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Xu X, Gao J, Sun J, Liu R, Chen W. The role of metabolic factors in the association between obesity and cholelithiasis: A two-step, two-sample multivariable mendelian randomization study. Clinics (Sao Paulo) 2024; 79:100520. [PMID: 39427492 DOI: 10.1016/j.clinsp.2024.100520] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 08/30/2023] [Revised: 07/16/2024] [Accepted: 09/16/2024] [Indexed: 10/22/2024] Open
Abstract
BACKGROUND AND PURPOSE The extent to which the effects of BMI on cholelithiasis are mediated by metabolic factors (including blood pressure, blood lipids, body mass, and fasting blood glucose) is unclear. Therefore, in this study, the authors used genetic evidence to test the effects of these characteristics. METHODS Summary-level data for exposures and main outcomes were extracted from GWAS consortia. The authors used a two-step, two-sample Multivariable Mendelian Randomization (MVMR) analysis to illustrate the effect of BMI on cholelithiasis and a stepwise test method to quantify the possible mediating effects of cardiometabolic factors on cholelithiasis. RESULTS For each one-unit logarithmic increase in body mass index, the risk of cholelithiasis increased by 98 % (Odds Ratio [OR = 1.98], 95 % CI: 1.73 %‒2.28 %). After mediation analysis, the authors found that high-density lipoprotein and triglycerides were the main mediating factors, while the mediating effects of other metabolic factors were not significant. The total effect ratios of HDL and TG on cholelithiasis were 7.3 % (95 % CI: 8.51 %‒12.85 %) and 3.5 % (95 % CI: 3.59 %‒6.50 %), respectively. HDL and TG played a significant role in regulating cholelithiasis, but there was no evidence to show the regulatory effect of LDL on cholelithiasis. The total effects of BMI and triglycerides on cholelithiasis were 10.7 % and 5.0 %, respectively. CONCLUSION The authors found that among the metabolic factors evaluated, the decrease of HDL and the increase of TG mediated a high proportion of the effect of BMI on cholelithiasis. Therefore, intervention with these factors may reduce the increased risk of cholelithiasis in patients with high BMI.
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Affiliation(s)
- Xiangrong Xu
- Department of General Surgery, Kunshan Hospital Affiliated to Jiangsu University, Kunshan, PR China
| | - Jiawei Gao
- Department of General Surgery, Second Affiliated Hospital of Soochow University, Suzhou, PR China
| | - Jun Sun
- Department of General Surgery, Kunshan Hospital Affiliated to Jiangsu University, Kunshan, PR China
| | - Ruiwen Liu
- Department of General Surgery, Kunshan Hospital Affiliated to Jiangsu University, Kunshan, PR China.
| | - Wei Chen
- Department of General Surgery, Second Affiliated Hospital of Soochow University, Suzhou, PR China
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Yang T, Zhong J, Zhang R, Xiao F, Wang Y, Tao H, Hong F. Different types and numbers metabolic abnormalities and risk of gallbladder stone disease in adults. Front Nutr 2024; 11:1443575. [PMID: 39315007 PMCID: PMC11416965 DOI: 10.3389/fnut.2024.1443575] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Grants] [Track Full Text] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 06/08/2024] [Accepted: 08/27/2024] [Indexed: 09/25/2024] Open
Abstract
Background Metabolic abnormalities in the body increase the risk of gallbladder stones and their complications, which brings a great economic and social burden. The relationship between different types and amounts of metabolic abnormalities and gallstone risk in different sexes is poorly documented and controversial. Methods Based on the baseline survey data of the Chinese Multi-Ethnic Cohort (CMEC) study, 4,075 Chinese adults aged 30-79 years with complete abdominal ultrasound results and metabolic index data. Logistic regression model was used to evaluate the correlation between five metabolic abnormalities and gallstones, and to explore the gender difference. Results The detection rate of gallbladder stones was found to be 7.0%, with a higher rate in women (8.6%) than in men (4.1%). Logistic results showed adjustment odds ratio (ORs) and 95% confidence interval (95% CI) of dysglycemia + hypertension + central obesity in 3 metabolic combinations was 4.459 (1.653, 12.029). The four metabolic combinations, dysglycemia + dyslipidemia + hypertension + central obesity, dysglycemia + dyslipidemia + hypertension + abnormal blood uric acid and dysglycemia + dyslipidemia + central obesity + abnormal blood uric acid adjusted OR and 95%CI were 3.342 (1.459, 7.659), 5.439 (1.555, 19.018) and 2.971 (1.187, 7.435), respectively. Gender-stratified analysis found that "any three or more metabolic abnormalities and their components were associated with gallstone risk, more significantly in women. Conclusion Different types and amounts of five metabolic abnormalities were associated with the risk of gallstone development, and the differences were more significant in women than men.
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Affiliation(s)
| | | | | | | | | | | | - Feng Hong
- School of Public Health, the Key Laboratory of Environmental Pollution Monitoring and Disease Control, Ministry of Education, Guizhou Medical University, Guiyang, China
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Wang X, Yu W, Jiang G, Li H, Li S, Xie L, Bai X, Cui P, Chen Q, Lou Y, Zou L, Li S, Zhou Z, Zhang C, Sun P, Mao M. Global Epidemiology of Gallstones in the 21st Century: A Systematic Review and Meta-Analysis. Clin Gastroenterol Hepatol 2024; 22:1586-1595. [PMID: 38382725 DOI: 10.1016/j.cgh.2024.01.051] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 08/12/2023] [Revised: 01/21/2024] [Accepted: 01/23/2024] [Indexed: 02/23/2024]
Abstract
BACKGROUND & AIMS Gallstones are common and associated with substantial health and economic burden. We aimed to comprehensively evaluate the prevalence and incidence of gallstones in the 21st century. METHODS We systematically searched PubMed and Embase to identify studies reporting the prevalence and/or incidence of gallstones between January 1, 2000, and November 18, 2023. Pooled prevalence and incidence were calculated using DerSimonian and Laird's random-effects model. We performed subgroup analyses and meta-regression based on age, sex, geographic location, population setting, and modality of detection to examine sources of heterogeneity. RESULTS Based on 115 studies with 32,610,568 participants, the pooled prevalence of gallstones was 6.1% (95% CI, 5.6-6.5). Prevalence was higher in females vs males (7.6% vs 5.4%), in South America vs Asia (11.2% vs 5.1%), in upper-middle-income countries vs high-income countries (8.9% vs 4.0%), and with advancing age. On sensitivity analysis of population-based studies, the prevalence of gallstones was 5.5% (95% CI, 4.1-7.4; n = 44 studies), and when limiting subgroup analysis to imaging-based detection modalities, the prevalence was 6.7% (95% CI, 6.1-7.3; n = 101 studies). Prevalence has been stable over the past 20 years. Based on 12 studies, the incidence of gallstones was 0.47 per 100 person-years (95% CI, 0.37-0.51), without differences between males and females, and with increasing incidence in more recent studies. CONCLUSIONS Globally, 6% of the population have gallstones, with higher rates in females and in South America. The incidence of gallstones may be increasing. Our findings call for prioritizing research on the prevention of gallstones.
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Affiliation(s)
- Xin Wang
- Department of Epidemiology and Biostatistics, West China School of Public Health, West China Fourth Hospital, Sichuan University, Wuhou District, Chengdu, China; West China-PUMC C.C. Chen Institute of Health, West China School of Public Health, West China Fourth Hospital, Sichuan University, Wuhou District, Chengdu, China
| | - Wenqian Yu
- Department of Epidemiology and Biostatistics, West China School of Public Health, West China Fourth Hospital, Sichuan University, Wuhou District, Chengdu, China; West China-PUMC C.C. Chen Institute of Health, West China School of Public Health, West China Fourth Hospital, Sichuan University, Wuhou District, Chengdu, China
| | - Guoheng Jiang
- Department of Epidemiology and Biostatistics, West China School of Public Health, West China Fourth Hospital, Sichuan University, Wuhou District, Chengdu, China; West China-PUMC C.C. Chen Institute of Health, West China School of Public Health, West China Fourth Hospital, Sichuan University, Wuhou District, Chengdu, China
| | - Hongyu Li
- Department of Epidemiology and Biostatistics, West China School of Public Health, West China Fourth Hospital, Sichuan University, Wuhou District, Chengdu, China; West China-PUMC C.C. Chen Institute of Health, West China School of Public Health, West China Fourth Hospital, Sichuan University, Wuhou District, Chengdu, China
| | - Shiyi Li
- Department of Epidemiology and Biostatistics, West China School of Public Health, West China Fourth Hospital, Sichuan University, Wuhou District, Chengdu, China; West China-PUMC C.C. Chen Institute of Health, West China School of Public Health, West China Fourth Hospital, Sichuan University, Wuhou District, Chengdu, China
| | - Linjun Xie
- Department of Epidemiology and Biostatistics, West China School of Public Health, West China Fourth Hospital, Sichuan University, Wuhou District, Chengdu, China; West China-PUMC C.C. Chen Institute of Health, West China School of Public Health, West China Fourth Hospital, Sichuan University, Wuhou District, Chengdu, China
| | - Xuan Bai
- Department of Epidemiology and Biostatistics, West China School of Public Health, West China Fourth Hospital, Sichuan University, Wuhou District, Chengdu, China; West China-PUMC C.C. Chen Institute of Health, West China School of Public Health, West China Fourth Hospital, Sichuan University, Wuhou District, Chengdu, China
| | - Ping Cui
- Department of Public Health, Jining Medical University, Jining, China
| | - Qi Chen
- Department of Endocrinology and Metabolism, The Affiliated Hospital of Southwest Medical University, Luzhou, China
| | - Yanmei Lou
- Department of Health Management, Beijing Xiaotangshan Hospital, Beijing, China
| | - Li Zou
- Department of Nursing, Luzhou People's Hospital, Luzhou, China
| | - Sulian Li
- Department of Nursing, The Affiliated Traditional Chinese Medicine Hospital of Southwest Medical University, Luzhou, China
| | - Zhongfang Zhou
- Preventive Medical of TCM & Physical Examination Center of The Affiliated Traditional Chinese Medicine Hospital of Southwest Medical University, Luzhou, China
| | - Chi Zhang
- Department of Prevention, Tianjin Medical University Cancer Institute and Hospital, National Clinical Research Center for Cancer, Key Laboratory of Cancer Prevention and Therapy, Tianjin's Clinical Research Center for Cancer, Tianjin, China
| | - Peng Sun
- Department of Gastrointestinal Surgery, National Cancer Center/National Clinical Research Center for Cancer/Cancer Hospital, Shenzhen Hospital, Chinese Academy of Medical Sciences, Peking Union Medical College, Shenzhen, China
| | - Min Mao
- The Joint Laboratory for Lung Development and Related Diseases of West China Second University Hospital, Sichuan University, School of Life Sciences of Fudan University, West China Institute of Women and Children's Health, West China Second University Hospital, Sichuan University, Chengdu, China.
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Yan P, Zhang L, Yang C, Zhang W, Wang Y, Zhang M, Cui H, Tang M, Chen L, Wu X, Zhao X, Zou Y, Xiao J, Liu Y, Xiao C, Yang Y, Zhang L, Yao Y, Li J, Liu Z, Yang C, Jiang X, Zhang B. Observational and genetic analyses clarify the relationship between type 2 diabetes mellitus and gallstone disease. Front Endocrinol (Lausanne) 2024; 14:1337071. [PMID: 38356679 PMCID: PMC10864641 DOI: 10.3389/fendo.2023.1337071] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Figures] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 11/12/2023] [Accepted: 12/26/2023] [Indexed: 02/16/2024] Open
Abstract
Background The relationship between type 2 diabetes mellitus (T2DM) and gallstone disease (GSD) have been incompletely understood. We aimed to investigate their phenotypic and genetic associations and evaluate the biological mechanisms underlying these associations. Methods We first evaluated the phenotypic association between T2DM and GSD using data from the UK Biobank (n>450,000) using a prospective observational design. We then conducted genetic analyses using summary statistics from a meta-analysis of genome-wide association studies of T2DM, with and without adjusting for body mass index (BMI) (Ncase=74,124, Ncontrol=824,006; T2DMadjBMI: Ncase=50,409, Ncontrol=523,897) and GSD (Ncase=43,639, Ncontrol=506,798). Results A unidirectional phenotypic association was observed, where individuals with T2DM exhibited a higher GSD risk (hazard ratio (HR)=1.39, P<0.001), but not in the reverse direction (GSD→T2DM: HR=1.00, P=0.912). The positive T2DM-GSD genetic correlation (rg=0.35, P=7.71×10-23) remained even after adjusting for BMI (T2DMadjBMI: rg=0.22, P=4.48×10-10). Mendelian randomization analyses provided evidence of a unidirectional causal relationship (T2DM→GSD: odds ratio (OR)=1.08, P=4.6×10-8; GSD→T2DM: OR=1.02, P=0.48), even after adjusting for important metabolic confounders (OR=1.02, P=0.02). This association was further corroborated through a comprehensive functional analysis reflected by 23 pleiotropic single nucleotide polymorphisms, as well as multiple neural and motor-enriched tissues. Conclusion Through comprehensive observational and genetic analyses, our study clarified the causal relationship between T2DM and GSD, but not in the reverse direction. These findings might provide new insights into prevention and treatment strategies for T2DM and GSD.
