PubMed
Plasma metabolomics profiling of EGFR-mutant NSCLC patients treated with third-generation EGFR-TKI
Sci Data. 2024 Dec 18;11(1):1369. doi: 10.1038/s41597-024-04169-0.ABSTRACTThird-generation epidermal growth factor receptor-tyrosine kinase inhibitors (EGFR-TKIs) are the latest and a vital treatment option for non-small cell lung cancer (NSCLC) patients. Although EGFR-sensitive mutations are an indication for third-generation EGFR-TKI therapy, 30% of NSCLC patients lack response and all patients inevitably progress. There is a lack of biomarkers to predict the efficacy of EGFR-TKI therapy. In this report, we performed comprehensive plasma metabolomic profiling on 186 baseline and 20 post-treatment samples, analyzing 1,019 metabolites using four ultrahigh performance liquid chromatography-tandem mass spectroscopy (UPLC-MS/MS) methods. The dataset contains detailed clinical and metabolic information for 186 patients. Rigorous quality control measures were implemented. No significant differences in body mass index and biochemical metabolic parameters were observed between responders and non-responders. The datasets were utilized to characterize the responsive metabolic traits of third-generation EGFR-TKI therapy. All datasets are available for download on the OMIX website. We anticipate that these datasets will serve as valuable resources for future studies investigating NSCLC metabolism and for the development of personalized therapeutic strategies.PMID:39695165 | DOI:10.1038/s41597-024-04169-0
The role of gut microbiota and metabolomic pathways in modulating the efficacy of SSRIs for major depressive disorder
Transl Psychiatry. 2024 Dec 18;14(1):493. doi: 10.1038/s41398-024-03208-z.ABSTRACTThis study aims to explore the mechanism by which gut microbiota influences the antidepressant effects of serotonin reuptake inhibitors (SSRIs) through metabolic pathways. A total of 126 patients were analyzed for their gut microbiota and metabolomics. Patients received SSRI treatment and were categorized into responder and non-responder groups based on changes in their Hamilton Depression Rating Scale (HAMD-17) scores before and after treatment. The association between gut microbiota composition and the efficacy of SSRIs was investigated through 16S rRNA gene sequencing and metabolomic analysis, and a predictive model was developed. As a result, the study found significant differences in gut microbiota composition between the responder and resistant groups. Specific taxa, such as Ruminococcus, Bifidobacterium, and Faecalibacterium, were more abundant in the responder group. Functional analysis revealed upregulation of acetate degradation and neurotransmitter synthesis pathways in the responder group. The machine learning model indicated that gut microbiota and metabolites are potential biomarkers for predicting SSRIs efficacy. In conclusion, gut microbiota influences the antidepressant effects of SSRIs through metabolic pathways. The diversity and function of gut microbiota can serve as biomarkers for predicting the treatment response, providing new insights for personalized treatment.PMID:39695082 | DOI:10.1038/s41398-024-03208-z
Metabolic Profiles of Encapsulated Chondrocytes Exposed to Short-Term Simulated Microgravity
Ann Biomed Eng. 2024 Dec 18. doi: 10.1007/s10439-024-03667-x. Online ahead of print.ABSTRACTThe mechanism by which chondrocytes respond to reduced mechanical loading environments and the subsequent risk of developing osteoarthritis remains unclear. This is of particular concern for astronauts. In space the reduced joint loading forces during prolonged microgravity (10-6 g) exposure could lead to osteoarthritis (OA), compromising quality of life post-spaceflight. In this study, we encapsulated human chondrocytes in an agarose gel of similar stiffness to the pericellular matrix to mimic the cartilage microenvironment. We then exposed agarose-chondrocyte constructs to simulated microgravity (SM) for four days using a rotating wall vessel (RWV) bioreactor to better assess the cartilage health risks associated with spaceflight. Metabolites extracted from media and agarose gel constructs were analyzed on liquid chromatography-mass spectrometry. Global metabolomic profiling detected a total of 1205 metabolite features, with 497 significant metabolite features identified by ANOVA (FDR-corrected p-value < 0.05). Specific metabolic shifts detected in response to SM exposure resulted in clusters of co-regulated metabolites, with glutathione, nitrogen, histidine, vitamin B3, and aminosugars metabolism identified by variable importance in projection scores. Microgravity-induced metabolic shifts in gel constructs and media were indicative of protein synthesis, energy and nucleotide metabolism, and oxidative catabolism. Microgravity associated-metabolic shifts were consistent with our previously published early osteoarthritic metabolomic profiles in human synovial fluid, suggesting that even short-term exposure to microgravity (or other reduced mechanical loading environments) may lead to the development of OA. This work further suggests the potential to detect these metabolic perturbations in synovial fluid in vivo to ascertain osteoarthritis risk in astronauts.PMID:39695002 | DOI:10.1007/s10439-024-03667-x
