Molekulyarnaya Meditsina (Molecular medicine)
Peer-review medical journal.
Editor-in-Chief
- Mikhail A. Paltsev, PhD, MD, Acad. RAS, Moscow, Russia
ORCID iD: 0000-0002-5737-5706
Publisher
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Publishing House «Russkiy Vrach»
Founder
- Publishing House «Russkiy Vrach»
About
The journal «Molecular medicine » highlights research results in such areas as the investigation of the molecular and genetic bases of the etiology and pathogenesis of socially significant diseases with the aim to develop new diagnostic methods and Benches-to-bedside to the effective therapy of human diseases, including technology-based nuclear medicine.
Particular attention is given to the formation of principles of personalized medicine based on a fundamentally new approach both to the disease and the patient, in the context of an active introduction into the practice achievements of genomics, proteomics, metabolomics and bioinformatics, using modern knowledge and computer technologies, relying upon a wealth of international experience in this area.
The main efforts are focused as well on the creation of complex genetic cellular bioengineering medical technologies and highly effective drugs of new generation, including directional medicinal agents, drugs based on nanotechnology.
According to the Decision of the Presidium of the Higher Attestation Commission (HAC) the journal "Molecular Medicine" is included into the list of leading peer-reviewed scientific journals, in which the main results of the thesis for the degree of doctor and candidate of sciences should be published.
Journal "Molecular Medicine" is included in the Russian Science Citation Index.
Sections
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Original research
- Reviews
Current Issue
Vol 24, No 2 (2026)
- Year: 2026
- Articles: 12
- URL: https://journals.eco-vector.com/1728-2918/issue/view/15183
- DOI: https://doi.org/10.29296/24999490-2026-02
Original research
The involvement of glutamate AMPA receptors in the regulation of T-cell adhesion in multiple sclerosis
Abstract
Introduction. Glutamate receptors are involved in modulating key T-lymphocyte functions, including proliferation, chemotaxis, and others. In the context of the immunopathogenesis of multiple sclerosis (MS), studying the mechanisms underlying these effects is of great scientific and practical interest.
The aim of the study. To investigate the molecular mechanisms underlying AMPA receptors (AMPARs) in T-lymphocyte adhesion in MS.
Material and methods. The study involved peripheral blood lymphocytes from healthy donors and MS patients. The effects of AMPAR glutamate agonists and antagonists on T-cell adhesion were determined using human umbilical vein endothelial cells as an in vitro model of the blood-brain barrier. The effect of glutamate AMPAR receptor ligands on the expression of the adhesion molecule VLA-4 (Very late antigen-4) by various T-helper cell subsets was studied using flow cytometry.
Results. According to the study results, cells from MS patients in the acute stage were most sensitive to the effects of glutamate AMPAR ligands. Their action resulted in changes in the level of T-cell adhesion to endothelial cells, as well as in the surface expression of the key adhesion molecule VLA-4. Importantly, the NBQX antagonist inhibited VLA-4 expression primarily in subsets of T-helper cells types 1, 17, and 17.1. The observed heterogeneity in the response of T-lymphocyte subsets likely reflects differences in sensitivity to the functional state of AMPA receptors or the involvement of cells in the adhesion process.
Conclusion. AMPA glutamate receptors have been shown to be involved in modulating the adhesion of T-lymphocyte subsets pathogenetically significant for MS. The importance of this glutamate receptor subtype increases during disease exacerbation. These identified functional features of glutamate neurotransmitter receptors contribute to our understanding of the pathogenesis of MS and the development of new approaches to pharmacotherapy.
3-9
Toxic metabolites of aromatic amino acids in autism spectrum disorders
Abstract
Objective. To investigate the role of toxic metabolites of aromatic amino acids (phenylalanine, tyrosine, and tryptophan) in autism spectrum disorders (ASD) pathogenesis and their relationship with intestinal dysbiosis.
Material and methods. The study included laboratory urine analysis results from 50 children with verified moderate-to-severe ASD diagnosis (mean age 7 ± 4 years, 40 boys and 10 girls) and 29 conditionally healthy children. Organic acid determination was performed using gas chromatography-mass spectrometry (GC-MS). Analyzed metabolites included: 3-phenyllactic acid, para-hydroxyphenylpyruvic acid, para-hydroxyphenyllactic acid, homogentisic acid, kynurenic acid, xanthurenic acid, picolinic acid, quinolinic acid, and 3-indoleacetic acid. Statistical analysis included discriminant and ROC analysis.
