Trauma Exposure Among Women in the Pacific Rim

Purpose Healthcare professionals who provide services in the immediate or long‐term aftermath of traumatic events need to understand the nature and frequency of traumatic events in the lives of women. However, research on trauma exposure in women has only recently begun to assess events other than intimate partner and sexual violence and has not supported direct statistical comparison of cross‐national and cross‐cultural data. The purpose of this descriptive, correlational study was to describe and compare trauma exposure prevalence and type in community‐based samples of women in the United States, Colombia, and Hong Kong. Design Women were recruited through posted notices at community health sites, snowball sampling, and online advertisements (N = 576). The Life Stressor Checklist‐Revised (total score range 0 to 30) was used to determine the type and prevalence of trauma exposure. Data were collected by native language members of the research team. Methods Descriptive statistics were used to summarize demographic characteristics and trauma exposure for the total sample and each community‐based sample (location). Between‐location differences were tested using Fisher\u27s exact tests for categorical measures and general linear models with pairwise a posteriori least squares t‐test for continuous measures. Responses to open‐ended questions were translated and categorized. Findings Over 99% of women in the total sample reported at least one traumatic life event. The mean number of traumatic life events per participant was 7, ranging from 0 to 24. Although there was consistency in the most commonly reported trauma exposures across locations, the rates of specific events often differed. Conclusions Historical, political, geographic, and cultural factors may explain differences in trauma exposure among women in the four locations studied. Clinical Relevance This study offers relevant knowledge for providers in diverse locations who provide services to women who have experienced traumatic events and provides evidence for the need for future research to further enhance knowledge of trauma exposure among women, and on the effects of trauma in women\u27s lives

A combined approach for comparative exoproteome analysis of Corynebacterium pseudotuberculosis

Background: Bacterial exported proteins represent key components of the host-pathogen interplay. Hence, we sought to implement a combined approach for characterizing the entire exoproteome of the pathogenic bacterium Corynebacterium pseudotuberculosis, the etiological agent of caseous lymphadenitis (CLA) in sheep and goats. Results: An optimized protocol of three-phase partitioning (TPP) was used to obtain the C. pseudotuberculosis exoproteins, and a newly introduced method of data-independent MS acquisition (LC-MSE) was employed for protein identification and label-free quantification. Additionally, the recently developed tool SurfG+ was used for in silico prediction of sub-cellular localization of the identified proteins. In total, 93 different extracellular proteins of C. pseudotuberculosis were identified with high confidence by this strategy; 44 proteins were commonly identified in two different strains, isolated from distinct hosts, then composing a core C. pseudotuberculosis exoproteome. Analysis with the SurfG+ tool showed that more than 75% (70/93) of the identified proteins could be predicted as containing signals for active exportation. Moreover, evidence could be found for probable non-classical export of most of the remaining proteins. Conclusions: Comparative analyses of the exoproteomes of two C. pseudotuberculosis strains, in addition to comparison with other experimentally determined corynebacterial exoproteomes, were helpful to gain novel insights into the contribution of the exported proteins in the virulence of this bacterium. The results presented here compose the most comprehensive coverage of the exoproteome of a corynebacterial species so far

Likely locations of sea turtle stranding mortality using experimentally-calibrated, time and space-specific drift models

This is an accepted manuscript of the published article. Sea turtle stranding events provide an opportunity to study drivers of mortality, but causes of strandings are poorly understood. A general turtle carcass oceanographic drift model was developed to estimate likely mortality locations from coastal sea turtle stranding records. Key model advancements include realistic direct wind forcing on carcasses, temperature driven carcass decomposition and the development of mortality location predictions for individual strandings. We applied this model to 2009-2014 stranding events within the Chesapeake Bay, Virginia. Predicted origin of vessel strike strandings were compared to commercial vessel data, and potential hazardous turtle-vessel interactions were identified in the southeastern Bay and James River. Commercial fishing activity of gear types with known sea turtle interactions were compared to predicted mortality locations for stranded turtles with suggested fisheries-induced mortality. Probable mortality locations for these strandings varied seasonally, with two distinct areas in the southwest and southeast portions of the lower Bay. Spatial overlap was noted between potential mortality locations and gillnet, seine, pot, and pound net fisheries, providing important information for focusing future research on mitigating conflict between sea turtles and human activities. Our ability to quantitatively assess spatial and temporal overlap between sea turtle mortality and human uses of the habitat were hindered by the low resolution of human use datasets, especially those for recreational vessel and commercial fishing gear distributions. This study highlights the importance of addressing these data gaps and provides a meaningful conservation tool that can be applied to stranding data of sea turtles and other marine megafauna worldwide

