Objectives/Goals: To strengthen postdocs’ skills in developing and reviewing competitive proposals, advancing translational research by leveraging core facilities at Indiana University, Purdue University, and the University of Notre Dame, fostering collaboration, and preparing participants of the program for future funding success. Methods/Study Population: The Postdoc Challenge is a state-wide program for postdoctoral scholars across Indiana to gain hands-on experience in developing and reviewing competitive grant proposals. Participants compete for a $5,000 award to use any of the Indiana Clinical and Translational Science Institute (CTSI)-approved core facilities. Through workshops and following NIH guidelines for the review process, participants refine their proposal-writing skills and serve as reviewers for peers’ proposals. The program is designed to support translational research, utilizing the core facilities at Indiana University, Purdue University, and the University of Notre Dame. Participants are trained in grant proposal writing, reviewing using NIH criteria, and engaging in peer discussions, developing critical skills necessary for future funding success. Results/Anticipated Results: Since its launch in 2014, the Indiana CTSI Postdoc Challenge has funded 54 postdoctoral researchers, with 276 applications reviewed. The program has strengthened participants’ grant proposal writing skills and peer review capabilities. Career outcomes include several postdocs securing assistant professor positions and other prestigious roles, such as an Associate Principal Investigator at the National Biodefense Analysis and Countermeasures Center, and a Toxicologist at the CDC. Participants also report enhanced collaboration, greater access to core facilities, and significant career advancement, including support for international postdocs seeking permanent residency. Discussion/Significance of Impact: The Postdoc Challenge has significantly improved postdoctoral researchers’ grant proposal writing and peer review skills, helping them secure faculty and research positions. By fostering collaboration across Indiana’s top universities and utilizing core facilities, the program accelerates translational research and career success.

Objectives/Goals: Diffusion of innovations (DoI) posits that new health-related ideas spread through communities over time and across stages of adoption. We will apply DoI to understand a paradigm shift toward seeing participants as partners in clinical research, specifically through delivery of plain language summaries of results. Methods/Study Population: The return of results in lay language (plain language) to clinical trial participants represents a paradigm shift in the EU and now the USA. We will conduct a systematic review of the implementation of “lay summaries” or “plain language summaries” in different jurisdictions to understand current regulatory influence. We will then review PLS samples and published studies to determine the rate of adoption by industry and non-pharmaceutical company sponsors. Using the DoI framework, groups will be placed in an adopter category. Finally, we will employ an implementation science approach to understand the diffusion process and the translation to participants, laying the groundwork for a culture of change in medical product development. Results/Anticipated Results: Our search on PubMed using key terms “Diffusion of Innovation” and “Plain Language Summary” did not produce any relevant results in the context of clinical trials in the USA, which illustrates a gap in the literature and application of this theory in this context. In the future analyses, we will examine factors influencing the adoption stage and outcomes, such as regulatory action, what best practices have been defined/implemented (if any), culture shifts in the context of clinical research, health communications, and inclusion of patient voices in clinical research. Our analysis will include a network analysis to evaluate characteristics that influence adoption of PLS in clinical research. We hope to identify who is at the forefront of innovation and why. Discussion/Significance of Impact: Novel application of DoI theory will help lay the groundwork for a culture of change in patient-focused drug development, specifically for the dissemination of results to patients. In future studies, we plan to develop a tailored framework for the inclusion of PLS as part of a paradigm shift in the patient-focused drug development process.

Objectives/Goals: Adolescence is a critical period where brain networks are thought to be influenced by environmental factors. This presentation examines violence exposure’s impact on brain connectivity and identifies potential protective factors. Methods/Study Population: A secondary data analysis was conducted using data from a subsample of the Adolescent Brain Cognitive Development Study (release 5.1). Youth who completed victimization questionnaires at two time points were eligible for inclusion, resulting in 2016 participants. Linear regression was utilized to analyze associations between violence exposure measured by the juvenile victimization questionnaire and functional connectivity of specified regions of interests using the Gordon functional parcellation for cortical regions and the Freesurfer parcellation for subcortical regions. Moderation analysis will be utilized to assess the effects of peer and caregiver support on the associations between violence exposure and functional connectivity, currently ongoing. Results/Anticipated Results: Between 18 and 59% of the sample reported experiencing at least one form of violence exposure, with racial differences noted in missing versus complete data. Multiple domains of violence and cumulative exposure were associated with both increased and decreased functional connectivity across within-network, between-network, and network-subcortical regions. At baseline, internet violence was linked to lower within-network connectivity, while peer victimization was associated with higher connectivity at both baseline and follow-up. Between network analysis showed lower connectivity with witnessing violence at baseline and higher connectivity with internet victimization at follow-up. Discussion/Significance of Impact: These findings emphasize the need for further exploration of the underlying mechanisms that link violence exposure to developmental trajectories and identification of protective factors such as caregiver and peer support, to inform interventions and promote resilience in affected youth.

