Urinary protein biomarkers based on LC–MS/MS analysis to discriminate vascular dementia from Alzheimer’s disease in Han Chinese population
ObjectiveThis study aimed to identify the potential urine biomarkers of vascular dementia (VD) and unravel the disease-associated mechanisms by applying Liquid chromatography tandem-mass spectrometry (LC–MS/MS).MethodsLC–MS/MS proteomic analysis was applied to urine samples from 3 groups, including...
| Main Authors: | , , , , , |
|---|---|
| Format: | Article |
| Language: | English |
| Published: |
Frontiers Media S.A.
2023-01-01
|
| Series: | Frontiers in Aging Neuroscience |
| Subjects: | |
| Online Access: | https://www.frontiersin.org/articles/10.3389/fnagi.2023.1070854/full |
| _version_ | 1797943947772821504 |
|---|---|
| author | Ruijuan Chen Ruijuan Chen Yuanjing Yi Wenbiao Xiao Bowen Zhong Le Zhang Yi Zeng |
| author_facet | Ruijuan Chen Ruijuan Chen Yuanjing Yi Wenbiao Xiao Bowen Zhong Le Zhang Yi Zeng |
| author_sort | Ruijuan Chen |
| collection | DOAJ |
| description | ObjectiveThis study aimed to identify the potential urine biomarkers of vascular dementia (VD) and unravel the disease-associated mechanisms by applying Liquid chromatography tandem-mass spectrometry (LC–MS/MS).MethodsLC–MS/MS proteomic analysis was applied to urine samples from 3 groups, including 14 patients with VD, 9 patients with AD, and 21 normal controls (NC). By searching the MS data by Proteome Discoverer software, analyzing the protein abundances qualitatively and quantitatively, comparing between groups, combining bioinformatics analysis using Gene Ontology (GO) and pathway crosstalk analysis using Kyoto Encyclopedia of Genes and Genomes (KEGG), and literature searching, the differentially expressed proteins (DEPs) of VD can be comprehensively determined at last and were further quantified by receiver operating characteristic (ROC) curve methods.ResultsThe proteomic findings showed quantitative changes in patients with VD compared to patients with NC and AD groups; among 4,699 identified urine proteins, 939 and 1,147 proteins displayed quantitative changes unique to VD vs. NC and AD, respectively, including 484 overlapped common DEPs. Then, 10 unique proteins named in KEGG database (including PLOD3, SDCBP, SRC, GPRC5B, TSG101/STP22/VPS23, THY1/CD90, PLCD, CDH16, NARS/asnS, AGRN) were confirmed by a ROC curve method.ConclusionOur results suggested that urine proteins enable detection of VD from AD and VC, which may provide an opportunity for intervention. |
| first_indexed | 2024-04-10T20:32:05Z |
| format | Article |
| id | doaj.art-ba7692a33b55454ca81ee9b50738a44b |
| institution | Directory Open Access Journal |
| issn | 1663-4365 |
| language | English |
| last_indexed | 2024-04-10T20:32:05Z |
| publishDate | 2023-01-01 |
| publisher | Frontiers Media S.A. |
| record_format | Article |
| series | Frontiers in Aging Neuroscience |
| spelling | doaj.art-ba7692a33b55454ca81ee9b50738a44b2023-01-25T06:06:53ZengFrontiers Media S.A.Frontiers in Aging Neuroscience1663-43652023-01-011510.3389/fnagi.2023.10708541070854Urinary protein biomarkers based on LC–MS/MS analysis to discriminate vascular dementia from Alzheimer’s disease in Han Chinese populationRuijuan Chen0Ruijuan Chen1Yuanjing Yi2Wenbiao Xiao3Bowen Zhong4Le Zhang5Yi Zeng6Department of Geriatrics, Second Xiangya Hospital, Central South University, Changsha, Hunan, ChinaDepartment of Emergency, Central South University Xiangya School of Medicine Affiliated Haikou Hospital, Haikou, Hainan, ChinaDepartment of Geriatrics, Second Xiangya Hospital, Central South University, Changsha, Hunan, ChinaDepartment of Geriatrics, Second Xiangya Hospital, Central South University, Changsha, Hunan, ChinaState Key Laboratory of Proteomics, Beijing Proteome Research Center, National Center for Protein Sciences (Beijing), Beijing Institute of Lifeomics, Beijing, ChinaDepartment of Neurology, Xiangya Hospital, Central South University, Changsha, Hunan, ChinaDepartment of Geriatrics, Second Xiangya Hospital, Central