OBJECTIVES/GOALS: The purpose of this retrospective cohort study was to evaluate the impact of mental illness on first-time transcatheter aortic valve replacement (TAVR) and repeat TAVR (viv-AVR) outcomes including postoperative atrial fibrillation (POAF/AFL), as well as trends over time. METHODS/STUDY POPULATION: Using de-identified data reports from the New York Statewide Planning and Research Cooperative System (SPARCS) database from 2005-2018, multivariate logistics models were used to predict endpoints including POAF, the Society of Cardiothoracic surgeon (STS) endpoint (MM), and 30-day readmission (READMIT) in patients with and without mental illness. The TAVR procedure was approved for high-risk patients after 2012, and intermediate-risk patients after 2016, indicting a need to analyze the two populations separately. Multivariate analysis was only conducted on the first-time TAVR patients because of the small n in the viv-TAVR population. RESULTS/ANTICIPATED RESULTS: After 2012, 13.05% (1,810/13,870) of patients undergoing TAVR and 20.83% (15/72) undergoing viv-TAVR were diagnosed with a mental illness before the procedure. After 2016, 15.59% (1,485/9,524) TAVR patients and 20.00% (11/55) viv-TAVR patients had a preoperative diagnosis of mental illness. Multivariate analysis showed that mentally ill patients did not have significant differences in rates of POAF, 30-day readmission, and 30-day composite outcomes when compared to patients without mental illnesses following TAVR procedures after 2012 and 2016. Patients with POAF after both 2012 and 2016 were significantly less likely to be mentally ill, Black, and Hispanic. DISCUSSION/SIGNIFICANCE: Of the mentally ill patients who underwent TAVR, there was no significant difference in short-term outcomes after 2012 vs. 2016, compared to patients without mental illnesses. The small number of mentally ill patients undergoing TAVR may point to provider bias as a contributor to this high selectivity, and further evaluation would be of clinical use.

OBJECTIVES/GOALS: The study aims to identify and measure metabolites in irradiation-induced senescent pre-adipocytes induced by the increased secretion of pro-inflammatory cytokines. Through untargeted metabolomics, we seek to understand the alterations to metabolism and mitochondrial activity that occur during irradiation-induced senescence. METHODS/STUDY POPULATION: First, commercially available human primary subcutaneous pre-adipocytes were cultured in vitro, and irradiated to induce senescence. To confirm senescence, cells were stained for beta-galactosidase, which was positive in senescent pre-adipocytes. The cells and their conditioned cultured media were then collected and frozen for untargeted metabolomics to profile metabolites. The sample analysis is currently underway and will be conducted using central carbon isotope tracing and chromatograph mass spectrometry. Principal Component Analysis, fold change analysis, and heat maps will be used to detect and report the changes in metabolite signals. Oxygen consumption rate and extracellular acidification rate measurements are in progress at present using the Agilent Seahorse XF Cell Mito Stress Test. RESULTS/ANTICIPATED RESULTS: We expect that metabolites of central carbon metabolism and oxidative phosphorylation will be upregulated. The concentrations of metabolites of pathways altered by the pro-inflammatory cytokines that have been identified to be secreted by senescent cells are expected to be altered. The metabolites measured in conditioned culture media will provide insight into the changes to the cellular microenvironment caused by senescence. Finally, we anticipate that mitochondrial function, and both aerobic and anaerobic metabolism will be altered in senescent pre-adipocytes compared to controls. Through the present study, we will achieve a better understanding the metabolic alterations that occur as part of cell senescence in pre-adipocytes. DISCUSSION/SIGNIFICANCE: Adipose tissue dysfunction due to the accumulation of senescent cells has been linked to chronic diseases such as diabetes and insulin resistance, and inflammaging. Through this study, we expect to provide new insight into the metabolic alterations of senescence and offer a backbone for prospective translational human studies and clinical trials.

Stress and diabetes coexist in a vicious cycle. Different types of stress lead to diabetes, while diabetes itself is a major life stressor. This was the focus of the Chicago Biomedical Consortium’s 19th annual symposium, “Stress and Human Health: Diabetes,” in November 2022. There, researchers primarily from the Chicago area met to explore how different sources of stress – from the cells to the community – impact diabetes outcomes. Presenters discussed the consequences of stress arising from mutant proteins, obesity, sleep disturbances, environmental pollutants, COVID-19, and racial and socioeconomic disparities. This symposium showcased the latest diabetes research and highlighted promising new treatment approaches for mitigating stress in diabetes.

