 Open Access Article
 Open Access Article
      
        
          
            Mohammed 
            Alhindawi
          
        
      a, 
      
        
          
            Amina 
            Rhouati
          
        
      ab, 
      
        
          
            Rahmah 
            Noordin
          
        
       c, 
      
        
          
            Dana 
            Cialla-May
          
        
      de, 
      
        
          
            Jürgen 
            Popp
c, 
      
        
          
            Dana 
            Cialla-May
          
        
      de, 
      
        
          
            Jürgen 
            Popp
          
        
       de and 
      
        
          
            Mohammed 
            Zourob
de and 
      
        
          
            Mohammed 
            Zourob
          
        
       *a
*a
      
aDepartment of Chemistry, Alfaisal University, Al Zahrawi Street, Al Maather, Al Takhassusi Rd, Riyadh 11355, Saudi Arabia. E-mail: mzourob@alfaisal.edu
      
bBioengineering laboratory, Higher national school of Biotechnology, Constantine, Algeria
      
cDepartment of Parasitology and Medical Entomology, Faculty of Medicine, Universiti Kebangsaan Malaysia, 56000 Cheras, Kuala Lumpur, Malaysia
      
dInstitute of Physical Chemistry (IPC) and Abbe Centre of Photonics (ACP), Friedrich Schiller University Jena, Member of the Leibniz Centre for Photonics in Infection Research (LPI), Helmholtzweg 4, 07743 Jena, Germany
      
eLeibniz Institute of Photonic Technology, Member of Leibniz Health Technologies, Member of the Leibniz Centre for Photonics in Infection Research (LPI), Albert-Einstein-Straße 9, 07745 Jena, Germany
    
