Optimization and Deoptimization of Codons in SARS-CoV-2 and Related Implications for Vaccine Development.

The spread of coronavirus disease 2019 (COVID-19), caused by severe respiratory syndrome coronavirus 2 (SARS-CoV-2), has progressed into a global pandemic. To date, thousands of genetic variants have been identified among SARS-CoV-2 isolates collected from patients. Sequence analysis reveals that the codon adaptation index (CAI) values of viral sequences have decreased over time but with occasional fluctuations. Through evolution modeling, it is found that this phenomenon may result from the virus's mutation preference during transmission. Using dual-luciferase assays, it is further discovered that the deoptimization of codons in the viral sequence may weaken protein expression during virus evolution, indicating that codon usage may play an important role in virus fitness. Finally, given the importance of codon usage in protein expression and particularly for mRNA vaccines, it is designed several codon-optimized Omicron BA.2.12.1, BA.4/5, and XBB.1.5 spike mRNA vaccine candidates and experimentally validated their high levels of expression. This study highlights the importance of codon usage in virus evolution and provides guidelines for codon optimization in mRNA and DNA vaccine development.

Identification of key mutations responsible for the enhancement of receptor-binding affinity and immune escape of SARS-CoV-2 Omicron variant.

The Omicron variant of severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2) has raised concerns worldwide due to its enhanced transmissibility and immune escapability. The first dominant Omicron BA.1 subvariant harbors more than 30 mutations in the spike protein from the prototype virus, of which 15 mutations are located at the receptor binding domain (RBD). These mutations in the RBD region attracted significant attention, which potentially enhance the binding of the receptor human angiotensin-converting enzyme 2 (hACE2) and decrease the potency of neutralizing antibodies/nanobodies. This study applied the molecular dynamics simulations combined with the molecular mechanics-generalized Born surface area (MMGBSA) method, to investigate the molecular mechanism behind the impact of the mutations acquired by Omicron on the binding affinity between RBD and hACE2. Our results indicate that five key mutations, i.e., N440K, T478K, E484A, Q493R, and G496S, contributed significantly to the enhancement of the binding affinity by increasing the electrostatic interactions of the RBD-hACE2 complex. Moreover, fourteen neutralizing antibodies/nanobodies complexed with RBD were used to explore the effects of the mutations in Omicron RBD on their binding affinities. The calculation results indicate that the key mutations E484A and Y505H reduce the binding affinities to RBD for most of the studied neutralizing antibodies/nanobodies, mainly attributed to the elimination of the original favorable gas-phase electrostatic and hydrophobic interactions between them, respectively. Our results provide valuable information for developing effective vaccines and antibody/nanobody drugs.

Spreading processes with mutations over multilayer networks.

A key scientific challenge during the outbreak of novel infectious diseases is to predict how the course of the epidemic changes under countermeasures that limit interaction in the population. Most epidemiological models do not consider the role of mutations and heterogeneity in the type of contact events. However, pathogens have the capacity to mutate in response to changing environments, especially caused by the increase in population immunity to existing strains, and the emergence of new pathogen strains poses a continued threat to public health. Further, in the light of differing transmission risks in different congregate settings (e.g., schools and offices), different mitigation strategies may need to be adopted to control the spread of infection. We analyze a multilayer multistrain model by simultaneously accounting for i) pathways for mutations in the pathogen leading to the emergence of new pathogen strains, and ii) differing transmission risks in different settings, modeled as network layers. Assuming complete cross-immunity among strains, namely, recovery from any infection prevents infection with any other (an assumption that will need to be relaxed to deal with COVID-19 or influenza), we derive the key epidemiological parameters for the multilayer multistrain framework. We demonstrate that reductions to existing models that discount heterogeneity in either the strain or the network layers may lead to incorrect predictions. Our results highlight that the impact of imposing/lifting mitigation measures concerning different contact network layers (e.g., school closures or work-from-home policies) should be evaluated in connection with their effect on the likelihood of the emergence of new strains.

CoVEffect: interactive system for mining the effects of SARS-CoV-2 mutations and variants based on deep learning.

