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Record W4402945736 · doi:10.1016/j.bbi.2024.09.030

Pathophysiology, blood biomarkers, and functional deficits after intimate partner violence-related brain injury: Insights from emergency department patients and a new rat model

2024· article· en· W4402945736 on OpenAlexafffund
Mujun Sun, Georgia F. Symons, Gershon Spitz, William T. O’Brien, Tamara L. Baker, Jianjia Fan, Beatriz Martins, Josh Allen, Lauren P. Giesler, Richelle Mychasiuk, Paul van Donkelaar, Justin Brand, Brian R. Christie, Terence J. O’Brien, Michael O’Sullivan, Biswadev Mitra, Cheryl L. Wellington, Stuart J. McDonald, Sandy R. Shultz

Bibliographic record

VenueBrain Behavior and Immunity · 2024
Typearticle
Languageen
FieldMedicine
TopicTraumatic Brain Injury Research
Canadian institutionsUniversity of VictoriaUniversity of British Columbia, Okanagan CampusUniversity of British ColumbiaVancouver Island University
FundersNational Health and Medical Research CouncilMichael Smith Health Research BCScoliosis Research Society
KeywordsPathophysiologyEmergency departmentMedicineTraumatic brain injuryNeuroscienceMedical emergencyEmergency medicinePsychologyInternal medicinePsychiatry

Abstract

fetched live from OpenAlex

• Brain injury in intimate partner violence (IPV) involves concussion and/or strangulation. • Acute IPV patients with concussion had worse brain injury biomarkers and symptoms. • We also developed the first rat model of strangulation. • Strangulation modified concussion pathophysiology, biomarkers, and deficits in rats. • These results provide novel insights into a common but understudied problem. Intimate partner violence is a serious, but underappreciated, issue that predominantly affects women and often results in concussion (i.e., mild traumatic brain injury). However, concussion in intimate partner violence is unique because it often involves a concomitant strangulation which may exacerbate or alter the physiology and clinical presentation of the brain injury. Therefore, here we conducted human and rodent studies to provide insight into knowledge gaps related to the detection, pathophysiology, and functional consequences of intimate partner violence-related brain injury. We conducted the first study to analyze blood biomarkers and symptoms of brain injury in intimate partner violence patients presenting to an emergency department within 72 h of concussion. Intimate partner violence concussion patients, some of whom had also experienced a concomitant strangulation, had elevated serum neurofilament light and worse brain injury symptoms compared to healthy control, orthopedic trauma, and non-intimate partner violence concussion groups. We also developed the first rat model of non-fatal strangulation and examined the consequences of strangulation and concussion in isolation and in combination on pathophysiology, blood biomarkers, and behavior at 2 h and 1wk post-injury. Rats exposed to combined strangulation and concussion had exacerbated motor and cognitive deficits, neuroinflammation, and serum glial fibrillary acidic protein levels compared with either injury in isolation. Taken together, these rodent findings demonstrate that a concomitant strangulation modifies and exacerbates concussion pathophysiology, biomarkers, and functional consequences. Overall, these findings provide novel insights into intimate partner violence-related brain injury and provides a foundation for future translational studies.

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 machine prediction

Teacher imitation

Not calibrated prevalence, not ground truth. Human validation pending. The Gemma side is a direct model label for every work in the frame, read from the title-only record. The Codex side is a classifier learned from the 10,348 direct Codex labels and calibrated to design-weighted sample rates; fields without enough sample support carry no Codex call. Candidate is the union of the two sides; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels.

metaresearch head score (Codex)0.000
metaresearch head score (Gemma)0.000
Version: metacan-v3-hybrid-931329e0061cValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Observational · Consensus signal: none
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.002
Threshold uncertainty score0.006

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0000.000
Meta-epidemiology (narrow)0.0010.000
Meta-epidemiology (broad)0.0010.001
Bibliometrics0.0010.000
Science and technology studies0.0000.001
Scholarly communication0.0000.001
Open science0.0000.001
Research integrity0.0010.001
Insufficient payload (model declined to judge)0.0020.000

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 head0.039
GPT teacher head0.311
Teacher spread0.272 · 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 source (direct Gemma or distilled Codex), not a consensus.

The models applied no category: nothing in the taxonomy fit this work.
Study designObservational
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

Citations18
Published2024
Admission routes2
Has abstractyes

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