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Use of Proteomics To Investigate Kidney Function Decline over 5 Years
Uppsala University, Disciplinary Domain of Medicine and Pharmacy, Faculty of Medicine, Department of Medical Sciences, Cardiovascular epidemiology.
Uppsala University, Disciplinary Domain of Medicine and Pharmacy, Faculty of Medicine, Department of Medical Sciences, Molecular epidemiology. Uppsala University, Science for Life Laboratory, SciLifeLab. Stanford Univ, Dept Med, Div Cardiovasc Med, Sch Med, Stanford, CA 94305 USA.ORCID iD: 0000-0003-2256-6972
Uppsala University, Disciplinary Domain of Medicine and Pharmacy, Medicinska och farmaceutiska vetenskapsområdet, centrumbildningar mm, UCR-Uppsala Clinical Research Center. Uppsala University, Disciplinary Domain of Medicine and Pharmacy, Faculty of Medicine, Department of Medical Sciences, Cardiology.ORCID iD: 0000-0003-2247-8454
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2017 (English)In: American Society of Nephrology. Clinical Journal, ISSN 1555-9041, E-ISSN 1555-905X, Vol. 12, no 8, 1226-1235 p.Article in journal (Refereed) Published
Abstract [en]

BACKGROUND AND OBJECTIVES: Using a discovery/replication approach, we investigated associations between a multiplex panel of 80 circulating proteins associated with cardiovascular pathology or inflammation, and eGFR decline per year and CKD incidence.

DESIGN, SETTING, PARTICIPANTS, & MEASUREMENTS: We used two cohorts, the Prospective Investigation of the Vasculature in Uppsala Seniors Study (PIVUS; n=687, mean age of 70 years, 51% women) and the Uppsala Longitudinal Study of Adult Men (ULSAM; n=360 men, mean age of 78 years), with 5-year follow-up data on eGFR. There were 231 and 206 incident cases of CKD during follow-up in the PIVUS and ULSAM studies, respectively. Proteomic profiling of 80 proteins was assessed by a multiplex assay (proximity extension assay). The assay uses two antibodies for each protein and a PCR step to achieve a high-specific binding and the possibility to measure multiple proteins in parallel, but gives no absolute concentrations.

RESULTS: In the discovery cohort from the PIVUS Study, 28 plasma proteins were significantly associated with eGFR decline per year, taking into account the multiple testing. Twenty of these proteins were significantly associated with eGFR decline per year in the replication cohort from the ULSAM Study after adjustment for age, sex, cardiovascular risk factors, medications, and urinary albumin-to-creatinine ratio (in order of significance: TNF-related apoptosis-inducing ligand receptor 2*, CD40L receptor, TNF receptor 1*, placenta growth factor*, thrombomodulin*, urokinase plasminogen activator surface receptor*, growth/differentiation factor 15*, macrophage colony-stimulating factor 1, fatty acid-binding protein*, cathepsin D, resistin, kallikrein 11*, C-C motif chemokine 3, proteinase-activated receptor 1*, cathepsin L, chitinase 3-like protein 1, TNF receptor 2*, fibroblast growth factor 23*, monocyte chemotactic protein 1, and kallikrein 6). Moreover, 11 of the proteins predicted CKD incidence (marked with * above). No protein consistently predicted eGFR decline per year independently of baseline eGFR in both cohorts.

CONCLUSIONS: Several circulating proteins involved in phosphate homeostasis, inflammation, apoptosis, extracellular matrix remodeling, angiogenesis, and endothelial dysfunction were associated with worsening kidney function. Multiplex proteomics appears to be a promising way of discovering novel aspects of kidney disease pathology.

Place, publisher, year, edition, pages
2017. Vol. 12, no 8, 1226-1235 p.
Keyword [en]
Adult, Aged, Albumins, Cardiovascular Diseases, Fatty Acid-Binding Proteins, Fibroblast Growth Factors, Follow-Up Studies, Homeostasis, Longitudinal Studies, Phosphates, Plasminogen, Prospective Studies, Proteomics, Urokinase-Type Plasminogen Activator, apoptosis, creatinine, extracellular matrix, glomerular filtration rate, risk factors
National Category
Urology and Nephrology
Identifiers
URN: urn:nbn:se:uu:diva-329208DOI: 10.2215/CJN.08780816PubMedID: 28784837OAI: oai:DiVA.org:uu-329208DiVA: diva2:1141288
Available from: 2017-09-14 Created: 2017-09-14 Last updated: 2017-11-23Bibliographically approved

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Carlsson, Axel CIngelsson, ErikSundström, JohanGustafsson, StefanStenemo, MarkusLarsson, AndersLind, Lars

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Carlsson, Axel CIngelsson, ErikSundström, JohanGustafsson, StefanFeldreich, TobiasStenemo, MarkusLarsson, AndersLind, Lars
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Cardiovascular epidemiologyMolecular epidemiologyScience for Life Laboratory, SciLifeLabUCR-Uppsala Clinical Research CenterCardiologyDepartment of Medical Sciences
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