Next Article in Journal
Biosensing Amplification by Hybridization Chain Reaction on Phase-Sensitive Surface Plasmon Resonance
Previous Article in Journal
Siphon-Controlled Automation on a Lab-on-a-Disc Using Event-Triggered Dissolvable Film Valves
 
 
Font Type:
Arial Georgia Verdana
Font Size:
Aa Aa Aa
Line Spacing:
Column Width:
Background:
Article

Rapid Detection of Pathogens in Wound Exudate via Nucleic Acid Lateral Flow Immunoassay

1
Laboratory for MEMS Applications, IMTEK—Department of Microsystems Engineering, University of Freiburg, Georges-Koehler-Allee 103, 79110 Freiburg, Germany
2
Department of Trauma-, Hand- and Reconstructive Surgery, University Hospital Frankfurt, Johann Wolfgang Goethe University, Theodor-Stern-Kai 7, 60590 Frankfurt am Main, Germany
3
Hahn-Schickard, Georges-Koehler-Allee 103, 79110 Freiburg, Germany
*
Author to whom correspondence should be addressed.
Submission received: 4 February 2021 / Revised: 24 February 2021 / Accepted: 3 March 2021 / Published: 6 March 2021
(This article belongs to the Section Biosensors and Healthcare)

Abstract

:
The rapid detection of pathogens in infected wounds can significantly improve the clinical outcome. Wound exudate, which can be collected in a non-invasive way, offers an attractive sample material for the detection of pathogens at the point-of-care (POC). Here, we report the development of a nucleic acid lateral flow immunoassay for direct detection of isothermally amplified DNA combined with fast sample preparation. The streamlined protocol was evaluated using human wound exudate spiked with the opportunistic pathogen Pseudomonas aeruginosa that cause severe health issues upon wound colonization. A detection limit of 2.1 × 105 CFU per mL of wound fluid was achieved, and no cross-reaction with other pathogens was observed. Furthermore, we integrated an internal amplification control that excludes false negative results and, in combination with the flow control, ensures the validity of the test result. The paper-based approach with only three simple hands-on steps has a turn-around time of less than 30 min and covers the complete analytical process chain from sample to answer. This newly developed workflow for wound fluid diagnostics has tremendous potential for reliable pathogen POC testing and subsequent target-oriented therapy.

Graphical Abstract

1. Introduction

Wound infections are a major problem for patients and the healthcare system. Surgical site infections (SSIs), for example, are responsible for about 24% of all health care associated infections in Germany. In the United States, the overall incidence of SSIs has been estimated to be about 2–5% (the rates can vary substantially depending on the procedure), corresponding to approximately 160,000–300,000 SSIs per year. SSIs lead to an increased length of hospitalization and higher morbidity rates, thereby posing a significant financial burden on public healthcare systems [1,2,3].
Thus, there is a clear need for methods that enable a fast and early detection of wound infection at the point-of-care (POC). Thus far, the gold standard for most infectious diseases is the tedious and time-consuming isolation and identification of pathogens in culture. Pathogen identification by nucleic acid amplification tests (NAATs) is faster and the method of choice for the detection of difficult-to-culture or non-cultivable microorganisms. NAATs like the polymerase chain reaction (PCR) are rather expensive, requiring specialized devices and sophisticated infrastructure [4]. A rapid test for pathogen detection and identification would provide a decision tool for a fast target-oriented therapy using specific antibiotics and antimicrobial substances, substantially advantageous compared to therapy decisions based on clinical presentation and empiric treatment only. This can improve the clinical outcome significantly and, in addition, prevent overuse of certain antibiotics, which can lead to resistance formation and other side-effects [5,6,7].
Wound exudate can be collected in a non-invasive way and is an attractive sample material for the detection of pathogens in infected wounds [8,9]. This bodily fluid is derived from plasma, and is comprised of a high amount of protein, inflammatory cells and other components. The high complexity and heterogeneity of this particular sample matrix may inhibit amplification reactions and makes the direct analysis of pathogens challenging [10]. Therefore, the amplification method of choice needs to be robust against known inhibitors, and the validity of the test result has to be tightly controlled by including an internal amplification control (IAC) [11].
The ideal POC test would allow the qualitative detection and identification of pathogens in wound exudate with a minimum of hands-on steps and a simple readout. Furthermore, the approach needs to cover the entire process chain consisting of: sample preparation (bacterial lysis), sample processing (target DNA amplification) and detection (of the amplified product) [12,13]. In recent years, several strategies have been developed for the rapid detection of pathogens in bodily fluids based on microfluidic [14,15,16] and biosensor approaches [17,18,19]. In this regard, lateral flow assays (LFAs) are highly attractive tools because they are inexpensive to produce and widely accepted by users and regulatory authorities [8,20,21]. The combination of paper-based microfluidic technology with isothermal nucleic acid amplification methods significantly contributed to the development of paper-based POC NAATs [22]. Initial approaches have been developed for the detection of pathogens from complex samples like whole blood [23,24,25,26], cerebrospinal fluid [27], saliva [28,29], swab samples [30,31,32,33], semen [34], or stool [35,36]. To the best of our knowledge, paper-based detection of pathogens in wound exudate has not been demonstrated so far.
Among the isothermal amplification methods that can be interacted with LFA-based analysis, especially the recombinase polymerase amplification (RPA) has gained in importance as a cost-effective and reliable technology for POC diagnostics [37]. In the last years several articles were published that successfully combined RPA and LFA [36,38,39,40,41,42,43,44,45,46,47,48,49,50,51,52,53,54,55,56,57,58,59]. However, only a minority of them showed direct amplification of target nucleic acids from crude lysate [45,46,47,48,49,50]. Most of these publications used purified nucleic acids [38,39,40,41,42,43,44] or commercial nucleic acid isolation kits [36,51,52,53,54,55,56,57,58,59] that require at least 6–13 hands-on steps and/or substantial sample preparation time (10–60 min), which adds to the total process time. Thus, these workflows do not meet the requirements of a rapid and simple POC test.
To address the need for a reliable POC test for the detection of pathogens in wound exudate, we developed a streamlined protocol with only three simple hands-on steps and a sample-to-result turnaround time of less than 30 min. The simplicity of the novel paper-based approach for wound fluid analysis is a result of integrating compatible reactions into a single reaction pathway. The assay strategy reported here combines lysis of the pathogens via bead beating, amplification of the genomic DNA (gDNA) from crude lysate via RPA and detection of the amplicon via nucleic acid lateral flow immunoassay (NALFIA). The workflow was tested and evaluated using human wound exudate spiked with Pseudomonas aeruginosa (P. aeruginosa).
P. aeruginosa is one of the most common pathogens that cause infection and delay healing in acute or chronic wounds [60,61,62]. In general, it is believed that a microbial load of >105 colony forming units (CFU) per g of tissue, or mL of fluid is required for a wound infection and thus has been accepted by many as a critical value for diagnosing wound infection [63,64,65,66]. Therefore, a qualitative rapid test for the detection of pathogens in wound exudate with a limit of detection (LOD) of 105 CFU per mL would offer a fast decision tool to (1) decide if a wound is infected and (2) start a target-oriented therapy using specific antibiotics. The here described approach serves to successfully detect P. aeruginosa in less than 30 min, achieving a LOD of 2.1 × 105 CFU per mL in wound exudate.

2. Materials and Methods

2.1. Reagents

The recombinase polymerase amplification kit (TwistAmp® nfo kit) was obtained from TwistDx Limited (Cambridge, UK). Primers and probes were obtained from Biomers (Ulm, Germany) and the internal amplification control DNA was purchased from BioCat GmbH (Heidelberg, Germany). The sheep anti-digoxigenin antibody was obtained from Bio-Rad AbD Serotec GmbH (Puchheim, Germany) and Polystreptavidin (Polystrept R) was obtained from BioTeZ Berlin Buch GmbH (Berlin, Germany). The rabbit anti-DNP antibody, donkey anti-sheep IgG antibody and the carboxylate-modified microspheres (FluoSpheresTM, 0.2 µm, red fluorescent (580/605)) were purchased from Life Technologies GmbH (Darmstadt, Germany). The lateral flow dipstick material (Backing card, nitrocellulose membrane CN140 and absorption pad CF5) was obtained from Kenosha (Amstelveen, The Netherlands), Sartorius AG (Goettingen, Germany), and GE Healthcare Life Science (Freiburg, Germany), respectively. Glass beads (0.1 mm) were purchased from Scientific Industries Inc. (Bohemia, NY, USA).

