2024
DOI: 10.3389/fendo.2023.1245899
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Multigenerational diabetes mellitus

Jennifer M. Thornton,
Nishel M. Shah,
Karen A. Lillycrop
et al.

Abstract: Gestational diabetes (GDM) changes the maternal metabolic and uterine environment, thus increasing the risk of short- and long-term adverse outcomes for both mother and child. Children of mothers who have GDM during their pregnancy are more likely to develop Type 2 Diabetes (T2D), early-onset cardiovascular disease and GDM when they themselves become pregnant, perpetuating a multigenerational increased risk of metabolic disease. The negative effect of GDM is exacerbated by maternal obesity, which induces a gre… Show more

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Cited by 3 publications
(2 citation statements)
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“…However, maternal insulin sensitivity declines progressively in the second trimester, resulting in overt insulin resistance in the third trimester of pregnancy 5 . Hyperinsulinemia as a means of compensating for insulin resistance, through the pancreas β Cells release more insulin to cope with insulin resistance or metabolic stress 6 . Insufficient β-cell compensation for maternal insulin resistance contributes to reduced insulin secretion and impaired glucose tolerance, characteristic of GDM 7 .GDM may have an adverse effect on the health of mothers and offspring.…”
Section: Introductionmentioning
confidence: 99%
“…However, maternal insulin sensitivity declines progressively in the second trimester, resulting in overt insulin resistance in the third trimester of pregnancy 5 . Hyperinsulinemia as a means of compensating for insulin resistance, through the pancreas β Cells release more insulin to cope with insulin resistance or metabolic stress 6 . Insufficient β-cell compensation for maternal insulin resistance contributes to reduced insulin secretion and impaired glucose tolerance, characteristic of GDM 7 .GDM may have an adverse effect on the health of mothers and offspring.…”
Section: Introductionmentioning
confidence: 99%
“…Metabolomics, the detailed analysis of small-molecule metabolites within biological systems, stands out as a potent tool for uncovering metabolic changes and disease phenotypes. By mapping the entire metabolite spectrum in biological samples, it offers a detailed view of physiological and pathological states, shedding light on the biochemical pathways implicated in diabetes [1][2][3]. The metabolome's complexity and its sensitivity to genetic and environmental factors make it an ideal candidate for exploring the mechanisms of disease onset and progression.…”
Section: Introductionmentioning
confidence: 99%