Objectives/Goals: Port-site metastasis (PSM), defined as the spread of malignancies to the abdominal wall at the site of surgical ports, poses a significant challenge in cancer management. The objective of this summary overview is to describe the prevalence of and risk factors associated with PSM in various gynecological cancers after laparoscopic surgery. Methods/Study Population: Study design: Systematic Review and Meta analysis Search strategy: All international databases, without language limitations, from January 1990 to December 2023. Inclusion/exclusion criteria: Cohort, case–control, or cross-sectional observational studies reporting the frequency of, or risk factors for PSM in young and middle-aged women will be included (using the PRISMA checklist). Data extraction: two reviewers independently extracting pertinent data (using the STROBE checklist). Quality assessment and risk of bias: The quality of each study will be assessed according to the Quality Assessment Tool for Observational Studies. Results/Anticipated Results: This meta-analysis of 36 studies evaluated the proportion of successes across various populations, with a pooled proportion of 0.02 (95% CI: 0.01–0.02) based on a random-effects model. Significant heterogeneity was identified (I²  =  88.12%), reflecting notable variability between studies. Despite this, the overall effect was statistically significant (p  =  0.00). A subgroup analysis will be conducted to explore potential sources of heterogeneity, considering factors such as cancer stage, diagnostic methods, surgical approach (conventional or robotic), and study type (retrospective/prospective). Discussion/Significance of Impact: By identifying the prevalence of, and the risk factors for, PSM, this study will better inform personalized treatment approaches, surveillance strategies, and surgical decision-making to improve patient-related outcomes and long-term survival in women with gynecological malignancies.

Objectives/Goals: Adolescence is a critical period where brain networks are thought to be influenced by environmental factors. This presentation examines violence exposure’s impact on brain connectivity and identifies potential protective factors. Methods/Study Population: A secondary data analysis was conducted using data from a subsample of the Adolescent Brain Cognitive Development Study (release 5.1). Youth who completed victimization questionnaires at two time points were eligible for inclusion, resulting in 2016 participants. Linear regression was utilized to analyze associations between violence exposure measured by the juvenile victimization questionnaire and functional connectivity of specified regions of interests using the Gordon functional parcellation for cortical regions and the Freesurfer parcellation for subcortical regions. Moderation analysis will be utilized to assess the effects of peer and caregiver support on the associations between violence exposure and functional connectivity, currently ongoing. Results/Anticipated Results: Between 18 and 59% of the sample reported experiencing at least one form of violence exposure, with racial differences noted in missing versus complete data. Multiple domains of violence and cumulative exposure were associated with both increased and decreased functional connectivity across within-network, between-network, and network-subcortical regions. At baseline, internet violence was linked to lower within-network connectivity, while peer victimization was associated with higher connectivity at both baseline and follow-up. Between network analysis showed lower connectivity with witnessing violence at baseline and higher connectivity with internet victimization at follow-up. Discussion/Significance of Impact: These findings emphasize the need for further exploration of the underlying mechanisms that link violence exposure to developmental trajectories and identification of protective factors such as caregiver and peer support, to inform interventions and promote resilience in affected youth.

Objectives/Goals: Trainees in clinical and translational science (CTS) must learn to effectively communicate their research ideas and findings to a range of audiences. As part of our science communication curriculum, we developed ORAL and WRITTEN science communication rubrics for our trainees to use across their courses and research activities. Methods/Study Population: The Tufts CTS Graduate Program is the training core of the Tufts CTSI and its associated pre- and post-doctoral T32 awards. Approximately 10 trainees with a range of backgrounds (e.g., physicians, medical students, master’s-level researchers, and basic science PhDs) matriculate each year. Faculty members and staff with expertise in science communication and pedagogy formed a committee to develop the rubrics. Because oral and written communication require different skills, we developed separate rubrics for each. We reviewed our current science communication curriculum, reviewed existing communication rubrics, and identified common mistakes students make. Following pilot testing by students and faculty pilot for one semester, we modified the rubrics based on informal feedback. Results/Anticipated Results: Both rubrics include a section to identify the target audience and specific items organized by theme. Oral rubric themes include presentation content, slides, verbal communication, nonverbal communication, and following instructions. Written rubric themes include overall, manuscript/proposal sections, and following instructions. The rubrics serve as feedback tools for faculty and students to evaluate work others produce and as self-evaluation tools. Feedback elements include a 4-point rating for each rubric item, open text feedback for each theme, and an open text holistic assessment. We now use the rubrics in our study design course, which features student presentations of planned research, and in our writing course. We anticipate collecting formal student feedback to further evaluate the rubrics. Discussion/Significance of Impact: Our rubrics can supplement existing science communication training and can be integrated into all CTS coursework and research activities. For future clinical and translational scientists to have the greatest impact, they must learn to effectively communicate findings to multiple audiences, ranging from experts in their field to the general public.

