Loukia
Petrou
and
Sylvain
Ladame
*
Department of Bioengineering, Imperial College London, London, W12 0BZ, UK. E-mail: s.ladame@imperial.ac.uk
First published on 5th November 2021
Circulating microRNAs (or miRNAs) in bodily fluids, are increasingly being highlighted as promising diagnostic and predictive biomarkers for a broad range of pathologies. Although nucleic acid sensors have been developed that can detect minute concentrations of biomarkers with high sensitivity and sequence specificity, their robustness is often compromised by sample collection and processing prior to analysis. Such steps either (i) involve complex, multi-step procedures and toxic chemicals unsuitable for incorporation into portable devices or (ii) are inefficient and non-standardised therefore affecting the reliability/reproducibility of the test. The development of point-of-care nucleic acid tests based on the detection of miRNAs is therefore highly dependent on the development of an automated, on-chip, sample processing platform that would enable extraction or pre-purification of the biological specimen prior to reaching the sensing platform. In this review we categorise and critically discuss the most promising technologies that have been developed to facilitate the transition of nucleic acid tests based on miRNA detection from bench to bedside.
The biogenesis of miRNAs starts in the nucleus where following DNA transcription, the stem-loop precursor pri-miRNAs are cleaved to form pre-miRNAs which are then transported out of the nucleus through exportins.4 In the cytoplasm, the pri-miRNAs are cleaved into miRNA duplexes with the active strand binding to Argonaute proteins and the inactive strand being degraded.5 The association with Argonaute proteins allows the miRNAs to bind to mRNA and silence its translation into proteins either through degradation or ribosome stalling.6–8 miRNAs thus play an important role in post-transcriptional gene regulation and recently have also been identified as mediators for cell-to-cell communication as certain miRNAs are preferentially sorted into exosomes.9,10
The isolation of these biomarkers from bodily fluids poses unique impediments. They circulate mainly using the two main transport mechanisms mentioned previously which protect them from degradation while in circulation. Because of this they have enhanced stability in circulation which is however compromised as soon as they are released due to their exposure to endogenous ribonucleases (RNases) which has also been previously demonstrated when injecting synthetic miRNAs or miRNAs purified from plasma back into unprocessed plasma. This led to their rapid degradation highlighting their instability when extracted from their protective transporters.11 They are still more stable than longer RNAs such as mRNAs when exposed to RNases which further highlights their utility as biomarkers.12 Promising point-of-care (POC) techniques of nucleic acid isolation have been summarised previously.13–15 Given the emerging evidence of the clinical value of miRNAs as diagnostic or prognostic biomarkers, we will focus exclusively in this review on this specific class of molecular biomarkers and recent progress made towards their isolation from clinical samples. Fig. 1 summarises the workflow of the techniques discussed in this review to illustrate the types of samples used and how these are processed. This review will focus primarily on sample processing rather than sensing, although selected technologies that successfully combined miRNA extraction and detection will also be discussed.
Fig. 1 miRNAs and different locations from which they can be isolated showing any additional steps required in the extraction process. |
Despite some clustering observed when analysing miRNAs from a variety of bodily fluids, their relative and absolute concentrations may vary with urine and saliva yielding a smaller number of miRNAs than blood or plasma.20 Weber et al. looked at the miRNA expression in 12 different bodily fluids and found that saliva had the highest numbers of unique detectable miRNAs and while some abundant miRNAs can be identified across a variety of bodily fluids, some are enriched in certain types of samples.21 This has also been shown in forensic analysis that identified certain miRNA patterns to assist in identification of the source of a bodily fluid.22 It is notable however that differences exist in the miRNA concentration between samples of similar origin such as serum and plasma from the same individual. This could be explained by the association of miRNAs with platelets that are lost in the coagulation process to obtain serum but exact causes remain largely unclear, underlining the source of error blood sample processing represents on the miRNA profile obtained.23 The complexity involved in sample processing and miRNA sensing has been highlighted previously. The transporting mechanism of miRNAs (i.e. how many are within vesicles, bound to proteins or freely circulating) for each liquid biopsy remains elusive. Arroyo et al. looked into the transport mechanism in plasma and serum and determined that the main mechanism is Argonaute2 (Ago2) proteins with only a fewer proportion of miRNAs found in vesicles.24 Turchinovich et al. looked into the transport of miRNAs in plasma and cell culture media and agreed that extracellular miRNAs are primarily transported bound to Ago2.25 This however was contradicted by the findings of Gallo et al. who determined that most miRNAs in serum and saliva are actually found within exosomes.26 These studies highlight not only the complexity of the field but also the discrepancy in the literature due at least in part to the lack of standardised protocols and technologies for sample processing, miRNA extraction as well as detection.
