Evidence map›Paper›PMID 40598198›Full record

ArticleBMC biotechnology2025

Purification, characterization, and anti-cancer activity of methionine gamma-lyase from a native strain of Pseudomonas mosselii for human cancer treatment.

Matin Nasirian, Mohsen Mobini-Dehkordi, Pegah Khosravian

Erratum issuedAbstract read
In one paragraph

Article in BMC biotechnology, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. An erratum has been issued. 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

5 · Who and what money

Authors and funding

3 authors.

Matin NasirianGenetics Department, Faculty of Basic Science, Shahrekord University, Shahrekord, Iran.
Mohsen Mobini-DehkordiGenetics Department, Faculty of Basic Science, Shahrekord University, Shahrekord, Iran. mobini-m@sku.ac.ir.
Pegah KhosravianMedical Plants Research Center, Basic Health Sciences Institute, Shahrekord University of Medical Sciences, Shahrekord, Iran.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

aimsMethionine gamma-lyase (MGL) specifically targets L-methionine-dependent cancer cells, making it a promising candidate for anti-cancer drug development. This study aims to purify and characterize L-methioninase from Pseudomonas mosselii and evaluate its potential anti-cancer properties. METHODS AND

resultsMGL was purified through heat treatment, ion exchange chromatography, and gel filtration, achieving a 6-fold purification and a 58.43% recovery rate. The enzyme displayed an activity of 61.16 U/mg and had a molecular weight of 48 kDa. Optimal activity was observed at a pH of 6 and temperatures ranging from 30 to 37℃. Kinetic studies revealed a Km value of 8.458 mM and a Vmax of 0.2702 U/mL/min for L-methionine. The anti-cancer effects of MGL were tested on MCF-7, MOLT-4, HepG-2, and U87MG cell lines. MTT assays demonstrated significant anti-cancer activity, inducing apoptosis in cancer cells while sparing normal fibroblasts. Real-time PCR results demonstrated decreased expression of BCL-2 and increased expression of caspase-3. This further confirms that apoptosis is enhanced by the use of gamma-lyase enzyme and methionine restriction in cancer cells.

conclusionsMGL shows promise as a targeted treatment for L-methionine-dependent cancers by selectively inducing apoptosis in cancer cells. Its specific action and effective purification establish MGL as a potential therapeutic candidate.

Indexed as

Antineoplastic AgentsBacterial ProteinsCarbon-Sulfur LyasesNeoplasmsPseudomonasApoptosisCell Line, TumorHumansKineticsMethionineAntineoplastic AgentsBacterial ProteinsCarbon-Sulfur LyasesL-methionine gamma-lyaseMethionineBCL-2Cancer treatmentCaspase 3Cytotoxic effectEnzyme therapyExpression apoptotic genesMethionine gamma-lyase

Identifiers

PMID40598198
PMCPMC12220622

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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.