OBJECTIVES/GOALS: Vanishing White Matter Disease (VWM), is a childhood neurodegenerative leukodystrophy that presents with motor deficits, neurologic decline, and seizures leading to death.There are no treatments. Herein we investigate adeno-associated virus serotype 9 (AAV9) gene addition therapy for VWM. METHODS/STUDY POPULATION: To serve as a baseline for disease correction, we characterized the severe VWM Eif2b5I98M murine model with clinically relevant readouts including motor function, gait mapping and myelin loss through magnetic resonance imaging (MRI). Molecular characterization through the identification of biomarkers was also investigated. To provide targeted disease correction, we designed four gene replacement constructs to drive the rapeutic EIF2B5 expression in astrocytes—a critical cell type for VWM pathology. We are currently evaluating our AAV vectors in two murine VWM models, Eif2b5R191H and Eif2b5I98M, and are monitoring disease progression using traditional and clinically relevant readouts. RESULTS/ANTICIPATED RESULTS: The I98M mice display significant mobility loss, ataxic gait, and demyelination. Molecular characterization also indicates that the integrated stress response is significantly dysregulated, supporting the classic VWM phenotype. Our previous biodistribution study confirmed our ability to efficiently target astrocytes using varying iterations—including one novel—of the glial fibrillary acidic protein (GFAP) promoter. Our data suggests that targeting astrocytes with gene addition delays disease onset, partially rescues motor function, and attenuates myelin loss. Survival of the AAV9-gfaABC(1)D-EIF2B5 treated I98M mice is also significantly increased (p<0.0001), currently with a 2-fold extension in life expectancy. DISCUSSION/SIGNIFICANCE: Overall, we anticipate emergence of a lead astrocyte-targeted gene therapy candidate in which the data will be strengthened through the evaluation of clinically relevant measures in two murine models of disease, allowing fortimely translation to the clinic.

OBJECTIVES/GOALS: Pregnant African American (Black women) have higher rates of adverse pregnancy outcomes compared to other races and routine monitoring of lipid levels is not currently in practice in prenatal care. We hypothesized that lipid profiles would show variation across pregnancy indicative of specific requirements during gestation and fetal development. METHODS/STUDY POPULATION: We used an untargeted lipidome analysis approach to investigate lipid metabolism with the progression of pregnancy. Pregnant Black women were recruited at prenatal clinics in Midwest (Metro Detroit, Michigan and Columbus, Ohio), women under 18 or above 45 years of age were not enrolled due to metabolic changes associated with these age groups. Women signed the consent forms and plasma samples were collected at 8-18 weeks at (T1), 22-29 weeks (T2) and 30-36 weeks (T3) of pregnancy. Samples from sixty-three women (mean age 27.41 ± 5.61 years) who had term birth (completed 37 weeks of pregnancy) were subjected to “shotgun” Orbitrap high resolution/ accurate mass spectrometry. Mixed-effects models were used to quantify systematic changes in relative lipid abundances over time using R lme4 and ggplot2 packages. RESULTS/ANTICIPATED RESULTS: Total lipids and some major lipid classes showed a significant increase with the progression of pregnancy. Phospholipids and glycerolipids exhibited a gradual increase throughout pregnancy, while sphingolipids and total sterol lipids displayed a more pronounced increase at the T3 timepoint. Acylcarnitines, hydroxy acylcarnitines and Lyso phospholipids levels significantly decrease from T1 to T3. One of the interesting finding was that non-esterified fatty acids decreased from T1 to T2 and increased again from T2 to T3, suggesting a possible role for these lipids during the later stages of pregnancy. The fatty acids showing this trend included key fatty acids- Linoleic Acid, Arachidonic Acid, Alpha-linolenic acid, Eicosapentaenoic acid, Docosapentaenoic acid, Docosahexaenoic acid. DISCUSSION/SIGNIFICANCE: Mapping lipid trends during pregnancy could lend support to a precision health approach to reduce perinatal health disparities among pregnant Black women. The findings from this study will be used to identify biomarkers and study associations with social and environmental factors responsible for adverse perinatal outcome in pregnant Black women.

