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Updated: Apr 23, 2026

Determining the Likelihood of Variant Pathogenicity Using Amino Acid-level Signal-to-Noise Analysis of Genetic Variation
Published on: January 16, 2019
An in silico toxicogenomics approach for inferring potential diseases associated with maleic acid
Ying-Chi Lin1, Chia-Chi Wang2, Chun-Wei Tung3
1School of Pharmacy, College of Pharmacy, Kaohsiung Medical University, Kaohsiung, Taiwan; Ph.D. Program in Toxicology, College of Pharmacy, Kaohsiung Medical University, Kaohsiung, Taiwan.
Abstract:
Maleic acid is a multi-functional chemical widely applied in the manufacturing of polymer products including food packaging. However, the contamination of maleic acid in modified starch has raised the concerns about the effects of chronic exposure to maleic acid on human health. This study proposed a novel toxicogenomics approach for inferring functions, pathways and diseases potentially affected by maleic acid on humans by using known interactions between maleic acid and proteins. Neuronal signal transmission and cell metabolism were identified to be most influenced by maleic acid in this study. The top disease categories inferred to be associated with maleic acid were mental disorder, nervous system diseases, cardiovascular diseases, and cancers. The results from the in silico analysis showed that maleic acid could penetrate the blood-brain barrier to affect the nervous system. Several functions and pathways were further analyzed and identified to give insights into the mechanisms of maleic acid-associated diseases. The toxicogenomics approach may offer both a better understanding of the potential risks of maleic-acid exposure to humans and a direction for future toxicological investigation.
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