Number of the records: 1  

NMR-BASED METABOLOMIC ANALYSIS OF BLOOD PLASMA AS A PANCREATIC CANCER DIAGNOSTIC TOOL

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    SYSNO ASEP0566927
    Document TypeA - Abstract
    R&D Document TypeThe record was not marked in the RIV
    R&D Document TypeNení vybrán druh dokumentu
    TitleNMR-BASED METABOLOMIC ANALYSIS OF BLOOD PLASMA AS A PANCREATIC CANCER DIAGNOSTIC TOOL
    Author(s) Michálková, Lenka (UCHP-M) RID, ORCID, SAI
    Horník, Štěpán (UCHP-M) ORCID, RID, SAI
    Setnička, V. (CZ)
    Sýkora, Jan (UCHP-M) RID, ORCID, SAI
    Bunganič, B. (CZ)
    Article numberSE-8
    Source TitleBook of Abstracts. - Zagreb : Croatian Chemical Society, 2022 / Bregović N. ; Namjesnik D. ; Novak P. ; Vuković J.P. - ISBN 978-953-8334-04-7
    S. 61
    Number of pages1 s.
    Publication formOnline - E
    ActionMagnetic Moments in Central Europe 2022
    Event date01.06.2022 - 04.06.2022
    VEvent locationPrimošten
    CountryHR - Croatia
    Event typeEUR
    Languageeng - English
    CountryHR - Croatia
    Keywordsblood plasma ; nmr metabolomic ; pancreatic cancer
    OECD categoryEnvironmental sciences (social aspects to be 5.7)
    R&D ProjectsTK02010035 GA TA ČR - Technology Agency of the Czech Republic (TA ČR)
    Institutional supportUCHP-M - RVO:67985858
    AnnotationIn this work, 1H NMR metabolomic analysis of blood plasma was used as an alternative approach for early PC diagnosis in RODM patients. Based on concentration profile of 58 metabolites, a discrimination of PC patients from long-term T2DM patients was achieved. A specific biomarker panel of eight metabolites was proposed and successfully tested for PC diagnosis against T2DM patients and healthy controls. Moreover, a prediction model for the identification of risk individuals for PC development in RODM group was developed and the patients likely suffering from pancreatogenic diabetes were identified. Six of 59 RODM patients had similar metabolic characteristics as PC patients and their health conditions were therefore re-examined.
    The found pathological changes correlated reasonably with our findings. Recent results also indicated subtle metabolic changes among individual PC clinical stages that could be used for their differentiation in future.
    WorkplaceInstitute of Chemical Process Fundamentals
    ContactEva Jirsová, jirsova@icpf.cas.cz, Tel.: 220 390 227
    Year of Publishing2023
Number of the records: 1  

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