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Cervellin G, Schuetz P, Lippi G. Toward a holistic approach for diagnosing sepsis in the emergency department. Adv Clin Chem 2019; 92:201-216. [PMID: 31472754 DOI: 10.1016/bs.acc.2019.04.004] [Citation(s) in RCA: 10] [Impact Index Per Article: 1.7] [Reference Citation Analysis] [Key Words] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 01/05/2023]
Affiliation(s)
| | - Philipp Schuetz
- Department of Internal Medicine, Kantonsspital Aarau and University of Basel, Basel, Switzerland
| | - Giuseppe Lippi
- Section of Clinical Biochemistry, University of Verona, Verona, Italy.
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Severino P, Silva E, Baggio-Zappia GL, Brunialti MKC, Nucci LA, Junior OR, da Silva IDCG, Machado FR, Salomao R. Gene expression profiling of mononuclear cells from patients with sepsis secondary to community-acquired pneumonia. GENOMICS DATA 2014; 2:332-4. [PMID: 26484123 PMCID: PMC4535862 DOI: 10.1016/j.gdata.2014.10.004] [Citation(s) in RCA: 6] [Impact Index Per Article: 0.5] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Subscribe] [Scholar Register] [Received: 09/30/2014] [Accepted: 10/02/2014] [Indexed: 12/21/2022]
Abstract
Mechanisms governing the inflammatory response during sepsis involve crosstalk between diverse signaling pathways, but current knowledge provides an incomplete picture of the syndrome. Microarray-based expression profiling is a powerful approach for the investigation of complex clinical conditions such as sepsis. In this study, we investigated whole-genome expression profiles in mononuclear cells from septic patients admitted in intensive care units with community-acquired pneumonia. Blood samples were collected at the time of sepsis diagnosis and seven days later since we aimed to evaluate the role of biological processes or genes possibly involved in patient recovery. Here we provide a detailed description of the study design, including clinical information, experimental methods and procedures regarding data analysis. Metadata corresponding to microarray results deposited in the database Gene Expression Omnibus (GEO) under the accession number GSE48080 are also described in this report. Our dataset allows the identification of genes possibly associated with host defense to infection as well as gene expression patterns associated with patient outcome.
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Affiliation(s)
- Patricia Severino
- Center for Experimental Research, Instituto Israelita de Ensino e Pesquisa, Hospital Israelita Albert Einstein, Sao Paulo, Brazil
| | - Eliezer Silva
- Intensive Care Unit, Hospital Israelita Albert Einstein, Sao Paulo, Brazil
| | - Giovana Lotici Baggio-Zappia
- Division of Infectious Diseases, Escola Paulista de Medicina, Universidade Federal de Sao Paulo, Sao Paulo, Brazil
| | - Milena Karina Colo Brunialti
- Division of Infectious Diseases, Escola Paulista de Medicina, Universidade Federal de Sao Paulo, Sao Paulo, Brazil
| | - Laura Alejandra Nucci
- Division of Infectious Diseases, Escola Paulista de Medicina, Universidade Federal de Sao Paulo, Sao Paulo, Brazil
| | | | | | - Flavia Ribeiro Machado
- Intensive Care Unit, Hospital Sao Paulo, Universidade Federal de Sao Paulo, Sao Paulo, Brazil
| | - Reinaldo Salomao
- Division of Infectious Diseases, Escola Paulista de Medicina, Universidade Federal de Sao Paulo, Sao Paulo, Brazil
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