Background: Recurrent spontaneous abortion (RSA) often remains unclear and can be burden for the patient and time consuming for clinician. RSA may initiates from a genetic or non-genetic factors. It is well known that the quality of placental circulation is critical for implantation and embryo development. Because of angiogenic effects of VEGF-KDR pathway on placenta, the genes involved in this pathway (the or genes) are thought to be linked with RSA.
Objective: The aim of this study was to investigate the relationship between Gln472His (A/T) polymorphism of the gene with RSAs in southern Iran.
Materials And Methods: In this case-control study, 50 aborted embryonic tissue obtained from fetuses and 50 umbilical cord blood of newborn babies were studied. Fetal sample from mothers with history of at least two consecutive miscarriages and controls from mothers who had at least one full-term infants born were taken. Genomic DNA was extracted by using PureLink genomic DNA kit (Life Technologies, CA). The Rotor-Gene Q real-Time PCR machine and High-resolution melting curve analysis (HRM) technique were used for genotyping.
Results: Based on the AA genotype as reference, it is shown that the T allele (OR = 2.447, 95% CI = 1.095-5.468, p = 0.029) as well as AT heterozygote genotype was significantly associated with an increased risk of miscarriage (OR = 2.824, 95% CI = 1.210-6.673, p = 0.016).
Conclusion: A positive correlation between Q472H polymorphism of the gene and RSA may be the cause in southern Iran.
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http://dx.doi.org/10.18502/ijrm.v17i7.4858 | DOI Listing |
BMC Womens Health
January 2025
Department of Midwifery, School of Nursing and Midwifery, Bushehr University of Medical Sciences, Bushehr, Iran.
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J Health Popul Nutr
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View Article and Find Full Text PDFSci Rep
January 2025
Department of Environmental Health Engineering, School of Public Health, Iran University of Medical Sciences, Tehran, Iran.
The population has increased in recent decades, and as a result, the increase in urban wastewater has led to many environmental problems. In this study, the environmental impacts of the Southern Tehran treatment plant were assessed via life cycle assessment (LCA) (SimaPro 9.4.
View Article and Find Full Text PDFClin Imaging
December 2024
Department of Radiology, Keck School of Medicine, University of Southern California (USC), Los Angeles, CA, USA. Electronic address:
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Sci Rep
December 2024
SDU Health Informatics and Technology, The Maersk Mc-Kinney Moller Institute, University of Southern Denmark, Odense, Denmark.
The increasing development of technology has led to the increase of digital data in various fields, such as medication-related texts. Sentiment Analysis (SA) in medication is essential to give clinicians insights into patients' feedback about the treatment procedure. Therefore, this study intends to develop Artificial Intelligence (AI) models to predict patients' sentiments.
View Article and Find Full Text PDFEnter search terms and have AI summaries delivered each week - change queries or unsubscribe any time!