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PubMed2026

Artificial intelligence in molecular diagnostics for pandemic preparedness.

INTRODUCTION: Molecular diagnostics focusing on the detection and analysis of nucleic acids are indispensable tools for early pathogen identification, transmission monitoring, and genomic surveillance during pandemics. Recent technological advances have broadened the diagnostic landscape, incorporating PCR-based methods, isothermal amplification, high-CRISPR-based amplification detection, and sequencing. Despite their diagnostic potential, widespread implementation remains limited by high validation costs, time and logistical constraints, the need for specialized professional knowledge, and a lack of adaptability in resource-limited settings. Artificial intelligence (AI) is increasingly recognized as a promising but challenging approach, offering tools that streamline assay development, automate data interpretation, and optimize real-time diagnostic performance. AREAS COVERED: This review introduces recently published AI tools with potential to enhance the in-silico design validation process of oligonucleotides for molecular assays. These cover tools for initial assay design and optimization to validation and continuous assay updates. The limitations, including concerns regarding data accuracy, the lack of transparency in data processing ('black box' models), and unresolved licensing and regulatory issues, are highlighted for each tool and as expert opinion. EXPERT OPINION: Collectively, these challenges currently confine most AI-based approaches to research settings and prevent their routine implementation in clinical molecular diagnostics. Their widespread adoption depends on addressing remaining technical, regulatory, and practical challenges.

Humans↗

PubMed2026

Molecular diagnostics and integrated management challenges of tobacco streak virus: Current status and future perspectives.

Tobacco streak virus (TSV) is an economically important viral pathogen causing severe yield and quality losses in several agricultural, horticultural and medicinal crops worldwide. Its complex epidemiology involving sap transmission, infected pollen and pollen-feeding thrips, together with symptom similarity to other necrosis-inducing pathogens, frequently results in misdiagnosis and delayed disease management. This review critically evaluates recent advances in TSV diagnostics and integrated disease management strategies. Particular emphasis is placed on the transition from conventional biological and serological assays to advanced molecular diagnostics including reverse transcription polymerase chain reaction (RT-PCR), quantitative real-time PCR, multiplex PCR and emerging isothermal amplification technologies such as recombinase polymerase amplification (RPA) and loop-mediated isothermal amplification (LAMP). The review also highlights emerging innovations including CRISPR/Cas-based diagnostics in addition, integrated management approaches involving phytosanitation, weed reservoir management, vector ecology-based, host resistance breeding, RNA interference (RNAi) and genome editing technologies are critically analysed. Major challenges including inadequate field validation, limited multiplex capability, poor assay standardization and scarcity of resistant cultivars are discussed. Future objectives to develop quick, field-adaptable and durable TSV detection and management methods are additionally discussed.

CRISPR/Cas diagnostics↗

PubMed2026

Molecular Diagnostics for WHO Priority Bacterial Pathogens: A Bibliometric Mapping of Diagnostic Platforms, Resistance Markers, and Antimicrobial Resistance Research Trends.

Antimicrobial resistance (AMR) constrains effective treatment and carries implications for infection control, surveillance, and public health. The World Health Organization (WHO) priority bacterial pathogen framework has intensified the need for diagnostic innovation by redefining research priorities around organisms combining high disease burden with complex resistance profiles. Molecular diagnostics have accordingly moved beyond culture-based workflows, integrating rapid pathogen identification, resistance-marker detection, genomic surveillance, and clinical decision support. The present study conducted a bibliometric mapping of the literature on WHO priority pathogens. Rather than addressing resistance at a general level or a single pathogen or technology, it integrates priority pathogens, molecular platforms, and resistance markers within a single framework, tracing their joint thematic and temporal evolution along an explicit pathogen-platform-marker axis. Scopus-indexed articles and reviews (2000-2025) were retrieved, yielding 1746 publications after screening adapted from the Preferred Reporting Items for Systematic Reviews and Meta-Analyses (PRISMA) guidelines. Analyses used Bibliometrix/Biblioshiny, R, and VOSviewer. The literature expanded markedly after 2018, led by China and the United States. Methicillin-resistant Staphylococcus aureus (MRSA), Mycobacterium tuberculosis, Enterococcus faecium, and the Enterobacterales-carbapenemase axis constituted the principal thematic cores, whereas conventional polymerase chain reaction (PCR)/nucleic acid amplification testing (NAAT) and whole-genome sequencing were the dominant platforms. Overall, the field has evolved from pathogen detection into an AMR-centered translational domain encompassing resistance prediction, genomic epidemiology, surveillance, and clinical decision support. Diagnostic development, stewardship, and surveillance depend on hybrid workflows coupling rapid marker-targeted assays with genome-based characterization, delivering actionable resistance within clinically meaningful timeframes, and extending coverage to underrepresented pathogens and platforms.

