Back

Recombinant Expression of Aldehyde Dehydrogenase 2 (ALDH2) in Escherichia coli Nissle 1917 for Oral Delivery in ALDH2-Deficient Individuals

Ho, T.; Chang, C.; Wu, J.; Huang, I.; Tsai, L.; Lin, J.; Tai, E.; Chou, C.; Yang, J.; Wei, Y.; Yeh, C.; Chen, W.; Lu, D.; Chou, C.; Su, L.; Chang, N.; Huang, C.; Wang, C.; Abrena, P.; Cheung, C.; Yeh, C.; Whiteford, S.; Chen, P.; Huang, A.; Wu, A.; Wei, B.; Kao, E.; Lin, N.; Chang, A.; Yang, J.; Lin, Y.; Tsao, S.; Ward, N.; Chiang, T.; Clapper, J.

2019-06-21 synthetic biology
10.1101/674606 bioRxiv
Show abstract

Turning red after consuming alcohol may seem like a mere social inconvenience. Yet, this flushing response is caused by an accumulation of acetaldehyde, a carcinogenic intermediate of alcohol metabolism. Aldehyde dehydrogenase 2 (ALDH2) deficiency, the result of a point mutation, produces a less efficient ALDH2. The resulting accumulation of acetaldehyde greatly increases the risk of developing esophageal and head and neck cancers. In this study, we produced recombinant ALDH2 in the probiotic E. coli Nissle 1917, which successfully reduces acetaldehyde levels in simulated oral conditions. Packaged in a hard candy, the ALDH2-probiotic would remain in the mouth to specifically target salivary acetaldehyde. Using mathematical modeling, we also determined how much recombinant ALDH2 is needed to reduce elevated acetaldehyde levels.\n\nFinancial DisclosureThis work was funded by Taipei American School. The funders had no role in study design, data collection and analysis, decision to publish, or preparation of the manuscript.\n\nCompeting InterestsThe authors have declared that no competing interests exist.\n\nEthics StatementN/A\n\nData AvailabilityYes - all data are fully available without restriction. Sequences for the plasmids used in this study are available through the Registry of Standard Biological Parts. Links to raw data are included in Supplementary Information.

Matching journals

The top 4 journals account for 50% of the predicted probability mass.

50% of probability mass above

"Similar papers" are the closest papers from that journal in the model's embedding space. They show what the match is built on, but the ranking comes mostly from a classifier over the whole training set, not from these examples alone.