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α/β‐Hydrolase Domain‐6 Regulates Macrophage Polarization and its Inhibition Protects Against LPS‐Induced Inflammation

2021· article· en· W3173005926 on OpenAlexaff
Clémence Schmitt, Pegah Poursharifi, Marie‐Line Peyot, S.R. Murthy Madiraju, Marc Prentki

Bibliographic record

VenueThe FASEB Journal · 2021
Typearticle
Languageen
FieldImmunology and Microbiology
TopicImmune cells in cancer
Canadian institutionsUniversité de Montréal
Fundersnot available
KeywordsInflammationMacrophage polarizationLipopolysaccharideTumor necrosis factor alphaImmunologyMacrophageMedicineBiologyBiochemistryIn vitro

Abstract

fetched live from OpenAlex

The activated M1 macrophages exhibit pro‐inflammatory activity and contribute to diverse inflammatory disorders, such as microbial infection, sepsis, autoimmune diseases, and cardiometabolic disorders. Thus, targeting macrophage polarization towards an anti‐inflammatory M2 phenotype may provide a strategy to treat inflammatory diseases. Deletion of the monoacylglycerol lipase α/β‐hydrolase domain‐6 (ABHD6) demonstrated the therapeutic potential of targeting ABHD6 against obesity, type‐2‐diabetes, and other inflammatory disorders. However, the role of ABHD6 in macrophage activation/polarization under inflammatory conditions remains to be ascertained. Using macrophage cell lines, a pharmacological approach, and whole‐body ABHD6 KO mice, we investigated whether ABHD6 suppression is protective against lipopolysaccharide (LPS)‐induced inflammation. Pharmacological inhibition of ABHD6 activity with a potent inhibitor (KT203) in RAW264.7 and J774A.1 macrophages attenuates LPS‐induced expression of pro‐inflammatory cytokines ( Tnfa and Mcp1 ). In addition, ABHD6 inhibition results in decreased LPS‐induced secretion of TNFα and MCP1 from RAW264.7 macrophages. Interestingly, absence of ABHD6 activity promotes LPS‐primed macrophage polarization towards the M2 phenotype, as evidenced by the increased arginase‐1 ( Arg1 ) expression. Furthermore, whole‐body ABHD6 KO mice, compared to the wild‐type controls, show lower susceptibility to systemic LPS‐induced inflammation as indicated by a decline in plasma TNFα and MCP‐1 levels and reduced expression of pro‐inflammatory markers ( Cd68 and Il1b ) in peripheral blood mononuclear cells and lung tissue. Finally, ABHD6 KO mediated protection against acute LPS‐induced inflammation is more prominent in female versus male mice. Taken together, our data support a pro‐inflammatory role for ABHD6 under LPS‐induced condition. ABHD6 inhibition switches LPS‐induced macrophage polarization towards an anti‐inflammatory M2 state, and ABHD6 deletion in mice attenuates systemic response to LPS challenge. The results suggest the therapeutic potential of ABHD6 inhibition for the treatment of inflammation‐associated 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)0.000
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 score0.004

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 integrity0.0000.001
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 head0.009
GPT teacher head0.216
Teacher spread0.206 · 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

Citations0
Published2021
Admission routes1
Has abstractyes

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