PubMed

Int J Biol Macromol. 2023 Jun 29:125601. doi: 10.1016/j.ijbiomac.2023.125601. Online ahead of print.ABSTRACTFlavonoids are important components of many phytopharmaceuticals, however, most studies on flavonoids and isoflavonoids have been conducted on herbaceous plants of the family Leguminosae, such as soybean, and less attention has been paid to woody plants. To fill this gap, we characterized the metabolome and transcriptome of five plant organs of Ormosia henryi Prain (OHP), a woody Leguminosae plant with great pharmaceutical value. Our results indicate that OHP possesses a relatively high content of isoflavonoids as well as significant diversity, with greater diversity of isoflavonoids in the roots. Combined with transcriptome data, the pattern of isoflavonoid accumulation was found to be highly correlated with differential expression genes. Furthermore, the use of trait-WGCNA network analysis identified OhpCHSs as a probable hub enzyme that directs the downstream isoflavonoid synthesis pathway. Transcription factors, such as MYB26, MYB108, WRKY53, RAV1 and ZFP3, were found to be involved in the regulation of isoflavonoid biosynthesis in OHP. Our findings will be beneficial for the biosynthesis and utilization of woody isoflavonoids.PMID:37392916 | DOI:10.1016/j.ijbiomac.2023.125601

Ecotoxicol Environ Saf. 2023 Jun 29;262:115200. doi: 10.1016/j.ecoenv.2023.115200. Online ahead of print.ABSTRACTFine particulate matter (PM2.5) and high-fat diet (HFD) are known to contribute to blood glucose metabolic disorders. However, limited research has investigated the combined impact of PM2.5 and HFD on blood glucose metabolism. This study aimed to explore the joint effects of PM2.5 and HFD on blood glucose metabolism in rats using serum metabolomics and to identify involved metabolites and metabolic pathways. The 32 male Wistar rats were exposed to filtered air (FA) or PM2.5 (real-world inhaled, concentrated PM2.5, 8 times the ambient level, ranging from 131.42 to 773.44 μg/m3) and fed normal diet (ND) or HFD for 8 weeks. The rats were divided into four groups (n = 8/group): ND-FA, ND-PM2.5, HFD-FA and HFD-PM2.5 groups. Blood samples were collected to determine fasting glucose (FBG), plasma insulin and glucose tolerance test and HOMA Insulin Resistance (HOMA-IR) index was calculated. Finally, the serum metabolism of rats was analyzed by ultra-high performance liquid chromatography/mass spectrometry (UHPLC-MS). Then we constructed the partial least squares discriminant analysis (PLS-DA) model to screen the differential metabolites, and performed pathway analysis to screen the main metabolic pathways. Results showed that combined effect of PM2.5 and HFD caused changes in glucose tolerance, increased FBG levels and HOMA-IR in rats and there were interactions between PM2.5 and HFD in FBG and insulin. By metabonomic analysis, the serum differential metabolites pregnenolone and progesterone, which involved in steroid hormone biosynthesis, were two different metabolites in the ND groups. In the HFD groups, the serum differential metabolites were L-tyrosine and phosphorylcholine, which involved in glycerophospholipid metabolism, and phenylalanine, tyrosine, and tryptophan biosynthesis. When PM2.5 and HFD coexist, they may lead to more severe and complex effects on glucose metabolism by affecting lipid metabolism and amino acid metabolism. Therefore, reducing PM2.5 exposure and controlling dietary structure are important measures for preventing and reducing glucose metabolism disorders.PMID:37392662 | DOI:10.1016/j.ecoenv.2023.115200

