Objectives/hypothesis: Matrix metalloproteinase-1 (MMP-1) is associated with a risk of inflammatory disease and cancer invasion. Two common etiologies for sudden deafness (SD) are circulatory disturbance and inflammation. The present study aimed to investigate whether MMP-1 polymorphisms are associated with SD.
Study Design: Case-control study. Ninety-nine Korean SD patients and 530 normal patients (controls) were used in this study.
Methods: Single nucleotide polymorphism (SNP) of MMP-1 (at -1607G/2G and -519A/G) was analyzed using the pyrosequencing method.
Results: At MMP-1 -1607G/2G, the distributions of 2G/2G, G/2G, and G/G genotypes in controls were 36.8%, 44.3%, and 18.9%, respectively, and in SD patients were 46.5%, 48.5%, and 5.1%, respectively. The 2G/2G genotype was found to increase the risk of SD compared with the G/G genotype (codominant model: P = .0029; recessive model: P = .0003). The 2G allele was found to increase the risk of SD compared with the G allele (P = .002). At MMP1 -519A/G, there was no statistically significant increase in the risk of SD. Among haplotypes of MMP-1 polymorphisms -1607G/2G and -519A/G, 2GA and GA were found to be associated with SD (P < .05).
Conclusions: These results suggest that the 2G/2G genotype is associated with an increased risk of SD compared with the G/2G and G/G genotypes. Furthermore, the 2G allele may be a risk factor for SD.
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http://dx.doi.org/10.1002/lary.21334 | DOI Listing |
Adv Ther
December 2024
GSK, US Value Evidence and Outcomes, Collegeville, PA, 19426-0989, USA.
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Gastroenterology and Liver Diseases Research Center, Research Institute for Gastroenterology and Liver Diseases, Shahid Beheshti University of Medical Sciences, Tehran, Iran.
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Department of Clinical Nutrition, the First Affiliated Hospital of Anhui Medical University, 218 Jixi Road, Hefei, 230022, Anhui, China.
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Department of Civil engineering, Islamic Azad university, Mashhad Branch, Iran.
The widespread use of pesticides, including diazinon, poses an increased risk of environmental pollution and detrimental effects on biodiversity, food security, and water resources. In this study, we investigated the impact of Potentially Toxic Elements (PTE) including Zn, Cd, V, and Mn on the degradation of diazinon in three different soils. We investigated the capability and performance of four machine learning models to predict residual pesticide concentration, including adaptive neuro-fuzzy inference system (ANFIS), support vector regression (SVR), radial basis function (RBF), and multi-layer perceptron (MLP).
View Article and Find Full Text PDFTranspl Infect Dis
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Background: Identifying patients with latent tuberculosis infection (LTBI) is challenging. This is particularly true amongst immunocompromised hosts, in whom the diagnostic accuracy of available tests is limited. The authors evaluated the impact of routine pretransplant review by a transplant infectious diseases (TID) physician on LTBI screening in allogeneic hematopoietic stem cell transplant (alloHSCT) recipients.
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