Diagnosis of pancreatic cancer via1H NMR metabolomics of human plasma

The Analyst ◽  
2018 ◽  
Vol 143 (24) ◽  
pp. 5974-5978 ◽  
Author(s):  
Lenka Michálková ◽  
Štěpán Horník ◽  
Jan Sýkora ◽  
Lucie Habartová ◽  
Vladimír Setnička
Keyword(s):  
Pancreatic Cancer ◽  
Blood Plasma ◽  
Human Plasma ◽  
Nmr Metabolomics ◽  
H Nmr ◽  
Potential Biomarkers

The investigation of blood plasma via1H NMR metabolomics revealed a panel of potential biomarkers of pancreatic cancer.

scholarly journals The possibility of using PlasmaDeepDive™ MRM panel in clinical diagnostics

2015 ◽  
Vol 61 (2) ◽  
pp. 272-278
Author(s):  
Iu.V. Miroshnichenko ◽  
N.A. Petushkova ◽  
N.E. Moskaleva ◽  
N.B. Teryaeva ◽  
V.G. Zgoda ◽  
...  
Keyword(s):  
Nervous System ◽  
Blood Plasma ◽  
Human Plasma ◽  
Human Blood ◽  
Proteomic Analysis ◽  
Clinical Diagnostics ◽  
Human Blood Plasma ◽  
Plasma Samples ◽  
Human Plasma Samples ◽  
Potential Biomarkers

Concentrations of 46 proteins have been determined in human blood plasma using PlasmaDeepDive™ MRM Panel ("Biognosys AG", Switzerland). 18 of them were included into the group of proteins with higher concentrations, also identified by the shotgun proteomic analysis. Based on literature data it is concluded that the PlasmaDeepDive™ MRM Panel is applicable for studies of human plasma samples for potential biomarkers of various nervous system disorders.

scholarly journals Investigation of human plasma depletome from patients with schizophrenia

2019 ◽  
Author(s):  
Licia Carla da Silva Costa ◽  
Daniel Martins de Souza ◽  
Sheila Garcia Rosa ◽  
Paulo A. Baldasso ◽  
Johann Steiner
Keyword(s):  
Mass Spectrometry ◽  
Blood Plasma ◽  
Psychiatric Disorders ◽  
Treatment Outcomes ◽  
Human Plasma ◽  
High Abundance ◽  
Improve Treatment ◽  
Dynamic Concentration ◽  
Shotgun Mass Spectrometry ◽  
Potential Biomarkers

The proteome of blood plasma is an interesting source of biomarkers and a potential way to improve treatment outcomes in psychiatric disorders. Respire that, its wide dynamic concentration range makes reducing its complexity necessary. Thus, in proteomic studies, a few of the most abundant proteins are depleted and normally discarded. This high-abundance fraction, called the depletome, however, is a source of potential biomarkers due to nonspecific bindings with low abundance proteins. In this work, we aimed to characterize the high-abundance fraction using a shotgun mass spectrometry approach. These proteins show the importance of studying depletome proteins in the quest for biomarkers.

Validation of Simvastatin Analysis Methods in Human Blood Plasma (In Vitro) Using HPLC-UV Detector

2018 ◽  
Vol 8 (2) ◽  
Author(s):  
Iyan Sopyan ◽  
Cynthia Jaya ◽  
Driyanti Rahayu
Keyword(s):  
Blood Plasma ◽  
Human Plasma ◽  
Disease Risk ◽  
Protein Precipitation ◽  
Precipitation Method ◽  
Human Blood Plasma ◽  
Analysis Method ◽  
Uv Detector ◽  
Number Of Patients ◽  
System Suitability

The use of simvastatin (SV) increases along with the increasing number of patients with hyperlipidemia and cardiovascular disease risk factors. Consequently, this condition leads to the increasing need of analytical determination of SV in blood plasma. Analysis of SV in human plasma using protein precipitation method and HPLC with UV detector has not been reported. This research was purpose to find out the rapid, accurate, and valid of SV analysis method in human plasma. In this research plasma samples were treated with protein precipitation method. The analyte was then analyzed using HPLC with C18 column 250x4 mm and 5 µm of particle size, the mobile phase contained of phosphate buffer 0.01 M (pH 4.0) and acetonitrile 30:70 v/v with flow rate 1 mL/minute, and detected at 239 nm. The analysis method was validated based on some parameters, such as selectivity, accuracy, precision, repeatability, linearity, LOD, LOQ, and system suitability. The result showed selectivity represented by Rs was 2.870, repeatability by its CV less than 2%, and linearity by its coefficient correlation (r) 0.9992 for concentration range 0.08-0.32 ppm. Based on chromatogram peak area, LOD and LOQ were 0.0132 and 0.0440 ppm respectively, accuracy and precision were 86.25-89.36% and 0.66-1.81% were obtained. The result of system suitability test from retention time and chromatogram peak area showed by its CV less than 2%. The analysis method was proved to be valid for SV analysis in human plasma