Objectives/Goals: To explore how generative AI and chatbot technologies can transform clinical research administration by improving operational efficiency, reducing administrative burden, and thereby enhancing overall productivity and accuracy in clinical research environments. Methods/Study Population: This explores AI’s application in enhancing clinical research administration. We specifically address AI’s role in QCT/MCA activities, charge master data cleaning, and generating IRB consent forms from award documents. AI algorithms optimize charge master data for accuracy and compliance. Generative AI models are employed to produce IRB consent forms efficiently, incorporating key grant documents. AI also conducts thematic analyses of historical CTSA aims to identify trends and recurring themes. Furthermore, AI-assisted tools enhance study design through innovative approaches to hypothesis generation, sample size calculation, and protocol development. Integrating these AI methods aims to significantly improve efficiency, accuracy, and overall quality in clinical research administration. Results/Anticipated Results: Incorporating AI into clinical research administration will yield improvements in efficiency and accuracy. AI-driven QCT/MCA steps are expected to reduce human error and enhance data integrity. Chargemaster data cleaning via AI prompts will likely result in optimized, error-free data, ensuring compliance with regulations. The use of genAI for creating IRB consent forms from grant documents should significantly streamline the IRB approval process, reducing preparation time and administrative burdens. Thematic analysis of CTSA aims by AI will provide deep insights into historical trends and recurring themes, aiding in strategic planning. AI-assisted study design tools are anticipated to optimize sample estimation, protocol development, and advance the quality of clinical research administration. Discussion/Significance of Impact: The significance lies in enhancing efficiency, accuracy, and quality in clinical research administration. By streamlining processes, reducing errors, and providing strategic insights, AI supports the CTSA mission to accelerate translational research, thus improving public health outcomes and scientific innovation.

Objectives/Goals: Personalized cancer therapy based on genomic testing is advancing patient care. Genomic alterations in fibroblast growth factor receptor (FGFR) predict response to FGFR inhibitors; however, the role of RNA expression and protein activation is not known. We propose to examine the phospho-proteomic signature in FGFR-altered cancers to identify new candidates for FGFR-targeted therapies. Methods/Study Population: In our preliminary study, we have curated a cohort of FGFR2 mutants (13 FGFR2-fusions and 4 FGFR2 point mutations) with known clinical outcomes to FGFR inhibitors and 8 FGFR2 wild-type (WT) cholangiocarcinoma tumor samples to investigate the phospho-proteomic fingerprint using a clinical grade reverse phase protein array (RPPA). RPPAs are high throughput quantitative antibody-based proteomics assays that can quantify hundreds of proteins in thousands of patient tissues providing a high degree of sensitivity through laser tumor microdissection (LCM). We have selected proteins in the FGFR signaling pathway including FGFR2, AKT, ERK1.2, STAT1/3, FRS2, and PLCg to define the range of phospho-proteomic signal between FGFR2 WT and mutant cancers. All samples will undergo evaluation with RNASeq for gene expression. Results/Anticipated Results: Our initial analysis defined the range of RNA expression of FGFR2 and pFGFR2 protein signal (Y653/654 and Y769) between FGFR2 WT and FGFR2 mutant samples. On average, the FGFR2 mutant cohort displayed higher FGFR2 RNA expression compared to the FGFR2 WT cohort. There is no apparent correlation between RNA expression and clinical response to FGFR-targeted therapy. However, in this small cohort, there is no significant difference in FGFR2 phosphorylation between FGFR2 WT and mutant cancers. RPPA analysis of FGFR downstream signaling proteins reveals a wide range of phosphorylation, but no significant difference between FGFR2 WT and mutant cancers. Discussion/Significance of Impact: These findings illustrate the complexities of FGFR signaling between FGFR2 WT and mutant cancers. These data suggest that tumors with genomically WT FGFR may display increased pFGFR2 and downstream signaling phospho-proteins. We propose a larger study of cholangiocarcinoma to evaluate evidence of FGFR pathway activation in WT tumors.

