Locating triarchic model constructs in the hierarchical structure of a comprehensive trait-based psychopathy measure: Implications for research and clinical assessment.

The triarchic model posits that distinct trait constructs of boldness, meanness, and disinhibition underlie psychopathy. The triarchic model traits are conceptualized as biobehavioral dimensions that can be assessed using different sets of indicators from alternative measurement modalities; as such, the triarchic model would hypothesize that these traits are not confined to any one item set. The present study tested whether the triarchic model dimensions would emerge from a hierarchical-structural analysis of the facet scales of the Elemental Psychopathy Assessment (EPA), an inventory designed to comprehensively index psychopathy according to the five-factor personality model. Study participants (Ns = 811, 170) completed the EPA and three different scale sets assessing the triarchic traits along with criterion measures of antisocial/externalizing behaviors. Bass-ackwards modeling of the EPA facet scales revealed a four-level structure, with factors at the third level appearing similar to the triarchic trait dimensions. An analysis in which scores for the Level-3 EPA factors were regressed onto corresponding latent-trait dimensions defined using the different triarchic scale sets revealed extremely high convergence (ßs = .84-.91). The Level-3 EPA factors also evidenced validity in relation to relevant criteria, approximating and sometimes exceeding that evident for the Level-4 EPA factors. Together, these results indicate that the triarchic trait constructs are embedded in a psychopathy inventory designed to align with a general personality model and effectively predict pertinent external criteria. (PsycInfo Database Record (c) 2024 APA, all rights reserved).

Triarchic traits as risk versus protective factors for ADHD symptomatology: A prospective longitudinal investigation.

Attention-deficit/hyperactivity disorder (ADHD) symptoms are associated with myriad adverse outcomes, including interpersonal difficulties, but factors that moderate the developmental course and functional impact of ADHD over time are not well understood. The present study evaluated developmental contributions of the triarchic neurobehavioral traits (boldness, meanness, and disinhibition) to ADHD symptomatology and its subdimensions from adolescence to young adulthood. Participants were twins and triplets assessed at ages 14, 17, and 19 (initial N = 1,185, 51.2% female). Path analyses using negative binomial regression revealed that boldness at age 14 was associated with more ADHD symptoms cross-sectionally (especially hyperactivity/impulsivity), but fewer symptoms (especially inattention) at age 19 in the prospective analysis. Notably, inclusion of interpersonal problems at ages 14 and 17 as covariates reduced the latter effect to nonsignificant. Disinhibition concurrently and prospectively predicted higher levels of ADHD symptoms, including both subdimensions, and the prospective effects were partially mediated by greater social impairment at age 17. Meanness prospectively (but not concurrently) predicted higher levels of hyperactivity/impulsivity symptoms. Sex moderated certain associations of meanness and disinhibition with ADHD symptoms. These findings highlight how fundamental neurobehavioral traits shape both psychopathology and adaptive outcomes in the developmental course of ADHD.

Phase 1 trial to model primary, secondary, and tertiary dengue using a monovalent vaccine.

BACKGROUND: The four co-circulating and immunologically interactive dengue virus serotypes (DENV1-4) pose a unique challenge to vaccine design because sub-protective immunity can increase the risk of severe dengue disease. Existing dengue vaccines have lower efficacy in DENV seronegative individuals but higher efficacy in DENV exposed individuals. There is an urgent need to identify immunological measures that are strongly associated with protection against viral replication and disease following sequential exposure to distinct serotypes. METHODS/DESIGN: This is a phase 1 trial wherein healthy adults with neutralizing antibodies to zero (seronegative), one non-DENV3 (heterotypic), or more than one (polytypic) DENV serotype will be vaccinated with the live attenuated DENV3 monovalent vaccine rDEN3Δ30/31-7164. We will examine how pre-vaccine host immunity influences the safety and immunogenicity of DENV3 vaccination in a non-endemic population. We hypothesize that the vaccine will be safe and well tolerated, and all groups will have a significant increase in the DENV1-4 neutralizing antibody geometric mean titer between days 0 and 28. Compared to the seronegative group, the polytypic group will have lower mean peak vaccine viremia, due to protection conferred by prior DENV exposure, while the heterotypic group will have higher mean peak viremia, due to mild enhancement. Secondary and exploratory endpoints include characterizing serological, innate, and adaptive cell responses; evaluating proviral or antiviral contributions of DENV-infected cells; and immunologically profiling the transcriptome, surface proteins, and B and T cell receptor sequences and affinities of single cells in both peripheral blood and draining lymph nodes sampled via serial image-guided fine needle aspiration. DISCUSSION: This trial will compare the immune responses after primary, secondary, and tertiary DENV exposure in naturally infected humans living in non-endemic areas. By evaluating dengue vaccines in a new population and modeling the induction of cross-serotypic immunity, this work may inform vaccine evaluation and broaden potential target populations. TRIAL REGISTRATION: NCT05691530 registered on January 20, 2023.

