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PubMed2026

A smartphone-integrated plasmonic biosensor for amplification-free detection of African swine fever virus.

African Swine Fever Virus (ASFV) poses a catastrophic threat to global swine production, with recent outbreaks across Europe, Asia, and the Caribbean, significantly elevating the biosecurity risk to the United States' billion-dollar pork industry. Current diagnostic gold standards are laboratory-dependent and introduce critical delays in outbreak response. To address this gap, a plasmonic biosensor based on functionalized gold nanoparticles (GNPs) was developed for the rapid, amplification-free detection of ASFV. GNPs were surface-functionalized with 11-mercaptoundecanoic acid (MUDA) and combined in situ with ASFV-specific oligonucleotide probes targeting a conserved region of the p72 (B646L) gene. The detection mechanism relies on acid-induced aggregation: hybridization of target ASFV DNA to the probe generates a rigid duplex that shields the nanoparticles from acid-induced destabilization, maintaining a ruby-red color, whereas in the absence of target DNA the GNPs aggregate, producing a visible red-to-blue color shift. The optimized plasmonic biosensor demonstrated 100% analytical specificity, with no cross-reactivity against a panel of 19 non-target bacterial genomic DNA samples representative of the swine environment. Detection limits determined by the IUPAC 3σ criterion were 285 copies per reaction for Probe 1 and 402 copies per reaction for Probe 2, within the same order of magnitude as the qPCR reference assay run on the same dilution series (approximately 312 copies per reaction) under the experimental conditions used here. A smartphone-based Bio-Analytics App employing an RGB color-conversion algorithm served as a quantitative reader, yielding signal-to-noise ratios (S/N) that strongly correlated with benchtop spectrophotometric readings (A520/A620 ratio, R2 = 0.96) and achieved diagnostic concordance with qPCR binary calls. This platform offers a robust and low-cost (∼$2 per test), amplification-free approach to ASFV screening with potential for point-of-need deployment, subject to future validation in clinical specimens.

Journal Article↗

PubMed2026

Ribosomal protein S3: a critical regulator of human disease mechanisms.

Ribosomal protein S3 (RPS3) is an essential structural component of the 40S ribosomal subunit, yet growing evidence highlights crucial extraribosomal roles in genome maintenance, cell-cycle control, and immune signaling. Dysregulation of RPS3 contributes to diverse human disorders, including cancer, inflammatory diseases, neurodegeneration, and resistance to antimicrobial and anticancer therapies. As a cofactor of NF-κB and a participant in DNA damage responses, RPS3 occupies a node that integrates stress signaling with transcriptional reprogramming, enabling both protective and pathological outcomes. The present review critically evaluates mechanistic insights into RPS3 biology, emphasizing recent findings that delineate its context-dependent effects, discrepancies across models, and remaining gaps that restrict translational applications. Understanding these complexities is essential to assess RPS3's potential as a biomarker and therapeutic target.

Humans↗

PubMed2026

Proteomic profiling reveals that DPP4 overexpression increases cell adhesion, inhibits cell migration, and restores androgen sensitivity in prostate cancer.

Dipeptidyl peptidase-4 (DPP4), a serine protease with both enzymatic and non-enzymatic roles, has emerged as a context-dependent modulator of tumor progression. In the present study, we investigated the expression and function of DPP4 in androgen-sensitive and castration-resistant prostate cancer (CRPC) models. Proteomic analysis of androgen-resistant prostate cells overexpressing DPP4 identified the involvement of the cellular adhesion molecules pathway. In prostate cells, lentiviral-mediated DPP4 overexpression restored androgen receptor signaling, inhibited epithelial-to-mesenchymal transition, and reduced cell migration, whereas DPP4 silencing produced the opposite effects. We demonstrate that DPP4 expression is down-regulated in CRPC cells and that treatment with capsaicin (CAP), a bioactive compound derived from red peppers, restores DPP4 expression. Moreover, DPP4 restoration by CAP suppresses prostate tumorigenesis in the TRAMP mice in vivo model of prostate cancer. Our results suggest that DPP4 could be a new target for CRPC.