First published on 12th December 2024
Giardia intestinalis, an intestinal protozoan parasite, is one of the potentially severe parasitic infections, especially in children. Rapid and simple diagnostic tools are highly desired to prevent the potential outbreak of G. intestinalis infection. The life cycle of Giardia species is quite simple and consists of trophozoite and cystic forms. This report presents the selection of ssDNA aptamers with high binding affinity to a G. intestinalis cyst recombinant protein using the SELEX process (systematic evolution of ligands by exponential enrichment). The process is based on incubating a random DNA library with the targeted protein, and the bound sequences are recovered and amplified by polymerase chain reaction (PCR). The generated pool of aptamer sequences is used in the subsequent selection round. After ten selection cycles, three sequences were isolated with low dissociation constants (Kd) of 7.98, 21.02, and 21.86 nM. Subsequently, the aptamer with the best affinity was integrated into a label-free electrochemical biosensor to detect G. intestinalis cyst protein. The developed aptasensor accurately detected the G. intestinalis recombinant cyst protein within the range of 0.1 pg mL−1 to 1000 ng mL−1, and a low detection limit of 0.0026 pg mL−1. Furthermore, a selectivity study showed insignificant cross-reactivity against other proteins such as bovine serum albumin and globulin, and no reactivity against G. intestinalis trophozoite recombinant protein. Finally, the aptasensor was tested using G. intestinalis-spiked tap water samples and showed good recovery rates.
Cysts are found in most natural water sources, such as rivers, lakes, ponds, and streams, but they are more likely to be found in areas contaminated with animal feces.5,6 Once G. intestinalis cysts enter the human body and are exposed to gastric acid, the excystation process starts which breaks down the hardy cyst wall. Then, in the small intestine, each cyst produces two excyzoites, then generates four trophozoites following cell division. Finally, some trophozoites initiate the encystation process and move to the lower intestine, where they are shed from the host's faeces to the outside environment as infective cysts.7,8 The standard methods used for G. intestinalis detection are based on microscopic observation of stained clinical samples, immunological and PCR tests.9,10 However, microscopic detection lacks from sensitivity, while molecular techniques are expensive and time-consuming.11
Aptamers are short single-stranded oligonucleotides selected to bind various molecules with high affinity and specificity.12 They are generated by SELEX process (systematic evolution of ligands by exponential enrichment), starting from a pool of 1014 to 1015 random oligonucleotide sequences. Target-specific candidates are recovered and amplified by polymerase chain reaction (PCR). The obtained pool of sequences is then exposed to iterative selection cycles with gradual increasing degrees of stringency to ensure the successful selection of high affinity binders.13 Finally, the selected aptamers are cloned and sequenced.14–16
Aptasensors, as their name suggests, use an aptamer as the biorecognition element to bind to an analyte, and the biorecognition mechanism is structure or conformational-dependent.17,18 Aptasensors are promising diagnostic tools that have shown high sensitivity and selectivity, low-cost fabrication, and high stability. Aptamers can be labelled with several types of dyes and modified with different chemical groups. They can be applied in a wide range of optical, and electrochemical biosensing.19 Electrochemical aptasensors have gained significant attention due to their exceptional sensitivity, selectivity, stability, and rapid response, combining the advantages of electrochemical techniques with the specific recognition ability of aptamers. The principle of detection is based on monitoring the variation of the electrical current resulting from the electrochemical interactions occurring at the electrode surface.20,21 Electrochemical aptasensors have been applied in different fields including environmental monitoring and biomedical diagnostics.22 There are several reports on parasite detection using aptasensor. Iqbal et al. developed a specific aptasensor to detect Crptosporidium parvum oocysts in spiked fresh fruits.23 In another report, Chakma et al. used the SELEX process to develop an ssDNA aptamer against the histine rich protein-II (HRP-II), a specific biomarker for Plasmodium falciparum.24 Young Lo et al. also developed an aptamer against P. falciparum HRP-II (PfHRP2) and subsequently an electrochemical aptamer-based biosensor to detect malaria.25 Recently, we applied the SELEX process to generate the first aptamer targeting a G. intestinalis trophozoite recombinant protein. Using the aptamer, we developed an electrochemical aptasensor exhibiting high affinity to the target.26
