PubMed

Chem Res Toxicol. 2023 Jun 21. doi: 10.1021/acs.chemrestox.3c00091. Online ahead of print.ABSTRACTCell and animal models have been used to provide insights with regard to physiological changes in intestinal flora due to exposure to drugs and environmental contaminants. Here, a novel in vitro model known as simulator of the human intestinal microbial ecosystem (SHIME) was used to assess the effects of three chemicals of emerging concern, namely glyphosate, perfluorooctanoic acid (PFOA), and docusate sodium (dioctyl sulfosuccinate, DOSS), on the lipidomic and metabolomic profiles of the gut microenvironment in both the proximal and distal colonic compartments. Nontargeted analyses by ultra-high performance liquid chromatography-tandem mass spectrometry and gas chromatography-electron ionization-mass spectrometry revealed minor differences in the lipidomic and metabolomic signatures of the proximal and distal colon following treatment with either glyphosate or PFOA at acceptable human daily intake levels or average daily exposures. However, global dysregulation of lipids and metabolites was observed due to DOSS treatment at conventional prescription doses when indicated as a stool softener. Our findings suggest that the current guidelines for glyphosate and PFOA exposure may be adequate at the level of the lower gut microbiome in healthy adults, but the probable yet uncharacterized off-target effects, safety, and efficacy of long-term DOSS treatment warrants further investigation. Indeed, we highlight the SHIME system as a novel in vitro approach which can be used as a screening tool to assess the impact of drugs and/or chemicals on the gut microbiome, while implementing state-of-the-art and data-driven mass spectrometric workflows to identify toxic lipidomic and metabolomic signatures.PMID:37342084 | DOI:10.1021/acs.chemrestox.3c00091

Mol Biol Rep. 2023 Jun 21. doi: 10.1007/s11033-023-08589-w. Online ahead of print.ABSTRACTIn the aging communities, wound healing management is a quite remarkable problem especially in elderly individuals. The optimal level of healing of wounds developed spontaneously or due to surgery is of critical importance in order to prevent the negative effects that may occur due to delayed healing (for example, organ or system damage caused by infections that may develop in the wound area). The deteriorated subcellular redox signaling is considered to be as the main factor in the chronicity of wounds. The pivotal role of mitochondria in redox regulation reveals the importance of modulation of redox signaling pathways in senescent cells. Secretory factors released upon the acquisition of senescence-associated secretory phenotype (SASP) function in a paracrine manner to disseminate impaired tissue redox status by affecting the redox metabolome of nearby cells, which could promote age-related pro-inflammatory pathologies. Evaluating the wound-site redox regulation in impaired redox signaling pathways may help prevent the formation of chronic wounds and the development of long-term complications of the wounds, especially in the elderly. Using the redox modulatory pharmacologically active substances targeting the senescent cells in chronic wound areas hopefully opens a new avenue in wound management. As the signaling mechanisms of wound healing and its relationship with advanced age become more clearly understood, many promising therapeutic approaches and redox modulator substances are coming into clinical view for the management of chronic wounds.PMID:37341917 | DOI:10.1007/s11033-023-08589-w

Angew Chem Int Ed Engl. 2023 Jun 21:e202306154. doi: 10.1002/anie.202306154. Online ahead of print.ABSTRACTNuclear Magnetic Resonance (NMR) spectra of human serum and plasma show, besides metabolites and lipoproteins, two characteristic signals termed GlycA and B arising from the acetyl groups of glycoprotein glycans from acute phase proteins, which constitute good markers for inflammatory processes. Here, we report a comprehensive assignment of glycoprotein glycan NMR signals observed in human serum, showing that GlycA and GlycB signals originate from Neu5Ac and GlcNAc moieties from N-glycans, respectively. Diffusion-edited NMR experiments demonstrate that signal components can be associated with specific acute phase proteins. Conventionally determined concentrations of acute phase glycoproteins correlate well with distinct features in NMR spectra (R2 up to 0.9422, p-value <0.001), allowing the simultaneous quantification of several acute phase inflammation proteins. Overall, a proteo-metabolomics NMR signature of significant diagnostic potential is obtained within 10 - 20 min acquisition time. This is exemplified in serum samples from COVID-19 and cardiogenic shock patients showing significant changes in several acute phase proteins compared to healthy controls.PMID:37341676 | DOI:10.1002/anie.202306154

