Journal of Cystic Fibrosis

RationaleThe CFTR function-phenotype relationship remains incompletely understood, with prior work yielding heterogeneous findings suggesting linear and nonlinear associations. ObjectiveDefine the genotype-function-phenotype relationship using data from the Clinical and Functional TRanslation of CFTR (CFTR2) and human nasal epithelial (HNE) studies. MethodsClinical data (sweat chloride, lung function, pancreatic status) from 84,418 individuals in CFTR2 were linked to CFTR functional measures derived from 289 CFTR genotypes. Total genotype function was calculated as the average percent wild-type chloride conductance of both variants in heterologous cell lines. This framework was applied to an HNE cohort including people with CF, CF heterozygotes, and controls. CFTR function was derived from short circuit measurements in HNEs from 153 individuals and correlated with phenotype for 415 individuals. Weighted linear and logarithmic regressions were applied to evaluate the function-phenotype relationship. Measurements and Main ResultsSimple linear regression obscured marked heterogeneity across datasets. Piecewise linear regressions revealed marked attenuation of slope magnitude with increasing function across phenotypes. This pattern was well-described by a logarithmic function, such that modeling function on a log scale rendered the relationship approximately linear. HNE data demonstrated similar attenuation, corroborating this pattern. ConclusionsLarge-scale natural history data integrated with primary cell findings show that the function-phenotype relationship is not sufficiently described by a single linear effect but is a proportional relationship, in which equivalent changes in CFTR function yield different phenotypic outcomes depending on baseline function. This framework provides precision in predicting clinical benefits from CFTR-directed therapies and identifying meaningful thresholds of CFTR rescue. Impact StatementThis work integrates registry and primary cell data to define the relationship amongst CFTR genotype, CFTR protein function, and clinical phenotype. These findings establish reference points for evaluating the degree of phenotypic improvement anticipated from functional restoration from CFTR-targeted treatments. More broadly, this study advances the understanding of CF disease mechanisms by linking molecular function to real-world clinical outcomes across data sources. At a Glance CommentaryO_ST_ABSScientific Knowledge on the SubjectC_ST_ABSThe relationship between CFTR function and clinical phenotype remains incompletely understood. Prior studies have suggested both linear and nonlinear associations between CFTR activity and disease manifestations. Defining this relationship is increasingly important for interpreting functional data and predicting clinical benefit from CFTR-directed therapies. What This Study Adds to the FieldUsing clinical and functional data from more than 84,000 individuals in CFTR2 together with primary human nasal epithelial cell measurements spanning people with cystic fibrosis, carriers, and unaffected controls, we demonstrate that the CFTR function-phenotype relationship is not adequately described by a single linear model. Instead, the relationship is best fitted by piecewise linear regressions of varying slope conforming to a logarithmic pattern, with the greatest phenotypic gains occurring at the lowest levels of baseline CFTR function. These findings provide a quantitative framework for interpreting functional rescue and predicting therapeutic benefit across the CFTR functional spectrum.