2.2. Bacterial Strains and Culture Media

P. aeruginosa (DSM 1117) and its genomic DNA were obtained from DSMZ GmbH (Braunschweig, Germany). For specificity validation experiments, the following panel was used: Staphylococcus aureus (S. aureus, DSM 25923), Staphylococcus epidermidis (S. epidermidis, DSM 1798), Streptococcus agalactiae (S. agalactiae, DSM 2134), Escherichia coli (E. coli, DSM 6897), Klebsiella pneumoniae (K. pneumoniae DSM 30104), Enterococcus faecalis (E. faecalis, DSM 2570), and Proteus mirabilis (P. mirabilis, DSM 4479). All microorganisms were grown on LB agar plates and LB broth at 37 °C. Bacterial concentration was determined via serial dilution plating on LB agar plates. For P. aeruginosa, OD600 measurements were conducted, followed by plating of serial dilutions of the culture to correlate both parameters by linear regression analysis (see supplementary data Figure S1).

2.3. Spiked Wound Exudate

Wound exudate was taken from patients after informed consent and approval of the local ethics committee (Ethik-Kommission des Fachbereichs Medizin der Johann Wolfgang Goethe-Universität, Project number 111/17; Ethik-Kommission der Albert-Ludwigs-Universität Freiburg, Project number 28/17). Exclusion criteria were age younger than 18 years, urgent administration of major intravenous volume resuscitation, corticoid therapy, preoperative chemotherapy or radiotherapy, and infectious diseases. To keep the wound exudate comparable, only non-infected patients with a distal radial fracture and subsequent open reduction and internal fixation with wound drainage were included in the study. Sample collection was performed by puncturing the silicone tubes leading to the collection container. About 10 mL of fresh wound fluid was drawn off in a sterile syringe and placed directly on ice after the procedure. After collection, cellular content was removed by centrifuging at 800× g for 10 min in a refrigerated centrifuge. The wound exudate was then aliquoted into screw-cap tubes and stored at −80 °C until use. Prior to the measurements, the aliquots were gently thawed in a water bath. Due to the high heterogeneity of the biological sample wound exudate was pooled and spiked with P. aeruginosa (1.5 ± 0.4 × 104–1.5 ± 0.4 × 107 CFU/mL) where indicated.

2.4. Procedure of Bacterial Lysis

Bead beating was used to lyse the bacterial cells. To this end, 800 µL cell suspension (bacteria in PBS or wound exudate containing 10% (v/v) LB broth) was transferred into 2-mL top screw tubes containing 800 mg glass beads (0.1 mm). Lysis was performed using the Precellys® bead-beating homogenizer (Bertin Technologies, Montbonnot-Saint-Martin, France) at 6800 rpm, for two cycles of 20 s on and 30 s off. Subsequently, the crude lysate was added directly to the RPA-reaction mix.

2.5. Design of Primers, Probes and Internal Amplification Control

Primers and probes were designed according to the TwistAmp® instruction manual [67] from TwistDx Limited (Cambridge, UK). The target sequence was a highly conserved region of the lasB gene of P. aeruginosa [68]. The National Center for Biotechnology Information’s (NCBI) Blast tool [69] and primer-blast tool [70] were used for primer design, while the specific nfo-probe was adapted manually. Free energy calculations and secondary structure predictions were performed using the software OligoPAD (Version 0.3.0.2, GNWI mbH, Dortmund, Germany). Primer and probe sequences are indicated in Table 1. The set of lasB specific primers (lasB-fwd and lasB-rev primer) and a matching probe (lasB-probe) give rise to a single-labeled (digoxigenin) 161 bp product and a double-labeled (digoxigenin and biotin) 123 bp product. Only the double-labeled product can be detected via lateral flow assay.
Furthermore, a competitive internal amplification control (IAC) was designed to exclude false negative results (see Figure 1). The practical considerations of IAC design for diagnostic applications are well discussed by Hoorfar et al. [11]. The IAC-DNA consisted of a 61 bp fragment of a coding region of the hemorrhagic septicemia virus from rainbow trout (fish virus DNA) (accession no. X66134) and is flanked by lasB primer binding sites. The same primer pair (lasB-fwd primer and lasB-rev primer) was used to amplify the target DNA (lasB, P. aeruginosa) and the IAC-DNA. A specific probe (IAC-probe) was used to hybridize to the fish virus DNA sequence of the IAC-DNA. Probe and primers were again checked for specificity, dimer and hairpin formation. The set of primers and IAC-DNA specific probe (IAC-probe) produce a single-labeled (digoxigenin) 192 bp product and a double-labeled (digoxigenin and DNP) 138 bp product.
To determine the specificity of primers and probes, the gDNA of the respective microorganisms mentioned above was isolated via DNeasy PowerLyzer Microbial Kit from Qiagen GmbH (Hilden, Germany) and stored at −20 °C until use. Figure S2 (see supplementary data) indicates that primers (lasB-fwd primer and lasB-rev primer) and probes (lasB probe and IAC-probe) were binding specifically to their target and showed no cross-reaction with other microorganisms.

2.6. Synthesis of Antibody-Conjugated Fluorescence Microspheres

The sheep anti-digoxigenin antibody was conjugated to 0.2 µm sized carboxylate-modified microspheres using EDC/NHS chemistry. Therefore, 7 µg antibody was dissolved in MES buffer (50 mM, pH 5.5). Next, 100 µg of the microspheres and 2 µg EDC and 2 µg NHS were added. The suspension was adjusted to a final volume of 400 µL and incubated on a rotary mixer at room temperature for 2 h. To quench the reaction, 300 µg glycine was added, and the reaction mix was incubated for another 30 min. After centrifugation for 8 min at 14,000 rpm the anti-digoxigenin-conjugated microspheres were washed once with storage buffer (1× PBS containing 0.05% (v/v) Tween 20, 0.5% (w/v) biotin-free BSA). Finally, the functionalized beads were resuspended in 100 µL storage buffer (to yield 0.1% bead solid) and stored at 4 °C until use.

2.7. Assembly of the Lateral Flow Dipstick

For the fabrication of lateral flow dipsticks, the backing card (4 × 30 cm), nitrocellulose membrane (2 × 30 cm) and absorbent pad (2.2 × 30 cm) were assembled accordingly. Polystreptavidin (75 µg/mL), anti-DNP antibody (300 µg/mL), and donkey anti-sheep IgG antibody (500 µg/mL) were diluted in PBS containing 0.1% (w/v) biotin-free BSA and 1% (w/v) trehalose. The solutions were printed (1 µL/cm) onto the nitrocellulose membrane with a line-to-line distance of 2.5 mm using a line printer (AD3220TM Aspirate/Dispense Platform, BioDot Limited, Chichester, United Kingdom). Polystreptavidin binds the double-labeled (biotin, digoxigenin) target DNA amplicon and thus represents the test line (TL). The anti-DNP antibody binds the double-labeled (DNP, digoxigenin) IAC-DNA amplicon and thus represents the internal amplification control line (IAC). The sheep anti-digoxigenin-conjugated fluorescence microspheres bind to the anti-sheep IgG antibody which therefore acts as flow control line (FC). The lateral flow dipstick sheets were dried for at least 24 h at room temperature (RT) and subsequently cut into lateral flow dipsticks with a width of 4.4 mm using a guillotine cutter (A-Point Guillotine Cutter, Arista Biologicals Inc., Allentown, PA, USA). The lateral flow dipsticks were stored at RT in a box containing silica gel until use.

2.8. RPA-Lateral Flow Assay Procedure

The RPA was performed in a 50 µL volume using the TwistAmp® nfo kit (TwistDx limited, Cambridge, UK). Briefly, 29.5 µL 1× rehydration buffer was mixed with 1.25 µL lasB-fwd (10 µM), 1.25 µL lasB-rev (10 µM), 1.2 µL lasB probe (10 µM), 1.2 µL IAC-Probe (10 µM), and 2300 copies of IAC-DNA per reaction. Subsequently, 1 µL of gDNA and 11.1 µL ddH2O or 5 µL crude lysate and 7.1 µL ddH2O were added to the reaction mix. Next, the RPA reaction pellet and 2.5 µL of magnesium acetate (280 nM) were added and the reaction was incubated for 20 min at 37 °C. Optimization of the RPA reaction regarding primer, probe and IAC-DNA concentration is shown in Figures S3 and S4.
Subsequently, the RPA reaction was diluted 1:30 in 50 µL running buffer containing 120 µg/mL anti-digoxigenin-conjugated microspheres, 0.5% (w/v) biotin-free BSA, and 0.1% (v/v) Tween 20. The lateral flow strip was dipped into the solution and incubated for 7 min at RT and imaged in a fluorescence microscope (Lionheart LX Automated Microscope, BioTek Instruments Inc., Bad Friedrichshall, Germany). Fluorescence intensity of test line, IAC, and FC was determined by image analysis using ImageJ (Fiji is just ImageJ) [71,72].

2.9. Detecting P. aeruginosa in Spiked Wound Exudate or Buffer

The utility of the streamlined protocol for pathogen detection from human wound exudate was evaluated. Therefore, PBS or wound exudate from non-infected patients was spiked with different concentrations of P. aeruginosa (1.5 ± 0.4 × 104–1.5 ± 0.4 × 107 CFU/mL). For specificity validation experiments, PBS was spiked with one of the following microorganisms: S. aureus, S. epidermidis, S. agalactiae, E. coli, K. pneumoniae, E. faecalis, and P. mirabilis. Subsequently, the microorganisms were lysed via bead beating, crude lysate was added to the RPA reaction mix, and the amplification products were detected via lateral flow assay.

