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The Impact of Genetic Susceptibility to Systemic Lupus Erythematosus on Placental Malaria in Mice

Overview of attention for article published in PLOS ONE, May 2013
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Title
The Impact of Genetic Susceptibility to Systemic Lupus Erythematosus on Placental Malaria in Mice
Published in
PLOS ONE, May 2013
DOI 10.1371/journal.pone.0062820
Pubmed ID
Authors

Michael Waisberg, Christina K. Lin, Chiung-Yu Huang, Mirna Pena, Marlene Orandle, Silvia Bolland, Susan K. Pierce

Abstract

Severe malaria, including cerebral malaria (CM) and placental malaria (PM), have been recognized to have many of the features of uncontrolled inflammation. We recently showed that in mice genetic susceptibility to the lethal inflammatory autoimmune disease, systemic lupus erythematosus (SLE), conferred resistance to CM. Protection appeared to be mediated by immune mechanisms that allowed SLE-prone mice, prior to the onset of overt SLE symptoms, to better control their inflammatory response to Plasmodium infection. Here we extend these findings to ask does SLE susceptibility have 1) a cost to reproductive fitness and/or 2) an effect on PM in mice? The rates of conception for WT and SLE susceptible (SLE(s)) mice were similar as were the number and viability of fetuses in pregnant WT and SLE(s) mice indicating that SLE susceptibility does not have a reproductive cost. We found that Plasmodium chabaudi AS (Pc) infection disrupted early stages of pregnancy before the placenta was completely formed resulting in massive decidual necrosis 8 days after conception. Pc-infected pregnant SLE(s) mice had significantly more fetuses (∼1.8 fold) but SLE did not significantly affect fetal viability in infected animals. This was despite the fact that Pc-infected pregnant SLE(s) mice had more severe symptoms of malaria as compared to Pc-infected pregnant WT mice. Thus, although SLE susceptibility was not protective in PM in mice it also did not have a negative impact on reproductive fitness.

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Geographical breakdown

Country Count As %
United Kingdom 2 6%
Brazil 1 3%
Unknown 31 91%

Demographic breakdown

Readers by professional status Count As %
Unspecified 5 15%
Researcher 5 15%
Lecturer 4 12%
Student > Master 4 12%
Other 3 9%
Other 11 32%
Unknown 2 6%
Readers by discipline Count As %
Medicine and Dentistry 10 29%
Agricultural and Biological Sciences 5 15%
Design 5 15%
Nursing and Health Professions 3 9%
Immunology and Microbiology 3 9%
Other 4 12%
Unknown 4 12%