Yu-Han Cao

MicroRNA-29c in urinary exosome/microvesicle as a biomarker of renal fibrosis

Micro (mi)RNAs are frequently dysregulated in the development of renal fibrosis. Exosomes are small membrane vesicles that could be isolated from urine secreted from all nephron segments. Here we sought to observe for the first time whether miRNA in urine exosome could serve as a potential biomarker of renal fibrosis. Urine samples were collected from 32 chronic kidney disease (CKD) patients who underwent kidney biopsy and 7 controls. Exosome was isolated and confirmed by immunogold staining of exosome marker. Members of miR-29, miR-200, and RNU6B as endogenous control were detected by RT quantitative PCR. Electronic microscopy verified a typical shape of exosome with average size of 65.1 nm and labeled it with anti-CD9 and anti-aquaporin 2 antibody. Members of miR-29 and miR-200 are readily measured with reduced levels compared with controls (P < 0.05) and can robustly distinguish CKD from controls [area under the curve (AUC) varied from 0.902 to 1 by receiver operating characteristics analysis]. miR-29c correlated with both estimated glomerular filtration rate (r = 0.362; P < 0.05) and degree of tubulointerstitial fibrosis (r = -0.359; P < 0.05) for CKD patients. Moreover, miRNA in exosome was decreased in mild fibrosis group compared with moderated to severe group. miR-29a and miR-29c could predict degree of tubulointerstitial fibrosis with AUC of 0.883 and 0.738 (P < 0.05). The sensitivity and specificity for distinguishing mild from moderate to severe fibrosis were 93.8 and 81.3% with the use of miR-29a and 68.8 and 81.3% for miR-29c. Overall, miR-29c in urinary exosome correlates with both renal function and degree of histological fibrosis, suggesting it as a novel, noninvasive marker for renal fibrosis.

Isolation and quantification of microRNAs from urinary exosomes/microvesicles for biomarker discovery.

Recent studies indicate that microRNA (miRNA) is contained within exosome. Here we sought to optimize the methodologies for the isolation and quantification of urinary exosomal microRNA as a prelude to biomarker discovery studies. Exosomes were isolated through ultracentrifugation and characterized by immunoelectron microscopy. To determine the RNA was confined inside exosomes, the pellet was treated with RNase before RNA isolation. The minimum urine volume, storage conditions for exosomes and exosomal miRNA was evaluated. The presence of miRNAs in patients with various kidney diseases was validated with real-time PCR. The result shows that miRNAs extracted from the exosomal fraction were resistant to RNase digestion and with high quality confirmed by agarose electrophoresis. 16ml of urine was sufficient for miRNA isolation by absolute quantification with 4.15×105 copies/ul for miR-200c. Exosomes was stable at 4℃ 24h for shipping before stored at -80℃ and was stable in urine when stored at -80°C for 12months. Exosomal miRNA was detectable despite 5 repeat freeze-thaw cycles. The detection of miRNA by quantitative PCR showed high reproducibility (>94% for intra-assay and >76% for inter-assay), high sensitivity (positive call 100% for CKD patients), broad dynamic range (8-log wide) and good linearity for quantification (R2>0.99). miR-29c and miR-200c showed different expression in different types of kidney disease. In summary, the presence of urinary exosomal miRNA was confirmed for patients with a diversity of chronic kidney disease. The conditions of urine collection, storage and miRNA detection determined in this study may be useful for future biomarker discovery efforts.

CD2AP mRNA in urinary exosome as biomarker of kidney disease.

AIMS Podocyte injury plays an important role in the pathogenesis of kidney disease. Urinary exosomes are microvesicles released by tubular epithelial cells and podocytes containing information of their originated cells. This study investigated for the first time whether podocyte related mRNA in urinary exosome could serve as novel biomarkers for kidney disease. METHODS Urine samples were collected from 32 patients of kidney disease who underwent kidney biopsy and 7 controls. CD2AP, NPHS2 and synaptopodin were detected by real-time RT-PCR on RNA isolated from urinary exosome. RESULTS The pellet microvesicles were positively stained with exosome and podocyte marker, AQP2, CD9 and nephrin. CD2AP mRNA was lower (p=0.008) in kidney disease patients compared with controls and decreased with the increasing severity of proteinuria (p=0.06). CD2AP correlated with serum creatinine (r=-0.373, p=0.035), BUN (r=-0.445, p=0.009) and eGFR (r=0.351, p=0.046). Neither NPHS2 nor synaptopodin correlated with parameters of renal function. CD2AP mRNA correlated negatively with 24 hour urine protein (r=-0.403, p=0.022), severity of tubulointerstitial fibrosis (r=-0.394, p=0.026) and glomerulosclerosis (r=-0.389, p=0.031) and could discriminate kidney disease from controls with AUC of 0.821 (p=0.008). CONCLUSIONS Urinary exosome mRNA of CD2AP might be a non-invasive tool for detecting both renal function and fibrosis of kidney disease.

