A Novel Peptide Aptamer to Detect Plasmodium falciparum Lactate Dehydrogenase.

Alternative antibody (aptamer)-based biosensors are attracting increasing attention owing to advantages such as simplicity and low cost, which are beneficial for point-of-care diagnosis, particularly where resources are limited. In this study based on in silico modeling predictions made with Autodock Vina, the binding affinity of an optimized novel peptide (Pf_P1: KITTTDEEVEGIFD) was altered compared to that of the original epitope peptide (P1: KITDEEVEGIFDC). The binding energy of Pf_P1 implies that it has stronger interactions with Plasmodium falciparum lactate dehydrogenase (LDH) than with human LDH. Fluorescence-linked immunosorbent assay (FLISA) demonstrated significant interactions (P < 0.05) between the Pf_P1 peptide and P. falciparum LDH at 35.7 nmol. A peptide- and antibody-linked sandwich FLISA was able to detect at least 100 infected red blood cells (RBC)/µL significantly (P < 0.001). The clinical diagnostic performance of peptide- and antibody-linked sandwich FLISA was evaluated using blood samples from patients infected by P. falciparum with parasitemia values of 151 to 128,636. All positive samples exhibited higher fluorescence than normal samples did. In conclusion, in silico modeling was used to efficiently design a Plasmodium LDH epitope-derived peptide aptamer to function as an alternative to antibodies in immunoassays.

Development of a novel peptide aptamer-based immunoassay to detect Zika virus in serum and urine.

Zika virus (ZIKV) has been identified as a cause of adverse outcomes of pregnancy, including microcephaly and other congenital diseases. Most people infected with ZIKV do not show any symptoms. Development of a method to discriminate dengue virus (DENV) and ZIKV infections has been challenging, and efficient assays for patient management are limited, attributable to high levels of cross-reactivity among co-circulating Flaviviruses. Thus, there is an urgent need for a specific high-throughput diagnostic assay to discriminate ZIKV infections from other Flavivirus infections. Methods: A novel epitope peptide of the ZIKV envelope protein was predicted using three immune epitope database analysis tools and then further modified. A molecular docking study was conducted using three-dimensional structures of the ZIKV envelope and peptide. Experimentally, interactions between the selected peptides and virus were assessed via a fluorescence-linked sandwich immunosorbent assay (FLISA), and performance of peptide-linked sandwich FLISA was evaluated in virus-spiked human serum and urine. Results: The Z_10.8 peptide (KRAVVSCAEA) was predicted to be a suitable detector, with a higher binding affinity than other candidates based on four criteria (binding affinity, root mean square deviation, position of amine residue of lysine at the N-terminus, and interactive site) in a docking study. Z_10.8 was significantly more efficient at detecting ZIKV than the other two peptides, as shown in the direct FLISA (P < 0.001). Further, the equilibrium dissociation constant (Kd) for the Z_10.8 peptide was 706.0 ± 177.9 (mean ± SD, nM), with specificity to discriminate ZIKV from DENV. The limit of detection for the sandwich FLISA was calculated as 1×104 tissue culture infective dose (TCID)50/mL. The presence of serum or urine did not interfere with the performance of the Z_10.8-linked sandwich FLISA. Conclusion: Four criteria are suggested for the development of an in silico modeled peptide aptamer; this computerized peptide aptamer discriminated ZIKV from DENV via immunoassay.

Rapid detection of avian influenza A virus by immunochromatographic test using a novel fluorescent dye.

Sensitive and rapid diagnostic systems for avian influenza (AI) virus are required to screen large numbers of samples during a disease outbreak and to prevent the spread of infection. In this study, we employed a novel fluorescent dye for the rapid and sensitive recognition of AI virus. The styrylpyridine phosphor derivative was synthesized by adding allyl bromide as a stable linker and covalently immobilizing it on latex beads with antibodies generating the unique Red dye 53-based fluorescent probe. The performance of the innovative rapid fluorescent immnunochromatographic test (FICT) employing Red dye 53 in detecting the AI virus (A/H5N3) was 4-fold and 16-fold higher than that of Europium-based FICT and the rapid diagnostic test (RDT), respectively. In clinical studies, the presence of human nasopharyngeal specimens did not alter the performance of Red dye 53-linked FICT for the detection of H7N1 virus. Furthermore, in influenza A virus-infected human nasopharyngeal specimens, the sensitivity of the Red dye 53-based assay and RDT was 88.89% (8/9) and 55.56% (5/9) relative to rRT-PCR, respectively. The photostability of Red dye 53 was higher than that of fluorescein isothiocyanate (FITC), showing a stronger fluorescent signal persisting up to 8min under UV. The Red dye 53 could therefore be a potential probe for rapid fluorescent diagnostic systems that can recognize AI virus in clinical specimens.

