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Immunomodulatory effects of psychotropic agents used to treat severe mental disorders (SMDs) have been suggested. We investigated associations between immune marker levels and antipsychotic- (AP), antidepressant- (AD), and mood stabilizing agents (MS) use in SMDs.
Methods
We included 1215 participants with SMDs (777 with schizophrenia spectrum disorders and 438 with bipolar disorders). Circulating levels of 45 immune markers were determined by enzyme-immunoassay or immunoturbidimetry and analyzed for associations with use, doses, and serum concentrations of AP, AD, and MS. Extensive adjustments for potential confounders were performed. Immune marker levels of 1008 healthy controls served as a reference.
Results
AP use was significantly associated with higher plasma levels of beta defensin 2 (BD-2) (β = 0.094, p = 0.8E-4), AD use with higher serum levels of CRP (β = 0.072, p = 0.8E-3), and MS use with higher plasma levels of soluble interleukin 2 receptor (sIL-2R) (β = 0.063, p = 0.9E-4). These findings were paralleled by positive associations with psychotropic agent dose and serum concentrations: AP dose was associated with BD-2 levels (β = 0.045, p = 2.3E-4), AD dose with CRP levels (β = 0.039, p = 0.001), MS dose with sIL-2R levels (β = 0.048, p = 0.001), and serum concentration of AD was nominally positively associated with CRP (β = 0.072, p = 0.002).
Conclusions
The findings suggest that AP and MS use affect pathways involved in immune homeostasis and inflammatory regulation in individuals with SMDs, while AD use augments low-grade systemic inflammation reflected by CRP.
The months following psychiatric hospitalization are associated with heightened suicide risk among adolescents. Better characterizing predictors of trajectories of suicidal ideation (SI) post-discharge is critical.
Method
We examined trajectories of SI over 18 months post-discharge and emotional processing variables (recognition, reactivity, and regulation) as predictors using a multi-method approach. Participants were 180 adolescents recruited from a pediatric psychiatric inpatient unit, assessed during hospitalization and 3, 6, 12, and 18-months post-discharge. At each time-point, participants reported on SI; at baseline, they completed measures of emotion dysregulation, reactivity, and a behavioral task measuring facial emotion recognition.
Results
A three-group model best fits the data (Chronic SI, Declining SI, and Subthreshold SI groups). The Chronic SI group, compared to the Declining SI group, had greater difficulty identifying children’s sad facial expressions. The Declining SI group compared to the Subthreshold SI group reported greater overall emotion dysregulation and difficulties engaging in goal-directed behavior. No other emotional processing variable was significantly associated with specific SI trajectories.
Conclusions
The findings suggest that difficulties in properly identifying peer emotions may be predictive of resolution of severe SI post-discharge. Furthermore, the results suggest that emotion regulation may be an important target for discharge planning.
This article was submitted to the ‘The Legacy of Giovanni Sartori’ symposium on IPSR/RISP – Italian Political Science Review. The goal of this note is to suggest an alternative approach to the of party family. The literature agrees that individual party families should be ideologically distinct and cohesive but maintains a broad understanding of ‘ideology’. This comes with conceptual and operational complications, including rarely explicit definitions of party family and frequently inconclusive empirical evidence. Instead, I suggest that the historically rooted ideological distinctiveness and uniqueness of party families should be conceived at the issue level. Accordingly, an alternative conceptualisation of party family is proposed: groups of parties whose patterns of issue salience ideologically reflect their historical origins. Importantly, this approach revolves around the identification of party families’ core issues, based on their cleavage/historical origins. Parties belonging to a party family will be the most consistent emphasizers of their core issues within their party system. This note provides a first discussion of how this alternative approach may provide party family scholars with greater clarity, both conceptually and in proposed empirical applications.
