28 research outputs found
ΠΠΠ’ΠΠ Π‘Π’ΠΠ¦ΠΠΠΠ¬ΠΠ«Π ΠΠΠΠ‘ΠΠΠΠΠΠ ΠΠ«Π ΠΠΠΠ’ΠΠ
This article is devoted to interstitial Cajal cells (syn. telocytes, interstitial pacemaker cells, IPC). First those cells were discovered by C.R Cajal in the muscle coat of the gut in 1893. Nowadays they have revealed in all parts of digestive systems (from esophagus to rectum), urinary and biliary tracts, prostate, liver, the walls of arteries and lymphatics, as well Fallopian tube, myometrium, mammary glands. Characteristic ultrastructural features are elongated spindle shape, length from 40 to 100 ΞΌm, the thickness of 0.2β0.5 ΞΌm, the presence of 2β5 processes. Length of them ranging from tens to hundreds of micrometers, some of them have secondary and tertiary branching, forming a three-dimensional network. IPC having spontaneous electrical (pacemaker) activity are cause to contraction of smooth muscle cells. Depending on the location of IPC have different morphological and ultrastructural characteristics. Characteristic immunohistochemical markers are CD117, CD34, S100, vimentin. IPC replay to acetylcholine, norepinephrine, estrogen, progesterone, and nitric oxide by influence of corresponding receptors. IPC have specific gap junctions with lymphocytes, basophiles, eosinophils, neutrophils, mast cells and dendritic cells. Grave pathology of those cells are forming gastrointestinal stromal tumors.ΠΡΠ΅Π΄ΡΡΠ°Π²Π»Π΅Π½Ρ Π΄Π°Π½Π½ΡΠ΅ Π»ΠΈΡΠ΅ΡΠ°ΡΡΡΡ ΠΎΠ± ΠΈΠ½ΡΠ΅ΡΡΡΠΈΡΠΈΠ°Π»ΡΠ½ΡΡ
ΠΊΠ»Π΅ΡΠΊΠ°Ρ
ΠΠ°Ρ
Π°Π»Ρ (ΡΠΈΠ½. ΡΠ΅Π»ΠΎΡΠΈΡΡ, ΠΈΠ½ΡΠ΅ΡΡΡΠΈΡΠΈΠ°Π»ΡΠ½ΡΠ΅ ΠΏΠ΅ΠΉΡΠΌΠ΅ΠΉΠΊΠ΅ΡΠ½ΡΠ΅ ΠΊΠ»Π΅ΡΠΊΠΈ, ΠΠΠ). ΠΠΏΠ΅ΡΠ²ΡΠ΅ ΡΡΠΈ ΠΊΠ»Π΅ΡΠΊΠΈ Π±ΡΠ»ΠΈ ΠΎΠΏΠΈΡΠ°Π½Ρ C.Π . ΠΠ°Ρ
Π°Π»Π΅ΠΌ Π² ΠΌΡΡΠ΅ΡΠ½ΠΎΠΌ ΡΠ»ΠΎΠ΅ ΡΡΠ΅Π½ΠΊΠΈ ΠΊΠΈΡΠΊΠΈ Π² 1893 Π³. Π Π½Π°ΡΡΠΎΡΡΠ΅Π΅ Π²ΡΠ΅ΠΌΡ ΠΎΠ½ΠΈ ΠΎΠ±Π½Π°ΡΡΠΆΠ΅Π½Ρ Π²ΠΎ Π²ΡΠ΅Ρ
ΠΎΡΠ΄Π΅Π»Π°Ρ
ΠΆΠ΅Π»ΡΠ΄ΠΎΡΠ½ΠΎ-ΠΊΠΈΡΠ΅ΡΠ½ΠΎΠ³ΠΎ ΡΡΠ°ΠΊΡΠ° ΠΎΡ Π½ΠΈΠΆΠ½Π΅ΠΉ ΡΡΠ΅ΡΠΈ ΠΏΠΈΡΠ΅Π²ΠΎΠ΄Π° Π΄ΠΎ ΠΏΡΡΠΌΠΎΠΉ ΠΊΠΈΡΠΊΠΈ, Π° ΡΠ°ΠΊΠΆΠ΅ Π² ΠΌΠΎΡΠ΅Π²ΡΡ
ΠΈ ΠΆΠ΅Π»ΡΠ½ΡΡ
ΠΏΡΡΡΡ
, ΠΏΡΠ΅Π΄ΡΡΠ°ΡΠ΅Π»ΡΠ½ΠΎΠΉ ΠΆΠ΅Π»Π΅Π·Π΅, ΠΏΠ΅ΡΠ΅Π½ΠΈ, ΡΡΠ΅Π½ΠΊΠ°Ρ
Π°ΡΡΠ΅ΡΠΈΠΉ ΠΈ Π»ΠΈΠΌΡΠ°ΡΠΈΡΠ΅ΡΠΊΠΈΡ
ΡΠΎΡΡΠ΄ΠΎΠ², ΡΠ°Π»Π»ΠΎΠΏΠΈΠ΅Π²ΡΡ
ΡΡΡΠ±Π°Ρ
, ΠΌΠΈΠΎΠΌΠ΅ΡΡΠΈΠΈ, ΠΌΠΎΠ»ΠΎΡΠ½ΠΎΠΉ ΠΆΠ΅Π»Π΅Π·Π΅. ΠΡ
Ρ
Π°ΡΠ°ΠΊΡΠ΅ΡΠ½ΡΠΌΠΈ ΡΠ»ΡΡΡΠ°ΡΡΡΡΠΊΡΡΡΠ½ΡΠΌΠΈ ΠΏΡΠΈΠ·Π½Π°ΠΊΠ°ΠΌΠΈ ΡΠ²Π»ΡΡΡΡΡ Π²ΡΡΡΠ½ΡΡΠ°Ρ Π²Π΅ΡΠ΅ΡΠ΅Π½ΠΎΠ²ΠΈΠ΄Π½Π°Ρ ΡΠΎΡΠΌΠ°, Π΄Π»ΠΈΠ½Π° ΠΎΡ 40 Π΄ΠΎ 100 ΞΌΠΌ, ΡΠΎΠ»ΡΠΈΠ½Π° 0,2β0,5 ΞΌΠΌ, Π½Π°Π»ΠΈΡΠΈΠ΅ 2β5 ΠΎΡΡΠΎΡΡΠΊΠΎΠ². ΠΠ»ΠΈΠ½Π° ΠΎΡΡΠΎΡΡΠΊΠΎΠ² ΠΊΠΎΠ»Π΅Π±Π»Π΅ΡΡΡ ΠΎΡ Π½Π΅ΡΠΊΠΎΠ»ΡΠΊΠΈΡ
Π΄Π΅ΡΡΡΠΊΠΎΠ² Π΄ΠΎ ΡΠΎΡΠ½ΠΈ ΞΌΠΌ, ΡΠ°ΡΡΡ ΠΈΠ· Π½ΠΈΡ
