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Literatura académica sobre el tema "Mycobiote intestinal"
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Artículos de revistas sobre el tema "Mycobiote intestinal"
James, Steve A., Aimee Parker, Catherine Purse, Andrea Telatin, David Baker, Sandy Holmes, James Durham, Simon G. P. Funnell y Simon R. Carding. "The Cynomolgus Macaque Intestinal Mycobiome Is Dominated by the Kazachstania Genus and K. pintolopesii Species". Journal of Fungi 8, n.º 10 (8 de octubre de 2022): 1054. http://dx.doi.org/10.3390/jof8101054.
Texto completoChiappori, Federica, Francesca Anna Cupaioli, Arianna Consiglio, Noemi Di Nanni, Ettore Mosca, Vito Flavio Licciulli y Alessandra Mezzelani. "Analysis of Faecal Microbiota and Small ncRNAs in Autism: Detection of miRNAs and piRNAs with Possible Implications in Host–Gut Microbiota Cross-Talk". Nutrients 14, n.º 7 (23 de marzo de 2022): 1340. http://dx.doi.org/10.3390/nu14071340.
Texto completoLi, Xin, Irina Leonardi, Alexa Semon, Itai Doron, Iris H. Gao, Gregory Garbe’s Putzel, Youngjun Kim et al. "Sensing Fungal Dysbiosis by Gut-Resident CX3CR1+ Mononuclear Phagocytes Aggravates Allergic Airway Disease". Journal of Immunology 202, n.º 1_Supplement (1 de mayo de 2019): 191.3. http://dx.doi.org/10.4049/jimmunol.202.supp.191.3.
Texto completoMoeller, Jesper B., Irina Leonardi, Anders Schlosser, Anne-Laure Flamar, Nicholas J. Bessman, Gregory Garbès Putzel, Theresa Thomsen et al. "Modulation of the fungal mycobiome is regulated by the chitin-binding receptor FIBCD1". Journal of Experimental Medicine 216, n.º 12 (10 de octubre de 2019): 2689–700. http://dx.doi.org/10.1084/jem.20182244.
Texto completoKanj, Amjad N. y Joseph H. Skalski. "Gut Mycobiome and Asthma". Journal of Fungi 10, n.º 3 (1 de marzo de 2024): 192. http://dx.doi.org/10.3390/jof10030192.
Texto completoZhang, Lin, Hui Zhan, Wenye Xu, Shuai Yan y Siew C. Ng. "The role of gut mycobiome in health and diseases". Therapeutic Advances in Gastroenterology 14 (enero de 2021): 175628482110471. http://dx.doi.org/10.1177/17562848211047130.
Texto completoBellotti, Ruben, Cornelia Speth, Timon E. Adolph, Cornelia Lass-Flörl, Maria Effenberger, Dietmar Öfner y Manuel Maglione. "Micro- and Mycobiota Dysbiosis in Pancreatic Ductal Adenocarcinoma Development". Cancers 13, n.º 14 (8 de julio de 2021): 3431. http://dx.doi.org/10.3390/cancers13143431.
Texto completoTang, Jie, Iliyan D. Iliev, Jordan Brown, David M. Underhill y Vincent A. Funari. "Mycobiome: Approaches to analysis of intestinal fungi". Journal of Immunological Methods 421 (junio de 2015): 112–21. http://dx.doi.org/10.1016/j.jim.2015.04.004.
Texto completoLeonardi, Irina, Xin Li, Alexa Semon, Dalin Li, Itai Doron, Gregory Putzel, Agnieszka Bar et al. "CX3CR1+mononuclear phagocytes control immunity to intestinal fungi". Science 359, n.º 6372 (11 de enero de 2018): 232–36. http://dx.doi.org/10.1126/science.aao1503.
Texto completoXiang, Jun-Yan, Yan-Yu Chi, Jin-Xin Han, Ping Kong, Zehua Liang, Deli Wang, Hongyu Xiang y Qiuhong Xie. "Litchi chinensis seed prevents obesity and modulates the gut microbiota and mycobiota compositions in high-fat diet-induced obese zebrafish". Food & Function 13, n.º 5 (2022): 2832–45. http://dx.doi.org/10.1039/d1fo03991a.
Texto completoTesis sobre el tema "Mycobiote intestinal"
Cornu, Marjorie. "Mycobiome et maladies inflammatoires chroniques de l'intestin : Impact de la dysbiose sur l'inflammation intestinale et le processus fibrotique". Electronic Thesis or Diss., Université de Lille (2022-....), 2024. https://pepite-depot.univ-lille.fr/ToutIDP/EDBSL/2024/2024ULILS010.pdf.
