Non-Hodgkin's lymphoma complicated with human coronavirus HKU1 pneumonia: A case report and literature review.

Objective: To analyze the clinical manifestations, diagnostic methods and treatment process of the patients with non-Hodgkin's lymphoma complicated with human coronavirus(HCoV)-HKU1 pneumonia and improve the clinical medical staff's awareness of the disease, and to reduce the occurrence of clinical adverse events. Method(s): The clinical data of a patient with non-Hodgkin's lymphoma complicated with HCoV-HKU1 pneumonia with hot flashes and night sweats, dry cough and dry throat as the main clinical features who were hospitalized in the hospital in January 2021 were analyzed, and the relevant literatures were reviewed and the clinical manifestations and diagnosis of HCoV-HKU1 were analyzed. Result(s): The female patient was admitted to the hospital due to diagnosed non-Hodgkin's lymphoma for more than 2 months. The physical examination results showed Karnofsky score was 90 points;there was no palpable enlargement of systemic superfical lymph nodes;mild tenderness in the right lower abdomen, no rebound tenderness, and slightly thicker breath sounds in both lungs were found, and a few moist rales were heard in both lower lungs. The chest CT results showed diffuse exudative foci in both lungs, and the number of white blood cells in the urine analysis was 158 muL-1;next generation sequencing technique(NGS) was used the detect the bronchoalveolar lavage fluid, and HCoV-HKU1 pneumonia was diagnosed. At admission, the patient had symptoms such as dull pain in the right lower abdomen, nighttime cough, and night sweats;antiviral treatment with oseltamivir was ineffective. After treatment with Compound Sulfamethoxazole Tablets and Lianhua Qingwen Granules, the respiratory symptoms of the patient disappeared. The re-examination chest CT results showed the exudation was absorbed. Conclusion(s): The clinical symptoms of the patients with non-Hodgkin's lymphoma complicated with HCoV-HKU1 pneumonia are non-specific. When the diffuse shadow changes in the lungs are found in clinic, and the new coronavirus nucleic acid test is negative, attention should still be paid to the possibility of other HCoV infections. The NGS can efficiently screen the infectious pathogens, which is beneficial to guide the diagnosis and treatment of pulmonary infectious diseases more accurately.Copyright © 2023 Jilin University Press. All rights reserved.

SARS-COV-2 Infection in Children and Young People in Bulgaria - A Prospective, Single-Center, Cohort Study

Compared to other respiratory viruses, the proportion of hospitalizations due to SARS-CoV-2 among children is relatively low. While severe illness is not common among children and young individuals, a particular type of severe condition called multisystem inflammatory syndrome in children (MIS-C) has been reported. The aim of this prospective cohort study, which followed a group of individuals under the age of 19, was to examine the characteristics of patients who had contracted SARS-CoV-2, including their coexisting medical conditions, clinical symptoms, laboratory findings, and outcomes. The study also aimed to investigate the features of children who met the WHO case definition of MIS-C, as well as those who required intensive care. A total of 270 patients were included between March 2020 and December 2021. The eligible criteria were individuals between 0-18 with a confirmed SARS-CoV-2 infection at the Infectious Disease Hospital "Prof. Ivan Kirov"in Sofia, Bulgaria. Nearly 76% of the patients were <= 12 years old. In our study, at least one comorbidity was reported in 28.1% of the cases, with obesity being the most common one (8.9%). Less than 5% of children were transferred to an intensive care unit. We observed a statistically significant difference in the age groups, with children between 5 and 12 years old having a higher likelihood of requiring intensive care compared to other age groups. The median values of PaO2 and SatO2 were higher among patients admitted to the standard ward, while the values of granulocytes and C-reactive protein were higher among those transferred to the intensive care unit. Additionally, we identified 26 children who met the WHO case definition for MIS-C. Our study data supports the evidence of milder COVID-19 in children and young individuals as compared to adults. Older age groups were associated with higher incidence of both MIS-C and ICU admissions.Copyright © 2023 P. Velikov et al., published by Sciendo.

