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Biomaterial injection is a potential new therapy for augmenting ventricular mechanics after myocardial infarction (MI). Recent in vivo studies have demonstrated that hydrogel injections can mitigate the adverse remodeling due to MI. More importantly, the material properties of these injections influence the efficacy of the therapy. The goal of the current study is to explore the interrelated effects of injection stiffness and injection volume on diastolic ventricular wall stress and thickness. To achieve this, finite element models were constructed with different hydrogel injection volumes (150µL and 300 µL), where the modulus was assessed over a range of 0.1kPa to 100kPa (based on experimental measurements). The results indicate that a larger injection volume and higher stiffness reduce diastolic myofiber stress the most, by maintaining the wall thickness during loading. Interestingly, the efficacy begins to taper after the hydrogel injection stiffness reaches a value of 50kPa. This computational approach could be used in the future to evaluate the optimal properties of the hydrogel.

Injectable hydrogels are a potential therapy for mitigating adverse left ventricular (LV) remodeling after myocardial infarction (MI). Previous studies using magnetic resonance imaging (MRI) have shown that hydrogel treatment improves systolic strain in the borderzone (BZ) region surrounding the infarct. However, the corresponding contractile properties of the BZ myocardium are still unknown. The goal of the current study was to quantify the in vivo contractile properties of the BZ myocardium post-MI in an ovine model treated with an injectable hydrogel. Contractile properties were determined 8 weeks following posterolateral MI by minimizing the difference between in vivo strains and volume calculated from MRI and finite element model predicted strains and volume. This was accomplished by using a combination of MRI, catheterization, finite element modeling, and numerical optimization. Results show contractility in the BZ of animals treated with hydrogel injection was significantly higher than untreated controls. End-systolic (ES) fiber stress was also greatly reduced in the BZ of treated animals. The passive stiffness of the treated infarct region was found to be greater than the untreated control. Additionally, the wall thickness in the infarct and BZ regions was found to be significantly higher in the treated animals. Treatment with hydrogel injection significantly improved BZ function and reduced LV remodeling, via altered MI properties. These changes are linked to a reduction in the ES fiber stress in the BZ myocardium surrounding the infarct. The current results imply that injectable hydrogels could be a viable therapy for maintaining LV function post-MI.

While the COVID-19 pandemic has caused major educational disruptions, it has also catalyzed innovation in service-learning as a real-time response to pandemic-related problems. The limited number of qualified providers was primed to restrict SARS-CoV-2 vaccination efforts. Thus, New York State temporarily allowed healthcare professional trainees to vaccinate, enabling medical students to support an overwhelmed healthcare system and contribute to the public health crisis. Here, we describe a service-learning vaccination program directed towards underserved communities. A faculty-led curriculum prepared medical students to communicate with patients about COVID-19 vaccines and to administer intramuscular injections. Qualified students were deployed to public vaccination clinics located in under-served neighborhoods in collaboration with an established community partner. Throughout the program, 128 students worked at 103 local events, helping to administer 26,889 vaccine doses. Analysis of a retrospective survey administered to participants revealed the program taught fundamental clinical skills and was a transformative service-learning experience. As new virus variants emerge and nations battle recurrent waves of infection, the need for effective vaccination plans continues to grow. The program described here offers a novel framework that academic medical centers could adapt to increase vaccine access in their local community and provide students with a uniquely meaningful educational experience.

ABSTRACT IMPACT: Leveraging partnerships with faith-based institutions and community centers in at-risk NYC neighborhoods, the H2H Program breaks down barriers to engaging with the medical establishment and addresses the increasing burden of diabetes and CVD risk factors in the most vulnerable individuals. OBJECTIVES/GOALS: Screening for modifiable risk factors is critical for cardiovascular disease (CVD) risk reduction. Low-income, urban communities often encounter barriers to care. Community-academic outreach partnerships are vital in addressing such disparities and promoting health equity and culturally targeted interventions among high-risk populations. METHODS/STUDY POPULATION: In 2010, the Weill Cornell Clinical and Translational Science Center along with Weill Cornell Medicine (WCM) and Hunter-Bellevue School of Nursing (HBSON) launched Heart to Heart (H2H), a community outreach program partnering with faith-based centers to offer free health screenings and education to some of New York City’s (NYC) most vulnerable communities. Participants work with undergraduate, nursing, medical and dietician students to complete a demographics and health questionnaire followed by vital signs and point-of-care blood testing. Participants then receive personalized health education, nutrition and lifestyle counseling by student volunteers, precepted by WCM Primary Care and HBSON faculty. Participants are provided information on local free or low-cost clinics as necessary for follow-up. RESULTS/ANTICIPATED RESULTS: To date H2H held 125 events and 5,952 screenings. Mean age of the participants was 54.3 (SD 39.6) and 3,682 (63.1%) were female. 74.2% identified as non-white. 42.1% were uninsured. 32.3% reported annual income of less than $20k. 18.3% of participants reported not having seen a doctor in the past year. 40.7% reported preexisting hypertension, of which 74.5% were on medication and 78% with sub-optimal control. 15.7% had been previously diagnosed with diabetes, of which 75.8% were on medication and 41.4% with sub-optimal control (HbA1c <7). 37.7% had been diagnosed with dyslipidemia previously, of which 47.4% were on medication and 62.1% with sub-optimal control. Screenings revealed, 56.9% had undiagnosed hypertensive blood pressures, 4.7% had an elevated HbA1c >6.5, and 49.2% had dyslipidemia. DISCUSSION/SIGNIFICANCE OF FINDINGS: H2H screening revealed significant cardiovascular health disparities, many of which were poorly controlled or newly discovered. Cross-institutional academic partnerships can empower communities with knowledge of their health status and help facilitate access to medical care to further address health risk factors.