Herein, we focus on the selection of a second aptamer recognizing the G. intestinalis cyst recombinant protein via the SELEX process. After ten rounds, the selected candidate underwent an affinity test. The aptamer exhibiting the lowest dissociation constant was employed in the design of an electrochemical biosensing platform. The detection mode is based on the change of electron transfer resulting from the interaction between the aptamer and the cyst recombinant protein. A wide linear range of detection was achieved with a high sensitivity and selectivity against other potential interfering proteins. Finally, the analytical tests performed on spiked tap water samples demonstrated the applicability of our aptasensor without interfering effects. This work complements our previous study reporting trophozoite aptamer, allowing the discrimination between the two phases of G. intestinalis development.
          G. intestinalis cyst recombinant protein-conjugated beads (100 μL) were washed five times with 500 μL binding buffer and centrifuged at 1000 × g for 5 minutes. The DNA library was then incubated with the recombinant protein-conjugated beads for two hours at room temperature. After washing six times with the binding buffer, the bound sequences were eluted by adding 500 μL boiling water to the filter and incubating for 5 minutes at 90 °C, followed by centrifuging at 50![[thin space (1/6-em)]](https://www.rsc.org/images/entities/char_2009.gif) 000 × g for one minute. The elution step was repeated five times, and the DNA was collected. The DNA was concentrated by centrifuging at 17
000 × g for one minute. The elution step was repeated five times, and the DNA was collected. The DNA was concentrated by centrifuging at 17![[thin space (1/6-em)]](https://www.rsc.org/images/entities/char_2009.gif) 000 × g for 1 minute using an ultra-filtration device with a 3 kDa cut-off membrane.
000 × g for 1 minute using an ultra-filtration device with a 3 kDa cut-off membrane.
The eluted DNA pools were amplified by PCR. Taq Plus polymerase, buffer, 2 mM MgCl2, 200 μM dNTP, 0.2 μM of forward and reverse primers were used. PCR cycles were run as follows: 94 °C denaturation for 10 min, followed by 25 cycles of 94 °C for 1 min, 47 °C for 1 min, 72 °C for one minute, and a final extension step of 10 minutes at 72 °C. For asymmetric PCR, fluorescein amidites was used to prepare fluorescein-labeled oligonucleotide probes for detecting the complementary nucleic acids or primers for PCR. The collected DNA were quantified by UV-spectrophotometry and used for the subsequent selection cycle.
The DNA obtained from the last round of the SELEX was cloned into the pCR2.1-TOPO vector and transformed into Escherichia coli competent cells. Luria-Bertani (LB)-agar plates supplemented with ampicillin, X-Gal (5-bromo-4-chloro-3-indolyl-beta-D-galactoside), and IPTG (isopropyl beta-D-1-thiogalactopyranoside) were used to grow the recombinant Escherichia coli. The white (positive) colonies were picked and grown in LB liquid media. Subsequently, the ssDNA inserts (aptamers) were amplified using M13 forward and reverse primer sites within the vector. Finally, the identified aptamers specific to the G. intestinalis cyst recombinant protein were sequenced and aligned using the PRALINE software (https://www.ibi.vu.nl/programs/pralinewww/).
![[thin space (1/6-em)]](https://www.rsc.org/images/entities/char_2009.gif) 000, and 100
000, and 100![[thin space (1/6-em)]](https://www.rsc.org/images/entities/char_2009.gif) 000 pg mL−1) prepared in binding buffer were incubated on the aptasensor surface for 30 minutes. Then, the electrodes were washed with 1% phosphate buffered saline (PBS), pH 7.4 to remove the non-specific bound molecules. The electrochemical response was recorded in the presence of [Fe(CN)6]−4/−3 redox couple using square wave voltammetry (SWV). Selectivity experiments were conducted by incubating the aptasensor with 100 ng ml−1 of bovine serum albumin (BSA), globulin, and G. intestinalis trophozoite recombinant protein.
000 pg mL−1) prepared in binding buffer were incubated on the aptasensor surface for 30 minutes. Then, the electrodes were washed with 1% phosphate buffered saline (PBS), pH 7.4 to remove the non-specific bound molecules. The electrochemical response was recorded in the presence of [Fe(CN)6]−4/−3 redox couple using square wave voltammetry (SWV). Selectivity experiments were conducted by incubating the aptasensor with 100 ng ml−1 of bovine serum albumin (BSA), globulin, and G. intestinalis trophozoite recombinant protein.
      
