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Pallu Reddanna

Researcher at University of Hyderabad

Publications -  196
Citations -  6655

Pallu Reddanna is an academic researcher from University of Hyderabad. The author has contributed to research in topics: Arachidonic acid & Lipoxygenase. The author has an hindex of 43, co-authored 190 publications receiving 5909 citations. Previous affiliations of Pallu Reddanna include Sri Venkateswara University & Yahoo!.

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Journal Article

Traditional fish intake and fatty acid composition in fish consuming and non-fish consuming populations.

TL;DR: Differences in fatty acid profiles, particularly in the long-chain ω-3 series, are highlighted with the consumption of fish being a possible explanation between fish consuming and non-fish populations.
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Serum lipids and lipid peroxidation pattern in industrial and rural workers in India

TL;DR: The difference between rural and industrial workers in relation to lipids and lipid peroxide levels is determined to demonstrate the important role of lipid peroxides in age-associated cardiovascular diseases.
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Inhibition of Angiogenesis In Vitro by Chebulagic Acid: A COX-LOX Dual Inhibitor.

TL;DR: The results showed that chebulagic acid exerts an antiangiogenic effect, and further studies revealed that CA exerts its anti angiogenicEffect by modulating VE cadherin-β catenin signalling in human umbilical vein endothelial cells.
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Structure based drug design, synthesis and evaluation of 4-(benzyloxy)-1-phenylbut-2-yn-1-ol derivatives as 5-lipoxygenase inhibitors.

TL;DR: Biological results supported the in silico prediction with compound 4k exhibiting good inhibition with IC(50) value of 8 μM against 5-LOX and further studies demonstrated the protective effect of 4k in mouse Acute Lung Injury model induced by lipopolysaccharide (LPS).
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Tumor microenvironment determines drug efficacy in vitro - apoptotic and anti-inflammatory effects of 15-lipoxygenase metabolite, 13-HpOTrE.

TL;DR: 13-HpOTrE reduces viability of skin cancer cells in 2D cultures only but modulates inflammatory cytokine levels in the corresponding 3D tumor constructs, too, highlighting the need for screening of anticancer drugs employing 3D tumors and including tumor microenvironment in the screening process to increase the low success rate of clinical trials in oncology.