Evidence map›Paper›PMID 40699260›Full record

ArticleJournal of computer-aided molecular design2025

Anti-inflammatory potential of Grewialin from Grewia optiva: insights from molecular docking, ADMET, DFT, and in-vitro studies.

Wali Ullah, Ghias Uddin, Abdur Rauf, Muhammad Umer Khan, Zuneera Akram, Chaudhry Ahmed Shabbir, Abdulhakeem S Alamri, Walaa F Alsanie, Marcello Iriti

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Article in Journal of computer-aided molecular design, 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. Article
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

9 authors.

Wali UllahHigher Education Department Khyber Pakhtunkhwa, Govt. Degree College Bakhshali, Peshawar, Pakistan.
Ghias UddinInstitute of Chemical Sciences, University of Peshawar, Peshawar, 25120, Pakistan.
Abdur RaufDepartment of Chemistry, University of Swabi, Swabi, Anbar, Khyber Pakhtunkhwa, Pakistan. mashaljcs@yahoo.com.
Muhammad Umer KhanInstitute of Molecular Biology and Biotechnology, The University of Lahore, Lahore, Pakistan.
Zuneera AkramDepartment of Pharmacology, Faculty of Pharmaceutical Sciences, Baqai Medical University, Karachi, Pakistan.
Chaudhry Ahmed ShabbirFaculty of Medical and Health Sciences, The University of Adelaide, Adelaide, SA, 5005, Australia.
Abdulhakeem S AlamriDepartment of Clinical Laboratory Sciences, The Faculty of Applied Medical Sciences, Taif University, Taif, Saudi Arabia.
Walaa F AlsanieDepartment of Clinical Laboratory Sciences, The Faculty of Applied Medical Sciences, Taif University, Taif, Saudi Arabia.
Marcello IritiDepartment of Biomedical, Surgical and Dental Sciences, University of Milan, via Luigi Vanvitelli 32, Milan, 20129, Italy. marcello.iriti@unimi.it.

Funding

Taif University TU-DSPP-2024-09
6 · The paper itself

Abstract

Grewia optiva, a medicinal plant native to northern Pakistan, has traditionally been valued for managing pain and inflammation. Among its bioactive constituents, Grewialin, a compound isolated from the stem bark, has garnered attention as a promising candidate for anti-inflammatory drug development. This study aimed to evaluate the anti-inflammatory potential of Grewialin using a combination of in-silico and in-vitro approaches, focusing on its effects on lipoxygenase (LOX) and neutrophil respiratory burst activity. Furthermore, the pharmacological and toxicological profiles of Grewialin were assessed to support its potential as a lead compound. Structure-based virtual screening identified Grewialin as a potential LOX inhibitor. Molecular docking studies revealed a significant binding score of -6.874 kcal/mol, indicating strong interactions with the active site of the LOX enzyme (5-LOX). ADMET profiling demonstrated its favourable pharmacokinetic and toxicological properties, while density functional theory (DFT) calculations highlighted its balanced electrophilic and nucleophilic properties, reflecting its chemical stability and reactivity. Experimental validation through in vitro assays confirmed Grewialin's potent inhibitory activity against LOX, with an IC50 value of 31.9 ± 0.03 µM. Additionally, Grewialin effectively inhibited neutrophil respiratory burst activity, achieving an IC50 of 317.62 ± 0.059 µM, further supporting its anti-inflammatory potential. These findings position Grewialin as a multifaceted anti-inflammatory agent with dual action targeting LOX and neutrophil respiratory burst activity. The combined in-silico and in-vitro results underscore its potential as a lead compound for developing anti-inflammatory drugs. Further research is warranted to explore its therapeutic mechanisms and optimize its efficacy, bridging traditional medicinal knowledge with modern pharmacological advancements. It is worth mentioning, though, that, in line with the aforementioned dual inhibitory profiles, Grewialin also demonstrated moderate potency (LOX and neutrophil respiratory), thus indicating that additional structural optimization or adequate formulation design is necessary to progress it toward therapeutic development. By leveraging the unique properties of Grewialin, this study contributes to the ongoing pursuit of novel, natural compounds for the effective management of inflammatory diseases. This comprehensive evaluation highlights the significance of Grewia optiva as a source of bioactive compounds, emphasizing the need for further exploration into its pharmacological application.

Indexed as

Anti-Inflammatory AgentsLipoxygenase InhibitorsAnimalsDensity Functional TheoryHumansLipoxygenaseMolecular Docking SimulationNeutrophilsRespiratory BurstAnti-Inflammatory AgentsLipoxygenaseLipoxygenase InhibitorsADMETAnd DFTAnti-inflammatoryBioactivityDockingDrug developmentGrewialinGrewia optivaLOX inhibitor

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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.