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Extracellular RNA in renal diseases

Abstract

The discovery of extracellular RNA (exRNA) in blood and bodily fluids has expended our knowledge on RNA functions. ExRNAs may be transferred between cells and have functional significance in health and diseases by horizontal gene regulation. Moreover, exRNA may serve as diagnostic biomarkers and therapeutic tools. Thanks to the evolving techniques, exRNAs, particularly those detected from urine have gained great interest in renal diseases. However, most current studies on exRNA in renal diseases were derived from limited numbers of patients or in vitro data. Recent isolation and detection techniques also remained controversial. Nonetheless, the reliable techniques are developing and improving. This review will provide insights into the roles of exRNA in pathogenesis, diagnosis and therapy of renal diseases.

Introduction

Many RNA species have been found in eukaryotic cells by interpretations of gene transcription within genomes. However, the discovery of RNAs outside the cells is more striking because of the assumption that high levels of RNAse in plasma and various body fluids will immediately destroy extracellular RNA (exRNA). Most exRNAs are either encased in extracellular membranous vesicles or formed complexes with lipids or proteins to avoid degradation. There are growing interests in exRNA over the past decade. With the development and improvement of isolation and detection tools that enable the discovery of exRNAs, researchers in nephrology have detected exRNAs in various body fluids, particularly blood and urine. Analysis of urinary exRNAs may serve as noninvasive and logical diagnostic and prognostic approaches. Moreover, the transitivity of exRNA information between cells suggests their functional and probably therapeutic roles in renal diseases. In this review, we will overview of the characterization of exRNA, summarize the current cognition about the role of exRNAs in renal diseases and compare the isolation and detection techniques.

Characterize of exRNAs

Given the levels of RNAse in extracellular spaces, RNA function is considered to be applicable only within the cells. However, with the assistance of highly sensitive tools, exRNAs have been discovered in bodily fluids, including plasma/serum [1], urine [2], saliva [3], breast milk [4] and semen [5, 6].

ExRNA defines a group of several types of RNAs exist in the extracellular environment, whose functions are diverse. The types of exRNA that have been found are as follows: microRNA (miRNA, miR), small interfering RNA (siRNA), messenger RNA (mRNA), transfer RNA (tRNA), long non-coding RNA (lncRNA), piwi-interacting RNA (piRNAs) and small nucleolar RNA (snoRNA) [7].

To avoid degradation, most exRNAs are either packaged within membranous vesicles, such as exosomes (40–100 nm), shedding vesicles (100-1000 nm) and apoptotic vesicles [8, 9], or are associated with proteins or lipids.

Most studies have focused on exosomes as carriers of exRNA, the reasons may as follows: (i) recent RNA microarray studies were mainly performed from purified exosomes [10,11,12]. (ii) exosomes are endosomal origin vesicles that formed by invaginated multivesicular bodies (MVBs) and contain signaling concern endosomal transport within cytoplasm and fusion with plasma membrane [13], which means the export of RNA through exosome is highly regulated. Moreover, (iii) some RNAs are actively imported into MVBs during the process of intraluminal vesiculation, since the localization of miRNAs processing RISC machinery to the surface of MVBs [14, 15] and the decrease in miRNA secretion by inhibition of ceramide synthesis [16,17,18,19]. However, how longer RNAs, particularly mRNAs or lncRNAs are specifically export into exosomes is quite unclear.

Although multiple types of RNAs were detected by microarrays and RNA sequencing experiments, the abundance of full-length mRNAs and whether they have biological activities remain uncertain. It is also unknown whether there is a size threshold for lncRNAs. Recently, Ben-Dov et al. demonstrated that urine-derived extracellular vesicles were enriched with plenty of miRNA but with lesser content of rRNA, tRNA or snoRNA [20]. Therefore, most studies are focused on miRNAs.