OBJECTIVES/GOALS: Diffusion MRI can identify microstructural brain changes and can provide insight into neural development and to potentially prognosticate speech and language outcomes in children with SNHL. The goal of our study was to investigate MRI-based microstructural changes along the brainstem regions of the auditory pathway in pediatric patients with SNHL. METHODS/STUDY POPULATION: We reviewed cohort of pediatric patients with SNHL who obtained MRI at 3T between 2011 and 2019. We identified 16 pediatric patients (age RESULTS/ANTICIPATED RESULTS: We identified significant differences in FA values of the SON between the SNHL cohort and controls (0.377 ± 0.056 vs 0.422 ± 0.052; p=0.009). No other FA or MD values were significantly different between the two groups. Among younger children (ï‚£5 years), MD was significantly decreased in the SNHL cohort compared to controls in the IC (0.918 ± 0.051 vs 1.120 ± 0.142; p5 years), there were no significant differences in MD (1.124 ± 0.198 vs 0.997 ± 0.103; p = 0.119). There were no significant differences in MD or FA in the white matter fibers of the IC-SON tract. DISCUSSION/SIGNIFICANCE: This study is the first to assess microstructural changes in brainstem auditory pathway regions among children with SNHL. Longitudinal studies are warranted to assess the predictive value of these MRI-based findings for long-term outcomes and the efficacy of intervention.

Large research teams and consortia present challenges for authorship. The number of disciplines involved in the research can further complicate approaches to manuscript development and leadership. The CHARM team, representing a multi-disciplinary, multi-institutional genomics implementation study, participated in facilitated discussions inspired by team science methodologies. The discussions were centered on team members’ past experiences with authorship and perspectives on authorship in a large research team context. Team members identified challenges and opportunities that were used to create guidelines and administrative tools to support manuscript development. The guidelines were organized by the three values of equity, inclusion, and efficiency and included eight principles. A visual dashboard was created to allow all team members to see who was leading or involved in each paper. Additional tools to promote equity, inclusion, and efficiency included providing standardized project management for each manuscript and making “concept sheets” for each manuscript accessible to all team members. The process used in CHARM can be used by other large research teams and consortia to equitably distribute lead authorship opportunities, foster coauthor inclusion, and efficiently work with large authorship groups.

OBJECTIVES/GOALS: Craniosynostosis is the premature fusion of one or more cranial sutures that produces brain growth constraints and typically requires surgical treatment. We present an age- and sex-specific method to evaluate surgical outcomes using non-invasive 3D photogrammetry that brings objectivity to the current approach for clinical assessment. METHODS/STUDY POPULATION: First, we created standardized head anatomy representations for 2,020 patients (1,081 males, 939 females, age 3.14 ± 3.05 years) without cranial pathology from their computed tomography (CT) images based on our previous methods. We used principal component regression stratified by sex to establish age-specific normative ranges of anatomical variability and we designed a new metric called cranial shape abnormality (CSA) index that calculates the number of standard deviations from normality of a given patient’s head anatomy. We calculated our CSA index in a group of 56 patients (44 male, 12 female) with sagittal craniosynostosis who underwent sagittal craniectomy from their pre- (22 ± 30 days before surgery) and post-surgical (267 ± 63 days after surgery) 3D photograms to evaluate surgical outcomes. RESULTS/ANTICIPATED RESULTS: We observed a reduction in the CSA index from 1.28 ± 0.26 before surgery to 0.87 ± 0.22 after surgery (p < 0.001 with a paired Wilcoxon test). The CSA index decreased in 53 of 56 patients (94.6%), who consistently showed head shape improvements after corrective surgery during clinical evaluation. Linear temporal regression indicates a CSA index decrease of 0.43 ± 0.05 during the first year after surgery. We found no significant correlation between a patient’s age at surgery and the patient’s CSA index after surgery (Pearson’s correlation coefficient 0.17, p = 0.20) or the patient’s change in CSA index before and after surgery (Pearson’s correlation coefficient 0.22, p = 0.11), suggesting that sagittal craniectomy is equally effective for all patients who are between 85 and 331 days old at the time of surgery. DISCUSSION/SIGNIFICANCE: Our new CSA index is a sex- and age-specific metric of head shape anomalies built upon the observed statistical distributions in the normative pediatric population. Our metric can objectively evaluate pre- and post-surgical head shapes and will allow the investigation of the reported variability in surgical outcomes among patients and procedures.

