| Literature DB >> 33431722 |
Yuki Takahashi1, Masaki Watanabe1, Koki Hiura1, Ai Isobe1, Hayato Sasaki1, Nobuya Sasaki1.
Abstract
The number of patients with chronic kidney disease (CKD) is growing continuously globally. In order to study pathogenesis and mechanisms, many animal models have been developed, including spontaneous, genetic, and induced models. Although each type of CKD shows disease-specific tissue changes in the early stages, tubular disorder and interstitial fibrosis histologically occur in the course of progression to end-stage renal failure. Therefore, the quantification of tubular disorder and interstitial fibrosis in CKD research using animal models is essential for measuring the degree of CKD severity and, thus, efficacy of therapeutic agents. Several strategies have been used to quantify interstitial fibrosis. Among scoring factors, renal tubular flattening can be quantitatively evaluated easily and inexpensively. However, the diagnostic value of renal tubular flattening evaluation has not been investigated previously. Therefore, in this study, we investigated the correlation between renal tubular flattening and interstitial fibrosis or renal tubular injury markers. We observed a strong correlation between the degree of tubular injury/interstitial fibrosis and renal tubular flattening in three types of mouse renal disease model. This is advantageous because rapidly advancing technologies such as artificial intelligence and image processing can be easily applied; hence, a more precise, objective, and quantitative diagnosis should be possible in the future.Entities:
Keywords: interstitial fibrosis; murine kidney disease models; renal tubular flattening; renal tubular injury
Year: 2021 PMID: 33431722 PMCID: PMC8025427 DOI: 10.1292/jvms.20-0692
Source DB: PubMed Journal: J Vet Med Sci ISSN: 0916-7250 Impact factor: 1.267
Fig. 1.(A) Measurement of tubular epithelial cell height. Red bars indicate tubule height. (B) Representative images of Periodic Acid- Schiff (PAS) staining and Sirius Red-stained images of 10-week-old FVB-Tns2 (FVB-WT) (left panel) and FVB-Tns2nph mutant mouse (FVB-nph) (right panel) kidney sections. Upper panel represents PAS-stained images, and lower panel represents Sirius Red-stained images. Scale bars: 50 µm. (C) Graph comparing the tubular heights of FVB-WT and FVB-nph. (D) Graph comparing Fibrosis area vs. total area. Data are expressed as mean ± standard deviation; P-values were calculated by Student’s t-test. (E) Scatter plots with liner regression show correlation analysis between the height of tubules height and the degree of the fibrosis score. The linear regression line showed an inverse correlation between tubular height and fibrosis area. Correlation coefficients R and P values are shown. Black circles indicate the FVB-WT (n=5) group, and black squares indicate the FVB-nph (n=5) group. **P<0.01, ****P<0.0001.
Fig. 2.(A) Representative images of Periodic Acid- Schiff (PAS) staining and immunochemical-stained images with anti- neutrophil gelatinase-associated lipocalin (NGAL) antibody of sham (left panel), 30 min (middle panel) and 60 min (right panel) renal sections. The upper panel represents the PAS-stained image and the lower panel represents the immunochemical-stained image with anti-NGAL antibody. Scale bars: 50 µm. (B) Graph comparing the tubular heights of sham, 30 min and 60 min. (C) Graph comparing the NGAL-positive area vs. total area of sham, 30 min and 60 min. Data are expressed as mean ± standard deviation; P-values were calculated by Bonferroni’s multigroup test. (D) Scatter plots with liner regression show correlation analysis between the height of tubules height and NGAL-positive area. The linear regression line shows an inverse correlation between tubular height and NGAL-positive areas. Correlation coefficients R and P values are shown. Black circles indicate the sham group (n=3), black squares indicate the 30 min group (n=3), and black triangles indicate the 60 min group (n=3). *P<0.05, **P<0.01
Fig. 3.(A) Representative images of Periodic Acid- Schiff (PAS) staining and immunochemical-stained images with anti- neutrophil gelatinase-associated lipocalin (NGAL) antibody of vehicle (left panel) and adriamycin (ADR) (right panel) renal sections. The upper panel represents the PAS-stained image and the lower panel represents the immunochemical-stained image with anti-NGAL antibody. Scale bars: 50 µm. (B) Graph comparing the tubular heights of vehicle and ADR. (C) Graph comparing the NGAL-positive area vs. total area. Data are expressed as mean ± standard deviation; P-values were calculated by Bonferroni’s multigroup test. (D) Scatter plots with liner regression show correlation analysis between the height of tubules and NGAL-positive area. The linear regression line shows an inverse correlation between tubular height and NGAL-positive areas. Correlation coefficients R and P values are shown. Black circles indicate the vehicle group (n=3), and black squares indicate the ADR group (n=5). *P<0.05, **P<0.01.