Evidence map›Paper›PMID 31518348›Full record

ArticlePLoS medicine2019

Plasma phospholipid n-3 and n-6 polyunsaturated fatty acids in relation to cardiometabolic markers and gestational diabetes: A longitudinal study within the prospective NICHD Fetal Growth Studies.

Yeyi Zhu, Mengying Li, Mohammad L Rahman, Stefanie N Hinkle, Jing Wu, Natalie L Weir, Yuan Lin, Huixia Yang, Michael Y Tsai, Assiamira Ferrara and 1 more

Open access · goldAbstract read
In one paragraph

Article in PLoS medicine, 2019. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 41 papers, 4 of them syntheses that pooled it.

0numbers the graph read from it
0cells of the map it votes in
41citing papers in PubMed, 4 pooled it
13.5field-weighted citation impact, top 1% 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

41 citing papers in PubMed, 4 syntheses or guidelines pooled it, 82 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 7 institutions in 2 countries.

Yeyi ZhuDivision of Research, Kaiser Permanente Northern California, Oakland, California, United States of America.ORCID 0000-0002-7296-738X
Mengying LiDivision of Intramural Population Health Research, Eunice Kennedy Shriver National Institute of Child Health and Human Development, Bethesda, Maryland, United States of America.ORCID 0000-0002-3713-1683
Mohammad L RahmanDepartment of Population Medicine and Harvard Pilgrim Health Care Institute, Harvard Medical School, Boston, Massachusetts, United States of America.ORCID 0000-0001-8322-0495
Stefanie N HinkleDivision of Intramural Population Health Research, Eunice Kennedy Shriver National Institute of Child Health and Human Development, Bethesda, Maryland, United States of America.ORCID 0000-0003-4312-708X
Jing WuGlotech Inc., Bethesda, Maryland, United States of America.ORCID 0000-0002-9012-5426
Natalie L WeirDepartment of Laboratory Medicine and Pathology, University of Minnesota, Minneapolis, Minnesota, United States of America.
Yuan LinDepartment of Epidemiology, Richard M. Fairbanks School of Public Health, Indiana University, Indianapolis, Indiana, United States of America.
Huixia YangDepartment of Obstetrics and Gynecology, Peking University First Hospital, Beijing, China.
Michael Y TsaiDepartment of Laboratory Medicine and Pathology, University of Minnesota, Minneapolis, Minnesota, United States of America.
Assiamira FerraraDivision of Research, Kaiser Permanente Northern California, Oakland, California, United States of America.
Cuilin ZhangDivision of Intramural Population Health Research, Eunice Kennedy Shriver National Institute of Child Health and Human Development, Bethesda, Maryland, United States of America.ORCID 0000-0002-8014-2708
Eunice Kennedy Shriver National Institute of Child Health and Human Development · USKaiser Permanente · USUniversity of Minnesota · USGlotech (United States) · USHarvard University · USIndiana University – Purdue University Indianapolis · USPeking University · CN

Funding

UCSF/Kaiser-DOR Program for Developing Independent Women's Health ResearchersK12HD052163 · NICHD · UNIVERSITY OF CALIFORNIA, SAN FRANCISCO · PI ADLER, NANCY E, BRINDIS, CLAIRE D. · 2005 to 2023
$9.3M
Translational Research Core - Health Engagement & Action Translational (HEAT)P30DK092924 · NIDDK · KAISER FOUNDATION RESEARCH INSTITUTE · PI Alyce Sophia Adams, HILARY Kessler SELIGMAN · 2011 to 2026
$9.2M
Fetal Programming of Growth and Obesity: A Metabolomics ApproachK01DK120807 · NIDDK · KAISER FOUNDATION RESEARCH INSTITUTE · PI ZHU, YEYI · 2019 to 2022
$699k
NICHD NIH HHS HHSN275200800002CNICHD NIH HHS HHSN275200800002INICHD NIH HHS HHSN275200800003CNICHD NIH HHS HHSN275200800003INICHD NIH HHS HHSN275200800012CNICHD NIH HHS HHSN275200800013CNICHD NIH HHS HHSN275200800014CNICHD NIH HHS HHSN275200800028CNICHD NIH HHS HHSN275201000001GNICHD NIH HHS HHSN275201000001ZNICHD NIH HHS HHSN275201000009CNICHD NIH HHS K12 HD052163NIDDK NIH HHS K01 DK120807NIDDK NIH HHS P30 DK092924
6 · The paper itself

