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Record W2144967252 · doi:10.2174/156652408784533760

Pathophysiological Mechanisms of Stress-Induced Intestina Damage

2008· review· en· W2144967252 on OpenAlexaff
Mélanie G. Gareau, Manuel Silva, Mary H. Perdue

Bibliographic record

VenueCurrent Molecular Medicine · 2008
Typereview
Languageen
FieldBiochemistry, Genetics and Molecular Biology
TopicGut microbiota and health
Canadian institutionsMcMaster University
Fundersnot available
KeywordsPathophysiologyIrritable bowel syndromeMedicineInflammationChronic stressTranscellularStressorInflammatory bowel diseaseParacellular transportDiseaseIntestinal permeabilityImmunologyPhysiologyInternal medicineBiologyCell biologyPermeability (electromagnetism)

Abstract

fetched live from OpenAlex

Stress has been shown to have both central and peripheral effects, promoting psychological illness (such as anxiety and depression), as well influencing peripheral disease in the intestine. Stress in humans can exacerbate symptoms of irritable bowel syndrome (IBS) and inflammatory bowel disease (IBD), lowering visceral pain thresholds and decreasing mucosal barrier function. Studies in rodents have revealed that both acute and chronic exposure to stressors can lead to pathophysiology of the small and large intestine, including altered ion secretion and increased epithelial permeability (by both transcellular and paracellular pathways). Prolonged exposure to stress can induce low-grade inflammation, cause ultrastructural epithelial abnormalities, and alter bacterial-host interactions allowing greater microbial translocation. In this review, we discuss the stress response and the effects of both acute and chronic stress to induce pathophysiological damage to the gut. We present the potential pathways involved, and the proposed mechanisms of action mediating the effects. Furthermore, we explore the impact of early life stress on colonic physiology in neonatal rodents and the implications for gut dysfunction in adulthood.

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: Not applicable · Consensus signal: none
GenreCandidate signal: Review · Consensus signal: Review
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)0.0010.000
Bibliometrics0.0010.001
Science and technology studies0.0000.000
Scholarly communication0.0010.001
Open science0.0010.000
Research integrity0.0010.001
Insufficient payload (model declined to judge)0.0020.001

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 head0.060
GPT teacher head0.369
Teacher spread0.309 · 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 designNot applicable
Domainnot available
GenreReview

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

Citations266
Published2008
Admission routes1
Has abstractyes

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