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Early hypotony after non-valved glaucoma drainage device (GDD) implantation for complex glaucomatous eyes with labile aqueous production can lead to significant visual morbidity. We therefore sought to report the early post-operative outcomes of a novel surgical technique that allows atraumatic insertion of non-valved GDDs through a much smaller 25-gauge scleral track, to minimise entry site leakage and improve safety.Retrospective case series of fifteen consecutive cases undergoing non-valved GDD insertion into the anterior chamber using a previously unreported technique.All eyes underwent successful GDD insertion using our novel technique, with no intra-operative complications. Mean intraocular pressures (IOP) pre-operatively, at day 1, week 1 and week 3 were 31.4, 22.4, 23.7 and 25.6 mmHg respectively. A statistically significant IOP reduction was achieved at day 1, week 1 and week 3 post-operatively (P0.05) without any observed leakage at the scleral entry site. One eye (6.7%) with complex panuveitic glaucoma developed early hypotony (5 mmHg) with shallow choroidal detachments on day 1. This was successfully managed with one intracameral ophthalmic viscoelastic device injection given at the slit-lamp and no further intervention.This novel single needle-docking intra-ocular insertion manoeuvre is an easily adoptable technique to make GDD insertion through a smaller 25-gauge water-tight scleral track more efficient and less traumatic. The technique reduces scleral distortion and therefore improves surgical safety particularly in eyes with complex secondary glaucoma.

Background During biological aging, significant metabolic dysregulation in the central nervous system may lead to cognitive decline and neurodegeneration. However, the metabolomics of the aging process in cerebrospinal fluid (CSF) has not been thoroughly explored. Methods In this cohort study of CSF metabolomics using liquid chromatography-mass spectrometry (LC–MS), fasting CSF samples collected from 92 cognitively unimpaired adults aged 20–87 years without obesity or diabetes were analyzed. Results We identified 37 metabolites in these CSF samples with significant positive correlations with aging, including cysteine, pantothenic acid, 5-hydroxyindoleacetic acid (5-HIAA), aspartic acid, and glutamate; and two metabolites with negative correlations, asparagine and glycerophosphocholine. The combined alterations of asparagine, cysteine, glycerophosphocholine, pantothenic acid, sucrose, and 5-HIAA showed a superior correlation with aging (AUC = 0.982). These age-correlated changes in CSF metabolites might reflect blood–brain barrier breakdown, neuroinflammation, and mitochondrial dysfunction in the aging brain. We also found sex differences in CSF metabolites with higher levels of taurine and 5-HIAA in women using propensity-matched comparison. Conclusions Our LC–MS metabolomics of the aging process in a Taiwanese population revealed several significantly altered CSF metabolites during aging and between the sexes. These metabolic alterations in CSF might provide clues for healthy brain aging and deserve further exploration.

Various groups of antihypertensive drugs targeting different pathways have been developed; however, the pharmacometabolic responses to these drugs have rarely been compared to elucidate the common pathway of blood pressure regulation. Here, we performed a comparative multi-dimensional pharmacometabolic study on the four major lines of antihypertensive drugs, namely angiotensin-converting enzyme inhibitors (ACEis), angiotensin receptor blockers (ARBs), calcium channel blockers (CCBs), and diuretics (DIURs), through ultra-performance liquid chromatography coupled to quantum time-of-flight mass spectrometry. Two hundred fifty patients with young-onset hypertension, who were equally divided among five study groups: non-medicated, ACEi, ARB, CCB, and DIUR groups, were recruited. In a metabolome-wide association study conducted through analysis of covariance, 37 molecular features significantly associated with pharmacometabolic responses to antihypertensive drugs were identified. One-third of these features were shared by multiple medications. ACEis, ARBs, and DIURs shared more features than CCB, partially reflecting that ACEis, ARBs, and DIURs affect the renin-angiotensin-aldosterone system. Thirteen molecular features were consistently identified by all four models of the analysis of covariance. A tandem mass spectrometry (or MS/MS) experiment was performed to decipher the chemical structure of these 13 molecular features, including ARB-associated lysophosphatidylcholine (P4135), CCB-associated diacylglycerol(15:0/18:2) (P1175), and DIUR-associated oleamide (P1516). In addition, diacylglycerol(15:0/14:2) (P408) was significantly associated with the pharmacometabolic response to all four antihypertensive drugs. The identified metabolites provide insights into the mechanisms of blood pressure regulation and potential predictive markers of pharmacometabolic responses to antihypertensive drugs.

PurposeThis paper aims to compare different univariate forecasting methods to provide a more accurate short-term forecasting model on the crude oil price for rendering a reference to manages.Design/methodology/approachSix different univariate methods, namely the classical decomposition model, the trigonometric regression model, the regression model with seasonal dummy variables, the grey forecast, the hybrid grey model and the seasonal autoregressive integrated moving average (SARIMA), have been used.FindingsThe authors found that the grey forecast is a reliable forecasting method for crude oil prices.Originality/valueThe contribution of this research study is using a small size of data and comparing the forecasting results of the six univariate methods. Three commonly used evaluation criteria, mean absolute error (MAE), root mean squared error (RMSE) and mean absolute percent error (MAPE), were adopted to evaluate the model performance. The outcome of this work can help predict the crude oil price.

Diabetic kidney disease is the leading cause of end-stage kidney disease worldwide; however, the integration of high-dimensional trans-omics data to predict this diabetic complication is rare. We develop artificial intelligence (AI)-assisted models using machine learning algorithms to identify a biomarker signature that predisposes high risk patients with diabetes mellitus (DM) to diabetic kidney disease based on clinical information, untargeted metabolomics, targeted lipidomics and genome-wide single nucleotide polymorphism (SNP) datasets. This involves 618 individuals who are split into training and testing cohorts of 557 and 61 subjects, respectively. Three models are developed. In model 1, the top 20 features selected by AI give an accuracy rate of 0.83 and an area under curve (AUC) of 0.89 when differentiating DM and non-DM individuals. In model 2, among DM patients, a biomarker signature of 10 AI-selected features gives an accuracy rate of 0.70 and an AUC of 0.76 when identifying subjects at high risk of renal impairment. In model 3, among non-DM patients, a biomarker signature of 25 AI-selected features gives an accuracy rate of 0.82 and an AUC of 0.76 when pinpointing subjects at high risk of chronic kidney disease. In addition, the performance of the three models is rigorously verified using an independent validation cohort. Intriguingly, analysis of the protein–protein interaction network of the genes containing the identified SNPs (RPTOR, CLPTM1L, ALDH1L1, LY6D, PCDH9, B3GNTL1, CDS1, ADCYAP and FAM53A) reveals that, at the molecular level, there seems to be interconnected factors that have an effect on the progression of renal impairment among DM patients. In conclusion, our findings reveal the potential of employing machine learning algorithms to augment traditional methods and our findings suggest what molecular mechanisms may underlie the complex interaction between DM and chronic kidney disease. Moreover, the development of our AI-assisted models will improve precision when diagnosing renal impairment in predisposed patients, both DM and non-DM. Finally, a large prospective cohort study is needed to validate the clinical utility and mechanistic implications of these biomarker signatures.

Three coordination complexes, [Cu(L1)(2,2–bipy)]2n·3nH2O (1), [Cu(L1)(2,2–bipy)2]·xH2O (2: x = 3.5 and 3: x = 5), were synthesized by reactions of the flexible ligand 1,1´-methylenebis(5-methyl-pyrazole-4-carboxylic acid) (H2L1) and coligands 2,2'–bipyridyl (2,2-bipy) with Cu(OAc)2·H2O in different reaction condition, respectively. The structures of these complexes were established by elemental analysis, IR and single-crystal X-ray diffraction analysis. Complex 1 possessed a one-dimensional (1D) chainlike structure, (L1)2− group exhibited trans-configuration and coordinated to Cu(II) ions by carboxylate O atoms in µ2–k:O,O′; k:O′′′,O′′′ mode. In the similar subjectival structure of 2 and 3, (L1)2− anions also presented trans-configuration, but only one carboxylate group chelated to a Cu(II) ion, and the other carboxylate group remains free in a deprotonated form. The 1D chains in 1 were further assembled to a 3D supramolecular architecture via intermolecular C–H···O hydrogen bond. The mononuclear zwitterionic complexes 2 and 3 are further assembled into a 2D/3D supramolecular architecture by intermolecular hydrogen bonds and π···π interaction. The thermal and photoluminescent properties of 1–3 in the solid state have also been investigated.