Objectives/Goals: The Research Education and Community Health (REACH) coalition proposes to develop the infrastructure for continuous and comprehensive collection of community health data to drive programs, education, and funding priorities across municipal agencies, institutions, and nonprofit organizations in Galveston County. Methods/Study Population: The workgroup through REACH will organize and adopt a comprehensive community health needs assessment that 1) accumulates existing, readily available data for shared use (e.g., Center for Health Care Data at the UT School of Public Health, the Texas Department of State Health Services Center for Health Statistics, and Epic Cosmos, a data aggregation tool, used by UTMB and other health systems to improve patient care); 2) utilizes data collected throughout the community (i.e. non-profits, municipal agencies, and law enforcement); and 3) applies qualitative data from focus groups and/or key informant interviews, so we can hear directly from community members about what their needs are. By doing so, we hope all can benefit from having access to current and relevant data to drive our programs, education, and funding. Results/Anticipated Results: This Community Health Needs Assessment is being coordinated by a diverse workgroup including community organizations, researchers, and policy makers who will benefit from access to current and relevant data. The Galveston Youth Risk Student Survey, completed every three years and most recently in 2024, revealed lingering health and mental health effects of the COVID-19 pandemic on County youth. This highlighted the need for community access to current, accurate, and ongoing data to drive programming, interventions, and education. The REACH Coalition, made up of 23 UTMB Centers and Institutes and 39 community organizations, is spearheading this effort as a part of its mission to facilitate collaborative research, service, and educational efforts. Discussion/Significance of Impact: Collected data will be used to establish and support ongoing, coordinated interventions in response to identified needs. Shared ownership of data and project implementation optimizes resources and reduces gaps and/or redundancy in community programming.

Objectives/Goals: Cognitive decline is a known sequalae of intracranial radiation in the treatment of brain metastases. In this study, we investigate global structural changes in the brain akin to accelerated aging and compare aging kinetics between patients treated with whole-brain radiation therapy (WBRT) and stereotactic radiosurgery (SRS). Methods/Study Population: This retrospective study consists of patients with brain metastases treated with WBRT and SRS at our institution. Brain MRI images collected prior to radiation therapy and at approximately three and six months following radiation will be analyzed, excluding patients with evidence of worsening disease burden in the brain. Surface morphology of the cerebral cortex and sub-cortical structures will be extracted using Freesurfer and converted to graphs. Data will then be input into a validated graph convolutional neural network model to estimate brain age at each time point. A generalized linear model will be used to estimate the aging pace between baseline and follow-up for each subject within the whole brain as well as the sub-cortical structures, which will be compared between WBRT and SRS treatment groups. Results/Anticipated Results: We anticipate that intracranial radiation will accelerate brain aging to a greater extent following WBRT compared to SRS. Additionally, this accelerated aging will occur globally in the whole brain as well as within individual substructures, including the cerebral cortex, nucleus accumbens, amygdala, caudate, hippocampus, pallidum, putamen, and thalamus. Discussion/Significance of Impact: This study will demonstrate structural changes in the brain analogous to accelerated aging, supporting its potential use as an imaging biomarker to monitor cognitive decline after radiation therapy. Future work will explore the relationship between structural brain aging and assessments of neurocognitive function.

Objectives/Goals: Nucleoside transport by ENT2 facilitates transit of the lupus anti-DNA autoantibody Deoxymab into cells and across the blood–brain barrier into brain tumors. This work examines the Deoxymab-nucleoside interactions that contribute to membrane crossing and apply them in brain tumor therapeutics. Methods/Study Population: Deoxymab interactions with individual nucleosides, nucleobases, and pentose sugars are examined by surface plasma resonance (SPR) and cell penetration assays in a panel of cell lines including glioblastoma, breast cancer, and normal breast epithelial cells. Deoxymab-conjugated gold nanoparticles are generated and tested for binding to normal human astrocytes and glioma cells, and the impact of supplemental nucleosides on this binding is determined. Deoxymab-gold nanoparticles are tested for brain tumor localization by systemic and local administration in mice bearing orthotopic glioblastoma brain tumors and enhancement of laser interstitial thermal therapy (LITT) examined. Results/Anticipated Results: Individual nucleosides significantly increase the efficiency of cell penetration by Deoxymab in all cell lines tested. In contrast, component nucleobases and pentose sugars significantly suppress the uptake of the autoantibody into cells. Deoxymab-conjugated gold nanoparticles bind DNA in vitro and to astrocytes in culture and are anticipated will enhance the efficacy if LITT in vivo by associating with DNA released by necrotic tumors and/or by locally administered nucleosides in brain tumor environments and subsequently act as heat sink to amplify LITT impact. Discussion/Significance of Impact: Deoxymab is a DNA-targeting, cell-penetrating autoantibody. These findings establish nucleosides as the components of DNA that promote autoantibody membrane crossing through ENT2 activity and indicate potential for use of Deoxymab-gold nanoparticles in combination with LITT for brain tumor therapy.