Design of a cost-effective diagnosis tool for SARSCov-2 variant detection through a next generation sequencing (NGS) based strategy

Background/Objectives: Current pandemic situation, together with the continuous emergence of new SARS-CoV-2 variants reveal the need to develop a more versatile tool than PCR-based methods that allows both high throughput COVID-19 diagnostic and specific variant detection at reduced cost and fast turnaround times. Thus, with the aim of overcoming current test limitations and providing a strategy with these characteristics arises our novel next generation sequencing based approach. Method(s): The developed strategy works with RNA samples obtained from nasopharyngeal swabs. RNA samples are processed with our custom laboratory protocol and can be sequenced with any Illumina platform to generate results within a 24h timeframe. A tailored bioinformatic pipeline analyzes the data and generates a clinical-level report. Result(s): Clinical validation results have shown that the designed solution, sensitively and specifically identifies negative and positive samples that display a broad range in viral loads and readily identifies the following major SARS-CoV-2 variants of concern (VoC): Alpha, Beta, Gamma, Delta, Lambda and Omicron (BA.1 and BA.2). Conclusion(s): The versatility of our solution allows the capability of identifying the presence of other common respiratory viruses as well as identifying patients at risk through the identification of susceptibility human variants in the host. This, together with the possibility of easily adding new VoC as they emerge, will make VoC monitoring in entire populations feasible, providing a new perspective on the application of NGS methods in the field of clinical microbiology.

Smart microfluidics: Synergy of machine learning and microfluidics in the development of medical diagnostics for chronic and emerging infectious diseases

The COVID-19 pandemic, emerging/re-emerging infections as well as other non-communicable chronic diseases, highlight the necessity of smart microfluidic point-of-care diagnostic (POC) devices and systems in developing nations as risk factors for infections, severe disease manifestations and poor clinical outcomes are highly represented in these countries. These POC devices are also becoming vital as analytical procedures executable outside of conventional laboratory settings are seen as the future of healthcare delivery. Microfluidics have grown into a revolutionary system to miniaturize chemical and biological experimentation, including disease detection and diagnosis utilizing muPads/paper-based microfluidic devices, polymer-based microfluidic devices and 3-dimensional printed microfluidic devices. Through the development of droplet digital PCR, single-cell RNA sequencing, and next-generation sequencing, microfluidics in their analogous forms have been the leading contributor to the technical advancements in medicine. Microfluidics and machine-learning-based algorithms complement each other with the possibility of scientific exploration, induced by the framework's robustness, as preliminary studies have documented significant achievements in biomedicine, such as sorting, microencapsulation, and automated detection. Despite these milestones and potential applications, the complexity of microfluidic system design, fabrication, and operation has prevented widespread adoption. As previous studies focused on microfluidic devices that can handle molecular diagnostic procedures, researchers must integrate these components with other microsystem processes like data acquisition, data processing, power supply, fluid control, and sample pretreatment to overcome the barriers to smart microfluidic commercialization.Copyright © 2023 by Begell House, Inc.

SARS-CoV-2 sequencing: A comparison of highthroughput methods

Background/Objectives: The COVID-19 pandemic continues to threaten public health and burden healthcare systems worldwide. Whole SARS-CoV-2 genome sequencing has become essential for epidemiological monitoring and identification of new variants, which could represent a risk of increased transmissibility, virulence, or resistance to vaccines or treatment. In this study, we assess the performance of various target enrichment methods for whole SARS-CoV-2 sequencing. Method(s): We applied three target enrichment methods - two multiplex amplification methods and one hybridization capture - to the same set of nasopharyngeal patient samples (N = 93) in high-throughput mode. SARS-CoV-2 genome was obtained using short-read next-generation sequencing. Result(s): All three methods provided excellent breadth of coverage of SARS-CoV-2 genome (above 99%), albeit with vastly different sequencing depth (5-fold difference) and uniformity of coverage (20% difference in coefficient of variation). Poor local coverage has negative impact on variant calling in the concerned region, leading to an occasional allele drop-out (1.2% SNPs affected for one method). Conclusion(s): We discuss the performance of each target enrichment method and their potential for scaling up, in order to promote prospective programs of large-scale genomic surveillance of SARS-CoV-2 worldwide. Genomic surveillance will be crucial to overcoming the ongoing pandemic of COVID-19, despite its successive waves and continually emerging variants.