Latent variable model of triarchic psychopathy constructs in an incarcerated offender sample: Factor reliability and validity.

The triarchic model of psychopathy posits that three distinct trait dispositions-disinhibition, meanness, and boldness-contribute to the interpersonal, affective, and impulsive-unrestrained features of this condition and is represented to varying degrees in all conceptualizations and measures of psychopathy. Using data for incarcerated males (n = 273) and females (n = 83) from 10 different prisons in Italy, we specified a latent variable model of the triarchic trait constructs in which scale measures of disinhibition, meanness, and boldness composed of items from the following inventories served as indicators: Triarchic Psychopathy Measure, Psychopathic Personality Inventory-Revised, Minnesota Multiphasic Personality Inventory-2 Restructured Form, and NEO Five Factor Inventory. A correlated three-factor solution evidenced adequate model fit, with individual triarchic trait scales loading strongly onto their target factors. The model exhibited comparable fit and factor loadings when specified using data for males only, and its factors showed expected relations with pertinent criterion variables, including measures of normative personality and clinical dysfunction along with staff ratings of prison behavior and release prognosis. Extending prior research with nonclinical participants from the U.S., present study results demonstrate the viability of a latent variable model of the triarchic traits in an incarcerated offender sample from a separate culture (Italy). The significance of this work lies in the potential of the triarchic traits to serve as conceptual-empirical points of reference for integrating findings across studies of psychopathy employing diverse samples and assessment measures. (PsycInfo Database Record (c) 2022 APA, all rights reserved).

The Relationship Between Cannabis Use and Self-Reported Trait Anger in Treatment-Seeking Young People.

Objective: Trait anger has been shown to be predictive of emotion-focused coping and alcohol use. Yet, the connection between cannabis use and trait anger remains poorly characterized. The present study sought to investigate the relationship between cannabis use and self-reported trait anger in youth seeking substance use treatment. Methods: A retrospective chart review was conducted on youth (n=168) aged 14-26 presenting for an initial evaluation at an outpatient substance use treatment program. Patients self-reported trait anger score (TAS) and lifetime, recent, and Diagnostic and Statistics Manual-5th Edition diagnostic status of cannabis use were assessed. Clinician-coded psychiatric and substance use patterns were collected, along with urine carboxy delta-9-tetrahydrocannabinol (THC) concentration levels. Additional measures of anxiety, depression, and demographic variables were assessed. Results: Higher self-reported TAS were associated with cannabis use, cannabis use disorder (CUD), and more recent and frequent cannabis use. The presence of a CUD was independently associated with TAS after controlling for the presence of other substance use disorders and co-occurring depression and anxiety disorders. Higher urine THC concentration levels were associated with higher TAS. Conclusions: Findings support an association between heavy, chronic cannabis use and elevated self-reported trait anger at intake. There may be important neurological consequences of heavy, chronic cannabis use that impact anger regulation. It is also plausible that trait anger maybe a predisposing factor for elevated cannabis use. Better controlled prospective research is needed to help determine directionality. Treatment programs should target both cannabis use and anger regulation in youth.

Lentiviral Nef Proteins Differentially Govern the Establishment of Viral Latency.

