Liang Wang1, Guangzhong Xu1, Chenxu Tian1, Qing Sang2, Chengyuan Yu2, Qiqige Wuyun1, Zheng Wang1, Weijian Chen1, Buhe Amin1, Dezhong Wang3, Guanyang Chen2, Dongbo Lian4, Nengwei Zhang5. 1. Surgery Centre of Diabetes Mellitus, Capital Medical University Affiliated Beijing Shijitan Hospital, Haidian District, Tieyi Road, Beijing, 100038, China. 2. Surgery Centre of Diabetes Mellitus, Peking University Ninth School of Clinical Medicine, Beijing, 100038, China. 3. General Surgery, Aerospace Central Hospital, Beijing, 100049, China. 4. Surgery Centre of Diabetes Mellitus, Capital Medical University Affiliated Beijing Shijitan Hospital, Haidian District, Tieyi Road, Beijing, 100038, China. lian.dongbo@126.com. 5. Surgery Centre of Diabetes Mellitus, Capital Medical University Affiliated Beijing Shijitan Hospital, Haidian District, Tieyi Road, Beijing, 100038, China. zhangnw1@sohu.com.
Abstract
BACKGROUND: Single-nucleotide polymorphisms (SNPs) associated with obesity predict laparoscopic Roux-en-Y gastric bypass (LRYGB) and biliopancreatic diversion with duodenal switch (BPD/DS) for weight loss with good efficiency. However, prediction of weight loss after laparoscopic sleeve gastrectomy using SNPs has not been well investigated. OBJECTIVES: To predict weight loss after laparoscopic sleeve gastrectomy using obesity-related SNPs and clinical variants in Chinese patients with body mass index (BMI) ≥ 32.5 kg/m2. METHODS: We detected 29 SNPs. Binary logistic regression was used to screen SNPs and clinical variables with predictive value. Receiver operating characteristic (ROC) curves were plotted for clinical variables, SNPs, and their combination, and areas under the ROC curve (AUC) were compared. Internal and external validation tests were performed. RESULTS: rs12535708, rs651821, and rs5082 were constructed as the genetic risk score (GRS). Preoperative BMI was constructed as the clinical risk score (CRS). Preoperative BMI and SNPs were constructed as the cumulative genetic risk score (CGRS). ROC curves of GRS, CRS, and CGRS showed that the optimal cutoffs were 0.831 (AUC = 0.840; sensitivity, 92.96%; specificity, 64.29%), 43.46 kg/m2 (AUC = 0.830; sensitivity, 76.06%; specificity, 85.71%), and 0.921 (AUC = 0.931; sensitivity, 77.46%; specificity, 92.86%), respectively. The AUC of CGRS was significantly greater than that of CRS (P < 0.05) and greater than GRS without statistical significance. CONCLUSION: In Chinese patients with BMI ≥ 32.5 kg/m2, GRS and CRS could predict weight loss success. However, CGRS was superior to GRS or CRS alone.
BACKGROUND: Single-nucleotide polymorphisms (SNPs) associated with obesity predict laparoscopic Roux-en-Y gastric bypass (LRYGB) and biliopancreatic diversion with duodenal switch (BPD/DS) for weight loss with good efficiency. However, prediction of weight loss after laparoscopic sleeve gastrectomy using SNPs has not been well investigated. OBJECTIVES: To predict weight loss after laparoscopic sleeve gastrectomy using obesity-related SNPs and clinical variants in Chinese patients with body mass index (BMI) ≥ 32.5 kg/m2. METHODS: We detected 29 SNPs. Binary logistic regression was used to screen SNPs and clinical variables with predictive value. Receiver operating characteristic (ROC) curves were plotted for clinical variables, SNPs, and their combination, and areas under the ROC curve (AUC) were compared. Internal and external validation tests were performed. RESULTS: rs12535708, rs651821, and rs5082 were constructed as the genetic risk score (GRS). Preoperative BMI was constructed as the clinical risk score (CRS). Preoperative BMI and SNPs were constructed as the cumulative genetic risk score (CGRS). ROC curves of GRS, CRS, and CGRS showed that the optimal cutoffs were 0.831 (AUC = 0.840; sensitivity, 92.96%; specificity, 64.29%), 43.46 kg/m2 (AUC = 0.830; sensitivity, 76.06%; specificity, 85.71%), and 0.921 (AUC = 0.931; sensitivity, 77.46%; specificity, 92.86%), respectively. The AUC of CGRS was significantly greater than that of CRS (P < 0.05) and greater than GRS without statistical significance. CONCLUSION: In Chinese patients with BMI ≥ 32.5 kg/m2, GRS and CRS could predict weight loss success. However, CGRS was superior to GRS or CRS alone.
Authors: Quentin M Anstee; Rebecca Darlay; Simon Cockell; Marica Meroni; Olivier Govaere; Dina Tiniakos; Alastair D Burt; Pierre Bedossa; Jeremy Palmer; Yang-Lin Liu; Guruprasad P Aithal; Michael Allison; Hannele Yki-Järvinen; Michele Vacca; Jean-Francois Dufour; Pietro Invernizzi; Daniele Prati; Mattias Ekstedt; Stergios Kechagias; Sven Francque; Salvatore Petta; Elisabetta Bugianesi; Karine Clement; Vlad Ratziu; Jörn M Schattenberg; Luca Valenti; Christopher P Day; Heather J Cordell; Ann K Daly Journal: J Hepatol Date: 2020-04-13 Impact factor: 25.083