Literature DB >> 32265905

Corrigendum: Immune Responses to Gametocyte Antigens in a Malaria Endemic Population-The African falciparum Context: A Systematic Review and Meta-Analysis.

Michelle K Muthui1, Alice Kamau1, Teun Bousema2,3, Andrew M Blagborough4,5, Philip Bejon1,6, Melissa C Kapulu1,6.   

Abstract

[This corrects the article DOI: 10.3389/fimmu.2019.02480.].
Copyright © 2020 Muthui, Kamau, Bousema, Blagborough, Bejon and Kapulu.

Entities:  

Keywords:  Pfs230; Pfs48/45; Plasmodium falciparum; gametocytes; immunity

Year:  2020        PMID: 32265905      PMCID: PMC7104801          DOI: 10.3389/fimmu.2020.00389

Source DB:  PubMed          Journal:  Front Immunol        ISSN: 1664-3224            Impact factor:   7.561


In the original article, there were errors in Tables 1, 2 and 3, and to the text. In Table 1, one of the two study sites from Amoah et al.'s study (Parasites & Vectors, 2018) was erroneously excluded from the table hence the study was presented as one site, the age range of study participants from the Stone et al. (Nature Communications, 2018) study site “Hauts-Bassins (Burkina Faso)” was mistakenly indicated as “2–74” instead of “5–14” years and the reference for Skinner et al. given as “35” instead of “33”. These errors have been corrected and the amended table appears in this article.
Table 1

Characteristics of studies included in the systematic review and meta-analysis.

Study (Reference)YearCountryRegion of study sitecSample sizeAge group (years)Antigen detectedSeasonality tested (Y/N)AssaySeropositivity cut-offNegative controldSelective recruitmente
Amoah et al. (34)a2018Ghana(Abura)Central656–12Pfs230NoELISAR2 SDNaïveNo
Amoah et al. (34)a2018Ghana(Obom)Greater Accra756–12Pfs230NoELISAR2 SDNaïveNo
Lamptey et al. (35)2018GhanaGreater Accra3382–65Pfs230YesELISAR3 SDTest sampleNo
Stone et al. (20)b*2018aBurkina FasoHauts-Bassins335–14Pfs230 and Pfs48/45NoELISAR3 SDTest sampleYes
Stone et al. (20)b*2018bBurkina FasoCentre-Nord382–10Pfs230 and Pfs48/45NoELISA3 SDTest sampleYes
Stone et al. (20)b*2018CameroonCentre1405–16Pfs230 and Pfs48/45NoELISAR3 SDTest sampleYes
Bansal et al. (42)2017ZimbabweMashonaland Central1816–14Pfs48/45NoELISAR2 SDNaïveNo
Paul et al. (43)2016ZimbabweManicaland1506–16Pfs48/45NoELISAR2 SDNaïveNo
Ateba-Ngoa et al. (44)b2016GabonMoyen - Ogooue2863–50Pfs230 and Pfs48/45NoELISAR3 SDTest sampleNo
Jones et al. (19)b2015Burkina FasoNord2005–16Pfs230 and Pfs48/45YesELISAR3 SDTest sampleNo
Jones et al. (19)b2015GhanaGreater Accra1085–17Pfs230 and Pfs48/45YesELISAR3 SDTest sampleNo
Jones et al. (19)b2015TanzaniaTanga Region2023–15Pfs230 and Pfs48/45YesELISAR3 SDTest sampleNo
Skinner et al. (33)b2015MaliKoulikoro 3 and Bamako2252–25Pfs230 and Pfs48/45YesMicroarrayR2 SDNo TemplateNo
Miura et al. (45)2013MaliKayes 24518–60Pfs230NoELISAR3 SDNaïveNo
Ouedraogo et al. (24)b*2018Burkina FasoCentre-Nord1281–55Pfs230 and Pfs48/45YesTwo-site ELISAGe3 SDNaïveNo
Ouedraogo et al. (16)a2011Burkina FasoCentre-Nord2961–>20Pfs230 and Pfs48/45YesTwo-site ELISAGe2 SDNaïveNo
Van der Kolk et al. (46)2006CameroonCentre2365–14Pfs230 and Pfs48/45NoTwo-site ELISAGe2 SDNaïveNo

Seroprevalence data provided by authors upon request.

Seroprevalence data calculated from data provided by original authors, or from data available on public repositories.

Citation also includes citation of repository from which data was retrieved.

Administrative region of study site from which participants were drawn, this was used infer predicted parasite prevalence rates standardized in 2 – 10-year olds (PfPR.

