Program

PO2-12-25

Physalis angulata Leaf Extract Prevents the Fetal Brain Hypoxia in Pregnant Rats Treated with L-NAME through Inhibition of Inflammatory Cytokine

[Speaker] Setyawati Soeharto:1
[Co-author] Dian Nugrahenny:1, Elly Mayangsari:1, Nur Permatasari:1
1:Department of Pharmacology, Faculty of Medicine, Universitas Brawijaya, Indonesia

Background: Preeclampsia is the leading cause of morbidity and mortality during pregnancy. Inflammatory factors contribute to the development of fetal hypoxia in preeclampsia. This study aimed to evaluate the effect of Physalis angulata leaf methanolic extract on the inhibition of inflammatory factor and prevention of fetal brain hypoxia in pregnant Wistar rats treated with L-NG-nitroarginine methyl ester (L-NAME), as a model of preeclampsia.

Methods: Twenty-five pregnant Wistar rats were divided into five groups. Normal rats injected with phosphate-buffered saline (PBS) on G5-G17, preeclampsia rats subcutaneously injected with L-NAME (40 mg/kgBW) on G5-G17, and preeclampsia rats daily administered with oral P. angulata leaf methanolic extract at doses of 90, 270, or 450 mg/kgBW on G1-G17. On G18, the rats were sacrificed. Serum tumor necrosis factor-alpha (TNF-alpha) levels were determined by enzyme-linked immunosorbent assay (ELISA). Expressions of fetal brain hypoxia-inducible factor-1 alpha (HIF-1 alpha) were evaluated by immunohistochemistry using paraffin-embedded specimens obtained from three representative fetuses of each rat.

Results: The L-NAME injection in pregnant rats increased serum TNF-alpha level and expression of fetal brain HIF-1 alpha significantly (p < 0.05) compared to the normal controls. The supplementation of P. angulata leaf methanolic extract in pregnant rats treated with L-NAME inhibited the increase in serum TNF-alpha level and expression of fetal brain HIF-1 alpha compared to the normal controls.

Conclusion: P. angulata leaf methanolic extract inhibits the inflammatory factor, therefore prevents the fetal brain hypoxia in rat preeclampsia model.
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