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Immunologic and virologic evolution during periods of intermittent and persistent low-level viremia.

BACKGROUND: HIV replication, HIV-specific T-cell responses and T-cell activation each contributes to disease outcome during untreated HIV infection. The interaction of these factors is not well understood, particularly in the setting of antiretroviral therapy. METHODS: This is a longitudinal study of antiretroviral-treated patients with plasma HIV RNA levels < 1000 copies/ml. Patients were divided into three groups: suppressed viremia, intermittent viremia ('blips') and persistent low-level viremia. HIV-specific immunity was measured using interferon-gamma ELISPOT. T-cell activation was defined by CD38 and HLA-DR co-expression. Drug resistance was quantified using a phenotypic susceptibility assay. RESULTS: The breadth and the magnitude of the HIV-specific CD8 T-cell response was greater in patients with either intermittent or persistent viremia compared to patients with suppressed viremia. In contrast, T-cell activation was significantly elevated only in those patients with persistent viremia. Patients with persistent low-level viremia had moderate levels of phenotypic antiretroviral drug resistance that increased over time. Virologic failure (confirmed increase in viral load > 1000 HIV RNA copies/ml) was primarily observed in the persistently viremic group. CONCLUSIONS: Antiretroviral-treated individuals with intermittent viremia appear to mount an effective HIV-specific T-cell response while not experiencing increases in the level of immune activation. This may limit viral evolution and emergence of drug resistance. In contrast, antiretroviral-treated individuals with persistent low-level viremia exhibit significant increases in overall immune activation and a substantial risk of subsequent treatment failure. It is likely that higher viremia and stronger immune activation act synergistically to accelerate the development of systemic drug resistance.

Anti-HIV Agents↗

Clinical and genomic characterization of Influenza A co-infection with SARS-CoV-2 and Influenza B: a respiratory surveillance study in Assam, India.

Influenza and SARS-CoV-2 are the primary contributors to seasonal respiratory infections and frequently co-circulate, creating significant health challenges. The present respiratory surveillance study was conducted in Dibrugarh, Assam, India from January 2025&#xa0;to August 2025 to investigate the genomic characteristics of circulating viruses and identify potential co-infections. Overall, 4,948 respiratory samples were screened using multiplex real-time PCR, followed by subtyping of Influenza A and Influenza B. Next-generation sequencing (NGS) was performed in selected positives of SARS-CoV-2 and Influenza A. Genomic analysis included mutational profiling, phylogenetic analysis and N-glycosylation site prediction using bioinformatics tools. Two co-infection cases were detected: one involving Influenza A (H3N2) with SARS-CoV-2 (Omicron XFG lineage) and another involving Influenza A (H3N2) with Influenza B (Victoria lineage). Both patients experienced mild illness without hospitalisation. NGS revealed that the Influenza A (H3N2) viruses belonged to clade 3C.2a1b.2a.2a.3a.1 while SARS-CoV-2 sequence was classified under the Omicron XFG lineage. Mutational analysis of the HA gene showed several amino acid differences compared to the reference vaccine strain A/Darwin/6/2021. N-glycosylation analysis predicted conserved sites at positions 79, 181, 262, and 301 in all strains along with an additional predicted site at position 110 in both co-infection cases. Although the co-infection cases presented with mild clinical manifestations, the observed genomic variations indicate a potential role of co-infecting viruses in shaping viral evolution. Given the limited genomic data available from Northeast India, the study underscores the need for sustained large scale follow up and genomic surveillance to monitor emerging mutations and target future vaccine strategies.

Humans↗

Genome structure and transcriptional regulation of human coronavirus NL63.