OBJECTIVES/GOALS: The primary aim of this study is to explore the relationship between neighborhood deprivation index as measured by the Social Vulnerability Index (primary predictor) and anxiety and depression in primary caregivers of hospitalized children, measured using the Hospital Anxiety and Depression Scale (primary outcome). METHODS/STUDY POPULATION: Design: This descriptive, comparative, non-intervention, cross-sectional substudy is is a secondary analysis of survey data collected from parents of hospitalized children staying at Ronald McDonald Houses. Regression models will examine the relationship between a parent’s social determinants of health and their anxiety and depression in the context of their child’s hospitalization. Setting/Study population: Parents/primary caregivers were recruited from the following sites: RMH of the Greater Philadelphia Region, RMH of San Diego, RMH of Greater Cincinnati, RMH of the Bluegrass (Lexington, KY), and RMH of Alabama. RESULTS/ANTICIPATED RESULTS: In the DAG below I hypothesize the associations between the variables and anxiety and depression based on what has been reported in the literature. The analysis is in progress. [blob:https://acts.slayte.com/50293cb7-4274-49bb-998d-7601dffd23cb] DISCUSSION/SIGNIFICANCE: Parents of hospitalized children experience a high burden of anxiety and depression. Pre-existing indicators of social determinants of health may contribute or compound parental anxiety and depression. A better understanding of this association can lead to improved screening and interventions to better support parents and their children.

OBJECTIVES/GOALS: Susceptible mucocutaneous membranes of the eye and nasal cavity are easily infected by viruses leading to pink eye or respiratory infections whose direct cost has been estimated as $16 billion annually in the United States. We have developed a novel and effective barrier that will be agnostic to variants enveloped viruses like coronaviruses. METHODS/STUDY POPULATION: We evaluated the efficacy of hydroxypropyl cyclodextrin barrier in preventing respiratory coronavirus infections using 25 humanized angiotensin converting enzyme-2 receptor (hACE-2) mice under a BSL3 laboratory setting. We have shown the barrier is safe and efficacious in preventing coronavirus infections in in vitro respiratory cell lines. We instilled 10 uL aliquot of the barrier into the nostril of the mouse 30 minutes before exposing them to a 10uL titer containing 10,000 plaque forming units of the SARS-CoV-2 delta variant. The control mice received the SARS-CoV-2 infection but not the barrier. The mice were observed for 5 days after which they were sacrificed. We analyzed the lungs and nasal palates for viral load using reverse transcription-polymerase chain reaction. RESULTS/ANTICIPATED RESULTS: We observed our barrier to be effective in preventing SARS-CoV-2 delta variant infection in hACE2 mice models. The lungs and nasal secretions of treated mice were less infectious with lower viral load than the control mice. The lungs of treated mice showed decrease in IFN gene expression and many cytokines and chemokines that regulate virally induced inflammatory responses such as IL-1b, IL-8, CXCL9, CXCL10, and the CCLs. We observed the plasma Angiotensin I and Angiotensin II decreased with barrier treatment, correlating with the viral load observed in the lungs. These peptides may be useful biomarkers for monitoring viral load within the lungs of virally infected individuals. DISCUSSION/SIGNIFICANCE: This supports the barrier’s efficacy to reduce transmission and prevent infections of SARS-CoV-2. This easy to use barrier can augment the mucocutaneous layers of the eye and nasal cavity. Our agnostic barrier will reduce the economic and public health burden of seasonal respiratory and eye viral infections and their related deaths amongst the public.

OBJECTIVES/GOALS: The CDC-funded Program to Alleviate National Disparities in Ethnic and Minority Immunizations in the Community intersects two national networks that transform building trust in communities: Cooperative Extension Systems and Clinical and Translational Science Awardees, with the goal of reducing vaccine hesitancy and increasing vaccine uptake. METHODS/STUDY POPULATION: PANDEMIC included North Central Florida; Greater Sacramento, California; Bronx, New York; St. Louis and the Ozarks, Missouri; rural Kentucky; and Minnesota. Our 10 Promising Practices (PPs) focus on the equitable distribution of COVID-19 vaccines and health information, with two detailing collaborative efforts to better achieve health equity: PP3) Bringing Services and Vaccines to People Where They Are & PP5) Creating Coalitions with Trusted Neighborhood Partners. CHWs and Extension Educators, trusted community members, work together to deliver culturally/linguistically diverse health messages in plain language in areas of high vaccine hesitancy and bring vaccines to people where they are. All outreach activities are tracked and categorized by PP affiliation. RESULTS/ANTICIPATED RESULTS: From November 2021 – August 2023, PANDEMIC has administered nearly 11,000 COVID-19 vaccines at over 2,500 outreach events. At events, Community Health Workers (CHWs) listen to community members to assess vaccine perceptions and health needs/concerns. We adapt messaging and outreach initiatives to promote vaccination through data analyses that help us understand perceptions. Responses are calculated for the populations of focus (PoF)–Latino/Hispanic, African American/Black, American Indian/Alaskan Native, Asian, Native Hawaiian/Other Pacific Islander) compared to others (Non-Latino/Hispanic White or unspecified race). Over 16,000 surveys were collected from November 2021 – August 2023 with 60% coming from the PoF. Key differences in perceptions will be shown along with other cross-site metrics. DISCUSSION/SIGNIFICANCE: PANDEMIC offers an innovative model for collaboration among CTSAs and Cooperative Extension Systems to better understand community perceptions and support vaccination efforts and overall health promotion in communities of greatest need, with a focus on racial and ethnic minority communities and underinsured/uninsured populations.

