Genetic investigations on certain genes associated with type 1 diabetes in some Egyptions

Type 1 diabetes mellitus (T1DM) is an autoimmune disorder that typically manifests in early childhood but can occur in persons of any age. The condition is a result of autoreactive T lymphocytes that target and destroy insulin-producing beta cells in the pancreatic islet. This results in a complete lack of insulin and persistently high blood sugar levels, necessitating lifelong insulin treatment. For the present experiment, five groups were selected, all of whom were volunteers. Four cohorts of T1DM patients were categorized based on their age, whereas the fifth cohort consisted of individuals without diabetes. The HLA-DRB1*03 exon 2 allele's bidirectional sequencing was established using blood samples. PCR was employed to determine the gene sequence, amplify it, and extract the gene for DNA sequencing in both forward and reverse directions. The sequencing output data was subjected to bioinformatics analysis to get insights into the isolated gene and its function in T1DM. In addition, specific software applications were utilized to forecast the translated protein and RNA secondary structures. A modification occurred in the secondary structure of RNA, which had an impact on the translation and release of proteins in somatic cells. Furthermore, the SNP analysis indicated that the targeted genes in the four groups exhibited changes resulting from the substitution or deletion of certain nucleotides. These mutations altered the predicted protein translation in the sick groups as compared to the control group.

Authors

Institutions

Publication Details

Journal
Journal of Basic and Environmental Sciences
Published
2024-10-01
DOI
https://doi.org/10.21608/jbes.2024.391294
Citations
1
Primary Topic
Pancreatic function and diabetes
Type
article
Field-Weighted Citation Impact
0.57
Controls
|||
ALL TIME
JAN
FEB
MAR
APR
MAY
JUN
JUL
AUG
SEP
OCT
article

Genetic investigations on certain genes associated with type 1 diabetes in some Egyptions

Mohammed H. Awwad, Noha A .El kamshishy, Safaa Alzawahry
1 citations
Journal of Basic and Environmental Sciences
Pancreatic function and diabetes
0.57
article

Genetic investigations on certain genes associated with type 1 diabetes in some Egyptions

Mohammed H. Awwad, Noha A .El kamshishy, Safaa Alzawahry
article en
1 citations

Abstract

Type 1 diabetes mellitus (T1DM) is an autoimmune disorder that typically manifests in early childhood but can occur in persons of any age. The condition is a result of autoreactive T lymphocytes that target and destroy insulin-producing beta cells in the pancreatic islet. This results in a complete lack of insulin and persistently high blood sugar levels, necessitating lifelong insulin treatment. For the present experiment, five groups were selected, all of whom were volunteers. Four cohorts of T1DM patients were categorized based on their age, whereas the fifth cohort consisted of individuals without diabetes. The HLA-DRB1*03 exon 2 allele's bidirectional sequencing was established using blood samples. PCR was employed to determine the gene sequence, amplify it, and extract the gene for DNA sequencing in both forward and reverse directions. The sequencing output data was subjected to bioinformatics analysis to get insights into the isolated gene and its function in T1DM. In addition, specific software applications were utilized to forecast the translated protein and RNA secondary structures. A modification occurred in the secondary structure of RNA, which had an impact on the translation and release of proteins in somatic cells. Furthermore, the SNP analysis indicated that the targeted genes in the four groups exhibited changes resulting from the substitution or deletion of certain nucleotides. These mutations altered the predicted protein translation in the sick groups as compared to the control group.

Journal of Basic and Environmental SciencesVol. 11(4)
Benha University (EG)
Openalex Percentile: Top 28%
Pancreatic function and diabetes
0.57
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.