BACKGROUND: Two human coronaviruses are known since the 1960s: HCoV-229E and HCoV-OC43. SARS-CoV was discovered in the early spring of 2003, followed by the identification of HCoV-NL63, the fourth member of the coronaviridae family that infects humans. In this study, we describe the genome structure and the transcription strategy of HCoV-NL63 by experimental analysis of the viral subgenomic mRNAs. RESULTS: The genome of HCoV-NL63 has the following gene order: 1a-1b-S-ORF3-E-M-N. The GC content of the HCoV-NL63 genome is extremely low (34%) compared to other coronaviruses, and we therefore performed additional analysis of the nucleotide composition. Overall, the RNA genome is very low in C and high in U, and this is also reflected in the codon usage. Inspection of the nucleotide composition along the genome indicates that the C-count increases significantly in the last one-third of the genome at the expense of U and G. We document the production of subgenomic (sg) mRNAs coding for the S, ORF3, E, M and N proteins. We did not detect any additional sg mRNA. Furthermore, we sequenced the 5' end of all sg mRNAs, confirming the presence of an identical leader sequence in each sg mRNA. Northern blot analysis indicated that the expression level among the sg mRNAs differs significantly, with the sg mRNA encoding nucleocapsid (N) being the most abundant. CONCLUSIONS: The presented data give insight into the viral evolution and mutational patterns in coronaviral genome. Furthermore our data show that HCoV-NL63 employs the discontinuous replication strategy with generation of subgenomic mRNAs during the (-) strand synthesis. Because HCoV-NL63 has a low pathogenicity and is able to grow easily in cell culture, this virus can be a powerful tool to study SARS coronavirus pathogenesis.

Amino Acid Sequence↗

Parvovirus host range, cell tropism and evolution.

The past few years have seen major advances in our understanding of the controls of evolution, host range and cell tropism of parvoviruses. Notable findings have included the identification of the transferrin receptor TfR as the cell surface receptor for canine parvovirus and feline panleukopenia virus, and also the finding that specific binding to the canine TfR led to the emergence of canine parvovirus as a new pathogen in dogs. The structures of the adeno-associated virus-2 and porcine parvovirus capsids, along with those of the minute virus of mice, have also advanced our understanding of parvovirus biology. Structure-function studies have shown that in several different parvoviruses the threefold spikes or peaks of the capsid control several aspects of cell tropism and host range, and that those are subject to selective pressures leading to viral evolution. The cell and tissue tropisms of different adeno-associated virus serotypes were demonstrated to be due, in part, to specific receptor binding.

Animals↗

RNA recombination in animal and plant viruses.

An increasing number of animal and plant viruses have been shown to undergo RNA-RNA recombination, which is defined as the exchange of genetic information between nonsegmented RNAs. Only some of these viruses have been shown to undergo recombination in experimental infection of tissue culture, animals, and plants. However, a survey of viral RNA structure and sequences suggests that many RNA viruses were derived form homologous or nonhomologous recombination between viruses or between viruses and cellular genes during natural viral evolution. The high frequency and widespread nature of RNA recombination indicate that this phenomenon plays a more significant role in the biology of RNA viruses than was previously recognized. Three types of RNA recombination are defined: homologous recombination; aberrant homologous recombination, which results in sequence duplication, insertion, or deletion during recombination; and nonhomologous (illegitimate) recombination, which does not involve sequence homology. RNA recombination has been shown to occur by a copy choice mechanism in some viruses. A model for this recombination mechanism is presented.

Base Sequence↗

Wastewater-based sequencing of respiratory syncytial virus to investigate lineage dynamics and antigenic site mutations: a retrospective genomic epidemiology study.

