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Computed Tomography01:10

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Tomography refers to imaging by sections. Computed tomography (CT) is a non-invasive imaging technique that uses computers to analyze several cross-sectional X-rays to reveal minute details about structures in the body.
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Distinct Metabolic Signatures Linked to High-Resolution Computed Tomography Radiographic Phenotypes in Stable and

Girish B Nair1, Faizan Faizee2, Zachary Smith2

  • 1Department of Internal Medicine, College of Medicine, University of Kentucky, Lexington, KY 40506, USA.

Metabolites
|January 27, 2026
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Summary

Distinct metabolic signatures revealed by high-resolution computed tomography (HRCT) and metabolomic profiling differentiate stable from progressive idiopathic pulmonary fibrosis/interstitial lung disease (IPF/ILD). This integration identifies key molecular-radiographic differences in disease progression.

Keywords:
biomarkersdisease progressionhigh-resolution computed tomographyidiopathic pulmonary fibrosismetabolomics

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Area of Science:

  • Pulmonary Medicine
  • Metabolomics
  • Radiology

Background:

  • Idiopathic pulmonary fibrosis/interstitial lung disease (IPF/ILD) is a progressive condition.
  • Accurate differentiation between stable and progressive IPF/ILD is crucial for patient management.
  • Current diagnostic methods may not fully capture the dynamic nature of the disease.

Purpose of the Study:

  • To identify distinct metabolic signatures associated with IPF/ILD progression.
  • To integrate high-resolution computed tomography (HRCT) visual scoring with metabolomic profiling.
  • To establish molecular-radiographic signatures for disease staging.

Main Methods:

  • A single-center, cross-sectional study of 60 IPF/ILD patients with a usual interstitial pneumonia pattern.
  • Comprehensive metabolomic analysis using NMR spectroscopy and LC-MS/MS.
  • Linear regression analysis integrating HRCT scores with metabolomic data.

Main Results:

  • Stable IPF/ILD showed negative correlations between key metabolites and HRCT scores, with high abundance of specific phospholipids and sphingolipids.
  • Progressive IPF/ILD exhibited weak positive correlations between metabolites and HRCT scores, with altered phospholipid profiles and elevated sphingolipids, ceramides, and taurine.
  • Distinct molecular-radiographic signatures were identified differentiating stable from progressive disease.

Conclusions:

  • Integration of HRCT scoring and metabolomic profiling effectively differentiates stable from progressive IPF/ILD.
  • Metabolic signatures provide insights into the molecular mechanisms underlying IPF/ILD progression.
  • This approach offers a novel strategy for disease assessment and management.