BACKGROUND: Literature about SARS-CoV-2 widely discusses the effects of variations that have spread in the past 3 years. Such information is dispersed in the texts of several research articles, hindering the possibility of practically integrating it with related datasets (e.g., millions of SARS-CoV-2 sequences available to the community). We aim to fill this gap, by mining literature abstracts to extract-for each variant/mutation-its related effects (in epidemiological, immunological, clinical, or viral kinetics terms) with labeled higher/lower levels in relation to the nonmutated virus. RESULTS: The proposed framework comprises (i) the provisioning of abstracts from a COVID-19-related big data corpus (CORD-19) and (ii) the identification of mutation/variant effects in abstracts using a GPT2-based prediction model. The above techniques enable the prediction of mutations/variants with their effects and levels in 2 distinct scenarios: (i) the batch annotation of the most relevant CORD-19 abstracts and (ii) the on-demand annotation of any user-selected CORD-19 abstract through the CoVEffect web application (http://gmql.eu/coveffect), which assists expert users with semiautomated data labeling. On the interface, users can inspect the predictions and correct them; user inputs can then extend the training dataset used by the prediction model. Our prototype model was trained through a carefully designed process, using a minimal and highly diversified pool of samples. CONCLUSIONS: The CoVEffect interface serves for the assisted annotation of abstracts, allowing the download of curated datasets for further use in data integration or analysis pipelines. The overall framework can be adapted to resolve similar unstructured-to-structured text translation tasks, which are typical of biomedical domains.

The Mutational Landscape of SARS-CoV-2.

Mutation research is crucial for detecting and treating SARS-CoV-2 and developing vaccines. Using over 5,300,000 sequences from SARS-CoV-2 genomes and custom Python programs, we analyzed the mutational landscape of SARS-CoV-2. Although almost every nucleotide in the SARS-CoV-2 genome has mutated at some time, the substantial differences in the frequency and regularity of mutations warrant further examination. C>U mutations are the most common. They are found in the largest number of variants, pangolin lineages, and countries, which indicates that they are a driving force behind the evolution of SARS-CoV-2. Not all SARS-CoV-2 genes have mutated in the same way. Fewer non-synonymous single nucleotide variations are found in genes that encode proteins with a critical role in virus replication than in genes with ancillary roles. Some genes, such as spike (S) and nucleocapsid (N), show more non-synonymous mutations than others. Although the prevalence of mutations in the target regions of COVID-19 diagnostic RT-qPCR tests is generally low, in some cases, such as for some primers that bind to the N gene, it is significant. Therefore, ongoing monitoring of SARS-CoV-2 mutations is crucial. The SARS-CoV-2 Mutation Portal provides access to a database of SARS-CoV-2 mutations.

Targeted Treatment of Soft-Tissue Sarcoma.

Background: Soft-tissue sarcoma (STS) is a heterogeneous group of sarcomas with a low incidence. The treatment of advanced disease is poor, and mortality is high. We aimed to generate an overview of the clinical experiences with targeted treatments based on a pre-specified target in patients with STS. Methods: A systematic literature search was conducted in PubMed and Embase databases. The programs ENDNOTE and COVIDENCE were used for data management. The literature was screened to assess the article's eligibility for inclusion. Results: Twenty-eight targeted agents were used to treat 80 patients with advanced STS and a known pre-specified genetic alteration. MDM2 inhibitors were the most-studied drug (n = 19), followed by crizotinib (n = 9), ceritinib (n = 8), and 90Y-OTSA (n = 8). All patients treated with the MDM2 inhibitor achieved a treatment response of stable disease (SD) or better with a treatment duration of 4 to 83 months. For the remaining drugs, a more mixed response was observed. The evidence is low because most studies were case reports or cohort studies, where only a few STS patients were included. Conclusions: Many targeted agents can precisely target specific genetic alterations in advanced STS. The MDM2 inhibitor has shown promising results.

[Molecular epidemiological analysis of SARS-CoV-2 genovariants in Moscow and Moscow region].