Why the adventitious roots of poplar are so colorful: RNAseq and metabolomic analysis reveal anthocyanin accumulation in canker pathogens-induced adventitious roots in poplar
Planta. 2024 Dec 18;261(1):19. doi: 10.1007/s00425-024-04583-z.ABSTRACTThis study revealed a substrate-level synthesis of pigment cyanidin-3-O-glucoside and the redirection of metabolomic flux in the flavonoid/anthocyanin biosynthesis pathway in poplar adventitious roots (ARs) induced by stem canker pathogens. Recently, we observed a novel allometry on poplar stems, with copious colorful adventitious roots (ARs) induced by fungal canker pathogens. Here, we reveal chemical, physiological, and molecular mechanisms of AR coloration in poplar-pathogens (Valsa sordida/Botrosphaeria dothidea) interaction system using our phloem girdling-inoculation system. Light-induced coloration in ARs: red/rosy under sunlight, and milky white under shading. Chemical and metabolomic analyses indicated that numerous (93 in all 110) and high relative intensities/contents of flavonoids metabolites (mainly including flavonols, flavones, and anthocyanins class) accumulate in red ARs, some flavones and anthocyanins metabolites all contribute to the color of poplar ARs, and cyanidin-3-O-glucoside is the most abundant colorant. Integrated analysis of metabolomic and transcriptomic analysis suggested that sunlight exposure redirected the metabolomic flux from the flavonoid biosynthesis pathway to the flavonols and flavones branch pathways, induced by the upregulation of FLS (flavonol synthase/flavanone 3-hydroxylase) and other structural genes. The anthocyanins metabolomic analysis and the downregulation of the ANS (anthocyanin synthase) gene illustrated a retard of metabolomic flux from leucoanthocyanidins to anthocyanidins. Metabolomic results and the upregulation of the gene BZ1 (Bronze 1, anthocyanin 3-O-glucosyltransferase) illustrated that sunlight triggered a rapid biosynthesis of anthocyanin metabolites in poplar ARs, which based on the substrate level of anthocyanidins. Transcriptomic and RT-qPCR analyses showed that transcriptional factor MYB113, HY5 (Elongated hypocotyl 5), and COP1 (Ring-finger protein CONSTITUTIVE PHOTOMORPHOGENIC1) genes positively regulated the expression of the flavonoid/anthocyanin biosynthesis structural genes (such as the BZ1, FLS and LAR gene) in both sunlight-exposed red ARs and white ARs after light-exposure, suggesting sunlight induces anthocyanins biosynthesis through the interaction between "MBW" complex and COP1-HY5 module. Moreover, one SPL gene (squamosa promoter-binding-like protein gene, target of miR156, and one component of miR156-SPL module) was down-regulated in sunlight-exposed poplar ARs, implying the biosynthesis flavonoid/anthocyanin be regulated at the posttranscriptional level. This study provides a potential AR experimental system for research on flavonoid/anthocyanin biosynthesis in tree species.PMID:39694940 | DOI:10.1007/s00425-024-04583-z
Controlled dual drug delivery system based on gelatin electrospinning membranes for wound healing promotion
Int J Biol Macromol. 2024 Dec 16:138720. doi: 10.1016/j.ijbiomac.2024.138720. Online ahead of print.ABSTRACTSkin wound repair is a complex dynamic process. Current dual-drug delivery systems struggle to adapt to the process of wound healing. Therefore, the construction of a dual-drug delivery system with intelligent responsiveness, controllable release, and understanding the repair mechanisms, is a current research challenge. This study described the design of a new gelatin-based dual-drug delivery system (PGDMD) using electric field stimulation to achieve a controlled drug release. In vitro drug release experiments demonstrated PGDMD transitions from a fiber membrane state to a gel state during the release process. Quercetin released with a rapid release within the first 60 min and amikacin released over 24 h. The amount of drug released in the same release time was increased mainly through electrostatic action under the effect of the electric field and accelerated the movement of drug molecules. The Non-targeted metabolomics analysis revealed that PGDMD mainly reduced inflammation and oxidative stress responses by upregulating the expression of antioxidant-related metabolites, thereby improving the therapeutic effect of rat traumatic skin. In conclusion, the dual-drug delivery system might be potentially applied to high-performance medical devices, pharmaceuticals and other industry products, and provides research ideas and reference for exploring the interaction between biomaterials and the organism.PMID:39694389 | DOI:10.1016/j.ijbiomac.2024.138720