Results. 16–52% of ASD children showed aromatic amino acid metabolite levels exceeding reference intervals, compared to 6–41% in controls. Most frequent elevations were para-hydroxyphenylpyruvic acid (52% children) and quinolinic acid (44% children). Statistical analysis revealed significant between-group differences for most indicators. ROC-analysis demonstrated high diagnostic significance of combined metabolite assessment (AUC = 0,828). Significant correlations were found between aromatic amino acid metabolites and intestinal dysbiosis markers.
Conclusion. The study demonstrates statistically significant elevation of toxic aromatic amino acid metabolites in ASD children versus controls, indicating metabolic imbalance. Correlations with dysbiosis markers emphasize the gut-brain axis importance in disease development. Results suggest prospects for GC-MS organic acid analysis in ASD metabolic monitoring and developing targeted therapeutic strategies.
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Features of the endoscopic and morphological patterns of the esophageal mucosa in eosinophilic esophagitis in children of different age groups
Abstract
Introduction. The incidence of eosinophilic esophagitis is 5.31 cases per 100,000 person-years. It is a multifactorial disease with a clear genetic predisposition, specifically involving the expression of the thymic stromal lymphopoietin and IL-33 genes. Eosinophilic esophagitis in the pediatric population is of scientific and clinical interest due to its distinct pathogenetic features. It is essential to emphasize the importance of comparative pathomorphological analysis of esophageal mucosal changes in children across different age groups, while also accounting for sex-based differences.
Purpose of the study. To determine the morphological criteria for eosinophilic esophagitis in children and evaluate their diagnostic significance for confirming the diagnosis and differentiating it from other inflammatory esophageal diseases.
Material and methods. This retrospective study included 76 children with eosinophilic esophagitis (ICD-10: K20; ICD-11: KB81.0) and 30 children in the control group without esophageal diseases. Inclusion criteria: age 1–18 years, confirmed EoE diagnosis with peak eosinophil count ≥ 15 cells per high-power field. Patients with other inflammatory gastrointestinal diseases were excluded. Methods: clinical examination, endoscopy with biopsy (≥ 6 samples), histological assessment using the EoEHSS scale (8 criteria), and statistical analysis.
Results. Morphological examination of esophageal mucosal biopsies in children with clinical signs of eosinophilic esophagitis revealed characteristic histological changes confirming the diagnosis. In all cases, there was an increase in eosinophil count in the epithelial layer – from 15 to 80 cells per high-power field. Most patients (approximately 70%) showed uneven infiltration with focal eosinophil accumulations and degranulation. In 62% of cases, eosinophil microabscesses were identified, predominantly in the superficial epithelium. In addition to eosinophilic infiltration, 58% of children exhibited signs of spongiosis and acanthosis of the epithelium, thickening of the basement membrane, and moderate interstitial fibrosis of the lamina propria. In isolated cases (about 20%), superficial erosions and mild neutrophilic infiltration were noted. Comparison of morphological data with clinical manifestations showed that the severity of eosinophilic infiltration correlated with disease duration and dysphagia severity. Children with recurrent EoE exhibited more pronounced epithelial structural changes, including basal layer hyperplasia and subepithelial fibrosis. Thus, the results confirm that morphological examination of esophageal biopsies is a key method for verifying eosinophilic esophagitis in children and should be considered a mandatory step in the diagnostic algorithm for this condition.
Conclusion. Eosinophilic esophagitis in children is characterized by pronounced inflammatory and structural changes in the esophageal mucosa, which progress with age. The data underscore the importance of comprehensive diagnostics using morphological assessment and biopsy, even in the absence of visible endoscopic changes.
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Proteomic reprogramming of senescent mesenchymal stromal cells of adipose tissue: a role in the modulation of macrophage phenotype and the formation of inflammageing in obesity
Abstract
The study is devoted to the identification of changes in the proteomic profile of senescent mesenchymal stromal cells of adipose tissue, which determine the modulation of the macrophage phenotype and are involved in the pathogenetic cascade of the formation of inflammageing in obesity.