INTRODUCTION: SARS-CoV-2, a severe acute respiratory illness virus that emerged in China in late 2019, continues to spread rapidly around the world, accumulating mutations and thus causing serious concern. Five virus variants of concern are currently known: Alpha (lineage B.1.1.7), Beta (lineage B.1.351), Gamma (lineage P.1), Delta (lineage B.1.617.2), and Omicron (lineage B.1.1.529). In this study, we conducted a molecular epidemiological analysis of the most prevalent genovariants in Moscow and the region. The aim of the study is to estimate the distribution of various variants of SARS-CoV-2 in Moscow city and the Moscow Region. MATERIALS AND METHODS: 227 SARS-CoV-2 sequences were used for analysis. Isolation of the SARS-CoV-2 virus was performed on Vero E6 cell culture. Sequencing was performed by the Sanger method. Bioinformatic analysis was carried out using software packages: MAFFT, IQ-TREE v1.6.12, jModelTest 2.1.7, Nextstrain, Auspice v2.34. RESULTS: As a result of phylogenetic analysis, we have identified the main variants of the virus circulating in Russia that have been of concern throughout the existence of the pandemic, namely: variant B.1.1.7, which accounted for 30% (9/30), AY.122, which accounted for 16.7% (5/30), BA.1.1 with 20% (6/30) and B.1.1 with 33.3% (10/30). When examining Moscow samples for the presence of mutations in SARS-CoV-2 structural proteins of different genovariants, a significant percentage of the most common substitutions was recorded: S protein D614G (86.7%), P681H/R (63.3%), E protein T9I (20.0%); M protein I82T (30.0%), D3G (20.0%), Q19E (20.0%) and finally N protein R203K/M (90.0%), G204R/P (73.3 %). CONCLUSION: The study of the frequency and impact of mutations, as well as the analysis of the predominant variants of the virus are important for the development and improvement of vaccines for the prevention of COVID-19. Therefore, ongoing molecular epidemiological studies are needed, as these data provide important information about changes in the genome of circulating SARS-CoV-2 variants.

Evaluation of Analytical and Clinical Performance and Usefulness in a Real-Life Hospital Setting of Two in-House Real-Time RT-PCR Assays to Track SARS-CoV-2 Variants of Concern.

Since the end of 2020, multiple severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2) variants of concern (VOCs) have emerged and spread worldwide. Tracking their evolution has been a challenge due to the huge number of positive samples and limited capacities of whole-genome sequencing. Two in-house variant-screening RT-PCR assays were successively designed in our laboratory in order to detect specific known mutations in the spike region and to rapidly detect successively emerging VOCs. The first one (RT-PCR#1) targeted the 69-70 deletion and the N501Y substitution simultaneously, whereas the second one (RT-PCR#2) targeted the E484K, E484Q, and L452R substitutions simultaneously. To evaluate the analytical performance of these two RT-PCRs, 90 negative and 30 positive thawed nasopharyngeal swabs were retrospectively analyzed, and no discordant results were observed. Concerning the sensitivity, for RT-PCR#1, serial dilutions of the WHO international standard SARS-CoV-2 RNA, corresponding to the genome of an Alpha variant, were all detected up to 500 IU/mL. For RT-PCR#2, dilutions of a sample harboring the E484K substitution and of a sample harboring the L452R and E484Q substitutions were all detected up to 1000 IU/mL and 2000 IU/mL, respectively. To evaluate the performance in a real-life hospital setting, 1308 and 915 profiles of mutations, obtained with RT-PCR#1 and RT-PCR#2, respectively, were prospectively compared to next-generation sequencing (NGS) data. The two RT-PCR assays showed an excellent concordance with the NGS data, with 99.8% for RT-PCR#1 and 99.2% for RT-PCR#2. Finally, for each mutation targeted, the clinical sensitivity, the clinical specificity and the positive and negative predictive values showed excellent clinical performance. Since the beginning of the SARS-CoV-2 pandemic, the emergence of variants-impacting the disease's severity and the efficacy of vaccines and therapies-has forced medical analysis laboratories to constantly adapt to the strong demand for screening them. Our data showed that in-house RT-PCRs are useful and adaptable tools for monitoring such rapid evolution and spread of SARS-CoV-2 VOCs.

Importance of the SARS-CoV-2 genome and spike protein in the immunopathogenesis of COVID-19 and in the efficacy of vaccines.