Objectives/Goals: Second-generation antipsychotics (SGA) are used to treat mental disorders in youth but are linked metabolic syndrome (MetS). Most data on prescribing practices and risk factors are from short-term studies (6–12 months). We aim to characterize prescribing and identify clinical and genetic predictors of MetS using electronic health records (EHR). Methods/Study Population: EHR data were extracted from Cincinnati Children’s Hospital Medical Center (CCHMC) for patients aged ≤21 years prescribed SGAs from 7/1/2009 and 7/1/2024, identifying prescribing prevalence. Next steps are to create an SGA-MetS case–control dataset 8 weeks after an SGA prescription. A case will be defined by meeting 3 of 5 criteria: 1) BMI ≥95th percentile for age/sex; 2) fasting glucose ≥100 mg/dL or use of anti-diabetics; 3) triglycerides ≥110 mg/dL; 4) HDL-C ≤40 mg/dL; 5) systolic/diastolic BP ≥90th percentile for age/sex or use of antihypertensives. The prevalence of SGA-MetS will be calculated by dividing SGA-MetS cases by total SGA users. Logistic regression will identify clinical predictors of MetS, and we will evaluate the association of polygenic risk scores (PRS) of BMI and type 2 diabetes with SGA-MetS risk. Results/Anticipated Results: Our preliminary analysis identified 30,076 patients who were prescribed SGAs (mean age 12 years, SD = 4; 58.8% female; n =  17685). Most self-identified as non-Hispanic (95%, n = 28,595) and of White race (76%; n =  22,935), with 18.5% self-identifying as Black or African American (n = 5,579). The most commonly prescribed SGAs were risperidone (n = 12,382, 41.1%), aripiprazole (n = 9,847, 32.7%), and quetiapine (n = 5,263, 17.5%), with much lower prescribing rates of other SGA known of their low risk of MetS (e.g., ziprasidone 5.5%, lurasidone 1.4%, paliperidone (n = 316, 1.1%), or others cariprazine (n = 72), asenapine (n = 43), brexipiprazole (n = 39), iloperidone (n = 24), and clozapine (n = 20). Discussion/Significance of Impact: Our analyses found that risperidone, quetiapine, and aripiprazole were the most prescribed SGA, with risperidone/quetiapine linked to a higher risk of MetS. We will present ongoing work identifying risk factors for SGA-MetS and examining the association with PRS. Our work has the potential to identify high-risk patients for personalized treatment.

Objectives/Goals: To develop a personalized computational framework integrating computational fluid dynamics (CFD) and topology optimization for designing intracranial aneurysm implants. The primary objective is to reduce intra-aneurysmal blood flow velocity and enhance thrombus formation for improved treatment outcomes. Methods/Study Population: Patient-specific aneurysm geometries were extracted from pre-treatment rotational angiograms. A CFD-driven topology optimization framework was employed to design implants that reduce intra-aneurysmal flow velocity. The fluid dynamics were modeled using Navier–Stokes equations and the structural integrity of the implants was ensured by linear elasticity equations. The solid isotropic material with penalization (SIMP) method was applied to optimize the implant’s porous architecture, balancing flow reduction with structural support. COMSOL Multiphysics software was used to implement the optimization. Results/Anticipated Results: The optimized implants demonstrated significant reductions in intra-aneurysmal blood flow velocity and improved hemodynamic conditions. Flow velocity within the aneurysm was reduced by 77%, and the fluid energy dissipation ratio showed a 78.9% improvement compared to pretreatment conditions. The optimized porous structures were tailored to the aneurysm’s specific geometry, providing personalized designs that improve flow stasis and thrombus formation. Further validation of the implants will be performed in vitro and in vivo to assess their effectiveness and biocompatibility. Discussion/Significance of Impact: This personalized implant design framework could lead to better treatment outcomes by reducing aneurysm recurrence and complications compared to current devices. It provides a pathway for improved occlusion rates and patient-specific solutions for intracranial aneurysms.

