Asset Details
Do you wish to reserve the book?
Serum metabolomic profiles linking diabetes mellitus to pulmonary hypertension: a prospective cohort study with mediation analysis and risk prediction
Hey, we have placed the reservation for you!
By the way, why not check out events that you can attend while you pick your title.
Oops! Something went wrong.
Looks like we were not able to place the reservation. Kindly try again later.
Are you sure you want to remove the book from the shelf?
Serum metabolomic profiles linking diabetes mellitus to pulmonary hypertension: a prospective cohort study with mediation analysis and risk prediction
Do you wish to request the book?
Serum metabolomic profiles linking diabetes mellitus to pulmonary hypertension: a prospective cohort study with mediation analysis and risk prediction
Please be aware that the book you have requested cannot be checked out. If you would like to checkout this book, you can reserve another copy
We have requested the book for you!
Your request is successful and it will be processed during the Library working hours. Please check the status of your request in My Requests.
Oops! Something went wrong.
Looks like we were not able to place your request. Kindly try again later.
Journal Article
Serum metabolomic profiles linking diabetes mellitus to pulmonary hypertension: a prospective cohort study with mediation analysis and risk prediction
2026
Overview
Background
Metabolic dysregulation in patients with diabetes mellitus (DM) may contribute to pulmonary vascular remodeling, yet biomarkers for pulmonary hypertension (PH) risk in diabetes remain unclear.
Objectives
To assess the association between DM and incident PH, quantify mediation by circulating metabolites, and develop a metabolite-based PH risk model in diabetes.
Methods
In a prospective cohort of 459,714 UK Biobank participants without PH at baseline, Cox proportional hazard models estimated the association between DM and incident PH. Nuclear magnetic resonance (NMR) metabolomics, mediation analysis, and LASSO regression were used to identify metabolic mediators and construct a predictive model.
Results
During a median follow-up of 13.25 years, 2,250 PH cases occurred. DM was associated with a 39.6% higher PH risk (HR = 1.396, 95%CI:1.255–1.553;
P
< 0.001), and earlier DM onset was associated with stronger risk (
P
< 0.001). Seven NMR-derived metabolites—related to hyperglycemia, inflammation (glycoprotein acetyls), amino acid and lipid metabolism—mediated 37.26% of the total effect. Including these metabolites improved prediction in diabetes (C index from 0.692 to 0.735;
P
< 0.001).
Conclusions
DM is an independent risk factor for PH. Integration of NMR-derived metabolites improves risk prediction and suggests hyperglycemia and inflammation as key mechanisms, supporting the role of metabolomics in PH stratification and prevention among diabetes.
