Abstract
Exosomes are involved in a wide variety of biochemical processes in human body homeostasis. Exosomes also provide important information regarding communications among several organ systems. Additionally, they can serve as molecular vehicles to deliver drugs. Therefore, exosomes have received wide attention in current biomedical research for unraveling pathogenic mechanisms of diseases, searching for novel biomarkers, and discovering new drugs. This paper reviews and discusses the significance of urinary exosomes for a better understanding of human disease pathophysiology and their potential use as therapeutic targets. Isolation methods of exosomes and the latest technological advances are also discussed. Furthermore, novel urinary exosomal biomarkers are highlighted with special emphasis on their clinical applicability (particularly sensitivity, specificity, reliability, and other aspects). Finally, future trends for this field are analyzed and our perspectives are provided.
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Introduction
All human cells can release exosomes, which are derived from plasma membrane–multivesicular body fusions. Exosomes are found in body fluids and tissues and are involved in metabolic processes, cell waste disposal, protein and nucleic acid exchange, coagulation, and immune function [1,2,3,4]. Exosomes secreted by cells are granular substances with a diameter of 50–150 nm. Their surface contains lipids and proteins derived from cell membranes, while their inside contains intracellular substances, such as nucleic acids (e.g., microRNA, messenger RNA, DNA) and proteins. Exosomes are considered to be a type of extracellular vesicle. Extracellular vesicles have microvesicles and apoptotic bodies in addition to exosomes, which have different production mechanisms and sizes.
Exosomes are generated from multivesicular bodies (or endosomes), which are endosomal organelles taken up by cells through endocytosis (a mechanism by which cells take up extracellular substances), followed by fusion with the cellular plasma membrane and secretion into the extracellular space. It is believed that the surface of exosomes contains cell membrane components and that the inside contains intracellular substances, all of which reflect the characteristics of the original cells that secreted the exosomes [1,2,3,4]. Exosomes secreted by cells exist not only in the extracellular space but also in body fluids (e.g., blood, spinal fluid, urine) in which they circulate throughout the body.
Exosome research is an emerging field that explores the role of exosome DNA, RNA, and proteins in cellular pathways and the communication and/or signaling events between human body systems. Information on exosome DNA, RNA, and proteins may yield insights into underlying disease states [5,6,7,8,9,10].
Several proteins are commonly found in exosomes. Membrane proteins such as tetraspanins (e.g., CD9, CD63, CD81), integrins, major histocompatibility complex (MHC) molecules located at the surface, and proteins related to multispore formation (Tsg101, Alix) often occur in exosomes [11]. Heat shock proteins (HSPs) are another protein family that is frequently observed in exosomes. Attempts are being made to collect exosomes using proteins on the surface, such as CD9.
An important function of exosomes is their ability to transmit information between cells. It has been reported that secreted cell nucleic acids (microRNA, messenger RNA) are transmitted to recipient cells via exosomes and that they are functional in the recipient cells [12]. Secreted exosomes act on receptors on the surface of the recipient cells to cause signal transduction, and so the contents of exosomes previously taken up are thought to have a functional impact in the recipient cell.
Furthermore, it was verified that exosomes profile is altered in several disease situations. Recently, an interesting report demonstrated that exosomes released from highly malignant cancer cells can reprogram other cells in the neighborhood making them equally malignant [13]. In relation to "cancer," exosomes they are involved in such processes as cancer cell survival, malignant transformation, and metastasis and thus function to favor cancer cells. Exosomes secreted by cancer cells modulate the extracellular matrix increasing the survival of tumor cells, namely by suppressing the action of the immune system and acting as proangiogenic [14]. Therefore, exosome research is crucial for understanding metastasis in different cancer cells [15].
Metastasis suggests that cancer spreads from where it originated to a certain area of the body. It is also known as Metastasis, advanced, or stage 4 cancer. Large cancer even when not spread to other areas of the body may also be called advanced cancer. When cancerous cells break free from the main tumor entering the blood circulation and lymphatic system, metastasis occurs. Fluids are transported across the body and as they settle and expand in distant areas of the body, the cancer cells will migrate far from the initial tumor and develop new tumors. Cancer cells coming from the main tumor may result in metastases as well (for example in abdomen cavity cancer in one organ can transmit this way to the adjacent organ—liver, lungs, etc.) [16].
In addition, a relationship between exosomes and diseases other than cancer, such as neurodegenerative diseases (e.g., Alzheimer's disease), has been reported [17].
As already mentioned, given that exosomes reflect the characteristics of the cells that secrete them, they can be particularly useful for diagnostic purposes. Its detection and characterization in body fluids as diagnostic markers is particularly promising [5,6,7,8,9,10].
Exosomes have therapeutic potential owing to their roles in the pathogenic mechanisms of diseases. The biogenesis pathways of exosomes provide clues for selectively blocking these pathways and for inhibiting the production, release, and uptake of exosomes to control disease progression [18]. On the other hand, exosomes may be utilized as transport agents or carriers to deliver nucleic acids and/or drugs instead of the traditional polymer-based nanocarriers, which suffer from limitations such as cytotoxicity, multidrug resistance of cancer cells [19], and unintended preferential drug accumulation in the spleen and the liver [20]. Exosomes carry significant advantages in terms of lower toxicity, reduced drug resistance, and the capability to deliver drugs to the brain across the blood–brain barrier (BBB) [21, 22].
Significance of urinary exosomes
Urinary exosomes in disease research
Researchers are more and more interested in urinary exosomes and their relationship with kidney physiology and diseases. Exosomes have the ability to transport their cargo between kidney cells and change the function of the proteome and recipient cells. They can represent the intercellular signaling mechanism along the nephron. In animal and human biomarker discovery studies, this proteome changes to reflect the underlying pathophysiology of certain kidney diseases. However, there are still major challenges, especially the optimization of current methods. Using urinary exosomes as diagnostic biomarkers is a non-invasive alternative to tissue biopsy [23]. Urinary exosomes, which reflect the average changes in many organ systems, is a particularly interesting because of its availability, ease of sample collection, and non-invasive nature of the collection procedure. The non-invasive nature when combined with the diagnostic and prognostic sensitivity of exosomes, offers a cost-effective opportunity for discovering disease mechanisms and therapeutic targets.
Non-invasive biomarkers have several advantages over invasive ones as they have a greater probability of being adopted by clinicians and patients. Urinary markers are cost-effective and easily distributable and, hence, accessible for clinical use. They provide potential evidence-based targets in the early diagnosis of at-risk groups and those who have clinically significant symptoms [24]. The availability of urine proteins and peptides for laboratory exploration of proximal, distant, and systemic diseases [25] are some other important aspects as well [26].
There is increasing evidence that exosomes play a role in cardiovascular and renal physiology. Mineralocorticoid hypertension can benefit from the discovery of effective biomarkers. Exosomes mainly transport RNA and proteins, which may reflect biological events in the kidney. The information transmitted by exosomes may help diagnose different subtypes of arterial hypertension, and allow more appropriate treatments and improve the patient’s quality of life. Further research is needed to determine the potential benefits of exosomes in hypertension.
Urinary exosomes can also directly reflect the pathogenic events of the kidney and of other urinary system structures [27, 28]. Therefore, research on urinary exosomes has gained wide attention over the past decade. Compared with conventional urinary and circulating biomarkers, exosomes carry and are rich in specific biomarker molecules, especially receptors, proteins, genetic material (such as DNA, mRNA, and miRNA), and lipids. Urine and blood circulation are much more abundant. Therefore, exosome markers provide advantages for the discovery of biomarkers in specific diseases, which involve abnormalities of such molecules carried by exosomes. Because these biomarker molecules are transported inside the exosome cargo, they are more stable in biological fluids than other free-flowing molecules. Moreover, being an essential source of non-invasive biomarkers, exosomes also have therapeutic potential [29,30,31].
Urinary exosomes have been utilized in the discovery of biomarkers of genitourinary and renal origin. Urinary exosome proteins have been widely explored for diseases of the urinary tract, acute kidney injury, chronic kidney disease, diabetic nephropathy (DN), renal cell carcinoma (RCC), prostate cancer, and bladder cancer [32]. Moreover, urinary exosomal RNAs have significant diagnostic capabilities in many kidney diseases, especially renal fibrosis [33]. A critical analysis of these insights is presented in the sections below.
Proximity disease research with urinary exosomes
Urinary exosomes play significant roles in the pathogenesis of diseases and serve as potential pharmaceutical targets. This section discusses key aspects of exosome-mediated biochemical cascades in the development of proximity diseases.
Exosomes have the ability to cross the blood–brain barrier. The liquid biopsy required to analyze biomarkers in blood or urine is minimally invasive. Exosomes can be used as a delivery system for disease biomarkers and therapy [34]. Cancer has always been the subject of exosome research. Exosomes, their content and surface proteins can allow early detection of cancer, which can improve prognosis and survival. According to the research of Chen et al. it is not necessary to enrich the protein to become a useful marker [35]. Compared with healthy controls, the number of HSP90, VTN. and MAPK1 in colorectal cancer patients decreased. It has been suggested that the presence of CD24, EDIL3 and fibronectin in circulating exosomes is a case of early breast cancer [36].
Urinary exosomes have a significant role in the early detection of proximity diseases of renal origin. For instance, exosomal miRNAs (miR-21, miR-29c, and miR-150) serve as potential biomarkers for predicting disease progression in lupus nephritis (LN) [37]. Urine-derived exosomes have also been shown to indicate several associations in the pathogenic mechanisms of genitourinary diseases. A study by Zaporozhchenko et al. (2018) indicated that urinary microvesicles and proteins in prostatic cancer patients participate in signaling associated with disease development [38].
Few studies have evaluated the role of urine exosomes in monitoring the effects of drug treatment. In patients with predominantly hypertension, the decrease in blood pressure induced by hydrochlorothiazide is related to the content of Na-Cl cotransporter in urine exosomes. Further research is needed to study its effect. Urinary exosomes are used as a monitoring tool for drug therapy [39, 40].
Urinary exosomes can be used as drug delivery system as well. Compared with other nanoparticle-based drug delivery systems (such as liposomes and polymer nanoparticles), exosomes have important advantages. Different cell sources of exosomes have been studied because the parental cells have been shown to affect their biological activity and subsequent therapeutic effects [40]. Zhuang et al. reported that exosomes effectively transport curcumin to the brain to treat diseases related to neuro-inflammation without side effects [41]. Endogenous loading technology uses biological cell devices to classify and package molecules into exosomes during biogenesis [42].
Although most researchers realize that the role of urinary exosomes is multifaceted, with their ability to contribute to diagnostic, prognostic, and therapeutic insights into disease pathogenesis, there is less evidence available on the validity of in vitro findings. In the future, more rigorous scientific studies are required to explore the heterogeneity in exosomes and to discover their roles in the mechanisms underlying the development of renal diseases [43].