OBJECTIVES/GOALS: Congenital anomalies (CAs) affect 3% of live births, yet the cause of 80% of CAs is unknown and for the 20% with an identified cause, variability in penetrance suggests additional risk drivers exist. Our method for identifying and categorizing CAs in electronic health record (EHR) linked biobank databases can expand and improve CA etiologic research. METHODS/STUDY POPULATION: We identified individuals with CAs in three groups: 1. Those with at least one CA 2. Those with multiple CAs (MCA), those with two or more ‘major’ CAs, and 3. Those with CAs in a specific organ system. We also created a novel quantitative approach, using phenome-wide association studies (pheWAS), for determining CA-associated genetic disease billing codes in order to separate individuals that have a known genetic cause for their CAs from those with idiopathic CAs. We updated CA phecodes, aggregates of clinical billing codes, which we used to identify CA cases in Vanderbilt’s EHR-linked biobank database, BioVU. We create a new phecode, ‘All CAs’, for researchers to quickly identify all individuals with at least one CA. We evaluate the definition of MCA using pheWAS analyses to compare ‘minor’ vs ‘major’ CA. RESULTS/ANTICIPATED RESULTS: The new CA phecode nomenclature includes 5.8 times more codes for CAs compared with the previous version (365 vs 56), improving granularity. 85 (19.7%) CA-associated genetic disease billing codes were identified through literature review. PheWAS analyses revealed an additional 16 (3.7%) genetic disease billing codes with one or more significant (p< 2.75 x10-5) association with CA-related phecodes. Identifying CA-associated genetic disease billing codes allows researchers to differentiate between idiopathic CAs and those that have a known genetic cause. PheWAS analyses of individuals with previously considered “minor” CAs showed many associated severe health problems, revealing that the differentiation between “minor” vs “major” CAs when identifying individuals with MCA in the EHR is arbitrary. DISCUSSION/SIGNIFICANCE: Our CA identification method is scalable for the growing number of EHR-linked biobanks. Differentiating between idiopathic CAs from those with known causes will increase power in studies discovering additional genetic drivers of CAs. Our novel method allows for expansion and acceleration of CA epidemiological research in EHR-linked biobank data.

OBJECTIVES/GOALS: Current long bone fracture standard of care uses inert metal intramedullary nails (IMN), 10x stiffer than femur cortex. Consequent “stress-shielding” bone loss sees >5% of patients needing revision surgery. To improve nonunion healing, we develop automated design optimization methods for biodegradable Mg alloy IMNs to control local reloading. METHODS/STUDY POPULATION: Finite element analysis (FEA) is performed on 3D bone-IMN representations to establish this study’s baseline strain states for existing inert IMN geometries within QCT-informed femoral models under simulated biomechanical loading. FEA with Mg alloy properties for same IMN designs simulate transient IMN material loss through discrete time-step models with experimental in vivo Mg corrosion rates and strain-based bone density evolution using remodeling algorithms from literature. Transient stability and strength metrics, fracture zone stress profiles under gradual reloading and manufacturing constraints are formulated through gradient-based sensitivity analysis into a topology optimization framework (TOF) incorporating a reaction-diffusion degradation model to generate IMN topologies. RESULTS/ANTICIPATED RESULTS: TOF designs for Mg alloy IMNs with transient allowable strength constraints, using safety factors to prevent IMN failure, demonstrate higher compliance than standard inert IMNs with mechanical properties closer to native cortical bone. The biodegradation model within the TOF, informed by corrosion behavior from bone-IMN FEA study, predicts how potential design evolutions affect transient strain states of the system. Thus, local fracture region stress states are controlled by the algorithm optimizing for desirable transient stiffness profiles based on a minimum variance objective of fracture zone stress compared to a target bone stress profile. Optimized IMNs with porous, high surface area features achieve 50% decrease in IMN stiffness over 6 months recovery time and complete in vivo degradation in 24 months. DISCUSSION/SIGNIFICANCE: Our TOF reduces “stress-shielding” effects via design for controlled IMN biodegradation to gradually increase fracture zone loading, stimulating remodeling and reducing current risk of post-operative fracture and surgical removal in ~15k cases/yr. in the U.S. In vitro mechanical and in vivo clinical testing is required to validate design results.

