Two rare PROX1 variants in patients with lymphedema.

BACKGROUND: The PROX1 gene is specifically expressed in a subpopulation of endothelial cells that, by budding and sprouting, give rise to the lymphatic system. It also plays a critical role in neurogenesis and during development of many organs, such as the eye lens, liver, and pancreas. METHODS: We used next-generation sequencing (NGS) to sequence the DNA of a cohort of 246 Italian patients with lymphatic malformations. We first investigated 29 known disease-causing genes: 235 of 246 patients tested negative and were then retested for a group of candidate genes, including PROX1, selected from a database of mouse models. The aim of the study was to define these patients' genotypes and explore the role of the candidate gene PROX1 in lymphedema. RESULTS: Two of 235 probands were found to carry rare heterozygous missense variants in PROX1. In silico analysis of these variants-p.(Leu590His) and p.(Gly106Asp)-indicates that the overall protein structure was altered by changes in interactions between nearby residues, leading to functional protein defects. CONCLUSIONS: Our results suggest that PROX1 is a new candidate gene for predisposition to lymphedema.

In Silico Elucidation of the Plausible Inhibitory Potential of Withaferin A of Withania Somnifera Medicinal Herb Against Breast Cancer Targeting Estrogen Receptor.

BACKGROUND: Estrogen Receptors (ER) are members of the nuclear intracellular receptors family. ER once activated by estrogen, it binds to DNA via translocating into the nucleus and regulates the activity of various genes. Withaferin A (WA) - an active compound of a medicinal plant Withania somnifera was reported to be a very effective anti-cancer agent and some of the recent studies has demonstrated that WA is capable of arresting the development of breast cancer via targeting estrogen receptor. OBJECTIVE: The present study is aimed at understanding the molecular level interactions of ER and Tamoxifen in comparison to Withaferin A using In-silico approaches with emphasis on Withaferin A binding capability with ER in presence of point mutations which are causing de novo drug resistance to existing drugs like Tamoxifen. METHODS: Molecular modeling and docking studies were performed for the Tamoxifen and Withaferin A with the Estrogen receptor. Molecular docking simulations of estrogen receptor in complex with Tamoxifen and Withaferin A were also performed. RESULTS: Amino acid residues, Glu353, Arg394 and Leu387 was observed as crucial for binding and stabilizing the protein-ligand complex in case of Tamoxifen and Withaferin-A. The potential of Withaferin A to overcome the drug resistance caused by the mutations in estrogen receptor to the existing drugs such as Tamoxifen was demonstrated. CONCLUSION: In-silico analysis has elucidated the binding mode and molecular level interactions which are expected to be of great help in further optimizing Withaferin A or design / discovery of future breast cancer inhibitors targeting estrogen receptor.