Cited by 21Inflammation biomarkers and pathwaysClinical Laboratory Practices and Quality ControlBiomarkers in Disease Mechanisms

Assay-related differences in SuPAR levels: implications for measurement and data interpretation

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Vasbinder, Alexi, Raffield, Laura Marie, Gao, Yan, Engstrom, Gunnar, Quyyumi, Arshed Ali, Reiner, Alexander Paul, Reiser, Jochen, Hayek, Salim Salim·2023·Journal of Nephrology

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Abstract

ABSTRACT With the growing interest in studying the role of soluble urokinase plasminogen activator receptor (suPAR) in kidney and other diseases, levels are now being measured in major cohorts across the world through various methods, including immunoassays and through proteomics. Reported suPAR values have however varied dramatically depending on which assay is used. Comparing suPAR assays and their ability to discriminate risk is crucial for the Nephrology and overall research community to guide assay choice and inform interpretation of findings. To that end we measured suPAR in 3 different major cohorts (Malmo Diet and Cancer Study, n=4637; Jackson Heart Study, n=1905; and the Emory Cardiovascular Biobank, n=487) using two different methods in each cohort, encompassing the most commonly used approaches (immunoassays and proteomics). We find dramatic differences between assays; with notably poor correlations between immunoassays and proteomic approaches (r=0.2-0.5). Proteomics-based suPAR measures very poor discriminatory ability for cardiovascular and incident kidney disease. Amongst the immunoassays, the suPARnostic assay reported the highest values and had the strongest discriminatory ability.

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  • Failure to detect and account for such genetic variation may challenge the interpretation of results obtained across ancestries and introduce a source of bias.

    “Failure to detect and account for such genetic variation may challenge the interpretation of results obtained across ancestries and introduce a source of bias21.”

    From Cross-ancestry comparison of aptamer and antibody protein measures (2026) · cites this paper as [21]

    The discussion (page not provided) identifies single-nucleotide polymorphisms that alter assay-binding affinity as a measurement limitation and urges caution when interpreting suPAR results. It does not say that failure to account for genetic variation biases comparisons across ancestries; that ancestry-specific extension is unsupported by our copy. (LLM, conf=0.84)

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Research works printed but not linked: 4

  1. [1]Hayek SS Sever S Ko YA Trachtman H Awad M Wadhwani S Soluble urokinase receptor and chronic kidney disease N Engl J Med 2015 373 20 1916 1925 10.1056/NEJMoa1506362 26539835 PMC4701036 · DOI
  2. [3]Joshi A Mayr M In aptamers they trust: the caveats of the SOMAscan biomarker discovery platform from SomaLogic Circulation 2018 138 22 2482 2485 10.1161/CIRCULATIONAHA.118.036823 30524136 PMC6277005 · DOI · Paper page
  3. [4]Winnicki W Sunder-Plassmann G Sengolge G Handisurya A Herkner H Kornauth C Diagnostic and prognostic value of soluble urokinase-type plasminogen activator receptor (suPAR) in Focal segmental glomerulosclerosis and impact of detection method Sci Rep 2019 9 1 13783 10.1038/s41598-019-50405-8 31551522 PMC6760112 · DOI
  4. [5]Abraham AG Xu Y Roem JL Greenberg JH Weidemann DK Sabbisetti VS Variability in CKD biomarker studies: suPAR and kidney disease progression in the chronic kidney disease in children (CKiD) study Kidney Med 2021 5 3 P712 P721 10.1016/j.xkme.2021.04.007 PMC8515077 34693253 · DOI

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Authors
Vasbinder, A., Raffield, L. M., Gao, Y., Engstrom, G., Quyyumi, A. A., Reiner, A. P., Reiser, J., & Hayek, S. S.
Affiliations
  • University of Michigan (US)
  • University of North Carolina at Chapel Hill (US)
  • University of Mississippi Medical Center (US)
  • Department of Clinical Sciences, Lund University, Malmö, Sweden 4
  • Emory University (US)
  • Department of Epidemiology, University of Washington, Seattle, WA, USA 6
  • Rush University Medical Center (US)
Corresponding author
Hayek, Salim Salim
Venue
Journal of Nephrology
Published
2022-05-14
Volume
36
Issue
1
Pages
157-159
ISSN
  • 1121-8428 (ISSN-L)
  • 1724-6059
OpenAlex
W4280529751
Cited by
21
References
1
Citations by year
2026: 8 · 2025: 3 · 2024: 4 · 2023: 2 · 2022: 2 · 2021: 2
FWCI
1.05
Type
journal article
Language
en
Open access
Locations
  • Journal of Nephrology (publishedVersion)
  • medRxiv (acceptedVersion)
  • PubMed Central (publishedVersion)
  • PubMed (publishedVersion)
  • Lund University Publications (Lund University) (submittedVersion)
Funders
  • National Heart, Lung, and Blood Institute (R01HL153384, T32-HL007853, T32HL129982, R01HL132947)
  • National Institute of Diabetes and Digestive and Kidney Diseases (U01-DK119083, R01-DK109720)
  • University of Michigan Frankel Cardiovascular Center (U-M G024231)
  • National Center for Advancing Translational Sciences (KL2TR002490)
Topics
  • Life Sciences › Immunology and Microbiology › Immunology › Inflammation biomarkers and pathways
  • Health Sciences › Medicine › Physiology › Clinical Laboratory Practices and Quality Control
  • Life Sciences › Immunology and Microbiology › Immunology › Biomarkers in Disease Mechanisms
Keywords
soluble urokinase plasminogen activator receptor, suPAR, assay variability, measurement standardization, data interpretation, biomarkers, acute kidney injury
MeSH terms
Humans, Biomarkers, Receptors, Urokinase Plasminogen Activator

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