PubMed

J Chromatogr A. 2024 Oct 28;1738:465477. doi: 10.1016/j.chroma.2024.465477. Online ahead of print.ABSTRACTThe leaves of Pterocarpus santalinus have been identified as a good source of health-beneficial flavonoids through the amalgamation of untargeted metabolomics using UHPLC-ESI-MSn leading to the identification of flavone-glycosides bearing isorhamnetin and quercetin skeletons. To unveil the optimum ultrasonication extraction conditions required for the comprehensive extraction of major flavone-glycosides, isorhamnetin-3-O-β-d-(2-O-α-L-rhamnopyranosyl)glucopyranoside and isorhamnetin-3-O-β-d-glucopyranoside, the response surface methodology based on Box-Behnken design was adopted. The influence of input extraction parameters extraction time (X1): 15-45 min, temperature (X2): 40-60 °C and biomass-solvent ratio (X3): 60-100 on the extractive yield and comprehensive flavonoid content resulted in the optimal conditions as 19.09 min, 48.65 oC, and 72.15, respectively. The investigation provides a sustainable approach for recovering health-beneficial flavone-glycosides for utilization in various industries.PMID:39500076 | DOI:10.1016/j.chroma.2024.465477

Animal. 2024 Oct 10;18(11):101354. doi: 10.1016/j.animal.2024.101354. Online ahead of print.ABSTRACTIdentification of plasma biomarkers for feed efficiency in growing beef cattle offers a promising opportunity for developing prediction models to improve precision feeding strategies. However, these models must accurately predict feed efficiency at early stages of fattening. Our study aimed to evaluate the reliability of candidate biomarkers previously identified in late-fattening cattle when analysed during early fattening stages and to develop diet-specific prediction equations for residual feed intake (RFI). From a total of 364 Charolais bulls across seven cohorts, we selected 64 animals with extreme RFI values. The animals were fed either a corn‑ or grass-silage diets. These animals were chosen from four out of the available seven cohorts. Animals from three cohorts (24 high-RFI and 24 low-RFI, having a mean RFI difference of 1.48 kg/d) were used for biomarker confirmation and prediction model training. Animals from a fourth cohort (8 high-RFI and 8 low-RFI, having a mean RFI difference of 0.98 kg/d) were used for model external validation. Blood samples were collected at the beginning of the feed efficiency test (333 ± 20 days), and plasma underwent targeted metabolomic for 630 metabolites, natural abundance of 15N (δ15N), insulin, and IGF-1 analysis. Seven previously identified plasma biomarkers for RFI in late-fattening beef cattle still kept their capability for discriminating low and high RFI animals when analysed during early fattening stages (P < 0.05). Among these confirmed biomarkers, five were common for both grass- and corn-fed animals (creatinine, β-alanine, triglyceride TG18:0_34:2, symmetric dimethyl-arginine and phosphatidylcholine PC aa C30:2) while two were diet-specific (IGF-1 for grass silage-based diet, and isoleucine for corn silage-based diet. No new plasma biomarkers of RFI were identified at early-fattening stages (false discovery rate > 0.05). Prediction models were developed based on seven confirmed RFI biomarkers analysed during early-fattening. Two logistic regression models incorporating creatinine and either IGF-1 (for grass silage-based diet) or PC aa C30:2 (for corn silage-based diet) effectively distinguished between high- and low-RFI animals with high sensitivity and specificity (area under the curve > 0.80). The biomarkers used in the models showed moderate to high repeatability between early and late fattening stages (0.45 < r < 0.65). The models were successfully externally validated, with more than 85% of animals from the fourth cohort correctly classified. Once validated in larger cohorts and utilising cost-effective and rapid analytical methods, these models could support precision feeding and breeding programmes, aiming to reduce the cost of raising beef cattle.PMID:39500057 | DOI:10.1016/j.animal.2024.101354

EBioMedicine. 2024 Nov 4;109:105400. doi: 10.1016/j.ebiom.2024.105400. Online ahead of print.ABSTRACTBACKGROUND: The ketogenic diet (KD) is a high fat, sufficient protein, and low carbohydrate dietary therapy for drug-resistant epilepsy. The underlying mechanisms of action of the KD remain unclear. In mice, the microbiota is necessary for the anti-seizure effect and specific microbes influence circulatory levels of metabolites that are linked to seizure reduction. However, it remains unclear which changes are linked to seizure reduction in patients with epilepsy.METHODS: We analysed the serum metabolome of children with drug-resistant epilepsy (n = 14) before and after three months on KD. Metabolomic changes were correlated to the gut microbiome and treatment outcome, i.e., seizure reduction.FINDINGS: In this prospective observational study, we uncovered associations between microbial species and serum metabolites that correlated with seizure reduction. Plasmalogens were most strongly linked to seizure reduction and had significant positive correlations with several gut microbes (e.g., Faecalibacterium prausnitzii, Alistipes communis, Alistipes shahii, and Christensenella minuta) while significant negative correlations were found for five strains of Escherichia coli. Infant-type Bifidobacteria correlated negatively with other metabolites associated with seizure reduction.INTERPRETATION: The microbes and metabolites identified here may contribute to the therapeutic effect of the KD in children with drug-resistant epilepsy. Several of these metabolites (e.g., plasmalogens) play important roles in neurobiology and may influence seizures. Based on our findings, anti-seizure therapeutic strategies could be developed involving the targeted manipulation of the gut microbiota and/or its metabolites.FUNDING: This study was supported by the Swedish Brain Foundation, Margarethahemmet Society, Sunnerdahls Handikappfond, Stockholm County Council Research Funds, and Linnea & Josef Carlssons Foundation.PMID:39500011 | DOI:10.1016/j.ebiom.2024.105400