Male↗

PubMed2026

A proteomic analysis of the PHF-forming tau fragment (tau297-391) following uptake into differentiated human neuronal SHSY5Y cells.

Tau self-assembly and intracellular deposition are associated with a group of neurodegenerative diseases called tauopathies, which include Alzheimer's disease (AD) and Pick's disease. Here, we measured the proteome response in human neuronal cells (differentiated SH-SY5Y) following the addition of a spontaneously amyloidogenic region of tau known as dGAE (tau297-391), which forms AD-like paired helical filaments in vitro, and proteomic analysis showed increased endogenous tau expression. Further interactome analysis uncovered increased association between tau and proteins associated with nuclear chromatin, the nucleolus, and the spliceosome, as well as the thiol-peroxidase, PRDX6, alongside an increase in reactive oxygen species. The present work highlights a method to identify proteome pathways that may play an important role in the development of tau pathology and reveals an oxidative stress response to dGAE.

Humans↗

PubMed2026

RHAMM drives formation of polyploid cancer cells and confers resistance to ER-targeted therapy in breast cancer.

Endocrine resistance in ER+ breast cancer remains a major clinical challenge. Here, we identify RHAMM as a key driver of resistance by orchestrating polyploid cancer cell (PCC) formation. Single-cell transcriptomics uncovered a G2/M-enriched, RHAMM+ subpopulation in endocrine-resistant tumors. Mechanistically, RHAMM binds Septin9/10 to promote aberrant cytoskeleton polymerization, activating YAP independent of Hippo signaling, which induces cytokinesis failure and facilitates PCC generation. Concurrently, RHAMM destabilizes p21 mRNA, enabling cell cycle progression despite genomic instability. The RHAMM-p21 axis serves as a bypass mechanism supporting polyploidization. Upon endocrine treatment, RHAMM is transcriptionally up-regulated by Slug. Clinically, RHAMMhigh signatures are enriched in metastatic and recurrent ER+ tumors and correlate with poor prognosis, highlighting its therapeutic relevance. Importantly, targeting RHAMM or YAP abrogates PCC formation and restores fulvestrant sensitivity. These findings reveal RHAMM-mediated polyploidization as an adaptive mechanism underlying endocrine resistance, suggesting the therapeutic potential of targeting the RHAMM-YAP axis.

Humans↗

PubMed2026

Bacterial stress responses lower mRNA-protein level correlations.

Diverse bacterial pathogens have evolved complex regulatory mechanisms to adapt to various environmental stresses during infection. The uncertainty in mRNA-protein levels in response to environmental stressors complicates our understanding of bacterial physiology and their adaptation to stressful environments. To examine this issue, we have integrated transcriptomics and proteomics data on three human bacterial pathogens: Salmonella enterica Typhimurium, Yersinia pseudotuberculosis, and Staphylococcus aureus under 10 infection-relevant stress conditions. We observed positive correlations between mRNA and protein levels, which were decreased under different stress conditions. Essential genes exhibited higher expression levels with lower variation across the conditions and stronger mRNA-protein correlations compared to nonessential genes, highlighting their critical role in bacterial adaptability and survival. Moreover, we identified a substantial number of genes with stress-induced noncorrelating mRNA-protein levels, particularly under conditions triggering strong stress responses. Particularly this level was dramatically lowered for osmotic stress-specific genes affected by impaired translational activity under osmotic stress. Our findings highlight the prevalence of noncorrelating mRNA-protein levels and the potential role of posttranslational modifications in modulating protein levels in response to environmental stressors during infection. This study provides a comprehensive framework for integrating transcriptomics and proteomics data and identifies potential gene products that might significantly impact the ability of diverse bacterial pathogens to adapt to hostile infection environments.

RNA, Messenger↗

PubMed2026

Estimating protein isoform abundances with [Formula: see text].

