Does food insecurity impact subjective evaluation of well-being? Evidence from a developing country

Understanding the relationship between food insecurity and subjective evaluation of well-being is critical in designing social welfare policies, especially in developing countries. Surprisingly, literature on the topic is scarce. This study adopted Van Praag's theoretical framework and used household survey data from Ghana to investigate the monetary income which households facing severe food insecurity require to reach a given level of verbal qualification of well-being. We found that households that are food insecure require a higher monetary income to reach the same level of verbal qualification of well-being than their counterparts who are food secure. Furthermore, per capita household income levels positively correlate with monetary income requirements, indicating a weak correlation between food security and per capita household income. Households that receive support from others require a lower level of income than either those who give support or those who neither give nor receive support

Downregulation of Cinnamyl-Alcohol Dehydrogenase in Switchgrass by RNA Silencing Results in Enhanced Glucose Release after Cellulase Treatment

Cinnamyl alcohol dehydrogenase (CAD) catalyzes the last step in monolignol biosynthesis and genetic evidence indicates CAD deficiency in grasses both decreases overall lignin, alters lignin structure and increases enzymatic recovery of sugars. To ascertain the effect of CAD downregulation in switchgrass, RNA mediated silencing of CAD was induced through Agrobacterium mediated transformation of cv. ‘‘Alamo’’ with an inverted repeat construct containing a fragment derived from the coding sequence of PviCAD2. The resulting primary transformants accumulated less CAD RNA transcript and protein than control transformants and were demonstrated to be stably transformed with between 1 and 5 copies of the TDNA. CAD activity against coniferaldehyde, and sinapaldehyde in stems of silenced lines was significantly reduced as was overall lignin and cutin. Glucose release from ground samples pretreated with ammonium hydroxide and digested with cellulases was greater than in control transformants. When stained with the lignin and cutin specific stain phloroglucinol- HCl the staining intensity of one line indicated greater incorporation of hydroxycinnamyl aldehydes in the lignin

Super-Resolution Imaging of C-Type Lectin and Influenza Hemagglutinin Nanodomains on Plasma Membranes Using Blink Microscopy

AbstractDendritic cells express DC-SIGN, a C-type lectin (CTL) that binds a variety of pathogens and facilitates their uptake for subsequent antigen presentation. DC-SIGN forms remarkably stable microdomains on the plasma membrane. However, inner leaflet lipid markers are able to diffuse through these microdomains suggesting that, rather than being densely packed with DC-SIGN proteins, an elemental substructure exists. Therefore, a super-resolution imaging technique, Blink Microscopy (Blink), was applied to further investigate the lateral distribution of DC-SIGN. Blink indicates that DC-SIGN, another CTL (CD206), and influenza hemagglutinin (HA) are all localized in small (∼80 nm in diameter) nanodomains. DC-SIGN and CD206 nanodomains are randomly distributed on the plasma membrane, whereas HA nanodomains cluster on length scales up to several microns. We estimate, as a lower limit, that DC-SIGN and HA nanodomains contain on average two tetramers or two trimers, respectively, whereas CD206 is often nonoligomerized. Two-color Blink determined that different CTLs rarely occupy the same nanodomain, although they appear colocalized using wide-field microscopy. What to our knowledge is a novel domain structure emerges in which elemental nanodomains, potentially capable of binding viruses, are organized in a random fashion; evidently, these nanodomains can be clustered into larger microdomains that act as receptor platforms for larger pathogens like yeasts

Social capital is associated with improved subjective well-being of older adults with chronic non-communicable disease in six low- and middle-income countries

Background: Non-communicable diseases (NCDs) are increasingly contributing to the morbidity and mortality burden of low and-middle income countries (LMIC). Social capital, particularly participation has been considered as a possible protective factor in the prevention and management of chronic conditions. It is also largely shown to have a negative effect on the well-being of patients. The current discourse on the well-being of individuals with NCDs is however focused more on a comparison with those with no NCDs without considering the difference between individuals with one chronic condition versus those with multiple chronic conditions (MCC). Method and objective: We employed a multinomial logit model to examine the effect of social capital, particularly social participation, on the subjective well-being (SWB) of older adults with single chronic condition and MCC in six LMIC. Findings: Social capital was associated with increased subjective well-being of adults in all the six countries. The positive association between social capital and subjective well-being was higher for those with a single chronic condition than those with multiple chronic conditions in India and South Africa. Conversely, an increase in the likelihood of having higher subjective well-being as social capital increased was greater for those with multiple chronic conditions compared to those with a single chronic condition in Ghana. Discussion: The findings suggest that improving the social capital of older adults with chronic diseases could potentially improve their subjective well-being. This study, therefore, provides valuable insights into potential social determinants of subjective well-being of older adults with chronic diseases in six different countries undergoing transition. Additional research is needed to determine if these factors do in fact have causal effects on SWB in these populations

Patterns and drivers of plant functional group dominance across the Western Hemisphere: a macroecological re-assessment based on a massive botanical dataset

Plant functional group dominance has been linked to climate, topography and anthropogenic factors. Here, we assess existing theory linking functional group dominance patterns to their drivers by quantifying the spatial distribution of plant functional groups at a 100-km grid scale. We use a standardized plant species occurrence dataset of unprecedented size covering the entire New World. Functional group distributions were estimated from 3 648 533 standardized occurrence records for a total of 83 854 vascular plant species, extracted from the Botanical Information and Ecology Network (BIEN) database. Seven plant functional groups were considered, describing major differences in structure and function: epiphytes; climbers; ferns; herbs; shrubs; coniferous trees; and angiosperm trees. Two measures of dominance (relative number of occurrences and relative species richness) were analysed against a range of hypothesized predictors. The functional groups showed distinct geographical patterns of dominance across the New World. Temperature seasonality and annual precipitation were most frequently selected, supporting existing hypotheses for the geographical dominance of each functional group. Human influence and topography were secondarily important. Our results support the prediction that future climate change and anthropogenic pressures could shift geographical patterns in dominance of plant functional groups, with probable consequences for ecosystem functioning

Identification of global inhibitors of cellular glycosylation

Small molecule inhibitors of glycosylation enzymes are valuable tools for dissecting glycan functions and potential drug candidates. Screening for inhibitors of glycosyltransferases are mainly performed by in vitro enzyme assays with difficulties moving candidates to cells and animals. Here, we circumvent this by employing a cell-based screening assay using glycoengineered cells expressing tailored reporter glycoproteins. We focused on GalNAc-type O-glycosylation and selected the GalNAc-T11 isoenzyme that selectively glycosylates endocytic low-density lipoprotein receptor (LDLR)-related proteins as targets. Our screen of a limited small molecule compound library did not identify selective inhibitors of GalNAc-T11, however, we identify two compounds that broadly inhibited Golgi-localized glycosylation processes. These compounds mediate the reversible fragmentation of the Golgi system without affecting secretion. We demonstrate how these inhibitors can be used to manipulate glycosylation in cells to induce expression of truncated O-glycans and augment binding of cancer-specific Tn-glycoprotein antibodies and to inhibit expression of heparan sulfate and binding and infection of SARS-CoV-2