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Metabolomic Profiles Predict Diabetes Remission after Bariatric Surgeryopen access

Authors
Ha, JaneJang, MiKwon, YeongkeunPark, Young SukPark, JoongLee, Joo-HoLee, Hyuk-JoonHa, Tae KyungKim, Yong-JinHan, Sang-MoonHan, Sang-UkHeo, YoonseokPark, Sungsoo
Issue Date
Dec-2020
Publisher
MDPI
Keywords
bariatric surgery; metabolic surgery; diabetes; amino acid; metabolomics
Citation
JOURNAL OF CLINICAL MEDICINE, v.9, no.12, pp.1 - 12
Indexed
SCIE
SCOPUS
Journal Title
JOURNAL OF CLINICAL MEDICINE
Volume
9
Number
12
Start Page
1
End Page
12
URI
https://scholarworks.bwise.kr/hanyang/handle/2021.sw.hanyang/144234
DOI
10.3390/jcm9123897
ISSN
2077-0383
Abstract
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.
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