Evidence map›Paper›PMID 42884116›Full record

ArticleInternational journal of molecular sciences2026

Pathway-Level Synthesis Reveals Contrast-Dependent Rat Brain Transcriptomic Responses to Alcohol.

Hongrun An, Jie Yu, Chunxue Shao, Deyu Meng, Guang Yang, Ziheng Wang

Abstract read
In one paragraph

Article in International journal of molecular sciences, 2026. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

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1 · What the graph read from it

What it found

Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.

The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.

2 · The registry

The trial behind it

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3 · Its place in the literature

Who cites it

0 citing papers in PubMed.

No citing paper in PubMed yet.

4 · The record

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PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

6 authors.

Hongrun AnDivision of Computational Biology, Chinese Center of Exercise Epidemiology, Northeast Normal University, Changchun 130024, China.
Jie YuDivision of Computational Biology, Chinese Center of Exercise Epidemiology, Northeast Normal University, Changchun 130024, China.
Chunxue ShaoDivision of Computational Biology, Chinese Center of Exercise Epidemiology, Northeast Normal University, Changchun 130024, China.
Deyu MengDivision of Computational Biology, Chinese Center of Exercise Epidemiology, Northeast Normal University, Changchun 130024, China.ORCID 0000-0002-3270-9829
Guang YangDivision of Computational Biology, Chinese Center of Exercise Epidemiology, Northeast Normal University, Changchun 130024, China.ORCID 0000-0001-7236-7483
Ziheng WangDivision of Computational Biology, Chinese Center of Exercise Epidemiology, Northeast Normal University, Changchun 130024, China.ORCID 0000-0002-3953-0493

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Public rat brain transcriptomic studies differ in sampled region and alcohol paradigm, which complicates assessment of reproducible molecular responses. We assembled 12 datasets, including four primary region-resolved datasets (64 samples) from the hippocampus, ventral tegmental area, amygdala, and nucleus accumbens. Each dataset was analyzed separately and projected onto predefined addiction-related, exercise-related, and stress-related pathway axes; only aligned contrast-level effects were synthesized across datasets. In the closest available two-dataset comparison, both studies used adult male Sprague-Dawley rats, chronic liquid-diet exposure, and 24 h withdrawal. Withdrawal versus control showed directional agreement for all three original axes and their three deterministic derived indices, whereas chronic ethanol versus control agreed for only one of these six summaries. The derived indices do not constitute independent replication, and this two-study result is interpreted as contrast-specific directional concordance under similar protocols without identifying brain region as its cause. Across the broader alcohol-domain resource, effects occupied both directions and showed substantial between-contrast dispersion, defining a boundary to generalization rather than a universal alcohol response. The central interpretation was materially unchanged by alternative scoring algorithms, pathway catalogs, or cluster-balanced reanalysis of overlapping pathways; at a pathway-overlap (Jaccard similarity) threshold of 0.5, the latter preserved sample-level rankings (median Spearman ρ=0.983) and 76 of 78 pairwise effect directions. These results provide a reproducible framework for distinguishing local convergence from broader context dependence in rat alcohol transcriptomics. Candidate biomarkers should therefore be evaluated in harmonized exposure, withdrawal, region, sex, and species settings before translational interpretation.

Indexed as

BrainEthanolTranscriptomeAnimalsGene Expression ProfilingMaleRatsRats, Sprague-DawleySubstance Withdrawal SyndromeEthanolbrain regionethanolmeta-analysispathway analysissensitivity analysistranscriptomicswithdrawal

Identifiers

PMID42884116
PMCPMC13665134

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Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.