中文(简体)
Albanian
Arabic
Armenian
Azerbaijani
Belarusian
Bengali
Bosnian
Catalan
Czech
Danish
Deutsch
Dutch
English
Estonian
Finnish
Français
Greek
Haitian Creole
Hebrew
Hindi
Hungarian
Icelandic
Indonesian
Irish
Italian
Japanese
Korean
Latvian
Lithuanian
Macedonian
Mongolian
Norwegian
Persian
Polish
Portuguese
Romanian
Russian
Serbian
Slovak
Slovenian
Spanish
Swahili
Swedish
Turkish
Ukrainian
Vietnamese
Български
中文(简体)
中文(繁體)
Rinsho byori. The Japanese journal of clinical pathology 1990-Aug

[Highly sensitive apo B assay and its clinical significance].

只有注册用户可以翻译文章
登陆注册
链接已保存到剪贴板
Y Harano

关键词

抽象

Two sensitive and accurate methods for the determination of apo B using polyclonal antibody for human purified LDL are reported. Modified one step EIA by sandwich method is highly sensitive and serum has to be diluted by 1,000-3,000 times, but suited for the diagnosis of hypo or abetalipoproteinemia, detailed analyses of lipoprotein subfractions and in vitro study of lipoprotein metabolism. Latex method is moderately sensitive (serum dilution: 100 times), automated, simple and accurate with CV, 1.5-2.5%. Serum apo B assay is useful not only for the diagnosis of hyperlipidemia, hypolipidemia, but also for the analyses of atherogenic lipoproteins which are frequently associated with large vessel atherosclerotic changes in diabetes, obesity and coronary, cerebral or peripheral vascular diseases. A family pedigree of elevated apo B with frequent association of diabetes (type 2 b) and prominent hypercholesterolemia with autoimmune apo B antibody has been described. In obesity, either hyperinsulinemia or hyperglycemia plays a role in the elevation of VLDL and IDL probably through hepatic overproduction of VLDL. The size of VLDL tends to be larger in VLDL while IDL and LDL seem to become smaller judging from relative lipid contents to apo B.

加入我们的脸书专页

科学支持的最完整的草药数据库

  • 支持55种语言
  • 科学支持的草药疗法
  • 通过图像识别草药
  • 交互式GPS地图-在位置标记草药(即将推出)
  • 阅读与您的搜索相关的科学出版物
  • 通过药效搜索药草
  • 组织您的兴趣并及时了解新闻研究,临床试验和专利

输入症状或疾病,并阅读可能有用的草药,输入草药并查看所使用的疾病和症状。
*所有信息均基于已发表的科学研究

Google Play badgeApp Store badge