FIGURE

Fig. 1

ID
ZDB-FIG-250603-49
Publication
Grzymala et al., 2025 - Metabolomic and lipidomic profiling reveals convergent pathways in attention deficit hyperactivity disorder therapeutics: Insights from established and emerging treatments
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Fig. 1

adgrl3.1 mutants and WTs have distinct whole-body metabotypes. (A) Principal component (PC) analysis score plot differentiating metabolomes of adgrl3.1 mutant (red) and WT (blue) zebrafish larvae. The 2 components explained 81.4% of the overall variation, showing clear separation between groups. Each group consisted of 3 biological replicates, with 50 pooled larvae per replicate. (B) Volcano plot of identified metabolites. Blue dots indicate significant downregulation, red dots significant upregulation, and gray dots nonsignificant changes. Comparison between adgrl3.1 mutants and WTs revealed 4 differential metabolites, 2 downregulated and 2 upregulated. Differential metabolites were identified through an FC of ≥1.2 or ≤0.83 and an FDR-adjusted P value of ≤.05. (C) Metabolic pathways detected in adgrl3.1 mutant and WT zebrafish larvae. Five metabolic pathways were classified as both statistically significant (P ≤ .05) and high-impact (impact factor ≥0.5); these pathways are marked with their names. Significantly altered pathways were identified through quantitative enrichment analysis using the KEGG pathway database. (D) Volcano plot of identified lipids. Blue dots indicate significant downregulation, red dots significant upregulation, and gray dots nonsignificant changes. Comparison between adgrl3.1 mutants and WTs revealed 10 significantly altered lipids, 3 downregulated and 7 upregulated. Significantly altered lipids were identified through an FC of ≥1 or ≤0.5 and an FDR-adjusted P value of ≤.05.

Expression Data

Expression Detail
Antibody Labeling
Phenotype Data
Fish:
Observed In:
Stage: Day 6

Phenotype Detail
Acknowledgments
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