ΠΈΠΌΠ΅Π΅Ρ Π²ΡΠΎΡΠΈΡΠ½ΠΎΠ΅ ΠΈ ΡΡΠ΅ΡΠΈΡΠ½ΠΎΠ΅ Π²Π΅ΡΠ²Π»Π΅Π½ΠΈΠ΅, ΠΎΠ±ΡΠ°Π·ΡΡ ΡΡΠ΅Ρ
ΠΌΠ΅ΡΠ½ΡΡ ΡΠ΅ΡΡ. ΠΠ° ΡΡΠ΅Ρ ΡΠΏΠΎΠ½ΡΠ°Π½Π½ΠΎΠΉ ΡΠ»Π΅ΠΊΡΡΠΈΡΠ΅ΡΠΊΠΎΠΉ (ΠΏΠ΅ΠΉΡΠΌΠ΅ΠΉΠΊΠ΅ΡΠ½ΠΎΠΉ) Π°ΠΊΡΠΈΠ²Π½ΠΎΡΡΠΈ ΠΠΠ ΠΎΠ±ΡΡΠ»ΠΎΠ²Π»ΠΈΠ²Π°ΡΡ ΡΠΎΠΊΡΠ°ΡΠ΅Π½ΠΈΠ΅ Π³Π»Π°Π΄ΠΊΠΎΠΌΡΡΠ΅ΡΠ½ΡΡ
ΠΊΠ»Π΅ΡΠΎΠΊ. Π Π·Π°Π²ΠΈΡΠΈΠΌΠΎΡΡΠΈ ΠΎΡ Π»ΠΎΠΊΠ°Π»ΠΈΠ·Π°ΡΠΈΠΈ ΠΠΠ ΠΈΠΌΠ΅ΡΡ ΡΠ°Π·Π»ΠΈΡΠ½ΡΠ΅ ΠΌΠΎΡΡΠΎΠ»ΠΎΠ³ΠΈΡΠ΅ΡΠΊΠΈΠ΅ ΠΈ ΡΠ»ΡΡΡΠ°ΡΡΡΡΠΊΡΡΡΠ½ΡΠ΅ Ρ
Π°ΡΠ°ΠΊΡΠ΅ΡΠΈΡΡΠΈΠΊΠΈ. Π₯Π°ΡΠ°ΠΊΡΠ΅ΡΠ½ΡΠΌΠΈ ΠΈΠΌΠΌΡΠ½ΠΎΠ³ΠΈΡΡΠΎΡ
ΠΈΠΌΠΈΡΠ΅ΡΠΊΠΈΠΌΠΈ ΠΌΠ°ΡΠΊΠ΅ΡΠ°ΠΌΠΈ ΡΠ²Π»ΡΡΡΡΡ CD117, CD34, S100, Π²ΠΈΠΌΠ΅Π½ΡΠΈΠ½. ΠΠΎΡΡΠ΅Π΄ΡΡΠ²ΠΎΠΌ Π²Π»ΠΈΡΠ½ΠΈΡ Π½Π° ΡΠΎΠΎΡΠ²Π΅ΡΡΡΠ²ΡΡΡΠΈΠ΅ ΡΠ΅ΡΠ΅ΠΏΡΠΎΡΡ ΠΠΠ ΠΎΡΠ²Π΅ΡΠ°ΡΡ Π½Π° Π²ΠΎΠ·Π΄Π΅ΠΉΡΡΠ²ΠΈΡ Π°ΡΠ΅ΡΠΈΠ»Ρ
ΠΎΠ»ΠΈΠ½Π°, Π½ΠΎΡΠ°Π΄ΡΠ΅Π½Π°Π»ΠΈΠ½Π°, ΡΡΡΡΠΎΠ³Π΅Π½Π°, ΠΏΡΠΎΠ³Π΅ΡΡΠ΅ΡΠΎΠ½Π°, ΠΎΠΊΡΠΈΠ΄Π° Π°Π·ΠΎΡΠ°. ΠΠΠ ΡΠ°ΠΊΠΆΠ΅ Π²Π·Π°ΠΈΠΌΠΎΠ΄Π΅ΠΉΡΡΠ²ΡΡΡ Ρ Π»ΠΈΠΌΡΠΎΡΠΈΡΠ°ΠΌΠΈ, Π±Π°Π·ΠΎΡΠΈΠ»Π°ΠΌΠΈ, ΡΠΎΠ·ΠΈΠ½ΠΎΡΠΈΠ»Π°ΠΌΠΈ, Π½Π΅ΠΉΡΡΠΎΡΠΈΠ»Π°ΠΌΠΈ, ΡΡΡΠ½ΡΠΌΠΈ ΠΈ Π΄Π΅Π½Π΄ΡΠΈΡΠ½ΡΠΌΠΈ ΠΊΠ»Π΅ΡΠΊΠ°ΠΌΠΈ. ΠΡΠΎΠ·Π½ΠΎΠΉ ΠΏΠ°ΡΠΎΠ»ΠΎΠ³ΠΈΠ΅ΠΉ ΡΡΠΈΡ
ΠΊΠ»Π΅ΡΠΎΠΊ ΡΠ²Π»ΡΠ΅ΡΡΡ ΡΠ°Π·Π²ΠΈΡΠΈΠ΅ Ρ.Π½. Π³Π°ΡΡΡΠΎΠΈΠ½ΡΠ΅ΡΡΠΈΠ½Π°Π»ΡΠ½ΡΡ
ΡΡΡΠΎΠΌΠ°Π»ΡΠ½ΡΡ
ΠΎΠΏΡΡ
ΠΎΠ»Π΅ΠΉ
Blood plasma small non-coding RNAs as diagnostic molecules for the progesterone-receptor-negative phenotype of serous ovarian tumors
The expression level of the progesterone receptor (PGR) plays a crucial role in determining the biological characteristics of serous ovarian carcinoma. Low PGR expression is associated with chemoresistance and a poorer outcome. In this study, our objective was to explore the relationship between tumor progesterone receptor levels and RNA profiles (miRNAs, piwiRNAs, and mRNAs) to understand their biological characteristics and behavior. To achieve this, we employed next-generation sequencing of small non-coding RNAs, quantitative RT-PCR, and immunohistochemistry to analyze both FFPE and frozen tumor samples, as well as blood plasma from patients with benign cystadenoma (BSC), serous borderline tumor (SBT), low-grade serous ovarian carcinoma (LGSOC), and high-grade serous ovarian carcinoma (HGSOC). Our findings revealed significant upregulation of MMP7 and MUC16, along with downregulation of PGR, in LGSOC and HGSOC compared to BSC. We observed significant correlations of PGR expression levels in tumor tissue with the contents of miR-199a-5p, miR-214-3p, miR-424-3p, miR-424-5p, and miR-125b-5p, which potentially target MUC16, MMP7, and MMP9, as well as with the tissue content of miR-16-5p, miR-17-5p, miR-20a-5p, and miR-93-5p, which are associated with the epithelialβmesenchymal