OBJECTIVES/GOALS: Observational studies suggest unequal effects of COVID-19 on the population of the U.S. distinguished by race and ethnicity. Our primary research question: what are the demographic differences among patients identified with concurrent ischemic stroke and COVID-19 positivity? METHODS/STUDY POPULATION: The National Covid Cohort Collaboration (N3C) data was used to identify patients with concurrent COVID-19 and stroke, operationally defined as those with a COVID diagnosis and inpatient admission for ischemic stroke 1 week before or 6 weeks after their COVID diagnosis. The data was further age restricted (18-65 years) and a categorical variable was created representing payer plans (Medicaid, Medicare, Other insurance). Data on patients race/ethnicity, comorbidities, treatments administered (Remdesivir and ECMO) and insurance information was analyzed using various exploratory data methods and visualizations. Logistic regression was implemented to model the relationship between variables (dependent/independent) in the cohorts. Model complexity was analyzed using the F test of significance. RESULTS/ANTICIPATED RESULTS: Taken as a whole, the data contained over 7 billion rows and around 6.4 million persons (~ 2.15 million of whom were COVID+). The main cohort of individuals with concurrent COVID positivity and ischemic stroke made up around 0.29% of the original COVID+ group, and the payer plan sub-cohort consists of around 29.26% of our main cohort. Black/African American (AA) and the Hispanic/Latino any Race have younger distributions (median ~ 65 years), while the White Non-Hispanic group has the oldest distribution (median ~ 70 years). Black/AA had the highest average number of comorbidities per patient (4.49), compared to white non-Hispanic (3.39) and Asian non-Hispanic (2.59). In our analysis, Medicaid patients had lower odds of obtaining ECMO (p < .01), there was no significant difference in Remdesivir treatment. DISCUSSION/SIGNIFICANCE: We found the N3C data to be useful in studying a distinct group of patients, and exploring COVID-19 and ischemic stroke treatment across patients’ race/ethnicity identities and insurance status. Our exploratory analysis provides a foundation for further insight into demographic trends and discrepancies in apportionment of treatment.

Objectives/Goals: Using secure systems for sharing documents with external collaborators is essential for all researchers. These documents may include protected health information (PHI) or sensitive materials like protocols, study reports, DSMB reports, publications, presentations, abstracts, and statistical analysis plans (SAPs). Methods/Study Population: We surveyed the ACTS Biostatistics, Epidemiology, and Research Design Special Interest Group (BERD-SIG) to gather information about the systems they are currently using or have used in the past for document sharing with external collaborators. The survey focused on the security of these systems, particularly in relation to sharing documents containing PHI. In addition, the survey included questions about various system features of interest. These features included version control, simultaneous editing by multiple users, and access rights management, such as the ability to assign different permissions (e.g., read-only, write, and download) to different individuals. We also invited participants to provide feedback on any additional positive or negative aspects of the systems they use. Results/Anticipated Results: We received 28 completed survey responses. Respondents had an option for choosing more than one system. The top current systems reported were Microsoft Teams (OneDrive, SharePoint) (n = 16), Box (n = 11), Google Docs/Drive (n = 10), and Dropbox (n = 6). Among other systems listed individually were Filelocker, REDCap, Slack, Website, Significant Media Shuttle, and Zulip. Notably, 15 responses indicated the respondents were unsure if their system is secure for sharing documents containing PHI. Respondents also offered feedback on both the positive and negative aspects of these systems. For example, a key advantage of Box was its password-controlled access. However, its incompatibility with office tools and the challenges for external collaborators attempting to access the system were noted as drawbacks. Discussion/Significance of Impact: Utilizing secure institutional document-sharing systems and understanding their features significantly affects the effectiveness and security of collaborations among researchers, particularly with external partners. This knowledge is especially crucial when sharing documents containing sensitive patient and study data.

OBJECTIVES/GOALS: We were interested in health equity research for each CTSA-affiliated institution, specifically focusing on cross department and cross-campus co-authorship. We conducted a bibliometric analysis of our CTSA-funded papers relating to diversity and inclusion to identify cross department and cross-campus collaborations. METHODS/STUDY POPULATION: We worked with our CTSAs Racial Justice, Diversity, Equity and Inclusion Task Force to conduct an environmental scan of diversity and inclusion research across our CTSA partner institutions. Using the Scopus database, searches were constructed to identify and retrieve the variety of affiliations for each of the CTSA authors, a health equity/health disparities search hedge, and all of our CTSA grant numbers. We limited the dates from the beginning of our CTSA in 2008-November 2021. We used PubMed to retrieve all MeSH terms for the articles. We used Excel to analyze the data, Python and NCBIs Entrez Programming Utilities to analyze MeSH terms, and VOSviewer to produce the visualizations. RESULTS/ANTICIPATED RESULTS: The results of this search yielded 94 articles overall. We broke these up into subsets (not mutually exclusive) to represent five of the researcher groups across our CTSA. We analyzed the overall dataset for citation count, normalized citation count, CTSA average authors, gender trends, and co-term analysis. We also developed cross department co-authorship maps and cross-institutional/group co-authorship maps. DISCUSSION/SIGNIFICANCE: This poster will demonstrate both the current areas where cross-departmental and cross-institutional collaboration exists among our CTSA authors, as well as identify potential existing areas for collaboration to occur. These findings may determine areas our CTSA can support to improve institutional performance in addressing health equity.

