| Literature DB >> 35280914 |
Satoka Shiratori-Aso1, Daigo Nakazawa1, Saori Nishio1, Yusho Ueda1, Mina Eguchi1, Ai Yokoyama1, Junpei Yoshikawa1, Takashi Kudo1, Kanako Watanabe-Kusunoki1, Sayo Takeda-Otera1, Junya Yamamoto1, Naoko Matsuoka1, Nobuharu Kaneshima2, Fumihiko Hattanda1, Sari Iwasaki3, Takahiro Tsuji3, Yuichiro Fukasawa3, Tatsuya Atsumi1.
Abstract
Background: Autoimmune tubulointerstitial nephritis (TIN) is characterized by immune-mediated tubular injury and requires immunosuppressive therapy. However, diagnosing TIN and assessing therapeutic response are challenging for clinicians due to the lack of useful biomarkers. Pathologically, CD4+ T cells infiltrate to renal tubulointerstitium, and soluble interleukin-2 receptor (sIL-2R) has been widely known as a serological marker of activated T cell. Here, we explored the usefulness of serum sIL-2R to predict the treatment outcome in patients with autoimmune TIN.Entities:
Keywords: autoimmune disease; biomarkers; soluble interleukin-2 receptor; therapeutic response; tubulointerstitial nephritis
Year: 2022 PMID: 35280914 PMCID: PMC8914032 DOI: 10.3389/fmed.2022.827388
Source DB: PubMed Journal: Front Med (Lausanne) ISSN: 2296-858X
Figure 1Patient flowchart.
Figure 2Baseline serum sIL-2R level and correlation between ΔeGFR and baseline factors. (A) sIL-2R level in patients with IgA nephropathy (n = 17), diabetic nephropathy (n = 9), and autoimmune TIN (n = 30). ***P < 0.001, Wilcoxon rank-sum test. (B) Correlation between ΔeGFR and baseline factors in patients with autoimmune TIN. Spearman's rank correlation coefficient (r) and linear regression line between ΔeGFR and baseline factors.
Regression analysis of renal recovery [ΔeGFR (%)] in autoimmune TIN patients.
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| Age (year) | 0.139 | 0.564 | ||
| Female | −7.118 | 0.463 | ||
| BMI (kg/m2) | 1.020 | 0.565 | ||
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| White blood cells | −0.209 | 0.338 | −0.199 | 0.203 |
| Eosinophils (/μL) | 0.026 | 0.194 | ||
| Hemoglobin (g/dL) | −3.939 | 0.263 | ||
| Platelets (104/μL) | −1.350 | 0.163 | ||
| sIL-2R | 1.353 | <0.001 | 1.102 | <0.001 |
| Albumin (g/dL) | −6.983 | 0.300 | ||
| CRP (mg/dL) | −0.449 | 0.739 | ||
| Bicarbonate | −2.967 | 0.033 | −2.054 | 0.059 |
| eGFR (mL/min/1.73 m2) | −0.621 | 0.006 | ||
| Immunoglobulin G (100 mg/dL) | 0.552 | 0.159 | ||
| Complement 3 (mg/dL) | −0.307 | 0.035 | ||
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| Urinary protein (g/gCre) | 9.316 | 0.124 | ||
| Hematuria | −4.353 | 0.705 | ||
| Leukocyturia | 14.72 | 0.221 | ||
| β2MG/Cre (mg/gCre) | −0.036 | 0.721 | ||
| NAG/Cre (U/gCre) | 0.069 | 0.676 | ||
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| Initial corticosteroid dose (0.1 mg/kg) | 0.838 | 0.708 | ||
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| Inflammatory cells infiltration to interstitium (%) | −0.193 | 0.573 | ||
| Fibrosis (%) | −0.306 | 0.646 | ||
Variables forced to be included in multivariate analysis.
Variables selected for multivariate analysis by forward selection with P < 0.20.
P < 0.05,
P < 0.01,
P < 0.001.
BMI, body mass index; sIL-2R, soluble interleukin-2 receptor; CRP, C-reactive protein; eGFR, estimated glomerular filtration rate; Cre, creatinine; β2MG, beta2-microglobulin; NAG, N-acetyl-beta-D-glucosaminidase; TIN, tubulointerstitial nephritis.
Figure 3Predictive value of sIL-2R level for corticosteroid response. (A) Receiver operating characteristic curves of predictors of renal recovery (ΔeGFR ≥ 30%). (B) Cumulative incidence of renal recovery (ΔeGFR ≥ 30%) according to sIL-2R level. (C) Individual changes in eGFR and serum sIL-2R by the cutoff value of sIL-2R. TIN, tubulointerstitial nephritis; IgAN, immunoglobulin A nephropathy; DKD, diabetic kidney disease; sIL-2R, soluble interleukin-2 receptor; eGFR, estimated glomerular filtration rate; β2MG, beta2-microglobulin; NAG, N-acetyl-beta-D-glucosaminidase.