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High Throughput Sequential ELISA for Validation of Biomarkers of Acute Graft-Versus-Host Disease
Published on: October 31, 2012
Potential Novel Biomarkers in Chronic Graft-Versus-Host Disease
Rachel E Crossland1, Francesca Perutelli2, Katarzyna Bogunia-Kubik3
1Translational and Clinical Research Institute, Faculty of Medical Sciences, Newcastle University, Newcastle upon Tyne, United Kingdom.
Insights
Novel biomarkers for chronic graft-versus-host disease (cGvHD) are crucial. This review highlights promising areas like alloantibodies, glycomics, epigenetics, and the microbiome for improved cGvHD assessment.
Area of Science:
- Hematology
- Immunology
- Biomarker Discovery
Background:
- Chronic graft-versus-host disease (cGvHD) is a significant risk following allogeneic hematopoietic stem cell transplantation.
- There is an urgent need for reliable prognostic, diagnostic, and predictive biomarkers for cGvHD.
- Current assessment relies on widely accepted molecular and cellular markers, necessitating exploration of novel avenues.
Purpose of the Study:
- To identify potential novel biomarkers for cGvHD beyond established markers.
- To review emerging areas including cellular biomarkers, alloantibodies, glycomics, endothelial particles, extracellular vesicles, microbiome, and epigenetic/neurologic changes.
- To assess their potential for diagnosis, prognosis, and prediction of outcomes in cGvHD.
Main Methods:
- Systematic review of literature on cGvHD biomarkers.
- Focus on non-traditional sources such as alloantibodies, glycomic profiles, microbiome alterations, and epigenetic modifications.
- Analysis of host-reactive antibodies, IgG glycans, microRNAs, DNA methylation, bacterial strains, and microbial metabolites.
Main Results:
- Alloantibodies and specific IgG glycan patterns show promise as predictive/stratification biomarkers for cGvHD.
- Epigenetic changes (microRNAs, DNA methylation) may serve as monitoring biomarkers and therapeutic targets.
- Microbiome alterations and metabolites are implicated in cGvHD pathophysiology and could indicate dysbiosis and risk.
Conclusions:
- While no validated biomarkers are currently available for clinical cGvHD assessment, several novel sources show significant promise.
- Further investigation in well-characterized, multi-center patient cohorts is warranted.
- These emerging biomarkers could improve the diagnosis, prognosis, and prediction of outcomes for cGvHD patients.
Abstract:
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.
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