accurate NN model for the BRAF mutation prediction. The prediction performance improved with SMOTE. The model assists physicians to obtain more accurate expectations of the treatment outcome without a genetic test.
Collapse
Affiliation(s)
- D Kawahara
- Department of Radiation Oncology, Institute of Biomedical & Health Sciences, Hiroshima University, Hiroshima, Japan.
| | | | - J Yuan
- Department of Radiation Oncology, University of Minnesota-Twin Cities, Minneapolis, MN, USA
| | - Y Nagata
- Department of Radiation Oncology, Institute of Biomedical & Health Sciences, Hiroshima University, Hiroshima, Japan
| | - Y Watanabe
- Department of Radiation Oncology, University of Minnesota-Twin Cities, Minneapolis, MN, USA
| |
Collapse
|
18
|
Zhang X, Luo X, Tian L, Yue P, Li M, Liu K, Zhu D, Huang C, Shi Q, Yang L, Xia Z, Zhao J, Ma Z, Li J, Leung JW, Lin Y, Yuan J, Meng W, Li X, Chen Y. The gut microbiome dysbiosis and regulation by fecal microbiota transplantation: umbrella review. Front Microbiol 2023; 14:1286429. [PMID: 38029189 PMCID: PMC10655098 DOI: 10.3389/fmicb.2023.1286429] [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: 08/31/2023] [Accepted: 10/18/2023] [Indexed: 12/01/2023] Open
Abstract
Background Gut microbiome dysbiosis has been implicated in various gastrointestinal and extra-gastrointestinal diseases, but evidence on the efficacy and safety of fecal microbiota transplantation (FMT) for therapeutic indications remains unclear. Methods The gutMDisorder database was used to summarize the associations between gut microbiome dysbiosis and diseases. We performed an umbrella review of published meta-analyses to determine the evidence synthesis on the efficacy and safety of FMT in treating various diseases. Our study was registered in PROSPERO (CRD42022301226). Results Gut microbiome dysbiosis was associated with 117 gastrointestinal and extra-gastrointestinal. Colorectal cancer was associated with 92 dysbiosis. Dysbiosis involving Firmicutes (phylum) was associated with 34 diseases. We identified 62 published meta-analyses of FMT. FMT was found to be effective for 13 diseases, with a 95.56% cure rate (95% CI: 93.88-97.05%) for recurrent Chloridoids difficile infection (rCDI). Evidence was high quality for rCDI and moderate to high quality for ulcerative colitis and Crohn's disease but low to very low quality for other diseases. Conclusion Gut microbiome dysbiosis may be implicated in numerous diseases. Substantial evidence suggests FMT improves clinical outcomes for certain indications, but evidence quality varies greatly depending on the specific indication, route of administration, frequency of instillation, fecal preparation, and donor type. This variability should inform clinical, policy, and implementation decisions regarding FMT.
Collapse
Affiliation(s)
- Xianzhuo Zhang
- The First School of Clinical Medicine, Lanzhou University, Lanzhou, China
| | - Xufei Luo
- Evidence-Based Medicine Center, School of Basic Medical Sciences, Lanzhou University, Lanzhou, China
| | - Liang Tian
- The First School of Clinical Medicine, Lanzhou University, Lanzhou, China
| | - Ping Yue
- Department of General Surgery, The First Hospital of Lanzhou University, Lanzhou, China
| | - Mengyao Li
- The Second Clinical Medical College, Lanzhou University, Lanzhou, China
| | - Kefeng Liu
- Department of Pharmacy, First Affiliated Hospital of Zhengzhou University, Zhengzhou, China
| | - Daoming Zhu
- Department of Radiology, The Central Hospital of Enshi Tujia and Miao Autonomous Prefecture, Enshi, China
| | - Chongfei Huang
- The First School of Clinical Medicine, Lanzhou University, Lanzhou, China
| | - Qianling Shi
- The First School of Clinical Medicine, Lanzhou University, Lanzhou, China
| | - Liping Yang
- Department of General Surgery, The First Hospital of Lanzhou University, Lanzhou, China
| | - Zhili Xia
- The First School of Clinical Medicine, Lanzhou University, Lanzhou, China
| | - Jinyu Zhao
- The First School of Clinical Medicine, Lanzhou University, Lanzhou, China
| | - Zelong Ma
- The First School of Clinical Medicine, Lanzhou University, Lanzhou, China
| | - Jianlong Li
- The First School of Clinical Medicine, Lanzhou University, Lanzhou, China
| | - Joseph W. Leung
- Division of Gastroenterology and Hepatology, UC Davis Medical Center and Sacramento VA Medical Center, Sacramento, CA, United States
| | - Yanyan Lin
- Department of General Surgery, The First Hospital of Lanzhou University, Lanzhou, China
| | - Jinqiu Yuan
- Clinical Research Center, Big Data Center, The Seventh Affiliated Hospital, Sun Yat-sen University, Shenzhen, China
| | - Wenbo Meng
- Department of General Surgery, The First Hospital of Lanzhou University, Lanzhou, China
| | - Xun Li
- Department of General Surgery, The First Hospital of Lanzhou University, Lanzhou, China
| | - Yaolong Chen
- Evidence-Based Medicine Center, School of Basic Medical Sciences, Lanzhou University, Lanzhou, China
- Research Unit of Evidence-Based Evaluation and Guidelines, Chinese Academy of Medical Sciences, School of Basic Medical Sciences, Lanzhou University, Lanzhou, China
- Institute of Health Data Science, Lanzhou University, Lanzhou, China
- WHO Collaborating Centre for Guideline Implementation and Knowledge Translation, Lanzhou, China
| |
Collapse
|
19
|
Fu J, Chai C, Chen L, Cai M, Ai B, Li H, Yuan J, Lin H, Zhang Z. Associations of Fish and Fish Oil Consumption With Incident Inflammatory Bowel Disease: A Population-Based Prospective Cohort Study. Inflamm Bowel Dis 2023:izad262. [PMID: 37889850 DOI: 10.1093/ibd/izad262] [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] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 11/28/2022] [Indexed: 10/29/2023]
Abstract
BACKGROUND We examined the associations of fish and fish oil consumption with inflammatory bowel disease (IBD) incidence. PATIENTS AND METHODS We conducted a longitudinal analysis based on the UK Biobank, a population-based prospective cohort. Dietary consumption of fish and fish oil was collected by questionnaire. IBD incident cases were identified through links to National Health Services datasets. Cox proportional hazards regression models were used to assess the associations between oily fish, nonoily fish, and fish oil intake and IBD incidence with adjustment for various confounding factors. RESULTS A total of 265 839 participants free of IBD at baseline were included, and 1554 incident IBD cases were identified during an average follow-up of 11.8 years. In fully adjusted models, we found that compared with participants who never ate oily fish, those having <1 serving/wk, 1 serving/wk, and >1 serving/wk had 9% (hazard ratio [HR], 0.91; 95% confidence interval [CI], 0.77-1.08), 19% (HR, 0.81; 95% CI, 0.69-0.96), and 12% (HR, 0.88; 95% CI, 0.73-1.06) lower risks of IBD, respectively, albeit not all statistically significant. A significant association was found between fish oil intake and a reduced risk of IBD (HR, 0.84; 95% CI, 0.75-0.93). We found no significant associations for nonoily fish. In a subsample (n = 105 714) of participants with multiple subsequent dietary reviews, we also found a negative association between the frequency of fish oil intake over time and incident IBD (P trend < .05). CONCLUSIONS Our findings indicate that oily fish and fish oil supplements might be protective factors against IBD.
Collapse
Affiliation(s)
- Jiaying Fu
- Department of Epidemiology, School of Public Health, Sun Yat-sen University, Guangzhou, China
| | - Chengwei Chai
- Department of Pediatric Surgery, Guangzhou Women and Children's Medical Center, Guangzhou Medical University, Guangzhou, China
| | - Lan Chen
- Department of Epidemiology, School of Public Health, Sun Yat-sen University, Guangzhou, China
| | - Miao Cai
- Department of Epidemiology, School of Public Health, Sun Yat-sen University, Guangzhou, China
| | - Baozhuo Ai
- Department of Epidemiology, School of Public Health, Sun Yat-sen University, Guangzhou, China
| | - Haitao Li
- Department of Social Medicine and Health Service Management, Shenzhen University General Hospital, Shenzhen, China
| | - Jinqiu Yuan
- Clinical Research Center, the Seventh Affiliated Hospital, Sun Yat-sen University, Shenzhen, China
| | - Hualiang Lin
- Department of Epidemiology, School of Public Health, Sun Yat-sen University, Guangzhou, China
| | - Zilong Zhang
- Department of Epidemiology, School of Public Health, Sun Yat-sen University, Guangzhou, China
| |
Collapse
|
20
|
He Q, Wu S, Zhou Y, Liu Y, Xia B, Li W, Zhao J, Mi N, Xie P, Qin X, Yuan J, Pan Y. Genetic factors, adherence to healthy lifestyle behaviors, and risk of bladder cancer. BMC Cancer 2023; 23:965. [PMID: 37828430 PMCID: PMC10568887 DOI: 10.1186/s12885-023-11455-4] [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: 04/28/2023] [Accepted: 09/27/2023] [Indexed: 10/14/2023] Open
Abstract
BACKGROUND Genetic and lifestyle factors both contribute to the pathogenesis of bladder cancer, but the extent to which the increased genetic risk can be mitigated by adhering to a healthy lifestyle remains unclear. We aimed to investigate the association of combined lifestyle factors with bladder cancer risk within genetic risk groups. METHODS We conducted a prospective study of 375 998 unrelated participants of European ancestry with genotype and lifestyle data and free of cancer from the UK biobank. We generated a polygenic risk score (PRS) using 16 single nucleotide polymorphisms and a healthy lifestyle score based on body weight, smoking status, physical activity, and diet. Cox models were fitted to estimate the hazard ratios (HRs) and 95% confidence intervals (CIs) of genetic and lifestyle factors on bladder cancer. RESULTS During a median follow-up of 11.8 years, 880 participants developed bladder cancer. Compared with those with low PRS, participants with intermediate and high PRS had a higher risk of bladder cancer (HR 1.29, 95% CI 1.07-1.56; HR 1.63, 95% CI 1.32-2.02, respectively). An optimal lifestyle was associated with an approximately 50% lower risk of bladder cancer than a poor lifestyle across all genetic strata. Participants with a high genetic risk and a poor lifestyle had 3.6-fold elevated risk of bladder cancer compared with those with a low genetic risk and an optimal lifestyle (HR 3.63, 95% CI 2.23 -5.91). CONCLUSIONS Adhering to a healthy lifestyle could substantially reduce the bladder cancer risk across all genetic strata, even for high-genetic risk individuals. For all populations, adopting an intermediate lifestyle is more beneficial than a poor one, and adhering to an optimal lifestyle is the ideal effective strategy for bladder cancer prevention.
Collapse
Affiliation(s)
- Qiangsheng He
- Scientific Research Center, Big Data Center, The Seventh Affiliated Hospital, Sun Yat-Sen University, Shenzhen, 518107, Guangdong, China
- Clinical Research Center, The Seventh Affiliated Hospital, Sun Yat-Sen University, Shenzhen, 518107, Guangdong, China
- Guangdong Provincial Key Laboratory of Gastroenterology, Center for Digestive Disease, The Seventh Affiliated Hospital, Sun Yat-Sen University, Shenzhen, 518107, Guangdong, China
| | - Siqing Wu
- School of Medicine, Sun Yat-Sen University, Shenzhen, Guangdong, 518107, China
| | - Ying Zhou
- Primary Care Office, The Seventh Affiliated Hospital, Sun Yat-Sen University, Shenzhen, 518107, Guangdong, China
| | - Yuchen Liu
- Scientific Research Center, Big Data Center, The Seventh Affiliated Hospital, Sun Yat-Sen University, Shenzhen, 518107, Guangdong, China
| | - Bin Xia
- Scientific Research Center, Big Data Center, The Seventh Affiliated Hospital, Sun Yat-Sen University, Shenzhen, 518107, Guangdong, China
- Clinical Research Center, The Seventh Affiliated Hospital, Sun Yat-Sen University, Shenzhen, 518107, Guangdong, China
- Guangdong Provincial Key Laboratory of Gastroenterology, Center for Digestive Disease, The Seventh Affiliated Hospital, Sun Yat-Sen University, Shenzhen, 518107, Guangdong, China
| | - Wenjing Li
- Scientific Research Center, Big Data Center, The Seventh Affiliated Hospital, Sun Yat-Sen University, Shenzhen, 518107, Guangdong, China
| | - Jinyu Zhao
- Department of General Surgery, The First Hospital of Lanzhou University, Lanzhou, 730000, Gansu, China
| | - Ningning Mi
- Department of General Surgery, The First Hospital of Lanzhou University, Lanzhou, 730000, Gansu, China
| | - Peng Xie
- Guangdong Provincial Key Laboratory of Gastroenterology, Center for Digestive Disease, The Seventh Affiliated Hospital, Sun Yat-Sen University, Shenzhen, 518107, Guangdong, China
| | - Xiwen Qin
- Department of Pharmacology and Pharmacy, LKS Faculty of Medicine, The University of Hong Kong, Pokfulam, Hong Kong
- School of Population and Global Health, Faculty of Medicine, Density and Health Sciences, University of Western Australia, Perth, AU-WA, Australia
| | - Jinqiu Yuan
- Scientific Research Center, Big Data Center, The Seventh Affiliated Hospital, Sun Yat-Sen University, Shenzhen, 518107, Guangdong, China.
- Clinical Research Center, The Seventh Affiliated Hospital, Sun Yat-Sen University, Shenzhen, 518107, Guangdong, China.
- Guangdong Provincial Key Laboratory of Gastroenterology, Center for Digestive Disease, The Seventh Affiliated Hospital, Sun Yat-Sen University, Shenzhen, 518107, Guangdong, China.
| | - Yihang Pan
- Scientific Research Center, Big Data Center, The Seventh Affiliated Hospital, Sun Yat-Sen University, Shenzhen, 518107, Guangdong, China.
- Guangdong Provincial Key Laboratory of Gastroenterology, Center for Digestive Disease, The Seventh Affiliated Hospital, Sun Yat-Sen University, Shenzhen, 518107, Guangdong, China.
| |
Collapse
|
21
|
Wang L, Zou B, Huang W, Shao Q, Meng X, Tang X, Zhang P, Hu X, Zhang Y, Guo J, Fu L, Zhao W, Zhao C, Yuan J, Yu J, Chen D. Safety and Efficacy Analysis of Patients with Extensive-Stage Small Cell Lung Cancer (ES-SCLC) Treated with SHR-1316 Plus Chemotherapy and Sequential Chest Radiotherapy as First-Line Therapy from a Phase II Trial. Int J Radiat Oncol Biol Phys 2023; 117:S58-S59. [PMID: 37784531 DOI: 10.1016/j.ijrobp.2023.06.354] [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) CAPSTONE-1, a phase 3 trial, showed that SHR-1316 (PD-L1 antibody) combined with standard first-line chemotherapy could prolong overall survival (OS) in patients (pts) with ES-SCLC. The CREST trial reported consolidative thoracic radiotherapy (TRT) of 30 Gy in 10 fractions provided a 10% 2-year OS benefit and more intensive TRT should be investigated in ES-SCLC. In the era of immunotherapy, the role of TRT also needs further exploration. Therefore, we designed this clinical trial to investigate the efficacy and safety of SHR-1316 plus first-line chemotherapy followed by TRT combined with SHR-1316. MATERIALS/METHODS Key inclusion criteria were pts aged 18-75 years, with previously untreated histologically or cytologically confirmed ES-SCLC, and an ECOG performance status of 0-1. Eligible pts would receive 4∼6 cycles of SHR-1316 (20mg/kg, D1, q3w) combined with EP/EC (etoposide, 100mg/m2, D1-5, q3w and cisplatin, 75mg/m², D1-3, q3w or carboplatin, AUC = 5, D1, q3w), followed by SHR-1316 combined with TRT (≥3 Gy*10 f or ≥2 Gy*25 f, involved-field irradiation), and then the maintenance therapy with SHR-1316 until disease progression or intolerable adverse events (AEs). The main endpoints included ORR, PFS and safety. RESULTS From October 2020 to January 2023, 33 pts received SHR-1316 and sequential consolidative TRT. Among them, 19 pts received high-dose TRT (>3 Gy*10 f or ≥2 Gy*25 f) and 14 pts received low-dose TRT (≤3 Gy*10 f or<2 Gy*25 f). The median age was 62 (range: 38-73). Most pts were male (28, 84.8%), former smokers (22, 66.7%) with an ECOG performance status 1 (32, 97%). Ten (30.3%) pts were diagnosed with brain metastasis and 10 (30.3%) pts had liver metastasis at baseline. At the data cutoff date, 9 pts remained on treatment, the average number of treatment cycles was 9.2. 33 pts had at least one 1 post-treatment tumor assessment. The confirmed ORR and DCR were 90.9% (30/33) and 100% (33/33) in all pts, were 89.5% (17/19) and 100% (19/19) in high-dose TRT group, and were 92.9% (13/14) and 100% (14/14) in low-dose TRT group. The median PFS was 10.2(CI: 5.8∼14.7) months in all pts, was 7 (CI: 3.8∼10.2) months in high-dose TRT group and 10.4 (CI: 8.4∼12.3) months in low-dose TRT group. AEs occurred in 27 (81.8%) pts and grade 3 or 4 AEs occurred in 20 (60.6%) pts. The most common grade 3 or 4 AEs included neutropenia (15, 45.5%), leukopenia (8, 24.2%), lymphocytopenia (5, 15.2%), pneumonia (3, 9.1%), anemia (3, 9.1%) and thrombocytopenia (2, 6.1%). CONCLUSION SHR-1316 plus chemotherapy and sequential TRT as first-line therapy for ES-SCLC showed promising efficacy and acceptable safety. There is no significant difference between high-dose and low-dose TRT groups in terms of safety and efficacy according to current data.
Collapse
Affiliation(s)
- L Wang
- Shandong Cancer Hospital, Shandong University, Jinan, China
| | - B Zou
- Department of Radiation Oncology, Shandong Cancer Hospital and Institute, Shandong First Medical University and Shandong Academy of Medical Sciences, Jinan, China
| | - W Huang
- Department of Radiation Oncology, Shandong Cancer Hospital and Institute, Shandong First Medical University and Shandong Academy of Medical Sciences, Jinan, China
| | - Q Shao
- Shandong Cancer Hospital and Institute, Jinan, China
| | - X Meng
- Shandong Cancer Hospital, Shandong University, Jinan, China
| | - X Tang
- Department of Medical Oncology, Shandong Cancer Hospital and Institute, Shandong First Medical University and Shandong Academy of Medical Science, Jinan 250117, Shandong Province, China
| | - P Zhang
- Shandong Cancer Hospital, Shandong University, Jinan, China
| | - X Hu
- Shandong Cancer Hospital, Shandong University, Jinan, China
| | - Y Zhang
- Department of Medical Oncology, Shandong Cancer Hospital and Institute, Shandong First Medical University and Shandong Academy of Medical Science, Jinan 250117, Shandong Province, China
| | - J Guo
- Department of Medical Oncology, Shandong Cancer Hospital and Institute, Shandong First Medical University and Shandong Academy of Medical Science, Jinan 250117, Shandong Province, China
| | - L Fu
- Shandong Cancer Hospital, Shandong University, Jinan, China
| | - W Zhao
- Shandong Cancer Hospital, Shandong University, Jinan, China
| | - C Zhao
- Jiangsu Hengrui Pharmaceuticals Co. Ltd, Shanghai, China
| | - J Yuan
- Jiangsu Hengrui Pharmaceuticals Co. Ltd, Shanghai, China
| | - J Yu
- Shandong Cancer Hospital, Shandong University, Jinan, Shandong, China
| | - D Chen
- Shandong Cancer Hospital, Shandong University, Jinan, China
| |
Collapse
|
22
|
Yuan J, Yu J, Chen D. The Updated Landscape of Tumor Microenvironment and Pre-Metastasis Niches for Radiotherapy Resistant Tumors. Int J Radiat Oncol Biol Phys 2023; 117:S166-S167. [PMID: 37784415 DOI: 10.1016/j.ijrobp.2023.06.266] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 10/04/2023]
Abstract
PURPOSE/OBJECTIVE(S) In the current clinical work, hypo-fractionated radiotherapy (HFRT) and conventional fractionated radiotherapy (CFRT) are considered to be completely different treatments. However, the difference between the HFRT and CFRT in reprogramming the tumor immune microenvironment (TIME) is still inconclusive. Our previous work found that compared with HFRT, CFRT is more inclined to trigger immunosuppressive phenotype, but the underlying mechanism is still unclear. Based on this, we use single-cell mRNA sequencing to describe the landscape of TIME with HFRT and CFRT, and find the key targets or pathways to combine with radiotherapy. MATERIALS/METHODS By simulating the in vivo radiotherapy strategy, we built recurrent murine cell lines mimicking CFRT and HFRT recurrent tumors (CFRT_R and HFRT_R tumors) with small animal radiation research platform (SARRP). RESULTS Based on this unique model, we found that CFRT_R tumors can promote local relapse and lung metastasis significantly compared to HFRT_R tumors. Results of single-cell mRNA sequencing and FCAS also indicate that CFRT_R tumors possess more macrophages in the tumor site and neutrophils in the metastatic site. By using quantitative proteomics of secreted proteins, we prove that CFRT_R tumors secret more Ccl2, S100a11 and Slpi. Mechanically, CFRT_R tumors influence the polarization of M2 TAMs leading to tumor growth through secretion of Ccl2 and S100a11. Meanwhile, CFRT_R tumors also augment the infiltration of neutrophils in the lung through Slpi altering the lung immune landscape to support metastasis. ChIP and EMSA results also reveal that RelB is the core transcription factor of Ccl2, S100a11 and Slpi. Furthermore, local relapse and lung metastasis can be reversed by targeting non-canonical NF-kB pathway. CONCLUSION The effect of CFRT_R and HFRT_R tumors in reprogramming TIME is different, CFRT_R tumors can trigger immunosuppressive phenotype compared to HFRT_R tumors by possessing more M2 TAMs in the tumor site and neutrophils in the metastatic site. The killing function of tumor infiltrated T cells can be inhibited by accumulated M2 TAMs, and abundant neutrophils in lungs contribute to the formation of the pre-metastatic niche. Targeting non-canonical NF-kB pathway can reverse local relapse and lung metastasis in CFRT_R tumors by suppressing Ccl2, S100a11 and Slpi secretion. In short, our study not only deepens the understanding of the immune landscape of CFRT and HFRT recurrence tumors, but also provides a novel therapy of CFRT recurrence patients.
