Evidence map›Paper›PMID 32919032›Full record

ArticleAnnals of epidemiology2021

The association between maternal lipid profile after birth and offspring risk of autism spectrum disorder.

Bo Y Park, Ruofan Yao, Elaine Tierney, Martha Brucato, Xiumei Hong, Guoying Wang, Yuelong Ji, Colleen Pearson, M Daniele Fallin, Xiaobin Wang and 1 more

Open access · greenAbstract read
PubMed Full text at PMC Publisher
In one paragraph

Article in Annals of epidemiology, 2021. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 10 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
10citing papers in PubMed, 1 pooled it
0.7field-weighted citation impact, top 24% 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

10 citing papers in PubMed, 1 synthesis or guideline pooled it, 13 citations in OpenAlex.

  1. Pooled it
  2. Review
  3. Article
  4. Metabolomic changes in children with autism.World journal of clinical pediatrics · 2024
    Article
  5. Article
  6. The Autism Spectrum Disorder and Its Possible Origins in Pregnancy.International journal of environmental research and public health · 2024
    Review
  7. Article
  8. Article
  9. Article
  10. Article
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 5 institutions in 1 country.

Bo Y ParkDepartment of Public Health, California State University Fullerton, Fullerton. Electronic address: bopark@fullerton.edu.
Ruofan YaoDepartment of Obstetrics and Gynecology, Loma Linda University School of Medicine, Loma Linda, CA.
Elaine TierneyDepartment of Psychiatry, Kennedy Krieger Institute, Baltimore, MD.
Martha BrucatoDepartment of Mental Health, Johns Hopkins Bloomberg School of Public Health, Baltimore, MD; The Wendy Klag Center for Autism and Developmental Disabilities, Johns Hopkins Bloomberg School of Public Health, Baltimore, MD.
Xiumei HongThe Center on the Early Life Origins of Disease, Department of Population, Family and Reproductive Health, Johns Hopkins Bloomberg School of Public Health, Baltimore, MD.
Guoying WangThe Center on the Early Life Origins of Disease, Department of Population, Family and Reproductive Health, Johns Hopkins Bloomberg School of Public Health, Baltimore, MD.
Yuelong JiThe Center on the Early Life Origins of Disease, Department of Population, Family and Reproductive Health, Johns Hopkins Bloomberg School of Public Health, Baltimore, MD.
Colleen PearsonDepartment of Pediatrics, Boston University School of Medicine, Boston, MA.
M Daniele FallinDepartment of Mental Health, Johns Hopkins Bloomberg School of Public Health, Baltimore, MD; The Wendy Klag Center for Autism and Developmental Disabilities, Johns Hopkins Bloomberg School of Public Health, Baltimore, MD.
Xiaobin WangThe Center on the Early Life Origins of Disease, Department of Population, Family and Reproductive Health, Johns Hopkins Bloomberg School of Public Health, Baltimore, MD; Department of Pediatrics, Johns Hopkins School of Medicine, Baltimore, MD.
Heather VolkDepartment of Mental Health, Johns Hopkins Bloomberg School of Public Health, Baltimore, MD; The Wendy Klag Center for Autism and Developmental Disabilities, Johns Hopkins Bloomberg School of Public Health, Baltimore, MD.
Johns Hopkins University · USBoston University · USCalifornia State University, Fullerton · USKennedy Krieger Institute · USLoma Linda University · US

Funding

Preterm Birth, Maternal and Cord Blood Metabolome, and Child Metabolic RiskR01HD041702 · NICHD · LURIE CHILDREN'S HOSPITAL OF CHICAGO · PI Frank B Hu, XIAOBIN WANG · 2001 to 2026
$11.1M
Early Life Determinants of Obesity in U.S. Urban Low Income Minority Birth CohortR01HD086013 · NICHD · JOHNS HOPKINS UNIVERSITY · PI LEE, BRUCE Y, WANG, XIAOBIN · 2016 to 2020
$3.3M
Inter-generational Link of Cardio-Metabolic Risk: Integrate Multi-OMICs with Birth CohortR01HD098232 · NICHD · JOHNS HOPKINS UNIVERSITY · PI LIANG, LIMING, WANG, XIAOBIN · 2019 to 2022
$2.7M
NICHD NIH HHS R01 HD041702NICHD NIH HHS R01 HD086013NICHD NIH HHS R01 HD098232
6 · The paper itself

Abstract

purposeMaternal obesity has been consistently associated with offspring risk for ASD, as well as lipid metabolism derangements. However, few ASD studies have examined maternal lipids in conjunction with maternal prepregnancy body mass index (BMI).

methodsThis nested case-control study was based on the Boston Birth Cohort, a prospective cohort study of mother-child dyads recruited at the Boston Medical Center. Maternal blood samples were collected shortly after delivery and analyzed for total plasma cholesterol, HDL, and triglyceride (TG) concentrations. Low-density lipoprotein (LDL) was subsequently calculated by the Friedewald equation. Cases were identified using ASD diagnoses in children's medical records. The odds of ASD were estimated with continuous lipid levels for a linear relationship, and we further explored the nonlinear relationship using the tertile of each lipid analyte with the highest tertile as the reference group. Logistic regression was used to estimate the risk of ASD adjusting for potential confounders. The analyses were performed separately for mothers with normal weight and overweight/obese based on maternal prepregnancy BMI.

resultsOne standard deviation decrease in postpartum maternal LDL was associated with increased odds of ASD aOR 1.35 [1.04-1.75]. There was no association between postpartum maternal HDL and TG levels and ASD risk. Decreasing levels of LDL were not associated with ASD risk in normal-weight mothers (aOR 1.2 [0.83-1.75]), but the ASD risk was more pronounced in overweight and obese mothers (aOR 1.54 [1.03-2.27]). Follow-up analysis of nonlinear association models showed that, when compared to the highest tertile, lower maternal LDL concentrations were associated with approximately two times increased risk of ASD (first tertile: aOR 2.49 [1.27-4.87] and second tertile: aOR 2.79 [1.42-5.48]). A similar pattern was observed with overweight/obese mothers but not in normal-weight mothers.

conclusionsLower maternal postpartum plasma LDL concentration was associated with increased odds of ASD in offspring among children born to overweight and obese mothers. Our findings suggest that both maternal BMI and lipids should be considered in assessing their role in offspring ASD risk, and additional longitudinal studies are needed to better understand maternal lipid dynamics during pregnancy among normal-weight and overweight/obese mothers.

Indexed as

Autism Spectrum DisorderLipidsMothersBostonCase-Control StudiesChildFemaleHumansMalePregnancyProspective StudiesRisk FactorsLipidsAutismLipidMaternal prepregnancy BMI

Identifiers

PMID32919032
PMCPMC7736082
OpenAlexW3084206919

What OpenQuestion holds

Textmetadata
LicenceTDM
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.