A5082744034- SARS-CoV-2 and COVID-19 Research
- Inflammatory Biomarkers in Disease Prognosis
- Pituitary Gland Disorders and Treatments
- Extracellular vesicles in disease
- Diabetes and associated disorders
- COVID-19 Clinical Research Studies
- Glioma Diagnosis and Treatment
- Single-cell and spatial transcriptomics
- COVID-19 epidemiological studies
- Periodontal Regeneration and Treatments
- Evolution and Genetic Dynamics
- Artificial Immune Systems Applications
- Cancer, Hypoxia, and Metabolism
- Microfluidic and Bio-sensing Technologies
- Lung Cancer Research Studies
- Neuroendocrine Tumor Research Advances
- Atherosclerosis and Cardiovascular Diseases
- Platelet Disorders and Treatments
- Synthesis and biological activity
- Immune cells in cancer
- Phagocytosis and Immune Regulation
- Mesenchymal stem cell research
- Pancreatic function and diabetes
- Adipokines, Inflammation, and Metabolic Diseases
- Proteoglycans and glycosaminoglycans research
Endocrinology Research Center
2024-2025
Ministry of Health of the Russian Federation
2022-2024
Moscow State University of Medicine and Dentistry
2018-2020
Abstract Introduction This study was aimed at deciphering the secretome of adipose-derived mesenchymal stromal cells (ADSCs) cultured in standard and hypoxic conditions to reveal proteins, which may be responsible for regenerative action these cells. Methods Human ADSCs were isolated from 10 healthy donors 3–4 passages. Cells serum deprived cell purity assessed using multiple surface markers. Conditioned media collected analyzed LC-MS with a focus on characterizing secreted proteins. Results...
Current dissociation methods for solid tissues in scRNA-seq studies do not guarantee intact single-cell isolation, especially sensitive and complex human endocrine tissues. Most rely on enzymatic of fresh samples or nuclei isolation from frozen samples. Dissociating whole cells fresh-frozen samples, commonly collected by biobanks, remains a challenge. Here, we utilized the acetic-methanol approach (ACME) to capture transcriptional profiles individual tissue This method combines acetic...
Early detection of aggressive pituitary neuroendocrine tumors (PitNETs) remains challenging due to the absence reliable markers that can predict disease progression. Aggressive are typically identified through long-term observation. Tumor immune microenvironment (TIME) is crucial for understanding PitNETs' heterogeneity and identifying potential predictors tumor aggressiveness. In this study, we analyzed profile micro- macroenvironment in two somatotropinomas (aggressive non-aggressive)...
Abstract Characterization of the tumor immune microenvironment (TIME) pituitary neuroendocrine tumors (PitNETs) is crucial for understanding behavior different types PitNETs and identification possible causes their aggressiveness, rapid growth, resistance to therapy. High‐dimensional flow cytometry (FC) a promising technology studying TIME but poses unique technical challenges, especially when applied solid tissues PitNETs, in particular. This paper evaluates potential FC analyzing by...
Abstract Acute myocardial infarction (AMI) is associated with activation of various cells, including platelets that form monocyte–platelet complexes (MPCs). Here, we analysed MPC in vivo and vitro investigated the abilities different monocyte subclasses to MPC, characteristics cells involved formation changes AMI. We identified by co-staining for platelet antigen CD41a antigens CD14 CD16. Platelet was evaluated from expression phosphatidylserine as revealed annexin V. Our results confirm...
A calibrated mathematical model of antiviral immune response to SARS-CoV-2 infection is developed. The considers the innate and antigen-specific responses infection. Recently published data sets from human challenge studies with were used for parameter evaluation. calibration based on combining guesses our earlier study influenza virus infection, some recent quantitative models clinical data-based estimation a subset parameters. Hence, represents theoretical exploration type study, i.e., ‘in...
Abstract Current scRNA-seq studies of solid tissues mostly rely on enzymatic dissociation fresh samples or the fallback nuclei isolation from frozen partially fixed samples. However, due to complex tissue organization cell fragility, it could be challenging apply these approaches sensitive endocrine tissues. That is, dissociating intact cells such problematic fresh-frozen routinely collected by biobanks remains challenging. In this study, we adapted acetic-methanol method – ACME High Salt...
Parathyroid carcinoma (PC) is a rare neuroendocrine neoplasm characterized by excessive production of parathyroid hormone (PTH). Several reports demonstrated only partial capability PTH-targeted vaccination to control tumor progression in PC patients actualizing development new strategies treatment. The goal this study was develop adeno-associated viral (AAV) vector vaccines encoding mouse PTH (mPTH) the native secreted form (AAV-mPTH) or glycosylphosphatidylinositol (GPI) anchored...
A promising direction in the field of developing new drugs is synthesis molecules that combine structural features two or more biologically active substances one compound, based on assumption a molecule can "inherit" desired pharmacological properties fragments lead to emergence properties. Camptothecin, specific irreversible inhibitor topoisomerase I, poorly soluble biological fluids, which main limitation its use clinical practice. The goal our work was create camptothecin and pentacyclic...
<title>Abstract</title> Early detection of aggressive pituitary neuroendocrine tumors (PitNETs) remains challenging due to the absence reliable markers that can predict disease progression. Aggressive are typically identified through long-term observation. Tumor immune microenvironment (TIME) is crucial for understanding PitNETs' heterogeneity and identifying potential predictors tumor aggressiveness. In this study, we analyzed profile micro- macroenvironment in two somatotropinomas...
SARS-CoV-2 still presents a global threat to human health due the continued emergence of new strains and waning immunity amongst vaccinated populations. Therefore, it is relevant investigate potential therapeutics, such as therapeutic interfering particles (TIPs). Mathematical computational modelling are valuable tools study viral infection dynamics for predictive analysis. Here, we expand on previous work by Grebennikov et al. (2021) intra-cellular replication include defective (DIPs)...
SARS-CoV-2 still presents a global threat to human health due the continued emergence of new strains and waning immunity among vaccinated populations. Therefore, it is relevant investigate potential therapeutics, such as therapeutic interfering particles (TIPs). Mathematical computational modeling are valuable tools study viral infection dynamics for predictive analysis. Here, we expand on previous work intra-cellular replication include defective (DIPs) agents. We formulate deterministic...