Chemometrics-aided Metabolic Fingerprint Method Applied in Bladder Cancer Stages Differentiating
ABSTRACT: Objective To establish early detection and diagnosis for bladder cancer.Methods In the current study, a metabolomics strategy was used to profile bladder cancer urine metabolites in mice and to further characterize the disease status at different stages. In addition, some chemometrics algo...
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| Format: | Article |
| Language: | English |
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KeAi Communications Co., Ltd.
2018-09-01
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| Series: | Digital Chinese Medicine |
| Online Access: | http://www.sciencedirect.com/science/article/pii/S258937771930028X |
| _version_ | 1818990483005767680 |
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| author | You QIN Lin CHEN Jian-Hua HUANG Shui-Han ZHANG Zuo-Wei XIAO |
| author_facet | You QIN Lin CHEN Jian-Hua HUANG Shui-Han ZHANG Zuo-Wei XIAO |
| author_sort | You QIN |
| collection | DOAJ |
| description | ABSTRACT: Objective To establish early detection and diagnosis for bladder cancer.Methods In the current study, a metabolomics strategy was used to profile bladder cancer urine metabolites in mice and to further characterize the disease status at different stages. In addition, some chemometrics algorithms were adopted to analyze the metabolites fingerprints, including baseline removal and retention time shift, to overcome variations in the experimental process. After processing, metabolites were qualitatively and quantitatively analyzed in each sample at different stages. Finally, a random forest algorithm was used to discriminate the differences among different groups.Results Four potential biomarkers, including glyceric acid, (R*,R*)-2,3-Dihydroxybutanoic acid, N-(1-oxohexyl)-glycine and D-Turanose, were discovered by exploring the characteristics of different groups.Conclusion These results suggest that combining chemometrics with the metabolites profile is an effective approach to aid in clinical diagnosis. Keywords: Metabolic fingerprints, Chemometrics approaches, Data analysis, Bladder cancer |
| first_indexed | 2024-12-20T19:55:05Z |
| format | Article |
| id | doaj.art-79fb1b6f3cfc4f5fab4acd667fe57df4 |
| institution | Directory Open Access Journal |
| issn | 2589-3777 |
| language | English |
| last_indexed | 2024-12-20T19:55:05Z |
| publishDate | 2018-09-01 |
| publisher | KeAi Communications Co., Ltd. |
| record_format | Article |
| series | Digital Chinese Medicine |
| spelling | doaj.art-79fb1b6f3cfc4f5fab4acd667fe57df42022-12-21T19:28:11ZengKeAi Communications Co., Ltd.Digital Chinese Medicine2589-37772018-09-0113211218Chemometrics-aided Metabolic Fingerprint Method Applied in Bladder Cancer Stages DifferentiatingYou QIN0Lin CHEN1Jian-Hua HUANG2Shui-Han ZHANG3Zuo-Wei XIAO4Hunan University of Chinese Medicine, Changsha, Hunan 410208, ChinaInstitute of Chinese Materia Medica, Hunan Academy of Chinese Medicine, Changsha, Hunan 410013, ChinaInstitute of Chinese Materia Medica, Hunan Academy of Chinese Medicine, Changsha, Hunan 410013, China; 2011 Collaboration and Innovation Center for Digital Chinese Medicine in Hunan, Changsha, Hunan 410208, ChinaHunan University of Chinese Medicine, Changsha, Hunan 410208, China; Institute of Chinese Materia Medica, Hunan Academy of Chinese Medicine, Changsha, Hunan 410013, China; 2011 Collaboration and Innovation Center for Digital Chinese Medicine in Hunan, Changsha, Hunan 410208, China; Corresponding author: Shui-Han ZHANG, Researcher. Research direction: Feature Chinese medicine resources comprehensive development and application. E-mail: zhangshuihan0220@126.com.Hunan University of Chinese Medicine, Changsha, Hunan 410208, China; Zuo-Wei XIAO, Associate Professor. Research direction: Function food development and application. E-mail: 574512660@qq.com. Peer review under the responsibility of Hunan University of Chinese Medicine.ABSTRACT: Objective To establish early detection and diagnosis for bladder cancer.Methods In the current study, a metabolomics strategy was used to profile bladder cancer urine metabolites in mice and to further characterize the disease status at different stages. In addition, some chemometrics algorithms were adopted to analyze the metabolites fingerprints, including baseline removal and retention time shift, to overcome variations in the experimental process. After processing, metabolites were qualitatively and quantitatively analyzed in each sample at different stages. Finally, a random forest algorithm was used to discriminate the differences among different groups.Results Four potential biomarkers, including glyceric acid, (R*,R*)-2,3-Dihydroxybutanoic acid, N-(1-oxohexyl)-glycine and D-Turanose, were discovered by exploring the characteristics of different groups.Conclusion These results suggest that combining chemometrics with the metabolites profile is an effective approach to aid in clinical diagnosis. Keywords: Metabolic fingerprints, Chemometrics approaches, Data analysis, Bladder cancerhttp://www.sciencedirect.com/science/article/pii/S258937771930028X |
| spellingShingle | You QIN Lin CHEN Jian-Hua HUANG Shui-Han ZHANG Zuo-Wei XIAO Chemometrics-aided Metabolic Fingerprint Method Applied in Bladder Cancer Stages Differentiating Digital Chinese Medicine |
| title | Chemometrics-aided Metabolic Fingerprint Method Applied in Bladder Cancer Stages Differentiating |
| title_full | Chemometrics-aided Metabolic Fingerprint Method Applied in Bladder Cancer Stages Differentiating |
| title_fullStr | Chemometrics-aided Metabolic Fingerprint Method Applied in Bladder Cancer Stages Differentiating |
| title_full_unstemmed | Chemometrics-aided Metabolic Fingerprint Method Applied in Bladder Cancer Stages Differentiating |
| title_short | Chemometrics-aided Metabolic Fingerprint Method Applied in Bladder Cancer Stages Differentiating |
| title_sort | chemometrics aided metabolic fingerprint method applied in bladder cancer stages differentiating |
| url | http://www.sciencedirect.com/science/article/pii/S258937771930028X |
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