Virus Diseases of Vegetable and Melon Crops in the South of the Russian Far East

Aim. The development of an inventory of phytoviruses affecting vegetable and melon crops in the South of the Russian Far East.Discussion. On the basis of many years of original research, carried out on a regular basis by the Laboratory of Virology (Federal Scientific Centre of East Asia Biodiversity, Far Eastern Branch, Russian Academy of Sciences) since 1962 as well as available data in the literature, information about the symptoms of diseases, circulation, reserve plants and vectors are presented for the alfalfa mosaic virus (Bromoviridae, Alfamovirus); tomato aspermy virus and cucumber mosaic virus (Bromoviridae, Cucumovirus); cauliflower mosaic virus (Caulimoviridae, Caulimovirus); garlic mosaic virus (Potyviridae, Carlavirus); tobacco etch virus, allium yellow dwarf virus, bean yellow mosaic virus, watermelon mosaic virus 2, turnip mosaic virus and bean common mosaic virus (Potyviridae, Potyvirus); radish mosaic virus (Picornavirales, Secoviridae, Comovirus); tobacco ringspot virus (Picornavirales, Secoviridae, Nepo-virus); cucumber green mottle mosaic virus, tobacco mosaic virus and tomato mosaic virus (Virgaviridae, Tobamovirus).Conclusion. The information presented forms the basis for the development of a set of diagnostic test systems for phytovirus diseases of vegetable and melon crops; a necessary element of activities directed to the improvement of food productivity and security of the Russian Federation in the Far East

Detection of Hepatitis C Virus Core Protein in Serum Using Aptamer-Functionalized AFM Chips

In the present study, we demonstrate atomic force microscopy (AFM)-based detection of hepatitis C virus (HCV) particles in serum samples using a chip with aptamer-functionalized surface (apta-based AFM chip). The target particles, containing core antigen of HCV (HCVcoreAg protein), were biospecifically captured onto the chip surface from 1 mL of test solution containing 10 µL of serum collected from a hepatitis C patient. The registration of aptamer/antigen complexes on the chip surface was performed by AFM. The aptamers used in the present study were initially developed for therapeutic purposes; herein, these aptamers have been successfully utilized as probe molecules for HCVcoreAg detection in the presence of a complex protein matrix (human serum). The results obtained herein can be used for the development of detection systems that employ affine enrichment for protein detection

A novel preliminary metabolomic panel for IHD diagnostics and pathogenesis

Abstract Cardiovascular disease (CVD) represents one of the main causes of mortality worldwide and nearly a half of it is related to ischemic heart disease (IHD). The article represents a comprehensive study on the diagnostics of IHD through the targeted metabolomic profiling and machine learning techniques. A total of 112 subjects were enrolled in the study, consisting of 76 IHD patients and 36 non-CVD subjects. Metabolomic profiling was conducted, involving the quantitative analysis of 87 endogenous metabolites in plasma. A novel regression method of age-adjustment correction of metabolomics data was developed. We identified 36 significantly changed metabolites which included increased cystathionine and dimethylglycine and the decreased ADMA and arginine. Tryptophan catabolism pathways showed significant alterations with increased levels of serotonin, intermediates of the kynurenine pathway and decreased intermediates of indole pathway. Amino acid profiles indicated elevated branched-chain amino acids and increased amino acid ratios. Short-chain acylcarnitines were reduced, while long-chain acylcarnitines were elevated. Based on these metabolites data, machine learning algorithms: logistic regression, support vector machine, decision trees, random forest, and gradient boosting, were used for IHD diagnostic models. Random forest demonstrated the highest accuracy with an AUC of 0.98. The metabolites Norepinephrine; Xanthurenic acid; Anthranilic acid; Serotonin; C6-DC; C14-OH; C16; C16-OH; GSG; Phenylalanine and Methionine were found to be significant and may serve as a novel preliminary panel for IHD diagnostics. Further studies are needed to confirm these findings