Stress and frailty in medieval Prussia: interpretations from skeletal remains at Bezławki

Health is routinely studied in living populations using quantifiable measurements such as allostatic load and frailty. In recent years, particularly since the introduction of the osteological paradox, there has been increased interest among bioarchaeologists in how these concepts can be applied to the study of health in past populations. Although health is not directly observable in skeletal remains, assessment of frailty can be useful for understanding the implications of long-term exposures to stress on well-being and mortality. This study builds upon past research in this area by incorporating commonly observed indicators of physiological stress, such as dental disease and osteoarthritis, into a cumulative index that can be used to assess frailty in archaeological populations. A sample of 37 individuals (males, n=15; females, n=16; indet., n=6) between the ages of approximately 14 and 65 years from the Late Medieval site of Bezławki in northeastern Poland, were examined for evidence of 13 biomarkers of physiological stress related to nutritional deficiencies, growth disruption, infection, and trauma. These categories were chosen based on their potential to affect the lifestyles of individuals in the past and present. Following examination, each individual was assigned a frailty score, which was then compared across groups within the population. While results indicate no statistically significant variation in frailty between age and sex cohorts, biomarker prevalence reflects a population experiencing complex environmental change and social reform following a long period of colonization and conversion. Ongoing research will explore the relationship between frailty and lifestyle in Medieval Prussia, an area which currently has sparse historical records

Disability and Impairment of the Hand: Trauma Analysis of the Erie County Poorhouse Cemetery

Hands are one of the most frequently used parts of the body and, as such, are historically and intrinsically linked to daily functioning and the ability to work. Thus, the bioarchaeological analysis of hand bones can prove to be a useful resource in evaluating the lived experiences of past peoples. The current study analyzes antemortem hand trauma observed in individuals exhumed from the Erie County Poorhouse Cemetery (1851-1913), located in Buffalo, New York. In doing so we investigate patterns of trauma distribution and subsequent severity of impairment of the hand. These impairments are then used as a window into the occupational realities of the institutionalized poor in an Industrial Revolution era urban setting. Of the 271 individuals with observable hand bones, 42 (15.5%) displayed trauma in the form of a bone fracture, avulsion fracture, or joint dislocation. There were 55 females and 109 males, of which 5 (9%) and 24 (22%), respectively, displayed trauma. This was a statistically significant difference in trauma occurrences (X2 (1) = 4.197, p = .040). These findings likely reflect occupational differences between men and women. When comparing hand trauma by side (e.g., left and right hand), a significant difference was found with more trauma on the right (t = -1.972; p = 0.049). Impairment scoring of the injuries revealed that individuals suffered mild impairment and subsequent disability of their hand(s). These impairments may be indicative of the hazardous, often unregulated workplace conditions of the time as well as potential instances of interpersonal violence.https://digitalscholarship.unlv.edu/durep_posters/1064/thumbnail.jp

Perception of affect in biological motion cues in anorexia nervosa

Nonverbal motion cues (a clenched fist) convey essential information about the intentions of the actor. Individuals with anorexia nervosa (AN) have demonstrated impairment in deciphering intention from facial affective cues but it is unknown whether such deficits extend to deciphering affect from body motion cues

The Moon Zoo citizen science project: preliminary results for the Apollo 17 landing site

Moon Zoo is a citizen science project that utilises internet crowd-sourcing techniques. Moon Zoo users are asked to review high spatial resolution images from the Lunar Reconnaissance Orbiter Camera (LROC), onboard NASA’s LRO spacecraft, and perform characterisation such as measuring impact crater sizes and identify morphological ‘features of interest’. The tasks are designed to address issues in lunar science and to aid future exploration of the Moon. We have tested various methodologies and parameters therein to interrogate and reduce the Moon Zoo crater location and size dataset against a validated expert survey. We chose the Apollo 17 region as a test area since it offers a broad range of cratered terrains, including secondary-rich areas, older maria, and uplands. The assessment involved parallel testing in three key areas: (1) filtering of data to remove problematic mark-ups; (2) clustering methods of multiple notations per crater; and (3) derivation of alternative crater degradation indices, based on the statistical variability of multiple notations and the smoothness of local image structures. We compared different combinations of methods and parameters and assessed correlations between resulting crater summaries and the expert census. We derived the optimal data reduction steps and settings of the existing Moon Zoo crater data to agree with the expert census. Further, the regolith depth and crater degradation states derived from the data are also found to be in broad agreement with other estimates for the Apollo 17 region. Our study supports the validity of this citizen science project but also recommends improvements in key elements of the data acquisition planning and production

