PubMed

Animal Model Exp Med. 2024 Oct 28. doi: 10.1002/ame2.12486. Online ahead of print.ABSTRACTBACKGROUND: Metabolic abnormalities are considered to play a key regulatory role in vascular remodeling of pulmonary arterial hypertension. However, to date, there is a paucity of research documenting the changes in metabolome profiles within the supernatants of pulmonary artery smooth muscle cells (PASMC) during their transition from a contractile to a synthetic phenotype.METHODS: CCK-8 and Edu staining assays were used to evaluate the cell viability and proliferation of human PASMCs. IncuCyte ZOOM imaging system was used to continuously and automatically detect the migration of the PASMCs. A targeted metabolomics profiling was performed to quantitatively analyze 121 metabolites in the supernatant. Orthogonal partial least squares discriminant analysis was used to discriminate between PDGF-BB-induced PASMCs and controls. Metabolite set enrichment analysis was adapted to exploit the most disturbed metabolic pathways.RESULTS: Human PASMCs exhibited a transformation from contractile phenotype to synthetic phenotype after PDGF-BB induction, along with a significant increase in cell viability, proliferation, and migration. Metabolites in the supernatants of PASMCs treated with or without PDGF-BB were well profiled. Eleven metabolites were found to be significantly upregulated, whereas seven metabolites were downregulated in the supernatants of PASMCs induced by PDGF-BB compared to the vehicle-treated cells. Fourteen pathways were involved, and pyruvate metabolism pathway was ranked first with the highest enrichment impact followed by glycolysis/gluconeogenesis and pyrimidine metabolism.CONCLUSIONS: Significant and extensive metabolic abnormalities occurred during the phenotypic transformation of PASMCs. Disturbance of pyruvate metabolism pathway might contribute to pulmonary vascular remodeling.PMID:39468692 | DOI:10.1002/ame2.12486

Stem Cell Res Ther. 2024 Oct 29;15(1):383. doi: 10.1186/s13287-024-03986-9.ABSTRACTBACKGROUND: The prevalence of age-related disorders, particularly in neurological and cardiovascular systems, is an increasing global health concern. Mesenchymal stem cell (MSC) therapy, particularly using human umbilical cord-derived MSCs (HUCMSCs), has shown promise in mitigating these disorders. This study investigates the effects of HUCMSCs on aging-related conditions in a senescence-accelerated mouse model (SAMP8), with a focus on DNA damage, gut microbiota alterations, and metabolic changes.METHODS: SAMP8 mice were treated with clinical-grade HUCMSCs via intraperitoneal injections. Behavioral and physical assessments were conducted to evaluate cognitive and motor functions. The Single-Strand Break Mapping at Nucleotide Genome Level (SSiNGLe) method was employed to assess DNA single-strand breaks (SSBs) across the genome, with particular attention to exonic regions and transcription start sites. Gut microbiota composition was analyzed using 16S rRNA sequencing, and carboxyl metabolomic profiling was performed to identify changes in circulating metabolites.RESULTS: HUCMSC treatment significantly improved motor coordination and reduced anxiety in SAMP8 mice. SSiNGLe analysis revealed a notable reduction in DNA SSBs in MSC-treated mice, especially in critical genomic regions, suggesting that HUCMSCs may mitigate age-related DNA damage. The functional annotation of the DNA breaktome indicated a potential link between reduced DNA damage and altered metabolic pathways. Additionally, beneficial alterations in gut microbiota were observed, including an increase in short-chain fatty acid (SCFA)-producing bacteria, which correlated with improved metabolic profiles.CONCLUSION: The administration of HUCMSCs in SAMP8 mice not only reduces DNA damage but also induces favorable changes in gut microbiota and metabolism. The observed alterations in DNA break patterns, along with specific changes in microbiota and metabolic profiles, suggest that these could serve as potential biomarkers for evaluating the efficacy of HUCMSCs in treating age-related disorders. This highlights a promising avenue for the development of new therapeutic strategies that leverage these biomarkers, to enhance the effectiveness of HUCMSC-based treatments for aging-associated diseases.PMID:39468666 | DOI:10.1186/s13287-024-03986-9

