PubMed
Combined metabolomics and network pharmacology to elucidate the mechanisms of Huiyang Shengji decoction in treating diabetic skin ulcer mice
Phytomedicine. 2025 Mar 11;141:156569. doi: 10.1016/j.phymed.2025.156569. Online ahead of print.ABSTRACTBACKGROUND: Diabetic skin ulcer is a clinical disorder of glucose metabolism that has a long treatment period and is prone to recurrent episodes. Huiyang Shengji decoction (HYSJD) is an effective traditional Chinese medicine for its clinical treatment, but its metabolic effects in patients with diabetic skin ulcers have not been well studied.PURPOSE: Our study aimed to investigate the mechanism of pharmacological treatment of HYSJD in treating diabetic skin ulcers.METHODS: The potential mechanism underlying diabetic wound treatment by HYSJD was screened using network pharmacology. Ultra-high performance liquid chromatography-MS/MS metabolomics analysis and correlation analysis were performed to investigate potential target pathways and genes. Furthermore, the db/db diabetic wound tissues and RAW264.7 macrophage inflammation model verified the mechanism using molecular biology experiments.RESULTS: In network pharmacology, HYSJD played a mainly therapeutic effect by regulating PI3K/AKT signaling pathway, EGFR tyrosine kinase inhibitor resistance, metabolic pathway, and other related metabolic-related pathways. Metabolomics analysis disclosed that L-lysine content increased, while those of linoleic and deoxycholic acids decreased in plasma between the HYSJD-treated group and the control group, participating in biotin metabolism. Among them, PPARγ played an important role. The experiments conducted in db/db mice indicated that HYSJD facilitates VEGF secretion and PPARγ expression. In vitro experiments have revealed that HYSJD inhibits macrophage ROS production, augments mitochondrial ATP production, elevates mitochondrial membrane potential, and diminishes the mitochondrial ECAR rate. Furthermore, these effects culminate in promoting M2 macrophage polarization through PPARγ activation. The molecular docking results revealed that the active compounds from HYSJD were capable of binding to PPARγ protein primarily through hydrogen bonding interactions. Notably, all binding energies were found to be lower than -3 kcal/mol, indicating strong and favorable interactions between the active compounds and the target receptor.CONCLUSIONS: The findings suggested that HYSJD regulates biotin metabolism by reducing excess levels of linoleic and deoxycholic acids and increasing levels of L-lysine, which in turn promotes diabetic wound healing by promoting M2 macrophage polarization through PPARγ up-regulation. These findings indicated that HYSJD is a decoction that can effectively treat diabetic skin ulcers.PMID:40120541 | DOI:10.1016/j.phymed.2025.156569
Revealing the gastric protective mechanism of Physochlaina physaloides (L) G. Don. with clinical orientation: PPAR/NF-κB signalling pathway activation
Phytomedicine. 2025 Mar 16;141:156642. doi: 10.1016/j.phymed.2025.156642. Online ahead of print.ABSTRACTBACKGROUND: Gastrointestinal diseases are global health issues. Current drugs for gastrointestinal diseases cause discomfort and toxicity; consequently, the use of traditional medicines and their extracts has gained attention in recent years. Physochlaina physaloides (L) G. Don. (P. physaloides) is traditionally used for diarrhoea and gastroenteritis; however, its material basis and mechanism of action for gastric injury have not been fully studied.PURPOSE: This study aims to explore P. physaloides and their protective effects on gastric injury, together with the potential mechanisms.STUDY DESIGN AND METHODS: We constructed chronic gastritis and gastric ulcer models in rats using 56 % ethanol and anhydrous ethanol, respectively. Additionally, we screened gastric injury pathways via transcriptomics and the gene expression omnibus (GEO) database. Subsequently, we constructed an ethanol-stimulated GES-1 cell model and screened the active fraction of P. physaloides based on the cell survival rate and antioxidant activity. The effect of the active fraction of P. physaloides was investigated via tissue structure (HE staining), mucus secretion (PAS staining), anti-inflammatory activity, antioxidant activity, and gastric acid secretion levels. We employed liquid chromatography-tandem mass spectrometry (LC-MS/MS) to determine the active components of P. physaloides and the drug components in blood, before investigating the mechanisms via immunofluorescence, transcriptomic, metabolomics, network pharmacology, molecular docking, qRT-PCR, western blotting, and flow cytometry.RESULTS: The occurrence of gastritis, gastric ulcer, and gastric cancer is related to the PPAR/NF-κB signalling pathway, with decreased expression of FABP3 and PPARγ, and increased expression of Bcl-2 and TNF-α. The n-butanol fraction of P. physaloides (BPP) showed significant improvement in cell survival and antioxidant activity in vitro. BPP also alleviated inflammation and oxidative stress in rat models, including by upregulating CAT, GSH, SOD, IL-10, PGE2; downregulating VEGFA, IL-6, IL-8, TNF-α, and