Herein, we discuss a variety of techniques used for miRNA extraction and their incorporation into POC devices for down-stream detection. We highlight some emerging technologies and separate them into a) those that are carried out entirely off-chip, b) those that involve some off-chip processing, and c) those that have achieved on-chip miRNA isolation and sensing in a processing-free manner (or involving minimal processing) and hold the most promise for translation into clinical settings as POC devices.
There are also obvious differences stemming from where miRNAs are isolated from which bring about differences in protocols. As described by Pritchard et al., the yield is higher from cell lysates or tissues compared to bodily fluids and the extracted miRNAs are typically of higher quality.27 Bodily fluids pose an additional challenge due to the inherent RNase activity which could degrade any extracted miRNAs if the RNases are not deactivated at the same time. Since the isolation process involves the same main steps, we will be including kits that successfully carried out miRNA isolation from cells in this review as such protocols are amendable to miRNA extraction from other sources following optimisation. Although the methodology for isolating miRNA is mostly similar to that for isolating other RNA species (e.g. mRNA or lncRNA), miRNA isolation involves specific enrichment of smaller RNAs.28 This can be achieved through gel-purification, but more recent methods harnessed by kits involve column-based techniques.
Name of kit | Phenol/chloroform extraction | Type of miRNA purification | Type of sample | Amount of sample required | Steps on protocol | Time requireda | Cost per sampleb |
---|---|---|---|---|---|---|---|
a Total time is an estimate given the steps and times supplied on the protocol as well as information provided by the supplier. b Cost per sample does not include the cost of additional reagents required and not supplied by the kit, or DNA spike-ins to normalise result. It is calculated as a minimum taking into account the least amount of sample/reagents required as well as using the kits that allow for the maximum samples (50 samples for most kits). In cases where more sample is required the price can be as much as 3× higher per sample than the one displayed in the table. | |||||||
miRNeasy serum/plasma kit (QIAGEN) | Yes | Chemical and column-based | Serum/plasma | 200 μL | 15 steps | 40 min | £8.0 |
miRNeasy serum/plasma advanced kit (QIAGEN) | No | Column-based | Serum/plasma | 200 μL | 12 steps | 25 min | £6.0 |
Ambion® PureLink™ miRNA isolation kit (Invitrogen) | No – chloroform is optional for larger tissue amounts | Column-based | Cells | <106 cells | 24 steps | 20 min | £8.4 |
<5 mg tissue | |||||||
MagMAX mirVana total RNA isolation kit (Applied Biosystems) | No – chloroform is optional | Magnetic beads | Blood | 50 μL | 17 steps | 90–120 min | £4.3 |
Tissue | 50 mg | 12 steps | |||||
Plasma/serum | 100 μL | 17 steps | |||||
Urine | 250 μL | 13 steps | |||||
TaqMan™ miRNA ABC purification kit (ThermoFisher scientific) | No | Magnetic beads | Blood | 10 μL | 23 steps | 75 min | £10.8 |
Plasma/serum | 50 μL | 22 steps | |||||
Cells | 10–106 cells | 22 steps | |||||
Saliva | 50 μL | 23 steps | |||||
Urine | 50 μL | 23 steps | |||||
mirPremier microRNA isolation kit (Sigma-Aldrich) | No | Column-based | Cells | 0.1–7 × 106 cells | 13 steps | 30 min | £5.4 |
Total RNA purification kit (Norgen Biotek) | No | Column-based | Blood | 100 μL | 14 steps | 15 min | Not available |
Exosome miRNA extraction kits | |||||||
miRCURY exosome kit (QIAGEN) | No | Column-based | Plasma/serum | 500–1400 μL | 8–11 steps | 100 min | £6–£16; |
Urine/cells/cerebrospinal fluid | 1–10 mL | 8 steps | £2.4–24 | ||||
exoRNeasy serum–plasma Midi kit (QIAGEN) | Yes | Column-based | Plasma/serum | 0.1–1 mL | 19 steps | 60 min | £18.2 |
The use of toxic reagents such as phenol and chloroform for extraction, necessitates careful handling by trained personnel in a lab-based facility and thus limits translation into a POC device. The same applies to centrifugations which are a recurrent key step in most commercial kits and prevent direct implementation into a POC device. Recent attempts have been made to develop kits with no such chemical extraction requirements, but similar extraction capacities that are included in Table 1.
