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Mary Alice Smith

Researcher at University of Georgia

Publications -  38
Citations -  1450

Mary Alice Smith is an academic researcher from University of Georgia. The author has contributed to research in topics: Pregnancy & Listeria monocytogenes. The author has an hindex of 20, co-authored 37 publications receiving 1360 citations. Previous affiliations of Mary Alice Smith include Health Science University & Center for Food Safety.

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Porphyromonas gingivalis infection during pregnancy increases maternal tumor necrosis factor alpha, suppresses maternal interleukin-10, and enhances fetal growth restriction and resorption in mice.

TL;DR: P. gingivalis-induced murine FGR is associated with systemic dissemination of the organism and activated maternal immune and inflammatory responses and serum immunoglobulin G levels were significantly elevated in dams with FGR fetuses compared to dams with normal fetuses.
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Antimicrobial activity of clove (Syzgium aromaticum) oil in inhibiting Listeria monocytogenes on chicken frankfurters

TL;DR: Depending on the sensory considerations, the addition of clove oil to frankfurters may be an effective strategy to control L. monocytogenes in chicken frankfurter.
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Porphyromonas gingivalis Infection in Pregnant Mice Is Associated with Placental Dissemination, an Increase in the Placental Th1/Th2 Cytokine Ratio, and Fetal Growth Restriction

TL;DR: Data indicate that, within each litter there is placenta-specific translocation of P. gingivalis that results in growth restriction of the targeted fetus, which is associated with a shift in the placental Th1/Th2 cytokine balance.
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Preimplantation exposure to bisphenol A (BPA) affects embryo transport, preimplantation embryo development, and uterine receptivity in mice

TL;DR: The adverse effects of high doses of BPA on processes critical for embryo implantation: embryo transport, preimplantation embryo development, and establishment of uterine receptivity are demonstrated.
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Comparison of six dose-response models for use with food-borne pathogens.

TL;DR: To compare dose-response models for food-borne pathogens and determine which models were most appropriate for a range of pathogens, six statistical models were proposed and the Weibull-gamma was the only model capable of fitting all the data sets examined using the maximum likelihood estimation for comparisons.