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Title:          Unbiased plasma proteomics discovery of biomarkers for improved detection of subclinical atherosclerosis
Subject:        eBioMedicine, 76 (2022) 103874. doi:10.1016/j.ebiom.2022.103874
Keywords:       "Subclinical atherosclerosis"; "Proteomics"; "Biomarkers"; "IGHA2"; "APOA"; "HPT"
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      Title: Unbiased plasma proteomics discovery of biomarkers for improved detection of subclinical atherosclerosis
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        Title: Introduction
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        Title: Methods
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         Item: 
          Title: Study populations and assessment of subclinical atherosclerosis
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          Title: Protein digestion for proteomics
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          Title: TMT labeling
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          Title: Peptide fractionation
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          Title: LC-MS analysis
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          Title: Protein identification
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          Title: Protein quantification
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          Title: Immunoturbidimetry
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          Title: Machine learning
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          Title: Statistics
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          Title: Ethics
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          Title: Role of funders
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        Title: Results
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          Title: Unbiased discovery of plasma proteins associated to subclinical atherosclerosis
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         Item: 
          Title: Validation of protein associations by proteomics and turbidimetry in the AWHS cohort
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         Item: 
          Title: Validation of protein associations by turbidimetry in the ILERVAS cohort
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          Title: Potential to predict the presence of subclinical atherosclerosis
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        Title: Declaration of interests
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          Title: Acknowledgments
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          Title: Data sharing statement
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  Checksum: 58b08ac1
   Type: CRC32
  Checksum: 30136bac6e85a4ae5e4b4c5f8b1d3937
   Type: MD5
  Checksum: cd90db75088224cd87d7d0f3fe275fa3ce156414
   Type: SHA-1