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.

ImportanceIncreased white matter hyperintensity (WMH) volume is a common magnetic resonance imaging (MRI) finding in both autosomal dominant Alzheimer disease (ADAD) and late-onset Alzheimer disease (LOAD), but it remains unclear whether increased WMH along the AD continuum is reflective of AD-intrinsic processes or secondary to elevated systemic vascular risk factors.ObjectiveTo estimate the associations of neurodegeneration and parenchymal and vessel amyloidosis with WMH accumulation and investigate whether systemic vascular risk is associated with WMH beyond these AD-intrinsic processes.Design, Setting, and ParticipantsThis cohort study used data from 3 longitudinal cohort studies conducted in tertiary and community-based medical centers—the Dominantly Inherited Alzheimer Network (DIAN; February 2010 to March 2020), the Alzheimer’s Disease Neuroimaging Initiative (ADNI; July 2007 to September 2021), and the Harvard Aging Brain Study (HABS; September 2010 to December 2019).Main Outcome and MeasuresThe main outcomes were the independent associations of neurodegeneration (decreases in gray matter volume), parenchymal amyloidosis (assessed by amyloid positron emission tomography), and vessel amyloidosis (evidenced by cerebral microbleeds [CMBs]) with cross-sectional and longitudinal WMH.ResultsData from 3960 MRI sessions among 1141 participants were included: 252 pathogenic variant carriers from DIAN (mean [SD] age, 38.4 [11.2] years; 137 [54%] female), 571 older adults from ADNI (mean [SD] age, 72.8 [7.3] years; 274 [48%] female), and 318 older adults from HABS (mean [SD] age, 72.4 [7.6] years; 194 [61%] female). Longitudinal increases in WMH volume were greater in individuals with CMBs compared with those without (DIAN: t = 3.2 [P = .001]; ADNI: t = 2.7 [P = .008]), associated with longitudinal decreases in gray matter volume (DIAN: t = −3.1 [P = .002]; ADNI: t = −5.6 [P < .001]; HABS: t = −2.2 [P = .03]), greater in older individuals (DIAN: t = 6.8 [P < .001]; ADNI: t = 9.1 [P < .001]; HABS: t = 5.4 [P < .001]), and not associated with systemic vascular risk (DIAN: t = 0.7 [P = .40]; ADNI: t = 0.6 [P = .50]; HABS: t = 1.8 [P = .06]) in individuals with ADAD and LOAD after accounting for age, gray matter volume, CMB presence, and amyloid burden. In older adults without CMBs at baseline, greater WMH volume was associated with CMB development during longitudinal follow-up (Cox proportional hazards regression model hazard ratio, 2.63; 95% CI, 1.72-4.03; P < .001).Conclusions and RelevanceThe findings suggest that increased WMH volume in AD is associated with neurodegeneration and parenchymal and vessel amyloidosis but not with elevated systemic vascular risk. Additionally, increased WMH volume may represent an early sign of vessel amyloidosis preceding the emergence of CMBs.

Abstract Clinical research networks conduct important studies that would not otherwise be performed by other entities. In the case of the Antibacterial Resistance Leadership Group (ARLG), such studies include diagnostic studies using master protocols, controlled phage intervention trials, and studies that evaluate treatment strategies or dynamic interventions, such as sequences of empiric and definitive therapies. However, the value of a clinical research network lies not only in the results from these important studies but in the creation of new approaches derived from collaborative thinking, carefully examining and defining the most important research questions for clinical practice, recognizing and addressing common but suboptimal approaches, and anticipating that the standard approaches of today may be insufficient for tomorrow. This results in the development and implementation of new methodologies and tools for the design, conduct, analyses, and reporting of research studies. These new methodologies directly impact the studies conducted within the network and have a broad and long-lasting impact on the field, enhancing the scientific value and efficiency of generations of research studies. This article describes innovations from the ARLG in diagnostic studies, observational studies, and clinical trials evaluating interventions for the prevention and treatment of antibiotic-resistant bacterial infections.