transition (EMT) of cells. The levels of EMT-associated miRNAs were significantly correlated with the content of hsa_piR_022437, hsa_piR_009295, hsa_piR_020813, hsa_piR_004307, and hsa_piR_019914 in tumor tissues. We developed two optimal logistic regression models using the quantitation of hsa_piR_020813, miR-16-5p, and hsa_piR_022437 or hsa_piR_004307, hsa_piR_019914, and miR-93-5p in the tumor tissue, which exhibited a significant ability to diagnose the PGR-negative tumor phenotype with 93% sensitivity. Of particular interest, the blood plasma levels of miR-16-5p and hsa_piR_022437 could be used to diagnose the PGR-negative tumor phenotype with 86% sensitivity even before surgery and chemotherapy. This knowledge can help in choosing the most effective treatment strategy for this aggressive type of ovarian cancer, such as neoadjuvant chemotherapy followed by cytoreduction in combination with hyperthermic intraperitoneal chemotherapy and targeted therapy, thus enhancing the treatmentβs effectiveness and the patientβs longevity.Proteomic
ΠΠ½ΡΠ΅ΠΊΡΠΈΠΈ, ΡΠ²ΡΠ·Π°Π½Π½ΡΠ΅ Ρ ΠΎΠΊΠ°Π·Π°Π½ΠΈΠ΅ΠΌ ΠΌΠ΅Π΄ΠΈΡΠΈΠ½ΡΠΊΠΎΠΉ ΠΏΠΎΠΌΠΎΡΠΈ (ΠΠ‘ΠΠ), Π² ΡΠΎΠ΄ΠΎΠ²ΡΠΏΠΎΠΌΠΎΠ³Π°ΡΠ΅Π»ΡΠ½ΡΡ ΡΡΡΠ΅ΠΆΠ΄Π΅Π½ΠΈΡΡ Π ΠΎΡΡΠΈΠΉΡΠΊΠΎΠΉ Π€Π΅Π΄Π΅ΡΠ°ΡΠΈΠΈ (ΡΠΎΡΡΠΎΡΠ½ΠΈΠ΅ ΠΏΡΠΎΠ±Π»Π΅ΠΌΡ Π² Π½Π°ΡΠ°Π»Π΅ XXI Π²Π΅ΠΊΠ°)
Over the past decade, the healthcare system of the Russian Federation has undergone progressive changes in the system of maternity care, which relate to the development of infrastructure and the introduction of new organizational models. In particular, a three-level system of providing medical care to mothers and children has been created, including a network of perinatal centers for patients at high perinatal and obstetric risk. Field events of specialists of National Medical Research Center for Obstetrics, Gynecology and Perinatology named after Academician V.I. Kulakov of Ministry of Healthcare of Russian Federation to the medical organizations of maternity care in various regions of Russia revealed hot spots that require primary attention: acute shortage of staff for the implementation of diagnostic and therapeutic measures at the modern methodological level, as well as for ensuring epidemiological safety in the medical organizations (medical microbiologists (bacteriologists), clinical pharmacologists and epidemiologists); the lack of registration of healthcare-associated infections, which is associated with the prevailing in the country mainly punitive methods of combating hospital infections. In modern