| Literature DB >> 22682001 |
Hai-Feng Zhang1, Shuang-Lun Xie, Yang-Xin Chen, Jing-Ting Mai, Jing-Feng Wang, Wa-Li Zhu, Li-Guang Zhu.
Abstract
BACKGROUND: Interleukin-33 (IL-33) has been linked to chronic heart failure (CHF) in animal studies, but data on serum IL-33 levels in human CHF are not available. We analyzed levels of IL-33 in serum, and investigated the possible role of IL-33 in oxidative stress.Entities:
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Year: 2012 PMID: 22682001 PMCID: PMC3514300 DOI: 10.1186/1479-5876-10-120
Source DB: PubMed Journal: J Transl Med ISSN: 1479-5876 Impact factor: 5.531
Characteristics of all participants
| | ||||
|---|---|---|---|---|
| Age (years) | 66.72 ± 5.73 | 66.98 ± 6.32 | 66.35 ± 5.91 | 0.60 |
| Male (%) | 102 (57.62%) | 101 (57.71%) | 109 (57.07%) | 0.99 |
| HR (beat/min) | 78.46 ± 11.22 | 81.30 ± 14.58 | 72.17 ± 16.94 | <0.01 |
| SBP (mmHg) | 115.10 ± 14.97 | 136.98 ± 29.04 | 127.74 ± 23.46 | <0.01 |
| DBP (mmHg) | 71.97 ± 9.48 | 76.34 ± 11.96 | 71.01 ± 15.90 | <0.01 |
| Echocardiographic parameters | | | | |
| LVEF (%) | NR | 68.12 ± 7.14 | 27. 90 ± 4.09 | <0.01 |
| LVEDD (mm) | NR | 47.60 ± 3.44 | 59.07 ± 5.82 | <0.01 |
| LVESD (mm) | NR | 29.04 ± 3.16 | 37.88 ± 4.14 | <0.01 |
| Primary cardiac diseases | | | | |
| CHD (%) | NR | 103 (58.86) | 103 (53.93) | <0.01 |
| HBP (%) | NR | 41 (23.43) | 39 (20.42) | |
| CHD+HBP (%) | NR | 31 (17.71) | 35 (18.32) | |
| DCM (%) | NR | 0 (0) | 14 (7.33) | |
| Chemical markers | | | | |
| serum creatinine (μmol/) | NR | 73.48 ± 5.04 | 130.58 ± 84.50 | <0.01 |
| NT-proBNP (ρg/ml) | NR | 88.89 (7.14-311.89) | 5492.06 (187.21-18199.75) | <0.01 |
| eSOD (U/mg Hb) | NR | 1.41 ± 0.77 | 2.27 ± 1.11 | <0.01 |
| MDA (nmol/l) | NR | 4.11 ± 1.25 | 4.69 ± 1.97 | <0.01 |
Continuous data are the mean ± SD or median and range (for NT-proBNP). Categorical variables are presented as absolute and relative frequencies.
*, For categorical data, P values were derived by Pearson’s χ2 test; for continuous data, P values were calculated using the one-way ANOVA except in relation to NT-proBNP, for which the Kruskal-Wallis test was used.
NR, not relevant; HC, healthy controls; CHF, chronic heart failure; CHD, coronary heart disease; HBP, hypertension; DCM, dilated cardiomyopathy; HR, heart rate; SBP, systolic blood pressure; DBP, diastolic blood pressure; LVEF, left ventricular ejection fraction; LVEDD, left ventricular end-diastolic dimension; LVESD, left ventricular end-systolic dimension; NT-proBNP, N-terminal probrain natriuretic peptide; eSOD, erythrocyte superoxide dismutase; MDA, malondialdehyde.
Figure 1Box chart for serum levels of IL-33 (A), sST2 (B), and IL-33/sST2 ratio (C). Circulating IL-33 and sST2 were significantly increased in CHF patients whereas IL-33/sST2 ratios were decreased. Blood samples were obtained from healthy controls (HC, n = 177), cardiac-disease patients without CHF (non-CHF patients, n =175) and CHF patients (CHF patients, n = 191). Data are expressed as minima, quartiles, and maxima. Statistical analyses were done using the Kruskal-Wallis test followed by Dunn’s post-hoc test for multiple comparisons. The dotted line denotes the sensitivity of the ELISA kits. Abbreviations are the same as those shown in Table 1.
Figure 2Scatterplot between serum levels of IL-33 and NT-proBNP (A) and LVEF (B) in CHF patients. Serum levels of IL-33 were significantly and positively correlated with those of NT-proBNP but negatively correlated with LVEF. Correlation coefficients were calculated by Spearman’s correlation analyses. Abbreviations are the same as those shown in Table 1.
Figure 3Western blot analyses for serum in CHF patients, non-CHF patients, and HC. IL-33 in serum was collected by immunoprecipitation, which was subsequently subjected to western blotting for analyzing the exact form of IL-33 in serum. Total IL-33 contents: ≈2.7 ng in CHF; ≈1.9 ng in non-CHF and ≈ 1.7 ng in HC. c-IL33, cleaved IL-33; f-IL33, full-length IL-33. Other abbreviations are the same as those shown in Table 1.