Background Laparoscopic liver resections (LLR) have been shown a treatment approach comparable to open liver resections (OLR) in hepatocellular carcinoma (HCC). However, the influence of procedural type on body composition has not been investigated. The aim of the current study was to compare the degree of skeletal muscle loss between LLR and OLR for HCC. Methods By using propensity score matching (PSM) analysis, 64 pairs of patients were enrolled. The change of psoas muscle index (PMI) after the operation was compared between the matched patients in the LLR and OLR. Risk factors for significant muscle loss (defined as change in PMI > mean change minus one standard deviation) were further investigated by multivariate analysis. Results Among patients enrolled, there was no significant difference in baseline characteristics between the two groups. The PMI was significantly decreased in the OLR group (P = 0.003). There were also more patients in the OLR group who developed significant muscle loss after the operations (P = 0.008). Multivariate analysis revealed OLR (P = 0.023), type 2 diabetes mellitus, indocyanine green retention rate at 15 min (ICG-15) > 10%, and cancer stage ≧ 3 were independent risk factors for significant muscle loss. In addition, significant muscle loss was associated with early HCC recurrence (P = 0.006). Metabolomic analysis demonstrated that the urea cycle may be decreased in patients with significant muscle loss. Conclusion LLR for HCC was associated with less significant muscle loss than OLR. Since significant muscle loss was a predictive factor for early tumor recurrence and associated with impaired liver metabolism, LLR may subsequently result in a more favorable outcome.

Our previous clinical trial showed that a novel concentrated herbal extract formula, YH1 (Rhizoma coptidis and Shen-Ling-Bai-Zhu-San), improved blood glucose and lipid control. This pilot observational study investigated whether YH1 affects microbiota, plasma, and fecal bile acid (BA) compositions in ten untreated male patients with type 2 diabetes (T2D), hyperlipidemia, and a body mass index ≥ 23 kg/m2. Stool and plasma samples were collected for microbiome, BA, and biochemical analyses before and after 4 weeks of YH1 therapy. As previous studies found, the glycated albumin, 2-h postprandial glucose, triglycerides, total cholesterol, and low-density lipoprotein cholesterol levels were significantly improved after YH1 treatment. Gut microbiota revealed an increased abundance of the short-chain fatty acid-producing bacteria Anaerostipes and Escherichia/Shigella. Furthermore, YH1 inhibited specific phylotypes of bile salt hydrolase-expressing bacteria, including Parabacteroides, Bifidobacterium, and Bacteroides caccae. Stool tauro-conjugated BA levels increased after YH1 treatment. Plasma total BAs and 7α-hydroxy-4-cholesten-3-one (C4), a BA synthesis indicator, were elevated. The reduced deconjugation of BAs and increased plasma conjugated BAs, especially tauro-conjugated BAs, led to a decreased glyco- to tauro-conjugated BA ratio and reduced unconjugated secondary BAs. These results suggest that YH1 ameliorates T2D and hyperlipidemia by modulating microbiota constituents that alter fecal and plasma BA compositions and promote liver cholesterol-to-BA conversion and glucose homeostasis.

Background: The sino atrial node (SAN) is characterized by the microenvironment of pacemaker cardiomyocytes (PCs) encased with fibroblasts. An altered microenvironment leads to rhythm failure. Operable cell or tissue models are either generally lacking or difficult to handle. The biological process behind the milieu of SANs to evoke pacemaker rhythm is unknown. We explored how fibroblasts interact with PCs and regulate metabolic reprogramming and rhythmic activity in the SAN. Methods: Tbx18 (T-box transcription factor 18)-induced PCs and fibroblasts were used for cocultures and engineered tissues, which were used as the in vitro models to explore how fibroblasts regulate the functional integrity of SANs. RNA-sequencing, metabolomics, and cellular and molecular techniques were applied to characterize the molecular signals underlying metabolic reprogramming and identify its critical regulators. These pathways were further validated in vivo in rodents and induced human pluripotent stem cell-derived cardiomyocytes. Results: We observed that rhythmicity in Tbx18-induced PCs was regulated by aerobic glycolysis. Fibroblasts critically activated metabolic reprogramming and aerobic glycolysis within PCs, and, therefore, regulated pacemaker activity in PCs. The metabolic reprogramming was attributed to the exclusive induction of Aldoc (aldolase c) within PCs after fibroblast-PC integration. Fibroblasts activated the integrin-dependent mitogen-activated protein kinase-E2F1 signal through cell-cell contact and turned on Aldoc expression in PCs. Interruption of fibroblast-PC interaction or Aldoc knockdown nullified electrical activity. Engineered Tbx18-PC tissue sheets were generated to recapitulate the microenvironment within SANs. Aldoc-driven rhythmic machinery could be replicated within tissue sheets. Similar machinery was faithfully validated in de novo PCs of adult mice and rats, and in human PCs derived from induced pluripotent stem cells. Conclusions: Fibroblasts drive Aldoc-mediated metabolic reprogramming and rhythmic regulation in SANs. This work details the cellular machinery behind the complex milieu of vertebrate SANs and opens a new direction for future therapy.

Derangements in cardiac energy metabolism have been shown to contribute to the development of heart failure (HF). This study combined transcriptomics and metabolomics analyses to characterize the changes and reversibility of cardiac energetics in a rat model of cardiac volume overload (VO) with the creation and subsequent closure of aortocaval fistula. Male Sprague–Dawley rats subjected to an aortocaval fistula surgery for 8 and 16 weeks exhibited characteristics of compensated hypertrophy (CH) and HF, respectively, in echocardiographic and hemodynamic studies. Glycolysis was downregulated and directed to the hexosamine biosynthetic pathway (HBP) and O-linked-N-acetylglucosaminylation in the CH phase and was further suppressed during progression to HF. Derangements in fatty acid oxidation were not prominent until the development of HF, as indicated by the accumulation of acylcarnitines. The gene expression and intermediates of the tricarboxylic acid cycle were not significantly altered in this model. Correction of VO largely reversed the differential expression of genes involved in glycolysis, HBP, and fatty acid oxidation in CH but not in HF. Delayed correction of VO in HF resulted in incomplete recovery of defective glycolysis and fatty acid oxidation. These findings may provide insight into the development of innovative strategies to prevent or reverse metabolic derangements in VO-induced HF.

Glucose-6-phosphate dehydrogenase (G6PD) is the first and rate-limiting enzyme in pentose phosphate pathway (PPP), excessive activation of which has been considered to be involved in tumorigenesis. Here, we show that tyrosine kinase c-Src interacts with and phosphorylates G6PD at Tyr 112. This phosphorylation enhances catalytic activity of G6PD by dramatically decreasing its Km value and increasing its Kcat value for substrate glucose-6-phosphate. Activated G6PD therefore augments the PPP flux for NADPH and ribose-5-phosphate production which is required for detoxification of intracellular reactive oxygen species (ROS) and biosynthesis of cancer cells, and eventually contributes to tumorigenesis. Consistently, c-Src activation is closely correlated with tyrosine phosphorylation and activity of G6PD in clinical colorectal cancer samples. We thus uncover another aspect of c-Src in promoting cell proliferation and tumorigenesis, deepening our understanding of c-Src as a proto-oncogene.