NO; improving pathological damage; restoring mucus levels; and reducing gastric acid secretion and macrophage expression. BPP and its active components, anisodamine and hyoscyamine, upregulated the expression of PPARα, PPARγ, CPT1, and FABP3, and downregulated NF-κB p65, thereby regulating the PPAR/NF-κB signalling pathway for gastroprotection. The BPP and its active components did not significantly increase the expression of GPX4 and SLC7A11, nor did they reduce the production of ROS. Therefore, their effects are unrelated to ferroptosis.CONCLUSION: This study provides the first evidence of the effectiveness of BPP in the prevention of gastric ulcers and treatment of chronic gastritis. We adopted a multidisciplinary approach to demonstrate that BPP and its active components, anisodamine and hyoscyamine, protect against ethanol-induced gastric injury by regulating the PPAR/NF-κB and non-ferroptotic cell death pathways. BPP and its active components can target PPARγ and FABP3 and may have clinical application prospects to prevent gastric injury, which has unique advantages. These findings provide a scientific foundation for gastroprotection and expand the clinical applications of BPP.PMID:40120539 | DOI:10.1016/j.phymed.2025.156642
Impact of ultrasound on the quality of tender coconut water during storage revealed by LC-MS-based metabolomics, HS-SPME-GC-MS and E-tongue
Ultrason Sonochem. 2025 Mar 15;116:107313. doi: 10.1016/j.ultsonch.2025.107313. Online ahead of print.ABSTRACTTender coconut water (TCW) refers to the liquid endosperm of coconut developed in 6-9 months, which is prone to deterioration during postharvest storage. This study explored the impact of ultrasound (20 kHz, 2400 w and 20 min) on the quality of TCW during postharvest storage. Results showed that ultrasound was effective in preserving the quality of TCW. Especially at the end of storage (15 d), TSS value was increased by 18.38%, titratable acid was increased by 25.17%, turbidity was decreased by 10.58%, and soluble sugar and reducing sugar content were increased by 23.36% and 45.77%, respectively. According to HS-SPME-GC-MS results, a total of 28 volatile organic compounds were identified and the content of volatile organic compounds in TCW showed no significant difference before and after ultrasonic treatment. The E-tongue data demonstrated that ultrasound could effectively affect the taste of TCW, especially enhanced the astringency, aftertaste-A and aftertaste-B values. A total of 56 compounds were identified as differentially expressed metabolites by LC-MS based metabolomics, which were mainly connected with the tricarboxylic acid cycle and flavonoid biosynthesis pathway. These findings provide valuable insights into the potential use of ultrasound in the storage and preservation of other fruits.PMID:40120342 | DOI:10.1016/j.ultsonch.2025.107313
Quorum sensing luxI/R genes enhances cadmium detoxification in Aeromonas by up-regulating EPS production and cadmium resistance genes
J Hazard Mater. 2025 Mar 17;491:137959. doi: 10.1016/j.jhazmat.2025.137959. Online ahead of print.ABSTRACTThe increasing cadmium (Cd) contamination in the environment poses a serious threat to ecosystem health and human safety. This study investigated the roles of quorum sensing (QS) genes luxI/R, key components of the QS system, in the Cd accumulation and detoxification in Aeromonas. Pan-genome analysis showed that luxI/R and Cd resistance genes were highly conserved in Aeromonas species. Strains of luxI/R knockout, complementation and overexpression were constructed via homologous recombination. The luxI/R deletion significantly reduced Cd removal by up to 32 %, decreased extracellular protein (18-36 %) and polysaccharide (19-33 %) contents, whereas luxI/R overexpression enhanced Cd removal capacity by 11 %. Transcriptomic and metabolomic analyses further revealed coordinated changes. In the ΔluxI/R strain, genes involved in assimilatory sulfate reduction and arginine biosynthesis were downregulated, accompanied by reduced levels of glycerophospholipid, vitamin, and cytochrome P450-related metabolites. In contrast, luxI/R overexpression upregulated arginine synthesis (2.0-3.5 fold) and sulfate assimilation (1.4-2.4 fold) genes, with corresponding increases of metabolites. Together these findings demonstrate that luxI/R genes may play a crucial role in regulation of EPS production and Cd resistance gene expression, thus enhancing our understanding of microbial Cd detoxification mechanisms.PMID:40120273 | DOI:10.1016/j.jhazmat.2025.137959
Branched perfluorohexanesulfonic acid (PFHxS) and perfluoroheptanoic acid (PFHpA): 'Safer' per- and polyfluoroalkyl substances (PFASs) alternatives for their effects on gut microbiota and metabolic function in children
