Variant Strains Research Articles

Pseudorabies virus infection triggers mitophagy to dampen the interferon response and promote viral replication.

Pseudorabies virus (PRV) utilizes multiple strategies to inhibit type I interferon (IFN-I) production and signaling to achieve innate immune evasion. Among several other functions, mitochondria serve as a crucial immune hub in the initiation of innate antiviral responses. It is currently unknown whether PRV inhibits innate immune responses by manipulating mitochondria. In this study, we found that PRV infection damages mitochondrial structure and function, as shown by mitochondrial membrane potential depolarization, reduction in mitochondrial numbers, and an imbalance in mitochondrial dynamics. In addition, PRV infection triggered PINK1-Parkin-mediated mitophagy to eliminate the impaired mitochondria, which resulted in a suppression of IFN-I production, thereby promoting viral replication. Furthermore, we found that mitophagy resulted in the degradation of the mitochondrial antiviral signaling protein, which is located on the mitochondrial outer membrane. In conclusion, the data of the current study indicate that PRV-induced mitophagy represents a previously uncharacterized PRV evasion mechanism of the IFN-I response, thereby promoting virus replication.IMPORTANCEPseudorabies virus (PRV), a pathogen that induces different disease symptoms and is often fatal in domestic animals and wildlife, has caused great economic losses to the swine industry. Since 2011, different PRV variant strains have emerged in Asia, against which current commercial vaccines may not always provide optimal protection in pigs. In addition, there are indications that some of these PRV variant strains may sporadically infect people. In the current study, we found that PRV infection causes mitochondria injury. This is associated with the induction of mitophagy to eliminate the damaged mitochondria, which results in suppressed antiviral interferon production and signaling. Hence, our study reveals a novel mechanism that is used by PRV to antagonize the antiviral host immune response, providing a theoretical basis that may contribute to the research toward and development of new vaccines and antiviral drugs.

Novel goose parvovirus in naturally infected ducks suffering from locomotor disorders: Molecular Detection, Histopathological examination, Immunohistochemical signals, and Full genome sequencing

In this study, we investigated the pathological effect of novel goose parvovirus (NGPV) infection on the skeletal muscle, brain, and intestine of naturally affected ducks suffering from locomotor dysfunction as a new approach for deeper understanding of such clinical form. For this purpose, a total of 97 diseased ducks, representing 24 flocks of different duck breeds (14-75 days old), were clinically examined. 72 tissue pools of intestine, brain, and skeletal muscle samples were submitted for molecular identification. Typical clinical signs among the examined ducks suggested the parvovirus infection. Regarding postmortem examination, all examined ducks showed muscle emaciation (100%) either accompanied by congestion (34%) or paleness (66%). Slight congestion, either in the brain (82.5%) or intestine (75.25%), was predominantly detected. Based on molecular identification, the intestine had the highest percentage of positive detection (91.7%), followed by the skeletal muscle (70.8%), and the brain (20.8%). The main histopathological alterations were myofiber atrophy and degeneration, marked enteritis accompanied by lymphocytic infiltration in the lamina propria and submucosa, while the affected brains showed vasculitis, diffuse gliosis, and Purkinje cell degeneration in the cerebellum. Next generation sequencing further confirmed the presence of a variant strain of goose parvovirus (vGPV) that is globally known as NGPV and closely related to Chinese NGPV isolates. Using immunohistochemistry, the NGPV antigen was positively detected in the muscle fibres, enterocytes, and Purkinje cells in the cerebellum. These findings provided proof of the involvement of virus replication in the locomotor disorders linked to NGPV infection in ducks.

