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Identification of potential plasma biomarkers and metabolic dysfunction for unstable angina pectoris and its complication based on global metabolomics
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| Zeitschriftentitel: | Bioscience Reports |
|---|---|
| Personen und Körperschaften: | , , , , , , , , , , , |
| In: | Bioscience Reports, 39, 2019, 3 |
| Format: | E-Article |
| Sprache: | Englisch |
| veröffentlicht: |
Portland Press Ltd.
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| Schlagwörter: |
| author_facet |
Wang, Juan Xu, Wenjuan Zhao, Huihui Chen, Jianxin Zhu, Bin Li, Xueli Deng, Dong Wang, Jinping Liu, Junjie Yu, Yingting Xiao, Hongbin Wang, Wei Wang, Juan Xu, Wenjuan Zhao, Huihui Chen, Jianxin Zhu, Bin Li, Xueli Deng, Dong Wang, Jinping Liu, Junjie Yu, Yingting Xiao, Hongbin Wang, Wei |
|---|---|
| author |
Wang, Juan Xu, Wenjuan Zhao, Huihui Chen, Jianxin Zhu, Bin Li, Xueli Deng, Dong Wang, Jinping Liu, Junjie Yu, Yingting Xiao, Hongbin Wang, Wei |
| spellingShingle |
Wang, Juan Xu, Wenjuan Zhao, Huihui Chen, Jianxin Zhu, Bin Li, Xueli Deng, Dong Wang, Jinping Liu, Junjie Yu, Yingting Xiao, Hongbin Wang, Wei Bioscience Reports Identification of potential plasma biomarkers and metabolic dysfunction for unstable angina pectoris and its complication based on global metabolomics Cell Biology Molecular Biology Biochemistry Biophysics |
| author_sort |
wang, juan |
| spelling |
Wang, Juan Xu, Wenjuan Zhao, Huihui Chen, Jianxin Zhu, Bin Li, Xueli Deng, Dong Wang, Jinping Liu, Junjie Yu, Yingting Xiao, Hongbin Wang, Wei 0144-8463 1573-4935 Portland Press Ltd. Cell Biology Molecular Biology Biochemistry Biophysics http://dx.doi.org/10.1042/bsr20181658 <jats:title>Abstract</jats:title> <jats:p>Unstable angina pectoris (UA) is one of the most dangerous clinical symptoms of acute coronary syndrome due to the risk of myocardial ischemia, which can lead to high morbidity and mortality worldwide. Though there are many advantages in understanding the pathophysiology of UA, the identification of biomarkers for the diagnosis, prognosis, and treatment of UA remains a challenge in the clinic. A global metabolomics research based on ultra-performance liquid chromatography (UPLC) combined with Q-TOF/MS was performed to discover the metabolic profile of health controls, UA patients, and UA patients with diabetes mellitus (DM), and screen for potential biomarkers. Twenty-seven potential biomarkers were determined using pattern recognition. These biomarkers, which include free fatty acids, amino acids, lysoPE and lysoPC species, and organic acids, can benefit the clinical diagnosis of UA. Pathway analysis indicated that arginine and proline metabolism, glycerophospholipid metabolism, and purine metabolism were affected in the UA patients, uniquely. Additionally, alterations in the metabolic signatures between UA and UA-complicated DM were also explored. As a result, six differential metabolites with an area under the curve (AUC) of more than 0.85 were identified as biomarkers for the diagnosis of UA and UA complicated with DM. Pathway analysis implied tryptophan metabolism was a key metabolic pathway in UA patients with DM, which provides new insights into the pathological study and drug discovery of UA.</jats:p> Identification of potential plasma biomarkers and metabolic dysfunction for unstable angina pectoris and its complication based on global metabolomics Bioscience Reports |
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| title |
Identification of potential plasma biomarkers and metabolic dysfunction for unstable angina pectoris and its complication based on global metabolomics |
| title_unstemmed |
Identification of potential plasma biomarkers and metabolic dysfunction for unstable angina pectoris and its complication based on global metabolomics |
| title_full |
Identification of potential plasma biomarkers and metabolic dysfunction for unstable angina pectoris and its complication based on global metabolomics |