Anal Chem. 2023 Jun 21. doi: 10.1021/acs.analchem.3c00722. Online ahead of print.ABSTRACTChemical tagging via possible derivatization reagents alters metabolites' retention times, leading to different retention behavior during liquid chromatography-mass spectrometry (LC-MS) analysis. Incorporation of the retention time dimension can dramatically reduce false-positive structural elucidation in chemical-tagging-based metabolomics. However, few studies predict the retention times of chemically labeled metabolites, especially requiring a simple, easy-to-access, accurate, and universal predictor or descriptor. This pilot study demonstrates the application of volume-corrected free energy (VFE) calculation and region mapping as a new criterion to describe the retention time for structure elucidation in chemical-tagging-based metabolomics. The universality of VFE calculation is first evaluated with four different types of submetabolomes including hydroxyl-group-, carbonyl-group-, carboxylic-group-, and amino-group-containing compounds and oxylipins with similar chemical structures and complex isomers on reverse-phase LC. Results indicate a good correlation (r > 0.85) between VFE values and their corresponding retention times using different technicians, instruments, and chromatographic columns, describing retention behavior in reverse-phase LC. Finally, the VFE region mapping is described for identifying 1-pentadecanol from aged camellia seed oil using three proposed steps, including public database searching, VFE region mapping for its 12 isomers, and chemical standard matching. The possibility of VFE calculation of nonderivatized compounds in retention time prediction is also investigated, demonstrating its effectiveness on retention times with different influence factors.PMID:37341572 | DOI:10.1021/acs.analchem.3c00722

J Agric Food Chem. 2023 Jun 21. doi: 10.1021/acs.jafc.3c01689. Online ahead of print.ABSTRACTTo investigate thiol-disulfide interchange reactions in heated milk yielding non-native intramolecular rearranged and intermolecular cross-linked proteins, a proteomic study based on nanoLC-ESI-Q-Orbitrap-MS/MS and dedicated bioinformatics was accomplished. Raw milk samples heated for different times and various commercial dairy products were analyzed. Qualitative experiments on tryptic digests of resolved protein mixtures assigned the corresponding disulfide-linked peptides. Results confirmed the limited data available on few milk proteins, generated the widest inventory of components (63 in number) involved in thiol-disulfide exchange processes, and provided novel structural information on S-S-bridged molecules. Quantitative experiments on unresolved protein mixtures from both sample typologies estimated the population of molecules associated with thiol-disulfide reshuffling processes. Disulfide-linked peptides associated with native intramolecular S-S bonds generally showed a progressive reduction depending on heating time/harshness, whereas those related to specific non-native intramolecular/intermolecular ones showed an opposite quantitative trend. This was associated with a temperature-dependent augmented reactivity of definite native protein thiols and S-S bridges, which determined the formation of non-native rearranged monomers and cross-linked oligomers. Results provided novel information for possibly linking the nature and extent of thiol-disulfide exchange reactions in heated milk proteins to the corresponding functional and technological characteristics, with possible implications on food digestibility, allergenicity, and bioactivity.PMID:37341524 | DOI:10.1021/acs.jafc.3c01689

J Immunol. 2023 Jun 21:ji2200851. doi: 10.4049/jimmunol.2200851. Online ahead of print.ABSTRACTCMV can elicit adaptive immune features in both mouse and human NK cells. Mouse Ly49H+ NK cells expand 100- to 1000-fold in response to mouse CMV infection and persist for months after exposure. Human NKG2C+ NK cells also expand after human CMV (HCMV) infection and persist for months. The clonal expansion of adaptive NK cells is likely an energy-intensive process, and the metabolic requirements that support adaptive NK cell expansion and persistence remain largely uncharacterized. We previously reported that NK cells from HCMV-seropositive donors had increased maximum capacity for both glycolysis and mitochondrial oxidative phosphorylation relative to NK cells from HCMV-seronegative donors. In this article, we report an extension of this work in which we analyzed the metabolomes of NK cells from HCMV-seropositive donors with NKG2C+ expansions and NK cells from HCMV seronegative donors without such expansions. NK cells from HCMV+ donors exhibited striking elevations in purine and pyrimidine deoxyribonucleotides, along with moderate increases in plasma membrane components. Mechanistic target of rapamycin (mTOR) is a serine/threonine protein kinase that, as a part of mTOR complex 1 (mTORC1), bridges nutrient signaling to metabolic processes necessary for cell growth. Signaling through mTORC1 induces both nucleotide and lipid synthesis. We observed elevated mTORC1 signaling on activation in both NKG2C- and NKG2C+ NK cells from HCMV+ donors relative to those from HCMV- donors, demonstrating a correlation between higher mTORC1 activity and synthesis of key metabolites for cell growth and division.PMID:37341510 | DOI:10.4049/jimmunol.2200851