The major oxidized product of cholesterol, 7-Ketocholesterol (7KCh), causes cellular oxidative damage. In the present study, we investigated the physiological responses of cardiomyocytes to 7KCh. A 7KCh treatment inhibited the growth of cardiac cells and their mitochondrial oxygen consumption. It was accompanied by a compensatory increase in mitochondrial mass and adaptive metabolic remodeling. The application of [U-13C] glucose labeling revealed an increased production of malonyl-CoA but a decreased formation of hydroxymethylglutaryl-coenzyme A (HMG-CoA) in the 7KCh-treated cells. The flux of the tricarboxylic acid (TCA) cycle decreased, while that of anaplerotic reaction increased, suggesting a net conversion of pyruvate to malonyl-CoA. The accumulation of malonyl-CoA inhibited the carnitine palmitoyltransferase-1 (CPT-1) activity, probably accounting for the 7-KCh-induced suppression of β-oxidation. We further examined the physiological roles of malonyl-CoA accumulation. Treatment with the inhibitor of malonyl-CoA decarboxylase, which increased the intracellular malonyl-CoA level, mitigated the growth inhibitory effect of 7KCh, whereas the treatment with the inhibitor of acetyl-CoA carboxylase, which reduced malonyl-CoA content, aggravated such a growth inhibitory effect. Knockout of malonyl-CoA decarboxylase gene (Mlycd−/−) alleviated the growth inhibitory effect of 7KCh. It was accompanied by improvement of the mitochondrial functions. These findings suggest that the formation of malonyl-CoA may represent a compensatory cytoprotective mechanism to sustain the growth of 7KCh-treated cells.

Elevated phenylalanine has been observed in patients with advanced heart failure (HF) and in community cohorts at risk of HF, and has been shown to have prognostic value. This study aimed to explore the factors associated with elevated phenylalanine in HF patients. Mass spectrometry was performed on blood from 669 participants, including 75 normal controls and 594 HF patients (stages A, B, and C). We measured phenylalanine and associated degradation products on the catecholamine pathway, C-reactive protein, valerylcarnitine, methionine sulfoxide, estimated glomerular filtration rate (eGFR), and B-type natriuretic peptide. Longitudinal analysis was conducted on 61 stage C HF patients who had recovered systolic function after 1 year. Phenylalanine and tyrosine levels increased from normal through stages A, B and C. Cross-sectional analysis in patients at stage C showed that phenylalanine levels were related to total bilirubin, eGFR, valerylcarnitine, methionine sulfoxide, C-reactive protein, and male gender. Longitudinal analysis in the patients at stage C with recovered systolic function after 1 year revealed that phenylalanine, tyrosine, methionine sulfoxide, total bilirubin, and C-reactive protein levels significantly decreased from baseline to 12 months. Based on a generalized estimating equations analysis model with time interaction considered, the only significant factor associated with changes in phenylalanine was changes in C-reactive protein concentrations from baseline to 12 months [B (coefficient) = 0.81, P

Renal leptospirosis caused by leptospiral infection is characterised by tubulointerstitial nephritis and tubular dysfunction, resulting in acute and chronic kidney injury. Metabolomic and transcriptomic data from a murine model of

Background Acute respiratory distress syndrome (ARDS) involves dysregulated immune-inflammatory responses following direct or indirect injury, characterized by severe hypoxemia respiratory failure and high mortality. At present, no conclusive diagnostic, predictive, or prognostic biomarkers have been developed for ARDS. Metabolites modulating inflammatory and immune responses may play a central role in the pathogenesis of ARDS. The aim of this study is to investigate the role of metabolic signatures in the clinical outcomes of patients with ARDS. Methods We conducted a prospective metabolomics study of 69 patients with ARDS. Metabolic profiling (on serum and urine) was performed and clinical variables were collected for analysis at day 1, day 3, and day 7 after ARDS onset. We also recruited 30 healthy control subjects (i.e., without significant comorbidities). Results Among the 69 ARDS patients, overall hospital mortality was 52.2%. Between day 1 and day 7 after ARDS onset, plasma kynurenine levels and the kynurenine/tryptophan ratio were significantly higher among nonsurvivors than among survivors (all p p = 0.017 and adjusted HR = 1.761 [95% CI 1.204–2.576], p = 0.004, respectively). The 90-day hospital mortality of patients with high kynurenine levels (> 15.12 µM) at ARDS onset was significantly higher than that of patients with low kynurenine levels ( ≦ 15.12 µM) (66.7% vs. 25%, p = 0.003; log-rank test). Conclusion Activation of the kynurenine pathway was associated with mortality in patients with ARDS. Metabolic phenotypes and modulating metabolic perturbations of the kynurenine pathway could perhaps serve as prognostic markers or as a target for therapeutic interventions aimed at reducing morbidity and mortality in cases of ARDS.

A highly efficient asymmetric Michael addition of bulky glycine imine to α,β-unsaturated isoxazoles has been achieved by using 5 mol% of chiral cyclopropenimine as a chiral organo-superbase catalyst under mild conditions. Michael adducts were obtained in excellent yields (up to 97%) and stereoselectivities (up to99 : 1 dr and 98% ee). A significant solvent effect was found in these chiral organosuperbase catalyzed asymmetric Michael reactions. Gram-scale preparation of Michael adducts and their transformations are realized to provide corresponding products without loss of stereoselectivities. The configurations of Michael adduct was determined by single-crystal X-ray diffraction analysis.

BACKGROUND There remains an unmet need in objective tests for diagnosing asthma in children. The objective of this study was to investigate the potential of metabolomic profiles of exhaled breath condensate (EBC) to discriminate stable asthma in Asian children in the community. METHODS One hundred and sixty-five Asian children (92 stable asthma and 73 non-asthmatic controls) participating in a population-based cohort were enrolled and divided into training and validation sets. Nuclear magnetic resonance-based metabolomic profiles of EBC samples were analyzed by using orthogonal partial least squares discriminant analysis. RESULTS EBC metabolomic signature (lactate, formate, butyrate, and isobutyrate) had an area under the receiver operator characteristic curve (AUC) of 0.826 in discriminating children with and without asthma in the training set, which significantly outperformed FeNO (AUC = 0.574; P

A new Cu(II) pyrazoledicarboxylate coordination polymer [Cu(Hpdc)(ImH)]n (1) (H3pdc = 3,4-pyrazoledicarboxylic acid; ImH = imidazole) has been hydrothermally synthesized and characterized by elemental analysis, FT-IR, X-ray diffraction, and thermogravimetric analysis. In 1, the tetradentate Hpdc2− anion coordinated to three Cu(II) ions in a μ3-κO: κN, O′: κN′ mode, forming a two-dimensional (2D) (4,4) network; the other ImH ligand acted as a terminal ligand. Cu(II)-MOF 1 displayed high activity and selectivity in the base-free aerobic oxidation of benzyl alcohol to benzaldehyde combined with the green oxidant H2O2. The catalytic system of 1 could be reused for several cycles without any obvious decay of the catalytic efficiency.

Electroencephalography (EEG) can reveal the abnormalities of dopaminergic subcortico-cortical circuits in patients with Parkinson’s disease (PD). However, conventional time-frequency analysis of EEG signals cannot fully reveal the non-linear processes of neural activities and interactions. A novel Holo-Hilbert Spectral Analysis (HHSA) was applied to reveal non-linear features of resting state EEG in 99 PD patients and 59 healthy controls (HCs). PD patients demonstrated a reduction of β bands in frontal and central regions, and reduction of γ bands in central, parietal, and temporal regions. Compared with early-stage PD patients, late-stage PD patients demonstrated reduction of β bands in the posterior central region, and increased θ and δ2 bands in the left parietal region. θ and β bands in all brain regions were positively correlated with Hamilton depression rating scale scores. Machine learning algorithms using three prioritized HHSA features demonstrated “Bag” with the best accuracy of 0.90, followed by “LogitBoost” with an accuracy of 0.89. Our findings strengthen the application of HHSA to reveal high-dimensional frequency features in EEG signals of PD patients. The EEG characteristics extracted by HHSA are important markers for the identification of depression severity and diagnosis of PD.

