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Record W3158197537 · doi:10.26685/urncst.224

The Effect of Exercise on Reducing Tumor Necrosis Factor Alpha Levels and Attenuating Serotonin Transporter Gene Expression: A Research Protocol

2021· article· en· W3158197537 on OpenAlexaff
Janany Gunabalasingam, Kajol Aggarwal

Bibliographic record

VenueUndergraduate Research in Natural and Clinical Science and Technology (URNCST) Journal · 2021
Typearticle
Languageen
FieldNeuroscience
TopicTryptophan and brain disorders
Canadian institutionsMcMaster University
Fundersnot available
KeywordsSerotonin transporterTumor necrosis factor alphaSerotoninEndocrinologyInternal medicineCytokineMedicineInflammationp38 mitogen-activated protein kinasesStimulationHippocampusReuptakeOpen fieldMAPK/ERK pathwayPharmacologyKinaseBiologyReceptorCell biology

Abstract

fetched live from OpenAlex

Introduction: The intricate relation between depression and inflammation has become a prevalent topic of discussion among the scientific community. Pro-inflammatory cytokines exert depressogenic effects by crossing the blood brain barrier and disrupting serotonin (5-hydroxytryptamine, 5-HT) homeostasis through serotonin transporters (SERTs). SERTs induce 5-HT reuptake, causing 5-HT deficiency. This study demonstrates that (1) exercise decreases levels of the pro-inflammatory cytokine, Tumor Necrosis Factor alpha (TNF-α), and (2) a decline in TNF-α attenuates SERT activity through the proposed mechanism of activating the p38 mitogen-activated protein kinase (MAPK) pathway in the hippocampus. Methods: 32 Sprague-Dawley rats are randomly divided into four groups. Rats not exercising serve as control. Exercising rats, exposed to 6 weeks of treadmill exercise, receive either vehicle intracerebroventricular injection, intracerebroventricular injection of TNF-α antibody Infliximab, or intracerebroventricular injection of MAPK inhibitor SB203580. Control rats also receive vehicle intracerebroventricular injection. 24 hours post-injection, blood is collected, and serum is separated for an ELISA test to assess TNF-α levels. To measure SERT gene expression, RNA is isolated from hippocampal tissue and PCR is performed. Results: Exercising rats are anticipated to show reduced TNF-α levels compared to control, confirming exercise decreases pro-inflammatory cytokines. Exercising rats should also show decreased SERT gene expression, as exercise attenuates TNF-α mediated stimulation of SERTs. SERT expression is expected to be similar in rats injected with Infliximab and SB203580, suggesting that TNF-α exerts its effect through the p38 MAPK pathway. Discussion: Moderate intensity exercise reduces TNF-α levels, which limits 5-HT uptake by attenuating the expression of the SERT gene, thus mitigating depressive symptoms. It is also postulated that TNF-α modulates levels of SERT expression through the p38 MAPK pathway, as rats injected with SB203580 have shown to have similar gene expression as rats injected with Infliximab. Conclusion: Understanding the negative correlation between exercise and depression provides insight into viable treatment alternatives for depression. Exercise may be used alone or in conjunction with current treatments to prevent or minimize symptoms of mood disorders. Further investigation may reveal the effects of other cytokines on extracellular 5-HT levels, and their consequent influence on depression and its symptoms.

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)0.001
metaresearch head score (Gemma)0.001
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: Protocol · Consensus signal: none
Teacher disagreement score0.019
Threshold uncertainty score0.064

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0010.001
Meta-epidemiology (narrow)0.0020.001
Meta-epidemiology (broad)0.0020.002
Bibliometrics0.0010.001
Science and technology studies0.0010.001
Scholarly communication0.0010.000
Open science0.0020.001
Research integrity0.0020.002
Insufficient payload (model declined to judge)0.0190.003

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 head0.104
GPT teacher head0.445
Teacher spread0.341 · 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
GenreProtocol

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
Published2021
Admission routes1
Has abstractyes

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