EBioMedicine

Background[RP1.1] In low-burden countries such as France, whole-genome sequencing (WGS) is increasingly integrated into routine tuberculosis (TB) surveillance to improve case management and transmission monitoring. However, applying WGS to all TB cases generates large volumes of data, requiring automated tools for timely interpretation and outbreak response. Methods Since November 2016, all clinical M. tuberculosis isolates diagnosed in eight hospitals from three cities of Auvergne-Rhone-Alpes in France have undergone WGS. In July 2023, an automated pipeline for anti-TB drug resistance prediction and unbiased detection of transmission clusters based on SNP distances was implemented. Epidemiological, microbiological and clinical data were collected, with contact duration classified as household, frequent, or occasional. Index cases were stratified by their level of extra-household transmission (EHT), and statistical analyses were performed to identify associated factors. Findings Among 1,152 TB patients diagnosed between 2016 and 2025, 75 clusters involving 247 patients (21.4%) were identified. WGS reliably detected resistance to first-line anti-TB drugs, leveraging the WHO mutation catalogue. Routine WGS enabled real-time alerts for TB control centres, leading to expanded field investigations, including community spillover, nosocomial transmissions, and school outbreak. Classical indicators of contagiousness (smear results, cavitary disease) were not associated with EHT level. Instead, lower TB severity indices and longer duration of symptoms were linked to higher EHT level. Interpretation Systematic WGS supports timely identification of drug resistance and transmission events and provides new insights into contagiousness factors. The automated pipeline enables direct interpretation by clinical microbiologists, facilitating real-time public health action. In this study, we demonstrate how, with the appropriate pipeline, WGS offered a time- and cost-effective solution for routine TB management. Funding This work was supported by SHAPE-Med@Lyon, a French government grant managed by the French National Research Agency under the France 2030 program (reference ANR-22-EXES-0012).

Lung adenocarcinoma (LUAD) is classified internationally into six histological subtypes that predict clinical outcomes. Mutation analyses identify targets but provide less prognostic information than histological appearances. Immunotherapy in LUAD is constrained by the unpredictable immune environment within tumours. We therefore characterised relationships between WHO histological classification, common mutations, and underlying transcriptomic and immune profiles in 89 LUAD cases. Mutation profiles poorly correlated with histology or survival. Global gene expression was structured into 12 modules, identifying different tumour cells and pathways within WHO subtypes. Tumour classes also held distinctive immune cell profiles. Transcripts within high-risk solid tumours indicated enrichment of CD8+ and activated CD4+ T-cells, suggesting responsivity to immunotherapy. Independently from histologic classification, 31 transcripts were strongly associated with survival and were enriched in macrophage and fibroblast derived networks. The results suggest histological subtype stratification and typing for survival-associated markers have the potential to inform clinical trials of LUAD.

BackgroundA bidirectional relationship has been observed between COVID-19 and respiratory disorders, where respiratory comorbidities increase severity and COVID-19 induces respiratory sequelae. The underlying biological and genetic mechanisms remain unclear. While previous studies have identified overlapping genetic loci, few have systematically disentangled the genetic factors shared between these conditions versus those specific to COVID-19, particularly at a multi-omics level. MethodsWe developed and applied a unified analytical framework to compare three COVID-19 phenotypes with eight respiratory disorders (including asthma, COPD, IPF, and pneumonia). Utilizing the cofdr method for shared genetic signal analysis and DDx/mtCOJO for differentiation, we integrated genome-wide association statistics with multi-omics data (transcriptome, splicing, and proteome). This approach allowed for the simultaneous identification of shared genetic signals (concordant or discordant) and disease-specific variants across expression (TWAS), alternative splicing (spTWAS), and protein abundance (PWAS). ResultsWe delineated a comprehensive atlas of 214 differential and numerous shared loci across 24 pairwise comparisons. The shared genetic architecture was characterized by pleiotropic effects in genes such as ATP11A (exhibiting opposing effects in COVID-19 vs. IPF) and GSDMB (shared with COPD). Crucially, differentiation analysis revealed that severe COVID-19 is genetically distinct from other respiratory infections (e.g., pneumonia and influenza) through dysregulated Type I/III interferon signaling and specific defects in alveolar epithelial and macrophage function, as well as GM-CSF/surfactant metabolism pathways. These findings provide direct genetic evidence supporting the use of GM-CSF modulators and interferon-lambda for COVID-19 treatment, therapies that have already entered clinical trials. Furthermore, multi-trait conditional analysis prioritized FYCO1 and HCN3 as potential COVID-19-specific risk genes. Splicing analysis underscored the critical role of alternative splicing in both shared and differential architectures, highlighting IFNAR2 isoform regulation as a key discriminator between COVID-19 and other respiratory traits. ConclusionThis study provides the first genome-wide, multi-omics map revealing the shared and differential genetic landscapes of COVID-19 and other respiratory phenotypes. By uncovering specific molecular mechanisms that distinguish COVID-19 pathology, specifically involving surfactant homeostasis and interferon pathways, our findings offer novel insights for targeted drug repurposing and precision risk stratification.

