Objectives/Goals: Lack of comparative data limits research operations quality improvement (QI). The Northwest Participant and Clinical Interactions (NW PCI) Network, a group of 17 unaffiliated university and health system-based research centers, built an operations dashboard to track efficiency and enable multisite QI projects. Methods/Study Population: A Data Governance Working Group was assembled to establish shared data governance, draft nondisclosure (NDA), and data transfer and use agreements (DTUA) suitable across organizations and standardize research operations metric definitions. Sites in the NW PCI Network were recruited to participate in a pilot program to assess data sharing and governance infrastructure, data collection, upload procedures, and data visualization tools. The NW PCI Coordinating Center developed an analytical data dashboard of research operations metrics and conducted semi-structured interviews with participating sites to understand barriers and facilitators of program success. Results/Anticipated Results: Four sites (2 health systems, 2 universities) were recruited for the pilot and reviewed and executed NDAs and DTUAs. Three of the sites have submitted data for a total of 1,405 studies. Of the 24 requested data operations metrics (e.g., study startup, recruitment, implementation, and basic study information), 71% of the metrics were submitted by all three sites (n = 17), 25% were submitted by at least one site (n = 6), and 4% were not submitted by any site (n = 1). Interviews with sites after data submission found areas for improvements (clarification of data definitions, efficiency of data upload process) and positive effects for sites (e.g., process improved insight into own data operations). Discussion/Significance of Impact: Unaffiliated research centers created data governance procedures to enable sharing of operations data. Pilot sites successfully loaded most but not all operations data to the dashboard. Interviews identified process limitations and opportunities for improvement to inform expansion to all NW PCI sites.

Objectives/Goals: Skilled clinical research professionals are essential to efficient and effective research teams, but many undergraduate students are not aware of staff-level careers in the field. To address this, the Michigan Institute for Clinical and Health Research launched the Clinical and Health Research Professional (CHRP) Pathways Program. Methods/Study Population: The 10-week hybrid CHRP Pathways Program was piloted in Summer 2024. Undergraduate students interested in research careers were recruited from local universities and community colleges. The program consisted of 8 hours/week of didactic curriculum guided by ECRPTQ competencies and 32 hours/week of mentored work experience on research teams. Classroom activities were completed with participants from a partner program within the university. Surveys were administered at 3 weeks and 10 weeks along with an end-of-program focus group to assess acceptability and self-reported learning outcomes. Results/Anticipated Results: The pilot CHRP Pathways Program enrolled 3 students and was well-received by participating students and mentor research teams. Students agreed that they would recommend the program to their classmates. Students indicated that the program helped them understand the role of a study coordinator, provided insight into research career paths, and helped them form professional relationships. Self-reported confidence levels in a range of research competencies increased. Two students who completed the 10-week program chose to continue working part-time with their research teams while continuing their undergraduate studies. Discussion/Significance of Impact: Experiences like the CHRP Pathways Program provide valuable exposure to staff-level research career opportunities for students engaged in health science studies. They can address an existing workforce gap by equipping college graduates with relevant work experience and basic research competencies.

Objectives/Goals: Competencies of a principal investigator (PI) in clinical research are crucial for ensuring the success, integrity, and ethical conduct of a study. This protocol aims to assess training offerings focused on improving clinical investigator competency and build a set of best practices for training. Methods/Study Population: The authors have started by creating a committed group of key opinion leaders at Rutgers Health and across industry to advise on the process. A mixed-method assessment of the current state of clinical investigator training/education in the conduct of T1-T4 clinical trials is currently being conducted to identify existing practices. An evaluation and assessment of key competencies will be initiated. Education and training objectives and modules will subsequently be developed from this process. The program will be piloted to early career clinicians, faculty, fellows, investigators within NJACTS, and other CTSAs and later assessed for efficacy. Results/Anticipated Results: A summary and descriptive statistics of the landscape of training opportunities and the variabilities of these offerings to address the needs of these investigators is projected to exhibit the gaps in knowledge and skill set required for a PI to effectively conduct a clinical trial. This will serve as the basis for developing a micro-credential (PI Badge) by the NJACTS’ Workforce Development group. Variability across educational offerings from academic institutions, sponsor/CRO protocol/study training, and online courses may not foster applicable skills. This badge is focused on addressing a clinician’s understanding of the roles and responsibilities as they align to the Principal Investigator commitments listed in the FDA form 1572. Discussion/Significance of Impact: Whether or not micro credentialing will enhance principal investigator competency, this mixed-method assessment is poised to identify a common benchmark for success. The ability to deal with increasing protocol complexity requires investigators to be more adept at implementation and compliance to sustain their ability to conduct clinical trials.

