Metabolomic Analysis Of Plasma Samples Research Articles

Metabolomic profiling of maternal plasma identifies inverse associations of acetate and urea with anti-SARS-CoV-2 antibody titers following COVID-19 vaccination during pregnancy.

We conducted a comprehensive metabolomic analysis of plasma samples obtained from pregnant women who displayed varying post-vaccination antibody titers after receiving mRNA-1273-SARS-CoV-2 vaccines. The study involved 62 pregnant women, all of whom had been vaccinated after reaching 24weeks of gestation. To quantify post-vaccination plasma antibody titers, we employed binding antibody units (BAU) in accordance with the World Health Organization International Standard. Subsequently, we classified the study participants into three distinct BAU/mL categories: those with high titers (above 2000), medium titers (ranging from 1000 to 2000), and low titers (below 1000). Plasma metabolomic profiling was conducted using 1H nuclear magnetic resonance spectroscopy, and the obtained data were correlated with the categorized antibody titers. Notably, in pregnant women exhibiting elevated anti-SARS-CoV-2 antibody titers, reduced plasma concentrations of acetate and urea were observed. A significant negative correlation between these compounds and antibody titers was also evident. An analysis of metabolomics pathways revealed significant inverse associations between antibody titers and four distinct amino acid metabolic pathways: (1) biosynthesis of phenylalanine, tyrosine, and tryptophan; (2) biosynthesis of valine, leucine, and isoleucine; (3) phenylalanine metabolism; and (4) degradation of valine, leucine, and isoleucine. Additionally, an association between the synthesis and degradation pathways of ketone bodies was evident. In conclusion, we identified different metabolic pathways that underlie the diverse humoral responses triggered by COVID-19 mRNA vaccines during pregnancy. Our data hold significant implications for refining COVID-19 vaccination approaches in expectant mothers. KEY MESSAGES : Anti-SARS-CoV-2 antibody titers decline as the number of days since COVID-19 vaccination increases. Anti-SARS-CoV-2 antibody titers are inversely associated with acetate, a microbial-derived metabolite, and urea. Amino acid metabolism is significantly associated with SARS-CoV-2 antibody titers.

Metabolomic Analysis of Plasma Samples Collected Before Arteriovenous Fistula Creation Reveals Metabolome Clusters that Associate with Maturation Outcomes

Metabolomic Analysis of Plasma Samples Collected Before Arteriovenous Fistula Creation Reveals Metabolome Clusters that Associate with Maturation Outcomes

UPLC-Q-TOF/MS Based Plasma Metabolomics for Identification of Paeonol's Metabolic Target in Endometriosis.

Endometriosis is a common gynecological illness in women of reproductive age that significantly decreases life quality and fertility. Paeonol has been shown to play an important part in endometriosis treatments. Understanding the mechanism is critical for treating endometriosis. In this study, autologous transplantation combined with a 28 day ice water bath was used to create a rat model of endometriosis with cold clotting and blood stagnation. The levels of estradiol and progesterone in plasma were detected by ELISA, and the pathological changes of ectopic endometrial tissue were examined by H&E staining, which proved the efficacy of paeonol. For metabolomic analysis of plasma samples, UPLC-Q/TOF-MS was combined with multivariate statistical analysis to identify the influence of paeonol on small molecule metabolites relevant to endometriosis. Finally, the key targets were screened using a combination of network pharmacology and molecular docking approaches. The results showed that the pathological indexes of rats were improved and returned to normal levels after treatment with paeonol, which was the basis for confirming the efficacy of paeonol. Metabolomics results identified 13 potential biomarkers, and paeonol callbacks 7 of them, involving six metabolic pathways. Finally, four key genes were found for paeonol therapy of endometriosis, and the results of molecular docking revealed a significant interaction between paeonol and the four key genes. This study was successful in establishing a rat model of endometriosis with cold coagulation and blood stagnation. GCH1, RPL8, PKLR, and MAOA were the key targets of paeonol in the treatment of endometriosis. It is also demonstrated that metabolomic techniques give the potential and environment for comprehensively understanding drug onset processes.

