Browsing by Author "Aronoff, David M."
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Item Antibacterial and Anti-biofilm Activity of the Human Breast Milk Glycoprotein Lactoferrin against Group B Streptococcus(Wiley, 2021) Lu, Jacky; Francis, Jamisha D.; Guevara, Miriam A.; Doster, Ryan S.; Eastman, Alison J.; Rogers, Lisa M.; Noble, Kristin N.; Manning, Shannon D.; Damo, Steven M.; Aronoff, David M.; Townsend, Steven D.; Gaddy, Jennifer A.; Medicine, School of MedicineGroup B Streptococcus (GBS) is an encapsulated Gram-positive human pathogen that causes invasive infections in pregnant hosts and neonates, as well as immunocompromised individuals. Colonization of the human host requires the ability to adhere to mucosal surfaces and circumnavigate the nutritional challenges and antimicrobial defenses associated with the innate immune response. Biofilm formation is a critical process to facilitate GBS survival and establishment of a replicative niche in the vertebrate host. Previous work has shown that the host responds to GBS infection by producing the innate antimicrobial glycoprotein lactoferrin, which has been implicated in repressing bacterial growth and biofilm formation. Additionally, lactoferrin is highly abundant in human breast milk and could serve a protective role against invasive microbial pathogens. This study demonstrates that human breast milk lactoferrin has antimicrobial and anti-biofilm activity against GBS and inhibits its adherence to human gestational membranes. Together, these results indicate that human milk lactoferrin could be used as a prebiotic chemotherapeutic strategy to limit the impact of bacterial adherence and biofilm formation on GBS-associated disease outcomes.Item Association of genetically-predicted placental gene expression with adult blood pressure traits(Wolters Kluwer, 2023) Hellwege, Jacklyn N.; Stallings, Sarah C.; Piekos, Jacqueline A.; Jasper, Elizabeth A.; Aronoff, David M.; Edwards, Todd L.; Velez Edwards, Digna R.; Medicine, School of MedicineObjective: Blood pressure is a complex, polygenic trait, and the need to identify prehypertensive risks and new gene targets for blood pressure control therapies or prevention continues. We hypothesize a developmental origins model of blood pressure traits through the life course where the placenta is a conduit mediating genomic and nongenomic transmission of disease risk. Genetic control of placental gene expression has recently been described through expression quantitative trait loci (eQTL) studies which have identified associations with childhood phenotypes. Methods: We conducted a transcriptome-wide gene expression analysis estimating the predicted gene expression of placental tissue in adult individuals with genome-wide association study (GWAS) blood pressure summary statistics. We constructed predicted expression models of 15 154 genes from reference placenta eQTL data and investigated whether genetically-predicted gene expression in placental tissue is associated with blood pressure traits using published GWAS summary statistics. Functional annotation of significant genes was generated using FUMA. Results: We identified 18, 9, and 21 genes where predicted expression in placenta was significantly associated with systolic blood pressure (SBP), diastolic blood pressure (DBP), and pulse pressure (PP), respectively. There were 14 gene-tissue associations (13 unique genes) significant only in placenta. Conclusions: In this meta-analysis using S-PrediXcan and GWAS summary statistics, the predicted expression in placenta of 48 genes was statistically significantly associated with blood pressure traits. Notable findings included the association of FGFR1 expression with increased SBP and PP. This evidence of gene expression variation in placenta preceding the onset of adult blood pressure phenotypes is an example of extreme preclinical biological changes which may benefit from intervention.Item Association of Individual and Community Factors With Hepatitis C Infections Among Pregnant People and Newborns(American Medical Association, 2021-10-29) Patrick, Stephen W.; Dupont, William D.; McNeer, Elizabeth; McPheeters, Melissa; Cooper, William O.; Aronoff, David M.; Osmundson, Sarah; Stein, Bradley D.; Medicine, School of MedicineImportance: The opioid crisis has increasingly affected pregnant people and infants. Hepatitis C virus (HCV) infections, a known complication of opioid use, grew in parallel with opioid-related complications; however, the literature informing individual and community risks associated with maternal HCV infection is sparse. Objectives: To determine (1) individual and county-level factors associated with HCV among pregnant people and their newborn infants, and (2) how county-level factors influence individual risk among the highest risk individuals. Design setting and participants: This time-series analysis of retrospective, repeated cross-sectional data included pregnant people in all US counties from 2009 to 2019. We constructed mixed-effects logistic regression models to explore the association between HCV infection and individual and county-level covariates. Analyses were conducted between June 2019 and September 2021. Exposures: Individual-level: race and ethnicity, education, marital status, insurance