BACKGROUND: Respiratory syncytial virus (RSV) infections pose a substantial health burden, particularly for clinically vulnerable populations such as infants and older adults. Although novel immunoprophylactic interventions show promise in providing protection, many countries may not have robust surveillance systems to monitor circulating RSV lineages and detect mutations that might reduce the effectiveness of these new interventions. We aimed to assess the diversity and temporal dynamics of circulating RSV lineages in urban populations through amplicon-based sequencing and analysis of wastewater extracts. METHODS: In this prospective observational wastewater-based genomic surveillance study, 32 raw influent 24-h composite samples were collected during the 2022-23 and 2023-24 RSV seasons from both Zurich and Geneva, Switzerland. We applied an RSV subtype-specific amplicon-based sequencing approach to obtain RSV-A and RSV-B sequences from all 64 samples. Mutations relative to reference genomes were identified at positions with read depth above 30. Relative abundances of RSV lineages were estimated from frequencies of lineage-signature mutations, present in greater than 90% of publicly available sequences of that lineage. FINDINGS: Relative abundances of RSV-B (2022-23) and RSV-A (2023-24) lineages were estimated over the two RSV seasons. During the 2022-23 season, the RSV-B B.D.E.1 lineage prevailed in both cities. In the 2023-24 season, multiple RSV-A lineages cocirculated, including A.D.1, A.D.3, A.D.5, and their sub-lineages. Identification and frequency estimation of mutations showed low-frequency, non-synonymous mutations in antigenic sites on the fusion gene of both RSV-A and RSV-B, some of which have not been reported in clinical sequences. The primary outcome was identification and relative abundance of RSV lineages in wastewater samples. INTERPRETATION: These findings show the potential of wastewater-based genomic surveillance to identify and track circulating RSV lineages and clinically relevant mutations. As novel RSV immunoprophylaxis measures are introduced in upcoming RSV seasons, wastewater-derived genomic RSV data provide a valuable baseline for understanding RSV diversity and future viral evolution under increased immunological pressure. FUNDING: This study was funded by the Swiss National Science Foundation and in part by the National Institute Of Allergy And Infectious Diseases of the National Institutes of Health. Funding for sample collection and processing was provided by the Swiss Federal Office of Public Health.

Humans↗

The functional CD8 T cell response to HIV becomes type-specific in progressive disease.

High levels of HIV-specific CD8 T cells are demonstrable throughout HIV disease using laboratory assays that measure responses to consensus epitopes. In acute infection, the dynamics of the antiviral CD8 T cell response correlate well with the decline in viremia. However in chronic infection, although responses are detected against a broader spectrum of epitopes, virus-specific CD8 T cells are apparently unable to control viral replication. To investigate whether CD8 T cells responding to consensus epitopes may have lost their in vivo relevance in the chronic phase because of viral evolution driven by immune pressure, we compared the CD8 T cell response to CD4 T cell targets infected with either lab-adapted HIV(IIIB) or the patient's own virus. The magnitude of the IFN-gamma response declined with disease progression, especially to autologous virus. T cell receptor (TCR) clonotypes of HIV(IIIB) and autologous virus-responding cells were determined by sequencing TCR beta chain variable (TCRBV) genes. In two of three asymptomatic donors, the dominant clonotypes overlapped, whereas in five symptomatic patients, the TCR clonotypes responding to HIV(IIIB) virus were completely different from those responding to autologous virus. Moreover, in cytolytic assays, T cell lines derived from IFN-gamma(+) cells responding to lab-adapted or autologous virus cross-recognized target cells infected with either virus in asymptomatic subjects with shared TCR clonotypes but not in progressors with differing clonotypes. Therefore, in advanced-stage patients, viral-specific CD8 T cells recognizing consensus epitopes persist from an earlier response but no longer effectively recognize autologous virus.

CD8-Positive T-Lymphocytes↗

Healthcare-facility-based SARS-CoV-2 genomic surveillance in Brazil: experience from the global action in healthcare network.