Virol J. 2024 Oct 28;21(1):266. doi: 10.1186/s12985-024-02523-7.ABSTRACTBACKGROUND: The metabolomic profiles of individuals with different clinical manifestations of severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2) infection have not been clearly characterized.METHODS: We performed metabolomics analysis of 166 individuals, including 62 healthy controls, 16 individuals with asymptomatic SARS-CoV-2 infection, and 88 patients with moderate (n = 42) and severe (n = 46) symptomatic 2019 coronavirus disease (COVID-19; 17 with short-term and 34 with long-term nucleic-acid test positivity). By examining differential expression, we identified candidate metabolites associated with different SARS-CoV-2 infection presentations. Functional and machine learning analyses were performed to explore the metabolites' functions and verify their candidacy as biomarkers.RESULTS: A total of 417 metabolites were detected. We discovered 70 differentially expressed metabolites that may help differentiate asymptomatic infections from healthy controls and COVID-19 patients with different disease severity. Cyclamic acid and N-Acetylneuraminic Acid were identified to distinguish symptomatic infected patients and asymptomatic infected patients. Shikimic Acid, Glycyrrhetinic acid and 3-Hydroxybutyrate can supply significant insights for distinguishing short-term and long-term nucleic-acid test positivity.CONCLUSION: Metabolomic profiling may highlight novel biomarkers for the identification of individuals with asymptomatic SARS-CoV-2 infection and further our understanding of the molecular pathogenesis of COVID-19.PMID:39468659 | DOI:10.1186/s12985-024-02523-7

BMC Plant Biol. 2024 Oct 29;24(1):1022. doi: 10.1186/s12870-024-05719-9.ABSTRACTBACKGROUND: Exploring the adaptive responses of onions (Allium cepa L.) to salinity reveals a critical challenge for this salt-sensitive crop. While previous studies have concentrated on the effects of sodium (Na+), this research highlights the substantial yet less-explored impact of chloride (Cl-) accumulation. Two onion varieties were subjected to treatments with different sodium and chloride containing salts to observe early metabolic responses without causing toxicity.RESULTS: The initial effects of salinity on onions showed increased concentrations of both ions, with Cl- having a more pronounced impact on metabolic profiles than Na+. Onions initially adapt to salinity by first altering their organic acid concentrations, which are critical for essential functions such as energy production and stress response. The landrace Birnförmige exhibited more effective regulation of its Na+/K+ balance and a milder response to Cl- compared to the hybrid Hytech. Metabolic alterations were analyzed using advanced techniques, revealing specific responses in leaves and bulbs to Cl- accumulation, with significant changes observed in organic acids involved in the TCA cycle, such as fumaric acid, and succinic acid, in both varieties. Additionally, there was a variety-specific increase in ethanolamine in Birnförmige and lysine in Hytech in response to Cl- accumulation.CONCLUSION: This comprehensive study offers new insights into onion ion regulation and stress adaptation during the initial stages of salinity exposure, emphasizing the importance of considering both Na+ and Cl- when assessing plant responses to salinity.PMID:39468439 | DOI:10.1186/s12870-024-05719-9

Biomed Chromatogr. 2024 Oct 28:e6032. doi: 10.1002/bmc.6032. Online ahead of print.ABSTRACTImprovement of strategies to treat heart failure (HF) has been a longstanding global goal and challenge. Shen-Fu formula (SF), as a classic herbal preparation, has demonstrated efficacy in treating HF in clinical settings. However, further understanding of the therapeutic mechanisms of SF is required. In this study, metabolomics and 16S rDNA sequencing were used to analyze the effects of SF on metabolic profiling and gut microbiota in HF rats. After 4 weeks of SF treatment, the cardiac function of HF rats showed improvement, with a significant increase in ejection fraction and fractional shortening, as well as a significant decrease in left ventricular volume and mass. Metabolomics study revealed that SF regulates the levels of substances related to energy metabolism, primarily involving lysophosphatidylcholines and polyunsaturated fatty acids. In addition, we found that SF regulates the structure of the microbial community in HF rats and modulates the balance between probiotic and pathogenic bacteria. Furthermore, the SF combination exhibited a superior effect that was better than the use of each herb separately. These results demonstrate the potential of SF therapy in the management of HF and highlight the role of SF in regulating fatty acid metabolism and gut microbiome during HF.PMID:39468419 | DOI:10.1002/bmc.6032