Objectives/Goals: This study aimed to explore Puerto Rican adolescents’ mental health experiences, focusing on risk and protective factors, and cultural perspectives on mental health. Methods/Study Population: Three focus groups were conducted: two with 20 adolescents aged 12 to 18 years of both genders and one with five adults who work with adolescents. Data were analyzed using interpretative phenomenological analysis. Results/Anticipated Results: The majority of participants in both groups of adolescents identified five key themes: social pressures, barriers to discussing mental health, the impact of social media, coping strategies, and institutional interventions. The adult focus group highlighted adolescent mental health problems, support systems, family and social factors, the church’s role, and recommended interventions. Discussion/Significance of Impact: The findings emphasize that social and familial pressures, mental health stigma, and social media significantly impact adolescent mental health. Coping strategies, such as sports, art, and nature, were also identified. These themes underscore the need for safe, supportive spaces, and targeted approaches to address youth mental health.

Objectives/Goals: Identifying and indexing rare disease studies is labor intensive, especially in research centers with a large number of trials. To address this gap, we applied natural language processing (NLP) and visualization techniques to develop an efficient pipeline and user-friendly web interface. Our goal is to offer the rare disease study identification (RDSI) tool for adoption by other sites. Methods/Study Population: The RDSI retrieves study information (short and long titles, study abstract) from the IRB system. These descriptive fields are then processed by the MetaMap Lite NLP program for identifying disease terms and standardizing them to UMLS concepts. By terminology identifier mapping, the diseases intersecting with concepts in rare disease databases (Genetic and Rare Disease program and Orphanet) are further scored to pinpoint studies that focus on a rare disease. The web interface displays a scatter bubble chart as an overview of all the rare diseases, with each bubble size proportional to the number of studies for that disease. In addition to the visual navigation, users can search studies by disease name, PI, or IRB number. Search results contain detailed study information as well as the evidence used by algorithms of the pipeline. Results/Anticipated Results: The RDSI identification results and functions were verified manually and spot-checked by several study investigators. The web interface is a self-contained solution available to our staff for various use cases like reporting or environment scan. We have built in a versioning mechanism that logs the date of each major result in the process. Therefore, even as the rare disease data sources evolve over time, we will be able to preserve any historical context or perform updates as needed. The RDSI outputs are replicated to Mayo Clinic’s enterprise data warehouse daily, allowing tech-savvy users to leverage any useful intermediate results at the backend. We anticipate the performance of the rare disease identification to be further enhanced by employing the advancements in AI technology. Discussion/Significance of Impact: The RDSI represents an informatics solution that offers efficiency in identifying and navigating rare disease clinical studies. It features the use of public databases and open-source tools, manifesting return on investment from the broad translational science ecosystem. These considerations are informative and adoptable by other institutions.

Objectives/Goals: To assess the impact of the MATCH Program on mentees and mentors over the years, we have surveyed both groups on the effectiveness of the mentorship process, how the MATCH program influenced mentees’ future career plans, and their ongoing interest in clinical research. Methods/Study Population: To evaluate impact on mentees and mentors in the most recent cycle, we fielded two program evaluation surveys, for mentors and mentees. The surveys were distributed and collected using Qualtrics in May 2024. The mentee survey collected data on relationship with mentors, quality of mentorship, future career/education plans, and self-assessment of the program impact. The mentor survey collected data on relationship with mentees, mentees’ engagement, and a self-assessment of the program impact. Qualitative analysis was conducted to determine key themes expressed by participants. The responses were compared to assess the effectiveness of the mentoring relationship from both parties. Results/Anticipated Results: Respondents included 15/20 (75%) mentees and 15/20 (75%) mentors. All mentees (100%) and mentors (100%) stated they would like to continue their relationship outside of the program. The majority of mentees 13/15 (87%) and mentors 13/25 (87%) also viewed their mentee/mentor relationship to be excellent or good. Most mentors 10/15 (67%) stated it was their first time serving as a mentor for the program. Mentees also found their experience in the program very beneficial with 6/15 (40%) stating that MATCH changed their career plans. In addition, most mentees 14/15 (93%) indicated that they are community college or four-year college/university bound. Most mentees 11/15 (73%) indicated an interest in pursuing a health or medical career. Also, 10/15 (67%) mentees stated an interest in pursuing a career in research. Discussion/Significance of Impact: Both mentees and mentors have benefited from the program’s daisy chain mentoring and the program has helped facilitate a potential lifelong mentorship between mentees and mentors. The program also demonstrates promise of developing a pre-health pathway for historically underrepresented students in STEM.

