Untargeted metabolomics of blood plasma samples of patients with hepatocellular carcinoma

Kód výsledku v IS VaVaI

<a href="https://www.isvavai.cz/riv?ss=detail&h=RIV%2F60461373%3A22310%2F24%3A43929805" target="_blank" >RIV/60461373:22310/24:43929805 - isvavai.cz</a>

Nalezeny alternativní kódy

RIV/60461373:22340/24:43929805 RIV/60162694:G44__/25:00563433 RIV/00216208:11110/24:10483098 RIV/61383082:_____/24:00001432

Výsledek na webu

<a href="https://www.sciencedirect.com/science/article/pii/S0731708524003030?via=ihub" target="_blank" >https://www.sciencedirect.com/science/article/pii/S0731708524003030?via=ihub</a>

DOI - Digital Object Identifier

<a href="http://dx.doi.org/10.1016/j.jpba.2024.116263" target="_blank" >10.1016/j.jpba.2024.116263</a>

Jazyk výsledku

angličtina

Název v původním jazyce

Untargeted metabolomics of blood plasma samples of patients with hepatocellular carcinoma

Popis výsledku v původním jazyce

Hepatocellular carcinoma (HCC) is one of the leading causes of cancer-related deaths in the world. HCC is often diagnosed late because patients with early-stage cancer have no apparent symptoms. Therefore, it is desirable to find a reliable method for an early diagnosis based on the detection of metabolites - biomarkers, that can be detected in the early stages of the disease. Untargeted metabolomics is often used as a tool to find a suitable biomarker for several diseases. In this work, untargeted metabolomics was performed on blood plasma samples of HCC patients and compared with healthy individuals and patients with liver cirrhosis. A combination of liquid chromatography and high-resolution mass spectrometry was used as an analytical method. More than a thousand peaks were detected in the blood plasma samples, from which mainly amino acids, carboxylic acids, lipids, and their derivatives were evaluated as potential biomarkers. The data obtained were statistically processed using the analysis of variance, correlation analysis, and principal component analysis.

Název v anglickém jazyce

Untargeted metabolomics of blood plasma samples of patients with hepatocellular carcinoma

Popis výsledku anglicky

Hepatocellular carcinoma (HCC) is one of the leading causes of cancer-related deaths in the world. HCC is often diagnosed late because patients with early-stage cancer have no apparent symptoms. Therefore, it is desirable to find a reliable method for an early diagnosis based on the detection of metabolites - biomarkers, that can be detected in the early stages of the disease. Untargeted metabolomics is often used as a tool to find a suitable biomarker for several diseases. In this work, untargeted metabolomics was performed on blood plasma samples of HCC patients and compared with healthy individuals and patients with liver cirrhosis. A combination of liquid chromatography and high-resolution mass spectrometry was used as an analytical method. More than a thousand peaks were detected in the blood plasma samples, from which mainly amino acids, carboxylic acids, lipids, and their derivatives were evaluated as potential biomarkers. The data obtained were statistically processed using the analysis of variance, correlation analysis, and principal component analysis.

Druh

J_imp - Článek v periodiku v databázi Web of Science

CEP obor

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OECD FORD obor

10406 - Analytical chemistry

Projekt

<a href="/cs/project/NV19-08-00525" target="_blank" >NV19-08-00525: Časná diagnostika hepatocelulárního karcinomu u pacientů s jaterní cirhózou pomocí nových molekulárně spektrometrických biomarkerů v krevní plazmě</a><br>

Návaznosti

P - Projekt vyzkumu a vyvoje financovany z verejnych zdroju (s odkazem do CEP)

Rok uplatnění

2024

Kód důvěrnosti údajů

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

Název periodika

Journal of Pharmaceutical and Biomedical Analysis

ISSN

0731-7085

e-ISSN

1873-264X

Svazek periodika

248

Číslo periodika v rámci svazku

15 September

Stát vydavatele periodika

ZA - Jihoafrická republika

Počet stran výsledku

9

Strana od-do

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Kód UT WoS článku

001251725400001

EID výsledku v databázi Scopus

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