A discrete cluster of urinary biomarkers discriminates between active systemic lupus erythematosus patients with and without glomerulonephritis.
A discrete cluster of urinary biomarkers discriminates between active systemic lupus erythematosus patients with and without glomerulonephritis.
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DOI:
10.1186/s13075-016-1120-0
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发表时间:
2016-10-04
影响因子:
4.9
通讯作者:
Wither J
中科院分区:
文献类型:
--
作者:
Landolt-Marticorena C;Prokopec SD;Morrison S;Noamani B;Bonilla D;Reich H;Scholey J;Avila-Casado C;Fortin PR;Boutros PC;Wither J
Management of lupus nephritis (LN) would be greatly aided by the discovery of biomarkers that accurately reflect changes in disease activity. Here, we used a proteomics approach to identify potential urinary biomarkers associated with LN. Urine was obtained from 60 LN patients with paired renal biopsies, 25 active non-LN SLE patients, and 24 healthy controls. Using Luminex, 128 analytes were quantified and normalized to urinary creatinine levels. Data were analyzed by linear modeling and non-parametric statistics, with corrections for multiple comparisons. A second cohort of 33 active LN, 16 active non-LN, and 30 remission LN SLE patients was used to validate the results. Forty-four analytes were identified that were significantly increased in active LN as compared to active non-LN. This included a number of unique proteins (e.g., TIMP-1, PAI-1, PF4, vWF, and IL-15) as well as known candidate LN biomarkers (e.g., adiponectin, sVCAM-1, and IL-6), that differed markedly (>4-fold) between active LN and non-LN, all of which were confirmed in the validation cohort and normalized in remission LN patients. These proteins demonstrated an enhanced ability to discriminate between active LN and non-LN patients over several previously reported biomarkers. Ten proteins were found to significantly correlate with the activity score on renal biopsy, eight of which strongly discriminated between active proliferative and non-proliferative/chronic renal lesions. A number of promising urinary biomarkers that correlate with the presence of active renal disease and/or renal biopsy changes were identified and appear to outperform many of the existing proposed biomarkers. The online version of this article (doi:10.1186/s13075-016-1120-0) contains supplementary material, which is available to authorized users.
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影响因子:
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作者:
Brunner, Hermine I.;Mueller, Michelle;Devarajan, Prasad
通讯作者:
Devarajan, Prasad
影响因子:
2.6
作者:
Abujam, B.;Cheekatla, S. S.;Aggarwal, A.
通讯作者:
Aggarwal, A.
影响因子:
--
作者:
Brunner, Hermine I.;Bennett, Michael R.;Mina, Rina;Suzuki, Michiko;Petri, Michelle;Kiani, Adnan N.;Pendl, Joshua;Witte, David;Ying, Jun;Rovin, Brad H.;Devarajan, Prasad
通讯作者:
Devarajan, Prasad
影响因子:
2.5
作者:
Ayodele, Olugbenga Edward;Okpechi, Ikechi G.;Swanepoel, Charles R.
通讯作者:
Swanepoel, Charles R.
影响因子:
2.5
作者:
MEZZANO, S;BURGOS, ME;MEZZANO, D
通讯作者:
MEZZANO, D