Structured AbstractO_ST_ABSRationaleC_ST_ABSAn estimated 25 million people worldwide have one deleterious variant in the cystic fibrosis transmembrane conductance regulator (CFTR) gene. Chronic respiratory disease symptoms are at an increased prevalence in cystic fibrosis (CF) heterozygotes. ObjectivesDetermine the level of CFTR function in CF heterozygotes compared to individuals without CF-causing variants. Establish whether CFTR function differs between asymptomatic and symptomatic CF heterozygotes. MethodsIndividuals without respiratory symptoms or CF family history were recruited as controls. Heterozygotes were recruited from families with a CF individual harboring null alleles or c.1521_1523del (F508del) in CFTR. CFTR function was measured by short circuit current in primary human nasal epithelial cells (HNEs) from participants. Cell composition was assessed by single cell RNA sequencing. Measurements and Main ResultsCFTR function was variable in cells from control and heterozygous individuals. Mean CFTR function in asymptomatic null (8.8{+/-}0.5{micro}A/cm2 (SEM); n=30) and F508del (8.7{+/-}1.0{micro}A/cm2; n=22) heterozygotes was similar and significantly lower at 54.6% and 53.9% than controls (16.1{+/-}1.1{micro}A/cm2; n=24; p<0.0001). Mean CFTR function in symptomatic heterozygotes (8.4{+/-}1.0{micro}A/cm2; n =15) was 52.1% of controls and did not differ from asymptomatic heterozygotes (p=0.7803). Cell identities and proportions were equivalent between control and heterozygous cultures. HNEs from CF heterozygotes showed variable response to CFTR modulators. ConclusionsCFTR function in primary airway cells exhibits substantial interindividual variability and overlaps between controls and CF heterozygotes. CF heterozygotes exhibit approximately 50% of CFTR function in controls, regardless of symptom status. These findings suggest that respiratory symptoms in CF heterozygotes are influenced by factors beyond CFTR dysfunction. At a Glance CommentaryO_ST_ABSScientific Knowledge on the SubjectC_ST_ABSA growing body of evidence indicates that cystic fibrosis (CF) heterozygotes are at increased risk for a range of common and chronic respiratory diseases. Given that an estimated 10 million individuals in the United States are CF heterozygotes, this population may represent a substantial and underappreciated burden of CFTR-associated disease. However, CFTR function has not been well characterized in CF heterozygotes, and it remains uncertain whether observed clinical phenotypes reflect reduced CFTR activity. Resolving these issues will be essential for clarifying the pathobiology of common respiratory diseases and for evaluating the potential role of CFTR modulator therapy in symptomatic CF heterozygotes. What This Study Adds to the FieldAnalysis of 24 controls and 67 CF heterozygotes revealed substantial interindividual variability in CFTR function, as measured ex vivo in differentiated nasal airway epithelial cells. Mean CFTR function in CF heterozygotes was approximately 50% of that observed in controls. CFTR function did not differ significantly between symptomatic and asymptomatic heterozygotes. These findings suggest that reduced CFTR activity may contribute to symptom susceptibility in CF heterozygotes, but additional factors beyond CFTR dysfunction are likely required for the development of CF-like features. Ethical approval and participant consent statementAll participants provided written consent to the research study under IRB00116966 and/or IRB00235883 and consented to have their anonymized data published. All research was conducted in a fair and ethical manner.

BackgroundNonsense variants in CFTR account for ~10% of cystic fibrosis (CF) variants and cannot be treated with approved CFTR modulators. Translational readthrough agents such as ELX-02 offer a potential therapeutic strategy, but clinical trials evaluated mainly in G542X CFTR nonsense variant and underlined limited efficacy. This study aimed to evaluate ELX-02-mediated CFTR rescue across a broad range of nonsense variants using patient-derived intestinal organoids (PDIOs) to define variant-specific determinants of readthrough efficacy and assess its potential across a genetically diverse CF population. MethodThe ex vivo response to ELX-02 was assessed in 206 PDIOs carrying heterogeneous nonsense variants. CFTR function was quantified using forskolin-induced swelling (FIS) assay after 48-hour exposure to ELX-02. Responses were analysed by genotype and stop codon identity, with secondary validation performed in a selected subset of PDIOs (n = 60). ResultsELX-02-mediated CFTR rescue varied markedly, ranging from responses approaching those observed with approved CFTR modulators (LUM/IVA) to responses at or below detection limit. Overall, maximal responses were modest and at the lower end of the functional range for CFTR modulators. Rescue was dose-dependent and higher in PDIOs carrying two nonsense variants when compared with PDIOs carrying a single nonsense variant combined with a residual or minimal function variant. Nonsense variants in nucleotide-binding domain 1, including G542X, S466X, G550X and R553X, showed relatively higher responsiveness. ConclusionELX-02 induces limited and highly heterogeneous CFTR rescue across nonsense variants. PDIO-based functional screening provides a framework to guide patient selection and stratification for future readthrough therapy trials.

Abstract Introduction Postal sputum sampling represents a potential strategy for patient-led, efficient, and regular sampling, yet little is known about the validity of posting samples for clinical and research purposes in bronchiectasis. This study aimed to validate postal sputum sampling for clinical and research applications in chronic P. aeruginosa infection. Methods Sputum was collected from 12 participants with bronchiectasis and known P. aeruginosa infection. Each sputum sample was divided into four aliquots: two were sent immediately for analysis with or without DNA-Shield (shield-fresh and non-shield-Fresh), while two were transported through the UK postal service, with or without DNA-Shield (shield-posted and non-shield-posted). All aliquots were sent at ambient temperature and subsequently processed for bacterial enumeration through selective culture, detailed antimicrobial susceptibility testing, quantitative PCR (qPCR), 16S microbiome sequencing, metabolomics, and proteomics. Results During postage, there was a median of four days (range, 2-7) between sample collection and processing. 7/12 patients were positive for P. aeruginosa by culture of fresh samples, with 100% agreement in posted samples. Postage did not affect cultured (p=0.81) or amplified load of P. aeruginosa (p=0.94), and no differences were observed in AST profiles across 140 isolates for P. aeruginosa cultured from fresh or posted samples. Metabolomics and proteomics revealed that variation between individuals was significantly greater than between fresh and posted samples, and no significant differences in microbial taxa were observed between samples. No differences were associated with the addition of DNA Shield by qPCR (p=0.19), however, freeze-thaw from -80{degrees}C increased amplified load (p=<0.01). Conclusions We found little evidence of an effect of postage on sputum positivity, recoverable load, AST profile, microbiome, proteome or metabolome in sputum samples. These data suggest postal sputum samples may be a valuable tool for clinical and research applications.