OBJECTIVES/GOALS: To evaluate the incidence of brachial plexus birth injury (BPBI) and its associations with maternal demographic factors. Additionally, we sought to determine whether longitudinal changes in BPBI incidence differed by maternal demographics. METHODS/STUDY POPULATION: We conducted a retrospective cohort study of over 8 million maternal-infant pairs using California’s Office of Statewide Health Planning and Development Linked Birth Files from 1991-2012. Descriptive statistics were used to determine BPBI incidence and the prevalence of maternal demographic factors (race, ethnicity, age). Multivariable logistic regression was used to determine associations of year, maternal race, ethnicity, and age with BPBI. Excess population level risk associated with these characteristics was determined by calculating population attributable fractions. RESULTS/ANTICIPATED RESULTS: The incidence of BPBI between 1991-2012 was 1.28 per 1000 live births, with peak incidence of 1.84 per 1000 in 1998 and low of 0.9 per 1000 in 2008. Incidence varied by demographic group, with infants of Black (1.78 per 1000) and Hispanic (1.34 per 1000) mothers having the highest incidences. Controlling for relevant covariates, infants of Black (AOR=1.88, 95% CI 1.70, 2.08), Hispanic (AOR=1.25, 95% CI 1.18, 1.32) and advanced-age mothers (AOR=1.16, 95% CI 1.09, 1.25) were at increased risk. Disparities in risk experienced by Black, Hispanic, and advanced-age mothers contributed to a 5%, 10%, and 2% excess risk at the population level, respectively. Longitudinal trends in incidence did not vary among demographic groups. Population-level changes in maternal demographics did not explain changes in incidence over time. DISCUSSION/SIGNIFICANCE: Although BPBI incidence has decreased in California, demographic disparities exist. Infants of Black, Hispanic, and advanced-age mothers are at increased BPBI risk compared to White, Non-Hispanic, and younger mothers.

OBJECTIVES/GOALS: The Clinical Implementation stage in the translational pipeline is hampered by the tension between formal evidence and clinician perceptions. For instance, when guidelines are translated into electronic clinical decision support alerts, they are often ignored. Using advances in LLMs we present a framework to quantify these discrepancies. METHODS/STUDY POPULATION: We hypothesize that ignoring guideline-based alerts may be driven by discordances between clinical guidelines’ deterministic realities and clinician’ perception of clinical reality. Until now this has been very difficult to measure using quantitative methods. We argue that advances in Large Language Models (LLM) provide an avenue for exploring this quantitatively. Here we present the method and preliminary results comparing the responses of BioBERTT from a carefully designed set of questions when the LLM is fine-tuned using either formal guidelines or transcripts of clinicians discussing guidelines and clinical care in the parallel domain. The formal “distance” between the LLM responses is evaluated using quantitative metrics like the Hamming Distance. RESULTS/ANTICIPATED RESULTS: We present a description of the architecture used to prove or disprove our hypothesis. We will present results obtained when training the architecture with data that could be used to test the limits of our hypothesis, by fine-tuning BioBERT with diverse synthetic clinical views, either in agreement or disagreement with the formal guidelines. Results comparing sepsis guideline text with transcripts of interviews with Emergency Department clinicians discussing care practices for sepsis in the ED transcripts will also be considered. Our current emphasis is on securing a wider range of transcripts of clinicians interviewed from different clinical specialties and different clinical settings. While here we focus on clinical guidelines, the framework supports any intervention in the Clinical Implementation stage. DISCUSSION/SIGNIFICANCE: Leveraging recent advances in LLMs, we develop a framework that can quantitatively measure the differences between guidelines and clinician perception of best practices. We demonstrated the functionality of this approach using synthetic data and initiated the collection of clinician transcripts to test the framework in real clinical situations.

OBJECTIVES/GOALS: A TIA is a transient episode of symptoms attributed to a cerebrovascular cause, and associated with an increased risk of stroke. Care of these patients often requires substantial resources in the Emergency Department (ED). We therefore described neuroimaging and hospitalization use for TIA within a nationally representative sample of US ED visits. METHODS/STUDY POPULATION: Retrospective cross-sectional analysis using TIA encounters in the 2018 National Emergency Department Sample (NEDS), an AHRQ dataset consisting of a weighted sample of 20% of all US ED encounters. Non-contrast Head CT, CTA Head, Carotid Ultrasound, MRI and CT Perfusion imaging utilization was determined based on Common Procedural Terminology (CPT) codes in the non-admitted encounters. The study population includes all adult patients with a discharge diagnosis of TIA as determined by ICD-10 codes (H34.0, G45.0-3, G45.8 G45.9) in any diagnosis position. The percentage of patients receiving each neuroimaging test was reported with the corresponding 95% confidence interval (CI). We utilized survey sample weights to generate reliable national estimates. RESULTS/ANTICIPATED RESULTS: The study population consisted of 80,803 ED encounters with a discharge diagnosis of TIA, representing 326,802 weighted ED visits nationally. Among this group, 46.8% of patients were discharged and 41.8% were admitted to the same hospital, 7% of patients were transferred to another facility, and the remaining 5% left AMA, were dispositioned to home health, died in the ED, or had an unknown disposition. Because discharged encounters retain their more precise CPT coding of procedural information, imaging analysis was conducted in discharged TIA encounters only. Of these encounters, 73% (95% CI, 70.7-76.5) received a noncontrast head CT, 20.9% (95% CI, 19.1-22.7) a CTA Head, 22.5% (95% CI, 20.6-24.4) a carotid ultrasound, and 31.5% (95% CI, 29.3-33.7) an MRI brain without contrast. DISCUSSION/SIGNIFICANCE: The discharge rate of just under 50% of patients is consistent with other published data, and represents a gradual trend over the past decade of decreased admissions for TIA. The fact that for many of these patients, the entire episode of care occurs in the ED setting suggests that the ED may be a rich target for future innovations in care for TIA.