A single gene can encode multiple versions of a protein, dubbed isoforms, with varying functionality. Cellular control of isoform abundances is critical for multiple aspects of biology and is only partially regulated by transcript levels. While long-read sequencing facilitates transcript quantification, quantifying the resulting protein isoforms on a large scale is a major challenge, complicating biological interpretation of transcript alterations. Standard "bottom up" mass spectrometry can assess only short portions of isoforms called peptides, and these peptides often map onto more than one isoform. We introduce [Formula: see text] (Protein isoform Abundance Quantification), a Bayesian method that leverages multiomic information from the peptidome and transcriptome to provide accurate estimates of isoform abundance even when peptide mapping is ambiguous. [Formula: see text] offers several advantages over existing methods in a unified framework. It provides uncertainty quantification, integrates multiomic information for improved accuracy, and provides a rigorous framework for hypothesis testing. Extensive simulations show that [Formula: see text] consistently outperforms competing methods in detecting differentially abundant protein isoforms and estimating their abundances. We use [Formula: see text] to investigate differences in isoform abundance levels between people with schizophrenia and control subjects, confirming a long-held hypothesis that levels of the C4A isoform of Complement Component 4 are increased in schizophrenia while C4B is not. These results demonstrate that [Formula: see text] can identify significant variations in isoform abundance levels not previously possible.

Protein Isoforms↗

PubMed2026

Unraveling the epidemiological and dispersal dynamics of the 2024-2025 chikungunya virus epidemic on Réunion Island.

Réunion Island experienced a massive chikungunya virus epidemic in 2024-2025, with >54,000 confirmed cases. This is the second major chikungunya epidemic on the island, following the first one that peaked 20 years ago. It has been asserted that this new outbreak finds its origin in a single introduction event into the island, offering an opportunity to exploit viral genomic data to understand the epidemiological and dispersal dynamics of the introduced transmission chain. We sequenced >3,000 viral genomes collected during the epidemic. Harnessing this genomic dataset, we used several phylogeographic and phylodynamic approaches to unravel the paths taken by the transmission chain and the external factors that might have impacted its dispersal and epidemiological dynamics on the island. Our analyses highlight a dispersal pattern in line with a gravity-model dynamic with viral transition events being more frequent from and toward more populated areas. Our analyses reveal that the transmission chain was overall spatially intermixed, with frequent exchanges among residential areas. In addition, we show that the temporal dynamic and intensity of the epidemic were associated with climatic variables, namely temperature and precipitation. Our results also show that in theory, the population immunity-resulting from this epidemic and the previous one (2005-2006)-could be sufficient to explain on its own the decrease in the transmission rate that led to the end of the epidemic. While a short-term resurgence cannot be excluded, the risk of a large-scale circulation of the virus in the human population appears therefore relatively limited in the upcoming seasons.

Reunion↗

PubMed2026

Genomic characterisation and lytic potential of phage SF01 against multidrug-resistant Salmonella enterica subsp. enterica, a key agent of infection in poultry.

1. Salmonella enterica remains the key cause of salmonellosis in poultry, causing high morbidity and mortality. Due to the unprecedented resistance of S. enterica to antibiotics, bacteriophages have emerged as a powerful alternative to conventional antibiotics treatment for salmonellosis.2. In this study, a strain was isolated from infected broiler chickens and whole-genome sequencing (WGS) identified the strain SFD-01 as S. enterica subsp. enterica. Bioinformatics analyses revealed that the genome was 4.6 Mb in size with 4559 coding sequences (CDS), 77 tRNAs and 4 rRNAs. Additionally, 119 virulence genes, 125 antimicrobial resistance genes, 5 mobile genetic elements, 2 prophages and multiple copies of pathogenicity islands (SPI) were identified in the genome.3. To address this, bacteriophage SF01 was isolated from wastewater near a chicken slaughterhouse against host strain SFD-01. Transmission electron microscopy revealed that the phage had an 85-nm icosahedral head and a 130-nm long contractile tail. The Felixounavirus SF01 exhibited high stability across pH 3-9. Phage lytic activity at a multiplicity of infection of 0.01 restricted the bacterial growth.4. Whole genome analysis (WGS) identified phage SF01 as a Felixounavirus with 88-kb genome composed of 174 CDS, 20 tRNA genes and with no lysogenic markers, resistance genes or virulence factors. The strict lytic potential of phage SF01 makes it a highly viable option for use in the potential biocontrol of the novel strain S. enterica subsp. enterica serotype 42:z4,z23.

