Multipotent mesenchymal stromal cells (MSCs) are considered to be critical contributors to injured tissue repair and regeneration, and MSC-based therapeutic approaches have been applied to many peripheral and central neurologic disorders. It has been demonstrated that the beneficial effects of MSC are mainly mediated by the components of their secretome. In the current study, we have explored the neuroprotective potential of the MSC secretome in a rat model of intracerebral hemorrhage and shown that a 10-fold concentrated secretome of human MSC and its combination with the brain-derived neurotrophic factor (BDNF) provided a better survival and neurological outcome of rats within 14 days of intracerebral hemorrhage compared to the negative (non-treated) and positive (BDNF) control groups. We found that it was due to the ability of MSC secretome to stimulate neuron survival under conditions of glutamate-induced neurotoxicity. However, the lesion volume did not shrink in these rats, and this also correlated with prominent microglia activation. We hypothesize that this could be caused by the species-specificity of the used MSC secretome and provide evidence to confirm this. Thus, we have found that allogenic rat MSC secretome was more effective than xenogenic human MSC secretome in the rat intracerebral hemorrhage model: it reduced the volume of the lesion and promoted excellent survival and neurological outcome of the treated rats.

During epidemics, the usual statistical approaches will not allow determining the readiness of the public health system to take urgent measures to counteract the increase in morbidity, spread and mortality of the population. The quality of the medical, socio-economic and managerial decisions at all levels will depend on the accuracy of statistical data and the possibility of creating adequate prognostic models. However, there are still problems with the identification of COVID-19 cases and the diagnostic accuracy of the methods used. Complex analytical efforts require in order to determine the COVID-19 impact on the health status and case fatality rate/mortality rate.

Angiogenesis is a process of new blood vessels formation. The role of angiogenesis in growth, invasion and metastasis of malignant tumours is nowdays universally recognized. Though, investigation of mechanisms of blood vessels formation and elaboration methods for assessment of tumour angiogenesis are still up-dated. Another important concern are different aspects of usage of immunohistochemical markers of blood vessels endothelium (CD31 and CD34) for assessment of tumour aggressiveness and prognosis. The problems of malignant lymphangiogenesis are also up-to-date. The focus is on methods of immunohistochemical visualization of forming lymphatic vessels, role of podoplanin, the most reliable marker of lymphatic vessels, in their identification, and formulization of the main criteria for lymphangiogenesis estimation, its correlation with metastatic activity and prognostic potential. Studying of angiogenesis and lymph angiogenesis in malignant tumors is important and challenging direction for researching tumour progression and invention of antiangiogenic therapy.

Automatic layers recognition of the wall of the stomach and colon on whole slide images is an extremely urgent task in digital pathology as it can be used for automatic determining the depth of invasion of the digestive tract tumors. In this paper we propose a new CNN-based method of automatic tissue type recognition on whole slide histological images. We also describe an effective pipeline of training that uses 2 different training datasets. The proposed method of automatic tissue type recognition achieved 0.929 accuracy and 0.903 balanced accuracy on CRC-VAL-HE-7K dataset for 9-types classification and 0.98 accuracy and 0.926 balanced accuracy on the test subset of whole slide images from PATH-DT- MSU dataset for 5-types classification. The developed method makes it possible to classify the areas corresponding to the gastric own mucous glands in the lamina propria and also to distinguish the tubular structures of a highly differentiated gastric adenocarcinoma with normal glands.

Intracerebral hemorrhage is an unmet medical need that often leads to the disability and death of a patient. The lack of effective treatments for intracerebral hemorrhage makes it necessary to look for them. Previously, in our proof-of-concept study (Karagyaur M et al. Pharmaceutics, 2021), we have shown that the secretome of multipotent mesenchymal stromal cells (MSC) provides neuroprotection of the brain in a model of intracerebral hemorrhage in rats. Here, we have conducted a systematic study of the therapeutic potential of the MSC secretome in the model of hemorrhagic stroke and provided answers to the questions that need to be addressed in order to translate the secretome-based drug into clinical practice: routes and multiplicity of administration, optimal dose and door-to-treatment time. We have found that MSC secretome reveals prominent neuroprotective activity when administered intranasally or intravenously within 1–3 h after hemorrhage modeling, even in aged rats, and its multiple injections (even within 48 h) are able to reduce the delayed negative effects of hemorrhagic stroke. To our knowledge, this study provides the first systematic investigation of the therapeutic activity of a biomedical MSC-based cell-free drug in intracerebral hemorrhage and is an integral part of its preclinical studies.

Evaluation of the frequency of microsatellite instability in gastric adenocarcinomas in patients of the Russian Federation, determination of the relationship of microsatellite instability with clinical and morphological characteristics and the impact on the prognosis. We used samples of surgical material from 310 patients with a verified diagnosis of gastric cancer. The age of the patients ranged from 22 to 85 years (mean 63 years). The median follow-up of patients was 83 months. Each sample was immunohistochemically stained with antibodies to microsatellite instability markers MLH1, MSH2, MSH6, and PMS2. The results were compared with the main clinical and morphological characteristics of gastric cancer and data on patient survival. The frequency of detection of MMR-negative tumors in the Russian population is 8.1% of all patients with gastric cancer. It was found that patients with MMR-negative gastric carcinomas are older (mean age 69 years, p=0.008). In this group predominates distal localization of tumors, type 2 according to R. Bormann classification (p=0.010), tubular histological type (p=0.010), intestinal subtype according to P. Lauren classification (p=0.003). There were no significant differences between MMR-negative and MMR-positive tumors in terms of other clinical and morphological parameters (including the stage of the tumor process). The overall median survival of patients with MMR-negative tumors was 76%, which significantly (p=0.013) exceeds that in the group of MMR-positive tumors (36%). It was found that despite significant differences in survival, MMR-status is not an significant prognostic factor in gastric cancer (HR=0.983). The established differences in patient survival make it possible to distinguish a group of MMR-negative tumors into a separate pathogenetic subtype of gastric cancer (MSI subtype) based on immunohistochemical studies. This subtype occurs predominantly in elderly patients with tubular gastric adenocarcinomas and is characterized by a favorable prognosis.