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Record W4406054137 · doi:10.26355/eurrev_202412_37002

A monoamine oxidase B inhibitor altered gene expression of catalytically active dual-specificity phosphatases in human oral gingival keratinocytes.

2024· article· en· W4406054137 on OpenAlexaff
Mahyar Ostadkarampour, Edward E. Putnins

Bibliographic record

VenuePubMed · 2024
Typearticle
Languageen
FieldBiochemistry, Genetics and Molecular Biology
TopicProtein Tyrosine Phosphatases
Canadian institutionsUniversity of British Columbia
Fundersnot available
KeywordsMonoamine oxidaseChemistryMonoamine oxidase BPhosphataseDual-specificity phosphataseGeneOxidase testEnzymeBiochemistry

Abstract

fetched live from OpenAlex

OBJECTIVE: Monoamine oxidase (MAO) inhibitors reduce inflammation in a number of in vitro and in vivo models. This finding led to the development of a novel MAO-B selective inhibitor (RG0216) designed to reduce blood-brain barrier penetration. To elucidate RG0216's regulatory role in inflammation-relevant signaling pathways, we employed a transcriptome analytic approach to identify genes that are differentially regulated by RG0216 and then globally identified which inflammation-relevant biological signaling pathways were altered by this drug. MATERIAL AND METHODS: Primary human gingival keratinocyte (HGK) cells were treated with RG0216, and RNA was extracted (4 h). RNAseq transcriptome analysis was utilized to identify differentially expressed genes (DEGs), while Gene Ontology (GO), and Kyoto Encyclopedia of Genes and Genomes (KEGG) analyses were used to identify significantly enriched biological pathways. Relevant genes associated with these pathways and RG0216 regulation of Porphyromonnas gingivalis lipopolysaccharide (PgLPS)-induced cytokine/chemokine expression were evaluated using the real-time quantitative reverse-transcription polymerase chain reaction (RT-qPCR) approach. RESULTS: RG0216 significantly altered the expression of 50 DEGs in HGK cells. Using GO and KEGG analytic approaches, these genes were associated with the biological pathways relevant to mitogen-activated protein kinase (MAPK) and MAPK phosphatases. These phosphatases are part of the 10-member catalytically active dual-specificity phosphatase (DUSP) family. RG0216 induced the expression of DUSP10, reduced the expression of DUSP4 and DUSP6, and decreased IL-6 and IL-8 expression in control and PgLPS-stimulated cultures. CONCLUSIONS: In HGK cells, a novel MAO-B inhibitor (RG0216) significantly altered DUSP4, DUSP6, and DUSP10 expression. DUSPs play a regulatory role in MAPK activity and, therefore, can alter cellular inflammatory responses. We found that RG0216 inhibited IL-6 and IL-8 expression. Further studies are planned to examine RG0216's regulatory role in DUSP expression and its impact on the regulation of cytokine/chemokine expression.

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)0.000
metaresearch head score (Gemma)0.000
Version: metacan-v3-hybrid-931329e0061cValidation 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 score0.001
Threshold uncertainty score0.003

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0000.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
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)0.0010.000

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 head0.251
Teacher spread0.233 · 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 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

Citations1
Published2024
Admission routes1
Has abstractyes

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