Intestinal Microbiota Impact for Prognosis and Treatment Outcomes in Early Luminal Breast Cancer and Pancreatic Cancer Patients
Ontology highlight
ABSTRACT:
DISEASE(S): Pancreas Cancer,Breast Neoplasms,Pancreatic Neoplasms,Breast Cancer
PROVIDER: 2751474 | ecrin-mdr-crc |
REPOSITORIES: ECRIN MDR
Similar Datasets
Project description:Perturbance of gut microbiota (GM) composition has implications in onset and progression of an emerging number of diseases. Here we demonstrate a regulatory impact on proper development of the peripheral nervous system (PNS) and its functional connection to skeletal muscles (SM). We analysed peripheral nerves, dorsal root ganglia (DRG) and SM of neonatal and adult mice that were raised as a) germ free (GF) mice, b) gnotobiotic mice, i.e. selectively colonised with 12 known gut bacteria (OMM12), or c) colonised with complex GM (CGM). Stereological and morphometrical analysis mainly revealed that absence of GM impairs the development of median nerves, resulting in smaller diameter hypermyelinated axons. Accordingly, transcriptomic analysis on DRG and sciatic nerves highlighted a panel of differentially expressed developmental and myelination genes. Moreover, GF mice demonstrated histologically atrophic SM, impaired formation of neuromuscular junctions, and deregulated expression of related genes. Our results, for the first time, imply the existence of a “GM-PNS-axis”.
2024-06-10 | GSE210649 | GEO
Project description:In the presented study, in order to unravel gut microbial community multiplicity and the influence of maternal milk nutrients (i.e., IgA) on gut mucosal microbiota onset and shaping, a mouse GM (MGM) was used as newborn study model to discuss genetic background and feeding modulation on gut microbiota in term of symbiosis, dysbiosis and rebiosis maintenance during early gut microbiota onset and programming after birth. Particularly, a bottom-up shotgun metaproteomic approach, combined with a computational pipeline, has been compred with a culturomics analysis of mouse gut microbiota, obtained by MALDI-TOF mass spectrometry (MS).
2016-10-13 | PXD004033 | Pride
Project description:Diet is a key factor influencing gut microbiota (GM) composition and functions, which in turn affect host health. Among dietary regimens, time-restricted (TR) feeding has been associated to numerous health benefits. To date, little is known about the modulation of GM protein functions by TR feeding. Here, we analyzed the effects of TR feeding on GM protein expression in a rat model through a metaproteomic approach. We observed that TR feeding has a relevant impact on GM functions, especially on several biological activities exerted by members of the genus Lactobacillus, including proteolysis and metabolism of galactose-containing glycans.
2021-10-15 | PXD024509 | Pride
Project description:The effect of oral microbiota on the intestinal microbiota has garnered growing attention as a mechanism linking periodontal diseases to systemic diseases. However, the salivary microbiota is diverse and comprises numerous bacteria with a largely similar composition in healthy individuals and periodontitis patients. Thus, the systemic effects of small differences in the oral microbiota are unclear. In this study, we explored how health-associated and periodontitis-associated salivary microbiota differently colonized the intestine and their subsequent systemic effects by analyzing the hepatic gene expression and serum metabolomic profiles. The salivary microbiota was collected from a healthy individual and a periodontitis patient and gavaged into C57BL/6NJcl[GF] mice. Samples were collected five weeks after administration. Gut microbial communities were analyzed by 16S ribosomal RNA gene sequencing. Hepatic gene expression profiles were analyzed using a DNA microarray and quantitative polymerase chain reaction. Serum metabolites were analyzed by capillary electrophoresis time-of-flight mass spectrometry. The gut microbial composition at the genus level was significantly different between periodontitis-associated microbiota-administered (PAO) and health-associated oral microbiota-administered (HAO) mice. The hepatic gene expression profile demonstrated a distinct pattern between the two groups, with higher expression of Neat1, Mt1, Mt2, and Spindlin1, which are involved in lipid and glucose metabolism. Disease-associated metabolites such as 2-hydroxyisobutyric acid and hydroxybenzoic acid were elevated in PAO mice. These metabolites were significantly correlated with Bifidobacterium, Atomobium, Campylobacter, and Haemophilus, which are characteristic taxa in PAO mice. Conversely, health-associated oral microbiota were associated with higher levels of beneficial serum metabolites in HAO mice. The multi-omics approach used in this study revealed that periodontitis-associated oral microbiota is associated with the induction of disease phenotype when they colonized the gut of germ-free mice.
