plasma cluster
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2021 ◽  
Author(s):  
Fan Feng ◽  
Mei Jiang ◽  
Wei Liu ◽  
Di Xu ◽  
Xiao-Mei Huang ◽  
...  

Abstract Background:Elevated serum total bile acid level is currently the main index for clinical diagnosis of intrahepatic cholestasis of pregnancy, but the use of TBA as a detection index has certain limitations. The early diagnosis of ICP and new treatment options still need to be further strengthened. Methods: Plasma samples were collected, and exosomes were isolated. Key differential proteins were screened by bioinformatics methods. ELISA method was used to detect the concentration of the key differential protein cluster in plasma samples, and the ROC curve was drawn to find out the best critical value. Results: There were 138 differentially expressed proteins between the ICP group and the normal group by quantitative analysis. Cluster protein was screened as a clinical validation index. The cluster protein concentration of plasma exosomes in the ICP group was significantly higher than that in the normal group (P<0.0001). ROC curve analysis showed that the best critical point for diagnosing ICP according to the plasma exosome cluster protein concentration of pregnant women was 255.28 ng/ml. In the ICP group, the best crucial point for predicting ICP with premature delivery is 286.72 ng/ml. Conclusion: the plasma exosome cluster protein concentration of ICP pregnant women is significantly higher than that of normal pregnant women. When the plasma cluster protein concentration of pregnant women is more remarkable than 255.28ng/ml, ICP can be diagnosed. When the plasma cluster protein concentration of pregnant women is higher than 286.72ng/ml, ICP pregnant women are more likely to have a premature birth.


2021 ◽  
Author(s):  
Fan Feng ◽  
Mei Jiang ◽  
Wei Liu ◽  
Di Xu ◽  
Xiao-Mei Huang ◽  
...  

Abstract Background:Elevated serum total bile acid level is currently the main index for clinical diagnosis of intrahepatic cholestasis of pregnancy, but the use of TBA as a detection index has certain limitations. The early diagnosis of ICP and new treatment options still need to be further strengthened. Methods: Plasma samples were collected, and exosomes were isolated. Key differential proteins were screened by bioinformatics methods. ELISA method was used to detect the concentration of the key differential protein cluster in plasma samples, and the ROC curve was drawn to find out the best critical value. Results: There were 138 differentially expressed proteins between the ICP group and the normal group by quantitative analysis. Cluster protein was screened as a clinical validation index. The cluster protein concentration of plasma exosomes in the ICP group was significantly higher than that in the normal group (P<0.0001). ROC curve analysis showed that the best critical point for diagnosing ICP according to the plasma exosome cluster protein concentration of pregnant women was 255.28 ng/ml. In the ICP group, the best crucial point for predicting ICP with premature delivery is 286.72 ng/ml. Conclusion: the plasma exosome cluster protein concentration of ICP pregnant women is significantly higher than that of normal pregnant women. When the plasma cluster protein concentration of pregnant women is more remarkable than 255.28ng/ml, ICP can be diagnosed. When the plasma cluster protein concentration of pregnant women is higher than 286.72ng/ml, ICP pregnant women are more likely to have a premature birth.


2017 ◽  
Vol 173 (4) ◽  
pp. 199-203
Author(s):  
Hiroaki Okano ◽  
Takashi Fujimura ◽  
Norihiko Fukuoka ◽  
Takaharu Hayashi ◽  
Kazuo Nishikawa ◽  
...  

2016 ◽  
Vol 9 ◽  
pp. 27 ◽  
Author(s):  
Kazuo Nishikawa ◽  
Takashi Fujimura ◽  
Yasuhiro Ota ◽  
Takuya Abe ◽  
Kareem Gamal ElRamlawy ◽  
...  

2012 ◽  
Vol 9 (1) ◽  
pp. 19-30
Author(s):  
Osami KAJIMOTO ◽  
Yukimasa KUBO ◽  
Kazuo NISHIKAWA ◽  
Shoko KAWAZOE ◽  
Tomohiro SUGINO

2010 ◽  
Vol 303 (5) ◽  
pp. 367-370 ◽  
Author(s):  
Keiichi Hiramoto ◽  
Kumi Orita ◽  
Yurika Yamate ◽  
Eisuke F. Sato ◽  
Hiroaki Okano ◽  
...  

PLoS ONE ◽  
2010 ◽  
Vol 5 (11) ◽  
pp. e13808 ◽  
Author(s):  
Kazuki Miyaji ◽  
Kenji Nagao ◽  
Makoto Bannai ◽  
Hiroshi Asakawa ◽  
Kaoru Kohyama ◽  
...  

2010 ◽  
Vol 7 (2) ◽  
pp. 113-116 ◽  
Author(s):  
Masahito NISHITANI ◽  
Tomohiro SUGINO ◽  
Takanori KADOWAKI ◽  
Nobuki SAKIKAWA ◽  
Kazuo NISHIKAWA ◽  
...  
Keyword(s):  

2009 ◽  
Vol 11 (11) ◽  
pp. 113023 ◽  
Author(s):  
T Antonova ◽  
B M Annaratone ◽  
J E Allen ◽  
T Sato ◽  
H M Thomas ◽  
...  

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