Animal Pre-Clinical Study of an Inactivated SARS-CoV-2 Vaccine candidate (Osvid-19 ): Immunogenicity, Protective, and Safety Aspects

Background: This study aimed to evaluate the outcomes of preclinical studies on the safety and immunogenicity of an inactivated COVID-19 vaccine candidate to warrant further clinical evaluation. Method(s): SARS-CoV-2 positive nasopharyngeal swab specimens were confirmed by real-time polymerase chain reaction and next-generation sequencing. The safety and immunogenicity tests of the COVID-19 vaccine were carried out in rats and Rhesus monkeys, and Balb/C mice and Rhesus monkeys, respectively. Result(s): The candidate vaccine was well tolerated and induced promising levels of SARS-CoV-2- specific IgG1, IgG2a, and Granzyme B in Balb/C mice, and anti-SARS-CoV-2 spike IgG and neutralizing antibodies in Rhesus monkeys. Based on cVNT results, the inactivated vaccine in 0.5 and 1 microg/100 microL doses was able to induce a neutralizing effect against the SARS-CoV-2 virus up to a dilution of 1:512 and 1:1000. The protective efficacy of the vaccine candidate was challenged with 2 x108 PFU of live viruses and confirmed by lung CT scan and histopathological evaluations compared to the control group. Repeated intramuscular injection of the candidate vaccine was generally well-tolerated in Rats and Rhesuses. No significant side effects were observed in rats injected with ten full human doses and in the Rhesus monkeys with three full human doses. Conclusion(s): Based on the findings presented in this study, it is recommended that this vaccine be moved into human testing commencing with a phase I clinical trial.Copyright © 2021 Muslim OT et al.

COVID-19: Using high-throughput flow cytometry to dissect clinical heterogeneity.

Here we consider how high-content flow cytometric methodology at appropriate scale and throughput rapidly provided meaningful biological data in our recent studies of COVID-19, which we discuss in the context of other similar investigations. In our work, high-throughput flow cytometry was instrumental to identify a consensus immune signature in COVID-19 patients, and to investigate the impact of SARS-CoV-2 exposure on patients with either solid or hematological cancers. We provide here some examples of our 'holistic' approach, in which flow cytometry data generated by lymphocyte and myelomonocyte panels were integrated with other analytical metrics, including SARS-CoV-2-specific serum antibody titers, plasma cytokine/chemokine levels, and in-depth clinical annotation. We report how selective differences between T cell subsets were revealed by a newly described flow cytometric TDS assay to distinguish actively cycling T cells in the peripheral blood. By such approaches, our and others' high-content flow cytometry studies collectively identified overt abnormalities and subtle but critical changes that discriminate the immuno-signature of COVID-19 patients from those of healthy donors and patients with non-COVID respiratory infections. Thereby, these studies offered several meaningful biomarkers of COVID-19 severity that have the potential to improve the management of patients and of hospital resources. In sum, flow cytometry provides an important means for rapidly obtaining data that can guide clinical decision-making without requiring highly expensive, sophisticated equipment, and/or "-omics" capabilities. We consider how this approach might be further developed.

Discovery of Peptidic Ligands against the SARS-CoV-2 Spike Protein and Their Use in the Development of a Highly Sensitive Personal Use Colorimetric COVID-19 Biosensor.

In addition to efficacious vaccines and antiviral therapeutics, reliable and flexible in-home personal use diagnostics for the detection of viral antigens are needed for effective control of the COVID-19 pandemic. Despite the approval of several PCR-based and affinity-based in-home COVID-19 testing kits, many of them suffer from problems such as a high false-negative rate, long waiting time, and short storage period. Using the enabling one-bead-one-compound (OBOC) combinatorial technology, several peptidic ligands with a nanomolar binding affinity toward the SARS-CoV-2 spike protein (S-protein) were successfully discovered. Taking advantage of the high surface area of porous nanofibers, immobilization of these ligands on nanofibrous membranes allows the development of personal use sensors that can achieve low nanomolar sensitivity in the detection of the S-protein in saliva. This simple biosensor employing naked-eye reading exhibits detection sensitivity comparable to some of the current FDA-approved home detection kits. Furthermore, the ligand used in the biosensor was found to detect the S-protein derived from both the original strain and the Delta variant. The workflow reported here may enable us to rapidly respond to the development of home-based biosensors against future viral outbreaks.

