PubMed

Physiol Plant. 2023 Mar 23:e13896. doi: 10.1111/ppl.13896. Online ahead of print.ABSTRACTSalt stress is a dominant environmental factor that restricts the growth and yield of crops. Nitrogen is an essential mineral element for plants, regulates various physiological and biochemical processes, and has been reported to enhance salt tolerance in plants. However, the crosstalk between salt and nitrogen in grapes is not well understood. In this study, we found that nitrogen supplementation (0.01 mol L-1 and 0.1 mol L-1 NH4 NO3 ) significantly increased the accumulation of proline, chlorophyll, Na+ , NH4 + and NO3 - , while it reduced the malondialdehyde content and inhibited photosynthetic performance under salt stress conditions (200 mmol L-1 NaCl). Further transcriptome and metabolome analyses showed that a total of 4890 differentially expressed genes (DEGs) and 753 differential accumulation metabolites (DAMs) were identified. Joint omics results revealed that plant hormone signal transduction pathway connected the DEGs and DAMs. In-depth analysis revealed that nitrogen supplementation increased the levels of endogenous abscisic acid (ABA), salicylic acid (SA) and jasmonic acid (JA) by inducing the expression of 11, 4 and 13 genes related to their respective biosynthesis pathway. In contrast, endogenous indoleacetic acid (IAA) content was significantly reduced due to the remarkable regulation of 7 genes of its biosynthetic pathway. The modulation in hormone contents subsequently activated the differential expression of 13, 10, 12 and 29 genes of the respective downstream hormone signaling transduction pathways. Overall, all results indicate that moderate nitrogen supplementation could improve salt tolerance by regulating grape physiology and endogenous hormone homeostasis, as well as the expression of key genes in signaling pathways, which provides new insights into the interactions between mineral elements and salt stress. This article is protected by copyright. All rights reserved.PMID:36951039 | DOI:10.1111/ppl.13896

Ecotoxicol Environ Saf. 2023 Apr 1;254:114737. doi: 10.1016/j.ecoenv.2023.114737. Epub 2023 Mar 10.ABSTRACTMicroplastic pollution is an emerging threat for marine and terrestrial ecosystems, which has raised global concerns about its implications for human health. Mounting evidence has shown that the gut microbiota plays a key role in human health and diseases. The gut bacteria could be disturbed by many environmental factors, including the microplastic particles. However, the size effect of polystyrene microplastics on mycobiome, as well as gut functional metagenome has not been well studied. In this study, we performed ITS sequencing to explore the size effect of polystyrene microplastics on the fungal composition, in combination with the shotgun metagenomics sequencing to reveal the size effects of polystyrene on the functional metagenome. We found that polystyrene microplastic particles with 0.05-0.1 µm diameter showed greater impact on the bacterial and fungal composition of gut microbiota as well as the metabolic pathways than the polystyrene microplastic particles with 9-10 µm diameter. Our results suggested that size-depended effects should not be ignored in the health risk assessment of microplastics.PMID:36950986 | DOI:10.1016/j.ecoenv.2023.114737

J Clin Endocrinol Metab. 2023 Mar 23:dgad168. doi: 10.1210/clinem/dgad168. Online ahead of print.ABSTRACTAIMS: Precision medicine has revolutionised our understanding of type 1 diabetes and neonatal diabetes, but has yet to improve insight into gestational diabetes (GDM), the most common obstetric complication, and strongly linked to obesity. Here we explored if patterns of glycaemia (fasting, 1h, 2h) during the antenatal oral glucose tolerance test (OGTT), reflect distinct pathophysiological subtypes of GDM as defined by insulin secretion/sensitivity or lipid profiles.METHODS: 867 pregnant women with obesity (BMI > 30kg/m2) from the UPBEAT trial (ISRCTN 89971375) were assessed for GDM at 28 weeks' gestation (75g oral glucose tolerance test OGTT; WHO criteria). Lipid profiling of the fasting plasma OGTT sample was undertaken using direct infusion mass spectrometry and analysed by logistic/linear regression, with and without adjustment for confounders. Insulin secretion and sensitivity were characterised by HOMA2b and HOMA2s respectively.RESULTS: In women who developed GDM (n=241), patterns of glycaemia were associated with distinct clinical and biochemical characteristics, and changes to lipid abundance in the circulation. Severity of glucose derangement, rather than pattern of postload glycaemia, was most strongly related to insulin action and lipid abundance/profile. Unexpectedly, women with isolated postload hyperglycaemia had comparable insulin secretion and sensitivity to euglycaemic women potentially indicative of a novel mechanistic pathway.CONCLUSIONS: Patterns of glycaemia during the OGTT may contribute to a precision approach to GDM as assessed by differences in insulin resistance/secretion. Further research is indicated to determine if isolated postload hyperglycaemia reflects a different mechanistic pathway for targeted management.PMID:36950879 | DOI:10.1210/clinem/dgad168