Am J Respir Cell Mol Biol. 2024 Nov 5. doi: 10.1165/rcmb.2023-0249OC. Online ahead of print.ABSTRACTChanges in metabolic activity are key regulators of macrophage activity. Pro-inflammatory macrophages upregulate glycolysis, which promotes an inflammatory phenotype, whereas pro-repair macrophages rely upon oxidative metabolism and glutaminolysis to support their activity. Work to understand how metabolism regulates macrophage phenotype has been done primarily in macrophage cell lines and bone marrow-derived macrophages (BMDM). Our study sought to understand changes in metabolic activity of murine tissue-resident alveolar macrophages (AM) in response to LPS stimulation and to contrast them to BMDM. These studies also determined the contribution of glutamine metabolism using the glutamine inhibitor, DON. We found that compared to BMDM, AM have higher rates of oxygen consumption and contain a higher concentration of intracellular metabolites involved in fatty acid oxidation. In response to LPS, BMDM but not AM increased rates of glycolysis. Inhibition of glutamine metabolism using DON altered the metabolic activity of AM but not BMDM. Within AM, glutamine inhibition led to increases in intracellular metabolites involved in glycolysis, the TCA cycle, fatty acid oxidation, and amino acid metabolism. Glutamine inhibition also altered the metabolic response to LPS within AM but not BMDM. Our data reveal striking differences in the metabolic activity of AM and BMDM.PMID:39499818 | DOI:10.1165/rcmb.2023-0249OC

Invest Ophthalmol Vis Sci. 2024 Nov 4;65(13):6. doi: 10.1167/iovs.65.13.6.ABSTRACTPURPOSE: Endophthalmitis is a severe inflammatory condition due to intraocular infections that often leads to irreversible blindness. This study aimed to understand the age-dependent metabolic alterations in the vitreous of patients with bacterial endophthalmitis.METHODS: The study included the vitreous metabolome of patients with bacterial endophthalmitis (group 1, n = 15) and uninfected controls (group 2, n = 14), which were further stratified into three groups according to their age: young (0-30 years), middle (31-60 years), and elderly (>60 years). Vitreous samples were subjected to untargeted metabolomic analysis using high-resolution mass spectrometry (HRMS)m and acquired mass spectrometry data were analyzed using MetaboAnalyst 6.0. The altered metabolites with log2FC of ≥2/≤2, P < 0.05, and variable importance in projection > 1 were considered significant.RESULTS: In a total of 109 endogenous metabolites identified, young and elderly patients with endophthalmitis showed 52 (elevated, 25; reduced, 27; P < 0.05) and 27 (elevated, 19; reduced, 8; P < 0.05) significantly altered metabolites, respectively, compared to their age-matched controls. Additionally, 27 metabolites were differentially expressed in young patients with endophthalmitis compared to the older group. The crucial metabolic pathways dysregulated in the older infected population were de novo purine synthesis and salvage, carnitine, polyamine (spermidine), lipids (prostaglandins), and amino acid (taurine, methionine, histidine) which could possibly be attributed to the increased disease severity and inflammation observed in a clinical setting.CONCLUSIONS: Despite the erratic metabolic changes observed in the younger group infected with endophthalmitis when compared to age-matched controls, dysregulation in the specific pathways such as purine, carnitine, arachidonic acid, and polyamine metabolism could possibly alter the immunological exacerbation observed in the older group.PMID:39499509 | DOI:10.1167/iovs.65.13.6