ABSTRACT IMPACT: This study provides public health and K-12 school districts with a pragmatic, flexible, adaptable model showing COVID-19 transmission dynamics, using local data and program elements that are modifiable and with an online model for easy use, to enable safe and equitable re-opening and maintenance of in-person learning. OBJECTIVES/GOALS: School closures resulting from the COVID-19 pandemic disrupt student education and health and exacerbate inequities. Public health agencies and school districts currently lack pragmatic models to assess the effects of potential strategies for resuming and maintaining in-person learning on outcomes such as transmission and attendance. METHODS/STUDY POPULATION: This study explored how various combinations of transmission-mitigating interventions affect health and learning outcomes in a range of underlying epidemiological conditions. The CTSA science team developed a conceptual framework and an agent-based simulation model with parameters including prevalence, transmission, testing, preventive and responsive actions, infection control, population behavior and awareness, and the potential impact of vaccine adoption and exemption policies. The team partnered with a large school district to ensure relevance of the program components to decision-making. RESULTS/ANTICIPATED RESULTS: The model shows that no single program element or condition ensures safety. Combining interventions can result in synergy in the mitigation efforts. Even without testing, an efficient health screening process with forthcoming risk reporting, combined with on-campus infection control, can reduce on-campus transmission. The resulting model is accessible online to enable exploration of likely scenarios. It is adaptable as COVID-19 science evolves, including for testing and vaccines. DISCUSSION/SIGNIFICANCE OF FINDINGS: This research provides public health agencies and school districts with a model that couples local conditions with programmatic elements to help inform the local COVID-19 response, recognizing that decisions about the school community are often complex politically, technically, and operationally when it comes to addressing a health crisis.

OBJECTIVES/SPECIFIC AIMS: Increased retinal protein O-GlcNAcylation occurs in response to hyperglycemia and contributes to diabetic retinopathy. Renin-angiotensin system (RAS) blockers reduce the incidence of diabetic retinopathy. Beneficial effects of RAS blockers are often attributed to production of angiotensin-(1-7) (Ang1-7). The objective here is to determine the impact of Ang1-7 on retinal protein O-GlcNAcylation. METHODS/STUDY POPULATION: C57/BL6 mice were fed a high-fat diet for 8 weeks and then treated for 3 weeks with either a vehicle control, the RAS blocker captopril, or captopril and the Ang1-7 receptor antagonist A779. R28 cells were used to assess levels of O-GlcNAcylated proteins in response to Ang1-7, and the role of cAMP was investigated with addition of forskolin, 6-Bnz-cAMP-AM, and 8-pCPT-2-O-Me-cAMP-AM to cell culture medium. RESULTS/ANTICIPATED RESULTS: Captopril attenuated retinal protein O-GlcNAcylation in mice fed a high-fat diet. This effect was reversed by A779. Ang1-7 attenuated protein O-GlcNAcylation and increased cAMP levels. Forskolin and the EPAC selective cAMP analog 8-pCPT-2-O-Me-cAMP-AM, but not the PKA selective cAMP analog 6-Bnz-cAMP-AM, attenuated O-GlcNAcylation. Inhibiting EPAC blocked the effect of forskolin, whereas inhibiting PKA did not. DISCUSSION/SIGNIFICANCE OF IMPACT: This study demonstrates a novel role for Ang1-7 in the retina and identifies a potential EPAC-dependent mechanism that regulates protein O-GlcNAcylation. Thus, future therapeutics targeted at an Ang1-7/EPAC axis in retina may be used to address DR.

