OBJECTIVES/GOALS: 1. Understand the association between patient perceptions of care measured by the Interpersonal Processes of Care (IPC) Survey and glycemic control, appointment no-shows/cancellations and medication adherence in patients with type II diabetes. 2. Determine how these relationships differ by race for non-Hispanic White and Black patients. METHODS/STUDY POPULATION: This is a cross-sectional study of a random sample of 100 White and 100 Black Type II diabetic patients followed in Duke primary care clinics and prescribed antihyperglycemic medication. We will recruit through email and phone calls. Enrolled patients will complete the Interpersonal Processes of Care Short Form and Extent of Medication Adherence survey to measure patient perceptions of care (predictor) and medication adherence (secondary outcome). No show appointments and cancellations (secondary outcomes) and most recent hemoglobin A1c (primary outcome) will be collected from the Electronic Medical Record. We will also collect basic demographic information, insurance status, financial security, significant co-morbidities, and number and type (subcutaneous vs oral) of antihyperglycemic medications. RESULTS/ANTICIPATED RESULTS: -The study is powered to detect a 0.6% difference in HbA1c, our primary outcome, between high and low scorers on the Interpersonal Processes of Care subdomains. -We expect that higher patient scores in the positive domains of the IPC survey and lower DISCUSSION/SIGNIFICANCE OF IMPACT: This study will provide information to develop and implement targeted interventions to reduce racial and ethnic disparities in patients with Type II diabetes. We hope to gain information on potentially modifiable factors in patient-provider interactions that can be intervened upon to improve prevention and long-term outcomes in these populations.

ABSTRACT IMPACT: Understanding the needs and barriers or facilitators to participation in research, especially among minority communities is critical not only for COVID-19 research but also for future clinical and translational research and health disparities studies. OBJECTIVES/GOALS: The overall goal of this project is to enhance education, awareness, access, and inclusion of underserved communities across Florida in COVID-19 research, especially among Black and Hispanic minority groups that are disproportionately affected by COVID-19. METHODS/STUDY POPULATION: Through strategic partnership among five academic institutions and community-based organizations across the state of Florida, the FL-CEAL team will implement focus groups and surveys in minority communities in Florida to gauge the awareness and understanding of COVID-19, and the barriers and facilitators for participation in COVID-19 research studies. These communities include but are not limited to Latinx and Black populations in South and Central Florida, and Black communities in North Florida. The outcomes will help shape strategies for outreach and dissemination activities and minority recruitment plans to promote participation of minorities into vaccine and therapeutic trials. RESULTS/ANTICIPATED RESULTS: An estimated 75-125 participants will be recruited for focus groups. Four focus groups with minority communities have been conducted and the results are being analyzed. A common Community-Based Needs Assessment survey is being finalized and will be deployed across the 11 states that are part of the national CEAL consortium. Community Health Workers are being engaged to support outreach and dissemination to educate targeted communities on COVID-19 research and the importance of participation in COVID trials. To date, 243 CHWs and 880 community members have been engaged. Minority participation in COVID-19 vaccine trials at University of Miami has been higher than the national average. DISCUSSION/SIGNIFICANCE OF FINDINGS: The FL-CEAL Alliance has successfully demonstrated a coordinated effort to engage minority communities affected by COVID. Through strategic geographic partnerships, FL-CEAL will positively impact minority communities throughout the state that has one of the most diverse populations in the nation.

