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Blood metabolomic profiling reveals new targets in the management of psychological symptoms associated with severe alcohol use disorder

Leclercq, Sophie; Ahmed, Hany; Amadieu, Camille; Petit, Géraldine; Koistinen, Ville; Leyrolle, Quentin; Poncin, Marie; Stärkel, Peter; Kok, Eloise; Karhunen, Pekka J; de Timary, Philippe; Laye, Sophie; Neyrinck, Audrey M; Kärkkäinen, Olli K; Hanhineva, Kati; Delzenne, Nathalie

Blood metabolomic profiling reveals new targets in the management of psychological symptoms associated with severe alcohol use disorder

Leclercq, Sophie
Ahmed, Hany
Amadieu, Camille
Petit, Géraldine
Koistinen, Ville
Leyrolle, Quentin
Poncin, Marie
Stärkel, Peter
Kok, Eloise
Karhunen, Pekka J
de Timary, Philippe
Laye, Sophie
Neyrinck, Audrey M
Kärkkäinen, Olli K
Hanhineva, Kati
Delzenne, Nathalie
Katso/Avaa
elife-96937-v1.pdf (887.1Kb)
Lataukset: 

eLife Sciences Publications, Ltd
doi:10.7554/eLife.96937
URI
https://elifesciences.org/articles/96937
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Julkaisun pysyvä osoite on:
https://urn.fi/URN:NBN:fi-fe2025082789527
Tiivistelmä

BACKGROUND:

Alcohol use disorder (AUD) is a global health problem with limited therapeutic options. The biochemical mechanisms that lead to this disorder are not yet fully understood, and in this respect, metabolomics represents a promising approach to decipher metabolic events related to AUD. The plasma metabolome contains a plethora of bioactive molecules that reflects the functional changes in host metabolism but also the impact of the gut microbiome and nutritional habits.

METHODS:

In this study, we investigated the impact of severe AUD (sAUD), and of a 3-week period of alcohol abstinence, on the blood metabolome (non-targeted LC-MS metabolomics analysis) in 96 sAUD patients hospitalized for alcohol withdrawal.

RESULTS:

We found that the plasma levels of different lipids ((lyso)phosphatidylcholines, long-chain fatty acids), short-chain fatty acids (i.e. 3-hydroxyvaleric acid) and bile acids were altered in sAUD patients. In addition, several microbial metabolites, including indole-3-propionic acid, p-cresol sulfate, hippuric acid, pyrocatechol sulfate, and metabolites belonging to xanthine class (paraxanthine, theobromine and theophylline) were sensitive to alcohol exposure and alcohol withdrawal. 3-Hydroxyvaleric acid, caffeine metabolites (theobromine, paraxanthine, and theophylline) and microbial metabolites (hippuric acid and pyrocatechol sulfate) were correlated with anxiety, depression and alcohol craving. Metabolomics analysis in postmortem samples of frontal cortex and cerebrospinal fluid of those consuming a high level of alcohol revealed that those metabolites can be found also in brain tissue.

CONCLUSIONS:

Our data allow the identification of neuroactive metabolites, from interactions between food components and microbiota, which may represent new targets arising in the management of neuropsychiatric diseases such as sAUD.

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