Citations

Abstract Rationale: Individuals with chronic obstructive pulmonary disease (COPD) have different clinical trajectories, some with minimal symptom burden, others experiencing recurrent exacerbations, the most severe of which require hospitalization. Existing diagnostics, including spirometry and symptom assessments, lack the precision to identify high-risk patients who may benefit from timely preventive therapies. Nuclear cell-free DNA (ncfDNA) is a well-established marker of systemic tissue injury, implicated in amplifying inflammation by triggering type 1 interferon release by activating DNA-sensing pathways. Because COPD is accompanied by inflammation and tissue injury systemically, we hypothesized that ncfDNA is associated with increased risk of severe exacerbations requiring hospitalization. Methods: Design: We utilized baseline plasma samples randomly selected from 672 individuals with COPD from the Subpopulations and Intermediate Outcomes Measures in COPD Study (SPIROMICS) cohort, which prospectively collected exacerbation numbers and type. The primary endpoint was exacerbation requiring hospitalization. Secondary endpoints included total number of exacerbations (defined as use of oral steroids, antibiotics, or healthcare utilization) and severe exacerbations (defined as requiring emergency room care or hospitalization). Measure: We measured plasma ncfDNA using digital droplet PCR. Analysis: We assessed the association of ncfDNA with exacerbation outcomes using negative binomial regression or Cox regression, adjusting for age, percent post-bronchodilator forced expiratory volume in one second (FEV1), supplemental oxygen use, and smoking status. Results: In total, 57% (n=383) of COPD participants experienced exacerbations, 29% (n=197) at least one severe, and 22% (n=145) requiring hospitalization, the latter at a median of 622 days from enrollment (IQR=287-997). Higher ncfDNA levels at enrollment correlated with measures of COPD severity, including baseline FEV1 (beta = -0.12, 95% CI -0.18 to -0.049, p <0.001). Higher ncfDNA associated with increased risk of COPD exacerbation requiring hospitalization (incidence rate ratio (IRR) 1.40, 95% CI 1.12-1.75, p =0.003) and severe exacerbations (IRR 1.36, 95% CI 1.11-1.67, p=0.002) and a trend towards total exacerbations (IRR 1.11, 95% CI 0.98-1.26, p= 0.09). The primary outcome, risk of time-to-first hospitalization, correlated significantly with higher ncfDNA with hazard ratio (HR) 1.23, 95% CI 1.01-1.49, p=0.037. Conclusion: These results suggest that ncfDNA may serve as a predictor for severe and hospitalization-associated COPD exacerbations. To better understand the relationship between ncfDNA and COPD pathophysiology, follow-up studies should explore longitudinal trends and cfDNA tissue sources, and their link to COPD exacerbations.

Abstract Rationale. Bronchoscopy can directly assess cells in airway epithelium in participants with COPD, but it is invasive, expensive, difficult to perform at scale, and contraindicated in severe disease. Blood is much more easily available but contains only a limited subset of cell types, many of which are less relevant to lung biology. Recent advances in RNA-sequencing technology have allowed for reliable measurement of transcriptomics in a wider variety of more accessible tissues, including hair follicle cells. We collected and performed bulk RNA-seq on hair follicles as an ancillary study within the NIH-funded SubPopulations and Intermediate Outcome Measures in COPD Study (SPIROMICS) and investigated their cell type composition to better understand the opportunities and limitations of this tissue for the study of lung disease. Methods. SPIROMICS recruited individuals with and without COPD aged 40-80 years with ≥ 20 pack-years smoking history. Participant at several sites underwent collection of approximately 10 hair follicles from the head, which were immediately frozen at -80ºC in 2018-21. mRNA in hair follicles was measured by bulk RNA-seq, and cell type deconvolution was performed using GEDIT v1.7 with the provided BlueCodeV1.0.tsv reference matrix. Cell types were collapsed into broader categories by summing the estimated cell type proportions. Results. The cell type deconvolution of the hair follicle bulk RNA-seq from 80 participants with and without COPD estimated that the tissue was largely composed of immune cells (median 36%, including B cells, T cells, neutrophils, macrophages, NK cells, and monocytes) and epithelial cell types (median 31%), with the largest subgroup of epithelial cell types identified as hair follicular keratinocytes (Figure 1). The next largest component was fibroblasts (median 9%), followed by endothelial cells (median 8%). Signals for myocytes (median 5%), melanocytes (median 5%), and chondrocytes (median 5%) were also present. Conclusion. This initial study demonstrated promising signals for a variety of lung-relevant cell types in hair follicles in SPIROMICS, including immune and epithelial cells in addition to fibroblasts and endothelial cells that are not otherwise easily accessible. Hair follicle gene expression profiling shows promise for understanding numerous facets of lung biology and disease that both complements and exceeds that of other noninvasive tissues such as blood.