Diabetes is a highly prevalent complication of cystic fibrosis (CF), affecting 50% of adults with CF and over 80% of those with exocrine pancreatic insufficiency (PI) by age 50 years. Development of cystic fibrosis-related diabetes (CFRD) is associated with increased morbidity and mortality mostly due to advancement of chronic obstructive lung disease. Highly effective modulator therapy (HEMT), using precision medications targeting the cystic fibrosis transmembrane conductance regulator (CFTR), improves CFTR function and CF lung disease, but its impact on diabetes pathogenesis remains uncertain. We sought to determine whether two types of HEMT, ivacaftor and elexacaftor/tezacaftor/ivacaftor (ETI), alter diabetes prevalence in two large cohorts of individuals with CF and exocrine PI. For comparison, a non-highly-effective modulator, lumacaftor/ivacaftor (LUM/IVA), was also assessed. Data were provided by the CFTR2 project, a multinational CF registry (for ivacaftor and LUM-IVA), and by the CF Genome Project (CFGP), a predominantly US-based CF cohort (for ETI). Among 32,753 individuals with CF (2,803 treated), ivacaftor was associated with reduced diabetes prevalence (age-adjusted OR=0.55). In contrast, lumacaftor/ivacaftor (not highly effective) was not associated with diabetes prevalence (n=32,749). Among 2,854 individuals with CF (2,458 treated), ETI was associated with reduced diabetes prevalence (age-adjusted OR=0.47). Overall, HEMT (ivacaftor and ETI) was associated with a 25-39% reduction in diabetes prevalence in CF, while a non-highly-effective modulator (lumacaftor/ivacaftor) showed no difference. Precision targeted amelioration of CFTR dysfunction can delay onset of diabetes in a high-risk CF population.

Cystic fibrosis (CF) is characterized by defective CFTR-mediated chloride transport, resulting in elevated sweat chloride concentrations. As people with CF (PwCF) now live longer due to highly effective CFTR modulators, exercise has become integral to maintaining health, yet it introduces additional physiological demands on salt and fluid balance. In this study, we used a wearable microfluidic biosensor (CF Patch) to quantify sweat rate and chloride loss during exercise performed both in the supervised laboratory and remote free-living in PwCF and healthy volunteers (HV). Participants completed exercise sessions under both conditions, with continuous heart rate monitoring and sweat collection with real-time measurement of sweat characteristics. Sweat volume and chloride concentration were assessed by colorimetric image analysis, enabling estimation of total fluid and chloride loss at the end of each exercise session. PwCF exercised for a longer duration at a lower average heart rate during remote exercise compared to laboratory exercise though exercise volume (average heart rate x duration) was greater during remote exercise. There was a positive association between exercise volume and both fluid and chloride loss for both PwCF and HV. PwCF exhibited greater chloride loss for a given exercise volume compared to HV, though fluid loss was similar. Further, compared to HV, PwCF demonstrated significantly greater intra- and interindividual variability in sweat chloride loss across the remote exercise sessions. Collectively, these findings provide evidence for the feasibility and physiological validity of remote exercise assessment and establish the feasibility and physiological validity of wearable sweat sensing for remote monitoring of fluid and electrolyte dynamics during real-world exercise. In addition, the variability of chloride loss in response to exercise suggests utility of the CF Patch in providing personalized fluid and salt repletion data for PwCF and advances the translational potential of digital sweat diagnostics for personalized CF care.

