| Literature DB >> 22518072 |
Beili Shi1, Zhaohui Ni, Liou Cao, Minjie Zhou, Shan Mou, Qin Wang, Minfang Zhang, Wei Fang, Yucheng Yan, Jiaqi Qian.
Abstract
BACKGROUND: IgA nephropathy (IgAN) was thought to be benign but recently found it slowly progresses and leads to ESRD eventually. The aim of this research is to investigate the value of serum IL-18 level, a sensitive biomarker for proximal tubule injury, for assessing the histopathological severity and disease progression in IgAN.Entities:
Mesh:
Year: 2012 PMID: 22518072 PMCID: PMC3306983 DOI: 10.1155/2012/728417
Source DB: PubMed Journal: Mediators Inflamm ISSN: 0962-9351 Impact factor: 4.711
Demographic, clinical, and histological data in IgAN patients at baseline.
| Parameter | Data |
|---|---|
| Male/female | 37/39 |
| Age (year) | 38.85 ± 10.95 |
| Smoking history (%) | 13 (17.11) |
| SBP (mmHg) | 124.42 ± 19.18 |
| DBP (mmHg) | 80.58 ± 12.40 |
| Hemoglobin (g/dL) | 124.16 ± 18.74 |
| Proteinuria (g/24 h) | 2.61 (1.43~4.08) |
| sAlb (g/L) | 36.12 ± 6.26 |
| Scr ( | 95.90 (78.00~118.40) |
| eGFR (mL/min/1.73 m2) | 75.83 ± 4.41 |
| sIgA (mmol/L) | 3.09 ± 1.15 |
| Hs-CRP (mg/L) | 4.56 ± 0.92 |
| Cholesterol (mmol/L) | 5.87 ± 1.24 |
| Triglyceride (mmol/L) | 2.68 ± 0.61 |
| sIL-18 (pg/mL) | 360.26 ± 25.23 |
| Lee's grading system | |
| Grade III | 17 (22.36%) |
| Grade IV | 39 (51.31%) |
| Grade V | 20 (26.32%) |
| GSS | 0.24 (0.09−0.50) |
| TID | 4.00 (2.00−6.00) |
Data are mean ± SD or median interquartile range, and comparisons between groups were made by the Student's t-test or χ2 test as appropriate. SBP, systolic blood pressure; DBP, diastolic blood pressure; SAlb, serum albumin; Scr, serum creatinine; eGFR, estimated glomerular filtration rate; sIgA, serum immunoglobulin A; Hs-CRP, high-sensitivity C-reactive protein; sIL-18, serum interleukin-18; GSS, global and segmental sclerosis; TID, tubulointerstitial damage.
Figure 1Serum IL-18 concentration was significantly elevated in patients with IgAN than healthy controls (P < 0.01).
Clinical and histological data in Rs and NRs patients.
| Rs patients | NRs patients |
| |
|---|---|---|---|
| Age (y) | 39.54 ± 11.33 | 37.58 ± 10.32 | 0.61 |
| Female, | 23 (45.10%) | 12 (50.00%) | 0.82 |
| Smokers, | 9 (17.64%) | 4 (16.00%) | 0.58 |
| SBP (mmHg) | 124.4 ± 19.2 | 121.7 ± 15.6 | 0.06 |
| DBP (mmHg) | 80.6 ± 12.4 | 77.5 ± 7.5 | 1.35 |
| Hemoglobin (g/L) | 125.17 ± 21.17 | 134.58 ± 8.98 | 0.07 |
| Albumin (g/L) | 38.03 ± 5.99 | 36.52 ± 5.61 | 0.35 |
| Scr ( | 101.32 ± 36.56 | 94.73 ± 32.39 | 0.60 |
| eGFR (mL/min/1.73 m2) | 73.32 ± 25.27 | 80.85 ± 29.09 | 0.45 |
| Urinary protein (g/24 h) | 2.73 (1.65–3.91) | 1.86 (1.28–2.69) | 0.13 |
| sIgA (g/L) | 3.05 ± 1.07 | 3.38 ± 0.68 | 0.33 |
| sIL-18 (pg/mL) | 348.35 ± 37.05 | 384.06 ± 15.10 | 0.02 |
| GGS (%) | 0.22 (0.09–0.43) | 0.25 (0.08–0.50) | 0.67 |
| TID | 3.00 (2.00–4.00) | 4.50 (3.00–6.00) | 0.04 |
Figure 2In patients respond to corticosteroid therapy (R group), sIL-18 decreased significantly both in responders and nonresponders (P < 0.05) while NRs patients showed much higher baseline IL-18 levels (P = 0.02).
Multivariate regression model to evaluate correlated factors with responsiveness to steroid therapy.
| Parameters |
|
|
|---|---|---|
| Sex | 0.112 | 0.559 |
| Age (year) | 0.023 | 0.899 |
| Smoke duration | −0.362 | 0.238 |
| SBP (mmHg) | 0.279 | 0.112 |
| DBP (mmHg) | 0.022 | 0.099 |
| Hemoglobin (g/dL) | −0.057 | 0.761 |
| Proteinuria (g/24 h) | 0.070 | 0.704 |
| sAlb (g/L) | 0.469 | 0.040 |
| Scr ( | 0.157 | 0.384 |
| eGFR (mL/min/1.73 m2) | −0.195 | 0.278 |
| sIgA (mmol/L) | −0.104 | 0.570 |
| Hs-CRP (mg/L) | −0.078 | 0.474 |
| Cholesterol (mmol/L) | −0.638 | 0.881 |
| Triglyceride (mmol/L) | −0.294 | 0.729 |
| sIL-18 (pg/mL) | −0.003 | 0.010 |
| Lee's grading system | −0.075 | 0.676 |
| GSS | −0.151 | 0.398 |
| TID | −0.236 | 0.018 |
Clinical and histological data between patients with proteinuria above 3.5 g/24 h or not.