2.10. Statistical Analysis

All measurements were conducted three times per experiment, and all experiments were performed in triplicates. Statistical analysis was performed using Origin (OriginLab Corporation, Northampton, MA, USA). A four-parameter logistic non-linear regression model (PL4) was used for curve fitting analysis (see supplementary data, Tables S1 and S2). The LOD was calculated from the mean fluorescence intensity (y) and standard deviation (SD) of the blank and of a low concentration sample [73]:
yLOD = (yblank + 1.645 * SDblank) + 1.645 * SDlow concentration sample
The corresponding concentration and confidence interval was then calculated by interpolating the calculated fluorescence intensity of the LOD (yLOD) into the sigmoidal fit curve equation.

3. Results

3.1. Principle of the Paper-Based Approach for Pathogen Detection in Wound Exudate

The developed streamlined protocol for pathogen identification in wound exudate combines all three necessary steps (Figure 2): (A) lysis of the pathogen via bead beating, (B) amplification and generation of double-labeled amplicons from crude lysate via RPA, and (C) detection of the double-labeled amplification products via NALFIA.
Our approach has a sample-to-result turnaround time of less than 30 min with only three hands-on steps (see Figure 2): The user adds the wound exudate to the lysis tube containing glass beads (1st hands-on step). After bead beating, the crude lysate is transferred directly to the already prepared RPA reaction and the DNA is amplified and labeled within 20 min (2nd hands-on step). Subsequently, the user dilutes the amplification reaction with running buffer and dips the lateral flow strip into the reaction (3rd hands-on step). After 7 min, the NALFIA can be analyzed via commercial lateral flow reader.
We selected bead beating (Figure 2A) as a fast, effective and simple way to directly lyse pathogens in wound exudate. This mechanical disruption technique can be ubiquitously applied for different microorganisms regardless of their nature and the sample matrix [74,75]. In this study, two cycles of 20 s at 6800 rpm and a break of 30 s were sufficient to lyse the whole pathogen panel used for specificity investigations (see Figure 3 and supplementary material Figures S5 and S6). Without any need for purification after lysis, we added the crude lysate directly to the RPA-reaction mix (Figure 2B).
The target DNA was amplified and labeled at 37 °C within 20 min. The addition of a specific probe increases the specificity of the amplification method. The probe contains a polymerase extension blocking group (C3 spacer) and a tetrahydrofuran (THF) residue, which is cleaved by a nfo nuclease, but only when the probe hybridizes to its target sequence.
Cleavage removes the blocking group and transforms the probe into a new primer. Thus, two amplification products can be observed on the agarose gel (see supplementary data Figure S2): a single- and a double-labeled amplification product. However, only the double-labeled amplicon is detected via NALFIA. To exclude false negative results, we designed an IAC-DNA that is co-amplified with the target DNA. We decided to use a competitive IAC strategy. This means the same set of primer is used to amplify target and IAC-DNA. The use of a specific IAC-probe allows the separate detection of the IAC-DNA amplicon. The IAC-DNA concentration is the most critical parameter and needs to be optimized to the lowest concentration to yield reproducible DNA amplification [11]. A minimum of 2300 copies per reaction was required for a clear IAC signal when using wound exudate (see supplementary material, Figure S4).
The combination of RPA with NALFIA is the ideal choice for the qualitative detection of pathogens at the POC. In the presence of double-labeled target DNA amplicons, a signal is generated at the test line which constitutes a positive test result (Figure 2D). The double-labeled IAC-DNA amplicon binds to a separate control line, to exclude false negative results that might result from RPA inhibition. A flow control (FC) shows whether the sample has passed through the lateral flow strip appropriately.
We used fluorescent microspheres as detecting label since they are described to enhance the detection signal and improve the sensitivity of LFA due to their configurational stability and high photostability. The LFA can be analyzed by commercially available lateral flow readers that eliminate subjective test result interpretation [76,77,78].
The approach described herein integrates sample preparation, sample processing and detection into a fast and straightforward streamlined protocol with only three simple hands-on steps and a sample-to-result turnaround time of less than 30 min.

3.2. Analytical Performance of the Paper-Based Approach for Pathogen Detection

To confirm that the lysis procedure is successful, we spiked PBS (Figure 3A) and wound exudate (Figure 3B) with 1.5 ± 0.4 × 107 CFU/mL P. aeruginosa and added the bacterial suspension, with and without bead beating, to the RPA reaction mix. As shown in Figure 3A,B a clear difference was observed between samples that have been lysed (iii) or not (ii). To investigate the analytical specificity of the approach, P. aeruginosa and a panel of other pathogens (S. aureus, S. epidermidis, S. agalactiae, E. coli, K. pneumoniae, E. faecalis, P. mirabilis) associated with wound infection were spiked into PBS (1:10 dilution of bacterial suspension at a OD600 of 0.36). After lysis and amplification, the amplification products were detected via NALFIA. A clear signal was observed at the test line for P. aeruginosa, whereas the signals for the other pathogens were below the fluorescence intensity of the detection limit, corresponding to a cutoff of 18,256 relative fluorescence units (RFU) (Figure 3C). The IAC and FC signals were positive for all tests, indicating a valid result. Thus, no cross-reaction with other pathogens was observed.
To determine the analytical sensitivity of the approach, we spiked 1.5 ± 0.4 × 104–1.5 ± 0.4 × 107 CFU/mL of P. aeruginosa into PBS and lysed them via bead beating. The crude lysate was added directly to the RPA reaction and the resulting amplification products were detected via NALFIA (Figure 4A). A fluorescence intensity of the LOD of 18,356 RFU was calculated (see supplementary data Tables S1 and S2) and therefore a LOD of 1 × 105 CFU/mL (95% confidence interval: 3.7 × 104–2.5 × 105 CFU/mL) was determined. This corresponds to 100 CFU/µL, which is comparable to the detection limit of 121 copies/reaction that was determined for purified genomic DNA (see supplementary data Figure S7). The lateral flow strips of the sensitivity validation experiments are shown in Figure 4A, and the corresponding sigmoidal fit curve and the LOD is shown in Figure 4C.

3.3. Demonstration with P. aeruginosa Spiked Human Wound Exudate

In order to demonstrate the applicability of the approach for the detection of pathogens in wound exudate, we spiked human wound exudate from non-infected patients with P. aeruginosa. As shown in Figure 3B, the lysis procedure is also successful for wound exudate. To establish the sensitivity achievable with wound exudate, the bodily fluid was spiked with 1.5 ± 0.4 × 104–1.5 ± 0.4 × 107 CFU/mL P. aeruginosa. Again, the crude lysate was added directly to the RPA reaction and the amplification products were detected via NALFIA. Figure 4B,C show the corresponding lateral flow strips and fit curve. We observed a lower fluorescence background in wound exudate (5112 RFU) compared to PBS (6886 RFU). Thus, for the detection of P. aeruginosa in wound exudate, a fluorescence intensity of the LOD of 9993 RFU was calculated, which corresponds to 2.1 × 105 CFU/mL (95% confidence interval: 9.6 × 104–4.7 × 105 CFU/mL). Therefore, we show the successful pathogen identification in wound exudate after crude lysis, direct amplification via RPA, and detection via NALFIA.