Objectives/Goals: Originally presented at TS24, we would like to discuss follow-up outcomes and preliminary findings“Building Empowerment Through Fitness” – objectives were designed to address the “whole women” in underserved segments of the population in impoverished and/or underprivileged communities with fewer opportunities and promote economic mobility. Methods/Study Population: A qualitative study design to understand unique cultural context and challenges faced by women residing in the Birmingham Housing Authority, regarding physical activity engagement, including sedentarism. The needs assessment approach examined barriers, support systems, and social networks. Semi-structured, pre, mid, and post program focus groups explored challenges and opportunities for health, such as diet and exercise, and are being analyzed by hand with a thematic analysis. The project framework used movement, home repair tools with a life-building/life repair curriculum to influence self-efficacy and program engagement. The study enrollment included 51 women over two cohorts in a 12-week project. Results/Anticipated Results: Preliminary are results showed the women did face heightened health risks due to sedentary lifestyles, educational gaps, and socioenvironmental barriers. We incorporated tool skills, healthy lifestyles, and social/emotional focus group to explore social/emotional perceptions, concerns, and needs. Although our results were on target, there were some unexpected outcomes related to family dynamics, literacy, housing stability, and peer support. Discussion/Significance of Impact: Women are more likely to be sedentary and have poor health. BeFit served as a solution to addressing problems related to economic mobility barriers, poor health, sedentariness, and low self-esteem/self-efficacy. Additionally, exercise/movement programs can be a powerful tool to address disparities and help prioritize health.

Objectives/Goals: The Research Education and Community Health (REACH) coalition proposes to develop the infrastructure for continuous and comprehensive collection of community health data to drive programs, education, and funding priorities across municipal agencies, institutions, and nonprofit organizations in Galveston County. Methods/Study Population: The workgroup through REACH will organize and adopt a comprehensive community health needs assessment that 1) accumulates existing, readily available data for shared use (e.g., Center for Health Care Data at the UT School of Public Health, the Texas Department of State Health Services Center for Health Statistics, and Epic Cosmos, a data aggregation tool, used by UTMB and other health systems to improve patient care); 2) utilizes data collected throughout the community (i.e. non-profits, municipal agencies, and law enforcement); and 3) applies qualitative data from focus groups and/or key informant interviews, so we can hear directly from community members about what their needs are. By doing so, we hope all can benefit from having access to current and relevant data to drive our programs, education, and funding. Results/Anticipated Results: This Community Health Needs Assessment is being coordinated by a diverse workgroup including community organizations, researchers, and policy makers who will benefit from access to current and relevant data. The Galveston Youth Risk Student Survey, completed every three years and most recently in 2024, revealed lingering health and mental health effects of the COVID-19 pandemic on County youth. This highlighted the need for community access to current, accurate, and ongoing data to drive programming, interventions, and education. The REACH Coalition, made up of 23 UTMB Centers and Institutes and 39 community organizations, is spearheading this effort as a part of its mission to facilitate collaborative research, service, and educational efforts. Discussion/Significance of Impact: Collected data will be used to establish and support ongoing, coordinated interventions in response to identified needs. Shared ownership of data and project implementation optimizes resources and reduces gaps and/or redundancy in community programming.

