Evidence map›Paper›PMID 38524235›Full record

ArticleClinical kidney journal2024

Associations between inflammatory and angiogenic proteomic biomarkers, and cardiovascular events and mortality in relation to kidney function.

Barbara Salzinger, Kristina Lundwall, Marie Evans, Josefin Mörtberg, Håkan Wallén, Tomas Jernberg, Thomas Kahan, Pia Lundman, Per Tornvall, David Erlinge and 5 more

Open access · goldAbstract read
In one paragraph

Article in Clinical kidney journal, 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 6 papers.

0numbers the graph read from it
0cells of the map it votes in
6citing papers in PubMed
1.4field-weighted citation impact, top 19% of its field
1 · What the graph read from it

What it found

Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.

The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.

2 · The registry

The trial behind it

Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.

Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.

3 · Its place in the literature

Who cites it

6 citing papers in PubMed, 4 citations in OpenAlex.

  1. Review
  2. Proteomic Markers of Dietary Patterns, CKD Progression, and Mortality in the CRIC Study.Clinical journal of the American Society of Nephrology : CJASN · 2026
    Article
  3. Review
  4. Article
  5. Article
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4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

15 authors at 3 institutions in 1 country.

Barbara SalzingerDivision of Nephrology, Department of Clinical Sciences, Danderyd Hospital, Karolinska Institute, Stockholm, Sweden.
Kristina LundwallDivision of Cardiovascular Medicine, Department of Clinical Sciences, Danderyd Hospital, Karolinska Institute, Stockholm, Sweden.
Marie EvansME Renal Medicine, Department of Clinical Intervention and Technology, Karolinska Institute, Stockholm, Sweden.
Josefin MörtbergDivision of Nephrology, Department of Internal Medicine, Centre for Clinical Research, County of Vastmanland and Uppsala University, Uppsala, Sweden.ORCID https://orcid.org/0000-0001-9139-5711
Håkan WallénDivision of Cardiovascular Medicine, Department of Clinical Sciences, Danderyd Hospital, Karolinska Institute, Stockholm, Sweden.
Tomas JernbergDivision of Cardiovascular Medicine, Department of Clinical Sciences, Danderyd Hospital, Karolinska Institute, Stockholm, Sweden.
Thomas KahanDivision of Cardiovascular Medicine, Department of Clinical Sciences, Danderyd Hospital, Karolinska Institute, Stockholm, Sweden.ORCID https://orcid.org/0000-0001-9909-4956
Pia LundmanDivision of Cardiovascular Medicine, Department of Clinical Sciences, Danderyd Hospital, Karolinska Institute, Stockholm, Sweden.
Per TornvallDepartment of Clinical Science and Education, Sodersjukhuset, Karolinska Institute, Stockholm, Sweden.
David ErlingeDepartment of Cardiology, Clinical Sciences, Lund University, Lund, Sweden.
Bertil LindahlDepartment of Medical Sciences, Cardiology, Uppsala Clinical Research Centre, Uppsala University, Uppsala, Sweden.ORCID https://orcid.org/0000-0002-5795-0061
Tomasz BaronDepartment of Medical Sciences, Cardiology, Uppsala Clinical Research Centre, Uppsala University, Uppsala, Sweden.ORCID https://orcid.org/0000-0002-8290-557X
Melinda RezeliClinical Protein Science & Imaging, Department of Biomedical Engineering, Lund University, Lund, Sweden.
Jonas SpaakDivision of Cardiovascular Medicine, Department of Clinical Sciences, Danderyd Hospital, Karolinska Institute, Stockholm, Sweden.
Stefan H JacobsonDivision of Nephrology, Department of Clinical Sciences, Danderyd Hospital, Karolinska Institute, Stockholm, Sweden.
Karolinska Institutet · SEUppsala University · SELund University · SE

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Background: The links between chronic kidney disease (CKD) and the high burden of cardiovascular disease remain unclear. We aimed to explore the association between selected inflammatory and angiogenic biomarkers, kidney function and long-term outcome in patients with an acute coronary syndrome (ACS) and to test the hypothesis that CKD status modifies this association. Methods: A total of 1293 ACS patients hospitalized between 2008 and 2015 were followed until 31 December 2017. Plasma was collected on days 1-3 after admission. A total of 13 biomarkers were a priori identified and analysed with two proteomic methods, proximity extension assay or multiple reaction monitoring mass spectrometry. Boxplots and multiple linear regression models were used to study associations between biomarkers and kidney function and adjusted standardized Cox regression with an interaction term for CKD was used to assess whether CKD modified the association between biomarkers and major adverse cardiovascular events and death (MACE+). Results: The concentrations of nine biomarkers-endothelial cell-specific molecule-1 (ESM-1), fibroblast growth factor 23 (FGF-23), fractalkine (CX3CL1), interleukin-1 receptor antagonist (IL-1RA), interleukin-18 (IL-18), monocyte chemotactic protein-1 (MCP-1), placenta growth factor (PlGF), transmembrane immunoglobulin 1 (TIM-1) and vascular endothelial growth factor A (VEGFA)-were inversely associated with kidney function. ESM-1, FGF-23 and TIM-1 showed associations with MACE+. Only FGF23 remained independently associated after adjustment for the other biomarkers (hazard ratio per standard deviation increase 1.34; 95% Bonferroni corrected confidence interval 1.19-1.50). None of the biomarkers showed an interaction with CKD. Conclusions: The concentrations of 9 of the 13 prespecified inflammatory and angiogenic proteomic biomarkers increased when kidney function declined. Only FGF-23 demonstrated an independent association with MACE+, and this association was not modified by CKD status. These findings further support FGF-23 as an independent prognostic marker in ACS patients with and without CKD.

Indexed as

ACSbiomarkerskidney functionprognosis

Identifiers

PMID38524235
PMCPMC10959071
OpenAlexW4392401549

What OpenQuestion holds

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LicenceCC BY
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Registered trials

None linked

Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.