From Table 1, the average time required by kits for miRNA extraction was 52 min with the average number of steps being ∼17 and average cost per sample of ∼£9.47 (minimum based on kits for many samples). One of the kits (miRNeasy) involved phenol–chloroform extraction which has now been updated (miRNeasy Advanced) and no longer necessitates the use of such chemicals. Another extraction strategy that bypasses the need for phenol–chloroform extraction is that used by MagMAX mirVana total RNA isolation kit (Applied Biosystems) and Taqman miRNA ABC purification kit (ThermoFisher). Both kits use magnetic beads coated with oligonucleotides to selectively isolate broad panels of miRNAs. Such kits have technical limitations including their reliance on costly equipment (especially in the case of MagMAX), a rather limited capturing efficiency limited to the extraction of only currently known miRNA sequences. It is worth noting however that all kits require the use of guanidinium thiocyanate for the extraction step irrespective of sample type. This chaotropic salt is involved in the break-down of extracellular vesicles and proteins to allow miRNA release.
Previous reports have also shown that there is a lot of variability between the kits and miRNA is not always reliably extracted despite the use of spike-in controls.32,33 In the absence of a standardised protocol used by all labs, specific studies may be influenced by the miRNA isolation method used, making comparisons between studies challenging, if not impossible.34 There have also been reports that using these kits might result in partial loss of miRNAs with low GC content.35 When directly compared to each other, there does not appear to be a single most effective kit for miRNA isolation and the selection of kits generally is dictated by the type of sample and convenience.36 Finally, steps to automate extraction using the such kits have been made using a bench-top device which however would bring up the cost by thousands of pounds, making it an inaccessible option for most.
However, the main limitation of such kits is the variability and lack of reliability introduced through sample loss during the extraction process. This means that even if the kits were to be automated, unless the detection method was able to normalise the results using an internal control, the kits are limited by their lack of consistency.
Fig. 2 Visual summary of the off-chip miRNA extraction methodologies explored in this review and the utilised samples to achieve this: A) polymer-based exosome entrapment,45 B) PDMS functionalised with anti-CD-63 antibodies for exosome entrapment,47 C) capillary electrophoresis,42 D) titanium dioxide nanofibers for miRNA isolation,41 E) advanced glass membrane column for EV entrapment,46 F) single bead trapping array for exosome isolation (using anti-CD-63 antibodies), G) EpCAM aptamer-coated magnetic nanoparticles for exosome isolation.44 |
Finally, some groups have focused more on miRNA extraction specifically from exosomes and developed ways of extracting exosomes for subsequent miRNA quantification. Tayebi et al. proposed a method of exosome purification using microfluidic hydrodynamic trapping through combining immunoaffinity to confine exosomes to polystyrene microbead surfaces, with passive trapping through microfluidic channels. The sample used was cell supernatant containing exosomes and phenol–chloroform extraction was used prior to miRNA detection by RT-qPCR.43 Zhou et al. used Fe3O4@SiO2-aptamer nanoparticles to separate exosomes via magnetic separation in solution and demonstrated the utility of this method in both saliva and urine by subsequent detection on a lateral flow assay (LFA), later confirmed by RT-qPCR.44 Grunt et al. proposed a method of exosome extraction involving a mannurate–guluronate polymer to entrap and enrich exosomes from plasma, serum, urine and cell samples. For miRNA release, chaotropic salts were added and although successful the overall process remained very labour-intensive.45 Yukawa et al. took advantage of spinoidal decomposition to form a co-continuous structure to allow extracellular vesicle isolation in just 10 minutes.46 However, for subsequent miRNA extraction, commercial kits were used underlining that although a step in the right direction, this again falls short of the requisites for an on-chip miRNA extraction kit. Kanwar et al. used a chip made of PDMS that was functionalised with antibodies against CD63 (commonly over-expressed on the surface of exosomes). This allowed on-chip capturing of exosomes from serum. The exosomes were then quantified on-chip but detection of miRNAs was achieved by RT-qPCR following miRNA extraction by extraction kits.47
These recently developed techniques show a lot of promise and appear easier to translate into a POC device owing to their simplistic nature and incorporation of well-established techniques. They are, however, currently at an early stage of development and still require off-chip sample pre-processing.
