Multiple Sclerosis Patients have an Altered Gut Mycobiome and Increased Fungal to Bacterial Richness Running Title: RRMS Patients have Gut Fungal Dysbiosis
Yadav, M.; Ali, S.; Shrode, R. L.; Shahi, S. K.; Jensen, S. N.; Hoang, J.; Cassidy, S.; Olalde, H.; Guseva, N.; Paullus, M.; Cherwin, C.; Wang, K.; Cho, T.; Kamholz, J.; Mangalam, A. K.
Show abstract
Trillions of microbes such as bacteria, fungi, and viruses exist in the healthy human gut microbiome. Although gut bacterial dysbiosis has been extensively studied in multiple sclerosis (MS), the significance of the fungal microbiome (mycobiome) is an understudied and neglected part of the intestinal microbiome in MS. The aim of this study was to characterize the gut mycobiome of patients with relapsing-remitting multiple sclerosis (RRMS), compare it to healthy controls, and examine its association with changes in the bacterial microbiome. We characterized and compared the mycobiome of 20 RRMS patients and 33 healthy controls (HC) using Internal Transcribed Spacer 2 (ITS2) and compared mycobiome interactions with the bacterial microbiome using 16S rRNA sequencing. Our results demonstrate an altered mycobiome in RRMS patients compared with HC. RRMS patients showed an increased abundance of Basidiomycota and decreased Ascomycota at the phylum level with an increased abundance of Candida and Epicoccum genera along with a decreased abundance of Saccharomyces compared to HC. We also observed an increased ITS2/16S ratio, altered fungal and bacterial associations, and altered fungal functional profiles in MS patients compared to HC. This study demonstrates that RRMS patients had a distinct mycobiome with associated changes in the bacterial microbiome compared to HC. There is an increased fungal to bacterial ratio as well as more diverse fungal-bacterial interactions in RRMS patients compared to HC. Our study is the first step towards future studies in delineating the mechanisms through which the fungal microbiome can influence MS disease.
Matching journals
The top 8 journals account for 50% of the predicted probability mass.
Similar papers in this journal
- Cerebral Small Vessel Disease Burden is Associated with Decreased Abundance of Gut Barnesiella intestinihominis Bacterium in the Framingham Heart Study 92%
- Assessment of infant outgrowth of cow's milk allergy in relation to the faecal microbiome and metaproteome 92%
- Probiotic Supplementation Reduces Inflammatory Profiles But Does Not Prevent Oral Immune Perturbations During SIV Infection 91%
Similar papers in this journal
- Gut microbiota analyses of Saudi populations for type 2 diabetes-related phenotypes reveals significant association 91%
- Long-term impact of fecal transplantation in healthy volunteers 91%
- Gut Microbiome Profiling of a Rural and Urban South African Cohort Reveals Biomarkers of a Population in Lifestyle Transition 90%
Similar papers in this journal
- Poly-omic risk scores predict inflammatory bowel disease diagnosis 91%
- Unique features of the gut microbiome characterized in animal models of Angelman Syndrome 90%
- Metabolome-informed microbiome analysis refines metadata classifications and reveals unexpected medication transfer in captive cheetahs 90%
Similar papers in this journal
- Longitudinal impact of oral probiotic Lactobacillus acidophilus vaccine strains on the immune response and gut microbiome of mice 92%
- Herpes Simplex Virus Infection, Acyclovir and IVIG Treatment All Independently Cause Gut Dysbiosis. 92%
- Olfactory Dysfunction in Patients with Multiple Sclerosis; A Systematic Review and Meta-Analysis 90%
Similar papers in this journal
"Similar papers" are the closest papers from that journal in the model's embedding space. They show what the match is built on, but the ranking comes mostly from a classifier over the whole training set, not from these examples alone.