Negative control refers to the comparator used to assign seropositivity in the immunoassay. Naïve – malaria naïve volunteers; Sample – a proportion of statistically – defined seronegative individuals; No template - a ‘no DNA control' used to detect reactivity to the expression vector used to produce protein for the array.

Selective recruitment refers to studies that only recruited parasite positive individuals for antibody measurements.

Recombinant protein;

gametocyte extract.

SD, standard deviation.

Table 2

Univariable meta-regression analysis of factors influencing reported seroprevalence to Pfs230.

No. of studies (No. of Sites)Coefficient (β)Lower CIUpper CIp-value*Residual I2I2 change (%)
Age
    Children (ref.)10 (14)
    Adults6 (6)0.210.050.380.0495.362.09
Asexual parasite prevalence6 (10)−0.001−0.0050.0020.5195.372.08
Gametocyte prevalence4 (8)−0.002−0.0040.0010.3892.544.50
Transmission intensity
    Mesoendemic (ref.)7 (8)
    Hyperendemic6 (7)−0.06−0.230.110.5196.181.25
Season
    Dry (ref.)6 (9)
    Rainy5 (7)0.07−0.120.270.5196.241.19
Assay
    ELISA (ref.)6 (11)
    Microarray1 (1)0.310.080.550.0795.292.17
    Two-site ELISA3 (3)0.12−0.060.29
Antigen
    Gametocyte extract (ref.)3 (3)
    Recombinant protein7 (12)−0.06−0.250.130.5196.311.12
Antigen concentration+
    0.1 μg/ml (ref.)3 (7)
    1 μg/ml3 (4)0.260.090.430.0493.523.98
Seropositivity cut-off
    2 SD (ref.)4 (5)
    3 SD6 (10)−0.22−0.37−0.060.0495.162.30

p-values adjusted using the Benjamini and Hochberg correction for multiple testing; values in bold p < 0.05.

Antigen concentration was only tested for studies using recombinant protein as antigen source.

CI, confidence interval; SD, standard deviation.

Table 3

Univariable meta-regression analysis of factors influencing reported seroprevalence to Pfs48/45.

No. of Studies (No. of Sites)Coefficient (β)Lower CIUpper CIp-valueResidual I2I2 change (%)
Age
    Children (ref.)9 (13)
    Adults4 (4)0.07−0.120.270.4994.90−0.18
Asexual parasite prevalence4 (8)−0.003−0.0060.00030.1191.413.96
Gametocyte prevalence4 (8)−0.003−0.005−0.0020.00370.8225.24
Transmission intensity
    Hypoendemic (ref.)1(1)
    Mesoendemic5 (6)−0.47−0.89−0.060.1193.910.87
    Hyperendemic5 (6)−0.38−0.800.04
Season
    Dry (ref.)4 (6)
    Rainy6 (8)0.07−0.090.240.4793.121.70
Assay
    ELISA (ref.)5 (9)
    Microarray1 (1)0.360.150.560.01691.992.89
    Two-site ELISA3 (3)0.09−0.070.24
Antigen
    Gametocyte extract (ref.)3 (3)
    Recombinant protein6 (10)−0.01−0.190.170.9194.91−0.19
Antigen concentration+
    0.1 μg/ml (ref.)3 (7)
    1 μg/ml2 (2)0.300.060.540.04392.652.20
Seropositivity cut-off
    2 SD (ref.)5 (5)
    3 SD4 (8)−0.26−0.39−0.120.00391.383.54

*p-values adjusted using the Benjamini and Hochberg correction for multiple testing; values in bold p < 0.05.

Antigen concentration was only tested for studies using recombinant protein as antigen source.

CI, confidence interval; SD, standard deviation.

