Related Experiment Video

Updated: Sep 11, 2025

Implementation of Non-invasive Point of Care Transient Elastography for Evaluation of Liver Disease in Pediatric Populations with Cystic Fibrosis
05:56

Implementation of Non-invasive Point of Care Transient Elastography for Evaluation of Liver Disease in Pediatric Populations with Cystic Fibrosis

Published on: August 29, 2025

27

Diagnosis and Emerging Biomarkers of Cystic Fibrosis-Related Kidney Disease (CFKD)

Hayrettin Yavuz1, Manish Kumar2, Himanshu Ballav Goswami3

  • 1Department of Pediatrics, University of Virginia School of Medicine, Charlottesville, VA 22903, USA.

Journal of Clinical Medicine
|August 14, 2025
PubMed

Insights

Kidney disease is a growing concern for people with cystic fibrosis (CF). New biomarkers and machine learning can help detect and manage CF-related kidney disease (CFKD) early.

Area of Science:

  • Nephrology
  • Pulmonology
  • Genetics

Background:

  • Kidney disease is an emerging comorbidity in people with cystic fibrosis (PwCF) due to increased longevity.
  • This condition, termed CF-related kidney disease (CFKD), is linked to cardiovascular issues and end-stage kidney disease.
  • Current diagnostic methods for kidney injury in PwCF are limited by sensitivity, especially given altered muscle mass and CF pathophysiology.

Purpose of the Study:

  • To review the challenges in early detection of kidney injury in PwCF.
  • To explore emerging diagnostic and risk stratification tools for CFKD.
  • To advocate for a precision medicine approach in managing kidney health in PwCF.

Main Methods:

  • Review of current literature on kidney disease in cystic fibrosis.
  • Identification of novel biomarkers (blood, urinary, extracellular vesicles).
  • Exploration of genetic risk profiling and machine learning integration.

Main Results:

  • Conventional tests lack sensitivity for early kidney damage detection in PwCF.
  • Novel biomarkers and genetic profiling show promise for identifying subclinical kidney damage.
  • Machine learning can enhance personalized risk stratification.

Conclusions:

  • Early detection of kidney injury is crucial for improving outcomes in PwCF.
  • Emerging technologies offer potential for proactive CFKD management.
  • A precision medicine strategy can shift care towards early intervention and personalized treatment.

Keywords:
CFTRCKDbiomarkerscystic fibrosiskidney

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