Plant J. 2024 Nov 5. doi: 10.1111/tpj.17079. Online ahead of print.ABSTRACTWheat growth process has been experiencing severe challenges arising from the adverse environment. Notably, the incidence of Fusarium crown rot (FCR), a severe soil-borne disease caused by Fusarium pseudograminearum (Fp), has significantly intensified in various wheat-growing regions, resulting in a decline in grain yield. However, the identification of wheat varieties and the exploration of effective gene resources resistant to FCR have not yet been accomplished. Here, we screened and identified the tryptophan metabolism pathway to participate in wheat resistance to FCR by correlation analysis between transcriptome and metabolome, and found that indole-3-acetaldehyde (IAAld) and melatonin, two key metabolites in the tryptophan metabolic pathway, were significantly accumulated in Fp-induced wheat stem bases. Interestingly, exogenous application of these two metabolites could significantly enhance wheat resistance against Fp. Additionally, we observed that the activity of TaALDHase, a crucial enzyme responsible for catalyzing IAAld to produce indole-3-acetic acid (IAA), was inhibited. Conversely, the activity of TaMTase, a rate-limiting involved in melatonin biosynthesis, was enhanced in the Fp-induced wheat transcriptome. Further analysis showed that TaWRKY24 could regulate IAA and melatonin biosynthesis by inhibiting the expression of TaALDHase and enhancing the transcription of TaMTase, respectively. Silencing of TaALDHase could significantly increase wheat resistance to FCR. However, interference with TaWRKY24 or TaMTase could decrease wheat resistance to FCR. Collectively, our findings demonstrate the crucial role of the tryptophan metabolism pathway in conferring resistance against FCR in wheat, thereby expanding its repertoire of biological functions within the plant system.PMID:39499237 | DOI:10.1111/tpj.17079

Gut Microbes. 2024 Jan-Dec;16(1):2423026. doi: 10.1080/19490976.2024.2423026. Epub 2024 Nov 5.ABSTRACTFaecal/intestinal microbiota transplant (FMT/IMT) is an efficacious treatment option for recurrent Clostridioides difficile infection, which has prompted substantial interest in FMT's potential role in the management of a much broader range of diseases associated with the gut microbiome. Despite its promise, the success rates of FMT in these other settings have been variable. This review critically evaluates the current evidence on the impact of clinical, biological, and procedural factors upon the therapeutic efficacy of FMT, and identifies areas that remain nebulous. Due to some of these factors, the optimal therapeutic approach remains unclear; for example, the preferred timing of FMT administration in a heavily antibiotic-exposed hematopoietic cell transplant recipient is not standardized, with arguments that can be made in alternate directions. We explore how these factors may impact upon more informed selection of donors, potential matching of donors to recipients, and aspects of clinical care of FMT recipients. This includes consideration of how gut microbiome composition and functionality may strategically inform donor selection criteria. Furthermore, we review how the most productive advances within the FMT space are those where clinical and translational outcomes are assessed together, and where this model has been used productively in recent years to better understand the contribution of the gut microbiome to human disease, and start the process toward development of more targeted microbiome therapeutics.PMID:39499189 | DOI:10.1080/19490976.2024.2423026

ESC Heart Fail. 2024 Nov 5. doi: 10.1002/ehf2.15135. Online ahead of print.ABSTRACTBACKGROUND AND AIMS: The heart is a metabolic organ rich in mitochondria. The failing heart reprograms to utilize different energy substrates, which increase its oxygen consumption. These adaptive changes contribute to increased oxidative stress. Hypertrophic cardiomyopathy (HCM) is a common heart condition, affecting approximately 15% of the general cat population. Feline HCM shares phenotypical and genotypical similarities with human HCM, but the disease mechanisms for both species are incompletely understood. Our goal was to characterize global changes in metabolome between healthy control cats and cats with different stages of HCM.METHODS: Serum samples from 83 cats, the majority (70/83) of which were domestic shorthair and included 23 healthy control cats, 31 and 12 preclinical cats with American College of Veterinary Internal Medicine (ACVIM) stages B1 and B2, respectively, and 17 cats with history of clinical heart failure or arterial thromboembolism (ACVIM stage C), were collected for untargeted metabolomic analysis. Multiple linear regression adjusted for age, sex and body weight was applied to compare between control and across HCM groups.RESULTS: Our study identified 1253 metabolites, of which 983 metabolites had known identities. Statistical analysis identified 167 metabolites that were significantly different among groups (adjusted P < 0.1). About half of the differentially identified metabolites were lipids, including glycerophospholipids, sphingolipids and cholesterol. Serum concentrations of free fatty acids, 3-hydroxy fatty acids and acylcarnitines were increased in HCM groups compared with control group. The levels of creatine phosphate and multiple Krebs cycle intermediates, including succinate, aconitate and α-ketoglutarate, also accumulated in the circulation of HCM cats. In addition, serum levels of nicotinamide and tryptophan, precursors for de novo NAD+ biosynthesis, were reduced in HCM groups versus control group. Glutathione metabolism was altered. Serum levels of cystine, the oxidized form of cysteine and cysteine-glutathione disulfide, were elevated in the HCM groups, indicative of heightened oxidative stress. Further, the level of ophthalmate, an endogenous glutathione analog and competitive inhibitor, was increased by more than twofold in HCM groups versus control group. Finally, several uremic toxins, including guanidino compounds and protein bound putrescine, accumulated in the circulation of HCM cats.CONCLUSIONS: Our study provided evidence of deranged energy metabolism, altered glutathione homeostasis and impaired renal uremic toxin excretion. Altered lipid metabolism suggested perturbed structure and function of cardiac sarcolemma membrane and lipid signalling.PMID:39499136 | DOI:10.1002/ehf2.15135

