Evidence map›Paper›PMID 39993962›Full record

ArticleJournal of cellular and molecular medicine2025

Mechanism of Formononetin in Improving Energy Metabolism and Alleviating Neuronal Injury in CIRI Based on Nontargeted Metabolomics Research.

Jianwen Zhao, Yanwei Zhang, Shuquan Lv, Feng Wang, Ting Shan, Jian Wang, Zeng Liu, Limin Zhang, Huantian Cui, Junbiao Tian

Abstract read
In one paragraph

Article in Journal of cellular and molecular medicine, 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

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

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

10 authors.

Jianwen ZhaoHebei Province Cangzhou Hospital of Integrated Traditional and Western Medicine, Cangzhou, China.
Yanwei ZhangHebei Province Cangzhou Hospital of Integrated Traditional and Western Medicine, Cangzhou, China.
Shuquan LvHebei Province Cangzhou Hospital of Integrated Traditional and Western Medicine, Cangzhou, China.
Feng WangHebei Province Cangzhou Hospital of Integrated Traditional and Western Medicine, Cangzhou, China.
Ting ShanHebei Province Cangzhou Hospital of Integrated Traditional and Western Medicine, Cangzhou, China.
Jian WangHebei Province Cangzhou Hospital of Integrated Traditional and Western Medicine, Cangzhou, China.
Zeng LiuHebei Province Cangzhou Hospital of Integrated Traditional and Western Medicine, Cangzhou, China.
Limin ZhangHebei Province Cangzhou Hospital of Integrated Traditional and Western Medicine, Cangzhou, China.
Huantian CuiFirst School of Clinical Medicine, Yunnan University of Chinese Medicine, Kunming, China.ORCID 0000-0002-0820-5436
Junbiao TianHebei Provincial Hospital of Chinese Medicine, Shijiazhuang, China.

Funding

Hebei Provincial Science and Technology (Key Research and Development) Plan Project 20377710DResearch Plan Project of Hebei Provincial Administration of Traditional Chinese Medicine 2020516This work was supported by the Three-Three-Three Talent Project of Hebei Province C20221125
6 · The paper itself

Abstract

Cerebral ischaemia-reperfusion injury (CIRI), resulting from thrombolytic therapy for ischaemic stroke, presents a considerable challenge during postoperative recovery. Formononetin (FMN) has shown promise in the prevention and treatment of neurological diseases. However, its specific mechanism in ameliorating CIRI remains uncertain. Initially, we established a CIRI rat model to evaluate FMN's therapeutic potential by assessing neurological function, infarct area and pathological changes. Subsequently, we employed metabolomics technology to investigate FMN's impact on metabolite levels in the ischaemic brain tissue of CIRI rats. Based on the metabolomics findings, we validated FMN's effects on nicotinate and nicotinamide metabolism, as well as alanine, aspartate and glutamate metabolism, along with its influence on neuronal injury and repair. Our investigation unveiled that FMN intervention significantly diminished the Longa score and asymmetry score in CIRI rats, constricted the infarct area and ameliorated pathological alterations in the ischaemic brain tissue, including reduced DCI index and augmented Nissl body count. Metabolomics analysis indicated that FMN exerted regulatory effects on nicotinate and nicotinamide metabolism, as well as alanine, aspartate and glutamate metabolism. Following FMN intervention, there was a notable increase in the levels of related metabolites such as nicotinamide (NAM), L-aspartic acid (L-Asp), fumaric acid (FA), gamma-aminobutyric acid (GABA) and L-glutamic acid (L-Glu). RT-qPCR and Western blot outcomes demonstrated that FMN upregulated the gene and protein expression of key enzymes adenylosuccinate lyase (ADSL) and glutamic acid decarboxylase (GAD) involved in alanine, aspartate and glutamate metabolism. Moreover, FMN intervention bolstered SOD activity, diminished MDA and ROS levels and reduced TUNEL-positive expression. Furthermore, FMN intervention elevated ATP levels and markedly increased Ki67-positive expression. FMN exhibits the potential to alleviate oxidative stress injury in CIRI rats by enhancing nicotinate and nicotinamide metabolism along with alanine, aspartate and glutamate metabolism, consequently reinstating energy metabolism and conferring neuroprotective effects to ameliorate CIRI.

Indexed as

Brain IschemiaEnergy MetabolismIsoflavonesMetabolomicsNeuronsReperfusion InjuryAnimalsDisease Models, AnimalMaleNeuroprotective AgentsRatsRats, Sprague-DawleyformononetinIsoflavonesNeuroprotective Agentsalanineaspartate and glutamate metabolismcerebral ischaemia–reperfusion injuryenergy metabolismformononetinnicotinate and nicotinamide metabolismoxidative stressuntargeted metabolomics

Identifiers

PMID39993962
PMCPMC11850093

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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.