OBJECTIVES/GOALS: The Community Research Liaison Model (CRLM) is a novel model to facilitate community engaged research (CEnR) and community–academic research partnerships focused on health priorities identified by the community. We describe the CRLM development process and how it is operationalized today. METHODS/STUDY POPULATION: The CRLM, informed by the Principles of Community Engagement, builds trust among rural communities and expands capacity for community and investigator-initiated research. We followed a multi-phase process to design and implement a community engagement model that could be replicated. The resulting CRLM moves community–academic research collaborations from objectives to outputs using a conceptual framework that specifies our guiding principles, objectives, and actions to facilitate the objectives (i.e., capacity, motivations, and partners), and outputs. RESULTS/ANTICIPATED RESULTS: The CRLM has been fully implemented across Oregon. Six Community Research Liaisons collectively support 18 predominantly rural Oregon counties. Since 2017, the liaison team has engaged with communities on nearly 300 community projects. The CRLM has been successful in facilitating CEnR and community–academic research partnerships. The model has always existed on a dynamic foundation and continues to be responsive to the lessons learned by the community and researchers. The model is expanding across Oregon as an equitable approach to addressing health disparities across the state. DISCUSSION/SIGNIFICANCE: Our CRLM is based on the idea that community partnerships build research capacity at the community level and are the backbone for pursuing equitable solutions and better health for communities we serve. Our model is unique in its use of CRLs to facilitate community–academic partnerships; this model has brought successes and challenges over the years.

OBJECTIVES/GOALS: The CDC estimates that Influenza infections account for an average of 420,000 hospitalizations and 34,700 deaths in the U.S. each year. This project explores the underlying mechanisms of the infectious process of Influenza A in human lung organoids by examining the differential transcriptomic expression compared to uninfected controls. METHODS/STUDY POPULATION: Lung organoids were cultured from differentiated human bronchial epithelial cells from lung transplant donors on an air-liquid interface until they were confirmed to contain both mucous producing and ciliated cells. Lung organoids are ideal models in translational science due to their structural and functional characteristics which closely mimic those of in vivo human epithelial tissue. Half the organoids were exposed to Influenza A pH1N1 for 72h; the other half served as uninfected controls. RNA was isolated from both groups and sequenced using the Oxford Nanopore MinION which generates full length reads. Reads were aligned to the human reference genome (GRCh38.p14) using Minimap2. RESULTS/ANTICIPATED RESULTS: The MinION sequenced an average of 3.24m reads per sample and a total of 13,128 genes were relevantly expressed (defined as greater than 1 read per million in at least half the samples). ANOVA with a 5% false discovery rate (Benjamini and Hochberg correction) revealed 5,417 differentially expressed genes between infected and control groups. Within this subset, we identified downregulation of mucociliary clearance, mitochondrial and ß-oxidation, peroxisome, and glutathione replenishment genes. We further identified upregulation in inflammatory markers, lactate dehydrogenase enzymes, and several s100 proteins. The downregulation of mitochondrial and β-oxidation markers and the upregulation of lactate dehydrogenase enzymes revealed a Warburg-like phenotype which has not previously been reported. DISCUSSION/SIGNIFICANCE: This study reveals a novel Warburg-like phenotype in Influenza A infection alongside downregulated mucociliary clearance and upregulated inflammatory processes. These findings improve our understanding of Influenza A infection and point to potential therapeutic targets to advance precision medicine approaches to treatment.