Humans↗

PubMed2026

Towards a Robust cell-free DNA Isolation Protocol for NGS Applications in a Clinical Molecular Diagnostics Setting.

Cell-free DNA (cfDNA), released from apoptotic and necrotic cells into body fluids, is a non-invasive source of genetic information for disease prediction, diagnosis, and monitoring. However, its low abundance makes cfDNA highly susceptible to various pre-analytical influences, potentially increasing high molecular weight (HMW) or genomic DNA (gDNA) compromising downstream cfDNA analyses. This study evaluated the impact of different cfDNA-stabilizing blood collection tubes (BCT; Cell-Free DNA BCT, Streck; S-Monovette cfDNA Exact, Sarstedt) stored at room temperature for 1, 5, or 10 days, prior to plasma isolation using different isolation methods (magnetic bead-based or silica column-based) on cfDNA stability and yield. DNA quantity and quality were assessed by fluorometric quantification, automated fragment analysis, and gene-specific quantitative PCR. Streck-based workflows maintained stable cfDNA yields and characteristic mononucleosomal fragmentation profiles across all storage times. In contrast, Sarstedt tubes showed reduced cfDNA concentrations after 5 days and a pronounced increase at 10 Days, accompanied by high-molecular weight DNA patterns consistent with white-blood cells (WBC) lysis. These trends were largely independent of the extraction method. Overall, the results demonstrate that blood collection tube chemistry critically influences cfDNA integrity during delayed processing. Streck tubes, particularly when combined with silica column-based isolation method, provided the most robust and reproducible workflow for routine molecular diagnostics, whereas Sarstedt tubes produced physiologically implausible results after extended storage.

blood collection tubes↗

PubMed2026

Molecular diagnostic tests for isoniazid-resistant tuberculosis: a scoping review.

The paucity of diagnostic tests for isoniazid-resistant tuberculosis is concerning, given its status as the most common form of drug-resistant tuberculosis and a gateway to multidrug-resistant diseases. Molecular drug-susceptibility testing has improved access to timely diagnosis of rifampicin-resistant tuberculosis, but testing for isoniazid-resistant tuberculosis still remains rare. In this Review, we assessed the characteristics of molecular drug-susceptibility testing for detection of isoniazid-resistant tuberculosis, referencing the WHO target product profiles. 9243 citations were screened to select 238 studies published between 2000 and 2024. The diagnostics options have expanded rapidly since 2020, with 27 nucleic acid amplification tests, eight line probe assays, five DNA microarrays, two targeted next-generation sequencing platforms, and two whole-genome sequencing platforms. Most of the evaluated molecular drug-susceptibility tests met diagnostic performance targets but were often complex and costly. Although a few low-complexity nucleic acid amplification tests met key target product profile criteria, additional field validation and greater efforts are needed to ensure optimal feasibility and affordability for low-resource settings.

Isoniazid↗

PubMed2024

Construction of a molecular diagnostic system for neurogenic rosacea by combining transcriptome sequencing and machine learning.