Front Cell Dev Biol. 2024 Oct 21;12:1491065. doi: 10.3389/fcell.2024.1491065. eCollection 2024.ABSTRACTBACKGROUND: Sepsis is a common disease associated with neonatal and infant mortality, and for diagnosis, blood culture is currently the gold standard method, but it has a low positivity rate and requires more than 2 days to develop. Meanwhile, unfortunately, the specific biomarkers for the early and timely diagnosis of sepsis in infants and for the determination of the severity of this disease are lacking in clinical practice.METHODS: Samples from 18 sepsis infants with comorbidities, 25 sepsis infants without comorbidities, and 25 infants with noninfectious diseases were evaluated using a serum metabolomics approach based on liquid chromatography‒mass spectrometry (LC‒MS) technology. Differentially abundant metabolites were screened via multivariate statistical analysis. In addition, least absolute shrinkage and selection operator (LASSO) and support vector machine recursive feature elimination (SVM-RFE) analyses were conducted to identify the key metabolites in infants with sepsis and without infections. The random forest algorithm was applied to determine key differentially abundant metabolites between sepsis infants with and without comorbidities. Receiver operating characteristic (ROC) curves were generated for biomarker value testing. Finally, a metabolic pathway analysis was conducted to explore the metabolic and signaling pathways associated with the identified differentially abundant metabolites.RESULTS: A total of 189 metabolites exhibited significant differences between infectious infants and noninfectious infants, while 137 distinct metabolites exhibited differences between septic infants with and without comorbidities. After screening for the key differentially abundant metabolites using LASSO and SVM-RFE analyses, hexylamine, psychosine sulfate, LysoPC (18:1 (9Z)/0:0), 2,4,6-tribromophenol, and 25-cinnamoyl-vulgaroside were retained for the diagnosis of infant sepsis. ROC curve analysis revealed that the area under the curve (AUC) was 0.9200 for hexylamine, 0.9749 for psychosine sulfate, 0.9684 for LysoPC (18:1 (9Z)/0:0), 0.7405 for 2,4,6-tribromophenol, 0.8893 for 25-cinnamoyl-vulgaroside, and 1.000 for the combination of all metabolites. When the septic infants with comorbidities were compared to those without comorbidities, four endogenous metabolites with the greatest importance were identified using the random forest algorithm, namely, 12-oxo-20-trihydroxy-leukotriene B4, dihydrovaltrate, PA (8:0/12:0), and 2-heptanethiol. The ROC curve analysis of these four key differentially abundant metabolites revealed that the AUC was 1 for all four metabolites. Pathway analysis indicated that phenylalanine, tyrosine, and tryptophan biosynthesis, phenylalanine metabolism, and porphyrin metabolism play important roles in infant sepsis.CONCLUSION: Serum metabolite profiles were identified, and machine learning was applied to identify the key differentially abundant metabolites in septic infants with comorbidities, septic infants without comorbidities, and infants without infectious diseases. The findings obtained are expected to facilitate the early diagnosis of sepsis in infants and determine the severity of the disease.PMID:39498415 | PMC:PMC11532037 | DOI:10.3389/fcell.2024.1491065

Food Chem X. 2024 Oct 11;24:101893. doi: 10.1016/j.fochx.2024.101893. eCollection 2024 Dec 30.ABSTRACTLicorice flavonoids (LFs) exhibit potent antibacterial activities against Gram-positive bacteria. However, the related mechanism remains unclear. This study aims to illustrate the mechanisms of licochalcone A (LA), a main flavonoid in LFs, against methicillin-resistant Staphylococcus aureus (MRSA). The anti-MRSA effect of LA was comprehensively investigated by a combination of proteomics and metabolomics studies. Meanwhile, LA was loaded in glycyrrhizin (GA) micelles (GA@LA micelles) to improve its water solubility. The results demonstrated that LA could disrupt the arginine metabolism and cause the accumulation of intracellular ROS in MRSA. In addition, LA could inhibit the expression of glucokinase in MRSA, which affect the synthesis of ATP, fatty acids, and peptidoglycan. GA@LA micelles have the latent ability to inhibit the growth of MRSA on fresh pork.PMID:39498259 | PMC:PMC11532437 | DOI:10.1016/j.fochx.2024.101893

Food Chem X. 2024 Oct 15;24:101894. doi: 10.1016/j.fochx.2024.101894. eCollection 2024 Dec 30.ABSTRACTBaccaurea ramiflora has an unstable ripening period. Herein, five typical periods of fruit ripening of 'LR' Baccaurea ramiflora were analyzed by non-targeted metabolomics techniques. The results showed that ripening started 73 days after flowering and reached the ripening criterion at 93 days, a total of 451 differential metabolites were identified for the five periods. KEGG enrichment pathway showed that significant changes in citric acid were significantly correlated with changes in the downstream substance spermine (R 2 = 0.9068, y = -5.49 + 0.66×), while citric acid (R 2 = 0.9982) and spermine (R 2 = 0.9841) were negatively correlated with the sugar-acid ratio. Citric acid was the main component of titratable acid and spermine (R 2 = 0.9991) was positively correlated with titratable acid. We speculated that citric acid is a key taste marker for fruit ripening in 'LR' B. ramiflora. The results of the study provide new metabolic evidence for flavor changes and scientific basis for their quality improvement and exploitation in B. ramiflora.PMID:39498255 | PMC:PMC11532438 | DOI:10.1016/j.fochx.2024.101894

