Parasite-Derived Excretory-Secretory Products Alleviate Gut Microbiota Dysbiosis and Improve Cognitive Impairment Induced by a High-Fat Diet/Experiment 4

Reviewed Marked as Reviewed by Svetlana up on 2025-2-5

Curated date: 2025/01/01

Curator: Joiejoie

Revision editor(s): Joiejoie, KateRasheed, WikiWorks

Host species Species from which microbiome was sampled. Contact us to have more species added.: Mus musculus

Body site Anatomical site where microbial samples were extracted from according to the Uber Anatomy Ontology: Feces Cow dung,Cow pat,Droppings,Dung,Excrement,Excreta,Faeces,Fecal material,Fecal matter,Fewmet,Frass,Guano,Matières fécales@fr,Merde@fr,Ordure,Partie de la merde@fr,Piece of shit,Porción de mierda@es,Portion of dung,Portion of excrement,Portion of faeces,Portion of fecal material,Portion of fecal matter,Portion of feces,Portion of guano,Portion of scat,Portionem cacas,Scat,Spoor,Spraint,Stool,Teil der fäkalien@de,Feces,feces

Condition The experimental condition / phenotype studied according to the Experimental Factor Ontology: Cognitive impairmentCognitive impairment

Group 0 name Corresponds to the control (unexposed) group for case-control studies: High-Fat Diet with Excretory-secretory products (HFE) group

Group 1 name Corresponds to the case (exposed) group for case-control studies: High-Fat Diet (HF) group

Group 1 definition Diagnostic criteria applied to define the specific condition / phenotype represented in the case (exposed) group: This group includes mice receiving the High Fat diet (60% fat by weight) and intraperitoneally injected with 200 ml vehicle control twice a week for the Simpson Index.

16S variable region One or more hypervariable region(s) of the bacterial 16S gene: V4

Sequencing platform Manufacturer and experimental platform used for quantifying microbial abundance: Illumina

Data transformation Data transformation applied to microbial abundance measurements prior to differential abundance testing (if any).: log transformation

Significance threshold p-value or FDR threshold used for differential abundance testing (if any): 0.05

MHT correction Have statistical tests be corrected for multiple hypothesis testing (MHT)?: No

Matched on Factors on which subjects have been matched on in a case-control study: body weight, Matched on: "fat mass" is not in the list (abnormal glucose tolerance, acetaldehyde, acute graft vs. host disease, acute lymphoblastic leukemia, acute myeloid leukemia, adenoma, age, AIDS, alcohol consumption measurement, alcohol drinking, ...) of allowed values.fat mass

Confounders controlled for Confounding factors that have been accounted for by stratification or model adjustment: body weight, diet, antibiotic, Confounders controlled for: "fat mass" is not in the list (abnormal glucose tolerance, acetaldehyde, acute graft vs. host disease, acute lymphoblastic leukemia, acute myeloid leukemia, adenoma, age, AIDS, alcohol consumption measurement, alcohol drinking, ...) of allowed values.fat mass