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PubMed2025

Genetic background of Richter transformation of atypical chronic lymphocytic leukemia to diffuse large B-cell lymphoma - a case study.

Atypical chronic lymphocytic leukemia (aCLL) is an indolent lymphoproliferative neoplasm derived from CD19-positive and CD5 or CD23-negative B cells. This paper presents the results of whole genome sequencing (WGS) of lymphoma cells collected from a 29-year-old woman initially diagnosed with aCLL and successfully treated with fludarabine, cyclophosphamide, and rituximab. Eight years later, due to disease progression, she was treated with ibrutinib. After 5 months, her status suddenly deteriorated. PET-CT results suggested Richter transformation (RT). Histopathological examination of nodal lesions confirmed the diagnosis of Diffuse Large B Cell Lymphoma (DLBCL). Finally, the patient was successfully treated with DHAP-R and alloHSCT. WGS of lymphoma cells revealed the presence of pathogenic (COL11A1, MGME1) and likely pathogenic variants (ZMYM3, ALG6, UBA5, and ATG7). Out of these genes, only ZMYM3 is recurrently mutated in B-cell chronic lymphocytic leukemia (B-CLL). The presence of the other lesions requires further studies and indicates the complex molecular background of aCLL transformation to DLBCL. Therefore, the whole-genome variant assessment is worth considering for introduction into a routine procedure at the time of B-CLL diagnosis, especially when RT is suspected.

Humans↗

PubMed2025

Leveraging functional annotations to map rare variants associated with Alzheimer disease with gruyere.

Increased availability of whole-genome sequencing (WGS) has facilitated the study of rare variants (RVs) in complex diseases. Multiple RV association tests are available to study the relationship between genotype and phenotype, but most do not fully leverage the availability of variant-level functional annotations. We propose genome-wide rare variant enrichment evaluation (gruyere), an empirical Bayesian framework that complements existing methods by learning global, trait-specific weights for functional annotations to improve variant prioritization. We apply gruyere to WGS data from the Alzheimer's Disease Sequencing Project to identify Alzheimer disease (AD)-associated genes and annotations. Growing evidence suggests that the disruption of microglial regulation is a key contributor to AD risk, yet existing methods have not examined rare non-coding effects that incorporate such cell-type-specific information. To address this gap, we (1) define per-gene non-coding RV test sets using predicted enhancer and promoter regions in microglia and other brain cell types (oligodendrocytes, astrocytes, and neurons) and (2) include cell-type-specific variant effect predictions (VEPs) as functional annotations. gruyere identifies 13 significant genetic associations not detected by other RV methods, four of which remain significant in omnibus tests. We find that deep-learning-based VEPs for splicing, transcription factor binding, and chromatin state are highly predictive of functional non-coding RVs. Our study establishes a robust framework incorporating functional annotations, coding RVs, and cell-type-associated non-coding RVs to perform genome-wide association tests, uncovering AD-relevant genes and annotations.

Alzheimer Disease↗

PubMed2026

Matching genomic evidence to claims about Mycobacterium avium subsp. paratuberculosis: Host association, host adaptation, mechanism, and virulence.

Whole-genome sequencing (WGS) permits high-resolution comparison of Mycobacterium avium subsp. paratuberculosis (MAP) isolates and pangenome analysis. Combined with animal-movement data, WGS can support transmission inference, but resolution alone does not establish the biological meaning of genomic variation. This focused narrative review applies a two-dimensional framework to purposively selected MAP studies, separating claim targets from support profiles. Claim targets include lineage identity, host-source or lineage characterization, host association, transmission, candidate genomic features, measured bacterial or host-cell phenotypes, natural-host infection fitness, disease or damage, shedding, and control outcomes. Depending on the claim, evidence operations may include characterization, context-aware comparative inference, direct endpoint ascertainment, and controlled feature perturbation; these are non-ordinal and may co-occur. On-target attribution, independent replication, and transportability are reported separately. The claim, not the study, is the unit of assessment. Typing markers support isolate or lineage discrimination, whereas phylogenomics supports evolutionary inference; neither alone establishes host adaptation. Pangenome comparisons and microbial genome-wide association studies nominate candidate features rather than establish adaptation. Cell-envelope and iron-associated studies support specified biochemical, transcriptional, or physiological phenotypes under defined conditions, while macrophage and calf models support only the endpoints measured. Annotated sequence variation alone nominates pathogenicity hypotheses. Across the illustrative studies selected here, MAP genomics most directly supported lineage classification, candidate discovery, measured bacterial phenotypes, bounded transmission inference, and natural-host infection-fitness claims. Claims about adaptation, mechanism, virulence, or control require endpoints and comparisons matched to the stated claim and model; feature-specific causal claims additionally require evidence linking the bacterial feature to the measured endpoint.