Metabolomic analysis of plasma samples from schizophrenia patients and cannabis abusers

Metabolomic analysis of plasma samples from schizophrenia patients and cannabis abusers

Plasma metabolomics and gene regulatory networks analysis reveal the role of nonstructural SARS-CoV-2 viral proteins in metabolic dysregulation in COVID-19 patients

Metabolomic analysis of blood plasma samples from COVID-19 patients is a promising approach allowing for the evaluation of disease progression. We performed the metabolomic analysis of plasma samples of 30 COVID-19 patients and the 19 controls using the high-performance liquid chromatography (HPLC) coupled with tandem mass spectrometric detection (LC–MS/MS). In our analysis, we identified 103 metabolites enriched in KEGG metabolic pathways such as amino acid metabolism and the biosynthesis of aminoacyl-tRNAs, which differed significantly between the COVID-19 patients and the controls. Using ANDSystem software, we performed the reconstruction of gene networks describing the potential genetic regulation of metabolic pathways perturbed in COVID-19 patients by SARS-CoV-2 proteins. The nonstructural proteins of SARS-CoV-2 (orf8 and nsp5) and structural protein E were involved in the greater number of regulatory pathways. The reconstructed gene networks suggest the hypotheses on the molecular mechanisms of virus-host interactions in COVID-19 pathology and provide a basis for the further experimental and computer studies of the regulation of metabolic pathways by SARS-CoV-2 proteins. Our metabolomic analysis suggests the need for nonstructural protein-based vaccines and the control strategy to reduce the disease progression of COVID-19.

Plasma Metabolomics Identifies the Dysregulated Metabolic Profile of Primary Immune Thrombocytopenia (ITP) Based on GC-MS.

ITP is a common autoimmune bleeding disorder with elusive pathogenesis. Our study was implemented to profile the plasma metabolic alterations of patients diagnosed with ITP, aiming at exploring the potential novel biomarkers and partial mechanism of ITP. The metabolomic analysis of plasma samples was conducted using GC-MS on 98 ITP patients and 30 healthy controls (HCs). Age and gender matched samples were selected to enter the training set or test set respectively. OPLS-DA, t-test with FDR correction and ROC analyses were employed to screen out and evaluate the differential metabolites. Possible pathways were enriched based on metabolomics pathway analysis (MetPA). A total of 85 metabolites were investigated in our study and 17 differential metabolites with diagnostic potential were identified between ITP patients and HCs. MetPA showed that the metabolic disorders of ITP patients were mainly related to phenylalanine, tyrosine and tryptophan biosynthesis, phenylalanine metabolism and glyoxylate and dicarboxylate metabolism. Additionally, we discriminated 6 differential metabolites and 5 enriched pathways in predicting the resistance to glucocorticoids in chronic ITP patients. The distinct metabolites discovered in our study could become novel biomarkers for the auxiliary diagnosis and prognosis prediction of ITP. Besides, the dysregulated pathways might contribute to the development of ITP.

Phase 2 Results of Urinary-Derived Human Chorionic Gonadotropin/Epidermal Growth Factor As Treatment for Life-Threatening Acute Gvhd

