An innovative approach for the evaluation of prolonged disorders of consciousness using NF-L and GFAP biomarkers: a pivotal study

Behavioral assessments during the clinical evaluation in prolonged disorders of consciousness patients could be not sufficient for a correct diagnosis and prognostication. To this aim, we used an innovative approach, involving the ultra-sensitive determination of biological markers, correlating them with imaging parameters to investigate the prolonged disorders of consciousness (pDoC).We assessed the serum concentration of neurofilament light chain(NF-L) and glial fibrillary acidic protein (GFAP) in pDoC (n = 16), and healthy controls (HC, n = 6) as well as several clinical imaging parameters such as Fractional Anisotropy (FA), Whole Brain SUV, and White Matter Hyperintensities volumes (WMH) using PET-MRI acquisition. As for differential diagnosis task, only the imaging WMH volume was able to discriminate between vegetative state/unresponsive wakefulness syndrome (VS/UWS), and minimally conscious state (MCS) patients (p-value < 0.01), while all selected markers (both imaging and in vitro) were able to differentiate between pDoC patients and HC. At subject level, serum NF-L concentrations significantly differ according to clinical progression and consciousness recovery (p-value < 0.01), highlighting a potential play for the longitudinal management of these patients.

Rapid detection of mycoplasma in continuous cell lines using a selective biochemical test

Mycoplasma contamination is a deleterious event for a cell culture laboratory due to the ability of this microorganism to contaminate cell culture leading up to the production of false data or, in the worst cases, to the loss of cell culture itself. Fortunately, mycoplasma can be eradicated by the use of antibiotics, but early detection of contamination is peremptory. Here, we propose the use of a sensitive and specific biochemical test named MycoAlert. In particular, as regards cell cultures not yet treated with antibiotics, sensitivity, specificity, positive and negative predictive values of MycoAlert assay gave excellent scores of 100%, 97%, 89% and 100%, respectively.