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Comparative Analysis Between Olink-PEA and Alamar-NULISA Proteomic Technologies Applied to a Critically Ill COVID-19 Cohort

  • Sara Taleb
  • , Nisha Stephan
  • , Sareena Chennakkandathil
  • , Muhammad Umar Sohail
  • , Sondos Yousef
  • , Hina Sarwath
  • , Muna Al-Noubi
  • , Karsten Suhre
  • , Ali Ait Hssain
  • , Frank Schmidt*
  • *Corresponding author for this work
  • Weill Cornell Medicine-Qatar
  • Hamad Medical Corporation
  • HBKU College of Health and Life Sciences

Research output: Contribution to journalArticlepeer-review

Abstract

We aim to verify and validate low-abundant plasma proteins from severe COVID-19 cases and controls through a comparative analysis between Olink and Alamar performances. Eighty-three severe cases and 44 controls were measured for proteomics using three Olink panels and one Alamar panel, which share 94 targets. CV, pairwise correlation of intensity signals, and detectability range were compared across platforms. Statistical comparisons were performed using FDR-adjusted linear models with age as a covariate to construct differential protein abundance volcano plots between cases and controls per platform and heatmaps between our cohort and five public cohorts. Overall, pairwise comparisons (n = 94) showed strong correlations among cases (r = 0.82) and controls (r = 0.7). 60/94 proteins had mutual significance on both platforms; of which 54 showed concordant effect direction, and six showed opposite effect direction (IL-6R, IL-1R2, KITLG, TSLP, IL-17C, and IL-4R). Alamar verified 80 and 60 targets from cases and controls, respectively, along with 54 differential proteins from Olink. Compared to public cohorts measured by Olink, our Olink data showed consistent findings from 28 proteins, of which 27 were validated by Alamar.

Original languageEnglish
Pages (from-to)6-15
Number of pages10
JournalProteomics
Volume25
Issue number23
DOIs
Publication statusPublished - Dec 2025

Keywords

  • Alamar
  • Covid-19
  • Cytokines
  • Olink
  • Proteomics

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