Evidence map›Paper›PMID 34801796›Full record

ArticleBiosensors & bioelectronics2022

A novel wireless ECG system for prolonged monitoring of multiple zebrafish for heart disease and drug screening studies.

Tai Le, Jimmy Zhang, Anh H Nguyen, Ramses Seferino Trigo Torres, Khuong Vo, Nikil Dutt, Juhyun Lee, Yonghe Ding, Xiaolei Xu, Michael P H Lau and 1 more

Open access · greenAbstract read
In one paragraph

Article in Biosensors & bioelectronics, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 4 papers.

0numbers the graph read from it
0cells of the map it votes in
4citing papers in PubMed
1.9field-weighted citation impact, top 13% 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

4 citing papers in PubMed, 18 citations in OpenAlex.

  1. Article
  2. Review
  3. Article
  4. 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

11 authors at 4 institutions in 1 country.

Tai LeDepartment of Electrical Engineering and Computer Science, UC Irvine, Irvine, CA, 92697, USA.
Jimmy ZhangDepartment of Biomedical Engineering, UC Irvine, Irvine, CA, 92697, USA.
Anh H NguyenDepartment of Electrical Engineering and Computer Science, UC Irvine, Irvine, CA, 92697, USA; Sensoriis., Inc, Edmonds, WA, 98026, USA.
Ramses Seferino Trigo TorresDepartment of Biomedical Engineering, UC Irvine, Irvine, CA, 92697, USA.
Khuong VoDonald Bren School of Information and Computer Sciences, UC Irvine, CA 92697, USA.
Nikil DuttDonald Bren School of Information and Computer Sciences, UC Irvine, CA 92697, USA.
Juhyun LeeDepartment of Bioengineering, University of Texas, Arlington, TX, 76019, USA.
Yonghe DingDepartment of Biochemistry and Molecular Biology, Mayo Clinic, Rochester, MN, 55905, USA.
Xiaolei XuDepartment of Biochemistry and Molecular Biology, Mayo Clinic, Rochester, MN, 55905, USA.
Michael P H LauSensoriis., Inc, Edmonds, WA, 98026, USA.
Hung CaoDepartment of Electrical Engineering and Computer Science, UC Irvine, Irvine, CA, 92697, USA; Department of Biomedical Engineering, UC Irvine, Irvine, CA, 92697, USA; Sensoriis., Inc, Edmonds, WA, 98026, USA. Electronic address: hungcao@uci.edu.
University of California, Irvine · USMayo Clinic · USUC Irvine Health · USThe University of Texas at Arlington · US

Funding

Genetic Studies of Sarcomere-based Cardiac Diseases (Diversity Supplement)R01HL081753 · NHLBI · MAYO CLINIC ROCHESTER · PI XU, XIAOLEI · 2005 to 2025
$7.8M
Epicardial remodeling in cardiomyopathy and cardiac agingR01HL107304 · NHLBI · MAYO CLINIC ROCHESTER · PI Xiaolei Xu · 2011 to 2026
$6.6M
Cloud-based High-throughput Acquisition and Analytics of Zebrafish Electrocardiogram for Cardiac Studies and Drug DevelopmentR44OD024874 · OD · SENSORIIS, INC. · PI CAO, HUNG, LAU, MICHAEL P.H. · 2020 to 2021
$1.5M
NHLBI NIH HHS R01 HL081753NHLBI NIH HHS R01 HL107304NIH HHS R44 OD024874
6 · The paper itself

Abstract

Zebrafish and their mutant lines have been extensively used in cardiovascular studies. In the current study, the novel system, Zebra II, is presented for prolonged electrocardiogram (ECG) acquisition and analysis for multiple zebrafish within controllable working environments. The Zebra II is composed of a perfusion system, apparatuses, sensors, and an in-house electronic system. First, the Zebra II is validated in comparison with a benchmark system, namely iWORX, through various experiments. The validation displayed comparable results in terms of data quality and ECG changes in response to drug treatment. The effects of anesthetic drugs and temperature variation on zebrafish ECG were subsequently investigated in experiments that need real-time data assessment. The Zebra II's capability of continuous anesthetic administration enabled prolonged ECG acquisition up to 1 h compared to that of 5 min in existing systems. The novel, cloud-based, automated analysis with data obtained from four fish further provided a useful solution for combinatorial experiments and helped save significant time and effort. The system showed robust ECG acquisition and analytics for various applications including arrhythmia in sodium induced sinus arrest, temperature-induced heart rate variation, and drug-induced arrhythmia in Tg(SCN5A-D1275N) mutant and wildtype fish. The multiple channel acquisition also enabled the implementation of randomized controlled trials on zebrafish models. The developed ECG system holds promise and solves current drawbacks in order to greatly accelerate drug screening applications and other cardiovascular studies using zebrafish.

Indexed as

Biosensing TechniquesHeart DiseasesAnimalsDrug Evaluation, PreclinicalElectrocardiographyZebrafishCardiac diseaseDrug screeningElectrocardiogram (ECG)Prolonged anesthesiaZebrafish

Identifiers

PMID34801796
PMCPMC8900531
OpenAlexW3212834690

What OpenQuestion holds

Textmetadata
LicenceTDM
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.