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Charge transport properties of SARS-CoV-2 Delta variant (B.1.617.2).

ABSTRACT: The B.1.617.2 (Delta) variant of concern is causing a new wave of infections in many countries. In order to better understand the changes of the SARS-CoV-2 mutation at the genetic level, we selected six mutations in the S region of the Delta variant compared with the native SARS-CoV-2 and get the conductance information of these six short RNA oligonucleotides groups by construct RNA: DNA hybrids. The electronic characteristics are investigated by the combination of density functional theory and non-equilibrium Green's function formulation with decoherence. We found that conductance is very sensitive to small changes in virus sequence. Among the 6 mutations in the Delta S region, D950N shows the largest change in relative conductance, reaching a surprising 4104.75%. These results provide new insights into the Delta variant from the perspective of its electrical properties. This may be a new method to distinguish virus variation and possess great research prospects.

SUBMITTER: He L

PROVIDER: S-EPMC9364919 | biostudies-literature | 2022 Oct

REPOSITORIES: biostudies-literature

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Charge transport properties of SARS-CoV-2 Delta variant (B.1.617.2).

He Lijun L Xie Zhiyang Z Long Xing X Zhang Chaopeng C He Chengyun C Zhao Boyang B Qi Fei F Zhang Nan N

Process biochemistry (Barking, London, England) 20220810

The B.1.617.2 (Delta) variant of concern is causing a new wave of infections in many countries. In order to better understand the changes of the SARS-CoV-2 mutation at the genetic level, we selected six mutations in the S region of the Delta variant compared with the native SARS-CoV-2 and get the conductance information of these six short RNA oligonucleotides groups by construct RNA: DNA hybrids. The electronic characteristics are investigated by the combination of density functional theory and ...[more]

PMID: 35965635

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Project description:ImportanceThe Delta variant (B.1.617.2) is estimated to be more transmissible than previous strains of SARS-CoV-2, especially among children and adolescents. However, to our knowledge, there are no reports confirming this to date.ObjectiveTo gain a better understanding of the association of age with susceptibility to the Delta variant of SARS-CoV-2.Design, setting, and participantsThis decision analytic model used an age-structured compartmental model using the terms symptom onset (S), exposure (E), infectious (I), and quarantine (Q) (SEIQ) to estimate the age-specific force of infection, combining age-specific contact matrices and observed distribution of periods between each stage of infection (E to I [ie, latent period], I given S, and S to Q [ie, diagnostic delay]) developed in a previous contact tracing study. A bayesian inference method was used to estimate the age-specific force of infection (S to E) and, accordingly, age-specific susceptibility. The age-specific susceptibility during the third wave (ie, before Delta, from October 15 to December 22, 2020, when the COVID-19 vaccination campaign was not yet launched) and the fourth wave (ie, the Delta-driven wave, from June 27 to August 21, 2021) in Korea were compared. As vaccine uptake increased, individuals who were vaccinated were excluded from the susceptible population in accordance with vaccine effectiveness against the Delta variant. This nationwide epidemiologic study included individuals who were diagnosed with COVID-19 during the study period in Korea. Data were analyzed from September to November 2021.ExposuresAge group during the third wave (ie, before Delta) and fourth wave (ie, Delta-driven) of the COVID-19 pandemic in South Korea.Main outcomes and measuresAge-specific susceptibility during the third and fourth waves was estimated.ResultsAmong 106 866 confirmed COVID-19 infections (including 26 597 infections and 80 269 infections during the third and fourth waves of COVID-19 in Korea, respectively), a significant difference in age-specific susceptibility to the Delta vs pre-Delta variant was found in the younger age group. After adjustment for contact pattern and vaccination status, the increase in susceptibility to the Delta vs pre-Delta variant was estimated to be highest in the group aged 10 to 15 years, approximately doubling (1.92-fold increase [95% CI, 1.86-fold to 1.98-fold]), whereas in the group aged 50 years or more, susceptibility to the Delta vs pre-Delta variant remained stable at an approximately 1-fold change (eg, among individuals aged 50-55 years: 0.997-fold [95% CI, 0.989-fold to 1.001-fold).Conclusions and relevanceIn this study, the Delta variant of SARS-CoV-2 was estimated to propagate more easily among children and adolescents than pre-Delta strains, even after adjusting for contact pattern and vaccination status.

Project description:The emergence of the B.1.617.2 (Delta) variant of the severe acute syndrome coronavirus (SARS-CoV-2) that emerged in 2019 (COVID-19), resulted in a surge of cases in India and has expanded and been detected across the world, including in the United States. The B.1.617.2 (Delta) variant has been seen to be twice more transmissible coupled with potential increases in disease severity and immune escape. As a result, case numbers and hospitalisations are once again on the rise in the USA. On 16 July 2021, the Centers for Disease Control and Prevention (CDC) reported a 7-day average 69.3% increase in new cases and a 35% increase in hospitalisations. Although the gold standard for SARS-CoV-2 variants identification remains genomic sequencing, this approach is not accessible to many clinical laboratories. The main goal of this study was to validate and implement the detection of the B.1.617.2 (Delta) variant utilising an open reverse transcription polymerase chain reaction (RT-PCR) platform by explicitly detecting the S-gene target failure (SGTF) corresponding to the deletion of two amino acids (ΔE156/ΔF157) characteristic of B.1.617.2 (Delta) variant. This approach was conceived as a rapid screening of B.1.617.2 (Delta) variant in conjunction with CDC's recommended N1 (nucleocapsid gene), N2, and RP (human RNase P) genes, as a pre-screening tool prior to viral genomic sequencing. We assessed 4,937 samples from 5 July to 5 September 2021. We identified the B.1.617.2 (Delta) variant in 435 of 495 positive samples (87.8%); the additional positive samples (7 samples, 1.4%) were found to belong to the B.1.1.7 (Alpha, UK) lineage and the remaining 53 samples (10.7%) were reported as 'other' lineages. Whole genome sequencing of 46 randomly selected samples validated the strains identified as positive and negative for the B.1.617.2 (Delta) variant and confirmed the S gene deletion in addition to B.1.617.2 characteristic mutations including L452R, T478K, P681R and D950N located in the spike protein. This modality has been used as routine testing at the Riverside University System Health (RUHS) Medical Center as a method for detection of B.1.617.2 (Delta) to pre-screen samples before genome sequencing. The assay can be easily implemented in clinical laboratories, most notably those with limited economic resources and access to genomic platforms.

