Cited by 390Gestational Diabetes Research and ManagementPregnancy and preeclampsia studiesBirth, Development, and Health

Gestational Diabetes Induces Placental Genes for Chronic Stress and Inflammatory Pathways

Radaelli, Tatjana, Varastehpour, Ali, Catalano, Patrick, Hauguel-de Mouzon, Sylvie·2003·Diabetes

Abstract

A physiological state of insulin resistance is required to preferentially direct maternal nutrients toward the feto-placental unit, allowing adequate growth of the fetus. When women develop gestational diabetes mellitus (GDM), insulin resistance is more severe and disrupts the intrauterine milieu, resulting in accelerated fetal development with increased risk of macrosomia. As a natural interface between mother and fetus, the placenta is the obligatory target of such environmental changes. However, the molecular basis for the imbalance that leads to fetal, neonatal, and adult metabolic compromises is not well understood. We report that GDM elicits major changes in the expression profile of placental genes with a prominent increase in markers and mediators of inflammation. Within the 435 transcripts reproducibly modified, genes for stress-activated and inflammatory responses represented the largest functional cluster (18.5% of regulated genes). Upregulation of interleukins, leptin, and tumor necrosis factor-α receptors and their downstream molecular adaptors indicated an activation of pathways recruiting stress-activated protein/c-Jun NH2-terminal kinases. Transcriptional activation of extracellular matrix components and angiogenic activators pointed to a major structural reorganization of the placenta. Thus, placental transcriptome emerges as a primary target of the altered environment of diabetic pregnancy. The genes identified provide the basis to elucidate links between inflammatory pathways and GDM-associated insulin resistance.

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Crossref · 10.2337/diabetes.52.12.2951

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  • Placental gene expression of TNF-α, IL-1β and their receptors has been reported to be increased in GDM.

    “Similarly, placental gene expression of TNF-α, IL-1β and their receptors has been reported to be increased in GDM [118,119].”

    From The Pathophysiology of Gestational Diabetes Mellitus (2018) · cites this paper as [119]

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References 49 · Cited by 390

Authors
Radaelli, T., Varastehpour, A., Catalano, P., & Hauguel-de Mouzon, S.
Affiliations
  • MetroHealth Medical Center (US)
  • From the Department of Reproductive Biology, Schwartz Center for Metabolism and Nutrition, University School of Medicine at MetroHealth Medical Center, Case Western Reserve University, Cleveland, Ohio
Venue
Diabetes
Published
2003-12-01
Volume
52
Issue
12
Pages
2951-2958
ISSN
  • 0012-1797 (ISSN-L)
  • 1939-327X
OpenAlex
W2156371303
Cited by
390
References
49
Citations by year
2026: 9 · 2025: 10 · 2024: 14 · 2023: 25 · 2022: 20 · 2021: 20 · 2020: 24 · 2019: 23 · 2018: 22 · 2017: 20 · 2016: 31 · 2015: 25 · 2014: 25 · 2013: 19 · 2012: 14
FWCI
10.77
Type
journal article
Language
en
Open access
closed
Locations
  • Diabetes (publishedVersion)
  • PubMed (publishedVersion)
Funders
  • Case Western Reserve University
  • National Institutes of Health
  • Eunice Kennedy Shriver National Institute of Child Health and Human Development (R01 HD 22965)
Topics
  • Health Sciences › Medicine › Obstetrics and Gynecology › Gestational Diabetes Research and Management
  • Health Sciences › Medicine › Obstetrics and Gynecology › Pregnancy and preeclampsia studies
  • Health Sciences › Medicine › Pediatrics, Perinatology and Child Health › Birth, Development, and Health
Keywords
gestational diabetes mellitus, placenta, placental transcriptome, insulin resistance, chronic stress, inflammation, interleukins, leptin, tumor necrosis factor-alpha receptor, c-Jun NH2-kinase, extracellular matrix, angiogenesis, macrosomia, fetal development
MeSH terms
Adult, Chronic Disease, Female, Gene Expression Regulation, Multigene Family, Humans, Inflammation, Insulin Resistance, Placenta, Pregnancy, Stress, Physiological, Case-Control Studies, Diabetes, Gestational, Gene Expression Profiling

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