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Affiliation(s)
- Peijing Yan
- Department of Epidemiology and Biostatistics, Institute of Systems Epidemiology, and West China-PUMC C. C. Chen Institute of Health, West China School of Public Health and West China Fourth Hospital, Sichuan University, Chengdu, Sichuan, China
| | - Li Zhang
- Department of Epidemiology and Biostatistics, Institute of Systems Epidemiology, and West China-PUMC C. C. Chen Institute of Health, West China School of Public Health and West China Fourth Hospital, Sichuan University, Chengdu, Sichuan, China
| | - Chao Yang
- Department of Epidemiology and Biostatistics, Institute of Systems Epidemiology, and West China-PUMC C. C. Chen Institute of Health, West China School of Public Health and West China Fourth Hospital, Sichuan University, Chengdu, Sichuan, China
- School of Public Health, Southwest Medical University, Luzhou, Sichuan, China
| | - Wenqiang Zhang
- Department of Epidemiology and Biostatistics, Institute of Systems Epidemiology, and West China-PUMC C. C. Chen Institute of Health, West China School of Public Health and West China Fourth Hospital, Sichuan University, Chengdu, Sichuan, China
| | - Yutong Wang
- Department of Epidemiology and Biostatistics, Institute of Systems Epidemiology, and West China-PUMC C. C. Chen Institute of Health, West China School of Public Health and West China Fourth Hospital, Sichuan University, Chengdu, Sichuan, China
| | - Min Zhang
- Clinical Research Center, Women and Children’s Hospital of Chongqing Medical University, Chongqing, China
| | - Huijie Cui
- Department of Epidemiology and Biostatistics, Institute of Systems Epidemiology, and West China-PUMC C. C. Chen Institute of Health, West China School of Public Health and West China Fourth Hospital, Sichuan University, Chengdu, Sichuan, China
| | - Mingshuang Tang
- Department of Epidemiology and Biostatistics, Institute of Systems Epidemiology, and West China-PUMC C. C. Chen Institute of Health, West China School of Public Health and West China Fourth Hospital, Sichuan University, Chengdu, Sichuan, China
| | - Lin Chen
- Department of Epidemiology and Biostatistics, Institute of Systems Epidemiology, and West China-PUMC C. C. Chen Institute of Health, West China School of Public Health and West China Fourth Hospital, Sichuan University, Chengdu, Sichuan, China
| | - Xueyao Wu
- Department of Epidemiology and Biostatistics, Institute of Systems Epidemiology, and West China-PUMC C. C. Chen Institute of Health, West China School of Public Health and West China Fourth Hospital, Sichuan University, Chengdu, Sichuan, China
| | - Xunying Zhao
- Department of Epidemiology and Biostatistics, Institute of Systems Epidemiology, and West China-PUMC C. C. Chen Institute of Health, West China School of Public Health and West China Fourth Hospital, Sichuan University, Chengdu, Sichuan, China
| | - Yanqiu Zou
- Department of Epidemiology and Biostatistics, Institute of Systems Epidemiology, and West China-PUMC C. C. Chen Institute of Health, West China School of Public Health and West China Fourth Hospital, Sichuan University, Chengdu, Sichuan, China
| | - Jinyu Xiao
- Department of Epidemiology and Biostatistics, Institute of Systems Epidemiology, and West China-PUMC C. C. Chen Institute of Health, West China School of Public Health and West China Fourth Hospital, Sichuan University, Chengdu, Sichuan, China
| | - Yunjie Liu
- Department of Epidemiology and Biostatistics, Institute of Systems Epidemiology, and West China-PUMC C. C. Chen Institute of Health, West China School of Public Health and West China Fourth Hospital, Sichuan University, Chengdu, Sichuan, China
| | - Chenghan Xiao
- Department of Maternal, Child and Adolescent Health, West China School of Public Health and West China Fourth Hospital, Sichuan University, Chengdu, China
| | - Yanfang Yang
- Department of Epidemiology and Biostatistics, Institute of Systems Epidemiology, and West China-PUMC C. C. Chen Institute of Health, West China School of Public Health and West China Fourth Hospital, Sichuan University, Chengdu, Sichuan, China
| | - Ling Zhang
- Department of Iatrical Polymer Material and Artificial Apparatus, School of Polymer Science and Engineering, Sichuan University, Chengdu, China
| | - Yuqin Yao
- Department of Occupational and Environmental Health, West China School of Public Health and West China Fourth Hospital, Sichuan University, Chengdu, China
| | - Jiayuan Li
- Department of Epidemiology and Biostatistics, Institute of Systems Epidemiology, and West China-PUMC C. C. Chen Institute of Health, West China School of Public Health and West China Fourth Hospital, Sichuan University, Chengdu, Sichuan, China
| | - Zhenmi Liu
- Department of Maternal, Child and Adolescent Health, West China School of Public Health and West China Fourth Hospital, Sichuan University, Chengdu, China
| | - Chunxia Yang
- Department of Epidemiology and Biostatistics, Institute of Systems Epidemiology, and West China-PUMC C. C. Chen Institute of Health, West China School of Public Health and West China Fourth Hospital, Sichuan University, Chengdu, Sichuan, China
| | - Xia Jiang
- Department of Epidemiology and Biostatistics, Institute of Systems Epidemiology, and West China-PUMC C. C. Chen Institute of Health, West China School of Public Health and West China Fourth Hospital, Sichuan University, Chengdu, Sichuan, China
- Department of Nutrition and Food Hygiene, West China School of Public Health and West China Fourth Hospital, Sichuan University, Chengdu, China
- Department of Clinical Neuroscience, Karolinska Institute, Stockholm, Sweden
| | - Ben Zhang
- Department of Epidemiology and Biostatistics, Institute of Systems Epidemiology, and West China-PUMC C. C. Chen Institute of Health, West China School of Public Health and West China Fourth Hospital, Sichuan University, Chengdu, Sichuan, China
- Department of Occupational and Environmental Health, West China School of Public Health and West China Fourth Hospital, Sichuan University, Chengdu, China
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Li W, Li Z, Yan Y, Zhang J, Zhou Q, Jia C, Xu Y, Cui H, Xie S, Liu Q, Guan Y, Liu Y, He M. Urinary arsenic metabolism, genetic susceptibility, and their interaction on type 2 diabetes. CHEMOSPHERE 2023; 345:140536. [PMID: 37890798 DOI: 10.1016/j.chemosphere.2023.140536] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Subscribe] [Scholar Register] [Received: 03/30/2023] [Revised: 10/07/2023] [Accepted: 10/23/2023] [Indexed: 10/29/2023]
Abstract
Growing studies investigated the association of arsenic metabolism with type 2 diabetes (T2D), however, the epidemiological evidence is inconsistent. In addition, the interaction of arsenic metabolism-related genetic risk score (GRS)-arsenic on T2D risk was unclear. The present study aimed to evaluate the association of arsenic metabolism efficiency [inorganic arsenic (iAs)%, monomethylarsonic acid (MMA)%, and dimethylarsinic acid (DMA%)] with T2D risk. Moreover, the relationship of GRS and arsenic metabolism efficiency and the interaction of GRS-arsenic on T2D were investigated. Age- and sex-matched new-onset diabetes case-control study derived from the Dongfeng-Tongji cohort was conducted and 996 pairs participants were included in this study. The leave-one-out approach was used to evaluate the association of arsenic metabolism efficiency with T2D risk. The GRS and weight GRS (wGRS) were calculated based on 79 candidate SNPs. We estimated the relationship of GRS with arsenic metabolism efficiency by linear regression model. The interaction of GRS-arsenic on T2D was assessed by adding a multiplicative interaction term (GRS × arsenic) in the logistic regression models. Urinary iAs% was positively associated with T2D risk, and the OR (95% CI) was 1.06 (1.01, 1.12). MMA% and PMI were negatively associated with T2D risk, and the ORs (95% CI) were 0.87 (0.78, 0.97) and 0.64 (0.47, 0.86), respectively. Urinary DMA, As3+, and As5+ were positively associated with T2D risk. Similar relationships were found between arsenic metabolites and levels of FPG and HbA1c. Moreover, arsenic metabolism-related GRS/wGRS was positively associated with MMA% but negatively associated with DMA%. Genetic predisposition to arsenic metabolism modified the association of inorganic arsenic with T2D risk (Pinteraction = 0.033). Taken together, lower arsenic primary metabolism efficiency (higher iAs% and lower MMA%) may increase T2D risk. Genetic predisposition to arsenic metabolism was associated with arsenic metabolism efficiency, and might modify the association of inorganic arsenic with T2D risk.
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Affiliation(s)
- Weiya Li
- Department of Occupational and Environmental Health, Ministry of Education and State Key Laboratory of Environmental Health (Incubating), School of Public Health, Tongji Medical College, Huazhong University of Science and Technology, Wuhan, China
| | - Zhaoyang Li
- Department of Occupational and Environmental Health, Ministry of Education and State Key Laboratory of Environmental Health (Incubating), School of Public Health, Tongji Medical College, Huazhong University of Science and Technology, Wuhan, China
| | - Yan Yan
- Department of Occupational and Environmental Health, Ministry of Education and State Key Laboratory of Environmental Health (Incubating), School of Public Health, Tongji Medical College, Huazhong University of Science and Technology, Wuhan, China
| | - Jiazhen Zhang
- Department of Occupational and Environmental Health, Ministry of Education and State Key Laboratory of Environmental Health (Incubating), School of Public Health, Tongji Medical College, Huazhong University of Science and Technology, Wuhan, China
| | - Qihang Zhou
- Department of Occupational and Environmental Health, Ministry of Education and State Key Laboratory of Environmental Health (Incubating), School of Public Health, Tongji Medical College, Huazhong University of Science and Technology, Wuhan, China
| | - Chengyong Jia
- Department of Occupational and Environmental Health, Ministry of Education and State Key Laboratory of Environmental Health (Incubating), School of Public Health, Tongji Medical College, Huazhong University of Science and Technology, Wuhan, China
| | - Yali Xu
- Department of Occupational and Environmental Health, Ministry of Education and State Key Laboratory of Environmental Health (Incubating), School of Public Health, Tongji Medical College, Huazhong University of Science and Technology, Wuhan, China
| | - Hongsheng Cui
- Department of Occupational and Environmental Health, Ministry of Education and State Key Laboratory of Environmental Health (Incubating), School of Public Health, Tongji Medical College, Huazhong University of Science and Technology, Wuhan, China
| | - Shenglan Xie
- Department of Occupational and Environmental Health, Ministry of Education and State Key Laboratory of Environmental Health (Incubating), School of Public Health, Tongji Medical College, Huazhong University of Science and Technology, Wuhan, China
| | - Qianying Liu
- Department of Occupational and Environmental Health, Ministry of Education and State Key Laboratory of Environmental Health (Incubating), School of Public Health, Tongji Medical College, Huazhong University of Science and Technology, Wuhan, China
| | - Youbing Guan
- Department of Occupational and Environmental Health, Ministry of Education and State Key Laboratory of Environmental Health (Incubating), School of Public Health, Tongji Medical College, Huazhong University of Science and Technology, Wuhan, China
| | - Yuenan Liu
- Department of Occupational and Environmental Health, Ministry of Education and State Key Laboratory of Environmental Health (Incubating), School of Public Health, Tongji Medical College, Huazhong University of Science and Technology, Wuhan, China
| | - Meian He
- Department of Occupational and Environmental Health, Ministry of Education and State Key Laboratory of Environmental Health (Incubating), School of Public Health, Tongji Medical College, Huazhong University of Science and Technology, Wuhan, China.
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Nie C, Yang T, Wang Z, Suolang D, Wang S, Baima K, Wei L, Ling H, Liu L, Zeng Q, Qin Z, Zuo H, Hong F. Dietary Patterns and Gallstone Risks in Chinese Adults: A Cross-sectional Analysis of the China Multi-Ethnic Cohort Study. J Epidemiol 2023; 33:471-477. [PMID: 35466159 PMCID: PMC10409532 DOI: 10.2188/jea.je20220039] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 02/13/2022] [Accepted: 04/05/2022] [Indexed: 02/05/2023] Open
Abstract
BACKGROUND Little is known about the association between a plant-based diet and the risk of gallstone disease (GD), especially in developing counties. We tested the hypothesis that shifting dietary patterns would be related to the risk of GD, and that the Mediterranean diet (MED) adjusted for China would be beneficial for lowering risk of GD. METHODS Data were extracted from the baseline survey of the China Multi-Ethnic Cohort study. An alternative Mediterranean diet (aMED) score was assessed based on a food frequency questionnaire, and three posteriori dietary patterns (the modern dietary pattern, the coarse grain dietary pattern, and the rice dietary pattern) were identified using factor analysis. Multivariable logistic regression models were developed to evaluate the association between dietary patterns and GD risks. RESULTS A total of 89,544 participants were included. The prevalence of GD was 7.5%. Comparing the highest with lowest quintiles, aMED was associated with an increased risk of GD (OR 1.13; 95% CI, 1.04-1.24; Ptrend = 0.003), whereas the rice dietary pattern was inversely related to GD risk (OR 0.79; 95% CI, 0.71-0.87; Ptrend < 0.001). In stratified analysis, the rice dietary pattern had a stronger inverse association in the subgroups of females, older, urban, and overweight participants, and those with diabetes-factors associated with higher rates of GD in previous studies. CONCLUSION Higher adherence to the rice dietary pattern was associated with a lower risk of GD. For high-risk populations, making some shift to a traditional agricultural diet might help with primary prevention of GD.
