{"title":"帕金森病液体和组织生物标志物的最新进展","authors":"Ravi Rajmohan, April Wen, Claire Henchcliffe","doi":"10.1080/14737175.2025.2515068","DOIUrl":null,"url":null,"abstract":"<p><strong>Introduction: </strong>Parkinson's disease (PD) is a common neurodegenerative disease leading to motor and non-motor disabilities. Broadly accessible fluid- or tissue-based biomarkers will complement neuroimaging and may allow earlier identification and more precise tracking.</p><p><strong>Areas covered: </strong>The authors have reviewed the recent advances from original full-text English-language articles that were indexed in the PubMed database between June 2023 and June 2024. Articles were identified using the PubMed MESH terms 'Parkinson's Disease' AND 'biomarkers' that focused on using a fluid or tissue-based biomarker to distinguish participants with PD from healthy controls or other conditions. The most promising new biomarkers are those measuring α-synuclein from cerebrospinal fluid or skin biopsy. A significant limitation of these studies is their reliance on a clinical diagnosis of PD, mostly without neuropathological confirmation.</p><p><strong>Expert opinion: </strong>Mounting evidence supports the validity of CSF and skin biopsy-based detection of α-synuclein for the distinction of PD from healthy controls, although not yet from the spectrum of α-synucleinopathies nor from non-α-synuclein forms of parkinsonism. Nonetheless, the potential to detect individuals who will develop PD may revolutionize our ability to test potential preventive interventions before motor symptoms develop. Machine-learning approaches offer promising strategies for efficient identification and validation of novel biomarkers.</p>","PeriodicalId":12190,"journal":{"name":"Expert Review of Neurotherapeutics","volume":" ","pages":"1-8"},"PeriodicalIF":3.4000,"publicationDate":"2025-06-29","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":"{\"title\":\"Recent advances in fluid and tissue-based biomarkers for use in Parkinson's disease.\",\"authors\":\"Ravi Rajmohan, April Wen, Claire Henchcliffe\",\"doi\":\"10.1080/14737175.2025.2515068\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"<p><strong>Introduction: </strong>Parkinson's disease (PD) is a common neurodegenerative disease leading to motor and non-motor disabilities. Broadly accessible fluid- or tissue-based biomarkers will complement neuroimaging and may allow earlier identification and more precise tracking.</p><p><strong>Areas covered: </strong>The authors have reviewed the recent advances from original full-text English-language articles that were indexed in the PubMed database between June 2023 and June 2024. Articles were identified using the PubMed MESH terms 'Parkinson's Disease' AND 'biomarkers' that focused on using a fluid or tissue-based biomarker to distinguish participants with PD from healthy controls or other conditions. The most promising new biomarkers are those measuring α-synuclein from cerebrospinal fluid or skin biopsy. A significant limitation of these studies is their reliance on a clinical diagnosis of PD, mostly without neuropathological confirmation.</p><p><strong>Expert opinion: </strong>Mounting evidence supports the validity of CSF and skin biopsy-based detection of α-synuclein for the distinction of PD from healthy controls, although not yet from the spectrum of α-synucleinopathies nor from non-α-synuclein forms of parkinsonism. Nonetheless, the potential to detect individuals who will develop PD may revolutionize our ability to test potential preventive interventions before motor symptoms develop. Machine-learning approaches offer promising strategies for efficient identification and validation of novel biomarkers.</p>\",\"PeriodicalId\":12190,\"journal\":{\"name\":\"Expert Review of Neurotherapeutics\",\"volume\":\" \",\"pages\":\"1-8\"},\"PeriodicalIF\":3.4000,\"publicationDate\":\"2025-06-29\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"\",\"citationCount\":\"0\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"Expert Review of Neurotherapeutics\",\"FirstCategoryId\":\"3\",\"ListUrlMain\":\"https://doi.org/10.1080/14737175.2025.2515068\",\"RegionNum\":2,\"RegionCategory\":\"医学\",\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"\",\"PubModel\":\"\",\"JCR\":\"Q2\",\"JCRName\":\"CLINICAL NEUROLOGY\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"Expert Review of Neurotherapeutics","FirstCategoryId":"3","ListUrlMain":"https://doi.org/10.1080/14737175.2025.2515068","RegionNum":2,"RegionCategory":"医学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"Q2","JCRName":"CLINICAL NEUROLOGY","Score":null,"Total":0}
Recent advances in fluid and tissue-based biomarkers for use in Parkinson's disease.
Introduction: Parkinson's disease (PD) is a common neurodegenerative disease leading to motor and non-motor disabilities. Broadly accessible fluid- or tissue-based biomarkers will complement neuroimaging and may allow earlier identification and more precise tracking.
Areas covered: The authors have reviewed the recent advances from original full-text English-language articles that were indexed in the PubMed database between June 2023 and June 2024. Articles were identified using the PubMed MESH terms 'Parkinson's Disease' AND 'biomarkers' that focused on using a fluid or tissue-based biomarker to distinguish participants with PD from healthy controls or other conditions. The most promising new biomarkers are those measuring α-synuclein from cerebrospinal fluid or skin biopsy. A significant limitation of these studies is their reliance on a clinical diagnosis of PD, mostly without neuropathological confirmation.
Expert opinion: Mounting evidence supports the validity of CSF and skin biopsy-based detection of α-synuclein for the distinction of PD from healthy controls, although not yet from the spectrum of α-synucleinopathies nor from non-α-synuclein forms of parkinsonism. Nonetheless, the potential to detect individuals who will develop PD may revolutionize our ability to test potential preventive interventions before motor symptoms develop. Machine-learning approaches offer promising strategies for efficient identification and validation of novel biomarkers.
期刊介绍:
Expert Review of Neurotherapeutics (ISSN 1473-7175) provides expert reviews on the use of drugs and medicines in clinical neurology and neuropsychiatry. Coverage includes disease management, new medicines and drugs in neurology, therapeutic indications, diagnostics, medical treatment guidelines and neurological diseases such as stroke, epilepsy, Alzheimer''s and Parkinson''s.
Comprehensive coverage in each review is complemented by the unique Expert Review format and includes the following sections:
Expert Opinion - a personal view of the data presented in the article, a discussion on the developments that are likely to be important in the future, and the avenues of research likely to become exciting as further studies yield more detailed results
Article Highlights – an executive summary of the author’s most critical points