Research Article | Open Access
Yuan-yuan Qi, Xu-jie Zhou, Fa-juan Cheng, Hong Zhang, "Elevated Plasma α-Defensins (HNP1–3) Levels Correlated with IgA1 Glycosylation and Susceptibility to IgA Nephropathy", Disease Markers, vol. 2016, Article ID 8123138, 7 pages, 2016. https://doi.org/10.1155/2016/8123138
Elevated Plasma α-Defensins (HNP1–3) Levels Correlated with IgA1 Glycosylation and Susceptibility to IgA Nephropathy
Aim. IgA nephropathy (IgAN) is the most common form of glomerulonephritis. Recent genome-wide association study (GWAS) suggested that DEFA locus (which encodes α-defensins) may play a key role in IgAN. Methods. The levels of α-defensins in 169 IgAN patients and 83 healthy controls were tested by ELISA. Results. We observed that α-defensins human neutrophil peptides 1–3 (HNP1–3) in IgAN patients were elevated compared with healthy controls. The mean levels of α-defensins of 83 healthy controls and 169 IgAN patients were 50 ng/mL and 78.42 ng/mL. When the results were adjusted to the mean levels of α-defensins of IgAN patients, the percentage of individuals with high levels of α-defensins increased in IgAN patients (22.5%) compared to healthy controls (9.6%) (). The elevation of α-defensins in IgAN patients was independent of renal function or neutrophil count, which were major sources of α-defensins in circulation. More importantly, negative correlation was observed between galactose-deficient IgA1and α-defensins. Conclusion. As α-defensin is a lectin-like peptide, we speculated that it might be involved in IgA galactose deficiency. The data implied that patients with IgAN had higher plasma α-defensins levels and high α-defensins correlated with IgA galactose deficiency, further suggesting a pathogenic role of α-defensins in IgAN.
IgAN is the most common cause of end-stage renal disease (ESRD) among Asian populations . The diagnostic hallmark of IgAN is the predominance of deposition with immune complex containing IgA in mesangial regions, but the pathogenetic factors remain obscure. Multiple studies have established that aberrantly glycosylated IgA1 plays an important role in the pathogenesis of IgAN [2–6]. In patients with IgAN, some circulating IgA1 are deficient of O-glycans. Furthermore, mesangial immune deposits eluted directly from glomeruli of IgAN patients contained Gd-IgA1 [7, 8]. Our previous study discovered that the elevation of serum galactose-deficient IgA1 is associated with a poor prognosis in IgAN . On the basis of the potential pathogenic role of Gd-IgA1 in the development of IgAN, the mechanism of the glomerular mesangium deposition of IgA1 immune complexes remained to be an import issue. Recent advances implicated that genetic factor, especially in promoting the overproduction of an aberrant form of IgA1, plays a key role in IgAN. More recently, several genome-wide association studies and candidate gene studies confirmed that single nucleotide polymorphisms (SNPs) in DEFA locus were strongly associated with IgAN susceptibility, further supporting the likely key role of mucosal immunity in IgAN [10–14].
HNP1–3, encoded by DEFA1 and DEFA3, are part of the α-defensins family of peptides, which in humans include six known members and are almost identical in sequences. They are normally synthesized in neutrophil precursor cells and released by mature circulating neutrophils at inflammatory sites . α-defensins are generally considered to be direct effectors of innate antimicrobial immunity to kill and/or inactivate a particular spectrum of bacteria, fungi, or some enveloped viruses in vitro . In addition, α-defensins might also be a component of the effector of adaptive immunity mediating B- and T-cell interactions linking innate and adaptive immunity .
In certain disease states, plasma or local α-defensins would depart from normal levels. α-defensins levels were elevated in plasma of SLE patients and could serve as a marker for disease activity [17, 18]. In patients with diabetic nephropathy, HNP1–3 concentrations are increased and there was an independent relationship between estimated GFR (Cockcroft–Gault) and HNP1–3 . Serological studies of defensins would provide crucial insight in exploring the pathogenesis and the development of diseases. As for IgA nephropathy, the current progress is in genetic field along with multiple SNP identified contributed to the IgAN susceptibility. Since serological investigation is absent in IgAN, we conducted a case-control study to check the plasma levels of α-defensins in IgAN patients.
