Objective: To establish a rapid method for detecting MTHFR gene 677C>T polymorphisms with high-resolution melting curve method (HRM) and pyrosequencing.
Methods: Peripheral blood samples were collected from 155 Down syndrome patients and 182 normal controls from Children's Hospital of Shanghai. The accuracy of three methods including regular HRM, internal control HRM and artificial heterozygosity HRM was compared. Meanwhile, allele frequencies in 10, 30 and 50 mixed samples were measured with pyrosequencing, and the results were compared with that of HRM.
Results: Heterozygosity of 677C>T polymorphism could be distinguished by various HRM methods. However, homozygotes CC and TT were only identifiable by internal control HRM and artificial heterozygosity HRM. The accuracy of pyrosequencing for allele frequency has improved with increased sample number. When the number of mixed samples has exceeded 30, the difference between pyrosequencing results and actual values became less than 4%. TT genotype was more frequent in Down syndrome patients than controls (25.2% vs. 14.3%). No significant difference was found in T allele frequency between the two groups (44.9% vs. 40.1%).
Conclusion: Respectively, internal control HRM and pyrosequencing may be ideal methods for determination of genotypic and allelic frequencies.
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http://dx.doi.org/10.3760/cma.j.issn.1003-9406.2013.05.005 | DOI Listing |
Mol Med
January 2025
Institute for Research in Biomedicine (IRB Barcelona), The Barcelona Institute of Science and Technology (BIST), Barcelona, Spain.
Background: Lysinuric protein intolerance is a rare autosomal disorder caused by mutations in the Slc7a7 gene that lead to impaired transport of neutral and basic amino acids. The gold standard treatment for lysinuric protein intolerance involves a low-protein diet and citrulline supplementation. While this approach partially improves cationic amino acid plasma levels and alleviates some symptoms, long-term treatment is suggested to be detrimental and may lead to life-threatening complications characterized by a wide range of hematological and immunological abnormalities.
View Article and Find Full Text PDFBMC Genom Data
January 2025
School of Epidemiology and Public Health, University of Ottawa, 600 Peter Morand Crescent, Office 101E, Ottawa, Ontario, K1G 5Z3, Canada.
High intraocular pressure (IOP) is an important risk factor for glaucoma, which is influenced by genetic and environmental factors. However, the etiology of high IOP remains uncertain. Metabolites are compounds involved in metabolism which provide a link between the internal (genetic) and external environments.
View Article and Find Full Text PDFClin Neuroradiol
January 2025
Department of Endocrinology, Diabetology, Metabolic Diseases and Clinical Chemistry (Internal Medicine 1), Heidelberg University Hospital, Im Neuenheimer Feld 410, 69120, Heidelberg, Germany.
Background: Cardiovascular risk management is beneficial, but stringent glycemic control does not prevent the progression of distal sensorimotor polyneuropathy (DSPN). Persistent hyperglycemia-induced alterations and cardiovascular factors may contribute to diabetes-associated nerve damage. This study aimed to evaluate the correlation between skin auto-fluorescence (sAF), an indicator of dermal advanced glycation end-product (AGE) accumulations, cardiovascular risk, and changes in peripheral nerve integrity.
View Article and Find Full Text PDFInfect Control Hosp Epidemiol
January 2025
University of Texas Southwestern Medical Center, O'Donnell School of Public Health, Dallas, TX, USA.
Background: Understanding healthcare personnel's (HCP) contact patterns are important to mitigate healthcare-associated infectious disease transmission. Little is known about how HCP contact patterns change over time or during outbreaks such as the COVID-19 pandemic.
Methods: This study in a large United States healthcare system examined the social contact patterns of HCP via standardized social contact diaries.
Infect Control Hosp Epidemiol
January 2025
Department of Biostatistics and Data Science, Wake Forest University, School of Medicine, Medical Center Blvd, Winston-Salem, NC27157, USA.
Objective: Environmental features of a patient's room depend on the patient's level of acuity and their clinical manifestations upon admission and during their hospital stay. In this study, we wish to apply statistical methodology to explore the association between room features and hospital onset infections caused by (HO-CDI) while accounting for room assignment.
Method: We conducted a nested case-control study using retrospective electronic health record (EHR) data of patients hospitalized at the Ohio State University Wexner Medical Center (OSUWMC) between January 2019 and April 2021.
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