OBJECTIVES/GOALS: The global incidence of calcific aortic valve disease (CAVD) increased 3.5-fold since 1990. No preventative or therapeutic pharmaceutical therapies exist for CAVD. We will establish the therapeutic potential of osteoclast-derived exosomes though characterization of contents and mechanisms of action to protect against mineralization. METHODS/STUDY POPULATION: Exosomes were purified from conditioned media collected from murine myeloid precursor cells, RAW264.7 (control), and osteoclasts induced to differentiate from RAW264.7 cells (OD). Protein content of exosomes was determined using proteomic analyses. Nucleic acid contents will be identified by sequencing mRNA, miRNA, and DNA. The calcification prevention and reabsorption abilities of control and OD exosomes will be tested using human valvular interstitial cells (VIC) and smooth muscle cell calcification assays and acellular osteologic disc assays, respectively. Comparison between cellular and acellular systems will help identify mechanisms of action, and demonstrate potential therapeutic viability of OD exosomes in preventative vs resorptive treatments. RESULTS/ANTICIPATED RESULTS: OD exosomes, but not control exosomes, prevented calcification in VIC in vitro. OD exosomes contained osteoclast-specific proteins including TRAP, MMP6, cathepsin K, and bone reabsorption factors including V type proton pumps, ATPases, and integrins. These genes are also involved in resorptive activities, and were highly upregulated in OD compared to control exosomes. We anticipate miRNA signatures associated with mineral resorption will also be present. Increased knowledge of exosome cargo will illuminate their mechanism of action and allow future work to engineer increased efficacy. We also anticipate a therapeutic response when OD exosomes are applied after calcification has begun, showing exosomes promote calcium reabsorption. DISCUSSION/SIGNIFICANCE: Establishing therapeutic potential and examining mechanisms of action will pave the way for OD exosomes as a CAVD treatment. Analysis of exosome contents will determine active molecules to be enhanced in future studies. This work will lay a foundation for moving into aortic valve organoid models, which are accepted by the FDA for preclinical trials.

OBJECTIVES/GOALS: The FDA allows physicians to request clinical use of investigational drugs, biologics, and devices for patients with no satisfactory treatment options through a pathway called Expanded Access (EA). TEAMSS (Transforming Expanded Access to Maximize Support and Study) sought to examine single-patient cases to better characterize these patients. METHODS/STUDY POPULATION: We prospectively collected data on requests for single-patient EA at any one of the four collaborating TEAMSS institutions (Duke University, University of Rochester, University of Michigan, and University of Texas Southwestern) between September 1, 2021 and February 28, 2023. Regulatory and health records were reviewed for past cases that occurred between June 1, 2018 and August 31, 2021. Descriptive statistics were performed on data from the submission process, the patient demographics, the indication for treatment, and patient health status over time. RESULTS/ANTICIPATED RESULTS: The patient population was representative with respect to the largest racial groups (69.3% White / 13.0% Black or African American) and legal sex (51.3% male / 48.7% female). All ages were represented, with overrepresentation of those 60-70 years old (16.8%) and under 10 (14.8%). Patients were most often treated for infectious diseases (44.2%) or oncologic conditions (39.0%). Those who received more than one dose stayed on treatment for 76 days (median) and up to 1427 days (maximum). At the end of study, 53.9% had completed treatment as planned, moved to commercial product, or continued treatment. Death, disease progression, or failure to respond occurred for 31.9% of patients. DISCUSSION/SIGNIFICANCE: The population that receives Expanded access treatments is heterogeneous in both demographics and medical conditions. Some successful treatments are continued for years. Many patients complete their treatment, and a minority experience death or disease progression during treatment.

OBJECTIVES/GOALS: The objective of this study is to investigate the neurophysiological mechanism of vision therapy in male and female adolescents with persistent post-concussion convergence insufficiency (PPCS-CI). This study may improve diagnostics and inform more effective personalized point of care treatment strategies to remediate symptoms. METHODS/STUDY POPULATION: Participants (ages 11-25) were diagnosed with PPCS by a physician, CI was diagnosed by an optometrist and OBVAT was performed by certified therapists. Patients with PPCS-CI were randomly assigned to a therapy type (immediate therapy or natural recovery). Hemodynamic measures were examined in patients with PPCS-CI at baseline (1-3 months post-concussion), and post OBVAT to evaluate recovery outcomes. Non-invasive techniques were used to measure middle cerebral artery velocity (MCAv), blood pressure, heart rate, and end-tidal CO2 at rest and during objective symmetrical convergence step eye movements. Functional magnetic resonance imaging (fMRI) was acquired during convergence step eye movement experiments contrasted to sustained fixation and resting state data collection. RESULTS/ANTICIPATED RESULTS: To investigate the neural mechanism of OBVAT, eye movements, fMRI and physiological measures were collected in 8 patients with PPCS-CI (4 men and 4 women). Results show an 10% decrease in the MCA during 4-degree symmetrical convergent eye movement responses in males post-OBVAT and a 19% increase in MCA during convergent eye movement responses in females. Furthermore, there was a group level activation of the frontal eye fields, which improves post-OBVAT. The beta weights in the left frontal eye fields show a trending decrease in male patients post-OBVAT and trending increase in females. Males had a decrease in MCAv post OBVAT (baseline 83.6 ± 7.5 cm/sec & 75.7 ± 12.5 cm/sec post-OBVAT), while females show a significant increase post-OBVAT (baseline 53.77 ± 5.2 cm/sec & post-OBVAT 65.13 cm/sec ± 12.5). DISCUSSION/SIGNIFICANCE: This initial pilot demonstrates there may be different underlying pathophysiological outcomes associated with a concussion dependent on sex. This work may have direct implications on treatment strategies for male and female adolescent patients with PPCS-CI.