Fig. 3 Hybrid methods (off- and on-chip components) of miRNA extraction: A) acoustic waves and seeding particles for EV entrapment,55 B) electrophoresis in buffer through nanofilter membrane,57 C) thermo-electric cell lysis,51,58 D) electrophoretic miRNA purification,58 E) isotachophoresis which involves the movement of a leading electrolyte (green) and a trailing electrolyte (blue),50 F) magnetic particles for removal of larger nucleic acids in the process of miRNA isolation.48 |
Slouka et al. used electrophoresis as a sample pre-treatment method following cell lysis. This was then followed by concentration of the miRNAs using a cation exchange membrane.49 Similarly, Schoch et al. used isotachophoresis with an incorporated sieving matrix to extract, isolate and preconcentrate small RNAs, including miRNAs, from cell lysates.50 The methodologies included an off-chip cell lysis procedure which was based on lysis buffers and chloroform. Dame et al. reported the use thermo-electric cell lysis followed by on-chip gel electrophoresis for miRNA separation. When compared with the mirVana kit, their method reportedly allowed 100× higher yield/efficiency when comparing the final eluates by RT-qPCR detection.51 Wei et al. also harnessed the utility of microchip electrophoresis for miRNA filtering following off-chip cell lysis by ultrasonication and centrifugation and achieved very high recoveries (94.9–108%).52 Although these electrophoretic methods seem promising, they still require manual handling at times and are thus not entirely on-chip extraction methods.
Qian et al. performed ultracentrifugation to isolate exosomes from either cell lysate or spiked into exosome-depleted serum, prior to adding the sample onto their device where they were enriched by an agarose fork-shaped microchannel through a passive capillary force. Following addition onto the device, the process of miRNA isolation including sensing via catalysed hairpin assembly took 10 minutes.53 Although quick and capable of detecting exosomal miRNAs from serum, this method in its current state requires a fair amount of sample pre-processing prior to addition onto the device and thus necessitates further optimisation.