type; county-level: rurality, employment, density of obstetricians. Main outcomes and measures: Hepatitis C virus as indicated on the newborn's birth certificate. Results: Between 2009 and 2019, there were 39 380 122 pregnant people who met inclusion criteria, among whom 138 343 (0.4%) were diagnosed with HCV. People with HCV were more likely to be White (79.9% vs 53.5%), American Indian or Alaska Native (AI/AN) (2.9% vs 0.9%), be without a 4-year degree (93.2% vs 68.6%), and be unmarried (73.7% vs 38.8%). The rate (per 1000 live births) of HCV among pregnant people increased from 1.8 to 5.1. In adjusted analyses, the following factors were associated with higher rates of HCV: individuals identified as White (adjusted odds ratio [aOR], 7.37; 95% CI, 7.20-7.55) and AI/AN (aOR, 7.94; 95% CI, 7.58-8.31) compared with Black individuals, those without a 4-year degree (aOR, 3.19; 95% CI, 3.11-3.28), those with Medicaid vs private insurance (aOR, 3.27; 95% CI, 3.21-3.33), and those who were unmarried (aOR, 2.80; 95% CI, 2.76-2.84); whereas, rural residence, higher rates of employment, and greater density of obstetricians was associated with lower risk of HCV. Among individuals at the highest risk of HCV, higher levels of county employment, accounting for other factors, were associated with less of a rise in HCV infections over time. Conclusions and relevance: In this cross-sectional study, maternal and newborn HCV infections increased substantially between 2009 and 2019, disproportionately among White and AI/AN people without a 4-year degree. County-level factors, including higher levels of employment, were associated with lower individual risks of acquiring the virus.Item Avoidance of Emergency Care in the Southeastern United States During the COVID-19 Pandemic(Oxford University Press, 2022-04-08) Gettler, Erin; Stern, Rebecca; Ni, Bin; Munro, Heather M.; Steinwandel, Mark; Aronoff, David M.; Gupta, Deepak K.; Sanderson, Maureen; Shrubsole, Martha J.; Lipworth, Loren; Medicine, School of MedicineIn a low-income cohort in the Southeastern United States, 5% of participants avoided emergency medical care during the coronavirus disease 2019 pandemic, primarily due to fear and visitor restrictions. Younger age, self-perceived lower health status, lack of a personal doctor, and decreased income were associated with greater likelihood of deferring emergency care.Item Business of Medicine: Developing Leaders in Academic Medicine and Learning Health Systems(Dove Press, 2024-06-24) Sotto-Santiago, Sylk; Neal, Chemen; Caudill, Darren; Gist, Amanda; Eastwick, Susannah; Palmer, Megan M.; Geraci, Mark W.; Aronoff, David M.; Medicine, School of MedicinePurpose: To develop healthcare professionals as clinical leaders in academic medicine and learning health system; and uncover organizational barriers, as well as pathways and practices to facilitate career growth and professional fulfillment. Methods: The Department of Medicine strategic plan efforts prompted the development of a business of medicine program informed by a needs assessment and realignment between academic departments and the healthcare system. The business of medicine leadership program launched in 2017. This descriptive case study presents its 5th year evaluation. Competencies were included from the Physician MBA program and from specific departmental needs and goals. Results: The program hosted a total of 102 clinical faculty. We had a 37% response rate of those retained at Indiana University School of Medicine. Overall, responses conveyed a positive experience in the course. Over 80% of participants felt that they gained skills in professional reflection, professional socialization, goal orientation, critical thinking, and commitment to profession. Financial literacy was overwhelmingly the skill that was reported to be the most valuable. Finance and accounting were mentioned as the most difficult concepts to understand. Familiar concepts included communication, LEAN, and wellness related topics. One hundred percent of participants said they are utilizing the skills gained in this program in their current role and that they would recommend the course to others. Conclusion: Business of medicine courses are more common now with programs describing elements informed by health system operations. However, few programs incorporate aspects of wellness, equity, diversity, inclusion, and health equity. Our program makes the case for multiple ways to develop inclusive leaders through a focused five-month program. It also recognizes that to really impact the learning health system, health professionals need leadership development and leaders suited to work alongside career administrators, all aiming towards a common goal of equitable patient-centered care.Item Comprehensive Characterization of COVID-19 Patients with Repeatedly Positive SARS-CoV-2 Tests Using a Large U.S. Electronic Health Record Database(American Society for Microbiology, 2021) Dong, Xiao; Zhou, Yujia; Shu, Xiao-ou; Bernstam, Elmer V.; Stern, Rebecca; Aronoff, David M.; Xu, Hua; Lipworth, Loren; Medicine, School of MedicineIn the absence of genome sequencing, two positive molecular tests for severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2) separated by negative tests, prolonged time, and symptom resolution remain