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image/svg+xml Jakob Voss, based on art designer at PLoS, modified by Wikipedia users Nina and Beao Closed Access logo, derived from PLoS Open Access logo. This version with transparent background. http://commons.wikimedia.org/wiki/File:Closed_Access_logo_transparent.svg Jakob Voss, based on art designer at PLoS, modified by Wikipedia users Nina and Beao ZENODOarrow_drop_down
image/svg+xml Jakob Voss, based on art designer at PLoS, modified by Wikipedia users Nina and Beao Closed Access logo, derived from PLoS Open Access logo. This version with transparent background. http://commons.wikimedia.org/wiki/File:Closed_Access_logo_transparent.svg Jakob Voss, based on art designer at PLoS, modified by Wikipedia users Nina and Beao
ZENODO
Dataset . 2024
Data sources: ZENODO
ZENODO
Dataset . 2024
Data sources: Datacite
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NMR based clinical metabolomics can predict Gestational diabetes mellitus (GDM) during first trimester in North Indian Population: a pilot study

Authors: Kumar, Dinesh; Pragati, Gupta; Gurvinder, Singh; LATA, INDU;

NMR based clinical metabolomics can predict Gestational diabetes mellitus (GDM) during first trimester in North Indian Population: a pilot study

Abstract

Gestational diabetes mellitus (GDM), defined as hyperglycemia first identified during pregnancy in the second or third trimester, is a growing global concern due to the rising prevalence of obesity and diabetes. GDM is associated with significant short- and long-term health complications for both women and their offspring. During pregnancy, it increases the risks of obstetric issues such as gestational hypertension, dystocia, postpartum hemorrhage, and preterm birth, alongside fetal complications like macrosomia and congenital malformations. Additionally, GDM has intergenerational consequences, predisposing women and their children to chronic conditions including type 2 diabetes, obesity, cardiovascular disease, and dyslipidemia later in life. South Asian women have the highest global prevalence of GDM, hypothesized to result from genetic predispositions, higher adiposity, and dietary differences. However, this population remains underrepresented in GDM research, with only seven metabolomic studies to date, most involving fewer than 20 cases. This study seeks to identify serum metabolites associated with GDM and elucidate metabolic pathways distinguishing GDM from non-GDM pregnancies in North Indian women. 

The NMR spectral Data deposited here will be available for future validation studies on request to the corresponding authors. Dr. Dinesh Kumar: dineshcbmr@gmail.com; Dr. Indu Lata: indu@sgpgi.ac.in 

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This is an alternative to the "Influence" indicator, which also reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
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popularity
This indicator reflects the "current" impact/attention (the "hype") of an article in the research community at large, based on the underlying citation network.
BIP!Popularity provided by BIP!
influence
This indicator reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
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impulse
This indicator reflects the initial momentum of an article directly after its publication, based on the underlying citation network.
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