The introduction of novel drugs into treatment must be accompanied by continuous phenotypic susceptibility testing and the analysis of genetic determinants of resistance.

Three new molecular approaches were developed to identify drug-resistant strains of Mycobacterium tuberculosis using biochips with oligonucleotides immobilized in polyacrylamide gel pads. These approaches are significantly faster than traditional bacteriological methods. All three approaches-hybridization, PCR, and ligase detection reaction-were designed to analyze an 81-bp fragment of the gene rpoB encoding the ␤-subunit of RNA polymerase, where most known mutations of rifampin resistance are located. The call set for hybridization analysis consisted of 42 immobilized oligonucleotides and enabled us to identify 30 mutant variants of the rpoB gene within 24 h. These variants are found in 95% of all mutants whose rifampin resistance is caused by mutations in the 81-bp fragment. Using the second approach, allele-specific on-chip PCR, it was possible to directly identify mutations in clinical samples within 1.5 h. The third approach, on-chip ligase detection reaction, was sensitive enough to reveal rifampin-resistant strains in a model mixture containing 1% of resistant and 99% of susceptible bacteria. This level of sensitivity is comparable to that from the determination of M. tuberculosis drug resistance by using standard bacteriological tests.

A molecular approach was developed to identify drug-resistant strains of Mycobacterium tuberculosis by means of biochips with oligonucleotides immobilised in polyacrylamide gel pads. The technique was based on multiplex PCR, followed by hybridisation on an oligonucleotide microarray, and detected > 95% of rifampicin-resistant and c. 80% of isoniazid-resistant M. tuberculosis isolates within 12 h. In total, 220 drug-resistant isolates and 131 clinical samples were tested using biochips. The sensitivity and specificity of the developed method were comparable with those of standard bacteriological testing of M. tuberculosis drug resistance.

BackgroundThe widespread distribution of Neisseria gonorrhoeae strains that are resistant to previously used and clinically implemented antibiotics is a significant global public health problem. In line with WHO standards, the national Gonococcal Antimicrobial Surveillance Programme (RU-GASP) has been in existence in Russia since 2004; herein, the current status (2015) is described, including associations between N. gonorrhoeae antimicrobial susceptibility, primary genetic resistance determinants and specific strain sequence types.MethodsA total of 124 N. gonorrhoeae strains obtained from 9 regions in Russia in 2015 were examined using N. gonorrhoeae Multi-Antigen Sequence Typing (NG-MAST), an antimicrobial susceptibility test according to European Committee on Antimicrobial Susceptibility Testing (EUCAST) criteria and an oligonucleotide microarray for the identification of mutations in the penA, ponA, rpsJ, gyrA and parC genes responsible for penicillin G, tetracycline, and fluoroquinolone resistance. Genogroup (G) isolates were evaluated based on their porB and tbpB sequence types (STs).ResultsNG-MAST analysis showed a diversified population of N. gonorrhoeae in Russia with 58 sequence types, 35 of which were described for the first time. The STs 807, 1544, 1993, 5714, 9476 and 12531, which were typical for some Russian Federation regions and several countries of the former Soviet Union, were represented by five or more isolates. The internationally widespread ST 1407 was represented by a single strain in the present study. Division into genogroups facilitated an exploration of the associations between N. gonorrhoeae sequence type, antimicrobial resistance spectra and genetic resistance determinant contents. Preliminarily susceptible (G-807, G-12531) and resistant (G-5714, G-9476) genogroups were revealed. The variability in the most frequently observed STs and genogroups in each participating region indicated geographically restricted antimicrobial susceptibility in N. gonorrhoeae populations.ConclusionsResistance or intermediate susceptibility to previously recommended antimicrobials, such as penicillin G (60.5 %), ciprofloxacin (41.1 %) and tetracycline (25 %), is common in the N. gonorrhoeae population. Based on previous reports and current data, ceftriaxone and spectinomycin should be recommended for first-line empiric antimicrobial monotherapy for gonorrhoea in Russia.Electronic supplementary materialThe online version of this article (doi:10.1186/s12879-016-1688-7) contains supplementary material, which is available to authorized users.

