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Molecular Signatures of Normal Pressure Hydrocephalus: A Largescale Proteomic Analysis of Cerebrospinal Fluid.
Kamalian, Aida; Barough, Siavash Shirzadeh; Ho, Sara G; Albert, Marilyn; Luciano, Mark G; Yasar, Sevil; Moghekar, Abhay.
Affiliation
  • Kamalian A; Department of Neurology, Johns Hopkins University School of Medicine, Baltimore, MD 21224, USA.
  • Barough SS; Department of Neurology, Johns Hopkins University School of Medicine, Baltimore, MD 21224, USA.
  • Ho SG; Department of Neurology, Johns Hopkins University School of Medicine, Baltimore, MD 21224, USA.
  • Albert M; Department of Neurology, Johns Hopkins University School of Medicine, Baltimore, MD 21224, USA.
  • Luciano MG; Department of Neurosurgery, Johns Hopkins University School of Medicine, Baltimore, MD 21224, USA.
  • Yasar S; Department of Neurology, Johns Hopkins University School of Medicine, Baltimore, MD 21224, USA.
  • Moghekar A; Department of Medicine, Johns Hopkins University School of Medicine, Baltimore, MD 21224, USA.
bioRxiv ; 2024 Mar 04.
Article de En | MEDLINE | ID: mdl-38496536
ABSTRACT
Given the persistent challenge of differentiating idiopathic Normal Pressure Hydrocephalus (iNPH) from similar clinical entities, we conducted an in-depth proteomic study of cerebrospinal fluid (CSF) in 28 shunt-responsive iNPH patients, 38 Mild Cognitive Impairment (MCI) due to Alzheimer's disease, and 49 healthy controls. Utilizing the Olink Explore 3072 panel, we identified distinct proteomic profiles in iNPH that highlight significant downregulation of synaptic markers and cell-cell adhesion proteins. Alongside vimentin and inflammatory markers upregulation, these results suggest ependymal layer and transependymal flow dysfunction. Moreover, downregulation of multiple proteins associated with congenital hydrocephalus (e.g., L1CAM, PCDH9, ISLR2, ADAMTSL2, and B4GAT1) points to a possible shared molecular foundation between congenital hydrocephalus and iNPH. Through orthogonal partial least squares discriminant analysis (OPLS-DA), a panel comprising 13 proteins has been identified as potential diagnostic biomarkers of iNPH, pending external validation. These findings offer novel insights into the pathophysiology of iNPH, with implications for improved diagnosis.

Texte intégral: 1 Collection: 01-internacional Base de données: MEDLINE Langue: En Journal: BioRxiv Année: 2024 Type de document: Article Pays d'affiliation: États-Unis d'Amérique

Texte intégral: 1 Collection: 01-internacional Base de données: MEDLINE Langue: En Journal: BioRxiv Année: 2024 Type de document: Article Pays d'affiliation: États-Unis d'Amérique