PubMed
Therapeutic Potential of Low-Intensity Magnetic Field Stimulation in 6-Hydroxydopamine Rat Model of Parkinson's Disease: From Inflammation to Motor Function
Ann Neurosci. 2023 Jan;30(1):11-19. doi: 10.1177/09727531221117634. Epub 2022 Aug 27.ABSTRACTBACKGROUND: Parkinson's disease (PD) is a progressive neurodegenerative disorder that mainly affects the aged population. Transcranial magnetic field (MF) stimulation has shown to provide temporary motor recovery in neurological disorders.PURPOSE: The aim of this study was to understand the cellular and molecular mechanism of low-intensity MF stimulation (17.96 µT; 50Hz; 2 h/day, four weeks) in a rat model of severe PD.METHODS: A clinically relevant, bilateral striatal 6-hydroxydopamine (6-OHDA) lesioned rat model of severe PD was employed to test the efficacy of low-intensity MF stimulation in the management of motor symptoms. The mechanism of action of MF was dissected by assessing the microglial activation, tissue ultrastructure, and cerebrospinal fluid (CSF) metabolomics using microdialysis.RESULTS: We observed a significant improvement in the postural balance and gait after MF exposure with a significant reduction in the number of activated microglia. There was an improvement in striatal dopaminergic innervation and glutamate levels but it did not reach a level of statistical significance.CONCLUSION: MF stimulation helped ameliorate the motor deficits and reduced inflammation but was unable to provide a significant change in terms of dopaminergic innervation and metabolic profile in the severe 6-OHDA PD rat model.PMID:37313335 | PMC:PMC10259148 | DOI:10.1177/09727531221117634
Auxin regulation on crop: from mechanisms to opportunities in soybean breeding
Mol Breed. 2023 Mar 2;43(3):16. doi: 10.1007/s11032-023-01361-9. eCollection 2023 Mar.ABSTRACTBreeding crop varieties with high yield and ideal plant architecture is a desirable goal of agricultural science. The success of "Green Revolution" in cereal crops provides opportunities to incorporate phytohormones in crop breeding. Auxin is a critical phytohormone to determine nearly all the aspects of plant development. Despite the current knowledge regarding auxin biosynthesis, auxin transport and auxin signaling have been well characterized in model Arabidopsis (Arabidopsis thaliana) plants, how auxin regulates crop architecture is far from being understood, and the introduction of auxin biology in crop breeding stays in the theoretical stage. Here, we give an overview on molecular mechanisms of auxin biology in Arabidopsis, and mainly summarize auxin contributions for crop plant development. Furthermore, we propose potential opportunities to integrate auxin biology in soybean (Glycine max) breeding.PMID:37313296 | PMC:PMC10248601 | DOI:10.1007/s11032-023-01361-9
Editorial: Advancements in plant omics for tackling biotic and abiotic stresses
Front Plant Sci. 2023 May 29;14:1208218. doi: 10.3389/fpls.2023.1208218. eCollection 2023.NO ABSTRACTPMID:37313256 | PMC:PMC10258335 | DOI:10.3389/fpls.2023.1208218
Metabolomic NMR analysis and organoleptic perceptions of pomegranate wines: Influence of cultivar and yeast on the product characteristics
Heliyon. 2023 May 27;9(6):e16774. doi: 10.1016/j.heliyon.2023.e16774. eCollection 2023 Jun.ABSTRACTPomegranate (Punica granatum L.) fruits are a historical agricultural product of the Mediterranean basin that became increasingly popular in the latest years for being rich in antioxidants and other micronutrients, and are extensively commercialized as fruits, juice, jams and, in some Eastern countries, as a fermented alcoholic beverage. In this work, four different pomegranate wines specifically designed using combinations of two cultivars (Jolly Red and Smith) and two yeast starters with markedly different characteristics (Saccharomyces cerevisiae Clos and Saccharomyces cerevisiae ex-bayanus EC1118) were analyzed. The chemical characterization of the wines together with the originating unfermented juices was performed by 1H NMR spectroscopy metabolomic analysis. The full spectra were used for unsupervised and supervised statistical multivariate analysis (MVA), namely Principal Component Analysis (PCA), Orthogonal Partial Least Squares Discriminant Analysis (OPLS-DA), and sparse PCA (SPCA). The MVA of the wines showed a clear discrimination between the cultivars, and a smaller, yet significant, discrimination between the yeasts used. In particular, a higher content of citrate and gallate was observed for the Smith cv. and, on the contrary, a statistically significant higher content of fructose, malate, glycerol, 2,3 butanediol, trigonelline, aromatic amino acids and 4-hydrophenylacetate was observed in Jolly Red pomegranate wines samples. Significant interaction among the pomegranate cultivar and the fermenting yeast was also observed. Sensorial analysis was performed by a panel of testing experts. MVA of tasting data showed that the cultivar significantly affected the organoleptic parameters considered, while the yeast had a minor impact. Correlation analysis between NMR-detected metabolites and organoleptic descriptors identified several potential sensorially-active molecules as those significantly impacting the characteristics of the pomegranate wines.PMID:37313136 | PMC:PMC10258421 | DOI:10.1016/j.heliyon.2023.e16774
Untargeted metabolomics characterization of the resectable pancreatic ductal adenocarcinoma
Digit Health. 2023 May 31;9:20552076231179007. doi: 10.1177/20552076231179007. eCollection 2023 Jan-Dec.ABSTRACTBACKGROUND: Diagnosis of pancreatic ductal adenocarcinoma (PDAC) is difficult due to the lack of specific symptoms and screening methods. Only less than 10% of PDAC patients are candidates for surgery at the time of diagnosis. Thus, there is a great global unmet need for valuable biomarkers that could improve the opportunity to detect PDAC at the resectable stage. This study aimed to develop a potential biomarker model for the detection of resectable PDAC by tissue and serum metabolomics.METHODS: Ultra-high-performance liquid chromatography and quadrupole time-of-flight mass spectrometry (UHPLC-QTOF-MS/MS) was performed for metabolome quantification in 98 serum samples (49 PDAC patients and 49 healthy controls (HCs)) and 20 pairs of matched pancreatic cancer tissues (PCTs) and adjacent noncancerous tissues (ANTs) from PDAC patients. Univariate and multivariate analyses were used to profile the differential metabolites between PDAC and HC.RESULTS: A total of 12 differential metabolites were present in both serum and tissue samples of PDAC. Among them, a total of eight differential metabolites showed the same expressional levels, including four upregulated and four downregulated metabolites. Finally, a panel of three metabolites including 16-hydroxypalmitic acid, phenylalanine, and norleucine was constructed by logistic regression analysis. Notably, the panel was capable of distinguishing resectable PDAC from HC with an AUC value of 0.942. Additionally, a multimarker model based on the 3-metabolites-based panel and CA19-9 showed a better performance than the metabolites panel or CA19-9 alone (AUC: 0.968 vs. 0.942, 0.850).CONCLUSIONS: Taken together, the resectable early-stage PDAC has unique metabolic features in serum and tissue samples. The defined panel of three metabolites has the potential value for early screening of PDAC at the resectable stage.PMID:37312938 | PMC:PMC10259126 | DOI:10.1177/20552076231179007
Genome-wide association study for biomass accumulation traits in soybean
Mol Breed. 2023 Apr 21;43(5):33. doi: 10.1007/s11032-023-01380-6. eCollection 2023 May.ABSTRACTSoybean is one of the most versatile crops for oil production, human diets, and feedstocks. The vegetative biomass of soybean is an important determinant of seed yield and is crucial for the forage usages. However, the genetic control of soybean biomass is not well explained. In this work, we used a soybean germplasm population, including 231 improved cultivars, 207 landraces, and 121 wild soybeans, to investigate the genetic basis of biomass accumulation of soybean plants at the V6 stage. We found that biomass-related traits, including NDW (nodule dry weight), RDW (root dry weight), SDW (shoot dry weight), and TDW (total dry weight), were domesticated during soybean evolution. In total, 10 loci, encompassing 47 putative candidate genes, were detected for all biomass-related traits by a genome-wide association study. Among these loci, seven domestication sweeps and six improvement sweeps were identified. Glyma.05G047900, a purple acid phosphatase, was a strong candidate gene to improve biomass for future soybean breeding. This study provided new insights into the genetic basis of biomass accumulation during soybean evolution.SUPPLEMENTARY INFORMATION: The online version contains supplementary material available at 10.1007/s11032-023-01380-6.PMID:37312748 | PMC:PMC10248709 | DOI:10.1007/s11032-023-01380-6
