ArticleClinical and applied thrombosis/hemostasis : official journal of the International Academy of Clinical and Applied Thrombosis/Hemostasis2018
New Biomarkers for Prediction of Disseminated Intravascular Coagulation in Patients With Sepsis.
Article in Clinical and applied thrombosis/hemostasis : official journal of the International Academy of Clinical and Applied Thrombosis/Hemostasis, 2018. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 5 papers.
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Who cites it
5 citing papers in PubMed, 9 citations in OpenAlex.
- Development and Validation of the Clinical Risk Prediction Model for Disseminated Intravascular Coagulation after Severe Burn Injury.Annals of burns and fire disasters · 2025Article
- Review
- Proteomic profiling of extracellular vesicles derived from human serum for the discovery of biomarkers in Avascular necrosis.Clinical proteomics · 2024Article
- Pathophysiology of Disseminated Intravascular Coagulation in Sepsis: A Clinically Focused Overview.Cells · 2023Review
- Sepsis-Induced Coagulopathy Phenotype Induced by Oxidized High-Density Lipoprotein Associated with Increased Mortality in Septic-Shock Patients.Antioxidants (Basel, Switzerland) · 2023Article
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Authors and funding
7 authors at 3 institutions in 1 country.
Funding
No grant is acknowledged in the PubMed record.
Abstract
Complication of disseminated intravascular coagulation (DIC) is a determinant of the prognosis for patients with sepsis. The purpose of this study was to find DIC-related peptides in blood for prediction and early diagnosis of DIC in patients with sepsis. The participants were 20 patients with sepsis (age: 68.9 ± 11.4 years) and they were divided into 2 groups with (n = 8) and without (n = 12) a complication of DIC. Peptides in the serum of the patients were inclusively analyzed by a new method for peptidome analysis using a target plate, BLOTCHIP. By differential analysis of peptides in the blood from patients in the groups with and without DIC, we selected 13 mass spectrometry (MS) peaks as candidate marker peptides for prediction of DIC. By subsequent MS/MS structural analysis, 8 peptides were successfully identified as marker peptides for DIC in patients with sepsis. The peptides were fragments of serum amyloid A-2 protein, α2-HS-glycoprotein, fibrinogen α chain, fibrinogen β chain, serum albumin, collagen α1 (I) chain, collagen α1 (III) chain, and coagulation factor XIII A chain. In receiver-operating characteristic analysis for the relationships between the marker peptides and DIC, the area under the curve for each of these peptides was 0.594 to 0.760. We identified 8 blood marker peptides for prediction of DIC complication in patients with sepsis. Further studies by direct measurements of the serum peptide levels in larger numbers of patients with sepsis-induced DIC are needed to confirm the findings of this study.
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