18 research outputs found
Alteration of Neuron-Glia Interactions in Neurodegeneration: Molecular Biomarkers and Therapeutic Strategy
Plasticity of Adipose Tissue-Derived Stem Cells and Regulation of Angiogenesis
Adipose tissue is recognized as an important organ with metabolic, regulatory, and plastic roles. Adipose tissue-derived stem cells (ASCs) with self-renewal properties localize in the stromal vascular fraction (SVF) being present in a vascular niche, thereby, contributing to local regulation of angiogenesis and vessel remodeling. In the past decades, ASCs have attracted much attention from biologists and bioengineers, particularly, because of their multilineage differentiation potential, strong proliferation, and migration abilities in vitro and high resistance to oxidative stress and senescence. Current data suggest that the SVF serves as an important source of endothelial progenitors, endothelial cells, and pericytes, thereby, contributing to vessel remodeling and growth. In addition, ASCs demonstrate intriguing metabolic and interlineage plasticity, which makes them good candidates for creating regenerative therapeutic protocols, in vitro tissue models and microphysiological systems, and tissue-on-chip devices for diagnostic and regeneration-supporting purposes. This review covers recent achievements in understanding the metabolic activity within the SVF niches (lactate and NAD+ metabolism), which is critical for maintaining the pool of ASCs, and discloses their pro-angiogenic potential, particularly, in the complex therapy of cardiovascular and cerebrovascular diseases
Endothelial Progenitor Cells Physiology and Metabolic Plasticity in Brain Angiogenesis and Blood-Brain Barrier Modeling
Copy Number of Human Ribosomal Genes With Aging: Unchanged Mean, but Narrowed Range and Decreased Variance in Elderly Group
