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9 recordsLinked to original sources
PubMed2026

Genomic Characterization of Influenza B Victoria Lineage Viruses Circulating in Saudi Arabia During the 2024-2025 Season.

Influenza B viruses contribute substantially to global morbidity and mortality, yet genomic data from the Middle East remain limited. We retrospectively performed whole-genome sequencing of six influenza B virus-positive residual nasopharyngeal specimens collected at King Abdulaziz Medical City, Riyadh, during the 2024-2025 season, including one fatal pediatric case, and described their genomic features alongside clinical outcomes. All six genomes belonged to the B/Victoria lineage and clustered within V1A.3a.2-derived subclades circulating globally during 2024-2025. Five genomes, including the fatal pediatric case, were assigned to subclade C.5.6, whereas one non-fatal case belonged to C.5.7. The Saudi sequences were interspersed among contemporaneous reference strains from Europe, Asia, and North America, without evidence of a distinct local lineage. The fatal isolate did not occupy a distinct phylogenetic position and contained none of the screened virulence-associated markers, including the neuraminidase N342K substitution. These genomes provide regional surveillance data from an underrepresented setting. Given the small sample size and inclusion of a single fatal case, the findings are descriptive and do not permit inference regarding genomic determinants of disease severity. Larger studies integrating viral genomic, clinical, and host data are needed.

Humans↗
PubMed2026

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 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↗
PubMed2026

The public health utility of whole genome sequencing: Insights from a tuberculosis outbreak in Australia and perspectives of public health professionals.

Whole Genome Sequencing (WGS) is increasingly being used to enhance tuberculosis (TB) surveillance and management. However, evidence on how WGS shapes real-world decision-making remains limited. This study explored the utility of WGS in the context of a TB outbreak in Victoria, Australia. We conducted a case study to (1) describe a TB outbreak in Victoria using epidemiological and genomic data and (2) explore the perceived benefits and limitations of WGS through qualitative interviews with laboratory and public health professionals involved in the investigation. The interviews were analysed thematically. From 2017 - 2023, 36 people were linked to a large lineage 4 TB outbreak comprising 3 sub-clusters. WGS connected two patients who were initially not epidemiologically linked to the outbreak, prompting additional contact screening at a medical clinic. From interviews with 10 laboratory and public health professionals, WGS was considered a useful tool, although there was a gap between its potential and realised utility. WGS strengthened confidence in suspected transmission links, which was particularly valuable when epidemiological evidence was sparce or uncertain. This was relevant in this investigation where TB stigma, a prolonged timeframe, and cross-jurisdictional transmission were challenges. Barriers to public health action from WGS included long turnaround times, difficulties drawing conclusions from identical isolates, and uncertainties around public health follow-up actions. This case study demonstrates that WGS can inform meaningful public health action, while also identifying opportunities to improve its utility. WGS for public health should involve real-time sequencing along with steps to support the translation of findings into actions such as action-focused WGS training, mechanisms to support consistent follow-up, and improved record-keeping systems.

Journal Article↗
PubMed2025

PathoSeq-QC: a decision support bioinformatics workflow for robust genomic surveillance.

MOTIVATION: Recommendations on the use of genomics for pathogens surveillance are evidence that high-throughput genomic sequencing plays a key role to fight global health threats. Coupled with bioinformatics and other data types (e.g., epidemiological information), genomics is used to obtain knowledge on health pathogenic threats and insights on their evolution, to monitor pathogens spread, and to evaluate the effectiveness of countermeasures. From a decision-making policy perspective, it is essential to ensure the entire process's quality before relying on analysis results as evidence. Available workflows usually offer quality assessment tools that are primarily focused on the quality of raw NGS reads but often struggle to keep pace with new technologies and threats, and fail to provide a robust consensus on results, necessitating manual evaluation of multiple tool outputs. RESULTS: We present PathoSeq-QC, a bioinformatics decision support workflow developed to improve the trustworthiness of genomic surveillance analyses and conclusions. Designed for SARS-CoV-2, it is suitable for any viral threat. In the specific case of SARS-CoV-2, PathoSeq-QC: (i) evaluates the quality of the raw data; (ii) assesses whether the analysed sample is composed by single or multiple lineages; (iii) produces robust variant calling results via multi-tool comparison; (iv) reports whether the produced data are in support of a recombinant virus, a novel or an already known lineage. The tool is modular, which will allow easy functionalities extension. AVAILABILITY AND IMPLEMENTATION: PathoSeq-QC is a command-line tool written in Python and R. The code is available at https://code.europa.eu/dighealth/pathoseq-qc.

