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Proteomics in Huntington’s Disease Biomarker Discovery

The result's identifiers

  • Result code in IS VaVaI

    <a href="https://www.isvavai.cz/riv?ss=detail&h=RIV%2F67985904%3A_____%2F23%3A00577184" target="_blank" >RIV/67985904:_____/23:00577184 - isvavai.cz</a>

  • Result on the web

    <a href="http://dx.doi.org/10.1007/978-3-031-32815-2_9" target="_blank" >http://dx.doi.org/10.1007/978-3-031-32815-2_9</a>

  • DOI - Digital Object Identifier

    <a href="http://dx.doi.org/10.1007/978-3-031-32815-2_9" target="_blank" >10.1007/978-3-031-32815-2_9</a>

Alternative languages

  • Result language

    angličtina

  • Original language name

    Proteomics in Huntington’s Disease Biomarker Discovery

  • Original language description

    Mass spectrometry (MS) and proteomics are continuously evolving methods in systems biology that carry enormous potential for accurately profiling the proteome of diseased tissues and exploring biomarker molecules. In Huntington’s disease (HD), the identification of novel effective biomarkers for monitoring the disease progression from the early asymptomatic stage would be extremely useful for clinical decision-making. Although none of the detected candidate molecules has reached the level of validation, available proteomic studies have provided a list of potential protein biomarkers for future targeted studies using modern workflows in large clinical trials. This review summarises protein data from HD patients and experimental models, reporting biomarker candidates verified by independent methods or identified by multiple independent studies. After examining the overlaps across different tissues and models, several known and novel candidates emerged as consistently affected in HD. Based on MS-based HD studies, we propose the monitoring of existing markers mutant Huntingtin (mHTT) and neurofilament light polypeptide (NfL), together with novel candidate markers, such as proenkephalin-A (PENK), proenkephalin-B (PDYN), glial fibrillary acidic protein (GFAP), and many others.

  • Czech name

  • Czech description

Classification

  • Type

    C - Chapter in a specialist book

  • CEP classification

  • OECD FORD branch

    10608 - Biochemistry and molecular biology

Result continuities

  • Project

    <a href="/en/project/EF16_019%2F0000785" target="_blank" >EF16_019/0000785: Center for Tumor Ecology - Research of the cancer microenvironment supporting cancer growth and spread</a><br>

  • Continuities

    I - Institucionalni podpora na dlouhodoby koncepcni rozvoj vyzkumne organizace

Others

  • Publication year

    2023

  • Confidentiality

    S - Úplné a pravdivé údaje o projektu nepodléhají ochraně podle zvláštních právních předpisů

Data specific for result type

  • Book/collection name

    Biomarkers for Huntington's Disease

  • ISBN

    978-3-031-32814-5

  • Number of pages of the result

    38

  • Pages from-to

    209-247

  • Number of pages of the book

    475

  • Publisher name

    Springer

  • Place of publication

    Cham

  • UT code for WoS chapter