Despite the clinical importance of latent human immunodeficiency virus type 1 (HIV-1) infection, our understanding of the biomolecular processes involved in HIV-1 latency control is still limited. This study was designed to address whether interactions between viral proteins, specifically HIV Nef, and the host cell could affect latency establishment. The study was driven by three reported observations. First, early reports suggested that human immunodeficiency virus type 2 (HIV-2) infection in patients produces a lower viral RNA/DNA ratio than HIV-1 infection, potentially indicating an increased propensity of HIV-2 to produce latent infection. Second, Nef, an early viral gene product, has been shown to alter the activation state of infected cells in a lentiviral lineage-dependent manner. Third, it has been demonstrated that the ability of HIV-1 to establish latent infection is a function of the activation state of the host cell at the time of infection. Based on these observations, we reasoned that HIV-2 Nef may have the ability to promote latency establishment. We demonstrate that HIV-1 latency establishment in T cell lines and primary T cells is indeed differentially modulated by Nef proteins. In the context of an HIV-1 backbone, HIV-1 Nef promoted active HIV-1 infection, while HIV-2 Nef strongly promoted latency establishment. Given that Nef represents the only difference in these HIV-1 vectors and is known to interact with numerous cellular factors, these data add support to the idea that latency establishment is a host cell-virus interaction phenomenon, but they also suggest that the HIV-1 lineage may have evolved mechanisms to counteract host cell suppression. IMPORTANCE Therapeutic attempts to eliminate the latent HIV-1 reservoir have failed, at least in part due to our incomplete biomolecular understanding of how latent HIV-1 infection is established and maintained. We here address the fundamental question of whether all lentiviruses actually possess a similar capacity to establish latent infections or whether there are differences between the lentiviral lineages driving differential latency establishment that could be exploited to develop improved latency reversal agents. Research investigating the viral RNA/DNA ratio in HIV-1 and HIV-2 patients could suggest that HIV-2 indeed has a much higher propensity to establish latent infections, a trait that we found, at least in part, to be attributable to the HIV-2 Nef protein. Reported Nef-mediated effects on host cell activation thus also affect latency establishment, and HIV-1 vectors that carry different lentiviral nef genes should become key tools to develop a better understanding of the biomolecular basis of HIV-1 latency establishment.

Host T Cell Dedifferentiation Effects Drive HIV-1 Latency Stability.

The development of therapies to eliminate the latent HIV-1 reservoir is hampered by our incomplete understanding of the biomolecular mechanism governing HIV-1 latency. To further complicate matters, recent single-cell RNA sequencing (scRNA-seq) studies reported extensive heterogeneity between latently HIV-1-infected primary T cells, implying that latent HIV-1 infection can persist in greatly differing host cell environments. We show here that transcriptomic heterogeneity is also found between latently infected T cell lines, which allowed us to study the underlying mechanisms of intercell heterogeneity at high signal resolution. Latently infected T cells exhibited a dedifferentiated phenotype, characterized by the loss of T cell-specific markers and gene regulation profiles reminiscent of hematopoietic stem cells (HSC). These changes had functional consequences. As reported for stem cells, latently HIV-1-infected T cells efficiently forced lentiviral superinfections into a latent state and favored glycolysis. As a result, metabolic reprogramming or cell redifferentiation destabilized latent infection. Guided by these findings, data mining of single-cell RNA-seq data of latently HIV-1-infected primary T cells from patients revealed the presence of similar dedifferentiation motifs. More than 20% of the highly detectable genes that were differentially regulated in latently infected cells were associated with hematopoietic lineage development (e.g., HUWE1, IRF4, PRDM1, BATF3, TOX, ID2, IKZF3, and CDK6) or were hematopoietic markers (SRGN; hematopoietic proteoglycan core protein). The data add to evidence that the biomolecular phenotype of latently HIV-1-infected cells differs from that of normal T cells and strategies to address their differential phenotype need to be considered in the design of therapeutic cure interventions. IMPORTANCE HIV-1 persists in a latent reservoir in memory CD4 T cells for the lifetime of a patient. Understanding the biomolecular mechanisms used by the host cells to suppress viral expression will provide essential insights required to develop curative therapeutic interventions. Unfortunately, our current understanding of these control mechanisms is still limited. By studying gene expression profiles, we demonstrated that latently HIV-1-infected T cells have a dedifferentiated T cell phenotype. Software-based data integration allowed the identification of drug targets that would redifferentiate viral host cells and, by extension, destabilize latent HIV-1 infection events. The importance of the presented data lies within the clear demonstration that HIV-1 latency is a host cell phenomenon. As such, therapeutic strategies must first restore proper host cell functionality to accomplish efficient HIV-1 reactivation.

