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Record W7117148432 · doi:10.1002/alz70855_102228

<i>Childhood trauma and anatomopathological changes</i> .

2025· article· en· W7117148432 on OpenAlexaff
Salma Rose Imanari Ribeiz, Leonardo Baracat Caria, Wanessa Santos, Carlos Augusto Pasqualucci, Ricardo Nitrini, Eduardo Ferrioli, Lea T. Grinberg, Renata Elaine Paraízo Leite, Paula Villela Nunes, Camila Nascimento Mantelli, Cláudia Kimie Suemoto

Bibliographic record

VenueAlzheimer s & Dementia · 2025
Typearticle
Languageen
FieldNeuroscience
TopicStress Responses and Cortisol
Canadian institutionsUniversity of British Columbia
Fundersnot available
KeywordsNeuropathologyDiseasePoison controlEpidemiologySample (material)Injury prevention

Abstract

fetched live from OpenAlex

Relationship between childhood trauma and Alzheimer´s disease pathological changes in a psychiatric sample. BACKGROUND: The stress resulting from traumatic events throughout life is often associated with an increased risk of developing mental disorders. The damaging effects of childhood trauma are widely presented in specific psychiatric conditions. Some studies suggest the potential occurrence of neurocognitive deficits in individuals exposed to adverse childhood experiences. To our knowledge there are no studies investigating neuropathological changes in individuals exposed to early trauma. This is an original study that aims to assess the possible association between the occurrence of childhood trauma and the development of Alzheimer´s disease anatomopathological (AP) changes. METHODS: We included 68 participants of this study from Biobank for Aging Studies of the University of Sao Paulo (BAS-USP). Subjects were previously diagnosed with a psychiatric disorder using Structured Clinical Interview for DSM-IV Disorders (SCID) for Axis I, informant part. Childhood trauma was assessed with the Childhood Trauma Questionnaire (CTQ). AD-type neuropathology was evaluated using the Consortium to Establish a Registry for AD (CERAD) criteria for neuritic plaque burden, and the Braak and Braak staging for neurofibrillary tangle pathology. The cohort was dichotomized into 2 groups: Braak stage 0 vs. Braak stage >0 and CERAD stage 0 vs.CERAD >0. Demographic and clinical characteristics were compared between groups using the Student's t-test, Mann-Whitney U test, chi-square test, or Fisher's exact test. To investigate the association of childhood trauma (measured by the total score of CTQ) with AP neuropathology, we employed multivariable ordinal logistic regression models for both Braak and CERAD stages, adjusted for age, sex, education, and race. RESULTS: Demographic analysis (Table 1) showed that younger age was associated with Braak=0 (p <0.001) and CERAD=0 (p <0.001). Braak=0 was also associated with a higher level of education (p = 0.025). The CTQ score did not show a significant effect on Braak and CERAD scores (Tables 2 and 3, respectively). CONCLUSION: Our preliminary data does not support a relationship between AD-related pathology and childhood trauma in a psychiatric sample. Subsequent studies with greater sample size are encouraged to better investigate whether there is a link between AD-type neuropathology and childhood traumatic experiences.

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)0.002
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: Observational
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.005
Threshold uncertainty score0.013

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0000.002
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0010.001
Science and technology studies0.0000.000
Scholarly communication0.0000.000
Open science0.0000.000
Research integrity0.0000.000
Insufficient payload (model declined to judge)0.0040.000

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 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

Citations0
Published2025
Admission routes1
Has abstractyes

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