OBJECTIVES/SPECIFIC AIMS: Deaf communities in many low- and middle-income countries (LMIC) struggle to organize, advocate, and reach social and health equity in their nations. In the Dominican Republic (DR), the health and social status of Deaf citizens is unclear, which obfuscates action and advocacy based on data. A set of successful pre-existing US-DR partnerships that function well but were not previously connected, organized around submission of a community-based NIH research grant and pilot work to support it. METHODS/STUDY POPULATION: Adapting the Partnership Synergy Framework for this purpose, we evaluate the partnership, its evolution, and its experience in implementing formative research. RESULTS/ANTICIPATED RESULTS: Our experience showed the local Deaf community organization easily recruited and interfaced with the Deaf community; presence of a trusted external organization facilitated entry of the PUCMM-UR research team; and stakeholders are enthusiastic about the partnership, its outputs, and the ability to recruit Dominican Deaf citizens into research. The partnership organized around production of an R21 to the Fogarty International Center (NIH), including Human Subjects certification, budget and scope of work negotiation, and inclusion of preliminary data. DISCUSSION/SIGNIFICANCE OF IMPACT: The engagement of Deaf communities globally is virtually non-existent in clinical and translational research. This partnership in the Dominican Republic shows that partners can organize around common goals and identify logistics required to produce pilot data and an NIH grant.

OBJECTIVES/GOALS: The effect of immunosuppressive metabolites on anti-tumor immunity in human papillomavirus (HPV)-associated vs carcinogen-driven head and neck cancer is unknown. The objective of this study is to define the extent to which metabolites impair this response and identify novel metabolic targets for enhancing anti-tumor immunity. METHODS/STUDY POPULATION: HPV-associated and carcinogen-driven head and neck squamous cell carcinoma specimens were frozen following surgical excision, and tumor sections were cut onto glass slides. Slides were coated in alpha-cyano-4-hydroxy-cinnamic acid (CHCA) matrix and subjected to mass spectrometry imaging using matrix-assisted laser desorption ionization (MALDI) on a Bruker SolariX XR 12T Hybrid QqFT-ICR mass spectrometer run in positive mode. Slides were then stained for immunohistochemistry (IHC) using markers of CD8 T cells, macrophages (CD163), B cells (CD20), and tumor cells (panCK). Mass spectrometry imaging and IHC spatially resolved data will be co-registered and metabolite intensity in regions of interest (cell types) quantified. RESULTS/ANTICIPATED RESULTS: A total of seven HPV-associated (three metastatic lymph nodes and four primary tumors) and six carcinogen-driven (primary tumors) HNSC specimens were subjected to MALDI and IHC. Metabolites significantly enriched in HPV-associated HNSC relative to carcinogen-driven HNSC include 2,3-diphosphoglyceric acid, xanthine, 2,3,5-Trichloromaleylacetate, and indole-3-carboxyaldehyde. Metabolites significantly enriched in carcinogen-driven HNSC relative to HPV-associated HNSC include hesperetin 3'-O-sulfate, hypoxanthine, phosphorylcholine, and L-homocysteine sulfonic acid. In ongoing analyses, we anticipate identifying a relationship between CD8+ T cell enriched vs depleted regions and immunosuppressive metabolites (e.g., kynurenine, adenosine monophosphate). DISCUSSION/SIGNIFICANCE: Defining the extent to which CD8+ T cells interact with the metabolic milieu of the microenvironment will provide a foundation for metabolic Precision Medicine. Strategically targeting metabolic pathways to enhance the anti-tumor immune response will be leveraged for the design and implementation of immune modulatory metabolic therapy.

OBJECTIVES/GOALS: We aim to identify neurodevelopment delays among children who were born prematurely. We will also calculate the sensitivity and specificity of the assessment tools used to measure the neurodevelopmental profile in early childhood of children exposed to the Neonatal Intensive Care Unit (NICU). METHODS/STUDY POPULATION: This cross-sectional study will include 100 premature children who were born between 32 to 37 weeks of gestational age and admitted to NICU at the University Pediatric Hospital in Puerto Rico. Their neurodevelopment will be measured with the Bayley III. Statistical analysis will be performed using IBM SPSS Statistics 25.0. Descriptive statistics will be used, normality distributions among all continuous variables, frequency distribution for categorical variables and logistic regressions to test association of GA and neurodevelopment delay. We will use the raw item scores for each domain of the Bayley III assessments to measure internal consistency using Cronbach’s alpha and factor analysis. RESULTS/ANTICIPATED RESULTS: We anticipate identifying the ND among children born prematurely between 32 to 37 weeks of gestational age and who were admitted to NICU at the University Pediatric Hospital in Puerto Rico. We also expect to find if gestational age impacts adversely ND in children who were born between 32 to 37 weeks of gestation. We will be able to assess if lower gestational age will impact global ND in contrast to higher gestational age neurodevelopment delays in one specific area of development. We will also be able to assess the sensitivity and specificity of the Bayley- III. DISCUSSION/SIGNIFICANCE: Premature is a major global health problem with a 12.0% prevalence. We want to promote early identification of ND in a diverse Hispanic Puerto Rican population so we can guide public health decisions and lead research initiatives to improve outcomes in the future or facing prematurity.

