Citations

Abstract The Human Phenotype Ontology (HPO) is a widely used resource that comprehensively organizes and defines the phenotypic features of human disease, enabling computational inference and supporting genomic and phenotypic analyses through semantic similarity and machine learning algorithms. The HPO has widespread applications in clinical diagnostics and translational research, including genomic diagnostics, gene-disease discovery, and cohort analytics. In recent years, groups around the world have developed translations of the HPO from English to other languages, and the HPO browser has been internationalized, allowing users to view HPO term labels and in many cases synonyms and definitions in ten languages in addition to English. Since our last report, a total of 2239 new HPO terms and 49235 new HPO annotations were developed, many in collaboration with external groups in the fields of psychiatry, arthrogryposis, immunology and cardiology. The Medical Action Ontology (MAxO) is a new effort to model treatments and other measures taken for clinical management. Finally, the HPO consortium is contributing to efforts to integrate the HPO and the GA4GH Phenopacket Schema into electronic health records (EHRs) with the goal of more standardized and computable integration of rare disease data in EHRs.

Abstract Objectives To understand treatment practices for bipolar disorders (BD), this study leveraged the Global Bipolar Cohort collaborative network to investigate pharmacotherapeutic treatment patterns in multiple cohorts of well‐characterized individuals with BD in North America, Europe, and Australia. Methods Data on pharmacotherapy, demographics, diagnostic subtypes, and comorbidities were provided from each participating cohort. Individual site and regional pooled proportional meta‐analyses with generalized linear mixed methods were conducted to identify prescription patterns. Results This study included 10,351 individuals from North America ( n = 3985), Europe ( n = 3822), and Australia ( n = 2544). Overall, participants were predominantly female (60%) with BD‐I (60%; vs. BD‐II = 33%). Cross‐sectionally, mood‐stabilizing anticonvulsants (44%), second‐generation antipsychotics (42%), and antidepressants (38%) were the most prescribed medications. Lithium was prescribed in 29% of patients, primarily in the Australian (31%) and European (36%) cohorts. First‐generation antipsychotics were prescribed in 24% of the European versus 1% in the North American cohort. Antidepressant prescription rates were higher in BD‐II (47%) compared to BD‐I (35%). Major limitations were significant differences among cohorts based on inclusion/exclusion criteria, data source, and time/year of enrollment into cohort. Conclusions Mood‐stabilizing anticonvulsants, second‐generation antipsychotics, and antidepressants were the most prescribed medications suggesting prescription patterns that are not necessarily guideline concordant. Significant differences exist in the prescription practices across different geographic regions, especially the underutilization of lithium in the North American cohorts and the higher utilization of first‐generation antipsychotics in the European cohorts. There is a need to conduct future longitudinal studies to further explore these differences and their impact on outcomes, and to inform and implement evidence‐based guidelines to help improve treatment practices in BD.

Abstract Background: Prostate cancer is the second leading cause of cancer-related death in men in the United States and is dependent on androgens and androgen receptor (AR) activation. Androgen deprivation therapy (ADT) is the mainstay treatment, but it as well as next-generation treatments eventually fail. Disease then progresses as castration-resistant prostate cancer (CRPC), which is driven by reactivation of the androgen-AR axis. 3β-hydroxysteroid dehydrogenase-1 (3βHSD1) catalyzes the rate-limiting step for potent androgen synthesis from adrenal-derived precursors, thereby stimulating CRPC. HSD3B1, which encodes for 3βHSD1, has a common missense-encoding germline variation that enhances conversion from adrenal DHEA to potent androgens. Clinical studies demonstrate that this “adrenal-permissive” HSD3B1 genotype confers more rapid progression on ADT, and recent studies show that overall survival is shorter in patients with the adrenal-permissive genotype who are treated with ADT + enzalutamide. The Etk/BMX kinase may be involved in the development and progression of CRPC. We sought to determine whether phosphorylation of 3βHSD1 is required for its activation and that the necessary kinase could be a potential target. Methods: In prostate cancer lines, mouse xenograft models, and fresh patient prostatectomy tissues, mass spectrometry and HPLC were used to identify steroid metabolites. Genetic and pharmacological methods were used to identify inhibition of BMX-mediated 3βHSD1 phosphorylation in CRPC. Results: BMX inhibition suppressed castration-resistant prostate cancer through targeting 3βHSD1 phosphorylation. 3βHSD1 transcription level and enzyme activity were induced in enzalutamide-resistant prostate cancer cell lines. 3βHSD1 and SF-1 transcription levels were positively correlated in prostate adenocarcinoma (TCGA database). BMX inhibition by zanubrutinib suppressed enzalutamide resistance induced 3βHSD1 enzyme activity. Conclusions: BMX promotes CRPC by regulating 3βHSD1 phosphorylation. BMX inhibition has potential as a new therapy to optimize CRPC treatment. Citation Format: Xiuxiu Li, Michael Berk, Christopher Goins, Mohammad Alyamani, Yoon-Mi Chung, Chenyao Wang, Monaben Patel, Nityam Rathi, Ziqi Zhu, Belinda Willard, Shaun Stauffer, Eric Klein, Nima Sharifi. BMX inhibition reverses HSD3B1-driven resistance in prostate cancer [abstract]. In: Proceedings of the AACR Special Conference: Advances in Prostate Cancer Research; 2023 Mar 15-18; Denver, Colorado. Philadelphia (PA): AACR; Cancer Res 2023;83(11 Suppl):Abstract nr A026.