We genotyped 1189 multidrug-resistant Mycobacterium tuberculosis isolates identified during 2013-2022 in Argentina, through a mixed strategy using PCR-based methods and whole-genome sequencing. Epidemiological, geographic distribution and microbiological data were integrated. Most cases belonged to a cluster (75.7%). The proportion of orphan and clustered cases varied across regions. The Euro-American lineage4 was virtually predominant. The most important clusters, M, Ra, Rb and Callao2 strains, comprised 45.9% of the newly diagnosed cases, and their relative importance varied over time. A preliminary genomic analysis showed that several local transmission chains due to the Callao2 strain, imported from Peru, were active, including a superspreading event that occurred circa 2020. A good performance of the current second-line regimes can be expected for most of the cases. Heightening suspicion of drug-resistance and enhancing timely and active surveillance in specific risk groups could contribute to the tuberculosis management in Argentina, tackling transmission and resistance amplification. BiosketchBiochemist Federico Lorenzo is a professional of the Servicio de Micobacterias, Departamento de Bacteriologia, INEI, ANLIS "C. G. Malbran" and is specialized in the microbiological diagnosis of mycobacterial diseases using next-generation sequencing technologies. His research interests are drug-resistant tuberculosis, non-tuberculous mycobacteria and bioinformatic analysis applied to diagnostics. One-sentence summaryWe evaluated the genotypes associated with multidrug-resistant tuberculosis in Argentina, 2013-2022.

Functional capacity, muscle strength, and patient-reported outcome measures are important indicators of health. In chronic obstructive pulmonary disease (COPD), these traits are often impaired beyond normal age-related decline. Substantial variability exists in both COPD and healthy populations, the biological basis of which remains poorly understood. Given the known contribution of genetics to complex traits, genetic factors may partly explain this variability. This study aimed to identify genetic variants associated with measures used to characterise extrapulmonary traits in COPD. Genome-wide association studies were conducted on the Lab3R-ESSUA cohort for the 6-minute walk test (6MWT), the 1-minute sit-to-stand test (1-min STS), the quadriceps maximal voluntary contraction (QMVC), the handgrip muscle strength, and the chronic airways assessment test (CAAT), adjusting for age, sex, body mass index, pack-years and ancestry. Variants with P<1E-05 were selected for replication in the EARLYCOPD cohort, and effects compared between COPD and healthy populations (two-way ANOVA). A total of 639 participants (364 people with COPD, 275 healthy; 75% male, median age 67 years; BMI of 27 Kg/m2; 10 pack-years) were included. Significant variants were identified for the 6MWT (rs1108983:G, {beta}=-186.5m, P=4.8E-08), the 1-min STS (rs5889103:GTT, {beta}=4.2reps, P=4.8E-08), the Handgrip (rs67352743:A, {beta}=-4.4Kg, P=2.8E-08), and for the CAAT (rs11747040:C, {beta}=4.4points, P=4.0E-09; rs11041680:A, {beta}=-2.6points, P=2.5E-08). Effects were independent of COPD diagnosis. Replication in EARLYCOPD (n=282) confirmed one SNP for 6MWT and three for CAAT. These findings highlight genetic contributions to functional capacity, muscle strength, and disease burden. COPD-related impairments appear to build on pre-existing genetic predisposition, contributing to disease heterogeneity.

