Evidence map›Paper›PMID 35559267›Full record

ArticleFrontiers in pharmacology2022

Tanhuo Formula Inhibits Astrocyte Activation and Apoptosis in Acute Ischemic Stroke.

Yuting Nie, Lulu Wen, Hui Li, Juexian Song, Ningqun Wang, Liyuan Huang, Li Gao, Miao Qu

Open access · goldAbstract read
In one paragraph

Article in Frontiers in pharmacology, 2022. 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
1.9field-weighted citation impact, top 15% 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

4 citing papers in PubMed, 6 citations in OpenAlex.

  1. Review
  2. Article
  3. Article
  4. 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

8 authors at 2 institutions in 1 country.

Yuting NieDepartment of Neurology, Xuanwu Hospital, Capital Medical University, Beijing, China.
Lulu WenDepartment of Neurology, Xuanwu Hospital, Capital Medical University, Beijing, China.
Hui LiInstitute of Chinese Materia Medica, China Academy of Chinese Medical Sciences, Beijing, China.
Juexian SongDepartment of Neurology, Xuanwu Hospital, Capital Medical University, Beijing, China.
Ningqun WangDepartment of Neurology, Xuanwu Hospital, Capital Medical University, Beijing, China.
Liyuan HuangDepartment of Neurology, Xuanwu Hospital, Capital Medical University, Beijing, China.
Li GaoDepartment of Neurology, Xuanwu Hospital, Capital Medical University, Beijing, China.
Miao QuDepartment of Neurology, Xuanwu Hospital, Capital Medical University, Beijing, China.
Capital Medical University · CNChinese Academy of Medical Sciences & Peking Union Medical College · CN

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Tanhuo formula (THF), a traditional Chinese medicinal formula, has been demonstrated to be effective in the clinical treatment of acute ischemic stroke (AIS). However, its active ingredients, potential targets, and molecular mechanisms remain unknown. Based on the validation of active ingredient concentrations, our study attempted to elucidate the possible mechanisms of THF based on network pharmacological analysis and experimental validation. Components of THF were screened using network pharmacological analysis, and a compound-target network and protein-protein interaction (PPI) network were constructed. In total, 42 bioactive compounds and 159 THF targets related to AIS were identified. The PPI network identified AKT1, TNF, IL6, IL1B, and CASP3 as key targets. Kyoto Encyclopedia of Genes and Genomes pathway enrichment analysis demonstrated that the inflammation and apoptotic pathways were enriched by multiple targets. The main components of THF were identified

Indexed as

apoptosisastrocyteinflammationnetwork pharmacologyTanhuo formula (THF)

Identifiers

PMID35559267
PMCPMC9087855
OpenAlexW4224582671

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.