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1.
Lupus Sci Med ; 9(1)2022 09.
Article in English | MEDLINE | ID: mdl-36104119

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.


Subject(s)
Interleukin-16/urine , Lupus Erythematosus, Systemic , Lupus Nephritis , Biomarkers , Humans , Interleukins/urine , Lupus Erythematosus, Systemic/complications , Lupus Erythematosus, Systemic/diagnosis
2.
Transplant Proc ; 42(9): 3399-405, 2010 Nov.
Article in English | MEDLINE | ID: mdl-21094786

ABSTRACT

INTRODUCTION: Delayed graft function (DGF) and slow graft function (SGF) due to ischemic and reperfusion injury (IRI) are common complications of deceased donor kidney transplantation. We tested whether a panel of serum and urine cytokines represent early biomarkers for DGF and SGF. METHODS: We collected serum and urine samples from 61 patients 48 hours posttransplantation and used a multiplex enzyme-linked immunosorbent assay (ELISA) technique to measure levels of 23 cytokines. Fourteen patients developed poor graft function (PGF), with 6 having DGF and 8 with SGF. RESULTS: Area under receiver operation characteristics curve (AUC) demonstrated the following: serum levels of SCF (0.88) and interleukin (IL) 16 (0.74). CONCLUSIONS: This study showed that a select panel of cytokines measured early post kidney transplantation may predict poor graft function.


Subject(s)
Delayed Graft Function/etiology , Interleukin-16/blood , Interleukin-2 Receptor alpha Subunit/blood , Kidney Diseases/etiology , Kidney Failure, Chronic/surgery , Kidney Transplantation/adverse effects , Reperfusion Injury/etiology , Stem Cell Factor/blood , Adult , Aged , Aged, 80 and over , Area Under Curve , Baltimore , Biomarkers/blood , Biomarkers/urine , Delayed Graft Function/blood , Delayed Graft Function/urine , Enzyme-Linked Immunosorbent Assay , Female , Humans , Immunosuppressive Agents/therapeutic use , Interleukin-16/urine , Kidney Diseases/blood , Kidney Diseases/urine , Logistic Models , Male , Middle Aged , Predictive Value of Tests , Prospective Studies , Reperfusion Injury/blood , Reperfusion Injury/urine , Stem Cell Factor/urine , Time Factors , Treatment Outcome
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