Data Brief. 2023 Mar 7;48:109038. doi: 10.1016/j.dib.2023.109038. eCollection 2023 Jun.ABSTRACTThe prawn Palaemon serratus exhibits a large distribution (occurring along the Northeastern Atlantic coast to the Mediterranean), and has thus been found suitable as model organism valuable for various ecotoxicological studies. However, little is still known about the potential input of its metabolome and particularly concerning a potential molecular sexual dimorphism observable in the different tissues of this organism. In an ecotoxicological point of view, inter-sex and inter-organ differences of the metabolomes may introduce analytical bias and impact the robustness of the analysis and its interpretation. To explore such possibilities, we obtained qualitative metabolomic data from the analysis of different organs of mature male and female Palaemon serratus. We used ultra-high-performance liquid chromatography-electrospray ionization-high resolution tandem mass spectrometry (UHPLC-ESI-HRMS on positive mode) to characterize the 75%-extracted metabolome of both gills, hepatopancreas, nervous gland, muscle and gonads. The data were dereplicated using specific metabolomic software (MetaboScape 4) and 2,782 features were extracted, 1,720 of them being also analysed on MS/MS mode, supporting molecular networking investigations with Metgem 1.3.6. These metabolites were thus putatively identified using GNPS (Global Natural Product Social) Molecular Networking databases for de-novo annotation followed by manual curation of 84 metabolites. This data provides essential information on the important sexual dimorphism occurring at the molecular level in the different organs and supports further research on physiology and ecotoxicology in common European prawn.PMID:36950560 | PMC:PMC10027497 | DOI:10.1016/j.dib.2023.109038

Front Mol Biosci. 2023 Mar 6;10:1074263. doi: 10.3389/fmolb.2023.1074263. eCollection 2023.ABSTRACTIn the present study, the development and optimization of a thin film solid phase microextraction method (TF-SPME) was conducted for metabolomics profiling of eight steroid compounds (androsterone, dihydrotestosterone, dihydroepiandrosterone, estradiol, hydroxyprogesterone, pregnenolone, progesterone and testosterone) from urine samples. For optimization of extraction method, two extraction sorbents (PAN-C18 and PS-DVB) were used as they are known to be effective for isolation of low-polarity analytes. The stages of sample extraction and analyte desorption were considered as the most crucial steps in the process. Regarding the selection of the most suitable desorption solution, six different mixtures were analyzed. As a result, the mixture of ACN: MeOH (1:1, v/v) was chosen in terms of the highest analytes' abundances that were achieved using the chosen solvent. Besides other factors were examined such as the volume of desorption solvent and the time of both extraction and desorption processes. The analytical determination was carried out using the ultra-high performance liquid chromatography coupled with high resolution tandem mass spectrometry detection in electrospray ionization and positive polarity in a scan mode (UHPLC-ESI-QTOF/MS). The developed and optimized TF-SPME method was validated in terms of such parameters as extraction efficiency, recovery as well as matrix effect. As a result, the extraction efficiency and recovery were in a range from 79.3% to 99.2% and from 88.8% to 111.8%, respectively. Matrix effect, calculated as coefficient of variation was less than 15% and was in a range from 1.4% to 11.1%. The values of both validation parameters (recovery and matrix effect) were acceptable in terms of EMA criteria. The proposed TF-SPME method was used successfully for isolation of steroids hormones from pooled urine samples before and after enzymatic hydrolysis of analytes.PMID:36950525 | PMC:PMC10025495 | DOI:10.3389/fmolb.2023.1074263

