Childhood maltreatment and suicide attempts in major depression and bipolar disorders in South Korea: A prospective nationwide cohort study.

BACKGROUND: Childhood maltreatment (CM) is prevalent among patients with mood disorders and considered an important risk factor for suicide in the general population. Despite mood disorders being implicated in up to 60 % of completed suicides, the predictive role of CM on suicide attempt (SA) among early mood disorder patients remains poorly understood. METHODS: We enrolled 480 participants diagnosed with early-onset major depressive disorder (MDD), bipolar I disorder (BD I), and bipolar II disorder (BD II). Over an average of 60 weeks, participants underwent follow-up assessments at 12-week intervals. Using multivariate logistic regression, we examined the association between CM and SA history at baseline. Further, the Cox proportional hazard model assessed the predictive role of childhood maltreatment in SA during follow-up. RESULTS: At baseline, 38 % of the total participants reported SA history, with a follow-up prevalence of 10 %. Childhood maltreatment was significantly associated with past SAs and was a robust predictor of future SA, adjusting for relevant clinical risk factors. Emotional abuse and sexual abuse related to SA history, and physical abuse increased future SA risk. LIMITATIONS: Potential biases in reporting SA and childhood maltreatment, along with unexplored factors such as additional environmental and familial risks, may affect the study's findings. CONCLUSIONS: Childhood maltreatment emerged as a robust predictor of SA among early-onset mood disorder patients. Systematic evaluation of CM early in the clinical process may be crucial for effective risk management. Additionally, our findings highlight the importance of implementing proactive interventions for CM to prevent the onset of adverse psychological trajectories.

Predicting Silicate Glass Geochemistry Using Raman Spectroscopy and Supervised Machine Learning: Partial Least Square Applications to Amorphous Raman Spectra.

Here, Raman spectroscopy is used to develop a univariate partial least squares (PLS) calibration capable of quantifying geochemistry in synthetic and natural silicate glass samples. The calibration yields eight oxide-specific models that allow predictions of silicon dioxide (SiO2), sodium oxide (Na2O), potassium oxide (K2O), calcium oxide (CaO), titanium dioxide (TiO2), aluminum oxide (Al2O3), ferrous oxide (FeOT), and magnesium oxide (MgO) (wt%) in glasses spanning a wide range of compositions, while also providing correlation-coefficient matrices that highlight the importance of specific Raman channels in the regression of a particular oxide. The PLS suite is trained on 48 of the 69 total glasses, and tested against 21 validation samples (i.e., held out of training). Trends in root mean square error of calibration (RMSEC), root mean square error of cross-validation (RMSECV), and root mean square error of prediction (RMSEP) model accuracy metrics are investigated to uncover the efficacy of utilizing multivariate analysis for such Raman data and are contextualized against recently produced strategies. The technique yields an average root mean of calibration (∼2.4 wt%), cross-validation (∼ 2.9 wt%), prediction (∼ 2.6 wt%), and normalized variance (∼ 28%). Raman band positional shifts are also mapped against underlying chemical variations; with major influences arising primarily as a function of overall oxidation state and silica concentration: via ferric cation (Fe3+)/ferrous cation (Fe2+) ratios and SiO2 (wt%). The algorithm is further validated preliminarily against a separate external set of 11 natural basaltic glasses to unravel the limitations of the synthetic models on natural samples, and to determine the suitability of "universal" Raman-model applications in scenarios where prior chemical contextualization of the target sample is possible. This study represents the first time Raman spectra of amorphous silicates have been paired with PLS, offering a foundation for future improvements utilizing these systems.

Innovations in Practice: Feasibility and provision of dialectical behavior therapy skills training for adolescents and their families.

BACKGROUND: Suicide is a leading cause of death for adolescents in the United States. Widespread implementation of evidence-based practices for this population remains challenging due to resource shortages and system barriers. Dialectical Behavior Therapy for Adolescents (DBT-A) has robust research support, with positive clinical outcomes when implemented with fidelity. At the same time, implementation requires individual therapy with trained clinicians, a resource which may not be available at the level required in some communities. The current study uses theoretical frameworks from adult implementations of Dialectical Behavior Therapy (DBT) where treatment was provided in a DBT Skills Training format without weekly individual therapy to examine skills training for adolescent clients with suicidal behaviors and is the first published study regarding feasibility of skills training for this population. METHODS: Adolescents and their families were offered DBT Skills Training while on the waitlist for DBT-A. Of the 125 families referred, 48 chose DBT Skills Training and 77 opted to wait for DBT-A, creating a natural quasi-experimental design useful in exploring differences between DBT-Skills Training and DBT-A. RESULTS: There were no significant differences between the two groups at baseline. Rates of treatment completion were similar between the two groups. CONCLUSIONS: Results from the current study demonstrate similar rates of treatment drop-out and treatment completion between DBT Skills Training and DBT-A, suggesting DBT Skills Training without individual therapy for adolescents is feasible and warrants additional research.

Acceptability of Telehealth for Multidiagnostic Suicidal Patients in a Real-World Dialectical Behavior Therapy Clinic During the COVID-19 Pandemic.

