Metabolomic Profiles Predict Diabetes Remission after Bariatric Surgery

Autor: Hyuk Joon Lee, Yeong Keun Kwon, Do Joong Park, Sang Moon Han, Joo Ho Lee, Yong Jin Kim, Young Suk Park, Mi Jang, Tae Kyung Ha, Sungsoo Park, Yoon Seok Heo, Jane Ha, Sang-Uk Han
Jazyk: angličtina
Rok vydání: 2020
Předmět:
Zdroj: Journal of Clinical Medicine
Volume 9
Issue 12
Journal of Clinical Medicine, Vol 9, Iss 3897, p 3897 (2020)
ISSN: 2077-0383
DOI: 10.3390/jcm9123897
Popis: Background: Amino acid metabolites (AAMs) have been linked to glucose homeostasis and type 2 diabetes (T2D). We investigated whether (1) baseline AAMs predict T2D remission 12 months after bariatric surgery and (2) whether AAMs are superior for predicting T2D remission postoperatively compared with existing prediction models. Methods: Among 24 participants undergoing bariatric surgery, 16 diabetes-related AAMs were quantified at baseline and postoperative 3 and 12 months. Existing prediction models included the ABCD, DiaRem, and IMS models. Results: Baseline L-dihydroxyphenylalanine (L-DOPA) (areas under receiver operating characteristic curves (AUROC), 0.92
95% confidence interval (CI), 0.75 to 1.00) and 3-hydroxyanthranilic acid (3-HAA) (AUROC, 0.85
95% CI, 0.67 to 1.00) better predicted T2D remission 12 months postoperatively than the ABCD model (AUROC, 0.81
95% CI, 0.54 to 1.00), which presented the highest AUROC value among the three models. The superior prognostic performance of L-DOPA (AUROC at 3 months, 0.97
95% CI, 0.91 to 1.00) and 3-HAA (AUROC at 3 months, 0.86
95% CI, 0.63 to 1.00) continued until 3 months postoperatively. Conclusions: The AAM profile predicts T2D remission after bariatric surgery more effectively than the existing prediction models.
Databáze: OpenAIRE
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