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Effects of Western Diet on Giardiasis: A Role for Fatty Acids and Gut Microbiota in the Persistence and Severity of <i>Giardia</i> Infections

2019· article· en· W3173638555 on OpenAlexafffund
Thibault Allain, Dimitri Desmonts de Lamache, Jean‐Paul Motta, Troy Feener, Raylene A. Reimer, André G. Buret

Bibliographic record

VenueThe FASEB Journal · 2019
Typearticle
Languageen
FieldImmunology and Microbiology
TopicParasitic Infections and Diagnostics
Canadian institutionsUniversity of Calgary
FundersNatural Sciences and Engineering Research Council of Canada
KeywordsGiardiaBiologyIntestinal parasiteMicrobiologyDiarrheaFecesGiardia lambliaGut floraParasite hostingImmunologyHelminthsInternal medicineMedicine

Abstract

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AIMS Giardia duodenalis is a protozoan parasite responsible for giardiasis, one of the most common cause of waterborne diseases. Giardia . sp causes epithelial disruptions as well as microbiota alterations. Giardia infections are common in countries with poor sanitation, where the diet is mostly agrarian and high in fiber content. Intriguingly, in such environments, giardiasis has commonly been reported to cause little or no illness. Giardiasis also occurs in developed countries with western/high fat diets, where infections are a common cause of diarrhea. This sutdy investigated the role of diet on the severity and the duration of giardiasis. We hypothesized that western diet may contribute to the persistence of Giardia in the gut. Experiments assessed the role of fatty acids and gut microbiota in pathophysiology. METHODS C57/BL6 mice were fed for two weeks with 5TJN Western diet or 5TJS Low‐Fat (LF) diet prior to infection with Giardia duodenalis GS/M strain (human isolate). The small intestines were collected at day 7 post infection (PI) for histological study and parasite burden. Gut microbiota composition was determined by Illumina Mi‐Seq 16S RNA sequencing. The effect of Oleic and Palmitic acid on Giardia metabolic activity was determined by resazurin assay. Finally, tight junction disruption of small intestinal epithelial cell line SCNB infected with G. duodenalis Assemblage A (NF strain) and Assemblage B (GS/M strain) in the presence of Oleic, Palmitic acid (0.3 mM) or both was determined by immunofluorescence. RESULTS We observed that Giardia infected C57/BL6 mice that were fed with 5TJN Western diet exhibited a significantly higher trophozoite burden 7 days PI. Giardia infected mice also exhibited more severe mucosal damage (lower villus‐crypt ratio) when fed with Western diet. Fecal microbiota analysis showed that mice fed with Western Diet exhibit a higher abundance of Verrucomicrobia and a lower abundance of Firmicutes than mice fed LF diet. Upon Giardia infection, a decrease of Bacteroidetes and an increase of Firmicutes was observed. Overall, Giardia infection induced an increase of the alpha diversity in Western mice compared to mice given LF diet. Trophozoite metabolic activity was enhanced in the presence of Oleic acid (0.1 mM) and Palmitic acid (0.25mM). In addition, small intestine cell lines infected with G. duodenalis strain NF and GS/M showed a disruption and/or a rearrangement of tight junction proteins such as ZO‐1, Claudin‐1 and 4 when incubated with Oleic and Palmitic acids (0.3 mM). CONCLUSION This study gives insight into how diet may influence the outcome of parasitic diseases and intestinal pathophysiology. The findings suggest that a Western Diet may increase the severity of giardiasis by, at least in part, promoting the growth of Giardia through fatty acid supplementation and microbiota modulation. The potential of diet intervention in treatment against parasitic diseases warrants further research. Support or Funding Information Grant support : NSERC This abstract is from the Experimental Biology 2019 Meeting. There is no full text article associated with this abstract published in The FASEB Journal .

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 score0.002
Threshold uncertainty score0.007

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0000.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.001
Bibliometrics0.0000.000
Science and technology studies0.0000.000
Scholarly communication0.0010.000
Open science0.0000.000
Research integrity0.0000.001
Insufficient payload (model declined to judge)0.0020.000

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 head0.228
Teacher spread0.221 · 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
Published2019
Admission routes2
Has abstractyes

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