Preliminary characterization of gut mycobiome enterotypes reveals the correlation trends between host metabolic parameter and diet: a case study in the Thai CohortOriginal paper
Karen Pendergrass is a microbiome researcher specializing in microbiome-targeted interventions (MBTIs). She systematically analyzes scientific literature to identify microbial patterns, develop hypotheses, and validate interventions. As the founder of the Microbiome Signatures Database, she bridges microbiome research with clinical practice. In 2012, based on her own investigative research, she became the first documented case of FMT for Celiac Disease, four years before the first published case study.
Read MoreWhat was studied?
This study characterized gut fungal enterotypes in a Thai cohort and asked how they relate to diet and host metabolism. It was an observational cross-sectional analysis within a larger gut microbiota cohort. Fecal DNA was sequenced across the fungal ITS2 region on Illumina NovaSeq, then grouped into enterotypes by Bray-Curtis clustering. Diet came from three-day food records and food frequency questionnaires. Predicted fungal functions were inferred with PICRUSt2, and diet-metabolism links were tested by correlation.
Who was studied?
The cohort was 60 healthy Thai adults aged 20 to 40 with BMI between 18 and 38. All were free from chronic diseases including diabetes, cardiovascular disease and cancer. Participants had taken no antibiotics or lipid-altering, gut-altering medications in the prior three months. Pregnant or breastfeeding people and heavy drinkers were excluded. Clustering placed 15 participants in the Saccharomyces (Sa) enterotype and 45 in the Aspergillus/Penicillium (Ap/Pe) enterotype.
What were the most important findings?
Two fungal enterotypes dominated. The Sa enterotype was driven by Saccharomyces (60 to 93% abundance) and had lower fungal evenness and diversity. The Ap/Pe enterotype was more even, comprising genera such as Aspergillus and Penicillium. Diet related to body composition differently by enterotype. In the Sa group, fiber and sugar intake correlated positively with BMI and body fat, and fiber tracked with higher fasting glucose. In the Ap/Pe group, total fat intake drove body composition. Predicted functions diverged: the Sa enterotype was enriched for carbohydrate metabolism (pentose and glucuronate interconversion, L-arabinose isomerase, polygalacturonase), while Ap/Pe was enriched for lipid and sphingolipid metabolism.
What are the greatest implications of this study?
The findings suggest gut fungi, not just bacteria, may shape how individuals respond metabolically to the same diet. Enterotype could help explain why fiber benefits some people yet tracks with higher glucose in others. The authors frame this as a possible basis for personalized nutrition and weight management strategies keyed to a person's fungal enterotype. The study was small, cross-sectional, and functional roles were predicted from sequence data rather than measured. Causation is not established, and larger cohorts are needed to confirm the enzyme and pathway claims.