Improvement of a rapid diagnostic application of monoclonal antibodies against avian influenza H7 subtype virus using Europium nanoparticles.

The development of a sensitive and rapid diagnostic test is needed for early detection of avian influenza (AI) H7 subtype. In this study, novel monoclonal antibodies (mAbs) against influenza A H7N9 recombinant hemagglutinin (rHA)1 were developed and applied to a Europium nanoparticle-based rapid fluorescent immunochromatographic strip test (FICT) to improve the sensitivity of the rapid diagnostic system. Two antibodies (2F4 and 6D7) exhibited H7 subtype specificity in a dot-FICT assay by optimization of the conjugate and the pH of the lysis buffer. The subtype specificity was confirmed by an immunofluorescence assay and Western blot analysis. The limit of detection of the FICT employing novel mAbs 31 ng/mL for H7N9 rHA1 and 40 hemagglutination units/mL for H7 subtype virus. Sensitivity was improved 25-fold using Europium as confirmed by comparison of colloidal gold-based rapid diagnostic kit using the 2F4 and 6D7 mAbs.

Rapid Detection of Avian Influenza Virus by Fluorescent Diagnostic Assay using an Epitope-Derived Peptide.

Currently, the point of care testing (POCT) is not fully developed for subtype-specific avian influenza virus detection. In this study, an H5N1 hemaglutinin 1 (HA1) epitope (P0: KPNDAINF) and three modified peptides (P1: KPNTAINF, P2: KPNGAINF, P3: KPNDAINDAINF) were evaluated as POCT elements for rapid detection of avian influenza virus. Based on modeling predictions by Autodock Vina, binding affinity varied depending on alteration of one amino acid in these peptides. The binding energy of P2 indicated its potential for a strong interaction with HA. Fluorescence-linked immunosorbent assay experimentally demonstrated the interaction between these peptides and virus. The four peptides interacted with HA1 of H5N3 with different binding affinities with P2 showing the strongest binding affinity. When P0 and P2 peptides were used in rapid fluorescent immunochromatographic test (FICT) as detection elements, the inter-assay coefficients of variation (CV) indicated that P2-linked FICT was more acceptable than the P0-linked FICT in the presence of human specimens. Antibody pair-linked FICT was influenced by clinical samples more than the P2-linked FICT assay, which showed a 4-fold improvement in the detection limit of H5N3 and maintained H5 subtype-specificity. Compared to the rapid diagnostic test (RDT) which is not specific for influenza subtypes, P2-linked FICT could increase virus detection. In conclusion, results of this study suggest that HA epitope-derived peptides can be used as alternatives to antibodies for a rapid fluorescent diagnostic assay to detect avian influenza virus.

Smartphone-Based Fluorescent Diagnostic System for Highly Pathogenic H5N1 Viruses.

Field diagnostic tools for avian influenza (AI) are indispensable for the prevention and controlled management of highly pathogenic AI-related diseases. More accurate, faster and networked on-site monitoring is demanded to detect such AI viruses with high sensitivity as well as to maintain up-to-date information about their geographical transmission. In this work, we assessed the clinical and field-level performance of a smartphone-based fluorescent diagnostic device with an efficient reflective light collection module using a coumarin-derived dendrimer-based fluorescent lateral flow immunoassay. By application of an optimized bioconjugate, a smartphone-based diagnostic device had a two-fold higher detectability as compared to that of the table-top fluorescence strip reader for three different AI subtypes (H5N3, H7N1, and H9N2). Additionally, in a clinical study of H5N1-confirmed patients, the smartphone-based diagnostic device showed a sensitivity of 96.55% (28/29) [95% confidence interval (CI): 82.24 to 99.91] and a specificity of 98.55% (68/69) (95% CI: 92.19 to 99.96). The measurement results from the distributed individual smartphones were wirelessly transmitted via short messaging service and collected by a centralized database system for further information processing and data mining. Smartphone-based diagnosis provided highly sensitive measurement results for H5N1 detection within 15 minutes. Because of its high sensitivity, portability and automatic reporting feature, the proposed device will enable agile identification of patients and efficient control of AI dissemination.