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X Demographics
Mendeley readers
Attention Score in Context
| Title |
Decidual Stromal Cell Necroptosis Contributes to Polyinosinic-Polycytidylic Acid-Triggered Abnormal Murine Pregnancy
|
|---|---|
| Published in |
Frontiers in immunology, August 2017
|
| DOI | 10.3389/fimmu.2017.00916 |
| Pubmed ID | |
| Authors |
Shui-Xing Yu, Feng-Hua Zhou, Wei Chen, Gui-Mei Jiang, Chong-Tao Du, Gui-Qiu Hu, Zhen-Zhen Liu, Shi-Qing Yan, Jing-Min Gu, Xu-Ming Deng, Tong-Jun Lin, En-Kui Duan, Yong-Jun Yang |
| Abstract |
Infectious agents can reach the placenta either via the maternal blood or by ascending the genito-urinary tract, and then initially colonizing the maternal decidua. Decidual stromal cells (DSCs) are the major cellular component of the decidua. Although DSCs at the maternal-fetal interface contribute to the regulation of immunity in pregnancy in the face of immunological and physiological challenges, the roles of these DSCs during viral infection remain ill defined. Here, we characterized the response of DSCs to a synthetic double-stranded RNA molecule, polyinosinic-polycytidylic acid [poly(I:C)], which is a mimic of viral infection. We demonstrated that both transfection of cells with poly(I:C) and addition of extracellular (non-transfected) poly(I:C) trigger the necroptosis of DSCs and that this response is dependent on RIG-I-like receptor/IPS-1 signaling and the toll-like receptor 3/TIR-domain-containing adapter-inducing interferon-β pathway, respectively. Furthermore, following poly(I:C) challenge, pregnant mixed lineage kinase domain-like protein-deficient mice had fewer necrotic cells in the mesometrial decidual layer, as well as milder pathological changes in the uterine unit, than did wild-type mice. Collectively, our results establish that necroptosis is a contributing factor in poly(I:C)-triggered abnormal pregnancy and thereby indicate a novel therapeutic strategy for reducing the severity of the adverse effects of viral infections in pregnancy. |
X Demographics
The data shown below were collected from the profile of 1 X user who shared this research output. Click here to find out more about how the information was compiled.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| Switzerland | 1 | 100% |
Demographic breakdown
| Type | Count | As % |
|---|---|---|
| Members of the public | 1 | 100% |
Mendeley readers
The data shown below were compiled from readership statistics for 10 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| Unknown | 10 | 100% |
Demographic breakdown
| Readers by professional status | Count | As % |
|---|---|---|
| Student > Ph. D. Student | 2 | 20% |
| Other | 1 | 10% |
| Student > Bachelor | 1 | 10% |
| Student > Doctoral Student | 1 | 10% |
| Professor | 1 | 10% |
| Other | 1 | 10% |
| Unknown | 3 | 30% |
| Readers by discipline | Count | As % |
|---|---|---|
| Agricultural and Biological Sciences | 2 | 20% |
| Medicine and Dentistry | 2 | 20% |
| Nursing and Health Professions | 1 | 10% |
| Immunology and Microbiology | 1 | 10% |
| Arts and Humanities | 1 | 10% |
| Other | 0 | 0% |
| Unknown | 3 | 30% |
Attention Score in Context
This research output has an Altmetric Attention Score of 1. This is our high-level measure of the quality and quantity of online attention that it has received. This Attention Score, as well as the ranking and number of research outputs shown below, was calculated when the research output was last mentioned on 31 August 2017.
All research outputs
#22,764,772
of 25,382,440 outputs
Outputs from Frontiers in immunology
#27,431
of 31,531 outputs
Outputs of similar age
#286,827
of 327,230 outputs
Outputs of similar age from Frontiers in immunology
#386
of 433 outputs
Altmetric has tracked 25,382,440 research outputs across all sources so far. This one is in the 1st percentile – i.e., 1% of other outputs scored the same or lower than it.
So far Altmetric has tracked 31,531 research outputs from this source. They typically receive more attention than average, with a mean Attention Score of 8.4. This one is in the 1st percentile – i.e., 1% of its peers scored the same or lower than it.
Older research outputs will score higher simply because they've had more time to accumulate mentions. To account for age we can compare this Altmetric Attention Score to the 327,230 tracked outputs that were published within six weeks on either side of this one in any source. This one is in the 1st percentile – i.e., 1% of its contemporaries scored the same or lower than it.
We're also able to compare this research output to 433 others from the same source and published within six weeks on either side of this one. This one is in the 1st percentile – i.e., 1% of its contemporaries scored the same or lower than it.