Phosphatidylinositol (PI) 4,5-bisphosphate (PIP2) is involved in many biological functions. However, the mechanisms of PIP2 in collective cell migration remain elusive. This study highlights the regulatory role of cytidine triphosphate synthase (CTPsyn) in collective border cell migration through regulating the asymmetrical distribution of PIP2. We demonstrated that border cell clusters containing mutant CTPsyn cells suppressed migration. CTPsyn was co-enriched with Actin at the leading edge of the Drosophila border cell cluster where PIP2 was enriched, and this enrichment depended on the CTPsyn activity. Genetic interactions of border cell migration were found between CTPsyn mutant and genes in PI biosynthesis. The CTPsyn reduction resulted in loss of the asymmetric activity of endocytosis recycling. Also, genetic interactions were revealed between components of the exocyst complex and CTPsyn mutant, indicating that CTPsyn activity regulates the PIP2-related asymmetrical exocytosis activity. Furthermore, CTPsyn activity is essential for RTK-polarized distribution in the border cell cluster. We propose a model in which CTPsyn activity is required for the asymmetrical generation of PIP2 to enrich RTK signaling through endocytic recycling in collective cell migration.

Diabetic kidney disease (DKD) is the major cause of end stage renal disease in patients with type 2 diabetes mellitus (T2DM). The subtle metabolic changes in plasma and cerebrospinal fluid (CSF) might precede the development of DKD by years. In this longitudinal study, CSF and plasma samples were collected from 28 patients with T2DM and 25 controls, during spinal anesthesia for elective surgery in 2017. These samples were analyzed using liquid chromatography-mass spectrometry (LC-MS) in 2017, and the results were correlated with current DKD in 2017, and the development of new-onset DKD, in 2021. Comparing patients with T2DM having new-onset DKD with those without DKD, revealed significantly increased CSF tryptophan and plasma uric acid levels, whereas phosphatidylcholine 36:4 was lower. The altered metabolites in the current DKD cases were uric acid and paraxanthine in the CSF and uric acid, L-acetylcarnitine, bilirubin, and phosphatidylethanolamine 38:4 in the plasma. These metabolic alterations suggest the defective mitochondrial fatty acid oxidation and purine and phospholipid metabolism in patients with DKD. A correlation analysis found CSF uric acid had an independent positive association with the urine albumin-to-creatinine ratio. In conclusion, these identified CSF and plasma biomarkers of DKD in diabetic patients, might be valuable for monitoring the DKD progression.

Parkinson's disease (PD), the most common neurodegenerative motor disorder, is currently incurable. Although many studies have provided insights on the substantial influence of genetic factors on the occurrence and development of PD, the molecular mechanism underlying the disease is largely unclear. Previous studies have shown that point mutations in the phospholipase A2 group VI gene (PLA2G6) correlate with young-onset dystonia-parkinsonism type 14 (PARK14). However, limited information is available regarding the pathogenic role of this gene and the mechanism underlying its function. To study the role of PLA2G6 mutations, we first used zebrafish larvae to screen six PLA2G6 mutations and revealed that injection of D331Y, T572I, and R741Q mutation constructs induced phenotypes such as motility defects and reduction in dopaminergic neurons. The motility defects could be alleviated by treatment with L-3, 4-dihydroxyphenylalanine (L-dopa), indicating that these mutations are pathological for PARK14 symptoms. Furthermore, the injection of D331Y and T572I mutation constructs reduced phospholipase activity of PLA2G6 and its lipid metabolites, which confirmed that these two mutations are loss-of-function mutations. Metabolomic analysis revealed that D331Y or T572I mutation led to higher phospholipid and lower docosahexaenoic acid (DHA) levels, indicating that reduced DHA levels are pathological for defective motor functions. Further, a dietary DHA supplement relieved the motility defects in PLA2G6D331Y/D331Y knock-in mice. This result revealed that the D331Y mutation caused defective PLA2G6 phospholipase activity and consequently reduced the DHA level, which is the pathogenic factor responsible for PARK14. The results of this study will facilitate the development of therapeutic strategies for PARK14.

We have previously shown that GSH depletion alters global metabolism of cells. In the present study, we applied a metabolomic approach for studying the early changes in metabolism in hydrogen peroxide- (H2O2-) treated hepatoma cells which were destined to die. Levels of fructose 1,6-bisphosphate and an unusual metabolite, sedoheptulose 1,7-bisphosphate (S-1,7-BP), were elevated in hepatoma Hep G2 cells. Deficiency in G6PD activity significantly reduced S-1,7-BP formation, suggesting that S-1,7-BP is formed in the pentose phosphate pathway as a response to oxidative stress. Additionally, H2O2treatment significantly increased the level of nicotinamide adenine dinucleotide phosphate (NADP+) and reduced the levels of ATP and NAD+. Severe depletion of ATP and NAD+in H2O2-treated Hep G2 cells was associated with cell death. Inhibition of PARP-mediated NAD+depletion partially protected cells from death. Comparison of metabolite profiles of G6PD-deficient cells and their normal counterparts revealed that changes in GSH and GSSG per se do not cause cell death. These findings suggest that the failure of hepatoma cells to maintain energy metabolism in the midst of oxidative stress may cause cell death.

Nine autosomal dominant spinocerebellar ataxias (SCAs) are caused by an abnormal expansion of CAG trinucleotide repeats that encodes a polyglutamine (polyQ) tract within different genes. Accumulation of aggregated mutant proteins is a common feature of polyQ diseases, leading to progressive neuronal dysfunction and degeneration. SCA type 3 (SCA3), the most common form of SCA worldwide, is characterized by a CAG triplet expansion in chromosome 14q32.1 ATXN3 gene. As accumulation of the mutated polyQ protein is a possible initial event in the pathogenic cascade, clearance of aggregated protein by ubiquitin proteasome system (UPS) has been proposed to inhibit downstream detrimental events and suppress neuronal cell death. In this study, Chinese herbal medicine (CHM) extracts were studied for their proteasome-activating, polyQ aggregation-inhibitory and neuroprotective effects in GFPu and ATXN3/Q[Formula: see text]-GFP 293/SH-SY5Y cells. Among the 14 tested extracts, 8 displayed increased proteasome activity, which was confirmed by 20S proteasome activity assay and analysis of ubiquitinated and fused GFP proteins in GFPu cells. All the eight extracts displayed good aggregation-inhibitory potential when tested in ATXN3/Q[Formula: see text]-GFP 293 cells. Among them, neuroprotective effects of five selected extracts were shown by analyses of polyQ aggregation, neurite outgrowth, caspase 3 and proteasome activities, and ATXN3-GFP, ubiquitin, BCL2 and BAX protein levels in neuronal differentiated ATXN3/Q[Formula: see text]-GFP SH-SY5Y cells. Finally, enhanced proteasome function, anti-oxidative activity and neuroprotection of catalpol, puerarin and daidzein (active constituents of Rehmannia glutinosa and Pueraria lobata) were demonstrated in GFPu and/or ATXN3/Q[Formula: see text]-GFP 293/SH-SY5Y cells. This study may have therapeutic implication in polyQ-mediated disorders.

A DBU-catalyzed Michael additions of several pronucleophiles with high pK a values including bulky glycine imines, α-tetra-lone, 1-methyl-2-indolone and nitroalkanes to α,β-unsaturated isoxazoles and pyrazolamides have been realized in THF with 1.0 eq. LiBr as a additive at room temperature within 3 h to provide Michael adducts in excellent yields (up to 97%) and diastereoselectivities (> 20:1).