South University, Changsha, Hunan, ChinaObjectiveThis study aimed to identify the potential urine biomarkers of vascular dementia (VD) and unravel the disease-associated mechanisms by applying Liquid chromatography tandem-mass spectrometry (LC–MS/MS).MethodsLC–MS/MS proteomic analysis was applied to urine samples from 3 groups, including 14 patients with VD, 9 patients with AD, and 21 normal controls (NC). By searching the MS data by Proteome Discoverer software, analyzing the protein abundances qualitatively and quantitatively, comparing between groups, combining bioinformatics analysis using Gene Ontology (GO) and pathway crosstalk analysis using Kyoto Encyclopedia of Genes and Genomes (KEGG), and literature searching, the differentially expressed proteins (DEPs) of VD can be comprehensively determined at last and were further quantified by receiver operating characteristic (ROC) curve methods.ResultsThe proteomic findings showed quantitative changes in patients with VD compared to patients with NC and AD groups; among 4,699 identified urine proteins, 939 and 1,147 proteins displayed quantitative changes unique to VD vs. NC and AD, respectively, including 484 overlapped common DEPs. Then, 10 unique proteins named in KEGG database (including PLOD3, SDCBP, SRC, GPRC5B, TSG101/STP22/VPS23, THY1/CD90, PLCD, CDH16, NARS/asnS, AGRN) were confirmed by a ROC curve method.ConclusionOur results suggested that urine proteins enable detection of VD from AD and VC, which may provide an opportunity for intervention.https://www.frontiersin.org/articles/10.3389/fnagi.2023.1070854/fullvascular dementiaAlzheimer’s diseasebiomarkersurineproteomics |
| spellingShingle | Ruijuan Chen Ruijuan Chen Yuanjing Yi Wenbiao Xiao Bowen Zhong Le Zhang Yi Zeng Urinary protein biomarkers based on LC–MS/MS analysis to discriminate vascular dementia from Alzheimer’s disease in Han Chinese population Frontiers in Aging Neuroscience vascular dementia Alzheimer’s disease biomarkers urine proteomics |
| title | Urinary protein biomarkers based on LC–MS/MS analysis to discriminate vascular dementia from Alzheimer’s disease in Han Chinese population |
| title_full | Urinary protein biomarkers based on LC–MS/MS analysis to discriminate vascular dementia from Alzheimer’s disease in Han Chinese population |
| title_fullStr | Urinary protein biomarkers based on LC–MS/MS analysis to discriminate vascular dementia from Alzheimer’s disease in Han Chinese population |
| title_full_unstemmed | Urinary protein biomarkers based on LC–MS/MS analysis to discriminate vascular dementia from Alzheimer’s disease in Han Chinese population |
| title_short | Urinary protein biomarkers based on LC–MS/MS analysis to discriminate vascular dementia from Alzheimer’s disease in Han Chinese population |
| title_sort | urinary protein biomarkers based on lc ms ms analysis to discriminate vascular dementia from alzheimer s disease in han chinese population |
| topic | vascular dementia Alzheimer’s disease biomarkers urine proteomics |
| url | https://www.frontiersin.org/articles/10.3389/fnagi.2023.1070854/full |
| work_keys_str_mv | AT ruijuanchen urinaryproteinbiomarkersbasedonlcmsmsanalysistodiscriminatevasculardementiafromalzheimersdiseaseinhanchinesepopulation AT ruijuanchen urinaryproteinbiomarkersbasedonlcmsmsanalysistodiscriminatevasculardementiafromalzheimersdiseaseinhanchinesepopulation AT yuanjingyi urinaryproteinbiomarkersbasedonlcmsmsanalysistodiscriminatevasculardementiafromalzheimersdiseaseinhanchinesepopulation AT wenbiaoxiao urinaryproteinbiomarkersbasedonlcmsmsanalysistodiscriminatevasculardementiafromalzheimersdiseaseinhanchinesepopulation AT bowenzhong urinaryproteinbiomarkersbasedonlcmsmsanalysistodiscriminatevasculardementiafromalzheimersdiseaseinhanchinesepopulation AT lezhang urinaryproteinbiomarkersbasedonlcmsmsanalysistodiscriminatevasculardementiafromalzheimersdiseaseinhanchinesepopulation AT yizeng urinaryproteinbiomarkersbasedonlcmsmsanalysistodiscriminatevasculardementiafromalzheimersdiseaseinhanchinesepopulation |