J Hazard Mater. 2023 Jun 29;458:131949. doi: 10.1016/j.jhazmat.2023.131949. Online ahead of print.ABSTRACTThe production of plastic is still increasing globally, which has led to an increasing number of plastic particles in the environment. Nanoplastics (NPs) can penetrate the blood-brain barrier and induce neurotoxicity, but in-depth mechanism and effective protection strategies are lacking. Here, C57BL/6 J mice were treated with 60 μg polystyrene NPs (PS-NPs, 80 nm) by intragastric administration for 42 days to establish NPs exposure model. We found that 80 nm PS-NPs could reach and cause neuronal damage in the hippocampus, and alter the expression of neuroplasticity-related molecules (5-HT, AChE, GABA, BDNF and CREB), and even affect the learning and memory ability of mice. Mechanistically, combined with the results of hippocampus transcriptome, gut microbiota 16 s ribosomal RNA and plasma metabolomics, we found that the gut-brain axis mediated circadian rhythm related pathways were involved in the neurotoxicity of NPs, especially Camk2g, Adcyap1 and Per1 may be the key genes. Both melatonin and probiotic can significantly reduce intestinal injury and restore the expression of circadian rhythm-related genes and neuroplasticity molecules, and the intervention effect of melatonin is more effective. Collectively, the results strongly suggest the gut-brain axis mediated hippocampal circadian rhythm changes involved in the neurotoxicity of PS-NPs. Melatonin or probiotics supplementation may have the application value in the prevention of neurotoxicity of PS-NPs.PMID:37392641 | DOI:10.1016/j.jhazmat.2023.131949

J Chromatogr A. 2023 Jun 22;1705:464173. doi: 10.1016/j.chroma.2023.464173. Online ahead of print.ABSTRACTDespite the progress in the quantification of xenobiotics, the development and validation of methods designed for endogenous substances still remain challenging due to the natural presence of the analytes in a biological matrix, leading to the inability to obtain a blank sample. Several generally recognized procedures are described to solve this issue, like using surrogate or analyte-depleted matrices or surrogate analytes. However, the workflows used do not always meet the requirements for developing a reliable analytical method or are cost-intensive. This study aimed to design an alternative approach for preparing validation reference samples using authentic analytical standards while preserving the nature of the biological matrix and solving the problem with the inherent presence of analyzed compounds in a studied matrix. The methodology used is based on the standard-addition type procedure. However, unlike the original method, the addition is modified according to a previously measured basal concentration of monitored substances in the pooled biological sample to obtain a predefined concentration in reference samples according to the European Medicines Agency (EMA) validation guideline. The study shows the advantages of described approach on an example of LC-MS/MS analysis of 15 bile acids in human plasma and compares it with other methods commonly used in this field. The method was successfully validated according to the EMA guideline with lower limit of quantification of 5 nmol/L and linearity in the range of 5 - 2000 nmol/L. Finally, the method was used in a metabolomic study on a cohort of pregnant women (n = 28) to confirm intrahepatic cholestasis, the major liver disease observed in pregnancy.PMID:37392639 | DOI:10.1016/j.chroma.2023.464173

J Chromatogr A. 2023 Jun 19;1705:464172. doi: 10.1016/j.chroma.2023.464172. Online ahead of print.ABSTRACTFeature extraction is the most fundamental step when analyzing liquid chromatography-mass spectrometry (LC-MS) datasets. However, traditional methods require optimal parameter selections and re-optimization for different datasets, thus hindering efficient and objective large-scale data analysis. Pure ion chromatogram (PIC) is widely used because it avoids the peak splitting problem of the extracted ion chromatogram (EIC) and regions of interest (ROIs). Here, we developed a deep learning-based pure ion chromatogram method (DeepPIC) to find PICs using a customized U-Net from centroid mode data of LC-MS directly and automatically. A model was trained, validated, and tested on the Arabidopsis thaliana dataset with 200 input-label pairs. DeepPIC was integrated into KPIC2. The combination enables the entire processing pipeline from raw data to discriminant models for metabolomics datasets. The KPIC2 with DeepPIC was compared against other competing methods (XCMS, FeatureFinderMetabo, and peakonly) on the MM48, simulated MM48, and quantitative datasets. These comparisons showed that DeepPIC outperforms XCMS, FeatureFinderMetabo, and peakonly in recall rates and correlation with sample concentrations. Five datasets of different instruments and samples were used to evaluate the quality of PICs and the universal applicability of DeepPIC, and 95.12% of the found PICs could precisely match their manually labeled PICs. Therefore, KPIC2+DeepPIC is an automatic, practical, and off-the-shelf method to extract features from raw data directly, exceeding traditional methods with careful parameter tuning. It is publicly available at https://github.com/yuxuanliao/DeepPIC.PMID:37392637 | DOI:10.1016/j.chroma.2023.464172

