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Ito, J.

Publications and source records attributed to Ito, J..

At least 55 records · Page 3Linked to original sources

Antiviral efficacy of the SARS-CoV-2 XBB breakthrough infection sera against Omicron subvariants including EG.5

As of July 2023, EG.5.1 (a.k.a. XBB.1.9.2.5.1), a XBB subvariant bearing the S:Q52H and S:F456L substitutions, alongside the S:F486P substitution (Figure S1A), has rapidly spread in some countries. On July 19, 2023, the WHO classified EG.5 as a variant under monitoring. First, we showed that EG.5.1 exhibits a higher effective reproduction number compared with XBB.1.5, XBB.1.16, and its parental lineage (XBB.1.9.2), suggesting that EG.5.1 will spread globally and outcompete these XBB subvariants in the near future. We then addressed whether EG.5.1 evades from the antiviral effect of the humoral immunity induced by breakthrough infection (BTI) of XBB subvariants and performed a neutralization assay using XBB BTI sera. However, the 50% neutralization titer (NT50) of XBB BTI sera against EG.5.1 was comparable to those against XBB.1.5/1.9.2 and XBB.1.16. Moreover, the sensitivity of EG.5.1 to convalescent sera of XBB.1- and XBB.1.5-infected hamsters was similar to those of XBB.1.5/1.9 and XBB.1.16. These results suggest that the increased Re of EG.5.1 is attributed to neither increased infectivity nor immune evasion from XBB BTI, and the emergence and spread of EG.5 is driven by the other pressures. We previously demonstrated that Omicron BTI cannot efficiently induce antiviral humoral immunity against the variant infected. In fact, the NT50s of the BTI sera of Omicron BA.1, BA.2, and BA.5 against the variant infected were 3.0-, 2.2-, and 3.4-fold lower than that against the ancestral B.1.1 variant, respectively. However, strikingly, we found that the NT50 of the BTI sera of XBB1.5/1.9 and XBB.1.16 against the variant infected were 8.7- and 8.3-fold lower than that against the B.1.1 variant. These results suggest that XBB BTI cannot efficiently induce antiviral humoral immunity against XBB subvariants. O_FIG O_LINKSMALLFIG WIDTH=200 HEIGHT=147 SRC="FIGDIR/small/552415v1_figs1.gif" ALT="Figure 1"> View larger version (39K): org.highwire.dtl.DTLVardef@f95376org.highwire.dtl.DTLVardef@d66fa8org.highwire.dtl.DTLVardef@3c8841org.highwire.dtl.DTLVardef@15824c_HPS_FORMAT_FIGEXP M_FIG O_FLOATNOFigure S1.C_FLOATNO Virological features of EG.5.1 and XBB BTI (A) Frequency of mutations of interest in the representative XBB sublineages. Only mutations with a frequency >0.5 in at least one but not all the representative sublineages are shown. Note that the S proteins of XBB.1.5 and XBB.1.9.2 are identical. (B) Estimated epidemic dynamics of the representative XBB sublineages in countries where >50 sequences of EG.5.1, XBB.1.5, XBB.1.9.2, and XBB.1.16 were detected from April 1, 2023 to July 13, 2023. Countries are ordered according to the number of detected sequences of EG.5.1. Line, posterior mean; ribbon, 95% Bayesian confidence interval. The dynamics for EG.5.1 