J Biochem Mol Toxicol. 2023 Jun 21:e23412. doi: 10.1002/jbt.23412. Online ahead of print.ABSTRACTCadmium (Cd) is widely distributed in the environment and easy adsorbed by living organisms with adverse effects. Exposure to Cd-contaminated food may disrupt lipid metabolism and increase human health risk. To study the perturbation effect of Cd on lipid metabolism in vivo, 24 male Sprague-Dawley (SD) rats were randomly assigned four groups and treated by Cd chloride solution (0, 1.375 mg/kg, 5.5 mg/kg, 22 mg/kg) for 14 days. The characteristic indexes of serum lipid metabolism were analyzed. Afterwards, untargeted metabolomics analysis was applied to explore the adverse effects of Cd on rats by liquid chromatography coupled with mass spectrometry (LC-MS). The results revealed that Cd exposure obviously decreased the average serum of triglycerides (TG) and low-density lipoprotein cholesterol (LDL-C) and caused an imbalance of endogenous compounds in the 22 mg/kg Cd-exposed group. Compared with the control group, 30 metabolites with significant differences were identified in the serum. Our results indicated that Cd caused lipid metabolic disorders in rats by disrupting linoleic acid and glycerophospholipid metabolism pathways. Furthermore, there were three kinds of remarkable differential metabolites-9Z,12Z-octadecadienoic acid, PC(20:4(8Z,11Z,14Z,17Z)/0:0), and PC(15:0/18:2(9Z,12Z)), which enriched the two significant metabolism pathways and could be the potential biomarkers.PMID:37341456 | DOI:10.1002/jbt.23412

Ann Clin Transl Neurol. 2023 Jun 20. doi: 10.1002/acn3.51832. Online ahead of print.ABSTRACTOBJECTIVE: Infection-triggered encephalopathy syndromes (ITES) are potentially devastating neuroinflammatory conditions. Although some ITES syndromes have recognisable MRI neuroimaging phenotypes, there are otherwise few biomarkers of disease. Early detection to enable immune modulatory treatments could improve outcomes.METHODS: We measured CSF neopterin, quinolinic acid, kynurenine and kynurenine/tryptophan ratio using a liquid chromatography coupled to tandem mass spectrometry (LC-MS/MS) system. The CSF of 18 children with ITES were compared with acute encephalitis (n = 20), and three control groups, namely epilepsy (n = 20), status epilepticus (n = 18) and neurogenetic controls (n = 20).RESULTS: The main ITES phenotypes in 18 patients were acute encephalopathy with biphasic seizures and late restricted diffusion (AESD, n = 4), febrile infection-related epilepsy syndrome (FIRES n = 4) and other ITES phenotypes. Influenza A was the most common infectious trigger (n = 5), and 50% of patients had a preceding notable neurodevelopmental or family history. CSF neopterin, quinolinic acid and kynurenine were elevated in ITES group compared to the three control groups (all p < 0.0002). The ROC (area under curve) for CSF neopterin (99.3%, CI 98.1-100) was significantly better than CSF pleocytosis (87.3% CI 76.4-98.2) (p = 0.028). Elevated CSF neopterin could discriminate ITES from other causes of seizures, status epilepticus and febrile status epilepticus (all p < 0.0002). The elevated CSF metabolites normalised during longitudinal testing in two patients with FIRES.INTERPRETATION: CSF neopterin and quinolinic acid are neuroinflammatory and excitotoxic metabolites. This CSF metabolomic inflammatory panel can discriminate ITES from other causes of new onset seizures or status epilepticus, and rapid results (4 h) may facilitate early immune modulatory therapy.PMID:37340737 | DOI:10.1002/acn3.51832

