scholarly journals Speech Pathology-Specific Questionnaire for Persons with Multiple Sclerosis (SMS): adaptation, validation and preliminary assessment of the diagnostic potential.

2021 ◽  
Vol 49 ◽  
pp. 102796
Author(s):  
Joanna Morawska ◽  
Ewa Niebudek-Bogusz ◽  
Mariusz Stasiołek ◽  
Mariola Świderek-Matysiak ◽  
Wioletta Pietruszewska
2014 ◽  
Vol 11 (12) ◽  
pp. 2955-2965 ◽  
Author(s):  
Hélène Bisseriex ◽  
Amandine Guinet‐Lacoste ◽  
Marie Chevret‐Méasson ◽  
Pierre Costa ◽  
Samer Sheikh Ismael ◽  
...  

2020 ◽  
Vol 6 (3) ◽  
pp. 205521732094678 ◽  
Author(s):  
Nik Sol ◽  
Cyra E Leurs ◽  
Sjors GJG In ’t Veld ◽  
Eva M Strijbis ◽  
Adrienne Vancura ◽  
...  

Background In multiple sclerosis (MS), clinical assessment, MRI and cerebrospinal fluid are important in the diagnostic process. However, no blood biomarker has been confirmed as a useful tool in the diagnostic work-up. Objectives Blood platelets contain a rich spliced mRNA repertoire that can alter during megakaryocyte development but also during platelet formation and platelet circulation. In this proof of concept study, we evaluate the diagnostic potential of spliced blood platelet RNA for the detection of MS. Methods We isolated and sequenced platelet RNA of blood samples obtained from 57 MS patients and 66 age- and gender-matched healthy controls (HCs). 60% was used to develop a particle swarm-optimized (PSO) support vector machine classification algorithm. The remaining 40% served as an independent validation series. Results In total, 1249 RNAs with differential spliced junction expression levels were identified between platelets of MS patients as compared to HCs, including EPSTI1, IFI6, and RPS6KA3, in line with reported inflammatory signatures in the blood of MS patients. The RNAs were subsequently used as input for a MS classifier, capable of detecting MS with 80% accuracy in the independent validation series. Conclusions Spliced platelet RNA may enable the blood-based diagnosis of MS, warranting large-scale validation.


1992 ◽  
Vol 77 (2) ◽  
pp. 223-229 ◽  
Author(s):  
Marc S. Goldman ◽  
Patrick J. Kelly

✓ In the past, intention tremor has responded well to selected neuroablative procedures; however, objective symptomatic and functional outcomes of ventralis lateralis (VL) thalamotomy specifically for intention tremor in the post-computerized tomography era has rarely been reported. This series explored the symptomatic and functional impact of VL thalamotomy on 14 patients presenting at the Mayo Clinic with severe, refractory intention tremor due to multiple sclerosis (five patients), trauma (four patients), or stroke (five patients). General neurological examinations, psychometric evaluations, speech pathology assessments, and neuroradiological scans were performed. Pre- and postoperative disability were graded according to a modified form of an established rating scale for tremor. All patients received VL radiofrequency thalamotomies utilizing neurophysiological recording and stimulation control. Contralateral targeted upper-extremity tremor remained symptomatically absent or markedly reduced in 81.8% of cases (mean follow-up period 23.4 months). The median disability score was reduced by 12 points (0.02 < p < 0.05). Persistent surgical morbidity was limited to two patients with mild, nondisabling dysarthrias. One elderly patient died of pulmonary complications 2 weeks postoperatively. There were no reported surgically induced exacerbations in multiple sclerosis; however, some of these patients exhibited difficulties with electrophysiological localization. These results compare favorably with those reported in the literature and confirm that stereotactic VL thalamotomy for debilitating intention tremor carries a low surgical risk and can be an effective treatment option for properly selected patients.


2010 ◽  
Vol 7 (1) ◽  
pp. 72 ◽  
Author(s):  
Zohara Sternberg ◽  
Cassandra Hennies ◽  
Daniel Sternberg ◽  
Ping Wang ◽  
Peter Kinkel ◽  
...  

2013 ◽  
Vol 2013 ◽  
pp. 1-20 ◽  
Author(s):  
Serafeim Katsavos ◽  
Maria Anagnostouli

During the last decades, the effort of establishing satisfactory biomarkers for multiple sclerosis has been proven to be very difficult, due to the clinical and pathophysiological complexities of the disease. Recent knowledge acquired in the domains of genomics-immunogenetics and neuroimmunology, as well as the evolution in neuroimaging, has provided a whole new list of biomarkers. This variety, though, leads inevitably to confusion in the effort of decision making concerning strategic and individualized therapeutics. In this paper, our primary goal is to provide the reader with a list of the most important characteristics that a biomarker must possess in order to be considered as reliable. Additionally, up-to-date biomarkers are further divided into three subgroups, genetic-immunogenetic, laboratorial, and imaging. The most important representatives of each category are presented in the text and for the first time in a summarizing workable table, in a critical way, estimating their diagnostic potential and their efficacy to correlate with phenotypical expression, neuroinflammation, neurodegeneration, disability, and therapeutical response. Special attention is given to the “gold standards” of each category, like HLA-DRB1* polymorphisms, oligoclonal bands, vitamin D, and conventional and nonconventional imaging techniques. Moreover, not adequately established but quite promising, recently characterized biomarkers, like TOB-1 polymorphisms, are further discussed.


