The Lancet Respiratory Medicine

Background. Short telomeres are an established cause of idiopathic pulmonary fibrosis (IPF), but the genetic evidence rests on seven instruments, six of which lie at telomere-maintenance loci, and so cannot separate an effect of telomere length from an effect of the telomerase pathway itself - a distinction that determines whether telomere length is a tractable target or only a marker of the pathway. Whether other measures of biological ageing share the effect, and whether accelerated ageing causes immune-mediated disease more generally, has not been tested systematically. Methods. Two-sample Mendelian randomisation of six ageing measures - GrimAge, PhenoAge, Hannum-age and intrinsic epigenetic age acceleration, proteomic age acceleration, and leukocyte telomere length - against six immune-mediated diseases in FinnGen R12: giant cell arteritis (GCA), polymyalgia rheumatica, primary Sjoegren's disease, interstitial lung disease (ILD), Crohn's disease and ulcerative colitis. All 36 pairs were analysed in both directions using inverse-variance weighted (IVW), MR-Egger, weighted-median and weighted-mode estimators, with Cochran's Q, I2, leave-one-out and single-variant diagnostics, a pre-specified analysis excluding HLA-region instruments, and iterative Q-based outlier removal. Instruments were annotated against telomere-maintenance and pulmonary-fibrosis loci and that class excluded. Minimum detectable effects were computed for every pair before estimates were examined. Any pair surviving correction was re-estimated in two independent IPF case-control datasets. A two-step analysis tested mediation of ILD risk by seven gut microbial taxa acting through telomere length. Results. One of 36 forward pairs survived correction. Longer telomeres reduced ILD risk: outlier-robust IVW odds ratio (OR) 0.59 per standard deviation (SD), 95% CI 0.49-0.71, p = 2.7 x 10^-8, on 77 instruments, with no residual heterogeneity (I2 = 6%) and concordance across estimators. Four pleiotropic instruments - in TERT, TERC, APOE and ATM - inflated the unfiltered estimate to OR 0.46 (0.37-0.57) and accounted for all of its heterogeneity. The effect was reproduced in 5,159 clinician-diagnosed European IPF cases (OR 0.18, 0.12-0.25, p = 5.0 x 10^-23) and in 1,210 East Asian cases (OR 0.54, 0.35-0.83, p = 0.005). Excluding every telomere-maintenance and pulmonary-fibrosis locus left OR 0.26 (0.17-0.40), p = 1.6 x 10^-9, on 72 instruments, establishing that the effect does not depend on TERT or TERC. The effect was three times larger for clinically defined IPF than for the broad registry ILD endpoint (p = 1.8 x 10^-9), consistent with dilution of a fibrosis-specific mechanism by case mix. No methylation clock and no proteomic age measure affected any disease; smallest detectable ORs ranged from 1.29 to 5.24 per SD, so these nulls exclude only large effects. The reverse direction could not be tested at informative precision. One apparent clock-autoimmunity association was produced entirely by a single HLA-region instrument. Mediation was null at its first step. Conclusions. Telomere attrition causally increases fibrotic lung disease risk, with an effect that concentrates in clinically defined IPF and that survives removal of every telomere-maintenance locus - shown here for the first time - and is therefore attributable to telomere length rather than to the telomerase genes that dominate conventional instrument sets. Four methylation clocks and proteomic age acceleration show no such effect, so these measures cannot be treated as interchangeable proxies for biological ageing.

