2021
DOI: 10.1016/j.placenta.2021.01.014
|View full text |Cite
|
Sign up to set email alerts
|

Decidual and placental NOD1 is associated with inflammation in normal and preeclamptic pregnancies

Help me understand this report

Search citation statements

Order By: Relevance

Paper Sections

Select...
2
1
1
1

Citation Types

0
7
0

Year Published

2021
2021
2023
2023

Publication Types

Select...
9
1

Relationship

1
9

Authors

Journals

citations
Cited by 11 publications
(7 citation statements)
references
References 60 publications
0
7
0
Order By: Relevance
“…Moreover, a higher level of NOD1 protein is related to development of IUGR, which leads to fetal and neonatal morbidity [ 38 ]. On the other hand, there is a higher level of NOD1 in trophoblasts in normal pregnancy, which has direct effects on maternal–fetal communication [ 39 ]. Therefore, changes in expression of NOD1 may be associated with maternal–fetal communication, which may be beneficial for pregnancy establishment in sheep.…”
Section: Discussionmentioning
confidence: 99%
“…Moreover, a higher level of NOD1 protein is related to development of IUGR, which leads to fetal and neonatal morbidity [ 38 ]. On the other hand, there is a higher level of NOD1 in trophoblasts in normal pregnancy, which has direct effects on maternal–fetal communication [ 39 ]. Therefore, changes in expression of NOD1 may be associated with maternal–fetal communication, which may be beneficial for pregnancy establishment in sheep.…”
Section: Discussionmentioning
confidence: 99%
“…PE is associated with increased decidual NOD1 expression. Activation of NOD1 is involved in the physiological in ammation that occurs during pregnancy through a cellular communication mechanism at the maternal-fetal interface and persists throughout pregnancy (Rakner et al, 2021).…”
Section: Discussionmentioning
confidence: 99%
“…A custom ImageJ script was used for the background correction and stitching of images [60][61][62]. The large tissue scans were further analyzed using custom MATLAB scripts (MathWorks, Natick, MA, USA, version 2017a) developed for the identification and automatic quantification of staining intensity [63][64][65], with the examiner blinded to the pregnancy outcome. Regions of the decidua with muscle cells, villous placental tissue, blood vessels, endometrial glands, and poor morphology were excluded by manually defining regions of disinterest (Figure 5A).…”
Section: Automated Quantification Of Protein Expressionmentioning
confidence: 99%