Claim boundaries↗

PubMed2025

Machine learning detection of heteroresistance in Escherichia coli.

BACKGROUND: Heteroresistance (HR) is a significant type of antibiotic resistance observed for several bacterial species and antibiotic classes where a susceptible main population contains small subpopulations of resistant cells. Mathematical models, animal experiments and clinical studies associate HR with treatment failure. Currently used susceptibility tests do not detect heteroresistance reliably, which can result in misclassification of heteroresistant isolates as susceptible which might lead to treatment failure. Here we examined if whole genome sequence (WGS) data and machine learning (ML) can be used to detect bacterial HR. METHODS: We classified 467 Escherichia coli clinical isolates as HR or non-HR to the often used β-lactam/inhibitor combination piperacillin-tazobactam using pre-screening and Population Analysis Profiling tests. We sequenced the isolates, assembled the whole genomes and created a set of predictors based on current knowledge of HR mechanisms. Then we trained several machine learning models on 80% of this data set aiming to detect HR isolates. We compared performance of the best ML models on the remaining 20% of the data set with a baseline model based solely on the presence of β-lactamase genes. Furthermore, we sequenced the resistant sub-populations in order to analyse the genetic mechanisms underlying HR. FINDINGS: The best ML model achieved 100% sensitivity and 84.6% specificity, outperforming the baseline model. The strongest predictors of HR were the total number of β-lactamase genes, β-lactamase gene variants and presence of IS elements flanking them. Genetic analysis of HR strains confirmed that HR is caused by an increased copy number of resistance genes via gene amplification or plasmid copy number increase. This aligns with the ML model's findings, reinforcing the hypothesis that this mechanism underlies HR in Gram-negative bacteria. INTERPRETATION: We demonstrate that a combination of WGS and ML can identify HR in bacteria with perfect sensitivity and high specificity. This improved detection would allow for better-informed treatment decisions and potentially reduce the occurrence of treatment failures associated with HR. FUNDING: Funding provided to DIA from the Swedish Research Council (2021-02091) and NIH (1U19AI158080-01).

Machine Learning↗

PubMed2026

Molecular DNA enrichment methods for parasite genomic sequencing in clinical samples: a systematic review.

Parasitic diseases such as malaria, Chagas disease, leishmaniases, and helminthiases are major causes of sickness and death in low- and middle-income countries. The high genetic diversity of these pathogens affects virulence, immune evasion, and diagnostic accuracy. Although Whole Genome Sequencing (WGS) is a powerful tool for tracking genetic variants and drug resistance, low parasitemia and the predominance of host DNA limit its application to clinical samples. This study systematically reviewed molecular strategies to improve the recovery of parasite DNA from clinical samples, following PRISMA 2020 guidelines and registered in PROSPERO. Searches of PubMed, Scopus, Web of Science, and LILACS up to December 2025 identified 20 eligible studies, most of which focused on protozoa, particularly Plasmodium spp. The main approaches included hybridization capture, selective whole-genome amplification, host DNA depletion, and in silico enrichment via adaptive sampling. Overall, no single method is suitable for all parasites analyzed; the optimal approach depends on the pathogen, sample type, and research objective. The review emphasizes that parasite DNA enrichment is essential for enabling WGS in clinical settings, underscoring the need for protocol standardization and cost-effectiveness analyses to support public health genomic surveillance.

Adaptive sampling↗

PubMed2026

Insights into the fate and dynamics of antibiotic resistance in multidrug-resistant Bacillus cereus during in vitro simulated gastrointestinal digestion.

