Summary
Background
Striking parallels are observed when comparing the literature on the 5-HTTLPR of the serotonin transporter gene (SLC6A4) to the testosterone (T) literature on measures of stress reactivity and neural activity. Short (S) allele carriers and individuals higher in testosterone levels show exaggerated stress responses, amygdala hyperactivity, and reduction of amygdala-prefrontal cortex coupling when exposed to threat.
Methods
Three studies tested the hypothesis that higher T, S carriers would show increased cortisol responses to threat.
Results
Supporting the hypothesis, a T × 5-HTTLPR interaction was obtained across all studies. Threats to status via social exclusion (Study 1), cognitive/perceptual failure (Study 2), and physical competence (Study 3) all produced elevated cortisol levels in S carriers with higher T levels. An unexpected result was that 5-HTTLPR long (L) allele homozygotes with higher T showed lower cortisol levels in response to threat--a pattern of response that closely parallels that reported for psychopathic individuals. Finally, combining effect sizes across studies showed that the likelihood that these effects were due to Type 1 errors was quite low.
Conclusions
What emerges from these studies is a novel yet reliable, and synergistic relationship between 5-HTTLPR genotype and testosterone on stress reactivity, possibly conferring vulnerability for multiple neuropsychiatric disorders.
Conflicting findings have emerged regarding the presence of attentional biases (ABs) in health anxiety, probably due to methodological limitations in the stimuli used in cognitive tasks and the assessment of health anxiety-relevant factors. The current study sought to examine ABs toward health-related threats using idiographically chosen health-threat words in a non-clinical sample. A modified dot-probe task using idiographically selected health-threat words was administered to an undergraduate sample. Self-report measures were administered to assess somatic, cognitive, and behavioral aspects of health anxiety, in addition to assessing negative affect, anxiety sensitivity, and experience of actual medical conditions. Results showed that behavioral and somatic aspects of health anxiety were significantly associated with AB toward personally relevant threat words, even after controlling for negative affect, anxiety sensitivity, and experience of actual medical conditions. Additional analyses revealed that these biases reflected difficulty disengaging attention from threat rather than a facilitated detection of threat. In contrast, illness-related cognitions were found to be unrelated to ABs. These findings suggest an association between threat-related ABs and excessive health-care seeking efforts.
Health-related mobile apps have the potential to allow patients and providers to proactively and responsibly manage pain together. However, there is a gap between the science of pain and current mobile apps. To develop a prototype science-based pain assessment mobile app (PainSmart) for Android smartphones, pain assessment tasks were extracted from a clinical guideline. These tasks were then converted to activity diagrams and became the logic of PainSmart. Five participants diagnosed with breast cancer evaluated usability of PainSmart with the System Usability Scale. Patient experience was recorded using Camtasia Studio Version 9 software. The five participants were able to explore the pain app after only 20 minutes of training. Using the System Usability Scale with comments, participant mean usability score was 77.5; above 68 is considered an above average system. A prototype of a pain assessment mobile app for cancer patients demonstrated high usability and will be refined based on participant feedback.
Acrolein (Acr) is a ubiquitous environmental pollutant as well as an endogenous compound. Acrolein-derived 1,N(2)-propanodeoxyguanosines (Acr-dG) are exocyclic DNA adducts formed following exposure to cigarette smoke or from lipid peroxidation. Acr-dG is mutagenic and potentially carcinogenic and may represent a useful biomarker for the early detection of cancers related to smoking or other oxidative conditions, such as chronic inflammation. In this study, we have developed a high-throughput, automated method using a HistoRx PM-2000 imaging system combined with MetaMorph software for quantifying Acr-dG adducts in human oral cells by immunohistochemical detection using a monoclonal antibody recently developed by our laboratory. This method was validated in a cell culture system using BEAS-2B human bronchial epithelial cells treated with known concentrations of Acr. The results were further verified by quantitative analysis of Acr-dG in DNA of BEAS-2B cells using a liquid chromatography/tandem mass spectrometry/multiple-reaction monitoring method. The automated method is a quicker, more accurate method than manual evaluation of counting cells expressing Acr-dG and quantifying fluorescence intensity. It may be applied to other antibodies that are used for immunohistochemical detection in tissues as well as cell lines, primary cultures, and other cell types.
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