Objectives/Goals: Multiple sclerosis (MS) is an autoimmune disease located within the central nervous system. Evidence suggests nutrition may affect MS progression, but intervention research remains early. This study aims to identify barriers to dietary adherence hindering successful translation of dietary interventions into large-scale effectiveness studies. Methods/Study Population: We are currently conducting the Functional Outcomes of Diet in Multiple Sclerosis (FOOD for MS) study, a randomized controlled feeding trial testing the efficacy of two diet interventions for improving symptoms of MS. Participants who complete FOOD for MS will be invited to complete an individual interview. We will use a semi-structured interview guide based on the Health Action Process Approach to complete the interviews. Interviews will be recorded via Zoom, transcribed using Microsoft 365 transcription, and thematically analyzed using NVivo Software to derive themes related to diet adherence. Results/Anticipated Results: Study findings will describe key themes related to barriers and facilitators of long-term adherence to the FOOD for MS diets. Anticipated barriers may relate to study structure and dietary maintenance, while potential facilitators may involve behavioral supports and study incentives. Participants will also provide recommendations for enhancing the behavioral support components of the intervention to promote sustained adherence. Discussion/Significance of Impact: Results from this qualitative interview will guide refinement to the FOOD for MS protocols and support the development effectiveness and implementation trials.

Objectives/Goals: This study surveyed Michigan Medicine patients to explore their interest and willingness to serve as research partners #_msocom_1 (patients who collaborate with academic researchers) and to identify their preferred research engagement activities, preferences for working with researchers, and perceived barriers and facilitators to collaboration. #_msoanchor_1. Methods/Study Population: We selected a random sample of 2,000 adult Michigan Medicine patients. A modified Dillman method was used, including initial mailing with a $10 gift, postcard reminder, and additional outreach for non-responders (mail, phone, or online survey). Survey questions covered demographics and health literacy, trust in medical researchers, and interest, preferences, obstacles, and facilitators to partnering. Variables were summarized descriptively, and associations between patient-level factors and interest in more versus less intensive partnership (>1 hour/month vs 1 hour/month or less) were quantified using logistic regression (adjusted for age and sex). Results/Anticipated Results: Of the N=2000 sample, 1633 were response-eligible. Of these, N=408 (25%) responded, with N=258 (63%) endorsing being interested in partnering. Average age was 51 years; 59% identified as female; 44% White, 19% Black, 9% Asian, 6% Hispanic/Latino, 6% Middle Eastern/North African, and 12% multiracial and/or multiethnic. Factors associated with interest in more time-intensive partnership (41% of responders) were having greater trust in researchers and being interested in helping identify research topics, assist with recruitment, and help disseminate findings. Transportation issues were the most reported obstacle (57%); personal experience with the medical topic was the most reported facilitator (76%). Health literacy level was not associated with willingness to engage in high time–intensity partnership. Discussion/Significance of Impact: This study identified factors that may affect patients’ willingness to engage as research partners, highlighting that those with lower literacy may still desire collaborations. Findings will contribute to development of a training program to support effective collaboration between patients and researchers.

Objectives/Goals: The objectives of this project aim to (1) feature strengthened areas of integration between Biostatistics, Epidemiology & Research Design (BERD) and Biomedical Informatics (BMI) Cores, (2) exemplify an inter-core approach to maximize CTSA data service resources, and (3) discuss opportunities to adapt this approach in other CTSA hubs. Methods/Study Population: BERD and BMI Cores are partnered disciplines integral to the mission of CTSA hubs but often operate independently of each other which can result in unfulfilled data resource linkages. In 2023, the University of Kentucky Center for Clinical and Translational Science integrated joint operations between the two cores to maximize research data support services. This project defines three areas of inter-core collaboration between BERD and BMI in CTSA hubs in academic medical centers: (1) collaborative needs assessment for research data support services, (2) joint consultations for study design, analysis, and data extraction, and (3) partnered joint data resource navigation. Process comparisons of previous and current workflows are presented to show the advantages of utilizing collaborative core efforts. Results/Anticipated Results: When operations are integrated, BERD and BMI Cores leverage CTSA resources to a higher capacity, with data-intensive research support becoming more effective and expedited for project timelines and workflows across the CTSA, especially in support of translational science and research. Early evaluation results support improved operation performance metrics and inter-core teamwork satisfaction. With this partnership, BERD and BMI cores strengthen CTSA data research support services including functional datasets, higher-level service, and leveraging institutional resources. Common service issues including cycles of data re-extractions and limited data support are now avoided when BERD and BMI cores address investigator needs with a joint approach. Discussion/Significance of Impact: CTSAs aiming to improve research navigation efficiency might approach joint BERD and BMI core collaborations and adapt these strategies to fit institutional infrastructure. This collaboration can serve as a case study in translational science innovation, addressing persistent CTSA workflow, hiring, and resource allocation.