Evaluating the validity of brief prototype-based informant ratings of triarchic psychopathy traits in prisoners.

The validity of self-report psychopathy assessment has been questioned, especially in forensic settings where clinical evaluations influence critical decision-making (e.g., institutional placement, parole eligibility). Informant-based assessment offers a potentially valuable supplement to self-report but is challenging to acquire in under-resourced forensic contexts. The current study evaluated, within an incarcerated sample (n = 322), the extent to which brief prototype-based informant ratings of psychopathic traits as described by the triarchic model (boldness, meanness, disinhibition; Patrick et al., 2009) converge with self-report trait scores and show incremental validity in predicting criterion measures. Self/informant convergence was robust for traits of boldness and disinhibition, but weaker for meanness. Informant-rated traits showed incremental predictive validity over self-report traits, both within and across assessment domains. These findings indicate that simple prototype-based informant ratings of the triarchic traits can provide a useful supplement to self-report in assessing psychopathy within forensic-clinical settings.

Validation of brief screening measures for depression and anxiety in young people with substance use disorders.

BACKGROUND: It is critical to promptly identify and monitor mood and anxiety symptoms in young people with SUD. The primary aim of this study was to conduct a psychometric validation of the Patient Health Questionnaire (PHQ-9) and Generalized Anxiety Disorder scale (GAD-7) for depression and anxiety screening in young people seeking outpatient treatment for SUD. Our secondary aim was to compare the performance of the PHQ-9 and GAD-7 to their briefer two-item versions (PHQ-2 and GAD-2) in terms of detecting probable mood and anxiety disorders. METHOD: Data were extracted from the electronic health records of patients (ages 14 to 26) who received a diagnostic evaluation following clinical implementation of the PHQ-9 and GAD-7 at a hospital-based outpatient SUD treatment program (N=121, average age 19.1 ± 3.1 years). RESULTS: The PHQ-9 and GAD-7 showed excellent internal consistency. A PHQ-9 cut score of 7 or 8 (PHQ-2 cut score: 2) and GAD-7 cut score of 6 (GAD-2 cut score: 2) had the best balance of sensitivity, specificity, and positive and negative predictive power in these data. These measures also showed good convergent and acceptable discriminant validity. LIMITATIONS: The sample was predominantly White and non-Hispanic, and a validated (semi-)structured diagnostic interview was not used to establish mood and anxiety disorder diagnoses. CONCLUSIONS: Results suggest the PHQ-9 and GAD-7 are reliable and potentially clinically useful screening tools for depression and anxiety in young people with SUD, and that the two-item versions may have similar clinical utility as the full measures.

Patient Experience and Predictors of Improvement in a Group Behavioral and Educational Intervention for Individuals With Diabetes and Serious Mental Illness: Mixed Methods Case Study.

BACKGROUND: In a previous study, participation in a 16-week reverse integrated care and group behavioral and educational intervention for individuals with diabetes and serious mental illness was associated with improved glycemic control (hemoglobin A1c) and BMI. To inform future implementation efforts, more information about the effective components of the intervention is needed. OBJECTIVE: The goal of this study is to identify the aspects of the intervention participants reported to be helpful and to evaluate the predictors of outcomes. METHODS: This study involved qualitative evaluation and post hoc quantitative analysis of a previous intervention. Qualitative data were collected using semistructured interviews with 69% (24/35) of the individuals who attended 1 or more group sessions and 35% (9/26) of the individuals who consented but attended no sessions. Quantitative mixed effects modeling was performed to test whether improved diabetes knowledge, diet, and exercise or higher group attendance predicted improved hemoglobin A1c and BMI. These interview and modeling outcomes were combined using a mixed methods case study framework and integrated thematically. RESULTS: In qualitative interviews, participants identified the application of health-related knowledge gained to real-world situations, accountability for goals, positive reinforcement and group support, and increased confidence in prioritizing health goals as factors contributing to the success of the behavioral intervention. Improved knowledge of diabetes was associated with reduced BMI (ß=-1.27, SD 0.40; P=.003). No quantitative variables examined were significantly associated with improved hemoglobin A1c levels. CONCLUSIONS: In this mixed methods analysis of predictors of success in a behavioral diabetes management program, group participants highlighted the value of positive reinforcement and group support, accountability for goals set, and real-world application of health-related knowledge gained. Improved diabetes knowledge was associated with weight loss.

