Publications by authors named "Malsagova K"

Article Synopsis
  • - The study aims to advance the diagnosis and treatment of schizophrenia by identifying blood biomarkers, moving away from solely subjective assessments of clinical symptoms.
  • - Researchers conducted a detailed proteomic analysis of plasma samples from 48 schizophrenia patients and 50 healthy individuals, using advanced techniques to evaluate protein presence.
  • - Findings revealed unique proteins in schizophrenia patients that are linked to key biological processes, enhancing the understanding of the disorder's molecular mechanisms and potential therapeutic targets.
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Traumatic brain injury (TBI) is one of the leading causes of mortality and disability among young and middle-aged individuals. Adequate and timely diagnosis of primary brain injuries, as well as the prompt prevention and treatment of secondary injury mechanisms, significantly determine the potential for reducing mortality and severe disabling consequences. Therefore, it is crucial to have objective markers that indicate the severity of the injury.

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The primary objective of analyzing the data obtained in a mass spectrometry-based proteomic experiment is peptide and protein identification, or correct assignment of the tandem mass spectrum to one amino acid sequence. Comparison of empirical fragment spectra with the theoretical predicted one or matching with the collected spectra library are commonly accepted strategies of proteins identification and defining of their amino acid sequences. Although these approaches are widely used and are appreciably efficient for the well-characterized model organisms or measured proteins, they cannot detect novel peptide sequences that have not been previously annotated or are rare.

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Advances in the global personalized medicine market are directly related to innovations and developments in molecular and genetic technologies. This review focuses on the key trends in the development of these technologies in the healthcare sector. The existing global developments having an impact on the evolution of the personalized medicine market are reviewed.

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  • Proteomic and metabolomic research helps analyze the molecular profiles of athletes, particularly during aerobic activities like running at high altitudes.
  • Changes in specific metabolites, such as 4-hydroxyproline and methionine, were observed during recovery, indicating metabolic shifts.
  • Proteomic analysis showed variations in protein expression related to immune function, muscle damage, and athlete performance, suggesting a need for further studies on metabolic models to track training intensity and adaptation.
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  • Many studies show that post-translational modifications (PTMs) like phosphorylation influence protein function, but there's no agreement on how much they alter protein structure.
  • The research specifically focuses on phosphorylation of serine, threonine, and tyrosine and examines how these modifications affect various geometric parameters of proteins.
  • It was found that phosphorylation leads to varying degrees of structural changes in proteins, particularly around the modification site, and this can switch proteins from inactive to active states.
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Background: Tracking the migration pathways of living cells after their introduction into a patient's body is a topical issue in the field of cell therapy. Questions related to studying the possibility of long-term intravital biodistribution of mesenchymal stromal cells in the body currently remain open.

Methods: Forty-nine laboratory animals were used in the study.

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The development of highly sensitive diagnostic systems for the early revelation of diseases in humans is one of the most important tasks of modern biomedical research, and the detection of the core antigen of the hepatitis C virus (HCVcoreAg)-a protein marker of the hepatitis C virus-is just the case. Our study is aimed at testing the performance of the nanoribbon biosensor in the case of the use of two different types of molecular probes: the antibodies and the aptamers against HCVcoreAg. The nanoribbon sensor chips employed are based on "silicon-on-insulator structures" (SOI-NR).

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  • Researchers developed a new tool called SAFoldNet to improve the comparison and searching of 3D protein structures in structural biology.
  • SAFoldNet combines neural networks with the BLAST algorithm and uses a multistage process involving geometry conversion, candidate structure formation, and structural alignment refinement.
  • The tool's effectiveness was validated against current services, leading to a user-friendly web interface that allows for various protein structure analyses and provides similarity metrics.
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Background: Radiation therapy (RT) is an important step in the treatment of primary breast cancer as it is one of the leading contributors to cancer incidence among women. Most patients with this disease acquire radiation-induced lymphopenia in the early post-radiation period; however, little is known about the effect of RT on the composition of lymphocyte populations in such patients. This study was aimed at investigating the effect of adjuvant remote RT-performed in the classical mode for patients with primary breast cancer-on the main components of cell-mediated immunity (major lymphocyte populations), including those in patients receiving chemotherapy.

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Prostate cancer (PC) is one of the major causes of death among elderly men. PC is often diagnosed later in progression due to asymptomatic early stages. Early detection of PC is thus crucial for effective PC treatment.

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Amino acid substitutions and post-translational modifications (PTMs) play a crucial role in many cellular processes by directly affecting the structural and dynamic features of protein interaction. Despite their importance, the understanding of protein PTMs at the structural level is still largely incomplete. The Protein Data Bank contains a relatively small number of 3D structures having post-translational modifications.