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Affiliation(s)
- Chan Nie
- School of Public Health, the Key Laboratory of Environmental Pollution Monitoring and Disease Control, Ministry of Education, Guizhou Medical University, Guiyang, China
| | - Tingting Yang
- School of Public Health, the Key Laboratory of Environmental Pollution Monitoring and Disease Control, Ministry of Education, Guizhou Medical University, Guiyang, China
| | - Ziyun Wang
- School of Public Health, the Key Laboratory of Environmental Pollution Monitoring and Disease Control, Ministry of Education, Guizhou Medical University, Guiyang, China
| | - Deji Suolang
- Tibet Center for Disease Control and Prevention, Lhasa, China
| | - Songmei Wang
- School of Public Health, Kunming Medical University, Kunming, China
| | - Kangzhuo Baima
- Division of Pulmonary Diseases, State Key Laboratory of Biotherapy, West China Hospital of Sichuan University, Chengdu, China
- School of Medicine, Tibet University, Lhasa, China
| | - Li Wei
- Wuhou District Center for Disease Control and Prevention, Chengdu, China
| | - Hua Ling
- Chongqing Center for Disease Control and Prevention, Chongqing, China
| | - Leilei Liu
- School of Public Health, the Key Laboratory of Environmental Pollution Monitoring and Disease Control, Ministry of Education, Guizhou Medical University, Guiyang, China
| | - Qibing Zeng
- School of Public Health, the Key Laboratory of Environmental Pollution Monitoring and Disease Control, Ministry of Education, Guizhou Medical University, Guiyang, China
| | - Zixiu Qin
- School of Public Health, the Key Laboratory of Environmental Pollution Monitoring and Disease Control, Ministry of Education, Guizhou Medical University, Guiyang, China
| | - Haojiang Zuo
- West China School of Public Health and West China Fourth Hospital, Sichuan University, Chengdu, China
- Food Safety Monitoring and Risk Assessment Key Laboratory of Sichuan Province, Chengdu, China
| | - Feng Hong
- School of Public Health, the Key Laboratory of Environmental Pollution Monitoring and Disease Control, Ministry of Education, Guizhou Medical University, Guiyang, China
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7
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Tian B, Chen G, Shi X, Jiang L, Jiang T, Li Q, Yuan L, Qin J. Preliminary exploration of the effects of environmental factors on the microsatellite status of BRAF-mutated colorectal cancer. World J Surg Oncol 2023; 21:264. [PMID: 37620872 PMCID: PMC10463889 DOI: 10.1186/s12957-023-03106-6] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 04/23/2023] [Accepted: 07/12/2023] [Indexed: 08/26/2023] Open
Abstract
BACKGROUND To investigate the expression of EBV products and frequency of gallstone disease (GD) among different microsatellite status in colorectal cancer (CRC) with BRAFV600E mutation. METHODS We collected 30 CRC patients with BRAFV600E mutation and 10 BRAF ( -) CRC patients as well as 54 healthy subjects. Tumor tissue samples were collected to detect the mutation of BRAF, KRAS, and TP53. Microsatellite status was determined by immunohistochemistry and PCR. EBER in situ hybridization was performed to detect EBV. In addition, we also collected clinical information about the patients. RESULTS We found that although EBV products were detected in CRC, there were no significant differences in the EBV distribution between the different BRAF groups. Our study demonstrated that BRAFV600E mutation and BRAFV600E with MSI were significantly more frequent in the right CRC. Furthermore, the KRAS mutation rate in the BRAF-wild-type group was proved to be significantly higher than that in the BRAF mutation group. In addition, we revealed that BRAF mutation and MSI were independent risk factors of TNM stage. The frequency of GD was higher in CRC patients than in general population, and although there was no significant difference between CRC with or without BRAFV600E mutation, the highest frequency of GD was found in MSS CRC with BRAFV600E mutation. CONCLUSIONS EBV plays a role in CRC, but is not a determinant of different microsatellite status in CRC with BRAFV600E mutation. The frequency of GD in MSS CRC with BRAFV600E mutation is significantly higher than that in the general population.
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Affiliation(s)
- Binle Tian
- Department of Oncology, Shanghai General Hospital, Shanghai Jiao Tong University School of Medicine, 100 Haining Road, Shanghai, 200080, China
| | - Guiming Chen
- Department of General Surgery, Shanghai General Hospital, Shanghai Jiao Tong University School of Medicine, 100 Haining Road, Shanghai, 200080, China
| | - Xiaoqin Shi
- Pathology Center, Shanghai General Hospital, Shanghai Jiao Tong University School of Medicine, 100 Haining Road, Shanghai, 200080, China
| | - Liren Jiang
- Pathology Center, Shanghai General Hospital, Shanghai Jiao Tong University School of Medicine, 100 Haining Road, Shanghai, 200080, China
| | - Tao Jiang
- Department of General Surgery, Shanghai General Hospital, Shanghai Jiao Tong University School of Medicine, 100 Haining Road, Shanghai, 200080, China
| | - Qi Li
- Department of Oncology, Shanghai General Hospital, Shanghai Jiao Tong University School of Medicine, 100 Haining Road, Shanghai, 200080, China
| | - Lin Yuan
- Pathology Center, Shanghai General Hospital, Shanghai Jiao Tong University School of Medicine, 100 Haining Road, Shanghai, 200080, China.
| | - Jian Qin
- Department of General Surgery, Shanghai General Hospital, Shanghai Jiao Tong University School of Medicine, 100 Haining Road, Shanghai, 200080, China.
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8
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Yuan S, Merino J, Larsson SC. Causal factors underlying diabetes risk informed by Mendelian randomisation analysis: evidence, opportunities and challenges. Diabetologia 2023; 66:800-812. [PMID: 36786839 PMCID: PMC10036461 DOI: 10.1007/s00125-023-05879-7] [Citation(s) in RCA: 8] [Impact Index Per Article: 8.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 10/05/2022] [Accepted: 01/04/2023] [Indexed: 02/15/2023]
Abstract
Diabetes and its complications cause a heavy disease burden globally. Identifying exposures, risk factors and molecular processes causally associated with the development of diabetes can provide important evidence bases for disease prevention and spur novel therapeutic strategies. Mendelian randomisation (MR), an epidemiological approach that uses genetic instruments to infer causal associations between an exposure and an outcome, can be leveraged to complement evidence from observational and clinical studies. This narrative review aims to summarise the evidence on potential causal risk factors for diabetes by integrating published MR studies on type 1 and 2 diabetes, and to reflect on future perspectives of MR studies on diabetes. Despite the genetic influence on type 1 diabetes, few MR studies have been conducted to identify causal exposures or molecular processes leading to increased disease risk. In type 2 diabetes, MR analyses support causal associations of somatic, mental and lifestyle factors with development of the disease. These studies have also identified biomarkers, some of them derived from the gut microbiota, and molecular processes leading to increased disease risk. These studies provide valuable data to better understand disease pathophysiology and explore potential therapeutic targets. Because genetic association studies have mostly been restricted to participants of European descent, multi-ancestry cohorts are needed to examine the role of different types of physical activity, dietary components, metabolites, protein biomarkers and gut microbiome in diabetes development.
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Affiliation(s)
- Shuai Yuan
- Unit of Cardiovascular and Nutritional Epidemiology, Institute of Environmental Medicine, Karolinska Institutet, Stockholm, Sweden
| | - Jordi Merino
- Diabetes Unit and Center for Genomic Medicine, Massachusetts General Hospital, Boston, MA, USA
- Programs in Metabolism and Medical and Population Genetics, Eli and Edythe L. Broad Institute of MIT and Harvard, Cambridge, MA, USA
- Department of Medicine, Harvard Medical School, Boston, MA, USA
- Novo Nordisk Foundation Center for Basic Metabolic Research, Faculty of Health and Medical Sciences, University of Copenhagen, Copenhagen, Denmark
| | - Susanna C Larsson
- Unit of Cardiovascular and Nutritional Epidemiology, Institute of Environmental Medicine, Karolinska Institutet, Stockholm, Sweden.
- Unit of Medical Epidemiology, Department of Surgical Sciences, Uppsala University, Uppsala, Sweden.
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Zhang J, Chen L, Shen K, Zhang J, Zhu Y, Qiao Q, Chen L. Association between metabolically healthy overweight/obesity and gallstones in Chinese adults. Nutr Metab (Lond) 2023; 20:20. [PMID: 37004051 PMCID: PMC10064513 DOI: 10.1186/s12986-023-00741-4] [Citation(s) in RCA: 2] [Impact Index Per Article: 2.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 01/12/2023] [Accepted: 03/21/2023] [Indexed: 04/03/2023] Open
Abstract
BACKGROUND Metabolic syndrome and obesity are risk factors for gallstones. However, these two factors often occur together, and few studies have focused on the association between metabolically healthy overweight/obesity (MHOW/MHO) and gallstones. We hypothesized that MHO individuals would be associated with the prevalence of gallstones. METHODS This cross-sectional study included 125,668 participants aged 18-80 years at the Health Promotion Center of Run Run Run Shaw Hospital, Zhejiang University School of Medicine during 2017-2019 years. Each participant underwent a comprehensive health checkup. Gallstones were diagnosed by abdominal ultrasonography. Metabolically health was defined as not meeting the diagnostic criteria for metabolic syndrome (MetS). Obesity was measured by BMI. MetS and weight stratification were combined to classify the metabolism-obesity phenotypes. Logistic regression models were used to estimate adjusted odds ratios (ORs) and 95% CIs. RESULTS Among 125,668 participants, 5486 (4.4%) had gallstones. 21407 (17.0%) were MHOW individuals, and 3322 (2.6%) were MHO individuals. MHOW (OR 1.40; 95%CI: 1.29-1.53) and MHO (OR 1.80; 95%CI: 1.53-2.12) participants were at higher risk of gallstones and had larger and more numerous gallstones than metabolically healthy normal weight participants. Obesity, MetS, premenopausal women and advanced age were significantly associated with the prevalence of gallstones. CONCLUSIONS MHOW/MHO individuals exhibited a higher risk of gallstones. In metabolically healthy individuals, the risk of gallstones increased with increasing BMI. Thus, obesity was associated with the prevalence of gallstones, even in relatively metabolically healthy adults.
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Affiliation(s)
- Junlu Zhang
- Department of General Practice, Sir Run Run Shaw Hospital, School of Medicine, Zhejiang University, Hangzhou, Zhejiang, China
| | - Liangli Chen
- Department of General Practice, Sir Run Run Shaw Hospital, School of Medicine, Zhejiang University, Hangzhou, Zhejiang, China
| | - Keqing Shen
- Department of General Practice, Sir Run Run Shaw Hospital, School of Medicine, Zhejiang University, Hangzhou, Zhejiang, China
| | - Jia Zhang
- Department of General Practice, Sir Run Run Shaw Hospital, School of Medicine, Zhejiang University, Hangzhou, Zhejiang, China
| | - Yue Zhu
- Department of General Practice, Sir Run Run Shaw Hospital, School of Medicine, Zhejiang University, Hangzhou, Zhejiang, China
| | - Qiaohua Qiao
- Department of General Practice, Sir Run Run Shaw Hospital, School of Medicine, Zhejiang University, Hangzhou, Zhejiang, China
| | - Liying Chen
- Department of General Practice, Sir Run Run Shaw Hospital, School of Medicine, Zhejiang University, Hangzhou, Zhejiang, China.
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10
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Nie C, Li Z, Yang T, Zhong J, Liu Q, Mi F, Yu J, Pan Y, Kan H, Hong F. Associations of long-term exposure to particulate matter with gallstone risks in Chinese adults: A large cross-sectional study. ECOTOXICOLOGY AND ENVIRONMENTAL SAFETY 2023; 252:114644. [PMID: 36791505 DOI: 10.1016/j.ecoenv.2023.114644] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Subscribe] [Scholar Register] [Received: 12/02/2022] [Revised: 02/10/2023] [Accepted: 02/11/2023] [Indexed: 06/18/2023]
Abstract
BACKGROUND Epidemiological evidence regarding the relation of exposure to ambient particulate matter (PM) with gallstone disease (GSD) risk remains lacking. We tested the hypothesis that long-term exposure to PM is related to the development of GSD and that dyslipidemia can mediate the effect of PM-associated GSD formation. METHODS We extracted related information on the basis of the baseline survey of the China Multi-Ethnic Cohort Study. The exposure levels of PM (PM1, PM2.5, and PM10) were assessed by validated spatiotemporal models. The relation of exposure to ambient PM with GSD risks was analyzed by non-conditional logistic regression models. Additionally, mediation analysis was conducted to assess whether dyslipidemia was related to the relation of PM exposure with GSD risks. RESULTS A total of 72,893 participants were included. Increased ambient PM exposure was positively associated with a higher GSD risk, with ORs (and 95% CI) of 1.17 (1.06, 1.28), 1.10 (1.05, 1.15), and 1.07 (1.04, 1.10) for every 10 μg/m3 increment in PM1, PM2.5, and PM10, separately. The association was more remarkable in males, drinkers, and central obesity participants. Dyslipidemia significantly mediated the association between PM and GSD, with mediating proportions of 5.37%, 9.13%, and 7.66% in PM1, PM2.5, and PM10, respectively. CONCLUSION Exposure to PM may relate to the increased risk of GSD in Chinese adults, especially among males, drinkers, and central obesity participants. Dyslipidemia may partially mediate the effect of PM-associated GSD development. Our results might provide epidemiological evidence for the progression of GSD related to PM and give new insights into GSD prevention and screening priorities.
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Affiliation(s)
- Chan Nie
- School of Public Health, the Key Laboratory of Environmental Pollution Monitoring and Disease Control, Ministry of Education, Guizhou Medical University, Guizhou, Guiyang 550025, China
| | - Zhifeng Li
- Chongqing Center for Disease Control and Prevention, Chongqing 400042, China.
| | - Tingting Yang
- School of Public Health, the Key Laboratory of Environmental Pollution Monitoring and Disease Control, Ministry of Education, Guizhou Medical University, Guizhou, Guiyang 550025, China
| | - Jianqin Zhong
- School of Public Health, the Key Laboratory of Environmental Pollution Monitoring and Disease Control, Ministry of Education, Guizhou Medical University, Guizhou, Guiyang 550025, China
| | - Qiaolan Liu
- Sichuan University West China School of Public Health, Sichuan, Chengdu 610000, China
| | - Fei Mi
- School of Public Health, Kunming Medical University, Yunnan, Kunming 650000, China
| | - Jianhong Yu
- Pidu District Center for Disease Control and Prevention, Sichuan, Chengdu 611700, China
| | - Yongyue Pan
- School of Medicine, Tibet University, Lhasa, Tibet 850000, China
| | - Haidong Kan
- School of Public Health, Shanghai Institute of Infectious Disease and Biosecurity, Key Lab of Public Health Safety of the Ministry of Education and Key Lab of Health Technology Assessment of the Ministry of Health, Fudan University, Shanghai 200032, China; Children's Hospital of Fudan University, National Center for Children's Health, Shanghai 200032, China.
| | - Feng Hong
- School of Public Health, the Key Laboratory of Environmental Pollution Monitoring and Disease Control, Ministry of Education, Guizhou Medical University, Guizhou, Guiyang 550025, China.