Bacillus cereus, an important pathogen responsible for causing foodborne diseases worldwide, releases pore-forming enterotoxins, which target host epithelial cells, leading to osmotic lysis and ultimately manifesting as diarrheal syndrome. Moreover, some B. cereus strains carry antimicrobial resistance genes that confer multidrug resistance against a spectrum of antibiotics. Characterizing the survival traits of multidrug-resistant (MDR) B. cereus strains in the intestinal microenvironment is essential for developing targeted strategies to effectively manage diarrheal foodborne diseases caused by this pathogen. This study used whole-genome sequencing (WGS) to evaluate the pre- and post-digestion toxigenic potential, antimicrobial resistance profiles, and genetic diversity of MDR B. cereus strains isolated from food samples in Guangdong Province, China. The four B. cereus isolates investigated in this study exhibited a genetic diversity, as determined by multilocus sequence typing analysis of WGS data. All four isolates produced the diarrheal toxins Hbl, Nhe, and CytK to varying levels, indicative of their potential to cause outbreaks of foodborne diseases. Each of the four isolates exhibited resistance to more than three classes of antibiotics, fulfilling the criterion for multidrug resistance. At an initial concentration of 9 log colony-forming units (CFU)/mL, the intestinal concentration of these four isolates crossed the threshold required to induce widespread diarrhea in the general population. Under rice slurry protection, all tested isolates maintained intestinal concentration beyond the threshold when the initial concentration was increased to ≥8 log CFU/mL. Moreover, the upregulations of genes associated with acid tolerance, bile tolerance and stress response were observed in the surviving MDR B. cereus isolates. Digestion markedly altered the antibiotic resistance profiles of the MDR B. cereus isolates. In the absence of a food matrix, the MDR isolates lost their resistance to imipenem, meropenem, amoxicillin-clavulanic acid, and trimethoprim-sulfamethoxazole post-digestion and was influenced by the initial concentration of the strains. In the presence of food matrix rice slurry, the effects of digestion on the antibiotic resistance of MDR B. cereus isolates can be mitigated, enabling them to maintain their antibiotic resistance to the greatest extent. Most remarkably, after digestion, the isolates Bce055 and Bce166 exhibited newly emergent resistance to cefotetan and trimethoprim-sulfamethoxazole, respectively. Our findings clarify the fate of MDR B. cereus isolates in the gastrointestinal tract and inform the development of prevention and control strategies for foodborne diseases caused by this pathogen.

Drug Resistance, Multiple, Bacterial↗

PubMed2026

Genomic and food-safety evaluation of Staphylococcus chromogenes in Chinese dairy milk.

Non-aureus staphylococci and mammaliicocci (NASM) cause mastitis and may contaminate milk and dairy products. Milk samples (n = 1916) from cows with subclinical or clinical mastitis (SCM and CM, respectively) were collected from 28 large-scale (> 500 lactating cows) Chinese dairy farms. Overall, 999 NASM isolates representing 19 species were identified by MALDI-TOF MS and cpn60 sequencing, with Staphylococcuschromogenes, Mammaliicoccus sciuri and Staphylococcus haemolyticus being most prevalent. Antimicrobial resistance (AMR) was determined with disc diffusion; non-susceptible to penicillin was most common (SCM, 30% and CM, 29%) whereas cefoxitin non-susceptible NASM accounted for 8-10% of isolates; among these, 12.5% carried mecA but none carried mecC. Galleria mellonella was used to assess virulence of 78 strains of S. chromogenes, a dominant species; subsequently, 32 strains, representing higher- and lower-virulence in the Galleria model, were selected for whole-genome sequencing and comparative genomics. S. chromogenes isolates from CM had higher virulence (p < 0.05) than those from SCM. The 32 genomes comprised 20 sequence types, indicating high genetic diversity. No robust genomic marker of Galleria virulence phenotype was identified in this selected WGS subset. Acquired resistance genes (n = 5) were detected, including a first report of fusC in S. chromogenes; the fusC-positive isolate had an elevated fusidic acid MIC (8 mg/L). Although S. chromogenes persisted in milk at 4 °C, pasteurization (64 °C for 30 min) reduced viable counts to below detection. This study provided new insights into the prevalence, AMR, genomic diversity, and dairy-chain relevance of milk-derived NASM, particularly S. chromogenes. However, the genomic findings were based on an intentionally selected WGS subset and should be interpreted as hypothesis-generating rather than population-representative.

