Back

Understanding the role of adaptive immunity in a protective yet infection permissive immune response to the Cryptosporidium parasite

Petri, W. A.; Hossain, B.; Kabir, M.; So, H. H.; Moreau, G. B.; Alam, M.; Nayak, U.; Noor, Z.; Haque, R.; Petri, W.; Gilchrist, C. A.

2023-07-01 infectious diseases
10.1101/2023.06.28.23292000 medRxiv
Show abstract

BackgroundCryptosporidium is one of the top causes of diarrhea in Bangladesh infants. Cryptosporidium infections lead to the production of antibody immune responses, which were associated with a decrease in parasite burden and decreased disease severity in subsequent infections. MethodsWe conducted a longitudinal study of cryptosporidiosis from birth to five years of age in an urban slum of Dhaka Bangladesh. We then retrospectively tested the concentration of anti-Cryptosporidium Cp17 or Cp23 IgA in surveillance stool samples collected from 54 children during their first 3 years of life by enzyme-linked immunosorbent assay (ELISA). We also assessed the concentration of both IgA and IgG antibodies specific to Cryptosporidium Cp17 and Cp23 in the concentration of anti-Cryptosporidium Cp17 or Cp23 IgA and IgG antibodies in the childrens plasma (1-5 years). ResultsThe seroprevalence of both anti-Cp23 and Cp17 antibodies was high at [≤] one year of age and reflected the exposure of these children in this community to cryptosporidiosis. In Bangladesh, the prevalence of cryptosporidiosis is high during the rainy season (June to October) but decreases during the dry season. In younger infants plasma anti-Cp17 and Cp23 IgG and anti-Cp17 IgA levels were markedly increased during the rainy season in line with the higher initial exposure to the parasite at this time. Both anti-Cp17, anti-Cp23 fecal IgA and the parasite burden declined during repeat infections. ConclusionsWe found that anti-Cryptosporidium plasma and fecal antibody levels in children could contribute to the decrease in new infections in this study population.

Matching journals

The top 4 journals account for 50% of the predicted probability mass.

1
PLOS Neglected Tropical Diseases
378 papers in training set
Top 0.5%
22.5%
2
The Journal of Infectious Diseases
182 papers in training set
Top 0.1%
22.5%
3
BMC Medicine
163 papers in training set
Top 0.8%
4.8%
4
BMC Infectious Diseases
118 papers in training set
Top 0.5%
4.8%
50% of probability mass above
5
PLOS ONE
4510 papers in training set
Top 34%
4.3%
6
Clinical Infectious Diseases
231 papers in training set
Top 1%
4.0%
7
The American Journal of Tropical Medicine and Hygiene
60 papers in training set
Top 1%
3.6%
8
mBio
750 papers in training set
Top 5%
3.1%
9
Scientific Reports
3102 papers in training set
Top 50%
2.1%
10
PLOS Pathogens
721 papers in training set
Top 5%
1.8%
11
Frontiers in Cellular and Infection Microbiology
98 papers in training set
Top 3%
1.7%
12
International Journal of Infectious Diseases
126 papers in training set
Top 2%
1.7%
13
Open Forum Infectious Diseases
134 papers in training set
Top 1%
1.7%
14
Transactions of The Royal Society of Tropical Medicine and Hygiene
16 papers in training set
Top 0.4%
1.2%
15
Frontiers in Immunology
586 papers in training set
Top 6%
1.1%
16
Travel Medicine and Infectious Disease
15 papers in training set
Top 0.5%
0.9%
17
Epidemiology and Infection
84 papers in training set
Top 3%
0.8%
18
The Lancet Microbe
43 papers in training set
Top 1%
0.8%
19
mSphere
281 papers in training set
Top 6%
0.7%
20
Wellcome Open Research
57 papers in training set
Top 2%
0.7%
21
Pathogens
53 papers in training set
Top 2%
0.6%