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11
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Qian Q, Jiang H, Cai B, Chen D, Jiang M. Physical activity and risk of gallstone disease: A Mendelian randomization study. Front Genet 2022; 13:943353. [PMID: 36561321 PMCID: PMC9763559 DOI: 10.3389/fgene.2022.943353] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 05/13/2022] [Accepted: 11/16/2022] [Indexed: 12/12/2022] Open
Abstract
Objective: Given the association between physical activity and the reduced risk of gallstone disease as suggested in observational studies, a Mendelian randomization study was conducted to evaluate the causal nature of this association in genetic epidemiology. Study: Including self-reported and accelerometer-based physical activity traits, the independent genetic variants associated with physical activity were selected from the corresponding genome-wide association studies as instrumental variables. The summary-level data for gallstone disease were sourced from the UK Biobank (7,682 cases and 455,251 non-cases) and FinnGen consortium (23,089 cases and 231,644 non-cases). Then, two-sample Mendelian randomization analysis was conducted. Inverse-variance weight (IVW), weighted median, and Mendelian randomization-Egger regression were determined through Mendelian randomization analyses. To ensure the robustness of the results, sensitivity analyses were also carried out in the study. Results: The negative causality between the genetically predicted accelerometer-based "average acceleration" physical activity and the risk of gallstone disease was suggested in the UK Biobank study (p = 0.023, OR = 0.93, 95% CI: 0.87-0.99), and accelerometer-based "overall activity" physical activity and the risk of gallstone disease in the UK Biobank study (p = 0.017, OR = 0.38, 95% CI: 0.17-0.84). With accelerometer-based "average acceleration" physical activity negatively correlated with gallstone disease in the FinnGen consortium data (p = 0.001, OR = 0.94, 95% CI: 0.90-0.97). As for self-reported moderate-to-vigorous physical activity, however, there was no causality observed in both pieces of data. Conclusion: Our studies provide the evidence suggesting a casual association between physical activities and gallstone disease through analysis of genetic data. As indicated by the research results, there is a possibility that a higher level of physical activities could mitigate the risk of gallstone disease.
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Affiliation(s)
- Qilin Qian
- School of Public Health, Hangzhou Medical College, Hangzhou, China
| | - Han Jiang
- School of Public Health, Hangzhou Medical College, Hangzhou, China
| | - Bingyue Cai
- School of Public Health, Hangzhou Medical College, Hangzhou, China
| | - Dingwan Chen
- School of Public Health, Hangzhou Medical College, Hangzhou, China
| | - Minmin Jiang
- Key Laboratory of Pollution Exposure and Health Intervention of Zhejiang Province, Shulan International Medical College, Zhejiang Shuren University, Hangzhou, China,*Correspondence: Minmin Jiang,
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12
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Liu S, Yi M, Qin J, Lei F, Lin L, Li Y, Zhuo M, Liu W, Huang X, Cai J, Zhang X, Zhang P, Ji Y, Ye J, Li H. The increasing incidence and high body mass index-related burden of gallbladder and biliary diseases-A results from global burden of disease study 2019. Front Med (Lausanne) 2022; 9:1002325. [PMID: 36530914 PMCID: PMC9757069 DOI: 10.3389/fmed.2022.1002325] [Citation(s) in RCA: 2] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 08/11/2022] [Accepted: 11/11/2022] [Indexed: 04/23/2024] Open
Abstract
BACKGROUND Gallbladder and biliary diseases are common gastrointestinal conditions associated with huge socioeconomic costs and are considered risk factors for cardiovascular diseases and digestive system cancers. The prevalence and incidence of gallbladder and biliary diseases have not received enough attention from 1990 to 2019. Several non-communicable diseases were associated with the incidence of gallbladder and biliary diseases. It is necessary to clarify the change in the incidence and disability burden of gallbladder and biliary diseases worldwide. METHODS Data on high body mass index (BMI)-related disease burden and incidence, years of life lost prematurely, and years lived with disability (YLDs) due to gallbladder and biliary diseases were obtained from the Global Burden of Disease 2019. The estimated annual percentage change was calculated to qualify the gallbladder and biliary disease burden change. RESULTS The global age-standardized incidence rate has increased from 585.35 per 100,000 (95% UI: 506.05-679.86) in 1990 to 634.32 per 100,000 (95% UI: 540.21-742.93) in 2019. And the increase in incidence was positively correlated with rising high BMI-related summary exposure value. The high BMI-related YLDs of gallbladder and biliary diseases have increased worldwide over time. Globally, the 25-49 age group suffered a rapid rise in incidence and high BMI attributable to the YLDs rate of gallbladder and biliary diseases. CONCLUSION The global incidence and high BMI-related YLDs of gallbladder and biliary diseases remain prominent to increase over the past 30 years. Notably, the incidence and high BMI-related YLDs among people aged 25-49 years have rapidly increased over time. Therefore, high BMI should be emphasized in strategic priorities for controlling gallbladder and biliary diseases.
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Affiliation(s)
- Shuhua Liu
- Department of Anesthesiology, First Affiliated Hospital of Gannan Medical University, Ganzhou, China
| | - Maolin Yi
- Department of Mammary Gland and Thyroid Gland, Huanggang Central Hospital of Yangtze University, Huanggang, China
| | - Juanjuan Qin
- Department of Cardiology, Renmin Hospital of Wuhan University, Wuhan, China
- Institute of Model Animal, Wuhan University, Wuhan, China
| | - Fang Lei
- Institute of Model Animal, Wuhan University, Wuhan, China
- School of Basic Medical Science, Wuhan University, Wuhan, China
| | - Lijin Lin
- Department of Cardiology, Renmin Hospital of Wuhan University, Wuhan, China
- Institute of Model Animal, Wuhan University, Wuhan, China
| | - Yi Li
- Department of Anesthesiology, First Affiliated Hospital of Gannan Medical University, Ganzhou, China
| | - Ming Zhuo
- Department of Anesthesiology, First Affiliated Hospital of Gannan Medical University, Ganzhou, China
| | - Weifang Liu
- Institute of Model Animal, Wuhan University, Wuhan, China
- School of Basic Medical Science, Wuhan University, Wuhan, China
| | - Xuewei Huang
- Department of Cardiology, Renmin Hospital of Wuhan University, Wuhan, China
- Institute of Model Animal, Wuhan University, Wuhan, China
| | - Jingjing Cai
- Institute of Model Animal, Wuhan University, Wuhan, China
- Department of Cardiology, The Third Xiangya Hospital, Central South University, Changsha, China
| | - Xiaojing Zhang
- Institute of Model Animal, Wuhan University, Wuhan, China
- School of Basic Medical Science, Wuhan University, Wuhan, China
| | - Peng Zhang
- Institute of Model Animal, Wuhan University, Wuhan, China
- School of Basic Medical Science, Wuhan University, Wuhan, China
| | - Yanxiao Ji
- Institute of Model Animal, Wuhan University, Wuhan, China
- Medical Science Research Center, Zhongnan Hospital of Wuhan University, Wuhan, China
| | - Junming Ye
- Department of Anesthesiology, First Affiliated Hospital of Gannan Medical University, Ganzhou, China
| | - Hongliang Li
- Department of Cardiology, Renmin Hospital of Wuhan University, Wuhan, China
- Institute of Model Animal, Wuhan University, Wuhan, China
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13
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Su W, Zhu JG, Li WP, Chen H, Li HW. Gallstone disease and the risk of cardiac mortality in patients with acute coronary syndrome. Front Cardiovasc Med 2022; 9:1033959. [PMID: 36505391 PMCID: PMC9730328 DOI: 10.3389/fcvm.2022.1033959] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 09/01/2022] [Accepted: 11/08/2022] [Indexed: 11/25/2022] Open
Abstract
Background Gallstone disease is a common gastrointestinal disorder, which has previously been reported to be associated with the incidence of cardiovascular disease. We aimed to investigate the association between gallstone disease and long-term outcomes in patients with acute coronary syndrome (ACS). Materials and methods A total of consecutive 13,975 ACS patients were included in this analysis. Gallstone disease in our study included both gallstones and cholecystectomy. The primary endpoint was cardiac mortality. The secondary outcome was all-cause mortality. Relative risks were estimated using Cox proportional hazards regression. Results During a median follow-up period of 2.96 years, 518 (4.2%) patients without gallstone disease and 62 (3.6%) patients in those with gallstone disease suffered cardiac death. After multivariable adjustment for established risk factors, subjects with gallstone disease had decreased risks of both cardiac mortality and all-cause mortality [hazard rate ratios (HR) = 0.72, 95% CI: 0.55-0.95 and HR = 0.75, 95% CI: 0.62-0.90, respectively]. In patients with performed cholecystectomy, the associations between gallstones and risks for cardiac mortality and all-cause mortality turned out to be non-significant. HRs varied across subgroups depending on the presence of selected established risk factors. Conclusion Presence of gallstone disease was associated with a significantly decreased risk of follow-up mortality in patients with ACS.
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Affiliation(s)
- Wen Su
- Department of Cardiology, Beijing Friendship Hospital, Capital Medical University, Beijing, China
| | - Jie-Gao Zhu
- Department of General Surgery, Beijing Friendship Hospital, Capital Medical University, Beijing, China,*Correspondence: Jie-Gao Zhu,
| | - Wei-Ping Li
- Department of Cardiology, Beijing Friendship Hospital, Capital Medical University, Beijing, China
| | - Hui Chen
- Department of Cardiology, Beijing Friendship Hospital, Capital Medical University, Beijing, China
| | - Hong-Wei Li
- Department of Cardiology, Beijing Friendship Hospital, Capital Medical University, Beijing, China
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14
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Jiao JY, Zhu XJ, Zhou C, Wang P. Research progress on the immune microenvironment of the gallbladder in patients with cholesterol gallstones. World J Gastrointest Surg 2022; 14:887-895. [PMID: 36185563 PMCID: PMC9521471 DOI: 10.4240/wjgs.v14.i9.887] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 06/04/2022] [Revised: 08/19/2022] [Accepted: 09/07/2022] [Indexed: 02/07/2023] Open
Abstract
Cholesterol gallstones are very common in hepatobiliary surgery and have been studied to a certain extent by doctors worldwide for decades. However, the mechanism of cholesterol gallstone formation is not fully understood, so there is currently no completely effective drug for the treatment and prevention of cholesterol gallstones. The formation and development of cholesterol gallstones are caused by a variety of genetic and environmental factors, among which genetic susceptibility, intestinal microflora disorders, impaired gallbladder motility, and immune disorders are important in the pathogenesis of cholesterol gallstones. This review focuses on recent advances in these mechanisms. We also discuss some new targets that may be effective in the treatment and prevention of cholesterol gallstones, which may be hot areas in the future.
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Affiliation(s)
- Jing-Yi Jiao
- Department of Hepatobiliary and Pancreatic Surgery, Affiliated Hospital of Nantong University, Nantong 226001, Jiangsu Province, China
- Medical School, Nantong University, Nantong 226001, Jiangsu Province, China
| | - Xiao-Jun Zhu
- Department of Hepatobiliary Surgery, Nantong First People's Hospital, Nantong 226001, Jiangsu Province, China
| | - Chun Zhou
- Department of General Practitioner, Affiliated Hospital of Nantong University, Nantong 226001, Jiangsu Province, China
| | - Peng Wang
- Department of Hepatobiliary and Pancreatic Surgery, Affiliated Hospital of Nantong University, Nantong 226001, Jiangsu Province, China
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15
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Lodha M, Chauhan AS, Puranik A, Meena SP, Badkur M, Chaudhary R, Chaudhary IS, Sairam MV, Kumar V, Lodha R. Clinical Profile and Evaluation of Outcomes of Symptomatic Gallstone Disease in the Senior Citizen Population. Cureus 2022; 14:e28492. [PMID: 36185904 PMCID: PMC9513743 DOI: 10.7759/cureus.28492] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Accepted: 08/25/2022] [Indexed: 11/24/2022] Open
Abstract
Background There is a heavy burden of gallstone disease on the world’s population. The incidence and severity of symptomatic cholelithiasis increase with age. There is often a delay in presentation, leading to complicated disease, diagnostic delay, and increased morbidity. There is a paucity of studies on the presentation and management of cholelithiasis in elderly persons from the western part of India. This study aimed to observe the spectrum of presentation and management of symptomatic cholelithiasis in senior citizens. Objectives The primary objective of this study was to describe the presentation, diagnosis and intraoperative findings of symptomatic gallstone disease (GSD) in patients aged over 60 years. The secondary objectives of this study were to find the association of GSD with age, sex, and comorbidities, including diabetes mellitus, hypertension, and thyroid disorders. Methods All patients above the age of 60 years presenting to the surgical outpatient and emergency departments from January 2020 to July 2021 with symptomatic GSD were included. Details of history, physical examination, blood investigations, and imaging of the abdomen (ultrasonography and Magnetic Resonance Cholangiopancreaticography, when indicated) were recorded. Patients were managed as per the advice of the treating consultant. Details of management and outcomes, including hospital stay, mortality, and morbidity, were noted. The descriptive data were organised into tables and percentages. The significance of various data and relationships between various variables was analysed using the Pearson chi-square test, Fischer exact test and scatter plots. Results A total of 76 patients were evaluated in this study, of which 73.7% were female. The mean age was 70.8 ± 1.7 years. The majority of patients (63.2%) were admitted through the outpatient department (OPD). The most common presenting complaint was abdominal pain (96.1%). Clinical jaundice was noted in 9.2%. Complicated Gall Stone Disease (GSD) was found more commonly in the female population (57.1%). Complicated GSD was more commonly found in patients with diabetes (p=0.075) and hypothyroidism (p=0.057). No association of age with intraoperative complications was noted (p = 0.446). Conclusion Senior citizens can present with both complicated and uncomplicated GSD. GSD, in the presence of hypothyroidism or diabetes mellitus, presents in a much more complicated form. Early surgical intervention in form of laparoscopic cholecystectomy can be beneficial to the patient if diagnosed with symptomatic gallstones. Patients of this age group need not be over investigated if a benign pathology is suspected.
