Evidence map›Paper›PMID 27763495›Full record

ArticleInternational journal of molecular sciences2016

Auraptene and Other Prenyloxyphenylpropanoids Suppress Microglial Activation and Dopaminergic Neuronal Cell Death in a Lipopolysaccharide-Induced Model of Parkinson's Disease.

Satoshi Okuyama, Tomoki Semba, Nobuki Toyoda, Francesco Epifano, Salvatore Genovese, Serena Fiorito, Vito Alessandro Taddeo, Atsushi Sawamoto, Mitsunari Nakajima, Yoshiko Furukawa

Open access · goldAbstract read
In one paragraph

Article in International journal of molecular sciences, 2016. 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
3.6field-weighted citation impact, top 7% 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, 45 citations in OpenAlex.

  1. Pooled it
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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

10 authors at 2 institutions in 2 countries.

Satoshi OkuyamaDepartment of Pharmaceutical Pharmacology, College of Pharmaceutical Sciences, Matsuyama University, 4-2 Bunkyo-cho, Matsuyama, Ehime 790-8578, Japan. sokuyama@cc.matsuyama-u.ac.jp.
Tomoki SembaDepartment of Pharmaceutical Pharmacology, College of Pharmaceutical Sciences, Matsuyama University, 4-2 Bunkyo-cho, Matsuyama, Ehime 790-8578, Japan. mu.yakuri.001@gmail.com.
Nobuki ToyodaDepartment of Pharmaceutical Pharmacology, College of Pharmaceutical Sciences, Matsuyama University, 4-2 Bunkyo-cho, Matsuyama, Ehime 790-8578, Japan. kowagari77@yahoo.co.jp.
Francesco EpifanoDepartment of Pharmacy, University "G. D'Annunzio", Chieti-Pescara Via dei Vestini 31, Chieti Scalo 66100, Italy. fepifano@unich.it.
Salvatore GenoveseDepartment of Pharmacy, University "G. D'Annunzio", Chieti-Pescara Via dei Vestini 31, Chieti Scalo 66100, Italy. s.genovese@unich.it.
Serena FioritoDepartment of Pharmacy, University "G. D'Annunzio", Chieti-Pescara Via dei Vestini 31, Chieti Scalo 66100, Italy. serena.fiorito@unich.it.
Vito Alessandro TaddeoDepartment of Pharmacy, University "G. D'Annunzio", Chieti-Pescara Via dei Vestini 31, Chieti Scalo 66100, Italy. vito.taddeo@unich.it.
Atsushi SawamotoDepartment of Pharmaceutical Pharmacology, College of Pharmaceutical Sciences, Matsuyama University, 4-2 Bunkyo-cho, Matsuyama, Ehime 790-8578, Japan. 46140018@cc.matsuyama-u.ac.jp.
Mitsunari NakajimaDepartment of Pharmaceutical Pharmacology, College of Pharmaceutical Sciences, Matsuyama University, 4-2 Bunkyo-cho, Matsuyama, Ehime 790-8578, Japan. mnakajim@cc.matsuyama-u.ac.jp.
Yoshiko FurukawaDepartment of Pharmaceutical Pharmacology, College of Pharmaceutical Sciences, Matsuyama University, 4-2 Bunkyo-cho, Matsuyama, Ehime 790-8578, Japan. furukawa@cc.matsuyama-u.ac.jp.
Matsuyama University · JPUniversity of Chieti-Pescara · IT

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

In patients with Parkinson's disease (PD), hyperactivated inflammation in the brain, particularly microglial hyperactivation in the substantia nigra (SN), is reported to be one of the triggers for the delayed loss of dopaminergic neurons and sequential motor functional impairments. We previously reported that (1) auraptene (AUR), a natural prenyloxycoumain, suppressed inflammatory responses including the hyperactivation of microglia in the ischemic brain and inflamed brain, thereby inhibiting neuronal cell death; (2) 7-isopentenyloxycoumarin (7-IP), another natural prenyloxycoumain, exerted anti-inflammatory and neuroprotective effects against excitotoxicity; and (3) 4'-geranyloxyferulic acid (GOFA), a natural prenyloxycinnamic acid, also exerted anti-inflammatory effects. In the present study, using an intranigral lipopolysaccharide (LPS)-induced PD-like mouse model, we investigated whether AUR, 7-IP, and GOFA suppress microglial activation and protect against dopaminergic neuronal cell death in the SN. We successfully showed that these prenyloxyphenylpropanoids exhibited these prospective abilities, suggesting the potential of these compounds as neuroprotective agents for patients with PD.

Indexed as

AnimalsAnti-Inflammatory AgentsAstrocytesCell DeathCoumaric AcidsCoumarinsDopaminergic NeuronsInflammationLipopolysaccharidesMaleMiceMice, Inbred C57BLMicrogliaNeuroprotective AgentsParkinson DiseaseSubstantia Nigra4'-geranyloxyferulic acid7-isopentenyloxycoumarinAnti-Inflammatory AgentsauraptenCoumaric AcidsCoumarinsLipopolysaccharidesNeuroprotective Agents4′-geranyloxyferulic acid7-isopentenyloxycoumarinanti-inflammationauraptenemicroglianeuroprotectionParkinson’s diseaseprenyloxyphenylpropanoidssubstantia nigra

Identifiers

PMID27763495
PMCPMC5085747
OpenAlexW2539295243

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.