UNLABELLED: Genomic sequencing is essential to effectively monitor the SARS-CoV-2 evolution and spread of its lineages. Healthcare-facility-based SARS-CoV-2 genomic surveillance has been proposed as a valuable strategy, considering the characteristics of its target population. As part of the Centers for Disease Control and Prevention's Global Action in Healthcare Network program, this study aimed to describe the distribution and frequency of SARS-CoV-2 lineages in two tertiary-care hospitals in Brazil, where the genomic sequencing capacity is limited. Whole-genome sequencing of SARS-CoV-2 samples obtained from 993 healthcare workers (75.4%) and inpatients (24.6%) was analyzed between February 2023 and August 2024. In total, 113 distinct lineages were identified. Notably, we observed a temporal replacement of predominant lineages corresponding to three distinct epidemic waves: the first wave dominated by XBB.1.5 and XBB.2.3 (February 2023 to June 2023), the second by GK.1.1 and JD.1.1 (September 2023 to December 2023), and the third by JN.1 and JN.1.9 (January 2024 to April 2024). JN.1.9 was the only lineage with a significantly higher prevalence among healthcare workers compared to inpatients. Additionally, we identified cases of co-infection with genetically distinct variants, underscoring the potential for healthcare-based monitoring to capture events relevant to viral evolution. Overall, our findings were consistent with those observed across Brazil, suggesting that this strategy may be valuable for SARS-CoV-2 genomic surveillance. They also indicate a clear temporal pattern of lineage replacement, reflecting successive waves driven by emerging variants and rapid global dissemination. IMPORTANCE: Genomic surveillance of SARS-CoV-2 remains essential for identifying emerging variants with increased transmissibility, immune escape, or pathogenicity. While most genomic surveillance efforts focus on community-based sampling, a healthcare-facility-based strategy may offer a complementary approach. In this study, we describe SARS-CoV-2 lineage dynamics over an 18-month period among healthcare workers and hospitalized patients in southern Brazil. Our findings align closely with regional and national trends, supporting the value of healthcare-facility-based SARS-CoV-2 genomic surveillance for documenting the local genomic landscape and demonstrating the feasibility and value of this approach in settings with limited genome sequencing capacity. Additionally, this approach may be applicable to other respiratory viruses in healthcare settings; however, further studies would be needed to confirm this.

Humans↗

Interruption of treatment with individual therapeutic drug classes in adults with multidrug-resistant HIV-1 infection.

BACKGROUND: Many antiretroviral-treated human immunodeficiency virus (HIV)-infected patients experience sustained immunologic and virologic benefit despite the presence of multidrug-resistant HIV. We hypothesized that the use of simplified regimens could maintain treatment benefit while preventing viral evolution and reducing drug-related toxicity and costs. METHODS: We conducted a 48-week nonrandomized study of adults with multidrug-resistant HIV type 1 infection. Subjects interrupted protease inhibitor (PI) (n=18), reverse-transcriptase inhibitor (RTI) (n=6), or nonnucleoside RTI (NNRTI) (n=6) treatment. RESULTS: At study entry, subjects had a median reduction in HIV RNA levels of 1.2 log10 copies/mL relative to pretreatment levels. Interruption of PI treatment was associated with stable HIV RNA levels (mean change per week, +0.005 log10 copies/mL; P=.36). PI mutations waned and replicative capacity and HIV RNA levels increased after long-term observation. HIV RNA levels also remained stable in subjects interrupting NNRTI treatment. In contrast, all subjects who interrupted RTI treatment exhibited immediate increases in HIV RNA levels, and most exhibited a subsequent loss of the M184V mutation. CONCLUSIONS: These data indicate that nucleoside analogues often exert continued antiviral activity in the setting of drug-resistance mutations and that both nucleoside analogues and PIs can select for drug-resistance mutations that reduce viral fitness. These observations support the evaluation of treatment strategies aimed at maintaining the treatment benefit of therapy while reducing drug exposure.

Anti-Retroviral Agents↗

Contrasting use of CCR5 structural determinants by R5 and R5X4 variants within a human immunodeficiency virus type 1 primary isolate quasispecies.

Macrophagetropic R5 human immunodeficiency virus type 1 (HIV-1) isolates often evolve into dualtropic R5X4 variants during disease progression. The structural basis for CCR5 coreceptor function has been studied in a limited number of prototype strains and suggests that R5 and R5X4 Envs interact differently with CCR5. However, differences between unrelated viruses may reflect strain-specific factors and do not necessarily represent changes resulting from R5 to R5X4 evolution of a virus in vivo. Here we addressed CCR5 domains involved in fusion for a large set of closely related yet functionally distinct variants within a primary isolate swarm, employing R5 and R5X4 Envs derived from the HIV-1 89.6(PI) quasispecies. R5 variants of 89.6(PI) could fuse using either N-terminal or extracellular loop CCR5 sequences in the context of CCR5/CXCR2 chimeras, similar to the unrelated R5 strain JRFL, but R5X4 variants of 89.6(PI) were highly dependent on the CCR5 N terminus. Similarly, R5 89.6(PI) variants and isolate JRFL tolerated N-terminal CCR5 deletions, but fusion by most R5X4 variants was markedly impaired. R5 89.6(PI) Envs also tolerated multiple extracellular domain substitutions, while R5X4 variants did not. In contrast to CCR5 use, fusion by R5X4 variants of 89.6(PI) was largely independent of the CXCR4 N-terminal region. Thus, R5 and R5X4 species from a single swarm differ in how they interact with CCR5. These results suggest that R5 Envs possess a highly plastic capacity to interact with multiple CCR5 regions and support the concept that viral evolution in vivo results from the emergence of R5X4 variants with the capacity to use the CXCR4 extracellular loops but demonstrate less-flexible interactions with CCR5 that are strongly dependent on the N-terminal region.

