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Teratogen update: Topical use and third-generation retinoids.

Amy Lavin WilliamsNelson D PaceJohn M DeSesso
Published in: Birth defects research (2020)
The first pharmaceutical retinoids approved by the U.S. Food and Drug Administration were given black-box warnings against their use in pregnancy due to potential teratogenic effects. These first- and second-generation retinoids were initially formulated for oral dosing and are structurally very similar to vitamin A, which has beneficial effects on skin as well as plays a vital role in driving healthy embryogenesis. Some of these early retinoids have since been reformulated for topical application, which has resulted in their diminished potential for systemic exposures. Additionally, rational drug design has been applied to create today's third-generation retinoids (adapalene, tazarotene, and bexarotene). These compounds include aromatic rings within their molecular cores to provide structural rigidity that contrasts with the flexible aliphatic backbone of vitamin A and the earlier generations of retinoids, and thus limits their off-target activity. As a result of these design features, the teratogenic potential in animals of the third-generation retinoids and those reformulated for topical use is generally less than seen with oral administration of earlier generations of retinoids. The available, but limited, epidemiologic data further show little-to-no teratogenic potential associated with real-life use of these compounds in humans. Given the paucity of epidemiologic data available at this time, however, it is recommended that the use of topical retinoids during pregnancy be avoided. However, in circumstances when inadvertent exposure in pregnancy may occur, the available data provide some reassurance that adverse pregnancy outcomes are unlikely.
Keyphrases
  • pregnancy outcomes
  • wound healing
  • human health
  • electronic health record
  • drug administration
  • big data
  • pregnant women
  • preterm birth
  • risk assessment
  • data analysis
  • machine learning
  • single molecule
  • binding protein