Objectives/Goals: Diabetic kidney disease (DKD) affects 40% of diabetic patients, leading to renal failure, yet the molecular drivers remain elusive. MicroRNAs, noncoding regulators of gene expression, may hold the key. This study aims to identify key miRNAs in DKD, providing crucial insights for early intervention. Methods/Study Population: miRNA sequencing was conducted on kidneys from 8-week old male BTBR wild type and BTBR ob/ob mice. BTBR ob/ob mice lack the hormone leptin and spontaneously develop type 2 diabetes, with morphological renal lesions characteristic of human DKD. Total RNA was extracted from whole kidney sections and processed using the QIAseq miRNA library kit. Sequencing was performed on an Illumina NextSeq 550 platform. GeneGlobe analysis was used to identify differentially expressed miRNA functional pathways, while ingenuity pathway analysis (IPA) was employed to predict master regulators and causal networks involved in DKD. Results/Anticipated Results: miRNA sequencing identified significantly differentially expressed miRNAs (p < 0.05) between 8-week-old BTBR WT and BTBR ob/ob male mice, including miR-34a (-6.86 fold), miR-122 (-5.01 fold), miR-129 (-2.23 fold), miR-142a (+2.78 fold), miR-346 (+4.66 fold), miR-547 (-2.49 fold), miR-592 (+11.81 fold), miR-802 (-6.95 fold), and miR-6539 (-7.93 fold). Qiagen GeneGlobe analysis revealed biological processes potentially targeted by these miRNAs, including endocytosis, phagocytosis, hyperglycemia (p = 7.59e-3), and insulin-dependent diabetes (p = 4.32e-4). IPA predicted activation of RRAS, a small GTPase regulating cell growth and signaling (Z-score +2), with miR-34a and miR-122 targeting MYC, PI3K, and TGF-β in DKD progression in BTBR ob/ob mice. Discussion/Significance of Impact: We identified kidney miRNA expression in BTBR ob/ob mice at a pivotal disease stage. miR-34a, miR-122, and RRAS emerged as key drivers in DKD progression, showing remarkable early biomarker potential. These findings lay the groundwork for early detection and innovative therapies to halt DKD and improve patient outcomes.

Objectives/Goals: The prevalence of type 2 diabetes (T2D) in adolescents is rising, presenting unique challenges for recruitment in clinical research – particularly among adolescents who belong to minoritized race/ethnic backgrounds. The primary aims of our study are to identify and address barriers to recruiting adolescents, particularly around community trust. Methods/Study Population: This study employed a two-phase approach to evaluate recruitment strategies for underrepresented adolescent populations in genomics studies of T2D. After IRB approval, in Phase 1, we utilized the electronic medical record (EMR) system at Children’s of Alabama to prescreen based on inclusion criteria (adolescents aged 12–18 years with T2D). Recruitment efforts were tailored to address barriers unique to underrepresented populations, such as flexibility in scheduling contact times to accommodate family availability. In Phase 2, we are implementing and assessing the effectiveness of a peer recruitment model, wherein adolescents from underrepresented groups are trained to engage peers within their community. Focus groups (6–8 participants per group) will explore facilitators and barriers to recruitment. Results/Anticipated Results: Phase 1 revealed that EMR prescreening effectively identified eligible participants, and direct outreach (phone calls, face-to-face contact during clinical visits) significantly improved recruitment success, especially among underrepresented adolescents. Flexible scheduling and consolidating study appointments enhanced participation, addressing logistical challenges like geographic distance. However, frequent changes in contact information (phone and email information) created barriers. In Phase 2, early focus group results suggest that peer recruitment is promising, with trust and community engagement being key factors. Adolescents recruited by peers were more likely to participate, though logistical hurdles such as transportation and family concerns remain. Discussion/Significance of Impact: Our study demonstrates the value of personalized outreach and prescreening in improving recruitment among adolescents. These strategies can engage communities that include Black, Indigenous, and People of Colored. These findings underscore the need for flexible recruitment strategies to ensure their participation in T2D adolescent research.