Background: Severe organ damage from acute graft-versus-host disease (aGVHD) results in a high risk of morbidity and mortality. Treatments that focus on immunosuppression alone do not consistently improve long-term survival. Modalities that aid in inflammation resolution, immune tolerance, and tissue repair may improve outcomes beyond high-dose corticosteroids and other broad immunosuppressants for life-threatening aGVHD. We studied the addition of urinary-derived human chorionic gonadotropin/epidermal growth factor (uhCG/EGF, Pregnyl®, Organon, USA) to standard aGVHD therapy in a prospective Phase 2 clinical trial (NCT02525029) conducted at the University of Minnesota and Rush University, extending from our previously published Phase 1 study results (Holtan et al, Blood Advances, 2020) showing uhCG/EGF to be safe and preliminarily efficacious as aGVHD therapy.Methods: Patients with new onset Minnesota (MN) high risk aGVHD (N=22) or with aGVHD requiring 2nd line therapy (N=22) received methylprednisolone 48 mg/m2/day plus 2,000 units/m2 of uhCG/EGF subcutaneously (SQ) every other day for 1 week (high risk arm). Patients in need of 2nd line aGVHD therapy received 2,000 - 5,000 units/m2 SQ every other day, with dose depending on organ severity, for 2 weeks plus standard of care immunosuppression (anti-thymocyte globulin (N=4), etanercept (N=1), ruxolitinib (N=5), sirolimus (N=4), steroid boost (N=8)). Patients who achieved a complete or partial response (CR/PR) after their initial course of therapy received twice weekly maintenance doses for the next 5 weeks. Exploratory metabolomic profiling was performed using mass spectrometry.Results: The median age was 61 years (range 2 years - 72 years, 75% male). The majority of patients had stage 3-4 lower GI GVHD (52%) and overall grade III-IV aGVHD (75%) at time of enrollment, with a median baseline albumin of 2.6 g/dl (range 0.9 - 4 g/dl) and median baseline Karnofsky performance status of 50 (range 20-100). The proportion of patients with a response (CR/PR) at day 28 (primary endpoint) was 68% (57% CR, 11% PR, Figure 1A). Among MN high risk patients receiving 1st line steroids, 64% achieved a CR at day 28 (0% PR). Among patients receiving 2nd line therapy, 50% achieved a CR and 23% PR at day 28. The median overall survival for the entire cohort was 1.2 years (Figure 1B), with a 2-year survival of 67% for responders and 12% for non-responders (p<0.01). Twenty-three died; causes of death included aGVHD (n=9), relapse (n=9), infection (n=3), and organ failure (n=2). Only one dose-limiting toxicity occurred (1 cerebral venous sinus thrombosis, resolved with anticoagulation). Exploratory metabolomic analysis of plasma samples collected during the study suggest potential correlations between blood metabolites and response to therapy. Higher levels of linoleic acid were associated with greater CR/PR rates, while higher levels of lactic acid were associated with treatment failure (Figure 1C).Conclusion: Our Phase 2 study demonstrates that uhCG/EGF is a promising addition to systemic therapy in patients with life-threatening aGVHD. The overall survival result is encouraging considering historical median survival of <0.5 years for patients with both MN high risk and steroid refractory aGVHD. As a commercially available, safe, and inexpensive drug, addition of uhCG/EGF to standard therapy may reduce morbidity and mortality from severe aGVHD. Further studies to explore its role as a steroid-sparing treatment are warranted. [Display omitted] DisclosuresHoltan: Incyte: Consultancy, Research Funding; Generon: Consultancy. Ustun: novartis: Honoraria; Blueprint: Honoraria. Arora: Pharmacyclics: Research Funding; Syndax: Research Funding; Kadmom: Research Funding. Bachanova: Incyte: Research Funding; FATE: Membership on an entity's Board of Directors or advisory committees, Research Funding; KaryoPharma: Membership on an entity's Board of Directors or advisory committees; Gamida Cell: Membership on an entity's Board of Directors or advisory committees, Research Funding. Betts: Patent Disclosures: Patents & Royalties: B.C.B. holds a patent (WO2015120436A2) related to CD4+ T cell pSTAT3 as a marker and therapeutic target of acute GVHD. B.C.B. additionally holds a provisional patent (WO2017058950A1) related to the use of JAK inhibitors for rejection and GVHD prevention. . Vercellotti: CSL Behring: Research Funding; Mitobridge, an Astellas Company: Consultancy, Research Funding. Brunstein: GamidaCell: Research Funding; NANT: Research Funding; FATE: Research Funding; BlueRock: Research Funding; AlloVir: Consultancy. Janakiram: FATE, Nektar Therapeutics: Research Funding; Bristol Meyer Squibb, Kyowa Kirin, ADCT Therapeutics: Honoraria. Weisdorf: Fate Therapeutics: Research Funding; Incyte: Research Funding. MacMillan: Equilium: Other: DSMB member; Incyte: Consultancy; Jazz Pharmaceuticals: Consultancy. OffLabel Disclosure:uhCG/EGF has FDA orphan drug designation to treat acute GVHD.

REP1 deficiency causes systemic dysfunction of lipid metabolism and oxidative stress in choroideremia.

