| Literature DB >> 24885206 |
Brian J Taylor, Anita Howell, Kimberly A Martin, Dammika P Manage, Walter Gordy, Stephanie D Campbell, Samantha Lam, Albert Jin, Spencer D Polley, Roshini A Samuel, Alexey Atrazhev, Alex J Stickel, Josephine Birungi, Anthony K Mbonye, Linda M Pilarski, Jason P Acker, Stephanie K Yanow1.
Abstract
BACKGROUND: Access to timely and accurate diagnostic tests has a significant impact in the management of diseases of global concern such as malaria. While molecular diagnostics satisfy this need effectively in developed countries, barriers in technology, reagent storage, cost and expertise have hampered the introduction of these methods in developing countries. In this study a simple, lab-on-chip PCR diagnostic was created for malaria that overcomes these challenges.Entities:
Mesh:
Year: 2014 PMID: 24885206 PMCID: PMC4029813 DOI: 10.1186/1475-2875-13-179
Source DB: PubMed Journal: Malar J ISSN: 1475-2875 Impact factor: 2.979
Figure 1A prototype hydrogel wax chip and manufactured plastic chip for malaria diagnosis. (A) Core concept for hydrogel PCR. A single hydrogel strip (yellow) is desiccated and adheres to one surface of the chip creating a channel underneath for sample delivery. Blood flows through the channel by capillary force and is absorbed by the gel. (B) A wax chip with trenches overlaid with hydrogel bound to a glass coverslip. Blood is manually loaded into the channel below each hydrogel strip. (C) A plastic chip composed of top and bottom pieces of molded plastic. The gel is housed within a well in the top piece. In the current study, blood was added directly to the hydrogel in the open chip, and the two pieces of plastic were sealed prior to PCR. With this design, blood can also be added via the circular sample ports in the pre-sealed chip.
Figure 2Malaria detection on hydrogel wax chips. (A) The ‘Gelcycler’, a custom-built, miniaturized real-time PCR instrument. (B) Raw SYBR green fluorescence images from positive and negative control wells in the wax chip. (C) Real-time PCR amplification curves and (D) melt curve analysis of the negative (gray) and positive (red) controls in (B). (E, F)Plasmodium DNA detected from clinical samples and a spiked P. knowlesi sample using PCR with conserved primers. Positive samples exhibit an amplification curve (E) and melt curve (F) at the appropriate melting temperature for each species.
Figure 3Diagnosis in hydrogel plastic chips. (A, B) On-chip detection of parasite DNA directly from clinical samples and a spiked P. knowlesi sample with the consensus PCR primers. (C, D) Limit of detection analysis with dilutions of ring-synchronized P. falciparum parasites grown in culture.
Figure 4PCR sensitivity is maintained after storage. (A, B) Serial dilutions of P. falciparum cultures run on chips that were loaded with hydrogel reagents, desiccated and stored for 4 months at 37°C.
Demographic and clinical characteristics of patients included in the blind panel from Uganda (n = 188)
| Presentation | |
| Asymptomatic (n [%]) | 72 [38.3] |
| Clinical malaria (n [%]) | 116 [61.7] |
| Pregnancy status | |
| In antenatal care (n [%]) | 184 [97.9] |
| At delivery (n [%]) | 4 [2.1] |
| Median parasitemia [range] | 440 parasites/μL [1 – 94800] |
Performance characteristics of the hydrogel plastic chip compared with microscopy and conventional real-time PCR
| | | | ||||
|---|---|---|---|---|---|---|
| Pos (n) | 137 | 5 | 96.5% (92.0 – 98.5) | 63.0% (48.6 – 75.5) | 0.653 (0.521 – 0.785) | |
| Neg (n) | 17 | 29 | ||||
| Pos (n) | 152 | 4 | 97.4% (93.5 – 99.0) | 93.8% (79.9 – 98.3) | 0.890 (0.803 – 0.976) | |
| Neg (n) | 2 | 30 | ||||
*Determined using microscopy or conventional real-time PCR as the comparator.
Figure 5On-chip detection of and . Clinical samples from patients infected with P. falciparum (blue) and P. vivax (green), a 1:1 mixture of each species (red) or uninfected (gray), were tested on hydrogel plastic chips with PCR primers specific for P. falciparum(A, B) and P. vivax(C, D). Amplification (left panels) for each species was confirmed by melt curve analysis (right panels).
Figure 6The ‘Accutas’ system. Shown with a laptop in (A) and with the top open (B), this smaller, rugged design features an LED light source, operability within a wider ambient temperature range, and automated data reporting.
Third party assessment of the Accutas (n = 38)
| | | | ||||
|---|---|---|---|---|---|---|
| Pos (n) | 29 | 1 | 96.7% (83.3 – 99.4) | 100% (67.6 – 100.0) | 0.924 (0.778 – 1.000) | |
| Neg (n) | 0 | 8 | ||||