Sci Rep. 2024 Oct 28;14(1):25755. doi: 10.1038/s41598-024-77352-3.ABSTRACTCardiovascular disease (CVD) is the leading cause of mortality, disability, and healthcare costs, with a significant impact on the elderly and contributing to premature deaths across various age groups, including those below age 70. Despite decades of transformative discoveries and clinical efforts, the challenges of diagnosis, prevention, and treatment of CVD persist on a massive scale. This study aimed to unravel potential CVD-associated biomarkers and establish a machine learning model for the risk assessment of CVD. Untargeted metabolic assay with ultra-high performance liquid chromatography-tandem mass spectrometry and routine clinical biochemistry test were undertaken on the fasting venous blood specimens from 57 subjects. Four relevant clinical traits and 164 CVD-associated metabolites were identified, especially those related to glycerophospholipid metabolism and biosynthesis of unsaturated fatty acids. The machine learning model achieved from an integrated biomarker panel of palmitic amide, oleic acid, 138-pos (the 138th detected metabolomic feature in positive ion mode), phosphatidylcholine, linoleic acid, age, direct bilirubin, and inorganic phosphate, was able to improve the accuracy of CVD risk assessment up to a high satisfactory value of 0.91. The findings indicate that disorders in the metabolic processes of biological membranes and energy are significantly associated with increased risk of vascular damage in CVD patients. With machine learning methods, the pivotal metabolites and clinical biomarkers offer a promising potential for the efficient risk assessment and diagnosis of CVD.PMID:39468233 | DOI:10.1038/s41598-024-77352-3

Sci Rep. 2024 Oct 28;14(1):25848. doi: 10.1038/s41598-024-76835-7.ABSTRACTCoronary artery disease (CAD) remains a leading cause of death worldwide and imposes a substantial socioeconomic burden on healthcare. Improving risk stratification in clinical practice could help to combat this burden. As amino acids are biologically active metabolites whose involvement in CAD remains largely unknown, this study investigated associations between circulating amino acid levels and CAD phenotypes. A high-coverage quantitative liquid chromatography-mass spectrometry approach was applied to acquire the serum amino acids profile of age- and sex-coarsened-matched patients with CAD (n = 46, 66.9 years, 74.7% male) and healthy individuals (n = 120, 67.4 years, 74.7% male) from the COmPLETE study. Multiple linear regressions were performed to investigate associations between amino acid levels and (a) the health status (CAD vs. healthy), (b) the number of affected coronary arteries, or (c) the left ventricular ejection fraction. Regressions were adjusted for age, sex, daily physical activity, sampling, and fasting time. Urea cycle amino acids (ornithine, citrulline, homocitrulline, aspartate, and arginine) were significantly and negatively associated with CAD, the number of affected coronary arteries, and the left ventricular ejection fraction. Lysine, histidine, and the glutamine/glutamate ratio were also significantly and negatively associated with the CAD phenotypes. Overall, patients with CAD displayed lower levels of urea cycle amino acids, highlighting a potential role for urea cycle amino acid profiling in cardiovascular risk stratification.Trial registrationThe study was registered on https://www.clinicaltrials.gov (NCT03986892) on June 5, 2019.PMID:39468229 | DOI:10.1038/s41598-024-76835-7

Sci Rep. 2024 Oct 28;14(1):25743. doi: 10.1038/s41598-024-75831-1.ABSTRACTBile acids (BA) are supposed to cause metabolic alterations after bariatric surgery (BS). Here we report the longitudinal dynamics of the human BA metabolome by LC-MS/MS after BS versus low calory diet (LCD) in two obesity cohorts over 12 months. Rapid and persistent oscillations of 23 BA subspecies could be identified with highly specific patterns in BS vs. LCD. TCDCA, GLCA, and TLCA represent most promising candidates for drug development.PMID:39468179 | DOI:10.1038/s41598-024-75831-1