conditions of nursing preterm babies, newborns with various severe somatic and surgical pathologies, it is necessary to know the real indicators of morbidity in order to reasonably and promptly carry out therapeutic and preventive measures; the need to organize modern microbiological laboratories in the perinatal centers with the availability of fast methods (proteomic and molecular-genetic) diagnostics, allowing for microbiological monitoring in specialized departments of newborns and promptly respond to the changes in the epidemiological situation in the hospital, to prevent the development of clinically pronounced cases of healthcare-associated infections.ΠΠ° ΠΏΠΎΡΠ»Π΅Π΄Π½Π΅Π΅ Π΄Π΅ΡΡΡΠΈΠ»Π΅ΡΠΈΠ΅ Π² Π·Π΄ΡΠ°Π²ΠΎΠΎΡ
ΡΠ°Π½Π΅Π½ΠΈΠΈ Π ΠΎΡΡΠΈΠΉΡΠΊΠΎΠΉ Π€Π΅Π΄Π΅ΡΠ°ΡΠΈΠΈ ΠΏΡΠΎΠΈΠ·ΠΎΡΠ»ΠΈ ΠΏΡΠΎΠ³ΡΠ΅ΡΡΠΈΠ²Π½ΡΠ΅ ΠΈΠ·ΠΌΠ΅Π½Π΅Π½ΠΈΡ Π² ΡΠΈΡΡΠ΅ΠΌΠ΅ ΡΠΎΠ΄ΠΎΠ²ΡΠΏΠΎΠΌΠΎΠΆΠ΅Π½ΠΈΡ, ΠΊΠΎΡΠΎΡΡΠ΅ ΠΊΠ°ΡΠ°ΡΡΡΡ ΡΠ°Π·Π²ΠΈΡΠΈΡ ΠΈΠ½ΡΡΠ°ΡΡΡΡΠΊΡΡΡΡ ΠΈ Π²Π½Π΅Π΄ΡΠ΅Π½ΠΈΡ Π½ΠΎΠ²ΡΡ
ΠΎΡΠ³Π°Π½ΠΈΠ·Π°ΡΠΈΠΎΠ½Π½ΡΡ
ΠΌΠΎΠ΄Π΅Π»Π΅ΠΉ. Π ΡΠ°ΡΡΠ½ΠΎΡΡΠΈ, ΡΠΎΠ·Π΄Π°Π½Π° ΡΡΠ΅Ρ
ΡΡΠΎΠ²Π½Π΅Π²Π°Ρ ΡΠΈΡΡΠ΅ΠΌΠ° ΠΎΠΊΠ°Π·Π°Π½ΠΈΡ ΠΌΠ΅Π΄ΠΈΡΠΈΠ½ΡΠΊΠΎΠΉ ΠΏΠΎΠΌΠΎΡΠΈ ΠΌΠ°ΡΠ΅ΡΠΈ ΠΈ ΡΠ΅Π±Π΅Π½ΠΊΡ, Π²ΠΊΠ»ΡΡΠ°ΡΡΠ°Ρ ΡΠ΅ΡΡ ΠΏΠ΅ΡΠΈΠ½Π°ΡΠ°Π»ΡΠ½ΡΡ
ΡΠ΅Π½ΡΡΠΎΠ². ΠΡΠ΅Π·Π΄Π½ΡΠ΅ ΠΌΠ΅ΡΠΎΠΏΡΠΈΡΡΠΈΡ ΡΠΏΠ΅ΡΠΈΠ°Π»ΠΈΡΡΠΎΠ² Π€ΠΠΠ£ ΠΠΠΠ¦ ΠΠΠ ΠΈΠΌ. Π.Π. ΠΡΠ»Π°ΠΊΠΎΠ²Π° ΠΠΈΠ½Π·Π΄ΡΠ°Π²Π° Π ΠΎΡΡΠΈΠΈ Π² ΠΌΠ΅Π΄ΠΈΡΠΈΠ½ΡΠΊΠΈΠ΅ ΠΎΡΠ³Π°Π½ΠΈΠ·Π°ΡΠΈΠΈ ΡΠΎΠ΄ΠΎΠ²ΡΠΏΠΎΠΌΠΎΠΆΠ΅Π½ΠΈΡ ΡΠ°Π·Π»ΠΈΡΠ½ΡΡ
ΡΠ΅Π³ΠΈΠΎΠ½ΠΎΠ² Π ΠΎΡΡΠΈΠΈ Π²ΡΡΠ²ΠΈΠ»ΠΈ Π³ΠΎΡΡΡΠΈΠ΅ ΡΠΎΡΠΊΠΈ, ΡΡΠ΅Π±ΡΡΡΠΈΠ΅ ΠΏΠ΅ΡΠ²ΠΎΡΡΠ΅ΠΏΠ΅Π½Π½ΠΎΠ³ΠΎ Π²Π½ΠΈΠΌΠ°Π½ΠΈΡ, ΡΠ°ΠΊΠΈΠ΅ ΠΊΠ°ΠΊ: ΠΎΡΡΡΠ°Ρ Π½Π΅Ρ
Π²Π°ΡΠΊΠ° ΠΊΠ°Π΄ΡΠΎΠ² Π΄Π»Ρ ΠΎΡΡΡΠ΅ΡΡΠ²Π»Π΅Π½ΠΈΡ Π΄ΠΈΠ°Π³Π½ΠΎΡΡΠΈΡΠ΅ΡΠΊΠΈΡ
ΠΈ Π»Π΅ΡΠ΅Π±Π½ΡΡ
ΠΌΠ΅ΡΠΎΠΏΡΠΈΡΡΠΈΠΉ Π½Π° ΡΠΎΠ²ΡΠ΅ΠΌΠ΅Π½Π½ΠΎΠΌ ΠΌΠ΅ΡΠΎΠ΄ΠΈΡΠ΅ΡΠΊΠΎΠΌ ΡΡΠΎΠ²Π½Π΅, Π° ΡΠ°ΠΊΠΆΠ΅ Π΄Π»Ρ ΠΎΠ±Π΅ΡΠΏΠ΅ΡΠ΅Π½ΠΈΡ ΡΠΏΠΈΠ΄Π΅ΠΌΠΈΠΎΠ»ΠΎΠ³ΠΈΡΠ΅ΡΠΊΠΎΠΉ Π±Π΅Π·ΠΎΠΏΠ°ΡΠ½ΠΎΡΡΠΈ Π² ΠΌΠ΅Π΄ΠΈΡΠΈΠ½ΡΠΊΠΈΡ
ΠΎΡΠ³Π°Π½ΠΈΠ·Π°ΡΠΈΡΡ
(ΠΌΠ΅Π΄ΠΈΡΠΈΠ½ΡΠΊΠΈΠ΅ ΠΌΠΈΠΊΡΠΎΠ±ΠΈΠΎΠ»ΠΎΠ³ΠΈ (Π±Π°ΠΊΡΠ΅ΡΠΈΠΎΠ»ΠΎΠ³ΠΈ), ΠΊΠ»ΠΈΠ½ΠΈΡΠ΅ΡΠΊΠΈΠ΅ ΡΠ°ΡΠΌΠ°ΠΊΠΎΠ»ΠΎΠ³ΠΈ ΠΈ ΡΠΏΠΈΠ΄Π΅ΠΌΠΈΠΎΠ»ΠΎΠ³ΠΈ); Π½Π΅Π΄ΠΎΡΡΠ΅Ρ ΡΠ΅Π³ΠΈΡΡΡΠ°ΡΠΈΠΈ ΠΈΠ½ΡΠ΅ΠΊΡΠΈΠΉ, ΡΠ²ΡΠ·Π°Π½Π½ΡΡ
Ρ ΠΎΠΊΠ°Π·Π°Π½ΠΈΠ΅ΠΌ ΠΌΠ΅Π΄ΠΈΡΠΈΠ½ΡΠΊΠΎΠΉ ΠΏΠΎΠΌΠΎΡΠΈ, ΡΡΠΎ ΠΎΠ±ΡΡΠ»ΠΎΠ²Π»Π΅Π½ΠΎ ΡΠ»ΠΎΠΆΠΈΠ²ΡΠΈΠΌΠΈΡΡ Π² ΡΡΡΠ°Π½Π΅ ΠΏΡΠ΅ΠΈΠΌΡΡΠ΅ΡΡΠ²Π΅Π½Π½ΠΎ ΠΊΠ°ΡΠ°ΡΠ΅Π»ΡΠ½ΡΠΌΠΈ ΠΌΠ΅ΡΠΎΠ΄Π°ΠΌΠΈ Π±ΠΎΡΡΠ±Ρ Ρ Π³ΠΎΡΠΏΠΈΡΠ°Π»ΡΠ½ΡΠΌΠΈ ΠΈΠ½ΡΠ΅ΠΊΡΠΈΡΠΌΠΈ. Π ΡΠΎΠ²ΡΠ΅ΠΌΠ΅Π½Π½ΡΡ
ΡΡΠ»ΠΎΠ²ΠΈΡΡ
Π²ΡΡ
Π°ΠΆΠΈΠ²Π°Π½ΠΈΡ Π½Π΅Π΄ΠΎΠ½ΠΎΡΠ΅Π½Π½ΡΡ
Π΄Π΅ΡΠ΅ΠΉ, Π½ΠΎΠ²ΠΎΡΠΎΠΆΠ΄Π΅Π½Π½ΡΡ
Ρ ΡΠ°Π·Π»ΠΈΡΠ½ΡΠΌΠΈ ΡΡΠΆΠ΅Π»ΡΠΌΠΈ ΡΠΎΠΌΠ°ΡΠΈΡΠ΅ΡΠΊΠΈΠΌΠΈ ΠΈ Ρ