Bifidobacterium animalis ssp. lactis BX-245-fermented milk alleviates tumor burden in mice with colorectal cancer
J Dairy Sci. 2024 Dec 16:S0022-0302(24)01268-2. doi: 10.3168/jds.2024-25614. Online ahead of print.ABSTRACTColorectal cancer (CRC) arises from the accumulation of abnormal mutations in colorectal cells during prolonged inflammation. This study aimed to investigate the potential of probiotic fermented milk containing the probiotic strain, Bifidobacterium animalis ssp. lactis BX-245 (BX-245), in alleviating tumor burden in CRC mice induced by azoxymethane and dextran sodium sulfate. The study monitored changes in tumor size and number, gut microbiota, metabolomics, and inflammation levels before and after the intervention. Our findings indicate that intragastric administration of BX245-fermented milk effectively modulated the intratumor microbiota, as well as the gut microbiota and its metabolism. We also observed a decreased relative abundance of intratumor Akkermansia in the CRC mice, while the intratumor Parabacteroides exhibited a significant positive correlation with tumor number and weight. Moreover, administering BX245-fermented milk significantly reduced gut barrier permeability, alleviated gut barrier damage, and increased serum interleukin-2 and interferon-γ levels compared with the ordinary fermented milk group. Collectively, our data suggest that administering probiotic fermented milk containing specific functional strains like BX245 could result in a reduction in tumor burden in CRC mice. Conversely, ordinary fermented milk did not show the same tumor-inhibiting effects. The current results are preliminary, and further confirmation is necessary to establish the causal relationship among probiotic milk, changes in gut microbiota, and disease alleviation.PMID:39694256 | DOI:10.3168/jds.2024-25614
FIRST-TRIMESTER NUCLEAR MAGNETIC RESONANCE-BASED METABOLOMIC PROFILING INCREASES THE PREDICTION OF GESTATIONAL DIABETES MELLITUS
Am J Obstet Gynecol. 2024 Dec 16:S0002-9378(24)01196-7. doi: 10.1016/j.ajog.2024.12.019. Online ahead of print.ABSTRACTOBJECTIVE: To investigate whether nuclear magnetic resonance (NMR)-based metabolomic profiling of maternal blood can be used for first-trimester prediction of gestational diabetes mellitus (GDM).STUDY DESIGN: This was a prospective study of 20,000 women attending for routine pregnancy care at 11-13 weeks' gestation. Metabolic profiles were assessed using a high-throughput NMR metabolomics platform. To inform translational applications, we focused on a panel of 34 clinically validated biomarkers for detailed analysis and risk modelling. All biomarkers were used to generate a multivariable logistic regression model to predict GDM. Data were split using random seed into a 70%-30% training and validation set, respectively. Performance of the multivariable models was measured by receiver operating characteristic (ROC) curve analysis and detection rates (DRs) at fixed 10% and 20% false positive rates. Calibration for the combined risk model for all GDM was assessed visually through a figure showing the observed incidence against the predicted risk for GDM. A sensitivity analysis was carried out excluding the 64 women in our cohort who were diagnosed with GDM prior to 20 weeks' gestation.RESULTS: The concentration of several metabolomic biomarkers, including cholesterols, triglycerides, fatty acids, and amino acids, were different in the group that developed GDM, compared to those without GDM. Addition of biomarker profile improved the prediction of GDM provided by maternal demographic characteristics and elements of medical history alone (area under the receiver operating characteristics curve [AUROC] 0.790 and detection rate (DR) of 50%, 95%CI 44.3%-55.7%, at 10% false positive rate (FPR) and 63%, 95%CI 57.4%-68.3%, at 20% FPR, to 0.840, 56%, 95%CI 50.3%-61.6% and 73%, 95%CI 67.7%-77.8%, respectively). The performance of combined testing was better for GDM treated by insulin (ROC AUC 0.905, DR 76%, 95%CI 67.5%-83.2%, at 10% FPR and DR 85%, 95%CI 77.4%-90.9%, at 20%) than GDM treated by diet alone (ROC AUC 0.762, DR 47%, 95%CI 37.7%-56.5%, at 10% FPR and DR 64%, 95%CI 54.5%-72.7%, at 20% FPR). In the calibration plot there was good agreement between the observed incidence of GDM against that predicted from the combined risk model. In the sensitivity analysis excluding the women diagnosed with GDM prior to 20 weeks' gestation, there was a negligible difference in ROC AUC in comparison to the results from the entire cohort combined.CONCLUSIONS: Addition of NMR-based metabolomic profiling to risk factors can provide first-trimester prediction of GDM.PMID:39694165 | DOI:10.1016/j.ajog.2024.12.019
Disulfiram/Cu targeting FOXO6 modulates sensitivity of hepatocellular carcinoma to lenvatinib via disrupt choline metabolic
