OSCR

Neuronal and glial networks interact with traumatic brain injury to modulate cognition in ABCD study.

Overview

Authors: Michael Cheng1,2, Melody Mao1, Wenjing Meng3, Joanna Jacobus4, Emily A Troyer4, Everett L Delfel5, Emily L Dennis6,7, Elisabeth A Wilde6,7, Tracy Abildskov6,7, Nicola L de Souza6, Florin Vaida3, Jeffrey E Max4, Xia Yang1,2,8,9,10,11,12
  1. Department of Integrative Biology & Physiology, University of California, Los Angeles, Los Angeles, CA USA
  2. Bioinformatics Interdepartmental Program, University of California, Los Angeles, Los Angeles, CA USA
  3. Division of Biostatistics, School of Public Health, University of California, San Diego, San Diego, CA USA
  4. Department of Psychiatry, University of California, San Diego, San Diego, CA USA
  5. Joint Doctoral Program in Clinical Psychology, San Diego State University / University of California, San Diego, San Diego, CA USA
  6. Department of Neurology, University of Utah School of Medicine, Salt Lake City, UT USA
  7. George E. Wahlen Veterans Affairs Medical Center, Salt Lake City, UT USA
  8. Molecular, Cellular and Integrative Physiology Interdepartmental Program, University of California, Los Angeles, Los Angeles, CA USA
  9. Molecular Biology Institute, University of California, Los Angeles, Los Angeles, CA USA
  10. Brain Research Institute, University of California, Los Angeles, Los Angeles, CA USA
  11. Institute for Quantitative and Computational Biosciences, University of California, Los Angeles, Los Angeles, CA USA
  12. Department of Molecular and Medical Pharmacology, University of California, Los Angeles, Los Angeles, CA USA
Journal: NPJ systems biology and applications, volume 12, issue 1, article 60
Dates: received 1 October 2025; accepted 25 February 2026; published online 13 March 2026
Type: Research article · Language: English
License: CC BY
Identifiers: DOI 10.1038/s41540-026-00681-8 · PMID 41826372 · PMCID PMC13128933 · OpenAlex W7135179930
Open access: gold, a free copy (OpenAlex)
Status: dead link
Categories: genetics / omics (modality), human (organism), traumatic brain injury (population)
Methods: Statistics, Smoothing, state filtering, decompositions, Machine learning, Connectivity
Keywords: Genetics, Neurology, Neuroscience
MeSH: Brain Injuries, Traumatic*, Cognition*, Neuroglia*, Neurons*, Brain, Gene Regulatory Networks, Genome-Wide Association Study, Humans, Male, Neurodevelopment (* major topic)
Topic: Traumatic Brain Injury Research (Epidemiology, Medicine), according to OpenAlex
Funding: NINDS NIH HHS (NS111378, R01 NS111378, R01 NS117148); NIDA NIH HHS (DA041089); NICHD NIH HHS (R01 HD105338); National Institute of Child Health and Human Development (HD111167)
Citations: not cited yet (Europe PMC); 101 references in the paper

Abstract

Mild traumatic brain injury (mTBI) disproportionately affects children and adolescents and has been associated with poorer neurocognitive performance, but the biological mechanisms driving symptom variability and severity remain understudied. In accordance with the omnigenic disease model, we integrated gene-by-mTBI interaction genome-wide association studies on neurocognition from the Adolescent Brain Cognitive Development (ABCD) cohort with single-cell RNA sequencing gene regulatory networks to elucidate the cell type-specific key regulators and molecular mechanisms governing neurocognitive outcome of mTBI, specifically learning and memory performance. Our analysis revealed distinct network regulators in neuronal and glial cell types across hippocampal and cortical brain regions to orchestrate key neurodevelopmental pathways. Examples include APP for synaptic signaling in excitatory neurons, COX5A for mitochondrial function in inhibitory neurons, MOG for myelination in oligodendrocytes in the hippocampus; GRM7 for synaptic signaling in excitatory neurons, SV2A for synaptic signaling in inhibitory neurons, and MOG for myelination in oligodendrocytes in the cortex. These mechanisms also associate with learning and memory through pathway-based polygenic risk score modeling in ABCD. Our findings provide brain region- and cell type-specific insights into the complex regulatory network landscape of mTBI pathology and potential therapeutic candidates at the pathway and network levels.