| title_fullStr |
Identification of potential plasma biomarkers and metabolic dysfunction for unstable angina pectoris and its complication based on global metabolomics |
| title_full_unstemmed |
Identification of potential plasma biomarkers and metabolic dysfunction for unstable angina pectoris and its complication based on global metabolomics |
| title_short |
Identification of potential plasma biomarkers and metabolic dysfunction for unstable angina pectoris and its complication based on global metabolomics |
| title_sort |
identification of potential plasma biomarkers and metabolic dysfunction for unstable angina pectoris and its complication based on global metabolomics |
| topic |
Cell Biology Molecular Biology Biochemistry Biophysics |
| url |
http://dx.doi.org/10.1042/bsr20181658 |
| publishDate |
2019 |
| physical |
|
| description |
<jats:title>Abstract</jats:title>
<jats:p>Unstable angina pectoris (UA) is one of the most dangerous clinical symptoms of acute coronary syndrome due to the risk of myocardial ischemia, which can lead to high morbidity and mortality worldwide. Though there are many advantages in understanding the pathophysiology of UA, the identification of biomarkers for the diagnosis, prognosis, and treatment of UA remains a challenge in the clinic. A global metabolomics research based on ultra-performance liquid chromatography (UPLC) combined with Q-TOF/MS was performed to discover the metabolic profile of health controls, UA patients, and UA patients with diabetes mellitus (DM), and screen for potential biomarkers. Twenty-seven potential biomarkers were determined using pattern recognition. These biomarkers, which include free fatty acids, amino acids, lysoPE and lysoPC species, and organic acids, can benefit the clinical diagnosis of UA. Pathway analysis indicated that arginine and proline metabolism, glycerophospholipid metabolism, and purine metabolism were affected in the UA patients, uniquely. Additionally, alterations in the metabolic signatures between UA and UA-complicated DM were also explored. As a result, six differential metabolites with an area under the curve (AUC) of more than 0.85 were identified as biomarkers for the diagnosis of UA and UA complicated with DM. Pathway analysis implied tryptophan metabolism was a key metabolic pathway in UA patients with DM, which provides new insights into the pathological study and drug discovery of UA.</jats:p> |
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| author | Wang, Juan, Xu, Wenjuan, Zhao, Huihui, Chen, Jianxin, Zhu, Bin, Li, Xueli, Deng, Dong, Wang, Jinping, Liu, Junjie, Yu, Yingting, Xiao, Hongbin, Wang, Wei |
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| description | <jats:title>Abstract</jats:title> <jats:p>Unstable angina pectoris (UA) is one of the most dangerous clinical symptoms of acute coronary syndrome due to the risk of myocardial ischemia, which can lead to high morbidity and mortality worldwide. Though there are many advantages in understanding the pathophysiology of UA, the identification of biomarkers for the diagnosis, prognosis, and treatment of UA remains a challenge in the clinic. A global metabolomics research based on ultra-performance liquid chromatography (UPLC) combined with Q-TOF/MS was performed to discover the metabolic profile of health controls, UA patients, and UA patients with diabetes mellitus (DM), and screen for potential biomarkers. Twenty-seven potential biomarkers were determined using pattern recognition. These biomarkers, which include free fatty acids, amino acids, lysoPE and lysoPC species, and organic acids, can benefit the clinical diagnosis of UA. Pathway analysis indicated that arginine and proline metabolism, glycerophospholipid metabolism, and purine metabolism were affected in the UA patients, uniquely. Additionally, alterations in the metabolic signatures between UA and UA-complicated DM were also explored. As a result, six differential metabolites with an area under the curve (AUC) of more than 0.85 were identified as biomarkers for the diagnosis of UA and UA complicated with DM. Pathway analysis implied tryptophan metabolism was a key metabolic pathway in UA patients with DM, which provides new insights into the pathological study and drug discovery of UA.</jats:p> |
