Evidence map›Paper›PMID 37802200›Full record

ArticleMetabolism: clinical and experimental2023

Postpartum defects in inflammatory response after gestational diabetes precede progression to type 2 diabetes: a nested case-control study within the SWIFT study.

Julie A D Van, Yihan Luo, Jayne S Danska, Feihan Dai, Stacey E Alexeeff, Erica P Gunderson, Hannes Rost, Michael B Wheeler

Open access · bronzeAbstract read
In one paragraph

Article in Metabolism: clinical and experimental, 2023. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 12 papers.

0numbers the graph read from it
0cells of the map it votes in
12citing papers in PubMed
2.4field-weighted citation impact, top 11% of its field
1 · What the graph read from it

What it found

Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.

The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.

2 · The registry

The trial behind it

Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.

Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.

3 · Its place in the literature

Who cites it

12 citing papers in PubMed, 8 citations in OpenAlex.

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4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

8 authors at 4 institutions in 2 countries.

Julie A D VanDepartment of Physiology, Faculty of Medicine, University of Toronto, Toronto, Ontario, Canada; Metabolism Research Group, Division of Advanced Diagnostics, Toronto General Research Institute, Toronto, Ontario, Canada. Electronic address: julie.van@mail.utoronto.ca.
Yihan LuoDepartment of Physiology, Faculty of Medicine, University of Toronto, Toronto, Ontario, Canada; Metabolism Research Group, Division of Advanced Diagnostics, Toronto General Research Institute, Toronto, Ontario, Canada.
Jayne S DanskaProgram in Genetics and Genome Biology, Hospital for Sick Children Research Institute, Toronto, Ontario, Canada; Departments of Immunology and Medical Biophysics, University of Toronto, Toronto, Ontario, Canada.
Feihan DaiDepartment of Physiology, Faculty of Medicine, University of Toronto, Toronto, Ontario, Canada.
Stacey E AlexeeffDivision of Research, Kaiser Permanente Northern California, Oakland, California, United States of America.
Erica P GundersonDivision of Research, Kaiser Permanente Northern California, Oakland, California, United States of America; Department of Health Systems Science, Kaiser Permanente Bernard J. Tyson School of Medicine, Pasadena, California, United States of America.
Hannes RostDepartment of Molecular Genetics, University of Toronto, Toronto, Ontario, Canada; Donnelly Centre for Cellular and Biomolecular Research, University of Toronto, Toronto, Ontario, Canada.
Michael B WheelerDepartment of Physiology, Faculty of Medicine, University of Toronto, Toronto, Ontario, Canada; Metabolism Research Group, Division of Advanced Diagnostics, Toronto General Research Institute, Toronto, Ontario, Canada. Electronic address: michael.wheeler@utoronto.ca.
University of Toronto · CACanadian Institute for Advanced Research · CAKaiser Permanente · USOntario Institute for Cancer Research · CA

Funding

Fetal and Early Postnatal Influences on Child Metabolic Health After Gestational DiabetesR01DK122700 · NIDDK · KAISER FOUNDATION RESEARCH INSTITUTE · PI GUNDERSON, ERICA PAULINE · 2020 to 2024
$3.4M
Metabolite Profiles Preceding Progression to Diabetes Mellitus after Gestational DiabetesR01DK118409 · NIDDK · KAISER FOUNDATION RESEARCH INSTITUTE · PI GUNDERSON, ERICA PAULINE · 2018 to 2023
$3.1M
Lactation and Glucose Tolerance After GDM PregnancyR01HD050625 · NICHD · KAISER FOUNDATION RESEARCH INSTITUTE · PI GUNDERSON, ERICA PAULINE · 2007 to 2011
$3.1M
Biomarker of Pancreatic B-cell Loss Predicting Progression to Type 2 Diabetes After Gestational DiabetesR01DK132011 · NIDDK · LSU PENNINGTON BIOMEDICAL RESEARCH CTR · PI Gang Hu, Yeyi Zhu · 2023 to 2026
$2.6M
NICHD NIH HHS R01 HD050625NIDDK NIH HHS R01 DK118409NIDDK NIH HHS R01 DK122700NIDDK NIH HHS R01 DK132011
6 · The paper itself

Abstract

backgroundGestational diabetes (GDM) is a distinctive form of diabetes that first presents in pregnancy. While most women return to normoglycemia after delivery, they are nearly ten times more likely to develop type 2 diabetes than women with uncomplicated pregnancies. Current prevention strategies remain limited due to our incomplete understanding of the early underpinnings of progression.

aimTo comprehensively characterize the postpartum profiles of women shortly after a GDM pregnancy and identify key mechanisms responsible for the progression to overt type 2 diabetes using multi-dimensional approaches.

methodsWe conducted a nested case-control study of 200 women from the Study of Women, Infant Feeding and Type 2 Diabetes After GDM Pregnancy (SWIFT) to examine biochemical, proteomic, metabolomic, and lipidomic profiles at 6-9 weeks postpartum (baseline) after a GDM pregnancy. At baseline and annually up to two years, SWIFT administered research 2-hour 75-gram oral glucose tolerance tests. Women who developed incident type 2 diabetes within four years of delivery (incident case group, n = 100) were pair-matched by age, race, and pre-pregnancy body mass index to those who remained free of diabetes for at least 8 years (control group, n = 100). Correlation analyses were used to assess and integrate relationships across profiling platforms.

resultsAt baseline, all 200 women were free of diabetes. The case group was more likely to present with dysglycemia (e.g., impaired fasting glucose levels, glucose tolerance, or both). We also detected differences between groups across all omic platforms. Notably, protein profiles revealed an underlying inflammatory response with perturbations in protease inhibitors, coagulation components, extracellular matrix components, and lipoproteins, whereas metabolite and lipid profiles implicated disturbances in amino acids and triglycerides at individual and class levels with future progression. We identified significant correlations between profile features and fasting plasma insulin levels, but not with fasting glucose levels. Additionally, specific cross-omic relationships, particularly among proteins and lipids, were accentuated or activated in the case group but not the control group.

conclusionsOverall, we applied orthogonal, complementary profiling techniques to uncover an inflammatory response linked to elevated triglyceride levels shortly after a GDM pregnancy, which is more pronounced in women who progress to overt diabetes.

Indexed as

Diabetes, GestationalDiabetes Mellitus, Type 2Case-Control StudiesChildFemaleGlucoseHumansInfantPregnancyProteomicsGlucoseGestational diabetesInflammationLipidomicsMetabolomicsProteomicsType 2 diabetes

Identifiers

PMID37802200
PMCPMC13278786
OpenAlexW4387368968

What OpenQuestion holds

Textmetadata
LicenceCC BY-NC-ND
Read underepoch 390

Registered trials

None linked

Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.