4. Discussion

Currently there are no paper-based POC tests available for the detection of pathogens in wound exudate. However, a rapid test combined with fast sample preparation and processing has enormous potential to improve the clinical outcome of patients with wound infection by enabling an early detection of the pathogen and a target-oriented therapy.
Tedious multi-step lengthy protocols are described in literature to remove contaminants and inhibitors from the clinically relevant, complex samples, which limits the use of NAATs at the POC [79]. To address the need for a reliable rapid test for the detection of pathogens in wound exudate, we combined straightforward sample preparation with RPA. The RPA is a robust amplification method that works in the presence of known PCR inhibitors and facilitates the amplification of nucleic acids from crude extracts [80]. We show the successful pathogen detection from wound exudate after crude lysis and direct amplification via RPA.
In addition, a competitive IAC was integrated that excludes false negative results and, in combination with the flow control, ensures the validity of the test result. Until now only a part of the published RPA approaches incorporated an IAC [46,81,82,83,84,85,86,87]. The main advantages over the non-competitive method are: (1) avoiding the risk of undesired interaction of multiple primers and (2) a more accurate reflection of the amplification, due to the identical primers and reaction conditions. In this regard, it is important to keep the IAC-DNA concentration at the lowest concentration that yields reproducible DNA amplification [11]. We determined a minimum of 2300 copies IAC-DNA per reaction when using wound exudate and thus, successfully integrated the IAC into the streamlined protocol.
As mentioned above it is believed that a microbial load of >105 CFU per mL of wound exudate is required to reach a stage of local infection (critical colonization). At this time point, clinical intervention becomes necessary [63,64,65,66,88]. A qualitative rapid test for the detection of pathogens in wound exudate with a LOD of 105 CFU/mL offers a fast decision tool to (1) decide if a wound is infected and (2) start a target-oriented therapy using specific antibiotics and antibacterial substances. We determined a LOD of 1 × 105 CFU/mL in PBS and a LOD of 2.1 × 105 CFU/mL in wound exudate. Thus, the sensitivity of our approach was slightly reduced for using wound exudate as a sample matrix, compared to the detection of P. aeruginosa in PBS. The biological matrix might influence the amplification efficiency and thus lead to the differences in the LOD. The addition of amplification enhancers such as betaine or trehalose might improve the amplification reaction [89].
Thus, we show the successful pathogen detection in wound exudate after crude lysis, direct amplification via RPA, and detection via NALFIA in a clinical relevant range. However, remnants of a treated bacterial infection might lead to a false-positive test result. In general, this limitation is concerning all amplification methods. Thus, it is important to consider the test result together with the clinical appearance of the wound. A future test combining the detection of the pathogen together with biomarkers of the host immune response could indicate a successfully treated bacterial infection. Additionally, we selected an approach that can be analyzed by commercially available lateral flow readers that eliminate subjective test result interpretation and provides traceability by automatically recording the test data. Thus, a reader facilitates the (future) multiplex detection of pathogens associated with wound infection [76,77,78].
Therefore, our research work significantly exceeds the current state of the art by (1) implementing an easy workflow for the detection of pathogens in wound exudate with a turn-around time of 30 min, and (2) showing a straightforward approach covering for the first time the complete analytical process chain from sample to answer with only three simple hands-on steps. Controls ensure the validity of the test result and, importantly, no cross-reaction was observed with other pathogens associated with wound infection. In future, our focus will be on integrating all fundamental operation steps into one single paper-based device. In this manner, the rapid test should fulfill POC requirements such as a closed cartridge (to minimize the risk of amplicon carryover contaminations) or a sample-to-device interface, and should expand the panel for multiplex pathogen detection in wound exudate [13,90,91]. Thus, this rapid test paves the way towards reliable pathogen detection for a target-oriented therapy of infected wounds at the POC.

Supplementary Materials

The following are available online at https://0-www-mdpi-com.brum.beds.ac.uk/2079-6374/11/3/74/s1, Figure S1: Determination of the OD600 to CFU per mL correlation., Figure S2: Determination of the analytical specificity of the RPA using isolated gDNA of P. aeruginosa and other pathogens present in infected wounds., Figure S3: Optimization of the RPA reaction regarding primer and probe concentration., Figure S4: Optimization of the IAC-DNA concentration for the paper-based detection of P. aeruginosa in wound exudate., Figure S5: Optimization of the lysis protocol., Figure S6: CFU counting before and after bead beating for the whole microorganism panel., Figure S7: Determination of the analytical sensitivity of the RPA using isolated gDNA of P. aeruginosa., Table S1: Sigmoidal fit curve analysis and linear regression line analysis., Table S2: Mean, standard deviation (SD) and coefficient of variation (CV).

Author Contributions

Conceptualization, A.B., F.v.S. and S.M.F.; methodology, A.B., D.M.K. and S.M.F.; wound exudate collection, R.D.V.; data curation, A.B.; writing—original draft preparation, A.B. and R.D.V.; writing—review and editing, all authors; supervision, F.v.S. and S.M.F.; project administration, S.M.F.; funding acquisition, S.M.F. All authors have read and agreed to the published version of the manuscript.

Funding

Funding from the German Research Foundation (DFG), within the project “Hochdynamische Multianalyte-Assays” (grant number 397660978), is gratefully acknowledged.

Institutional Review Board Statement

The study was conducted according to the guidelines of the Declaration of Helsinki, and approved by the Ethics Committee of the Johan Wolfgang Goethe University Frankfurt (project number 111/17; date of approval: 17.09.2018) and by the Ethics Committee of the University of Freiburg (project number 28/17; date of approval: 11.04.2019).

Informed Consent Statement

Informed consent was obtained from all subjects involved in the study.

Data Availability Statement

Not applicable.

Acknowledgments

The authors want to thank Clarissa Nabakowski and Anna-Sophia Kittel for support during preliminary experiments.

Conflicts of Interest

The authors declare no conflict of interest. The funders had no role in the design of the study; in the collection, analyses, or interpretation of data; in the writing of the manuscript, or in the decision to publish the results.