Objectives/Goals: To explore patient experiences and perceptions of GLP-1 receptor agonists for weight loss, informing translational obesity care and highlighting the impact of emerging therapies on patient-centered outcomes. Methods/Study Population: This mixed-methods study included adults (≥18 years) without diabetes, pregnancy, or relevant medical contraindications. From March to July 2025, 140 participants completed a 30-item survey and ~30-question semi-structured interview tailored to six distinct GLP-1 experience groups from considering it, to actively using it, to having stopped. Participants received a $20 e-gift card. Quantitative data were analyzed using SAS; qualitative data were coded and thematically analyzed in Dedoose. The sample was predominantly white (82%), female (63%), privately insured (84%), employed full-time (74%), college-educated (75%), and married (65%), with 47% reporting income ≥$100,000 and a mean age of 45 years. Results/Anticipated Results: Distinct themes emerged across groups. Group 2 reported reduced interest in food, which influenced their food choices with mixed clinician support on nutrition. Group 4 credited GLP-1 for weight loss success but feared losing access to medication due to cost or insurance and thereby rebounding. Group 6 discontinued due to unsustainable side effects, cost, or coverage denial. Female participants (Groups 3–5) often faced stigma, with comments about “cheating” in weight loss, rarely reported by males. A reduction in “food noise” – intrusive food thoughts – was common while on GLP-1. Educational support from clinicians varied widely. Despite media portrayals, nearly all participants had long struggled with weight and were actively pursuing healthy lifestyles with exercise and nutritious food while on GLP-1. Discussion/Significance of Impact: Findings reveal strong patient enthusiasm for GLP-1 therapies and emphasize the need for consistent education and policy reform to support equitable, sustainable obesity care. Patient-centered insights can inform translational strategies in obesity treatment.

Objectives/Goals: HiREC Endowment investment accelerates investigators readiness for research infrastructure and advance career development to conduct impactful research. Support access to facilities and resources, research training and scientific mentors, encourage collaborations, scientific outcomes dissemination, and grant submission. Methods/Study Population: HiREC Endowment employs competitive application and review process to identify and support early-stage and mid-career investigators with high potential for impactful research. Applicants submit proposals outlining objectives, infrastructure needs, and expected outcomes. Proposals are evaluated by experts based on scientific merit, feasibility, potential for external funding, and alignment with institutional priorities. Awardees receive targeted funding for building research capacity and facilitating submission of competitive grant applications. Ongoing progress is monitored through periodic reporting to ensure effective use of resources and achievement of defined milestones. Mentorship and training are provided for academic and research development of emerging faculty and investigators. Results/Anticipated Results: Awards represent a strategic institutional investment that empowers researchers to build sustainable research capacity and achieve meaningful scientific impact, without relying solely on external grants. Over 36 awards have been offered, resulting in more than $1M funds committed to strengthen the institutional research culture. Awards distribution was 12 Mini, 6 Advanced, 2 Laboratory, 2 Special, and 14 MSc Scholars. Most awardees were affiliated to SoM (69%), followed by SoHP (27%). The 50% of HiREC awardees were PhD, followed by MD (30.6%). Awardees showed remarkable progress in their research careers and endeavors, academic promotions, local and national dissemination, publication in peer-reviewed high impact journals, social media, and other mechanisms, and obtaining external funds as R01 level. Discussion/Significance of Impact: The HiREC Awards focus on early-stage and established investigators to pursue high-quality research and obtain external funding. This support has offered protected research time, access to infrastructure, mentorship, collaborations, and training – key elements in their success and in strengthening our institutional research culture.