Methods for the isolation of exosomes
Exosomes are secreted by cells into the extracellular space after the cell membrane fuses with multivesicular bodies (MVBs). They belong to the class of extracellular vesicles (EVs), measuring 30–140 nm. However, they are found in the extracellular space mixed with ectosomes (measuring 30–100 nm) and apoptotic bodies (measuring 50–500 nm). EVs differ in terms of biogenesis, and therefore, their functions and cargo (proteomic and genetic material) are different. This makes the content of exosomes specific to the cell from which they originated, and exosomes enable signal transmission among cells with or without direct contact [2, 21, 44,45,46]. Biological fluids contain chylomicrons, lipoproteins, and microvesicles that have similar size ranges to those of exosomes [47]. Commonly used methods for exosomal isolation include conventional techniques (ultracentrifugation, ultrafiltration, size-exclusion chromatography, polymer-based precipitation, and immunoaffinity) and recently developed microfluidics-based methods [21] (see also Table 1).
Conventional methods purify exosomes based on their density, function, or size. Density-based isolation is typically performed by ultracentrifugation, which takes advantage of density differences between the medium and its constituent bioparticles or among bioparticles. On the other hand, ultrafiltration and size-exclusion chromatography take advantage of size differences among bioparticles to isolate exosomes. Polymer precipitation and immunoaffinity are based primarily on the chemical and surface properties of exosomes [21]. Immunologically based separation exploits exosomal function by using surface proteins that can interact with antibodies. In the precipitation method, volume-excluding polymers separate the molecular constituents of biological fluids. Although effective, conventional methods have some limitations in terms of unsatisfactory separation, low efficiency, low recovery yield, and the absence of high-resolution visualization techniques [21].
Microfluidics is a novel isolation method that is considerably superior to conventional approaches by its higher sensitivity, enhanced convenience, higher speed, and lower sample requirement. It utilizes micron-sized channels to process microliter to picoliter volumes of fluids. Microfluidic platforms can isolate extremely pure exosomes with a high level of sensitivity at a low cost. They also require less time and use a modest quantity of reagents [21]. Based on the basic principles of microfluidics, many related methods have been developed to purify exosomes in recent years. A combination of centrifugal nanoparticle extraction and microfluidics can be used to generate the Coriolis force and centrifugal effect, hydrodynamic drag, and buoyancy in microchannels. The other option is to apply acoustics for isolation using either surface acoustic wave (SAW) or bulk acoustic wave (BAW) technology. However, making precise alignments involves a long fabrication process. Filtration combined with microfluidics is characterized by the use of nanoporous membranes, nanoarrays, and nanofibers for particle separation. Alternatively, inertial lift may be utilized to move particles laterally within microchannels by taking advantage of the differences in velocity and flow rate between the particles and the fluid. Viscoelastic microfluidics is a method that exerts elastic lift forces through a viscoelastic medium to separate biofluid particles [21].
After isolation, the characterization of exosomes in a heterogeneous isolate can be accomplished by imaging using electron microscopy (based on exosomal morphology) or fluorescence microscopy (by labeling the exosomal markers); nanoparticle tracking analysis (NTA) that determines particle size; and/or molecular profiling using genomics (RT-qPCR), proteomics (2DGE, LC–MS/MS), and lipidomics (MS, GC–MS) techniques [21].
Cheng et al. (2019) discussed rinsing separation as a potential exosomal isolation method and compared it with existing methods, demonstrating marked advantages over formerly used techniques [48]. They indicated that rinsing separation has superior performance in the context of protein analysis as the process they executed achieved lower contamination from non-exosome proteins. It also achieved higher efficiency than ultracentrifugation in terms of costs and time. Western blot analysis revealed that certain types of exosomal markers (CD63, TSG101, and CD9) were more enriched when rinsing separation was applied. Rinsing helps exosomes form independent units and also preserves cell morphology and tissue structure through the 2.5% glutaraldehyde pre-fixation. This was a clear advantage over ultracentrifugation as it eliminated the additional centrifugation steps that lead to exosomal damage and loss. However, researchers have recommended more in-depth studies to evaluate its suitability in various cell types and efficacy using various parameters [49].
To address the problem of tracing the exact origin of exosomes for biomarker screening, researchers have suggested a modified version of ultracentrifugation to isolate exosomes based on their densities. Exosomes were isolated from urinary samples and verified by Western blotting and transmission electron microscopy (TEM), capillary zone electrophoresis (CZE), and two-dimensional electrophoresis (2DE). With these techniques, several types of differences among exosomes in terms of their morphological characteristics, retention times, proteomic profiles, particle weights, and electrification properties could be demonstrated [50].
Last, nanotechnology is a recent technique for the analysis of exosomes and has high specificity and sensitivity. It is relatively faster, requires a smaller sample amount, and costs. The electric field-induced release and measurement (EFIRM) technique is also worth being mentioned in this context, as it is capable of detecting minute quantities of RNA and ctDNA [49].
Ultracentrifugation has been the gold standard for exosome isolation from urine samples. It is accepted as the primary method of exosome isolation. Differential ultracentrifugation is the most widely employed process even though it has some drawbacks, including high processing time, poor yield due to low exosome integrity, and chances of contaminant proteins. However, the recent developments in ultracentrifugation strategies offer an efficient and reproducible approach to separate exosomes for different starting materials [51]. Depending on the source of the biological samples, each protocol needs to be optimized to achieve a high yield of exosomes with minimal impurities. Downstream analysis of exosomes typically involves some combination of size characterization, surface marker and protein analysis, and characterization of nucleic acid content. Transmission electron microscopy (TEM), scanning electron microscopy (SEM), and atomic force microscopy (AFM) have been widely used to directly observe the morphology of individual exosomes, but it is difficult to quantify exosomal size distributions and concentrations using these techniques [52, 53].
Exosomal biomarker identification for clinical applications
Exosomal biomarkers have been identified for several acute, chronic, and systemic diseases, as discussed in the sections below (Table 2).
Biomarkers from urinary exosomes
Acute kidney injury (AKI)
The major causes of AKI in decompensated liver cirrhosis are hemodynamic derangement (70%) and acute tubular necrosis (30%) [32]. To address the adverse effects of AKI in decompensated liver cirrhosis, Awdishu et al. (2019) [54] tried to find a better biomarker than serum creatine to diagnose kidney injury. Since serum creatinine does not serve as a viable clinical marker because of muscle wasting, decreased liver production, increased volume distribution, and protein-calorie malnutrition, its increase is inadequate for making a timely and accurate diagnosis. In this context, kidney injury molecule-1 (KIM-1), tissue inhibitor of metalloproteinase-2 (TIMP-2), and neutrophil gelatinase-associated lipocalin (NGAL) are AKI-related markers that have been discovered previously [54].
To find additional or better biomarkers for the diagnosis of AKI, one study has attempted to employ proteomic analysis of urinary exosomes using SDS-PAGE followed by LC/MS–MS [48]. In silico analysis of the 1572 proteins discovered using the SEQUEST search engine and statistical analysis to calculate abundance scores revealed that maltase-glucoamylase (MGAM) was the dominant marker in this study. Although this was a significant descriptive study, the sample size was small, and the data lacked robustness. Moreover, exosomal protein trypsinization would have yielded more proteins from the process. The significance of this biomarker is its ability to support the diagnosis of proximal tubular injury. However, its clinical applicability requires validation in larger sample sizes and confirmation through further research trials [55].
Further, Sonoda et al. (2019) found that miRNAs from exosomes could serve as biomarkers for AKI progression [56]. They also hypothesized that exosomal miRNAs related to renal injury (particularly ischemic reperfusion injury) could reflect the state of the kidney. They demonstrated that the release of exosomal miRNAs into urine is dependent on their regulated sorting. Exosomal miRNAs involved in injury were linked to the renal medulla, and those that were involved in recovery had TGF-β-specific target mRNAs. The same mechanism (the release of exosomes) may be responsible for the level of miRNAs in cells. Therefore, their findings were extremely helpful in detecting AKI progression to CKD with a non-invasive method [48].
Arterial hypertension (AHT)
In AHT, a complex interplay of environmental and genetic factors is involved in altering the biochemical pathways that affect the function of the cardiovascular system [57, 58]. In addition, the role of arterial vasoconstriction and sodium/water reabsorption is significant in the disease’s pathogenesis. AHT may lead to several complications, such as heart failure, end-stage renal disease (ESRD), stroke, and myocardial infarction. Primary aldosteronism coexists with AHT in 5–10% of patients, and the key hormone is a mineralocorticoid that alters sodium transport in the renal system to increase water uptake and blood volume. AHT can also induce endothelial dysfunction, oxidative stress, fibrosis, and inflammation [59,60,61]. In previous studies, mineralocorticoid function has been linked to aldosterone-related proteins, including GPER, RACK1, and small GTPase Rac1 [62,63,64,65]. However, there is little information on the role of exosomal GPER in mineralocorticoid-mediated AHT [4].
The sodium–water balance is maintained by several proteins of the renal system, including the sodium–hydrogen exchanger 3 (NHE3) of the renal proximal tubule, the Na–K–Cl cotransporter (NKCC2) of the ascending loop of Henle [66], the sodium chloride transporter (NCC), and the epithelial sodium channel (ENaC) of the distal nephron. Abnormalities in the function of ENaC manifest as Liddle syndrome, and the activity of WNK4-NCC presents as Gordon syndrome. Hypotension associated with Gitelman and Bartter syndromes results from alterations in the activity of NCC and NKCC2 proteins [4, 67]. Moreover, angiotensin II type I receptor (AT1R) and angiotensin II (Ang II) associated with the rennin–angiotensin–aldosterone system (RAAS) regulate blood pressure and are linked to exosomes. Ang II also plays a key role in end-stage organ damage as a result of inflammation [4]. About 45 miRNAs may be involved in AHT pathways, specifically those regulating the salt sensitivity of hypertension [68, 69].
Chronic kidney disease (CKD)
A recent study has investigated urinary exosomal biomarkers in patients with stage I, II, III, and IV CKD (classified based on glomerular filtration rate, or GFR) [63]. The study identified a total of 360 microRNAs, 116 antisense RNAs, 111 lincRNAs, 25 snoRNAs, and 4 snRNAs in urinary exosomes of all the samples investigated. Further, the analysis revealed different exosomal levels of ncRNAs in CKD (211 in stage I, 153 in stage II, 221 in stage III, and 117 in stage IV) as compared with healthy controls. The researchers concluded that the differential abundance of 27 ncRNAs (tRFS, mitochondrial tRNAs, and miRNAs) across CKD stages formed the basis for their use as biomarkers in CKD diagnosis [70]. The reduction in GFR in CKD is associated with increased morbidity and mortality and thus poses a significant challenge to healthcare systems [71]. Nevertheless, the contribution of miRNAs and mRNAs derived from tissue to the development of CKD and the upregulation of MiR‐21 can be observed in chronic renal disease patients with urinary exosomes and after glomerular injury [27, 72].
