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Regulatory T‐cell Subpopulations in Severe or Early‐onset Preeclampsia

Overview of attention for article published in American Journal Of Reproductive Immunology, June 2015
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Title
Regulatory T‐cell Subpopulations in Severe or Early‐onset Preeclampsia
Published in
American Journal Of Reproductive Immunology, June 2015
DOI 10.1111/aji.12410
Pubmed ID
Authors

Roland Boij, Jenny Mjösberg, Judit Svensson-Arvelund, Maria Hjorth, Göran Berg, Leif Matthiesen, Maria C Jenmalm, Jan Ernerudh

Abstract

A deficiency in regulatory T (Treg) cells causing reduced immune regulatory capacity has been proposed in preeclampsia. Utilizing recent advances in flow cytometry phenotyping, we aimed to assess whether a deficiency of Treg subpopulations occurs in preeclampsia. Six-color flow cytometry was used for Treg phenotyping in 18 preeclamptic women (one early-onset, one severe and 16 both), 20 women with normal pregnancy, and 20 non-pregnant controls. No differences were found in major Treg populations including CD127(low) CD25(+) /CD127(ow) FOXP3(+) , resting (FOXP3(dim) CD45RA(+) ), and activated (FOXP3(bright) CD45RA(-) ) Treg cells, whereas preeclamptic women showed increased CTLA-4(+) and CCR4(+) proportions within resting/activated Treg populations. Corticosteroid treatment prior to blood sampling (n = 10) affected the distribution of Treg populations. Although we found no major alterations in circulating Treg frequencies, differences in CTLA-4(+) and CCR4(+) frequencies suggest a migratory defect of Treg cells in preeclampsia. Corticosteroid treatment should be taken into account when evaluating Treg cells.

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Mendeley readers

The data shown below were compiled from readership statistics for 41 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Unknown 41 100%

Demographic breakdown

Readers by professional status Count As %
Student > Ph. D. Student 9 22%
Student > Master 8 20%
Student > Bachelor 7 17%
Researcher 3 7%
Professor > Associate Professor 3 7%
Other 5 12%
Unknown 6 15%
Readers by discipline Count As %
Medicine and Dentistry 14 34%
Immunology and Microbiology 6 15%
Engineering 3 7%
Biochemistry, Genetics and Molecular Biology 3 7%
Agricultural and Biological Sciences 2 5%
Other 1 2%
Unknown 12 29%