This document describes research on developing a saliva test for detecting malaria. Key points:
- Current malaria testing requires blood samples, which has limitations in remote settings. A saliva-based test could improve screening.
- Previous studies found Plasmodium falciparum DNA can be detected in saliva using PCR, matching what is found in blood. Detection is repeatable with different extraction methods.
- Factors like extraction method, parasite density, and primer set influence the yield of detectable DNA in saliva. Detection thresholds can reach 0.1 parasites/μL.
- Future work aims to develop the benchtop saliva screening assay into a point-of-care test and explore detecting
2. Development of a Saliva Test for Malaria.
1
Mharakurwa S., 1
Siame M., 2
Sullivan D., 2
Shiff C.J., 1
Thuma P., 3
Geva E., 3
Abrams W., 3
Malamud D.
1
Malaria Institute at Macha, Namwala Road, Choma, Zambia
2
Johns Hopkins Bloomberg School of Public Health, Baltimore MD21205 USA
3
Department of Basic Sciences, College of Dentistry, New York University, NY10010, USA
3. BACKGROUND
New campaign for curbing the malaria scourge
• WHO, RBM, PMI, PATH, MACEPA public-private
partnerships
• Global scale-up of effective malaria intervention ACT’s,
ITN’s, IRS
• Possible local or regional elimination
Formidable disease resilience necessitates:
• efficient epidemiological surveillance
oresurgence/drug resistance
• accurate screening for asymptomatic reservoirs essential
• accurate diagnosis pivotal
4. 2007
N=330
OR (95% CI)
2008 and 2009
N=1151
OR (95% CI)
Comparison at the initial study visita
Crude model 1.00 (0.89, 1.12) 1.12 (0.46, 2.73)
Adjusted for seasonb
0.64 (0.34, 1.22) 0.74 (0.23, 2.42)
Adjusted for season and other participant and household
characteristicsc
0.68 (0.33, 1.39) 0.54 (0.15, 1.93)
Comparison during follow-upa
Crude model 0.48 (0.24, 0.98) 0.14 (0.05, 0.37)
Adjusted for seasonb
0.43 (0.20, 0.94) 0.12 (0.05, 0.31)
Adjusted for season and other participant and household
characteristicsc
0.41 (0.20, 0.88) 0.12 (0.05, 0.30)
Test-and-treat depletes malaria infection, Macha communities
Sutcliffe et al (2012) PlosOne 7(2): e31396
8. Current P. falciparum Screening Constraints
Necessitates drawing blood
Finger-prick
Venipuncture
Limitations
Obligatory use of needles/sharps in remote settings
oAdequately trained personnel –not readily available
VHW level
Home level
oBiohazard
Community blood taboos, beliefs etc
Repeated testing -drug/vaccine efficacy trials/monitoring
Low access to potential reservoirs for research/control
programmes
9. Macha Experiment, 2005
Persistent Community pressure/rumours
Saliva, Urine, filter paper samples
DNA Extraction
Saliva and urine yielded same expected PCR
amplicon as blood samples
10. 3D7/IC
(470-700bp)FC27
(290-420bp)
173Qs 173uD 173b M Qs - Qu - uD - b -173Qu
Is the infection in saliva the same as in blood sample?
P. falciparum Detection in Human Saliva
Mharakurwa et al (2006) Malar J 5: 103
12. Is P. falciparum DNA detection
repeatable?
MSP2 –chr 2
PfDHFR – chr 4
PfDHPS –chr 8
Pfmdr1 –chr 5
Pfcrt –chr 7
TA81 –chr 5
18S rRNA gene (chr 1, 5, 7, 11)
Chelex on filter paper
Whatman FTA classic
card
Whatman 903
Qiagen DNEasy kit
Oragene kit
Polyethylene glycol
(PEG)
Yes, by range of genomic primers and extraction methods, machines…
Yes, extracted at different time points with different methods
Yes, other investigators, using Real-time platform:
Nwakanma et al (2007) Am J Trop Med Hyg 77 (Suppl.): 233.
