Evidence map›Paper›PMID 40814029›Full record

ArticleBMC plant biology2025

HPLC, GC-MS, XRD profiling, enzyme inhibition and cytotoxicity potential of Phlomis Stewartii extracts using response surface methodology.

Mamoon Ur Rasheed, Haroon Rashid, Shifa Iman, Sadaf Oranab, Muhammad Abdul Rahim, Mohamed H Mahmoud, Roberto Castro-Muñoz, Eliasse Zongo

Abstract read
In one paragraph

Article in BMC plant biology, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

0numbers the graph read from it
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0citing papers in PubMed
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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

0 citing papers in PubMed.

No citing paper in PubMed yet.

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

8 authors.

Mamoon Ur RasheedDepartment of Chemistry, Government College University, Faisalabad, 38040, Pakistan.
Haroon RashidDepartment of Physiology, Faculty of Veterinary and Animal Sciences, The Islamia University of Bahawalpur, Bahawalpur, 63100, Pakistan. haroonrashid@iub.edu.pk.
Shifa ImanDepartment of Pharmacology, Government College University, Faisalabad, 38040, Pakistan.
Sadaf OranabDepartment of Chemistry, Government College University, Faisalabad, 38040, Pakistan.
Muhammad Abdul RahimDepartment of Food Science & Nutrition, Faculty of Medicine and Allied Health Sciences, Times University, Multan, Pakistan. mabdulrahim@t.edu.pk.
Mohamed H MahmoudDepartment of Biochemistry, College of Science, King Saud University, Riyadh, Kingdom of Saudi Arabia.
Roberto Castro-MuñozDepartment of Sanitary Engineering, Faculty of Civil and Environmental Engineering, Gdansk University of Technology, 11/12 Narutowicza St., Gdansk, 80-233, Poland.
Eliasse ZongoLaboratory of Research and Teaching in Animal Health and Biotechnology, Nazi Boni University, Bobo-Dioulasso, 01 BP 1091, Burkina Faso. zongoeliasse@yahoo.fr.

Funding

King Saud University ORF-2025-406
6 · The paper itself

Abstract

The mechanical extraction of various phytochemicals from Phlomis stewartii (P. stewartii) was modeled using response surface methodology (RSM). The Box-Behnken design (BBD) was used to optimize the three independent variables comprising of 17 experimental runs, with the experiments randomly arranged to minimize the effects of unexpected variation in the observed dependent variables {extraction yield, total phenolic content (TPC), and total flavonoid content (TFC)} due to systematic errors. The speed (X1, 100, 150 and 200 rpm), solvent volume (X2, 100 and 150 and 200 mL), and extraction time (X3, 2, 5 and 100 h) at 3-levels (high and low coded levels) were used to evaluate BBD of RSM. Results showed that the maximum value of yield, TPC and TFC in leaves ethanol extracts (LEE); flower ethanol extract (FEE), and whole plant ethanol extracts (WPEE) were observed at the following extraction conditions: A X1 of 150 rpm, X2 of 200 mL and X3 at 8 h. The minimum values were observed at an X1 of 150 rpm, X2 of 100 mL and X3 of 2 h. Analysis of variance (ANOVA) and the interaction effects of independent factors showed that X2 and X3 significantly positively influenced the response variables. These values closely matched the predicted yield, TPC and TFC. High-performance liquid chromatography (HPLC) analysis reveals that hydroxybenzoic acid, p-coumaric acid, gallic acid, chlorogenic acid, and salicylic acid, are the major secondary metabolites in the extracts. Gas chromatography-mass spectrometry (GC-MS) analysis showed the presence of different compounds such as thiazole, 2-ethylacridine, silicic acid, arsenous acid, 3,5-ethanoquinolin-10-one, and hexahydropyridine. All these identified compounds exhibit a wide range of various biological potential, including anti-viral, anti-inflammatory, anti-diabetic and anti-bacterial activities. The highest α-amylase inhibitory potential IC50 (53.33 ± 0.21 µg/mL), and α-glucosidase inhibitory potential IC50 (51.07 ± 0.17 µg/mL) were shown by LEE extracts. The study concludes that LEE extracts may have anti-inflammatory, immunomodulatory, antioxidant, hepatoprotective, and nephroprotective potential, suggesting potential for further investigation in diabetes management.

Indexed as

Enzyme InhibitorsPlant ExtractsChromatography, High Pressure LiquidFlavonoidsGas Chromatography-Mass SpectrometryHumansPhenolsPhytochemicalsEnzyme InhibitorsFlavonoidsPhenolsPhytochemicalsPlant ExtractsEnzyme inhibitionGC-MSHPLCPhytochemicalsP. stewartii

Identifiers

PMID40814029
PMCPMC12351769

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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.