Collapse
Affiliation(s)
- J Yuan
- Department of Radiation Oncology and Shandong Provincial Key Laboratory of Radiation Oncology, Shandong Cancer Hospital and Institute, Shandong First Medical University and Shandong Academy of Medical Sciences, Jinan, China
| | - J Yu
- Shandong Cancer Hospital and Institute, Shandong First Medical University and Shandong Academy of Medical Sciences, Jinan, Shandong, China
| | - D Chen
- Shandong University Cancer Center; Department of Radiation Oncology and Shandong Provincial Key Laboratory of Radiation Oncology, Shandong First Medical University and Shandong Academy of Medical Sciences, Jinan, Shandong, China
| |
Collapse
|
23
|
Wanhainen K, Berkseth M, Sando N, Golden L, Techam A, Wieworka J, Bergerud KB, Argenta P, O'Shea A, Rivard C, Ghebre R, Teoh D, Reynolds MA, Terezakis SA, Yuan J, Sloan L. Effect of External Beam Radiation Therapy (EBRT) and Brachytherapy (BT) on Circulating MDSC Populations in Patients Treated Definitively for Cervical Cancer. Int J Radiat Oncol Biol Phys 2023; 117:e554. [PMID: 37785703 DOI: 10.1016/j.ijrobp.2023.06.1864] [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) The immunosuppressive function of myeloid derived suppressor cells (MDSCs) has been implicated in the regulation of immune responses against cancer. MDSCs have been associated with progression and poor response to therapy in various types of cancer, including cervical cancer. Radiation treatment (RT) alters immune cell populations within the tumor and is thought to augment antitumor responses. However, whether RT also recruits immunosuppressive MDSC populations is not well understood. Here, we investigate how circulating MDSC populations change in response to RT and if changes in MDSC frequency or subsets is predictive of RT responses in cervical cancer patients. MATERIALS/METHODS Newly diagnosed, treatment-naïve pts with locally advanced carcinoma of the cervix will be enrolled from July 2022 to July 2023. EBRT to the pelvis was delivered at a dose of 45 Gy in 25 fractions with a simultaneous integrated boost of 52-55 Gy to involved regional lymph nodes and parametria and concurrent weekly cisplatin. Gross tumor was boosted via interstitial or tandem ring BT (22.5-27.5 Gy) after completion of EBRT. Serial blood samples were collected prior to initiating therapy (T0), post-EBRT and pre-BT (T1), and one-month post-BT (T2). Treatment response was determined based on pre-treatment MRI compared to MRI post-EBRT. Peripheral blood mononuclear cells (PBMCs) were isolated from whole blood using density gradient centrifugation and stained for analysis via flow cytometry. MDSC populations were identified by Live/Dead-CD11b+CD33+HLA-DR- staining. MDSC subsets were further subdivided into granulocytic (G-, CD15+CD14-), monocytic (M-, CD15-CD14+), or early-MDSCs (e-, CD15-CD14-). RESULTS Blood samples were collected at indicated time points for four patients (FIGO stage IIA-IIB). Three had partial responses to chemoradiotherapy (CRT), while one had a complete response. All three patients with partial response had an increase in total frequency of circulating MDSCs in response to EBRT/BT (mean %fx MDSC 16.6 at T0 to 35.9 at T2), and an increase in total MDSCs in two of these patients occurred with EBRT alone. Interestingly, the patient that had a complete response had fewer MDSCs at T2 relative to T0 (35.8% at T0 to 27% at T2). Proportion of MDSC subsets varied considerably among the patients, and all had altered distribution of subsets in response to RT. G-MDSCs expanded the most to RT while M-MDSCs and e-MDSCs were less affected (mean fold change from T0 to T2 G-MDSC 4.75, M-MDSC 1.27, e-MDSC 0.942). CONCLUSION In this cohort of patients, an increase in MDSC frequency occurred after RT and altered subset distribution. Only the patient with a complete response had fewer total MDSCs following completion of CRT, suggesting further studies are needed to determine if circulating MDSCs could be a biomarker for treatment response to RT in cervical cancer.
Collapse
Affiliation(s)
- K Wanhainen
- University of Minnesota Medical School, Minneapolis, MN
| | - M Berkseth
- University of Minnesota, Minneapolis, MN
| | - N Sando
- University of Minnesota, Minneapolis, MN
| | - L Golden
- University of Minnesota, Minneapolis, MN
| | - A Techam
- M Health Fairview, Minneapolis, MN
| | | | | | - P Argenta
- University of Minnesota Medical School, Minneapolis, MN
| | - A O'Shea
- University of Minnesota Medical School, Minneapolis, MN
| | - C Rivard
- University of Minnesota Medical School, Minneapolis, MN
| | - R Ghebre
- University of Minnesota Medical School, Minneapolis, MN
| | - D Teoh
- University of Minnesota Medical School, Minneapolis, MN
| | - M A Reynolds
- Department of Radiation Oncology, University of Minnesota Medical School, Minneapolis, MN
| | | | - J Yuan
- Department of Radiation Oncology, University of Minnesota Medical School, Minneapolis, MN
| | - L Sloan
- Department of Radiation Oncology, University of Minnesota Medical School, Minneapolis, MN
| |
Collapse
|
24
|
Zheng J, Xu M, Yang Q, Hu C, Walker V, Lu J, Wang J, Liu R, Xu Y, Wang T, Zhao Z, Yuan J, Burgess S, Au Yeung SL, Luo S, Anderson EL, Holmes MV, Smith GD, Ning G, Wang W, Gaunt TR, Bi Y. Efficacy of metformin targets on cardiometabolic health in the general population and non-diabetic individuals: a Mendelian randomization study. EBioMedicine 2023; 96:104803. [PMID: 37734206 PMCID: PMC10514430 DOI: 10.1016/j.ebiom.2023.104803] [Citation(s) in RCA: 1] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 12/06/2022] [Revised: 08/31/2023] [Accepted: 09/04/2023] [Indexed: 09/23/2023] Open
Abstract
BACKGROUND Metformin shows beneficial effects on cardiometabolic health in diabetic individuals. However, the beneficial effects in the general population, especially in non-diabetic individuals are unclear. We aim to estimate the effects of perturbation of seven metformin targets on cardiometabolic health using Mendelian randomization (MR). METHODS Genetic variants close to metformin-targeted genes associated with expression of the corresponding genes and glycated haemoglobin (HbA1c) level were used to proxy therapeutic effects of seven metformin-related drug targets. Eight cardiometabolic phenotypes under metformin trials were selected as outcomes (average N = 466,947). MR estimates representing the weighted average effects of the seven effects of metformin targets on the eight outcomes were generated. One-sample MR was applied to estimate the averaged and target-specific effects in 338,425 non-diabetic individuals in UK Biobank. FINDINGS Genetically proxied averaged effects of five metformin targets, equivalent to a 0.62% reduction of HbA1c level, was associated with 37.8% lower risk of coronary artery disease (CAD) (odds ratio [OR] = 0.62, 95% confidence interval [CI] = 0.46-0.84), lower levels of body mass index (BMI) (β = -0.22, 95% CI = -0.35 to -0.09), systolic blood pressure (SBP) (β = -0.19, 95% CI = -0.28 to -0.09) and diastolic blood pressure (DBP) levels (β = -0.29, 95% CI = -0.39 to -0.19). One-sample MR suggested that the seven metformin targets showed averaged and target-specific beneficial effects on BMI, SBP and DBP in non-diabetic individuals. INTERPRETATION This study showed that perturbation of seven metformin targets has beneficial effects on BMI and blood pressure in non-diabetic individuals. Clinical trials are needed to investigate whether similar effects can be achieved with metformin medications. FUNDING Funding information is provided in the Acknowledgements.
Collapse
Affiliation(s)
- Jie Zheng
- Department of Endocrine and Metabolic Diseases, Shanghai Institute of Endocrine and Metabolic Diseases, Ruijin Hospital, Shanghai Jiao Tong University School of Medicine, Shanghai, 200025, China; Shanghai National Clinical Research Center for Metabolic Diseases, Key Laboratory for Endocrine and Metabolic Diseases of the National Health Commission of the PR China, Shanghai Key Laboratory for Endocrine Tumor, State Key Laboratory of Medical Genomics, Ruijin Hospital, Shanghai Jiao Tong University School of Medicine, Shanghai, 200025, China; MRC Integrative Epidemiology Unit (IEU), Bristol Medical School, University of Bristol, Oakfield House, Oakfield Grove, Bristol, BS8 2BN, United Kingdom.
| | - Min Xu
- Department of Endocrine and Metabolic Diseases, Shanghai Institute of Endocrine and Metabolic Diseases, Ruijin Hospital, Shanghai Jiao Tong University School of Medicine, Shanghai, 200025, China; Shanghai National Clinical Research Center for Metabolic Diseases, Key Laboratory for Endocrine and Metabolic Diseases of the National Health Commission of the PR China, Shanghai Key Laboratory for Endocrine Tumor, State Key Laboratory of Medical Genomics, Ruijin Hospital, Shanghai Jiao Tong University School of Medicine, Shanghai, 200025, China.
| | - Qian Yang
- MRC Integrative Epidemiology Unit (IEU), Bristol Medical School, University of Bristol, Oakfield House, Oakfield Grove, Bristol, BS8 2BN, United Kingdom
| | - Chunyan Hu
- Department of Endocrine and Metabolic Diseases, Shanghai Institute of Endocrine and Metabolic Diseases, Ruijin Hospital, Shanghai Jiao Tong University School of Medicine, Shanghai, 200025, China; Shanghai National Clinical Research Center for Metabolic Diseases, Key Laboratory for Endocrine and Metabolic Diseases of the National Health Commission of the PR China, Shanghai Key Laboratory for Endocrine Tumor, State Key Laboratory of Medical Genomics, Ruijin Hospital, Shanghai Jiao Tong University School of Medicine, Shanghai, 200025, China
| | - Venexia Walker
- MRC Integrative Epidemiology Unit (IEU), Bristol Medical School, University of Bristol, Oakfield House, Oakfield Grove, Bristol, BS8 2BN, United Kingdom
| | - Jieli Lu
- Department of Endocrine and Metabolic Diseases, Shanghai Institute of Endocrine and Metabolic Diseases, Ruijin Hospital, Shanghai Jiao Tong University School of Medicine, Shanghai, 200025, China; Shanghai National Clinical Research Center for Metabolic Diseases, Key Laboratory for Endocrine and Metabolic Diseases of the National Health Commission of the PR China, Shanghai Key Laboratory for Endocrine Tumor, State Key Laboratory of Medical Genomics, Ruijin Hospital, Shanghai Jiao Tong University School of Medicine, Shanghai, 200025, China
| | - Jiqiu Wang
- Department of Endocrine and Metabolic Diseases, Shanghai Institute of Endocrine and Metabolic Diseases, Ruijin Hospital, Shanghai Jiao Tong University School of Medicine, Shanghai, 200025, China; Shanghai National Clinical Research Center for Metabolic Diseases, Key Laboratory for Endocrine and Metabolic Diseases of the National Health Commission of the PR China, Shanghai Key Laboratory for Endocrine Tumor, State Key Laboratory of Medical Genomics, Ruijin Hospital, Shanghai Jiao Tong University School of Medicine, Shanghai, 200025, China
| | - Ruixin Liu
- Department of Endocrine and Metabolic Diseases, Shanghai Institute of Endocrine and Metabolic Diseases, Ruijin Hospital, Shanghai Jiao Tong University School of Medicine, Shanghai, 200025, China; Shanghai National Clinical Research Center for Metabolic Diseases, Key Laboratory for Endocrine and Metabolic Diseases of the National Health Commission of the PR China, Shanghai Key Laboratory for Endocrine Tumor, State Key Laboratory of Medical Genomics, Ruijin Hospital, Shanghai Jiao Tong University School of Medicine, Shanghai, 200025, China
| | - Yu Xu
- Department of Endocrine and Metabolic Diseases, Shanghai Institute of Endocrine and Metabolic Diseases, Ruijin Hospital, Shanghai Jiao Tong University School of Medicine, Shanghai, 200025, China; Shanghai National Clinical Research Center for Metabolic Diseases, Key Laboratory for Endocrine and Metabolic Diseases of the National Health Commission of the PR China, Shanghai Key Laboratory for Endocrine Tumor, State Key Laboratory of Medical Genomics, Ruijin Hospital, Shanghai Jiao Tong University School of Medicine, Shanghai, 200025, China
| | - Tiange Wang
- Department of Endocrine and Metabolic Diseases, Shanghai Institute of Endocrine and Metabolic Diseases, Ruijin Hospital, Shanghai Jiao Tong University School of Medicine, Shanghai, 200025, China; Shanghai National Clinical Research Center for Metabolic Diseases, Key Laboratory for Endocrine and Metabolic Diseases of the National Health Commission of the PR China, Shanghai Key Laboratory for Endocrine Tumor, State Key Laboratory of Medical Genomics, Ruijin Hospital, Shanghai Jiao Tong University School of Medicine, Shanghai, 200025, China
| | - Zhiyun Zhao
- Department of Endocrine and Metabolic Diseases, Shanghai Institute of Endocrine and Metabolic Diseases, Ruijin Hospital, Shanghai Jiao Tong University School of Medicine, Shanghai, 200025, China; Shanghai National Clinical Research Center for Metabolic Diseases, Key Laboratory for Endocrine and Metabolic Diseases of the National Health Commission of the PR China, Shanghai Key Laboratory for Endocrine Tumor, State Key Laboratory of Medical Genomics, Ruijin Hospital, Shanghai Jiao Tong University School of Medicine, Shanghai, 200025, China
| | - Jinqiu Yuan
- Clinical Research Center, The Seventh Affiliated Hospital, Sun Yat-sen University, Shenzhen, Guangdong, 518107, China; Center for Digestive Disease, The Seventh Affiliated Hospital, Sun Yat-sen University, Shenzhen, Guangdong, 518107, China; Guangzhou Women and Children Medical Center, Guangzhou, Guangdong, 510623, China; Division of Epidemiology, The JC School of Public Health & Primary Care, The Chinese University of Hong Kong, Hong Kong, China
| | - Stephen Burgess
- MRC Biostatistics Unit, Cambridge Institute of Public Health, Cambridge, CB2 0SR, United Kingdom; Cardiovascular Epidemiology Unit, Department of Public Health and Primary Care, University of Cambridge, Cambridge, United Kingdom
| | - Shiu Lun Au Yeung
- School of Public Health, Li Ka Shing Faculty of Medicine, The University of Hong Kong, Hong Kong SAR, China
| | - Shan Luo
- School of Public Health, Li Ka Shing Faculty of Medicine, The University of Hong Kong, Hong Kong SAR, China
| | - Emma L Anderson
- MRC Integrative Epidemiology Unit (IEU), Bristol Medical School, University of Bristol, Oakfield House, Oakfield Grove, Bristol, BS8 2BN, United Kingdom; Division of Psychiatry, Faculty of Brain Sciences, University College London, London, United Kingdom
| | - Michael V Holmes
- MRC Integrative Epidemiology Unit (IEU), Bristol Medical School, University of Bristol, Oakfield House, Oakfield Grove, Bristol, BS8 2BN, United Kingdom
| | - George Davey Smith
- MRC Integrative Epidemiology Unit (IEU), Bristol Medical School, University of Bristol, Oakfield House, Oakfield Grove, Bristol, BS8 2BN, United Kingdom; NIHR Biomedical Research Centre at the University Hospitals Bristol NHS Foundation Trust and the University of Bristol, United Kingdom
| | - Guang Ning
- Department of Endocrine and Metabolic Diseases, Shanghai Institute of Endocrine and Metabolic Diseases, Ruijin Hospital, Shanghai Jiao Tong University School of Medicine, Shanghai, 200025, China; Shanghai National Clinical Research Center for Metabolic Diseases, Key Laboratory for Endocrine and Metabolic Diseases of the National Health Commission of the PR China, Shanghai Key Laboratory for Endocrine Tumor, State Key Laboratory of Medical Genomics, Ruijin Hospital, Shanghai Jiao Tong University School of Medicine, Shanghai, 200025, China
| | - Weiqing Wang
- Department of Endocrine and Metabolic Diseases, Shanghai Institute of Endocrine and Metabolic Diseases, Ruijin Hospital, Shanghai Jiao Tong University School of Medicine, Shanghai, 200025, China; Shanghai National Clinical Research Center for Metabolic Diseases, Key Laboratory for Endocrine and Metabolic Diseases of the National Health Commission of the PR China, Shanghai Key Laboratory for Endocrine Tumor, State Key Laboratory of Medical Genomics, Ruijin Hospital, Shanghai Jiao Tong University School of Medicine, Shanghai, 200025, China
| | - Tom R Gaunt
- MRC Integrative Epidemiology Unit (IEU), Bristol Medical School, University of Bristol, Oakfield House, Oakfield Grove, Bristol, BS8 2BN, United Kingdom; NIHR Biomedical Research Centre at the University Hospitals Bristol NHS Foundation Trust and the University of Bristol, United Kingdom.
| | - Yufang Bi
- Department of Endocrine and Metabolic Diseases, Shanghai Institute of Endocrine and Metabolic Diseases, Ruijin Hospital, Shanghai Jiao Tong University School of Medicine, Shanghai, 200025, China; Shanghai National Clinical Research Center for Metabolic Diseases, Key Laboratory for Endocrine and Metabolic Diseases of the National Health Commission of the PR China, Shanghai Key Laboratory for Endocrine Tumor, State Key Laboratory of Medical Genomics, Ruijin Hospital, Shanghai Jiao Tong University School of Medicine, Shanghai, 200025, China.
| |
Collapse
|
25
|
Gao L, Lin Y, Yue P, Li S, Zhang Y, Mi N, Bai M, Fu W, Xia Z, Jiang N, Cao J, Yang M, Ma Y, Zhang F, Zhang C, Leung JW, He S, Yuan J, Meng W, Li X. Correction: Identification of a novel bile marker clusterin and a public online prediction platform based on deep learning for cholangiocarcinoma. BMC Med 2023; 21:368. [PMID: 37775755 PMCID: PMC10541692 DOI: 10.1186/s12916-023-03091-3] [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] [Indexed: 10/01/2023] Open
Affiliation(s)
- Long Gao
- The First School of Clinical Medicine, Lanzhou University, Lanzhou, 730030, Gansu, China
- Department of General Surgery, The First Hospital of Lanzhou University, Lanzhou, 730030, Gansu, China
| | - Yanyan Lin
- The First School of Clinical Medicine, Lanzhou University, Lanzhou, 730030, Gansu, China
- Department of General Surgery, The First Hospital of Lanzhou University, Lanzhou, 730030, Gansu, China
- Gansu Province Key Laboratory of Biological Therapy and Regenerative Medicine Transformation, Lanzhou, 730030, Gansu, China
| | - Ping Yue
- The First School of Clinical Medicine, Lanzhou University, Lanzhou, 730030, Gansu, China
- Department of General Surgery, The First Hospital of Lanzhou University, Lanzhou, 730030, Gansu, China
- Gansu Province Key Laboratory of Biological Therapy and Regenerative Medicine Transformation, Lanzhou, 730030, Gansu, China
| | - Shuyan Li
- School of Medical Information and Engineering, Xuzhou Medical University, Xuzhou, 221004, Jiangsu, China
| | - Yong Zhang
- The First School of Clinical Medicine, Lanzhou University, Lanzhou, 730030, Gansu, China
- Department of General Surgery, The First Hospital of Lanzhou University, Lanzhou, 730030, Gansu, China
- Gansu Province Key Laboratory of Biological Therapy and Regenerative Medicine Transformation, Lanzhou, 730030, Gansu, China
| | - Ningning Mi
- The First School of Clinical Medicine, Lanzhou University, Lanzhou, 730030, Gansu, China
- Department of General Surgery, The First Hospital of Lanzhou University, Lanzhou, 730030, Gansu, China
| | - Mingzhen Bai
- The First School of Clinical Medicine, Lanzhou University, Lanzhou, 730030, Gansu, China
- Department of General Surgery, The First Hospital of Lanzhou University, Lanzhou, 730030, Gansu, China
| | - Wenkang Fu
- The First School of Clinical Medicine, Lanzhou University, Lanzhou, 730030, Gansu, China
- Department of General Surgery, The First Hospital of Lanzhou University, Lanzhou, 730030, Gansu, China
| | - Zhili Xia
- The First School of Clinical Medicine, Lanzhou University, Lanzhou, 730030, Gansu, China
- Department of General Surgery, The First Hospital of Lanzhou University, Lanzhou, 730030, Gansu, China
| | - Ningzu Jiang
- The First School of Clinical Medicine, Lanzhou University, Lanzhou, 730030, Gansu, China
- Department of General Surgery, The First Hospital of Lanzhou University, Lanzhou, 730030, Gansu, China
| | - Jie Cao
- The First School of Clinical Medicine, Lanzhou University, Lanzhou, 730030, Gansu, China
| | - Man Yang
- Clinical Research Center, Big Data Center, The Seventh Affiliated Hospital, Sun Yat-Sen University, Shenzhen, 518107, Guangdong, China
| | - Yanni Ma
- The First School of Clinical Medicine, Lanzhou University, Lanzhou, 730030, Gansu, China
| | - Fanxiang Zhang
- The First School of Clinical Medicine, Lanzhou University, Lanzhou, 730030, Gansu, China
| | - Chao Zhang
- The First School of Clinical Medicine, Lanzhou University, Lanzhou, 730030, Gansu, China
| | - Joseph W Leung
- Division of Gastroenterology, UC Davis Medical Center and Sacramento VA Medical Center, Sacramento, CA, 95817, USA
| | - Shun He
- Department of Endoscopy, National Cancer Center/National Clinical Research Center for Cancer/Cancer Hospital, Chinese Academy of Medical Sciences and Peking Union Medical College, Beijing, China.
| | - Jinqiu Yuan
- Clinical Research Center, Big Data Center, The Seventh Affiliated Hospital, Sun Yat-Sen University, Shenzhen, 518107, Guangdong, China.
| | - Wenbo Meng
- The First School of Clinical Medicine, Lanzhou University, Lanzhou, 730030, Gansu, China.