Fast proteomics with dia-PASEF and analytical flow-rate chromatography.

Increased throughput in proteomic experiments can improve accessibility of proteomic platforms, reduce costs, and facilitate new approaches in systems biology and biomedical research. Here we propose combination of analytical flow rate chromatography with ion mobility separation of peptide ions, data-independent acquisition, and data analysis with the DIA-NN software suite, to achieve high-quality proteomic experiments from limited sample amounts, at a throughput of up to 400 samples per day. For instance, when benchmarking our workflow using a 500-µL/min flow rate and 3-min chromatographic gradients, we report the quantification of 5211 proteins from 2 µg of a mammalian cell-line standard at high quantitative accuracy and precision. We further used this platform to analyze blood plasma samples from a cohort of COVID-19 inpatients, using a 3-min chromatographic gradient and alternating column regeneration on a dual pump system. The method delivered a comprehensive view of the COVID-19 plasma proteome, allowing classification of the patients according to disease severity and revealing plasma biomarker candidates.

In Silico Structure-Based Vaccine Design.

Structure-based vaccine design (SBVD) is an important technique in computational vaccine design that uses structural information on a targeted protein to design novel vaccine candidates. This increasing ability to rapidly model structural information on proteins and antibodies has provided the scientific community with many new vaccine targets and novel opportunities for future vaccine discovery. This chapter provides a comprehensive overview of the status of in silico SBVD and discusses the current challenges and limitations. Key strategies in the field of SBVD are exemplified by a case study on design of COVID-19 vaccines targeting SARS-CoV-2 spike protein.

Natural Product-Based Screening for Lead Compounds Targeting SARS CoV-2 Mpro.

Drugs that cure COVID-19 have been marketed; however, this disease continues to ravage the world without becoming extinct, and thus, drug discoveries are still relevant. Since Mpro has known advantages as a drug target, such as the conserved nature of the active site and the absence of homologous proteins in the body, it receives the attention of many researchers. Meanwhile, the role of traditional Chinese medicine (TCM) in the control of epidemics in China has also led to a focus on natural products, with the hope of finding some promising lead molecules through screening. In this study, we selected a commercial library of 2526 natural products from plants, animals and microorganisms with known biological activity for drug discovery, which had previously been reported for compound screening of the SARS CoV-2 S protein, but had not been tested on Mpro. This library contains compounds from a variety of Chinese herbs, including Lonicerae Japonicae Flos, Forsythiae Fructus and Scutellariae Radix, which are derived from traditional Chinese medicine prescriptions that have been shown to be effective against COVID-19. We used the conventional FRET method for the initial screening. After two rounds of selection, the remaining 86 compounds were divided into flavonoids, lipids, phenylpropanoids, phenols, quinones, alkaloids, terpenoids and steroids according to the skeleton structures, with inhibition rates greater than 70%. The top compounds in each group were selected to test the effective concentration ranges; the IC50 values were as follows: (-)-gallocatechin gallate (1.522 ± 0.126 µM), ginkgolic acid C15:1 (9.352 ± 0.531 µM), hematoxylin (1.025 ± 0.042 µM), fraxetin (2.486 ± 0.178 µM), wedelolactone (1.003 ± 0.238 µM), hydroxytyrosol acetate (3.850 ± 0.576 µM), vanitiolide (2.837 ± 0.225 µM), ß,ß-dimethylacrylalkannin (2.731 ± 0.308 µM), melanin (7.373 ± 0.368 µM) and cholesteryl sodium sulfate (2.741 ± 0.234µM). In the next step, we employed two biophysical techniques, SPR and nanoDSF, to obtain KD/Kobs values: hematoxylin (0.7 µM), (-)-gallocatechin gallate (126 µM), ginkgolic acid C15:1 (227 µM), wedelolactone (0.9770 µM), ß,ß-dimethylacrylalkannin (1.9004 µM,), cholesteryl sodium sulfate (7.5950 µM) and melanin (11.5667 µM), which allowed better assessments of the binding levels. Here, seven compounds were the winners. Then, molecular docking experiments were specially performed by AutoDock Vina to analyze the mode of interactions within Mpro and ligands. We finally formulated the present in silico study to predict pharmacokinetic parameters as well as drug-like properties, which is presumably the step that tells humans whether the compounds are drug-like or not. Moreover, hematoxylin, melanin, wedelolactone, ß,ß-dimethylacrylalkannin and cholesteryl sodium sulfate are in full compliance with the "Lipinski" principle and possess reasonable ADME/T properties, they have a greater potential of being lead compounds. The proposed five compounds are also the first to be found to have potential inhibitory effects on SARS CoV-2 Mpro. We hope that the results in this manuscript may serve as benchmarks for the above potentials.