Animals↗

PubMed2005

The silk moth Bombyx mori U1 and U2 snRNA variants are differentially expressed.

Five U1 and eight U2 isoforms of the silk moth Bombyx mori exhibiting internal nucleotide differences have been previously identified and characterized in various tissues and developmental stages. In this investigation, it is demonstrated that the levels of some snRNA variants differ in egg and silk gland tissue and change during development. Qualitative and quantitative differences in the U1 and U2 variant populations were observed at three developmental points (early, middle and late) of the silk gland (SG) during the fifth instar larval stage of the silk moth. Statistical analyses of the various isoform populations across the fifth instar larval and egg stages show significant differences for some of the U1 and U2 variants. The representation of variant sequences in expressed U1 and U2 sequences (RT-PCR libraries) and in a whole-genome shotgun (WGS) assembly database was confirmed. In addition, conserved elements in the promoter 5'-flanking region of the U1 and U2 variants were identified in the WGS.

Animals↗

PubMed2026

Genomic epidemiology and ceftazidime-avibactam resistance mechanism of KPC-3-producing Pseudomonas aeruginosa: A decade retrospective study in China.

OBJECTIVES: Carbapenem-resistant Pseudomonas aeruginosa (CRPA), especially KPC-producing P. aeruginosa, is rapidly expanding and posing a serious public health threat. Here, we aim to characterise the epidemiology of KPC-3-producing P. aeruginosa in a tertiary hospital over a 10-year period and elucidate the mechanism of ceftazidime-avibactam (CZA) resistance driven by blaKPC-3 to blaKPC-267 mutations in CRPA, along with conducting a global phylogeographic analysis of KPC-3-producing P. aeruginosa. METHODS: 11 non-duplicate KPC-3-producing CRPA isolates collected over a 10-year period were characterized by antimicrobial susceptibility testing and whole-genome sequencing (WGS). The genetic context and transferability of blaKPC-3/267 and the mechanism of KPC-267-mediated CZA resistance were investigated. Global phylogenomic analysis was performed to characterize the geographic distribution and population structure of blaKPC-3-carrying P. aeruginosa. RESULTS: All 11 KPC-3-producing CRPA strains in this study belonged to ST1076 and exhibited multidrug resistance. The blaKPC-267-positive CZA-resistant strain SRMPA3523 was isolated from patient 1 after blaKPC-3-positive P. aeruginosa SRMPA1139 and SRMPA1630 were treated with CZA. WGS indicated that blaKPC-3/267 was located on the Tn6296 transposon contained in the transferable IncP-2 plasmid. KPC-267 mediates resistance to CZA by reducing the inhibitory effect of avibactam and increasing affinity for ceftazidime. Global analysis indicated that blaKPC-3-carrying P. aeruginosa were predominantly in China, America, and Colombia, with ST1076 and ST111 as dominant clones. CONCLUSIONS: This study characterised the global phylogeography of blaKPC-3-carrying P. aeruginosa and identified KPC-267 as a KPC-3-derived variant associated with CZA resistance. This finding highlighted the risk of developing CZA resistance in KPC-producing P. aeruginosa strains under therapeutic pressure.

CRPA↗

PubMed2026

Whole-genome sequencing links a Salmonella Newport ST164 outbreak on Fernando de Noronha to prior circulation in the Brazilian poultry supply chain.

