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Beyond Circulating Cytokines: Impact Of Exercise Intensity On Anti-inflammatory Cytokine Action In Monocytes And Lymphocytes

2023· article· en· W4387062432 on OpenAlexaff
Hashim Islam, Shun‐Hsi Tsai, Alexis Marcotte‐Chénard, Garett S. Jackson, Caíque Figueiredo, Johannes Bosak, Alfonso Moreno‐Cabañas, Jonathan P. Little

Bibliographic record

VenueMedicine & Science in Sports & Exercise · 2023
Typearticle
Languageen
FieldMedicine
TopicExercise and Physiological Responses
Canadian institutionsUniversité de SherbrookeOkanagan University CollegeUniversity of British Columbia, Okanagan CampusUniversity of British Columbia
Fundersnot available
KeywordsCytokineMedicineInternal medicineImmune systemExercise intensityEndocrinologyImmunologyCD14StimulationHeart rateBlood pressure

Abstract

fetched live from OpenAlex

Exercise-induced changes in circulating cytokine concentrations are widely used to support the anti-inflammatory effects of exercise. However, circulating cytokines do not capture important functional changes in cytokine action occurring at the cellular level. PURPOSE: To test the novel hypothesis that anti-inflammatory cytokine signaling in blood leukocytes - directly reflecting cellular cytokine action - is altered in an exercise intensity-dependent manner. METHODS: Active young adults completed a no-exercise control session (CTRL) or two exercise sessions involving work-matched (350 kcal) continuous cycling above (heavy intensity continuous exercise; HICE) or below (moderate intensity continuous exercise; MICE) lactate threshold in a counterbalanced crossover design with serial intravenous blood samples obtained before and after exercise. Changes in major immune cell subtypes were quantified using a hematology analyzer and phosphorylation of signal transducer and activation of transcription 3 (STAT3; a key intracellular transducer of anti-inflammatory cytokine action) was measured using flow cytometry following interleukin (IL)-6 (10 ng/mL) and IL-10 (100 ng/mL) stimulation of blood leukocytes ex vivo. RESULTS: Preliminary data from 6 participants (5 males, 1 female; age: 29 ± 2 years, BMI: 25 ± 2 kg/m2; VO2peak: 51 ± 5 ml/kg/min), revealed increases in total white blood cells (~48%), lymphocytes (~70%), monocytes (~38%), and neutrophils (~37%) immediately following HICE (p < 0.05), with no corresponding changes over time in CTRL (p > 0.49) or MICE (p > 0.12). IL-6 and IL-10 mediated STAT3 phosphorylation in CD14+ monocytes and CD4+ lymphocytes was reduced (~15-20%) immediately and 90 minutes following HICE (both p < 0.05). No changes in IL-10 or IL-6 mediated STAT3 phosphorylation were apparent over time in CTRL (p > 0.3) or MICE (p > 0.07). CONCLUSIONS: Contrary to the well documented increases in anti-inflammatory cytokine concentrations after exercise, our preliminary observations suggest that the ability of IL-6 and IL-10 to activate anti-inflammatory signaling pathways may be transiently blunted following acute heavy intensity exercise. Further work is needed to provide insight into the mechanisms and consequences of reduced anti-inflammatory cytokine signaling following HICE.

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)0.002
metaresearch head score (Gemma)0.001
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesMeta-epidemiology (narrow)
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Observational · Consensus signal: Observational
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.102
Threshold uncertainty score1.000

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0020.001
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0010.000
Bibliometrics0.0020.003
Science and technology studies0.0000.001
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 head0.033
GPT teacher head0.332
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.

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

Citations1
Published2023
Admission routes1
Has abstractyes

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