Material and methods. A proteomic analysis of adipogenic MSCs cultured under conditions simulating senescent changes in cells (various oxygen content conditions of 17% O2–7% O2, the use of senescence inducers – doxorubicin 0.2 µg/ml, H2O2 0.35 µg/ml) was performed. The severity of senescent changes was assessed by the classical beta-galactosidase staining method, as well as by the documented markers of senescence CDKN1A and CDKN2A by PCR-RT. Differentially expressed proteins were identified by LC-MS/MS method followed by bioinformatic analysis.
Results. Cell culture under 17% O2 conditions induced a 2.35-fold increase in CDKN1A and 1.52-fold increase in CDKN2A expression relative to 7% O2 and was accompanied by more pronounced changes in cell color for β-galactosidase. Proteomic analysis identified three differentially expressed proteins that significantly determine the phenotypic plasticity of macrophages: S100A6 (↑2,95 log2FC, p = 3,43 × 10-10), A2M (↓1,06 log2FC, p = 2,17 × 10-6) и ITGB1 (↓1,63 log2FC, p = 5,29 × 10-5). Three signaling cascades have been established, which involve the identified proteins: 1) S100A6 → RAGE → NF-κB, inducing M1-polarization of macrophages; 2) A2M deficiency, leading to uncontrolled proteolysis with the generation of matrikins and activation of TLR; 3) ITGB1 deficiency, blocking M2-polarization through disruption of the STAT6/PPARγ pathway.
Conclusion. Proteomic reprogramming of senescent MSCs of adipose tissue in obesity is involved in cascading modulation of the macrophage phenotype through SASP-mediated signaling pathways, which contributes to the formation and systemic spread of inflammageing.
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Features of shifts in the indicators of immune-antioxidant status in residents of the krasnodar territory suffering from pollinosis
Abstract
Background. Pollinosis is a progressive allergic disease mediated by an IgE-dependent reaction associated with the activation of inflammatory processes, oxidative stress and lipid peroxidation, which affects, first of all, the membrane structures of various cells of the body, changing their structure and functional properties. This applies primarily to the most numerous and long–functioning group of blood cells, red blood cells. Studying the state of antioxidant and immune defense systems, free radical oxidation processes, and lipid peroxidation at the tissue and cellular levels, using serum and erythrocyte mass, opens up new prospects for understanding the mechanisms of metabolic shifts in hay fever and establishing the possibility of additional diagnosis and prevention of allergic diseases.
Aim. To study the direction of metabolic shifts in the antioxidant and immune defense system in residents of the Krasnodar Territory who suffer from pollinosis.
Material and methods. A blood test was performed on individuals suffering from hay fever (n = 100) and healthy volunteers (n = 100). The study group was divided into four subgroups: individuals with аllergic rhinitis caused by pollen of allergenic plants (AR) (n = 10); AR in combination with аllergic conjunctivitis (AC) (n = 57); bronchial asthma with a predominance of an allergic component (BA) (n = 13); AR+AC+BA (n = 20). The ELISA method was used to determine the level of total IgE in blood serum. Metabolic shifts in oxidative homeostasis were assessed by the activity of superoxide dismutase and the level of malondialdehyde in hemolysate.
Results. А pronounced imbalance in the antioxidant system of the body of patients with pollinosis, especially in its comorbid conditions (AR+AС; AR+AС+BA), was established. A significant increase in the level of malondialdehyde (2.8 times; p < 0.001), total IgE (8.6 times; p < 0.001), was observed compared to the control group. A moderate increase in superoxide dismutase activity indicates a compensatory reaction of antioxidant protection, but not sufficiently pronounced to suppress the developing oxidative process in pollinosis.
Conclusion. The data obtained highlight the relationship between IgE hyperproduction, oxidative stress, and insufficiency of the antioxidant defense systems in pollinosis. An integrated approach aimed at suppressing the hyperimmune response and correcting the oxidative imbalance can improve measures to control the development, course, and prevention of allergy complications.
