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Circulating microRNAs from early childhood and adolescence are associated with pre-diabetes at 18 years of age in women from the PMNS cohort

Published online by Cambridge University Press:  22 April 2022

Mugdha V. Joglekar ,
Pooja S. Kunte ,
Wilson K.M. Wong ,
Dattatray. S. Bhat ,
Sarang N. Satoor ,
Rohan R. Patil ,
Mahesh S. Karandikar ,
Caroline H. D. Fall ,
Chittaranjan S. Yajnik Open the ORCID record for Chittaranjan S. Yajnik [Opens in a new window]  and
Anandwardhan A. Hardikar Open the ORCID record for Anandwardhan A. Hardikar [Opens in a new window]
Mugdha V. Joglekar
Affiliation:
Diabetes and Islet Biology Group, School of Medicine, Western Sydney University, Campbelltown, NSW, Australia
Pooja S. Kunte
Affiliation:
Diabetes Unit, KEM Hospital and Research Center, Pune, India
Wilson K.M. Wong
Affiliation:
Diabetes and Islet Biology Group, School of Medicine, Western Sydney University, Campbelltown, NSW, Australia
Dattatray. S. Bhat
Affiliation:
Diabetes Unit, KEM Hospital and Research Center, Pune, India
Sarang N. Satoor
Affiliation:
DNA Sequencing Facility, National Centre for Cell Science, NCMR Campus, Pune, India
Rohan R. Patil
Affiliation:
DY Patil Medical College, DY Patil University, Pune, India
Mahesh S. Karandikar
Affiliation:
DY Patil Medical College, DY Patil University, Pune, India
Caroline H. D. Fall
Affiliation:
MRC Lifecourse Epidemiology Unit, Southampton University and General Hospital, Southampton, UK
Chittaranjan S. Yajnik*
Affiliation:
Diabetes Unit, KEM Hospital and Research Center, Pune, India
Anandwardhan A. Hardikar*
Affiliation:
Diabetes and Islet Biology Group, School of Medicine, Western Sydney University, Campbelltown, NSW, Australia
*
Addresses for correspondence: Anandwardhan A. Hardikar, Diabetes and Islet Biology Group, School of Medicine, Western Sydney University, Campbelltown, NSW 2560, Australia. Email: A.Hardikar@westernsydney.edu.au; Chittaranjan S. Yajnik, KEM Hospital and Research Center, Pune, India. Email: csyajnik@gmail.com
Addresses for correspondence: Anandwardhan A. Hardikar, Diabetes and Islet Biology Group, School of Medicine, Western Sydney University, Campbelltown, NSW 2560, Australia. Email: A.Hardikar@westernsydney.edu.au; Chittaranjan S. Yajnik, KEM Hospital and Research Center, Pune, India. Email: csyajnik@gmail.com
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Abstract

With type 2 diabetes presenting at younger ages, there is a growing need to identify biomarkers of future glucose intolerance. A high (20%) prevalence of glucose intolerance at 18 years was seen in women from the Pune Maternal Nutrition Study (PMNS) birth cohort. We investigated the potential of circulating microRNAs in risk stratification for future pre-diabetes in these women. Here, we provide preliminary longitudinal analyses of circulating microRNAs in normal glucose tolerant (NGT@18y, N = 10) and glucose intolerant (N = 8) women (ADA criteria) at 6, 12 and 17 years of their age using discovery analysis (OpenArray™ platform). Machine-learning workflows involving Lasso with bootstrapping/leave-one-out cross-validation identified microRNAs associated with glucose intolerance at 18 years of age. Several microRNAs, including miR-212-3p, miR-30e-3p and miR-638, stratified glucose-intolerant women from NGT at childhood. Our results suggest that circulating microRNAs, longitudinally assessed over 17 years of life, are dynamic biomarkers associated with and predictive of pre-diabetes at 18 years of age. Validation of these findings in males and remaining participants from the PMNS birth cohort will provide a unique opportunity to study novel epigenetic mechanisms in the life-course progression of glucose intolerance and enhance current clinical risk prediction of pre-diabetes and progression to type 2 diabetes.

Keywords

isletMicroRNAsPune Maternal Nutrition Studymachine learningPre-diabetes
Type
Brief Reports
Information
Journal of Developmental Origins of Health and Disease , Volume 13 , Issue 6 , December 2022 , pp. 806 - 811
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Copyright
© The Author(s), 2022. Published by Cambridge University Press in association with International Society for Developmental Origins of Health and Disease

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