Citations

Abstract Advances in sequencing technologies have led to availability of huge amount of genomic data. However, accessing and hosting such data needs significant amount of expertise to deploy and manage existing tools. To circumvent this, we developed a comprehensive portable tool, galEupy, a lightweight and scalable platform that makes genome data management and visualization seamless. galEupy encompasses a compact schema capable of capturing all genome feature information in a layered format. The user interface is empowered with a genome browser and data query features for retrieval of meaningful information. galEupy can be deployed with simple commands into a full-fledged genome data warehouse within minutes. Subsequent to installation, the system can be populated with any genomic data and its annotation by launching the data loader. The data loader automatically parses the data and creates appropriate relationship within the data and populates the tables. galEupy can parse and upload medium sized genome and its annotation in minutes. Other features of galEupy includes data analysis tools and metabolic pathway visualization. By combining speed, usability, and flexibility, galEupy bridges the gap between genome data generation and meaningful biological insights, offering a practical solution for researchers working with a wide range of organisms.

Background: Tremor in multiple sclerosis (MS) is often refractory to medications. Deep brain stimulation (DBS) may help, but possible side effects and disease exacerbation limit its use. Objectives: Evaluate outcomes of DBS for MS-associated tremor. Methods: Retrospective review of 18 patients with MS-associated tremor who underwent DBS, analyzing Expanded Disability Status Scale (EDSS) and Fahn–Tolosa–Marin (FTM) tremor scores. Results: Median age at surgery was 49.5 years (range, 28–75), with postoperative follow-up 2.5 years (range, 0–22). No relapses (0/18) or new lesions (0/8) occurred postoperatively. All had ventral intermediate nucleus leads; other targets were not used in programming. EDSS remained stable (median 6 to 6.25; p = 0.2). FTM scores improved (median 14.5 to 10, p = 0.008). Patients with EDSS 3.5–6 had variable outcomes ( p = 0.02). Conclusions: DBS is a potential treatment for severe MS tremor and did not provoke relapse. Targeting VIM alone may optimize tremor control and maintain magnetic resonance imaging (MRI) access.

BACKGROUND: The current study aims to describe outcomes after transcatheter valve replacement in adults with congenital heart disease. METHODS: Retrospective study of adults with congenital heart disease who underwent transcatheter valve replacement and had a 1-year follow-up postintervention at Mayo Clinic (2010–2024). The study period was divided into early (2010–2014), mid (2015–2019), and late (2020–2024) eras. The primary outcome was valve reintervention. The secondary outcomes were all-cause mortality and temporal change in prosthetic valve gradient and clinical indices of disease severity. RESULTS: Overall, 341 patients (age 38±17 years; 175 [51%] men) received 346 prostheses (pulmonary [N=236, 68%], tricuspid [N=75, 22%], aortic [N=22, 8%], and mitral [N=7, 2%]). The prostheses were Sapien (N=181, 52%), Melody (N=142, 41%), and Harmony prostheses (N=23, 7%). The number of transcatheter valve implantations increased from the early era (N=75), mid era (N=109), to the late era (N=162). The 10-year incidence of valve reintervention was 35%, and was similar between Sapien versus Melody prosthesis (41% versus 33%; P =0.11). The 10-year incidence of all-cause mortality was 13%. There was a temporal increase in prosthetic valve Doppler mean gradient (baseline versus 10 years) for pulmonary (12±5 versus 28±11 mmHg; P <0.001), tricuspid (3±1 versus 8±3 mmHg; P <0.001), and aortic prosthesis (13±5 versus 26±12 mmHg; P <0.001). There was a temporal increase in predicted peak oxygen consumption (absolute ∆, 9% [95% CI, 4–13]; P =0.006) and a decrease in NT-proBNP (N-terminal pro-B-type natriuretic peptide) level (absolute ∆, −138 pg/mL [95% CI, −209 to −64]; P <0.001) at 1-year postintervention. CONCLUSIONS: There has been a temporal increase in the number of transcatheter valve implantations over time. Transcatheter valve replacement was associated with clinical improvement across multiple domains. However, there was a significant increase in prosthetic valve gradient within 10 years of follow-up, suggesting limited prosthesis longevity. There is a need for strategies to improve prosthetic valve longevity, which in turn may improve outcomes in this population.

