Prediction of Pathologic Change Development in the Pancreas Associated with Diabetes Mellitus Assessed by NMR Metabolomics

Kód výsledku v 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>

Nalezeny alternativní kódy

RIV/67985858:_____/23:00570912 RIV/00216208:11110/23:10465249

Výsledek na webu

<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>

Jazyk výsledku

angličtina

Název v původním jazyce

Prediction of Pathologic Change Development in the Pancreas Associated with Diabetes Mellitus Assessed by NMR Metabolomics

Popis výsledku v původním jazyce

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.

Název v anglickém jazyce

Prediction of Pathologic Change Development in the Pancreas Associated with Diabetes Mellitus Assessed by NMR Metabolomics

Popis výsledku anglicky

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.

Druh

J_imp - Článek v periodiku v databázi Web of Science

CEP obor

—

OECD FORD obor

10406 - Analytical chemistry

Projekt

<a href="/cs/project/NV16-31028A" target="_blank" >NV16-31028A: Účinnost nových spektroskopických biomarkerů pro detekci časného stádia karcinomu pankreatu</a><br>

Návaznosti

P - Projekt vyzkumu a vyvoje financovany z verejnych zdroju (s odkazem do CEP)

Rok uplatnění

2023

Kód důvěrnosti údajů

S - Úplné a pravdivé údaje o projektu nepodléhají ochraně podle zvláštních právních předpisů

Název periodika

JOURNAL OF PROTEOME RESEARCH

ISSN

1535-3893

e-ISSN

1535-3907

Svazek periodika

22

Číslo periodika v rámci svazku

6

Stát vydavatele periodika

US - Spojené státy americké

Počet stran výsledku

11

Strana od-do

1936-1946

Kód UT WoS článku

000967598400001

EID výsledku v databázi Scopus

2-s2.0-85152210238