Project description:The link between the gut microbiota and the human physiological state has been demonstrated in recent years. High gut microbiota diversity has been linked to many beneficial functions necessary or human health, while dysbiosis has been correlated to different pathological states. In this context, the study of the gut microbiota results of high relevance been necessary the development of different techniques capable of characterizing this complex ecosystem. Metaproteomics has been proved useful in the characterization of complex protein samples becoming a suitable tool for the study of these microbial communities. However, due to the complexity of these samples, protein extraction protocols may affect metaproteomics results. In this context, we evaluated stool sample processing (SSP) and microbial cell disruption, assessing the impact of different protocol modifications in the number of peptides and proteins identified. We compared different stool processing conditions and microbial cell disruption methods in terms of protein and peptide identifications and taxonomic profiles.
Project description:We used a DNA microarray chip covering 369 resistance types to investigate the relation of antibiotic resistance gene diversity with humansM-bM-^@M-^Y age. Metagenomic DNA from fecal samples of 123 healthy volunteers of four different age groups, i.e. pre-school Children (CH), School Children (SC), High School Students (HSS) and Adults (AD) were used for hybridization. The results showed that 80 different gene types were recovered from the 123 individuals gut microbiota, among which 25 were present in CH, 37 in SC, 58 in HSS and 72 in AD. Further analysis indicated that antibiotic resistance genes in groups of CH, SC and AD can be independently clustered, and those ones in group HSS are more divergent. The detailed analysis of antibiotic resistance genes in human gut is further described in the paper DNA microarray analysis reveals the antibiotic resistance gene diversity in human gut microbiota is age-related submitted to Sentific Reports The antibiotic resistance gene microarray is custom-designed (Roche NimbleGen), based on a single chip containing 3 internal replicated probe sets of 12 probes per resistance gene, covering the whole 315K 12-plex platform spots.
Project description:We used a DNA microarray chip covering 369 resistance types to investigate the relation of antibiotic resistance gene diversity with humans’ age. Metagenomic DNA from fecal samples of 123 healthy volunteers of four different age groups, i.e. pre-school Children (CH), School Children (SC), High School Students (HSS) and Adults (AD) were used for hybridization. The results showed that 80 different gene types were recovered from the 123 individuals gut microbiota, among which 25 were present in CH, 37 in SC, 58 in HSS and 72 in AD. Further analysis indicated that antibiotic resistance genes in groups of CH, SC and AD can be independently clustered, and those ones in group HSS are more divergent. The detailed analysis of antibiotic resistance genes in human gut is further described in the paper DNA microarray analysis reveals the antibiotic resistance gene diversity in human gut microbiota is age-related submitted to Sentific Reports
Project description:The link between the gut microbiota of a human being (a complex group of microorganism including not only bacteria but also fungi, viruses, etc.,) that form an ecosystem in his gastrointestinal tract and his physiological state is nowadays unquestionable. Metaproteomics has emerged as a useful technique to characterize this microbial community, not just taxonomically, but also focusing on specific biological processes carried out by gut microbiota that may have an effect in the host health or pathological state. In order to characterize this host-microbiota inter-relation, we carried out the metaproteomic study of 6 stool samples from 6 healthy adults. A total of 37 080 peptide sequences and 10 686 protein groups were identified in this study. Regarding taxonomic information, we found a total of 247 taxa among 105 were species. Interesting contributions of microbiota metabolism to human host physiology has also been described.
Project description:Ulcerative colitis (UC) is a chronic inflammatory disease of the colon, associated with gut microbiota dysbiosis. While global studies have explored this link, region-specific microbial profiles remain underreported. This pilot study aimed to characterize and compare, for the first time, the gut microbiota of Lebanese UC patients and healthy controls using 16S rRNA gene sequencing (V3–V4 region). Fecal samples from 11 UC patients and 11 healthy individuals were analyzed. Alpha and beta diversity metrics were computed, and gut microbial composition was assessed across taxonomic levels. Statistical comparisons used Mann-Whitney and Fisher’s exact tests. UC patients showed significantly reduced microbial diversity based on Faith’s Phylogenetic Diversity and Shannon index (p < 0.05), though evenness was unaffected. Beta diversity also revealed significant group-level dissimilarities (p < 0.05). At the phylum level, Bacteroidota was elevated in UC, while Bacillota and Actinomycetota were reduced. Genera such as Ruminococcus, Fusicatenibacter, Mediterraneibacter, Eubacterium, and Coprococcus were depleted in UC. Faecalibacterium, commonly reduced in UC, showed no significant difference. This first analysis of gut microbiota in Lebanese UC patients reveals a distinct microbial signature that partially diverges from global trends, supporting the need for region-specific microbiome studies and personalized microbiota-targeted therapies.
Project description:To compare the similarities and differences in species diversity of the gut microbiota between the patients with melasma and healthy subjects. The feces were collected for 16S rRNA sequencing analysis of the gut microbiota.
Project description:Fecal samples collected on day 5 from randomly selected colitic SD rats were analyzed for gut microbiota by sequencing the V4 region of the 16S rRNA gene. The orally administered Dex-P-laden NPA2 coacervate (Dex-P/NPA2) significantly restores the diversity of gut microbiota compared with colitic SD rats in the Dex-P/PBS group and the untreated colitic rats (Control).
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.