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Record W4323351038 · doi:10.1093/jcag/gwac036.020

A20 EARLY-LIFE FUNGAL COLONIZATION MEDIATES HOST METABOLISM AND WHITE ADIPOSE TISSUE INFLAMMATION IN MICE

2023· article· en· W4323351038 on OpenAlexafffund
Mackenzie W. Gutierrez, Erik van Tilburg Bernardes, K Kalbfleisch, Faye Chleilat

Bibliographic record

VenueJournal of the Canadian Association of Gastroenterology · 2023
Typearticle
Languageen
FieldBiochemistry, Genetics and Molecular Biology
TopicGut microbiota and health
Canadian institutionsUniversity of Calgary
FundersCanadian Institutes of Health ResearchCumming School of Medicine, University of Calgary
KeywordsAdipose tissueBiologyInflammationWhite adipose tissueImmune systemCandida albicansColonizationMicrobiomeImmunologyImmunityMicrobiologyObesityEndocrinologyBioinformatics

Abstract

fetched live from OpenAlex

Abstract Background The gut microbiome has been linked to metabolic diseases including obesity, however the role of fungi (mycobiome) remains understudied. Recently, fungal taxa have been correlated with obesity in humans, though their causal contribution to obesity development, especially in the context of early life, is unknown. Obesity has been associated with metabolic inflammation, including alterations to the white adipose tissue (WAT) immune landscape, which has been shown to be influenced by the microbiome. Given the potent modulation of host immunity by the mycobiome, it is plausible that it also influences WAT inflammation. Purpose This research aimed to explore the role of early-life colonization by specific fungal taxa in obesity development and WAT inflammation. Method Gnotobiotic mice were colonized from birth with 12 mouse-derived bacteria (Oligo-MM12) alone or in combination with Candida albicans or Rhodotorula mucilaginosa. Mice were weaned onto a control or high-fat-high-sugar diet (HFHS) and evaluated at 12 weeks for metabolic and associated inflammatory outcomes. Result(s) C. albicans colonization reduced body weight in mice fed control diet, and induced resistance to weight and adiposity gain in mice fed HFHS. In contrast, R. mucilaginosa colonization was associated with increased adiposity in mice fed control diet, and elevated glycemia and LDL-cholesterol in mice fed HFHS. Fungal colonization had a broad impact on immune cells in white adipose tissue. C. albicans colonization was associated with increased adipose tissue inflammation with elevated Th1, Th17, ɣδT cells, ILC1, NK cells, cDC1 and neutrophils independently of diet. Additionally, vascular associated macrophages (VAM), CX3CR1+ macrophages and DCs, and ILC3 were elevated in mice fed control diet, while mice fed HFHS displayed elevated Th2, CD8+ T cells and eosinophils. In contrast, R. mucilaginosa colonized mice displayed decreased adipose tissue B cells and increased VAMs when fed control diet, and increased CX3CR1+ DCs when fed HFHS. Interestingly, C. albicans colonization was associated with increased relative expression of mPgc1⍺ in white adipose tissue of HFHS fed mice, indicative of enhanced mitochondrial biogenesis. Conclusion(s) Elevated adipose tissue inflammation with C. albicans colonization suggests dysfunction of energy storage and may explain the decreased body weight and resistance to diet-induced obesity, while the immune changes in R. mucilaginosa colonized mice may exacerbate obesity development. This work revealed that two common fungal colonizers have distinct and striking influences on obesity and metabolic inflammation and prompts for the inclusion of fungi in microbiome studies on host metabolism. Please acknowledge all funding agencies by checking the applicable boxes below CIHR, Other Please indicate your source of funding Cumming School of Medicine Disclosure of Interest None Declared

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 score0.010

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0000.000
Meta-epidemiology (narrow)0.0010.000
Meta-epidemiology (broad)0.0010.001
Bibliometrics0.0010.000
Science and technology studies0.0000.001
Scholarly communication0.0010.000
Open science0.0000.000
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 head0.005
GPT teacher head0.218
Teacher spread0.213 · 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
Published2023
Admission routes2
Has abstractyes

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