Comparison of biliary protein spectrum in gallstone patients with obesity and those with normal body weight.

BACKGROUND: Obesity is a common public health issue and is currently deemed a disease. Research has shown that the risk of gallstones in individuals with obesity is elevated. This study aimed to explore the bile proteomics differences between cholelithiasis patients with obesity and normal body weight. METHODS: Bile samples from 20 patients (10 with obesity and 10 with normal body weight) who underwent laparoscopic cholecystectomy at our center were subjected to tandem mass tag labeling (TMT) and liquid chromatography-tandem mass spectrometry (LC-MS/MS), followed by further bioinformatic analysis. RESULTS: Among the differentially-expressed proteins, 23 were upregulated and 67 were downregulated. Bioinformatic analysis indicated that these differentially-expressed proteins were mainly involved in cell development, inflammatory responses, glycerolipid metabolic processes, and protein activation cascades. In addition, the activity of the peroxisome proliferator-activated receptor (PPAR, a subfamily of nuclear receptors) signaling pathway was decreased in the Kyoto Encyclopedia of Genes and Genomes (KEGG) enrichment analysis. Two downregulated proteins in the PPAR signaling pathway, APOA-I and APOA-II, were confirmed using enzyme-linked immunosorbent assay. CONCLUSIONS: The PPAR signaling pathway may play a crucial role in the development of cholelithiasis among patients with obesity. Furthermore, biliary proteomics profiling of gallstones patients with obesity is revealed, providing a reference for future research.

Hidden blood loss and the influencing factors after laparoscopic cholecystectomy.

BACKGROUND: A small amount of bleeding usually occurs during laparoscopic cholecystectomy (LC), but the occurrence of perioperative hidden blood loss (HBL) is ignored. So our objective is to investigate the amount of HBL and find out the influential factors in LC. METHODS: From January 2017 to May 2019, 139 patients scheduled for LC were enrolled in the study. The data of patients' sex, age, height, weight, body mass index (BMI), form of gallbladder bed, gallbladder status, hypertension, diabetes, liver cirrhosis, drainage volume and operation time were recorded. The patients' height, weight and preoperative and postoperative haematocrit and haemoglobin were recorded and applied to the Gross formula to determine the amount of blood loss. The data of sex, age, BMI, hypertension, diabetes, gallbladder status, liver cirrhosis and operation time were analysed by multivariate linear regression analysis. One-way analysis of variance was performed to find out the relative correlation between HBL and the type of gallbladder bed. RESULTS: The HBL was 259.3 ± 188.5 mL. On the basis of multivariate linear regression analysis and analysis of variance, the gallbladder bed, hypertension and the operation time are influential factors of HBL in patients with LC. However, sex, age, BMI, gallbladder status, liver cirrhosis and diabetes are not significantly correlated with HBL. CONCLUSIONS: HBL should not be overlooked during the perioperative period of LC, especially in patients with hypertension, gallbladder bed >50% gallbladder surface or operation time >60 min.