Cell Signal. 2024 Dec 16:111563. doi: 10.1016/j.cellsig.2024.111563. Online ahead of print.ABSTRACTDisulfiram/Cu(DSF) has a known pharmacokinetic and safety profile, exerting a strong antitumor effect. Oral tyrosine kinase inhibitors including lenvatinib are approved as first-line therapy for treating advanced unresectable hepatocellular carcinoma (HCC). These patients still have limited survival due to drug resistance. Disulfiram/Cu and lenvatinib are the promising antitumor treatments. In this study, we studied whether Disulfiram/Cu increased lenvatinib sensitivity in HCC cells. Moreover, the potential drug targets of Disulfiram/Cu and associated mechanisms were explored. We mainly investigated Autophagic flux was determined via immunofluorescence analysis and confocal microscopy. p-PI3K, p-AKT, p62, LC3B, FOXO6, and CHKA proteins associated with autophagy were detected by immunoblotting. In addition, antitumour activity of Disulfiram/Cu in combination with lenvatinib was examined in vivo through construction of the nude mouse transplant tumor model. Furthermore, our results show disulfiram/Cu combined with lenvatinib exerted the synergistic impact on treating HCC in vitro. Mechanistically, transcriptome combined with metabolome reveals Disulfiram/Cu targeting FOXO6 induction of autophagy mediated inhibits cell growth in hepatocellular carcinoma by downregulating CHKα for inhibiting AKT pathway activation while blocking choline metabolic reprogramming in HCC. These effects mostly explain the tumor-promoting effect of FOXO6 on HCC. In general, the results illustrate the mechanistic associations between metabolites and tumor cell malignant phenotype, contributing to developing new anti-HCC pharmacological treatments by Inhibiting FOXO6 for disrupting choline metabolic pathway.PMID:39694126 | DOI:10.1016/j.cellsig.2024.111563
Muscarinic acetylcholine type 1 receptor antagonism activates TRPM3 to augment mitochondrial function and drive axonal repair in adult sensory neurons
Mol Metab. 2024 Dec 16:102083. doi: 10.1016/j.molmet.2024.102083. Online ahead of print.ABSTRACTOBJECTIVE: Antagonism of the muscarinic acetylcholine type 1 receptor (M1R) promotes sensory axon repair and is protective in peripheral neuropathy, however, the mechanism remains elusive. We investigated the role of the heat-sensing transient receptor potential melastatin-3 (TRPM3) cation channel in M1R antagonism-mediated nerve regeneration and explored the potential of TRPM3 activation to facilitate axonal plasticity.METHODS: Dorsal root ganglion (DRG) neurons from adult control or diabetic rats were cultured and treated with TRPM3 agonists (CIM0216, pregnenolone sulfate) and M1R antagonists pirenzepine (PZ) or muscarinic toxin 7 (MT7). Ca2+ transients, mitochondrial respiration, AMP-activated protein kinase (AMPK) expression, and mitochondrial inner membrane potential were analyzed. The effect of M1R activation or blockade on TRPM3 activity mediated by phosphatidylinositol 4,5-bisphosphate (PIP2) was studied. Metabolic profiling of DRG neurons and human neuroblastoma SY-SY5Y cells was conducted.RESULTS: M1R antagonism induced by PZ or MT7 increased Ca2+ influx in DRG neurons and was inhibited by TRPM3 antagonists or in the absence of extracellular Ca2+. TRPM3 agonists elevated Ca2+ levels, augmented mitochondrial respiration, AMPK activation and neurite outgrowth. M1R antagonism stimulated TRPM3 channel activity through inhibition of PIP2 hydrolysis to activate Ca2+/calmodulin-dependent protein kinase kinase β (CaMKKβ)/AMPK, leading to augmented mitochondrial function and neuronal metabolism. DRG neurons with AAV-mediated shRNA knockdown of TRPM3 exhibited suppressed antimuscarinic drug-induced neurite outgrowth. TRPM3 agonists increased glycolysis and TCA cycle metabolites, indicating enhanced metabolism in DRG neurons and SH-SY5Y cells.CONCLUSION: Activation of the TRPM3/CaMKKβ/AMPK pathway promoted collateral sprouting of sensory axons, positioning TRPM3 as a promising therapeutic target for peripheral neuropathy.PMID:39694091 | DOI:10.1016/j.molmet.2024.102083
Metabolomic fingerprinting, molecular modelling and experimental bioprospection of Helianthus annuus seed cultivars as Pseudomonas aeruginosa LasR modulators
Bioorg Chem. 2024 Dec 10;154:108046. doi: 10.1016/j.bioorg.2024.108046. Online ahead of print.ABSTRACTThe Pseudomonas aeruginosa LasR quorum sensing system (QSS) is central to regulating the expression of several pathogenicity factors. Also, while seed- and/or plant-derived products have been investigated as QSS regulators, the impact of Helianthus annuus (Pannar sunflower seed cultivars) extracts and metabolites as LasR modulators remain underexplored. Thus, this study focused on the untargeted metabolomic profiling (Liquid Chromatography-Mass Spectrometry), in vitro and in silico (docking, pharmacokinetics, dynamic simulation) bioprospection of Pannar seed cultivars' extracts and metabolites as LasR modulators. The extracts showed significant QS modulating properties (motility, violacein, biofilm, cell attachment, pyocyanin inhibition) with the PAN 7102 CLP