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1.
Aging (Albany NY) ; 13(13): 17914-17929, 2021 06 11.
Article in English | MEDLINE | ID: mdl-34115611

ABSTRACT

BACKGROUND: Anemia is a common complication of chronic kidney disease (CKD). Treating renal anemia with erythropoiesis-stimulating agents (ESAs) or erythropoietin analogs is effective but has side effects. Therefore, we performed a meta-analysis to assess the efficacy and safety of roxadustat in treating CKD-induced anemia. METHODS: We searched publications online and conducted a meta-analysis and calculated relative risks with 95% confidence intervals (CIs) for dichotomous data and mean differences (MD) with 95% CIs for continuous data. RESULTS: Of 110 articles, nine were included that contained 12 data sets and 11 randomized control trials on roxadustat. In the non-dialysis-dependent (NDD) high-dose/low-dose subgroups, the change in hemoglobin (Hb) levels was significantly higher in the roxadustat group than in the placebo group (P<0.0001, P=0.001, respectively). The Hb response rate of the roxadustat is higher in the NDD subgroup than in the placebo group (P<0.00001, MD=6.92, 95% CI: 4.03, 11.89). However, in the dialysis-dependent subgroup, there was no significant difference in the change in Hb levels or the Hb response rate between the roxadustat and ESA groups. There was no change in the mortality in the roxadustat group compared to that in the placebo/ESA group. Hyperkalemia may be a side effect of roxadustat. CONCLUSIONS: Roxadustat elevated the serum Hb levels in a manner similar to that observed for ESAs. Roxadustat raised the Hb levels more significantly than the placebo and showed a higher Hb response rate than the placebo group in NDD patients. Roxadustat is a safe and effective drug for anemia in CKD patients.


Subject(s)
Anemia/drug therapy , Anemia/etiology , Glycine/analogs & derivatives , Isoquinolines/therapeutic use , Renal Insufficiency, Chronic/complications , Animals , Glycine/therapeutic use , Hematinics/therapeutic use , Hemoglobins/analysis , Hemoglobins/biosynthesis , Humans
2.
Nephron ; 142(1): 61-70, 2019.
Article in English | MEDLINE | ID: mdl-30677774

ABSTRACT

BACKGROUND: 12-Lipoxygenase (12-LO) and angiotensin II (Ang II) are involved in the development of diabetic renal hypertrophy, in which cyclin-kinase inhibitors, p21 and p27 play pivotal roles. Here, we study the effects of 12-LO and its interaction with Ang II on glomerular p21 and p27 expression in diabetic conditions. METHODS: Models used in the current study include glomerular mesangial cells (MCs); and glomeruli from (1) type 2 diabetic db/db mice; (2) type 2 diabetic rats induced by high-fat diet feeding followed by streptozotocin injection; (3) 12-LO knockout (12-LOKO) mice; and (4) normal rats infused with Ang II or 12(S)-hydroxyeicosatetraenoic acid (12[S]-HETE, arachidonic acid metabolite of 12-LO). RESULTS: The protein expression levels of p21 and p27 were increased in high glucose-stimulated MCs and in glomeruli isolated from db/db mice. In type 2 diabetic rats, cinnamyl-3,4-dihydroxy-α-cynanocinnamate (inhibitor of 12-LO) attenuated the increases in glomerular p21 and p27 protein expression, while in normal rats, 12(S)-HETE injection increased glomerular p21 and p27 expression. 12(S)-HETE and Ang II were mutually stimulated in glomeruli. Glomerular p21 and p27 expression were decreased in 12-LOKO mice compared to levels in control mice, and Ang II stimulation increased the protein expression of p27 in control but not 12-LOKO mice. Ang II stimulation had no effect on p21 protein expression in 12-LOKO mice. CONCLUSION: 12-LO is involved in diabetic renal hypertrophy via the induction of p21 and p27 protein expression and interacts with Ang II to induce p27 upregulation in diabetes. The current results suggest a potential amplifying loop in the pathogenesis of diabetic nephropathy.


Subject(s)
Angiotensin II/metabolism , Arachidonate 12-Lipoxygenase/metabolism , Cyclin-Dependent Kinase Inhibitor p21/metabolism , Cyclin-Dependent Kinase Inhibitor p27/metabolism , Diabetic Nephropathies/metabolism , Animals , Kidney Glomerulus/metabolism , Mice , Mice, Knockout , Rats , Rats, Sprague-Dawley
3.
Int J Mol Med ; 37(5): 1181-8, 2016 May.
Article in English | MEDLINE | ID: mdl-26986014

ABSTRACT

In this study, we aimed to explore the molecular mechanisms of and genetic factors influencing diabetic nephropathy (DN). Gene expression profiles associated with DN were obtained from the GEO database (Accession no. GSE20844). The differentially expressed genes (DEGs) between diabetic mice and non-diabetic mice were screened. Subsequently, the DEGs were subjected to functional and pathway analysis. The protein-protein interaction (PPI) network was constructed and the transcription factors (TFs) were screened among the DEGs. A total of 92 upregulated and 118 downregulated genes were screened. Pathway analysis revealed that the p53 signaling pathway, the transforming growth factor (TGF)-ß signaling pathway and the mitogen-activated protein kinase (MAPK) signaling pathway were significantly enriched by upregulated genes. Serpine1 (also known as plasminogen activator inhibitor-1), early growth response 1 (Egr1) and Mdk were found to be significant nodes in the PPI network by three methods. A total of 12 TFs were found to be differentially expressed, of which nuclear receptor subfamily 4, group A, member 1 (Nr4a1) and peroxisome proliferator-activated receptor gamma (Pparg) were found to have multiple interactions with other DEGs. We demonstrated that the p53 signaling pathway, the TGF-ß signaling pathway and the MAPK signaling pathway were dysregulated in the diabetic mice. The significant nodes (Serpine1, Egr1 and Mdk) and differentially expressed TFs (Nr4a1 and Pparg) may provide a novel avenue for the targeted therapy of DN.


Subject(s)
Computational Biology/methods , Diabetic Nephropathies/genetics , Diabetic Nephropathies/metabolism , Gene Expression Regulation/drug effects , Signal Transduction/drug effects , Animals , Cluster Analysis , Databases, Genetic , Diabetic Nephropathies/drug therapy , Disease Models, Animal , Gene Expression Profiling , Gene Regulatory Networks , Male , Mice , Molecular Targeted Therapy , Protein Interaction Mapping , Protein Interaction Maps , Transcription Factors/genetics , Transcription Factors/metabolism
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