Dmitrii Medvedev

Prof. Dr. Dmitrii Medvedev

orcid

Research Focus & Metrics

Academic Career Length

18Years (2009-Present)

(Calculated once Scilit publication data is synced: current year − year of first publication + 1)

Representative Publications

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ADAnastasiia Diatlova
Anastasiia Diatlova
Natalia Sergeevna LinkovaNatalia Sergeevna Linkova
Natalia Sergeevna Linkova
ALAnastasia Lavrova
Anastasia Lavrova
UZUlia Zinchenko
Ulia Zinchenko
DMDmitrii Medvedev
Dmitrii Medvedev
PYPiotr Yablonskiy
Piotr Yablonskiy
Tuberculosis (TB) remains an important public health problem and one of the leading causes of death. Individuals with latent tuberculosis infection (LTBI) have an increased risk of developing active TB. The problem of the diagnosis of the various stages of TB and the identification of infected patients in the early stages has not yet been solved. The existing tests (the tuberculin skin test and the interferon-gamma release assay) are useful to distinguish between active and latent infections. But these tests cannot be used to predict the development of active TB in individuals with LTBI. The purpose of this review was to analyze the extant data of the interaction of M. tuberculosis with immune cells and identify molecular predictive markers and markers of the early stages of TB. An analysis of more than 90 sources from the literature allowed us to determine various subpopulations of immune cells involved in the pathogenesis of TB, namely, macrophages, dendritic cells, B lymphocytes, T helper cells, cytotoxic T lymphocytes, and NK cells. The key molecular markers of the immune response to M. tuberculosis are cytokines (IL-1β, IL-6, IL-8, IL-10, IL-12, IL-17, IL-22b, IFNɣ, TNFa, and TGFß), matrix metalloproteinases (MMP-1, MMP-3, and MMP-9), and their inhibitors (TIMP-1, TIMP-2, TIMP-3, and TIMP-4). It is supposed that these molecules could be used as biomarkers to characterize different stages of TB infection, to evaluate the effectiveness of its treatment, and as targets of pharmacotherapy.

1 January 2024 in Biomedicines
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TKTatiana Kleimenova
Tatiana Kleimenova
VPViktoria Polyakova
Viktoria Polyakova
Natalia Sergeevna LinkovaNatalia Sergeevna Linkova
Natalia Sergeevna Linkova
ADAnna Olegovna Drobintseva
Anna Olegovna Drobintseva
DMDmitrii Medvedev
Dmitrii Medvedev
AKAlexander Krasichkov
Alexander Krasichkov
Endometriosis is characterized by a condition where endometrial tissue grows outside the uterine cavity. The mechanisms of endometrium growth during endometriosis might be similar to the development of a tumor. The kisspeptin (KISS1) gene was initially discovered as a suppressor of metastasis. Matrix metalloproteinases (MMPs) and their inhibitors are described as factors in the early stages of endometriosis and tumor growth progression. We applied the quantitative polymerase chain reaction and the immunofluorescence method to investigate KISS1, its receptor (KISS1R), MMP-2, and MMP-9 in the eutopic and ectopic endometrium in women with and without endometriosis. We presume that the dysregulation of KISS1 and MMPs might contribute to endometriosis pathogenesis. Samples for the immunofluorescence study were collected from patients with a confirmed diagnosis of endometriosis in stages I–IV, aged 23 to 38 years old (n = 40). The cell line was derived from the endometrium of patients with extragenital endometriosis (n = 7). KISS1 and KISS1R expression are present in the ectopic endometrium of patients with extragenital endometriosis, as opposed to the control group where these proteins were not expressed. There is a decrease in KISS1 and KISS1R values at all stages of endometriosis. MMP-2 and MMP-9 genes express statistically significant increases in stages II, III, and IV of extragenital endometriosis. MMP synthesis increased in the last stages of endometriosis. We suppose that the KISS1/KISS1R system can be used in the future as a suppressive complex to reduce MMP-2 and MMP-9 expression and prevent endometrial cells from invading.

