Evidence map›Paper›PMID 35450870›Full record

ArticleBMJ open diabetes research & care2022

Serum metabolomic signatures of gestational diabetes in South Asian and white European women.

Claudia Sikorski, Sandi Azab, Russell J de Souza, Meera Shanmuganathan, Dipika Desai, Koon Teo, Stephanie A Atkinson, Katherine Morrison, Milan Gupta, Philip Britz-McKibbin and 1 more

Open access · goldAbstract read
In one paragraph

Article in BMJ open diabetes research & care, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 14 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
14citing papers in PubMed, 1 pooled it
5.9field-weighted citation impact, top 3% 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

14 citing papers in PubMed, 1 synthesis or guideline pooled it, 34 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

11 authors at 3 institutions in 1 country.

Claudia SikorskiDepartment of Health Research Methods, Evidence, and Impact, McMaster University, Hamilton, Ontario, Canada.ORCID 0000-0001-6228-7500
Sandi AzabDepartment of Medicine, McMaster University, Hamilton, Ontario, Canada.
Russell J de SouzaDepartment of Health Research Methods, Evidence, and Impact, McMaster University, Hamilton, Ontario, Canada.
Meera ShanmuganathanDepartment of Chemistry and Chemical Biology, McMaster University, Hamilton, Ontario, Canada.
Dipika DesaiDepartment of Health Research Methods, Evidence, and Impact, McMaster University, Hamilton, Ontario, Canada.
Koon TeoGlobal and Population Health, Population Health Research Institute, Hamilton, Ontario, Canada.
Stephanie A AtkinsonDepartment of Pediatrics, McMaster University, Hamilton, Ontario, Canada.
Katherine MorrisonDepartment of Pediatrics, McMaster University, Hamilton, Ontario, Canada.ORCID 0000-0002-1737-256X
Milan GuptaDepartment of Medicine, McMaster University, Hamilton, Ontario, Canada.
Philip Britz-McKibbinDepartment of Chemistry and Chemical Biology, McMaster University, Hamilton, Ontario, Canada.
Sonia S AnandDepartment of Health Research Methods, Evidence, and Impact, McMaster University, Hamilton, Ontario, Canada anands@mcmaster.ca.ORCID 0000-0003-3692-7441
McMaster University · CAPopulation Health Research Institute · CACanadian Respiratory Research Network · CA

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

introductionThis study aimed to identify serum metabolomic signatures associated with gestational diabetes mellitus (GDM), and to examine if ethnic-specific differences exist between South Asian and white European women. RESEARCH DESIGN AND

methodsProspective cohort study with a nested case-control analysis of 600 pregnant women from two Canadian birth cohorts; using an untargeted approach, 63 fasting serum metabolites were measured and analyzed using multisegment injection-capillary electrophoresis-mass spectrometry. Multivariate logistic regression modeling was conducted overall and by cohort.

resultsThe proportion of women with GDM was higher in South Asians (27.1%) compared with white Europeans (17.9%). Several amino acid, carbohydrate, and lipid pathways related to GDM were common to South Asian and white European women. Elevated circulating concentrations of glutamic acid, propionylcarnitine, tryptophan, arginine, 2-hydroxybutyric acid, 3-hydroxybutyric acid, and 3-methyl-2-oxovaleric acid were associated with higher odds of GDM, while higher glutamine, ornithine, oxoproline, cystine, glycine with lower odds of GDM. Per SD increase in glucose concentration, the odds of GDM increased (OR=2.07, 95% CI 1.58 to 2.71), similarly for metabolite ratios: glucose to glutamine (OR=2.15, 95% CI 1.65 to 2.80), glucose to creatinine (OR=1.79, 95% CI 1.39 to 2.32), and glutamic acid to glutamine (OR=1.46, 95% CI 1.16 to 1.83). South Asians had higher circulating ratios of glucose to glutamine, glucose to creatinine, arginine to ornithine, and citrulline to ornithine, compared with white Europeans.

conclusionsWe identified a panel of serum metabolites implicated in GDM pathophysiology, consistent in South Asian and white European women. The metabolic alterations leading to larger ratios of glucose to glutamine, glucose to creatinine, arginine to ornithine, and citrulline to ornithine in South Asians likely reflect the greater burden of GDM among South Asians compared with white Europeans.

Indexed as

Diabetes, GestationalArginineAsian PeopleCanadaCitrullineCreatinineFemaleGlucoseGlutamic AcidGlutamineHumansOrnithinePregnancyProspective StudiesArginineCitrullineCreatinineGlucoseGlutamic AcidGlutamineOrnithinecohort studiesdiabetes, gestationalmetabolismpregnancy

Identifiers

PMID35450870
PMCPMC9024260
OpenAlexW4224253259

What OpenQuestion holds

Textmetadata
LicenceCC BY-NC
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.