Patients with neurogenic rosacea (NR) frequently demonstrate pronounced neurological manifestations, often unresponsive to conventional therapeutic approaches. A molecular-level understanding and diagnosis of this patient cohort could significantly guide clinical interventions. In this study, we amalgamated our sequencing data (n = 46) with a publicly accessible database (n = 38) to perform an unsupervised cluster analysis of the integrated dataset. The eighty-four rosacea patients were partitioned into two distinct clusters. Neurovascular biomarkers were found to be elevated in cluster 1 compared to cluster 2. Pathways in cluster 1 were predominantly involved in neurotransmitter synthesis, transmission, and functionality, whereas cluster 2 pathways were centered on inflammation-related processes. Differential gene expression analysis and WGCNA were employed to delineate the characteristic gene sets of the two clusters. Subsequently, a diagnostic model was constructed from the identified gene sets using linear regression methodologies. The model's C index, comprising genes PNPLA3, CUX2, PLIN2, and HMGCR, achieved a remarkable value of 0.9683, with an area under the curve (AUC) for the training cohort's nomogram of 0.9376. Clinical characteristics from our dataset (n = 46) were assessed by three seasoned dermatologists, forming the NR validation cohort (NR, n = 18; non-neurogenic rosacea, n = 28). Upon application of our model to NR diagnosis, the model's AUC value reached 0.9023. Finally, potential therapeutic candidates for both patient groups were predicted via the Connectivity Map. In summation, this study unveiled two clusters with unique molecular phenotypes within rosacea, leading to the development of a precise diagnostic model instrumental in NR diagnosis.

Humans↗

PubMed2026

Molecular diagnostic yield and barriers in inherited retinal diseases: a retrospective cohort study.

OBJECTIVE: To evaluate the diagnostic yield of panel-based genetic testing for inherited retinal diseases (IRDs) and identify barriers to molecular resolution. DESIGN: Retrospective cohort. PARTICIPANTS: A total of 404 patients with clinically confirmed IRDs who were evaluated at the Adult Inherited Retinal Dystrophy Service, Ontario, Canada (October 2021-September 2024). METHODS: Patients underwent targeted massive parallel sequencing panel testing. Diagnostic yield was calculated, and unresolved cases were reviewed. Associations between yield, phenotype, ethnicity, and sex were assessed using χ² analysis. RESULTS: Of 685 referrals, 570 had confirmed IRDs. After we excluded 140 pending results and 26 patients who declined testing, 404 patients were analyzed. At referral, 94 patients (23.2%) had a previous molecular diagnosis, and 138 (34.0%) were diagnosed through clinic-initiated testing, giving an overall yield of 57.4%. Yield varied significantly by phenotype (χ², P = 1.4 × 10⁻⁶), from 94.4% in vitelliform macular dystrophies to 25.0% in vitreoretinopathies, with no sex association (P = 1.0). Disease-causing variants were identified in 83 IRD-associated genes, most frequently ABCA4, USH2A, and BEST1. Of 172 unresolved cases, 62 (36.0%) had negative panels, and 110 (63.9%) were inconclusive, including 30 with unphased pathogenic variants in recessive genes and 10 with high-suspicion variants of uncertain significance. Key barriers included limited family availability for phasing, restricted access to functional assays, and lack of public coverage for whole-exome or whole-genome sequencing. CONCLUSIONS: Massive parallel sequencing-based panel testing achieved a 57% diagnostic yield in this IRD population. Success was strongly phenotype-dependent with substantial heterogeneity. Whole-exome sequencing, whole-genome sequencing, family segregation, and functional genomics could improve diagnostic outcomes and management.

Humans↗

PubMed2026

A stratified urine-based molecular diagnostic and prognostic model for non-muscle-invasive bladder cancer management.