2. Materials and Methods
In the present study, 169 IgAN patients, whose plasma were available and were followed up at least 12 months, were enrolled. The diagnosis of IgAN was proved by renal biopsy. 83 healthy controls were blood donors with matched gender and age with the IgAN patients. Patients with IgAN were confirmed by renal biopsy and those with secondary IgAN or other comorbid renal diseases such as systemic lupus erythematosus, vasculitis, or Henoch-Schonlein purpura were not included. Clinical data, including age (years), gender (male/female, %), systolic blood pressure (SBP) (mmHg), diastolic blood pressure (DBP) (mmHg), neutrophil count (/L), prodromal infection (%), elevated C-reactive protein (CRP) levels (%), erythrocyte sedimentation rate (ESR) (mm/1st h), triglycerides (TG) (mmol/L), total cholesterol (TCHOL) (mmol/L), high-density lipoprotein cholesterol (HDL) (mmol/L), low-density lipoprotein cholesterol (LDL) (mmol/L), hyperlipidemia (%), uric acid (μmol/L), serum creatinine (Scr) (μmol/L), estimate glomerular filtration rate (eGFR) (mL/min per 1.73 m2), stage 1, 2, 3, 4, and 5 CKD (%), galactose-deficient IgA1 (Gd-IgA1) (U/mL, median, IQR), total IgA (μg/mL, median, IQR), plasma IgA1 (μg/mL, median, IQR), initial proteinuria (g/day), urinary red blood cell (RBC) count (/μL), gross hematuria (%), 24-hour total urine protein (UTP) (g/day), histological grading, I, II, III, IV, and V (%), Oxford classification M (%), E (%), S (%), and T (%), angiotensin-converting enzyme (ACE) inhibitors or angiotensin II receptor blockers (ARBs) (%), and prednisone (%), were collected at the time of renal biopsy. The composite end point was defined as 50% decline from baseline eGFR or end-stage renal disease (ESRD) or death. For the purpose of this study, ESRD was defined as eGFR < 15 mL/min per 1.73 m2 or need for renal replacement therapy (such as hemodialysis, peritoneal dialysis, or renal transplantation). The modification of diet in renal disease formula was used to calculate the eGFR . At least two independent pathologists graded and reviewed the renal biopsy specimens and reached a consensus. The histological lesions were classified according to HASS grading (I–V) from mild lesions to severe lesions . Hyperlipidemia was assigned when any of the TG, TCHOL, and LDL indexes was above the normal ranges of the department of laboratory of our hospital. This study was approved by the medical ethics committee of Peking University First Hospital and written informed consent was obtained from all the patients.
2.2. Detection of Plasma HNP1–3, IgA, Plasma IgA1, and Gd-IgA1 by ELISA
Plasma IgA, IgA1, and Gd-IgA1 levels were detected by ELISA as previously published . Briefly for Gd-IgA1, 2.5 mg/mL F fragment of goat anti-human IgA (Jackson ImmunoResearch Labs, West Grove, PA) was incubated in high-binding MaxiSorp 96-well plates (Nalge-Nunc, Rochester, NY) and blocked with 1% bovine serum albumin (Sigma Chemical Company, St Louis, MO) in PBS 0.05% Tween 20. The standard curve was made by duplicates of twofold dilutions of serum samples with a range from 1 : 2000 to 1 : 16,000 for Gd-IgA1. To quantitate Gd-IgA1, a standard consisting of a polymeric Gd-IgA1 protein isolated from a patient with multiple myeloma was used and the terminal sialic acid from O-linked N-acetylgalactosamine on bound samples and the standard IgA1 myeloma protein were removed by incubation with 1 mU/well neuraminidase (Roche Diagnostic, Indianapolis, IN) in 0.01 mol/L acetate buffer pH 5 for 3 h at 37°C. Then they were incubated with 100 mL biotin-labeled HAA (1 : 500 dilution, Sigma) for 3 h at 37°C. After washing, they were incubated with 100 mL mouse anti-human monoclonal antibody (1 : 50,000 dilution, Sigma) for 1 h at 37°C followed by an incubation with horseradish peroxidase-ExtrAvidin (Sigma) for 1 h at 37°C. 1 mol/L sulfuric acid was used to stop the color reaction and the absorbance was measured at 490 nm with an EL312 Bio-Kinetics microplate reader (Bio-Tek Instruments, Winooski, VT). The determination of Gd-IgA1 concentration in the tested samples was calculated with the DeltaSoft II program (BioMetallics, Princeton, NJ) by interpolating the optical densities on calibration curves, constructed using a Gd-IgA1 myeloma protein. Influenced by galactose in the standard IgA1 myeloma protein, the concentration of Gd-IgA1 was expressed in U/mL. The HAA-ELISA was repeated with 108 randomly selected patients’ samples for intra-assay variability.
