Cargando…
Metabolomics Analysis as a Tool to Measure Cobalt Neurotoxicity: An In Vitro Validation
In this study, cobalt neurotoxicity was investigated in human astrocytoma and neuroblastoma (SH-SY5Y) cells using proliferation assays coupled with LC–MS-based metabolomics and transcriptomics techniques. Cells were treated with a range of cobalt concentrations between 0 and 200 µM. The 3-(4,5-dimet...
Autores principales: | , , , , , , , |
---|---|
Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
MDPI
2023
|
Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10302852/ https://www.ncbi.nlm.nih.gov/pubmed/37367855 http://dx.doi.org/10.3390/metabo13060698 |
_version_ | 1785065140738064384 |
---|---|
author | Alanazi, Ibrahim M. R. Alzahrani, Abdullah Zughaibi, Torki A. Al-Asmari, Ahmed I. Tabrez, Shams Henderson, Catherine Watson, David Grant, Mary Helen |
author_facet | Alanazi, Ibrahim M. R. Alzahrani, Abdullah Zughaibi, Torki A. Al-Asmari, Ahmed I. Tabrez, Shams Henderson, Catherine Watson, David Grant, Mary Helen |
author_sort | Alanazi, Ibrahim M. |
collection | PubMed |
description | In this study, cobalt neurotoxicity was investigated in human astrocytoma and neuroblastoma (SH-SY5Y) cells using proliferation assays coupled with LC–MS-based metabolomics and transcriptomics techniques. Cells were treated with a range of cobalt concentrations between 0 and 200 µM. The 3-(4,5-dimethylthiazol-2-yl)-2,5-diphenyltetrazolium bromide (MTT) assay revealed cobalt cytotoxicity and decreased cell metabolism in a dose and time-dependent manner was observed by metabolomics analysis, in both cell lines. Metabolomic analysis also revealed several altered metabolites particularly those related to DNA deamination and methylation pathways. One of the increased metabolites was uracil which can be generated from DNA deamination or fragmentation of RNA. To investigate the origin of uracil, genomic DNA was isolated and analyzed by LC–MS. Interestingly, the source of uracil, which is uridine, increased significantly in the DNA of both cell lines. Additionally, the results of the qRT-PCR showed an increase in the expression of five genes Mlh1, Sirt2, MeCP2, UNG, and TDG in both cell lines. These genes are related to DNA strand breakage, hypoxia, methylation, and base excision repair. Overall, metabolomic analysis helped reveal the changes induced by cobalt in human neuronal-derived cell lines. These findings could unravel the effect of cobalt on the human brain. |
format | Online Article Text |
id | pubmed-10302852 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2023 |
publisher | MDPI |
record_format | MEDLINE/PubMed |
spelling | pubmed-103028522023-06-29 Metabolomics Analysis as a Tool to Measure Cobalt Neurotoxicity: An In Vitro Validation Alanazi, Ibrahim M. R. Alzahrani, Abdullah Zughaibi, Torki A. Al-Asmari, Ahmed I. Tabrez, Shams Henderson, Catherine Watson, David Grant, Mary Helen Metabolites Article In this study, cobalt neurotoxicity was investigated in human astrocytoma and neuroblastoma (SH-SY5Y) cells using proliferation assays coupled with LC–MS-based metabolomics and transcriptomics techniques. Cells were treated with a range of cobalt concentrations between 0 and 200 µM. The 3-(4,5-dimethylthiazol-2-yl)-2,5-diphenyltetrazolium bromide (MTT) assay revealed cobalt cytotoxicity and decreased cell metabolism in a dose and time-dependent manner was observed by metabolomics analysis, in both cell lines. Metabolomic analysis also revealed several altered metabolites particularly those related to DNA deamination and methylation pathways. One of the increased metabolites was uracil which can be generated from DNA deamination or fragmentation of RNA. To investigate the origin of uracil, genomic DNA was isolated and analyzed by LC–MS. Interestingly, the source of uracil, which is uridine, increased significantly in the DNA of both cell lines. Additionally, the results of the qRT-PCR showed an increase in the expression of five genes Mlh1, Sirt2, MeCP2, UNG, and TDG in both cell lines. These genes are related to DNA strand breakage, hypoxia, methylation, and base excision repair. Overall, metabolomic analysis helped reveal the changes induced by cobalt in human neuronal-derived cell lines. These findings could unravel the effect of cobalt on the human brain. MDPI 2023-05-27 /pmc/articles/PMC10302852/ /pubmed/37367855 http://dx.doi.org/10.3390/metabo13060698 Text en © 2023 by the authors. https://creativecommons.org/licenses/by/4.0/Licensee MDPI, Basel, Switzerland. This article is an open access article distributed under the terms and conditions of the Creative Commons Attribution (CC BY) license (https://creativecommons.org/licenses/by/4.0/). |
spellingShingle | Article Alanazi, Ibrahim M. R. Alzahrani, Abdullah Zughaibi, Torki A. Al-Asmari, Ahmed I. Tabrez, Shams Henderson, Catherine Watson, David Grant, Mary Helen Metabolomics Analysis as a Tool to Measure Cobalt Neurotoxicity: An In Vitro Validation |
title | Metabolomics Analysis as a Tool to Measure Cobalt Neurotoxicity: An In Vitro Validation |
title_full | Metabolomics Analysis as a Tool to Measure Cobalt Neurotoxicity: An In Vitro Validation |
title_fullStr | Metabolomics Analysis as a Tool to Measure Cobalt Neurotoxicity: An In Vitro Validation |
title_full_unstemmed | Metabolomics Analysis as a Tool to Measure Cobalt Neurotoxicity: An In Vitro Validation |
title_short | Metabolomics Analysis as a Tool to Measure Cobalt Neurotoxicity: An In Vitro Validation |
title_sort | metabolomics analysis as a tool to measure cobalt neurotoxicity: an in vitro validation |
topic | Article |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10302852/ https://www.ncbi.nlm.nih.gov/pubmed/37367855 http://dx.doi.org/10.3390/metabo13060698 |
work_keys_str_mv | AT alanaziibrahimm metabolomicsanalysisasatooltomeasurecobaltneurotoxicityaninvitrovalidation AT ralzahraniabdullah metabolomicsanalysisasatooltomeasurecobaltneurotoxicityaninvitrovalidation AT zughaibitorkia metabolomicsanalysisasatooltomeasurecobaltneurotoxicityaninvitrovalidation AT alasmariahmedi metabolomicsanalysisasatooltomeasurecobaltneurotoxicityaninvitrovalidation AT tabrezshams metabolomicsanalysisasatooltomeasurecobaltneurotoxicityaninvitrovalidation AT hendersoncatherine metabolomicsanalysisasatooltomeasurecobaltneurotoxicityaninvitrovalidation AT watsondavid metabolomicsanalysisasatooltomeasurecobaltneurotoxicityaninvitrovalidation AT grantmaryhelen metabolomicsanalysisasatooltomeasurecobaltneurotoxicityaninvitrovalidation |