Felixounavirus↗

PubMed2026

Genetic evidence supports the prioritization of CD40 among prespecified immune-related candidate drug targets in myasthenia gravis.

AIM: To prioritize prespecified immune-related candidate drug targets in myasthenia gravis for further validation based on integrated genetic evidence. METHODS: We integrated drug-target Mendelian randomization (MR) using cis-expression quantitative trait loci (cis-eQTLs), protein-level MR of plasma CD40 abundance using plasma protein quantitative trait loci (pQTLs), and colocalization analyses to evaluate genetically proxied associations with overall MG, early-onset myasthenia gravis (EOMG), and late-onset myasthenia gravis (LOMG). RESULTS: In this study, CD40 showed the most consistent genetic evidence among the six prespecified targets. Effect estimates are reported as odds ratios (ORs) with 95% confidence intervals (CIs). Higher CD40 expression proxied by cis-eQTLs was associated with increased risk of overall MG (OR = 1.14, 95% CI: 1.05-1.24, Bonferroni-adjusted p = 0.022) and EOMG (OR = 1.32, 95% CI: 1.12-1.56, Bonferroni-adjusted p = 0.015). Genetically predicted higher plasma CD40 protein abundance was associated with increased overall MG risk (OR = 1.31, 95% CI: 1.08-1.57, Bonferroni-adjusted p = 0.010), whereas the protein-level MR result for EOMG was directionally consistent but not statistically significant. Colocalization analysis provided suggestive but not definitive evidence of colocalization between CD40 expression and EOMG risk. FCGRT, IL2RA, and SYK showed additional exploratory MR signals requiring further validation. CONCLUSION: CD40 showed the most consistent genetic support among the prespecified targets, supporting its prioritization for functional validation and further therapeutic investigation in MG.

CD40↗

PubMed2026

Salivary duct carcinoma- contemporary nuts and bolts from pathologist perspective.

INTRODUCTION: Salivary gland carcinomas are highly heterogeneous malignancies that present a complex variety of histological features and distinct clinical behaviors, with salivary duct carcinoma (SDCa) as the most clinically severe and aggressive subtype. The standard of care for these patients is a combined approach of surgery followed by radiotherapy. The aggressive clinical course of SDCa is primarily driven by frequent disease recurrences and systemic spread. AREAS COVERED: The publication of WHO 5th Classification of Head and Neck tumors has sparked a surge in research targeting SDCa. Owing to the highly aggressive behavior of the tumor, most literature heavily emphasizes the molecular pathology of SDCa.A systematic literature search was conducted using the PubMed with the following search terms: salivary duct carcinoma AND pathology OR updates OR molecular OR signaling pathway OR gene expression OR mutation OR oncogene OR tumor suppressor OR DNA methylation OR tumor microenvironment. Results were limited to primary research articles in English language. EXPERT OPINION: This article outlines key advancements in SDCa morphology, molecular pathology, and targeted therapies. Patient management in precision oncology will be fundamentally transformed by the classification of new morphologic subtypes, the discovery of molecular biomarkers, and an enhanced comprehension of tumor microenvironment.

HER 2↗

PubMed2026

Culture-free genomics: a shift toward genome-wide applications in Chagas disease and leishmaniasis.

