Elucidation of the liver pathophysiology of COVID-19 patients using liver-on-a-chips.

Baricitinib COVID-19 Remdesivir SARS-CoV-2 liver-on-a-chip organs-on-a-chip

Journal

PNAS nexus
ISSN: 2752-6542
Titre abrégé: PNAS Nexus
Pays: England
ID NLM: 9918367777906676

Informations de publication

Date de publication:
Mar 2023
Historique:
received: 26 09 2022
revised: 10 01 2023
accepted: 18 01 2023
entrez: 10 3 2023
pubmed: 11 3 2023
medline: 11 3 2023
Statut: epublish

Résumé

SARS-CoV-2 induces severe organ damage not only in the lung but also in the liver, heart, kidney, and intestine. It is known that COVID-19 severity correlates with liver dysfunction, but few studies have investigated the liver pathophysiology in COVID-19 patients. Here, we elucidated liver pathophysiology in COVID-19 patients using organs-on-a-chip technology and clinical analyses. First, we developed liver-on-a-chip (LoC) which recapitulating hepatic functions around the intrahepatic bile duct and blood vessel. We found that hepatic dysfunctions, but not hepatobiliary diseases, were strongly induced by SARS-CoV-2 infection. Next, we evaluated the therapeutic effects of COVID-19 drugs to inhibit viral replication and recover hepatic dysfunctions, and found that the combination of anti-viral and immunosuppressive drugs (Remdesivir and Baricitinib) is effective to treat hepatic dysfunctions caused by SARS-CoV-2 infection. Finally, we analyzed the sera obtained from COVID-19 patients, and revealed that COVID-19 patients, who were positive for serum viral RNA, are likely to become severe and develop hepatic dysfunctions, as compared with COVID-19 patients who were negative for serum viral RNA. We succeeded in modeling the liver pathophysiology of COVID-19 patients using LoC technology and clinical samples.

Identifiants

pubmed: 36896132
doi: 10.1093/pnasnexus/pgad029
pii: pgad029
pmc: PMC9991504
doi:

Types de publication

Journal Article

Langues

eng

Pagination

pgad029

Informations de copyright

© The Author(s) 2023. Published by Oxford University Press on behalf of National Academy of Sciences.

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Auteurs

Sayaka Deguchi (S)

Center for iPS Cell Research and Application (CiRA), Kyoto University, Kyoto 606-8507, Japan.
Department of Medical Science, Graduate School of Medicine, Kyoto University, Kyoto 606-8507, Japan.

Kaori Kosugi (K)

Center for iPS Cell Research and Application (CiRA), Kyoto University, Kyoto 606-8507, Japan.

Rina Hashimoto (R)

Center for iPS Cell Research and Application (CiRA), Kyoto University, Kyoto 606-8507, Japan.

Ayaka Sakamoto (A)

Center for iPS Cell Research and Application (CiRA), Kyoto University, Kyoto 606-8507, Japan.

Masaki Yamamoto (M)

Department of Clinical Laboratory Medicine, Graduate School of Medicine, Kyoto University, Kyoto 606-8507, Japan.

Rafal P Krol (RP)

CiRA Foundation, Research and Development Center, Kyoto 606-8397, Japan.

Peter Gee (P)

MaxCyte, Inc., Gaithersburg, MD 20878, USA.

Ryosuke Negoro (R)

Laboratory of Molecular Pharmacokinetics, College of Pharmaceutical Sciences, Ritsumeikan University, Kusatsu 525-8577, Japan.

Takeshi Noda (T)

Laboratory of Ultrastructural Virology, Institute for Frontier Life and Medical Sciences, Kyoto University, Kyoto 606-8507, Japan.
CREST, Japan Science and Technology Agency (JST), Kawaguchi 332-0012, Japan.

Takuya Yamamoto (T)

Center for iPS Cell Research and Application (CiRA), Kyoto University, Kyoto 606-8507, Japan.
Institute for the Advanced Study of Human Biology (WPI-ASHBi), Kyoto University, Kyoto 606-8501, Japan.
Medical-risk Avoidance based on iPS Cells Team, RIKEN Center for Advanced Intelligence Project (AIP), Kyoto 606-8507, Japan.

Yu-Suke Torisawa (YS)

Department of Micro Engineering, Kyoto University, Kyoto 615-8540, Japan.

Miki Nagao (M)

Department of Clinical Laboratory Medicine, Graduate School of Medicine, Kyoto University, Kyoto 606-8507, Japan.

Kazuo Takayama (K)

Center for iPS Cell Research and Application (CiRA), Kyoto University, Kyoto 606-8507, Japan.
AMED-CREST, Japan Agency for Medical Research and Development (AMED), Tokyo 100-0004, Japan.

Classifications MeSH