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Wang F, Zhang Y, Zhang S, Han X, Wei Y, Guo H, Zhang X, Yang H, Wu T, He M. Combined effects of bisphenol A and diabetes genetic risk score on incident type 2 diabetes: A nested case-control study. ENVIRONMENTAL POLLUTION (BARKING, ESSEX : 1987) 2022; 307:119581. [PMID: 35680067 DOI: 10.1016/j.envpol.2022.119581] [Citation(s) in RCA: 2] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Subscribe] [Scholar Register] [Received: 01/19/2022] [Revised: 06/01/2022] [Accepted: 06/02/2022] [Indexed: 06/15/2023]
Abstract
Observational studies reported inconsistent results on the association between bisphenol A (BPA) and type 2 diabetes (T2D) risk. Whether genetic factors modified the association remains unclear. The present nested case-control study prospectively investigated the association of BPA with T2D risk, and the interaction and combined effects of diabetes genetic risk score (GRS) and serum BPA on T2D risk. Based on the Dongfeng-Tongji cohort study, 995 incident diabetes cases and 1:1 age- and gender-matched controls were included. T2D was diagnosed based on the American Diabetes Association criteria. Serum BPA concentration was measured at baseline. Diabetes GRS was constructed by 88 diabetes-related SNPs selected from large-scale GWASs. A U-shaped association was observed between serum BPA levels and T2D risk, with the lowest odds of T2D at the serum BPA levels of 1.00 ng/mL (P = 0.001 for nonlinearity). Compared with the middle group, the multivariate-adjusted ORs of T2D in the lowest group and the highest group of serum BPA were 1.52 (95% CI: 1.04, 2.22) and 1.40 (95% CI: 1.08, 1.81), respectively. Both serum BPA levels (β = 0.107, P = 0.001) and weighted-GRS (w-GRS) (β = 0.072, P = 0.02) were significantly associated with baseline FPG levels. Participants with both highest w-GRS and serum BPA levels had highest risk of T2D (OR = 2.53, 95%CI: 1.49, 4.31, P = 0.001) and higher baseline FPG levels (β = 0.218, P = 0.01), compared with those with both lowest w-GRS and serum BPA levels. Non modified effects of serum BPA levels and w-GRS on T2D, baseline FPG levels, and 5-y changes of FPG levels were detected (All Pinteraction > 0.05). Our results suggested a U-shaped association between serum BPA levels and T2D risk. Participants with higher serum BPA levels and diabetes genetic risk had higher FPG levels and higher risk of T2D.
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Affiliation(s)
- Fei Wang
- Department of Occupational and Environmental Health and Key Laboratory of Environmental 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, 430030, PR China; Department of Occupational Health and Environmental Health, School of Public Health, Guangxi Medical University, Nanning, Guangxi, 530021, PR China
| | - Ying Zhang
- Department of Occupational and Environmental Health and Key Laboratory of Environmental 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, 430030, PR China
| | - Shiyang Zhang
- Department of Occupational and Environmental Health and Key Laboratory of Environmental 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, 430030, PR China
| | - Xu Han
- Department of Occupational and Environmental Health and Key Laboratory of Environmental 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, 430030, PR China
| | - Yue Wei
- Department of Occupational and Environmental Health and Key Laboratory of Environmental 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, 430030, PR China
| | - Huan Guo
- Department of Occupational and Environmental Health and Key Laboratory of Environmental 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, 430030, PR China
| | - Xiaomin Zhang
- Department of Occupational and Environmental Health and Key Laboratory of Environmental 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, 430030, PR China
| | - Handong Yang
- Dongfeng Central Hospital, Dongfeng Motor Corporation and Hubei University of Medicine, Shiyan, Hubei, 442008, PR China
| | - Tangchun Wu
- Department of Occupational and Environmental Health and Key Laboratory of Environmental 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, 430030, PR China
| | - Meian He
- Department of Occupational and Environmental Health and Key Laboratory of Environmental 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, 430030, PR China.
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17
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Ahn HS, Kim HJ, Kang TU, Park SM. Cholecystectomy reduces the risk of cholangiocarcinoma in patients with complicated gallstones, but has negligible effect on hepatocellular carcinoma. J Gastroenterol Hepatol 2022; 37:669-677. [PMID: 34907591 DOI: 10.1111/jgh.15759] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 08/13/2021] [Revised: 11/08/2021] [Accepted: 12/05/2021] [Indexed: 12/09/2022]
Abstract
BACKGROUND AND AIM Gallstones have been reported to be positively associated with hepatobiliary cancers. However, risks of these cancers by cholecystectomy or in patients with complicated gallstones are controversial. We studied the effect of cholecystectomy on the risk of cholangiocarcinoma (CCA) or hepatocellular carcinoma (HCC) in patients with gallstones and subgroup of complicated gallstones. METHODS Patients with gallstone disease (n = 958 677) and age-matched and sex-matched controls (n = 9 586 770) were identified using the Korean National Health Insurance database. Complicated gallstones were defined as gallstones associated with acute cholecystitis or acute cholangitis. Adjusted hazard ratios (adjusted hazard ratios, 95% confidence interval) of CCA and HCC incidences were evaluated in patients with gallstones who received cholecystectomy compared to the controls. We also analyzed these effects in patients with complicated gallstones. RESULTS Patients with gallstones showed increased risks of CCA (1.80, 1.67-1.93) and HCC (1.03, 1.00-1.07) compared with controls. Cholecystectomy had minimal effects on the risks of CCA (1.94, 1.76-2.14) and HCC (0.93, 0.87-0.99) compared with those without cholecystectomy. However, patients with complicated gallstones showed highly increased CCA risk (5.62, 4.89-6.46) and a 30% risk reduction after cholecystectomy (3.91, 3.43-4.46). Risk reduction by cholecystectomy was greater for extrahepatic CCA than for intrahepatic CCA or ampulla of Vater cancer. However, the risk of HCC was not different in patients with complicated gallstones and those who underwent cholecystectomy compared to controls. CONCLUSION The risk of CCA was markedly increased in patients with complicated gallstones and was partially reduced by cholecystectomy. The risk change of HCC was minimal with gallstones or cholecystectomy.
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Affiliation(s)
- Hyeong Sik Ahn
- Department of Preventive Medicine, Korea University College of Medicine, Seoul, South Korea
| | - Hyun Jung Kim
- Department of Preventive Medicine, Korea University College of Medicine, Seoul, South Korea
| | - Tae Uk Kang
- Health and Wellness College, Sungshin Women's University, Seoul, South Korea
| | - Seon Mee Park
- Department of Internal Medicine, Chungbuk National University College of Medicine, Cheongju, South Korea
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18
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Zhang Y, Li Z, Milon Essola J, Ge K, Dai X, He H, Xiao H, Weng Y, Huang Y. Biosafety materials: Ushering in a new era of infectious disease diagnosis and treatment with the CRISPR/Cas system. BIOSAFETY AND HEALTH 2022; 4:70-78. [PMID: 35310559 PMCID: PMC8920088 DOI: 10.1016/j.bsheal.2022.03.010] [Citation(s) in RCA: 8] [Impact Index Per Article: 4.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 11/30/2021] [Revised: 03/10/2022] [Accepted: 03/10/2022] [Indexed: 01/07/2023] Open
Abstract
Despite multiple virus outbreaks over the past decade, including the devastating coronavirus disease 2019 (COVID-19) pandemic, the lack of accurate and timely diagnosis and treatment technologies has wreaked havoc on global biosecurity. The clustered regularly interspaced short palindromic repeats (CRISPR)/CRISPR-associated proteins (Cas) system has the potential to address these critical needs for tackling infectious diseases to detect viral nucleic acids and inhibit viral replication. This review summarizes how the CRISPR/Cas system is being utilized for the treatment and diagnosis of infectious diseases with the help of biosafety materials and highlights the design principle and in vivo and in vitro efficacy of advanced biosafety materials used to deal with virus attacks.
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Affiliation(s)
- Yuquan Zhang
- School of Life Science, School of Medical Technology, Advanced Research Institute of Multidisciplinary Science, Key Laboratory of Molecular Medicine and Biotherapy, Key Laboratory of Medical Molecule Science and Pharmaceutics Engineering, Beijing Institute of Technology, Beijing 100081, China
| | - Ziyue Li
- School of Life Science, School of Medical Technology, Advanced Research Institute of Multidisciplinary Science, Key Laboratory of Molecular Medicine and Biotherapy, Key Laboratory of Medical Molecule Science and Pharmaceutics Engineering, Beijing Institute of Technology, Beijing 100081, China
| | - Julien Milon Essola
- School of Life Science, School of Medical Technology, Advanced Research Institute of Multidisciplinary Science, Key Laboratory of Molecular Medicine and Biotherapy, Key Laboratory of Medical Molecule Science and Pharmaceutics Engineering, Beijing Institute of Technology, Beijing 100081, China
| | - Kun Ge
- Key Laboratory of Analytical Science and Technology of Hebei Province, College of Chemistry and Environmental Science, Key Laboratory of Medicinal Chemistry and Molecular Diagnosis of the Ministry of Education, Hebei University, Baoding 071000, China
| | - Xuyan Dai
- Hunan Agricultural University, Changsha 410128, China
| | - Huining He
- Tianjin Key Laboratory on Technologies Enabling Development of Clinical Therapeutics and Diagnostics, School of Pharmacy, Tianjin Medical University, Tianjin 300070, China
| | - Haihua Xiao
- Beijing National Laboratory for Molecular Science, State Key Laboratory of Polymer Physical and Chemistry, Institute of Chemistry, Chinese Academy of Science, Beijing 100190, China
| | - Yuhua Weng
- School of Life Science, School of Medical Technology, Advanced Research Institute of Multidisciplinary Science, Key Laboratory of Molecular Medicine and Biotherapy, Key Laboratory of Medical Molecule Science and Pharmaceutics Engineering, Beijing Institute of Technology, Beijing 100081, China
| | - Yuanyu Huang
- School of Life Science, School of Medical Technology, Advanced Research Institute of Multidisciplinary Science, Key Laboratory of Molecular Medicine and Biotherapy, Key Laboratory of Medical Molecule Science and Pharmaceutics Engineering, Beijing Institute of Technology, Beijing 100081, China
- School of Materials and the Environment, Beijing Institute of Technology, Zhuhai 519085, China
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19
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Shankar U, Bhandari P, Panchal A, Weeks D, Wu H, Chen F, Maheshwari N, Bansal R, Walfish A, Baum J, Jamidar PA, Aron J. Juxta-papillary duodenal diverticula are associated with pyogenic liver abscesses: a case control study. BMC Gastroenterol 2022; 22:52. [PMID: 35130860 PMCID: PMC8822858 DOI: 10.1186/s12876-022-02120-4] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 09/28/2021] [Accepted: 01/25/2022] [Indexed: 11/10/2022] Open
Abstract
BACKGROUND Juxta-papillary duodenal diverticulum (JPDD) has been associated with obstructive jaundice and ascending cholangitis. Potential mechanisms include periampullary colonization of pathogenic bacteria and mechanical obstruction. However, the relation of JPDD with pyogenic liver abscess (PLA) has not been reported. Moreover, approximately one third of patients with PLA have no identifiable risk factors and are labelled as "cryptogenic". We hypothesized that JPDD is an unidentified risk factor for cryptogenic PLA and the aim of this study was to examine this association. METHODS We conducted a retrospective chart review to identify cases of PLA (n = 66) and compare those to matched controls (n = 66). 66 patients met the study inclusion criteria of a diagnosis of PLA using computerized tomography (CT) imaging and either positive culture or confirmed resolution after antibiotic therapy. Patients with diagnoses of amebic liver abscess, traumatic liver abscess, post cholecystectomy liver abscess, concurrent acute cholecystitis, and hepatobiliary malignancy were excluded. Controls were identified from a radiology database and matched one-to-one with the cases by age and sex. Demographic and clinical data was extracted from electronic medical records. CT scan images of all cases and controls were reviewed by a single expert radiologist to identify the presence of JPDD. Statistical tests including Chi-square and t-test with multiple logistic regression were used to examine the group differences in JPDD and other factors. RESULTS Among 132 study samples, 13.6% (9/66) of the cases were found to have JPDD, compared to 3.0% (2/66) among controls (p = 0.03). This corresponded to an odds ratio (OR) of 5.05 [OR 5.05; CI 1.05-24.4] on multiple logistic regression analysis. In addition, 1/3rd of PLA cases with JPDD had no other traditional risk factors (cryptogenic PLA). However, a statistically significant association of JPDD with cryptogenic PLA could not be established possibly because of a small number of cases. We found significantly high rate of diabetes mellitus (DM) (42.4%; n = 28/66) among cases compared to controls (21.2%; n = 14/66; p = 0.01). CONCLUSION We found a significant association between JPDD and PLA. We need studies with larger sample sizes to confirm this relationship and to explore if JPDD could be related to cryptogenic liver abscesses.
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Affiliation(s)
- Uday Shankar
- Gastroenterology Division, Department of Medicine, Icahn School of Medicine at Elmhurst Hospital, Elmhurst, NY, 11373, USA. .,Digestive Disease Center, Trinity Health of New England and St. Mary's Hospital, 133 Scovill Street, Suite 101, Waterbury, CT, 06706, USA.
| | - Priyanka Bhandari
- Department of Medicine, Icahn School of Medicine at Elmhurst Hospital, Elmhurst, NY, 11373, USA
| | - Ankur Panchal
- Department of Medicine, Icahn School of Medicine at Elmhurst Hospital, Elmhurst, NY, 11373, USA
| | - David Weeks
- Department of Radiology, Icahn School of Medicine at Elmhurst Hospital, Elmhurst, NY, 11373, USA
| | - Helen Wu
- Connecticut Convergence Institute, Department of Psychiatry, University of Connecticut Health Center, Farmington, CT, 06312, USA
| | - Fufei Chen
- Connecticut Convergence Institute, University of Connecticut Health Center, Farmington, CT, 06312, USA
| | - Narinder Maheshwari
- Department of Medicine, University of Connecticut Health Center, Farmington, CT, USA
| | - Raghav Bansal
- Gastroenterology Division, Department of Medicine, Icahn School of Medicine at Elmhurst Hospital, Elmhurst, NY, 11373, USA
| | - Aaron Walfish
- Gastroenterology Division, Department of Medicine, Icahn School of Medicine at Elmhurst Hospital, Elmhurst, NY, 11373, USA
| | - Joel Baum
- Gastroenterology Division, Department of Medicine, Icahn School of Medicine at Elmhurst Hospital, Elmhurst, NY, 11373, USA
| | - Priya A Jamidar
- Division of Digestive Diseases and Advanced Endoscopy, Yale University School of Medicine, New Haven, CT, USA
| | - Joshua Aron
- Gastroenterology Division, Department of Medicine, Icahn School of Medicine at Elmhurst Hospital, Elmhurst, NY, 11373, USA
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20
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Hu H, Shao W, Liu Q, Liu N, Wang Q, Xu J, Zhang X, Weng Z, Lu Q, Jiao L, Chen C, Sun H, Jiang Z, Zhang X, Gu A. Gut microbiota promotes cholesterol gallstone formation by modulating bile acid composition and biliary cholesterol secretion. Nat Commun 2022; 13:252. [PMID: 35017486 PMCID: PMC8752841 DOI: 10.1038/s41467-021-27758-8] [Citation(s) in RCA: 75] [Impact Index Per Article: 37.5] [Reference Citation Analysis] [Abstract] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 06/23/2019] [Accepted: 12/03/2021] [Indexed: 12/11/2022] Open
Abstract
Cholesterol gallstone disease is a worldwide common disease. Cholesterol supersaturation in gallbladder bile is the prerequisite for its pathogenesis, while the mechanism is not completely understood. In this study, we find enrichment of gut microbiota (especially Desulfovibrionales) in patients with gallstone disease. Fecal transplantation of gut microbiota from gallstone patients to gallstone-resistant strain of mice can induce gallstone formation. Carrying Desulfovibrionales is associated with enhanced cecal secondary bile acids production and increase of bile acid hydrophobicity facilitating intestinal cholesterol absorption. Meanwhile, the metabolic product of Desulfovibrionales, H2S increase and is shown to induce hepatic FXR and inhibit CYP7A1 expression. Mice carrying Desulfovibrionales present induction of hepatic expression of cholesterol transporters Abcg5/g8 to promote biliary secretion of cholesterol as well. Our study demonstrates the role of gut microbiota, Desulfovibrionales, as an environmental regulator contributing to gallstone formation through its influence on bile acid and cholesterol metabolism. Metabolic conditions associated with alterations of the gut microbiome, such as obesity and diabetes, predispose to gallstone disease. Here the authors demonstrate that the gut microbiome, in particular the genus Desulfovibrionale, contribute to gallstone formation in mice.