Texto completoIntroduction. While the mycobiota represents a seemingly negligible quantitative proportion of the intestinal microbiota, evidence of its role in chronic inflammatory bowel diseases, and in particular in Crohn's disease (CD), is growing. This work aimed to evaluate the impact of Candida albicans and Saccharomyces cerevisiae on inflammation and intestinal fibrosis (IF), but also on the production of anti-S. cerevisiae antibodies (ASCA), recognizing oligomannosidic sequences of low degree of polymerization having a terminal α, 1-3 mannose residue.Methods. Murine (C57BL/6, axenic and CEABAC10 expressing human CEACAM6) and cellular (CCD-18Co fibroblast and Caco-2 intestinal epithelial cell) models of induced inflammation and IF (by DSS or TGF-β) were used to evaluate cellular, tissue and systemic responses to yeasts and bacterial strain LF82, invasive adherent strain of E. coli (AIEC) used as control, by histological analysis, RT-q-PCR and determination of ASCA. Alongside, a metagenomic (MTG) analysis of the fecal mycobiota and the determination of ASCA and fecal calprotectin were carried out as part of a case-control study, “MAGIC”. This study included subjects with recently diagnosed CD and in clinical remission in comparison to their healthy first-degree relatives, as well as to matched healthy controls. This study was carried out in collaboration with other research teams, analyzing in particular the bacterial fecal microbiota and carrying out the characterization of AIEC strains.Results. In the mouse model of chemo-induced IF, LF82 worsened inflammation and IF, clinically, microscopically and at the level of gene expression (GE). C. albicans increased the GE especially of markers of inflammation. S. cerevisiae had no effect. In vitro, only epithelial cells responded to TGF-β and/or LF82 and the GE of pro-fibrotic markers was increased, while yeast had no effect on IF. Furthermore, yeasts did not induce the synthesis of ASCA in the different mouse models studied. In the MAGIC clinical study, 41.7% of CD patients carried ASCA, 2.9% of healthy relatives and 1.8% of healthy controls and no difference was observed according to age. Bacterial MTG analysis showed a specific profile in healthy relatives (higher richness and AIEC) vs. controls and MC patients, particularly linked to the presence of symbionts bacteria, but also the higher presence of AIEC vs. controls; patients with CD had lower diversity vs. healthy controls and relatives, as well as the presence of higher AIEC vs. controls. However, the fecal mycobiota was similar between the different groups, whether in relative abundance (notably for C. albicans and S. cerevisiae), or in alpha- beta-diversity. No association between micromycetes and the different parameters evaluated (calprotectin, ASCA, AIEC) was found.Conclusion. These results suggest, within the limits of the models used, that the studied yeasts do not have an impact on IF, unlike LF82, and do not seem responsible for the synthesis of ASCA. The autoantibody hypothesis remains to be further explored. Fecal fungal MTG analysis of the individuals included in the MAGIC study suggests that the changes observed in other studies are a consequence of CD. Indeed, the absence of a specific fungal profile could be explained by the fact that the included subjects suffering from CD had a recent diagnosis and therefore had a little modified fungal profile at this stage of the disease. However, the quality of these data warrants that these results be confirmed in a large cohort of patients with CD followed sequentially at the beginning and throughout the course of the disease
Hoarau, Gautier. "Caractérisation du mycobiome intestinal et fécal chez les patients atteints de maladie de Crohn, et leurs parents sains du premier degré". Thesis, Lille 2, 2016. http://www.theses.fr/2016LIL2S033/document.
Texto completoIntroduction: Crohn's disease (CD) results from a complex interplay between host genetic factors and endogenous microbial communities.Methods: In the current study, we used Ion Torrent sequencing to characterize the gut bacterial microbiota (bacteriome) and fungal community (mycobiome) in patients with CD and their non-diseased first degree relatives (NCDR) in 9 familial clusters living in Northern France/Belgium, and in healthy individuals from 4 families living in the same area (non-CD unrelated, NCDU). Principal components analysis, diversity, and abundance analyses were conducted and CD-associated inter- and intra-kingdom microbial correlations determined. Significant microbial interactions were identified and validated using single- and mixed-species biofilms.Results: CD and NCDR groups clustered together in the mycobiome, but not in bacteriome. Microbiota of familial (CD, NCDR) samples were distinct from that of non-familial (NCDU) samples. Abundance of Serratia marcescens (SM), Escherichia coli (EC) was elevated in CD patients, while that of beneficial bacteria was decreased. Abundance of the fungus Candida tropicalis (CT) was significantly higher in CD compared to NCDR (P = .003), and positively correlated with levels of anti–Saccharomyces cerevisiae antibody (ASCA). Abundance of CT was positively correlated with SM and EC, suggesting these organisms interact in the gut. The mass and thickness of Triple species (CT+SM+EC) biofilm were significantly higher than single and double species biofilm. CT biofilms comprised of blastospores, while double and triple species biofilms were enriched in hyphae. SM used fimbriae to co-aggregate or attach with CT/EC, while EC closely apposed with CT. Conclusion: Specific inter-kingdom microbial interactions may be key determinants in CD
Borges, Francis Moreira. "Caracterização de fungos intestinais cultiváveis e avaliação da estrutura da micobiota intestinal humana de indivíduos obesos, com sobrepeso e eutróficos". Universidade Federal de Juiz de Fora (UFJF), 2018. https://repositorio.ufjf.br/jspui/handle/ufjf/6772.