Objectives/Goals: To assess participation, satisfaction, and scholarly outcomes of IMPRS, a structured 10-week summer research program for rising second-year medical students at Indiana University School of Medicine (IUSM), one of the largest medical schools in the nation, across six cohorts (2018-2023). Methods/Study Population: We conducted a retrospective analysis of 1,090 IMPRS participants across six cohorts (2018–2023) at IUSM’s nine regional campuses. Students engaged in clinical, translational, community-based, and health outcomes research, culminating in an annual poster symposium. Program data included application numbers, participation rates, and satisfaction surveys. Scholarly outcomes were assessed via systematic PubMed and Scopus searches for publications derived from student projects. Search strategies combined student and mentor names, with results matched against symposium abstracts based on shared title keywords, content, topics, findings, or methodology. These matches were then used to calculate publication rates, time to publication, and analyze trends across cohorts. Results/Anticipated Results: Application rates increased from 23% (2017) to 76% (2023), with 21% to 61% ultimately participating. From 2017 to 2023, applications rose 77% (155 to 274), and participants increased 114% (103 to 220). Over six years, 1,090 students across IUSM’s nine campuses took part in IMPRS, resulting in 313 unique publications. The overall publication rate was 30.83%, with a mean time to publication of 22.6 months (IQR 13.0–30.8). Participant satisfaction remained high, with over 90% of students agreeing the program was a positive and productive experience. Discussion/Significance of Impact: IMPRS demonstrates a strong model for structured summer research, with a 30.83% publication rate comparable to similar programs (24-34%). High satisfaction and sustained growth indicate IMPRS successfully fosters scholarly development and cultivates future physician-scientists.

Objectives/Goals: To develop an information-theoretic alternative to ALE that integrates uneven datasets using log-likelihood ratios (LLRs) under noise versus signal world models. This approach aims to improve reproducibility, signal-to-noise ratio, and computational scalability in neuroimaging meta-analysis. Methods/Study Population: We used both real and simulated coordinate-based datasets to build an information-theoretic meta-analysis framework. The method models each study’s activations under noise versus signal expectations and computes voxelwise LLRs to combine information asymmetrically across uneven datasets. Implemented in Python with NumPy and custom modules, it integrates watershed segmentation for cluster detection and simulation-based calibration. Validation compares results to ALE, testing robustness to injected noise and recovery from highly imbalanced datasets. Results/Anticipated Results: Studies are ongoing. We anticipate improved SNR and recovery robustness compared to ALE, as our approach avoids pre-thresholding before combining information across datasets. Simulation evidence suggests far greater computational efficiency (e.g., reducing 45-min–20-hour ALE runs to under two minutes locally). Conceptually, the framework parallels modern AI training strategies – modeling signal and noise distributions to calibrate evidence rather than relying on fixed significance thresholds. These innovations leverage information theory, watershed algorithms, and simulation calibration to yield interpretable, high-resolution evidence maps. Discussion/Significance of Impact: This framework advances coordinate-based meta-analysis by modeling evidence directly rather than inferring it through p-values. It improves reproducibility, interpretability, and cross-disorder comparability, supporting more robust and scalable neurocircuit mapping for researchers and clinicians.

