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 Найдено в других БД:Каталог книг и продолжающихся изданий (10)Труды Института высокотемпературной электрохимии УрО РАН (2)Труды Института истории и археологии УрО РАН (2)Труды сотрудников Института органического синтеза УрО РАН (6)Труды сотрудников Института теплофизики УрО РАН (4)Труды сотрудников Института химии твердого тела УрО РАН (3)Расплавы (2)Публикации Чарушина В.Н. (1)Каталог библиотеки ИЭРиЖ УрО РАН (6)Библиометрия (1)
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1.

Вид документа : Статья из журнала
Шифр издания : 61/Z 86
Автор(ы) : Zotova N. V., Chereshnev V. A., Gusev E. Yu.
Заглавие : Systemic inflammation: methodological approaches to identification of the common pathological process
Место публикации : PLOS One. - 2016. - Vol. 11, № 5. - С. P. e0155138
ББК : 61
Предметные рубрики: ЗДРАВООХРАНЕНИЕ. МЕДИЦИНСКИЕ НАУКИ
Ключевые слова (''Своб.индексиров.''): multi-syndrome--pathological process
Аннотация: We defined Systemic inflammation (SI) as a “typical, multi-syndrome, phase-specific pathological process, developing from systemic damage and characterized by the total inflammatory reactivity of endotheliocytes, plasma and blood cell factors, connective tissue and, at the final stage, by microcirculatory disorders in vital organs and tissues.” The goal of the work: to determine methodological approaches and particular methodical solutions for the problem of identification of SI as a common pathological process. SI can be defined by the presence in plasma of systemic proinflammatory cell stress products—cytokines and other inflammatory mediators, and also by the complexity of other processes signs. We have developed 2 scales: 1) The Reactivity Level scale (RL)–from 0 to 5 points: 0-normal level; RL-5 confirms systemic nature of inflammatory mediator release, and RL- 2–4 defines different degrees of event probability. 2) The SI scale, considering additional criteria along with RL, addresses more integral criteria of SI: the presence of ≥ 5 points according to the SI scale proves the high probability of SI developing. To calculate the RL scale, concentrations of 4 cytokines (IL-6, IL-8, IL-10, TNF-α) and C-reactive protein in plasma were examined. Additional criteria of the SI scale were the following: D-dimers500ng/ml, cortisol1380 or 100nmol/l, troponin I≥0.2ng/ml and/or myoglobin≥800ng/ml. 422 patients were included in the study with different septic (n-207) and aseptic (n-215) pathologies. In 190 cases (of 422) there were signs of SI (lethality 38.4%, n-73). In only 5 of 78 cases, lethality was not confirmed by the presence of SI. SI was registered in 100% of cases with septic shock (n-31). There were not significant differences between AU-ROC of CR, SI scale and SOFA to predict death in patients with sepsis and trauma.
\\\\expert2\\NBO\\PLoS ONE\\2016, v.11, p. e0155138pdf.pdf
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2.

Вид документа : Статья из журнала
Шифр издания :
Автор(ы) : Shinwari K., Rehman H., Xiao N., Liu G., Khan M. A., Bolkov M., Tuzankina I., Chereshnev V.
Заглавие : Novel high-risk missense mutations identification in FAT4 gene causing Hennekam syndrome and Van Maldergem syndrome 2 through molecular dynamics simulation
Место публикации : Informatics in Medicine Unlocked. - 2023. - Vol. 37. - Ст.101160 (14 pp.)
Предметные рубрики: ЗДРАВООХРАНЕНИЕ. МЕДИЦИНСКИЕ НАУКИ
Ключевые слова (''Своб.индексиров.''): hennekam syndrome--primary immunodeficiency--fat4 missense snp
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3.

Вид документа : Статья из журнала
Шифр издания : 61/I-34
Автор(ы) : Shinwari K., Chen Z., Liu Guojun, Chen L., Bolkov M. A., Tuzankina I. A., Chereshnev V. A.
Заглавие : Identification of the immune subtype among muscle-invasive bladder cancer patients by multiple datasets
Место публикации : Acta Medica Indonesiana. - 2022. - Vol. 54, № 1. - С. 62-71
ББК : 61
Предметные рубрики: ЗДРАВООХРАНЕНИЕ. МЕДИЦИНСКИЕ НАУКИ
Ключевые слова (''Своб.индексиров.''): molecular subtype--immunotherapy--mibc
Аннотация: Background: Immunotherapies including PD-1/PD-L1 antibodies have been approved for the treatment of Muscle-invasive Bladder Cancer (MIBC) patients. However, immunotherapies could only be beneficial for about 20% MIBC patients. Thus, identification of the immune subtype is becoming increasingly important. This study aimed to explore the immune subtype by analyzing the gene expression profiles. Methods: A total of 6 datasets including (GSE13507, GSE31684, GSE32548, GSE32894, GSE69795, and TCGA-BLCA) were downloaded. The gene expression profiles from different datasets were combined since the batch effects were removed. We performed unsupervised clustering analysis to identify the immune subtype by the combined gene expression profiles. The tumor-infiltration levels of 22 immune cells, immune scores, and tumor purity were calculated, and the survival analysis was performed to investigate the prognosis difference between immune subtypes. The enriched pathways for each immune subtype were obtained. Results: We identified four novel immune subtypes (referred to S1, S2, S3, and S4) among MIBC patients. We found that S1 was enriched in immune scores had the best prognosis. In contrast, S3 was poor in immune scores and had the worst prognosis. Subtype S1, S2, S3, and S4 were enriched in immune-related pathways, extracellular matrix-related pathways, metabolism-related pathways, and cancer-related pathways, respectively. Conclusion: The current study suggests that the immune subtypes based on gene expression profiles could contribute to select the appropriate MIBC patient for immunotherapies.
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