2022-08-17 | GSE198570 | GEO
Project description:To explore the changes in the composition and diversity of intestinal microbiota during 3-weeks of modified MAC diet and conventional diet in stage I or low-risk stage II colorectal cancer (CRC) patients after surgery. Additionally, the investigator analyze the association of gut microbiota and stool formation pattern or quality of life according to dietary pattern. Therefore, the investigator identify the beneficial or harmful microbiota composition and diversity adapting modified MAC diet that related to cancer recurrence, which provide supporting evidence for future prospective trial.
| 2389238 | ecrin-mdr-crc
Project description:Background: As a worldwide threat to mental health, depression affects about 322 million people globally. Recently, the role of gut microbiota dysbiosis on the pathogenesis of depression has received widespread attention, but the underlying mechanism remains elusive.Results: Corticosterone (CORT)-treated mice showed depressive-like behaviors, a reduction in hippocampal neurogenesis, and an altered composition of gut microbiota (GM). Fecal microbial transplantation (FMT) from CORT-treated mice transferred depressive-like phenotypes and their dominant GM, especially bifidobacterium and lactobacillus, to the recipients. Fecal metabolic profiling showed that the relative abundances of fecal ceramides were significantly increased in CORT-treated and the recipient mice. Metagenomic sequencing exposed that bifidobacterium and lactobacillus might be responsible for gut ceramides production in CORT-treated mice. We then found that treatment with ceramides via oral gavage was sufficient to recapitulate the depressive-like phenotypes in wild -type mice. Finally, RNA-sequencing data exposed that most of the differentially expressed genes (DEGs) between ceramides-treated mice and the control group were enriched in oxidative phosphorylation (OXPHOS) pathway. Conclusion: We conclude that chronic exposure to CORT leads to an altered GM composition and consequent ceramides production, thus leading to subtle mitochondrial OXPHOS dysfunction in hippocampus, which may contribute to the development of depressive disorders.
2024-04-01 | GSE229237 | GEO
Project description:The aim of this study is to characterise and compare the composition of the microbiota from sputum samples of cystic fibrosis sufferers from different centres. These data are part of a pre-publication release. For information on the proper use of pre-publication data shared by the Wellcome Trust Sanger Institute (including details of any publication moratoria), please see http://www.sanger.ac.uk/datasharing/
2014-09-16 | E-ERAD-265 | biostudies-arrayexpress
Project description:Human saliva microbiota is phylogenetically divergent among host individuals yet their roles in health and disease are poorly appreciated. We employed a microbial functional gene microarray, HuMiChip 1.0, to reconstruct the global functional profiles of human saliva microbiota from ten healthy and ten caries-active adults. Saliva microbiota in the pilot population featured a vast diversity of functional genes. No significant distinction in gene number or diversity indices was observed between healthy and caries-active microbiota. However, co-presence network analysis of functional genes revealed that caries-active microbiota was more divergent in non-core genes than healthy microbiota, despite both groups exhibited a similar degree of conservation at their respective core genes. Furthermore, functional gene structure of saliva microbiota could potentially distinguish caries-active patients from healthy hosts. Microbial functions such as Diaminopimelate epimerase, Prephenate dehydrogenase, Pyruvate-formate lyase and N-acetylmuramoyl-L-alanine amidase were significantly linked to caries. Therefore, saliva microbiota carried disease-associated functional signatures, which could be potentially exploited for caries diagnosis. The DMFT INDEX (Decayed, Missing, Filled [DMF] teeth index used in dental epidemiology) values are provided for each sample We employed a microbial functional gene microarray, HuMiChip 1.0, to reconstruct the global functional profiles of human saliva microbiota from ten healthy and ten caries-active adults.
2013-08-15 | E-GEOD-49875 | biostudies-arrayexpress
Project description:This is a prospective study evaluating the relation between the gut microbiota composition, intestinal healing after colorectal surgery and colorectal cancer behavior.
Our hypothesis is that the gut microbiota composition could predict poor intestinal healing in colorectal surgery, and that the gut microbiota might have an impact on colorectal cancer clinical behavior and may predict disease outcomes.
| 2314926 | ecrin-mdr-crc
Project description:This concerns a cross-sectional cohort study of 356 Dutch community-dwelling older adults to study the association of the oral microbiota with poor taste, poor smell, poor appetite and undernutrition. Data-collection consisted of body measurements (incl. body weight, height, and body impedance analysis), extensive appetite and food frequency questionnaires, taste and smell tests, and a tongue swab. The oral microbiota composition was assessed with 16S rRNA sequencing.
| EGAS00001005319 | EGA