is highlighted by a red arrowhead. (C) Estimated relative Re of the representative XBB sublineages in the six countries. The relative Re of XBB.1.5 is set to 1 (horizontal dashed line). Violin, posterior distribution; dot, posterior mean; line, 95% Bayesian confidence interval. (D) Lentivirus-based pseudovirus assay. HOS-ACE2-TMPRSS2 cells were infected with pseudoviruses bearing each S protein. The amount of input virus was normalized to the amount of HIV-1 p24 capsid protein. The percentage infectivity of XBB.1.5/1.9.2, XBB.1.5/1.9.2+Q52H, XBB.1.5/1.9.2+F456L, and EG.5.1 compared to that of XBB.1.5/1.9.2 are shown. The horizontal dash line indicates the mean value of the percentage infectivity of the XBB.1.5/1.9.2. Assays were performed in quadruplicate. The presented data are expressed as the average {+/-} SD. Each dot indicates the result of an individual replicate. (E-G) Neutralization assay. Assays were performed with pseudoviruses harboring the S proteins of B.1.1, BA.1, BA.2, BA.5, BQ.1.1, XBB.1, XBB.1.5/1.9.2, XBB.1.16, EG.5.1, XBB.1.5/1.9.2+Q52H, and XBB.1.5/1.9.2+F456L. The following sera were used: convalescent sera from fully vaccinated individuals who had been infected with XBB.1.5 (one 3-dose vaccinated. 1 donor in total), XBB.1.9 (one 3-dose vaccinated donor, one 4-dose vaccinated donor and one 5-dose vaccinated donor. 3 donors in total), and XBB.1.16 (one 2-dose vaccinated donor, two 3-dose vaccinated donors, and one 4-dose vaccinated donor. 4 donors in total) (E); sera from hamster infected with XBB.1 (left) or XBB.1.5 (right) (F); and convalescent sera from fully vaccinated individuals who had been infected with BA.1 (thirteen 2-dose vaccinated, 13 donors in total) (left)1, BA.2 (nine 2-dose vaccinated and four 3-dose vaccinated donors. 13 donors in total) (middle)19, and BA.5 (one 2-dose vaccinated, thirteen 3-dose vaccinated donors, and one 4-dose vaccinated. 15 donors in total) (right)19 (G). Each dot indicates the result of an individual replicate. Assays for each serum sample were performed in triplicate to determine the 50% neutralization titer (NT50). Each dot represents one NT50 value, and the geometric mean and 95% confidence interval are shown. The number in parenthesis indicates the mean of NT50 values. The horizontal dash line indicates the detection limit (120-fold). In D, statistically significant differences (**, P < 0.001, ***, P < 0.0001) versus XBB.1.5/1.9.2 were determined by two-sided Students t tests. Blue asterisks indicate decreased percentage of infectivity. In E and G, statistically significant differences versus B.1.1 were determined by two-sided Wilcoxon signed-rank tests. The fold change between B.1.1 and the variant indicated is shown in red. Background information on the convalescent donors is summarized in Table S1. In F, statistically significant differences (*, P < 0.01, **, P < 0.001) between B.1.1 and XBB.1 (left) or XBB.1.5/1.9.2 (right) were determined by two-sided Wilcoxon signed-rank tests and indicated with asterisks. Red asterisks indicate decreased NT50s. C_FIG

