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      Interleukin (IL) 16: a candidate urinary biomarker for proliferative lupus nephritis

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          Abstract

          Objective

          Lupus nephritis (LN) is a severe manifestation of systemic lupus erythematosus (SLE). The pathogenesis is incompletely understood and diagnostic biomarkers are scarce. We investigated interleukin (IL) 16 as a potential biomarker for LN in a well-characterised cohort of patients with SLE.

          Methods

          We measured urinary (u-) and plasma (p-) levels of IL-16 in predefined patient groups using ELISA: LN (n=84), active non-renal SLE (n=63), inactive non-renal SLE (n=73) and matched population controls (n=48). The LN group included patients with recent biopsy-confirmed proliferative (PLN, n=47), mesangioproliferative (MES, n=11) and membranous (MLN, n=26) LN. Renal expression of IL-16 was investigated by immunohistochemistry. Associations between IL-16 measurements and clinical parameters and the diagnostic value for LN were explored.

          Results

          p-IL-16 was detected in all investigated cases and high p-IL-16 levels were observed in patients with active SLE. u-IL-16 was detected (dt-u-IL-16) in 47.6% of patients with LN, while only up to 17.8% had dt-u-IL-16 in other groups. In the LN group, 68% of patients with PLN had dt-u-IL-16, while the proportions in the MLN and MES groups were lower (11.5% and 45.5%, respectively). The highest u-IL-16 levels were detected in the PLN group. In the regression model, u-IL-16 levels differentiated PLN from other LN patient subgroups (area under the curve 0.775–0.896, p<0.0001). dt-u-IL-16 had superior specificity but slightly lower sensitivity than elevated anti-double-stranded DNA and low complement C3 or C4 in diagnosing PLN. A high proportion of LN kidney infiltrating cells expressed IL-16.

          Conclusions

          We demonstrate that detectable u-IL-16 can differentiate patients with PLN from those with less severe LN subtypes and active non-renal SLE. Our findings suggest that u-IL-16 could be used as a screening tool at suspicion of severe LN. Furthermore, the high IL-16 levels in plasma, urine and kidney tissue imply that IL-16 could be explored as a therapeutic target in SLE.

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          Most cited references34

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          QuPath: Open source software for digital pathology image analysis

          QuPath is new bioimage analysis software designed to meet the growing need for a user-friendly, extensible, open-source solution for digital pathology and whole slide image analysis. In addition to offering a comprehensive panel of tumor identification and high-throughput biomarker evaluation tools, QuPath provides researchers with powerful batch-processing and scripting functionality, and an extensible platform with which to develop and share new algorithms to analyze complex tissue images. Furthermore, QuPath’s flexible design makes it suitable for a wide range of additional image analysis applications across biomedical research.
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            Derivation and validation of the Systemic Lupus International Collaborating Clinics classification criteria for systemic lupus erythematosus.

            The Systemic Lupus International Collaborating Clinics (SLICC) group revised and validated the American College of Rheumatology (ACR) systemic lupus erythematosus (SLE) classification criteria in order to improve clinical relevance, meet stringent methodology requirements, and incorporate new knowledge regarding the immunology of SLE. The classification criteria were derived from a set of 702 expert-rated patient scenarios. Recursive partitioning was used to derive an initial rule that was simplified and refined based on SLICC physician consensus. The SLICC group validated the classification criteria in a new validation sample of 690 new expert-rated patient scenarios. Seventeen criteria were identified. In the derivation set, the SLICC classification criteria resulted in fewer misclassifications compared with the current ACR classification criteria (49 versus 70; P = 0.0082) and had greater sensitivity (94% versus 86%; P < 0.0001) and equal specificity (92% versus 93%; P = 0.39). In the validation set, the SLICC classification criteria resulted in fewer misclassifications compared with the current ACR classification criteria (62 versus 74; P = 0.24) and had greater sensitivity (97% versus 83%; P < 0.0001) but lower specificity (84% versus 96%; P < 0.0001). The new SLICC classification criteria performed well in a large set of patient scenarios rated by experts. According to the SLICC rule for the classification of SLE, the patient must satisfy at least 4 criteria, including at least one clinical criterion and one immunologic criterion OR the patient must have biopsy-proven lupus nephritis in the presence of antinuclear antibodies or anti-double-stranded DNA antibodies. Copyright © 2012 by the American College of Rheumatology.
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              Using standardized serum creatinine values in the modification of diet in renal disease study equation for estimating glomerular filtration rate.