Objectives/Goals: Professional coaching greatly enhances faculty personal and professional development through fostered empowerment and a culture of continuous growth within the academic environment. The UMN Clinical and Translational Science Institute (CTSI)’s coaching program provides a variety of coaching formats (1:1, group, special programs). Methods/Study Population: CTSI provides professional coaching to faculty in the KAP, K12, KL2, and K-R01 and NLITeS programs. Typically, coaching begins with a HoganLead™ assessment and debrief. Scholars may pursue further coaching through individual sessions (up to 6 sessions during or 1-year post CTSI award) or a monthly peer coaching group facilitated by certified coaches. New URM faculty hires in the Early Career Research Awards (ECRA) program receive monthly coaching support to problem solve and attend to wellbeing. The NLITeS leadership development program for senior and mid-career faculty includes the HoganLead debriefing and 1–2 individual coaching sessions. All sessions are confidential. Results/Anticipated Results: Since 2016/2017, 80 scholars have taken the HoganLead assessment (72 debriefs), and 23 scholars have made use of 217 individual coaching sessions (most use between 6 and 12). Since 2021, 10 Scholars have participated in the Peer Coaching Group with 7 continuing over multiple years. Since 2021, 12 ECRA scholars have been supported in monthly coaching. Frequent coaching topics include self-awareness, work-life balance, overwhelm, negotiation, and leaving academic medicine. Scholar comments include: “I initially approached this professional coaching with some curiosity but fairly minimal expectations that it would change much. It has reshaped the way I approach my academic career and its associated challenges for the better, giving me confidence that I can handle the unique challenges that this career presents…” Discussion/Significance of Impact: The UMN CTSI coaching programs are extensively used and highly valued by participating faculty. Professional coaching with Hogan assessments provides faculty scholars with support that complements the mentoring they receive by going beyond a teach and learn model.

Objectives/Goals: The overall goal of this project is to determine bacterial transcriptional signatures from clinical sputum and assess their potential to monitor treatment response and predict the outcome of drug therapy in patients with tuberculosis (TB). Methods/Study Population: We are developing a novel transcript capture sequencing (TC-Seq) approach to sequence the mRNA of Mycobacterium tuberculosis (Mtb) and analyze transcriptomes from clinical samples containing minimal amounts of bacterial RNA. This protocol generates single-stranded biotinylated probes from Mtb DNA. Probes are hybridized to and allow enrichment of Mtb-specific mRNA within next-generation RNA sequencing libraries. We will apply TC-Seq to sputum samples collected throughout an 18-month Phase II clinical trial investigating response to TB treatment to compare the transcriptome of Mtb between patients whose treatment results in cure or relapse. Results/Anticipated Results: We have refined a technique to generate biotinylated probes starting from DNA of lab grown Mtb. This protocol achieves robust and unbiased sampling of the Mtb transcriptome from mixed samples containing both human and Mtb RNA. Preliminary sequencing of clinical sputum collected pretreatment has generated 1–4 million Mtb-specific reads, a sequencing depth that allows examination of the entire bacterial transcriptome. We will measure differential gene expression before and during treatment as well as between cure and relapse cases. These results will allow us to characterize bacterial response to treatment and identify bacterial markers that correlate with relapse. Discussion/Significance of Impact: Understanding Mtb activity during treatment will offer new ways to assess the efficacy of different treatment regimens. Crucially, identifying clear bacterial markers that demarcate a cure or relapse outcome will have a significant impact on determining patient eligibility for shorter drug therapy.

Objectives/Goals: Intra-amniotic inflammation (IAI) is one of the leading causes of maternal/fetal morbidity globally, yet it is undiagnosed in 90–95% of cases. The purpose of this study was to assess precision and accuracy of a novel microsampling device for measuring cytokines in amniotic fluid (AF) to enable noninvasive evaluation of localized inflammation. Methods/Study Population: AF was obtained from discarded amniocentesis samples from 3 deidentified patients without known inflammation. Samples were spiked to 5 concentrations of interleukin-6 (IL-6) and tumor necrosis factor-a (TNF-a), then sampled using the Neoteryx Mitra volumetric microsampling device (20 µL). Dried/reconstituted samples were analyzed using the Luminex R&D Mag XL multiplex (IL-6, TNF-α) and compared to free-flowing AF. Inter-and intra-assay performances were evaluated across 5-runs in 3 standard cytokine concentrations. Recovery/linearity was assessed by a recovery curve and parameter estimates. Precision was assessed between-run and within-run using coefficients of variance (%CV). Accuracy was evaluated as agreement between microsampled and free-flowing AF using Bland–Altman plots. Results/Anticipated Results: TNF-α results were linear for all 3 patients across 5 concentrations. However, accuracy and recovery consistently failed (mean±SD percent recovery 176±21%). TNF-α results had acceptable precision with %CV within-run of 6.8–12.1% and across-runs of 14.0–15.9%. Microsampled TNF-α agreed with free-flowing sample: 16 of 18 (89%) were within 1SD of the mean difference (-24±36 pg/ml). IL-6 results were linear for 1/3 patients and had unacceptable accuracy and recovery for 13/15 samples (mean±SD percent recovery 764±469%). IL-6 results had acceptable precision (%CV within-run 6.2%, 7.5% and 11.2%; across-run .9–15.2%). Microsampled IL-6 agreed with free-flowing sample; 17 of 18 (94%) were within 1SD of the mean difference (-148±180pg/ml). Free-flowing vs. microsampling methods agreed best at low concentration. Discussion/Significance of Impact: This study provides preliminary support for noninvasive measurement of cytokines leveraging small amounts of leaking AF providing a promising alternative to amniocentesis and potential for assessing inflammation intrapartum. Clinical application requires development of reference ranges and association between cytokine levels and outcomes.