Front Microbiol. 2024 Oct 21;15:1458090. doi: 10.3389/fmicb.2024.1458090. eCollection 2024.ABSTRACTBACKGROUND: Microbial-derived secondary bile acids (SBAs) are reabsorbed and sensed via host receptors modulating cellular inflammation and fibrosis. Feline chronic kidney disease (CKD) occurs with progressive renal inflammation and fibrosis, mirroring the disease pathophysiology of human CKD patients.METHODS: Prospective cross-sectional study compared healthy cats (n = 6) with CKD (IRIS Stage 2 n = 17, Stage 3 or 4 n = 11). Single timepoint fecal samples from all cats underwent targeted bile acid metabolomics. 16S rRNA gene amplicon sequencing using DADA2 with SILVA taxonomy characterized the fecal microbiota.RESULTS: CKD cats had significantly reduced fecal concentrations (median 12.8 ng/mg, Mann-Whitney p = 0.0127) of the SBA ursodeoxycholic acid (UDCA) compared to healthy cats (median 39.4 ng/mg). Bile acid dysmetabolism characterized by <50% SBAs was present in 8/28 CKD and 0/6 healthy cats. Beta diversity significantly differed between cats with <50% SBAs and > 50% SBAs (PERMANOVA p < 0.0001). Twenty-six amplicon sequence variants (ASVs) with >97% nucleotide identity to Peptacetobacter hiranonis were identified. P. hiranonis combined relative abundance was significantly reduced (median 2.1%) in CKD cats with <50% SBAs compared to CKD cats with >50% SBAs (median 13.9%, adjusted p = 0.0002) and healthy cats with >50% SBAs (median 15.5%, adjusted p = 0.0112). P. hiranonis combined relative abundance was significantly positively correlated with the SBAs deoxycholic acid (Spearman r = 0.5218, adjusted p = 0.0407) and lithocholic acid (Spearman r = 0.5615, adjusted p = 0.0156). Three Oscillospirales ASVs and a Roseburia ASV were also identified as significantly correlated with fecal SBAs.CLINICAL AND TRANSLATIONAL IMPORTANCE: The gut-kidney axis mediated through microbial-derived SBAs appears relevant to the spontaneous animal CKD model of domestic cats. This includes reduced fecal concentrations of the microbial-derived SBA UDCA, known to regulate inflammation and fibrosis and be reno-protective. Microbes correlated with fecal SBAs include bai operon containing P. hiranonis, as well as members of Oscillospirales, which also harbor a functional bai operon. Ultimately, CKD cats represent a translational opportunity to study the role of SBAs in the gut-kidney axis, including the potential to identify novel microbial-directed therapeutics to mitigate CKD pathogenesis in veterinary patients and humans alike.PMID:39498133 | PMC:PMC11532117 | DOI:10.3389/fmicb.2024.1458090

Front Microbiol. 2024 Oct 21;15:1461821. doi: 10.3389/fmicb.2024.1461821. eCollection 2024.ABSTRACTINTRODUCTION: Organic fertilizers (OF) are crucial for enhancing soil quality and fostering plant growth, offering a more eco-friendly and enduring solution compared to chemical fertilizers (CF). However, few studies have systematically analyzed the effects of OF/CF on root microbiome of medicinal plants, especially in combination with active ingredients.METHODS: In this study, we investigated the composition and function of bacteria and fungi in the rhizosphere or within the root of traditional Chinese medicinal plants, Citri Grandis Exocarpium (Huajuhong), which were treated with OF or CF over 1, 3, and 5 years (starting from 2018). Additionally, we conducted metabolome analysis to evaluate the effects of different fertilizers on the medicinal properties of Huajuhong.RESULTS: The results indicated that extended fertilization could enhance the microbial population and function in plant roots. Notably, OF demonstrated a stronger influence on bacteria, whereas CF enhanced the cohesion of fungal networks and the number of fungal functional enzymes, and even potentially reduced the proliferation of harmful rhizosphere pathogens. By adopting distancebased redundancy analysis, we identified the key physicochemical characteristics that significantly influence the distribution of endophytes, particularly in the case of OF. In contrast, CF was found to exert a more pronounced impact on the composition of the rhizosphere microbiome. Although the application of OF resulted in a broader spectrum of compounds in Huajuhong peel, CF proved to be more efficacious in elevating the concentrations of flavonoids and polysaccharides in the fruit.DISCUSSION: Consequently, the effects of long-term application of OF or CF on medicinal plants is different in many ways. This research provides a guide for OF/CF selection from the perspective of soil microecology and aids us to critically assess and understand the effects of both fertilizers on the soil environment, and promotes sustainable development of organic agriculture.PMID:39498128 | PMC:PMC11532108 | DOI:10.3389/fmicb.2024.1461821

