A Challenge for Engineering Biomimetic Microvascular Models: How do we Incorporate the Physiology?

The gap between in vitro and in vivo assays has inspired biomimetic model development. Tissue engineered models that attempt to mimic the complexity of microvascular networks have emerged as tools for investigating cell-cell and cell-environment interactions that may be not easily viewed in vivo. A key challenge in model development, however, is determining how to recreate the multi-cell/system functional complexity of a real network environment that integrates endothelial cells, smooth muscle cells, vascular pericytes, lymphatics, nerves, fluid flow, extracellular matrix, and inflammatory cells. The objective of this mini-review is to overview the recent evolution of popular biomimetic modeling approaches for investigating microvascular dynamics. A specific focus will highlight the engineering design requirements needed to match physiological function and the potential for top-down tissue culture methods that maintain complexity. Overall, examples of physiological validation, basic science discoveries, and therapeutic evaluation studies will emphasize the value of tissue culture models and biomimetic model development approaches that fill the gap between in vitro and in vivo assays and guide how vascular biologists and physiologists might think about the microcirculation.

Confirmatory Factor Analysis and Internal Consistency of the Suicidal Ideation Scale of the Center for Epidemiological Studies Depression Among Colombian Adolescents.

The current study tested the one-dimensionality of the Center for Epidemiological Studies Depression Scale for Suicidal Ideation (CES-D-SI) and its reliability among high school students in Santa Marta, Colombia. A total of 1,462 tenth and eleventh-grade students from public and private schools completed the CES-D-SI. The students were between 13 and 17 years (M = 16.0, SD = 0.8), 60.3% were female, and 55.3% were in the tenth grade. A confirmatory factor analysis (CFA) was conducted, and the chi-square, root mean square error of approximation (RMSEA), comparative fit index (CFI), Tucker-Lewis index (TLI), and standardized root mean square residual (SRMR) statistics were calculated. The internal consistency of the dimension was calculated using Cronbach's alpha and McDonald's omega coefficients. The results of the CFA were as follows: chi-square = 26.51, df =2, p = .001; RMSEA = .092; 90% confidence interval = .063-.124; CFI = .983; TLI = .950; and SRMR = .019. Cronbach's alpha coefficient was .75, and McDonald's omega coefficient was .77. As conclusions, the scale exhibited a unidimensional structure similar to that in other studies and presented good reliability values. Hence, its use is recommended to screen suicidal ideation in school-aged adolescents in Santa Marta, Colombia.

Fatalism, Emotional Regulation, and Suicide Risk in Colombian Adults During the SAR-Cov-2 Disease Epidemic.

The current pandemic of Severe Acute Syndrome (SAR-CoV-2) is a public health problem with implications for mental health. The study aimed to determine the prevalence of suicide risk and its association with fatalism and emotional regulation during SARS-CoV-2 in Colombia's adult population. A cross-sectional study was designed, an online format was used, which evaluated sociodemographic variables, CES-D-SI, the Fatalism Questionnaire against COVID-19, and the Emotional Regulation Scale. 435 Colombian adults participated, aged between 18 and 79 years. A prevalence of suicide risk was found in 5.3%, and it was associated with the interaction between living in rural area and less education (OR = 5.60, 95%CI 1.28-24.53), emotional dysregulation (OR = 3.54, 95%CI 1.77-7.09), and fatalistic beliefs (OR = 3.09, 95%CI 1.53-6.27). 5.3% of the population presented an elevated suicide risk. It was associated with less education, rural areas, fatalistic beliefs, and emotional dysregulation in the Colombian population during mandatory confinement due to SAR-CoV-2.

Social capital and psychological distress during Colombian coronavirus disease lockdown.

This study aimed to establish the association of low social capital (SC) with psychological distress indicators. A cross-sectional study was carried out using an online questionnaire that evaluated demographic variables, social capital, perceived stress related to coronavirus disease, depression risk, insomnia risk, and suicide risk. SC was taken as an independent variable, and symptoms indicating psychological distress were considered as dependent variables. A group of 700 adults aged between 18 and 76 years (M = 37, SD = 13) participated in the survey. Low SC was associated with depression risk (odds ratio [OR] = 2.00, 95% confidence interval [CI] = 1.34-2.97), elevated suicide risk (OR = 2.62, 95% CI = 1.40-4.91) high perceived stress related to coronavirus disease (OR = 2.08 95% CI, 1.15-3.76), and insomnia risk (OR = 2.42, 95% CI = 1.69-3.47). In conclusion, low CS was associated with indicators of psychological distress. SC is a community social resource that could help mitigate the quarantine impact of coronavirus disease amidst the Colombian population's psychological health.