Crosstalk between the liver and kidney in diabetic nephropathy

Yang, Ming; Luo, Shilu; Yang, Jinfei; Chen, Wei; He, Liyu; Liu, Di; Zhao, Li; Wang, Xi

doi:10.1016/j.ejphar.2022.175219

Cited by 4 publications

(2 citation statements)

References 126 publications

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“…8 The accumulation of toxins in the body due to renal dysfunction has also been shown to exacerbate liver damage. 9 For example, accumulated uric acid stimulates fructokinase activity and increases the sensitivity of hepatocytes to fructose metabolism, leading to liver fat deposition. 10 Inevitably, these results suggested that these two diseases are related and can crosstalk each other as cytokines may function as a paradigm to reveal general crosstalk mechanisms and signalling networks.…”

Section: Introductionmentioning

confidence: 99%

“…Evidence suggests that besides the abnormal lipoprotein profile associated with metabolic syndrome and MAFLD, a range of cytokines and procoagulants secreted from the liver can affect the kidney 8 . The accumulation of toxins in the body due to renal dysfunction has also been shown to exacerbate liver damage 9 . For example, accumulated uric acid stimulates fructokinase activity and increases the sensitivity of hepatocytes to fructose metabolism, leading to liver fat deposition 10 .…”

Section: Introductionmentioning

confidence: 99%

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Identification of crosstalk genes relating to ECM‐receptor interaction genes in MASH and DN using bioinformatics and machine learning

Chen,

He,

et al. 2024

J Cellular Molecular Medi

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This study aimed to identify genes shared by metabolic dysfunction‐associated fatty liver disease (MASH) and diabetic nephropathy (DN) and the effect of extracellular matrix (ECM) receptor interaction genes on them. Datasets with MASH and DN were downloaded from the Gene Expression Omnibus (GEO) database. Pearson's coefficients assessed the correlation between ECM‐receptor interaction genes and cross talk genes. The coexpression network of co‐expression pairs (CP) genes was integrated with its protein–protein interaction (PPI) network, and machine learning was employed to identify essential disease‐representing genes. Finally, immuno‐penetration analysis was performed on the MASH and DN gene datasets using the CIBERSORT algorithm to evaluate the plausibility of these genes in diseases. We found 19 key CP genes. Fos proto‐oncogene (FOS), belonging to the IL‐17 signalling pathway, showed greater centrality PPI network; Hyaluronan Mediated Motility Receptor (HMMR), belonging to ECM‐receptor interaction genes, showed most critical in the co‐expression network map of 19 CP genes; Forkhead Box C1 (FOXC1), like FOS, showed a high ability to predict disease in XGBoost analysis. Further immune infiltration showed a clear positive correlation between FOS/FOXC1 and mast cells that secrete IL‐17 during inflammation. Combining the results of previous studies, we suggest a FOS/FOXC1/HMMR regulatory axis in MASH and DN may be associated with mast cells in the acting IL‐17 signalling pathway. Extracellular HMMR may regulate the IL‐17 pathway represented by FOS through the Mitogen‐Activated Protein Kinase 1 (ERK) or PI3K‐Akt–mTOR pathway. HMMR may serve as a signalling carrier between MASH and DN and could be targeted for therapeutic development.

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Section: Introductionmentioning

confidence: 99%

Section: Introductionmentioning

confidence: 99%

Identification of crosstalk genes relating to ECM‐receptor interaction genes in MASH and DN using bioinformatics and machine learning

Chen,

He,

et al. 2024

J Cellular Molecular Medi

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Comparative Effects of Crocin and Losartan on RAGE, TGF‐β, TNF‐α Gene Expression and Histopathological Changes of the Liver Tissue in Rats With Diabetes

Rajabi,

Mohammadi,

Kabiri‐rad

et al. 2024

Endocrino Diabet & Metabol

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Background and ObjectivesAGEs, via RAGE, increase the development of hyperglycemia‐induced liver damage, and blocking this axis is associated with a reduction in liver disease progression. The goal of this study was to determine how crocin and losartan influenced RAGE, TNF‐α and TGF‐β gene expression in diabetic rats, as well as histological changes in liver tissue.Materials and MethodsDiabetes was induced in 40 male Wistar rats using Streptozotocin (50 mg/kg, IP). There were five groups of rats: diabetic and healthy groups, diabetic rats given crocin (50 mg/kg), losartan (25 mg/kg) and both (crocin + Los). Serum glucose, ALT and AST levels were measured 4 weeks later. qPCR was used to examine the TNF‐α, TGF‐β and RAGE gene expression in liver tissue.ResultsCrocin was found to be effective in lowering FBG in the diabetes group. The serum levels of ALT and AST decreased in all treated groups, but this decrease was significant in the crocin + Los group (p < 0.05). The relative expression of RAGE, TNF‐α and TGF‐β genes was significantly higher in the diabetes group compared to the healthy group. The expression of these genes decreased in groups treated with crocin and Losartan compared to the diabetes group. The highest reduction in RAGE and TGF‐β gene expression was reported in those treated with crocin + Los. Histopathology results showed that the diabetes group had more bile ducts and necrosis than the healthy control group, which had no tissue changes. Hepatocyte degeneration, bile duct proliferation, inflammatory changes and hepatocyte necrosis were mild in the treated groups, but no hepatocyte necrosis was observed in the crocin + Los group.ConclusionCrocin may be a feasible therapeutic agent for treating diabetes and its symptoms when combined with pharmaceutical medications. Human research is still needed to reach clear conclusions.

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Evaluation of lipid profile, liver function enzymes, and trace elements in Iraqi diabetic nephropathy patients

Zaid,

Al-Fartusie,

Pazhang

et al. 2024

Biometals

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Crosstalk between the liver and kidney in diabetic nephropathy

Cited by 4 publications

References 126 publications

Identification of crosstalk genes relating to ECM‐receptor interaction genes in MASH and DN using bioinformatics and machine learning

Identification of crosstalk genes relating to ECM‐receptor interaction genes in MASH and DN using bioinformatics and machine learning

Comparative Effects of Crocin and Losartan on RAGE, TGF‐β, TNF‐α Gene Expression and Histopathological Changes of the Liver Tissue in Rats With Diabetes

Evaluation of lipid profile, liver function enzymes, and trace elements in Iraqi diabetic nephropathy patients

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