FRINK Linked Data Fragments server

Matches in SemOpenAlex for { <https://semopenalex.org/work/W4292960147> ?p ?o ?g. }

• W4292960147 abstract "Background Coronavirus disease 2019 (COVID-19) caused by severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2) has caused significant loss of life and property. In response to the serious pandemic, recently developed vaccines against SARS-CoV-2 have been administrated to the public. Nevertheless, the research on human immunization response against COVID-19 vaccines is insufficient. Although much information associated with vaccine efficacy, safety and immunogenicity has been reported by pharmaceutical companies based on laboratory studies and clinical trials, vaccine evaluation needs to be extended further to better understand the effect of COVID-19 vaccines on human beings. Methods We performed a comparative peptidome analysis on serum samples from 95 participants collected at four time points before and after receiving CoronaVac. The collected serum samples were analyzed by matrix-assisted laser desorption/ionization time-of-flight mass spectrometry (MALDI-TOF MS) to profile the serum peptides, and also subjected to humoral and cellular immune response analyses to obtain typical immunogenicity information. Results Significant difference in serum peptidome profiles by MALDI-TOF MS was observed after vaccination. By supervised statistical analysis, a total of 13 serum MALDI-TOF MS feature peaks were obtained on day 28 and day 42 of vaccination. The feature peaks were identified as component C1q receptor, CD59 glycoprotein, mannose-binding protein C, platelet basic protein, CD99 antigen, Leucine-rich alpha-2-glycoprotein, integral membrane protein 2B, platelet factor 4 and hemoglobin subunits. Combining with immunogenicity analysis, the study provided evidence for the humoral and cellular immune responses activated by CoronaVac. Furthermore, we found that it is possible to distinguish neutralizing antibody (NAbs)-positive from NAbs-negative individuals after complete vaccination using the serum peptidome profiles by MALDI-TOF MS together with machine learning methods, including random forest (RF), partial least squares-discriminant analysis (PLS-DA), linear support vector machine (SVM) and logistic regression (LR). Conclusions The study shows the promise of MALDI-TOF MS-based serum peptidome analysis for the assessment of immune responses activated by COVID-19 vaccination, and discovered a panel of serum peptides biomarkers for COVID-19 vaccination and for NAbs generation. The method developed in this study can help not only in the development of new vaccines, but also in the post-marketing evaluation of developed vaccines." @default.
• W4292960147 created "2022-08-24" @default.
• W4292960147 creator A5000964895 @default.
• W4292960147 creator A5009613920 @default.
• W4292960147 creator A5015674482 @default.
• W4292960147 creator A5021874293 @default.
• W4292960147 creator A5037247761 @default.
• W4292960147 creator A5041393167 @default.
• W4292960147 creator A5057209439 @default.
• W4292960147 creator A5058569231 @default.
• W4292960147 creator A5058899863 @default.
• W4292960147 creator A5075736599 @default.
• W4292960147 creator A5086315742 @default.
• W4292960147 creator A5090735375 @default.
• W4292960147 date "2022-08-24" @default.
• W4292960147 modified "2023-10-18" @default.
• W4292960147 title "Serum peptidome profiles immune response of COVID-19 Vaccine administration" @default.
• W4292960147 cites W2009959546 @default.
• W4292960147 cites W2087299467 @default.
• W4292960147 cites W2110963215 @default.
• W4292960147 cites W2145526657 @default.
• W4292960147 cites W2147214095 @default.
• W4292960147 cites W2603710736 @default.
• W4292960147 cites W2910730299 @default.
• W4292960147 cites W2915580546 @default.
• W4292960147 cites W2921050020 @default.
• W4292960147 cites W2928665623 @default.
• W4292960147 cites W2974361058 @default.
• W4292960147 cites W3002108456 @default.
• W4292960147 cites W3009335299 @default.
• W4292960147 cites W3012650581 @default.
• W4292960147 cites W3013660050 @default.
• W4292960147 cites W3017390697 @default.
• W4292960147 cites W3017962953 @default.
• W4292960147 cites W3020655115 @default.
• W4292960147 cites W3024643080 @default.
• W4292960147 cites W3028711203 @default.
• W4292960147 cites W3034168389 @default.
• W4292960147 cites W3034605927 @default.
• W4292960147 cites W3036886091 @default.
• W4292960147 cites W3041015230 @default.
• W4292960147 cites W3041335276 @default.
• W4292960147 cites W3042821349 @default.
• W4292960147 cites W3046588153 @default.
• W4292960147 cites W3047564875 @default.
• W4292960147 cites W3048799641 @default.
• W4292960147 cites W3049168405 @default.
• W4292960147 cites W3081752913 @default.
• W4292960147 cites W3082011975 @default.
• W4292960147 cites W3082365904 @default.
• W4292960147 cites W3085046828 @default.
• W4292960147 cites W3088489318 @default.
• W4292960147 cites W3090844627 @default.
• W4292960147 cites W3092552393 @default.
• W4292960147 cites W3092755685 @default.
• W4292960147 cites W3093108420 @default.
• W4292960147 cites W3112498001 @default.
• W4292960147 cites W3120994437 @default.
• W4292960147 cites W3121691244 @default.
• W4292960147 cites W3132811058 @default.
• W4292960147 cites W3133132602 @default.
• W4292960147 cites W3133936567 @default.
• W4292960147 cites W3134470622 @default.
• W4292960147 cites W3135074583 @default.
• W4292960147 cites W3153508314 @default.
• W4292960147 cites W3170224888 @default.
• W4292960147 cites W3172785218 @default.
• W4292960147 cites W3173198934 @default.
• W4292960147 cites W3176668337 @default.
• W4292960147 cites W3177730708 @default.
• W4292960147 cites W3179399516 @default.
• W4292960147 cites W3182310754 @default.
• W4292960147 cites W3185014427 @default.
• W4292960147 cites W3185657171 @default.
• W4292960147 cites W3190590723 @default.
• W4292960147 cites W3191322063 @default.
• W4292960147 cites W3203248391 @default.
• W4292960147 cites W3204216693 @default.
• W4292960147 cites W4214687460 @default.
• W4292960147 cites W4226441364 @default.
• W4292960147 cites W4281732387 @default.
• W4292960147 doi "https://doi.org/10.3389/fimmu.2022.956369" @default.
• W4292960147 hasPubMedId "https://pubmed.ncbi.nlm.nih.gov/36091008" @default.
• W4292960147 hasPublicationYear "2022" @default.
• W4292960147 type Work @default.
• W4292960147 citedByCount "1" @default.
• W4292960147 countsByYear W42929601472023 @default.
• W4292960147 crossrefType "journal-article" @default.
• W4292960147 hasAuthorship W4292960147A5000964895 @default.
• W4292960147 hasAuthorship W4292960147A5009613920 @default.
• W4292960147 hasAuthorship W4292960147A5015674482 @default.
• W4292960147 hasAuthorship W4292960147A5021874293 @default.
• W4292960147 hasAuthorship W4292960147A5037247761 @default.
• W4292960147 hasAuthorship W4292960147A5041393167 @default.
• W4292960147 hasAuthorship W4292960147A5057209439 @default.
• W4292960147 hasAuthorship W4292960147A5058569231 @default.
• W4292960147 hasAuthorship W4292960147A5058899863 @default.
• W4292960147 hasAuthorship W4292960147A5075736599 @default.
• W4292960147 hasAuthorship W4292960147A5086315742 @default.
• W4292960147 hasAuthorship W4292960147A5090735375 @default.

• next