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Affiliation(s)
- Hai Hu
- Center of Gallbladder Disease, Shanghai East Hospital, Institute of Gallstone Disease, Tongji University School of Medicine, Shanghai, China
| | - Wentao Shao
- Center of Gallbladder Disease, Shanghai East Hospital, Institute of Gallstone Disease, Tongji University School of Medicine, Shanghai, China.,State Key Laboratory of Reproductive Medicine, School of Public Health, Nanjing Medical University, Nanjing, Jiangsu, China.,Collaborative Innovation Center for Cardiovascular Disease Translational Medicine, Center for Global Health, Nanjing Medical University, Nanjing, Jiangsu, China.,School of Instrument Science and Engineering, Southeast University, Nanjing, Jiangsu, China
| | - Qian Liu
- State Key Laboratory of Reproductive Medicine, School of Public Health, Nanjing Medical University, Nanjing, Jiangsu, China.,Collaborative Innovation Center for Cardiovascular Disease Translational Medicine, Center for Global Health, Nanjing Medical University, Nanjing, Jiangsu, China.,State Key Laboratory of Reproductive Medicine (Suzhou Center), Gusu School, Nanjing Medical University, Suzhou, Jiangsu, China
| | - Ning Liu
- School of Electronic Information and Electrical Engineering, Shanghai Jiao Tong University, Shanghai, China
| | - Qihan Wang
- Center of Gallbladder Disease, Shanghai East Hospital, Institute of Gallstone Disease, Tongji University School of Medicine, Shanghai, China
| | - Jin Xu
- State Key Laboratory of Reproductive Medicine, School of Public Health, Nanjing Medical University, Nanjing, Jiangsu, China.,Collaborative Innovation Center for Cardiovascular Disease Translational Medicine, Center for Global Health, Nanjing Medical University, Nanjing, Jiangsu, China
| | - Xin Zhang
- State Key Laboratory of Reproductive Medicine, School of Public Health, Nanjing Medical University, Nanjing, Jiangsu, China.,Collaborative Innovation Center for Cardiovascular Disease Translational Medicine, Center for Global Health, Nanjing Medical University, Nanjing, Jiangsu, China
| | - Zhenkun Weng
- State Key Laboratory of Reproductive Medicine, School of Public Health, Nanjing Medical University, Nanjing, Jiangsu, China.,Collaborative Innovation Center for Cardiovascular Disease Translational Medicine, Center for Global Health, Nanjing Medical University, Nanjing, Jiangsu, China
| | - Qifan Lu
- Center of Gallbladder Disease, Shanghai East Hospital, Institute of Gallstone Disease, Tongji University School of Medicine, Shanghai, China
| | - Long Jiao
- Center of Gallbladder Disease, Shanghai East Hospital, Institute of Gallstone Disease, Tongji University School of Medicine, Shanghai, China
| | - Chaobo Chen
- Center of Gallbladder Disease, Shanghai East Hospital, Institute of Gallstone Disease, Tongji University School of Medicine, Shanghai, China
| | - Haidong Sun
- Center of Gallbladder Disease, Shanghai East Hospital, Institute of Gallstone Disease, Tongji University School of Medicine, Shanghai, China
| | - Zhaoyan Jiang
- Center of Gallbladder Disease, Shanghai East Hospital, Institute of Gallstone Disease, Tongji University School of Medicine, Shanghai, China.
| | - Xiaoping Zhang
- Department of Institution of Interventional and Vascular Surgery, Tongji University School of Medicine, Shanghai, China.
| | - Aihua Gu
- State Key Laboratory of Reproductive Medicine, School of Public Health, Nanjing Medical University, Nanjing, Jiangsu, China. .,Collaborative Innovation Center for Cardiovascular Disease Translational Medicine, Center for Global Health, Nanjing Medical University, Nanjing, Jiangsu, China.
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21
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Lu Y, Hu L, Song J, Wan J, Chen H, Yin J. Gallstone disease and nonalcoholic fatty liver disease in patients with type 2 diabetes: a cross-sectional study. BMC Endocr Disord 2021; 21:231. [PMID: 34794397 PMCID: PMC8603504 DOI: 10.1186/s12902-021-00899-z] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 08/10/2021] [Accepted: 11/08/2021] [Indexed: 11/10/2022] Open
Abstract
BACKGROUND Nonalcoholic fatty liver disease (NAFLD) and gallstone disease (GSD) often coexist in the general population owing to shared risk factors. This study explored the relationship between NAFLD and GSD in patients with type 2 diabetes. METHODS We conducted a retrospective cross-sectional analysis of 4325 patients with type 2 diabetes. GSD and NAFLD were confirmed using ultrasonography. GSD was defined as either asymptomatic gallstones or previous cholecystectomy, and each was analyzed separately. RESULT There was no significant difference in the prevalence of GSD between patients with and without NAFLD (23.8% vs. 21.2%, P = 0.15). After case-control matching (1:1) of baseline data such as age, sex, duration of diabetes, and HbA1c between patients with and without NAFLD, there was still no significant difference in the prevalence of GSD (25.5% vs. 23.6%, P = 0.15). The prevalence of NAFLD in patients with asymptomatic gallstones was lower than that of patients without GSD (38.6% vs. 47.3%, P < 0.001), whereas the prevalence in those who had undergone cholecystectomy was much higher (61.2% vs. 47.3%, P < 0.001). The ratio of cholecystectomy to asymptomatic gallstone in patients with or without NAFLD was 1.97 and 0.79, respectively. The rate of cholecystectomy was higher in the patients with NAFLD than in those without NAFLD (15.8% vs. 9.3%, P < 0.001), consistent with the result after case-control matching (17.3% vs. 11.2%, P < 0.001). Multivariate logistic regression analysis, after adjusting for numerous potential confounding factors, revealed that GSD (OR = 1.241, 95%CI: 1.036-1.488, P = 0.002) and cholecystectomy (OR = 1.946, 95%CI: 1.546-2.445, P < 0.001) were both strongly associated with NAFLD. However, asymptomatic gallstone (OR = 0.663, 95%CI: 0.513-0.856, P = 0.002) seemed to be negatively correlated with NAFLD. CONCLUSIONS The prevalence of GSD was similar in patients with type 2 diabetes with and without NAFLD. The higher proportion of cholecystectomy and lower proportion of asymptomatic gallstones in patients with NAFLD suggests that NAFLD may increase the risk of complications of GSD.
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Affiliation(s)
- Ye Lu
- Department of Endocrinology and Metabolism, Shanghai Eighth People's Hospital, Shanghai, 200235, China
| | - Lili Hu
- Department of Endocrinology and Metabolism, Shanghai Jiao Tong University Affiliated Sixth People's Hospital, Shanghai Clinical Center for Metabolic Diseases, Shanghai Key Laboratory of Diabetes Mellitus, Shanghai Diabetes Institute, Shanghai, 200233, China
| | - Jing Song
- Department of Endocrinology and Metabolism, Shanghai Eighth People's Hospital, Shanghai, 200235, China
| | - Jing Wan
- Department of Endocrinology and Metabolism, Shanghai Eighth People's Hospital, Shanghai, 200235, China
| | - Haibing Chen
- Department of Endocrinology and Metabolism, Shanghai 10th People's Hospital, Tongji University, Shanghai, 200072, China.
| | - Jun Yin
- Department of Endocrinology and Metabolism, Shanghai Eighth People's Hospital, Shanghai, 200235, China.
- Department of Endocrinology and Metabolism, Shanghai Jiao Tong University Affiliated Sixth People's Hospital, Shanghai Clinical Center for Metabolic Diseases, Shanghai Key Laboratory of Diabetes Mellitus, Shanghai Diabetes Institute, Shanghai, 200233, China.
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22
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Li L, Huang L, Yang A, Feng X, Mo Z, Zhang H, Yang X. Causal Relationship Between Complement C3, C4, and Nonalcoholic Fatty Liver Disease: Bidirectional Mendelian Randomization Analysis. PHENOMICS (CHAM, SWITZERLAND) 2021; 1:211-221. [PMID: 36939807 PMCID: PMC9590569 DOI: 10.1007/s43657-021-00023-0] [Citation(s) in RCA: 6] [Impact Index Per Article: 2.0] [Reference Citation Analysis] [Abstract] [Key Words] [Grants] [Track Full Text] [Subscribe] [Scholar Register] [Received: 10/25/2020] [Revised: 08/07/2021] [Accepted: 08/18/2021] [Indexed: 02/07/2023]
Abstract
The complement system is activated during the development of nonalcoholic fatty liver disease (NAFLD). We aimed to evaluate the causal relationship between serum C3 and C4 levels and NAFLD. After exclusion criteria, a total of 1600 Chinese Han men from the Fangchenggang Area Male Health and Examination Survey cohort were enrolled in cross-sectional analysis, while 572 participants were included in the longitudinal analysis (average follow-up of 4 years). We performed a bidirectional Mendelian randomization (MR) analysis using two C3-related, eight C4-related and three NAFLD-related gene loci as instrumental variables to evaluate the causal associations between C3, C4, and NAFLD risk in cross-sectional analysis. Per SD increase in C3 levels was significantly associated with higher risk of NAFLD (OR = 1.65, 95% CI 1.40, 1.94) in cross-sectional analysis while C4 was not (OR = 1.04, 95% CI 0.89, 1.21). Longitudinal analysis produced similar results (HRC3 = 1.20, 95% CI 1.02, 1.42; HRC4 = 1.10, 95% CI 0.94, 1.28). In MR analysis, there were no causal relationships for genetically determined C3 levels and NAFLD risk using unweighted or weighted GRS_C3 (βE_unweighted = -0.019, 95% CI -0.019, -0.019, p = 0.202; βE_weighted = -0.019, 95% CI -0.019, -0.019, p = 0.322). Conversely, serum C3 levels were significantly effected by the genetically determined NAFLD (βE_unweighted = 0.020, 95% CI 0.020, 0.020, p = 0.004; βE_weighted = 0.021, 95% CI 0.020, 0.021, p = 0.004). Neither the direction from C4 to NAFLD nor the one from NAFLD to C4 showed significant association. Our results support that the change in serum C3 levels but not C4 levels might be caused by NAFLD in Chinese Han men. Supplementary Information The online version contains supplementary material available at 10.1007/s43657-021-00023-0.