Nwakanma et al (2009) J Infect Dis 199 (11) 1567-74.
Buppan et al (2010) Malar. J. 9: 72
13. What are the determinants of amplicon
yield?
FACTOR SUMMARY
Extraction method Higher amplicon with Qiagen than Chelex
Urine: 2.24X higher
Saliva: 2.25X higher
Current saliva optimal
•sensitivity 96%
•specificity 98%
Sample type Saliva extracts:
1.6 fold higher amplicon yield than urine
Parasite density For each unit increase in log parasite density:
1.82-fold increase in amplicon yield
Primer set U1-U4 (370bp, 229bp) 18.5X more likely to
amplify than FC27 (750bp, 290-420bp)
16. What is the source of P. falciparum material in the saliva?
In process
Migrate bench-top assay to P.O.C. test -NYU collaboration
In process
Follow-up Work
Nucleic Acid Detection PfHRP II Antigen detection
PCR LAMP
Microfluidic POC device “Dipstick”/card POC test
17. Saliva Screening Advantages
Non-invasive, simpler, safer
Greater community participation/co-operation
Wider access to potential reservoirs for
research/control programmes
Strengthen research/surveillance
Reduced sample collection cost/workload
1000X more sensitive than RDT/microscopy
18. Acknowledgements
Gift Moono, Choolwe M. Nachibbatu
Patience Cheelo, Cliff Singanga
Petros Moono
Harry Hamapumbu
Communities, headmen & chiefs of Macha, Mapanza, Muchila
and Chikanta areas
MOH Zambia
Thank YOU
Notas do Editor
The Malaria Institute at Macha was set up by missionary doctors struggling to fight against malaria, notably Dr. phil Thuma through his US-based NGO MMRI, BIC, MoH and JHMRI to establish a malaria field research and training centre and officially opened in January 2005. It is full of challenges to run a lab in a rural area and in fact when it all started no prefessional could even contemplate coming here. However, as time would tell this turned out to be such a blessing for the community, for Zambia and indeed beyond. By 2010, the institute had to change its name to Macha Research Trust, because it was fire right in malaria ’s belly and the scourge was fast disappearing. As we speak now this lab now is only one of the labs as we have diversified to other major public health problems. In the next handful of slides I will share with you one of quite a few strategies fashioned at Macha labs.
There was also a striking shrink in terms of the mean, median and range overall distribution of expected heterozygosity per bar code locus for infections from 2008 compared to 2005. We are working on current ICEMR samples (accumulating slowly) and will compare with other sites where malaria is unchanged and resurging, respectively.
First of all we observed that there was selection for increasingly more submicroscopic infections over time from 2005 through 2009. This appeared like an adaptive response allowing the parasite population to exist in subpatent infections although malaria cases seemed to have almost disappeared. Clearly also the geometric mean parasite density decreased substantially on infections from 2008 compared to 2005.
We tracked changes in the Plasmodium parasite population in the community. Our hypothesis was that the parasite undergo genetic changes as it adapted to intervention. also we wanted to detect impact of intervention on the parasite population. I will show you the data we have so far. what we were able to do as part of my training was to employ barcode as well as MOI analysis to document changes in malaria parasite populatoon at Macha where there has been dramatically control.
Figure 2 Amplicon from saliva, urine and blood extracts of field samples 216, 34 and 210. Matching MSP2 alleles are seen in saliva (Qs) and blood (b) amplicon from each individual. In contrast, between-patient polymorphic differences are evident, reflecting diverse infections. Urine samples from these patients did not amplify, except that of 210 (210Qu). Qs, Qu denote Qiagen saliva and urine extracts, respectively, by crude lysate approach; Cu denotes Qiagen urine extracts, by cultured animal cells protocol; Du denotes Chelex direct extraction on whole urine. Qs-, Cu-, b- were corresponding extracts of saliva, urine and blood samples from healthy negative control, while 3D7 was positive control laboratory standard