J Oral Microbiol. 2024 Oct 30;16(1):2422164. doi: 10.1080/20002297.2024.2422164. eCollection 2024.ABSTRACTBACKGROUND: Oral lichen planus (OLP) is a chronic oral mucosal inflammatory disease with a risk of becoming malignant. Emerging evidence suggests that microbial imbalance plays an important role in the development of OLP. However, the association between the oral microbiota and the metabolic features in OLP is still unclear.METHODS: We conducted 16S rRNA sequencing and metabolomics profiling on 95 OLP patients and 105 healthy controls (HC).To study oral microbes and metabolic changes in OLP, we applied differential analysis, Spearman correlation analysis and four machine learning algoeithms.RESULTS: The alpha and beta diversity both differed between OLP and HC. After adjustment for gender and age, we found an increase in the relative abundance of Pseudomonas, Aggregatibacter, Campylobacter, and Lautropia in OLP, while 18 genera decreased in OLP. A total of 153 saliva metabolites distinguishing OLP from HC were identified. Notably, correlations were found between Oribacterium, specific lipid and amino acid metabolites, and OLP's clinical phenotype. Additionally, the combination of Pseudomonas, Rhodococcus and (±)10-HDoHE effectively distinguished OLP from HC.CONCLUSIONS: Based on multi-omics data, this study provides comprehensive evidence of a novel interplay between oral microbiome and metabolome in OLP pathogenesis using the oral microbiota and metabolites of OLP patients.PMID:39498115 | PMC:PMC11533246 | DOI:10.1080/20002297.2024.2422164

Heliyon. 2024 Sep 20;10(20):e38220. doi: 10.1016/j.heliyon.2024.e38220. eCollection 2024 Oct 30.ABSTRACTBACKGROUND: This study investigates the molecular mechanisms behind firmicutes-mediated macrophage (Mψ) polarization and glycolytic metabolic reprogramming through HIF-1α in response to intrinsic mucosal barrier injury induced by high-altitude hypoxia.METHODS: Establishing a hypoxia mouse model of high altitude, we utilized single-cell transcriptome sequencing to identify key cell types involved in regulating intestinal mucosal barrier damage caused by high-altitude hypoxia. Through proteomic analysis of colonic tissue Mψ and metabolomic analysis of Mψ metabolites, we determined crucial proteins and metabolic pathways influencing intestinal mucosal barrier damage induced by high-altitude hypoxia. Mechanistic validation was conducted using RAW264.7 Mψ in vitro by assessing cell viability with CCK-8 assay following treatment with different metabolites. The hypoxia mouse model was further validated in vivo by transplanting gut microbiota of Firmicutes. Histological examinations through H&E staining assessed colonic cell morphology and structure, while the FITC-dextran assay evaluated intestinal tissue permeability. Hypoxia probe signal intensity in mouse colonic tissue was assessed via metronidazole staining. Various experimental techniques, including flow cytometry, immunofluorescence, ELISA, Western blot, and RT-qPCR, were employed to study the impact of HIF-1α/glycolysis pathway and different gut microbiota metabolites on Mψ polarization.RESULTS: Bioinformatics analysis revealed that single-cell transcriptomics identified Mψ as a key cell type, with their polarization pattern playing a crucial role in the intestinal mucosal barrier damage induced by high-altitude hypoxia. Proteomics combined with metabolomics analysis indicated that HIF-1α and the glycolytic pathway are pivotal proteins and signaling pathways in the intestinal mucosal barrier damage caused by high-altitude hypoxia. In vitro cell experiments demonstrated that activation of the glycolytic pathway by HIF-1α led to a significant upregulation of mRNA levels of IL-1β, IL-6, and TNFα while downregulating mRNA levels of IL-10 and TGFβ, thereby promoting M1 Mψ activation and inhibiting M2 Mψ polarization. Further mechanistic validation experiments revealed that the metabolite butyric acid from Firmicutes bacteria significantly downregulated the protein expression of HIF-1α, GCK, PFK, PKM, and LDH, thus inhibiting the HIF-1α/glycolytic pathway that suppresses M1 Mψ and activates M2 Mψ, consequently alleviating the hypoxic symptoms in RAW264.7 cells. Subsequent animal experiments confirmed that Firmicutes bacteria inhibited the HIF-1α/glycolytic pathway to modulate Mψ polarization, thereby mitigating intestinal mucosal barrier damage in high-altitude hypoxic mice.CONCLUSION: The study reveals that firmicutes, through the inhibition of the HIF-1α/glycolysis pathway, mitigate Mψ polarization, thereby alleviating intrinsic mucosal barrier injury in high-altitude hypoxia.PMID:39498080 | PMC:PMC11534185 | DOI:10.1016/j.heliyon.2024.e38220