Real-Time Volatile Metabolomics Analysis of Dendritic Cells
Anal Chem. 2023 Jun 13. doi: 10.1021/acs.analchem.3c00516. Online ahead of print.ABSTRACTDendritic cells (DCs) actively sample and present antigen to cells of the adaptive immune system and are thus vital for successful immune control and memory formation. Immune cell metabolism and function are tightly interlinked, and a better understanding of this interaction offers potential to develop immunomodulatory strategies. However, current approaches for assessing the immune cell metabolome are often limited by end-point measurements, may involve laborious sample preparation, and may lack unbiased, temporal resolution of the metabolome. In this study, we present a novel setup coupled to a secondary electrospray ionization-high resolution mass spectrometric (SESI-HRMS) platform allowing headspace analysis of immature and activated DCs in real-time with minimal sample preparation and intervention, with high technical reproducibility and potential for automation. Distinct metabolic signatures of DCs treated with different supernatants (SNs) of bacterial cultures were detected during real-time analyses over 6 h compared to their respective controls (SN only). Furthermore, the technique allowed for the detection of 13C-incorporation into volatile metabolites, opening the possibility for real-time tracing of metabolic pathways in DCs. Moreover, differences in the metabolic profile of naı̈ve and activated DCs were discovered, and pathway-enrichment analysis revealed three significantly altered pathways, including the TCA cycle, α-linolenic acid metabolism, and valine, leucine, and isoleucine degradation.PMID:37311562 | DOI:10.1021/acs.analchem.3c00516
Study on the mechanism of Shuganzhi Tablet against nonalcoholic fatty liver disease and lipid regulation effects of its main substances in vitro
J Ethnopharmacol. 2023 Jun 11:116780. doi: 10.1016/j.jep.2023.116780. Online ahead of print.ABSTRACTETHNOPHARMACOLOGICAL RELEVANCE: Shuganzhi Tablet (SGZT) originates from a famous traditional Chinese herbal formula Chaihu Decoction which can be applied to treat liver diseases, however, the pharmacodynamic mechanism of SGZT needs to be evaluated.AIM OF THIS STUDY: To study the mechanism of SGZT in the treatment of non-alcoholic fatty liver disease (NAFLD), and screen out its effective ingredients.MATERIALS AND METHODS: In this study, firstly, the main components of SGZT were analyzed qualitatively. And a rat model of NAFLD was established by feeding high-fat diet. Serum biochemical indexes and liver pathological analysis were used to evaluate the pharmacodynamic effect of SGZT in the treatment of NAFLD. In order to explore the pharmacodynamic mechanism, proteomics and metabolomics analysis were used. Western blotting was used to verify the expression of important differential proteins. And L02 cells were treated with free fatty acids (FFA) and the main substances of SGZT to establish the cell model of NAFLD in vitro and to reveal the pharmacodynamic substance of SGZT.RESULTS: Twelve components were detected in SGZT, and according to the results of serum biochemical indexes and liver pathological analysis, SGZT could effectively treat NAFLD. Combined with the results of bioinformatics analysis, we found that 133 differentially expressed proteins were reversed in liver samples of rats treated with SGZT. The important proteins in PPAR signaling pathway, steroid biosynthesis, cholesterol metabolism and fatty acid metabolism were mainly regulated to maintain cholesterol homeostasis and improve lipid metabolism. SGZT also affected various metabolites in rat liver, including eicosapentaenoic acid (EPA), docosahexaenoic acid (DHA) and taurine. In addition, the main components contained in SGZT (hesperidin, polydatin, naringin, emodin, specnuezhenide, saikosaponin A) and a metabolite (resveratrol) could significantly reduce FFA-induced intracellular lipid accumulation.CONCLUSION: SGZT effectively treated NAFLD, and PPAR-γ, Acsl4, Plin2 and Fads1 may be the main targets of SGZT. And Fads1-EPA/DHA-PPAR-γ may be the potential pharmacodynamic pathway. Cell experiments in vitro revealed that the main components of SGZT and their metabolites, such as hesperidin, polydatin, naringin, emodin, specnuezhenide, saikosaponin A and resveratrol may be the main components of its efficacy. Further research is needed to reveal and validate the pharmacodynamic mechanism.PMID:37311504 | DOI:10.1016/j.jep.2023.116780
Clinical efficacy and metabolomics study of Wendan Decoction in the treatment of Phlegm-dampness obstructive sleep apnea-hypopnea syndrome with type 2 diabetes mellitus
J Ethnopharmacol. 2023 Jun 11:116775. doi: 10.1016/j.jep.2023.116775. Online ahead of print.ABSTRACTETHNOPHARMACOLOGICAL RELEVANCE: Wendan Decoction (WDD) is one of the classic traditional Chinese prescriptions that has been used in the treatment of type 2 diabetes mellitus (T2DM), metabolic syndrome, obstructive sleep apnea-hypopnea syndrome (OSAHS) and so on. The therapeutic effects and mechanism of WDD remain to be explored, especially from the perspective of metabolomics, oxidative stress and inflammation.AIM OF THE STUDY: To investigate the therapeutic and metabolic regulatory effects and the underlying mechanism of WDD in OSAHS with T2DM patients.MATERIALS AND METHODS: All included patients were from Rudong Hospital of Traditional Chinese Medicine, Nantong, Jiangsu Province, China. Both groups received lifestyle interventions; at the same time, all of them were administered metformin (1500 mg/day) and dapagliflozin (10 mg/day), and the treatment group was administered WDD orally. All patients were treated for two months. Before and after treatment, the changes in clinical symptoms and signs of the two groups of patients were evaluated, and the detection indicators such as body mass index (BMI), apnea-hypopnea index (AHI), lowest arterial oxygen saturation (LSaO2), Epworth sleepiness scale (ESS), percentage of total sleep time with oxygen saturation <90% (TST90), fasting plasma glucose (FPG), 2-h post-load glucose(2h-PG), fasting insulin (FINS), homeostasis model assessment of insulin resistance (HOMA-IR),hemoglobin A1c (HbA1c), blood lipid levels, as well as the adverse reactions and compliance of the patients were observed and detection of serum metabolites in patients to screen out specific biomarkers. The serum metabolic profile of WDD in OSAHS with T2DM patients was explored using ultra-high-performance liquid chromatography-quadrupole/electrostatic field orbitrap high-resolution mass spectrometry (UPLC-Q Orbitrap HRMS).RESULTS: After treatment with WDD for 8 weeks, biochemical indicators, including BMI, FPG, 2h-PG, blood lipid, FINS, HbA1c, AHI, ESS, LSaO2, TST90, and HOMA-IR, were significantly improved. Serum metabolomic analysis showed that metabolites were differentially expressed before and after WDD-treated patients. Metabolomics results revealed that WDD regulated the biomarkers, such as DL-arginine, guaiacol sulfate, azelaic acid, phloroglucinol, uracil, L-tyrosine, cascarillin, Cortisol and L-alpha-lysophosphatidylcholine. Pathway enrichment analysis showed that the metabolites were associated with oxidative stress and inflammation.CONCLUSION: The study based on clinical research and metabolomics indicated that WDD can improve OSAHS with T2DM through multiple targets and pathways, and it may be a useful alternative therapy for the treatment of OSAHS with T2DM patients.PMID:37311503 | DOI:10.1016/j.jep.2023.116775
Antibiotics augment the impact of iron deficiency on metabolism in a piglet model