Objective: This study aimed to evaluate the acceptability of Dialectical Behavior Therapy (DBT) delivered through telehealth to complex, suicidal patients during the COVID-19 pandemic. Methods: We surveyed 163 adult participants enrolled in outpatient services at a private, free-standing DBT clinic certified by the DBT-Linehan Board of Certification for its fidelity to the treatment. Treatment satisfaction was assessed, as well as ease of telehealth over time, differences in satisfaction between patients who had previously experienced face-to-face treatment and those who had only experienced telehealth, patients' beliefs regarding the impact of telehealth on their progress, and preference for face-to-face versus telehealth services. Additionally, participants' reasons for liking and disliking telehealth were reported. Results: The average overall satisfaction rating was 82.26 (±18.71) on a 100-point scale. Factors identified as being relevant to satisfaction included increased access to care, saving time and money, and increased comfort participating in therapy from home. Factors identified as relevant to dissatisfaction included feeling less connected to therapists and other patients. The majority of participants reported that telehealth positively impacted or did not impact treatment progress. Satisfaction was significantly related to participants' perception of telehealth's impact on progress in treatment. Demographic variables were also included in the analyses, but were unrelated to satisfaction. Conclusions: Findings indicate that, from the point of view of consumer satisfaction, telehealth appears satisfactory for delivery of DBT and may play an increased role in behavioral health care postpandemic.

Vaxar: A Web-Based Database of Laboratory Animal Responses to Vaccinations and Its Application in the Meta-Analysis of Different Animal Responses to Tuberculosis Vaccinations.

Animal models are indispensable for vaccine research and development. However, choosing which species to use and designing a vaccine study that is optimized for that species is often challenging. Vaxar (http://www.violinet.org/vaxar/) is a web-based database and analysis system that stores manually curated data regarding vaccine-induced responses in animals. To date, Vaxar encompasses models from 35 animal species including rodents, rabbits, ferrets, primates, and birds. These 35 species have been used to study more than 1300 experimentally tested vaccines for 164 pathogens and diseases significant to humans and domestic animals. The responses to vaccines by animals in more than 1500 experimental studies are recorded in Vaxar; these data can be used for systematic meta-analysis of various animal responses to a particular vaccine. For example, several variables, including animal strain, animal age, and the dose or route of either vaccination or challenge, might affect host response outcomes. Vaxar can also be used to identify variables that affect responses to different vaccines in a specific animal model. All data stored in Vaxar are publically available for web-based queries and analyses. Overall Vaxar provides a unique systematic approach for understanding vaccine-induced host immunity.

Differential coloring reveals that plastids do not form networks for exchanging macromolecules.

Stroma-filled tubules named stromules are sporadic extensions of plastids. Earlier, photobleaching was used to demonstrate fluorescent protein diffusion between already interconnected plastids and formed the basis for suggesting that all plastids are able to form networks for exchanging macromolecules. However, a critical appraisal of literature shows that this conjecture is not supported by unequivocal experimental evidence. Here, using photoconvertible mEosFP, we created color differences between similar organelles that enabled us to distinguish clearly between organelle fusion and nonfusion events. Individual plastids, despite conveying a strong impression of interactivity and fusion, maintained well-defined boundaries and did not exchange fluorescent proteins. Moreover, the high pleomorphy of etioplasts from dark-grown seedlings, leucoplasts from roots, and assorted plastids in the accumulation and replication of chloroplasts5 (arc5), arc6, and phosphoglucomutase1 mutants of Arabidopsis thaliana suggested that a single plastid unit might be easily mistaken for interconnected plastids. Our observations provide succinct evidence to refute the long-standing dogma of interplastid connectivity. The ability to create and maintain a large number of unique biochemical factories in the form of singular plastids might be a key feature underlying the versatility of green plants as it provides increased internal diversity for them to combat a wide range of environmental fluctuations and stresses.

mEosFP-based green-to-red photoconvertible subcellular probes for plants.

Photoconvertible fluorescent proteins (FPs) are recent additions to the biologists' toolbox for understanding the living cell. Like green fluorescent protein (GFP), monomeric EosFP is bright green in color but is efficiently photoconverted into a red fluorescent form using a mild violet-blue excitation. Here, we report mEosFP-based probes that localize to the cytosol, plasma membrane invaginations, endosomes, prevacuolar vesicles, vacuoles, the endoplasmic reticulum, Golgi bodies, mitochondria, peroxisomes, and the two major cytoskeletal elements, filamentous actin and cortical microtubules. The mEosFP fusion proteins are smaller than GFP/red fluorescent protein-based probes and, as demonstrated here, provide several significant advantages for imaging of living plant cells. These include an ability to differentially color label a single cell or a group of cells in a developing organ, selectively highlight a region of a cell or a subpopulation of organelles and vesicles within a cell for tracking them, and understanding spatiotemporal aspects of interactions between similar as well as different organelles. In addition, mEosFP probes introduce a milder alternative to fluorescence recovery after photobleaching, whereby instead of photobleaching, photoconversion followed by recovery of green fluorescence can be used for estimating subcellular dynamics. Most importantly, the two fluorescent forms of mEosFP furnish bright internal controls during imaging experiments and are fully compatible with cyan fluorescent protein, GFP, yellow fluorescent protein, and red fluorescent protein fluorochromes for use in simultaneous, multicolor labeling schemes. Photoconvertible mEosFP-based subcellular probes promise to usher in a much higher degree of precision to live imaging of plant cells than has been possible so far using single-colored FPs.