Heliyon. 2024 Oct 18;10(20):e39554. doi: 10.1016/j.heliyon.2024.e39554. eCollection 2024 Oct 30.ABSTRACTOBJECTIVE: Blood-stasis syndrome (BSS), an important syndrome in Type 2 diabetes mellitus(T2DM), is associated with the pathophysiological mechanisms underlying diabetic vascular complications. However, BSS has not been fully characterized as of yet. Due to the strong correlation between BSS and vasculopathy, we hypothesized that the metabolic characteristics of BSS in T2DM (T2DM BSS) are highly specific. By combining untargeted metabolomics and pseudotargeted lipidomics approaches, this study aimed to comprehensively elucidate the metabolic traits of T2DM BSS, thereby providing novel insights into the vascular complications of diabetes and establishing a foundation for precision medicine.METHODS: The survey was conducted in Haidian District of Beijing from October 2021 to November 2021, and data collection was completed in January 2022. Liquid chromatography-mass spectrometry (LC-MS) based untargeted metabolomics and liquid chromatography-tandem mass spectrometry (LC-MS/MS) based pseudotargeted lipidomics were performed to detect metabolites and lipids. Multivariate, univariate, and pathway analyses were utilized to investigate metabolic changes. The unique metabolites of BSS were obtained by inter-group comparisons and screening. Receiver operating characteristic (ROC) curve analysis was performed to evaluate the diagnostic accuracy of metabolites.RESULTS: A total of 1189 participants completed the survey, of which 120 participants were recruited in this study and further divided into a discovery cohort (n = 90) and a validation cohort (n = 30). Among these, 21 participants were selected for psuedotargeted lipidomics analysis. 81 metabolites, mainly involving glycerophospholipids, were identified as unique metabolites of T2DM BSS, while fatty acyls (FAs) were identified as unique lipids. T2DM BSS was associated with significant dysregulation in glycerophospholipid metabolism and choline metabolism within cancer pathways as major metabolic disturbances. Furthermore, analyses of both the discovery and validation cohorts, indicated that LysoPC (20:5(5Z,8Z,11Z,14Z,17Z)/0:0) and LysoPC (15:0) had the greatest impact on distinguishing BSS.CONCLUSION: Altered levels of glycerophospholipids and FAs have been associated with T2DM BSS. These results provide valuable mechanistic insights linked with the development of BSS in T2DM subjects.PMID:39498030 | PMC:PMC11533630 | DOI:10.1016/j.heliyon.2024.e39554

Heliyon. 2024 Oct 9;10(20):e39104. doi: 10.1016/j.heliyon.2024.e39104. eCollection 2024 Oct 30.ABSTRACTBACKGROUND: Amyloid beta (Aβ) accumulation in the brain is one of the earliest findings in Alzheimer's disease (AD). The dog is a natural animal model for amyloid processing and early brain amyloid pathology. The goal of this study is to examine which differences in metabolomic profiles in cerebrospinal fluid (CSF) could be detected in dogs with a difference in CSF Aβ concentrations before amyloid accumulation occurs.METHOD: Metabolic profiling was performed on CSF from 4 to 8 year old dogs with different CSF Aβ concentrations.RESULTS: Metabolomic profiling of CSF showed differences in brain energy metabolism. More specifically, increases in N-acetylation of amino acids and amino sugars, creatine and pentose metabolism, and a decrease in tricarboxylic acid (TCA) cycle were seen in dogs with a high CSF Aβ concentration. In addition, signs of elevated oxidative stress, higher methionine, lipid and nucleotide metabolism and increased levels of cysteine, myo-inositol and trimethylamine N-oxide were noted in these animals.CONCLUSIONS: Differences in energy metabolism and stress mediated metabolic changes are seen in the brain of dogs with different CSF Aβ concentrations, before any amyloid deposition occurs. Similar metabolic changes, as in the high Aβ dogs, have been described in AD in humans and/or transgenic AD mice, some of them in very early phases.GENERAL SIGNIFICANCE: The differences observed in metabolomic profiles could help in identifying potential biomarkers for an increased risk of developing amyloid pathology in the brain and open the door to the evaluation of preventive treatments for amyloid pathology in humans.PMID:39498015 | PMC:PMC11532822 | DOI:10.1016/j.heliyon.2024.e39104