BMC Plant Biol. 2023 Jun 21;23(1):328. doi: 10.1186/s12870-023-04326-4.ABSTRACTBACKGROUND: New vegetable production systems, such as vertical farming, but also well-established in-door production methods led to the implementation of light emitting diodes (LEDs). LEDs are the most important light sources in modern indoor-production systems and offer the possibility for enhancing growth and specific metabolites in planta. Even though the number of studies investigating the effects of LED lighting on vegetable quality has increased, the knowledge about genus variability is limited. In the present study, the effect of different LED spectra on the metabolic and transcriptional level of the carotenoid metabolism in five different Brassica sprouts was investigated. Cruciferous vegetables are one of the main food crops worldwide. Pak choi (Brassica rapa ssp. chinensis), cauliflower (Brassica oleracea var. botrytis), Chinese cabbage (Brassica rapa ssp. pekinensis), green kale (Brassica oleracea ssp. sabellica) and turnip cabbage (Brassica oleracea spp. gongylodes) sprouts were grown under a combination of blue & white LEDs, red & white LEDs or only white LEDs to elucidate the genus-specific carotenoid metabolism.RESULTS: Genus-specific changes in plant weight and on the photosynthetic pigment levels as well as transcript levels have been detected. Interestingly, the transcript levels of the three investigated carotenoid biosynthesis genes phytoene synthase (PSY), β-cyclase (βLCY) and β-carotene hydroxylase (βOHASE1) were increased under the combination of blue & white LEDs in the majority of the Brassica sprouts. However, only in pak choi, the combination of blue & white LEDs enhanced the carotenoid levels by 14% in comparison to only white LEDs and by ~ 19% in comparison to red & white LEDs.CONCLUSIONS: The effects of light quality differ within a genus which leads to the conclusion that production strategies have to be developed for individual species and cultivars to fully benefit from LED technology.PMID:37340342 | DOI:10.1186/s12870-023-04326-4

Commun Biol. 2023 Jun 20;6(1):653. doi: 10.1038/s42003-023-05035-2.ABSTRACTThe extracellular microenvironment modulates glioma behaviour. It remains unknown if blood-brain barrier disruption merely reflects or functionally supports glioma aggressiveness. We utilised intra-operative microdialysis to sample the extracellular metabolome of radiographically diverse regions of gliomas and evaluated the global extracellular metabolome via ultra-performance liquid chromatography tandem mass spectrometry. Among 162 named metabolites, guanidinoacetate (GAA) was 126.32x higher in enhancing tumour than in adjacent brain. 48 additional metabolites were 2.05-10.18x more abundant in enhancing tumour than brain. With exception of GAA, and 2-hydroxyglutarate in IDH-mutant gliomas, differences between non-enhancing tumour and brain microdialysate were modest and less consistent. The enhancing, but not the non-enhancing glioma metabolome, was significantly enriched for plasma-associated metabolites largely comprising amino acids and carnitines. Our findings suggest that metabolite diffusion through a disrupted blood-brain barrier may largely define the enhancing extracellular glioma metabolome. Future studies will determine how the altered extracellular metabolome impacts glioma behaviour.PMID:37340056 | DOI:10.1038/s42003-023-05035-2

Am J Physiol Gastrointest Liver Physiol. 2023 Jun 20. doi: 10.1152/ajpgi.00242.2022. Online ahead of print.ABSTRACTAlcoholic liver cirrhosis (ALC) is accompanied by sarcopenia. The aim of this study was to investigate the acute effects of balanced parenteral nutrition (PN) on skeletal muscle protein turnover in ALC. Eight male patients with ALC and seven age- and sex-matched healthy controls were studied for three hours of fasting followed by three hours of intravenous PN (SmofKabiven 1206 mL: Amino acid 38 g, carbohydrates 85 g, fat 34 g) 4 ml/kg/hour. We measured leg blood flow, sampled paired femoral arterio-venous concentrations and quadriceps muscle biopsies while providing a primed continuous infusion of [ring-2D5]-phenylalanine to quantify muscle protein synthesis and breakdown. Patients with ALC exhibited shorter 6-min walking distance (ALC: 487 ± 38 vs. controls: 722 ± 14 m, p<0.05), lower hand-grip strength (ALC: 34 ± 2 vs. controls: 52 ± 2 kg, p<0.05), and CT-verified leg muscle loss (ALC: 5922 ± 246 vs. controls: 8110 ± 345 mm2, p<0.05). Net leg muscle phenylalanine uptake changed from negative (muscle loss) during fasting to positive (muscle gain) in response to PN (ALC: -0.18 ± +0.01 vs. 0.24 ± 0.03 µmol/kg muscle*min-1; p <0.001 and controls: -0.15 ± 0.01 vs. 0.09 ± 0.01 µmol/kg muscle*min-1; p <0.001), but with higher net muscle phenylalanine uptake in ALC than controls (p <0.001). Insulin concentrations were substantially higher in ALC patients during PN. Our results suggest a higher net muscle phenylalanine uptake during a single infusion of PN in stable ALC patients with sarcopenia compared with healthy controls.PMID:37339940 | DOI:10.1152/ajpgi.00242.2022