OBJECTIVES/GOALS: MGMT methylation status is used to predict the response to TMZ. However, a subpopulation of patients lacking MGMT methylation still respond to TMZ. We applied omics approaches and functional studies to a cohort of GBM patients to identify novel markers that may more accurately predict TMZ response. METHODS/STUDY POPULATION: We applied a combination of omics approaches and functional studies to a cohort of GBM patients to search for novel markers that would predict the response to TMZ treatment more accurately than traditional markers. Using a set of 47 primary and secondary GBM tumor samples, we employed comparative transcriptomics, whole exome sequencing, data independent acquisition (DIA) proteomics, and phosphoproteomics to look for DNA mutations and changes in gene expression and/or protein expression that correlated to response or non-response to TMZ. Subsequently, we performed functional studies and analyzed patient treatment data to validate our results. RESULTS/ANTICIPATED RESULTS: This study is in early stage, but we anticipate that our combination of methods may allow us to identify and validate at least one novel biomarker for TMZ response in patient GBM. For example, comparative transcriptomics or phosphoproteomics may identify a previously unrecognized gene or protein over/under-expression in a subset of patients. In this case we will validate findings using western blotting, IHC staining, and through siRNA of target gene/protein on patient derived GBM cells to examine if removal of this marker leads to TMZ sensitivity. We will further confirm prediction of marker correlation through comparison with matched patient treatment data. DISCUSSION/SIGNIFICANCE: The identification of improved biomarkers to predict response to TMZ treatment is a discovery that could rapidly become standard of care for GBM patients. It would ensure that all responders receive TMZ and avoid exposing nonresponders unnecessarily to TMZ and its potential side effects.

OBJECTIVES/GOALS: Aim1: To develop a natural language processing (NLP) algorithm to effectively identify statin associated muscle symptoms (SAMS) in patients’electronic health records (EHRs). Aim2: To develop a machine learning model based on clinical features within EHRs that predict the likelihood of SAMS occurrences. METHODS/STUDY POPULATION: A retrospective cohort of adult patients initiated on statins within the Minnesota Fairview Healthcare System EHRs from 2010 to 2020 will be analyzed. NLP-PIER (Patient Information Extraction for Research) platform will be used to search and identify patients who developed SAMS after statin initiation. Manual annotation of clinical notes will be completed to validate the accuracy of identified SAMS cases. Then, a selection of clinical features within the EHRs will be input as predictors for machine learning algorithms development. Select machine learning classifiers will be deployed to generate models for the prediction of SAMS and the best-performing model will be selected based on model performance. RESULTS/ANTICIPATED RESULTS: The expected outcomes include generation of a fine-tuned NLP algorithm that can rigorously identify SAMS occurrences within EHRs. Further, we anticipate having a practical risk model that accurately predicts patients’risks of developing SAMS when taking statins. DISCUSSION/SIGNIFICANCE: The positive and translational impact of our research will be to equip healthcare providers with such informatics tools to improve statin adherence, ultimately promoting patient optimal health and outcomes by maximizing the tolerance and thus realizing the therapeutic benefits of statins.

OBJECTIVES/GOALS: Development of a user friendly home kit that enables kidney transplant recipients to process urine at home and post the lysate containing RNA to a Core Laboratory would simplify urinary cell mRNA profiling and facilitate longitudinal monitoring. We report our home processing protocol and investigation of its diagnostic performance characteristics. METHODS/STUDY POPULATION: We developed a home processing protocol (HPP) consisting of urine filtration and lysis of urinary cells, both performed at home by the kidney transplant recipients (KTR) themselves, followed by isolation of total RNA from the lysate and mRNA enrichment using a silica-membrane-based cartridge, both performed at the Core Laboratory. Using the HPP, total RNA was isolated from kidney allograft biopsy-matched urines and absolute copy numbers of CD3εmRNA, CXCL10 mRNA, and 18S rRNA, components of the Clinical Trials in Organ Transplantation 04 (CTOT-04) three-gene TCMR diagnostic signature, and urinary cell BKV VP1 mRNA copy number, were measured using customized RT-qPCR assays. RESULTS/ANTICIPATED RESULTS: CTOT-04 three-gene TCMR diagnostic signature scores in urine processed using HPP discriminated KTR with TCMR (12 TCMR biopsies from 11 KTR) from KTR with no TCMR/BKVN (29 No TCMR/No BKVN biopsies from 29 KTR) (P=0.0005, Mann-Whitney test), and AUROC was 0.84 (95% CI, 0.69 to 0.98). TCMR was diagnosed with sensitivity of 67% (95% CI, 35 to 89) at a specificity of 86% (95% CI, 67 to 95) using the CTOT-04 validated cutpoint of -1.213 (P=0.0016,Fisher exact test). BKV VP1 mRNA copy number in urine processed with HPP discriminated KTR with BKVN (n=7) from KTR with no TCMR/BKVN (n=29) and AUROC was 1.0 (95% CI, 1.00 to 1.00). BKVN was diagnosed with a sensitivity of 86% (95% CI, 42 to 99) at specificity of 100% (95% CI, 85 to 100) with the previously validated cutpoint of 6.5x10^8 BKV VP1 mRNA copies/μg of RNA (P DISCUSSION/SIGNIFICANCE: Urine processed using the HPP predicted TCMR and BKVN in KTR. The HPP represents not only a significant advance towards portability of urinary cell mRNA profiling but also should improve patient management by minimizing visits for urine collection.

