Evidence map›Paper›PMID 42571622›Full record

ArticleChemistry & biodiversity2026

Unfolding the Pharmacological Potentialities and Phytochemical Characterization of Pajanelia longifolia (Wild) Leaves: A Multidimensional Study via GC-MS/MS, In Vitro, In Vivo, and In Silico Approaches.

Md Rasul Karim, Md Alfaz Hossain, Md Shamim, Md Riaz Hosen, Md Sabbir Hossain, Md Tanvir Hossain, Mst Sumaya Akhter, Khadija Tul Simran, Md Saiful Islam

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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.

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1 · What the graph read from it

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2 · The registry

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4 · The record

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5 · Who and what money

Authors and funding

9 authors.

Md Rasul KarimDepartment of Pharmacy, Islamic University, Kushtia, Bangladesh.ORCID https://orcid.org/0009-0001-9247-809X
Md Alfaz HossainDepartment of Pharmacy, Islamic University, Kushtia, Bangladesh.
Md ShamimDepartment of Pharmacy, Islamic University, Kushtia, Bangladesh.
Md Riaz HosenDepartment of Pharmacy, Islamic University, Kushtia, Bangladesh.
Md Sabbir HossainDepartment of Clinical Pharmacy and Pharmacology, Faculty of Pharmacy, University of Dhaka, Dhaka, Bangladesh.
Md Tanvir HossainDepartment of Pharmacy, Islamic University, Kushtia, Bangladesh.
Mst Sumaya AkhterDepartment of Pharmacy, Islamic University, Kushtia, Bangladesh.
Khadija Tul SimranDepartment of Pharmacy, Islamic University, Kushtia, Bangladesh.
Md Saiful IslamPharmaceutical Sciences Research Division, BCSIR Dhaka Laboratories, Bangladesh Council of Scientific and Industrial Research (BCSIR), Dhaka, Bangladesh.ORCID https://orcid.org/0000-0002-5792-463X

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Pajanelia longifolia (Willd.) is a traditionally used medicinal plant with limited scientific evidence regarding its phytochemical composition and pharmacological properties. This study aimed to characterize the phytochemical constituents of P. longifolia leaves and to evaluate their antioxidant, hypoglycemic, antidiarrheal, and analgesic potentials using the DPPH radical-scavenging assay, oral glucose tolerance test, castor oil-induced diarrhea, tail immersion, and acetic acid-induced writhing models, respectively. Methanolic leaf extract was subjected to GC-MS/MS analysis for phytochemical profiling. Molecular docking, drug-likeness, pharmacokinetic, and toxicity analyses were performed to explore potential interactions between identified phytochemicals and target proteins. GC-MS/MS analysis identified 76 phytochemical constituents, including γ-sitosterol, squalene, loliolide, and various fatty acid derivatives. Among the tested fractions, the chloroform fraction demonstrated the maximum hypoglycemic and antidiarrheal activities. In contrast, the n-hexane and ethyl acetate fractions showed notable central and peripheral analgesic effects, respectively. The aqueous fraction exhibited the strongest antioxidant activity. Molecular docking revealed favorable interactions of several identified compounds, particularly γ-sitosterol and phthalazine derivatives, with human pancreatic α-amylase, M1 muscarinic acetylcholine receptor, μ-opioid receptor, and cyclooxygenase-2. Drug-likeness, ADMET, and QSAR analyses further supported the pharmacological relevance of selected compounds. The combined findings suggest that the plant is a promising source of bioactive molecules.

Indexed as

AnalgesicsAntidiarrhealsAntioxidantsHypoglycemic AgentsPhytochemicalsPlant ExtractsAnimalsBiphenyl CompoundsDiarrheaGas Chromatography-Mass SpectrometryHumansMaleMiceMolecular Docking SimulationPicratesPlant LeavesAnalgesicsAntidiarrhealsAntioxidantsBiphenyl CompoundsHypoglycemic AgentsPhytochemicalsPicratesPlant ExtractsADMETanalgesic activityantidiarrheal activityantioxidant activityGC–MS/MShypoglycemic activitymolecular dockingPajanelia longifolia

Identifiers

PMID42571622
PMCPMC13453078

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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.