scholarly journals Plasma Metabolomics Characteristic of Gout Patients With Regular Glucose, Blood Pressure, and Blood Lipid

2020 ◽  
Author(s):  
Baoyu Zhang ◽  
Lijie Zhang ◽  
Yuan Wang ◽  
Zongwei Wang ◽  
Caiyan Mo ◽  
...  
Keyword(s):  
Blood Lipid ◽  
Tca Cycle ◽  
Negative Ion ◽  
Control Group ◽  
Methionine Metabolism ◽  
Glutamate Metabolism ◽  
Citrate Cycle ◽  
Orthogonal Signal Correction ◽  
Novel Biomarkers ◽  
Negative Ion Mode

Abstract BackgroundGout is a metabolic disease and is the most common form of inflammatory arthritis affecting men. However, the pathogenesis of gout is still uncertain, and novel biomarkers are needed for early prediction and diagnosis of gout. The aim of this study is to reveal the metabolic alterations in plasma of gout patients and discover novel molecular biomarkers for early diagnosis. MethodsMetabonomics was employed to screen and identify novel biomarkers of gout based on human plasma. Ultra High-Pressure Liquid Chromatography-Mass Spectrometry (UHPLC-MS) and orthogonal signal correction partial least squares discriminate analysis (OPLS-DA) were also used for metabonomics study. Kyoto Encyclopedia of Genes and Genomes (KEGG) and MetaboAnalyst were used for pathway enrichment analysis.ResultsIn this study, 51 metabolites in positive ion mode and 39 metabolites in negative ion mode were selected as remarkable significant variables between gout and healthy control group. Four unique pathways were found, namely Citrate cycle (TCA cycle), cysteine and methionine metabolism and alanine, aspartate, and glutamate metabolism. A total of 7 metabolites with AUC>0.75 were involved in the above three metabolic pathways, including L-Malic acid，Pyruvate，cis-Aconitate, Cysteine-S-sulfate, L-2-Aminobutyric acid, L-Methionine, Succinic semialdehyde.ConclusionThe present study identified the plasma metabolomics characteristic of gout through UHPLC-MS. The differential metabolites pathways of gout screened out were involved in Citrate cycle (TCA cycle), cysteine and methionine metabolism and alanine, aspartate, and glutamate metabolism. The metabolomics characteristic of gout could provide novel insights into the pathogenesis of gout.

scholarly journals Plasma Metabolomics Signature of Gout and Asymptomatic Hyperuricemia

2020 ◽  
Author(s):  
Baoyu Zhang ◽  
Lijie Zhang ◽  
Yuan Wang ◽  
Zongwei Wang ◽  
Caiyan Mo ◽  
...  
Keyword(s):  
Early Diagnosis ◽  
High Performance ◽  
Area Under The Curve ◽  
Pipecolic Acid ◽  
Glutathione Metabolism ◽  
Array Detector ◽  
Control Group ◽  
Orthogonal Signal Correction ◽  
Novel Biomarkers ◽  
And Control

Abstract Background: Gout is a metabolic disease and is the most common form of inflammatory arthritis affecting men. However, the pathogenesis of gout is still uncertain, and novel biomarkers are needed for early prediction and diagnosis of gout. To reveal the metabolic alterations in plasma of gout patients and hyperuricemia patients and discover novel molecular biomarkers for early diagnosis. Metabonomics was employed to screen and identify novel biomarkers of gout based on human plasma. High performance liquid chromatography-diode array detector (HPLC-DAD) and orthogonal signal correction partial least squares discriminate analysis (OPLS-DA) were also used for metabonomics study.Results: 80 and 62 features were selected as remarkable significant variables in the two modes between gout and control group, 90 and 50 features between hyperuricemia (HUA) and control group, 63 and 60 features between gout and HUA group, respectively. 25 potential metabolic biomarkers which at least in two comparison groups were remained. Among 25 metabolites, 34% presented high area under the curve (AUC) values (AUC >0.75). Four metabolites including Lys-Ser, L-Pipecolic acid, glycine, arecoline were screened out. They were used to distinguish gout from hyperuricemia with AUC>0.75, which was greater than the AUC of uric acid.Conclusion: The differential metabolites of gout screened out were involved in amino acid metabolism, including glycine, serine and threonine metabolism, arginine biosynthesis, glutathione metabolism. Lys-Ser, L-pipecolic acid, glycine, arecoline were down-regulated in gout patients compared with hyperuricemia patients. The metabolomics signatures could serve as an efficient tool for early diagnosis and provide novel insights into the pathogenesis of gout.

