Metabolomics in Scalp Seborrheic Dermatitis Evidenced Key Changes in Inflammatory Markers Following a 10-Week Scalp Care Scheme with an Anti-dandruff Shampoo.

Plasma metabolomic profiling of patients with transient ischemic attack reveals positive role of neutrophils in ischemic tolerance

BackgroundThis study assessed the long-term metabolic effects of prenatal nutrition in Nelore bulls through an integrated analysis of metabolome and microbiome data to elucidate the interconnected host-microbe metabolic pathways. To this end, a total of 126 cows were assigned to three supplementation strategies during pregnancy: NP (control)– only mineral supplementation; PP– protein-energy supplementation during the last trimester; and FP– protein-energy supplementation throughout pregnancy. At the end of the finishing phase, blood, fecal, and ruminal fluid samples were collected from 63 male offspring. The plasma underwent targeted metabolomics analysis, and fecal and ruminal fluid samples were used to perform 16 S rRNA gene sequencing. Metabolite and ASV (amplicon sequence variant) co-abundance networks were constructed for each treatment using the weighted gene correlation network analysis (WGCNA) framework. Significant modules (p ≤ 0.1) were selected for over-representation analyses to assess the metabolic pathways underlying the metabolome (MetaboAnalyst 6.0) and the microbiome (MicrobiomeProfiler). To explore the metabolome-metagenome interplay, correlation analyses between host metabolome and microbiome were performed. Additionally, a holistic integration of metabolic pathways was performed (MicrobiomeAnalyst 2.0).ResultsA total of one and two metabolite modules associated with the NP and FP were identified, respectively. Regarding fecal microbiome, three, one, and two modules for the NP, PP, and FP were identified, respectively. The rumen microbiome demonstrated two modules correlated with each of the groups under study. Metabolite and microbiome enrichment analyses revealed the main metabolic pathways associated with lipid and protein metabolism, and regulatory mechanisms. The correlation analyses performed between the host metabolome and fecal ASVs revealed 13 and 12 significant correlations for NP and FP, respectively. Regarding the rumen, 16 and 17 significant correlations were found for NP and FP, respectively. The NP holistic analysis was mainly associated with amino acid and methane metabolism. Glycerophospholipid and polyunsaturated fatty acid metabolism were over-represented in the FP group.ConclusionsPrenatal nutrition significantly affected the plasma metabolome, fecal microbiome, and ruminal fluid microbiome of Nelore bulls, providing insights into key pathways in protein, lipid, and methane metabolism. These findings offer novel discoveries about the molecular mechanisms underlying the effects of prenatal nutrition.Clinical trial numberNot applicable.

Integrated analysis of metabolomic and transcriptomic profiles elucidates the core role of glycerophospholipid metabolism in hypertension related to metabolic syndrome

We studied the long-chain conversion of [U-13C]alpha-linolenic acid (ALA) and linoleic acid (LA) and responses of erythrocyte phospholipid composition to variation in the dietary ratios of 18:3n-3 (ALA) and 18:2n-6 (LA) for 12 weeks in 38 moderately hyperlipidemic men. Diets were enriched with either flaxseed oil (FXO; 17 g/day ALA, n=21) or sunflower oil (SO; 17 g/day LA, n=17). The FXO diet induced increases in phospholipid ALA (>3-fold), 20:5n-3 [eicosapentaenoic acid (EPA), >2-fold], and 22:5n-3 [docosapentaenoic acid (DPA), 50%] but no change in 22:6n-3 [docosahexanoic acid (DHA)], LA, or 20:4n-6 [arachidonic acid (AA)]. The increases in EPA and DPA but not DHA were similar to those in subjects given the SO diet enriched with 3 g of EPA plus DHA from fish oil (n=19). The SO diet induced a small increase in LA but no change in AA. Long-chain conversion of [U-13C]ALA and [U-13C]LA, calculated from peak plasma 13C concentrations after simple modeling for tracer dilution in subsets from the FXO (n=6) and SO (n=5) diets, was similar but low for the two tracers (i.e., AA, 0.2%; EPA, 0.3%; and DPA, 0.02%) and varied directly with precursor concentrations and inversely with concentrations of fatty acids of the alternative series. [13C]DHA formation was very low (<0.01%) with no dietary influences.

