title: Cell-specific biomarkers in renal medicine and research.
abstract: Histopathology is the gold standard for defining renal injury, but it is invasive, time-consuming and expensive, plus it is seldom used in subjects with mild renal injury. Using biomarkers linked to distinct, defined cell types and tissues provides a direct link to histopathology without its drawbacks, plus it provides increased sensitivity, and specificity. The nephron consists of several sections, each with its own specific biomarkers; therefore, by the use of a battery of tests injuries can be localised to distinct areas of it. Using urine samples simplifies repeated sampling from the same subject or animal leading to better defined toxicokinetics and disease monitoring.Serum creatinine is the most widely used renal biomarker in spite of its known shortcomings. Cell-specific biomarkers are more specific and sensitive and have been known for over 40 years, but they are still underused in renal medicine and research. In particular, while many studies have shown cell-specific biomarkers to be valuable in diagnosis, there are few studies where they have been used to guide therapy or linked to quantitative changes in the kidney. Furthermore, the great majority of cell-specific biomarkers are from the proximal tubule, which may have hindered research into the study of conditions where the distal tubules are affected. Recently, the range of biomarkers and their applications has been expanded by the introduction of indicators of cellular regeneration.This chapter will discuss how using biomarkers with a known cellular origin, renal effects may be found earlier and at lower levels of injury. Their use in both renal medicine and drug research will be presented. Knowledge of these existing markers lays the foundation for evaluation, comparison, and characterisation of new markers that will be identified in the future.
authors.affiliation: Argutus Medical Inc., Dublin, Ireland. martin.shaw@argutusmed.com
authors.forename: Martin
authors.initials: M
authors.lastname: Shaw
mesh_terms: D000818:Animals; D015415:Biomarkers / Q000032:analysis* / Q000378:metabolism / Q000652:urine; D055808:Drug Discovery / Q000379:methods*; D004798:Enzymes / Q000652:urine; D006801:Humans; D007674:Kidney Diseases / Q000188:drug therapy* / Q000378:metabolism / Q000473:pathology* / Q000652:urine; D009928:Organ Specificity; D011507:Proteinuria / Q000378:metabolism
chemical_list: D015415:Biomarkers; D004798:Enzymes