Urinary mRNA markers of epithelial-mesenchymal transition correlate with progression of diabetic nephropathy.

Objective  Epithelial–mesenchymal transition (EMT) plays an important role in the pathogenesis and progression of diabetic nephropathy (DN). Quantification of messenger RNA (mRNA) expression in urinary sediment is emerging as a noninvasive method of screening DN‐associated biomarkers. The aim of our study was to examine whether urinary mRNA profile of EMT‐associated genes may provide valuable clinical insight into the different stages of DN.

A Pilot Trial Assessing Urinary Gene Expression Profiling with an mRNA Array for Diabetic Nephropathy

Background The initiation and progression of diabetic nephropathy (DN) is complex. Quantification of mRNA expression in urinary sediment has emerged as a novel strategy for studying renal diseases. Considering the numerous molecules involved in DN development, a high-throughput platform with parallel detection of multiple mRNAs is needed. In this study, we constructed a self-assembling mRNA array to analyze urinary mRNAs in DN patients with aims to reveal its potential in searching novel biomarkers. Methods mRNA array containing 88 genes were fabricated and its performance was evaluated. A pilot study with 9 subjects including 6 DN patients and 3 normal controls were studied with the array. DN patients were assigned into two groups according to their estimate glomerular rate (eGFR): DNI group (eGFR>60 ml/min/1.73 m2, n = 3) and DNII group (eGFR<60 ml/min/1.73 m2, n = 3). Urinary cell pellet was collected from each study participant. Relative abundance of these target mRNAs from urinary pellet was quantified with the array. Results The array we fabricated displayed high sensitivity and specificity. Moreover, the Cts of Positive PCR Controls in our experiments were 24±0.5 which indicated high repeatability of the array. A total of 29 mRNAs were significantly increased in DN patients compared with controls (p<0.05). Among these genes, α-actinin4, CDH2, ACE, FAT1, synaptopodin, COL4α, twist, NOTCH3 mRNA expression were 15-fold higher than those in normal controls. In contrast, urinary TIMP-1 mRNA was significantly decreased in DN patients (p<0.05). It was shown that CTGF, MCP-1, PAI-1, ACE, CDH1, CDH2 mRNA varied significantly among the 3 study groups, and their mRNA levels increased with DN progression (p<0.05). Conclusion Our pilot study demonstrated that mRNA array might serve as a high-throughput and sensitive tool for detecting mRNA expression in urinary sediment. Thus, this primary study indicated that mRNA array probably could be a useful tool for searching new biomarkers for DN.

Urinary Vimentin mRNA as a Potential Novel Biomarker of Renal Fibrosis

Renal fibrosis is a histological outcome of chronic kidney disease (CKD) progression. However, the noninvasive detection of renal fibrosis remains a challenge. Here we constructed a renal fibrosis target mRNA array and used it to detect urinary mRNAs of CKD patients for investigating potential noninvasive biomarkers of renal fibrosis. We collected urine samples from 39 biopsy-proven CKD patients and 11 healthy controls in the training set. Urinary mRNA profiles of 86 genes showed a total of 21 mRNAs that were differentially expressed between CKD patients and controls (P < 0.05), and vimentin (VIM) mRNA demonstrated the highest change fold of 9.99 in CKD vs. controls with robust correlations with decline of renal function and severity of tubulointerstitial fibrosis. Additionally, VIM mRNA further differentiated patients with moderate-to-severe fibrosis from none-to-mild fibrosis group with an area of the curve of 0.796 (P = 0.008). A verification of VIM mRNA in the urine of an additional 96 patients and 20 controls showed that VIM is not only well correlated with renal function parameters but also correlated with proteinuria and renal fibrosis scores. Multiple logistic regression and receiver-operating characteristics analysis further showed that urine VIM mRNA is the best predictive parameter of renal fibrosis compared with estimated glomerular filtration rate, serum creatinine, and blood urea nitrogen. In addition, there is no improved predictive performance for the composite biomarkers to predict renal fibrosis severity compared with a single gene of VIM. Overall, urinary VIM mRNA might serve as a novel independent noninvasive biomarker to monitor the progression of kidney fibrosis.