ΠΈΡΡΡΠ³ΠΈΡΠ΅ΡΠΊΠΈΠΌΠΈ ΠΏΠ°ΡΠΎΠ»ΠΎΠ³ΠΈΡΠΌΠΈ Π½Π΅ΠΎΠ±Ρ
ΠΎΠ΄ΠΈΠΌΠΎ Π·Π½Π°ΡΡ ΡΠ΅Π°Π»ΡΠ½ΡΠ΅ ΠΏΠΎΠΊΠ°Π·Π°ΡΠ΅Π»ΠΈ Π·Π°Π±ΠΎΠ»Π΅Π²Π°Π΅ΠΌΠΎΡΡΠΈ, ΡΡΠΎΠ±Ρ ΠΎΠ±ΠΎΡΠ½ΠΎΠ²Π°Π½Π½ΠΎ ΠΈ ΠΎΠΏΠ΅ΡΠ°ΡΠΈΠ²Π½ΠΎ ΠΏΡΠΎΠ²ΠΎΠ΄ΠΈΡΡ Π»Π΅ΡΠ΅Π±Π½ΡΠ΅ ΠΈ ΠΏΡΠΎΡΠΈΠ»Π°ΠΊΡΠΈΡΠ΅ΡΠΊΠΈΠ΅ ΠΌΠ΅ΡΠΎΠΏΡΠΈΡΡΠΈΡ; Π½Π΅ΠΎΠ±Ρ
ΠΎΠ΄ΠΈΠΌΠΎΡΡΡ ΠΎΡΠ³Π°Π½ΠΈΠ·Π°ΡΠΈΠΈ ΡΠΎΠ²ΡΠ΅ΠΌΠ΅Π½Π½ΡΡ
ΠΌΠΈΠΊΡΠΎΠ±ΠΈΠΎΠ»ΠΎΠ³ΠΈΡΠ΅ΡΠΊΠΈΡ
Π»Π°Π±ΠΎΡΠ°ΡΠΎΡΠΈΠΉ Π² ΠΏΠ΅ΡΠΈΠ½Π°ΡΠ°Π»ΡΠ½ΡΡ
ΡΠ΅Π½ΡΡΠ°Ρ
Ρ Π½Π°Π»ΠΈΡΠΈΠ΅ΠΌ Π±ΡΡΡΡΡΡ
ΠΌΠ΅ΡΠΎΠ΄ΠΎΠ² Π΄ΠΈΠ°Π³Π½ΠΎΡΡΠΈΠΊΠΈ (ΠΏΡΠΎΡΠ΅ΠΎΠΌΠ½ΡΡ
ΠΈ ΠΌΠΎΠ»Π΅ΠΊΡΠ»ΡΡΠ½ΠΎ-Π³Π΅Π½Π΅ΡΠΈΡΠ΅ΡΠΊΠΈΡ
), ΠΏΠΎΠ·Π²ΠΎΠ»ΡΡΡΠΈΡ
Π²Π΅ΡΡΠΈ ΠΌΠΈΠΊΡΠΎΠ±ΠΈΠΎΠ»ΠΎΠ³ΠΈΡΠ΅ΡΠΊΠΈΠΉ ΠΌΠΎΠ½ΠΈΡΠΎΡΠΈΠ½Π³ Π² ΡΠΏΠ΅ΡΠΈΠ°Π»ΠΈΠ·ΠΈΡΠΎΠ²Π°Π½Π½ΡΡ
ΠΎΡΠ΄Π΅Π»Π΅Π½ΠΈΡΡ
Π½ΠΎΠ²ΠΎΡΠΎΠΆΠ΄Π΅Π½Π½ΡΡ
ΠΈ ΠΎΠΏΠ΅ΡΠ°ΡΠΈΠ²Π½ΠΎ ΡΠ΅Π°Π³ΠΈΡΠΎΠ²Π°ΡΡ Π½Π° ΠΈΠ·ΠΌΠ΅Π½Π΅Π½ΠΈΡ ΡΠΏΠΈΠ΄Π΅ΠΌΠΈΠΎΠ»ΠΎΠ³ΠΈΡΠ΅ΡΠΊΠΎΠΉ ΡΠΈΡΡΠ°ΡΠΈΠΈ Π² ΡΡΠ°ΡΠΈΠΎΠ½Π°ΡΠ΅, ΠΏΡΠ΅Π΄ΠΎΡΠ²ΡΠ°ΡΠ°ΡΡ ΡΠ°Π·Π²ΠΈΡΠΈΠ΅ ΠΊΠ»ΠΈΠ½ΠΈΡΠ΅ΡΠΊΠΈ Π²ΡΡΠ°ΠΆΠ΅Π½Π½ΡΡ
ΡΠ»ΡΡΠ°Π΅Π² ΠΈΠ½ΡΠ΅ΠΊΡΠΈΠΉ, ΡΠ²ΡΠ·Π°Π½Π½ΡΡ
Ρ ΠΎΠΊΠ°Π·Π°Π½ΠΈΠ΅ΠΌ ΠΌΠ΅Π΄ΠΈΡΠΈΠ½ΡΠΊΠΎΠΉ ΠΏΠΎΠΌΠΎΡΠΈ
Macrophage Modification Strategies for Efficient Cell Therapy
Macrophages, important cells of innate immunity, are known for their phagocytic activity, capability for antigen presentation, and flexible phenotypes. Macrophages are found in all tissues and therefore represent an attractive therapeutic target for the treatment of diseases of various etiology. Genetic programming of macrophages is an important issue of modern molecular and cellular medicine. The controllable activation of macrophages towards desirable phenotypes in vivo and in vitro will provide effective treatments for a number of inflammatory and proliferative diseases. This review is focused on the methods for specific alteration of gene expression in macrophages, including the controllable promotion of the desired M1 (pro-inflammatory) or M2 (anti-inflammatory) phenotypes in certain pathologies or model systems. Here we review the strategies of target selection, the methods of vector delivery, and the gene editing approaches used for modification of macrophages
Phenotypical and Functional Polymorphism of Liver Resident Macrophages
Liver diseases are one of the main causes of mortality. In this regard, the development of new ways of reparative processes stimulation is relevant. Macrophages play a leading role in the regulation of liver homeostasis in physiological conditions and in pathology. In this regard, the development of new liver treatment methods is impossible without taking into account this cell population. Resident macrophages of the