PubMed
<em>Candida tropicalis</em>-derived vitamin B3 exerts protective effects against intestinal inflammation by promoting IL-17A/IL-22-dependent epithelial barrier function
Gut Microbes. 2024 Jan-Dec;16(1):2416922. doi: 10.1080/19490976.2024.2416922. Epub 2024 Oct 27.ABSTRACTCandida tropicalis-a prevalent gut commensal fungus in healthy individuals - contributes to intestinal health and disease. However, how commensal C. tropicalis influences intestinal homeostasis and barrier function is poorly understood. Here, we demonstrated that the reference strain of C. tropicalis (MYA-3404) ameliorated intestinal inflammation in murine models of chemically induced colitis and bacterial infection. Intestinal colonization of C. tropicalis robustly upregulated the expression of IL-17A and IL-22 to increase barrier function and promote proliferation of intestinal epithelial cells in the mouse colon. Metabolomics analysis of fecal samples from mice colonized with C. tropicalis revealed alterations in vitamin B3 metabolism, promoting conversion of nicotinamide to nicotinic acid. Although nicotinamide worsened colitis, treatment with nicotinic acid alleviated disease symptoms and enhanced epithelial proliferation and Th17 cell differentiation. Oral gavage of C. tropicalis mitigated nicotinamide-induced intestinal dysfunction in experimental colitis. Blockade of nicotinic acid production with nicotinamidase inhibitors lowered the protective effects against colitis in mice treated with C. tropicalis. Notably, a clinical C. tropicalis strain isolated from patients with candidemia lacked the protective effects against murine colitis observed with the reference strain. Together, our results highlight a novel role for C. tropicalis in resolving intestinal inflammation through the modulation of vitamin B3 metabolism.PMID:39462273 | DOI:10.1080/19490976.2024.2416922
Adaptations in hepatic glucose metabolism after chronic social defeat stress in mice
Sci Rep. 2024 Oct 26;14(1):25511. doi: 10.1038/s41598-024-76310-3.ABSTRACTChronic stress has been shown to induce hyperglycemia in both peripheral blood and the brain, yet the detailed mechanisms of glucose metabolism under stress remain unclear. Utilizing 13C6-labeled glucose to trace metabolic pathways, our study investigated the impact of stress by chronic social defeat (CSD) on glucose metabolites in the liver and brain one week post-stress. We observed a reduction in 13C6-enrichment of glucose metabolites in the liver, contrasting with unchanged levels in the brain. Notably, hepatic glycogen levels were reduced while lactate concentrations were elevated, suggesting lactate as an alternative energy source during stress. Long-term effects were also examined, revealing normalized blood glucose levels and restored glycogen stores in the liver three weeks post-CSD, despite sustained increases in food intake. This normalization is hypothesized to result from diminished glucagon levels leading to reduced glycogen phosphorylase activity. Our findings highlight a temporal shift in glucose metabolism, with hyperglycemia and glycogen depletion in the liver early after CSD, followed by a later phase of metabolic stabilization. These results underscore the liver's critical role in adapting to CSD and provide insights into the metabolic adjustments that maintain glucose homeostasis under prolonged stress conditions.PMID:39462137 | DOI:10.1038/s41598-024-76310-3
Multi-omics analysis uncovers the transcriptional regulatory mechanism of magnesium Ions in the synthesis of active ingredients in Sophora tonkinensis
Sci Rep. 2024 Oct 26;14(1):25527. doi: 10.1038/s41598-024-76575-8.ABSTRACTMagnesium (Mg) plays a pivotal role as an essential component of plant chlorophyll and functions as a critical coenzyme. However, research exploring the regulatory mechanisms of magnesium ions on the synthesis of secondary metabolites is still in its early stages. Sophora tonkinensis is a widely utilized medicinal plant in China, recognized for its diverse secondary metabolites with active properties. This study investigates variations in these ingredients in tissue-cultured seedlings under varying magnesium concentrations. Simultaneously, an omics data analysis was conducted on tissue-cultured seedlings subjected to treatments with magnesium and low magnesium. These comprehensive omics analyses aimed to elucidate the mechanisms