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Natalia Sergeevna LinkovaNatalia Sergeevna Linkova
Natalia Sergeevna Linkova
ADAnastasiia Diatlova
Anastasiia Diatlova
UZUlia Zinchenko
Ulia Zinchenko
AKAnastasiia Kornilova
Anastasiia Kornilova
Petr P. SnetkovPetr P. Snetkov
Petr P. Snetkov
PYPiotr Yablonskiy
Piotr Yablonskiy
Sarcoidosis is a complex inflammatory multisystem disease of unknown etiology that is characterised by epithelioid cell granulomatous lesions affecting various organs, mainly the lungs. In general, sarcoidosis is asymptomatic, but some cases result in severe complications and organ failure. So far, no accurate and validated modelling for clinical and pathohistological manifestations of sarcoidosis is suggested. Moreover, knowledge about disease-specific diagnostic markers for sarcoidosis is scarce. For instance, pulmonary granulomatosis is associated with the upregulated production of proinflammatory molecules: TNF-α, IL-6, CXCL1, CCL2, CCL18, CD163, serum angiotensin-converting enzyme (sACE), lysozyme, neopterin, and serum amyloid A (SAA). Quantum dots (QDs) are widely applied for molecular diagnostics of various diseases. QDs are semiconductor nanoparticles of a few nanometres in size, made from ZnS, CdS, ZnSe, etc., with unique physical and chemical properties that are useful for the labelling and detection in biological experiments. QDs can conjugate with various antibodies or oligonucleotides, allowing for high-sensitivity detection of various targets in organs and cells. Our review describes existing experimental models for sarcoidosis (in vitro, in vivo, and in silico), their advantages and restrictions, as well as the physical properties of quantum dots and their potential applications in the molecular diagnostics of sarcoidosis. The most promising experimental models include mice with TSC2 deletion and an in silico multiscale computational model of sarcoidosis (SarcoidSim), developed using transcriptomics and flow cytometry of human sarcoid biopsies. Both models are most efficient to test different candidate drugs for sarcoidosis.

22 September 2024 in Journal of Personalized Medicine
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VPViktoria Polyakova
Viktoria Polyakova
DMDmitrii Medvedev
Dmitrii Medvedev
Natalia Sergeevna LinkovaNatalia Sergeevna Linkova
Natalia Sergeevna Linkova
MMMikhail Mushkin
Mikhail Mushkin
AMAlexander Muraviov
Alexander Muraviov
AGAnna Andreevna Gorelova
Anna Andreevna Gorelova
Introduction. Melatonin and serotonin can influence certain aging processes in the ovaries. The main melatonin receptors are represented by types MT1 and MT2. The goal of investigation. Here, we evaluated the expression of genes and synthesis of MT1 and MT2 receptors, as well as serotonin synthesis in the ovaries during ontogenesis. Methods. We analyzed histological material obtained from the ovaries of infants, women of younger and older reproductive age, premenopausal, menopausal, and postmenopausal women. For the analysis of MT1 and MT2 receptors and serotonin expression and synthesis, RT-PCR and immunohistochemistry were used. Results. We found that the synthesis of serotonin, as well as MT1 and MT2 receptors in the ovaries significantly decrease in ontogenesis. The sharpest drop in these molecules was observed in samples obtained from one-year-old infants, as well as from pubescent girls and menopausal women. A statistically significant 2.3–7.6-fold decrease in the expression of MTNR1A and MTNR1B genes in the ovaries was also observed in one-year-old infants, in adolescents, and in middle-aged women. Conclusions. These data are crucial to understanding the fundamental mechanisms of aging of the female reproductive system and the search for molecules predicting its aging.

22 February 2016 in Bulletin of Experimental Biology and Medicine
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ISI. B. Sivachenko
I. B. Sivachenko
DMDmitrii Medvedev
Dmitrii Medvedev
IMI. D. Molodtsova
I. D. Molodtsova
SPS. S. Panteleev
S. S. Panteleev
ASA. Yu. Sokolov
A. Yu. Sokolov
OLO. A. Lyubashina
O. A. Lyubashina

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NKNina Kraskovskaya
Nina Kraskovskaya
NLNatalia Linkova
Natalia Linkova
ESElena Sakhenberg
Elena Sakhenberg
DKDaria Krieger
Daria Krieger
VPViktoria Polyakova
Viktoria Polyakova
GRGalina Ryzhak
Galina Ryzhak
Neurons become more vulnerable to stress factors with age, which leads to increased oxidative DNA damage, decreased activity of mitochondria and lysosomes, increased levels of p16, decreased LaminB1 proteins, and the depletion of the dendritic tree. These changes are exacerbated in vulnerable neuronal populations during the development of neurodegenerative diseases. Glu-Asp-Arg (EDR) and Lys-Glu-Asp (KED), and Ala-Glu-Asp-Gly (AEDG) peptides have previously demonstrated neuroprotective effects in various models of Alzheimer’s disease. In this study, we investigated the influence of EDR, KED, and AEDG peptides on the aging of fibroblast-derived induced neurons. We used a new in vitro cellular model of human neuronal aging based on the transdifferentiation of aged dermal fibroblasts from elderly donors into induced cortical neurons. All peptides promote the arborization of the dendritic tree, increasing both the number of primary processes and the total length of dendrites. Tripeptides have no effect on the activity of mitochondria and lysosomes and the level of p16 protein in induced neurons. EDR peptide reduces oxidative DNA damage in induced neurons derived from elderly donor fibroblasts. Short peptides partially protect induced neurons from age-related changes and stimulate dendritogenesis in neurons. They can be recommended for use as neuroprotective agents.