Evidence map›Paper›PMID 39212623›Full record

ArticleSmall (Weinheim an der Bergstrasse, Germany)2024

Liver-on-a-Chip Integrated with Label-Free Optical Biosensors for Rapid and Continuous Monitoring of Drug-Induced Toxicity.

Jia-Wei Yang, Danial Khorsandi, Luis Trabucco, Maisha Ahmed, Ali Khademhosseini, Mehmet Remzi Dokmeci, Jing Yong Ye, Vadim Jucaud

Abstract read
In one paragraph

Article in Small (Weinheim an der Bergstrasse, Germany), 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 17 papers.

0numbers the graph read from it
0cells of the map it votes in
17citing 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

17 citing papers in PubMed.

  1. Review
  2. Article
  3. Article
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  5. Review
  6. Article
  7. Review
  8. Biosensor applications in organ-on-a-chip platforms and disease modeling.Frontiers in bioengineering and biotechnology · 2026
    Review
  9. Article
  10. Review
  11. Article
  12. Article
  13. Article
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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

8 authors.

Jia-Wei YangTerasaki Institute for Biomedical Innovation, 21100 Erwin St, Woodland Hills, CA, 91367, USA.
Danial KhorsandiTerasaki Institute for Biomedical Innovation, 21100 Erwin St, Woodland Hills, CA, 91367, USA.ORCID 0000-0002-5245-5555
Luis TrabuccoDepartment of Biomedical Engineering and Chemical Engineering, The University of Texas at San Antonio, One UTSA Circle, San Antonio, TX, 78249, USA.
Maisha AhmedDepartment of Biomedical Engineering and Chemical Engineering, The University of Texas at San Antonio, One UTSA Circle, San Antonio, TX, 78249, USA.
Ali KhademhosseiniTerasaki Institute for Biomedical Innovation, 21100 Erwin St, Woodland Hills, CA, 91367, USA.ORCID 0000-0002-2692-1524
Mehmet Remzi DokmeciTerasaki Institute for Biomedical Innovation, 21100 Erwin St, Woodland Hills, CA, 91367, USA.
Jing Yong YeDepartment of Biomedical Engineering and Chemical Engineering, The University of Texas at San Antonio, One UTSA Circle, San Antonio, TX, 78249, USA.
Vadim JucaudTerasaki Institute for Biomedical Innovation, 21100 Erwin St, Woodland Hills, CA, 91367, USA.ORCID 0000-0003-0385-2623

Funding

UTSA RISE Research Training ProgramR25GM060655 · NIGMS · UNIVERSITY OF TEXAS SAN ANTONIO · PI BAREA-RODRIGUEZ, EDWIN J · 2000 to 2022
$21.6M
Multi-organ-on-chip device for modeling opioid reinforcement and withdrawal, and the negative affective component of pain: a therapeutic screening tool.UH3TR003148 · NCATS · UNIVERSITY OF CALIFORNIA LOS ANGELES · PI ASHAMMAKHI, NUREDDIN, MAIDMENT, NIGEL T · 2022 to 2024
$2.4M
Multi-organ-on-chip device for modeling opioid reinforcement and withdrawal, and the negative affective component of pain: a therapeutic screening tool.UG3TR003148 · NCATS · UNIVERSITY OF CALIFORNIA LOS ANGELES · PI ASHAMMAKHI, NUREDDIN, KHADEMHOSSEINI, ALI · 2019 to 2021
$2.1M
Research Supplements to Promote DiversityR01GM126571 · NIGMS · UNIVERSITY OF CALIFORNIA LOS ANGELES · PI DOKMECI, MEHMET REMZI, YE, JING YONG · 2018 to 2021
$1.3M
Foundation for the National Institutes of Health GM126571Foundation for the National Institutes of Health TR003148National Science and Technology Council NSTC 112-2917-I-564-015NCATS NIH HHS UG3 TR003148NCATS NIH HHS UH3 TR003148NIGMS NIH HHS R01 GM126571NIGMS NIH HHS R25 GM060655
6 · The paper itself

Abstract

Drug toxicity assays using conventional 2D static cultures and animal studies have limitations preventing the translation of potential drugs to the clinic. The recent development of organs-on-a-chip platforms provides promising alternatives for drug toxicity/screening assays. However, most studies conducted with these platforms only utilize single endpoint results, which do not provide real-time/ near real-time information. Here, a versatile technology is presented that integrates a 3D liver-on-a-chip with a label-free photonic crystal-total internal reflection (PC-TIR) biosensor for rapid and continuous monitoring of the status of cells. This technology can detect drug-induced liver toxicity by continuously monitoring the secretion rates and levels of albumin and glutathione S-transferase α (GST-α) of a 3D liver on-a-chip model treated with Doxorubicin. The PC-TIR biosensor is based on a one-step antibody functionalization with high specificity and a detection range of 21.7 ng mL

Indexed as

Biosensing TechniquesLab-On-A-Chip DevicesLiverAnimalsDoxorubicinHumansDoxorubicincontinuous detectiondrug toxicityliver‐on‐a‐chipoptical biosensorrapid detection

Identifiers

PMID39212623
PMCPMC11602353

What OpenQuestion holds

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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.