OBJECTIVES/GOALS: Greater cognitive function (CF) is associated with adherence to prescription medications, better program adherence and weight loss (WL) following bariatric surgery. The purpose of this study was to evaluate the association between baseline CF, intervention dropout, adherence and 3-month WL. METHODS/STUDY POPULATION: 107 (Mage = 40.9 yrs.), overweight/obese (BMI = 35.6 kg/m2) men (N = 17) and women (N = 90) completed a 3-mo. WL intervention. Participants were asked to attend weekly behavioral sessions, comply with a reduced calorie diet and complete 100 min of moderate intensity physical activity (PA)/wk. CF tasks including Flanker (attention), Stroop (Executive control) and working memory, body weight and cardiovascular fitness (covariate) were assessed at baseline and 3-mos. Session attendance, adherence to PA and diet prescriptions and number of off-diet episodes were recorded weekly. RESULTS/ANTICIPATED RESULTS: Results indicated that attention was positively correlated with session attendance (p = 0.016), adherence to the diet (p < 0.01) and PA (p = 0.023). Executive control was positively correlated with WL (p = 0.042). Working memory (two tasks) was also positively correlated with WL (p = .017 and p = .025). Analysis of variance (ANOVA) indicated that baseline attention (p = .012) was positively related to WL and negatively associated with drop out (p < .05). Hierarchical linear regression showed executive control (p = .036, R2 = .054) and working memory (p = .013, R2 = .073 and p = .017, R2 = .068) were associated with WL when controlling for fitness. DISCUSSION/SIGNIFICANCE OF IMPACT: These results suggest that stronger baseline attention is associated with completion of a 3-mo. WL intervention. Executive control and working memory are associated with amount of WL achieved. Additional, larger and longer trials to assess the role of baseline CF on WL and evaluating the impact of interventions designed to improve CF on WL are indicated.

ABSTRACT IMPACT: We developed a novel semi-automated computational platform to quantify spatial characteristics of preserved peripheral visual field loci in retinitis pigmentosa. This work may inform future research on therapies to prevent visual field loss in retinitis pigmentosa and related diseases. OBJECTIVES/GOALS: Retinitis pigmentosa (RP) causes progressive and severe peripheral visual field (pVF) loss in some but not all patients. The characteristics of pVF in RP are incompletely understood. We developed a novel semi-automated computational platform to quantify the spatial characteristics of pVF. METHODS/STUDY POPULATION: We analyzed preserved pVF size and location in both eyes of RP patients using the Goldmann V4e isopter. We developed a custom algorithm in MATLAB to align and average the binary V4e isopter segmentations, and generated a two-dimensional probability map of the spatial distribution of preserved pVF loci along the radial and circumferential dimensions. To adjust for disease duration, cases were categorized by the time from self-reported symptom onset. Probability maps of pVF preservation were generated for categories of disease duration using unsupervised K-means clustering. Analyzing cases with longitudinal data, we identified loci of stable pVF over time. RESULTS/ANTICIPATED RESULTS: A total of 152 patients were included (N=304 eyes). The mean age was 46.7 years and 49.3% were male. Disease duration was categorized as <20 years (N=72, 47.4%), 20-40 years (N=60, 39.5%), or >40 years (N=20, 13.2%). Longitudinal data (3.2 -5.7 years of follow-up) were available in 65 patients (42.8%). Probability plots of preserved pVF loci in the cross-sectional dataset showed that the median percentage of preserved pVF loci were located between 50 ºand 80 ºeccentricity and between the 30 ºto 50 ºmeridians, with highly concordant inter-ocular symmetry. Probability plots in the longitudinal dataset showed that inferotemporal pVF loci were most likely to be preserved over time. DISCUSSION/SIGNIFICANCE OF FINDINGS: Semi-automated quantification of pVF loci is a useful platform to analyze spatial characteristics of the visual field in RP. Certain portions of the pVF may be relatively resistant to functional decline. Understanding the molecular basis of pVF resilience will inform further research on RP therapy.

