Evidence map›Paper›PMID 23209627›Full record

ArticlePloS one2012

What does it take to synergistically combine sub-potent natural products into drug-level potent combinations?

Chu Qin, Kai Leng Tan, Cun Long Zhang, Chun Yan Tan, Yu Zong Chen, Yu Yang Jiang

Open access · goldAbstract read
In one paragraph

Article in PloS one, 2012. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 11 papers.

0numbers the graph read from it
0cells of the map it votes in
11citing papers in PubMed
2.8field-weighted citation impact, top 9% 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

11 citing papers in PubMed, 18 citations in OpenAlex.

  1. Article
  2. Article
  3. Article
  4. Article
  5. Article
  6. Pentacyclic Triterpenes fromMolecules (Basel, Switzerland) · 2018
    Article
  7. Article
  8. Review
  9. Article
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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

6 authors at 3 institutions in 2 countries.

Chu QinDepartment of Pharmacology and Pharmaceutical Sciences, School of Medicine, Tsinghua University, Beijing, PR China.
Kai Leng Tan
Cun Long Zhang
Chun Yan Tan
Yu Zong Chen
Yu Yang Jiang
Tsinghua University · CNNational University of Singapore · SGDuke-NUS Medical School · SG

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

There have been renewed interests in natural products as drug discovery sources. In particular, natural product combinations have been extensively studied, clinically tested, and widely used in traditional, folk and alternative medicines. But opinions about their therapeutic efficacies vary from placebo to synergistic effects. The important questions are whether synergistic effects can sufficiently elevate therapeutic potencies to drug levels, and by what mechanisms and at what odds such combinations can be assembled. We studied these questions by analyzing literature-reported cell-based potencies of 190 approved anticancer and antimicrobial drugs, 1378 anticancer and antimicrobial natural products, 99 natural product extracts, 124 synergistic natural product combinations, and 122 molecular interaction profiles of the 19 natural product combinations with collective potency enhanced to drug level or by >10-fold. Most of the evaluated natural products and combinations are sub-potent to drugs. Sub-potent natural products can be assembled into combinations of drug level potency at low probabilities by distinguished multi-target modes modulating primary targets, their regulators and effectors, and intracellular bioavailability of the active natural products.

Indexed as

Anti-Bacterial AgentsAntineoplastic AgentsBiological ProductsDrug CombinationsDrug InteractionsDrug SynergismHumansInhibitory Concentration 50Microbial Sensitivity TestsAnti-Bacterial AgentsAntineoplastic AgentsBiological ProductsDrug Combinations

Identifiers

PMID23209627
PMCPMC3509152
OpenAlexW2030433334

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.