Objectives/Goals: This scoping review examines common characteristics of Community Engagement Studios, defined as custom panels bringing together community partners with lived experience around a health issue to provide highly tailored feedback to a research team. The authors also identify health service fields that most commonly use community engagement studios. Methods/Study Population: This scoping review will follow procedures outlined in the Joanna Briggs Institute Manual for Evidence Synthesis. Inclusion criteria are limited to peer reviewed manuscripts published between 2010 and 2024. Key word searches for terms related to Community Engagement Studios will be conducted within Embase, MEDLINE, CINAHL, and Web of Science. Experimental, quasi-experimental, observational studies, process and conceptual manuscripts published in English or Spanish meet inclusion criteria. Two reviewers will reach consensus about article inclusion. Data analysis will include content analysis and descriptive statistics. Results/Anticipated Results: The results for studies that meet inclusion criteria will be summarized through descriptive tables of study characteristics, the number of studies excluded at the full-text review stage, and reasons for the exclusion of any studies that met the initial inclusion criteria. The results will also include a summary of common elements in the design of CE studios, the health disciplines for which CE Studios are most frequently conducted, and the aspect/phase of research design for which CE Studios are most frequently requested. Discussion/Significance of Impact: To date, no work exists examining key elements of Community Engagement Studios and the fields within health services using this valuable research tool. This scoping review is a critical first step to develop guidelines, standards, and best practices around consistent procedures and characteristics to include in the design and conduct of CE Studios.

Objectives/Goals: Pharmacogenomic (PGx) testing identifies genetic variations affecting medication response but is not yet in routine clinical whole-genome sequencing (WGS) workflows. We aimed to establish a streamlined bioinformatics pipeline for incorporating PGx reporting into clinical WGS and to determine clinical implications for medication treatment. Methods/Study Population: A PGx profiling pipeline based on existing WGS data was developed, integrating three WGS-based PGx calling tools: Aldy, PyPGx, and Cyrius (CYP2D6 only), to provide genotype calls for 17 key pharmacogenes. The pipeline was validated using WGS data from 70 individuals with diverse backgrounds (36% European, 27% African, 27% Asian, and 10% admixed) from the Genetic Testing Reference Materials Coordination Program (GeT-RM). Results were manually reviewed against published data. The validated pipeline was then applied to 144 clinical patients previously screened for neurodevelopmental disorders or suspected hereditary diseases, followed by diplotype-to-phenotype translation and preemptive PGx-guided medication recommendations based on consensus guidelines and FDA labeling for commonly used medications. Results/Anticipated Results: Congruent phenotype call rates for GeT-RM samples were 100% for 13 genes (CFTR, CYP2B6, CYP2C19, CYP2C9, CYP3A4, CYP4F2, DPYD, G6PD, IFNL3, NAT2, NUDT15, TPMT, and VKORC1), 99% for three genes (CYP3A5, SLCO1B1, UGT1A1), and 97% for CYP2D6, indicating strong pipeline performance. Among 144 clinical patients, 99.3% had at least one clinically actionable PGx results relevant to 36 of top 300 medications in the USA across psychotropic, cardiovascular, musculoskeletal, gastrointestinal, and other therapeutic areas. The most prevalent drug–gene interactions involved sertraline and CYP2B6, affecting 49% patients: 41% were intermediate metabolizers who may require slower titration and lower maintenance doses, while 8% poor metabolizers may benefit from a lower starting dose or alternative antidepressants. Discussion/Significance of Impact: Our validated WGS-based PGx profiling pipeline successfully extracted actionable PGx data from clinical WGS. By aligning PGx profiles with guideline-recommended clinical actions, we demonstrated the clinical value of integrating PGx reporting in WGS workflows, improving personalized medication management.

