Human placenta-derived mesenchymal stem cells ameliorate diabetic nephropathy
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ABSTRACT:
ORGANISM(S): Rattus norvegicus
PROVIDER: GSE153217 | GEO | 2020/06/26
REPOSITORIES: GEO
Similar Datasets
Project description:Validation of predicted gene expression of human mesangial cells after 24h Tacrolimus stimulus Objective: To evaluate tacrolimus as therapeutic option for diabetic nephropathy (DN) based on molecular profile and network-based molecular model comparisons. Materials and Methods: We generated molecular models representing pathophysiological mechanisms of DN and tacrolimus mechanism of action (MoA) based on literature derived data and transcriptomics datasets. Shared enriched molecular pathways were identified based on both model datasets. A newly generated transcriptomics dataset studying the effect of tacrolimus on mesangial cells in vitro was added to identify mechanisms in DN pathophysiology. We searched for features in interference between the DN molecular model and the tacrolimus MoA molecular model already holding annotation evidence as diagnostic or prognostic biomarker in the context of DN. Results: Thirty nine molecular features were shared between the DN molecular model, holding 252 molecular features and the tacrolimus MoA molecular model, holding 209 molecular features, with six additional molecular features affected by tacrolimus in mesangial cells. Significantly affected molecular pathways by both molecular model sets included cytokine-cytokine receptor interactions, adherens junctions, TGF-beta signaling, MAPK signaling, and calcium signaling. Molecular features involved in inflammation and immune response contributing to DN progression were significantly downregulated by tacrolimus (e.g. the tumor necrosis factor alpha (TNF), interleukin 4, or interleukin 10). On the other hand, pro-fibrotic stimuli being detrimental to renal function were induced by tacrolimus like the transforming growth factor beta 1 (TGFB1), endothelin 1 (EDN1), or type IV collagen alpha 1 (COL4A1). Conclusion: Patients with DN and elevated TNF levels might benefit from tacrolimus treatment regarding maintaining GFR and reducing inflammation. TGFB1 and EDN1 are proposed as monitoring markers to assess degree of renal damage. Next to this stratification approach, the use of drug combinations consisting of tacrolimus in addition to ACE inhibitors, angiotensin receptor blockers, TGFB1- or EDN1-receptor antagonists might warrant further studies. comparison of gene expression of human mesangial cells after 24h Tacrolimus vs. Ctrl; 4 independent experiments were conducted (4xTacrolimus 24h and 4x ctrl. 24h with Drug solvent (DMSO))
2016-08-01 | E-GEOD-84908 | biostudies-arrayexpress
Project description:Background: Long-term complications of type 2 diabetes (T2D) are the major causes for T2D-related disability and mortality. Notably, diabetic nephropathy (DN) has become the most frequent cause of end-stage renal disease (ESRD) in most countries. Understanding epigenetic contributors to DN can provide novel insights into this complex disorder and lay the foundation for more effective monitoring tools and preventive interventions, critical for achieving the ultimate goal of improving patient care and reducing healthcare burden.
2022-03-31 | GSE186021 | GEO
Project description:Current diagnostic methods for diabetic nephropathy (DN) lack precision, especially in early stages and monitoring progression. This study aims to find potential biomarkers for DN progression and evaluate their accuracy. Using serum samples from healthy controls (NC), diabetic patients (DM), early-medium stage DN (DN-EM), and late-stage DN (DN-L), researchers employed quantitative proteomics and Mfuzz clustering analysis revealed 15 proteins showing increased expression during DN progression, hinting at their biomarker potential. Combining Mfuzz clustering with weighted gene co-expression network analysis (WGCNA) highlighted five candidates (HMGB1, CD44, FBLN1, PTPRG, and ADAMTSL4). HMGB1 emerged as a promising biomarker, closely correlated with renal function changes. Experimental validation supported HMGB1’s upregulation under high glucose conditions, reinforcing its potential as an early detection biomarker for DN. This research advances DN understanding and identifies five potential biomarkers, notably HMGB1, as a promising early monitoring target. These findings set the stage for future clinical diagnostic applications in DN.