J Clin Exp Hepatol. 2023 Mar-Apr;13(2):203-217. doi: 10.1016/j.jceh.2022.11.012. Epub 2022 Nov 26.ABSTRACTBACKGROUND/AIMS: Global liquid chromatography mass spectrometry (LC-MS) profiling in a Thai population has previously identified a urinary metabolic signature in Opisthorchis viverrini-induced cholangiocarcinoma (CCA), primarily characterised by disturbance in acylcarnitine, bile acid, steroid, and purine metabolism. However, the detection of thousands of analytes by LC-MS in a biological sample in a single experiment potentially introduces false discovery errors. To verify these observed metabolic perturbations, a second validation dataset from the same population was profiled in a similar fashion.METHODS: Reverse-phase ultra-performance liquid-chromatography mass spectrometry was utilised to acquire the global spectral profile of 98 spot urine samples (from 46 healthy volunteers and 52 CCA patients) recruited from Khon Kaen, northeast Thailand (the highest incidence of CCA globally).RESULTS: Metabolites were differentially expressed in the urinary profiles from CCA patients. High urinary elimination of bile acids was affected by the presence of obstructive jaundice. The urine metabolome associated with non-jaundiced CCA patients showed a distinctive pattern, similar but not identical to published studies. A panel of 10 metabolites achieved a diagnostic accuracy of 93.4% and area under the curve value of 98.8% (CI = 96.3%-100%) for the presence of CCA.CONCLUSIONS: Global characterisation of the CCA urinary metabolome identified several metabolites of biological interest in this validation study. Analyses of the diagnostic utility of the discriminant metabolites showed excellent diagnostic potential. Further larger scale studies are required to confirm these findings internationally, particularly in comparison to sporadic CCA, not associated with liver fluke infestation.PMID:36950498 | PMC:PMC10025591 | DOI:10.1016/j.jceh.2022.11.012

Front Plant Sci. 2023 Mar 6;14:1123655. doi: 10.3389/fpls.2023.1123655. eCollection 2023.ABSTRACTMicronutrient malnutrition is a serious threat to the developing world's human population, which largely relies on a cereal-based diet that lacks diversity and micronutrients. Besides major cereals, millets represent the key sources of energy, protein, vitamins, and minerals for people residing in the dryland tropics and drought-prone areas of South Asia and sub-Saharan Africa. Millets serve as multi-purpose crops with several salient traits including tolerance to abiotic stresses, adaptation to diverse agro-ecologies, higher productivity in nutrient-poor soils, and rich nutritional characteristics. Considering the potential of millets in empowering smallholder farmers, adapting to changing climate, and transforming agrifood systems, the year 2023 has been declared by the United Nations as the International Year of Millets. In this review, we highlight recent genetic and genomic innovations that can be explored to enhance grain micronutrient density in millets. We summarize the advances made in high-throughput phenotyping to accurately measure grain micronutrient content in cereals. We shed light on genetic diversity in millet germplasm collections existing globally that can be exploited for developing nutrient-dense and high-yielding varieties to address food and nutritional security. Furthermore, we describe the progress made in the fields of genomics, proteomics, metabolomics, and phenomics with an emphasis on enhancing the grain nutritional content for designing competitive biofortified varieties for the future. Considering the close genetic-relatedness within cereals, upcoming research should focus on identifying the genetic and genomic basis of nutritional traits in millets and introgressing them into major cereals through integrated omics approaches. Recent breakthroughs in the genome editing toolbox would be crucial for mainstreaming biofortification in millets.PMID:36950360 | PMC:PMC10025513 | DOI:10.3389/fpls.2023.1123655