Sci Rep. 2024 Oct 28;14(1):25853. doi: 10.1038/s41598-024-75785-4.ABSTRACTMicro- and nanoplastics can interact with various biologically active compounds forming aggregates of which the effects have yet to be understood. To this end, it is vital to characterize these aggregates of key compounds and micro- and nanoplastics. In this study, we examined the adsorption of the antibiotic tetracycline on four different nanoplastics, made of polyethylene (PE), polypropylene (PP), polystyrene (PS), and nylon 6,6 (N66) through chemical computation. Two separate approaches were employed to generate relevant conformations of the tetracycline-plastic complexes. In the first approach, we folded the plastic particle from individual polymer chains in the presence of the drug through multiple separate simulated annealing setups. In the second, more biased, approach, the neat plastic was pre-folded through simulated annealing, and the drug was placed at its surface in multiple orientations. The former approach was clearly superior to the other, obtaining lower energy conformations even with the antibiotic buried inside the plastic particle. Quantum chemical calculations on the structures revealed that the adsorption energies show a trend of decreasing affinity to the drug in the order of N66> PS> PP> PE. In vitro experiments on tetracycline-sensitive cell lines demonstrated that, in qualitative agreement with the calculations, the biological activity of tetracycline drops significantly in the presence of PS particles. Preliminary molecular dynamics simulations on two selected aggregates with each plastic served as first stability test of the aggregates under influence of temperature and in water. We found that all the selected cases persisted in water indicating that the aggregates may be stable also in more realistic environments. In summary, our data show that the interaction of micro- and nanoplastics with drugs can alter drug absorption, facilitate drug transport to new locations, and increase local antibiotic concentrations, potentially attenuating antibiotic effect and at the same time promoting antibiotic resistance.PMID:39468142 | DOI:10.1038/s41598-024-75785-4

Sci Rep. 2024 Oct 28;14(1):25825. doi: 10.1038/s41598-024-71439-7.ABSTRACTIn this study, a comprehensive methodology combining machine learning and statistical analysis was employed to investigate alterations in the metabolite profiles, including lipids, of breast cancer tissues and their subtypes. By integrating biological and machine learning feature selection techniques, along with univariate and multivariate analyses, a notable lipid signature was identified in breast cancer tissues. The results revealed elevated levels of saturated and monounsaturated phospholipids in breast cancer tissues, consistent with external validation findings. Additionally, lipidomics analysis in both the original and validation datasets indicated lower levels of most triacylglycerols compared to non-cancerous tissues, suggesting potential alterations in lipid storage and metabolism within cancer cells. Analysis of cancer subtypes revealed that levels of PC 30:0 were relatively reduced in HER2(-) samples that were ER(+) and PR(+) compared to those that were ER(-) and PR(-). Conversely, HER2(+) tumors, which were ER(-) and PR(-), exhibited increased concentrations of PC 30:0. This increase could potentially be linked to the role of Stearoyl-CoA-Desaturase 1 in breast cancer. Comprehensive metabolomic analyses of breast cancer can offer crucial insights into cancer development, aiding in early detection and treatment evaluation of this devastating disease.PMID:39468100 | DOI:10.1038/s41598-024-71439-7

Anal Bioanal Chem. 2024 Oct 29. doi: 10.1007/s00216-024-05563-8. Online ahead of print.ABSTRACTThe preparation of cellular metabolomics samples and how to achieve comprehensive coverage of different polar metabolites in cell samples in the analysis pose a challenge for cellular metabolomics. In this study, we optimized a metabolomics protocol based on ultra-high-performance liquid chromatography high-resolution mass spectrometry (UPLC/HRMS) for the extraction and detection of metabolites in A549 cells and exploration of the intervention effect of Qi-Yu-San-Long decoction (QYSLD) on A549 cells. The results indicate that the lowest level of ATP leakage was observed when A549 cells were quenched under liquid nitrogen. MeOH/chloroform/H2O (1:2:1) extraction yielded more chromatographic peaks and excellent reproducibility, and the relative extraction efficiency of most target metabolites was also high. And we optimized the chromatographic separation conditions in both HILIC and RPLC modes, enabling comprehensive detection and analysis of metabolites with varying polarities. Then, we applied the optimized method to UPLC-Q-TOF/MS-based metabolomics of A549 cells to study the mechanism of QYSLD intervention in non-small cell lung cancer (NSCLC). The CCK-8, EdU staining, and cell cycle assay showed that QYSLD inhibited the proliferation of A549 cells by interfering with the cell cycle and blocking them in the G1 phase. A total of 36 differential metabolites associated with the antitumor effects of QYSLD on NSCLC were identified, mainly involving nicotinate and nicotinamide metabolism, sphingolipid metabolism, and glycerophospholipid metabolism. And western blotting confirmed that the change in 1-methylnicotinamide levels after QYSLD intervention was associated with the inhibition of nicotinamide N-methyltransferase expression in A549 cells.PMID:39467912 | DOI:10.1007/s00216-024-05563-8