High-throughput microbead assay system with a portable, cost-effective Wi-Fi imaging module, and disposable multi-layered microfluidic cartridges for virus and microparticle detection, and tracking.

In recent years biomedical scientific community has been working towards the development of high-throughput devices that allow a reliable, rapid and parallel detection of several strains of virus or microparticles simultaneously. One of the complexities of this problem lies on the rapid prototyping of new devices and wireless rapid detection of small particles and virus alike. By reducing the complexity of microfluidics microfabrication and using economic materials along with makerspace tools (Kundu et al. 2018) it is possible to provide an affordable solution to both the problems of high-throughput devices and detection technologies. We present the development of a wireless, standalone device and disposable microfluidics chips that rapidly generate parallel readouts for selected, possible virus variants from a nasal or saliva sample, based on motorized and non-motorized microbeads detection, and imaging processing of the motion tracks of these beads in micrometers. Microbeads and SARS-CoV-2 COVID-19 Delta variant were tested as proof-of-concept for testing the microfluidic cartridges and wireless imaging module. The Microbead Assay (MA) system kit consists of a Wi-Fi readout module, a microfluidic chip, and a sample collection/processing sub-system. Here, we focus on the fabrication and characterization of the microfluidic chip to multiplex various micrometer-sized beads for economic, disposable, and simultaneous detection of up to six different viruses, microparticles or variants in a single test, and data collection using a commercially available, Wi-Fi-capable, and camera integrated device (Fig. 1).

SARS-CoV-2 mRNA vaccination elicits robust antibody responses in children

Although children have been largely spared from coronavirus disease 2019 (COVID-19), the emergence of severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2) variants of concern (VOCs) with increased transmissibility, combined with fluctuating mask mandates and school reopenings, has led to increased infections and disease among children. Thus, there is an urgent need to roll out COVID-19 vaccines to children of all ages. However, whether children respond equivalently to adults to mRNA vaccines and whether dosing will elicit optimal immunity remain unclear. Here, we aimed to deeply profile the vaccine-induced humoral immune response in 6-to 11-year-old children receiving either a pediatric (50 mu g) or adult (100 mu g) dose of the mRNA-1273 vaccine and to compare these responses to vaccinated adults, infected children, and children who experienced multisystem inflammatory syndrome in children (MIS-C). Children elicited an IgG-dominant vaccine-induced immune response, surpassing adults at a matched 100-mu g dose but more variable immunity at a 50-mu g dose. Irrespective of titer, children generated antibodies with enhanced Fc receptor binding capacity. Moreover, like adults, children generated cross-VOC humoral immunity, marked by a decline of omicron-specific receptor binding domain, but robustly preserved omicron spike protein binding. Fc receptor binding capabilities were also preserved in a dose-dependent manner. These data indicate that both the 50-and 100-mu g doses of mRNA vaccination in children elicit robust cross-VOC antibody responses and that 100-mu g doses in children result in highly preserved omicron-specific functional humoral immunity.

Identification of small molecules capable of enhancing viral membrane fusion.

Several approaches have been developed to analyze the entry of highly pathogenic viruses. In this study, we report the implementation of a Bimolecular Multicellular Complementation (BiMuC) assay to safely and efficiently monitor SARS-CoV-2 S-mediated membrane fusion without the need for microscopy-based equipment. Using BiMuC, we screened a library of approved drugs and identified compounds that enhance S protein-mediated cell-cell membrane fusion. Among them, ethynylestradiol promotes the growth of SARS-CoV-2 and Influenza A virus in vitro. Our findings demonstrate the potential of BiMuC for identifying small molecules that modulate the life cycle of enveloped viruses, including SARS-CoV-2.