through which magnesium influences active components, growth, and development. Magnesium exerts a pervasive influence on various metabolic pathways, forming an intricate network. Research findings indicate that magnesium impacts diverse metabolic processes, including the absorption of potassium and calcium, as well as photosynthetic activity. Consequently, these influences lead to discernible changes in the levels of pharmacologically active compounds and the growth and developmental status.This study is the first to employ a multi-omics data analysis in S. tonkinensis. This methodology allows us to uncover the overarching impact of metabolic networks on the levels of various active ingredients and specific phenotypes.PMID:39462111 | DOI:10.1038/s41598-024-76575-8
Potential of pre-diagnostic metabolomics for colorectal cancer risk assessment or early detection
NPJ Precis Oncol. 2024 Oct 27;8(1):244. doi: 10.1038/s41698-024-00732-5.ABSTRACTThis systematic review investigates the efficacy of metabolite biomarkers for risk assessment or early detection of colorectal cancer (CRC) and its precursors, focusing on pre-diagnostic biospecimens. Searches in PubMed, Web of Science, and SCOPUS through December 2023 identified relevant prospective studies. Relevant data were extracted, and the risk of bias was assessed with the QUADAS-2 tool. Among the 26 studies included, significant heterogeneity existed for case numbers, metabolite identification, and validation approaches. Thirteen studies evaluated individual metabolites, mainly lipids, while eleven studies derived metabolite panels, and two studies did both. Nine panels were internally validated, resulting in an area under the curve (AUC) ranging from 0.69 to 0.95 for CRC precursors and 0.72 to 1.0 for CRC. External validation was limited to one panel (AUC = 0.72). Metabolite panels and lipid-based biomarkers show promise for CRC risk assessment and early detection but require standardization and extensive validation for clinical use.PMID:39462072 | DOI:10.1038/s41698-024-00732-5
Atypical rhizobia trigger nodulation and pathogenesis on the same legume hosts
Nat Commun. 2024 Oct 26;15(1):9246. doi: 10.1038/s41467-024-53388-x.ABSTRACTThe emergence of commensalism and mutualism often derives from ancestral parasitism. However, in the case of rhizobium-legume interactions, bacterial strains displaying both pathogenic and nodulation features on a single host have not been described yet. Here, we isolated such a bacterium from Medicago nodules. On the same plant genotypes, the T4 strain can induce ineffective nodules in a highly competitive way and behave as a harsh parasite triggering plant death. The T4 strain presents this dual ability on multiple legume species of the Inverted Repeat-Lacking Clade, the output of the interaction relying on the developmental stage of the plant. Genomic and phenotypic clustering analysis show that T4 belongs to the nonsymbiotic Ensifer adhaerens group and clusters together with T173, another strain harboring this dual ability. In this work, we identify a bacterial clade that includes rhizobial strains displaying both pathogenic and nodulating abilities on a single legume host.PMID:39461961 | DOI:10.1038/s41467-024-53388-x
TNF inhibitors target a mevalonate metabolite/TRPM2/calcium signaling axis in neutrophils to dampen vasculitis in Behçet's disease
Nat Commun. 2024 Oct 26;15(1):9261. doi: 10.1038/s41467-024-53528-3.ABSTRACTTNF inhibitors have been used to treat autoimmune and autoinflammatory diseases. Here we report an unexpected mechanism underlying the therapeutic effects of TNF inhibitors in Behçet's disease (BD), an autoimmune inflammatory disorder. Using serum metabolomics and peripheral immunocyte transcriptomics, we find that polymorphonuclear neutrophil (PMN) from patients with BD (BD-PMN) has dysregulated mevalonate pathway and subsequently increased farnesyl pyrophosphate (FPP) levels. Mechanistically, FPP induces TRPM2-calcium signaling for neutrophil extracellular trap (NET) and proinflammatory cytokine productions, leading to vascular endothelial inflammation and damage. TNF, but not IL-1β, IL-6, IL-18, or IFN-γ, upregulates TRPM2 expression on BD-PMN, while TNF inhibitors have opposite effects. Results from mice with PMN-specific FPP synthetase or TRPM2 deficiency show reduced experimental vasculitis. Meanwhile, analyses of public datasets correlate increased TRPM2 expressions with the clinical benefits of TNF inhibitors. Our results thus implicate FPP-TRPM2-TNF/NETs feedback loops for inflammation aggravation, and novel insights for TNF inhibitor therapies on BD.PMID:39461948 | DOI:10.1038/s41467-024-53528-3