OBJECTIVES/GOALS: Breast cancer survivors who experience psychological and physical symptoms after treatment ends have an increased risk for comorbid disease development, reduced quality of life, and premature mortality. However, survivors in satisfying marriages report lower stress and better health than those in dissatisfying marriages. METHODS/STUDY POPULATION: Research is needed to identify how survivors’ marriages provide these health benefits across the cancer continuum. Including both survivors and their partners’ perspectives can identify key pathways connecting relationships to better health. This study examined survivors’ and their partners’ psychological, physical, and relational health. Breast cancer survivors (stage 0-III) and their partners (n=34 individuals, 17 couples) completed a baseline online survey followed by a 7-day diary study with three ecological momentary assessments across the day. Questionnaires assessed their cancer-related communication, relationship distress, and psychological and physical symptoms. RESULTS/ANTICIPATED RESULTS: Survivors reported poorer sleep quality and greater fatigue than their partners. Survivors also reported disclosing more thoughts, feelings, and information about cancer compared to their partners. For both survivors and partners, feeling more satisfied with each other’s cancer-related discussions and reporting lower relational distress correlated with fewer physical symptoms, sleep problems, fatigue, and psychological distress. DISCUSSION/SIGNIFICANCE: For both survivors and their partners, feeling more satisfied with how often they talked about survivorship and the cancer experience was associated with better psychological and physical health. This research demonstrates the health benefits and importance of open communication for both survivors and their partners across the cancer continuum.

OBJECTIVES/GOALS: Mayo Clinic (MC) launched the Rapid Activation Trial (RAT) pilot program in 2022 to expedite the activation of high priority and high impact clinical trials. The objective was to develop a process for rapid activation through robust screening, prioritization, and project management (PM) support. METHODS/STUDY POPULATION: The project team developed a robust screening and approval process for the RAT program using a combination of an objective scoring tool (based on strategic priorities) and a diverse selection committee to screen and approve eligible trials. Sponsors had to commit to RAT program timelines. Upon approval, trials were prioritized at the highest level within each business unit involved in the activation process. The number of trials approved annually were limited to 8 to manage volume and facilitate seamless prioritization with an activation timeline goal of 6 weeks. Project management support for RAT program focused on financial, regulatory, logistical, and operational elements to open trials expeditiously. RESULTS/ANTICIPATED RESULTS: In 2022, thirteen (13) applications were received and eight (8) were approved by the RAT selection committee. The approved trials activated with a median open to enrollment time of 6.4 weeks from engaging with business units. They also aligned closely with organization’s strategic priorities, including but not limited to Investigator Initiated Trials, Multi-Site protocols, IND/IDE protocols, Rare Diseases, First in Human and Commercialization potential trials. PI and study team feedback was positive. In 2023, the RAT program was renewed due to the pilot’s significant success in 2022. The goal is to open 10 trials and 5 have been activated by the end of Q3, 2023 with a median timeline of 6 weeks. DISCUSSION/SIGNIFICANCE: Rapid activation of high priority and high impact clinical trials enables an organization to strategically prioritize and open complex clinical trials. This allows the delivery of innovative, timely cures to patients in an expeditious timeline.

OBJECTIVES/GOALS: Motivations and hesitations about participating in genetic research among those at risk of inherited conditions are unclear. We aim to understand perceptions, perspectives, and concerns of these individuals regarding genetic research studies, especially for hard-to-diagnose diseases. METHODS/STUDY POPULATION: Mix method study of 150 Hispanics individuals in Puerto Rico (PR) at risk for in heriting a condition. These individuals, with limited diagnostic data, are attending genetics clinics or invited to a genetics study at the University of Puerto Rico Medical Sciences Campus. Structured surveys and interviews will be conducted. Surveys will gauge general perceptions and feelings toward genetic research, while interviews will provide a deeper understanding of participants’ personal narratives and experiences. All sessions will be recorded, transcribed, and analyzed using NVivo qualitative analysis software. Thematic analysis will be employed to identify recurring themes and sentiments. RESULTS/ANTICIPATED RESULTS: Weanticipatevaried responses: some enthusiastic about genetic research benefits, others having reservations due to privacy, cultural beliefs, or past experiences. A significant portion may express concerns about genetic research’s impact on insurance and potential discrimination. We also expect to uncover systemic challenges that hinder participation among Hispanics living in PR, such as a lack of information or misconceptions about genetic research. This study will overview factors, both encouraging and inhibitory, influencing decisions to join genetic research. Quantitative genetic literacy survey data will undergo descriptive analysis and multivariate logistic regression. DISCUSSION/SIGNIFICANCE: Hispanics in PR exhibit a rich tapestry of genetic variations being a focal point for genetic research. Understanding perceptions is vital among those at risk for inherited conditions. Insights can shape outreach and education strategies, ensuring participants are informed, concerns met, and empowered to make decisions alignined their views.