INTRODUCTION: Chagas disease and leishmaniasis remain major neglected tropical diseases, with diagnosis and surveillance constrained by low parasite burden, multiclonal infections, and complex parasite biology. Traditional culture-dependent and targeted molecular approaches fail to capture the full genomic diversity of Trypanosoma cruzi and Leishmania spp. limiting clinical and epidemiological utility. AREAS COVERED: We review the evolution from early sequencing to second- and third-generation platforms, highlighting culture-free detection and genomic surveillance. We discuss enrichment strategies (selective whole-genome amplification (SWGA) and capture-enrichment sequencing (CES)) addressing low parasite DNA abundance in complex samples, alongside metagenomics and portable sequencing for field-based surveillance and diagnostics. We further explore how direct-from-host data can improve diagnostics, enhance transmission surveillance, support treatment monitoring, and guide control strategies. EXPERT OPINION: Culture-free genomic approaches represent a transformative advance in kinetoplastid research, providing resolution that culture-dependent methods cannot deliver. Their diagnostic contribution is at present largely indirect, operating through the identification of improved molecular and serological targets rather than through sequencing as the assay itself. Persistent barriers of cost, infrastructure, standardization, and bioinformatics capacity, together with the absence of formal clinical validation, currently confine these methods to research and surveillance settings.

Capture-enrichment sequencing↗

PubMed2026

Global vaccine readiness: equity-by-design in pandemic preparedness and response.

INTRODUCTION: COVID-19 showed that rapid vaccine development and roll-out, while lifesaving, can still yield large, avoidable harms when equity is not considered from the outset. Disparities in vaccine timing and coverage, especially in low-resource settings, amplified health and economic burdens, highlighting the need for preparedness frameworks that combine speed with fairness. AREAS COVERED: We synthesize evidence from literature and policy reports regarding global vaccine roll-out, focusing on avertable mortality under alternative sharing scenarios, procurement design, pooled mechanisms such as COVAX, and the role of distributed manufacturing and delivery capacity. We also examine how transparent data-sharing, effective public communication, genomic surveillance, adaptive trial designs, and modeling hubs can support more responsive and equitable vaccine deployment. Across six reflection points, we translate these lessons into practical priorities for future pandemic readiness, including strengthening healthcare infrastructure, equitable procurement, data transparency, and safeguarding public health decision-making from political and commercial distortion. EXPERT OPINION: We argue that equity-by-design is essential if vaccine innovation is to deliver equitable public health impact. This requires geographically distributed manufacturing, transparency, equity-conditioned advance purchase agreements, and pre-agreed, epidemiology-triggered allocation of vaccines. We recommend institutionalizing disaggregated reporting, standardized data-sharing, greater pathogen genomic sequencing capacity, and communication strategies that support public health protection while countering misinformation.

Humans↗

PubMed2026

HyLnc: a hybrid deep learning and feature-based approach for long non-coding RNA prediction.

Long non-coding RNAs (lncRNAs) play important roles in gene regulation, development and disease, yet accurate identification of lncRNAs from transcriptomic data remains a major computational challenge. Existing methods often rely either on handcrafted sequence features or deep learning approaches, each with their inherent limitations in capturing the full complexity of RNA sequences. In this study, we proposed HyLnc, a computational framework that integrates transformer-based contextual embeddings with biologically meaningful sequence features for improved lncRNA prediction. A custom BERT-based model was first pre-trained on a large corpus of metazoan RNA sequences using a masked language modelling strategy to learn contextual nucleotide dependencies. The model was subsequently fine-tuned on curated datasets of lncRNAs and protein-coding transcripts and 256-dimensional deep sequence embeddings were extracted. Parallelly, 348 handcrafted features, including ORF characteristics, untranslated region (UTR) properties, nucleotide composition and Fickett scores, were computed. A multi-stage feature selection strategy was applied to identify the most informative features, resulting in optimized hybrid feature sets. Multiple machine learning classifiers were evaluated, with the RF model achieving the best performance. The proposed framework attained an accuracy of 91.30%, F1-score of 91.23% and MCC of 82.60 on an independent validation dataset, outperforming several existing lncRNA prediction tools. Thus, HyLnc demonstrates that integrating deep contextual representations with biologically interpretable features enhances lncRNA prediction. This approach provides a robust and scalable solution for large-scale transcriptome annotation and can be extended to other sequence-based prediction.

