| Literature DB >> 35203245 |
Diana Rubel1, Joseph Boulanger2, Florin Craciun3, Ethan Y Xu3,4, Yanqin Zhang1,5, Lucy Phillips3,6, Michelle Callahan3, William Weber3,7, Wenping Song3, Nicholas Ngai3, Nikolay O Bukanov3,8, Xingyi Shi3,9, Ali Hariri10,11, Hervé Husson3, Oxana Ibraghimov-Beskrovnaya3,12, Shiguang Liu10, Oliver Gross1.
Abstract
Col4a3-/- Alport mice serve as an animal model for renal fibrosis. MicroRNA-21 (miR-21) expression has been shown to be increased in the kidneys of Alport syndrome patients. Here, we investigated the nephroprotective effects of Lademirsen anti-miR-21 therapy. We used a fast-progressing Col4a3-/- mouse model with a 129/SvJ background and an intermediate-progressing F1 hybrid mouse model with a mixed genetic background, with angiotensin-converting enzyme inhibitor (ACEi) monotherapy in combination with anti-miR-21 therapy. In the fast-progressing model, the anti miR-21 and ACEi therapies showed an additive effect in the reduction in fibrosis, the decline of proteinuria, the preservation of kidney function and increased survival. In the intermediate-progressing F1 model, the anti-miR-21 and ACEi therapies individually improved kidney pathology. Both also improved kidney function and survival; however, the combination showed a significant additive effect, particularly for survival. RNA sequencing (RNA-seq) gene expression profiling revealed that the anti-miR-21 and ACEi therapies modulate several common pathways. However, anti-miR-21 was particularly effective at normalizing the expression profiles of the genes involved in renal tubulointerstitial injury pathways. In conclusion, significant additive effects were detected for the combination of anti-miR-21 and ACEi therapies on kidney function, pathology and survival in Alport mouse models, as well as a strong differential effect of anti-miR-21 on the renal expression of fibrotic factors. These results support the addition of anti-miR-21 to the current standard of care (ACEi) in ongoing clinical trials in patients with Alport syndrome.Entities:
Keywords: Alport syndrome; hereditary kidney diseases; kidney therapies; microRNA-21; nephroprotection; podocytopathies; renal fibrosis; type IV collagen
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Year: 2022 PMID: 35203245 PMCID: PMC8869926 DOI: 10.3390/cells11040594
Source DB: PubMed Journal: Cells ISSN: 2073-4409 Impact factor: 6.600
Figure 1Effect of anti-miR21 on top of pre-emptive ACEi therapy in Alport mice of 129/SvJ genetic background (see schematic illustration of animal study design). (a) Lifespan of Alport mice displayed as a Kaplan–Meier-survival curve (n= 8) and (b) as a box plot (n= 8). (c) Proteinuria (n = 3) and (d) blood urea nitrogen (BUN) in different stages of progressive renal disease (anti-miR-21 n = 2; all other groups n = 3; data displayed as mean ± SEM). The excretion of albumin and high molecular weight proteins represents the glomerular damage due to the GBM-defect in Alport syndrome. BUN correlates inversely to renal function and was close to normal values in ACEi and ACEi + anti-miR-21-treated Alport mice. * p < 0.05.
Figure 2(a–f) Glomerular and tubulo-interstitial accumulation of extracellular matrix shown by immunofluorescence staining of laminin 111. At 9.5 weeks of age, Veh (a) and anti-miR-21-treated Alport mice (b) displayed severe glomerular and tubular matrix deposition. ACEi (d) and ACEi + anti-miR-21-treated Alport mice (e) had fairly preserved glomerular and tubulointerstitial architecture. Score of glomerular (c) and tubulo-interstitial (f) extracellular matrix accumulation. (g–l) Glomerular and tubulo-interstitial scar tissue formation represented by immunofluorescence staining of fibronectin. At 9.5 weeks of age, Veh Alport mice (g) had severe glomerular and tubular scarring. Anti-miR-21-treated Alport mice (h) showed significantly reduced scar tissue formation at the latest stage (9.5 w). ACEi-treated Alport mice (j) and ACEi+ anti-miR-21-treated Alport mice (k) had a glomerular fibrosis score close to the wildtype controls and an almost preserved tubulointerstitial architecture. Score of glomerular scar tissue formation (i) and tubulo-interstitial fibrosis (l). The magnification was 200X. WT—wildtype; n = 3; data displayed as mean ± SEM; * p < 0.05.