Coronavirus (CoV) infections cause respiratory and enteric diseases with clinical manifestations ranging from faint to severe, even lead to death of patients. High connectivity between nations and infectivity of severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2), represent a global health problem as the coronavirus disease 19 (COVID-19). This CoV-2 that cause SARS, which appeared in Wuhan, China, in December 2019 originated COVID-19 and declared as pandemic a few months posterior its appearance. In this review, the genomic and spike protein characteristics of SARS-CoV-2, the role of SARS-CoV-2 in the COVID-19 pathogenesis, cytokine storm, the role of cytotoxic T and B cells against SARS-CoV-2, as well as the vaccines efficacy (taking into account mutations in the spike protein) are described.

Los coronavirus (CoV) causan enfermedades respiratorias y entéricas leves, graves o críticas, pudiendo ocasionar la muerte del paciente. Debido a la alta conectividad entre naciones y a la transmisión, actualmente la COVID-19 representa un verdadero problema de salud pública en todo el mundo. El CoV-2 causante del síndrome respiratorio agudo grave (SARS-CoV-2) apareció a finales de diciembre de 2019 en Wuhan, China, y en marzo de 2020 la COVID-19 fue declarada pandemia. En esta revisión se describen las características del genoma y de la proteína espiga del SARS-CoV-2, su papel en la inmunopatogénesis de la COVID-19, la tormenta de citocinas, la actividad citotóxica inducida por células T y la producción de anticuerpos contra el SARS-CoV-2 mediada por células B, así como la eficacia de algunas vacunas, tomando en cuenta las mutaciones presentes en la proteína espiga.

Digital PCR Discriminates between SARS-CoV-2 Omicron Variants and Immune Escape Mutations.

As severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2) continues to evolve, mutations arise that will allow the virus to evade immune defenses and therapeutics. Assays that can identify these mutations can be used to guide personalized patient treatment plans. Digital PCR (dPCR) is a fast and reliable complement to whole-genome sequencing that can be used to discriminate single nucleotide polymorphisms (SNPs) in template molecules. Here, we developed a panel of SARS-CoV-2 dPCR assays and demonstrate its applications for typing variant lineages and therapeutic monoclonal antibody resistance. We first designed multiplexed dPCR assays for SNPs located at residue 3395 in the orf1ab gene that differentiate the Delta, Omicron BA.1, and Omicron BA.2 lineages. We demonstrate their effectiveness on 596 clinical saliva specimens that were sequence verified using Illumina whole-genome sequencing. Next, we developed dPCR assays for spike mutations R346T, K444T, N460K, F486V, and F486S, which are associated with host immune evasion and reduced therapeutic monoclonal antibody efficacy. We demonstrate that these assays can be run individually or multiplexed to detect the presence of up to 4 SNPs in a single assay. We perform these dPCR assays on 81 clinical saliva SARS-CoV-2-positive specimens and properly identify mutations in Omicron subvariants BA.2.75.2, BM.1.1, BN.1, BF.7, BQ.1, BQ.1.1, and XBB. Thus, dPCR could serve as a useful tool to determine if clinical specimens contain therapeutically relevant mutations and inform patient treatment. IMPORTANCE Spike mutations in the SARS-CoV-2 genome confer resistance to therapeutic monoclonal antibodies. Authorization for treatment options is typically guided by general trends of variant prevalence. For example, bebtelovimab is no longer authorized for emergency use in the United States due to the increased prevalence of antibody-resistant BQ.1, BQ.1.1, and XBB Omicron subvariants. However, this blanket approach limits access to life-saving treatment options to patients who are otherwise infected with susceptible variants. Digital PCR assays targeting specific mutations can complement whole-genome sequencing approaches to genotype the virus. In this study, we demonstrate the proof of concept that dPCR can be used to type lineage defining and monoclonal antibody resistance-associated mutations in saliva specimens. These findings show that digital PCR could be used as a personalized diagnostic tool to guide individual patient treatment.

Contribution of the catalytic dyad of SARS-CoV-2 main protease to binding covalent and noncovalent inhibitors.