Gene Products, env↗

Characterization of phi 12, a bacteriophage related to phi 6: nucleotide sequence of the small and middle double-stranded RNA.

The isolation of additional bacteriophages containing segmented double-stranded RNA genomes has expanded the Cystoviridae family to nine members. Comparing the genomic sequences of these viruses has allowed evaluation of important genetic as well as structural motifs. These comparative studies are resulting in greater understanding of viral evolution and the role played by genetic and structural variation in the assembly mechanisms of the cystoviruses. In this regard, the small and middle double-stranded RNA genomic segments of bacteriophage phi 12 were copied as cDNA and their nucleotide sequences determined. This genome's organization is similar to that of the small and middle segments of bacteriophages phi 6, phi 8, and phi 13. Although there is little similarity in the nucleotide sequences, similarity exists in the amino acid sequence of the lysis cassette proteins to those of phi 6. The host cell attachment proteins are found to have marked similarity to the phi 13 attachment proteins.

Bacteriophage phi 6↗

Rapid spread of the SARS-CoV-2 Omicron XDR lineage derived from recombination between XBB and BA.2.86 subvariants circulating in Brazil in late 2023.

Recombination plays a crucial role in the evolution of SARS-CoV-2. The Omicron XBB* recombinant lineages are a noteworthy example, as they have been the dominant SARS-CoV-2 variant worldwide in the first half of 2023. Since November 2023, a new recombinant lineage between Omicron subvariants XBB and BA.2.86, designated XDR, has been detected mainly in Brazil. In this study, we reconstructed the spatiotemporal dynamics and estimated the absolute and relative transmissibility of the XDR lineage. The XDR lineage displayed a recombination breakpoint in the ORF1a-coding region, and the most closely related sequences to the 5' and 3' ends of the recombinant correspond to JD.1.1 and JN.1.1 lineages, respectively. The first XDR sequences were detected in November 2023 in the Northeastern Brazilian region, and their prevalence rapidly surged from <1% to 25% by February 2024. The Bayesian phylogeographic analysis supports that the XDR lineage likely emerged in the Northeastern Brazilian region around late October 2023 and rapidly disseminated within and outside Brazilian borders from mid-November onward. The median effective reproductive number of the XDR lineage in Brazil during the initial expansion phase was estimated to be around 1.5, and the average relative instantaneous reproduction numbers of XDR and JN* lineages were estimated to be 1.37 and 1.29 higher than that of co-circulating XBB* lineages. In summary, these findings support that the recombinant lineage XDR arose in the Northeastern Brazilian region in October 2023, shortly after the first detection of JN.1 sequences in the country. In Brazil, the XDR lineage exhibited a higher transmissibility level than its parental XBB.* lineages and is spreading at a rate similar to or slightly faster than the JN.1* lineages.IMPORTANCEThis study highlights the emergence and rapid dissemination of the recombinant SARS-CoV-2 XDR lineage, derived from the Omicron lineages JD.1.1 and JN.1.1. The XDR lineage exhibited equivalent transmissibility to its JN.1* parental lineages and quickly spread across Brazil in late 2023. The findings underscore the critical role of real-time genomic surveillance in detecting novel variants with higher transmission potential. By utilizing phylogenetic and epidemiological methods, this research provides important insights into the molecular dynamics of XDR, which could inform public health responses and vaccine composition updates. The study's significance lies in its ability to document the impact of recombination on viral evolution, offering valuable information to the field of virology and pandemic preparedness.