Reproduced under the paper's license (CC BY), from the paper cited above.

Code

No file of the authors' code could be read here: it is described below, and read at its source.

XiaYangLabOrg/ABCD_GWAS

License: none: the authors keep all their rights
State: the link is dead, verified on 30 September 2026
Evidence: found in the paper
Software Heritage: not archived
Found in: “Data availability”
Not found: README, license file, CITATION.cff, environment file, tests, continuous integration, documentation
Availability: 1 check, the latest on 30 September 2026: the link is dead
  • 30 September 2026: the link is dead

The paper's code and data availability statement is in the Data section.

Tracing map

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Its JSON (tracing-map.json) is deposited on Zenodo with its DOI once the map is validated.

Data

Datasets cited

Data availability

All data pertaining to ABCD is available through the National Institute of Mental Health Data Archive (NDA). The Gene Ontology biological pathways were downloaded from Molecular Signature Databases (https://www.gsea-msigdb.org/gsea/msigdb/human/collections.jsp#C5). The single-cell RNA-seq data were downloaded from Allen Brain Atlas (https://portal.brain-map.org/atlases-and-data/rnaseq). Data analysis scripts can be found in our GitHub repository https://github.com/XiaYangLabOrg/ABCD_GWAS or by contacting the lead author.

Reproduced under the paper's license (CC BY), from the paper cited above.

Versions

The history of this record: each version stored by the harvester or made by a correction of its authors or of the maintainers of its code, and what changed in its facts. The texts of the paper (its abstract, its availability statements) are not part of it; versions that changed only those are not listed.

Version 1, 30 September 2026: the first record

Recorded: type, language, journal, volume, issue, pages, dates, 13 authors, 3 keywords, 10 MeSH terms, 4 funders, 99 references.

Cite

This paper

Cheng, M., Mao, M., Meng, W., Jacobus, J., Troyer, E. A., Delfel, E. L., Dennis, E. L., Wilde, E. A., Abildskov, T., de Souza, N. L., Vaida, F., Max, J. E., & Yang, X. (2026). Neuronal and glial networks interact with traumatic brain injury to modulate cognition in ABCD study. NPJ systems biology and applications, 12(1), 60. https://doi.org/10.1038/s41540-026-00681-8

BibTeX

@article{cheng2026neuronal,
author = {Cheng, Michael and Mao, Melody and Meng, Wenjing and Jacobus, Joanna and Troyer, Emily A and Delfel, Everett L and Dennis, Emily L and Wilde, Elisabeth A and Abildskov, Tracy and de Souza, Nicola L and Vaida, Florin and Max, Jeffrey E and Yang, Xia},
title = {{Neuronal and glial networks interact with traumatic brain injury to modulate cognition in ABCD study}},
journal = {NPJ systems biology and applications},
year = {2026},
month = mar,
volume = {12},
number = {1},
pages = {60},
publisher = {Nature Publishing Group},
issn = {2056-7189},
doi = {10.1038/s41540-026-00681-8},
url = {https://doi.org/10.1038/s41540-026-00681-8},
pmid = {41826372},
pmcid = {PMC13128933}
}

RIS

TY - JOUR
AU - Cheng, Michael
AU - Mao, Melody
AU - Meng, Wenjing
AU - Jacobus, Joanna
AU - Troyer, Emily A
AU - Delfel, Everett L
AU - Dennis, Emily L
AU - Wilde, Elisabeth A
AU - Abildskov, Tracy
AU - de Souza, Nicola L
AU - Vaida, Florin
AU - Max, Jeffrey E
AU - Yang, Xia
TI - Neuronal and glial networks interact with traumatic brain injury to modulate cognition in ABCD study
T2 - NPJ systems biology and applications
J2 - NPJ Syst Biol Appl
PY - 2026
DA - 2026/03/13
VL - 12
IS - 1
SP - 60
SN - 2056-7189
PB - Nature Publishing Group
DO - 10.1038/s41540-026-00681-8
UR - https://doi.org/10.1038/s41540-026-00681-8
LA - en
ER -

CSL-JSON

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