BACKGROUND: Non-muscle-invasive bladder cancer (NMIBC) is characterized by a high recurrence rate requiring lifelong cystoscopic surveillance. Existing urine-based molecular assays mainly rely on mutations or methylation, which fail to capture large-scale genomic instability. Copy number variation (CNV) profiling offers complementary information on tumor evolution and aggressiveness, but its application in urinary diagnosis remains limited. We aimed to integrate CNV and DNA methylation signals from urinary DNA to establish a noninvasive and biologically informed stratified diagnostic model for NMIBC recurrence surveillance and risk stratification. METHODS: Urine samples were prospectively collected from 91 patients (75 evaluable) between June 2021 and August 2023. Shallow whole-genome sequencing (sWGS) was used to detect CNVs at chromosomal arm and focal gene levels, while ONECUT2 promoter methylation was quantified by qPCR. Diagnostic and prognostic performance was evaluated by ROC analysis, Kaplan-Meier survival, and stratified recurrence assessment. RESULTS: We evaluated a stratified diagnostic model combining CNV and ONECUT2 methylation testing in a cohort of 79 patients. CNV analysis alone showed high specificity (0.923) for NMIBC diagnosis. A combined model, using CNV as an initial screen followed by ONECUT2 methylation testing in CNV-positive cases, achieved a sensitivity of 0.783, specificity of 0.981, and a negative predictive value (NPV) of 0.911. This approach reduced the number of required ONECUT2 tests by 35% and identified a high proportion of true-negative patients (98.1%), which may help reduce unnecessary cystoscopy procedures. The model also demonstrated significant prognostic value, with the molecularly defined high-risk group showing significantly shorter recurrence-free survival (RFS) than the low-risk group (median RFS: 4.33 months vs. not reached; p < 0.001). Additional, in patients with initially negative cystoscopy after urine sample collection, the model demonstrated a predictive accuracy of 0.922 for recurrence, with molecular positivity observed a median of 9.6 months prior to clinical diagnosis. CONCLUSIONS: Integrating CNV and DNA methylation profiling from urinary DNA provides a powerful and noninvasive molecular framework for NMIBC surveillance. By combining early epigenetic changes with genomic instability signals, this approach enhances recurrence risk assessment and enables earlier detection compared with conventional cystoscopy. It offers a practical route toward personalized and adaptive post-treatment monitoring of NMIBC. TRIAL REGISTRATION: NCT04994197.

Humans↗

PubMed2026

Understanding randomized controlled trial generalizability through an embedded molecular diagnostics trial.

BACKGROUND: Issues with randomized controlled trial generalizability are well described, but whether these issues result from differences in patient treatment across contexts remains unknown. We studied treatment of patients with high-risk prostate cancer after radical prostatectomy inside and outside a randomized controlled trial evaluating the impact of a genomic classifier on post-radical prostatectomy treatment decision making (Genomics in Michigan Impacting Observation of Radiation [G-MINOR]; ClinicalTrials.gov identifier NCT02783950). METHODS: G-MINOR enrolled 338 patients; propensity score-matched eligible but unenrolled patient cohorts (pretrial and trial contemporary) from the Michigan Urological Surgery Improvement Collaborative (MUSIC), in which the trial was embedded, were compared for rates and time to secondary treatment (adjuvant or salvage therapy) after prostatectomy. RESULTS: Among 338 patients in the G-MINOR cohort, 69 (31 adjuvant, 38 salvage) received secondary treatment compared with 266 (183 adjuvant, 83 salvage) and 104 (60 adjuvant, 44 salvage) in the 1014 contemporary and 338 pretrial-matched MUSIC cohorts. Time to secondary treatment was much shorter in the MUSIC cohort across all comparisons. For example, matching G-MINOR to synchronous MUSIC patients demonstrated 84% vs 74% estimated 2-year treatment-free survival for trial and real-world patients, respectively (P < .001). CONCLUSIONS: Controlling for key clinicopathologic factors, patients in the G-MINOR randomized controlled trial and MUSIC cohorts were treated differently, even after stratifying by genomic risk. These findings suggest that challenges in randomized controlled trial generalizability extend beyond the representativeness of trial participants. Differences in management may also explain why divergent patient outcomes are observed in randomized controlled trials vs real-world settings.

Aged↗

PubMed2026

Whole-Exome Sequencing in a Consanguinity-Enriched South Indian Retinitis Pigmentosa Cohort: Diagnostic Yield and Molecular Spectrum.