References

  1. Behnke, M.; Hansen, S.; Leistner, R.; Diaz, L.A.P.; Gropmann, A.; Sohr, D.; Gastmeier, P.; Piening, B. Nosocomial infection and antibiotic use: A second national prevalence study in Germany. Dtsch. Arztebl. Int. 2013, 110, 627–633. [Google Scholar] [CrossRef] [PubMed] [Green Version]
  2. Prävention postoperativer Wundinfektionen: Empfehlung der Kommission für Krankenhaushygiene und Infektionsprävention (KRINKO) beim Robert Koch-Institut. Bundesgesundheitsblatt Gesundh. Gesundh. 2018, 61, 448–473. [CrossRef] [Green Version]
  3. Anderson, D.J.; Podgorny, K.; Berríos-Torres, S.I.; Bratzler, D.W.; Dellinger, E.P.; Greene, L.; Nyquist, A.-C.; Saiman, L.; Yokoe, D.S.; Maragakis, L.L.; et al. Strategies to prevent surgical site infections in acute care hospitals: 2014 update. Infect. Control Hosp. Epidemiol. 2014, 35, 605–627. [Google Scholar] [CrossRef] [PubMed] [Green Version]
  4. Thomas, L. Labor und Diagnose: Indikation und Bewertung von Laborbefunden für die medizinische Diagnostik, 8th ed.; Th-Books: Frankfurt/Main, Germany, 2012; ISBN 9783980521581. [Google Scholar]
  5. Leekha, S.; Terrell, C.L.; Edson, R.S. General principles of antimicrobial therapy. Mayo Clin. Proc. 2011, 86, 156–167. [Google Scholar] [CrossRef] [Green Version]
  6. Llor, C.; Bjerrum, L. Antimicrobial resistance: Risk associated with antibiotic overuse and initiatives to reduce the problem. Ther. Adv. Drug Saf. 2014, 5, 229–241. [Google Scholar] [CrossRef] [Green Version]
  7. Dargaville, T.R.; Farrugia, B.L.; Broadbent, J.A.; Pace, S.; Upton, Z.; Voelcker, N.H. Sensors and imaging for wound healing: A review. Biosens. Bioelectron. 2013, 41, 30–42. [Google Scholar] [CrossRef] [PubMed] [Green Version]
  8. Brunauer, A.; Ates, H.C.; Dincer, C.; Früh, S.M. Integrated paper-based sensing devices for diagnostic applications. In Paper Based Sensors; Elsevier: Amsterdam, The Netherlands, 2020; pp. 397–450. ISBN 9780444643452. [Google Scholar]
  9. Ramsay, S.; Cowan, L.; Davidson, J.M.; Nanney, L.; Schultz, G. Wound samples: Moving towards a standardised method of collection and analysis. Int. Wound J. 2016, 13, 880–891. [Google Scholar] [CrossRef] [PubMed]
  10. Schrader, C.; Schielke, A.; Ellerbroek, L.; Johne, R. PCR inhibitors—Occurrence, properties and removal. J. Appl. Microbiol. 2012, 113, 1014–1026. [Google Scholar] [CrossRef]
  11. Hoorfar, J.; Malorny, B.; Abdulmawjood, A.; Cook, N.; Wagner, M.; Fach, P. Practical considerations in design of internal amplification controls for diagnostic PCR assays. J. Clin. Microbiol. 2004, 42, 1863–1868. [Google Scholar] [CrossRef] [Green Version]
  12. Mauk, M.G.; Song, J.; Liu, C.; Bau, H.H. Simple Approaches to Minimally-Instrumented, Microfluidic-Based Point-of-Care Nucleic Acid Amplification Tests. Biosensors 2018, 8, 17. [Google Scholar] [CrossRef] [Green Version]
  13. Niemz, A.; Ferguson, T.M.; Boyle, D.S. Point-of-care nucleic acid testing for infectious diseases. Trends Biotechnol. 2011, 29, 240–250. [Google Scholar] [CrossRef] [Green Version]
  14. Zhang, L.; Ding, B.; Chen, Q.; Feng, Q.; Lin, L.; Sun, J. Point-of-care-testing of nucleic acids by microfluidics. Trends Anal. Chem. 2017, 94, 106–116. [Google Scholar] [CrossRef]
  15. Becherer, L.; Hess, J.F.; Frischmann, S.; Bakheit, M.; Nitschko, H.; Stinco, S.; Zitz, F.; Hofer, H.; Porro, G.; Hausladen, F.; et al. Point-of-Care System for HTLV-1 Proviral Load Quantification by Digital Mediator Displacement LAMP. Micromachines 2021, 12, 159. [Google Scholar] [CrossRef]
  16. Schulz, M.; Calabrese, S.; Hausladen, F.; Wurm, H.; Drossart, D.; Stock, K.; Sobieraj, A.M.; Eichenseher, F.; Loessner, M.J.; Schmelcher, M.; et al. Point-of-care testing system for digital single cell detection of MRSA directly from nasal swabs. Lab Chip 2020, 20, 2549–2561. [Google Scholar] [CrossRef]
  17. Cesewski, E.; Johnson, B.N. Electrochemical biosensors for pathogen detection. Biosens. Bioelectron. 2020, 159, 112214. [Google Scholar] [CrossRef]
  18. Formisano, N.; Bhalla, N.; Heeran, M.; Reyes Martinez, J.; Sarkar, A.; Laabei, M.; Jolly, P.; Bowen, C.R.; Taylor, J.T.; Flitsch, S.; et al. Inexpensive and fast pathogenic bacteria screening using field-effect transistors. Biosens. Bioelectron. 2016, 85, 103–109. [Google Scholar] [CrossRef] [PubMed] [Green Version]
  19. Singh, R.; Mukherjee, M.D.; Sumana, G.; Gupta, R.K.; Sood, S.; Malhotra, B.D. Biosensors for pathogen detection: A smart approach towards clinical diagnosis. Sens. Actuators B Chem. 2014, 197, 385–404. [Google Scholar] [CrossRef]
  20. Koczula, K.M.; Gallotta, A. Lateral flow assays. Essays Biochem. 2016, 60, 111–120. [Google Scholar] [CrossRef]
  21. Dincer, C.; Bruch, R.; Costa-Rama, E.; Fernández-Abedul, M.T.; Merkoçi, A.; Manz, A.; Urban, G.A.; Güder, F. Disposable Sensors in Diagnostics, Food, and Environmental Monitoring. Adv. Mater. 2019, 31, e1806739. [Google Scholar] [CrossRef] [PubMed]
  22. Kaur, N.; Toley, B.J. Paper-based nucleic acid amplification tests for point-of-care diagnostics. Analyst 2018, 143, 2213–2234. [Google Scholar] [CrossRef] [PubMed]
  23. Xu, G.; Nolder, D.; Reboud, J.; Oguike, M.C.; van Schalkwyk, D.A.; Sutherland, C.J.; Cooper, J.M. Paper-Origami-Based Multiplexed Malaria Diagnostics from Whole Blood. Angew. Chem. Int. Ed. Engl. 2016, 55, 15250–15253. [Google Scholar] [CrossRef]
  24. Choi, J.R.; Hu, J.; Tang, R.; Gong, Y.; Feng, S.; Ren, H.; Wen, T.; Li, X.; Wan Abas, W.A.B.; Pingguan-Murphy, B.; et al. An integrated paper-based sample-to-answer biosensor for nucleic acid testing at the point of care. Lab Chip 2016, 16, 611–621. [Google Scholar] [CrossRef] [PubMed]
  25. Bender, A.T.; Borysiak, M.D.; Levenson, A.M.; Lillis, L.; Boyle, D.S.; Posner, J.D. Semiquantitative Nucleic Acid Test with Simultaneous Isotachophoretic Extraction and Amplification. Anal. Chem. 2018, 90, 7221–7229. [Google Scholar] [CrossRef] [PubMed]
  26. Phillips, E.A.; Moehling, T.J.; Ejendal, K.F.K.; Hoilett, O.S.; Byers, K.M.; Basing, L.A.; Jankowski, L.A.; Bennett, J.B.; Lin, L.-K.; Stanciu, L.A.; et al. Microfluidic rapid and autonomous analytical device (microRAAD) to detect HIV from whole blood samples. Lab Chip 2019, 19, 3375–3386. [Google Scholar] [CrossRef] [Green Version]
  27. Dou, M.; Sanjay, S.T.; Dominguez, D.C.; Liu, P.; Xu, F.; Li, X. Multiplexed instrument-free meningitis diagnosis on a polymer/paper hybrid microfluidic biochip. Biosens. Bioelectron. 2017, 87, 865–873. [Google Scholar] [CrossRef] [PubMed] [Green Version]
  28. De Silva, R.F.; Longo Cesar Paixão, T.R.; Der Torossian Torres, M.; de Araujo, W.R. Simple and inexpensive electrochemical paper-based analytical device for sensitive detection of Pseudomonas aeruginosa. Sens. Actuators B Chem. 2020, 308, 127669. [Google Scholar] [CrossRef]
  29. Zhang, Y.; Bai, J.; Ying, J.Y. A stacking flow immunoassay for the detection of dengue-specific immunoglobulins in salivary fluid. Lab Chip 2015, 15, 1465–1471. [Google Scholar] [CrossRef] [PubMed]
  30. Huang, S.; Abe, K.; Bennett, S.; Liang, T.; Ladd, P.D.; Yokobe, L.; Anderson, C.E.; Shah, K.; Bishop, J.; Purfield, M.; et al. Disposable Autonomous Device for Swab-to-Result Diagnosis of Influenza. Anal. Chem. 2017, 89, 5776–5783. [Google Scholar] [CrossRef]
  31. Anderson, C.E.; Buser, J.R.; Fleming, A.M.; Strauch, E.-M.; Ladd, P.D.; Englund, J.; Baker, D.; Yager, P. An integrated device for the rapid and sensitive detection of the influenza hemagglutinin. Lab Chip 2019, 19, 885–896. [Google Scholar] [CrossRef] [PubMed]
  32. Rodriguez, N.M.; Linnes, J.C.; Fan, A.; Ellenson, C.K.; Pollock, N.R.; Klapperich, C.M. Paper-Based RNA Extraction, in Situ Isothermal Amplification, and Lateral Flow Detection for Low-Cost, Rapid Diagnosis of Influenza A (H1N1) from Clinical Specimens. Anal. Chem. 2015, 87, 7872–7879. [Google Scholar] [CrossRef] [Green Version]
  33. Rodriguez, N.M.; Wong, W.S.; Liu, L.; Dewar, R.; Klapperich, C.M. A fully integrated paperfluidic molecular diagnostic chip for the extraction, amplification, and detection of nucleic acids from clinical samples. Lab Chip 2016, 16, 753–763. [Google Scholar] [CrossRef]