Front Microbiol. 2023 Mar 6;14:1139386. doi: 10.3389/fmicb.2023.1139386. eCollection 2023.ABSTRACTKorean red ginseng has been widely used as an herbal medicine. Red ginseng dietary fiber (RGDF) is a residue of the processed ginseng product but still contains bioactive constituents that can be applied as prebiotics. In this study, we evaluated changes on fermentation profiles and probiotic properties of strains that belong to family Lactobacillaceae with RGDF supplementation. Metabolomic analyses were performed to understand specific mechanisms on the metabolic alteration by RGDF and to discover novel bioactive compounds secreted by the RGDF-supplemented probiotic strain. RGDF supplementation promoted short-chain fatty acid (SCFA) production, carbon source utilization, and gut epithelial adhesion of Lactiplantibacillus plantarum and inhibited attachment of enteropathogens. Intracellular and extracellular metabolome analyses revealed that RGDF induced metabolic alteration, especially associated with central carbon metabolism, and produced RGDF-specific metabolites secreted by L. plantarum, respectively. Specifically, L. plantarum showed decreases in intracellular metabolites of oleic acid, nicotinic acid, uracil, and glyceric acid, while extracellular secretion of several metabolites including oleic acid, 2-hydroxybutanoic acid, hexanol, and butyl acetate increased. RGDF supplementation had distinct effects on L. plantarum metabolism compared with fructooligosaccharide supplementation. These findings present potential applications of RGDF as prebiotics and bioactive compounds produced by RGDF-supplemented L. plantarum as novel postbiotic metabolites for human disease prevention and treatment.PMID:36950168 | PMC:PMC10025373 | DOI:10.3389/fmicb.2023.1139386

Front Microbiol. 2023 Mar 6;14:1090740. doi: 10.3389/fmicb.2023.1090740. eCollection 2023.ABSTRACTINTRODUCTION: Stringent cleaning procedures during spacecraft assembly are critical to maintaining the integrity of life-detection missions. To ensure cleanliness, NASA spacecraft are assembled in cleanroom facilities, where floors are routinely cleansed with Kleenol 30 (K30), an alkaline detergent.METHODS: Through metabolomic and cultivation approaches, we show that cultures of spacecraft-associated Acinetobacter tolerate up to 1% v/v K30 and are fully inhibited at ≥2%; in comparison, NASA cleanrooms are cleansed with ~0.8-1.6% K30.RESULTS: For A. johnsonii 2P08AA (isolated from a cleanroom floor), cultivations with 0.1% v/v K30 yield (1) no changes in cell density at late-log phase, (2) modest decreases in growth rate (~17%), (3) negligible lag phase times, (4) limited changes in the intracellular metabolome, and (5) increases in extracellular sugar acids, monosaccharides, organic acids, and fatty acids. For A. radioresistens 50v1 (isolated from a spacecraft surface), cultivations yield (1) ~50% survivals, (2) no changes in growth rate, (3) ~70% decreases in the lag phase time, (4) differential changes in intracellular amino acids, compatible solutes, nucleotide-related metabolites, dicarboxylic acids, and saturated fatty acids, and (5) substantial yet differential impacts to extracellular sugar acids, monosaccharides, and organic acids.DISCUSSION: These combined results suggest that (1) K30 manifests strain-dependent impacts on the intracellular metabolomes, cultivation kinetics, and survivals, (2) K30 influences extracellular trace element acquisition in both strains, and (3) K30 is better tolerated by the floor-associated strain. Hence, this work lends support towards the hypothesis that repeated cleansing during spacecraft assembly serve as selective pressures that promote tolerances towards the cleaning conditions.PMID:36950167 | PMC:PMC10025500 | DOI:10.3389/fmicb.2023.1090740

Pediatr Gastroenterol Hepatol Nutr. 2023 Mar;26(2):99-115. doi: 10.5223/pghn.2023.26.2.99. Epub 2023 Mar 7.ABSTRACTPURPOSE: Exclusive breastfeeding promotes gut microbial compositions associated with lower rates of metabolic and autoimmune diseases. Its cessation is implicated in increased microbiome-metabolome discordance, suggesting a vulnerability to dietary changes. Formula supplementation is common within our low-income, ethnic-minority community. We studied exclusively breastfed (EBF) neonates' early microbiome-metabolome coupling in efforts to build foundational knowledge needed to target this inequality.METHODS: Maternal surveys and stool samples from seven EBF neonates at first transitional stool (0-24 hours), discharge (30-48 hours), and at first appointment (days 3-5) were collected. Survey included demographics, feeding method, medications, medical history and tobacco and alcohol use. Stool samples were processed for 16S rRNA gene sequencing and lipid analysis by gas chromatography-mass spectrometry. Alpha and beta diversity analyses and Procrustes randomization for associations were carried out.RESULTS: Firmicutes, Proteobacteria, Bacteroidetes and Actinobacteria were the most abundant taxa. Variation in microbiome composition was greater between individuals than within (p=0.001). Palmitic, oleic, stearic, and linoleic acids were the most abundant lipids. Variation in lipid composition was greater between individuals than within (p=0.040). Multivariate composition of the metabolome, but not microbiome, correlated with time (p=0.030). Total lipids, saturated lipids, and unsaturated lipids concentrations increased over time (p=0.012, p=0.008, p=0.023). Alpha diversity did not correlate with time (p=0.403). Microbiome composition was not associated with each samples' metabolome (p=0.450).CONCLUSION: Neonate gut microbiomes were unique to each neonate; respective metabolome profiles demonstrated generalizable temporal developments. The overall variability suggests potential interplay between influences including maternal breastmilk composition, amount consumed and living environment.PMID:36950061 | PMC:PMC10025571 | DOI:10.5223/pghn.2023.26.2.99

