Evidence map›Paper›PMID 24743936›Full record

ArticleMolecules (Basel, Switzerland)2014

Synthesis and anti-hypertensive effects of the twin drug of nicotinic acid and quercetin tetramethyl ether.

Zhonglei Wang, Liyan Yang, Shuai Cui, Yingxi Liang, Xiaohua Zhang

Open access · goldFull text read
In one paragraph

Article in Molecules (Basel, Switzerland), 2014. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 7 papers.

0numbers the graph read from it
0cells of the map it votes in
7citing papers in PubMed
0.5field-weighted citation impact, top 35% 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

7 citing papers in PubMed, 19 citations in OpenAlex.

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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

5 authors at 2 institutions in 1 country.

Zhonglei WangSchool of Chinese Materia Medica, Beijing University of Chinese Medicine, Beijing 100102, China. wzlei2011bzy@sina.com.
Liyan YangCollege of Science, China University of Petroleum, Beijing 102249, China. ylyan2011cup@163.com.
Shuai CuiSchool of Chinese Materia Medica, Beijing University of Chinese Medicine, Beijing 100102, China. cuishuaistrive@163.com.
Yingxi LiangSchool of Chinese Materia Medica, Beijing University of Chinese Medicine, Beijing 100102, China. yxx.liang@163.com.
Xiaohua ZhangSchool of Chinese Materia Medica, Beijing University of Chinese Medicine, Beijing 100102, China. xhua_zhang@sina.com.
Beijing University of Chinese Medicine · CNChina University of Petroleum, Beijing · CN

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

A novel twin drug consisting of nicotinic acid (VB3) and quercetin tetramethyl ether (QTME) has been synthesized as an antihypertensive in a total yield of 79.2% through methylation, hydrolysis, acylation and esterification starting from rutin. The structures of synthesized compounds were elucidated by 1H-NMR, 13C-NMR and elemental analysis. The anti-hypertensive effects of an oral daily dose (15 mg/kg) of the synthesized compounds in spontaneously hypertensive (SHR) rats and normotensive Wistar Kyoto (WKY) rats were analysed. The data demonstrate that the twin drug VB3-QTME both reduces the elevated blood pressure and prolongs the action time in SHR rats without effect on WKY rats. However, definitive evidence of a precise mechanism of action by which VB3-QTME might decrease blood pressure remains elusive. Based on the results, the therapeutic potential of this twin drug is discussed.

Indexed as

Administration, OralAnimalsAntihypertensive AgentsBlood PressureEthersHypertensionMaleNiacinQuercetinRatsRats, Inbred SHRRats, Inbred WKYRutinTime FactorsAntihypertensive AgentsEthersNiacinQuercetinRutin

Identifiers

PMID24743936
PMCPMC6271710
OpenAlexW2065226956

What OpenQuestion holds

Textfull text, public
LicenceCC BY
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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.