Spine J. 2023 Jun 18:S1529-9430(23)00233-4. doi: 10.1016/j.spinee.2023.06.005. Online ahead of print.ABSTRACTBACKGROUND CONTEXT: Intervertebral disc degeneration (IVDD) is an incurable, specific treatment-orphan disease with an increasing burden worldwide. Although great efforts have been made to develop new regenerative therapies, their clinical success is limited.PURPOSE: Characterize the metabolomic and gene expression changes underpinning human disc degeneration. This study also aimed to disclose new molecular targets for developing and optimizing novel biological approaches for IVDD.STUDY DESIGN: Intervertebral disc cells were obtained from IVDD patients undergoing circumferential arthrodesis surgery or from healthy subjects. Mimicking the harmful microenvironment of degenerated discs, cells isolated from the nucleus pulposus (NP) and annulus fibrosus (AF) were exposed to the pro-inflammatory cytokine IL-1β and the adipokine leptin. The metabolomic signature and molecular profile of human disc cells were unraveled for the first time.METHODS: The metabolomic and lipidomic profiles of IVDD and healthy disc cells were analyzed by high-performance liquid chromatography-mass spectrometry (UHPLC-MS). Gene expression was investigated by SYBR green-based quantitative real-time RT-PCR. Altered metabolites and gene expression were documented.RESULTS: Lipidomic analysis revealed decreased levels of triacylglycerols (TG), diacylglycerol (DG), fatty acids (FA), phosphatidylcholine (PC), lysophosphatidylinositols (LPI) and sphingomyelin (SM), and increased levels of bile acids (BA) and ceramides, likely promoting disc cell metabolism changing from glycolysis to fatty acid oxidation and following cell death. The gene expression profile of disc cells suggests LCN2 and LEAP2/GHRL as promising molecular therapeutic targets for disc degeneration and demonstrates the expression of genes related to inflammation (NOS2, COX2, IL-6, IL-8, IL-1β, and TNF-α) or encoding adipokines (PGRN, NAMPT, NUCB2, SERPINE2, and RARRES2), matrix metalloproteinases (MMP9 and MMP13), and vascular adhesion molecules (VCAM1).CONCLUSIONS: Altogether, the presented results disclose the NP and AF cell biology changes from healthy to degenerated discs, allowing the identification of promising molecular therapeutic targets for intervertebral disc degeneration.CLINICAL SIGNIFICANCE: Our results are relevant to improving current biological-based strategies aiming to repair IVD by restoring cellular lipid metabolites as well as adipokines homeostasis. Ultimately, our results will be valuable for successful, long-lasting relief of painful IVDD.PMID:37339697 | DOI:10.1016/j.spinee.2023.06.005