Background Elexacaftor-tezacaftor-ivacaftor (ETI) has been demonstrated to improve lung function in clinical trials; however, evidence describing effects on trajectories and whether long-term improvements are sustained (>1-year) is lacking. We estimated within-person lung clearance index (LCI) trajectories before and after ETI initiation, assessing changes in level and rate of change, alongside acute LCI change, up to three years after ETI initiation. Methods Prospective observational study of children at a tertiary hospital. Children aged 3-17 years with [&ge;]2 LCI testing occasions (i) before and (ii) after starting ETI were used to describe lung function trajectories. Children with [&ge;]1 pre-ETI and [&ge;]1 post-ETI LCI occasion(s) were used to describe acute LCI change after ETI initiation. Age-adjusted LCI trajectories for time periods (i) before and (ii) after ETI initiation were estimated using linear mixed-effects models, and pre- and post-ETI LCIs were compared using paired Wilcoxon tests. Results Mean pre-ETI and post-ETI longitudinal changes in LCI were -0.007 (95% CI: -0.28, 0.27; n=35) and 0.12 (95% CI: -0.17, 0.41; n=20) turnovers per year, respectively. Before ETI initiation, 57% (30/53) of patients had an LCI[&ge;]7.1 turnovers (indicating impaired lung function), compared to 26% (14/53) post-ETI, with a median LCI difference of -0.70 (95% CI -0.84, -0.46; p<0.001) turnovers. Within-individual variability in LCI decreased post-ETI. Conclusions Our real-world data within a unique longitudinal study provide a comprehensive picture of ETI benefit by outlining not only acute improvement in LCI but maintained stability in LCI trajectories and improved LCI stability sustained up to three years post-initiation.

Research on Pseudomonas aeruginosa adaptation in cystic fibrosis (CF) has historically relied on comparing chronic isolates to laboratory reference strains, or evolving reference strains in environments simulating chronic CF. This work has established a small set of genes, including lasR, mucA, and mexZ, as canonical markers of CF patho-adaptation. However, without broad non-CF comparators, it remains unclear how specific these signatures are to CF. We used a structured literature review to define 20 historically emphasized "canonical CF genes", then evaluated their mutational patterns across 4,475 genetically distinct P. aeruginosa genomes from seven defined clinical and environmental contexts. We tested four competing hypotheses: (1) enrichment in adult CF alone, (2) in adult and pediatric CF combined, (3) in chronic lung infections broadly (including non-CF bronchiectasis), or (4) no strong environment-specific enrichment. We found little evidence that canonical gene mutations were specifically enriched in adult CF or CF more broadly. Instead, loss-of-function and individual mutations in genes including mucA, mexB, and mexZ were enriched across chronic lung infections, while most canonical genes (including lasR) showed no strong environment-specific enrichment. These results demonstrate that a canon of genes believed to drive patho-adaptation in CF instead largely reflects the narrow comparative framework of past studies rather than CF-exclusive selection. Our findings emphasize shared evolutionary pressures between CF and non-CF bronchiectasis, highlighting opportunities to exchange research and therapeutic insights across chronic infection clinical contexts.

Background: GINA-based clinical assessment of asthma control provides limited insight into the molecular mechanisms driving disease progression and treatment response. Circulating microRNAs (miRNAs) are implicated in immune regulation and airway remodeling, but their relationship to longitudinal, treatment-specific asthma control is not well characterized. We aimed to identify treatment-specific miRNAs associated with longitudinal asthma control and evaluate their ability to discriminate well-controlled from uncontrolled asthma. Methods: Baseline serum miRNA sequencing data from 491 children in the Childhood Asthma Management Program (CAMP), a randomized trial of budesonide versus placebo, were analyzed, with GINA-based composite symptom scores assessed at baseline and 2, 4, 8, and 12 months. Cumulative link mixed models were fitted across 266 miRNAs to identify associations with longitudinal ordinal asthma control, adjusting for time, baseline status, and treatment. Random Forest classifiers were trained within each treatment group using Group K-Fold cross-validation. Pathway enrichment of validated miRNA targets was performed with DAVID. Results: In the budesonide group, hsa-miR-1224-5p was associated with lower symptom severity and hsa-miR-199a-3p|hsa-miR-199b-3p with higher severity; both associations persisted at 12 months. The placebo group showed a broader pattern, with ten miRNAs associated with symptoms. Random Forest classifiers achieved mean AUC of 0.776 (budesonide) and 0.714 (placebo) for 12-month control status. Budesonide-associated targets were enriched for glucocorticoid-responsive and MAPK/Ras signaling, while placebo-associated targets showed broad enrichment for general regulatory processes. Conclusion: Treatment-specific circulating miRNAs distinguish asthma control over time and implicate distinct signaling pathways, supporting their potential as complementary molecular markers for asthma monitoring in children.