Somatic mutations in cancer genes have been detected in clonal expansions across healthy human tissue, including in clonal hematopoiesis. However, because mutated and wild-type cells are admixed, we have limited ability to link genotypes with phenotypes. To overcome this limitation, we leveraged multi-modality single-cell sequencing, capturing genotype, transcriptomes and methylomes in progenitors from individuals with DNMT3A R882 mutated clonal hematopoiesis. DNMT3A mutations result in myeloid over lymphoid bias, and an expansion of immature myeloid progenitors primed toward megakaryocytic–erythroid fate, with dysregulated expression of lineage and leukemia stem cell markers. Mutated DNMT3A leads to preferential hypomethylation of polycomb repressive complex 2 targets and a specific CpG flanking motif. Notably, the hypomethylation motif is enriched in binding motifs of key hematopoietic transcription factors, serving as a potential mechanistic link between DNMT3A mutations and aberrant transcriptional phenotypes. Thus, single-cell multi-omics paves the road to defining the downstream consequences of mutations that drive clonal mosaicism. Multi-modality single-cell sequencing determines genotype, transcriptome and methylome information in cells from individuals with DNMT3A R882 mutated clonal hematopoiesis, allowing for the comparison of mutant and wild-type cells from the same individuals.

Keywords: Predictive enrichment, Prognostic enrichment, Heterogeneity of treatment effect, Multiple organ dysfunction scores, SOFA

Somatic mutations in cancer genes have been ubiquitously detected in clonal expansions across healthy human tissue, including in clonal hematopoiesis. However, mutated and wildtype cells are morphologically and phenotypically similar, limiting the ability to link genotypes with cellular phenotypes. To overcome this limitation, we leveraged multi-modality single-cell sequencing, capturing the mutation with transcriptomes and methylomes in stem and progenitors from individuals with DNMT3A R882 mutated clonal hematopoiesis. DNMT3A mutations resulted in myeloid over lymphoid bias, and in expansion of immature myeloid progenitors primed toward megakaryocytic-erythroid fate. We observed dysregulated expression of lineage and leukemia stem cell markers. DNMT3A R882 led to preferential hypomethylation of polycomb repressive complex 2 targets and a specific sequence motif. Notably, the hypomethylation motif is enriched in binding motifs of key hematopoietic transcription factors, serving as a potential mechanistic link between DNMT3A R882 mutations and aberrant transcriptional phenotypes. Thus, single-cell multi-omics pave the road to defining the downstream consequences of mutations that drive human clonal mosaicism.

Hematopoietic stem and progenitor cells (HSPCs) are intended to deliver life-long, consistent output. However, with age, we observe changes in blood counts and clonal disorders. Better understanding of inter-individual variation in HSPC behavior is needed to understand the transition from health to age-related hematological disorders. Here we study 360K single circulating HSPCs (CD34+) from 99 healthy individuals together with clinical information and clonal hematopoiesis (CH) profiles to characterize population variability in hematopoiesis. Individuals with CH were linked with reduced frequencies of lymphocyte progenitors and higher RDW. We describe a Lamin-A transcriptional signature across the HSPC spectrum and show it is reduced in CH individuals. We define and estimate HSPC composition bias and an age-related increased S-phase gene signature and show how they form a heterogeneous and multifactorial aging trend in the blood. The new comprehensive model of normal HSPC variation will allow the study of stem cell-related disorders. As a proof of concept, we present methodologies for analyzing myeloid malignancies in comparison to our reference atlas. Together, our data and methodologies shed light on age-related changes in blood counts, CH and can be used to study stem cell-related disorders in the future.Competing Interest StatementZS, DL, EM and GY are all employees and shareholders of Ultima Genomics. LS is a shareholder of Sequentify. The remaining authors declare no competing interests

Inflammation perturbs evolutionary dynamics of hematopoietic stem cell (HSC) clones in clonal hematopoiesis and myeloid neoplasms. We studied HSCs, progenitors and immune cells from patients with myeloproliferative neoplasm (MPN) at baseline and following interferon-⍺ (IFN⍺) treatment, the only MPN therapy to deplete clonal stem cells. We focused on essential thrombocythemia, an informative model of early-phase neoplastic hematopoiesis. We integrated somatic genotyping, transcriptomes, immunophenotyping, and chromatin accessibility across single cells. IFN⍺ simultaneously activated HSCs into two polarized states, a lymphoid progenitor expansion associated with an anti-inflammatory state and an IFN⍺-specific inflammatory granulocytic progenitor (IGP) state derived directly from HSCs. The augmented lymphoid differentiation balanced the typical MPN-induced myeloid bias, associated with normalized blood counts. Clonal fitness upon IFN⍺ exposure was due to resistance of clonal stem cells to differentiate into IGPs. These results support a paradigm wherein inflammation perturbs clonal dynamics by HSC induction into the precipitous IGP differentiation program. Inflammation accelerates clonal evolution by driving stem cell differentiation into an alternate interferon-⍺-induced progenitor state.