Abstract Rationale: The club cell secretory protein (CC16), encoded by the SCGB1A1 gene, has an anti-inflammatory role in airways diseases, including asthma (Li, AJRCCM 2023; Voraphani, AJRCCM 2023). We hypothesize that additional pathway genes regulated or co-expressed with CC16 have cumulative effects on asthma severity outcomes by modulating airway inflammation and maintaining lung homeostasis. Methods: As published previously, four genes were downregulated in CC16 knockout experiments and correlated with CC16 levels: BPIFA1, SFTPD, LTF, and LYZ (Iannuzo, Front. Immunol 2023). We developed a four-gene biomarker score in 94 patients with asthma from the NHLBI-sponsored Severe Asthma Research Program (SARP3) who underwent research bronchoscopy for lower airway epithelial brushings, RNA isolation, and bulk RNA sequencing. We log-transformed the raw values of each transcript; obtained standardized residuals from regression models that included sex, age, and batch effects; and summed the standardized residuals of all four proteins to estimate a standardized sum score (Zhai, JACI Allergy 2024). Logistic regression models tested the four-gene score, three-gene score without LTF, and individual transcripts for associations with exacerbations during 12-month follow-up and zero-inflated negative binomial regression for number of exacerbations. Results: 30.85% percent of 94 patients experienced at least one exacerbation at the end of follow-up. The CC16-associated four-gene biomarker score showed protective effects on asthma exacerbation risk with a 54% percent reduction in exacerbation risk for every one-fold higher score (OR=0.46, 95% CI: 0.27-0.78, p =0.0040, Figure 1). Transcript expression of BPIFA1 (OR=0.87, 95% CI:0.66-1.16, p=0.337), SFTPD (OR=0.33, 95% CI:0.04-2.52, p=0.283), LYZ (OR=0.62, 95%CI:0.28-1.39, p=0.248), and LTF (OR=0.36, 95% CI:0.18-0.74, p=0.0053) all indicated protective directionality with respect to exacerbation risk. However, only LTF demonstrated a statistically significant association. When we excluded LTF, the remaining three-gene score showed a trend toward association with risk (OR=0.64, 95% CI:0.40-1.03, p=0.068) and was significantly associated with number of exacerbations (RR=0.49, 95% CI:0.26-0.95, p=0.034). Compared to LTF alone (OR=0.48, PPV=0.50, NPV=0.71, Sensitivity=0.14, AUC=0.65), the combined four-gene score (OR=0.46, PPV=0.60, NPV= 0.73, Sensitivity=0.21, AUC=0.68) showed improved predictive performance. Conclusions: We identified a CC16-associated transcriptomic predictive score for asthma exacerbations, with LTF showing the strongest effect. Although the other three genes showed individually weak and non-significant associations with exacerbations, the three gene score was significant for number of exacerbations.We demonstrate the potential of this transcriptomic score as a predictive biomarker for asthma severity-related outcomes. Further research investigating these genes and their interaction with other CC16-associated immune pathways could provide insight into therapeutic targets.