Objectives/Goals: Our team has developed a 24-well donor-derived skeletal muscle microphysiological system (MPS) to study signaling pathways associated with a variety of muscle diseases. 3D muscle will be utilized to evaluate pharmacologic interventions for these muscle conditions to improve both muscle mass and function. Methods/Study Population: In this study, muscle MPS were formed from healthy young female and male subjects. 3D muscle underwent a 21-day differentiation with an electrical stimulation (e-stim) regimen twice daily beginning on Day 14. Functional assessments in permeabilized fibers of both sexes included isometric and isotonic calcium-induced contractions, allowing for the characterization of force-pCa (-log[Ca2+]), force-velocity and force-power relationships. Samples from Day 17 and Day 21 will be assessed for pro-growth protein signaling via western blotting and a subset of samples will be analyzed by histology and microscopy for fiber type and size. Finally, culture media pre- and post-terminal e-stim on Day 21 will be collected for extracellular vesicle (EV) isolation and EVs will be assessed by standard proteomics analysis. Results/Anticipated Results: Permeabilized fibers from both sexes reproduced the well-established sigmoidal force-pCa and the curvilinear force-velocity and force-power relationships reported in native striated muscle. Maximum specific force and force-pCa relationship were not different between sexes. Isotonic contractile measurements revealed that these male and female fibers also exhibit similar force-velocity and force-power relationships. We anticipate that 3D muscles from day 17 compared to day 21 will exhibit higher levels of pro-growth protein signaling due to e-stim application and no differences in fiber type or size between sexes. Additionally, we expect that EV quantity will depend upon 3D muscle maturity and presence of e-stim. Discussion/Significance of Impact: This study demonstrates the similarities of functional characteristics and exercise (or e-stim) adaptation between native human skeletal muscle and 3D bioengineered skeletal muscle. Ultimately, this data further validates the muscle MPS system to study muscle diseases and to enhance the translation of therapeutics to clinical settings.

Objectives/Goals: This study aims to gather user feedback from clinical research professionals on the usefulness and relevance of regulatory resources found on a new regulatory web portal, OpenRegSource, to enhance its usability, thereby advancing this project from the initial to the full implementation phase of the implementation science framework. Methods/Study Population: The Regulatory Knowledge and Support core of the Southern California Clinical and Translational Science Institute developed a regulatory web portal called OpenRegSource to help researchers gain basic regulatory information prior to professional and/or paid consultation. Before publicly launching, a virtual focus group (FG) composed of 21 members of the local clinical research workforce was given two weeks to explore the web portal and answer three surveys. Two other research professionals also gave feedback outside of the focus group. The user feedback data was analyzed and discussed by the web portal project team. Updates were then made accordingly. Once the portal was launched, a plan was implemented to collect usage metrics and additional feedback for continuous improvement. Results/Anticipated Results: Of the 21 FG participants, 20 completed the feedback survey specifically for their experience with the web portal. 65% (13/20) said the number of resources was just right. 90% (18/20) found the resources to be very relevant to their respective topics. 85% (17/20) found the resources very useful and somewhat useful to their daily work activities. 75% (15/20) found the organization of the portal to be good or very good. 85% (17/20) found it very easy and somewhat easy to navigate the web portal. 90% (18/20) found the portal to be effective in providing its audience with a basic understanding of regulatory requirements. 95% (19/20) found the portal useful for novice research professionals. 85% (17/20) found the web portal useful overall. Participants were also able to provide commentary feedback for specific pages. Discussion/Significance of Impact: Obtaining stakeholder input during the development of a resource or tool is essential to ensure the final product meets user needs and is effectively utilized. In this case, involving the feedback of clinical researchers will help improve OpenRegSource to better facilitate the advancement of their work.