microbiology↗

Neural manifolds in V1 change with top-down signals from V4 targeting the foveal region

High-dimensional brain activity is often organized into lower-dimensional neural manifolds. However, the neural manifolds of the visual cortex remain understudied. Here, we study large-scale multielectrode electrophysiological recordings of macaque (Macaca mulatta) areas V1, V4 and DP with a high spatio-temporal resolution. We find, for the first time, that the population activity of V1 contains two separate neural manifolds, which correlate strongly with eye closure (eyes open/closed) and have distinct dimensionalities. Moreover, we find strong top-down signals from V4 to V1, particularly to the foveal region of V1, which are significantly stronger during the eyes-open periods, a previously unknown effect. Finally, in silico simulations of a balanced spiking neuron network qualitatively reproduce the experimental findings. Taken together, our analyses and simulations suggest that top-down signals modulate the population activity of V1, causing two distinct neural manifolds. We postulate that the top-down modulation during the eyes-open periods prepares V1 for fast and efficient visual responses, resulting in a type of visual stand-by state.

neuroscience↗

Determination of the factors responsible for host tropism of SARS-CoV-2-related bat coronaviruses

Differences in host ACE2 genes may affect the host range of SARS-CoV-2-related coronaviruses (SC2r-CoVs) and further determine the tropism of host ACE2 for the infection receptor. However, the factor(s) responsible for determining the host tropism of SC2r-CoVs, which may in part be determined by the tropism of host ACE2 usage, remains unclear. Here, we use the pseudoviruses with the spike proteins of two Laotian SC2r-CoVs, BANAL-20-236 and BANAL-20-52, and the cells expressing ACE2 proteins of eight different Rhinolophus bat species, and show that these two spikes have different tropisms for Rhinolophus bat ACE2. Through structural analysis and cell culture experiments, we demonstrate that this tropism is determined by residue 493 of the spike and residues 31 and 35 of ACE2. Our results suggest that SC2r-CoVs exhibit differential ACE2 tropism, which may be driven by adaptation to different Rhinolophus bat ACE2 proteins.

microbiology↗

Virological characteristics of the SARS-CoV-2 Omicron XBB.1.16 variant

At the end of March 2023, XBB.1.16, a SARS-CoV-2 omicron XBB subvariant, emerged and was detected in various countries. Compared to XBB.1.5, XBB.1.16 has two substitutions in the S protein: E180V is in the N-terminal domain, and T478R in the receptor-binding domain (RBD). We first show that XBB.1.16 had an effective reproductive number (Re) that was 1.27- and 1.17-fold higher than the parental XBB.1 and XBB.1.5, respectively, suggesting that XBB.1.16 will spread worldwide in the near future. In fact, the WHO classified XBB.1.16 as a variant under monitoring on March 30, 2023. Neutralization assays demonstrated the robust resistance of XBB.1.16 to breakthrough infection sera of BA.2 (18-fold versus B.1.1) and BA.5 (37-fold versus B.1.1). We then used six clinically-available monoclonal antibodies and showed that only sotrovimab exhibits antiviral activity against XBB subvariants, including XBB.1.16. Our results suggest that, similar to XBB.1 and XBB.1.5, XBB.1.16 is robustly resistant to a variety of anti-SARS-CoV-2 antibodies. Our multiscale investigations suggest that XBB.1.16 that XBB.1.16 has a greater growth advantage in the human population compared to XBB.1 and XBB.1.5, while the ability of XBB.1.16 to exhibit profound immune evasion is comparable to XBB.1 and XBB.1.5. The increased fitness of XBB.1.16 may be due to (1) different antigenicity than XBB.1.5; and/or (2) the mutations in the non-S viral protein(s) that may contribute to increased viral growth efficiency.

microbiology↗

SARS-CoV-2 ORF3c suppresses immune activation by inhibiting innate sensing

SARS-CoV-2 proteins are translated from subgenomic RNAs (sgRNAs). While most of these sgRNAs are monocistronic, some viral mRNAs encode more than one protein. For example, the ORF3a sgRNA also encodes ORF3c, an enigmatic 4l-amino acid peptide. Here, we show that ORF3c is expressed in SARS-CoV-2 infected cells and suppresses RIG-I- and MDA5-mediated immune activation and IFN-{beta} induction. Mechanistic analyses revealed that ORF3c interacts with the signaling adaptor MAVS, induces its C-terminal cleavage and inhibits the interaction of RIG-I with MAVS. The immunosuppressive activity of ORF3c is conserved among members of the subgenus sarbecovirus, including SARS-CoV and coronaviruses isolated from bats. Notably, however, the SARS-CoV-2 delta and kappa variants harbor premature stop codons in ORF3c demonstrating that this reading frame is not essential for efficient viral replication in vivo and likely compensated by other viral proteins. In agreement with this, disruption of ORF3c did not significantly affect SARS-CoV-2 replication in CaCo-2 or CaLu-3 cells. In summary, we here identify ORF3c as an immune evasion factor of SARS-CoV-2 that suppresses innate sensing in infected cells.

microbiology↗

Enhanced transmissibility, infectivity and immune resistance of the SARS-CoV-2 Omicron XBB.1.5 variant