2023-12-28 | PXD047872 | Pride
Project description:Diabetic nephropathy (DN) is the leading cause of chronic kidney disease and end-stage renal disease. Emerging evidence suggests that complement activation is involved in the pathogenesis of DN. The aim of this study was to investigate the pathogenic role of C3a and C3a receptor (C3aR) in DN. The expression of C3aR was examined in the renal specimen of DN patients. Using a C3aR gene knockout mice (C3aR-/-), we evaluated kidney injury in diabetic mice. The mouse gene expression microarray was performed to further explore the pathogenic role of C3aR. Then the underlying mechanism was investigated in vitro with macrophage treated with C3a. Compared with normal controls, the renal expression of C3aR was significantly increased in DN patients. C3aR-/- diabetic mice developed less severe diabetic renal damage compared with WT diabetic mice, exhibiting significantly lower level of albuminuria and milder renal pathological injury. Microarray profiling uncovered significantly suppressed inflammatory responses and T cell adaptive immunity in C3aR-/- diabetic mice compared with WT diabetic mice and this result was further verified by immunohistochemical staining of renal CD4+, CD8+ T cells and macrophages infiltration. In vitro study demonstrated C3a can enhance macrophages secreted cytokines which could induce inflammatory responses and differentiation of T cell lineage. In conclusion, C3aR deficiency could attenuate diabetic renal damage through suppressing inflammatory responses and T cell adaptive immunity, possibly by influencing macrophages secreted cytokines. Thus, C3aR may be a promising therapeutic target for DN.
2020-04-10 | GSE133597 | GEO
Project description:Diabetic nephropathy (DN) is the leading cause of chronic kidney disease and end-stage renal disease. Emerging evidence suggests that complement activation is involved in the pathogenesis of DN. The aim of this study was to investigate the pathogenic role of C3a and C3a receptor (C3aR) in DN. The expression of C3aR was examined in the renal specimen of DN patients. Using a C3aR gene knockout mice (C3aR-/-), we evaluated kidney injury in diabetic mice. The mouse gene expression microarray was performed to further explore the pathogenic role of C3aR. Then the underlying mechanism was investigated in vitro with macrophage treated with C3a. Compared with normal controls, the renal expression of C3aR was significantly increased in DN patients. C3aR-/- diabetic mice developed less severe diabetic renal damage compared with WT diabetic mice, exhibiting significantly lower level of albuminuria and milder renal pathological injury. Microarray profiling uncovered significantly suppressed inflammatory responses and T cell adaptive immunity in C3aR-/- diabetic mice compared with WT diabetic mice and this result was further verified by immunohistochemical staining of renal CD4+, CD8+ T cells and macrophages infiltration. In vitro study demonstrated C3a can enhance macrophages secreted cytokines which could induce inflammatory responses and differentiation of T cell lineage. In conclusion, C3aR deficiency could attenuate diabetic renal damage through suppressing inflammatory responses and T cell adaptive immunity, possibly by influencing macrophages secreted cytokines. Thus, C3aR may be a promising therapeutic target for DN.
2020-04-10 | GSE133596 | GEO
Project description:Diabetic Nephropathy (DN) is a chronic complication of diabetes and the primary cause of end stage renal disease. DN can be differentially diagnosed only through histological investigation. Therefore, there is need for molecular biomarkers, such as miRNAs, to discriminate among different histological lesions in diabetics. Aim of this study was to identify a pattern of differentially expressed miRNAs in kidney biopsies of DN patients and to assess their potential as differential diagnostic biomarkers. Using microarray, we assayed miRNA expression in kidney tissue from 8 DN patients, 6 diabetic patients with membranous nephropathy and 4 patients with normal histology. Nine miRNAs were differentially expressed among the three groups of patients, thus underlying their potential role as markers of specific histological damage. In silico we identified 2 miRNAs (i.e., miR-27b-3p and miR-1228-3p) showing an interaction with UBE2v1, an ubiquitin-conjugating E2 enzyme variant that mediates the formation of lysine 63-linked ubiquitin chains, a mechanism we showed as involved in DN kidney fibrosis. Both miRNAs were confirmed to be down-regulated in DN biopsies, using qPCR and in situ hybridization, and in urines of DN patients. Interestingly, the urinary levels of both miRNAs were also able to discriminate among different degrees of renal fibrosis. Finally, we showed that the combined urinary expression of both miRNAs was also able to discriminate DN patients from other glomerulonephritides, both in the presence and absence of T2D. We identified two regulatory miRNAs potentially useful as diagnostic biomarkers of tubular-interstitial fibrosis in diabetic patients with DN.