J Nutr Biochem. 2023 Jun 11:109405. doi: 10.1016/j.jnutbio.2023.109405. Online ahead of print.ABSTRACTInfancy and childhood represent a high-risk period for developing iron deficiency (ID) and is a period of increased susceptibility to infectious disease. Antibiotic use is high in children from low-, middle-, and high-income countries, and thus we sought to determine the impact of antibiotics in the context of ID. In this study, a piglet model was used to assess the impact of ID and antibiotics on systemic metabolism. ID was induced by withholding a ferrous sulfate injection after birth to piglets in the ID group and providing an iron deficient diet upon weaning on postnatal day (PD) 25. Antibiotics (gentamicin and spectinomycin) were administered on PD34-36 to a set of control (Con*+Abx) and ID piglets (ID+Abx) after weaning. Blood was analyzed on PD30 (before antibiotic administration) and PD43 (7 days after antibiotic administration). All ID piglets exhibited growth faltering and had lower hemoglobin and hematocrit compared to control (Con) and Con*+Abx throughout. The metabolome of ID piglets at weaning and sacrifice exhibited elevated markers of oxidative stress, ketosis, and ureagenesis compared to Con. The impact of antibiotics on Con*+Abx piglets did not result in significant changes to the serum metabolome 7-days after treatment; however, the impact of antibiotics on ID+Abx piglets resulted in the same metabolic changes observed in ID piglets, but with a greater magnitude when compared to Con. These results suggest that antibiotic administration in the context of ID exacerbates the negative metabolic impacts of ID and may have long lasting impacts on development.PMID:37311489 | DOI:10.1016/j.jnutbio.2023.109405
Cell-Membrane-Coated and Cell-Penetrating Peptide-Conjugated Trimagnetic Nanoparticles for Targeted Magnetic Hyperthermia of Prostate Cancer Cells
ACS Appl Mater Interfaces. 2023 Jun 13. doi: 10.1021/acsami.3c07248. Online ahead of print.ABSTRACTProstate malignancy represents the second leading cause of cancer-specific death among the male population worldwide. Herein, enhanced intracellular magnetic fluid hyperthermia is applied in vitro to treat prostate cancer (PCa) cells with minimum invasiveness and toxicity and highly specific targeting. We designed and optimized novel shape-anisotropic magnetic core-shell-shell nanoparticles (i.e., trimagnetic nanoparticles - TMNPs) with significant magnetothermal conversion following an exchange coupling effect to an external alternating magnetic field (AMF). The functional properties of the best candidate in terms of heating efficiency (i.e., Fe3O4@Mn0.5Zn0.5Fe2O4@CoFe2O4) were exploited following surface decoration with PCa cell membranes (CM) and/or LN1 cell-penetrating peptide (CPP). We demonstrated that the combination of biomimetic dual CM-CPP targeting and AMF responsiveness significantly induces caspase 9-mediated apoptosis of PCa cells. Furthermore, a downregulation of the cell cycle progression markers and a decrease of the migration rate in surviving cells were observed in response to the TMNP-assisted magnetic hyperthermia, suggesting a reduction in cancer cell aggressiveness.PMID:37312240 | DOI:10.1021/acsami.3c07248
Gut microbiota combined with fecal metabolomics reveals the effects of FuFang Runzaoling on the microbial and metabolic profiles in NOD mouse model of Sjögren's syndrome
BMC Complement Med Ther. 2023 Jun 13;23(1):195. doi: 10.1186/s12906-023-04017-5.ABSTRACTOBJECTIVE: Sjögren's syndrome (SS) is an inflammatory autoimmune disease characterized by high levels of chronic lymphocyte infiltration. Differences and dysfunction in the gut microbiota and metabolites may be closely related to the pathogenesis of SS. The purpose of this study was to reveal the relationship between the gut microbiota and metabolome in NOD mice as a model of SS and the role of FuFang Runzaoling (FRZ), which is a clinically effective in treating SS.METHODS: NOD mice were gavaged with FRZ for 10 weeks. The ingested volume of drinking water, submandibular gland index, pathologic changes of the submandibular glands, and serum cytokines interleukin (IL)-6, IL-10, IL-17 A, and tumor necrosis factor-alpha (TNF-α) were determined. The roles of FRZ on gut microbiota and fecal metabolites were explored by 16 S rRNA gene sequencing and liquid chromatography-mass spectrometry (LC-MC), respectively. The correlation between them was determined by Pearson correlation analysis.RESULTS: Compared with the model group, the drinking water volume of NOD mice treated with FRZ increased and the submandibular gland index decreased. FRZ effectively ameliorated lymphocyte infiltration in the small