Preventing medial calcification in people with severe kidney disease involves preserving vascular smooth health of the muscle cells. Dusso et al. 2018 [73] found that vascular smooth muscle cells increase the production and release of exosomes in order to maintain viability during CKD-induced stress, but the ultimate effect is exacerbated pathological calcification. Chen et al. [74] claimed that microvesicles from calcified smooth vascular muscle cells convey procalcifying signals to normal smooth vascular cells. Dusso et al. 2018 [73] evaluated the key regulators of microvesicle/exosome biogenesis and secretion to help devise successful strategies for disrupting the procalcifying cell-to-cell contacts.
Khurana et al. 2016 [72] developed a novel computational pipeline, called ncRNASeqScan, for the computational identification of RNA-seq data. With this pipeline, they identified 30 differentially expressed ncRNAs, obtained from urinary exosomes, as effective biomarkers for early diagnosis in CKD patients. Among these, miRNA-181a proved to be the most powerful and reliable potential biomarker, being significantly reduced in CKD patients’ exosomes by around 200 times relative to healthy controls. A CKD cell culture system revealed that the urinary exosomes may indeed come from epithelial cells of the renal proximal tubule [72].
Overexpression of MiR-26a in the muscle avoided muscle wasting caused by CKD and attenuated cardiomyopathy by exosome-mediated miR-26a transfer [75]. These findings indicate potential therapeutic approaches to treating CKD complications with the help of miR-26a exosome delivery [75].
Diabetic nephropathy (DN)
The traditional method of detecting DN is measuring urinary albumin and serum creatinine. miRNA biomarkers in urinary exosomes are perceived as a potential novel way of detecting DN during its early stages. Employing a profiling approach, researchers have identified the miRNAs miR-21-5p and miR-30b-5p as biomarkers for suboptimal renal function [76]. Specifically, miR-21-5p was upregulated and miR-30b-5p downregulated in urinary exosomes derived from patients with type 2 DN. They also showed a significant correlation of these urinary exosomal biomarkers with serum creatinine. However, more in-depth evidence is required to validate these novel exosomal markers in a larger sample size of patients with DN and in those with other types of renal diseases [77].
Sakurai et al. (2019) studied the physiological basis of podocyte loss during the onset and progression of DN [78]. They highlighted RII-Smad3 signaling and Elf3 induction in determining the kidney status (function) in diabetic patients. They also indicated that RII induction is an important aspect of DN and that Smad3 plays a significant role in podocyte injury caused by glomerular hypertrophy. Moreover, Elf3 is involved in phenotypic alterations of podocytes as a result of the activation of TGF-β signals [79], and a signature of urinary exosomal miRNAs in patients with type II diabetic nephropathy was established [80]. It has also been shown that let-7c-5p derived from urinary exosome is associated with both renal function and DN progression, indicating that this is a possible biomarker for DN [80].
Cancer
Exosomes derived from cancerous cells sustain cell proliferation through the activation of signaling pathways. Exosomes are also able to modify the microenvironment to promote cancer invasion and spread. They are known to activate fibroblasts in prostate and bladder cancer [81, 82]. Exosomes are also capable of inducing the angiogenesis process to enable the formation of vasculature for tumor proliferation [83]. In addition, they assist in metastasis at the site of distant organs and influence the immune system during disease development [21].
The recurrence rate of bladder cancer is high, and continuous surveillance of patients is a necessary protocol in clinical practice [84]. Bladder cancer can only be detected by cytoscopic examination of the bladder, an invasive technique. An alternative to this is the use of biomarkers that have wide clinical applicability [85]. However, their limitations make it impossible to implement them in practice: low specificity or sensitivity, release from benign cells leading to false-positive results, and high costs [86].
Protein markers specific to the pathogenesis of bladder cancer include tumor-associated calcium-signal transducer 2 (TACSTD2) [87], alpha 1-antitrypsin and the histone H2B1K [88], periostin [89], the cell line TCCSUP [90], the proteins GALNT1 and LASS2 [91], and IncRNA HOTAIR [92].
Traditional diagnostic methods of prostate cancer either cause adverse effects (as in prostate biopsy or digital rectal exam) or have low sensitivity and specificity (as in PCA3) [93, 94]. To find a better method of disease diagnosis, researchers precipitated PC urine samples through high-speed centrifugation and observed pellets using transmission electron microscopy. Further, they isolated nucleic acids and applied statistical methods to calculate specificity and sensitivity [95].
The extracellular vesicles found in urine were protasomes, exosomes, oncosomes, microvescicles, and estosomes [95]. A significant finding was the abundance of miRNAs in the exosomes, suggesting their function as transport agents for nucleic acids and their role as possible biomarkers [95].
Several marker panels for prostate cancer have been proposed: delta-catenin, prostate-specific antigen (PSA) and prostate-specific membrane antigen (PSMA), oncofetal protein 5T4, the cell invasion proteins integrin alpha 3 and integrin beta 1 [96], PCA3 lncRNA, ERG mRNA [97], the tumor-suppressive protein CDH3 [98], the alternatively spliced AGR2 gene [99], and the lipid classes of diacylglycerol (DAG) and triacylglycerol (TAG) [100,101,102].
Rodriguez et al. (2017) [103] also studied five microRNAs and found that miR-501-3p and miR-196a-5p were potential biomarkers for prostate cancer. The performance of candidate markers was explored using next-generation sequencing (NGS) and polymerase chain reaction (PCR). These miRNAs were found to be downregulated in the exosomes of prostate cancer patients [103].
Yazarlou et al. (2018) [104] explored the role of long non-coding RNA in the pathogenesis of bladder cancer by isolating urine exosomes from transitional cell carcinoma samples and found five different lncRNAs for diagnostic or prognostic purposes: LINC00355, UCA1-201, UCA1-203, UCA1-202, and MALATI. The researchers highlighted several findings based on their experiment and evidence from previous studies: MALATI might be a mediator for bladder cancer; UCA1-203 and UCA1-201 may have different roles in cancer and must be explored further; and exosomal expression levels of LINC00355 and MALAT1 indicate that their regulation may be influenced by cigarette smoking or opium addiction. The data from the study had high sensitivity and specificity and provided evidence of a correlation between the different candidate markers. In particular, they proved that lncRNAs from exosomes are potential biomarkers for the diagnosis of cancer [104].
Investigating Xp11.2 translocation renal cell carcinoma (Xp11 tRCC), Kurahashi et al. (2018) indicated that miR-204-5p was upregulated in urine exosomes belonging to RCC samples of mouse models. The increased levels were found in pretumorigenic and tumor stages. The researchers also confirmed that tRCCs secrete exosomes with miR-204-5p and that miR-204-5p could serve as a biomarker for early disease detection [105].
Gu et al. [106] have studied the clinical significance of urine prostate exosomal proteins in the diagnosis of prostate cancer. PSA can be elevated in non-malignant diseases (such as prostatitis), leading to unnecessary prostate biopsies. Urine prostate exosomal protein (PSEP) is a promising biomarker of prostate inflammation. The presence of histopathological inflammation in prostate biopsies from 674 patients was assessed. Among them, 286 were diagnosed as PCa, and prostate inflammation was observed in 33.7% of the biopsies. The presence of histological inflammation was significantly associated with a lower risk of PCa (p < 0.001). The urine level of PSEP in PCa patients was significantly lower than that in the control group (p = 0.003) [106].
Understanding the molecular and cellular properties of exosomes provides advantages for liquid cancer biopsy diagnosis and its application in therapeutic drug delivery systems [107]. Studies have shown that genetic or molecular engineering of exosomes can improve target specificity and anti-cancer activity with less toxicity. Therefore, a better understanding of the biological properties of exosomes will contribute to their therapeutic potential as innovative drug delivery systems [108].
However, a successful clinical translation of exosome therapy depends not only on our understanding of the mechanisms of exosome treatment but also on our ability to isolate and design exosomes for therapeutic purposes [108, 109].
Xp11 tRCC is a rare sporadic pediatric renal cell carcinoma caused by a constitutively active TFE3 fusion protein. Tumors in Xp11 tRCC patients tend to recur and metastasize, partly because of the lack of early detection methods. Oike et al. [110] produced a transgenic Xp11 tRCC mouse model (Tg), with mice overexpressing the human PRCC-TFE3 fusion gene in renal tubular epithelial cells.
At 20 weeks of age, the kidneys of the mice had no histological abnormalities, but at 40 weeks of age, they showed the development of Xp11 tRCC and related morphological and histological changes. Compared with control mice, the 40-week-old Tg mice showing tRCC had significantly increased levels of microRNA (miR)-204-5p in urine exosomes. In the primary renal cell carcinoma cell lines established by two Tg mice, the expression of microRNA-204-5p also increased significantly [110].
All these cell lines secrete exosomes containing miR-204-5p. In particular, the researchers observed that 20 weeks before the occurrence of tRCC, the levels of miR-204-5p in the urinary exosomes of renal PRCC-TFE3 mice increased, and these levels were the same as those in the 40-week Tg mice, suggesting the occurrence of tRCC. Previously, the increase in miR-204-5p was found to follow the expression of the constitutively active TFE3 fusion protein in renal tubular epithelial cells [110]. Finally, the researchers confirmed that after overexpression of the PRCC-TFE3 fusion gene, the expression of miR-204-5p in non-cancerous human kidney cells increased significantly. These findings suggested that miR-204-5p in urinary exosomes may be a useful biomarker for the early diagnosis of Xp11 tRCC patients [110].
However, the problem is that clinical samples require more precise and standardized purification methods. Again, there are several biological activators in exosomes, and it is not easy to determine their main functional components. The basic mechanism or characterization of GC exosome biology has not been determined. Therefore, it is necessary to continue in-depth investigations [111]. With the help of cell-free urine, a model of five microRNAs was proposed by Fredsøe et al. [112]. There is an urgent need for improved biomarkers for the risk stratification of prostate cancer (PC). Fredsøe et al. [112] aimed to develop a novel model based on a minimally invasive sampling of blood and urine and a multimarker model for radical prostatectomy (RP) to predict biochemical recurrence (BCR) after radical prostatectomy. They initially measured the levels of 45 selected miRNAs by RT-qPCR in acellular urine samples rich in exosomes collected before PR of 215 PC patients [112]. They created a new logistic regression model (pCaP), which includes five urine miRNAs (miR-151a-5p, miR-204-5p, miR-222-3p, miR-23b-3p, and miR-331-3p) and serum prostate specific antigen (PSA). The model can significantly predict the BCR time in cohort 1 using univariate Cox regression analysis: the hazard ratio (HR) = 3.12 (p < 0.001). Then, using the same numerical dichotomy as in cohort 1, they tested and successfully verified the prognostic potential of pCaP in the other two cohorts [112]. There were 199 patients with RP (cohort 2, HR = 2.24, p = 0.002) and 205 patients (cohort 3, HR = 2.15, p = 0.004). After adjusting for pathological T staging, surgical margin status, and Gleason grading groups, PCaP is still an important predictor of RBC (p < 0.05 in Cox multivariate regression analysis, with HR values for cohorts 1, 2, and 3 of 2.72, 1.94, and 1.83, respectively) [112]. Further, in the three PC cohorts, the pCaP score was positively correlated with the established clinical risk stratification nomogram CAPRA. The results indicate that the minimally invasive pCaP model may be used to improve PC risk stratification and guide more personalized treatment decisions in the future [112].
