Intelligent Identification of Cerebrospinal Fluid for the Diagnosis of Parkinson’s Disease
Cerebrospinal fluid (CSF) biomarkers are more sensitive than the Movement Disorder Society (MDS) criteria for detecting prodromal Parkinson’s disease (PD). Early detection of PD provides the best chance for successful implementation of disease-modifying treatments, making it crucial to effectively i...
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| Published in | Analytical chemistry (Washington) Vol. 96; no. 6; pp. 2534 - 2542 |
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| Main Authors | , , , , , , , , , , , , , |
| Format | Journal Article |
| Language | English |
| Published |
United States
American Chemical Society
13.02.2024
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| Subjects | |
| Online Access | Get full text |
| ISSN | 0003-2700 1520-6882 1520-6882 |
| DOI | 10.1021/acs.analchem.3c04849 |
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| Abstract | Cerebrospinal fluid (CSF) biomarkers are more sensitive than the Movement Disorder Society (MDS) criteria for detecting prodromal Parkinson’s disease (PD). Early detection of PD provides the best chance for successful implementation of disease-modifying treatments, making it crucial to effectively identify CSF extracted from PD patients or normal individuals. In this study, an intelligent sensor array was built by using three metal–organic frameworks (MOFs) that exhibited varying catalytic kinetics after reacting with potential protein markers. Machine learning algorithms were used to process fingerprint response patterns, allowing for qualitative and quantitative assessment of the proteins. The results were robust and capable of discriminating between PD and non-PD patients via CSF detection. The k-nearest neighbor regression algorithm was used to predict MDS scores with a minimum mean square error of 38.88. The intelligent MOF sensor array is expected to promote the detection of CSF biomarkers due to its ability to identify multiple targets and could be used in conjunction with MDS criteria and other techniques to diagnose PD more sensitively and selectively. |
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| AbstractList | Cerebrospinal fluid (CSF) biomarkers are more sensitive than the Movement Disorder Society (MDS) criteria for detecting prodromal Parkinson's disease (PD). Early detection of PD provides the best chance for successful implementation of disease-modifying treatments, making it crucial to effectively identify CSF extracted from PD patients or normal individuals. In this study, an intelligent sensor array was built by using three metal–organic frameworks (MOFs) that exhibited varying catalytic kinetics after reacting with potential protein markers. Machine learning algorithms were used to process fingerprint response patterns, allowing for qualitative and quantitative assessment of the proteins. The results were robust and capable of discriminating between PD and non-PD patients via CSF detection. The k-nearest neighbor regression algorithm was used to predict MDS scores with a minimum mean square error of 38.88. The intelligent MOF sensor array is expected to promote the detection of CSF biomarkers due to its ability to identify multiple targets and could be used in conjunction with MDS criteria and other techniques to diagnose PD more sensitively and selectively. Cerebrospinal fluid (CSF) biomarkers are more sensitive than the Movement Disorder Society (MDS) criteria for detecting prodromal Parkinson's disease (PD). Early detection of PD provides the best chance for successful implementation of disease-modifying treatments, making it crucial to effectively identify CSF extracted from PD patients or normal individuals. In this study, an intelligent sensor array was built by using three metal-organic frameworks (MOFs) that exhibited varying catalytic kinetics after reacting with potential protein markers. Machine learning algorithms were used to process fingerprint response patterns, allowing for qualitative and quantitative assessment of the proteins. The results were robust and capable of discriminating between PD and non-PD patients via CSF detection. The k-nearest neighbor regression algorithm was used to predict MDS scores with a minimum mean square error of 38.88. The intelligent MOF sensor array is expected to promote the detection of CSF biomarkers due to its ability to identify multiple targets and could be used in conjunction with MDS criteria and other techniques to diagnose PD more sensitively and selectively.Cerebrospinal fluid (CSF) biomarkers are more sensitive than the Movement Disorder Society (MDS) criteria for detecting prodromal Parkinson's disease (PD). Early detection of PD provides the best chance for successful implementation of disease-modifying treatments, making it crucial to effectively identify CSF extracted from PD patients or normal individuals. In this study, an intelligent sensor array was built by using three metal-organic frameworks (MOFs) that exhibited varying catalytic kinetics after reacting with potential protein markers. Machine learning algorithms were used to process fingerprint response patterns, allowing for qualitative and quantitative assessment of the proteins. The results were robust and capable of discriminating between PD and non-PD patients via CSF detection. The k-nearest neighbor regression algorithm was used to predict MDS scores with a minimum mean square error of 38.88. The intelligent MOF sensor array is expected to promote the detection of CSF biomarkers due to its ability to identify multiple targets and could be used in conjunction with MDS criteria and other techniques to diagnose PD more sensitively and selectively. |