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Os fungos têm um papel complexo no trato intestinal, influenciando diretamente na saúde e na doença e sua disbiose pode contribuir para a obesidade. O objetivo deste estudo foi avaliar a diversidade de fungos da microbiota intestinal humana entre indivíduos eutróficos, com sobrepeso e obesos. Foram coletados espécimes fecais de 72 indivíduos adultos e análises dependentes e independentes de cultivo foram realizadas para avaliar os fungos presentes. As leveduras foram identificadas pela técnica de ionização e dessorção a laser assistida por matriz acoplada a analisador do tipo espectro de massa por tempo de vôo (MALDI-TOF MS) e os fungos filamentosos por microcultivo. A contagem média de fungos filamentosos e leveduras cultiváveis foi de 1,58 Log10 UFC/g de fezes. Diferenças significativas no nível populacional dos fungos filamentosos foi observado entre os grupos dos indivíduos eutróficos e obesos. Trinta e quatro gêneros de fungos foram identificados. O filo predominante foi Ascomycota com 29 gêneros e/ou espécies diferentes, seguido por Zigomycota e Basidiomycota. O fungo mais isolado nos indivíduos eutróficos foi Paecylomyces sp. e nos indivíduos obesos Penicillium sp. Os indivíduos eutróficos apresentam uma diversidade ligeiramente maior de fungos filamentosos do que os indivíduos obesos. Os indivíduos do sexo feminino tiveram um maior número de fungos diferentes quando comparados aos do sexo masculino. A análise de eletroforese em gel de gradiente desnaturante (DGGE) mostrou agrupamento dos indivíduos eutróficos e com sobrepeso em um cluster e dos indivíduos obesos em outro cluster distinto, embora a riqueza tenha sido baixa nos três grupos. A análise de hibridização in situ florescente (FISH) demonstrou maior densidade relativa de C. albicans no grupo obeso quando comparado ao eutrófico e pela análise de reação da polimerase em cadeia quantitativa (qPCR) um número maior de cópias de DNA de fungos e do filo Ascomycota nos indivíduos obesos quando comparado aos indivíduos com sobrepeso e obesos. Foi verificada correlação positiva entre os fungos e os parâmetros antropométricos colesterol total, LDL, triglicerídeos, hemoglobina, HOMA-IR, HOMA-β, insulina, glicose sérica, creatinina e porcentagem de fibras e carboidratos da dieta. Outros estudos são necessários para melhor compreender a interrelação entre a micobiota do intestino e a obesidade. Futuramente, este conhecimento poderá ser utilizado na modulação da micobiota intestinal e no tratamento da obesidade.
Fungi have a complex role in the intestinal tract, directly influencing health and disease and potential dysbiosis could contribute to obesity. The aim of this study was to investigate the fungal diversity of human gut microbiota among eutrophic, overweight, and obese individuals and to understand the gut microbial ecology shifts between healthy and obese individuals. Stool samples of 72 adult individuals were collected and dependent and independent cultive approach were performed to evaluate the fungi. The yeasts were identified by matrix-assisted laser desorption ionization time-of-flight mass spectrometry (MALDI-TOF MS) and the filamentous fungi were identified by microculture. The mean count of filamentous fungi and yeast was 1.58 log10 CFU/g of feces. Significant differences in the population level of the filamentous fungi was observed within eutrophic and obese groups. Overall, 34 genera were identified. The predominant phylum was Ascomycota with 20 different genera, followed by Basidiomycota and Zygomycota. The most prevalent specie was Paecylomyces sp. in euthrophic individuals and Penicillium sp. in obese individuals. The results of the eutrophic individuals suggest a slightly higher diversity of fungi within these individuals. Female individuals had a greater diversity of fungal types compared to males. The denaturing gradient gel electrophoresis (DGGE) analysis showed the grouping of eutrophic and overweight individuals in one cluster and of obese individuals in another cluster, although richness was low in all three groups. The fluorescence in situ hybridization (FISH) analysis showed a higher relative density of C. albicans in the obese group when compared to eutrophic and by the quantitative real time PCR (qPCR) a larger number of DNA copies of fungi and the phylum Ascomycota in obese individuals when compared to overweight and obese individuals. There was a positive correlation between fungi and the anthropometric parameters, total cholesterol, LDL, triglycerides, hemoglobin, HOMA-IR, HOMA-β, insulin, serum glucose, creatinine and percentage of dietary fibers and carbohydrates. Other studies are needed to better understand the causal relationship between gut mycobiota and obesity. This knowledge could be used in modulating the gut mycobiota and identifying future obesity treatments.