Objectives/Goals: NIH requires researchers submit Data Management and Sharing (DMS) Plans with their grant applications. Librarians developed an assessment tool for the plans and completed a pilot assessment in order to leverage the plans and understand current institutional research data management and sharing. Methods/Study Population: The assessment tool includes questions related to evaluations of DMS Plans as well as questions related to the content of the plans. Evaluation questions were adapted from the Federation of American Societies for Experimental Biology evaluation rubric developed for the DataWorks! Data Management Plan (DMP) Challenge. Fields were added to collect information on the content of DMS Plans, including data type, institutional resources, data repositories, data standards, and data dissemination timelines. The assessment tool was tested in a pilot implementation. Seven library workers were trained and completed paired review samples of 27 DMS Plans (54 evaluations total) in order to test for tool reliability. Results/Anticipated Results: Results include findings on the reliability of the tool as well as preliminary results from an assessment of DMS Plans. Findings on the reliability of the tool include assessments of the paired reviewers for each question included in the tool. Paired reviewers generally agreed, but tended to differ on specific questions, including questions pertaining to the data types generated or used in a research project. Questions with high levels of agreement included subjects of study and code sharing practices. Results on the content of the DMS Plans include information such as data repositories used, data oversight responsibilities, and data and metadata standards employed. Discussion/Significance of Impact: DMS Plans present an opportunity to better understand data management and sharing practices, and good data management supports high-quality, reproducible research. Developing and testing assessment tools for these plans is a key step toward understanding and improving current research data management practices.

Objectives/Goals: Magnetic resonance imaging (MRI) reports are stored as unstructured text in the electronic health record (EHR), rendering the data inaccessible. Large language models (LLM) are a new tool for analyzing and generating unstructured text. We aimed to evaluate how well an LLM extracts data from MRI reports compared to manually abstracted data. Methods/Study Population: The University of California, San Francisco has deployed a HIPAA-compliant internal LLM tool utilizing GPT-4 technology and approved for PHI use. We developed a detailed prompt instructing the LLM to extract data elements from prostate MRI reports and to output the results in a structured, computer-readable format. A data pipeline was built using the OpenAI Application Programming Interface (API) to automatically extract distinct data elements from the MRI report that are important in prostate cancer care. Each prompt was executed five times and data were compared with the modal responses to determine variability of responses. Accuracy was also assessed. Results/Anticipated Results: Across 424 prostate MRI reports, GPT-4 response accuracy was consistently above 95% for most parameters. Individual field accuracies were 98.3% (96.3–99.3%) for PSA density, 97.4% (95.4–98.7%) for extracapsular extension, 98.1% (96.3–99.2%) for TNM Stage, had an overall median of 98.1% (96.3–99.2%), a mean of 97.2% (95.2–98.3%), and a range of 99.8% (98.7–100.0%) to 87.7% (84.2–90.7%). Response variability over five repeated runs ranged from 0.14% to 3.61%, differed based on the data element extracted (p Discussion/Significance of Impact: GPT-4 was highly accurate in extracting data points from prostate cancer MRI reports with low upfront programming requirements. This represents an effective tool to expedite medical data extraction for clinical and research use cases.

