Evidence map›Paper›PMID 40467686›Full record

ArticleScientific reports2025

UPLC-HRMS-MS profiling of Ludwigia adscendens subsp. diffusa aerial parts and investigation of the anti-inflammatory effect.

Enas M Shawky, Rim Hamdy, Mohamed R Elgindi, Mostafa H Baky

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Article in Scientific reports, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 4 papers.

0numbers the graph read from it
0cells of the map it votes in
4citing 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

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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

4 citing papers in PubMed.

  1. Article
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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

4 authors.

Enas M ShawkyDepartment of Pharmacognosy, Faculty of Pharmacy, College of Pharmacy, Egyptian Russian University, Badr City, Cairo, 11829, Egypt.
Rim HamdyDepartment of Botany and Microbiology, Faculty of Science, Cairo University, Cairo, Egypt.
Mohamed R ElgindiDepartment of Pharmacognosy, Faculty of Pharmacy, Helwan University, Cairo, Egypt.
Mostafa H BakyDepartment of Pharmacognosy, Faculty of Pharmacy, College of Pharmacy, Egyptian Russian University, Badr City, Cairo, 11829, Egypt. dr_mostafa1984@yahoo.com.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Ludwigia adscendens subsp. diffusa (Forssk.) P.H. Raven, also known as L. stolonifera, is an aquatic herb belonging to family Onagraceae and widely distributed in canals and drains in the Nile Delta, Egypt. The main goal of the current study is to investigate the metabolic profile of L. adscendens aerial parts using ultra-high performance liquid chromatography coupled with high resolution mass spectrometry (UPLC-HRMS/MS) and investigation of its anti-inflammatory activity. A total of 168 metabolites were identified by UPLC-MS/MS analysis in negative and positive modes belonging to several phytochemical classes including phenolics (57), flavonoids (26), terpenoids (25), sterols (23), fatty acids (11), coumarins (7) organic acids (5), sugar derivatives (5), lactones (4), acids (3), and glycoside (2). The UPLC-MS analysis of L. adscendens revealed identification of a diverse array of phytochemicals which contribute to its potential pharmacological properties. The identification of bioactive metabolites in L. adscendens aerial parts including gallic acid, quercetin, ellagic acid, and betulinic acid can impart biological activities including antioxidant and anti-inflammatory activities. The anti-inflammatory activity was investigated for L. adscendens methanol and ethyl acetate extract using nitric acid inhibition assay revealing IC

Indexed as

Anti-Inflammatory AgentsPlant Components, AerialPlant ExtractsAnimalsChromatography, High Pressure LiquidFlavonoidsMicePhytochemicalsRAW 264.7 CellsTandem Mass SpectrometryAnti-Inflammatory AgentsFlavonoidsPhytochemicalsPlant ExtractsAnti-inflammatory activityLudwigia adscendensLudwigia stoloniferaMetabolic profilingOnagraceae

Identifiers

PMID40467686
PMCPMC12137884

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.