FRINK Linked Data Fragments server

Matches in SemOpenAlex for { <https://semopenalex.org/work/W1655442057> ?p ?o ?g. }

• W1655442057 endingPage "190" @default.
• W1655442057 startingPage "181" @default.
• W1655442057 abstract "Individual response to an immune challenge results from the optimization of a trade-off between benefits and costs of immune cell activation. Age-related immune disorders may have several mechanistic bases, from immune cell defects to chronic pro-inflammatory status and oxidative imbalance, but we are still lacking experimental data showing the relative importance of each of these mechanisms. Using a proteomic approach and subsequent biochemical validations of proteomics-derived hypotheses, we found age-dependent regulations in the liver of 3-months and 1-year old-mice in response to an acute innate immune activation. Old mice presented a chronic up-regulation of several proteins involved in pathways related to oxidative stress control. Interestingly, these pathways were weakly affected by the innate immune activation in old compared to young individuals. In addition, old mice suffered from lower glutathione-S-transferase activity and from higher oxidative damage at the end of the experiment, thus suggesting that they paid a higher immune-related cost than young individuals. On the whole, our data showed that a substantial fraction of the liver costs elicited by an activation of the innate immune response is effectively related to oxidative stress, and that ageing impairs the capacity of old individuals to control it.Our paper tackles the open question of the cost of mounting an innate immune response. Evolutionary biologists are familiar since a long time with the concept of trade-offs among key traits of an organism, trade-offs that shape life history trajectories of species and individuals, ultimately in terms of reproduction and survival. On the other hand, medicine and molecular biologists study the intimate mechanisms of immune senescence and underline that oxidative imbalance is probably playing a key role in the progressive loss of immune function with age. This paper merges the two fields by exploring the nature of the cellular pathways that are mainly affected by age when the innate immunity is triggered. To this purpose, a proteomic approach was used to explore liver protein profiles and provide for the first time convincing data supporting the idea that oxidative stress constitutes a cost of innate immune response in old mice, possibly contributing to senescence. Proteomics-derived hypotheses were furthermore validated using biochemical assays. This paper therefore illustrates the added value of using proteomics to answer evolutionary biology questions, and opens a promising way to study the inter-specific variability in the rates of immune-senescence." @default.
• W1655442057 created "2016-06-24" @default.
• W1655442057 creator A5010920048 @default.
• W1655442057 creator A5025070647 @default.
• W1655442057 creator A5037349041 @default.
• W1655442057 creator A5055969934 @default.
• W1655442057 creator A5075195429 @default.
• W1655442057 creator A5080327662 @default.
• W1655442057 creator A5083224434 @default.
• W1655442057 creator A5091280600 @default.
• W1655442057 date "2016-03-01" @default.
• W1655442057 modified "2023-10-09" @default.
• W1655442057 title "Differential proteomics reveals age-dependent liver oxidative costs of innate immune activation in mice" @default.
• W1655442057 cites W106671876 @default.
• W1655442057 cites W1481311136 @default.
• W1655442057 cites W1544077700 @default.
• W1655442057 cites W1971159072 @default.
• W1655442057 cites W1980132403 @default.
• W1655442057 cites W1993091967 @default.
• W1655442057 cites W1995772515 @default.
• W1655442057 cites W1995837138 @default.
• W1655442057 cites W1996490949 @default.
• W1655442057 cites W1997412308 @default.
• W1655442057 cites W2000372325 @default.
• W1655442057 cites W2007452107 @default.
• W1655442057 cites W2023095530 @default.
• W1655442057 cites W2024256058 @default.
• W1655442057 cites W2024657158 @default.
• W1655442057 cites W2025926899 @default.
• W1655442057 cites W2026711486 @default.
• W1655442057 cites W2026975334 @default.
• W1655442057 cites W2031193867 @default.
• W1655442057 cites W2034676721 @default.
• W1655442057 cites W2037555606 @default.
• W1655442057 cites W2038421748 @default.
• W1655442057 cites W2038689279 @default.
• W1655442057 cites W2043464691 @default.
• W1655442057 cites W2043896568 @default.
• W1655442057 cites W2045107302 @default.
• W1655442057 cites W2045264627 @default.
• W1655442057 cites W2047275456 @default.
• W1655442057 cites W2048333869 @default.
• W1655442057 cites W2058113350 @default.
• W1655442057 cites W2058151416 @default.
• W1655442057 cites W2058601621 @default.
• W1655442057 cites W2058673360 @default.
• W1655442057 cites W2077262948 @default.
• W1655442057 cites W2078139350 @default.
• W1655442057 cites W2080311659 @default.
• W1655442057 cites W2080700230 @default.
• W1655442057 cites W2081868777 @default.
• W1655442057 cites W2087952796 @default.
• W1655442057 cites W2088210870 @default.
• W1655442057 cites W2091354271 @default.
• W1655442057 cites W2101651261 @default.
• W1655442057 cites W2101861123 @default.
• W1655442057 cites W2102619095 @default.
• W1655442057 cites W2103289907 @default.
• W1655442057 cites W2104790095 @default.
• W1655442057 cites W2115145729 @default.
• W1655442057 cites W2130133091 @default.
• W1655442057 cites W2133449490 @default.
• W1655442057 cites W2135793165 @default.
• W1655442057 cites W2138463718 @default.
• W1655442057 cites W2145484835 @default.
• W1655442057 cites W2146778847 @default.
• W1655442057 cites W2149667429 @default.
• W1655442057 cites W2150849085 @default.
• W1655442057 cites W2152085343 @default.
• W1655442057 cites W2152877666 @default.
• W1655442057 cites W2154121558 @default.
• W1655442057 cites W2157409885 @default.
• W1655442057 cites W2157455146 @default.
• W1655442057 cites W2159181611 @default.
• W1655442057 cites W2166998713 @default.
• W1655442057 cites W2171215342 @default.
• W1655442057 cites W2173186944 @default.
• W1655442057 cites W2315512556 @default.
• W1655442057 cites W2334273097 @default.
• W1655442057 cites W4293247451 @default.
• W1655442057 cites W97354292 @default.
• W1655442057 doi "https://doi.org/10.1016/j.jprot.2015.09.008" @default.
• W1655442057 hasPubMedId "https://pubmed.ncbi.nlm.nih.gov/26376096" @default.
• W1655442057 hasPublicationYear "2016" @default.
• W1655442057 type Work @default.
• W1655442057 sameAs 1655442057 @default.
• W1655442057 citedByCount "7" @default.
• W1655442057 countsByYear W16554420572018 @default.
• W1655442057 countsByYear W16554420572019 @default.
• W1655442057 countsByYear W16554420572020 @default.
• W1655442057 countsByYear W16554420572021 @default.
• W1655442057 crossrefType "journal-article" @default.
• W1655442057 hasAuthorship W1655442057A5010920048 @default.
• W1655442057 hasAuthorship W1655442057A5025070647 @default.
• W1655442057 hasAuthorship W1655442057A5037349041 @default.
• W1655442057 hasAuthorship W1655442057A5055969934 @default.
• W1655442057 hasAuthorship W1655442057A5075195429 @default.
• W1655442057 hasAuthorship W1655442057A5080327662 @default.

• next