Evidence map›Paper›PMID 30961123›Full record

ArticlePolymers2018

Precise Dissolution Control and Bioavailability Evaluation for Insoluble Drug Berberine via a Polymeric Particle Prepared Using Supercritical CO₂.

Jingfu Jia, Kerong Zhang, Xue Zhou, Dan Zhou, Fahuan Ge

Abstract read
In one paragraph

Article in Polymers, 2018. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 9 papers.

0numbers the graph read from it
0cells of the map it votes in
9citing papers in PubMed
–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

9 citing papers in PubMed.

  1. Article
  2. Review
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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.

Jingfu JiaSchool of Pharmaceutical Sciences, Sun Yat-sen University, Guangzhou 510006, China. jiajingfu@mail.sysu.edu.cn.
Kerong ZhangSchool of Pharmaceutical Sciences, Sun Yat-sen University, Guangzhou 510006, China. 15388779694@163.com.
Xue ZhouSchool of Pharmaceutical Sciences, Sun Yat-sen University, Guangzhou 510006, China. zhouxue9@mail.sysu.edu.cn.
Dan ZhouNansha Research Institute of Sun Yat-Sen University, Guangzhou 511458, China. zhoudandanny@163.com.
Fahuan GeSchool of Pharmaceutical Sciences, Sun Yat-sen University, Guangzhou 510006, China. gefahuan@mail.sysu.edu.cn.

Funding

Guangdong science and technology department 100,000 RMB
6 · The paper itself

Abstract

It is still controversial whether poor aqueous solubility is the most primary reason for the low oral bioavailability of insoluble drugs. Therefore, in this study, berberine-loaded solid polymeric particles (BPs) of varied dissolution profiles with β-cyclodextrin (β-CD) as carrier were fabricated using solution-enhanced dispersion by supercritical fluids (SEDS), and the relationship between dissolution and berberine (BBR) bioavailability was evaluated. Dissolution property was controlled via particle morphology manipulation, which was achieved by adjusting several key operating parameters during the SEDS process. Characterization on BP using infrared spectroscopy, differential scanning calorimetry, and X-ray diffraction indicated that BBR was dispersed in amorphous form, while nuclear magnetic resonance spectroscopy showed that methoxy groups of BBR were included into the cavities of β-CD. In vivo pharmacokinetic studies showed that oral bioavailability increased by about 54% and 86% when the dissolution rate of BBR was increased by 51% and 83%, respectively. The entry speed of BBR into the bloodstream was also advanced with the degree of dissolution enhancement. It seemed that dissolution enhancement gave positive effect to the oral bioavailability of berberine, but this might not be the crucial point. Meanwhile, supercritical CO₂ technology is a promising method for pharmaceutical research due to its advantages in regulating drug-dosage properties.

Indexed as

berberinebioavailabilitydissolutionpolymeric particlesupercritical CO2

Identifiers

PMID30961123
PMCPMC6290634

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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.