Researchers have determined the importance of glycans as biomarkers for prostate cancer [113]. Because prostate cancer is a heterogeneous and multifocal disease, several biomarkers may be needed to guide clinical decision-making. Liquid-based biomarkers will be ideal, and attention is now turning to minimally invasive liquid biopsies, which can analyze tumor components in the patient's blood or urine [113]. An effective diagnosis using liquid biopsy will be required, and a recent high-level review discusses the combination of several analytes, including modifications to the transcriptome, epigenome, proteome, and tumor metabolome [113]. However, liquid biopsy analysis of genomics-based parameters may miss important aspects [114, 115]. Glycans have shown broad prospects as disease biomarkers, and data indicate that the integration of biomarkers into a multianalyte platform (including glycome modification) may improve glycoprotein stratification [114, 115]. Extensive glycan changes have been observed in prostate cancer, including changes in PSA glycosylation, increased central sialylation and fucosylation, O-GlcNacylation, the appearance of recessive and branched-chain N-glycans, and the modification of galectin and proteoglycans [113].
Amuran et al. [116] studied the relationship between urine protein and exosomal miRNA. The most significant difference in the diagnosis of British Columbia diabetic nephropathy was found by logistic regression analysis. The logistic regression model diagnosed bladder cancer (BC) with a sensitivity of 80% and a specificity of 88% (area under the curve [AUC] = 0.903) [116]. The same model distinguished low-risk (LR) patients from healthy controls (HC) with a sensitivity of 93% and a specificity of 97% (AUC = 0.976) [116]. In the early stage of LR patients, the panel was more sensitive and prompted for changes. Other studies using cultures clarified this idea. However, an expert team can prevent unnecessary cystoscopy, increase patient comfort, and reduce the financial burden of LR patients [116]. By using the same biomarkers, it is very advantageous to distinguish LR and BC patients from HC in terms of work, time, and cost [116]. Also, including miRNAs in the model that are not based on expression level but on the presence or absence of expression minimizes single errors, as this will eliminate the standardization and quantification steps. The sensitivity and specificity of the developed group are superior to those of urine cytology, ranging from 30 and 86% to 83% and 43% in various studies [116]. The sensitivity and specificity of the test panel became better than those of urine cytology when the same molecule was used to distinguish between BC and HC and LR, BC, and HC [116]. Although it is more sensitive and specific than FDA-approved urine biomarkers, the method still needs to be analyzed in a larger cohort. However, in terms of bladder cancer diagnosis, urine concentrations of exosomal miR-19b1-5p, 136-3p, and 139-5p and CRK APE1/Ref1, BLCA-4, and CRK are promising candidates [116].
Research on the human exosomal glycome is still in its early stages [117]. Comprehensive characterization of each sample is not only a methodological exercise but also requires a comprehensive characterization of the sample. Some confirmed results highlight the importance of structurally abnormal glycosylation in cancer and other diseases [118]. In a noteworthy study, it has been suggested that the position of fucosyl substitution and the position of sialic acid bonds are related to cancer cell proliferation, angiogenesis, and metastasis [119]. However, these potentially important structural changes may be the most important, and these structural changes can appear only as minor components in "bulk" glycan profiling studies [117]. When analyzing sera from different cohorts of ovarian cancer patients, some of us emphasized this observation. In these patients, 4-year-old glycans, which were previously overlooked, appear to be important [118]. An independent team of clinicians confirmed these findings. Similar considerations may apply to the detection and measurement of sulfate structures and glycan groups, which seem to be related to cancer [117]. Song et al. [119] conducted a thorough characterization of biological samples that is important for (a) covering major and minor components in complex samples and (b) promoting structural function based on structural similarities and differences in glycans (C). Once the visible glycans are determined, it may lead to simpler and more reliable analysis procedures for identifying important features for diagnosis and prediction (perhaps based on non-MS methods) [119].
Focal segmental glomerulosclerosis (FSGS)
Huang et al. (2016) studied focal segmental glomerulosclerosis (FSGS), a condition that plays a key role in the progression of end-stage renal disease (ESRD) [120]. FSGS patients do not respond to corticosteroids. In a renal biopsy, diagnosis and classification of FSGS are difficult because of sampling inadequacy and limitations in differentiating FSGS from minimal change disease (MCD) on account of limited glomerular findings. Evidence suggests the efficacy of miR-193a in urine exosomes in the adult population [121]. To explore the efficacy of this biomarker in children, researchers isolated the urine supernatant by ultracentrifugation and explored the samples using transmission electron microscopy. They quantified miRNA by quantitative real-time polymerase chain reaction (qRT-PCR) and analyzed it using statistical methods [122].
FSGS pathogenesis is related to injury to podocytes, which stabilize the structure and function of the glomerulus [123]. In their analysis, researchers found elevated levels of miR-193a in children. Although miR-193a could be a potential biomarker, limitations in their study included a small sample size, a limited age range, and the unavailability of follow-up data [122].
Kidney tissue and urinary exosomes from diabetic kidney disease patients displayed elevated ceruloplasmin (CP) levels, which can function as an effective biomarker [124].
Lupus nephritis (LN)
Sole et al. (2015) [125] used urinary exosome samples to test whether miR-29c, a microRNA, could be effective in detecting renal fibrosis during its early stages in lupus nephritis (LN) patients. They observed a 2.75-fold decrease in miR-29c in LN and non-lupus CKD patients. The marker was negatively correlated with renal chronicity but showed no correlation with tubular atrophy, interstitial fibrosis, and fibrous crescents. It also did not correlate with clinical indicators of disease damage, including proteinuria, BUN, and creatinine levels. Further, the expression of MMP2 and Smad3 was upregulated in LN patients and correlated positively with chronicity and indirectly indicated a negative correlation with miR-29c [37]. The study was limited in terms of its small sample size and the absence of comparative evaluation through kidney biopsies to validate the results. However, miR-29c could serve as a non-invasive marker to predict “histological fibrosis” in the early stages of LN [125].
It is extremely relevant to detect fibrosis early on in the treatment of LN [37]. The characterization of urinary exosomal miRNAs can be used as a possible multimarker phenotyping tool for detecting early fibrosis. In vitro studies indicate that through the effect of profibrotic molecules on SP1 and Smad3/TGFβ pathways, these miRNA combinations facilitate renal fibrosis. A multimarker urinary exosomal panel consisting of miR-21, miR-150, and miR-29c offers a non-invasive tool for detecting early renal fibrosis and predicting disease progression in LN [37]. In patients with LN, the exosome S2D:5 targets renal tubular epithelial cells that transmit inflammatory Epstein–Barr virus-encoded small RNA (eber1) [126, 127].
Several miRNAs associated with disease activity and fibrosis development have been identified in data on exosomal-derived urinary miRNAs, but prognostic studies are missing. HIF1A was described as a possible common target [128], and low protein levels in non-responder renal biopsies were observed. HIF1A inhibition decreased mesangial proliferation, as well as endothelial cell development of IL-8, CCL2, CCL3, CXCL1, and IL-6/VCAM-1. Urinary exosomal miR-135b-5p, miR-107, and miR-31 are potential novel markers for clinical outcomes that control HIF1A inhibition of LN renal recovery [128].
Summary and future perspectives
As discussed above, several lines of evidence have demonstrated the relevance of exosomes in understanding the pathophysiology of diseases and the discovery of therapeutic targets. Exosomes are relevant in these areas because of the presence of certain common heat shock proteins, tetraspanins, fusion proteins, membrane transport proteins, lipids, and proteins related to biogenesis within the exosomal cargo. They also serve as an ideal source for biomarker discovery and can assist in drug delivery owing to their ability to cross the blood–brain barrier [129]. Investigation of complex diseases, such as diabetes and cancer, is made more feasible through exosomal research [21]. Moreover, exosomes have the potential to be used in diagnostic procedures with a high level of specificity and sensitivity, assisting in realizing the goals of personalized medicine [23].
However, exosomal research has currently some limitations. For example, the presently available methods for isolation of exosomes may not offer the ideal purity and efficacy that would be expected. Different exosomes may also possess widely different properties, and delivering cargo may require in-depth studies. Moreover, mass production of exosomes is not possible as the required level of standardization in isolation has not been achieved and characterization techniques with high reliability and efficiency are not yet available [21].
Although urinary exosomal markers may have a great potential for wide applications in local, remote, or systemic diseases, it is important to understand and resolve the effects of confounders that may affect the result of the analysis. These confounders may arise at several stages, including sample collection, transportation, storage, and dilution. Additional confounding factors include specific gravity, osmolality, urinary creatinine, and conductivity [86]. Therefore, normalization methods should be investigated to strengthen data analysis and interpretation to obtain more precise results.
Besides, most markers based on urinary exosomes have not been incorporated into mainstream clinical practice owing to the inherent differences in performance, low reliability, and high costs. Other limitations exist in terms of a lack of standardization and time-consuming isolation procedures. In the future, high-throughput approaches that can account for biases and that can offer the required sensitivity, reliability, and specificity will be able to cater to the unmet needs of efficient diagnostic procedures in clinical practice [86].
The solution based on microfluidic technology may be a promising strategy to solve these issues, which combines many separation and detection functions, which can be used for the separation, detection, isolation, and analysis of exosomes. Microfluidic strategy can also give emphasis on clinical application and points of care. These new features are expected to promote basic research and pave the way for routine personalized medicine through exosome-based liquid biopsy in cancer diagnostics [130]. Thus, exosomes identified in different biological fluids can be used as potential biomarkers for early detection of cancer. However, due to the lack of reliable strategies for its isolation and detection, clinical translation of exosomes is still difficult [131]. Although a single microfluidic platform shows unique characteristics with widely varied performance, the precise exosome capture with antibodies immobilized on a solid surface illustrates the most commonly employed method for its isolation [130]. Extravesicular exosomal proteins targeted by the capture antibody are known as targeted exosomal markers. These are dependent on specific application of exosomes and the isolation of specific subgroups [131]. Researchers have integrated many separation and sensing functions for exosome isolation, detection, and analysis, emphasizing clinical and point-of-care settings. These novel approaches are expected to promote research advancement and pave the way for personalized medicine through routine exosome-based liquid biopsy [130, 131]. Microfluidic devices were used by Contreras-Naranjo et al., 2017 specifically designed inner capture surface(s) to improve the interaction between functionalized surfaces and the target exosomes, while attaining relatively high flux and good recovery efficiency [131]. Ashcroft et al. employed a detachable microfluidic circuit on the reformed mica surface to increase the captured concentration of micro-particles. Later, they were further examined by atomic force microscopy (AFM) [132]. Another device was designed by Kanwar et al. having multiple circular interconnected (by narrow channels) capture chambers, thereby increasing the retention time of exosomes [133].