- Department of General Surgery, The First Hospital of Lanzhou University, Lanzhou, 730030, Gansu, China.
- Gansu Province Key Laboratory of Biological Therapy and Regenerative Medicine Transformation, Lanzhou, 730030, Gansu, China.
| | - Xun Li
- The First School of Clinical Medicine, Lanzhou University, Lanzhou, 730030, Gansu, China
- Department of General Surgery, The First Hospital of Lanzhou University, Lanzhou, 730030, Gansu, China
- Gansu Province Key Laboratory of Biological Therapy and Regenerative Medicine Transformation, Lanzhou, 730030, Gansu, China
| |
Collapse
|
26
|
Wang D, He Q, Xia B, Zheng J, Cao W, Su S, Hu F, Li J, Zhang Y, Ren Z, Li X, Wu X, Huang Y, Tang Y, Wei F, Zou H, Jiang H, Huang J, Meng W, Bai M, Yang K, Yuan J. A protocol of Chinese expert consensuses for the management of health risk in the general public. Front Public Health 2023; 11:1225053. [PMID: 37841744 PMCID: PMC10569298 DOI: 10.3389/fpubh.2023.1225053] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 05/18/2023] [Accepted: 09/11/2023] [Indexed: 10/17/2023] Open
Abstract
Introduction Non-communicable diseases (NCDs) represent the leading cause of mortality and disability worldwide. Robust evidence has demonstrated that modifiable lifestyle factors such as unhealthy diet, smoking, alcohol consumption and physical inactivity are the primary causes of NCDs. Although a series of guidelines for the management of NCDs have been published in China, these guidelines mainly focus on clinical practice targeting clinicians rather than the general population, and the evidence for NCD prevention based on modifiable lifestyle factors has been disorganized. Therefore, comprehensive and evidence-based guidance for the risk management of major NCDs for the general Chinese population is urgently needed. To achieve this overarching aim, we plan to develop a series of expert consensuses covering 15 major NCDs on health risk management for the general Chinese population. The objectives of these consensuses are (1) to identify and recommend suitable risk assessment methods for the Chinese population; and (2) to make recommendations for the prevention of major NCDs by integrating the current best evidence and experts' opinions. Methods and analysis For each expert consensus, we will establish a consensus working group comprising 40-50 members. Consensus questions will be formulated by integrating literature reviews, expert opinions, and an online survey. Systematic reviews will be considered as the primary evidence sources. We will conduct new systematic reviews if there are no eligible systematic reviews, the methodological quality is low, or the existing systematic reviews have been published for more than 3 years. We will evaluate the quality of evidence and make recommendations according to the GRADE approach. The consensuses will be reported according to the Reporting Items for Practice Guidelines in Healthcare (RIGHT).
Collapse
Affiliation(s)
- Danni Wang
- Department of Epidemiology and Biostatistics, Clinical Big Data Research Center, The Seventh Affiliated Hospital, Sun Yat-sen University, Shenzhen, China
| | - Qiangsheng He
- Department of Epidemiology and Biostatistics, Clinical Big Data Research Center, The Seventh Affiliated Hospital, Sun Yat-sen University, Shenzhen, China
| | - Bin Xia
- Department of Epidemiology and Biostatistics, Clinical Big Data Research Center, The Seventh Affiliated Hospital, Sun Yat-sen University, Shenzhen, China
| | - Jie Zheng
- Department of Endocrine and Metabolic Diseases, Shanghai Institute of Endocrine and Metabolic Diseases, Ruijin Hospital, Shanghai Jiao Tong University School of Medicine, Shanghai, China
- Shanghai National Clinical Research Center for Metabolic Diseases, Key Laboratory for Endocrine and Metabolic Diseases of the National Health Commission of the PR China, Shanghai Key Laboratory for Endocrine Tumor, State Key Laboratory of Medical Genomics, Ruijin Hospital, Shanghai Jiao Tong University School of Medicine, Shanghai, China
- MRC Integrative Epidemiology Unit (IEU), Bristol Medical School, University of Bristol, Oakfield House, Oakfield Grove, Bristol, United Kingdom
| | - Wangnan Cao
- Department of Social Medicine and Health Education, School of Public Health, Peking University, Beijing, China
| | - Shaochen Su
- Healthy Examination & Management Center, The First Hospital of Lanzhou University, Lanzhou, China
| | - Fulan Hu
- Department of Epidemiology and Biostatistics, School of Public Health, Shenzhen University Health Science Center, Shenzhen, China
| | - Jiang Li
- Office for Cancer Screening, National Cancer Center, National Clinical Research Center for Cancer, Cancer Hospital, Chinese Academy of Medical Sciences and Peking Union Medical College, Beijing, China
- Chinese Academy of Medical Sciences Key Laboratory for National Cancer Big Data Analysis and Implement, Beijing, China
| | - Yuelun Zhang
- Medical Research Center, Peking Union Medical College Hospital, Chinese Academy of Medical Sciences and Peking Union Medical College, Beijing, China
| | - Zhengjia Ren
- Department of Clinical Psychology, The Third Affiliated Hospital of Chongqing Medical University, Chongqing, China
| | - Xue Li
- Center for Safe Medication Practice and Research, Department of Pharmacology and Pharmacy, Li Ka Shing Faculty of Medicine, The University of Hong Kong, Hong Kong, China
- Laboratory of Data Discovery for Health (D24H), Hong Kong Science Park, Hong Kong, China
- Department of Medicine, School of Clinical Medicine, Li Ka Shing Faculty of Medicine, University of Hong Kong, Hong Kong, China
| | - Xinyin Wu
- Department of Epidemiology and Health Statistics, Xiangya School of Public Health, Central South University, Changsha, China
| | - Yafang Huang
- School of General Practice and Continuing Education, Capital Medical University, Beijing, China
| | - Yongjiang Tang
- Department of Respiratory and Critical Care Medicine, West China Hospital, Sichuan University, Chengdu, China
| | - Fuxin Wei
- Department of Orthopaedic Surgery, The Seventh Affiliated Hospital of Sun Yat-sen University, Shenzhen, China
| | - Huachun Zou
- Department of Epidemiology, School of Public Health (Shenzhen), Sun Yat-sen University, Shenzhen, China
| | - Huaili Jiang
- Cancer Center, Zhongshan Hospital, Fudan University, Shanghai, China
| | - Junjie Huang
- Jockey Club School of Public Health and Primary Care, Faculty of Medicine, The Chinese University of Hong Kong, Hong Kong, China
| | - Wenbo Meng
- Department of General Surgery, The First Hospital of Lanzhou University, Lanzhou, China
| | - Ming Bai
- The Department of Nephrology, Xijing Hospital, The Fourth Military Medical University, Xi’an, China
| | - Kehu Yang
- Health Technology Assessment Center, Evidence Based Social Science Research Center, School of Public Health, Lanzhou University, Lanzhou, China
- Evidence Based Medicine Center, School of Basic Medical Sciences, Lanzhou University, Lanzhou, China
- Key Laboratory of Evidence Based Medicine and Knowledge Translation of Gansu Province, Lanzhou, China
| | - Jinqiu Yuan
- Department of Epidemiology and Biostatistics, Clinical Big Data Research Center, The Seventh Affiliated Hospital, Sun Yat-sen University, Shenzhen, China
| | | |
Collapse
|
27
|
Peng YZ, Shuai D, Zhou CM, Yuan J, Zha Y. [Association between extracellular water/body cell mass ratio and cognitive impairment in patients on maintenance hemodialysis]. Zhonghua Yi Xue Za Zhi 2023; 103:2522-2528. [PMID: 37650199 DOI: 10.3760/cma.j.cn112137-20230403-00531] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [MESH Headings] [Grants] [Subscribe] [Scholar Register] [Indexed: 09/01/2023]
Abstract
Objective: To explore the correlation between extracellular water/body cell mass (ECW/BCM) ratio and cognitive impairment (CI) in patients on maintenance hemodialysis (MHD). Methods: A multicenter, cross-sectional study was conducted in Guizhou Province. All adult MHD patients in hemodialysis centers of 18 hospitals in Guizhou Province between June and October 2020 were included. Cognitive function was assessed with the Mini-Mental State Examination (MMSE) score. The ECW and BCM was derived from bioelectrical impedance, and the ECW/BCM ratio was calculated. The patients were divided into four groups based on the quartile of ECW/BCM ratio. Multivariate logistic regression analysis and subgroup analysis were conducted. Results: A total of 3 160 patients were included in the final analysis, of which 761 (24.1%) developed CI. There were 1 868 males (59.1%) and 1 292 females (40.9%), and the mean age was (55±15) years. Multivariate logistic regression analysis showed that the risk of CI in ECW/BCM Q3 group was 1.55 times (95%CI: 1.03-2.34, P=0.035) of that in group Q1, while the risk of CI in Q4 group was 1.62 times of that in group Q1 (95%CI: 1.05-2.51, P=0.029). Subgroup analysis showed that there was an interaction between previous cerebrovascular event and ECW/BCM on CI (P for interaction=0.04). Patients with a previous history of cerebrovascular events had a higher risk of CI than those without. Among those with no previous cerebrovascular events, the risk of CI in group Q4 was 1.62 times of that in group Q1 (95%CI: 1.19-2.20), while the risk of CI in group Q4 was 7.17 times of that in group Q1 (95%CI: 1.59-32.35) in those with previous cerebrovascular events. Conclusion: Increased ECW/BCM ratio is associated with increased CI risk in patients with MHD, and the risk was more obvious in those with previous history of cerebrovascular events.
Collapse
Affiliation(s)
- Y Z Peng
- Department of Nephrology, Guizhou Provincial People's Hospital, Guiyang 550002, China
| | - D Shuai
- Department of Nephrology, the First Affiliated Hospital of Guizhou University of Traditional Chinese Medicine, Guiyang 550002, China
| | - C M Zhou
- Department of Nephrology, Guizhou Provincial People's Hospital, Guiyang 550002, China
| | - J Yuan
- Department of Nephrology, Guizhou Provincial People's Hospital, Guiyang 550002, China
| | - Y Zha
- Department of Nephrology, Guizhou Provincial People's Hospital, Guiyang 550002, China
| |
Collapse
|
28
|
Meng W, Leung JW, Wang Z, Li Q, Zhang L, Zhang K, Wang X, Wang M, Wang Q, Shao Y, Zhang J, Yue P, Zhang L, Zhu K, Zhu X, Zhang H, Hou S, Cai K, Sun H, Xue P, Liu W, Wang H, Zhang L, Ding S, Yang Z, Zhang M, Weng H, Wu Q, Chen B, Jiang T, Wang Y, Zhang L, Wu K, Yang X, Wen Z, Liu C, Miao L, Wang Z, Li J, Yan X, Wang F, Zhang L, Bai M, Mi N, Zhang X, Zhou W, Yuan J, Suzuki A, Tanaka K, Liu J, Nur U, Weiderpass E, Li X. Safety of high-carbohydrate fluid diet 2 h versus overnight fasting before non-emergency endoscopic retrograde cholangiopancreatography: A single-blind, multicenter, randomized controlled trial. Chin Med J (Engl) 2023:00029330-990000000-00771. [PMID: 37620294 DOI: 10.1097/cm9.0000000000002820] [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] [Journal Information] [Subscribe] [Scholar Register] [Received: 01/08/2023] [Indexed: 08/26/2023] Open
Abstract
BACKGROUND Although overnight fasting is recommended prior to endoscopic retrograde cholangiopancreatography (ERCP), the benefits and safety of high-carbohydrate fluid diet (CFD) intake 2 h before ERCP remain unclear. This study aimed to analyze whether high-CFD intake 2 h before ERCP can be safe and accelerate patients' recovery. METHODS This prospective, multicenter, randomized controlled trial involved 15 tertiary ERCP centers. A total of 1330 patients were randomized into CFD group (n = 665) and fasting group (n = 665). The CFD group received 400 mL of maltodextrin orally 2 h before ERCP, while the control group abstained from food/water overnight (>6 h) before ERCP. All ERCP procedures were performed using deep sedation with intravenous propofol. The investigators were blinded but not the patients. The primary outcomes included postoperative fatigue and abdominal pain score, and the secondary outcomes included complications and changes in metabolic indicators. The outcomes were analyzed according to a modified intention-to-treat principle. RESULTS The post-ERCP fatigue scores were significantly lower at 4 h (4.1 ± 2.6 vs. 4.8 ± 2.8, t = 4.23, P <0.001) and 20 h (2.4 ± 2.1 vs. 3.4 ± 2.4, t = 7.94, P <0.001) in the CFD group, with least-squares mean differences of 0.48 (95% confidence interval [CI]: 0.26-0.71, P <0.001) and 0.76 (95% CI: 0.57-0.95, P <0.001), respectively. The 4-h pain scores (2.1 ± 1.7 vs. 2.2 ± 1.7, t = 2.60, P = 0.009, with a least-squares mean difference of 0.21 [95% CI: 0.05-0.37]) and positive urine ketone levels (7.7% [39/509] vs. 15.4% [82/533], χ2 = 15.13, P <0.001) were lower in the CFD group. The CFD group had significantly less cholangitis (2.1% [13/634] vs. 4.0% [26/658], χ2 = 3.99, P = 0.046) but not pancreatitis (5.5% [35/634] vs. 6.5% [43/658], χ2 = 0.59, P = 0.444). Subgroup analysis revealed that CFD reduced the incidence of complications in patients with native papilla (odds ratio [OR]: 0.61, 95% CI: 0.39-0.95, P = 0.028) in the multivariable models. CONCLUSION Ingesting 400 mL of CFD 2 h before ERCP is safe, with a reduction in post-ERCP fatigue, abdominal pain, and cholangitis during recovery. TRAIL REGISTRATION ClinicalTrials.gov, No. NCT03075280.
Collapse
Affiliation(s)
- Wenbo Meng
- Department of General Surgery, The First Hospital of Lanzhou University, Lanzhou, Gansu 730000, China
- Key Laboratory of Biological Therapy and Regenerative Medicine Transformation Gansu Province, Lanzhou, Gansu 730000, China
| | - Joseph W Leung
- Division of Gastroenterology and Hepatology, UC Davis Medical Center, Sacramento, CA 95816, USA
| | - Zhenyu Wang
- Department of Minimally Invasive Surgery, Tianjin Nankai Hospital, Tianjin 300100, China
| | - Qiyong Li
- Division of Hepatobiliary and Pancreatic Surgery, Department of Surgery, Shulan (Hangzhou) Hospital Affiliated to Zhejiang Shuren University, Hangzhou, Zhejiang 310000, China
| | - Leida Zhang
- Department of Hepatobiliary Surgery, Southwest Hospital, Army Medical University, Chongqing 400000, China
| | - Kai Zhang
- Hepatobiliary Surgery Department, Shandong Provincial Third Hospital, Jinan, Shandong 250000, China
| | - Xuefeng Wang
- Department of General Surgery, Xinhua Hospital, Affiliated to Shanghai Jiao Tong University School of Medicine, Shanghai Key Laboratory of Biliary Tract Disease Research, Shanghai 200000, China
| | - Meng Wang
- Department of Hepatobiliary and Pancreatic Surgery, The First Hospital of Jilin University, Changchun, Jilin 130000, China
| | - Qi Wang
- Department of Hepatobiliary Surgery, The General Hospital of Ningxia Medical University, Yinchuan, Ningxia 750000, China
| | - Yingmei Shao
- Department of Hepatobiliary & Hydatid, Digestive and Vascular Surgery Center, Xinjiang Key Laboratory of Echinococcosis and Liver Surgery Research, The First Affiliated Hospital of Xinjiang Medical University, Urumqi, Xinjiang 830000, China
| | - Jijun Zhang
- Department of Hepatobiliary and Pancreatic Surgery, The First Hospital of Shanxi Medical University, Taiyuan, Shanxi 030000, China
| | - Ping Yue
- Department of General Surgery, The First Hospital of Lanzhou University, Lanzhou, Gansu 730000, China
- Key Laboratory of Biological Therapy and Regenerative Medicine Transformation Gansu Province, Lanzhou, Gansu 730000, China
| | - Lei Zhang
- Department of General Surgery, The First Hospital of Lanzhou University, Lanzhou, Gansu 730000, China
- Key Laboratory of Biological Therapy and Regenerative Medicine Transformation Gansu Province, Lanzhou, Gansu 730000, China
| | - Kexiang Zhu
- Department of General Surgery, The First Hospital of Lanzhou University, Lanzhou, Gansu 730000, China
- Key Laboratory of Biological Therapy and Regenerative Medicine Transformation Gansu Province, Lanzhou, Gansu 730000, China
| | - Xiaoliang Zhu
- Department of General Surgery, The First Hospital of Lanzhou University, Lanzhou, Gansu 730000, China
- Key Laboratory of Biological Therapy and Regenerative Medicine Transformation Gansu Province, Lanzhou, Gansu 730000, China
| | - Hui Zhang
- Department of General Surgery, The Second Hospital of Lanzhou University, Lanzhou, Gansu 730000, China
| | - Senlin Hou
- Department of Biliopancreatic Endoscopic Surgery, The Second Hospital of Hebei Medical University, Shijiazhuang, Hebei 050000, China
| | - Kailin Cai
- Gastrointestinal Surgery Department, Union Hospital, Tongji Medical College, Huazhong University of Science and Technology, Wuhan, Hubei 430000, China
| | - Hao Sun
- Department of Hepatobiliary Surgery, The First Affiliated Hospital of Xi'an Jiaotong University, Xi'an, Shaanxi 710000, China
| | - Ping Xue
- Department of Hepatobiliary Surgery, the Second Affiliated Hospital of Guangzhou Medical University, Guangzhou, Guangdong 510260, China
| | - Wei Liu
- Division of Biliopancreatic Surgery, Department of General Surgery, Second Xiangya Hospital, Central South University, Changsha, Hunan 410000, China
| | - Haiping Wang
- Key Laboratory of Biological Therapy and Regenerative Medicine Transformation Gansu Province, Lanzhou, Gansu 730000, China
| | - Li Zhang
- Department of Minimally Invasive Surgery, Tianjin Nankai Hospital, Tianjin 300100, China
| | - Songming Ding
- Division of Hepatobiliary and Pancreatic Surgery, Department of Surgery, Shulan (Hangzhou) Hospital Affiliated to Zhejiang Shuren University, Hangzhou, Zhejiang 310000, China
| | - Zhiqing Yang
- Department of Hepatobiliary Surgery, Southwest Hospital, Army Medical University, Chongqing 400000, China
| | - Ming Zhang
- Hepatobiliary Surgery Department, Shandong Provincial Third Hospital, Jinan, Shandong 250000, China
| | - Hao Weng
- Department of General Surgery, Xinhua Hospital, Affiliated to Shanghai Jiao Tong University School of Medicine, Shanghai Key Laboratory of Biliary Tract Disease Research, Shanghai 200000, China
| | - Qingyuan Wu
- Department of Hepatobiliary and Pancreatic Surgery, The First Hospital of Jilin University, Changchun, Jilin 130000, China
| | - Bendong Chen
- Department of Hepatobiliary Surgery, The General Hospital of Ningxia Medical University, Yinchuan, Ningxia 750000, China
| | - Tiemin Jiang
- Department of Hepatobiliary & Hydatid, Digestive and Vascular Surgery Center, Xinjiang Key Laboratory of Echinococcosis and Liver Surgery Research, The First Affiliated Hospital of Xinjiang Medical University, Urumqi, Xinjiang 830000, China
| | - Yingkai Wang
- Department of Hepatobiliary and Pancreatic Surgery, The First Hospital of Shanxi Medical University, Taiyuan, Shanxi 030000, China
| | - Lichao Zhang
- Department of Biliopancreatic Endoscopic Surgery, The Second Hospital of Hebei Medical University, Shijiazhuang, Hebei 050000, China
| | - Ke Wu
- Gastrointestinal Surgery Department, Union Hospital, Tongji Medical College, Huazhong University of Science and Technology, Wuhan, Hubei 430000, China
| | - Xue Yang
- Department of Hepatobiliary Surgery, The First Affiliated Hospital of Xi'an Jiaotong University, Xi'an, Shaanxi 710000, China
| | - Zilong Wen
- Department of Hepatobiliary Surgery, the Second Affiliated Hospital of Guangzhou Medical University, Guangzhou, Guangdong 510260, China
| | - Chun Liu
- Division of Biliopancreatic Surgery, Department of General Surgery, Second Xiangya Hospital, Central South University, Changsha, Hunan 410000, China
| | - Long Miao
- Department of General Surgery, The First Hospital of Lanzhou University, Lanzhou, Gansu 730000, China
- Key Laboratory of Biological Therapy and Regenerative Medicine Transformation Gansu Province, Lanzhou, Gansu 730000, China
| | - Zhengfeng Wang
- Department of General Surgery, The First Hospital of Lanzhou University, Lanzhou, Gansu 730000, China
- Key Laboratory of Biological Therapy and Regenerative Medicine Transformation Gansu Province, Lanzhou, Gansu 730000, China
| | - Jiajia Li
- Key Laboratory of Biological Therapy and Regenerative Medicine Transformation Gansu Province, Lanzhou, Gansu 730000, China
| | - Xiaowen Yan
- Key Laboratory of Biological Therapy and Regenerative Medicine Transformation Gansu Province, Lanzhou, Gansu 730000, China
| | - Fangzhao Wang
- Department of General Surgery, The First Hospital of Lanzhou University, Lanzhou, Gansu 730000, China
| | - Lingen Zhang
- Department of General Surgery, The First Hospital of Lanzhou University, Lanzhou, Gansu 730000, China
| | - Mingzhen Bai
- The First Clinical Medical College of Lanzhou University, Lanzhou, Gansu 730000, China
| | - Ningning Mi
- The First Clinical Medical College of Lanzhou University, Lanzhou, Gansu 730000, China
| | - Xianzhuo Zhang
- The First Clinical Medical College of Lanzhou University, Lanzhou, Gansu 730000, China
| | - Wence Zhou
- Department of General Surgery, The Second Hospital of Lanzhou University, Lanzhou, Gansu 730000, China
| | - Jinqiu Yuan
- Clinical Research Centre, Scientific Research Centre, The Seventh Affiliated Hospital, Sun Yat-sen University, Shenzhen, Guangdong 518000 China
| | - Azumi Suzuki
- Department of Gastroenterology, Hamamatsu Medical Center, Hamamatsu 9800021, Japan
| | - Kiyohito Tanaka
- Department of Gastroenterology, Kyoto Second Red Cross Hospital, Kyoto 201101, Japan
| | - Jiankang Liu
- Cardiovascular Division, Brigham and Women's Hospital, Harvard Medical School, Boston, MA 02115, USA
| | - Ula Nur
- Department of Public Health, College of Health Sciences, Qatar University, Doha 2713, Qatar
| | | | - Xun Li
- Department of General Surgery, The First Hospital of Lanzhou University, Lanzhou, Gansu 730000, China
- Key Laboratory of Biological Therapy and Regenerative Medicine Transformation Gansu Province, Lanzhou, Gansu 730000, China
| |
Collapse
|
29
|
Yuan J, Xu Q, Zhu LT, Jiang AM. [An investigative study on the correlation between refractive status and ocular biometric parameters in 3-6-year-old children in Shunyi District, Beijing, China]. Zhonghua Yan Ke Za Zhi 2023; 59:636-642. [PMID: 37550971 DOI: 10.3760/cma.j.cn112142-20230116-00024] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [MESH Headings] [Grants] [Subscribe] [Scholar Register] [Indexed: 08/09/2023]
Abstract
Objective: To investigate the relationship between refractive status and ocular biometric parameters in preschool children in Shunyi District, Beijing. Methods: This cross-sectional study employed a random cluster sampling method to measure the ocular axial length (AL), corneal curvature(CR), anterior chamber depth, and horizontal corneal diameter (WTW) using an optical biometer in 3-6-year-old children from 11 kindergartens in Shunyi District, Beijing. The ratio of AL to corneal curvature radius (AL/CR) was calculated. Cycloplegic refraction was performed using 1% cyclopentolate, and the equivalent spherical diopter (SE) was calculated. Ocular biometric parameters were compared among different age groups and refractive statuses. Correlation and regression analyses were conducted between SE and ocular biometric parameters. Results: A total of 1, 142 children completed the examination, with a mean age of (4.52±0.87) years, including 119 three-year-olds, 487 four-year-olds, 362 five-year-olds, and 174 six-year-olds. Among them, 554 were boys and 588 were girls. The mean SE of the examined children was (1.19±0.81) D, AL was (22.27±0.67) mm, corneal curvature radius was (7.73±0.25) mm, and the anterior chamber depth was (3.33±0.67) mm. The mean SE for three-, four-, five-, and six-year-old children was 1.18, 1.19, 1.21, and 1.13 D, respectively. SE showed correlations with AL, AL/CR, and anterior chamber depth (r=-0.350, -0.542, -0.083; all P<0.05), but no correlation with WTW or corneal curvature radius (P>0.05). Among children with different refractive statuses, SE showed stronger correlations with AL and AL/CR in myopic, hyperopic, and highly hyperopic children compared to emmetropic children, and the correlation tended to be stronger with increasing age. The linear regression equations for SE and AL, AL/CR were SE=10.64-0.42·AL and SE=21.48-7.043·AL/CR, respectively. Conclusions: The refractive status of 3-6-year-old children in Shunyi District, Beijing, showed minimal changes. Myopic children had longer AL, deeper anterior chamber, and slightly steeper cornea.