the best surrogate measure of possible reinfection. Using a large electronic health record database, we characterized clinical and testing data for 23 patients with repeatedly positive SARS-CoV-2 PCR test results ≥60 days apart, separated by ≥2 consecutive negative test results. The prevalence of chronic medical conditions, symptoms, and severe outcomes related to coronavirus disease 19 (COVID-19) illness were ascertained. The median age of patients was 64.5 years, 40% were Black, and 39% were female. A total of 83% smoked within the prior year, 61% were overweight/obese, 83% had immunocompromising conditions, and 96% had ≥2 comorbidities. The median interval between the two positive tests was 77 days. Among the 19 patients with 60 to 89 days between positive tests, 17 (89%) exhibited symptoms or clinical manifestations consistent with COVID-19 at the time of the second positive test and 14 (74%) were hospitalized at the second positive test. Of the four patients with ≥90 days between two positive tests (patient 2 [PT2], PT8, PT14, and PT19), two had mild or no symptoms at the second positive test and one, an immunocompromised patient, had a brief hospitalization at the first diagnosis, followed by intensive care unit (ICU) admission at the second diagnosis 3 months later. Our study demonstrated a high prevalence of compromised immune systems, comorbidities, obesity, and smoking among patients with repeatedly positive SARS-CoV-2 tests. Despite limitations, including a lack of semiquantitative estimates of viral load, these data may help prioritize suspected cases of reinfection for investigation and continued surveillance. IMPORTANCE: The comprehensive characterization of severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2) testing and clinical data for patients with repeatedly positive SARS-CoV-2 tests can help prioritize suspected cases of reinfection for investigation in the absence of genome sequencing data and for continued surveillance of the potential long-term health consequences of SARS-CoV-2 infection.Item Cytotrophoblasts suppress macrophage-mediated inflammation through a contact-dependent mechanism(Wiley, 2021) Eastman, Alison J.; Vrana, Erin N.; Grimaldo, Maria T.; Jones, Amanda D.; Rogers, Lisa M.; Alcendor, Donald J.; Aronoff, David M.; Medicine, School of MedicineProblem: Gestational membrane (GM) infection provokes inflammation and can result in preterm prelabor rupture of membranes (PPROM). The choriodecidual layer of the GM includes decidual stromal cells (DSC), cytotrophoblasts (CTB), and macrophages (Mφ). Our laboratory has previously shown that DSCs suppress Mφ TNF-α production through secreted prostaglandin E2 . We hypothesized that CTBs would also inhibit Mφ cytokine expression through secreted mediators. Method of study: THP.1 Mφ-like cells with an NF-κB reporter construct or human blood monocyte-derived Mφ were co-cultured with the Jeg3 CTB cell line or primary human CTBs and challenged with group B streptococcus (GBS) or Toll-like receptor (TLR) agonists. Conditioned medium generated from CTB cultures was applied to Mφ cultures before infection or treatment. Alternatively, CTBs were co-incubated with, but physically separated from, Mφ and GBS or TLR-stimulated. NF-κB was assessed via alkaline phosphatase assay, and proinflammatory mediators were assessed by qRT-PCR and ELISA. Results: CTBs suppressed GBS- or TLR-stimulated Mφ NF-κB activity, and TNF-α and MMP9 production. Direct physical contact between CTBs and Mφ was required for full immunosuppression. Immunosuppression could be overcome by increasing the ratio of Mφ to CTB. Conclusions: CTBs limit Mφ NF-κB activation and production of TNF-α and MMP9 through an as-yet unknown, cell-to-cell contact-mediated mechanism. This suppression is distinct from the PGE2 -mediated Mφ TNF-α suppression by DSC, suggesting that DSCs and CTBs regulate Mφ inflammation through distinct mechanisms. How Mφ integrates these signals in an intact GM will be paramount to determining causes and prevention of PPROM.Item Data-driven automated classification algorithms for acute health conditions: applying PheNorm to COVID-19 disease(American Medical Informatics Association, 2024) Smith, Joshua C.; Williamson, Brian D.; Cronkite, David J.; Park, Daniel; Whitaker, Jill M.; McLemore, Michael F.; Osmanski, Joshua T.; Winter, Robert; Ramaprasan, Arvind; Kelley, Ann; Shea, Mary; Wittayanukorn, Saranrat; Stojanovic, Danijela; Zhao, Yueqin; Toh, Sengwee; Johnson, Kevin B.; Aronoff, David M.; Carrell, David S.; Medicine, School of MedicineObjectives: Automated phenotyping algorithms can reduce development time and operator dependence compared to manually developed algorithms. One such approach, PheNorm, has performed well for identifying chronic health conditions, but its performance for acute conditions is largely unknown. Herein, we implement and evaluate PheNorm applied to symptomatic COVID-19 disease to investigate its potential feasibility for rapid phenotyping of acute health conditions. Materials and methods: PheNorm is a general-purpose automated approach to creating computable phenotype algorithms based on natural language processing, machine learning, and (low cost) silver-standard training labels. We applied PheNorm to cohorts of potential COVID-19 patients