Background: Five biologics target sequential nodes of the type 2 (T2) inflammatory axis in severe asthma and have each been anecdotally linked to eosinophilic or paradoxical inflammatory adverse events. Whether these reflect a class effect or drug-specific signatures is untested. Methods: We performed a case-noncase disproportionality analysis of FAERS, 2022-2024. Asthma-indication reports naming tezepelumab, dupilumab, mepolizumab, benralizumab, or omalizumab as primary suspect were compared against the pooled other four (active-comparator design) across 7 pre-specified eosinophilic, vasculitic (including EGPA), cutaneous, and ocular outcomes. A signal was robust if the reporting odds ratio (ROR) 95% CI lower bound exceeded 1 and a Bayesian criterion was also met. Results: Among 50,360 reports (dupilumab n=29,652; mepolizumab n=8,846; omalizumab n=5,484; benralizumab n=4,372; tezepelumab n=2,006), benralizumab showed robust signals for EGPA (ROR 5.06), vasculitis (ROR 4.60), and peripheral eosinophilia (ROR 1.80). Mepolizumab showed a robust vasculitis signal (ROR 1.85); its similarly sized EGPA association narrowly missed the robustness criterion despite significance after correction for multiple testing. Dupilumab showed no EGPA/vasculitis excess but a robust ocular-inflammation signal (ROR 7.81). Tezepelumab and omalizumab showed no robust signal in any domain. EGPA/vasculitis onset occurred earlier after dupilumab (median 20-44 days) than anti-IL-5-axis agents (median 195-550 days; p[≤]0.012); mepolizumab's signal did not reproduce over the full 2015-2024 window (calendar-time confounding). Conclusion: FAERS active-comparator analysis reveals drug-specific, not class-uniform, adverse-event reporting patterns: anti-IL-5-axis agents disproportionately report EGPA/vasculitis, and dupilumab disproportionately reports ocular inflammation with markedly earlier onset. These hypothesis-generating signals cannot establish causality and require confirmation through case-level or comparative pharmacoepidemiological studies.

Relapse after apparently successful tuberculosis (TB) therapy remains difficult to predict, and how relapse risk evolves throughout treatment remains unclear. Using harmonised clinical data from two Phase 3 trials (2,918 participants), we performed time-resolved prediction of end-of-therapy (EOT) outcomes and post-treatment relapse by training models using tabular data at monthly intervals from baseline to therapy end. Prediction of EOT outcomes improved after month 3 (ROC-AUC up to 0.84), driven by sputum-smear and solid culture. In contrast, relapse prediction among participants with favourable EOT outcomes and completed follow-up improved only modestly through month 3 (ROC-AUC 0.58-0.63) before declining, with age, sex, clinical symptoms and bacterial burden contributing most strongly to prediction. Models trained on large language model-derived embeddings, a more flexible representation of the same variables, matched tabular relapse models in performance throughout therapy, and outperformed tabular EOT outcome models at months 3 and 4 ({Delta}ROC-AUC: 0.12 and 0.14), with longitudinal modelling and sparse variable inclusion only improving relapse prediction at months 4-6 ({Delta}ROC-AUC: 0.09, 0.19 and 0.12), however with reduced interpretability. Models incorporating data after baseline provided incremental improvements in post-treatment relapse risk stratification compared with baseline cavitation and sputum smear alone (4-month relapse-free survival: 94.8%/78.5% for model-derived low/high risk groups, vs. 91.4%/82.9% for baseline easy-/hard-to-treat groups). Overall, these findings suggest that while routine clinical data collected after baseline can improve post-treatment risk stratification, it offers limited predictive value for relapse, underscoring the need for relapse-specific biomarkers.

Background In adults, cold-attributable mortality exceeds heat-attributable mortality roughly 17-fold. Child-specific evidence has begun to emerge only recently - a nationwide Brazilian case-crossover study located the minimum mortality temperature (MMT) for under-five deaths, and a 56-country survey-based analysis linked monthly temperature anomalies to under-five mortality - but no multi-country, climate-zone-resolved estimate of the childhood respiratory-infection MMT exists, and whether temperature variability is independently associated with childhood respiratory mortality at the global scale is unknown. We quantified both. Methods We combined Global Burden of Disease 2023 mortality estimates, lower respiratory infection (LRI) deaths at ages 0-19 years and asthma deaths at ages 0-24 years, 171 countries, 1990-2023 - with 0.5 deg monthly land temperature and diurnal temperature range (DTR) fields from C-LSAT/C-LDTR (1901-2023). Four exposure dimensions (annual mean, DTR, seasonal amplitude, interannual variability) entered two-way fixed-effects models with Driscoll-Kraay standard errors. A quadratic term in mean temperature located the MMT, with percentile confidence intervals from a 300-replication country-cluster bootstrap. Future-exposure leads, country-level detrending, and permutation tests assessed contemporaneous causality, applied to both the linear coefficients and the quadratic term generating the MMT; national pneumococcal conjugate vaccine (PCV3) coverage and ambient PM2.5 exposure series were added as time-varying mechanistic covariates. Results The childhood LRI MMT was 17.1 C (95% CI 14.7-19.8), the 36th percentile of the annual-temperature distribution; zone estimates were 24.7 C in tropical and 15.8 C in subtropical countries, with weak temperate and no subarctic identification. The quadratic term underpinning the MMT, however, failed both falsification checks - future temperatures reproduced the U-shape and country-level detrending erased it - so these MMT values describe a trend-level geographic pattern of the annual construct rather than a contemporaneous dose-response. Interannual temperature variability was positively associated with LRI (+0.278, 95% CI 0.102-0.454; p = 0.002) and asthma mortality (+0.836, 95% CI 0.447-1.226; p = 2.6 x 10^-5) per 1 C, but future-exposure models returned nearly identical significant coefficients and detrending erased significance, supporting only a trend-level association; adjustment for national PCV3 coverage and PM2.5 exposure left these estimates essentially unchanged. Annual mean temperature was likewise inversely associated with both outcomes at the trend level; DTR and seasonal amplitude showed no independent within-country effects. Conclusions This study provides the first multi-country, climate-zone-resolved geography of the optimal temperature for childhood respiratory survival, spanning 171 countries; because the underlying quadratic association is trend-level, the estimates are directional. The observed variability-mortality associations are trend-level signals rather than contemporaneous causal evidence; daily-scale, child-specific designs are required to determine whether short-term thermal variability affects paediatric respiratory mortality.

