Lab assays and docking identify cannabis extracts as leads for diabetes research

Computational and Comparative In Vitro Evaluation of GC-MS Profiled Cannabis sativa Inflorescence Extracts' Metabolites on Selected Diabetes Therapeutic Targets.

Chemistry & biodiversity • • Observational • Highly Relevant
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AI Summary

The study asked whether Cannabis sativa inflorescence extracts show activity against laboratory targets related to diabetes. Researchers prepared extracts using hexane, dichloromethane, and methanol, identified metabolites by GC-MS, and tested the extracts in in vitro enzyme-inhibition, glucose-uptake, and antioxidant assays. The abstract reports the strongest activity for the hexane extract: it inhibited α-amylase with an IC50 of 727 µg/mL, scavenged DPPH free radicals with an IC50 of 478.62 µg/mL, and inhibited nitric oxide with an IC50 of 356.51 µg/mL.

The researchers also computationally docked 36 metabolites against diabetes-related proteins. Docking suggested strong binding affinities for 8-hydroxy-Δ9-THC, cannabivarin, and Δ9-THC with DPP-4, PTP1B, and other targets. These findings identify laboratory and computational leads, not evidence that cannabis extracts prevent or treat diabetes in people. This is an abstract-based summary: the work used in vitro assays and computational modeling, and the abstract says that further animal and clinical validation is needed.

💡 Key Findings

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Among the tested extracts, the hexane extract showed the strongest reported activity, including α-amylase inhibition (IC50 727 µg/mL).
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The hexane extract also showed DPPH radical-scavenging activity (IC50 478.62 µg/mL) and nitric oxide inhibition (IC50 356.51 µg/mL) in laboratory assays.
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Computational docking of 36 metabolites identified 8-hydroxy-Δ9-THC, cannabivarin, and Δ9-THC as having strong predicted binding affinities with DPP-4, PTP1B, and other diabetes-related targets.
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The results are preliminary: in vitro and computational findings do not establish antidiabetic effects in animals or people; the abstract calls for further validation.
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📄 Original Abstract

Cannabis sativa, a medicinal plant rich in cannabinoids, terpenoids, and flavonoids, has been shown to have various pharmacological activities. This study investigated the antidiabetic potential of C. sativa inflorescence extracts using in vitro and computational models. Dried C. sativa inflorescences were extracted sequentially with hexane, dichloromethane, and methanol, before their metabolites were identified by GC-MS. The extracts were tested for α-amylase and α-glucosidase inhibition, glucose uptake activity, and antioxidant effects using DPPH and nitric oxide (NO) inhibition assays. Thirty-six metabolites were further docked against diabetes-related proteins. Among the extracts, the hexane extract showed the strongest bioactivity with notable α-amylase inhibition (IC50: 727 µg/mL), DPPH free radical scavenging (IC50: 478.62 µg/mL), and nitric oxide inhibition activity (IC50: 356.51 µg/mL). Docking analyses revealed strong binding affinities for 8-hydroxy-delta-9-THC, cannabivarin, and 9-tetrahydrocannabinol with DPP-4, PTP1B, and other target proteins. These findings highlight the potential of C. sativa inflorescences as a source of antidiabetic agents, warranting further in vivo and clinical validation.

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