submandibular glands in mice. Serum levels of IL-6, TNF-α, and IL-17 A decreased, and IL-10 increased. The Firmicutes/Bacteroidetes ratio in the FRZ treatment group was higher. FRZ significantly downregulated the relative abundance of the family Bacteroidaceae and genus Bacteroides, and significantly upregulated the relative abundance of genus Lachnospiraceae_UCG-001. Orthogonal projections to latent structures discriminant analysis (OPLS-DA) revealed the significant change in fecal metabolites after FRZ treatment. Based on criteria of OPLS-DA variable influence on projection > 1, P < 0.05, and fragmentation score > 50, a total of 109 metabolites in the FRZ-H group were differentially regulated (47 downregulated and 62 upregulated) compared to their expressions in the model group. Kyoto Encyclopedia of Genes and Genomes pathway analysis revealed enriched metabolic of sphingolipid metabolism, retrograde endocannabinoid signaling, GABAergic synapse, necroptosis, arginine biosynthesis, and metabolism of histidine, alanine, aspartate, and glutamate. Correlation analysis between gut microbiota and fecal metabolites suggested that the enriched bacteria were related to many key metabolites.CONCLUSIONS: Taken together, we found FRZ could reduce the inflammatory responses in NOD mice by regulating the gut microbiota, fecal metabolites, and their correlation to emerge a therapeutic effect on mice with SS. This will lay the foundation for the further studies and applications of FRZ, and the use of gut microbiotas as drug targets to treat SS.PMID:37312184 | DOI:10.1186/s12906-023-04017-5
Construction of the XGBoost model for early lung cancer prediction based on metabolic indices
BMC Med Inform Decis Mak. 2023 Jun 13;23(1):107. doi: 10.1186/s12911-023-02171-x.ABSTRACTBACKGROUND: Lung cancer is a malignant tumour, and early diagnosis has been shown to improve the survival rate of lung cancer patients. In this study, we assessed the use of plasma metabolites as biomarkers for lung cancer diagnosis. In this work, we used a novel interdisciplinary mechanism, applied for the first time to lung cancer, to detect biomarkers for early lung cancer diagnosis by combining metabolomics and machine learning approaches.RESULTS: In total, 478 lung cancer patients and 370 subjects with benign lung nodules were enrolled from a hospital in Dalian, Liaoning Province. We selected 47 serum amino acid and carnitine indicators from targeted metabolomics studies using LC‒MS/MS and age and sex demographic indicators of the subjects. After screening by a stepwise regression algorithm, 16 metrics were included. The XGBoost model in the machine learning algorithm showed superior predictive power (AUC = 0.81, accuracy = 75.29%, sensitivity = 74%), with the metabolic biomarkers ornithine and palmitoylcarnitine being potential biomarkers to screen for lung cancer. The machine learning model XGBoost is proposed as an tool for early lung cancer prediction. This study provides strong support for the feasibility of blood-based screening for metabolites and provide a safer, faster and more accurate tool for early diagnosis of lung cancer.CONCLUSIONS: This study proposes an interdisciplinary approach combining metabolomics with a machine learning model (XGBoost) to predict early the occurrence of lung cancer. The metabolic biomarkers ornithine and palmitoylcarnitine showed significant power for early lung cancer diagnosis.PMID:37312179 | DOI:10.1186/s12911-023-02171-x
Author Correction: Rhinovirus-induced epithelial RIG-I inflammasome suppresses antiviral immunity and promotes inflammation in asthma and COVID-19
Nat Commun. 2023 Jun 13;14(1):3493. doi: 10.1038/s41467-023-39275-x.NO ABSTRACTPMID:37311773 | DOI:10.1038/s41467-023-39275-x
Genomic adaptation of Burkholderia anthina to glyphosate uncovers a novel herbicide resistance mechanism