Front Pharmacol. 2023 Mar 6;14:1141147. doi: 10.3389/fphar.2023.1141147. eCollection 2023.ABSTRACTAs a traditional Chinese medicine, rhubarb has been used in a variety of liver diseases and it is widely used in clinic to prevent and treat acute liver injury. Anthraquinone, as the main medicinal component of rhubarb, can reverse the further development of liver fibrosis caused by acute liver injury. In this study, metabonomics was used to explore the mechanism of different doses of rhubarb anthraquinone on acute liver injury in rats. Rhubarb anthraquinone was administered intragastric to rats at doses of 3.9, 7.8 and 15.6 mg/kg, respectively, for 7 days, and then 30% CCl4 was injected intraperitoneally at the dose of 1 ml/kg to replicate the acute liver injury model. The biochemical indicators content of ALT, AST, ALP, γ-GT, TG, TC, LDL, HDL in serum and GSH, Hyp, SOD, TNF-α, IL-6 and IL-8 in liver tissue extract were tested respectively, and liver tissue was histopathologically analysis. At the same time, UPLC-Q-TOF-MS combined with non-targeted metabolomics were used to study the metabolites and metabolic pathways of rhubarb anthraquinone in treating acute liver injury. Compared with normal rats, the contents of ALT, AST, ALP, TG, TC, LDL, γ-GT in serum and Hyp, MDA, IL-6, IL-8, TNF-α in the liver tissue extract were significantly increased in model rats (p < 0.05, p < 0.01), and the content of HDL in the serum was significantly decreased (p < 0.05); the activities of GSH and SOD in liver tissue extract were also significantly decreased (p < 0.05). After administration of rhubarb anthraquinone, compared with the model group, with the increase of dosage, some biochemical indexes showed opposite changes, and gradually approached to normal rats. 12 different metabolites were identified by metabonomics, and the biosynthesis and metabolism of phenylalanine, tyrosine and tryptophan, the metabolism of amino sugars, nucleotide sugars and pyrimidines metabolism, and the biosynthesis of steroid hormone were identified based on the biomarker analysis. Based on the biochemical analysis and metabonomics analysis of rats with acute liver injury treated with different doses of rhubarb anthraquinone, combined with histopathological observation, the results show that the protective effect of rhubarb anthraquinone on acute liver injury is related to the dosage; Meanwhile, the metabolic pathway analysis suggested that rhubarb anthraquinone alleviate acute liver injury by regulating inflammation, oxidative stress and fibrosis disorders. This study explained the therapeutic effect of rhubarb anthraquinone on acute liver injury from both material basis and action pathway, and provided safe and effective research ideas for clinical application of rhubarb.PMID:36950014 | PMC:PMC10025310 | DOI:10.3389/fphar.2023.1141147

