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

Wu, Ping-Hsun, 1982- (author)
Uppsala universitet,Endokrinologi och mineralmetabolism,Kaohsiung Med Univ Hosp, Dept Internal Med, Div Nephrol, Kaohsiung 80708, Taiwan.;Kaohsiung Med Univ, Ctr Big Data Res, Kaohsiung 80708, Taiwan.
Glerup, Rie Io (author)
Aalborg Univ Hosp, Dept Nephrol, DK-9000 Aalborg, Denmark.
Svensson, My Hanna Sofia (author)
Akershus Univ Hosp, Dept Nephrol, Div Med, N-1478 Oslo, Norway.
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Eriksson, Niclas, 1978- (author)
Uppsala universitet,Uppsala kliniska forskningscentrum (UCR)
Christensen, Jeppe Hagstrup (author)
Aalborg Univ Hosp, Dept Nephrol, DK-9000 Aalborg, Denmark.
de Laval, Philip (author)
Uppsala universitet,Njurmedicin
Soveri, Inga (author)
Uppsala universitet,Njurmedicin
Westerlund, Magnus (author)
Uppsala universitet,Njurmedicin
Linde, Torbjörn (author)
Uppsala universitet,Njurmedicin
Ljunggren, Östen (author)
Uppsala universitet,Endokrinologi och mineralmetabolism,Institutionen för kirurgiska vetenskaper,Uppsala kliniska forskningscentrum (UCR)
Fellström, Bengt, 1947- (author)
Uppsala universitet,Njurmedicin,Rättsmedicin
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 (creator_code:org_t)
2022-03-22
2022
English.
In: Biomedicines. - : MDPI. - 2227-9059. ; 10:4
  • Journal article (peer-reviewed)
Abstract Subject headings
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  • 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.

Subject headings

MEDICIN OCH HÄLSOVETENSKAP  -- Klinisk medicin -- Kardiologi (hsv//swe)
MEDICAL AND HEALTH SCIENCES  -- Clinical Medicine -- Cardiac and Cardiovascular Systems (hsv//eng)
NATURVETENSKAP  -- Biologi -- Biokemi och molekylärbiologi (hsv//swe)
NATURAL SCIENCES  -- Biological Sciences -- Biochemistry and Molecular Biology (hsv//eng)

Keyword

death
cardiovascular disease
proteomics
hemodialysis
biomarkers

Publication and Content Type

ref (subject category)
art (subject category)

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