Summary of Hope Community NPCR Research Assistantship Work

Hope Community applied for a Research Assistant to create GIS maps for their organization for two main purposes: 1) understanding the context in which they work by mapping their neighborhood, and 2) identifying sites for possible future affordable housing development.Conducted on behalf of Hope Community. Supported by Neighborhood Planning for Community Revitalization (NPCR), a program of the Center for Urban and Regional Affairs (CURA), University of Minnesota

A Worksite Occupational Health Clinic-Based Diabetes Mellitus Management Program

This study is an analysis of a workplace diabetes management program offered to employees of a Fortune 100 financial services corporation located in the United States. The 12-month worksite-based educational program was for employees who were at risk for diabetes, had prediabetes, or were diagnosed with diabetes. This employed population, with health benefits, generally had acceptable control of their diabetes at the start of the program. They statistically improved most self-efficacy measures, but improvement in biometric tests at 6 and 12 months were not significantly different from baseline. Mean hemoglobin A1c at baseline, 6 months, and 12 months was 7.2%, 7.2%, and 7.3%, respectively. At 12 months, about 40% of preprogram survey participants completed all screenings and the post-program questionnaire. Disease management programs at the workplace can be an important component in helping employees enhance their knowledge of diabetes and maintain and improve their health. (Population Health Management 2015;18:429?436)Peer Reviewedhttps://deepblue.lib.umich.edu/bitstream/2027.42/140190/1/pop.2014.0141.pd

Convocation

List of performers and performances

Distinct disease mutations in DNMT3A result in a spectrum of behavioral, epigenetic, and transcriptional deficits

Phenotypic heterogeneity in monogenic neurodevelopmental disorders can arise from differential severity of variants underlying disease, but how distinct alleles drive variable disease presentation is not well understood. Here, we investigate missense mutations in DNA methyltransferase 3A (DNMT3A), a DNA methyltransferase associated with overgrowth, intellectual disability, and autism, to uncover molecular correlates of phenotypic heterogeneity. We generate a Dnmt3

COVID-19 Severity Among American Indians and Alaska Natives in 16 States - January 1, 2020, to March 31, 2021

Objective: To compare rates and risk factors of severe COVID-19-related outcomes between American Indian/Alaska Native (AI/AN) and non-Hispanic White people (NHW). Methods: Aggregate Social Vulnerability Index (SVI), COVID-19-related risk factor, hospitalization, and mortality data were obtained from 16 states for January 1, 2020-March 31, 2021. Generalized estimating equation Poisson regression models calculated age-adjusted cumulative incidences, incidence ratios (IR), and 95% confidence intervals (CI) comparing AI/AN and NHW persons by age, sex, and county-level SVI status. Results: Race data were missing for 42.7% of COVID-19 cases, 24.7% of hospitalizations, and 10.1% of deaths. Risk of AI/AN COVID-19 mortality was 2.6 times that of NHW persons (IR 2.6, 95% CI: 1.7 – 3.4); risk of COVID-19-related hospitalization among AI/AN persons was 3.5 times that of NHW (IR: 3.5, 95% CI: 2.7 – 4.3). Severe COVID-19 outcomes were significantly higher for AI/AN persons compared to NHW persons across all age and sex groups. There was no statistically significant difference in COVID-19 outcomes by SVI status. Associations between severe COVID-19 outcomes and co-morbid risk factors were inconsistent. Conclusions: Results describe increased risk of severe COVID-19 outcomes for AI/AN persons compared to NHW persons despite quality issues in public health surveillance data. Data linkages and improved ascertainment reduce race/ethnicity misclassification and improve data quality. COVID-19-related health burdens among AI/AN persons warrant improved access for AI/AN communities to medical countermeasures and healthcare resources

A single center case series of immune checkpoint inhibitor-induced type 1 diabetes mellitus, patterns of disease onset and long-term clinical outcome

BackgroundType 1 diabetes mellitus (T1DM) is a rare, but serious immune-related adverse event (irAE) of immune checkpoint inhibitors (ICIs). Our goal was to characterize treatment outcomes associated with ICI-induced T1DM through analysis of clinical, immunological and proteomic data.MethodsThis was a single-center case series of patients with solid tumors who received ICIs and subsequently had a new diagnosis of T1DM. ICD codes and C-peptide levels were used to identify patients for chart review to confirm ICI-induced T1DM. Baseline blood specimens were studied for proteomic and immunophenotypic changes.ResultsBetween 2011 and 2023, 18 of 3744 patients treated at Huntsman Cancer Institute with ICIs were confirmed to have ICI-induced T1DM (0.48%). Eleven of the 18 patients received anti-PD1 monotherapy, 4 received anti-PD1 plus chemotherapy or targeted therapy, and 3 received ipilimumab plus nivolumab. The mean time to onset was 218 days (range 22-418 days). Patients had sudden elevated serum glucose within 2-3 weeks prior to diagnosis. Sixteen (89%) presented with diabetic ketoacidosis. Three of 12 patients had positive T1DM-associated autoantibodies. All patients with T1DM became insulin-dependent through follow-up. At median follow-up of 21.9 months (range 8.4-82.4), no patients in the melanoma group had progressed or died from disease. In the melanoma group, best responses were 2 complete response and 2 partial response while on active treatment; none in the adjuvant group had disease recurrence. Proteomic analysis of baseline blood suggested low inflammatory (IL-6, OSMR) markers and high metabolic (GLO1, DXCR) markers in ICI-induced T1DM cohort.ConclusionsOur case series demonstrates rapid onset and irreversibility of ICI-induced T1DM. Melanoma patients with ICI-induced T1DM display excellent clinical response and survival. Limited proteomic data also suggested a unique proteomic profile. Our study helps clinicians to understand the unique clinical presentation and long-term outcomes of this rare irAE for best clinical management

