Evaluation of procedures for normalizing and analyzing SomaScan proteomics assay

The aptamer-based SomaScan assay measures thousands of proteins. SomaLogic provides a multi-step pre-processing procedure to reduce the technical variability of this data. This paper will evaluate how each step of this procedure affects analysis results. We performed a comparative assessment using data from two randomised clinical trials in weight management. We show that SomaLogic’s adaptive normalization by maximum likelihood (ANML) procedure introduces a bias to fold change estimates, with a median bias of + 3.7 and + 3.4% in the two trials. The bias was confirmed by a simulation study, where ANML introduced false positive findings. Additionally, their plate scaling procedure has no effect on data when the calibration step is included. However, SomaLogic’s pipeline excluding ANML does reduce technical variability without a substantial impact on fold change estimates. We recommend that researchers considering the use of ANML in clinical trials should verify the absence of this bias.

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Publication Details

Journal
Scientific Reports
Published
2026-08-21
DOI
https://doi.org/10.1038/s41598-026-67717-1
Primary Topic
Advanced Proteomics Techniques and Applications
Type
article
Field-Weighted Citation Impact
0.00

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article

Evaluation of procedures for normalizing and analyzing SomaScan proteomics assay

Steen Ladelund, Lasse Maretty, Dirk Valkenborg, José M. G. Izarzugaza et al.
Scientific Reports
Advanced Proteomics Techniques and Applications
article

Evaluation of procedures for normalizing and analyzing SomaScan proteomics assay

Steen Ladelund, Lasse Maretty, Dirk Valkenborg, José M. G. Izarzugaza, Milan Geybels, Michael C. B. Galanakis, Medha Srikantapuram, Kristian M. Bendtsen
article en

Abstract

The aptamer-based SomaScan assay measures thousands of proteins. SomaLogic provides a multi-step pre-processing procedure to reduce the technical variability of this data. This paper will evaluate how each step of this procedure affects analysis results. We performed a comparative assessment using data from two randomised clinical trials in weight management. We show that SomaLogic’s adaptive normalization by maximum likelihood (ANML) procedure introduces a bias to fold change estimates, with a median bias of + 3.7 and + 3.4% in the two trials. The bias was confirmed by a simulation study, where ANML introduced false positive findings. Additionally, their plate scaling procedure has no effect on data when the calibration step is included. However, SomaLogic’s pipeline excluding ANML does reduce technical variability without a substantial impact on fold change estimates. We recommend that researchers considering the use of ANML in clinical trials should verify the absence of this bias.

Scientific Reports
Novo Nordisk (Denmark) (DK), Novo Nordisk (India) (IN), Hasselt University (BE)
Novo Nordisk
Openalex Percentile: Top 19%
Advanced Proteomics Techniques and Applications
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