RNA, Long Noncoding↗

PubMed2026

Intravenous Tranexamic Acid Reduces Perioperative Blood Loss in Reduction Mammoplasty With Immediate Implant-Based Reconstruction: A Randomized, Triple-Blinded, Placebo-Controlled Trial.

BACKGROUND: Postoperative hematoma and oozing can compromise outcomes after reduction mammoplasty with immediate reconstruction. Intravenous (IV) tranexamic acid (TXA) is antifibrinolytic, but prospective evidence in this setting is limited. OBJECTIVES: The aim of this study was to determine whether a single pre-incision dose of IV TXA reduces perioperative blood loss and fibrinolytic activation vs placebo. METHODS: In this randomized, triple-blinded, placebo-controlled trial, 60 women (American Society of Anesthesiologists I/II, 18-75 years) undergoing bilateral reduction mammoplasty with immediate implant-based reconstruction received TXA 10 mg/kg in 100 mL saline or placebo 10 min before incision. The primary outcome was total blood loss within 24 h (intraoperative suction + swab plus drain output). Secondary outcomes were perioperative changes in hemoglobin, D-dimer and fibrinogen, and complications within 30 days. Intention-to-treat analyses were performed. RESULTS: All patients completed follow-up. Total blood loss was lower with TXA than with placebo (mean ± standard deviation: 221.1 ± 72.4 vs 298.1 ± 90.6 mL; mean difference -77.0 mL; 95% CI, -122.4 to -31.6; P = .001). Intraoperative loss and 24 h drain output were also reduced. Postoperative D-dimer rise was attenuated with TXA (0.31 ± 0.15 vs 0.49 ± 0.22 µg/mL; P = .002); hemoglobin decline was smaller. No thromboembolic, neurologic, or allergic events occurred; no skin-flap necrosis was observed. CONCLUSIONS: Pre-incisional IV TXA safely reduces perioperative bleeding and fibrinolytic activity after reduction mammoplasty. These findings support incorporation of IV TXA into perioperative protocols. LEVEL OF EVIDENCE: 2 (THERAPEUTIC): For image description, please refer to the figure legend and surrounding text.

Humans↗

PubMed2026

An Overview of Red Breast Syndrome: A Qualitative Systematic Review of the Literature and a Single-Center Case Series.

Red breast syndrome (RBS) is an uncommon inflammatory complication that may occur following implant-based breast reconstruction and can clinically mimic surgical-site infection. This qualitative systematic review, based on comprehensive PubMed and Scopus searches, summarizes the existing literature on RBS, focusing on its etiology, clinical presentation, diagnostic characteristics, and therapeutic approaches following breast reconstruction using acellular dermal matrices (ADMs). A management protocol is proposed based on available data, and a single-center case series is presented from our Hospital, including patients who developed RBS after direct-to-implant reconstruction with ADM between January 2022 and December 2024. Twenty-nine studies met the inclusion criteria, comprising case reports, case series, and retrospective or prospective cohort studies. The reported incidence of RBS ranged from 0% to 29.6%. Proposed etiologies include endotoxin contamination, residual cellular debris, delayed hypersensitivity reactions, and lymphatic or vascular impairment of mastectomy flaps. Most reports described localized erythema confined to the area of the ADM, with normal inflammatory markers and negative imaging findings, whereas antibiotic therapy frequently failed to achieve improvement. Corticosteroids represented the most consistently effective treatment, although some cases required ADM removal or replacement. In our institutional case series (n = 8), symptom onset occurred between 4 weeks and 7 months postsurgery. Inflammatory markers remained within normal limits, imaging rarely demonstrated fluid collections, and symptoms resolved within days to weeks with corticosteroid therapy or conservative management. This review consolidates current evidence, proposes a diagnostic-therapeutic algorithm and highlights the need for prospective investigations and manufacturer-level endotoxin testing to elucidate pathogenesis and optimize clinical management. Level of Evidence: 2 (Risk) For image description, please refer to the figure legend and surrounding text.