OBJECTIVES/SPECIFIC AIMS: The goal of the study was to assess the acceptability of a culturally targeted narrative video and identify potential avenues for dissemination in a sample of bilingual community health workers who provide services to the Latino community in the United States. METHODS/STUDY POPULATION: We piloted the video in a sample of bilingual community health workers who provide services to Latinos (n=31). After watching the video, participants filled out a survey. The survey captured sociodemographic data (e.g. education), their role and experience working with Latinos (e.g. patient navigators), acceptability of the video (e.g. general satisfaction, length of the video, amount of information), and potential dissemination (e.g., dissemination channels, preferred settings to watch the video, and preferred context). Three open ended questions captured information about how the video could be useful for the Latino community, what they liked the most from the video, and suggestions for improvement. Data was entered in SPSS version 25. We used descriptive statistics to analyze the survey, and content analysis to summarize the feedback from the open-ended questions. RESULTS/ANTICIPATED RESULTS: Participants (n = 31) had an average age of 46 years (SD=16.99), all self-identified as Hispanic or Latinos, most were female (90.3%), and worked as patient navigators (29%) or community outreach workers (25.8%). The video’s general acceptability was very high. Participants reported high ratings for overall satisfaction, how much they liked the video, enjoyed it, and considered it to be interesting (all means >9.6, range 1-10). Most participants strongly agreed or agreed that the length was adequate (80.7%), that the information presented was very helpful (100%), that the video could be useful for the Latina community (96.8%), and that they would share the video with women at-risk of HBOC (100%). The highest endorsed channels for dissemination were Facebook (90.3) and YouTube (87.1%). The highest endorsed settings were community centers (100%), churches (96.8%), and hospitals (80.6%). Most participants (90.3%) considered that the best context to watch the video would be with relatives, followed by watching with other women at-risk of HBOC (71.0%), friends (71.0%), and lastly by oneself (41.9%) DISCUSSION/SIGNIFICANCE OF IMPACT: This study represents a multidisciplinary approach to intervention development that aims to reduce well-documented knowledge gaps and disparities in the use of GCRA among at-risk Latinas. A culturally targeted video has the potential to reach underserved populations with low literacy and English proficiency and it can be widely disseminated. The video was well received by community health workers who reported high acceptability. These findings are promising given that community health workers could play a key role in the dissemination of the video if it is proven to be efficacious.

OBJECTIVES/SPECIFIC AIMS: Despite the high prevalence of individuals diagnosed with sickle cell disease (SCD) in Tennessee, comprehensive care and education for patients with SCD is not as widely available as healthcare services for individuals managing other chronic illnesses. We aimed to engage SCD stakeholders in patient-centered outcomes research (PCOR) as a mechanism for advancing care and translational research for this rare disease population. METHODS/STUDY POPULATION: Through a partnership with the Sickle Cell Foundation of Tennessee, we implemented Community Health Ambassadors to systematically engage patient partners with SCD and their caregivers, aged 18–50 from rural and urban communities throughout Tennessee, in PCOR to establish a sustainable infrastructure, focused on connecting the SCD community through a service providing community-based organization to offer (1) information on how to connect with other families; and be informed about SCD community activities, or educational offerings; (2) training in basic research principals; and (3) opportunities to contribute to PCOR, including feedback on effective and practical ways for providing input on research efforts through patient centered input, comparing urban and rural area preferences. Community ambassadors utilized health fairs, clinic days at various hospitals and community centers, and social media to spread awareness of the project, in addition to boosting the recruitment process. RESULTS/ANTICIPATED RESULTS: A statewide SCD network was developed to offer social support and increase access to education, medical care, and engagement in research activities. Findings include: recruitment of 150 patients and 35 executive committee members (local physicians, community leaders, adults with SCD and parents of children with SCD). DISCUSSION/SIGNIFICANCE OF IMPACT: Most rural and urban families affected by SCD have no systematic way to engage in, or lend their expertise to, PCOR. A statewide network of patient partners, community stakeholders, researchers, and medical professionals will ultimately increase the standard of care for patients, and provide valuable insight for SCD research. The opportunity to create the underpinnings for coordinated patient-centered education for patients with SCD and their caregivers holds promise for developing a scalable PCOR process model for replication and implementation in other states and emulate this model with other rare disease populations.

