Novel Indices of Glucose Homeostasis Derived from Principal Component Analysis: Application for Metabolic Assessment in Pregnancy.


Journal

Journal of diabetes research
ISSN: 2314-6753
Titre abrégé: J Diabetes Res
Pays: England
ID NLM: 101605237

Informations de publication

Date de publication:
2020
Historique:
received: 20 05 2019
accepted: 12 03 2020
entrez: 28 4 2020
pubmed: 28 4 2020
medline: 17 2 2021
Statut: epublish

Résumé

This study is aimed at assessing the association of previously developed indices of glucose homeostasis derived from principal component analysis (PCA) with parameters of insulin action, secretion, and beta cell function during pregnancy. In this prospective longitudinal study, an oral glucose tolerance test was performed in sixty-seven pregnant women at two prepartum (12+0 to 22+6 and 24+0 to 28+6) and one postpartum (2 to 11 months) visits. Three principal component scores (PCS) were calculated based on measurements of glucose, insulin, C-peptide, age, and BMI to assess their association with fasting and dynamic indices of insulin action, secretion, and PCS1 was positively associated with fasting and dynamic parameters of insulin sensitivity (Matsuda index: PCS1 to 3 behaved similarly as compared to previous observations in nonpregnant women and were furthermore associated with the development of GDM. These findings support our hypothesis that PCS1 to 3 could be used as novel indices of glucose disposal during pregnancy.

Identifiants

pubmed: 32337294
doi: 10.1155/2020/4950584
pmc: PMC7150715
doi:

Substances chimiques

Blood Glucose 0
C-Peptide 0
Insulin 0

Types de publication

Journal Article

Langues

eng

Sous-ensembles de citation

IM

Pagination

4950584

Informations de copyright

Copyright © 2020 Tina Stopp et al.

Déclaration de conflit d'intérêts

The authors have nothing to disclose.

Références

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Auteurs

Tina Stopp (T)

Department of Gynecology and Obstetrics, Division of Feto-Maternal Medicine, Medical University of Vienna, Vienna, Austria.

Michael Feichtinger (M)

Department of Gynecology and Obstetrics, Division of Feto-Maternal Medicine, Medical University of Vienna, Vienna, Austria.
Wunschbaby Institut Feichtinger, Vienna, Austria.

Ingo Rosicky (I)

Department of Gynecology and Obstetrics, Division of Feto-Maternal Medicine, Medical University of Vienna, Vienna, Austria.

Gülen Yerlikaya-Schatten (G)

Department of Gynecology and Obstetrics, Division of Feto-Maternal Medicine, Medical University of Vienna, Vienna, Austria.

Johannes Ott (J)

Department of Obstetrics and Gynecology, Division of Gynecologic Endocrinology and Reproductive Medicine, Medical University of Vienna, Vienna, Austria.

Hans Christian Egarter (HC)

Department of Obstetrics and Gynecology, Division of Gynecologic Endocrinology and Reproductive Medicine, Medical University of Vienna, Vienna, Austria.

Christian Schatten (C)

Department of Gynecology and Obstetrics, Division of Feto-Maternal Medicine, Medical University of Vienna, Vienna, Austria.

Wolfgang Eppel (W)

Department of Gynecology and Obstetrics, Division of Feto-Maternal Medicine, Medical University of Vienna, Vienna, Austria.

Peter Husslein (P)

Department of Gynecology and Obstetrics, Division of Feto-Maternal Medicine, Medical University of Vienna, Vienna, Austria.

Martina Mittlböck (M)

Center of Medical Statistics, Informatics, and Intelligent Systems, Section for Clinical Biometrics, Medical University of Vienna, Vienna, Austria.

Andrea Tura (A)

Metabolic Unit, CNR Institute of Neuroscience, Padova, Italy.

Christian S Göbl (CS)

Department of Gynecology and Obstetrics, Division of Feto-Maternal Medicine, Medical University of Vienna, Vienna, Austria.

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Classifications MeSH