Preparation and characterization of moringin-loaded chitosan-coated liposomes and their antibacterial activity against Staphylococcus aureus
Int J Biol Macromol. 2024 Oct 24:136815. doi: 10.1016/j.ijbiomac.2024.136815. Online ahead of print.ABSTRACTThis study aimed to improve the stability of moringin and clarify the inhibitory mechanisms of moringin-loaded chitosan-coated liposomes (MR-CS-LPs) against Staphylococcus aureus. Optimisation of MR-CS-LPs was conducted using the response surface methodology, and extensive characterization was performed. The anti-bacterial activity of MR-CS-LPs was assessed by determining the minimum inhibitory concentration (MIC) and conducting growth curve analyses. The effects of MR-CS-LPs on S. aureus cell wall and membrane integrity were investigated using techniques such as scanning electron microscopy and physical and chemical analyses. Apoptotic effects were evaluated by examining oxidative stress parameters, and the impact on S. aureus biofilm formation was explored. An LC-MS/MS analysis provided insights into the inhibitory mechanism of MR-CS-LPs against S. aureus. The results indicated that MR-CS-LPs achieved an encapsulation rate of 69.02 %. Furthermore, they demonstrated potent anti-bacterial activity against S. aureus, with an MIC of 0.125 mg/mL. MR-CS-LPs disrupted cell wall and membrane integrity, resulting in macromolecule leakage, induced oxidative stress-mediated apoptosis and effectively suppressed biofilm formation, ultimately leading to bacterial death. Metabolomics analysis revealed that MR-CS-LPs inhibit S. aureus by regulating pyruvate pathways. These findings affirm that MR-CS-LPs possess significant anti-microbial properties, underscoring their potential as effective anti-microbial agents against S. aureus.PMID:39461651 | DOI:10.1016/j.ijbiomac.2024.136815
Retinol metabolism signaling participates in microbiota-regulated fat deposition in obese mice
J Nutr Biochem. 2024 Oct 24:109787. doi: 10.1016/j.jnutbio.2024.109787. Online ahead of print.ABSTRACTObesity is a global pandemic threatening public health, excess fat accumulation and overweight are its characteristics. In this study, the interplay between gut microbiota and retinol metabolism in modulating fat accumulation was verified. We observed gut microbiota depletion reduced the body weight (P<0.05) and the ratios of white adipose tissues (WATs) to body weight (P<0.05) in high-fat diet (HFD) fed-mice. Both the hepatic metabolomics and transcriptomics analyses confirmed that gut microbiota modulated fat accumulation in obese mice. Besides, the kyoto encyclopedia of genes and genomes (KEGG) analysis and protein-protein interaction (PPI) network of RNA-seq results indicated that retinol metabolism signaling may be involved in the microbiota-regulated fat deposition. Furthermore, activated retinol metabolism signaling by all-trans retinoic acid (atRA) supplementation reduced body weight (P<0.05) and WAT accumulation in obese mice. On the other hand, 16S rRNA gene sequencing of the ileal microbiota suggested that atRA supplementation, in turn, increased the microbial diversity and induced the growth of beneficial bacteria including Parabacteroides, Bacteroides, Clostridium_XVIII, Bifidobacterium, Enterococcus, Bacillus, Leuconostoc, and Lactobacillus in obese mice. Spearman correlation showed that atRA decreased the bacteria (Parvibacter, Asaccharobacter, Romboutsia, and Clostridium_IV) that were positively associated with body and WAT weights, whereas increased the bacteria (Lactobacillus) that were negatively associated with body and WAT weights. Together, this study reveals the interaction between the gut microbiota and retinol metabolism signaling in regulating adipose accumulation and obesity. It is expected of this finding to provide new insights to prevent and develop therapeutic measures of obesity-related metabolic syndrome.PMID:39461600 | DOI:10.1016/j.jnutbio.2024.109787
Integrating lipidomics and metabolomics to reveal biomarkers of fat deposition in chicken meat