Identification of a new Clostridium perfringens variant with a chromosomally encoded enterotoxin gene in a suspected persistent food poisoning outbreak in Eritrea

Clostridium perfringens is a causative agent of various human and animal enteric diseases including food poisoning. In this study, we describe an interesting case of a persistent food poisoning outbreak among Finnish peacekeepers in Eritrea, possibly caused by Clostridium perfringens carrying a new variant of the chromosomally encoded enterotoxin gene. C. perfringens strains causing food poisoning carry the enterotoxin gene, cpe, in its chromosome (c-cpe) or on a plasmid (p-cpe). PCR assays are widely used for toxinotype C. perfringens strains. The integration sites for the cpe gene are highly conserved, and PCR assays targeting the cpe gene and the adjacent IS elements (the IS1470 in c-cpe and the IS1470-like or IS1151 in p-cpe strains) are used to further determine the genetic location of the cpe gene. We sequenced nine enteropathogenic C. perfringens strains related to a persistent food poisoning outbreak among Finnish peacekeepers in Eritrea. Six of these strains produced non-typeable cpe results in the standard PCR assay due to divergence in the enterotoxin integration site. The gene order of the new variant of the chromosomal cpe insertion site with an additional IS1470 element impairing genotyping PCR assay for the location of cpe is described. In addition, variant c-cpe strains carried 58–81 copies of IS1470 in their genomes, compared to 9–23 copies found in previously described c-cpe strains. Thus, the present study represents an untraditional type of C. perfringens food poisoning caused by variant c-cpe strains, and the sequenced strains bring geographic variation to the existing strain collection of sequenced C. perfringens.

TMT-based quantitative proteomic analysis of IBDV-infected CEF cells reveals a favorable role of chicken IRF10 in IBDV replication via suppressing type-I interferon expression

Infectious bursal disease (IBD) is an acute, highly contagious disease caused by infectious bursal disease virus (IBDV), causing huge economic losses to the poultry industry worldwide. Currently, the emerging variant strains of IBDV and new recombinants in the field are circulating in many countries and poses severe threats to the development of poultry industry. Elucidation of the pathogenesis of IBDV infection will be of great help to the development of vaccines for control of IBDV infection. In this study, liquid chromatography tandem-mass spectrometry (LC–MS/MS) combined with tandem mass tag (TMT) labeling was performed to determine the expressions of nucleus proteins in IBDV-infected chicken embryonic fibroblast (CEF) cells 24 h post-infection (hpi). Our data show that a total of 236 nucleus proteins were differentially expressed in IBDV-infected cells vs mock-infected controls, and that among those proteins, 171 were significantly upregulated while 65 downregulated. Bioinformatics analysis reveals that the differentially expressed proteins (DEPs) were mainly involved in immune response, DNA replication, mismatch repair, and RIG-I-like receptor (RLR) signaling. Consistently, the expression of ten selected upregulated genes (IRF10, IRF7, IRF1, STAT1, ATF3, GTF3A, CSRP3, RARB, BASP1, and NF-κB1) markedly increased as examined by quantitative real‐time PCR (qRT-PCR). Furthermore, the expression of IRF10 was upregulated both in the cytoplasm and nucleus of DF-1 cells as examined by Western Blot. Moreover, knockdown of IRF10 remarkably inhibited IBDV replication via promoting IFN-I response, and overexpression of IRF10 significantly suppressed type I interferon and ISGs expression in both mock and IBDV-infected cells, suggesting that IRF10 serve as a negative regulator for host antiviral response. These results provide clues to further investigation into host–IBDV interactions and the underlying mechanisms of IBDV infection.

Broad immunogenicity to prior SARS-CoV-2 strains and JN.1 variant elicited by XBB.1.5 vaccination in nursing home residents.

