Cargando…
Urinary pro-thrombotic, anti-thrombotic, and fibrinolytic molecules as biomarkers of lupus nephritis
OBJECTIVE: This study evaluates the utility of urinary pro-thrombotic molecules such as tissue factor (TF), anti-thrombotic molecules such as tissue factor pathway inhibitor (TFPI), and fibrinolytic molecules such as plasmin and d-dimer as biomarkers of lupus nephritis (LN). METHODS: Urine samples f...
Autores principales: | , , , , , , , , , , |
---|---|
Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
BioMed Central
2019
|
Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6637532/ https://www.ncbi.nlm.nih.gov/pubmed/31319876 http://dx.doi.org/10.1186/s13075-019-1959-y |
_version_ | 1783436259302047744 |
---|---|
author | Qin, Ling Stanley, Samantha Ding, Huihua Zhang, Ting Truong, Van Celhar, Teja Fairhurst, Anna-Marie Pedroza, Claudia Petri, Michelle Saxena, Ramesh Mohan, Chandra |
author_facet | Qin, Ling Stanley, Samantha Ding, Huihua Zhang, Ting Truong, Van Celhar, Teja Fairhurst, Anna-Marie Pedroza, Claudia Petri, Michelle Saxena, Ramesh Mohan, Chandra |
author_sort | Qin, Ling |
collection | PubMed |
description | OBJECTIVE: This study evaluates the utility of urinary pro-thrombotic molecules such as tissue factor (TF), anti-thrombotic molecules such as tissue factor pathway inhibitor (TFPI), and fibrinolytic molecules such as plasmin and d-dimer as biomarkers of lupus nephritis (LN). METHODS: Urine samples from 113 biopsy-proven LN patients (89 active LN and 24 inactive LN), 45 chronic kidney disease patients, and 41 healthy controls were examined for d-dimer, plasmin, TF, and TFPI levels by ELISA. The area under the receiver operating characteristic curve (AUC) analysis, multivariate regression analysis, and Bayesian network analysis were performed to assess the diagnostic value of the assayed molecules in LN. RESULTS: Although urinary d-dimer, plasmin, TF, and TFPI were all elevated in active LN compared to all control groups, and correlated with rSLEDAI and SLICC RAS disease activity indices, urine plasmin emerged as the strongest independent predictor of eGFR and renal disease status, by multivariate regression analysis and Bayesian network analysis. Whereas urine plasmin discriminated active LN from inactive disease with an AUC of 0.84, the combination of urine plasmin and TFPI discriminated ALN from ILN with an AUC of 0.86, with both surpassing the specificity and positive predictive value of traditional markers such as anti-dsDNA and complement C3. CONCLUSION: Both thrombogenic and thrombolytic cascades appear to be upregulated in lupus nephritis, with proteins from both cascades appearing in the urine. Of the coagulation cascade proteins surveyed, urine plasmin emerges as the strongest predictor of eGFR and clinical renal disease in patients with LN. ELECTRONIC SUPPLEMENTARY MATERIAL: The online version of this article (10.1186/s13075-019-1959-y) contains supplementary material, which is available to authorized users. |
format | Online Article Text |
id | pubmed-6637532 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2019 |
publisher | BioMed Central |
record_format | MEDLINE/PubMed |
spelling | pubmed-66375322019-07-25 Urinary pro-thrombotic, anti-thrombotic, and fibrinolytic molecules as biomarkers of lupus nephritis Qin, Ling Stanley, Samantha Ding, Huihua Zhang, Ting Truong, Van Celhar, Teja Fairhurst, Anna-Marie Pedroza, Claudia Petri, Michelle Saxena, Ramesh Mohan, Chandra Arthritis Res Ther Research Article OBJECTIVE: This study evaluates the utility of urinary pro-thrombotic molecules such as tissue factor (TF), anti-thrombotic molecules such as tissue factor pathway inhibitor (TFPI), and fibrinolytic molecules such as plasmin and d-dimer as biomarkers of lupus nephritis (LN). METHODS: Urine samples from 113 biopsy-proven LN patients (89 active LN and 24 inactive LN), 45 chronic kidney disease patients, and 41 healthy controls were examined for d-dimer, plasmin, TF, and TFPI levels by ELISA. The area under the receiver operating characteristic curve (AUC) analysis, multivariate regression analysis, and Bayesian network analysis were performed to assess the diagnostic value of the assayed molecules