Mass spectrometry imaging reveals lipid upregulation and bile acid changes indicating amitriptyline induced steatosis in a rat model.


Journal

Toxicology letters
ISSN: 1879-3169
Titre abrégé: Toxicol Lett
Pays: Netherlands
ID NLM: 7709027

Informations de publication

Date de publication:
01 Jun 2020
Historique:
received: 26 09 2019
revised: 03 02 2020
accepted: 14 02 2020
pubmed: 25 2 2020
medline: 31 3 2020
entrez: 25 2 2020
Statut: ppublish

Résumé

As a consequence of the detoxification process, drugs and drug related metabolites can accumulate in the liver, resulting in drug induced liver injury (DILI), which is the major cause for dose limitation. Amitriptyline, a commonly used tricyclic anti-depressant, is known to cause DILI. The mechanism of Amitriptyline induced liver injury is not yet completely understood. However, as it undergoes extensive hepatic metabolism, unraveling the molecular changes in the liver upon Amitriptyline treatment can help understand Amitriptyline's mode of toxicity. In this study, Amitriptyline treated male rat liver tissue was analyzed using Matrix Assisted Laser Desorption/Ionization-Mass Spectrometry Imaging (MALDI-MSI) to investigate the spatial abundances of Amitriptyline, lipids, and bile acids. The metabolism of Amitriptyline in liver tissue was successfully demonstrated, as the spatial distribution of Amitriptyline and its metabolites localize throughout treatment group liver samples. Several lipids appear upregulated, from which nine were identified as distinct phosphatidylcholine (PC) species. The detected bile acids were found to be lower in Amitriptyline treatment group. The combined results from histological findings, Oil Red O staining, and lipid zonation by MSI revealed lipid upregulation in the periportal area indicating drug induced macrovesicular steatosis (DIS).

Identifiants

pubmed: 32092452
pii: S0378-4274(20)30056-4
doi: 10.1016/j.toxlet.2020.02.007
pii:
doi:

Substances chimiques

Antidepressive Agents, Tricyclic 0
Bile Acids and Salts 0
Phosphatidylcholines 0
Amitriptyline 1806D8D52K

Types de publication

Journal Article

Langues

eng

Sous-ensembles de citation

IM

Pagination

43-50

Informations de copyright

Copyright © 2020 Elsevier B.V. All rights reserved.

Déclaration de conflit d'intérêts

Declaration of Competing Interest The authors declare no conflict of interest.

Auteurs

Judith M Kampa (JM)

Proteome and Metabolome Research, Center for Biotechnology (CeBiTec), Faculty of Biology, Bielefeld University, Bielefeld, Germany.

Mikail Sahin (M)

Proteome and Metabolome Research, Center for Biotechnology (CeBiTec), Faculty of Biology, Bielefeld University, Bielefeld, Germany.

Markus Slopianka (M)

Metabolic Profiling and Clinical Pathology, Investigational Toxicology, Pharmaceuticals Division, Bayer AG, Berlin, Germany.

Marco Giampà (M)

Proteome and Metabolome Research, Center for Biotechnology (CeBiTec), Faculty of Biology, Bielefeld University, Bielefeld, Germany.

Hanna Bednarz (H)

Proteome and Metabolome Research, Center for Biotechnology (CeBiTec), Faculty of Biology, Bielefeld University, Bielefeld, Germany.

Rainer Ernst (R)

Metabolic Profiling and Clinical Pathology, Investigational Toxicology, Pharmaceuticals Division, Bayer AG, Berlin, Germany.

Bjoern Riefke (B)

Metabolic Profiling and Clinical Pathology, Investigational Toxicology, Pharmaceuticals Division, Bayer AG, Berlin, Germany.

Karsten Niehaus (K)

Proteome and Metabolome Research, Center for Biotechnology (CeBiTec), Faculty of Biology, Bielefeld University, Bielefeld, Germany.

Amol Fatangare (A)

Metabolic Profiling and Clinical Pathology, Investigational Toxicology, Pharmaceuticals Division, Bayer AG, Berlin, Germany. Electronic address: amol.fatangare@gmail.com.

Articles similaires

Smoking Cessation and Incident Cardiovascular Disease.

Jun Hwan Cho, Seung Yong Shin, Hoseob Kim et al.
1.00
Humans Male Smoking Cessation Cardiovascular Diseases Female
Humans United States Aged Cross-Sectional Studies Medicare Part C
1.00
Humans Yoga Low Back Pain Female Male
Humans Meals Time Factors Female Adult

Classifications MeSH