Evidence map›Paper›PMID 41337586›Full record

ArticleScience advances2025

Maternal lipidomic signatures of preterm and small-for-gestational-age newborn infants in low- and middle-income countries.

Ivana Marić, Ali Mahzarnia, Hilda A Mujuru, Gwendoline Chimhini, Samir K Saha, Mohammad Shameem Hassan, Nancy A Otieno, Steven Hawken, Kumanan Wilson, Xiaotao Shen and 10 more

Abstract read
In one paragraph

Article in Science advances, 2025. 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

20 authors.

Ivana MarićDepartment of Pediatrics, Stanford University School of Medicine, Stanford, CA, USA.ORCID 0000-0002-9441-521X
Ali MahzarniaDepartment of Pediatrics, Stanford University School of Medicine, Stanford, CA, USA.ORCID 0000-0003-2252-4529
Hilda A MujuruUniversity of Zimbabwe, Harare, Zimbabwe.ORCID 0000-0003-1615-3856
Gwendoline ChimhiniUniversity of Zimbabwe, Harare, Zimbabwe.
Samir K SahaChild Health Research Foundation, Dhaka, Bangladesh.
Mohammad Shameem HassanChild Health Research Foundation, Dhaka, Bangladesh.ORCID 0000-0002-1741-7705
Nancy A OtienoKenya Medical Research Institute, Nairobi, Kenya.ORCID 0000-0002-7083-4735
Steven HawkenOttawa Hospital Research Institute and University of Ottawa, Ottawa, Canada.ORCID 0000-0002-3341-9022
Kumanan WilsonBruyère Health Research Institute and Department of Medicine, University of Ottawa, Ottawa, Canada.ORCID 0000-0002-1741-7705
Xiaotao ShenSingapore Phenome Center, Lee Kong Chian School of Medicine, Nanyang Technological University.ORCID 0000-0002-9608-9964
Samuel LancasterDepartment of Genetics, Stanford University School of Medicine, Palo Alto, CA, USA.
Ronald J WongDepartment of Pediatrics, Stanford University School of Medicine, Stanford, CA, USA.ORCID 0000-0003-1205-6936
Jonathan D ReissDepartment of Pediatrics, Stanford University School of Medicine, Stanford, CA, USA.ORCID 0000-0003-1460-8570
John KernerDepartment of Pediatrics, Stanford University School of Medicine, Stanford, CA, USA.
Michael P SnyderDepartment of Genetics, Stanford University School of Medicine, Palo Alto, CA, USA.ORCID 0000-0003-0784-7987
William HayUniversity of Colorado, Denver, CO, USA.
Gary M ShawDepartment of Pediatrics, Stanford University School of Medicine, Stanford, CA, USA.ORCID 0000-0001-7438-4914
David K StevensonDepartment of Pediatrics, Stanford University School of Medicine, Stanford, CA, USA.
Victoria WardDepartment of Pediatrics, Stanford University School of Medicine, Stanford, CA, USA.ORCID 0000-0002-2283-4052
Gary L DarmstadtDepartment of Pediatrics, Stanford University School of Medicine, Stanford, CA, USA.ORCID 0000-0002-7522-5824

Funding

An Investigation of Omics for Bronchopulmonary DypslasiaK23HL173645 · NHLBI · STANFORD UNIVERSITY · PI JONATHAN REISS · 2025 to 2026
$385k
NHLBI NIH HHS K23 HL173645
6 · The paper itself

Abstract

Maternal lipid levels change dynamically during gestation to support normal fetal growth. To obtain a detailed footprint of these changes and their differences in pregnancies with preterm or small-for-gestational-age (SGA) neonates, we analyzed 641 lipids and 639 metabolites in plasma from women by 24 weeks of pregnancy from three cohorts from low- and middle-income countries: Bangladesh, Zimbabwe, and Kenya. We consistently found a significant lipid imbalance with increased lipid levels that preceded preterm birth and decreased levels that preceded SGA births. Changes were most pronounced in triglycerides, including triglycerides containing proinflammatory omega-6 polyunsaturated fatty acids (PUFAs) in pregnancies with preterm infants. A machine learning model for prediction of preterm birth had modest performance [area under the receiver operator curve (AUC) = 0.69, 95% confidence interval (CI) = (0.68, 0.70)] and lower performance for predicting SGA [AUC = 0.64, CI 95% = (0.62, 0.65)]. Increased triglycerides containing proinflammatory PUFAs provide further evidence in favor of a previously considered dietary supplementation with the long-chain fatty acids.

Indexed as

Infant, PrematureInfant, Small for Gestational AgeLipidomicsLipidsPremature BirthAdultBangladeshDeveloping CountriesFemaleHumansInfant, NewbornKenyaMachine LearningPregnancyLipids

Identifiers

PMID41337586
PMCPMC12674114

What OpenQuestion holds

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Registered trials

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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.