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Table 3 Three criteria to select the most promising antigens

From: Serological markers to measure recent changes in malaria at population level in Cambodia

 

Antigens

Ags selection based on the three criteria

PCR+ vs PCR− valuesa

Half-lives (PCR+)b

Differences in interceptc

Sensitivity by endemicityd

P. falciparum

CSP

+

+

+

+

Pf13

+

+

−

+

STARP.R

++

+

+

+

SALSA2

+

++

+

+

SR11.1

+

+

+

+

LSA1.41

++

+

−

++

LSA1.J

+

+

+

±

LSA3.RE

++

++

++

++

Pf.MSP1.19

+

−

−

−

GLURP

++

++

++

++

Pf.GLURP.R2

++

++

++

++

P. vivax

PvVK210.CSP

−

−

−

±

PvVK247.CSP

−

−

−

±

PvCSP

−

−

−

–

PvAMA1

−

−

−

±

PvEBP

++

−

++

++

PvDBP

−

−

−

−

Pv.MSP1.19

−

−

−

−

Vectors

SALIV1

−

−

−

−

SALIV2

−

+

−

−

  1. Three criteria are used to select the most promising Ags for recent malaria infection. These criteria are based on: (1) the outcome of the estimated Ab-responses based on the differences in ln(MFI) between PCR positive and PCR negative individuals, (2) the assessed half-lives with the best Ab-responses of <7.5 months followed by Ab-responses between 8.5 months until 1 year and finally (3) the sensitivity to the level of malaria endemicity in communities
  2. aDifference in ln(MFI) (ln-MFI PCR+ −ln-MFI PCR−); ++ (value > 1), + (value > 0.5),−(value < 0.5)
  3. bHalf-lives estimated via linear regression models; ++ (half-life < 7.5 months), + (half-life between 8.5 months–1 year),− (half-life > 1 year)
  4. cDifference in intercept between PCR+ and PCR− for half-life estimation; ++ (intercept difference > 2), + (intercept difference between 1 and 2), − (intercept difference < 1)
  5. dSensitivity by endemicity estimated via linear regression models; ++ (IRR of PCR prev. decline with > 0.2, IRR increase by age with >4), + (IRR of PCR prev. decline with >0.1, IRR increase by age with >1)