Evidence map›Paper›PMID 41125761›Full record

ArticleScientific reports2025

Network pharmacological prediction of chemical constituents and endophyte metabolites of medicinal plant Shengli grass.

Longfei Zhao, Xuezhen Huang, Yajun Xu, Li Xi, Weiyi Song, Xiaolong Xing, Mengjie Liu, Min Li, Yiting Hou

Abstract read
In one paragraph

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 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. Review
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.

Longfei ZhaoKey Laboratory on Agricultural Microorganism Resources Development of Shangqiu, Engineering Research Center of Development and Application of Characteristic Microbial Resources in Henan, College of Biology and Food, Shangqiu Normal University, Shangqiu, 476000, China. hnzhaolongfei@163.com.
Xuezhen HuangKey Laboratory on Agricultural Microorganism Resources Development of Shangqiu, Engineering Research Center of Development and Application of Characteristic Microbial Resources in Henan, College of Biology and Food, Shangqiu Normal University, Shangqiu, 476000, China.
Yajun XuKey Laboratory on Agricultural Microorganism Resources Development of Shangqiu, Engineering Research Center of Development and Application of Characteristic Microbial Resources in Henan, College of Biology and Food, Shangqiu Normal University, Shangqiu, 476000, China.
Li XiKey Laboratory on Agricultural Microorganism Resources Development of Shangqiu, Engineering Research Center of Development and Application of Characteristic Microbial Resources in Henan, College of Biology and Food, Shangqiu Normal University, Shangqiu, 476000, China.
Weiyi SongKey Laboratory on Agricultural Microorganism Resources Development of Shangqiu, Engineering Research Center of Development and Application of Characteristic Microbial Resources in Henan, College of Biology and Food, Shangqiu Normal University, Shangqiu, 476000, China.
Xiaolong XingKey Laboratory on Agricultural Microorganism Resources Development of Shangqiu, Engineering Research Center of Development and Application of Characteristic Microbial Resources in Henan, College of Biology and Food, Shangqiu Normal University, Shangqiu, 476000, China.
Mengjie LiuKey Laboratory on Agricultural Microorganism Resources Development of Shangqiu, Engineering Research Center of Development and Application of Characteristic Microbial Resources in Henan, College of Biology and Food, Shangqiu Normal University, Shangqiu, 476000, China.
Min LiKey Laboratory on Agricultural Microorganism Resources Development of Shangqiu, Engineering Research Center of Development and Application of Characteristic Microbial Resources in Henan, College of Biology and Food, Shangqiu Normal University, Shangqiu, 476000, China.
Yiting HouJiangsu Provincial Key Lab for Organic Solid Waste Utilization, Nanjing Agricultural University, Nanjing, 210095, China.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Shengli grass has attracted growing attention in the fields of functional foods and medicines due to its widely reported healing effects, yet its chemical components and the potential mechanisms underlying its health benefits to humans remain insufficiently elucidated. This study employed headspace solid-phase microextraction coupled with gas chromatography-mass spectrometry (HS-SPME-GC-MS) to determine the volatile components (VOCs), extract components of Shengli Grass, and secondary metabolites of 11 endophytes isolated from it. Active components were screened, their biological targets identified via combined targeted fishing, and network-based analysis was conducted among active components, targets, enrichment pathways, and diseases to explore the potential molecular mechanisms of Shengli Grass in anti-inflammatory and antibacterial activities.​A total of 100 VOCs, 51 extract components, and 24 endophyte secondary metabolites were identified. Olefins (e.g., selina-3,7(11)-diene, m-cymene) were the most abundant in Shengli Grass, followed by esters (e.g., linalyl propionate); endophyte secondary metabolites also had high ester content, with 29% of components overlapping with those of Shengli Grass. After screening via the TCMSP database, 110 chemical components (81 VOCs, 29 extract components) and 20 secondary metabolites were selected for network pharmacology, corresponding to 418 and 223 targets, respectively.​Geranyl isobutyrate, neryl acetate, and neryl formate were proposed as the main anti-bacterial and anti-inflammatory components. GO function and KEGG pathway enrichment analyses of common targets revealed that Shengli Grass might exert its effects via pathways such as cancer, endocrine resistance, lipid and atherosclerosis, phosphorylation, xenobiotic stimulus response, calcium signaling, and protein phosphorylation; key targets included ALB, AKT1, EGFR, SRC, ESR1, and NFKB1.​In conclusion, Shengli Grass exerts anti-inflammatory and antibacterial effects through multi-component, multi-target, and multi-pathway involvement in biological processes, providing a theoretical basis for its development and utilization.

Indexed as

EndophytesPlant ExtractsPlants, MedicinalPoaceaeAnti-Inflammatory AgentsGas Chromatography-Mass SpectrometryHumansNetwork PharmacologySolid Phase MicroextractionVolatile Organic CompoundsAnti-Inflammatory AgentsPlant ExtractsVolatile Organic CompoundsAntibacterialEndophyteHS-SPME-GC-MSInflammationNetwork pharmacologyShengli grassVOCs

Identifiers

PMID41125761
PMCPMC12546830

What OpenQuestion holds

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LicenceCC BY-NC-ND
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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.