In 2022, we have elucidated the characteristics of a variety of newly emerging SARS-CoV-2 Omicron subvariants. At the end of 2022, the XBB.1.5 variant, an descendant of XBB.1 that acquired the S:F486P substitution, emerged and is rapidly spreading in the USA and is the latest variant of concern. Although the features of XBB.1.5 was already reported by another group as a preprint, we think multiple and independent evaluations important, and these reports are crucial for sustained global health. In this study, our epidemic dynamics analysis revealed that the relative effective reproduction number (Re) of XBB.1.5 is more than 1.2-fold greater than that of the parental XBB.1, and XBB.1.5 is outcompeting BQ.1.1, the predominant lineage in the USA as of December 2022. Our data suggest that XBB.1.5 will rapidly spread worldwide in the near future. Yeast surface display assay and pseudovirus assay respectively showed that the ACE2 binding affinity and infectivity of XBB.1.5 is 4.3-fold and 3.3-fold higher than those of XBB.1, respectively. Moreover, neutralization assay revealed that XBB.1.5 is robustly resistant to BA.2 breakthrough infection sera (41-fold versus B.1.1, 20-fold versus BA.2) and BA.5 breakthrough infection sera (32-fold versus B.1.1, 9.5-fold versus BA.5), respectively. Because the immune resistance of XBB.1.5 is comparable to that of XBB.1, our results suggest that XBB.1.5 is the most successful XBB lineage as of January 2023 by acquiring the S:F486P substitution to augment ACE2 binding affinity without losing remarkable immune resistance, which leads to greater transmissibility.

microbiology↗

Virological characteristics of the SARS-CoV-2 XBB variant derived from recombination of two Omicron subvariants

In late 2022, the SARS-CoV-2 Omicron subvariants have highly diversified, and XBB is spreading rapidly around the world. Our phylogenetic analyses suggested that XBB emerged by recombination of two co-circulating BA.2 lineages, BJ.1 and BM.1.1.1 (a progeny of BA.2.75), during the summer of 2022 around India. In vitro experiments revealed that XBB is the most profoundly resistant variant to BA.2/5 breakthrough infection sera ever and is more fusogenic than BA.2.75. Notably, the recombination breakpoint is located in the receptor-binding domain of spike, and each region of recombined spike conferred immune evasion and augmented fusogenicity to the XBB spike. Finally, the intrinsic pathogenicity of XBB in hamsters is comparable to or even lower than that of BA.2.75. Our multiscale investigation provided evidence suggesting that XBB is the first documented SARS-CoV-2 variant increasing its fitness through recombination rather than single mutations.

microbiology↗

Single-cell transcriptome analysis illuminating the characteristics of species-specific innate immune responses against viral infections

Bats harbor various viruses without severe symptoms and act as their natural reservoirs. The tolerance of bats against viral infections is assumed to originate from the uniqueness of their immune system. However, how immune responses vary between primates and bats remains unclear. Here, we characterized differences in the immune responses by peripheral blood mononuclear cells to various pathogenic stimuli between primates (humans, chimpanzees, and macaques) and bats (Egyptian fruit bats) using single-cell RNA sequencing. We show that the induction patterns of key cytosolic DNA/RNA sensors and antiviral genes differed between primates and bats. A novel subset of monocytes induced by pathogenic stimuli specifically in bats was identified. Furthermore, bats robustly respond to DNA virus infection even though major DNA sensors are dampened in bats. Overall, our data suggest that immune responses are substantially different between primates and bats, presumably underlying the difference in viral pathogenicity among the mammalian species tested.

microbiology↗

Convergent evolution of the SARS-CoV-2 Omicron subvariants leading to the emergence of BQ.1.1 variant

In late 2022, although the SARS-CoV-2 Omicron subvariants have highly diversified, some lineages have convergently acquired amino acid substitutions at five critical residues in the spike protein. Here, we illuminated the evolutionary rules underlying the convergent evolution of Omicron subvariants and the properties of one of the latest lineages of concern, BQ.1.1. Our phylogenetic and epidemic dynamics analyses suggest that Omicron subvariants independently increased their viral fitness by acquiring the convergent substitutions. Particularly, BQ.1.1, which harbors all five convergent substitutions, shows the highest fitness among the viruses investigated. Neutralization assays show that BQ.1.1 is more resistant to breakthrough BA.2/5 infection sera than BA.5. The BQ.1.1 spike exhibits enhanced binding affinity to human ACE2 receptor and greater fusogenicity than the BA.5 spike. However, the pathogenicity of BQ.1.1 in hamsters is comparable to or even lower than that of BA.5. Our multiscale investigations provide insights into the evolutionary trajectory of Omicron subvariants.