Collapse
Affiliation(s)
- J Yuan
- Department of Ophthalmology, Shunyi District Hospital, Beijing 101300, China
| | - Q Xu
- Department of Ophthalmology, Shunyi District Hospital, Beijing 101300, China
| | - L T Zhu
- Department of Ophthalmology, Shunyi District Hospital, Beijing 101300, China
| | - A M Jiang
- Department of Ophthalmology, Shunyi District Hospital, Beijing 101300, China
| |
Collapse
|
30
|
Gao L, Lin Y, Yue P, Li S, Zhang Y, Mi N, Bai M, Fu W, Xia Z, Jiang N, Cao J, Yang M, Ma Y, Zhang F, Zhang C, Leung JW, He S, Yuan J, Meng W, Li X. Identification of a novel bile marker clusterin and a public online prediction platform based on deep learning for cholangiocarcinoma. BMC Med 2023; 21:294. [PMID: 37553571 PMCID: PMC10408060 DOI: 10.1186/s12916-023-02990-9] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 03/01/2023] [Accepted: 07/20/2023] [Indexed: 08/10/2023] Open
Abstract
BACKGROUND Cholangiocarcinoma (CCA) is a highly aggressive malignant tumor, and its diagnosis is still a challenge. This study aimed to identify a novel bile marker for CCA diagnosis based on proteomics and establish a diagnostic model with deep learning. METHODS A total of 644 subjects (236 CCA and 408 non-CCA) from two independent centers were divided into discovery, cross-validation, and external validation sets for the study. Candidate bile markers were identified by three proteomics data and validated on 635 clinical humoral specimens and 121 tissue specimens. A diagnostic multi-analyte model containing bile and serum biomarkers was established in cross-validation set by deep learning and validated in an independent external cohort. RESULTS The results of proteomics analysis and clinical specimen verification showed that bile clusterin (CLU) was significantly higher in CCA body fluids. Based on 376 subjects in the cross-validation set, ROC analysis indicated that bile CLU had a satisfactory diagnostic power (AUC: 0.852, sensitivity: 73.6%, specificity: 90.1%). Building on bile CLU and 63 serum markers, deep learning established a diagnostic model incorporating seven factors (CLU, CA19-9, IBIL, GGT, LDL-C, TG, and TBA), which showed a high diagnostic utility (AUC: 0.947, sensitivity: 90.3%, specificity: 84.9%). External validation in an independent cohort (n = 259) resulted in a similar accuracy for the detection of CCA. Finally, for the convenience of operation, a user-friendly prediction platform was built online for CCA. CONCLUSIONS This is the largest and most comprehensive study combining bile and serum biomarkers to differentiate CCA. This diagnostic model may potentially be used to detect CCA.
Collapse
Affiliation(s)
- Long Gao
- The First School of Clinical Medicine, Lanzhou University, Lanzhou, 730030, Gansu, China
- Department of General Surgery, The First Hospital of Lanzhou University, Lanzhou, 730030, Gansu, China
| | - Yanyan Lin
- The First School of Clinical Medicine, Lanzhou University, Lanzhou, 730030, Gansu, China
- Department of General Surgery, The First Hospital of Lanzhou University, Lanzhou, 730030, Gansu, China
- Gansu Province Key Laboratory of Biological Therapy and Regenerative Medicine Transformation, Lanzhou, 730030, Gansu, China
| | - Ping Yue
- The First School of Clinical Medicine, Lanzhou University, Lanzhou, 730030, Gansu, China
- Department of General Surgery, The First Hospital of Lanzhou University, Lanzhou, 730030, Gansu, China
- Gansu Province Key Laboratory of Biological Therapy and Regenerative Medicine Transformation, Lanzhou, 730030, Gansu, China
| | - Shuyan Li
- School of Medical Information and Engineering, Xuzhou Medical University, Xuzhou, 221004, Jiangsu, China
| | - Yong Zhang
- The First School of Clinical Medicine, Lanzhou University, Lanzhou, 730030, Gansu, China
- Department of General Surgery, The First Hospital of Lanzhou University, Lanzhou, 730030, Gansu, China
- Gansu Province Key Laboratory of Biological Therapy and Regenerative Medicine Transformation, Lanzhou, 730030, Gansu, China
| | - Ningning Mi
- The First School of Clinical Medicine, Lanzhou University, Lanzhou, 730030, Gansu, China
- Department of General Surgery, The First Hospital of Lanzhou University, Lanzhou, 730030, Gansu, China
| | - Mingzhen Bai
- The First School of Clinical Medicine, Lanzhou University, Lanzhou, 730030, Gansu, China
- Department of General Surgery, The First Hospital of Lanzhou University, Lanzhou, 730030, Gansu, China
| | - Wenkang Fu
- The First School of Clinical Medicine, Lanzhou University, Lanzhou, 730030, Gansu, China
- Department of General Surgery, The First Hospital of Lanzhou University, Lanzhou, 730030, Gansu, China
| | - Zhili Xia
- The First School of Clinical Medicine, Lanzhou University, Lanzhou, 730030, Gansu, China
- Department of General Surgery, The First Hospital of Lanzhou University, Lanzhou, 730030, Gansu, China
| | - Ningzu Jiang
- The First School of Clinical Medicine, Lanzhou University, Lanzhou, 730030, Gansu, China
- Department of General Surgery, The First Hospital of Lanzhou University, Lanzhou, 730030, Gansu, China
| | - Jie Cao
- The First School of Clinical Medicine, Lanzhou University, Lanzhou, 730030, Gansu, China
| | - Man Yang
- Clinical Research Center, Big Data Center, The Seventh Affiliated Hospital, Sun Yat-Sen University, Shenzhen, 518107, Guangdong, China
| | - Yanni Ma
- The First School of Clinical Medicine, Lanzhou University, Lanzhou, 730030, Gansu, China
| | - Fanxiang Zhang
- The First School of Clinical Medicine, Lanzhou University, Lanzhou, 730030, Gansu, China
| | - Chao Zhang
- The First School of Clinical Medicine, Lanzhou University, Lanzhou, 730030, Gansu, China
| | - Joseph W Leung
- Division of Gastroenterology, UC Davis Medical Center and Sacramento VA Medical Center, Sacramento, CA, 95817, USA
| | - Shun He
- Department of Endoscopy, National Cancer Center/National Clinical Research Center for Cancer/Cancer Hospital, Chinese Academy of Medical Sciences and Peking Union Medical College, Beijing, China.
| | - Jinqiu Yuan
- Clinical Research Center, Big Data Center, The Seventh Affiliated Hospital, Sun Yat-Sen University, Shenzhen, 518107, Guangdong, China.
| | - Wenbo Meng
- The First School of Clinical Medicine, Lanzhou University, Lanzhou, 730030, Gansu, China.
- Department of General Surgery, The First Hospital of Lanzhou University, Lanzhou, 730030, Gansu, China.
- Gansu Province Key Laboratory of Biological Therapy and Regenerative Medicine Transformation, Lanzhou, 730030, Gansu, China.
| | - Xun Li
- The First School of Clinical Medicine, Lanzhou University, Lanzhou, 730030, Gansu, China
- Department of General Surgery, The First Hospital of Lanzhou University, Lanzhou, 730030, Gansu, China
- Gansu Province Key Laboratory of Biological Therapy and Regenerative Medicine Transformation, Lanzhou, 730030, Gansu, China
| |
Collapse
|
31
|
Tian L, Huang C, Fu W, Gao L, Mi N, Bai M, Ma H, Zhang C, Lu Y, Zhao J, Zhang X, Jiang N, Lin Y, Yue P, Yuan J, Meng W. Proton pump inhibitors may enhance the risk of digestive diseases by regulating intestinal microbiota. Front Pharmacol 2023; 14:1217306. [PMID: 37529701 PMCID: PMC10387554 DOI: 10.3389/fphar.2023.1217306] [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: 05/05/2023] [Accepted: 07/06/2023] [Indexed: 08/03/2023] Open
Abstract
Proton pump inhibitors (PPIs) are the most used acid-inhibitory drugs, with a wide range of applications in the treatment of various digestive diseases. However, recently, there has been a growing number of digestive complications linked to PPIs, and several studies have indicated that the intestinal flora play an important role in these complications. Therefore, developing a greater understanding of the role of the gut microbiota in PPI-related digestive diseases is essential. Here, we summarize the current research on the correlation between PPI-related digestive disorders and intestinal flora and establish the altered strains and possible pathogenic mechanisms of the different diseases. We aimed to provide a theoretical basis and reference for the future treatment and prevention of PPI-related digestive complications based on the regulation of the intestinal microbiota.
Collapse
Affiliation(s)
- Liang Tian
- The First Clinical Medical College, Lanzhou University, Lanzhou, Gansu, China
| | - Chongfei Huang
- The First Clinical Medical College, Lanzhou University, Lanzhou, Gansu, China
| | - Wenkang Fu
- The First Clinical Medical College, Lanzhou University, Lanzhou, Gansu, China
| | - Long Gao
- The First Clinical Medical College, Lanzhou University, Lanzhou, Gansu, China
| | - Ningning Mi
- The First Clinical Medical College, Lanzhou University, Lanzhou, Gansu, China
| | - Mingzhen Bai
- The First Clinical Medical College, Lanzhou University, Lanzhou, Gansu, China
| | - Haidong Ma
- The First Clinical Medical College, Lanzhou University, Lanzhou, Gansu, China
| | - Chao Zhang
- The First Clinical Medical College, Lanzhou University, Lanzhou, Gansu, China
| | - Yawen Lu
- The First Clinical Medical College, Lanzhou University, Lanzhou, Gansu, China
| | - Jinyu Zhao
- The First Clinical Medical College, Lanzhou University, Lanzhou, Gansu, China
| | - Xianzhuo Zhang
- The First Clinical Medical College, Lanzhou University, Lanzhou, Gansu, China
| | - Ningzu Jiang
- The First Clinical Medical College, Lanzhou University, Lanzhou, Gansu, China
| | - Yanyan Lin
- The First Clinical Medical College, Lanzhou University, Lanzhou, Gansu, China
| | - Ping Yue
- The First Clinical Medical College, Lanzhou University, Lanzhou, Gansu, China
| | - Jinqiu Yuan
- Clinical Research Center, Scientific Research Center, The Seventh Affiliated Hospital, Sun Yat-sen University, Shenzhen, Guangdong, China
| | - Wenbo Meng
- The First Clinical Medical College, Lanzhou University, Lanzhou, Gansu, China
- Department of General Surgery, The First Hospital of Lanzhou University, Lanzhou, Gansu, China
| |
Collapse
|
32
|
Li W, Zhou Y, Luo Z, Tang R, Sun Y, He Q, Xia B, Lu K, Hou Q, Yuan J. Lipidomic markers for the prediction of progression from mild cognitive impairment to Alzheimer's disease. FASEB J 2023; 37:e22998. [PMID: 37289136 DOI: 10.1096/fj.202201584rr] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 09/30/2022] [Revised: 04/18/2023] [Accepted: 05/12/2023] [Indexed: 06/09/2023]
Abstract
Dementia is a well-known syndrome and Alzheimer's disease (AD) is the main cause of dementia. Lipids play a key role in the pathogenesis of AD, however, the prediction value of serum lipidomics on AD remains unclear. This study aims to construct a lipid score system to predict the risk of progression from mild cognitive impairment (MCI) to AD. First, we used the least absolute shrinkage and selection operator (LASSO) Cox regression model to select the lipids that can signify the progression from MCI to AD based on 310 older adults with MCI. Then we constructed a lipid score based on 14 single lipids using Cox regression and estimated the association between the lipid score and progression from MCI to AD. The prevalence of AD in the low-, intermediate- and high-score groups was 42.3%, 59.8%, and 79.8%, respectively. The participants in the intermediate- and high-score group had a 1.65-fold (95% CI 1.10 to 2.47) and 3.55-fold (95% CI 2.40 to 5.26) higher risk of AD, respectively, as compared to those with low lipid scores. The lipid score showed moderate prediction efficacy (c-statistics > 0.72). These results suggested that the score system based on serum lipidomics is useful for the prediction of progression from MCI to AD.
Collapse
Affiliation(s)
- Wenjing Li
- Department of Epidemiology and Biostatistics, Clinical Big Data Research Center, The Seventh Affiliated Hospital, Sun Yat-sen University, Shenzhen, Guangdong, China
| | - Yinhua Zhou
- Center for Clinical Medical Humanities, The Seventh Affiliated Hospital, Sun Yat-sen University, Shenzhen, Guangdong, China
| | - Zhaofan Luo
- Department of Clinical Laboratory, The Seventh Affiliated Hospital, Sun Yat-sen University, Shenzhen, Guangdong, China
| | - Rixin Tang
- Department of Epidemiology and Biostatistics, Clinical Big Data Research Center, The Seventh Affiliated Hospital, Sun Yat-sen University, Shenzhen, Guangdong, China
| | - Yuxuan Sun
- Department of Epidemiology and Biostatistics, Clinical Big Data Research Center, The Seventh Affiliated Hospital, Sun Yat-sen University, Shenzhen, Guangdong, China
- Chinese Health Risk Management Collaboration (CHRIMAC), Shenzhen, Guangdong, China
| | - Qiangsheng He
- Department of Epidemiology and Biostatistics, Clinical Big Data Research Center, The Seventh Affiliated Hospital, Sun Yat-sen University, Shenzhen, Guangdong, China
- Chinese Health Risk Management Collaboration (CHRIMAC), Shenzhen, Guangdong, China
| | - Bin Xia
- Department of Epidemiology and Biostatistics, Clinical Big Data Research Center, The Seventh Affiliated Hospital, Sun Yat-sen University, Shenzhen, Guangdong, China
- Chinese Health Risk Management Collaboration (CHRIMAC), Shenzhen, Guangdong, China
| | - Kuiqing Lu
- Chinese Health Risk Management Collaboration (CHRIMAC), Shenzhen, Guangdong, China
| | - Qinghua Hou
- Clinical Neuroscience Center, The Seventh Affiliated Hospital, Sun Yat-sen University, Shenzhen, Guangdong, China
| | - Jinqiu Yuan
- Department of Epidemiology and Biostatistics, Clinical Big Data Research Center, The Seventh Affiliated Hospital, Sun Yat-sen University, Shenzhen, Guangdong, China
- Chinese Health Risk Management Collaboration (CHRIMAC), Shenzhen, Guangdong, China
| |
Collapse
|
33
|
Zhan C, Zhang X, Yuan J, Chen X, Zhang X, Fathollahi-Fard AM, Wang C, Wu J, Tian G. A hybrid approach for low-carbon transportation system analysis: integrating CRITIC-DEMATEL and deep learning features. Int J Environ Sci Technol (Tehran) 2023:1-14. [PMID: 37360563 PMCID: PMC10250180 DOI: 10.1007/s13762-023-04995-6] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [Track Full Text] [Figures] [Subscribe] [Scholar Register] [Received: 08/12/2022] [Revised: 04/24/2023] [Accepted: 05/08/2023] [Indexed: 06/28/2023]
Abstract
As supply chains, logistics, and transportation activities continue to play a significant role in China's economic and social developments, concerns around energy consumption and carbon emissions are becoming increasingly prevalent. In light of sustainable development goals and the trend toward sustainable or green transportation, there is a need to minimize the environmental impact of these activities. To address this need, the government of China has made efforts to promote low-carbon transportation systems. This study aims to assess the development of low-carbon transportation systems in a case study in China using a hybrid approach based on the Criteria Importance Through Intercriteria Correlation (CRITIC), Decision-Making Trial and Evaluation Laboratory (DEMATEL) and deep learning features. The proposed method provides an accurate quantitative assessment of low-carbon transportation development levels, identifies the key influencing factors, and sorts out the inner connection among the factors. The CRITIC weight matrix is used to obtain the weight ratio, reducing the subjective color of the DEMATEL method. The weighting results are then corrected using an artificial neural network to make the weighting more accurate and objective. To validate our hybrid method, a numerical example in China is applied, and sensitivity analysis is conducted to show the impact of our main parameters and analyze the efficiency of our hybrid method. Overall, the proposed approach offers a novel method for assessing low-carbon transportation development and identifying key factors in China. The results of this study can be used to inform policy and decision-making to promote sustainable transportation systems in China and beyond.
