Drug repurposing for reducing the risk of cataract extraction in patients with diabetes mellitus: integration of artificial intelligence-based drug prediction and clinical corroboration

Diabetes mellitus (DM) increases the incidence of age-related cataracts. Currently, no medication is approved or known to delay clinical cataract progression. Using a novel approach based on AI, we searched for drugs with potential cataract surgery-suppressing effects. We developed a drug discovery...

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Main Authors: Zhenxiang Gao (Author), Maria Gorenflo (Author), David C. Kaelber (Author), Vincent M. Monnier (Author), Rong Xu (Author)
Format: Book
Published: Frontiers Media S.A., 2023-05-01T00:00:00Z.
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042 |a dc 
100 1 0 |a Zhenxiang Gao  |e author 
700 1 0 |a Maria Gorenflo  |e author 
700 1 0 |a Maria Gorenflo  |e author 
700 1 0 |a David C. Kaelber  |e author 
700 1 0 |a Vincent M. Monnier  |e author 
700 1 0 |a Rong Xu  |e author 
245 0 0 |a Drug repurposing for reducing the risk of cataract extraction in patients with diabetes mellitus: integration of artificial intelligence-based drug prediction and clinical corroboration 
260 |b Frontiers Media S.A.,   |c 2023-05-01T00:00:00Z. 
500 |a 1663-9812 
500 |a 10.3389/fphar.2023.1181711 
520 |a Diabetes mellitus (DM) increases the incidence of age-related cataracts. Currently, no medication is approved or known to delay clinical cataract progression. Using a novel approach based on AI, we searched for drugs with potential cataract surgery-suppressing effects. We developed a drug discovery strategy that combines AI-based potential candidate prediction among 2650 Food and Drug Administration (FDA)-approved drugs with clinical corroboration leveraging multicenter electronic health records (EHRs) of approximately 800,000 cataract patients from the TriNetX platform. Among the top-10 AI-predicted repurposed candidate drugs, we identified three DM diagnostic ICD code groups, such as cataract patients with type 1 diabetes mellitus (T1DM), type 2 diabetes mellitus (T2DM), or hyperglycemia, and conducted retrospective cohort analyses to evaluate the efficacy of these candidate drugs in reducing the risk of cataract extraction. Aspirin, melatonin, and ibuprofen were associated with a reduced 5-, 10-, and 20-year cataract extraction risk in all types of diabetes. Acetylcysteine was associated with a reduced 5-, 10-, and 20-year cataract extraction risk in T2DM and hyperglycemia but not in T1DM patient groups. The suppressive effects of aspirin, acetylcysteine, and ibuprofen waned over time, while those of melatonin became stronger in both genders. Thus, the four repositioned drugs have the potential to delay cataract progression in both genders. All four drugs share the ability to directly or indirectly inhibit cyclooxygenase-2 (COX-2), an enzyme that is increased by multiple cataractogenic stimuli. 
546 |a EN 
690 |a aging 
690 |a cataract surgery 
690 |a pharmacological prevention 
690 |a aspirin 
690 |a acetylcysteine 
690 |a ibuprofen 
690 |a Therapeutics. Pharmacology 
690 |a RM1-950 
655 7 |a article  |2 local 
786 0 |n Frontiers in Pharmacology, Vol 14 (2023) 
787 0 |n https://www.frontiersin.org/articles/10.3389/fphar.2023.1181711/full 
787 0 |n https://doaj.org/toc/1663-9812 
856 4 1 |u https://doaj.org/article/1b8efde6b7f345cfac856c8bed90fba3  |z Connect to this object online.