The effect of mutations of the catalytic dyad residues of SARS-CoV-2 main protease (MProWT) on the thermodynamics of binding of covalent inhibitors comprising nitrile [nirmatrelvir (NMV), NBH2], aldehyde (GC373), and ketone (BBH1) warheads to MPro is examined together with room temperature X-ray crystallography. When lacking the nucleophilic C145, NMV binding is ∼400-fold weaker corresponding to 3.5 kcal/mol and 13.3 °C decrease in free energy (ΔG) and thermal stability (Tm), respectively, relative to MProWT. The H41A mutation results in a 20-fold increase in the dissociation constant (Kd), and 1.7 kcal/mol and 1.4 °C decreases in ΔG and Tm, respectively. Increasing the pH from 7.2 to 8.2 enhances NMV binding to MProH41A, whereas no significant change is observed in binding to MProWT. Structures of the four inhibitor complexes with MPro1-304/C145A show that the active site geometries of the complexes are nearly identical to that of MProWT with the nucleophilic sulfur of C145 positioned to react with the nitrile or the carbonyl carbon. These results support a two-step mechanism for the formation of the covalent complex involving an initial non-covalent binding followed by a nucleophilic attack by the thiolate anion of C145 on the warhead carbon. Noncovalent inhibitor ensitrelvir (ESV) exhibits a binding affinity to MProWT that is similar to NMV but differs in its thermodynamic signature from NMV. The binding of ESV to MProC145A also results in a significant, but smaller, increase in Kd and decrease in ΔG and Tm, relative to NMV.

Genetic Predisposition to a Vascular Catastrophe: Does It Affect Severe COVID-19?

Introduction. Targeted at the hemostatic system and the vascular endothelium, COVID-19 triggers the pathogenetic cascade of disorders in these systems. This cascade leads to the cerebral infarction, significant aggravation of other neurovas-cular diseases and neurological disorders, which requires an in-depth study. Objective: to identify the impact of factors selected among 21 candidate genes and metabolic markers on disease severity and the probability of death from SARS-CoV-2 infection in patients with a history of ischemic stroke (IS) and apparently healthy participants. Materials and Methods. We analyzed genetic, clinical, and laboratory findings in 85 patients with IS occurred at least one year before the study. During the first stage, participants were divided into three groups: Group 1 — 25 patients with a history of IS and COVID-19 at least one year prior to the study;Group 2 — 35 patients with IS history and no clinical manifestations or known COVID-19 history at baseline;and Group 3 — 20 apparently healthy participants as controls who had no clinical manifestations or information about a positive test for COVID-19 at baseline (November 2021). During the second stage, a new Group 4 included 25 patients with a history of IS who were treated for COVID-19 at baseline. Single venous blood tests were used to assess the levels of metabolic markers and identify genetic polymorphisms of hemostasis, immune response, endothelial function, and lipid metabolism in all study participants. Results. We identified the significant factors that determined the irreversible effects (damage) and fatal outcomes in patients with COVID-19 via the throm-bophilia genetic polymorphisms variations as follows: F13 encoding fibrin-stabilizing factor XIII — fibrinase (statistical probability of the factor influence > 90%), and SERPINE1 encoding endothelial plasminogen activator inhibitor-1 (PAI-1;statistical probability of the factor influence > 95%). High admission levels of homocysteine, interleukin-6, and activated partial thromboplastin time in patients with COVID-19 were associated with a severe disease course and fatal outcomes. Conclusion. Information about gene variations that trigger thrombosis and the adequate immune response can improve the effectiveness of specific therapy. Patients should understand their genetic profile, since this knowledge may prevent COVID-19 complications and significantly reduce the risk of a vascular catastrophe. © Dutova T. I., Banin I. N., Sazonov I. E., Peleshenko E. I., 2023.

Special Issue: Understanding the impact of aging on the susceptibility and response to COVID-19 infection. (Special Issue: Understanding the impact of aging on the susceptibility and response to COVID-19 infection.)

This journal issue includes 15 articles that discuss continent-wide evolutionary trends of emerging SARS-CoV-2 variants;use of convalescent plasma therapy in hospitalised adult patients with non-critical COVID-19;evidence for preserved insulin responsiveness in the aging rat brain;SARS-CoV-2 infection in HIV-infected patients;different patterns of excess all-cause mortality by age and sex in Hungary during the 2nd and 3rd waves of the COVID-19 pandemic;mutational landscape of the newly emerging Omicron (B.1.1.529) variant and comparison of mutations with VOCs and VOIs.