Introduction: The multi-copied genes coding for the human 18, 5.8, and 28S ribosomal RNA (rRNA) are located in five pairs of acrocentric chromosomes forming so-called rDNA. Human genome contains unmethylated, slightly methylated, and hypermethylated copies of rDNA. The major research question: What is the rDNA copy number (rDNA CN) and the content of hypermethylated rDNA as a function of age?Materials and Methods: We determined the rDNA CN in the blood leukocyte genomes of 651 subjects aged 17 to 91 years. The subjects were divided into two subgroups: βelderlyβ group (E-group, N = 126) β individuals over 72 years of age (the age of the populationβs mean lifetime for Russia) and βnon-elderlyβ group (NE-group, N = 525). The hypermethylated rDNA content was determined in the 40 DNA samples from the each group. The change in rDNA during replicative cell senescence was studied for the cultured skin fibroblast lines of five subjects from NE-group. Non-radioactive quantitative dot- and blot-hybridization techniques (NQH) were applied.Results: In the subjects from the E-group the mean rDNA CN was the same, but the range of variation was narrower compared to the NE-group: a range of 272 to 541 copies in E-group vs. 200 to 711 copies in NE-group. Unlike NE-group, the E-group genomes contained almost no hypermethylated rDNA copies. A case study of cultured skin fibroblasts from five subjects has shown that during the replicative senescence the genome lost hypermethylated rDNA copies only.Conclusion: In the elderly group, the mean rDNA CN is the same, but the range of variation is narrower compared with the younger subjects. During replicative senescence, the human fibroblast genome loses hypermethylated copies of rDNA. Two hypotheses were put forward: (1) individuals with either very low or very high rDNA content in their genomes do not survive till the age of the populationβs mean lifetime; and/or (2) during the aging, the human genome eliminates hypermethylated copies of rDNA
Neuroinflammation and Infection: Molecular Mechanisms Associated with Dysfunction of Neurovascular Unit