Food Chem. 2023 Jun 26;427:136730. doi: 10.1016/j.foodchem.2023.136730. Online ahead of print.ABSTRACTMilk lipids are secreted into the milk collecting ducts as milk fat globule (MFG) where they are exposed to microflora of the udder. We hypothesized that MFG size modulates the metabolic fingerprint of B. subtilis. Accordingly, small and large (2.3 and 7.0 µm, respectively) MFG were isolated from cow milk and used as a substrate for B. subtilis. Small MFG enhanced growth, whereas large MFG enhanced biofilm formation. Bacteria incubated with small MFG had increased concentration of metabolites related to energy production whereas metabolome of the bacteria incubated with large MFG had reduced concentrations of metabolites important for biofilm formation. Postbiotics from bacteria grown on large MFG exacerbated the proinflammatory response of MEC to LPS, and changed the expression of key enzymes involved in lipid and protein synthesis. Our results suggest that MFG size modulate growth trajectories and metabolome of B. subtilis, and consequently the stress response of host cells.PMID:37392632 | DOI:10.1016/j.foodchem.2023.136730

Redox Biol. 2023 Jun 24;64:102797. doi: 10.1016/j.redox.2023.102797. Online ahead of print.ABSTRACTMitochondria are highly dynamic organelles essential for cell metabolism, growth, and function. It is becoming increasingly clear that endothelial cell dysfunction significantly contributes to the pathogenesis and vascular remodeling of various lung diseases, including pulmonary arterial hypertension (PAH), and that mitochondria are at the center of this dysfunction. The more we uncover the role mitochondria play in pulmonary vascular disease, the more apparent it becomes that multiple pathways are involved. To achieve effective treatments, we must understand how these pathways are dysregulated to be able to intervene therapeutically. We know that nitric oxide signaling, glucose metabolism, fatty acid oxidation, and the TCA cycle are abnormal in PAH, along with alterations in the mitochondrial membrane potential, proliferation, and apoptosis. However, these pathways are incompletely characterized in PAH, especially in endothelial cells, highlighting the urgent need for further research. This review summarizes what is currently known about how mitochondrial metabolism facilitates a metabolic shift in endothelial cells that induces vascular remodeling during PAH.PMID:37392518 | DOI:10.1016/j.redox.2023.102797

Prog Chem Org Nat Prod. 2023;122:163-219. doi: 10.1007/978-3-031-26768-0_2.ABSTRACTThe widespread utility of herbal products has been rising considerably worldwide, including both developed and developing countries, leading to the rapid growth of their availability in the United States and globally. This substantial increase in consumption of herbal products has witnessed the emergence of adverse effects upon oral administration of certain of these products, and thus has raised safety concerns. The adverse effects caused by the consumption of certain botanical medicines occur primarily as a result of the poor quality of plant raw materials or the finished products, which inherently may affect safety and/or efficacy. The poor quality of some herbal products can be attributed to a lack of proper quality assurance and quality control. A high demand for herbal products that surpasses production, combined with a desire for maximizing profits, along with a lack of rigorous quality control within some manufacturing facilities have led to the emergence of quality inconsistencies. The underlying causes for this involve the misidentification of plant species, or their substitution, adulteration, or contamination with harmful ingredients. Analytical assessments have revealed there to be frequent and significant compositional variations between marketed herbal products. The inconsistency of the quality of herbal products can be ascribed essentially to the inconsistency of the botanical raw material quality used to manufacture the products. Thus, the quality assurance and the quality control of the botanical raw materials is may contribute significantly to improving the quality and consistency of the quality of the end products. The current chapter focuses on the chemical evaluation of quality and consistency of herbal products, including botanical dietary supplements. Different techniques, instruments, applications, and methods used in identifying, quantifying, and generating chemical fingerprints and chemical profiles of the ingredients of the herbal products will be described. The strengths and weaknesses of the various techniques available will be addressed. Limitations of the other approaches including morphological or microscopic analysis and DNA-based analysis will be presented.PMID:37392312 | DOI:10.1007/978-3-031-26768-0_2