Humans↗

PubMed2026

Current Concepts and Emerging Technologies in Aesthetic Outcome Assessment of Breast Reconstruction.

Aesthetic outcomes are a crucial determinant of the overall success of breast reconstruction. Recently, aesthetic assessment has evolved from relying mainly on subjective impressions to incorporating more quantitative methods. This systematic review summarizes current concepts and emerging technologies in aesthetic outcome assessment after breast reconstruction. A comprehensive search of studies evaluating aesthetic outcomes following implant-based, autologous or hybrid breast reconstruction was performed between 2000 and 2025. Assessments were classified as subjective or objective. Extracted variables included assessment characteristics, aesthetic outcome domains, and patient-centered outcomes. Risk of bias was assessed using the Joanna Briggs Institute Critical Appraisal Checklist. Levels of evidence were classified according to the Oxford Centre for Evidence-Based Medicine. A total of 51 studies involving 7711 participants from 16 countries were included. Subjective tools were most frequently employed, led by the BREAST-Q (35/51, 69%), followed by expert- or panel-based evaluations (17/51, 33%) and the visual analog scale (2/51, 4%). Objective methods were applied in 19 studies and included 3-dimensional surface imaging (8/51, 16%), BCCT.core (7/51, 14%), eye tracking (3/51, 6%), and artificial intelligence-based analyses (3/51, 6%). Although subjective tools captured satisfaction with breast appearance, objective tools quantified morphological parameters and positional landmarks. BREAST-Q remains the cornerstone of outcome evaluation after breast reconstruction, providing patient-centered perspectives, including, but not limited to, aesthetic perception. A progressive shift toward multimodal evaluation was noticed, as no single modality comprehensively addressed all aesthetic domains. Future research should focus on integrating subjective and objective assessment methods within a unified framework. Level of Evidence: 3 (Therapeutic) For image description, please refer to the figure legend and surrounding text.

Humans↗

PubMed2026

Perseus: Lineage-Aware Refinement of Kraken2 Taxonomic Classification for Long Read Metagenomes.

MOTIVATION: Long-read metagenomic sequencing improves assembly contiguity and enables genome-resolved analysis of complex microbial communities, but accurate taxonomic classification of long reads and assembled contigs remains challenging. Highly scalable k-mer-based classifiers such as Kraken2 frequently over-assign fine-rank taxonomic labels when applied to long-read data, producing high false positive classification rates driven by sparse or localized k-mer matches, particularly in microbiomes with extensive taxonomic novelty. RESULTS: We present Perseus, a lineage-aware confidence estimation framework for taxonomic classification that models the spatial distribution and hierarchical consistency of k-mer evidence along sequences. This formulation reframes taxonomic classification as a hierarchical confidence estimation problem rather than a single-rank prediction task. Perseus refines k-mer-level taxonomic signals from Kraken2 using a multi-headed convolutional neural network that estimates calibrated confidence scores for taxonomic correctness at each canonical rank. Using these estimates, Perseus confirms assignments, backs off to higher taxonomic ranks, or abstains when evidence is insufficient, prioritizing correctness and lineage consistency over overly specific assignments. Across simulations of taxonomic novelty and real-world metagenomic datasets, Perseus consistently and substantially reduces the false assignment rate while improving precision and lineage-consistent accuracy. These improvements are most pronounced for long reads and assembled contigs, where spatial context enables reliable discrimination between consistent taxonomic signal and spurious matches. AVAILABILITY AND IMPLEMENTATION: Perseus integrates with existing Kraken2 workflows and is available at https://github.com/matnguyen/perseus.

Journal Article↗