Choroideremia (CHM) is an X-linked recessive chorioretinal dystrophy caused by mutations in CHM, encoding for Rab escort protein 1 (REP1). Loss of functional REP1 leads to the accumulation of unprenylated Rab proteins and defective intracellular protein trafficking, the putative cause for photoreceptor, retinal pigment epithelium (RPE), and choroidal degeneration. CHM is ubiquitously expressed, but adequate prenylation is considered to be achieved, outside the retina, through the isoform REP2. Recently, the possibility of systemic features in CHM has been debated; therefore, in this study, whole metabolomic analysis of plasma samples from 25 CHM patients versus age- and sex-matched controls was performed. Results showed plasma alterations in oxidative stress–related metabolites, coupled with alterations in tryptophan metabolism, leading to significantly raised serotonin levels. Lipid metabolism was disrupted with decreased branched fatty acids and acylcarnitines, suggestive of dysfunctional lipid oxidation, as well as imbalances of several sphingolipids and glycerophospholipids. Targeted lipidomics of the chmru848 zebrafish provided further evidence for dysfunction, with the use of fenofibrate over simvastatin circumventing the prenylation pathway to improve the lipid profile and increase survival. This study provides strong evidence for systemic manifestations of CHM and proposes potentially novel pathomechanisms and targets for therapeutic consideration.

Metabolomics in posttraumatic stress disorder: Untargeted metabolomic analysis of plasma samples from Croatian war veterans

Posttraumatic stress disorder (PTSD) is a severe, multifactorial and debilitating neuropsychiatric disorder, which can develop in a subset of individuals as a result of the exposure to severe stress or trauma. Such traumatic experiences have a major impact on molecular, biochemical and cellular systems, causing psychological and somatic alterations that affect the whole organism. Although the etiology of PTSD is still unclear, it seems to involve complex interaction between various biological genetic and environmental factors. Metabolomics, as one of the rapidly developing “omics” techniques, might be a useful tool for determining altered metabolic pathways and stress-related metabolites as new potential biomarkers of PTSD. The aim of our study was to identify metabolites whose altered levels allow us to differentiate between patients with PTSD and healthy control individuals. The study included two cohorts. The first, exploratory, group included 50 Croatian veterans with PTSD and 50 healthy control subjects, whereas a validation group consisted of 52 veterans with PTSD and 52 control subjects. The metabolomic analysis of plasma samples was conducted using liquid chromatography coupled with mass spectrometry (LC-MS), as well as gas chromatography coupled with mass spectrometry (GC-MS). The LC-MS analysis determined significantly different levels of two glycerophospholipids, PE(18:1/0:0) and PC(18:1/0:0), between control subjects and PTSD patients in both cohorts. The altered metabolites might play a role in multiple cellular processes, including inflammation, mitochondrial dysfunction, membrane breakdown, oxidative stress and neurotoxicity, which could be associated with PTSD pathogenesis.

376-P: Analysis of the Fasting and Postprandial Plasma Metabolome Reveals Metabolic Signatures of Postbariatric Hypoglycemia