Deterioration of lung function is a major cause of long-term morbidity after hematopoietic stem cell transplantation (HSCT) and lung transplantation (LT). In both settings, obliterative bronchiolitis represents the most common final pathway, with bronchiolitis obliterans syndrome (BOS), representing its clinical correlate. Understanding of the pathophysiological mechanisms leading to BOS is limited by restricted access to human lung tissue and the imperfect relevance of animal models. We hypothesize that transplantation procedures cause bronchial epithelial damage that promotes the development of BOS. To investigate this, we established ex vivo human airway epithelia (HAE) cultures from bronchial biopsies of HSCT and LT recipients, collected prior to the development of BOS, and compared them with non-transplant controls. HAE from HSCT recipients exhibited reduced tissue differentiation ability, associated with defect in mucociliary clearance and impaired barrier integrity, most markedly in one patient who subsequently developed BOS. In contrast, LT-derived HAE showed normal mucociliary clearance and barrier integrity but displayed increased mucin secretion. Donor and recipient-derived cells were detected in both paraffin-embedded biopsies and reconstructed HAE derived from transplant recipients, demonstrating epithelial chimerism. Our data highlight specific modifications of the airway epithelium after LT and HSCT that may represent a first trigger for subsequent BOS development.

Early-life wheezing in children has been associated with microbial alterations along the gut-airway axis, yet studies simultaneously investigating bacterial communities in both compartments remain scarce. The aim of this cross-sectional exploratory pilot study (n=25) was to characterize and compare nasal and stool bacterial communities in preschool children aged 1-4 years with recurrent wheezing and healthy controls using 16S rRNA gene metabarcoding. Across participants, nasal and stool bacteriomes were highly individualized and taxonomically diverse. Overall richness, evenness, and community composition did not differ significantly between healthy children and wheezers in either compartment. However, wheezers displayed markedly higher within-group variability, particularly in nasal communities. Stratification based on microbiome similarity to healthy samples revealed increased Moraxella and reduced commensal genera including Prevotella spp. and Veillonella, along with lower richness and evenness (all p<0.001) in nasal samples with divergent bacterial communities. Stool alterations were more subtle but included trends toward reduced Bacteroides, Faecalibacterium, and Alistipes in wheezers more divergent from healthy controls. Community assembly in both compartments was largely governed by stochastic processes but accompanied by less complex and more fragmented bacterial interaction networks in wheezing children. Cross-compartment correlations were also altered, most prominently involving stool Lactococcus showing stronger and more numerous correlations with nasal taxa in wheezers than in healthy controls. Divergent wheezers exhibited distinct modular network structure and cross-compartment profiles, consistent with a differentiated microbial organization. Together, these findings suggest compartment-specific differences in microbial interaction patterns across the gut-airway axis in early-life wheezing, despite limited differences in overall community diversity. Take home messagePreschool wheezers showed fragmented gut-airway microbial networks and Moraxella-associated airway community stratification despite limited differences in overall diversity.

Background: Although the lung is of low biomass, it harbors a diverse and dynamic microbiome that may influence disease and healing. Existing studies have used diverse sampling methods with high propensities for contamination and sampling error, leading to diverse and unclear results. Here, we characterized the lung microbiome via airway and parenchymal samples to determine variation across patients and sampling methods. Methods: We recruited adult patients undergoing lung resection for suspected or confirmed malignancy. After resection and under sterile conditions, a 1 cm cubic piece of non-cancerous lung parenchyma and a swab from the specimen's bronchus were collected and sent for microbiome analysis via 16S rRNA gene amplicon (V4) sequencing on an Illumina platform. An established bioinformatics pipeline was used to determine taxonomic identification. Baseline clinical and demographic data were compared to microbiome composition. Results: A total of 86 patients were included in the study. Beta diversity (microbial composition) varied significantly by sampling method (biopsy of lung parenchyma versus airway swabs), so all further results were analyzed within sample types. Further analyses revealed significant differences in beta diversity by lobe of the lung, indicating a different microbial composition by anatomic location. Analyses of patient demographics revealed significant differences by age and comorbidities, including chronic obstructive pulmonary disease and atrial fibrillation. Conclusions: The lung harbors a diverse microbiome that differs by anatomic location and patient characteristics. This study provides a framework for more accurate future lung microbiome sampling and characterization.