Objectives/Goals: PASC affects 6%#_msocom_1 of individuals recovering from SARS-CoV-2 infection. The primary objective of this study was to explore the underlying neuroimmune changes which are responsible for the chronic widespread pain and fatigue that these patients often experience. #_msoanchor_1 Methods/Study Population: We recruited eight post-acute sequelae of SARS-CoV-2 (PASC) patients from the PASC and physical medicine and rehabilitation clinics. Patients were included if they had daily, chronic pain, rated at least 5/10 intensity on the numeric rating scale. Patients were excluded if they had pre-existing pain or autoimmune conditions. Healthy age-matched controls were also recruited. We obtained blood samples from both groups of patients and purified IgG from the plasma. The IgG was reconstituted and transferred to 48 mice via intraperitoneal injection. After IgG transfer, we completed behavioral, flow cytometry, immunofluorescence, and degranulation assays to quantify the effects of the IgG on the animal’s behavior and mast cell activity. Results/Anticipated Results: IgG from PASC patients selectively binds mast cells and induces greater mast cell activation and degranulation than IgG from healthy control patients (p<0.001). This increase in mast cell activation is dependent on mas-related G-protein coupled receptor member X2 signaling. Transferring IgG from PASC patients to mice produces increased sensitivity to cold (p<0.001) in the animals and also decreases their locomotor activity (p<0.01). IgG from healthy patients did not induce any changes cold sensitivity in the animals, nor did it affect their locomotor activity (p<0.001). Lastly, transferring IgG from PASC patients to mice increases the mast cell population in the animals’ hindpaws (p<0.05). #_msocom_2 Discussion/Significance of Impact: This work elucidates a pathophysiological mechanism involved in the development of PASC-associated chronic pain. It also provides insights that may be useful in understanding the pain that is often associated with other autoimmune conditions.

Objectives/Goals: The purpose of this study is to explore and understand the experience of loneliness in adults over 65 years of age with chronic illnesses residing in public and private community dwellings in Puerto Rico. Methods/Study Population: The Phenomenological qualitative approach aims to deepen participants’ understanding of how they define loneliness, the associated risk factors, the strategies they use to cope with it, and its perceived effectiveness. The project has three phases: the first phase involves obtaining informed consent, the second phase consists of the interview, and the third phase concludes the interview with a reminder that a follow-up meeting will be held to validate the information collected. This study will use a convenience sampling method to recruit 20 participants aged 65 years or older with chronic illnesses residing in public (10 participants) and private (10 participants) community dwellings in Puerto Rico. Results/Anticipated Results: This study is needed to better understand how older adults with chronic illnesses experience loneliness, what factors influence their perception, and what strategies they use to cope with it. Discussion/Significance of Impact: The findings may inform community interventions and public policies aimed at improving the quality of life for this population.

Objectives/Goals: Opioids treat pain but with the risk of severe adverse effects. The opioid positive allosteric modulator BMS-122 has been shown to enhance opioid antinociception in animal models without increasing adverse effects. However, whether BMS-122 is effective in chronic neuropathic pain is unknown. Methods/Study Population: We used two animal models: spared nerve injury (SNI) and tibial neuroma. Injuries were performed on male and female Sprague-Dawley rats. Animals developed robust sensitivity to tactile stimulation similar to that seen in patients. Animals with SNI received the mu-opioids methadone, morphine, and buprenorphine, or gabapentin (30 mg/kg, s.c.), with or without BMS-122 (10 mg/kg, s.c.). Tactile hypersensitivity was measured using von Frey filaments. Animals with tibial neuroma received methadone (s.c.) with or without BMS-122 (10mg/kg s.c.), and tactile hypersensitivity was measured using a modified Tinel’s test, in which the neuroma was directly stimulated. Results/Anticipated Results: Hypersensitivity following SNI was reversed with administration of high-dose opioids or gabapentin. Following pre-treatment with BMS-122 low, ineffective doses of opioid or gabapentin significantly reversed the hypersensitivity. Buprenorphine was unable to fully reverse the hypersensitivity alone but was fully efficacious in the presence of BMS-122. Animals with tibial neuroma developed hypersensitivity at the neuroma site, but the doses of methadone required to reverse this sensitivity also induced respiratory depression. In the presence of BMS-122, a low, non-effective, dose of methadone reversed hypersensitivity without depressing breathing. No sex differences were observed in either condition. Discussion/Significance of Impact: These data show that positive allosteric modulators like BMS-122 provide an opioid-sparing effect in chronic neuropathic pain. Furthermore, BMS-122 appears to enhance endogenous opioid peptides to increase the effectiveness of non-opioid analgesics. Overall, these data support the continued development of modulators as therapeutics.

