1,785,291 research outputs found

    A discrete cluster of urinary biomarkers discriminates between active systemic lupus erythematosus patients with and without glomerulonephritis.

    Get PDF
    BackgroundManagement 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.MethodsUrine 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.ResultsForty-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.ConclusionsA 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

    Evaluation of some non-elementary integrals involving sine, cosine, exponential and logarithmic integrals: Part I

    Get PDF
    The non-elementary integrals Siβ,α=[sin(λxβ)/(λxα)]dx,β1,αβ+1\text{Si}_{\beta,\alpha}=\int [\sin{(\lambda x^\beta)}/(\lambda x^\alpha)] dx,\beta\ge1,\alpha\le\beta+1 and Ciβ,α=[cos(λxβ)/(λxα)]dx,β1,α2β+1\text{Ci}_{\beta,\alpha}=\int [\cos{(\lambda x^\beta)}/(\lambda x^\alpha)] dx, \beta\ge1, \alpha\le2\beta+1, where {β,α}R\{\beta,\alpha\}\in\mathbb{R}, are evaluated in terms of the hypergeometric functions 1F2_{1}F_2 and 2F3_{2}F_3, and their asymptotic expressions for x1|x|\gg1 are also derived. The integrals of the form [sinn(λxβ)/(λxα)]dx\int [\sin^n{(\lambda x^\beta)}/(\lambda x^\alpha)] dx and [cosn(λxβ)/(λxα)]dx\int [\cos^n{(\lambda x^\beta)}/(\lambda x^\alpha)] dx, where nn is a positive integer, are expressed in terms Siβ,α\text{Si}_{\beta,\alpha} and Ciβ,α\text{Ci}_{\beta,\alpha}, and then evaluated. Siβ,α\text{Si}_{\beta,\alpha} and Ciβ,α\text{Ci}_{\beta,\alpha} are also evaluated in terms of the hypergeometric function 2F2_{2}F_2. And so, the hypergeometric functions, 1F2_{1}F_2 and 2F3_{2}F_3, are expressed in terms of 2F2_{2}F_2.The exponential integral Eiβ,α=(eλxβ/xα)dx\text{Ei}_{\beta,\alpha}=\int (e^{\lambda x^\beta}/x^\alpha) dx where β1\beta\ge1 and αβ+1\alpha\le\beta+1 and the logarithmic integral Li=μxdt/lnt,μ>1\text{Li}=\int_{\mu}^{x} dt/\ln{t}, \mu>1 are also expressed in terms of 2F2_{2}F_2, and their asymptotic expressions are investigated. It is found that for xμx\gg\mu, \text{Li}\sim {x}/{\ln{x}}+\ln{\left(\frac{\ln{x}}{\ln{\mu}}\right)}-2-\ln{\mu}\hspace{.075cm} _{2}F_{2}(1,1;2,2;\ln{\mu}), where the term \ln{\left(\frac{\ln{x}}{\ln{\mu}}\right)}-2-\ln{\mu}\hspace{.075cm} _{2}F_{2}(1,1;2,2;\ln{\mu}) is added to the known expression in mathematical literature Lix/lnx\text{Li}\sim {x}/{\ln{x}}.Comment: 23 pages, 1 figure, Accepted for publication by the Ural Math.
    corecore