Cargando…

Identification of circulating sphingosine kinase-related metabolites for prediction of type 2 diabetes

BACKGROUND: Sphingosine Kinase (SphK) that catalyzes sphingosine (Sph) to sphingosine 1-phosphate (S1P), plays a key role in both sphingolipid metabolism and cellular signaling. While SphK has been implicated in type 2 diabetes mellitus (T2DM), it is unexplored in humans. Herein, we investigated whe...

Descripción completa

Detalles Bibliográficos
Autores principales: Chen, Qi, Wang, Wei, Xia, Ming-Feng, Lu, You-li, Bian, Hua, Yu, Chen, Li, Xiao-Ying, Vadas, Mathew A., Gao, Xin, Lin, Huan-Dong, Xia, Pu
Formato: Online Artículo Texto
Lenguaje:English
Publicado: BioMed Central 2021
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8447705/
https://www.ncbi.nlm.nih.gov/pubmed/34530846
http://dx.doi.org/10.1186/s12967-021-03066-z
_version_ 1784569074953486336
author Chen, Qi
Wang, Wei
Xia, Ming-Feng
Lu, You-li
Bian, Hua
Yu, Chen
Li, Xiao-Ying
Vadas, Mathew A.
Gao, Xin
Lin, Huan-Dong
Xia, Pu
author_facet Chen, Qi
Wang, Wei
Xia, Ming-Feng
Lu, You-li
Bian, Hua
Yu, Chen
Li, Xiao-Ying
Vadas, Mathew A.
Gao, Xin
Lin, Huan-Dong
Xia, Pu
author_sort Chen, Qi
collection PubMed
description BACKGROUND: Sphingosine Kinase (SphK) that catalyzes sphingosine (Sph) to sphingosine 1-phosphate (S1P), plays a key role in both sphingolipid metabolism and cellular signaling. While SphK has been implicated in type 2 diabetes mellitus (T2DM), it is unexplored in humans. Herein, we investigated whether circulating SphK-related metabolites are associated with T2DM incidence in an established prospective cohort. METHODS: Levels of SphK-related sphingolipid metabolites, including Sph, S1P, dihydrosphingosine (dhSph) and dihydro-S1P (dhS1P) in serum were measured by targeted-lipidomic analyses. By accessing to an established prospective cohort that involves a total of 2486 non-diabetic adults at baseline, 100 subjects who developed T2DM after a mean follow-up of 4.2-years, along with 100 control subjects matched strictly with age, sex, BMI and fasting glucose, were randomly enrolled for the present study. RESULTS: Comparison with the control group, medians of serum dhS1P and dhS1P/dhSph ratio at baseline were elevated significantly prior to the onset of T2DM. Each SD increment of dhS1P and dhS1P/dhSph ratio was associated with 53.5% and 54.1% increased risk of incident diabetes, respectively. The predictive effect of circulating dhS1P and dhS1P/dhSph ratio on T2DM incidence was independent of conventional risk factors in multivariate regression models. Furthermore, combination of serum dhS1P and dhS1P/dhSph ratio with conventional clinical indices significantly improved the accuracy of T2DM prediction (AUROC, 0.726), especially for normoglycemic subjects (AUROC, 0.859). CONCLUSION: Circulating levels of dhS1P and dhS1P/dhSph ratio are strongly associated with increased risk of T2DM, and could serve as a useful biomarker for prediction of incident T2DM in normoglycemic populations.
format Online
Article
Text
id pubmed-8447705
institution National Center for Biotechnology Information
language English
publishDate 2021
publisher BioMed Central
record_format MEDLINE/PubMed
spelling pubmed-84477052021-09-20 Identification of circulating sphingosine kinase-related metabolites for prediction of type 2 diabetes Chen, Qi Wang, Wei Xia, Ming-Feng Lu, You-li Bian, Hua Yu, Chen Li, Xiao-Ying Vadas, Mathew A. Gao, Xin Lin, Huan-Dong Xia, Pu J Transl Med Research BACKGROUND: Sphingosine Kinase (SphK) that catalyzes sphingosine (Sph) to sphingosine 1-phosphate (S1P), plays a key role in both sphingolipid metabolism and cellular signaling. While SphK has been implicated in type 2 diabetes mellitus (T2DM), it is unexplored in humans. Herein, we investigated whether circulating SphK-related metabolites are associated with T2DM incidence in an established prospective cohort. METHODS: Levels of SphK-related sphingolipid metabolites, including Sph, S1P, dihydrosphingosine (dhSph) and dihydro-S1P (dhS1P) in serum were measured by targeted-lipidomic analyses. By accessing to an established prospective cohort that involves a total of 2486 non-diabetic adults at baseline, 100 subjects who developed T2DM after a mean follow-up of 4.2-years, along with 100 control subjects matched strictly with age, sex, BMI and fasting glucose, were randomly enrolled for the present study. RESULTS: Comparison with the control group, medians