Ontology highlight
ABSTRACT:
PROVIDER: PRJNA806510 | ENA |
REPOSITORIES: ENA
Dataset's files
| Action | DRS | |||
|---|---|---|---|---|
| SRR18003205_1.fastq.gz | Fastqsanger.gz | |||
| SRR18003205_2.fastq.gz | Fastqsanger.gz | |||
| SRR18003206_1.fastq.gz | Fastqsanger.gz | |||
| SRR18003206_2.fastq.gz | Fastqsanger.gz | |||
| SRR18003207_1.fastq.gz | Fastqsanger.gz |
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Project description:Metformin is the therapy of choice for treating type 2 diabetes and is currently repurposed for a wide range of diseases including aging. Recent evidence implicates the gut microbiota as a site of metformin action. Combining two tractable genetic models, the bacterium E. coli and the nematode C. elegans, we performed C. elegans RNAseq to investigate the role of the metformin sensitive OP50 and metformin resistant OP50-MR E. coli microbiota in the drug effects on the host. Our data suggest an evolutionarily conserved bacterial mediation of metformin effects on host lipid metabolism and lifespan.
2019-07-13 | E-MTAB-7272 | biostudies-arrayexpress
Project description:Research findings of the past decade have highlighted the gut as the main site of action of the oral antihyperglycemic agent metformin despite its pharmacological role in the liver. Extensive evidence supports metformin’s modulatory effect on the composition and function of gut microbiota, nevertheless, the underlying mechanisms of the host responses remain elusive. Our study aimed to evaluate metformin-induced alterations in the intestinal transcriptome profiles at different metabolic states. The high-fat diet-induced type 2 diabetes mouse model of both sexes was developed in a randomized block experiment and bulk RNA-Seq of the ileum tissue was the method of choice for comparative transcriptional profiling after metformin intervention for ten weeks. We found a prominent transcriptional effect of the diet itself with comparatively fewer genes responding to metformin intervention. The overrepresentation of immune-related genes was observed, including pronounced metformin-induced upregulation of immunoglobulin heavy-chain variable regioncoding Ighv1-7 gene in both high-fat diet and control diet-fed animals, supporting the contribution of intestinal immunoglobulin responses. Finally, we provide evidence of the downregulation NF-kappa B signaling pathway in the small intestine of both hyperglycemic and normoglycemic animals after metformin treatment. Moreover, our data pinpoint the gut microbiota as a crucial component in the metformin-mediated downregulation of NF-kappaB signaling evidenced by a positive correlation between the Rel and Rela gene expression levels and abundances of Parabacteroides distasonis, Bacteroides spp., and Lactobacillus spp. in the gut microbiota of the same animals.
2023-08-12 | GSE240206 | GEO
Project description:Finally differentiated 3T3-L1 adipocytes are treated with insulin (0 or 100nM)or metformin (0 or 2mM)for 2 and 12 hours to understand insulin and metformin(an anti-diabetic drug commonly applied for Non-Insulin Dependent Diabetes Mellitus)action in adipose tissues.
2013-01-30 | E-BAIR-8 | biostudies-arrayexpress
Project description:In previous study, patients with Diabetes Mellitus (DM) have high risk of active TB and LTBI. Here we report and compare 16S rRNA data of DM-LTBI and DM-nonLTBI in gut microbiota to identify differential candidates between the two groups. The results showed the differential genera have potential to predict the LTBI status in patients.
2023-01-18 | GSE199810 | GEO
Project description:Metformin, a biguanide agent, is the first-line treatment for type 2 diabetes mellitus due to its glucose-lowering effect. Despite its wide application in the treatment of multiple health conditions, the glycemic response to metformin is highly variable, emphasizing the need for reliable biomarkers. We chose the RNA-Seq-based comparative transcriptomics approach to evaluate the systemic effect of metformin and highlight potential predictive biomarkers of metformin response in drug-naïve type 2 diabetes patient volunteers in vivo. Longitudinal blood-derived transcriptome analysis revealed metformin-induced differential expression of novel and previously described genes involved in cholesterol homeostasis (SLC46A1 and LRP1), cancer development (CYP1B1, STAB1, CCR2, TMEM176B) and immune responses (CD14, CD163) after administration of metformin for three months. We demonstrate for the first time transcriptome-based molecular discrimination between metformin responders (delta HbA1c ≥ 1% or 12.6 mmol/mol) and non-responders (delta HbA1c < 1% or 12.6 mmol/mol) determined by expression levels of 56 genes, explaining 13.9% of the variance in the therapeutic efficacy of the drug. Moreover, we found a significant upregulation of IRS2 gene (log2FC 0.89) in responders compared to non-responders before the use of metformin. Finally, we provide evidence for the mitochondrial respiratory complex I as one of the factors related to the high variability of the therapeutic response to metforminin patients with type 2 diabetes mellitus.