Objectives Genetic testing is increasingly used in the diagnosis and management of respiratory conditions, including pulmonary fibrosis (PF). The perspectives of people with PF and healthcare professionals (HCP) on the use of genetic testing remain largely unexplored. Methods A qualitative study was undertaken. People living with PF, their caregivers, and HCP were invited to undertake a semi-structured interview. Interviews were conducted via videoconference or telephone, audio-recorded, and transcribed verbatim. Data were analysed by two researchers using inductive thematic analysis. Results Thirty-eight participants; 15 people living with PF, 1 caregiver, and 22 HCPs were interviewed. Analysis revealed three key themes. Genetic testing in PF was valued by all groups; people with PF wanted testing now, whilst respiratory physicians were cautious, citing their uncertainty regarding clinical value. All groups desired more information and support; people with PF desired a better understanding of terminology, whilst genetic counsellors wanted to better understand PF. No single model for returning genetic results in PF was identified, however resources, multidisciplinary care, and timely return of results was considered important. Conclusion Genetic testing is valued by people with PF and their HCP, but uncertainties remain regarding whether it should be offered and how results should be best communicated.

Gene therapy has been the subject of extensive research following the advent of gene-editing technologies. Genetic disorders with difficult-to-target tissues, such as cystic fibrosis (CF), still face many challenges in developing efficacious gene therapy. The potential universal approach of gene replacement involves inserting a functional CFTR gene after generating DNA double strand breaks using gene editors such as CRISPR/Cas9. However, this strategy has not achieved clinical significance, as CRISPR/Cas9-mediated integration of CFTR is limited primarily by the infrequent activity of the homology-directed repair (HDR) pathway. To circumvent this limitation and improve CFTR transgene integration and expression, we explored a method of adding a second integration site, which we termed the dual-locus-targeting method. Using a helper-dependent adenoviral vector (HDAd)-delivered CRISPR/Cas9 system in porcine epithelial cells, we found that sequential delivery of two vectors, one targeting the CFTR locus and the other the genomic safe harbour site GGTA1, enhanced the integration efficiency of lacZ and CFTR donor genes to 16.5% and 3.4%, respectively. These results demonstrated a potential strategy to improve the efficacy of CFTR replacement for the development of a universal and permanent gene therapy treatment for CF lung disease. GRAPHICAL ABSTRACT O_FIG O_LINKSMALLFIG WIDTH=200 HEIGHT=76 SRC="FIGDIR/small/731381v1_ufig1.gif" ALT="Figure 1"> View larger version (17K): org.highwire.dtl.DTLVardef@1774590org.highwire.dtl.DTLVardef@1782915org.highwire.dtl.DTLVardef@1d13b12org.highwire.dtl.DTLVardef@17d3f93_HPS_FORMAT_FIGEXP M_FIG C_FIG

Background: Pediatric chronic pancreatitis (CP) carries an elevated lifetime risk of pancreatic ductal adenocarcinoma (PDAC), yet the cellular and molecular mechanisms driving disease progression and early neoplastic transformation remain undefined. Methods: We performed single-nucleus RNA sequencing (snRNA-seq) on pancreatic tissue from 15 pediatric CP individuals and 6 healthy controls (HC). Findings were integrated with peripheral blood flow cytometry immunophenotyping of 8 CP and 7 HC individuals and validated by histopathological assessment. Findings: We identified 15 distinct cell populations and profound cellular remodeling in CP, including a 46% reduction in acinar cells and emergence of inflammatory fibroblasts as the dominant stromal population. Acinar-to-ductal metaplasia (ADM) and pancreatic intraepithelial neoplasia (PanIN) populations bearing early PDAC-associated transcriptional signatures were detected in most CP samples. Cell-cell interaction analysis revealed that 68% of CP-specific ligand-receptor interactions converged on ADM and PanIN populations via ECM-integrin and inflammatory pathways. Peripheral blood flow cytometry demonstrated concordant systemic immune activation, including elevated monocyte CCR2 and CD80, increased CD69 on T cells, and upregulated ROR{gamma}t in regulatory T cells. Interpretation: This atlas defines the cellular landscape and intercellular signaling networks underlying pediatric CP, identifying inflammatory fibroblasts and early neoplastic cell states as central features. These findings provide a molecular foundation for understanding cancer risk in pediatric CP and provide a resource to prioritize studies into potential therapeutic targets and biomarkers. Funding: This work was supported by the Network for Pancreatic Organ donors with Diabetes (nPOD) and The Leona M. & Harry B. Helmsley Charitable Trust.

