Evidence map›Paper›PMID 36395973›Full record

ArticleNeurotoxicology and teratology

Associations between prenatal and postnatal substance exposure and salivary C-reactive protein in early childhood.

Shauna G Simon, Rina D Eiden, Danielle S Molnar, Marilyn A Huestis, Jenna L Riis

Open access · greenAbstract read
In one paragraph

Article in Neurotoxicology and teratology. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 2 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
2citing papers in PubMed, 1 pooled it
1.1field-weighted citation impact, top 19% 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

2 citing papers in PubMed, 1 synthesis or guideline pooled it, 3 citations in OpenAlex.

  1. Pooled it
  2. Review
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

5 authors at 4 institutions in 2 countries.

Shauna G SimonDepartment of Psychological Science, School of Social Ecology, University of California Irvine, Irvine, CA, USA. Electronic address: sgsimon@uci.edu.
Rina D EidenDepartment of Psychology & Consortium for Combating Substance Abuse, The Pennsylvania State University, University Park, PA, USA.
Danielle S MolnarDepartment of Child and Youth Studies, Brock University, St. Catharines, ON, Canada.
Marilyn A HuestisInstitute of Emerging Health Professions, Thomas Jefferson University, Philadelphia, PA, USA.
Jenna L RiisDepartment of Psychological Science, School of Social Ecology, University of California Irvine, Irvine, CA, USA; Institute for Interdisciplinary Salivary Bioscience Research, University of California at Irvine, Irvine, CA, USA.
University of California, Irvine · USBrock University · CAPennsylvania State University · USThomas Jefferson University · US

Funding

Prenatal & ETS Exposure: Effects on Child RegulationR01DA019632 · NIDA · STATE UNIVERSITY OF NEW YORK AT BUFFALO · PI EIDEN, RINA D · 2006 to 2016
$5.8M
Prenatal Tobacco and Cannabis Exposure: A Translational StudyR21DA045640 · NIDA · STATE UNIVERSITY OF NEW YORK AT BUFFALO · PI EIDEN, RINA D, THANOS, PANAYOTIS K · 2018 to 2019
$434k
NIDA NIH HHS R01 DA019632NIDA NIH HHS R21 DA045640
6 · The paper itself

Abstract

backgroundExposure to tobacco and cannabis during developmental periods of enhanced vulnerability (e.g., in utero and early childhood) may have long-lasting effects on child health. One potential mechanism underlying these associations is the alteration of inflammatory pathways. Using data from a longitudinal study of mother/child dyads, we examined the adjusted and combined associations of prenatal and postnatal tobacco and cannabis exposure with inflammation in early childhood. Furthermore, we explored the relations between different measures of exposure, partly reflecting differences in timing, dose, and level of fetal exposure (e.g., self-report vs. biomarker), and inflammation. Finally, we explored child sex as a moderator of prenatal and postnatal tobacco and cannabis exposure and inflammation.

methodWomen were recruited from a local hospital during their first prenatal appointment. Repeated assessments were conducted at each trimester, at birth, and when children were 2, 9, 16, 24, 36, and 60 months old (N = 215; 112 female children). To evaluate associations with different measurement approaches, prenatal tobacco and cannabis exposure were assessed using: 1) continuous dose-response variables of maternal self-reported tobacco and cannabis use during each trimester to assess associations with timing and severity of exposure, 2) categorization of children into exposure groups based on drugs and metabolites present in infant meconium reflecting later pregnancy fetal exposure, and 3) categorization into exposure groups using a combination of maternal self-report data and biomarker data derived from maternal saliva samples and infant meconium taking advantage of multiple methods of assessment to examine group differences. Postnatal exposure to tobacco (assessed using child salivary cotinine) and cannabis (assessed using maternal self-reported average joints smoked per day) was measured at each infancy/early childhood assessment. Adjusted pre- and postnatal exposure associations with child inflammation were assessed by including both measures as predictor variables in linear regression models predicting child salivary C-reactive protein (CRP) concentrations at 60 months. Interactions between pre- and postnatal exposure variables were then modeled to investigate the combined relations between pre- and postnatal substance exposure with child salivary CRP concentrations at 60 months.

resultsAdjusting for postnatal exposure variables, there was a significant interaction between the average daily cigarettes and the average daily cannabis joints smoked during the third trimester predicting salivary CRP concentrations in early childhood. At high tobacco exposure, the effect of cannabis on CRP concentrations was negligible, whereas at low tobacco exposure, the effect of cannabis exposure on CRP concentrations was positive. Adjusting for postnatal tobacco and cannabis exposure, children for whom meconium data indicated co-exposure to tobacco and cannabis showed approximately 43% lower CRP concentrations at age 60 months compared to children with no exposure. However, when mother/child dyads were categorized based on a combination of maternal self-report data and biomarker data from saliva samples and infant meconium, there were no differences in salivary CRP concentrations at age 60 months across the three groups (no prenatal exposure, prenatal tobacco exposure only, prenatal co-exposure to tobacco and cannabis), controlling for postnatal associations. Regardless of the measurement method used to assess prenatal exposures in adjusted analyses, prenatal tobacco exposure alone did not predict CRP concentrations in early childhood, nor did postnatal tobacco exposure. Among boys, postnatal cannabis exposure was associated with higher concentrations of CRP at age 60 months, controlling for prenatal exposure relations. There were no significant combined associations of pre- and postnatal exposure with CRP concentrations.

conclusionThis study expands upon known relations between prenatal and postnatal substance exposure and immunological outcomes in early childhood, underscoring the importance of assessing cannabis exposure during gestation and early life in combination with tobacco exposure.

Indexed as

CannabisPrenatal Exposure Delayed EffectsBiomarkersChild, PreschoolC-Reactive ProteinFemaleHumansInfantInfant, NewbornInflammationLongitudinal StudiesMalePregnancyReceptors, ImmunologicTobacco Smoke PollutionBiomarkersC-Reactive ProteinCRP protein, humanReceptors, ImmunologicTobacco Smoke PollutionCannabisC-reactive proteinInflammationPrenatal co-exposureTobacco

Identifiers

PMID36395973
PMCPMC10644259
OpenAlexW4308978048

What OpenQuestion holds

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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.