| Literature DB >> 28086864 |
Kyoko Hayashida1, Kiichi Kajino2, Humphrey Simukoko3, Martin Simuunza4, Joseph Ndebe4, Amos Chota5, Boniface Namangala5, Chihiro Sugimoto1,6.
Abstract
BACKGROUND: Because of the low sensitivity of conventional rapid diagnostic tests (RDTs) for malaria infections, the actual prevalence of the diseases, especially those caused by non-Plasmodium falciparum (non-Pf) species, in asymptomatic populations remain less defined in countries lacking in well-equipped facilities for accurate diagnoses. Our direct blood dry LAMP system (CZC-LAMP) was applied to the diagnosis of malaria as simple, rapid and highly sensitive method as an alternative for conventional RDTs in malaria endemic areas where laboratory resources are limited.Entities:
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Year: 2017 PMID: 28086864 PMCID: PMC5237333 DOI: 10.1186/s13071-016-1949-8
Source DB: PubMed Journal: Parasit Vectors ISSN: 1756-3305 Impact factor: 3.876
LAMP and nested PCR primer sequences for Pf and non-Pf used in this study
| Primer set | Primer | Target species | Sequence (5'-3') |
|---|---|---|---|
| Non-Pf CZC-LAMP primer set (7 primers) | Non-Pf.Mt-FIP | Pv, Poc, Pow, Pm | AGGCTGCGATGAGACGACGCCGGGGATAACAGGTTATAGT |
| Non-Pf.Mt-BIP | Pv, Poc, Pow, Pm | AGCGTGTATTGTTGCCTTGTACTTAACGCCTGGAGTTCTTTATCTT | |
| Non-Pf.Mt-LF | Pv, Poc, Pow, Pm | TGGAGGTGCCAATAGTATATAAAGAT | |
| Non-Pf.Mt-LB | Pv, Poc, Pow, Pm | TGTACACACCGCTCGTCAC | |
| Pov.Mt-F3 | Pv, Poc, Pow | GGTGATTTTGTGTGCCGTT | |
| Pm.Mt-F3 | Pm | ACGGTTATTTTGTGTACCGTT | |
| Non-Pf.Mt-B3 | Pv, Poc, Pow, Pm | CGGCTGTTTCCATCTCAACT | |
| Pf CZC-LAMP primer set (6 primers) | Pf.newMt-FIP | Pf | CAGTATATTGATATTGCGTGACGACCTTGCAATAAATAATATCTAGCGTGT |
| P.f.Mt-BIPa | Pf | AACTCCAGGCGTTAACCTGTAATGATCTTTACGTTAAGGGC | |
| Pf.newMt-LF | Pf | GTGTACAAGGCAACAATACACG | |
| P.f.Mt-LBa | Pf | GTTGAGATGGAAACAGCCGG | |
| Pf.newMt-F3 | Pf | TATTGGCACCTCCATGTCG | |
| P.f.Mt-B3a | Pf | AACATTTTTTAGTCCCATGCTAA | |
| Non-Pf nested PCR primers | PnfMt-Fout | Pv, Poc, Pow, Pm | TGCTGTCATACATGATGCACTT |
| PnfMt-Rout | Pv, Poc, Pow, Pm | ATGTAGTTTCCTCACAGCTTTATTCA | |
| PnfMt-Fin | Pv, Poc, Pow, Pm | TGCTGTCATACATGATGCACTT | |
| PnfMt-Rin | Pv, Poc, Pow, Pm | ATAACATTTTTTAGTCCCATGCTAGTA |
aThe published LAMP primer sequence (PfMt869) [8] was used
Abbreviations: Pv P. vivax, Pow P. ovale wallikeri, Poc P. ovale curtisi, Pm P. malariae, Pf P. falciparum
Fig. 1LAMP primers designed for Pf and non-Pf malaria detection. Primer sets for Pf and non-Pf malaria are indicated in P. falciparum (Pf), P. vivax (Pv), P. ovale curtisi (Poc), P. ovale wallikeri (Pow), P. malariae (Pm), P. knowlesi and P. cynomolgi
Results of malaria diagnostic tests for archived extracted DNA of blood samples collected from Mwanya, eastern Zambia
| ID | ICT | Non-Pf CZC-LAMP | Non-Pf Nested PCR | PfMt869 LAMP [ | Pf CZC-LAMP | Pf Nested PCR |
