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Record W4398223232 · doi:10.1113/jp286228

Direct assessment of leukocyte signalling and cytokine secretion reveals exercise intensity‐dependent reductions in anti‐inflammatory cytokine action

2024· article· en· W4398223232 on OpenAlexafffund
Hashim Islam, Shun‐Hsi Tsai, Caíque Figueiredo, Garett S. Jackson, Alexis Marcotte‐Chénard, Johannes Bosak, Alfonso Moreno‐Cabañas, Fábio Santos Lira, Jonathan P. Little

Bibliographic record

VenueThe Journal of Physiology · 2024
Typearticle
Languageen
FieldMedicine
TopicExercise and Physiological Responses
Canadian institutionsOkanagan University CollegeUniversity of British Columbia, Okanagan CampusUniversity of British Columbia
FundersNatural Sciences and Engineering Research Council of Canada
KeywordsCytokineInternal medicineEndocrinologyTumor necrosis factor alphaMedicineImmune systemMonocyteCTL*Immunology

Abstract

fetched live from OpenAlex

Abstract Circulating interleukin (IL)‐6 and IL‐10 concentrations are widely used to evaluate the anti‐inflammatory effects of exercise but do not capture cytokine action at the cellular level. Whether and how acute exercise impacts anti‐inflammatory cytokine action in humans is unknown. To determine how exercise intensity and pattern impact IL‐6 and IL‐10 action in blood leukocytes, 16 active adults (eight males/eight females; age: 30 ± 3 years; body mass index: 22.8 ± 2.3 kg/m 2 ; : 51 ± 6 mL/kg/min) completed a no‐exercise control condition (CTL) or isocaloric bouts of cycling performed below (moderate continuous exercise; MCE) or above (heavy continuous or heavy intermittent exercise; HCE or HIE, respectively) lactate threshold. Venous blood (before, after, 30 min after and 90 min after exercise) was analysed for immune cell subpopulations, plasma cytokine concentrations, anti‐inflammatory cytokine action and monocyte phenotype. Exercise induced rapid leukocytosis ( P < 0.001) and increased plasma IL‐6 ( P < 0.001), IL‐10 ( P = 0.0145) and tumour necrosis factor‐⍺ (TNF‐⍺) ( P = 0.0338) concentrations in an intensity‐dependent manner (HCE and/or HIE vs . CTL). These systemic changes coincided with a diminished ability of IL‐10/6 to phosphorylate STAT3 ( P < 0.001) and inhibit TNF‐⍺ secretion ( P = 0.0238) in blood leukocytes following HCE and HIE. Monocyte polarization experiments revealed lower CD80 [MCE ( P = 0.0933) and HIE ( P = 0.0187) vs . CTL] and a tendency for higher CD163 expression (HCE vs . CTL, P = 0.0985), suggesting that hyporesponsiveness to anti‐inflammatory cytokine action does not impede the ability of exercise to promote an anti‐inflammatory monocyte phenotype. These findings provide novel insights into the immunomodulatory effects of exercise in humans and highlight the importance of directly measuring cellular cytokine action when evaluating the anti‐inflammatory effects of exercise. image Key points Circulating cytokine concentrations are frequently used to evaluate the anti‐inflammatory effects of exercise but may not capture changes in cytokine action occurring at the cellular level. We directly assessed anti‐inflammatory cytokine action – measured using a combination of intracellular signalling and cytokine secretion ex vivo – in distinct immune cell subpopulations after acute calorie‐matched exercise bouts differing in intensity and pattern. Anti‐inflammatory cytokine action was blunted following higher intensity exercise despite corresponding increases in circulating cytokine concentrations and immune cell counts. Changes in cytokine action were not explained by changes in cytokine receptor expression on circulating immune cells. Our findings provide new insights into the immunomodulatory effects of exercise in humans and highlight the importance of directly measuring cellular cytokine action when evaluating the anti‐inflammatory effects of exercise.

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)0.000
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Bench or experimental · Consensus signal: Bench or experimental
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.487
Threshold uncertainty score0.315

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0010.000
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 integrity0.0000.000
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 head0.032
GPT teacher head0.330
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 teacher head, not a consensus.

The models applied no category: nothing in the taxonomy fit this work.
Study designBench or experimental
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

Citations11
Published2024
Admission routes2
Has abstractyes

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