MétaCan
Menu
Back to cohort

Adult neurogenic and antidepressant effects of adiponectin: a potential replacement for exercise?

2015· review· en· W2103056916 on OpenAlexaff
Ang Li, Suk‐Yu Yau, Sérgio Machado, Ti‐Fei Yuan, Kwok‐Fai So

Bibliographic record

VenueCNS & Neurological Disorders - Drug Targets · 2015
Typereview
Languageen
FieldMedicine
TopicAdipose Tissue and Metabolism
Canadian institutionsUniversity of Victoria
Fundersnot available
KeywordsAdiponectinNeurogenesisAntidepressantHippocampal formationNeuroscienceMedicinePhysical exerciseHippocampusCentral nervous systemInternal medicineBioinformaticsPsychologyBiologyObesityInsulin resistance

Abstract

fetched live from OpenAlex

Physical exercise has long been recognized to benefit locomotor and cardiovascular systems. Although an increasing body of evidence also suggests it to be an effective non-medicinal remedy for mental disorders such as depression, the underlying mechanisms remain elusive. A recent study has demonstrated that increases of the adipocyte-secreted hormone adiponectin in the central nervous system following exercise may be responsible for these neuropsychological changes, including enhanced generation of neurons in the adult hippocampus, as well as mitigation of depressive severity. The present review introduces the previously-reported functions of adult hippocampal neurogenesis and adiponectin, and discusses the potential relevance of adiponectin signaling in exercise-induced neural changes. Revealing these novel biological effects of adiponectin in the brain may help hunt reliable biomarkers to better guide the anti-depressive therapy with exercise intervention; meanwhile, pharmaceutical agents that raise endogenous levels of adiponectin or mimic its biological effects might serve as a replacement for physical 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)0.000
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: Not applicable · Consensus signal: none
GenreCandidate signal: Review · Consensus signal: Review
Teacher disagreement score0.971
Threshold uncertainty score1.000

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0000.001
Meta-epidemiology (narrow)0.0010.001
Meta-epidemiology (broad)0.0040.001
Bibliometrics0.0000.000
Science and technology studies0.0000.000
Scholarly communication0.0000.000
Open science0.0000.000
Research integrity0.0000.001
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 head0.018
GPT teacher head0.300
Teacher spread0.282 · 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
GenreReview

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

Citations14
Published2015
Admission routes1
Has abstractyes

Explore more

Same venueCNS & Neurological Disorders - Drug TargetsSame topicAdipose Tissue and MetabolismFrench-language works237,207