OBJECTIVES/SPECIFIC AIMS: Selective loss of long-projecting neural circuitry is a common feature of many neurodegenerative diseases, such as the vulnerable nigrostriatal pathway in Parkinson’s disease (PD). Current in vitro approaches for studying disease development generally do not mimic complex anatomical features of the afflicted substrates such as long axonal pathways between stereotypical neural populations. Such exquisite features are not only crucial for neural systems function but may also contribute to the preferential vulnerability and pathophysiological progression of these structures in neurodegenerative disease. We have previously developed micro-tissue engineered neural networks to recapitulate the anatomy of long-projecting cortical axonal tracts encased in a tubular hydrogel.1 Recently, we have extended this work to include the first tissue-engineered nigrostriatal pathway that was anatomically-inspired to replicate the structure and function of the native pathway.2 Notably, this tissue-engineered brain pathway possesses three-dimensional (3D) structure, multicellular composition, and architecture of long axonal tracts between distinct neuronal populations. Therefore, in the current study we apply this system as a biofidelic test-bed for evaluating axonal pathway development, maturation, and pathophysiology. METHODS/STUDY POPULATION: Dopaminergic neurons from the ventral mesencephalon and medium spiny neurons (MSNs) from the striatum were separately isolated from rat embryos. Tissue-engineered nigrostriatal pathways were formed by initially seeding dopaminergic neuron aggregates at one end of hollow hydrogel micro-columns with a central extracellular matrix, collectively spanning up to several centimeters in length. Several days later, tissue-engineered MSN aggregate was seeded on the other end and was allowed to integrate. Immunocytochemistry (ICC) and confocal microscopy were used to assess health, cytoarchitecture, synaptic integration, and mitochondrial dynamics with stains that label cell nuclei (Hoechst) and mitochondria (MitoTracker Red) and antibodies that recognize axons (anti-β-tubulinIII), neurons/dendrites (anti-MAP2), dopaminergic neurons/axons (anti-tyrosine hydroxylase; TH), and MSNs (anti-DARPP-32). RESULTS/ANTICIPATED RESULTS: Seeding tubular micro-columns with dopaminergic neuronal aggregates resulted in unidirectional axonal extension, ultimately spanning >5mm by 14 days in vitro. For constructs also seeded with Tissue-engineered, ICC confirmed the presence of the appropriate neuronal sub-types in the two aggregate populations, specifically TH+ dopaminergic neurons and DARPP-32+ MSNs. Moreover, confocal microscopy revealed extensive axonal-dendritic integration and synapse formation involving the dopaminergic axons and MSN somata/dendrites. Collectively, these constructs mimicked the general cytoarchitecture of the in vivo nigrostriatal pathway: a discrete population of dopaminergic neurons with long-projecting 3D axonal tracts that were synaptically integrated with a population of MSNs. Mitochondria structure along axonal tracts was also observed using MitoTracker staining, revealing dynamic intra-axonal mitochondrial motility in this system. Ongoing studies are evaluating real-time mitochondrial dynamics and axonal physiology in this tissue-engineered nigrostriatal pathway in vitro, under both baseline conditions as well as following the addition of exogenous α-Synuclein fibrils to model synucleinopathy in PD. DISCUSSION/SIGNIFICANCE OF IMPACT: This tissue-engineered nigrostriatal pathway provides an anatomically-inspired platform with neuronal-axonal architecture that structurally and functionally emulates the nigrostriatal pathway in vivo. We are applying this paradigm as a powerful in vitro test-bed for understanding mitochondrial activity and inter-axonal energetics pathways under homeostatic as well as PD pathological conditions. Successful demonstration will serve as proof-of-concept that this technique can be used to study mitochondria pathology in personalized constructs built using cells derived from PD patients in order to evaluate pharmacological therapies targeted at improving mitochondrial resiliency and fitness so as to delay and/or prevent dopaminergic axonal/neuronal degeneration in tailored to specific PD patients.

OBJECTIVES/GOALS: Computational pathology is an emerging discipline that resides at the intersection of engineering, computer science, and pathology. There is a growing need to develop innovative pedagogical approaches to train future computational pathologists who have diverse educational backgrounds. METHODS/STUDY POPULATION: Our work proposes an iterative approach toward teaching master’s and Ph.D. students from various backgrounds, such as electrical engineering, biomedical engineering, and cell biology the basics of cell-type identification. This approach is grounded in the active learning framework to allow for observation, reflection, and independent application. The learners are trained by a team of an electrical engineer and pathologist and provided with eight images containing a glomerulus. They must then classify nuclei in each of the glomeruli as either a podocyte (blue), endothelial cell (green), or mesangial cell (red). RESULTS/ANTICIPATED RESULTS: A simple web application was built to calculate agreement, measured using Cohen’s kappa, between annotators for both individual glomeruli and across all eight images. Automating the process of providing feedback from an expert renal pathologist to the learner allows for learners to quickly determine where they can improve. After initial training, agreement scores for cells scored by both the learner and the expert were high (0.75), however, when including cells not scored by both the agreement was relatively low (0.45). This indicates that learners needed more instruction on identifying unique cells within each image. This low-stakes approach encourages exploratory and generative learning. DISCUSSION/SIGNIFICANCE: Computation medical sciences require interdisciplinary training methods. We report on a robust approach for team-based mentoring and skill development. Future implementations will include undergraduate learners and provide opportunities for graduate students to engage in near-peer mentoring.