  34. Yang, Z.; Xu, G.; Reboud, J.; Ali, S.A.; Kaur, G.; McGiven, J.; Boby, N.; Gupta, P.K.; Chaudhuri, P.; Cooper, J.M. Rapid Veterinary Diagnosis of Bovine Reproductive Infectious Diseases from Semen Using Paper-Origami DNA Microfluidics. ACS Sens. 2018, 3, 403–409. [Google Scholar] [CrossRef]
  35. Hui, C.Y.; Liu, M.; Li, Y.; Brennan, J.D. A Paper Sensor Printed with Multifunctional Bio/Nano Materials. Angew. Chem. Int. Ed. Engl. 2018, 57, 4549–4553. [Google Scholar] [CrossRef] [PubMed]
  36. Crannell, Z.; Castellanos-Gonzalez, A.; Nair, G.; Mejia, R.; White, A.C.; Richards-Kortum, R. Multiplexed Recombinase Polymerase Amplification Assay to Detect Intestinal Protozoa. Anal. Chem. 2016, 88, 1610–1616. [Google Scholar] [CrossRef]
  37. Daher, R.K.; Stewart, G.; Boissinot, M.; Bergeron, M.G. Recombinase Polymerase Amplification for Diagnostic Applications. Clin. Chem. 2016, 62, 947–958. [Google Scholar] [CrossRef]
  38. Yi, T.-T.; Zhang, H.-Y.; Liang, H.; Gong, G.-Z.; Cai, Y. Betaine-assisted recombinase polymerase assay for rapid hepatitis B virus detection. Biotechnol. Appl. Biochem. 2020. [Google Scholar] [CrossRef]
  39. Kortli, S.; Jauset-Rubio, M.; Tomaso, H.; Abbas, M.N.; Bashammakh, A.S.; El-Shahawi, M.S.; Alyoubi, A.O.; Ben-Ali, M.; O’Sullivan, C.K. Yersinia pestis detection using biotinylated dNTPs for signal enhancement in lateral flow assays. Anal. Chim. Acta 2020, 1112, 54–61. [Google Scholar] [CrossRef] [PubMed]
  40. Xu, Y.-Z.; Fang, D.-Z.; Chen, F.-F.; Zhao, Q.-F.; Cai, C.-M.; Cheng, M.-G. Utilization of recombinase polymerase amplification method combined with lateral flow dipstick for visual detection of respiratory syncytial virus. Mol. Cell. Probes 2020, 49, 101473. [Google Scholar] [CrossRef]
  41. Qi, Y.; Shao, Y.; Rao, J.; Shen, W.; Yin, Q.; Li, X.; Chen, H.; Li, J.; Zeng, W.; Zheng, S.; et al. Development of a rapid and visual detection method for Rickettsia rickettsii combining recombinase polymerase assay with lateral flow test. PLoS ONE 2018, 13, e0207811. [Google Scholar] [CrossRef] [PubMed]
  42. Poulton, K.; Webster, B. Development of a lateral flow recombinase polymerase assay for the diagnosis of Schistosoma mansoni infections. Anal. Biochem. 2018, 546, 65–71. [Google Scholar] [CrossRef] [PubMed]
  43. Jauset-Rubio, M.; Tomaso, H.; El-Shahawi, M.S.; Bashammakh, A.S.; Al-Youbi, A.O.; O’Sullivan, C.K. Duplex Lateral Flow Assay for the Simultaneous Detection of Yersinia pestis and Francisella tularensis. Anal. Chem. 2018, 90, 12745–12751. [Google Scholar] [CrossRef]
  44. Natoli, M.E.; Rohrman, B.A.; De Santiago, C.; van Zyl, G.U.; Richards-Kortum, R.R. Paper-based detection of HIV-1 drug resistance using isothermal amplification and an oligonucleotide ligation assay. Anal. Biochem. 2018, 544, 64–71. [Google Scholar] [CrossRef] [PubMed]
  45. Jia, T.; Yu, Y.; Wang, Y. A recombinase polymerase amplification-based lateral flow strip assay for rapid detection of genogroup II noroviruses in the field. Arch. Virol. 2020, 165, 2767–2776. [Google Scholar] [CrossRef]
  46. Bai, X.; Ma, X.; Li, M.; Li, X.; Fan, G.; Zhang, R.; Wang, R.; Duan, Q.; Shen, X.; Xie, Y.; et al. Field applicable detection of hepatitis B virus using internal controlled duplex recombinase-aided amplification assay and lateral flow dipstick assay. J. Med. Virol. 2020. [Google Scholar] [CrossRef]
  47. Lalremruata, A.; Nguyen, T.T.; McCall, M.B.B.; Mombo-Ngoma, G.; Agnandji, S.T.; Adegnika, A.A.; Lell, B.; Ramharter, M.; Hoffman, S.L.; Kremsner, P.G.; et al. Recombinase Polymerase Amplification and Lateral Flow Assay for Ultrasensitive Detection of Low-Density Plasmodium falciparum Infection from Controlled Human Malaria Infection Studies and Naturally Acquired Infections. J. Clin. Microbiol. 2020, 58. [Google Scholar] [CrossRef]
  48. Ma, B.; Fang, J.; Lin, W.; Yu, X.; Sun, C.; Zhang, M. A simple and efficient method for potential point-of-care diagnosis of human papillomavirus genotypes: Combination of isothermal recombinase polymerase amplification with lateral flow dipstick and reverse dot blot. Anal. Bioanal. Chem. 2019, 411, 7451–7460. [Google Scholar] [CrossRef] [PubMed]
  49. Ma, Q.; Yao, J.; Yuan, S.; Liu, H.; Wei, N.; Zhang, J.; Shan, W. Development of a lateral flow recombinase polymerase amplification assay for rapid and visual detection of Cryptococcus neoformans/C. gattii in cerebral spinal fluid. BMC Infect. Dis. 2019, 19, 108. [Google Scholar] [CrossRef]
  50. Srisrattakarn, A.; Tippayawat, P.; Chanawong, A.; Tavichakorntrakool, R.; Daduang, J.; Wonglakorn, L.; Sooksongsoontorn, P.; Lulitanond, A. Direct detection of methicillin-resistant in Staphylococcus spp. in positive blood culture by isothermal recombinase polymerase amplification combined with lateral flow dipstick assay. World J. Microbiol. Biotechnol. 2020, 36, 162. [Google Scholar] [CrossRef] [PubMed]
  51. Molina-Gonzalez, S.J.; Bhattacharyya, T.; AlShehri, H.R.; Poulton, K.; Allen, S.; Miles, M.A.; Arianitwe, M.; Tukahebwa, E.M.; Webster, B.; Russell Stothard, J.; et al. Application of a recombinase polymerase amplification (RPA) assay and pilot field testing for Giardia duodenalis at Lake Albert, Uganda. Parasit. Vectors 2020, 13, 289. [Google Scholar] [CrossRef] [PubMed]
  52. Xiong, Y.; Luo, Y.; Li, H.; Wu, W.; Ruan, X.; Mu, X. Rapid visual detection of dengue virus by combining reverse transcription recombinase-aided amplification with lateral-flow dipstick assay. Int. J. Infect. Dis. 2020, 95, 406–412. [Google Scholar] [CrossRef]
  53. Sun, N.; Wang, Y.; Yao, X.; Chen, F.; Gao, D.; Wang, W.; Li, X. Visual signal generation for the detection of influenza viruses by duplex recombinase polymerase amplification with lateral flow dipsticks. Anal. Bioanal. Chem. 2019, 411, 3591–3602. [Google Scholar] [CrossRef] [PubMed]
  54. Wu, T.; Wu, H.; Zhao, K.; Hu, C.; Ge, Y.; Zhu, X.; Zhang, X.; Zhou, M.; Zhu, F.; Cui, L. Rapid detection of human mastadenovirus species B by recombinase polymerase amplification assay. BMC Microbiol. 2019, 19, 8. [Google Scholar] [CrossRef]
  55. Sun, N.; Wang, W.; Wang, J.; Yao, X.; Chen, F.; Li, X.; Yinglei, Y.; Chen, B. Reverse transcription recombinase polymerase amplification with lateral flow dipsticks for detection of influenza A virus and subtyping of H1 and H3. Mol. Cell. Probes 2018, 42, 25–31. [Google Scholar] [CrossRef] [PubMed]
  56. Ma, S.; Li, X.; Peng, B.; Wu, W.; Wang, X.; Liu, H.; Yuan, L.; Fang, S.; Lu, J. Rapid Detection of Avian Influenza A Virus (H7N9) by Lateral Flow Dipstick Recombinase Polymerase Amplification. Biol. Pharm. Bull. 2018, 41, 1804–1808. [Google Scholar] [CrossRef] [PubMed] [Green Version]
  57. James, A.S.; Todd, S.; Pollak, N.M.; Marsh, G.A.; Macdonald, J. Ebolavirus diagnosis made simple, comparable and faster than molecular detection methods: Preparing for the future. Virol. J. 2018, 15, 75. [Google Scholar] [CrossRef]
  58. Lai, M.-Y.; Ooi, C.-H.; Lau, Y.-L. Recombinase Polymerase Amplification Combined with a Lateral Flow Strip for the Detection of Plasmodium knowlesi. Am. J. Trop. Med. Hyg. 2018, 98, 700–703. [Google Scholar] [CrossRef] [PubMed] [Green Version]
  59. Ma, Q.; Liu, H.; Ye, F.; Xiang, G.; Shan, W.; Xing, W. Rapid and visual detection of Mycobacterium tuberculosis complex using recombinase polymerase amplification combined with lateral flow strips. Mol. Cell. Probes 2017, 36, 43–49. [Google Scholar] [CrossRef]
  60. Mesaros, N.; Nordmann, P.; Plésiat, P.; Roussel-Delvallez, M.; van Eldere, J.; Glupczynski, Y.; van Laethem, Y.; Jacobs, F.; Lebecque, P.; Malfroot, A.; et al. Pseudomonas aeruginosa: Resistance and therapeutic options at the turn of the new millennium. Clin. Microbiol. Infect. 2007, 13, 560–578. [Google Scholar] [CrossRef] [Green Version]
  61. Lister, P.D.; Wolter, D.J.; Hanson, N.D. Antibacterial-resistant Pseudomonas aeruginosa: Clinical impact and complex regulation of chromosomally encoded resistance mechanisms. Clin. Microbiol. Rev. 2009, 22, 582–610. [Google Scholar] [CrossRef] [PubMed] [Green Version]
