Sleep-disordered breathing was associated with lower health-related quality of life and cognitive function in a cross-sectional study of older adults

BACKGROUND AND OBJECTIVE: The clinical significance of sleep‐disordered breathing (SDB) in older age is uncertain. This study determined the prevalence and associations of SDB with mood, daytime sleepiness, quality of life (QOL) and cognition in a relatively healthy older Australian cohort. METHODS: A cross‐sectional analysis was conducted from the Study of Neurocognitive Outcomes, Radiological and retinal Effects of Aspirin in Sleep Apnoea. Participants completed an unattended limited channel sleep study to measure the oxygen desaturation index (ODI) to define mild (ODI 5–15) and moderate/severe (ODI ≥ 15) SDB, the Centre for Epidemiological Studies Scale, the Epworth Sleepiness Scale, the 12‐item Short‐Form for QOL and neuropsychological tests. RESULTS: Of the 1399 participants (mean age 74.0 years), 36% (273 of 753) of men and 25% (164 of 646) of women had moderate/severe SDB. SDB was associated with lower physical health‐related QOL (mild SDB: beta coefficient [β] −2.5, 95% CI −3.6 to −1.3, p < 0.001; moderate/severe SDB: β −1.8, 95% CI −3.0 to −0.6, p = 0.005) and with lower global composite cognition (mild SDB: β −0.1, 95% CI −0.2 to 0.0, p = 0.022; moderate/severe SDB: β −0.1, 95% CI −0.2 to 0.0, p = 0.032) compared to no SDB. SDB was not associated with daytime sleepiness nor depression. CONCLUSION: SDB was associated with lower physical health‐related quality of life and cognitive function. Given the high prevalence of SDB in older age, assessing QOL and cognition may better delineate subgroups requiring further management, and provide useful treatment target measures for this age group

Raiders of the Lost Bark: Orangutan Foraging Strategies in a Degraded Landscape

Deforestation is rapidly transforming primary forests across the tropics into human-dominated landscapes. Consequently, conservationists need to understand how different taxa respond and adapt to these changes in order to develop appropriate management strategies. Our two year study seeks to determine how wild Sumatran orangutans (Pongo abelii) adapt to living in an isolated agroforest landscape by investigating the sex of crop-raiders related to population demographics, and their temporal variations in feeding behaviour and dietary composition. From focal animal sampling we found that nine identified females raided cultivated fruits more than the four males. Seasonal adaptations were shown through orangutan feeding habits that shifted from being predominantly fruit-based (56% of the total feeding time, then 22% on bark) to the fallback food of bark (44%, then 35% on fruits), when key cultivated resources such as jackfruit (Artocarpus integer), were unavailable. Cultivated fruits were mostly consumed in the afternoon and evening, when farmers had returned home. The finding that females take greater crop-raiding risks than males differs from previous human-primate conflict studies, probably because of the low risks associated (as farmers rarely retaliated) and low intraspecific competition between males. Thus, the behavioral ecology of orangutans living in this human-dominated landscape differs markedly from that in primary forest, where orangutans have a strictly wild food diet, even where primary rainforests directly borders farmland. The importance of wild food availability was clearly illustrated in this study with 21% of the total orangutan feeding time being allocated to feeding on cultivated fruits. As forests are increasingly converted to cultivation, humans and orangutans are predicted to come into conflict more frequently. This study reveals orangutan adaptations for coexisting with humans, e.g. changes in temporal foraging patterns, which should be used for guiding the development of specific human-wildlife conflict mitigation strategies to lessen future crop-raiding and conflicts

Endocrine therapy resistant ESR1 variants revealed by genomic characterization of breast cancer derived xenografts

To characterize patient-derived xenografts (PDXs) for functional studies, we made whole-genome comparisons with originating breast cancers representative of the major intrinsic subtypes. Structural and copy number aberrations were found to be retained with high fidelity. However, at the single-nucleotide level, variable numbers of PDX-specific somatic events were documented, although they were only rarely functionally significant. Variant allele frequencies were often preserved in the PDXs, demonstrating that clonal representation can be transplantable. Estrogen-receptor-positive PDXs were associated with ESR1 ligand-binding-domain mutations, gene amplification, or an ESR1/YAP1 translocation. These events produced different endocrine-therapy-response phenotypes in human, cell line, and PDX endocrine-response studies. Hence, deeply sequenced PDX models are an important resource for the search for genome-forward treatment options and capture endocrine-drug-resistance etiologies that are not observed in standard cell lines. The originating tumor genome provides a benchmark for assessing genetic drift and clonal representation after transplantation

