Evidence map›Paper›PMID 32636950›Full record

ArticleAsian journal of pharmaceutical sciences2020

Intranasal delivery of paeoniflorin nanocrystals for brain targeting.

Chaoyin Wu, Benyue Li, Yi Zhang, Tingting Chen, Chuangrong Chen, Wei Jiang, Qi Wang, Tongkai Chen

Open access · diamondAbstract read
In one paragraph

Article in Asian journal of pharmaceutical sciences, 2020. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 33 papers.

0numbers the graph read from it
0cells of the map it votes in
33citing papers in PubMed
2.7field-weighted citation impact, top 10% 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

33 citing papers in PubMed, 63 citations in OpenAlex.

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  19. RSC advances · 2024
    Article
  20. Research progress on intranasal treatment for Parkinson's disease.Neuroprotection (Chichester, England) · 2024
    Review
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

8 authors at 1 institution in 1 country.

Chaoyin WuInstitute of Clinical Pharmacology, Guangzhou University of Chinese Medicine, Guangzhou 510405, China.
Benyue LiInstitute of Clinical Pharmacology, Guangzhou University of Chinese Medicine, Guangzhou 510405, China.
Yi ZhangInstitute of Clinical Pharmacology, Guangzhou University of Chinese Medicine, Guangzhou 510405, China.
Tingting ChenGuangzhou Institutes of Biomedicine and Health, Chinese Academy of Sciences, Guangzhou 510530, China.
Chuangrong ChenScience and Technology Department, Guangzhou University of Chinese Medicine, Guangzhou 510006, China.
Wei JiangDepartment of Radiology, Sun Yet-sen Memorial Hospital, Sun Yet-sen University, Guangzhou 510120, China.
Qi WangInstitute of Clinical Pharmacology, Guangzhou University of Chinese Medicine, Guangzhou 510405, China.
Tongkai ChenInstitute of Clinical Pharmacology, Guangzhou University of Chinese Medicine, Guangzhou 510405, China.
Guangzhou University of Chinese Medicine · CN

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Paeoniflorin (PA) is an anti-Parkinson Chinese medicine with inferior bioavailability and difficulty in delivery to the brain. This research is to develop an efficacious PA nanocrystal formulation (PA-NCs) that is suitable for intranasal administration to treat Parkinson's disease (PD). PA-NCs were fabricated through an antisolvent precipitation method using TPGS as the stabilizer. The rod-shaped PA-NCs had particle size of 139.6 ± 1.3 nm and zeta potential of -23.2 ± 0.529 mV. A molecular dynamics simulation indicated that van der Waals forces are the primary drivers of interactions between PA and TPGS. In the

Indexed as

Brain targetingIntranasal deliveryNanocrystalsNeuroprotective effectPaeoniflorin

Identifiers

PMID32636950
PMCPMC7327772
OpenAlexW2989867584

What OpenQuestion holds

Textmetadata
LicenceCC BY-NC-ND
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.