Funct Integr Genomics. 2023 Jul 1;23(3):217. doi: 10.1007/s10142-023-01141-w.ABSTRACTInsect pests pose a major threat to agricultural production, resulting in significant economic losses for countries. A high infestation of insects in any given area can severely reduce crop yield and quality. This review examines the existing resources for managing insect pests and highlights alternative eco-friendly techniques to enhance insect pest resistance in legumes. Recently, the application of plant secondary metabolites has gained popularity in controlling insect attacks. Plant secondary metabolites encompass a wide range of compounds such as alkaloids, flavonoids, and terpenoids, which are often synthesized through intricate biosynthetic pathways. Classical methods of metabolic engineering involve manipulating key enzymes and regulatory genes to enhance or redirect the production of secondary metabolites in plants. Additionally, the role of genetic approaches, such as quantitative trait loci mapping, genome-wide association (GWAS) mapping, and metabolome-based GWAS in insect pest management is discussed, also, the role of precision breeding, such as genome editing technologies and RNA interference for identifying pest resistance and manipulating the genome to develop insect-resistant cultivars are explored, highlighting the positive contribution of plant secondary metabolites engineering-based resistance against insect pests. It is suggested that by understanding the genes responsible for beneficial metabolite compositions, future research might hold immense potential to shed more light on the molecular regulation of secondary metabolite biosynthesis, leading to advancements in insect-resistant traits in crop plants. In the future, the utilization of metabolic engineering and biotechnological methods may serve as an alternative means of producing biologically active, economically valuable, and medically significant compounds found in plant secondary metabolites, thereby addressing the challenge of limited availability.PMID:37392308 | DOI:10.1007/s10142-023-01141-w

Mol Biol Rep. 2023 Jul 1. doi: 10.1007/s11033-023-08613-z. Online ahead of print.ABSTRACTBACKGROUND: Gardenia jasminoides Ellis is a perennial evergreen shrub of G. jasminoides of Rubiaceae. Geniposide and Crocin are important components in the fruit of G. jasminoides. In addition to being used as medicinal materials, they are also widely used in food, medicine, cosmetics, and other fields. They have high medicinal value, economic value, and ornamental value. However, at present, the utilization rate of G. jasminoides resources is low, mainly focused on germplasm cultivation, primary processing, and clinical pharmacology, and there are few studies on the quality of Gardenia fruit.METHODS AND RESULTS: Based on transcriptome sequencing and metabolic group analysis, the morphological and structural changes of Gardenia fruit with young fruit, middle fruit, and ripe fruit were analyzed, and the formation mechanism and content changes of Geniposide and Crocin in Gardenia fruit were studied. The content of Geniposide decreased with the development of fruit, so did the expression of the main structural gene GES, G10H, and IS in its synthesis pathway, while the content of Crocin increased with the development of fruit, and the expression of the main structural gene CCD, ALDH, and UGT in its synthesis pathway also increased. The relationship between the morphological structure of G. jasminoides and the accumulation of Geniposide and Crocin was summarized.CONCLUSIONS: This study not only provides a theoretical basis for the mining and utilization of Geniposide and Crocin, but also provides a theoretical basis for genetic background for the identification and cloning of bioactive substances in gardenia fruit in future. At the same time, it provides support for increasing the dual-use value of G. jasminoides and breeding excellent germplasm resources.PMID:37392282 | DOI:10.1007/s11033-023-08613-z