Detectability of Plasma Proteins in SRM Measurements

2018 ◽  
Vol 16 (1) ◽  
pp. 74-81 ◽  
Author(s):  
Olga I. Kiseleva ◽  
Elena A. Ponomarenko ◽  
Yulia A. Romashova ◽  
Ekaterina V. Poverennaya ◽  
Andrey V. Lisitsa
Keyword(s):  
Blood Plasma ◽  
Human Plasma ◽  
Limit Of Detection ◽  
Human Blood Plasma ◽  
Analytical Sensitivity ◽  
Plasma Proteome ◽  
Protein Targets ◽  
Blood Plasma Sample ◽  
Specificity And Sensitivity ◽  
Human Plasma Proteome

Background: Liquid chromatography coupled with targeted mass spectrometry underwent rapid technical evolution during last years and has become widely used technology in clinical laboratories. It offers confident specificity and sensitivity superior to those of traditional immunoassays. However, due to controversial reports on reproducibility of SRM measurements, the prospects of clinical appliance of the method are worth discussing. </P><P> Objective: The study was aimed at assessment of capabilities of SRM to achieve a thorough assembly of the human plasma proteome. </P><P> Method: We examined set of 19 human blood plasma samples to measure 100 proteins, including FDA-approved biomarkers, via SRM-assay. </P><P> Results: Out of 100 target proteins 43 proteins were confidently detected in at least two blood plasma sample runs, 36 and 21 proteins were either not detected in any run or inconsistently detected, respectively. Empiric dependences on protein detectability were derived to predict the number of biological samples required to detect with certainty a diagnostically relevant quantum of the human plasma proteome. </P><P> Conclusion: The number of samples exponentially increases with an increase in the number of protein targets, while proportionally decreasing to the logarithm of the limit of detection. Analytical sensitivity and enormous proteome heterogeneity are major bottlenecks of the human proteome exploration.

scholarly journals Putative imbalanced amino acid metabolism in rainbow trout long term fed a plant-based diet as revealed by 1H-NMR metabolomics

2021 ◽  
Vol 10 ◽  
Author(s):  
Catherine Deborde ◽  
Blandine Madji Hounoum ◽  
Annick Moing ◽  
Mickaël Maucourt ◽  
Daniel Jacob ◽  
...  
Keyword(s):  
Amino Acids ◽  
Rainbow Trout ◽  
Amino Acid ◽  
Amino Acid Content ◽  
Proton Nuclear Magnetic Resonance ◽  
Free Form ◽  
Metabolomic Analysis ◽  
Nmr Metabolomics ◽  
H Nmr

Abstract The long-term effect of a plant (P)-based diet was assessed by proton nuclear magnetic resonance (1H-NMR) metabolomics in rainbow trout fed a marine fish meal (FM)–fish oil (FO) diet (M), a P-based diet and a control commercial-like diet (C) starting with the first feeding. Growth performances were not heavily altered by long-term feeding on the P-based diet. An 1H-NMR metabolomic analysis of the feed revealed significantly different soluble chemical compound profiles between the diets. A set of soluble chemical compounds was found to be specific either to the P-based diet or to the M diet. Pterin, a biomarker of plant feedstuffs, was identified both in the P-based diet and in the plasma of fish fed the P-based diet. 1H-NMR metabolomic analysis on fish plasma and liver and muscle tissues at 6 and 48 h post feeding revealed significantly different profiles between the P-based diet and the M diet, while the C diet showed intermediate results. A higher amino acid content was found in the plasma of fish fed the P-based diet compared with the M diet after 48 h, suggesting either a delayed delivery of the amino acids or a lower amino acid utilisation in the P-based diet. This was associated with an accumulation of essential amino acids and the depletion of glutamine in the muscle, together with an accumulation of choline in the liver. Combined with an anticipated absorption of methionine and lysine supplemented in free form, the present results suggest an imbalanced essential amino acid supply for protein metabolism in the muscle and for specific functions of the liver.

scholarly journals Time–frequency analysis of serum with proton nuclear magnetic resonance for diagnosis of pancreatic cancer

2020 ◽  
Vol 10 (1) ◽  
Author(s):  
Asahi Sato ◽  
Toshihiko Masui ◽  
Akitada Yogo ◽  
Takashi Ito ◽  
Keiko Hirakawa ◽  
...  
Keyword(s):  
Pancreatic Cancer ◽  
Carbohydrate Antigen ◽  
Serum Markers ◽  
Proton Nuclear Magnetic Resonance ◽  
Serum Samples ◽  
Time Frequency ◽  
H Nmr ◽  
Free Induction ◽  
Short Time ◽  
Long Term Survivors

