Casado, Begoña, Zanone, Chiara, Annovazzi, Laura et al. · Journal of chromatography. B, Analytical technologies in the biomedical and life sciences · 2005 · DOI
Researchers collected urine samples from people with ME/CFS, people with ME/CFS plus fibromyalgia, and healthy controls to look for chemical differences. Using a specialized lab technique called electrophoresis, they found that the urine samples from people with these conditions showed distinct patterns of chemicals compared to healthy people. These patterns might potentially be used as biological markers to help identify and understand these illnesses.
Identifying biological markers in urine could help doctors objectively diagnose ME/CFS, which currently relies only on symptoms and clinical assessment. Distinguishing between CFS alone and CFS with fibromyalgia through biomarkers might also improve treatment targeting and disease understanding. This research points toward developing practical, non-invasive diagnostic tools for patients who have long struggled without objective confirmation of their illness.
This pilot study does not prove that these urinary patterns definitively cause ME/CFS or that they are specific enough for routine clinical diagnosis. The cross-sectional design cannot establish whether these patterns are consequences of the disease or contributors to it. Additionally, the small sample size and lack of independent replication mean these findings require validation in larger populations before clinical implementation.
About the PEM badge: “PEM required” means post-exertional malaise was an explicit required diagnostic criterion for participant inclusion in this study — not that PEM was studied, observed, or discussed. Studies using criteria that do not require PEM (e.g. Fukuda, Oxford) are tagged “PEM not required”. How the atlas works →
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