seed cultivar (74.3 %) being the most potent, compared to azithromycin (65 %) and cinnamaldehyde (62 %). Chemometric principal component analysis (PCA) analysis showed distinct metabolite signatures with 52.5 % variance across the six cultivars that was driven by aqueous and ethanolic extracts of PAN 7102, 7160, and 7156 cultivars. The presence of methoxymellein, hydroxytetradecanedioic acid, koninginin G, geoside, pinellic acid and methylpicraquassioside A were reported for the first time. The profiled metabolites were subjected to a 100-ns molecular dynamics simulation following molecular docking. Binding free energy (ΔGbind) calculations revealed obolactone (-48.26 kcal/mol), 1,4-bis(phenylglyoxaloyl)benzene (-45.06 kcal/mol), cyclocanaliculatin (-43.41 kcal/mol), 5-hydroxy-7-methoxy-2-phenylchroman-4-one (-39.18 kcal/mol) and lonchocarpin (-33.78 kcal/mol) as first-time putative leads relative to azithromycin (-32.09 kcal/mol). All lead metabolites also conformed to Lipinski's rule of 5 (Ro5), and their LasR bound complexes were thermodynamically stable and compact given their strong bond interactions. Findings indicate that metabolomic profiling remain key to identifying new compounds from underexplored species. H. annuus lead metabolites and extracts may also play key roles as LasR modulators. Further structural modification of the 5 leads could aid their development into novel, oral therapeutics targeting LasR to mitigate resistant P. aeruginosa infections.PMID:39693924 | DOI:10.1016/j.bioorg.2024.108046
Topical application of magnolol ameliorates psoriasis-like dermatitis by inhibiting NLRP3/Caspase-1 pathway and regulating tryptophan metabolism
Bioorg Chem. 2024 Dec 13;154:108059. doi: 10.1016/j.bioorg.2024.108059. Online ahead of print.ABSTRACTPsoriasis (PSO) is a common inflammatory skin disease caused by multiple factors. Magnolia officinalis is an important medicinal plant in China, with various values such as ecology, medicine, food, and daily chemicals. However, its diverse application potential has not been fully explored. Magnolol (MGO) is the main active compound of Magnolia officinalis with significant anti-inflammatory effect. To investigate the application potential of MGO in inflammatory skin disease, the effects and underlying mechanisms of topical MGO treating psoriasis were explored in this study. Network pharmacology and molecular docking firstly predicted that topical MGO may treat psoriasis by regulating pyroptosis pathway and acting on caspase-1 (CASP1). In vitro experiments then demonstrated that MGO could inhibit the level of inflammatory cytokines and the key protein expression of NOD-like receptor protein 3 (NLRP3)/Caspase-1 pathway in lipopolysaccharide (LPS)-stimulated phorbol 12-myristate 13-acetate (PMA)-differentiated THP-1 cells. Meanwhile, MGO could inhibit CuSO4-induced neutrophils migration in Tg (mpx:EGFP) zebrafish by suppressing inflammation and pyroptosis. This study further indicated that topical application of MGO ameliorated imiquimod (IMQ)-induced psoriasis-like dermatitis by reducing the release of inflammatory factors and decreasing the key protein expression of pyroptosis-related NLRP3/Caspase-1 pathway. Metabolomics analysis revealed that topical application of MGO could significantly regulate tryptophan metabolism and affect the level of tryptophan in skin lesions. Tryptophan could also regulate inflammation-related genes and inhibit pyroptosis-related NLRP3/Caspase-1 pathway in LPS-stimulated PMA-differentiated THP-1 cells. In conclusion, this study suggested that topical MGO may ameliorate psoriasis-like dermatitis by inhibiting NLRP3/Caspase-1 pathway and regulating tryptophan metabolism.PMID:39693920 | DOI:10.1016/j.bioorg.2024.108059
Effects of total microbiota-containing backslop from 450-day-fermented kimchi on microbe and metabolite dynamics
Food Chem. 2024 Dec 9;468:142420. doi: 10.1016/j.foodchem.2024.142420. Online ahead of print.ABSTRACTThis study examines the impact of the complex microbiota from long-term fermented kimchi, used as a backslop, on fermentation dynamics. The fermentation was conducted with autoclaved (group A) and non-autoclaved (NA) starter cultures. Bacterial and fungal communities were analyzed with 16S rRNA gene V4 and ITS2 region, respectively, and metabolites were profiled using gas chromatography-mass spectrometry. In the group NA, Levilactobacillus dominated at 64.3 % by day 5, while Pediococcus reached 57.4 % by day 50. Principal coordinate analysis showed that bacterial communities in both the starter culture and samples of the group NA became similar by the end of the fermentation (day 100); however, no significant differences were found in fungal community. Principal component analysis revealed distinct metabolite profiles, explaining 68.7 % of variability on PC1, with each group clustered separately by day 100. These results suggest that inoculating with microbiota from long-term fermentation can rapidly produce foods with desirable characteristics.PMID:39693884 | DOI:10.1016/j.foodchem.2024.142420