Extensive proteomic and transcriptomic changes quench the TCR/CD3 activation signal of latently HIV-1 infected T cells.

The biomolecular mechanisms controlling latent HIV-1 infection, despite their importance for the development of a cure for HIV-1 infection, are only partially understood. For example, ex vivo studies have recently shown that T cell activation only triggered HIV-1 reactivation in a fraction of the latently infected CD4+ T cell reservoir, but the molecular biology of this phenomenon is unclear. We demonstrate that HIV-1 infection of primary T cells and T cell lines indeed generates a substantial amount of T cell receptor (TCR)/CD3 activation-inert latently infected T cells. RNA-level analysis identified extensive transcriptomic differences between uninfected, TCR/CD3 activation-responsive and -inert T cells, but did not reveal a gene expression signature that could functionally explain TCR/CD3 signaling inertness. Network analysis suggested a largely stochastic nature of these gene expression changes (transcriptomic noise), raising the possibility that widespread gene dysregulation could provide a reactivation threshold by impairing overall signal transduction efficacy. Indeed, compounds that are known to induce genetic noise, such as HDAC inhibitors impeded the ability of TCR/CD3 activation to trigger HIV-1 reactivation. Unlike for transcriptomic data, pathway enrichment analysis based on phospho-proteomic data directly identified an altered TCR signaling motif. Network analysis of this data set identified drug targets that would promote TCR/CD3-mediated HIV-1 reactivation in the fraction of otherwise TCR/CD3-reactivation inert latently HIV-1 infected T cells, regardless of whether the latency models were based on T cell lines or primary T cells. The data emphasize that latent HIV-1 infection is largely the result of extensive, stable biomolecular changes to the signaling network of the host T cells harboring latent HIV-1 infection events. In extension, the data imply that therapeutic restoration of host cell responsiveness prior to the use of any activating stimulus will likely have to be an element of future HIV-1 cure therapies.

Sustained cellular immune dysregulation in individuals recovering from SARS-CoV-2 infection.

SARS-CoV-2 causes a wide spectrum of clinical manifestations and significant mortality. Studies investigating underlying immune characteristics are needed to understand disease pathogenesis and inform vaccine design. In this study, we examined immune cell subsets in hospitalized and nonhospitalized individuals. In hospitalized patients, many adaptive and innate immune cells were decreased in frequency compared with those of healthy and convalescent individuals, with the exception of an increase in B lymphocytes. Our findings show increased frequencies of T cell activation markers (CD69, OX40, HLA-DR, and CD154) in hospitalized patients, with other T cell activation/exhaustion markers (PD-L1 and TIGIT) remaining elevated in hospitalized and nonhospitalized individuals. B cells had a similar pattern of activation/exhaustion, with increased frequency of CD69 and CD95 during hospitalization followed by an increase in PD1 frequencies in nonhospitalized individuals. Interestingly, many of these changes were found to increase over time in nonhospitalized longitudinal samples, suggesting a prolonged period of immune dysregulation after SARS-CoV-2 infection. Changes in T cell activation/exhaustion in nonhospitalized patients were found to positively correlate with age. Severely infected individuals had increased expression of activation and exhaustion markers. These data suggest a prolonged period of immune dysregulation after SARS-CoV-2 infection, highlighting the need for additional studies investigating immune dysregulation in convalescent individuals.

The tetraspanin CD151 marks a unique population of activated human T cells.

