文献检索

查找使用阿拉丁产品的科研文献

检索与阿拉丁产品相关的同行评审论文、DOI、PubMed 编号、期刊、作者、CAS 号及研究领域。

科研影响力快照

与阿拉丁产品相关的已发表科研成果

在搜索之前,这些指标可帮助访客快速了解产品关联科研的规模与质量。

346,364+ SCI 论文 与阿拉丁产品引用相关
2,295,288.15 总影响因子 匹配文献记录中影响因子的总和
81.20 最高期刊影响因子 匹配期刊中的最高 IF
6.63 平均期刊影响因子 匹配文献的平均 IF

参考指标 指标基于阿拉丁文献引用数据库及期刊影响因子记录。文献关联仅供科研参考,请以原始文献为准。

热门产品

视图 列表 网格

显示第13至14个,产品总数14个

设置提升方向
CML
ECOTOXICOLOGY AND ENVIRONMENTAL SAFETY · 2019 · IF 4.527

The neurotoxicity of Nε-(carboxymethyl)lysine in food processing by a study based on animal and organotypic cell culture

Yang Wu,Yan Li,Liangqing Zheng,Pengcheng Wang,Yan liu,Yongning Wu,ZhiYong Gong

Nε-(carboxymethyl)lysine (CML) is a potentially noxious compound that is causing widespread concern due to its use in various food products. In this study, we investigated CML neurotoxicity via an in vivo experiment with mice, and an in vitro experiment using a 3D microvascular network model (with human brain vascular endothelial cell and human astrocyte) that simulated the blood-brain barrier. We found that CML could induce cell survival status variations, and histopathological changes to the brain. In addition, CML increased levels of oxidative stress , prompted the protein expression of the receptor for advanced glycation end-products (RAGE). CML up-regulated both the gene expression of RAGE, the activating protein-1 (AP-1), the inflammatory cytokines Interleukin-6 (IL-6), vascular cell adhesion molecule1 (VCAM-1), monocyte chemotactic protein1 (MCP-1). We, therefore, postulated that CML has the potential to deleteriously affect the nervous system through oxidative stress and that activation of the p38 MAPK-AP-1 signaling pathway might be implicated in this pathological process.

研究领域: 神经科学 · 毒理学 · 细胞生物学 · 食品科学
✓ 已验证 DOI PubMed 高影响因子
查看原文 查看 PubMed
JOURNAL OF PHARMACEUTICAL AND BIOMEDICAL ANALYSIS · 2024 · IF 3.1

Development of simultaneous quantitation method for 20 free advanced glycation end products using UPLC–MS/MS and clinical application in kidney injury

Yuzhu Xu,Menghe Huang,Yingting Chen,Lintao Yu,Meiran Wu,Shiyue Kang,Qiuyu Lin,Qiaoxuan Zhang,Liqiao Han,Haibiao Lin,Peifeng Ke,Wenjin Fu,Qizhi Tang,Jun Yan,Xianzhang Huang

Advanced glycation end products (AGEs), derived from the non-enzymatic glycation reaction, are defined as glycotoxins in various diseases including aging, diabetes and kidney injury. Exploring AGEs as potential biomarkers for these diseases holds paramount significance. Nevertheless, the high chemical structural similarity and great heterogeneity among AGEs present a formidable challenge when it comes to the comprehensive, simultaneous, and accurate detection of multiple AGEs in biological samples. In this study, an UPLC/MS/MS method for simultaneous quantification of 20 free AGEs in human serum was firstly established and applied to quantification of clinical samples from individuals with kidney injury. Simple sample preparation method through protein precipitation without derivatization was used. Method performances including imprecision, accuracy, sensitivity, linearity, and carryover were systematically validated. Intra- and inter- imprecision of 20 free AGEs were 1.93–5.94 % and 2.30–8.55 %, respectively. The method accuracy was confirmed with good recoveries ranging from 96.40 % to 103.25 %. The LOD and LOQ were 0.1–3.13 ng/mL and 0.5–6.25 ng/mL, respectively. Additionally, the 20 free AGEs displayed excellent linearity (R 2 >0.9974) across a wide linear range (1.56–400 ng/mL). Finally, through simultaneous quantitation of 20 Free AGEs in 100 participants including kidney injury patient and healthy controls, we identified six free AGEs, including N 6 -carboxyethyl-L-arginine (CEA), N 6 -carboxymethyl-L-lysine (CML), methylglyoxal-derived hydroimidazolones (MG-H), N 6 -formyl-lysine, N 6 -carboxymethyl-L-arginine (CMA), and glyoxal-derived hydroimidazolone (G-H), could well distinguish kidney injury patients and healthy individuals. Among them, the levels of four free AGEs including CML, CEA, MG-H, and G-H strongly correlate with traditionally clinical markers of kidney disease. The high area under the curve (AUC) values (AUC=0.965) in receiver operating characteristic (ROC) curve indicated that these four free AGEs can be served as combined diagnostic biomarkers for the diagnosis of kidney disease.

CAS / MDL: 692-04-6
研究领域: 临床化学 · 分析化学 · 肾病学 · 生物标志物研究
✓ 已验证 产品关联 DOI PubMed 高影响因子
查看原文 查看 PubMed
已复制

文献关联基于可获得的产品、CAS、DOI 及引用记录。收录不代表作者或出版方对阿拉丁产品的背书,请以原始文献为准。