liver, Kupffer cells, represent a unique cell population, first of all, due to their development. Most of the liver macrophages belong to the self-sustaining macrophage cell population, whose origin is not bone marrow. In addition, Kupffer cells are involved in such processes as regulation of hepatocyte proliferation and apoptosis, remodeling of the intercellular matrix, lipid metabolism, protective function, etc. Such a broad spectrum of liver macrophage functions indicates their high functional plasticity. The review summarizes recent data on the development, phenotypic and functional plasticity, and participation in the reparative processes of liver macrophages: resident macrophages (Kupffer cells) and bone marrow-derived macrophages
Regenerative medicine of pancreatic islets
The pancreas became one of the first objects of regenerative medicine, since other possibilities of dealing with the pancreatic endocrine insufficiency were clearly exhausted. The number of people living with diabetes mellitus is currently approaching half a billion, hence the crucial relevance of new methods to stimulate regeneration of the insulin-secreting Ξ²-cells of the islets of Langerhans. Natural restrictions on the islet regeneration are very tight; nevertheless, the islets are capable of physiological regeneration via Ξ²-cell self-replication, direct differentiation of multipotent progenitor cells and spontaneous Ξ±- to Ξ²- or Ξ΄- to Ξ²-cell conversion (trans-differentiation). The existing preclinical models of Ξ²-cell dysfunction or ablation (induced surgically, chemically or genetically) have significantly expanded our understanding of reparative regeneration of the islets and possible ways of its stimulation. The ultimate goal, sufficient level of functional activity of Ξ²-cells or their substitutes can be achieved by two prospective broad strategies: Ξ²-cell replacement and Ξ²-cell regeneration. The "regeneration"strategy aims to maintain a preserved population of Ξ²-cells through in situ exposure to biologically active substances that improve Ξ²-cell survival, replication and insulin secretion, or to evoke the intrinsic adaptive mechanisms triggering the spontaneous non-Ξ²- to Ξ²-cell conversion. The "replacement"strategy implies transplantation of Ξ²-cells (as non-disintegrated pancreatic material or isolated donor islets) or Ξ²-like cells obtained ex vivo from progenitors or mature somatic cells (for example, hepatocytes or Ξ±-cells) under the action of small-molecule inducers or by genetic modification. We believe that the huge volume of experimental and clinical studies will finally allow a safe and effective solution to a seemingly simple goal-restoration of the functionally active Ξ²-cells, the innermost hope of millions of people globally. Β©The Author(s) 2020