|---|---|---|---|---|---|---|
| 1 | – | – | – | + | + | + |
| 7 | – | – | – | + | + | + |
| 9 | F | – | Pow | + | + | + |
| 10 | – | – | – | – | – | + |
| 11 | – | + | Pow | – | – | – |
| 13 | – | – | – | + | + | + |
| 14 | F | – | – | + | + | + |
| 15 | F | – | – | + | + | + |
| 17 | F | + | Pm | + | + | + |
| 18 | – | – | Pm + Poc | + | + | + |
| 19 | – | – | – | + | + | + |
| 20 | – | – | – | + | + | + |
| 23 | – | – | – | + | + | + |
| 27 | F, NF | + | Poc | + | + | + |
| 29 | F | – | – | + | + | + |
| 30 | F | + | Poc | + | + | + |
| 32 | – | + | Pm | + | + | + |
| 34 | – | – | Pm + Poc | + | + | + |
| 40 | F, NF | – | – | + | + | + |
| 41 | – | – | – | – | – | + |
| 42 | – | + | Pm | – | – | + |
| 43 | – | – | – | + | + | + |
| 44 | – | + | Poc | – | – | – |
| 45 | F | – | – | + | + | + |
| 50 | NF | + | Pm | – | – | – |
| 52 | F | + | Pm | + | + | + |
| 54 | – | – | – | – | – | + |
| 55 | F | + | Pm | + | + | + |
| 58 | F | + | Pm | + | + | + |
| 61 | F, NF | + | Pm | + | + | + |
| 63 | F | + | Poc | + | + | + |
| 64 | F | + | Pm | + | + | + |
| 65 | F | – | – | + | + | + |
| 66 | – | + | Pm | + | + | + |
| 71 | – | – | – | – | + | + |
| 73 | F, NF | – | – | – | – | – |
| 75 | – | – | – | + | + | + |
| 80 | – | – | – | + | + | – |
| 85 | – | + | Pm | – | + | + |
| 87 | F | + | Pm | + | + | + |
| 89 | – | – | – | + | + | + |
| 91 | F | – | – | + | + | + |
| 95 | – | + | Pm | + | + | + |
| 103 | F | – | – | + | + | + |
Abbreviations: F P. falciparum positive in ICT, NF non-P. falciparum positive in ICT, Pow P. ovale wallikeri, Poc P. ovale curtisi, Pm P. malariae
Diagnostic accuracy of malaria LAMPs for archived extracted DNA of blood samples collected from Mwanya, eastern Zambia
| Pf CZC-LAMP | PfMt869-LAMPa | non-Pf CZC-LAMP | ||
|---|---|---|---|---|
| % (95% CI) | % (95% CI) | % (95% CI) | ||
| Total | Sensitivity | 89.7 (79.9–99.5) | 84.6 (72.9–96.3) | 85.7 (69.9–100) |
| Specificity | 97.2 (91.7–100) | 97.1 (91.2–100) | 100 | |
| ICT positive | Sensitivity | 100 | 100 | 100 |
| Specificity | 100 | 100 | 100 | |
| ICT negative | Sensitivity | 80.0 (61.3–98.7) | 70.0 (48.6–91.4) | 83.3 (64.8–100) |
| Specificity | 94.1 (82.0–100) | 93.3 (79.5–100) | 100 |
aThe published LAMP primer sequence (PfMt869) [8] was used
Fig. 2Visual determination of positive and negative samples. Examples of malaria CZC-LAMP tubes after the reaction. It is not possible to determine positive or negative under natural light due to the interference by hemoglobin (lower). However, positive samples emit green fluorescence under 505 nm blue-green light (upper)
Results of malaria CZC-LAMP for blood samples collected from Chinshimbwe, eastern Zambia
| ID | ICT | Non-Pf CZC-LAMP | Non-Pf Nested PCR | Pf CZC-LAMP | Pf Nested PCR |
|---|---|---|---|---|---|
| C01 | – | + | Pm | + | + |