OBJECTIVES/GOALS: Patients suffering from respiratory failure have few options to support oxygenation and carbon dioxide removal aside from mechanical ventilation. Our objective was to test a novel extrapulmonary mechanism of gas exchange via peritoneal oxygenated perfluorocarbon (PFC) in a large animal model. METHODS/STUDY POPULATION: Using two 50 kg swine, hypoxia was modeled with subatmospheric oxygen and hypercarbia induced with acute hypoventilation. Through a midline laparotomy, cannulas were placed into the peritoneal space to allow for PFC infusion and circulation. After abdominal closure, these cannulas were connected to a device capable of draining, oxygenating, and infusing PFC. One animal was subjected to acute hypoxia (12% FiO2) and another animal to acute hypoventilation (4 breaths per minute). Primary outcomes were times for SpO2 to reach 75 mmHg, respectively. Trials were performed without PFC and with PFC dwelling or circulating through the peritoneal space, during which abdominal and bladder pressures were monitored and maintained under 20 mmHg by regulation of the PFC volume contained in the animal. RESULTS/ANTICIPATED RESULTS: In the animal subjected to acute hypoxia (12% FiO2), survival time improved from 5:55 to 20:00 (min:sec) after 2.5 liters of oxygenated PFC was instilled in the peritoneal space. Oxygen percent saturation of PFC before and after dwelling in the peritoneal space was measured at 100% before and 70% after dwelling in the animal during this hypoxic period corresponding with a gas transfer of 300 mL of oxygen over the 20-minute trial (i.e., 15 mL/min). Continual PFC circulation did not further extend the survival time during hypoxic conditions over PFC dwelling in the abdomen. In the animal that was acutely hypoventilated, there were no detectable differences in the rate of CO2 accumulation as measured by EtCO2 or direct blood pCO2 measurements with PFC dwelling or circulating through the peritoneal space. DISCUSSION/SIGNIFICANCE: Oxygenated PFC dwelling in the peritoneal space increased the duration of systemic arterial blood saturation remaining greater than 50% during normobaric hypoxic (12% FiO2) conditions but did not appreciably clear blood carbon dioxide during hypoventilation. Future experiments will focus on maximizing the rate of systemic oxygen uptake.

OBJECTIVES/GOALS: A stroke can impair neural communication between sensory and motor pathways thus compromising walking function. Paired associative stimulation (PAS) is a useful assay of sensorimotor integration (SMI) with limited use post-stroke. The objective of this study will be to determine lower extremity PAS effectiveness and reliability post-stroke. METHODS/STUDY POPULATION: This study will use a pre-post, cross-sectional design. Ten healthy controls and 10 individuals with chronic stroke (>6 months) will be recruited. PAS protocols will be individualized to account for between-subject variability in sensorimotor signaling by first measuring cortical sensory signaling using electroencephalography. Post-stroke participants will then receive PAS targeting the paretic tibialis anterior muscle; healthy controls will receive PAS targeting the non-dominant TA. Changes in cortically derived muscle responses will be characterized by absolute motor-evoked potential amplitude (MEPAmp) change, elicited by transcranial magnetic stimulation, over two sessions separated by >24 hours. Clinical measures of sensorimotor function and walking ability will also be performed. RESULTS/ANTICIPATED RESULTS: By individualizing PAS protocols, we expect to see significant increases in MEPAmp pre to post PAS, determined using paired t-tests. We also anticipate reliable PAS-induced increases in MEPAmp, which will be assessed using two reliability statistics: intraclass correlation coefficient and coefficients of variation of method error. Lastly, the increases in MEPAmp will be correlated with measures of sensorimotor function and walking ability, anticipating that greater increases in MEPAmp will be related to better walking ability and sensorimotor functioning. Correlations will be assessed via a Pearson’s correlation. A preset alpha = 0.05 will be used to determine significant findings. DISCUSSION/SIGNIFICANCE: The importance of this study is that establishing individualized PAS protocols could potentially provide a reliable and clinically relevant measure of SMI. Understanding post-stroke lower extremity SMI is necessary for furthering targeted and personalized interventions to combat walking deficits.