    
    
      |  | ||
| Fig. 1 Fluorescence intensity of the Giardia intestinalis cyst recombinant protein-specific aptamers during the SELEX procedure. | ||
The obtained sequences were cloned into the pCR2.1-TOPO vector and transformed into E. coli competent cells. Twenty-two positive colonies were picked and sequenced, and three aptamer sequences were successfully obtained. The three sequences then underwent binding affinity studies. Finally, the obtained aptamers specific to G. intestinalis cyst protein were sequences and aligned via PRALINE software.
Secondary structure of the final aptameric ligand was predicted by online server Mfold shown in Fig. S1.† Overall secondary structure of an aptamer is critical for its function, as it directly influences its ability to bind to the target molecule. The flexibility of aptamers allows them to evolve and adapt to bind their targets. In cyst 1 aptamer, nucleotide 6–16 forms the stem-loop 1 (SL1) region, and nucleotide 20–30 forms the stem-loop 2 (SL2) region. For aptamers that bind proteins, the stem-loop structure can facilitate multiple, cooperative binding interactions, leading to stronger binding (higher affinity). The loop can act as a functional binding site, while the stem region could assist by stabilizing the aptamer-target complex. In addition, The stem-loop structure enables induced-fit mechanisms where the aptamer undergoes a conformational change upon binding, increasing the interaction strength.27 Moreover, a well-exposed and flexible loop, enhance the aptamer ability to interact with a wider range of amino acid residues on the protein, improving binding strength. On the other hand, the stem part, primarily stabilizing the loop, can also help orient the aptamer correctly for efficient interaction, thus increasing the aptamer-protein binding efficiency.28
Table 1 shows the three selected aptamer sequences, cyst 1, cyst 2, and cyst 3, and their corresponding Kd values (7.98, 21.02 and 21.86 nM). The aptamer exhibiting the lowest Kd (cyst 1) was chosen to perform the subsequent experiments to detect G. intestinalis cyst protein.
| Aptamer | Sequence (5′ → 3′) | K d (nM) | 
|---|---|---|
| Cyst 1 | 5′-TCA GTC ATT ATG TAT GCT TGA TCA CTT ATC CGT CTG CCG T-3′ | 7.98 | 
| Cyst 2 | 5′-ATC CAC ACG GCG AGC TGT ATT ATT GCC AAC TGA GCA AAT A-3′ | 21.02 | 
| Cyst 3 | 5′-GTG GAT TGT CGT ACG ACA TAA TAA TTG GAT ATC AGG ACA T-3′ | 21.86 | 
The cyclic voltammetric measurements carried out on the gold electrode in [Fe(CN)6]3−/4− redox couple solution prepared in PBS buffer at pH 7.4 are shown in Fig. 3, before and following each modification step. In the black curve with a peak-to-peak separation (ΔE) of around 0.17 V, the bare gold electrode displayed pure gold's distinct reversible CV behavior. It also displayed distinct anodic and cathodic peaks. The cyst recombinant protein aptamer then displayed a drop in the peak current and increased in the ΔE to 0.20 V, as shown in the red curve. The phenomenon can be explained by the negative charges of the ssDNA backbone, which acts as a barrier hampering the transfer of electrons to the surface. The decrease in current peaks confirmed the covalent attachment of aptamer molecules to the gold surface. Mercaptohexanol (MCH) was then added to displace the non-specifically adsorbed portions of the aptamers and guaranteed their vertical orientation, due to the repulsion between the negative alcohol terminus and the negatively charged DNA backbone. The significant decrease in peak currents and the ΔE increased to 0.24, shown in the blue curve, demonstrating the effective blocking step.
![[thin space (1/6-em)]](https://www.rsc.org/images/entities/char_2009.gif) 000, and 100
000, and 100![[thin space (1/6-em)]](https://www.rsc.org/images/entities/char_2009.gif) 000 pg ml−1) prepared in binding buffer were incubated onto the aptasensor surface for 30 minutes. After incubation, the electrodes were washed with PBS to remove the non-specifically bound molecules, and then the electrochemical measurements were recorded by square wave voltammetry in the presence of the redox couple [Fe(CN)6]4−/3− with a concentration of 5 mM prepared in PBS buffer, and at a pH value of 7.4. The voltammograms were recorded from −0.2 V to 0.6 V, applying an amplitude of 20 mV; step potential −5 mV; interval time 0.04 s; scan rate 125 mV s−1, and frequency 25 Hz.
000 pg ml−1) prepared in binding buffer were incubated onto the aptasensor surface for 30 minutes. After incubation, the electrodes were washed with PBS to remove the non-specifically bound molecules, and then the electrochemical measurements were recorded by square wave voltammetry in the presence of the redox couple [Fe(CN)6]4−/3− with a concentration of 5 mM prepared in PBS buffer, and at a pH value of 7.4. The voltammograms were recorded from −0.2 V to 0.6 V, applying an amplitude of 20 mV; step potential −5 mV; interval time 0.04 s; scan rate 125 mV s−1, and frequency 25 Hz.
          