Development and authentication of Panax ginseng cv. Sunhong with high yield and multiple tolerance to heat damage, rusty roots and lodging.

Ginseng (Panax ginseng) has been used as a valuable medicinal plant in Asia, and the demand for ginseng production for health functional food is increasing worldwide after the COVID-19 crisis. Although a number of cultivars have been developed to increase ginseng production, none of them were widely cultivated in Korea because they could not resist various environmental stresses while being grown in one place for at least 4 years. To address this, Sunhong was developed as a ginseng cultivar with high yield and multiple stress tolerance by pure line selection. Sunhong showed high yield and heat tolerance comparable to Yunpoong, a representative high-yielding cultivar, and exhibited 1.4 times lower prevalence of rusty roots than Yunpoong, suggesting that Sunhong can keep its high yield and quality during long-term cultivation. In addition, distinct color and lodging resistance were expected to increase the convenience of cultivation. To supply pure seeds to farmers, we also established a reliable high-throughput authentication system for Sunhong and seven ginseng cultivars through genotyping-by-sequencing (GBS) analysis. The GBS approach enabled to identify a sufficient number of informative SNPs in ginseng, a heterozygous and polyploid species. These results contribute to the improvement of yield, quality, and homogeneity, and therefore promote the ginseng industry. Supplementary Information: The online version contains supplementary material available at 10.1007/s13580-023-00526-x.

Loss of Bifidobacteria in Lyme Disease: Cause or Effect

Introduction: Lyme disease is a poorly understood condition which starts with a rash but may continue with chronic fatigue and neurological symptoms. Approximately 1 in 5 early Lyme disease patients have GI symptoms, such as nausea, anorexia, abdominal pain, or diarrhea. Lyme disease is thought to be cased by microbes in the spirochetes phylum transmitted by black legged ticks. Lyme-related healthcare costs in America exceed 1.3 billion dollars annually. Bifidobacteria are known for their beneficial probiotic actions within the human gut microbiome. Their numbers are reduced in severe COVID-19, Clostridioides difficile infection and Inflammatory Bowel Disease. To our knowledge Bifidobacteria levels have not been studied in Lyme disease patients. Given the importance of Bifidobacterium abundance in other diseases, we focused on relative abundance of Bifidobacterium in fecal samples of patients with Lyme disease compared to controls. Method(s): Fecal samples were assessed for relative abundance of Bifidobacterium in Healthy Control subjects without Lyme disease (n=20) compared to patients with Lyme disease (n=39). The average symptom duration in patients with Lyme disease was 5 years and none were on antibiotics 2 weeks prior to sample collection (range of symptoms from 1 month to 20 years, all treated initially with antibiotics).Metagenomics Next Generation sequencing was performed on fecal samples, where DNA samples were extracted and normalized for library downstream analysis using Shotgun Methodology. Mann- Whitney Statistical test was used for comparison. This study was IRB approved. Result(s): Relative Abundance of bifidobacteria was significantly decreased (p< 0.0001) in patients with Lyme disease. Median and interquartile range (IQR) were: Control (Median:4.175%;IQR:1.72-10.27%) and Lyme disease (Median:0.0014%;IQR:0.00%-0.96%)(Figure). 30/39 Lyme disease patients (77%) were found to possess < 1% relative abundance of Bifidobacterium in their stool sample. Of interest only 1/39 samples showed presence of Spirochetes in stool samples. Conclusion(s): This is the first study that demonstrates low levels of Bifidobacteria in patients with chronic Lyme disease. These results raise three questions;whether the disease was caused by 1. the original microbe creating loss of Bifidobacterium 2. baseline low Bifidobacteria due likely to either diet or medications or 3. excessive treatment. Given Lyme disease comprises a gut dysbiosis issue, therapies should also aim at restoration of depleted Bifidobacteria. (Figure Presented).

