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Circulating histones as potential biomarkers of MASLD-MASH-HCC progression

The result's identifiers

  • Result code in IS VaVaI

    <a href="https://www.isvavai.cz/riv?ss=detail&h=RIV%2F86652079%3A_____%2F25%3A00644899" target="_blank" >RIV/86652079:_____/25:00644899 - isvavai.cz</a>

  • Result on the web

    <a href="https://www.tandfonline.com/doi/abs/10.1080/17501911.2025.2611415" target="_blank" >https://www.tandfonline.com/doi/abs/10.1080/17501911.2025.2611415</a>

  • DOI - Digital Object Identifier

    <a href="http://dx.doi.org/10.1080/17501911.2025.2611415" target="_blank" >10.1080/17501911.2025.2611415</a>

Alternative languages

  • Result language

    angličtina

  • Original language name

    Circulating histones as potential biomarkers of MASLD-MASH-HCC progression

  • Original language description

    Background Reliable biomarkers are warranted to identify patients with metabolic dysfunction-associated steatotic liver disease (MASLD), including metabolic dysfunction-associated steatohepatitis (MASH), at risk for developing hepatocellular carcinoma (HCC). Research and methods We evaluated whether circulating histones can predict this risk. Plasma histones were measured using imaging flow cytometry in patients with MASLD (n = 25), MASH (n = 25), HCC (n = 40), and 30 healthy controls. Results We detected (p < 0.05), compared to controls 1) elevated levels of H2A, H3, H2A/H2B/H3/H4, macroH2A1.1, macroH2A1.2 in MASLD/MASH and HCC, 2) decreased levels of macroH2A1.2/H2B/H3/H4 in MASLD/MASH and increased in HCC, 3) reduced H4 levels discriminating between MASH and non-MASH. Machine-learning analysis showed that being diabetic/dyslipidemic, having decreased H2A (p = 0.002) and H4 (p = 0.0156) levels favor MASH. Conclusions Our data indicate plasma histones H2A and H4 as new biomarkers of liver disease progression. The identification of histone-based biomarkers using imaging flow cytometry could provide a rapid approach to discriminate between non-MASH and MASH, and to predict the risk of HCC development. PLAIN LANGUAGE SUMMARY Patients with fatty liver disease linked to metabolism (MASLD or its more severe inflammatory form MASH) need better ways to spot who might later develop liver cancer (HCC). In this study, we measured different types of histones (proteins that bind our DNA and then float in the blood if cells die) using a special imaging technique in 25 people with MASLD, 25 with MASH, 40 with HCC, and 30 healthy people. We found clear differences several histones and histone complexes were higher in all patient groups than in healthy controls. Some histone levels were lower in MASLD/MASH but rose again in HCC, while histone H4 was particularly low in MASH and helped tell MASH apart from milder disease. Using machine learning, the strongest signals for having MASH (rather than a simpler fatty liver) were diabetes or high blood fats combined with lower circulating histones H2A and H4. Overall, blood levels of histones H2A and H4 look like promising new markers to track how serious the liver disease is, distinguish MASH from less severe forms, and possibly predict who will go on to develop liver cancer. This histone test is fast and could be useful in everyday practice.

  • Czech name

  • Czech description

Classification

  • Type

    J<sub>imp</sub> - Article in a specialist periodical, which is included in the Web of Science database

  • CEP classification

  • OECD FORD branch

    30205 - Hematology

Result continuities

  • Project

  • Continuities

    I - Institucionalni podpora na dlouhodoby koncepcni rozvoj vyzkumne organizace

Others

  • Publication year

    2025

  • Confidentiality

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

Data specific for result type

  • Name of the periodical

    Epigenomics

  • ISSN

    1750-1911

  • e-ISSN

    1750-192X

  • Volume of the periodical

    17

  • Issue of the periodical within the volume

    18

  • Country of publishing house

    GB - UNITED KINGDOM

  • Number of pages

    11

  • Pages from-to

    1435-1446

  • UT code for WoS article

    001654343500001

  • EID of the result in the Scopus database

    2-s2.0-105026725451