            Fig. 4a shows the electrochemical responses of the aptasensor before and after binding with different concentrations of the cyst recombinant protein. We observed that the peak current decreased by increasing the G. intestinalis cyst protein concentration. This is due to the formation of the complex aptamer target. Our target is a cyst wall protein expressed and purified from the recombinant yeast, Pichia pastoris, and its bulky size can inhibit the electron transfer to the surface, resulting in a lower peak. The calibration curve shown in Fig. 4b was plotted using the electrochemical response recorded for each concentration. The response was calculated as ((i0 − i)/i0) % where i0 and i correspond to the values of the current peaks before and after the cyst recombinant protein binding, respectively. Fig. 4b showed good linearity obtained in the range of 0.1 pg mL−1 to 1![[thin space (1/6-em)]](https://www.rsc.org/images/entities/char_2009.gif) 000
000![[thin space (1/6-em)]](https://www.rsc.org/images/entities/char_2009.gif) 000 pg mL−1, with R2 of 0.96002. The linear regression equation was determined as ((i0 − i)/i0) % = 13.24 + 11.47
000 pg mL−1, with R2 of 0.96002. The linear regression equation was determined as ((i0 − i)/i0) % = 13.24 + 11.47![[thin space (1/6-em)]](https://www.rsc.org/images/entities/char_2009.gif) log cyst recombinant protein concentration in (pg mL−1). A detection limit of 0.0026 pg mL−1 was calculated as 3σ/b where σ is the standard deviation of the blank signal and b is the slope of the calibration curve. The calculated detection limit shows a high sensitivity of the proposed aptasensor for G. intestinalis cyst protein detection. This high sensitivity could be attributed to the self-assembled monolayer formed between the thiol group and the gold surface, providing a uniform and well oriented bioreceptors.29 All the measurements were done in triplicates, and the error bars represent the standard deviations of the three trials, demonstrating the high accuracy of the aptasensor.
log cyst recombinant protein concentration in (pg mL−1). A detection limit of 0.0026 pg mL−1 was calculated as 3σ/b where σ is the standard deviation of the blank signal and b is the slope of the calibration curve. The calculated detection limit shows a high sensitivity of the proposed aptasensor for G. intestinalis cyst protein detection. This high sensitivity could be attributed to the self-assembled monolayer formed between the thiol group and the gold surface, providing a uniform and well oriented bioreceptors.29 All the measurements were done in triplicates, and the error bars represent the standard deviations of the three trials, demonstrating the high accuracy of the aptasensor.
![[thin space (1/6-em)]](https://www.rsc.org/images/entities/char_2009.gif) :
:![[thin space (1/6-em)]](https://www.rsc.org/images/entities/char_2009.gif) 1. They were subsequently spiked with two concentrations of G. intestinalis recombinant protein within the analytical range (0.1 and 1 pg mL−1). Each sample was incubated with the developed aptasensor in the optimized experimental conditions, separately. The square wave voltammograms were recorded using the same parameters described above. The obtained peak currents were used to calculate the response ((i0 − i)/i0) % and compare the aptasensor performance in binding buffer and spiked samples. For the tested concentration 0.1 and 1 pg mL−1, the recovery percentages were 88.88% and 116%. These results are in the range 85–110% with RSDs lower than 5% showing the negligible matrix effect on the aptasensor response signal. The recovery percentages/rates are shown in Table 2 and they confirm the good applicability of the selected aptamer and the developed biosensor.
1. They were subsequently spiked with two concentrations of G. intestinalis recombinant protein within the analytical range (0.1 and 1 pg mL−1). Each sample was incubated with the developed aptasensor in the optimized experimental conditions, separately. The square wave voltammograms were recorded using the same parameters described above. The obtained peak currents were used to calculate the response ((i0 − i)/i0) % and compare the aptasensor performance in binding buffer and spiked samples. For the tested concentration 0.1 and 1 pg mL−1, the recovery percentages were 88.88% and 116%. These results are in the range 85–110% with RSDs lower than 5% showing the negligible matrix effect on the aptasensor response signal. The recovery percentages/rates are shown in Table 2 and they confirm the good applicability of the selected aptamer and the developed biosensor.
          
| Spiked concentration pg mL−1 | Amount found pg mL−1 | Recovery% | RSD% | 
|---|---|---|---|
| 0.1 | 0.09 | 88.88 | 4.2 | 
| 1 | 1.19 | 116 | 4.1 | 
Future studies to validate the aptasensor using clinical and environmental samples are needed, including testing more types of samples to confirm its specificity. The Giardia cyst aptasensor has potential applications in preventing giardiasis outbreaks by detecting contamination of G. intestinalis cysts in water sources used for drinking, farming, and recreation. It can also be combined in one chip with our previous Giardia trophozoite aptasensor to diagnose human giardiasis.
| Footnote | 
| † Electronic supplementary information (ESI) available. See DOI: https://doi.org/10.1039/d4sd00296b | 
| This journal is © The Royal Society of Chemistry 2025 |