Novel blood-based biomarkers for tuberculosis (TB) are needed to develop rapid, point-of-care diagnostics. We sought to use combined plasma metabolomics and high-density cytokine profiling to identify a biomarker signature that can differentiate pulmonary TB (PTB) from patients hospitalized with other respiratory diseases and ambulatory household contacts with TB symptoms. We analyzed plasma concentrations of 28 cytokines and 118 metabolites from 391 adults ([&ge;]18 years) presenting with respiratory symptoms suggestive of TB, of which 187 had PTB confirmed by Xpert MTB and/or M. tuberculosis sputum culture and 204 were controls in whom PTB was excluded. Our study identified a 5-marker signature (IFN.gamma, IL.22, IL.10, methionine and oxoproline) with an AUC of 0.97 (95% CI: 0.95-1.00) in the test set. The signature had 98% and 84% sensitivity at 70% and 98% specificity respectively, which meet WHO target product profiles for both non-sputum triage and diagnostic TB tests.

Streptococcus pneumoniae is the leading cause of empyema and pneumonia in children, and monitoring of effectiveness of polyvalent pneumococcal vaccines has been essential for controlling invasive pneumococcal disease (IPD) in children and elderly adults. Conventional serotyping of pneumococci has relied on Quellung reaction following laboratory culture, however more recently whole genome sequencing (WGS) has been implemented in many reference laboratories to enhance traditional typing. Pleural fluid samples from cases with empyema are often culture negative, limiting the utility of WGS and requiring polymerase chain reaction (PCR) or 16S rRNA sequencing to detect S. pneumoniae. These molecular methods have limited sensitivity and capacity to characterise pneumococcus in clinical samples, especially in specimens with a low pathogen abundance. This study applied capture-based enrichment (tNGS) to identify and characterise S. pneumoniae directly from pleural fluid samples. A total of 51 pleural fluid samples were subjected to tNGS with a custom probe panel, for 39 known positive fluids collected from IPD cases between 2018-2025 in New South Wales, Australia. tNGS results were benchmarked against molecular-based serotyping. Our tNGS achieved 100% sensitivity and specificity in detecting S. pneumoniae. Serotyping results were concordant with PCR and 95% (37/39) of S. pneumoniae PCR positive pleural fluid cases could be serotyped using tNGS. Standard molecular methods however could only determine serotype in 56% (22/39) of samples. This tNGS enabled 39% improvement in ability to directly identify and serotype IPD-associated serotypes of S. pneumoniae in difficult-to-culture pleural fluids can significantly enhance laboratory surveillance of IPD as well as our understanding of vaccine effectiveness.

Genome-wide association studies of idiopathic pulmonary fibrosis (IPF) have identified 35 common genetic risk loci associated with IPF susceptibility. In this study, we evaluated the effects of the reported variants in clinically curated non-European individuals. Despite limited sample sizes, we observed partial replication, limited transferability of some variants and evidence of ancestry-specific effects. The MUC5B promoter variant rs35705950 emerged as the dominant and most consistent signal across ancestries. Our findings highlight the need for larger, well-characterised studies in understudied populations to support robust discovery and translation.

Background: Host genetics alone explains limited susceptibility to tuberculosis (TB), particularly in people with HIV (PWH). Protein quantitative trait loci (pQTLs), genetic variants that regulate plasma protein levels, may bridge genetic and immunological mechanisms underlying TB progression. Methods: We conducted cis-pQTL mapping in 60 PWH who progressed to active TB and 194 matched controls from the Swiss HIV Cohort Study. Plasma proteomes were quantified via high-resolution mass spectrometry (dia-PASEF), and genotype-protein associations were analyzed separately in TB and control groups. Results: TB progressors harbored 26 cis-pQTLs linked to 12 proteins uniquely enriched in immune pathways (antigen presentation, complement activation, phagocytosis, and T-cell regulation). Controls showed 107 cis-pQTLs linked to 14 targets. Gene Ontology enrichment revealed 46 immune biological processes in TB versus only 1 in controls, with HLA-C, C4B, and CHIT1 as key TB-specific proteins. Conclusions: Integrating proteomics with genomics suggests differential regulation of immune proteins associated with TB progression in PWH. hese genetically anchored protein candidates support follow-up studies and future biomarker evaluation for TB risk prediction.

