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Respiratory Research Analysis

5 papers

August’s respiratory research delivered practice-shaping evidence and translational advances. A phase 3 NEJM trial showed inhaled molgramostim improves gas exchange and quality of life in autoimmune pulmonary alveolar proteinosis, while a large BMJ RCT found lateral positioning during procedural sedation significantly lowers hypoxaemia and airway rescues. Convergent biomarker and genetic evidence prioritized IL‑6 inhibition for pleural infection, and an interpretable AI achieved scalable, oximet

Summary

August’s respiratory research delivered practice-shaping evidence and translational advances. A phase 3 NEJM trial showed inhaled molgramostim improves gas exchange and quality of life in autoimmune pulmonary alveolar proteinosis, while a large BMJ RCT found lateral positioning during procedural sedation significantly lowers hypoxaemia and airway rescues. Convergent biomarker and genetic evidence prioritized IL‑6 inhibition for pleural infection, and an interpretable AI achieved scalable, oximetry‑only sleep apnea assessment. A robust chronic Acinetobacter baumannii pneumonia model enables study of late-stage virulence and antibiotic persistence, with broader month‑long signals including neuraminidase‑directed influenza immunity.

Selected Articles

1. Phase 3 Trial of Inhaled Molgramostim in Autoimmune Pulmonary Alveolar Proteinosis.

87The New England journal of medicine · 2025PMID: 40834301

In a 48‑week double‑blind phase 3 RCT (n=164), once‑daily inhaled molgramostim (300 μg) significantly improved DLCO at 24 and 48 weeks versus placebo and produced clinically meaningful improvement in SGRQ total score at 24 weeks, with similar adverse event rates between groups.

Impact: Largest rigorous RCT showing a targeted inhaled biologic improves physiology and patient‑reported outcomes in a rare pulmonary disease, closing a key therapeutic gap.

Clinical Implications: Molgramostim may become a disease‑directed therapy for autoimmune PAP, potentially reducing whole‑lung lavage and improving gas exchange and quality of life; guideline and reimbursement updates will be needed.

Key Findings

  • 24‑week DLCO improvement: +9.8 pp with molgramostim vs +3.8 pp with placebo (difference 6.0; P<0.001).
  • DLCO benefit persisted to 48 weeks; SGRQ total score improved at 24 weeks.
  • Adverse event rates were similar between groups.

2. Effect of lateral versus supine positioning on hypoxaemia in sedated adults: multicentre randomised controlled trial.

85.5BMJ (Clinical research ed.) · 2025PMID: 40829895

A pragmatic multicenter RCT (n=2,143 analyzed) randomized sedated adults to lateral versus supine positioning and found lateral positioning significantly reduced incidence and severity of hypoxaemia, decreased need for airway rescue interventions, and did not compromise safety.

Impact: A simple, low‑cost intervention with broad applicability that immediately reduces peri‑procedural hypoxaemia and airway rescues—high potential for rapid practice and guideline change.

Clinical Implications: Adopt lateral positioning during procedural sedation to reduce desaturation events, especially in settings with limited monitoring or rescue resources; apply with attention to patient‑specific contraindications.

Key Findings

  • Significant reduction in hypoxaemia incidence with lateral positioning.
  • Lower severity of desaturation and fewer airway rescue interventions.
  • No increase in adverse events compared with supine.

3. A chronic Acinetobacter baumannii pneumonia model to study long-term virulence factors, antibiotic treatments, and polymicrobial infections.

87Nature communications · 2025PMID: 40817088

The authors developed a low-dose intranasal, tlr4-mutant mouse model sustaining A. baumannii lung infection for ≥3 weeks, revealing a late-stage adhesin (InvL) required for persistence, distinguishing antibiotics that sterilize versus allow persister formation, and demonstrating outcome modulation by coinfecting species.

Impact: Enables mechanistic and therapeutic study of chronic respiratory infection, antibiotic persistence, and polymicrobial interactions—areas poorly captured by acute models.

Clinical Implications: Provides a platform to evaluate regimens targeting persisters and to identify late‑stage virulence targets (e.g., InvL) that could guide novel therapeutics; human‑relevant validation is the next step.

Key Findings

  • Established a ≥3‑week chronic A. baumannii lung infection model with low inocula in tlr4‑mutant mice.
  • Identified InvL as a persistence‑critical late‑stage adhesin.
  • Differentiated sterilizing antibiotics from those associated with persister formation; coinfections modulated outcomes.

4. The role of interleukin-6 signalling in pleural infection: observational and genetic analyses.

83EBioMedicine · 2025PMID: 40819633

Paired pleural fluid and serum measures (n=76) showed pleural IL‑6 ~5,000‑fold higher than serum, correlating with severity and length of stay; two‑sample Mendelian randomization using IL6R variants (1,601 cases vs 830,709 controls) predicted a large protective effect of IL‑6 pathway inhibition on pleural infection incidence.

Impact: Convergent biomarker evidence and genetic causal inference identify IL‑6 as a tractable therapeutic target in pleural infection, directly informing randomized trials.

Clinical Implications: Supports pleural IL‑6 measurement for risk stratification and prioritizes clinical trials of IL‑6 pathway inhibitors (e.g., tocilizumab) for empyema/pleural infection.

Key Findings

  • Pleural IL‑6 median was ~5,000‑fold higher than serum and correlated with severity and length of stay.
  • Mendelian randomization using IL6R variants predicted a protective effect of IL‑6 inhibition (OR ~0.23 per SD CRP decrease).
  • Integrates biomarker and genetic data to nominate IL‑6 as a therapeutic target.

5. Transparent artificial intelligence-enabled interpretable and interactive sleep apnea assessment across flexible monitoring scenarios.

84.5Nature communications · 2025PMID: 40813773

Apnea Interact Xplainer, an interpretable AI, was trained and externally validated on 15,807 polysomnograms across seven multi-ethnic cohorts, achieving 0.738–0.810 accuracy for four-level severity classification, R²=0.92–0.96 for AHI prediction, and 0.970 sensitivity for early detection using oximetry-only inputs.

Impact: Addresses adoption barriers by providing externally validated, interpretable AI that functions with limited-signal inputs, enabling scalable screening and transparent clinician–patient workflows.

Clinical Implications: Supports oximetry-based screening pathways, routine hypoxic burden reporting alongside AHI, and triage strategies for prioritizing full polysomnography or urgent therapy.

Key Findings

  • Externally validated on 15,807 PSGs with severity accuracy 0.738–0.810 and AHI prediction R²=0.92–0.96.
  • Achieved 0.970 sensitivity for early detection using oximetry-only input.
  • Delivered interpretable visualizations that support clinical auditability and decision-making.