AbstractIn this overview, we describe important contributions from the Antibacterial Resistance Leadership Group (ARLG) to patient care, clinical trials design, and mentorship while outlining future priorities. The ARLG research agenda is focused on 3 key areas: gram-positive infections, gram-negative infections, and diagnostics. The ARLG has developed an innovative approach to clinical trials design, the desirability of outcome ranking (DOOR), which uses an ordinal measure of global outcome to assess both benefits and harms. DOOR was initially applied to observational studies to determine optimal dosing of vancomycin for methicillin-resistant Staphylcococcus aureus bacteremia and the efficacy of ceftazidime-avibactam versus colistin for the treatment of carbapenem-resistant Enterobacterales infection. DOOR is being successfully applied to the analysis of interventional trials and, in collaboration with the US Food and Drug Administration (FDA), for use in registrational trials. In the area of diagnostics, the ARLG developed Master Protocol for Evaluating Multiple Infection Diagnostics (MASTERMIND), an innovative design that allows simultaneous testing of multiple diagnostic platforms in a single study. This approach will be used to compare molecular assays for the identification of fluoroquinolone-resistant Neisseria gonorrhoeae (MASTER GC) and to compare rapid diagnostic tests for bloodstream infections. The ARLG has initiated a first-in-kind randomized, double-blind, placebo-controlled trial in participants with cystic fibrosis who are chronically colonized with Pseudomonas aeruginosa to assess the pharmacokinetics and antimicrobial activity of bacteriophage therapy. Finally, an engaged and highly trained workforce is critical for continued and future success against antimicrobial drug resistance. Thus, the ARLG has developed a robust mentoring program targeted to each stage of research training to attract and retain investigators in the field of antimicrobial resistance research.

The NCCN Guidelines for Genetic/Familial High-Risk Assessment: Breast, Ovarian, and Pancreatic focus primarily on assessment of pathogenic/likely pathogenic (P/LP) variants associated with increased risk of breast, ovarian, pancreatic, and prostate cancer, including BRCA1 , BRCA2 , CDH1 , PALB2 , PTEN , and TP53 , and recommended approaches to genetic counseling/testing and care strategies in individuals with these P/LP variants. These NCCN Guidelines Insights summarize important updates regarding: (1) a new section for transgender, nonbinary and gender diverse people who have a hereditary predisposition to cancer focused on risk reduction strategies for ovarian cancer, uterine cancer, prostate cancer, and breast cancer; and (2) testing criteria and management associated with TP53 P/LP variants and Li-Fraumeni syndrome.

Germline pathogenic variants in the DNA mismatch repair (MMR) genes (Lynch syndrome) predispose to colorectal (CRC) and endometrial (EC) cancer. Lynch syndrome specific tumor features were evaluated for their ability to support the ACMG/InSiGHT framework in classifying variants of uncertain clinical significance (VUS) in the MMR genes. Twenty-eight CRC or EC tumors from 25 VUS carriers (6xMLH1, 9xMSH2, 6xMSH6, 4xPMS2), underwent targeted tumor sequencing for the presence of microsatellite instability/MMR-deficiency (MSI-H/dMMR) status and identification of a somatic MMR mutation (second hit). Immunohistochemical testing for the presence of dMMR crypts/glands in normal tissue was also performed. The ACMG/InSiGHT framework reclassified 7/25 (28%) VUS to likely pathogenic (LP), three (12%) to benign/likely benign, and 15 (60%) VUS remained unchanged. For the seven re-classified LP variants comprising nine tumors, tumor sequencing confirmed MSI-H/dMMR (8/9, 88.9%) and a second hit (7/9, 77.8%). Of these LP reclassified variants where normal tissue was available, the presence of a dMMR crypt/gland was found in 2/4 (50%). Furthermore, a dMMR endometrial gland in a carrier of an MSH2 exon 1-6 duplication provides further support for an upgrade of this VUS to LP. Our study confirmed that identifying these Lynch syndrome features can improve MMR variant classification, enabling optimal clinical care.

