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Blood-Based Proteomics for Adult-Onset Focal Dystonias.
Timsina, Jigyasha; Dinasarapu, Ashok; Kilic-Berkmen, Gamze; Budde, John; Sung, Yun Ju; Klein, Adam M; Cruchaga, Carlos; Jinnah, H A.
  • Timsina J; Department of Psychiatry, Washington University School of Medicine, St. Louis, MO, USA.
  • Dinasarapu A; NeuroGenomics and Informatics Center, Washington University School of Medicine, St. Louis, MO, USA.
  • Kilic-Berkmen G; Department of Neurology, Emory University School of Medicine, Atlanta, GA, USA.
  • Budde J; Department of Neurology, Emory University School of Medicine, Atlanta, GA, USA.
  • Sung YJ; Department of Psychiatry, Washington University School of Medicine, St. Louis, MO, USA.
  • Klein AM; NeuroGenomics and Informatics Center, Washington University School of Medicine, St. Louis, MO, USA.
  • Cruchaga C; Department of Psychiatry, Washington University School of Medicine, St. Louis, MO, USA.
  • Jinnah HA; NeuroGenomics and Informatics Center, Washington University School of Medicine, St. Louis, MO, USA.
Ann Neurol ; 96(1): 110-120, 2024 Jul.
Article en En | MEDLINE | ID: mdl-38578115
ABSTRACT

OBJECTIVES:

The adult-onset focal dystonias are characterized by over-active muscles leading to abnormal movements. For most cases, the etiology and pathogenesis remain unknown. In the current study, unbiased proteomics methods were used to identify potential changes in blood plasma proteins.

METHODS:

A large-scale unbiased proteomics screen was used to compare proteins (N = 6,345) in blood plasma of normal healthy controls (N = 49) with adult-onset focal dystonia (N = 143) consisting of specific subpopulations of cervical dystonia (N = 45), laryngeal dystonia (N = 49), and blepharospasm (N = 49). Pathway analyses were conducted to identify relevant biological pathways. Finally, protein changes were used to build a prediction model for dystonia.

RESULTS:

After correction for multiple comparisons, 15 proteins were associated with adult-onset focal dystonia. Subgroup analyses revealed some proteins were shared across the dystonia subgroups while others were unique to 1 subgroup. The top biological pathways involved changes in the immune system, metal ion transport, and reactive oxygen species. A 4-protein model showed high accuracy in discriminating control individuals from dystonia cases [average area under the curve (AUC) = 0.89].

INTERPRETATION:

These studies provide novel insights into the etiopathogenesis of dystonia, as well as novel potential biomarkers. ANN NEUROL 2024;96110-120.
Asunto(s)

Texto completo: 1 Banco de datos: MEDLINE Asunto principal: Trastornos Distónicos / Proteómica Límite: Adult / Aged / Female / Humans / Male / Middle aged Idioma: En Año: 2024 Tipo del documento: Article

Texto completo: 1 Banco de datos: MEDLINE Asunto principal: Trastornos Distónicos / Proteómica Límite: Adult / Aged / Female / Humans / Male / Middle aged Idioma: En Año: 2024 Tipo del documento: Article