Resveratrol influences pulmonary mechanics and inflammatory response in a porcine ARDS model.


Journal

Life sciences
ISSN: 1879-0631
Titre abrégé: Life Sci
Pays: Netherlands
ID NLM: 0375521

Informations de publication

Date de publication:
15 Apr 2023
Historique:
received: 04 11 2022
revised: 29 12 2022
accepted: 15 01 2023
pubmed: 22 1 2023
medline: 22 3 2023
entrez: 21 1 2023
Statut: ppublish

Résumé

Influencing the inflammatory response represents an important branch in ARDS research. The naturally occurring polyphenol derivative resveratrol has already been confirmed to have strong anti-inflammatory effects on the cardiac and metabolic system. In the present study, we investigated the propagated anti-inflammatory effects of intravenous resveratrol in a porcine ARDS model. 20 domestic pigs (30 ± 2 kg; approval G20-1-135), divided into three groups: 1. resveratrol high dose (HD; n = 8), single bolus of 20 mg/kg over 15 min. 2. resveratrol low dose (LD; n = 8), single bolus of 10 mg/kg over 15 min. 3. Vehicle (n = 4), with the carrier solution DMSO over 15 min administered after ARDS induction. ARDS induction: using BAL/oleic acid and a subsequent test period of 8 h. Measurement parameters: Hemodynamics/spirometry data were collected continuously, BGA/laboratory parameters repetitively. Post-mortem: analysis of pulmonary inflammatory markers. Two-way analysis of variance (repeated measurement) and Student-Newman-Keuls method. Resveratrol HD significantly reduced the expression of TNF-alpha in lung tissue compared to the LD group (p < 0.05). A significantly increased functional residual capacity (FRC) could be demonstrated for the HD group at the end of the test (p < 0.05 for HD vs. LD/vehicle). Further, resveratrol HD reduced statistically the EVLWI compared to LD/vehicle (p < 0.05 at T4/T8). In this study, resveratrol HD ameliorated pulmonary mechanics as reported for the FRC and EVLWI. Further, the proposed anti-inflammatory effects of resveratrol, a significant reduction in the expression of TNF-alpha was observed in the HD group.

Identifiants

pubmed: 36681185
pii: S0024-3205(23)00044-9
doi: 10.1016/j.lfs.2023.121410
pii:
doi:

Substances chimiques

Resveratrol Q369O8926L
Tumor Necrosis Factor-alpha 0
Anti-Inflammatory Agents 0

Types de publication

Journal Article

Langues

eng

Sous-ensembles de citation

IM

Pagination

121410

Informations de copyright

Copyright © 2023 The Authors. Published by Elsevier Inc. All rights reserved.

Déclaration de conflit d'intérêts

Declaration of competing interest René Rissel worked as an editor for Life Sciences. The other authors declare that they have no competing interests.

Auteurs

René Rissel (R)

Department of Anaesthesiology, Medical Centre of the Johannes Gutenberg-University, Mainz, Germany. Electronic address: Rene.Rissel@unimedizin-mainz.de.

Louisa Kirchner (L)

Department of Anaesthesiology, Medical Centre of the Johannes Gutenberg-University, Mainz, Germany.

Miriam Renz (M)

Department of Anaesthesiology, Medical Centre of the Johannes Gutenberg-University, Mainz, Germany. Electronic address: Miriam.Renz@unimedizin-mainz.de.

Katja Mohnke (K)

Department of Anaesthesiology, Medical Centre of the Johannes Gutenberg-University, Mainz, Germany. Electronic address: Katja.Mohnke@uni-mainz.de.

Julian Riedel (J)

Department of Anaesthesiology, Medical Centre of the Johannes Gutenberg-University, Mainz, Germany. Electronic address: Julian.Riedel@unimedizin-mainz.de.

Robert Ruemmler (R)

Department of Anaesthesiology, Medical Centre of the Johannes Gutenberg-University, Mainz, Germany. Electronic address: Robert.ruemmler@email.de.

Erik K Hartmann (EK)

Department of Anaesthesiology, Medical Centre of the Johannes Gutenberg-University, Mainz, Germany. Electronic address: hartmane@uni-mainz.de.

Jens Kamuf (J)

Department of Anaesthesiology, Medical Centre of the Johannes Gutenberg-University, Mainz, Germany. Electronic address: kamuf@uni-mainz.de.

Alexander Ziebart (A)

Department of Anaesthesiology, Medical Centre of the Johannes Gutenberg-University, Mainz, Germany. Electronic address: alexander.ziebart@unimedizin-mainz.de.

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Classifications MeSH