Environ Int. 2025 Mar 16;198:109380. doi: 10.1016/j.envint.2025.109380. Online ahead of print.ABSTRACTThis study examined the effects of branched perfluorohexanesulfonic acid (PFHxS) and perfluoroheptanoic acid (PFHpA), two alternatives to per- and polyfluoroalkyl substances (PFASs), on gut microbiota and metabolic function in Chinese children aged 6-9 years. A total of 336 children were enrolled, providing plasma and fecal samples. Gut microbiota composition was assessed through 16S rRNA gene sequencing, and fecal metabolites and short-chain fatty acids (SCFAs) were analyzed using targeted metabolomics profiling and high-performance liquid chromatography (HPLC), respectively. PFASs in plasma samples were detected using ultra-performance liquid chromatography-tandem mass spectrometry (UPLC-MS/MS). The results revealed that exposure to PFHpA significantly reduced microbial diversity and richness in the gut microbiota. Specific bacterial genera were found to be positively or negatively associated with branched PFHxS and PFHpA exposures (β = -0.008---0.009, P_fdr = <0.001---0.048), with Parabacteroides positively correlated with branched PFHxS and Lachnospiraceae FCS020 group negatively correlated with PFHpA. Metabolomic analysis showed that branched PFHxS and PFHpA exposures were associated with distinct changes in fecal metabolite profiles (β = -0.182---0.177, P_fdr = 0.015---0.172), particularly reducing fatty acids and amino acids. Additionally, higher exposure to PFHpA was linked to a reduction in SCFA profiles, such as valeric acid (β = -0.691 - -0.341, P = 0.011---0.030). This study offers new insights into the potential adverse effects of PFASs alternatives, specifically branched PFHxS and PFHpA, on the gut microbiome and metabolic health in children.PMID:40120233 | DOI:10.1016/j.envint.2025.109380
Analysis of intestinal metabolites in Litopenaeus vannamei infected with white faeces syndrome based on untargeted metabolomics
Comp Biochem Physiol Part D Genomics Proteomics. 2025 Mar 1;55:101462. doi: 10.1016/j.cbd.2025.101462. Online ahead of print.ABSTRACTWhite faeces syndrome (WFS) has always been one of the main intestinal diseases of Litopenaeus vannamei, which has caused huge economic losses to shrimp farming. WFS infection is known to result from a combination of pathogens, but the changes in intestinal metabolites following WFS infection are unknown. In this study, morphological sections of the hepatopancreas and intestine of WFS infected shrimp were analyzed, and lesions were found in the hepatopancreas and intestine of infected shrimp. The hepatopancreatic bodies of shrimp infected with WFS were arranged and scattered, and the stellate cavity was deformed. The connective tissue within the intestinal fold's atrophies to the point where the muscular layer almost disappeared. The enzyme linked kit results showed that lysozyme activity in hepatopancreas was significantly increased, total antioxidant capacity was significantly decreased, intestinal total antioxidant capacity and superoxide dismutase activities were significantly decreased in WFS infected shrimp, indicating that the antioxidant capacity of hepatopancreas and intestine were impaired. The intestinal metabolites of WFS shrimp and healthy shrimp were analyzed by non-targeted metabolic technology, and 10 differential metabolites and 7 differential metabolic pathways were screened. Among them, arginine, a significant differential metabolite, may positively activate the mTOR pathway, leading to the high expression of mTOR pathway, which is closely related to intestinal health. This indicates that when L. vannamei. is infected with WFS, the arginine content in the intestine is up-regulated, which positively activates the mTOR signaling pathway leading to pathway disorder, thereby destroying the intestinal health of L. vannamei. Through this study, we can not only understand the intestinal metabolic characteristics of WFS, but also provide a theoretical reference for the prevention and treatment of WFS in L. vannamei.PMID:40120225 | DOI:10.1016/j.cbd.2025.101462
Improved anaerobic digestion of waste activated sludge under ammonia stress by nanoscale zero-valent iron/peracetic acid pretreatment and hydrochar regulation: Insights from multi-omics analyses
Water Res. 2025 Mar 13;279:123497. doi: 10.1016/j.watres.2025.123497. Online ahead of print.ABSTRACTThis study developed a novel strategy combining a nanoscale zero-valent iron (nZVI)/peracetic acid (PAA) pretreatment and hydrochar regulation to enhance anaerobic digestion of waste activated sludge (WAS) under ammonia-stressed conditions. The strategy significantly enhanced methane production at ammonia concentrations below 3000 mg/L, with the regulation groups (AN3000/REG) achieving a 50.1 % increase in cumulative methane yield. Metagenomic analysis demonstrated a 14.2 % enrichment of key functional microorganisms, including syntrophic fatty acid-oxidizing bacteria and hydrogenotrophic methanogens, in the AN3000/REG groups. Some of them promote the conversion of butyrate and valerate to acetate through the upregulation of key genes in the fatty acid β-oxidation pathway, thereby supplying sufficient substrates for acetoclastic methanogenesis. Beyond enhancing acetoclastic methanogenesis, the AN3000/REG groups exhibited significant upregulation of other metabolic pathways, with a 34.2 % increase in syntrophic acetate oxidation-hydrogenotrophic methanogenesis genes and a 17.1 % increase in methanol/methylotrophic methanogenesis-related genes. These findings