Prostate cancer (PCa) progression is driven by intricate molecular mechanisms involving dysregulated signaling networks and posttranslational modifications of key regulatory proteins. In this study, we identify a novel oncogenic pathway wherein cyclin-dependent kinase 12 (CDK12) physically interacts with and phosphorylates forkhead box A1 (FOXA1) at serine 234 (S234). Phosphorylation at this residue markedly enhances FOXA1 transcriptional activity, leading to up-regulation of downstream targets including murine double minute 2 (MDM2), a critical negative regulator of the p53 tumor suppressor. Mechanistically, this CDK12–FOXA1–MDM2 axis destabilizes p53, attenuates apoptotic signaling, and promotes PCa cell survival and proliferation. Therapeutic targeting of CDK12 using the small-molecule inhibitor THZ531 or RNA interference effectively abrogates FOXA1 phosphorylation, restores p53 stability, reactivates apoptotic pathways, and suppresses tumor growth. Notably, the identification of S234 as a functional phosphorylation site in FOXA1 reveals a previously uncharacterized posttranslational regulatory mechanism in PCa biology. These findings establish the CDK12–FOXA1–MDM2 axis as a pivotal driver of PCa progression and underscore the therapeutic potential of targeting FOXA1 phosphorylation to restore tumor suppressor function and induce apoptosis in PCa. Our work provides a mechanistic framework for developing precision therapies aimed at disrupting this oncogenic cascade in PCa.

OBJECTIVES The Pediatric Emergency Care Applied Research Network (PECARN) cervical spine injury (CSI) clinical prediction rule (CPR) was developed to reduce unnecessary imaging in pediatric trauma patients and ensure accurate diagnosis. This study aimed to identify barriers and facilitators to future implementation of this rule in diverse emergency department (ED) settings. METHODS We conducted 40 interviews with 48 clinicians, including ED physicians, surgeons, nurses, and advanced practice providers at 21 health care facilities across the United States. Semistructured interviews explored determinants impacting implementation, guided by the Tailored Implementation for Chronic Diseases (TICD) framework. We conducted a deductive thematic analysis using the TICD domains as a priori codes. Three researchers independently coded the transcripts and identified key themes aligned with the TICD framework. RESULTS Barriers included limited guideline accessibility, workflow disruptions, and inconsistent integration with electronic health records. Clinicians’ concerns regarding the applicability and adherence to guidelines were also significant. Facilitators identified included institutional support, stakeholder engagement, and targeted education that addressed knowledge gaps. Implementation strategies varied by context, with suggestions for electronic health record-based decision tools in resource-equipped facilities and external aids, such as pocket cards, in lower-resource settings. Addressing legal concerns, clinician resistance, and workflow alignment emerged as critical priorities. CONCLUSION Implementing the PECARN CSI CPRs requires addressing contextual barriers such as workflow challenges, clinician adherence, and technology integration. Context-sensitive strategies are essential for successful adoption and improved decision-making in pediatric trauma care. Future research should evaluate the impact of these strategies on clinician behavior and patient outcomes.

ABSTRACT As artificial intelligence (AI) continues to rapidly reshape health care, there is a critical need for clear frameworks for clinicians to ensure ethical, equitable, and effective integration and use of AI in patient care. Key integrations of AI include enhancing health communications, patient engagement, clinicians' training, pharmaceutical advertising, clinical decision‐making, and automation of clinical operations and workflow. However, there are growing concerns related to regulatory gaps, the spread of misinformation, security threats, patient and data privacy leaks, and widening health disparities gaps. These concerns are exacerbated by limited institutional infrastructure and limited AI literacy of clinicians and patients. Recent policy developments reflect efforts to guide responsible AI development and use. While progress has been made, the lack of standardized human oversight remains a critical gap, particularly as policies may not fully consider the challenges and complexities at institutional, societal, technical, and individual levels. Thus, herein, the Drug Information Practice and Research Network (DI PRN) of the American College of Clinical Pharmacy (ACCP) : (1) explores current and emerging multifaceted challenges, a call to action, and opportunities of AI integration in health care including examination of the regulatory, ethical, operational, and health equity implications; and (2) provides practical recommendations for responsible use of AI through DI PRN‐developed example case‐based approaches and best practices infographics to enhance AI literacy for diverse learners including clinicians, trainees, and patients. This DI PRN opinion paper highlights the importance of proactive governance frameworks and equips and empowers diverse learners with practical AI literacy tools to confidently engage with AI technologies in patient care.