PURPOSE: To determine the molecular diagnostic yield, variant spectrum, inheritance architecture, and influence of consanguinity on whole-exome sequencing outcomes in a South Indian retinitis pigmentosa (RP) cohort. DESIGN: Prospective, registry-based cohort study. SUBJECTS: A total of 113 affected participants were enrolled through the Aravind Registry for Inherited Diseases of the Eye, including 109 unrelated probands and 4 affected relatives from already represented families. Primary analyses were restricted to the 109 unrelated probands. METHODS: Whole-exome sequencing was performed using a clinical exome workflow. Variants were interpreted using American College of Medical Genetics and Genomics/Association for Molecular Pathology criteria and cases were categorized as solved, possibly solved, inconclusive, or unsolved using prespecified inheritance-aware rules. MAIN OUTCOME MEASURES: Molecular diagnostic yield, distribution of implicated genes and variant classes, inheritance architecture, and diagnostic yield stratified by consanguinity status. RESULTS: Among the 109 unrelated probands, mean age at testing was 39.3 ± 14.1 years and 58.7% were male. Whole-exome sequencing identified 186 distinct rare variants across 92 inherited retinal disease genes, including 26 pathogenic and 33 likely pathogenic variants. A molecular diagnosis was established in 50 of 109 probands (45.9%), including 42 solved and 8 possibly solved cases; 45 (41.3%) were inconclusive and 14 (12.8%) remained unsolved, including 4 (3.7%) in whom no candidate variant was identified. EYS, USH2A, and ADGRV1 were the most frequently implicated genes. Autosomal recessive (AR) disease predominated (44/50, 88.0%). Consanguineous AR cases were exclusively homozygous (17/17); notably, 68.0% of nonconsanguineous AR cases were also homozygous (P = 0.013). Diagnostic yield was higher in consanguineous probands (51.4% vs. 41.7%), without reaching significance. Recurrent alleles included an established South Asian founder variant (MFSD8 c.1361T>C) and candidate founder alleles in EYS (c.4321C>T) and ADGRV1 (c.14329C>T). CONCLUSIONS: Whole-exome sequencing established a molecular diagnosis in nearly half of this South Indian RP cohort and revealed a predominantly recessive, homozygosity-enriched architecture shaped by consanguinity. These findings define a region-specific variant landscape to support clinical interpretation, genetic counseling, and future trial enrollment in this underrepresented population. FINANCIAL DISCLOSURES: The authors have no proprietary or commercial interest in any materials discussed in this article.

Consanguinity↗

PubMed2026

Carbapenem-resistant Gram-negative pathogens: molecular epidemiology, diagnostic advances, and emerging therapeutic strategies.

Carbapenem-resistant Gram-negative pathogens (CR-GNPs) have become an important global health problem, contributing significantly to healthcare-associated infections, extended hospital stays, high mortality rates, and higher healthcare costs. The dissemination of carbapenem resistance is mainly attributed to the spread of carbapenemase-encoding genes, such as the Klebsiella pneumoniae carbapenemase (KPC), the New Delhi metallo-β-lactamase (NDM), the Verona integron-encoded metallo-β-lactamase (VIM), the imipenemase (IMP), and the oxacillinase-48 (OXA-48)-like enzymes associated with clinically important Gram-negative pathogens, including Klebsiella pneumoniae, Escherichia coli, Acinetobacter baumannii, and Pseudomonas aeruginosa. As well as carbapenemase production, resistance can also develop via alteration of porins, upregulation of efflux pumps, and the buildup of several resistance factors, generating highly adaptable and hard-to-treat microbes. Phenotypic resistance patterns may not predict the underlying mechanism and accurate laboratory detection remains challenging. The identification and monitoring of carbapenem-resistant organisms have undergone improvement in recent years thanks to molecular diagnostics, rapid phenotypic tests, whole-genome sequencing and metagenomics. At the same time, new drugs have been developed, such as ceftazidime-avibactam, meropenem-vaborbactam, imipenem-relebactam, cefiderocol and combinations of aztreonam, offering increased treatment options, but with emerging resistance an issue. This mini review covers the molecular epidemiology of CR-GNPs, the latest developments and challenges in diagnosing these infections, new therapeutic options, and future perspectives on genomic surveillance, antimicrobial stewardship, and precision medicine strategies to address the increasing threat of carbapenem resistance.

Gram-negative pathogens↗

PubMed2026

Engineering CRISPR for Point-of-Care Tests.