Anandamide (arachidonylethanolamide) is known as an endogenous agonist for cannabinoid receptors. An amidohydrolase, which hydrolyzed anandamide, was solubilized from the microsomal fraction of porcine brain with 1% Triton X-100. The enzyme was partially purified by Phenyl-5PW hydrophobic chromatography to a specific activity of approximately 0.37 mumol/min/mg of protein at 37 degrees C. As assayed with 14C-labeled substrates, the apparent Km value for anandamide was 60 microM, and anandamide was more active than ethanolamides of linoleic, oleic, and palmitic acids. Ceramidase and protease activities were not detected in our enzyme preparation. The purified enzyme also synthesized anandamide from free arachidonic acid in the presence of a high concentration of ethanolamine with a specific activity of about 0.16 mumol/min/mg of protein at 37 degrees C. On the basis of cochromatographies, pH dependence, heat inactivation, and effects of inhibitors such as arachidonyl trifluoromethyl ketone, p-chloromercuribenzoic acid, diisopropyl fluorophosphate, and phenylmethylsulfonyl fluoride, it was suggested that the anandamide amidohydrolase and synthase activities were attributable to a single enzyme protein.

Insight into the effect of a heavy metal mixture on neurological damage in rats through combined serum metabolomic and brain proteomic analyses

New insights into the physiological effects of structural environmental enrichment on black sea bream (Acanthopagrus schlegelii) based on a combined analysis of transcriptomics and metabolomics

Simple SummaryHepatocellular carcinoma (HCC) is one of the diseases associated with human microbiome. The human microbiome is known to affect human disease through the metabolites. The aim of this study was to identify the pathways associated with HCC by integrating microbiome and metabolomic data via a novel pathway-based integrative method named HisCoM-MnM representing Hierarchical structural Component Model for pathway analysis of Microbiome and Metabolome. Application of HisCoM-MnM to datasets from HCC and liver cirrhosis (LC) patients successfully identified HCC-related pathways related to cancer metabolic reprogramming along with the significant metabolome and metagenome that make up those pathways.Aberrations of the human microbiome are associated with diverse liver diseases, including hepatocellular carcinoma (HCC). Even if we can associate specific microbes with particular diseases, it is difficult to know mechanistically how the microbe contributes to the pathophysiology. Here, we sought to reveal the functional potential of the HCC-associated microbiome with the human metabolome which is known to play a role in connecting host phenotype to microbiome function. To utilize both microbiome and metabolomic data sets, we propose an innovative, pathway-based analysis, Hierarchical structural Component Model for pathway analysis of Microbiome and Metabolome (HisCoM-MnM), for integrating microbiome and metabolomic data. In particular, we used pathway information to integrate these two omics data sets, thus providing insight into biological interactions between different biological layers, with regard to the host’s phenotype. The application of HisCoM-MnM to data sets from 103 and 97 patients with HCC and liver cirrhosis (LC), respectively, showed that this approach could identify HCC-related pathways related to cancer metabolic reprogramming, in addition to the significant metabolome and metagenome that make up those pathways.

Hyperglycemia leads to increased oxidative stress in mitochondria, an abnormal activation of intracellular inflammatory signals, and mediate multiple dysfunctions. Raspberry ketone (RK) is an aromatic phenolic compound found in many plants and could contribute to weight loss, restore impaired glucose tolerance, and has antioxidant properties. In our investigation, RK could greatly prevent islet, brain and other tissue damage caused by hyperglycemia in a zebrafish model with streptozotocin (STZ)-induced hyperglycemia. Body weight, insulin level, and food intake indexes were also restored by RK. Using transcriptome profiling, we found that RK administration could significantly attenuate STZ-induced insulin synthesis and pancreatic secretion as well as alter protein and carbohydrate metabolism. Metabolomics analysis results showed that RK could also prevent STZ-induced metabolic disorders, such as adenosine and sphingolipid metabolism. Integrative analysis of metabolome and transcriptome data and qRT-PCR validation of key metabolic regulatory genes (glut1, glut2, ctrb1, ccka, gck, pklr) confirmed that the purine pathway was the most enriched metabolic pathway, in which both metabolite accumulation and gene expression levels showed consistent change patterns upon RK treatment. Our study provides a new perspective for understanding the hypoglycemic mechanism of RK and may be helpful for investigating the modes of action of hypoglycemic drugs using the zebrafish hyperglycemia model.

The mechanism of selenomethionine alleviating fluoride-induced brain injury in carp by regulating mitochondrial dynamics, oxidative stress and neuroinflammation: Integrated analysis of transcriptomics and metabolomics.

