Molecular Detection of Cryptosporidium parvum by Specific Gene (Heat Shock Protein) in Children at Babylon Center

Abstract Background: Cryptosporidium is a diarrhea-causing single-celled parasite that infects the gastrointestinal tract of humans, livestock, birds, and wildlife populations. Objectives: Molecular detection of C. parvum by specific genes in children. Materials and Methods: A total of 300 stool samples were collected from patients aged 17 days to 10 years, (26 females and 49 males) and were represented using a specific gene [Heat shock protein gene (HSP70)] for the diagnosis of C. parvum . Results: The results indicated that from 300 stool samples, 75 (25%) were found to be positive for C. parvum . Additionally, polymerase chain reaction product analysis of the HSP70 gene in C. parvum reported that fifty of the 75 (66.66%) samples observed carried the HSP70. Also, the results indicated that the highest infection rate was recorded in patients of the 17-day age group (27, 36%, and the lowest rate was recorded in the patients of the 9–10 year age group (2, 2.7%) with a significant value. According to gender, the results indicated that the highest percentage was found in males (65.3%), and the lowest percentage was found in females (34.7%). Additionally, the highest infection rate was found in rural areas (62.5%), while the lowest infection was found in urban areas (37.5%). Conclusion: HSP70 could be a good diagnostic tool for the detection of C. parvum among pediatric patients as well as for the monitoring of water resources, in which low concentrations of parasites are usually observed.

Authors

Institutions

Publication Details

Journal
Medical Journal of Babylon
Published
2025-04-01
DOI
https://doi.org/10.4103/mjbl.mjbl_1118_23
Citations
1
Primary Topic
Parasitic Infections and Diagnostics
Type
article
Field-Weighted Citation Impact
2.05
Controls
|||
ALL TIME
JAN
FEB
MAR
APR
MAY
JUN
JUL
AUG
SEP
OCT
article

Molecular Detection of Cryptosporidium parvum by Specific Gene (Heat Shock Protein) in Children at Babylon Center

Hayam Khalis Al-Masoudi, Ola Abdallah Mahdi Dahash
1 citations
Medical Journal of Babylon
Parasitic Infections and Diagnostics
2.05
article

Molecular Detection of Cryptosporidium parvum by Specific Gene (Heat Shock Protein) in Children at Babylon Center

Hayam Khalis Al-Masoudi, Ola Abdallah Mahdi Dahash
article en
1 citations

Abstract

Abstract Background: Cryptosporidium is a diarrhea-causing single-celled parasite that infects the gastrointestinal tract of humans, livestock, birds, and wildlife populations. Objectives: Molecular detection of C. parvum by specific genes in children. Materials and Methods: A total of 300 stool samples were collected from patients aged 17 days to 10 years, (26 females and 49 males) and were represented using a specific gene [Heat shock protein gene (HSP70)] for the diagnosis of C. parvum . Results: The results indicated that from 300 stool samples, 75 (25%) were found to be positive for C. parvum . Additionally, polymerase chain reaction product analysis of the HSP70 gene in C. parvum reported that fifty of the 75 (66.66%) samples observed carried the HSP70. Also, the results indicated that the highest infection rate was recorded in patients of the 17-day age group (27, 36%, and the lowest rate was recorded in the patients of the 9–10 year age group (2, 2.7%) with a significant value. According to gender, the results indicated that the highest percentage was found in males (65.3%), and the lowest percentage was found in females (34.7%). Additionally, the highest infection rate was found in rural areas (62.5%), while the lowest infection was found in urban areas (37.5%). Conclusion: HSP70 could be a good diagnostic tool for the detection of C. parvum among pediatric patients as well as for the monitoring of water resources, in which low concentrations of parasites are usually observed.

Medical Journal of BabylonVol. 22(2)
University of Babylon (IQ)
Openalex Percentile: Top 16%
Parasitic Infections and Diagnostics
2.05
AI Navigator

Ask Laika to Summarize, Analyze, and Connect papers live on the map.

Summarize Papers & Methodologies

Extract key findings, datasets, and comparative methods across publications.

Benchmark Rankings & Visual Analytics

Rank top research institutions, authors, funders, topics, and journals by Field-Weighted Citation Impact (FWCI) and paper volume with instant charts.

Connect Distant Disciplines

Bridge topological clusters on the map to find hidden collaborative intersections.