Introduction: The urgency of the issue is determined by the value of the stress impact of environmental conditions on workers of the operator personnel contingent, because the deterioration of their health and well-being is a factor in dangerous situations. However, the search for early diagnostic markers forming diseases, with a view to their prevention, is still a challenge. The aim was to establish the most important (among studied) pathogenetic factors of status of regulatory mechanisms of adaptation of individuals with a high level of psychoemotional load that is conditional upon profession.
Materials And Methods: The research is based on the results of the survey of transport operators (114 professional drivers of city passenger electrotransport) and 27 people who had high-level of mental and emotional load due to professional conditions.
Research Methods: general clinical; psychological (evaluation of psycho-emotional stability, level of anger, S. Muddy viability test , WHO well-being scale; Beck depression self-rating scale). laboratory (leukogram; cytochemical (the total amount of catecholamines blood; biochemical (cortisol saliva); instrumental (сardiointervalography); determination of the cellular adaptive responses; mathematic.
Results: The common data set survey was analyzed by factor analysis- 33 survey criteria, that showed status of health and pathogenic (emotional, behavioral, autonomic, neurohumoral, immune, and cellular) factors of regulatory mechanisms of adaptation of operators to conditions of high psycho-emotional stress. The results established that the main pathogenetic mechanisms of adaptation in drivers of passenger electric transport is possible to consider by four main factors: the integrated mechanisms of autonomic regulation with a predominance of trophotropic effects of parasympathetic; mobilizing influence of the sympathetic nervous system in regulatory mechanisms of adaptation and the level of centralization of heart rate control; state of regulation of systemic hemodynamics, mental health and level of depression for the current period.
Conclusion: By factor analysis the framework of indicators was formed and they can be considered as the expression of the major pathogenetic mechanisms of regulatory mechanisms of adaptation to conditions with a high level of emotional stress in drivers of passenger transport.
Department of Neurobiology, School of Basic Medicine, Tongji Medical College, Key Laboratory of Neurological Diseases of Hubei Province and National Education Ministry, Huazhong University of Science and Technology, Wuhan, 430030, China.
Background: Chronic inflammatory pain is a pervasive condition, and electroacupuncture (EA) is an effective treatment, but its mechanisms are not fully understood. AMP-activated protein kinase (AMPK), a key energy sensor, is involved in pain relief and EA's effects. EA may work by increasing endocannabinoids, upregulating CB2 receptors (CB2R), and stimulating β-endorphin (β-END).
Background: Abnormal expression of six-transmembrane epithelial antigen of prostate 4 (STEAP4) has been implicated in the carcinogenesis of hepatocellular carcinoma (HCC). However, the biological role and regulatory mechanisms of STEAP4 in HCC remain unclear.
Methods And Results: Here, we analyzed STEAP4 expression levels and differentially expressed genes (DEGs) between STEAP4 high- and low-expression groups using multiple databases.
Background: Accumulating studies have focused on long noncoding RNAs (lncRNAs) because of their regulatory effects on multiple cancers. However, the biological functions and molecular mechanisms of lncRNAs in gastric cancer (GC) remain to be elucidated in depth.
Methods: Long intergenic nonprotein coding RNA 1094 (LINC01094), a differentially expressed lncRNA between GC tissues and adjacent normal tissues, was identified.
Background: Periodontitis is among the most prevalent inflammatory conditions and greatly impacts oral health. This study aimed to elucidate the role of basement membrane-related genes in the pathogenesis and diagnosis of periodontitis.
Methods: GSE10334 was used for identification of hub genes via the differential analysis, protein-protein interaction network, MCC and DMNC algorithms, and evaluation via LASSO regression and support vector machine analysis to identify basement membrane-related markers in patients with periodontitis.