Background Idiopathic Pulmonary Fibrosis (IPF) is a fatal chronic lung disease with limited therapeutic options. While alveolar epithelial injury and fibroblast activation are well-studied, endothelial-mesenchymal transition (EndoMT) is emerging as a critical pathogenic mechanism. The regulatory role of exosomal miRNAs in pulmonary fibrosis remains unclear. This study investigates serum exosomal miRNAs, particularly let-7a-5p, in modulating EndoMT during the onset of pulmonary fibrosis. Methods Clinical cohorts of IPF patients and healthy controls were enrolled. Serum exosomal miRNAs were profiled, followed by differential expression and functional enrichment analyses. In vitro experiments involved human pulmonary artery endothelial cells (HPAECs) transfected with let-7a-5p mimic or inhibitor. Dual-luciferase reporter assays confirmed the binding between let-7a-5p and TGFBR1. HPAECs were co-cultured with lung epithelial cells to examine paracrine signaling. In vivo studies used a bleomycin-induced mouse model with let-7a-5p agomir administration. Assessments included histopathological staining, hydroxyproline content, Western blot, qPCR, micro-CT, and pulmonary function tests. Results Let-7a-5p was significantly downregulated in serum exosomes from IPF patients, correlating with clinical indicators. Mechanistically, let-7a-5p directly bound the TGFBR1 3'UTR to inhibit its expression. Inhibition of let-7a-5p upregulated -SMA, FN1, smad2/3 phosphorylation, and collagen I, while downregulating CD31 and VE-cadherin. Therapeutically, let-7a-5p mimic reversed bleomycin-induced EndoMT and suppressed epithelial-mesenchymal transition (EMT) via paracrine signaling. Mice administered agomir showed reduced fibrosis, improved lung function, and suppressed TGF-{beta}/Smad signaling. Conclusion Serum exosomal let-7a-5p suppresses pulmonary fibrosis by targeting TGFBR1 to inhibit EndoMT. Its downregulation in IPF patients correlates with disease progression, highlighting its biomarker potential.

RATIONALE: Airway mucus plugging is a clinically relevant manifestation of airway pathology in chronic obstructive pulmonary disease (COPD) and is associated with increased mortality even in early disease; however, visual computed tomography (CT) assessment is subjective and labor intensive. OBJECTIVES: To develop an AI-based quantitative CT method for automated detection of airway mucus plugging and evaluate associations with physiologic impairment and clinical outcomes. METHODS: Inspiratory CT scans from 8,971 COPDGene Phase 1 (GOLD 0-4 and PRISm) participants were analyzed. An AI-based framework combining 3D airway segmentation discontinuities and convolutional neural network classification identified mucus plug obstructions, yielding mucus plug burden (total plug count). Associations with outcomes were evaluated using covariate-adjusted models. MEASUREMENTS AND MAIN RESULTS : Higher mucus plug burden was associated with lower post-bronchodilator FEV % predicted ({rho} = -0.41; P < 0.001), greater air trapping (LAA < -856 HU; {rho} = 0.33; P < 0.001), worse health status (SGRQ; {rho} = 0.31; P < 0.001), and shorter 6-minute walk distance ({rho} = -0.26; P < 0.001). Among GOLD 1-4 participants, mucus plug presence was independently associated with increased all-cause mortality (adjusted hazard ratio, 1.28; P < 0.005) and exacerbation frequency (adjusted incidence rate ratio, 1.32; P < 0.005). Plug presence was also associated with increased respiratory mortality across GOLD categories and cardiovascular mortality in GOLD 1-2. CONCLUSIONS: AI-based quantitative CT assessment of airway mucus plugging provides a scalable, reproducible measure associated with physiologic impairment and adverse outcomes in COPD, supporting its role in risk stratification and future therapeutic studies.

