Neurofilament light chain as a potential biomarker of disease status in Friedreich ataxia.

BACKGROUND: The present study evaluates serum neurofilament light chain (NfL) as a biomarker of disease features in Friedreich's ataxia (FRDA). METHODS: NfL levels from serum of 117 subjects (85 FRDA patients, 13 carriers, and 19 controls) were assayed and correlated with disease features such as smaller GAA repeat length (GAA1), age, sex, and level of neurological dysfunction. RESULTS: Mean serum NfL levels were higher in FRDA patients than in carriers or unaffected controls in two independent cohorts of subjects. In longitudinal samples from FRDA patients drawn monthly or 1 year apart, values changed minimally. No difference was noted between carriers and controls. NfL levels correlated positively with age in controls and carriers of similar age, (Rs = 0.72, p < 0.0005), whereas NfL levels inversely correlated with age in FRDA patients (Rs = - 0.63, p < 0.001). NfL levels were not associated with sex or GAA1 length in patients, and linear regression revealed a significant relationship between NfL levels in the cohort with age (coefficient = - 0.36, p < 0.001), but not sex (p = 0.64) or GAA1 (p = 0.13). CONCLUSION: Because NfL is elevated in patients, but decreases with age and disease progression, our results suggest that age is the critical determinant of NfL in FRDA (rather than clinical or genetic severity).

Cross-study homogeneity of psoriasis gene expression in skin across a large expression range.

BACKGROUND: In psoriasis, only limited overlap between sets of genes identified as differentially expressed (psoriatic lesional vs. psoriatic non-lesional) was found using statistical and fold-change cut-offs. To provide a framework for utilizing prior psoriasis data sets we sought to understand the consistency of those sets. METHODOLOGY/PRINCIPAL FINDINGS: Microarray expression profiling and qRT-PCR were used to characterize gene expression in PP and PN skin from psoriasis patients. cDNA (three new data sets) and cRNA hybridization (four existing data sets) data were compared using a common analysis pipeline. Agreement between data sets was assessed using varying qualitative and quantitative cut-offs to generate a DEG list in a source data set and then using other data sets to validate the list. Concordance increased from 67% across all probe sets to over 99% across more than 10,000 probe sets when statistical filters were employed. The fold-change behavior of individual genes tended to be consistent across the multiple data sets. We found that genes with <2-fold change values were quantitatively reproducible between pairs of data-sets. In a subset of transcripts with a role in inflammation changes detected by microarray were confirmed by qRT-PCR with high concordance. For transcripts with both PN and PP levels within the microarray dynamic range, microarray and qRT-PCR were quantitatively reproducible, including minimal fold-changes in IL13, TNFSF11, and TNFRSF11B and genes with >10-fold changes in either direction such as CHRM3, IL12B and IFNG. CONCLUSIONS/SIGNIFICANCE: Gene expression changes in psoriatic lesions were consistent across different studies, despite differences in patient selection, sample handling, and microarray platforms but between-study comparisons showed stronger agreement within than between platforms. We could use cut-offs as low as log10(ratio) = 0.1 (fold-change = 1.26), generating larger gene lists that validate on independent data sets. The reproducibility of PP signatures across data sets suggests that different sample sets can be productively compared.