Study Reveals Compounds in Green Tea and Red Wine May Treat Inborn Congenital Metabolic Disorders


Researchers from the Tel Aviv University, Israel suggest that inborn congenital metabolic diseases could be treated by compounds found in green tea and in red wine

Metabolic disorders inherited by birth result in a critical enzyme deficiency due to defective genes. The unavailability of effective treatment in such disorders need adherence to a strict and demanding diet for a lifetime. Now a research led by Prof. Ehud Gazit of TAU’s Faculty of Life Sciences identified certain compounds in green tea and red wine that can restrict formation of toxic metabolites. The team identified two compounds – epigallocatechin gallate, (EGCG) in green tea and tannic acid in red wine. While EGCG has several health benefits, tannic acid restricts formation of toxic amyloid structures that cause Alzheimer’s and Parkinson’s disease. Inborn congenital metabolic diseases restrain production of vital metabolic enzymes in the body. It results in blockage of metabolites that cause severe developmental and mental disorders. Phenylketonuria (PKU) results in aggregation of the metabolite phenylalanine and infants suffering from this disorder must adhere to a strict phenylalanine- free diet for the rest of their lives. Phenylalanine is capable of self-assembly and can form amyloid structures found commonly in Alzheimer’s and Parkinson’s diseases. The accumulated metabolites also underwent self-assembly processes to form toxic amyloid aggregates.

The team focused on EGCG and tannic acid using test tubes and culture cell systems. Both the substances were tested on adenine, cumulative tyrosine and phenylalanine related to three innate metabolic diseases. The results revealed that tannic acid and EGCG effectively restricted formation of toxic amyloid structures. The results were verified using computer simulations and could play a pivotal role in understanding the importance of metabolites in various neurodegenerative diseases and cancer. The research was published in the Nature group journal Communications Chemistry on May 03, 2018.


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