Abstract RATIONALE: Albuterol-budesonide 180/160 µg is indicated in the US for as-needed treatment or prevention of bronchoconstriction and to reduce risk of exacerbations in patients ≥18 years old with asthma. The objective of the ALbuterol-budesonide Treatment in Acute airway obstruction (ALTA) study (NCT05555290) is to assess comparative efficacy, safety, and mechanisms of action of albuterol-budesonide 180/160 µg versus albuterol 180 µg in treating and preventing bronchoconstriction. This report describes the clinical profiles of patients meeting criteria for randomization into the trial. METHODS: ALTA is a phase 3b, multicenter, randomized, double-blind, 2-period, cross-over study evaluating the effects of repetitive dosing of albuterol-budesonide 180/160 µg versus albuterol 180 µg for treating adults treated as intermittent asthma and experiencing acute airway obstruction induced by repeated mannitol challenges. Inclusion criteria evaluated during screening include asthma diagnosis ≥6 months, prescribed and utilizing albuterol as the only asthma treatment for ≥4 weeks, pre-bronchodilator FEV1 ≥1.50 L and FEV1 ≥60% to <90% predicted, and positive response to a mannitol challenge (decrease in FEV1≥15% at ≤635 mg cumulative mannitol dose). Exclusion criteria include clinically significant lung disease other than asthma; any smoking in the prior 6 months or ≥10 pack-year smoking history; or a clinical encounter for asthma worsening within the past 4 weeks. RESULTS: Thus far, 84 patients have met the criteria for randomization into ALTA. Mean(SD) age=44.9(13.7) years, 56.0% female, 40.5% African American, 9.5% Hispanic/Latino. Clinical characteristics include 10.7% with 1 prior-year severe exacerbation; mean(SD) fractional exhaled nitric oxide=37.0(37.4) ppb; mean(SD) baseline pre-bronchodilator FEV1=2.464(0.538) L; mean(SD) baseline percent predicted FEV1=76.7(7.9)%; mean(SD) % fall in FEV1 with mannitol challenge=22.1(7.3)% at a mean(SD) cumulative mannitol dose of 146.4(176.3) mg. Despite being treated for intermittent asthma, based upon symptoms, lung function, and exacerbation history, no patients met NAEPP 2007 criteria for intermittent disease, and 13.1% fell into the mild, 78.6% moderate, and 8.3% severe persistent asthma categories (Figure). With respect to asthma control, as measured by Asthma Impairment and Risk Questionnaire scores, 60.7% had well-controlled, 20.2% not well-controlled, and 19.1% very poorly controlled disease. CONCLUSION: The baseline characteristics of patients in the ALTA study reveal that patients treated as intermittent asthma exhibit heterogeneity in clinical characteristics, airway hyper-reactivity, T2 inflammation, and disease severity and control. Additional genomic and biomarker data are forthcoming and altogether will provide an opportunity to address the mechanism of albuterol and budesonide interactions in a broad spectrum of asthma phenotypes.

Abstract RATIONALE: Airway remodeling, a key characteristic of severe asthma, leads to progressive loss of lung function and incomplete reversibility of airflow obstruction. We examined the effect of benralizumab on lung function in patients from the pooled SIROCCO (Bleecker ER, et al. Lancet 2016; PMID: 27609408) and CALIMA (FitzGerald JM, et al. Lancet 2016; PMID: 27609406) studies, utilizing a new analysis of spirometry to highlight important changes in forced expiratory volume in 1 second (FEV1) and forced vital capacity (FVC) throughout the studies. METHODS: This retrospective analysis pooled data from the randomized, placebo-controlled, double-blind Phase 3 SIROCCO and CALIMA studies. SIROCCO enrolled patients with severe asthma, while CALIMA enrolled patients with moderate-to-severe asthma, both with a planned 2:1 randomization for baseline blood eosinophils ≥300 cells/μL versus <300 cells/μL. All patients (aged 12-75 years) had ≥2 exacerbations in the previous year, despite use of medium- to high-dose inhaled corticosteroids plus additional controllers. Patients in this analysis received subcutaneous benralizumab 30 mg every 8 weeks (Q8W; first three doses given every 4 weeks) for 48 weeks in SIROCCO and 56 weeks in CALIMA. The changes in FEV1 and FVC following bronchodilator (BD) were measured at baseline and study end. Effects on FEV1 and FVC were further stratified by baseline eosinophil count (≥300 cells/μL or <300 cells/μL). Results are reported as mean (standard deviation). RESULTS: Overall, 839 patients received benralizumab Q8W; 557 had a baseline eosinophil count of ≥300 cells/μL and 282 had <300 cells/μL. At baseline, pre- and post-BD FEV1 were 1722 mL (615; n=837) and 2128 mL (755; n=813). At study end, pre- and post-BD FEV1 were 2029 mL (756; n=735) and 2225 mL (800; n=738). At baseline, pre- and post-BD FVC were 2865 mL (905; n=837) and 3285 mL (971; n=813). At study end, pre- and post-BD FVC were 3214 mL (1010; n=735) and 3379 mL (1021; n=738). Pre-BD FEV1 and FVC improved by 307 mL and 349 mL and post-BD FEV1 and FVC improved by 97 mL and 94 mL between baseline and study end, respectively. Stratified by baseline eosinophil count, findings were similar in both groups (Figure). CONCLUSIONS: Benralizumab treatment resulted in both improved FEV1 and FVC while maintaining BD response in patients with uncontrolled, moderate-to-severe asthma. Improvements were seen in patients with baseline eosinophil counts of both ≥300 cells/μL and <300 cells/μL. These results may reflect reduced hyperinflation, potentially due to improved airway inflammation and mucus plugging.