Environ Microbiol Rep. 2023 Jun 13. doi: 10.1111/1758-2229.13184. Online ahead of print.ABSTRACTGlyphosate (GS) specifically inhibits the 5-enolpyruvyl-shikimate-3-phosphate (EPSP) synthase that converts phosphoenolpyruvate (PEP) and shikimate-3-phosphate to EPSP in the shikimate pathway of bacteria and other organisms. The inhibition of the EPSP synthase depletes the cell of the EPSP-derived aromatic amino acids as well as of folate and quinones. A variety of mechanisms (e.g., EPSP synthase modification) has been described that confer GS resistance to bacteria. Here, we show that the Burkholderia anthina strain DSM 16086 quickly evolves GS resistance by the acquisition of mutations in the ppsR gene. ppsR codes for the pyruvate/ortho-Pi dikinase PpsR that physically interacts and regulates the activity of the PEP synthetase PpsA. The mutational inactivation of ppsR causes an increase in the cellular PEP concentration, thereby abolishing the inhibition of the EPSP synthase by GS that competes with PEP for binding to the enzyme. Since the overexpression of the Escherichia coli ppsA gene in Bacillus subtilis and E. coli did not increase GS resistance in these organisms, the mutational inactivation of the ppsR gene resulting in PpsA overactivity is a GS resistance mechanism that is probably unique to B. anthina.PMID:37311711 | DOI:10.1111/1758-2229.13184
Graphical exploration of 600- and 60-MHz proton NMR spectral datasets from ground roast coffee extracts
Magn Reson Chem. 2023 Jun 13. doi: 10.1002/mrc.5373. Online ahead of print.ABSTRACTThis article uses a variety of graphical and mathematical approaches to analyse 600- and 60-MHz ('benchtop') proton NMR spectra acquired from lipophilic and hydrophilic extracts of roasted coffee beans. The collection of 40 authenticated samples comprised various coffee species, cultivars and hybrids. The spectral datasets were analysed by a combination of metabolomics approaches, cross-correlation and whole spectrum methods, assisted by visualisation and mathematical techniques not conventionally employed to treat NMR data. A large amount of information content was shared between the 600-MHz and benchtop datasets, including in its magnitude spectral form, suggesting the potential for a lower cost, lower tech route to conducting informative metabolomics studies.PMID:37311710 | DOI:10.1002/mrc.5373
Contribution of lipids to the organelle differential profile of in vitro-produced bovine embryos
Theriogenology. 2023 Jun 6;208:109-118. doi: 10.1016/j.theriogenology.2023.06.005. Online ahead of print.ABSTRACTEach living organism is unique because of the lipid identity of its organelles. The diverse distribution of these molecules also contributes to the role of each organelle in cellular activity. The lipid profiles of whole embryos are well documented in the literature. However, this approach can often lead to the loss of relevant information at the subcellular and consequently, metabolic levels, hindering a deeper understanding of key physiological processes during preimplantation development. Therefore, we aimed to characterize four organelles in vitro-produced bovine embryos: lipid droplets (LD), endoplasmic reticulum (ER), mitochondria (MIT), and nuclear membrane (NUC), and evaluate the contribution of the lipid species to each organelle evaluated. Expanded blastocysts were subjected to cell organelle isolation. Thereafter, lipid extraction from cell organelles and lipid analysis using the Multiple Reaction Monitoring (MRM) profiling method were performed. The LD and ER displayed a greater number of lipids (Phosphatidylcholine - PC, Ceramide - Cer, and Sphingomielin - SM) with high signal-to-noise intensities. This result is due to the high rate of biosynthesis, lipid distribution, and ability to store and recycle lipid species of these organelles. The NUC had a more distinct lipid profile than the other three organelles, with high relative intensities of PC, SM, and triacylglycerols (TG), which is consistent with its high nuclear activity. MIT had an intermediate profile that was close to that of LD and ER, which aligns with its autonomous metabolism for some classes of phospholipids (PL). Our study revealed the lipid composition of each organelle studied, and the roles of these lipids could be associated with the characteristic organellar activity. Our findings highlight the lipid species and classes that are relevant for the homeostasis and function of each associated organelle and provide tentative biomarkers for the determination of in vitro embryonic development and quality.PMID:37311262 | DOI:10.1016/j.theriogenology.2023.06.005