Brazil↗

Methods for the detection of non-random base substitution in virus genes: models of synonymous nucleotide substitution in picornavirus genes.

A substantial fraction of phylogenetic divergence between closely related RNA virus genes is generally accounted for by synonymous (non-amino acid changing) point mutation. Viral evolution may be a complicated phenomena, governed by many different processes. However in this study we ask whether there are any properties in the patterns of synonymous nucleotide substitutions in three different Picornavirus genes that permit the process of accumulation of synonymous point mutation in these genes to be distinguished from some of the simplest most basic evolutionary models. We conclude that while the observed patterns in the occurrence of synonymous point substitution are consistent with those predicted by a model in which base mutation is equi-probable along a gene, and the probability of synonymous substitution determined only by local codon usage, some patterns in the actual nucleotides exchanged remain to be explained.

Amino Acid Substitution↗

HIV-1 entry inhibitors: classes, applications and factors affecting potency.

Antiviral agents targeting human immunodeficiency virus type-1 (HIV-1) attachment, co-receptor engagement and fusion, collectively referred to as entry inhibitors, are emerging as promising therapeutic agents in the treatment of HIV-1 infection. Viral evolution and concomitant emergence of resistant strains will continue to be an important consideration in the development of any new therapeutic against HIV-1. However, unique challenges facing the development of entry inhibitors center around the highly variable and flexible nature of the HIV-1 envelope protein (Env). For example, the evolution of Env during the course of HIV-1 infection increases the efficiency of Env-CCR5 interactions, which consequently increases Env-mediated fusogenicity and decreases sensitivity to entry inhibitors. This points to a relationship between co-receptor interactions and fusogenicity that merits further consideration in the design of HIV-1 entry inhibitors. It also underscores the importance of considering the biological properties of late-emerging HIV-1 variants in the design of new therapeutics. This review examines the various entry inhibitors that are undergoing preclinical or clinical testing or which are in the early stages of clinical use, their applications in a clinical setting and possible factors that may affect potency against HIV-1.

Anti-HIV Agents↗

Selection of influenza A virus adsorptive mutants by growth in the presence of a mixture of monoclonal antihemagglutinin antibodies.

The influenza virus hemagglutinin contains four major regions that are recognized by antibodies able to neutralize viral infectivity. To investigate the effect of an antibody response directed against each of these sites on viral evolution, influenza virus A/PR/8/34 (H1N1) was grown in allantois-on-shell cultures in the presence of a mixture of monoclonal antihemagglutinin antibodies. This selection mixture contained antibodies (two or three antibodies per antigenic site) whose concentrations were adjusted to achieve equal neutralization titers against each of the four antigenic sites. By varying the ratio of input virus to selection mixture concentration, we observed that variant viruses emerged under conditions of partial neutralization. Each of the four variants characterized in detail differed from the parental virus in its interaction with cellular receptors and exhibited minimal changes in antigenicity. Thus, these variants were virtually indistinguishable from wild-type viruses, as assessed by the binding of 103 monoclonal antihemagglutinin antibodies in an indirect radioimmunoassay. Despite this, many of the same antibodies demonstrated decreased titers to the variants in hemagglutination inhibition tests. The magnitude of the differences depended on the indicator erythrocytes used (much greater differences were detected with chicken erythrocytes than with human erythrocytes). Hemagglutination mediated by the variants was more resistant to neuraminidase treatment of erythrocytes than hemagglutination mediated by the parental virus. These findings are consistent with the idea that the variants were initially selected by virtue of their increased avidity for host cell receptors. Sequencing of viral RNA revealed that each of the variants differed from the parental virus by a single amino acid alteration in its HA1 subunit. Two of the changes were close to the proposed receptor binding site on hemagglutinin and could directly alter receptor binding, while a third was located near the trimer interface and may have increased receptor binding by altering monomer-monomer interactions.

Adhesiveness↗

A transcriptionally active subgenomic promoter supports homologous crossovers in a plus-strand RNA virus.