Abstract

backgroundDespite dietary recommendations of polyunsaturated fatty acids (PUFAs) for cardiometabolic health, n-3 and n-6 PUFAs and their interplay in relation to diabetes risk remain debated. Importantly, data among pregnant women are scarce. We investigated individual plasma phospholipid n-3 and n-6 PUFAs in early to midpregnancy in relation to subsequent risk of gestational diabetes mellitus (GDM). METHODS AND

findingsWithin the National Institute of Child Health and Human Development (NICHD) Fetal Growth Studies-Singleton Cohort (n = 2,802), individual plasma phospholipid n-3 and n-6 PUFAs levels were measured at gestational weeks (GWs) 10-14, 15-26, 23-31, and 33-39 among 107 GDM cases (ascertained on average at GW 27) and 214 non-GDM controls. Conditional logistic regression was used, adjusting for major risk factors for GDM. After adjusting for covariates, individual n-3 eicosapentaenoic acid (EPA), docosapentaenoic acid (DPA), and docosahexaenoic acid (DHA) were inversely correlated with insulin-resistance markers, whereas individual n-6 dihomo-gamma-linolenic acid (DGLA) was positively correlated with insulin-resistance markers. At GW 15-26, a standard deviation (SD) increase in total n-3 PUFAs and individual n-3 DPA was associated with a 36% (adjusted odds ratio 0.64; 95% CI 0.42-0.96; P = 0.042) and 33% (0.67; 95% CI 0.45-0.99; P = 0.047) lower risk of GDM, respectively; however, the significance did not persist after post hoc false-discovery rate (FDR) correction (FDR-corrected P values > 0.05). Associations between total n-6 PUFAs and GDM were null, whereas associations with individual n-6 PUFAs were differential. Per SD increase, gamma-linolenic acid (GLA) at GWs 10-14 and DGLA at GWs 10-14 and 15-26 were significantly associated with a 1.40- to 1.95-fold higher risk of GDM, whereas docosatetraenoic acid (DTA) at GW 15-26 was associated with a 45% (0.55; 95% CI 0.37-0.83) lower risk of GDM (all FDR-corrected P values < 0.05). Null associations were observed for linoleic acid (LA) in either gestational window in relation to risk of GDM. Women with high (≥median) n-3 PUFAs and low (<median) n-6 PUFAs levels had a 64% (95% CI 0.14-0.95; P value = 0.039) lower risk of GDM versus women with low n-3 and high n-6 PUFAs. Limitations include the inability to distinguish between exogenous and endogenous influences on circulating PUFA levels and the lack of causality inherent in observational studies.

conclusionsOur findings may suggest a potential role of primarily endogenously metabolized plasma phospholipid n-6 PUFAs including GLA, DGLA, and DTA in early to midpregnancy in the development of GDM. Null findings on primarily diet-derived n-3 EPA and DHA and n-6 LA do not provide strong evidence to suggest a beneficial role in prevention of GDM, although not excluding the potential benefit of EPA and DHA on glucose-insulin homeostasis given the inverse associations with insulin-resistance markers. Our findings highlight the importance of assessing individual circulating PUFAs to investigate their distinct pathophysiologic roles in glucose homeostasis in pregnancy.

Indexed as

Maternal Nutritional Physiological PhenomenaNutritional StatusAdolescentAdultBiomarkersBlood GlucoseCase-Control StudiesDiabetes, GestationalFatty Acids, Omega-3Fatty Acids, Omega-6FemaleGestational AgeHumansInsulinInsulin ResistanceLongitudinal StudiesBiomarkersBlood GlucoseFatty Acids, Omega-3Fatty Acids, Omega-6InsulinPhospholipids

Identifiers

PMID31518348
PMCPMC6743768
OpenAlexW2972623323

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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.