Yan Congzhi, Bao Jingxia, Jin Jinji
Department of Gastrointestinal Surgery, The First Affiliated Hospital of Wenzhou Medical University, Zhejiang, 325000, China.
Wenzhou Medical University, Zhejiang, China.
J Transl Med. 2024 Feb 19;22(1):179. doi: 10.1186/s12967-024-04996-0.
Acute pancreatitis and non-alcoholic fatty liver disease are both serious diseases in the digestive system. The pathogenesis of both diseases is extremely complex closely and it related to gut microbiota, inflammation, and blood fat. There is a close relationship between gut microbiota and blood lipids.
In this study, we used three types of exposure: 412 gut microbiota, 731 inflammatory cells, and 91 inflammatory proteins (pqtls), with LDL-C as an intermediary and acute pancreatitis and non-alcoholic fatty liver disease as outcomes. We mainly used MR-IVW, co-localization analysis, and reverse MR analysis methods for analysis.
7 gut microbiota, 21 inflammatory cells, and 3 inflammatory proteins can affect LDL-C levels. LDL-C is associated with acute pancreatitis and non-alcoholic fatty liver disease.
Three omics were used: 412 gut microbiota, 731 inflammatory cells, and 91 inflammatory proteins (pqtls). It explains the causal relationship between multiomics, LDL- cholesterol, acute pancreatitis, and non-alcoholic fatty liver disease.
急性胰腺炎和非酒精性脂肪性肝病都是消化系统的严重疾病。这两种疾病的发病机制极其复杂，且与肠道微生物群、炎症和血脂密切相关。肠道微生物群与血脂之间存在密切关系。
在本研究中，我们使用了三种暴露因素：412种肠道微生物群、731种炎症细胞和91种炎症蛋白（pqtls），以低密度脂蛋白胆固醇（LDL-C）作为中介，急性胰腺炎和非酒精性脂肪性肝病作为结局。我们主要使用孟德尔随机化逆方差加权法（MR-IVW）、共定位分析和反向孟德尔随机化分析方法进行分析。
7种肠道微生物群、21种炎症细胞和3种炎症蛋白可影响LDL-C水平。LDL-C与急性胰腺炎和非酒精性脂肪性肝病相关。
使用了三种组学：412种肠道微生物群、731种炎症细胞和91种炎症蛋白（pqtls）。它解释了多组学、低密度脂蛋白胆固醇、急性胰腺炎和非酒精性脂肪性肝病之间的因果关系。
