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Related Concept Videos

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Percolation Forces in Lung Inflammation: Determining the Path to Emphysema or Fibrosis.

Jerome Cantor1

  • 1School of Pharmacy and Allied Health Sciences, St John's University, Queens, NY 11439, USA.

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|February 27, 2026
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Summary

Chronic lung inflammation can lead to either emphysema or fibrosis through poorly understood mechanisms. Network theory reveals critical thresholds in extracellular matrix crosslinking and percolation phenomena dictate these divergent lung tissue outcomes.

Keywords:
crosslinkingemergent phenomenapercolation networkspulmonary emphysemapulmonary fibrosis

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Area of Science:

  • Pulmonary Medicine
  • Biophysics
  • Network Theory

Background:

  • Chronic lung inflammation presents dichotomous outcomes: pulmonary emphysema and interstitial fibrosis.
  • The overlapping mechanisms driving these divergent pathological trajectories remain poorly understood.

Purpose of the Study:

  • To review the role of percolation phenomena and extracellular matrix crosslinking in determining chronic lung inflammation outcomes.
  • To explore how critical thresholds influence transitions toward emphysema or fibrosis.

Main Methods:

  • Examination of network theory principles, specifically percolation phenomena.
  • Analysis of extracellular matrix (ECM) crosslinking mechanisms, including collagen and elastin.
  • Review of feedback loops amplifying initial perturbations in lung tissue.

Main Results:

  • Critical percolation thresholds dictate whether lung tissue undergoes structural failure (emphysema) or rigidification (fibrosis).
  • ECM crosslinking dynamics and feedback loops are key factors in pushing inflamed lungs toward divergent structural outcomes.
  • Understanding these percolation-dependent transitions offers insight into varied responses to similar inflammatory insults.

Conclusions:

  • Percolation phenomena and ECM crosslinking are crucial determinants of emphysema versus fibrosis in chronic lung inflammation.
  • Identifying these critical thresholds may reveal novel therapeutic targets for lung diseases.
  • This framework provides a new perspective on the opposing structural outcomes of lung inflammation.