              Glomerular filtration rate (GFR) estimates facilitate detection of chronic kidney disease but require calibration of the serum creatinine assay to the laboratory that developed the equation. The 4-variable equation from the Modification of Diet in Renal Disease (MDRD) Study has been reexpressed for use with a standardized assay. To describe the performance of the revised 4-variable MDRD Study equation and compare it with the performance of the 6-variable MDRD Study and Cockcroft-Gault equations. Comparison of estimated and measured GFR. 15 clinical centers participating in a randomized, controlled trial. 1628 patients with chronic kidney disease participating in the MDRD Study. Serum creatinine levels were calibrated to an assay traceable to isotope-dilution mass spectrometry. Glomerular filtration rate was measured as urinary clearance of 125I-iothalamate. Mean measured GFR was 39.8 mL/min per 1.73 m2 (SD, 21.2). Accuracy and precision of the revised 4-variable equation were similar to those of the original 6-variable equation and better than in the Cockcroft-Gault equation, even when the latter was corrected for bias, with 90%, 91%, 60%, and 83% of estimates within 30% of measured GFR, respectively. Differences between measured and estimated GFR were greater for all equations when the estimated GFR was 60 mL/min per 1.73 m2 or greater. The MDRD Study included few patients with a GFR greater than 90 mL/min per 1.73 m2. Equations were not compared in a separate study sample. The 4-variable MDRD Study equation provides reasonably accurate GFR estimates in patients with chronic kidney disease and a measured GFR of less than 90 mL/min per 1.73 m2. By using the reexpressed MDRD Study equation with the standardized serum creatinine assay, clinical laboratories can report more accurate GFR estimates.
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                Author and article information

                Journal
                Lupus Sci Med
                Lupus Sci Med
                lupusscimed
                lupus
                Lupus Science & Medicine
                BMJ Publishing Group (BMA House, Tavistock Square, London, WC1H 9JR )
                2053-8790
                2022
                14 September 2022
                : 9
                : 1
                : e000744
                Affiliations
                [1 ]departmentDivision of Rheumatology, Department of Medicine Solna , Karolinska Institutet , Stockholm, Sweden
                [2 ]departmentDepartment of Clinical Chemistry and Pharmacology , Uppsala University Hospital , Uppsala, Sweden
                [3 ]departmentDepartment of Medicine , Hospital for Special Surgery , New York, New York, USA
                [4 ]departmentRheumatology , Karolinska University Hospital , Stockholm, Sweden
                [5 ]departmentCenter for Rheumatology , Academic Specialist Center , Stockholm, Sweden
                Author notes
                [Correspondence to ] Dr Vilija Oke; vilija.oke@ 123456ki.se
                Author information
                http://orcid.org/0000-0002-6753-7107
                http://orcid.org/0000-0003-3532-6660
                http://orcid.org/0000-0003-3396-3244
                http://orcid.org/0000-0002-1834-2688
                Article
                lupus-2022-000744
                10.1136/lupus-2022-000744
                9476119
                36104119
                3d10a2d3-cff9-4f86-ac83-57db780ff06f
                © Author(s) (or their employer(s)) 2022. Re-use permitted under CC BY-NC. No commercial re-use. See rights and permissions. Published by BMJ.

                This is an open access article distributed in accordance with the Creative Commons Attribution Non Commercial (CC BY-NC 4.0) license, which permits others to distribute, remix, adapt, build upon this work non-commercially, and license their derivative works on different terms, provided the original work is properly cited, appropriate credit is given, any changes made indicated, and the use is non-commercial. See:  http://creativecommons.org/licenses/by-nc/4.0/.

                History
                : 04 June 2022
                : 01 September 2022
                Funding
                Funded by: ALF;
                Award ID: N/A
                Funded by: The Fund for Renal Research;
                Award ID: N/A
                Funded by: Ingegerd Johansson’s donation;
                Award ID: SLS-713911
                Funded by: The Swedish Rheumatism Association;
                Award ID: N/A
                Funded by: The King Gustaf V 80th Birthday Fund;
                Award ID: N/A
                Funded by: Signe and Reinhold Sunds Foundation;
                Award ID: N/A
                Funded by: Karolinska Institutets-Mayo Clinic collaboration grant;
                Award ID: N/A
                Funded by: Stockholm County Council, Karolinska Institutets Foundation, The Swedish Society of Medicine;
                Award ID: SLS-713911
                Funded by: Swedish Research Council, Swedish Heart-Lung Foundation;
                Award ID: N/A
                Funded by: Westman’s fund;
                Award ID: N/A
                Categories
                Lupus Nephritis
                1506
                2255
                Original research
                Custom metadata
                unlocked

                systemic lupus erythematosus,lupus nephritis,cytokines,inflammation

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