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Daily Respiratory Research Analysis

3 papers

Three impactful respiratory studies stood out: an interpretable dual-phase CT AI (NeoPred) that predicts pathological response to neoadjuvant chemo-immunotherapy in resectable NSCLC; a multi-trait genetic analysis identifying 31 new asthma loci in East Asians and implicating a CD36 missense variant; and a large cohort linking pulmonary arterial pressure trajectories before/after kidney transplant to mortality, spotlighting post-transplant pulmonary hypertension risk.

Summary

Three impactful respiratory studies stood out: an interpretable dual-phase CT AI (NeoPred) that predicts pathological response to neoadjuvant chemo-immunotherapy in resectable NSCLC; a multi-trait genetic analysis identifying 31 new asthma loci in East Asians and implicating a CD36 missense variant; and a large cohort linking pulmonary arterial pressure trajectories before/after kidney transplant to mortality, spotlighting post-transplant pulmonary hypertension risk.

Research Themes

  • AI-driven imaging biomarkers for thoracic oncology
  • Population-specific asthma genetics and immune mechanisms
  • Hemodynamic trajectories of pulmonary hypertension and transplant outcomes

Selected Articles

1. NeoPred: dual-phase CT AI forecasts pathologic response to neoadjuvant chemo-immunotherapy in NSCLC.

80Level IICohortJournal for immunotherapy of cancer · 2025PMID: 40449955

In multi-center cohorts (retrospective n=509; prospective n=50), a dual-phase CT 3D-CNN (NeoPred) predicted major/pathologic complete response to neoadjuvant chemo-immunotherapy in resectable NSCLC, outperforming unaided radiologists and improving their performance when used as assistance. External validation AUC reached 0.772 (0.787 with clinical variables) and prospective AUC 0.760; expert AUC improved to 0.829 with model assistance.

Impact: Provides an interpretable, non-invasive biomarker to guide surgical timing and escalation/de-escalation after neoadjuvant chemo-immunotherapy in NSCLC, surpassing expert assessment and generalizing across centers.

Clinical Implications: May enable personalized surgical decision-making, triage for additional cycles vs early surgery, and stratification for trials; facilitates resource allocation in radiology and pathology by anticipating response.

Key Findings

  • Dual-phase CT 3D-CNN (NeoPred) achieved AUC 0.772 in external validation, rising to 0.787 with clinical variables.
  • Prospective cohort performance was AUC 0.760, exceeding the mean expert AUC of 0.720.
  • Model assistance improved pooled expert AUC to 0.829 and accuracy to 0.820.
  • Robust performance persisted in radiologic stable-disease subgroups (AUC up to 0.833).

Methodological Strengths

  • Multi-center cohorts with external and prospective validation
  • Head-to-head comparison with nine board-certified radiologists and interpretable analysis (SHAP)

Limitations

  • Retrospective development on Chinese cohorts may limit global generalizability
  • No randomized clinical utility assessment or impact on outcomes

Future Directions: Prospective, multinational impact trials to assess decision-change and outcomes; integration with PET/biopsy and circulating biomarkers to form multi-modal predictors.

2. Multi-trait genetic analysis of asthma and eosinophils uncovers pleiotropic loci in East Asians.

74.5Level IIICohortNature communications · 2025PMID: 40450010

In East Asians, multi-trait GWAS linked asthma to eosinophil counts (LDSC and MR) and identified 52 loci, including 31 previously unreported. A missense variant in CD36 (rs75326924) showed higher expression in lymphocytes and ILC2-enriched cells in asthma and associated proteomic changes (downregulated IL-7, Oncostatin M, VEGFA), suggesting CD36-related immune pathways as population-specific targets.

Impact: Expands asthma genetics in an underrepresented population and pinpoints a functionally supported CD36 variant with immunologic readouts, informing precision therapeutics for East Asians.

Clinical Implications: Supports development of population-tailored biomarkers and therapies (e.g., targeting CD36/ILC2 pathways) and refines risk prediction models for East Asians.

Key Findings

  • LDSC and MR demonstrated significant genetic correlation between asthma and eosinophil count in East Asians.
  • MTAG identified 52 genome-wide significant loci, including 31 novel loci specific to East Asians.
  • A missense variant in CD36 (rs75326924) showed increased expression in lymphocytes and ILC2-enriched cells and was associated with downregulation of IL-7, Oncostatin M, and VEGFA.
  • Findings highlight pleiotropy across asthma and WBC traits and nominate CD36-related pathways as therapeutic targets.

Methodological Strengths

  • Integration of LDSC, Mendelian randomization, and MTAG across East Asian cohorts
  • Functional validation via flow cytometry and proteomics

Limitations

  • Population focus on East Asians may limit generalizability to other ancestries
  • Observational genetic associations without interventional validation

Future Directions: Replication in multi-ancestry cohorts, mechanistic dissection of CD36-ILC2 signaling, and early-phase trials targeting implicated pathways.

3. Longitudinal Pulmonary Arterial Pressure Trajectories and Clinical Outcome in Kidney Transplantation Patients.

68.5Level IIICohortChest · 2025PMID: 40449880

In 631 kidney transplant recipients with pre- and post-transplant echocardiographic PAPs, new-onset or persistent pulmonary hypertension after transplant independently increased mortality versus no PH, whereas resolved PH showed the most favorable survival. Each 10 mmHg increase in sPAP from pre- to post-KT raised mortality risk by 21%, and a 10 mmHg decrease reduced risk by 17%; findings were validated in an external cohort.

Impact: Establishes PAP trajectory as a dynamic biomarker for post-transplant risk stratification, highlighting modifiable hemodynamic targets that correlate with survival.

Clinical Implications: Supports integrating serial PAP assessment into KT evaluation and follow-up to identify high-risk patients (New/Persistent-PH) and prioritize PH management to improve survival.

Key Findings

  • New-PH and Persistent-PH post-transplant increased mortality risk vs No-PH (HR 1.51 and 1.37, respectively).
  • Resolved-PH had the most favorable survival; trend toward lower risk vs No-PH.
  • Each 10 mmHg increase in sPAP from pre- to post-KT increased mortality by 21%; a 10 mmHg decrease reduced mortality by 17%.
  • Results reproduced in a sex-balanced validation cohort using echo and right heart catheterization.

Methodological Strengths

  • Large, real-world cohort with pre- and post-transplant measurements
  • Independent validation cohort and consistent findings across modalities

Limitations

  • Retrospective design with potential residual confounding
  • Echocardiographic sPAP as a surrogate may misclassify PH severity

Future Directions: Prospective interventional studies to test PH optimization pre/post-KT and determine thresholds/targets for sPAP that improve survival.