144 Background: Kinase inhibitors have been ineffective in prostate cancer and have no known role in androgen biosynthesis. Inheritance of the adrenal-permissive HSD3B1(1245C) allele encodes a 3βHSD1 enzyme missense that up-regulates the rate-limiting step of androgen biosynthesis from non-gonadal precursor steroids and confers poor clinical outcomes in castration-resistant prostate cancer (CRPC). About half of all men with prostate cancer inherit the adrenal-permissive HSD3B1 allele. Multiple clinical studies demonstrate that adrenal-permissive HSD3B1 allele inheritance confers more rapid progression on ADT and others also suggest worse CRPC outcomes even after treatment with abiraterone or enzalutamide. However, there is no known method to clinically block 3βHSD1. Furthermore, 3βHSD1 is not known to be phosphorylated. Methods: Mass spectrometry was used to identify protein phosphorylation sites and steroid metabolites, genetic and pharmacologic methods were used to identify the kinase required for 3βHSD1 phosphorylation and mouse xenograft studies were performed with BMX inhibition. The identified mechanism was used to design and launch a multicenter phase 2 study of the BMX inhibitor abivertinib in combination with abiraterone in men with metastatic CRPC. Results: 3βHSD1 enzyme activity requires tyrosine phosphorylation at Y344 by the BMX kinase. Androgen biosynthesis is blocked by a phosphorylation-defective 3βHSD1 344F, or BMX genetic knockdown, or BMX pharmacologic inhibition. BMX inhibition using zanubrutinib suppresses CRPC growth in the C4-2 and VCaP xenograft models by blocking intratumoral androgen synthesis and tumor androgen receptor (AR) signaling. Discovery of this mechanism provides the rationale for the phase 2 Maverick trial of abivertinib, a BMX inhibitor, combined with abiraterone, in men with CRPC with adrenal-permissive HSD3B1 allele inheritance (NCT05361915). Eligibility includes 1) presence of metastatic CRPC, 2) measurable and/or non-measurable disease, and 3) confirmed positivity of adrenal-permissive HSD3B1(1245C) allele inheritance via central testing (cap heterozygosity at 50%). Patients will be enrolled in 2 arms: 1) abiraterone naïve (n=45) and 2) abiraterone progressing (n=55). All patients will receive treatment with abivertinib 200mg twice daily with abiraterone 1000mg daily and prednisone 5mg by mouth twice daily. The primary outcome is 6-month radiographic progression-free survival. On-treatment biopsies will be used to inform mechanisms of response and resistance in patients. Conclusions: BMX is required for 3βHSD1 phosphorylation, androgen biosynthesis and CRPC progression with the adrenal-permissive HSD3B1(1245C) allele. The Maverick trial will test clinical proof-of-concept of BMX inhibition in men with adrenal-permissive HSD3B1(1245C) inheritance. Clinical trial information: NCT05361915 .

Bipolar disorder is heterogeneous in phenomenology, illness trajectory, and response to treatment. Despite evidence for the efficacy of multimodal­ity interventions, the majority of persons affected by this disorder do not achieve and sustain full syndromal recovery. It is eagerly anticipated that combining datasets across various information sources (e.g., hierarchical “multi‐omic” measures, electronic health records), analyzed using advanced computational methods (e.g., machine learning), will inform future diagnosis and treatment selection. In the interim, identifying clinically meaningful subgroups of persons with the disorder having differential response to specific treatments at point‐of‐care is an empirical priority. This paper endeavours to synthesize salient domains in the clinical characterization of the adult patient with bipolar disorder, with the overarching aim to improve health outcomes by informing patient management and treatment considerations. Extant data indicate that characterizing select domains in bipolar disorder provides actionable information and guides shared decision making. For example, it is robustly established that the presence of mixed features – especially during depressive episodes – and of physical and psychiatric comorbidities informs illness trajectory, response to treatment, and suicide risk. In addition, early environmental exposures (e.g., sexual and physical abuse, emotional neglect) are highly associated with more complicated illness presentations, inviting the need for developmentally‐oriented and integrated treatment approaches. There have been significant advances in validating subtypes of bipolar disorder (e.g., bipolar I vs. II disorder), particularly in regard to pharmacological interventions. As with other severe mental disorders, social functioning, interpersonal/family relationships and internalized stigma are domains highly relevant to relapse risk, health outcomes, and quality of life. The elevated standardized mortality ratio for completed suicide and suicidal behaviour in bipolar disorder invites the need for characterization of this domain in all patients. The framework of this paper is to describe all the above salient domains, providing a synthesis of extant literature and recommendations for decision support tools and clinical metrics that can be implemented at point‐of‐care.