Rationale: The progression of prostate cancer (PCa) to castration-resistant PCa (CRPC) despite continuous androgen deprivation therapy is a major clinical challenge. Over 90% of patients with CRPC exhibit sustained androgen receptor (AR) signaling. KDM4B that removes the repressive mark H3K9me3/2 is a transcriptional activator of AR and has been implicated in the development of CRPC. However, the mechanisms of KDM4B involvement in CRPC remain largely unknown. Here, we sought to demonstrate the molecular pathway mediated by KDM4B in CRPC and to provide proof-of-concept evidence that KDM4B is a potential CRPC target. Methods: CRPC cells (C4-2B or CWR22Rv1) depleted with KDM4B followed by cell proliferation (in vitro and xenograft), microarray, qRT-PCR, Seahorse Flux, and metabolomic analyses were employed to identify the expression and metabolic profiles mediated by KDM4B. Immunoprecipitation was used to determine the KDM4B-c-Myc interaction region. Reporter activity assay and ChIP analysis were used to characterize the KDM4B-c-Myc complex-mediated mechanistic actions. The clinical relevance between KDM4B and c-Myc was determined using UCSC Xena analysis and immunohistochemistry. Results: We showed that KDM4B knockdown impaired CRPC proliferation, switched Warburg to OXPHOS metabolism, and suppressed gene expressions including those targeted by c-Myc. We further demonstrated that KDM4B physically interacted with c-Myc and they were co-recruited to the c-Myc-binding sequence on the promoters of metabolic genes (LDHA, ENO1, and PFK). Importantly, KDM4B and c-Myc synergistically promoted the transactivation of the LDHA promoter in a demethylase-dependent manner. We also provided evidence that KDM4B and c-Myc are co-expressed in PCa tissue and that high expression of both is associated with worse clinical outcome. Conclusions: KDM4B partners with c-Myc and serves as a coactivator of c-Myc to directly enhance c-Myc-mediated metabolism, hence promoting CRPC progression. Targeting KDM4B is thus an alternative therapeutic strategy for advanced prostate cancers driven by c-Myc and AR.

The antioxidant capacity of erythrocytes protects individuals against the harmful effects of oxidative stress. Despite improved hemodynamic efficiency, the effect of eccentric cycling training (ECT) on erythrocyte antioxidative capacity remains unclear. This study investigates how ECT affects erythrocyte antioxidative capacity and metabolism in sedentary males. Thirty-six sedentary healthy males were randomly assigned to either concentric cycling training (CCT, n = 12) or ECT (n = 12) at 60% of the maximal workload for 30 min/day, 5 days/week for 6 weeks or to a control group (n = 12) that did not receive an exercise intervention. A graded exercise test (GXT) was performed before and after the intervention. Erythrocyte metabolic characteristics and O2 release capacity were determined by UPLC-MS and high-resolution respirometry, respectively. An acute GXT depleted Glutathione (GSH), accumulated Glutathione disulfide (GSSG), and elevated the GSSG/GSH ratio, whereas both CCT and ECT attenuated the extent of the elevated GSSG/GSH ratio caused by a GXT. Moreover, the two exercise regimens upregulated glycolysis and increased glucose consumption and lactate production, leading to intracellular acidosis and facilitation of O2 release from erythrocytes. Both CCT and ECT enhance antioxidative capacity against severe exercise-evoked circulatory oxidative stress. Moreover, the two exercise regimens activate erythrocyte glycolysis, resulting in lowered intracellular pH and enhanced O2 released from erythrocytes.

Rationale: One of the most common metabolic defects in cancers is the deficiency in arginine synthesis, which has been exploited therapeutically. Yet, challenges remain, and the mechanisms of arginine-starvation induced killing are largely unclear. Here, we sought to demonstrate the underlying mechanisms by which arginine starvation-induced cell death and to develop a dietary arginine-restriction xenograft model to study the in vivo effects. Methods: Multiple castration-resistant prostate cancer cell lines were treated with arginine starvation followed by comprehensive analysis of microarray, RNA-seq and ChIP-seq were to identify the molecular and epigenetic pathways affected by arginine starvation. Metabolomics and Seahorse Flux analyses were used to determine the metabolic profiles. A dietary arginine-restriction xenograft mouse model was developed to assess the effects of arginine starvation on tumor growth and inflammatory responses. Results: We showed that arginine starvation coordinately and epigenetically suppressed gene expressions, including those involved in oxidative phosphorylation and DNA repair, resulting in DNA damage, chromatin-leakage and cGAS-STING activation, accompanied by the upregulation of type I interferon response. We further demonstrated that arginine starvation-caused depletion of α-ketoglutarate and inactivation of histone demethylases are the underlying causes of epigenetic silencing. Significantly, our dietary arginine-restriction model showed that arginine starvation suppressed prostate cancer growth in vivo, with evidence of enhanced interferon responses and recruitment of immune cells. Conclusions: Arginine-starvation induces tumor cell killing by metabolite depletion and epigenetic silencing of metabolic genes, leading to DNA damage and chromatin leakage. The resulting cGAS-STING activation may further enhance these killing effects.

Background: Parkinson’s disease (PD) is the most common neurodegenerative motor disorder, which is currently incurable. Mutations in many genes have been demonstrated to be the primary risk factors associated with the familial or idiopathic PD; however, the mechanisms underlying these genetic mutations resulting in parkinsonism remains unclear. Phospholipase A2 group VI (PLA2G6) has been shown to regulate lipid metabolism and homeostasis in the nervous system. Previous studies have shown that point mutations in PLA2G6 might be the risk factors associated with the young–onset of dystonia–parkinsonism type 14 (PARK14). However, limited information is available regarding its pathogenic role and the mechanism underlying its function.

Glucose-6-phosphate dehydrogenase (G6PD) is the first and rate-limiting enzyme in pentose phosphate pathway (PPP), excessive activation of which has been considered to be involved in tumorigenesis. Here, we show that tyrosine kinase c-Src interacts with and phosphorylates G6PD at Tyr 112. This phosphorylation enhances catalytic activity of G6PD by dramatically decreasing its K

Early allograft dysfunction (EAD) is associated with graft failure and mortality after living donor liver transplantation (LDLT). In this study, we report biomarkers superior to other conventional clinical markers in the prediction of EAD and all-cause in-hospital mortality in LDLT patient cohort. Blood samples of living donor liver transplant recipients were collected on postoperative day 1 and analyzed by liquid chromatography coupled with mass spectrometry (LC-MS). Significant metabolites associated with the prediction of EAD were identified using orthogonal projection to latent structures-discriminant analysis (OPLS-DA). A few lipids, more specifically, lysoPC (16:0), PC (18:0/20:5), betaine and palmitic acid (C16:0) were found to effectively differentiate EAD from non-EAD on postoperative day 1. A combination of these four metabolites showed an AUC of 0.821, which was further improved to 0.846 by the addition of a clinical parameter, total bilirubin. The panel exhibits a high prognostic accuracy in prediction of all-cause in-hospital mortality and mortality within 7 postoperative days with AUCs of 0.843 and 0.954. These results show the combination of metabolomics-derived biomarkers and clinical parameters demonstrates the power of panels in diagnostic and prognostic evaluation of LDLT.

Background and purpose The pathogenesis of cardiomyopathy in metabolically unhealthy obesity (MUO) has been well studied. However, the pathogenesis of cardiomyopathy typically associated with high cholesterol levels in metabolically unhealthy nonobesity (MUNO) remains unclear. We investigated whether cholesterol-generated LysoPCs contribute to cardiomyopathy and the role of cytosolic phospholipase A2 (cPLA2) inhibitor in cholesterol-induced MUNO. Experimental approach Cholesterol diet was performed in Sprague–Dawley rats that were fed either regular chow (C), or high cholesterol chow (HC), or HC diet with 10 % fructose in drinking water (HCF) for 12 weeks. LysoPCs levels were subsequently measured in rats and in MUNO human patients. The effects of cholesterol-mediated LysoPCs on cardiac injury, and the action of cPLA2 inhibitor, AACOCF3, were further assessed in H9C2 cardiomyocytes. Key results HC and HCF rats fed cholesterol diets demonstrated a MUNO-phenotype and cholesterol-induced dilated cardiomyopathy (DCM). Upregulated levels of LysoPCs were found in rat myocardium and the plasma in MUNO human patients. Further testing in H9C2 cardiomyocytes revealed that cholesterol-induced atrophy and death of cardiomyocytes was due to mitochondrial dysfunction and conditions favoring DCM (i.e. reduced mRNA expression of ANF, BNP, DSP, and atrogin-1), and that AACOCF3 counteracted the cholesterol-induced DCM phenotype. Conclusion and implications Cholesterol-induced MUNO-DCM phenotype was counteracted by cPLA2 inhibitor, which is potentially useful for the treatment of LysoPCs-associated DCM in MUNO.

