Daniel A. Smithab,
Kate Simpsona,
Matteo Lo Ciceroc,
Lucy J. Newburyab,
Philip Nicholasd,
Donald J. Fraserab,
Nigel Caigerd,
James E. Redman‡
bc and
Timothy Bowen‡
*ab
aWales Kidney Research Unit, Division of Infection & Immunity, School of Medicine, College of Biomedical and Life Sciences, Cardiff University, Heath Park, Cardiff CF14 4XN, UK. E-mail: bowent@cf.ac.uk
bCardiff Institute of Tissue Engineering and Repair, Museum Place, Cardiff CF10 3BG, UK
cSchool of Chemistry, College of Physical Sciences and Engineering, Cardiff University, Cardiff CF10 3AT, UK
dSun Chemical Ltd, Midsomer Norton, Radstock, Bath BA3 4RT, UK
First published on 25th May 2021
This paper describes a straightforward electrochemical method for rapid and robust urinary microRNA (miRNA) quantification using disposable biosensors that can discriminate between urine from diabetic kidney disease (DKD) patients and control subjects. Aberrant miRNA expression has been observed in several major human disorders, and we have identified a urinary miRNA signature for DKD. MiRNAs therefore have considerable promise as disease biomarkers, and techniques to quantify these transcripts from clinical samples have significant clinical and commercial potential. Current RT-qPCR-based methods require technical expertise, and more straightforward methods such as electrochemical detection offer attractive alternatives. We describe a method to detect urinary miRNAs using diazo sulfonamide-modified screen printed carbon electrode-based biosensors that is amenable to parallel analysis. These sensors showed a linear response to buffered miR-21, with a 17 fM limit of detection, and successfully discriminated between urine samples (n = 6) from DKD patients and unaffected control subjects (n = 6) by differential miR-192 detection. Our technique for quantitative miRNA detection in liquid biopsies has potential for development as a platform for non-invasive high-throughput screening and/or to complement existing diagnostic procedures in disorders such as DKD.
While numerous previous studies have analysed the miRNA content of blood and/or tissue samples,5,6 we have developed RT-qPCR-based methods for precise quantification of miRNAs in a variety of liquid biopsies. In hypothermic machine perfusate, we showed that miR-21 may predict early renal transplantation outcomes.7 In peritoneal dialysis effluent we have identified neutrophil-derived miR-223 as a local biomarker of bacterial peritonitis,8 and shown increased miR-21 in peritoneal fibrosis.9
Detection of urinary miRNAs as disease biomarkers is particularly attractive, since this body fluid is readily collected without the need for invasive venepuncture or renal biopsy. We have identified panels of urinary miRNAs that predict delayed graft function following transplantation,10 and detect diabetic kidney disease (DKD).11 Our DKD patient data also showed significantly decreased urinary miR-192 in those suffering from DKD,11 supporting our previous findings from renal biopsy analyses.12
RT-qPCR is the current gold standard for miRNA quantification.13 We have used this technique in robust and accurate quantification of urinary miRNAs, and shown that these transcripts are stabilised by association with extracellular vesicles and/or argonaute 2 protein.14 However, RT-qPCR requires significant technical expertise, a drawback to implementation in routine testing at point-of-care.13,15
Methods using miRNA biosensors in blotting, fluorescence, and electrochemical procedures offer potentially attractive alternatives to RT-qPCR.16–19 A wide variety of electrochemical detection methods have been reported,17 including the use of aptamer-based probes,20 DNAzymes and nanoparticles.21–23 However, while these approaches offer improved sensitivity, their market potential is limited by requirements for complicated sensor fabrication and end-user expertise.
We developed a straightforward proof-of-concept electrochemical miRNA detection biosensor using a glassy carbon electrode (GCE) and DNA oligonucleotide with a sequence complementary to the target miRNA.24 This technique was more sensitive than RT-qPCR and discriminated between closely related oligonucleotide sequences, but was unsuitable for cost-effective clinical testing as the sensor required refabrication between analyses.24 Consequently, we report here biosensors prepared from inexpensive screen printed carbon electrodes (SPCEs). Electrochemical analysis through the use of SPCEs can be achieved using a portable potentiostat and consumables that are an order of magnitude cheaper than an RT-qPCR instrument, liquid handling system and reagents. SPCEs allow for customisations through printed electrode arrays for detection of multiple analytes or replicates, giving further benefits in cost reduction.