CRISPR-based molecular diagnostics have emerged as powerful and programmable platforms that enable sensitive and specific detection for disease management and epidemiological surveillance. Advances in CRISPR engineering and assay design are driving the emergence of next-generation detection platforms that are highly sensitive, rapid, and amenable to field deployment. These engineering breakthroughs have the potential to reshape point-of-care tests (POCT) and transform how emerging and persistent health threats are monitored in decentralized and resource-limited settings. Herein, we systematically review the recent advancements in CRISPR engineering strategies aimed at improving detection sensitivity and specificity, eliminating the dependence on preamplification, and enabling robust POC deployment. The discussed strategies encompass both the rational engineering of CRISPR ribonucleoproteins (RNPs) and the optimization of downstream signaling modules for molecular diagnostic applications. We further highlight key challenges and future perspectives that may inspire impactful research directions and accelerate the advancement of CRISPR engineering strategies toward robust, field-deployable POCT platforms.

CRISPR-Cas Systems↗

PubMed2026

Heterogeneity of azithromycin resistance markers in Neisseria gonorrhoeae and challenges in implementing molecular assays for routine surveillance.

Neisseria gonorrhoeae is the second most prevalent bacterial sexually transmitted infection and a major contributor to the global antimicrobial resistance crisis. The World Health Organization (WHO) has designated N. gonorrhoeae as a high-priority pathogen due to its resistance to nearly all empirically recommended therapies. While dual therapy with ceftriaxone and azithromycin initially demonstrated efficacy, the rapid global rise in azithromycin resistance over the past five years threatens the efficacy of this regimen. Resistance mechanisms, including mutations in the 23S rRNA gene and overexpression of the MtrCDE efflux pump, are highly heterogeneous, complicating molecular diagnostic efforts. This review examines the evolving landscape of azithromycin resistance, highlighting key mechanisms of resistance, and recent epidemiological and genomic surveillance data. We discuss challenges in implementing molecular assays for routine resistance monitoring due to molecular heterogeneity in azithromycin resistance markers and emphasize the critical need for tailored approaches based on local genetic epidemiology. Enhanced surveillance and molecular diagnostics are essential to sustaining effective treatment strategies and combating gonococcal resistance.

Antimicrobial resistance↗

PubMed2026

Precision periodontology in clinical practice: bridging omics and clinical decision-making.

BACKGROUND: Precision periodontology integrates molecular diagnostics, genomics, and advanced imaging into clinical decision-making. Despite major advances in microbiome characterisation, host genetics, and inflammatory biomarkers, their translation into routine care remains limited. OBJECTIVES: To critically appraise current evidence on microbiome-based profiling, genetic and epigenetic markers, host-response biomarkers, and three-dimensional imaging in periodontology, and to propose a conceptual decision-support framework linking diagnostic outputs to potential therapeutic actions and future implementation research. MATERIALS AND METHODS: A narrative review searching PubMed/MEDLINE, Scopus, Embase, and the Cochrane Library (2010-2025) using terms related to precision periodontology, subgingival microbiome, periodontitis genetics and epigenetics, salivary and GCF biomarkers, aMMP-8, CBCT, risk assessment, and artificial intelligence. Priority was given to meta-analyses, systematic reviews, longitudinal studies, and guideline documents. RESULTS: Microbiological testing has defined but narrow indications; single-SNP genotyping has not demonstrated clinical utility commensurate with cost; aMMP-8 point-of-care testing is among the most extensively investigated host-response tools and may have adjunctive value in selected monitoring and peri-implant scenarios; however, current evidence remains insufficient to support routine diagnostic implementation. CBCT may directly influence surgical decision-making through defect morphology characterisation. AI-based models show promise but lack prospective clinical validation. These conclusions are consistent with the 20th EFP Workshop Consensus Report. CONCLUSIONS: Precision periodontology currently operates in addition to, rather than in replacement of, conventional staging and grading. We propose a conceptual decision-threshold framework for the selective consideration of molecular and advanced imaging tools when their additive contribution may meaningfully inform management. This framework should be regarded as a research-oriented decision-support model rather than a validated clinical algorithm. CLINICAL RELEVANCE: Clinicians are provided with a structured, evidence-based framework that identifies specific clinical scenarios where molecular diagnostics, host-response biomarkers, and three-dimensional imaging may meaningfully modify periodontal treatment decisions, supporting the operationalisation of precision approaches in daily practice.

