Beyond the martial façade: gender, heritage and medieval castles

Gendered interpretations are rare both within castle-studies and heritage discourses on medieval castles. Yet, castles hold potential to inform multi-vocal accounts of the medieval past and to inspire meaningful heritage interpretations to achieve greater societal impact. This article explores the role that gender currently plays in interpretations of medieval castles in Britain, supported by three case-studies written by heritage professionals. The enduring narrative of militarism at medieval castles sites is discussed, together with issues of authenticity in relation to the historical record, which is in itself biased and inherently gendered. Outcomes from a collaborative workshop highlight the need to address interpretative issues where gender is considered to equate to ‘making women visible’. Finally, we pose the question: What makes a ‘good gendered interpretation’ at a public heritage site

Whole-genome sequencing reveals host factors underlying critical COVID-19

Critical COVID-19 is caused by immune-mediated inflammatory lung injury. Host genetic variation influences the development of illness requiring critical care1 or hospitalization2–4 after infection with SARS-CoV-2. The GenOMICC (Genetics of Mortality in Critical Care) study enables the comparison of genomes from individuals who are critically ill with those of population controls to find underlying disease mechanisms. Here we use whole-genome sequencing in 7,491 critically ill individuals compared with 48,400 controls to discover and replicate 23 independent variants that significantly predispose to critical COVID-19. We identify 16 new independent associations, including variants within genes that are involved in interferon signalling (IL10RB and PLSCR1), leucocyte differentiation (BCL11A) and blood-type antigen secretor status (FUT2). Using transcriptome-wide association and colocalization to infer the effect of gene expression on disease severity, we find evidence that implicates multiple genes—including reduced expression of a membrane flippase (ATP11A), and increased expression of a mucin (MUC1)—in critical disease. Mendelian randomization provides evidence in support of causal roles for myeloid cell adhesion molecules (SELE, ICAM5 and CD209) and the coagulation factor F8, all of which are potentially druggable targets. Our results are broadly consistent with a multi-component model of COVID-19 pathophysiology, in which at least two distinct mechanisms can predispose to life-threatening disease: failure to control viral replication; or an enhanced tendency towards pulmonary inflammation and intravascular coagulation. We show that comparison between cases of critical illness and population controls is highly efficient for the detection of therapeutically relevant mechanisms of disease

The mammals of Angola

Scientific investigations on the mammals of Angola started over 150 years ago, but information remains scarce and scattered, with only one recent published account. Here we provide a synthesis of the mammals of Angola based on a thorough survey of primary and grey literature, as well as recent unpublished records. We present a short history of mammal research, and provide brief information on each species known to occur in the country. Particular attention is given to endemic and near endemic species. We also provide a zoogeographic outline and information on the conservation of Angolan mammals. We found confirmed records for 291 native species, most of which from the orders Rodentia (85), Chiroptera (73), Carnivora (39), and Cetartiodactyla (33). There is a large number of endemic and near endemic species, most of which are rodents or bats. The large diversity of species is favoured by the wide range of habitats with contrasting environmental conditions, while endemism tends to be associated with unique physiographic settings such as the Angolan Escarpment. The mammal fauna of Angola includes 2 Critically Endangered, 2 Endangered, 11 Vulnerable, and 14 Near-Threatened species at the global scale. There are also 12 data deficient species, most of which are endemics or near endemics to the countryinfo:eu-repo/semantics/publishedVersio

Whole-genome sequencing reveals host factors underlying critical COVID-19

Critical COVID-19 is caused by immune-mediated inflammatory lung injury. Host genetic variation influences the development of illness requiring critical care1 or hospitalization2,3,4 after infection with SARS-CoV-2. The GenOMICC (Genetics of Mortality in Critical Care) study enables the comparison of genomes from individuals who are critically ill with those of population controls to find underlying disease mechanisms. Here we use whole-genome sequencing in 7,491 critically ill individuals compared with 48,400 controls to discover and replicate 23 independent variants that significantly predispose to critical COVID-19. We identify 16 new independent associations, including variants within genes that are involved in interferon signalling (IL10RB and PLSCR1), leucocyte differentiation (BCL11A) and blood-type antigen secretor status (FUT2). Using transcriptome-wide association and colocalization to infer the effect of gene expression on disease severity, we find evidence that implicates multiple genes—including reduced expression of a membrane flippase (ATP11A), and increased expression of a mucin (MUC1)—in critical disease. Mendelian randomization provides evidence in support of causal roles for myeloid cell adhesion molecules (SELE, ICAM5 and CD209) and the coagulation factor F8, all of which are potentially druggable targets. Our results are broadly consistent with a multi-component model of COVID-19 pathophysiology, in which at least two distinct mechanisms can predispose to life-threatening disease: failure to control viral replication; or an enhanced tendency towards pulmonary inflammation and intravascular coagulation. We show that comparison between cases of critical illness and population controls is highly efficient for the detection of therapeutically relevant mechanisms of disease

