Evidence map›Paper›PMID 27659301›Full record

ReviewBritish journal of pharmacology2017

Anti-ageing active ingredients from herbs and nutraceuticals used in traditional Chinese medicine: pharmacological mechanisms and implications for drug discovery.

Chun-Yan Shen, Jian-Guo Jiang, Li Yang, Da-Wei Wang, Wei Zhu

Registry-linked trialOpen access · bronzeAbstract readReview
In one paragraph

Review in British journal of pharmacology, 2017. The graph could read no effect estimate from its abstract, so it casts no vote on the map. It is linked to trial NCT04249869 (The Effect of Traditional Chinese Medicine), which is not on this map. Cited by 134 papers, 3 of them syntheses that pooled it.

0numbers the graph read from it
0cells of the map it votes in
134citing papers in PubMed, 3 pooled it
12.6field-weighted citation impact, top 1% 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.

NCT04249869 phase1 / phase2unknown statusnot on this mapstarted 2020, after this paper: background citation

The Effect of Traditional Chinese Medicine (VGH-AD1) on Patients With Alzheimer's Disease: A Double-blinded Randomized Placebo-controlled Cross-over Study

TypeinterventionalSponsorTaipei Veterans General Hospital, TaiwanRan2020 to 2020Enrolled28ConditionsAlzheimer DiseaseArmsVGH-AD1
3 · Its place in the literature

Who cites it

134 citing papers in PubMed, 3 syntheses or guidelines pooled it, 327 citations in OpenAlex.

  1. Pooled it
  2. Pooled it
  3. Pooled it
  4. Article
  5. Article
  6. Review
  7. Review
  8. Review
  9. Article
  10. Food science & nutrition · 2026
    Article
  11. Article
  12. Article
  13. Review
  14. Danggui Buxue Decoction Attenuates HClinical, cosmetic and investigational dermatology · 2026
    Article
  15. Review
  16. Review
  17. Article
  18. Article
  19. Article
  20. Article

74 more citing papers are in PubMed but not listed here.

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

5 authors at 2 institutions in 1 country.

Chun-Yan ShenCollege of Food and Bioengineering, South China University of Technology, Guangzhou, China.
Jian-Guo JiangCollege of Food and Bioengineering, South China University of Technology, Guangzhou, China.
Li YangCollege of Food and Bioengineering, South China University of Technology, Guangzhou, China.
Da-Wei WangThe second Affiliated Hospital, Guangzhou University of Chinese Medicine, Guangzhou, China.
Wei ZhuThe second Affiliated Hospital, Guangzhou University of Chinese Medicine, Guangzhou, China.
South China University of Technology · CNGuangzhou Medical University · CN

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Ageing, an unanswered question in the medical field, is a multifactorial process that results in a progressive functional decline in cells, tissues and organisms. Although it is impossible to prevent ageing, slowing down the rate of ageing is entirely possible to achieve. Traditional Chinese medicine (TCM) is characterized by the nourishing of life and its role in anti-ageing is getting more and more attention. This article summarizes the work done on the natural products from TCM that are reported to have anti-ageing effects, in the past two decades. The effective anti-ageing ingredients identified can be generally divided into flavonoids, saponins, polysaccharides, alkaloids and others. Astragaloside, Cistanche tubulosa acteoside, icariin, tetrahydrocurcumin, quercetin, butein, berberine, catechin, curcumin, epigallocatechin gallate, gastrodin, 6-Gingerol, glaucarubinone, ginsenoside Rg1, luteolin, icarisid II, naringenin, resveratrol, theaflavin, carnosic acid, catalpol, chrysophanol, cycloastragenol, emodin, galangin, echinacoside, ferulic acid, huperzine, honokiol, isoliensinine, phycocyanin, proanthocyanidins, rosmarinic acid, oxymatrine, piceid, puerarin and salvianolic acid B are specified in this review. Simultaneously, chemical structures of the monomers with anti-ageing activities are listed, and their source, model, efficacy and mechanism are also described. The TCMs with anti-ageing function are classified according to their action pathways, including the telomere and telomerase, the sirtuins, the mammalian target of rapamycin, AMP-activated kinase and insulin/insulin-like growth factor-1 signalling pathway, free radicals scavenging and the resistance to DNA damage. Finally, Chinese compound prescription and extracts related to anti-ageing are introduced, which provides the basis and the direction for the further development of novel and potential drugs. LINKED ARTICLES: This article is part of a themed section on Principles of Pharmacological Research of Nutraceuticals. To view the other articles in this section visit http://onlinelibrary.wiley.com/doi/10.1111/bph.v174.11/issuetoc.

Indexed as

AgingDietary SupplementsAnimalsDrug DiscoveryDrugs, Chinese HerbalHumansMedicine, Chinese TraditionalPhytotherapyPlant ExtractsPlants, MedicinalDrugs, Chinese HerbalPlant Extracts

Identifiers

PMID27659301
PMCPMC5429334
OpenAlexW2542151543

What OpenQuestion holds

Textmetadata
Read underepoch 390

Registered trials

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.