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Raman spectroscopic signatures of blood cells

About

Status:
Ongoing
Principal investigator:
Country:
Germany
Study start:
2024-11
Completion (planned):
2027-11
Last update:
2024-11-22

 

Research types:
Basic research
Research areas:
Immune system dysfunction, Musculoskeletal system disorder
Interventions:
Not applicable
Priv. Sector Partner:
Not available
Sponsors:

Project description

The BioSig-PEM research network's approach will provide critical insights to develop novel disease-based diagnostic and therapeutic intervention points for ME/CFS.

ME/CFS is a complex and highly debilitating disease for which there is currently no proven therapy. Post-exertional malaise (PEM) is the cardinal symptom of ME/CFS. It is not yet clear why certain patients develop PEM and whether there are diagnostic options to predict or even prevent the manifestation of PEM. BioSig-PEM pursues the hypothesis that repeated single acute stresses unmask different molecular patterns of PEM. The overarching goal of the consortium is to identify key pathobiological signatures of PEM phenotypes in ME/CFS in order to create the basis for new diagnostic, preventive and therapeutic approaches. BioSig-PEM pursues the following sub-goals for the clinical phenotyping of ME/CFS:

1) comprehensive clinical phenotyping of ME/CFS patients at three clinical centers (Jena, Berlin, Munich);

2) identification of PEM-associated pathobiological immuno-metabolic signatures and multimodal brain imaging for the effects of repeated short-term physical stress; and

3) identification of molecular markers of the endothelium and host-microbiome co-metabolism.

At the Leibniz Institute of Photonic Technology, blood samples from patients are analysed using Raman spectroscopy. The integration of spectroscopy and artificial intelligence could be a non-invasive, reliable and objective method to identify molecular signatures of ME/CFS and PEM-specific markers and thus gain a better understanding of the individual PEM phenotype.

(Description adapted from project website: see link above)

Patient cohort

Not available

Patients enrolled: Not available

Age group: Not available

Research areas
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Research types
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Research networks
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Working groups
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People
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Publications
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Organisations
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