Besides membranous vesicles, extracellular miRNAs can also form complex with either argonaute protein or high density lipoprotein (HDL). Vickers et al. found that HDL transported endogenous miRNAs and delivered them to cultured hepatocytes resulted in significant loss of conserved mRNA targets [21]. However, the study by Wagner et al. suggested that HDL could not efficiently deliver the bounded miRNAs to smooth muscle, endothelial and peripheral blood mononuclear cells [22]. Turchinovich and Arroyo et al. showed that extracellular miRNAs were mainly vesicles free and were associated with argonaute 2 protein, a part of RNA-induced silencing complex [23, 24]. Wang et al. identified nucleophosmin 1 (NPM1) in culture medium from several cell lines as another extracellular miRNA binding protein, which may be involved in both exporting and protecting process of miRNA [25]. However, these extracellular miRNAs were probably by-products of dead cells [24]. Taken together, evidences strongly suggested that the extracellular vesicle may constitute a well-designed pathway for intercellular transfer of miRNA information [26, 27].

ExRNAs in renal disease, pathogenesis, diagnosis and therapy

The stably existence of RNA outside the cells has expanded our knowledge of the role exRNA may play in complex processes. Firstly, the concept that exRNAs represent a novel approach in intercellular signaling that alter the phenotypes of target cells, both locally and at distant sites highlight the transformative capacity that exRNAs may have in regulating physiology and pathology. Then, the exRNAs, especially those release into the urine from epithelial cells facing the urinary space could be representative of the health or disease condition of the urinary system and serve as an ideal source of non-invasive biomarkers for renal dysfunction and injury. Last but not least, therapies targeting exRNAs involved in pathogenesis of kidney diseases and targeted delivery of exRNA-loaded extracellular vesicles (EVs) for gene therapy will be promising therapeutic interventions. Here, we discuss studies published thus far on exRNAs in renal diseases with major findings.

Acute kidney injury

In a global assessment of circulating miRNA in critically ill patients complicated with acute kidney injury (AKI), Lorenzen et al. identified differently expressed miR-16, miR-320 and miR-210 and concluded that miR-210 was an independently strong predictor of survival [28].

Compared with normal human, urinary miR-494 level was 60-fold higher in patients with AKI. In ischemia/reperfusion (I/R) model, miR-494 in urinary was significantly increased even before the serum creatinine rose. Therefore, MiR-494 may serve as a noninvasive biomarker for AKI. Moreover, miR-494 may inhibit the upregulation of activating transcription factor 3 (ATF3), which contributed to inflammatory or adhesion molecule-induced kidney injury after I/R [29].

Wang et al. demonstrated that urinary but not serum miR-10a and miR-30d may represent sensitive biomarkers for I/R-induced kidney injury and evaluating urinary miRNAs may be potentially high-throughput and noninvasive methods for detecting renal injury [30].

Pavkovic et al. detected more than 20-fold changes for 11 urinary miRNAs in rats with cisplatin [31]. The authors found that these changes may lead to DNA damage response, cell cycle dysregulation and cell apoptosis in cisplatin-induced nephrotoxicity.

Recovery of AKI could be improved by administration of mesenchymal stem cells (MSCs). Microarray analysis of RNAs in extracted microvesicles revealed several cellular mRNAs that were shuttled horizontally by microvesicles. These mRNAs were those associated with mesenchymal phonotype by transcriptional regulation and with control of immunology, which may promote proliferation of surviving tubular cells after injury [32].

Depletion of miRNA in MSCs by Drosha-knockdown resulted in global downregulation of miRNAs in MSCs-derived vesicles and markedly reduced their intrinsic potential of regeneration after AKI, which suggested a critical role of exosomal miRNA in recovery in AKI [33].

In ATP-depleted proximal tubular epithelial cells (PTECs) induced by 2-deoxyglucose (2-DG) and antimycin A co-treatment, MSCs-derived EVs mediated miRNAs transfer and was associated with transcriptional regulation of miRNAs in damaged PTECs. These miRNAs were involved in the processes of repair and recovery [34].

Similar findings were described in cisplatin-induced AKI. Insulin growth factor-1 receptor (IGF-1R) mRNA was transfer by MSCs-derived exosomes, which improved sensitivity to IGF-1 and enhanced cell proliferation after cisplatin damage [35].

These studies elucidated that MSC-derived “healing” exRNAs directly potentiated the regenerative capacity of injured tubular cells and promote recovery after AKI.