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Application of ring-polyhedral models of amino acids for protein structure modeling
Abstract
Introduction. The article is devoted to the theoretical prediction of the spatial structure of proteins of protein three-dimensional structures, with a focus on the specifics of modeling chemical compounds containing a significant number of amino acid residues. The relevance of the study is driven by the need to develop methods capable of producing reliable structural models without resorting to complex and resource-intensive experimental procedures. This is particularly important given the growing volume of genetic data and the need to interpret it at the level of the spatial organization of protein molecules.
The aim of the work was to analyze the possibilities of using ring-shaped models of amino acids to determine the spatial structure of proteins, to evaluate their effectiveness and applicability in problems of theoretical modeling, bioinformatics and structural chemistry.
Material and Methods. Modeling is performed using ring-polyhedral models of amino acids, which represent polyhedra formed from cyclic structures. These models impose constraints on the variability of bond angles and the possible positions of side chains, significantly reducing the number of permissible configurations and simplifying computational procedures. Algorithms are applied that allow determination of protein three-dimensional structures solely from the nucleotide coding sequence (CDS), without relying on additional experimental data, including X-ray crystallography and spectroscopic methods.
Results. The possibility of determining the forms of chemical compounds using ring-shaped models is demonstrated using the example of the amino acids serine (C3H7NO3) and leucine (C6H12NO2), as well as the standard structural element of proteins – the alpha helix. The results show consistency of the proposed approach with fundamental concepts of protein spatial organization and confirm its applicability for analyzing typical structural motifs.
Conclusion. The use of ring-shaped models of amino acids allows us to limit the space of possible structural configurations, increase the predictability of modeling, and can be considered as a promising approach to the theoretical study of proteins, especially when experimental data are limited.
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Comparative analysis of Hsp27 and Hsp90 expression in high- and low-grade ovarian carcinoma cells
Abstract
Introduction. Ovarian cancer is characterized by high mortality. Despite available diagnostic and therapeutic methods, patient survival remains unsatisfactory, especially for high-grade tumors, necessitating the exploration of new molecular targets. Heat shock proteins Hsp27 and Hsp90, which regulate cellular stress and survival, are considered key factors in tumor progression.
Objective. To conduct a comparative assessment of the immunohistochemical detection of Hsp27 and Hsp90 in high- and low-grade serous ovarian carcinomas with separate evaluation of the nuclear and cytoplasmic localization of the reaction.
Material and methods. The prospective study (NCT04817501) included 58 patients with newly diagnosed ovarian cancer. Of these, serous cancer (FIGO stages I-IIIC) was verified in 49 patients: 36 HG cases and 13 LG cases. Paraffin-embedded tumor tissue blocks obtained before treatment were studied. The study material consisted of paraffin blocks from biopsy and surgical tumor specimens. The proportions of Hsp27- and Hsp90-positive cells in the tumor and stromal components were assessed by immunohistochemistry followed by digital analysis of scanned images (Aperio AT2, Leica; QuPath software).
Results. Significant differences were revealed in the tumor component between the HG and LG groups. The proportion of Hsp27-positive tumor cells with cytoplasmic and nuclear localization of the immunohistochemical reaction was significantly higher in the HG group than in the LG group (p = 0.02). No significant differences in Hsp90 were found between the groups in either the stromal or the tumor component.
Conclusion. Differences in the immunohistochemical detection of Hsp27 and Hsp90 in the tumor and stromal components of ovarian carcinoma, as well as a significant increase in the proportion of Hsp27-positive tumor cells in HGSC compared with LGSC, indicate the potential diagnostic and prognostic value of Hsp27. Furthermore, the obtained results indicate the potential of chaperone-targeted therapy as a promising direction that requires further research.