Bioprocess Biosyst Eng. 2023 Jul 1. doi: 10.1007/s00449-023-02898-x. Online ahead of print.ABSTRACTIn this study, the cellular metabolic mechanisms regarding ammonium sulfate supplementation on erythromycin production were investigated by employing targeted metabolomics and metabolic flux analysis. The results suggested that the addition of ammonium sulfate stimulates erythromycin biosynthesis. Targeted metabolomics analysis uncovered that the addition of ammonium sulfate during the late stage of fermentation resulted in an augmented intracellular amino acid metabolism pool, guaranteeing an ample supply of precursors for organic acids and coenzyme A-related compounds. Therefore, adequate precursors facilitated cellular maintenance and erythromycin biosynthesis. Subsequently, an optimal supplementation rate of 0.02 g/L/h was determined. The results exhibited that erythromycin titer (1311.1 μg/mL) and specific production rate (0.008 mmol/gDCW/h) were 101.3% and 41.0% higher than those of the process without ammonium sulfate supplementation, respectively. Moreover, the erythromycin A component proportion increased from 83.2% to 99.5%. Metabolic flux analysis revealed increased metabolic fluxes with the supplementation of three ammonium sulfate rates.PMID:37392219 | DOI:10.1007/s00449-023-02898-x

J Exp Bot. 2023 Jul 1:erad250. doi: 10.1093/jxb/erad250. Online ahead of print.ABSTRACTCarbon concentrating mechanisms enhance the carboxylase efficiency of the central photosynthetic enzyme rubisco by providing supra-atmospheric concentrations of CO2 in its surrounding. In the C4 photosynthesis pathway, this feat is realised by combinatory changes to leaf biochemistry and anatomy. In contrast to the C4 pathway, carbon concentration can also be achieved by the photorespiratory glycine shuttle which requires fewer and less complex modifications. Plants displaying CO2 compensation points between 10 to 40 ppm are often considered to utilize such a photorespiratory shuttle and are termed 'C3-C4 intermediates'. In the present study, we perform a physiological, biochemical and anatomical survey of a large number of Brassicaceae species to better understand the C3-C4 intermediate phenotype, including its basic components and its plasticity. Our phylogenetic analysis suggested that C3-C4 metabolism evolved up to five times independently in the Brassicaceae. The efficiency of the pathway showed considerable variation between tested plant species. Centripetal accumulation of organelles in the bundle sheath was consistently observed in all C3-C4 classified taxa indicating a crucial role of anatomical features for CO2 concentrating pathways. Leaf metabolite patterns were strongly influenced by the individual species, but accumulation of photorespiratory shuttle metabolites glycine and serine was generally observed. Analysis of PEPC activities and metabolite composition suggests that C4-like shuttles have not evolved in the investigated Brassicaceae. Convergent evolution of the photorespiratory shuttle indicates that it represents a distinct and fit photosynthesis type.PMID:37392176 | DOI:10.1093/jxb/erad250

J Vet Intern Med. 2023 Jul 1. doi: 10.1111/jvim.16796. Online ahead of print.ABSTRACTBACKGROUND: Previous studies in dogs with degenerative mitral valve disease (DMVD) have identified altered myocardial energy metabolism and oxidation, which might contribute to cardiac hypertrophy. Diets rich in medium chain fatty acids and antioxidants are a potential means of treatment. A previous clinical study found significantly smaller left atrial diameter (LAD) and left atrium-to-aorta diameter ratio (LA : Ao) in dogs with subclinical DMVD fed a specially formulated diet vs control diet for 6 months.HYPOTHESIS/OBJECTIVES: A specially formulated diet will slow or arrest left heart enlargement in dogs with subclinical DMVD over 365 days.ANIMALS: One hundred twenty-seven dogs with unmedicated subclinical DMVD; 101 dogs in the per protocol cohort.METHODS: Randomized double-blinded controlled multicenter clinical trial.RESULTS: The study's primary composite outcome measure was the sum of percentage change in LAD and left ventricular internal dimension at end-diastole (LVIDd) at day 365. In the per protocol cohort, the outcome measure increased by 8.0% (95% confidence interval [CI], 2.9%-13.1%) in dogs receiving the test diet vs 8.8% (95% CI, 5.1%-12.5%) in dogs receiving control diet (P = .79). Neither component of the primary outcome measure was significantly different between groups (LAD, P = .65; LVIDd, P = .92). No difference was found in mitral valve E wave velocity (P = .36) or the proportion of dogs withdrawn from the study because of worsening DMVD and heart enlargement (P = .41).CONCLUSIONS AND CLINICAL IMPORTANCE: Feeding a specially formulated diet for 365 days was not associated with a significantly different rate of change of left heart size in dogs with subclinical DMVD as compared to control.PMID:37392086 | DOI:10.1111/jvim.16796

