Plasmodium Falciparum and mosquito vector IgG patterns across suspected malaria cases in Ghana

Abstract Introduction Malaria, a widespread tropical disease, remains a significant global health issue, resulting in numerous deaths each year. In Ghana, malaria is a leading cause of illness, contributing to a large proportion of hospital outpatient visits. The study assessed the pattern of malari...

Full description

Saved in:
Bibliographic Details
Main Authors: Kwame Kumi Asare, Sebastian Shine Kwapong, Prosper Tey, Vincent Sackey, Samuel Victor Nuvor, Linda Eva Amoah
Format: Article
Language:English
Published: BMC 2024-12-01
Series:BMC Infectious Diseases
Subjects:
Online Access:https://doi.org/10.1186/s12879-024-10248-9
Tags: Add Tag
No Tags, Be the first to tag this record!
_version_ 1846137272939839488
author Kwame Kumi Asare
Sebastian Shine Kwapong
Prosper Tey
Vincent Sackey
Samuel Victor Nuvor
Linda Eva Amoah
author_facet Kwame Kumi Asare
Sebastian Shine Kwapong
Prosper Tey
Vincent Sackey
Samuel Victor Nuvor
Linda Eva Amoah
author_sort Kwame Kumi Asare
collection DOAJ
description Abstract Introduction Malaria, a widespread tropical disease, remains a significant global health issue, resulting in numerous deaths each year. In Ghana, malaria is a leading cause of illness, contributing to a large proportion of hospital outpatient visits. The study assessed the pattern of malaria and vector IgG antibody levels among suspected malaria patients seeking healthcare at selected health facilities across Ghana. Methods Samples from a total of 823 participants aged 1 to 85 years with clinical malaria from the ten regions of Ghana were recruited into the study. Archived plasma obtained from each participant was used to assess antibody responses against MSP1 (19 k), MSP2 (FC27 & 3D7), MSP3, gSG6-P1, and GLURP-RO using ELISA. The data were categorized according to study site, age group, gender, and diagnostic tests. Data were analyzed using Kruskal–Wallis’s statistics. The statistical significance was assessed at 0.05. Results The mean ± standard error of the mean (S.E) of MSP3 IgG concentration for the different age groups were 16, 847 ± 3, 031 ng/mL for 0–4 years, 18, 973 ± 4,357 ng/mL for 5–10 years, 25,961 ± 5,436 ng/mL for 11–15 years and 76, 244 ± 8, 209 ng/mL for ≥ 16 years. A significant (Kruskal–Wallis statistic = 122.6, p < 0.0001) increase in P. falciparum MSP 3 (p < 0.0001) and gSG6-P1(p < 0.0001) IgG concentration was observed with increasing age categories. There were significant differences in antibody responses against MSP2 (FC27) IgG (Kruskal–Wallis statistic = 29.63, p = 0.0005), MSP3 IgG (Kruskal–Wallis statistic = 32.53, p = 0.0002), GLURP-RO IgG (Kruskal–Wallis statistic = 52.8, p < 0.0001) and gSG6-P1 IgG (Kruskal–Wallis statistic = 152.8, p < 0.0001) across the study regions. Conclusion The study reveals that IgG against merozoite surface proteins MSP3, GLURP-RO, and gSG6-P1 but not MSP1 and MSP2 antibodies increase with age. The mean IgG antibody concentrations varied in the selected regions of Ghana. A longitudinal study where confounding factors are controlled for is recommended to provide insights into the development of immunity and antibody efficacy, and to enhance the effectiveness of malaria prevention efforts in Ghana. This will help improve the overall understanding of malaria transmission.
format Article
id doaj-art-5a9a52ee4ca34971886f54ea85fa86c4
institution Kabale University
issn 1471-2334
language English
publishDate 2024-12-01
publisher BMC
record_format Article
series BMC Infectious Diseases
spelling doaj-art-5a9a52ee4ca34971886f54ea85fa86c42024-12-08T12:19:57ZengBMCBMC Infectious Diseases1471-23342024-12-0124111210.1186/s12879-024-10248-9Plasmodium Falciparum and mosquito vector IgG patterns across suspected malaria cases in GhanaKwame Kumi Asare0Sebastian Shine Kwapong1Prosper Tey2Vincent Sackey3Samuel Victor Nuvor4Linda Eva Amoah5Biomedical and Clinical Research Centre, College of Allied Health Sciences, University of Cape CoastDepartment of Microbiology and Immunology, School of Medical Sciences, University of Cape CoastDepartment of Microbiology and Immunology, School of Medical Sciences, University of Cape CoastDepartment of Microbiology and Immunology, School of Medical Sciences, University of Cape CoastDepartment of Microbiology