SARS-CoV-2 vaccination has reduced hospitalization and mortality for nursing home residents (NHRs) but emerging variants and waning immunity challenge vaccine effectiveness. This study assesses the immunogenicity of the most recent XBB.1.5 monovalent vaccine to variant strains among NHRs. Participants were subset of a longitudinal study of consented NHRs and Healthcare workers (HCWs) who have received serial blood draws to assess immunogenicity with each SARS-CoV-2 mRNA vaccine dose. We report data on participants who received the XBB.1.5 monovalent vaccine post-FDA approval in Fall 2023. NHRs were categorized by whether they had an interval SARS-CoV-2 infection between their first bivalent vaccine dose and their XBB.1.5 monovalent vaccination. The sample included 61 NHRs [median age 76 (IQR 68-86), 51% female] and 28 HCWs [median age 45 (IQR 31-58), 46% female). After XBB.1.5 vaccination, a robust geometric mean fold rise (GMFR) in XBB.1.5-specific neutralizing antibody titers was observed:17.3 (95% confidence interval [CI] 9.3, 32.4) and NHRs with interval infection and 11.3 (95% CI 5, 25.4) in those without and 13.6 (95% CI 8.4,22) in HCWs. For JN.1-specific titers, GMFRs were 14.9 (95% CI 7.9, 28) and 6.5 (95% CI 3.3, 13.1) in NHRs with and without interval infection, and 11.4 (95% CI 6.2, 20.9) in HCWs. NHRs with interval SARS-CoV-2 infection had higher titers across all analyzed strains analyzed. The XBB.1.5 vaccine significantly elevates Omicron-specific neutralizing antibody titers to XBB.1.5 and JN.1 strains in both NHRs and HCWs with more pronounced in those previously infected with SARS-CoV-2 since bivalent vaccination.

Phylogenetic Analysis of Porcine Epidemic Diarrhea Virus (PEDV) during 2020-2022 and Isolation of a Variant Recombinant PEDV Strain.

Porcine epidemic diarrhea (PED) is an acute, highly contagious, and infectious disease caused by porcine epidemic diarrhea virus (PEDV). PEDV can affect pigs of all ages, with 50~100% mortality in neonatal piglets and substantial economic losses in the swine industry. In the present study, 347 fecal and intestinal samples were collected from seven regions in China during 2020-2022. A comprehensive molecular investigation of the spike (S) gene of PEDV strains was carried out, which included phylogenetic analysis of the obtained PEDV sequences. Epidemiological surveillance data indicate that the GIIc subgroup strains are widely distributed among pigs. A PEDV strain was successfully isolated from positive small intestine samples and identified through RT-PCR detection using specific N gene primers of PEDV, indirect immunofluorescence assay (IFA), TEM analysis, genome sequencing, and full-length S gene analysis, named PEDV/SC/2022. RDP and SimPlot analysis showed that the isolate originated from the recombination of PEDV/AH2012 and PEDV/AJ1102. In conclusion, our findings contribute to the current understanding of PEDV epidemiology and provide valuable information for the control of PED outbreaks in China.

MiR-181a Negatively Regulates Claudin-3 to Facilitate Lateolabrax maculatus Iridovirus Replication in Lateolabrax maculatus Astroglia Cells

Lateolabrax maculatus iridovirus (LMIV) is a variant strain of red sea bream iridovirus (RSIV), causing serious economic losses in aquaculture. Claudins (CLDNs) are major components of tight junctions (TJs) forming an important line of defense against pathogens. Our pilot miRNA-mRNA joint analysis indicated the degradation of CLDN3, as well as its interaction with miR-181a during LMIV infection. To elucidate the miR-181a/CLDN3/LMIV interactions, in vitro assays were carried out on LMB-L cells. We first confirmed that LMIV infection could decrease the expression of CLDN3, accompanied by the enhancement of permeability, suggesting the dysfunction of TJs. Contrary to the inhibition of CLDN3, the activation of miR-181a was proved, presenting a negative correlation between miR-181a and CLDN3 (Pearson r = −0.773 and p < 0.01). In addition, the influence of CLDN3 on LMIV replication was analyzed by knockdown and over-expression of CLDN3. When CLDN3 was silenced in LMB-L cells with siCLDN3-623 at 9 days post transfection (dpt), LMIV copies and titers were significantly up-regulated by 1.59-fold and 13.87-fold, respectively. By contrast, LMIV replication in LMB-L cells was reduced by 60% and 71%, post transfection with pcDNA3.1-CLDN3 over-expressed plasmid at 6 dpt and 9 dpt, respectively. Ultimately, the regulatory relationship between miR-181a and CLDN3 was further validated by dual luciferase reporter assays. Taking into account the above-described results, we proposed a “miR-181a/CLDN3/LMIV” regulatory relationship. This study provides a new insight for understanding the mechanism of LMIV replication.

