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Altered Caffeine Metabolism Is Associated With Recurrent Hypoglycemia in Type 2 Diabetes Mellitus: A UPLC–MS-Based Untargeted Metabolomics Study

BACKGROUND: Recurrent hypoglycemia (RH) is well known to impair awareness of hypoglycemia and increase the risk of severe hypoglycemia; the underlying mechanism requires further understanding. We aimed to investigate the metabolic characteristic profile for RH in type 2 diabetes mellitus (T2DM) pati...

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Autores principales: Lijing, Wang, Sujie, Ke, Linxi, Wang, Lishan, Huang, Liqin, Qi, Zhidong, Zhan, Kejun, Wu, Mengjun, Zhang, Xiaoying, Liu, Xiaohong, Liu, Libin, Liu
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Frontiers Media S.A. 2022
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9248032/
https://www.ncbi.nlm.nih.gov/pubmed/35784552
http://dx.doi.org/10.3389/fendo.2022.843556
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author Lijing, Wang
Sujie, Ke
Linxi, Wang
Lishan, Huang
Liqin, Qi
Zhidong, Zhan
Kejun, Wu
Mengjun, Zhang
Xiaoying, Liu
Xiaohong, Liu
Libin, Liu
author_facet Lijing, Wang
Sujie, Ke
Linxi, Wang
Lishan, Huang
Liqin, Qi
Zhidong, Zhan
Kejun, Wu
Mengjun, Zhang
Xiaoying, Liu
Xiaohong, Liu
Libin, Liu
author_sort Lijing, Wang
collection PubMed
description BACKGROUND: Recurrent hypoglycemia (RH) is well known to impair awareness of hypoglycemia and increase the risk of severe hypoglycemia; the underlying mechanism requires further understanding. We aimed to investigate the metabolic characteristic profile for RH in type 2 diabetes mellitus (T2DM) patients and explore the potential metabolic mechanism and prevention strategies. METHODS: We screened 553 community-based T2DM patients. T2DM with RH (DH group, n=40) and T2DM without hypoglycemia (DC group, n=40) were assigned in the case-control study, matched by propensity score matching. Non-targeted, global metabolite profiling was conducted using ultra-high performance liquid chromatography-mass spectrometry. Principal component analysis and supervised projections to latent structures-discriminant analysis were constructed to evaluate the potential biomarkers. Metabolites with a fold change of >2.0 or <0.5, a t-test q-value <0.05, and variable importance in projection value of >1 were identified as significantly differential metabolites. MetaboAnalyst was performed to analyze the related metabolic pathways. RESULTS: We identified 12 significantly distinct metabolites as potential biomarkers of RH, which were enriched in five pathways; the caffeine metabolic pathway was the most dominant related one. Caffeine and its main downstream metabolites (theophylline and paraxanthine, all q <0.05) were significantly lower during RH. The combination of these metabolites can serve as a reliable predictor biomarker for RH (area under the curve = 0.88). Regarding lipid metabolism, triglyceride was upregulated (P=0.003) and the O-Acylcarnitine was downregulated (q < 0.001). Besides, RH was accompanied by lower phenylalanine (q=0.003) and higher cortisone (q=0.005) levels. CONCLUSIONS: RH in T2DM is accompanied by caffeine, lipolysis, phenylalanine, and cortisone metabolism abnormalities. Caffeine might be a reliable candidate biomarker and potential prevention strategy for RH, but further validation studies are needed. CLINICAL TRIAL REGISTRY: Chi CTR 1900026361, 2019-10-3.