Are Urinary Tubular Injury Markers Useful in Chronic Kidney Disease? A Systematic Review and Meta Analysis

Background Adverse outcome of chronic kidney disease, such as end stage renal disease, is a significant burden on personal health and healthcare costs. Urinary tubular injury markers, such as NGAL, KIM-1 and NAG, could provide useful prognostic value for the early identification of high-risk patients. However, discrepancies between recent large prospective studies have resulted in controversy regarding the potential clinical value of these markers. Therefore, we conducted the first meta-analysis to provide a more persuasive argument to this debate. Methods In the current meta-analysis, based on ten prospective studies involving 29366 participants, we evaluated the role of urinary tubular injury markers (NGAL, KIM-1 and NAG) in predicting clinical outcomes including CKD stage 3, end stage renal disease and mortality. The prognostic values of these biomarkers were estimated using relative risks and 95% confidence interval in adjusted models. All risk estimates were normalized to those of 1 standard deviation increase in log-scale concentrations to minimize heterogeneity. Fixed-effects models were adopted to combine risk estimates. The quality of the research and between-study heterogeneity were evaluated. The level of research evidence was identified according to the GRADE profiler. Results uNGAL was identified as an independent risk predictor of ESRD (pooled adjusted relative risk: 1.40[1.21 to 1.61], p<0.001) and of overall mortality (pooled adjusted relative risk: 1.10[1.03 to 1.18], p = 0.001) in patients with chronic kidney disease. A borderline significance of uKIM-1 in predicting CKD stage 3 independently in the community-based population was observed (pooled adjusted relative risk: 1.13[1.00 to 1.27], p = 0.057). Only the prognostic value of uNGAL for ESRD was supported by a grade B level of evidence. Conclusion The concentration of uNGAL can be used in practice as an independent predictor of end stage renal disease among patients with chronic kidney disease, but it may be not useful in predicting disease progression to CKD stage 3 among community-based population.

Feature selection and classification of urinary mRNA microarray data by iterative random forest to diagnose renal fibrosis: a two-stage study

Renal fibrosis is a common pathological pathway of progressive chronic kidney disease (CKD). However, kidney function parameters are suboptimal for detecting early fibrosis, and therefore, novel biomarkers are urgently needed. We designed a 2-stage study and constructed a targeted microarray to detect urinary mRNAs of CKD patients with renal biopsy and healthy participants. We analysed the microarray data by an iterative random forest method to select candidate biomarkers and produce a more accurate classifier of renal fibrosis. Seventy-six and 49 participants were enrolled into stage I and stage II studies, respectively. By the iterative random forest method, we identified a four-mRNA signature in urinary sediment, including TGFβ1, MMP9, TIMP2, and vimentin, as important features of tubulointerstitial fibrosis (TIF). All four mRNAs significantly correlated with TIF scores and discriminated TIF with high sensitivity, which was further validated in the stage-II study. The combined classifiers showed excellent sensitivity and outperformed serum creatinine and estimated glomerular filtration rate measurements in diagnosing TIF. Another four mRNAs significantly correlated with glomerulosclerosis. These findings showed that urinary mRNAs can serve as sensitive biomarkers of renal fibrosis, and the random forest classifier containing urinary mRNAs showed favourable performance in diagnosing early renal fibrosis.

Urinary mRNA expression of CCN2/CCN3 as a noninvasive marker for monitoring glomerular structure changes in nondiabetic chronic kidney disease.

Background: We investigated whether urinary mRNA of connective tissue growth factor (CCN2) and nephroblastoma overexpressed gene (CCN3) can provide clinical insight into the management of patients with nondiabetic CKD. Methods: Urinary mRNA expression of CCN2 and CCN3 were measured by Real-time PCR in 35 CKD patients and 12 controls. Results: Urinary mRNA of CCN2 and CCN3 were distinctively greater in CKDs than healthy controls. Urinary CCN3/CCN2 mRNA ratio correlated to the degree of glomerular histological changes in those who received renal biopsy. Conclusion: Urinary CCN3/CCN2 mRNA ratio may be a useful noninvasive biomarker for evaluating patients with nondiabetic CKD prior to renal biopsy.