Objectives/Goals: CTSA programs’ requests for applications (RFAs) can be hindered by misalignments with grantees’ needs and expectations. Using a customer discovery approach, we identified real and perceived barriers to conducting pragmatic EHR-embedded trials (PEET) to inform RFA optimization, demonstrating how this funding opportunity addressed barriers. Methods/Study Population: Using Colorado Profiles, a research networking tool, we identified investigators who engaged in PEET-type research across the Colorado Clinical and Translational Sciences Institute (CCTSI) partnering institutions. We invited 33 investigators representing key centers and departments to participate in 30-minute, virtual customer discovery interviews about their experiences conducting PEET-type research within CCTSI’s PEET health system partner, UCHealth. Interviews were conducted using a semi-structured interview guide and were synthesized using a Value Proposition Canvas to identify relevant investigator “jobs-to-be-done,” pain points and potential benefits and strategies to optimize our internal RFA (now in its third year) to address these. Results/Anticipated Results: Twenty-one investigators participated in interviews, including five previous applicants. Two key “customer segments” emerged from interviews: 1) early-career investigators, who wanted to build connections and competencies related to PEET-type research and were often transitioning to independent funding; and 2) experienced investigators, who were focused on larger grants, but valued support in interfacing with UCHealth around both research implementation and informatics. For both groups, while the research funding was seen as beneficial, the true value of the PEET support was the facilitation of a relationship with the health system. Potential changes to the PEET RFA include eligibility clarifications, increased emphasis on health system liaison support, and increased budget flexibility. Discussion/Significance of Impact: In PEETs, alignment of the health system, research infrastructure, and investigators is essential to trial success. Through this process, we identified key unmet needs for investigators and opportunities to optimize this internal RFA to enhance overall alignment between institutional capacities and investigator needs.

Objectives/Goals: The objective of this research is to investigate the association between suboptimal self-reported antihypertensive medication adherence, increased blood pressure variability (BPV), and cognitive decline independent of average blood pressure (BP) levels in a post hoc analysis of the Systolic Blood Pressure Intervention Trial (SPRINT). Methods/Study Population: 7371 participants with medication adherence, blood pressure, and mild cognitive impairment follow-up data were included for analysis (36% female, mean age 68.3±9.22). BPV was calculated as the standard deviation of available systolic blood pressure measurements. Medication adherence was quantified using the “Percent Meds” variable, a self-report measure that quantifies the proportion of the last 10 days that a participant remembered to take their medications correctly. Suboptimal medication adherence was defined as 90% adherence or less. Survival analysis using Cox proportional hazards regression was used to assess the mediating effects of BPV and BP on the association between suboptimal medication adherence and increased MCI risk. Results/Anticipated Results: Proportional hazards regression showed suboptimal medication adherence to be associated with increased MCI risk (HR=1.62, P=.00004). Both systolic BP (HR: 1.14, P=.002) and systolic BPV (HR: 1.11, P=.004) displayed independent adverse effects on MCI risk. In parallel mediation, BPV (indirect effect log hazard=.01, 95%CI=.002-.02) and BP (indirect effect log hazard=.009, 95%CI=.001-.02) acted as partial mediators of the association between suboptimal medication adherence and increased MCI risk. All models were adjusted for age, sex, resting heart rate, and history of cardiovascular and chronic kidney disease. Discussion/Significance of Impact: Average BP and BPV are independently associated with increased MCI risk and represent distinct risk factors for MCI conversion. Both average pressure and variability in pressure link suboptimal medication adherence to increased MCI risk, suggesting that suboptimal medication adherence is a modifiable risk factor for MCI conversion.

