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Jaewoo Choi

Linus Pauling Institute, Oregon State University, Corvallis, OR 97331, USA.

2 papers in the library · 19 citations · publishing 2018-2025

Papers

Phytochemical characterization of Tabernanthe iboga root bark and its effects on dysfunctional metabolism and cognitive performance in high-fat-fed C57BL/6J mice

Journal of Food Bioactives September 30, 2018 Bayissi Bading-Taïka, Tunde Akinyeke, Armando Alcazar Magana et al. 14 citations

Root bark of the African shrub Tabernanthe iboga has been used in traditional medicine for fatigue, ritual neuro-stimulation, and diabetes treatment. Its main alkaloid, ibogaine, is known for reducing opioid craving. Using metabolomics, researchers identified five phenolic compounds and 30 alkaloids in the water extract, seven alkaloids previously unreported from the root bark. In male mice fed a high-fat diet for 10 weeks to induce metabolic syndrome, supplementing the diet with low or high doses of iboga extract did not improve increased body weight, plasma glucose, lipids, insulin, leptin, or most inflammatory markers. Only the low dose reduced the inflammatory mediator MCP-1. The high dose impaired spatial learning and memory in water maze tests, suggesting negative effects on cognition.

Psychedelic Drugs in Mental Disorders: Current Clinical Scope and Deep Learning‐Based Advanced Perspectives

Advanced Science March 20, 2025 Sung‐hyun Kim, Sumin Yang, Jeehye Jung et al. 5 citations

Psychedelic drugs such as psilocybin and LSD show renewed potential for treating mental disorders like anxiety, major depressive disorder, and autism spectrum disorder. However, individual genetic, epigenetic, and neural circuit differences create complex pharmacological responses, making precise prescription challenging. This review examines recent studies on psychedelics' diverse effects, covering structural function, the microbiota-gut-brain axis, and transcriptome perspectives. It also highlights deep learning and big data approaches as promising tools to clarify mechanisms and interindividual factors, aiming to improve drug discovery and advance precision medicine for psychiatric conditions.