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1.
World J Diabetes ; 14(3): 222-233, 2023 Mar 15.
Artigo em Inglês | MEDLINE | ID: mdl-37035231

RESUMO

BACKGROUND: Advanced glycation end products (AGEs) are diabetic metabolic toxic products that cannot be ignored. Nε-(carboxymethyl)lysine (CML), a component of AGEs, could increase macrophage lipid uptake, promote foam cell formation, and thereby accelerate atherosclerosis. The receptor for AGEs (RAGE) and cluster of differentiation 36 (CD36) were the receptors of CML. However, it is still unknown whether RAGE and CD36 play key roles in CML-promoted lipid uptake. AIM: Our study aimed to explore the role of RAGE and CD36 in CML-induced mac-rophage lipid uptake. METHODS: In this study, we examined the effect of CML on lipid uptake by Raw264.7 macrophages. After adding 10 mmol/L CML, the lipid accumulation in macro-phages was confirmed by oil red O staining. Expression changes of CD36 and RAGE were detected with immunoblotting and quantitative real-time polymerase chain reaction. The interaction between CML with CD36 and RAGE was verified by immunoprecipitation. We synthesized a novel N-succinimidyl-4-18F-fluorobenzoate-CML radioactive probe. Radioactive receptor-ligand binding assays were performed to test the binding affinity between CML with CD36 and RAGE. The effects of blocking CD36 or RAGE on CML-promoting lipid uptake were also detected. RESULTS: The study revealed that CML significantly promoted lipid uptake by macro-phages. Immunoprecipitation and radioactive receptor-ligand binding assays indicated that CML could specifically bind to both CD36 and RAGE. CML had a higher affinity for CD36 than RAGE. ARG82, ASN71, and THR70 were the potential interacting amino acids that CD36 binds to CML Anti-CD36 and anti-RAGE could block the uptake of CML by macrophages. The lipid uptake promotion effect of CML was significantly attenuated after blocking CD36 or RAGE. CONCLUSION: Our results suggest that the binding of CML with CD36 and RAGE promotes macrophage lipid uptake.

2.
Sheng Li Xue Bao ; 74(6): 939-948, 2022 Dec 25.
Artigo em Chinês | MEDLINE | ID: mdl-36594382

RESUMO

Vascular calcification is an important pathophysiological basis of cardiovascular disease with its underlying mechanism unclear. In recent years, studies have shown that aging is one of the risk factors for vascular calcification. The purpose of this study was to investigate the microenvironmental characteristics of vascular calcification, identify aging/senescence-induced genes (ASIGs) closely related to calcified plaques, and explore the evolution trajectory of vascular calcification cell subsets. Based on the bioinformatics method, the single cell transcriptome sequencing data (Gene Expression Omnibus: GSE159677) of carotid artery samples from 3 patients undergoing carotid endarterectomy were grouped and annotated. Vascular calcification-related aging genes were identified by ASIGs data set. The pseudotime trend of ASIGs in cell subsets was analyzed by Monocle 3, and the evolution of vascular calcification cells was revealed. After quality control, all cells were divided into 8 cell types, including B cells, T cells, smooth muscle cells, macrophages, endothelial cells, fibroblasts, mast cells, and progenitor cells. Ten ASIGs related to vascular calcification were screened from the data set of ASIGs, which include genes encoding complement C1qA (C1QA), superoxide dismutase 3 (SOD3), lysozyme (LYZ), insulin-like growth factor binding protein-7 (IGFBP7), complement C1qB (C1QB), complement C1qC (C1QC), Caveolin 1 (CAV1), von Willebrand factor (vWF), clusterin (CLU), and αB-crystallin (CRYAB). Pseudotime analysis showed that all cell subsets were involved in the progression of vascular calcification, and these ASIGs may play an important role in cell evolution. In summary, AGIS plays an important role in the progression of vascular calcification, and these high expression genes may provide ideas for early diagnosis and treatment of vascular calcification.


Assuntos
Células Endoteliais , Calcificação Vascular , Humanos , Músculo Liso Vascular , Envelhecimento , Calcificação Vascular/genética , Calcificação Vascular/metabolismo , Biologia Computacional , Miócitos de Músculo Liso/metabolismo
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