OBJECTIVES/GOALS: Total hip replacement (THR) improves function for those with arthritis, but not all patients have equal access to this elective procedure. To better geographically target healthcare resources, we explored whether geographic socioeconomic disadvantage is associated with incidence of elective THR. METHODS/STUDY POPULATION: We performed a cross-sectional analysis of data in the state of Maryland from 2013-2019. We categorized 5-digit zipcodes into national quartiles of socioeconomic disadvantage using the Area Deprivation Index (ADI). For each zipcode, we calculated the THR incidence rate using Maryland Health Services Cost Review Commission (HSCRC) inpatient and outpatient data in those age 65 years and older. We included only elective THRs. We analyzed the association between a zipcode’s disadvantage quartile and THR incidence rate using multivariate linear regression, correcting for differences across zipcodes in gender, race, and ethnicity distributions, and distance to the nearest hospital performing THRs. RESULTS/ANTICIPATED RESULTS: We analyzed 414 zipcodes with overall average THR rate of 370.8 per 100,000 persons >65yo per year. Relative to zipcodes in the least socioeconomically disadvantaged quartile, those in the second-least disadvantaged had 82.2 fewer THRs per 100,000 persons >65yo per year, those in the second-most disadvantaged had 144.2 fewer, and those in the most disadvantaged had 207.4 fewer (all p65yo per year, those in the second-most disadvantaged had 136.2 fewer, and those in the most disadvantaged had 182.9 fewer (all p <.05). DISCUSSION/SIGNIFICANCE OF IMPACT: More socioeconomically disadvantaged areas have significantly lower rates of elective THR, independent of differences in demographics and hospital proximity. These findings show how disparities can affect access and outcomes, and should inform targeting of community-level education and intervention.

OBJECTIVES/SPECIFIC AIMS: Our overarching theoretical framework is the health belief model (HBM). Guided by HBM, we aim to identify rural adults’ perceived barriers and motivations to participating in research. Specifically, our research questions are listed below. RQ1: What socio-cultural factors influence rural tobacco users’ intentions to a) participate in research studies and b) undertake tobacco cessation? RQ2: What bio-psychological and behavioral factors influence rural tobacco users’ intentions to a) participate in research studies and b) undertake tobacco cessation? RQ3: How do rural tobacco users perceive citizen scientists as disseminators of a) tobacco cessation and b) recruitment messages? METHODS/STUDY POPULATION: In Phase I of this multi-stage project, we are conducting in-depth interviews with approximately 30 tobacco users in rural Florida. The interview consists of semi-structured questions and multiple validated questionnaires. Specifically, we ask a series of questions about participants’ barriers to participating in research. Additionally, we include questionnaires on participants’ tobacco use history, nicotine dependence, motivation to quit, and willingness to participate in research studies. RESULTS/ANTICIPATED RESULTS: This study consists of two main phases. Data collection for Phase 1 of the study is ongoing, and we will discuss these recent findings. We anticipate data collection and data analysis to be finalized by May, 2019. Beginning in August 2019 through August 2020, we will focus on Phase II, which entails designing and implementing an intervention to increase rural tobacco users’ willingness to participate in research. Given existing literature on other underrepresented groups in research, we anticipate that rural tobacco users will express that logistical barriers, such as transportation and time, prevent them from participating in research. Additionally, we anticipate these individuals may have socio-cultural barriers to participating in research, including distrust in the medical system and apprehension over discipline-specific terminology. DISCUSSION/SIGNIFICANCE OF IMPACT: The results of this formative research will be critical to our development of a targeted intervention to increase rural tobacco users’ participation in research. Additionally, our interdisciplinary and community-based approach in this study acknowledges the importance of involving the target population in the research process, which is in line with NIH’s updated model of translational research. We will discuss the process of collaborating with extension agents in rural counties in Florida to reach underrepresented communities.