Importance A subset of Union for International Cancer Control ( UICC )/ American Joint Committee on Cancer ( AJCC ) eighth edition TNM stage I and II human papillomavirus–positive oropharyngeal carcinoma has undesirable outcomes, which might have contributed to a lack of success in phase III deintensification trials. Refining clinical stage groups, especially in the overabundant cN1/stage I group, has become important for treatment selection. Objective To assess the prognostic importance of pretreatment lymph node (LN) characteristics to optimize case distribution and outcome homogeneity within the N classification system. Design, Setting, and Participants This is an international multi-institutional retrospective prognostic cohort study. Analysis of human papillomavirus–positive oropharyngeal carcinoma treated curatively from 4 institutions (International Collaboration of Oropharyngeal Cancer Network for N-Classification [ICON-N] dataset) provided a refined clinical staging proposal; an independent dataset (Centre Hospitalier de l’Université de Montréal [CHUM] dataset) validated the proposal. Neuroradiologists reviewed pretreatment computed tomography and/or magnetic resonance imaging for nodal features, including presence or absence of abnormal LN(s), retropharyngeal LN, laterality, number of abnormal LN, and imaging-detected extranodal extension (iENE). Data were collected from February to May 2023, and data were analyzed from June to July 2023. Exposures Definitive chemoradiotherapy/radiotherapy or definitive surgery with or without postoperative chemoradiotherapy/radiotherapy. Main Outcomes and Measures The primary end point was overall survival. A Cox proportional hazards multivariable model was used to estimate adjusted hazard ratios (AHRs) and to derive an optimal clinical TNM stage classification (AHR-stage schema) incorporating the strongest prognostic nodal features within the UICC/AJCC eighth edition TNM framework after confirming the prognostication of iENE status. The performance (according to overall normalized scores and ranking) of the AHR-stage schema against the current UICC/AJCC eighth edition TNM staging system was evaluated for hazard consistency, hazard discrimination, prognostic importance, and sample size balance. Validation was performed in the CHUM dataset. Results The ICON-N dataset comprised 2053 patients, including 1898 (92.5%) with cN-positive disease and 155 (7.5%) with cN0 disease; a total of 298 (14.5%) were female, and the mean (SD) age was 60.6 (9.3) years. iENE-positive disease was identified in 710 of 1898 patients with cN-positive disease (37.4%). The median (range) follow-up was 5.1 (0.1-14.7) years. iENE was the strongest prognostic nodal feature in multivariable analysis; the AHR for iENE-positive vs iENE-positive disease was 2.43 (95% CI, 1.96-3.03) in the ICON-N dataset and 2.04 (95% CI, 1.28-3.23) in the CHUM dataset (n = 451). Reclassifying iENE-positive cases 1 stratum higher for N categorization without altering iENE-negative cases yielded an AHR-stage schema that outperformed the current TNM staging system in disease-free and overall survival with a lower (ie, better) overall normalized score (2 vs 3). Conclusions and Relevance In this study, reclassifying each N category 1 stratum higher for iENE-positive disease resulted in better disease-free and overall survival. The proposed new classification outperformed the currently TNM staging system in risk stratification and may facilitate future clinical trial design, outcomes research, and patient care.