Genetic RNA recombination plays an important role in viral evolution, but its molecular mechanism is not well understood. In this work we describe homologous RNA recombination activity that is supported by a subgenomic promoter (sgp) region in the RNA3 segment of brome mosaic bromovirus (BMV), a tripartite plus-strand RNA virus. The crossover frequencies were determined by coinoculations with pairs of BMV RNA3 variants that carried a duplicated sgp region flanked by marker restriction sites. A region composed of the sgp core, a poly(A) tract, and an upstream enhancer supported homologous exchanges in 25% of the analyzed RNA3 progeny. However, mutations in the sgp core stopped both the transcription of the sgp RNA and homologous recombination. These data provide evidence for an association of RNA recombination with transcription.

Bromovirus↗

Kaposi's sarcoma-associated herpesvirus.

Kaposi's sarcoma (KS) is a vascular tumor predominantly found in the immunosuppressed. Epidemiologic studies suggest that an infective agent is the etiologic culprit. Kaposi's sarcoma-associated herpesvirus (KSHV), or human herpesvirus-8 (HHV-8), is a gamma human herpesvirus present in all epidemiologic forms of KS and also in a rare type of a B cell lymphoma, primary effusion lymphoma (PEL). In addition, this virus is present in most biopsies from human immunodeficiency virus (HIV)-associated multicentric Castleman's disease (MCD). MCD is a lymphoproliferative disorder with, like KS, a prominent microvasculature. The genome of KSHV contains the expected open reading frames (ORFs) encoding for enzymes and viral structural proteins found in other herpesviruses, but it also contains an unprecedented number of ORFs pirated during viral evolution from cellular genes. These include proteins that may alter cellular growth (e.g., Bcl-2 and cyclin homologs), induce angiogenesis (e.g., chemokine, chemokine receptor, and cytokine homologs), and regulate antiviral immunity (e.g., CD21 and interferon regulatory factor homologs). No ORF with sequence similarity to the Epstein-Barr nuclear antigens (EBNAs) and latent membrane proteins (LMPs) of Epstein-Barr virus (EBV) is present, but proteins analogous to these in structure and in latent expression are found [e.g., ORF 73 encoding for KSHV latent nuclear antigen (LNA-1) and K12 encoding for a possible latent membrane protein]. Current serologic assays confirm the strong association of infection with KSHV and risk of KS development. The mechanism of how this new virus may trigger the precipitation of KS is still unclear.

Combined Modality Therapy↗

Tracking the shifting landscape of SARS-CoV-2 variants in Lebanon among healthcare workers and hospitalized patients.

UNLABELLED: Genomic surveillance of SARS-CoV-2 is critical for tracking viral evolution and informing public health responses. This study characterized variants circulating among healthcare workers (HCWs) and hospitalized patients in Lebanon between January 2022 and September 2024. A total of 530 SARS-CoV-2-positive nasopharyngeal swabs were collected from five Lebanese governorates and subjected to whole-genome sequencing. Correlations between variant circulation and a number of demographic and clinical variables were assessed. Most HCWs were female (64%), young adults (20-30 years, 39%), and had no comorbidities (97%). In contrast, hospitalized patients were mostly older adults (>60 years, 55.6%) with underlying conditions (77%). Early 2022 was marked by BA.1- and BA.2-like Omicron variants, followed by the predominance of BA.5-like lineages. In 2023, recombinant XBB sublineages became widespread. By 2024, these were largely replaced by next-generation variants, including JN.1 and KP.3.1.1. Despite differences in demographics and exposure risk, both groups showed parallel variant evolution. These findings reflect global and regional patterns and highlight the dynamic nature of SARS-CoV-2 circulation in Lebanon. IMPORTANCE: This study provides a comprehensive snapshot of SARS-CoV-2 variant evolution in Lebanon between 2022 and 2024, focusing on healthcare workers and hospitalized patients. By combining genomic and clinical data, it reveals how successive Omicron subvariants emerged and spread within key population groups. The detection of diverse and evolving lineages, including XBB recombinants and next-generation variants such as JN.1, underscores the ongoing antigenic drift of SARS-CoV-2. These insights reinforce the value of continued genomic surveillance for pandemic preparedness, especially in regions where data remain limited. Understanding local variant dynamics can guide targeted vaccination strategies and health policy decisions.

Humans↗