Multifarious diagnostic possibilities of the S100 protein family: predominantly in pediatrics and neonatology
Language English Country Switzerland Media print-electronic
Document type Journal Article, Review
Grant support
IGA LF UP 2017_13
Univerzita Palackého v Olomouci - International
NPU LO 1304
Ministerstvo Školství, Mládeže a Tělovýchovy - International
PubMed
29858979
DOI
10.1007/s12519-018-0163-5
PII: 10.1007/s12519-018-0163-5
Knihovny.cz E-resources
- Keywords
- Diagnostics, Marker, Pediatrics, S100,
- MeSH
- Biomarkers blood MeSH
- Child MeSH
- Adult MeSH
- Infant MeSH
- Humans MeSH
- Neonatology * MeSH
- Infant, Newborn MeSH
- Pediatrics * MeSH
- Predictive Value of Tests MeSH
- Prognosis MeSH
- S100 Proteins blood MeSH
- Sensitivity and Specificity MeSH
- Check Tag
- Child MeSH
- Adult MeSH
- Infant MeSH
- Humans MeSH
- Male MeSH
- Infant, Newborn MeSH
- Female MeSH
- Publication type
- Journal Article MeSH
- Review MeSH
- Names of Substances
- Biomarkers MeSH
- S100 Proteins MeSH
BACKGROUND: Numerous articles related to S100 proteins have been recently published. This review aims to introduce this large protein family and its importance in the diagnostics of many pathological conditions in children and adults. DATA SOURCES: Based on original publications found in database systems, we summarize the current knowledge about the S100 protein group and highlight the most important proteins with focus on pediatric use. RESULTS: The S100 family is composed of Ca2+ and Zn2+ binding proteins, which are present only in vertebrates. Some of these proteins can be used as diagnostic markers in cardiology (S100A1, S100A12), oncology (S100A2, S100A5, S100A6, S100A14, S100A16, S100P, S100B), neurology (S100B), rheumatology (S100A8/A9, S100A4, S100A6, and S100A12), nephrology and infections (S100A8, S100A9, S100A8/A9, S100A12). The most useful S100 proteins in pediatrics are S100A8, S100A9, heterodimers S100A8/A9, S100B and S100A12. CONCLUSIONS: The S100 family members are promising biomarkers and provide numerous possibilities for implementation into clinical practice to optimize the differential diagnostic process.
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