Autoantibodies neutralizing type I IFNs (AAN-IFN-I) have been found in significant proportions of cases of severe, critical, and fatal COVID-19 pneumonia. We performed a systematic review of 54 studies reporting auto-Abs against type I IFNs and a meta-analysis of 20 studies reporting auto-Abs neutralizing type I IFNs published between 2020 and 2026. The meta-analysis included data for 11,380 SARS-CoV-2-infected individuals from Europe, North America, South America, Asia, the Middle East, North Africa and international multicenter cohorts, including 7,814 with severe or critical disease (69%). The pooled prevalence of AAN-IFN-I was estimated at 7.9% (95% CI, 6.0-10.4). Disease severity was strongly associated with AAN-IFN-I prevalence (OR, 11.7; 95%CI, 7.6-17.9; P=5x10^-29). The pooled prevalence of AAN-IFN-I reached 11.4% (95% CI, 10.2-12.7%) in patients with severe or critical COVID-19 and 15.3% (95% CI, 12.1-19.2%) in those who died. The prevalence of AAN-IFN-I increased with age in patients with severe, critical, or fatal COVID-19. AAN-IFN-I probably accounted for about 1.1 million of the 7.1 million deaths from COVID-19. AAN-IFN-I are strong, common, global determinants of life-threatening COVID-19 pneumonia.

ObjectivesRespiratory Syncytial Virus (RSV) vaccine policies have varied globally since their approval in 2023. In the UK, policy has adapted in line with National evidence generation such that from Autumn 2026 at-risk persons [&ge;]65 years old will become eligible for vaccination. Immunosuppressed persons <65 years will still not be offered protection. The objective of this study is to investigate the relative burden of RSV infection by age and immunosuppressed status (IC). DesignRetrospective observational cohort study using routine healthcare data from North West London Integrated Care System. ParticipantsPatients with a confirmed diagnosis of a respiratory viral infection (RSV, Influenza A and B, SARS-CoV2) between October 2021 and July 2025. Main outcomes measuresPrevalence and severity of RSV infection in immunosuppressed persons <65 years old, and to provide a comparative analysis with Influenza and SARS-CoV2 in a sub-cohort tested using a 4-in-1 combined rapid PCR test. ResultsDuring the study period, 1226 patients were diagnosed with RSV of whom 596 (48.6%) were <65 years old. In 1091 patients with clinical data, 341 (31.3%) were IC. Fifty (9.9%) patients <65 years old had severe infection (ICU admission or death within 28 days of diagnosis), of whom 14 (28.0%) were IC. Proportionally, 16.7% of all RSV-associated deaths and 55.1% of all ICU RSV-admissions occurred in adult patients <65 years old. RSV accounted for 665 (10.1%) infections confirmed by 4-in-1 viral PCR testing. Eight-nine (13.4%), 172 (9.3%) and 448 (12.0%) patients with RSV, Influenza A and SARS-COV2 experienced severe infection, of whom 32 (36.0%), 82 (47.7%) and 156 (34.8%) were <65 years old respectively. Eight (25.0%), 20 (24.4%) and 52 (33.3%) of patients <65 years old with severe infection were IC. On adjusted analysis, having an immunosuppressive condition increased the odds of a severe SARS-CoV2 infection, OR (95% CI) 1.36 (1.08-1.71) but not a severe RSV or Influenza infection. ConclusionsSevere RSV infections occur in persons <65 years old, with a significant proportion of patients having an immunosuppressive condition. Urgent research is needed to investigate the potential benefit of extending the current UK RSV vaccine policy to protect younger immunosuppressed adults.