OBJECTIVES/GOALS: Single-cell and spatial transcriptomics have revealed high heterogeneity in the tumor and microenvironment. Identifying populations of cells that impact a patient’s prognosis is an important research goal, so researchers can generate hypotheses and clinicians can provide targeted treatment. METHODS/STUDY POPULATION: DEGAS uses deep-transfer-learning to identify patterns between patient tumor RNA-seq and clinical outcomes and map these associations on to higher-resolution data like spatial and single-cell transcriptomics. We apply DEGAS to prostate and pancreatic cancer spatial transcriptomics samples, as well as one normal sample of prostate tissue. We used the TCGA prostate cancer cohort to with the accompanying survival information and publicly accessible prostate cancer ST data from 10X Genomics to predict survival associations in the ST slides derived from the TCGA patients. Based on these survival associations, we identify higher risk subsections of ST slides which can be further studied. RESULTS/ANTICIPATED RESULTS: We were able to validate our method by comparing it to Scissor and were able to show that the number of high-risk regions in prostate cancer slides increased with the stage of disease. Furthermore, we identify transcriptomic signatures enriched for ontology terms associated with growth regulation and apoptosis, inflammation, immune signaling, and autophagy in histologically normal prostate tissues and adjacent normal pancreatic cancer tissues that were identified as high-risk by DEGAS. The regions highlighted by DEGAS could reflect transcriptional precursors to intraepithelial neoplasia–a well-recognized premalignant morphological change in glandular epithelium. DISCUSSION/SIGNIFICANCE: Identifying biomarkers of tissue stress that precede morphologic diagnosis of high-grade pre-malignant lesions by a pathologist may help triage patients at high risk for future development of cancer, or aid in better understanding whether histologically normal pre-malignant tissues at tumor margins contribute to recurrence.

OBJECTIVES/SPECIFIC AIMS: Patient factors such as body mass index and functional status are commonly used in surgical decision-making and prediction of outcomes. Morphomic analysis uses semi-automated 3D cross-sectional imaging analysis to quantify tissue, organ, and bone geometry and density. These data can be used to assess patient health status. There is an emerging trend of using morphomic variables such as muscle mass and bone mineral density to predict surgical and medical outcomes. In certain cases, it has been shown to predict cancer survival more accurately than conventional staging methods. With the growing popularity of morphomic analysis, it is vital to establish baseline variability against which patient populations can be validated. Of populations receiving radiographic imaging, trauma patients are approximately representative of the general population. We created a reference population of morphomic variables from over 6000 University of Michigan patients presenting with trauma. METHODS/STUDY POPULATION: Computed tomography (CT) scans were obtained for all patients who underwent scans for trauma indications at the University of Michigan starting from April 1998. High throughput image processing algorithms written in MATLAB 2015a were used to semi-automatically process chest, abdomen, and pelvis CT scans. Scans were referenced to a common coordinate system based on vertebral levels and body anatomy. Measurements of adiposity, muscle group, and bone density measurements were performed at each level. Percentile curves of morphomic measures of body composition by age and sex were created. The reference population dataset is periodically updated and is publicly accessible. RESULTS/ANTICIPATED RESULTS: As of July 2017, over 6000 patients aged 1–81 years have been included in the Reference Analytics Morphomics Population. Patient CT scans were analyzed at the T10, T11, T12, L1, L2, L3, and L4 vertebral levels. Morphomic measures analyzed include body depth, body cross-sectional area, vertebral trabecular bone density, visceral fat area, fascia area, subcutaneous fat area, central back fat, and psoas muscle area. DISCUSSION/SIGNIFICANCE OF IMPACT: We created reference curves for several morphomic variables from a Reference Analytic Morphomics Population of over 6000 University of Michigan patients presenting with trauma.

The rate at which the coronavirus disease (COVID-19) spread required a rapid response across many, if not all, industries. Academic medical centers had to rapidly evaluate, prioritize, and coordinate the multiple requests for clinical trial participation. This involved redirecting resources and developing a collaborative system for assessment, decision making, and implementation. Our institution formed a team with diverse representation from multiple stakeholders to review and prioritize all research protocols related to COVID-19. To accomplish this, a prioritization matrix was developed to help determine the order in which the protocols should be placed for consideration by the treating clinician. The purpose of the team was to review the COVID-19 clinical trials in the pipeline, prioritize those trials that best met the needs of our patients, oversee training and resource needs, and lead the formulation of procedures for integration with clinical care. Resources from the Clinical Research Unit were then allocated to support the swift execution of such studies. This manuscript describes that process, the challenges encountered, and the lessons learned on how to make all clinical trials more successful in a complex and dynamic environment.