Aberrant metabolisms have been hypothesized to precede the occurrence of hepatocellular carcinoma (HCC), therefore, we investigated biomarkers associated with subsequent HCC in peripheral bloods using metabolomic technologies. A cohort of 475 HCC-naïve liver cirrhotic patients were recruited and prospectively followed. A total of 39 patients developed HCC in the follow-up period. Baseline plasma metabolites were explored using untargeted nuclear magnetic resonance. Candidates were then quantified by ultra-performance liquid chromatography. A series of univairiate and multivariate analysis showed that Phenylalanine (Phe) and Glutamine (Gln) levels are associated with time to HCC, independent of viological etiologies and age. A HCC risk score R was then constructed using the polynomial combination of age, Phe and Gln in the units of micromolar (μM):$$\begin{aligned} {\text{R }} & = {\text{ Age }}* \, \left( {0.0694} \right) + {\text{ Phe }}* \, \left( {0.3399} \right) + {\text{ Phe }^{2}}* \, \left( { - 0.00188154} \right) \hfill \\ & \quad + {\text{ Gln }}* \, \left( { - 0.0133} \right) + {\text{ Gln }^{2}}* \, \left( { \, 0.00002244} \right) \hfill \\ \end{aligned}$$ R = Age ∗ 0.0694 + Phe ∗ 0.3399 + Phe 2 ∗ - 0.00188154 + Gln ∗ - 0.0133 + Gln 2 ∗ 0.00002244 R correlates with the time to HCC significantly (Hazard ratio [HR] = 2.368, 95% confidence interval [CI] 1.760–3.187, P

Elevated phenylalanine has been observed in patients with advanced heart failure (HF) and in community cohorts at risk of HF, and has been shown to have prognostic value. This study aimed to explore the factors associated with elevated phenylalanine in HF patients. Mass spectrometry was performed on blood from 669 participants, including 75 normal controls and 594 HF patients (stages A, B, and C). We measured phenylalanine and associated degradation products on the catecholamine pathway, C-reactive protein, valerylcarnitine, methionine sulfoxide, estimated glomerular filtration rate (eGFR), and B-type natriuretic peptide. Longitudinal analysis was conducted on 61 stage C HF patients who had recovered systolic function after 1 year. Phenylalanine and tyrosine levels increased from normal through stages A, B and C. Cross-sectional analysis in patients at stage C showed that phenylalanine levels were related to total bilirubin, eGFR, valerylcarnitine, methionine sulfoxide, C-reactive protein, and male gender. Longitudinal analysis in the patients at stage C with recovered systolic function after 1 year revealed that phenylalanine, tyrosine, methionine sulfoxide, total bilirubin, and C-reactive protein levels significantly decreased from baseline to 12 months. Based on a generalized estimating equations analysis model with time interaction considered, the only significant factor associated with changes in phenylalanine was changes in C-reactive protein concentrations from baseline to 12 months [B (coefficient) = 0.81, P 0.001] after adjusting for methionine sulfoxide and total bilirubin levels. In conclusion, phenylalanine levels respond sensitively to HF improvement. Our findings suggest that inflammation plays a pivotal role in the elevation of phenylalanine levels in patients with HF.

Background: Parkinson’s disease (PD) is the most common neurodegenerative motor disorder, which is currently incurable. Mutations in many genes have been demonstrated to be the primary risk factors associated with the familial or idiopathic PD; however, the mechanisms underlying these genetic mutations resulting in parkinsonism remains unclear. Phospholipase A2 group VI (PLA2G6) has been shown to regulate lipid metabolism and homeostasis in the nervous system. Previous studies have shown that point mutations in PLA2G6 might be the risk factors associated with the young–onset of dystonia–parkinsonism type 14 (PARK14). However, limited information is available regarding its pathogenic role and the mechanism underlying its function. Methods: To study the role of PLA2G6 mutations in zebrafish PARK14 models, we injected different mutation constructs of human PLA2G6 genes and zebrafish pla2g6 deletion constructs in the zebrafish larvae. We analyzed the locomotion behavior, performed immunohistochemistry to examine the formation of dopaminergic neurons, and identified the defective metabolites affected by PLA2G6 mutations through metabolomics analysis. Results: Injection of human PLA2G6 mutations and zebrafish pla2g6 deletion constructs induced symptoms such as motility defects and reduced number of dopaminergic neurons, and these symptoms resembled those observed in PARK14. These phenotypes could be rescued by treatment with L-dopa. Furthermore, the injection of two PLA2G6 mutation constructs, D331Y and T572I, led to a decrease in the phospholipase activity of PLA2G6 and its lipid metabolites, indicating that these two mutations are the loss-of-function mutations. We further performed metabolomics analysis to identify which lipids are majorly affected by the overexpression of PLA2G6 and PLA2G6 mutants. We found that injecting D331Y or T572I mutation constructs led to higher phospholipid and lower DHA levels. Conclusions: D331Y and T572I injections in zebrafish were sufficient to create a PD phenotypes. In addition, D331Y and T572I are loss of function mutations and cause defective phospholipase activity and reduced the level of DHA. These results have helped us elucidate the role of PLA2G6 mutations in PARK14 and further led to a deeper understanding of the molecular mechanisms underlying PD. The results of this study may also facilitate the development of therapeutic strategies for PD.

The biomarkers of Parkinson’s disease (PD) remain to be investigated. This work aimed to identify blood biomarkers for PD using targeted metabolomics analysis. We quantified the plasma levels of 255 metabolites in 92 PD patients and 60 healthy controls (HC). PD patients were sub-grouped into early (Hoehn–Yahr stage ≤ 2, n = 72) and advanced (Hoehn–Yahr stage > 2, n = 20) stages. Fifty-nine phospholipids, 3 fatty acids, 3 amino acids, and 7 biogenic amines, demonstrated significant alterations in PD patients. Six of them, dihydro sphingomyelin (SM) 24:0, 22:0, 20:0, phosphatidylethanolamine-plasmalogen (PEp) 38:6, and phosphatidylcholine 38:5 and 36:6, demonstrated lowest levels in PD patients in the advanced stage, followed by those in the early stage and HC. By contrast, the level of ornithine was highest in PD patients at the advanced stage, followed by those at the early stage and HC. These biomarker candidates demonstrated significant correlations with scores of motor disability, cognitive dysfunction, depression, and quality of daily life. The support vector machine algorithm using α-synuclein, dihydro SM 24:0, and PEp 38:6 demonstrated good ability to separate PD from HC (AUC: 0.820). This metabolomic analysis demonstrates new plasma biomarker candidates for PD and supports their role in participating PD pathogenesis and monitoring disease progression.

