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Gut Microbiota Mediate Melatonin Signaling in Association With Type 2 Diabetes

OBJECTIVES: To investigate the association between serum melatonin (MT) and type 2 diabetes (T2D) risk in southern Chinese population in a case-control study as well as the role of gut microbiota in the relationship between them. METHODS: T2D cases and healthy controls (n = 2034) were recruited from...

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Autores principales: Lin, Rui, Hoang, Xueran, Qiu, Yang, Gao, Yongfen, Zhou, Rong, Hu, Qiantu, He, Zouyan, Lv, Yingnan, Wang, Xi, Chen, Wanrong, Deng, Yuqing, An, Zhuangzhuang, Zhang, Haiying, Mo, Zengnan
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Oxford University Press 2022
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9194007/
http://dx.doi.org/10.1093/cdn/nzac069.024
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author Lin, Rui
Hoang, Xueran
Qiu, Yang
Gao, Yongfen
Zhou, Rong
Hu, Qiantu
He, Zouyan
Lv, Yingnan
Wang, Xi
Chen, Wanrong
Deng, Yuqing
An, Zhuangzhuang
Zhang, Haiying
Mo, Zengnan
author_facet Lin, Rui
Hoang, Xueran
Qiu, Yang
Gao, Yongfen
Zhou, Rong
Hu, Qiantu
He, Zouyan
Lv, Yingnan
Wang, Xi
Chen, Wanrong
Deng, Yuqing
An, Zhuangzhuang
Zhang, Haiying
Mo, Zengnan
author_sort Lin, Rui
collection PubMed
description OBJECTIVES: To investigate the association between serum melatonin (MT) and type 2 diabetes (T2D) risk in southern Chinese population in a case-control study as well as the role of gut microbiota in the relationship between them. METHODS: T2D cases and healthy controls (n = 2034) were recruited from a cross-sectional study and matched age and sex for a case-control study, and the association between serum MT and T2D risk was examined using a multivariable logistic regression model. We further conducted a rigorously matched case-control study (n = 120), in which gut microbial 16S RNA was sequenced and metabolites were profiled using an untargeted LC-MS/MS approach. RESULTS: Higher levels of serum MT were significantly associated with a lower risk of T2D (OR = 0.84; 95% CI 0.75–0.93) and with lower levels of fasting glucose after adjustment for covariates (β = −0.21; 95% CI −0.33, −0.09). T2D patients exhibited lower levels of serum MT, lower α- and β-diversity of gut microbiota (p < 0.05), greater abundance of Bifidobacterium and lower abundance of Coprococcus (LDA > 2.0). Seven genera were correlated with MT and T2D related traits, among them Bifidobacterium was positively correlated with serum LPS and IL-10, whereas Coprococcus was negatively correlated with serum IL-1β, IL-6, IL-10, IL-17, INF-α and LPS (FDR < 0.05). Moreover, altered metabolites were detected in the T2D patients, and there was a significant correlation between tryptophan (Trp) metabolites and the melatonin-correlated genera including Bifidobacterium and Coprococcus (FDR < 0.05). A significant correlation also was found between Trp metabolites and inflammation factors, such as IL-1β, IL-6, IL-10, IL-17, INF-α and LPS (FDR < 0.05). Further, we showed that Trp metabolites may serve as a biomarker to predict T2D status (AUC = 0.804). CONCLUSIONS: Higher level of serum MT was associated with lower risk of T2D, and that gut microbiota-mediated MT signaling was involved in this association, especially, Bifidobacterium and Coprococcus mediated Trp metabolites may be involved in the process. These findings uncover the importance of MT and MT-related bacteria and metabolites as potential therapeutic targets for T2D. FUNDING SOURCES: This work was supported by the National Natural Science Foundation of China (No.82060593), Natural Science Foundation of Guangxi Province (No. 2018GXNSFDA050019).