Collapse
Affiliation(s)
- C. Zhan
- Transportation College, Northeast Forestry University, Harbin, 150040 China
| | - X. Zhang
- Transportation College, Northeast Forestry University, Harbin, 150040 China
| | - J. Yuan
- Transportation College, Northeast Forestry University, Harbin, 150040 China
| | - X. Chen
- Transportation College, Northeast Forestry University, Harbin, 150040 China
| | - X. Zhang
- Transportation College, Northeast Forestry University, Harbin, 150040 China
| | - A. M. Fathollahi-Fard
- Department of Deputy Vice Chancellor (Research and Innovation), Universiti Teknologi Malaysia, 81310 Skudai, Malaysia
| | - C. Wang
- Shandong Taizhan Electrom-Echanical Technology Co., Ltd, Zibo, 255100 Shandong China
| | - J. Wu
- Qinghai Huasheng Ferroalloy Smelting Co Ltd, Xining, 810000 China
| | - G. Tian
- School of Mechanical-Electrical and Vehicle Engineering, Beijing University of Civil Engineering and Architecture, Beijing, 100044 China
| |
Collapse
|
34
|
Yuan J, Yan Q, Xie J, Wang J, Zhang T. Effects of warming on seed germination of woody species in temperate secondary forests. Plant Biol (Stuttg) 2023; 25:579-592. [PMID: 36970946 DOI: 10.1111/plb.13519] [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: 09/29/2022] [Accepted: 03/15/2023] [Indexed: 05/17/2023]
Abstract
Seed germination, a critical stage of the plant life cycle providing a link between seeds and seedlings, is commonly temperature-dependent. The global average surface temperature is expected to rise, but little is known about the responses of seed germination of woody plants in temperate forests to warming. In the present study, dried seeds of 23 common woody species in temperate secondary forests were incubated at three temperature sequences without cold stratification and after experiencing cold stratification. We calculated five seed germination indices and the comprehensive membership function value that summarized the above indicators. Compared to the control, +2 and +4 °C treatments without cold stratification shortened germination time by 14% and 16% and increased the germination index by 17% and 26%, respectively. For stratified seeds, +4 °C treatment increased germination percentage by 49%, and +4 and +2 °C treatments increased duration of germination and the germination index, and shortened mean germination time by 69%, 458%, 29% and 68%, 110%, 12%, respectively. The germination of Fraxinus rhynchophylla and Larix kaempferi were most sensitive to warming without and with cold stratification, respectively. Seed germination of shrubs was the least sensitive to warming among functional types. These findings indicate warming (especially extreme warming) will enhance the seedling recruitment of temperate woody species, primarily via shortening the germination time, particularly for seeds that have undergone cold stratification. In addition, shrubs might narrow their distribution range.
Collapse
Affiliation(s)
- J Yuan
- Qingyuan Forest CERN, National Observation and Research Station, Shenyang, Liaoning Province, China
- CAS Key Laboratory of Forest Ecology and Management, Institute of Applied Ecology, Shenyang, China
- University of Chinese Academy of Sciences, Beijing, China
- Key Laboratory of Terrestrial Ecosystem Carbon Neutrality, Shenyang, Liaoning Province, China
| | - Q Yan
- Qingyuan Forest CERN, National Observation and Research Station, Shenyang, Liaoning Province, China
- CAS Key Laboratory of Forest Ecology and Management, Institute of Applied Ecology, Shenyang, China
- Key Laboratory of Terrestrial Ecosystem Carbon Neutrality, Shenyang, Liaoning Province, China
| | - J Xie
- Key Laboratory of Agricultural Water Resources, Hebei Key Laboratory of Soil Ecology, Center for Agricultural Resources Research, Institute of Genetic and Developmental Biology, Chinese Academy of Sciences, Shijiazhuang, China
| | - J Wang
- School of Life Sciences, Zhengzhou University, Zhengzhou, China
| | - T Zhang
- Qingyuan Forest CERN, National Observation and Research Station, Shenyang, Liaoning Province, China
- CAS Key Laboratory of Forest Ecology and Management, Institute of Applied Ecology, Shenyang, China
- Key Laboratory of Terrestrial Ecosystem Carbon Neutrality, Shenyang, Liaoning Province, China
| |
Collapse
|
35
|
Zhou JY, Zhong HM, An ZG, Niu KF, Zhang XX, Yao ZQ, Yuan J, Nie P, Yang LG. Dung treated by high-temperature composting is an optimal bedding material for suckling calves according to analyses of microbial composition, growth performance, health status, and behavior. J Dairy Sci 2023:S0022-0302(23)00288-6. [PMID: 37268590 DOI: 10.3168/jds.2022-22485] [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: 07/06/2022] [Accepted: 01/29/2023] [Indexed: 06/04/2023]
Abstract
Bedding materials are important for suckling buffalo calves. Treated dung has been used as a bedding material for dairy cows but the lack of an appropriate safety assessment limits its application. In this study, we evaluated the feasibility of treated dung (TD) as a bedding material for suckling calves by comparing TD with rice husk (RH) and rice straw (RS) bedding materials. The TD was prepared through high-temperature composting by Bacillus subtilis. Thirty-three newborn suckling buffalo calves (Bubalus bubalis, 40.06 ± 5.79 kg) were randomly divided into 3 bedding material groups (TD, RH, and RS) and bedded with 1 of the 3 bedding materials for 60 d. We compared cost, moisture content, bacterial counts, and microbial composition of the 3 bedding materials, and investigated growth performance, health status, behavior, rumen fermentation, and blood parameters of bedded calves. The results showed that TD contained the fewest gram-negative bacteria and coliforms on d 1 and 30 and the lowest relative abundance of Staphylococcus throughout the experiment. The RH and TD bedding materials had the lowest cost. Calves in the TD and RS groups showed a higher dry matter intake, and final body weight and average daily gain in the TD and RS groups tended to be higher than in the RH group. Calves in the TD and RS groups had a lower disease incidence (diarrhea and fever), fewer antibiotic treatments, and lower fecal score than calves in the RH group. Higher contents of IgG, IgA, and IgM were observed in calves of the TD and RS groups than in calves of the RH group on d 10, indicating higher immune ability in TD and RS groups. Furthermore, TD bedding increased the butyric acid content in the calf's rumen, whereas RS bedding increased the acetate content, which might be attributed to the longer time and higher frequency of eating bedding material in the RS group. Considering all of the above indicators, we concluded that TD is the optimal bedding material for calves based on economics, bacterial count, microbial diversity, growth performance, and health status. Our findings provide a valuable reference for bedding material choice and calf farming.
Collapse
Affiliation(s)
- J Y Zhou
- Key Laboratory of Animal Genetics, Breeding and Reproduction, Ministry of Education, College of Animal Science and Technology, Huazhong Agricultural University, Wuhan 430070, China; National Center for International Research on Animal Genetics, Breeding and Reproduction (NCIRAGBR), Huazhong Agricultural University, Wuhan 430070, China
| | - H M Zhong
- College of Life Science and Technology, Huazhong University of Science and Technology, Wuhan 430074, China; CAS Key Laboratory of Quantitative Engineering Biology, Shenzhen Institute of Synthetic Biology, Shenzhen Institutes of Advanced Technology, Chinese Academy of Sciences, Shenzhen, China
| | - Z G An
- Key Laboratory of Animal Genetics, Breeding and Reproduction, Ministry of Education, College of Animal Science and Technology, Huazhong Agricultural University, Wuhan 430070, China; National Center for International Research on Animal Genetics, Breeding and Reproduction (NCIRAGBR), Huazhong Agricultural University, Wuhan 430070, China
| | - K F Niu
- Key Laboratory of Animal Genetics, Breeding and Reproduction, Ministry of Education, College of Animal Science and Technology, Huazhong Agricultural University, Wuhan 430070, China; National Center for International Research on Animal Genetics, Breeding and Reproduction (NCIRAGBR), Huazhong Agricultural University, Wuhan 430070, China
| | - X X Zhang
- Key Laboratory of Animal Genetics, Breeding and Reproduction, Ministry of Education, College of Animal Science and Technology, Huazhong Agricultural University, Wuhan 430070, China; National Center for International Research on Animal Genetics, Breeding and Reproduction (NCIRAGBR), Huazhong Agricultural University, Wuhan 430070, China
| | - Z Q Yao
- Key Laboratory of Animal Genetics, Breeding and Reproduction, Ministry of Education, College of Animal Science and Technology, Huazhong Agricultural University, Wuhan 430070, China; National Center for International Research on Animal Genetics, Breeding and Reproduction (NCIRAGBR), Huazhong Agricultural University, Wuhan 430070, China
| | - J Yuan
- Key Laboratory of Animal Genetics, Breeding and Reproduction, Ministry of Education, College of Animal Science and Technology, Huazhong Agricultural University, Wuhan 430070, China; National Center for International Research on Animal Genetics, Breeding and Reproduction (NCIRAGBR), Huazhong Agricultural University, Wuhan 430070, China
| | - P Nie
- Key Laboratory of Animal Genetics, Breeding and Reproduction, Ministry of Education, College of Animal Science and Technology, Huazhong Agricultural University, Wuhan 430070, China; National Center for International Research on Animal Genetics, Breeding and Reproduction (NCIRAGBR), Huazhong Agricultural University, Wuhan 430070, China
| | - L G Yang
- Key Laboratory of Animal Genetics, Breeding and Reproduction, Ministry of Education, College of Animal Science and Technology, Huazhong Agricultural University, Wuhan 430070, China; National Center for International Research on Animal Genetics, Breeding and Reproduction (NCIRAGBR), Huazhong Agricultural University, Wuhan 430070, China; Hubei Province's Engineering Research Center in Buffalo Breeding and Products, Wuhan 430070, China.
| |
Collapse
|
36
|
Xie P, Wu S, Kuo Z, Tian H, He Q, Li Y, Mi N, Hu L, Zhao H, Li W, Xia B, Yuan J, Yang K, Zhang C, He Y. Association of modifiable lifestyle with colorectal cancer incidence and mortality according to metabolic status: prospective cohort study. Front Oncol 2023; 13:1162221. [PMID: 37324025 PMCID: PMC10262687 DOI: 10.3389/fonc.2023.1162221] [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] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 02/13/2023] [Accepted: 05/16/2023] [Indexed: 06/17/2023] Open
Abstract
Background Metabolic syndrome has been linked to an increased risk of colorectal cancer (CRC) incidence and mortality, but whether adopting a healthy lifestyle could attenuate the risk of CRC conferred by metabolic syndrome remains unclear. The aim of the study is to investigate the individual and joint effects of modifiable healthy lifestyle and metabolic health status on CRC incidence and mortality in the UK population. Methods This prospective study included 328,236 individuals from the UK Biobank. An overall metabolic health status was assessed at baseline and categorized based on the presence or absence of metabolic syndrome. We estimated the association of the healthy lifestyle score (derived from 4 modifiable behaviors: smoking, alcohol consumption, diet, physical activity and categorized into "favorable," "intermediate", and "unfavorable") with CRC incidence and mortality, stratified by metabolic health status. Results During a median follow-up of 12.5 years, 3,852 CRC incidences and 1,076 deaths from CRC were newly identified. The risk of incident CRC and its mortality increased with the number of abnormal metabolic factors and decreased with healthy lifestyle score (P trend = 0.000). MetS was associated with greater CRC incidence (HR = 1.24, 95% CI: 1.16 - 1.33) and mortality (HR = 1.24, 95% CI: 1.08 - 1.41) when compared with those without MetS. An unfavorable lifestyle was associated with an increased risk (HR = 1.25, 95% CI: 1.15 - 1.36) and mortality (HR = 1.36, 95% CI: 1.16 - 1.59) of CRC across all metabolic health status. Participants adopting an unfavorable lifestyle with MetS had a higher risk (HR = 1.56, 95% CI: 1.38 - 1.76) and mortality (HR = 1.75, 95% CI: 1.40 - 2.20) than those adopting a favorable healthy lifestyle without MetS. Conclusion This study indicated that adherence to a healthy lifestyle could substantially reduce the burden of CRC regardless of the metabolic status. Behavioral lifestyle changes should be encouraged for CRC prevention even in participants with MetS.
Collapse
Affiliation(s)
- Peng Xie
- Digestive Diseases Center, The Seventh Affiliated Hospital, Sun Yat-sen University, Shenzhen, China
- Guangdong Provincial Key Laboratory of Digestive Cancer Research, The Seventh Affiliated Hospital of Sun Yat-sen University, Shenzhen, Guangdong, China
| | - Siqing Wu
- School of Medicine, Sun Yat-sen University, Shenzhen, China
| | - Zichong Kuo
- Digestive Diseases Center, The Seventh Affiliated Hospital, Sun Yat-sen University, Shenzhen, China
- Guangdong Provincial Key Laboratory of Digestive Cancer Research, The Seventh Affiliated Hospital of Sun Yat-sen University, Shenzhen, Guangdong, China
| | - Huidong Tian
- School of Public Health, Guangzhou Medical University, Guangzhou, China
| | - Qiangsheng He
- Clinical Research Center, Big Data Center, The Seventh Affiliated Hospital, Sun Yat-sen University, Shenzhen, Guangdong, China
| | - Yanfei Li
- Evidence Based Social Science Research Center, School of Public Health, Lanzhou University, Lanzhou, China
| | - Ningning Mi
- The First School of Clinical Medicine, Lanzhou University, Lanzhou, Gansu, China
- Department of General Surgery, The First Hospital of Lanzhou University, Lanzhou, Gansu, China
| | - Linmin Hu
- School of Public Health, Sun Yat-sen University, Shenzhen, China
| | - Haitong Zhao
- Evidence Based Social Science Research Center, School of Public Health, Lanzhou University, Lanzhou, China
| | - Wenjing Li
- Clinical Research Center, Big Data Center, The Seventh Affiliated Hospital, Sun Yat-sen University, Shenzhen, Guangdong, China
| | - Bin Xia
- Clinical Research Center, Big Data Center, The Seventh Affiliated Hospital, Sun Yat-sen University, Shenzhen, Guangdong, China
| | - Jinqiu Yuan
- Clinical Research Center, Big Data Center, The Seventh Affiliated Hospital, Sun Yat-sen University, Shenzhen, Guangdong, China
| | - Kehu Yang
- Evidence Based Social Science Research Center, School of Public Health, Lanzhou University, Lanzhou, China
| | - Changhua Zhang
- Digestive Diseases Center, The Seventh Affiliated Hospital, Sun Yat-sen University, Shenzhen, China
- Guangdong Provincial Key Laboratory of Digestive Cancer Research, The Seventh Affiliated Hospital of Sun Yat-sen University, Shenzhen, Guangdong, China
| | - Yulong He
- Digestive Diseases Center, The Seventh Affiliated Hospital, Sun Yat-sen University, Shenzhen, China
- Guangdong Provincial Key Laboratory of Digestive Cancer Research, The Seventh Affiliated Hospital of Sun Yat-sen University, Shenzhen, Guangdong, China
| |
Collapse
|
37
|
He Q, Huang C, Qin X, Yu Y, Tang D, Huang J, Kuo ZC, Ling Y, Mao D, Xia B, Li W, Lu K, Yang M, He Y, Meng W, Yuan J, Pan Y. Confounded association between proton pump inhibitor use and risk of biliary tract cancer: Result from three cohorts. Int J Cancer 2023. [PMID: 37232081 DOI: 10.1002/ijc.34572] [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: 01/18/2023] [Revised: 04/17/2023] [Accepted: 04/27/2023] [Indexed: 05/27/2023]
Abstract
Recent epidemiological studies suggested that proton pump inhibitor (PPI) use was associated with an increased risk of biliary tract cancer (BTC), however, confounders were not adequately controlled. Our study aimed to evaluate PPI use and subsequent risk of BTC and its subtypes in three well-established cohorts. We conducted a pooled analysis of the subjects free of cancers in UK Biobank (n = 463 643), Nurses' Health Study (NHS, n = 80 235) and NHS II (n = 95 869). Propensity score weighted Cox models were used to estimate marginal HRs of PPIs use on BTC risk, accounting for potential confounders. We documented 284 BTC cases in UK Biobank (median follow-up: 7.6 years), and 91 cases in NHS and NHS II cohorts (median follow-up: 15.8 years). In UK biobank, PPI users had a 96% higher risk of BTC compared to nonusers in crude model (HR 1.96, 95% CI 1.44-2.66), but the effect was attenuated to null after adjusting for potential confounders (HR 0.95, 95% CI 0.60-1.49). PPI use was not associated with risk of BTC in the pooled analysis of three cohorts (HR 0.93, 95% CI 0.60-1.43). We also observed no associations between PPI use with risk of intrahepatic (HR 1.00, 95% CI 0.49-2.04), extrahepatic bile duct (HR 1.09, 95% CI 0.52-2.27) and gallbladder cancers (HR 0.66, 95% CI 0.26-1.66) in UK Biobank. In summary, regular use of PPIs was not associated with the risk of BTC and its subtypes.
Collapse
Affiliation(s)
- Qiangsheng He
- Big Data Center, Scientific Research Center, The Seventh Affiliated Hospital, Sun Yat-sen University, Shenzhen, Guangdong, China
- Clinical Research Center, The Seventh Affiliated Hospital, Sun Yat-sen University, Shenzhen, Guangdong, China
- Guangdong Provincial Key Laboratory of Gastroenterology, Center for Digestive Disease, The Seventh Affiliated Hospital, Sun Yat-sen University, Shenzhen, Guangdong, China
| | - Chongfei Huang
- Department of General Surgery, The First Hospital of Lanzhou University, Lanzhou, Gansu, China
| | - Xiwen Qin
- Centre for Medicine Use and Safety, Faculty of Pharmacy and Pharmaceutical Science, Monash University, Melbourne, Australia
- Victorian Heart Institute, Monash University, Melbourne, Australia
- Laboratory of Data Discovery for Health (D24H), The University of Hong Kong, Pokfulam, Hong Kong
| | - Yuanyuan Yu
- Department of surgery, The Chinese University of Hong Kong, Shatin, Hong Kong
| | - Di Tang
- Department of surgery, The Seventh Affiliated Hospital, Sun Yat-sen University, Shenzhen, Guangdong, China
| | - Junjie Huang
- JC School of Public Health and Primary Care, The Chinese University of Hong Kong, Shatin, Hong Kong
| | - Zi Chong Kuo
- Guangdong Provincial Key Laboratory of Gastroenterology, Center for Digestive Disease, The Seventh Affiliated Hospital, Sun Yat-sen University, Shenzhen, Guangdong, China
| | - Yuyao Ling
- School of Clinical Medicine, Sun Yat-sen University, Shenzhen, Guangdong, China
| | - Deli Mao
- Guangdong Provincial Key Laboratory of Gastroenterology, Center for Digestive Disease, The Seventh Affiliated Hospital, Sun Yat-sen University, Shenzhen, Guangdong, China
| | - Bin Xia
- Big Data Center, Scientific Research Center, The Seventh Affiliated Hospital, Sun Yat-sen University, Shenzhen, Guangdong, China
- Clinical Research Center, The Seventh Affiliated Hospital, Sun Yat-sen University, Shenzhen, Guangdong, China
- Guangdong Provincial Key Laboratory of Gastroenterology, Center for Digestive Disease, The Seventh Affiliated Hospital, Sun Yat-sen University, Shenzhen, Guangdong, China
| | - Wenjing Li
- Big Data Center, Scientific Research Center, The Seventh Affiliated Hospital, Sun Yat-sen University, Shenzhen, Guangdong, China
| | - Kuiqing Lu
- Clinical Research Center, The Seventh Affiliated Hospital, Sun Yat-sen University, Shenzhen, Guangdong, China
| | - Man Yang
- Guangdong Provincial Key Laboratory of Gastroenterology, Center for Digestive Disease, The Seventh Affiliated Hospital, Sun Yat-sen University, Shenzhen, Guangdong, China
- Department of General Surgery, The First Hospital of Lanzhou University, Lanzhou, Gansu, China
| | - Yulong He
- Big Data Center, Scientific Research Center, The Seventh Affiliated Hospital, Sun Yat-sen University, Shenzhen, Guangdong, China
- Guangdong Provincial Key Laboratory of Gastroenterology, Center for Digestive Disease, The Seventh Affiliated Hospital, Sun Yat-sen University, Shenzhen, Guangdong, China
| | - Wenbo Meng
- Department of General Surgery, The First Hospital of Lanzhou University, Lanzhou, Gansu, China
| | - Jinqiu Yuan
- Big Data Center, Scientific Research Center, The Seventh Affiliated Hospital, Sun Yat-sen University, Shenzhen, Guangdong, China
- Clinical Research Center, The Seventh Affiliated Hospital, Sun Yat-sen University, Shenzhen, Guangdong, China
- Guangdong Provincial Key Laboratory of Gastroenterology, Center for Digestive Disease, The Seventh Affiliated Hospital, Sun Yat-sen University, Shenzhen, Guangdong, China
| | - Yihang Pan
- Big Data Center, Scientific Research Center, The Seventh Affiliated Hospital, Sun Yat-sen University, Shenzhen, Guangdong, China
- Guangdong Provincial Key Laboratory of Gastroenterology, Center for Digestive Disease, The Seventh Affiliated Hospital, Sun Yat-sen University, Shenzhen, Guangdong, China
| |
Collapse
|
38
|
Pi S, Liu A, Zhu B, Zhu Y, Yuan J, Zhang Z, Gao C, Fu J, Liu Y, Liang X, Xia B, Chen Y. Body composition and risk of liver cancer: a population-based prospective cohort study on gender difference. Front Nutr 2023; 10:1102722. [PMID: 37275645 PMCID: PMC10234331 DOI: 10.3389/fnut.2023.1102722] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [Grants] [Track Full Text] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 11/19/2022] [Accepted: 04/17/2023] [Indexed: 06/07/2023] Open
Abstract
Background Obesity is a common and highly convincing risk factor for many cancers, including liver cancer. Sex disparities in the body composition and regulatory mechanisms involved in energy homeostasis may contribute to the difference in the incidence of cancer. However, evidence on the gender-specific association between body composition and liver cancer incidence is limited. We performed this study to investigate the linear and non-linear associations of body composition with liver cancer risk by gender. Materials and methods This prospective analysis included 4,75,659 participants free of cancer, based on the UK Biobank. We used Cox proportional hazard models to calculate the hazard ratios (HRs) and 95% confidence intervals (CIs) after adjusting for potential confounders. Restricted cubic spline was performed to investigate the potential non-linear associations. Results During a median follow-up, 275 cases (174 male patients and 101 female patients) of liver cancer were identified. Male patients in the highest body fat percentage group are more likely to develop liver cancer (HR = 1.89, 95% CI: 1.17-3.03) compared with those in the lowest group. The one-unit increase of whole-body fat mass, arm fat mass, and trunk fat mass was associated with 1.03-, 1.14-, and 1.05-fold increased risk of liver cancer in male subjects, respectively. U-shaped associations of body composition with liver cancer risk were observed in the female subjects. Both high and low levels of whole-body fat-free mass, particularly in the arm and trunk, were associated with an increased risk of liver cancer. Conclusion This study found a gender-specific association between body composition and liver cancer risk and provided evidence for individualized weight management for the prevention of liver cancer.
