Background: Validation of biomarkers for myalgic encephalomyelitis/chronic fatigue syndrome (ME/CFS) across data sets has proven disappointing. As immune signature may be affected by many factors, our objective was to explore the shift in discriminatory cytokines across ME/CFS subjects separated by duration of illness. Methods: Cytokine expression collected at rest across multiple studies for female ME/CFS subjects (i) 18 years or younger, ill for 2 years or less (n = 18), (ii) 18-50 years of age, ill for 7 years (n = 22), and (iii) age 50 years or older (n = 28), ill for 11 years on average. Control subjects were matched for age and body mass index (BMI). Data describing the levels of 16 cytokines using a chemiluminescent assay was used to support the identification of separate linear classification models for each subgroup. In order to isolate the effects of duration of illness alone, cytokines that changed significantly with age in the healthy control subjects were excluded a priori. Results: Optimal selection of cytokines in each group resulted in subsets of IL-1α, 6, 8, 15 and TNFα. Common to any 2 of 3 groups were IL-1α, 6 and 8. Setting these 3 markers as a triple screen and adjusting their contribution according to illness duration sub-groups produced ME/CFS classification accuracies of 75-88 %. The contribution of IL-1α, higher in recently ill adolescent ME/CFS subjects was progressively less important with duration. While high levels of IL-8 screened positive for ME/CFS in the recently afflicted, the opposite was true for subjects ill for more than 2 years. Similarly, while low levels of IL-6 suggested early ME/CFS, the reverse was true in subjects over 18 years of age ill for more than 2 years. Conclusions: These preliminary results suggest that IL-1α, 6 and 8 adjusted for illness duration may serve as robust biomarkers, independent of age, in screening for ME/CFS.

systems Biomedicine Volume 1 Issue 3 PF, TJAC, RMdR, and MAR performed computational simulations and analysis of computational results. PF, TJAC, ALS, VAF, and GB, compiled physiological data and developed the immune-endocrine connectivity network. PF, TJAC, and GB performed comparisons between experimental and computational data and interpreted the results. MAF and NGK collected and analyzed the experimental data. TJAC, RMdR, MAR, GdV, and GB conceived of the discrete logical analysis algorithm. All authors contributed to the drafting of this article, and approve of its contents.

Relapsing polychondritis, or RP, is a rare connective tissue disease characterized by relapsing-remitting destructive inflammation of the cartilaginous and other proteoglycan-rich structures in the body. Given the relatively low incidence of RP, a concise clinically relevant guide, focusing on the cutaneous manifestations of this serious disease, is lacking. In this review, we provide the dermatologist with an approach to diagnosing RP and a guide to its initial work-up, and management. We close with an overview of the currently available treatment modalities for RP.

A 43-year-old female receiving immunomodulatory therapy with glatiramer acetate (copaxone, GA) for relapsing, remitting multiple sclerosis was diagnosed with stage IIIB melanoma that recurred <7 months after resection and lymphadenectomy. In preparation for systemic therapy the patient discontinued GA, and shortly thereafter experienced spontaneous and complete clinical and radiographic resolution of her disease. The development and subsequent regression of melanoma in this patient may be due to the use and subsequent discontinuation of GA, and our discussion of the case includes the potential immunologic mechanisms that may provide an explanation for our findings. To the best of our knowledge, this case represents the first reported association between the immunomodulatory agent GA and malignant melanoma.

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