Evidence map›Paper›PMID 31234335›Full record

ReviewMicromachines2019

Evaluating Nanoparticles in Preclinical Research Using Microfluidic Systems.

Derui Zhu, Qifu Long, Yuzhen Xu, Jiangwa Xing

Abstract readReview
In one paragraph

Review in Micromachines, 2019. 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
  3. Article
  4. Review
  5. Article
  6. Nanoparticles: Taking a Unique Position in Medicine.Nanomaterials (Basel, Switzerland) · 2023
    Review
  7. Article
  8. Review
  9. 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

4 authors.

Derui ZhuResearch Center of Basic Medical Sciences, Medical College, Qinghai University, Xining 810016, China. 2007980008@qhu.edu.cn.
Qifu LongResearch Center of Basic Medical Sciences, Medical College, Qinghai University, Xining 810016, China. 2000980001@qhu.edu.cn.
Yuzhen XuDepartment of Basic Medical Sciences, Medical College, Qinghai University, Xining 810016, China. 2015980003@qhu.edu.cn.
Jiangwa XingResearch Center of Basic Medical Sciences, Medical College, Qinghai University, Xining 810016, China. xingjiangwa@qhu.edu.cn.

Funding

National Natural Science Foundation of China 31860030the Science Technology Foundation for Middle-aged and Young Scientist of Qinghai Province 2018-ZJ-930Q
6 · The paper itself

Abstract

Nanoparticles (NPs) have found a wide range of applications in clinical therapeutic and diagnostic fields. However, currently most NPs are still in the preclinical evaluation phase with few approved for clinical use. Microfluidic systems can simulate dynamic fluid flows, chemical gradients, partitioning of multi-organs as well as local microenvironment controls, offering an efficient and cost-effective opportunity to fast screen NPs in physiologically relevant conditions. Here, in this review, we are focusing on summarizing key microfluidic platforms promising to mimic in vivo situations and test the performance of fabricated nanoparticles. Firstly, we summarize the key evaluation parameters of NPs which can affect their delivery efficacy, followed by highlighting the importance of microfluidic-based NP evaluation. Next, we will summarize main microfluidic systems effective in evaluating NP haemocompatibility, transport, uptake and toxicity, targeted accumulation and general efficacy respectively, and discuss the future directions for NP evaluation in microfluidic systems. The combination of nanoparticles and microfluidic technologies could greatly facilitate the development of drug delivery strategies and provide novel treatments and diagnostic techniques for clinically challenging diseases.

Indexed as

microfluidicsnanoparticles (NP)NP accumulationNP transportNP uptakeorgan-on-a-chip

Identifiers

PMID31234335
PMCPMC6631852

What OpenQuestion holds

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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.