Vaccine prevention of COVID-19 in the system of anti-epidemic and preventive measures. literature review

Relevance: Despite the undoubted successes achieved in the fight against infectious diseases, the importance of pathogens in human pathology not only does not decrease, but also shows a tendency to increase. Thousands of people die from complications every year. This is due to the fact that viruses, primarily influenza viruses and coronaviruses, have the ability to change their structure and the mutated virus is able to infect a person again. So, a person who has had the flu has a good immune barrier, but nevertheless a new modified virus is able to easily penetrate it, since the body has not yet developed immunity against this type of virus. To date, the most effective measure of protection against viral infections is vaccination. Aim: Analysis of literature data on the role of vaccination in the system of anti-epidemic and preventive measures in the fight against viral infections, including COVID-19. Search strategy: Scientific publications were searched in the following databases: PubMed, Medline, e-Library, using the Google Scholar scientific search engine. The search depth is 3 years. Criteria for inclusion: publications in Russian and English by thematic requests: vaccination, COVID-19, pandemic;publications included in the PubMed, Medline, e-Library databases;publications for the last 3 years. Criteria for excluding: articles with paid access;s. A total of 168 sources were found. 62 articles passed the selection algorithm, accepted for analysis. Results: Analysis of the literature data has shown that today vaccination is an effective and beneficial measure against various infections worldwide. Vaccines save millions of lives every year. The development of safe and effective vaccines against COVID-19 is a huge step forward towards ending the pandemic and returning to a normal lifestyle. Conclusions: Based on the literature review, it became known that with the help of vaccines, humanity managed to get rid of a number of dangerous infections, and today, in the confrontation with the coronavirus pandemic, great hope is placed on them. A lot of research teams in different countries have joined in the search for a reliable vaccine.

Corona Viruses: Emergence, Evolution, and Recurrence

Corona viruses (CoVs) are enveloped RNA viruses that infect a broad array of avian and mammalian species, including humans. The existence of these viruses is believed to have occurred thousands of years ago as animal CoVs;bats, birds, rodents were reported to be natural reservoirs. They garnered scientific attention after their emergence as human pathogens, till date, seven corona viruses were reported to infect humans, with mild to moderate and/or severe respiratory illness. The ongoing pandemic COVID-19 is caused by one of such Corona viruses named Severe Acute Respiratory Syndrome Corona Virus -2 (SARS-CoV-2), which surprised all with its unprecedented transmission dynamics and etiology. This virus surged twice within a gap of a year all over the world and became a major health concern to many nations. Most of these Corona viruses transferred to humans through intermediate hosts. Here, in this chapter, we summarized the structural and genomic features of the Coronaviruses in general and emphasizing the SARS CoV-2 and added an account of the different vaccines and their production platforms in combating the pandemic. We briefly discussed the evolution of new variants of SARS-CoV-2 and their role in the surge of COVID-19 infections. We tried to give a brief account of the historical aspects, cross-species transmission, mutations/recombinations scenarios of CoVs with a note on their emergence as human pathogens and future prospects of recurrence. © The Author(s), under exclusive licence to Springer Nature Singapore Pte Ltd. 2021.

Omicron variant evolution on vaccines and monoclonal antibodies.

The severe acute respiratory syndrome coronavirus (SARS-CoV)-2 responsible for the global COVID-19 pandemic has caused almost 760 million confirmed cases and 7 million deaths worldwide, as of end-February 2023. Since the beginning of the first COVID-19 case, several virus variants have emerged: Alpha (B1.1.7), Beta (B135.1), Gamma (P.1), Delta (B.1.617.2) and then Omicron (B.1.1.529) and its sublineages. All variants have diversified in transmissibility, virulence, and pathogenicity. All the newly emerging SARS-CoV-2 variants appear to contain some similar mutations associated with greater "evasiveness" of the virus to immune defences. From early 2022 onward, several Omicron subvariants named BA.1, BA.2, BA.3, BA.4, and BA.5, with comparable mutation forms, have followed. After the wave of contagions caused by Omicron BA.5, a new Indian variant named Centaurus BA.2.75 and its new subvariant BA.2.75.2, a second-generation evolution of the Omicron variant BA.2, have recently been identified. From early evidence, it appears that this new variant has higher affinity for the cell entry receptor ACE-2, making it potentially able to spread very fast. According to the latest studies, the BA.2.75.2 variant may be able to evade more antibodies in the bloodstream generated by vaccination or previous infection, and it may be more resistant to antiviral and monoclonal antibody drug treatments. In this manuscript, the authors highlight and describe the latest evidences and critical issues have emerged on the new SARS-CoV-2 variants.

