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Record W4417274968 · doi:10.1177/08977151251400737

Differential DNA Methylation of the Brain-Derived Neurotrophic Factor Gene is Observed after Pediatric Traumatic Brain Injury Compared with Orthopedic Injury

2025· article· en· W4417274968 on OpenAlexaff
Lacey W. Heinsberg, Aboli Kesbhat, Bailey A. Petersen, Lauren Kaseman, Zachary Stec, Nivinthiga Anton, Patrick M. Kochanek, Keith Owen Yeates, Daniel E. Weeks, Yvette P. Conley, Amery Treble‐Barna

Bibliographic record

VenueJournal of Neurotrauma · 2025
Typearticle
Languageen
FieldBiochemistry, Genetics and Molecular Biology
TopicCancer-related gene regulation
Canadian institutionsUniversity of Calgary
FundersNational Institute of Neurological Disorders and Stroke
KeywordsTraumatic brain injuryBiomarkerdNaMGlasgow Coma ScaleEpigeneticsDNA methylationCohortInjury Severity ScoreConcussion

Abstract

fetched live from OpenAlex

Pediatric traumatic brain injury (TBI) triggers biological changes that may differ from those observed in non-brain injuries. Brain-derived neurotrophic factor ( BDNF ) DNA methylation (DNAm) may serve as a novel, dynamic biomarker of the brain’s response and help identify TBI-specific epigenetic patterns relevant to later recovery. Therefore, the purpose of this study was to examine whether BDNF DNAm differed between children with TBI and those with orthopedic injury (OI, comparison group) acutely and over time. Data were derived from the Epigenetic Effects on TBI Recovery study, a prospective, longitudinal cohort study conducted at UPMC Children’s Hospital of Pittsburgh. Children aged 3–18 years hospitalized at a minimum of overnight for complicated mild-to-severe TBI or OI without head trauma were enrolled. Exclusion criteria included prior hospitalization for TBI, pre-existing neurological or psychiatric conditions, or sensory or motor impairments precluding study participation. Blood samples were collected during hospitalization (mean = 31.6 h post-injury) and at 6 (mean = 216.9 days) and 12 months (mean = 405.9 days) post-injury. The primary outcome variable was DNAm assessed via pyrosequencing at five quality-controlled CpG sites in the BDNF gene (chromosome 11, Genome Reference Consortium Human Build 38 positions 27722033, 27722036, 27722047, 27701612, and 27701614). The primary exposure was injury type (TBI vs. OI), with severity (measured via Glasgow Coma Scale [GCS]) examined as a secondary exposure within the TBI group. Primary covariates included age, sex, and race; secondary covariates included pubertal status, age-adjusted body mass index, non-head injury severity, socioeconomic status, and psychosocial adversity. The final analysis sample included n = 189 participants with TBI and n = 105 participants with OI. Participants were 66.3% male, 83.2% White, and had a mean age of 10.6 (±4.3) years at the time of enrollment. Acutely, children with TBI showed significantly lower DNAm at three of five sites (3.17–5.83% lower; p = 0.0044 to 6.48E-06) while controlling for age, sex, and race. One site remained significantly lower at 12 months (8.56% lower; p = 0.0045); no significant differences were observed at 6 months. Observed differences remained robust across sensitivity models adjusting for secondary covariates. GCS-measured TBI severity was not associated with DNAm at any time point. These findings suggest that BDNF DNAm differs between children with TBI and those with OI, particularly in the acute period. BDNF DNAm differences may reflect early biological responses that are specific to TBI.

Fetched live from OpenAlex and de-inverted. Abstracts are not stored in this database: the inverted indexes are 8.6 GB of the frame’s 9.3 GB of text, and the host has 13 GB free.

How this classification was reachedexpand

Full frame distilled prediction

Teacher imitation

Not calibrated prevalence, not ground truth. Human validation pending. Learned from the 10,348 direct Codex labels and 10,348 direct Gemma labels. Candidate is the union of thresholded teacher heads; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels or direct frontier model labels.

metaresearch head score (Codex)0.000
metaresearch head score (Gemma)0.000
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Bench or experimental · Consensus signal: none
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.592
Threshold uncertainty score0.733

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0000.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.000
Science and technology studies0.0000.000
Scholarly communication0.0000.000
Open science0.0000.000
Research integrity0.0000.000
Insufficient payload (model declined to judge)0.0000.000

Machine scores (provisional)

The two teacher heads of the student model, read on this work. A score orders the frame for review; it never asserts a category, and the validation status ships verbatim with every row.

Baseline scores from an immature model (maturity gate not passed, 7 training rounds). Scores rank; they never assert a category.

Opus teacher head0.030
GPT teacher head0.282
Teacher spread0.252 · how far apart the two teachers sit on this one work
Validation statusscore_only:v0-immature-baseline · verbatim from the scoring run: score_only means the number may rank works, and no category label ships from it

Classification

machine, unvalidated

Machine predicted; a candidate call from one teacher head, not a consensus.

The models applied no category: nothing in the taxonomy fit this work.
Study designBench or experimental
Domainnot available
GenreEmpirical

How this classification was reached, model by model and score by score, is at the end of the page under "How this classification was reached".

Quick stats

Citations1
Published2025
Admission routes1
Has abstractyes

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