Evidence map›Paper›PMID 42763912›Full record

ArticleChemistry & biodiversity2026

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

Rosa M Chinheya, Viviane L N Ngoungoure, Ibeabuchi Ali, Kolawole Olofinsan, Tsebo Jim, Francine Tankeu, Motlalepula G Matsabisa

Abstract readComparative Study
In one paragraph

Article in Chemistry & biodiversity, 2026. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

0numbers the graph read from it
0cells of the map it votes in
0citing papers in PubMed
–field-weighted citation impact
1 · What the graph read from it

What it found

Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.

The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.

2 · The registry

The trial behind it

Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.

Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.

3 · Its place in the literature

Who cites it

0 citing papers in PubMed.

No citing paper in PubMed yet.

4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

7 authors.

Rosa M ChinheyaAfrican Medicines Innovations and Technologies Development (AMIDT) Unit, Department of Pharmacology, University of the Free State, Bloemfontein, South Africa.ORCID https://orcid.org/0000-0002-6985-371X
Viviane L N NgoungoureAfrican Medicines Innovations and Technologies Development (AMIDT) Unit, Department of Pharmacology, University of the Free State, Bloemfontein, South Africa.ORCID https://orcid.org/0000-0002-3108-8725
Ibeabuchi AliAfrican Medicines Innovations and Technologies Development (AMIDT) Unit, Department of Pharmacology, University of the Free State, Bloemfontein, South Africa.ORCID https://orcid.org/0000-0001-7944-5165
Kolawole OlofinsanAfrican Medicines Innovations and Technologies Development (AMIDT) Unit, Department of Pharmacology, University of the Free State, Bloemfontein, South Africa.ORCID https://orcid.org/0000-0002-2987-0996
Tsebo JimAfrican Medicines Innovations and Technologies Development (AMIDT) Unit, Department of Pharmacology, University of the Free State, Bloemfontein, South Africa.
Francine TankeuAfrican Medicines Innovations and Technologies Development (AMIDT) Unit, Department of Pharmacology, University of the Free State, Bloemfontein, South Africa.
Motlalepula G MatsabisaAfrican Medicines Innovations and Technologies Development (AMIDT) Unit, Department of Pharmacology, University of the Free State, Bloemfontein, South Africa.ORCID https://orcid.org/0000-0003-2921-8882

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

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 (IC

Indexed as

CannabisDiabetes MellitusHypoglycemic AgentsInflorescencePlant Extractsalpha-Amylasesalpha-GlucosidasesAntioxidantsCannabinoidsGas Chromatography-Mass SpectrometryGlucoseGlycoside Hydrolase InhibitorsHumansMolecular Docking SimulationNitric Oxidealpha-Amylasesalpha-GlucosidasesAntioxidantsCannabinoidsGlucoseGlycoside Hydrolase InhibitorsHypoglycemic AgentsNitric OxidePlant Extractsantidiabetic protein targetsantioxidantscannabinoidsCannabis sativainflorescence

Identifiers

PMID42763912
PMCPMC13590137

What OpenQuestion holds

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Registered trials

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Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.