Functional deficit of sperm and fertility impairment in men with antisperm antibodies
Autoimmune reactions against the sperm cells play an ambiguous role in fertility impairment. The objective of this study was to characterize functional deficit of sperm conditioned by antisperm immune response in normozoospermic men. This was a multi-centric, cross-sectional, case-control study. The study subjects were 1060 infertile normozoospermic men and 107 fertile men. The main outcome measures were clinical examination, semen analysis including MAR test for antisperm antibodies (ASA), computer-aided sperm analysis, acrosome reaction (AR) detected with flow cytometry, DNA fragmentation measured with sperm chromatin dispersion, reactive oxygen species (ROS) assessed using the luminol-dependent chemiluminescence method. 2% of the fertile men had MAR-IgG β₯ 50%, but all subjects with MAR-IgG β€ 12% were outliers; 16% infertile men had MAR-IgG β₯ 50% (p< 0.0001). There was a direct correlation between the infertility duration and MAR-IgG (R= 0.3; p< 0.0001). The ASA-positive infertile men had AR disorders 2.1 times more frequently (p< 0.02), predominantly inductivity disorders. We found signs of hyperactivation proportionate to the ASA level (p< 0.001). DNA fragmentation was more highly expressed and was 1.6 and 1.3 times more frequent compared with the fertile and the ASA-negative patients, respectively (p< 0.001 and p< 0.05). We found signs of oxidative stress (OS): ROS generation by washed ASA-positive spermatozoa was 3.7 times higher than in the fertile men (p< 0.00001) and depended on the ASA levels (R = 0.5; p< 0.0001). The ASA correlation with ROS generation in native sperm was weak (R = 0.2; p< 0.001). We concluded that autoimmune reactions against spermatozoa are accompanied by a fertility decrease in normozoospermia. This results from AR and capacitation disorders and DNA fragmentation. The pathogenesis of sperm abnormalities in immune infertility is associated with the OS of spermatozoa. Β© 2015 Elsevier Ireland Ltd
Draft Genome Sequence of Lactobacillus gasseri Strain 2016
