We conducted a molecular analysis in our patient due to his Parkinsonism and recurrent episodes of encephalopathy. E1143G mutation found in our case was coincidental and reported a non-pathogenic or benign variant in literature. E1143G is a non-pathogenic variant and multiple studies have shown that its co-occurrence with other POLG mutations can aggravate disease occurrence and severity. Literature findings and the experience from our own case indicate that the pathogenicity of E1143G is debatable, and future studies involving this particular variant may help understand its pathological consequences.E1143G is a non-pathogenic variant and multiple studies have shown that its co-occurrence with other POLG mutations can aggravate disease occurrence and severity. Literature findings and the experience from our own case indicate that the pathogenicity of E1143G is debatable, and future studies involving this particular variant may help understand its pathological consequences. Physical exercise may help combat disease and elicits a possible "protective" anti-inflammatory effect on the body. Inflammatory cytokines, C-reactive protein (CRP), interleukin-6 (IL-6), and tumor necrosis factor-α (TNFα), along with transcription factor, nuclear factor-kappa B (NF B) in young (n=16, 21.1±2.1 years) individuals were examined in a cross-sectional descriptive study, to assess the effects of chronic stimulation on their expression and relationship with health parameters. Fasting venous whole blood and lipid levels along with body composition measurements were obtained from young, healthy, endurance-trained NCAA Division III student-athletes and untrained individuals. Assays (ELISA) were conducted to analyze fasting plasma (CRP, IL-6, and TNFα) and isolated lymphocyte NF- B activation (lymphocytes were isolated from whole blood samples through differential centrifugation and Ficoll-Paque). A Spearman's rank order correlation coefficient was used for associations between variables and a regression analysis was performed to determine which measurement accounted for the inflammation in this young and apparently healthy population. While the inflammatory markers were not associated with each other, CRP levels were associated with body composition and following regression analyses, body fat percentage ( >0.05) was a significant factor for elevated CRP. Chronic physical exercise eliciting lower body fat percentages in young adults may have a positive protective impact through anti-inflammatory status, minimizing disease risk in a young population. Chronic physically active young adult patients may exhibit less inflammation and lower body fat levels which may decrease their risk for chronic disease.Chronic physically active young adult patients may exhibit less inflammation and lower body fat levels which may decrease their risk for chronic disease.The COVID-19 pandemic has infected over 25 million of people worldwide, 5% of whom evolved to death and, among of the active cases, more than 60 thousand are classified as critical or severe. Recent studies revealed that ApoE, a protein encoded by APOE gene, may increase the risk of severe COVID-19 cases. ApoE has been involved with prevention of tissue damage and promotion of adaptative immune response in the lungs. This study investigated frequencies distribution of alleles that alter the ApoE expression in lung tissues to trace a profile of these variants and associate them to COVID-19 clinical outcomes. Data about APOE expression levels was obtained from the Genotype-Tissue Expression Project and the allele frequencies of APOE variants was acquired from the populations included in the phase 3 release of the 1000 Genomes Project. A total of 128 variants showed a significant impact on the APOE expression in lung tissues (p less then 0.0001). Linkage Disequilibrium analysis revealed that 98 variants were closely grouped into seven distinct haplotype blocks, of which six were composed of variants that significantly decrease APOE gene expression in the lungs. Most of the haplotypes with higher impact on APOE expression showed greater frequencies in Europeans and lower in Africans, which implies that European populations might be more susceptible to SARS-CoV-2 infection. The present study indicates a potential genetic contribution of APOE expression-modifying variants in modulating the prognosis of COVID-19.Machine learning (ML) methods can be leveraged to prevent the spread of deadly infectious disease outbreak (e.g., COVID-19). This can be done by applying machine learning methods in predicting and detecting the deadly infectious disease. Most reviews did not discuss about the machine learning algorithms, datasets and performance measurements used for various applications in predicting and detecting the deadly infectious disease. In contrast, this paper outlines the literature review based on two major ways (e.g., prediction, detection) to limit the spread of deadly disease outbreaks. Hence, this study aims to investigate the state of the art, challenges and future works of leveraging ML methods to detect and predict deadly disease outbreaks according to two categories mentioned earlier. Specifically, this study provides a review on various approaches (e.g., individual and ensemble models), types of datasets, parameters or variables and performance measures used in the previous works. The literature review included all articles from journals and conference proceedings published from 2010 through 2020 in Scopus indexed databases using the search terms Predicting Disease Outbreaks and/or Detecting Disease using Machine Learning. The findings from this review focus on commonly used machine learning approaches, challenges and future works to limit the spread of deadly disease outbreaks through preventions and detections. During the nationwide lockdown implemented by the government of Bangladesh due to the coronavirus, has led to the various changes in the overall activities and lifestyle. Most of the people began living a sedentary lifestyle, spending more time on their phone, watching television and excessive sleeping. Reduction of physical activity level had profoundly negative impact on musculoskeletal health. This study aims to investigate the impact of lockdown on musculoskeletal health, association between leisure and musculoskeletal pain during this period. A cross sectional study was conducted among general populations living in a specific area of Bangladesh by simple random sampling methods. A total of 230 participants both male (182) and female (48) age group between 18-60 years have participated. The study was carried out by sending the Google Form link containing demographic questionnaire, numeric pain rating scale and Nordic musculoskeletal Questionnaire. Selleckchem Subasumstat Wilcoxon sign rank t and Chi squire test was used to analyze the data.