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Diagnostics
Special Issues
Diagnosis and Management of Multiple Sclerosis and Related Complications
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Diagnosis and Management of Multiple Sclerosis and Related Complications

A special issue of Diagnostics (ISSN 2075-4418). This special issue belongs to the section "Pathology and Molecular Diagnostics".

Deadline for manuscript submissions: closed (31 July 2024) | Viewed by 1608

Special Issue Editor

Dr. Frank Weber

E-Mail Website
Guest Editor
Department of Research and Development, German Air Force Center of Aerospace Medicine, Furstenfeldbruck, Germany
Interests: electromyography; brain computer interfaces; neuroimaging; EEG; neurology; evoked potentials; aviation; cerebrospinal fluid; electroencephalography; myopathy

Special Issue Information

Dear Colleagues, 

We have the pleasure to invite you to submit your work to this Special Issue on "Diagnosis and Management of Multiple Sclerosis and Related Complications". A variety of tests may be used when evaluating a person for MS, including an MRI to detect lesions in the central nervous system, a physical examination, evoked potentials, blood tests, lumbar punctures and other types of tests. We intend to establish a collection of excellent publications around this theme and provide a venue for networking and communication between scholars in the field of diagnosis and management of multiple sclerosis. Original research articles, reviews, short communications and interesting images are welcome, as well as either clinical or basic research. All papers will be fully open access upon publication after peer review.

Dr. Frank Weber
Guest Editor

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

  • multiple sclerosis
  • MRI
  • physical examination
  • evoked potentials
  • blood tests
  • lumbar punctures

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Further information on MDPI's Special Issue polices can be found here.

Published Papers (1 paper)

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Research

17 pages, 450 KiB  
Article
Role of SIRT1 Gene Polymorphisms and Serum Levels in Patients with Multiple Sclerosis
by Kriste Kaikaryte, Greta Gedvilaite, Renata Balnyte, Ingrida Uloziene and Rasa Liutkeviciene
Diagnostics 2023, 13(20), 3287; https://doi.org/10.3390/diagnostics13203287 - 23 Oct 2023
Viewed by 1223
Abstract
Aim: The purpose of this work was to investigate the prevalence of SIRT1 rs3818292, rs3758391, and rs7895833 single nucleotide polymorphisms and SIRT1 serum levels associated with multiple sclerosis (MS) in the Lithuanian population. Methods: A total of 250 MS patients and 250 healthy [...] Read more.
Aim: The purpose of this work was to investigate the prevalence of SIRT1 rs3818292, rs3758391, and rs7895833 single nucleotide polymorphisms and SIRT1 serum levels associated with multiple sclerosis (MS) in the Lithuanian population. Methods: A total of 250 MS patients and 250 healthy controls were included in the study. Genotyping was performed using the RT-PCR method. Statistical analysis was performed using “IBM SPSS version 29.0”. The serum SIRT1 level was determined by the ELISA method. Results: We found that rs3818292 was associated with increased odds of developing MS under the dominant (p = 0.007) and allelic genetic (p = 0.004) models. rs3758391 was associated with increased odds of developing under the co-dominant (p < 0.001), overdominant (p < 0.001), dominant (p < 0.001), and allelic (p = 0.002) genetic models. rs7895833 was associated with increased odds of developing MS under co-dominant (p < 0.001), overdominant (p < 0.001), dominant (p < 0.001), and allelic (p < 0.001) genetic models. Additional sex-differentiated analysis within females revealed that the rs3758391 was associated with an increased odds ratio for the occurrence of MS among the co-dominant (p = 0.006), dominant (p = 0.002), and allelic (p = 0.001). rs7895833 was associated with an increased odds ratio for the development of MS under the co-dominant (p < 0.001), overdominant (p < 0.001), dominant (p < 0.001), and allelic (p < 0.001) genetic models. Age-differentiated analysis showed that rs3758391 was associated with an increased odds ratio for the development of MS in younger patients under the codominant (p = 0.002), overdominant (p = 0.003), and dominant (p = 0.004) genetic models. rs7895833 was associated with an increased odds ratio for the occurrence of MS under the overdominant genetic model (p = 0.013). In elderly patients, rs3818292 was associated with an increased odds ratio for the occurrence of MS under the dominant (p = 0.008) and allelic (p = 0.009) genetic models. rs7895833 was associated with an increased odds ratio for the occurrence of MS under the codominant (p = 0.011 and p = 0.012), dominant (p = 0.001), and allelic (p < 0.001) genetic models. We also found that serum SIRT1 levels were statistically significantly different between MS patients and control group subjects (p < 0.001). In addition, comparison of SIRT1 levels between study groups and genotypes showed that rs3818292 AA (p = 0.001), rs3758391 CT (p < 0.001), and rs7895833 AA (p = 0.002) and AG (p = 0.004) had higher SIRT1 levels in the control group than in the MS group. All results were provided after strict Bonferroni correction. Conclusions: Genetic variations in SIRT1 rs3818292, rs3758391, and rs7895833 are associated with multiple sclerosis, with possible differences in gender and age, as well as lower serum SIRT1 levels. Full article
(This article belongs to the Special Issue Diagnosis and Management of Multiple Sclerosis and Related Complications)
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