Foodborne outbreaks at geographically isolated tourist destinations pose distinctive One Health challenges, combining limited local surveillance capacity, complex intercontinental supply chains, and high visitor turnover. In May 2021, a diarrheal outbreak linked to a gastronomic festival in Fernando de Noronha, that is a remote UNESCO World Heritage island off northeastern Brazil, was attributed to Salmonella enterica serovar Newport ST164. We applied an integrated genomic approach and epidemiological investigation to propose a transmission chain contextualizing and refining case definition of the S. Newport epidemic clone within national and international diversity. Whole-genome sequencing (WGS), SNP-based phylogenomic, pangenome analysis, Salmonella pathogenicity island (SPI) profiling, and resistome characterization was performed on 17 epidemiologically attributed outbreak isolates and 68 contextual genomes from Brazil, France, the United Kingdom, and the United States. The SNP analysis identified a 13 genome clonal core with less than 20 different SNPs demonstrating the possible connection between 9 patient isolates, 2 food isolates, and 2 food handler isolates, consistent with the involvement of colonised kitchen staff in cross-contamination of the ready-to-eat mussel dish. Three poultry isolates in 2020 from a mainland producer, ∼2180 km from Fernando de Noronha, differed only 13 to 17 Core-SNPs from the outbreak core, suggesting prior lineage circulation in the supply chain. Pangenome analysis also supports this evidence revealing near-complete genomic overlap of 4544 shared genes within the 5745 gene clusters (99.9%) between outbreak and non-outbreak backgrounds that mostly differentiate by a defense/prophage-associated accessory module. The resistome comprised intrinsic efflux determinants without acquired resistance and showed 35.3% of intermediate ciprofloxacin susceptibility. This One Health based study provides a WGS genomic reconstruction of a S. Newport ST164 outbreak at a remote tourist island, supporting the possibility of circulation from poultry-associated mainland reservoirs and findings consistent with cross-contamination at a gastronomic seafood festival.

Brazil↗

PubMed2026

Genomic characterisation of ST233 Pseudomonas aeruginosa co-producing KPC-2 and VIM-2 in Northeastern Brazil during the COVID-19 pandemic: Evidence of independent horizontal acquisition events.

BACKGROUND: Dual-carbapenemase-producing Pseudomonas aeruginosa poses a major therapeutic and epidemiological challenge worldwide, yet systematic data on KPC and VIM co-production in Brazil remain limited. The COVID-19 pandemic intensified antimicrobial use, a period temporally associated with increased carbapenemase detection globally. OBJECTIVES: To characterise the molecular epidemiology and resistance profiles of KPC and VIM co-producing P. aeruginosa isolates from Brazil (2019-2023). METHODS: Between 2019 and 2023, 1489 multidrug-resistant P. aeruginosa isolates were screened by multiplex PCR for carbapenemase-encoding genes. Co-producing isolates underwent pulsed-field gel electrophoresis (PFGE) for clonal profiling, followed by whole-genome sequencing (WGS) for high-resolution phylogenomic analysis. Antimicrobial susceptibility testing and plasmid characterisation using next-generation sequencing platforms were also performed. RESULTS: Forty-two isolates (2.8%) harboured both blaKPC-2 and blaVIM-2, with detection occurring exclusively between 2020 and 2023, temporally coinciding with the COVID-19 pandemic. PFGE identified eight distinct clonal groups, providing evidence for independent horizontal gene transfer (HGT) events, whilst WGS confirmed all isolates as the high-risk ST233 lineage. Chromosomally integrated blaVIM-2 within class 1 integrons predominated; 2 isolates carried dual chromosomal copies. Plasmid-borne blaKPC-2 was identified across heterogeneous replicons (43.3-430.1 kb), suggesting multiple independent acquisition events. All co-producing isolates displayed extensive drug resistance, retaining in vitro susceptibility only to cefiderocol and colistin. CONCLUSIONS: ST233 co-producing KPC and VIM, represents a high-risk resistance phenotype of epidemiological significance. Divergent genomic architectures suggest active horizontal dissemination across diverse genetic backgrounds rather than clonal expansion, highlighting the need for enhanced surveillance and infection control strategies.

Bacterial genomic characterisation↗

PubMed2026

Genome-sequencing-based benchmarking of antimicrobial resistance, treatment outcomes and healthcare transmission events for Clostridioides difficile infection in Australian hospitals.