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spelling pubmed-92480322022-07-02 Altered Caffeine Metabolism Is Associated With Recurrent Hypoglycemia in Type 2 Diabetes Mellitus: A UPLC–MS-Based Untargeted Metabolomics Study Lijing, Wang Sujie, Ke Linxi, Wang Lishan, Huang Liqin, Qi Zhidong, Zhan Kejun, Wu Mengjun, Zhang Xiaoying, Liu Xiaohong, Liu Libin, Liu Front Endocrinol (Lausanne) Endocrinology BACKGROUND: Recurrent hypoglycemia (RH) is well known to impair awareness of hypoglycemia and increase the risk of severe hypoglycemia; the underlying mechanism requires further understanding. We aimed to investigate the metabolic characteristic profile for RH in type 2 diabetes mellitus (T2DM) patients and explore the potential metabolic mechanism and prevention strategies. METHODS: We screened 553 community-based T2DM patients. T2DM with RH (DH group, n=40) and T2DM without hypoglycemia (DC group, n=40) were assigned in the case-control study, matched by propensity score matching. Non-targeted, global metabolite profiling was conducted using ultra-high performance liquid chromatography-mass spectrometry. Principal component analysis and supervised projections to latent structures-discriminant analysis were constructed to evaluate the potential biomarkers. Metabolites with a fold change of >2.0 or <0.5, a t-test q-value <0.05, and variable importance in projection value of >1 were identified as significantly differential metabolites. MetaboAnalyst was performed to analyze the related metabolic pathways. RESULTS: We identified 12 significantly distinct metabolites as potential biomarkers of RH, which were enriched in five pathways; the caffeine metabolic pathway was the most dominant related one. Caffeine and its main downstream metabolites (theophylline and paraxanthine, all q <0.05) were significantly lower during RH. The combination of these metabolites can serve as a reliable predictor biomarker for RH (area under the curve = 0.88). Regarding lipid metabolism, triglyceride was upregulated (P=0.003) and the O-Acylcarnitine was downregulated (q < 0.001). Besides, RH was accompanied by lower phenylalanine (q=0.003) and higher cortisone (q=0.005) levels. CONCLUSIONS: RH in T2DM is accompanied by caffeine, lipolysis, phenylalanine, and cortisone metabolism abnormalities. Caffeine might be a reliable candidate biomarker and potential prevention strategy for RH, but further validation studies are needed. CLINICAL TRIAL REGISTRY: Chi CTR 1900026361, 2019-10-3. Frontiers Media S.A. 2022-06-17 /pmc/articles/PMC9248032/ /pubmed/35784552 http://dx.doi.org/10.3389/fendo.2022.843556 Text en Copyright © 2022 Lijing, Sujie, Linxi, Lishan, Liqin, Zhidong, Kejun, Mengjun, Xiaoying, Xiaohong and Libin https://creativecommons.org/licenses/by/4.0/This is an open-access article distributed under the terms of the Creative Commons Attribution License (CC BY). The use, distribution or reproduction in other forums is permitted, provided the original author(s) and the copyright owner(s) are credited and that the original publication in this journal is cited, in accordance with accepted academic practice. No use, distribution or reproduction is permitted which does not comply with these terms.
spellingShingle Endocrinology
Lijing, Wang
Sujie, Ke
Linxi, Wang
Lishan, Huang
Liqin, Qi
Zhidong, Zhan
Kejun, Wu
Mengjun, Zhang
Xiaoying, Liu
Xiaohong, Liu
Libin, Liu
Altered Caffeine Metabolism Is Associated With Recurrent Hypoglycemia in Type 2 Diabetes Mellitus: A UPLC–MS-Based Untargeted Metabolomics Study
title Altered Caffeine Metabolism Is Associated With Recurrent Hypoglycemia in Type 2 Diabetes Mellitus: A UPLC–MS-Based Untargeted Metabolomics Study
title_full Altered Caffeine Metabolism Is Associated With Recurrent Hypoglycemia in Type 2 Diabetes Mellitus: A UPLC–MS-Based Untargeted Metabolomics Study
title_fullStr Altered Caffeine Metabolism Is Associated With Recurrent Hypoglycemia in Type 2 Diabetes Mellitus: A UPLC–MS-Based Untargeted Metabolomics Study
title_full_unstemmed Altered Caffeine Metabolism Is Associated With Recurrent Hypoglycemia in Type 2 Diabetes Mellitus: A UPLC–MS-Based Untargeted Metabolomics Study
title_short Altered Caffeine Metabolism Is Associated With Recurrent Hypoglycemia in Type 2 Diabetes Mellitus: A UPLC–MS-Based Untargeted Metabolomics Study
title_sort altered caffeine metabolism is associated with recurrent hypoglycemia in type 2 diabetes mellitus: a uplc–ms-based untargeted metabolomics study
topic Endocrinology
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9248032/
https://www.ncbi.nlm.nih.gov/pubmed/35784552
http://dx.doi.org/10.3389/fendo.2022.843556
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