Application of extreme environmental conditions to resuscitation of viable but non culturable E. coli DH5α

The resuscitation of Viable But Non-Culturable (VBNC) state in Escherichia coli DH5α as one of the most usable expression host was investigated. The VBNC state in bacteria is defined as while the cells are alive but unable to grow visibly on nonselective growth medium. After collecting several samples, Non-culturable E. coli DH5α (that has undertaken on various recombinant manipulations) were divided into different groups in order to carry-out different experiments. They were treated to heat shock at 42ºC in different periods of time, different concentration of Bile-salts and NaCl and combinational of these methods. The results showed that the almost of resuscitation treatment had positive effect on reactivation of VBNC E. coli DH5α. The combination of these parameters (various NaCl and bile salts concentration and heat shock method at 42 °C in different time) in a binary manner, also inferred to suitable results. Furthermore, by applying the three stresses simultaneously we achieved optical density up to 0.58 and 9×108 CFU/ml which had presented the best results. The results show that by applying some alterations in the condition of such recombinant E. coli DH5α, the growth path of these bacteria which remain to a VBNC phase can be changed to the normal status

An Empirical Analysis Of Underlying Factors Affecting The Choice Of Accounting Major

This study explores the factors that influence a student’s choice of major along with students’ perceptions of accounting classes and the accounting profession The results indicate that students are most strongly influenced in their choice of major by a genuine interest in the subject matter.  This finding is the same regardless of major and gender.  Other influential factors include availability of employment, starting pay, and the ability to interact with people.  The factor with the least amount of influence on selection of a major is the expected ease of earning a degree

Predictors for the severe coronavirus disease 2019 (COVID-19) infection in patients with underlying liver disease: a retrospective analytical study in Iran

Risk factors for clinical outcomes of COVID-19 pneumonia have not yet been well established in patients with underlying liver diseases. Our study aimed to describe the clinical characteristics and outcomes of COVID-19 infection among patients with underlying liver diseases and determine the risk factors for severe COVID-19 among them. In a retrospective analytical study, 1002 patients with confirmed COVID-19 pneumonia were divided into two groups: patients with and without underlying liver diseases. The admission period was from 5 March to 14 May 2020. The prevalence of underlying conditions, Demographic data, clinical parameters, laboratory data, and participants' outcomes were evaluated. Logistic regression was used to estimate the predictive factors. Eighty-one (8) of patients had underlying liver diseases. The frequencies of gastrointestinal symptoms such as diarrhea and vomiting were significantly higher among patients with liver diseases (48 vs. 25 and 46.1 vs. 30 respectively, both P < 0.05). Moreover, ALT and AST were significantly higher among patients with liver diseases (54.5 ± 45.6 vs. 37.1 ± 28.4, P = 0.013 and 41.4 ± 27.2 vs. 29.2 ± 24.3, P = 0.028, respectively). Additionally, the mortality rate was significantly high in patients with liver disease (12.4 vs. 7, P = 0.018). We also observed that the parameters such as neutrophil to leukocyte ratio Odds Ratio Adjusted (ORAdj) 1.81, 95% CI 1.21�3.11, P = 0.011 and blood group A (ORAdj 1.59, 95% CI 1.15�2.11, P = 0.001) were associated with progression of symptoms of COVID-19. The presence of underlying liver diseases should be considered one of the poor prognostic factors for worse outcomes in patients with COVID-19. © 2021, The Author(s)

Exploring cut-off values for large waist circumference in older adults: a new methodological approach