Background Advancements in medical imaging have enabled non-invasive diagnosis and staging of cystic fibrosis (CF) using CT scans, revealing dilated airways, an increased number of visible airways, and airway generation splits in these patients. However, manual characterization of airways remains time-consuming and challenging due to the numerous structural changes, thereby limiting clinical feasibility. This study aims to develop an automated algorithm to characterize airways from segmented lung CT scans and apply this to a retrospective population. This approach reduces the time required to analyze images and obtain disease-staging results. Methods This framework consists of two stages. The first stage extracts and skeletonizes the airway tree from lung CTs, while the second stage measures lung features, including airway volumes, branch counts, generation splits, diameters, and cross-sectional areas. This permits comprehensive characterization for use in clinical assessment. Results The airways analysis was performed on 169 CT volumes ranging in age from 6 to 18 years of age, revealing substantial differences in detected airway branches, generation splits, and normalized airway volume between the control and CF groups. The framework also measures airway diameters and cross-sectional areas, revealing an increase in the number of small airways in cystic fibrosis patients, due to early bronchiectasis. These findings align with previous research and demonstrate the framework's ability to accurately quantify airway changes in patients with CF. Discussion The framework extracts entire airway trees, facilitating measurements of volume, branch count, diameters, and cross-sectional areas, which change with CF severity and/or treatment. However, partial lung atelectasis can limit the accuracy of airway detection in moderate-to-severe cases. Funding NIA U54 AG054345 and NIA R21 AG07857501

Primary cilia coordinate signaling pathways that regulate tissue homeostasis and development, and defects in cilia contribute to numerous ciliopathies. However, the transcriptional consequences of disrupting ciliary protein localization remain poorly defined. ARL13B is a cilia-enriched regulatory GTPase required for ciliary trafficking and signaling. The ARL13BV358A variant is undetectable in cilia yet retains known biochemical functions, providing a unique model to investigate the functions of ciliary ARL13B independently of ciliogenesis. To define transcriptional programs associated with loss of ciliary ARL13B, we generated two independent Arl13bV358A/V358A kidney epithelial cell lines and matched rescue lines. The ARL13BV358A mutation did not affect ciliation frequency or cilia length but altered ciliary protein composition, including loss of ARL3 and INPP5E localization and increased accumulation of GPR161 and TULP3. RNA sequencing revealed expression changes in genes associated with ciliary biology, mechanotransduction, epithelial organization, and kidney-related phenotypes. Despite similar ciliary phenotypes, the independently-derived, mutant clones displayed substantial transcriptomic heterogeneity, highlighting a potential source of variation in CRISPR-based transcriptional studies. By integrating data from the independent mutant and rescue clones, we identified a high-confidence set of 131 genes whose expression reproducibly tracked with loss and restoration of ciliary ARL13B. Together, these findings demonstrate that ciliary ARL13B is required to maintain normal ciliary composition and gene expression programs and underscores the value of multi-clone, rescue-based experimental designs for robust transcriptomic analyses. Summary for ReviewersThis study examined how excluding the protein ARL13B from primary cilia affects kidney epithelial cells. The researchers created two independent cell lines carrying a modified form of ARL13B,along with matched rescue cell lines. The findings show that ciliary ARL13B helps maintain normal ciliary composition. By comparing the cell lines, the researchers identified a high-confidence set of genes associated with loss of ciliary ARL13B. By highlighting the importance of using independent gene-edited clones and rescue-based controls, these results advance understanding of how cilia regulate kidney cell function and provide guidance for designing robust transcriptomic analyses.

Introduction Patients undergoing polypectomy at colonoscopy remain at risk of metachronous neoplasia despite surveillance guided by histopathological features. Mutational profiling of adenomas, including canonical driver mutations in APC, KRAS, and TP53, may offer additional predictive value. This study aimed to determine whether mutational status in index adenomas was associated with metachronous lesion risk. Methods The INCISE cohort included patients aged 50 to 74 years who underwent polypectomy within the Scottish Bowel Screening Programme and subsequent surveillance colonoscopy within 6 years. Targeted next-generation sequencing was performed on formalin-fixed paraffin-embedded polyps. Driver mutation frequency, tumour mutational burden (TMB), and variant allele frequency (VAF) were analysed and correlated with histopathological features and metachronous outcomes using appropriate statistical models. Results A total of 895 adenomas from 723 patients were analysed. In conventional adenomas, as the number of high-risk histopathological features (size >=10mm, villous architecture, and high-grade dysplasia) increased there was a stepwise increase in the proportion of samples with a mutation in KRAS from 13% to 51% (padj<0.001) and TP53 from 8% to 35% (padj<0.001). However, neither mutation frequency (p=0.901), nor median tumour mutation burden (TMB) (2.27 vs 2.15 mut/Mb, p=0.242), in index adenomas was associated with the development of metachronous lesions. Conclusions While classical driver mutations reflect histopathological progression within adenomas, they do not predict metachronous lesion risk post-polypectomy. Targeted mutation profiling alone is insufficient for surveillance risk stratification, highlighting the need for integrated molecular approaches in this setting.