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Meta分析:一种用于选择鼻脑纳米载体的便捷工具。

Meta-Analysis: A Convenient Tool for the Choice of Nose-to-Brain Nanocarriers.

作者信息

Hathout Rania M, El-Marakby Eman M

机构信息

Department of Pharmaceutics and Industrial Pharmacy, Faculty of Pharmacy, Ain Shams University, African Union Organization St., Cairo 11566, Egypt.

出版信息

Bioengineering (Basel). 2022 Nov 3;9(11):647. doi: 10.3390/bioengineering9110647.

DOI:10.3390/bioengineering9110647
PMID:36354558
原文链接:https://pmc.ncbi.nlm.nih.gov/articles/PMC9687115/
Abstract

OBJECTIVES

The intranasal route represents a high promising route of administration aiming for brain delivery. Yet, it represents one of the most difficult and complicated routes. Accordingly, scientists are in a continuous search for novel drug delivery vehicles such as the lipid and polymeric nanoparticles that are apt to enhance the bioavailability of the administered drugs to reach the brain. In this study, a certain number of publications were selected from different databases and literature. Meta-analysis studies using two different algorithms (DerSimonian-Laird and inverse variance) followed aiming to explore the published studies and confirm by evidence the superiority of nanocarriers in enhancing the brain bioavailability of various drugs. Furthermore, the quantitative comparison of lipid versus polymeric nanosystems was performed.

METHODS

The area under the curve (AUC) as an important pharmacokinetic parameter extracted from in vivo animal studies was designated as the "effect" in the performed meta-analysis after normalization. Forest plots were generated.

KEY FINDINGS AND CONCLUSIONS

The meta-analysis confirmed the augmentation of the AUC after the comparison with traditional preparations such as solutions and suspensions. Most importantly, lipid nanoparticles were proven to be significantly superior to the polymeric counterparts.

摘要

目的

鼻内给药途径是一种极具前景的脑靶向给药途径。然而,它也是最困难和复杂的给药途径之一。因此,科学家们一直在不断寻找新型药物递送载体,如脂质纳米颗粒和聚合物纳米颗粒,这些载体有助于提高给药药物到达大脑的生物利用度。在本研究中,从不同数据库和文献中选取了一定数量的出版物。随后采用两种不同算法(DerSimonian-Laird法和逆方差法)进行荟萃分析,旨在探究已发表的研究,并通过证据证实纳米载体在提高各种药物脑生物利用度方面的优越性。此外,还对脂质纳米系统和聚合物纳米系统进行了定量比较。

方法

在进行的荟萃分析中,将从体内动物研究中提取的重要药代动力学参数曲线下面积(AUC)在归一化后指定为“效应”。生成了森林图。

主要发现与结论

荟萃分析证实,与溶液和混悬液等传统制剂相比,AUC有所增加。最重要的是,脂质纳米颗粒被证明明显优于聚合物纳米颗粒。

https://cdn.ncbi.nlm.nih.gov/pmc/blobs/1373/9687115/78c2fa9638dc/bioengineering-09-00647-g010.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/1373/9687115/e868d09c00e1/bioengineering-09-00647-g001.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/1373/9687115/523c336a9529/bioengineering-09-00647-g002.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/1373/9687115/b19438e25f54/bioengineering-09-00647-g003.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/1373/9687115/1083d5fba743/bioengineering-09-00647-g004.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/1373/9687115/58f9621fa8eb/bioengineering-09-00647-g005.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/1373/9687115/977db912369b/bioengineering-09-00647-g006.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/1373/9687115/343e36847cff/bioengineering-09-00647-g007.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/1373/9687115/517a0c857a8d/bioengineering-09-00647-g008.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/1373/9687115/695dc105314f/bioengineering-09-00647-g009.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/1373/9687115/78c2fa9638dc/bioengineering-09-00647-g010.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/1373/9687115/e868d09c00e1/bioengineering-09-00647-g001.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/1373/9687115/523c336a9529/bioengineering-09-00647-g002.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/1373/9687115/b19438e25f54/bioengineering-09-00647-g003.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/1373/9687115/1083d5fba743/bioengineering-09-00647-g004.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/1373/9687115/58f9621fa8eb/bioengineering-09-00647-g005.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/1373/9687115/977db912369b/bioengineering-09-00647-g006.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/1373/9687115/343e36847cff/bioengineering-09-00647-g007.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/1373/9687115/517a0c857a8d/bioengineering-09-00647-g008.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/1373/9687115/695dc105314f/bioengineering-09-00647-g009.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/1373/9687115/78c2fa9638dc/bioengineering-09-00647-g010.jpg

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