Parkinson’s Disease is the second most common neurodegenerative disorder, affecting 1–2% of the elderly population. Its diagnosis is still based on the identification of motor symptoms when a considerable number of dopaminergic neurons are already lost. The development of translatable biomarkers for accurate diagnosis at the earliest stages of PD is of extreme interest. Several microRNAs have been associated with PD pathophysiology. Consequently, microRNAs are emerging as potential biomarkers, especially due to their presence in Cerebrospinal Fluid and peripheral circulation. This study employed small RNA sequencing, protein binding ligand assays and machine learning in a cross-sectional cohort comprising 40 early stage PD patients and 40 well-matched controls. We identified a panel comprising 5 microRNAs (Let-7f-5p, miR-27a-3p, miR-125a-5p, miR-151a-3p and miR-423-5p), with 90% sensitivity, 80% specificity and 82% area under the curve (AUC) for the differentiation of the cohorts. Moreover, we combined miRNA profiles with hallmark-proteins of PD and identified a panel (miR-10b-5p, miR-22-3p, miR-151a-3p and α-synuclein) reaching 97% sensitivity, 90% specificity and 96% AUC. We performed a gene ontology analysis for the genes targeted by the microRNAs present in each panel and showed the likely association of the models with pathways involved in PD pathogenesis.

Drug-induced kidney injury (DIKI) remains a significant concern during drug development. Whereas FDA-endorsed urinary protein biomarkers encounter limitations including the lack of translatability, there is a considerable interest surrounding the application of microRNAs (miRNAs) in the renal biomarker space. Current knowledge about the value of these novel biomarkers for subacute preclinical rodent studies is still sparse. In this work, Wistar rats were treated with three nephrotoxic compounds-cisplatin (CIS, proximal tubule, 2.5 mg/kg, intraperitoneal [i.p.]), puromycin (PUR, glomerulus, 20/10 mg/kg, i.p.) and N-phenylanthranylic acid (NPAA, collecting ducts, 500 mg/kg, per os)-for up to 28 days to evaluate the performance of a panel of 68 urinary miRNAs as potential nephron segment-specific biomarkers. Out of these 68 kidney injury associated-miRNAs, our selection strategy ultimately revealed rno-miR-34c-5p significantly dysregulated after CIS single administration, and rno-miR-335 and rno-miR-155-5p significantly dysregulated after PUR treatment. In contrast, NPAA daily administration strongly altered the expression profile of 28 miRNAs, with rno-miR-210-3p displaying the most robust changes. A thorough evaluation showed that these miRNA candidates could complement urinary protein biomarkers to detect CIS- or PUR-induced kidney injury in a subacute setting, with a mechanistic (based on rno-miR-34c-5p) and/or a kidney injury detection potential. Our results also provide the first evidence that urinary miRNAs could enhance the detection of collecting duct damage. Overall, these data improve our understanding of the utility of urinary miRNAs as DIKI biomarkers in a subacute DIKI preclinical setting and support the value of using urinary biomarker panels comprising proteins and miRNAs.

Cerebrospinal fluid (CSF) has often been used as the source of choice for biomarker discovery with the goal to support the diagnosis of neurodegenerative diseases. For this study, we selected 15 CSF protein markers which were identified in previously published clinical investigations and proposed as potential biomarkers for PD diagnosis. We aimed at investigating and confirming their suitability for early stage diagnosis of the disease. The current study was performed in a two-fold confirmatory approach. Firstly, the CSF protein markers were analysed in confirmatory cohort I comprising 80 controls and 80 early clinical PD patients. Through univariate analysis we found significant changes of six potential biomarkers (α-syn, DJ-1, Aβ42, S100β, p-Tau and t-Tau). In order to increase robustness of the observations for potential patient differentiation, we developed–based on a machine learning approach—an algorithm which enabled identifying a panel of markers which would improve clinical diagnosis. Based on that model, a panel comprised of α-syn, S100β and UCHL1 were suggested as promising candidates. Secondly, we aimed at replicating our observations in an independent cohort (confirmatory cohort II) comprising 30 controls and 30 PD patients. The univariate analysis demonstrated Aβ42 as the only reproducible potential biomarker. Taking into account both technical and clinical aspects, these observations suggest that the large majority of the investigated CSF proteins currently proposed as potential biomarkers lack robustness and reproducibility in supporting diagnosis in the early clinical stages of PD.

The dissemination of individual tumor cells is a common phenomenon in solid cancers. Detection of tumor cells in bone marrow disseminated tumor cells (DTC) and in peripheral blood circulating tumor cells (CTC) in nonmetastatic situation is of high prognostic significance. Compared to breast, colon and prostate cancers, the studies on CTC and DTC in head and neck cancers are sparse. The objective of our study was to detect DTC in drains after neck dissection. Fourteen patients undergoing surgery for stages III and IV head and neck cancers were enrolled in this study--twelve presenting with squamous cell carcinoma and two with adenocarcinoma. Redon drain analysis was performed by the Cellsearch method using immunomagnetic and fluorescence approaches. A positivity threshold value was set at 2DTC/7.5 ml of the sample. Tumor cells were detected in drains of 69 % of patients a few days after surgery. The range of quantification was 3-2,094 DTC/5 ml and we showed morphological differences between the two types of carcinoma cells. DTC were detected after neck dissection both in squamous cell carcinoma and in adenocarcinoma. Potential clinical significance of tumor cells needs to be further investigated as their presence could affect pre-surgical and post-operative treatments.