Objectives/Goals: Despite efforts to support healthcare researchers to navigate translational gaps and achieve health impact, impact remains rare. We were interested in determining whether, when, and how researchers were taking actions to optimize the translational potential and impact of their research. We also wanted to identify ways to support optimization. Methods/Study Population: Our sample was drawn from Tufts CTSI’s annual outcomes survey respondents (2017–2022) and included tufts principal investigators who had at least one project that reported an outcome (e.g., publication, presentation, funding application, research products, intellectual property protection, and implementation) on the survey. We excluded individuals no longer based at Tufts, no longer working in research, and holding a non-leadership role in their research. We drew a random sample of 58 researchers from the database. Of these, 11 (19%) were excluded, 32 (55%) did not respond to our invitation, 3 (5%) declined to take part, and 12 (21%) were interviewed. The study was approved by Tufts IRB and semi-structured interviews were recorded via Zoom, transcribed in full, and analyzed using the qualitative software Dedoose. Results/Anticipated Results: We interviewed 12 participants, both male (5) and female (7), from 11 different fields, working in preclinical (2), clinical (6), and public health (4) research at assistant (3), associate (5), and full professor (4) rank. There was variety in the way that researchers conceptualized and anticipated pathways to impact. While researchers almost always described their motivation as connected to improved patient care, their ideas of impact were commonly described as research products or outputs, and there was little attention to planning and executing for real-world use. Researchers spoke about challenges related to competing career demands, institutional barriers, organizational culture, and lack of connections. Strategies to address these challenges included mentorship, collaboration, and policy work. Discussion/Significance of Impact: The disconnect between researchers’ ideas of output and impact was notable, and while researchers sometimes mentioned dissemination via publications and committees, use of dissemination and implementation frameworks were very infrequent. Fragmented approaches and implementation science gaps remain significant barriers to health impact.

Objectives/Goals: Develop a cervicovaginal mucus replacement to prevent bacterial vaginosis (BV) in pregnant women. Our therapeutic, specialized hydrogel in natural enhancement for vaginal health (SHINE-VH), is formulated through polymer chemistry, tested for efficacy and safety through microbiology, and translated through clinical and translational science. Methods/Study Population: We will develop SHINE-VH with optimized viscoelastic and mucoadhesive properties intended to mimic healthy vaginal mucus. SHINE-VH will be synthesized via robust photoiniferter methods and investigated through shear rheology, sugar binding, and permeability studies. To evaluate the biocompatibility and safety profile of SHINE-VH, we will utilize a series of in vitro models to test its impact on the viability and cytotoxicity of human vaginal epithelial cells. In addition, we will assess the capacity of SHINE-VH to fortify vaginal barrier integrity and modulate anti-inflammatory activities in a 2D epithelial barrier model exposed to BV-associated pathogens. Lastly, employing organ-on-a-chip technology, vaginal swabs from both healthy and suspected BV pregnant patients will be treated with SHINE-VH. Results/Anticipated Results: SHINE-VH will mimic the protective, hydrophilic gel network of natural mucins. The viscoelastic properties of our formulation determined by shear rheology will be tuned through concentration and polymer composition to mimic vaginal mucus. We will also show the facile movement of small molecule nutrients through the SHINE-VH network via sugar-binding and permeability tests. Additionally, we anticipate that the introduction of SHINE-VH, due to their xenobiotic nature as synthetic mucins, will modulate the microbiota by diminishing inflammation, thereby reinforcing the cervicovaginal mucus and cultivating a vaginal microbiome that is more resilient to the disruptive impacts of BV. Such modulation could lead to a marked difference between the SHINE-VH-treated and untreated groups. Discussion/Significance of Impact: BV affects ~30% of women globally and is associated with severe gynecologic and obstetric complications, representing a significant unmet need in women’s health. SHINE-VH offers a novel approach to BV management, aiming to strengthen vaginal mucosal integrity, potentially reducing BV prevalence, and improving women’s health outcomes.

Objectives/Goals: Despite the acknowledgment of post-Ebola syndrome (PES), young EVD survivors have received little attention. The mechanistic drivers and long-term consequences of PES and EVD early in life are unknown. We aim to define PES presentations in pediatric EVD survivors and propose potential mechanistic factors contributing to PES in young people. Methods/Study Population: Here we focus on physical health outcomes in an ongoing cohort study assessing mental and physical health in pediatric EVD survivors (age Results/Anticipated Results: 671 participants were enrolled between 2021 and 2022 (Infected: n = 226, Affected: n = 207, and Control: n = 238). Groups were similar in sex distribution (52.7%, 54.0%, and 53.8% female, respectively) and mean age, although the Infected group was slightly older (14.6 y) than the Affected (13.5 y) and Control groups (14.1 y), a difference unlikely to be clinically significant. Notably, the EVD Infected group exhibited a higher burden of symptoms, with significant findings in cardiac, MSK, ophthalmologic, and “ear, nose, and throat” systems. Principal component analysis showed differential patterns of sequelae across the groups, primarily defined by MSK. Discussion/Significance of Impact: PES is heterogeneous in pediatric EVD survivors. EVD Affected children exhibit a similar yet distinct pattern of clinical sequelae indicating ecological factors impact sequelae and raising questions about the mechanistic drivers of PES in children. Potential mechanisms include inflammation or accelerated aging and immune dysfunction.

