Prediction of Pathologic Change Development in the Pancreas Associated with Diabetes Mellitus Assessed by NMR Metabolomics
The result's identifiers
Result code in IS VaVaI
<a href="https://www.isvavai.cz/riv?ss=detail&h=RIV%2F60461373%3A22340%2F23%3A43925962" target="_blank" >RIV/60461373:22340/23:43925962 - isvavai.cz</a>
Alternative codes found
RIV/67985858:_____/23:00570912 RIV/00216208:11110/23:10465249
Result on the web
<a href="https://pubs.acs.org/doi/10.1021/acs.jproteome.3c00047?ref=pdf#" target="_blank" >https://pubs.acs.org/doi/10.1021/acs.jproteome.3c00047?ref=pdf#</a>
DOI - Digital Object Identifier
<a href="http://dx.doi.org/10.1021/acs.jproteome.3c00047" target="_blank" >10.1021/acs.jproteome.3c00047</a>
Alternative languages
Result language
angličtina
Original language name
Prediction of Pathologic Change Development in the Pancreas Associated with Diabetes Mellitus Assessed by NMR Metabolomics
Original language description
Nuclear magnetic resonance (NMR) metabolomics was used for identification of metabolic changes in pancreatic cancer (PC) blood plasma samples when compared to healthy controls or diabetes mellitus patients. An increased number of PC samples enabled a subdivision of the group according to individual PC stages and the construction of predictivemodels for finer classification of at-risk individuals recruited from patients with recently diagnosed diabetes mellitus. High-performance values of orthogonal partial least squares (OPLS) discriminant analysis were found for discrimination between individual PC stages and both control groups. The discrimination between early and metastatic stages wasachieved with only 71.5% accuracy. A predictive model based on discriminant analyses between individual PC stages and the diabetes mellitus group identified 12 individuals out of 59 as at-risk of development of pathological changes in the pancreas, and four of them were classified as at moderate risk.
Czech name
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Czech description
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Classification
Type
J<sub>imp</sub> - Article in a specialist periodical, which is included in the Web of Science database
CEP classification
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OECD FORD branch
10406 - Analytical chemistry
Result continuities
Project
<a href="/en/project/NV16-31028A" target="_blank" >NV16-31028A: Efficacy of new spectroscopic biomarkers for detection of early stage pancreatic cancer</a><br>
Continuities
P - Projekt vyzkumu a vyvoje financovany z verejnych zdroju (s odkazem do CEP)
Others
Publication year
2023
Confidentiality
S - Úplné a pravdivé údaje o projektu nepodléhají ochraně podle zvláštních právních předpisů
Data specific for result type
Name of the periodical
JOURNAL OF PROTEOME RESEARCH
ISSN
1535-3893
e-ISSN
1535-3907
Volume of the periodical
22
Issue of the periodical within the volume
6
Country of publishing house
US - UNITED STATES
Number of pages
11
Pages from-to
1936-1946
UT code for WoS article
000967598400001
EID of the result in the Scopus database
2-s2.0-85152210238