Evidence map›Paper›PMID 32908629›Full record

ArticleOxidative medicine and cellular longevity2020

Network Pharmacology to Uncover the Biological Basis of Spleen Qi Deficiency Syndrome and Herbal Treatment.

Xin Wang, Min Wu, Xinxing Lai, Jiahui Zheng, Minghua Hu, Yan Li, Shao Li

Open access · hybridAbstract read
In one paragraph

Article in Oxidative medicine and cellular longevity, 2020. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 16 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
16citing papers in PubMed, 1 pooled it
4.6field-weighted citation impact, top 5% 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

16 citing papers in PubMed, 1 synthesis or guideline pooled it, 34 citations in OpenAlex.

  1. Pooled it
  2. Article
  3. Review
  4. Review
  5. Article
  6. Review
  7. Article
  8. Article
  9. Article
  10. Article
  11. Article
  12. Article
  13. Article
  14. Article
  15. Review
  16. 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

7 authors at 3 institutions in 1 country.

Xin WangMOE Key Laboratory of Bioinformatics, Bioinformatics Division and Center for TCM-X, BNRIST / Department of Automation, Tsinghua University, Beijing 100084, China.
Min WuMOE Key Laboratory of Bioinformatics, Bioinformatics Division and Center for TCM-X, BNRIST / Department of Automation, Tsinghua University, Beijing 100084, China.
Xinxing LaiMOE Key Laboratory of Bioinformatics, Bioinformatics Division and Center for TCM-X, BNRIST / Department of Automation, Tsinghua University, Beijing 100084, China.ORCID https://orcid.org/0000-0003-1916-3953
Jiahui ZhengMOE Key Laboratory of Bioinformatics, Bioinformatics Division and Center for TCM-X, BNRIST / Department of Automation, Tsinghua University, Beijing 100084, China.
Minghua HuInfinitus (China) Company Ltd., LKK Health Products Group, 510623, China.
Yan LiState Key Laboratory of Bioactive Substances and Functions of Nature Medicines, Institute of Materia Medica, Chinese Academy of Medical Sciences & Peking Union Medical College, 100050 Beijing, China.
Shao LiMOE Key Laboratory of Bioinformatics, Bioinformatics Division and Center for TCM-X, BNRIST / Department of Automation, Tsinghua University, Beijing 100084, China.ORCID https://orcid.org/0000-0002-8709-9167
Tsinghua University · CNChinese Academy of Medical Sciences & Peking Union Medical College · CNInfinitus (China) · CN

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Spleen qi deficiency (SQD) syndrome is one of the basic traditional Chinese medicine (TCM) syndromes related to various diseases including chronic inflammation and hypertension and guides the use of many herbal formulae. However, the biological basis of SQD syndrome has not been clearly elucidated due to the lack of appropriate methodologies. Here, we propose a network pharmacology strategy integrating computational, clinical, and experimental investigation to study the biological basis of SQD syndrome. From computational aspects, we used a powerful disease gene prediction algorithm to predict the SQD syndrome biomolecular network which is significantly enriched in biological functions including immune regulation, oxidative stress, and lipid metabolism. From clinical aspects, SQD syndrome is involved in both the local and holistic disorders, that is, the digestive diseases and the whole body's dysfunctions. We, respectively, investigate SQD syndrome-related digestive diseases including chronic gastritis and irritable bowel syndrome and the whole body's dysfunctions such as chronic fatigue syndrome and hypertension. We found innate immune and oxidative stress modules of SQD syndrome biomolecular network dysfunction in chronic gastritis patients and irritable bowel syndrome patients. Lymphocyte modules were downregulated in chronic fatigue syndrome patients and hypertension patients. From experimental aspects, network pharmacology analysis suggested that targets of

Indexed as

QiAnimalsChronic DiseaseDrugs, Chinese HerbalFatigue Syndrome, ChronicGastritisGene Expression RegulationHypertensionIrritable Bowel SyndromeLymphocytesMicePhenotypeProtein Interaction MapsRAW 264.7 CellsReproducibility of ResultsSignal TransductionDrugs, Chinese Herbal

Identifiers

PMID32908629
PMCPMC7474375
OpenAlexW3081413454

What OpenQuestion 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 OpenQuestion graph.