Importance: Pharmacological targeting of host mechanisms that limit sepsis-induced organ dysfunction represents a new therapeutic approach. Preclinical studies showed that low-dose epirubicin enhances tissue damage control and attenuates sepsis severity independently of pathogen burden, thereby promoting disease tolerance to infection. Yet epirubicin can cause myelotoxicity when used in cancer therapy. Objective: To investigate whether low-dose epirubicin can safely be administered to patients with sepsis and septic shock. Design, Setting, and Participants: A randomized, double-blind, placebo-controlled clinical trial conducted in five German University hospitals. Patients with sepsis, defined by Sepsis-3 criteria, were eligible within 48 hours after diagnosis. The first patient was enrolled on October 19, 2022, and the last follow-up was conducted on May 21, 2025. Interventions: Eligible patients were randomized in a 4:1 ratio to receive either placebo or low-dose epirubicin in addition to standard care. There were three consecutive phases. Patients in the epirubicin group received a single dose of epirubicin (either 3.75 mg/m2, 7.5 mg/m2 or 15 mg/m2, depending on study phase). Main Outcomes and Measures: The primary endpoint of the trial was the 14-day myelotoxicity. Secondary and explorative outcomes included 90-day mortality, the degree of organ dysfunction as assessed by SOFA score, PK/PD modelling and cytokine release. Results: Of 854 patients assessed for eligibility, 32 were randomized and 31 were included in the primary analysis population. Six participants received placebo, nine participants received 3.75 mg/m2, nine received 7.5 mg/m2 and eight individuals received 15 mg/m2 epirubicin, respectively. There was no myelotoxicity in any group. Mortality at 90 days and SOFA-scores were not significantly different between groups. Two of 39 SAEs in the epirubicin group were assessed by the investigators as possibly related to epirubicin, Conclusions and Relevance Among patients with sepsis and septic shock, low dose epirubicin was not associated with increased myelotoxicity.

Murine efficacy models inform advancement of preclinical tuberculosis treatment regimens to human clinical testing. A recent human Phase 2 trial was terminated early because investigational regimens (4-months of PaBQU or DBQU) did not meet the treatment shortening criteria outlined in the Target Regimen Profile ([&le;] 3 months). We queried whether a factor leading to this early termination may have been lesional liability, meaning slow or diminished onset of effect in the caseum of complex lung lesions. We conducted a translational study, comparing the easy-to-treat BALB/c mouse, lacking complex lesions, to the hard-to-treat C3HeB/FeJ mouse that develops complex human-like lesions. We evaluated traditional and novel pharmacodynamic markers (colony forming units and RS ratio), relapse outcomes and ex vivo caseum pharmacokinetics. PaBQU and DBQU were slower to elicit bactericidal activity, RS ratio activity and prevent relapse in the C3HeB/FeJ mouse than the BALB/c mouse. A reference regimen (BPaMZ) had less lesional liability than PaBQU and DBQU. Fewer drugs in PaBQU were projected to achieve target attainment in caseum compared to BPaMZ, particularly early in treatment due to slow accumulation of bedaquiline in caseum. Here, we demonstrated application of a multi-modality pharmacokinetic-pharmacodynamic analysis that compared regimen activity in the hard-to-treat C3HeB/FeJ and easy-to-treat BALB/c mouse models, identifying lesional liability of PaBQU and DBQU. Systematic interrogation of additional diverse regimens is needed to determine the value of preclinical lesional liability as a means of predicting clinical treatment shortening activity.

