Potential Novel Biomarkers in Chronic Graft-Versus-Host Disease
| Autor: | Hildegard Greinix, Nina Milutin Gašperov, Daniel Wolff, Magdalena Grce, Maja Pučić-Baković, Nuala Mooney, Dražen Pulanić, Ernst Holler, Daniela Weber, Katarzyna Bogunia-Kubik, Rachel E Crossland, Francesca Perutelli, Marit Inngjerdingen, Anne M. Dickinson |
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| Přispěvatelé: | Newcastle University [Newcastle], Department of clinical and biological sciences, University of Torino, Italy, Polish Academy of Sciences (PAN), Immunologie humaine, physiopathologie & immunothérapie (HIPI (UMR_S_976 / U976)), Institut National de la Santé et de la Recherche Médicale (INSERM)-Université de Paris (UP), Ruđer Bosˇ kovic ́ Institute, Glycoscience Research Laboratory, Medical University of Graz, University Hospital Regensburg, University Hospital Centre Zagreb and University of Zagreb School of Medicine, University of Oslo (UiO), Institut Ruđer Bošković (IRB), Mooney, Nuala, Università degli studi di Torino = University of Turin (UNITO), Institut National de la Santé et de la Recherche Médicale (INSERM)-Université Paris Cité (UPCité) |
| Jazyk: | angličtina |
| Rok vydání: | 2020 |
| Předmět: |
medicine.medical_treatment
[SDV]Life Sciences [q-bio] microbiome Graft vs Host Disease Review Disease Hematopoietic stem cell transplantation Bioinformatics glycomics chronic graft-versus-host disease (cGvHD) alloantibodies endothelial derived particles extracellular vesicles epigenetic changes cellular biomarkers 0302 clinical medicine Cell-Derived Microparticles Isoantibodies immune system diseases hemic and lymphatic diseases Immunology and Allergy ComputingMilieux_MISCELLANEOUS 0303 health sciences Prognosis 3. Good health [SDV] Life Sciences [q-bio] 030220 oncology & carcinogenesis DNA methylation Biomarker (medicine) extracellular vesicles Genetic Markers lcsh:Immunologic diseases. Allergy Clinical Decision-Making Immunology 03 medical and health sciences Predictive Value of Tests endothelial derived particles Clinical Medical Sciences medicine Animals Humans Epigenetics Microbiome 030304 developmental biology Bacteria business.industry Basic Medical Sciences medicine.disease Gastrointestinal Microbiome MicroRNAs Graft-versus-host disease Chronic Disease lcsh:RC581-607 business Dysbiosis Biomarkers |
| Zdroj: | Frontiers in Immunology Frontiers in Immunology, Frontiers, 2020, 11, ⟨10.3389/fimmu.2020.602547⟩ Frontiers in Immunology, Vol 11 (2020) |
| ISSN: | 1664-3224 |
| Popis: | Prognostic, diagnostic or predictive biomarkers are urgently needed for assessment of chronic graft-versus-host disease (cGvHD), a major risk for patients undergoing allogeneic hematopoietic stem cell transplantation. The main goal of this review generated within the COST Action EUROGRAFT “Integrated European Network on Chronic Graft Versus Host Disease” was to identify potential novel biomarkers for cGvHD besides the widely accepted molecular and cellular biomarkers. Thus, the focus was on cellular biomarkers, alloantibodies, glycomics, endothelial derived particles, extracellular vesicles, microbiome, epigenetic and neurologic changes in cGvHD patients. Both host-reactive antibodies in general, and particularly alloantibodies have been associated with cGvHD and require further consideration. Glycans attached to IgG modulate its activity and represent a promising predictive and/or stratification biomarker for cGVHD. Furthermore, epigenetic changes such as microRNAs and DNA methylation represent potential biomarkers for monitoring cGvHD patients and novel targets for developing new treatment approaches. Finally, the microbiome likely affects the pathophysiology of cGvHD; bacterial strains as well as microbial metabolites could display potential biomarkers for dysbiosis and risk for the development of cGvHD. In summary, although there are no validated biomarkers currently available for clinical use to better inform on the diagnosis, prognosis or prediction of outcome for cGvHD, many novel sources of potential markers have shown promise and warrant further investigation using well characterized, multi-center patient cohorts. |
| Databáze: | OpenAIRE |
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