Shift in Demographic Involvement and Clinical Characteristics of COVID-19 From Wild-Type SARS-CoV-2 to the Delta Variant in the Indian Population: In Silico Analysis.

The Delta variant (B.1.617.2) was considered the most dangerous SARS-CoV-2 strain; however, in-depth studies on its impact based on demographic and clinical characteristics of COVID-19 are scarce. We aimed to investigate the shift in demographic and clinical characteristics of the COVID-19 pandemic with the emergence of the SARS-CoV-2 Delta variant compared with the wild-type (WT) strain (B.1). A cross-sectional study of COVID-19 cases in the Indian population caused by the WT strain (B.1) and Delta variant of SARS-CoV-2 was performed. The viral genomic sequence metadata containing demographic, vaccination, and patient status details (N=9500, NDelta=6238, NWT=3262) were statistically analyzed. With the Delta variant, in comparison with the WT strain, a higher proportion of young individuals (<20 years) were infected (0-9 years: Delta: 281/6238, 4.5% vs B.1: 75/3262, 2.3%; 10-19 years: Delta: 562/6238, 9% vs B.1: 229/3262, 7%; P<.001). The proportion of women contracting infection increased (Delta: 2557/6238, 41% vs B.1: 1174/3262, 36%; P<.001). However, it decreased for men (Delta: 3681/6238, 59% vs B.1: 2088/3262, 64%; P<.001). An increased proportion of the young population developed symptomatic illness and were hospitalized (Delta: 27/262, 10.3% vs B.1: 5/130, 3.8%; P=.02). Moreover, an increased proportion of the women (albeit not men) from the young (Delta: 37/262, 14.1% vs B.1: 4/130, 3.1%; P<.001) and adult (Delta: 197/262, 75.2% vs B.1: 72/130, 55.4%; P<.001) groups developed symptomatic illness and were hospitalized. The mean age of men and women who contracted infection (Delta: men=37.9, SD 17.2 years; women=36.6, SD 17.6 years; P<.001; B.1: men=39.6, SD 16.9 years; women=40.1, SD 17.4 years; P<.001) as well as developing symptoms or being hospitalized (Delta: men=39.6, SD 17.4 years; women=35.6, SD 16.9 years, P<.001; B.1: men=47, SD 18 years; women=49.5, SD 20.9 years, P<.001) were considerably lower with the Delta variant than the B.1 strain. The total mortality was about 1.8 times higher with the Delta variant than with the WT strain. With the Delta variant, compared with B.1, mortality decreased for men (Delta: 58/85, 68% vs B.1: 15/20, 75%; P<.001); in contrast, it increased for women (Delta: 27/85, 32% vs B.1: 5/20, 25%; P<.001). The odds of death increased with age, irrespective of sex (odds ratio 3.034, 95% CI 1.7-5.2, P<.001). Frequent postvaccination infections (24/6238) occurred with the Delta variant following complete doses. The increased involvement of young people and women, the lower mean age for illness, higher mortality, and frequent postvaccination infections were significant epidemiological concerns with the Delta variant.

Prevalence of Human Adenovirus Type 3 Associated with Pharyngoconjunctival Fever in Children in Osaka, Japan during and after the COVID-19 Pandemic.