Equine asthma (EA) is a highly prevalent, chronic, inflammatory disease of the lower airways ranging from mild-to-moderate to severe clinical presentations. Diagnosis currently relies on bronchoalveolar lavage fluid (BALF) cytology, an invasive method associated with interobserver variability, which highlights the need for more reproducible approaches. MicroRNAs (miRNAs) are small noncoding RNAs involved in post-transcriptional gene regulation. They are stable and readily detectable in body fluids and have shown promising results as biomarkers in human asthma. The aim of this study was to characterize miRNA abundance profiles in BALF and serum from horses with distinct EA endotypes to evaluate their biomarker potential and explore their involvement in disease pathogenesis. A total of 43 horses were included and classified as either EA (n=32) or controls (n=11), based on clinical examination and BALF cytology. The EA horses were further divided into three endotypes based on BALF inflammatory cell composition: neutrophilic asthma (n=10), mastocytic asthma (n=15), and mixed asthma (n=7). RNA was isolated from both serum and BALF samples and analyzed by quantitative real-time PCR (qPCR) targeting 103 miRNAs linked to asthma and pulmonary inflammation in humans. Differential miRNA abundance was analyzed across EA endotypes. The most significantly differentially abundant miRNAs were used for in silico target prediction and pathway enrichment analyses. Horses with mixed EA had significantly lower levels of eca-miR-125a-3p and eca-miR-125b-5p in BALF compared to controls. Additionally, eca-miR-146a-5p abundance was significantly increased in BALF from horses with neutrophilic EA compared to mastocytic EA. Target and pathway enrichment analyses for eca-miR-146a-5p identified immune-relevant pathways, such as MAPK and T-cell receptor signaling, supporting its involvement in inflammatory processes associated with asthma. This study identified three promising candidates, eca-miR-125a-3p, eca-miR-125b-5p, and eca-miR-146a-5p, as potential biomarkers associated with different EA endotypes. These miRNAs are interesting candidates for further investigation in an independent cohort.

Background and Aims: Acute myocarditis (AM) is a T cell-mediated myocardial disease with clinical manifestations ranging from mild chest pain to cardiogenic shock. Reliable biomarkers to stratify patients and guide therapy are currently lacking. In particular, the extent of the dysregulation of inflammatory pathways, and the impact on myocardial dysfunction, remain elusive. Methods: Serum analyses were performed in prospectively recruited AM patients (n = 103) from two independent cohorts. Multimodal data integration combining profiling of cytokine and chemokine dysregulation with clinical biomarkers was used to define clinical phenotypes with distinct inflammatory signatures. Machine-learning and regression models were applied to determine biomarkers that indicate clinical severity. Results: Immuno-proteomic profiling revealed conserved inflammatory patterns across AM cohorts, dominated by T cell-related cytokines and chemokines. In addition, AM patients showed dysregulation of fibroblast-derived cytokines, including hepatocyte growth factor (HGF), bone morphogenic protein 4 (BMP4) and the BMP4 inhibitors Gremlin-1 (GREM1) and Gremlin-2 (GREM2). Data integration and unsupervised clustering revealed two immuno-clinical phenotypes, linking T cell activation and fibroblast dysregulation to disease severity. Machine learning-based analysis identified CXCL10, GREM2 and LVEF as critical parameters for stratifying disease severity. Conclusions: These findings highlight a systemic T cell activation signature as diagnostic hallmark of AM. In addition, dysregulation of fibroblast-derived tissue cytokines serves as an indicator for distinct immuno-clinical phenotypes in myocardial inflammatory disease. Thus, the clinically relevant link between T cell-driven immune activation, myocardial inflammation and fibroblast-driven remodelling provides a versatile set of parameters to identify severe manifestations of AM.

Human metapneumovirus (hMPV) is a major cause of respiratory infections, particularly among infants, older adults, and immunocompromised individuals, yet no approved vaccines or targeted antiviral therapies are currently available. pH-regulated processes, including airway epithelial physiology, endosomal acidification, and viral fusion mediated by the fusion (F) protein, are critical for hMPV infection. This study evaluates PHOH-001, an inhaled alkaline buffer, as a potential therapeutic strategy to modulate airway epithelial pH and inhibit hMPV infection. Using a recombinant hMPV expressing green fluorescent protein (rhMPV-GFP), viral replication was assessed in primary human airway epithelial cells (HAECs). PHOH-001 significantly reduced GFP expression at 72 hours post-infection in both submerged and air-liquid interface (ALI) cultures, with effects comparable to those of the endosomal acidification inhibitor bafilomycin A1. In Vero E6 cells, used as a mechanistic in vitro model, PHOH-001 increased extracellular and intracellular pH in a concentration-dependent manner and correspondingly reduced hMPV infection. In HAECs, PHOH-001 reduced viral replication, as measured by TCID50 assays of infectious virus, and inhibited syncytium formation, a key step in viral spread. Furthermore, PHOH-001 altered F protein localization and was associated with changes in actin organization, consistent with impaired viral spread. Collectively, these findings demonstrate that PHOH-001 alters multiple pH-dependent steps in hMPV infection in vitro and support airway pH modulation as a potential antiviral strategy against hMPV.