Chronic kidney disease / renal fibrosis

A recent study by Muralidharan et al. characterized the circulating and urinary miRNA pattern associated with reduced glomerular filtration rate (GFR) [36]. Expression of 384 urinary and 266 circulatory miRNAs, such as let-7a, miR-130, miR-1825, miR-1281 and miR-423 were significantly different between patients with estimated GFR ≥ 30 versus < 30 ml/min/1.73 m2, which is resembled and confirmed by albumin/TGF-beta1 treated mice and TGF-beta1 exposed proximal tubular cells. These fibrosis-associated miRNA may have diagnosis and prognosis utility in chronic kidney disease (CKD). However, the authors did not show the existing forms of these miRNAs in circulation or urine.

Ichii et al. found high levels of miR-146a in urine of B6.MRL-1 mice developing CKD. However, miR-146a mainly existed in urine sediments rather than supernatants [37].

Neal et al. measured levels of miRNAs in patients of different stages of CKD including those undergoing maintenance haemodialysis [38]. They found that some miRNAs in circulation were reduced in patients with severe CKD when compared to those with normal renal function or mild renal impairment and suggested using circulating miRNA as biomarkers for CKD.

Circulating EVs, mostly from endothelial cells, platelets and neutrophils have been associated with pathophysiological changes and complications of CKD, such as endothelial dysfunction [39], cardiac and vascular disorders [40,41,42,43,44], coagulation abnormalities [45] and anemia [45, 46]. However, the compositions of EVs remain largely unknown.

Upregulation of miR-144 in circulating EVs by erythropoietin markedly relieved the disruption of tubular basement membrane, whose integrity is critical against renal fibrosis [47].

TGF-beta1 mRNA was secreted by injured tubular epithelial cells and transported to interstitial fibroblasts through exosomes, which initiate regeneration response against hypoxia [48].

In obstructive renal fibrosis model, secreted miR-21 from injured tubular epithelial cells promote tubular phenotype transition [49]. In the same model, miR-34a was secreted by interstitial fibroblast and transported via microvesicles toward tubular cells, where it induced cell apoptosis and tubular atrophy [50].

The exRNAs-mediated homogeneous and heterogeneous cell-to-cell communication may explain the continuous progression of tubulointerstitial fibrosis regardless of what the original cause is and whether the cause persists.

Future studies need to elucidate the direct evidence concerning the transfer of exRNA-containing EVs in vivo.

Polycystic kidney disease

Polycystic kidney disease (PKD) is a hereditary disorder in which abnormal cysts develop and grow in kidney. There are two types of PKD, the most common autosomal dominant polycystic kidney disease (ADPKD) and relatively rare autosomal recessive polycystic kidney disease (ARPKD). Ben-Dov et al. found that urine exosomal miR-1 and miR-133 were less abundant in ADPKD patients [51]. Aberrantly expressed miRNAs in cystic kidneys regulate key aspects of cyst pathogenesis such as cyst epithelial cell proliferation and apoptosis as well as dosage of the various cystic kidney disease genes [52]. However, whether these secreted miRNAs are involved in the pathogenesis of ADPKD remain unknown.

Diabetic kidney disease

Wang et al. determined the urinary mRNA levels of extracellular matrix and ELR-CXC chemokine ligand in patients with diabetic nephropathy [53]. Compared with healthy controls, decreased mRNA levels of CXCL10 and CXCL11 and increased mRNA levels of collagen IA1 chain and fibronectin were found in urine of diabetic nephropathy. However, urinary CXCL9 mRNA level was associated with both baseline estimated GFR and the rate of GFR decline, which may be used for risk stratification of diabetic nephropathy.

MiRNA content in urinary exosome is altered in patients of type 1 diabetic with early diabetic kidney disease (DKD) [54]. Urinary exosomes derived from diabetic patients with microalbuminuria have enriched miR-130 and miR-145 and reduced miR-155 and miR-424. In streptozosin (STZ) induced animal model of diabetes, urinary miR-145 was also increased in incipient diabetic nephropathy, while overexpression of miR-145 was observed in glomerular mesangial cells.

In type 2 diabetic patients, urinary exosomal miRNA content is markedly varied in patients with versus without DKD [55, 56]. However, different study groups identified different miRNAs, which might be explained by limited patient number and different detection methods.

These urinary exosomal miRNAs may serve as potential biomarkers of DKD.

