Special Issue "Diagnostic and Prognostic Biomarkers of Neurodegenerative Diseases"

A special issue of Diagnostics (ISSN 2075-4418). This special issue belongs to the section "Clinical Laboratory Medicine".

Deadline for manuscript submissions: closed (30 April 2023) | Viewed by 1214

Special Issue Editors

Unit of Neurology, Department of Biomedicine, Neurosciences and Advanced Diagnostics, University of Palermo, 90127 Palermo, Italy
Interests: neurodegenerative dementia; cognition; Alzheimer’s disease; biomarkers
Special Issues, Collections and Topics in MDPI journals
ALS Clinical Research Center, Department of Experimental Biomedicine, Neuroscience, and Advanced Diagnostic (Bi.N.D.), University of Palermo, 90127 Palermo, Italy
Interests: neurodegeneration; aging; amyotrophic lateral sclerosis; dementia; biomarkers
Special Issues, Collections and Topics in MDPI journals

Special Issue Information

Dear Colleagues,

The study of neurodegenerative disorders (ND) represents a real challenge for the global scientific community. NDs are a heterogenic group of progressive diseases in which multi-factorial pathogenesis with overlapping clinical features and genetics is recognized. NDs, such as amyotrophic lateral sclerosis (ALS), Alzheimer’s disease (AD), Parkinson’s disease (PD), and Huntington’s disease (HD), share the background of incorrectly folded proteins that aggregate in the cytoplasm of affected neurons and act as a trigger for neurodegeneration, but a clear etiology is far from being described. In this context, the study of potential biomarkers that are useful for diagnostic and prognostic purposes contributes to an improved understanding of what mechanisms are involved in the early phases of neurodegenerative processes, and how they can contribute to the progression of the disease.

The present Special Issue aims to describe the advances in the field of biomarkers involved in NDs, including amyotrophic lateral sclerosis, Alzheimer’s disease, frontotemporal lobar degenerative diseases, Parkinson’s disease, Huntington’s disease, and multiple sclerosis, with a focus on their diagnostic and/or prognostic role.

We would like to invite you to submit original research articles and reviews that focus on, but are not limited to, new findings on biomarkers, the underlying mechanisms, and their application for therapeutic purposes.

Dr. Tommaso Piccoli
Dr. Tiziana Colletti
Guest Editors

Manuscript Submission Information

Manuscripts should be submitted online at www.mdpi.com by registering and logging in to this website. Once you are registered, click here to go to the submission form. Manuscripts can be submitted until the deadline. All submissions that pass pre-check are peer-reviewed. Accepted papers will be published continuously in the journal (as soon as accepted) and will be listed together on the special issue website. Research articles, review articles as well as short communications are invited. For planned papers, a title and short abstract (about 100 words) can be sent to the Editorial Office for announcement on this website.

Submitted manuscripts should not have been published previously, nor be under consideration for publication elsewhere (except conference proceedings papers). All manuscripts are thoroughly refereed through a single-blind peer-review process. A guide for authors and other relevant information for submission of manuscripts is available on the Instructions for Authors page. Diagnostics is an international peer-reviewed open access semimonthly journal published by MDPI.

Please visit the Instructions for Authors page before submitting a manuscript. The Article Processing Charge (APC) for publication in this open access journal is 2600 CHF (Swiss Francs). Submitted papers should be well formatted and use good English. Authors may use MDPI's English editing service prior to publication or during author revisions.

Keywords

  • neurodegenerative disorders
  • dementia
  • motor neurone disease
  • Parkinson’s disease
  • synucleinopathies
  • tauopathies

Published Papers (1 paper)

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Research

Article
Diagnostic Potential of Two Novel Biomarkers for Neuromyelitis Optica Spectrum Disorder and Multiple Sclerosis
Diagnostics 2023, 13(9), 1572; https://doi.org/10.3390/diagnostics13091572 - 27 Apr 2023
Viewed by 916
Abstract
Background: Currently, no tests can definitively diagnose and distinguish neuromyelitis optica spectrum disorder (NMOSD) from multiple sclerosis (MS). Methods: Initially, cerebrospinal fluid (CSF) proteomics were employed to uncover the novel biomarkers that differentiate NMOSD from MS into cohorts of 10 MS and 10 [...] Read more.
Background: Currently, no tests can definitively diagnose and distinguish neuromyelitis optica spectrum disorder (NMOSD) from multiple sclerosis (MS). Methods: Initially, cerebrospinal fluid (CSF) proteomics were employed to uncover the novel biomarkers that differentiate NMOSD from MS into cohorts of 10 MS and 10 NMOSD patients. Subsequently, screening biomarkers were validated using an enzyme-linked immunosorbent assay method and CSF and serum samples from 20 MS patients, 20 NMOSD patients, 20 non-inflammatory neurological controls, and 20 healthy controls. Results: In study cohort, insulin-like growth factor-binding protein 7 (IGFBP7) and lysosome-associated membrane glycoprotein 2 (LAMP2) were screened. In validation cohort, serum and CSF IGFBP7 not only exhibited higher levels in MS and NMOSD patients than controls, but also had greatest area under the curve (AUC, above or equal to 0.8) in MS and NMOSD diagnoses. Serum IGFBP7 (0.945) and CSF IGFBP7 (0.890) also had the greatest AUCs for predicting MS progression, while serum LAMP2 had a moderate curve (0.720). Conclusions: IGFBP7 was superior in diagnosing MS and NMOSD, and IGFBP7 and serum LAMP2 performed exceptionally well in predicting the MS progression. These results offered reasons for further investigations into the functions of IGFBP7 and LAMP2 in MS and NMOSD. Full article
(This article belongs to the Special Issue Diagnostic and Prognostic Biomarkers of Neurodegenerative Diseases)
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