Evidence map›Paper›PMID 36950879›Full record

ArticleThe Journal of clinical endocrinology and metabolism2023

Towards Precision Medicine in Gestational Diabetes: Pathophysiology and Glycemic Patterns in Pregnant Women With Obesity.

Sara L White, Albert Koulman, Susan E Ozanne, Samuel Furse, Lucilla Poston, Claire L Meek

Open access · hybridAbstract read
In one paragraph

Article in The Journal of clinical endocrinology and metabolism, 2023. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 10 papers.

0numbers the graph read from it
0cells of the map it votes in
10citing papers in PubMed
4.1field-weighted citation impact, top 6% 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

10 citing papers in PubMed, 14 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

6 authors at 2 institutions in 1 country.

Sara L WhiteDepartment of Women and Children's Health, School of Life Course and Population Sciences, Faculty of Life Sciences and Medicine, King's College London, London, SE1 7EH, UK.ORCID 0000-0001-7979-0508
Albert KoulmanCore Metabolomics and Lipidomics Laboratory, Wellcome Trust-MRC Institute of Metabolic Science, University of Cambridge, Addenbrooke's Treatment Centre, Cambridge, CB2 0QQ, UK.ORCID 0000-0001-9998-051X
Susan E OzanneWellcome Trust-MRC Institute of Metabolic Science, University of Cambridge, Addenbrooke's Treatment Centre, Cambridge, CB2 0QQ, UK.ORCID 0000-0001-8753-5144
Samuel FurseCore Metabolomics and Lipidomics Laboratory, Wellcome Trust-MRC Institute of Metabolic Science, University of Cambridge, Addenbrooke's Treatment Centre, Cambridge, CB2 0QQ, UK.ORCID 0000-0003-4267-2051
Lucilla PostonDepartment of Women and Children's Health, School of Life Course and Population Sciences, Faculty of Life Sciences and Medicine, King's College London, London, SE1 7EH, UK.
Claire L MeekCore Metabolomics and Lipidomics Laboratory, Wellcome Trust-MRC Institute of Metabolic Science, University of Cambridge, Addenbrooke's Treatment Centre, Cambridge, CB2 0QQ, UK.ORCID 0000-0002-4176-8329
University of Cambridge · GBKing's College London · GB

Funding

Biotechnology and Biological Sciences Research Council BB/M027252/1British Heart Foundation RG/17/12/33167Chief Scientist Office CZB/A/680Department of Health RP-PG-0407-10452Department of Health SC039280Diabetes UK 14/0004849Diabetes UK 17/0005712Medical Research Council MC_UU_00014/4Medical Research Council MC-UU-12012/4Medical Research Council MR/L002477/1
6 · The paper itself

Abstract

aimsPrecision medicine has revolutionized our understanding of type 1 diabetes and neonatal diabetes but has yet to improve insight into gestational diabetes mellitus (GDM), the most common obstetric complication and strongly linked to obesity. Here we explored if patterns of glycaemia (fasting, 1 hour, 2 hours) during the antenatal oral glucose tolerance test (OGTT), reflect distinct pathophysiological subtypes of GDM as defined by insulin secretion/sensitivity or lipid profiles.

methods867 pregnant women with obesity (body mass index ≥ 30 kg/m2) from the UPBEAT trial (ISRCTN 89971375) were assessed for GDM at 28 weeks' gestation (75 g oral glucose tolerance test OGTT; World Health Organization criteria). Lipid profiling of the fasting plasma OGTT sample was undertaken using direct infusion mass spectrometry and analyzed by logistic/linear regression, with and without adjustment for confounders. Insulin secretion and sensitivity were characterized by homeostatic model assessment 2b and 2s, respectively.

resultsIn women who developed GDM (n = 241), patterns of glycaemia were associated with distinct clinical and biochemical characteristics and changes to lipid abundance in the circulation. Severity of glucose derangement, rather than pattern of postload glycaemia, was most strongly related to insulin action and lipid abundance/profile. Unexpectedly, women with isolated postload hyperglycemia had comparable insulin secretion and sensitivity to euglycemic women, potentially indicative of a novel mechanistic pathway.

conclusionsPatterns of glycemia during the OGTT may contribute to a precision approach to GDM as assessed by differences in insulin resistance/secretion. Further research is indicated to determine if isolated postload hyperglycemia reflects a different mechanistic pathway for targeted management.

Indexed as

Diabetes, GestationalHyperglycemiaInsulin ResistanceBlood GlucoseFemaleHumansInfant, NewbornInsulinLipidsObesityPrecision MedicinePregnancyPregnant PeopleBlood GlucoseInsulinLipidsde novo lipogenesisfasting hyperglycemiagestational diabetesglycemiahyperglycemiainsulin resistancelipid dysfunctionlipidomicsobesityoral glucose tolerance testpathophysiologyprecision medicinepregnancysubgroupstriglycerides

Identifiers

PMID36950879
PMCPMC10807907
OpenAlexW4360600356

What OpenQuestion holds

Textmetadata
LicenceCC BY
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.