Complement 3 Receptor Expression in Individuals with Type 2 Diabetes.

Recent Pat Antiinfect Drug Discov

Microbiology/Immunology, Department of Basic Medical Sciences, College of Osteopathic Medicine of the Pacific, Western University of Health Sciences, 309 E Second Street, Pomona, CA 91766-1854. United States.

Published: March 2017

Background: According to the World Health Organization, as of 2014 9% of the world's adult population is affected by diabetes. Uncontrolled diabetes is a pro-inflammatory process that increases generation of reactive oxygen species (ROS).

Methods: The production of ROS leads to a chronic increase in oxidative stress which results in an increased susceptibility to infections. Individuals with type 2 diabetes mellitus (T2DM) are highly susceptible to Mycobacterium tuberculosis (M. tb) infection. Previous research has demonstrated that glutathione (GSH) plays an important role in the control of M. tb infection. Recent studies have demonstrated that phagocytosis of M.tb is diminished in patients with T2DM. Phagocytosis in macrophages is thought to be mediated in part by complement protein 3b (C3b)-complement protein receptor 3b (C3R) interactions. Since C3b production is not diminished in patients with T2DM we propose that C3R production is reduced and is the cause for impaired macrophage phagocytosis as well as IL-12 and IFN-γ signaling.

Conclusion: This study utilizes a quantitative PCR (qPCR), demonstrating decreased transcription of C3R mRNA in patients with T2DM as compared to non-diabetics.

Download full-text PDF

Source
http://dx.doi.org/10.2174/1574891X11666160608121617DOI Listing

Publication Analysis

Top Keywords

patients t2dm
12
individuals type
8
type diabetes
8
diminished patients
8
complement receptor
4
receptor expression
4
expression individuals
4
diabetes
4
diabetes background
4
background health
4

Similar Publications

Objective: To explore the effect of seeds powder { 500 mg} capsule in diabetes Type-2 (T2DM) patients in Karachi.

Methods: A randomized selection of 40 T2DM patients from Sindh Government Hospital New Karachi with their consents was done for a non-blinded controlled trial from October to December 2019 and divided into P (Positive Control, metformin 500 mg) & T (Test, + was also included, using the same dosage of CapCASP on twenty healthy volunteers. The data were analyzed using an online graph pad student's t-test and a one-way ANOVA (SPSS version 24) metformin 500mg each).

View Article and Find Full Text PDF

A Machine Learning Model for Predicting Prognosis in HCC Patients With Diabetes After TACE.

J Hepatocell Carcinoma

January 2025

Department of Radiology, Union Hospital, Tongji Medical College, Huazhong University of Science and Technology, Wuhan, Hubei Province, 430022, People's Republic of China.

Purpose: Type II diabetes mellitus (T2DM) has been found to increase the mortality of patients with hepatocellular carcinoma (HCC). Therefore, this study aimed to establish and validate a machine learning-based explainable prediction model of prognosis in patients with HCC and T2DM undergoing transarterial chemoembolization (TACE).

Patients And Methods: The prediction model was developed using data from the derivation cohort comprising patients from three medical centers, followed by external validation utilizing patient data extracted from another center.

View Article and Find Full Text PDF

Background: Aspirin treatment is recommended as a secondary prevention strategy and could be a potential primary prevention strategy for cardiovascular disease (CVD) in patients with type 2 diabetes mellitus (T2DM). However, aspirin resistance is notably common among diabetic patients, compromising the efficacy of aspirin treatment. Hence, our study sought to assess the clinical predictors of aspirin resistance (AR) in T2DM patients.

View Article and Find Full Text PDF

Background: Diabetes has become a global pandemic, posing a sustained threat to human health, primarily due to its associated complications. Left ventricular diastolic dysfunction (LVDD) is a prevalent cardiac complication among patients with diabetes. Since most patients are asymptomatic and lack relevant biomarkers, LVDD has not attracted significant attention from clinicians.

View Article and Find Full Text PDF

Background: Diabetic bladder dysfunction (DBD) is a common urinary complication in diabetic patients, significantly affecting their overall well-being and quality of life, and placing a considerable burden on healthcare resources. Early prevention is crucial; however, the absence of a simple and effective tool to predict DBD onset remains a significant challenge. This study aims to identify risk factors for DBD in patients with type 2 diabetes mellitus (T2DM) and to develop a predictive nomogram for clinical application.

View Article and Find Full Text PDF

Want AI Summaries of new PubMed Abstracts delivered to your In-box?

Enter search terms and have AI summaries delivered each week - change queries or unsubscribe any time!