PubMed

Front Cardiovasc Med. 2022 Nov 7;9:1033457. doi: 10.3389/fcvm.2022.1033457. eCollection 2022.ABSTRACTAIMS: PERM1 is a striated muscle-specific regulator of mitochondrial bioenergetics. We previously demonstrated that PERM1 is downregulated in the failing heart and that PERM1 positively regulates metabolic genes known as targets of the transcription factor ERRα and its coactivator PGC-1α in cultured cardiomyocytes. The aims of this study were to determine the effect of loss of PERM1 on cardiac function and energetics using newly generated Perm1-knockout (Perm1 -/-) mice and to investigate the molecular mechanisms of its transcriptional control.METHODS AND RESULTS: Echocardiography showed that ejection fraction and fractional shortening were lower in Perm1 -/- mice than in wild-type mice (both p < 0.05), and the phosphocreatine-to-ATP ratio was decreased in Perm1 -/- hearts (p < 0.05), indicating reduced contractile function and energy reserves of the heart. Integrated proteomic and metabolomic analyses revealed downregulation of oxidative phosphorylation and upregulation of glycolysis and polyol pathways in Perm1 -/- hearts. To examine whether PERM1 regulates energy metabolism through ERRα, we performed co-immunoprecipitation assays, which showed that PERM1 bound to ERRα in cardiomyocytes and the mouse heart. DNA binding and reporter gene assays showed that PERM1 was localized to and activated the ERR target promoters partially through ERRα. Mass spectrometry-based screening in cardiomyocytes identified BAG6 and KANK2 as potential PERM1's binding partners in transcriptional regulation. Mammalian one-hybrid assay, in which PERM1 was fused to Gal4 DNA binding domain, showed that the recruitment of PERM1 to a gene promoter was sufficient to activate transcription, which was blunted by silencing of either PGC-1α, BAG6, or KANK2.CONCLUSION: This study demonstrates that PERM1 is an essential regulator of cardiac energetics and function and that PERM1 is a novel transcriptional coactivator in the ERRα/PGC-1α axis that functionally interacts with BAG6 and KANK2.PMID:36419485 | PMC:PMC9676655 | DOI:10.3389/fcvm.2022.1033457

Front Microbiol. 2022 Nov 7;13:1053330. doi: 10.3389/fmicb.2022.1053330. eCollection 2022.ABSTRACTThe metabolic microenvironment of bacteria impacts drug efficacy. However, the metabolic mechanisms of drug-resistant Salmonella spp. remain largely unknown. This study characterized the metabolic mechanism of gentamicin-resistant Salmonella Choleraesuis and found that D-ribose increased the gentamicin-mediated killing of this bacteria. Non-targeted metabolomics of homologous gentamicin-susceptible Salmonella Choleraesuis (SCH-S) and gentamicin-resistant S. Choleraesuis (SCH-R) was performed using UHPLC-Q-TOF MS. The metabolic signature of SCH-R included disrupted central carbon metabolism and energy metabolism, along with dysregulated amino acid and nucleotide metabolism, vitamin and cofactor metabolism, and fatty acid synthesis. D-ribose, the most suppressed metabolite in SCH-R, was shown to strengthen gentamicin efficacy against SCH-R and a clinically isolated multidrug-resistant strain. This metabolite had a similar impact on Salmonella. Derby and Salmonella. Typhimurium. D-ribose activates central carbon metabolism including glycolysis, the pentose phosphate pathway (PPP), and the tricarboxylic acid cycle (TCA cycle), increases the abundance of NADH, polarizes the electron transport chain (ETC), and elevates the proton motive force (PMF) of cells, and induces drug uptake and cell death. These findings suggest that central carbon metabolism plays a critical role in the acquisition of gentamicin resistance by Salmonella, and that D-ribose may serve as an antibiotic adjuvant for gentamicin treatment of resistant bacterial infections.PMID:36419438 | PMC:PMC9676500 | DOI:10.3389/fmicb.2022.1053330