BackgroundAfter the global deployment of pneumococcal conjugate vaccines (PCVs), serotype 12F has become the predominant serotype responsible for invasive pneumococcal disease (IPD) worldwide. As PCVs that include serotype 12F are gradually introduced, we aim to characterise the global population structure and genetic diversity of the 12F capsule locus using whole-genome sequencing. Capsule variants with vaccine evasion potential were further investigated by functional experiments. MethodsA global collection of pneumococcal serotype 12F genomes (n=806) from 37 countries across six continents were included in this study. To characterise the serotype 12F population, Global Pneumococcal Sequence Cluster (GPSC), in silico serotype, and antimicrobial resistance profile were inferred from whole-genome data for each isolate. The capsule biosynthesis (cps) locus was analysed for gene content variations that could alter polysaccharide capsule production or structure, thereby influencing recognition by vaccine-induced antibodies. These isolates were further investigated by assessing their capsule production using immunofluorescence assays and its susceptibility to vaccine-elicited antibody killing by opsonophagocytosis assays. FindingsThe global increase in serotype 12F was driven by both distinct pneumococcal lineages across different continents, and a globally-disseminated and multidrug-resistant lineage GPSC26. We identified six capsule variants in nine isolates that had disruptive mutations in cps genes including wze, wcil, wciJ and fnlA. Most (6/9) of the disruptive mutations were a result of strand-slippage mutations. A convergent strand-slippage mutation disrupting the glycosyltransferase gene wciJ was identified in four isolates from distinct lineages and countries. Despite the truncation, three of four isolates with available Quellung typing results still identified them as 12F, indicating the production of the capsule. We then created a genetically engineered lab strain with wciJ knockout and complemented with wciJ containing the strand-slipppage mutation. The knockout strain did not produce any capsule. In contrast, the lab strain with wciJ containing the strand-slippage mutation produced a mixed population of encapsulated and non-encapsulated pneumococci, even within the same chain of pneumococcal cells. This observation indicated encapsulated subpopulation possesses a functional WciJ and rapidly reversible strand-slippage mutation during replication. Opsonophagocytosis assays indicated that the clinical 12F strain with strand-slippage mutation in wciJ exhibited reduced susceptibility to vaccine-elicited serum killing, compared to a genetically closely related 12F clinical strain with an intact wciJ. However, substantial inter-individual antisera variation limits definitive interpretation. InterpretationOur work revealed the global rise of serotype 12F pneumococci has been driven by both regional-specific lineages, and a globally-disseminated and multidrug-resistant lineage GPSC26. We demonstrated that strand-slippage mutation is one of the major drivers of serotype 12F capsule variants and represents a novel mechanism enabling reversible on-off switching of capsule production. The ability to switch off capsule expression in a subpopulation may enable evasion of antibody-mediated killing but increase susceptibility to innate immune clearance. FundingBill & Melinda Gates Foundation, Wellcome Sanger Institute, and the US Centers for Disease Control and Prevention.

BackgroundThe extracellular matrix (ECM) is a dynamic network that provides structural support and maintains tissue homeostasis. Collagens are the main structural components of the ECM, occupying distinct tissue compartments and serving specialized roles. Dysregulated ECM remodeling involves an imbalance between collagen production and degradation, generating neoepitope-specific fragments that can be released into circulation. Serological measurements of these fragments can be used as biomarkers of disease and have been associated with progression and mortality in different fibrotic diseases, including pulmonary fibrosis (PF). This study aimed to investigate whether these systemic biomarkers originate from human lung tissue in patients with PF and non-fibrotic controls. MethodsLung tissue was collected from patients with PF (n = 21) and non-fibrotic controls (n = 21) and processed in parallel as formalin-fixed paraffin-embedded or snap-frozen samples. Serum samples were collected from patients with PF and healthy controls (n = 21). Neoepitope-specific biomarkers reflecting type III, IV, and VI collagen production (PRO-C3, PRO-C4, and PRO-C6) and degradation (C3M, C4M, C4Ma3, and C6M) were quantified in serum and proteolytically degraded lung tissue, and their spatial distribution was assessed by immunohistochemistry in lung tissue sections. ResultsAll collagen remodeling biomarkers were significantly increased in serum of patients with PF compared with healthy controls (PRO-C3: p = 0.0006, all others: p < 0.0001). Collagen degradation fragments (C3M, C4M, and C6M) could be generated and released from both non-fibrotic and fibrotic human lung tissue following proteolytic cleavage with pepsin, collagenase, and/or MMP-9. All biomarkers were detected in lung tissue by immunohistochemical staining, with widespread distribution of type III and IV collagen fragments, whereas type VI collagen (PRO-C6) production showed a more compartment-specific pattern. ConclusionsThese findings demonstrated that neoepitope-specific collagen remodeling biomarkers, usually detected in circulation, are present and can be released from human lung tissue. Their spatial distribution suggests that ECM remodeling is heterogeneous and differs according to collagen type and distinct tissue compartments. Collectively, our findings support the use of collagen remodeling biomarkers as tools to assess ECM remodeling in pulmonary disease.