  62. Klebes, M.; Ulrich, C.; Kluschke, F.; Patzelt, A.; Vandersee, S.; Richter, H.; Bob, A.; von Hutten, J.; Krediet, J.T.; Kramer, A.; et al. Combined antibacterial effects of tissue-tolerable plasma and a modern conventional liquid antiseptic on chronic wound treatment. J. Biophotonics 2015, 8, 382–391. [Google Scholar] [CrossRef]
  63. Bui, U.T.; Finlayson, K.; Edwards, H. The diagnosis of infection in chronic leg ulcers: A narrative review on clinical practice. Int. Wound J. 2019, 16, 601–620. [Google Scholar] [CrossRef]
  64. Baranoski, S. Wound Care Essentials, 2nd ed.; Lippincott Williams & Wilkins: Philadelphia, PA, USA, 2008; ISBN 978-1-58255-469-3. [Google Scholar]
  65. Bowler, P.G.; Duerden, B.I.; Armstrong, D.G. Wound microbiology and associated approaches to wound management. Clin. Microbiol. Rev. 2001, 14, 244–269. [Google Scholar] [CrossRef] [PubMed] [Green Version]
  66. Edwards, R.; Harding, K.G. Bacteria and wound healing. Curr. Opin. Infect. Dis. 2004, 17, 91–96. [Google Scholar] [CrossRef] [PubMed]
  67. TwistDx Limited. TwistAmp® DNA Amplification Kits—Assay Design Manual. Available online: https://www.twistdx.co.uk/docs/default-source/RPA-assay-design/twistamp-assay-design-manual-v2-5.pdf?sfvrsn=b3be0efc_29 (accessed on 7 June 2020).
  68. Raja, B.; Goux, H.J.; Marapadaga, A.; Rajagopalan, S.; Kourentzi, K.; Willson, R.C. Development of a panel of recombinase polymerase amplification assays for detection of common bacterial urinary tract infection pathogens. J. Appl. Microbiol. 2017, 123, 544–555. [Google Scholar] [CrossRef]
  69. Altschul, S.F.; Gish, W.; Miller, W.; Myers, E.W.; Lipman, D.J. Basic local alignment search tool. J. Mol. Biol. 1990, 215, 403–410. [Google Scholar] [CrossRef]
  70. Ye, J.; Coulouris, G.; Zaretskaya, I.; Cutcutache, I.; Rozen, S.; Madden, T.L. Primer-BLAST: A tool to design target-specific primers for polymerase chain reaction. BMC Bioinf. 2012, 13, 134. [Google Scholar] [CrossRef] [PubMed] [Green Version]
  71. Schindelin, J.; Arganda-Carreras, I.; Frise, E.; Kaynig, V.; Longair, M.; Pietzsch, T.; Preibisch, S.; Rueden, C.; Saalfeld, S.; Schmid, B.; et al. Fiji: An open-source platform for biological-image analysis. Nat. Methods 2012, 9, 676–682. [Google Scholar] [CrossRef] [PubMed] [Green Version]
  72. Schneider, C.A.; Rasband, W.S.; Eliceiri, K.W. NIH Image to ImageJ: 25 years of image analysis. Nat. Methods 2012, 9, 671–675. [Google Scholar] [CrossRef]
  73. Armbruster, D.A.; Pry, T. Limit of blank, limit of detection and limit of quantitation. Clin. Biochem. Rev. 2008, 29 (Suppl. S1), S49–S52. [Google Scholar]
  74. De Boer, R.; Peters, R.; Gierveld, S.; Schuurman, T.; Kooistra-Smid, M.; Savelkoul, P. Improved detection of microbial DNA after bead-beating before DNA isolation. J. Microbiol. Methods 2010, 80, 209–211. [Google Scholar] [CrossRef] [PubMed]
  75. Shehadul Islam, M.; Aryasomayajula, A.; Selvaganapathy, P. A Review on Macroscale and Microscale Cell Lysis Methods. Micromachines 2017, 8, 83. [Google Scholar] [CrossRef]
  76. Lee, L.G.; Nordman, E.S.; Johnson, M.D.; Oldham, M.F. A low-cost, high-performance system for fluorescence lateral flow assays. Biosensors 2013, 3, 360–373. [Google Scholar] [CrossRef] [PubMed] [Green Version]
  77. Li, Y.; Jin, G.; Liu, L.; Kuang, H.; Xiao, J.; Xu, C. A portable fluorescent microsphere-based lateral flow immunosensor for the simultaneous detection of colistin and bacitracin in milk. Analyst 2020. [Google Scholar] [CrossRef] [PubMed]
  78. O’Farrell, B. Evolution in Lateral Flow–Based Immunoassay Systems. In Lateral Flow Immunoassay; Wong, R., Tse, H., Eds.; Humana Press: Totowa, NJ, USA, 2009; pp. 1–33. ISBN 978-1-58829-908-6. [Google Scholar]
  79. Walker, F.M.; Hsieh, K. Advances in Directly Amplifying Nucleic Acids from Complex Samples. Biosensors 2019, 9, 117. [Google Scholar] [CrossRef] [Green Version]
  80. Lobato, I.M.; O’Sullivan, C.K. Recombinase polymerase amplification: Basics, applications and recent advances. Trends Analyt. Chem. 2018, 98, 19–35. [Google Scholar] [CrossRef] [PubMed]
  81. Wang, R.-H.; Zhang, H.; Zhang, Y.; Li, X.-N.; Shen, X.-X.; Qi, J.-J.; Fan, G.-H.; Xiang, X.-Y.; Zhan, Z.-F.; Chen, Z.-W.; et al. Development and evaluation of recombinase-aided amplification assays incorporating competitive internal controls for detection of human adenovirus serotypes 3 and 7. Virol. J. 2019, 16, 86. [Google Scholar] [CrossRef] [PubMed]
  82. Crannell, Z.A.; Rohrman, B.; Richards-Kortum, R. Development of a quantitative recombinase polymerase amplification assay with an internal positive control. J. Vis. Exp. 2015. [Google Scholar] [CrossRef] [PubMed] [Green Version]
  83. Yang, H.-L.; Wei, S.; Gooneratne, R.; Mutukumira, A.N.; Ma, X.-J.; Tang, S.-Z.; Wu, X.-Y. Development of a recombinase polymerase amplification assay for Vibrio parahaemolyticus detection with an internal amplification control. Can. J. Microbiol. 2018, 64, 223–230. [Google Scholar] [CrossRef] [Green Version]
  84. Higgins, O.; Clancy, E.; Forrest, M.S.; Piepenburg, O.; Cormican, M.; Boo, T.W.; O’Sullivan, N.; McGuinness, C.; Cafferty, D.; Cunney, R.; et al. Duplex recombinase polymerase amplification assays incorporating competitive internal controls for bacterial meningitis detection. Anal. Biochem. 2018, 546, 10–16. [Google Scholar] [CrossRef]
  85. Crannell, Z.A.; Rohrman, B.; Richards-Kortum, R. Quantification of HIV-1 DNA using real-time recombinase polymerase amplification. Anal. Chem. 2014, 86, 5615–5619. [Google Scholar] [CrossRef] [PubMed] [Green Version]
  86. Zhang, R.-Q.; Li, G.-X.; Li, X.-N.; Shen, X.-X.; Gao, Y.; Wang, L.; Fan, T.; Duan, Q.-X.; Wang, Y.-K.; Wang, J.; et al. A rapid and sensitive recombinase aided amplification assay incorporating competitive internal control to detect Bordetella pertussis using the DNA obtained by boiling. Int. J. Infect. Dis. 2019, 86, 108–113. [Google Scholar] [CrossRef] [PubMed] [Green Version]
  87. Qi, J.; Li, X.; Zhang, Y.; Shen, X.; Song, G.; Pan, J.; Fan, T.; Wang, R.; Li, L.; Ma, X. Development of a duplex reverse transcription recombinase-aided amplification assay for respiratory syncytial virus incorporating an internal control. Arch. Virol. 2019, 164, 1843–1850. [Google Scholar] [CrossRef] [PubMed]
  88. Thet, N.T.; Alves, D.R.; Bean, J.E.; Booth, S.; Nzakizwanayo, J.; Young, A.E.R.; Jones, B.V.; Jenkins, A.T.A. Prototype Development of the Intelligent Hydrogel Wound Dressing and Its Efficacy in the Detection of Model Pathogenic Wound Biofilms. ACS Appl. Mater. Interfaces 2016, 8, 14909–14919. [Google Scholar] [CrossRef] [PubMed] [Green Version]
  89. Mok, E.; Wee, E.; Wang, Y.; Trau, M. Comprehensive evaluation of molecular enhancers of the isothermal exponential amplification reaction. Sci. Rep. 2016, 6, 37837. [Google Scholar] [CrossRef]
  90. Dincer, C.; Bruch, R.; Kling, A.; Dittrich, P.S.; Urban, G.A. Multiplexed Point-of-Care Testing—xPOCT. Trends Biotechnol. 2017, 35, 728–742. [Google Scholar] [CrossRef] [PubMed] [Green Version]
  91. Li, J.; Macdonald, J. Multiplexed lateral flow biosensors: Technological advances for radically improving point-of-care diagnoses. Biosens. Bioelectron. 2016, 83, 177–192. [Google Scholar] [CrossRef] [PubMed]
Figure 1. RPA assay schematic. The RPA assay targets two DNA sequences: A sequence within the P. aeruginosa genome (lasB gene) and an amplification control (IAC)-DNA sequence.
Figure 1. RPA assay schematic. The RPA assay targets two DNA sequences: A sequence within the P. aeruginosa genome (lasB gene) and an amplification control (IAC)-DNA sequence.
Biosensors 11 00074 g001
Figure 2. Principle of the paper-based approach for P. aeruginosa detection in wound exudate. (A) Wound exudate spiked with P. aeruginosa is transferred into a top-screw tube containing glass beads and the pathogen is lysed via bead beating. (B) Then, the crude lysate is transferred to the RPA reaction. Target DNA and IAC-DNA are amplified and double-labeled target DNA amplicons and double-labeled IAC-DNA amplicons are generated. (C) Anti-digoxigenin-conjugate fluorescent beads are binding to the amplicons and they are detected via lateral flow assay. (D) Schematic drawing of the NALFIA. The double-labeled target DNA amplicon binds to the test line (TL) leading to a positive test result. The double-labeled IAC-DNA amplicon binds to a separate control line (IAC) to exclude false negative results, and a flow control (FC) shows whether the sample was processed.