Food Chem. 2024 Oct 22;464(Pt 2):141732. doi: 10.1016/j.foodchem.2024.141732. Online ahead of print.ABSTRACTLocal chicken breeds in China are highly regarded for their superior meat flavor. This study utilized lipidomics and non-targeted metabolomics to identify biomarkers influencing intramuscular fat (IMF) deposition in the breast muscle of 42- and 180-day-old Jingyuan chickens. Results revealed that IMF content was higher in the breast muscle of 180-day-old Jingyuan chickens compared to 42-day-old chickens (P < 0.01). We identified 248 differentially expressed lipids (DELs) and 1042 differentially expressed metabolites (DEMs). The breast muscle of 180-day-old chickens contained higher levels of TG, fatty acid (FA) and cholesteryl ester (CE), with C16:1 and C18:1 being particularly abundant. Integration of non-targeted metabolomic analyses emphasized glycerolipid metabolism and vitamin digestion and absorption as the main pathways distinguishing between 42- and 180-day-old chickens. Additionally, the differential metabolites LysoPS 18:1, LysoPC 20:3, LysoPC 18:2, LysoPI 20:3, and Pantothenic acid contributed to enhanced meat flavor in Jingyuan chickens.PMID:39461315 | DOI:10.1016/j.foodchem.2024.141732
LC-HRMS-based global metabolomics profiling unravels the distinct metabolic signature of lapatinib-resistant and trastuzumab-resistant HER2+ breast cancer cells
J Pharm Biomed Anal. 2024 Oct 16;253:116528. doi: 10.1016/j.jpba.2024.116528. Online ahead of print.ABSTRACTThe effectiveness of lapatinib (LAP) and trastuzumab (TRZ), the first-line therapies for HER2+ breast cancer, has been limited owing to the development of acquired resistance in patients with HER2+. This study aimed to investigate the alterations in metabolic signatures in LAP-resistant HCC1954 and TRZ-resistant HCC1954 and pathways in human HER2+ breast cancer cells using liquid chromatography-high-resolution mass spectrometry (LC-HRMS) and enrichment analysis. The HCC1954 parental cells were sequentially treated 13 rounds with LAP or TRZ to develop resistant cells and then tested for their cytotoxicity using the MTT assay. Metabolites were prepared from HCC1954 parental (MBXWT), HCC1954-LAP (MBXLAP), and HCC1954-TRZ (MBXTRZ) cells prior to LC-HRMS, chemometric, enrichment, and joint pathway analyses. LAP- and TRZ-resistant cells were successfully developed from HCC1954, and 29 and 17 differentially expressed metabolites (DEMs) were identified between MBXWT-MBXLAP and MBXWT-MBXTRZ, respectively. The analysis of DEMs between MBXWT and MBXLAP revealed significant enrichment in D-amino acid metabolism, while MBXWT and MBXTRZ identified valine, leucine, isoleucine biosynthesis, ascorbate, and aldarate metabolism. Joint pathway enrichment analysis of LAP-resistant DEMs and differentially expressed genes (DEGs) showed enrichment in glutathione metabolism, while that of TRZ-resistance and DEGs showed enrichment in carbohydrate metabolism, namely pentose and glucuronate interconversions, starch and sucrose metabolism, and galactose metabolism. The findings from this study indicate considerable metabolic changes in LAP- and TRZ-resistant HCC1954 cells, which are crucial for understanding the resistance mechanisms and developing strategies to overcome these problems.PMID:39461067 | DOI:10.1016/j.jpba.2024.116528
Integrated metabolomics and network pharmacology to explore the clinical efficacy and mechanism of Yinchenhao decoction combined with nucleoside analogues on chronic hepatitis B
J Pharm Biomed Anal. 2024 Oct 19;253:116513. doi: 10.1016/j.jpba.2024.116513. Online ahead of print.ABSTRACTYinchenhao decoction (YCHD) is widely used in the treatment of damp-heat syndrome of chronic hepatitis B (CHB), but it remains unclear about the active compounds in YCHD and its potential mechanism for treating CHB. The purpose of this work is to evaluate the clinical efficacy of YCHD combined with nucleoside analogues (NAs) for the treatment of CHB. Besides, based on the exact clinical efficacy, we combined serum metabolomics and network pharmacology to screen differential metabolites and related pathways regulated by YCHD to investigate the possible mechanism for treating CHB. It revealed that NAs plus YCHD could significantly improve alanine aminotransferase (ALT) and aspartate aminotransferase (AST) levels, increase HBV-DNA negative rate (P<0.05), reduce the levels of inflammatory factors and LSM (both P<0.05), regulate lipids (P<0.05), and improve the