Figure 3Effect of ACEi, anti-miR-21 or the combination of ACEi and Anti-miR-21 on survival, renal function and kidney miR-21 levels in F1-Col4a3−/− male mice (see schematic illustration of study design). (a) Kaplan–Meier survival curve of Veh, ACEi, anti-miR-21 or ACEi + anti-miR-21-treated F1-Col4a3−/− mice. Treatment was initiated at 5 weeks of age, n = 12. * p < 0.05 by log-rank test vs. Veh group. (b) Median survival shown as a box-plot graph. * p < 0.05. (c) Mean serum BUN ± SEM over time in WT, Veh, ACEi, anti-miR-21 and ACEi + anti-miR-21 groups. p values as shown in figure legend.
Figure 4Effect of ACEi or anti-miR-21 on renal pathology and miR-21 expression in F1-Col4a3 male mice. (a) Mean serum BUN ± SEM over time in WT, Veh, ACEi and anti-miR-21 groups. p values as shown in figure legend. (b) Relative miR-21 expression measured by quantitative RT PCR in whole kidney of WT controls and F1-Col4a3 mice Veh, ACEi and anti-miR-21 groups. n = 6–7 * p < 0.05. (c) Representative kidney histopathology sections from WT and F1-Col4a3 mice treated with Veh, ACEi and anti-miR-21. Top—hematoxylin and eosin staining (H&E) showing tubular pathology (atrophy degeneration/regeneration represented by black arrows and intratubular protein casts by green arrows); middle—Masson’s trichrome staining (trichrome), blue Masson’s staining indicates interstitial fibrosis, marked by black arrowheads; bottom—αSMA staining showing SMA (brown) deposition in the interstitium. (d) Scores for glomerular pathology, tubular pathology, interstitial inflammation and interstitial fibrosis were determined as described in the Materials and Methods section. αSMA and trichrome quantitation were expressed as the percentage of positive cells relative to the nuclei and total surface area in mm2, respectively. * p < 0.05, as noted in figure.
Figure 5Renal transcriptomic analysis of wild-type and F1-Col4a3 mice. (a) Distribution of mouse kidney samples using the first three principal components computed from the RNA-seq FPKM data. Each dot represents one mouse sample, color-coded according to the genotype and treatment group (blue: WT controls; green: vehicle-treated F1-Col4a3; purple: anti-miR-21-treated F1-Col4a3; cyan: ACEi-treated F1-Col4a3). (b) Venn diagram of the number of differentially expressed genes in F1-Col4a3 mice from the pairwise comparisons of “anti-miR-21 vs. Veh” and “ACEi vs. Veh”. (c) Hierarchical clustering of 6416 common treatment-related differential genes across all mouse kidney samples in the study. Kidney samples represented by columns of the clustering heatmap are sorted by the grouping of corresponding genotype and treatment (same color code as in panel (a)).
