Evidence map›Paper›PMID 31772561›Full record

ArticleFrontiers in pharmacology2019

Intermodule Coupling Analysis of Huang-Lian-Jie-Du Decoction on Stroke.

Pengqian Wang, Li Dai, Weiwei Zhou, Jing Meng, Miao Zhang, Yin Wu, Hairu Huo, Xingjiang Xiong, Feng Sui

Abstract read
In one paragraph

Article in Frontiers in pharmacology, 2019. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 12 papers.

0numbers the graph read from it
0cells of the map it votes in
12citing 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

12 citing papers in PubMed.

  1. Article
  2. Article
  3. Review
  4. Article
  5. Review
  6. Article
  7. Article
  8. Article
  9. Review
  10. Efficacy and Safety ofFrontiers in pharmacology · 2020
    Review
  11. Article
  12. Investigation of the Potential Mechanism Governing the Effect of theEvidence-based complementary and alternative medicine : eCAM · 2020
    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

9 authors.

Pengqian WangInstitute of Chinese Materia Medica, China Academy of Chinese Medical Sciences, Beijing, China.
Li DaiInstitute of Chinese Materia Medica, China Academy of Chinese Medical Sciences, Beijing, China.
Weiwei ZhouInstitute of Chinese Materia Medica, China Academy of Chinese Medical Sciences, Beijing, China.
Jing MengInstitute of Chinese Materia Medica, China Academy of Chinese Medical Sciences, Beijing, China.
Miao ZhangInstitute of Chinese Materia Medica, China Academy of Chinese Medical Sciences, Beijing, China.
Yin WuInstitute of Chinese Materia Medica, China Academy of Chinese Medical Sciences, Beijing, China.
Hairu HuoInstitute of Chinese Materia Medica, China Academy of Chinese Medical Sciences, Beijing, China.
Xingjiang XiongGuang'anmen Hospital, China Academy of Chinese Medical Sciences, Beijing, China.
Feng SuiInstitute of Chinese Materia Medica, China Academy of Chinese Medical Sciences, Beijing, China.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Huang-Lian-Jie-Du Decoction (HLJDD) is a "Fangji" made up of well-designed Chinese herb array and widely used to treat ischemic stroke. Here we aimed to investigate pharmacological mechanism by introducing an inter-module analysis to identify an overarching view of target profile and action mode of HLJDD. Stroke-related genes were obtained from OMIM (Online Mendelian Inheritance in Man). And the potential target proteins of HLJDD were identified according to TCMsp (Traditional Chinese Medicine Systems Pharmacology Database and Analysis Platform). The two sets of molecules related to stroke and HLJDD were respectively imported into STRING database to construct the stroke network and HLJDD network, which were dissected into modules through MCODE, respectively. We analyzed the inter-module connectivity by quantify "coupling score" (CS) between HLJDD-modules (H-modules) and stroke-modules (S-module) to explore the pharmacological acting pattern of HLJDD on stroke. A total of 267 stroke-related proteins and 15 S-modules, 335 HLJDD putative targeting proteins, and 13 H-modules were identified, respectively. HLJDD directly targeted 28 proteins in stroke network, majority (16, 57.14%) of which were in S-modules 1 and 4. According to the modular map based on inter-module CS analysis, H-modules 1, 2, and 8 densely connected with S-modules 1, 3, and 4 to constitute a module-to-module bridgeness, and the enriched pathways of this bridgeness with top significance were TNF signaling pathway, HIF signaling pathway, and PI3K-Akt signaling pathway. Furthermore, through this bridgeness, H-modules 2 and 4 cooperatively work together to regulate mitochondrial apoptosis against the ischemia injury. Finally, the core protein in H-module 4 account for mitochondrial apoptosis was validated by an

Indexed as

Huang-Lian-Jie-Du decoctioninter-module analysisnetwork pharmacologypharmacological mechanismstroke

Identifiers

PMID31772561
PMCPMC6848980

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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.