One severe complication of gastrointestinal and bariatric surgery is post-bariatric hypoglycemia (PBH). Affected patients may develop severe hypoglycemia, typically 1-3 hours after meals. While exaggerated postprandial incretin hormone and insulin secretion has been implicated, additional contributors to hypoglycemia remain uncertain. We performed untargeted semiquantitative metabolomic analysis of plasma samples collected in the fasting state and at 30 and 120 minutes after a liquid mixed meal (Ensure) in 13 individuals with PBH post-RYGB, 10 asymptomatic post-RYGB, and 8 overweight/obese individuals without history of gastrointestinal surgery. Multiple analytes were reduced in the fasting state in PBH, including 10 amino acids (Leu, Ile, Val, Ala, Phe, Tyr, Met, Trp, Thr, Asn, nominal p&amp;lt;0.05 vs. asymptomatic, FC -1.2 to -1.4), multiple lipid species (C22:6 LPC, C22:6 LPE, C20:4 LPE, C56:7 TAG, C54:5 TAG, C50:5 TAG, p&amp;lt;0.05 vs. asymptomatic,FC -1.3 to -1.5). We also observed robust reduction (2-10 fold, p&amp;lt;0.05) in multiple tryptophan pathway metabolites, including kynurenic acid, xanthurenate, and serotonin. Markers of insulin resistance and T2D risk, such as 2-aminoadipate and alpha-hydroxybutyrate, and multiple B complex vitamins (B3, B5, B6) were also decreased in PBH in the fasting state. By contrast, tricarboxylic acid (TCA) cycle intermediates such as aconitate, isocitrate, succinate and malate and the ketone beta-hydroxybutyrate were all increased in PBH (p&amp;lt;0.05). In summary, we identify several metabolic signatures of PBH including reduction in multiple circulating AA, lipid species, and tryptophan intermediates as well as increased TCA cycle intermediates. Together these could potentially contribute to alterations in glucose metabolic flux in both the fasting and postprandial state in individuals with PBH. Disclosure R. Ferraz-Bannitz: None. C.M. Mulla: None. J. Dreyfuss: None. H. Pan: None. M. Patti: Consultant; Self; Fractyl Laboratories, Inc. Research Support; Self; Dexcom, Inc., Xeris Pharmaceuticals, Inc. Other Relationship; Self; Academy of Nutrition and Dietetics, American Diabetes Association, American Society of Metabolic and Bariatric Surgery, Endocrine Society, Insulet Corporation, King Abdullah International Medical Research Center, SUNY Downstate. Funding National Institutes of Health (R01DK121995, P30DK046200)

Abstract 4369: Plasma metabolomic biomarkers for an early detection of colorectal cancer

Abstract The aim of this study was to identify a plasma metabolic pattern characteristic of colorectal cancer (CRC) which could be used to assess the effectiveness of CRC surgery procedures and, eventually, support an early detection on CRC recurrence. CRC survival and treatment depends on accurate staging. In the past few years, numerous efforts have been made to discover new non-invasive biomarkers of CRC to enhance current diagnosis and prognostic capabilities. The metabolome is the result of the interaction of different -omic levels (genomic, epigenomic, transcriptional, proteomic) and the set of external interventions. Metabolites are involved in almost every biochemical reaction in the human body and provide a direct meaningful readout of its dynamic biochemical status. Because of that, metabolomics is a highly relevant approach to explore individual phenotypes in systems biology of cancer. This study reports results obtained from the metabolomic analysis of plasma samples collected from 40 CRC patients (stages I-IV) and 20 healthy controls matched by for age and gender. Blood from 20 matched post-CRC surgery cases (stages I-III) was collected 1-2 years after surgery to evaluate the correlation of changes in the plasma metabolome with surgery effectiveness. Metabolomic and lipidomic analysis was carried out by reversed phase LC-MS. The sample set was split into train (CRC pre-surgery (n=30) and Control (n=15) and test (CRC pre-surgery (n=10), CRC post-surgery (n=20) and Control(n=5)) subsets. The train set was used to build a multivariate model to discriminate CRC pre-surgery and Control groups and the test set was exclusively used to evaluate its generalization performance. Results from this exploratory study showed a statistically significant difference between the metabolic profiles of samples collected pre-CRC surgery and those collected post-surgery and from healthy individuals. Among other metabolites, CRC metabolic profile was characterized by lower levels of tryptophan and several carnitines (propionyl-carnitine, methyl-butirylcarnitine) and isoleucyl-leucine. Finally, our results indicate that these metabolites are at similar level than healthy individuals in post-CRC surgery samples. This cohort included only 2 CRC patients with diagnosed recurrence and 18 recurrence-free patients (stages I-III) within 3-4 years clinical follow-up after surgery and so, more data is required for the estimation of the predictive value of this metabolomic approach for the assessment of the treatment efficiency or disease progression. Conclusions: Our pilot study has identified a pattern of plasma metabolites that correlates with the presence of colorectal tumor. Furthermore, our results indicate that at 1 year post-CRC surgery these metabolites are normalized. Further work is required to establish whether these metabolites could serve as novel disease biomarkers for a minimally invasive diagnosis and monitoring of CRC. Citation Format: Anna Brunet-Vega, Maria Elisa Quilez, Carles Pericay, Ismael Macias, Laia Vilà, Eva Martinez-Balibrea, Sergio Lario, Guillermo Quintás. Plasma metabolomic biomarkers for an early detection of colorectal cancer [abstract]. In: Proceedings of the American Association for Cancer Research Annual Meeting 2019; 2019 Mar 29-Apr 3; Atlanta, GA. Philadelphia (PA): AACR; Cancer Res 2019;79(13 Suppl):Abstract nr 4369.