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Reviews
Branched chain amino acid transaminases: structure, molecular and genetic aspects, functional and pathogenetic role
Abstract
This review systematizes current data on branched-chain aminotransferases (BCATs). Their molecular structure, classification as fold type IV pyridoxal phosphate (PLP)-dependent enzymes, and catalytic features are discussed in detail. The differences between the two main isoenzymes — mitochondrial (BCATm) and cytosolic (BCATc) — their tissue specificity and functions are highlighted. The key role of BCATs in BCAA metabolism is outlined, including the regulation of protein synthesis via the mTOR pathway, glucose and nitrogen homeostasis. Particular attention is paid to the pathogenetic significance of BCATs: their involvement in the development of neurodegenerative diseases (via the synthesis of the neurotransmitter glutamate), oncological processes (glioblastoma, leukemias, gastric and breast cancer), as well as their association with insulin resistance and aging. The potential of BCATs as targets for pharmacological intervention, specifically the inhibition of BCATc by gabapentin, is discussed. The prospects for studying BCATs to develop new therapeutic strategies for metabolic, neurological, and oncological diseases are considered.
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Yeast RNA as a source of immunomodulatory nucleotides: from biochemistry to clinical application
Abstract
Introduction. Yeast RNA is considered a promising class of natural immunomodulators that has been studied in Russian biomedical science since the Soviet period. High-molecular-weight RNA fractions from Saccharomyces cerevisiae exhibit pronounced immunostimulatory activity associated with their ability to form double-stranded regions recognized by the innate immune system. Current preparations based on yeast RNA, including Polyribonate, Ridostin, and Amphievovir, represent a continuation of this research field.
Objective. To systematize historical and contemporary data on the biochemical properties of yeast RNA, the mechanisms of its immunomodulatory activity, biotechnological approaches to its production, and the clinical use of yeast RNA-based preparations.
Material and methods. An analytical review of the literature indexed in PubMed, Scopus, Web of Science, and eLibrary from 1974 to 2025 was performed, including Soviet and Russian publications addressing the structure of yeast RNA, its immunobiological effects, technological aspects of isolation, and potential clinical applications.
Results. Yeast RNA is represented predominantly by high-molecular-weight single-stranded molecules ranging from hundreds to several thousand nucleotides in length and capable of forming multiple intra- and intermolecular double-stranded regions that mimic viral pathogen-associated molecular patterns. A major contribution of the Soviet scientific school was the demonstration that yeast RNA can stimulate leukopoiesis and enhance protein synthesis in hematopoietic organs. Biotechnological methods developed by Russian researchers provide a high yield of purified dsRNA fractions. The mechanisms of action of yeast RNA involve activation of TLR3, TLR7/8, RIG-I, and other nucleic acid-sensing receptors followed by induction of interferons and other mediators of innate immunity. Russian yeast RNA-based preparations demonstrate antiviral and immunocorrective activity; in preclinical studies, Amphievovir suppressed rabies virus replication by 2–3 logs.
Conclusion. Yeast RNA represents a promising platform for the development of natural immunomodulatory agents. Its structural features, ability to induce the interferon response, and capacity to stimulate leukopoiesis support further experimental and clinical investigation. Large randomized clinical trials and broader integration of Russian data into the international scientific literature are required for wider implementation of yeast RNA-based products.
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Optimization of ctDNA and cfDNA detection: modern bioinformatic approaches to improve the accuracy of molecular diagnostics of tumors
Abstract
Relevance. Modern approaches to detecting circulating tumor DNA (ctDNA) and cell-free DNA (cfDNA) demonstrate high potential for improving the accuracy of molecular diagnostics of tumors and require a comprehensive analysis of all stages, from the biology of fragments to computational data processing methods.
Results. This review systematizes the key biological, preanalytical, laboratory, and bioinformatic factors that determine the sensitivity of a liquid biopsy. The parameters affecting the preservation and representativeness of cfDNA are considered in detail, including the size profile of fragments, the effects of apoptosis and necrosis, as well as the variability of DNA concentration depending on the type of tumor and the stage of the disease. Special attention is paid to strategies that can significantly improve the detection of low-fraction mutations even with minimal tumor burden. These include the optimization of nucleic acid extraction processes, the use of unique molecular identifiers, deep targeted sequencing, and the combination of data from different technology platforms. It is shown that progress in the methods of purification and stabilization of samples, the improvement of NGS platforms and the introduction of machine learning algorithms are critical conditions for improving the accuracy, reliability and reproducibility of the results. Additionally, approaches to the integration of multidimensional data and the use of advanced statistical models are discussed, allowing to reduce the level of background errors and increase the specificity of the analysis.