OBJECTIVES/GOALS: We designed the Biocascade Exhaled Breath Sampler (BEBS) to characterize viral aerosol shedding among individuals with influenza and other respiratory virus infections. We first aimed to test the BEBS on volunteer COVID-19 cases and report the aerodynamic size distribution of exhaled breath aerosol particles carrying SARS-CoV-2 RNA. METHODS/STUDY POPULATION: From June 15 through December 15, 2022, we recruited 27 PCR-confirmed COVID-19 cases from a college campus and the surrounding community to provide 30-minute breath samples into a well-validated Gesundheit-II (G-II) exhaled breath aerosol sampler. Among these individuals, 17 provided an additional exhaled breath sample into the newly designed BEBS. We quantified samples for viral RNA using reverse transcription digital polymerase chain reaction (RT-dPCR) and determined the viral RNA copies collected within two aerosol size fractions (≤5 µm and >5 µm in diameter) from the G-II, and four aerosol size fractions (<1.15 µm, 1.15–3.2 µm, 3.3–8.2 µm, and >8.2 µm) from the BEBS. RESULTS/ANTICIPATED RESULTS: Individuals with a SARS-CoV-2 Omicron BA.4 or BA.5 infection shed virus in aerosols at an average rate of 7.5x103 RNA copies per 30-minute G-II sample, with 78% of the total RNA in aerosols ≤5 µm in diameter. Among the BEBS samples, 10% of the total viral RNA was detected in aerosols <1.15 µm, 43% in 1.15–3.2 µm, 37% in 3.3–8.2 µm, and 10% in the >8.2 µm size fraction. Based on viral RNA loads, our results indicate that exhaled aerosols ≤3.2 µm contribute the majority of SARS-CoV-2 inhalation exposure. DISCUSSION/SIGNIFICANCE: Our data provide additional evidence that respirable aerosols contribute to the spread of SARS-CoV-2. Thus, our data suggest that mitigation measures designed to reduce infectious aerosol inhalation, such as ventilation and the use of air cleaners and respirators, are needed to control the spread.

OBJECTIVES/GOALS: Developing pharmacokinetic (PK) models to guide selective serotonin reuptake inhibitor (SSRI) dosing in youth is costly, time-intensive, and requires large numbers of participants. We evaluated the use of remnant blood samples from SSRI-treated youth and developed precision PK dosing strategies. METHODS/STUDY POPULATION: Following IRB approval, we used a clinical surveillance platform to identify patients with routine phlebotomy within 24 hours of escitalopram or sertraline dosing. Remnant blood samples were obtained from youth aged 5–18 years, escitalopram and sertraline concentrations were determined, and clinical characteristics (e.g., age, sex, weight, concomitant medications that inhibit sertraline or escitalopram metabolism) and phenotypes for CYP2C19, the predominant enzyme that metabolizes these SSRIs, were extracted from the electronic medical record (EMR). A population PK analysis of escitalopram and sertraline was performed using NONMEM. The influence of clinical variables, CYP2C19, and dosing was evaluated from simulated concentration-time curves. RESULTS/ANTICIPATED RESULTS: Over 21 months, we collected315 samples from escitalopram-treated patients (N=288) and 265 samples from sertraline-treated patients (N=255). In youth, escitalopram and sertraline exposure (concentrations over time) and specific pharmacokinetic parameters (e.g., clearance) were influenced by CYP2C19 phenotype, concomitant CYP2C19 inhibitors, and patient-specific characteristics. Escitalopram and sertraline concentrations from remnant blood samples were 3.98-fold higher and 3.23-fold higher, respectively, in poor metabolizers compared to normal metabolizers (escitalopram, p<0.001) and compared to normal, rapid, and ultrarapid metabolizers combined (sertraline, p<0.001). DISCUSSION/SIGNIFICANCE: Combining remnant blood sampling with pharmacogenetic-integrated EMR data can facilitate large-scale population PK analyses of escitalopram and sertraline in youth. This real-world approach can be used to rapidly develop precision SSRI dosing strategies, including slower titration and reduced target doses in CYP2C19 poor metabolizers.