Biomarker panels may be superior over single molecules in prediction of renal flares in systemic lupus erythematosus: an exploratory study
| Autor: | Melania Alessia Coscia, Antonella Riccardi, L. Pierro, Ranieri Formica, Laura Bucci, Francesco Ciccia, Serena Fasano, Alessia Borgia |
|---|---|
| Přispěvatelé: | Fasano, Serena, Pierro, Luciana, Borgia, Alessia, Coscia, Melania Alessia, Formica, Ranieri, Bucci, Laura, Riccardi, Antonella, Ciccia, Francesco |
| Jazyk: | angličtina |
| Rok vydání: | 2020 |
| Předmět: |
Adult
Male medicine.medical_specialty Urinary system 030232 urology & nephrology Lupus nephritis Disease lupus nephriti Gastroenterology 03 medical and health sciences 0302 clinical medicine Rheumatology systemic lupus erythematosus Predictive Value of Tests Internal medicine medicine Humans Lupus Erythematosus Systemic Pharmacology (medical) Prospective Studies 030203 arthritis & rheumatology Kidney Proportional hazards model business.industry Area under the curve Middle Aged medicine.disease medicine.anatomical_structure Mann–Whitney U test Biomarker (medicine) biomarker Female Kidney Diseases business Biomarkers |
| Popis: | Objective Recent evidence suggests that some urinary biomarkers, namely Vascular Cell Adhesion Molecule-1 (VCAM-1), Intercellular Adhesion Molecule-1 (ICAM-1), Monocyte Chemoattractant Protein 1 (MCP-1), Neutrophil Gelatinase Associated Lipocalcin and Lipocalin-type Prostaglandin D-Synthetase (L-PGDS), might discriminate SLE patients with ongoing renal activity from those with stable disease. The objective of this study was to assess the role of these markers in predicting renal flares in comparison with conventional biomarkers and to derive a biomarker panel which may improve diagnostic accuracy. Methods Eligible participants were SLE patients prospectively followed at our clinic. Urinary biomarker levels were measured in urinary sample by ELISA assay and were compared by the unpaired Student’s t test or the Mann–Whitney U test as appropriate. Receiver operating characteristic analysis was used to calculate the area under the curve. Cox regression was used to identify independent factors associated with disease flares. Results Urine was collected from 61 patients. During 8 months’ follow-up, eight patients experienced a renal flare. Urinary L-PGDS, ICAM-1 and VCAM-1 levels were significantly increased in the patients who subsequently experienced a renal flare with respect to the remaining 53. At Cox regression analysis, L-PGDS, ICAM-1, VCAM-1, hypocomplementemia and anti-dsDNA antibodies were factors associated with renal flares. Based on receiver operating characteristic analysis, a combination of novel and conventional biomarkers demonstrated an excellent ability for accurately identifying a flare. Conclusion This study might suggest the usefulness of a novel biomarker panel in predicting a renal flare in SLE. |
| Databáze: | OpenAIRE |
| Externí odkaz: |
|