Objectives/Goals: To guide UCSF in adopting a justice-based, patient-informed model of health data sharing that moves beyond traditional regulatory frameworks that focus on individual privacy and do not address public good and health equity; to create a roadmap for UCSF to implement transparent, community-engaged data governance that is both responsible and effective. Methods/Study Population: We conducted 24 hours of observation at outpatient clinics and 75 in-depth interviews with multiple stakeholder groups: patients, community advisors, and UCSF faculty and staff involved in managing and governing health and research-generated data. We used an ethnographic approach to investigate health data sharing policies and practices and explore perspectives on data governance. We were particularly interested in how data sharing is explained to patients, and what patients and community members know and think about how patient data may be used other than for clinical care. We explored faculty, staff, patient, and community member perspectives about the potential involvement of patients/communities in data governance. We also reviewed UCSF websites with information about data use and sharing policies. Results/Anticipated Results: Policy Awareness: Clear communication and improved guidelines for data use policies will enhance awareness among patients, the public, and researchers, boosting UCSF’s credibility as a data steward. Risks/Benefits: Data sharing drives scientific and clinical progress but raises concerns about privacy, profiteering, and unequal benefit distribution. Improving the Data Ecosystem: Safe data sharing and public benefit can be strengthened through centralized governance and better communication. Key growth areas include deidentification, external sharing criteria, and leakage prevention. Shared Governance: Patients and community advisors favor shared governance with public involvement, while UCSF informants were equivocal. All are concerned about equitable representation and technical training challenges. Discussion/Significance of Impact: Our recommendations to University leadership: Improve communication of data sharing policies to patients and the public. Involve patients and the public in data governance. Support investigators to ensure understanding and compliance with data use policies. Hold UCSF and collaborators accountable for transparency, equity, and public benefit.

Objectives/Goals: Male urogenital tract development is influenced by hormonal signals, which may be disrupted by endocrine-disrupting chemicals like lead. This observational study investigates the potential link between lead exposure and hypospadias rates in Puerto Rican boys, focusing on regional hotspots of hypospadias. Methods/Study Population: Lead levels from water plants across Puerto Rico were analyzed using PR Aqueduct and Sewer Authority water quality certificates. Hypospadias rates in seven health regions were obtained from the Puerto Rico Department of Health’s Birth Defects Prevention and Surveillance System. Data were from Puerto Rican boys born to women aged 15 years or older from 2017 to 2022. Rates were calculated using 2020 Census data, and statistical analyses were conducted using Intellectus. Results/Anticipated Results: Significant differences in hypospadias rates and lead levels were found across health regions, with the highest rates observed in Bayamón and Arecibo (5 cases per-100,000 births). Bayamón had the highest average lead concentration (14.33 ppb). A Kruskal–Wallis test showed significant regional variation in lead levels (χ²(6)  =  16.82, p  =  0.010) and hypospadias rates (χ²(6)  =  16.53, p  =  0.011). Post hoc analyses revealed key differences between regions, notably Bayamón and Metro. Discussion/Significance of Impact: These findings suggest a potential spatial link between prenatal lead exposure and hypospadias risk, underscoring the need for targeted public health interventions. Future studies will explore anti-Müllerian hormone expression in lead-exposed Sertoli cells to better understand the biological mechanisms behind these patterns.

Objectives/Goals: Our goal was to develop a method for creating a streamlined, Clinical and Translational Science Awards (CTSA)-specific translational science scoring rubric to be used to differentiate between translational science and translational research projects during the pilot proposal review process. Methods/Study Population: We created a survey using the 24 Translational Science Principle-based questions sourced from Schneider et al.’s 2023 manuscript in JCTS. Survey respondents were asked to rank the questions from 1 to 24, with “1” being the question that is the most impactful for defining translational science at Penn State. The survey was distributed to our CTSA staff, faculty, and leadership who are well-versed in translational science across all CTSA Cores. The rankings were averaged per question. The five questions with the most impactful average score were selected to be used to evaluate translational science at our CTSA. Results/Anticipated Results: Nine individuals, including faculty, staff, and leadership, across five CTSA Cores completed the survey. The average ranking scores ranged from 6.1 to 20.3. The top five ranked items represented the following four Translational Science Principles: generalizable solutions, efficiency and speed, focus on unmet needs, and cross-disciplinary team science. Importantly, these five items and corresponding translational science principles reflect our CTSA priority areas, the infrastructure support we provide, and the translational research activities conducted at our CTSA. For example, team science is highlighted throughout our CTSA programming, including mini presentations during our CTSA meetings. Discussion/Significance of Impact: This method allows CTSA teams to reflect on their institutional work and share Core-specific perspectives of translational science. This CTSA-specific rubric allows for streamlined translational science pilot proposal evaluation in alignment with site specific CTSA mission and vision.