Front Microbiol. 2022 Nov 7;13:1017092. doi: 10.3389/fmicb.2022.1017092. eCollection 2022.ABSTRACTHorizontal gene transfer plays an important role in the spread of antibiotic resistance, in which plasmid-mediated conjugation transfer is the most important mechanism. While sub-minimal inhibitory concentrations (sub-MIC) of antibiotics could promote conjugation frequency, the mechanism by which sub-MIC levels of antibiotics affect conjugation frequency is not clear. Here, we used Klebsiella pneumoniae SW1780 carrying the multi-drug resistance plasmid pSW1780-KPC as the donor strain, to investigate the effects of sub-MICs of meropenem (MEM), ciprofloxacin (CIP), cefotaxime (CTX), and amikacin (AK) on conjugational transfer of pSW1780-KPC from SW1780 to Escherichia coli J53. Our results showed that the transfer frequencies increased significantly by treating SW1780 strain with sub-MIC levels of MEM, CIP, CTX and AK. Transfer frequencies at sub-MIC conditions in a Galleria mellonella were significantly higher than in vitro. To investigate gene expression and metabolic effects, RT-qPCR and LC-MS-based metabolome sequencing were performed. Transcript levels of T4SS genes virB1, virB2, virB4, virB8, and conjugation-related genes traB, traK, traE, and traL were significantly upregulated by exposure to sub-MICs of MEM, CIP, CTX, and AK. Metabolome sequencing revealed nine differentially regulated metabolites. Our findings are an early warning for a wide assessment of the roles of sub-MIC levels of antibiotics in the spread of antibiotic resistance.PMID:36419429 | PMC:PMC9678054 | DOI:10.3389/fmicb.2022.1017092

Front Microbiol. 2022 Nov 7;13:1028913. doi: 10.3389/fmicb.2022.1028913. eCollection 2022.ABSTRACTNeurocognitive disorders (NCDs) include complex and multifactorial diseases that affect many patients. The 5-hydroxytryptamine (5-HT) neuron system plays an important role in NCDs. Existing studies have reported that para-chlorophenylalanine (PCPA), a 5-HT scavenger, has a negative effect on cognitive function. However, we believe that PCPA may result in NCDs through other pathways. To explore this possibility, behavioral tests were performed to evaluate the cognitive function of PCPA-treated mice, suggesting the appearance of cognitive dysfunction and depression-like behavior. Furthermore, 16S rRNA and metabolomic analyses revealed that dysbiosis and acetate alternation could be related to PCPA-induced NCDs. Our results suggest that not only 5-HT depletion but also dysbiosis and acetate alternation contributed to PCPA-related NCDs. Specifically, the latter promotes NCDs by reducing short-chain fatty acid levels. Together, these findings provide an alternative perspective on PCPA-induced NCDs.PMID:36419424 | PMC:PMC9676499 | DOI:10.3389/fmicb.2022.1028913

Front Microbiol. 2022 Nov 7;13:1000033. doi: 10.3389/fmicb.2022.1000033. eCollection 2022.ABSTRACTEndophytic nitrogen-fixing bacteria are versatile and widely distributed in plants. Numerous strains of endophytic nitrogen-fixing bacteria are used as biofertilizers to minimize the utilization of chemical fertilizers, improve nutrient use efficiency, increase crop productivity, and reduce environmental pollution. However, the mechanism underlying the interaction between nitrogen-fixing bacteria and plants is still unclear. So, the present study was planned to assess the effects of endophytic nitrogen-fixing bacteria on sugarcane by analyzing the changes in physiological and biochemical activities. In the current study, Klebsiella variicola DX120E, an endophytic nitrogen-fixing bacterium, was inoculated on sugarcane varieties B8 and ROC22 to evaluate the effects on nitrogen and carbon metabolism-related enzymatic activity and biomass. Results showed that DX120E inoculation improved the enzymatic activities related to gluconeogenesis and nitrogen metabolism increased the sugarcane plant's height, cane juice Brix, biomass, chlorophyll, and soluble sugar content in sugarcane. Metabolomics analysis revealed that the metabolome modules were highly enriched in carbon and nitrogen metabolic pathways of strain-affected sugarcane than uninoculated control. The identified carbohydrates were associated with the glycolysis or gluconeogenesis and tricarboxylic acid (TCA) cycle in plants. Metabolomic profiling in the present investigation showed that carbohydrate metabolism is coordinated with nitrogen metabolism to provide carbon skeletons and energy to amino acid synthesis, and amino acid degradation results in several metabolites used by the citric acid cycle as an energy source. Moreover, differentially expressed metabolites of non-proteinogenic amino acids have a further complementary role to the action of endophytic nitrogen-fixing bacteria. Meanwhile, a significant difference in metabolites and metabolic pathways present in stems and leaves of B8 and ROC22 varieties was found. This study discovered the potential benefits of DX120E in sugarcane and suggested candidate regulatory elements to enhance interactions between nitrogen-fixing microbes and sugarcane.PMID:36419423 | PMC:PMC9678049 | DOI:10.3389/fmicb.2022.1000033