ERJ Open Res. 2023 Mar 20;9(2):00332-2022. doi: 10.1183/23120541.00332-2022. eCollection 2023 Mar.ABSTRACTPURPOSE: Obstructive lung disease is increasingly common among persons with HIV, both smokers and nonsmokers. We used aptamer proteomics to identify proteins and associated pathways in HIV-associated obstructive lung disease.METHODS: Bronchoalveolar lavage fluid (BALF) samples from 26 persons living with HIV with obstructive lung disease were matched to persons living with HIV without obstructive lung disease based on age, smoking status and antiretroviral treatment. 6414 proteins were measured using SomaScan® aptamer-based assay. We used sparse distance-weighted discrimination (sDWD) to test for a difference in protein expression and permutation tests to identify univariate associations between proteins and forced expiratory volume in 1 s % predicted (FEV1 % pred). Significant proteins were entered into a pathway over-representation analysis. We also constructed protein-driven endotypes using K-means clustering and performed over-representation analysis on the proteins that were significantly different between clusters. We compared protein-associated clusters to those obtained from BALF and plasma metabolomics data on the same patient cohort.RESULTS: After filtering, we retained 3872 proteins for further analysis. Based on sDWD, protein expression was able to separate cases and controls. We found 575 proteins that were significantly correlated with FEV1 % pred after multiple comparisons adjustment. We identified two protein-driven endotypes, one of which was associated with poor lung function, and found that insulin and apoptosis pathways were differentially represented. We found similar clusters driven by metabolomics in BALF but not plasma.CONCLUSION: Protein expression differs in persons living with HIV with and without obstructive lung disease. We were not able to identify specific pathways differentially expressed among patients based on FEV1 % pred; however, we identified a unique protein endotype associated with insulin and apoptotic pathways.PMID:36949960 | PMC:PMC10026002 | DOI:10.1183/23120541.00332-2022

Eur J Neurosci. 2023 Mar 22. doi: 10.1111/ejn.15972. Online ahead of print.ABSTRACTA healthy state of life suggests not only a disease-free condition but also normal psychological functioning and behavior. To maintain a healthy life, the duration of light exposure is a crucial factor. Perturbation of the standard light-dark cycle (LD: 12h light-12 h dark in mice) may result in brain, behavioral, and physiological abnormalities. The current study determined the effects of three weeks and five weeks of constant darkness (DD: 00h light-24h dark) on the behavior, hormones, prefrontal cortex (PFC), and metabolome of male and female C57BL/6J mice. We also studied three weeks of restoration in LD following five weeks of DD exposure. The results revealed that three weeks of DD affected male mice more than females, and five weeks of DD had a comparable impact on behavior, hormones, and the PFC of male and female mice. After restoration in LD, the DD-induced changes reverted to time-matched LD conditions in male and female mice. Furthermore, metabolome analysis corroborated male and female mice's behavioral and molecular kinetics. The present study laid the foundation for understanding how DD affects behavior and the PFC as a function of a) time- and b) sex and described the roles of stress and sex hormones, cytokines, neurotrophins, and metabolic pathways.PMID:36949580 | DOI:10.1111/ejn.15972

BMC Bioinformatics. 2023 Mar 22;24(1):106. doi: 10.1186/s12859-023-05149-8.ABSTRACTBACKGROUND: Biochemical reaction prediction tools leverage enzymatic promiscuity rules to generate reaction networks containing novel compounds and reactions. The resulting reaction networks can be used for multiple applications such as designing novel biosynthetic pathways and annotating untargeted metabolomics data. It is vital for these tools to provide a robust, user-friendly method to generate networks for a given application. However, existing tools lack the flexibility to easily generate networks that are tailor-fit for a user's application due to lack of exhaustive reaction rules, restriction to pre-computed networks, and difficulty in using the software due to lack of documentation.RESULTS: Here we present Pickaxe, an open-source, flexible software that provides a user-friendly method to generate novel reaction networks. This software iteratively applies reaction rules to a set of metabolites to generate novel reactions. Users can select rules from the prepackaged JN1224min ruleset, derived from MetaCyc, or define their own custom rules. Additionally, filters are provided which allow for the pruning of a network on-the-fly based on compound and reaction properties. The filters include chemical similarity to target molecules, metabolomics, thermodynamics, and reaction feasibility filters. Example applications are given to highlight the capabilities of Pickaxe: the expansion of common biological databases with novel reactions, the generation of industrially useful chemicals from a yeast metabolome database, and the annotation of untargeted metabolomics peaks from an E. coli dataset.CONCLUSION: Pickaxe predicts novel metabolic reactions and compounds, which can be used for a variety of applications. This software is open-source and available as part of the MINE Database python package ( https://pypi.org/project/minedatabase/ ) or on GitHub ( https://github.com/tyo-nu/MINE-Database ). Documentation and examples can be found on Read the Docs ( https://mine-database.readthedocs.io/en/latest/ ). Through its documentation, pre-packaged features, and customizable nature, Pickaxe allows users to generate novel reaction networks tailored to their application.PMID:36949401 | DOI:10.1186/s12859-023-05149-8