OBJECTIVES/SPECIFIC AIMS: We evaluated the accuracy of diagnosis and procedure codes to identify acute urinary retention (AUR) due to lack of existing validation studies. METHODS/STUDY POPULATION: We performed a cross-sectional validation study at a single medical institution in the emergency department (ED) and outpatient Urology Clinic in men ≥45 years. International Classification of Diseases, Ninth Revision, Clinical Modification (ICD-9-CM) diagnosis codes 788.20, 788.21, 788.29 for urinary retention and Current Procedural Terminology, Fourth Edition (CPT-4) codes 51701, 51702, 51703 for urinary catheterization were used to identify men with potential AUR. Four algorithms using ICD-9-CM and CPT-4 codes were compared against medical record review. Sensitivity, specificity, positive predictive value, negative predictive value, and area under the curve were calculated for both the ED and Urology Clinic. RESULTS/ANTICIPATED RESULTS: A total of 333 treated and released men in the ED were identified using facility billing data, and 245 men using physician billing data in the Urology Clinic were identified using the codes for urinary retention or urinary catheterization. Of the 4 algorithms, any ICD-9-CM diagnosis code for urinary retention was the preferred algorithm with a sensitivity and specificity of 0.95 and 0.91 using ED facility billing data and a sensitivity and specificity of 0.95 and 0.58 using Urology physician billing data. DISCUSSION/SIGNIFICANCE OF IMPACT: Use of the ICD-9-CM diagnosis codes for urinary retention performed well at identifying AUR in the ED. This study provides justification to use urinary retention diagnosis codes (specifically 788.20 and 788.29) in future studies to identify AUR using administrative data, especially in the ED.

OBJECTIVES/GOALS: Patient online portal (POP) allows patients to access electronic health records (EHRs) and have efficient communication with their clinicians. We assessed disparities in access to POP by families with different SES and its impact on asthma research which is little known in the literature. METHODS/STUDY POPULATION: A randomized controlled trial testing the efficacy of an EHRs-based clinical decision support (CDS) system was conducted at a pediatric primary care setting of Mayo Clinic. Asthma Control Test (ACT) questionnaire was administered to parents every 3 months through phone or email for this study after consenting, and reminders were sent to unanswered subjects through the POP. SES was measured by HOUSES (in quartiles), a validated individual-level SES index based on housing features (the higher HOUSES, the higher SES).The association of HOUSES with availability of POP access and missing ACT score rate was assessed. RESULTS/ANTICIPATED RESULTS: The mean age of 184 participants was 9.0 years (57% male) and parents of 152 (83%) children had POP. Only 68% of children from lowest HOUSES (Q1) had access to POP (vs. 74% (Q2), 88% (Q3), and 92% (Q4; highest SES); p = .02). ACT score was completed by 144 (78%), 150 (82%), 171 (94%), and 164 (95%) at each intervention conducted every 3 months with a total of 61 (33%) missing at least once. Overall, children whose parents had access to POP had a lower missing rate in ACT score at all interventions during the study; 16% (those with access to POP) vs. 47% (those without), 13% vs. 44%, 3% vs. 16%, and 1% vs. 23% for 1st, 2nd, 3rd, and 4th intervention, respectively (p < .007 for all). DISCUSSION/SIGNIFICANCE OF IMPACT: There are significant disparities in access to POP by SES defined by HOUSES which impact availability of ACT score resulting in a systematic bias in asthma research and potentially widening disparities in asthma care. CONFLICT OF INTEREST DESCRIPTION: NA.

OBJECTIVES/GOALS: Transportation is a barrier to research participation, especially for participants from disadvantaged backgrounds. Our goal was to review existing policies and create recommendations for institutional guidance on research-related transportation to support a long-term birth cohort study. METHODS/STUDY POPULATION: To summarize existing institutional policies on research-related transportation (i.e., transportation of participants or research staff travel to/from research activities), we requested and, in addition, searched for such policies across 28 sites involved in the NIH HEAL Initiative’s HEALthy Brain and Child Development (HBCD) study. The HBCD study plans to enroll 7,500 pregnant/postpartum persons, follow their children and families long-term, and assess factors influencing brain and child development. The obtained policies were then summarized, followed by identification of gaps in their recommendations and guidance. RESULTS/ANTICIPATED RESULTS: Outreach to the HBCD study sites and search of their institutional websites resulted in identification of 6 institutional policies or other guidance related to research-related transportation across five HBCD study sites. Three policies/guidance related to ride-share programs in research, two related to reimbursement for participant travel, and the fifth was about car seats. Through the online search, we also found policies or written guidance about employee-related transportation within 15 HBCD study sites in total; they largely pertained to employee business travel and did not specifically address research-related transportation. DISCUSSION/SIGNIFICANCE: To optimally support research teams, participants, and to promote the enrollment and retention of participants from diverse backgrounds, it is critical for research institutions to develop and implement guidance on research-related transportation and remove barriers to participation in research.