Lupus nephritis

Sole et al. showed that miR-29c levels in urine exosomes not in urinary pellet had a negative strong correlation with the histological fibrosis index and glomerular sclerosis in patients with lupus nephritis (LN), suggesting it may be a non-invasive marker [57].

In patients and B6.MRLc1 mice with lupus nephritis, Ichii et al. identified higher level of urinary exosomal miR-26a compared with healthy control [58]. The levels of miR-26a in exosomes were positively correlated with urinary protein excretion levels, which may provide a convenient biomarker of lupus nephritis.

Urinary tumor

Circulating miRNA levels were distinctly increased in renal cell carcinoma (RCC) patients [59]. Only small numbers of miRNAs had tumor-specific origins suggested that multiple factors affected tumor environment. Among 36 up-regulated miRNAs in RCC patients’ serum, the authors identified miR-1233 as a potential biomarker for RCC. In another study, lower level of plasma miR-508-3p was observed in RCC patients [60].

Hanke et al. demonstrated that the RNA ratio of miR-126 / miR-152 enabled the detection of urothelial bladder cancer from urine [61].

Kidney transplantation

Differentiation of stable transplant patients with transplant patients with acute rejection is difficult. Lorenzen et al. compared urinary miRNA profiles and identified three markedly dysregulated miRNAs in urine of patients with acute rejection [62]. Among them, the authors found that only urinary miR-210 could be used for differential diagnosis between transplant patients with acute rejection and stable transplant patients with urinary tract infection or transplant patients before or after rejection, suggesting miR-210 as a biomarker for acute kidney rejection.

Peake et al. found the selectivity of mRNA packaging in urine exosomes [63]. After renal transplantation, protein levels of IL-18 and neutrophil gelatinase-associated lipocalin (NGAL) in urine but not mRNA levels of IL-18, NGAL and cystatin C in urine exosomes reflected the day 7 creatinine reduction ratio (CRR). KIM-1 mRNA remained undetectable in exosome though urinary KIM-1 increased after transplantation. Exosomal mRNA for IL-18, NGAL and cystatin C was detectable in all CKD patients, but only IL-18 mRNA was increased. Similar as in transplantation, exosomal NGAL mRNA was unchanged in CKD.

Comparison of isolation and detection technique of exRNAs

Despite the great interest in revealing the role of exRNA in progression of renal diseases and using them as biomarkers, there is no unified methodology for exRNA isolation and detection.

Using density gradient ultracentrifugation could isolate both EVs and HDL particles [64]. Rotor type and centrifugation time also influence the yield and purity of EVs [65]. Cvjetkovic et al. concluded that centrifugation settings should be modified according to different rotors and calculate based on k-factor to pellet particles equally. The regular 70-min-centrifugation time seemed insufficient for isolation of exosomes. Extending the centrifugation time achieved higher vesicle yields. However, centrifugation time beyond 4 h was not recommended to avoid the contamination of soluble proteins.

Li et al. compared seven exRNA isolation kits. Although all these kits received ≥50% recovery of synthetic RNAs input, mercury-biofluids kit displayed biases in the length of the isolated RNAs. ExRNA yields from plasma differed widely when using different kits, however, contamination of lysis buffer in RNAdvance and MagMAX kits may partly result in the high reading. All kits had different degrees of DNA contaminant. Moreover, differences in RT-PCR amplification may due to the presence of RT-PCR inhibitors in some exRNA samples. Most critically, amplification bias for a particular RNA species seemed inevitable when purifying exRNA samples with the majority of kits, such as mRNA-dominant amplification from the Quick-RNA sample and miRNA-exclusive amplification from the DirectZol exRNA sample [66].

MiRNAs in biofluids are the most widely used exRNAs in clinical diagnosis and prognosis. Tanriverdi et al. compared four methodologies for miRNA detection from plasma [67]. They identified the best performed in-House RNA isolation Kit. Meanwhile, on high-throughput BioMark platform, the reproducibility of the miScript miRNA Assay technology performed superior to that of the TaqMan miRNA Assay technology.

Recently, the performance of various methods and kits for isolating circulating exRNAs were compared by Guo et al. Among the five different isolation kits, the Circulating Nucleic Acid Kit had the greatest isolation variability but for only miRNA class. Ambion TRIzol generated the largest number of reads mapped to the genome [68].