Fig. 1 summarises SPCE-based biosensor fabrication, with SPCEs modified by deposition of diazotised naphthalene sulfonic acid derivative 4-amino-3-hydroxy-1-napthalene sulfonic acid (ANSA). The ANSA is then transformed into a sulfonyl chloride (ANSCl) before a 5′-amine-tagged miRNA-specific DNA oligonucleotide is attached via a sulfonamide linkage to complete the biosensor. The chemistry is easy to perform, with ANSA and oligonucleotides readily available from commercial suppliers. Biosensor readout is then carried out via reductive and oxidative chronocoulometry (throughout shortened to coulometry), obtained by measuring negative and positive potential sweeps using a ferri/ferrocyanide electrolyte, respectively, and readings are compared before and after miRNA-biosensor hybridization. The straightforward biosensor preparation and measurement is an advantage over more complex sensing platforms reported in the literature.17,20–23
Our novel SPCE-based biosensors are disposable, obviating the previous drawbacks using GCEs, but maintain high performance. Suitable for mass-production, they have potential for cost-effective parallel analyses of liquid biopsy miRNA biomarkers in the biochemistry laboratory and/or at point of-care.
Electrochemical experiments were performed using a PalmSens3 potentiostat (Alvatek, Tetbury, Gloucestershire, UK) with MUX8 multiplexer and combined reference and auxiliary over 3 working surfaces of the SPCEs. Data were analysed through PSTrace 5.4 supplied with the PalmSens3 potentiostat. Negative potential sweep (reductive) coulometry was carried out by applying a potential of 0.3 V for 0.1 s, 0.0 V for 2 s and finally 0.5 V for 2 s with measured intervals of 0.01 s; positive potential sweep (oxidative) coulometry by applying a potential of 0.0 V for 0.1 s, 0.3 V for 2 s, and 0.0 V for 3 s with measured intervals of 0.01 s. Differential pulse voltammetry experiments were performed between −0.3 V and 0.5 V at steps of 0.01 V, pulses of 0.05 V and 0.05 s at a scan rate of 0.05 V s−1. All electrochemical measurements were performed in 5 mM K4[Fe(CN)6)]/K3[Fe(CN)6] in 0.1 M KCl. The resulting data were plotted, and statistical analysis performed using GraphPad Prism® 9.
Firstly, 4-amino-3-hydroxy-1-napthalene sulfonic acid (48 mg, 11 mM) and sodium nitrite (17 mg, 14 mM) were dissolved in water (18 mL) and stirred to dissolution on ice. Once cooled, 0.1 M hydrochloric acid (2 mL, 10 mM final concentration) was added dropwise over 5 min, the solution was stirred for 30 min until development of a dark orange colour, and then neutralised according to universal indicator paper with small additions of sodium hydrogen carbonate. Without further purification, 500 μL aliquots were stored at −20 °C until needed.
Following diazo-ANSA synthesis, the SPCE (see Fig. 2) was rinsed with water for 5 min and then vortexed in water for a further 2.5 min to remove surface debris. The electrode was dried by shaking and connected to the potentiostat, 50 μL of diazo-ANSA was added to each surface and electrochemically deposited via 8 cycles of cyclic voltammetry between −0.5 V and 1.5 V at a scan rate of 20 mV s−1. After rinsing to remove residual diazo-ANSA, the electrode was vortexed for a further 2.5 min to remove any unbound diazo-ANSA, and then immersed in a solution of PCl5 (250 mg, 40 mM) in diethyl ether (30 mL) for 1 h to convert the sulfonic acid moiety to a sulfonyl chloride. The amino terminated DNA oligonucleotide with complementary sequence to the target miRNA (40 μL, 1 μM) dissolved in TM buffer (50 mM Tris HCl, 20 mM MgCl2, pH 8.0) was then denatured for 5 min at 90 °C, added to each working surface of the electrode and dried in a box oven at 80 °C for 1 h.
Once dry, the biosensor (DNA-modified SPCE) surfaces were rinsed with water for 5 min, vortexed in water for 2.5 min, and then analysed electrochemically via coulometry to obtain an initial baseline measurement corresponding to single-stranded DNA on the biosensor surface. The cyclic voltammetry, reductive coulometry and oxidative coulometry measurements at each stage are given in the ESI (Fig. S2–S5†).
To obtain a miR-21 calibration plot, miR-21 biosensors were hybridised in triplicate as described above (n = 11). To account for any batch-to-batch variability, readings were pooled over different days from SPCEs generated in four separate print cycles i.e. across multiple printed cards. This is displayed in the error plotted as SEM. Triplicate readings for buffer alone (n = 6) were used as baseline values to determine the limit of detection.