OBJECTIVES/SPECIFIC AIMS: To characterize parent communication frequency and content between systems of care (medical, school, and sports/recreation) of concussed youth who are in prolonged recovery. METHODS/STUDY POPULATION: In this ongoing study, 16 concussed youth (average age=14.9 years, SD=1.5; 31.2% female and 68.8% male) and their parent study partner (average age=44.3 years, SD=4.3; 87.3% female and 12.5% male) have been enrolled to date from sports medicine clinics. Demographic information was obtained during the initial clinic intake session. Weekly phone calls were also conducted with the parent and child until the child was considered asymptomatic (ie, reporting no symptoms on the SCAT3), to collect data on communication with the school, sport/recreation, and medical systems throughout the recovery process. For the purpose of this study, we evaluated communication patterns of those parents who had a child in prolonged recovery (ie, symptomatic 14 d or more post-concussion injury). Communication variables included frequency (ie, number of times a parent contacted or attempted to contact a system of care) and content or topic discussed during the contact event. RESULTS/ANTICIPATED RESULTS: Of the 16 enrolled participants to date, 68.8% (n=11) experienced concussion related symptoms 14 days postinjury (M=22.2, SD=4.6) at the time of their 2 week follow-up call and were thus considered to be in prolonged recovery. Of those 11, 81.8% (n=9) of parents reported communicating with the school system at some point between the initial clinic intake session and the 2 week follow-up phone call. The frequency of communication for this period ranged between 0 and 10 instances of contact (M=2.5, SD=2.9). Of the 11 prolonged cases, 8 participants were members of sports teams. Sixty-three percent (n=5) of those parents with a child on a sports team communicated with a coach while none of the parents contacted a team athletic trainer. The frequency of communication with the coach ranged from 0 to 8 (M=1.5, SD=2.5) over the course of 2 weeks from enrollment. With regards to the medical system, the majority of parents (72.7%, n=8) communicated at least once with a medical professional during the same time period. The frequency of communication with the medical system ranged from 0 to 8 (M=2.2, SD=2.6) points of contact. Themes that arose for communicating with the school system included informing school personnel of academic accommodations prescribed by the physician, explaining absences, and concerns about missed academic work and grades. The content of communication with the sports system (ie, coach) pertained to return-to-play issues as well as progress updates on recovery. Themes for communication with the medical system were centered on scheduling appointments, attending follow-up medical appointments, and starting return-to-play protocols. DISCUSSION/SIGNIFICANCE OF IMPACT: Parents of concussed youth who were still in prolonged recovery, for the most part, appear engaged in communicating with multiple systems of care. However, a subset of parents did not participate in contact with these systems. Further discussion of these findings will highlight areas for improvement in concussion management as well as strategies parents can utilize to advocate for their child in terms of return-to-learn and recovery.

OBJECTIVES/GOALS: AI is diagnosed when peak cortisol level after a cosyntropin stimulation test is <18 mg/dL using polyclonal antibody (pAb) immunoassay. However, the polyclonal assay is being replaced by a specific monoclonal antibody (mAb) immunoassay which yields lower cortisol levels, leading to the over diagnosis of AI and use of unnecessary steroid use. METHODS/STUDY POPULATION: We obtained 36 samples from patients undergoing 1 mcg cosyntropin stimulation tests for diagnosis of AI. Samples were analyzed using pAb immunoassay (Abbott Architect Cortisol), mAb immunoassay (Roche Elecsys Cortisol II), and mass spectrometry (MS). AI was diagnosed if serum cortisol level was <18 using the pAb immunoassay. Measurements by MS and mAb immunoassay were individually used in simple logistic regression models to predict AI. For each model, we calculated a cortisol level corresponding to a 50% probability (median) of AI and used the delta method to determine the standard error and 95% confidence interval of the median. We used receiver operator characteristic (ROC) curve, area under the curve, sensitivity, and specificity to evaluate the potential of the median values as thresholds for each predictor. RESULTS/ANTICIPATED RESULTS: Data showed a mean cortisol level of 17 mcg/dL using the pAb immunoassay, 12 mcg/dL using the mAb immunoassay, and 12.96 mcg/dL using MS. The mean difference in cortisol level between the mAb immunoassay and the pAb immunoassay was 5.12 mcg/dL (p-value <0.01). The ROC curve model indicated an area under the curve of 0.997 with a median value of 11.2 mcg/dL for the mAb immunoassay. This provides a sensitivity of 95%, specificity of 95%, positive predictive value of 95%, and negative predictive value of 94%. This new threshold has a Kappa coefficient of 0.89 when compared to the pAb immunoassay. DISCUSSION/SIGNIFICANCE: New and highly specific mAb immunoassays are being used more widely but yield lower cortisol results. This reflects the need for further studies to determine new cut off points for highly specific cortisol immunoassays. A cut off level of 11.2 mcg/dL would provide a sensitivity of 95% and specificity of 95%.

