A5035224277- Cancer Immunotherapy and Biomarkers
- Lung Cancer Treatments and Mutations
- Microbial Metabolic Engineering and Bioproduction
- Immune Cell Function and Interaction
- Monoclonal and Polyclonal Antibodies Research
- T-cell and B-cell Immunology
- CAR-T cell therapy research
- Cancer Genomics and Diagnostics
- Diabetes Treatment and Management
- Colorectal Cancer Treatments and Studies
- Immune cells in cancer
- Lung Cancer Research Studies
- Brain Metastases and Treatment
- Immunotherapy and Immune Responses
- Chronic Lymphocytic Leukemia Research
- Pancreatic function and diabetes
- Receptor Mechanisms and Signaling
- Statistical Methods in Clinical Trials
- Gene Regulatory Network Analysis
- Computational Drug Discovery Methods
- Diabetes Management and Research
- Mathematical Biology Tumor Growth
- Environmental and Biological Research in Conflict Zones
- Biosimilars and Bioanalytical Methods
- PARP inhibition in cancer therapy
Sechenov University
2019-2025
Russian Academy of Sciences
2024-2025
Institute of Numerical Mathematics
2024-2025
Sirius University of Science and Technology
2022-2025
Health Decisions (United States)
2020-2025
AstraZeneca (United Kingdom)
2020
InSysBio (Russia)
2008-2012
Institute of Theoretical and Experimental Biophysics
2008-2012
Lomonosov Moscow State University
2009
<h3>Background</h3> Numerous oncology combination therapies involving modulators of the cancer immune cycle are being developed, yet quantitative simulation models predictive outcome lacking. We here present a model-based analysis tumor size dynamics and markers, which integrates experimental data from multiple studies provides validated framework biomarkers anti-tumor response rates, for untested dosing sequences schedules combined radiation (RT) anti PD-(L)1 therapies. <h3>Methods</h3> A...
Background Intestinal microbiota plays an important role in the human health. It is involved digestion and protects host against external pathogens. Examination of intestinal microbiome interactions required for understanding community influence on Studies can provide insight methods improving health, including specific clinical procedures individual microbial composition modification correction by colonizing with new bacterial species or dietary changes. Methodology/Principal Findings In...
In the present study, we developed a detailed kinetic model of Escherichia coli central carbon metabolism. The main assumptions were based on results metabolic and regulatory reconstruction system thorough verification with experimental data. development included several stages, which allowed us to take into account both in vitro vivo data avoid ambiguity that frequently occurs models biochemical pathways. choice level detail for mathematical description enzymatic reaction rates evaluation...
Background & AimsDisturbances of the enterohepatic circulation bile acids (BAs) are seen in a number clinically important conditions, including metabolic disorders, hepatic impairment, diarrhea, and gallstone disease. To facilitate exploration underlying pathogenic mechanisms, we developed mathematical model built on quantitative physiological observations across different organs.MethodsThe consists set kinetic equations describing syntheses cholic, chenodeoxycholic, deoxycholic acids, as...
Background: Engineering chimeric antigen receptor natural killer cells (CAR-NK) with soluble interleukin-15 (IL-15) has been shown to enhance NK cell proliferation, proinflammatory cytokine secretion, and cytotoxic activity. While CAR-NK therapies have demonstrated safety in clinical trials, there is uncertainty the levels of circulating IL-15 that may be secreted patients due engineered on cells. The objective this work was develop a QSP modeling framework predict associated cellular...
Abstract Aim To develop a quantitative drug‐disease systems model to investigate the paradox that sodium‐glucose co‐transporter (SGLT)2 is responsible for >80% of proximal tubule glucose reabsorption, yet SGLT2 inhibitor treatment results in only 30% 50% less reabsorption patients with type 2 diabetes mellitus (T2DM). Materials and methods A physiologically based four‐compartment renal filtration, excretion via SGLT1 was developed as system ordinary differential equations using...
The aim of this research was to differentiate dapagliflozin, empagliflozin, and canagliflozin based on their capacity inhibit sodium‐glucose cotransporter (SGLT) 1 2 in patients with type diabetes using a previously developed quantitative systems pharmacology model renal glucose filtration, reabsorption, excretion. analysis pooled, mean study‐level data 24‐hour urinary excretion, average daily plasma glucose, estimated glomerular filtration rate collected from phase I II clinical trials...
Systems biology research and applications require creation, validation, extensive usage of mathematical models visualization simulation results by end-users. Our goal is to develop novel method for implement it in software package equipped with the sophisticated computational techniques model development, verification parameter fitting.We present workbench DBSolve Optimum which significantly improved extended successor well known DBSolve5. Concept "dynamic visualization" has been developed...
Therapy optimization remains an important challenge in the treatment of advanced non‐small cell lung cancer (NSCLC). We investigated tumor size (sum longest diameters (SLD) target lesions) and neutrophil‐to‐lymphocyte ratio (NLR) as longitudinal biomarkers for survival prediction. Data sets from 335 patients with NSCLC study NCT02087423 202 NCT01693562 durvalumab were used model qualification validation, respectively. Nonlinear Bayesian joint models designed to assess impact measurements SLD...
The adaptive immune response is initiated in lymph nodes by contact between antigen-bearing dendritic cells (DCs) and antigen-specific T cells. A selected number of naïve that recognize a specific antigen may proliferate into expanded clones, differentiate, acquire an effector phenotype. Despite growing experimental knowledge, certain mechanistic aspects cell behavior remain poorly understood. Computational modeling approaches help addressing such gaps. Here we introduce agent-based model...
Since the discovery of proprotein convertase subtilisin/kexin type 9 (PCSK9) as an attractive target in treatment hypercholesterolemia, multiple anti-PCSK9 therapeutic modalities have been pursued drug development. The objective this research is to set stage for quantitative benchmarking two pharmacological modality classes, monoclonal antibodies (mAbs) and small interfering RNA (siRNA). To end, we developed integrative mathematical model lipoprotein homeostasis describing dynamic interplay...
The thymus plays a central role in shaping human immune function. A mechanistic, quantitative description of cell dynamics and thymic output under homeostatic conditions various patho-physiological scenarios are particular interest drug development applications, e.g., the identification potential therapeutic targets selection lead candidates against infectious diseases. We here developed an integrative mathematical model thymocyte human. It incorporates mechanistic features homeostasis as...
In vivo T cell migration has been of interest to scientists for the past 60 years. kinetics are important in understanding immune response infectious agents. More recently, adoptive therapies have proven be a most promising approach treating wide range diseases, including autoimmune and cancer whereby characterization cellular represents an step towards prediction therapeutic efficacy. Here, we developed physiologically-based pharmacokinetic (PBPK) model that describes endogenous homeostasis...
Adenosine receptor type 2 (A2AR) inhibitor, AZD4635, has been shown to reduce immunosuppressive adenosine effects within the tumor microenvironment (TME) and enhance efficacy of checkpoint inhibitors across various syngeneic models. This study aims at investigating anti-tumor activity AZD4635 alone in combination with an anti-PD-L1-specific antibody (anti-PD-L1 mAb) TME conditions identifying, via mathematical quantitative modeling, a therapeutic strategy further improve treatment...