Another approach to miRNA extraction was that developed by Deng et al. This method involves a foldable, multi-layer paper chip to extract, purify and detect miRNAs following off-chip cell lysis. Although the process took 90 min, it demonstrated great promise in its ability to achieve multiplex miRNA analysis.54
Lee et al. used electrophoresis to extract miRNAs from serum samples through a nanofilter membrane and demonstrated comparable miRNA Cq values using RT-qPCR to a commercially available miRNA extraction kit, with the whole process of on-chip extraction lasting around 30 min.57 Behrmann et al. incorporated thermoelectric lysis onto a microfluidic device in order to extract miRNAs directly from cells which was followed by gel electrophoresis to isolate them. When compared to the mirVana isolation kit (Ambion), the chip's performance was miRNA-dependent, performing 110–220 times better for miR-16 and 8.5–14 times better for let-7a (in terms of Ct values obtained). The chip was able to extract miRNAs successfully for detection by stem-loop RT-qPCR from as little as 5 cells.58
Fig. 4 Visual summary of on-chip methods of miRNA extraction: A) miRNA encapsulated in microdroplets,60 B) magnetic single-droplet extraction where the serum sample (yellow) form hyperbranched DNA-iron oxide networks into the organic phase (pink) as they are magnetically attracted to the extraction solvent (blue) held by a magnetic rod (grey),59 C) magnetic beads coated in anti-CD-63 antibodies for exosome isolation,61,62 D) surface acoustic waves for extracellular vesicle lysis.63 |
Tang et al. developed a new method of single-drop microextraction whereby the analyte is transferred into a small drop of extraction solvent. This was integrated into a magnetic three-phase single-drop microextraction which enabled release and subsequent detection of miRNAs through triggering the formation of hyperbranched DNA-iron oxide networks. When applied to the detection of miRNAs from serum samples, it allowed researchers to distinguish between samples from healthy volunteers and those from patients with hepatocellular carcinoma with only 6 seconds required for extraction and 5 minutes for detection.59 Zhang et al. demonstrated the usefulness of microencapsulation in combination with a particle counter for digital analysis to detect miRNAs directly from plasma in less than 3 hours and down to 10 single copies of miRNA. The device was able to detect miRNA with a limit of detection of about 50 copies per mL of plasma and was thus able to distinguish healthy donor samples from those originating from patients with metastatic colon cancer based on detection of Let-7a levels.60
Cheng et al. and Huang et al. used anti-CD63 antibody coated magnetic beads to first bind to and then extract extracellular vesicles (EVs) from plasma.61,62 Cheng et al. incorporated the beads onto a microfluidic device and included a miRNA extraction component following EV extraction which involved EV lysis followed by capturing of the miRNAs of interest on magnetic beads coated with complementary DNA and allowed for detection down to 1 fM concentrations of miRNA using a field-effective-transistor (FET). A pneumatic-driven microfluidic device allowed automation of the aforementioned steps into an all-encompassing device for the detection of cardiovascular disease-specific miRNAs.61 Huang et al. used the same method of extraction and detection and demonstrated the utility of the device in breast cancer diagnosis.62
Ramshani et al. used an integrated microfluidic device to detect both free-floating and EV-specific miRNAs directly from plasma in 30 min. This was achieved using surface acoustic waves (SAW) to break down the EVs.63 It was previously shown that these waves, generated by electrodes, are capable of lysing both cells and exosomes to release incorporated nucleic acids.64,65 Following this lysis step, the miRNAs were concentrated using cation-exchange membranes and detected using anion-exchange membranes. To detect free-floating miRNAs, the same procedure was followed while the SAW-producing component was switched off. The device was able to generate similar results to conventional methods of extraction and detection by RT-qPCR in a fraction of the time and in a processing-free manner.63
Finally, certain sensing technologies have been developed that do not necessitate any sample pre-processing and allow detection of miRNAs directly in un-processed samples. By-passing sample pre-processing often requires sensing technologies that are both ultrasensitive (most typically with single molecule resolution) and highly specific, to detect the miRNA of interest in complex biological matrices. The absence of processing, however, may also mean that only free-circulating miRNAs can be detected, exosomal miRNAs or miRNAs involved in protein complexes being out of reach.