Neuroinflammation is a complex inflammatory process in the central nervous system, which is sought to play an important defensive role against various pathogens, toxins or factors that induce neurodegeneration. The onset of neurodegenerative diseases and various microbial infections are counted as stimuli that can challenge the host immune system and trigger the development of neuroinflammation. The homeostatic nature of neuroinflammation is essential to maintain the neuroplasticity. Neuroinflammation is regulated by the activity of neuronal, glial, and endothelial cells within the neurovascular unit, which serves as a βplatformβ for the coordinated action of pro- and anti-inflammatory mechanisms. Production of inflammatory mediators (cytokines, chemokines, reactive oxygen species) by brain resident cells or cells migrating from the peripheral blood, results in the impairment of blood-brain barrier integrity, thereby further affecting the course of local inflammation. In this review, we analyzed the most recent data on the central nervous system inflammation and focused on major mechanisms of neurovascular unit dysfunction caused by neuroinflammation and infections
The Phosphonate Derivative of C60 Fullerene Induces Differentiation towards the Myogenic Lineage in Human Adipose-Derived Mesenchymal Stem Cells
Inductors of myogenic stem cell differentiation attract attention, as they can be used to treat myodystrophies and post-traumatic injuries. Functionalization of fullerenes makes it possible to obtain water-soluble derivatives with targeted biochemical activity. This study examined the effects of the phosphonate C60 fullerene derivatives on the expression of myogenic transcription factors and myogenic differentiation of human mesenchymal stem cells (MSCs). Uptake of the phosphonate C60 fullerene derivatives in human MSCs, intracellular ROS visualization, superoxide scavenging potential, and the expression of myogenic, adipogenic, and osteogenic differentiation genes were studied. The prolonged MSC incubation (within 7β14 days) with the C60 pentaphoshonate potassium salt promoted their differentiation towards the myogenic lineage. The transcription factors and gene expressions determining myogenic differentiation (MYOD1, MYOG, MYF5, and MRF4) increased, while the expression of osteogenic differentiation factors (BMP2, BMP4, RUNX2, SPP1, and OCN) and adipogenic differentiation factors (CEBPB, LPL, and AP2 (FABP4)) was reduced or did not change. The stimulation of autophagy may be one of the factors contributing to the increased expression of myogenic differentiation genes in MSCs. Autophagy may be caused by intracellular alkalosis and/or short-term intracellular oxidative stress
Π‘ΠΎΠ²ΡΠ΅ΠΌΠ΅Π½Π½ΡΠ΅ ΠΌΠ΅ΡΠΎΠ΄Ρ ΠΈ ΠΌΠ°ΡΠ΅ΡΠΈΠ°Π»Ρ ΠΌΠΎΠ΄Π΅Π»ΠΈΡΠΎΠ²Π°Π½ΠΈΡ ΡΠΊΠ°Π½Π΅ΠΉ ΠΌΠΎΠ·Π³Π° ΠΈ Π³Π΅ΠΌΠ°ΡΠΎΡΠ½ΡΠ΅ΡΠ°Π»ΠΈΡΠ΅ΡΠΊΠΎΠ³ΠΎ Π±Π°ΡΡΠ΅ΡΠ° in vitro
Neurovascular unit (NVU) is an ensemble of brain cells (cerebral endothelial cells, astrocytes, pericytes, neurons, and microglia), which regulates processes of transport through the blood-brain barrier (BBB) and controls local microcirculation and intercellular metabolic coupling. Dysfunction of NVU contributes to numerous types of central nervous system pathology. NVU pathophysiology has been extensively studied in various animal models of brain disorders, and there is growing evidence that modern approaches utilizing in vitro models are very promising for the assessment of intercellular communications within the NVU. Development of NVUβon-chip or BBBβon-chip as well as 3D NVU and brain tissue models suggests novel clues to understanding cell-to-cell interactions critical for brain functional activity, being therefore very important for translational studies, drug discovery, and development of novel analytical platforms. One of the mechanisms controlled by NVU activity is neurogenesis in highly specialized areas of brain (neurogenic niches, NNs), which are well-equipped for the maintenance of stem/progenitor cell pool and proliferation, differentiation, and