Evidence map›Paper›PMID 40539351›Full record

ArticleCombinatorial chemistry & high throughput screening2026

Studies Combining Network Pharmacology with

Jiucheng Wang, Yongping Chen, Honggang Fan, Cunshuai Gao, Guofeng Feng, Yuan Zhao, Shuai Zhang, Qiuyue An, Xuanpan Ding, Shuang Wang and 3 more

Abstract read
PubMed Publisher
In one paragraph

Article in Combinatorial chemistry & high throughput screening, 2026. 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. Current issues in molecular biology · 2025
    Article
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

13 authors.

Jiucheng WangKey Laboratory of Pathogenesis and Comparative Medicine of Animal Diseases in Heilongjiang Province, College of Veterinary Medicine, Northeast Agricultural University, Harbin, 150030, China.
Yongping ChenCollege of Veterinary Medicine, Qingdao Agricultural University, Qingdao, 266109, China.
Honggang FanKey Laboratory of Pathogenesis and Comparative Medicine of Animal Diseases in Heilongjiang Province, College of Veterinary Medicine, Northeast Agricultural University, Harbin, 150030, China.
Cunshuai GaoKey Laboratory of Pathogenesis and Comparative Medicine of Animal Diseases in Heilongjiang Province, College of Veterinary Medicine, Northeast Agricultural University, Harbin, 150030, China.
Guofeng FengKey Laboratory of Pathogenesis and Comparative Medicine of Animal Diseases in Heilongjiang Province, College of Veterinary Medicine, Northeast Agricultural University, Harbin, 150030, China.
Yuan ZhaoKey Laboratory of Pathogenesis and Comparative Medicine of Animal Diseases in Heilongjiang Province, College of Veterinary Medicine, Northeast Agricultural University, Harbin, 150030, China.
Shuai ZhangKey Laboratory of Pathogenesis and Comparative Medicine of Animal Diseases in Heilongjiang Province, College of Veterinary Medicine, Northeast Agricultural University, Harbin, 150030, China.
Qiuyue AnKey Laboratory of Pathogenesis and Comparative Medicine of Animal Diseases in Heilongjiang Province, College of Veterinary Medicine, Northeast Agricultural University, Harbin, 150030, China.
Xuanpan DingKey Laboratory of Pathogenesis and Comparative Medicine of Animal Diseases in Heilongjiang Province, College of Veterinary Medicine, Northeast Agricultural University, Harbin, 150030, China.
Shuang WangHeilongjiang Academy of Agricultural Sciences Branch of Animal Husbandry and Veterinary Branch, Qiqihar, 161005, China.
Guohua ZhangHeilongjiang Academy of Agricultural Sciences Branch of Animal Husbandry and Veterinary Branch, Qiqihar, 161005, China.
MengMeng LiuQingdao Smart Village Development Service Center, Qingdao, 266000, China.
Haotian YangKey Laboratory of Pathogenesis and Comparative Medicine of Animal Diseases in Heilongjiang Province, College of Veterinary Medicine, Northeast Agricultural University, Harbin, 150030, China.

Funding

Chinese Agriculture Research System CARS-42-34National Natural Science Foundation of China 32373085, 32273078
6 · The paper itself

Abstract

introductionThe objective of this investigation was to examine the mechanism through which Radix isatidis operates, utilizing network pharmacology and molecular docking techniques.

methodsA Protein-Protein Interaction (PPI) network connecting the targets of the active ingredients with those related to febrile diseases was constructed through STRING. The analysis of the core nodes was conducted using the Cytoscape software, followed by further exploring the PPI network using the DAVID database. Lastly, the underlying mechanism of the antipyretic action was also examined utilizing the DAVID database. Mice were injected intraperitoneally with lipopolysaccharides (LPS) and treated by continuous gavage with Radix isatidis. The mice were then evaluated using temperature monitoring, blood tests, organ index calculations, PI3K-AKT pathway protein assays, and reverse transcription polymerase chain reaction (RT-PCR) assays for inflammatory factors.

resultsTwelve active components of Radix isatidis were screened, and 107 genes were identified at the intersection of Radix isatidis and fever. These genes were found to be involved in the PI3K-AKT signaling pathway, proteoglycans in cancer, and mechanisms related to blood lipids and atherosclerosis. The top nine targets identified by constructing a PPI network were IL6, AKT1, EGFR, STAT3, CASP3, ESR1, PTGS2, PPARG, and MAPK3, indicating that Radix isatidis may play a protective role by affecting the PI3K/AKT-related signaling pathway. DISCUSSION: In the in vitro experimental validation, a fever model was established using LPS, while Radix isatidis was used for treatment, and the PI3K/AKT/NF-κB pathway was validated by temperature monitoring, observation of pathological tissue sections, western blotting, immunohistochemistry, RT-PCR, and other technical means. In vivo experiments were conducted to verify the method in multiple mediums, and both the genetic changes and related pathway proteins are consistent with the KEGG prediction.

conclusionThe PI3K/AKT pathway was identified through PPI network analysis, key target identification, and KEGG pathway enrichment. Subsequent in vivo studies in mice confirmed that Radix isatidis could alleviate inflammation and body fever caused by LPS by affecting the PI3K/AKT pathway.

Indexed as

AntipyreticsDrugs, Chinese HerbalFeverNetwork PharmacologyAnimalsLipopolysaccharidesMaleMiceMolecular Docking SimulationPhosphatidylinositol 3-KinasesProtein Interaction MapsSignal TransductionAntipyreticsDrugs, Chinese HerbalLipopolysaccharidesPhosphatidylinositol 3-Kinasescyberpharmacologyfevermolecular dockingnetwork pharmacologyPI3K-AKTRadix isatidis

Identifiers

PMID40539351

What Socratic holds

Textmetadata
Read underepoch 390

Registered trials

None linked

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 Socratic graph.