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Article Synopsis
  • The study explores two types of protein structures, three-helix bundles and SH3-type barrels, across various organisms using a neural graph network to analyze their spatial folds.
  • Molecular experiments were conducted on small proteins with these structures, evaluating parameters like stability and structural integrity at different temperatures (300K, 340K, and 370K).
  • The research aims to show that it is possible to analyze these protein folds independently from their protein environment, leading to improved efficiency and reduced computation time without losing essential information.
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Reduction in tumor necrosis factor (αTNF) and interleukin-6 (IL-6) activities is a widely utilized strategy for the treatment of rheumatoid arthritis (RA) with a high success rate. Despite both schemes targeting the deprivation of inflammatory reactions caused by the excessive activity of cytokines, their mechanisms of action and the final output are still unequal. This was a comparative longitudinal study that lasted for 24 weeks and aimed to find the answer to why the two schemes of therapy can pass out of proportion in attitude of their efficiency.

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The aim of this study was to determine the influence of high-intensity training under extreme conditions (T = 40 °C) on the metabolism and immunological reactions of athletes. Male triathletes ( = 11) with a high level of sports training performed load testing to failure (17 ± 2.7 min) and maximum oxygen consumption (64.

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Neuroplasticity and inflammation play important part in the body's adaptive reactions in response to prolonged physical activity. These processes are associated with the cross-interaction of the nervous and immune systems, which is realized through the transmission of signals from neurotransmitters and cytokines. Using the methods of flow cytometry and advanced biochemical analysis of blood humoral parameters, we showed that intense and prolonged physical activity at the anaerobic threshold, without nutritional and metabolic support, contributes to the development of exercise-induced immunosuppression in sportsmen.

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  • Schizophrenia's molecular mechanisms remain unclear despite extensive studies in proteomics, metabolomics, and genome-wide associations; combining these advanced data can improve understanding of its pathogenesis.
  • In this study, researchers identified 20 proteins, many of which are new to schizophrenia, and 18 metabolite compounds linking to steroid and tyrosine transformations, underscoring their role in the disorder.
  • The integration of proteomic, metabolomic, and genomic data highlighted key factors like lipid transport, oxidative stress, and hormonal imbalances as crucial interconnected elements influencing schizophrenia pathology.
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Ovarian cancer is a gynecological cancer characterized by a high mortality rate and tumor heterogeneity. Its early detection and primary prophylaxis are difficult to perform. Detecting biomarkers for ovarian cancer plays a pivotal role in therapy effectiveness and affects patients' survival.

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A highly sensitive method for the qualitative and quantitative determination of amino- and carboxylic acids, as well as a number of urea and methionine cycle metabolites in the studied solutions, is presented. Derivatives (esterification) were obtained for amino acids by their reaction in a solution of 3 N of hydrochloric acid in n-butanol for 15 min at 65 °C and for carboxylic acids by their reaction with phenol in ethyl acetate with 3 N of hydrochloric acid for 20 min at 65 °C. Experimental work on the determination of individual metabolites was carried out using the HPLC-MS/MS method and included the creation of a library of spectra of the analyzed compounds and their quantitative determination.

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Article Synopsis
  • * Alpha-synuclein, which can aggregate and harm cells, interacts with cyclophilin A to prevent these destructive aggregations, highlighting the importance of chaperone proteins.
  • * Using advanced molecular docking techniques, we identified how alpha-synuclein, cyclophilin A, and Anle138b can form a stable complex, primarily through hydrophobic and hydrogen bonding interactions.
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A super-secondary structure (SSS) is a spatially unique ensemble of secondary structural elements that determine the three-dimensional shape of a protein and its function, rendering SSSs attractive as folding cores. Understanding known types of SSSs is important for developing a deeper understanding of the mechanisms of protein folding. Here, we propose a universal PSSNet machine-learning method for SSS recognition and segmentation.

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  • - Tear samples from 28 patients with central retinal vein occlusion (CRVO) and 29 healthy volunteers were analyzed, revealing a shared proteome with substantial differences between the groups.
  • - A total of 29 proteins showed significant differences, with S100A6, S100A8, and S100A9 being notably upregulated, while β2-microglobulin was downregulated, pointing to potential biomarkers for CRVO.
  • - The analysis indicated that inflammation, retinal hemostasis impairment, and immune response play critical roles in CRVO, with certain proteins suggesting a strong association with the disease as demonstrated by ROC analysis results.
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  • * A study of 3,661 healthy athletes used various medical examinations and machine learning to analyze health indicators related to recovery post-competition.
  • * Key findings indicated that muscle metabolism parameters (like aspartate aminotransferase and creatine kinase) and ornithine cycle parameters (like creatinine and urea) were crucial for distinguishing between catabolic and anabolic metabolism in athletes.
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  • - This study examined how 3β-corner super-secondary structures maintain their stability in water, independent of protein globules, using molecular dynamics (MD) simulations.
  • - Researchers analyzed various geometric parameters, like gyration radius and hydrogen bonds, and characterized a set of 3β-corner structures to show they consistently retained their formation.
  • - The findings suggest that 3β-corners are stable in aqueous environments and could serve as essential building blocks for protein folding and offer a standalone focus for structural biology research.
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  • * JAK and STAT proteins play key roles in signaling processes related to inflammation and are important in autoimmune diseases like rheumatoid arthritis.
  • * The study explored how the drug ruxolitinib interacts with JAK1 and JAK2, showing it binds selectively to these proteins with strong binding affinities, mainly through hydrophobic interactions.
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