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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*
  • *Šī darba korespondējošais autors
  • 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

Zinātniskās darbības rezultāts: Devums žurnālamPārskata rakstskoleģiāli recenzēts

2 Atsauces (Scopus)

Kopsavilkums

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.

OriģinālvalodaAngļu
Lapas (no-līdz)1367-1401
Lapu skaits35
ŽurnālsMolecular Pharmaceutics
Sējums23
Izdevuma numurs3
DOIs
Publikācijas statussPublicēts - 2 marts 2026
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