Denisse Urenda

Graduate Trainee, University of Texas at El Paso

1 active project

SARS-CoV-2 infection Project

The proposed study seeks to investigate the associations between SARS-CoV-2 and the development of diabetes. The primary hypothesis is SARS-CoV-2 will be a risk factor for the onset of diabetes. The secondary hypothesis is that SARS-CoV-2 is a predisposing factor…

Scientific Questions Being Studied

The proposed study seeks to investigate the associations between SARS-CoV-2 and the development of diabetes. The primary hypothesis is SARS-CoV-2 will be a risk factor for the onset of diabetes. The secondary hypothesis is that SARS-CoV-2 is a predisposing factor for other chronic diseases. Additionally, the proposed study will explore if SARS-CoV-2 is associated with other hormone/endocrine conditions (e.g., hyperthyroidism), mental health or substance use of conditions (e.g., alcohol use disorder), and cancer (e.g., kidney cancer, lung cancer, pancreatic cancer). Findings have clinical implications for prevention (e.g., vaccines), screenings, and treatments, post SARS-CoV-2 infection. Moreover, the impact of SARS-CoV-2 will disproportionately impact underserved populations whom are at an increased risk for chronic conditions (e.g., diabetes, cardiovascular, pulmonary).

Project Purpose(s)

  • Disease Focused Research (SARS-CoV-2)

Scientific Approaches

We will explore associations between SARS-CoV-2 infections and the incidence of diabetes with a focus on underserved patient populations. This study will also explore other associations affecting the incidence of SARS-CoV-2 infections and co-morbidities. The analysis will employ exploratory methods of data analysis such as association plots, heatmaps, and descriptive statistics. Following the exploratory analysis, generalized linear models will explore the associations further while controlling for patient characteristics and other factors. Multiplicity corrections will control the incidence of type I errors and ensure replicability of research results. The data will include information on past SARS-CoV-2 infections, type I and II diabetes, demographic characteristics, and other hormone/endocrine conditions, mental health or substance use conditions, and cancer. Data will be stratified to assess the change in risk of these conditions for underserved patient populations.

Anticipated Findings

The primary hypothesis is SARS-CoV-2 will be a risk factor for the onset of diabetes. The secondary hypothesis is that SARS-CoV-2 is a predisposing factor for other chronic diseases. Additionally, the proposed study will explore if SARS-CoV-2 is associated with other hormone/endocrine conditions (e.g., hyperthyroidism), mental health or substance use of conditions (e.g., alcohol use disorder), and cancer (e.g., kidney cancer, lung cancer, pancreatic cancer). Findings have clinical implications for prevention (e.g., vaccines), screenings, and treatments, post SARS-CoV-2 infection.

Demographic Categories of Interest

  • Race / Ethnicity
  • Income Level

Research Team

Owner:

  • Leslie Flaco - Graduate Trainee, University of Texas at El Paso
  • Denisse Urenda - Graduate Trainee, University of Texas at El Paso
  • Amy Wagler - Mid-career Tenured Researcher, University of Texas at El Paso

Collaborators:

  • ATIQUR CHOWDHURY - Graduate Trainee, University of Texas at El Paso
  • Eric Diaz - Undergraduate Student, University of Texas at El Paso
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