J Clin Endocrinol Metab. 2023 Jun 20:dgad370. doi: 10.1210/clinem/dgad370. Online ahead of print.ABSTRACTBACKGROUND: Patients with adrenal insufficiency (AI) require life-long glucocorticoid (GC) replacement therapy. Within tissues, cortisol (F) availability is under the control of the isozymes of 11β-hydroxysteroid dehydrogenase (11β-HSD). We hypothesize that corticosteroid metabolism is altered in patients with AI due to the non-physiological pattern of current immediate release hydrocortisone (IR-HC) replacement therapy. The use of once-daily dual-release hydrocortisone (DR-HC) preparation, (Plenadren®), offers a more physiological cortisol profile and may alter corticosteroid metabolism in vivo.STUDY DESIGN AND METHODS: Prospective cross-over study assessing the impact of 12 weeks of DR-HC on systemic GC metabolism (urinary steroid metabolome profiling) and cortisol activation in the liver (cortisone acetate challenge test) and subcutaneous adipose tissue (microdialysis, biopsy for gene expression analysis) in 51 patients with AI (primary and secondary) in comparison to IR-HC treatment and age-and BMI-matched controls.RESULTS: Patients with AI receiving IR-HC had a higher median 24-hour urinary excretion of cortisol compared to healthy controls [72.1 µg/24 hrs (IQR 43.6-124.2) vs 51.9 µg/24 hrs (35.5-72.3), p = 0.02], with lower global activity of 11β-HSD2 and higher 5-alpha reductase activity. Following the switch from IR-HC to DR-HC therapy, there was a significant reduction in urinary cortisol and total GC metabolite excretion, which was most significant in the evening. There was an increase in 11β-HSD2 activity. Hepatic 11β-HSD1 activity was not significantly altered after switching to DR-HC, but there was a significant reduction in the expression and activity of 11β-HSD1 in subcutaneous adipose tissue.CONCLUSION: Using comprehensive in-vivo techniques, we have demonstrated abnormalities in corticosteroid metabolism in patients with primary and secondary AI receiving IR-HC. This dysregulation of pre-receptor glucocorticoid metabolism results in enhanced glucocorticoid activation in adipose tissue, which was ameliorated by treatment with DR-HC.PMID:37339332 | DOI:10.1210/clinem/dgad370

J Proteome Res. 2023 Jun 20. doi: 10.1021/acs.jproteome.2c00845. Online ahead of print.ABSTRACTLeishmania donovani infection of macrophages drives profound changes in the metabolism of both the host macrophage and the parasite, which undergoes different phases of development culminating in replication and propagation. However, the dynamics of this parasite-macrophage cometabolome are poorly understood. In this study, a multiplatform metabolomics pipeline combining untargeted, high-resolution CE-TOF/MS and LC-QTOF/MS with targeted LC-QqQ/MS was followed to characterize the metabolome alterations induced in L. donovani-infected human monocyte-derived macrophages from different donors at 12, 36, and 72 h post-infection. The set of alterations known to occur during Leishmania infection of macrophages, substantially expanded in this investigation, characterized the dynamics of the glycerophospholipid, sphingolipid, purine, pentose phosphate, glycolytic, TCA, and amino acid metabolism. Our results showed that only citrulline, arginine, and glutamine exhibited constant trends across all studied infection time points, while most metabolite alterations underwent a partial recovery during amastigote maturation. We determined a major metabolite response pointing to an early induction of sphingomyelinase and phospholipase activities and correlated with amino acid depletion. These data represent a comprehensive overview of the metabolome alterations occurring during promastigote-to-amastigote differentiation and maturation of L. donovani inside macrophages that contributes to our understanding of the relationship between L. donovani pathogenesis and metabolic dysregulation.PMID:37339249 | DOI:10.1021/acs.jproteome.2c00845

Sci Signal. 2023 Jun 20;16(790):eadf1947. doi: 10.1126/scisignal.adf1947. Epub 2023 Jun 20.ABSTRACTTransforming growth factor-β (TGF-β) signaling is a critical driver of epithelial-to-mesenchymal transition (EMT) and cancer progression. In SMAD-dependent TGF-β signaling, activation of the TGF-β receptor complex stimulates the phosphorylation of the intracellular receptor-associated SMADs (SMAD2 and SMAD3), which translocate to the nucleus to promote target gene expression. SMAD7 inhibits signaling through the pathway by promoting the polyubiquitination of the TGF-β type I receptor (TβRI). We identified an unannotated nuclear long noncoding RNA (lncRNA) that we designated LETS1 (lncRNA enforcing TGF-β signaling 1) that was not only increased but also perpetuated by TGF-β signaling. Loss of LETS1 attenuated TGF-β-induced EMT and migration in breast and lung cancer cells in vitro and extravasation of the cells in a zebrafish xenograft model. LETS1 potentiated TGF-β-SMAD signaling by stabilizing cell surface TβRI, thereby forming a positive feedback loop. Specifically, LETS1 inhibited TβRI polyubiquitination by binding to nuclear factor of activated T cells (NFAT5) and inducing the expression of the gene encoding the orphan nuclear receptor 4A1 (NR4A1), a component of a destruction complex for SMAD7. Overall, our findings characterize LETS1 as an EMT-promoting lncRNA that potentiates signaling through TGF-β receptor complexes.PMID:37339182 | DOI:10.1126/scisignal.adf1947