Cai et al. were able to detect miRNAs from the serum of prostate cancer patients using electro-optical nanopore sensing. The technology was sensitive and specific enough to distinguish patients with active disease from those in remission through multiplex miRNA profiling.66 Tavallaie et al. used gold-coated magnetic nanoparticles (Au@MNP) and electric-field-induced assembly of the DNA-Au@MNP network to detect microRNAs directly in blood in around 30 min. This allowed for detection of miRNAs from 10 aM–1 nM (in line with RT-qPCR) and was able to detect small differences in miRNA levels within blood samples obtained from mice with growing tumours.67 Kangkamano et al. used pyrrolidinyl PNA polypyrrole/silver nanofoam electrodes for electrochemical miRNA sensing. This allowed for detection of miRNA directly from plasma in the range of 0.2 fM–1 nM with a hybridisation time of 5 min,68 which is a lot faster than other similar label-free electrochemical miRNA biosensors reported.69–77 McArdle et al. used electrocatalytic platinum nanoparticles to detect miRNAs directly from human plasma and CSF on a centrifugal microfluidic device. This device was able to detect differences in miR-134 expression levels between control samples from healthy volunteers and those obtained from patients with refractory epilepsy or non-epileptic patients who experienced status epilepticus.78
All technologies mentioned in this review provide to some extent an alternative to the current costly, time-consuming and elaborate miRNA extraction kits (Table 2). They are also new tools made available to researchers to better understand the life cycle of miRNAs in bodily fluids. Fundamental questions such as miRNA compartmentalisation or protein complexation are critical to help develop new diagnostic or prognostic tests that are fit for purpose. For example, methodologies allow for isolation of miRNAs specifically from EVs43,46,47,53,55,59,61–63 while others are less selective toward the source of miRNAs, opening doors to both EV-specific and total miRNA biomarkers. Other technologies sensitive enough to detect miRNAs directly from bodily fluids will however be targeting a different pool of biomarkers, those miRNAs that are freely circulating. Some recurrent approaches used electrophoretic methods for miRNA isolation/purification,49–52,57 beads for extracellular vesicle isolation based on surface functionalisation43,61,62 as well as acoustic waves for either EV lysis63 or EV entrapment.55
Liquid biopsy or cells? | Biofluid/cell lysate | Disease targeted | Biofluid processing method for miRNA isolation | Control used (e.g. commercial kit) | Efficacy compared to control | Analysis/extraction time | Amplification required? | Sensing method | Ref. |
---|---|---|---|---|---|---|---|---|---|
Off-chip miRNA extraction | |||||||||
Both | Serum and cell lysate | NA | TiO2 nanofibres | Silica columns, beads and fibres | 4.2× better than the best performing control (silica fibres) | ∼20–25 min extraction | Yes | RT-qPCR | 41 |
Liquid biopsy | Serum | Liver cancer | Protein-facilitated affinity capillary electrophoresis | NR | NA | 20 min | No | Laser-induced fluorescence | 42 |
Cells | Cell lysate | NR – stressed or not cells | Single-bead trapping arrays | NR | NA | NR | Yes | RT-qPCR | 43 |
Both | Lung cells, urine and saliva | Lung cancer | Fe3O4@SiO2-Aptamer nanoparticles | NR | NA | NR | Yes – duplex-specific nuclease | Fluorescence on LFAs | 44 |
Liquid biopsy | Plasma and serum | NR | MGP-based polymer for exosome entrapment | Total exosome RNA and protein isolation kit (Invitrogen) | Higher reproducibility | NR | Yes | RT-qPCR | 45 |
Liquid biopsy | Serum, urine and cells | NA | Advance glass membrane column (AGC) with macropores for EV isolation | Ultracentrifugation, ExoCap and ExoQuick | Higher number of distinct miRNAs detected using AGC than others | 10 min for EV extraction | Yes | RT-qPCR | 46 |
Liquid biopsy | Serum | Pancreatic cancer | PDMS functionalized with antibodies against CD63 | NR | NA | NR | Yes | RT-qPCR/miRNA Openarray | 47 |
Hybrid miRNA extraction and detection | |||||||||
Liquid biopsy | Serum | Hepatocellular carcinoma | Electrophoresis through nanofilter membrane | miRNeasy serum/plasma kit (Qiagen) | Comparable Ct values | 30 min for extraction | Yes | RT-qPCR | 57 |
