Evidence map›Paper›PMID 38663776›Full record

ArticleBrain, behavior, and immunity2024

Early life adversity is associated with differential gene expression in immune cells: A cluster-based analysis across an acute psychosocial stressor.

Laura Etzel, Abner T Apsley, Waylon J Hastings, Qiaofeng Ye, Idan Shalev

Open access · greenAbstract read
In one paragraph

Article in Brain, behavior, and immunity, 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 7 papers.

0numbers the graph read from it
0cells of the map it votes in
7citing papers in PubMed
2.6field-weighted citation impact, top 10% 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

7 citing papers in PubMed, 9 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

5 authors at 2 institutions in 1 country.

Laura EtzelDepartment of Biobehavioral Health, The Pennsylvania State University, University Park, PA, USA.
Abner T ApsleyDepartment of Biobehavioral Health, The Pennsylvania State University, University Park, PA, USA.
Waylon J HastingsDepartment of Biobehavioral Health, The Pennsylvania State University, University Park, PA, USA; Department of Psychiatry and Behavioral Science, Tulane University School of Medicine, New Orleans, LA, USA.
Qiaofeng YeDepartment of Biobehavioral Health, The Pennsylvania State University, University Park, PA, USA.
Idan ShalevDepartment of Biobehavioral Health, The Pennsylvania State University, University Park, PA, USA. Electronic address: ius14@psu.edu.
Pennsylvania State University · USTulane University · US

Funding

Psychosocial Determinants and Biological Pathway to Healthy Aging (Pathways)T32AG049676 · NIA · PENNSYLVANIA STATE UNIVERSITY, THE · PI LYNN M. MARTIRE · 2016 to 2026
$3.9M
Early Life Experience and Childhood Telomere Biology: A Longitudinal Study of Developmental Context and Behavioral MediatorsR01NR019610 · NINR · DUKE UNIVERSITY · PI GARRETT-PETERS, PATRICIA, SHALEV, IDAN · 2021 to 2025
$2.7M
Temporal Genomics Mechanisms Underlying Disease and AgingR21AG055621 · NIA · PENNSYLVANIA STATE UNIVERSITY, THE · PI SHALEV, IDAN · 2018 to 2019
$436k
NIA NIH HHS R21 AG055621NIA NIH HHS T32 AG049676NINR NIH HHS R01 NR019610
6 · The paper itself

Abstract

Elucidating mechanisms by which early-life adversity (ELA) contributes to increased disease risk is important for mitigating adverse health outcomes. Prior work has found differences in immune cell gene expression related to inflammation and mitochondrial activity. Using a within-person between-group experimental design, we investigated differences in gene expression clusters across acute psychosocial stress and no-stress conditions. Participants were young adults (N = 29, aged 18 - 25 years, 62 % female, 47 % with a history of ELA). Gene expression was assessed in peripheral blood mononuclear cells collected at 8 blood draws spanning two 5-hour sessions (stress vs. no-stress) separated by a week, 4 across each session (number of observations = 221). We applied two unsupervised gene clustering methods - latent profile analysis (LPA) and weighted gene co-expression analysis (WGCNA) - to cluster genes with similar expression patterns across participants. LPA identified 11 clusters, 7 of which were significantly associated with ELA-status. WGCNA identified 5 clusters, 3 of which were significantly associated with ELA-status. LPA- and WGCNA-identified clusters were correlated, and all clusters were highly preserved across sessions and time. There was no significant effect of acute stress on cluster gene expression, but there was a significant effect of time, and significant differences by ELA-status. ELA-associated clusters related to RNA splicing/processing, inflammation, leukocyte differentiation and division, and mitochondrial activity were differentially expressed across time: ELA-exposed individuals showed decreased expression of these clusters at 90-minutes while controls showed increased expression. Our findings replicate previous work in this area and highlight additional mechanisms by which ELA may contribute to disease risk.

Indexed as

Adverse Childhood ExperiencesLeukocytes, MononuclearStress, PsychologicalAdolescentAdultCluster AnalysisFemaleGene ExpressionHumansInflammationMaleTranscriptomeYoung AdultConserved Transcriptional Response to AdversityEarly life adversityGene ExpressionImmune CellsLatent Profile AnalysisTrier Social Stress TestWeighted Gene Coexpression Analysis

Identifiers

PMID38663776
PMCPMC11190835
OpenAlexW4395053264

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.