Plasma α-defensin concentration of IgAN patients was quantified by ELISA using a commercial human HNP1–3 ELISA Kit (Hycult Biotechnology B.V., Uden, Netherlands) with the measurable concentration ranges from 156 to 10,000 pg/mL. Briefly, plasma samples were stored at −80°C after being separated by centrifugation at 1500 rpm for 15 min at room temperature and clarification centrifugation at 3000 rpm. According to manufacturer’s instructions, samples and standards are incubated for 60 min in microtiter wells coated with human HNP1–3 antibodies. After 4 times of thorough washing, the second antibody containing biotinylated tracer antibody was added to capture human HNP1–3 for 60 min and then washed again and incubated with treptavidin-peroxidase conjugate for 60 min. The reaction was stopped with 1 mol/L sulfuric acid and the absence was measured at 450 nm with an EL312 Bio-Kinetics microplate reader (Bio-Tek Instruments, Winooski, VT). To assess the degree of intra-assay variability, one sample had been repeated 3 times to minimize the deviation.
2.3. Statistical Analyses
Means and standard deviations were used to summarize statistics for normally distributed quantitative variables. We used median and IQR to summarize nonnormally distributed variables and ratios and percentages for categorical data. Student’s t-test (two groups) or analysis of variance (multiple groups) was used to compare differences in means for continuous variables. Differences in proportions were tested by test. The association of plasma HNP1–3 levels and the primary outcome were analyzed by Cox proportional hazards models. We used natural log to transform HNP1–3 and Gd-IgA1 as it was highly skewed to the right in this group of patients. Statistical analysis was achieved with the SPSS 16.0 software package (SPSS Inc., Chicago, IL). A two-tailed value < 0.05 was considered statistically significant.
3.1. Patient Baseline Characteristics and Clinical Outcome
As is shown in Table 1, there were 86 (50.9%) males and 83 (49.1%) females with mean age at the time of kidney biopsy of years. The median proteinuria of IgAN patients on biopsy was g per 24 h (range: 0.14–13.72 g/24 h) and median Scr was 91 μmol/L (range: 54–789 μmol/L). The average eGFR was mL/min per 1.73 m2 (range 6.30–164.90 mL/min per 1.73 m2). Systolic blood pressure was mmHg and diastolic blood pressure was mmHg, with 49 patients (29%) being hypertensive at baseline. The distribution by Haas grades I, II, III, IV, and V was 10.1%, 0%, 34.3%, 42%, and 13.6%, respectively. The median follow-up time was 48 months (range: 12–96 months, Table 1). 165 (97.6%) patients received ACE inhibitors or ARBs therapy and 79 (46.7%) received oral corticosteroids alone or combined with other immunosuppressive agents during the follow-up period. In total, 30 patients reached the composite end point of 50% decline in eGFR, ESRD, or death.
|SBP: systolic blood pressure; DBP diastolic blood pressure; CRP: C-reactive protein; ESR: erythrocyte sedimentation rate; TG: triglycerides; TCHOL: total cholesterol; HDL: high-density lipoprotein cholesterol; LDL: low-density lipoprotein cholesterol; Scr: serum creatinine; eGFR: estimate glomerular filtration rate; CKD: chronic kidney disease; 24-hour UTP: 24-hour total urine protein; Gd-IgA1: galactose-deficient IgA1; ACE: angiotensin-converting enzyme; ARB: angiotensin II receptor blocker.|
1Low plasma α-defensins levels were defined as levels below 78.42 ng/mL. 2High plasma α-defensins levels were defined as levels above 78.42 ng/mL. 3eGFR was calculated based on MDRD formula modified population. 4Histological grading was classified according to pathological proposed by Haas.