The incidence and type distribution of human adenovirus (HAdV) infections among children with pharyngoconjunctival fever (PCF) in Osaka, Japan between 2019 and 2023 were analyzed to assess the effect of the coronavirus disease 2019 (COVID-19) pandemic. The number of reported PCF cases in Osaka decreased from 2020 to 2022, followed by an unprecedented increase in 2023. HAdV-C strains, including types C1, C2, and C5, were detected in throughout the study period. Conversely, HAdV-B3 was not detected for 2 years and 9 months from March 2020 to December 2022, but the number of detections increased from July 2023. Overall, HAdV-B3 was the most frequently detected type (27 of 52 strains), and genetic analysis of its hexon hypervariable regions showed that, except for one strain, the HAdV-B3 strains identified after 2022 had different amino acid substitutions to those identified in 2019 and 2020. These results suggest that the PCF epidemic in 2023 was predominantly caused by variant strains of HAdV-B3, and that children were susceptible owing to a lack of exposure to HAdV-B3 between 2020 and 2022. Ongoing surveillance is needed to evaluate the impact of COVID-19 on the prevalence of HAdV infection.

Aging brought additional immune response alterations after breakthrough infections with the Omicron BA.5/BF.7 variants: Protein immune mechanism

The global spread of the Omicron variant strain BA.5/BF.7 has led to an increase in breakthrough infections. The elderly population shows different immune responses after infection due to the aging of the immune system, which has not been fully studied. The aim of this study was to investigate the effect of aging on immune response after breakthrough infection of Omicron BA.5/BF.7 variant, especially the changes of protein immune mechanism. The study analyzed the concentration of antibodies in serum and their ability to neutralize the mutant strain by comparing the immune response of the elderly population and the young population after infection. Proteomics techniques were used to assess differences in the expression of key proteins in immune cells of different age groups. The study found that older subjects produced lower levels of antibodies after infection than younger subjects and showed a significantly reduced ability to neutralize against BA.5/BF.7. In addition, proteomic analysis showed that the expression of proteins related to inflammation and apoptosis significantly increased in the immune cells of the elderly, while the proteins related to antiviral response and cell repair significantly decreased. These findings provide new ideas for immune intervention strategies in the elderly population, and emphasize the targeted research of anti-virus vaccines.

Targeted Immunization Strategies and Designing Vaccine against Indian Nipah Virus Strain (NiV B) and Malaysian Variant (NiV M)

Targeted Immunization Strategies and Designing Vaccine against Indian Nipah Virus Strain (NiV B) and Malaysian Variant (NiV M)

Increased viperin expression induced by avian infectious bronchitis virus inhibits viral replication by restricting cholesterol synthesis: an in vitro study

With the emergence of new variant strains resulting from high mutation rates and genome recombination, avian infectious bronchitis virus (IBV) has caused significant economic losses to the poultry industry worldwide. Little is known about the underlying mechanisms of IBV-host interactions, particularly how IBV utilizes host metabolic pathways for efficient viral replication and transmission. In the present study, the effects of the cell membrane, viral envelope membrane, and viperin-mediated cholesterol synthesis on IBV replication were explored. Our results revealed significant increase in cholesterol levels and the expression of viperin after IBV infection. Acute cholesterol depletion in the cell membrane and viral envelope membrane by treating cells with methyl-β-cyclodextrin (MβCD) obviously inhibited IBV replication; thereafter, replenishment of the cell membrane with cholesterol successfully restored viral replication, and direct addition of exogenous cholesterol to the cell membrane significantly promoted IBV infection during the early stages of infection. In addition, overexpression of viperin effectively suppressed cholesterol synthesis, as well as IBV replication, whereas knockdown of viperin (gene silencing with siRNA targeting viperin, siViperin) significantly increased IBV replication and cholesterol levels, whereas supplementation with exogenous cholesterol to viperin-transfected cells markedly restored viral replication. In conclusion, the increase in viperin induced by IBV infection plays an important role in IBV replication by affecting cholesterol production, providing a theoretical basis for understanding the pathogenesis of IBV and discovering new potential antiviral targets.

Strainy: phasing and assembly of strain haplotypes from long-read metagenome sequencing.

