Decreasing the burden of non-alcoholic fatty liver disease: From therapeutic targets to drug discovery opportunities.

Clinical studies Drug discovery Medicinal chemistry New therapeutic targets Non-alcoholic fatty liver disease (NAFLD)

Journal

European journal of medicinal chemistry
ISSN: 1768-3254
Titre abrégé: Eur J Med Chem
Pays: France
ID NLM: 0420510

Informations de publication

Date de publication:
31 Jul 2024
Historique:
received: 30 05 2024
revised: 24 07 2024
accepted: 25 07 2024
medline: 21 8 2024
pubmed: 21 8 2024
entrez: 20 8 2024
Statut: aheadofprint

Résumé

Non-alcoholic fatty liver disease (NAFLD) presents a pervasive global pandemic, affecting approximately 25 % of the world's population. This grave health issue not only demands urgent attention but also stands as a significant economic concern on a global scale. The genesis of NAFLD can be primarily attributed to unhealthy dietary habits and a sedentary lifestyle, albeit certain genetic factors have also been recorded to contribute to its occurrence. NAFLD is characterized by fat accumulation in more than 5 % of hepatocytes according to histological analysis, or >5.6 % of lipid volume fraction in total liver weight in patients. The pathophysiology of NAFLD/non-alcoholic steatohepatitis (NASH) is multifactorial and the mechanisms underlying the progression to advanced forms remain unclear, thereby representing a challenge to disease therapy. Despite the substantial efforts from the scientific community and the large number of pre-clinical and clinical trials performed so far, only one drug was approved by the Food and Drug Administration (FDA) to treat NAFLD/NASH specifically. This review provides an overview of available information concerning emerging molecular targets and drug candidates tested in clinical studies for the treatment of NAFLD/NASH. Improving our understanding of NAFLD pathophysiology and pharmacotherapy is crucial not only to explore new molecular targets, but also to potentiate drug discovery programs to develop new therapeutic strategies. This knowledge endeavours scientific efforts to reduce the time for achieving a specific and effective drug for NAFLD or NASH management and improve patients' quality of life.

Identifiants

pubmed: 39163775
pii: S0223-5234(24)00604-4
doi: 10.1016/j.ejmech.2024.116723
pii:
doi:

Types de publication

Journal Article Review

Langues

eng

Sous-ensembles de citation

IM

Pagination

116723

Informations de copyright

Copyright © 2024 The Authors. Published by Elsevier Masson SAS.. All rights reserved.

Déclaration de conflit d'intérêts

Declaration of competing interest All listed authors s have contributed to the manuscript substantially and have agreed to the final submitted version.

Auteurs

Ricardo Amorim (R)

CNC-UC, Center for Neuroscience and Cell Biology, University of Coimbra, Portugal; CIBB, Centre for Innovative Biomedicine and Biotechnology, University of Coimbra, Portugal.

Pedro Soares (P)

CIQUP-IMS/Department of Chemistry and Biochemistry, Faculty of Sciences, University of Porto, Porto, Portugal.

Daniel Chavarria (D)

CIQUP-IMS/Department of Chemistry and Biochemistry, Faculty of Sciences, University of Porto, Porto, Portugal.

Sofia Benfeito (S)

CIQUP-IMS/Department of Chemistry and Biochemistry, Faculty of Sciences, University of Porto, Porto, Portugal.

Fernando Cagide (F)

CIQUP-IMS/Department of Chemistry and Biochemistry, Faculty of Sciences, University of Porto, Porto, Portugal.

José Teixeira (J)

CNC-UC, Center for Neuroscience and Cell Biology, University of Coimbra, Portugal; CIBB, Centre for Innovative Biomedicine and Biotechnology, University of Coimbra, Portugal.

Paulo J Oliveira (PJ)

CNC-UC, Center for Neuroscience and Cell Biology, University of Coimbra, Portugal; CIBB, Centre for Innovative Biomedicine and Biotechnology, University of Coimbra, Portugal. Electronic address: pauloliv@cnc.uc.pt.

Fernanda Borges (F)

CIQUP-IMS/Department of Chemistry and Biochemistry, Faculty of Sciences, University of Porto, Porto, Portugal. Electronic address: fborges@fc.up.pt.

Classifications MeSH