Demographic data of patients with different causes of CHF
| | |||||
|---|---|---|---|---|---|
| Age (years) | 66.30 ± 5.99 | 64.77 ± 6.31 | 68.03 ± 5.51 | 66.93 ± 4.12 | 0.12 |
| Male (%) | 63 (61.17%) | 20 (51.28%) | 21 (60.00%) | 5 (36%) | 0.27 |
| HR (beat/min) | 70.78 ± 16.89 | 73.26 ± 15.89 | 72.97 ± 16.92 | 77.5 ± 20.19 | 0.51 |
| SBP (mmHg) | 117.40 ± 21.09 | 149.71 ± 10.67 | 144.94 ± 12.19 | 100.86 ± 3.10 | <0.01 |
| DBP (mmHg) | 64.99 ± 14.36 | 84.69 ± 12.02 | 79.23 ± 12.80 | 58.14 ± 6.86 | <0.01 |
| NYHA III/IV | 43/60 | 13/26 | 17/18 | 5/9 | 0.58 |
| Echocardiographic data | | | | | |
| LVEF (%) | 28.42 ± 4.04 | 27.48 ± 3.74 | 27.89 ± 4.11 | 28.47 ± 3.22 | 0.08 |
| LVEDD (mm) | 58.52 ± 6.40 | 59.53 ± 5.42 | 59.07 ± 5.82 | 61.32 ± 6.04 | 0.36 |
| LVESD (mm) | 37.53 ± 4.30 | 38.03 ± 3.94 | 37.88 ± 4.14 | 38.48 ± 4.49 | 0.60 |
| Chemical markers | | | | | |
| serum creatinine (μmol/l) | 126.70 ± 80.40 | 133.17 ± 93.37 | 137.06 ± 82.00 | 135.70 ± 101.50 | 0.92 |
| NT-proBNP (ρg/ml) | 5281.94 (239.83-19199.74) | 5029.96 (187.21-15635.25) | 6914.30 (687.84-15716.93) | 5894.20 (1479.39-11550.13) | 0.34 |
| eSOD (U/mg Hb) | 2.35 ± 1.10 | 2.22 ± 1.12 | 2.18 ± 1.24 | 2.04 ± 0.89 | 0.71 |
| MDA (nmol/l) | 4.90 ± 1.97 | 4.55 ± 1.93 | 4.15 ± 2.06 | 4.85 ± 1.79 | 0.25 |
| Medications at arrival | | | | | |
| ACEIs/ARBs (%) | 25 (24.27) | 9 (23.08) | 9 (25.71) | 4 (28.57) | 0.06 |
| βRB (%) | 10 (9.71) | 8 (20.51) | 9 (17.14) | 1 (7.14) | 0.08 |
| Statins (%) | 28 (27.18) | 1 (2.56) | 9 (25.71) | 0 (0) | <0.01 |
| Diuretics (%) | 21 (20.29) | 13 (33.33) | 10 (28.57) | 5 (35.71) | 0.31 |
| Digitalis (%) | 25 (24.27) | 12 (30.77) | 10 (28.57) | 2 (14.29) | 0.61 |
Continuous data are the mean ± SD or median and range (for NT-proBNP). Categorical variables are presented as absolute and/or relative frequencies.
*For categorical data, P values were derived by Pearson’s χ2; for continuous data, P values were calculated using one-way ANOVA followed by the Student-Newman-Keuls test for multiple post-hoc comparisons except in relation to NT-proBNP, for which the Kruskal-Wallis test was used. NYHA, New York Heart Association; ACEI, angiotensin-converting enzyme inhibitor; ARB, angiotensin-II receptor blocker; β-RB, β-receptor blocker. Other abbreviations and acronyms are the same as shown in Table 1.
Figure 4Vertical bar chart for serum levels of IL-33 (A, C) and the IL-33/sST2 ratio (B, D) for various causes of CHF (A, B) and for different medications (C, D). Serum samples were obtained from 103, 39, 35, and 14 patients with coronary heart disease, hypertension, coronary heart disease and hypertension, and dilated cardiomyopathy, respectively. Data are expressed as quartiles and maxima. Serum levels of IL-33 and IL-33/sST2 ratios were not significantly different among CHF patients with various causes (A, B). IL-33 levels and the IL-33/sST2 ratio in patients under different drug therapies was similar (C, D). Statistical analyses were done using the Kruskal-Wallis test. The dotted line denotes the sensitivity of the ELISA kits. Abbreviations are the same as those shown in Table 1.
Figure 5Scatterplot between serum levels of IL-33 and eSOD activity (A) and MDA (B), serum levels of sST2 and eSOD activity (C) and MDA (D), and between IL-33/sST2 ratios and MDA levels (E) in CHF patients. Serum levels of IL-33 were negatively correlated with eSOD activity and positively correlated with serum MDA contents (A and B). sST2 had a closer relationship with these oxidation markers (C and D). IL-33/sST2 ratios were slightly (but significantly) correlated with decreased MDA contents (E). Correlation coefficients were calculated by Spearman’s correlation analyses. Abbreviations are the same as those shown in Tables 1 and 2.
Figure 6Recombinant human IL-33 dose-dependently reduced MDA contents (A, n = 6) and increased SOD activity (B, n = 6) in Ang II-stimulated AC16 cells, which could be dramatically attenuated by sST2. Data are the mean ± SEM. All results were from three independent sets. Statistical analyses were undertaken using one-way ANOVA with the Tukey post-hoc test for multiple comparisons. The paired t-test was used to compare values for samples with and without sST2 (10 μg/ml). *, P < 0.05 versus Ang II+PBS; §, P < 0.01 versus 1 ng/ml IL-33; ¶, P < 0.05 versus 5 ng/ml IL-33; ‡, P < 0.05 versus 10 ng/ml IL-33. Abbreviations are the same as those shown in Table 1.