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Record W4295928822 · doi:10.3899/jrheum.220788

How Could Physical Activity Reduce Inflammation and Inflammatory Gene Expression in Rheumatoid Arthritis?

2022· letter· en· W4295928822 on OpenAlexvenueno aff
Patrick H Dessein, Anne E Stanwix, Ahmed Solomon

Bibliographic record

VenueThe Journal of Rheumatology · 2022
Typeletter
Languageen
FieldMedicine
TopicExercise and Physiological Responses
Canadian institutionsnot available
Fundersnot available
KeywordsMedicineEndocrinologyInternal medicineInflammationHomeostasisAdipose tissueAldosteroneRheumatoid arthritisHormoneCytokine

Abstract

fetched live from OpenAlex

Exposure to adverse life events and acute physical injury such as that caused by trauma or infection trigger activation of the sympathetic nervous system (SNS) in response to direct signaling from the brain.1-3 This instantly results in enhanced production of adrenaline and noradrenaline by the adrenal glands. Within minutes, the hypothalamic-pituitary-adrenal (HPA) axis is stimulated, leading to increased adrenal gland cortisol secretion. The SNS and HPA axis comprise the main components of the stress system. Stress system activation also involves reduced growth hormone, insulin-like growth factor-1 (IGF-1), androgen and thyroid hormone production, decreased vagal nerve activity, and increased renin-angiotensin-aldosterone system (RAAS) activation. The purpose of these neuroendocrine changes is to orchestrate the release of energy from its stores including the liver, adipose tissue, and muscle in the form of glucose, free fatty acids, and amino acids, and provide it to the activated immune system. This engenders an adequate inflammatory response and its subsequent resolution to reestablish homeostasis. Rheumatoid arthritis (RA) is a prototypic chronic inflammatory disease. Whereas the stress system is also activated in response to RA activity, it does not succeed in resolving the inflammatory process and is therefore unable to restore homeostasis.4 Even though cortisol levels are normal or slightly elevated in patients with RA who have not been treated with exogenous glucocorticoids (GCs), these levels appear to be too low to fully suppress the inflammatory process. This low GC level is thought to be due to cytokine-mediated desensitization of the HPA axis in RA. Additionally, some patients with RA experience GC resistance that may, at least in part, be genetically mediated. This seemingly inadequate cortisol response to RA-induced chronic inflammation may, however, serve to protect patients against persistent hypercortisolemia-induced sepsis. Still, HPA axis sensitivity to stressors other than inflammation, such as hypoglycemia stress, … Address correspondence to Dr. P.H. Dessein, Departments of Medicine and Physiology, University of the Witwatersrand Medical School, 7 York Road, Parktown, 2193, Johannesburg, South Africa. Email: patrick.dessein22{at}gmail.com.

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)0.001
metaresearch head score (Gemma)0.001
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesResearch integrity
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Not applicable · Consensus signal: none
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.310
Threshold uncertainty score0.999

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0010.001
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0010.000
Bibliometrics0.0000.000
Science and technology studies0.0000.000
Scholarly communication0.0000.000
Open science0.0000.000
Research integrity0.0000.003
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 head0.021
GPT teacher head0.277
Teacher spread0.256 · 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.

Study designNot applicable
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

Citations6
Published2022
Admission routes1
Has abstractyes

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