OBJECTIVES/GOALS: An estimated 87% of torture survivors, or 27 million people globally, suffer from chronic pain such as brachial plexopathy from upper extremity suspension or lumbosacral plexus injury from leg hyperextension. However, a vast majority of pain is undetected by evaluators due to a lack of diagnostic tools and confounding psychiatric illness. This diagnostic gap results in exclusive psychological treatment rather than multimodal therapies, substantially limiting rehabilitation, placing vulnerable individuals at higher risk of drug abuse, and increasing healthcare expenditures. We hypothesized that the novel application in torture survivors of a validated pain screen can supplement the UNIP and improve its sensitivity for pain from approximately 15% to 90%, as compared to the reference standard. METHODS/STUDY POPULATION: In this prospective, blind comparison to gold standard study, 25 patients who survived torture by World Medical Association definition first received the standard evaluation protocol for torture survivors (United Nations Istanbul Protocol, UNIP) by a trained evaluator, and subsequently received a validated pain screen (Brief Pain Inventory Short Form, BPISF) followed by a non-invasive examination by a pain specialist physician (reference standard). The primary outcome was the diagnostic and treatment capability of the standard protocol (index test) versus the validated pain screen (BPISF), as compared to the reference standard. RESULTS/ANTICIPATED RESULTS: Providers using only the UNIP detected and treated pain in a maximum of 16% of patients as compared to 85% of patients who were diagnosed with pain by the reference standard. When employed, the validated pain screen had a sensitivity of 100% [95% CI: 72% - 100%] and a negative predictive value of 100%, as compared to a sensitivity of 24% [95% CI: 8% - 50%] and negative predictive value of 19% by the index test. The difference in the sensitivity of the UNIP as compared to the BPISF was significant, with p < 0.001. DISCUSSION/SIGNIFICANCE OF IMPACT : These data indicate that the current global standard assessment of torture survivors, the United Nations Istanbul Protocol, should be supplemented by the use of a validated pain screen to increase the accuracy of chronic pain diagnosis. This would change the standard medical assessment of 70.8 million people globally, a number that continues to rise by nearly 45,000 people each day. ClinicalTrials.gov protocol number NCT03018782.

OBJECTIVES/SPECIFIC AIMS: Urinary tract infections (UTIs) serve as one of the most common infections affecting women. With rising reports of antibiotic resistance (ABR), which can prolong illness and limit treatment options, the Infectious Disease Society of America recommends using local resistance patterns to shape empirical treatment selection. Although no studies have evaluated ABR in Ureaplasma spp. urinary isolates in college-aged women, regional studies in the Southeast United States have found levels of tetracycline resistance in over 30% of Ureaplasma spp. clinical isolates. Thus, this study aims to determine the antibiogram for 73 Ureaplasma spp. and 10 Mycoplasma hominis isolates collected from women with first-time UTI against a panel of 9 antibiotics, and assess resistant isolates for genetic mechanisms associated with resistance. METHODS/STUDY POPULATION: This study used archival samples and data collected from college-aged women with first-time UTI recruited to participate in a prospective cohort study conducted at a student healthcare facility from 2001 to 2006 in Florida. Ureaplasma spp. and M. hominis isolates cultured from urine samples collected at the initial clinical presentation and for any recurrent UTI were evaluated for susceptibility to a panel of 9 antibiotics (8 for M. hominis) using validated microbroth and agar dilution methods, respectively. Ureaplasma spp. isolates were tested against azithromycin, chloramphenicol, ciprofloxacin, clindamycin, erythromycin, doxycycline, gentamicin, levofloxacin, and tetracycline. M. hominis isolates underwent the same testing, with the addition of linezolid and exclusion of azithromycin and erythromycin, as M. hominis is intrinsically resistance to 14 and 15-membered macrolides and azilides. PCR and Sanger sequencing were employed to identify molecular mechanisms associated with resistance. RESULTS/ANTICIPATED RESULTS: Of the 73 Ureaplasma spp. isolates, 1 isolate was resistant to levofloxacin (MIC: 4 µg/mL) and 1 to tetracycline (MIC: 8 µg/mL). All M. hominis isolates were sensitive. For the Ureaplasma spp. isolates, MIC90s were highest against gentamicin (32 µg/mL) and lowest against doxycycline (0.25 µg/mL). PCR amplification identified tetM present in the tetracycline resistant isolate, an established gene associated with tetracycline resistance in Ureaplasma spp. A S83W mutation within the quinolone-resistance-determining region (QRDR) of parC was detected in the levofloxacin resistant isolate. DISCUSSION/SIGNIFICANCE OF IMPACT: Overall, antibiotic resistance in this population of college-aged women with first-time UTI was low. A previous study detected a novel S83W substitution in a perinatal Ureaplasma spp. isolate from Japan, and provided in silico evidence that a S83W change would prevent levofloxacin from binding to its target. However, that study was unable to cultivate the isolate. Our study has provided the corresponding phenotypic evidence that a S83W substitution results in quinolone resistance in Ureaplasma spp.