and Immunology, School of Medical Sciences, University of Cape CoastDepartment of Immunology, Noguchi Memorial Institute for Medical Research, University of GhanaAbstract Introduction Malaria, a widespread tropical disease, remains a significant global health issue, resulting in numerous deaths each year. In Ghana, malaria is a leading cause of illness, contributing to a large proportion of hospital outpatient visits. The study assessed the pattern of malaria and vector IgG antibody levels among suspected malaria patients seeking healthcare at selected health facilities across Ghana. Methods Samples from a total of 823 participants aged 1 to 85 years with clinical malaria from the ten regions of Ghana were recruited into the study. Archived plasma obtained from each participant was used to assess antibody responses against MSP1 (19 k), MSP2 (FC27 & 3D7), MSP3, gSG6-P1, and GLURP-RO using ELISA. The data were categorized according to study site, age group, gender, and diagnostic tests. Data were analyzed using Kruskal–Wallis’s statistics. The statistical significance was assessed at 0.05. Results The mean ± standard error of the mean (S.E) of MSP3 IgG concentration for the different age groups were 16, 847 ± 3, 031 ng/mL for 0–4 years, 18, 973 ± 4,357 ng/mL for 5–10 years, 25,961 ± 5,436 ng/mL for 11–15 years and 76, 244 ± 8, 209 ng/mL for ≥ 16 years. A significant (Kruskal–Wallis statistic = 122.6, p < 0.0001) increase in P. falciparum MSP 3 (p < 0.0001) and gSG6-P1(p < 0.0001) IgG concentration was observed with increasing age categories. There were significant differences in antibody responses against MSP2 (FC27) IgG (Kruskal–Wallis statistic = 29.63, p = 0.0005), MSP3 IgG (Kruskal–Wallis statistic = 32.53, p = 0.0002), GLURP-RO IgG (Kruskal–Wallis statistic = 52.8, p < 0.0001) and gSG6-P1 IgG (Kruskal–Wallis statistic = 152.8, p < 0.0001) across the study regions. Conclusion The study reveals that IgG against merozoite surface proteins MSP3, GLURP-RO, and gSG6-P1 but not MSP1 and MSP2 antibodies increase with age. The mean IgG antibody concentrations varied in the selected regions of Ghana. A longitudinal study where confounding factors are controlled for is recommended to provide insights into the development of immunity and antibody efficacy, and to enhance the effectiveness of malaria prevention efforts in Ghana. This will help improve the overall understanding of malaria transmission.https://doi.org/10.1186/s12879-024-10248-9Plasmodium falciparumIgG patternsMSP3 antibodiesGLURP-RO antibodiesGSG6-P1antibodiesMSP1 antibodies
spellingShingle Kwame Kumi Asare
Sebastian Shine Kwapong
Prosper Tey
Vincent Sackey
Samuel Victor Nuvor
Linda Eva Amoah
Plasmodium Falciparum and mosquito vector IgG patterns across suspected malaria cases in Ghana
BMC Infectious Diseases
Plasmodium falciparum
IgG patterns
MSP3 antibodies
GLURP-RO antibodies
GSG6-P1antibodies
MSP1 antibodies
title Plasmodium Falciparum and mosquito vector IgG patterns across suspected malaria cases in Ghana
title_full Plasmodium Falciparum and mosquito vector IgG patterns across suspected malaria cases in Ghana
title_fullStr Plasmodium Falciparum and mosquito vector IgG patterns across suspected malaria cases in Ghana
title_full_unstemmed Plasmodium Falciparum and mosquito vector IgG patterns across suspected malaria cases in Ghana
title_short Plasmodium Falciparum and mosquito vector IgG patterns across suspected malaria cases in Ghana
title_sort plasmodium falciparum and mosquito vector igg patterns across suspected malaria cases in ghana
topic Plasmodium falciparum
IgG patterns
MSP3 antibodies
GLURP-RO antibodies
GSG6-P1antibodies
MSP1 antibodies
url https://doi.org/10.1186/s12879-024-10248-9
work_keys_str_mv AT kwamekumiasare plasmodiumfalciparumandmosquitovectoriggpatternsacrosssuspectedmalariacasesinghana
AT sebastianshinekwapong plasmodiumfalciparumandmosquitovectoriggpatternsacrosssuspectedmalariacasesinghana
AT prospertey plasmodiumfalciparumandmosquitovectoriggpatternsacrosssuspectedmalariacasesinghana
AT vincentsackey plasmodiumfalciparumandmosquitovectoriggpatternsacrosssuspectedmalariacasesinghana
AT samuelvictornuvor plasmodiumfalciparumandmosquitovectoriggpatternsacrosssuspectedmalariacasesinghana
AT lindaevaamoah plasmodiumfalciparumandmosquitovectoriggpatternsacrosssuspectedmalariacasesinghana