Evidence map›Paper›PMID 34837546›Full record

ArticleMetabolomics : Official journal of the Metabolomic Society2021

Metabolites involved in purine degradation, insulin resistance, and fatty acid oxidation are associated with prediction of Gestational diabetes in plasma.

Lauren E McMichael, Hannah Heath, Catherine M Johnson, Rob Fanter, Noemi Alarcon, Adilene Quintana-Diaz, Kari Pilolla, Andrew Schaffner, Elissa Jelalian, Rena R Wing and 3 more

Erratum issuedOpen access · greenAbstract read
In one paragraph

Article in Metabolomics : Official journal of the Metabolomic Society, 2021. The graph could read no effect estimate from its abstract, so it casts no vote on the map. An erratum has been issued. Cited by 24 papers, 3 of them syntheses that pooled it.

0numbers the graph read from it
0cells of the map it votes in
24citing papers in PubMed, 3 pooled it
3.3field-weighted citation impact, top 7% 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

24 citing papers in PubMed, 3 syntheses or guidelines pooled it, 35 citations in OpenAlex.

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4 · The record

Corrections and comments

5 · Who and what money

Authors and funding

13 authors at 3 institutions in 2 countries.

Lauren E McMichael *Department of Food Science and Nutrition, California Polytechnic State University, San Luis Obispo, CA, USA.
Hannah Heath *Department of Food Science and Nutrition, California Polytechnic State University, San Luis Obispo, CA, USA.
Catherine M JohnsonDepartment of Food Science and Nutrition, California Polytechnic State University, San Luis Obispo, CA, USA.
Rob FanterCollege of Agriculture, Food and Environmental Sciences, California Polytechnic State University, San Luis Obispo, CA, USA.
Noemi AlarconDepartment of Kinesiology and Public Health, California Polytechnic State University, 1 Grand Ave, San Luis Obispo, CA, 93407, USA.
Adilene Quintana-DiazDepartment of Kinesiology and Public Health, California Polytechnic State University, 1 Grand Ave, San Luis Obispo, CA, 93407, USA.
Kari PilollaDepartment of Food Science and Nutrition, California Polytechnic State University, San Luis Obispo, CA, USA.
Andrew SchaffnerCenter for Health Research, California Polytechnic State University, San Luis Obispo, CA, USA.
Elissa JelalianDepartment of Psychiatry and Human Behavior, Warren Alpert Medical School at Brown University, Providence, RI, USA.
Rena R WingDepartment of Psychiatry and Human Behavior, Warren Alpert Medical School at Brown University, Providence, RI, USA.
Alex BritoLaboratory of Pharmacokinetics and Metabolomic Analysis, Institute of Translational Medicine and Biotechnology. I.M. Sechenov First, Moscow Medical University, Moscow, Russia.
Suzanne PhelanDepartment of Kinesiology and Public Health, California Polytechnic State University, 1 Grand Ave, San Luis Obispo, CA, 93407, USA.
Michael R La FranoDepartment of Food Science and Nutrition, California Polytechnic State University, San Luis Obispo, CA, USA. mlafrano@calpoly.edu.ORCID 0000-0002-2269-1688
California Polytechnic State University · USBrown University · USSechenov University · RU

Funding

Preventing excessive gestational weight gain in obese womenU01HL114377 · NHLBI · CALIFORNIA POLY STATE U SAN LUIS OBISPO · PI PHELAN, SUZANNE · 2011 to 2016
$4.5M
NHLBI NIH HHS U01 HL114377
6 · The paper itself

Abstract

introductionGestational diabetes mellitus (GDM) significantly increases maternal and fetal health risks, but factors predictive of GDM are poorly understood.

objectivesPlasma metabolomics analyses were conducted in early pregnancy to identify potential metabolites associated with prediction of GDM.

methodsSixty-eight pregnant women with overweight/obesity from a clinical trial of a lifestyle intervention were included. Participants who developed GDM (n = 34; GDM group) were matched on treatment group, age, body mass index, and ethnicity with those who did not develop GDM (n = 34; Non-GDM group). Blood draws were completed early in pregnancy (10-16 weeks). Plasma samples were analyzed by UPLC-MS using three metabolomics assays.

resultsOne hundred thirty moieties were identified. Thirteen metabolites including pyrimidine/purine derivatives involved in uric acid metabolism, carboxylic acids, fatty acylcarnitines, and sphingomyelins (SM) were different when comparing the GDM vs. the Non-GDM groups (p < 0.05). The most significant differences were elevations in the metabolites' hypoxanthine, xanthine and alpha-hydroxybutyrate (p < 0.002, adjusted p < 0.02) in GDM patients. A panel consisting of four metabolites: SM 14:0, hypoxanthine, alpha-hydroxybutyrate, and xanthine presented the highest diagnostic accuracy with an AUC = 0.833 (95% CI: 0.572686-0.893946), classifying as a "very good panel".

conclusionPlasma metabolites mainly involved in purine degradation, insulin resistance, and fatty acid oxidation, were altered in early pregnancy in connection with subsequent GDM development.

Indexed as

Diabetes, GestationalInsulin ResistanceChromatography, LiquidFatty AcidsFemaleHumansMetabolomicsPregnancyPurinesTandem Mass SpectrometryFatty AcidsPurinesGestational Diabetes MellitusLipidomicsMetabolitesMetabolomicsPregnancy

Identifiers

PMID34837546
PMCPMC8741304
OpenAlexW3215626243

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.