Metabolomics reveals novel blood plasma biomarkers associated to the BRCA1-mutated phenotype of human breast cancer

Hereditary breast and ovarian cancer syndrome (HBOC) is partly due to the presence of mutations in the BRCA genes. Triple-negative (TN) breast cancer (BC) shares histological characteristics with germline BRCA1 mutation-associated tumours. We have investigated the metabolic profiles of human breast cancer (BC) cell lines carrying BRCA1 pathogenic mutations by non-targeted liquid chromatography coupled to mass spectrometry technology. Based on our in vitro results, we performed a targeted metabolomic analysis of plasma samples from TN HBOC patients taking into account their BRCA1 genotype. BRCA1 promoter hypermethylation and the BRCAness phenotype of BC cell lines were also studied. The purpose of this study was to determine the metabolic signature of HBOC syndrome and TNBC patients and to evaluate the potential contribution of the metabolites identified to the genetic diagnosis of breast cancer. The present results show the existence of a differential metabolic signature for BC cells based on the BRCA1 functionality. None of the studied BC cell lines presented hypermethylation of the BRCA1 promoter region. We provide evidence of the existence of free methylated nucleotides capable of distinguishing plasma samples from HBOC patients as BRCA1-mutated and BRCA1 non-mutated, suggesting that they might be considered as BRCA1-like biomarkers for TNBC and HBOC syndrome.

A Metabolome-Wide Study of Dry Eye Disease Reveals Serum Androgens as Biomarkers

PurposeTo test the association between serum metabolites and dry eye disease (DED) using a hypothesis-free metabolomics approach.DesignCross-sectional association study.ParticipantsA total of 2819 subjects from the population-representative TwinsUK cohort in the United Kingdom, with a mean age of 57 years (range, 17–82 years).MethodsWe tested associations between 222 known serum metabolites and DED. All subjects underwent nontargeted metabolomic analysis of plasma samples using gas and liquid chromatography in combination with mass spectrometry (Metabolon Inc., Durham, NC). Dry eye disease was defined from the validated Short Questionnaire for Dry Eye Syndrome (SQDES) as a previous diagnosis of DED by a clinician or “often” or “constant” symptoms of dryness and irritation. Analyses were performed with linear mixed effect models that included age, BMI, and sex as covariates, corrected for multiple testing.Main Outcome MeasuresPrimary outcome was DED as defined by the SQDES, and secondary outcomes were symptom score of DED and a clinical diagnosis of DED.ResultsPrevalence of DED as defined by the SQDES was 15.5% (n = 436). A strong and metabolome-wide significant association with DED was found with decreased levels of the metabolites androsterone sulfate (P = 0.00030) and epiandrosterone sulfate (P = 0.00036). Three other metabolites involved in androgen metabolism, 4-androsten-3beta,17beta-diol disulfate 1 and 2, and dehydroepiandrosterone sulfate, were the next most strongly associated of the 222 metabolites, but did not reach metabolome-wide significance. Dryness and irritation symptoms, as opposed to a clinical diagnosis, were particularly strongly associated with decreased androgen steroid metabolites, with all reaching metabolome-wide significance (androsterone sulfate, P = 0.000000029; epiandrosterone sulfate, P = 0.0000040; 4-androsten-3beta,17beta-diol disulfate 1, P = 0.000016; 4-androsten-3beta,17beta-diol disulfate 2, P = 0.000064; and dehydroepiandrosterone sulfate, P = 0.00011). Of these 5 androgens, epiandrosterone sulfate (P = 0.0076) was most associated with 2-year incidence of clinician-diagnosed DED. In addition, we found decreased glycerophosphocholines to be associated with DED, although not at metabolome-wide significance.ConclusionsThis hypothesis-free metabolomic approach found decreased serum androgens to be highly associated with DED and adds important evidence to the growing body of research that links androgens to ocular surface disease and DED.