Diabetes Obes Metab. 2024 Oct 28. doi: 10.1111/dom.16039. Online ahead of print.NO ABSTRACTPMID:39467812 | DOI:10.1111/dom.16039

Sheng Wu Gong Cheng Xue Bao. 2024 Oct 25;40(10):3548-3560. doi: 10.13345/j.cjb.230852.ABSTRACTWith unique advantages, gibberellin GA4 has broad application prospects. To explore the regulatory mechanism for the biosynthesis of GA4, we combined liquid chromatography-mass spectrometry (LC-MS)-based metabolomics with principal component analysis (principal component analysis, PCA) and partial least squares-discriminant analysis (PLS-DA) to screen and identify the differential metabolites between the GA4-producing strains S (industrial high-yield strain CGMCC 17793) and wild-type strain Y (NRRL 13620) of Gibberella fujikuroi fermented for the same time and the differential metabolites of strain S fermented for different time periods. KEGG and MBROLE 2.0 were used to analyze the metabolic pathways involving the differential metabolites. The results showed that compared with strain Y, strain S significantly upregulated and downregulated 107 and 66, 136 and 47, and 94 and 65 metabolites on days 3, 6, and 9, respectively. Compared with that on day 3 of fermentation, strain S upregulated 29 metabolites and downregulated 40 metabolites on day 6 and upregulated 52 metabolites and downregulated 67 metabolites on day 9. The differential metabolites between strain S and strain Y after fermentation for the same time were mainly enriched in amino acid metabolism, tricarboxylic acid (TCA) cycle, and terpenoid biosynthesis. The differential metabolites of strain S after fermentation for different time periods were mainly enriched in amino acid and sugar metabolism pathways. Pathway annotation results indicated that strain S increased the production of acetyl-CoA by promoting amino acid and sugar metabolism and TCA cycle, thereby enhancing the mevalonic acid pathway and increasing the content of isopentenyl pyrophosphate (IPP), a precursor for the synthesis of terpenoids, which ultimately led to increased GA4 production. This study explored the metabolic rules of Gibberella fujikuroi GA4, providing a theoretical basis for regulating Gibberella fujikuroi to improve GA4 production.PMID:39467750 | DOI:10.13345/j.cjb.230852

