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Biomarkers May Predict Zika-Related Birth Defects

November 2, 2018
Article

USC researchers have identified biomarkers associated with severe birth defects in babies born to women infected with the Zika virus, a discovery that could lead to screening tests and a better understanding about how the infection leads to fetal abnormalities.

The findings appear in the Nov. 2 Journal of Clinical Investigation Insight.

"The highest risk of birth defects is from Zika virus infection during the first and second trimester. A prenatal test has the potential to relieve the concerns of many expectant mothers," said Suan-Sin Foo, a research associate in the Department of Molecular Microbiology and Immunology at the Keck School of Medicine of USC and the study's first author. "We still have a lot to learn about how Zika virus affects the immune responses in the mother, and how infection can negatively impact her baby."

Most people infected with the Zika virus, which is spread by the Aedes mosquito, experience no symptoms or mild illness with low-grade fever. But fetuses exposed to Zika in the womb are at risk for devastating neurological defects. One of those defects, microcephaly -- a smaller-than-usual head size -- gained prominence in 2015 with Brazil reporting an unusual number of cases in babies born to mothers infected with the virus.

As those infants have become toddlers, some can't see, walk, chew or talk and will require a lifetime of care, according to the Centers for Disease Control and Prevention. In the United States, there have been approximately 2,483 pregnant women infected with Zika and 116 infants born with Zika-associated birth defects since 2015.

Aedes mosquitoes have been found in Los Angeles, but none carrying the Zika virus, according to the Los Angeles County Department of Public Health.

For the study, researchers examined the immune systems of pregnant women through blood samples taken during the first, second and third trimesters of pregnancy. They compared blood samples from 30 Zika-infected, pregnant women in Brazil with 30 healthy pregnant women in Brazil and 14 in Los Angeles.

Specifically, the researchers were looking at cytokines, which are messenger chemicals released by the body in response to an infection. Across a panel of 69 cytokines screened, they identified 16 cytokines that appeared to be associated with Zika-induced abnormal births.

It isn't clear whether the messenger chemicals cause the birth defects, or are secreted in response to something else, the researchers said.

"Ultrasound is routinely used during pregnancy to check a baby's condition, but there's a limit to what can be seen. Magnetic resonance imaging can give clear, high-resolution 'snapshots' of the fetus, but there are safety concerns for the baby and it is recommended for second- and third-trimester pregnancy," said Weiqiang Chen, a research associate in the Department of Molecular Microbiology and Immunology at the Keck School of Medicine and the study's co-first author. "Our findings identified a panel of biomarkers which may potentially be useful in predicting Zika-associated fetal outcomes regardless of pregnancy stages, simply by evaluating the mothers' blood."

This study was led by Jae Jung, distinguished professor and chair of the Department of Molecular Microbiology and Immunology of USC, in collaboration with Patricia Brasil of the Instituto Nacional de Infectologia Evandro Chagas in Brazil, and Karin Nielsen-Saines and Genhong Cheng of UCLA. Other authors are Shin-Ae Lee and Yen Chan of the Keck School of Medicine and Wai-Suet Lee of Griffith University in Australia.

Sourde: USC

The research was supported by grants from the National Institutes of Health (CA200422, CA180779, DE023926, AI073099, AI116585, AI129496, AI140705, AI069120, AI056154, AI078389, AI28697, AI40718 and AI129534-01), the Hastings Foundation and Fletcher Jones Foundation, Departamento de Cie?ncia e Tecnologia (DECIT/25000.072811/2016-17) do Ministe?rio da Sau?de do Brasil and Coordenacao de Aperfeicoamento de Pessoal de Nivel Superior CAPES/ 88887.116627/2016-01.

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