BACKGROUND: Clostridioides difficile infection (CDI) remains a priority for infection prevention and control in health care, particularly with the emergence of hypervirulent strains and antimicrobial resistance (AMR). AIM: To characterize the genomic epidemiology and AMR profiles of culture-confirmed CDI cases within tertiary hospitals in Australia. METHODS: A total of 155 C. difficile isolates from 142 patients with CDI diagnosed in four hospitals between 2023 and 2025 were studied. Data collected included patient demographics, severity of infection, antibiotic treatment and clinical outcomes at 8 weeks. Phenotypic susceptibility to vancomycin, fidaxomicin, metronidazole, moxifloxacin, meropenem, tetracycline and rifaximin were determined by agar dilution. Isolates underwent whole-genome sequencing (WGS) for genotyping and resistome assessment. FINDINGS: WGS differentiated 39 distinct sequence types among CDI isolates across different healthcare services. In total, 100 isolates were singletons and 55 (35% clustering rate) isolates were considered to be genomically related (difference of two or fewer single-nucleotide polymorphisms). Of these, 12 patients (8.5%) with close hospital contact formed six epidemiologically linked clusters. Phenotypic susceptibility results were obtained for 134 (86.4%) CDI isolates. There was no phenotypic resistance to vancomycin [minimum inhibitory concentration required to inhibit the growth of 90% of isolates (MIC90) 1 mg/L], metronidazole (MIC90 0.5 mg/L) or fidaxomicin (MIC90 0.5 mg/L). There was no association in the study cohort between the presence of resistance genes or reduced phenotypic susceptibility and CDI recurrence. CONCLUSION: Genomic analysis of C. difficile isolates did not identify any outbreaks or an association between the sequence type or presence of a resistance gene and clinical outcomes. High-resolution characterization and identification of antibiotic resistance, CDI clinical relapse and recent transmission offered by genome sequencing can provide important benchmarks for hospital infection control.

Antibiotic resistance↗

PubMed2026

Genomic and transcriptomic features of relapsed small cell lung cancer.

BACKGROUND: Relapsed small cell lung cancer is characterized by treatment resistance and poor outcomes. Genomic and transcriptomic alterations in relapsed SCLC have not been characterized well. We comprehensively profiled relapsed SCLC samples along with patient-matched treatment-naive samples, when available, using whole-exome (WES), whole-genome (WGS), and RNA-sequencing (RNA-seq) to describe the molecular landscape of relapsed SCLC. Our goal is to identify potential novel pathways for additional functional validation and eventually novel therapeutic options. METHODS: We analyzed 54 relapsed and 27 treatment-naive SCLC samples using WES (with 26 patient-matched paired samples). A subset of the samples was also analyzed by WGS (n=28) and RNA-seq (n=31). Differences in mutational signatures, gene expression, structural variants, splicing, and neoantigen profiles at diagnosis and relapse were investigated. RESULTS: Relapsed SCLC samples demonstrated mutation signatures characteristic of platinum and APOBEC mutagenesis. Furthermore, these samples were characterized by MYC, MYCL and MYCN amplifications. Both treatment-naive and relapsed SCLC samples showed high prevalence of mutation-associated neoantigens (median= 86 in treatment-naive and 90 in relapsed SCLC; p=0.8) and TP53 was the most frequently altered gene to result in a neoantigen (48% of analyzed samples). Potential mechanisms of immune evasion, including amplification of CD24, overexpression of IDO1, increased M2 macrophage presence, and upregulation of HLA-E were also observed in relapse samples. Differences in alternative splicing patterns were observed between treatment-naive and relapsed small cell samples. Retained intron events were significantly enriched in treatment-naive samples and affected genes involved in DNA repair, metabolism, and WNT and MYC pathways. CONCLUSIONS: This study highlights the genomic and transcriptomic features of relapsed SCLC. These samples were characterized by genomic instability, WNT and MYC dysregulation, and splicing aberrations. Additional studies targeting the splicing machinery, WNT signaling, and immune evasion pathways could identify novel therapeutic vulnerabilities in SCLC.

Journal Article↗

PubMed2026

Assessment of differentially culturable tubercle bacteria assays for the detection of tuberculosis infection in asymptomatic household contacts and the implications for intra-household transmission: a longitudinal cohort study.