OBJECTIVES/SPECIFIC AIMS: In June 2016, the FDA cautioned against the use of SGLT-2 inhibitors because of increased risk of acute kidney injury (AKI) after 101 cases of AKI were reported between March 2013 and October 2015. This study seeks to determine risk of AKI associated with SGLT-2 inhibitors in a large cohort of type 2 diabetic patients. METHODS/STUDY POPULATION: Retrospective cohort study including SGLT-2 inhibitor users and nonusers in the Mount Sinai Chronic Kidney Disease Registry between January 2013 and September 2016. SGLT-2 inhibitor users and nonusers were type 2 diabetics with new SGLT-2 inhibitor prescription after January 2013 and an outpatient visit between 2013 and 2015, respectively. Subjects were propensity matched by nearest neighbor method based on demographics, comorbidities, laboratory values, medications, estimated glomerular filtration rate (eGFR), and length of follow-up. The primary end point was AKI (defined by KDIGO laboratory algorithm) occurring during the follow-up period. RESULTS/ANTICIPATED RESULTS: In total, 372 SGLT-2 inhibitor users [mean age 63 years; 205 (55%) men] and 372 [mean age 63; 194 (52%) men] nonusers were included in the primary analysis. Proportions of AKI events defined by KDIGO criteria in users and nonusers were 4.0% and 10.0%, respectively. Adjusted odds ratio for AKI was 1.00 (95% CI, 0.28–2.62). Median peak serum creatinine measurements during AKI events for user and nonuser groups were 1.60 (IQR 1.36–1.78) and 1.88 (IQR 1.55–2.44) (p=0.02), respectively. Sensitivity analyses yielded similar results. DISCUSSION/SIGNIFICANCE OF IMPACT: These findings suggest that there is no evidence of increased odds of AKI in SGLT-2 inhibitor users compared with propensity-matched nonusers with type 2 diabetes.

OBJECTIVES/GOALS: Incorporating health equity, diversity, and inclusion (HEDI) development during community advisory board meetings is essential for ensuring that perspectives of all community members are considered, that health research is centered on the experiences of historically marginalized groups, and organizational strategies align with the community. METHODS/STUDY POPULATION: All IN for Health is a public engagement program that promotes health and research literacy, seeking to increase the public’s understanding of the role and value of research in improving health. It is guided by an active CAB providing advice on strategic directions, feedback to all efforts, contributing ideas, priorities, and most importantly, accountability. In 2023, ALL IN for Health started to incorporate HEDI professional development during staff team meetings and most recently, into our quarterly CAB meetings. Initially, the CAB was asked to provide feedback about talks and potential presentations related to health-research, sponsored, and shared by All IN for Health. During this exercise, board members were asked to provide HEDI topics of interest. Their responses informed a plan for team and board members. RESULTS/ANTICIPATED RESULTS: Some of the topics suggested by board members include: understanding health equity in relation to research studies and protocols, and topics specific to health research such as: health care access for rural areas and vulnerable populations, culture-based attitudes and beliefs and how they impact decisions related to health care, being aware of limitations certain communities have and what they may not have access to. The initiative was positively received and unanimously adopted. We hope to introduce the HEDI integration model for CABs at this conference. (Conceptual Model attached). DISCUSSION/SIGNIFICANCE: It is important to learn and grow alongside our community members. Such practice is bound to sustain partnerships that promote health equity, and exemplify meaningful community engagement, bidirectional learning, and a shared leadership model. By consistently incorporating and prioritizing HEDI, HAB can contribute to more equitable initiatives.

OBJECTIVES/GOALS: The design and phased roll-out of a CTSA competency-based longitudinal Clinical and Translational Research (CTR) curriculum pathway that can be integrated into the training of health sciences professional degree programs at three regional institutions. The outcome will be an increased number of health science professionals participating in CTR. METHODS/STUDY POPULATION: Based on an environmental scan, student surveys to assess interest, and feedback from regional stakeholders, a CTR pathway program was developed. The pathway curriculum will be grounded in 6 key focus areas derived from the Core Competencies in Clinical and Translational Research and prioritized based on regional need. The CTR pathway is currently being developed for the University of Washington School of Medicine, with additional implementations at the Washington State University School of Pharmacy and the Montana State University School of Nursing. Students will complete training modules and a mentored research project that is integrated into their specific course of study. RESULTS/ANTICIPATED RESULTS: In addition to the initial assessments and curriculum, an Advisory Committee will be established. Mentors, site leads, and research project partnerships across the region will be identified. Modifications will be made according to the local needs at both Montana State University and Washington State University. After the pilot launch and roll-out, the pathway curriculum will be adapted for other disciplines based on input from content experts and pathway evaluation data. Student retention in CTR fields will be tracked, with a goal to increase the number of CTR investigators and professionals across WWAMI in the next decade. CTR pathway processes and training resources will be shared with the CTSA consortium and other health sciences professional training sites. DISCUSSION/SIGNIFICANCE: Development of the CTR workforce is a priority to increase national capabilities in clinical and translational science. Building on a recognized need for targeted and longitudinal engagement, a CTR pathway is being established for health sciences students in the WWAMI region.