symptoms of traditional Chinese medicine (TCM) (P<0.05) in CHB patients. YCHD was relatively safe. It showed 30 active compounds including chlorogenic acid, geniposide, emodin, quercetin, kaempferol, β-sitosterol and aloe emodin, and 115 key targets which were related to the regulation of lipids and reduction of oxidative stress related to the effect of YCHD in CHB in the network pharmacology analysis. We found 9 core targets and 4 key metabolites according to metabolomics, which were partly consistent with the network pharmacology findings. It proved that network pharmacology combined with metabolomics can well explain the "multi-component-multi-target" mechanism of complex TCM.PMID:39461066 | DOI:10.1016/j.jpba.2024.116513
Integration of metabolomics and transcriptomics to reveal metabolic characteristics and key targets associated with lncRNA Vof-16 in H19-7 cells
Biochem Biophys Res Commun. 2024 Oct 19;736:150855. doi: 10.1016/j.bbrc.2024.150855. Online ahead of print.ABSTRACTCognitive disorders represent one of the most common chronic complications of diabetes. Our previous study has demonstrated that long non-coding RNA (lncRNA) Vof-16 is upregulated in the hippocampal tissue of streptozotocin (STZ)-induced diabetic rats. Despite this finding, the specific roles and underlying mechanisms of lncRNA Vof-16 in diabetes-related cognitive dysfunction remain largely unexplored. To elucidate the mechanism involved, lncRNA Vof-16 was overexpressed in rat hippocampal cell line H19-7 through lentivirus transfection. We integrated metabolomics and transcriptomics approaches to identify potential targets and metabolic pathways influenced by lncRNA Vof-16. Key proteins and pathways were subsequently validated using western blotting and immunofluorescence staining. Transcriptomics indicated that lncRNA Vof-16 overexpression may modulate autophagic activity in H19-7 cells. Metabolomic profiling revealed that the primary differential metabolic pathways included trehalose degradation, tryptophan metabolism, vitamin B6 metabolism, glycolysis, pterine biosynthesis, and the pentose phosphate pathway. Ingenuity Pathway Analysis (IPA) of gene-metabolite networks demonstrated that the high lncRNA Vof-16 expression group exhibited a significantly higher association with autophagy compared to the low lncRNA Vof-16 expression group. Western blot results confirmed that lncRNA Vof-16 overexpression led to decreased protein expression levels of ATG3 and ATG12. Specifically, lncRNA Vof-16 reduces autophagy in hippocampal neurons by targeting the elevated levels of phospho-p70S6K, a downstream effector of mTORC1, potentially contributing to the pathogenesis of diabetic cognitive impairment. The construction of gene-metabolite networks may offer promising new strategies for addressing the growing issue of diabetic cognitive impairment.PMID:39461005 | DOI:10.1016/j.bbrc.2024.150855
Integrated multiomic analyses: An approach to improve understanding of diabetic kidney disease
Diabet Med. 2024 Oct 26:e15447. doi: 10.1111/dme.15447. Online ahead of print.ABSTRACTAIM: Diabetes is increasing in prevalence worldwide, with a 20% rise in prevalence predicted between 2021 and 2030, bringing an increased burden of complications, such as diabetic kidney disease (DKD). DKD is a leading cause of end-stage kidney disease, with significant impacts on patients, families and healthcare providers. DKD often goes undetected until later stages, due to asymptomatic disease, non-standard presentation or progression, and sub-optimal screening tools and/or provision. Deeper insights are needed to improve DKD diagnosis, facilitating the identification of higher-risk patients. Improved tools to stratify patients based on disease prognosis would facilitate the optimisation of resources and the individualisation of care. This review aimed to identify how multiomic approaches provide an opportunity to understand the complex underlying biology of DKD.METHODS: This review explores how multiomic analyses of DKD are improving our understanding of DKD pathology, and aiding in the identification of novel biomarkers to detect disease earlier or predict trajectories.RESULTS: Effective multiomic data integration allows novel interactions to be uncovered and empathises the need for harmonised studies and the incorporation of additional data types, such as co-morbidity, environmental and demographic data to understand DKD complexity. This will facilitate a better understanding of kidney health inequalities, such as social-, ethnicity- and sex-related differences in DKD risk, onset and progression.CONCLUSION: Multiomics provides opportunities to uncover how lifetime exposures become molecularly embodied to impact kidney health. Such insights would advance DKD diagnosis and treatment, inform preventative strategies and reduce the global impact of this disease.PMID:39460977 | DOI:10.1111/dme.15447