Different common factors contribute to the antagonistic properties of Lactobacillus gasseri toward various pathogens. However, there is strain-to-strain variation in the probiotic properties of this bacterium. The draft genome sequence of L. gasseri strain 2016 determined in this study will assist in understanding the genetic basis for such variation
Male fertility and varicocoele: Role of immune factors
The role of antisperm antibodies (ASA) in the aetiopathogenesis of varicocoele-related male infertility remains unclear. The objective of this study was to determine whether varicocoele is associated with antisperm immune response and whether this factor provides additional affect on male fertility. We performed a multicentral, prospective study that included the clinical examination of 1639 male subjects from infertile couples and 90 fertile men, the evaluation of the absolute and relative risks of immune infertility associated with varicocoele and the impact of the autoimmune response on the semen quality. The methods used were as follows: standard examination of seminal fluid according to WHO criteria; ASA detection in seminal fluid using mixed antiglobulin reaction (MAR) and direct flow cytometry; measurement of spontaneous and ionophore-induced acrosome reactions; oxidative stress evaluation with luminal-dependent chemiluminescence method and evaluation of DNA fragmentation by sperm chromatin dispersion. The prevalence of varicocoele-related immune infertility is about 15% and does not depend on the grade of vein dilatation both in primary and secondary fertility disorders. Varicocoele is not an immediate cause of autoimmune reactions against spermatozoa, but is a cofactor increasing ASA risk; the OR of immune infertility after a testicular trauma in varicocoele patients increases twofold. In varicocoele patients, the autoimmune antisperm reaction is accompanied by a more significant decrease in the semen quality (concentration and number of progressively motile and morphologically normal spermatozoa in the ejaculate), acrosome reaction disorders (presence of pre-term spontaneous and lack of induced reactions) and an increase in the proportion of spermatozoa with DNA fragmentation. These disorders correlate with the level of sperm oxidative stress; reactive oxygen species (ROS) production in ASA-positive varicocoele patients is 2.8 and 3.5 times higher than in ASA-negative varicocoele patients and fertile men respectively. We did not find correlation between the grade of spermatic cord vein dilatation and ROS production. Β© 2013 American Society of Andrology and European Academy of Andrology