• MeSH
• Leukocyte Common Antigens MeSH
• Fibronectins metabolism   MeSH
• Heparin metabolism   MeSH
• Lectins MeSH
• Binding Sites MeSH

Pochopení vztahu mezi senzomotorickými proměnnými a exerkiny, které ovlivňují funkci mozku a kognici, nám umožňuje hlouběji porozumět biologickému procesu stárnutí. Hlavním cílem této studie bylo zjistit, jak silně jsou mozkový neurotrofický faktor (brain-derived neurotrophic factor, BDNF), irisin, svalová hmota a svalová síla asociovány s výsledky testů vybraných kognitivních funkcí u starších žen a jak dobře je predikují. Padesát sedm starších žen (průměrný věk 70,4 ± 4,1 roku) absolvovalo baterii neuropsychologických testů, měření izometrické dynamometrie a bioelektrické impedance. Hladiny v krevním séru sledovaných exerkinů byly stanoveny enzymatickým imunosorbentním testem (ELISA). Pro testování predikcí byly využity hierarchické vícenásobné regresní modely. Odhadli jsme, že rozptyl 46,1 % v krátkodobé paměti byl zapříčiněn hladinami BDNF v séru, přičemž druhým statisticky významným prediktorem byl věk (beta = –0,22; p = 0,030). Síla dolních končetin (lower limb strength, LLS) prokázala významnou prediktivní sílu jak u paměti – bezprostřední vybavení (beta = 0,39; p = 0,004), tak u paměti – oddálené vybavení (beta = 0,45; p = 0,001). Hladiny BDNF v séru byly významným prediktorem u oddáleného vybavení (beta = 0,29; p = 0,048). Přidání hladin BDNF do modelu prokázalo významné zvýšení jeho prediktivní síly o přibližně 5,6 % (p = 0,048) u paměti – oddálené vybavení. Index kosterní svalové hmoty (skeletal muscle index, SMI) a úroveň vzdělání byly významnými prediktory mentální flexibility. Byla zjištěna silná pozitivní asociace mezi hladinami BDNF, irisinem, svalovou silou a kognitivní funkcí, přičemž irisin a svalová síla jsou silnými prediktory hladin BDNF u starších žen. Studie byla realizována s podporou grantu Univerzity Karlovy – PRIMUS/19/HUM/012, Specifického vysokoškolského výzkumu SVV 260599, projektu COOPERATIO a Grantové agentury UK číslo grantu 268321. Korespondenční adresa: PhDr. Veronika Holá Katedra gymnastiky a úpolových sportů FTVS UK José Martího 269/31 162 52 Praha 6-Veleslavín e-mail: veronika.hola@ftvs.cuni.cz

Understanding the relationship between sensorimotor variables and exerkines related to brain function and cognition may help better understand biological ageing. The main aim of this study was to determine how strongly brain-derived neurotrophic factor (BDNF), irisin, muscle mass and muscle strength are associated and predict scores on selected cognitive domain tests in older women. Fifty seven older women (mean age 70.4 ± 4.1 years) underwent a battery of cognitive and psychological tests and measurements of isometric dynamometry and bioelectrical impedance. Serum exerkines levels were measured by enzyme-linked immunosorbent assay (ELISA). Hierarchical multiple regression models were used to test the predictions. We estimated that 46.1% of the variance in short-term memory was accounted for by serum BDNF levels, with age being the second statistically significant predictor (Beta = -0.22; p = 0.030). Lower limb strength (LLS) showed significant predictive power in both immediate (Beta = 0.39; p = 0.004) and delayed memory (Beta = 0.45; p = 0.001), serum BDNF levels were a significant predictor in delayed memory (Beta = 0.29; p = 0.048). Adding serum BDNF levels to the model showed a significant increase in predictive power of approximately 5.6% (p = 0.048) in delayed memory. Skeletal muscle index (SMI) and education level were significant predictors of mental flexibility. A strong positive association between BDNF levels, irisin, muscle strength, and cognitive function was found, with irisin and muscle strength being strong predictors of BDNF levels in older women.