Untargeted metabolome atlas for sleep-related phenotypes in the Hispanic community health study/study of Latinos
EBioMedicine. 2024 Dec 17;111:105507. doi: 10.1016/j.ebiom.2024.105507. Online ahead of print.ABSTRACTBACKGROUND: Sleep is essential to maintaining health and wellbeing of individuals, influencing a variety of outcomes from mental health to cardiometabolic disease. This study aims to assess the relationships between various sleep-related phenotypes and blood metabolites.METHODS: Utilising data from the Hispanic Community Health Study/Study of Latinos, we performed association analyses between 40 sleep-related phenotypes, grouped in several domains (sleep disordered breathing (SDB), sleep duration, sleep timing, self-reported insomnia symptoms, excessive daytime sleepiness (EDS), and heart rate during sleep), and 768 metabolites measured via untargeted metabolomics profiling. Network analysis was employed to visualise and interpret the associations between sleep phenotypes and metabolites.FINDINGS: The patterns of statistically significant associations between sleep phenotypes and metabolites differed by superpathways, and highlighted subpathways of interest for future studies. For example, primary bile acid metabolism showed the highest cumulative percentage of statistically significant associations across all sleep phenotype domains except for SDB and EDS phenotypes. Several metabolites were associated with multiple sleep phenotypes, from a few domains. Glycochenodeoxycholate, vanillyl mandelate (VMA) and 1-stearoyl-2-oleoyl-GPE (18:0/18:1) were associated with the highest number of sleep phenotypes, while pregnenolone sulfate was associated with all sleep phenotype domains except for sleep duration. N-lactoyl amino acids such as N-lactoyl phenylalanine (lac-Phe), were associated with sleep duration, SDB, sleep timing and heart rate during sleep.INTERPRETATION: This atlas of sleep-metabolite associations will facilitate hypothesis generation and further study of the metabolic underpinnings of sleep health.FUNDING: R01HL161012, R35HL135818, R01AG80598.PMID:39693737 | DOI:10.1016/j.ebiom.2024.105507
Serpina3c Deficiency Promotes Obesity-related Hypertriglyceridemia and Inflammation through Activation of the Hif1α-glycolysis Axis in Adipose Tissue
Clin Sci (Lond). 2024 Dec 18:CS20242610. doi: 10.1042/CS20242610. Online ahead of print.ABSTRACTAdipose tissue dysfunction leads to abnormal lipid metabolism and high inflammation levels. This research aims to explore the role of Serpina3c, which is highly expressed in adipocytes, in obesity-related hypertriglyceridemia and metaflammation. Serpina3c global knockout (KO) mice, adipocyte-specific Serpina3c overexpressing mice, Serpina3c knockdown (KD) mice, and hypoxia-inducible factor 1 alpha (Hif1α) KD mice were fed a high-fat diet (HFD) for 16 weeks to generate obesity-related hypertriglyceridemia mice models. In the present study, Serpina3c KO mice and adipocyte-specific Serpina3c KD mice exhibited more severe obesity-related hypertriglyceridemia and metaflammation under HFD conditions. Serpina3c KO epididymal white adipose tissue (eWAT) primary stromal vascular fraction (SVF)-derived adipocytes exhibited higher lipid (triglyceride and non-esterified fatty acid) levels and higher fatty acid synthase expression after palmitic acid stimulation. Adipocyte-specific Serpina3c overexpression in KO mice prevented the KO group phenotype. The RNA-seq and in vitro validation revealed that Hif1α and the glycolysis pathways were upregulated in Serpina3c KD adipocytes, which were all validated by in vitro and in vivo reverse experiments. Co-immunoprecipitation (co-IP) provided evidence that Serpina3c bound nuclear factor erythroid 2-related factor 2 (Nrf2) to regulate Hif1α. Nrf2 KD reduced Hif1α and Fasn expression, decreased lipid content, and reduced the extracellular acidification rate in Serpina3c KO adipocytes. Metabolomics revealed that lactic acid (LD) levels in eWAT were responsible for adipose-associated macrophage inflammation. In summary, Serpina3c inhibits the Hif1α-glycolysis pathway and reduces de novo lipogenesis and LD secretion in adipocytes by binding to Nrf2, thereby improving HFD-induced lipid metabolism disorders and alleviating adipose tissue macrophage inflammation.PMID:39693610 | DOI:10.1042/CS20242610
Metformin targets mitochondrial complex I to lower blood glucose levels
