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The aim of this study was to quantify the distribution of aligned and non-aligned collagen in cross-sections of the superficial digital flexor tendon (SDFT) and deep digital flexor tendon (DDFT) in different levels of the distal forelimb of equines diagnosed with NS (Navicular Syndrome). Sixty equine forelimbs were collected. Was compared two groups (NA, Not affected vs. NS-group) by t-Student. Diagnosis of NS was based on clinical and lameness examination, diagnostic analgesia and radiological findings. The proportion of aligned and non-aligned collagens at 2 levels for the SDFT and 3 levels for the DDFT were measured by histochemical stains. The amount of aligned and non-aligned collagen in tendons were calculated using Colour-Based Segmentation function. Regarding collagen, there were significant differences in the amount of aligned collagen (NA 21.2 ± 1.31; NS-group 12.2 ± 4.67; p = 0.0026) and non-aligned collagen (NA 21.8 ± 2.22; NS 25.1 ± 1.73; p = 0.0241) at the DDFT insertion in the distal phalanx. We concluded that the flexor tendons of the forelimb in equines with NS have different proportions of collagen than those that do not present the diagnosis, indicated by histologically visible increased proportions of non-aligned collagen and decreased of aligned collagen in the extracellular matrix.

The COVID-19 pandemic has wreaked havoc on lives around the globe. In addition to the primary threat of infection, widespread secondary stressors associated with the pandemic have included social isolation, financial insecurity, resource scarcity, and occupational difficulties.

The current study examined the impact of these disruptions on psychological distress during the initial adjustment phase to the pandemic in North America.

A sample of 2463 residents of the US and Canada completed both baseline and follow-up surveys across several weeks between March and May 2020.

Those participants perceiving stress related to higher levels of personal threat to health and to the well-being of family members at baseline reported higher levels of depressive symptoms at follow-up, even after controlling for baseline depressive symptoms. In addition, pandemic-related secondary stressors (social isolation, financial insecurity, occupational difficulty, and resource scarcity) were all independently associated with depressive symptoms at follow-up, controlling for both baseline depression and perceived health threats. The results were robust and held up after controlling for demographic factors. Women, young adults, and those who reported lower income were all at higher risk for subsequent depressive symptoms.

Findings from the present study can help to identify key groups at risk for mental health problems during the pandemic, and indicate actionable areas for targeted intervention.

Findings from the present study can help to identify key groups at risk for mental health problems during the pandemic, and indicate actionable areas for targeted intervention.

Research in social genetics indicates a person’s genome may influence outcomes of those in close relationships. Implications for cognitive function remain unexplored. The current study examined such “metagenomic” patterns among older U.S. couples.

Data were from married or cohabiting couples in the 2006-2016 waves of the Health and Retirement Study, nationally representative of U.S. adults over 50. Measures included cognitive function as well as separate polygenic scores for cognition and for educational attainment. Analysis was through parallel process latent growth models.

Consistent with a recent “genetic externalities” conception, one partner’s polygenic score for educational attainment was linked to the other’s baseline levels of cognitive function. Contrary to relational moderation speculations, neither a partner’s genetic scores nor educational attainment altered individual-level genetic influences.

Findings add to the growing evidence that transpersonal genetic influences in one’s proximal context have substantively important implications. Research is needed on the role of non-partnership ties in channeling such effects. Implications for life course theory are discussed.

Findings add to the growing evidence that transpersonal genetic influences in one’s proximal context have substantively important implications. Research is needed on the role of non-partnership ties in channeling such effects. Implications for life course theory are discussed.Health Technology Assessment (HTA) uses explicit methods to determine the value of a health technology. Ruxolitinib This typically results in several claims regarding the effects that are expected to follow from the use of a health technology in a particular context. These claims seem to capture conclusions based solely on facts, but they often combine empirical information with normative presuppositions. Claims that have this character reflect (implicit) value judgments and have been labelled mixed claims. Not recognizing these normative components of such claims risks value inattention and value imposition, presenting results as self-evident and not in need of any moral justification. As proposed by Anna Alexandrova, to avoid these risks of value inattention and imposition we need rules to deal with mixed claims. According to her, when producing and evaluating mixed claims we need to unearth the invoked value presuppositions and check whether these presuppositions are invariant to disagreements. By applying these rules, the robustness of mixed claims can be checked it can be evaluated whether their truth value is independent from the way in which their components, involving normative presuppositions, are conceptualized. This paper aims to illustrate the role of mixed claims in HTA, and expand upon the work by Alexandrova, by analyzing claims and recommendations presented in an HTA report on the introduction of Non-Invasive Prenatal Testing (NIPT) in The Netherlands. Our results show that the report contains mixed claims, and that a normative analysis of these claims can help to clarify the normativity of HTA and evaluate the robustness of claims on alleged effects of a health technology.