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Record W2889252217 · doi:10.1002/jcp.27084

Melatonin, a calpain inhibitor in the central nervous system: Current status and future perspectives

2018· review· en· W2889252217 on OpenAlexaff
Omid Reza Tamtaji, Naghmeh Mirhosseini, Rüssel J. Reiter, Abolfazl Azami, Zatollah Asemi

Bibliographic record

VenueJournal of Cellular Physiology · 2018
Typereview
Languageen
FieldBiochemistry, Genetics and Molecular Biology
TopicCalpain Protease Function and Regulation
Canadian institutionsPure North
Fundersnot available
KeywordsMelatoninCurrent (fluid)CalpainCentral nervous systemNeuroscienceBiologyPhysicsBiochemistry

Abstract

fetched live from OpenAlex

and oxidative stress plays an important role in the activation of cysteine proteases including calpains and caspases that contribute to neuronal death. In neurodegenerative diseases, traumatic brain injury, stroke, and neuropathic pain calpain activities are markedly increased. Melatonin is a beneficial supplement in the treatment of central nervous system (CNS) disorders. Melatonin is a potent antioxidant and works as a free-radical scavenger to regulate a large number of molecular pathways, including oxidative stress, inflammation, apoptosis, and cell death under different pathological conditions. However, limited studies have evaluated the inhibitory effect of melatonin on calpains. This review summarizes the current knowledge related to the effects of melatonin on calpains in some of the common CNS disorders.

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: Review · Consensus signal: Review
Teacher disagreement score0.003
Threshold uncertainty score0.011

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0010.001
Meta-epidemiology (narrow)0.0010.000
Meta-epidemiology (broad)0.0010.000
Bibliometrics0.0020.002
Science and technology studies0.0000.000
Scholarly communication0.0010.001
Open science0.0010.001
Research integrity0.0010.002
Insufficient payload (model declined to judge)0.0030.001

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 head0.011
GPT teacher head0.266
Teacher spread0.255 · 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
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

Citations26
Published2018
Admission routes1
Has abstractyes

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