Genomics↗
PubMed2026

Generation of two induced pluripotent stem cell lines from dilated cardiomyopathy patients with TTN mutations.

Titin (TTN) encodes the largest protein in the human body and is essential for sarcomere assembly and muscle mechanosensation. Truncating TTN mutations are a leading cause of dilated cardiomyopathy (DCM). Here, we generated two induced pluripotent stem cell (iPSC) lines from female DCM patients, each carrying a heterozygous nonsense point mutation that produces a truncated titin protein. Both lines were reprogrammed from peripheral blood mononuclear cells (PBMCs) and characterized for expression of undifferentiated human iPSC state markers, tri-lineage differentiation capacity, and genomic integrity by copy-number analysis. These lines provide a patient-derived platform for investigating the mechanobiological basis of titin-truncation DCM in vitro.

Humans↗
PubMed2025

Genetic diversity of Murray Valley encephalitis virus 1951-2020 identified via phylogenetic and evolutionary analyses.

Murray Valley encephalitis virus (MVEV) is a mosquito-borne orthoflavivirus endemic to Australia that can cause fatal neurological disease. The enzootic focus of MVEV is believed to reside in northern Western Australia (WA). We sequenced whole genomes of 70 MVEV sampled over 51 years, 1969-2020, from locations across Australia and Papua New Guinea (PNG) and identified greater MVEV diversity than previously recognized. Genotype 1 (G1) demonstrated greatest intra-genotype diversity and was predominant over the sampling period with sub-lineage G1B circulating in WA and seeding activity across Australia. G1A included viruses sampled across northern WA, as well as the Northern Territory (NT). A newly identified sub-lineage G1C circulated in northern WA in 1993 and was detected again in 2003. G2 viruses were distributed across the Kimberley and Pilbara regions of northern WA, and in the NT. Although no new G3 and G4 viruses, previously identified only in PNG, were detected in the present study, other MVEV originating in PNG clustered with G1A. We confirm MVEV is enzootic in northern WA, with transmission occurring more frequently and across a wider geographical area than previously recognised. Additionally, we identify evidence of regular genotype replacement that has occurred over many decades where the major genotypes G1 and G2 have circulated in northern WA since the late 1960s. We also show that WA MVEV likely seeded an MVE outbreak in Victoria in 1974, further supporting the notion that the enzootic focus of MVEV lies in northern WA. Recent increases in MVEV detections, MVE cases and deaths in WA and across Australia highlight the need for enhanced surveillance and more frequent sampling to understand viral origin and genomic diversity, to identify potential virulence motifs, and to understand the ecological drivers that determine emergence of MVEV in northern WA and movement of MVEV across the country.

Encephalitis Virus, Murray Valley↗
PubMed2026

Patient-derived models of prostate cancer: Capturing tumour complexity from initiation to metastasis.

Prostate cancer is a growing global health challenge. To identify new ways to improve patient care, researchers need a variety of preclinical models that faithfully recapitulate human tumours across the disease continuum, from initiation to metastasis. These complementary models include primary cultures of prostate epithelial cells (PrECs), co-cultures, patient-derived explants (PDEs), patient-derived organoids (PDOs) and patient-derived xenografts (PDXs). Collectively, these models enable researchers to study tumour biology and therapeutic responses in clinically relevant contexts. Yet, there is still a need to improve the fidelity of preclinical models to human tumours by integrating diverse cell types from the tumour microenvironment and mimicking biomechanical features. By improving culture methods with matrix components that resemble the tumour microenvironment and new formulations of media that imitate human plasma, in vitro models will more accurately reflect human physiology, nutrient availability, and metabolism. In time this may reduce the reliance on animal testing through organ-on-chip and related techniques. These more complex models are suited to more detailed experimental readouts, including single-cell and spatial analyses. Intravital imaging also enables dynamic visualisation of cell-cell interactions and treatment responses in vivo. Collectively, these approaches are facilitating a shift towards sophisticated models that capture patients' tumour heterogeneity, different cellular niches, and provide opportunities to carefully study tumorigenesis, metastasis, lineage plasticity, and therapy resistance. In this review, we discuss the current progress and future directions for patient-derived models of prostate cancer, highlighting how they can be generated, refined, characterised and shared to accelerate the worldwide effort in translational research.