BackgroundSmall-cell lung cancer (SCLC) represents 15% of lung cancers and with a 5-year survival rate under 7% remains one of the deadliest malignancies. Although initially responsive to chemotherapy, rapid recurrence and resistance are common. Epigenetic modifications, particularly DNA methylation, contribute to tumor progression and therapy resistance. Guadecitabine, a hypomethylating agent (HMA), has shown promising clinical activity when combined with carboplatin in preclinical models. We evaluated the combination of guadecitabine with carboplatin as a second-line treatment for extensive-stage SCLC (NCT03913455). Here we report methylome changes in peripheral blood mononuclear cell (PBMCs) collected at baseline and during treatment from patients on the trial. ResultsPMBC DNA was analyzed using Infinium HumanMethylationEPIC v1.0 bead chips. Data were processed and differentially methylated positions (DMPs) were identified and analyzed for pathway enrichment using bioinformatic approaches and immune deconvolution analyses were conducted to investigate the impact on immune cell composition. Direct comparison of PBMCs between cycle 2 day 5 (C2D5; post-treatment) vs cycle 1 day 1 (C1D1; pre-treatment) revealed a greater number of hypomethylated DMPs (380 DMPs in C2D5 vs C1D1 PBMCs; p < 0.05, |{beta}| > 20%). Moreover, when first compared with normal PBMCs from cancer-free controls, the number of hypomethylated DMPs was even greater in C2D5 than in C1D1 (1,771 vs 237 DMPs, respectively; p < 0.05, |{beta}| > 20%). Long interspersed nucleotide elements-1 (LINE-1) were also significantly hypomethylated in PBMCs after HMA treatment (C2D5), compared to C1D1. Pathway analysis of hypomethylated DMPs revealed significant alterations in key signaling pathways including NF-{kappa}B, Rho GTPase, pulmonary fibrosis, and p75 NTR in C1D1 vs C2D5. When normal PBMCs were compared to C1D1 PBMCs, changes in IL-3 signaling, Fc{gamma} receptor-mediated phagocytosis, and molecular mechanisms of cancer were observed. Deconvolution analysis revealed a significantly higher percentage of monocytes in C1D1 PBMCs vs normal PBMCs. However, after HMA treatment, percentages of monocytes and B cells decreased, while eosinophil percentage increased in C1D1 compared to C2D5 PBMCs. ConclusionIn the first study on the global impact of HMA treatment on PBMC methylomes in SCLC patients, DNA methylation changes associated with biological pathways related to PBMC function reveal shifts in distinct immune cell populations. SummaryMethylome changes in peripheral blood mononuclear cell (PBMCs) from small cell lung cancer (SCLC) patients treated with an epigenetic therapy revealed global hypomethylation and altered cancer signaling processes associated with tumor progression, immune response, therapy resistance and significant change in the proportion of immune cells. Integrating blood-based methylation biomarkers into clinical trials of epigenetic therapy and methylomic analysis of PBMCs provides direct monitoring of treatment effects in cancer patients, which may improve patient selection and enable real-time response assessment in patients receiving hypomethylating agents.