Objectives/Goals: Opioid use disorder (OUD) in pregnancy and its implications on the maternal-fetal interface has been relatively understudied. Here, we aimed to uncover the impact of maternal OUD on placental structure, function, and inflammatory responses and further stratified our findings by maternal hepatitis C (HCV) infection. Methods/Study Population: To address this knowledge gap, we collected placental tissue from healthy pregnancies (control) and those with opioid use disorder with and without maternal HCV infection. First, placental development was assessed by gross and histological examination of the placenta. Immune cells were then isolated from decidua (maternal) and chorionic villous (fetal) placental tissues, and the frequency and phenotype of immune subsets were determined by flow cytometry. Markers of inflammation, placental perfusion, growth factors, tissue remodeling, and vascularization were measured in placental tissue homogenate by multiplex Luminex assay. Finally, gene expression alterations in placental architecture were assessed by Visium spatial transcriptomics, integrating transcriptomic data with spatial information. Results/Anticipated Results: Our results indicate that maternal OUD impairs placental perfusion/development and is accompanied by increased markers of inflammation in the decidua (IL-1Ra, IL-2, IL-18, IP-10, MIP-1β, and TNFα) and villous (IL-6 and IL-8). Furthermore, markers of angiogenesis and placental development are altered in the decidua, including increased EGF and IL-6Ra, but decreased FLT-1, FLT-4, and bFGF. The abundance of placental immune cells is varied with OUD/HCV, including decreased frequencies of decidual macrophages and NK cells, critical for blood supply to the fetus, and increased abundance of infiltrating maternal macrophages in fetal chorionic villous. Finally, spatial transcriptomics revealed aberrant infiltration of activated immune cells and modified processes associated with inflammation and angiogenesis. Discussion/Significance of Impact: Altogether, these findings suggest a profound impact of maternal OUD with and without maternal HCV infection on the structure, function, and immune landscape of the maternal–fetal interface that can alter fetal development and maturation.

Objectives/Goals: Bacterial dysbiosis has emerged as an accomplice in the progression of many cancers. The pancreas microbiome changes in pancreatic cancer patients. The mechanisms via which components of the microbiome regulate tumor growth is unclear. We seek to determine if bacterial dysbiosis influences cancer cell behavior thereby promoting tumor progression. Methods/Study Population: We performed immunohistochemistry for lipopolysaccharide and observed bacteria preferentially located in close proximity to cancer cells. We utilized an in vitro cell culture system and in vivo mouse models, in the presence and absence of gut bacteria, to assess the effect of bacteria and bacterial metabolites on pro-tumorigenic signaling and transcriptional changes in the cancer cell. We analyzed cancer cells and epithelial cells using RNA sequencing, flow cytometry, and enzyme-linked immunosorbent assay. We also used targeted metabolomics to identify bacterial and cancer cell produced metabolites. Results/Anticipated Results: We found microbial dysbiosis can induce proliferation, an inflammatory response and an increase in tryptophan metabolism via the kynurenine pathway in the pancreatic cancer cell. Along with upregulated expression of IDO1 in vivo, we observe an increase in nicotinic adenine mononucleotide. Also, we observe an increase in nicotinic acid in vitro and nicotinic adenine dinucleotide within the cancer cell compartment in the presence of bacteria and bacteria conditioned media. Due to the critical role in many vital pathways of cell survival, NAD+ production is thought to play a significant role in cancer progression. Nicotinic acid can stimulate NAD production to protect cells from cell death. Discussion/Significance of Impact: Pancreatic cancer is associated with a distinct tumor microbiome and ablation slows disease progression. Our data delineate mechanisms via which microbes modulate the pancreatic cancer cell and provide insight into therapeutic strategies for gut microbial modulation in treating pancreatic cancer.