Scalp seborrheic dermatitis (SD) can cause physical discomfort and social embarrassment in affected individuals. Mild-to-moderate scalp SD can be managed using topical products with antifungal, antiinflammatory, and keratolytic properties. A two-phase, randomized, controlled study was conducted to evaluate the clinical efficacy of a newly formulated anti-SD shampoo containing two patented antifungal actives and to investigate the associated changes in the scalp microbiota. The intervention involved a 2-week intensive phase for the 42 subjects included in the study, consisting of the application of the anti-SD shampoo three times a week; a randomized [1:1], controlled, parallel-group 8-week maintenance phase consisting of the test group applying the study shampoo once a week alternately with a neutral shampoo twice a week; and the control group applying the neutral shampoo alone three times a week. Following the intensive phase, the scalp condition improved substantially, as evidenced by a significant decrease in the severity of dandruff, erythema, and pruritus, associated with an improvement of SD dysbiosis. These improvements were more sustained in the test group than in the control group during the maintenance phase. The rediversification of the scalp microbiota involved a significant increase in fungal and bacterial richness along with a decrease in the level of SD-predominant Malassezia fungi and Staphylococcus bacteria and an increase in the level of low-abundant fungi genera belonging to the Ascomycota phylum. The synergistic effects of antimycotic and antiinflammatory agents in the study shampoo likely contributed to rebalancing the fungal and bacterial ecosystem, thus improving scalp symptoms. NCT06578962 (retrospectively registered on 28 August 2024).

Salt stress is a major environmental factor that constrains soybean growth, development, and productivity. Flavonoids are key secondary metabolites that play a crucial role in enhancing plant resistance to both biotic and abiotic stress. However, a comprehensive understanding of the regulatory mechanisms underlying flavonoid biosynthesis under salt stress in soybean is lacking. In this study, an integrative analysis of soybean metabolome and transcriptome was conducted using two soybean lines, FQ03 (salt-sensitive, SS) and FQ07 (salt-tolerant, ST). A total of 650 significantly changed metabolites were identified in SS and ST after salt stress treatment. Among them, 151 flavonoids were categorized into nine classes, with flavones and flavonols being the predominant flavonoid types in soybean. Heatmap analysis showed higher contents of most flavonoid metabolites in ST than in SS under salt stress, and the total flavonoid content in ST was significantly higher than that in SS. In addition, transcriptome analysis revealed a higher number of differentially expressed genes (DEGs) in ST than in SS under salt stress. KEGG enrichment analysis revealed that DEGs were mainly enriched in pathways related to phenylpropanoid biosynthesis, isoflavonoid biosynthesis, flavonoid biosynthesis, as well as flavone and flavonol biosynthesis. Notably, 55 DEGs that were mapped to the flavonoid biosynthetic pathway were identified, with most showing higher expression levels in ST than in SS. Weighted gene correlation network analysis identified eight structural genes and six transcription factor genes as key regulators of flavonoid biosynthesis within the blue module. Furthermore, qRT-PCR results confirmed the accuracy of the transcriptomic data and reliability of the identified candidate genes. This study provides insights into the regulatory mechanisms underlying salt stress responses in soybean and highlights hub genes as potential targets for developing salt-tolerant soybean varieties.

Integrative analysis of transcriptome and metabolome reveals the possible mechanism of leaf yellowing in pak choi (Brassica rapa subsp. chinensis) with 1-methylcyclopropene treatment during storage at 20 °C

Camellia sinensis is an industrial crop characterized by specific secondary metabolites, which provide numerous benefits to human health. Previous researches reveal that the secondary metabolism of tea plants is significantly affected by various environmental factors, especially light intensity. However, the epigenetic mechanism underlying these high light-induced changes remains systematic research. In this study, physiological analysis suggested that increased photosynthetic product was rapidly converted into other organic compounds in adaptation to high light. The metabolite landscape by widely targeted metabolome revealed 219 differentially accumulated metabolites (DAMs) in high light, with substantial upregulated DAMs accumulated in 'amino acids and derivatives' and 'alkaloids'. The landscape of nine crucial histone modifications showed the distribution diversity in the genome and the complex relationship with gene expression. Integrated analysis of stomatal development, metabolome, epigenome, and transcriptome indicated that the dynamics of histone modifications (H3K4ac, H3K4me3, H3K9ac, H3K9me2, H3K27ac, and H3K27me3) on gene regions were closely related to the expression of regulatory genes in stomatal development and enzyme genes in secondary metabolic pathways, leading to stomatal density and metabolite changes in high light. Furthermore, H3K27ac and H3K27me3 were identified as key histone modifications, regulating critical genes under high light, including CsEPFL9, CsYODAb, CsF3'Hb, CsCHSc, CsANRa, CsDFRb-2, CsAlaDC, CsAAP1, CsGGT2, CsXMPP, Cs7-NMT, CsPORC, and CsPSY. These results suggest the pivotal role of histone modifications in the high light-induced stomatal density and secondary metabolite changes of tea plants.

Integrated analysis of blood-absorbed components, metabolomics, and transcriptomics reveals Tianshu Capsule's effective components and mechanisms.