Front Microbiol. 2022 Nov 7;13:1046388. doi: 10.3389/fmicb.2022.1046388. eCollection 2022.ABSTRACTProkaryotic CRISPR-Cas (clustered regularly interspaced short palindromic repeats and CRISPR-associated genes) systems provide immunity against invading genetic elements such as bacteriophages and plasmids. In type III CRISPR systems, the recognition of target RNA leads to the synthesis of cyclic oligoadenylate (cOA) second messengers that activate ancillary effector proteins via their CRISPR-associated Rossmann fold (CARF) domains. Commonly, these are ribonucleases (RNases) that unspecifically degrade both invader and host RNA. To mitigate adverse effects on cell growth, ring nucleases can degrade extant cOAs to switch off ancillary nucleases. Here we show that the model organism Synechocystis sp. PCC 6803 harbors functional CARF-domain effector and ring nuclease proteins. We purified and characterized the two ancillary CARF-domain proteins from the III-D type CRISPR system of this cyanobacterium. The Csx1 homolog, SyCsx1, is a cyclic tetraadenylate(cA4)-dependent RNase with a strict specificity for cytosine nucleotides. The second CARF-domain protein with similarity to Csm6 effectors, SyCsm6, did not show RNase activity in vitro but was able to break down cOAs and attenuate SyCsx1 RNase activity. Our data suggest that the CRISPR systems in Synechocystis confer a multilayered cA4-mediated defense mechanism.PMID:36419420 | PMC:PMC9676260 | DOI:10.3389/fmicb.2022.1046388

Microbiome. 2022 Nov 23;10(1):198. doi: 10.1186/s40168-022-01408-7.ABSTRACTBACKGROUND: Dysregulation of gut microbiota-associated tryptophan metabolism has been observed in patients with multiple sclerosis. However, defining direct mechanistic links between this apparent metabolic rewiring and individual constituents of the gut microbiota remains challenging. We and others have previously shown that colonization with the gut commensal and putative probiotic species, Lactobacillus reuteri, unexpectedly enhances host susceptibility to experimental autoimmune encephalomyelitis (EAE), a murine model of multiple sclerosis. To identify underlying mechanisms, we characterized the genome of commensal L. reuteri isolates, coupled with in vitro and in vivo metabolomic profiling, modulation of dietary substrates, and gut microbiota manipulation.RESULTS: The enzymes necessary to metabolize dietary tryptophan into immunomodulatory indole derivatives were enriched in the L. reuteri genomes, including araT, fldH, and amiE. Moreover, metabolite profiling of L. reuteri monocultures and serum of L. reuteri-colonized mice revealed a depletion of kynurenines and production of a wide array of known and novel tryptophan-derived aryl hydrocarbon receptor (AhR) agonists and antagonists, including indole acetate, indole-3-glyoxylic acid, tryptamine, p-cresol, and diverse imidazole derivatives. Functionally, dietary tryptophan was required for L. reuteri-dependent EAE exacerbation, while depletion of dietary tryptophan suppressed disease activity and inflammatory T cell responses in the CNS. Mechanistically, L. reuteri tryptophan-derived metabolites activated the AhR and enhanced T cell production of IL-17.CONCLUSIONS: Our data suggests that tryptophan metabolism by gut commensals, such as the putative probiotic species L. reuteri, can unexpectedly enhance autoimmunity, inducing broad shifts in the metabolome and immunological repertoire. Video Abstract.PMID:36419205 | DOI:10.1186/s40168-022-01408-7