migration of newly formed neuronal and glial cells. Specific properties of brain microvascular endothelial cells, particularly, high content of mitochondria, are important for establishment of vascular support in NVU and NNs. Metabolic activity of cells within NNs and NVU contributes to maintaining intercellular communications critical for the multicellular module integrity. We will discuss modern approaches to development of optimal microenvironment for in vitro BBB, NVU and NN models with the special
focus on neuroengineering and bioprinting potentialsΠΠ΅ΠΉΡΠΎΠ²Π°ΡΠΊΡΠ»ΡΡΠ½Π°Ρ Π΅Π΄ΠΈΠ½ΠΈΡΠ° (ΠΠΠ) β ΡΡΠΎ ΡΠΎΠ²ΠΎΠΊΡΠΏΠ½ΠΎΡΡΡ ΠΊΠ»Π΅ΡΠΎΠΊ Π³ΠΎΠ»ΠΎΠ²Π½ΠΎΠ³ΠΎ ΠΌΠΎΠ·Π³Π°
(ΡΠ΅ΡΠ΅Π±ΡΠ°Π»ΡΠ½ΡΠ΅ ΡΠ½Π΄ΠΎΡΠ΅Π»ΠΈΠ°Π»ΡΠ½ΡΠ΅ ΠΊΠ»Π΅ΡΠΊΠΈ, Π°ΡΡΡΠΎΡΠΈΡΡ, ΠΏΠ΅ΡΠΈΡΠΈΡΡ, Π½Π΅ΠΉΡΠΎΠ½Ρ, ΠΌΠΈΠΊΡΠΎΠ³Π»ΠΈΡ), ΠΊΠΎΡΠΎΡΡΠ΅
ΡΠ΅Π³ΡΠ»ΠΈΡΡΡΡ ΠΏΡΠΎΡΠ΅ΡΡΡ ΡΡΠ°Π½ΡΠΏΠΎΡΡΠ° ΡΠ΅ΡΠ΅Π· Π³Π΅ΠΌΠ°ΡΠΎΡΠ½ΡΠ΅ΡΠ°Π»ΠΈΡΠ΅ΡΠΊΠΈΠΉ Π±Π°ΡΡΠ΅Ρ (ΠΠΠ), ΠΊΠΎΠ½ΡΡΠΎΠ»ΠΈΡΡΡΡ
ΠΌΠ΅ΡΡΠ½ΡΡ ΠΌΠΈΠΊΡΠΎΡΠΈΡΠΊΡΠ»ΡΡΠΈΡ, ΠΌΠ΅ΠΆΠΊΠ»Π΅ΡΠΎΡΠ½ΡΡ ΠΌΠ΅ΡΠ°Π±ΠΎΠ»ΠΈΡΠ΅ΡΠΊΡΡ ΡΠ²ΡΠ·Ρ. ΠΠΈΡΡΡΠ½ΠΊΡΠΈΡ ΠΠΠ ΡΠΏΠΎΡΠΎΠ±ΡΡΠ²ΡΠ΅Ρ
Π²ΠΎΠ·Π½ΠΈΠΊΠ½ΠΎΠ²Π΅Π½ΠΈΡ ΠΌΠ½ΠΎΠ³ΠΈΡ
ΡΠΈΠΏΠΎΠ² ΠΏΠ°ΡΠΎΠ»ΠΎΠ³ΠΈΠΈ ΡΠ΅Π½ΡΡΠ°Π»ΡΠ½ΠΎΠΉ Π½Π΅ΡΠ²Π½ΠΎΠΉ ΡΠΈΡΡΠ΅ΠΌΡ. ΠΠ°ΡΠΎΡΠΈΠ·ΠΈΠΎΠ»ΠΎΠ³ΠΈΡ ΠΠΠ
ΡΠΈΡΠΎΠΊΠΎ ΠΈΠ·ΡΡΠ΅Π½Π° Π½Π° ΡΠ°Π·Π»ΠΈΡΠ½ΡΡ
ΠΌΠΎΠ΄Π΅Π»ΡΡ
Π·Π°Π±ΠΎΠ»Π΅Π²Π°Π½ΠΈΠΉ ΠΌΠΎΠ·Π³Π° Π½Π° ΠΆΠΈΠ²ΠΎΡΠ½ΡΡ
. Π Π½Π°ΡΡΠΎΡΡΠ΅Π΅ Π²ΡΠ΅ΠΌΡ
ΠΏΠΎΡΠ²Π»ΡΠ΅ΡΡΡ Π²ΡΠ΅ Π±ΠΎΠ»ΡΡΠ΅ ΡΠ²ΠΈΠ΄Π΅ΡΠ΅Π»ΡΡΡΠ² ΡΠΎΠ³ΠΎ, ΡΡΠΎ ΡΠΎΠ²ΡΠ΅ΠΌΠ΅Π½Π½ΡΠ΅ ΠΏΠΎΠ΄Ρ
ΠΎΠ΄Ρ Ρ ΠΈΡΠΏΠΎΠ»ΡΠ·ΠΎΠ²Π°Π½ΠΈΠ΅ΠΌ ΠΌΠΎΠ΄Π΅Π»Π΅ΠΉ in
vitro Π½Π°ΠΈΠ±ΠΎΠ»Π΅Π΅ ΠΏΠ΅ΡΡΠΏΠ΅ΠΊΡΠΈΠ²Π½Ρ Π΄Π»Ρ ΠΎΡΠ΅Π½ΠΊΠΈ ΠΌΠ΅ΠΆΠΊΠ»Π΅ΡΠΎΡΠ½ΡΡ
ΠΊΠΎΠΌΠΌΡΠ½ΠΈΠΊΠ°ΡΠΈΠΉ Π²Π½ΡΡΡΠΈ ΠΠΠ. Π Π°Π·ΡΠ°Π±ΠΎΡΠΊΠ°
ΡΠΎΡΡΠ΄ΠΈΡΡΠΎ-Π½Π΅ΡΠ²Π½ΡΡ
Π΅Π΄ΠΈΠ½ΠΈΡ Π½Π° ΡΠΈΠΏΠ΅ ΠΈΠ»ΠΈ ΠΠΠ Π½Π° ΡΠΈΠΏΠ΅, Π° ΡΠ°ΠΊΠΆΠ΅ 3D ΠΠΠ ΠΈ ΠΌΠΎΠ΄Π΅Π»ΠΈ ΡΠΊΠ°Π½ΠΈ ΠΌΠΎΠ·Π³Π°
ΠΎΠ±Π΅ΡΠΏΠ΅ΡΠΈΠ²Π°ΡΡ Π½ΠΎΠ²ΡΠ΅ ΠΏΠΎΠ΄Ρ
ΠΎΠ΄Ρ ΠΊ ΠΏΠΎΠ½ΠΈΠΌΠ°Π½ΠΈΡ ΠΌΠ΅ΠΆΠΊΠ»Π΅ΡΠΎΡΠ½ΡΡ
Π²Π·Π°ΠΈΠΌΠΎΠ΄Π΅ΠΉΡΡΠ²ΠΈΠΉ, ΠΊΡΠΈΡΠΈΡΠ΅ΡΠΊΠΈΡ
Π΄Π»Ρ
ΡΡΠ½ΠΊΡΠΈΠΎΠ½Π°Π»ΡΠ½ΠΎΠΉ Π°ΠΊΡΠΈΠ²Π½ΠΎΡΡΠΈ ΠΌΠΎΠ·Π³Π°, ΠΏΠΎΡΡΠΎΠΌΡ ΠΎΠ½ΠΈ ΠΎΡΠ΅Π½Ρ Π²Π°ΠΆΠ½Ρ Π΄Π»Ρ ΡΡΠ°Π½ΡΠ»ΡΡΠΈΠΎΠ½Π½ΡΡ