Molecular genetics and genomics of the ABO blood group system

The A and B oligosaccharide antigens of the ABO blood group system are produced from the common precursor, H substance, by enzymatic reactions catalyzed by A and B glycosyltransferases (AT and BT) encoded by functional A and B alleles at the ABO genetic locus, respectively. In 1990, my research team cloned human A, B, and O allelic cDNAs. We then demonstrated this central dogma of ABO and opened a new era of molecular genetics. We identified four amino acid substitutions between AT and BT and inactivating mutations in the O alleles, clarifying the allelic basis of ABO. We became the first to achieve successful ABO genotyping, discriminating between AA and AO genotypes and between BB and BO, which was impossible using immunohematological/serological methods. We also identified mutations in several subgroup alleles and also in the cis-AB and B(A) alleles that specify the expression of the A and B antigens by single alleles. Later, other scientists interested in the ABO system characterized many additional ABO alleles. However, the situation has changed drastically in the last decade, due to rapid advances in next-generation sequencing (NGS) technology, which has allowed the sequencing of several thousand genes and even the entire genome in individual experiments. Genome sequencing has revealed not only the exome but also transcription/translation regulatory elements. RNA sequencing determines which genes and spliced transcripts are expressed. Because more than 500,000 human genomes have been sequenced and deposited in sequence databases, bioinformaticians can retrieve and analyze this data without generating it. Now, in this era of genomics, we can harness the vast sequence information to unravel the molecular mechanisms responsible for important biological phenomena associated with the ABO polymorphism. Two examples are presented in this review: the delineation of the ABO gene evolution in a variety of species and the association of single nucleotide variant (SNV) sites in the ABO gene with diseases and biological parameters through genome-wide association studies (GWAS).Copyright © Annals of Blood. All rights reserved.

Antibiotic resistance of Klebsiella pneumoniae against the background of the COVID-19 pandemic: experience of the multidisciplinary hospital

Frequency of bacterial co-infections among patients with COVID-19 is not high, and over-prescribing of antibiotics may contribute the selection of resistant strains of enterobacteria and gram-negative non-fermenting bacteria. The aim of the study was to assess the local features of antibiotic resistance of K. pneumoniae and its genetic mechanisms against background of the COVID-19 infection pandemic. Material and methods. There was selected 37 carbapenem-resistant K. pneumoniae strains isolated in 2016, 2017 and 2020 from hospitalized patients, including 15 strains, isolated from patients with COVID-19 infection. Minimal inhibitory concentrations (MICs) of meropenem and colistin were determined by broth microdilution method. Determination of MICs of eravacycline, ceftazidime/avibactam, meropenem/vaborbactam, imipenem/relebactam was performed using Sensititre diagnostic system on EUMDROXF plates. Susceptibility to 11 combinations of 2 antibiotics was detected by modified method of multiply combination bactericidal testing. For 4 K. pneumoniae strains high-throughput sequencing was performed, followed with the subsequent search for determinants of antibiotic resistance and virulence, assessment of plasmid profiles. Results. All strains were resistant to meropenem (MIC50 32 mg/l, MIC90 128 mg/l) and produced KPC and OXA-48 carbapenemases. Strains isolated in 2016-2017 were susceptible to colistin (MIC <=2 mg/l), in 2020 only 26.7% of the strains retained their susceptibility (MIC50 64 mg/l, MIC90 256 mg/l). Susceptibility to combinations of two antibiotics with colistin included reduced from 84.6-100% in 2016-2017 till 26.6-66.7% in 2020. The strains isolated in 2020 retained their susceptibility to ceftazidime/avibactam (MIC <=1 mg/l). 5 strains resistant to cefiderocol with a MIC 8 mg/l were identified. Strains 2564 and 3125 isolated in 2020 from sputum of patients with COVID-19 infection belonged to different sequence-types (ST12 and ST23) and contained the blaOXA-48 carbapenemase gene, additionally strain 2564 contained the blaKPC-27carbapenemase gene. Resistance to colistin was caused by inactivation of the mgrB genes due to insertion of IS1 and IS5-like transposons. Conclusion. The performed genetic studies demonstrate a diversity of mechanisms of antibiotic resistance in K. pneumoniae leading to the formation of resistance including to antibiotics that haven't been used in Belarus till now.Copyright © 2021 Geotar Media Publishing Group. All Rights Reserved.