BMC Bioinformatics. 2023 Mar 22;24(1):108. doi: 10.1186/s12859-023-05211-5.ABSTRACTBACKGROUND: Stable Isotope Resolved Metabolomics (SIRM) is a new biological approach that uses stable isotope tracers such as uniformly [Formula: see text]-enriched glucose ([Formula: see text]-Glc) to trace metabolic pathways or networks at the atomic level in complex biological systems. Non-steady-state kinetic modeling based on SIRM data uses sets of simultaneous ordinary differential equations (ODEs) to quantitatively characterize the dynamic behavior of metabolic networks. It has been increasingly used to understand the regulation of normal metabolism and dysregulation in the development of diseases. However, fitting a kinetic model is challenging because there are usually multiple sets of parameter values that fit the data equally well, especially for large-scale kinetic models. In addition, there is a lack of statistically rigorous methods to compare kinetic model parameters between different experimental groups.RESULTS: We propose a new Bayesian statistical framework to enhance parameter estimation and hypothesis testing for non-steady-state kinetic modeling of SIRM data. For estimating kinetic model parameters, we leverage the prior distribution not only to allow incorporation of experts' knowledge but also to provide robust parameter estimation. We also introduce a shrinkage approach for borrowing information across the ensemble of metabolites to stably estimate the variance of an individual isotopomer. In addition, we use a component-wise adaptive Metropolis algorithm with delayed rejection to perform efficient Monte Carlo sampling of the posterior distribution over high-dimensional parameter space. For comparing kinetic model parameters between experimental groups, we propose a new reparameterization method that converts the complex hypothesis testing problem into a more tractable parameter estimation problem. We also propose an inference procedure based on credible interval and credible value. Our method is freely available for academic use at https://github.com/xuzhang0131/MCMCFlux .CONCLUSIONS: Our new Bayesian framework provides robust estimation of kinetic model parameters and enables rigorous comparison of model parameters between experimental groups. Simulation studies and application to a lung cancer study demonstrate that our framework performs well for non-steady-state kinetic modeling of SIRM data.PMID:36949395 | DOI:10.1186/s12859-023-05211-5

Nat Commun. 2023 Mar 22;14(1):1595. doi: 10.1038/s41467-023-37291-5.ABSTRACTThe regulation of the informational flow from the mitochondria to the nucleus (mitonuclear communication) is not fully characterized in the heart. We have determined that mitochondrial ribosomal protein S5 (MRPS5/uS5m) can regulate cardiac function and key pathways to coordinate this process during cardiac stress. We demonstrate that loss of Mrps5 in the developing heart leads to cardiac defects and embryonic lethality while postnatal loss induces cardiac hypertrophy and heart failure. The structure and function of mitochondria is disrupted in Mrps5 mutant cardiomyocytes, impairing mitochondrial protein translation and OXPHOS. We identify Klf15 as a Mrps5 downstream target and demonstrate that exogenous Klf15 is able to rescue the overt defects and re-balance the cardiac metabolome. We further show that Mrps5 represses Klf15 expression through c-myc, together with the metabolite L-phenylalanine. This critical role for Mrps5 in cardiac metabolism and mitonuclear communication highlights its potential as a target for heart failure therapies.PMID:36949106 | DOI:10.1038/s41467-023-37291-5