Objectives/Goals: Caring for a loved one with heart failure (HF) is a chronic stressor that may elevate cardiovascular disease (CVD) risk. This study examined relationships between TNF-α, adiponectin, and clinical and demographic factors among HF family caregivers (FCGs). Methods/Study Population: This study is a secondary data analysis of baseline data from FCGs of individuals with HF enrolled in an intervention study (N=122, mean age 55 ± 11.7 years, range 25–80). The sample included 92% women and was racially diverse, with 59% identifying as African American, 39.3% as Caucasian, and 1.64% as other ethnicities. TNF-α and adiponectin levels were analyzed, and Spearman’s correlation was used to explore their associations with cardiovascular and metabolic indicators, including lipids and anthropometric measures. Results/Anticipated Results: TNF-α was inversely associated with total cholesterol (ρ = -0.241, p = 0.037) and adiponectin (ρ = -0.275, p = 0.017). Adiponectin was negatively associated with triglycerides (ρ = -0.208, p = 0.023), C-reactive protein (CRP; ρ = -0.283, p = 0.002), and metabolic syndrome (ρ = -0.181, p = 0.049). These findings suggest that TNF-α contributes to inflammation, while adiponectin may play a protective role in metabolic health. Discussion/Significance of Impact: Findings suggest that elevated TNF-α and reduced adiponectin may mark higher CVD risk in HF caregivers. Targeting inflammation and boosting adiponectin could reduce this risk. Longitudinal studies are needed to confirm these relationships and guide caregiver-focused interventions.

Objectives/Goals: Private equity (PE) investment in Medicare Home Health Care (HH) is rising, raising concerns that PE’s profit focus may reduce spending on staff, training, and care quality. Objective: Examine the growth and regional trends of PE involvement in HH across the USA. Methods/Study Population: Background: PE investment in Medicare Home Health Care (HH) is becoming increasingly common, and HH is among the top healthcare sectors attracting interest from PE investors. This is potentially concerning given that PE’s focus on maximizing short-term returns may come at the expense of investments in staffing, training, and other agency operations that enhance care quality. Methods: We linked an investor targeted dataset (LevinPro HC), typically used by investment banks to track mergers and acquisitions, with Medicare administrative data on HH agencies. We then tracked PE deals to HH agencies and mapped deals to HH agency states. Results/Anticipated Results: Results: By combining the LevinPro HC and Medicare Provider of services data sources, we created a novel dataset of PE transactions in HH from 2006 through 2024. We found that there were 796 HH agencies (532 unique) acquired in 117 PE deals. Overall, HH acquisition by PE has been increasing over time with the majority of deals taking place between 2016 and 2022. Deals ranged in size from 1 to 115 HH agencies. Texas led the nation in PE activity in the HH sector with over 50% more deals than California, the state with the next higher number of acquisitions. Discussion/Significance of Impact: This study is the first to document the growth of PE involvement in HH across the USA by linking HH PE industry data with CMS data. Using these linked data will be essential for examining complex patterns of ownership and affiliation that were previously difficult to capture and that influence HH care delivery, competition, and regulatory oversight.