Sci Adv. 2024 Dec 20;10(51):eads5466. doi: 10.1126/sciadv.ads5466. Epub 2024 Dec 18.ABSTRACTMetformin is among the most prescribed antidiabetic drugs, but the primary molecular mechanism by which metformin lowers blood glucose levels is unknown. Previous studies have proposed numerous mechanisms by which acute metformin lowers blood glucose, including the inhibition of mitochondrial complex I of the electron transport chain (ETC). Here, we used transgenic mice that globally express the Saccharomyces cerevisiae internal alternative NADH dehydrogenase (NDI1) protein to determine whether the glucose-lowering effect of acute oral administration of metformin requires inhibition of mitochondrial complex I of the ETC in vivo. NDI1 is a yeast NADH dehydrogenase enzyme that complements the loss of mammalian mitochondrial complex I electron transport function and is insensitive to pharmacologic mitochondrial complex I inhibitors including metformin. We demonstrate that NDI1 expression attenuates metformin's ability to lower blood glucose levels under standard chow and high-fat diet conditions. Our results indicate that acute oral administration of metformin targets mitochondrial complex I to lower blood glucose.PMID:39693440 | DOI:10.1126/sciadv.ads5466
Metabolomic age (MileAge) predicts health and life span: A comparison of multiple machine learning algorithms
Sci Adv. 2024 Dec 20;10(51):eadp3743. doi: 10.1126/sciadv.adp3743. Epub 2024 Dec 18.ABSTRACTBiological aging clocks produce age estimates that can track with age-related health outcomes. This study aimed to benchmark machine learning algorithms, including regularized regression, kernel-based methods, and ensembles, for developing metabolomic aging clocks from nuclear magnetic resonance spectroscopy data. The UK Biobank data, including 168 plasma metabolites from up to N = 225,212 middle-aged and older adults (mean age, 56.97 years), were used to train and internally validate 17 algorithms. Metabolomic age (MileAge) delta, the difference between metabolite-predicted and chronological age, from a Cubist rule-based regression model showed the strongest associations with health and aging markers. Individuals with an older MileAge were frailer, had shorter telomeres, were more likely to suffer from chronic illness, rated their health worse, and had a higher all-cause mortality hazard (HR = 1.51; 95% CI, 1.43 to 1.59; P < 0.001). This metabolomic aging clock (MileAge) can be applied in research and may find use in health assessments, risk stratification, and proactive health tracking.PMID:39693428 | DOI:10.1126/sciadv.adp3743
A novel mouse model of upper tract urothelial carcinoma highlights the impact of dietary intervention on gut microbiota and carcinogenesis prevention despite carcinogen exposure
Int J Cancer. 2024 Dec 18. doi: 10.1002/ijc.35295. Online ahead of print.ABSTRACTAnimal models of N-butyl-N-(4-hydroxy butyl) nitrosamine (BBN)-induced urothelial carcinoma (UC), particularly bladder cancer (BC), have long been established. However, the rare incidence of BBN-induced upper urinary tract UC (UTUC), which originates from the same urothelium as BC, remains elusive. The scarcity of animal models of UTUC has made it challenging to study the biology of UTUC. To address this problem, we tried to establish a novel mouse model of UTUC by treating multiple mice strains and sexes with BBN. The molecular consistency between the UTUC mouse model and human UTUC was confirmed using multi-omics analyses, including whole-exome, whole-transcriptome, and spatial transcriptome sequencing. 16S ribosomal RNA metagenome sequencing, metabolome analysis, and dietary interventions were employed to assess changes in the gut microbiome, metabolome, and carcinogenesis of UTUC. Of all treated mice, only female BALB/c mice developed UTUC over BC. Multi-omics analyses confirmed that the UTUC model reflected the molecular characteristics and heterogeneity of human UTUC with poor prognosis. Furthermore, the model exhibited increased Tnf-related inflammatory gene expression in the upper urinary tract and a low relative abundance of Parabacteroides distasonis in the gut. Dietary intervention, mainly without alanine, led to P. distasonis upregulation and successfully prevented UTUC, as well as suppressed Tnf-related inflammatory gene expression in the upper urinary tract despite the exposure to BBN. This is the first report to demonstrate a higher incidence of UTUC than BC in a non-engineered mouse model using BBN. Overall, this model could serve as a useful tool for comprehensively investigating UTUC in future studies.PMID:39693209 | DOI:10.1002/ijc.35295
Maternal group B <em>Streptococcus</em> decreases infant length and alters the early-life microbiome: a prospective cohort study
