NON-INVASIVE DIAGNOSTIC ALGORITHM FOR TUBULOINTERSTITIAL FIBROSIS IN CHRONIC GLOMERULONEPHRITIS BASED ON CLINICAL AND LABORATORY MARKERS

Auteurs

  • Javokhir Abdumurodov 1 Автор
  • Ozimbay Jabbarov 1 Автор

Résumé

Chronic glomerulonephritis (CGN) is one of the leading causes of end-stage renal disease worldwide, accounting for approximately 20–25% of all cases requiring renal replacement therapy (1). A critical determinant of renal prognosis in CGN is the degree of tubulointerstitial fibrosis (TIF), which reflects irreversible structural damage and correlates more strongly with long-term renal function decline than glomerular lesions alone (2). Traditionally, TIF assessment has relied on renal biopsy — an invasive procedure associated with significant risks and patient discomfort (3). Emerging non-invasive biomarkers, including TGF-β1, KIM-1 (kidney injury molecule-1), NGAL, and urinary α1-microglobulin, offer promising alternatives for monitoring fibrotic progression (4). However, no validated clinical-laboratory algorithm integrating these markers has been established for routine use (5). Development of such an algorithm would substantially improve early detection and management of TIF in CGN patients. 

 

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Publiée

2026-06-08

Numéro

Vol. 2 No 6 (2026)

Rubrique

Articles

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Comment citer

Abdumurodov, J., & Jabbarov, O. (2026). NON-INVASIVE DIAGNOSTIC ALGORITHM FOR TUBULOINTERSTITIAL FIBROSIS IN CHRONIC GLOMERULONEPHRITIS BASED ON CLINICAL AND LABORATORY MARKERS. International Conference on Science, Education & Law, 2(6), 9-11. https://uniconflix.com/index.php/ICSEL/article/view/5196