Cells respond to inflammatory disease states by releasing exosomes containing highly specific protein and RNA cargos, but how inflammation alters cargo specificity and secretion of exosomes is unknown. We show that increases in exosome secretion induced by either viral infection or LPS/ATP exposure result from inflammasome activation and subsequent caspase-1-dependent cleavage of the trafficking adaptor protein RILP. This cleaved form of RILP promotes the movement of multivesicular bodies toward the cell periphery and induces selective exosomal miRNA cargo loading. We have identified a common short sequence motif present in miRNAs that are selectively loaded into exosomes after RILP cleavage. This motif binds the RNA binding protein FMR1 and directs miRNA loading into exosomes via interaction with components of the ESCRT (endosomal sorting complex required for transport) pathway. These results indicate that inflammasome-mediated RILP cleavage, and sequence-specific interactions between miRNAs and FMR1, play a significant role in exosome cargo loading and enhanced secretion during cellular inflammatory responses. Sleep is an important, restorative behavior for health, yet many adults report troubled sleep. The existence of a support network may be beneficial for sleep quality, including as a buffer for stressful events, yet few studies have examined these relationships longitudinally. To examine the causal effect of changes in personal network support on sleep quality both directly and as a buffer of negative life events among young and older adults. The UC Berkeley Social Network survey collected data from young (21-30 year old, n = 475) and late middle-age (50-70 year old, n = 637) adults across three waves between 2015 and 2018. Participants reported on personal network characteristics, negative life events, and number of nights with trouble falling and staying asleep. Fixed effects models are used to examine causal relationships among each age cohort. Direct effects of network support on sleep quality were observed among older adults. Insufficient practical support predicted higher rates of trouble fallingps especially during times of stress for younger adults. Sexual minority populations in the United States have persistently higher rates of cigarette use than heterosexuals, partially driven by exposure to minority stressors (e.g., discrimination and victimization). Little is known about cigarette use across cohorts of sexual minority adults who came of age in distinctly different sociopolitical environments. To examine cigarette use and minority stressors across three age cohorts of U.S. sexual minority adults. We used data from the Generations Study, a nationally representative sample (N = 1,500) of White, Black, and Latino/a sexual minority adults in three age cohorts (younger 18-25 years; middle 34-41 years; and older 52-59 years). read more Survey data were collected from March 2016 to March 2017. We used sex-stratified logistic regression models to estimate adjusted odds ratios (aORs) and 95% confidence intervals (CIs) for associations between age cohort, minority stressors (discrimination and victimization), and two indicators of cigarette smoking (lifetime use and current use). Prevalence of current cigarette use in each age cohort was high (younger 20%; middle 33%; and older 29%). Relative to the younger cohort, men and women in the middle- and older-age cohorts had significantly higher odds of lifetime and current smoking (e.g., men, current, aOR [95% CI] middle = 2.47 [1.34, 4.52], older = 2.85 [1.66, 4.93]). Minority stressors were independently associated with higher odds of current smoking; when victimization was included, the magnitude of the association between age cohort and current smoking was diminished but remained significant. Smoking cessation interventions must consider the role of minority stress and the unique needs of sexual minority people across the life course.Smoking cessation interventions must consider the role of minority stress and the unique needs of sexual minority people across the life course.The SIR ('susceptible-infectious-recovered') formulation is used to uncover the generic spread mechanisms observed by COVID-19 dynamics globally, especially in the early phases of infectious spread. During this early period, potential controls were not effectively put in place or enforced in many countries. Hence, the early phases of COVID-19 spread in countries where controls were weak offer a unique perspective on the ensemble-behavior of COVID-19 basic reproduction number Ro inferred from SIR formulation. The work here shows that there is global convergence (i.e., across many nations) to an uncontrolled Ro = 4.5 that describes the early time spread of COVID-19. This value is in agreement with independent estimates from other sources reviewed here and adds to the growing consensus that the early estimate of Ro = 2.2 adopted by the World Health Organization is low. A reconciliation between power-law and exponential growth predictions is also featured within the confines of the SIR formulation. The effects of testing ramp-up and the role of 'super-spreaders' on the inference of Ro are analyzed using idealized scenarios. Implications for evaluating potential control strategies from this uncontrolled Ro are briefly discussed in the context of the maximum possible infected fraction of the population (needed to assess health care capacity) and mortality (especially in the USA given diverging projections). Model results indicate that if intervention measures still result in Ro > 2.7 within 44 days after first infection, intervention is unlikely to be effective in general for COVID-19.Beta diversity can be portioned into local contributions to beta diversity (LCBD), which represents the degree of community composition uniqueness of a site compared to regionally sampled sites. LCBD can fluctuate among seasons and ecoregions according to site characteristics, species dispersal abilities, and biotic interactions. In this context, we examined anuran seasonal patterns of LCBD in different ecoregions of Western Brazil, and assessed their correlation with species richness and if environmental (climatic variables, pond area and ecoregions) and/or spatial predictors (spatial configuration of sampling sites captured by distance-based Moran's Eigenvector Maps) would drive patterns of LCBD. We sampled anurans in 19 ponds in different ecoregions in the Mato Grosso do Sul state, Western Brazil, during one dry and one rainy season. We found that LCBD patterns were similar between seasons with sites tending to contribute in the same way for community composition uniqueness during the dry and rainy season.