GNPS Hyperglycemic Gut Antibiotic Resilience
Ontology highlight
ABSTRACT:
INSTRUMENT(S): Q Exactive
ORGANISM(S): C57bl/6j Mice
SUBMITTER: 
Peter Belenky Jenna Wurster Douglas Guzior Robert Quinn
PROVIDER: MSV000087093 | GNPS | Thu Mar 25 07:46:00 GMT 2021
REPOSITORIES: GNPS
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Project description:Recent evidence suggests an important role of the gut microbiome in early life on immune cell entraining. Using two independent transgenic (Tg) lines of Alzheimer’s disease, we have demonstrated that life-long antibiotic (ABX)-perturbation of the gut microbiome is associated with reduced amyloid beta (Ab) plaque pathology and microglial phenotypes in male mice. Furthermore, fecal microbiota transfer (FMT) from age-matched APPPS1-21 Tg mice into long-term ABX-treated male APPPS1-21 mice partially restored amyloidosis and microgliosis, thus establishing causality. in the current studies, we planned to investigate the transcriptome profiles in APPPS1-21 mice treated with short-term abx (PND14-21) compared with vehicle treated groups in genotype-, sex- and time -dependent manner. Most importantly, we also investigated if fecal microbiota transplants from age-matched Tg male mice into short-term abx (PND14-21)-treated male mice restores brain transcriptomes to that of obsreved in vehicle-treated male mice at 9 weeks of age.
2021-10-25 | GSE185407 | GEO
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.
2014-01-16 | E-GEOD-54070 | biostudies-arrayexpress
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
2014-01-16 | GSE54070 | GEO
Project description:We demonstrated that a maternal antibiotic treatment can change intestinal development of the offspring piglets permanently by showing that maternal gestational antibiotic treatment affects intestinal development in offspring piglets for a period of at least seven weeks after the antibiotic treatment in the sows was finished. It was shown that immediately after birth the piglets from amoxicillin treated sows, showed upregulation of genes involved in processes related to ‘tight junctions’ and ‘immunoglobulins’. In addition, these piglets had significantly lower number of goblet cells. Together, this may lead to a gut wall that is more rapidly closed in piglets from amoxicillin treated sows, affecting the uptake of immunoglobulins and the intestinal development. Later in life, around weaning, gene expression and morphological data indicate that the crypts of piglets from amoxicillin treated sows deepen around weaning as an effect of the amoxicillin treatment which in combination with the upregulation of genes involved in cell cycle processes, ribosomal activity and protein degradation might imply that the intestinal development, the subsequent differentiation of cells or the timing of these processes was delayed by the maternal antibiotic treatment.
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2018-11-01 | GSE104871 | GEO
Project description:We used 16S V3/V4 region amplification to evaluate the composition of bacteria species in mouse fecal pellets. Fecel pellets were collected from young-adult (12 weeks old) wild type C57Bl/6 mice and aged (72 weeks old) wild type C57Bl/6 mice after 21 days of vehicle or antibiotics treatment (to induce gut microbiota depletion). In one sequencing round, we sequenced a total of 12 different fecal samples (3 young control, 3 aged control, 3 young depleted gut microbiota (ABX) and 3 aged depleted gut microbiota (ABX)). Amplicons were indexed using the Nextera XT Index Kit and pooled into a library for Illumina sequencing.
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Project description:We used 16S V3/V4 region amplification to evaluate the composition of bacteria species in mouse fecal pellets after vehicle or ABX treatment and before and after fecal matter transplant.
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Project description:Tan2012 - Antibiotic Treatment, Inoculum Effect
The efficacy of many antibiotics decreases with increasing bacterial density, a phenomenon called the ‘inoculum effect’ (IE). This study reveals that, for ribosome-targeting antibiotics, IE is due to bistable inhibition of bacterial growth, which reduces the efficacy of certain treatment frequencies.
This model is described in the article:
The inoculum effect and band-pass bacterial response to periodic antibiotic treatment.
Tan C, Phillip Smith R, Srimani JK, Riccione KA, Prasada S, Kuehn M, You L.
Mol Syst Biol. 2012 Oct 9; 8:617
Abstract:
The inoculum effect (IE) refers to the decreasing efficacy of an antibiotic with increasing bacterial density. It represents a unique strategy of antibiotic tolerance and it can complicate design of effective antibiotic treatment of bacterial infections. To gain insight into this phenomenon, we have analyzed responses of a lab strain of Escherichia coli to antibiotics that target the ribosome. We show that the IE can be explained by bistable inhibition of bacterial growth. A critical requirement for this bistability is sufficiently fast degradation of ribosomes, which can result from antibiotic-induced heat-shock response. Furthermore, antibiotics that elicit the IE can lead to 'band-pass' response of bacterial growth to periodic antibiotic treatment: the treatment efficacy drastically diminishes at intermediate frequencies of treatment. Our proposed mechanism for the IE may be generally applicable to other bacterial species treated with antibiotics targeting the ribosomes.
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2024-09-02 | BIOMD0000000425 | BioModels
Project description:Comparison between splenic naïve CD4 T cells from antibiotic treated and non-treated C57BL/6 mice 8-10 weeks after birth. The antibiotic treatement occurred for the first 3 weeks of life until weaning.
2016-12-13 | GSE92282 | GEO
Project description:Purpose: This study aims to compare and analyze the differences in bacterial community composition in fecal samples from mice treated with Control(DW), Vancomycin (VAN), Ampicillin (AMP), Neomycin (NEO), Metronidazole (MET), and a combination of all antibiotics (ALL, VANM) using 16S rRNA sequencing. Methods: Each antibiotics treated mice's fecal samples were collected and stored -80'c until analyzation. DNA was extracted using the NucleoSpin DNA Stool Kit (MACHEREY-NAGEL) following the manufacturer’s protocol. Metagenomic sequencing was performed on an Illumina MiSeq platform (Illumina), targeting the V3 and V4 regions of the 16S rRNA gene according to the manufacturer's instructions. PCR products were purified using AMPure XP beads, and sequencing adapters were added using the Nextera XT Index Kit (Illumina). The library was further purified with AMPure XP beads and quantified using automated electrophoresis with the TapeStation System (Agilent). Sequencing was performed using the MiSeq v3 reagent kit (Illumina), following the manufacturer’s protocol. Results: QIIME2 (v2023.02) was used to process and analyze 16S rRNA gene amplicon sequencing data, from sequence preprocessing to taxonomic classification. Paired-end sequences were merged and quality-filtered using Deblur. The resulting amplicon sequence variants (ASVs) were used for downstream analyses. Conclusions: Our study presents a comparative analysis of bacterial community composition in fecal samples from antibiotic-treated mice. We observed that microbiota composition varied distinctly depending on the type of antibiotic administered.
2026-01-28 | GSE291841 | GEO