Objectives/Goals: Micro-credentialing programs provide a rapid solution to the growing shortage of clinical research professionals (CRPs) by expanding the applicant pool and improving training efficiency. This study evaluates the impact of a micro-credential course on CRP education and its potential to reduce staffing shortages. Methods/Study Population: To address the CRP staffing shortage, new and existing clinical research staff at the Rutgers Cancer Institute of New Jersey (CINJ) participated in a micro-credential badging course developed by NJ ACTS and Rutgers’ Master’s in Clinical Research Management Program. The course focused on key clinical research topics designed to equip participants with foundational knowledge. Post-completion, surveys were administered to both participants and CINJ management to assess the program’s effectiveness. The survey measured perceived knowledge gains, interest in further opportunities, and the program’s potential to alleviate staffing shortages. Survey results were analyzed to determine the program’s overall impact on CRP education and staffing challenges. Results/Anticipated Results: Survey results demonstrated significant knowledge gains among participants, with 85% reporting increased confidence in clinical research topics after completing the micro-credential course. Additionally, 70% of participants expressed interest in pursuing further opportunities in the field. CINJ management reported smoother onboarding processes and noted an improvement in job readiness among new hires. The CRC Badge has since been integrated into CINJ’s formal onboarding process. Overall, the micro-credential program contributed to expanding the CRP applicant pool, improving training efficiency, and offering a short-term solution to alleviate staffing shortages. Discussion/Significance of Impact: This research demonstrates the effectiveness of micro-credentialing in addressing the critical shortage of CRPs. By rapidly equipping staff with essential knowledge, the program broadens the applicant pool, enhances onboarding, and offers an immediate solution to workforce gaps.

Objectives/Goals: Trainees in clinical and translational science (CTS) must learn to effectively communicate their research ideas and findings to a range of audiences. As part of our science communication curriculum, we developed ORAL and WRITTEN science communication rubrics for our trainees to use across their courses and research activities. Methods/Study Population: The Tufts CTS Graduate Program is the training core of the Tufts CTSI and its associated pre- and post-doctoral T32 awards. Approximately 10 trainees with a range of backgrounds (e.g., physicians, medical students, master’s-level researchers, and basic science PhDs) matriculate each year. Faculty members and staff with expertise in science communication and pedagogy formed a committee to develop the rubrics. Because oral and written communication require different skills, we developed separate rubrics for each. We reviewed our current science communication curriculum, reviewed existing communication rubrics, and identified common mistakes students make. Following pilot testing by students and faculty pilot for one semester, we modified the rubrics based on informal feedback. Results/Anticipated Results: Both rubrics include a section to identify the target audience and specific items organized by theme. Oral rubric themes include presentation content, slides, verbal communication, nonverbal communication, and following instructions. Written rubric themes include overall, manuscript/proposal sections, and following instructions. The rubrics serve as feedback tools for faculty and students to evaluate work others produce and as self-evaluation tools. Feedback elements include a 4-point rating for each rubric item, open text feedback for each theme, and an open text holistic assessment. We now use the rubrics in our study design course, which features student presentations of planned research, and in our writing course. We anticipate collecting formal student feedback to further evaluate the rubrics. Discussion/Significance of Impact: Our rubrics can supplement existing science communication training and can be integrated into all CTS coursework and research activities. For future clinical and translational scientists to have the greatest impact, they must learn to effectively communicate findings to multiple audiences, ranging from experts in their field to the general public.

Objectives/Goals: Gait performance (GP) and global cognitive functions (GCF) are both critical for maintaining independence and quality of life in senior adults. Recent studies have explored the potential link between GP and GCF, encompassing executive functions. Methods/Study Population: PRISMA guidelines will govern this systematic review. This systematic review synthesizes published research from 2000 to 2024, including peer-reviewed articles, pilot studies, and randomized controlled trials, to examine the relationship between GP (how a person walks and stands) and GCP in older adults. The exclusion criteria will be based on studies focused on physical activities unrelated to balance, meta-analysis, and systematic reviews and those published in languages other than English or Spanish. Results/Anticipated Results: Our preliminary data indicate that gait, or walking speed, is significantly correlated with GCP in older adults, with slower walking associated with poorer global cognition. Specifically, gait speed during dual-task walking shows a strong correlation with working memory (p < .001) and processing speed (p < .05) in individuals aged over 60 years. Gender differences were observed, with women over 80 walking slower than men over 85 years, who walked faster, and women exhibited poorer global cognition than men. Discussion/Significance of Impact: Overall, a gait slowing between 0.68 and 1.1 m per second could predict a marker for the risk of developing dementia, indicating that monitoring gait speed in older adults may provide early warning signs, allowing for timely interventions. Enhancing GP and GCF can improve the quality of life and independence in older adults. Acknowledgments: Research supported by NIH: Award Number HCTRECD R25MD007607 from the NIMHD.