Racism shapes the distribution of the social determinants of health (SDoH) along racial lines. Racism determines the environments in which people live, the quality of housing, and access to healthcare. Extensive research shows racism in its various forms negatively impacts health status, yet few studies and interventions seriously interrogate the role of racism in impacting health. The C2DREAM framework illuminates how exposure to racism, in multiple forms, connects to cardiovascular disease, hypertension, and obesity. The goal of the C2DREAM framework is to guide researchers to critically think about and measure the role of racism across its many levels of influence to better elucidate the ways it contributes to persistent health inequities. The conceptual framework highlights the interconnectedness between forms of racism, SDoH, and the lifecourse to provide a greater context to individual health outcomes. Utilizing this framework and critically contending with the effects of racism in its multiple and cumulative forms will lead to better research and interventions.

Attrition of experienced clinical research coordinators (CRCs) remains one of the most significant challenges to clinical and translational research. While multiple factors contribute to CRC retention, adequate compensation remains one of the most important. This manuscript describes a novel methodology for applying Joint Task Force (JTF) clinical research competencies as a guiding framework for salary adjustments via a pilot program for clinical research staff. This methodology can be adapted to a variety of institutional settings, especially in environments where opportunities for salary advancement are constrained by labor contracts. At UC Davis, CRC salary advancements are defined by contractual agreements with the Union of the Professional and Technical Employees, Research Support Professionals Unit (UPTE RX). While the union contract allows for periodic, across-the-board (all UPTE RX members) salary increases, it does not include clear provisions for merit-or competency-based increases. The CRC Equity Pathway is the first institutional compensation strategy that ties salary advancement to CRC competency, taking a significant step toward eliminating historical salary inequities. The pilot program described in this manuscript demonstrated that the CRC Equity Pathway is a viable mechanism for standardizing job descriptions around the JTF competencies, and for informing corresponding salary adjustments.

OBJECTIVES/GOALS: A negative circumferential resection margin (CRM) after surgical resection of rectal cancer decreases local recurrence and increases overall survival. While MRI is used to predict this risk, there is no predictive model that incorporates clinical factors to predict the risk of CRM positivity. METHODS/STUDY POPULATION: Utilizing the National Cancer Database from 2010-2014, we performed a retrospective study evaluating factors predictive for positive CRM after surgical resection of rectal cancer. The primary outcome was positive CRM (tumor≤1 mm from the surgical margin). Our population included patients with clinical stage I-III rectal cancer who underwent total mesorectal excision. For the primary outcome, multivariable logistic models were used to estimate the probability of a positive CRM. Model performance was evaluated by using the area under the receiver operating characteristic curve (AUC). Model calibration was assessed by examining the calibration plot. Bootstrapping method (300-iteration) was used to internally validate and estimate optimism-adjusted measures of discrimination and overall model fit. RESULTS/ANTICIPATED RESULTS: There were 28,790 patients included. 2,245 (7.8%) had positive CRM. Older age, race, larger tumor size, higher tumor grade, mucinous and signet tumor histology, APR, open operative approach, facility location, higher T stage, lymphovascular invasion, lack of neoadjuvant chemotherapy/radiation, and perineural invasion were all significantly associated with positive CRM (p DISCUSSION/SIGNIFICANCE: An objective model that predicts positive CRM and associated poor clinical outcomes is possible to be used in conjunction with MRI. Positive CRM is associated with specific patient demographics, tumor characteristics, and operative approach. These factors can be used to predict CRM positivity in the preoperative period and plan accordingly.