Objectives/Goals: Conventional magnetic resonance imaging (MRI) methods are unable to visualize bone comparable to computed tomography (CT). Radiation therapy can result in post-treatment complications, such as osteoradionecrosis (ORN). We aim to integrate black bone (BB) MRI into routine follow-up MRI scans as an alternative to CT to monitor the development of ORN. Methods/Study Population: We assess the CT, T2-weighted (T2W), and BB MRI scans of 21 head and neck cancer patients without active ORN. All images are acquired within 4 weeks of each other to minimize anatomical variability. The mandibles are manually segmented on each image, and the MR images are registered to the CT to map the CT contour onto the MR images for comparison. Image segmentation evaluation metrics, including dice similarity coefficient (DSC), mean distance to agreement (MDA), and Hausdorff distance (HD), assess for spatial differences between each MRI sequence, using CT as reference standard. DSC measures contour volume, while MDA and HD assess the differences in contour boundaries, with HD sensitive to outliers. We employ a Wilcoxon signed-rank test using a significance value of p≤0.05 to assess for statistical significance. Results/Anticipated Results: Using metrics widely accepted in biomedical research, we assess the performance of BB to visualize mandible against its conventional T2W MRI counterpart when compared to CT. Black bone has a significantly different DSC (median=0.878, IQR=0.0397) than T2W (median=0.806, IQR=0.0876; p<0.0001), indicating high volumetric overlap between contours on BB and CT. Black bone has a significantly different MDA (median=0.0731mm, IQR=0.0227mm) than T2W (median=0.119mm, IQR=0.0697; p<0.0001), indicating high agreement between contour boundaries on BB and CT. Black bone has a significantly different HD (median=0.649mm, IQR=0.211mm) than T2W (median=1.80, IQR=0.933; p<0.0001), indicating a submillimeter difference between contour boundaries, including outliers, on BB and CT. Discussion/Significance of Impact: Our results exhibit BB as a promising non-ionizing alternative to CT for bony visualization compared to conventional MRI. BB has potential to detect early anatomical changes in bone, providing a standardized assessment of ORN. This can improve our dose–response understanding of post-treatment toxicities, refining radiation treatment planning.

Objectives/Goals: Standardize, centralize, and automate the collection of administrative data at the Northwestern Clinical and Translational Sciences (NUCATS) Institute CRU at Northwestern Memorial Hospital. Facilitate instantaneous data reporting and visualization for immediate insights across eight service lines. Methods/Study Population: The CRU offers nursing and laboratory services for clinical research studies. We have developed a comprehensive flowchart that outlines CRU workflows and data collection for all its service lines, from study enrollment to billing processes. Our goal is to pinpoint areas for improvement, focusing on minimizing manual labor and enhancing automation. To streamline operations, we implemented direct data entry into the EPIC system for all visits. Additionally, we established efficient pipelines for direct data extraction and reporting through Azure Databricks, leading to the creation of near real-time dashboards that display key metrics, which are deployed using Power BI. Results/Anticipated Results: The integration of a centralized data system has significantly enhanced workflow efficiency within the CRU. Automated reports and interactive visualizations provide near real-time insights, which greatly improve decision-making and operational transparency. By eliminating unnecessary manual data entries and establishing a centralized data repository, we achieved greater accuracy and granularity in our data management. This streamlined reporting workflows for over 2,000 visits from 250 studies annually. Overall, these enhancements enabled the CRU to operate more effectively, facilitating better resource management and improving service delivery for clinical research. Discussion/Significance of Impact: Streamlining and automating data management within the NUCATS CRU has reduced manual labor and helps ensure timely and accurate reporting. This allows us to better analyze current data and seasonal trends, which facilitates better decision-making and resource allocation.

Objectives/Goals: Speech-language pathology (SLP) is essential to restore communication, swallowing, and cognition. Research on access to SLP services in rural communities is sparse. In this cross-sectional descriptive study, we analyze access to SLP services among traditional Medicare beneficiaries offered via urban and rural Home Health Agencies (HHA). Methods/Study Population: To describe access to SLP services at home among traditional Medicare beneficiaries in 2022, we analyzed three provider-level datasets from the Centers for Medicare and Medicaid Services: The Post-Acute Care and Hospice Provider Utilization and Payment Public Use File, the Care Compare dataset, and the Provider of Services dataset. We grouped HHAs into five rural and urban categories: urban serving <10% rural beneficiaries (n=6001), urban serving 10%+ rural beneficiaries (n=458), large rural (n=755), small rural (n=431), and isolated small rural (n=148). We used descriptive statistics to assess SLP service provision and SLP staffing patterns. A logistic regression model was conducted to analyze how service provision varies by agency characteristics. Results/Anticipated Results: According to agency self-report, the likelihood of offering services was highest among urban HHAs and decreased as rurality increased. However, the number of HHAs that actually provided SLP therapy minutes in 2022 was lower. Urban HHAs serving less than 10% rural beneficiaries and isolated small rural agencies were least likely to have provided SLP services (71% and 59% of agencies provided services). In adjusted analyses, larger agencies were more likely to have documented service provision, while accredited agencies were less likely to have provided services. HHAs that actually provided services were more likely to have SLP staff employed by the agency rather than contract SLPs. Among agencies with documented service provision, the majority of agencies employed less than 0.5 full-time equivalent SLPs. Discussion/Significance of Impact: Small independent agencies in isolated rural areas may struggle to fill open positions or consistently offer SLP positions due to fluctuating SLP needs. Efforts to improve access to home health SLP services should focus on supporting these agencies to improve SLP recruitment and retention.