Background: TB vaccine development is hampered by the natural history of M. tuberculosis: most infected people rarely progress to disease, so trials must be very large and long to accrue sufficient disease endpoints. Current trials enrol IGRA-positive participants (IGRA: Interferon-Gamma Release Assays), but IGRAs remain positive for many years and cannot distinguish recent from remote infection. Tests for recent infection are now in development, and we argue they could make trials substantially more efficient. Here, we investigate how screening participants prior to enrolment with a test for recent M.tb infection could impact the total number of enrollees required for an adequately-powered TB vaccine trial. Methods: Using a statistical model of vaccine trial recruitment, we estimated the number needed to contact, test, and enrol to achieve an 'effective' trial (defined as 50 disease endpoints), under IGRA-gated enrolment (life-long duration of positivity) vs. enrolment with a test for recent infection. We considered five recruitment strategies: non-test-based enrolment for ages 15-49, ages 12-34, and household contacts of recent cases; and test-based enrolment using IGRA, and a test for recent infection with two-year duration of positivity. The model explored trial recruitment in South Africa, Kenya, and India. Results: Compared with an extended-positivity test, a test for recent infection reduced the median number needed to enrol by 4.2- to 6-fold under favourable conditions. It also outperformed non-test-based strategies, including enrolling household contacts. This comes at the cost of substantially more testing, but crude estimates suggest recency-based enrolment would still be cheaper overall provided the new test does not cost more than roughly 5-10 times an IGRA. Conclusions: Diagnostics for recent M.tb infection have the potential to improve vaccine trial efficiency, but more research is now needed to understand test characteristics and to evaluate their use in this setting. Our Viewpoint sets out the test attributes that would need to be established, such as time to positivity, duration of positivity, sensitivity, and specificity, before such tests could be used in vaccine trials.

Neutralizing antibodies are a correlate of protection (CoP) of SARS-CoV-2 vaccine efficacy. However, data informing CoPs often explicitly exclude people on immunosuppressive therapies who are at an increased risk of symptomatic and severe COVID-19, delayed viral clearance, and death. Investigating the relationship between antibodies and protection for people on immunosuppressive therapies could provide insights into mechanisms of protection. We performed a systematic search to identify studies reporting SARS-CoV-2 binding antibody levels after mRNA vaccination in people with hematological malignancies, neurological disorders, rheumatic diseases, and mixed immune-mediated inflammatory disorders (IMIDs) on immunosuppressive therapies including B-cell depletion, JAK inhibitors, and S1P inhibitors, as well as healthy controls. Binding antibody levels varied between cohorts receiving different immunosuppressive treatments. Compared to healthy controls the lowest antibody levels were observed in subjects treated with B-cell depletion (54.5-fold reduction, 95% CI: 34.5-86.2) and S1P inhibitors (24.8-fold reduction, 95% CI: 13.2-46.7). To assess the association between antibody level and protection, we used data from a previous study of COVID-19 vaccine effectiveness in people with the same underlying conditions. We linked vaccine effectiveness estimates with the predicted antibody level in people on immunosuppressive therapies (using antibody data including this meta-analysis of binding antibody levels). Predicted neutralizing antibody levels were correlated with vaccine effectiveness both for infection and hospitalization (p<0.0001 and p<0.0001, respectively). However, we found that for any given antibody level, people who are immunosuppressed had lower protection against infection and hospitalization than a healthy population.

Epidemiological, clinical, and experimental data suggest that allergic asthma may have protective effects against severe Coronavirus Disease 2019 (COVID-19) but are often conflicting between different models of infection and epidemiological analyses. Allergic asthma is characterized by type 2 (T2) inflammation, mucus hypersecretion, and airway remodeling. We used a house dust mite (HDM) respiratory exposure model to determine how preexisting allergic inflammation alters the pathogenesis of three highly pathogenic coronaviruses, SARS-CoV-1, SARS-CoV-2, and MERS-CoV. HDM treatment induced canonical features of allergic asthma, including goblet cell hyperplasia, mucin hypersecretion, eosinophil recruitment, M2 macrophage polarization, and induction of IL-13. Across multiple SARS-CoV-2 variants, HDM treated mice exhibited reduced viral titers, less weight loss, diminished lung immunopathology, and improved survival rates. Similar protection was observed in a mouse model of MERS-CoV, with reduced lethality, lower viral burden, and blunted cytokine storm signatures in HDM treated mice. In contrast, allergic airway inflammation exacerbated SARS-CoV-1 pathogenesis, as HDM-treated mice developed fulminant alveolar inflammation, severe weight loss, elevated pro-inflammatory cytokines and chemokines, and increased mortality despite having reduced virus titer. Thus, in mice, allergic airway inflammation exerts opposing virus specific effects on coronavirus pathogenesis. These results reconcile conflicting epidemiological and mechanistic studies across coronavirus epidemics and highlight the need to consider host allergic status as a key variable influencing disease outcome from emerging coronaviruses.