2020-07-05 | GSE153792 | GEO
Project description:In vitro gut microbiota models are often used to study drug-microbiome interaction. Similar to culturing individual microbial strains, the biomass accumulation of in vitro gut microbiota follows a logistic growth curve. Current studies on in vitro gut microbiome responses introduce drug stimulation during different growth stages, e.g. lag phase or stationary phase. However, in vitro gut microbiota in different growth phases may respond differently to a same stimuli. Therefore, in this study, we used a 96-deep well plate-based culturing model (MiPro) to culture the human gut microbiota. Metformin, as the stimulus, was added at the lag, log and stationary phases of growth. Microbiome samples were collected at different time points for optical density and metaproteomic functional analysis. Results show that in vitro gut microbiota responded differently to metformin added during different growth phases, in terms of the growth curve, alterations of taxonomic and functional compositions. The addition of drugs at log phase leads to the greatest decline of bacterial growth. Metaproteomic analysis suggested that the strength of the metformin effect on the gut microbiome functional profile was ranked as lag phase > log phase > stationary phase. Our results showed that metformin added at lag phase resulted in a significantly reduced abundance of the Clostridiales order as well as an increased abundance of the Bacteroides genus, which was different from stimulation during the rest of the growth phase. Metformin also resulted in alterations of several pathways, including energy production and conversion, lipid transport and metabolism, translation, ribosomal structure and biogenesis. Our results indicate that the timing for drug stimulation should be considered when studying drug-microbiome interactions in vitro.
2022-03-01 | PXD017390 | Pride
Project description:Background: The long-term high-fat, high-sugar diet exacerbates type 2 diabetes mellitus (T2DM)-related cognitive impairments. The negative impact of poor dietary patterns on brain development and neurological function may be related to gut microbiota disturbance. The role of phlorizin in mitigating glucose and lipid metabolism disorders is well documented. However, the protective effect of phlorizin on diabetes-related cognitive dysfunction is unclear. Therefore, the present study aimed to investigate the effect of dietary supplementation of phlorizin on high-fat and high-fructose diet (HFFD)-induced cognitive dysfunction and evaluate the crucial role of the microbiota-gut-brain axis. Results: Dietary supplementation of phlorizin for 14 weeks effectively prevented glucolipid metabolism disorder, spatial learning impairment, and memory impairment in HFFD mice. In addition, phlorizin improved the HFFD-induced decrease in synaptic plasticity, neuroinflammation, and excessive activation of microglia in the hippocampus. Transcriptomics analysis shows that the protective effect of phlorizin on cognitive impairment was associated with increased expression of neurotransmitters and synapse-related genes in the hippocampus. Phlorizin treatment alleviated colon microbiota disturbance, mainly manifested by an increase in gut microbiota diversity and the abundance of short-chain fatty acid (SCFA)-producing bacteria. The level of microbial metabolites, including SCFA, inosine 5'-monophosphate (IMP), and D (-)-beta-hydroxybutyric acid (BHB) were also significantly increased after phlorizin treatment. Moreover, integrating multiomics analysis observed tight connections between phlorizin-regulated genes, microbiota, and metabolites. Furthermore, removal of the gut microbiota via antibiotics treatment diminished the protective effect of phlorizin against HFFD-induced cognitive impairment, underscoring the critical role of the gut microbiota in mediating cognitive behavior. Importantly, supplementation with SCFA and BHB alone mimicked the regulatory effects of phlorizin on cognitive function. Conclusions: These results indicate that gut microbiota and their metabolites mediate the ameliorative effect of phlorizin on HFFD-induced cognitive impairment. Therefore, phlorizin can be used as an easy-to-implement nutritional therapy to prevent and alleviate metabolism-related neurodegenerative diseases by targeting the regulation of the microbiome-gut-brain axis.
2024-03-20 | GSE261887 | GEO