were further validated by the metatranscriptomic and metaproteomic combination analyses. Furthermore, the AN3000/REG groups exhibited a significant enhancement in direct interspecies electron transfer, with functional microbes (e.g., Geobacter, Methanosarcina, and Methanobacterium), pili, and cytochrome c showing significant increases of 1.38-fold, 12.7-fold, and 5.6-fold, respectively. This might be due to the synergistic effects of nZVI and hydrochar in the regulation groups. Additionally, metabolomic analyses revealed that the regulation strategy improved the microbial adaptability to ammonia stress by modulating metabolic products, such as alkaloids. Our study not only provides a promising strategy for alleviating ammonia inhibition during the anaerobic digestion of WAS but also provides a strong basis for understanding the underlying mechanism under ammonia-stressed conditions.PMID:40120189 | DOI:10.1016/j.watres.2025.123497
Different tools for different trades: contrasts in specialized metabolite chemodiversity and phylogenetic dispersion in fruit, leaves, and roots of the neotropical shrubs Psychotria and Palicourea (Rubiaceae)
Plant Biol (Stuttg). 2025 Mar 22. doi: 10.1111/plb.70013. Online ahead of print.ABSTRACTPlants produce an astonishingly diverse array of specialized metabolites. A crucial step in understanding the origin of such chemodiversity is describing how chemodiversity manifests across the spatial and ontogenetic scales relevant to plant-biotic interactions. Focusing on 21 sympatric species of Psychotria and Palicourea sensu lato (Rubiaceae), we describe patterns of specialized metabolite diversity across spatial and ontogenetic scales using a combination of field collections, untargeted metabolomics, and ecoinformatics. We compare α, β, and γ diversity of specialized metabolites in expanding leaves, unripe pulp, immature seed, ripe pulp, mature seed, and fine roots. Within species, fruit tissues from across ontogenetic stages had ≥α diversity than leaves, and ≤β diversity than leaves. Pooled across species, fruit tissues and ontogenetic stages had the highest γ diversity of all organs, and fruit tissues and ontogenetic stages combined had a higher incidence of organ-specific mass spectral features than leaves. Roots had ≤α diversity than leaves and the lowest β and γ diversity of all organs. Phylogenetic correlations of chemical distance varied by plant organ and chemical class. Our results describe patterns of specialized metabolite diversity across organs and species and provide support for organ-specific contributions to plant chemodiversity. This study contributes to the growing understanding within plant evolutionary ecology of the biological scales of specialized metabolite diversification. Future studies combining our data on specialized metabolite diversity with biotic interaction data and experiments can test existing hypotheses on the roles of ecological interactions in the evolution of chemodiversity.PMID:40120124 | DOI:10.1111/plb.70013
Lactobacillus johnsonii-derived leucic acid promotes fatty acid absorption and deposition by targeting CD36
Sci China Life Sci. 2025 Mar 19. doi: 10.1007/s11427-024-2794-4. Online ahead of print.ABSTRACTLactobacillus johnsonii is a microbial biomarker associated with lipid deposition, but the mechanism by which it accelerates fatty acid absorption and deposition remains unclear. In this study, we isolated a strain of L. johnsonii MS0621 from the feces of Ningxiang pigs, an obese animal model, and evaluated its probiotic properties with high resistance to temperature and intestinal fluids. Colonization by L. johnsonii MS0621 increased the abundance of gut Lactobacillus in lean DLY pigs, concomitant with increases in fatty acid absorption in the intestine and lipid depositions in the fat and muscle tissues. The lipid absorption-promoting effect was further detected in IPEC-J2 cells treated with live L. johnsonii MS0621 and the bacteria-free supernatants, as evidenced by high triglyceride synthesis and the expression of CD36, a key lipid transporter. Metabolomics analysis showed that (R)-leucic acid is a potential metabolite targeting CD36 expression to guarantee lipid absorption and deposition. The mechanism might involve direct interaction with CD36, as molecular docking and inhibition of CD36 blocked L. johnsonii MS0621 or derived metabolite-mediated lipid absorption. In conclusion, we uncovered an important role of L. johnsonii MS0621 derived (R)-leucic acid in regulating the absorption and deposition of intestinal fatty acids via regulation of CD36 expression.PMID:40120026 | DOI:10.1007/s11427-024-2794-4
Full Window Data-Independent Acquisition Method for Deeper Top-Down Proteomics
