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Cerebrospinal fluid dopa-decarboxylase is a biomarker of dopaminergic dysfunction

Sperandei, S.; Paolini Paoletti, F.; De Pauw, M.; Gaetani, L.; Tranfaglia, C.; Goossens, J.; Stoops, E.; Vanmechelen, E.; Parnetti, L.; Bellomo, G.; Chiasserini, D.

2026-10-14 neurology
10.64898/2026.10.13.26364985 medRxiv
Show abstract

Background. Nigrostriatal dopaminergic dysfunction, a biological anchor of Parkinson's disease (PD), is routinely assessed using single-photon emission computed tomography of the dopamine transporter (DaT-SPECT). Dopa decarboxylase (DDC) in cerebrospinal fluid (CSF) is a promising biomarker of dopaminergic dysfunction, but its association with DaT-SPECT has to be demonstrated. Objectives. To investigate the association of CSF DDC with DaT-SPECT. Methods. We first analysed proteomic and DaT-SPECT data from the Parkinson's Progression Markers Initiative (PPMI), including PD (n=891), prodromal PD (n=867) and healthy controls (n=161). We then verified this association in a single-center clinical cohort (UNIPG), including PD/Dementia with Lewy Bodies (DLB) (n=78), atypical parkinsonisms (AP, n=11), other neurodegenerative diseases (OND, n=25) and controls (CTRL, n=40). Here, CSF DDC was measured by a novel fully automated quantitative immunoassay. Results. In PPMI, among 129 proteins assessed, DDC showed the strongest association with DaT-SPECT ({beta} = -0.132, FDR = 6.92 x 10-33). Across PPMI and UNIPG cohorts, DDC correlated with striatal binding ratio (SBR) ({rho} = -0.377, P < 0.001; {rho} = -0.466, P < 0.001, respectively) and accurately discriminated positive from negative scans (AUC 0.811, 95% CI 0.762-0.859; AUC 0.870, 95% CI 0.777-0.963, respectively). In PPMI prodromal cases, higher DDC predicted faster motor progression. In UNIPG, DDC distinguished PD/DLB and AP from OND and CTRL groups (AUC 0.830, 95% CI 0.764-0.896), independently of dopaminergic treatment. Conclusion. CSF DDC reflects nigrostriatal dopaminergic dysfunction, representing a potential quantitative biochemical alternative to DaT-SPECT that might be readily implemented via automated immunoassays.

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