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      Gut mycobiome and its interaction with diet, gut bacteria and alzheimer's disease markers in subjects with mild cognitive impairment: A pilot study

      research-article
      a , b , c , d , a , b , a , b , c , ** , a , b , *
      EBioMedicine
      Elsevier
      Alzheimer's, Dementia, Fungi, Mycobiota, Microbiome, Nutrition, Ketogenic diet, Mediterranean diet, Short-chain fatty acids, amyloid peptides, tau, AD:, Alzheimer disease, AHAD:, American Heart Association Diet, Aß:, amyloid beta, ApoE ε−4:, apolipoprotein-E ε−4 allele, CN:, cognitively normal, CSF:, cerebrospinal fluid, ITS:, internal transcribed spacer, KD:, ketogenic diet, LDA:, linear discrimination analysis, LEfSe:, linear discrimination analysis effect size, LP:, lumbar puncture, LPS:, lipopolysaccharide, MCI:, mildly cognitive impairment, MMKD:, modified Mediterranean-ketogenic diet, OTUs:, operational taxonomic units, PCoA:, principal coordinate analysis, SCFAs:, short-chain fatty acids

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          Abstract

          Background

          Recently, we reported that patients with mild cognitive impairment (MCI) harbor specific signature of bacteria in their gut and that a modified Mediterranean ketogenic diet (MMKD) improves Alzheimer's disease (AD) markers in cerebrospinal fluid (CSF) and the signatures of gut bacteria. However, other microbial population such as gut fungi (mycobiome) in relation to MCI/AD pathology, gut bacteria and diet remain unknown.

          Methods

          We measure gut mycobiome by sequencing of the fungal rRNA ITS1 gene in 17 older adults (11 MCI; 6 cognitively normal [CN]) in a single-center, randomized, double-blind, crossover pilot study, before and after 6 weeks intervention of MMKD and American Heart Association Diet (AHAD), and determine its correlation with AD markers in CSF and gut bacteria.

          Findings

          Compared to CN counterparts, patients with MCI have higher proportion of families Sclerotiniaceae, Phaffomyceteceae, Trichocomaceae, Cystofilobasidiaceae, Togniniaceae and genera Botrytis, Kazachstania, Phaeoacremonium and Cladosporium and lower abundance of Meyerozyma. Specific fungal taxa exhibit distinct correlation arrays with AD markers and gut bacteria in subjects with versus without MCI. MMKD induces broader effect on fungal diversity in subjects with MCI and increases Agaricus and Mrakia while decreasing Saccharomyces and Claviceps with differential response in subjects with or without MCI.

          Interpretation

          The study reveals MCI-specific mycobiome signatures and demonstrates that distinct diets modulate the mycobiome in association with AD markers and fungal-bacterial co-regulation networks in patients with MCI. The findings corroborate the notion of considering gut mycobiome as a unique factor that can affect cognitive health/AD by interacting with gut bacteria and diet and facilitate better understanding of the AD and related microbiome, using unique diet or microbiome modulators.

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          Most cited references47

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          Fungal microbiota dysbiosis in IBD

          Objective The bacterial intestinal microbiota plays major roles in human physiology and IBDs. Although some data suggest a role of the fungal microbiota in IBD pathogenesis, the available data are scarce. The aim of our study was to characterise the faecal fungal microbiota in patients with IBD. Design Bacterial and fungal composition of the faecal microbiota of 235 patients with IBD and 38 healthy subjects (HS) was determined using 16S and ITS2 sequencing, respectively. The obtained sequences were analysed using the Qiime pipeline to assess composition and diversity. Bacterial and fungal taxa associated with clinical parameters were identified using multivariate association with linear models. Correlation between bacterial and fungal microbiota was investigated using Spearman's test and distance correlation. Results We observed that fungal microbiota is skewed in IBD, with an increased Basidiomycota/Ascomycota ratio, a decreased proportion of Saccharomyces cerevisiae and an increased proportion of Candida albicans compared with HS. We also identified disease-specific alterations in diversity, indicating that a Crohn's disease-specific gut environment may favour fungi at the expense of bacteria. The concomitant analysis of bacterial and fungal microbiota showed a dense and homogenous correlation network in HS but a dramatically unbalanced network in IBD, suggesting the existence of disease-specific inter-kingdom alterations. Conclusions Besides bacterial dysbiosis, our study identifies a distinct fungal microbiota dysbiosis in IBD characterised by alterations in biodiversity and composition. Moreover, we unravel here disease-specific inter-kingdom network alterations in IBD, suggesting that, beyond bacteria, fungi might also play a role in IBD pathogenesis.
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            Interactions between commensal fungi and the C-type lectin receptor Dectin-1 influence colitis.

