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. 2024 Sep 6;30(1):310–326. doi: 10.1038/s41380-024-02719-x

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© The Author(s) 2024

Open Access This article is licensed under a Creative Commons Attribution-NonCommercial-NoDerivatives 4.0 International License, which permits any non-commercial use, sharing, distribution and reproduction in any medium or format, as long as you give appropriate credit to the original author(s) and the source, provide a link to the Creative Commons licence, and indicate if you modified the licensed material. You do not have permission under this licence to share adapted material derived from this article or parts of it. The images or other third party material in this article are included in the article’s Creative Commons licence, unless indicated otherwise in a credit line to the material. If material is not included in the article’s Creative Commons licence and your intended use is not permitted by statutory regulation or exceeds the permitted use, you will need to obtain permission directly from the copyright holder. To view a copy of this licence, visit http://creativecommons.org/licenses/by-nc-nd/4.0/.

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Fig. 1 — Systematic literature screening of PubMed and EMBASE to retrieve transcriptome-wide expression datasets derived from (B) postmortem brain tissue of deceased AUD patients and controls, C from CIE rodents, and D from monkeys that had long-term intermittent voluntary alcohol consumption. A General structure for the keyword design for systematic literature research (B) PRISMA workflow for the screening of human studies. Before the screening procedure, duplicates due to overrepresentation in the two databases screened were removed by using EndNote. The template for overview of the screening procedure and the resulting studies was taken from www.prisma-statement.org. Eventually, we identified ten human postmortem studies matching our criteria [22, 120–128] (C) PRISMA workflow for the screening of rodent studies resulted in five studies to include [129–133] (D) PRISMA workflow for the screening of monkey studies identified two studies to include in the meta-analysis [134, 135]. In addition, unpublished data were kindly provided by Dr. Kathleen A. Grant and Dr. Suzanne Fei. E General workflow of the meta-analysis pipeline with the respective packages used for the statistical software R.