Bacterial species in microbial communities are often represented by mixtures of strains, distinguished by small variations in their genomes. Short-read approaches can be used to detect small-scale variation between strains but fail to phase these variants into contiguous haplotypes. Long-read metagenome assemblers can generate contiguous bacterial chromosomes but often suppress strain-level variation in favor of species-level consensus. Here we present Strainy, an algorithm for strain-level metagenome assembly and phasing from Nanopore and PacBio reads. Strainy takes a de novo metagenomic assembly as input and identifies strain variants, which are then phased and assembled into contiguous haplotypes. Using simulated and mock Nanopore and PacBio metagenome data, we show that Strainy assembles accurate and complete strain haplotypes, outperforming current Nanopore-based methods and comparable with PacBio-based algorithms in completeness and accuracy. We then use Strainy to assemble strain haplotypes of a complex environmental metagenome, revealing distinct strain distribution and mutational patterns in bacterial species.

Effect of vaccine dose intervals: Considering immunity levels, vaccine efficacy, and strain variants for disease control strategy

In this study, we present an immuno-epidemic model to understand mitigation options during an epidemic break. The model incorporates comorbidity and multiple-vaccine doses through a system of coupled integro-differential equations to analyze the epidemic rate and intensity from a knowledge of the basic reproduction number and time-distributed rate functions. Our modeling results show that the interval between vaccine doses is a key control parameter that can be tuned to significantly influence disease spread. We show that multiple doses induce a hysteresis effect in immunity levels that offers a better mitigation alternative compared to frequent vaccination which is less cost-effective while being more intrusive. Optimal dosing intervals, emphasizing the cost-effectiveness of each vaccination effort, and determined by various factors such as the level of immunity and efficacy of vaccines against different strains, appear to be crucial in disease management. The model is sufficiently generic that can be extended to accommodate specific disease forms.

Adaptive physiological and metabolic alterations in Staphylococcus aureus evolution under vancomycin exposure.

Staphylococcus aureus can develop antibiotic resistance and evade immune responses, causing infections in different body sites. However, the metabolic changes underlying this process are poorly understood. A variant strain, C1V, was derived from the parental strain C1 by exposing it to increasing concentrations of vancomycin in vitro. C1V exhibited a vancomycin-intermediate phenotype and physiological changes compared to C1. It showed higher survival rates than C1 when phagocytosed by Raw264.7 cells. Metabolomics analysis identified significant metabolic differences pre- and post-induction (C1 + SC1 vs. C1V + SC1V: 201 metabolites) as well as pre- and post-phagocytosis (C1 vs. SC1: 50 metabolites; C1V vs. SC1V: 95 metabolites). The variant strain had distinct morphological characteristics, decreased adhesion ability, impaired virulence, and enhanced resistance to phagocytosis compared to the parental strain. Differential metabolites may contribute to S. aureus ' resistance to antibiotics and phagocytosis, offering insights into potential strategies for altering vancomycin nonsusceptibility and enhancing phagocyte killing by manipulating bacterial metabolism.

A single rareσ70 variant establishes a unique gene expression pattern in the E. coli pathobiont LF82.

LF82, an adherent-invasive Escherichia coli (AIEC) pathobiont, is associated with Crohn's disease, an inflammatory bowel disease of unknown etiology. Although AIEC phenotypes differ from those of 'commensal' or pathogenic E. coli, work has failed to identify genetic features accounting for these differences. We have investigated a natural, but rare, single nucleotide polymorphism (SNP) in LF82 present within the highly conserved rpoD gene, encodingσ70 [primary sigma factor, RNA polymerase (RNAP)]. We demonstrate thatσ70 D445V results in transcriptomicand phenotypic changes consistent with LF82 phenotypes, including increased antibiotic resistance and biofilm formation and increased capacity for methionine biosynthesis. RNA-seq analyses comparingσ70 V445 versus σ70 D445 identified 24 genes upregulated byσ70 V445 in both LF82 and the laboratory E. coli K-12 strain MG1655. Using in vitro transcription, we demonstrate thatσ70 D445V directly increases transcription from promoters for several of the up-regulated genes and that the presence of a 16 bp spacer and -14 G:C is associated with this increase. The position of D445V within RNAP suggests that it could affect RNAP/spacer interaction. Our work represents the first identification of a distinguishing SNP for this pathobiont and suggests an underrecognized mechanism by which pathobionts and strain variants can emerge.