Current efforts to improve the microfluidic systems sensitivity have resulted in the implementation of nanostructured coatings [134] and nano-shearing effects [135] for improved efficiency in immune-capture of target exosomes while inhibiting non-specific capture of on-target ones. Yang et al. (2020) evaluated a new integrated microfluidic device to collect exosomes from urine samples, designed precisely for in situ detection and isolation of exosomes specific for lung cancers [136]. This device is made by combining poly-methyl-methacrylate (PMMA) and nano-porous gold (Au) nanocluster membranes modified with capture antibodies. Then the second antibody-conjugated nano-rod Au probe was further loaded for the identification and quantification of these lung cancer- specific exosomes with the help of dark field microscopy [136].
These developments demonstrate how the antibody-based exosome capture strategy has great potential for the development of microfluidic platforms, which can be used for comprehensive analysis in clinical and point-of-care settings. Similar approaches may be adopted for other diseases that may help early diagnosis and treatment of life-threatening conditions.
Conclusion
In conclusion, exosome-based biomarkers for the prognosis and diagnosis of diseases have not found clinical applicability in spite of extensive research in the field. Inherent problems still exist in terms of the lack of a standardized method for translating research data into clinical insights. Further, cost factors and the reliability of the available methods are still questionable. Nevertheless, novel isolation and characterization techniques of exosome analysis are underway and may make it possible to obtain an appropriate cost and sensitivity/specificity equation in the future.
References
Colombo M, Raposo G, Thery C (2014) Biogenesis, secretion, and intercellular interactions of exosomes and other extracellular vesicles. Ann Rev Cell Dev Biol 30:255–289. https://doi.org/10.1146/annurev-cellbio-101512-122326
Raposo G, Stoorvogel W (2013) Extracellular vesicles: exosomes, microvesicles, and friends. J Cell Biol 200(4):373–383. https://doi.org/10.1083/jcb.201211138
Vlassov AV, Magdaleno S, Setterquist R, Conrad R (2012) Exosomes: current knowledge of their composition, biological functions, and diagnostic and therapeutic potentials. Biochem Biophys Acta 1820(7):940–948. https://doi.org/10.1016/j.bbagen.2012.03.017
Barros ER, Carvajal CA (2017) Urinary exosomes and their cargo: potential biomarkers for mineralocorticoid arterial hypertension? Front Endocrinol (Lausanne) 8:230–230. https://doi.org/10.3389/fendo.2017.00230
Camussi G, Deregibus MC, Bruno S, Cantaluppi V, Biancone L (2010) Exosomes/microvesicles as a mechanism of cell-to-cell communication. Kidney Int 78(9):838–848. https://doi.org/10.1038/ki.2010.278
Dear JW, Street JM, Bailey MA (2013) Urinary exosomes: a reservoir for biomarker discovery and potential mediators of intrarenal signalling. Proteomics 13(10–11):1572–1580. https://doi.org/10.1002/pmic.201200285
Lässer C, Alikhani VS, Ekström K, Eldh M, Paredes PT, Bossios A, Sjöstrand M, Gabrielsson S, Lötvall J, Valadi H (2011) Human saliva, plasma and breast milk exosomes contain RNA: uptake by macrophages. J Transl Med 9:9–9. https://doi.org/10.1186/1479-5876-9-9
Palanisamy V, Sharma S, Deshpande A, Zhou H, Gimzewski J, Wong DT (2010) Nanostructural and transcriptomic analyses of human saliva derived exosomes. PLoS ONE 5(1):e8577. https://doi.org/10.1371/journal.pone.0008577
Thakur BK, Zhang H, Becker A, Matei I, Huang Y, Costa-Silva B, Zheng Y, Hoshino A, Brazier H, Xiang J, Williams C, Rodriguez-Barrueco R, Silva JM, Zhang W, Hearn S, Elemento O, Paknejad N, Manova-Todorova K, Welte K, Bromberg J, Peinado H, Lyden D (2014) Double-stranded DNA in exosomes: a novel biomarker in cancer detection. Cell Res 24(6):766–769. https://doi.org/10.1038/cr.2014.44
Tu M, Wei F, Yang J, Wong D (2015) Detection of exosomal biomarker by electric field-induced release and measurement (EFIRM). J Vis Exp JoVE 95:52439. https://doi.org/10.3791/52439
Pegtel DM, Gould SJ (2019) Exosomes. Ann Rev Biochem 88:487–514
Valadi H, Ekström K, Bossios A, Sjöstrand M, Lee JJ, Lötvall JO (2007) Exosome-mediated transfer of mRNAs and microRNAs is a novel mechanism of genetic exchange between cells. Nat Cell Biol 9(6):654–659
Zomer A, Maynard C, Verweij FJ, Kamermans A, Schäfer R, Beerling E, Schiffelers RM, de Wit E, Berenguer J, Ellenbroek SIJ (2015) In vivo imaging reveals extracellular vesicle-mediated phenocopying of metastatic behavior. Cell 161(5):1046–1057
McKiernan J, Donovan MJ, O’Neill V, Bentink S, Noerholm M, Belzer S, Skog J, Kattan MW, Partin A, Andriole G (2016) A novel urine exosome gene expression assay to predict high-grade prostate cancer at initial biopsy. JAMA Oncol 2(7):882–889
Hoshino A, Costa-Silva B, Shen T-L, Rodrigues G, Hashimoto A, Mark MT, Molina H, Kohsaka S, Di Giannatale A, Ceder S (2015) Tumour exosome integrins determine organotropic metastasis. Nature 527(7578):329–335
Lambert AW, Pattabiraman DR, Weinberg RA (2017) Emerging biological principles of metastasis. Cell 168(4):670–691
Howitt J, Hill AF (2016) Exosomes in the pathology of neurodegenerative diseases. J Biol Chem 291(52):26589–26597
Mulcahy LA, Pink RC, Carter DR (2014) Routes and mechanisms of extracellular vesicle uptake. J Extracell Vesicles. https://doi.org/10.3402/jev.v3.24641
Kim MS, Haney MJ, Zhao Y, Mahajan V, Deygen I, Klyachko NL, Inskoe E, Piroyan A, Sokolsky M, Okolie O, Hingtgen SD, Kabanov AV, Batrakova EV (2016) Development of exosome-encapsulated paclitaxel to overcome MDR in cancer cells. Nanomed Nanotechnol Biol Med 12(3):655–664. https://doi.org/10.1016/j.nano.2015.10.012
Tsoi KM, MacParland SA, Ma X-Z, Spetzler VN, Echeverri J, Ouyang B, Fadel SM, Sykes EA, Goldaracena N, Kaths JM, Conneely JB, Alman BA, Selzner M, Ostrowski MA, Adeyi OA, Zilman A, McGilvray ID, Chan WCW (2016) Mechanism of hard-nanomaterial clearance by the liver. Nat Mater 15(11):1212–1221. https://doi.org/10.1038/nmat4718
Li X, Corbett AL, Taatizadeh E, Tasnim N, Little JP, Garnis C, Daugaard M, Guns E, Hoorfar M, Li ITS (2019) Challenges and opportunities in exosome research—perspectives from biology, engineering, and cancer therapy. APL Bioeng 3(1):011503. https://doi.org/10.1063/1.5087122
Yang T, Martin P, Fogarty B, Brown A, Schurman K, Phipps R, Yin VP, Lockman P, Bai S (2015) Exosome delivered anticancer drugs across the blood-brain barrier for brain cancer therapy in Danio rerio. Pharm Res 32(6):2003–2014. https://doi.org/10.1007/s11095-014-1593-y
Cheng J, Nonaka T, Wong DTW (2019) salivary exosomes as nanocarriers for cancer biomarker delivery. Materials (Basel, Switzerland). https://doi.org/10.3390/ma12040654
Herreros-Villanueva M, Bujanda L (2016) Non-invasive biomarkers in pancreatic cancer diagnosis: what we need versus what we have. Ann Transl Med 4(7):134. https://doi.org/10.21037/atm.2016.03.44
Huebner AR, Somparn P, Benjachat T, Leelahavanichkul A, Avihingsanon Y, Fenton RA, Pisitkun T (2015) Exosomes in urine biomarker discovery. Adv Exp Med Biol 845:43–58. https://doi.org/10.1007/978-94-017-9523-4_5
Beasley-Green A (2016) Urine proteomics in the era of mass spectrometry. Int Neurourol J 20(Suppl 2):S70–S75. https://doi.org/10.5213/inj.1612720.360
Lange T, Artelt N, Kindt F, Stracke S, Rettig R, Lendeckel U, Chadjichristos CE, Kavvadas P, Chatziantoniou C, Endlich K (2019) MiR-21 is up-regulated in urinary exosomes of chronic kidney disease patients and after glomerular injury. J Cell Mol Med 23(7):4839
Sonoda H, Lee BR, Park K-H, Nihalani D, Yoon J-H, Ikeda M, Kwon S-H (2019) miRNA profiling of urinary exosomes to assess the progression of acute kidney injury. Sci Rep 9(1):1–11
Gheinani AH, Vögeli M, Baumgartner U, Vassella E, Draeger A, Burkhard FC, Monastyrskaya K (2018) Improved isolation strategies to increase the yield and purity of human urinary exosomes for biomarker discovery. Sci Rep 8(1):1–17
Ayala-Mar S, Donoso-Quezada J, Gallo-Villanueva RC, Perez-Gonzalez VH, González-Valdez J (2019) Recent advances and challenges in the recovery and purification of cellular exosomes. Electrophoresis 40(23–24):3036–3049
Doyle LM, Wang MZ (2019) Overview of extracellular vesicles, their origin, composition, purpose, and methods for exosome isolation and analysis. Cells 8(7):727
Thongboonkerd V (2019) Roles for exosome in various kidney diseases and disorders. Front Pharmacol. https://doi.org/10.3389/fphar.2019.01655
Lin J, Li J, Huang B, Liu J, Chen X, Chen X-M, Xu Y-M, Huang L-F, Wang X-Z (2015) Exosomes: novel biomarkers for clinical diagnosis. Sci World J 2015:8. https://doi.org/10.1155/2015/657086
Chen CC, Liu L, Ma F, Wong CW, Guo XE, Chacko JV, Farhoodi HP, Zhang SX, Zimak J, Ségaliny A (2016) Elucidation of exosome migration across the blood–brain barrier model in vitro. Cell Mol Bioeng 9(4):509–529