Figure 2. Principle of the paper-based approach for P. aeruginosa detection in wound exudate. (A) Wound exudate spiked with P. aeruginosa is transferred into a top-screw tube containing glass beads and the pathogen is lysed via bead beating. (B) Then, the crude lysate is transferred to the RPA reaction. Target DNA and IAC-DNA are amplified and double-labeled target DNA amplicons and double-labeled IAC-DNA amplicons are generated. (C) Anti-digoxigenin-conjugate fluorescent beads are binding to the amplicons and they are detected via lateral flow assay. (D) Schematic drawing of the NALFIA. The double-labeled target DNA amplicon binds to the test line (TL) leading to a positive test result. The double-labeled IAC-DNA amplicon binds to a separate control line (IAC) to exclude false negative results, and a flow control (FC) shows whether the sample was processed.
Biosensors 11 00074 g002
Figure 3. Lysis control and specificity of the paper-based approach for P. aeruginosa detection. P. aeruginosa was spiked into (A) PBS or (B) wound exudate, whereas the negative control (i) contains no bacteria. The spiked samples were added without (ii) or after bead beating (2 × 20 s (iii) to the RPA reaction and the amplification products were detected via NALFIA. The NALFIA showed a clear signal at the test line (TL) for the lysed sample. Only a weak signal was observed for the sample that was not lysed. (C) Specificity of the paper-based approach for the detection of P. aeruginosa over other pathogens present in wounds. The following pathogens were spiked into PBS: Without bacteria (i), P. aeruginosa (ii), S. aureus (iii), S. epidermidis (iv), S. agalactiae (v), E. coli (vi), K. pneumoniae (vii), E. faecalis (viii), P. mirabilis (ix). The samples were lysed via bead beating, and the lysate was added directly to the RPA reaction. Subsequently, the amplification products were detected via NALFIA. The test line (TL) showed a positive signal for the sample spiked with P. aeruginosa, whereas the signals for the other pathogens were below the fluorescence intensity of the detection limit. Signals for internal amplification control (IAC) and flow control (FC) were observed for all NALFIA strips. The experiments were conducted three times and were performed in triplicates.
Figure 3. Lysis control and specificity of the paper-based approach for P. aeruginosa detection. P. aeruginosa was spiked into (A) PBS or (B) wound exudate, whereas the negative control (i) contains no bacteria. The spiked samples were added without (ii) or after bead beating (2 × 20 s (iii) to the RPA reaction and the amplification products were detected via NALFIA. The NALFIA showed a clear signal at the test line (TL) for the lysed sample. Only a weak signal was observed for the sample that was not lysed. (C) Specificity of the paper-based approach for the detection of P. aeruginosa over other pathogens present in wounds. The following pathogens were spiked into PBS: Without bacteria (i), P. aeruginosa (ii), S. aureus (iii), S. epidermidis (iv), S. agalactiae (v), E. coli (vi), K. pneumoniae (vii), E. faecalis (viii), P. mirabilis (ix). The samples were lysed via bead beating, and the lysate was added directly to the RPA reaction. Subsequently, the amplification products were detected via NALFIA. The test line (TL) showed a positive signal for the sample spiked with P. aeruginosa, whereas the signals for the other pathogens were below the fluorescence intensity of the detection limit. Signals for internal amplification control (IAC) and flow control (FC) were observed for all NALFIA strips. The experiments were conducted three times and were performed in triplicates.
Biosensors 11 00074 g003
Figure 4. Analytical sensitivity of the paper-based approach for the detection of P. aeruginosa. PBS (A) and wound exudate (B) was spiked with 1.5 ± 0.4 × 104–1.5 ± 0.4 × 107 CFU/mL of P. aeruginosa. The samples were lysed via bead beating and the crude lysate was added to the amplification reaction. The presence of double-labeled target DNA amplicons generated a signal at the test line (TL) of the NALFIA. The internal amplification control (IAC) and flow control (FC) signal was positive for all tests, indicating a valid result. (C) To determine the limit of detection (LOD), the fluorescence intensity of the TL was determined via ImageJ and a sigmoidal fit curve was generated for the detection of P. aeruginosa in PBS (black line) and wound exudate (grey line). The dashed lines represent the fluorescence intensity of the LOD in PBS (black dashed line) and wound exudate (grey dashed line). The error bars indicate one standard deviation. The experiments were conducted three times and were performed in triplicates.
Figure 4. Analytical sensitivity of the paper-based approach for the detection of P. aeruginosa. PBS (A) and wound exudate (B) was spiked with 1.5 ± 0.4 × 104–1.5 ± 0.4 × 107 CFU/mL of P. aeruginosa. The samples were lysed via bead beating and the crude lysate was added to the amplification reaction. The presence of double-labeled target DNA amplicons generated a signal at the test line (TL) of the NALFIA. The internal amplification control (IAC) and flow control (FC) signal was positive for all tests, indicating a valid result. (C) To determine the limit of detection (LOD), the fluorescence intensity of the TL was determined via ImageJ and a sigmoidal fit curve was generated for the detection of P. aeruginosa in PBS (black line) and wound exudate (grey line). The dashed lines represent the fluorescence intensity of the LOD in PBS (black dashed line) and wound exudate (grey dashed line). The error bars indicate one standard deviation. The experiments were conducted three times and were performed in triplicates.
Biosensors 11 00074 g004
Table 1. Primers, probes and internal amplification control-DNA sequences.
Table 1. Primers, probes and internal amplification control-DNA sequences.
NameSequence (5′-3′)
lasB-fwd primerGAGAATGACAAAGTGGAACTGGTGATCCGCCTG
lasB-rev primerDig-GCCAGGCCTTCCCACTGATCGAGCACTTCGCCG
lasB probeBiotin-GAACAACATCGCCCAACTGGTCTA CAACGT[H]TCCTACCTGATTCCC-C3 spacer
IAC-probeDNP-CAACTGCAGGGACGATTCCTTTGTCC CGAT[H]CGACCAGCTCAACTC-C3 spacer
IAC-DNAAAGACCGAGAATGACAAAGTGGAACTGGTGATCCGCCTGGGCGATATACACTCATCCCTCCAACTGCAGGGACGATTCCTTTGTCCCGATTCGACCAGCTCAACTCAGGTGTCCTCATGAAGGCGAGGGACTGTCGCGGCCGCATTTCGTCATCGACGCCAAGACCGGCGAAGTGCTCGATCAGTGGGAAGGCCTGGCCCACGC
Dig, digoxigenin; H, tetrahydrofuran; C3 spacer, polymerase extension blocking group; DNP, dinitrophenyl; IAC-DNA, internal amplification control-DNA; underlined sequence, fish virus DNA sequence.
Publisher’s Note: MDPI stays neutral with regard to jurisdictional claims in published maps and institutional affiliations.

Share and Cite

MDPI and ACS Style

Brunauer, A.; Verboket, R.D.; Kainz, D.M.; von Stetten, F.; Früh, S.M. Rapid Detection of Pathogens in Wound Exudate via Nucleic Acid Lateral Flow Immunoassay. Biosensors 2021, 11, 74. https://0-doi-org.brum.beds.ac.uk/10.3390/bios11030074

AMA Style

Brunauer A, Verboket RD, Kainz DM, von Stetten F, Früh SM. Rapid Detection of Pathogens in Wound Exudate via Nucleic Acid Lateral Flow Immunoassay. Biosensors. 2021; 11(3):74. https://0-doi-org.brum.beds.ac.uk/10.3390/bios11030074

Chicago/Turabian Style

Brunauer, Anna, René D. Verboket, Daniel M. Kainz, Felix von Stetten, and Susanna M. Früh. 2021. "Rapid Detection of Pathogens in Wound Exudate via Nucleic Acid Lateral Flow Immunoassay" Biosensors 11, no. 3: 74. https://0-doi-org.brum.beds.ac.uk/10.3390/bios11030074

Note that from the first issue of 2016, this journal uses article numbers instead of page numbers. See further details here.

Article Metrics

Back to TopTop