Objectives/Goals: This study aims to first understand the expression of the L-type amino acid transporter, Slc7a5, in demyelinated plaques in postmortem multiple sclerosis (MS) CNS tissue. It also seeks to understand the effect of a novel inhibitor of Slc7a5 on remyelination in mice with experimental autoimmune encephalomyelitis. Methods/Study Population: Using single-cell RNA sequencing (scRNA-seq), we will examine the expression of Slc7a5 in demyelinated plaques in postmortem CNS tissue of patients with MS compared to non-lesioned regions (n  =  3/group). Using visually evoked potential (VEP) on mice with experimental autoimmune encephalomyelitis (EAE), we will determine the ability of the Slc7a5 allosteric inhibitor OKY-034 to promote remyelination compared to EAE-only controls (n  =  10/group). Lastly, we will use spatial transcriptomics with scRNA-seq to map transcriptional activity within different populations of cells to determine how OKY-034 changes gene expression in specific cell types compared to EAE-only controls (n  =  3/group). Results/Anticipated Results: A conditional knockout of Slc7a5 showed that microglial activation and oligodendrocyte differentiation were affected in demyelinated lesions. This suggests that it plays a role in numerous cell types in active demyelinated plaques, which is what we expect to find from our scRNA-seq data in post-mortem CNS tissue of patients with MS. Measuring VEP is a noninvasive way to measure remyelination in both clinical and research settings. OKY-034 increases oligodendrocyte differentiation suggesting remyelination, so we expect that administration of OKY-034 in mice with EAE will lead to restored VEP compared to control and EAE-only mice. Lastly, because OKY-034 reduces inflammation, we expect to see a decrease in gene expression for genes involved in an immune response. Discussion/Significance of Impact: Completion of this study will lead to understanding what the effect the allosteric Slc7a5 inhibitor OKY-034 has on remyelination and whether it may serve as a novel therapeutic drug that can be administered orally for the treatment of MS. This could lead to its further development as a treatment for progressive MS.

Objectives/Goals: Evaluate use and reuse of data in biomedical fields to explore how data advances translational benefit for science and patients. Methods/Study Population: In this study, we use the metadata for 5 million data citations in the Data Citation Corpus as a source to analyze the use of datasets from biomedical fields across a number of facets, including date, affiliations, and funders. We identify examples of datasets that have been used across different research fields by analyzing the disciplinary scopes of the datasets and the publications that cite them and explore patterns of reuse of datasets beyond the original research project from which it was created. Results/Anticipated Results: The analysis will provide insights into datasets showing broad usage in biomedical fields, the patterns of data use over time, and the affiliations and funders associated with highly used datasets. The analysis will also dive into examples of datasets showing use across different fields and usage beyond the original project. The results will showcase examples of valuable datasets in translational research and serve as a basis for exploring different considerations around the impact of open datasets. Discussion/Significance of Impact: The exploration of data citations will provide insights into open data showing translational reach and an example of how the Data Citation Corpus can support evaluation of the impact of research data.

Objectives/Goals: Colorectal cancer (CRC) is classified into right-sided, left-sided, and rectal cancer. Clinicopathological and molecular features vary along the colorectum, even within subsites, leading to inconsistencies in identifying relevant biomarkers. We created a CRC metabolome map to explore diagnostic and survival heterogeneity across subsites. Methods/Study Population: A total of 372 patient-matched tumor and normal tissue samples were collected from seven colorectal subsites: cecum (n = 63), ascending colon (n = 44), transverse colon (n = 32), descending colon (n = 28), sigmoid colon (n = 75), rectosigmoid colon (n = 38), and rectum (n = 92). Liquid chromatography–mass spectrometry was used to compare metabolite abundances. Cox proportional hazards regression assessed metabolite impact on survival, adjusted for clinical covariates. Parametric and nonparametric tests were applied to compare the metabolite abundances. An interactive, publicly accessible online platform was developed to allow researchers to explore and generate hypotheses from this data. Results/Anticipated Results: Our study identified 39 and 70 significantly altered metabolites, including bile acids and lysophosphatidylcholines, across tumors and normal mucosa, showing metabolic heterogeneity between CRC subsites. We observed significant linear trends in metabolite gradients from the cecum to the rectum, and it was depended on the disease status. Comparison of tumors to patient-matched normal mucosa revealed metabolite changes exclusive to each subsite. Metabolite differences correlated with survival were unique to each subsite. Additionally, we developed an interactive, publicly accessible CRC metabolome database to share this valuable resource: https://colorectal-cancer-metabolome.com/yale-university. Discussion/Significance of Impact: This study provides the first CRC metabolome map, revealing metabolic differences across colorectal subsites. It challenges the right vs. left CRC classification, highlighting subsite-specific biomarker identification. Findings offer insights for personalized treatments tailored to the tumor type to improve patient outcomes.