Ann Med. 2025 Dec;57(1):2442070. doi: 10.1080/07853890.2024.2442070. Epub 2024 Dec 18.ABSTRACTBACKGROUND: Maternal colonization with Group B Streptococcus (GBS) disrupts the vaginal microbiota, potentially affecting infant microbiota assembly and growth. While the gut microbiota's importance in infant growth is recognized, the specific effects of maternal GBS on growth remain unclear. This study aimed to explore the effects of maternal vaginal GBS during pregnancy on early infant growth, microbiome, and metabolomics.METHODS: We recruited and classified 453 pregnant women from southern China into GBS or healthy groups based on GBS vaginal colonization. Their infants were categorized as GBS-exposed or GBS-unexposed groups. We comprehensively analyzed infant growth, gut microbiota, and metabolites during early life, along with maternal vaginal microbiota during pregnancy, using 16S rDNA sequencing and targeted metabolomics.RESULTS: GBS-exposed infants exhibited lower length-for-age z-scores (LAZ) than GBS-unexposed infants, especially at 2 months. Altered gut microbiota and metabolites in GBS-exposed infants correlated with growth, mediating the impact of maternal GBS on infant LAZ. Changes in the vaginal microbiota of the GBS group during the third trimester correlated with infant LAZ. Additionally, differences in neonatal gut microbiota, metabolites, and vaginal microbiota during pregnancy were identified between infants with overall LAZ<-1 within 8 months after birth and their counterparts, enhancing the discriminatory power of fundamental data for predicting the occurrence of LAZ<-1 during the first 8 months of life.CONCLUSIONS: GBS exposure is associated with decreased infant length growth, with altered microbiota and metabolites potentially mediating the effects of maternal GBS on offspring length growth, offering potential targets for predicting and addressing growth impairment.PMID:39693119 | DOI:10.1080/07853890.2024.2442070
Integrating the metabolic and molecular circuits in diabetes, obesity and cancer: a comprehensive review
Discov Oncol. 2024 Dec 18;15(1):779. doi: 10.1007/s12672-024-01662-1.ABSTRACTThe progressive globalization of sedentary lifestyles and diets rich in lipids and processed foods has caused two major public health hazards-diabetes and obesity. The strong interlink between obesity and type 2 diabetes mellitus and their combined burden encompass them into a single term 'Diabesity'. They have also been tagged as the drivers for the onset of cancer. The clinical association between diabetes, obesity, and several types of human cancer demands an assessment of vital junctions correlating the three. This review focuses on revisiting the molecular axis linking diabetes and obesity to cancer through pathways that get imbalanced owing to metabolic upheaval. We also attempt to describe the functional disruptions of DNA repair mechanisms due to overwhelming oxidative DNA damage caused by diabesity. Genomic instability, a known cancer hallmark results when DNA repair does not work optimally, and as will be inferred from this review the obtruded metabolic homeostasis in diabetes and obesity creates a favorable microenvironment supporting metabolic reprogramming and enabling malignancies. Altered molecular and hormonal landscapes in these two morbidities provide a novel connection between metabolomics and oncogenesis. Understanding various aspects of the tumorigenic process in diabesity-induced cancers might help in the discovery of new biomarkers and prompt targeted therapeutic interventions.PMID:39692821 | DOI:10.1007/s12672-024-01662-1
Multi-omic analysis of biological aging biomarkers in long-term calorie restriction and endurance exercise practitioners: A cross-sectional study
Aging Cell. 2024 Dec 18:e14442. doi: 10.1111/acel.14442. Online ahead of print.ABSTRACTCalorie restriction (CR) and physical exercise (EX) are well-established interventions known to extend health span and lifespan in animal models. However, their impact on human biological aging remains unclear. With recent advances in omics technologies and biological age (BioAge) metrics, it is now possible to assess the impact of these lifestyle interventions without the need for long-term follow-up. This study compared BioAge biomarkers in 41 middle-aged and older adult long-term CR practitioners, 41 age- and sex-matched endurance athletes (EX), and 35 sedentary controls consuming Western diets (WD), through PhenoAge: a composite score derived from nine blood-biomarkers. Additionally, a subset of participants (12 CR, 11 EX, and 12 WD) underwent multi-omic profiling, including DNA methylation and RNAseq of colon mucosa, blood metabolomics, and stool metagenomics. A group of six young WD subjects (yWD) served as a reference for BioAge calculation using Mahalanobis distance across six omic layers. The results demonstrated consistently lower BioAge biomarkers in both CR and EX groups compared to WD controls across all layers. CR participants exhibited lower BioAge in gut microbiome and blood-derived omics, while EX participants had lower BioAge in colon mucosa-derived epigenetic and transcriptomic markers, suggesting potential tissue-specific effects. Multi-omic pathway enrichment analyses suggested both shared and intervention-specific mechanisms, including oxidative stress and basal transcription as common pathways, with ether lipid metabolism uniquely enriched in CR. Despite limitations due to sample size, these findings contribute to the broader understanding of the potential anti-aging effects of CR and EX, offering promising directions for further research.PMID:39692728 | DOI:10.1111/acel.14442