Tetraspanins are a family of proteins with an array of functions that are well studied in cancer biology, but their importance in immunology is underappreciated. Here we establish the tetraspanin CD151 as a unique marker of T-cell activation and, in extension, an indicator of elevated, systemic T-cell activity. Baseline CD151 expression found on a subset of T-cells was indicative of increased activation of the MAPK pathway. Following TCR/CD3 activation, CD151 expression was upregulated on the overall T-cell population, a quintessential feature of an activation marker. CD151+ T-cell frequencies in the spleen, an organ with increased immune activity, were twice as high as in paired peripheral blood samples. This CD151+ T-cell frequency increase was not paralleled by an increase of CD25 or CD38, demonstrating that CD151 expression is regulated independently of other T-cell activation markers. CD151+ T-cells were also more likely to express preformed granzyme B, suggesting that CD151+ T cells are pro-inflammatory. To this end, HIV-1 patients on antiretroviral therapy who are reported to exhibit chronically elevated levels of immune activity, had significantly higher CD4+CD151+ T-cell frequencies than healthy controls, raising the possibility that proinflammatory CD151+ T cells could contribute to the premature immunological aging phenotype observed in these patients.

Substance-induced Psychosis in Youth.

Youth experiencing psychosis also frequently misuse substances, making it clinically challenging to differentiate substance-induced psychosis (SIP) from a primary psychotic disorder (PPD), which has important implications for management and prognosis. This article presents practical considerations related to differentiating SIP from PPD, including information on substances associated with symptoms of psychosis. Recommendations for management of SIP are also reviewed, including screening for and treating comorbid substance use disorders and using evidence-based medication and psychosocial interventions.

Cross-domain correlates of cannabis use disorder severity among young adults.

BACKGROUND: Correlates of cannabis use and dependence among young adults have been widely studied. However, it is not known which factors are most strongly associated with severity of cannabis use dependence (CUD) severity. Identification of the salient correlates of CUD severity will be of increasing clinical significance as use becomes more socially normative. METHODS: This study used a data-driven, hypothesis-free approach to examine the most robust correlates of CUD severity among a sample of 76 young adults (ages 18 to 25 years) who used cannabis at least weekly. Seventy-one candidate variables were examined for association with CUD severity. These included demographic variables, self-reported and psychodiagnostic assessments of mood and anxiety, self-reported measures of personality, cannabis and other substance use characteristics, and objective and subjective measures of cognition. RESULTS: Of the 71 candidate variables considered, 27 were associated with CUD severity on a univariate level at a p-value ≤.20. Correlates of CUD severity in the multivariable model using stepwise selection were: more frequent cannabis use in the past 90 days, greater expectancies that cannabis causes cognitive and behavioral impairment, greater self-reported metacognitive deficits, greater anxiety, and lower reaction time variability on a test of sustained attention. Internal validation tests support high prediction accuracy of all variables in the multivariable model, except for lower reaction time variability. CONCLUSIONS: Cannabis use frequency, beliefs about use, perceived cognitive abilities, and anxiety are robustly associated with CUD severity in young adult, regular cannabis users, and may be important in guiding prevention and treatment efforts.

The TreadWheel: Interval Training Protocol for Gently Induced Exercise in Drosophila melanogaster.

The incidence of complex metabolic diseases has increased as a result of a widespread transition towards lifestyles of increased caloric intake and lowered activity levels. These multifactorial diseases arise from a combination of genetic, environmental, and behavioral factors. One such complex disease is Metabolic Syndrome (MetS), which is a cluster of metabolic disorders, including hypertension, hyperglycemia, and abdominal obesity. Exercise and dietary intervention are the primary treatments recommended by doctors to mitigate obesity and its subsequent metabolic diseases. Exercise intervention, in particular aerobic interval training, stimulates favorable changes in the common risk factors for Type 2 Diabetes Mellitus (T2DM), Cardiovascular Disease (CVD), and other conditions. With the influx of evidence describing the therapeutic effect exercise has on metabolic health, establishing a system that models exercise in a controlled setting provides a valuable tool for assessing the effects of exercise in an experimental context. Drosophila melanogaster is a great tool for investigating the physiological and molecular changes that result from exercise intervention. The flies have short lifespans and similar mechanisms of metabolizing nutrients when compared to humans. To induce exercise in Drosophila, we developed a machine called the TreadWheel, which utilizes the fly's innate, negative geotaxis tendency to gently induce climbing. This enables researchers to perform experiments on large cohorts of genetically diverse flies to better understand the genotype-by-environment interactions underlying the effects of exercise on metabolic health.