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Affiliation(s)
- Longman Li
- grid.256607.00000 0004 1798 2653Center for Genomic and Personalized Medicine, Guangxi Key Laboratory for Genomic and Personalized Medicine, Guangxi Collaborative Innovation Center for Genomic and Personalized Medicine, Guangxi Medical University, Nanning, 530021 Guangxi China
- Nanhu Zhuxi Community Healthcare Center, Qingxiu District, Nanning, 530021 Guangxi China
- grid.412594.fDepartment of Urology, Institute of Urology and Nephrology, The First Affiliated Hospital of Guangxi Medical University, Nanning, 530021 Guangxi China
| | - Lulu Huang
- grid.256607.00000 0004 1798 2653Center for Genomic and Personalized Medicine, Guangxi Key Laboratory for Genomic and Personalized Medicine, Guangxi Collaborative Innovation Center for Genomic and Personalized Medicine, Guangxi Medical University, Nanning, 530021 Guangxi China
| | - Aimin Yang
- grid.194645.b0000000121742757School of Public Health, The University of Hong Kong, Hong Kong SAR, 999077 China
| | - Xiuming Feng
- grid.256607.00000 0004 1798 2653Center for Genomic and Personalized Medicine, Guangxi Key Laboratory for Genomic and Personalized Medicine, Guangxi Collaborative Innovation Center for Genomic and Personalized Medicine, Guangxi Medical University, Nanning, 530021 Guangxi China
- grid.256607.00000 0004 1798 2653Department of Occupational Health and Environmental Health, School of Public Health, Guangxi Medical University, Nanning, 530021 Guangxi China
| | - Zengnan Mo
- grid.256607.00000 0004 1798 2653Center for Genomic and Personalized Medicine, Guangxi Key Laboratory for Genomic and Personalized Medicine, Guangxi Collaborative Innovation Center for Genomic and Personalized Medicine, Guangxi Medical University, Nanning, 530021 Guangxi China
- grid.412594.fDepartment of Urology, Institute of Urology and Nephrology, The First Affiliated Hospital of Guangxi Medical University, Nanning, 530021 Guangxi China
| | - Haiying Zhang
- grid.256607.00000 0004 1798 2653Center for Genomic and Personalized Medicine, Guangxi Key Laboratory for Genomic and Personalized Medicine, Guangxi Collaborative Innovation Center for Genomic and Personalized Medicine, Guangxi Medical University, Nanning, 530021 Guangxi China
- grid.256607.00000 0004 1798 2653Department of Occupational Health and Environmental Health, School of Public Health, Guangxi Medical University, Nanning, 530021 Guangxi China
| | - Xiaobo Yang
- grid.256607.00000 0004 1798 2653Center for Genomic and Personalized Medicine, Guangxi Key Laboratory for Genomic and Personalized Medicine, Guangxi Collaborative Innovation Center for Genomic and Personalized Medicine, Guangxi Medical University, Nanning, 530021 Guangxi China
- grid.256607.00000 0004 1798 2653Department of Occupational Health and Environmental Health, School of Public Health, Guangxi Medical University, Nanning, 530021 Guangxi China
- grid.440719.f0000 0004 1800 187XDepartment of Public Health, School of Medicine, Guangxi University of Science and Technology, Liuzhou, 545006 Guangxi China
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23
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Zhang Y, Li S, Cao Z, Cheng Y, Xu C, Yang H, Sun L, Jiao H, Wang J, Li WD, Wang Y. A network analysis framework of genetic and nongenetic risks for type 2 diabetes. Rev Endocr Metab Disord 2021; 22:461-469. [PMID: 32926312 DOI: 10.1007/s11154-020-09585-2] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.3] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Accepted: 08/26/2020] [Indexed: 12/25/2022]
Abstract
Both genetic and nongenetic factors have been found to be associated with type 2 diabetes, however, the correlation between them is still unclear. In the present study, we aimed to fully decipher the nongenetic and genetic factor association network for type 2 diabetes. We identified risk factors for type 2 diabetes by systematically searching for related meta-analyses and genome-wide association studies (GWAS) database. Among a total of 27,822 studies screened, 202 articles were eligible, from which 174 nongenetic factors and 210 genetic factors associated with type 2 diabetes were identified. Then, we obtained 584 associations between the nongenetic and genetic factors of type 2 diabetes, based on which a risk factor association network was conducted. The nongenetic factors could be classified into seven categories according to the Global Burden of Diseases (GBD). Of these seven categories of nongenetic factors, five were found to be correlated with genes associated with type 2 diabetes, including environmental risks, behavioral risks, metabolic risks, related disease of type 2 diabetes, and treatments. Specifically, air pollutants of environmental risks, alcohol using of behavioral risks, obesity of metabolic risks, rheumatoid arthritis of related disease risk, and simvastatin of treatment was correlated with the largest number of genes. In summary, the correlation between genetic factors and nongenetic factors identified in this study indicates that there is a common phenotype-genotype association in type 2 diabetes, with the combinations of genotypes ("genetic signature") clustering in phenotypes related to type 2 diabetes. Thus, we should take a systematic approach to explore the relationship of various factors for type 2 diabetes, as well as other noncommunicable diseases.
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Affiliation(s)
- Yuan Zhang
- School of Public Health, Tianjin Medical University, Tianjin, 300070, China
| | - Shu Li
- School of Public Health, Tianjin Medical University, Tianjin, 300070, China
| | - Zhi Cao
- School of Public Health, Tianjin Medical University, Tianjin, 300070, China
| | - Yangyang Cheng
- School of Public Health, Tianjin Medical University, Tianjin, 300070, China
| | - Chenjie Xu
- School of Public Health, Tianjin Medical University, Tianjin, 300070, China
| | - Hongxi Yang
- School of Public Health, Tianjin Medical University, Tianjin, 300070, China
| | - Li Sun
- School of Public Health, Tianjin Medical University, Tianjin, 300070, China
- School of Nursing, Tianjin Medical University, Tianjin, China
| | - Hongxiao Jiao
- Department of Genetics, School of Basic Medical Sciences, Tianjin Medical University, Tianjin, 300070, China
| | - Ju Wang
- School of Biomedical Engineering and Technology, Tianjin Medical University, Tianjin, China
| | - Wei-Dong Li
- Department of Genetics, School of Basic Medical Sciences, Tianjin Medical University, Tianjin, 300070, China.
| | - Yaogang Wang
- School of Public Health, Tianjin Medical University, Tianjin, 300070, China.
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Pang Y, Lv J, Kartsonaki C, Guo Y, Yu C, Chen Y, Yang L, Bian Z, Millwood IY, Walters RG, Li X, Zou J, Holmes MV, Chen J, Chen Z, Li L. Causal effects of gallstone disease on risk of gastrointestinal cancer in Chinese. Br J Cancer 2021; 124:1864-1872. [PMID: 33772150 PMCID: PMC8144569 DOI: 10.1038/s41416-021-01325-w] [Citation(s) in RCA: 11] [Impact Index Per Article: 3.7] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 06/09/2020] [Revised: 02/05/2021] [Accepted: 02/19/2021] [Indexed: 02/01/2023] Open
Abstract
BACKGROUND Gallstone disease (GSD) is associated with a higher risk of gastrointestinal (GI) cancer. However, it is unclear whether the associations are causal. METHODS The prospective China Kadoorie Biobank (CKB) recorded 17,598 cases of GI cancer among 510,137 participants without cancer at baseline during 10 years of follow-up. Cox regression was used to estimate hazard ratios (HRs) for specific cancer by GSD status and duration. Mendelian randomisation was conducted to assess the genetic associations of GSD with specific cancer. RESULTS Overall 6% of participants had symptomatic GSD at baseline. Compared with those without GSD, individuals with symptomatic GSD had adjusted HRs of 1.13 (1.01-1.29) for colorectal, 2.01 (1.78-2.26) for liver, 3.70 (2.88-4.87) for gallbladder, 2.31 (1.78-3.07) for biliary tract, and 1.38 (1.18-1.74) for pancreatic cancer. Compared with participants without GSD, the risks of colorectal, liver, gallbladder, biliary tract, and pancreatic cancer were highest during 0 to <5 years following disease diagnosis. There was evidence of genetic associations of GSD with these cancers, with odds ratios per 1-SD genetic score of 1.08 (1.05-1.11) for colorectal, 1.22 (1.19-1.25) for liver, 1.56 (1.49-1.64) for gallbladder, 1.39 (1.31-1.46) for biliary tract, and 1.16 (1.10-1.22) for pancreatic cancer. When meta-analysing the genetic estimates in CKB and UK Biobank, there was evidence of causal associations of GSD with colon cancer, gallbladder and biliary tract cancer (GBTC), and total GI cancer (RR per 1-SD: 1.05 [0.99-1.11], 2.00 [1.91-2.09], and 1.09 [1.05-1.13]). CONCLUSIONS GSD was associated with higher risks of several GI cancers, warranting future studies on the underlying mechanisms.
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Affiliation(s)
- Yuanjie Pang
- Department of Epidemiology and Biostatistics, School of Public Health, Peking University Health Science Centre, Beijing, China
| | - Jun Lv
- Department of Epidemiology and Biostatistics, School of Public Health, Peking University Health Science Centre, Beijing, China
- Peking University Center for Public Health and Epidemic Preparedness & Response (PKU-PHEPR), Peking University, 38 Xueyuan Road, Beijing, 100191, China
| | - Christiana Kartsonaki
- Clinical Trial Service Unit & Epidemiological Studies Unit (CTSU), Nuffield Department of Population Health, Big Data Institute Building, Roosevelt Drive, University of Oxford, Oxford, UK
- Medical Research Council Population Health Research Unit (MRC PHRU) at the University of Oxford, Nuffield Department of Population Health, University of Oxford, Oxford, UK
| | - Yu Guo
- Chinese Academy of Medical Sciences, Beijing, China
| | - Canqing Yu
- Department of Epidemiology and Biostatistics, School of Public Health, Peking University Health Science Centre, Beijing, China
- Peking University Center for Public Health and Epidemic Preparedness & Response (PKU-PHEPR), Peking University, 38 Xueyuan Road, Beijing, 100191, China
| | - Yiping Chen
- Clinical Trial Service Unit & Epidemiological Studies Unit (CTSU), Nuffield Department of Population Health, Big Data Institute Building, Roosevelt Drive, University of Oxford, Oxford, UK
- Medical Research Council Population Health Research Unit (MRC PHRU) at the University of Oxford, Nuffield Department of Population Health, University of Oxford, Oxford, UK
| | - Ling Yang
- Clinical Trial Service Unit & Epidemiological Studies Unit (CTSU), Nuffield Department of Population Health, Big Data Institute Building, Roosevelt Drive, University of Oxford, Oxford, UK
- Medical Research Council Population Health Research Unit (MRC PHRU) at the University of Oxford, Nuffield Department of Population Health, University of Oxford, Oxford, UK
| | - Zheng Bian
- Chinese Academy of Medical Sciences, Beijing, China
| | - Iona Y Millwood
- Clinical Trial Service Unit & Epidemiological Studies Unit (CTSU), Nuffield Department of Population Health, Big Data Institute Building, Roosevelt Drive, University of Oxford, Oxford, UK
- Medical Research Council Population Health Research Unit (MRC PHRU) at the University of Oxford, Nuffield Department of Population Health, University of Oxford, Oxford, UK
| | - Robin G Walters
- Clinical Trial Service Unit & Epidemiological Studies Unit (CTSU), Nuffield Department of Population Health, Big Data Institute Building, Roosevelt Drive, University of Oxford, Oxford, UK
- Medical Research Council Population Health Research Unit (MRC PHRU) at the University of Oxford, Nuffield Department of Population Health, University of Oxford, Oxford, UK
| | - Xiaojun Li
- Jili Street Community Health Service Center, Liuyang, China
| | - Ju Zou
- Jili Street Community Health Service Center, Liuyang, China
| | - Michael V Holmes
- Clinical Trial Service Unit & Epidemiological Studies Unit (CTSU), Nuffield Department of Population Health, Big Data Institute Building, Roosevelt Drive, University of Oxford, Oxford, UK
- Medical Research Council Population Health Research Unit (MRC PHRU) at the University of Oxford, Nuffield Department of Population Health, University of Oxford, Oxford, UK
- National Institute for Health Research Oxford Biomedical Research Centre, Oxford University Hospital, Oxford, UK
| | - Junshi Chen
- National Center for Food Safety Risk Assessment, Beijing, China
| | - Zhengming Chen
- Clinical Trial Service Unit & Epidemiological Studies Unit (CTSU), Nuffield Department of Population Health, Big Data Institute Building, Roosevelt Drive, University of Oxford, Oxford, UK
- Medical Research Council Population Health Research Unit (MRC PHRU) at the University of Oxford, Nuffield Department of Population Health, University of Oxford, Oxford, UK
| | - Liming Li
- Department of Epidemiology and Biostatistics, School of Public Health, Peking University Health Science Centre, Beijing, China.
- Peking University Center for Public Health and Epidemic Preparedness & Response (PKU-PHEPR), Peking University, 38 Xueyuan Road, Beijing, 100191, China.
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25
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Lv F, Wang G, Ding D, Shen C, Liu J, Ji F, Kang Y. Epidemiological survey to determine the prevalence of cholecystolithiasis in Uyghur, Kazakh, and Han Ethnic Groups in the Xinjiang Uyghur Autonomous Region of China: cross-sectional studies. BMC Gastroenterol 2021; 21:125. [PMID: 33736598 PMCID: PMC7977306 DOI: 10.1186/s12876-021-01677-w] [Citation(s) in RCA: 3] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 03/01/2020] [Accepted: 02/17/2021] [Indexed: 01/30/2023] Open
Abstract
Background This study was performed to understand the prevalence of and possible risk factors for cholecystolithiasis in Uyghur, Kazakh, Han, and other ethnic groups in the Xinjiang Uyghur autonomous region of China.
Methods Subjects were enrolled using typical case sampling and multistage stratified random sampling. We collected epidemiological data regarding cholecystolithiasis using a standard questionnaire of risk factors for gallbladder disease in Xinjiang. The subjects completed the questionnaire and underwent an abdominal ultrasound examination of the liver and gallbladder. Results This study included 5454 Xinjiang residents aged ≥ 18 years. The prevalence of cholecystolithiasis was 15% (11.3% in men and 17.1% in women), and the sex difference was statistically significant (male-to-female odds ratio [OR] 1.867; p < 0.001). The cholecystolithiasis prevalence was also significantly different among the Han, Uyghur, Kazakh, and other ethnic groups (13.1%, 20.8%, 11.5%, and 16.8%, respectively; p < 0.001). The prevalence of cholecystolithiasis in northern Xinjiang was 13.5% and that in southern Xinjiang was 17.5%; this difference was also statistically significant (OR 1.599; p < 0.001). Across all ethnic groups, the cholecystolithiasis prevalence significantly increased with age (all p < 0.01) and body mass index (BMI) (all p < 0.01). A multivariate logistic regression analysis indicated that cholecystolithiasis prevalence was associated with sex, age, BMI, smoking, diabetes, fatty liver disease, and geographical differences between northern and southern Xinjiang. Conclusions The prevalence of cholecystolithiasis was significantly higher in the Uyghur ethnic group than in the Han, Kazakh, and other ethnic groups; in women than in men; in southern Xinjiang than in northern Xinjiang; in patients with fatty liver disease; and increased with age and BMI. Our findings could provide a theoretical basis for the formulation of control measures for cholecystolithiasis. Supplementary Information The online version contains supplementary material available at 10.1186/s12876-021-01677-w.