Korean J Physiol Pharmacol. 2024 Nov 1;28(6):549-558. doi: 10.4196/kjpp.2024.28.6.549.ABSTRACTSepsis triggers a systemic inflammatory response that can lead to acute lung injury (ALI). Salidroside (SAL) has many pharmacological activities such as antiinflammatory and anti-oxidation. The objective of the study was to explore the mechanism of SAL on ALI caused by sepsis. A model of ALI in septic mice was established by cecal ligation and puncture. Following SAL treatment, the effect of SAL on the ferroptosis pathway in mice was analyzed. The pathological damage of lung tissue, the levels of inflammatory factors and apoptosis in bronchoalveolar lavage fluid (BALF) of mice were evaluated, and the changes of gene expression level and metabolite content abundance were explored by combining transcriptomics and metabolomics analysis. The effect of SAL on ferroptosis in mice with lung injury was observed by intraperitoneal injection of ferroptosis activator Erastin or ferroptosis inhibitor Ferrostatin-1 to promote or inhibit ferroptosis in mice. SAL significantly alleviated the pathological damage of lung tissue, decreased the number of TUNEL positive cells and the levels of TNF-α, IL-1β, IL-6 in BALF, and increased the level of IL- 10 in lung injury mice. Moreover, the Fe2+ content and malondialdehyde decreased significantly, the reactive oxygen species and glutathione content increased significantly, and the arachidonic acid metabolites 20-hydroxyeicosatetraenoic acid (20- HETE), (5Z, 8Z, 10E, 14Z)-12-Oxoeicosa-5,8,10,14-tetraenoic acid (12-OxOETE), (5Z, 8Z, 10E, 14Z)-(12S)-12-Hydroxyeicosa-5,8,10,14-tetraenoic acid (12(S)-HETE), (5Z, 8Z, 14Z)-11,12-Dihydroxyeicosa-5,8,14-trienoic acid (11,12-DHET), (5Z, 11Z, 14Z)-8,9- Dihydroxyeicosa-5,11,14-trienoic acid, Leukotriene B4, Leukotriene D4 were significantly up-regulated after SAL treatment. Salidroside alleviates ALI caused by sepsis by inhibiting ferroptosis.PMID:39467718 | DOI:10.4196/kjpp.2024.28.6.549

Eur Respir J. 2024 Oct 28:2400298. doi: 10.1183/13993003.00298-2024. Online ahead of print.ABSTRACTBACKGROUND: Limited studies have investigated the influence of body mass index (BMI) trajectories on lung function covering the entire growth period.METHODS: We conducted a prospective study utilizing data from the Swedish BAMSE birth cohort. Latent class mixture modelling was employed to examine the diversity in BMI z-scores from birth to 24 years of age. Participants with four or more BMI z-scores were included (n=3204, 78·4%). Pre-bronchodilator (BD) spirometry was tested at 8, 16, and 24 years, while post-BD spirometry, multiple-breath nitrogen washout (for lung clearance index, LCI), and urinary metabolomics data were assessed at 24 years.RESULTS: Six distinct BMI development groups were identified. Compared to the stable normal BMI group, the accelerated increasing BMI group exhibited reduced pre- and post-BD FEV1/FVC ratio z scores (β=-0·26, 95% CI=[-0·44, -0·08], and -0·22, [ -0·39, -0·05], respectively), along with elevated LCI (0·30, [0·22, 0·42]) at 24 years. The persistent high BMI group demonstrated lower FEV1, and FVC z scores growth between 16 and 24 years (-0.24, [-0.42, -0.05], and -0.27, [-0.45, -0.01], respectively), and elevated LCI (0·20, [0·03, 0·39]) at 24 years. However, those impairments were not observed in the accelerated resolving BMI group. Conversely, the persistent low BMI group displayed persistently decreased FEV1, and FVC from 8 to 24 years, as well as decreased lung function growth. Additionally, histidine-related metabolites were associated with pre- and post-BD FEV1 (hypergeometric FDR=0.008 and <0.001, respectively).CONCLUSIONS: Early interventions aiming for normal BMI during childhood may contribute to improved lung health later in life.PMID:39467611 | DOI:10.1183/13993003.00298-2024