AbstractAlthough serum markers such as carcinoembryonic antigen (CEA) and carbohydrate antigen (CA19-9) have been widely used in screening for pancreatic cancer (PC), their sensitivity and specificity are unsatisfactory. Recently, a novel tool of analyzing serum using the short-time Fourier transform (STFT) of free induction decays (FIDs) obtained by 1H-NMR has been introduced. We for the first time evaluated the utility of this technology as a diagnostic tool for PC. Serum was obtained from PC patients before starting any treatments. Samples taken from individuals with benign diseases or donors for liver transplantation were obtained as controls. Serum samples from both groups underwent 1H-NMR and STFT of FIDs. STFT data were analyzed by partial least squares discriminant analysis (PLS-DA) to clarify whether differences were apparent between groups. As a result, PLS-DA score plots indicated that STFT of FIDs enabled effective classification of groups with and without PC. Additionally, in a subgroup of PC, long-term survivors (≥ 2 years) could be discriminated from short-term survivors (< 2 years), regardless of pathologic stage or CEA or CA19-9 levels. In conclusion, STFT of FIDs obtained from 1H-NMR have a potential to be a diagnostic and prognostic tool of PC.

scholarly journals Changes in the human plasma and urinary metabolome associated with acute dietary exposure to sucrose and the identification of potential biomarkers of sucrose intake

2015 ◽  
Vol 60 (2) ◽  
pp. 444-457 ◽  
Author(s):  
Manfred Beckmann ◽  
Annemiek M. Joosen ◽  
Michelle M. Clarke ◽  
Owen Mugridge ◽  
Gary Frost ◽  
...  
Keyword(s):  
Human Plasma ◽  
Dietary Exposure ◽  
Sucrose Intake ◽  
Potential Biomarkers

scholarly journals Differences in lipidomics may be potential biomarkers for early diagnosis of pancreatic cancer

2020 ◽  
Vol 35 (5) ◽  
Author(s):  
Dehua Zhou ◽  
Di Mu ◽  
Ming Cheng ◽  
Yuting Dou ◽  
Xianwei Zhang ◽  
...  
Keyword(s):  
Pancreatic Cancer ◽  
Early Diagnosis ◽  
Potential Biomarkers

scholarly journals 1 H NMR studies of human blood plasma Assignment of resonances for lipoproteins

FEBS Letters ◽  
1987 ◽  
Vol 219 (1) ◽  
pp. 239-243 ◽  
Author(s):  
Jimmy D. Bell ◽  
Peter J. Sadler ◽  
Andrew F. Macleod ◽  
Peter R. Turner ◽  
Agnes La Ville
Keyword(s):  
Blood Plasma ◽  
Human Blood ◽  
Human Blood Plasma ◽  
Nmr Studies ◽  
H Nmr

scholarly journals 1H-NMR spectroscopy identifies potential biomarkers in serum metabolomic signatures for early stage esophageal squamous cell carcinoma

PeerJ ◽  
2019 ◽  
Vol 7 ◽  
pp. e8151 ◽  
Author(s):  
Yan-Yan Liu ◽  
Zhong-Xian Yang ◽  
Li-Min Ma ◽  
Xu-Qing Wen ◽  
Huan-Lin Ji ◽  
...  
Keyword(s):  
Squamous Cell Carcinoma ◽  
Discriminant Analysis ◽  
Nmr Spectroscopy ◽  
Esophageal Squamous Cell Carcinoma ◽  
Cell Carcinoma ◽  
Least Squares ◽  
Partial Least Squares ◽  
Early Stage ◽  
H Nmr ◽  
Potential Biomarkers

Background Esophageal squamous cell carcinoma (ESCC) is one of the most prevalent types of upper gastrointestinal malignancies. Here, we used 1H nuclear magnetic resonance spectroscopy (1H-NMR) to identify potential serum biomarkers in patients with early stage ESCC. Methods Sixty-five serum samples from early stage ESCC patients (n = 25) and healthy controls (n = 40) were analysed using 1H-NMR spectroscopy. We distinguished between different metabolites through principal component analysis, partial least squares-discriminant analysis, and orthogonal partial least squares-discriminant analysis (OPLS-DA) using SIMCA-P+ version 14.0 software. Receiver operating characteristic (ROC) analysis was conducted to verify potential biomarkers. Results Using OPLS-DA, 31 altered serum metabolites were successfully identified between the groups. Based on the area under the ROC curve (AUROC), and the biomarker panel with AUROC of 0.969, six serum metabolites (α-glucose, choline, glutamine, glutamate, valine, and dihydrothymine) were selected as potential biomarkers for early stage ESCC. Dihydrothymine particularly was selected as a new feasible biomarker associated with tumor occurrence. Conclusions 1H-NMR spectroscopy may be a useful tumour detection approach in identifying useful metabolic ESCC biomarkers for early diagnosis and in the exploration of the molecular pathogenesis of ESCC.

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