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Affiliation(s)
- Fujun Lv
- Department of Surgery, Kaifeng Central Hospital, Kaifeng, 475000, Henan Province, China
| | - Guangjun Wang
- Department of General Surgery, General Hospital of Xinjiang Military Command, Urumqi, 830000, Xinjiang Uygur Autonomous Region, China
| | - Dandan Ding
- Department of Obstetrics, Kaifeng Obstetrics and Gynecology Hospital, Kaifeng, 475000, Henan Province, China
| | - Caifu Shen
- Department of General Surgery, General Hospital of Xinjiang Military Command, Urumqi, 830000, Xinjiang Uygur Autonomous Region, China
| | - Jiangwei Liu
- Department of General Surgery, General Hospital of Xinjiang Military Command, Urumqi, 830000, Xinjiang Uygur Autonomous Region, China.
| | - Feng Ji
- Department of Surgery, Kaifeng Central Hospital, Kaifeng, 475000, Henan Province, China
| | - Yan Kang
- The 69240 Army Hospital of PLA, Xinjiang, Ürümqi, 830000, China
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26
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Culliford R, Cornish AJ, Law PJ, Farrington SM, Palin K, Jenkins MA, Casey G, Hoffmeister M, Brenner H, Chang-Claude J, Kirac I, Maughan T, Brezina S, Gsur A, Cheadle JP, Aaltonen LA, Dunlop MG, Houlston RS. Lack of an association between gallstone disease and bilirubin levels with risk of colorectal cancer: a Mendelian randomisation analysis. Br J Cancer 2021; 124:1169-1174. [PMID: 33414539 PMCID: PMC7961009 DOI: 10.1038/s41416-020-01211-x] [Citation(s) in RCA: 3] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 05/14/2020] [Revised: 10/09/2020] [Accepted: 11/25/2020] [Indexed: 01/29/2023] Open
Abstract
BACKGROUND Epidemiological studies of the relationship between gallstone disease and circulating levels of bilirubin with risk of developing colorectal cancer (CRC) have been inconsistent. To address possible confounding and reverse causation, we examine the relationship between these potential risk factors and CRC using Mendelian randomisation (MR). METHODS We used two-sample MR to examine the relationship between genetic liability to gallstone disease and circulating levels of bilirubin with CRC in 26,397 patients and 41,481 controls. We calculated the odds ratio per genetically predicted SD unit increase in log bilirubin levels (ORSD) for CRC and tested for a non-zero causal effect of gallstones on CRC. Sensitivity analysis was applied to identify violations of estimator assumptions. RESULTS No association between either gallstone disease (P value = 0.60) or circulating levels of bilirubin (ORSD = 1.00, 95% confidence interval (CI) = 0.96-1.03, P value = 0.90) with CRC was shown. CONCLUSIONS Despite the large scale of this study, we found no evidence for a causal relationship between either circulating levels of bilirubin or gallstone disease with risk of developing CRC. While the magnitude of effect suggested by some observational studies can confidently be excluded, we cannot exclude the possibility of smaller effect sizes and non-linear relationships.
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Affiliation(s)
- Richard Culliford
- Division of Genetics and Epidemiology, The Institute of Cancer Research, London, UK.
| | - Alex J Cornish
- Division of Genetics and Epidemiology, The Institute of Cancer Research, London, UK
| | - Philip J Law
- Division of Genetics and Epidemiology, The Institute of Cancer Research, London, UK
| | - Susan M Farrington
- Cancer Research UK Edinburgh Centre and Medical Research Council Human Genetics Unit, Institute of Genetics and Molecular Medicine, University of Edinburgh, Edinburgh, UK
| | - Kimmo Palin
- Medicum and Genome-Scale Biology Research Program, Research Programs Units, Department of Medical and Clinical Genetics, University of Helsinki, Helsinki, Finland
| | - Mark A Jenkins
- Centre for Epidemiology and Biostatistics, University of Melbourne, Melbourne, VIC, Australia
| | - Graham Casey
- Centre for Public Health Genomics, University of Virginia, Virginia, VA, USA
| | - Michael Hoffmeister
- Division of Clinical Epidemiology and Aging Research, German Cancer Research Center, Heidelberg, Germany
| | - Hermann Brenner
- Division of Clinical Epidemiology and Aging Research, German Cancer Research Center, Heidelberg, Germany
- Division of Preventive Oncology, German Cancer Research Center, Heidelberg, Germany
- German Cancer Consortium, German Cancer Research Center, Heidelberg, Germany
| | - Jenny Chang-Claude
- Unit of Genetic Epidemiology, German Cancer Research Center, Heidelberg, Germany
- Cancer Epidemiology Group, University Medical Center Hamburg-Eppendorf, University Cancer Center Hamburg, Hamburg, Germany
| | - Iva Kirac
- Department of Surgical Oncology, University Hospital for Tumours, Sestre milosrdnice University Hospital Centre, Zagreb, Croatia
| | - Tim Maughan
- Department of Oncology, University of Oxford, Oxford, UK
| | - Stefanie Brezina
- Institute of Cancer Research, Department of Medicine I, Medical University of Vienna, Vienna, Austria
| | - Andrea Gsur
- Institute of Cancer Research, Department of Medicine I, Medical University of Vienna, Vienna, Austria
| | - Jeremy P Cheadle
- Institute of Medical Genetics, School of Medicine, Cardiff University, Cardiff, UK
| | - Lauri A Aaltonen
- Medicum and Genome-Scale Biology Research Program, Research Programs Units, Department of Medical and Clinical Genetics, University of Helsinki, Helsinki, Finland
| | - Malcom G Dunlop
- Cancer Research UK Edinburgh Centre and Medical Research Council Human Genetics Unit, Institute of Genetics and Molecular Medicine, University of Edinburgh, Edinburgh, UK
| | - Richard S Houlston
- Division of Genetics and Epidemiology, The Institute of Cancer Research, London, UK
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27
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Zhang YB, Sheng LT, Wei W, Guo H, Yang H, Min X, Guo K, Yang K, Zhang X, He M, Wu T, Pan A. Association of blood lipid profile with incident chronic kidney disease: A Mendelian randomization study. Atherosclerosis 2020; 300:19-25. [DOI: 10.1016/j.atherosclerosis.2020.03.020] [Citation(s) in RCA: 12] [Impact Index Per Article: 3.0] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 10/16/2019] [Revised: 02/14/2020] [Accepted: 03/25/2020] [Indexed: 01/06/2023]
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28
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Feng X, Zhu C, Lee S, Gao J, Zhu P, Yamauchi J, Pan C, Singh S, Qu S, Miller R, Monga SP, Peng Y, Dong HH. Depletion of hepatic forkhead box O1 does not affect cholelithiasis in male and female mice. J Biol Chem 2020; 295:7003-7017. [PMID: 32273342 DOI: 10.1074/jbc.ra119.012272] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 12/11/2019] [Revised: 04/07/2020] [Indexed: 11/06/2022] Open
Abstract
Cholelithiasis is one of the most prevalent gastroenterological diseases and is characterized by the formation of gallstones in the gallbladder. Both clinical and preclinical data indicate that obesity, along with comorbidity insulin resistance, is a predisposing factor for cholelithiasis. Forkhead box O1 (FoxO1) is a key transcription factor that integrates insulin signaling with hepatic metabolism and becomes deregulated in the insulin-resistant liver, contributing to dyslipidemia in obesity. To gain mechanistic insights into how insulin resistance is linked to cholelithiasis, here we determined FoxO1's role in bile acid homeostasis and its contribution to cholelithiasis. We hypothesized that hepatic FoxO1 deregulation links insulin resistance to impaired bile acid metabolism and cholelithiasis. To address this hypothesis, we used the FoxO1LoxP/LoxP-Albumin-Cre system to generate liver-specific FoxO1-knockout mice. FoxO1-knockout mice and age- and sex-matched WT littermates were fed a lithogenic diet, and bile acid metabolism and gallstone formation were assessed in these animals. We showed that FoxO1 affected bile acid homeostasis by regulating hepatic expression of key enzymes in bile acid synthesis and in biliary cholesterol and phospholipid secretion. Furthermore, FoxO1 inhibited hepatic expression of the bile acid receptor farnesoid X receptor and thereby counteracted hepatic farnesoid X receptor signaling. Nonetheless, hepatic FoxO1 depletion neither affected the onset of gallstone disease nor impacted the disease progression, as FoxO1-knockout and control mice of both sexes had similar gallstone weights and incidence rates. These results argue against the notion that FoxO1 is a link between insulin resistance and cholelithiasis.
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Affiliation(s)
- Xiaoyun Feng
- Division of Endocrinology and Diabetes, Department of Pediatrics, UPMC Children's Hospital of Pittsburgh, University of Pittsburgh School of Medicine, Pittsburgh, Pennsylvania 15224.,Department of Endocrinology & Metabolism, Shanghai General Hospital, Shanghai Jiaotong University, Shanghai 200080, China
| | - Cuiling Zhu
- Division of Endocrinology and Diabetes, Department of Pediatrics, UPMC Children's Hospital of Pittsburgh, University of Pittsburgh School of Medicine, Pittsburgh, Pennsylvania 15224.,Department of Endocrinology & Metabolism, Shanghai 10th People's Hospital, Tongji University School of Medicine, Shanghai 200072, China
| | - Sojin Lee
- Division of Endocrinology and Diabetes, Department of Pediatrics, UPMC Children's Hospital of Pittsburgh, University of Pittsburgh School of Medicine, Pittsburgh, Pennsylvania 15224
| | - Jingyang Gao
- Division of Endocrinology and Diabetes, Department of Pediatrics, UPMC Children's Hospital of Pittsburgh, University of Pittsburgh School of Medicine, Pittsburgh, Pennsylvania 15224.,Department of Endocrinology & Metabolism, Shanghai 10th People's Hospital, Tongji University School of Medicine, Shanghai 200072, China
| | - Ping Zhu
- Division of Endocrinology and Diabetes, Department of Pediatrics, UPMC Children's Hospital of Pittsburgh, University of Pittsburgh School of Medicine, Pittsburgh, Pennsylvania 15224.,Department of Endocrinology and Metabolism, Guangzhou Red Cross Hospital, Medical College of Jinan University, Guangzhou 510220, China
| | - Jun Yamauchi
- Division of Endocrinology and Diabetes, Department of Pediatrics, UPMC Children's Hospital of Pittsburgh, University of Pittsburgh School of Medicine, Pittsburgh, Pennsylvania 15224
| | - Chenglin Pan
- Division of Endocrinology and Diabetes, Department of Pediatrics, UPMC Children's Hospital of Pittsburgh, University of Pittsburgh School of Medicine, Pittsburgh, Pennsylvania 15224.,Department of Pediatrics, Shanghai 10th People's Hospital, Tongji University School of Medicine, Shanghai 200072, China
| | - Sucha Singh
- Division of Experimental Pathology, Department of Pathology, University of Pittsburgh School of Medicine, Pittsburgh, Pennsylvania 15224.,Pittsburgh Liver Research Center, Department of Pathology, University of Pittsburgh School of Medicine, Pittsburgh, Pennsylvania 15224
| | - Shen Qu
- Department of Endocrinology & Metabolism, Shanghai 10th People's Hospital, Tongji University School of Medicine, Shanghai 200072, China
| | - Rita Miller
- Division of Endocrinology and Diabetes, Department of Pediatrics, UPMC Children's Hospital of Pittsburgh, University of Pittsburgh School of Medicine, Pittsburgh, Pennsylvania 15224
| | - Satdarshan P Monga
- Division of Experimental Pathology, Department of Pathology, University of Pittsburgh School of Medicine, Pittsburgh, Pennsylvania 15224.,Pittsburgh Liver Research Center, Department of Pathology, University of Pittsburgh School of Medicine, Pittsburgh, Pennsylvania 15224
| | - Yongde Peng
- Department of Endocrinology & Metabolism, Shanghai General Hospital, Shanghai Jiaotong University, Shanghai 200080, China
| | - H Henry Dong
- Division of Endocrinology and Diabetes, Department of Pediatrics, UPMC Children's Hospital of Pittsburgh, University of Pittsburgh School of Medicine, Pittsburgh, Pennsylvania 15224 .,Pittsburgh Liver Research Center, Department of Pathology, University of Pittsburgh School of Medicine, Pittsburgh, Pennsylvania 15224
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29
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Zheng Q, Jiang J, Huo Y, Chen D. Genetic predisposition to type 2 diabetes is associated with severity of coronary artery disease in patients with acute coronary syndromes. Cardiovasc Diabetol 2019; 18:131. [PMID: 31594547 PMCID: PMC6784340 DOI: 10.1186/s12933-019-0930-1] [Citation(s) in RCA: 14] [Impact Index Per Article: 2.8] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 07/21/2019] [Accepted: 09/17/2019] [Indexed: 12/24/2022] Open
Abstract
Background Accumulating evidence has shown that type 2 diabetes (T2D) and coronary artery disease (CAD) may stem from a ‘common soil’. The aim of our study was to examine the association between genetic predisposition to T2D and the risk of severe CAD among patients with acute coronary syndromes (ACS) undergoing angiography. Methods The current case–control study included 1414 ACS patients with at least one major epicardial vessel stenosis > 50% enrolled in the ACS Genetic Study. The severity of CAD was quantified by the number of coronary arteries involved. Genetic risk score (GRS) was calculated using 41 common variants that robustly associated with increased risk of T2D in East Asians. Logistic regression models were used to estimate the association between GRS and the severity of CAD. Results In the age-, sex- and BMI-adjusted model, each additional risk allele was associated with a 6% increased risk of multi-vessel disease (OR = 1.06, 95% CI 1.02–1.09). The OR was 1.43 (95% CI 1.08–1.89) for the risk of severe CAD when comparing the extreme tertiles of T2D-GRS. The association was not reduced after further adjustment for conventional cardiovascular risk factors. Additional adjustment for T2D status in our regression model attenuated the association by approximately one quarter. In subgroup analysis, the strengths of the associations between GRS and the severity of CAD were broadly similar in terms of baseline demographic information and disease characteristics. Conclusions Our data indicated that genetic predisposition to T2D is associated with elevated risk of severe CAD. This association revealed a possible causal relationship and is partially mediated through diabetic status.
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Affiliation(s)
- Qiwen Zheng
- Department of Epidemiology and Biostatistics, School of Public Health, Peking University, No. 38 Xueyuan Road, Haidian District, Beijing, 100191, China
| | - Jie Jiang
- Department of Cardiology, Peking University First Hospital, No. 8 Xishiku Street, Xicheng District, Beijing, 100034, China
| | - Yong Huo
- Department of Cardiology, Peking University First Hospital, No. 8 Xishiku Street, Xicheng District, Beijing, 100034, China.
| | - Dafang Chen
- Department of Epidemiology and Biostatistics, School of Public Health, Peking University, No. 38 Xueyuan Road, Haidian District, Beijing, 100191, China.
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