AbstractObjectivesPersistent functional impairment is common in bipolar disorder (BD) and is influenced by a number of demographic, clinical, and cognitive features. The goal of this project was to estimate and compare the influence of key factors on community function in multiple cohorts of well‐characterized samples of individuals with BD.MethodsThirteen cohorts from 7 countries included n = 5882 individuals with BD across multiple sites. The statistical approach consisted of a systematic uniform application of analyses across sites. Each site performed a logistic regression analysis with empirically derived “higher versus lower function” as the dependent variable and selected clinical and demographic variables as predictors.ResultsWe found high rates of functional impairment, ranging from 41 to 75%. Lower community functioning was associated with depressive symptoms in 10 of 12 of the cohorts that included this variable in the analysis. Lower levels of education, a greater number of prior mood episodes, the presence of a comorbid substance use disorder, and a greater total number of psychotropic medications were also associated with low functioning.ConclusionsThe bipolar clinical research community is poised to work together to characterize the multi‐dimensional contributors to impairment and address the barriers that impede patients' complete recovery. We must also identify the core features which enable many to thrive and live successfully with BD. A large‐scale, worldwide, prospective longitudinal study focused squarely on BD and its heterogeneous presentations will serve as a platform for discovery and promote major advances toward optimizing outcomes for every individual with this illness.

Abstract Bipolar disorder (BD) is a complex and dynamic condition with a typical onset in late adolescence or early adulthood followed by an episodic course with intervening periods of subthreshold symptoms or euthymia. It is complicated by the accumulation of comorbid medical and psychiatric disorders. The etiology of BD remains unknown and no reliable biological markers have yet been identified. This is likely due to lack of comprehensive ontological framework and, most importantly, the fact that most studies have been based on small nonrepresentative clinical samples with cross‐sectional designs. We propose to establish large, global longitudinal cohorts of BD studied consistently in a multidimensional and multidisciplinary manner to determine etiology and help improve treatment. Herein we propose collection of a broad range of data that reflect the heterogenic phenotypic manifestations of BD that include dimensional and categorical measures of mood, neurocognitive, personality, behavior, sleep and circadian, life‐story, and outcomes domains. In combination with genetic and biological information such an approach promotes the integrating and harmonizing of data within and across current ontology systems while supporting a paradigm shift that will facilitate discovery and become the basis for novel hypotheses.

Serotonin plays a vital role in drug addiction. Here, using N-shaped fast-scan cyclic voltammetry, we demonstrated the effect of cocaine on the phasic release of serotonin at the nucleus accumbens core. To the best of our knowledge, this has not previously been elucidated. Our results not only reinforce the role of serotonin in the mechanism of action of cocaine but also help to fill a gap in our knowledge and provide a baseline for future studies in cocaine addiction.

AbstractThere is a lack of validated tools to measure fatigue in patients with inflammatory skin, neuropsychiatric, and medical disorders. The use of nonvalidated tools may compromise the quality of data. The purpose of this meta‐review was to evaluate existing fatigue scales commonly used to assess fatigue in other inflammatory conditions and to identify if there are scales that have been validated in dermatologic conditions. The PubMed/MEDLINE and SCOPUS databases were systematically searched from inception through March 10, 2020, in accordance with the PRISMA statement. Validated tools were identified and assessed according to their main measurement properties. The literature search identified 403 references, and eight studies were eligible and assessed in this review. The unidimensional fatigue scales included were the Functional Assessment of Chronic Illness Therapy – Fatigue (FACIT‐F), Brief Fatigue Inventory, Fatigue Severity Scale, Numerical Rating Scale – Fatigue, and Visual Analog Scale – Fatigue. The multidimensional fatigue scales found were the Checklist Individual Strength, Chalder Fatigue Scale, Multidimensional Assessment of Fatigue, Multidimensional Fatigue Inventory Scale, and Piper Fatigue Scale. To measure fatigue, a brief scale with the ability to detect change is needed as there is a growing interest in evaluating this dimension of treatment response. In addition, a good content validity is also needed. From this systematic review, none of the selected scales have had content validation, even though the FACIT was validated in patients with psoriatic arthritis. Validation studies in specific disorders are urgently warranted.