Journal: Poultry Science

Article Title: Mechanism of Scutellaria baicalensis extracellular vesicles in attenuating Mycoplasma gallisepticum -induced inflammation via TRPC1 - STIM1/ORAI1 channel inhibition

doi: 10.1016/j.psj.2026.106773

Figure Lengend Snippet: Metabolomics analysis. (A) Metabolite volcano plot. The x-axis displays the log2 of fold change, while the y-axis shows the -log10 of the significance P-value. Significantly differential metabolites: those meeting FC > 2 and P value < 0.05 are depicted in orange; those meeting FC < 0.5 and P value < 0.05 are depicted in purple. Non-significant metabolites are depicted in grey. (B) Differential metabolite clustering heatmap. Relative abundance is depicted by color intensity: red indicates higher expression, blue lower expression. Columns represent samples, rows denote metabolite names. The clustering tree on the left displays differentiated metabolites. (C) Venn diagram. The sum of numbers within each circle represents the total differentiated metabolites for that comparison pair. Overlapping areas indicate metabolites common to both comparison groups. (D) Enrichment factor plot: Enrichment is measured by the Rich factor, P-value, and the number of metabolites enriched in this pathway. The Rich factor denotes the ratio of enriched differentially expressed metabolites to annotated metabolites in the pathway. A higher Rich factor indicates greater enrichment. P-values typically range from 0 to 0.05; values closer to zero denote more significant enrichment. Each point represents a metabolic pathway, with the x-axis displaying Rich factor values for different pathways and the y-axis showing the enriched pathways. Dots indicate the number of metabolites within each pathway. Color corresponds to P-value significance.

Article Snippet: In collaboration with Paisen Bio (Shanghai, China; http://www.personalbio.cn/ ), cell samples were submitted to Metabolon for non-targeted metabolomics analysis.

Techniques: Expressing, Comparison

Journal: bioRxiv

Article Title: Fecal untargeted metabolomic and short-chain fatty acid analyses in cats with chronic kidney disease

doi: 10.64898/2026.05.12.724333

Figure Lengend Snippet: Fecal gut microbiota-derived metabolite concentrations, including uremic toxins detected by untargeted metabolomics in healthy controls and cats with CKD. ( A ) Tryptophan, ( B ) indole-3-acetic acid (IAA), ( C ) p -cresol, ( D ) p -cresol sulfate, ( E ) indole, ( F ) indoxyl sulfate concentrations across healthy controls and cats with IRIS stage 1, 2a, 2b, and 3 CKD. Red lines indicate medians. In ( F ), indoxyl sulfate was below the detection limits in the majority of the fecal samples. Significance was assessed using Fisher’s LSD multiple comparisons (* P<0.05, *** P <0.001).

Article Snippet: Untargeted metabolomic analysis was performed in a commercial laboratory (Metabolon, Inc. Morrisville, NC).

Techniques: Derivative Assay

Journal: bioRxiv

Article Title: Control of Oxidative Stress and Intracellular Survival in Francisella tularensis Live Vaccine Strain (LVS) via Acyl-CoA Synthetase

doi: 10.64898/2026.05.08.723735

Figure Lengend Snippet: (A) Principal component analysis (PCA) of metabolomic profiles acquired in positive-ion (ESI+) and negative-ion (ESI−) electrospray modes. Blue circles represent wild-type F. tularensis LVS and red triangles represent the Δ FTL_0690 mutant. Ellipses denote 95% confidence intervals, and the percentage of variance explained by each principal component is indicated on the axes. (B) Relative distribution of annotated metabolite superclasses expressed as area percent for wild-type F. tularensis LVS and the Δ FTL_0690 mutant in ESI+ (left) and ESI−(right) modes. Metabolites are grouped by chemical class as indicated in the legend. (C) Volcano plots showing differential metabolite abundance between the Δ FTL_0690 mutant compared to wild-type F. tularensis LVS in ESI+ (left) and ESI− (right) datasets. Log₂ fold change (mutant versus wild type) is plotted against −Log₁₀ (p value). Significantly up-regulated (red) and down-regulated (green) metabolites are highlighted based on the indicated fold-change and significance thresholds, with unaltered metabolites shown in gray.

Article Snippet: Untargeted metabolomics analysis was performed by Creative Proteomics (Shirley, NY, USA).

Techniques: Metabolomic, Mutagenesis