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Last update 08 May 2025

Renal interstitial fibrosis

Last update 08 May 2025

Basic Info

Synonyms

RENAL INTERSTITIAL FIBROSIS, Renal interstitial fibrosis, Renal interstitial fibrosis (disorder)

+ [2]

Introduction

The accumulation of collagen and related extracellular matrix (ECM) molecules in the interstitium of the kidney. The interstitium is expanded by the presence of collagen that stain blue on trichrome. Tubules are not back to back, but rather separated by fibrosis and can be atrophic. [PMID:22449945]

Drugs associated with Renal interstitial fibrosis

CN116514779

Patent Mining

Target-

Mechanism-

Active Org.

Changsha Jingyi Pharmaceutical Technology Co., Ltd

Originator Org.

Changsha Jingyi Pharmaceutical Technology Co., Ltd

Active Indication

Fibrosis [+1]

Inactive Indication-

Drug Highest PhaseDiscovery

First Approval Ctry. / Loc.-

First Approval Date20 Jan 1800

100 Clinical Results associated with Renal interstitial fibrosis

100 Translational Medicine associated with Renal interstitial fibrosis

0 Patents (Medical) associated with Renal interstitial fibrosis

1,157

Literatures (Medical) associated with Renal interstitial fibrosis

31 Dec 2025·Renal Failure

Noninvasive grading of renal interstitial fibrosis and prediction of annual renal function loss in chronic kidney disease: the optimal solution of seven MR diffusion models

Article

Author: Chen, Wei ; Yin, Ting ; Cai, Lingli ; Darwish, Omar ; Han, Min ; Liao, Zhouyan ; Li, Zhen ; Zhou, Kailun ; Xu, Chuou ; Liang, Ping ; Yuan, Guanjie

OBJECTIVESTo explore the optimal choice of seven diffusion models (DWI, IVIM, DKI, CTRW, FROC, SEM, and sADC) to assess renal interstitial fibrosis (IF) and annual renal function loss in chronic kidney disease (CKD).METHODSOne hundred thirty-three CKD patients and 30 controls underwent multi-b diffusion sequence scans. Patients were divided into the training, testing, and temporal external validation sets. Least absolute shrinkage and selection operator regression and logistic regression were used to select the optimal metrics for distinguishing the mild from moderate-to-severe IF. The performances of imaging, clinical, and combined models were compared. A linear mixed-effects model calculated estimated glomerular filtration rate (eGFR) slope, and multiple linear regression assessed the association between metrics and 1-3-year eGFR slopes.RESULTSThe training, testing, and temporal external validation sets had 75, 30, and 28 patients, respectively. The combined model incorporating cortical f_IVIM, MK_DKI and eGFR was superior to the clinical model combining the eGFR and 24-hour urinary protein in all sets (net reclassification index [NRI] > 0, p < 0.05). Decision curve analysis showed the combined model provided greater net clinical benefit across most thresholds. Fifty-two, 35, and 16 patients completed 1-, 2-, and 3-year follow-ups. After adjusting for covariates, cortical f_IVIM correlated with the 1-year eGFR slope (β = 30.600, p = 0.001), and cortical α_SEM correlated with the 2- and 3-year eGFR slopes (β = 44.859, p = 0.002; β = 95.631, p = 0.019).CONCLUSIONSA combined model of cortical f_IVIM, MK_DKI and eGFR provides a useful comprehensive tool for grading IF, with cortical f_IVIM and α_SEM as potential biomarkers for CKD progression.

31 Dec 2025·Renal Failure

Delta corticomedullary apparent diffusion coefficient on MRI as a biomarker for prognosis in IgA nephropathy

Article

Author: Jiang, Ling ; Zeng, Ming ; Duan, Suyan ; Zhang, Chengning ; Yuan, Yanggang ; Pan, Ying ; Huang, Zhimin ; Mao, Huijuan ; Zhang, Yudong ; Zhang, Bo ; Lu, Fang ; Sun, Bin ; Xing, Changying ; Wang, Zitao ; Qian, Li