Objectives/Goals: The SC CTSI’s Online Educational Library (OEL) is a robust clearinghouse for educational content, containing approximately 250 videos. We outline the motivation, method, process, and outcomes for undertaking a massive recategorization of our OEL to better align the videos with applied skills necessary for clinical research professionals. Methods/Study Population: Our hub’s robust workforce development and educational cores produce seminars, classes, lectures, and symposia that are recorded and repackaged for the OEL. The audience for our OEL includes research professionals from all stages of their career, such as research coordinators, research administrators, regulatory experts, biostatisticians, students, academics, investigators, community members, and others at our institution and globally. The content in the OEL was not efficiently organized and thus difficult for researchers to use. We employed qualitative content analysis to organize the videos in alignment with the eight competencies created by the Association for Clinical Research Professionals (ACRP), augmenting the competencies to best capture the content of and skills being taught in our videos. Results/Anticipated Results: We refined the ACRP categories to best fit our needs and applied the categorization mechanism to approximately 250 videos. Our categories included communication, dissemination, and teamwork (45 videos), data management and informatics (27), ethics and participant safety (13), leadership and professionalism (24), regulatory and quality sciences (48), research and study conduct (44), research and study design (49), study and site management (54), and other (27). Some videos appear in multiple categories. Discussion/Significance of Impact: Detailing our approach and process will help other CTSAs harmonize their educational offerings to move toward a more unified method and process for organizing trainings and education in the CTR space and will better serve learners.

Objectives/Goals: To present an asset-based approach to advance minoritized patients’ participation in clinical research by elevating experienced Black research participants’ motivations and decision-making processes, favorable sociocultural research contexts, and impactful research questions to reduce chronic disease burden and improve quality of life. Methods/Study Population: Data will be extracted from a pilot study to develop an asset-based approach to clinical research with young Black adults living with chronic pain. Participants will be Black patients at an academic medical institution on the West Coast, ages 21 to 44, currently or formerly have chronic pain, and current or previous electronic health record-captured enrollment in a clinical research study. Approximately 25 Black patients will participate in semi-structured focus groups with topics including: motivations for research participation, access to research, preferred research activities, perceived research benefits, favorable structural and cultural contexts, considerations of past ethical and trust violations, and alignment of research questions and patient needs. Data will be collected Fall ‘24 and analyzed in Winter ‘25. Results/Anticipated Results: We will examine experienced Black clinical research participants’ decision-making processes for participating in research, including access to studies, perceived value of research, community support, and alignment of study goals with their personal interests and needs. Results will illuminate the sociocultural, structural, and historical contexts under which Black patients have successfully participated in clinical research, and types of studies they have participated in, and recruitment procedures that have been effective. Also, we will examine the conditions for successful study completion. Investigators will also learn about the types of clinical research questions that minoritized patients believe will have an immediate and long term impact on their lived experienced with chronic illness. Discussion/Significance of Impact: The results will challenge deficit models of minority research participation that focus solely on barriers to participation, previous ethical harms, and violations of trust/trustworthiness by elevating the motivations, favorable contexts, and empirical priorities of experienced Black clinical research participants.