Abstract Disclosure: C.S. Pan: None. E. Melson: None. T. Ogiliev: None. D. Zhou: None. S.Y. Ng: None. F. Rezai: None. Z. Olateju: None. E. Radcliffe: None. P. Balendran: None. A. Radcliffe: None. G.M. Lau: None. J. Sheikh: None. H. Kaur: None. C. Cooper: None. F. Abdelhameed: None. F. Pang: None. S. Bhatt: None. D. Shabbir: None. M. Davitadze: None. A. Prete: None. C.L. Ronchi: None. I. Bancos: None. V. Chortis: None. J.D. Newell-Price: None. H.L. Simpson: None. H. Gleeson: None. K. Manolopoulos: None. J. Chu: None. M.W. O'Reilly: None. W. Arlt: None. C. Gillett: None. P. Kempegowda: None. O. SIMBA team: None. Introduction: Simulation via Instant Messaging - Birmingham Advance (SIMBA) is an effective educational platform in increasing clinicians’ confidence in managing various endocrine conditions (Melson, 2020). However, it has lacked input from the patients living with these conditions. We hypothesize that engaging patients and members of the public can inform clinicians to better tailor management to suit the concerns and expectations of patients. Methods: Two virtual simulation sessions covering topics related to Polycystic Ovary Syndrome (PPI-PCOS) and Adrenal conditions (PPI-Adrenal) were organized for clinicians. Nine cases were simulated using anonymized real-life patient data. Members of the general public living with PCOS or Adrenal conditions were recruited from several support groups to undergo a workshop-style discussion to provide their opinions on how representative the cases were and how the management of the condition could be improved. At the end of the simulations, all clinicians and patients were invited to a panel discussion led by expert consultants over Zoom incorporating the summaries from the workshops. Pre- and post-simulation surveys were distributed to measure the change in clinicians’ confidence using Wilcoxon signed-rank test. Thematic analysis was used to identify gaps in knowledge and expectations between clinicians and patients with PCOS or Adrenal conditions. Results: Self-reported confidence by clinicians in the management of PCOS (n=25) and Adrenal conditions (n=23) increased post-simulation (PPI-PCOS simulated:+41.0%, p<0.001; non-simulated:+40.0%, p<0.001. PPI-Adrenal simulated:+22.5% (p=0.0001); non-simulated:+24.0% (p=0.0005)). 90% and 100% of patients agreed PPI-PCOS benefits patients to understand their condition better, and helps clinicians and patients understand each other’s perspectives respectively, whereas this is true for 80% of patients from PPI-Adrenal regarding both aspects. Recurring themes identified through thematic analysis included approach to handling complexities resulting in delayed diagnosis or management, the need for personalized care, lack of information provided to patients with regards to the progression of symptoms, complications or treatment received. Conclusion: PPI-PCOS and PPI-Adrenal were effective in increasing the knowledge and understanding of PCOS and Adrenal conditions for both members of the general public and healthcare professionals. They also helped narrow the gap in knowledge and expectations by exchanging perspectives through a common dialogue. Presentation: Thursday, June 15, 2023

Introduction: Genome-wide association studies (GWAS) have discovered >300 associations for CAD. Few loci are functionally characterized and may represent new mechanisms of disease. Hypothesis: Can an unbiased transcriptional screen for the >2000 candidate GWAS genes in endothelial cells (ECs) identify causal genes and disease-relevant pathways at CAD GWAS loci. Methods: We applied CRISPRi-Perturb-seq to knock down expression of genes within 500 Kb of coronary artery disease GWAS loci (2,300 genes in total) and measure their transcriptomic effects using single-cell RNA-seq. Validation of candidate causal genes was conducted in primary human ECs and zebrafish. Results: We identified 50 programs of co-expressed genes, which represent core cellular pathways (i.e. ribosome biogenesis) and 13 EC-specific pathways such as flow response and angiogenesis. The EC-specific programs show the greatest contribution to CAD heritability. 5 EC-specific programs have the greatest number of GWAS candidate genes. We find that 43 of 306 CAD GWAS signals converge onto these 5 gene programs, and all are regulated by genes in the cerebral cavernous malformations (CCM) pathway—which coordinates KLF2/4 transcriptional responses in endothelial cells, but has not been linked to CAD risk. The strongest regulator of these programs is TLNRD1 , which we show is a new CAD gene and novel regulator of the CCM pathway. TLNRD1 loss-of-function alters actin organization and barrier function in endothelial cells in vitro , and heart development in zebrafish in vivo . Conclusions: High-throughput functional analysis of 2,300 genes proximal to CAD GWAS loci prioritized pathways—such as angiogenesis and EC migration—that are regulated by multiple risk SNPs. Our study identifies new genes that likely influence risk for CAD, identifies convergence of CAD genes into certain pathways in endothelial cells, and prioritizes study of genes in the CCM-signaling pathway for contribution to CAD risk.