FRINK Linked Data Fragments server

Matches in SemOpenAlex for { <https://semopenalex.org/work/W2810967227> ?p ?o ?g. }

• W2810967227 endingPage "780" @default.
• W2810967227 startingPage "766" @default.
• W2810967227 abstract "The stress metabolome provides a thorough insight into the signals and hence mechanisms of response of organisms. This is an excellent tool to advance the understanding of interactions, especially for substances like nanomaterials (NMs), for which there is an urgent need for alternative methods for hazard assessment. The metabolome of Enchytraeus crypticus was studied for the first time. The case study, CuO NM (and CuCl2) covered exposure along a time frame [0–7–14 days (d)] and two reproduction effect concentrations (EC10 and EC50). High-performance liquid chromatography-mass spectrometry based method (HPLC-MS) was used, with reversed phase (RP) separation and mass spectrometric detection in positive and negative modes. Metabolite profiling of Cu materials yielded 155 and 382 metabolite features in positive and negative modes, respectively, showing an expression related with time, material, and ECx. The number of differentially expressed metabolites (DEMs) decreased with exposure time (14 d) for CuO NM, whereas for CuCl2 EC50 it increased. Overall, almost all DEMs are down-regulated for CuO NM and up-regulated for CuCl2 (both modes). Early effects were mainly related to amino acids and later to lysophospholipids (down-regulation). Furthermore, the underlying mechanisms of CuO NM toxicity (e.g. neurotransmission, nucleic acids generation, cellular energy, and immune defense) differ from CuCl2, where later metabolomic responses are mostly linked to the metabolism of lipids and fewer to amino acids. This study reports a large scale metabolome profiling for E. crypticus and identifies potential markers of Cu materials, which can help to align intelligent testing strategies and safer-by-design materials." @default.
• W2810967227 created "2018-07-10" @default.
• W2810967227 creator A5024215387 @default.
• W2810967227 creator A5025971545 @default.
• W2810967227 creator A5038264749 @default.
• W2810967227 creator A5046795892 @default.
• W2810967227 creator A5054358594 @default.
• W2810967227 creator A5073053565 @default.
• W2810967227 date "2018-06-22" @default.
• W2810967227 modified "2023-09-27" @default.
• W2810967227 title "The <i>Enchytraeus crypticus</i> stress metabolome – CuO NM case study" @default.
• W2810967227 cites W1021055550 @default.
• W2810967227 cites W1129978883 @default.
• W2810967227 cites W1511828264 @default.
• W2810967227 cites W1519464708 @default.
• W2810967227 cites W1544388232 @default.
• W2810967227 cites W1589724644 @default.
• W2810967227 cites W1593125638 @default.
• W2810967227 cites W1611854178 @default.
• W2810967227 cites W1653371046 @default.
• W2810967227 cites W1691339477 @default.
• W2810967227 cites W1835740130 @default.
• W2810967227 cites W1867583111 @default.
• W2810967227 cites W1879988312 @default.
• W2810967227 cites W1927591950 @default.
• W2810967227 cites W1968580491 @default.
• W2810967227 cites W1969839746 @default.
• W2810967227 cites W1973470842 @default.
• W2810967227 cites W1975997458 @default.
• W2810967227 cites W1979008967 @default.
• W2810967227 cites W1986987356 @default.
• W2810967227 cites W1996157249 @default.
• W2810967227 cites W1996212173 @default.
• W2810967227 cites W2010200904 @default.
• W2810967227 cites W2022357940 @default.
• W2810967227 cites W2025723398 @default.
• W2810967227 cites W2028567583 @default.
• W2810967227 cites W2037756605 @default.
• W2810967227 cites W2048740470 @default.
• W2810967227 cites W2052388444 @default.
• W2810967227 cites W2052820536 @default.
• W2810967227 cites W2055797078 @default.
• W2810967227 cites W2070955427 @default.
• W2810967227 cites W2072345280 @default.
• W2810967227 cites W2078418052 @default.
• W2810967227 cites W2079625395 @default.
• W2810967227 cites W2081465448 @default.
• W2810967227 cites W2084375915 @default.
• W2810967227 cites W2086365013 @default.
• W2810967227 cites W2093144303 @default.
• W2810967227 cites W2098726799 @default.
• W2810967227 cites W2104877103 @default.
• W2810967227 cites W2105438157 @default.
• W2810967227 cites W2112861594 @default.
• W2810967227 cites W2115596383 @default.
• W2810967227 cites W2117665793 @default.
• W2810967227 cites W2120868713 @default.
• W2810967227 cites W2133505228 @default.
• W2810967227 cites W2139121213 @default.
• W2810967227 cites W2139301359 @default.
• W2810967227 cites W2145606314 @default.
• W2810967227 cites W2162159731 @default.
• W2810967227 cites W2164765610 @default.
• W2810967227 cites W2168066051 @default.
• W2810967227 cites W2168337461 @default.
• W2810967227 cites W2168367599 @default.
• W2810967227 cites W2192604328 @default.
• W2810967227 cites W2203042469 @default.
• W2810967227 cites W2265759420 @default.
• W2810967227 cites W2288842989 @default.
• W2810967227 cites W2324506251 @default.
• W2810967227 cites W2329881622 @default.
• W2810967227 cites W2463171929 @default.
• W2810967227 cites W2513381756 @default.
• W2810967227 cites W2559774203 @default.
• W2810967227 cites W2588669779 @default.
• W2810967227 cites W2608404625 @default.
• W2810967227 cites W264576957 @default.
• W2810967227 cites W2742765831 @default.
• W2810967227 cites W2744886231 @default.
• W2810967227 cites W2751313075 @default.
• W2810967227 cites W2791878075 @default.
• W2810967227 cites W2794097435 @default.
• W2810967227 cites W31644276 @default.
• W2810967227 cites W396404384 @default.
• W2810967227 cites W4233613918 @default.
• W2810967227 cites W4253659132 @default.
• W2810967227 cites W4256298731 @default.
• W2810967227 doi "https://doi.org/10.1080/17435390.2018.1481237" @default.
• W2810967227 hasPubMedId "https://pubmed.ncbi.nlm.nih.gov/29933707" @default.
• W2810967227 hasPublicationYear "2018" @default.
• W2810967227 type Work @default.
• W2810967227 sameAs 2810967227 @default.
• W2810967227 citedByCount "11" @default.
• W2810967227 countsByYear W28109672272019 @default.
• W2810967227 countsByYear W28109672272020 @default.
• W2810967227 countsByYear W28109672272021 @default.
• W2810967227 countsByYear W28109672272023 @default.

• next