Humans↗

PubMed2025

DigiNet: Optimizing personalized care for patients with stage IV non-small cell lung cancer (NSCLC) through a digitally connected provider network-analysis plan of a prospective multicenter cohort trial.

PURPOSE: The German sector-based healthcare system poses a major challenge to continuous patient monitoring and long-term follow-up, both essential for generating high-quality, longitudinal real-world data. The national Network for Genomic Medicine (nNGM) bridges the inpatient and outpatient care sectors to provide comprehensive molecular diagnostics and personalized treatment for non-small cell lung cancer (NSCLC) patients in Germany. Building on the established nNGM infrastructure, the DigiNet study aims to evaluate the impact of digitally integrated, personalized care on overall survival (OS) and the optimization of treatment pathways, compared to routine care. METHODS: DigiNet is a prospective, controlled, non-randomized multicenter cohort study including patients with stage IV NSCLC in two study regions (East and West) in Germany. The results of molecular diagnostics and clinical information, along with the entire treatment data are documented in a shared database. A board of lung cancer specialists monitors critical events. Patients digitally complete quality of life questionnaires, with results visualized for physicians. To assess the impact of this personalized digital care, a population-based control group will be identified by matching cohorts within the involved cancer registries. The primary endpoint is OS, and secondary endpoints comprise time on first-line treatment and hospitalization rates. Furthermore, a health economic and business economic evaluation will be conducted. Qualitative interviews with patients and physicians will be performed to assess barriers and facilitating factors for implementing the DigiNet intervention. ETHICS: The study protocol was reviewed and approved by the Ethics Committee of the University Hospital of Cologne (21-1521). TRIAL REGISTRATION: NCT05818449, registered retrospectively on December 12, 2022.

Humans↗

PubMed2026

Recent advances in Strongyloides screening, diagnostics, therapeutics, and management.

PURPOSE OF REVIEW: Strongyloidiasis affects an estimated 30-100 million people globally and can have life-threatening consequences in immunocompromised hosts, yet it remains underdiagnosed due to limited access and performance of available diagnostics. Novel assays and anthelmintics may reshape screening, diagnosis, treatment, and prevention for at-risk populations. RECENT FINDINGS: Advances in molecular diagnostics coupled with robust stool extraction methods have supplanted traditional parasitologic methods in settings where nucleic acid amplification is feasible. Transition from standard immunoglobulin G (IgG)-based immunoassays to the new IgG- and IgG4-based rapid diagnostic tests using recombinant Strongyloides stercoralis nematode immunodominant E antigen (NIE) and/or S. stercoralis immunoreactive antigen (SsIR) has facilitated serologic screening at the point of care. The World Health Organization now conditionally recommends community-wide ivermectin mass drug administration in highly endemic settings. Regarding new treatment options, moxidectin is noninferior to ivermectin with 93-94% cure rates and a longer half-life, while emodepside shows 80-90% predicted cure rates in early trials and offers a mechanistically distinct option. Understanding of immunosuppressed populations at risk for hyperinfection has expanded, prompting updated screening recommendations. SUMMARY: Serologic and molecular tools are improving screening and diagnosis, and moxidectin and emodepside may broaden treatment options, but data in severe disease and special populations remain limited. Priorities include harmonized screening algorithms and prospective studies in high-risk groups.

Humans↗

PubMed2026

Prevalence of BRCA1/2 variants in an Ovarian Cancer Cohort: outcomes from a Nationwide Testing Program.