Cancer Cell Int. 2022 Nov 24;22(1):366. doi: 10.1186/s12935-022-02775-9.ABSTRACTBACKGROUND: Hepatocellular carcinoma (HCC) is one of the deadliest cancers and is mainly developed from chronic liver diseases such as hepatitis-B infection-associated liver cirrhosis (LC). The progression from LC to HCC makes the detection of diagnostic biomarkers to be challenging. Hence, there have been constant efforts to improve on identifying the critical and predictive changes accompanying the disease progression.METHODS: In this study, we looked to using the mass spectrometry mediated spatial metabolomics technique to simultaneous examine hundreds of metabolites in an untargeted fashion. Additionally, metabolic profiles were compared between six subregions within the HCC tissue to collect spatial information.RESULTS: Through those metabolites, altered metabolic pathways in LC and HCC were identified. Specifically, the amino acid metabolisms and the glycerophospholipid metabolisms experienced the most changes. Many of the altered metabolites and metabolic pathways were able to be connected through the urea cycle.CONCLUSIONS: The identification of the key metabolites and pathways can expand our knowledge on HCC metabolic reprogramming and help us exam potential biomarkers for earlier detection of the malignant disease progression.PMID:36419080 | DOI:10.1186/s12935-022-02775-9

Microb Cell Fact. 2022 Nov 23;21(1):241. doi: 10.1186/s12934-022-01973-4.ABSTRACTRecent studies have demonstrated that gut microbiota plays critical roles in various human diseases. High-throughput technology has been widely applied to characterize the microbial ecosystems, which led to an explosion of different types of molecular profiling data, such as metagenomics, metatranscriptomics and metabolomics. For analysis of such data, machine learning algorithms have shown to be useful for identifying key molecular signatures, discovering potential patient stratifications, and particularly for generating models that can accurately predict phenotypes. In this review, we first discuss how dysbiosis of the intestinal microbiota is linked to human disease development and how potential modulation strategies of the gut microbial ecosystem can be used for disease treatment. In addition, we introduce categories and workflows of different machine learning approaches, and how they can be used to perform integrative analysis of multi-omics data. Finally, we review advances of machine learning in gut microbiome applications and discuss related challenges. Based on this we conclude that machine learning is very well suited for analysis of gut microbiome and that these approaches can be useful for development of gut microbe-targeted therapies, which ultimately can help in achieving personalized and precision medicine.PMID:36419034 | DOI:10.1186/s12934-022-01973-4

BMC Plant Biol. 2022 Nov 22;22(1):541. doi: 10.1186/s12870-022-03929-7.ABSTRACTBACKGROUND: Pine wilt disease (PWD) is a destructive disease that endangers pine trees, resulting in the wilting, with yellowing and browning of the needles, and eventually the death of the trees. Previous studies showed that the Avr9/Cf-9 rapidly elicited (PmACRE1) gene was downregulated by Bursaphelenchus xylophilus infection, suggesting a correlation between PmACRE1 expression and pine tolerance. Here, we used the expression of PmACRE1 in Arabidopsis thaliana to evaluate the role of PmACRE1 in the regulation of host defence against B. xylophilus infection.RESULTS: Our results showed that the transformation of PmACRE1 into A. thaliana enhanced plant resistance to the pine wood nematode (PWN); that is, the leaves of the transgenic line remained healthy for a longer period than those of the blank vector group. Ascorbate peroxidase (APX) activity and total phenolic acid and total flavonoid contents were higher in the transgenic line than in the control line. Widely targeted metabolomics analysis of the global secondary metabolites in the transgenic line and the vector control line showed that the contents of 30 compounds were significantly different between these two lines; specifically, the levels of crotaline, neohesperidin, nobiletin, vestitol, and 11 other compounds were significantly increased in the transgenic line. The studies also showed that the ACRE1 protein interacted with serine hydroxymethyltransferase, catalase domain-containing protein, myrosinase, dihydrolipoyl dehydrogenase, ketol-acid reductoisomerase, geranylgeranyl diphosphate reductase, S-adenosylmethionine synthase, glutamine synthetase, and others to comprehensively regulate plant resistance.CONCLUSIONS: Taken together, these results indicate that PmACRE1 has a potential role in the regulation of plant defence against PWNs.PMID:36418942 | DOI:10.1186/s12870-022-03929-7