This article analyses the agony column ‘Voi e il cinema’, launched in November 1938 in Cine illustrato, one of the most popular film magazines of the time. ‘Voi e il cinema’ invited readers to share their acting aspirations, but also to send in photographs of themselves that might contain the defining feature of a diva: photogenicity. The magazine was flooded with images of ‘ordinary young Italian women’ that created an intermediate visual grammar. Focusing on both the photographs and the editors’ responses, the article reveals how shared consumption practices redefined the relationship between public and private space. It also highlights the distance of the readers’ self-representations from Fascist models and sheds light on the role of American star culture in creating the ‘modern’ subject. Although they were not politically opposed to Fascist models, the photographs reveal a strong desire for social change and the perception of such change, particularly in relation to traditional female roles.
The Columbia Suicide Severity Rating Scale (C-SSRS) is a predominant tool for screening and scoring suicidal ideation and behaviour to identify individuals at risk. No meta-analysis has examined its predictive significance.
Aims
To evaluate the C-SSRS assessment of suicidal ideation and suicidal behaviour as predictors of future fatal and non-fatal suicide attempts.
Method
A systematic search of Medline, PsycInfo, Embase, and Health and Psychosocial Instruments databases was conducted from January 2008 to February 2024. The Preferred Reporting Items for Systematic Reviews and Meta-Analyses (PRISMA) guidelines were followed, and the study was registered in PROSPERO (CRD42022361944). Two independent reviewers screened and extracted data, and assessed the risk of bias. Pooled odds ratios were calculated using random-effects models, and heterogeneity was assessed with the I2 statistic. Publication bias was evaluated with Egger’s test and funnel plots.
Results
The search identified 1071 unique records, of which 28 studies met inclusion criteria. The meta-analysis included 27 studies with independent samples. Suicidal behaviour (pooled odds ratio 3.14, 95% CI 1.86–5.31) and suicide attempts (pooled odds ratio 2.78, 95% CI 1.82–4.24) were predictors of future non-fatal suicide attempts. Suicidal ideation severity (odds ratio 1.46/point, 95% CI 1.28–1.77) was a stronger predictor of future non-fatal suicide attempts than suicideal ideation intensity (odds ratio 1.11/point, 95% CI 1.04–1.18). Two studies linked higher suicidal ideation severity and a history of suicidal behaviour with an increased risk of fatal suicide attempts, though meta-analysis was not feasible for only two studies.
Conclusions
Suicidal behaviour, suicide attempts and to a lesser extent suicidal ideation, identified using the C-SSRS, predicted future non-fatal suicide attempts. These findings support the use of the C-SSRS to detect individuals at higher-risk requiring enhanced preventive interventions.
Psychiatric disorders are highly heterogeneous. It is clinically valuable to distinguish psychiatric disorders by the presence or absence of a specific comorbid condition.
Methods
We employed a novel algorithm (CombGWAS) to decipher the genetic basis of psychiatric disorder combinations using genome-wide association studies summary statistics. We focused on comorbidities and combinations of diseases, such as schizophrenia (SCZ) with and without depression, which can be considered as two ‘subtypes’ of SCZ. We also studied psychiatric disorders comorbid with obesity as disease subtypes.
Results
We compared the genetic architectures of psychiatric disorders with and without specific comorbidities, identifying both shared and unique susceptibility genes/variants across 8 subtype pairs (16 entities). Despite high genetic correlations between subtypes, most subtype pairs exhibited distinct genetic correlations with the same cardiovascular disease (CVD). Some pairs even displayed opposite genetic correlations, especially those involving obesity. For instance, the genetic correlation (rg) between SCZ with obesity and type 2 diabetes (T2DM) was 0.248 (p = 4.42E−28), while the rg between SCZ without obesity and T2DM was −0.154 (p = 6.79E−12). Mendelian randomization analyses revealed that comorbid psychiatric disorders often have stronger causal effects on cardiovascular risks compared to single disorders, but the effects vary across psychiatric subtypes. Notably, obese and nonobese major depressive disorder/SCZ showed opposite causal effects on the risks of T2DM.
