Evidence map›Paper›PMID 32549277›Full record

ReviewMicromachines2020

Microfluidics as a Novel Tool for Biological and Toxicological Assays in Drug Discovery Processes: Focus on Microchip Electrophoresis.

Giuseppe Caruso, Nicolò Musso, Margherita Grasso, Angelita Costantino, Giuseppe Lazzarino, Fabio Tascedda, Massimo Gulisano, Susan M Lunte, Filippo Caraci

Open access · goldAbstract readReview
In one paragraph

Review in Micromachines, 2020. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 22 papers.

0numbers the graph read from it
0cells of the map it votes in
22citing papers in PubMed
2.5field-weighted citation impact, top 11% 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

22 citing papers in PubMed, 49 citations in OpenAlex.

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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

9 authors at 4 institutions in 2 countries.

Giuseppe CarusoOasi Research Institute-IRCCS, 94018 Troina (EN), Italy.ORCID 0000-0003-1571-5327
Nicolò MussoDepartment of Biomedical and Biotechnological Sciences (BIOMETEC), University of Catania, 95125 Catania, Italy.ORCID 0000-0003-2451-1158
Margherita GrassoOasi Research Institute-IRCCS, 94018 Troina (EN), Italy.
Angelita CostantinoDepartment of Drug Sciences, University of Catania, 95125 Catania, Italy.
Giuseppe LazzarinoDepartment of Biomedical and Biotechnological Sciences (BIOMETEC), University of Catania, 95125 Catania, Italy.ORCID 0000-0002-5917-7279
Fabio TasceddaDepartment of Life Sciences, University of Modena and Reggio Emilia, 41125 Modena, Italy.ORCID 0000-0002-0958-7333
Massimo GulisanoDepartment of Drug Sciences, University of Catania, 95125 Catania, Italy.ORCID 0000-0001-8654-1745
Susan M LunteRalph N. Adams Institute for Bioanalytical Chemistry, University of Kansas, Lawrence, KS 66047-1620, USA.
Filippo CaraciOasi Research Institute-IRCCS, 94018 Troina (EN), Italy.
University of Catania · ITOasi Maria SS · ITUniversity of Kansas · USUniversity of Modena and Reggio Emilia · IT

Funding

Understanding the mechanobiology of stem cells in a microengineered 3D cardiac tissue environment with cardiomyopathyP20GM103638 · NIGMS · UNIVERSITY OF KANSAS LAWRENCE · PI LUNTE, SUSAN M · 2012 to 2021
$22.1M
Italian Ministry of Economic Development F/200110/02/X45Italian Ministry of Education University and Research D.M. 587 del 08.08.2018Italian Ministry of Health Research Program 2018 2635256NIGMS NIH HHS P20 GM103638
6 · The paper itself

Abstract

The last decades of biological, toxicological, and pharmacological research have deeply changed the way researchers select the most appropriate 'pre-clinical model'. The absence of relevant animal models for many human diseases, as well as the inaccurate prognosis coming from 'conventional' pre-clinical models, are among the major reasons of the failures observed in clinical trials. This evidence has pushed several research groups to move more often from a classic cellular or animal modeling approach to an alternative and broader vision that includes the involvement of microfluidic-based technologies. The use of microfluidic devices offers several benefits including fast analysis times, high sensitivity and reproducibility, the ability to quantitate multiple chemical species, and the simulation of cellular response mimicking the closest human in vivo milieu. Therefore, they represent a useful way to study drug-organ interactions and related safety and toxicity, and to model organ development and various pathologies 'in a dish'. The present review will address the applicability of microfluidic-based technologies in different systems (2D and 3D). We will focus our attention on applications of microchip electrophoresis (ME) to biological and toxicological studies as well as in drug discovery and development processes. These include high-throughput single-cell gene expression profiling, simultaneous determination of antioxidants and reactive oxygen and nitrogen species, DNA analysis, and sensitive determination of neurotransmitters in biological fluids. We will discuss new data obtained by ME coupled to laser-induced fluorescence (ME-LIF) and electrochemical detection (ME-EC) regarding the production and degradation of nitric oxide, a fundamental signaling molecule regulating virtually every critical cellular function. Finally, the integration of microfluidics with recent innovative technologies-such as organoids, organ-on-chip, and 3D printing-for the design of new in vitro experimental devices will be presented with a specific attention to drug development applications. This 'composite' review highlights the potential impact of 2D and 3D microfluidic systems as a fast, inexpensive, and highly sensitive tool for high-throughput drug screening and preclinical toxicological studies.

Indexed as

3D bioprintingcarnosinedrug screeningmicrochip electrophoresisorganoidsorgans-on-a-chiptoxicology

Identifiers

PMID32549277
PMCPMC7344675
OpenAlexW3034962345

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.