Curr Opin Neurol. 2023 Jun 20. doi: 10.1097/WCO.0000000000001164. Online ahead of print.ABSTRACTPURPOSE OF THE REVIEW: Amyotrophic lateral sclerosis (ALS) is an adult-onset neurodegenerative disease of the motor system due to the selective and progressive degeneration of both upper and lower motor neurons. Disturbances in energy homeostasis were repeatedly associated with the ALS pathogenesis and appear early during the disease process. In this review, we highlight recent work demonstrating the crucial role of energy metabolism in ALS and discuss its potential clinical relevance.RECENT FINDINGS: The alteration of various metabolic pathways contributes to the heterogeneity of the clinical phenotype of ALS. Recent work showed that different ALS mutations selectively impact these pathways and translate to the disease phenotypes in patients and disease models. Strikingly, a growing number of studies point towards an early, even presymptomatic, contribution of abnormal energy homeostasis to the ALS pathogenesis. Advances in metabolomics generated valuable tools to study altered metabolic pathways, to test their therapeutic potential, and to develop personalized medicine. Importantly, recent preclinical studies and clinical trials demonstrated that targeting energy metabolism is a promising therapeutic approach.SUMMARY: Abnormal energy metabolism is a key player in ALS pathogenesis, emerging as a source of potential disease biomarkers and therapeutic targets.PMID:37338894 | DOI:10.1097/WCO.0000000000001164

Metabolomics. 2023 Jun 20;19(7):59. doi: 10.1007/s11306-023-02021-x.ABSTRACTINTRODUCTION: Cervical artificial insemination (AI) with frozen-thawed semen in sheep has yielded unacceptably low pregnancy rates. The exception is in Norway where vaginal AI yields non-return rates in excess of 60%, which has been attributed to the ewe breed used.OBJECTIVES AND METHODS: This study aimed to characterise, for the first time, the ovine follicular phase cervical mucus metabolome, with a focus on the amino acid profile. Cervical mucus was collected from four European ewe breeds with known differences in pregnancy rates following cervical AI with frozen-thawed semen. These were Suffolk (low fertility), Belclare (medium fertility), Norwegian White Sheep (NWS) and Fur (both high fertility).RESULTS: A total of 689 metabolites were identified in the cervical mucus of all the four ewe breeds. Of these, 458 metabolites were altered by ewe breed, which had the greatest effect in the dataset (P < 0.05). We detected 194 metabolites involved in the amino acid pathway, of which 133, 56 and 63 were affected by ewe breed, type of cycle and their interaction, respectively (P < 0.05). N-methylhydantoin and N-carbamoylsarcosine (degradation products of creatinine pathway) exhibited the greatest fold change decrease in the Suffolk breed compared to Fur and NWS (P < 0.001). Oxidized metabolites were also decreased in Suffolk compared to high fertility breeds (P < 0.05). In contrast, other metabolites such as 3-indoxyl-sulfate, putrescine, cadaverine were significantly increased in Suffolk at the synchronised cycle.CONCLUSION: The suboptimal amino acid profile in the cervical mucus of the low fertility Suffolk breed may have negative consequences for sperm transport.PMID:37338596 | DOI:10.1007/s11306-023-02021-x