Methods Mol Biol. 2023;2583:149-156. doi: 10.1007/978-1-0716-2752-5_13.ABSTRACTDiverse metabolic disorders can disrupt brain growth, and analyzing metabolism in animal models of microcephaly may reveal new mechanisms of pathogenesis. The metabolism of functioning cells in a living organism is constantly changing in response to a changing environment, circadian rhythms, consumed food, drugs, progressing sicknesses, aging, and many other factors. Metabolic profiling can give important insights into the working machinery of the cell. However, a frozen snapshot of the interconnected, complex network of reactions gives very limited information about this system. Flux analysis using stable isotope labels enables more robust metabolic studies that consider interrogate metabolite processing and changes in molecular concentrations over time.PMID:36418732 | DOI:10.1007/978-1-0716-2752-5_13

Methods Mol Biol. 2023;2583:3-7. doi: 10.1007/978-1-0716-2752-5_1.ABSTRACTBrain growth reflects the proliferation dynamics of neural progenitors, and understanding brain growth requires molecular, genetic, and functional studies of these specific cells. Cerebellar granule neuron progenitors (CGNPs) proliferate in the early postnatal period in both mice and humans, to generate the largest population of neurons in the central nervous system. CGNPs present a large, spatially segregated source of neural progenitors with a consistent, well-characterized temporal pattern of proliferation and differentiation that facilitates analysis. Dissociating of CGNPs with the methods below will generate a suspension of primary neural progenitors harvested from the postnatal brain that may be used for diverse experimental analyses including cell culture, protein extraction, flow cytometry, metabolomic analysis, and transcriptomic analysis with single-cell resolution (scRNA-seq).PMID:36418720 | DOI:10.1007/978-1-0716-2752-5_1

Nat Rev Rheumatol. 2022 Nov 23. doi: 10.1038/s41584-022-00867-4. Online ahead of print.ABSTRACTGlycosylation has a profound influence on protein activity and cell biology through a variety of mechanisms, such as protein stability, receptor interactions and signal transduction. In many rheumatic diseases, a shift in protein glycosylation occurs, and is associated with inflammatory processes and disease progression. For example, the Fc-glycan composition on (auto)antibodies is associated with disease activity, and the presence of additional glycans in the antigen-binding domains of some autoreactive B cell receptors can affect B cell activation. In addition, changes in synovial fibroblast cell-surface glycosylation can alter the synovial microenvironment and are associated with an altered inflammatory state and disease activity in rheumatoid arthritis. The development of our understanding of the role of glycosylation of plasma proteins (particularly (auto)antibodies), cells and tissues in rheumatic pathological conditions suggests that glycosylation-based interventions could be used in the treatment of these diseases.PMID:36418483 | DOI:10.1038/s41584-022-00867-4

