ArticleBMC microbiology2024
Gut microbiota and mycobiota change with feeding duration in mice on a high-fat and high-fructose diet.
Article in BMC microbiology, 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 7 papers.
What it found
Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.
The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.
The trial behind it
Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.
Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.
Who cites it
7 citing papers in PubMed.
- Oral Mycobiome Alterations in Children with Phenylketonuria: Associations with Dietary Intake and Metabolic Context-A Pilot Study.Nutrients · 2026Article
- Superior inflammatory response and MASH progression inFrontiers in immunology · 2026Article
- Association Between Nonalcoholic Fatty Liver Disease and the Dietary Index for Gut Microbiota: A Cross-Sectional Study.Food science & nutrition · 2026Article
- Genetic and dietary determinants of gut microbiome-bile acid interactions in the BXD genetic reference population.Nature communications · 2025Article
- Era of metabolic dysfunction-associated steatotic liver disease and impact on the liver donor pool.World journal of gastroenterology · 2025Review
- Article
- Correlation of intestinal bacteria, fungi and dietary nutrient intake in NAFLD patients with spleen deficiency syndrome.Frontiers in cellular and infection microbiology · 2025Article
Corrections and comments
PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.
Authors and funding
8 authors.
Funding
Abstract
backgroundMetabolic dysfunction-associated fatty liver disease (MAFLD), formerly known as nonalcoholic fatty liver disease (NAFLD), is becoming the most common chronic liver disease. The gut microbiome is regarded to play a crucial role in MAFLD, but the specific changes of gut microbiome, especially fungi, in different stages of MAFLD are not well understood. This study aimed to observe the longitudinal changes of colon bacteria and fungi of mice at different feeding duration of a high-fat and high-fructose diet (HFHFD), and explore the association between the changes and the progression of MAFLD.
methodsTwenty-eight male C57BL6J mice were randomly assigned to the normal diet (ND) group and HFHFD group. At the 8th and 16th weeks, mice were sacrificed to compare the diversity, composition, and co-abundance network of bacteria and fungi in colon contents among groups.
resultsHFHFD-8W mice exhibited increases in Candida and Dorea, and decreases in Oscillospira and Prevotella in comparison to ND-8W mice, HFHFD-16W mice had increases in Bacteroides, Candida, Desulfovibrio, Dorea, Lactobacillus, and Rhodotorula, and decreases in Akkermansia, Aspergillus, Sterigmatomyces, and Vishniacozyma in comparison to ND-16W mice. And compared to HFHFD-8W mice, HFHFD-16W mice had increases in Desulfovibrio, Lactobacillus, Penicillium, and Rhodotorula, and decreases in Talaromyces and Wallemia. Spearman and GEE correlation analysis revealed that Bacteroides, Candida, Desulfovibrio, and Lactobacillus positively correlated with NAFLD activity score (NAS).
conclusionGut microbiota and mycobiota undergo diverse changes at different stages of MAFLD. CLINICAL TRIAL NUMBER: Not applicable.
Indexed as
Identifiers
What OpenQuestion holds
Registered trials
Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.