Differential Serodiagnostics of Latent Stages of Syphilis Based on Measuring IgG and IgM Levels towards Extended Panel of Recombinant Antigens of T. pallidum

Antibodies as Biosensors' Key Components: State-of-the-Art in Russia 2020-2021

The recognition of biomolecules is crucial in key areas such as the timely diagnosis of somatic and infectious diseases, food quality control, and environmental monitoring. This determines the need to develop highly sensitive display devices based on the achievements of modern science and technology, characterized by high selectivity, high speed, low cost, availability, and small size. Such requirements are met by biosensor systems—devices for reagent-free analysis of compounds that consist of a biologically sensitive element (receptor), a transducer, and a working solution. The diversity of biological material and methods for its immobilization on the surface or in the volume of the transducer and the use of nanotechnologies have led to the appearance of an avalanche-like number of different biosensors, which, depending on the type of biologically sensitive element, can be divided into three groups: enzyme, affinity, and cellular/tissue. Affinity biosensors are one of the rapidly developing areas in immunoassay, where the key point is to register the formation of an antigen–antibody complex. This review analyzes the latest work by Russian researchers concerning the production of molecules used in various immunoassay formats as well as new fundamental scientific data obtained as a result of their use.

Development and research of a model for differential diagnosis of latent late syphilis and false-positive serological reactions on immunochips with a panel of 12 Treponema pallidum antigens

The aim - to find the optimal attributing rules to distinguish groups of latent stages of syphilis and false positive serological tests of using multivariate discriminant analysis Material and methods. The objects of the study were serum samples from patients with late latent (N=34) syphilis and false positive serological tests (N=31). The samples were studied to determine IgG and IgM levels using indirect immunofluorescent reaction with immunochip containing recombinant antigens T. pallidum Results The mathematical model allows to differentiate with a high degree of confidence patients with late latent syphilis and with false-positive serological reactions to syphilis. Conclusions. . Multivariate discriminant analysis makes possible to create reliable mathematical models to classify patients with late latent syphilis and with false-positive serological reactions to syphilis.