Validation of a new strategy for the identification of SARS-CoV-2 variants by sequencing the spike gene by Sanger.

INTRODUCTION: The emergence of multiple variants of SARS-CoV-2 during the COVID-19 pandemic is of great world concern. Until now, their analysis has mainly focused on next-generation sequencing. However, this technique is expensive and requires sophisticated equipment, long processing times, and highly qualified technical personnel with experience in bioinformatics. To contribute to the analysis of variants of interest and variants of concern, increase the diagnostic capacity, and process samples to carry out genomic surveillance, we propose a quick and easy methodology to apply, based on Sanger sequencing of 3 gene fragments that code for protein spike. METHODS: Fifteen positive samples for SARS-CoV-2 with a cycle threshold below 25 were sequenced by Sanger and next-generation sequencing methodologies. The data obtained were analyzed on the Nextstrain and PANGO Lineages platforms. RESULTS: Both methodologies allowed the identification of the variants of interest reported by the WHO. Two samples were identified as Alpha, 3 Gamma, one Delta, 3 Mu, one Omicron, and 5 strains were close to the initial Wuhan-Hu-1 virus isolate. According to in silico analysis, key mutations can also be detected to identify and classify other variants not evaluated in the study. CONCLUSION: The different SARS-CoV-2 lineages of interest and concern are classified quickly, agilely, and reliably with the Sanger sequencing methodology.

Emerging SARS-CoV-2 variants: Why, how, and what's next?

The emergence of the SARS-CoV-2 Omicron variant poses a striking threat to human society. More than 30 mutations in the Spike protein of the Omicron variant severely compromised the protective immunity elicited by either vaccination or prior infection. The persistent viral evolutionary trajectory generates Omicron-associated lineages, such as BA.1 and BA.2. Moreover, the virus recombination upon Delta and Omicron co-infections has been reported lately, although the impact remains to be assessed. This minireview summarizes the characteristics, evolution and mutation control, and immune evasion mechanisms of SARS-CoV-2 variants, which will be helpful for the in-depth understanding of the SARS-CoV-2 variants and policy-making related to COVID-19 pandemic control.

Electrical Detection Assay Based on Programmable Nucleic Acid Probe for Efficient Single-Nucleotide Polymorphism Identification.

The large-scale pandemic and fast evolution of severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2) variants have triggered an urgent need for an efficient and sensitive on-site nucleic acid testing method with single-nucleotide polymorphism (SNP) identification capability. Here, we report a multiplexed electrical detection assay based on a paperclip-shaped nucleic acid probe (PNprobe) functionalized field-effect transistor (FET) biosensor for highly sensitive and specific detection and discrimination of SARS-CoV-2 variants. The three-stem structure of the PNprobe significantly amplifies the thermodynamic stability difference between variant RNAs that differ in a single-nucleotide mutation. With the assistance of combinatorial FET detection channels, the assay realizes simultaneously the detection and identification of key mutations of seven SARS-CoV-2 variants, including nucleotide substitutions and deletions at single-nucleotide resolution within 15 min. For 70 simulated throat swab samples, the multiplexed electrical detection assay shows an identification accuracy of 97.1% for the discrimination of SARS-CoV-2 variants. Our designed multiplexed electrical detection assay with SNP identification capability provides an efficient tool to achieve scalable pandemic screening.

The Importance of Biobanking COVID-19 Samples

Collection and storage of biological specimens has been a longstanding method of conducting research all around the world. Biobanking has allowed for all types of viruses to be studied by a global network of researchers and thus enhanced and accelerated the research and development of diagnostic tests and vaccines. However, with the introduction of the novel coronavirus (COVID-19) leading to a pandemic, the challenges and gaps in biobanking became more apparent as the entire world struggled to address the pandemic. With strict measures in place to reduce transmission of the disease, the idea of virtual biobanking began to take root as a method for researchers to access data irrespective of their location. With a better understanding of the gaps and challenges faced by researchers in biobanking and virtual biobanking, it is likely that there will be a stronger and more robust response to epidemics and pandemics in the future. © The Author(s), under exclusive license to Springer Nature Switzerland AG 2022.