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Yuan X, Chen H, Zeng K, Xiao J, Liu J, Lin G, Zhang J, Lu T, Cai J, Yao J, Zhang Y, Sui X, Liang J, Zheng J. Causal associations between changes in lipid profiles and risk of gallstone disease: a two-sample Mendelian randomization study. ANNALS OF TRANSLATIONAL MEDICINE 2022; 10:818. [PMID: 36035003 PMCID: PMC9403919 DOI: 10.21037/atm-21-4007] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Grants] [Track Full Text] [Download PDF] [Figures] [Subscribe] [Scholar Register] [Received: 08/02/2021] [Accepted: 02/27/2022] [Indexed: 11/28/2022]
Abstract
Background Nonalcoholic fatty liver disease (NAFLD) has been linked to gallstone disease (GSD) in observational studies; however, the relationships between certain lipid profiles and GSD remain unclear. Methods We adopted a two-sample Mendelian randomization (MR) framework by applying different statistical methods to assess causalities between lipid profiles and GSD. We identified single-nucleotide polymorphisms (SNPs) for blood lipids and NAFLD from separate previous genome-wide association studies (GWASs). Results We retrieved GSD SNPs attributed to 10,520 cases and 361,194 controls and validated our estimates using GWAS summary data from UK Biobank. We also performed sex-stratified analyses. Based on the summary estimates of 41, 59, 35, and 2 SNPs for low-density lipoprotein cholesterol (LDLC), high-density lipoprotein cholesterol (HDLC), triglycerides (TGs), and NAFLD, respectively, we found no evidence of a causal relationship between genetically-predicted lipid profiles and GSD. The odds ratios were 0.995 for LDLC [95% confidence interval (CI): 0.994-0.998] per 0.98 mmol/L, 0.999 for HDLC (95% CI: 0.996-1.003) per 0.41 mmol/L, 0.997 for TGs (95% CI: 0.994-1.001) per 1 mmol/L, and 0.993 for NAFLD (95% CI: 0.984-1.003). No evidence of associations between lipid profile s and GSD in validation MR analyses or the sex-stratification analyses was noted. Conclusions Genetically predicted hyperlipidemia or NAFLD is not causally associated with GSD.
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Affiliation(s)
- Xiaofeng Yuan
- Department of Hepatic Surgery and Liver Transplantation Center, The Third Affiliated Hospital of Sun Yat-sen University, Guangzhou, China
- Department of General Intensive Care Unit, The Third Affiliated Hospital of Sun Yat-sen University, Guangzhou, China
| | - Haitian Chen
- Department of Hepatic Surgery and Liver Transplantation Center, The Third Affiliated Hospital of Sun Yat-sen University, Guangzhou, China
- Guangdong Key Laboratory of Liver Disease Research, Guangdong Province Engineering Laboratory for Transplantation Medicine, The Third Affiliated Hospital of Sun Yat-sen University, Guangzhou, China
| | - Kaining Zeng
- Department of Hepatic Surgery and Liver Transplantation Center, The Third Affiliated Hospital of Sun Yat-sen University, Guangzhou, China
- Guangdong Key Laboratory of Liver Disease Research, Guangdong Province Engineering Laboratory for Transplantation Medicine, The Third Affiliated Hospital of Sun Yat-sen University, Guangzhou, China
| | - Jiaqi Xiao
- Department of Hepatic Surgery and Liver Transplantation Center, The Third Affiliated Hospital of Sun Yat-sen University, Guangzhou, China
- Guangdong Key Laboratory of Liver Disease Research, Guangdong Province Engineering Laboratory for Transplantation Medicine, The Third Affiliated Hospital of Sun Yat-sen University, Guangzhou, China
| | - Jiaqing Liu
- Department of Medical Oncology, Sun Yat-sen University Cancer Center, Guangzhou, China
| | - Guowang Lin
- Microbiome Medicine Center, Division of Laboratory Medicine, Zhujiang Hospital, Southern Medical University, Guangzhou, China
| | - Jiebin Zhang
- Department of Hepatic Surgery and Liver Transplantation Center, The Third Affiliated Hospital of Sun Yat-sen University, Guangzhou, China
- Guangdong Key Laboratory of Liver Disease Research, Guangdong Province Engineering Laboratory for Transplantation Medicine, The Third Affiliated Hospital of Sun Yat-sen University, Guangzhou, China
| | - Tongyu Lu
- Department of Hepatic Surgery and Liver Transplantation Center, The Third Affiliated Hospital of Sun Yat-sen University, Guangzhou, China
- Guangdong Key Laboratory of Liver Disease Research, Guangdong Province Engineering Laboratory for Transplantation Medicine, The Third Affiliated Hospital of Sun Yat-sen University, Guangzhou, China
| | - Jianye Cai
- Department of Hepatic Surgery and Liver Transplantation Center, The Third Affiliated Hospital of Sun Yat-sen University, Guangzhou, China
- Guangdong Key Laboratory of Liver Disease Research, Guangdong Province Engineering Laboratory for Transplantation Medicine, The Third Affiliated Hospital of Sun Yat-sen University, Guangzhou, China
| | - Jia Yao
- Department of Hepatic Surgery and Liver Transplantation Center, The Third Affiliated Hospital of Sun Yat-sen University, Guangzhou, China
- Guangdong Key Laboratory of Liver Disease Research, Guangdong Province Engineering Laboratory for Transplantation Medicine, The Third Affiliated Hospital of Sun Yat-sen University, Guangzhou, China
| | - Yingcai Zhang
- Department of Hepatic Surgery and Liver Transplantation Center, The Third Affiliated Hospital of Sun Yat-sen University, Guangzhou, China
- Guangdong Key Laboratory of Liver Disease Research, Guangdong Province Engineering Laboratory for Transplantation Medicine, The Third Affiliated Hospital of Sun Yat-sen University, Guangzhou, China
| | - Xin Sui
- Department of Surgical Intensive Care Unit, The Third Affiliated Hospital of Sun Yat-sen University, Guangzhou, China
