Evidence map›Paper›PMID 33727915›Full record

ArticleNeural plasticity2021

Synergistic Network Pharmacology for Traditional Chinese Medicine Liangxue Tongyu Formula in Acute Intracerebral Hemorrhagic Stroke.

Yang Chen, Ju Dong, Dongqing Yang, Qin Qian, Pengcheng Wang, Xiaojuan Yang, Wei Li, Guochun Li, Xu Shen, Fushun Wang

Open access · goldAbstract read
In one paragraph

Article in Neural plasticity, 2021. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 9 papers.

0numbers the graph read from it
0cells of the map it votes in
9citing papers in PubMed
1.0field-weighted citation impact, top 22% of its field
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

9 citing papers in PubMed, 16 citations in OpenAlex.

  1. Review
  2. Article
  3. Article
  4. Review
  5. Article
  6. Article
  7. Article
  8. Article
  9. 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

10 authors at 2 institutions in 1 country.

Yang ChenDepartment of Public Health of Nanjing University of Chinese Medicine, 210023 Nanjing, Jiangsu Province, China.
Ju DongDepartment of Public Health of Nanjing University of Chinese Medicine, 210023 Nanjing, Jiangsu Province, China.
Dongqing YangDepartment of Public Health of Nanjing University of Chinese Medicine, 210023 Nanjing, Jiangsu Province, China.
Qin QianDepartment of Public Health of Nanjing University of Chinese Medicine, 210023 Nanjing, Jiangsu Province, China.
Pengcheng WangDepartment of Public Health of Nanjing University of Chinese Medicine, 210023 Nanjing, Jiangsu Province, China.
Xiaojuan YangDepartment of Public Health of Nanjing University of Chinese Medicine, 210023 Nanjing, Jiangsu Province, China.
Wei LiDepartment of Public Health of Nanjing University of Chinese Medicine, 210023 Nanjing, Jiangsu Province, China.
Guochun LiDepartment of Public Health of Nanjing University of Chinese Medicine, 210023 Nanjing, Jiangsu Province, China.ORCID 0000-0002-1680-130X
Xu ShenState Key Laboratory Cultivation Base for TCM Quality and Efficacy, Nanjing University of Chinese Medicine, 210023 Nanjing, Jiangsu Province, China.ORCID 0000-0002-8683-3446
Fushun WangInstitute of Brain and Psychology, Sichuan Normal University, 610060 Chengdu, Sichuan Province, China.ORCID 0000-0002-2010-6254
Nanjing University of Chinese Medicine · CNSichuan Normal University · CN

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Background: Nowadays, acute intracerebral hemorrhage stroke (AICH) still causes higher mortality. Liangxue Tongyu Formula (LXTYF), originating from a traditional Chinese medicine (TCM) prescription, is widely used as auxiliary treatment for AICH. Objective: To dig into the multicomponent, multitarget, and multipathway mechanism of LXTYF on treating AICH via network pharmacology and RNA-seq. Methods: Network pharmacology analysis was used by ingredient collection, target exploration and prediction, network construction, and Gene Ontology (GO) and KEGG analysis, with the Cytoscape software and ClusterProfiler package in R. The RNA-seq data of the AICH-rats were analyzed for differential expression and functional enrichments. Herb-Compound-Target-Pathway (H-C-T-P) network was shown to clarify the mechanism of LXTYF for AICH. Results: 76 active ingredients (quercetin, Alanine, kaempferol, etc.) of LXTYF and 376 putative targets to alleviate AICH (PTGS2, PTGS1, ESR1, etc.) were successfully identified. The protein-protein interaction (PPI) network indicated the important role of STAT3. The functional enrichment of GO and KEGG pathway showed that LXTYF is most likely to influence MAPK and PI3K-Akt signaling pathways for AICH treatment. From the RNA-seq of AICH-rats, 583 differential mRNAs were identified and 14 of them were consistent with the putative targets of LXTYF for AICH treatment. The KEGG pathway enrichment also implied that the MAPK signaling pathway was the most correlated one among all the related signaling pathways. Many important targets with expression changes of LXTYF for AICH treatment and their related pathways are great markers of antioxidation, anti-inflammatory, antiapoptosis, and lowering blood pressure, which indicated that LXTYF may play mutiroles in the mechanisms for AICH treatment. Conclusion: The LXTYF attenuates AICH partially by antioxidation, anti-inflammatory, and antiapoptosis and lowers blood pressure roles through regulating the targets involved MAPK, calcium, apoptosis, and TNF signaling pathway, which provide notable clues for further experimental validation.

Indexed as

Medicine, Chinese TraditionalAnimalsAnti-Inflammatory AgentsAntioxidantsDrugs, Chinese HerbalHemorrhagic StrokePhosphatidylinositol 3-KinasesRatsSignal TransductionAnti-Inflammatory AgentsAntioxidantsDrugs, Chinese HerbalPhosphatidylinositol 3-Kinases

Identifiers

PMID33727915
PMCPMC7936909
OpenAlexW3134062312

What Socratic holds

Textmetadata
LicenceCC BY
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.