FRINK Linked Data Fragments server

Matches in SemOpenAlex for { <https://semopenalex.org/work/W4362699423> ?p ?o ?g. }

• W4362699423 abstract "Cellular senescence is a cell fate in response to diverse forms of age-related damage and stress that has been implicated in the pathogenesis of idiopathic pulmonary fibrosis (IPF). The associations between circulating levels of candidate senescence biomarkers and disease outcomes have not been specifically studied in IPF. In this study we assessed the circulating levels of candidate senescence biomarkers in individuals affected by IPF and controls and evaluated their ability to predict disease outcomes.We measured the plasma concentrations of 32 proteins associated with senescence in Lung Tissue Research Consortium participants and studied their relationship with the diagnosis of IPF, parameters of pulmonary and physical function, health-related quality of life, mortality, and lung tissue expression of P16, a prototypical marker of cellular senescence. A machine learning approach was used to evaluate the ability of combinatorial biomarker signatures to predict disease outcomes.The circulating levels of several senescence biomarkers were significantly elevated in persons affected by IPF compared to controls. A subset of biomarkers accurately classified participants as having or not having the disease and was significantly correlated with measures of pulmonary function, health-related quality of life and, to an extent, physical function. An exploratory analysis revealed senescence biomarkers were also associated with mortality in IPF participants. Finally, the plasma concentrations of several biomarkers were associated with their expression levels in lung tissue as well as the expression of P16.Our results suggest that circulating levels of candidate senescence biomarkers are informative of disease status, pulmonary and physical function, and health-related quality of life. Additional studies are needed to validate the combinatorial biomarkers signatures that emerged using a machine learning approach." @default.
• W4362699423 created "2023-04-09" @default.
• W4362699423 creator A5007441721 @default.
• W4362699423 creator A5012824258 @default.
• W4362699423 creator A5014342029 @default.
• W4362699423 creator A5026673213 @default.
• W4362699423 creator A5038589760 @default.
• W4362699423 creator A5044875947 @default.
• W4362699423 creator A5049778012 @default.
• W4362699423 creator A5053804590 @default.
• W4362699423 creator A5073568638 @default.
• W4362699423 creator A5077697121 @default.
• W4362699423 creator A5083278536 @default.
• W4362699423 date "2023-04-07" @default.
• W4362699423 modified "2023-10-17" @default.
• W4362699423 title "Biomarkers of cellular senescence in idiopathic pulmonary fibrosis" @default.
• W4362699423 cites W1545271627 @default.
• W4362699423 cites W1932046626 @default.
• W4362699423 cites W1990584310 @default.
• W4362699423 cites W2007414618 @default.
• W4362699423 cites W2031322542 @default.
• W4362699423 cites W2098930053 @default.
• W4362699423 cites W2115852450 @default.
• W4362699423 cites W2130839876 @default.
• W4362699423 cites W2132016518 @default.
• W4362699423 cites W2140930678 @default.
• W4362699423 cites W2160639837 @default.
• W4362699423 cites W2167383172 @default.
• W4362699423 cites W2346999058 @default.
• W4362699423 cites W2533435663 @default.
• W4362699423 cites W2591114726 @default.
• W4362699423 cites W2592042291 @default.
• W4362699423 cites W2599075603 @default.
• W4362699423 cites W2744177930 @default.
• W4362699423 cites W2745032521 @default.
• W4362699423 cites W2762514850 @default.
• W4362699423 cites W2799479598 @default.
• W4362699423 cites W2815133411 @default.
• W4362699423 cites W2860743873 @default.
• W4362699423 cites W2906721882 @default.
• W4362699423 cites W2947039582 @default.
• W4362699423 cites W2969366096 @default.
• W4362699423 cites W2994160326 @default.
• W4362699423 cites W3011623493 @default.
• W4362699423 cites W3021543659 @default.
• W4362699423 cites W3036659787 @default.
• W4362699423 cites W3089433670 @default.
• W4362699423 cites W3094049770 @default.
• W4362699423 cites W3111207111 @default.
• W4362699423 cites W3159878535 @default.
• W4362699423 cites W3183729161 @default.
• W4362699423 cites W4308767256 @default.
• W4362699423 doi "https://doi.org/10.1186/s12931-023-02403-8" @default.
• W4362699423 hasPubMedId "https://pubmed.ncbi.nlm.nih.gov/37029417" @default.
• W4362699423 hasPublicationYear "2023" @default.
• W4362699423 type Work @default.
• W4362699423 citedByCount "3" @default.
• W4362699423 countsByYear W43626994232023 @default.
• W4362699423 crossrefType "journal-article" @default.
• W4362699423 hasAuthorship W4362699423A5007441721 @default.
• W4362699423 hasAuthorship W4362699423A5012824258 @default.
• W4362699423 hasAuthorship W4362699423A5014342029 @default.
• W4362699423 hasAuthorship W4362699423A5026673213 @default.
• W4362699423 hasAuthorship W4362699423A5038589760 @default.
• W4362699423 hasAuthorship W4362699423A5044875947 @default.
• W4362699423 hasAuthorship W4362699423A5049778012 @default.
• W4362699423 hasAuthorship W4362699423A5053804590 @default.
• W4362699423 hasAuthorship W4362699423A5073568638 @default.
• W4362699423 hasAuthorship W4362699423A5077697121 @default.
• W4362699423 hasAuthorship W4362699423A5083278536 @default.
• W4362699423 hasBestOaLocation W43626994231 @default.
• W4362699423 hasConcept C126322002 @default.
• W4362699423 hasConcept C142724271 @default.
• W4362699423 hasConcept C203014093 @default.
• W4362699423 hasConcept C2777714996 @default.
• W4362699423 hasConcept C2778341716 @default.
• W4362699423 hasConcept C2779134260 @default.
• W4362699423 hasConcept C2780559512 @default.
• W4362699423 hasConcept C2781197716 @default.
• W4362699423 hasConcept C2781244666 @default.
• W4362699423 hasConcept C522857546 @default.
• W4362699423 hasConcept C54355233 @default.
• W4362699423 hasConcept C71924100 @default.
• W4362699423 hasConcept C75603125 @default.
• W4362699423 hasConcept C86803240 @default.
• W4362699423 hasConceptScore W4362699423C126322002 @default.
• W4362699423 hasConceptScore W4362699423C142724271 @default.
• W4362699423 hasConceptScore W4362699423C203014093 @default.
• W4362699423 hasConceptScore W4362699423C2777714996 @default.
• W4362699423 hasConceptScore W4362699423C2778341716 @default.
• W4362699423 hasConceptScore W4362699423C2779134260 @default.
• W4362699423 hasConceptScore W4362699423C2780559512 @default.
• W4362699423 hasConceptScore W4362699423C2781197716 @default.
• W4362699423 hasConceptScore W4362699423C2781244666 @default.
• W4362699423 hasConceptScore W4362699423C522857546 @default.
• W4362699423 hasConceptScore W4362699423C54355233 @default.
• W4362699423 hasConceptScore W4362699423C71924100 @default.
• W4362699423 hasConceptScore W4362699423C75603125 @default.
• W4362699423 hasConceptScore W4362699423C86803240 @default.
• W4362699423 hasFunder F4320306710 @default.

• next