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1. Interactions of heparin with key glycoproteins of human respiratory syncytial virus

   https://doi.org/10.3389/fmolb.2023.1151174  

   Shi, Deling; He, Peng; Song, Yuefan; Linhardt, Robert J; Dordick, Jonathan S; Chi, Lianli; Zhang, Fuming (April 2023, Frontiers in Molecular Biosciences)

   Introduction:The unexpected surge of respiratory syncytial virus (RSV) cases following pandemic phase of COVID-19 has drawn much public attention. Drawing on the latest antiviral research, revisiting this heightened annual outbreak of respiratory disease could lead to new treatments. The ability of sulfated polysaccharides to compete for a variety of viruses binding to cell surface heparan sulfate, suggests several drugs that might have therapeutic potential for targeting RSV–glycosaminoglycan interactions. Methods:In the current study, the binding affinity and kinetics of two RSV glycoproteins (RSV-G protein and RSV-F protein) to heparin were investigated by surface plasmon resonance. Furthermore, solution competition studies using heparin oligosaccharides of different lengths indicated that the binding of RSV-G protein to heparin is size-dependent, whereas RSV-F protein did not show any chain length preference. Results and discussion:The two RSV glycoproteins have slightly different preferences for heparin sulfation patterns, but theN-sulfo group in heparin was most critical for the binding of heparin to both RSV-G protein and RSV-F protein. Finally, pentosan polysulfate and mucopolysaccharide polysulfate were evaluated for their inhibition of the RSV-G protein and RSV-F protein–heparin interaction, and both highly negative compounds showed strong inhibition. 

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2. Multi-faceted analysis and prediction for the outbreak of pediatric respiratory syncytial virus

   https://doi.org/10.1093/jamia/ocad212  

   Yang, Chaoqi; Gao, Junyi; Glass, Lucas; Cross, Adam; Sun, Jimeng (November 2023, Journal of the American Medical Informatics Association)

   Abstract ObjectivesRespiratory syncytial virus (RSV) is a significant cause of pediatric hospitalizations. This article aims to utilize multisource data and leverage the tensor methods to uncover distinct RSV geographic clusters and develop an accurate RSV prediction model for future seasons. Materials and MethodsThis study utilizes 5-year RSV data from sources, including medical claims, CDC surveillance data, and Google search trends. We conduct spatiotemporal tensor analysis and prediction for pediatric RSV in the United States by designing (i) a nonnegative tensor factorization model for pediatric RSV diseases and location clustering; (ii) and a recurrent neural network tensor regression model for county-level trend prediction using the disease and location features. ResultsWe identify a clustering hierarchy of pediatric diseases: Three common geographic clusters of RSV outbreaks were identified from independent sources, showing an annual RSV trend shifting across different US regions, from the South and Southeast regions to the Central and Northeast regions and then to the West and Northwest regions, while precipitation and temperature were found as correlative factors with the coefficient of determination R2≈0.5, respectively. Our regression model accurately predicted the 2022-2023 RSV season at the county level, achieving R2≈0.3 mean absolute error MAE < 0.4 and a Pearson correlation greater than 0.75, which significantly outperforms the baselines with P-values <.05. ConclusionOur proposed framework provides a thorough analysis of RSV disease in the United States, which enables healthcare providers to better prepare for potential outbreaks, anticipate increased demand for services and supplies, and save more lives with timely interventions. 

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3. Protective Factors in the Context of Successful Aging in Urban-Dwelling Alaska Native Elders

   https://doi.org/10.1007/s10823-023-09493-3  

   Kim, Steffi M; Lewis, Jordan P (March 2024, Journal of Cross-Cultural Gerontology)

