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Record W4414381536 · doi:10.1016/j.chom.2025.08.011

Long-chain unsaturated fatty acids released during immune responses stimulate host-microbe trans-kingdom communication

2025· article· en· W4414381536 on OpenAlexafffund
Aleksander Czauderna, Grishma Kulkarni, Niccolò Bianchi, Liqing Cheng, M. Sim, Nicola R Realini, Joanna Gach, Aurélie Caillon, Joachim Kloehn, Gérard Lambeau, Annika Hausmann, Stefano Serra, Matthew T. Sorbara, Simone Becattini

Bibliographic record

VenueCell Host & Microbe · 2025
Typearticle
Languageen
FieldBiochemistry, Genetics and Molecular Biology
TopicGut microbiota and health
Canadian institutionsUniversity of Guelph
FundersCanadian Institutes of Health ResearchSchweizerischer Nationalfonds zur Förderung der Wissenschaftlichen Forschung
KeywordsImmune systemFlagellinCommensalismBacteriaHost (biology)Function (biology)Gut floraGene

Abstract

fetched live from OpenAlex

Immune responses can significantly alter the structure and function of the gut microbiota, leading to rapid transcriptional and metabolic shifts in commensal microbes. However, the host mediators involved in this process and their effects on bacteria remain poorly elucidated. Here, using a flagellin injection model to induce immune activation, we identified unsaturated long-chain fatty acids (uLCFAs) as broad modulators that are released into the gut lumen and alter bacterial gene expression. Luminal release of uLCFAs is partially mediated by host phospholipases, including PLA2G5. In response to uLCFAs, commensals such as Blautia trigger the expression of ohyA, encoding oleate hydratase, which converts toxic uLCFAs to non-toxic hydroxy fatty acids with immunomodulatory properties. Remarkably, oral administration of uLCFAs to mice replicates many of the bacterial transcriptional changes induced by flagellin. This molecular loop underscores the sophisticated interactions between host and microbiota and sheds light on how immune responses affect gut commensal functions.

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)0.000
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesMeta-epidemiology (narrow)
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 score0.097
Threshold uncertainty score1.000

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0000.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.000
Science and technology studies0.0010.000
Scholarly communication0.0000.000
Open science0.0010.000
Research integrity0.0000.000
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 head0.008
GPT teacher head0.259
Teacher spread0.251 · 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 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

Citations9
Published2025
Admission routes2
Has abstractyes

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