Anal Chem. 2025 Mar 22. doi: 10.1021/acs.analchem.4c06471. Online ahead of print.ABSTRACTTop-down proteomics (TDP) is emerging as a vital tool for the comprehensive characterization of proteoforms. However, as its core technology, top-down mass spectrometry (TDMS) still faces significant analytical challenges. While data-independent acquisition (DIA) has revolutionized bottom-up proteomics and metabolomics, they are rarely employed in TDP. The unique feature of protein ions in an electrospray mass spectrum as well as the data complexity require the development of new DIA strategies. This study introduces a machine learning-assisted Full Window DIA (FW-DIA) method that eliminates precursor ion isolation, making it compatible with a wide range of commercial mass spectrometers. Moreover, FW-DIA leverages all precursor protein ions to generate high-quality tandem mass spectra, enhancing signal intensities by ∼50-fold and protein sequence coverage by 3-fold in a modular protein analysis. The method was successfully applied to the analysis of a five-protein mixture under native conditions and Escherichia coli ribosomal proteoform characterization.PMID:40119838 | DOI:10.1021/acs.analchem.4c06471
Molecular Mechanisms of Biostimulants in Promoting Tomato Seedling Growth: Linking Chemical Structure to Physiologic Function
J Agric Food Chem. 2025 Mar 22. doi: 10.1021/acs.jafc.4c12283. Online ahead of print.ABSTRACTHumic acids (HAs), tea polyphenols (TPs), and fulvic acids (FAs) are bioactive substances known for their antimicrobial, antioxidant, and plant growth-promoting properties. However, the chemical structures and molecular mechanisms underlying their growth-promoting effects remain unclear. Solid-state 13C nuclear magnetic resonance analysis reveals that FA has the most aromatic and oxygen-containing groups, followed by HA and TP, with a molecular weight ranking of HA > TP > FA. Transcriptomic and metabolomic analyses reveal that these biostimulants unregulated genes related to IAA, C and N metabolism, and pathogen resistance, leading to enhanced synthesis of amino acids, lipids, vitamins, and sugars while improving N and P utilization efficiency. Small molecular weight and aromatic compounds with carboxyl groups and phenolic hydroxyl (especially those with high O/C or (O + H)/C ratios) are crucial for stimulating hormone synthesis and nutrient uptake. These findings provide valuable insights into developing novel fertilizers and artificially regulating humic substances.PMID:40119812 | DOI:10.1021/acs.jafc.4c12283
deltadeltaG Method for Elucidating Key Control Reactions from Relative Quantification Metabolome Data: Comparative Analysis of Yeast Glycolysis
Anal Chem. 2025 Mar 22. doi: 10.1021/acs.analchem.4c04480. Online ahead of print.ABSTRACTThis study introduces the ΔΔG method, a novel approach to analyzing metabolic regulation using relative quantification metabolome data. The method calculates shifts in the Gibbs free energy change (ΔG) in two different metabolic states. Subsequently, key reactions controlling the metabolic flux can be identified by comparing the ΔΔG values to the reaction rates. Two case studies demonstrated the applicability of this method. First, a metabolome data set was obtained from the wild-type and single-gene-deletion mutant strains of Saccharomyces cerevisiae. The ΔΔG values of the glycolytic reactions were calculated between those of the wild-type and each mutant strain. A positive correlation was observed between the ΔΔG values of phosphofructokinase (PFK) and the approximate glycolytic flux levels. These results suggested that PFK regulates glycolytic flux. Moreover, a comparison between S. cerevisiae (Crabtree-positive yeast) and Kluyveromyces marxianus (Crabtree-negative yeast) revealed that S. cerevisiae primarily regulates glycolysis through PFK, whereas K. marxianus employs a more distributed control. The ΔΔG method provides insights into metabolic regulation that are not apparent from metabolite profiles alone and is applicable to various biological systems, particularly for analyzing glycolysis. Furthermore, the simplicity of this method makes it a valuable tool for metabolic engineering and medical research.PMID:40119797 | DOI:10.1021/acs.analchem.4c04480
Multi-Omic Analysis Reveals a Lipid Metabolism Gene Signature and Predicts Prognosis and Chemotherapy Response in Thyroid Carcinoma
Cancer Med. 2025 Mar;14(6):e70819. doi: 10.1002/cam4.70819.ABSTRACTOBJECTIVE: Lipid metabolic reprogramming is closely intertwined with the development and progression of thyroid carcinoma (TC); however, its specific mechanism remains elusive. This study aimed to investigate the association between lipid metabolism and TC progression.METHODS: We employed liquid chromatography-mass spectrometry (LC/MS) for an untargeted metabolomics analysis, comparing 12 TC patients and 12 healthy controls (HC). Additionally, we conducted the screening of differentially expressed genes (DEGs) and identified differentially expressed lipid metabolism genes (LMGs). Multi-omic findings related to lipid metabolism were integrated to establish a prognostic risk model. The resulting risk score stratified TC patients into high- and low-risk groups. Overall survival (O.S.) was assessed using Kaplan-Meier (K-M) analysis. The immune landscape was evaluated using the CIBERSORT algorithm, and chemotherapeutic response was predicted utilizing the "pRRophetic" R package.RESULTS: Our metabolomic analysis revealed heightened lipid metabolic activity in TC, corroborated by similar findings in transcriptomic analysis. Multi-omic analysis identified key LMGs (FABP4, PPARGC1A, AGPAT4, ALDH1A1, TGFA, and GPAT3) associated with fatty acids and glycerophospholipids metabolism. A novel risk model, incorporating these LMGs, confirmed significantly worse O.S. (p = 0.0045) in the high-risk group based on TCGA_THCA. Furthermore, high-risk TC patients exhibited lower immune cell infiltration, and predictive outcomes indicated the efficacy of potential therapeutic drugs across risk groups.CONCLUSION: This multi-omic analysis underscores the potential utility of the lipid metabolism risk model in guiding clinical treatment and improving outcomes for TC patients.PMID:40119647 | DOI:10.1002/cam4.70819