NPJ Biofilms Microbiomes. 2022 Nov 22;8(1):93. doi: 10.1038/s41522-022-00356-2.ABSTRACTThe polysaccharide Bep is essential for in vitro biofilm formation of the opportunistic pathogen Burkholderia cenocepacia. We found that the Burkholderia diffusible signaling factor (BDSF) quorum sensing receptor RpfR is a negative regulator of the bep gene cluster in B. cenocepacia. An rpfR mutant formed wrinkled colonies, whereas additional mutations in the bep genes or known bep regulators like berA and berB restored the wild-type smooth colony morphology. We found that there is a good correlation between intracellular c-di-GMP levels and bep expression when the c-di-GMP level is increased or decreased through ectopic expression of a diguanylate cyclase or a c-di-GMP phosphodiesterase, respectively. However, when the intracellular c-di-GMP level is changed by site directed mutagenesis of the EAL or GGDEF domain of RpfR there is no correlation between intracellular c-di-GMP levels and bep expression. Except for rpfR, deletion mutants of all 25 c-di-GMP phosphodiesterase and diguanylate cyclase genes encoded by B. cenocepacia showed no change to berA and bep gene expression. Moreover, bacterial two-hybrid assays provided evidence that RpfR and BerB physically interact and give specificity to the regulation of the bep genes. We suggest a model where RpfR binds BerB at low c-di-GMP levels to sequester this RpoN-dependent activator to an RpfR/RpfF complex. If the c-di-GMP levels rise, possibly by the enzymatic action of RpfR, BerB binds c-di-GMP and is released from the RpfR/RpfF complex and associates with RpoN to activate transcription of berA, and the BerA protein subsequently activates transcription of the bep genes.PMID:36418316 | DOI:10.1038/s41522-022-00356-2

J Cachexia Sarcopenia Muscle. 2022 Nov 23. doi: 10.1002/jcsm.13131. Online ahead of print.ABSTRACTBACKGROUND: The detrimental impact of malnutrition and cachexia in cancer patients subjected to surgical resection is well established. However, how systemic and local metabolic alterations in cancer patients impact the serum metabolite signature, thereby leading to cancer-specific differences, is poorly defined. In order to implement metabolomics as a potential tool in clinical diagnostics and disease follow-up, targeted metabolite profiling based on quantitative measurements is essential. We hypothesized that the quantitative metabolic profile assessed by 1 H nuclear magnetic resonance (NMR) spectroscopy can be used to identify cancer-induced catabolism and potentially distinguish between specific tumour entities. Importantly, to prove tumour dependency and assess metabolic normalization, we additionally analysed the metabolome of patients' sera longitudinally post-surgery in order to assess metabolic normalization.METHODS: Forty two metabolites in sera of patients with tumour entities known to cause malnutrition and cachexia, namely, upper gastrointestinal cancer and pancreatic cancer, as well as sera of healthy controls, were quantified by 1 H NMR spectroscopy.RESULTS: Comparing serum metabolites of patients with gastrointestinal cancer with healthy controls and pancreatic cancer patients, we identified at least 15 significantly changed metabolites in each comparison. Principal component and pathway analysis tools showed a catabolic signature in preoperative upper gastrointestinal cancer patients. The most specifically upregulated metabolite group in gastrointestinal cancer patients was ketone bodies (3-hydroxybutyrate, P < 0.0001; acetoacetate, P < 0.0001; acetone, P < 0.0001; false discovery rate [FDR] adjusted). Increased glycerol levels (P < 0.0001), increased concentration of the ketogenic amino acid lysine (P = 0.03) and a significant correlation of 3-hydroxybutyrate levels with branched-chained amino acids (leucine, P = 0.02; isoleucine, P = 0.04 [FDR adjusted]) suggested that ketone body synthesis was driven by lipolysis and amino acid breakdown. Interestingly, the catabolic signature was independent of the body mass index, clinically assessed malnutrition using the nutritional risk screening score, and systemic inflammation assessed by CRP and leukocyte count. Longitudinal measurements and principal component analyses revealed a quick normalization of key metabolic alterations seven days post-surgery, including ketosis.CONCLUSIONS: Together, the quantitative metabolic profile obtained by 1 H NMR spectroscopy identified a tumour-induced catabolic signature specific to upper gastrointestinal cancer patients and enabled monitoring restoration of metabolic homeostasis after surgery. This approach was critical to identify the obtained metabolic profile as an upper gastrointestinal cancer-specific signature independent of malnutrition and inflammation.PMID:36418015 | DOI:10.1002/jcsm.13131