AIM To explore the correlation of metabolomics profiles of gastric cancer (GC) with its chromosomal instability (CIN) status. METHODS Nineteen GC patients were classified as CIN and non-CIN type by The Cancer Genome Atlas Research Group system, based on 409 oncogenes and tumor suppressor genes sequenced. The aqueous metabolites of the GC tumor and its surrounding adjacent healthy tissues were identified through liquid chromatography-mass spectrometry. Groups were compared by defining variable importance in projection score of > 1.2, a fold change value or its reciprocal of > 1.2, and a P value of < 0.05 as a significant difference. RESULTS In total, twelve men and seven women were enrolled, with a median age of 66 years (range, 47-87 years). The numbers of gene alterations in the CIN GC group were significantly higher than those in the non-CIN GC (32-218 vs 2-17; P < 0.0005). Compared with the adjacent healthy tissues, GC tumors demonstrated significantly higher aspartic acid, citicoline, glutamic acid, oxidized glutathione, succinyladenosine, and uridine diphosphate-N-acetylglucosamine levels, but significantly lower butyrylcarnitine, glutathione hydroxyhexanoycarnitine, inosinic acid, isovalerylcarnitine, and threonine levels (all P < 0.05). CIN tumors contained significantly higher phosphocholine and uridine 5’-monophosphate levels but significantly lower beta-citryl-L-glutamic acid levels than did non-CIN tumors (all P < 0.05). CIN GC tumors demonstrated additional altered pathways involving alanine, aspartate, and glutamate metabolism, glyoxylate and dicarboxylate metabolism, histidine metabolism, and phenylalanine, tyrosine, and tryptophan biosynthesis. CONCLUSION Metabolomic profiles of GC tumors and the adjacent healthy tissue are distinct, and the CIN status is associated with downstream metabolic alterations in GC.

Background Several metabolites and altered metabolic pathways have been reported to be associated with asthma. However, longitudinal analysis of the dynamics of metabolites contributing to the development of asthma has not yet been fully clarified. Methods We sought to identify the metabolic mechanisms underlying asthma development in early childhood. Thirty children with asthma and paired healthy controls from a prospective birth cohort were enrolled. Time series analysis of urinary metabolites collected at ages 1, 2, 3, and 4 years was assessed using 1 H nuclear magnetic resonance (NMR) spectroscopy coupled with partial least squares discriminant analysis (PLS-DA). Metabolites identified were studied in relation to changes over time in a linear mixed model for repeated measures. Results A total of 172 urine samples collected from the enrolled children were analyzed. Urinary metabolomics identified four metabolites significantly associated with childhood asthma development, with longitudinal analysis. Among them, dimethylamine, a metabolite produced by intestinal bacteria, appeared to shift from higher to lower level during asthma development. A persistent lower level of 1-methylnicotinamide and allantoin was found in children with asthma, with a peak difference at age 3 years (P = .032 and P = .021, respectively). Furthermore, a significant inverse correlation was found between allantoin and house dust mite sensitization (Spearman's r = -.297 P = .035). Conclusions Longitudinal urinary metabolomic profiling provides a link of microbe-environment interactions in the development of childhood asthma. 1-Methylnicotinamide and allantoin may participate in allergic reactions in response to allergen exposure, potentially serving as specific biomarkers for asthma.

7-Ketocholesterol (7KCh) is a major oxidized cholesterol product abundant in lipoprotein deposits and atherosclerotic plaques. Our previous study has shown that 7KCh accumulates in erythrocytes of heart failure patients, and further investigation centered on how 7KCh may affect metabolism in cardiomyocytes. We applied metabolomics to study the metabolic changes in cardiac cell line HL-1 after treatment with 7KCh. Mevalonic acid (MVA) pathway-derived metabolites, such as farnesyl-pyrophosphate and geranylgeranyl-pyrophosphate, phospholipids, and triacylglycerols levels significantly declined, while the levels of lysophospholipids, such as lysophosphatidylcholines (lysoPCs) and lysophosphatidylethanolamines (lysoPEs), considerably increased in 7KCh-treated cells. Furthermore, the cholesterol content showed no significant change, but the production of cholesteryl esters was enhanced in the treated cells. To explore the possible mechanisms, we applied mRNA-sequencing (mRNA-seq) to study genes differentially expressed in 7KCh-treated cells. The transcriptomic analysis revealed that genes involved in lipid metabolic processes, including MVA biosynthesis and cholesterol transport and esterification, were differentially expressed in treated cells. Integrated analysis of both metabolomic and transcriptomic data suggests that 7KCh induces cholesteryl ester accumulation and reprogramming of lipid metabolism through altered transcription of such genes as sterol O-acyltransferase- and phospholipase A2-encoding genes. The 7KCh-induced reprogramming of lipid metabolism in cardiac cells may be implicated in the pathogenesis of cardiovascular diseases.

Cancer cells display altered glucose metabolism characterized by a preference for aerobic glycolysis. The aerobic glycolytic phenotype of hepatocellular carcinoma (HCC) is often correlated with tumor progression and poorer clinical outcomes. However, the issue of whether glycolytic metabolism influences metastasis in HCC remains unclear. In the current study, we showed that knockdown of taurine up-regulated gene 1 (TUG1) induces marked inhibition of cell migration, invasion, and glycolysis through suppression of microRNA (miR)-455-3p. MiR-455-3p, which is transcriptionally repressed by p21, directly targets the 3' untranslated region of adenosine monophosphate-activated protein kinase subunit beta 2 (AMPKβ2). The TUG1/miR-455-3p/AMPKβ2 axis regulates cell growth, metastasis, and glycolysis through regulation of hexokinase 2 (HK2). TUG1 is clearly associated with HK2 overexpression and unfavorable prognosis in HCC patients. Conclusion Our data collectively highlight that novel regulatory associations among TUG1, miR-455-3p, AMPKβ2, and HK2 are an important determinant of glycolytic metabolism and metastasis in HCC cells and support the potential utility of targeting TUG1/HK2 as a therapeutic strategy for HCC. (Hepatology 2018;67:188-203).

Alterations in metabolism following radiotherapy affect therapeutic efficacy, although the mechanism underlying such alterations is unclear. A new imaging technique—named dynamic nuclear polarization (DNP) carbon-13 magnetic resonance imaging (MRI)—probes the glycolytic flux in a real-time, dynamic manner. The [1-13C]pyruvate is transported by the monocarboxylate transporter (MCT) into cells and converted into [1-13C]lactate by lactate dehydrogenase (LDH). To capture the early glycolytic alterations in the irradiated cancer and immune cells, we designed a preliminary DNP 13C-MRI study by using hyperpolarized [1-13C]pyruvate to study human FaDu squamous carcinoma cells, HMC3 microglial cells, and THP-1 monocytes before and after irradiation. The pyruvate-to-lactate conversion rate (kPL [Pyr.]) calculated by kinetic modeling was used to evaluate the metabolic alterations. Western blotting was performed to assess the expressions of LDHA, LDHB, MCT1, and MCT4 proteins. Following irradiation, the pyruvate-to-lactate conversion rates on DNP 13C-MRI were significantly decreased in the FaDu and the HMC3 cells but increased in the THP-1 cells. Western blot analysis confirmed the similar trends in LDHA and LDHB expression levels. In conclusion, DNP 13C-MRI non-invasively captured the different glycolytic alterations among cancer and immune systems in response to irradiation, implying its potential for clinical use in the future.

A zinc-based one-dimensional (1D) coordination polymer ([Zn(H2mpca)2(tfbdc)(H2O)], Zn-ODCP) has been synthesized and characterized by spectroscopic and physicochemical methods, single-crystal X-ray diffraction, and thermogravimetric analysis (H2mpca = 3-methyl-1H-pyrazole-4-carboxylic acid; H2tfbdc = 2,3,5,6-tetrafluoroterephthalic acid). Zn-ODCP shows blue luminescence in the solid state. When Zn-ODCP acts as an anode material for lithium ion batteries, it exhibits a good cyclic stability and a higher reversible capacity of 300 mAh g–1 at 50 mA g–1 after 50 cycles. The higher capacity may be mainly ascribed to the metal ion and ligand all taking part in lithium storage. Searching for electrode materials of lithium ion batteries from 1D metal coordination polymers is a new route.