| | - Jinliang Liang
- Guangdong Key Laboratory of Liver Disease Research, Guangdong Province Engineering Laboratory for Transplantation Medicine, The Third Affiliated Hospital of Sun Yat-sen University, Guangzhou, China
| | - Jun Zheng
- Department of Hepatic Surgery and Liver Transplantation Center, The Third Affiliated Hospital of Sun Yat-sen University, Guangzhou, China
- Guangdong Key Laboratory of Liver Disease Research, Guangdong Province Engineering Laboratory for Transplantation Medicine, The Third Affiliated Hospital of Sun Yat-sen University, Guangzhou, China
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Cha BH, Lee BS, Lee SH, Kang SJ, Park MJ. A Study of Alcohol Consumption and Obesity as Main Risk Factor for Symptomatic Gallbladder Stone: a Case-Control Study. Asian Pac J Cancer Prev 2017; 18:715-719. [PMID: 28441704 PMCID: PMC5464489 DOI: 10.22034/apjcp.2017.18.3.715] [Citation(s) in RCA: 3] [Impact Index Per Article: 0.4] [Reference Citation Analysis] [Abstract] [Key Words] [Download PDF] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 12/28/2022] Open
Abstract
Background: Gallbladder stone (GBS) is a common gastrointestinal disease that can progress to severe cholecystitis and is a strong risk factor for gallbladder cancer (GBC). The present study was conducted to evaluate region-specific causes of GBS which was proved as major risk factor for GBC in Jeju Island, Korea. Methods: Age and sex match case-control study was performed among 171 pairs of case and controls. The cases were patients who were diagnosed with GBS, had definite clinical symptoms, and underwent a cholecystectomy in Cheju Halla General Hospital, Jeju, Korea during 2010-2014. The control group included 1:1 age and sex-matched participants without GBS at the Health Promotion Center in the same institute during the same period. We compared the histories of previous chronic diseases (hypertension, diabetes, hyperlipidaemia, vascular occlusive diseases, or parity), alcohol consumption (standard drinks/week [SDW]), smoking habits, body mass index (BMI), and presence of concomitant polypoid lesions of the gallbladder. Results: A dose-dependent positive relationship existed between BMI and the risk of GBS: BMI 23–27.4 kg/m2, OR=2.5, , p=0.24; 27.5–29.9 kg/m2, OR=8.9, p=0.002; ≥30 kg/m2, OR=7.2, p=0.004. A negative correlation existed between alcohol consumption and the risk of GBS: Standard drinks per week (SDW), OR=0.24, p=0.002; 15–29.9 SDW, OR=0.26, p=0.022; ≥30 SDW, OR=0.2, 95% p=0.005. Conclusion: The present results suggest that a higher BMI and less alcohol consumption are associated with a risk of symptomatic GBS.
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Affiliation(s)
- Byung Hyo Cha
- Department of Gastroenterology, Division of Medicine, Sheikh Khalifa Specialty Hospital, Truck Road, Ras Al Khaimah,
United Arab Emirates.
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Chen AL, Liu AL, Wang S, Liu JH, Ju Y, Sun MY, Liu YJ. Detection of gallbladder stones by dual-energy spectral computed tomography imaging. World J Gastroenterol 2015; 21:9993-9998. [PMID: 26379404 PMCID: PMC4566392 DOI: 10.3748/wjg.v21.i34.9993] [Citation(s) in RCA: 15] [Impact Index Per Article: 1.7] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Download PDF] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 03/25/2015] [Revised: 06/02/2015] [Accepted: 06/26/2015] [Indexed: 02/06/2023] Open
Abstract
AIM: To evaluate the detectability of gallbladder stones by dual-energy spectral computed tomography (CT) imaging.
METHODS: Totally 217 patients with surgically confirmed gallbladder stones were retrospectively analyzed who underwent single-source dual-energy CT scanning from August 2011 to December 2013. Polychromatic images were acquired. And post-processing software was used to reconstruct monochromatic (40 keV and 140 keV) images, and calcium-lipid pair-wise base substance was selected to acquire calcium base images and lipid base images. The above 5 groups of images were evaluated by two radiologists separately with 10-year experience in CT image reading. In the 5 groups of images, the cases in the positive group and negative group were counted and then the detection rate was calculated. The inter-observer agreement on the scoring results was analyzed by Kappa test, and the scoring results were analyzed by Wilcoxon test, with P < 0.05 indicating that the difference was statistically significant. The stone detection results of the 5 groups of images were analyzed by χ2 test.
RESULTS: There was good inter-observer agreement (κ= 0.772). In 217 patients with gallbladder stones, there was a statistically significant difference in stone visualization between spectral images (40 keV, 140 keV, calcium base and lipid base images) and polychromatic images (P < 0.05). 40 keV monochromatic images were better than 140 keV monochromatic images (4.90 ± 0.35 vs 4.53 ± 1.15, P < 0.05), and calcium base images were superior to lipid base images (4.91 ± 0.43 vs 4.77 ± 0.63, P < 0.05), but there was no statistically significant difference between 40 keV monochromatic images and calcium base images (4.90 ± 0.35 vs 4.91 ± 0.43, P > 0.05). In 217 gallbladder stone patients, there were 21, 3, 28, 5 and 12 negative stone cases in polychromatic images, 40 keV images, 140 keV images, calcium base images and lipid base images, respectively, and the differences among the five groups were statistically significant (P < 0.05).
CONCLUSION: Monochromatic images and base substance images have a good clinical prospect in the iso-density stone detection.
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