OBJECTIVES/SPECIFIC AIMS: The objective of this study is to measure the association of CYP2C19 (*1-*8,*17), ABCB1(C3435T; rs1045642), PON1 (p.Q192R; rs662), and B4GALT2 (c.909 C>T and c.366 G>C) gene polymorphisms in the Caribbean Hispanic population with major adverse cardiovascular events (MACE). METHODS/STUDY POPULATION: Patients of Caribbean Hispanic ethnicity from all geographic regions of the Island of Puerto Rico, male and female, aged >21 will be recruited. Cases will consist of patients receiving a daily clopidogrel dose of 75 mg following acute coronary syndrome (ACS) who experience a MACE within the first year of treatment. Control study patients must have received clopidogrel 75 mg daily for a minimum of 1 year without experiencing MACE. Genomic DNA samples will be genotyped to determine the frequency distribution of major CYP2C19, ABCB1, PON1, and B4GALT2 gene polymorphisms. Observed frequencies will be compared with other reported populations. An association study will be performed between genetic variables and MACE and a multivariable logistic regression model (additive) will be constructed. RESULTS/ANTICIPATED RESULTS: We anticipate finding a significant association between major genetic determinants of clopidogrel response and MACE where cases with MACE will carry higher frequency of CYP2C19, ABCB1, PON1, and B4GALT2. DISCUSSION/SIGNIFICANCE OF IMPACT: As the range of multiloci allelic combinations in admixed Caribbean Hispanics is higher than in other populations due to its unique 500-year history of genomic admixture, a wide spectrum of genetic variances is expected to be present in the study population. Determining the prevalence and effect of CYP2C19, ABCB1, PON1, and B4GALT2 polymorphisms holds the potential to personalize anti-platelet treatment for Caribbean Hispanic patients requiring treatment after ACS.

OBJECTIVES/GOALS: The primarygoal is to understand the challenges and barriers associated with the procurement of innovative technologies.Specifically, our research will answer the following question: what are the minimal requirements for a startup’s solution to beprocuredby anOntariohealthcare institution? METHODS/STUDY POPULATION: Participants will include procurement professionals at startups, healthcare institutions, and procurement facilitating agencies. Semi-structured interviews will be conducted in order to understand different procurement pathways and the possible procurement related gaps or barriers that startups face. Through qualitative ethnographic methods, participant interviews will characterize existing relationships and examine the rationale behind startup procurement decision-making. Data collection will include recordings, verbatim transcripts, and researcher field notes. Through inductive qualitative analysis, the data will be examined to build an intervention to assist in startup procurement. RESULTS/ANTICIPATED RESULTS: Our investigation will yield insight into expectations between hospital procurement requirements and startup procurement. The qualitative analysis will identify targets for engagement, and appropriate actors that can bridge gaps. Our results will identify pathways for procurement and the minimal procurement requirements to aid startup procurement planning. Our research will support innovators by delivering an intervention that will enable easier implementation of market ready solutions in a Canadian context. In line with principles from the National Center for Advancing Translational Sciences, this research can be used towards enhancing efficiency, speed of translation, and innovation. DISCUSSION/SIGNIFICANCE: We will contextualize the needs of start-ups and empower them to understand their procurement ecosystem. Facilitating better navigation of the procurement space allows for innovators to present solutions that healthcare organizations can adopt, resulting in improved clinical and patient outcomes.

OBJECTIVES/SPECIFIC AIMS: We investigated the association between relationship power imbalance (which can have a negative impact on HIV prevention) and male partner HIV testing, using baseline data from a HIV self-testing trial in 3 antenatal clinics in central Uganda. METHODS/STUDY POPULATION: Pregnant women with HIV-male partners were recruited and randomized by day into standard of care or intervention (HIV self-testing kits). Analyses were performed in SAS 9.4, with χ2 tests and p<0.05 for significance. RESULTS/ANTICIPATED RESULTS: In total, 1514 women were recruited (737 standard of care, 777 intervention). Overall, 39.6% of male partners had previously tested for HIV. Among women <26, contributions to expenses differed by partner testing (overall p<0.001, 47.6% of women whose partners tested made no contribution vs. 63.2% of women whose partners did not test). Relationship status differed by partner testing (overall p=0.02, 12.4% of women whose partners tested showed a sometimes difficult relationship vs. 5.7% of women whose partners did not test). Among women 26+, decision making for family visits differed by partner testing (overall p=0.005, 52.9% of women made joint decisions with partners who tested vs. 36.5% whose partners did not test). DISCUSSION/SIGNIFICANCE OF IMPACT: Higher relationship power balance was associated with higher HIV testing among male partners when measured by contribution to expenses and decision making for family visits, but not relationship status. Relationship power balance should be considered when counseling women and men to increase HIV testing.

