Evidence map›Paper›PMID 31035404›Full record

ArticleMolecules (Basel, Switzerland)2019

Design, Synthesis, and Mechanism of Dihydroartemisinin⁻Coumarin Hybrids as Potential Anti-Neuroinflammatory Agents.

Haonan Yu, Zhuang Hou, Xiaoguang Yang, Yanhua Mou, Chun Guo

Abstract read
In one paragraph

Article in Molecules (Basel, Switzerland), 2019. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 7 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
7citing papers in PubMed, 1 pooled it
–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

7 citing papers in PubMed, 1 synthesis or guideline pooled it.

  1. Pooled it
  2. Article
  3. Article
  4. Review
  5. Review
  6. Article
  7. 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

5 authors.

Haonan YuSchool of Pharmaceutical Engineering, Shenyang Pharmaceutical University, Shenyang 110016, China. yhna380@hotmail.com.
Zhuang HouSchool of Pharmaceutical Engineering, Shenyang Pharmaceutical University, Shenyang 110016, China. houzhuang8@sina.com.
Xiaoguang YangSchool of Pharmaceutical Engineering, Shenyang Pharmaceutical University, Shenyang 110016, China. Xiaog_yang@163.com.
Yanhua MouSchool of life sciences and biological pharmacy, Shenyang Pharmaceutical University, Shenyang 110016, China. mu_hua_jj@sina.com.
Chun GuoSchool of Pharmaceutical Engineering, Shenyang Pharmaceutical University, Shenyang 110016, China. chunguo@syphu.edu.cn.

Funding

National Natural Science Foundation of China 81573292
6 · The paper itself

Abstract

Cancer patients frequently suffer from cancer-related fatigue (CRF), which is a complex syndrome associated with weakness and depressed mood. Neuroinflammation is one of the major inducers of CRF. The aim of this study is to find a potential agent not only on the treatment of cancer, but also for reducing CRF level of cancer patients. In this study, total-thirty new Dihydroartemisinin-Coumarin hybrids (DCH) were designed and synthesized. The in vitro cytotoxicity against cancer cell lines (HT-29, MDA-MB-231, HCT-116, and A549) was evaluated. Simultaneously, we also tested the anti-neuroinflammatory activity of DCH. DCH could inhibit the activated microglia N9 release of NO, TNF-α, and IL-6. The docking analysis was shown that MD-2, the coreceptor of TLR4, might be one of the targets of DCH.

Indexed as

Anti-Inflammatory AgentsArtemisininsCell Line, TumorCell SurvivalCoumarinsHumansInhibitory Concentration 50Molecular Docking SimulationMolecular Dynamics SimulationMolecular StructureStructure-Activity RelationshipAnti-Inflammatory AgentsArtemisininsartenimolcoumarinCoumarinsanticanceranti-neuroinflammationcoumarindihydroartemisinin

Identifiers

PMID31035404
PMCPMC6539525

What OpenQuestion holds

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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.