Psychobiological, Clinical, and Sociocultural Factors That Influence Black Women Seeking Treatment for Infertility: A Mixed-methods Study

OBJECTIVE: To provide a comprehensive and multidimensional description and conceptualization of the experiences of Black women seeking treatment for infertility. DESIGN: Convergent parallel mixed-methods study combining retrospective chart review data and semistructured interview data. SETTING: Private infertility clinic. PATIENT(S): African American/Black women between 18 and 44 years of age who presented for an initial infertility evaluation with a male partner between January 2015 and September 2019 at an infertility clinic in the metropolitan Washington D.C. area. INTERVENTION(S): None MAIN OUTCOME(S): Treatment seeking. MEASURE(S): Psychobiological, clinical, and sociocultural factors. RESULT(S): Along with the psychobiological, clinical, and sociocultural domains, we understood that Black women who sought treatment for infertility were older and overweight, had complex gynecological diagnoses, and experienced infertility for long periods of time. The delay in seeking treatment was possibly because of a low perceived risk of infertility, poor understanding of treatment options, inadequate referral patterns of primary care providers, and limited social support. Further, Black women experienced delays in seeking treatment because they attempted lifestyle-based self-interventions before considering medical interventions. Facilitators to care included psychological distress, complex gynecological medical history, and finding culturally competent providers. CONCLUSION(S): The study findings show that Black women in the United States are vulnerable to disparities in healthcare delivery, especially within reproductive endocrinology. Our findings highlight areas where Black women are experiencing missed opportunities for teaching, early identification, and early referrals for infertility-related concerns. Future studies should seek to reduce barriers to infertility treatment at the clinical and policy levels

Dysfunctional attitudes scale perfectionism: a predictor and partial mediator of acute treatment outcome among clinically depressed adolescents.

The effect of perfectionism on acute treatment outcomes was explored in a randomized controlled trial of 439 clinically depressed adolescents (12-17 years of age) enrolled in the Treatment for Adolescents with Depression Study (TADS) who received cognitive behavior therapy (CBT), fluoxetine, a combination of CBT and FLX, or pill placebo. Measures included the Children\u27s Depression Rating Scale-Revised, the Suicidal Ideation Questionnaire-Grades 7-9, and the perfectionism subscale from the Dysfunctional Attitudes Scale (DAS). Predictor results indicate that adolescents with higher versus lower DAS perfectionism scores at baseline, regardless of treatment, continued to demonstrate elevated depression scores across the acute treatment period. In the case of suicidality, DAS perfectionism impeded improvement. Treatment outcomes were partially mediated by the change in DAS perfectionism across the 12-week period

Indirect detection of superoxide in RAW 264.7 macrophage cells using microchip electrophoresis coupled to laser-induced fluorescence

The final publication is available at Springer via http://dx.doi.org/10.1007/s00216-015-8865-1Superoxide is a naturally produced reactive oxygen species (ROS) in the human body and is involved in many pathological and physiological signaling processes. However, if superoxide formation is left unregulated, overproduction can lead to oxidative damage to important biomolecules, such as DNA, lipids, and proteins. Superoxide can also lead to the formation of peroxynitrite, an extremely hazardous substance, through its reaction with endogenously produced nitric oxide. Despite its importance, quantitative information regarding superoxide production is difficult to obtain due to its high reactivity and low concentrations in vivo. MitoHE, a fluorescent probe that specifically reacts with superoxide, was used in conjunction with microchip electrophoresis (ME) and laser-induced fluorescence detection to investigate changes in superoxide production by RAW 264.7 macrophage cells following stimulation with phorbol 12-myristate 13-acetate (PMA). Stimulation was performed in the presence and absence of the superoxide dismutase (SOD) inhibitors, diethyldithiocarbamate (DDC) and 2-metoxyestradiol (2-ME). The addition of these inhibitors resulted in an increase in the amount of superoxide specific product (2-OH-MitoE+) from 0.08 ± 0.01 fmol (0.17 ± 0.03 mM) in native cells to 1.26 ± 0.06 fmol (2.5 ± 0.1 mM) after PMA treatment. This corresponds to an approximately 15-fold increase in intracellular concentration per cell. Furthermore, the addition of 3-morpholino-sydnonimine (SIN-1) to the cells during incubation resulted in 0.061 ± 0.006 fmol (0.12 ± 0.01 mM) of 2-OH-MitoE+ per cell on average. These results demonstrate that indirect superoxide detection coupled with the use of SOD inhibitors and a separation method is a viable method to discriminate the 2-OH-MitoE+ signal from possible interferences

