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Impact of Age and Training on Intestinal Heat Shock Protein Production

2006· article· en· W1970601911 on OpenAlexaff
Ingrid Brenner, Christianna C. Hamilton, Carolyn Kapron, Gary Burness

Bibliographic record

VenueMedicine & Science in Sports & Exercise · 2006
Typearticle
Languageen
FieldBiochemistry, Genetics and Molecular Biology
TopicHeat shock proteins research
Canadian institutionsTrent University
Fundersnot available
KeywordsHeat shock proteinHsp70MedicineTreadmillGastrointestinal tractPhysiologySmall intestineShock (circulatory)Heat shockInternal medicineBiologyBiochemistry

Abstract

fetched live from OpenAlex

Inducible heat-shock protein 70 (HSP72) has a protective role within cells that are exposed to physiological stressors. The mucosal epithelium of the intestine encounters a wide range of physiologic extremes (including pathogenic organisms) and is continually exposed to cellular stress. Limited research has been done to examine the impact of exercise training on HSP production in the gastrointestinal tract. Thus, it was of interest to investigate factors that can modulate HSP production in the intestine. PURPOSE: To examine the impact of age and physical training on HSP production in the small and large intestines of mice. METHODS: A total of 40 young (17 weeks) and old (31 weeks), female C57BL/6 mice were randomly assigned to one of two groups: a sedentary control group (S) or a training group (T). The training group underwent regular exercise on a motorized treadmill (5 days per week, 30 minutes per session at approximately 75% max) for 15 weeks. The sedentary control group maintained normal cage activity. Prior to euthanization, each group of mice were further sub-divided into either a resting control group (Con) or a group that underwent a 90 min bout of exhaustive, treadmill exercise (Exh). Mice of the exhaustive exercise (Exh) group were sacrificed 2 hours following exercise, whereas the control mice were sacrificed at the same time of day. Blood samples were obtained by cardiac puncture and the gastrointestinal tract was removed for further processing. Total HSP72 expression in segments of the small and large intestine was quantified using ELIS A techniques and HSP distribution was assessed by immunohisto chemistry. RESULTS: Training induced a significant (p <0.001) reduction in basal intestinal HSP72 concentration in segments of both the small and large intestines. Values, expressed relative to total protein, for the small intestine were [mean ± SE]: YSCon = 2.6 ± 0.5 pg/ug vs YTCon = 1.8 ± 0.2 pg/ug; OSCon = 2.4 ± 0.4 pg/ug vs OTCon = 1.1 ±0.3 pg/ug and for the large intestine: YSCon = 3.3 ± 0.6 pg/ug vs YTCon = 2.9 ± 0.2 pg/ug; OSCon = 5.4 ±0.5 pg/ug vs OTCon = 2.7 ± 0.4 pg/ug. Exhaustive exercise increased HSP70 expression in the large intestines of the sedentary and trained, young mice. Whereas, only the trained, older mice were able to increase HSP production in the small intestine in response to the exhaustive exercise bout. CONCLUSIONS: The differential response of the intestinal segments of the older animal may provide insight into the possible mechanisms contributing towards the increased incidence and progression of various enteropathies seen with senescence. Further research is required to investigate the training-induced reduction in resting concentrations of HSP.

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)0.0000.000
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)0.0020.000

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 head0.021
GPT teacher head0.320
Teacher spread0.298 · 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".

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Citations0
Published2006
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