Objective: To assess the association of red cell distribution width with glycaemic control and the presence of complications in diabetes patients.
Methods: The cross-sectional study was done at the Pakistan Institute of Medical Sciences, Islamabad, Pakistan, from September to November 2017, and comprised patients with type 2 diabetes. Clinical and demographical characteristics were documented and they were subjected to complete blood count, red cell distribution width, glycated haemoglobin, fasting and random blood glucose, lipid profile, urea and creatinine. The presence of complications were assessed during clinical examination. SPSS 20 was used for data analysis..
Results: There were 349 patients with a mean age of 53.14±11.77 years. The mean duration of diabetes was 8.36±6.64 years and mean glycated haemoglobin was 9.05±1.93. Red cell distribution width was significantly associated with the duration of diabetes, hypertension, macrovascular and microvascular complications and extent of glycaemic control (p<0.0001 each). A statistically significant linear relationship was observed between red cell distribution width and the number of macrovascular and microvascular complications (p<0.0001) and glycated haemoglobin (p<0.0001). Mean red cell distribution width was 13.94±1.66, 14.72±1.38, and 15.76±1.55 for optimal control, borderline control and poor control respectively. This linear incremental pattern was statistic ally significant (p<0.0001).
Conclusions: The linear association of red cell distribution width with glycated haemoglobin may enable its use as a measure of the extent of hyperglycaemia.
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Biomarkers
January 2025
Pediatric Intensive Care Unit, Hospital Sant Joan de Déu-University of Barcelona, Barcelona, Spain.
PurposeChimeric antigen receptor (CAR) T-cell CD19 therapy has changed the treatment paradigm for patients with relapsed/refractory B-cell acute lymphoblastic leukemia. It is frequently associated with potentially severe toxicities: cytokine release syndrome (CRS) and immune effector cell-associated neurotoxicity syndrome (ICANS), and admission to PICU is often required. Some biomarkers seem to correlate with CRS severity.
View Article and Find Full Text PDFJ Clin Invest
January 2025
Centro Nacional de Investigaciones Cardiovasculares (CNIC), Madrid, Spain.
Cardiovascular disease (CVD) remains the leading cause of morbidity and mortality worldwide, with inflammation playing a pivotal role in its pathogenesis. T lymphocytes are crucial components of the adaptive immune system that have emerged as key mediators in both cardiac health and the development and progression of CVD. This Review explores the diverse roles of T cell subsets, including Th1, Th17, γδ T cells, and Tregs, in myocardial inflammatory processes such as autoimmune myocarditis and myocardial infarction.
View Article and Find Full Text PDFElife
January 2025
Center for Medical Genetics Ghent, Department of Biomolecular Medicine, Ghent University, Ghent, Belgium.
Heritable fragile bone disorders (FBDs), ranging from multifactorial to rare monogenic conditions, are characterized by an elevated fracture risk. Validating causative genes and understanding their mechanisms remain challenging. We assessed a semi-high throughput zebrafish screening platform for rapid in vivo functional testing of candidate FBD genes.
View Article and Find Full Text PDFChem Asian J
January 2025
IISc: Indian Institute of Science, Inorganic and Physical Chemistry, Indian Institute of Science Bangalore, 560012, Bangalore, INDIA.
In this study, we report the design and development of a stable fluorescent probe that is selectively localized in the cytosol of Hela cells. We designed two probes, 1 and 2, with D-π-A (carbazole (Cbz)-vinyl-naphthalimide (NPI)) and A-π-D-π-A (NPI-vinyl-Cbz-vinyl-NPI) architecture, respectively. Probes 1 and 2 exhibit broad photoluminescence (PL) spectra ranging from green (550 nm) to far-red (800 nm) in solutions and aggregated states.
View Article and Find Full Text PDFAdv Appl Bioinform Chem
January 2025
Department of Information Technology, Mutah University, Al-Karak, Jordan.
Purpose: The incidence of cancer, which is a serious public health concern, is increasing. A predictive analysis driven by machine learning was integrated with haematology parameters to create a method for the simultaneous diagnosis of several malignancies at different stages.
Patients And Methods: We analysed a newly collected dataset from various hospitals in Jordan comprising 19,537 laboratory reports (6,280 cancer and 13,257 noncancer cases).
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