Current status and clinical outcomes of pharmacotherapies according to SARS-CoV-2 mutations in patients with mild-to-moderate COVID-19: a retrospective single center study

BackgroundDuring the pandemic period, severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2) mutated, leading to changes in the disease’s severity and the therapeutic effect of drugs accordingly. This study aimed to present the actual use of therapeutics and clinical outcomes based on the prevalence of each variant using real-world data.MethodsWe analyzed the electronic medical records of adult patients admitted to Busan Medical Center after confirming coronavirus disease 2019 (COVID-19) from February 1, 2020, to June 30, 2022. Patients with mild-to-moderate COVID-19 who were at a high risk of disease progression were selected as study subjects, and the time period was classified according to the variants as ancestral strain, Delta variant, or Omicron variant. We compared drug use status and clinical outcomes by time period.ResultsAmong all 3,091 patients, corticosteroids were the most commonly used therapy (56.0%), being used most frequently in the Delta variant (93.0%), followed by the Omicron variant (42.9%) and ancestral strain (21.2%). Regdanvimab accounted for the majority of therapeutic use in the Delta variant (82.9%) and ancestral strain (76.8%), whereas remdesivir was most frequently used during the Omicron variant period (68.9%). The composite outcomes of death or disease aggravation were ranked in the order of the Delta variant, Omicron variant, and ancestral strain (14.5, 11.9, and 6.0%, respectively, P < 0.001).ConclusionRegdanvimab was primarily used during the ancestral strain period, regdanvimab plus corticosteroids during the Delta variant period, and remdesivir during the Omicron variant period. The rate of death or disease aggravation was highest in the Delta variant, followed by the Omicron variant and the ancestral strain.

Impact of SARS-CoV-2 infection and vaccination on cesarean section outcomes: a retrospective analysis.

Pregnant individuals have faced unique challenges during the COVID-19 pandemic, necessitating a closer examination of maternal and fetal health outcomes. Investigate the morbidity and mortality associated with SARS-CoV-2 infection among pregnant individuals, considering vaccination status and variant strains. Retrospective cohort. Tertiary state hospital. Patients who underwent cesarean sections were categorized into three periods: pre-vaccination (before 31 August 2021), early post-vaccination (from September 2021), and late post-vaccination (aligned with 70% immunization coverage by 2 September 2021). Data collected included demographic information (age, gravidity, parity count, gestational age, newborn APGAR scores), cesarean section indications, chronic diseases, vaccination status, vaccine type and doses, SARS-CoV-2 variant status, ICU admission, and mortality due to COVID-19. ICU admission and mortality rates, focusing on the impact of SARS-CoV-2 infection and vaccination status. 297 COVID PCR-positive symptomatic patients who underwent cesarean sections. In the pre-vaccination group, there were 13 mortalities (8.1%) compared to 9 (6.6%) post-vaccination (P=.610). Maternal ARDS was seen in 46.2% of pre-vaccination mortalities versus 11.1% post-vaccination (P=.045). COVID-19 delta variant patients had higher ICU admission (80%) and mortality rates (40%). Rates of COVID-19 PCR-positive cesarean sections, ICU admissions, and mortality declined significantly in early (P=.021, P=.004, P=.009), respectively and late post-vaccination periods (P<.001, P<.001, P=.0019), respectively. Vaccinated patients had no ICU admissions or mortality. Vaccination against COVID-19 is crucial for pregnant individuals as it significantly reduces the risk of severe illness. While vaccines offer substantial protection, the pandemic's acute phase might be waning, yet COVID-19 remains a global threat, particularly in regions with limited vaccine access. Continued vigilance and proactive measures are essential to mitigate ongoing risks and the emergence of new variant strains. Retrospective observational design and the single-center setting, which may affect the generalizability of the findings.