J Appl Physiol (1985). 2023 Jun 30. doi: 10.1152/japplphysiol.00024.2023. Online ahead of print.ABSTRACTUnderstanding changes to gut microbiota composition and metabolic output in response to acute exercise may be necessary for understanding the mechanisms mediating the long-term health and performance benefits of exercise. Our primary objective was to characterize acute changes in the fecal microbiome and metabolome following participation in an ultra-endurance (3.9km swim, 180.2km bike, 42.2km run) triathlon. An exploratory aim was to determine associations between athlete-specific factors (race performance [i.e., completion time] and lifetime years of endurance training) with pre-race gut microbiota and metabolite profiles. Stool samples from 12 triathletes (9M/3F; 43±14 yrs, 23±2 kg/m2) were collected ≤48 hours before and the first bowel movement following race completion. Intra- and inter-individual diversity of bacterial species and individual bacterial taxa were unaltered following race completion (P>0.05). However, significant reductions (P<0.05) in free and secondary bile acids (DCA, 12-ketoLCA) and short-chain fatty acids (butyric and pivalic acids), and significant increases (P<0.05) in long-chain fatty acids (oleic and palmitoleic acids) were observed. Exploratory analyses revealed several associations between pre-race bacterial taxa and fecal metabolites with race performance and lifetime history of endurance training (P<0.05). These findings suggest that 1) acute ultra-endurance exercise shifts microbial metabolism independent of changes to community composition and 2) athlete performance level and training history relate to resting-state gut microbial ecology.PMID:37391884 | DOI:10.1152/japplphysiol.00024.2023

Biomark Res. 2023 Jun 30;11(1):66. doi: 10.1186/s40364-023-00507-3.ABSTRACTCancer exerts a multitude of effects on metabolism, including the reprogramming of cellular metabolic pathways and alterations in metabolites that facilitate inappropriate proliferation of cancer cells and adaptation to the tumor microenvironment. There is a growing body of evidence suggesting that aberrant metabolites play pivotal roles in tumorigenesis and metastasis, and have the potential to serve as biomarkers for personalized cancer therapy. Importantly, high-throughput metabolomics detection techniques and machine learning approaches offer tremendous potential for clinical oncology by enabling the identification of cancer-specific metabolites. Emerging research indicates that circulating metabolites have great promise as noninvasive biomarkers for cancer detection. Therefore, this review summarizes reported abnormal cancer-related metabolites in the last decade and highlights the application of metabolomics in liquid biopsy, including detection specimens, technologies, methods, and challenges. The review provides insights into cancer metabolites as a promising tool for clinical applications.PMID:37391812 | DOI:10.1186/s40364-023-00507-3

Chemosphere. 2023 Jun 28:139375. doi: 10.1016/j.chemosphere.2023.139375. Online ahead of print.ABSTRACTThe presence of pharmaceutical active products (PhACs) in the aquatic environment is a matter of current concern, and there is an increasing trend to include these compounds in water quality monitoring programs and environmental risk assessments. Several studies have reported the presence of PhACs in environmental waters worldwide, but only a few studies have focused on Latin American countries. Thus, available information on the occurrence of parent pharmaceuticals, especially their metabolites, is very scarce. Peru is one of the less monitored countries in terms of contaminants of emerging concern (CECs) in waters, and only one study has been found, which was focused on the quantification of selected PhACs in urban wastewater and surface water. The aim of this work is to complement the previous data reported on PhACs in the aquatic environment by application of a wide-scope high-resolution (HRMS)-based screening, making use of target and suspect approaches. In the present work, 30 pharmaceuticals, drugs or other compounds (sweeteners, UV filters, etc.) and 21 metabolites have been identified, with antibiotics (and metabolites) being the most prevalent compounds. The use of liquid chromatography (LC) coupled to ion mobility-HRMS allowed the tentative identification of parent compounds and metabolites, for which the analytical reference standard was not available, with a high level of confidence in their identification. Based on the results obtained, a strategy for the monitoring of PhACs and relevant metabolites in environmental waters from Peru and for subsequent risk assessment is proposed. Our data will also help to focus future studies to evaluate the removal efficiency of wastewater treatment plants and the impact of treated water in receiving water bodies.PMID:37391080 | DOI:10.1016/j.chemosphere.2023.139375