microbiology↗

Virological characteristics of the SARS-CoV-2 Omicron BA.2.75

SARS-CoV-2 Omicron BA.2.75 emerged in May 2022. BA.2.75 is a BA.2 descendant but is phylogenetically different from BA.5, the currently predominant BA.2 descendant. Here, we showed that the effective reproduction number of BA.2.75 is greater than that of BA.5. While the sensitivity of BA.2.75 to vaccination- and BA.1/2 breakthrough infection-induced humoral immunity was comparable to that of BA.2, the immunogenicity of BA.2.75 was different from that of BA.2 and BA.5. Three clinically-available antiviral drugs were effective against BA.2.75. BA.2.75 spike exhibited a profound higher affinity to human ACE2 than BA.2 and BA.5 spikes. The fusogenicity, growth efficiency in human alveolar epithelial cells, and intrinsic pathogenicity in hamsters of BA.2.75 were comparable to those of BA.5 but were greater than those of BA.2. Our multiscale investigations suggest that BA.2.75 acquired virological properties independently of BA.5, and the potential risk of BA.2.75 to global health is greater than that of BA.5.

microbiology↗

Comparative pathogenicity of SARS-CoV-2 Omicron subvariants including BA.1, BA.2, and BA.5

Unremitting emergence of severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2) variants imposes us to continuous control measurement. Given the rapid spread, new Omicron subvariant named BA.5 is urgently required for characterization. Here we analyzed BA.5 with the other Omicron variants BA.1, BA.2, and ancestral B.1.1 comprehensively. Although in vitro growth kinetics of BA.5 is comparable among the Omicron subvariants, BA.5 become much more fusogenic than BA.1 and BA.2. The airway-on-a-chip analysis showed that the ability of BA.5 to disrupt the respiratory epithelial and endothelial barriers is enhanced among Omicron subvariants. Furthermore, in our hamster model, in vivo replication of BA.5 is comparable with that of the other Omicrons and less than that of the ancestral B.1.1. Importantly, inflammatory response against BA.5 is strong compared with BA.1 and BA.2. Our data suggest that BA.5 is still low pathogenic compared to ancestral strain but evolved to induce enhanced inflammation when compared to prior Omicron subvariants.

microbiology↗

Neutralization sensitivity of Omicron BA.2.75 to therapeutic monoclonal antibodies

Since the end of 2021, severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2) Omicron variant outcompeted other variants and took over the world. After the emergence of original Omicron BA.1, Omicron BA.2 subvariant emerged and outcompeted BA.1. As of July 2022, some BA.2 subvariants, including BA.2.12.1, BA.4 and BA.5, emerged in multiple countries and begun outcompeting original BA.2. Moreover, a novel BA.2 subvariant, BA.2.75, was detected in eight countries including India at the end of June 2022, and preliminary investigations suggest that BA.2.75 is more transmissible over the other BA.2 subvariants. On July 7, 2022, the WHO classified BA.2.75 as a variant-of-concern lineage under monitoring. We have recently demonstrated that BA.4/5 is highly resistant to a therapeutic monoclonal antibody, cilgavimab, than BA.2. The resistance of SARS-CoV-2 variants to therapeutic antibodies can be attributed to the mutations in the viral spike protein. Compared to the BA.2 spike, BA.2.12.1 and BA.4/5 respectively bear two and four mutations in their spike proteins. On the other hand, the majority of BA.2.75 spike bears nine substitutions. The fact that the mutation number in the BA.2.75 spike is larger than those in the BA.4/5 spike raises the possibility that the BA.2.75 spike significantly reduces sensitivity towards therapeutic monoclonal antibodies than BA.2 and BA.4/5. In this study, we generated pseudoviruses harboring the spike proteins of BA.2.75, BA.4/5 and BA.2 and evaluated the efficacy of ten therapeutic monoclonal antibodies and three antibody cocktails against BA.2.75.