Interaction between cecal microbiota and liver genes of laying ducks with different residual feed intake
Anim Microbiome. 2025 Mar 21;7(1):30. doi: 10.1186/s42523-025-00394-z.ABSTRACTBACKGROUND: The gut microbiota exerts a critical influence on energy metabolism homeostasis and productive performance in avian species. Given the diminishing availability of arable land and intensifying competition for finite resources between livestock production and human populations, the agricultural sector faces dual imperatives to enhance productive efficiency while mitigating ecological footprints. Within this paradigm, optimizing nutrient assimilation efficiency in commercial waterfowl operations emerges as a strategic priority. This investigation employs an integrated multi-omics approach framework (metagenomic, metabolomic, and transcriptomic analyses) to elucidate the mechanistic relationships between cecal microbial consortia and feed conversion ratios in Shan Partridge ducks.RESULTS: Based on the analysis of metagenome data, a total of 34 phyla, 1033 genera and 3262 species of bacteria were identified by metagenomic sequencing analysis. At the phylum level, 31 phylums had higher mean abundance in the low residual feed intake ( LRFI) group than in the high residual feed intake (HRFI) group. Among them, the expression of microbiome Elusimicrobiota was significantly higher in the LRFI group than in the HRFI group (P < 0.05). And we also found a significant differences in secondary metabolites biosynthesis, transport, and catabolism pathways between the two groups in microbial function (P < 0.05). Based on metabolomic analysis, 17 different metabolites were found. Among them, Lipids and lipid molecules accounted for the highest proportion. Whereas the liver is very closely related to lipid metabolism, we are close to understanding whether an individual's energy utilization efficiency is related to gene expression in the liver. We selected six ducks from each group of six ducks each for liver transcriptome analysis. A total of 322 differential genes were identified in the transcriptome analysis results, and 319 genes were significantly down-regulated. Among them, we found that prostaglandin endoperoxide synthase 2 (PTGS2) might be a key hub gene regulating RFI by co-occurrence network analysis. Interestingly, the differential gene PTGS2 was enriched in the arachidonic acid pathway at the same time as the differential metabolite 15-deoxy-delta12,14-prostaglandin J2 (15d-PGJ2). In addition, the results of the association analysis of differential metabolites with microorganisms also revealed a significant negative correlation between 15d-PGJ2 and Elusimicrobiota.CONCLUSION: Based on comprehensive analysis of the research results, we speculate that the Elusimicrobiota may affect the feed utilization efficiency in ducks by regulating the expression of the PTGS2 gene.PMID:40119394 | DOI:10.1186/s42523-025-00394-z
The rumen microbiome and its metabolome together with the host metabolome regulate the growth performance of crossbred cattle
BMC Genomics. 2025 Mar 21;26(1):278. doi: 10.1186/s12864-025-11465-5.ABSTRACTBACKGROUND: Although it has been demonstrated that gastrointestinal microorganisms greatly influence livestock performance, the effect of gastrointestinal microorganisms on the growth performance of crossbred cattle remains unclear. Due to their superior production characteristics, understanding the impact of gastrointestinal microorganisms on the growth performance of crossbred beef cattle is of significant importance for improving farming efficiency.RESULT: In this study, healthy Simmental with similar birth date and weight were selected as dams, Simmental (Combination I), Belgian Blue (Combination II) and Red Angus (Combination III) were used as parents for crossbreeding. The progeny of the three combination crosses were measured for growth performance under identical conditions from birth rearing to 18 months of age (n = 30). Rumen fluid and plasma were collected for macro-genomic and non-targeted metabolomic analysis (n = 8). The results showed that Combination II was superior to Combination I and Combination III in body weight (BW) and body height (BH) (P < 0.05). Mycoplasma, Succinivibrio, Anaerostipes, Methanosphaera, Aspergillus, and Acidomyces were significantly increased in the rumen of Combination II (P < 0.05), whereas differentially expressed metabolites (DEMs) 9,10,13-Trihome (11), 9,12,13-Trihome and 9(10)-Epome, and 9(S)-Hpode were