Heliyon. 2024 Oct 1;10(20):e38788. doi: 10.1016/j.heliyon.2024.e38788. eCollection 2024 Oct 30.ABSTRACTUntargeted metabolomics can be used for the comprehensive analysis of metabolite profiles in biological samples without preset targets, making them particularly suitable for exploring metabolic characteristics and potential mechanisms in complex diseases. Therefore, in this study, we employed gas chromatography-mass spectrometry (GC-MS) and liquid chromatography-mass spectrometry (LC-MS) techniques to analyze the serum metabolic characteristics of patients with pregnancy-associated venous thromboembolism (PA-VTE). In this study, 11 pregnant women with VTE and 11 healthy pregnant women were included in the experimental and control groups, respectively. Using GC-MS, we identified 325 metabolites, with the highest proportion being organic oxygen compounds. Using LC-MS, we identified 3104 metabolites, with the highest proportion being acylcarnitine. The results revealed significant differences in the levels of lipids, organic compounds, and other metabolites between patients compared to healthy pregnant women. Pathways such as pyrimidine metabolism, linoleic acid metabolism, and mineral absorption differed between patients with PA-VTE and controls. Furthermore, we identified biomarkers associated with metabolic processes, such as fatty acids and amino acids (2-hydroxyhexanedioic acid, hexadecenal, palmitoylethanolamide, glycerol-1-phosphate, and N-acetyl-beta-D-glucosamine). These findings revealed the metabolic characteristics of PA-VTE and provided important clues for further research on its pathophysiological mechanisms. Our findings may contribute to the development of new diagnostic markers and support early diagnosis and treatment of PA-VTE.PMID:39497961 | PMC:PMC11532815 | DOI:10.1016/j.heliyon.2024.e38788

Front Cell Infect Microbiol. 2024 Oct 21;14:1455605. doi: 10.3389/fcimb.2024.1455605. eCollection 2024.ABSTRACTThe increasing prevalence of non-tuberculous mycobacterium (NTM) infections alongside tuberculosis (TB) underscores a pressing public health challenge. Yet, the mechanisms governing their infection within the lung remain poorly understood. Here, we integrate metagenomic sequencing, metabolomic sequencing, machine learning classifiers, SparCC, and MetOrigin methods to profile bronchoalveolar lavage fluid (BALF) samples from NTM/TB patients. Our aim is to unravel the intricate interplay between lung microbial communities and NTM/Mycobacterium tuberculosis infections. Our investigation reveals a discernible reduction in the compositional diversity of the lung microbiota and a diminished degree of mutual interaction concomitant with NTM/TB infections. Notably, NTM patients exhibit a distinct microbial community characterized by marked specialization and notable enrichment of Pseudomonas aeruginosa and Staphylococcus aureus, driving pronounced niche specialization for NTM infection. Simultaneously, these microbial shifts significantly disrupt tryptophan metabolism in NTM infection, leading to an elevation of kynurenine. Mycobacterium intracellulare, Mycobacterium paraintracellulare, Mycobacterium abscessus, and Pseudomonas aeruginosa have been implicated in the metabolic pathways associated with the conversion of indole to tryptophan via tryptophan synthase within NTM patients. Additionally, indoleamine-2,3-dioxygenase converts tryptophan into kynurenine, fostering an immunosuppressive milieu during NTM infection. This strategic modulation supports microbial persistence, enabling evasion from immune surveillance and perpetuating a protracted state of NTM infection. The elucidation of these nuanced microbial and metabolic dynamics provides a profound understanding of the intricate processes underlying NTM and TB infections, offering potential avenues for therapeutic intervention and management.PMID:39497924 | PMC:PMC11532197 | DOI:10.3389/fcimb.2024.1455605

Drug Des Devel Ther. 2024 Oct 31;18:4859-4875. doi: 10.2147/DDDT.S475838. eCollection 2024.ABSTRACTBACKGROUND: Rehmanniae Radix (RR) has received attention for its antithrombotic effect. However, few studies have independently explored the bioactive components responsible for its antithrombotic bioactivity and the potential mechanism. We aimed to reveal the antithrombotic mechanisms of RR by using metabolomics integrated with network pharmacology.METHODS: A thrombosis model was established by intraperitoneal injection of type I carrageenan in rats, and antithrombotic function was evaluated at different doses of RR. Metabolomics was used to identify the differential metabolites in the serum. Network pharmacology was then applied to identify the potential targets for the antithrombotic activity of the RR. An integrated network of metabolomics and network pharmacology was constructed using Cytoscape. Finally, key targets were verified using molecular docking.RESULTS: RR at 5.4 g/kg significantly alleviated the thrombosis. Thirteen potentially significant metabolites were involved in the therapeutic effects of RR against thrombosis, most of which were regulated for recovery after RR treatment. An integrated analysis of metabolomics and network pharmacology showed that the antithrombosis effect of RR was closely associated with the regulation of PLA2G2A, PTGS1, ALOX5, and CYP2C9. Molecular docking showed high affinity between the key targets and components of RR. We speculated that the components of RR, such as catalpol, ferulic acid methyl ester, and methyl 4-hydroxycinnamate, might act on key proteins, including PLA2G2A, PTGS1, and ALOX5, to exert antithrombosis effects.CONCLUSION: This study confirmed the antithrombotic effect of high-dose RR, revealed the antithrombotic mechanism and potential material basis, and laid the foundation for the antithrombotic clinical application of RR. Furthermore, it provides a successful case reference for screening natural herbal components and exploring their potential pharmacological mechanisms.PMID:39497835 | PMC:PMC11533886 | DOI:10.2147/DDDT.S475838