Interstitial lung diseases (ILDs) are heterogeneous pulmonary disorders characterized by chronic inflammation and/or fibrosis. 30-40% of ILD patients develop fibrotic disease that is associated with progressive respiratory decline and poor prognosis, particularly in idiopathic pulmonary fibrosis. Current antifibrotic therapies slow disease progression but do not reverse fibrosis, highlighting the need for improved therapeutic strategies. Robust histopathological evaluation in preclinical models is essential for drug development; however, conventional scoring systems are semi-quantitative, labor-intensive, subject to inter-observer variability, and rely on limited field sampling. Here, we introduce FibroSight, a standalone platform for compartment-resolved quantification of lung remodeling in Sirius Red-stained sections. By integrating deep learning- based structural segmentation with color-based feature extraction, FibroSight enables highly automated whole-lobe analysis without requiring complex computational setup. The platform quantifies complementary remodeling parameters, including parenchymal collagen fraction, parenchymal tissue density, nuclear area fraction, parenchymal airspace fraction, and airway- and vascular-associated remodeling. Validated in the bleomycin-induced fibrosis model, FibroSight-derived metrics strongly correlated with expert Ashcroft scoring and showed stronger associations with histological severity than corresponding outputs from a semi-automated ImageJ-based workflow. The platform further distinguished inflammatory from fibrotic remodeling in influenza-induced lung injury and demonstrated translational proof-of-concept applicability in human ILD biopsy specimens. By enabling scalable, reproducible, and multi-compartment histological quantification, FibroSight provides a practical framework for objective assessment of lung remodeling. This approach expands conventional fibrosis evaluation by integrating fibrotic, inflammatory, airway, and vascular-associated readouts, supporting more precise analysis of disease mechanisms and therapeutic responses in preclinical and translational ILD research.

Background: Invasive non-typhoidal Salmonella (iNTS) disease causes an estimated 605,000 cases and 76,000 deaths each year, concentrated in sub-Saharan Africa, where the African Salmonella Typhimurium sequence type 313 (ST313) lineage predominates. Vaccine development is hampered by an absence of efficacy data and undefined correlates of protection. Methods: We conducted a phase 1, randomised, double-blind, dose-escalation controlled human infection model (CHIM) in healthy UK-resident adults, who were randomly assigned 1:1 to oral challenge with S. Typhimurium 4/74 (ST19, associated with gastrointestinal disease) or D23580 (ST313, associated with invasive disease). Dose-escalation was guided by a Bayesian continual reassessment method (CRM). The primary endpoint was Salmonella diagnosis, defined as sustained fever [&ge;]38{degrees}C on [&ge;]2 occasions [&ge;]12 hours apart and/or bacteraemia. Trial registration ClinicalTrials.gov (NCT05870150). Findings: Between August 2023 and December 2024, 50 participants were enrolled (25 per strain). 105 CFU was the maximum feasible dose, with CRM-estimated attack rates of 57.9% (95% credible interval 37.3 - 73.8) for D23580 and 47.4% (26.7 - 65.7) for 4/74. There were no serious adverse events. We found no clinical, microbiological, or immunological difference between the two pathovariants. Higher baseline serum anti-O-antigen IgG was associated with reduced disease (adjusted OR 0.42, 95% CI 0.17 - 0.90) and higher baseline faecal anti-lipopolysaccharide IgA with reduced colonisation (OR 0.12, 95% CI 0.01 - 0.59). Interpretation: This S. Typhimurium CHIM is safe, reproducible, and provides a platform to generate early efficacy signals and candidate correlates of susceptibility, thereby de-risking future iNTS vaccine trials. The absence of a phenotypic difference between the invasive and gastrointestinal pathovariants in immunocompetent adults suggests that host factors, rather than pathogen adaptation alone, shape the invasive phenotype seen in endemic settings. Funding: Wellcome Trust.