Prior to analysis, urine samples were pre-treated using proteinase K and size exclusion spin filtration to remove proteins and other macromolecular interferents. A 480 μL urine aliquot was then mixed with 20 μL of proteinase K (20 mg mL−1) and CaCl2 (1 mg), and heated with shaking at 50 °C for 10 min. The urine was then pipetted onto a Millipore 10 kDa spin filter column and centrifuged at 14000 rcf for 30 min at 4 °C. The filtrate (100 μL) was diluted with TM buffer (900 μL) and the electrode was immersed in the resulting solution at 55 °C for 1 h. Electrochemical detection data for miR-192 were normalised to those for miR-191 as we have detailed elsewhere.11
To investigate miRNA–DNA hybridisation at the electrode surface, biosensors specific for miR-21 or negative control miR-223 were fabricated. Sensors were then hybridised with a solution of biotinylated miR-21 RNA oligonucleotide (800 μL, 10−7 M) before rinsing and vortexing with TM buffer. Blocking, streptavidin addition (where appropriate), washing and analysis steps were then repeated as detailed above.
By contrast, Erdem et al. demonstrated multiplexed miRNA detection using a system containing 16 active surfaces with shared counter and reference electrodes,32 and in one case used this set up to detect multiple miRNA species simultaneously.33 However these multiplex miRNA detection techniques required a laborious magnetic bead separation procedure to isolate the miRNA targets prior to analysis, and were tested on synthetic miRNA solutions and not patient samples.
In contrast to the GCEs we used previously,24 we report here our design of SPCEs incorporating 3 separate working surfaces (Fig. 1 and 2) that shared a combined auxiliary and reference electrode (Fig. 2). This design increased functionality and throughput, facilitating triplicate readings of a single miRNA species (Fig. 2). As an alternative, we are currently investigating simultaneous detection of up to 3 different miRNA species.
SPCE degradation was observed during chlorination via PCl5 in acetone,24 impairing sensor function and thereby introducing a source of variability (data not shown). Following extensive testing, chlorination using PCl5/diethyl ether for up to 3 h was possible without visible SPCE damage or decreased biosensor response (see below).
Custom SPCEs were used for miR-21 biosensor fabrication as described above, and sensitivity was quantified using buffered miR-21 serial dilutions as shown in Fig. 3 TOP, Fig. S6 and S7 (ESI†). A linear response was observed between 10−8 M and 10−14 M (Pearson regression R2 = 0.98) that concurred with our previous GCE data.24 This value was obtained from pooling of data points taken over multiple sensor print cycles, thus including the effect of batch-to-batch variability in the error bars shown. An SPCE limit of detection of 17 fM compared favourably with our GCE value of 20 fM (Fig. 3 bottom, ESI Fig. S7†),24 and is on a par with other disposable miRNA electrochemical sensors in the literature.34,35 This limit of detection was calculated from 6 readings using a blank buffer solution containing no miRNA.
The calibration plot (Fig. 3) was produced from sensors taken over 4 separately printed cards of 9 electrodes each. Minor variations between SPCE replicates when plotting ΔQ against [miR-21], shown by the standard error of the mean (SEM) error bars, reflect card-to-card differences. Differential pulse voltammetry was also performed (ESI, Fig. S8 and S9†) to confirm, although this method showed greater variability so was not taken forward.
To test the utility of our SPCE biosensors to detect DKD biomarkers, we analysed miR-192 in patient and control urine samples. We have shown previously that miR-192 abundance decreases in biopsy samples from DKD patients.12 Our electrochemical data were compared to the results of parallel RT-qPCR analysis, with relative expression data for miR-192 normalised to those for miR-191 as we have described elsewhere.11 For both electrochemical and RT-qPCR detection, significant differences in miR-192 detection were observed between unaffected individuals and DKD patients (Fig. 4). Using our sensor, miR-192 expression with respect to miR-191 fell from a 1.54 fold change in the control cohort to 0.66 fold change in the patients. This was in good agreement with RT-qPCR analysis of the same samples which showed a decrease from 1.54 fold in the controls to 0.46 in the patients. Similarly, oxidative coulometry (ESI, Fig. S10†) showed the same change in effect, albeit slightly more pronounced, dropping from a 2.15 fold change in controls to 0.54 in the patients.
We then prepared a serial dilution series from one control urine sample and carried out coulometric analysis for miR-21 to control for interference from contamination with macromolecules such as proteins that might exhibit non-specific high affinity binding to the electrode surface. The linear relationship observed suggested that there was no significant contamination (ESI, Fig. S11†).
The effect of interference by proteins and small molecules has been referred to in other literature.36,37 To avoid these issues of non-specificity, a full extraction procedure is often used to isolate the miRNA prior to analysis,37–39 whereas “pre-treatment free” approaches often use synthetic miRNA spiked-in to the urinary matrix which is then analysed.36 Our simple proteinase K treatment avoids laborious full extraction procedures such as those we describe herein prior to RT-qPCR analysis, but facilitates direct urinary miRNA measurement in a simple, potentially scalable protocol.
