Matches in SemOpenAlex for { <https://semopenalex.org/work/W3164368254> ?p ?o ?g. }
- W3164368254 endingPage "617" @default.
- W3164368254 startingPage "602" @default.
- W3164368254 abstract "Aims: Current cardiovascular (CV) risk prediction algorithms are able to quantify the individual risk of CV disease. However, CV risk in young adults is underestimated due to the high dependency of age in biomarker-based algorithms. Because oxidative stress is associated with CV disease, we sought to examine CV risk stratification in young adults based on oxidative stress to approach the discovery of new markers for early detection of pathology. Results: Young adults were stratified into (i) healthy controls, (ii) subjects with CV risk factors, and (iii) patients with a reported CV event. Plasma samples were analyzed using FASILOX, a novel approach to interrogate the dynamic thiol redox proteome. We also analyzed irreversible oxidation by targeted searches using the Uniprot database. Irreversible oxidation of cysteine (Cys) residues was greater in patients with reported CV events than in healthy subjects. These results also indicate that oxidation is progressive. Moreover, we found that glutathione reductase and glutaredoxin 1 proteins are differentially expressed between groups and are proteins involved in antioxidant response, which is in line with the impaired redox homeostasis in CV disease. Innovation: This study, for the first time, describes the oxidative stress (reversible and irreversible Cys oxidation) implication in human plasma according to CV risk stratification. Conclusion: The identification of redox targets and the quantification of protein and oxidative changes might help to better understand the role of oxidative stress in CV disease, and aid stratification for CV events beyond traditional prognostic and diagnostic markers. Antioxid. Redox Signal. 35, 602-617." @default.
- W3164368254 created "2021-06-07" @default.
- W3164368254 creator A5002843015 @default.
- W3164368254 creator A5011374943 @default.
- W3164368254 creator A5011947633 @default.
- W3164368254 creator A5014237010 @default.
- W3164368254 creator A5033759253 @default.
- W3164368254 creator A5040062593 @default.
- W3164368254 creator A5044037201 @default.
- W3164368254 creator A5045813496 @default.
- W3164368254 creator A5049472227 @default.
- W3164368254 creator A5051369406 @default.
- W3164368254 creator A5054866810 @default.
- W3164368254 creator A5074174217 @default.
- W3164368254 creator A5081217694 @default.
- W3164368254 creator A5083020535 @default.
- W3164368254 creator A5083828305 @default.
- W3164368254 creator A5087248913 @default.
- W3164368254 date "2021-09-10" @default.
- W3164368254 modified "2023-10-12" @default.
- W3164368254 title "Cardiovascular Risk Stratification Based on Oxidative Stress for Early Detection of Pathology" @default.
- W3164368254 cites W1508962214 @default.
- W3164368254 cites W1522839402 @default.
- W3164368254 cites W1778688476 @default.
- W3164368254 cites W1833953302 @default.
- W3164368254 cites W1845544526 @default.
- W3164368254 cites W1965324668 @default.
- W3164368254 cites W1969273892 @default.
- W3164368254 cites W1977229794 @default.
- W3164368254 cites W1977402762 @default.
- W3164368254 cites W1984346385 @default.
- W3164368254 cites W1986010116 @default.
- W3164368254 cites W1988734169 @default.
- W3164368254 cites W1989454963 @default.
- W3164368254 cites W1991628500 @default.
- W3164368254 cites W1993735618 @default.
- W3164368254 cites W1994025158 @default.
- W3164368254 cites W2000813652 @default.
- W3164368254 cites W2002611021 @default.
- W3164368254 cites W2005248412 @default.
- W3164368254 cites W2005948867 @default.
- W3164368254 cites W2007636933 @default.
- W3164368254 cites W2013315529 @default.
- W3164368254 cites W2025682509 @default.
- W3164368254 cites W2025782661 @default.
- W3164368254 cites W2041218928 @default.
- W3164368254 cites W2041489973 @default.
- W3164368254 cites W2046247859 @default.
- W3164368254 cites W2049088127 @default.
- W3164368254 cites W2065522670 @default.
- W3164368254 cites W2067351147 @default.
- W3164368254 cites W2068102085 @default.
- W3164368254 cites W2072943838 @default.
- W3164368254 cites W2089996629 @default.
- W3164368254 cites W2106607757 @default.
- W3164368254 cites W2111031153 @default.
- W3164368254 cites W2113352370 @default.
- W3164368254 cites W2113535944 @default.
- W3164368254 cites W2115827933 @default.
- W3164368254 cites W2126477578 @default.
- W3164368254 cites W2133465414 @default.
- W3164368254 cites W2139803981 @default.
- W3164368254 cites W2158217645 @default.
- W3164368254 cites W2161788422 @default.
- W3164368254 cites W2163106819 @default.
- W3164368254 cites W2245960195 @default.
- W3164368254 cites W2313102331 @default.
- W3164368254 cites W2324743432 @default.
- W3164368254 cites W2325288941 @default.
- W3164368254 cites W2402200924 @default.
- W3164368254 cites W2404360023 @default.
- W3164368254 cites W2404768398 @default.
- W3164368254 cites W2482187196 @default.
- W3164368254 cites W2517631128 @default.
- W3164368254 cites W2527980135 @default.
- W3164368254 cites W2556448594 @default.
- W3164368254 cites W2565099436 @default.
- W3164368254 cites W2581101049 @default.
- W3164368254 cites W2584921425 @default.
- W3164368254 cites W2771329069 @default.
- W3164368254 cites W2782354676 @default.
- W3164368254 cites W2783618236 @default.
- W3164368254 cites W2801099391 @default.
- W3164368254 cites W2806826548 @default.
- W3164368254 cites W2910649504 @default.
- W3164368254 cites W2942912875 @default.
- W3164368254 cites W2955658528 @default.
- W3164368254 cites W2998393765 @default.
- W3164368254 cites W2999746968 @default.
- W3164368254 cites W3020955969 @default.
- W3164368254 cites W3021842026 @default.
- W3164368254 cites W3084589637 @default.
- W3164368254 cites W3109406361 @default.
- W3164368254 cites W3114077595 @default.
- W3164368254 cites W4235818002 @default.
- W3164368254 doi "https://doi.org/10.1089/ars.2020.8254" @default.
- W3164368254 hasPubMedId "https://pubmed.ncbi.nlm.nih.gov/34036803" @default.
- W3164368254 hasPublicationYear "2021" @default.