A prospective cohort study of pregnancy outcomes following antepartum infection with SARS-CoV-2

ObjectivesOur study aimed to explore the impact of COVID-19 infection on pregnancy outcomes, accounting for the progression of variants, vaccines, and treatment modalities. Study DesignWe performed a prospective longitudinal cohort study at two urban tertiary centers enrolling patients with a confirmed intrauterine singleton pregnancy from December 23, 2020 to July 18, 2022. Patients were evaluated for SARS-CoV-2 infection at enrollment and every trimester using serum antibody testing. The primary outcome was preterm birth. Symptom and treatment data were collected from pregnant patients with COVID-19 infections. Variant strain infection status was determined from local wastewater analysis. Results448 patients were enrolled, and 390 patients were retained through delivery with 159 unexposed and 231 exposed patients, of whom 56 patients (26.0 %) crossed over after enrollment to the exposed cohorts during pregnancy. There was no difference in rates of preterm birth between exposed and unexposed cohorts (14.6 % vs 11.3 %), in deliveries < 34 weeks (1.5 % vs 2.7 %), PPROM, (0.4 % vs 1.3 %), or gestational age at delivery (38.1 vs 38.2). Exposed patients were significantly more likely to be diagnosed with a hypertensive disorder (aOR 2.3, 95 % CI 1.2–4.1), specifically gestational hypertension (aOR 2.8, 95 % CI 1.3––6.0), but not preeclampsia/eclampsia. There were no differences in individual or composite neonatal outcomes. ConclusionsOur study contributed to the understanding of the effects of SARS-CoV-2 infection on pregnancy outcomes, with increased risk of hypertensive disorders of pregnancy but overall, no differences in adverse neonatal outcomes. Regular antenatal PCR and antibody screening allowed for higher detection and inclusion of patients with asymptomatic SARS-CoV-2 infection and effects on maternal and neonatal outcomes.

Novel antibody language model accelerates IgG screening and design for broad-spectrum antiviral therapy.

Therapeutic antibodies have become one of the most influential therapeutics in modern medicine to fight against infectious pathogens, cancer, and many other diseases. However, experimental screening for highly efficacious targeting antibodies is labor-intensive and of high cost, which is exacerbated by evolving antigen targets under selective pressure such as fast-mutating viral variants. As a proof-of-concept, we developed a machine learning-assisted antibody generation pipeline AbGen that greatly accelerates the screening and re-design of immunoglobulins G (IgGs) against a broad spectrum of SARS-CoV-2 coronavirus variant strains. Our AbGen centers around a novel antibody language model (AbLM) that is pretrained on 12 million generic protein domain sequences and fine-tuned on 4,000+ paired VH-VL sequences, with IgG-specific CDR-masking and VH-VL cross-attention. AbLM provides a latent space of IgG sequence embeddings for AbGen, including (a) landscapes of IgGs' activities in neutralizing the wild-type virus are analyzed through structure prediction for IgG and IgG-antigen (viral protein spike's receptor binding domain, RBD) interactions; and (b) landscapes of IgGs' susceptibility in neutralizing variant viruses are predicted through Gaussian process regression, despite that as few as 14 clinical antibodies' responses to variants of concern are available. The AbGen pipeline was applied to over 1300 IgG sequences we collected from RBD-binding B cells of convalescent patients. With experimental validations, AbGen efficiently prioritized IgG candidates against a broad spectrum of viral variants (wildtype, Delta, and Omicron), preventing the infection of host cells in vitro and hACE2 transgenic mice in vivo . Compared to other existing protein language models that require 10-100 times more model parameters, AbLM improved the precision from around 50% to 75% to predict IgGs with low variant susceptibility. Furthermore, AbGen enables structure-based computational protein redesign for selected IgG clones with single amino acid substitutions at the RBD-binding interface that doubled the IgG blockade efficacy for one of the severe, therapy-resistant strains - Delta (B.1.617). Our work expedites applications of artificial intelligence in antibody screen and re- design combining data-driven protein language models and Kriging for antibody sequence analysis and activity prediction, in synergy with physics-driven protein docking and design for antibody-antigen interface analyses and functional optimization.