Evidence map›Paper›PMID 35453489›Full record

ArticleBiomedicines2022

Novel Biomarkers Detected by Proteomics Predict Death and Cardiovascular Events in Hemodialysis Patients.

Ping-Hsun Wu, Rie Io Glerup, My Hanna Sofia Svensson, Niclas Eriksson, Jeppe Hagstrup Christensen, Philip de Laval, Inga Soveri, Magnus Westerlund, Torbjörn Linde, Östen Ljunggren and 1 more

Abstract read
In one paragraph

Article in Biomedicines, 2022. 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
–field-weighted citation impact
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.

  1. Article
  2. Circulating and Urinary CCL20 in Human Kidney Disease.International journal of molecular sciences · 2025
    Article
  3. Review
  4. Article
  5. Article
  6. Article
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

11 authors.

Ping-Hsun WuDepartment of Medical Sciences, Uppsala University, 75236 Uppsala, Sweden.ORCID 0000-0003-1021-8161
Rie Io GlerupDepartment of Nephrology, Aalborg University Hospital, 9000 Aalborg, Denmark.
My Hanna Sofia SvenssonDivision of Medicine, Department of Nephrology, Akershus University Hospital, 1478 Oslo, Norway.
Niclas ErikssonUppsala Clinical Research Center, Uppsala University, 75185 Uppsala, Sweden.
Jeppe Hagstrup ChristensenDepartment of Nephrology, Aalborg University Hospital, 9000 Aalborg, Denmark.
Philip de LavalDepartment of Medical Sciences, Uppsala University, 75236 Uppsala, Sweden.
Inga SoveriDepartment of Medical Sciences, Uppsala University, 75236 Uppsala, Sweden.ORCID 0000-0001-6710-6422
Magnus WesterlundDepartment of Medical Sciences, Uppsala University, 75236 Uppsala, Sweden.
Torbjörn LindeDepartment of Medical Sciences, Uppsala University, 75236 Uppsala, Sweden.
Östen LjunggrenDepartment of Medical Sciences, Uppsala University, 75236 Uppsala, Sweden.
Bengt FellströmDepartment of Medical Sciences, Uppsala University, 75236 Uppsala, Sweden.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

End-stage kidney disease increases mortality and the risk of cardiovascular (CV) disease. It is crucial to explore novel biomarkers to predict CV disease in the complex setting of patients receiving hemodialysis (HD). This study investigated the association between 92 targeted proteins with all-cause death, CV death, and composite vascular events (CVEs) in HD patients. From December 2010 to March 2011, 331 HD patients were included and followed prospectively for 5 years. Serum was analyzed for 92 CV-related proteins using Proseek Multiplex Cardiovascular I panel, a high-sensitivity assay based on proximity extension assay (PEA) technology. The association between biomarkers and all-cause death, CV death, and CVEs was evaluated using Cox-regression analyses. Of the PEA-based proteins, we identified 20 proteins associated with risk of all-cause death, 7 proteins associated with risk of CV death, and 17 proteins associated with risk of CVEs, independent of established risk factors. Interleukin-8 (IL-8), T-cell immunoglobulin and mucin domain 1 (TIM-1), and C-C motif chemokine 20 (CCL20) were associated with increased risk of all-cause death, CV death, and CVE in multivariable-adjusted models. Stem cell factor (SCF) and Galanin peptides (GAL) were associated with both decreased risk of all-cause death and CV death. In conclusion, IL-8, TIM-1, and CCL20 predicted death and CV outcomes in HD patients. Novel findings were that SCF and GAL were associated with a lower risk of all-cause death and CV death. The SCF warrants further study with regard to its possible biological effect in HD patients.

Indexed as

biomarkerscardiovascular diseasedeathhemodialysisproteomics

Identifiers

PMID35453489
PMCPMC9026983

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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.