scholarly journals Integrated RNA and metabolite profiling of urine liquid biopsies for prostate cancer biomarker discovery

2019 ◽  
Author(s):  
Bongyong Lee ◽  
Iqbal Mahmud ◽  
John Marchica ◽  
Paweł Dereziński ◽  
Feng Qi ◽  
...  
Keyword(s):  
Prostate Cancer ◽  
Biomarker Discovery ◽  
Tca Cycle ◽  
Redox Balance ◽  
Urine Samples ◽  
Integrated Analysis ◽  
Glutamate Metabolism ◽  
Liquid Biopsies ◽  
Normal Individuals ◽  
Novel Biomarkers

AbstractSensitive and specific diagnostic and prognostic biomarkers for prostate cancer (PCa) are urgently needed. Urine samples are a non-invasive means to obtain abundant and readily accessible “liquid biopsies”. Herein we used urine liquid biopsies to identify and characterize a novel group of urine-enriched RNAs and metabolites in PCa patients and normal individuals with or without benign prostatic disease. Differentially expressed RNAs were identified in urine samples by deep sequencing and metabolites in urine were measured by mass spectrometry. The mRNA and metabolite profiles were distinct in patients with benign and malignant disease. Integrated analysis of urinary gene expression and metabolite signatures unveiled an aberrant glutamate metabolism and tricarboxylic acid (TCA) cycle node in prostate cancer-derived cells. Functional validation supports a role for glutamate metabolism and glutamate oxaloacetate transaminase 1 (GOT1)-dependent redox balance in prostate cancer, which can be exploited for novel biomarkers and therapies.

scholarly journals Huanglong Antitussive Granule Relieves Acute Asthma Through Regulating Pulmonary Lipid Homeostasis

2021 ◽  
Vol 12 ◽  
Author(s):  
Hua Yan ◽  
Guiying Qian ◽  
Rui Yang ◽  
Zichen Luo ◽  
Xianzheng Wang ◽  
...  
Keyword(s):  
Treatment Group ◽  
High Performance ◽  
Acute Asthma ◽  
Enrichment Analysis ◽  
Negative Ion ◽  
Lipid Homeostasis ◽  
Enzyme Linked Immunosorbent Assay ◽  
Control Group ◽  
Asthma Model ◽  
Negative Ion Mode

Background: Asthma is a respiratory disease with chronic airway inflammatory, and individuals with asthma exacerbations is one of the most frequent causes of hospitalization. Huanglong antitussive granule (HL Granule), a Chinese proprietary herbal medicine, has been proved to be effective in the clinical treatment of pulmonary disease. This study is devoted to the pharmacodynamics of HL Granule in acute asthma and the possible mechanism from the perspective of lipidomics.Methods: Mice were divided into four groups, control group, acute asthma model group, HL Granule treatment and montelukast sodium treatment group. Acute asthma was induced by ovalbumin (OVA). Histopathology, pulmonary function and enzyme linked immunosorbent assay (ELISA) were used to validated model and effect of HL Granule. Lipids were detected by ultra-high-performance liquid chromatography coupled to hybrid Quadrupole-Exactive Orbitrap mass spectrometry (UHPLC-Q-Exactive Orbitrap MS) and identified by MS-DAIL and built-in Lipidblast database. Differentially expressed lipids recalled in HL Granule treatment group were extracted for heatmap, enrichment analysis and correlation analysis.Results: HL Granule was effective in decreasing airway hyperresponsiveness (AHR), airway inflammatory and the levels of IL-4 and IL-5. A total of 304 and 167 lipids were identified in positive and negative ion mode, respectively. Among these, 104 and 73 lipids were reserved in HL Granule group (FDR < 0.05), including acylcarnitine (ACar), fatty acid (FA), lysophosphatidylcholine (LPC), phosphatidylcholine (PC), lysophosphatidylethanolamine (LPE), phosphatidylethanolamine (PE), phosphatidylglycerol (PG), phosphatidylinositol (PI), phosphatidylserine (PS), diglyceride (DG), triglyceride (TG), sphingomyelin (SM) and ceramide (Cer). Furthermore, 118 and 273 correlations among 47 and 96 lipids in the positive and negative were observed, with ether-linked phosphatidylethanolamine (PEe) and phosphatidylcholine (PCe) (FDR < 0.001, Spearman correlation coefficient r2 > 0.75).Conclusion: HL Granule might improve pulmonary lipid homeostasis and could be used as an alternative or supplementary therapy in clinical for the treatment of asthma.