Poly(ADP-ribose) polymerase inhibitors (PARPi) have revolutionized the management of BRCA1- and BRCA2-associated ovarian cancer (OC). In 2020, Ireland implemented a nationwide, oncology-led pathway for mainstreamed BRCA1/2 testing in patients with OC. This study evaluated the pathway and characterised the BRCA1/2 landscape in an Irish cohort of patients with OC. Samples collected between January 2020 and December 2023 were tested in two national molecular diagnostic laboratories. Single-molecule molecular inversion probe sequencing was used to detect single nucleotide variants, while multiplex ligation-dependent probe amplification assessed large genomic rearrangements. Variants were classified according to the American College of Medical Genetics and Genomics and Association for Clinical Genomic Science 2020 guidelines and CanVIG-UK specifications. In total, 535 patients were included, with a median age of 65.5 years (range, 27-89 years). Of these, 455/535 (85.0%) underwent germline BRCA1/2 (gBRCA) testing using peripheral blood, and 360/535 (67.2%) underwent tumour BRCA1/2 (tBRCA) testing, resulting in 292/535 (54.6%) patients having paired testing. Among gBRCA-tested patients, 10.3% (47/455) had a clinically actionable variant (CAV), while 2.1% (10/455) had a variant of uncertain significance. Of the 262 patients who underwent paired testing and had negative gBRCA results, 9.5% (25/262) had a somatic BRCA CAV. Recurrent germline BRCA CAVs were identified in regional clusters, including BRCA1 c.5266dup, BRCA1 c.1175_1214del, and BRCA2 c.4398_4402del. This nationwide real-world study demonstrates that mainstreamed germline and somatic BRCA1/2 testing is feasible in Ireland and reports the prevalence of BRCA CAVs in a cohort of patients with OC. Although the observed prevalence of germline BRCA CAVs was lower than anticipated, it is consistent with UK real-world data. The identification of recurrent, regionally clustered germline variants further enhances the characterisation of the Irish genomic landscape.

Journal Article↗

PubMed2026

Rapid and reliable diagnosis of mucormycosis using colorimetric loop-mediated isothermal amplification.

Current diagnostic approaches for mucormycosis are often limited by low sensitivity and prolonged turnaround times, which result in delayed treatment and poor clinical outcomes. We developed a novel diagnostic method utilizing a colorimetric loop-mediated isothermal amplification (LAMP) assay for the rapid and sensitive detection of mucormycosis. The assay incorporates specifically designed primers capable of detecting as low as 0.001 picograms (pg) of spiked genomic DNA from Mucorales fungi. This LAMP assay demonstrated a high sensitivity of 98% and a 100% specificity of detecting fungal ribosomal DNA (rDNA) in bronchoalveolar lavage (BAL) samples collected from mice infected with Mucorales fungi (n = 48) or from an uninfected control group (n = 15). To align the assay with clinical antifungal therapy, a subset of infected mice was treated with either liposomal amphotericin B (LAMB) or a combination of LAMB and a humanized monoclonal antibody (VX-01) targeting the Mucorales-specific surface protein CotH3. Consistent with the treatment efficacy, the LAMP assay detected significantly lower fungal burdens in BAL samples from mice receiving the combination therapy compared to those treated with LAMB alone or placebo. Further validation was conducted using BAL samples from patients diagnosed with mucormycosis (n = 24) or aspergillosis (n = 17). The assay demonstrated a sensitivity of 79% and a specificity of 94%. These findings highlight the diagnostic potential of this LAMP-based assay as a point-of-care. Its high sensitivity, specificity, and rapid turnaround time position this assay as a promising tool for early and accurate detection of mucormycosis, with the potential to improve patient management and clinical outcomes.IMPORTANCEMucormycosis is a rapidly progressive and fatal fungal infection. Timely diagnosis is critical for effective treatment, yet current diagnostic tools are slow, insensitive, or require complex laboratory procedures. In this study, we developed and validated a colorimetric loop-mediated isothermal amplification (LAMP) assay that enables rapid and reliable detection of Mucorales DNA directly from bronchoalveolar lavage (BAL) specimens. The assay demonstrated high sensitivity and specificity in both experimental mouse models and clinical samples, producing results within 1 h without the need for sophisticated equipment. This simple, robust, and cost-effective molecular diagnostic tool holds great potential for early detection of mucormycosis, facilitating prompt antifungal therapy and improving patient survival.

Mucormycosis↗