3.2. Levels of HNP1–3 in IgAN Patients
We first set out to determine the levels of the HNP1–3 in the plasma of our IgAN patients by ELISA. The mean levels of plasma α-defensins 83 healthy controls and 169 patients with IgA nephropathy were 50 ng/mL and 78.42 ng/mL. As can be shown in Figure 1, some patients with IgAN showed marked value of α-defensin. When the results were adjusted to the value of the mean level of α-defensin in IgAN patients, it was shown that the percentage of individuals with high levels of α-defensins increased in patients (22.5%) comparing with that in healthy controls (9.6%) (, OR 2.719, 95% CI 1.206–6.135).
3.3. The Levels of HNP1–3 Correlation with IgAN Clinical Characteristics and Prognosis
To test the clinical manifestations differences between patients with high and low α-defensins levels, the median α-defensins level of healthy controls (78.42 ng/mL) was defined as the cut-off for dividing patients into two groups. Low plasma α-defensins levels were defined as levels below 78.42 ng/mL. High plasma α-defensins levels were defined as levels above 78.42 ng/mL. 131 (77.5%) IgAN patients were assigned to the group with low (below 78.42 ng/mL) α-defensins levels and 38 (22.5%) IgAN patients were assigned to the group with high (above 78.42 ng/mL) α-defensins levels. The main clinical manifestations demonstrated that there were no differences in age, sex, blood pressure, initial proteinuria, and eGFR, in two groups of patients. Serum creatinine and eGFR were not associated with the levels of α-defensins in IgAN patients, likely suggesting no accumulation of α-defensins as the result of reduced glomerular filtration rate (, and , , resp.) (Figures 2(d) and 2(c)). In addition, there was no correlation between the neutrophil count and the levels of α-defensins in IgAN patients (, ) (Figure 2(b)).
In the group of patients with high α-defensins plasma levels, Gd-IgA1 was significantly lower (median 236.98.47 U/mL and interquartile range 203.10–350.01 U/mL) than patients with low α-defensins levels (median 318.56 U/mL, interquartile range 242.80–405.67 U/mL, and ). More importantly, we also found that low Gd-IgA1 was correlated with high α-defensins levels (, ) (Figure 2(a)). Levels of plasma IgA or plasma IgA1 showed no significant between patients with high and low α-defensins (Table 1).
No association were observed in plasma HNP1–3 level with other clinical manifestations (such as SBP, DBP, prodromal infection, gross hematuria, 24-hour UTP, Scr, and eGFR) and renal outcome (Table 1).
In this study, we measured the levels of HNP1–3 in IgAN patients. We found that the α-defensins in IgAN patients were elevated compared with healthy controls which was independent of renal function and neutrophil count. The high level of plasma α-defensins might be due to neutrophil activation instead of increased neutrophil numbers. More importantly, we also found that low Gd-IgA1 was associated with high α-defensins levels. On the basis of the potential pathogenic role of Gd-IgA1 in the development of IgAN, α-defensins may be involved in the pathogenesis of IgAN not just through serological changes.