microbiology↗

DHCR7 as a novel regulator of ferroptosis in hepatocytes

Recent evidence indicates that ferroptosis is implicated in the pathophysiology of various liver diseases; however, the mechanism of ferroptosis regulation in the liver is poorly understood. Here, using the whole-genome screening approach, we identified 7-dehydrocholesterol reductase (DHCR7), the terminal enzyme of cholesterol biosynthesis, as a novel regulator of ferroptosis in hepatocytes. Genetic and pharmacological inhibition (with AY9944) of DHCR7 suppressed lipid peroxidation and ferroptosis in human hepatocellular carcinoma Huh-7 cells. DHCR7 inhibition increased its substrate, 7-dehydrocholesterol (7-DHC), and extrinsic 7-DHC supplementation in turn suppressed ferroptosis. On the other hand, cholesterol deprivation had no effect on ferroptosis. A 7-DHC-derived oxysterol metabolite, 3{beta},5-dihydroxycholest-7-en-6-one (DHCEO), was increased by a ferroptosis inducer RSL-3 in DHCR7-deficient cells, suggesting that the ferroptosis-suppressive effect of DHCR7 inhibition was driven by intracellular 7-DHC as a radical scavenger. While extrinsic 7-DHC supplementation suppressed ferroptosis in various cancer cells, pharmacological DHCR7 inhibition by AY9944 showed cell-type specific effects, which could be explained by high DHCR7 expression in Huh-7 cells. We further showed that AY9944 suppressed ferroptosis in murine primary hepatocytes in vitro and systemic administration of AY9944 inhibited hepatic ischemia-reperfusion injury in vivo. These findings provide new insights into the regulatory mechanism of liver ferroptosis and suggest that DHCR7 inhibition is a potential therapeutic option for ferroptosis-related liver diseases.

molecular biology↗

TDP 2 modulates the expression of estrogen-responsive oncogenes

With its ligand estrogen, the estrogen receptor (ER) stimulates tumor cell growth by activating a global transcriptional program. This activation involves topoisomerase 2 (TOP2), which resolves topological problems by transiently creating and re-ligating DNA double-strand breaks (DSBs). Recent studies have uncovered the involvement of DNA repair proteins in the repair of TOP2-induced DSBs. These noncanonical repair pathways may serve as backup processes when TOP2 is halted and fails to re-ligate DSBs, but their impact on transcription remains elusive. In this study, we investigated the role of tyrosyl-DNA phosphodiesterase 2 (TDP2), an enzyme that acts for the removal of halted TOP2 from the 5-end of the DNA, in the estrogen-induced transcriptome. Using TDP2-deficient ER-positive cells and mice, we showed that TDP2 regulates the expression of oncogene MYC. MYC induction by estrogen was a very early event (1 hour) and TOP2-dependent. In TDP2-deficient cells, the induction of MYC by estrogen became prolonged and volatile. Bulk and single-cell RNA-seq identified the oncogenes MYC and CCND1 as genes whose estrogen response was regulated by TDP2. These results suggest that TDP2 may play a role in the repair of TOP2-induced DSBs in specific genomic loci and tightly regulates the expression of oncogenes.

molecular biology↗

Virological characteristics of the novel SARS-CoV-2 Omicron variants including BA.2.12.1, BA.4 and BA.5

After the global spread of SARS-CoV-2 Omicron BA.2 lineage, some BA.2-related variants that acquire mutations in the L452 residue of spike protein, such as BA.2.9.1 and BA.2.13 (L452M), BA.2.12.1 (L452Q), and BA.2.11, BA.4 and BA.5 (L452R), emerged in multiple countries. Our statistical analysis showed that the effective reproduction numbers of these L452R/M/Q-bearing BA.2-related Omicron variants are greater than that of the original BA.2. Neutralization experiments revealed that the immunity induced by BA.1 and BA.2 infections is less effective against BA.4/5. Cell culture experiments showed that BA.2.12.1 and BA.4/5 replicate more efficiently in human alveolar epithelial cells than BA.2, and particularly, BA.4/5 is more fusogenic than BA.2. Furthermore, infection experiments using hamsters indicated that BA.4/5 is more pathogenic than BA.2. Altogether, our multiscale investigations suggest that the risk of L452R/M/Q-bearing BA.2-related Omicron variants, particularly BA.4 and BA.5, to global health is potentially greater than that of original BA.2. HighlightsO_LISpike L452R/Q/M mutations increase the effective reproduction number of BA.2 C_LIO_LIBA.4/5 is resistant to the immunity induced by BA.1 and BA.2 infections C_LIO_LIBA.2.12.1 and BA.4/5 more efficiently spread in human lung cells than BA.2 C_LIO_LIBA.4/5 is more pathogenic than BA.2 in hamsters C_LI