in LN. RESULTS: Although urinary d-dimer, plasmin, TF, and TFPI were all elevated in active LN compared to all control groups, and correlated with rSLEDAI and SLICC RAS disease activity indices, urine plasmin emerged as the strongest independent predictor of eGFR and renal disease status, by multivariate regression analysis and Bayesian network analysis. Whereas urine plasmin discriminated active LN from inactive disease with an AUC of 0.84, the combination of urine plasmin and TFPI discriminated ALN from ILN with an AUC of 0.86, with both surpassing the specificity and positive predictive value of traditional markers such as anti-dsDNA and complement C3. CONCLUSION: Both thrombogenic and thrombolytic cascades appear to be upregulated in lupus nephritis, with proteins from both cascades appearing in the urine. Of the coagulation cascade proteins surveyed, urine plasmin emerges as the strongest predictor of eGFR and clinical renal disease in patients with LN. ELECTRONIC SUPPLEMENTARY MATERIAL: The online version of this article (10.1186/s13075-019-1959-y) contains supplementary material, which is available to authorized users. BioMed Central 2019-07-18 2019 /pmc/articles/PMC6637532/ /pubmed/31319876 http://dx.doi.org/10.1186/s13075-019-1959-y Text en © The Author(s). 2019 Open AccessThis article is distributed under the terms of the Creative Commons Attribution 4.0 International License (http://creativecommons.org/licenses/by/4.0/), which permits unrestricted use, distribution, and reproduction in any medium, provided you give appropriate credit to the original author(s) and the source, provide a link to the Creative Commons license, and indicate if changes were made. The Creative Commons Public Domain Dedication waiver (http://creativecommons.org/publicdomain/zero/1.0/) applies to the data made available in this article, unless otherwise stated. |
spellingShingle | Research Article Qin, Ling Stanley, Samantha Ding, Huihua Zhang, Ting Truong, Van Celhar, Teja Fairhurst, Anna-Marie Pedroza, Claudia Petri, Michelle Saxena, Ramesh Mohan, Chandra Urinary pro-thrombotic, anti-thrombotic, and fibrinolytic molecules as biomarkers of lupus nephritis |
title | Urinary pro-thrombotic, anti-thrombotic, and fibrinolytic molecules as biomarkers of lupus nephritis |
title_full | Urinary pro-thrombotic, anti-thrombotic, and fibrinolytic molecules as biomarkers of lupus nephritis |
title_fullStr | Urinary pro-thrombotic, anti-thrombotic, and fibrinolytic molecules as biomarkers of lupus nephritis |
title_full_unstemmed | Urinary pro-thrombotic, anti-thrombotic, and fibrinolytic molecules as biomarkers of lupus nephritis |
title_short | Urinary pro-thrombotic, anti-thrombotic, and fibrinolytic molecules as biomarkers of lupus nephritis |
title_sort | urinary pro-thrombotic, anti-thrombotic, and fibrinolytic molecules as biomarkers of lupus nephritis |
topic | Research Article |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6637532/ https://www.ncbi.nlm.nih.gov/pubmed/31319876 http://dx.doi.org/10.1186/s13075-019-1959-y |
work_keys_str_mv | AT qinling urinaryprothromboticantithromboticandfibrinolyticmoleculesasbiomarkersoflupusnephritis AT stanleysamantha urinaryprothromboticantithromboticandfibrinolyticmoleculesasbiomarkersoflupusnephritis AT dinghuihua urinaryprothromboticantithromboticandfibrinolyticmoleculesasbiomarkersoflupusnephritis AT zhangting urinaryprothromboticantithromboticandfibrinolyticmoleculesasbiomarkersoflupusnephritis AT truongvan urinaryprothromboticantithromboticandfibrinolyticmoleculesasbiomarkersoflupusnephritis AT celharteja urinaryprothromboticantithromboticandfibrinolyticmoleculesasbiomarkersoflupusnephritis AT fairhurstannamarie urinaryprothromboticantithromboticandfibrinolyticmoleculesasbiomarkersoflupusnephritis AT pedrozaclaudia urinaryprothromboticantithromboticandfibrinolyticmoleculesasbiomarkersoflupusnephritis AT petrimichelle urinaryprothromboticantithromboticandfibrinolyticmoleculesasbiomarkersoflupusnephritis AT saxenaramesh urinaryprothromboticantithromboticandfibrinolyticmoleculesasbiomarkersoflupusnephritis AT mohanchandra urinaryprothromboticantithromboticandfibrinolyticmoleculesasbiomarkersoflupusnephritis |