title: Plasma Monocyte Chemoattractant Protein 1 as a Predictive Marker for Sepsis Prognosis: A Prospective Cohort Study.
abstract: Sepsis is a systemic host response to infection, and patients with sepsis are frequently handled in the intensive care unit. However, mortality related to sepsis remains high throughout the world. In addition, there have been no efficient prognostic biomarkers for sepsis to be employed in clinical practice. We therefore aimed to identify prognostic biomarkers for sepsis using the chemokine/cytokine array. This study included 143 patients with sepsis, who were divided into survivor and nonsurvivor groups according to their 28-day mortality status. The cytokine array analysis was performed with plasma samples from two randomly selected patients in each sepsiofgroup. We thus identified seven cytokines with significantly and consistently different expression levels between nonsurvivors and survivors. The validity of the selected cytokines was then assessed by enzyme-linked immunosorbent assay (ELISA). We finally found monocyte chemoattractant protein 1 (MCP-1) as the most useful biomarker to distinguish the two sepsis groups; namely, non-surviving patients (n = 56) exhibited significantly higher plasma concentrations of MCP-1 compared to survivors (n = 87). MCP-1 is a CC chemokine, a potent chemoattractant that contributes to systemic inflammatory response syndrome. Areas under the receiver operating characteristic curves for prediction of 28-day mortality were 0.763 for MCP-1, 0.680 for the Acute Physiologic Assessment and Chronic Health Evaluation II (APACHE II) score, 0.64 for the Sequential Organ Failure Assessment (SOFA) score, 0.621 for procalcitonin, and 0.785 for MCP-1 plus APACHE II score. In conclusion, we propose that plasma MCP-1 is a useful biomarker in predicting outcome of sepsis.
authors.affiliation: Key Laboratory of Obstetrics & Gynecology, Pediatric Diseases, and Birth Defects of the Ministry of Education, West China Second Hospital, Sichuan University.
authors.forename: Tingting
authors.initials: T
authors.lastname: Zhu
authors.forename: Xuelian
authors.initials: X
authors.lastname: Liao
authors.forename: Ting
authors.initials: T
authors.lastname: Feng
authors.forename: Qihong
authors.initials: Q
authors.lastname: Wu
authors.forename: Jiangqian
authors.initials: J
authors.lastname: Zhang
authors.forename: Xing
authors.initials: X
authors.lastname: Cao
authors.forename: Hong
authors.initials: H
authors.lastname: Li
mesh_terms: D015415:Biomarkers / Q000097:blood; D002097:C-Reactive Protein / Q000378:metabolism; D002116:Calcitonin; D018932:Chemokine CCL2 / Q000097:blood*; D004797:Enzyme-Linked Immunosorbent Assay; D004815:Epidermal Growth Factor / Q000097:blood; D005260:Female; D006801:Humans; D015850:Interleukin-6 / Q000097:blood; D016015:Logistic Models; D008297:Male; D008875:Middle Aged; D011379:Prognosis; D011446:Prospective Studies; D012372:ROC Curve; D018805:Sepsis / Q000097:blood* / Q000401:mortality
chemical_list: D015415:Biomarkers; C111835:CCL2 protein, human; D018932:Chemokine CCL2; D015850:Interleukin-6; D004815:Epidermal Growth Factor; D002116:Calcitonin; D002097:C-Reactive Protein