Evaluating the Transcriptomic and Metabolic Profile of Mice Exposed to Source Drinking Water

Zhang, Yan; Zhang, Xuxiang; Wu, Bing; Cheng, Shengfeng

doi:10.1021/es201369x

Cited by 26 publications

(18 citation statements)

References 52 publications

(84 reference statements)

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“…The 550 lL supernatants were transferred into NMR glass tubes. The metabolites extracted were analyzed by a Bruker AV600 spectrometer (Bruker Co., Germany) (Zhang et al 2012). …”

Section: Metabonomic Analysismentioning

confidence: 99%

Metagenomic insights into tetracycline effects on microbial community and antibiotic resistance of mouse gut

Yin

Zhang

et al. 2015

Ecotoxicology

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Antibiotics have been widely used for disease prevention and treatment of the human and animals, and for growth promotion in animal husbandry. Antibiotics can disturb the intestinal microbial community, which play a fundamental role in animals' health. Misuse or overuse of antibiotics can result in increase and spread of microbial antibiotic resistance, threatening human health and ecological safety. In this study, we used Illumina Hiseq sequencing, (1)H nuclear magnetic resonance spectroscopy and metagenomics approaches to investigate intestinal microbial community shift and antibiotic resistance alteration of the mice drinking the water containing tetracycline hydrochloride (TET). Two-week TET administration caused reduction of gut microbial diversity (from 194 to 89 genera), increase in Firmicutes abundance (from 24.9 to 39.8%) and decrease in Bacteroidetes abundance (from 69.8 to 51.2%). Metagenomic analysis showed that TET treatment affected the intestinal microbial functions of carbohydrate, ribosomal, cell wall/membrane/envelope and signal transduction, which is evidenced by the alteration in the metabolites of mouse serum. Meanwhile, in the mouse intestinal microbiota, TET treatment enhanced the abundance of antibiotic resistance genes (ARGs) (from 307.3 to 1492.7 ppm), plasmids (from 425.4 to 3235.1 ppm) and integrons (from 0.8 to 179.6 ppm) in mouse gut. Our results indicated that TET administration can disturb gut microbial community and physiological metabolism of mice, and increase the opportunity of ARGs and mobile genetic elements entering into the environment with feces discharge.

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“…The 550 lL supernatants were transferred into NMR glass tubes. The metabolites extracted were analyzed by a Bruker AV600 spectrometer (Bruker Co., Germany) (Zhang et al 2012). …”

Section: Metabonomic Analysismentioning

confidence: 99%

Metagenomic insights into tetracycline effects on microbial community and antibiotic resistance of mouse gut

Yin

Zhang

et al. 2015

Ecotoxicology

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“…Furthermore, combination of different -omics approaches, such as transcriptomic or proteomics with metabolomic, serves to create a more comprehensive picture of the changes associated to diseases or unsalubrious conditions, to better understand and therefore to treat them, and to pinpoint putative biomarkers. 29,[35][36][37][38][39][40][41][42][43] Here we have analyzed the metabolomic changes induced in the retina at two time points after IONC, early after the lesion when pro-death signals are overexpressed but the anatomical loss of RGCs is not yet observed, and late after the lesion when the acute wave of RGC death has finished. …”

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confidence: 99%

Metabolomic Changes in the Rat Retina After Optic Nerve Crush

Agudo‐Barriuso

Lahoz

Nadal-Nicolás

et al. 2013

Invest. Ophthalmol. Vis. Sci.

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Citation: Agudo-Barriuso M, Lahoz A, Nadal-Nicolás FM, et al. Metabolomic changes in the rat retina after optic nerve crush. Invest Ophthalmol Vis Sci. 2013;54:4249-4259. DOI:10.1167/iovs.12-11451 PURPOSE. To identify metabolic pathways and metabolites affected by optic nerve crush that can act as predictors of the disease or therapeutic targets. METHODS.The left optic nerve of adult rats was intraorbitally crushed and retinas were dissected 24 hours or 14 days after the lesion (n ¼ 10 per group). Metabolic profiling analysis was carried out by Metabolon, Inc. A total of 195 metabolites were unambiguously detected. Data were normalized and the regulated metabolites were identified after comparing the different conditions. Metabolite concentration changes were analyzed using single and multivariate statistical analysis to detect discriminatory metabolites. Functional clustering and meta-analysis of the regulated metabolites was run through the Metacore platform. RESULTS.Comparison of 24 hours versus control, 14 days versus control samples, and 24 hours versus 14 days identified 9, 19, and 32 regulated metabolites, respectively. Single and multivariate analysis identified a total of 27 and 36 metabolites to discriminate between control and 14 days and between 24 hours and 14 days, respectively. Enrichment analysis showed alterations in the amino acid, carbohydrate, and lipid metabolism, which were further linked to translation, oxidative stress, energy (glucose and tricarboxylic acid cycle), and apoptosis through ceramide pathways.CONCLUSIONS. Our analysis differentiates a set of metabolites that clearly discriminate control and early-injury samples from late-injury samples. These metabolites could have potential use as diagnostic molecules.

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“…Hepatic RNA sample of each mouse was extracted and cleaned as previously described. 21 Nine mice per sample group were randomly divided into three sets (three mice per set), and an equal amount of RNA from mice in the same set was pooled into one single sample to eliminate individual differences within group. Three GeneChip Mouse Exon 1.0 ST arrays (Affymetrix, USA) were applied for each group.…”

Section: ■ Materials and Methodsmentioning

confidence: 99%

“…21 All transcriptomic data are publicly available at NCBI's Gene Expression Omnibus (Acession Number: GSE48467). Validation of the transcriptomic profiles was conducted using real-time quantitative polymerase chain reaction (RT-QPCR) analyses with five target genes, including Ssty1, Serpina1d, Cyp51, Cox5a and Akt2.…”

Section: ■ Materials and Methodsmentioning

confidence: 99%

Evaluation of the Toxic Effects of Municipal Wastewater Effluent on Mice Using Omic Approaches

Zhang

Huang

Deng

et al. 2013

Environ. Sci. Technol.

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Municipal wastewater effluents (MWWE) contain a lot of trace organic pollutants, which will be a threat to environmental health. However, little information is available for the mixed toxicity of MWWE on mammals. In the present study, male mice were exposed to MWWE for 90 days, and then, histopathology and clinical biochemistry determination and transcriptomic and metabolomic profiling were conducted. The results showed that MWWE exposure resulted in injuries in liver and kidney. Combined transcriptomic and metabolomic data demonstrated that MWWE exposure induced perturbations of metabolism, including lipid, nucleotide, amino acid, and energy metabolism. Furthermore, dysregulation of signal transduction processes were also identified based on differentially expressed genes. These results suggested that chronic exposure to MWWE could induce hepatotoxicity and nephrotoxicity in mice and omic approaches are of practical value to evaluate the complex toxicity of MWWE.

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Evaluating the Transcriptomic and Metabolic Profile of Mice Exposed to Source Drinking Water

Cited by 26 publications

References 52 publications

Metagenomic insights into tetracycline effects on microbial community and antibiotic resistance of mouse gut

Metagenomic insights into tetracycline effects on microbial community and antibiotic resistance of mouse gut

Metabolomic Changes in the Rat Retina After Optic Nerve Crush

Evaluation of the Toxic Effects of Municipal Wastewater Effluent on Mice Using Omic Approaches

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