ABSTRACT IMPACT: This abstract presents a generalizable process to evaluate, and act on, community advisory board perceptions of collaboration effectiveness to improve clinical and translational research network function. OBJECTIVES/GOALS: Community advisory boards (CAB) play an important role in facilitating relevant and externally valid, clinical and translational research (CTR). The objective of this presentation is to describe a participatory process to derive collaboration metrics that can be used to assess CAB effectiveness. METHODS/STUDY POPULATION: During the 4th and 5th years of the Great Plains IDeA CTR award, we used a mixed-methods approach that included CAB (1) discussions related to the need to assess collaboration effectiveness, (2) review of the validated Wilder Collaboration Inventory to identify factors that, if maximized, would improve a sense of team science and enhance productivity, (3) planning for assessment frequency and follow-up processes, and (4) review of collaboration data to determine necessary actions for improvement. Qualitative data were gathered across components of the mixed-methods approach. Quantitative data were collected and reviewed by the CAB (n=11 members) during the 1st quarter of award year 5. RESULTS/ANTICIPATED RESULTS: CAB members expressed an interest in assessing collaboration effectiveness, identified important factors to assess, and agreed that annual assessment and follow-up would be appropriate. Key factors identified and assessed (5-point agreement scale--higher score reflects stronger agreement) were 1) mutual respect/trust (m=4.2); 2) appropriate cross section of members (m=3.6); 3) a shared stake in the process and outcomes (m=3.9); 4) flexibility in decision-making/collaboration (m=4.1); 5) roles and policy guidelines (m=3.6); 6) open communication (m=3.9); 7) goal achievement (m=4.0); 8) shared vision (m=4.0); and 9) skilled leadership (m=4.4). DISCUSSION/SIGNIFICANCE OF FINDINGS: CAB reflection on the initial collaboration assessment resulted in developing plans to broaden membership and clarify roles and policy guidelines related to CAB participation. There was strong consensus related to the utility of this assessment approach.

Objectives/Goals: To assess the feasibility and utility of using the community-informed Healthy North Carolina 2030 (HNC 2030) goals as a framework to evaluate CTSA-supported research; identify where NC CTSAs align with state health priorities; and enhance evaluation, planning, and communication of impact. Methods/Study Population: Three North Carolina CTSA hubs (UNC-Chapel Hill, Duke University, and Wake Forest University) collaboratively examined how the HNC 2030 indicators could be applied as an impact evaluation framework. Each hub independently identified projects with demonstrated or potential alignment to one or more HNC 2030 goals using institutional databases, project records, and stakeholder input. The feasibility and utility of this approach were assessed through structured reflections on practicality, appropriateness, and usefulness. Representative cases illustrate how alignment decisions were applied across clinical and public health domains. Results/Anticipated Results: Findings indicate that mapping CTSA activities to state health priorities is feasible, minimally burdensome, and adaptable across institutional contexts. The process identified both areas of strong engagement (e.g., maternal health, adolescent reproductive care) and opportunities for further investment (e.g., social determinants of health). Challenges included defining alignment boundaries, addressing cross-cutting indicators, and distinguishing between demonstrated and potential impact. This approach could strengthen communication of translational impact and inform strategic planning, helping CTSA hubs demonstrate the relevance of their work to statewide health goals. Discussion/Significance of Impact: Using community-driven state public health goals as an organizing framework enhances the relevance, transparency, and accountability of translational research. This exploratory mapping approach offers a scalable model for other CTSAs seeking to evaluate and communicate population-level impact.

OBJECTIVES/SPECIFIC AIMS: The National Institutes of Health (NIH) has provided continual support for the Georgia Clinical and Translational Science Alliance (CTSA) since 2006. An overarching goal of the Georgia CTSA is to accelerate clinical and translational research to impact health in Georgia and beyond. Toward these ends, a primary objective has been to support interdisciplinary research projects encompassing 2 or more disciplinary domains. The goal of the present study is to evaluate the degree to which interdisciplinary research projects increased in prevalence during the first decade of funding. METHODS/STUDY POPULATION: We began by using PubMed to identify all publications citing the Georgia CTSA hub (n=1865), categorizing each article as encompassing 1 or more research domain using a taxonomy derived from the Web of Science. We created 1 network for each of the 10 years with nodes representing research areas and ties between pairs of nodes representing the presence of 1 or more publication integrating both research areas. We conducted longitudinal network analyses using an approach called MCMC MLE Temporal Exponential Random Graph Models, which models the antecedents of networks over time. RESULTS/ANTICIPATED RESULTS: Supporting Georgia CTSA objectives, results suggest the probability of publications connecting multiple research areas increased over time, with substantially greater increases appearing initially as compared to later years. DISCUSSION/SIGNIFICANCE OF IMPACT: This study advances an innovative approach to modeling the system-wide impact of CTSA hub funding.