BACKGROUND: Conventional culture methods for tuberculosis diagnosis miss differentially culturable tubercle bacteria (DCTB), which grow only in liquid assays supplemented with growth-enhancing factors. This limitation, combined with inadequate contact tracing and screening, often fails to identify asymptomatic individuals, with live bacilli detectable by enhanced culture methods. This shortfall results in undiagnosed reservoirs of bacteria, potentially fuelling ongoing transmission. In this study, we aimed to investigate whether DCTB assays provide greater sensitivity by detecting more Mycobacterium tuberculosis infections than conventional culture and whether this enhanced detection improves the resolution of intrahousehold transmission mapping. In addition, we sought to evaluate whether DCTB populations can progress to conventional culture positivity, thereby highlighting their clinical and epidemiological relevance. METHODS: In this prospective observational longitudinal cohort study, drug-susceptible or rifampicin-resistant tuberculosis index participants aged 12 years or older, were recruited from primary healthcare clinics from two South African districts. Inclusion criteria were informed consent, Xpert MTB/RIF Ultra-positive results, tuberculosis symptoms (>2 weeks), provision of baseline samples, at least one consenting household contact, and documented HIV status. Household contacts of the index patients and control households were also recruited. Sputum specimens were collected at baseline and 2, 4, 8, 12, and 16 months from the index participants and household contacts. Samples were analysed by conventional mycobacterial growth indicator tube (MGIT) culture, and colony-forming unit assays to identify viable bacteria. Enhanced culture to detect DCTB involved serial dilution of sputum in liquid culture, supplemented with M tuberculosis culture filtrate as a source of growth stimulatory factors. Whole-genome sequencing (WGS) of cultured isolates was performed to trace household transmission. FINDINGS: Between June 1, 2020, and Feb 6, 2024, 293 index participants (183 [62%] male), 701 household contacts (453 [65%] female), and 122 control participants (67 [55%] female) were enrolled. At baseline, 249 (85%) of 293 index participants and 110 (16%) of 701 household contact sputum samples were positive for M tuberculosis by MGIT conventional culture. For baseline MGIT-negative specimens, DCTB assays detected M tuberculosis in an additional 21 (7%) of 293 index participants and 26 (4%) of 701 household contacts. Over 16 months of follow-up, DCTB assays identified 61 (8·7%) of 701 additional tuberculosis-positive household contacts not detected by conventional culture. WGS-guided transmission mapping using conventional culture identified transmission in 16 (15%) of 104 households, whereas DCTB assays detected an additional 19 (18%) of 104 transmission events. No evidence of intrahousehold transmission was found in the remaining 69 (66%) of 104 tuberculosis-positive households. Over the 16-month follow-up period, conventional culture identified 233 positive household contacts, of which 195 (84%) were asymptomatic. DCTB assays detected an additional 94 cases of M tuberculosis positivity in household contacts, of which 79 (84%) were asymptomatic. In control households, tuberculosis prevalence at baseline was two (2%) of 122, with an additional three (3%) of 122 identified during follow-up. INTERPRETATION: DCTB assays provide substantial value by detecting asymptomatic individuals missed by conventional culture, revealing a potentially important reservoir of subclinical infection, which could sustain transmission. In addition, DCTB detection uncovers transmission linkages missed by conventional culture, providing a more comprehensive understanding of M tuberculosis transmission dynamics and highlighting the need to incorporate enhanced culture methods into diagnostic and surveillance strategies, to strengthen early case identification and tuberculosis control efforts. FUNDING: National Institutes of Health.

Humans↗

PubMed2026

Identification and characterization of ectopic chromosomal amplifications in acute myeloid leukemia cell limes using high-throughput chromosome conformation capture screening.

Despite advanced molecular diagnostics, improving outcomes for refractory acute myeloid leukemia (AML) remains challenging. Although many cancer-related genes are identified, their molecular mechanisms are not fully elucidated. Amplification is a mechanism of cancer-associated gene activation, and ectopic gene amplification may have particularly high pathological significance. However, research on ectopically amplified cancer-associated genes in leukemia remains limited. Here, we evaluated the usefulness of high-throughput chromosomal conformation capture (Hi-C) as a screening method for ectopic gene amplification and assessed whether ectopic amplification of cancer-associated genes may represent a general phenomenon in AML. We screened the U-937 and NB-4 cell lines using in situ Hi-C. Regions appearing as "high-intensity bands" in Hi-C contact maps were identified and validated using fluorescence in situ hybridization (FISH). Additionally, copy number variation analysis was performed using whole-genome sequencing (WGS) to extract cancer-associated genes with ectopic amplification. In the U-937, three genomic regions showing "high-intensity bands" were identified and confirmed as ectopic amplifications-including PDCD1LG2 (PD-L2), CD274 (PD-L1), and JAK2; that is, four copies were detected by WGS, and amplification signals were observed by FISH. In the NB-4, four such regions were detected, including MYC and KRAS, with expression level of 498 transcripts per million (TPM) and 34 TPM, respectively. Copy number variation analysis further identified multiple cancer-associated genes with ectopic amplification. Overall, these findings demonstrate the presence of ectopic amplification of cancer-associated genes in AML cell lines and support the usefulness of Hi-C as a screening method for detecting such genomic alterations.

