However, Baraniuk et al (2005) [11] used a logistic model to predict ME/CFS status based on the cerebrospinal fluid proteome that predicted ME/CFS status with 80% accuracy based on alpha-1-macroglobulin, amyloid precursor-like protein 1, keratin 16, orosomucoid 2, and pigment epithelium-derived factor. Here, KRT16 is linked to myalgic encephalomeyelitis/chronic fatigue syndrome.