Metabolomics of Chinese Hamster Ovary Cells
Methods Mol Biol. 2025;2853:205-234. doi: 10.1007/978-1-0716-4104-0_14.ABSTRACTIncreasing demand of protein biotherapeutics produced using Chinese hamster ovary (CHO) cell lines necessitates improvement in the production yield of the bioprocess. Various cell engineering, improved media formulation and process-design based approaches utilizing the power of OMICS technologies, specifically, genomics and proteomics, have been employed; however, the potential of metabolomics largely remains unexplored. Metabolomics enables the detection, identification, and/or quantitation of small molecules, commonly known as metabolites, in and around the cells and may help to unlock the cellular molecular mechanism(s) that regulates cell growth and productivity in the bioprocess and improves cellular performance during the bioprocess. Currently, liquid chromatography (LC)/gas chromatography (CG)- coupled with mass-spectrometry (MS) and nuclear magnetic resonance (NMR) spectroscopy are the most commonly used approaches for metabolomics. Therefore, in this chapter, we have discussed the standard procedures of investigating CHO metabolites using LC/GC-MS and/or NMR-based approaches.PMID:39460923 | DOI:10.1007/978-1-0716-4104-0_14
Separation and Purification of CHO Secretome and Extracellular Vesicles for Proteome Analysis
Methods Mol Biol. 2025;2853:155-171. doi: 10.1007/978-1-0716-4104-0_11.ABSTRACTFor decades, host cell proteins (HCPs) have been investigated as putative contaminants in downstream processing of biopharmaceutical products of Chinese hamster ovary (CHO) cells. However, little is still known about the composition of the entire protein and vesicle environment in CHO cultivations. Ever evolving mass spectrometry techniques allow more and more insights into cell-cell communication processes and the composition of extracellular matrix, proteases, and further actively segregated compounds such as extracellular vesicles (EVs). EVs themselves are a heterologous group consisting of exosomes, ectosomes, and apoptotic vesicles. To specifically analyze these subsets of the secretome and determine beneficial and detrimental factors for a production process, targeted separation and purification techniques are necessary.In this chapter, we present our optimized workflows for a clear differentiation between directly secreted proteins and the vesicular protein content of different fractions (especially exosomal small EVs) from CHO cell supernatant for proteomic analysis by NanoLC ESI-MS.PMID:39460920 | DOI:10.1007/978-1-0716-4104-0_11
High glucose combined with lipopolysaccharide stimulation inhibits cell proliferation and migration of human HaCaT keratinocytes by impacting redox homeostasis and activating the polyol pathway
Mol Biol Rep. 2024 Oct 26;51(1):1098. doi: 10.1007/s11033-024-10042-5.ABSTRACTBACKGROUND: High glucose level and chronic inflammation are characteristic features of diabetic cutaneous wounds. Keratinocytes make up the epidermis and play an important role in skin repair. However, metabolomic changes of keratinocytes in chronic diabetic ulcers have not been fully studied.METHODS AND RESULTS: This study used high levels of glucose combined with lipopolysaccharide to treat human HaCaT keratinocytes. Untargeted metabolomic combined with colorimetric assays were used to explore the changes of keratinocyte metabolites and related metabolic pathways caused by high glucose and lipopolysaccharide. Results demonstrated that high glucose combined with lipopolysaccharide treatment increased intracellular reactive oxygen species and impaired proliferation and migration of keratinocytes. Untargeted metabolomics analysis identified a total of 273 differential metabolites. Redox metabolism associated metabolites were largely altered. Reduced nicotinamide adenine dinucleotide, gamma-glutamylcysteine, superoxide