Objectives/Goals: This poster details the development, implementation, and assessment of a comprehensive competency-based curriculum crosswalk and training plan aimed at enhancing the mentorship and skill development of translational research mentees within the National Institutes of Health (NIH) KL2 and TL1 Career Development Award programs. Methods/Study Population: The Center for the Improvement of Mentored Experiences in Research (CIMER) Mentoring Up for Early Career Investigators program, first developed by the University of Wisconsin-Madison, was further adapted by the Frontiers Clinical and Translational Science Institute (Frontiers CTSI). A competency crosswalk illustrates connections between a training curriculum and expected competencies. Developing a competency-based training crosswalk is a strategic approach designed to align mentoring practices with established NIH competencies, including the Seven Characteristics of a Translational Scientist, Mentoring Competency Assessment, Responsible Conduct of Research, Translational Teams, and TeamMAPPS. Results/Anticipated Results: The KL2 and TL1 Award Programs serve as ideal platforms for applying the developed curriculum. Implementing a competency-based, evidence-based, and culturally responsive curriculum for research mentee training has shown substantial benefits. Our pilot tests and full-scale implementation within the KL2 and TL1 Award Programs have demonstrated marked improvements in mentee competencies, such as technical skills, research design, and professional development as shown through evaluation feedback. Integrating the new Frontiers CTSI curriculum has fostered more effective and supportive mentoring relationships. Mentees have reported high satisfaction levels with the training program, particularly appreciating the interactive didactics, continuous feedback mechanisms, and reflective practices. Discussion/Significance of Impact: By adopting these recommendations, Clinical and Translational Science Awards (CTSA) and similar programs can improve research mentorship quality and impact, fostering a diverse cohort of skilled researchers. Implementing these strategies in CTSA mentorship programs offers a model for broader application in research training.

Objectives/Goals: Engaging interest holders in research is increasingly common, and guidelines include creating engagement plans. A detailed plan may be especially helpful when researchers perceive engagement as difficult or less relevant. We tested whether a study’s translational stage or an investigator’s years of research experience affect their perceptions. Methods/Study Population: Since 2019, the Tufts Clinical and Translational Science Institute Pilot Studies Program required applicants to submit plans to engage interest holders. Applicants in three cohorts responded to a survey about this requirement, including perceived difficulty developing an engagement plan, perceived relevance of engagement, and self-reported years of research experience (≤5, 6–10, and ≥10 years). Two raters assigned translational stage(s) of proposed studies: T0 (basic science), T.5 (pre-clinical to initial human studies), and T1 through T4. Separate analyses were conducted when multistage studies were coded as the earliest vs. latest stage and for individual stage vs. groups of stages (T0/T.5/T1 vs. T2/T3/T4). The Fisher’s exact statistical test was used to assess associations between variables. Results/Anticipated Results: Analyses included 67 participants. Developing an engagement plan was perceived as more difficult for studies at earlier translational stages when those studies were coded as the earliest applicable stage. This significant association held both when stages were grouped as T0/T.5/T1 and T2/T3/T4 (P  =  .03) and when analyzed as a single stage (P  =  .01); however, when studies were coded as the latest applicable stage, there were no significant associations. Similarly, when multistage studies were coded as the earliest applicable stage, engagement was perceived as less relevant for early-stage studies when grouped (P  =  .04), but not for individual stages or when studies were coded as the latest applicable stage. No significant association between years of research experience and perceived difficulty was identified. Discussion/Significance of Impact: Results show that investigators conducting early-stage research perceive more difficulty engaging interest holders, aligning with prior qualitative studies. These investigators may need more evidence of the value added to early-stage studies, targeted and practical training, and funder requirements to establish a culture of engagement.