OBJECTIVES/GOALS: Building community-engaged research capacity is imperative to improve translation, but not everyone exhibits capacity to conduct research, especially community. We modified the research institute planning and implementation process between 2022 and 2023 to increase community appeal and engagement. METHODS/STUDY POPULATION: The 2022 and 2023 Community-Engaged Research Institutes (CERI) varied in their formats. For 2022, we hosted a one-hour planning session with community-academic dyads from our Community Advisory Board facilitated by the CEO director and co-director. The 2022 CERI consisted of five sessions totaling 12 hours. The first session was hybrid, followed by four virtual sessions. For 2023, we hosted two, facilitated one-hour planning sessions with community partners who attended the 2022 CERI, based on feedback and attendance from 2022. The 2023 CERI was consolidated to a seven-hour, one-day hybrid session. RESULTS/ANTICIPATED RESULTS: In 2022, two community partners participated as CERI panelists. There were 95 unique attendees spanning five days. Of the 95 attendees, 67% (n=64) were researchers and 33% (n=31) were community members. In 2023, eight community partners participated as CERI panelists and presenters. There were 57 unique attendees, of which 61% (n=34) were researchers and 39% (n=23) were community members. When comparing attendance for 2022 (29%, n=28) and 2023 (86%, n=49), in-person attendance was increased by 57%. DISCUSSION/SIGNIFICANCE: In 2023, we focused on research capacity building for community partners to align with community engagement principles and increasing research impact across the translational spectrum. Partnering with community elevated appeal for community participation and an increase in-person attendance.

OBJECTIVES/SPECIFIC AIMS: Approximately 80% of adolescents do not meet the current national guidelines of engaging in 60 minutes or more of physical activity daily. Physical activity is widely recognized as being beneficial for healthy growth as well as important for good mental health and fitness. Interventions are needed that promote and encourage physical activity among this population to reduce the risk of obesity and to encourage maintenance of a healthy weight. Since adolescents enjoy digital technologies, robotic-assisted platforms might be a novel, innovative and engaging mechanism to deliver physical activity interventions. The objective of this study was to assess the potential acceptability of robotic-assisted exercise coaching among diverse youth. METHODS/STUDY POPULATION: This was a pilot study that used a cross-sectional survey design. Adolescents ages 12-17 were recruited at 3 community-based sites. We obtained written informed consent from participants’ parents and guardians as well as assent from participants. We demonstrated the robotic system human interface (also known as the robotic human trainer) to groups of adolescents. We delivered the exercise coaching in real time via an iPad tablet placed atop a mobile robotic wheel base and controlled remotely by the coach using an iOS device or computer. After the demonstration participants were asked to complete a 28- item survey that included questions about socio demographics, smoking history, weight, exercise habits, and depression history. The survey also included the 8- item Technology Acceptance Scale (TAS). RESULTS/ANTICIPATED RESULTS: Participants (N = 190) were 55% (103/189) male, 43% (81/190) racial minority, 6% (11/190) Hispanic, and 28% (54/190) lived in a lower-income community. The mean age of participants was 15.0 years (SD=2.0). Approximately 25% (47/190) of participants met national recommendations for physical activity. Their mean body mass index (BMI) was 21.8(SD_4.0) kg/m2. Of note, 18% (35/190) had experienced depression now or in the past. The mean Technology Acceptance Scale (TAS) total score was 32.8 (SD 7.8) of a possible score of 40, indicating high potential receptivity to the technology. No significant associations were detected between TAS score and gender, age, racial minority status, median income of participant’s neighborhood, BMI, meeting national recommendations for physical activity levels, or depression history. Of interest, 68% (129/190) of participants agreed that they and their friends were likely to use the robot to help them exercise. DISCUSSION/SIGNIFICANCE OF IMPACT: This pilot survey study demonstrated that among a racially and socioeconomically diverse group of adolescents, robotic-assisted exercise coaching is likely acceptable. The discovery that all demographic groups represented in this sample had similarly high receptivity to the robotic human exercise trainer is encouraging for ultimate considerations of intervention scalability and reach among diverse adolescent populations. Next steps include a study to assess the impact of robotic-assisted exercise coaching on adolescents’ exercise and health outcomes.