BACKGROUND: There is an ongoing debate about the applicability of current criteria for large waist circumference (WC) in older adults. OBJECTIVES: Our aim was to explore cut-off values for large WC in adults aged 70 years and older, using previously used and new methods. DESIGN: Prospective cohort study. PARTICIPANTS: Data of 1049 participants of the Longitudinal Aging Study Amsterdam (LASA) (1995-1996), aged 70-88y, were used. MEASUREMENTS: Measured BMI and WC, and self-reported mobility limitations. RESULTS: Linear regression analyses showed that the values of WC corresponding to BMI of 25kg/m2 and 30kg/m2 were higher than the current cut-offs. Cut-offs found in men were 97 and 110cm, whereas 88 and 98cm represented the cut-offs in women. Areas under the Receiver Operating Characteristic (ROC) curves showed that the accuracy to predict mobility limitations improved when the higher cut-offs were applied. Spline regression curves showed that the relationship of WC with mobility limitations was U-shaped in men, while in women, the risk for mobility limitations increased gradually with increasing WC. However, at the level of current cut-off values for WC the odds for mobility limitations were not increased. CONCLUSION: Based on results of extensive analyses, this study suggests that the cut-offs for large WC should be higher when applied to older adults. The association of WC with other negative health outcomes needs to be investigated to establish the final cut-points

Adiposity in early, middle and later adult life and cardiometabolic risk markers in later life; findings from the British regional heart study.

OBJECTIVES: This research investigates the associations between body mass index (BMI) at 21, 40-59, 60-79 years of age on cardiometabolic risk markers at 60-79 years. METHODS: A prospective study of 3464 British men with BMI measured at 40-59 and 60-79 years, when cardiometabolic risk was assessed. BMI at 21 years was ascertained from military records, or recalled from middle-age (adjusted for reporting bias); associations between BMI at different ages and later cardiometabolic risk markers were examined using linear regression. Sensitive period, accumulation and mobility life course models were devised for high BMI (defined as BMI≥75th centile) and compared with a saturated BMI trajectory model. RESULTS: At ages 21, 40-59 and 60-79 years, prevalences of overweight (BMI≥25 kg/m2) were 12%, 53%, 70%, and obesity (≥30 kg/m2) 1.6%, 6.6%, and 17.6%, respectively. BMI at 21 years was positively associated with serum insulin, blood glucose, and HbA1c at 60-79 years, with increases of 1.5% (95%CI 0.8,2.3%), 0.4% (0.1,0.6%), 0.3% (0.1,0.4%) per 1 kg/m2, respectively, but showed no associations with blood pressure or blood cholesterol. However, these associations were modest compared to those between BMI at 60-79 years and serum insulin, blood glucose and HbA1c at 60-79 years, with increases of 8.6% (8.0,9.2%), 0.7% (0.5,0.9%), and 0.5% (0.4,0.7%) per 1 kg/m2, respectively. BMI at 60-79 years was also associated with total cholesterol and blood pressure. Associations for BMI at 40-59 years were mainly consistent with those of BMI at 60-79 years. None of the life course models fitted the data as well as the saturated model for serum insulin. A sensitive period at 50 years for glucose and HbA1c and sensitive period at 70 years for blood pressure were identified. CONCLUSIONS: In this cohort of men who were thin compared to more contemporary cohorts, BMI in later life was the dominant influence on cardiovascular and diabetes risk. BMI in early adult life may have a small long-term effect on diabetes risk

Does Random Treatment Assignment Cause Harm to Research Participants?

BACKGROUND: Some argue that by precluding individualized treatment, randomized clinical trials (RCTs) provide substandard medical care, while others claim that participation in clinical research is associated with improved patient outcomes. However, there are few data to assess the impact of random treatment assignment on RCT participants. We therefore performed a systematic review to quantify the differences in health outcomes between randomized trial participants and eligible non-participants. METHODS AND FINDINGS: Studies were identified by searching Medline, the Web of Science citation database, and manuscript references. Studies were eligible if they documented baseline characteristics and clinical outcomes of RCT participants and eligible non-participants, and allowed non-participants access to the same interventions available to trial participants. Primary study outcomes according to patient group (randomized trial participants versus eligible non-participants) were extracted from all eligible manuscripts. For 22 of the 25 studies (88%) meeting eligibility criteria, there were no significant differences in clinical outcomes between patients who received random assignment of treatment (RCT participants) and those who received individualized treatment assignment (eligible non-participants). In addition, there was no relation between random treatment assignment and clinical outcome in 15 of the 17 studies (88%) in which randomized and nonrandomized patients had similar health status at baseline. CONCLUSIONS: These findings suggest that randomized treatment assignment as part of a clinical trial does not harm research participants