Collapse
Affiliation(s)
- Sainan Pi
- Department of Infectious Diseases, The Seventh Affiliated Hospital, Sun Yat-sen University, Shenzhen, Guangdong, China
| | - Anran Liu
- Department of Clinical Nutrition, The Seventh Affiliated Hospital, Sun Yat-sen University, Shenzhen, Guangdong, China
| | - Beibei Zhu
- Endoscopy Center, The First Affiliated Hospital, Jinan University, Guangzhou, Guangdong, China
| | - Yunxiao Zhu
- Health Management Center, The Seventh Affiliated Hospital, Sun Yat-sen University, Shenzhen, China
| | - Jinqiu Yuan
- Clinical Research Center, The Seventh Affiliated Hospital, Sun Yat-sen University, Shenzhen, Guangdong, China
- Big Data Center, The Seventh Affiliated Hospital, Sun Yat-sen University, Shenzhen, Guangdong, China
- Center for Digestive Disease, The Seventh Affiliated Hospital, Sun Yat-sen University, Shenzhen, Guangdong, China
| | - Zheming Zhang
- Clinical Research Center, The Seventh Affiliated Hospital, Sun Yat-sen University, Shenzhen, Guangdong, China
- Big Data Center, The Seventh Affiliated Hospital, Sun Yat-sen University, Shenzhen, Guangdong, China
| | - Chang Gao
- Department of Infectious Diseases, The Seventh Affiliated Hospital, Sun Yat-sen University, Shenzhen, Guangdong, China
| | - Jinxian Fu
- Department of Infectious Diseases, The Seventh Affiliated Hospital, Sun Yat-sen University, Shenzhen, Guangdong, China
| | - Yao Liu
- Department of Infectious Diseases, The Seventh Affiliated Hospital, Sun Yat-sen University, Shenzhen, Guangdong, China
| | - Xujing Liang
- Department of Infectious Diseases, The First Affiliated Hospital, Jinan University, Guangzhou, Guangdong, China
| | - Bin Xia
- Clinical Research Center, The Seventh Affiliated Hospital, Sun Yat-sen University, Shenzhen, Guangdong, China
- Big Data Center, The Seventh Affiliated Hospital, Sun Yat-sen University, Shenzhen, Guangdong, China
- Center for Digestive Disease, The Seventh Affiliated Hospital, Sun Yat-sen University, Shenzhen, Guangdong, China
| | - Youpeng Chen
- Department of Infectious Diseases, The Seventh Affiliated Hospital, Sun Yat-sen University, Shenzhen, Guangdong, China
| |
Collapse
|
39
|
Wang T, Zhou Y, Fan Y, Duan H, Guo X, Chang J, Jiang Y, Li C, Fu Z, Gao Y, Guo X, Sidlauskas K, He Z, Da Costa C, Sheng X, Wu D, Yuan J, Li H, He Y, Mou Y, Li N. PERK-Mediated Cholesterol Excretion from IDH Mutant Glioma Determines Anti-Tumoral Polarization of Microglia. Adv Sci (Weinh) 2023:e2205949. [PMID: 37166058 PMCID: PMC10369258 DOI: 10.1002/advs.202205949] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [Grants] [Subscribe] [Scholar Register] [Received: 10/12/2022] [Revised: 04/12/2023] [Indexed: 05/12/2023]
Abstract
Isocitrate dehydrogenase (IDH) mutation, a known pathologic classifier, initiates metabolic reprogramming in glioma cells and has been linked to the reaction status of glioma-associated microglia/macrophages (GAMs). However, it remains unclear how IDH genotypes contribute to GAM phenotypes. Here, it is demonstrated that gliomas expressing mutant IDH determine M1-like polarization of GAMs, while archetypal IDH induces M2-like polarization. Intriguingly, IDH-mutant gliomas secrete excess cholesterol, resulting in cholesterol-rich, pro-inflammatory GAMs without altering their cholesterol biosynthesis, and simultaneously exhibiting low levels of tumoral cholesterol due to expression remodeling of cholesterol transport molecules, particularly upregulation of ABCA1 and downregulation of LDLR. Mechanistically, a miR-19a/LDLR axis-mediated novel post-transcriptional regulation of cholesterol uptake is identified, modulated by IDH mutation, and influencing tumor cell proliferation and invasion. IDH mutation-induced PERK activation enhances cholesterol export from glioma cells via the miR-19a/LDLR axis and ABCA1/APOE upregulation. Further, a synthetic PERK activator, CCT020312 is introduced, which markedly stimulates cholesterol efflux from IDH wild-type glioma cells, induces M1-like polarization of GAMs, and consequently suppresses glioma cell invasion. The findings reveal an essential role of the PERK/miR-19a/LDLR signaling pathway in orchestrating gliomal cholesterol transport and the subsequent phenotypes of GAMs, thereby highlighting a novel potential target pathway for glioma therapy.
Collapse
Affiliation(s)
- Tao Wang
- Tomas Lindahl Nobel Laureate Laboratory, The Seventh Affiliated Hospital of Sun Yat-sen University, Shenzhen, Guangdong, 518107, China
| | - Yunxia Zhou
- Tomas Lindahl Nobel Laureate Laboratory, The Seventh Affiliated Hospital of Sun Yat-sen University, Shenzhen, Guangdong, 518107, China
| | - Yunping Fan
- Tomas Lindahl Nobel Laureate Laboratory, The Seventh Affiliated Hospital of Sun Yat-sen University, Shenzhen, Guangdong, 518107, China
- Department of Otolaryngology, The Seventh Affiliated Hospital of Sun Yat-sen University, Shenzhen, Guangdong, 518107, China
| | - Hao Duan
- Department of Neurosurgery, State Key Laboratory of Oncology in South China & Collaborative Innovation Center for Cancer Medicine, Sun Yat-sen University Cancer Centre, Guangzhou, Guangdong, 510060, China
| | - Xiaoyu Guo
- Department of Neurosurgery, State Key Laboratory of Oncology in South China & Collaborative Innovation Center for Cancer Medicine, Sun Yat-sen University Cancer Centre, Guangzhou, Guangdong, 510060, China
| | - Jinlong Chang
- Tomas Lindahl Nobel Laureate Laboratory, The Seventh Affiliated Hospital of Sun Yat-sen University, Shenzhen, Guangdong, 518107, China
| | - Youheng Jiang
- Tomas Lindahl Nobel Laureate Laboratory, The Seventh Affiliated Hospital of Sun Yat-sen University, Shenzhen, Guangdong, 518107, China
| | - Changxue Li
- Tomas Lindahl Nobel Laureate Laboratory, The Seventh Affiliated Hospital of Sun Yat-sen University, Shenzhen, Guangdong, 518107, China
| | - Zhang Fu
- Tomas Lindahl Nobel Laureate Laboratory, The Seventh Affiliated Hospital of Sun Yat-sen University, Shenzhen, Guangdong, 518107, China
| | - Yunfei Gao
- Tomas Lindahl Nobel Laureate Laboratory, The Seventh Affiliated Hospital of Sun Yat-sen University, Shenzhen, Guangdong, 518107, China
- Department of Otolaryngology, The Seventh Affiliated Hospital of Sun Yat-sen University, Shenzhen, Guangdong, 518107, China
| | - Xiaoran Guo
- Tomas Lindahl Nobel Laureate Laboratory, The Seventh Affiliated Hospital of Sun Yat-sen University, Shenzhen, Guangdong, 518107, China
| | - Kastytis Sidlauskas
- Barts Cancer Institute, Queen Mary University of London, London, London, EC1M 6BQ, United Kingdom
| | - Zhenqiang He
- Department of Neurosurgery, State Key Laboratory of Oncology in South China & Collaborative Innovation Center for Cancer Medicine, Sun Yat-sen University Cancer Centre, Guangzhou, Guangdong, 510060, China
| | - Clive Da Costa
- Biological Research Facility, The Francis Crick Institute, London, London, NW1 1AT, United Kingdom
| | - Xia Sheng
- Ministry of Education Key Lab of Environment and Health, School of Public Health, Tongji Medical College, Huazhong University of Science and Technology, Wuhan, Hubei, 430030, China
| | - Dinglan Wu
- Shenzhen Key Laboratory of Viral Oncology, The Clinical Innovation & Research Centre (CIRC), Shenzhen Hospital, Southern Medical University, Shenzhen, Guangdong, 510086, China
| | - Jinqiu Yuan
- Clinical Research Center, Big Data Center, The Seventh Affiliated Hospital of Sun Yat-sen University, Shenzhen, Guangdong, 518107, China
| | - Huiliang Li
- Wolfson Institute for Biomedical Research, Division of Medicine, Faculty of Medical Sciences, University College London, London, London, WC1E, United Kingdom
- China-UK Institute for Frontier Science, Shenzhen, Guangdong, 518000, China
| | - Yulong He
- Tomas Lindahl Nobel Laureate Laboratory, The Seventh Affiliated Hospital of Sun Yat-sen University, Shenzhen, Guangdong, 518107, China
- Guangdong Provincial Key Laboratory of Digestive Cancer Research, The Seventh Affiliated Hospital of Sun Yat-sen University, Shenzhen, Guangdong, 518107, China
| | - Yonggao Mou
- Department of Neurosurgery, State Key Laboratory of Oncology in South China & Collaborative Innovation Center for Cancer Medicine, Sun Yat-sen University Cancer Centre, Guangzhou, Guangdong, 510060, China
| | - Ningning Li
- Tomas Lindahl Nobel Laureate Laboratory, The Seventh Affiliated Hospital of Sun Yat-sen University, Shenzhen, Guangdong, 518107, China
- China-UK Institute for Frontier Science, Shenzhen, Guangdong, 518000, China
| |
Collapse
|
40
|
Lin Y, Yang M, Cao J, Zhang X, Mi N, Yang X, Wang H, Gao L, Bai M, Fu W, Li X, Yue P, Yuan J, Meng W, Leung JW. Saline irrigation for reducing the recurrence of common bile duct stones after lithotripsy: a randomized controlled trial. EClinicalMedicine 2023; 59:101978. [PMID: 37152367 PMCID: PMC10154959 DOI: 10.1016/j.eclinm.2023.101978] [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: 02/05/2023] [Revised: 04/06/2023] [Accepted: 04/11/2023] [Indexed: 05/09/2023] Open
Abstract
Background Mechanical lithotripsy produces stone fragments that are not easily detected by cholangiography and is a potential cause of recurrence of common bile duct stones (CBDS). This study aims to clarify whether 100 ml saline irrigation after mechanical lithotripsy reduces the recurrent rate of CBDS. Methods In this randomized controlled trial performed at the Surgical Endoscopy Center, the First Hospital of Lanzhou University between May 10, 2019, and Dec 31, 2020, patients undergoing endoscopic mechanical lithotripsy were randomly assigned to receive saline irrigation (study group) or no irrigation (control group). The saline irrigation was given 100 ml saline pulse irrigation after cholangiography showed no residual stones. Patients were followed up for at least 24 months after endoscopic stone removal to assess the recurrence of CBDS. This study was registered with ClinicalTrials.gov (NCT03937037). Findings During the median follow-up period of 35.6 months (interquartile range, 26.0-40.7), 43 of the 180 patients had stone recurrence (24%). The frequency of recurrence of CBD stones was 12.22% in the saline irrigation group and 35.56% in the control group, with a difference of 23.33% between the two groups (95% confidence interval [CI], 11.35%-35.32%, p < 0.001). Multivariable Cox proportional hazards analyses showed that constipation (hazard risk [HR] 2.42; 95% CI, 1.22-4.80, p = 0.012), periampullary diverticulum (PAD) (HR 3.06; 95% CI, 1.62-5.79, p < 0.001), and total to direct bilirubin ratio (HR 1.48; 95% CI, 1.21-1.81, p < 0.001) were independent risk factors for the recurrence of CBDS. Saline irrigation was the only preventive factor for the recurrence of CBDS (HR 0.22; 95% CI, 0.11-0.44, p < 0.001). Interpretation For patients with CBDS requiring mechanical lithotripsy, 100 ml saline irrigation effectively reduces the recurrent rate of CBDS after endoscopic stone removal. Funding This work was supported by National Natural Science Foundation of China (32160255); Natural Science Foundation of Gansu Province (22JR5RA898, 20JR10RA676); Science and Technology Planning Project of Chengguan District in Lanzhou (2020JSCX0043).
Collapse
Affiliation(s)
- Yanyan Lin
- The First School of Clinical Medicine, Lanzhou University, Lanzhou, 730030, Gansu, China
- Department of General Surgery, The First Hospital of Lanzhou University, Lanzhou, 730030, Gansu, China
- Gansu Province Key Laboratory of Biological Therapy and Regenerative Medicine Transformation, Lanzhou, 730030, Gansu, China
| | - Man Yang
- Clinical Research Center, Big Data Center, The Seventh Affiliated Hospital, Sun Yat-sen University, Shenzhen, 518107, Guangdong, China
| | - Jie Cao
- The First School of Clinical Medicine, Lanzhou University, Lanzhou, 730030, Gansu, China
- Department of General Surgery, The First Hospital of Lanzhou University, Lanzhou, 730030, Gansu, China
| | - Xianzhuo Zhang
- The First School of Clinical Medicine, Lanzhou University, Lanzhou, 730030, Gansu, China
| | - Ningning Mi
- The First School of Clinical Medicine, Lanzhou University, Lanzhou, 730030, Gansu, China
- Department of General Surgery, The First Hospital of Lanzhou University, Lanzhou, 730030, Gansu, China
| | - Xiao Yang
- The First School of Clinical Medicine, Lanzhou University, Lanzhou, 730030, Gansu, China
| | - Haiping Wang
- The First School of Clinical Medicine, Lanzhou University, Lanzhou, 730030, Gansu, China
- Department of General Surgery, The First Hospital of Lanzhou University, Lanzhou, 730030, Gansu, China
- Gansu Province Key Laboratory of Biological Therapy and Regenerative Medicine Transformation, Lanzhou, 730030, Gansu, China
| | - Long Gao
- The First School of Clinical Medicine, Lanzhou University, Lanzhou, 730030, Gansu, China
- Department of General Surgery, The First Hospital of Lanzhou University, Lanzhou, 730030, Gansu, China
| | - Mingzhen Bai
- The First School of Clinical Medicine, Lanzhou University, Lanzhou, 730030, Gansu, China
- Department of General Surgery, The First Hospital of Lanzhou University, Lanzhou, 730030, Gansu, China
| | - Wenkang Fu
- The First School of Clinical Medicine, Lanzhou University, Lanzhou, 730030, Gansu, China
- Department of General Surgery, The First Hospital of Lanzhou University, Lanzhou, 730030, Gansu, China
| | - Xun Li
- The First School of Clinical Medicine, Lanzhou University, Lanzhou, 730030, Gansu, China
- Department of General Surgery, The First Hospital of Lanzhou University, Lanzhou, 730030, Gansu, China
- Gansu Province Key Laboratory of Biological Therapy and Regenerative Medicine Transformation, Lanzhou, 730030, Gansu, China
| | - Ping Yue
- The First School of Clinical Medicine, Lanzhou University, Lanzhou, 730030, Gansu, China
- Department of General Surgery, The First Hospital of Lanzhou University, Lanzhou, 730030, Gansu, China
- Gansu Province Key Laboratory of Biological Therapy and Regenerative Medicine Transformation, Lanzhou, 730030, Gansu, China
- Corresponding author. The First School of Clinical Medicine, Lanzhou University. Department of General Surgery, The First Hospital of Lanzhou University, Lanzhou, 730030, Gansu, China.
| | - Jinqiu Yuan
- Clinical Research Center, Big Data Center, The Seventh Affiliated Hospital, Sun Yat-sen University, Shenzhen, 518107, Guangdong, China
- Corresponding author.
| | - Wenbo Meng
- The First School of Clinical Medicine, Lanzhou University, Lanzhou, 730030, Gansu, China
- Department of General Surgery, The First Hospital of Lanzhou University, Lanzhou, 730030, Gansu, China
- Gansu Province Key Laboratory of Biological Therapy and Regenerative Medicine Transformation, Lanzhou, 730030, Gansu, China
- Corresponding author. The First School of Clinical Medicine, Lanzhou University. Department of General Surgery, The First Hospital of Lanzhou University, Lanzhou, 730030, Gansu, China.
| | - Joseph W. Leung
- Division of Gastroenterology, UC Davis Medical Center and Sacramento VA Medical Center, Sacramento, 95817, California, USA
| |
Collapse
|
41
|
Yang Z, Wei C, Li X, Yuan J, Gao X, Li B, Zhao Z, Toh S, Yu X, Brayne C, Yang Z, Sha F, Tang J. Association Between Regular Laxative Use and Incident Dementia in UK Biobank Participants. Neurology 2023; 100:e1702-e1711. [PMID: 36813729 PMCID: PMC10115504 DOI: 10.1212/wnl.0000000000207081] [Citation(s) in RCA: 5] [Impact Index Per Article: 5.0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 09/14/2022] [Accepted: 01/06/2023] [Indexed: 02/24/2023] Open
Abstract
BACKGROUND AND OBJECTIVES The use of over-the-counter laxatives is common in the general population. The microbiome-gut-brain axis hypothesis suggests that the use of laxatives could be associated with dementia. We aimed to examine the association between the regular use of laxatives and the incidence of dementia in UK Biobank participants. METHODS This prospective cohort study was based on UK Biobank participants aged 40-69 years without a history of dementia. Regular use of laxatives was defined as self-reported use in most days of the week for the last 4 weeks at baseline (2006-2010). The outcomes were all-cause dementia, Alzheimer disease (AD), and vascular dementia (VD), identified from linked hospital admissions or death registers (up to 2019). Sociodemographic characteristics, lifestyle factors, medical conditions, family history, and regular medication use were adjusted for in the multivariable Cox regression analyses. RESULTS Among the 502,229 participants with a mean age of 56.5 (SD 8.1) years at baseline, 273,251 (54.4%) were female, and 18,235 (3.6%) reported regular use of laxatives. Over a mean follow-up of 9.8 years, 218 (1.3%) participants with regular use of laxatives and 1,969 (0.4%) with no regular use developed all-cause dementia. Multivariable analyses showed that regular use of laxatives was associated with increased risk of all-cause dementia (hazard ratio [HR] 1.51; 95% CI 1.30-1.75) and VD (HR 1.65; 95% CI 1.21-2.27), with no significant association observed for AD (HR 1.05; 95% CI 0.79-1.40). The risk of both all-cause dementia and VD increased with the number of regularly used laxative types (p trend 0.001 and 0.04, respectively). Among the participants who clearly reported that they were using just 1 type of laxative (n = 5,800), only those using osmotic laxatives showed a statistically significantly higher risk of all-cause dementia (HR 1.64; 95% CI 1.20-2.24) and VD (HR 1.97; 95% CI 1.04-3.75). These results remained robust in various subgroup and sensitivity analyses. DISCUSSION Regular use of laxatives was associated with a higher risk of all-cause dementia, particularly in those who used multiple laxative types or osmotic laxative.