Direct detection and measurement of wall shear stress using a filamentous bio-nanoparticle

The wall shear stress (WSS) that a moving fluid exerts on a surface affects many processes including those relating to vascular function. WSS plays an important role in normal physiology (e.g. angiogenesis) and affects the microvasculature's primary function of molecular transport. Points of fluctuating WSS show abnormalities in a number of diseases; however, there is no established technique for measuring WSS directly in physiological systems. All current methods rely on estimates obtained from measured velocity gradients in bulk flow data. In this work, we report a nanosensor that can directly measure WSS in microfluidic chambers with sub-micron spatial resolution by using a specific type of virus, the bacteriophage M13, which has been fluorescently labeled and anchored to a surface. It is demonstrated that the nanosensor can be calibrated and adapted for biological tissue, revealing WSS in micro-domains of cells that cannot be calculated accurately from bulk flow measurements. This method lends itself to a platform applicable to many applications in biology and microfluidics

The future of sleep‐disordered breathing: A public health crisis

The growing importance of digital technology as an enabler of innovations in health care is highlighted in the current coronavirus disease 2019 (COVID‐19) pandemic, which understandably is the focus of current global public health concerns. By combining information from people's smart phones, face‐recognizing cameras and self‐reported body temperature, machine learning algorithms have enabled the Chinese government to quickly identify suspected COVID‐19 carriers and contacts. Information has been efficiently and quickly disseminated through mobile apps such as Tencent Maps and WeChat which alert people when near infected patients. While individual privacy has clearly been sidelined during the public health crisis, the technology has demonstrated how responsive and effective digital monitoring devices and machine learning algorithms can be. A lasting and beneficial outcome from the COVID‐19 crisis may be a fast‐tracking of smart digital analytics for disease management

The future of sleep-disordered breathing: A public health crisis

The growing importance of digital technology as an enabler of innovations in health care is highlighted in the current coronavirus disease 2019 (COVID‐19) pandemic, which understandably is the focus of current global public health concerns. By combining information from people's smart phones, face‐recognizing cameras and self‐reported body temperature, machine learning algorithms have enabled the Chinese government to quickly identify suspected COVID‐19 carriers and contacts. Information has been efficiently and quickly disseminated through mobile apps such as Tencent Maps and WeChat which alert people when near infected patients. While individual privacy has clearly been sidelined during the public health crisis, the technology has demonstrated how responsive and effective digital monitoring devices and machine learning algorithms can be. A lasting and beneficial outcome from the COVID‐19 crisis may be a fast‐tracking of smart digital analytics for disease management

Cardiovascular mortality and morbidity in chronic obstructive pulmonary disease : the impact of bronchodilator treatment

Chronic obstructive pulmonary disease (COPD) is a substantial health burden. Cardiovascular disease (CVD), the leading cause of death, frequently coexists with COPD, an effect attributed to high individual disease prevalences and shared risk factors. It has long been recognized that COPD, whether stable or during acute exacerbations, is associated with an excess of cardiac arrhythmias. Bronchodilator medications have been implicated in the excess CVD seen in COPD, either as an intrinsic medication effect or related to side-effects. Despite the theory behind increased pro-arrhythmic effects in COPD, the reported results of trials investigating this for inhaled formulations at therapeutic doses are few. Methodological flaws, retrospective analysis and inadequate adjustment for concomitant medications, including short-acting 'relief' bronchodilators and non-respiratory medications with known arrhythmia propensity, mar many of these studies. For most bronchodilators at therapeutic levels in stable COPD, we can be reassured of their safety from current studies. The exception to this is ipratropium bromide, where the current data indicate an association with increased cardiovascular adverse effects. Moreover, there is no proven benefit from combining short-acting beta-agonists with short-acting anticholinergics at high doses in the acute setting, and although this practice is widespread, it is associated with increased cardiovascular risk