Prospects of using Securinega suffruticosa (Securinega suffruticosa (Pall.) Rehd.) as a dietary supplement for theprevention of occupation-caused polyneuropathy (literary review)

Abstract

Polyneuropathy is the syndrome of vibration disease, which occupies one of the leading places in the structure of occupational diseases in industrialized regions. Vibration impact on the body causes a change in neurohumoral control, functional parameters of the nervous system, leads to the development of tissue hypoxia and damage to the cells of various organs. The key direction in the elaboration of means for the prevention of these disorders is the search for new biologically active compounds with adaptogenic properties. Of particular interest as a medicinal raw material is suffruticous Securinega (Securinega suffruticosa (Pall.) Rehd.). In the extracts of this plant there were found following biologically active compounds: alkaloids, terpenoids, unsaturated styrenes, glycosides, saponins, phenolic compounds, flavonoids, etc. The most studied alkaloid, securinine, has a wide range of pharmacological activity: anticancer, antimicrobial, and stimulating effects on the central nervous system.
 The review describes the molecular and cellular mechanisms of the adaptogenic action of Securinega in various pathological conditions. In vitro and in vivo experiments extracts from Securinega suffruticosa (Pall.) Rehd. were shown to exhibit anti-inflammatory activity, improve cell metabolism, and have antioxidant properties. It has been established that Securinega can be a potential therapeutic agent for early atherosclerosis, for the treatment of neurodegenerative diseases associated with systemic neuroinflammatory processes. Continuing the study of the biological effect of the plant can become the base for its scientifically justified preventive use when workers are exposed to harmful production factors, including local and whole-body vibration. 
 The review was prepared using the MedLine, PubMed, Web of Science, Scopus, Google Scholar, CyberLeninka, and RSCI databases.