Tutun Das Aka

Background: The prevalence of Cervical Cancer (CC) is disproportionately higher in developing countries. It is the second most frequent cancer type among Bangladeshi women and the major cause of morbidity and mortality. However, no previous data reported the association of miR-218-2 gene polymorphisms in Bangladeshi cervical cancer patients. Aim: This case-control study was designed to find the link between the rs11134527 polymorphism in miR-218-2 and CC. Methods: A total of 488 subjects were recruited, comprising 256 cervical cancer patients and 232 healthy females. Genotyping was conducted with the tetra-primer ARMS-PCR technique to detect the association. Results: The results of genotype data showed that rs11134527 was in the Hardy-Weinberg equilibrium in both CC cases and controls (P >0.05). Overall, the polymorphism was found to be significantly associated with an increased risk of cervical cancer with AG genotype (AG vs. GG: OR = 2.26, 95% Cl = 1.40-3.66, P = 0.0008), AA genotype (AA vs. GG: OR = 3.64, 95% Cl = 2.17-6.10, P <0.0001), dominant model (AG+AA vs. GG: OR = 2.75, 95% Cl = 1.75-4.31, P <0.0001), recessive model (AA vs. GG+AG: OR = 2.08, 95% Cl = 1.41-3.08, P = 0.0002), and A allele (A vs. G: OR = 1.94, 95% Cl = 1.51-2.51, P <0.0001). All of these correlations remained statistically significant after performing Bonferroni correction (P <0.008). Conclusion: Our study suggests that the rs11134527 polymorphism in the miR-218-2 gene contributes to the susceptibility of CC in Bangladeshi women.

Background: A new pathogenic disease named COVID-19 became a global threat, first reported in Wuhan, China, in December 2019. The number of affected cases growing exponentially and now, more than 210 countries confirmed the cases. Objective: This meta-analysis aims to evaluate risk factors, the prevalence of comorbidity, and clinical characteristics in COVID-19 death patients compared to survival patients that can be used as a reference for further research and clinical decisions. Methods: PubMed, Science Direct, SAGE were searched to collect data about demographic, clinical characteristics, and comorbidities of confirmed COVID-19 patients from January 1, 2020, to May 17, 2020. Meta-analysis was performed with the use of Review Manager 5.3 Results: Eighty-five studies were included in Meta-analysis, including a total number of 67,299 patients with SARS-CoV-2 infection. Males are severely affected or died than females (OR = 2.26, p < 0.00001; OR = 3.59, p < 0.00001) are severely affected, or died by COVID-19 and cases with age ≥50 are at higher risk of death than age <50 years (OR=334.23). Presence of any comorbidity or comorbidities like hypertension, cardiovascular disease, diabetes, cerebrovascular disease, respiratory disease, kidney disease, liver disease, malignancy significantly increased the risk of death compared to survival (OR = 3.46, 3.16, 4.67, 2.45, 5.84, 2.68, 5.62, 2.81,2.16). Among the clinical characteristics such as fever, cough, myalgia, diarrhea, abdominal pain, dyspnea, fatigue, sputum production, chest tightness headache and nausea or vomiting, only fatigue (OR = 1.31, 95%) and dyspnea increased the death significantly (OR= 1.31, 4.57). The rate of death of COVID-19 cases is 0.03-times lower than the rate of survival (OR = 0.03). Conclusion: Our result indicates that male patients are affected severely or died, the rate of death is more in the age ≥50 group, and the rate of death is affected by comorbidities and clinical symptoms.

An in vivo and in vitro Evaluation of Anti-inflammatory Action of Seeds of Vigna unguiculata Available in Bangladeshi Region

Therapeutic Potentiality of Diospyros blancoi Linn. Seeds Against Pain, Thrombus and Inflammation: An in vivo and in vitro Study