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spelling pubmed-91940072022-06-14 Gut Microbiota Mediate Melatonin Signaling in Association With Type 2 Diabetes Lin, Rui Hoang, Xueran Qiu, Yang Gao, Yongfen Zhou, Rong Hu, Qiantu He, Zouyan Lv, Yingnan Wang, Xi Chen, Wanrong Deng, Yuqing An, Zhuangzhuang Zhang, Haiying Mo, Zengnan Curr Dev Nutr Nutritional Microbiology/Microbiome OBJECTIVES: To investigate the association between serum melatonin (MT) and type 2 diabetes (T2D) risk in southern Chinese population in a case-control study as well as the role of gut microbiota in the relationship between them. METHODS: T2D cases and healthy controls (n = 2034) were recruited from a cross-sectional study and matched age and sex for a case-control study, and the association between serum MT and T2D risk was examined using a multivariable logistic regression model. We further conducted a rigorously matched case-control study (n = 120), in which gut microbial 16S RNA was sequenced and metabolites were profiled using an untargeted LC-MS/MS approach. RESULTS: Higher levels of serum MT were significantly associated with a lower risk of T2D (OR = 0.84; 95% CI 0.75–0.93) and with lower levels of fasting glucose after adjustment for covariates (β = −0.21; 95% CI −0.33, −0.09). T2D patients exhibited lower levels of serum MT, lower α- and β-diversity of gut microbiota (p < 0.05), greater abundance of Bifidobacterium and lower abundance of Coprococcus (LDA > 2.0). Seven genera were correlated with MT and T2D related traits, among them Bifidobacterium was positively correlated with serum LPS and IL-10, whereas Coprococcus was negatively correlated with serum IL-1β, IL-6, IL-10, IL-17, INF-α and LPS (FDR < 0.05). Moreover, altered metabolites were detected in the T2D patients, and there was a significant correlation between tryptophan (Trp) metabolites and the melatonin-correlated genera including Bifidobacterium and Coprococcus (FDR < 0.05). A significant correlation also was found between Trp metabolites and inflammation factors, such as IL-1β, IL-6, IL-10, IL-17, INF-α and LPS (FDR < 0.05). Further, we showed that Trp metabolites may serve as a biomarker to predict T2D status (AUC = 0.804). CONCLUSIONS: Higher level of serum MT was associated with lower risk of T2D, and that gut microbiota-mediated MT signaling was involved in this association, especially, Bifidobacterium and Coprococcus mediated Trp metabolites may be involved in the process. These findings uncover the importance of MT and MT-related bacteria and metabolites as potential therapeutic targets for T2D. FUNDING SOURCES: This work was supported by the National Natural Science Foundation of China (No.82060593), Natural Science Foundation of Guangxi Province (No. 2018GXNSFDA050019). Oxford University Press 2022-06-14 /pmc/articles/PMC9194007/ http://dx.doi.org/10.1093/cdn/nzac069.024 Text en © The Author 2022. Published by Oxford University Press on behalf of The International Society for Human and Animal Mycology. https://creativecommons.org/licenses/by-nc/4.0/This is an Open Access article distributed under the terms of the Creative Commons Attribution Non-Commercial License (https://creativecommons.org/licenses/by-nc/4.0/), which permits non-commercial re-use, distribution, and reproduction in any medium, provided the original work is properly cited. For commercial re-use, please contact journals.permissions@oup.com
spellingShingle Nutritional Microbiology/Microbiome
Lin, Rui
Hoang, Xueran
Qiu, Yang
Gao, Yongfen
Zhou, Rong
Hu, Qiantu
He, Zouyan
Lv, Yingnan
Wang, Xi
Chen, Wanrong
Deng, Yuqing
An, Zhuangzhuang
Zhang, Haiying
Mo, Zengnan
Gut Microbiota Mediate Melatonin Signaling in Association With Type 2 Diabetes
title Gut Microbiota Mediate Melatonin Signaling in Association With Type 2 Diabetes
title_full Gut Microbiota Mediate Melatonin Signaling in Association With Type 2 Diabetes
title_fullStr Gut Microbiota Mediate Melatonin Signaling in Association With Type 2 Diabetes
title_full_unstemmed Gut Microbiota Mediate Melatonin Signaling in Association With Type 2 Diabetes
title_short Gut Microbiota Mediate Melatonin Signaling in Association With Type 2 Diabetes
title_sort gut microbiota mediate melatonin signaling in association with type 2 diabetes
topic Nutritional Microbiology/Microbiome
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9194007/
http://dx.doi.org/10.1093/cdn/nzac069.024
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