2019 ◽  
Vol 20 (6) ◽  
pp. 1265 ◽  
Author(s):  
Ilaria Cicalini ◽  
Claudia Rossi ◽  
Damiana Pieragostino ◽  
Luca Agnifili ◽  
Leonardo Mastropasqua ◽  
...  

Metabolomics based on mass spectrometry represents an innovative approach to characterize multifactorial diseases, such as multiple sclerosis (MuS). To date, the most important biomarker source for MuS diagnosis is the cerebrospinal fluid. However, an important goal for research is to identify new molecules in more easily accessible biological fluids. A very interesting biofluid in MuS is represented by tears, considered as an intermediate fluid between the cerebrospinal fluid and serum. In this work, we developed a merged strategy for the analysis of lipids containing choline by Liquid Chromatography coupled to Tandem Mass Spectrometry (LC-MS/MS), as well as for the targeted analysis of free carnitine, acylcarnitines and aminoacids by direct infusion mass spectrometry. Samples for both metabolomics and lipidomics approaches were obtained in a single extraction procedure from tears of patients affected by MuS and healthy controls. Tear lipidomics showed 30 phospholipids significantly modulated and, notably, many sphingomyelins resulted lower in MuS. Moreover, the metabolomics approach carried out both on tears and serum highlighted the diagnostic potential of specific aminoacids and acylcarnitines. In conclusion, the metabolic profiling of tears appears to reflect the pathological conditions of the central nervous system, suggesting that the molecular repository of tears can be considered as a source of potential biomarkers for MuS.


2017 ◽  
Vol 24 (7) ◽  
pp. 910-918 ◽  
Author(s):  
Mariapaola Marino ◽  
Giovanni Frisullo ◽  
Gabriele Di Sante ◽  
Daniela Maria Samengo ◽  
Carlo Provenzano ◽  
...  

Background: Multiple sclerosis (MS) is an autoimmune disease for which auto-antibodies fully validated as diagnostic and prognostic biomarkers are widely desired. Recently, an immunoreactivity against the inward rectifying potassium channel 4.1 (KIR4.1) has been reported in a large proportion of a group of MS patients, with amino acids 83–120 being the major epitope. Moreover, a strong correlation between anti-KIR4.183–120 and anti-full-length-protein auto-antibodies titer was reported. However, this finding received limited confirmation. Objective: Validation of the diagnostic potential of anti-KIR4.183–120 antibodies in 78 MS patients, 64 healthy blood donors, and 42 individuals with other neurological diseases. Methods: Analysis of anti-KIR4.183–120 antibodies by enzyme-linked immunosorbent assay (ELISA) using a mouse antiserum we produced as a new ELISA reliability control. Additionally, evaluation of reactivity against 293-T cells transiently transfected with full-length KIR4.1 by flow cytometry. Results: We found antibodies to KIR4.183–120 only in 13 out of 78 (16.6%) MS patients; among these, only 2 were positive for anti-full-length KIR4.1 antibodies. Conclusion: Employing a new reliability control and a new cytofluorometric assay, we cannot support anti-KIR4.183–120 auto-antibodies as a reliable biomarker in MS.


2021 ◽  
Vol 12 ◽  
Author(s):  
Yijun Shi ◽  
Yaowei Ding ◽  
Guoge Li ◽  
Lijuan Wang ◽  
Rasha Alsamani Osman ◽  
...  

ObjectiveHere, we aimed to identify protein biomarkers that could rapidly and accurately diagnose multiple sclerosis (MS) using a highly sensitive proteomic immunoassay.MethodsTandem mass tag (TMT) quantitative proteomic analysis was performed to determine the differentially expressed proteins (DEPs) in cerebrospinal fluid (CSF) samples collected from 10 patients with MS and 10 non-inflammatory neurological controls (NINCs). The DEPs were analyzed using bioinformatics tools, and the candidate proteins were validated using the ELISA method in another cohort comprising 160 samples (paired CSF and plasma of 40 patients with MS, CSF of 40 NINCs, and plasma of 40 healthy individuals). Receiver operating characteristic (ROC) curves were used to determine the diagnostic potential of this method.ResultsCompared to NINCs, we identified 83 CSF-specific DEPs out of a total of 343 proteins in MS patients. Gene ontology (GO) enrichment analysis revealed that these DEPs are mainly involved in platelet degranulation, negative regulation of proteolysis, and post-translational protein modification. Pathway enrichment analysis revealed that the complement and coagulation cascades, Ras signaling pathway, and PI3K-Akt signaling pathway are the main components. Insulin-like growth factor-binding protein 7 (IGFBP7), insulin-like growth factor 2 (IGF2), and somatostatin (SST) were identified as the potential proteins with high scores, degree, and centrality in the protein-protein interaction (PPI) network. We validated the expression of these three proteins using ELISA. Compared to NINCs, the level of CSF IGFBP7 was significantly upregulated, and the level of CSF SST was significantly downregulated in the MS group.ConclusionOur results suggest that SST and IGFBP7 might be associated with the pathogenesis of MS and would be helpful in diagnosing MS. Since IGFBP7 was used to classify relapsing remitting MS (RRMS) and secondary progressive MS (SPMS) patients, therefore, it may act as a potential key marker and therapeutic target in MS.


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