Objectives/Goals: Here, we utilize deep learning to automate the analysis of dual X-ray absorptiometry (DEXA) scans in the UK Biobank (UKB) imaging dataset to enable a large-scale assessment of lumbar spine disc degeneration, low back pain, and socioeconomic status. Methods/Study Population: Study Population: The UKB is a biomedical database that includes lateral spine DEXA imaging for 50,000 participants. Deep Learning Model Development: A computer vision model was developed that receives a DEXA scan as input and outputs a quadrilateral that corresponds to the corners of 5 lumbar vertebral bodies. The model is a deep, fully convolutional, encoder–decoder network using DeepLabV3. Statistical Analysis: To determine our preliminary model accuracy, we used the intersection over union (IoU) metric.We analyzed data using an ordinal regression model to determine the relationship between income/ neighborhood level multiple deprivation index (MDI) and low back pain (LBP), as well as a mixed effects model to estimate the relationship between income/MDI and disc height index (DHI). Results/Anticipated Results: Our model predicted vertebral body quadrilaterals in training and unseen test data (train IoU  =  0.96, test IoU  = .91) and was used to infer data for 10,440 participants. Confirming previous studies, there were significant relationships (p0.05) between income or MDI and DHI (Figure 2). Discussion/Significance of Impact: Low back pain is the world’s leading cause of disability, and socioeconomic factors play an important role. We found no relationship between disc height index and socioeconomic status. Thus, disc degeneration may not be a factor in this low back pain phenotype.

Objectives/Goals: Personalized cancer therapy based on genomic testing is advancing patient care. Genomic alterations in fibroblast growth factor receptor (FGFR) predict response to FGFR inhibitors; however, the role of RNA expression and protein activation is not known. We propose to examine the phospho-proteomic signature in FGFR-altered cancers to identify new candidates for FGFR-targeted therapies. Methods/Study Population: In our preliminary study, we have curated a cohort of FGFR2 mutants (13 FGFR2-fusions and 4 FGFR2 point mutations) with known clinical outcomes to FGFR inhibitors and 8 FGFR2 wild-type (WT) cholangiocarcinoma tumor samples to investigate the phospho-proteomic fingerprint using a clinical grade reverse phase protein array (RPPA). RPPAs are high throughput quantitative antibody-based proteomics assays that can quantify hundreds of proteins in thousands of patient tissues providing a high degree of sensitivity through laser tumor microdissection (LCM). We have selected proteins in the FGFR signaling pathway including FGFR2, AKT, ERK1.2, STAT1/3, FRS2, and PLCg to define the range of phospho-proteomic signal between FGFR2 WT and mutant cancers. All samples will undergo evaluation with RNASeq for gene expression. Results/Anticipated Results: Our initial analysis defined the range of RNA expression of FGFR2 and pFGFR2 protein signal (Y653/654 and Y769) between FGFR2 WT and FGFR2 mutant samples. On average, the FGFR2 mutant cohort displayed higher FGFR2 RNA expression compared to the FGFR2 WT cohort. There is no apparent correlation between RNA expression and clinical response to FGFR-targeted therapy. However, in this small cohort, there is no significant difference in FGFR2 phosphorylation between FGFR2 WT and mutant cancers. RPPA analysis of FGFR downstream signaling proteins reveals a wide range of phosphorylation, but no significant difference between FGFR2 WT and mutant cancers. Discussion/Significance of Impact: These findings illustrate the complexities of FGFR signaling between FGFR2 WT and mutant cancers. These data suggest that tumors with genomically WT FGFR may display increased pFGFR2 and downstream signaling phospho-proteins. We propose a larger study of cholangiocarcinoma to evaluate evidence of FGFR pathway activation in WT tumors.