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Standardized lung function reference values in rats for translational respiratory research.

Gergely H Fodor1, Ferenc Rárosi2, Krisztina Boda2

  • 1Department of Medical Physics and Medical Informatics, University of Szeged, Szeged, Hungary. fodor.gergely@med.u-szeged.hu.

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|April 24, 2026
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Summary
This summary is machine-generated.

This study introduces standardized reference equations for preclinical respiratory research, enabling accurate lung function assessments in rats. This framework enhances data comparability and translational impact for respiratory disease studies.

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Area of Science:

  • Respiratory physiology and disease research
  • Preclinical animal models
  • Translational medicine

Background:

  • Preclinical respiratory studies lack standardized reference frameworks, limiting translational impact.
  • Clinical lung function is interpreted using prediction equations and z-scores, unlike preclinical absolute values.
  • Comparability between preclinical studies is hampered by the absence of standardized interpretation methods.

Purpose of the Study:

  • To establish reference equations for key respiratory parameters in rats.
  • To enable the derivation of z-scores for individual preclinical measurements.
  • To enhance the reproducibility and translational value of preclinical respiratory research.

Main Methods:

  • Collected lung function data from 182 healthy Sprague Dawley and Wistar rats.
  • Utilized generalized additive models for location, scale, and shape (GAMLSS) to model respiratory parameters.
  • Modeled mean and variability as functions of body mass, sex, strain, and positive end-expiratory pressure.

Main Results:

  • Established reference equations for airway resistance, tissue damping, tissue elastance, and end-expiratory lung volume.
  • Models demonstrated excellent fit and cross-validation, allowing accurate z-score calculation.
  • Significant influences of sex and strain on respiratory outcomes were identified.

Conclusions:

  • Introduced clinical-style reference equations into preclinical respiratory research.
  • The framework enhances reproducibility and aligns animal measurements with clinical standards.
  • Open-source calculators are available for workflow integration, supporting computational models and study design.