ΠΈΡΡΠ»Π΅Π΄ΠΎΠ²Π°Π½ΠΈΠΉ,
ΠΎΡΠΊΡΡΡΠΈΡ Π»Π΅ΠΊΠ°ΡΡΡΠ² ΠΈ ΡΠΎΠ·Π΄Π°Π½ΠΈΡ Π½ΠΎΠ²ΡΡ
Π°Π½Π°Π»ΠΈΡΠΈΡΠ΅ΡΠΊΠΈΡ
ΠΏΠ»Π°ΡΡΠΎΡΠΌ. ΠΠ΄Π½ΠΈΠΌ ΠΈΠ· ΠΌΠ΅Ρ
Π°Π½ΠΈΠ·ΠΌΠΎΠ², ΠΊΠΎΡΠΎΡΡΠΉ
ΠΊΠΎΠ½ΡΡΠΎΠ»ΠΈΡΡΠ΅ΡΡΡ Π°ΠΊΡΠΈΠ²Π½ΠΎΡΡΡΡ ΠΠΠ, ΡΠ²Π»ΡΠ΅ΡΡΡ Π½Π΅ΠΉΡΠΎΠ³Π΅Π½Π΅Π· Π² ΡΠ·ΠΊΠΎΡΠΏΠ΅ΡΠΈΠ°Π»ΠΈΠ·ΠΈΡΠΎΠ²Π°Π½Π½ΡΡ
ΠΎΠ±Π»Π°ΡΡΡΡ
ΠΌΠΎΠ·Π³Π° (Π½Π΅ΠΉΡΠΎΠ³Π΅Π½Π½ΡΠ΅ Π½ΠΈΡΠΈ, ΠΠ), ΠΊΠΎΡΠΎΡΡΠ΅ ΡΠ»ΡΠΆΠ°Ρ ΠΈΡΡΠΎΡΠ½ΠΈΠΊΠΎΠΌ Π΄Π»Ρ ΠΏΠΎΠ΄Π΄Π΅ΡΠΆΠ°Π½ΠΈΡ ΠΏΡΠ»Π° ΡΡΠ²ΠΎΠ»ΠΎΠ²ΡΡ
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ΠΏΡΠΎΠ³Π΅Π½ΠΈΡΠΎΡΠ½ΡΡ
ΠΊΠ»Π΅ΡΠΎΠΊ, ΠΏΡΠΎΠ»ΠΈΡΠ΅ΡΠ°ΡΠΈΠΈ, Π΄ΠΈΡΡΠ΅ΡΠ΅Π½ΡΠΈΠ°ΡΠΈΠΈ ΠΈ ΠΌΠΈΠ³ΡΠ°ΡΠΈΠΈ Π½ΠΎΠ²ΠΎΠΎΠ±ΡΠ°Π·ΠΎΠ²Π°Π½Π½ΡΡ
Π½Π΅ΠΉΡΠΎΠ½ΠΎΠ²
ΠΈ Π³Π»ΠΈΠ°Π»ΡΠ½ΡΡ
ΠΊΠ»Π΅ΡΠΎΠΊ. Π‘ΠΏΠ΅ΡΠΈΡΠΈΡΠ΅ΡΠΊΠΈΠ΅ ΡΠ²ΠΎΠΉΡΡΠ²Π°
ΡΠ½Π΄ΠΎΡΠ΅Π»ΠΈΠ°Π»ΡΠ½ΡΡ
ΠΊΠ»Π΅ΡΠΎΠΊ ΠΌΠΈΠΊΡΠΎΡΠΎΡΡΠ΄ΠΎΠ² Π³ΠΎΠ»ΠΎΠ²Π½ΠΎΠ³ΠΎ
ΠΌΠΎΠ·Π³Π°, Π² ΡΠ°ΡΡΠ½ΠΎΡΡΠΈ Π²ΡΡΠΎΠΊΠΎΠ΅ ΡΠΎΠ΄Π΅ΡΠΆΠ°Π½ΠΈΠ΅ ΠΌΠΈΡΠΎΡ
ΠΎΠ½Π΄ΡΠΈΠΉ, Π²Π°ΠΆΠ½Ρ Π΄Π»Ρ ΡΠΎΠ·Π΄Π°Π½ΠΈΡ ΡΠΎΡΡΠ΄ΠΈΡΡΠΎΠΉ ΠΏΠΎΠ΄Π΄Π΅ΡΠΆΠΊΠΈ
ΠΏΡΠΈ ΠΠΠ ΠΈ ΠΠ. ΠΠ΅ΡΠ°Π±ΠΎΠ»ΠΈΡΠ΅ΡΠΊΠ°Ρ Π°ΠΊΡΠΈΠ²Π½ΠΎΡΡΡ ΠΊΠ»Π΅ΡΠΎΠΊ Π²Π½ΡΡΡΠΈ ΠΠ ΠΈ ΠΠΠ ΡΠΏΠΎΡΠΎΠ±ΡΡΠ²ΡΠ΅Ρ ΠΏΠΎΠ΄Π΄Π΅ΡΠΆΠ°Π½ΠΈΡ
ΠΌΠ΅ΠΆΠΊΠ»Π΅ΡΠΎΡΠ½ΡΡ
ΠΊΠΎΠΌΠΌΡΠ½ΠΈΠΊΠ°ΡΠΈΠΉ, ΠΊΡΠΈΡΠΈΡΠ΅ΡΠΊΠΈ Π²Π°ΠΆΠ½ΡΡ
Π΄Π»Ρ ΡΠ΅Π»ΠΎΡΡΠ½ΠΎΡΡΠΈ ΠΌΠ½ΠΎΠ³ΠΎΠΊΠ»Π΅ΡΠΎΡΠ½ΠΎΠ³ΠΎ ΠΌΠΎΠ΄ΡΠ»Ρ.
Π ΡΠ°Π±ΠΎΡΠ΅ ΠΎΠ±ΡΡΠΆΠ΄Π°ΡΡΡΡ ΡΠΎΠ²ΡΠ΅ΠΌΠ΅Π½Π½ΡΠ΅ ΠΏΠΎΠ΄Ρ
ΠΎΠ΄Ρ ΠΊ ΡΠ°Π·ΡΠ°Π±ΠΎΡΠΊΠ΅ ΠΎΠΏΡΠΈΠΌΠ°Π»ΡΠ½ΠΎΠΉ ΠΌΠΈΠΊΡΠΎΡΡΠ΅Π΄Ρ Π΄Π»Ρ in vitro
ΠΌΠΎΠ΄Π΅Π»Π΅ΠΉ ΠΠΠ, ΠΠΠ ΠΈ ΠΠ. ΠΡΠΎΠ±ΠΎΠ΅ Π²Π½ΠΈΠΌΠ°Π½ΠΈΠ΅ ΡΠ΄Π΅Π»Π΅Π½ΠΎ ΠΏΠ΅ΡΡΠΏΠ΅ΠΊΡΠΈΠ²Π°ΠΌ Π½Π΅ΠΉΡΠΎΠΈΠ½ΠΆΠ΅Π½Π΅ΡΠΈΠΈ ΠΈ Π±ΠΈΠΎΠΏΠ΅ΡΠ°Ρ
Une Γ’me de jeune fille [ : Gabrielle***] / Jean Vaudon,...
<p>A. Distribution of CpG-motifs within rDNA (transcribed region of human ribosomal repeat). The digits indicate the nucleotide order number, the vertical bar shows the motif location. Red color is used to mark region A and region B, that were analyzed for the presence of methylated CCGG sites. B. Determination of methylation index of three genes in DNA from cells treated with 20 ΞΌM DBP(1β4), 72 h (description is given in Methods).</p