Evidence map›Paper›PMID 39534431›Full record

ArticlePsych2024

Proteins in scalp hair of preschool children.

Cynthia R Rovnaghi, Kratika Singhal, Ryan D Leib, Maria Xenochristou, Nima Aghaeepour, Allis S Chien, Monica O Ruiz, Deendayal Dinakarpandian, Kanwaljeet J S Anand

Abstract read
In one paragraph

Article in Psych, 2024. 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

9 authors.

Cynthia R RovnaghiChild Wellness Lab, Maternal & Child Health Research Institute, Stanford University School of Medicine, Stanford, CA.
Kratika SinghalStanford University Mass Spectrometry (SUMS) Lab, Stanford University, Stanford, CA.
Ryan D LeibStanford University Mass Spectrometry (SUMS) Lab, Stanford University, Stanford, CA.
Maria XenochristouDepartments of Anesthesiology (Research), Biomedical Data Science & Pediatrics (Neonatology), Stanford University School of Medicine, Stanford, CA.
Nima AghaeepourDepartments of Anesthesiology (Research), Biomedical Data Science & Pediatrics (Neonatology), Stanford University School of Medicine, Stanford, CA.
Allis S ChienStanford University Mass Spectrometry (SUMS) Lab, Stanford University, Stanford, CA.
Monica O RuizDepartments of Pediatrics (Critical Care Medicine) and Anesthesiology (by courtesy), Stanford University School of Medicine, Stanford, CA.
Deendayal DinakarpandianDepartment of Medicine (Biomedical Informatics Research), Stanford University School of Medicine, Stanford, CA.
Kanwaljeet J S AnandChild Wellness Lab, Maternal & Child Health Research Institute, Stanford University School of Medicine, Stanford, CA.

Funding

Translational Oncology Research Program (Project-005)P30CA124435 · NCI · STANFORD UNIVERSITY · PI MICHAEL KENNEY · 2007 to 2026
$71.4M
Do Hair Cortisol and Hair Oxytocin represent the Stressful and Supportive Experiences of Preschool Children?R01HD099296 · NICHD · STANFORD UNIVERSITY · PI KANWALJEET S ANAND · 2019 to 2026
$5.8M
Machine Learning for Integrative Modeling of the Immune System in Clinical SettingsR35GM138353 · NIGMS · STANFORD UNIVERSITY · PI AGHAEEPOUR, NIMA · 2020 to 2024
$2.2M
NCI NIH HHS P30 CA124435NICHD NIH HHS R01 HD099296NIGMS NIH HHS R35 GM138353
6 · The paper itself

Abstract

Background: (1)Early childhood experiences have long-lasting effects on subsequent mental and physical health, education, and employment. Measurement of these effects relies on insensitive behavioral signs, subjective assessments by adult observers, neuroimaging or neurophysiological studies, or retrospective epidemiologic outcomes. Despite intensive search, the underlying mechanisms for these long-term changes in development and health status remain unknown. Methods: (2)We analyzed scalp hair from healthy children and their mothers using an unbiased proteomics platform using tandem mass spectrometry, ultra-performance liquid chromatography, and collision induced dissociation to reveal commonly observed hair proteins with spectral count of 3 or higher. Results: (3)We observed 1368 non-structural hair proteins in children, 1438 non-structural hair proteins in mothers, with 1288 proteins showing individual variability. Mothers showed higher numbers of peptide spectral matches and hair proteins compared to children, with important age-related differences between mothers and children. Age-related differences were also observed in children, with differential protein expression patterns between younger (2 years and below) and older children (3-5 years). We observed greater similarity in hair protein patterns between mothers and their biological children as compared to mothers and unrelated children. The top 5% proteins driving population variability represent biological pathways associated with brain development, immune signaling, and stress response regulation. Conclusion: (4)Non-structural proteins observed in scalp hair include promising biomarkers to investigate the long-term developmental changes and health status associated with early childhood experiences.

Indexed as

brain developmentdevelopmental psychologyhair biomarkersnon-structural proteinspreschool childrenproteomics

Identifiers

PMID39534431
PMCPMC11556458

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.