2019-08-21 | GSE51674 | GEO
Project description:Transcriptome comparison of glomeruli from kidneys with diabetic nephropathy (DN) and glomeruli from the unaffected portion of tumor nephrectomies. Transcritomics profile of glomeruli in DN patients explored SRGAP2 was strongly associated with proteinuria and involved in podocyte cytoskeleton organization
2018-07-31 | GSE96804 | GEO
Project description:Validation of predicted gene expression of human mesangial cells after 24h Tacrolimus stimulus Objective: To evaluate tacrolimus as therapeutic option for diabetic nephropathy (DN) based on molecular profile and network-based molecular model comparisons. Materials and Methods: We generated molecular models representing pathophysiological mechanisms of DN and tacrolimus mechanism of action (MoA) based on literature derived data and transcriptomics datasets. Shared enriched molecular pathways were identified based on both model datasets. A newly generated transcriptomics dataset studying the effect of tacrolimus on mesangial cells in vitro was added to identify mechanisms in DN pathophysiology. We searched for features in interference between the DN molecular model and the tacrolimus MoA molecular model already holding annotation evidence as diagnostic or prognostic biomarker in the context of DN. Results: Thirty nine molecular features were shared between the DN molecular model, holding 252 molecular features and the tacrolimus MoA molecular model, holding 209 molecular features, with six additional molecular features affected by tacrolimus in mesangial cells. Significantly affected molecular pathways by both molecular model sets included cytokine-cytokine receptor interactions, adherens junctions, TGF-beta signaling, MAPK signaling, and calcium signaling. Molecular features involved in inflammation and immune response contributing to DN progression were significantly downregulated by tacrolimus (e.g. the tumor necrosis factor alpha (TNF), interleukin 4, or interleukin 10). On the other hand, pro-fibrotic stimuli being detrimental to renal function were induced by tacrolimus like the transforming growth factor beta 1 (TGFB1), endothelin 1 (EDN1), or type IV collagen alpha 1 (COL4A1). Conclusion: Patients with DN and elevated TNF levels might benefit from tacrolimus treatment regarding maintaining GFR and reducing inflammation. TGFB1 and EDN1 are proposed as monitoring markers to assess degree of renal damage. Next to this stratification approach, the use of drug combinations consisting of tacrolimus in addition to ACE inhibitors, angiotensin receptor blockers, TGFB1- or EDN1-receptor antagonists might warrant further studies.
2016-08-01 | GSE84908 | GEO
Project description:Tubulointerstitial injury plays an important role in diabetic nephropathy (DN) progression; however, no reliable urinary molecule has been used to predict tubulointerstitial injury and renal outcome of DN clinically. In this study, based on tubulointerstitial transcriptome, we identified secretory leukocyte peptidase inhibitor (SLPI) as the molecule associated with renal fibrosis and prognosis of DN. In tubular cells, high glucose could upregulate SLPI, which bound with β-catenin and GSK-3β reciprocally, abolished the interaction between β-catenin and GSK-3β, diminished GSK-3β-regulated β-catenin phosphorylation and the subsequent ubiquitination and degradation, thus led to β-catenin signaling activation and renal fibrosis. Db/db mice injected with adenovirus carrying Slpi-3xflag-GFP (Ad-Slpi-GFP) developed β-catenin signaling activation in the proximal tubule, worse albuminuria and tubulointerstitial fibrosis. Conversely, Slpi knockout (KO) mice with STZ-induced DN developed less albuminuria, tubulointerstitial fibrosis and β-catenin signaling activation. Furthermore, clinical studies showed that urinary SLPI protein level (uSLPI/Cr) had significant correlation with intrarenal SLPI mRNA and interstitial fibrosis. In an independent prospective cohort enrolled 711 patients with biopsy proven DN, uSLPI/Cr level was significantly associated with eGFR slope and improved the prediction value of renal outcome. Together, our study identified SLPI as a novel critical regulator for the progression of tubulointerstitial injury, which may be used as an independent risk predictor of DN progression.
2022-08-03 | GSE158230 | GEO
Project description:The early diagnosis of diabetic nephropathy (DN) is essential to improve the prognosis and manage patients affected by this disease. Standard biomarkers, including albuminuria and glomerular filtration rate, are limited to give a precise result. New molecular biomarkers are needed to identify better and predict DN disease evolution. Characteristic DN biomarkers can be identified using transcriptomic analysis. Blood samples were used to isolate RNA for microarray expression using Agilent SurePrint G3 Human Gene Expression 8x60K v2 Microarrays, we evaluated the transcriptomic profile of controls , prediabetes, type-2 diabetes mellitus, and DN.
2022-09-16 | E-MTAB-12135 | biostudies-arrayexpress