Matches in SemOpenAlex for { <https://semopenalex.org/work/W4385383417> ?p ?o ?g. }
- W4385383417 endingPage "104979" @default.
- W4385383417 startingPage "104979" @default.
- W4385383417 abstract "Aging is accompanied by deterioration in physical condition, and creates high risks of diseases. Stem cell therapy exhibited promising potential in delaying aging. However, the unelucidated therapeutic mechanism limits future clinical application. Herein, to systematically understand the response to stem cell transfusion at the molecular level, we performed quantitative serum proteomic and peptidomics analyses in the 24-month-old aging mice model with or without mesenchymal stem cell (MSC) treatment. As a result, a total of 560 proteins and 2131 endogenous peptides were identified, among which, 6 proteins and 9 endogenous peptides derived from 6 precursor proteins were finally identified as therapeutic biomarkers after MSC transfusion on aging mice both by untargeted label-free quantification and targeted parallel reaction monitoring (PRM) quantification. Amazingly, the biological function of these differential proteins was mainly related to inflammation, which is not only the important hallmark of aging, but also the main cause of inducing aging. The reduction of these inflammatory protein content after MSC treatment further suggests the anti-inflammatory effect of MSC therapy reported elsewhere. Therefore, our study provides new evidence for the anti-inflammatory effect of MSC therapy for anti-aging and offers abundant data to support deeper investigations of the therapeutic mechanism of MSC in delaying aging." @default.
- W4385383417 created "2023-07-30" @default.
- W4385383417 creator A5000168358 @default.
- W4385383417 creator A5007451023 @default.
- W4385383417 creator A5042973046 @default.
- W4385383417 creator A5066974536 @default.
- W4385383417 creator A5076323336 @default.
- W4385383417 creator A5077889793 @default.
- W4385383417 creator A5081239726 @default.
- W4385383417 creator A5084128157 @default.
- W4385383417 date "2023-09-01" @default.
- W4385383417 modified "2023-10-05" @default.
- W4385383417 title "Anti-inflammatory therapeutic biomarkers identified of human bone marrow mesenchymal stem cell therapy on aging mice by serum proteomics and peptidomics study" @default.
- W4385383417 cites W1658682427 @default.
- W4385383417 cites W1666525847 @default.
- W4385383417 cites W1832678746 @default.
- W4385383417 cites W2019129936 @default.
- W4385383417 cites W2024275519 @default.
- W4385383417 cites W2042762771 @default.
- W4385383417 cites W2061914941 @default.
- W4385383417 cites W2091526175 @default.
- W4385383417 cites W2093092016 @default.
- W4385383417 cites W2117039580 @default.
- W4385383417 cites W2126525177 @default.
- W4385383417 cites W2128276881 @default.
- W4385383417 cites W2133247579 @default.
- W4385383417 cites W2139473917 @default.
- W4385383417 cites W2156041841 @default.
- W4385383417 cites W2156215288 @default.
- W4385383417 cites W2160392015 @default.
- W4385383417 cites W2164633840 @default.
- W4385383417 cites W2194928240 @default.
- W4385383417 cites W2350256796 @default.
- W4385383417 cites W2558878207 @default.
- W4385383417 cites W2578607616 @default.
- W4385383417 cites W2588427439 @default.
- W4385383417 cites W2604710163 @default.
- W4385383417 cites W2608066436 @default.
- W4385383417 cites W2751842977 @default.
- W4385383417 cites W2763976074 @default.
- W4385383417 cites W2777892103 @default.
- W4385383417 cites W2783874580 @default.
- W4385383417 cites W2791670039 @default.
- W4385383417 cites W2795543441 @default.
- W4385383417 cites W2796142615 @default.
- W4385383417 cites W2900827570 @default.
- W4385383417 cites W2904924273 @default.
- W4385383417 cites W2915882585 @default.
- W4385383417 cites W2936366750 @default.
- W4385383417 cites W2953869209 @default.
- W4385383417 cites W2958555983 @default.
- W4385383417 cites W2995980620 @default.
- W4385383417 cites W3014620895 @default.
- W4385383417 cites W3015799580 @default.
- W4385383417 cites W3023712874 @default.
- W4385383417 cites W3024110066 @default.
- W4385383417 cites W3084732448 @default.
- W4385383417 cites W3119383938 @default.
- W4385383417 cites W3130239833 @default.
- W4385383417 cites W3139191177 @default.
- W4385383417 cites W3153162508 @default.
- W4385383417 cites W3153813549 @default.
- W4385383417 cites W3159338904 @default.
- W4385383417 cites W3168037248 @default.
- W4385383417 cites W3179039447 @default.
- W4385383417 cites W3198838653 @default.
- W4385383417 cites W3201072771 @default.
- W4385383417 cites W3206142581 @default.
- W4385383417 cites W4200189653 @default.
- W4385383417 cites W4220854904 @default.
- W4385383417 cites W4282563635 @default.
- W4385383417 cites W4306992907 @default.
- W4385383417 cites W4307708247 @default.
- W4385383417 cites W4308194555 @default.
- W4385383417 doi "https://doi.org/10.1016/j.jprot.2023.104979" @default.
- W4385383417 hasPubMedId "https://pubmed.ncbi.nlm.nih.gov/37524227" @default.
- W4385383417 hasPublicationYear "2023" @default.
- W4385383417 type Work @default.
- W4385383417 citedByCount "0" @default.
- W4385383417 crossrefType "journal-article" @default.
- W4385383417 hasAuthorship W4385383417A5000168358 @default.
- W4385383417 hasAuthorship W4385383417A5007451023 @default.
- W4385383417 hasAuthorship W4385383417A5042973046 @default.
- W4385383417 hasAuthorship W4385383417A5066974536 @default.
- W4385383417 hasAuthorship W4385383417A5076323336 @default.
- W4385383417 hasAuthorship W4385383417A5077889793 @default.
- W4385383417 hasAuthorship W4385383417A5081239726 @default.
- W4385383417 hasAuthorship W4385383417A5084128157 @default.
- W4385383417 hasBestOaLocation W43853834171 @default.
- W4385383417 hasConcept C104317684 @default.
- W4385383417 hasConcept C10882517 @default.
- W4385383417 hasConcept C126322002 @default.
- W4385383417 hasConcept C142724271 @default.
- W4385383417 hasConcept C1491633281 @default.
- W4385383417 hasConcept C16613235 @default.
- W4385383417 hasConcept C198826908 @default.
- W4385383417 hasConcept C203014093 @default.
- W4385383417 hasConcept C2776914184 @default.