Publications by authors named "T L Grimes"

Introduction: Type 2 diabetes is a chronic condition associated with impaired glucose tolerance and a high prevalence of comorbidity, polypharmacy and medication safety incidents. Little is known about the patient work associated with using diabetes management technologies by patients and their informal caregivers at home. This study aims to apply a systems engineering approach to better understand this work.

View Article and Find Full Text PDF

Correction for 'Impact of lanthanide ion complexation and temperature on the chemical reactivity of ,,','-tetraoctyl diglycolamide (TODGA) with the dodecane radical cation' by Gregory P. Horne , , 2023, , 16404-16413, https://doi.org/10.

View Article and Find Full Text PDF

The S100 protein family functions as protein-protein interaction adaptors regulated by Ca binding. Formation of various S100 complexes plays a central role in cell functions, from calcium homeostasis to cell signaling, and is implicated in cell growth, migration, and tumorigenesis. We established a suite of biochemical and cellular assays for small molecule screening based on known S100 protein-protein interactions.

View Article and Find Full Text PDF
Article Synopsis
  • The study focused on understanding the causes and severity of pneumonia in children by analyzing their blood RNA to find specific gene expressions linked to different microbial infections.
  • Researchers examined 222 hospitalized children with pneumonia and identified 11 genes that help differentiate between viral and bacterial infections, as well as 16 genes that distinguish between typical and atypical bacterial strains.
  • The findings reveal 19 genes related to pneumonia severity, suggesting that these genetic markers could enhance future diagnostic and prognostic methods for childhood pneumonia.
View Article and Find Full Text PDF

Context: Diabetes is a heterogenic disease and distinct clusters have emerged, but the implications for diverse populations have remained understudied.

Objective: Apply cluster analysis to a diverse diabetes cohort in the US Deep South.

Design: Retrospective hierarchical cluster analysis of electronic health records from 89 875 patients diagnosed with diabetes between January 1, 2010, and December 31, 2019, at the Kirklin Clinic of the University of Alabama at Birmingham, an ambulatory referral center.

View Article and Find Full Text PDF