For EVs isolation, Royo et al. compared five different methods including three commercial kits from NORGEN, ThermoFisher and System Biosciences respectively, ultracentrifugation and a lectin-based purification (LEC), exploiting affinity for glycosylated proteins enriched on the surface of vesicles [69]. MiRNA profiling was possible after EV isolation because urine miRNAs were enriched in urinary EVs. All methods have been equally successful in obtaining a miRNA profile from 10 mL of frozen-stored urine except for LEC.

Van Deun et al. compared and evaluated 4 exosome isolation protocols and found that OptiPrep density gradient centrifugation outperformed ultracentrifugation and ExoQuick and Total Exosome Isolation precipitation. As for purity, it got the highest yield of nanovesicles with exosomal marker proteins such as CD63 and with less contamination of argonaute 2 [70].

Crossland et al. compared precipitation reagents, RNA isolation kits and ultracentrifugation in EV isolation and RNA extraction from serum or urine samples [71]. For serum EV recovery, the Life Technologies precipitation reagent was superior to SBI reagent. For urine EV isolation, the NB Urine Exosome RNA Isolation Kit improved the results compared to ultracentrifugation. For serum EV RNA concentration, the Qiagen miRNeasy™ RNA isolation kit was most suitable than any other kits.

Robust qRT-PCR analysis of miRNA levels in EVs is controversial, as the absence of cellular endogenous controls. Crossland et al. further evaluated suitable endogenous normalization controls for qRT-PCR analysis. Among the 8 candidates, small RNAs HY3 and RUN48 were selected as optimal controls for urine studies, while HY3 and U6 were identified as suitable for serum extracellular miRNA expression assessments [71].

Summary

In this review, we summarized that exRNAs have functional, diagnostic and therapeutic roles in renal diseases (Table 1). However, key challenges remain. Despite well described in vitro, it is difficult to prove the functional significance of exRNA in vivo. Isolation and detection techniques need improvement. A systematic analysis and comparison of exRNAs in bodily fluids of healthy individuals and patients along with a better understanding of regulation of exRNA secretion, carriers of exRNAs, mechanism of targeting and effector function in target cells will generate opportunities to insight into the pathophysiology of kidney injury and identify novel strategies for diagnosis, prognosis and treatment of renal diseases.

Table 1 Overview of exRNA detection in renal diseases

Abbreviations

2-DG:

2-deoxyglucose

ADPKD:

Autosomal dominant polycystic kidney disease

AKI:

Acute kidney injury

ARPKD:

Autosomal recessive polycystic kidney disease

ATF3:

Activating transcription factor 3

CKD:

Chronic kidney disease

CRR:

Creatinine reduction ratio

DKD:

Diabetic kid ney disease

EVs:

Extracellular vesicles

exRNA:

Extracellular RNA

HDL:

High density lipoprotein

I/R:

Ischemia/reperfusion

IGF-1R:

Insulin growth factor-1 receptor

LEC:

Lectin-based purification

LN:

Lupus nephritis

lncRNA:

Long non-coding RNA

miR:

MicroRNA

miRNA:

MicroRNA

mRNA:

Messenger RNA

MSCs:

Mesenchymal stem cells

MVBs:

Multivesicular bodies

NGAL:

Neutrophil gelatinase-associated lipocalin

NPM1:

Nucleophosmin 1

piRNAs:

Piwi-interacting RNA

PKD:

Polycystic kidney disease

PTECs:

Proximal tubular epithelial cells

RCC:

Renal cell carcinoma

siRNA:

Small interfering RNA

snoRNA:

Small nucleolar RNA

STZ:

Streptozosin

tRNA:

Transfer RNA

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This work was supported by Key Program of National Natural Science Foundation of China 81530022, General Program of National Natural Science Foundation of China 81873618, 81470971 and National Natural Science Foundation for Young Scholars of China 81600526.

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YZ was a major contributor in writing the manuscript. JY contributed in writing and revising the manuscript. All authors read and approved the final manuscript.

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Correspondence to Junwei Yang.

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Zhou, Y., Yang, J. Extracellular RNA in renal diseases. ExRNA 1, 5 (2019). https://doi.org/10.1186/s41544-018-0001-x

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