A multiplex diagnostic test is evaluated for self-reported long COVID associated persistent symptoms and a poor recovery from a SARS-CoV-2 infection. A mass-standardised concentration of total antibodies (AC), high-quality (HQ) antibodies and percentage of HQ antibodies (HQ%) is assessed against a spectrum of spike proteins to the SARS-CoV-2 variants: Wuhan, , {delta}, and the Omicron variants BA.1, BA.2, BA.2.12.1, BA.2.75, BA.5, CH.1.1, BQ.1.1 and XBB.1.5 in three cohorts. A cohort of control patients (n = 46) recovered (CC) and a cohort of self-declared long COVID patients (n = 113) (LCC). A nested Receiver Operating Characteristic (ROC) analysis, performed for the variant with lowest HQ concentration in the spectrum, produced an area under the curve and AUC = 0.61 (0.53-0.70) for the CC vs LCC cohorts. For the LCC cohort, the cut-off thresholds for AC = 0.8 mg/L, HQ = 1.5 mg/L and HQ% of 34% were determined, leading to a 71% sensitivity and 66% specificity derived by the Youden metric. The cohorts may be fully classified based on ROC and outlier analysis to give an incidence of persistent virus 62% (95% CI 52% - 71%), hyperimmune 12% (95% CI 7% - 20%) and unclassified, 26% (95% CI 18% - 35%). The overall diagnostic accuracy for both the hyper and hypo immune is 69%. All clinical interventions can now be tailored for the heterogenous long COVID patient cohort.

SARS-CoV-2 persistence is a proposed driver of Long COVID (LC), but the in-situ relationship between residual viral antigen and immune dysregulation remains poorly defined. To address this critical gap, we employed a high-resolution, multi-modal approach--combining RNAscope, GeoMx Digital Spatial Profiling (DSP), spatial transcriptomics, and multiplex immunofluorescence--on 25 terminal ileum and left colon biopsies from a clinical cohort of 8 LC participants and 5 healthy controls. We confirmed the persistence of SARS-CoV-2 Spike transcript and protein in the gut tissue of all LC cases and controls tested. Yet, comparison of Spike-positive (Spike+) regions in LC versus healthy control colon tissues revealed a differential, symptomatic state-associated signature, with 57 differentially expressed genes (DEGs) (26 upregulated, 31 downregulated), revealing genes that disrupt the immune response in LC subjects. LC colon Spike+ regions demonstrated increased expression of AQP8 and other absorptive-related genes (SLC26A3, SLC26A2, and CLCA4) which are involved with Chrons disease along with transcripts involved in tumorigenesis (GUCA2A, S100P, TSPAN1). Simultaneous downregulation of key homeostatic chemokines (CXCL13, CCL19, CCL21), and other transcripts reported to exhibit low expression in colorectal cancers (TMEM88B, NIBAN3, DMBT1), suggesting a paradox of epithelial tissue stress yet dysfunctional immune trafficking. Further analysis comparing Spike+ versus Spike- regions within LC colon tissue demonstrated an active, localized, antigen-driven immune microenvironment, identifying 122 DEGs (82 upregulated, 40 downregulated), including tumorigenesis genes. Cellular deconvolution of Spike+ regions revealed a statistically significant focal enrichment of myeloid-derived cells (macrophages, non-classical/intermediate monocytes), plasma cells, and regulatory T cells, coupled with significant enrichment in T-cell-related pathways, including "Antigen processing and presentation," and "Th1/Th2/Th17 cell differentiation." The ileum displayed a similar, though less pronounced, signature, demonstrating these statistically significant findings are specific to the colon of LC subjects. In contrast, corresponding Spike+ vs. Spike- analysis in healthy control colon tissues showed a more modest transcriptional response with 38 DEGs. Our data provide robust evidence that persistent SARS-CoV-2 Spike protein detection in the gut is not immunologically inert. Instead, it is actively associated with distinct, immune cell composition shifts and a dysfunctional pro-inflammatory transcriptional profile, supporting the hypothesis that retained viral antigen drives chronic immune dysregulation in tissue of Long COVID subjects.