GC-MS Based Plasma Metabolomics for Identification of Candidate Biomarkers for Hepatocellular Carcinoma in Egyptian Cohort.

This study evaluates changes in metabolite levels in hepatocellular carcinoma (HCC) cases vs. patients with liver cirrhosis by analysis of human blood plasma using gas chromatography coupled with mass spectrometry (GC-MS). Untargeted metabolomic analysis of plasma samples from participants recruited in Egypt was performed using two GC-MS platforms: a GC coupled to single quadruple mass spectrometer (GC-qMS) and a GC coupled to a time-of-flight mass spectrometer (GC-TOFMS). Analytes that showed statistically significant changes in ion intensities were selected using ANOVA models. These analytes and other candidates selected from related studies were further evaluated by targeted analysis in plasma samples from the same participants as in the untargeted metabolomic analysis. The targeted analysis was performed using the GC-qMS in selected ion monitoring (SIM) mode. The method confirmed significant changes in the levels of glutamic acid, citric acid, lactic acid, valine, isoleucine, leucine, alpha tocopherol, cholesterol, and sorbose in HCC cases vs. patients with liver cirrhosis. Specifically, our findings indicate up-regulation of metabolites involved in branched-chain amino acid (BCAA) metabolism. Although BCAAs are increasingly used as a treatment for cancer cachexia, others have shown that BCAA supplementation caused significant enhancement of tumor growth via activation of mTOR/AKT pathway, which is consistent with our results that BCAAs are up-regulated in HCC.

Abstract 12306: Changes of Metabolomic Profiling Are Associated With Reduced Exercise Capacity in Patients With Heart Failure

Background: Exercise intolerance is a major clinical manifestation, and closely related to poor prognosis in heart failure (HF) patients. Metabolic derangements have been shown to play an important role in this phenomenon. Recent metabolomic investigations have highlighted several novel biochemical pathways in HF, however, metabolic profiling associated with exercise capacity has not been elucidated. We thus investigated the metabolites associated with exercise capacity by using global metabolomic analysis of plasma samples in HF patients. Methods: Ten consecutive HF patients with reduced ejection fraction (57 ± 12 years old, New York Heart Association class II - III) and 5 age-matched healthy subjects as controls (56 ± 3 years old) were studied. Charged metabolites in plasma samples were measured by capillary electrophoresis mass spectrometry. Peak oxygen uptake (peak VO 2 ) and VE/VCO 2 slope were measured by cardiopulmonary exercise test. Results: A total of 233 charged metabolites were identified and quantified absolutely using standard chemicals for each metabolite. Significant increases in arginine methylation, phospholipid metabolites, and urea cycle metabolites were observed in HF patients compared to controls (Figure). Peak VO 2 was negatively correlated with methylarginine including asymmetric dimethylarginine (ADMA) (r=-0.77, P&lt;0.001) and symmetric dimethylarginine (SDMA) (r=-0.65, P=0.040) levels, and phospholipid metabolites including choline (r=-0.63, P=0.049) and N,N -dimethylglycine (r=-0.75, P=0.011) levels in HF patients. VE/VCO 2 slope was positively correlated with N,N -dimethylglycine (r=0.72, P=0.026) and Urea (r=0.82, P=0.006) levels. Conclusions: Increases in metabolites of arginine methylation, phospholipid metabolism, and urea cycle were associated with exercise intolerance in HF. These results provide mechanistic insights into exercise intolerance associated with HF.

