Prospective associations between home practice and depressive symptoms in mindfulness-based cognitive therapy for recurrent depression: a 15-months follow-up study

Stress and Psychopatholog

Interplay between self-compassion and affect during Mindfulness-Based Compassionate Living for recurrent depression: an Autoregressive Latent Trajectory analysis

Background: The current study aimed to investigate the possible interplay between self-compassion and affect during Mindfulness-Based Compassionate Living (MBCL) in recurrently depressed individuals.Methods: Data was used from a subsample of a parallel-group randomized controlled trial investigating the efficacy of MBCL in recurrently depressed adults (n = 104). Self-reports of self-compassion and positive/negative affect were obtained at the start of each of the eight MBCL sessions.Results: Bivariate Autoregressive Latent Trajectory (ALT) modeling showed that, when looking at the interplay between self-compassion and positive/negative affect on a session-to-session basis, no significant reciprocal cross-lagged effects between self-compassion and positive affect were found. Although there were no cross-lagged effects from negative affect to self-compassion, higher levels of self-compassion at each session did predict lower levels of negative affect at the subsequent session (b(SC(t-1),NA(t)) = -0.182, s.e. = 0.076, p =.017).Conclusions: The current study shows that increases in self-compassion are followed by decreases in negative affect in MBCL for depression.Stress-related psychiatric disorders across the life spa

Factors associated with relapse and recurrence of major depressive disorder in patients starting mindfulness-based cognitive therapy

Background Mindfulness-based cognitive therapy (MBCT) is effective for relapse prevention in major depressive disorder (MDD). It reduces cognitive reactivity (CR) and rumination, and enhances self-compassion and mindfulness. Although rumination and mindfulness after MBCT are associated with relapse, the association of CR, rumination, self-compassion, and mindfulness with relapse before initiation of MBCT has never been investigated. Methods Data were drawn from two randomized controlled trials, including a total of 282 remitted MDD participants (>= 3 depressive episodes) who had been using maintenance antidepressant medication (mADM) for at least 6 months before baseline. All participants were offered MBCT while either their mADM was maintained or discontinued after MBCT. CR, rumination, self-compassion, and mindfulness were assessed at baseline by self-rated questionnaires and were used in Cox proportional hazards regression models to investigate their association with relapse. Results CR and mindfulness were associated with relapse, independent of residual symptoms, previous depressive episodes, and mADM-use. Higher CR and lower mindfulness increased the risk of relapse. Self-compassion was not associated with relapse. For rumination, a significant interaction with mADM-use was found. Rumination was associated with relapse in patients who discontinued their mADM, while this effect was absent if patients continued mADM. Conclusions These results show that CR, rumination, and mindfulness are associated with relapse in remitted MDD-patients before initiation of MBCT, independent of residual symptoms and previous depressive episodes. This information could improve decisions in treatment planning in remitted individuals with a history of depression.Stress-related psychiatric disorders across the life spa

USP15 deubiquitinase safeguards hematopoiesis and genome integrity in hematopoietic stem cells and leukemia cells

Altering ubiquitination by disruption of individual deubiquitinating enzymes (DUBs) has proven to affect hematopoietic stem cell (HSC) maintenance. However, comprehensive knowledge of DUB function during hematopoiesis in vivo is lacking. To accomplish this goal, we systematically inactivated DUBs in mouse hematopoietic progenitors using in vivo small hairpin RNAs (shRNAs) screens. We found that multiple DUBs may be individually required for hematopoiesis and that the ubiquitin-specific protease 15 (USP15) is particularly important for the maintenance of murine hematopoietic stem and progenitor cells in vitro and in vivo. Consistently, Usp15 knockout mice exhibited a reduced HSC pool. The defect was intrinsic to HSCs, as demonstrated by competitive repopulation assays. Importantly, USP15 is highly expressed in normal human hematopoietic cells and leukemias, and USP15 depletion in murine early progenitors and myeloid leukemia cells impaired in vitro expansion and increased genotoxic stress. Our study underscores the importance of DUBs in preserving normal hematopoiesis and uncovers USP15 as a critical DUB in safeguarding genome integrity in HSC and in leukemia cells

Autoantibody subclass predominance is not driven by aberrant class switching or impaired B cell development

A subset of autoimmune diseases is characterized by predominant pathogenic IgG4 autoantibodies (IgG4-AID). Why IgG4 predominates in these disorders is unknown. We hypothesized that dysregulated B cell maturation or aberrant class switching causes overrepresentation of IgG4+ B cells and plasma cells. Therefore, we compared the B cell compartment of patients from four different IgG4-AID with two IgG1-3-AID and healthy donors, using flow cytometry. Relative subset abundance at all maturation stages was normal, except for a, possibly treatment-related, reduction in immature and naïve CD5+ cells. IgG4+ B cell and plasma cell numbers were normal in IgG4-AID patients, however they had a (sub)class-independent 8-fold increase in circulating CD20-CD138+ cells. No autoreactivity was found in this subset. These results argue against aberrant B cell development and rather suggest the autoantibody subclass predominance to be antigen-driven. The similarities between IgG4-AID suggest that, despite displaying variable clinical phenotypes, they share a similar underlying immune profile.Neurological Motor Disorder

Towards a standardized framework for AI-assisted, image-based monitoring of nocturnal insects

Automated sensors have potential to standardize and expand the monitoring of insects across the globe. As one of the most scalable and fastest developing sensor technologies, we describe a framework for automated, image-based monitoring of nocturnal insects—from sensor development and field deployment to workflows for data processing and publishing. Sensors comprise a light to attract insects, a camera for collecting images and a computer for scheduling, data storage and processing. Metadata is important to describe sampling schedules that balance the capture of relevant ecological information against power and data storage limitations. Large data volumes of images from automated systems necessitate scalable and effective data processing. We describe computer vision approaches for the detection, tracking and classification of insects, including models built from existing aggregations of labelled insect images. Data from automated camera systems necessitate approaches that account for inherent biases. We advocate models that explicitly correct for bias in species occurrence or abundance estimates resulting from the imperfect detection of species or individuals present during sampling occasions. We propose ten priorities towards a step-change in automated monitoring of nocturnal insects, a vital task in the face of rapid biodiversity loss from global threats

Mindfulness-based cognitive therapy as an alternative to maintenance antidepressant medication to prevent relapse and recurrence in depression

Contains fulltext : 152482.pdf (publisher's version ) (Closed access

Preventive cognitive therapy could be a viable and effective addition to antidepressant medication in preventing relapse or recurrence in major depressive disorder

Contains fulltext : 203379.pdf (publisher's version ) (Closed access

Reversible, High Molecular Weight Palladium and Platinum Coordination Polymers Based on Phosphorus Ligands

A general strategy for the preparation and characterization of high molecular weight coordination polymers based on bifunctional phosphorus ligands and palladium or platinum dichloride is described. Metal-to-ligand stoichiometry is of key importance for the formation of linear coordination polymers with high degrees of polymerization and was studied in detail. Heating of precursor complexes in the melt led to the highest degrees of polymerization. Peak molecular weights of 71 000 g/mol were reached, corresponding to a degree of polymerization of 100 units. The coordination polymers based on palladium dichloride were demonstrated to be linear by performing a stopper experiment. Complexation with platinum resulted in the formation of a network polymer due to platinum's ability to coordinate three phosphorus atoms. The palladium coordination polymers form reversibly and are in equilibrium with rings. The concentration dependence of the ring−chain equilibria was studied for the palladium complexes with 31P NMR and size exclusion chromatography, and critical concentrations of 70−180 mM were determined, below which no polymers are present