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- Publisher Website: 10.1016/j.febslet.2007.01.036
- Scopus: eid_2-s2.0-33846847778
- PMID: 17274990
- WOS: WOS:000244572300021
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Article: Metabolic profiling using combined GC-MS and LC-MS provides a systems understanding of aristolochic acid-induced nephrotoxicity in rat
Title | Metabolic profiling using combined GC-MS and LC-MS provides a systems understanding of aristolochic acid-induced nephrotoxicity in rat |
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Authors | |
Keywords | Aristolochic acid Mass spectrometry Metabolic profiling Nephrotoxicity OPLSDA Pattern recognition |
Issue Date | 2007 |
Citation | FEBS Letters, 2007, v. 581, n. 4, p. 707-711 How to Cite? |
Abstract | We present here a combined GC-MS and LC-MS metabolic profiling approach to unraveling the pathological outcomes of aristolochic acid (AA)-induced nephrotoxicity. Urine samples were analyzed by GC-MS and LC-MS in combination with pattern recognition techniques, e.g. principal component analysis (PCA), orthogonal projection to latent structure-discriminant analysis. The work indicates that AA-induced acute renal toxicity as evidenced by histopathological examinations could be characterized by systemic disturbance of metabolic network involving free fatty acids generation, energy and amino acids metabolism, and alteration in the structure of gut microbiota. Therefore, this method is potentially applicable to the toxicological study, providing a comprehensive understanding of systems response to xenobiotic intervention. © 2007 Federation of European Biochemical Societies. |
Persistent Identifier | http://hdl.handle.net/10722/342305 |
ISSN | 2023 Impact Factor: 3.0 2023 SCImago Journal Rankings: 1.208 |
ISI Accession Number ID |
DC Field | Value | Language |
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dc.contributor.author | Ni, Yan | - |
dc.contributor.author | Su, Mingming | - |
dc.contributor.author | Qiu, Yunping | - |
dc.contributor.author | Chen, Minjun | - |
dc.contributor.author | Liu, Yuming | - |
dc.contributor.author | Zhao, Aihua | - |
dc.contributor.author | Jia, Wei | - |
dc.date.accessioned | 2024-04-17T07:02:50Z | - |
dc.date.available | 2024-04-17T07:02:50Z | - |
dc.date.issued | 2007 | - |
dc.identifier.citation | FEBS Letters, 2007, v. 581, n. 4, p. 707-711 | - |
dc.identifier.issn | 0014-5793 | - |
dc.identifier.uri | http://hdl.handle.net/10722/342305 | - |
dc.description.abstract | We present here a combined GC-MS and LC-MS metabolic profiling approach to unraveling the pathological outcomes of aristolochic acid (AA)-induced nephrotoxicity. Urine samples were analyzed by GC-MS and LC-MS in combination with pattern recognition techniques, e.g. principal component analysis (PCA), orthogonal projection to latent structure-discriminant analysis. The work indicates that AA-induced acute renal toxicity as evidenced by histopathological examinations could be characterized by systemic disturbance of metabolic network involving free fatty acids generation, energy and amino acids metabolism, and alteration in the structure of gut microbiota. Therefore, this method is potentially applicable to the toxicological study, providing a comprehensive understanding of systems response to xenobiotic intervention. © 2007 Federation of European Biochemical Societies. | - |
dc.language | eng | - |
dc.relation.ispartof | FEBS Letters | - |
dc.subject | Aristolochic acid | - |
dc.subject | Mass spectrometry | - |
dc.subject | Metabolic profiling | - |
dc.subject | Nephrotoxicity | - |
dc.subject | OPLSDA | - |
dc.subject | Pattern recognition | - |
dc.title | Metabolic profiling using combined GC-MS and LC-MS provides a systems understanding of aristolochic acid-induced nephrotoxicity in rat | - |
dc.type | Article | - |
dc.description.nature | link_to_subscribed_fulltext | - |
dc.identifier.doi | 10.1016/j.febslet.2007.01.036 | - |
dc.identifier.pmid | 17274990 | - |
dc.identifier.scopus | eid_2-s2.0-33846847778 | - |
dc.identifier.volume | 581 | - |
dc.identifier.issue | 4 | - |
dc.identifier.spage | 707 | - |
dc.identifier.epage | 711 | - |
dc.identifier.isi | WOS:000244572300021 | - |