OBJECTIVES/GOALS: The primary objective of this study was to define the transcriptomes and transcriptional regulatory network required for the development and function of adaptive Natural Killer (NK) cells in donors with latent human cytomegalovirus (HCMV) infection. METHODS/STUDY POPULATION: Eight healthy adult human spleens were obtained from four HCMV seropositive and four HCMV seronegative donors. Spleens were provided by the Versiti Organ Donor Center of Wisconsin and were processed to a single cell suspension. CD7+ CD3E- CD14- CD19- CD20- NK cells were isolated, using the BD FACSAria sorter. Following cell sorting, single-cell RNA sequencing (scRNA-seq) was performed, and cDNA libraries were constructed and sequenced via NextSeq 550. Cell Ranger was then used to algin the cDNA reads and the Seurat R package was used to analyze the transcriptional data. Cells were filtered and clustered based on the number of uniquely expressed genes. The monocle software was used for single cell trajectory analysis and the SCENIC software was used to decipher gene regulatory networks. RESULTS/ANTICIPATED RESULTS: Eight healthy spleens from four HCMV seropositive and four HCMV seronegative donors were obtained and their NK cells were sorted and captured for scRNA-seq. Donor median age was 59 [IQR 48.5-56.5], 50% (n=4) were female and all donors were not experiencing any acute or chronic symptoms. Using scRNA-seq, we observed elevated numbers of NKG2C+ adaptive NK cells in HCMV seropositive individuals when compared to HCMV seronegative individuals. In addition, we identify a set of transcription markers and regulators that are responsible for the development and function of adaptive NKG2C+ NK cells. Finally, our trajectory analysis of adaptive NKG2C+ NK cells revealed a unique developmental pathway. DISCUSSION/SIGNIFICANCE: Here, we demonstrate that HCMV infection can induce the formation of adaptive NKG2C+ NK cells that display a unique transcriptional and developmental profile. These findings have the potential to influence the future application of adaptive NK cells in cellular immunotherapies.

OBJECTIVES/GOALS: A primary care clinic is opening in the Eva Rothwell Center (ERC) located in the Keith Neighbourhood of Hamilton, Ontario. This new clinic aims to address rampant health disparities in the community. Effective delivery of health services requires a robust model of care that meets and sustains the specific needs of the community and clinic providers. METHODS/STUDY POPULATION: The primary objective of this study is to describe the current health needs of Keith Neighbourhood residents. The secondary objective is to describe the needs of health providers working within the ERC health clinic. Data collection will involve the collection of primary data (through methods such as surveys and interviews) and secondary data (including historical and current census data). Primary data analysis for primary will use conventional quantitative and qualitative methods. Finally, researchers will use the analyzed data to develop a context-appropriate initial model of care for the ERC health clinic and a subsequent evaluation plan to assess the model’s effectiveness and sustainability. RESULTS/ANTICIPATED RESULTS: All primary and secondary data will be synthesized into a report that will inform the development and implementation of two main deliverables. The first deliverable will be a framework for the clinic’s initial model of care that is context-appropriate to the current needs of the Keith Neighbourhood. The model of care will be culturally sensitive and trauma-informed. The second deliverable will be an evaluation plan for the clinic that can be used to continuously iterate on the initial model, ensuring its sustainability. Furthermore, the project’s process may be extrapolated into a framework that could be used to establish primary care clinics within other priority communities. DISCUSSION/SIGNIFICANCE: The proposed model of care will enable practitioners to deliver relevant and timely health services while being adaptable to the community’s evolving needs. It will help improve the Keith Neighbourhood residents' long-term health and social outcomes. This project will contribute to and inform the development of the field of translational science.

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.