Seeking a simple vaccine to protect against all cancer-associated human papillomaviruses (HPV), L2 residues 17-36 of both HPV16 and HPV31 displayed on the surface of an Adeno-Associated Virus-Like Particle (AAVLP-HPV) was developed. Here, a phase 1 randomized, placebo-controlled, double-blind clinical study has been conducted in 20 male and female subjects at a single dose level (20 ug) without an adjuvant. AAVLP-HPV vaccine administration was safe and well tolerated. Repeat vaccination with AAVLP-HPV elicited L2-specific neutralizing antibodies of modest titer in serum. Antibodies cross-reactive with L2 of diverse HPV types were detected, but responses were weak in most vaccinees. We conclude that while AAVLP-HPV vaccination is well tolerated, an adjuvant is likely needed to consistently elicit durable and broadly neutralizing responses.

Antimicrobial resistance generates a vast, rapidly growing literature, yet no resource offers a comprehensive, evidence-linked repository of AMR findings at scale. We present ResLit, an automated pipeline and public database that mines the AMR literature for resistance genes, mutations, organisms, and mechanisms. From 2 million candidate PubMed records, BioMistral-7B screened abstracts to 356,000 relevant papers; multi-tier retrieval yielded 117,000 full texts, from which Qwen3-30B performed two-step extraction. ResLit contains 3,120 genes and 13,593 mutations, cross-linked to CARD, ResFinder, and NCBI Reference Gene Catalog across four evidence tiers. It further supports community-driven curation of automated outputs and reference databases. Freely available at www.reslit.info.

A minority of asbestos-exposed individuals develop Pleural mesothelioma (PM), suggesting a role for inherited genetic factors. We performed germline whole-exome sequencing of blood from 127 EPIC participants who developed PM and controls. Rare pathogenic/likely pathogenic variants were assessed in 193 cancer-associated genes and were evaluated for association with PM risk and overall survival. Exome-wide gene-based rare-variant aggregation analyses were performed using SKAT-O and Firth logistic regression. A PM polygenic risk score (PRS) was integrated with PTV status and asbestos exposure. Protein Truncating Variants (PTVs) were enriched in cases and associated with increased PM risk (OR=3.5, 95% CI 1.3-11.2, p-value = 0.01). PTV carriers had improved survival and lower mortality after adjustment for age at diagnosis and sex (HR=0.54, 95% CI 0.32-0.92, p-value = 0.023). PTV carriers had lower PRS values, and among individuals with low asbestos exposure, they were associated with increased PM risk (OR=5.75, 95% CI 1.09-58.2, p-value = 0.023). Gene-based analyses identified four novel loci. Rare variants and polygenic background may jointly influence PM risk, however validation in larger cohorts is warranted.

The integrity of the pulmonary vasculature is a key determinant of lung health, yet challenges in visualisation and quantification have hindered interrogation of its pathophysiological role in chronic lung disease. Here, we align recent advances in microscale image acquisition with novel computer vision-based vessel segmentation models to demonstrate expansion of the bronchial and pulmonary veins across varying severities of tissue remodelling in idiopathic pulmonary fibrosis (IPF). Relating these imaging findings to molecular data in control, mild, and severe fibrosis, we show that bronchial venous endothelial cells expand beyond their physiological peribronchial niche even in mild disease, acquiring persistent angiogenic, inflammatory, and matrix-remodelling programmes that define a specialised fibrovascular-immune interface. Finally, we relate these microscale and molecular observations to clinical CT imaging, demonstrating that intrapulmonary vein enlargement independently associates with worsened survival across three IPF cohorts. Collectively, our multimodal, multiscale approach connects previously unresolved three-dimensional venous architecture to its molecular endothelial correlate, establishing venous enlargement as a prognostically significant and clinically relevant feature of IPF. Our analytical approach also demonstrates how biological discoveries made in intact ex vivo human organs can translate into measurable phenotypes in living patients, providing a template for other organs and diseases.