reduced in abundance. In addition, plasma DEM PC (14:0/P-18:1(11Z)), PC (16:0/0:0), and PC (17:0/0:0) were down-regulated in combination II. Correlation analysis revealed that Anaerostipes, Methanosphaera, and Succinivibrio were associated with PC (14:0/P-18:1(11Z)), 9(10)-Epome, 9,10,13-Trihome (11), 9(S)-Hpode, 9,10,13-Trihome, PC (17:0/0:0), and PC (16:0/0:0). Growth traits were significantly positively correlated with the three dominant genera, Anaerostipes, Methanosphaera, and Succinivibrio, while significantly negatively correlated with key rumen metabolites and plasma metabolites (P < 0.05).CONCLUSIONS: Our study reveals the role of rumen microorganisms and its metabolites with host metabolism in the regulation of growth performance of crossbred cattle, which will contribute to the development of modern cattle breeding.PMID:40119296 | DOI:10.1186/s12864-025-11465-5
Plasma levels of amino acids and osteoporosis: a cross-sectional study
Sci Rep. 2025 Mar 21;15(1):9811. doi: 10.1038/s41598-025-94766-9.ABSTRACTThe role of amino acids (AAs) with bone health is still controversial. We examined the association between AAs and osteoporosis in a cross-sectional study of 135 participants aged 45 years or older from the Second Hospital of Jilin University. Plasma AAs were measured with targeted quantitative methodology. We measured bone mineral density (BMD) with dual energy x-ray absorptiometry, and osteoporosis was defined as a T-score ≤ -2.5. We estimated odds ratios (OR) and corresponding 95% confidence intervals (CIs) for the associations between AAs (per 1 standard deviation increase) with osteoporosis. Approximately 18.5% of participants (n = 25) had osteoporosis. Total (adjusted β = 0.052; P = 0.002) and non-essential AA (adjusted β = 0.064; P = 0.002) levels were associated with femoral neck BMD T-scores. Greater levels of total (adjusted OR: 0.734; 95% CI: 0.655-0.821), essential (adjusted OR: 0.763; 95% CI: 0.623-0.934) and non-essential AAs (adjusted OR: 0.721; 95% CI: 0.629-0.826) were associated with lower odds of osteoporosis. Higher tryptophan (adjusted OR: 0.498; 95% CI: 0.281-0.882), cysteine (adjusted OR: 0.561; 95% CI: 0.321-0.983), glycine (adjusted OR: 0.513; 95% CI: 0.285-0.922), and ornithine levels (adjusted OR: 0.581; 95% CI: 0.345-0.978) were associated with reduced osteoporosis risk. Higher AA levels were associated with higher femoral neck BMD, and lower odds of osteoporosis.PMID:40119126 | DOI:10.1038/s41598-025-94766-9
Evaluating the Mechanism of Action Behind Controlled Hypothermic Preservation of Donor Hearts: A Randomized Pilot Study
J Heart Lung Transplant. 2025 Mar 19:S1053-2498(25)01834-0. doi: 10.1016/j.healun.2025.02.1699. Online ahead of print.ABSTRACTBACKGROUND: Controlled hypothermic preservation of donor hearts is associated with decreased post-transplant primary graft dysfunction compared to conventional cold storage. However, mechanisms underlying this benefit in human subjects are unclear.METHODS: We randomized 20 heart transplant recipients at a single institution to receive donor hearts preserved with either controlled hypothermic preservation or standard cold storage. Right ventricular biopsies were obtained at donor heart recovery, immediately before implantation, and 7 days after transplantation. Protein expression profiles at each time point were evaluated using mass spectrometry, Protein Interaction Network Extractor analysis, and Ingenuity Pathway Analysis.RESULTS: Immediately before implantation, controlled hypothermic preservation was associated with increased protein expression related to fatty acid metabolism, mitochondrial intermembrane space, and contractile fiber machinery. Pathway analysis indicated increased cell viability, autophagy, and upregulation of AMP-activated protein kinase pathway with controlled hypothermic preservation. By post-transplant day 7, the protein expression profiles of the two groups were similar. However, controlled hypothermic preservation was associated with increased expression in the peroxisome proliferator-activated receptor signaling pathway and fatty acid oxidation.CONCLUSIONS: Controlled hypothermic preservation of donor hearts shows beneficial time-dependent variability in protein expression that may confer improved organ quality at the time of transplantation.PMID:40118307 | DOI:10.1016/j.healun.2025.02.1699
Gut microbiota promotes cholesterol gallstone formation through the gut-metabolism-gene axis
