Maternal and fetal genetic predispositions to insulin deficiency and resistance affect fetal growth through distinct pathways

Reduced fetal growth may be driven by lipodystrophy-related insulin resistance and IFG-related insulin deficiency pathways. Targeting pregnant women with high type 2 diabetes PRS/pPRS and prescribing interventions to reduce their post-load hyperglycaemia and BMI may help reduce offspring risk of LGA.

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Publication Details

Journal
Diabetologia
Published
2026-02-03
DOI
https://doi.org/10.1007/s00125-026-06669-7
Primary Topic
Gestational Diabetes Research and Management
Type
article
Field-Weighted Citation Impact
0.00

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article

Maternal and fetal genetic predispositions to insulin deficiency and resistance affect fetal growth through distinct pathways

MAI SHI, Alice E. Hughes, Professor Wing Hung Tam, GECHANG YU et al.
Diabetologia
Gestational Diabetes Research and Management
article

Maternal and fetal genetic predispositions to insulin deficiency and resistance affect fetal growth through distinct pathways

MAI SHI, Alice E. Hughes, Professor Wing Hung Tam, GECHANG YU, Chuiguo Huang, Cadmon K. P. Lim, Ronald C. W. Ma, Claudia H. T. Tam, Yuzhi Deng, Michael N. Weedon, Richard A. Oram, Chi Chiu Wang, Juliana C. N. Chan, Rachel M. Freathy
article en

Abstract

Reduced fetal growth may be driven by lipodystrophy-related insulin resistance and IFG-related insulin deficiency pathways. Targeting pregnant women with high type 2 diabetes PRS/pPRS and prescribing interventions to reduce their post-load hyperglycaemia and BMI may help reduce offspring risk of LGA.

Diabetologia
Northwestern University (US), Chinese University of Hong Kong (HK), University of Exeter (GB), Shatin Hospital (CN), University of Hong Kong (HK)
Impact Fund, Wellcome Trust, National Institute for Health and Care Research, Department of Health and Social Care, Chinese University of Hong Kong, National Institute of Diabetes and Digestive and Kidney Diseases, National Institute of Child Health and Human Development
Openalex Percentile: Top 70%
Gestational Diabetes Research and Management
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