microbiology↗

Sensitivity of novel SARS-CoV-2 Omicron subvariants, BA.2.11, BA.2.12.1, BA.4 and BA.5 to therapeutic monoclonal antibodies

As of May 2022, Omicron BA.2 variant is the most dominant variant in the world. Thereafter, Omicron subvariants have emerged and some of them began outcompeting BA.2 in multiple countries. For instance, Omicron BA.2.11, BA.2.12.1 and BA.4/5 subvariants are becoming dominant in France, the USA and South Africa, respectively. In this study, we evaluated the sensitivity of these new Omicron subvariants (BA.2.11, BA.2.12.1 and BA.4/5) to eight therapeutic monoclonal antibodies (bamlanivimab, bebtelovimab, casirivimab, cilgavimab, etesevimab, imdevimab, sotrovimab and tixagevimab). Notably, we showed that although cilgavimab is antiviral against BA.2, BA.4/5 exhibits higher resistance to this antibody compared to BA.2. Since mutations are accumulated in the spike proteins of newly emerging SARS-CoV-2 variants, we suggest the importance of rapid evaluation of the efficiency of therapeutic monoclonal antibodies against novel SARS-CoV-2 variants.

microbiology↗

SARS-CoV-2 spike S375F mutation characterizes the Omicron BA.1 variant

Recent studies have revealed the unique virological characteristics of Omicron, the newest SARS-CoV-2 variant of concern, such as pronounced resistance to vaccine-induced neutralizing antibodies, less efficient cleavage of the spike protein, and poor fusogenicity. However, it remains unclear which mutation(s) in the spike protein determine the virological characteristics of Omicron. Here, we show that the representative characteristics of the Omicron spike are determined by its receptor-binding domain. Interestingly, the molecular phylogenetic analysis revealed that the acquisition of the spike S375F mutation was closely associated with the explosive spread of Omicron in the human population. We further elucidate that the F375 residue forms an interprotomer pi-pi interaction with the H505 residue in another protomer in the spike trimer, which confers the attenuated spike cleavage efficiency and fusogenicity of Omicron. Our data shed light on the evolutionary events underlying Omicron emergence at the molecular level. HighlightsO_LIOmicron spike receptor binding domain determines virological characteristics C_LIO_LISpike S375F mutation results in the poor spike cleavage and fusogenicity in Omicron C_LIO_LIAcquisition of the spike S375F mutation triggered the explosive spread of Omicron C_LIO_LIF375-H505-mediated {pi}-{pi} interaction in the spike determines the phenotype of Omicron C_LI

microbiology↗

Virological characteristics of SARS-CoV-2 BA.2 variant

Soon after the emergence and global spread of a new severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2) Omicron lineage, BA.1 (ref1, 2), another Omicron lineage, BA.2, has initiated outcompeting BA.1. Statistical analysis shows that the effective reproduction number of BA.2 is 1.4-fold higher than that of BA.1. Neutralisation experiments show that the vaccine-induced humoral immunity fails to function against BA.2 like BA.1, and notably, the antigenicity of BA.2 is different from BA.1. Cell culture experiments show that BA.2 is more replicative in human nasal epithelial cells and more fusogenic than BA.1. Furthermore, infection experiments using hamsters show that BA.2 is more pathogenic than BA.1. Our multiscale investigations suggest that the risk of BA.2 for global health is potentially higher than that of BA.1.

microbiology↗