Matches in SemOpenAlex for { <https://semopenalex.org/work/W3118196107> ?p ?o ?g. }
- W3118196107 endingPage "e1128" @default.
- W3118196107 startingPage "e1111" @default.
- W3118196107 abstract "Abstract Context Identification of patients with endocrine forms of hypertension (EHT) (primary hyperaldosteronism [PA], pheochromocytoma/paraganglioma [PPGL], and Cushing syndrome [CS]) provides the basis to implement individualized therapeutic strategies. Targeted metabolomics (TM) have revealed promising results in profiling cardiovascular diseases and endocrine conditions associated with hypertension. Objective Use TM to identify distinct metabolic patterns between primary hypertension (PHT) and EHT and test its discriminating ability. Methods Retrospective analyses of PHT and EHT patients from a European multicenter study (ENSAT-HT). TM was performed on stored blood samples using liquid chromatography mass spectrometry. To identify discriminating metabolites a “classical approach” (CA) (performing a series of univariate and multivariate analyses) and a “machine learning approach” (MLA) (using random forest) were used. The study included 282 adult patients (52% female; mean age 49 years) with proven PHT (n = 59) and EHT (n = 223 with 40 CS, 107 PA, and 76 PPGL), respectively. Results From 155 metabolites eligible for statistical analyses, 31 were identified discriminating between PHT and EHT using the CA and 27 using the MLA, of which 16 metabolites (C9, C16, C16:1, C18:1, C18:2, arginine, aspartate, glutamate, ornithine, spermidine, lysoPCaC16:0, lysoPCaC20:4, lysoPCaC24:0, PCaeC42:0, SM C18:1, SM C20:2) were found by both approaches. The receiver operating characteristic curve built on the top 15 metabolites from the CA provided an area under the curve (AUC) of 0.86, which was similar to the performance of the 15 metabolites from MLA (AUC 0.83). Conclusion TM identifies distinct metabolic pattern between PHT and EHT providing promising discriminating performance." @default.
- W3118196107 created "2021-01-05" @default.
- W3118196107 creator A5005313542 @default.
- W3118196107 creator A5006002318 @default.
- W3118196107 creator A5008459576 @default.
- W3118196107 creator A5014771501 @default.
- W3118196107 creator A5015192187 @default.
- W3118196107 creator A5015997323 @default.
- W3118196107 creator A5017793957 @default.
- W3118196107 creator A5021048991 @default.
- W3118196107 creator A5021402469 @default.
- W3118196107 creator A5023647519 @default.
- W3118196107 creator A5027407695 @default.
- W3118196107 creator A5030424357 @default.
- W3118196107 creator A5030900709 @default.
- W3118196107 creator A5042079657 @default.
- W3118196107 creator A5050121023 @default.
- W3118196107 creator A5051101895 @default.
- W3118196107 creator A5056177001 @default.
- W3118196107 creator A5060659824 @default.
- W3118196107 creator A5061627231 @default.
- W3118196107 creator A5064807965 @default.
- W3118196107 creator A5065333129 @default.
- W3118196107 creator A5068747137 @default.
- W3118196107 creator A5075111618 @default.
- W3118196107 creator A5077098386 @default.
- W3118196107 creator A5077608155 @default.
- W3118196107 creator A5086729980 @default.
- W3118196107 date "2020-12-31" @default.
- W3118196107 modified "2023-10-16" @default.
- W3118196107 title "Targeted Metabolomics as a Tool in Discriminating Endocrine From Primary Hypertension" @default.
- W3118196107 cites W1527832856 @default.
- W3118196107 cites W1974620743 @default.
- W3118196107 cites W1984521896 @default.
- W3118196107 cites W1986682524 @default.
- W3118196107 cites W1990806018 @default.
- W3118196107 cites W2011419691 @default.
- W3118196107 cites W2014537925 @default.
- W3118196107 cites W2032058847 @default.
- W3118196107 cites W2035714184 @default.
- W3118196107 cites W2037136746 @default.
- W3118196107 cites W2040720487 @default.
- W3118196107 cites W2042181867 @default.
- W3118196107 cites W2053373815 @default.
- W3118196107 cites W2066269735 @default.
- W3118196107 cites W2096282875 @default.
- W3118196107 cites W2096863518 @default.
- W3118196107 cites W2101914549 @default.
- W3118196107 cites W2116717490 @default.
- W3118196107 cites W2130645430 @default.
- W3118196107 cites W2131494018 @default.
- W3118196107 cites W2131499497 @default.
- W3118196107 cites W2132444803 @default.
- W3118196107 cites W2135003179 @default.
- W3118196107 cites W2146614932 @default.
- W3118196107 cites W2147145238 @default.
- W3118196107 cites W2150012913 @default.
- W3118196107 cites W2152028368 @default.
- W3118196107 cites W2156497356 @default.
- W3118196107 cites W2158958532 @default.
- W3118196107 cites W2166354753 @default.
- W3118196107 cites W2166520734 @default.
- W3118196107 cites W2242613625 @default.
- W3118196107 cites W2290633895 @default.
- W3118196107 cites W2378917168 @default.
- W3118196107 cites W2416483106 @default.
- W3118196107 cites W2504981678 @default.
- W3118196107 cites W2520222164 @default.
- W3118196107 cites W2558872626 @default.
- W3118196107 cites W2564489970 @default.
- W3118196107 cites W2593664196 @default.
- W3118196107 cites W2605241743 @default.
- W3118196107 cites W2610903327 @default.
- W3118196107 cites W2617388174 @default.
- W3118196107 cites W2618762433 @default.
- W3118196107 cites W2768057265 @default.
- W3118196107 cites W2783873885 @default.
- W3118196107 cites W2792888107 @default.
- W3118196107 cites W2796155808 @default.
- W3118196107 cites W2805679332 @default.
- W3118196107 cites W2807909786 @default.
- W3118196107 cites W2891569146 @default.
- W3118196107 cites W2895083399 @default.
- W3118196107 cites W2911964244 @default.
- W3118196107 cites W2934660957 @default.
- W3118196107 cites W2939049266 @default.
- W3118196107 cites W2980484559 @default.
- W3118196107 cites W3004465995 @default.
- W3118196107 cites W3006900426 @default.
- W3118196107 cites W3012521674 @default.
- W3118196107 cites W3025592089 @default.
- W3118196107 cites W3104887532 @default.
- W3118196107 cites W3171708529 @default.
- W3118196107 cites W381513395 @default.
- W3118196107 doi "https://doi.org/10.1210/clinem/dgaa954" @default.
- W3118196107 hasPubMedCentralId "https://www.ncbi.nlm.nih.gov/pmc/articles/7993566" @default.
- W3118196107 hasPubMedId "https://pubmed.ncbi.nlm.nih.gov/33382876" @default.
- W3118196107 hasPublicationYear "2020" @default.