Chen Y, Xie Y, Xu L, Zhan S, Xiao Y, Gao Y, Wu B, Ge W (2017) Protein content and functional characteristics of serum-purified exosomes from patients with colorectal cancer revealed by quantitative proteomics. Int J Cancer 140(4):900–913
Soung YH, Ford S, Zhang V, Chung J (2017) Exosomes in cancer diagnostics. Cancers 9(1):8
Solé C, Moliné T, Vidal M, Ordi-Ros J, Cortés-Hernández J (2019) An exosomal urinary miRNA signature for early diagnosis of renal fibrosis in lupus nephritis. Cells 8(8):773
Zaporozhchenko IA, Bryzgunova OE, Lekchnov EA, Osipov ID, Zaripov MM, Yurchenko YB, Yarmoschuk SV, Pashkovskaya OA, Rykova EY, Zheravin AA, Laktionov PP (2018) Representation analysis of miRNA in urine microvesicles and cell-free urine in prostate diseases. Biochem Suppl Ser B Biomed Chem 12(2):156–163. https://doi.org/10.1134/s1990750818020142
Turturici G, Tinnirello R, Sconzo G, Geraci F (2014) Extracellular membrane vesicles as a mechanism of cell-to-cell communication: advantages and disadvantages. Am J Physiol Cell Physiol 306(7):C621–C633
Villa F, Quarto R, Tasso R (2019) Extracellular vesicles as natural, safe and efficient drug delivery systems. Pharmaceutics 11(11):557
Zhuang X, Xiang X, Grizzle W, Sun D, Zhang S, Axtell RC, Ju S, Mu J, Zhang L, Steinman L (2011) Treatment of brain inflammatory diseases by delivering exosome encapsulated anti-inflammatory drugs from the nasal region to the brain. Mol Ther 19(10):1769–1779
Antes TJ, Middleton RC, Luther KM, Ijichi T, Peck KA, Liu WJ, Valle J, Echavez AK, Marbán E (2018) Targeting extracellular vesicles to injured tissue using membrane cloaking and surface display. J Nanobiotechnol 16(1):1–15
Ryu A-R, Kim DH, Kim E, Lee MY (2018) The potential roles of extracellular vesicles in cigarette smoke-associated diseases. Oxidative Med Cell Longev. https://doi.org/10.1155/2018/4692081
Maas SLN, Breakefield XO, Weaver AM (2017) Extracellular vesicles: unique intercellular delivery vehicles. Trends Cell Biol 27(3):172–188. https://doi.org/10.1016/j.tcb.2016.11.003
Tkach M, Thery C (2016) Communication by extracellular vesicles: where we are and where we need to go. Cell 164(6):1226–1232. https://doi.org/10.1016/j.cell.2016.01.043
van Niel G, D’Angelo G, Raposo G (2018) Shedding light on the cell biology of extracellular vesicles. Nat Rev Mol Cell Biol 19(4):213–228. https://doi.org/10.1038/nrm.2017.125
Yuana Y, Levels J, Grootemaat A, Sturk A, Nieuwland R (2014) Co-isolation of extracellular vesicles and high-density lipoproteins using density gradient ultracentrifugation. J Extracell Vesicles. https://doi.org/10.3402/jev.v3403.23262
Sonoda H, Lee BR, Park K-H, Nihalani D, Yoon J-H, Ikeda M, Kwon S-H (2019) miRNA profiling of urinary exosomes to assess the progression of acute kidney injury. Sci Rep 9(1):4692. https://doi.org/10.1038/s41598-019-40747-8
Cheng H, Fang H, Xu RD, Fu MQ, Chen L, Song XY, Qian JY, Zou YZ, Ma JY, Ge JB (2019) Development of a rinsing separation method for exosome isolation and comparison to conventional methods. Eur Rev Med Pharmacol Sci 23(12):5074–5083. https://doi.org/10.26355/eurrev_201906_18171
Lan T, Xi X, Chu Q, Zhao L, Chen A, Lu JJ, Wang F, Zhang W (2018) A preliminary origin-tracking study of different densities urinary exosomes. Electrophoresis 39(18):2316–2320. https://doi.org/10.1002/elps.201700388
Gupta S, Rawat S, Arora V, Kottarath SK, Dinda AK, Vaishnav PK, Nayak B, Mohanty S (2018) An improvised one-step sucrose cushion ultracentrifugation method for exosome isolation from culture supernatants of mesenchymal stem cells. Stem Cell Res Therapy 9(1):1–11
Wu Y, Deng W, Klinke DJ 2nd (2015) Exosomes: improved methods to characterize their morphology, RNA content, and surface protein biomarkers. Analyst 140(19):6631–6642. https://doi.org/10.1039/c5an00688k
Sharma S, Rasool HI, Palanisamy V, Mathisen C, Schmidt M, Wong DT, Gimzewski JK (2010) Structural-mechanical characterization of nanoparticle exosomes in human saliva, using correlative AFM, FESEM, and force spectroscopy. ACS Nano 4(4):1921–1926. https://doi.org/10.1021/nn901824n
Awdishu L, Tsunoda S, Pearlman M, Kokoy-Mondragon C, Ghassemian M, Naviaux RK, Patton HM, Mehta RL, Vijay B, RamachandraRao SP (2019) Identification of maltase glucoamylase as a biomarker of acute kidney injury in patients with cirrhosis. Critic Care Res Pract. https://doi.org/10.1155/2019/5912804
Awdishu L, Tsunoda S, Pearlman M, Kokoy-Mondragon C, Ghassemian M, Naviaux RK, Patton HM, Mehta RL, Vijay B, RamachandraRao SP (2019) Identification of maltase glucoamylase as a biomarker of acute kidney injury in patients with cirrhosis. Crit Care Res Pract 2019:5912804. https://doi.org/10.1155/2019/5912804
Carvajal C, Herrada A, Castillo C, Contreras F, Stehr C, Mosso L, Kalergis A, Fardella C (2009) Primary aldosteronism can alter peripheral levels of transforming growth factor β and tumor necrosis factor α. J Endocrinol Invest 32(9):759–765
Stehr CB, Mellado R, Ocaranza MP, Carvajal CA, Mosso L, Becerra E, Solis M, García L, Lavandero S, Jalil J (2010) Increased levels of oxidative stress, subclinical inflammation, and myocardial fibrosis markers in primary aldosteronism patients. J Hypertens 28(10):2120–2126
Zhu X, Manning RD Jr, Lu D, Gomez-Sanchez CE, Fu Y, Juncos LA, Liu R (2011) Aldosterone stimulates superoxide production in macula densa cells. Am J Physiol Renal Physiol 301(3):F529–F535
Carvajal CA, Herrada AA, Castillo CR, Contreras FJ, Stehr CB, Mosso LM, Kalergis AM, Fardella CE (2009) Primary aldosteronism can alter peripheral levels of transforming growth factor beta and tumor necrosis factor alpha. J Endocrinol Invest 32(9):759–765. https://doi.org/10.3275/6429
10.1007/bf03346533.
Stehr CB, Mellado R, Ocaranza MP, Carvajal CA, Mosso L, Becerra E, Solis M, Garcia L, Lavandero S, Jalil J, Fardella CE (2010) Increased levels of oxidative stress, subclinical inflammation, and myocardial fibrosis markers in primary aldosteronism patients. J Hypertens 28(10):2120–2126. https://doi.org/10.1097/HJH.0b013e32833d0177
Zhu X, Manning RD Jr, Lu D, Gomez-Sanchez CE, Fu Y, Juncos LA, Liu R (2011) Aldosterone stimulates superoxide production in macula densa cells. Am J Physiol Ren Physiol 301(3):F529-535. https://doi.org/10.1152/ajprenal.00596.2010
Feldman RD, Limbird LE (2017) GPER (GPR30): a nongenomic receptor (gpcr) for steroid hormones with implications for cardiovascular disease and cancer. Annu Rev Pharmacol Toxicol 57:567–584. https://doi.org/10.1146/annurev-pharmtox-010716-104651
Kuppusamy M, Gomez-Sanchez EP, Beloate LN, Plonczynski M, Naray-Fejes-Toth A, Fejes-Toth G, Gomez-Sanchez CE (2017) Interaction of the mineralocorticoid receptor with RACK1 and its role in aldosterone signaling. Endocrinology 158(7):2367–2375. https://doi.org/10.1210/en.2017-00095
Shibata S, Mu S, Kawarazaki H, Muraoka K, Ishizawa K, Yoshida S, Kawarazaki W, Takeuchi M, Ayuzawa N, Miyoshi J, Takai Y, Ishikawa A, Shimosawa T, Ando K, Nagase M, Fujita T (2011) Rac1 GTPase in rodent kidneys is essential for salt-sensitive hypertension via a mineralocorticoid receptor-dependent pathway. J Clin Investig 121(8):3233–3243. https://doi.org/10.1172/jci43124
Tapia-Castillo A, Carvajal CA, Campino C, Hill C, Allende F, Vecchiola A, Carrasco C, Bancalari R, Valdivia C, Lagos C, Martinez-Aguayo A, Garcia H, Aglony M, Baudrand RF, Kalergis AM, Michea LF, Riedel CA, Fardella CE (2015) The expression of RAC1 and mineralocorticoid pathway-dependent genes are associated with different responses to salt intake. Am J Hypertens 28(6):722–728. https://doi.org/10.1093/ajh/hpu224
Ichai C, Bichet DG (2018) Water and sodium balance. Metabolic disorders and critically ill patients. Springer, Cham, pp 3–31
Rodríguez M, Bajo-Santos C, Hessvik NP, Lorenz S, Fromm B, Berge V, Sandvig K, Linē A, Llorente A (2017) Identification of non-invasive miRNAs biomarkers for prostate cancer by deep sequencing analysis of urinary exosomes. Mol Cancer 16(1):156
Vives EG, Marcé CS, Vidal M, Cortés-Hernández J, Ordi-Ros J (2018) Urinary exosomes microRNAs: a future biomarkers in lupus patients with renal involvement. J Extracell Vesicles 7:174–174
Pathare G, Dhayat N, Mohebbi N, Wagner CA, Cheval L, Neuhaus TJ, Fuster DG (2018) Acute regulated expression of pendrin in human urinary exosomes. Pflügers Arch Eur J Physiol 470(2):427–438
Khurana R, Ranches G, Schafferer S, Lukasser M, Rudnicki M, Mayer G, Hüttenhofer A (2017) Identification of urinary exosomal noncoding RNAs as novel biomarkers in chronic kidney disease. RNA (New York, NY) 23(2):142–152. https://doi.org/10.1261/rna.058834.116
Lange T, Stracke S, Rettig R, Lendeckel U, Kuhn J, Schlüter R, Rippe V, Endlich K, Endlich N (2017) Identification of miR-16 as an endogenous reference gene for the normalization of urinary exosomal miRNA expression data from CKD patients. PLoS ONE. https://doi.org/10.1371/journal.pone.0183435
