PAVELEK, Zbyšek, Oldřich VYŠATA, Vojtěch TAMBOR, Kristýna PIMKOVÁ, Dai Long VU, Kamil KUČA, Pavel ŠTOURAČ a Martin VALIŠ. Proteomic analysis of cerebrospinal fluid for relapsing-remitting multiple sclerosis and clinically isolated syndrome. Biomedical Reports. Athens: Spandidos Publications, roč. 5, č. 1, s. 35-40. ISSN 2049-9434. doi:10.3892/br.2016.668. 2016.
Další formáty:   BibTeX LaTeX RIS
Základní údaje
Originální název Proteomic analysis of cerebrospinal fluid for relapsing-remitting multiple sclerosis and clinically isolated syndrome
Autoři PAVELEK, Zbyšek (203 Česká republika), Oldřich VYŠATA (203 Česká republika), Vojtěch TAMBOR (203 Česká republika), Kristýna PIMKOVÁ (203 Česká republika), Dai Long VU (203 Česká republika), Kamil KUČA (203 Česká republika), Pavel ŠTOURAČ (203 Česká republika, garant, domácí) a Martin VALIŠ (203 Česká republika).
Vydání Biomedical Reports, Athens, Spandidos Publications, 2016, 2049-9434.
Další údaje
Originální jazyk angličtina
Typ výsledku Článek v odborném periodiku
Obor 30000 3. Medical and Health Sciences
Stát vydavatele Řecko
Utajení není předmětem státního či obchodního tajemství
Kód RIV RIV/00216224:14110/16:00093167
Organizační jednotka Lékařská fakulta
Doi http://dx.doi.org/10.3892/br.2016.668
UT WoS 000379957300007
Klíčová slova anglicky multiple sclerosis; clinically isolated syndrome; cerebrospinal fluid; proteomic analysis; biomarkers; proteins
Štítky EL OK
Příznaky Mezinárodní význam, Recenzováno
Změnil Změnila: Ing. Mgr. Věra Pospíšilíková, učo 9005. Změněno: 25. 1. 2017 12:12.
Anotace
Early diagnosis and treatment of multiple sclerosis (MS) in the initial stages of the disease can significantly retard its progression. The aim of the present study was to identify changes in the cerebrospinal fluid proteome in patients with relapsing-remitting MS and clinically isolated MS syndrome who are at high risk of developing MS (case group) compared to healthy population (control) in order to identify potential new markers, which could ultimately aid in early diagnosis of MS. The protein concentrations of each of the 11 case and 15 control samples were determined using a bicinchoninic acid assay. Nanoscale liquid chromatography coupled with tandem mass spectrometry was used for protein identification. Proteomics data were processed using the Perseus software suite and R. The results were filtered using the Benjamini-Hochberg procedure for the false discovery rate (FDR) correction (FDR<0.05). The results showed that, 26 proteins were significantly dysregulated in case samples compared to the controls. Nine proteins were found to be significantly less abundant in case samples, while the abundance of 17 proteins was significantly increased in case samples compared to controls. Three of the proteins were previously linked to RR MS, including immunoglobulin (Ig) gamma-1 chain C region, Ig heavy chain V-III region BRO and Ig kappa chain C region. Three proteins that were uniquely expressed in patients with RR MS were identified and these proteins may serve as prognostic biomarkers for identifying patients with a high risk of developing RR MS.
VytisknoutZobrazeno: 19. 4. 2024 22:10