Lung fibroblasts are key regulators of tissue homeostasis and extracellular matrix (ECM) remodeling, and their aberrant activation drives the progressive parenchymal scarring characteristic of idiopathic pulmonary fibrosis (IPF), a fatal disease with limited therapeutic options. Despite their central pathogenic role, lung fibroblasts are difficult to isolate due to their embedded position within the ECM, and standard in vitro culture conditions may lead to the loss of their native functional and transcriptional characteristics, hampering the study of fibroblast behavior in disease. The transcriptional heterogeneity of lung fibroblast subtypes and the extent to which culture-induced alterations diverge from native tissue signatures remain poorly understood. Here, we integrated single-cell RNA sequencing (scRNA-seq) and spatial transcriptomics of lung tissue from IPF patients and age-matched healthy donors with transcriptomic profiling of cultured fibroblasts collected at passages 1 and 6 after isolation using three optimized protocols: whole lung cell suspension (WLCS), negative fraction enrichment, and outgrowth. Tissue-based analysis identified six transcriptionally distinct mesenchymal subtypes: alveolar, adventitial, inflammatory, peribronchial, CTHRC1+ and smooth muscle cell (SMC). The fibroblast subtype CTHRC1+ represented the most transcriptionally activated pro-fibrotic subtype, showing the greatest upregulation of ECM biosynthesis genes, a prominent role in intercellular communication, and preferential enrichment within fibroblastic foci in IPF lung tissue. Pseudotime trajectory analysis supported a directional transcriptional continuum from alveolar and inflammatory fibroblasts toward the CTHRC1+ state, driven by coordinated activation of pro-fibrotic transcription factors, including RUNX2, CREB3L1, and SCX. In vitro culture progressively reshaped fibroblast transcriptional identity relative to native tissue, with increased collagen and matrix metalloproteinase (MMP) expression during passaging, loss of distinct CTHRC1+ fibroblasts, and gain of alveolar fibroblasts displaying pro-fibrotic activation across all isolation protocols. These findings provide a high-resolution transcriptional map of lung fibroblast heterogeneity in IPF and highlight critical limitations of standard in vitro culture systems for recapitulating native fibroblast diversity, with important implications for the development and evaluation of fibroblast-targeted therapeutic strategies in IPF.

BackgroundIn extensively drug-resistant and pre-extensively drug-resistant TB, bacteriology-based monitoring often fails to capture structural lung recovery and patient-reported functional health. We aimed to characterize multidomain treatment response and examine host inflammatory and transcriptional features associated with incomplete recovery. MethodsWe conducted an ancillary analysis of a prospective, open-label, pilot study evaluating adjunctive ibuprofen in XDR-TB (NCT02781909). Participants were assessed at baseline and during treatment using TBS, chest radiography, sputum culture, SGRQ, blood cell indices, plasma cytokines, and whole-blood transcriptomic profiling. Clinical and laboratory measures were compared across outcome groups, and blood transcriptional profiles were analyzed in relation to treatment outcomes. ResultsHere we show that microbiological and symptomatic improvement occurred earlier than radiological and functional recovery. Higher baseline systemic inflammation, including elevated NLR, SII, and IL-6, as well as increased expression of interferon-related genes such as CD274 and GBP5, were associated with poorer radiological and SGRQ outcomes at 6 months. In contrast, transient elevations of IL-8 and IL-4 were associated with early bacteriological clearance. IL-8 was the only plasma biomarker consistently correlated with symptom severity, radiological findings, and functional health. ConclusionsTreatment response in drug-resistant TB is asynchronous across biological domains. Integrated host profiling identifies inflammatory and transcriptional features associated with incomplete structural and functional recovery, supporting the use of multidimensional endpoints to better capture long-term outcomes and inform individualized patient management. Plain Language SummaryPeople with highly drug-resistant tuberculosis can clear the infection but still experience lung damage and reduced quality of life after treatment. In this study, we examined recovery using several measures, including symptoms, chest X-rays, blood markers of inflammation, and gene activity, in addition to tests for tuberculosis bacteria. We analyzed data and stored samples from a small clinical trial to see how these measures changed over time. We found that lung structure and quality of life improved more slowly than bacterial clearance. People with higher levels of inflammation before treatment were more likely to have ongoing lung changes and poorer quality of life later. These results suggest that tuberculosis care should look beyond bacterial clearance and include monitoring inflammation to better support long-term recovery.

Dysregulation of the renin-angiotensin system (RAS) contributes to severe influenza and COVID-19, potentially via impaired ACE2/Ang-(1-7)/Mas receptor (MasR) signalling. AVE0991, an orally bioavailable MasR agonist, protects against non-infectious lung inflammation, but its effects in viral respiratory disease are unknown. We evaluated AVE0991 in human lung epithelial cells and murine models of influenza A virus (IAV) and SARS-CoV-2 infection. In vitro, AVE0991 suppressed cytokines IL-6 and TNF- to both IAV and SARS-CoV-2 and reduced IAV titres. Unexpectedly, in vivo treatment worsened disease. These findings highlight discordant in vitro and in vivo effects and underscore the need for careful evaluation of RAS-targeted therapies in acute viral infection.