Conclusions
Our study provides novel insights into the genetic basis of psychiatric disorder heterogeneity, revealing unique genetic signatures across various disorder combinations. Notably, comorbid psychiatric disorders often showed different causal relationships with CVD compared to single disorders.
Cancer heterogeneity presents a major obstacle to effective drug treatment, emphasizing the need for personalized approaches that can accurately predict drug responses. Advances in high-throughput technologies have driven precision medicine initiatives toward integrating multi-omics data, enabling a more comprehensive understanding of tumor biology. However, integration of diverse omics layers poses challenges for computational modeling, as many traditional machine learning (ML) and statistical methods are not designed to capture complex, high-dimensional and multimodal data. This review examines the studies that integrate multi-omics datasets, aiming to enhance drug response prediction (DRP). Specifically, it outlines the most used omics types and computational approaches – classical ML models, as well as advanced deep learning and multimodal integration frameworks for improving DRP, detailing key methodologies and evaluation metrics, such as area under the dose–response curve, F1 score and mean square error, which assess model performance. By summarizing the integrated omics data, computational methods and challenges encountered, this review provides an in-depth overview of the existing landscape of precision medicine and future directions for advancing drug-response prediction.
What is the optimal level of questionnaire detail required to measure bilingual language experience? This empirical evaluation compares alternative measures of language exposure of varying cost (i.e., questionnaire detail) in terms of their performance as predictors of oral language outcomes. The alternative measures were derived from Q-BEx questionnaire data collected from a diverse sample of 121 heritage bilinguals (5–9 years of age) growing up in France, the Netherlands and the UK. Outcome data consisted of morphosyntax and vocabulary measures (in the societal language) and parental estimates of oral proficiency (in the heritage language). Statistical modelling exploited information-theoretic and cross-validation approaches to identify the optimal language exposure measure. Optimal cost–benefit was achieved with cumulative exposure (for the societal language) and current exposure in the home (for the heritage language). The greatest level of questionnaire detail did not yield more reliable predictors of language outcomes.
Pygoscelis penguins are valuable indicators of the effects of rapid warming in the Antarctic Peninsula. In the western Antarctic Peninsula, Adélie penguins show a declining population trend, whereas gentoo penguins are expanding. The notably low reproductive success of Adélie but not gentoo penguins at Ardley Island during the 2023/2024 breeding season provided an opportunity to explore the potential effects of weather conditions and food availability as possible determinants of reproductive output. We explore associations between reproductive output, air temperature, wind speed, wind chill temperature and accumulated rain and snow. As a proxy for food availability, we used data of penguins’ foraging trips, which reflect krill abundance. A late-winter storm at the end of October 2023 led to a record-low wind chill temperature and sustained snow cover, negatively affecting the number of eggs that hatched successfully and/or the number of chicks that survived the first days after hatching. The effects were similar for both species, yet for gentoo penguins chick survival in the late stage of the chick-rearing phase was remarkably higher, possibly due to high food availability and a longer nestling period. As previously suggested, the greater plasticity of gentoo penguins may allow them to mitigate the negative effects of environmental variability, potentially explaining this divergent breeding success despite unusually harsh meteorological conditions.
This article analyses the activities conducted by the Banca Nazionale del Lavoro (BNL) in Spain between 1936 to 1943 to understand Italian policy towards the Francoist regime during that period. In doing so, this piece argues that it is important to adopt a political economy approach that looks at production, trade and industrial investments, always in relation to politics, diplomacy, law, culture and government. In fact, this article establishes that, for the main actors in Rome at the time, all these considerations were inseparable when it came to the Italian policy towards Franco’s Spain. Furthermore, I argue that the BNL initiatives are better understood when situated within the larger history of the Fascist regime in Italy and its imperialistic policies in the Mediterranean area.
