Key result
A 256-peptide immunosignature differentiates ME/CFS from healthy controls with an AUC of 0.82.
Why the study?
There is a need to identify a disease-specific immunosignature for ME/CFS to aid in diagnosis and understand immune dysfunction.
Does random-sequence peptide microarray analysis identify an immunosignature that differentiates ME/CFS from healthy controls?
Case-Control (n=84)
Yes
Does random-sequence peptide microarray analysis identify an immunosignature that differentiates ME/CFS from healthy controls?
Effect estimate: AUC 0.82
A 256-peptide immunosignature can differentiate ME/CFS patients from healthy controls, offering a potential pathway toward a clinically meaningful diagnostic biomarker.
Hypothesis-generating for ME/CFS immunosignature diagnostics; prospective validation required before clinical adoption.
A random-sequence peptide microarray can interrogate serum antibodies in a broad, unbiased fashion to generate disease-specific immunosignatures. This approach has been applied to cancer detection, diagnosis of infections, and interrogation of vaccine response. We hypothesized that there is an immunosignature specific to ME/CFS and that this could aid in the diagnosis. We studied two subject groups meeting the Canadian Consensus Definition of ME/CFS. ME/CFS (n = 25) and matched control (n = 25) sera were obtained from a Canadian study. ME/CFS (n = 25) sera were obtained from phase 1/2 Norwegian trials (NCT01156909). Sera from six healthy controls from the USA were included in the analysis. Canadian cases and controls were tested for a disease immunosignature. By combining results from unsupervised and supervised analyses, a candidate immunosignature with 654 peptides was able to differentiate ME/CFS from controls. The immunosignature was tested and further refined using the Norwegian and USA samples. This resulted in a 256-peptide immunosignature with the ability to separate ME/CFS cases from controls in the international data sets. We were able to identify a 256-peptide signature that separates ME/CFS samples from healthy controls, suggesting that the hit-and-run hypothesis of immune dysfunction merits further investigation. By extending testing of both our signature and one previously reported in the literature to larger cohorts, and further interrogating the specific peptides we and others have identified, we may deepen our understanding of the origins of ME/CFS and work towards a clinically meaningful diagnostic biomarker.
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Günther et al. (2018) conducted a case-control in Myalgic Encephalomyelitis/Chronic Fatigue Syndrome (ME/CFS) (n=84). Immunosignature assay (peptide microarray) vs. Healthy controls was evaluated on Differentiation of ME/CFS cases from healthy controls (Area Under the Curve) (AUC 0.82). A candidate immunosignature differentiated ME/CFS from controls with an AUC of 0.82 in the validation set, which was further refined to a 256-peptide signature capable of separating cases from controls.
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