Objectives/Goals: Clinical trial success requires recruiting and retaining diverse participants. The ER&R Certificate Program trains clinical research professionals (CRPs) in equity, diversity, and inclusion (EDI), addressing biases, and integrating regulatory knowledge with practical skills to foster inclusive research practices. Methods/Study Population: An interdisciplinary Steering Committee, supported by Duke CTSI and DOCR, developed and implemented an engagement, recruitment, and retention certificate program (ER&R) for CRPs. With expert-led instruction, including e-learning, group sessions, and hands-on activities, ER&R integrates EDI into participant engagement practices. Participants complete 7 core courses and at least 3 elective courses, reflecting their unique responsibilities. Program evaluation uses the Kirkpatrick model to assess participant learning, competency, and EDI integration into clinical research. Since launch, the program has expanded to include clinical research trainees from Durham Technical Community College. All elements of the program were designed to allow for sharing across academic medical institutions. Results/Anticipated Results: A total of 202 CRPs and trainees have participated since launch (2020), including 17 trainee participants from Durham Technical Community College (2022–2024). Post-program evaluations showed significant growth in recruitment and retention self-efficacy. An early evaluation of the first 2 cohorts (n = 59) included a self-assessment across defined competencies showing marked increases in comfort across all learning objectives, with notable gains in: Community and Stakeholder Engagement, Recruitment on a Shoestring Budget, Community-Engaged Research Initiatives, and Social Marketing. Participants valued the program’s focus on EDI and sought more practical strategies and peer collaboration. 50 additional institutions have engaged with our implementation consultations and program repository. Discussion/Significance of Impact: Barriers to equitable ER&R exist at the individual, study, and system levels. Addressing these requires more intentional engagement practices. The ER&R certificate program is an innovative model for integrating equity principles with practical and required knowledge and skills training for participant-facing research professionals.

Objectives/Goals: Many left hemisphere stroke survivors have a reading disorder (alexia), which is experienced as decreasing well-being. Therapies produce inconsistent results, demonstrating a need for treatment response predictors. We identify neural correlates of a computational model of reading, which may provide biomarkers to improve therapeutic outcomes. Methods/Study Population: Left hemisphere stroke survivors (LHSS) (n  =  52) performed an oral reading task and tests of semantic and phonological processing. Artificial neural network (ANN) models, mapping between orthography (visual word form), phonology (auditory word form), and semantics (word meaning), were trained to read single words at an adult reading level. Stroke was simulated by removing percentages (in 10% intervals) of the connections into and out of semantics, phonology, and the combination thereof. The lesioned model producing the smallest average Euclidean distance over word and pseudoword reading accuracy to each LHSS was selected as the matched model. Two voxelwise lesion-symptom mapping (VLSM) analyses identified the neural correlates of the percent of phonological and semantic links removed in the matched models. Results/Anticipated Results: Model reading was correlated with LHSS reading (high-frequency regular words, r(48) = 0.96; high-frequency irregular words, r(48) = 0.94; low-frequency regular words, r(48) = 0.97); low-frequency irregular words, r(48) = 0.85; all p’s Discussion/Significance of Impact: Our results show that ANN models of reading, when closely matched to LHSS reading performance, directly connect cognitive processes to the brain. Using matched models as a precision medicine framework to predict therapy response or to identify targets for neurostimulation provides a valuable route toward improving poststroke language outcomes.

Objectives/Goals: Currently, a lack of screening markers and targeted therapies prevent clinicians from successfully treating PDAC. Precision medicine may allow oncologists to better combat this disease. To personalize care, knowledge of tumor protein posttranslational modifications, extracellular matrix makeup, and infiltrating immune cells is imperative. Methods/Study Population: Matrix-assisted laser desorption ionization mass spectrometry imaging (MALDI-MSI) was employed to characterize the N glycosylation state, the ECM composition, and immune cell populations present within 10 formalin fixed paraffin embedded PDAC patient samples. Molecular dry spray of PNGase F and Collagenase III followed by enzymatic digestion allowed for the release of N glycans and ECM peptides from the tissue. Multiplex immunohistochemistry with photocleavable, mass-tagged probes was also performed on each tissue. This analysis produced a spatial map of N glycans, ECM peptides and immune cells with their distribution and abundance color-coded as a heat map of each tissue. Results/Anticipated Results: This analysis produced a unique N-glycan signature associated with specific tumor regions (necrosis, invasive margin, etc.) and immune cell clusters. Additionally, immune cells within the PDAC tumor microenvironment were found to be organized into immature tertiary lymphoid structures composed primarily of CD20+ B cells. Finally, a distinct distribution of ECM peptides within and surrounding tumor tissue was visualized, and putative identifications have been assigned to these stromal elements. Discussion/Significance of Impact: In the future, insights from this hypothesis-generating study may be leveraged to identify diagnostic and prognostic biomarkers for PDAC to improve early diagnosis and treatment response rates. The N glycan signature, ECM composition, and immune activation state in liquid biopsies including serum and PBMCs will be compared to data from this study.