OBJECTIVES/GOALS: Diagnostic odyssey is the time it can take to a patient for receiving a diagnosis. Diagnostic process in rare diseases can be complex due to the heterogeneity of symptoms and lack of access to care. We aim to evaluate the association between diagnostic odyssey, perceived stress, and access to care, in parents of Puerto Rican patients with a rare disease. METHODS/STUDY POPULATION: We propose a cross-sectional study in parents of 100 children who received an uninformative whole exome sequencing (WES) report during a scheduled appointment with their geneticist. Discussion of WES results during clinical session, followed by a Perceived Stress Scale (PSS-10) and semi-structured interview to explore the experience of access to care during the diagnostic process will be arranged. Observation and interviews will be recorded. Data analysis and descriptive statistics will be calculated using STATA. Statistical associations (OR) will be estimated using generalized linear models at a 5% significance level. RESULTS/ANTICIPATED RESULTS: We expect to find high perceived stress in parents of Puerto Rican pediatric individuals having rare diseases, especially among single mothers. We will be able to identify limited access to care in Puerto Rico, especially in the testing pre-authorization process and long waits for geneticist appointments. Demand for advanced diagnostics is above the number of medical geneticists available in Puerto Rico, which triggers delayed diagnosis, management, and counseling. Therefore, these could affect the health disparities in our population with rare diseases. DISCUSSION/SIGNIFICANCE: This descriptive study will evaluate perceived stress in parents of pediatric patients living a diagnostic odyssey in Puerto Rico. No study has described perceived stress and access to care in this Hispanic population with undiagnosed conditions. Findings will contribute to a deep understanding of diagnostic process and limited access to care.

OBJECTIVES/GOALS: Adolescence represents a critical period for substance use initiation. Various factors may contribute to trying a sip or single puff of a substance, that could lead to more frequent use. However, less is known about how predictors from multiple domains converge to impact risk for general substance use initiation. METHODS/STUDY POPULATION: The Adolescent Brain Cognitive Development (ABCD) study is a multi-site longitudinal study following youth into early adulthood. The present study included 7,644 ABCD children who reported no lifetime substance use (including any experimentation) at baseline (ages 9–10). Our primary aim was to use a random forest classification model to predict binary substance use initiation, defined as trying any non-prescribed substance (e.g., alcohol, tobacco, cannabis, non-prescribed medications), during a 2-year follow-up after baseline. A total of 402 variables from the following categories were examined as predictors: demographics, peer substance use and availability, mental and physical health, culture and environment, biospecimens, neurocognitive functioning, and structural neuroimaging variables. RESULTS/ANTICIPATED RESULTS: Over a two-year follow-up, 751 (9.8%) of substance-naïve children reported trying a substance by age 11. The most common substance was alcohol, followed by cannabis and tobacco. Mean Decrease Accuracy (MDA) values were used to assess the relative importance of each predictor. The overall accuracy of the model in accurately predicting group membership (no substance use initiation vs. substance use initiation) was 57.66%. Of the top 5 predictors, the most important predictor was intent to use alcohol (MDA = .002). The following top predictors were structural neuroimaging variables: volume and surface area of right lateral occipital lobe (MDA = .0009 and .0008, respectively), surface area of right inferior temporal lobe (MDA = .0007), and surface area of left superior frontal lobe (MDA = .0007). DISCUSSION/SIGNIFICANCE: A combination of intent to use alcohol and structural neuroimaging indices were among the top predictors of substance use initiation. Understanding predictors of early substance use experimentation is important for identifying at-risk youth that may require targeted intervention approaches.