Toward Gene-Correlated Spatially Resolved Metabolomics with Fingerprint Coherent Raman Imaging
J Phys Chem B. 2023 Jun 13. doi: 10.1021/acs.jpcb.3c01446. Online ahead of print.ABSTRACTRaman spectroscopy has long been known to provide sufficient information to discriminate distinct cell phenotypes. Underlying this discriminating capability is that Raman spectra provide an overall readout of the metabolic profiles that change with transcriptomic activity. Robustly associating Raman spectral changes with the regulation of specific signaling pathways may be possible, but the spectral signals of interest may be weak and vary somewhat among individuals. Establishing a Raman-to-transcriptome mapping will thus require tightly controlled and easily manipulated biological systems and high-throughput spectral acquisition. We attempt to meet these requirements using broadband coherent anti-Stokes Raman scattering (BCARS) microscopy to spatio-spectrally map the C. elegans hermaphrodite gonad in vivo at subcellular resolution. The C. elegans hermaphrodite gonad is an ideal model system with a sequential, continuous process of highly regulated spatiotemporal cellular events. We demonstrate that the BCARS spatio-spectral signatures correlate with gene expression profiles in the gonad, evincing that BCARS has potential as a spatially resolved omics surrogate.PMID:37311254 | DOI:10.1021/acs.jpcb.3c01446
IDSL.CSA: Composite Spectra Analysis for Chemical Annotation of Untargeted Metabolomics Datasets
Anal Chem. 2023 Jun 13. doi: 10.1021/acs.analchem.3c00376. Online ahead of print.ABSTRACTPoor chemical annotation of high-resolution mass spectrometry data limits applications of untargeted metabolomics datasets. Our new software, the Integrated Data Science Laboratory for Metabolomics and Exposomics─Composite Spectra Analysis (IDSL.CSA) R package, generates composite mass spectra libraries from MS1-only data, enabling the chemical annotation of high-resolution mass spectrometry coupled with liquid chromatography peaks regardless of the availability of MS2 fragmentation spectra. We demonstrate comparable annotation rates for commonly detected endogenous metabolites in human blood samples using IDSL.CSA libraries versus MS/MS libraries in validation tests. IDSL.CSA can create and search composite spectra libraries from any untargeted metabolomics dataset generated using high-resolution mass spectrometry coupled to liquid or gas chromatography instruments. The cross-applicability of these libraries across independent studies may provide access to new biological insights that may be missed due to the lack of MS2 fragmentation data. The IDSL.CSA package is available in the R-CRAN repository at https://cran.r-project.org/package=IDSL.CSA. Detailed documentation and tutorials are provided at https://github.com/idslme/IDSL.CSA.PMID:37311059 | DOI:10.1021/acs.analchem.3c00376
xCT-mediated glutamate excretion in white adipocytes stimulates interferon-γ production by natural killer cells in obesity
Cell Rep. 2023 Jun 12;42(6):112636. doi: 10.1016/j.celrep.2023.112636. Online ahead of print.ABSTRACTObesity-mediated hypoxic stress underlies inflammation, including interferon (IFN)-γ production by natural killer (NK) cells in white adipose tissue. However, the effects of obesity on NK cell IFN-γ production remain obscure. Here, we show that hypoxia promotes xCT-mediated glutamate excretion and C-X-C motif chemokine ligand 12 (CXCL12) expression in white adipocytes, resulting in CXCR4+ NK cell recruitment. Interestingly, this spatial proximity between adipocytes and NK cells induces IFN-γ production in NK cells by stimulating metabotropic glutamate receptor 5 (mGluR5). IFN-γ then triggers inflammatory activation of macrophages and augments xCT and CXCL12 expression in adipocytes, forming a bidirectional pathway. Genetic or pharmacological inhibition of xCT, mGluR5, or IFN-γ receptor in adipocytes or NK cells alleviates obesity-related metabolic disorders in mice. Consistently, patients with obesity showed elevated levels of glutamate/mGluR5 and CXCL12/CXCR4 axes, suggesting that a bidirectional pathway between adipocytes and NK cells could be a viable therapeutic target in obesity-related metabolic disorders.PMID:37310859 | DOI:10.1016/j.celrep.2023.112636