Evaluation of Injury Degree of Adriamycin-Induced Nephropathy in Rats Based on Serum Metabolomics Combined with Proline Marker.

Nephrotic syndrome (NS) is one of the leading causes of end-stage renal failure. Unfortunately, reliable surrogate markers for early diagnosing and monitoring the entire progression of NS are as yet absent. A method using UPLC-Q exactive HR-MS was established for the serum metabolomic study of adriamycin-induced nephropathy in rats. Two rat nephropathy models induced by adriamycin were adopted to reflect different degrees of renal damage of early and advanced stages. Then two MPC5 cell models were used to verify the role of proline in the progression of kidney injury. The results showed that seven metabolites such as 14S-HDHA, DPA, and DHA were associated with early renal injury, while 12 metabolites such as tryptophan, linoleyl carnitine, and LysoPC (18:3) reflected the advanced renal disease. At the same time, metabolites including LPE (22:6), LysoPC (22:5), and proline that changed during the whole process of NS were defined as progressive markers. Pathway analysis results showed that fatty acid metabolism, glycerophospholipid metabolism, and amino acids metabolism participated in the occurrence and development of NS. In addition, the change trend of intracellular proline content was consistent with that in serum, and the results were further supported by the detection of the crucial gene PYCRL. This study provides an important basis for searching for diagnostic markers of NS and also provides a methodological reference for early diagnosing and monitoring the pathogenesis of other progressive diseases.

Exploration the active compounds of Astragali Radix in treatment of adriamycin nephropathy by network pharmacology combined with transcriptomic approach.

PURPOSE: This paper aimed to study the active compounds of Astragali Radix (AR) in the treatment of adriamycin nephropathy (AN) by a combination of network pharmacology and transcriptomics. METHODS: The chemical compounds of AR were screened out by text mining and database searching. Pharm Mapper was used to predict the targets of these chemical compounds. Potential targets of AN were screened by integrating the data from network pharmacology with known transcriptomics analysis results of kidney tissue. Compound-active target-potential target interactions networks were constructed so as to illustrate the relationship between compounds and targets, and obtain the chemical compounds directly related to potential targets of AN. The formula of compound contribution index (CI) based on algorithm was used to screen the active compounds of AR in the treatment of AN. In addition, we established an adriamycin-induced cell damage model with MPC5 cell, and used MTT assay, trypan blue dyeing and western blot analyses to validate the pharmacodynamic effect of the active compounds. RESULTS: 27 chemical compounds and 376 targets in AR were obtained by network pharmacology. Through Compound-active target-potential target interactions networks analysis, 22 compounds and 9 active targets as well as 130 potential targets were linked through 282 edges. The CI of every chemical compounds was further calculated by formula, the first four chemical compounds, including astragaloside IV, formononetin, quercetin and calycosin, whose cumulative contribution rate reached 87.28%, were considered to be active compounds. The results of MTT and trypan blue staining indicate that four active compounds had the significant protective effect on adriamycin-induced cell damage with MPC5 cell. Western blot result showed that four active compounds could significantly increase the expression of podocin protein in MPC5 cell. CONCLUSION: The active compounds of AR in the treatment of AN were successfully identified by using a network pharmacology and transcriptomics approach. This approach is expected to be beneficial to the study of the pharmacodynamic material basis of traditional Chinese medicine (TCM) in treating specific diseases.

Metabolomics coupled with integrative pharmacology reveal the protective effect of FangjiHuangqi Decoction against adriamycin-induced rat nephropathy model.

With the development of the society, the number of people who got the nephrotic syndrome (NS) is going up roughly. Therefore, finding a better way to treat NS is becoming a major global public health issue. As we all know, traditional Chinese medicine (TCM), especially Fangji Huangqi Decoction (FHD), has a long history and has good curative effects on NS. However, the mechanism of FHD treating NS has not been clearly elucidated. To address this problem, a feasible system was developed by metabolomics and integrative pharmacology approach. To study the mechanisms of Chinese medical formula FHD treating NS based on metabolomics and integrative pharmacology. In this study, a NMR based metabolomics approach coupled with biochemical assay and Western Blot had been employed to study the protective effect of FHD against adriamycin-induced nephropathy using rat model. And we proposed a integrative pharmacology-based method, which combined chemical ingredients database building, target identification and network analysis. These were aimed to decipher the mechanisms of action for the FHD in NS treatment. Multivariate analysis revealed that 13 of 16 perturbed metabolites could be reversed by FHD, and the MetaboAnalyst analysis revealed that the anti-nephrotic syndrome effect of FHD was probably related with regulation of alanine, aspartate and glutamate metabolism, citrate cycle, pyruvate metabolism, cysteine and methionine metabolism and glyoxylate and dicarboxylate metabolism. The integrative pharmacology analysis revealed 93 potential targets for FHD, and suggested that the protective effect of FHD on the nephrotic syndrome was probably related with the regulation of immune, and energy metabolic and fatty acid metabolic. In addition, both the metabolomics and the integrative pharmacology are focus together on the alanine, aspartate and glutamate metabolism pathway. These metabolites changes and the core targets changes, as well as the metabolite-target pathway network provide insights into the mechanisms of FHD treating nephrotic syndrome, and further studies are needed to validate the bioactive compounds responsible for the anti-nephrotic syndrome effect of FHD.