PURPOSE Survival for patients with melanoma has recently improved. The propensity of melanoma to metastasize to the brain remains a common and serious feature of this disease. The purposes of this study were to evaluate prognostic factors for patients with newly diagnosed melanoma brain metastases (MBMs) in a large cohort treated with modern multimodal therapies, compare those results with those in prior eras, and update the Melanoma Graded Prognostic Assessment (GPA). METHODS Univariable and multivariable (MVA) analyses of prognostic factors and treatments associated with survival were performed on 1,796 patients with newly diagnosed MBM treated between January 01, 2015, and December 31, 2021, using a multi-institutional retrospective database. Multiple imputation was used to address missingness of potential predictors. Significant variables in combined MVA were used to update the Melanoma GPA. Comparisons were made with legacy cohorts. RESULTS Median survivals for cohorts A (1985-2007, n = 481), B (2006-2015, n = 823), and C (2015-2021, n = 1,796) were 6.7, 9.8, and 16.6 months and median follow-up times were 40.1, 43.6, and 48.8 months, respectively. In combined MVA, significant prognostic factors for survival were higher Karnofsky Performance Status, fewer MBMs, absence of extracranial metastases, lower serum lactate dehydrogenase, and no immunotherapy before MBM. These factors were incorporated into the updated Melanoma GPA. The combined median and 3-year survivals for patients with GPA 0-1, 1.5-2, and 2.5-4.0 were 5.4, 13.2, and 43.2 months and 12.4%, 28.8%, and 51.6%, respectively. CONCLUSION Prognostic factors have changed and survival has improved for patients with MBM but varies widely by GPA. The updated Melanoma GPA calculator (BrainMetGPA), available free online, can be used to estimate survival, individualize treatment, stratify clinical trials, guide surveillance, and augment clinical trial eligibility. Multidisciplinary treatment is essential. Trials are needed to elucidate the optimal sequencing of various therapeutic modalities.

Nonspecific symptoms and other diagnostic challenges lead to underdiagnosis of cardiac amyloidosis (CA). Artificial intelligence (AI) could help address these challenges, but a summary of the performance of these tools is lacking. This narrative review of published literature describes the performance of AI tools that use data from ECGs and echocardiography to improve identification of CA and challenges that hinder adoption of these tools. Thirteen studies met inclusion criteria with sample sizes ranging from 50 to 2451 patients. Four studies used ECG data, 8 used echocardiography data, and 1 used both. The CA gold standard was typically defined as a CA diagnosis in an institutional or other database but the requirements for these diagnoses were heterogenous across studies, and many did not distinguish among CA subtypes. AI model development varied considerably, and only 4 studies included external validation. The ability of models to predict CA ranged from 0.71 to 1.00, sensitivity ranged from 16% to 100%, and specificity from 75% to 100%. Only 1 study reported model performance across strata of sex, age, race, and CA type. Persistent challenges to AI adoption include usability, cost, value added, electronic health record/information technology interoperability, patient‐related factors, regulation, and privacy and liability. Published studies on AI for improved identification of CA show favorable performance measures but numerous methodologic and other challenges must be addressed before these tools are more widely adopted.

Background/Objectives: This study aimed to establish the clinical utility of a therapeutic drug monitoring (TDM)-supported, model-informed precision dosing (MIPD) approach (precision-guided dosing [PGD]) by assessing the impact of pharmacokinetic (clearance [CL]) and clinical laboratory parameters on adalimumab (ADA) dosage adjustments during maintenance therapy for inflammatory bowel disease (IBD). Methods: In the EMPOWER study, blood was collected at any time post-ADA injection. Pharmacokinetic (PK) testing was conducted in an accredited lab. Inputs for the PGD test included ADA concentrations, antibodies to ADA, albumin levels, and the current dosing regimen. CL was calculated using nonlinear mixed-effect models. Results were reported to health care providers (HCPs) within 3 days. HCPs’ treatment decisions were recorded and classified as treatment reduction, continuation, intensification, or ADA discontinuation. The physician global assessment (PGA) of disease activity was collected. Relationships between drug concentrations, CL, disease activity, and physician decision-making were assessed using logistic regression. Results: A total of 213 cases were assessed by 21 HCPs. ADA treatment was intensified in 24% and discontinued in 13% of cases. An ADA concentration ≤ 10 μg/mL was associated with a 23.7-fold and 3.0-fold higher likelihood of therapy intensification and PGA > 0, respectively, compared to concentrations > 10 μg/mL. An ADA concentration < 5 μg/mL was associated with a 3.3-fold higher likelihood of treatment discontinuation. CL ≥ 0.318 L/day was associated with a 10.4-fold higher likelihood of therapy intensification. Higher CL (>0.8 L/day) was associated with a 3.5-fold and 4.2-fold higher likelihood of treatment discontinuation and PGA > 0, respectively. Conclusions: PGD enables earlier and precise optimization of ADA dosing by predicting trough levels at any time during the therapy cycle. Optimized dosing to achieve target ADA concentrations and low clearance is crucial to mitigate therapy discontinuation and active disease in IBD patients.