Background: Today, the role of microRNAs in the pathogenesis of breast cancer has been established. Genetic mutations play a significant role in determining the risk factors of cancer. The polymorphism of these two genes can alter their expression. This study has been performed to investigate the relationship between polymorphisms of rs6715345 of miR-375 gene and rs4939827 of the SMAD7 gene and development of breast cancer in a population in southeastern Iran. Methods: This case-control study was performed on the blood sample of 205 patients with breast cancer and 200 healthy individuals for investigating the rs34917480 and rs4939827 polymorphisms using the PCR-RFLP method. The data were analyzed by t-test, χ 2 , and logistic regression. The SPSS v18.0 used for data analysis. Results: The findings of this study indicated that the risk of developing breast cancer does not have a significant relationship with rs6715345 polymorphism of miR-375 gene (p>0.05). However, the rs4939827 polymorphism of the SMAD7 gene was significantly linked to the risk of developing breast cancer in the southeastern population in Iran (p<0.05). Conclusion: The results suggest that the rs4939827 polymorphism of the SMAD7 gene can lead to an increased risk of incidence of breast cancer in the southeastern population in Iran.

The aim of current study was to evaluate the outcome of some laboratory tests and accuracy of diagnostic tests for patients with COVID-19. The QUADAS-2 tool was utilized to quality assessment of diagnostic accuracy studies. For data extraction, two reviewers blind and independently extracted data from abstract and full text of studies that included. 95% confidence interval for effect size with fixed effect model and Inver-variance method were calculated. Meta-analysis was performed using Stata/MP v.16 software. 469 studies were reviewed, of which the full text of 52 studies was reviewed and finally twenty-two studies were selected for meta-analysis. Mean differences of Alanine transaminase was 3.40 U/L (MD, 95% CI -2.45, 9.25), correlation between Alanine transaminase and severe COVID-19 was not significantly. Stool, feces, rectal swabs 25% (ES, 95% CI 0.32, 0.82), Urine 1% (ES, 95% CI 0.05, 0.58), overall sensitivity of PCR for detection of COVID-19 was 44% (ES, 95% CI 0.19, 0.68), less sensitive observerd when PCR detection of COVID-19. Evidence revealed that at the time of admission of patients with COVID-19, a specific laboratory model can be used to perform relevant tests and make decisions about patients. PCR using sputum samples was highly sensitive for detecting COVID-19 and after that computed tomography of the chest was identified with high sensitivity.

Unfortunately, many medical staff in hospitals and referral centers became ill, and some died due to frequent encounters with patients and severe cases of the disease. In the meantime, the issue of the spread of nosocomial infections should never be overlooked, and it should be thought that all attention should be focused on coronavirus, as the interaction between the virus and other strains of nosocomial infections is completely unknown. These measures are especially important in intensive care units for the care of Covid-19 patients, because the spread of this infection in these wards is strongly and exponentially associated with high mortality due to the disease. The outbreak of Covid-19 disease affected almost every country in the world, leading to more than 44 million cases and 1.2 million deaths by the end of October 2020. Another important point is the application of special and intensive protocols in the referral centers of patients in such a way as not only to prevent the spread of infection from disease to another patient but also to minimize the chances of infection of care and treatment personnel.

The aim of the present study was to review the laboratory studies in COVID 19 in different patients. The outbreak of Coronavirus 2019 (COVID-19) appeared in Wuhan, China, and the reason for its increasing spread is not fully understood. According to research, COVID-19 virus, like other risk factors in any country, has many heterogeneous effects, especially in the field of environment and energy. The clinical symptoms of this disease are nonspecific and cannot be easily distinguished from other acquired pneumonias. Therefore, radiological findings and laboratory tests play an important role in the diagnosis and follow-up of the disease. Preliminary studies have shown that people with underlying diseases are at higher risk for complications and mortality from COVID-19. Approximately 50% of hospitalized patients suspected of having a new coronavirus have other chronic diseases, and about 40% of hospitalized patients with confirmed new SARS-CoV-2 infection have heart disease. They are vascular or cerebrovascular. The researchers have also found a large difference in mortality by age group.