dismutase activity and SOD2 gene expression were significantly upregulated while nicotinamide adenine dinucleotide, glutathione, glutathione peroxidase, several types of lysophosphatidylcholine, lysophosphatidylinositol, and GPR55 gene expression were downregulated. Alterations of glutathione and nicotinamide adenine dinucleotide were verified by colorimetric assays. For the first time, high glucose and LPS were observed to boost the levels of fructose, aldose reductase and sorbitol dehydrogenase of the polyol pathway in HaCaT cells. Further treatment of HaCaT with fructose leading to inhibition of cell proliferation and migration.CONCLUSIONS: Our data suggest high glucose combined with lipopolysaccharide significantly altered redox homeostasis associated metabolites and activate the polyol pathway in keratinocytes to impact cell proliferation and migration, providing new strategies for the treatment of chronic diabetic ulcers.PMID:39460853 | DOI:10.1007/s11033-024-10042-5
Exploration of the Sclerotinia sclerotiorum-Brassica pathosystem: advances and perspectives in omics studies
Mol Biol Rep. 2024 Oct 26;51(1):1097. doi: 10.1007/s11033-024-10043-4.ABSTRACTThe polyphagous phytopathogen Sclerotinia sclerotiorum causing Stem rot disease is a major biotic stress in Brassica, and affects the yield and quality in various crops of agricultural significance. It affects the crop at pre-maturity which causes a reduction in the seed yield and deteriorates the oil quality in rapeseeds and Indian mustard globally. The hemibiotrophic nature and long persistence in the soil as sclerotia have made this pathogen difficult to manage through conventional agronomical practices. Hence, for alternative strategies, it is important to understand the basic aspects of the pathogen and the pathogenesis processes in the host. The current developments in technologies for omics studies including whole-genomes, transcriptomes, proteomes, and metabolomes have deciphered various genes, transcription factors, effectors and their target molecules involved in interaction, disease establishment and pathogen progress in the host tissues. The current review encompasses the studies that were conducted to decipher the Brassica-S. sclerotiorum pathosystem and the molecular factors identified through multi-omics studies for their application in building resistance to Sclerotinia stem rot disease in the susceptible cultivars of oilseed Brassica.PMID:39460825 | DOI:10.1007/s11033-024-10043-4
Development of a Desorption Electrospray Ionization-Multiple-Reaction-Monitoring Mass Spectrometry (DESI-MRM) Workflow for Spatially Mapping Oxylipins in Pulmonary Tissue
Anal Chem. 2024 Oct 26. doi: 10.1021/acs.analchem.4c02350. Online ahead of print.ABSTRACTOxylipins are a class of low-abundance lipids formed via oxygenation of fatty acids. These compounds include potent signaling molecules (e.g., octadecanoids, eicosanoids) that can exert essential functions in the pathophysiology of inflammatory diseases including asthma. While some oxylipin signaling cascades have been unraveled using LC-MS/MS-based methods, measurements in homogenate samples do not represent the spatial heterogeneity of lipid metabolism. Mass spectrometry imaging (MSI) directly detects analytes from a surface, which enables spatial mapping of oxylipin biosynthesis and migration within the tissue. MSI has lacked the sensitivity to routinely detect low-abundance oxylipins; however, new multiple-reaction-monitoring (MRM)-based MSI technologies show increased sensitivity. In this study, we developed a workflow to apply desorption electrospray ionization coupled to a triple quadrupole mass spectrometer (DESI-MRM) to spatially map oxylipins in pulmonary tissue. The targeted MSI workflow screened guinea pig lung extracts using LC-MS/MS to filter oxylipin targets based on their detectability by DESI-MRM. A panel of 5 oxylipins was then selected for DESI-MRM imaging derived from arachidonic acid (TXB2, 11-HETE, 12-HETE), linoleic acid (12,13-DiHOME), and α-linolenic acid (16-HOTrE). To parse this new data type, a custom-built R package (quantMSImageR) was developed with functionality to label regions of interest as well as quantify and analyze lipid distributions. The spatial distributions quantified by DESI-MRM were supported by LC-MS/MS analysis, with both indicating that 16-HOTrE and 12-HETE were associated with airways, while 12,13-DiHOME and arachidonic acid were mapped to parenchyma. This study realizes the potential of targeted MSI to routinely map low-abundance oxylipins with high specificity at scale.PMID:39460704 | DOI:10.1021/acs.analchem.4c02350