We describe a novel microarray-based approach for simultaneous identification and quantification of human immunodeficiency virus type 1 (HIV-1) and hepatitis B and C viruses (HBV and HCV) in donor plasma specimens. The method is based on multiplex real-time RT-PCR performed within the microarray hydrogel pads. Double-stranded amplification products are simultaneously detected using nonspecific SYBR Green I dye due to the reaction run in separate pads bearing 5'-immobilized specific primers. Both the sensitivity and specificity of the assay, based on 132 blood specimens analyzed, were 100% (56, 26, and 8 specimens were seropositive to HBV HCV and HIV-1, respectively; 22 were positive to both HIV-1 and HCV and 2 positive to all three viruses; 18 samples were pathogen-negative). The dynamic range of the quantitative analysis covered a six-order interval ranging from 100 to 106 genome equivalents per assay. The 95% detection limits were 14 gEq for HIV-1, 10 gEq (1.7 IU) for HBV, and 15 gEq (7.5 IU) for HCV per assay. The proposed approach is considered to be versatile and could be adapted for simultaneous identification and quantification of numerous genetic targets.

The goal of this work was to study the phenotypic susceptibility and resistance determinants of N . gonorrhoeae isolates to beta-lactam antimicrobials (benzylpenicillin and ceftriaxone). A total of 522 clinical isolates collected in Russia in 2015–2017 were analysed for susceptibility using the agar dilution method. DNA loci involved in antimicrobial resistance were identified using DNA microarray analysis and sequencing. Resistance to benzylpenicillin remained high, with 7.7% of isolates resistant (MIC pen > 1 mg/L) and 47.5% of isolates showing intermediate susceptibility (MIC pen = 0.12–1 mg/L). The most frequent resistance determinant (72.4% isolates) was the Asp345 insertion in penA , both as a single mutation and in combination with other mutations, particularly with the substitution Leu421Pro in ponA (39.0%). Mutations affecting the influx and efflux of drugs were also found, including amino acid substitutions in PorB (26.8% isolates) and delA in the promoter region of mtrR (22.8%). The accumulation of mutations in chromosomal genes ( penA , pon , porA , and mtrR ) led to a stepwise increase in MIC pen to values characteristic of intermediate resistance. The presence of bla TEM plasmids was found in 25 isolates (4.8%), resulting in a strong increase in resistance to penicillin (MIC pen > 16 mg/L) compared with the chromosomal mutations; 23 plasmids were of the African type with TEM-1 beta-lactamase, and two plasmids were of the Toronto/Rio type with TEM-135 beta-lactamase. Only three isolates were found with reduced susceptibility to ceftriaxone, with MIC cef = 0.12–0.25 mg/L. Sequencing of penA did not reveal mutations associated with resistance to third-generation cephalosporins, and the gene structure was non-mosaic. The majority of isolates (21 of 25) carrying the bla TEM plasmid also contained the conjugative plasmid with tetM (resistance to tetracyclines), consistent with previously reported data that the presence of the conjugative plasmid facilitates the transfer of other plasmids associated with antimicrobial resistance.

We argue that the most-promising area of clinical application of microarrays in the foreseeable future is the diagnostics and monitoring of infectious diseases. Microarrays for the detection and characterization of human pathogens have already found their way into clinical practice in some countries. After discussing the persistent, yet often underestimated, importance of infectious diseases for public health, we consider the technologies that are best suited for the detection and clinical investigation of pathogens. Clinical application of microarray technologies for the detection of mycobacteria, Bacillus anthracis, HIV, hepatitis and influenza viruses, and other major pathogens, as well as the analysis of their drug-resistance patterns, illustrate our main thesis.

The diagnosis of autoimmune polyglandular syndrome (APS) types 1/2 is difficult due to their rarity and nonspecific clinical manifestations. APS-1 development can be identified with assays for autoantibodies against cytokines, and APS-2 development with organ-specific antibodies. In this study, a microarray-based multiplex assay was proposed for simultaneous detection of both organ-specific (anti-21-OH, anti-GAD-65, anti-IA2, anti-ICA, anti-TG, and anti-TPO) and APS-1-specific (anti-IFN-ω, anti-IFN-α-2a, and anti-IL-22) autoantibodies. Herein, 206 serum samples from adult patients with APS-1, APS-2, isolated autoimmune endocrine pathologies or non-autoimmune endocrine pathologies and from healthy donors were analyzed. The prevalence of autoantibodies differed among the groups of healthy donors and patients with non-, mono- and multi-endocrine diseases. APS-1 patients were characterized by the presence of at least two specific autoantibodies (specificity 99.5%, sensitivity 100%). Furthermore, in 16 of the 18 patients, the APS-1 assay revealed triple positivity for autoantibodies against IFN-ω, IFN-α-2a and IL-22 (specificity 100%, sensitivity 88.9%). No anti-cytokine autoantibodies were found in the group of patients with non-APS-1 polyendocrine autoimmunity. The accuracy of the microarray-based assay compared to ELISA for organ-specific autoantibodies was 88.8–97.6%. This multiplex assay can be part of the strategy for diagnosing and predicting the development of APS.