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| spelling | Wang, Juan Xu, Wenjuan Zhao, Huihui Chen, Jianxin Zhu, Bin Li, Xueli Deng, Dong Wang, Jinping Liu, Junjie Yu, Yingting Xiao, Hongbin Wang, Wei 0144-8463 1573-4935 Portland Press Ltd. Cell Biology Molecular Biology Biochemistry Biophysics http://dx.doi.org/10.1042/bsr20181658 <jats:title>Abstract</jats:title> <jats:p>Unstable angina pectoris (UA) is one of the most dangerous clinical symptoms of acute coronary syndrome due to the risk of myocardial ischemia, which can lead to high morbidity and mortality worldwide. Though there are many advantages in understanding the pathophysiology of UA, the identification of biomarkers for the diagnosis, prognosis, and treatment of UA remains a challenge in the clinic. A global metabolomics research based on ultra-performance liquid chromatography (UPLC) combined with Q-TOF/MS was performed to discover the metabolic profile of health controls, UA patients, and UA patients with diabetes mellitus (DM), and screen for potential biomarkers. Twenty-seven potential biomarkers were determined using pattern recognition. These biomarkers, which include free fatty acids, amino acids, lysoPE and lysoPC species, and organic acids, can benefit the clinical diagnosis of UA. Pathway analysis indicated that arginine and proline metabolism, glycerophospholipid metabolism, and purine metabolism were affected in the UA patients, uniquely. Additionally, alterations in the metabolic signatures between UA and UA-complicated DM were also explored. As a result, six differential metabolites with an area under the curve (AUC) of more than 0.85 were identified as biomarkers for the diagnosis of UA and UA complicated with DM. Pathway analysis implied tryptophan metabolism was a key metabolic pathway in UA patients with DM, which provides new insights into the pathological study and drug discovery of UA.</jats:p> Identification of potential plasma biomarkers and metabolic dysfunction for unstable angina pectoris and its complication based on global metabolomics Bioscience Reports |
| spellingShingle | Wang, Juan, Xu, Wenjuan, Zhao, Huihui, Chen, Jianxin, Zhu, Bin, Li, Xueli, Deng, Dong, Wang, Jinping, Liu, Junjie, Yu, Yingting, Xiao, Hongbin, Wang, Wei, Bioscience Reports, Identification of potential plasma biomarkers and metabolic dysfunction for unstable angina pectoris and its complication based on global metabolomics, Cell Biology, Molecular Biology, Biochemistry, Biophysics |
| title | Identification of potential plasma biomarkers and metabolic dysfunction for unstable angina pectoris and its complication based on global metabolomics |
| title_full | Identification of potential plasma biomarkers and metabolic dysfunction for unstable angina pectoris and its complication based on global metabolomics |
| title_fullStr | Identification of potential plasma biomarkers and metabolic dysfunction for unstable angina pectoris and its complication based on global metabolomics |
| title_full_unstemmed | Identification of potential plasma biomarkers and metabolic dysfunction for unstable angina pectoris and its complication based on global metabolomics |
| title_short | Identification of potential plasma biomarkers and metabolic dysfunction for unstable angina pectoris and its complication based on global metabolomics |
| title_sort | identification of potential plasma biomarkers and metabolic dysfunction for unstable angina pectoris and its complication based on global metabolomics |
| title_unstemmed | Identification of potential plasma biomarkers and metabolic dysfunction for unstable angina pectoris and its complication based on global metabolomics |
| topic | Cell Biology, Molecular Biology, Biochemistry, Biophysics |
| url | http://dx.doi.org/10.1042/bsr20181658 |