Characteristics of studies included in the systematic review and meta-analysis. Seroprevalence data provided by authors upon request. Seroprevalence data calculated from data provided by original authors, or from data available on public repositories. Citation also includes citation of repository from which data was retrieved. Administrative region of study site from which participants were drawn, this was used infer predicted parasite prevalence rates standardized in 2 – 10-year olds (PfPR. Negative control refers to the comparator used to assign seropositivity in the immunoassay. Naïve – malaria naïve volunteers; Sample – a proportion of statistically – defined seronegative individuals; No template - a ‘no DNA control' used to detect reactivity to the expression vector used to produce protein for the array. Selective recruitment refers to studies that only recruited parasite positive individuals for antibody measurements. Recombinant protein; gametocyte extract. SD, standard deviation. Univariable meta-regression analysis of factors influencing reported seroprevalence to Pfs230. p-values adjusted using the Benjamini and Hochberg correction for multiple testing; values in bold p < 0.05. Antigen concentration was only tested for studies using recombinant protein as antigen source. CI, confidence interval; SD, standard deviation. Univariable meta-regression analysis of factors influencing reported seroprevalence to Pfs48/45. *p-values adjusted using the Benjamini and Hochberg correction for multiple testing; values in bold p < 0.05. Antigen concentration was only tested for studies using recombinant protein as antigen source. CI, confidence interval; SD, standard deviation. Furthermore, owing to the omission of the study site from Amoah et al.'s study, the figures quoted in the text on the overall number of study sites and the total number of study sites reporting seroprevalence to Pfs230 and Pfs48/45 were incorrect. The total number of study sites for Pfs230 was given as “14” instead of “15” and for Pfs48/45 given as “14” instead of “13”. Also, we inadvertently provided the total number of individual study locations (“23”) instead of the study sites—based on administrative region—(“17”) when providing a summary of the 12 studies that we included in the analysis. In addition, the citation for “Amoah et al.” was was incorrectly cited as “Acquah et al.” in the Results section, sub-section Pfs230, Seroprevalence, Paragraph 1. These errors have been corrected and amendments made to the relevant result sections, given below. Results section, sub-section Study Selection and Characteristics, Paragraph 1: “The 12 studies were carried out across 17 study sites, majority of which were in West Africa (Burkina Faso, Senegal, Gabon, Cameroon, Ghana, and Mali) with only one study site in East Africa (Tanzania) and two study sites in Southern Africa (Zimbabwe) (Table 1). Ten articles (from 15 study sites) measured responses to Pfs230 and nine articles (13 study sites) measured responses to Pfs48/45. Six studies were longitudinal studies spread over the malaria transmission season with all but one measuring responses to both Pfs230 and Pfs48/45. Studies predominantly used ELISA as the immunoassay with only one study measuring responses using protein microarrays.” Results section, sub-section Pfs230, Seroprevalence, Paragraph 1: “Ten studies from across 15 study sites in Africa analyzed immune responses to Pfs230. The range of seroprevalence estimates was quite wide, ranging from 6% reported by Stone et al. in Soumousso and Dande villages, Burkina Faso (20) to 72% reported by Amoah et al. (34) (Figure 2). Significant heterogeneity was observed between the studies (I2 = 97%; 95% CI: 96–98%; p < 0.01) therefore, a pooled prevalence estimate was not calculated.” Results section, sub-section Pfs48/45, Seroprevalence, Paragraph 1: “A total of 9 studies carried out over 13 study sites measured immune responses to Pfs48/45. The range of seroprevalence estimates reported was 0% from Stone et al.'s study sites in Burkina Faso (20) to 64% reported by Paul et al. from their study in the Makoni district in Zimbabwe (43). As with Pfs230, there was significant heterogeneity between the studies, I2 =96% (95% CI: 95–97%), and hence no pooled estimate was calculated (Figure 3).” Additionally, there were errors in Table 2 and Table 3, regarding the values for the No. of Studies (No. of Sites) under the variable Antigen. For Table 2, the numbers were switched around for gametocyte extract and recombinant protein and hence the numbers for Gametocyte extract read “7 (12)” instead of “3 (3)” and under the variable Recombinant protein read “3 (3)” instead of “7 (12).” For Table 3 one study was missing from the count hence the value for the No. of Studies (No. of Sites) under the variable Recombinant protein read “5 (10)” instead of “6 (10).” The corrected Tables 2 and 3 appear in this article. The authors apologize for these errors and state that this does not change the scientific conclusions of the article in any way. The original article has been updated.
  1 in total

1.  Dynamics of anti-MSP3 and Pfs230 antibody responses and multiplicity of infection in asymptomatic children from southern Ghana.

Authors:  Linda E Amoah; Festus K Acquah; Ruth Ayanful-Torgby; Akua Oppong; Joana Abankwa; Evans K Obboh; Susheel K Singh; Michael Theisen
Journal:  Parasit Vectors       Date:  2018-01-05       Impact factor: 3.876

  1 in total
  1 in total

1.  Profiling the Quality and Quantity of Naturally Induced Antibody Responses Against Pfs230 and Pfs48/45 Among Non-Febrile Children Living in Southern Ghana: A Longitudinal Study.

Authors:  Fermin K Broni; Festus K Acquah; Dorcas Obiri-Yeboah; Evans K Obboh; Esther Sarpong; Linda E Amoah
Journal:  Front Cell Infect Microbiol       Date:  2021-11-25       Impact factor: 5.293

  1 in total

北京卡尤迪生物科技股份有限公司 © 2022-2023.