Khurana R, Ranches G, Schafferer S, Lukasser M, Rudnicki M, Mayer G, Hüttenhofer A (2017) Identification of urinary exosomal noncoding RNAs as novel biomarkers in chronic kidney disease. RNA 23(2):142–152
Dusso A, Colombo MI, Shanahan CM (2018) Not all vascular smooth muscle cell exosomes calcify equally in chronic kidney disease. Kidney Int 93(2):298–301
Chen NX, O’Neill KD, Moe SM (2018) Matrix vesicles induce calcification of recipient vascular smooth muscle cells through multiple signaling pathways. Kidney Int 93(2):343–354
Wang B, Zhang A, Wang H, Klein JD, Tan L, Wang Z-M, Du J, Naqvi N, Liu B-C, Wang XH (2019) miR-26a limits muscle wasting and cardiac fibrosis through exosome-mediated microRNA transfer in chronic kidney disease. Theranostics 9(7):1864
Shibata S, Mu S, Kawarazaki H, Muraoka K, Ishizawa K-i, Yoshida S, Kawarazaki W, Takeuchi M, Ayuzawa N, Miyoshi J (2011) Rac1 GTPase in rodent kidneys is essential for salt-sensitive hypertension via a mineralocorticoid receptor–dependent pathway. J Clin Investig 121(8):3233–3243
Zang J, Maxwell AP, Simpson DA, McKay GJ (2019) Differential expression of urinary exosomal microRNAs miR-21-5p and miR-30b-5p in Individuals with diabetic kidney disease. Sci Rep 9(1):10900. https://doi.org/10.1038/s41598-019-47504-x
Zang J, Maxwell AP, Simpson DA, McKay GJ (2019) Differential expression of urinary exosomal microRNAs miR-21-5p and miR-30b-5p in individuals with diabetic kidney disease. Sci Rep 9(1):1–10
Sakurai A, Ono H, Ochi A, Matsuura M, Yoshimoto S, Kishi S, Murakami T, Tominaga T, Nagai K, Abe H, Doi T (2019) Involvement of Elf3 on Smad3 activation-dependent injuries in podocytes and excretion of urinary exosome in diabetic nephropathy. PLoS ONE 14(5):e0216788. https://doi.org/10.1371/journal.pone.0216788
Li W, Yang S, Qiao R, Zhang J (2018) Potential value of urinary exosome-derived let-7c-5p in the diagnosis and progression of type II diabetic nephropathy. Clin Lab 64(5):709–718
Webber JP, Spary LK, Sanders AJ, Chowdhury R, Jiang WG, Steadman R, Wymant J, Jones AT, Kynaston H, Mason MD, Tabi Z, Clayton A (2015) Differentiation of tumour-promoting stromal myofibroblasts by cancer exosomes. Oncogene 34(3):290–302. https://doi.org/10.1038/onc.2013.560
Webber J, Steadman R, Mason MD, Tabi Z, Clayton A (2010) Cancer exosomes trigger fibroblast to myofibroblast differentiation. Cancer Res 70(23):9621–9630. https://doi.org/10.1158/0008-5472.can-10-1722
Todorova D, Simoncini S, Lacroix R, Sabatier F, Dignat-George F (2017) Extracellular vesicles in angiogenesis. Circ Res 120(10):1658–1673. https://doi.org/10.1161/CIRCRESAHA.117.309681
Zheng R, Du M, Wang X, Xu W, Liang J, Wang W, Lv Q, Qin C, Chu H, Wang M (2018) Exosome–transmitted long non-coding RNA PTENP1 suppresses bladder cancer progression. Mol Cancer 17(1):143
Berrondo C, Flax J, Kucherov V, Siebert A, Osinski T, Rosenberg A, Fucile C, Richheimer S, Beckham CJ (2016) Expression of the long non-coding RNA HOTAIR correlates with disease progression in bladder cancer and is contained in bladder cancer patient urinary exosomes. PLoS ONE. https://doi.org/10.1371/journal.pone.0147236
Dhondt B, Van Deun J, Vermaerke S, de Marco A, Lumen N, De Wever O, Hendrix A (2018) Urinary extracellular vesicle biomarkers in urological cancers: from discovery towards clinical implementation. Int J Biochem Cell Biol 99:236–256. https://doi.org/10.1016/j.biocel.2018.04.009
Chen CL, Lai YF, Tang P, Chien KY, Yu JS, Tsai CH, Chen HW, Wu CC, Chung T, Hsu CW, Chen CD, Chang YS, Chang PL, Chen YT (2012) Comparative and targeted proteomic analyses of urinary microparticles from bladder cancer and hernia patients. J Proteome Res 11(12):5611–5629. https://doi.org/10.1021/pr3008732
Lin SY, Chang CH, Wu HC, Lin CC, Chang KP, Yang CR, Huang CP, Hsu WH, Chang CT, Chen CJ (2016) Proteome profiling of urinary exosomes identifies alpha 1-antitrypsin and H2B1K as diagnostic and prognostic biomarkers for urothelial carcinoma. Sci Rep. https://doi.org/10.1038/srep34446
Silvers CR, Liu YR, Wu CH, Miyamoto H, Messing EM, Lee YF (2016) Identification of extracellular vesicle-borne periostin as a feature of muscle-invasive bladder cancer. Oncotarget 7(17):23335–23345. https://doi.org/10.18632/oncotarget.8024
Silvers CR, Miyamoto H, Messing EM, Netto GJ, Lee YF (2017) Characterization of urinary extracellular vesicle proteins in muscle-invasive bladder cancer. Oncotarget 8(53):91199–91208. https://doi.org/10.18632/oncotarget.20043
Perez A, Loizaga A, Arceo R, Lacasa I, Rabade A, Zorroza K, Mosen-Ansorena D, Gonzalez E, Aransay AM, Falcon-Perez JM, Unda-Urzaiz M, Royo F (2014) A pilot study on the potential of RNA-associated to urinary vesicles as a suitable non-invasive source for diagnostic purposes in bladder cancer. Cancers 6(1):179–192. https://doi.org/10.3390/cancers6010179
Berrondo C, Flax J, Kucherov V, Siebert A, Osinski T, Rosenberg A, Fucile C, Richheimer S, Beckham CJ (2016) Expression of the long non-coding RNA HOTAIR correlates with disease progression in bladder cancer and is contained in bladder cancer patient urinary exosomes. PLoS ONE 11(1):e0147236. https://doi.org/10.1371/journal.pone.0147236
Dijkstra S, Mulders PFA, Schalken JA (2014) Clinical use of novel urine and blood based prostate cancer biomarkers: a review. Clin Biochem 47(10):889–896. https://doi.org/10.1016/j.clinbiochem.2013.10.023
Deras IL, Aubin SM, Blase A, Day JR, Koo S, Partin AW, Ellis WJ, Marks LS, Fradet Y, Rittenhouse H, Groskopf J (2008) PCA3: a molecular urine assay for predicting prostate biopsy outcome. J Urol 179(4):1587–1592. https://doi.org/10.1016/j.juro.2007.11.038
Bryzgunova OE, Zaripov MM, Skvortsova TE, Lekchnov EA, Grigor’eva AE, Zaporozhchenko IA, Morozkin ES, Ryabchikova EI, Yurchenko YB, Voitsitskiy VE, Laktionov PP (2016) Comparative study of extracellular vesicles from the urine of healthy individuals and prostate cancer patients. PLoS ONE 11(6):e0157566. https://doi.org/10.1371/journal.pone.0157566
Bijnsdorp IV, Geldof AA, Lavaei M, Piersma SR, van Moorselaar RJ, Jimenez CR (2013) Exosomal ITGA3 interferes with non-cancerous prostate cell functions and is increased in urine exosomes of metastatic prostate cancer patients. J Extracell Vesicles. https://doi.org/10.3402/jev.v2i0.22097
Donovan MJ, Noerholm M, Bentink S, Belzer S, Skog J, O’Neill V, Cochran JS, Brown GA (2015) A molecular signature of PCA3 and ERG exosomal RNA from non-DRE urine is predictive of initial prostate biopsy result. Prostate Cancer Prostatic Dis 18(4):370–375. https://doi.org/10.1038/pcan.2015.40
Royo F, Zuniga-Garcia P, Sanchez-Mosquera P, Egia A, Perez A, Loizaga A, Arceo R, Lacasa I, Rabade A, Arrieta E, Bilbao R, Unda M, Carracedo A, Falcon-Perez JM (2016) Different EV enrichment methods suitable for clinical settings yield different subpopulations of urinary extracellular vesicles from human samples. J Extracell Vesicles 5:29497. https://doi.org/10.3402/jev.v5.29497
Neeb A, Hefele S, Bormann S, Parson W, Adams F, Wolf P, Miernik A, Schoenthaler M, Kroenig M, Wilhelm K, Schultze-Seemann W, Nestel S, Schaefer G, Bu H, Klocker H, Nazarenko I, Cato ACB (2014) Splice variant transcripts of the anterior gradient 2 gene as a marker of prostate cancer. Oncotarget 5(18):8681–8689
Skotland T, Ekroos K, Kauhanen D, Simolin H, Seierstad T, Berge V, Sandvig K, Llorente A (2017) Molecular lipid species in urinary exosomes as potential prostate cancer biomarkers. Eur J Cancer 70:122–132. https://doi.org/10.1016/j.ejca.2016.10.011
Yang JS, Lee JC, Byeon SK, Rha KH, Moon MH (2017) Size dependent lipidomic analysis of urinary exosomes from patients with prostate cancer by flow field-flow fractionation and nanoflow liquid chromatography-tandem mass spectrometry. Anal Chem 89(4):2488–2496. https://doi.org/10.1021/acs.analchem.6b04634
Yang W-W, Yang L-Q, Zhao F, Chen C-W, Xu L-H, Fu J, Li S-L, Ge X-Y (2017) Epiregulin promotes lung metastasis of salivary adenoid cystic carcinoma. Theranostics 7(15):3700–3714. https://doi.org/10.7150/thno.19712
Rodriguez M, Bajo-Santos C, Hessvik NP, Lorenz S, Fromm B, Berge V, Sandvig K, Line A, Llorente A (2017) Identification of non-invasive miRNAs biomarkers for prostate cancer by deep sequencing analysis of urinary exosomes. Mol Cancer 16(1):156. https://doi.org/10.1186/s12943-017-0726-4
Yazarlou F, Modarressi MH, Mowla SJ, Oskooei VK, Motevaseli E, Tooli LF, Nekoohesh L, Eghbali M, Ghafouri-Fard S, Afsharpad M (2018) Urinary exosomal expression of long non-coding RNAs as diagnostic marker in bladder cancer. Cancer Manag Res 10:6357–6365. https://doi.org/10.2147/cmar.s186108
Kurahashi R, Kadomatsu T, Baba M, Hara C, Itoh H, Miyata K, Endo M, Morinaga J, Terada K, Araki K, Eto M, Schmidt LS, Kamba T, Linehan WM, Oike Y (2019) MicroRNA-204–5p: a novel candidate urinary biomarker of Xp11.2 translocation renal cell carcinoma. Cancer Sci 110(6):1897–1908. https://doi.org/10.1111/cas.14026
