Background: Plenty of studies have focused on the bile acids profile in gallstones. The objective of our systematic review is to provide a comprehensive summary about bile acids profiles in gallstones and analyzes the difference between gallstones and control group in diverse samples, determining the characteristic bile acids as the metabolite biomarkers for predicting gallstone.
Methods: EMBASE, the Cochrane Library, PubMed, Web of Science, Wanfang databases, China National Knowledge Infrastructure (CNKI), VIP Information Resource Integration Service Platform (CQVIP), and China Biology Medicine Disc (SinoMed) will be searched with the keywords of gallstones and metabolomics. The screening process will be performed strictly according to inclusion and exclusion criteria. The CONSORT checklist and the Newcastle-Ottawa Scale (NOS) will assess the risk of bias for randomized controlled trials and observational studies, respectively. The qualitative review will be conducted to summarize the bile acids profile in gallstones. The concentrations of bile acids in both case group and control group will be the primary outcomes to perform the meta-analyses.
Expected Results: Our systematic review will find the characteristic bile acids as the candidate metabolite biomarkers which equipped potential value to predict gallstones.
Conclusion: Expanding the current knowledge on the physiopathology of gallstones and identifying novel predictive biomarkers can help to facilitate the detection and management of gallstones. Consequently, we expect this protocol to be a reasonable method to filtrate candidate differential bile acids which have potential value to predict gallstones.
Prospero Registration Number: CRD42022339649.
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http://www.ncbi.nlm.nih.gov/pmc/articles/PMC10115254 | PMC |
http://journals.plos.org/plosone/article?id=10.1371/journal.pone.0284138 | PLOS |
Sci Rep
January 2025
Department of Pediatrics, University Medical Center Groningen, University of Groningen, Groningen, The Netherlands.
Bile acids (BAs) play important roles in the context of lipid homeostasis and inflammation. Based on extensive preclinical mouse studies, BA signaling pathways have been implicated as therapeutic targets for cardiovascular diseases. However, differences in BA metabolism between mice and humans hamper translation of preclinical outcomes.
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January 2025
Department of Health and Nutrition, Yamagata Prefectural Yonezawa University of Nutrition Sciences, 6-15-1, Torimachi, Yonezawa, Yamagata, 992-0025, Japan.
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Division of Gastroenterology, Rabin Medical Center, Petah-Tikva, Israel; Faculty of Medical and Health Sciences, Tel Aviv University, Tel Aviv, Israel.
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Talanta
January 2025
State Key Laboratory of Component-based Chinese Medicine, Tianjin Key Laboratory of TCM Chemistry and Analysis, Tianjin University of Traditional Chinese Medicine, 10 Poyanghu Road, Jinghai District, Tianjin, 301617, PR China; Haihe Laboratory of Modern Chinese Medicine, Tianjin, 301617, PR China. Electronic address:
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Department of Gastroenterology, The First Affiliated Hospital, Zhejiang University School of Medicine, Hangzhou, Zhejiang, China.
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