Increasing biomass in Amazonian forest plots

A previous study by Phillips et al. of changes in the biomass of permanent sample plots in Amazonian forests was used to infer the presence of a regional carbon sink. However, these results generated a vigorous debate about sampling and methodological issues. Therefore we present a new analysis of biomass change in old-growth Amazonian forest plots using updated inventory data. We find that across 59 sites, the above-ground dry biomass in trees that are more than 10 cm in diameter (AGB) has increased since plot establishment by 1.22 ± 0.43 Mg per hectare per year (ha-1 yr-1), where 1 ha = 104 m2), or 0.98 ± 0.38 Mg ha-1 yr-1 if individual plot values are weighted by the number of hectare years of monitoring. This significant increase is neither confounded by spatial or temporal variation in wood specific gravity, nor dependent on the allometric equation used to estimate AGB. The conclusion is also robust to uncertainty about diameter measurements for problematic trees: for 34 plots in western Amazon forests a significant increase in AGB is found even with a conservative assumption of zero growth for all trees where diameter measurements were made using optical methods and/or growth rates needed to be estimated following fieldwork. Overall, our results suggest a slightly greater rate of net stand-level change than was reported by Phillips et al. Considering the spatial and temporal scale of sampling and associated studies showing increases in forest growth and stem turnover, the results presented here suggest that the total biomass of these plots has on average increased and that there has been a regional-scale carbon sink in old-growth Amazonian forests during the previous two decades

Patterns of patient-reported symptoms and association with sociodemographic and systemic sclerosis disease characteristics: a scleroderma Patient-centered Intervention Network (SPIN) Cohort cross-sectional study

Background Systemic sclerosis is a heterogenous disease in which little is known about patterns of patient-reported symptom clusters. We aimed to identify classes of individuals with similar anxiety, depression, fatigue, sleep disturbance, and pain symptoms and to evaluate associated sociodemographic and disease-related characteristics. Methods This multi-centre cross-sectional study used baseline data from Scleroderma Patient-centered Intervention Network Cohort participants enrolled from 2014 to 2020. Eligible participants completed the PROMIS-29 v2.0 measure. Latent profile analysis was used to identify homogeneous classes of participants based on patterns of anxiety, depression, fatigue, sleep disturbance, and pain scores. Sociodemographic and disease-related characteristics were compared across classes. Findings Among 2212 participants, we identified five classes, including four classes with “Low” (565 participants, 26%), “Normal” (651 participants, 29%), “High” (569 participants, 26%), or “Very High” (193 participants, 9%) symptom levels across all symptoms. Participants in a fifth class, “High Fatigue/Sleep/Pain and Low Anxiety/Depression” (234 participants, 11%) had similar levels of fatigue, sleep disturbance, and pain as in the “High” class but low anxiety and depression symptoms. There were significant and substantive trends in sociodemographic characteristics (age, education, race or ethnicity, marital or partner status) and increasing disease severity (diffuse disease, tendon friction rubs, joint contractures, gastrointestinal symptoms) across severity-based classes. Disease severity and sociodemographic characteristics of “High Fatigue/Sleep/Pain and Low Anxiety/Depression” class participants were similar to the “High” severity class. Interpretation Most people with systemic sclerosis can be classified by levels of patient-reported symptoms, which are consistent across symptoms and highly associated with sociodemographic and disease-related variables, except for one group which reports low mental health symptoms despite high levels of other symptoms and substantial disease burden. Studies are needed to better understand resilience in systemic sclerosis and to identify and facilitate implementation of cognitive and behavioural strategies to improve coping and overall quality of life