OBJECTIVES/GOALS: In November 2020, Tufts CTSI launched a new, upgraded learning management platform for disseminating self-paced online professional education for the CTR workforce. This poster will present a case study of the first two full years of Tufts CTSI I LEARN usage to illustrate how a local and national CTR workforce engages in free online training. METHODS/STUDY POPULATION: This study will employ a retrospective analysis of 2021 and 2022 learner usage data from the Tufts CTSI I LEARN platform. The population are individuals who have engaged in one or more courses over the specified time period, where engagement is defined as having viewed at least one content item in a course. Descriptive statistics will be used to show total engagement and unique learners each year by course, popular courses by year, as well as geographical distribution of learners across both years. Two sample t-tests will be used to compare the mean percentage of course completion and mean time spent in courses for 2021 and 2022. The Wilcoxon Rank Sum test will be used to compare median courses taken per learner each year. Finally, descriptive statistics will be used to show returning learners vs new learners from 2021 to 2022. RESULTS/ANTICIPATED RESULTS: Data from 2021 show 723 learners (436 unique) engaged in 49 courses across the year. Course engagement ranged from a max of 135 to minimum of 1 learner (Mean = 14.8, Median = 6). Mean percent of course content viewed was 69.4 (Median = 63.7%) and mean time spent on course content was 41.3 minutes (Median = 33.6). Preliminary data from Q1-Q3 of 2022 find 557 learners (328 unique) have engaged in 69 courses. Based on this trend, it is anticipated that 2022 will match or exceed 2021 engagement levels. Recently launched courses are expected to have higher average engagement than legacy courses ported from the previous version of the platform. DISCUSSION/SIGNIFICANCE: Results from this evaluation will suggest strategies to enhance engagement in current courses and identify opportunities for future course development. Increasing engagement in self-paced CTR education is an important complement to formal workforce development and training programs.

OBJECTIVES/GOALS: To engage community partners in full spectrum of translational sciences participants will: 1. Develop community-based research projects. 2. Evaluate pilot awards submitted to the Community Advisory Board for funding. 3. Actively participate in the research cores at the CTSC METHODS/STUDY POPULATION: The Academy workshop curriculum supports an in-depth examination of the translational research process, introduction to the CTSC Community Advisory Board; as well as to community based participatory research; grant evaluation process, and the need for active community involvement in various cores, and clinical trials. Workshops presented by tenured professionals and community leaders with multi-media out of class assignments. Scheduled sessions were 1 hour, and 15 minutes. Exams given post class session with a mean score of 22.8/30 for session 1 and a mean score of 23.80/30 for session 2. RESULTS/ANTICIPATED RESULTS: The Community Research Academy (CRA) has thus far held for two sessions. Of the 45 enrollees, 20 completed the entire program. Of those, ten have joined the CAB board; and three have actively participated in the pilot award review process. One of the CRA graduates will be publishing her photo novella assignment in Health Affairs. One person changed careers,: and several people have taken all the classes for a second time. Many participants originally came from our faith-based connections. Now word of mouth is expanding the program. DISCUSSION/SIGNIFICANCE: Community engagement ensures that the fresh voices of diverse populations are involved in translational science. Their input ultimately leads to creating novel clinical innovations; such community-driven ingenuity which addresses the deeply felt needs of those communities.

Objectives/Goals: Poor visual memory and perceptual organization task performance predicts cognitive decline and is sensitive to dementia severity. No genome-wide association study (GWAS) has assessed the genomic basis of cognitive visual-spatial phenotypes. We aimed to identify common genetic variants associated with visual memory and spatial organization. Methods/Study Population: We included dementia- and stroke-free participants aged 45 years or older from up to seven cohorts in the Cohorts for Heart and Aging Research in Genomic Epidemiology (CHARGE) consortium, who performed cognitive tasks assessing delayed visual memory (e.g., Benton Visual Retention Test (BVRT, n = 10,934) and visual reproductions (VR, n = 5,527)) or spatial organization (i.e., Hooper Visual Organization Test (HVOT, n = 5,024)). Each cohort used linear regression models to relate common genetic variants imputed to the 1000 Genomes panel to each cognitive phenotype, adjusting for age, sex, population stratification, and education. Summary statistics for the BVRT were meta-analyzed using METAL. Combined GWAS was used for a joint analysis of all traits. Results/Anticipated Results: We identified a genome-wide significant variant related to BVRT performance located near the TSHZ3 gene (rs10425277, p = 6.76×10–9). TSHZ3 is important for the development and function of cortical projecting neurons and may be implicated in Alzheimer’s disease progression by repressing CASP4 transcription. Multitrait analyses, including BVRT, VR, and HVOT, identified two additional variants of interest in SMYD3 gene (rs10802275, p = 5.58×10–7) and near ZFPM2 (rs2957459, p = 2.03×10–7), both of which are overexpressed in the brain and have important implications for neurodevelopment. SMYD3 may be directly involved in synaptic dysfunction and has been shown to be upregulated in the prefrontal cortex of Alzheimer’s disease patients. Discussion/Significance of Impact: Our findings suggest that variants related to visual memory and spatial organization are involved in neurodevelopmental and degenerative pathways. This GWAS adds to the growing body of GWAS literature on the genetic basis of cognitive function. Additional analyses are underway to replicate these findings and extend functional annotation.