Objectives/Goals: Primary care physicians (PCPs) have limited awareness of assistive technology (AT) devices that can improve the daily functioning of older adults. This study aimed to assess the quality of the My Assistive Technology Guide (MATG), an informative web app, among PCPs and to describe their experiences using it. Methods/Study Population: In this pilot project, our team – comprising an established researcher, an undergraduate faculty member, and a graduate student – enrolled ten PCPs. In Phase I, the PCPs received training on how to use the MATG and were encouraged to utilize it for 30 days. At the end of this usage period, we implemented a concurrent parallel mixed-method design to collect both quantitative and qualitative data. Quantitative data were gathered using the User Mobile Application Scale (uMARS), while qualitative data was obtained through interviews. Data analysis involved descriptive statistics and thematic content analysis. Results/Anticipated Results: The mean score for the subjective quality of the MATG was high, 4.1 ± 1.1. The information domain received the highest rating, with a mean score of 4.6 ± 0.51, while the engagement domain received the lowest rating, at 3.3 ± 1.5. Overall, subjective quality was rated moderately high (mean 3.9, interquartile range 1.2), with perceived impact rated the highest at 4.8 ± 0.4. PCPs reported increased awareness, knowledge, attitude, intention, and behaviors to learn about AT and to inform and recommend AT devices to older adults. In addition, PCPs provided suggestions to improve the MGAT and its integration into their medical practice. Discussion/Significance of Impact: The results demonstrated the high quality and utility of the MATG, indicating that it could serve as a valuable resource for PCPs in addressing functional disabilities among older adults. Future research should evaluate the effectiveness of the MATG in enhancing older adults’ function in daily living activities.

OBJECTIVES/GOALS: The major objective of this project is two points. First, is to repeat and confirm previous observations that there is elevated cytosolic Line1 DNA in the cytoplasm of cells derived from old mice compared to young. Second is to identify which Line1s in the genome are contributing to this free DNA and test if targeting them rescues the age-related phenotype. METHODS/STUDY POPULATION: This project will focus on data collected from both tissues and primary cells derived from multiple tissues. Using cellular/tissue fractionation kits, we isolate specifically from the cytoplasm. This specificity is confirmed by western blotting. Measurement of the Line1 levels is measured by quantitative PCR. Subsequently, these cytoplasmic samples are sent off for sequencing in order to quantify the length of the free DNA in the cytoplasm and to identify which Line1 genomic families the cytosolic DNA originates. Additionally, FISH is utilized to visualize Line1 DNA in the cytoplasm of aged versus young cells RESULTS/ANTICIPATED RESULTS: We anticipate this research to confirm the hypothesis that extranuclear Line1 DNA accumulates with age in both tissues and primary fibroblasts. Additionally, we expect to be able to determine which specific families of genomic Line1 is driving this extranuclear DNA, which would suggest the active retrotransopable elements that are directly involved in this aging related phenotype. Assuming successful identification of such families, we can then target and silence these specific elements to determine not only if cytoplasmic Line1 in aged mice decreases, but additionally if the healthspan and/or lifespan of these mice improves DISCUSSION/SIGNIFICANCE: Dereoressed Line1s have been shown to be involved in detrimental phenotypes, including autoimmune disease, cancer, and inflammaging. Targeting retrotransposons, either directly through degradation of transcriptional product of LINE1s or indirectly by improving function of regulators, will be crucial in ablating aging phenotypes