The profile of patients with venous leg ulcers: A systematic review and global perspective

A holistic profile that includes demographic, medical history and wound characteristics of individuals with venous leg ulceration is lacking. Lack of such a profile negatively impacts the ability to develop interventions to improve patient outcomes. To describe the profile of the patient population with venous leg ulceration from published observational (non-interventional) studies and to identify gaps in the knowledge base for future research in this area. A systematic review of observational studies that included more than 50 patients, from any world region, of any age and in any care setting. twenty studies, involving 3395 patients, from all world regions met our criteria. Demographic characteristics were well reported and showed a female to male ratio of 1.2:1, average age of 47-65 years, high levels of co-morbidities including hypertension (53-71%) and diabetes (16-20%), and only one study reporting ethnicity. When reported, approximately 4-30% had high levels of depression. The average wound size was 18.6-43.39 cm2; mean wound duration was 13.8-65.5 months, mean number of recurrences was four. No study reported on demographic factors plus medical history plus wound characteristics together. a comprehensive, holistic profile of the population with VLU is lacking. There is a critical need for more comprehensive profiling to enable the development of targeted interventions to improve outcomes.peer-reviewed2021-08-1

The profile of patients with venous leg ulcers: A systematic review and global perspective

A holistic profile that includes demographic, medical history and wound characteristics of individuals with venous leg ulceration is lacking. Lack of such a profile negatively impacts the ability to develop interventions to improve patient outcomes. To describe the profile of the patient population with venous leg ulceration from published observational (non-interventional) studies and to identify gaps in the knowledge base for future research in this area. A systematic review of observational studies that included more than 50 patients, from any world region, of any age and in any care setting. twenty studies, involving 3395 patients, from all world regions met our criteria. Demographic characteristics were well reported and showed a female to male ratio of 1.2:1, average age of 47-65 years, high levels of co-morbidities including hypertension (53-71%) and diabetes (16-20%), and only one study reporting ethnicity. When reported, approximately 4-30% had high levels of depression. The average wound size was 18.6-43.39 cm2; mean wound duration was 13.8-65.5 months, mean number of recurrences was four. No study reported on demographic factors plus medical history plus wound characteristics together. a comprehensive, holistic profile of the population with VLU is lacking. There is a critical need for more comprehensive profiling to enable the development of targeted interventions to improve outcomes.2021-08-1

Mapping the human genetic architecture of COVID-19

The genetic make-up of an individual contributes to the susceptibility and response to viral infection. Although environmental, clinical and social factors have a role in the chance of exposure to SARS-CoV-2 and the severity of COVID-191,2, host genetics may also be important. Identifying host-specific genetic factors may reveal biological mechanisms of therapeutic relevance and clarify causal relationships of modifiable environmental risk factors for SARS-CoV-2 infection and outcomes. We formed a global network of researchers to investigate the role of human genetics in SARS-CoV-2 infection and COVID-19 severity. Here we describe the results of three genome-wide association meta-analyses that consist of up to 49,562 patients with COVID-19 from 46 studies across 19 countries. We report 13 genome-wide significant loci that are associated with SARS-CoV-2 infection or severe manifestations of COVID-19. Several of these loci correspond to previously documented associations to lung or autoimmune and inflammatory diseases3–7. They also represent potentially actionable mechanisms in response to infection. Mendelian randomization analyses support a causal role for smoking and body-mass index for severe COVID-19 although not for type II diabetes. The identification of novel host genetic factors associated with COVID-19 was made possible by the community of human genetics researchers coming together to prioritize the sharing of data, results, resources and analytical frameworks. This working model of international collaboration underscores what is possible for future genetic discoveries in emerging pandemics, or indeed for any complex human disease