OBJECTIVESTo explore the association of the cortico-medullary difference in apparent diffusion coefficient (ΔADC) with clinicopathological parameters of disease activity at the time of biopsy, and with the prognositic risk stratification in IgA nephropathy (IgAN) patients.METHODSWe included 112 patients with biopsy-proven IgAN who measured ΔADC. Patients underwent a kidney biopsy and diffusion-weighted magnetic resonance imaging within one week of the biopsy. Clinicopathological characteristics were compared according to different ΔADC levels. The effect of ΔADC on eGFR and kidney fibrosis was explored using multivariate regression and ROC analysis. An individual's 5-year risk probability of progressing to ESKD or decreasing of eGFR > 50% was calculated by the guidelines-recommended international risk-prediction tool in IgAN. The effect of ΔADC on prognostic risk stratification was assessed. Net reclassification improvement (NRI) was used to evaluate the model performance.RESULTSThe average ΔADC was 168.89 ± 85.1 x10^-6 mm²/s. ΔADC levels decreased significantly with increasing chronic kidney disease (CKD) stages (p = 0.0038). Spearman correlation analysis revealed that ΔADC was positively correlated with eGFR, hemoglobin, serum albumin, while negatively correlated with levels of serum creatine (Scr), blood urea nitrogen (BUN), T score of Oxford classification and Lee grades (p < 0.05). Moreover, we showed that ΔADC was independently associated with eGFR (β = 0.04, 95% CI = [0.003, 0.077], p = 0.033) demonstrated by a backward stepwise multivariate linear regression analysis. Besides, ΔADC, a combination of ΔADC and eGFR showed an AUC of 0.776 (60% sensitivity and 85.3% specificity) and an AUC of 0.875 (100% sensitivity and 69.6% specificity) respectively for evaluating kidney interstitial fibrosis (IF) severity. Furthermore, ΔADC showed an AUC of 0.792 (95% CI 0.677-0.906) for differentiating higher progression risk categories from lower categories (specificity = 91.6%, sensitivity = 58.8%). The low-ΔADC group (≤ median value 167.1 × 10^-6 mm²/s) was associated with 7.509-fold higher likelihood of higher progression risk compared to the high-ΔADC group (>167.1 × 10^-6 mm²/s) in a fully-adjusted model. And reclassification analyses confirmed that the final adjusted model improved NRI.CONCLUSIONSΔADC was significantly associated with kidney function and enabled a reliable evaluation of kidney IF severity in IgAN patients. Low ΔADC can predict a high 5-year kidney progression risk in IgAN, independent of important clinical factors. Moreover, the predictive ability to identify patients at high risk of severe kidney fibrosis and adverse progression estimates with satisfactory accuracy, facilitating ΔADC a promising and noninvasive tool in complementarily evaluating disease activity and the prognostic risk stratification in patients with IgAN.

31 Dec 2025·Renal Failure

Factors associated with chronic calcineurin inhibitor nephrotoxicity in children with minimal-change disease

Article

Author: Yang, Shicong ; Chen, Lizhi ; Jiang, Xiaoyun ; Jin, Bei ; Lin, Aihua ; Pei, Yuxin ; Mo, Ying ; Lu, Ziji ; Cheng, Cheng ; Yue, Zhihui

BACKGROUNDCalcineurin inhibitors (CNIs), such as cyclosporine (CsA) and tacrolimus (TAC), are commonly used to treat children with complicated minimal change nephrotic syndrome. However, chronic nephrotoxicity associated with CNIs poses a significant safety concern. This study aimed to identify the risk factors that contribute to chronic nephrotoxicity in these patients.MATERIAL AND METHODSClinical and pathological data of MCD children treated with CsA or TAC in our center between 1 January 2003 and 31 December 2022, were retrospectively reviewed. Kidney biopsies were performed on 80 patients who received CNI treatment for more than 6 months.RESULTSChronic CNI nephrotoxicity (striped interstitial fibrosis with tubular atrophy) was observed in 15% (12/80) of patients. Higher CNI culminating amounts were shown in patients who developed nephrotoxicity regardless of CsA or TAC treatment. Risk factors for chronic CNI nephrotoxicity included persistent nephrotic-range proteinuria for more than 30 days during CNI treatment, increased urinary NAG level, and CNI resistance. Multivariate analysis revealed that increased urinary NAG level and CNI resistance were the independent risk factors for chronic CNI nephrotoxicity in children with MCD.CONCLUSIONMCD children who developed CNI resistance were susceptible to chronic CNI nephrotoxicity. Urinary NAG might be a valuable biomarker for CNI nephrotoxicity prediction in MCD children.

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Renal interstitial fibrosis

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