Lifestyle Genom. 2024 Oct 28:1-23. doi: 10.1159/000541909. Online ahead of print.ABSTRACTBACKGROUND: Cardiometabolic diseases pose a significant threat to global public health, with a substantial majority of cardiovascular disease mortality (more than three-quarters) occurring in low- and middle-income countries. There have been remarkable advances in recent years in identifying genetic variants that alter disease susceptibility by interacting with dietary factors. Despite the remarkable progress, several factors need to be considered before the translation of nutrigenetics insights to personalised and precision nutrition in ethnically diverse populations. Some of these factors include variations in genetic predispositions, cultural and lifestyle factors as well as socioeconomic factors.SUMMARY: This review aims to explore the factors that need to be considered in bridging the gap between existing nutrigenetics insights and the implementation of personalised and precision nutrition across diverse ethnicities. Several factors might influence variations among individuals with regards to dietary exposures and metabolic responses and these include genetic diversity, cultural and lifestyle factors as well as socioeconomic factors. A multi-omics approach involving disciplines such as metabolomics, epigenetics and the gut microbiome might contribute to improved understanding of the underlying mechanisms of gene-diet interactions and the implementation of precision nutrition although more research is needed to confirm the practicality and effectiveness of this approach. Conducting gene-diet interaction studies in diverse populations is essential and studies utilising large sample sizes are required as this improves the power to detect interactions with minimal effect sizes. Future studies should focus on replicating initial findings to enhance reliability and promote comparison across studies. Once findings have been replicated in independent samples, dietary intervention studies will be required to further strengthen the evidence and facilitate their application in clinical practice.KEY MESSAGES: Nutrigenetics has a potential role to play in the prevention and management of cardiometabolic diseases. Conducting gene-diet interaction studies in diverse populations is essential giving the genetic diversity and variations in dietary patterns. Integrating data from disciplines such as metabolomics, epigenetics and the gut microbiome could help in early identification of individuals at risk of cardiometabolic diseases as well as the implementation of precise dietary interventions for preventing and managing cardiometabolic diseases.PMID:39467522 | DOI:10.1159/000541909

Food Chem. 2024 Oct 19;464(Pt 2):141713. doi: 10.1016/j.foodchem.2024.141713. Online ahead of print.ABSTRACTWithering is an important process for achieving high-quality flavor in tea. In this study, histological, metabolomics, transcriptomics, and biochemical analyses were combined to comprehensively explore the accumulation and molecular regulatory profiles of quality metabolites during tea withering. The results of tissue staining indicated that as the water content decreased, the vitality of the nucleus weakened, cytoplasmic content increased, flavone content decreased, and proteins degraded. Omics analysis showed that the total content of soluble sugars, free amino acids, and terpenoids increased, whereas that of catechins decreased significantly, although the caffeine content barely changed. Biochemical analysis revealed that the translated products of genes CSA010827 and CSA001819 catalyzed the biosynthesis of galactose and flavanol 3-O-glycosides, respectively, thereby increasing the content of soluble sugars and contributing to the astringent taste. Overall, by combining omics with histological and biochemical analyses, we revealed the metabolic profile and possible molecular mechanisms during the withering process of tea.PMID:39467504 | DOI:10.1016/j.foodchem.2024.141713

Talanta. 2024 Oct 24;283:127094. doi: 10.1016/j.talanta.2024.127094. Online ahead of print.ABSTRACTInvestigation of drug-microbial interactions has gained prominence due to the increasing need to study pharmacomicrobiomics. Previous research has revealed the microbiome's role in drug metabolism, influencing efficacy, bioavailability, and toxicity. Several potential interactions have reported between drugs and microbes, including bioaccumulation, biotransformation, and the influence of drugs on microbial growth. To facilitate the investigation of drug-microbial interactions, in this study, we present an integrated platform and procedure for investigating drug-microbial interactions, focusing on biotransformation, bioaccumulation, metabolomics, exometabolomics, lipidomics, and exolipidomics. To illustrate the feasibility of this platform, we examined the interactions between digoxin and Lactiplantibacillus pentosus (L. pentosus), revealing previously unknown interactions. Although the growth of L. pentosus was unaffected by digoxin, metabolomics, exometabolomics, lipidomics, and exolipidomics analyses revealed digoxin's impact on metabolites and lipids inside and outside L. pentosus. Additionally, we utilized a validated liquid chromatography-mass spectrometry quantification platform to evaluate digoxin biotransformation and bioaccumulation levels by L. pentosus. After accurately quantifying digoxin in the supernatant and pellet, we determined that approximately 8.7 % of digoxin was biotransformed by L. pentosus. Exolipidomics analysis further supported digoxin biotransformation, identifying digoxigenin and its metabolites. These findings elucidate the potential impact of L. pentosus on digoxin metabolism, underscoring the importance of considering microbial interactions in pharmacological research. We anticipate that the integrated platform could assist in more pharmacomicrobiomics studies and uncover unknown drug-microbial interactions.PMID:39467441 | DOI:10.1016/j.talanta.2024.127094