Objectives/Goals: Mayo Clinic Florida’s Clinical Research Units develop over 200 clinical studies on average annually. Almost 30% of these projects are developed and then are unable to activate due to a variety of operational factors. To increase the success rate, a scoring tool was created to assess the risk associated with the development of these research projects. Methods/Study Population: A project team comprised of members of research administration and physician leadership developed a rapid project management (RPM) scoring tool to assess operational risk factors. The scoring algorithm was embedded into an existing REDCap database, using a combination of identified variables and calculated fields. All noncancer industry sponsor-initiated clinical studies were scored at intake. According to the following categories: enrollment timelines, study team capacity, and previous experience with the Sponsor. Studies with a score greater than the established threshold were referred to physician leadership for transparent discussions with the principal investigator regarding the identified study development-related risks. Results/Anticipated Results: The RPM tool has assessed close to 200 projects since implementation in June 2022. An interim analysis is being conducted of all projects assessed by the RPM tool dating from implementation to May 2024 to compare the outcomes of these studies with the given RPM score. We anticipate based on anecdotal evidence gathered during the course of this pilot project that the RPM tool will show a correlation between risks identified and study outcomes as defined as successful activation of trials, or rationale of project development failures. We anticipate a reduction in the amount of time elapsed and effort expended developing projects with scores reflecting identified project development-related risk factors. Discussion/Significance of Impact: The RPM tool provides an opportunity to allocate resources to studies with the greatest potential for successful activation. In the future, the RPM tool may be used to identify risk factors associated with enrollment and accrual of participants.

Objectives/Goals: Mood and anxiety disorders are a risk factor (Ozer et al., 2003) for posttraumatic stress disorder (PTSD) following trauma exposure. As such, a latent internalizing dimension may also be a risk factor. We examine how the shared variance between mood and anxiety symptoms (as in HiTOP; Kotov et al., 2021) impacts development of posttraumatic stress (PTS) symptoms, and symptom clusters. Methods/Study Population: Using data from a prior study of individuals who arrived at emergency rooms and were assessed at later time points (AURORA study; McLean et al., 2020), our sample included 1866 participants (1208 females, Mage  =  38.49 years) with available data for the proposed analyses. A latent factor (INTtotal) was operationalized as the shared variance between mood and anxiety symptoms (PROMIS Anxiety and Depression; Cella et al., 2010) as well as PTS symptoms (PCL-5, Weathers et al., 2013). We computed a second internalizing factor excluding PTS symptoms (INTma) to isolate the contribution of baseline affect and anxiety from PTS at baseline. We examined how baseline PTS symptoms, INTtotal, and INTma compare as prospective predictors for PTS symptoms at later time points and how these variables predict individual PTS symptoms. Results/Anticipated Results: Baseline INTma, INTtotal, and PTS symptoms were significant prospective predictors of PTS symptoms across all time points (all with t > 10, p < .005). When focusing on INTma relative to DSM-5 PTSD criterion (American Psychiatric Association, 2013), INTma significantly predicted later symptoms at six months posttrauma pertaining to Criterion D (t  =  18.88, p < .005), negative alterations in cognition and mood, Criterion E (t  =  15.44, p < .005) arousal and reactivity, and Criterion B, intrusion (t  =  15.44, p < .005). INTma significantly predicted symptoms in Criterion C, avoidance, though to a lesser degree (t  =  12.87, p Discussion/Significance of Impact: These findings bolster the utility of examining PTSD risk factors through a transdiagnostic lens. INTma was predictive of later PTS symptoms, independent of baseline PTS. Our analyses reveal clinical implications for the assessment of PTSD, and the tailoring of treatment for patients high in internalizing following trauma exposure.

Objectives/Goals: This poster describes the scientific rationale, needs assessment, programmatic elements, and impact of a community of practice (CoP) focusing on advancing equity in the science and practice of mentorship. Methods/Study Population: In 2023, the University of Wisconsin Institute for Clinical and Translational Research received NIH R13 funding to host a conference, the Science of Effective Mentorship (Asquith, McDaniels, et.al., 2023). Approximately 150 researchers and program leaders from Clinical and Translational Science Awards (CTSA) Hubs and beyond attended. Data were collected before, during, and after the conference, providing the authors with an initial idea of community needs. As a result, a mentorship CoP was formed. In the subsequent 18 months, a steering and advisory committee established a program of virtual, topic-focused virtual events every 3 months as well as a community website, with increasing attendance and utilization. A survey was disseminated after the completion of one year, and a focus group was held during the last virtual gathering. Results/Anticipated Results: The demand for infrastructure to support a national community of practice will be demonstrated. The demographic and positional diversity (e.g. role within a CTSA Hub) will highlight the opportunities of convening this diverse community. Organizational challenges and opportunities will be highlighted. Assessment data will reveal the broad range of needs and interests of participants. Aggregate demographic, professional, and participation data about community of practice members will be shared, as well as the governance and programmatic elements of this community of practice. Evaluation results from the first year of activity will be displayed. Needs for sustainability will be discussed. Discussion/Significance of Impact: CoPs are not new in the CTR space. Membership in a CoP may reduce isolation individuals feel as they negotiate the important work of equity in the biomedical workforce. Members of this community of practice share the expertise and commitment to promoting equity in the biomedical workforce through supporting robust culture of mentorship.