The most significantly regulated pathways from GSEA of Veh compared with WT mouse kidneys.
| Top 5 Upregulated Pathways in Alport Mice | Size | ES | NES |
|---|---|---|---|
| Immune response: T-cell co-signaling receptors | 62 | 0.81 | 2.28 |
| Chemokines in inflammation in adipose tissue and liver | 50 | 0.82 | 2.28 |
| Renal tubulointertitial injury in lupus nephritis | 74 | 0.78 | 2.24 |
| Breakdown of CD4 and T cell peripheral tolerance in type 1 diabetes mellitus | 70 | 0.77 | 2.22 |
| Cytokine-induced fibroblast/myofibroblast migration and extracellular matrix production | 42 | 0.82 | 2.21 |
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| Oxidative phosphorylation | 77 | −0.84 | −3.35 |
| Ubiquinone metabolism | 38 | −0.84 | −2.87 |
| Mitochondrial dysfunction in neurodegenerative diseases | 91 | −0.67 | −2.74 |
| Mechanism of Pioglitazone/Rosiglitazone/Metformin cooperative action in type 2 diabetes mellitus | 46 | −0.75 | −2.73 |
| Glycine, serine, cysteine and threonine metabolism | 39 | −0.77 | −2.70 |
The most significantly regulated pathways from GSEA of ACEi compared with Veh-treated F1-Col4a3−/− mouse kidneys.
| Top 5 Pathways Downregulated by ACEi | Size | ES | NES |
|---|---|---|---|
| Wnt signaling in gastric cancer | 59 | −0.74 | −2.33 |
| Stem cells: embryonal epaxial myogenesis | 45 | −0.77 | −2.32 |
| Development: regulation of lung epithelial progenitor cell differentiation | 61 | −0.72 | −2.32 |
| Inhibition of oligodendrocyte precursor cell differentiation by wnt signaling | 44 | −0.77 | −2.32 |
| Deregulation of canonical wnt signaling in major depressive disorder | 53 | −0.74 | −2.31 |
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| Oxidative phosphorylation | 77 | 0.84 | 2.84 |
| Ubiquinone metabolism | 38 | 0.84 | 2.56 |
| Butanoate metabolism | 24 | 0.90 | 2.48 |
| Mitochondrial dysfunction in neurodegenerative diseases | 91 | 0.70 | 2.42 |
| Mechanism of Pioglitazone/Rosiglitazone/Metformin cooperative action in type 2 diabetes mellitus | 46 | 0.78 | 2.40 |
The most significantly regulated pathways from GSEA of anti-miR-21 compared with Veh-treated F1-Col4a3−/− mouse kidneys.
| Top 5 Pathways Downregulated by Anti-miR-21 | Size | ES | NES |
|---|---|---|---|
| Renal tubulointertitial injury in lupus nephritis | 74 | −0.71 | −2.24 |
| Development: regulation of epithelial-to-mesenchymal transition (EMT) | 88 | −0.67 | −2.24 |
| TH2 cytokine- and TNF-alpha-induced profibrotic response in asthmatic airway fibroblasts/myofibroblasts | 63 | −0.7 | −2.21 |
| Immune response: T-cell co-signaling receptors | 62 | −0.7 | −2.21 |
| WNT signaling in proliferative-type melanoma cells | 60 | −0.71 | −2.21 |
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| Oxidative phosphorylation | 77 | 0.86 | 3.16 |
| Mechanism of Pioglitazone/Rosiglitazone/Metformin cooperative action in type 2 diabetes mellitus | 46 | 0.83 | 2.81 |
| Ubiquinone metabolism | 38 | 0.87 | 2.77 |
| Mitochondrial dysfunction in neurodegenerative diseases | 91 | 0.73 | 2.74 |
| Butanoate metabolism | 24 | 0.86 | 2.51 |
Figure 6Member gene expression profiles from the MetaBase pathway “Renal tubulointerstitial injury in lupus nephritis” (curated by Clarivate Analytics). The Y axis represents Log2(FPKM + 1) values in each of the four animal groups and the genes on the X axis are ordered by their mean expression values in the vehicle-treated F1-Col4a3 group.
Figure 7Member gene expression profiles from the MetaBase pathway “Mitochondrial dysfunction in neurodegenerative diseases” (curated by Clarivate Analytics), with the same plotting parameters as in Figure 6.