Eur Radiol. 2023 Jun 20. doi: 10.1007/s00330-023-09827-2. Online ahead of print.ABSTRACTOBJECTIVES: To use convolutional neural network for fully automated segmentation and radiomics features extraction of hypopharyngeal cancer (HPC) tumor in MRI.METHODS: MR images were collected from 222 HPC patients, among them 178 patients were used for training, and another 44 patients were recruited for testing. U-Net and DeepLab V3 + architectures were used for training the models. The model performance was evaluated using the dice similarity coefficient (DSC), Jaccard index, and average surface distance. The reliability of radiomics parameters of the tumor extracted by the models was assessed using intraclass correlation coefficient (ICC).RESULTS: The predicted tumor volumes by DeepLab V3 + model and U-Net model were highly correlated with those delineated manually (p < 0.001). The DSC of DeepLab V3 + model was significantly higher than that of U-Net model (0.77 vs 0.75, p < 0.05), particularly in those small tumor volumes of < 10 cm3 (0.74 vs 0.70, p < 0.001). For radiomics extraction of the first-order features, both models exhibited high agreement (ICC: 0.71-0.91) with manual delineation. The radiomics extracted by DeepLab V3 + model had significantly higher ICCs than those extracted by U-Net model for 7 of 19 first-order features and for 8 of 17 shape-based features (p < 0.05).CONCLUSION: Both DeepLab V3 + and U-Net models produced reasonable results in automated segmentation and radiomic features extraction of HPC on MR images, whereas DeepLab V3 + had a better performance than U-Net.CLINICAL RELEVANCE STATEMENT: The deep learning model, DeepLab V3 + , exhibited promising performance in automated tumor segmentation and radiomics extraction for hypopharyngeal cancer on MRI. This approach holds great potential for enhancing the radiotherapy workflow and facilitating prediction of treatment outcomes.KEY POINTS: • DeepLab V3 + and U-Net models produced reasonable results in automated segmentation and radiomic features extraction of HPC on MR images. • DeepLab V3 + model was more accurate than U-Net in automated segmentation, especially on small tumors. • DeepLab V3 + exhibited higher agreement for about half of the first-order and shape-based radiomics features than U-Net.PMID:37338554 | DOI:10.1007/s00330-023-09827-2

Plant Physiol. 2023 Jun 20:kiad357. doi: 10.1093/plphys/kiad357. Online ahead of print.ABSTRACTSingle-cell metabolomics is a powerful tool that can reveal cellular heterogeneity and can elucidate the mechanisms of biological phenomena in detail. It is a promising approach in studying plants, especially when cellular heterogeneity has an impact on different biological processes. In addition, metabolomics, which can be regarded as a detailed phenotypic analysis, is expected to answer previously unanswered questions which will lead to expansion of crop production, increased understanding of resistance to diseases, and in other applications as well. In this review, we will introduce the flow of sample acquisition, and single-cell metabolomics techniques to facilitate the adoption of single-cell metabolomics. Furthermore, the applications of single cell metabolomics will be summarized and reviewed.PMID:37338502 | DOI:10.1093/plphys/kiad357

Eur J Mass Spectrom (Chichester). 2023 Jun 20:14690667231179565. doi: 10.1177/14690667231179565. Online ahead of print.ABSTRACTThe objective of this study is to gain insights into the underlying metabolic transformations that occurred during the whole progression of cecal ligation and puncture (CLP)-induced sepsis, thus providing new targets for its treatment. High-performance liquid chromatography of quadrupole time of flight mass spectrometry (HPLC-Q-TOF-MS/MS) combined with multivariate statistical techniques was used to detect the s in serum from septic mice. Fifty male mice were divided into two groups, including the sham group (n = 7) and the CLP-induced sepsis group (n = 43). Animals were sacrificed at 1, 3, 5, and 7 days post-CLP and then serum were collected for metabolomic analysis. Multivariate regression analysis was carried out through MetaboAnalyst 5.0, including principal component analysis (PCA) and partial least squares discriminant analysis (PLS-DA), to identify the s and screen out the related differential metabolites. Besides, the KEGG pathway analysis was used to analyze the related metabolic pathways in which the identified metabolites were involved. Based on the fold change (FC > 2.0 or <0.5), variable important in projection (VIP > 1.2), and P value (P < 0.05), we found 26, 17, 21, and 17 metabolites in septic mice at 1, 3, 5, and 7 days post-CLP, respectively, compared with that of the sham group. The PCA and PLS-DA pattern recognition showed a cluster-type distribution between the sham group and the CLP group. Dysregulated amino acid metabolism, as well as disturbed nucleotide metabolism, is observed. Several important metabolic pathways were identified between the sham group and the CLP group. Among them, phenylalanine metabolism, phenylalanine, tyrosine, and tryptophan biosynthesis showed striking at day 1 post-CLP. At day 3, phenylalanine, tyrosine, and tryptophan biosynthesis changed significantly. However, as the disease process, only pyrimidine metabolism showed the most significant alternation, compared to the sham group. Several differential metabolites were identified in the CLP group compared with that of the sham group and they were presented with dynamic alternation at different time points post-CLP, indicating metabolic disturbance occurred throughout the whole sepsis progression.PMID:37338428 | DOI:10.1177/14690667231179565