Population Study Insights Linked to Genetic Variants (rs16890979 and rs206833) and Type 2 Diabetes Control in Northern Jordan
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Population Study Insights Linked to Genetic Variants (rs16890979 and rs206833) and Type 2 Diabetes Control in Northern Jordan

17/05/2024 Compuscript Ltd

https://www.scienceopen.com/hosted-document?doi=10.15212/bioi-2024-0005
Announcing a new article publication for BIO Integration journal. This study determines the relationships between uric acid levels, specific single nucleotide polymorphisms (SNPs) in genes linked to uric acid metabolism [xanthine dehydrogenase (XDH) and Solute carrier family 2 member 9 (SLC2A9) genes], and control of HbA1c levels in type 2 diabetes mellitus (T2DM) within the Jordanian population.
A total of 184 T2DM patients who received care in the Endocrine Clinic at KAUH in Northern Jordan were enrolled in this study. These patients were classified into controlled and uncontrolled T2DM groups based on the HbA1c test results. Genotyping of two SNPs from the SLC2A9 gene and one SNP related to the XDH gene was performed using the tetra ARMS PCR method. Uric acid concentrations were measured using enzymatic colorimetric reagents.
The study revealed no significant correlation between uric acid levels and T2DM control. However, statistically significant correlations (P<0.05) were detected between the AA genotype at the rs206833 variant related to the XDH gene and reduced control over T2DM, as well as the CT genotype at the rs16890979 variant in the SLC2A9 gene. Notably, the rs206833 variant had an association between allele frequency level with T2DM regulation.
Genetic variants (rs16890979 and rs206833) may influence T2DM control and could be associated with an elevated risk of impaired glucose homeostasis in patients with diabetes.
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BIO Integration is fully open access journal which will allow for the rapid dissemination of multidisciplinary views driving the progress of modern medicine. As part of its mandate to help bring interesting work and knowledge from around the world to a wider audience, BIOI will actively support authors through open access publishing and through waiving author fees in its first years. Also, publication support for authors whose first language is not English will be offered in areas such as manuscript development, English language editing and artwork assistance.

BIOI is now open for submissions; articles can be submitted online at: https://mc04.manuscriptcentral.com/bioi
There are no author submission or article processing fees.

Please visit www.bio-integration.org to learn more about the journal.
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ISSN 2712-0074
eISSN 2712-0082

Nosayba Al-Azzam, Lina Elsalem and Balqis M. Abu Mousa et al. Population Study Insights Linked to Genetic Variants (rs16890979 and rs206833) and Type 2 Diabetes Control in Northern Jordan. BIOI. 2024. Vol. 5(1). DOI: 10.15212/bioi-2024-0005
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Nosayba Al-Azzam, Lina Elsalem and Balqis M. Abu Mousa et al. Population Study Insights Linked to Genetic Variants (rs16890979 and rs206833) and Type 2 Diabetes Control in Northern Jordan. BIOI. 2024. Vol. 5(1). DOI: 10.15212/bioi-2024-0005
17/05/2024 Compuscript Ltd
Regions: Europe, Ireland, Middle East, Jordan
Keywords: Health, Medical

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