Acute myeloid leukemia↗

PubMed2026

Nanopore-based epigenomic profiling reveals the absence of widespread CpG methylation in the African swine fever virus genome.

DNA methylation is a critical epigenetic mechanism implicated in regulating replication and transcription in DNA viruses. However, the epigenetic landscape of African swine fever virus (ASFV), a large double-stranded DNA virus infecting pigs, remains controversial. Here, we systematically profiled the DNA methylome of the first ASFV strain isolated in Hong Kong (HK_NT_202103) using Oxford Nanopore Technologies (ONT) R10.4.1 sequencing. We employed a paired design: native whole-genome sequencing (WGS) against a methylation-free whole-genome amplification (WGA) control. Using conservative thresholds, we found no evidence of 5-methylcytosine (5mC), especially typical CpG methylation, across the viral genome. Importantly, clear CpG methylation signals were successfully detected in the host genome from WGS data, confirming the functionality of the workflow to detect 5mC at CG sites. While widespread 5mC seems absent, a small number of putative N6-methyladenine (6mA) loci were identified. A specific 6mA candidate exhibited raw ionic current disruptions and gene-level intersection with another ASFV isolate (CAS19-01/2019), although it lacked single-base consensus across different methylation callers or between the two isolates. Although our biological findings are restricted to a single isolate under specific experimental conditions, this study introduces a novel, highly rigorous ONT framework for viral epigenomics research. Furthermore, the absence of ASFV CpG methylation indicates that host CpG-depletion remains a viable strategy for viral metagenomic enrichment. Ultimately, our work offers a critical methodological baseline for ASFV surveillance and highlights the necessity of targeted experimental validation for rare viral modifications.

African Swine Fever Virus↗

PubMed2026

Advancing the science of Staphylococcus aureus infection prevention in the neonatal intensive care unit.

Despite advances in infection prevention, infections due to Staphylococcus aureus continue to be an important cause of morbidity and mortality in NICUs. Whole genome sequencing (WGS) using advanced analytic approaches for defining transmission have shed new insights into transmission and persistence patterns in the NICU. WGS has also helped uncover important associations between transmission, persistence, and the risk of invasive infections. Current infection prevention strategies rely on hand hygiene compliance and surveillance and decolonization of patients positive for S. aureus. Parent decolonization may also play a role in decreasing parent-child transmission. In the future, precision surveillance of high-risk strains and targeted infection prevention efforts to decrease bacterial burden of those specific strains may provide a more effective and efficient approach to decreasing risk of invasive infections.

Humans↗

PubMed2024

Ribosomal DNA copy number variation associates with hematological profiles and renal function in the UK Biobank.

The phenotypic impact of genetic variation of repetitive features in the human genome is currently understudied. One such feature is the multi-copy 47S ribosomal DNA (rDNA) that codes for rRNA components of the ribosome. Here, we present an analysis of rDNA copy number (CN) variation in the UK Biobank (UKB). From the first release of UKB whole-genome sequencing (WGS) data, a discovery analysis in White British individuals reveals that rDNA CN associates with altered counts of specific blood cell subtypes, such as neutrophils, and with the estimated glomerular filtration rate, a marker of kidney function. Similar trends are observed in other ancestries. A range of analyses argue against reverse causality or common confounder effects, and all core results replicate in the second UKB WGS release. Our work demonstrates that rDNA CN is a genetic influence on trait variance in humans.

Humans↗