The identification of blood biomarkers appears to be a means of improving diagnosis accuracy in Parkinson's disease (PD) and atypical parkinsonian syndromes (APS). We, therefore, evaluate the performance of neurodegeneration, oxidative stress and lipid metabolism plasma biomarkers to distinguish PD from APS.

This was a monocentric study with a cross-sectional design. Plasma levels and discriminating power of neurofilament light chain (NFL), malondialdehyde (MDA) and 24S-Hydroxycholesterol (24S-HC) were assessed in patients with clinical diagnoses of PD or APS.

In total, 32 PD cases and 15 APS cases were included. Mean disease durations were 4.75 years in PD group and 4.2 years in APS group. Plasma levels of NFL, MDA and 24S-HC differed significantly between the APS and PD groups (P=0.003; P=0.009; P=0.032, respectively). NFL, MDA and 24S-HC discriminated between PD and APS (AUC=0.76688; AUC=0.7375; AUC=0.6958, respectively). APS diagnosis significantly increased with MDA level≥23.628nmol/mL (OR: 8.67, P=0.001), NFL level≥47.2pg/mL (OR: 11.92, P<0.001) or 24S-HC level≤33.4pmol/mL (OR: 6.17, P=0.008). APS diagnosis considerably increased with the combination of NFL and MDA levels beyond cutoff values (OR: 30.67, P<0.001). Finally, the combination of NFL and 24S-HC levels, or MDA and 24S-HC levels, or all three biomarkers’ levels beyond cutoff values systematically classified patients in the APS group.

Our results suggest that 24S-HC and especially MDA and NFL could be helpful for differentiating PD from APS. Further studies will be needed to reproduce our findings on larger, prospective cohorts of patients with parkinsonism evolving for less than 3 years.