Liquid biopsy | Urine | NA | Acoustic trapping for EV enrichment | Ultracentrifugation | Higher miRNA reads | NR | Yes | NGS | 55 |
Cells | Breast cancer cells | Breast cancer | Thermo-electric lysis of cells | mirVana kit (Ambion) | Comparable | NR (<5 min) | Yes | RT-qPCR | 51 |
Cells | Cell lysate | Breast cancer | Thermo-electric lysis of cells + on-chip gel electrophoresis | mirVana kit (Life Tech.) | 100× higher yield/efficiency | 10 min extraction | Yes | RT-qPCR | 58 |
Cells | Cell lysate | NA | Solid phase extraction by silica magnetic particles | PureLink™ miRNA isolation kit (Invitrogen) | Identical | 15 min | Yes | On-chip RT-qPCR | 48 |
Cells | Cell lysate | NA | Isotachophoresis after off-chip cell lysis | NR | NA | 170 s ± 10% | NA – no specific miRNAs were detected | Epifluorescent microscope | 50 |
Cells | Cell lysate | Cancer diagnostics (miRNAs for lung cancer) | Off-chip cell lysis. miRNAs captured on paper-based device | NR | NA | 90 min (for the entire process) | Yes – HP-EXPAR | Quantum dots for optical sensing | 54 |
Cells | Cell lysate | Bladder cancer | Off-chip cell lysis. Filtering of miRNA by microchip electrophoresis | NR | NA | NR (60 min incubation time) | No | Laser-induced fluorescence | 52 |
Cells | Cell lysate | NR | Enrichment via agarose fork-shaped microchannel (after ultracentrifugation for exosome isolation) | NR | NA | 10 min on chip (with preparation beforehand) | No | Catalysed hairpin assembly | 53 |
Cells | Cell lysate | Head and neck squamous cell carcinoma | Chemical lysis and electrophoresis through agarose | NR | NA | 30 min total (incl. 15 min for separation only) | No – preconcentration unit incorporated | Anion exchange membrane via surface inversion | 49 |
On-chip miRNA extraction and detection | |||||||||
Liquid biopsy | Serum | Hepatocellular carcinoma | Magnetic three-phase single-drop microextraction | NR – used spike in to monitor efficacy | NA | 6 s for extraction and 5 min for detection | Yes – hyperbranched DNA/Fe3O4 networks | Spectrophotometric detection | 59 |
Both | Breast cancer cells and plasma | Cardiovascular disease | Magnetic beads coated with anti-CD63 for EV extraction | NR – calculated efficiency of extraction | NA | 5 h (240 min EV extraction, 20 min for miRNA isolation and 5 min FET-based microRNA detection) | No | Field effect transistor | 61 |
Liquid biopsy | Plasma | Breast cancer | Magnetic beads coated with anti-CD63 for EV extraction | NR | NA | NR | No | Field effect transistor | 62 |
Liquid biopsy | Plasma | Colon cancer | miRNAs encapsulated in microdroplets | miRNeasy serum/plasma kit (Qiagen) | 2–3 orders of magnitude lower LOD than RT-qPCR | 3 h total | Yes – isothermal exponential amplification (EXPAR) | Fluorescence | 60 |
Liquid biopsy | Plasma and serum | Cancer diagnostics (miRNAs for pancreatic/lung cancer) | Surface acoustic waves for EV lysis | miRNeasy serum/plasma kit (Qiagen), ExoQuick® (System Biosciences Inc.) | Comparable | 30 min | No | Ion exchange membrane | 63 |
Which technology has the greatest potential is a question that cannot yet be answered with our current knowledge. But it is clear that a diversity of approaches and platforms is needed to improve our understanding of circulating cell-free miRNAs and develop new tests to detect them, at the POC or in research facilities. Whilst this review focused primarily on sample processing and miRNA extraction, how much processing and pre-purification is required in a POC nucleic acid will also be dictated by the nature of the chosen detection methodology. When ultrapure miRNA extracts are typically needed for most PCR-based tests, new on-chip miRNA sensing technologies are also being developed that are increasingly compatible with complex biological matrices and would therefore require less stringent processing prior to analysis. Processing and detection are strongly connected and only the best combinations will stand a chance to be implemented in clinical practise, providing novel routes to early diagnose as well as providing insights for better clinical management. With specific miRNA deregulation being associated with an increasingly large number of medical conditions including most cancer types, cardiovascular diseases, neurological disorders and infectious diseases,1–3 the need for new nucleic acid tests has never been more urgent.
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