Humans↗
PubMed2026

Dysregulated adult hippocampal neurogenesis in major depressive disorder.

Major depressive disorder (MDD) is associated with reduced hippocampal volume, altered connectivity and negative memory bias, suggesting disrupted hippocampal plasticity. Dysregulated adult hippocampal neurogenesis is a potential contributor, but its relevance in humans and role in MDD remain unclear. Here we investigated the molecular basis of hippocampal dysfunction in nonmedicated individuals with MDD by integrating analyses of neurogenic trajectories, cell-type- and subfield-specific gene expression, chromatin accessibility and protein expression. We identify a neurogenic lineage in the adult human hippocampal subgranular zone and provide evidence for a stalled neurogenic process in MDD, associated with transcriptional regulation, stress-related reprogramming and interferon signaling across developmental stages. Excitatory and inhibitory neurons show dysregulation of transcription factor networks affecting cell states. Cellular stress, excitatory-inhibitory imbalance, impaired synaptic plasticity, reduced metabolic capacity and immune activation, underlie impaired neurogenesis and reduced hippocampus circuit plasticity. Findings indicate genetic and epigenetic regulation of gene expression in MDD, and overlapping pathogenetic mechanisms with autoimmune, neurodevelopmental and neurodegenerative diseases. This work provides a new understanding of the pathogenesis of hippocampus-dependent cognitive symptoms in MDD and suggests potential therapeutic targets.

Journal Article↗
PubMed2025

Characterisation of a persistent SARS-CoV-2 infection lasting more than 750 days in a person living with HIV: a genomic analysis.

BACKGROUND: People who are immunocompromised can develop persistent SARS-CoV-2 infections. Several viral mutations accumulated during the course of such persistent infections have also been observed in prominent variants of concern (VOCs). Here, we characterise persistent infection and viral evolution of SARS-CoV-2 lasting more than 750 days in a person with advanced HIV-1 infection. METHODS: Between March, 2021, and July, 2022, eight clinical specimens were collected from a person living with HIV, neither receiving antiretroviral therapy nor virally suppressed, and presumed to have been initially infected with SARS-CoV-2 in mid-May, 2020. Viral RNA was extracted from each swab and an amplicon-based sequencing approach was used for genomic analysis of SARS-CoV-2. Variable sites were characterised at the consensus and subconsensus levels, and phylogenetic tools were applied to analyse viral evolution. Publicly available SARS-CoV-2 sequences from GenBank were leveraged to contextualise our sequenced samples and identify any potential evidence of transmission. FINDINGS: Genomes formed a monophyletic cluster in the B.1 lineage. 68 consensus and 67 subconsensus single nucleotide variants were observed over the course of infection. The intrahost clock rate remained similar to that of the interhost rate in contemporaneous community sequences (6·74 × 10-4 [95% credible interval 5·05 × 10-4 to 8·54 × 10-4] substitutions per site per year vs 6·11 × 10-4 [5·54 × 10-5 to 6·66 × 10-4]). Mutations grouped into two distinct subpopulations present throughout infection. 10 non-synonymous mutations in the spike protein gene were at positions in common with those defining the omicron lineage (BA.1 or BA.2), of which nine were present before November, 2021. Nine of 18 substitutions present throughout infection were rare in online databases, suggesting a lack of long transmission chains descending from this individual. INTERPRETATION: Convergent SARS-CoV-2 evolution, both in and outside the spike protein, observed in this study suggests parallels with the evolutionary process leading to emergence of the omicron VOC. The inferred absence of onward infections might indicate a loss of transmissibility during adaptation to a single host. Our results underscore the importance of appropriate treatment to cure persistent SARS-CoV-2 infections and monitoring them to understand how mutations contribute to viral adaptation. FUNDING: National Institute of General Medical Sciences of the National Institutes of Health, Centers for Disease Control and Prevention, the National Institute of Allergy and Infectious Diseases, MassCPR, and Morris Singer Foundation.

Humans↗