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Record W2772440592 · doi:10.1128/msphere.00555-17

The Human Gut Microbial Metabolome Modulates Fungal Growth via the TOR Signaling Pathway

2017· article· en· W2772440592 on OpenAlexafffund
Carlos García, Faïza Tebbji, Michelle C. Daigneault, Ning-Ning Liu, Julia R. Köhler, Emma Allen‐Vercoe, Adnane Sellam

Bibliographic record

VenuemSphere · 2017
Typearticle
Languageen
FieldNursing
TopicMicrobial Metabolites in Food Biotechnology
Canadian institutionsUniversity of GuelphUniversité Laval
FundersFonds de Recherche du Québec - SantéGovernment of CanadaNational Institutes of HealthCanada Foundation for InnovationNational Institute of Allergy and Infectious DiseasesNatural Sciences and Engineering Research Council of Canada
KeywordsMetabolomeBiologySignal transductionFungal growthMicrobiologyCell biologyMetabolomicsBioinformatics

Abstract

fetched live from OpenAlex

Candida albicans is a natural component of the human microbiota but also an opportunistic pathogen that causes life-threatening infections. The human gastrointestinal tract is the main reservoir of C. albicans , from where systemic infections originate as a consequence of the disruption of the intestinal mucosal barrier. Recent studies provided convincing evidence that overgrowth of C. albicans and other related species in the gut is predominantly associated with chronic intestinal inflammatory bowel diseases. Here, we showed, for the first time, the antagonistic interkingdom interactions between C. albicans and common intestinal commensal bacteria. From a therapeutic perspective, administering a defined bacterial community, such as the one described here with anti- Candida activity, could provide potential therapeutic protection against gastrointestinal inflammatory diseases.

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 score0.003
Threshold uncertainty score0.011

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)0.0030.001

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 head0.015
GPT teacher head0.253
Teacher spread0.238 · 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

Citations80
Published2017
Admission routes2
Has abstractyes

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