Nucleic Acids Res. 2022 Nov 24:gkac1058. doi: 10.1093/nar/gkac1058. Online ahead of print.ABSTRACTThe identification of unknown chemicals has emerged as a significant issue in untargeted metabolome analysis owing to the limited availability of purified standards for identification; this is a major bottleneck for the accumulation of reusable metabolome data in systems biology. Public resources for discovering and prioritizing the unknowns that should be subject to practical identification, as well as further detailed study of spending costs and the risks of misprediction, are lacking. As such a resource, we released databases, Food-, Plant- and Thing-Metabolome Repository (http://metabolites.in/foods, http://metabolites.in/plants, and http://metabolites.in/things, referred to as XMRs) in which the sample-specific localization of unknowns detected by liquid chromatography-mass spectrometry in a wide variety of samples can be examined, helping to discover and prioritize the unknowns. A set of application programming interfaces for the XMRs facilitates the use of metabolome data for large-scale analysis and data mining. Several applications of XMRs, including integrated metabolome and genome analyses, are presented. Expanding the concept of XMRs will accelerate the identification of unknowns and increase the discovery of new knowledge.PMID:36417935 | DOI:10.1093/nar/gkac1058

Comput Biol Med. 2022 Nov 17;151(Pt A):106312. doi: 10.1016/j.compbiomed.2022.106312. Online ahead of print.ABSTRACTBACKGROUND: Alzheimer's disease is a significant public health issue. Recent studies have shown that the gut microbiota plays a vital role in the onset and development of Alzheimer's disease. However, the potential role of the gut microbiota and the associated metabolic characteristics require further elucidation.METHODS: The gut microbial compositions of APP/PS1 mice were analyzed using 16S rRNA gene sequencing. Metabolomics was used to characterize changes in metabolic profiles in feces, serum, and cortex. A multi-omics approach investigated the potential associations between gut microbes and metabolites.RESULTS: The gut microbiota composition was markedly different between APP/PS1 mice and normal mice. Metabolomic analysis identified 253 fecal metabolites, 16 serum metabolites, and 123 cortical metabolites that were differentially abundant in APP/PS1 that may be potential biomarkers of AD. Nearly half of these metabolites were lipids. A combined analysis of the three sample types showed a correlation between fecal fatty acids and glycerolipids, serum glycerophospholipids, and cortical fatty acids. Furthermore, our study showed that Marinifilaceae and Akkermansiaceae were closely related to these lipids and lipid-like molecules, particularly fatty acids and glycerophospholipids.CONCLUSION: Our study highlighted the interactions between the gut microbiome and the fecal, serum, and cortical metabolomes. This interaction provides a new direction for further exploring the link between gut microbiota composition and metabolism in Alzheimer's disease.PMID:36417828 | DOI:10.1016/j.compbiomed.2022.106312

Redox Biol. 2022 Nov 12;58:102538. doi: 10.1016/j.redox.2022.102538. Online ahead of print.ABSTRACTSarcopenia is prevalent in patients with hepatocellular carcinoma (HCC), and can adversely affect their outcomes. This study aims to explore the key mechanisms in the crosstalk between sarcopenia and HCC based on multi-omics profiling. A total of 136 male patients with HCC were enrolled. Sarcopenia was an independent risk factor for poor outcomes after liver transplantation (p < 0.05). Inflammatory cytokine and metabolomic profiling on these patients identified elevated plasma sTNF-R1/CHI3L1 and dysregulated lipid metabolism as related to sarcopenia and tumor recurrence risk concurrently (p < 0.05). Integrated analysis revealed close relationship between CHI3L1 and fatty acid metabolism. In mouse cachectic models by intraperitoneal injection of H22 cells, CHI3L1 was significantly elevated in the atrophic muscle tissue, as well as in circulation. In-vitro, CHI3L1 was up-regulated in muscle cells to protect itself from inflammatory damage through TNF-α/TNF-R1 signaling. CHI3L1 secreted by the muscle cells promoted the invasion of co-cultured HCC cells. Tumor tissue transcriptome data for 73 out of the 136 patients revealed that CHI3L1 may regulate fatty acid metabolism and oxidative stress. In vitro, CHI3L1 caused ROS and lipid accumulation. Targeted lipid profiling further proved that CHI3L1 was able to activate arachidonic acid metabolism, leading to lipid peroxide (LPO) accumulation. Meanwhile, LPO inhibition could compromise the remarkable pro-cancerous effects of CHI3L1. In conclusion, sarcopenia adversely affects the outcomes of liver transplantation for HCC. In sarcopenic patients, CHI3L1 was up-regulated and secreted by the skeletal muscle to protect itself through TNF-α/TNF-R1 signaling, which, in turn, can promote HCC tumor progression by inducing LPO accumulation.PMID:36417796 | DOI:10.1016/j.redox.2022.102538