| C04 | F | + | Pm | + | + |
| C05 | – | – | – | + | + |
| C06 | F | – | – | + | + |
| C07 | – | – | – | + | + |
| C09 | – | – | – | + | + |
| C10 | F, NF | – | – | + | + |
| C12 | F | – | – | + | + |
| C14 | – | – | – | + | + |
| C15 | F | + | Poc | + | + |
| C16 | – | – | – | + | + |
| C17 | F | – | – | + | + |
| C19 | F | – | – | + | + |
| C22 | F | + | Pm | + | + |
| C23 | F | – | – | + | + |
| C24 | – | + | Pm | + | + |
| C25 | – | – | – | + | + |
| C26 | – | + | Pm | + | + |
| C27 | F | – | – | + | + |
| C30 | F, NF | + | Pm | + | + |
| C31 | F | – | – | – | – |
| C32 | F | – | – | + | + |
| C33 | F | – | – | – | – |
| C35 | – | + | Pow | + | + |
Abbreviations: F P. falciparum positive in ICT, NF non-P. falciparum positive in ICT, Pow P. ovale wallikeri, Poc P. ovale curtisi, Pm P. malaria
Results of malaria CZC-LAMP for blood samples collected from Shikabeta, eastern Zambia
| ID | ICT | Non-Pf CZC-LAMP | Nested PCR non-Pf | Pf CZC-LAMP | Nested PCR Pf |
|---|---|---|---|---|---|
| S03 | – | – | – | + | + |
| S06 | – | – | – | + | + |
| S09 | – | + | Poc | – | – |
| S10 | F, NF | + | Pm | + | + |
| S11 | F, NF | + | Pm | + | + |
| S12 | F | + | Pm | + | + |
| S14 | F | + | Pm | + | + |
| S15 | F | + | Pm + Poc | + | + |
| S18 | – | – | – | + | + |
| S19 | F | + | Pm | – | – |
| S20 | – | + | Pm | – | – |
| S22 | – | + | Poc | + | + |
| S23 | F, NF | + | Pm | + | + |
| S24 | – | – | – | + | + |
| S25 | F | + | Pm | + | + |
| S26 | F | – | – | – | – |
| S27 | – | + | Poc | – | – |
| S29 | – | + | Pm | + | + |
| S31 | F, NF | + | Pv | + | + |
| S32 | F | + | Pm | + | + |
| S33 | – | + | Pm | – | – |
| S35 | F, NF | + | Pm | + | + |
| S36 | F, NF | + | Pm | + | + |
| S37 | F, NF | + | Pm | + | + |
| S38 | F | – | – | + | + |
| S39 | – | + | Pow | – | – |
| S40 | – | – | – | + | + |
| S41 | F | – | – | – | – |
| S42 | F, NF | + | Pm | + | + |
| S43 | F | + | Pow | + | + |
| S44 | NF | + | Pm | – | + |
| S47 | – | – | – | + | + |
| S48 | F | + | Pm | + | + |
| S50 | – | – | Poc | – | – |
| S51 | F | – | Pm | + | + |
| S52 | F, NF | + | Poc | + | + |
| S54 | F, NF | + | Pm | + | + |
| S56 | – | – | – | + | – |
| S57 | F | – | – | – | – |
| S59 | – | – | Pm | + | + |
| S61 | F, NF | + | Pm | + | + |
Abbreviations: F P. falciparum positive in ICT, NF non-P. falciparum positive in ICT, Pow P. ovale wallikeri, Poc P. ovale curtisi, Pm P. malariae
Diagnostic accuracy of malaria CZC-LAMP for blood samples collected from Chinshimbwe and Shikabeta, eastern Zambia
| Pf CZC-LAMP | Non-Pf CZC-LAMP | ||
|---|---|---|---|
| % (95% CI) | % (95% CI) | ||
| Total | Sensitivity | 98.1 (94.3–100) | 92.1 (83.3–100) |
| Specificity | 98.1 (94.3–100) | 100 | |
| ICT positive | Sensitivity | 100 | 100 |
| Specificity | 100 | 100 | |
| ICT negative | Sensitivity | 95.0 (84.8–100) | 88.0 (74.6–100) |
| Specificity | 95.0 (84.8–100) | 100 |