Evidence mapPaperPMID 40435181Full record

ArticlePloS one2025

Therapeutic role of Crateva religiosa in diabetic nephropathy: Insights into key signaling pathways.

Muhammad Ali, Hafiz M Irfan, Alamgeer, Aman Ullah, Magda H Abdellattif, Mahmoud Elodemi, Mohammad Zubair, Ajmal Khan, Ahmed Al-Harrasi

Abstract read
In one paragraph

Article in PloS one, 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.

Muhammad AliCollege of Pharmacy, University of Sargodha, Sargodha, Pakistan.
Hafiz M IrfanCollege of Pharmacy, University of Sargodha, Sargodha, Pakistan.ORCID https://orcid.org/0000-0003-0572-2072
AlamgeerPunjab University College of Pharmacy, University of the Punjab, Lahore, Pakistan.
Aman UllahDepartment of Pharmacy, Saba Medical Centre, Abu Dhabi, United Arab Emirates.
Magda H AbdellattifChemistry Department, College of Sciences, University College of Taraba, Taif University, Taif, Saudi Arabia.ORCID https://orcid.org/0000-0002-8562-4749
Mahmoud ElodemiDepartment of Pharmacology, Faculty of Medicine, University of Tabuk, Tabuk, Saudi Arabia.
Mohammad ZubairDepartment of Medical Microbiology, Faculty of Medicine, University of Tabuk, Tabuk, Saudi Arabia.
Ajmal KhanNatural and Medical Sciences Research Center, University of Nizwa, Nizwa, Oman.
Ahmed Al-HarrasiNatural and Medical Sciences Research Center, University of Nizwa, Nizwa, Oman.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Crateva religiosa, a plant used in traditional medicine, is valued for its bioactive properties. Traditional approaches are more accepted worldwide as a cost effective alternatives being used in network pharmacology to explore the complex interactions of drug targets among molecular pathways. The study investigated the potential of Crateva religiosa's phytoconstituents using meticulous computational analysis and empirical confirmation. The IMPPAT, GeneCards and DisGeNET data bases were used to obtain the active moieties and disease targets respectively. Crateva phytoconstituent's DN-target network and protein-protein interaction (PPI) network were developed and analyzed using the STRING online platform and Cytoscape software. GO and KEGG analyses were conducted using the g: profiler databases while the process of molecular docking involved the use of MOE software. The screening process identified dillapiole (CR-C1), beta ionone (CR-C2) 10-epi-γ-eudesmol (CR-C3), cis/trans linalool oxide (CR-C4/5) and nerolidol (CR-C6), as potential active phytoconstituents of C. religiosa and AKT1, PPARG, PTGS2, EGFR, ESR1, JAK2, MAPK1, PARP1, GSK3B, and PPARA as matching targets in DN. The enrichment analysis revealed that the common targets were primarily linked to inflammatory response, oxidative stress, immunological modulation, and cell death. The main signal pathways suggested were PI3K-Akt, AGE-RAGE, and IL-17. Moreover, molecular docking analysis determined that the AKT1, PPARG and PTGS2 are the essential targets that had a good affinity for their respective active molecules.

Indexed as

Diabetic NephropathiesPlant ExtractsSignal TransductionHumansMolecular Docking SimulationProtein Interaction MapsPlant Extracts

Identifiers

PMID40435181
PMCPMC12118869

What Socratic holds

Textmetadata
LicenceCC BY
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.