Phytomedicine. 2024 Oct 22;135:156179. doi: 10.1016/j.phymed.2024.156179. Online ahead of print.ABSTRACTBACKGROUND: Xianglian pill (XLP) is a traditional Chinese medicine (TCM) that is widely used to treat ulcerative colitis (UC). However, its mechanism of action in UC is unclear.PURPOSE: This study aimed to investigate the mechanism of action of XLP in treating UC and role of M1 macrophage polarization in this process.STUDY DESIGN: In vivo experiments were performed using UC mice while in vitro experiments were conducted using RAW264.7 cells.METHODS: Mice were administered 3 % dextran sulfate to induce UC model and then treated with XLP. Changes in histopathology and pro-inflammatory cytokines were evaluated. The levels of M1 macrophages in mesenteric lymph nodes were detected by flow cytometry. Colon metabolite levels were analyzed using an energy metabolomic assay. To assess itaconate's impact, both in vivo (mice) and in vitro (RAW264.7 cells) models were employed. Immunofluorescence staining was used to measure the expression levels of TNF-α, IL-6, and iNOS, while qRT-PCR was utilized to quantify the mRNA levels of TET2, STAT1, and Nfkbiz.RESULTS: XLP alleviated ulcerative damage and reduced TNF-α and IL-6 levels in colon, and also downregulated the levels of M1 macrophages and modulated the state of energy metabolism. Specifically, XLP significantly increased ITA level in colonic tissue and this increase was significantly associated with decreased levels of M1 macrophages and alleviation of UC following XLP treatment. Moreover, ITA directly suppressed the polarization of macrophage from M0 to M1 phenotype, accompanied by the decrease of TNF-α, IL-6, and iNOS levels. Further, ITA decreased inflammatory responses in M1 macrophage by inhibiting the TET2/STAT1 and TET2/NF-κB signaling pathways.CONCLUSION: XLP can treat UC by suppressing M1 macrophage polarization via increasing the level of energy metabolite ITA.PMID:39467429 | DOI:10.1016/j.phymed.2024.156179

Neurol Neuroimmunol Neuroinflamm. 2024 Nov;11(6):e200312. doi: 10.1212/NXI.0000000000200312. Epub 2024 Oct 28.ABSTRACTBACKGROUND AND OBJECTIVES: In multiple sclerosis (MS), immune cells invade the CNS and destroy myelin. Macrophages contribute to demyelination and myelin repair, and their role in each process depends on their ability to acquire specific phenotypes in response to external signals. In this article, we assess whether defects in MS patient macrophage responses may lead to increased inflammation or lack of neuroregenerative effects.METHODS: CD14+CD16- monocytes from patients with MS and healthy controls (HCs) were activated in vitro to obtain homeostatic-like, proinflammatory, and proregenerative macrophages. Macrophage activation profiles were assessed through RNA sequencing and metabolomics. Surface molecule expression of CD14, CD16, and HLA-DR and myelin phagocytic capacity were evaluated with flow cytometry. Macrophage supernatant capacity to influence oligodendrocyte precursor cell differentiation toward an astrocytic or oligodendroglia fate was also tested.RESULTS: We observed that MS patient monocytes ex vivo recapitulate their preferential activation toward the CD16+ phenotype, a subset of proinflammatory cells overrepresented in MS lesions. Functionally, MS patient macrophages display a decreased capacity to phagocytose human myelin and a deficit of processing myelin after ingestion. In addition, MS patient macrophage supernatant favors astrocytes over oligodendrocyte differentiation when compared with HC macrophage supernatant. Furthermore, even when exposed to homeostatic or proregenerative stimuli, MS patient macrophages uphold a proinflammatory transcriptomic profile with higher levels of cytokine/chemokine. Of interest, MS patient macrophages exhibit a distinct metabolic signature with a mitochondrial energy metabolism blockage. Transcriptomic data are further substantiated by metabolomics studies that reveal perturbations in the corresponding metabolic pathways.DISCUSSION: Our results show an intrinsic defect of MS patient macrophages, reminiscent of innate immune cell memory in MS, lifting macrophage importance in the disease and as potential therapeutic targets.PMID:39467238 | DOI:10.1212/NXI.0000000000200312