Background: Age is an important determinant of tuberculosis (TB) risk, but population-level age patterns in TB prevalence have not been systematically quantified across settings. We conducted a systematic review of surveys conducted in low- and middle-income countries to quantify trends in TB prevalence across age groups. Methods: We collated age-stratified TB prevalence data for individuals aged 15+ years, from population-based surveys reported between 1993 and 2025. We analyzed data using Bayesian meta-regression models, estimating trends in bacteriologically confirmed pulmonary TB prevalence across age groups. We extended models to understand how age trends varied with alternative outcome definitions and data subsets, and examined correlations between TB age trends and sociodemographic determinants. We also estimated age-stratified notification-to-prevalence ratios as a measure of diagnostic delays for untreated TB. Findings: We included 82 unique surveys reporting age-stratified TB prevalence, spanning 30 countries and 4.6 million participants. These data demonstrated a pattern of increasing bacteriologically confirmed TB prevalence with older age, with each 10-year increase associated with a 30% (95% credible interval: 22, 38) increase in prevalence. TB prevalence for the oldest age group (75+: 796 per 100,000 [522, 1178]) was 6.4 (4.0, 10.4) times higher than the youngest (15-19: 127 per 100,000 [79, 186]), and positive age gradients were estimated for all countries (interquartile range: 23-40% increase per 10-year increase in age). Age gradients were lower in Africa compared to other regions, and for smear-positive compared to bacteriologically confirmed TB. Countries with HIV prevalence [&ge;]5% had flatter age gradients above 40 years of age. Age gradients declined slowly over the study period. Notification-to-prevalence ratios demonstrated a negative age gradient, declining by 10% (7, 14) per 10-year increase in age. Interpretation: The prevalence of untreated TB disease increases substantially throughout adulthood, and lower notification-to-prevalence ratios suggest poorer case detection among older individuals.

Tuberculosis (TB) is a life-threatening disease with heterogenous presentation. Approximately one-quarter of the global population is infected with Mycobacterium tuberculosis (Mtb), yet a much smaller fraction develops active TB disease. Host genetics, immune system function, and environmental factors have all been implicated in susceptibility to Mtb, yet no one factor fully explains TB heterogeneity. Strikingly, many of these same factors are linked to gut microbiome composition, which is intimately linked to systemic development of the immune system. Antibiotic treated mouse models suggest that increased gut microbiota diversity is protective against Mtb infection. In contrast, Helicobacter hepaticus colonization is correlated with exacerbated Mtb burden. However, antibiotics can have both microbial and nonmicrobial targets and studies to date have not deconvoluted these effects. Focused testing of specific microbiome members has been impossible without a gnotobiotic model for Mtb. Here, we develop the first gnotobiotic mouse model for Mtb infection and test how microbial diversity in the gut microbiome impacts host susceptibility to Mtb. Surprisingly, after intranasal challenge with Mtb, germ-free wild type mice had no difference in lung burden when compared to mice born with either a defined gut microbiome community (OMM-12) or a diverse, conventional microbiota. H. hepaticus gut colonization of OMM-12 and conventional mice also did not impact Mtb burden in the lungs in this controlled setting. H. hepaticus colonization of the gut did perturb lung immune responses associated with TB infection control. CD4+ T cells were decreased, CD8+ T cells were increased, and IL-6 production was decreased. While the gut microbiome may yet play a role in immune compromised mouse models or human disease, comparing drastically different gut microbiotas in gnotobiotically controlled C57BL/6 mice did not yield any evidence of alteration in Mtb lung burden. The hosts unique immune response to Mtb may in part make the pathogen resistant to immune disruption caused by gut microbiome changes.

Abstract Objective Our objective was to define the natural history of hyper IgE syndrome. Well, there have been a number of large cross-sectional studies. It has been difficult to provide anticipatory care for the growing adult population. Methods The USIDNET registry was used to identify patients with hyper IgE syndrome. We evaluated all patients regardless of genetic etiology. Complications were extracted as text from the problem list or ICD codes, and each complication was date stamped, which allowed us to estimate the age at which the complication arose. Results Many of the complications previously identified were seen in this cohort. The most feared complications were uncommon, however, developmental delay and psychosis affected nearly a fifth of the cohort which has not been previously reported. Conclusions As the number of adults with hyper IgE syndrome increases our awareness of late onset complications is important. Aspergillus and pneumatoceles were less common than seen in some other cohorts. However, the significant rate of psychosis will represent a significant challenge for clinicians.