Evidence map›Paper›PMID 41741596›Full record

ArticleScientific reports2026

Association between gestational weight gain and metabolic and inflammatory biomarkers in the ETCHED cohort.

Sourav RoyChoudhury, Rachel Caballero, Dorota Wasak, Yunhua L Muller, Zaqueena Coleman, William C Knowler, Robert L Hanson, Marilyn Q Sale, Madhumita Sinha

Abstract read
In one paragraph

Article in Scientific reports, 2026. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

0numbers the graph read from it
0cells of the map it votes in
0citing papers in PubMed
–field-weighted citation impact
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

0 citing papers in PubMed.

No citing paper in PubMed yet.

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

9 authors.

Sourav RoyChoudhuryDiabetes Epidemiology and Clinical Research Section, National Institute of Diabetes and Digestive and Kidney Diseases (NIDDK), Phoenix Epidemiology and Clinical Research Branch (PECRB), National Institutes of Health (NIH), 850 N 5th St. Suite 506, Phoenix, AZ, 85004, USA.
Rachel CaballeroDiabetes Epidemiology and Clinical Research Section, National Institute of Diabetes and Digestive and Kidney Diseases (NIDDK), Phoenix Epidemiology and Clinical Research Branch (PECRB), National Institutes of Health (NIH), 850 N 5th St. Suite 506, Phoenix, AZ, 85004, USA.
Dorota WasakDiabetes Epidemiology and Clinical Research Section, National Institute of Diabetes and Digestive and Kidney Diseases (NIDDK), Phoenix Epidemiology and Clinical Research Branch (PECRB), National Institutes of Health (NIH), 850 N 5th St. Suite 506, Phoenix, AZ, 85004, USA.
Yunhua L MullerDiabetes Epidemiology and Clinical Research Section, National Institute of Diabetes and Digestive and Kidney Diseases (NIDDK), Phoenix Epidemiology and Clinical Research Branch (PECRB), National Institutes of Health (NIH), 850 N 5th St. Suite 506, Phoenix, AZ, 85004, USA.
Zaqueena ColemanDiabetes Epidemiology and Clinical Research Section, National Institute of Diabetes and Digestive and Kidney Diseases (NIDDK), Phoenix Epidemiology and Clinical Research Branch (PECRB), National Institutes of Health (NIH), 850 N 5th St. Suite 506, Phoenix, AZ, 85004, USA.
William C KnowlerDiabetes Epidemiology and Clinical Research Section, National Institute of Diabetes and Digestive and Kidney Diseases (NIDDK), Phoenix Epidemiology and Clinical Research Branch (PECRB), National Institutes of Health (NIH), 850 N 5th St. Suite 506, Phoenix, AZ, 85004, USA.
Robert L HansonDiabetes Epidemiology and Clinical Research Section, National Institute of Diabetes and Digestive and Kidney Diseases (NIDDK), Phoenix Epidemiology and Clinical Research Branch (PECRB), National Institutes of Health (NIH), 850 N 5th St. Suite 506, Phoenix, AZ, 85004, USA.
Marilyn Q SaleDiabetes Epidemiology and Clinical Research Section, National Institute of Diabetes and Digestive and Kidney Diseases (NIDDK), Phoenix Epidemiology and Clinical Research Branch (PECRB), National Institutes of Health (NIH), 850 N 5th St. Suite 506, Phoenix, AZ, 85004, USA.
Madhumita SinhaDiabetes Epidemiology and Clinical Research Section, National Institute of Diabetes and Digestive and Kidney Diseases (NIDDK), Phoenix Epidemiology and Clinical Research Branch (PECRB), National Institutes of Health (NIH), 850 N 5th St. Suite 506, Phoenix, AZ, 85004, USA. madhumita.sinha@nih.gov.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Gestational weight gain (GWG) is a critical determinant of maternal and neonatal health, with both excess (EGWG) and inadequate GWG (IGWG) linked to adverse pregnancy outcomes and metabolic risk. We investigated the association between maternal prenatal demographic, clinical, and metabolic biomarkers at baseline, and GWG in singleton pregnancies from the Early Tracking of Childhood Health Determinants (ETCHED) life-course cohort. GWG, defined as the difference between pregestational and pre-delivery weight, was the primary outcome. Among 120 eligible mothers, 79.2% self-identified as Hispanic and 16.0% as American Indian/Alaska Native. The cohort represented socioeconomically disadvantaged populations: 75% had a high school education or less, 31% were single mothers, and 52.5% reported an annual household income < $25,000. Compared with mothers with normal GWG, those with EGWG had significantly higher leptin and lower IL-8 levels (P < 0.05). A multivariate multinomial logistic regression identified leptin to be strongly associated with EGWG (OR/1 SD: 11.09; 95%CI 3.18–38.67; P = 0.001), followed by FGF21, IL8, and pregestational BMI. Higher cortisol levels were associated with increased risk of IGWG (OR/1 SD: 2.59; 95%CI 1.07–6.29; P = 0.03). EGWG was associated with higher rates of cesarean delivery and prematurity. These findings highlight distinct metabolic and inflammatory biomarkers associated with GWG in an understudied population.

Indexed as

BiomarkersGestational Weight GainInflammationAdultCohort StudiesFemaleHumansLeptinPregnancyPregnancy OutcomeBiomarkersLeptinAdverse pregnancy outcomeBiomarkersGestational weight gainPregnancy

Identifiers

PMID41741596
PMCPMC13044269

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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.