Objectives/Goals: To identify lipid signatures associated with adverse pregnancy outcomes (APOs) and postpartum weight retention (PPWR) in women entering pregnancy with overweight or obesity and to explore potential epigenetic mechanisms through ongoing DNA methylation (DNAm) analysis. Methods/Study Population: The GROWell: Goals for Reaching Optimal Wellness study was a blinded, randomized clinical trial to improve dietary support during pregnancy and postpartum. Data were collected via online questionnaires, electronic health records (EHRs), and participant-collected dried blood spots (DBS) at 10–16 weeks, 36–38 weeks, and 3 months postpartum. We analyzed DBS data from 49 participants using three lipidomic analytical techniques: weighted lipid correlation network analysis, differential lipid analysis, and partial least squares discriminant analysis. Lipid profiles were characterized and then tested for associations with APOs and PPWR at all three time points. DNAm analysis from the samples is ongoing to determine the epigenetic mechanisms associated with lipid dysregulation and pregnancy outcomes. Results/Anticipated Results: The lipid network analysis revealed positive correlations between specific lipid types and APOs, particularly at 10–16 weeks and postpartum. Notably, triglycerides and phosphatidylcholine were associated with an increased risk of APOs. Additionally, in the third trimester, triglycerides were positively correlated with weight-related variables. Postpartum analysis also showed a positive correlation between elevated triglyceride levels and a history of APOs. The network analysis also revealed positive associations between triglycerides and PPWR, which were most evident at the 36–38 week and postpartum time points. Ongoing methylation analysis is expected to identify genomic regions associated with pregnancy outcomes. Discussion/Significance of Impact: These findings underscore the significant role of lipids in pregnancy outcomes for individuals with overweight or obesity. Identifying lipidomic and methylome biomarkers of risk for APOs and PPWR may help with early detection and intervention, improving maternal and fetal health.

Objectives/Goals: To enhance collaboration, communication, and research professional development in a newly aligned academic learning health system by implementing two innovative training programs – Leadership in Focus and Research Mentor Academy – that build leadership and mentoring capacity across the research workforce. Methods/Study Population: To elevate and support research leadership and mentoring development across a large, multi-state academic health system, we launched two complementary programs. Leadership in Focus is a monthly virtual series featuring interviews with enterprise leaders, offering insights into leadership, strategy, and team science. Mentor Academy is a 10-week virtual course that provides formal training through skill-building, discussions, and guest speakers. Aligned with national best practices, it emphasizes communication and mentee-focused career development across the translational spectrum. Results/Anticipated Results: Both programs have shown early success in increasing engagement, awareness, and leadership competency. Leadership in Focus has drawn growing attendance from researchers, staff, and clinicians, fueling internal networking opportunities. The Research Mentor Academy participants bring strong representation from across departments and campuses. Participant feedback indicates improved confidence in mentoring, greater clarity in career advancement strategies, and expanded professional networks. These initiatives are creating new entry points for leadership development across the research enterprise, contributing to a stronger, more connected learning health system. Discussion/Significance of Impact: Through strong leadership and mentoring training, these programs strengthen collaboration and skill development of the translational research workforce. The success of these programs fosters a culture of learning and emphasizes the value of professional growth in an academic learning health system.