Concomitant gut dysbiosis and defective gut barrier serve as the bridges between hypercortisolism and chronic systemic inflammation in Cushing disease
Eur J Endocrinol. 2024 Oct 26:lvae139. doi: 10.1093/ejendo/lvae139. Online ahead of print.ABSTRACTOBJECTIVE: The aim of this study was to investigate the gut microbial signatures and related pathophysiological implications in patients with Cushing's disease (CD).DESIGN AND METHODS: 27 patients with CD and 45 healthy controls were enrolled. Based on obtained metagenomics data, we performed correlation, network study and genome interaction group (GIG) analysis. Fecal metabolomics and serum ELISA analysis were conducted in dichotomized CD patients. Caco-2 cells were incubated with gradient concentrations of cortisol for subsequent transepithelial electrical resistance (TEER) measurement, FITC-dextran transwell permeability assay, qPCR and western blot analysis.RESULTS: Gut microbial composition in patients with CD was notably different from that in healthy controls. Network analysis revealed that Eubacterium siraeum might serve as the core specie in the gut microbial system of CD patients. Subsequent GIG analysis identified the positive correlations between GIG9 and UFC. Further serum ELISA and fecal metabolomics uncovered that CD patients with elevated UFC levels were characterized with increased lipopolysaccharide binding protein (LBP). Moreover, remarkable positive association was found between LBP level and relative abundance of Eubacterium siraeum. TEER and FITC-Dextran transwell assays demonstrated that hypercortisolism induced increased gut permeability. Further qPCR and western blot analysis suggested that dysregulated AhR/Claudin 2 axis might be involved in the development of hypercortisolism-induced defective gut barrier function.CONCLUSIONS: Disease activity associated dysbiosis and defective gut barrier might jointly facilitate the development of systemic inflammation in patients with CD.PMID:39460431 | DOI:10.1093/ejendo/lvae139
Nontargeted urine metabolomic analysis of acute intermittent porphyria reveals novel interactions between bile acids and heme metabolism: New promising biomarkers for the long-term management of patients
J Inherit Metab Dis. 2024 Oct 25. doi: 10.1002/jimd.12809. Online ahead of print.ABSTRACTAcute intermittent porphyria is an inherited error of heme synthesis. The underlying pathophysiology, involving mainly hepatic heme synthesis, is poorly understood despite its occurrence, and the severity of acute porphyria attack is still difficult to control. A better understanding of the interactions between heme synthesis and global metabolism would improve the management of AIP patients. An untargeted metabolomic analysis was performed on the urine of 114 patients with overt AIP and asymptomatic carriers using liquid chromatography coupled to high-resolution mass spectrometry. The collected data were analyzed by combining univariate and multivariate analyses. A total of 239 metabolites were annotated in urine samples by matching chromatographic and mass spectral characteristics with those from our chemical library. Twenty-six metabolites, including porphyrin precursors, intermediates of tryptophan or glycine metabolism and, unexpectedly, bile acids, showed significant concentration differences between the phenotypic groups. Dysregulation of bile acid metabolism was confirmed by targeted quantitative analysis, which revealed an imbalance in favor of hydrophobic bile acids associated with changes in conjugation, which was more pronounced in the severe phenotype. Using a random forest model, the cholic acid/chenodeoxycholic acid ratio enables the differential classification of severe patients from other patients with a diagnostic accuracy of 84%. The analysis of urine samples revealed significant modifications in the metabolome of AIP patients. Alteration in bile acids provides new insights into the pathophysiology of chronic complications, such as primary liver cancer, while also providing new biomarker candidates for predicting the most severe phenotypes.PMID:39460373 | DOI:10.1002/jimd.12809