Plant trait and vegetation data along a 1314 m elevation gradient with fire history in Puna grasslands, Perú

Alpine grassland vegetation supports globally important biodiversity and ecosystems that are increasingly threatened by climate warming and other environmental changes. Trait-based approaches can support understanding of vegetation responses to global change drivers and consequences for ecosystem functioning. In six sites along a 1314 m elevational gradient in Puna grasslands in the Peruvian Andes, we collected datasets on vascular plant composition, plant functional traits, biomass, ecosystem fluxes, and climate data over three years. The data were collected in the wet and dry season and from plots with different fire histories. We selected traits associated with plant resource use, growth, and life history strategies (leaf area, leaf dry/wet mass, leaf thickness, specific leaf area, leaf dry matter content, leaf C, N, P content, C and N isotopes). The trait dataset contains 3,665 plant records from 145 taxa, 54,036 trait measurements (increasing the trait data coverage of the regional flora by 420%) covering 14 traits and 121 plant taxa (ca. 40% of which have no previous publicly available trait data) across 33 families

Draft Genome of the Common Snapping Turtle, Chelydra serpentina, a Model for Phenotypic Plasticity in Reptiles

Turtles are iconic reptiles that inhabit a range of ecosystems from oceans to deserts and climates from the tropics to northern temperate regions. Yet, we have little understanding of the genetic adaptations that allow turtles to survive and reproduce in such diverse environments. Common snapping turtles, Chelydra serpentina, are an ideal model species for studying adaptation to climate because they are widely distributed from tropical to northern temperate zones in North America. They are also easy to maintain and breed in captivity and produce large clutch sizes, which makes them amenable to quantitative genetic and molecular genetic studies of traits like temperature-dependent sex determination. We therefore established a captive breeding colony and sequenced DNA from one female using both short and long reads. After trimming and filtering, we had 209.51Gb of Illumina reads, 25.72Gb of PacBio reads, and 21.72 Gb of Nanopore reads. The assembled genome was 2.258 Gb in size and had 13,224 scaffolds with an N50 of 5.59Mb. The longest scaffold was 27.24Mb. BUSCO analysis revealed 97.4% of core vertebrate genes in the genome. We identified 3.27 million SNPs in the reference turtle, which indicates a relatively high level of individual heterozygosity. We assembled the transcriptome using RNA-Seq data and used gene prediction software to produce 22,812 models of protein coding genes. The quality and contiguity of the snapping turtle genome is similar to or better than most published reptile genomes. The genome and genetic variants identified here provide a foundation for future studies of adaptation to climate

CSB Class of 2016 Commencement Celebration

May 7, 2016 The One-Hundred and First Year HCC Fieldhouse College of Saint Benedict Alyssa Mastromonaco was the guest speaker and Anna Cron was the student speaker

Medication self-management behaviors of adolescents and young adults with cancer

Purpose: Adolescents and young adults (AYAs) with cancer are challenged to manage complex medication regimens during treatment. The aims of the study are to (1) describe the medication self-management behaviors of AYAs with cancer and (2) examine the barriers and facilitators to AYAs\u27 optimal use of medications, including their self-efficacy to manage medications. Methods: This cross-sectional study enrolled 30 AYAs (18-29 years) with cancer who were receiving chemotherapy. Participants electronically completed a demographic form, a health literacy screen, and the PROMIS Self-efficacy for Medication Management instrument. They completed a semi-structured interview to answer questions about their medication self-management behaviors. Results: Participants (53% female, mean age = 21.9 y) had a variety of AYA cancer diagnoses. Over half (63%) had limited health literacy. Most AYAs had accurate knowledge about their medications and average self-efficacy for managing medications. These AYAs were managing an average of 6 scheduled and 3 unscheduled medications. Oral chemotherapy was prescribed for 13 AYAs; other medications were for prevention of complications and symptom management. Many AYAs relied on a parent for obtaining and paying for medications, used multiple reminders to take medications, and used a variety of strategies to store and organize medications. Conclusion: AYAs with cancer were knowledgeable and confident about managing complex medication regimens but needed support and reminders. Providers should review medication-taking strategies with AYAs and ensure a support person is available