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Article

Metabolomic Profiles Predict Diabetes Remission after Bariatric Surgery

1
Department of Medicine, Korea University College of Medicine, Seoul 02841, Korea
2
Department of Biotechnology and Food Science, Norwegian University of Science and Technology, 7491 Trondheim, Norway
3
Division of Foregut Surgery, Korea University College of Medicine, Seoul 02841, Korea
4
Department of Surgery, Seoul National University Bundang Hospital, Seongnam 13620, Korea
5
Department of Surgery, Seoul National University Hospital, Seoul 03080, Korea
6
Department of Surgery, Nowon Eulji Medical Center, Seoul 01830, Korea
7
Department of Surgery, Hanyang University College of Medicine, Seoul 04763, Korea
8
Department of Surgery, H+ Yangji Hospital, Seoul 08779, Korea
9
Department of Surgery, Cheil General Hospital, Seoul 04619, Korea
10
Department of Surgery, Ajou University Hospital, Suwon 16499, Korea
11
Department of Surgery, Inha University Hospital, Incheon 22332, Korea
*
Author to whom correspondence should be addressed.
J.H., M.J., and Y.K. (Co-first authors) contributed equally to this work.
J. Clin. Med. 2020, 9(12), 3897; https://doi.org/10.3390/jcm9123897
Submission received: 22 October 2020 / Revised: 19 November 2020 / Accepted: 23 November 2020 / Published: 1 December 2020
(This article belongs to the Special Issue Bariatric Surgery: Latest Advances and Prospects)

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.
Keywords: bariatric surgery; metabolic surgery; diabetes; amino acid; metabolomics bariatric surgery; metabolic surgery; diabetes; amino acid; metabolomics

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MDPI and ACS Style

Ha, J.; Jang, M.; Kwon, Y.; Park, Y.S.; Park, D.J.; Lee, J.-H.; Lee, H.-J.; Ha, T.K.; Kim, Y.-J.; Han, S.-M.; et al. Metabolomic Profiles Predict Diabetes Remission after Bariatric Surgery. J. Clin. Med. 2020, 9, 3897. https://doi.org/10.3390/jcm9123897

AMA Style

Ha J, Jang M, Kwon Y, Park YS, Park DJ, Lee J-H, Lee H-J, Ha TK, Kim Y-J, Han S-M, et al. Metabolomic Profiles Predict Diabetes Remission after Bariatric Surgery. Journal of Clinical Medicine. 2020; 9(12):3897. https://doi.org/10.3390/jcm9123897

Chicago/Turabian Style

Ha, Jane, Mi Jang, Yeongkeun Kwon, Young Suk Park, Do Joong Park, Joo-Ho Lee, Hyuk-Joon Lee, Tae Kyung Ha, Yong-Jin Kim, Sang-Moon Han, and et al. 2020. "Metabolomic Profiles Predict Diabetes Remission after Bariatric Surgery" Journal of Clinical Medicine 9, no. 12: 3897. https://doi.org/10.3390/jcm9123897

APA Style

Ha, J., Jang, M., Kwon, Y., Park, Y. S., Park, D. J., Lee, J.-H., Lee, H.-J., Ha, T. K., Kim, Y.-J., Han, S.-M., Han, S.-U., Heo, Y., & Park, S. (2020). Metabolomic Profiles Predict Diabetes Remission after Bariatric Surgery. Journal of Clinical Medicine, 9(12), 3897. https://doi.org/10.3390/jcm9123897

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