Microb Pathog. 2025 Mar 19:107446. doi: 10.1016/j.micpath.2025.107446. Online ahead of print.ABSTRACTBACKGROUND: Gallstone disease, arising from the interplay between host metabolism and gut microbiota, represents a significant health concern. Dysbiosis of the gut microbiome and disruptions in circadian rhythm contribute to the pathogenesis of gallstones. This study conducted a comprehensive analysis of gut microbiota and metabolites derived from stool and serum samples of 28 patients with cholesterol gallstones (CGS) and 19 healthy controls, employing methodologies such as 16S rRNA sequencing, metaproteomics, metabolomics, and host genetic analysis. Additionally, a retrospective cohort study was utilized to assess the efficacy of probiotics or ursodeoxycholic acid (UDCA) in preventing CGS formation post- bariatric surgery.RESULTS: In CGS patients, gut microbiota diversity shifted, with harmful bacteria rising and beneficial ones declining. The altered microbiota primarily affected amino acid, lipid, nucleotide, and carbohydrate metabolism. Metabolic abnormalities were noted in amino acids, glucose, lipids, and bile acids with decreased levels of ursodeoxycholic, glycosodeoxycholic, and glycolithocholic acids, and increased glycohyodeoxycholic and allocholic acids. Glutamine and alanine levels dropped, while phenylalanine and tyrosine rosed. Animal studies confirmed gene changes in gallbladder tissues related to bile acid, energy, glucose, and lipid metabolism. Importantly, UDCA and probiotics effectively reduced CGS risk post-bariatric surgery, especially when combined.CONCLUSIONS: Multi-omics can clarify CGS pathology, by focusing on the gut-metabolism-gene axis,paving the way for future studies on CGS prevention and treatment through gut microbiota or metabolic interventions.PMID:40118296 | DOI:10.1016/j.micpath.2025.107446
Association of nuclear magnetic resonance-based metabolomics with bone health in the UK Biobank
Bone. 2025 Mar 19:117460. doi: 10.1016/j.bone.2025.117460. Online ahead of print.ABSTRACTOBJECTIVES: The study aimed to explore associations of metabolomic data based on nuclear magnetic resonance (NMR) with the risk of fractures and bone mineral density (BMD).METHODS: We included 69,963 participants without fractures at baseline in the UK Biobank. Cox proportional hazard models were used to estimate the associations of metabolomic biomarkers measured by NMR technology with the risk of all fractures and hip fracture. We used principal component analysis (PCA) to obtain uncorrelated principal components (PC), which were further used to estimate the associations of each PC with BMD, all fractures, and hip fracture separately.RESULTS: During a median follow-up of 12.6 years, 3840 incidents of all fractures and 666 incidents of hip fracture were documented. Ninety-four of the 143 metabolomic biomarkers were significantly associated with incident all fractures, and 81 were significantly associated with incident hip fracture. The very low-density lipoprotein (VLDL) subclasses in different lipid constituents were associated with increased BMD at multiple sites, whereas high-density lipoprotein (HDL) subclasses were associated with decreased BMD. Higher concentrations of small (HR per SD increment: 0.92; 95 % CI: 0.88-0.97), medium (HR per SD increment: 0.91; 95 % CI: 0.88-0.94), and large (HR per SD increment: 0.93; 95 % CI: 0.90-0.96) low-density lipoprotein (LDL) particles were associated with a lower risk of all fractures. Similarly, higher VLDL subclasses (excluding very small VLDL particles) were associated with a lower risk of all fractures. Besides, higher levels of lipid constituents (including total lipids, cholesteryl esters, cholesterol, and free cholesterol) of very large and large HDL were associated with an increased risk of all fractures. PC1 (mainly contributed by lipid subclasses of LDL and VLDL), which explained the most variance of individual biomarkers, showed a negative association with the risk of all fractures (P = 7.80E-08). Similar associations were observed for hip fracture.CONCLUSIONS: Higher levels of large and very large HDL were associated with an increased risk of fractures, whereas higher lipid subclasses of LDL and VLDL were associated with a lower risk of fracture. Higher levels of VLDL subclasses in different lipid constituents were associated with increased BMD at multiple sites, while higher level of HDL was associated with decreased BMD.PMID:40118262 | DOI:10.1016/j.bone.2025.117460
Machine learning and artificial intelligence in the multi-omics approach to gut microbiota
Gastroenterology. 2025 Mar 19:S0016-5085(25)00526-8. doi: 10.1053/j.gastro.2025.02.035. Online ahead of print.ABSTRACTThe gut microbiome is involved in human health and disease, and its comprehensive understanding is necessary to exploit it as a diagnostic or therapeutic tool. Multi-omics approaches, including metagenomics, metatranscriptomics, metabolomics, and metaproteomics, enable depicting the complexity of the gut microbial ecosystem. However, these tools generate a large data stream, which integration is needed to produce clinically useful readouts but, in turn, might be difficult to carry out with conventional statistical methods. Artificial intelligence and machine learning have been increasingly applied to multi-omics datasets in several conditions associated with microbiome disruption, from chronic disorders to cancer. Such tools show potential for clinical implementation, including the discovery of microbial biomarkers for disease classification or prediction, the prediction of response to specific treatments, the fine-tuning of microbiome-modulating therapies. Here we discuss the state of the art, potential, and limits, of artificial intelligence and machine learning in the multi-omics approach to gut microbiome.PMID:40118220 | DOI:10.1053/j.gastro.2025.02.035