Signal Transduct Target Ther. 2023 Mar 22;8(1):137. doi: 10.1038/s41392-023-01380-0.ABSTRACTTumour cells have exquisite flexibility in reprogramming their metabolism in order to support tumour initiation, progression, metastasis and resistance to therapies. These reprogrammed activities include a complete rewiring of the bioenergetic, biosynthetic and redox status to sustain the increased energetic demand of the cells. Over the last decades, the cancer metabolism field has seen an explosion of new biochemical technologies giving more tools than ever before to navigate this complexity. Within a cell or a tissue, the metabolites constitute the direct signature of the molecular phenotype and thus their profiling has concrete clinical applications in oncology. Metabolomics and fluxomics, are key technological approaches that mainly revolutionized the field enabling researchers to have both a qualitative and mechanistic model of the biochemical activities in cancer. Furthermore, the upgrade from bulk to single-cell analysis technologies provided unprecedented opportunity to investigate cancer biology at cellular resolution allowing an in depth quantitative analysis of complex and heterogenous diseases. More recently, the advent of functional genomic screening allowed the identification of molecular pathways, cellular processes, biomarkers and novel therapeutic targets that in concert with other technologies allow patient stratification and identification of new treatment regimens. This review is intended to be a guide for researchers to cancer metabolism, highlighting current and emerging technologies, emphasizing advantages, disadvantages and applications with the potential of leading the development of innovative anti-cancer therapies.PMID:36949046 | DOI:10.1038/s41392-023-01380-0

Kidney Int. 2023 Apr;103(4):661-663. doi: 10.1016/j.kint.2022.12.025.ABSTRACTGiven their accessibility and relevance to established clinical workflows, blood and urine have been the major focus of investigation in metabolomics studies of human kidney disease. In this issue, Liu et al. describe the application of metabolomics to perfusate from donor kidneys subjected to hypothermic machine perfusion. In addition to providing an elegant model for investigating kidney metabolism, this study highlights the limitations of allograft quality assessment and identifies metabolites of interest in kidney ischemia.PMID:36948766 | DOI:10.1016/j.kint.2022.12.025

J Mol Cell Biol. 2023 Mar 22:mjad019. doi: 10.1093/jmcb/mjad019. Online ahead of print.ABSTRACTYPEL5 is a member of the YPEL gene family that is evolutionarily conserved in the eukaryotic species. To date, the physiological function of YPEL5 has not been yet assessed due to a paucity of genetic animal models. Here, using CRISPR/Cas9-mediated genome editing, we generated a stable ypel5-/- mutant zebrafish line. Disruption of ypel5 expression leads to liver enlargement associated with hepatic cell proliferation. Meanwhile, hepatic metabolism and function are also dysregulated in ypel5-/- mutant as revealed by metabolomic and transcriptomic analysis. Mechanistically, Hnf4a is identified as a crucial downstream mediator and positively regulated by Ypel5. Hnf4a overexpression could largely rescue ypel5 deficiency-induced hepatic defects. Further, PPARα signaling mediates the regulation of Hnf4a by Ypel5 through directly binding to the transcriptional enhancer of Hnf4a gene. Herein, this work demonstrates an essential role for Ypel5 in hepatocyte proliferation and function, and provides the first in vivo evidence for a physiological role of the ypel5 gene in vertebrate.PMID:36948605 | DOI:10.1093/jmcb/mjad019

J Affect Disord. 2023 Mar 20:S0165-0327(23)00408-1. doi: 10.1016/j.jad.2023.03.061. Online ahead of print.ABSTRACTBACKGROUND: Existing research has suggested that depression results in disorders of glucose metabolism in the organism which causing insufficient energy supply. However, the overall changes in glucose metabolism that arise from depression have not been clarified.METHODS: In this study, the depression-like behavior in chronically unpredictable mild stressed rats was investigated, and the fate of glucose was tracked through isotope tracing and mass spectrometry, with a focus on metabolite changes in cecal contents.RESULTS: As indicated by the results, the isotopic results of cecal contents can indicate the metabolic end of the organism. Moreover, the TCA cycle activity was notably reduced, and the gluconeogenesis pathway was abnormally up-regulated in the CUMS-induced rats. The organism expedited other glucose metabolism pathways to make up for the insufficiency of energy. As a result, the activity of the inefficient glycolysis pathway was increased.LIMITATIONS: Existing research has only investigated the metabolism of 13C-glucose, and lipids and proteins have been rarely explored.CONCLUSIONS: The chronic unpredictable mild stress can inhibit the entry of pyruvate into mitochondria in SD rats, such that the activity of TCA is reduced, and insufficient energy supply is caused. The organism is capable of expediting other glucose metabolism rate pathways to make up for the insufficiency of energy, whereas it still cannot compensate for the loss of energy. As a result, CUMS-induced rats exhibited high-rate and low-efficiency glucose metabolism.PMID:36948469 | DOI:10.1016/j.jad.2023.03.061