Collapse
Affiliation(s)
- Zhirong Yang
- From the Shenzhen Institute of Advanced Technology (Zhirong Yang, C.W., Z.Z., F.S., J.T.), Chinese Academy of Sciences, Guangdong, China; Primary Care Unit (Zhirong Yang), School of Clinical Medicine, University of Cambridge, United Kingdom; Department of Population Medicine (X.L., S.T.), Harvard Medical School & Harvard Pilgrim Health Care Institute, Boston, MA; Center for Digestive Disease (J.Y.), The Seventh Affiliated Hospital, Sun Yat-sen University; Central Laboratory (X.G.), Shenzhen Key Laboratory of Precision Medicine for Hematological Malignancies, Shenzhen University General Hospital; School of Government (B.L.), Shenzhen University, Guangdong; Peking University Sixth Hospital (X.Y.), Peking University Institute of Mental Health, Beijing, China; Cambridge Public Health (C.B.), School of Clinical Medicine, University of Cambridge, United Kingdom; Division of Epidemiology (Zuyao Yang, J.T.), The JC School of Public Health & Primary Care, The Chinese University of Hong Kong; and Clinical Data Center (J.T.), Guangzhou Women and Children's Medical Center, Guangzhou Medical University, Guangdong, China.
| | - Chang Wei
- From the Shenzhen Institute of Advanced Technology (Zhirong Yang, C.W., Z.Z., F.S., J.T.), Chinese Academy of Sciences, Guangdong, China; Primary Care Unit (Zhirong Yang), School of Clinical Medicine, University of Cambridge, United Kingdom; Department of Population Medicine (X.L., S.T.), Harvard Medical School & Harvard Pilgrim Health Care Institute, Boston, MA; Center for Digestive Disease (J.Y.), The Seventh Affiliated Hospital, Sun Yat-sen University; Central Laboratory (X.G.), Shenzhen Key Laboratory of Precision Medicine for Hematological Malignancies, Shenzhen University General Hospital; School of Government (B.L.), Shenzhen University, Guangdong; Peking University Sixth Hospital (X.Y.), Peking University Institute of Mental Health, Beijing, China; Cambridge Public Health (C.B.), School of Clinical Medicine, University of Cambridge, United Kingdom; Division of Epidemiology (Zuyao Yang, J.T.), The JC School of Public Health & Primary Care, The Chinese University of Hong Kong; and Clinical Data Center (J.T.), Guangzhou Women and Children's Medical Center, Guangzhou Medical University, Guangdong, China
| | - Xiaojuan Li
- From the Shenzhen Institute of Advanced Technology (Zhirong Yang, C.W., Z.Z., F.S., J.T.), Chinese Academy of Sciences, Guangdong, China; Primary Care Unit (Zhirong Yang), School of Clinical Medicine, University of Cambridge, United Kingdom; Department of Population Medicine (X.L., S.T.), Harvard Medical School & Harvard Pilgrim Health Care Institute, Boston, MA; Center for Digestive Disease (J.Y.), The Seventh Affiliated Hospital, Sun Yat-sen University; Central Laboratory (X.G.), Shenzhen Key Laboratory of Precision Medicine for Hematological Malignancies, Shenzhen University General Hospital; School of Government (B.L.), Shenzhen University, Guangdong; Peking University Sixth Hospital (X.Y.), Peking University Institute of Mental Health, Beijing, China; Cambridge Public Health (C.B.), School of Clinical Medicine, University of Cambridge, United Kingdom; Division of Epidemiology (Zuyao Yang, J.T.), The JC School of Public Health & Primary Care, The Chinese University of Hong Kong; and Clinical Data Center (J.T.), Guangzhou Women and Children's Medical Center, Guangzhou Medical University, Guangdong, China
| | - Jinqiu Yuan
- From the Shenzhen Institute of Advanced Technology (Zhirong Yang, C.W., Z.Z., F.S., J.T.), Chinese Academy of Sciences, Guangdong, China; Primary Care Unit (Zhirong Yang), School of Clinical Medicine, University of Cambridge, United Kingdom; Department of Population Medicine (X.L., S.T.), Harvard Medical School & Harvard Pilgrim Health Care Institute, Boston, MA; Center for Digestive Disease (J.Y.), The Seventh Affiliated Hospital, Sun Yat-sen University; Central Laboratory (X.G.), Shenzhen Key Laboratory of Precision Medicine for Hematological Malignancies, Shenzhen University General Hospital; School of Government (B.L.), Shenzhen University, Guangdong; Peking University Sixth Hospital (X.Y.), Peking University Institute of Mental Health, Beijing, China; Cambridge Public Health (C.B.), School of Clinical Medicine, University of Cambridge, United Kingdom; Division of Epidemiology (Zuyao Yang, J.T.), The JC School of Public Health & Primary Care, The Chinese University of Hong Kong; and Clinical Data Center (J.T.), Guangzhou Women and Children's Medical Center, Guangzhou Medical University, Guangdong, China
| | - Xuefeng Gao
- From the Shenzhen Institute of Advanced Technology (Zhirong Yang, C.W., Z.Z., F.S., J.T.), Chinese Academy of Sciences, Guangdong, China; Primary Care Unit (Zhirong Yang), School of Clinical Medicine, University of Cambridge, United Kingdom; Department of Population Medicine (X.L., S.T.), Harvard Medical School & Harvard Pilgrim Health Care Institute, Boston, MA; Center for Digestive Disease (J.Y.), The Seventh Affiliated Hospital, Sun Yat-sen University; Central Laboratory (X.G.), Shenzhen Key Laboratory of Precision Medicine for Hematological Malignancies, Shenzhen University General Hospital; School of Government (B.L.), Shenzhen University, Guangdong; Peking University Sixth Hospital (X.Y.), Peking University Institute of Mental Health, Beijing, China; Cambridge Public Health (C.B.), School of Clinical Medicine, University of Cambridge, United Kingdom; Division of Epidemiology (Zuyao Yang, J.T.), The JC School of Public Health & Primary Care, The Chinese University of Hong Kong; and Clinical Data Center (J.T.), Guangzhou Women and Children's Medical Center, Guangzhou Medical University, Guangdong, China
| | - Bingyu Li
- From the Shenzhen Institute of Advanced Technology (Zhirong Yang, C.W., Z.Z., F.S., J.T.), Chinese Academy of Sciences, Guangdong, China; Primary Care Unit (Zhirong Yang), School of Clinical Medicine, University of Cambridge, United Kingdom; Department of Population Medicine (X.L., S.T.), Harvard Medical School & Harvard Pilgrim Health Care Institute, Boston, MA; Center for Digestive Disease (J.Y.), The Seventh Affiliated Hospital, Sun Yat-sen University; Central Laboratory (X.G.), Shenzhen Key Laboratory of Precision Medicine for Hematological Malignancies, Shenzhen University General Hospital; School of Government (B.L.), Shenzhen University, Guangdong; Peking University Sixth Hospital (X.Y.), Peking University Institute of Mental Health, Beijing, China; Cambridge Public Health (C.B.), School of Clinical Medicine, University of Cambridge, United Kingdom; Division of Epidemiology (Zuyao Yang, J.T.), The JC School of Public Health & Primary Care, The Chinese University of Hong Kong; and Clinical Data Center (J.T.), Guangzhou Women and Children's Medical Center, Guangzhou Medical University, Guangdong, China
| | - Ziyi Zhao
- From the Shenzhen Institute of Advanced Technology (Zhirong Yang, C.W., Z.Z., F.S., J.T.), Chinese Academy of Sciences, Guangdong, China; Primary Care Unit (Zhirong Yang), School of Clinical Medicine, University of Cambridge, United Kingdom; Department of Population Medicine (X.L., S.T.), Harvard Medical School & Harvard Pilgrim Health Care Institute, Boston, MA; Center for Digestive Disease (J.Y.), The Seventh Affiliated Hospital, Sun Yat-sen University; Central Laboratory (X.G.), Shenzhen Key Laboratory of Precision Medicine for Hematological Malignancies, Shenzhen University General Hospital; School of Government (B.L.), Shenzhen University, Guangdong; Peking University Sixth Hospital (X.Y.), Peking University Institute of Mental Health, Beijing, China; Cambridge Public Health (C.B.), School of Clinical Medicine, University of Cambridge, United Kingdom; Division of Epidemiology (Zuyao Yang, J.T.), The JC School of Public Health & Primary Care, The Chinese University of Hong Kong; and Clinical Data Center (J.T.), Guangzhou Women and Children's Medical Center, Guangzhou Medical University, Guangdong, China
| | - Sengwee Toh
- From the Shenzhen Institute of Advanced Technology (Zhirong Yang, C.W., Z.Z., F.S., J.T.), Chinese Academy of Sciences, Guangdong, China; Primary Care Unit (Zhirong Yang), School of Clinical Medicine, University of Cambridge, United Kingdom; Department of Population Medicine (X.L., S.T.), Harvard Medical School & Harvard Pilgrim Health Care Institute, Boston, MA; Center for Digestive Disease (J.Y.), The Seventh Affiliated Hospital, Sun Yat-sen University; Central Laboratory (X.G.), Shenzhen Key Laboratory of Precision Medicine for Hematological Malignancies, Shenzhen University General Hospital; School of Government (B.L.), Shenzhen University, Guangdong; Peking University Sixth Hospital (X.Y.), Peking University Institute of Mental Health, Beijing, China; Cambridge Public Health (C.B.), School of Clinical Medicine, University of Cambridge, United Kingdom; Division of Epidemiology (Zuyao Yang, J.T.), The JC School of Public Health & Primary Care, The Chinese University of Hong Kong; and Clinical Data Center (J.T.), Guangzhou Women and Children's Medical Center, Guangzhou Medical University, Guangdong, China
| | - Xin Yu
- From the Shenzhen Institute of Advanced Technology (Zhirong Yang, C.W., Z.Z., F.S., J.T.), Chinese Academy of Sciences, Guangdong, China; Primary Care Unit (Zhirong Yang), School of Clinical Medicine, University of Cambridge, United Kingdom; Department of Population Medicine (X.L., S.T.), Harvard Medical School & Harvard Pilgrim Health Care Institute, Boston, MA; Center for Digestive Disease (J.Y.), The Seventh Affiliated Hospital, Sun Yat-sen University; Central Laboratory (X.G.), Shenzhen Key Laboratory of Precision Medicine for Hematological Malignancies, Shenzhen University General Hospital; School of Government (B.L.), Shenzhen University, Guangdong; Peking University Sixth Hospital (X.Y.), Peking University Institute of Mental Health, Beijing, China; Cambridge Public Health (C.B.), School of Clinical Medicine, University of Cambridge, United Kingdom; Division of Epidemiology (Zuyao Yang, J.T.), The JC School of Public Health & Primary Care, The Chinese University of Hong Kong; and Clinical Data Center (J.T.), Guangzhou Women and Children's Medical Center, Guangzhou Medical University, Guangdong, China
| | - Carol Brayne
- From the Shenzhen Institute of Advanced Technology (Zhirong Yang, C.W., Z.Z., F.S., J.T.), Chinese Academy of Sciences, Guangdong, China; Primary Care Unit (Zhirong Yang), School of Clinical Medicine, University of Cambridge, United Kingdom; Department of Population Medicine (X.L., S.T.), Harvard Medical School & Harvard Pilgrim Health Care Institute, Boston, MA; Center for Digestive Disease (J.Y.), The Seventh Affiliated Hospital, Sun Yat-sen University; Central Laboratory (X.G.), Shenzhen Key Laboratory of Precision Medicine for Hematological Malignancies, Shenzhen University General Hospital; School of Government (B.L.), Shenzhen University, Guangdong; Peking University Sixth Hospital (X.Y.), Peking University Institute of Mental Health, Beijing, China; Cambridge Public Health (C.B.), School of Clinical Medicine, University of Cambridge, United Kingdom; Division of Epidemiology (Zuyao Yang, J.T.), The JC School of Public Health & Primary Care, The Chinese University of Hong Kong; and Clinical Data Center (J.T.), Guangzhou Women and Children's Medical Center, Guangzhou Medical University, Guangdong, China
| | - Zuyao Yang
- From the Shenzhen Institute of Advanced Technology (Zhirong Yang, C.W., Z.Z., F.S., J.T.), Chinese Academy of Sciences, Guangdong, China; Primary Care Unit (Zhirong Yang), School of Clinical Medicine, University of Cambridge, United Kingdom; Department of Population Medicine (X.L., S.T.), Harvard Medical School & Harvard Pilgrim Health Care Institute, Boston, MA; Center for Digestive Disease (J.Y.), The Seventh Affiliated Hospital, Sun Yat-sen University; Central Laboratory (X.G.), Shenzhen Key Laboratory of Precision Medicine for Hematological Malignancies, Shenzhen University General Hospital; School of Government (B.L.), Shenzhen University, Guangdong; Peking University Sixth Hospital (X.Y.), Peking University Institute of Mental Health, Beijing, China; Cambridge Public Health (C.B.), School of Clinical Medicine, University of Cambridge, United Kingdom; Division of Epidemiology (Zuyao Yang, J.T.), The JC School of Public Health & Primary Care, The Chinese University of Hong Kong; and Clinical Data Center (J.T.), Guangzhou Women and Children's Medical Center, Guangzhou Medical University, Guangdong, China.
| | - Feng Sha
- From the Shenzhen Institute of Advanced Technology (Zhirong Yang, C.W., Z.Z., F.S., J.T.), Chinese Academy of Sciences, Guangdong, China; Primary Care Unit (Zhirong Yang), School of Clinical Medicine, University of Cambridge, United Kingdom; Department of Population Medicine (X.L., S.T.), Harvard Medical School & Harvard Pilgrim Health Care Institute, Boston, MA; Center for Digestive Disease (J.Y.), The Seventh Affiliated Hospital, Sun Yat-sen University; Central Laboratory (X.G.), Shenzhen Key Laboratory of Precision Medicine for Hematological Malignancies, Shenzhen University General Hospital; School of Government (B.L.), Shenzhen University, Guangdong; Peking University Sixth Hospital (X.Y.), Peking University Institute of Mental Health, Beijing, China; Cambridge Public Health (C.B.), School of Clinical Medicine, University of Cambridge, United Kingdom; Division of Epidemiology (Zuyao Yang, J.T.), The JC School of Public Health & Primary Care, The Chinese University of Hong Kong; and Clinical Data Center (J.T.), Guangzhou Women and Children's Medical Center, Guangzhou Medical University, Guangdong, China.
| | - Jinling Tang
- From the Shenzhen Institute of Advanced Technology (Zhirong Yang, C.W., Z.Z., F.S., J.T.), Chinese Academy of Sciences, Guangdong, China; Primary Care Unit (Zhirong Yang), School of Clinical Medicine, University of Cambridge, United Kingdom; Department of Population Medicine (X.L., S.T.), Harvard Medical School & Harvard Pilgrim Health Care Institute, Boston, MA; Center for Digestive Disease (J.Y.), The Seventh Affiliated Hospital, Sun Yat-sen University; Central Laboratory (X.G.), Shenzhen Key Laboratory of Precision Medicine for Hematological Malignancies, Shenzhen University General Hospital; School of Government (B.L.), Shenzhen University, Guangdong; Peking University Sixth Hospital (X.Y.), Peking University Institute of Mental Health, Beijing, China; Cambridge Public Health (C.B.), School of Clinical Medicine, University of Cambridge, United Kingdom; Division of Epidemiology (Zuyao Yang, J.T.), The JC School of Public Health & Primary Care, The Chinese University of Hong Kong; and Clinical Data Center (J.T.), Guangzhou Women and Children's Medical Center, Guangzhou Medical University, Guangdong, China
| |
Collapse
|
42
|
Yuan J, Xiao P. [Challenges and countermeasures in the development of artificial intelligence research in ophthalmology]. Zhonghua Yan Ke Za Zhi 2023; 59:245-249. [PMID: 37012586 DOI: 10.3760/cma.j.cn112142-20230221-00061] [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: 04/05/2023]
Abstract
The advent of artificial intelligence (AI) technology has led to revolutionary advancements in the diagnosis and treatment of ophthalmic diseases, introducing a novel AI-assisted diagnostic approach for ophthalmology that is rich in imaging diagnostic technologies. However, as clinical applications continue to evolve, AI research in ophthalmology faces challenges such as the lack of standardized datasets and innovative algorithm models, insufficient cross-modal information fusion, and limited clinical interpretability. In response to the growing demand for AI research in ophthalmology, it is essential to establish ophthalmic data standards and sharing platforms, innovate core algorithms, and develop clinical logic interpretable models for the screening, diagnosis, and prediction of eye diseases. Additionally, the deep integration of cutting-edge technologies such as 5G, virtual reality, and surgical robots would advance the development of ophthalmic intelligent medicine into a new phase.
Collapse
Affiliation(s)
- J Yuan
- Zhongshan Ophthalmic Center, SunYat-sen University, State Key Laboratory of Ophthalmology, Guangdong Provincial Key Laboratory of Ophthalmology and Visual Science, Guangdong Provincial Clinical Research Center for Ocular Diseases, Guangzhou 510060, China
| | - P Xiao
- Zhongshan Ophthalmic Center, SunYat-sen University, State Key Laboratory of Ophthalmology, Guangdong Provincial Key Laboratory of Ophthalmology and Visual Science, Guangdong Provincial Clinical Research Center for Ocular Diseases, Guangzhou 510060, China
| |
Collapse
|
43
|
Zhao H, Feng A, Luo D, Wu H, Zhang G, Zhang L, Yuan J, Lin YF, Li L, Zou H. Altered gut microbiota is associated with different immunologic responses to antiretroviral therapy in HIV-infected men who have sex with men. J Med Virol 2023; 95:e28674. [PMID: 36920170 DOI: 10.1002/jmv.28674] [Citation(s) in RCA: 2] [Impact Index Per Article: 2.0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 12/24/2022] [Revised: 02/24/2023] [Accepted: 03/13/2023] [Indexed: 03/16/2023]
Abstract
BACKGROUND The association between gut microbiota and immunologic non-response among people living with HIV (PLHIV) on antiretroviral therapy (ART) is not well documented. This study aimed to characterize gut microbiota among HIV-infected men who have sex with men (MSM) with different immunologic responses. METHODS We recruited HIV-infected MSM and HIV-uninfected MSM (healthy controls, HC) in Guangzhou, June-October 2021. HIV-infected MSM were grouped into good immunological responders (GIR) (CD4+ T cell count ≥ 350 cells/μL) and poor immunological responders (PIR) (< 350 cells/μL). Blood and stool samples were collected. Microbial translocation in serum was performed using enzyme linked immunosorbent assay (ELISA). Bacterial 16S ribosomal DNA sequencing was performed on stool samples, and microbial metabolites were obtained through gas chromatography-mass spectrometry. RESULTS 56 GIR, 41 PIR and 51 HC were included. Microbial translocation marker soluble cluster of differentiation 14 (sCD14) in both GIR and PIR groups was significantly higher than that in HC. Compared with PIR or HC groups, the genera of Coprococcus, Blautia, Clostridium, and SMB53 were decreased, whereas Megamonas and Megasphaera were more abundant in GIR group. Compared with GIR or PIR groups, Bifidobacterium, Collinsella, Faecalibacterium, Oscillospira, and Roseburia were more abundant, whereas Escherichia was decreased in HC group. The levels of benzenoids, imidazoles, phenylpropanoic acids, phenylpropanoids, and pyridines showed strongly significant correlations between differential genera. CONCLUSIONS This study presented a comprehensive landscape of gut microbiota in PLHIV with different treatment outcomes. Megamonas, Coprococcus and Blautia were the major genera correlated with different immunologic responses in PLHIV. This article is protected by copyright. All rights reserved.
Collapse
Affiliation(s)
- Heping Zhao
- School of Public Health (Shenzhen), Sun Yat-sen University, Shenzhen, China
| | - Anping Feng
- School of Public Health (Shenzhen), Sun Yat-sen University, Shenzhen, China
| | - Dan Luo
- School of Public Health (Shenzhen), Sun Yat-sen University, Shenzhen, China
| | - Hao Wu
- Guangzhou Center for Disease Control and Prevention, Guangzhou, China
| | - Ge Zhang
- Department of Microbial and Biochemical Pharmacy, School of Pharmaceutical Sciences, Sun Yat-sen University, Guangzhou, China
| | - Lin Zhang
- Department of Anesthesia and Intensive Care, The Chinese University of Hong Kong, Hong Kong, PR China.,Department of Medicine and Therapeutics, The Chinese University of Hong Kong, Hong Kong, PR China.,CUHK Shenzhen Research Institute, Shenzhen, PR China
| | - Jinqiu Yuan
- Big Data Center, The Seventh Affiliated Hospital, Sun Yat-sen University, Shenzhen, Guangdong, China.,Clinical Research Center, The Seventh Affiliated Hospital, Sun Yat-sen University, Shenzhen, Guangdong, China.,Guangdong Provincial Key Laboratory of Gastrointestinal Cancers, Center for Digestive Disease, The Seventh Affiliated Hospital, Sun Yat-sen University, Shenzhen, Guangdong, China
| | - Yi-Fan Lin
- School of Public Health (Shenzhen), Sun Yat-sen University, Shenzhen, China
| | - Linghua Li
- Guangzhou Eighth People's Hospital, Guangzhou Medical University, Guangzhou, China
| | - Huachun Zou
- School of Public Health (Shenzhen), Sun Yat-sen University, Shenzhen, China.,Kirby Institute, University of New South Wales, Sydney, Australia
| |
Collapse
|
44
|
Zhang F, Zhou H, Yuan J, Li Q, Diao Y, Sun X, Zhang L, Lin Y, Du L. ®Optimization of the Hydrolysis Reaction Process in the Synthesis of 4‐Aminoantipyrine by Response Surface Methodology and its Kinetics. ChemistrySelect 2023. [DOI: 10.1002/slct.202203492] [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: 03/09/2023]
Affiliation(s)
- Fuyue Zhang
- College of Chemical Engineering Qingdao University of Science and Technology, Qingdao Shandong, SD 532 China
| | - Haoyu Zhou
- College of Chemical Engineering Qingdao University of Science and Technology, Qingdao Shandong, SD 532 China
| | - Jinqiu Yuan
- College of Chemical Engineering Qingdao University of Science and Technology, Qingdao Shandong, SD 532 China
| | - Qinghui Li
- College of Chemical Engineering Qingdao University of Science and Technology, Qingdao Shandong, SD 532 China
| | - Yanwei Diao
- College of Environment and Safety Engineering Qingdao University of Science and Technology, Qingdao Shandong, SD 532 China
| | - Xiaoyan Sun
- College of Chemical Engineering Qingdao University of Science and Technology, Qingdao Shandong, SD 532 China
| | - Liangjie Zhang
- College of Chemical Engineering Qingdao University of Science and Technology, Qingdao Shandong, SD 532 China
| | - Yuhang Lin
- College of Environment and Safety Engineering Qingdao University of Science and Technology, Qingdao Shandong, SD 532 China
| | - Lei Du
- College of Chemical Engineering Qingdao University of Science and Technology, Qingdao Shandong, SD 532 China
| |
Collapse
|
45
|
Cao Y, Xia B, Zhang Z, Hu D, Huang X, Yuan J, Li F. Association of Body Fat Distribution and Risk of Breast Cancer in Pre- and Postmenopausal Women. Obes Facts 2023; 16:356-363. [PMID: 36882014 PMCID: PMC10444009 DOI: 10.1159/000529834] [Citation(s) in RCA: 2] [Impact Index Per Article: 2.0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 08/09/2022] [Accepted: 02/17/2023] [Indexed: 03/09/2023] Open
Abstract
INTRODUCTION Obesity is a risk factor for both the development of and mortality from breast cancer in postmenopausal but not in premenopausal women. However, which part of the fat mass is associated with risk remains unclear, and whether the difference in the risk for breast cancer is associated with discrepancy in the distribution of fat with menstrual status requires further study. METHODS A dataset from the UK Biobank, which included 245,009 female participants and 5,402 females who developed breast cancer during a mean follow-up of 6.6 years, was analyzed. Body fat mass was measured according to bioelectrical impedance at baseline by trained technicians. Age- and multivariable-adjusted hazard ratios and corresponding 95% confidence intervals for associations between body fat distribution and the risk for breast cancer were estimated using Cox proportional-hazards regression. Height, age, education level, ethnicity, index of multiple deprivation, alcohol intake, smoking, physical activity, fruit consumption, age at menarche, age at first birth, number of births, hormone replacement therapy, family history of breast cancer, hysterectomy, and ovariotomy were adjusted for potential confounders. RESULTS Fat distribution differed between pre- and postmenopausal women. After menopause, there was an increase in fat mass in different body segments (arms, legs, and trunk). After age- and multivariable adjustment, fat mass in different segments, BMI, and waist circumference were significantly associated with the risk for breast cancer among postmenopausal but not premenopausal women. CONCLUSION Postmenopausal women exhibited more fat in different body segments, which are associated with increased risk for breast cancer, compared to premenopausal women. Fat mass control throughout the body may be beneficial in mitigating the risk for breast cancer and was not limited to abdominal fat alone among postmenopausal women.