from 2 institutions and used gold-standard manual chart review data to investigate the impact on performance of alternative feature engineering options and implementing externally trained models without local retraining. Results: Models at each institution achieved AUC, sensitivity, and positive predictive value of 0.853, 0.879, 0.851 and 0.804, 0.976, and 0.885, respectively, at quantiles of model-predicted risk that maximize F1. We report performance metrics for all combinations of silver labels, feature engineering options, and models trained internally versus externally. Discussion: Phenotyping algorithms developed using PheNorm performed well at both institutions. Performance varied with different silver-standard labels and feature engineering options. Models developed locally at one site also worked well when implemented externally at the other site. Conclusion: PheNorm models successfully identified an acute health condition, symptomatic COVID-19. The simplicity of the PheNorm approach allows it to be applied at multiple study sites with substantially reduced overhead compared to traditional approaches.Item Disruption of medical care among individuals in the southeastern United States during the COVID-19 pandemic(Sage, 2021-09-24) Ni, Bin; Gettler, Erin; Stern, Rebecca; Munro, Heather M.; Steinwandel, Mark; Aldrich, Melinda C.; Friedman, Debra L.; Sanderson, Maureen; Schlundt, David; Aronoff, David M.; Gupta, Deepak K.; Shrubsole, Martha J.; Lipworth, Loren; Medicine, School of MedicineBackground: Widespread disruptions of medical care to mitigate COVID-19 spread and reduce burden on healthcare systems may have deleterious public health consequences. Design and methods: To examine factors contributing to healthcare interruptions during the pandemic, we conducted a COVID-19 impact survey between 10/7-12/14/2020 among participants of the Southern Community Cohort Study, which primarily enrolled low-income individuals in 12 southeastern states from 2002-2009. COVID survey data were combined with baseline and follow-up data. Results: Among 4,463 respondents, 40% reported having missed/delayed a health appointment during the pandemic; the common reason was provider-initiated cancellation or delay (63%). In a multivariable model, female sex was the strongest independent predictor of interrupted care, with odds ratio (OR) 1.63 (95% confidence interval [CI] 1.40-1.89). Those with higher education (OR 1.27; 95% CI 1.05-1.54 for college graduate vs ≤high school) and household income (OR 1.47; 95% CI 1.16-1.86 for >$50,000 vs <$15,000) were at significantly increased odds of missing healthcare. Having greater perceived risk for acquiring (OR 1.42; 95% CI 1.17-1.72) or dying from COVID-19 (OR 1.25; 95% CI 1.04-1.51) also significantly increased odds of missed/delayed healthcare. Age was inversely associated with missed healthcare among men (OR for 5-year increase in age 0.88; 95% CI 0.80-0.96) but not women (OR 0.97; 95% CI 0.91-1.04; p-interaction=0.04). Neither race/ethnicity nor comorbidities were associated with interrupted healthcare. Conclusions: Disruptions to healthcare disproportionately affected women and were primarily driven by health system-initiated deferrals and individual perceptions of COVID-19 risk, rather than medical co-morbidities or other traditional barriers to healthcare access.Item Distinct Group B Streptococcus Sequence and Capsule Types Differentially Impact Macrophage Stress and Inflammatory Signaling Responses(American Society for Microbiology, 2021-04-16) Flaherty, Rebecca A.; Aronoff, David M.; Gaddy, Jennifer A.; Petroff, Margaret G.; Manning, Shannon D.; Medicine, School of MedicineGroup B Streptococcus (GBS) is an opportunistic bacterial pathogen that can contribute to the induction of preterm birth in colonized pregnant women and to severe neonatal disease. Many questions regarding the mechanisms that drive GBS-associated pathogenesis remain unanswered, and it is not yet clear why virulence has been observed to vary so extensively across GBS strains. Previously, we demonstrated that GBS strains of different sequence types (STs) and capsule (CPS) types induce different cytokine profiles in infected THP-1 macrophage-like cells. Here, we expanded on these studies by utilizing the same set of genetically diverse GBS isolates to assess ST and CPS-specific differences in upstream cell death and inflammatory signaling pathways. Our results demonstrate that particularly virulent STs and CPS types, such as the ST-17 and CPS III groups, induce enhanced Jun-N-terminal protein kinase (JNK) and NF-κB pathway activation following GBS infection of macrophages compared with other ST or CPS groups. Additionally, we found that ST-17, CPS III, and CPS V GBS strains induce the greatest levels of macrophage cell death during infection and exhibit a more pronounced ability to be internalized and to survive in macrophages following phagocytosis. These data provide further support for the hypothesis that variable host innate immune responses to GBS, which significantly impact pathogenesis, stem in part from genotypic and phenotypic differences among GBS isolates. These and similar studies may inform the development of improved diagnostic, preventive, or therapeutic strategies targeting invasive GBS infections.