The defensins of vertebrate animals comprised by 18–45 amino-acid residues are small cationic peptides including three subfamilies of defensins, namely, α-, β-, and θ-defensins. There are six human α-defensin peptides, namely, HNP1–3, HNP4, and HD5-6, which shows consistency in amino acids sequences to some degree. HNP1–3 and HD5 have lectin-like affinity for glycosylated molecules that can bind carbohydrates in making glycolipids, glycoproteins, and proteoglycans [22–25]. IgA1 are glycoproteins which consist of a hinge region (HR) with a high content of proline (Pro), serine (Ser), and threonine (Thr) between the first and second heavy chain constant region domains. Within the IgA1 HR, six O-linked glycan chains have been identified which have been localized to Ser/Thr residues Thr225, Thr228, Ser230, Ser232, Thr233, and Thr236 [26–30]. IgA1 O-linked glycans are composed of N-acetylgalactosamine (GalNAc) with a β1, 3-linked Gal. α2, 3-linked Gal or α2, 6-linked GalNAc may be capable of sialic acid attachment [31–33]. Glycosylation is the process that a carbohydrate, such as a glycosyl donor, is attached to a hydroxyl or a glycosyl acceptor. Gd-IgA1 is mainly represented as the deficiency of galactose in hinge regions which may lead to increased exposure of glycosyl in GalNAc. α-defensin is a lectin-like peptide, which has carbohydrate-binding activity . We hypothesized that α-defensin could bond to exposed glycosyl in N-acetylgalactosamine of IgA1 molecular which might contribute to IgA1 aggregation and deposition in mesangial regions. Our present study supported the hypothesis showing that α-defensins were elevated in patients with IgAN and were negatively correlated with galactose deficiency of circulating IgA1.
In addition to their role in circulation, α-defensins can also play a role in local tissues. α-defensins can induce the secretion of inflammatory cytokines and inflammatory chemokines in lung epithelial cells promoting local inflammatory response. Besides, α-defensins can also facilitate the migration of fibroblasts/epithelial cell proliferation and increase extracellular matrix production . Since α-defensins have both inflammatory and fibrosis effects in other organs, further study should be carried out in depth about their effects on renal tissue. Unfortunately, no significant difference as for M, E, S, and T classification was observed between patients with the low and high α-defensins levels. This negative finding might be due to certain cell lines used in the inflammatory and fibrosis effects of α-defensins studies without evidences from renal resident cells. Since the effect of different cell lines might not be the same, the inflammatory and fibrosis effects of renal resident cells should be further investigated. However, the correlation between the levels of α-defensins and Gd-IgA1 was relatively low. And no significant association of clinical manifestations was observed between patients with high and low levels of α-defensins. Future more widespread replications and functional assays were of special interest.
In conclusion, our study identified that the α-defensins in IgAN patients were elevated which was independent of renal function and neutrophil count. And we also found that high Gd-IgA1 was associated with low α-defensins levels. We speculate that α-defensins may bind Gd-IgA1 in circulation which finally deposit in the kidney promoting local inflammation and fibrosis.
|GWAS:||Genome-wide association study|
|HNP:||Human neutrophil peptide|
|ESRD:||End-stage renal disease|
|SNPs:||Single nucleotide polymorphisms|
|eGFR:||Estimated glomerular filtration rate|
|ARB:||Angiotensin II receptor blocker|
|CKD:||Chronic kidney disease|
|DBP:||Diastolic blood pressure|
|SBP:||Systolic blood pressure|
|ESR:||Erythrocyte sedimentation rate|
|HDL:||High-density lipoprotein cholesterol|
|LDL:||Low-density lipoprotein cholesterol|
|24-hour UTP:||24-hour total urine protein.|
The funders had no role in study design, data collection and analysis, decision to publish, or preparation of the paper.
The authors declare that there is no conflict of interests regarding the publication of this paper.
Xu-jie Zhou and Hong Zhang designed the research; Yuan-yuan Qi and Fa-juan Cheng performed the research; Yuan-yuan Qi and Xu-jie Zhou analyzed the data; and Yuan-yuan Qi and Xu-jie Zhou wrote the paper.
The authors thank their collaborators including Ali G. Gharavi from Department of Medicine, Columbia University College of Physicians and Surgeons, New York, USA, for assistance. They also thank all the members of the laboratory for technical assistance and the patients and their families for their cooperation and for giving consent to participate in this study. This work was supported by Grants from the National Natural Science Foundation of China (no. 81570629), Beijing Natural Science Foundation (7152148), Chinese Society of Nephrology (15020030591), the Major State Basic Research Development Program of China (973 Program, no. 2012CB517700), the Research Fund of Beijing Municipal Science and Technology for the Outstanding PhD Program (no. 20121000110), the Foundation of the Ministry of Education of China (no. 20120001120008), the Natural Science Fund of China to the Innovation Research Group (no. 81021004), and National Key Technology R&D Program (2013BAI09B14).
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