Project description:Vaccines are proving to be highly effective in controlling hospitalisation and deaths associated with SARS-CoV-2 infection but the emergence of viral variants with novel antigenic profiles threatens to diminish their efficacy. Assessment of the ability of sera from vaccine recipients to neutralise SARS-CoV-2 variants will inform the success of strategies for minimising COVID19 cases and the design of effective antigenic formulations. Here, we examine the sensitivity of variants of concern (VOCs) representative of the B.1.617.1 and B.1.617.2 (first associated with infections in India) and B.1.351 (first associated with infection in South Africa) lineages of SARS-CoV-2 to neutralisation by sera from individuals vaccinated with the BNT162b2 (Pfizer/BioNTech) and ChAdOx1 (Oxford/AstraZeneca) vaccines. Across all vaccinated individuals, the spike glycoproteins from B.1.617.1 and B.1.617.2 conferred reductions in neutralisation of 4.31 and 5.11-fold respectively. The reduction seen with the B.1.617.2 lineage approached that conferred by the glycoprotein from B.1.351 (South African) variant (6.29-fold reduction) that is known to be associated with reduced vaccine efficacy. Neutralising antibody titres elicited by vaccination with two doses of BNT162b2 were significantly higher than those elicited by vaccination with two doses of ChAdOx1. Fold decreases in the magnitude of neutralisation titre following two doses of BNT162b2, conferred reductions in titre of 7.77, 11.30 and 9.56-fold respectively to B.1.617.1, B.1.617.2 and B.1.351 pseudoviruses, the reduction in neutralisation of the delta variant B.1.617.2 surpassing that of B.1.351. Fold changes in those vaccinated with two doses of ChAdOx1 were 0.69, 4.01 and 1.48 respectively. The accumulation of mutations in these VOCs, and others, demonstrate the quantifiable risk of antigenic drift and subsequent reduction in vaccine efficacy. Accordingly, booster vaccines based on updated variants are likely to be required over time to prevent productive infection. This study also suggests that two dose regimes of vaccine are required for maximal BNT162b2 and ChAdOx1-induced immunity.

Project description:The emergence of the SARS-CoV-2 B.1.617.2 lineage (Delta variant) in 2021 was associated with increased case numbers and test positivity rates, including a large number of infections in fully vaccinated individuals. Here, we describe the findings of an investigation conducted in Tompkins County, New York, to evaluate factors underlying a significant uptick in the number of coronavirus disease 2019 (COVID-19) cases observed in the months of July and August 2021. We performed genomic surveillance and genotyping as well as virological assessments to determine infectivity of the virus in a select number of clinical diagnostic samples. Genomic sequence analyses revealed complete replacement of the B.1.1.7 lineage (Alpha variant) with the B.1.617.2 lineage (Delta variant) between July 1 and August 4 2021. We observed a strong association between viral RNA loads detected by real-time reverse transcriptase PCR and infectious virus detected in respiratory secretions by virus titration. A marked increase in positive cases among fully vaccinated individuals was observed. The sequence divergence between two index Delta variant cases in April and May, and the cases after July 1st, revealed independent Delta variant introductions in Tompkins County. Contact tracing information enabled the detection of clusters of connected cases within closely related phylogenetic clusters. We also found evidence of transmission between vaccinated individuals and between vaccinated and unvaccinated individuals. This was confirmed by detection and isolation of infectious virus from a group of individuals within epidemiologically connected transmission clusters, confirming shedding of high viral loads and transmission of the virus by fully vaccinated individuals. IMPORTANCE The SARS-CoV-2 lineage B.1.617.2 (Delta variant) emerged in Asia and rapidly spread to other countries, becoming the dominant circulating lineage. Worldwide infections with B.1.617.2 peaked at a time in which vaccination rates were increasing. In this study, we present data characterizing the emergence of SARS-CoV-2 lineage B.1.617.2 (Delta variant) in Tompkins County, New York, which has one of the highest vaccination rates in the state. We present evidence demonstrating infection, replication, and transmission of SARS-CoV-2 lineage B.1.617.2 (Delta variant) between fully vaccinated individuals. Importantly, infectious virus loads were determined in a subset of samples and demonstrated shedding of high viral titers in respiratory secretions of vaccinated individuals.

Dataset Information

Charge transport properties of SARS-CoV-2 Delta variant (B.1.617.2).

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Charge transport properties of SARS-CoV-2 Delta variant (B.1.617.2).

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