Confounding contaminants in mass spectrometric reaction monitoring

2018 ◽  
Author(s):  
Gilian T. Thomas ◽  
Landon MacGillivray ◽  
Natalie L. Dean ◽  
Rhonda L. Stoddard ◽  
Lars Yunker ◽  
...  
Keyword(s):  
Mass Spectrometry ◽  
Mass Spectrometric ◽  
Negative Ion ◽  
Reaction Monitoring ◽  
Schlenk Flask ◽  
Dynamic Analyses ◽  
Rubber Septa ◽  
Negative Ion Mode ◽  
Mode A

<p>Reactions carried out in the presence of rubber septa run the risk of additives being leached out by the solvent. Normally, such species are present at low enough levels that they do not interfere with the reaction significantly. However, when studying reactions using sensitive methods such as mass spectrometry, the appearance of even trace amounts of material can confuse dynamic analyses of reactions. A wide variety of additives are present in rubber along with the polymer: antioxidants, dyes, detergent, and vulcanization agents, and these are all especially problematic in negative ion mode. A redesigned Schlenk flask for pressurized sample infusion (PSI) is presented as a means of practically eliminating the presence of contaminants during reaction analyses.</p>

scholarly journals Dopant-Enriched Nitrogen Gas for Enhanced Electrospray Ionization of Released Glycans in Negative Ion Mode

2021 ◽  
Author(s):  
Katarina Madunić ◽  
Sander Wagt ◽  
Tao Zhang ◽  
Manfred Wuhrer ◽  
Guinevere S.M. Lageveen-Kammeijer
Keyword(s):  
Electrospray Ionization ◽  
Negative Ion ◽  
Nitrogen Gas ◽  
Negative Ion Mode

scholarly journals Comprehensive Plasma Metabolomic Profile of Patients with Advanced Neuroendocrine Tumors (NETs). Diagnostic and Biological Relevance

Cancers ◽  
2021 ◽  
Vol 13 (11) ◽  
pp. 2634
Author(s):  
Beatriz Soldevilla ◽  
Angeles López-López ◽  
Alberto Lens-Pardo ◽  
Carlos Carretero-Puche ◽  
Angeles Lopez-Gonzalvez ◽  
...  
Keyword(s):  
Metabolic Pathways ◽  
Metabolic Networks ◽  
Tca Cycle ◽  
Metabolomic Profile ◽  
Diagnostic Potential ◽  
The Tca Cycle ◽  
Novel Biomarkers ◽  
Potential Methods ◽  
Clinical Potential ◽  
First Time

Purpose: High-throughput “-omic” technologies have enabled the detailed analysis of metabolic networks in several cancers, but NETs have not been explored to date. We aim to assess the metabolomic profile of NET patients to understand metabolic deregulation in these tumors and identify novel biomarkers with clinical potential. Methods: Plasma samples from 77 NETs and 68 controls were profiled by GC−MS, CE−MS and LC−MS untargeted metabolomics. OPLS-DA was performed to evaluate metabolomic differences. Related pathways were explored using Metaboanalyst 4.0. Finally, ROC and OPLS-DA analyses were performed to select metabolites with biomarker potential. Results: We identified 155 differential compounds between NETs and controls. We have detected an increase of bile acids, sugars, oxidized lipids and oxidized products from arachidonic acid and a decrease of carnitine levels in NETs. MPA/MSEA identified 32 enriched metabolic pathways in NETs related with the TCA cycle and amino acid metabolism. Finally, OPLS-DA and ROC analysis revealed 48 metabolites with diagnostic potential. Conclusions: This study provides, for the first time, a comprehensive metabolic profile of NET patients and identifies a distinctive metabolic signature in plasma of potential clinical use. A reduced set of metabolites of high diagnostic accuracy has been identified. Additionally, new enriched metabolic pathways annotated may open innovative avenues of clinical research.