| Author | Zhuang, Zehong Chen, Huiting Tao, Jia Zhou, Xiang Ouyang, Sixue Zheng, Zhiyuan You, Yuanyuan Li, Yuan Liu, Ningxuan Lin, Peiru Lu, Jiajia Long, Hao Zhao, Peng Guo, Siyun |
| AuthorAffiliation | NMPA Key Laboratory for Research and Evaluation of Drug Metabolism, Guangdong Provincial Key Laboratory of New Drug Screening, Guangdong Provincial Key Laboratory of Cardiac Function and Microcirculation, School of Pharmaceutical Sciences Department of Neurosurgery, Nanfang Hospital School of Chemistry and Chemical Engineering |
| AuthorAffiliation_xml | – name: NMPA Key Laboratory for Research and Evaluation of Drug Metabolism, Guangdong Provincial Key Laboratory of New Drug Screening, Guangdong Provincial Key Laboratory of Cardiac Function and Microcirculation, School of Pharmaceutical Sciences – name: Department of Neurosurgery, Nanfang Hospital – name: School of Chemistry and Chemical Engineering |
| Author_xml | – sequence: 1 givenname: Huiting surname: Chen fullname: Chen, Huiting organization: School of Chemistry and Chemical Engineering – sequence: 2 givenname: Siyun surname: Guo fullname: Guo, Siyun organization: NMPA Key Laboratory for Research and Evaluation of Drug Metabolism, Guangdong Provincial Key Laboratory of New Drug Screening, Guangdong Provincial Key Laboratory of Cardiac Function and Microcirculation, School of Pharmaceutical Sciences – sequence: 3 givenname: Zehong surname: Zhuang fullname: Zhuang, Zehong organization: NMPA Key Laboratory for Research and Evaluation of Drug Metabolism, Guangdong Provincial Key Laboratory of New Drug Screening, Guangdong Provincial Key Laboratory of Cardiac Function and Microcirculation, School of Pharmaceutical Sciences – sequence: 4 givenname: Sixue surname: Ouyang fullname: Ouyang, Sixue organization: School of Chemistry and Chemical Engineering – sequence: 5 givenname: Peiru surname: Lin fullname: Lin, Peiru organization: NMPA Key Laboratory for Research and Evaluation of Drug Metabolism, Guangdong Provincial Key Laboratory of New Drug Screening, Guangdong Provincial Key Laboratory of Cardiac Function and Microcirculation, School of Pharmaceutical Sciences – sequence: 6 givenname: Zhiyuan surname: Zheng fullname: Zheng, Zhiyuan organization: NMPA Key Laboratory for Research and Evaluation of Drug Metabolism, Guangdong Provincial Key Laboratory of New Drug Screening, Guangdong Provincial Key Laboratory of Cardiac Function and Microcirculation, School of Pharmaceutical Sciences – sequence: 7 givenname: Yuanyuan surname: You fullname: You, Yuanyuan organization: NMPA Key Laboratory for Research and Evaluation of Drug Metabolism, Guangdong Provincial Key Laboratory of New Drug Screening, Guangdong Provincial Key Laboratory of Cardiac Function and Microcirculation, School of Pharmaceutical Sciences – sequence: 8 givenname: Xiang surname: Zhou fullname: Zhou, Xiang organization: School of Chemistry and Chemical Engineering – sequence: 9 givenname: Yuan surname: Li fullname: Li, Yuan organization: School of Chemistry and Chemical Engineering – sequence: 10 givenname: Jiajia surname: Lu fullname: Lu, Jiajia organization: NMPA Key Laboratory for Research and Evaluation of Drug Metabolism, Guangdong Provincial Key Laboratory of New Drug Screening, Guangdong Provincial Key Laboratory of Cardiac Function and Microcirculation, School of Pharmaceutical Sciences – sequence: 11 givenname: Ningxuan surname: Liu fullname: Liu, Ningxuan organization: NMPA Key Laboratory for Research and Evaluation of Drug Metabolism, Guangdong Provincial Key Laboratory of New Drug Screening, Guangdong Provincial Key Laboratory of Cardiac Function and Microcirculation, School of Pharmaceutical Sciences – sequence: 12 givenname: Jia orcidid: 0000-0002-1042-0565 surname: Tao fullname: Tao, Jia email: cejtao@scut.edu.cn organization: School of Chemistry and Chemical Engineering – sequence: 13 givenname: Hao surname: Long fullname: Long, Hao email: longh812@163.com organization: Department of Neurosurgery, Nanfang Hospital – sequence: 14 givenname: Peng orcidid: 0000-0003-4377-1035 surname: Zhao fullname: Zhao, Peng email: smuzp@smu.edu.cn organization: NMPA Key Laboratory for Research and Evaluation of Drug Metabolism, Guangdong Provincial Key Laboratory of New Drug Screening, Guangdong Provincial Key Laboratory of Cardiac Function and Microcirculation, School of Pharmaceutical Sciences |
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| Snippet | Cerebrospinal fluid (CSF) biomarkers are more sensitive than the Movement Disorder Society (MDS) criteria for detecting prodromal Parkinson’s disease (PD).... Cerebrospinal fluid (CSF) biomarkers are more sensitive than the Movement Disorder Society (MDS) criteria for detecting prodromal Parkinson's disease (PD).... |
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| SubjectTerms | Algorithms Biomarkers Biomarkers - cerebrospinal fluid Cerebrospinal fluid Criteria Early Diagnosis Humans Machine Learning Metal-organic frameworks Movement disorders Neurodegenerative diseases Parkinson Disease - diagnosis Parkinson's disease Proteins Reaction kinetics Sensor arrays Target recognition |
| Title | Intelligent Identification of Cerebrospinal Fluid for the Diagnosis of Parkinson’s Disease |
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