of serum dhS1P and dhS1P/dhSph ratio at baseline were elevated significantly prior to the onset of T2DM. Each SD increment of dhS1P and dhS1P/dhSph ratio was associated with 53.5% and 54.1% increased risk of incident diabetes, respectively. The predictive effect of circulating dhS1P and dhS1P/dhSph ratio on T2DM incidence was independent of conventional risk factors in multivariate regression models. Furthermore, combination of serum dhS1P and dhS1P/dhSph ratio with conventional clinical indices significantly improved the accuracy of T2DM prediction (AUROC, 0.726), especially for normoglycemic subjects (AUROC, 0.859). CONCLUSION: Circulating levels of dhS1P and dhS1P/dhSph ratio are strongly associated with increased risk of T2DM, and could serve as a useful biomarker for prediction of incident T2DM in normoglycemic populations. BioMed Central 2021-09-16 /pmc/articles/PMC8447705/ /pubmed/34530846 http://dx.doi.org/10.1186/s12967-021-03066-z Text en © The Author(s) 2021 https://creativecommons.org/licenses/by/4.0/Open AccessThis article is licensed under a Creative Commons Attribution 4.0 International License, which permits use, sharing, adaptation, distribution and reproduction in any medium or format, as long as you give appropriate credit to the original author(s) and the source, provide a link to the Creative Commons licence, and indicate if changes were made. The images or other third party material in this article are included in the article's Creative Commons licence, unless indicated otherwise in a credit line to the material. If material is not included in the article's Creative Commons licence and your intended use is not permitted by statutory regulation or exceeds the permitted use, you will need to obtain permission directly from the copyright holder. To view a copy of this licence, visit http://creativecommons.org/licenses/by/4.0/ (https://creativecommons.org/licenses/by/4.0/) . The Creative Commons Public Domain Dedication waiver (http://creativecommons.org/publicdomain/zero/1.0/ (https://creativecommons.org/publicdomain/zero/1.0/) ) applies to the data made available in this article, unless otherwise stated in a credit line to the data.
spellingShingle Research
Chen, Qi
Wang, Wei
Xia, Ming-Feng
Lu, You-li
Bian, Hua
Yu, Chen
Li, Xiao-Ying
Vadas, Mathew A.
Gao, Xin
Lin, Huan-Dong
Xia, Pu
Identification of circulating sphingosine kinase-related metabolites for prediction of type 2 diabetes
title Identification of circulating sphingosine kinase-related metabolites for prediction of type 2 diabetes
title_full Identification of circulating sphingosine kinase-related metabolites for prediction of type 2 diabetes
title_fullStr Identification of circulating sphingosine kinase-related metabolites for prediction of type 2 diabetes
title_full_unstemmed Identification of circulating sphingosine kinase-related metabolites for prediction of type 2 diabetes
title_short Identification of circulating sphingosine kinase-related metabolites for prediction of type 2 diabetes
title_sort identification of circulating sphingosine kinase-related metabolites for prediction of type 2 diabetes
topic Research
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8447705/
https://www.ncbi.nlm.nih.gov/pubmed/34530846
http://dx.doi.org/10.1186/s12967-021-03066-z
work_keys_str_mv AT chenqi identificationofcirculatingsphingosinekinaserelatedmetabolitesforpredictionoftype2diabetes
AT wangwei identificationofcirculatingsphingosinekinaserelatedmetabolitesforpredictionoftype2diabetes
AT xiamingfeng identificationofcirculatingsphingosinekinaserelatedmetabolitesforpredictionoftype2diabetes
AT luyouli identificationofcirculatingsphingosinekinaserelatedmetabolitesforpredictionoftype2diabetes
AT bianhua identificationofcirculatingsphingosinekinaserelatedmetabolitesforpredictionoftype2diabetes
AT yuchen identificationofcirculatingsphingosinekinaserelatedmetabolitesforpredictionoftype2diabetes
AT lixiaoying identificationofcirculatingsphingosinekinaserelatedmetabolitesforpredictionoftype2diabetes
AT vadasmathewa identificationofcirculatingsphingosinekinaserelatedmetabolitesforpredictionoftype2diabetes
AT gaoxin identificationofcirculatingsphingosinekinaserelatedmetabolitesforpredictionoftype2diabetes
AT linhuandong identificationofcirculatingsphingosinekinaserelatedmetabolitesforpredictionoftype2diabetes
AT xiapu identificationofcirculatingsphingosinekinaserelatedmetabolitesforpredictionoftype2diabetes