• Keywords
• irisin,
• MeSH
• Fibronectin Type III Domain physiology   MeSH
• Cognition physiology   MeSH
• Cognitive Aging * physiology   MeSH
• Humans MeSH
• Brain-Derived Neurotrophic Factor blood   MeSH
• Neuropsychological Tests * statistics & numerical data   MeSH
• Memory physiology   MeSH
• Prognosis MeSH
• Cross-Sectional Studies MeSH
• Regression Analysis MeSH
• Aged MeSH
• Muscular Atrophy etiology   MeSH
• Muscle Strength physiology   MeSH
• Check Tag
• Humans MeSH
• Aged MeSH
• Female MeSH
• Publication type
• Research Support, Non-U.S. Gov't MeSH

Dominant missense variants in MYBPC1 encoding slow Myosin Binding Protein-C (sMyBP-C) have been increasingly linked to arthrogryposis syndromes and congenital myopathy with tremor. Herein, we describe novel compound heterozygous variants - NM_002465.4:[c.2486_2492del];[c.2663A > G] - present in fibronectin-III (Fn-III) C7 and immunoglobulin (Ig) C8 domains, respectively, manifesting as severe, early-onset distal arthrogryposis type-1, with the carrier requiring intensive care and several surgical interventions at an early age. Computational modeling predicts that the c.2486_2492del p.(Lys829IlefsTer7) variant destabilizes the structure of the Fn-III C7 domain, while the c.2663A > G p.(Asp888Gly) variant causes minimal structural alterations in the Ig C8 domain. Although the parents of the proband are heterozygous carriers for a single variant, they exhibit no musculoskeletal defects, suggesting a complex interplay between the two mutant alleles underlying this disorder. As emerging novel variants in MYBPC1 are shown to be causatively associated with musculoskeletal disease, it becomes clear that MYBPC1 should be included in relevant genetic screenings.

• MeSH
• Arthrogryposis * genetics   metabolism   MeSH
• Humans MeSH
• Mutation, Missense MeSH
• Muscular Diseases * MeSH
• Check Tag
• Humans MeSH
• Publication type
• Journal Article MeSH

Interferon-γ receptor 2 is a cell-surface receptor that is required for interferon-γ signalling and therefore plays a critical immunoregulatory role in innate and adaptive immunity against viral and also bacterial and protozoal infections. A crystal structure of the extracellular part of human interferon-γ receptor 2 (IFNγR2) was solved by molecular replacement at 1.8 Å resolution. Similar to other class 2 receptors, IFNγR2 has two fibronectin type III domains. The characteristic structural features of IFNγR2 are concentrated in its N-terminal domain: an extensive π-cation motif of stacked residues KWRWRH, a NAG-W-NAG sandwich (where NAG stands for N-acetyl-D-glucosamine) and finally a helix formed by residues 78-85, which is unique among class 2 receptors. Mass spectrometry and mutational analyses showed the importance of N-linked glycosylation to the stability of the protein and confirmed the presence of two disulfide bonds. Structure-based bioinformatic analysis revealed independent evolutionary behaviour of both receptor domains and, together with multiple sequence alignment, identified putative binding sites for interferon-γ and receptor 1, the ligands of IFNγR2.

• MeSH
• Amino Acid Motifs MeSH
• Disulfides chemistry   MeSH
• Glycosylation MeSH
• Protein Conformation MeSH
• Crystallography, X-Ray MeSH
• Humans MeSH
• Models, Molecular MeSH
• Protein Domains MeSH
• Receptors, Interferon chemistry   MeSH
• Protein Folding MeSH
• Protein Stability MeSH
• Check Tag
• Humans MeSH
• Publication type
• Journal Article MeSH
• Research Support, Non-U.S. Gov't MeSH

• MeSH
• Cell Biology MeSH
• Molecular Biology MeSH
• Publication type
• Monograph MeSH

• Conspectus
• Biochemie. Molekulární biologie. Biofyzika
• NML Fields
• biologie
• cytologie, klinická cytologie

• MeSH
• Cell Biology MeSH
• Molecular Biology MeSH
• Publication type
• Monograph MeSH

• Conspectus
• Biochemie. Molekulární biologie. Biofyzika
• NML Fields
• biologie
• cytologie, klinická cytologie