Objectives/Goals: Depression is common among people living with HIV (PLWH). This study explored the link between reduced metacognitive awareness and depression in PLWH. It utilized a positive emotion regulation task to compare brain activation during viewing versus upregulating positive emotions. Methods/Study Population: Depressed PLWH (N = 24; mean age  =  53; HAM-D mean  =  19) participated in an emotion regulation task while blood oxygen-level-dependent (BOLD) responses were recorded. In the emotional regulation task, participants were shown the International Affective Picture System (IAPS) a series of positive, negative, and neutral images. Participants were asked to view these images and given instructions to either negatively reappraise (RN) or positively reappraise (RP). In the RP condition, participants were no longer shown the image and asked to upregulate their positive emotional responses associated with it. Ten onset times were included for each trial. Results/Anticipated Results: A one-sample t-test was conducted to analyze contrasts between reappraisal of positive images and viewing positive images (RP > VP). Results showed significantly greater activation in the posterior cingulate and angular gyrus during the RP condition (peak MNI: 18, -52, 34; p < 0.001, uncorrected, k > 10 voxels). In comparing the reappraisal of negative images to viewing negative images (RN > VN), there was increased activation in the right supramarginal gyrus (peak MNI: 50, -28, 22; p < 0.001, uncorrected, k > 10 voxels). When contrasting the reappraisal of positive to negative images (RP > RN), BOLD signals were higher in the left dorsolateral prefrontal cortex (peak MNI: 40, -38, 32; p < 0.001, uncorrected, k > 10 voxels). Discussion/Significance of Impact: Findings underscore that depressed PLWH demonstrates BOLD responses in brain regions linked to appetitive motivation and meta-cognitive awareness during the RP condition which demands more executive resources among those with depression, highlighting the complexity of emotional regulation in this population.

Objectives/Goals: To probe microbe and bacterial extracellular vesicle (bEV) mobility through biological barriers, we use novel multiple-particle tracking technology. The goal is to evaluate changes caused by extracellular vesicles relevant to placental function and neonatal development. Methods/Study Population: We conducted multiple particle tracking to assess whole bacterial and bEV mobility in cervicovaginal mucus. To accomplish this, cervicovaginal mucus was self-collected from 10 women. Mucus samples were characterized via wet mount, Nugent score, and pH measurements. In parallel, we cultured commercially available vaginal bacteria strains in anaerobic conditions. We isolated bEVs via ultracentrifugation, and subsequently characterized them via nanoparticle tracking analysis to measure size, ζ-potential, and concentration. We investigated reproductive tract tissues response to bEVs. We dosed vaginal, endometrial, myometrial, and placental cells lines with bEVs over a 24 h period and determined uptake, viability, and cytokine production. One-way analysis of variance was used for statistical analysis. Results/Anticipated Results: Based on our previous work, size and ζ-potential greatly affect particle mobility in mucus. G. vaginalis and M. mulieris were smaller than L. crispatus and L. iners. G. vaginalis had a more net-neutral ζ-potential compared to other bEVs. During multiple-particle tracking analysis, whole bacteria were unable to diffuse through vaginal mucus, while bEVs showed increased mobility. Through fluorescence levels, we determined M. mulieris bEVs reach >90% uptake at 24 h. Uptake was verified via microscopy. Across all strains, bEVs were not detrimental to placental viability. When investigating cytokine production in placental cells, an increase in IL-6 was seen after treatment with L. iners bEVs, while TNFα was increased after treatment with G. vaginalis bEVs. Discussion/Significance of Impact: Vaginal microbiome dysbiosis increases adverse obstetric indications. We demonstrate that bacteria are unable to ascend to reproductive tissues. We propose that bEVs travel through vaginal mucus, facilitating microbe–host communication. This impacts obstetric disease pathology and is relevant for diagnostic criteria during pregnancy.