J Hazard Mater. 2023 Jun 22;458:131910. doi: 10.1016/j.jhazmat.2023.131910. Online ahead of print.ABSTRACTHazardous chemicals, such as perfluoroalkyl substances (PFASs) and antibiotics, coexist in aquatic environments and pose a severe threat to aquatic organisms. However, research into the toxicity of these pollutants on submerged macrophytes and their periphyton is still limited. To assess their combined toxicity, Vallisneria natans (V. natans) was exposed to perfluorooctanoic acid (PFOA) and sulfadiazine (SD) at environmental concentrations. Photosynthetic parameters such as chlorophyll a, chlorophyll b, total chlorophyll, and carotenoids were lower in the SD exposure group, indicating that SD had a significant effect on the photosynthesis of aquatic plants. Single and combined exposures effectively induced antioxidant responses, with increases in superoxide dismutase, peroxidase activities, and ribulose-1,5-bisphosphate carboxylase concentrations, as well as malondialdehyde content. Accordingly, antagonistic toxicity was assessed between PFOA and SD. Furthermore, metabolomics revealed that V. natans improved stress tolerance through changes in enoic acid, palmitic acid, and palmitoleoyloxymyristic acid related to the fatty acid metabolism pathway responding to the coexisting pollutants. Additionally, PFOA and SD in combination induced more effects on the microbial community of biofilm. The alternation of α- and β-D-glucopyranose polysaccharides and the increased content of autoinducer peptides and N-acylated homoserine lactones indicated that PFOA and SD changed the structure and function of biofilm. These investigations provide a broader perspective and comprehensive analysis of the responses of aquatic plants and periphyton biofilms to PFAS and antibiotics in the environment.PMID:37390681 | DOI:10.1016/j.jhazmat.2023.131910

J Pharm Biomed Anal. 2023 Jun 16;234:115535. doi: 10.1016/j.jpba.2023.115535. Online ahead of print.ABSTRACTBACKGROUND: Cholestasis is a commonly occurring disorder induced by impaired bile flow, for which there is no effective treatment so far. Qingre Lidan decoction (QRLD) is a clinically used herbal compound for the long-term treatment of bile circulation disorders arising from inflammation and obstruction in the gallbladder and bile ducts. The objective of this study was to investigate the protective effect of QRLD on cholestatic liver injury and its possible mechanism.METHODS: α-Naphthyl isothiocyanate (ANIT) was used to induce cholestatic liver injury in rats. Liver histopathology and serum biochemical markers were used to assess QRLD's protective impact. The possible biomarkers and mechanism of the therapeutic benefits of QRLD were investigated using a UHPLC-based Q-Exactive Orbitrap MS / MS untargeted serum metabolomics technique together with 16 S rRNA microbiota profiling. Afterwards, using RT-qPCR as well as Western Blot techniques, the expression of pertinent indicators was determined.RESULTS: The intervention effect of QRLD was stronger at medium and high dosages than at low doses, and it dramatically decreased the levels of serum biochemical markers in cholestatic rats reflecting alterations in liver function and relieving ANIT-induced abnormalities in the liver's histopathology. Serum metabolomics showed that QRLD could affect the metabolic profile of cholestatic rats, mainly related to glycerophospholipid metabolism, taurine and hypotaurine metabolism, alanine, aspartate and glutamate metabolism, and histidine metabolic pathway. Additionally, analysis of 16 S rRNA gene sequencing indicated that QRLD could moderate ANIT-induced microbiota disorders, particularly Romboutsia, Bifidobacterium, Fusicatenibacter, Prevotella_9, Prevotellaceae_NK3B31_group and Prevotella_1. Other experimental results showed that QRLD significantly upregulated the mRNA and protein expression of PPARα, CYP7A1 and NTCP in the liver, inhibited the expression of p-IκBα, p-p65 and TNFα while increasing the anti-inflammatory factor IL-10, and downregulated the expression of MDA (a peroxidation product) and D-lactic acid (an intestinal barrier indicator) while increasing the expression of SOD and GSH.CONCLUSIONS: QRLD can effectively regulate endogenous metabolites and microbiota disorders in cholestatic rats that are correlated with the attenuation of inflammation and oxidative stress.PMID:37390604 | DOI:10.1016/j.jpba.2023.115535

