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Liver-on-a-Chip (LoC) Models: Case Studies of Academic Platforms and Commercial Products

  • Zineb Benzait
  • , Özlem Tomsuk
  • , Aliakbar Ebrahimi
  • , Hamed Ghorbanpoor
  • , Ceren Özel
  • , Reza Didarian
  • , Bahar Demir Cevizlidere
  • , Murat Kaya
  • , Tamer Gur
  • , Nigar Gasimzade
  • , Fulya Büge Ergen
  • , Ahmet Emin Topal
  • , Shadab Dabagh
  • , Roshan Javanifar
  • , Nuran Abdullayeva
  • , Onur Uysal
  • , Ayla Eker Sarıboyacı
  • , Fatma Doğan Güzel
  • , Shabir Hassan
  • , Huseyin Avci*
  • *Corresponding author for this work
  • Osmangazi University
  • Karadeniz Technical University
  • Institut de Recherche en Cancérologie de Montpellier
  • Middle East Technical University
  • Yildirim Beyazit Universitesi
  • Harvard University
  • University of Konstanz
  • Scientific - Research Institute of Medical Prophylaxis Named after V. Y. Akhundov
  • Bahcesehir University
  • National Research Council of Italy
  • Khalifa University of Science and Technology

Research output: Contribution to journalReview articlepeer-review

2 Citations (Scopus)

Abstract

Pharmaceutical companies place significant importance on the liver due to its crucial role in numerous biochemical processes, specifically in drug metabolism. This focus has led to significant progress in liver-on-a-chip (LoC) technology, which has proven useful not only in drug development but also in more advanced applications. As a result, elaboration and incorporation of advanced LoC models into preclinical workflows have great potential to decrease R&D expenses and reduce or even replace animal testing, while improving the safety and efficacy of new therapies. To explore this potential, the present review provides an overview of recent academic and commercial LoC models, examines their different designs and cellular compositions, and evaluates the advantages and disadvantages of their complexity. A systematic comparison of these models is then performed, along with a discussion of their current challenges and future perspectives. Ultimately, we hope this review will assist scientists and industry professionals in selecting optimal models and in contributing to future advancements in LoC technology.

Original languageEnglish
Pages (from-to)1367-1401
Number of pages35
JournalMolecular Pharmaceutics
Volume23
Issue number3
DOIs
Publication statusPublished - 2 Mar 2026
Externally publishedYes

UN SDGs

This output contributes to the following UN Sustainable Development Goals (SDGs)

  1. SDG 9 - Industry, Innovation, and Infrastructure
    SDG 9 Industry, Innovation, and Infrastructure

OECD Field of Science

  • 1.3 Physical Sciences
  • 1.6 Biological Sciences

Keywords

  • liver modeling
  • liver-on-a-chip
  • microfluidics
  • microphysiological systems
  • OoC technology
  • organ-on-a-chip

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