SARS-CoV-2 susceptibility and COVID-19 disease severity are associated with genetic variants affecting gene expression in a variety of tissues

Variability in SARS-CoV-2 susceptibility and COVID-19 disease severity between individuals is partly due to genetic factors. Here, we identify 4 genomic loci with suggestive associations for SARS-CoV-2 susceptibility and 19 for COVID-19 disease severity. Four of these 23 loci likely have an ethnicity-specific component. Genome-wide association study (GWAS) signals in 11 loci colocalize with expression quantitative trait loci (eQTLs) associated with the expression of 20 genes in 62 tissues/cell types (range: 1:43 tissues/gene), including lung, brain, heart, muscle, and skin as well as the digestive system and immune system. We perform genetic fine mapping to compute 99% credible SNP sets, which identify 10 GWAS loci that have eight or fewer SNPs in the credible set, including three loci with one single likely causal SNP. Our study suggests that the diverse symptoms and disease severity of COVID-19 observed between individuals is associated with variants across the genome, affecting gene expression levels in a wide variety of tissue types

A first update on mapping the human genetic architecture of COVID-19

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ATF3-Induced Mammary Tumors Exhibit Molecular Features of Human Basal-Like Breast Cancer

Basal-like breast cancer (BLBC) is an aggressive and deadly subtype of human breast cancer that is highly metastatic, displays stem-cell like features, and has limited treatment options. Therefore, developing and characterizing preclinical mouse models with tumors that resemble BLBC is important for human therapeutic development. ATF3 is a potent oncogene that is aberrantly expressed in most human breast cancers. In the BK5.ATF3 mouse model, overexpression of ATF3 in the basal epithelial cells of the mammary gland produces tumors that are characterized by activation of the Wnt/β-catenin signaling pathway. Here, we used RNA-Seq and microRNA (miRNA) microarrays to better define the molecular features of BK5.ATF3-derived mammary tumors. These analyses showed that these tumors share many characteristics of human BLBC including reduced expression of Rb1, Esr1, and Pgr and increased expression of Erbb2, Egfr, and the genes encoding keratins 5, 6, and 17. An analysis of miRNA expression revealed reduced levels of Mir145 and Mir143, leading to the upregulation of their target genes including both the pluripotency factors Klf4 and Sox2 as well as the cancer stem-cell-related gene Kras. Finally, we show through knock-down experiments that ATF3 may directly modulate MIR145/143 expression. Taken together, our results indicate that the ATF3 mouse mammary tumor model could provide a powerful model to define the molecular mechanisms leading to BLBC, identify the factors that contribute to its aggressiveness, and, ultimately, discover specific genes and gene networks for therapeutic targeting

ATF3-Induced Mammary Tumors Exhibit Molecular Features of Human Basal-Like Breast Cancer

Basal-like breast cancer (BLBC) is an aggressive and deadly subtype of human breast cancer that is highly metastatic, displays stem-cell like features, and has limited treatment options. Therefore, developing and characterizing preclinical mouse models with tumors that resemble BLBC is important for human therapeutic development. ATF3 is a potent oncogene that is aberrantly expressed in most human breast cancers. In the BK5.ATF3 mouse model, overexpression of ATF3 in the basal epithelial cells of the mammary gland produces tumors that are characterized by activation of the Wnt/β-catenin signaling pathway. Here, we used RNA-Seq and microRNA (miRNA) microarrays to better define the molecular features of BK5.ATF3-derived mammary tumors. These analyses showed that these tumors share many characteristics of human BLBC including reduced expression of Rb1, Esr1, and Pgr and increased expression of Erbb2, Egfr, and the genes encoding keratins 5, 6, and 17. An analysis of miRNA expression revealed reduced levels of Mir145 and Mir143, leading to the upregulation of their target genes including both the pluripotency factors Klf4 and Sox2 as well as the cancer stem-cell-related gene Kras. Finally, we show through knock-down experiments that ATF3 may directly modulate MIR145/143 expression. Taken together, our results indicate that the ATF3 mouse mammary tumor model could provide a powerful model to define the molecular mechanisms leading to BLBC, identify the factors that contribute to its aggressiveness, and, ultimately, discover specific genes and gene networks for therapeutic targeting