The EU has been represented as a singular ‘Digital Empire’ speaking with one voice on matters of EU digital regulation. Closer examination of discrete areas of EU digital regulation reveals a more nuanced picture suggesting clear institutional divergence between the EU institutions regarding the substantive protection afforded by EU law. A detailed analysis of EU data protection adequacy decisions brings to the surface intra-EU tensions concerning the substance of core EU fundamental rights. This analysis reveals that the EU Commission has taken on a more prominent role in adequacy decision-making since the entry into force of the EU’s General Data Protection Regulation at the expense of other relevant stakeholders. Furthermore, the Commission’s decisional practice does not align fully with the stance of the Court of Justice on the right to data protection. New sites of intra-EU human rights tensions are therefore uncovered with consequences for the legitimacy of the EU as a digital regulator and the role of the Commission as a guardian of the treaties.
The Stable Roommates problems are characterized by the preferences of agents over other agents as roommates. A solution is a partition of the agents into pairs that are acceptable to each other (i.e., they are in the preference lists of each other), and the matching is stable (i.e., there do not exist any two agents who prefer each other to their roommates and thus block the matching). Motivated by real-world applications, and considering that stable roommates problems do not always have solutions, we continue our studies to compute “good-enough” matchings. In addition to the agents’ habits and habitual preferences, we consider their networks of preferred friends and introduce a method to generate personalized solutions to stable roommates problems. We illustrate the usefulness of our method with examples and empirical evaluations.
Building on previous scholarship on “genetic capital” and the politicization of animal economies, this paper examines how animal breeds and their transnational movement became geopolitical issues in late seventeenth- and eighteenth-century Europe. In particular, it examines how the French government’s efforts to emulate English and Spanish wool pro-duction, and to overcome the economic advantage stemming from its rivals’ superior sheep breeds, intensified in the wake of the Seven Years’ War (1756–1763). Despite bans on the exportation of live sheep from Britain and Spain, the French strove to improve their flocks through illicit imports and diplomatic agreements. These efforts culminated in the 1760s, as the Bureau of Commerce began to collaborate with agriculturalists, naturalists, diplomats, and smugglers to bring superior breeds of sheep across the Anglo-French maritime border and the Pyrenean frontier with Spain. These projects developed in tandem with new conceptions of the permanence of race and breed, according to which animals would retain their characteristics in new climates and environments. Combining perspectives from economic, agricultural, political, and cultural history, this article uses the concept of animal mercantilism to open up the geopolitical stakes inherent in understandings of animals, race, and climate.
Two months after its premiere in Leipzig, Ernst Krenek’s Leben des Orest (1930) came to the Berlin Kroll Opera, a notorious centre for experimental, modernist productions. Inevitably, critics compared the two productions, much to the Berlin production’s detriment. In particular, critics faulted the Berlin stage designs by Greek-Italian painter Giorgio de Chirico. I argue that this reception reflected a fundamental divergence in Krenek and de Chirico’s neoclassicism, which was only exacerbated by how neither Krenek nor de Chirico’s neoclassicism aligned with pre-existing expectations about the Kroll Opera’s production aesthetic, as exemplified in Igor Stravinsky’s Oedipus Rex (staged at the Kroll in 1928). Attending to these differences not only explains the troubled reception of Leben des Orest at the Kroll, but also provides fertile ground to examine the complicated and sometimes contradictory meanings ascribed to neoclassicism in the interwar period, especially as it moved between media and across national borders.
Novel utility computing paradigms rely upon the deployment of multi-service applications to pervasive and highly distributed cloud-edge infrastructure resources. Deciding onto which computational nodes to place services in cloud-edge networks, as per their functional and non-functional constraints, can be formulated as a combinatorial optimisation problem. Most existing solutions in this space are not able to deal with unsatisfiable problem instances, nor preferences, i.e., requirements that DevOps may agree to relax to obtain a solution. In this article, we exploit Answer Set Programming optimisation capabilities to tackle this problem. Experimental results in simulated settings show that our approach is effective on lifelike networks and applications.