Anal Chem. 2022 Nov 23. doi: 10.1021/acs.analchem.2c04319. Online ahead of print.ABSTRACTSurface-assisted laser desorption/ionization mass spectrometry (SALDI-MS) has gained increased attention in the metabolic characterization of human biofluids. However, the stability and reproducibility of nanoparticle-based substrates remain two of the biggest challenges in high-salt environments. Here, by controlling the extent of Coulomb repulsion of 26 nm positively charged AuNPs, a homogeneous layer of covalently bonded AuNPs on a coverslip with tunable interparticle distances down to 16 nm has been successfully fabricated to analyze small biomolecules in human serum. Compared with the self-assembled AuNP array, the covalently bonded AuNP array showed superior performances on stability, reproducibility, and sensitivity in high-salt environments. The stable attachment of AuNPs maintained a detection reproducibility with a RSD less than 12% and enabled the reusability of the array for 10 experiments without significant signal deterioration (<15%) and carryover effects. Moreover, the closely positioned AuNPs allowed the coupling of photoinduced plasmons to generate an enhanced electric field, which promotes the generation of excited electrons to facilitate the desorption/ionization processes instead of the heat dissipation, thus enhancing the detection sensitivity with detection limits down to the femtomole level. Combined with machine learning methods, the AuNP array has been successfully applied to discover seven biomarkers for differentiating early-stage lung cancer patients from healthy controls. It is anticipated that this simple approach of developing robust AuNP arrays can also be extended to other types of NP arrays for wider applications of SALDI-MS technology.PMID:36417775 | DOI:10.1021/acs.analchem.2c04319

J Proteome Res. 2022 Nov 23. doi: 10.1021/acs.jproteome.2c00559. Online ahead of print.ABSTRACTRice is a staple food crop worldwide; however, salinity stress is estimated to reduce its global production by 50%. Knowledge about initial molecular signaling and proteins associated with sensing salinity among crop plants is limited. We characterized early salt effects on the proteome and metabolome of rice tissues. Omics results were validated by western blotting and multiple reaction monitoring assays and integrated with physiological changes. We identified 8160 proteins and 2045 metabolites in rice tissues. Numerous signaling pathways were induced rapidly or partially by salinity. Combined data showed the most susceptible proteins or metabolites in each pathway that likely affected the sensitivity of rice to salinity, such as PLA1, BON3 (involved in sensing stress), SnRK2, pro-resilin, GDT1, G-proteins, calmodulin activators (Ca2+ and abscisic acid signaling), MAPK3/5, MAPKK1/3 (MAPK pathway), SOS1, ABC F/D, PIP2-7, and K+ transporter-23 (transporters), OPR1, JAR1, COL1, ABA2, and MAPKK3 (phytohormones). Additionally, our results expanded the stress-sensing function of receptor-like kinases, phosphatidylinositols, and Na+ sensing proteins (IPUT1). Combined analyses revealed the most sensitive components of signaling pathways causing salt-susceptibility in rice and suggested potential targets for crop improvement.PMID:36417662 | DOI:10.1021/acs.jproteome.2c00559