   Successful aging in rural Alaska communities has been established as a characteristic best described by reaching “Eldership,” conveying reverence and respect from the community and implying leadership responsibilities. Most Alaska Native (AN) Elders believe that aging successfully or aging well happens within their home communities. However, limited rural resources lead Elders to relocate to urban settings. While protective factors supporting aging well in rural communities have been established, little is known about which factors support aging well after relocation to an urban setting. This exploratory, qualitative, community-based participatory research study explored AN Elder’s (ages 48–84) experiences comparing successful aging within four rural Alaska communities and of Elders who relocated from a rural to an urban community. Thirteen rural-based Elders and 12 urban-based Elders semi-structured interviews were compared to explore how successful aging was experienced similarly and differently in rural and urban settings. To age well in urban Alaska, access to health care services, family, and community engagement were essential. The main challenges for urban Elders involved establishing a sense of community, intergenerational involvement, and the ability to continue traditional ways of living. This research identified challenges, similarities, and differences in aging well in an urban community. The findings of this study inform practices, services, and policies to improve existing urban services and initiate needed urban services to foster successful aging after relocation from remote rural areas into urban communities in Alaska. 

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4. Attributing the Urban–Rural Contrast of Heat Stress Simulated by a Global Model

   https://doi.org/10.1175/JCLI-D-22-0436.1  

   Qin, Yue; Liao, Weilin; Li, Dan (March 2023, Journal of Climate)

   Abstract The two-resistance mechanism (TRM) attribution method, which was designed to analyze the urban–rural contrast of temperature, is improved to study the urban–rural contrast of heat stress. The improved method can be applied to diagnosing any heat stress index that is a function of temperature and humidity. As an example, in this study we use it to analyze the summertime urban–rural contrast of simplified wet bulb globe temperature (SWBGT) simulated by the Geophysical Fluid Dynamics Laboratory land model coupled with an urban canopy model. We find that the urban–rural contrast of SWBGT is primarily caused by the lack of evapotranspiration in urban areas during the daytime and the release of heat storage during the nighttime, with the urban–rural differences in aerodynamic features playing either positive or negative roles depending on the background climate. Compared to the magnitude of the urban–rural contrast of temperature, the magnitude of the urban–rural contrast of SWBGT is damped due to the moisture deficits in urban areas. We further find that the urban–rural contrast of 2-m air temperature/SWBGT is fundamentally different from that of canopy air temperature/SWBGT. Turbulent mixing in the surface layer leads to much smaller urban–rural contrasts of 2-m air temperature/SWBGT than their canopy air counterparts. Significance Statement Heat leads to serious public health concerns, but urban and rural areas have different levels of heat stress. Our study explains the magnitude and pattern of the simulated urban–rural contrast in heat stress at the global scale and improves an attribution method to quantify which biophysical processes are mostly responsible for the simulated urban–rural contrast in heat stress. We highlight two well-known causes of higher heat stress in cities: the lack of evapotranspiration and the stronger release of heat storage. Meanwhile, we draw attention to the vegetation types in rural areas, which determine the urban–rural difference in surface roughness and significantly affect the urban–rural difference in heat stress. Last, we find the urban–rural contrasts of 2-m air temperature/SWBGT are largely reduced relative to their canopy air counterparts due to the turbulent mixing effect. 

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5. Long-term changes of plumage between urban and rural populations of white-crowned sparrows ( Zonotrichia leucophrys )

   https://doi.org/10.1093/jue/juaa038  

   Smith, Shawn H; Hessong-Brown, Jesi; Lipshutz, Sara E; Phillips, Jennifer N; Rochefort, Catherine; Derryberry, Elizabeth P; Luther, David A (January 2021, Journal of Urban Ecology)

   Abstract Urbanization is one of the most extreme forms of land transformation and results in changes to ecosystems and species compositions. As a result, there are strong directional selection pressures compared to nearby rural areas. Despite a surge in research on the different selection pressures on acoustic communication in urban and rural areas, there has been comparatively little investigation into traits involved with visual communication. We measured the plumage of museum specimens of white-crowned sparrows (Zonotrichia leucophrys) from urban and adjacent rural habitats in San Francisco, CA, to assess the effects of divergent habitats on plumage. We found significant differences in dorsal plumage, but not crown plumage, between urban and rural populations that have been diverging over the past 100 years. Urban birds have increasingly darker and duller dorsal plumage, whereas rural birds in adjacent areas have plumage with richer hues and more color complexity. Our findings suggest a newly observed adaptation to urban environments by native species and suggest that many traits, in addition to acoustic signals, may be changing in response to urban selection pressures. Additional collections in urban areas are needed to explore likely divergences in plumage coloration between urban and rural environments. 

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