In our previous work, we investigated the direct analysis of untreated urine as a biological matrix.24 From this we determined that salt and urea do not interfere, however protein in the form of bovine serum albumin (BSA) was problematic. We therefore implemented the aforementioned urine pre-treatment of proteinase K incubation and filtration. In this research we have also investigated the impact of uric acid as another potential interferent. Uric acid is normally excreted in urine at a level of 250–750 mg over a 24 h period. We found that uric acid at or above the normal range resulted in no interference. No change in response was observed when biosensors were submersed in uric acid solutions in the absence of miR-21. None of the uric acid solutions prevented or interfered with the response of the same sensor to 10−11 M miR-21 (ESI, Fig. S12 and S13†).
Spectrophotometric analysis at 450 nm (A450) | |||||
---|---|---|---|---|---|
(a) Non-biotinylated or biotinylated (bio) miR-21 biosensors | (b) Non-biotinylated miR-21/miR-223 biosensors + 5′-bio-miR-21 | ||||
Comp-miR-21 − S-HRP | Comp-miR-21 + S-HRP | 3′-Bio-comp-miR-21 + S-HRP | Comp-miR-21 − S-HRP | Comp-miR-223 + S-HRP | Comp-miR-21 + S-HRP |
a Baseline response − streptavidin has been subtracted from the data, values are expressed as mean ± SD (n = 3). Oligonucleotides' details are provided elsewhere (ESI, Fig. S1). | |||||
0.000a | 0.010 ± 0.002 | 0.123 ± 0.014 | 0.000a | 0.008 ± 0.003 | 0.091 ± 0.006 |
Firstly, a miR-21 biosensor was prepared using non-biotinylated or biotinylated DNA oligonucleotides complementary to miR-21 (Table 1a). Streptavidin-HRP conjugate was applied to one non-biotinylated biosensor and one biotinylated biosensor. A further non-biotinylated biosensor was not exposed to conjugate. Following blocking, colour development by immersion in TMB substrate solution, and sulfuric acid stop solution, a >12 fold increase in signal was observed using the biotinylated oligonucleotide-based biosensor (Table 1a), the predicted outcome if oligonucleotide attachment was successful.
The specificity of miR-21 detection was then investigated by comparing hybridisation of biotinylated miR-21 with non-biotinylated miR-21 and miR-223 biosensors (Table 1b). Following exposure to biotinylated miR-21 RNA, streptavidin treatment and spectrophotometric analysis, a >11-fold signal increase was observed for the miR-21 biosensor compared to its miR-223 counterpart (Table 1b). These data demonstrated that the biosensor DNA oligonucleotide-miR-21 interaction was specific.
In Fig. 5a, clear triangular layered steps and terraces are observed in the topography of the carbon ink at the unmodified SPCE surface. The surface steps are sharp, with a typical length of 1.75 μm. Following electrodeposition of ANSA onto the SPCE surface these triangular layers can still be seen, but appear smoother and more rounded (Fig. 5b). Following DNA attachment to the SPCE surface via sulfonamide linkage (Fig. 5c), completing the biosensor structure, the image shows surface coverage by numerous small round artefacts approximately 40 nm in diameter, conceivably single-stranded DNA oligonucleotide clusters (Fig. 5c). A similar image is obtained following hybridisation with the target miRNA (Fig. 5d), with prevalent surface coverage by slightly larger round bodies of approximately 90 nm diameter.
The final two images relate to the biosensor surface following immersion in urine, one sample of which was unprocessed (Fig. 5e) and one sample which had been processed with proteinase K and membrane filtration (Fig. 5f). In Fig. 5e the round bodies described above that covered the biosensor surface were generally localised to the corners and edges of the triangular layers, and were larger than bodies observed in Fig. 5d, measuring approximately 120 nm in diameter. By contrast, Fig. 5f shows rounded bodies of approximately 80 nm located closer to the centre of the triangular terraces, closely resembling those seen in Fig. 5d.
These observations are consistent with our previous work, where unprocessed urine interfered with the electrochemical response of our glassy carbon biosensor to miRNA hybridisation.24 These findings provide strong evidence that the use of proteinase K and spin filtration removed contaminating lipids and macromolecules such as proteins and thereby prevented fouling of the biosensor surface. This ensured unimpeded biosensor miRNA hybridisation and accurate electrochemical output. Selected wider field images captured throughout the fabrication process are provided in the ESI (Fig. S14†).
Footnotes |
† Electronic supplementary information (ESI) available. See DOI: 10.1039/d0ra09874d |
‡ These authors contributed equally to this work. |
This journal is © The Royal Society of Chemistry 2021 |