Metabolomics Discloses Potential Biomarkers for the Noninvasive Diagnosis of Idiopathic Portal Hypertension

Idiopathic portal hypertension (IPH) is a rare cause of portal hypertension that lacks a specific diagnostic test. Requiring ruling-out other causes of portal hypertension it is frequently misdiagnosed. This study evaluates whether using high-throughput techniques there is a metabolomic profile allowing a noninvasive diagnosis of IPH. Thirty-three IPH patients were included. Matched patients with cirrhosis (CH) and healthy volunteers (HV) were included as controls. Metabolomic analysis of plasma samples was performed using UPLC-time-of-flight-mass spectrometry. We computed Student's P-values, corrected by multiple comparison and VIP score (Variable Importance in the Projection). The metabolites were selected with an adjusted Benjamini Hochberg P value <0.05. We use markers with a greater VIP score, to build partial least squares projection to latent structures regression with discriminant analysis (PLS-DA) representative models to discriminate IPH from CH and from HV. The performance of the PLS-DA model was evaluated using R(2) and Q(2) parameter. An additional internal cross-validation was done. PLS-DA analysis showed a clear separation of IPH from CH with a model involving 28 metabolites (Q(2)=0.67, area under the curve (AUC)=0.99) and a clear separation of IPH from healthy subjects with a model including 31 metabolites (Q(2)=0.75, AUC=0.98). After cross-validation, both models showed high rates of sensitivity (94.8 and 97.5), specificity (89.1 and 89.7), and AUC (0.98 and 0.98), reinforcing the strength of our findings. A metabolomic profile clearly differentiating patients with IPH from CH and healthy subjects has been identified using subsets of 28 and 31 metabolites, respectively. Therefore, metabolomic analysis appears to be a valuable tool for the noninvasive diagnosis of IPH.

Innovative microwave-assisted oximation and silylation procedures for metabolomic analysis of plasma samples using gas chromatography–mass spectrometry

Analysis of plasma metabolomic samples by gas chromatography–mass spectrometry always requires comprehensive pretreatment including oximation and silylation. Although heating block (HB) is a commonly used method, it is time consuming. This study describes an extremely time-effective microwave-assisted (MA) oximation and silylation approach for metabolomic study of plasma samples. The Box–Behnken design was employed to optimize the MA conditions by means of oximation at 65W for 100s and then silylation through 180s incubation with 230W microwave irradiation. The results showed that microwave irradiation decreased the sample preparation time from approximately 180min to 5min without loss of information for the metabolites in plasma samples. Both the HB method and the developed MA method were applied in plasma metabolomic study of sulfur mustard intoxication. Partial least-squares discriminant analysis (PLS-DA) was used to globally understand the metabolic changes, and multi-criteria assessment was used to select the most significant and reliable variables as potential biomarkers. The data obtained by the MA method were in good correlation with the HB method. Compared with HB method, the newly developed MA oximation and silylation of plasma metabolome samples was more efficient and time-effective and may prove to be an attractive alternative for high-throughput sample preparation in plasma metabolomics.

Targeted metabolomic analysis of plasma samples for the diagnosis of inherited metabolic disorders

Metabolomics has become an important tool in clinical research and diagnosis of human diseases. In this work we focused on the diagnosis of inherited metabolic disorders (IMDs) in plasma samples using a targeted metabolomic approach. The plasma samples were analyzed with the flow injection analysis method. All the experiments were performed on a QTRAP 5500 tandem mass spectrometer (AB SCIEX, USA) with electrospray ionization. The compounds were measured in a multiple reaction monitoring mode. We analyzed 50 control samples and 34 samples with defects in amino acid metabolism (phenylketonuria, maple syrup urine disease, tyrosinemia I, argininemia, homocystinuria, carbamoyl phosphate synthetase deficiency, ornithine transcarbamylase deficiency, nonketotic hyperglycinemia), organic acidurias (methylmalonic aciduria, propionic aciduria, glutaric aciduria I, 3-hydroxy-3-methylglutaric aciduria, isovaleric aciduria), and mitochondrial defects (medium-chain acyl-coenzyme A dehydrogenase deficiency, carnitine palmitoyltransferase II deficiency). The controls were distinguished from the patient samples by principal component analysis and hierarchical clustering. Approximately 80% of patients were clearly detected by absolute metabolite concentrations, the sum of variance for first two principle components was in the range of 44–55%. Other patient samples were assigned due to the characteristic ratio of metabolites (the sum of variance for first two principle components 77 and 83%). This study has revealed that targeted metabolomic tools with automated and unsupervised processing can be applied for the diagnosis of various IMDs.