// Chiao-Yin Sun 1, 2, 3 , Mei-Ling Cheng 3, 4, 5, 6 , Heng-Chih Pan 1, 2 , Jia-Hung Lee 1, 7 and Chin-Chan Lee 1, 3 1 Department of Nephrology, Chang Gung Memorial Hospital, Keelung, Taiwan 2 Kidney Research Center, Chang Gung Memorial Hospital, Taoyuan, Taiwan 3 School of Medicine, Chang Gung University, Taoyuan, Taiwan 4 Metabolomics Core Laboratory, Healthy Aging Research Center, Chang Gung University, Taoyuan, Taiwan 5 Clinical Phenome Center, Chang Gung Memorial Hospital, Taoyuan, Taiwan 6 Department of Biomedical Sciences, College of Medicine, Chang Gung University, Taoyuan, Taiwan 7 Medical Research Center, Chang Gung Memorial Hospital, Keelung, Taiwan Correspondence to: Chiao-Yin Sun, email: fish3970@gmail.com Keywords: uremic toxins, metabolic stress, mitochondrial fusion, mitochondrial mass, mitophagy Received: May 02, 2017 Accepted: July 29, 2017 Published: September 08, 2017 ABSTRACT Protein-bound uremic toxins, indoxyl sulfate and p -cresol sulfate, increase oxidative stress and adversely affect chronic kidney disease progression and cardiovascular complications. In this study, we examined whether mitochondria are the target of indoxyl sulfate and p -cresol sulfate intoxication in vivo and in vitro . The kidneys of 10-week-old male B-6 mice with ½-nephrectomy treated with indoxyl sulfate and p -cresol sulfate were used for the animal study. Cultured human renal tubular cells were used for the in vitro study. Our results indicated that indoxyl sulfate and p -cresol sulfate impaired aerobic and anaerobic metabolism in vivo and in vitro . Indoxyl sulfate and p -cresol sulfate caused mitochondrial fission by modulating the expression of mitochondrial fission–fusion proteins. Mitochondrial dysfunction and impaired biogenesis could be protected by treatment with antioxidants. The in vitro study also demonstrated that indoxyl sulfate and p -cresol sulfate reduced mitochondrial mass by activating autophagic machinery. In summary, our study suggests that mitochondrial injury is one of the major pathological mechanisms for uremic intoxication, which is related to chronic kidney disease and its complications.

Three isomeric bis(3-methyl-1H-pyrazole-4-carboxylic acid)alkane ligands (H2L1, H2L2 and H2L3) were prepared via a two-step process from ethyl 3-methyl-1H-pyrazole-4-carboxylate (1). They were introduced as bridging ligands to assemble with Zn(II) and Cd(II) ions, and two chiral coordination polymers [Zn(L1)(DMF)(H2O)]n (3a and 3b), [Cd(L1)(H2O)]n·nH2O (5) and two achiral coordination polymers [Zn(L1)(H2O)2]n·nH2O (4), [Cd(L2)(H2O)]n·2nH2O·nEtOH (6) were obtained. (L1)2− adopts a trans-conformation in 3, leading to the formation of 1D coordination chains, and the 2D coordination layers in 4–6 are constructed from (L1)2−/(L2)2− anions in a cis-conformation. Notably, the structures of 3a and 3b exhibit an H-bonded chiral 2D network, featuring a right-handed 3-fold helix in 3a, while a left-handed 3-fold helix in 3b. Compound 5 possesses a 3D supramolecular network with homochiral left-handed helical chains, whose chirality is due solely to the hydrogen bonds. The chiral nature of enantioenriched 3a produced by diffusion crystallization was confirmed by solid-state CD spectroscopy. The thermal and luminescence properties of 3–6 in the solid state have also been investigated.

Background We compared the insulin resistance and metabolic alterations by using a global lipidomic approach. Methods Rats were fed with high-fat-diet (HFD) and high-fructose-diet (HFr) for 12 weeks to induced insulin resistance syndrome. Results Rats on both diets developed of insulin resistance syndrome, characterized by hypertension, hyperlipidemia, hyperinsulinemia, impaired fasting glucose, and insulin resistance. Compared with HFr rats, nonesterified-fatty-acid was lower, and body weight and plasma insulin level were markedly higher in the HFD animals. Adiposity and plasma leptin levels were increased in both groups. However, the size of adipocytes in the HFD-fed rats was greater than that in the HFr-fed rats. Notably, the lipidomic heat map revealed metabolites exhibiting greater differences in the HFD and HFr-fed rats, compared with the controls. Plasma adrenic acid levels were higher in the HFD-fed rats than in the HFr-fed rats. Nevertheless, linoleic and arachidonic acid levels decreased in the HFr-fed rats. Plasma docosapentaenoic acid and docosahexaenoic acid were greatly reduced after feeding with both diets, particularly the HFr diet. Analyzing the correlation between these two fatty acids and metabolic parameters revealed a strong positive correlation between the acids and the insulin sensitivity index. Conclusions The systemic lipidomic analysis indicated that a reduction in these two long-chain fatty acids strongly correlated with insulin resistance in rats under long-term overnutrition. These results provide a potential therapeutic target of insulin resistance and metabolic syndrome.

Endometrial cancer (EC) is one of the most common gynecologic neoplasms in developed countries but lacks screening biomarkers. We aim to identify and validate metabolomic biomarkers in cervicovaginal fluid (CVF) for detecting EC through nuclear magnetic resonance (NMR) spectroscopy. We screened 100 women with suspicion of EC and benign gynecological conditions, and randomized them into the training and independent testing datasets using a 5:1 study design. CVF samples were analyzed using a 600-MHz NMR spectrometer equipped with a cryoprobe. Four machine learning algorithms—support vector machine (SVM), partial least squares discriminant analysis (PLS-DA), random forest (RF), and logistic regression (LR), were applied to develop the model for identifying metabolomic biomarkers in cervicovaginal fluid for EC detection. A total of 54 women were eligible for the final analysis, with 21 EC and 33 non-EC. From 29 identified metabolites in cervicovaginal fluid samples, the top-ranking metabolites chosen through SVM, RF and PLS-DA which existed in independent metabolic pathways, i.e. phosphocholine, malate, and asparagine, were selected to build the prediction model. The SVM, PLS-DA, RF, and LR methods all yielded area under the curve values between 0.88 and 0.92 in the training dataset. In the testing dataset, the SVM and RF methods yielded the highest accuracy of 0.78 and the specificity of 0.75 and 0.80, respectively. Phosphocholine, asparagine, and malate from cervicovaginal fluid, which were identified and independently validated through models built using machine learning algorithms, are promising metabolomic biomarkers for the detection of EC using NMR spectroscopy.

To identify the association between metabolites and muscle mass in 305 elderly Taiwanese subjects, we conducted a multivariate analysis of 153 plasma samples. Based on appendicular skeletal muscle mass index (ASMI) quartiles, female and male participants were divided into four groups. Quartile 4 (Men: 5.67±0.35, Women: 4.70±0.32 Kg/m2) and quartile 1 (Men: 7.60±0.29, Women: 6.56±0.53 Kg/m2) represented low muscle mass and control groups, respectively. After multivariable adjustment, except for physical function, we found that blood urea nitrogen, creatinine, and age were associated with ASMI in men. However, only triglyceride level was related to ASMI in women. The multiple logistic regression models were used to analyze in each baseline characteristic and metabolite concentration. After the adjustment, we identify amino acid-related metabolites and show that glutamate levels in women and alpha-aminoadipate, Dopa, and citrulline/ornithine levels in men are gender-specific metabolic signatures of muscle mass loss.

Liquid chromatography/mass spectrometer (LC/MS) has become one of the most popular analytical platform for metabolomics studies owing to its wide range of detectable polarity and molecular mass. However, metabolite identification remains quite costly and time-consuming in LC/MS-based metabolomics, mostly due to lower database integrity and a separated MS/MS spectra generation process. In this work, we constructed an automated, user-friendly, and freely available tool. From a peak list, the tool first groups peaks, which are usually associated with a metabolite, based on their retention time and abundance correlation across samples. In each group, different ions are annotated and the mass of the underlying metabolite is derived. Finally, the fragments are used to match with low-energy MS/MS spectra in public databases for metabolite identification. To identify metabolites without accessible MS/MS spectra, we have developed characteristic fragment and common substructure matches. Through the above approach, we anticipate facilitating the metabolite identification in LC-MS-based metabolomics studies.