Evidence map›Paper›PMID 41249583›Full record

ArticleArchives of microbiology2025

Bioactive metabolites and antidiabetic activity of Cannabis sativa-derived endophytic fungi.

Sushil Agrahari, Shailendra P Singh, Brahma N Singh

Abstract read
PubMed Publisher
In one paragraph

Article in Archives of microbiology, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 1 paper.

0numbers the graph read from it
0cells of the map it votes in
1citing 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

1 citing paper in PubMed.

  1. Review
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

3 authors.

Sushil AgrahariHerbal Nanobiotechnology Lab, Pharmacology Division, CSIR-National Botanical Research Institute, Lucknow, 226001, India.
Shailendra P SinghCentre of Advanced Study in Botany, Department of Botany, Institute of Science, Banaras Hindu University, Varanasi, 221005, India.
Brahma N SinghHerbal Nanobiotechnology Lab, Pharmacology Division, CSIR-National Botanical Research Institute, Lucknow, 226001, India. bn.singh@nbri.res.in.

Funding

CSIR and UGC, India OLP-0115
6 · The paper itself

Abstract

Cannabis sativa L. (Cannabaceae) has long been valued in traditional medicine, including Ayurveda, for managing disorders such as diabetes, cancer, and kidney diseases. Although the plant itself is known to influence glucose metabolism, the therapeutic potential of its associated endophytic fungi remains underexplored. In this study, 56 fungal isolates were obtained from different tissues of C. sativa and evaluated for antidiabetic activity. Two isolates, identified by ITS1/4 rDNA sequencing as Aspergillus micronesiensis and Nodulisporium verrucosum, exhibited strong inhibitory effects on α-amylase, α-glucosidase, DPP-IV, and lipase (IC₅₀ < 100 µg/mL). Their ethyl acetate extracts demonstrated low cytotoxicity, enhanced cell viability, and significantly promoted insulin secretion in MIN6 pancreatic β-cells. GC-MS analysis revealed bioactive metabolites, including 1-butyl-4-tert-butylbenzene, 7,9-di-tert-butyl-1-oxaspiro (4,5) deca-6,9-diene-2,8-dione, 2-methylcinnamic acid, and tetraneurin-A, which are reported to possess antidiabetic potential. FTIR further confirmed the presence of functional groups corresponding to these compounds. Together, these findings highlight C. sativa-derived endophytic fungi as promising sources of novel antidiabetic agents, bridging traditional knowledge with modern drug discovery.

Indexed as

AspergillusCannabisEndophytesFungiHypoglycemic Agentsalpha-AmylasesAnimalsCell LineCell SurvivalEnzyme InhibitorsGas Chromatography-Mass SpectrometryInsulinInsulin-Secreting CellsLipaseMicealpha-AmylasesEnzyme InhibitorsHypoglycemic AgentsInsulinLipaseAntidiabetic activityBioactive metabolitesCannabis sativaEndophytic fungiInsulin secretion

Identifiers

What Socratic holds

Textmetadata
Read underepoch 390

Registered trials

None linked

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 Socratic graph.