Gu C-Y, Huang Y-Q, Han C-T, Zhu Y, Bo D, Meng J, Qin X-J, Ye D-W (2019) Clinical significance of urine prostatic exosomal protein in the diagnosis of prostate cancer. Am J Cancer Res 9(5):1074
Wang H, Lu Z, Zhao X (2019) Tumorigenesis, diagnosis, and therapeutic potential of exosomes in liver cancer. J Hematol Oncol 12(1):133
Di Meo A, Batruch I, Brown MD, Yang C, Finelli A, Jewett MAS, Diamandis EP, Yousef GM (2019) Identification of prognostic biomarkers in the urinary peptidome of the small renal mass. Am J Pathol 189(12):2366–2376. https://doi.org/10.1016/j.ajpath.2019.08.015
Lim W, Kim H-S (2019) Exosomes as therapeutic vehicles for cancer. Tissue Eng Regen Med. https://doi.org/10.1007/s13770-019-00190-2
Kurahashi R, Kadomatsu T, Baba M, Hara C, Itoh H, Miyata K, Endo M, Morinaga J, Terada K, Araki K (2019) MicroRNA-204-5p: a novel candidate urinary biomarker of Xp11. 2 translocation renal cell carcinoma. Cancer Sci 110(6):197
Huang T, Song C, Zheng L, Xia L, Li Y, Zhou Y (2019) The roles of extracellular vesicles in gastric cancer development, microenvironment, anti-cancer drug resistance, and therapy. Mol Cancer 18(1):62
Fredsøe J, Rasmussen AK, Mouritzen P, Borre M, Ørntoft T, Sørensen KD (2019) A five-microRNA model (pCaP) for predicting prostate cancer aggressiveness using cell-free urine. Int J Cancer 145(9):2558–2567
Scott E, Munkley J (2019) Glycans as biomarkers in prostate cancer. Int J Mol Sci 20(6):1389
Munkley J, Mills IG, Elliott DJ (2016) The role of glycans in the development and progression of prostate cancer. Nat Rev Urol 13(6):324
Tkac J, Bertok T, Hires M, Jane E, Lorencova L, Kasak P (2019) Glycomics of prostate cancer: Updates. Expert Rev Proteomics 16(1):65–76
Güllü Amuran G, Tinay I, Filinte D, Ilgin C, Peker Eyüboğlu I, Akkiprik M (2020) Urinary micro-RNA expressions and protein concentrations may differentiate bladder cancer patients from healthy controls. Int Urol Nephrol 52(3):461–468. https://doi.org/10.1007/s11255-019-02328-6
Matsuda A, Kuno A, Yoshida M, Wagatsuma T, Sato T, Miyagishi M, Zhao J, Suematsu M, Kabe Y, Narimatsu H (2020) Comparative glycomic analysis of exosome subpopulations derived from pancreatic cancer cell lines. J Proteome Res 19(6):2516–2524
Royo F, Cossio U, Llop J, Falcón-Pérez JM (2018) Modifications of the glycome of extracellular vesicles affect their biodistribution in mice. J Extracell Vesicles 7:216–217
Song W, Zhou X, Benktander JD, Gaunitz S, Zou G, Wang Z, Novotny MV, Jacobson SC (2019) In-depth compositional and structural characterization of N-Glycans derived from human urinary exosomes. Anal Chem 91(21):13528–13537
D’Agati VD, Kaskel FJ, Falk RJ (2011) Focal segmental glomerulosclerosis. N Engl J Med 365(25):2398–2411. https://doi.org/10.1056/NEJMra1106556
Gebeshuber CA, Kornauth C, Dong L, Sierig R, Seibler J, Reiss M, Tauber S, Bilban M, Wang S, Kain R, Bohmig GA, Moeller MJ, Grone HJ, Englert C, Martinez J, Kerjaschki D (2013) Focal segmental glomerulosclerosis is induced by microRNA-193a and its downregulation of WT1. Nat Med 19(4):481–487. https://doi.org/10.1038/nm.3142
Huang Z, Zhang Y, Zhou J, Zhang Y (2017) Urinary exosomal miR-193a can be a potential biomarker for the diagnosis of primary focal segmental glomerulosclerosis in children. BioMed Res Int 2017:6. https://doi.org/10.1155/2017/7298160
Delić D, Eisele C, Schmid R, Baum P, Wiech F, Gerl M, Zimdahl H, Pullen SS, Urquhart R (2016) Urinary exosomal miRNA signature in type II diabetic nephropathy patients. PLoS ONE. https://doi.org/10.1371/journal.pone.0150154
Gudehithlu KP, Hart P, Joshi A, Garcia-Gomez I, Cimbaluk DJ, Dunea G, Arruda JA, Singh AK (2019) Urine exosomal ceruloplasmin: a potential early biomarker of underlying kidney disease. Clin Exp Nephrol 23(8):1013–1021
Solé-Marcé C, Cortés-Hernández J, Vidal M, Felip ML, Ordi-Ros J (2015) THU0377 MIR-29C in urinary exosomes as predictor of early renal fibrosis in lupus nephritis. Ann Rheum Dis 74(Suppl 2):332–333. https://doi.org/10.1136/annrheumdis-2015-eular.4578
Baglio S, Masoumi N, Tsang-a-Sjoe M, Mv Eijndhoven, Heutinck K, Jordanova E, ten Berge R, Grundberg K, Schiffelers R, van den Wetering J, de Wildt K, Verkuijlen S, Roelofs J, Bultink I, Middeldorp J, Voskuyl A, Pegtel D (2018) S2D:5 Exosomes target renal tubular epithelial cells transferring inflammatory epstein–barr virus-encoded small rna (eber1) in lupus nephritis patients. Lupus Sci Med 5(Suppl 1):A8–A9. https://doi.org/10.1136/lupus-2018-abstract.10
Solé-Marcé C, Garcia-Vives E, Agraz I, Ordi-Ros J, Cortés-Hernández J (2019) THU0236 urinary exosomal MIR-31, MIR-107 AND MIR-135B-5P from tubular renal cells as responder biomarker in lupus nephritis. Ann Rheum Dis 78(Suppl 2):395–396. https://doi.org/10.1136/annrheumdis-2019-eular.5346
Garcia-Vives E, Solé C, Moliné T, Vidal M, Agraz I, Ordi-Ros J, Cortés-Hernández J (2020) The urinary exosomal miRNA expression profile is predictive of clinical response in lupus nephritis. Int J Mol Sci 21(4):1372
Chen CC, Liu L, Ma F, Wong CW, Guo XE, Chacko JV, Farhoodi HP, Zhang SX, Zimak J, Segaliny A, Riazifar M, Pham V, Digman MA, Pone EJ, Zhao W (2016) Elucidation of exosome migration across the blood-brain barrier model in vitro. Cell Mol Bioeng 9(4):509–529. https://doi.org/10.1007/s12195-016-0458-3
Iliescu FS, Vrtačnik D, Neuzil P, Iliescu C (2019) Microfluidic technology for clinical applications of exosomes. Micromachines 10(6):392
Contreras-Naranjo JC, Wu H-J, Ugaz VM (2017) Microfluidics for exosome isolation and analysis: enabling liquid biopsy for personalized medicine. Lab Chip 17(21):3558–3577
Ashcroft BA, de Sonneville J, Yuana Y, Osanto S, Bertina R, Kuil ME, Oosterkamp TH (2012) Determination of the size distribution of blood microparticles directly in plasma using atomic force microscopy and microfluidics. Biomed Microdevices 14(4):641–649. https://doi.org/10.1007/s10544-012-9642-y
Kanwar SS, Dunlay CJ, Simeone DM, Nagrath S (2014) Microfluidic device (ExoChip) for on-chip isolation, quantification and characterization of circulating exosomes. Lab Chip 14(11):1891–1900
Zhang P, He M, Zeng Y (2016) Ultrasensitive microfluidic analysis of circulating exosomes using a nanostructured graphene oxide/polydopamine coating. Lab Chip 16(16):3033–3042
Vaidyanathan R, Naghibosadat M, Rauf S, Korbie D, Carrascosa LG, Shiddiky MJ, Trau M (2014) Detecting exosomes specifically: a multiplexed device based on alternating current electrohydrodynamic induced nanoshearing. Anal Chem 86(22):11125–11132
Yang X-X, Sun C, Wang L, Guo X-L (2019) New insight into isolation, identification techniques and medical applications of exosomes. J Controlled Release 308:119–129
Awdishu L, Tsunoda S (2019) Identification of maltase glucoamylase as a biomarker of acute kidney injury in patients with cirrhosis. Crit Care Res Pract 2019:5912804. https://doi.org/10.1155/2019/5912804
Sonoda H, Lee BR, Park KH, Nihalani D, Yoon JH, Ikeda M, Kwon SH (2019) miRNA profiling of urinary exosomes to assess the progression of acute kidney injury. Sci Rep 9(1):4692. https://doi.org/10.1038/s41598-019-40747-8
Barros ER, Carvajal CA (2017) Urinary exosomes and their cargo: potential biomarkers for mineralocorticoid arterial hypertension? Front Endocrinol. https://doi.org/10.3389/fendo.2017.00230
Khurana R, Ranches G, Schafferer S, Lukasser M, Rudnicki M (2017) Identification of urinary exosomal noncoding RNAs as novel biomarkers in chronic kidney disease. RNA 23(2):142–152. https://doi.org/10.1261/rna.058834.116
Zang J, Maxwell AP, Simpson DA (2019) Differential expression of urinary exosomal microRNAs miR-21-5p and miR-30b-5p in individuals with diabetic kidney disease. Sci Rep 9(1):10900. https://doi.org/10.1038/s41598-019-47504-x
Doi T (2019) Involvement of Elf3 on Smad3 activation-dependent injuries in podocytes and excretion of urinary exosome in diabetic nephropathy. PLoS ONE. https://doi.org/10.1371/journal.pone.0216788
Acknowledgements
The authors thank the Portuguese Foundation for Science and Technology (FCT), European Union, QREN, FEDER and COMPETE for funding UnIC—Unidade de Investigação Cardiovascular (UIDB/00051/2020 and UIDP/00051/2020), iBiMED (UID/04501/2020, POCI-01-0145-FEDER-007628) and FCT QOPNA ((FCT UID/QUI/00062/2019) and LAQV/REQUIMTE (UIDB/50006/2020) research units. RV is supported by IF/00286/2015 grants. VT is supported by Mahidol University research grant and the Thailand Research Fund (IRN60W0004).
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Vitorino, R., Ferreira, R., Guedes, S. et al. What can urinary exosomes tell us?. Cell. Mol. Life Sci. 78, 3265–3283 (2021). https://doi.org/10.1007/s00018-020-03739-w
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DOI: https://doi.org/10.1007/s00018-020-03739-w