Alterations in gut microbiota and physiological factors associated with abdominal aortic aneurysm

Abdominal aortic aneurysm(AAA)is a progressive focal dilatation and weakening of the abdominal aorta,causing 1.3%of all deaths among men aged 65–85 years worldwide.The formation of AAA is a complex process with multiple risk factors.Therefore,this study aimed to determine the relationship of disease severity and physiological factors,and gut microbiota structures in AAA patients.Physiological indicators and fecal 16S rRNA gene sequences from healthy controls and patients with AAA were collected.The correlations between the diameter of the AAA and clinical parameters,and gut microbiota composition were then analyzed separately using multivariable analysis.The diameter of AAA was extremely positively correlated with smoking index,alkaline phosphatase,blood glucose,and blood triglycerides and negatively correlated with prealbumin and Cystatin C.As the diameter of AAA increased,the α-diversity,including Chao 1,Shannon,and Simpson indices,of the gut microbiota decreased and presented a negative linear relationship.Patients with AAA with more severe disease had significantly increased relative abundance of Enterobacteriaceae and decreased relative abundance of Veillonellaceae.A strong correlation was observed between the diameter and physiological data,as well as between diameter and gut microbiota composition.This study could improve the understanding of AAA,and gut microbiota may be a potential target to prevent and treat this deadly disease.

Effectiveness of cognitive behavioral therapy-based interventions on health outcomes in patients with coronary heart disease:A metaanalysis

BACKGROUND Recently,the efficacy of cognitive behavioral therapy(CBT)-based intervention on health outcomes in patients with coronary heart disease(CHD)has been recognized in randomized controlled trials(RCTs),but no comprehensive systematic review has been conducted.To address this research gap,our study aimed to evaluate whether comprehensive CBT-based interventions positively affect health outcomes in CHD patients.It was hypothesized that CBT-based interventions are effective in:(1)Reducing depression,anxiety,and stress symptoms;(2)Reducing body mass index,blood pressure,and lipid levels;and(3)Improving quality of life,and exercise endurance.AIM To verify the effectiveness of CBT-based interventions on CHD patients through a meta-analysis of previous publications.METHODS Relevant RCTs published in English were obtained by searching electronic databases,including PubMed,Embase,Cochrane Central Register of Controlled Trials,Scopus,and Proquest,with the retrieval time from inception to August 2020.The primary outcomes were psychological factors(depression,anxiety,and stress symptoms),physiological factors(body mass index,blood pressure,blood lipids).The secondary outcomes included quality of life and exercise endurance.We used Review Manager 5.3 to conduct the meta-analysis and used the Physiotherapy Evidence Database tool to evaluate the quality of studies.RESULTS A total of 22 RCTs comprising 4991 patients with CHD were included in the systematic review and meta-analysis.The main analysis revealed that CBT-based intervention can reduce depression symptoms:-2.00[95%confidence interval(CI):-2.83 to-1.16,P<0.001];anxiety symptoms:-2.07(95%CI:-3.39 to-0.75,P=0.002);stress symptoms:-3.33(95%CI:-4.23 to-2.44,P<0.001);body mass index:-0.47(95%CI:-0.81 to-0.13,P=0.006);and improve physical functioning:3.36(95%CI:1.63 to 5.10,P=0.000)and mental functioning:6.91(95%CI:4.10 to 9.73,P<0.001).Moreover,subgroup analysis results showed that CBT-based interventions were more effective for symptoms of depression and anxiety in CHD patients when individual,as opposed to group treatment,and psycho-education,behavioral and cognitive strategies were applied as the core treatment approaches.CONCLUSION CBT-based interventions are effective treatment strategies for CHD patients,significantly improving their symptoms of depression,anxiety and stress,body mass index,and health-related quality of life.

Fatigue Analysis and Evaluation Method of Ergonomic Virtual Human

The ergonomic digital design and evaluation of man-machine system is the main application fields of virtual human technology. Because of the complexity of physical person and uncertainty of fatigue generation mechanism, it is difficult to express a nd evaluate the Virtual Human's fatigue state. This paper summarizes the characteristics of virtual human's fatigue evaluation, such as undeterminable, invisible, the constraint conditions can been used. Viewed from the strengths and weaknesses of preexisting models, metabolic energy expenditure model, dynamic muscle fatigue model and a model to assess fatigue at joint-level using the half-joint concept, this paper puts forward the future development trend that the combination of subjective and objective,diversificationoftheanalyzablemotion,real-timeandvisualexpression.