| Proteinuria lower than 3.5 g/24 h | Proteinuria above 3.5 g/24 h |
| |
|---|---|---|---|
| Age (y) | 38.87 ± 10.76 | 37.49 ± 9.98 | 0.88 |
| Female, | 28 (49.12%) | 11 (57.89%) | 0.67 |
| Smokers, | 10 (17.54%) | 3 (15.79%) | 0.49 |
| SBP (mmHg) | 124.54 ± 18.33 | 118.8 ± 14.02 | 0.52 |
| DBP (mmHg) | 79.62 ± 10.90 | 77.24 ± 7.91 | 0.56 |
| Hemoglobin (g/L) | 131.15 ± 19.38 | 119.78 ± 14.04 | 0.15 |
| Albumin (g/L) | 38.21 ± 3.66 | 35.42 ± 8.51 | 0.02 |
| Scr ( | 100.32 ± 35.42 | 95.37 ± 35.09 | 0.99 |
| eGFR (mL/min/1.73 m2) | 72.89 ± 25.40 | 80.64 ± 29.00 | 0.37 |
| sIgA (g/L) | 3.13 ± 0.97 | 3.26 ± 1.00 | 0.62 |
| sIL-18 (pg/mL) | 346.03 ± 15.52 | 402.94 ± 19.86 | 0.02 |
| GGS (%) | 0.24 (0.14–0.26) | 0.35 (0.06–0.47) | 0.05 |
| TID | 4.00 (3.00–4.00) | 4.50 (2.00–6.00) | 0.88 |
Figure 3ROC curve for the utility of serum interleukin 18 levels for prediction of tubulo-interstitial damage in IgA nephropathy patients.
Comparison of clinical and histological parameters between IgAN patients with renal function deterioration or not in follow-up.
| Parameters | Renal function deteriorated | Renal function stable |
|
|---|---|---|---|
| Age (year) | 39.71 ± 9.59 | 37.12 ± 11.07 | 0.38 |
| SBP (mmHg) | 130.02 ± 20.18 | 125.42 ± 18.09 | 0.27 |
| DBP (mmHg) | 85.03 ± 10.40 | 80.00 ± 13.91 | 0.19 |
| Hemoglobin (g/dL) | 119.00 ± 21.68 | 128.79 ± 12.45 | 0.03 |
| Proteinuria (g/24 h) | 2.4 (1.4~4.0) | 2.6 (1.7~3.1) | 0.56 |
| sAlb (g/L) | 36.1 ± 6.2 | 38.9 ± 3.9 | 0.34 |
| Cholesterol (mmol/L) | 5.78 ± 1.36 | 5.90 ± 1.19 | 0.89 |
| Triglyceride (mmol/L) | 2.49 ± 0.70 | 2.78 ± 0.58 | 0.08 |
| Scr ( | 97.50 (71.20–111.80) | 83.10 (71.00–109.70) | 0.03 |
| eGFR (mL/min) | 71.49 ± 5.11 | 82.65 ± 7.89 | 0.04 |
| sIgA (g/L) | 3.2 ± 0.7 | 3.1 ± 1.2 | 0.28 |
| Hs-CRP (mg/L) | 4.76 ± 1.01 | 4.34 ± 0.98 | 0.30 |
| sIL-18 at baseline (pg/mL) | 364.45 ± 40.25 | 353.67 ± 16.36 | 0.02 |
| sIL-18 after treatment (pg/mL) | 132.44 ± 32.40 | 99.41 ± 24.14 | 0.04 |
| GSS | 0.28 (0.09–0.50) | 0.25 (0.08–0.43) | 0.78 |
| TID | 4.00 (3.00–6.00) | 2.50 (2.00–4.00) | 0.03 |
| Steroid responsiveness ( | 19 | 32 | 0.06 |
Figure 4IgAN patients who had higher than median IL-18 levels (346.80 pg/mL) at baseline had worse renal outcome in follow-up period (Log rank P = 0.03). In this figure, green line represents those patients with higher sIL-18 levels.
Figure 5IgAN patients who had higher TID scores at baseline had worse renal outcome in follow-up period (Log rank P = 0.005). In this figure, green line represents those patients with higher TID scores.
Cox Regression analysis using to evaluate risk factor for renal function deterioration in patients with IgA nephropathy.
| Parameter |
|
|
|
|---|---|---|---|
| TID score | 1.96 | 3.69 | 0.001 |
| sIL-18 (pg/mL) | 1.98 | 2.77 | 0.003 |
| Baseline Scr ( | 0.09 | 0.19 | 0.017 |
| eGFR (mL/min/1.73 m2) | −0.05 | 0.01 | 0.023 |
| Proteinuia (g/24 h) | 2.50 | 0.33 | 0.056 |
| Gender | 0.56 | 0.32 | 0.572 |
| Age (year) | −0.19 | −3.98 | 0.312 |
| Smoke history | 0.33 | 0.41 | 0.746 |
| SBP (mmHg) | −0.03 | −0.27 | 0.760 |
| DBP (mmHg) | 0.02 | 0.23 | 0.821 |
| Hemoglobin (g/dL) | 0.22 | 1.43 | 0.739 |
| sAlb (g/L) | 0.002 | 0.02 | 0.734 |
| Cholesterol (mmol/L) | 0.07 | 0.59 | 0.653 |
| Triglyceride (mmol/L) | −0.18 | −1.53 | 0.533 |
| sIgA (g/L) | 0.18 | 1.97 | 0.812 |
| Hs-CRP (mg/L) | 0.13 | 1.45 | 0.931 |
| GSS (%) | −0.04 | −0.36 | 0.602 |