J Res Med Sci
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The gene interaction network is a set of genes interconnected by functional interactions among the genes. The gene interaction networks are studied to determine pathways and regulatory mechanisms in model organisms. In this research, the enrichment study of bone cancer-causing genes is undertaken to identify several hub genes associated to the development of bone cancer. ⋯ This study points to a recognizable evidence of novel superimposed pathways mechanisms strongly linked to cancer.
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The present study was conducted to determine the epidemiological status, identify high-risk and low-risk clusters, and estimate the relative risk (RR) of acute lymphoblastic leukemia (ALL) in provinces of Iran. ⋯ High-risk clusters were observed in Southwestern, central, and eastern Iran, while low-risk clusters were identified in Northern and Western Iran.
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Strong epidemiological evidence suggests that air pollution plays a significant role in the exacerbation of allergic respiratory diseases. This study aimed to assess the potential relationship between daily levels of sulfur dioxide (SO2) and emergency department (ED) visits for allergic diseases. ⋯ Our results suggest that short-term exposure to SO2 conferred an increased risk of ED visits for allergic respiratory diseases, particularly for asthma with concomitant allergic rhinitis.
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Some studies have been reported the rates of co-infection between severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2) and influenza virus in the different regions. In this study, we report the co-infection rates between SARS-CoV-2 and influenza type B in Isfahan, Iran. ⋯ During influenza season, differentiating other causes of respiratory illness from COVID-19 is difficult, because common clinical manifestations of COVID-19 mimic those of influenza. It seems that evaluating for co-infection with different types of influenza viruses in patients with specific settings should be considered.
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Small-for-gestational-age (SGA) is one of the most important conditions, which is associated with the risk of perinatal mortality and morbidity. The levels of pregnancy-associated plasma protein A (PAPP-A) and β-human-derived chorionic gonadotrophic (β-hCG) in the first trimester can predict this adverse outcome, considering the controversial nature of studies in this area, this cohort study was conducted to investigate the role of PAPP-A and freeβ-hCG levels for predicting SGA. ⋯ The results of the study showed that the low levels of PAPP-A would cause 3.213 times increase in the chance of developing SGA and no association between high level of βhCG >3 with SGA. Therefore, low level of the PAPP-A is a warning indicator for SGA.