Optimization of parameters affecting signal intensity in an LTQ-orbitrap in negative ion mode: A design of experiments approach

Talanta ◽  
2016 ◽  
Vol 147 ◽  
pp. 402-409 ◽  
Author(s):  
Nikolaos Lemonakis ◽  
Alexios-Leandros Skaltsounis ◽  
Anthony Tsarbopoulos ◽  
Evagelos Gikas
Keyword(s):  
Design Of Experiments ◽  
Signal Intensity ◽  
Negative Ion ◽  
Optimization Of Parameters ◽  
Negative Ion Mode ◽  
Mode A

scholarly journals Effects of Preventive Acupuncture and Moxibustion on Fat Accumulation, Blood Lipid, and UterusE2of Menopause Rats

2014 ◽  
Vol 2014 ◽  
pp. 1-9 ◽  
Author(s):  
Shi-Peng Zhu ◽  
Yu-wei He ◽  
Huan Chen ◽  
Zhi-Fang Sun ◽  
Na Ding ◽  
...  
Keyword(s):  
Growth Rate ◽  
Body Weight ◽  
Density Lipoprotein ◽  
Blood Lipid ◽  
Control Group ◽  
Young Control ◽  
Fat Accumulation ◽  
Acupuncture And Moxibustion ◽  
Weight Growth ◽  
Sd Rats

Objective. To observe the effect of preventive acupuncture and moxibustion on blood lipid of menopause rats.Methods. Seventy 10-month-old SD rats with estrous cycle disorders were divided into three control groups and four treatment groups (n=10/group) and another ten 3.5-month-old female SD rats were chosen as young control group. Preventive acupuncture and moxibustion were applied at Guanyuan (CV 4). Body weight growth rate has been recorded. Plasma total cholesterol (TC), triglyceride (TG), low density lipoprotein (LDL), and high density lipoprotein (HDL) levels and uterusE2level were measured.Results. Compared to young control group, plasma TC and LDL increased and uterusE2reduced significantly in 12-month-old control group. Compared to 12-month-old control group, plasma TC and LDL level and body weight growth rate decreased while HDL level increased remarkably in preventive acupuncture 12-month-old group. Compared to 14-month-old control group, plasma TC level and body weight growth rate decreased remarkably in preventive moxibustion 14-month-old group.Conclusions. Preventive acupuncture and moxibustion can significantly decrease the plasma TG and LDL, increase the plasma HDL, and prevent fat accumulation. Our finding suggests that preventive acupuncture and moxibustion have beneficial effects on blood lipid. Different treatment effects were found between preventive acupuncture and preventive moxibustion.

scholarly journals Fast Sensing of Hydrogen Cyanide (HCN) Vapors Using a Hand-Held Ion Mobility Spectrometer with Nonradioactive Ionization Source

Sensors ◽  
2021 ◽  
Vol 21 (15) ◽  
pp. 5045
Author(s):  
Victor Bocos-Bintintan ◽  
Ileana Andreea Ratiu
Keyword(s):  
Ion Mobility ◽  
Hydrogen Cyanide ◽  
Limit Of Detection ◽  
Chemical Warfare Agent ◽  
Source Model ◽  
Negative Ion ◽  
Industrial Chemicals ◽  
Ionization Source ◽  
Toxic Industrial Chemicals ◽  
Negative Ion Mode

Sensitive real-time detection of vapors produced by toxic industrial chemicals (TICs) always represents a stringent priority. Hydrogen cyanide (HCN) is definitely a TIC, being widely used in various industries and as an insecticide; it is a reactive, very flammable, and highly toxic compound that affects the central nervous system, cardiovascular system, eyes, nose, throat, and also has systemic effects. Moreover, HCN is considered a blood chemical warfare agent. This study was focused toward quick detection and quantification of HCN in air using time-of-flight ion mobility spectrometry (ToF IMS). Results obtained clearly indicate that IMS can rapidly detect HCN at sub-ppmv levels in air. Ion mobility spectrometric response was obtained in the negative ion mode and presented one single distinct product ion, at reduced ion mobility K0 of 2.38 cm2 V−1 s−1. Our study demonstrated that by using a miniaturized commercial IMS system with nonradioactive ionization source model LCD-3.2E (Smiths Detection Ltd., London, UK), one can easily measure HCN at concentrations of 0.1 ppmv (0.11 mg m−3) in negative ion mode, which is far below the OSHA PEL-TWA value of 10 ppmv. Measurement range was from 0.1 to 10 ppmv and the estimated limit of detection LoD was ca. 20 ppbv (0.02 mg m−3).

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