Literature DB >> 28679601

Prospective clinical and DaT-SPECT imaging in premotor LRRK2 G2019S-associated Parkinson disease.

María Sierra1, Isabel Martínez-Rodríguez1, Pascual Sánchez-Juan1, Isabel González-Aramburu1, Mikel Jiménez-Alonso1, Antonio Sánchez-Rodríguez1, José Berciano1, Ignacio Banzo1, Jon Infante2.   

Abstract

OBJECTIVE: To assess the value of baseline clinical and imaging biomarkers in a cohort of asymptomatic LRRK2 G2019S carriers for predicting conversion to Parkinson disease (PD) at 4 years.
METHODS: Thirty-two asymptomatic carriers of LRRK2 G2019S mutation underwent baseline and 4-year evaluation including clinical examination (Unified Parkinson's Disease Rating Scale, part III, olfaction University of Pennsylvania Smell Identification Test [UPSIT]) and dopamine transporter (DaT) SPECT (123I-ioflupane). Visual and semiquantitative analysis of images was performed. The specific striatal binding ratio was calculated (striatal region of interest [ROI] - occipital ROI/occipital ROI).
RESULTS: Three carriers, asymptomatic at baseline, had converted to PD at 4-year evaluation. Twenty-three participants were fully evaluated. PD converters had lower striatal DaT binding at baseline than nonconverters (p = 0.002). A baseline scan with a ratio of bilateral striatal uptake below 1 predicted conversion to PD within the 4-year period with high sensitivity and specificity (area under the curve 1; p = 0.006). The slope of DaT binding decline between the 2 scans was similar in PD converters and nonconverters. Age-adjusted UPSIT score at baseline and at 4 years was similar in both groups.
CONCLUSIONS: Semiquantitative DaT-SPECT could be used to predict early conversion to PD in asymptomatic carriers of the LRRK2 G2019S mutation. Rate of conversion to PD at 4 years in this cohort aged ∼64 years was 12%. The slope of DaT binding decline on DaT-SPECT imaging seems to be similar across different stages of the premotor period.
© 2017 American Academy of Neurology.

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Year:  2017        PMID: 28679601      PMCID: PMC5539730          DOI: 10.1212/WNL.0000000000004185

Source DB:  PubMed          Journal:  Neurology        ISSN: 0028-3878            Impact factor:   9.910


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