Collapse
Affiliation(s)
- Yang Cao
- Department of Endocrinology, The Seventh Affiliated Hospital, Sun Yat-sen University, Shenzhen, China
| | - Bin Xia
- Clinical Research Center, The Seventh Affiliated Hospital, Sun Yat-sen University, Shenzhen, China
- Scientific Research Center, The Seventh Affiliated Hospital, Sun Yat-sen University, Shenzhen, China
| | - Zhen Zhang
- Department of Endocrinology, The Seventh Affiliated Hospital, Sun Yat-sen University, Shenzhen, China
| | - Dan Hu
- Department of Endocrinology, The Seventh Affiliated Hospital, Sun Yat-sen University, Shenzhen, China
| | - Xinwei Huang
- Department of Endocrinology, The Seventh Affiliated Hospital, Sun Yat-sen University, Shenzhen, China
| | - Jinqiu Yuan
- Clinical Research Center, The Seventh Affiliated Hospital, Sun Yat-sen University, Shenzhen, China
- Scientific Research Center, The Seventh Affiliated Hospital, Sun Yat-sen University, Shenzhen, China
| | - Fangping Li
- Department of Endocrinology, The Seventh Affiliated Hospital, Sun Yat-sen University, Shenzhen, China
| |
Collapse
|
46
|
Chan ATC, Lee VHF, Hong RL, Ahn MJ, Chong WQ, Kim SB, Ho GF, Caguioa PB, Ngamphaiboon N, Ho C, Aziz MASA, Ng QS, Yen CJ, Soparattanapaisarn N, Ngan RKC, Kho SK, Tiambeng MLA, Yun T, Sriuranpong V, Algazi AP, Cheng A, Massarelli E, Swaby RF, Saraf S, Yuan J, Siu LL. Pembrolizumab monotherapy versus chemotherapy in platinum-pretreated, recurrent or metastatic nasopharyngeal cancer (KEYNOTE-122): an open-label, randomized, phase III trial. Ann Oncol 2023; 34:251-261. [PMID: 36535566 DOI: 10.1016/j.annonc.2022.12.007] [Citation(s) in RCA: 18] [Impact Index Per Article: 18.0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 09/01/2022] [Revised: 11/22/2022] [Accepted: 12/12/2022] [Indexed: 12/23/2022] Open
Abstract
BACKGROUND Pembrolizumab previously demonstrated robust antitumor activity and manageable safety in a phase Ib study of patients with heavily pretreated, programmed death ligand 1 (PD-L1)-positive, recurrent or metastatic nasopharyngeal carcinoma (NPC). The phase III KEYNOTE-122 study was conducted to further evaluate pembrolizumab versus chemotherapy in patients with platinum-pretreated, recurrent and/or metastatic NPC. Final analysis results are presented. PATIENTS AND METHODS KEYNOTE-122 was an open-label, randomized study conducted at 29 sites, globally. Participants with platinum-pretreated recurrent and/or metastatic NPC were randomly assigned (1 : 1) to pembrolizumab or chemotherapy with capecitabine, gemcitabine, or docetaxel. Randomization was stratified by liver metastasis (present versus absent). The primary endpoint was overall survival (OS), analyzed in the intention-to-treat population using the stratified log-rank test (superiority threshold, one-sided P = 0.0187). Safety was assessed in the as-treated population. RESULTS Between 5 May 2016 and 28 May 2018, 233 participants were randomly assigned to treatment (pembrolizumab, n = 117; chemotherapy, n = 116); Most participants (86.7%) received study treatment in the second-line or later setting. Median time from randomization to data cut-off (30 November 2020) was 45.1 months (interquartile range, 39.0-48.8 months). Median OS was 17.2 months [95% confidence interval (CI) 11.7-22.9 months] with pembrolizumab and 15.3 months (95% CI 10.9-18.1 months) with chemotherapy [hazard ratio, 0.90 (95% CI 0.67-1.19; P = 0.2262)]. Grade 3-5 treatment-related adverse events occurred in 12 of 116 participants (10.3%) with pembrolizumab and 49 of 112 participants (43.8%) with chemotherapy. Three treatment-related deaths occurred: 1 participant (0.9%) with pembrolizumab (pneumonitis) and 2 (1.8%) with chemotherapy (pneumonia, intracranial hemorrhage). CONCLUSION Pembrolizumab did not significantly improve OS compared with chemotherapy in participants with platinum-pretreated recurrent and/or metastatic NPC but did have manageable safety and a lower incidence of treatment-related adverse events.
Collapse
Affiliation(s)
- A T C Chan
- State Key Laboratory in Translational Oncology, Sir YK Pao Centre for Cancer, The Chinese University of Hong Kong, Hong Kong, China.
| | - V H F Lee
- Department of Clinical Oncology, The University of Hong Kong, Hong Kong, China
| | - R-L Hong
- National Taiwan University Hospital, Taipei, Taiwan
| | - M-J Ahn
- Samsung Medical Centre, Seoul, South Korea
| | - W Q Chong
- National University Cancer Institute, Singapore, Singapore
| | - S-B Kim
- Asan Medical Centre, University of Ulsan College of Medicine, Seoul, South Korea
| | - G F Ho
- Clinical Oncology, Faculty of Medicine, University Malaya, Kuala Lumpur, Malaysia
| | - P B Caguioa
- St. Luke's Medical Center, University of Santo Tomas Faculty of Medicine and Surgery, Manila, Philippines
| | - N Ngamphaiboon
- Ramathibodi Hospital, Mahidol University, Bangkok, Thailand
| | - C Ho
- BC Cancer, University of British Columbia, Vancouver, Canada
| | - M A S A Aziz
- Gleneagles Penang Clinical Research Center, Gleneagles Hospital Penang, Penang, Malaysia
| | - Q S Ng
- National Cancer Centre Singapore, Singapore, Singapore
| | - C-J Yen
- National Cheng Kung University Hospital, College of Medicine, National Cheng Kung University, Tainan, Taiwan
| | | | - R K-C Ngan
- Queen Elizabeth Hospital, Kowloon, Hong Kong, China
| | - S K Kho
- Hospital Umum Sarawak, Kuching, Malaysia
| | - M L A Tiambeng
- Cardinal Santos Medical Center, San Juan City, Philippines
| | - T Yun
- National Cancer Center, Goyang-si, South Korea
| | - V Sriuranpong
- Chulalongkorn University and the King Chulalongkorn Memorial Hospital, Bangkok, Thailand
| | | | - A Cheng
- Princess Margaret Hospital, Hong Kong, China
| | - E Massarelli
- City of Hope Comprehensive Cancer Center, Duarte, USA
| | | | - S Saraf
- Merck & Co., Inc., Rahway, USA
| | - J Yuan
- Merck & Co., Inc., Rahway, USA
| | - L L Siu
- Princess Margaret Cancer Centre, University of Toronto, Toronto, Canada
| |
Collapse
|
47
|
Li CY, He QQ, Li XL, Yuan J, Zhuang DY, Zhou P, Yue T, Liu YX, Shao CX, Xu J. [A retrospective comparative study between robotic thyroidectomy through transoral vestibular approach and bilateral breast-axillary approach]. Zhonghua Wai Ke Za Zhi 2023; 61:227-231. [PMID: 36650969 DOI: 10.3760/cma.j.cn112139-20220810-00348] [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: 01/19/2023]
Abstract
Objective: To compare the surgical outcome of robotic thyroidectomy through transoral approach and the bilateral breast-axillary approach. Methods: Retrospective analysis was made on the clinical data of patients who performed transoral robotic thyroidectomy (TORT group) or bilateral breast-axillary approach (BABA group) in the Department of Thyroid and Breast Surgery, the 960th Hospital of People's Liberation Army from July 2020 to May 2022. Both groups received lobectomy with lymph node dissection of the central region. A total of 100 cases were included in the study, including 48 cases in the TORT group and 52 cases in the BABA group. The propensity score matching method was used for 1∶1 matching of patients between the 2 groups, with a match tolerance of 0.03. There were 31 patients in each group successfully matched. In the TORT group, there were 5 males and 26 females, aged (33.2±7.9) years (range: 21 to 53 years). While there were 4 males and 27 females in the BABA group, aged (34.6±9.2) years (range: 19 to 58 years). The t test, Mann-Whitney U test, χ2 test or Fisher exact test were used to compare the clinical efficacy between the two groups. Results: All the patients successfully completed robotic thyroid surgery without conversion to open surgery. Compared with BABA group, the TORT group had longer operation time ((211.3±57.2) minutes vs. (126.2±37.8) minutes, t=6.915, P<0.01), shorter drainage tube retention time ((5.4±1.0) days vs. (6.4±1.2) days, t=-3.544, P=0.001), shorter total hospital stay ((6.6±1.2) days vs. (7.4±1.3) days, t=-2.353, P=0.022), and higher cosmetic score (9.46±0.25 vs. 9.27±0.26, t=2.925, P=0.005). There was no significant difference between the two groups in the number of lymph nodes dissection, metastasis in the central compartment, and the incidence of postoperative complications (all P>0.05). Conclusions: Compared with the bilateral breast-axillary approach, the transoral vestibular approach of robotic thyroidectomy is also safe and effective. It shows similar surgical results to the bilateral breast-axillary approach in strictly selected patients, but the postoperative recovery speed is much faster, and the hospital stay is shorter. Transoral robotic thyroidectomy is a more recommended surgical method for patients with high aesthetic demand.
Collapse
Affiliation(s)
- C Y Li
- Department of Thyroid and Breast Surgery, the 960th Hospital of People's Liberation Army, Jinan 250031, China
| | - Q Q He
- Department of Thyroid and Breast Surgery, the 960th Hospital of People's Liberation Army, Jinan 250031, China
| | - X L Li
- Department of Thyroid and Breast Surgery, the 960th Hospital of People's Liberation Army, Jinan 250031, China
| | - J Yuan
- Department of Information, the 960th Hospital of People's Liberation Army, Jinan 250031, China
| | - D Y Zhuang
- Department of Thyroid and Breast Surgery, the 960th Hospital of People's Liberation Army, Jinan 250031, China
| | - P Zhou
- Department of Thyroid and Breast Surgery, the 960th Hospital of People's Liberation Army, Jinan 250031, China
| | - T Yue
- Department of Thyroid and Breast Surgery, the 960th Hospital of People's Liberation Army, Jinan 250031, China
| | - Y X Liu
- Department of Thyroid and Breast Surgery, the 960th Hospital of People's Liberation Army, Jinan 250031, China
| | - C X Shao
- Department of Thyroid and Breast Surgery, the 960th Hospital of People's Liberation Army, Jinan 250031, China
| | - J Xu
- Department of Thyroid and Breast Surgery, the 960th Hospital of People's Liberation Army, Jinan 250031, China
| |
Collapse
|
48
|
Da JJ, Sun Y, Chen JC, Li Q, Yang YQ, He S, Yang NY, He PH, Hu Y, Long YJ, Yuan J, Zha Y. [Effect of hemoperfusion on protein energy wasting and long-term prognosis in patients on maintenance hemodialysis]. Zhonghua Yi Xue Za Zhi 2023; 103:559-565. [PMID: 36822866 DOI: 10.3760/cma.j.cn112137-20220925-02022] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Subscribe] [Scholar Register] [Indexed: 02/25/2023]
Abstract
Objective: To explore the effect of hemoperfusion (HP) combined with hemodialysis (HD) (HD+HP) on protein energy wasting (PEW) and long-term prognosis in patients on maintenance HD (MHD). Methods: A prospective multicenter cohort study was conducted. Adult MHD patients who completed PEW assessment and underwent regular dialysis between July 2015 and July 2021 at 23 hemodialysis centers in Guizhou Province were selected. Demographic characteristics, physical indicators, laboratory indicators, 3-day diet diary and HP treatment data of the subjects were collected. The patients were divided into different groups according to the presence or absence of HP, the frequency of HP treatment and the type of cartridge, and then relevant indicators were compared. Multivariate logistic regression model and Cox proportional regression model were used to analyze the influence of HP treatment on PEW risk in MHD patients. Meanwhile, Kaplan-Meier method was used to plot the survival curve. Results: A total of 4 623 MHD patients (2 789 males and 1 834 females) aged (53.7±15.9) years were included in the study, with a median dialysis age of 64.3 (44.3, 92.3) months. There were 3 429 (74.2%) MHD patients treated with HD+HP, and 1 194 patients (25.8%) were not treated with HP. According to the 2008 diagnostic criteria of the International Society for Renal Nutrition and Metabolism (ISRNM), the incidence of PEW was 26.0% (1 204/4 623). Multivariate logistic regression analysis showed that female (OR=2.48, 95%CI: 1.55-3.95, P<0.001), diabetes (OR=1.75, 95%CI: 1.08-2.83, P=0.024) and high-sensitivity C-reactive protein (hs-CRP) (OR=1.02, 95%CI: 1.01-1.03, P=0.003) were risk factors for PEW, while treatment with HD+HP (OR=0.51, 95%CI: 0.31-0.87, P=0.012) and elevated triglyceride levels (OR=0.62, 95%CI: 0.48-0.80, P<0.001) were protective factors. Cox hazard ratio regression showed that among different HP treatment frequencies and cartridge types, 2 times/month (HR=0.40, 95%CI: 0.17-0.95, P=0.037), 3 times/month (HR=0.44, 95%CI: 0.23-0.85, P=0.014), 4 times/month (HR=0.54, 95%CI: 0.34-0.85, P=0.008), HA130 (HR=0.57, 95%CI: 0.36-0.89, P=0.014) and HA230 (HR=0.30, 95%CI: 0.15-0.63, P=0.001) had protective effects on the occurrence of PEW in MHD patients. The all-cause mortality rate was 11.3% (521/4 623) at 33 (24, 48) months of follow-up. Kaplan-Meier analysis showed that patients undergoing 4 times/month HP treatment (χ2=36.78, P<0.001) and using HA230 (χ2=9.46, P=0.002) had the highest survival rate. Conclusion: Treatment with HD+HP is a protective factor for PEW in patients with MHD, and 4 times/month HP treatment or HA230 significantly reduces the risk of PEW and all-cause mortality in patients with MHD.
Collapse
Affiliation(s)
- J J Da
- Department of Nephrology, Guizhou Provincial People's Hospital, NHC Key Laboratory of Pulmonary Immunological Diseases, Guiyang 550002, China
| | - Y Sun
- Department of Nephrology, General Hospital of Shougang Shuicheng Iron & Steel (Group) Co. Ltd, Liupanshui 553000, China
| | - J C Chen
- Department of Nephrology, General Hospital of Guizhou Water Mine Holding Group Co. Ltd, Liupanshui 553000, China
| | - Q Li
- Department of Nephrology, Guizhou Provincial People's Hospital, NHC Key Laboratory of Pulmonary Immunological Diseases, Guiyang 550002, China
| | - Y Q Yang
- Department of Nephrology, Guizhou Provincial People's Hospital, NHC Key Laboratory of Pulmonary Immunological Diseases, Guiyang 550002, China
| | - S He
- Department of Nephrology, Guizhou Provincial People's Hospital, NHC Key Laboratory of Pulmonary Immunological Diseases, Guiyang 550002, China
| | - N Y Yang
- Department of Nephrology, Guizhou Provincial People's Hospital, NHC Key Laboratory of Pulmonary Immunological Diseases, Guiyang 550002, China
| | - P H He
- Department of Nephrology, Guizhou Provincial People's Hospital, NHC Key Laboratory of Pulmonary Immunological Diseases, Guiyang 550002, China
| | - Y Hu
- Department of Nephrology, Guizhou Provincial People's Hospital, NHC Key Laboratory of Pulmonary Immunological Diseases, Guiyang 550002, China
| | - Y J Long
- Department of Nephrology, Guizhou Provincial People's Hospital, NHC Key Laboratory of Pulmonary Immunological Diseases, Guiyang 550002, China
| | - J Yuan
- Department of Nephrology, Guizhou Provincial People's Hospital, NHC Key Laboratory of Pulmonary Immunological Diseases, Guiyang 550002, China
| | - Y Zha
- Department of Nephrology, Guizhou Provincial People's Hospital, NHC Key Laboratory of Pulmonary Immunological Diseases, Guiyang 550002, China
| |
Collapse
|
49
|
Long M, Jiang Y, Yang C, Xu Z, Zhang R, Yuan J, Zhang S, Zhang M, Wu H, Jiang Z. In-situ assembly of polyelectrolyte via surface segregation of titanium oxide for antifouling membranes. Sep Purif Technol 2023. [DOI: 10.1016/j.seppur.2022.122743] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/26/2022]
|
50
|
Yuan J, Han GH. [Excerpt from the 2022 American Association for the Study of Liver Diseases clinical practice guideline: management of primary sclerosing cholangitis and cholangiocarcinoma]. Zhonghua Gan Zang Bing Za Zhi 2023; 31:35-41. [PMID: 36948847 DOI: 10.3760/cma.j.cn501113-20221226-00612] [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
What are the new contents of the guideline since 2010?A.Patients with primary and non-primary sclerosing cholangitis (PSC) are included in these guidelines for the diagnosis and management of cholangiocarcinoma.B.Define "related stricture" as any biliary or hepatic duct stricture accompanied by the signs or symptoms of obstructive cholestasis and/or bacterial cholangitis.C.Patients who have had an inconclusive report from MRI and cholangiopancreatography should be reexamined by high-quality MRI/cholangiopancreatography for diagnostic purposes. Endoscopic retrograde cholangiopancreatography should be avoided for the diagnosis of PSC.D. Patients with PSC and unknown inflammatory bowel disease (IBD) should undergo diagnostic colonoscopic histological sampling, with follow-up examination every five years until IBD is detected.E. PSC patients with IBD should begin colon cancer monitoring at 15 years of age.F. Individual incidence rates should be interpreted with caution when using the new clinical risk tool for PSC for risk stratification.G. All patients with PSC should be considered for clinical trials; however, if ursodeoxycholic acid (13-23 mg/kg/day) is well tolerated and after 12 months of treatment, alkaline phosphatase (γ- Glutamyltransferase in children) and/or symptoms are significantly improved, it can be considered to continue to be used.H. Endoscopic retrograde cholangiopancreatography with cholangiocytology brushing and fluorescence in situ hybridization analysis should be performed on all patients suspected of having hilar or distal cholangiocarcinoma.I.Patients with PSC and recurrent cholangitis are now included in the new unified network organ sharing policy for the end-stage liver disease model standard.J. Liver transplantation is recommended after neoadjuvant therapy for patients with unresectable hilar cholangiocarcinoma with diameter < 3 cm or combined with PSC and no intrahepatic (extrahepatic) metastases.
Collapse
Affiliation(s)
- J Yuan
- Department of Digestive and Interventional Vascular Surgery, Xi'an International Medical Center Hospital, Xi'an 710100, China
| | - G H Han
- Department of Digestive and Interventional Vascular Surgery, Xi'an International Medical Center Hospital, Xi'an 710100, China
| |
Collapse
|