J Pharm Biomed Anal. 2023 Jun 26;234:115549. doi: 10.1016/j.jpba.2023.115549. Online ahead of print.ABSTRACTQizhiweitong particles (QZWT), a classic Chinese herbal prescription derived from the Sinisan decoction in Shang Han Za Bing Lun, has definitive clinical efficacy in treating Chronic Non-atrophic Gastritis (CNG) in China. However, its mechanism of action at the metabolic level remains unclear. The aim of this study was to explore the mechanisms of QZWT against CNG based on non-targeted metabolomics combined with network pharmacology and experimentally validated by enzyme linked immunosorbent assays (ELISA). First, CNG model rats were established by free drinking ammonia water combined with starvation and satiety disorder for 12 weeks. Taking gastric tissue as the object, ultra-high performance liquid chromatography tandem mass spectrometry based metabolomics and network pharmacology were conducted to identify the key compounds, core targets and pathways that mediate the effects of QZWT against CNG. Furthermore, the targets from network pharmacology and the metabolites from metabolomics were jointly analyzed to select crucial metabolism pathways by MetaScape. Finally, the key metabolic enzymes and metabolites were experimentally validated by ELISA. The results indicated that there were 29 differential metabolites were identified and considered to be metabolic biomarkers of QZWT in the treatment of CNG. Among them, 8 of the differential metabolites showed a significant reduction in the content of QZWT groups. Arachidonic acid (AA) metabolic and glycerophospholipid (GP) metabolic are the most crucial metabolic pathways for QZWT to treat CNG. QZWT regulated AA and GP metabolism by synergetic reducing the level of AA, Phospholipid acid and Lysophosphatidic acid and inhibiting the enzyme activity of prostaglandin endoperoxide synthase 1 and prostaglandin endoperoxide synthase 2. And a compound-reaction-enzyme-gene network of mechanism for QZWT against CNG was established. In conclusion, this study reveals the complicated mechanisms of QZWT against CNG. Our work presents a novel strategy to identify the potential mechanisms of pharmacological effects derived from a compound prescription of TCM.PMID:37390603 | DOI:10.1016/j.jpba.2023.115549

BMC Genomics. 2023 Jul 1;24(1):367. doi: 10.1186/s12864-023-09452-9.ABSTRACTBACKGROUND: Intramuscular fat (IMF) is closely related to the tenderness, marbling, juiciness, and flavor of meat. We used a combined transcriptome and metabolome analysis to investigate the molecular mechanisms underlying phenotypic variation among Qinchuan cattle.RESULTS: The IMF content was relatively high in the meat of Qinchuan cattle bulls and differed among muscle locations, namely the high rib (15.86%), ribeye (14%), striploin (10.44%), and tenderloin (8.67%). CCDC80 and the HOX gene cluster may regulate intramuscular adipose tissue deposition. Moreover, erucic acid (EA) was found to be the main metabolite in Qinchuan beef cattle, with a high concentration in IMF. The deposition of IMF could be regulated by the metabolic pathway for unsaturated fatty acids involving EA and the ACOX3, HACD2, and SCD5 genes. In addition, differentially expressed genes and metabolites were enriched in three major KEGG pathways: purine metabolism, pyrimidine metabolism, and the metabolism of glycine, serine, and threonine.CONCLUSIONS: We identified a significant metabolite, EA, with variation in IMF. Its closely related genes, ACOX3, HACD2, and SCD5, co-regulate the metabolism of unsaturated fatty acids, ultimately affecting the accumulation of intramuscular adipose tissue in Qinchuan cattle. Consequently, Qinchuan cattle are an elite cultivar for high-quality beef production and have great potential for breeding.PMID:37391702 | DOI:10.1186/s12864-023-09452-9