A portable microfluidic Aptamer-Tethered Enzyme Capture (APTEC) biosensor for malaria diagnosis

Fraser, Lewis A.; Kinghorn, Andrew B.; Dirkzwager, Roderick M.; Liang, Shuailong; Cheung, Yiu-ming; Lim, Bryce; Shiu, Simon Chi‐Chin; Tang, Marco S. L.; Andrew, Dean; Manitta, Joseph; Richards, Jack S.; Tanner, Julian A.

doi:10.1016/j.bios.2017.10.001

Cited by 101 publications

(53 citation statements)

References 41 publications

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“…In the aptamer-tethered enzyme capture (APTEC) assay, the beads conferred a wide surface area for analyte binding to produce a LoD of 4.9 ng/mL for recombinant PfLDH (Table 2). Further work integrated the APTEC assay into a portable microfluidic biosensor ( Figure 4B) [64]. The platform resolved some of the assay's initial limitations of large sample and reagent volumes while detecting P. falciparum with high specificity and sensitivity in cultures and clinical samples.…”

Section: Detection Of Pldh In Clinical Samplesmentioning

confidence: 99%

Recent Advances in the Development of Biosensors for Malaria Diagnosis

Krampa

Aniweh

Kanyong

et al. 2020

Sensors

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The impact of malaria on global health has continually prompted the need to develop more effective diagnostic strategies that could overcome deficiencies in accurate and early detection. In this review, we examine the various biosensor-based methods for malaria diagnostic biomarkers, namely; Plasmodium falciparum histidine-rich protein 2 (PfHRP-2), parasite lactate dehydrogenase (pLDH), aldolase, glutamate dehydrogenase (GDH), and the biocrystal hemozoin. The models that demonstrate a potential for field application have been discussed, looking at the fabrication and analytical performance characteristics, including (but not exclusively limited to): response time, sensitivity, detection limit, linear range, and storage stability, which are first summarized in a tabular form and then described in detail. The conclusion summarizes the state-of-the-art technologies applied in the field, the current challenges and the emerging prospects for malaria biosensors.Sensors 2020, 20, 799 2 of 21 emergence and spread of drug resistance. It could also reduce the pool of individuals who can contribute to malaria transmission [5].To date, many technologies have attempted to circumvent the challenges in malaria diagnostics with technologies that address point-of-care needs and early stage asymptomatic detection. In this review, we first comprehensively summarize the biomarkers targeted during the course of malaria with emphasis on the importance of sensitive early detection. Next, we provide an overview of the recent advances in biosensor technologies for the detection of the most targeted biomarkers, focusing on: development, analytical performances, and suitability for point of care testing. The prevailing challenges and future outlook of the use of these technologies in the field are also highlighted. Parasite Development in Humans, Biomarkers, and DiagnosisThe developmental cycle of Plasmodium species that infect humans is briefly illustrated in Figure 1 [6]. The cycle begins with the injection of sporozoites into the host's circulation by an infected female Anopheles mosquito. The sporozoites then target and enter hepatocytes where they multiply and differentiate into merozoites. This stage of the parasite life cycle is known as pre-erythrocytic. In infections involving P. vivax and P. ovale, dormant forms of the liver stage, called hypnozoites may persist in the liver [7] and cause relapse of the infection, thereby making it difficult to eradicate. The pre-erythrocytic stage is essential in the establishment of malaria infection. This stage is asymptomatic, however, it is difficult for diagnostic tools to detect sporozoites because hepatocytes invasion occurs within 30-45 min after sporozoites are inoculated by the infected mosquito [8,9]. This short time and low numbers of sporozoites injected leaves little time for their detection. Some efforts in finding biomarkers for detection of early liver stage or the dormant form have identified the Plasmodium liver-specific protein 2 (LISP2) [10,11]. The sporozoite surface circum...

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Section: Detection Of Pldh In Clinical Samplesmentioning

confidence: 99%

Recent Advances in the Development of Biosensors for Malaria Diagnosis

Krampa

Aniweh

Kanyong

et al. 2020

Sensors

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“…[20] Our group previously isolated a Plasmodium falciparum lactated ehydrogenase (PfLDH) aptamer and demonstrated its versatility through different methods, including colorimetric assay,e lectrochemistry,p ortable microfluidic device, and nanoparticle-mediated sensing. [21] We also showedt he incorporation of this aptamer on aD NA origami scaffold for precise positioning of PfLDH. [22] Recently,w ei ntegrated this PfLDH aptamer into DNA nanotweezers, aD NA origami box, and DNA polyhedra fors ensing purposes, each with differentm echanisms.…”

Section: Introductionmentioning

confidence: 95%

The Three S's for Aptamer‐Mediated Control of DNA Nanostructure Dynamics: Shape, Self‐Complementarity, and Spatial Flexibility

et al. 2018

Self Cite

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DNA aptamers are ideal tools to enable modular control of the dynamics of DNA nanostructures. For molecular recognition, they have a particular advantage over antibodies in that they can be integrated into DNA nanostructures in a bespoke manner by base pairing or nucleotide extension without any complex bioconjugation strategy. Such simplicity will be critical upon considering advanced therapeutic and diagnostic applications of DNA nanostructures. However, optimizing DNA aptamers for functional control of the dynamics of DNA nanostructure can be challenging. Herein, we present three considerations-shape, self-complementarity, and spatial flexibility-that should be paramount upon optimizing aptamer functionality. These lessons, learnt from the growing number of aptamer-nanostructure reports thus far, will be helpful for future studies in which aptamers are used to control the dynamics of nucleic acid nanostructures.

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“…In recent years, more and more targets for detection on diagnostic chips have been investigated. Some salient examples thereof are circulating tumor cells (CTC) of various types of cancer [1,[36][37][38], rare cells (e.g., sickle-cell variants of red blood cells) [39,40], parasites, like Plasmodium falciparum [1,7,10,11,[13][14][15][21][22][23]36,[41][42][43][44][45][46][47][48][49][50] and Trypanosoma spp. [8,44,[51][52][53][54][55][56][57] and even plant pathogens [26,58], as well as-after cells have been lysed-subcellular infection markers (e.g., DNA, RNA fragments) [10,11,22,43,[59][60][61][62].…”

Section: What We Can Detectmentioning

confidence: 99%

Lab-on-a-Chip Technologies for the Single Cell Level: Separation, Analysis, and Diagnostics

Hochstetter

2020

Micromachines

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In the last three decades, microfluidics and its applications have been on an exponential rise, including approaches to isolate rare cells and diagnose diseases on the single-cell level. The techniques mentioned herein have already had significant impacts in our lives, from in-the-field diagnosis of disease and parasitic infections, through home fertility tests, to uncovering the interactions between SARS-CoV-2 and their host cells. This review gives an overview of the field in general and the most notable developments of the last five years, in three parts: 1. What can we detect? 2. Which detection technologies are used in which setting? 3. How do these techniques work? Finally, this review discusses potentials, shortfalls, and an outlook on future developments, especially in respect to the funding landscape and the field-application of these chips.

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A portable microfluidic Aptamer-Tethered Enzyme Capture (APTEC) biosensor for malaria diagnosis

Cited by 101 publications

References 41 publications

Recent Advances in the Development of Biosensors for Malaria Diagnosis

Recent Advances in the Development of Biosensors for Malaria Diagnosis

The Three S's for Aptamer‐Mediated Control of DNA Nanostructure Dynamics: Shape, Self‐Complementarity, and Spatial Flexibility

Lab-on-a-Chip Technologies for the Single Cell Level: Separation, Analysis, and Diagnostics

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