            The intestinal microflora, typically equated with bacteria, influences diseases such as obesity and inflammatory bowel disease. Here, we show that the mammalian gut contains a rich fungal community that interacts with the immune system through the innate immune receptor Dectin-1. Mice lacking Dectin-1 exhibited increased susceptibility to chemically induced colitis, which was the result of altered responses to indigenous fungi. In humans, we identified a polymorphism in the gene for Dectin-1 (CLEC7A) that is strongly linked to a severe form of ulcerative colitis. Together, our findings reveal a eukaryotic fungal community in the gut (the "mycobiome") that coexists with bacteria and substantially expands the repertoire of organisms interacting with the intestinal immune system to influence health and disease.
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              The gut mycobiome of the Human Microbiome Project healthy cohort

              Background Most studies describing the human gut microbiome in healthy and diseased states have emphasized the bacterial component, but the fungal microbiome (i.e., the mycobiome) is beginning to gain recognition as a fundamental part of our microbiome. To date, human gut mycobiome studies have primarily been disease centric or in small cohorts of healthy individuals. To contribute to existing knowledge of the human mycobiome, we investigated the gut mycobiome of the Human Microbiome Project (HMP) cohort by sequencing the Internal Transcribed Spacer 2 (ITS2) region as well as the 18S rRNA gene. Results Three hundred seventeen HMP stool samples were analyzed by ITS2 sequencing. Fecal fungal diversity was significantly lower in comparison to bacterial diversity. Yeast dominated the samples, comprising eight of the top 15 most abundant genera. Specifically, fungal communities were characterized by a high prevalence of Saccharomyces, Malassezia, and Candida, with S. cerevisiae, M. restricta, and C. albicans operational taxonomic units (OTUs) present in 96.8, 88.3, and 80.8% of samples, respectively. There was a high degree of inter- and intra-volunteer variability in fungal communities. However, S. cerevisiae, M. restricta, and C. albicans OTUs were found in 92.2, 78.3, and 63.6% of volunteers, respectively, in all samples donated over an approximately 1-year period. Metagenomic and 18S rRNA gene sequencing data agreed with ITS2 results; however, ITS2 sequencing provided greater resolution of the relatively low abundance mycobiome constituents. Conclusions Compared to bacterial communities, the human gut mycobiome is low in diversity and dominated by yeast including Saccharomyces, Malassezia, and Candida. Both inter- and intra-volunteer variability in the HMP cohort were high, revealing that unlike bacterial communities, an individual’s mycobiome is no more similar to itself over time than to another person’s. Nonetheless, several fungal species persisted across a majority of samples, evidence that a core gut mycobiome may exist. ITS2 sequencing data provided greater resolution of the mycobiome membership compared to metagenomic and 18S rRNA gene sequencing data, suggesting that it is a more sensitive method for studying the mycobiome of stool samples. Electronic supplementary material The online version of this article (10.1186/s40168-017-0373-4) contains supplementary material, which is available to authorized users.
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                Author and article information

                Contributors
                Journal
                EBioMedicine
                EBioMedicine
                EBioMedicine
                Elsevier
                2352-3964
                30 August 2020
                September 2020
                30 August 2020
                : 59
                : 102950
                Affiliations
                [a ]Department of Internal Medicine-Molecular Medicine, Wake Forest School of Medicine, Winston-Salem, NC, United States
                [b ]Department of Microbiology and Immunology, Wake Forest School of Medicine, Winston-Salem, NC, United States
                [c ]Department of Internal Medicine- Gerontology and Geriatric Medicine, Wake Forest School of Medicine, Winston-Salem, NC, United States
                [d ]Department of Neurology, Mayo Clinic, Rochester, MN, United States
                Author notes
                [* ]Corresponding author: Hariom Yadav, PhD, Assistant Professor, Department of Internal Medicine-Molecular Medicine, Department of Microbiology and Immunology, Wake Forest Biotech Place, Suite 2E-034, 575 Patterson Ave., Winston-Salem, NC 27101, USA. hyadav@ 123456wakehealth.edu
                [** ]Corresponding author: Suzanne Craft, PhD, Professor, Gerontology and Geriatric Medicine, J. Paul Sticht Center on Aging, Wake Forest School of Medicine, Winston-Salem, NC 27101, USA. suzcraft@ 123456wakehealth.edu
                Article
                S2352-3964(20)30326-1 102950
                10.1016/j.ebiom.2020.102950
                7475073
                32861197
                6d92eb2c-1fd4-4a07-ad98-c7d77469c1f9
                © 2020 The Authors

                This is an open access article under the CC BY license (http://creativecommons.org/licenses/by/4.0/).

                History
                : 8 June 2020
                : 17 July 2020
                : 28 July 2020
                Categories
                Research paper

                alzheimer's,dementia,fungi,mycobiota,microbiome,nutrition,ketogenic diet,mediterranean diet,short-chain fatty acids,amyloid peptides,tau,ad:, alzheimer disease,ahad:, american heart association diet,aß:, amyloid beta,apoe ε−4:, apolipoprotein-e ε−4 allele,cn:, cognitively normal,csf:, cerebrospinal fluid,its:, internal transcribed spacer,kd:, ketogenic diet,lda:, linear discrimination analysis,lefse:, linear discrimination analysis effect size,lp:, lumbar puncture,lps:, lipopolysaccharide,mci:, mildly cognitive impairment,mmkd:, modified mediterranean-ketogenic diet,otus:, operational taxonomic units,pcoa:, principal coordinate analysis,scfas:, short-chain fatty acids

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