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Updated: Oct 7, 2025

Assessment of Sensorimotor Function in Mouse Models of Parkinson's Disease
Published on: June 17, 2013
Postganglionic Sudomotor Assessment in Early Stage of Multiple System Atrophy and Parkinson Disease: A
Vincenzo Provitera1, Valeria Iodice2, Fiore Manganelli2
1From the Neurology Department (V.P., S.M., G.C., A.S., I.B., M.N.), Skin Biopsy Laboratory, Istituti Clinici Scientifici Maugeri IRCCS, Telese Terme, Italy; Department of Brain, Repair and Rehabilitation (V.I., S.K.), University College London Queen Square Institute of Neurology; Autonomic Unit (V.I., S.K., E.V., F. Valerio), National Hospital for Neurology and Neurosurgery, London, UK; Department of Neurosciences, Reproductive Sciences and Odontostomatology (F.M., R.D., R.I., F. Vitale, L.S., M.N.), University Federico II of Naples; and Clinical Neurophysiology Unit (M.E.), Cardarelli Hospital, Naples, Italy. vincenzo.provitera@icsmaugeri.it.
Background And Objectives:
Sudomotor impairment has been recognized as a key feature in differentiating Parkinson disease (PD) and multiple system atrophy-parkinsonian type (MSA-P), with the latter characterized by diffuse anhidrosis in prospective study, including patients in late stage of disease. We aimed to evaluate morphologic and functional postganglionic sudomotor involvement in patients with newly diagnosed MSA-P and PD to identify possible biomarkers that might be of help in differentiating the 2 conditions in the early stage.
Methods:
One hundred patients with parkinsonism within 2 years from onset of motor symptoms were included in the study. At the time of recruitment, questionnaires to assess nonmotor, autonomic, and small fiber symptoms were administered, and patients underwent postganglionic sudomotor function assessment by the dynamic sweat test and punch skin biopsy from the distal leg. Skin samples were processed for indirect immunofluorescence with a panel of antibodies, including noradrenergic and cholinergic markers. The density of intraepidermal, sudomotor, and pilomotor nerve fibers was measured on confocal images with dedicated software. A follow-up visit 12 months after recruitment was performed to confirm the diagnosis.
Results:
We recruited 57 patients with PD (M/F 36/21, age 63.5 ± 9.4 years) and 43 patients with MSA-P (M/F 27/16, age 62.3 ± 9.0 years). Clinical scales and questionnaires showed a more severe clinical picture in patients with MSA-P compared to those with PD. Sweating output and intraepidermal, pilomotor, and sudomotor nerve densities, compared to controls, were lower in both groups but with a greater impairment in patients with MSA-P. Pilomotor and sudomotor nerve density correlated with sweating function and with nonmotor clinical symptoms. A composite sudomotor parameter defined as the arithmetic product of sweat production multiplied by the density of sudomotor fibers efficiently separated the 2 populations; the receiver operating characteristics curve showed an area under the curve of 0.83.
Discussion:
Dynamic sweat test and the quantification of cutaneous autonomic nerves proved to be a sensitive morpho-functional approach to assess the postganglionic component of the sudomotor pathway, revealing a more severe involvement in MSA-P than in PD early in the disease course. This approach can be applied to differentiate the 2 conditions early.
Classification Of Evidence:
This study provides Class II evidence that postganglionic sudomotor morpho-functional assessment accurately distinguish patients with PD from patients with MSA-P.
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