Conclusion. The findings emphasize the importance of the integrated implementation of these technologies to accelerate the translation of liquid biopsy into clinical practice, expand its diagnostic capabilities and earlier detection of tumor diseases.
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Digital twin of early immunometabolic response after tick bite. LC-MS/MS profiling of lipid mediators and the kynurenine pathway in a QSP model of systemic inflammation
Abstract
Tick bite is traditionally viewed in clinical practice primarily as an event associated with the risk of pathogen transmission. Although this interpretation is epidemiologically justified, it does not capture the molecular layer that develops within the first hours after tick attachment and largely determines the subsequent trajectory of the host response. At the level of the skin and systemic circulation, an early immunometabolic response is initiated, involving changes in lipid mediators, shifts in the tryptophan-kynurenine pathway, alterations in nitric oxide-related regulation, redox imbalance, and activation of the hepatic acute-phase response.
The aim of this review is to analyze the molecular, biochemical, and metabolomic foundations for constructing an interpretable digital twin of the early immunometabolic response after tick bite. Such a twin would integrate LC-MS/MS profiling of lipid mediators, kynurenine-pathway metabolites, and redox markers with a QSP model of systemic inflammation, the hepatic acute-phase response, and the functional endothelial compartment. The central premise of the paper is that tick bite should be regarded not only as an epidemiologic entry point for infection, but also as a model of an early molecular event that triggers an individualized network of chemically defined mediators and metabolites.
Results. The literature indicates that the key components of such a platform have already been established, although they still exist largely in isolation and have not yet been integrated into a single interpretable system. There is substantial evidence of the pronounced immunomodulatory effects of tick saliva and early remodeling of the cutaneous immune landscape. A considerable body of research has also accumulated on metabolic and protein-mediated changes in early Lyme borreliosis, tick-borne encephalitis, and other tick-associated conditions; these studies analyze eicosanoids, kynurenine-pathway metabolites, acute-phase proteins, and oxidative stress markers. An analytical basis has emerged for targeted LC-MS/MS measurement of oxylipins, kynurenines, oxidized lipids, and glutathione-related parameters. In parallel, QSP approaches and digital twin concepts are developing rapidly across biomedicine and increasingly support personalized interpretation of molecular data. However, an integrated platform linking the early metabolomic signature of the response to tick bite with an interpretable QSP model and personalized phenotype stratification is still lacking.
Conclusion. It is concluded that a digital twin of the early response to tick bite should be viewed not as a tool for infection diagnosis, but as a bioinformatic and molecular medicine platform for integrating individual lipidomic, metabolomic, and baseline laboratory signatures into an interpretable model of systemic inflammation. In this form, it is consistent with the logic of personalized medicine and may be used for stratifying early immunometabolic phenotypes, selecting the depth of molecular profiling, and providing a scientific basis for monitoring during seasonal increases in healthcare utilization. The present paper is conceived as a conceptual review that systematizes current evidence, identifies molecular gaps, and outlines a research trajectory for future original studies.
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The possibilities of telemedicine technologies to provide a personalized approach in cardiology through the use of wearable devices
Abstract
Cardiovascular diseases remain one of the main causes of hospitalization, disability, and mortality. The usual monitoring model and rare face-to-face visits often do not keep up with the actual clinical dynamics. This partly explains the growing interest in wearable devices and telemedicine support formats. The doctor no longer has individual measurements at his disposal, but sequential physiological series of data on rhythm, heart rate, motor activity, sleep, and in some cases, electrocardiographic parameters. The scenarios related to the detection of atrial fibrillation, telemonitoring for heart failure, telerehabilitation for coronary heart disease, and assessment of functional status based on daily activity data are the best studied today. However, the clinical value of these technologies is determined not by the fact of their use, but by the degree of validation of the received signals, the quality of data inclusion in the treatment route, and the doctor’s ability to distinguish significant changes from digital noise. Within the framework of personalized medicine, wearable devices should be considered as a source of additional information about the patient’s phenotype, including reflecting the state of autonomous regulation, the inflammatory background, signs of endothelial dysfunction, processes of myocardial remodeling and neurohumoral shifts. However, the direct integration of digital parameters with molecular biomarkers is currently used mainly in scientific research, without proper development in clinical practice.
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