Background: High-density lipoprotein cholesterol (HDL-C) and its subfractions are modifiable with exercise training and these responses are heritable. The interleukin-6 (IL6)-174G/C polymorphism may be associated with HDL-C levels. We hypothesized that the IL6-174G/C polymorphism would be associated with plasma HDL-C response to exercise training.

Methods And Results: Sixty-five 50- to 75-year-olds on a standardized diet were studied before and after 24 weeks of aerobic exercise training. Significant differences existed among genotype groups for change with exercise training in HDL-C, HDL3-C, integrated HDL4,5NMR-C, and HDLsize. The CC genotype group increased HDL-C more than the GG (7.0 +/- 1.3 v. 1.0 +/- 1.1 mg/dL, p = 0.001) and GC groups (3.3 +/- 0.9 mg/dL, p = 0.02); for HDL3-C, the CC group increased more than the GG (6.1 +/- 1.0 v. 0.9 +/- 0.9, mg/dL p < 0.001) and GC groups (2.5 +/- 0.7 mg/dL, p = 0.006). Integrated HDL4,5NMR-C increased more in the CC than GG group (6.5 +/- 1.6 mg/dL v. 1.0 +/- 1.3 mg/dL, p = 0.01), as did HDLsize compared to the GG (CC: 0.3 +/- 0.1 v. GG: 0.1 +/- 0.1 nm, p = 0.02) and GC (0.0 +/- 0.0 nm, p = 0.007) groups.

Conclusions: IL6 genotype is associated with HDL-C response to exercise training.

Download full-text PDF

Source
http://dx.doi.org/10.1016/j.bbalip.2005.03.003DOI Listing

Publication Analysis

Top Keywords

+/- mg/dl
24
exercise training
20
+/- +/-
12
+/-
11
genotype associated
8
high-density lipoprotein
8
lipoprotein cholesterol
8
il6-174g/c polymorphism
8
polymorphism associated
8
associated hdl-c
8

Similar Publications

Association between obstructive sleep apnea and hyperuricemia/gout in the general population: a cross-sectional study.

BMC Musculoskelet Disord

January 2025

Department of Internal Medicine, Division of Rheumatology, Soonchunhyang University Seoul Hospital, Soonchunhyang University School of Medicine, Seoul, South Korea.

Background: Obstructive sleep apnea (OSA) is linked to various health conditions, including cardiovascular diseases and metabolic disorders. Hyperuricemia and gout may be associated with OSA, but large-scale studies on this are limited. This study aimed to investigate the association between hyperuricemia/gout and OSA using data from the Korea National Health and Nutrition Survey (KNHANES).

View Article and Find Full Text PDF

Objective: This study investigates the association between blood urea nitrogen (BUN) levels and the risk of delirium in critically ill elderly patients without kidney disease.

Methods: A retrospective analysis was conducted using data from the MIMIC-IV database. The relationship between BUN and delirium risk was illustrated through the restricted cubic spline (RCS) method.

View Article and Find Full Text PDF

Heavy alcohol consumption is a known risk factor for type 2 diabetes (T2D), However, the moderating effect of fasting plasma glucose (FPG) levels remains unclear. This study explores the relationship between alcohol intake and T2D risk across FPG strata in a Japanese cohort. Data from 15,453 participants in the NAGALA cohort were analyzed over 5.

View Article and Find Full Text PDF

Introduction: Hypocalcemia occurs in 20%-40% of total thyroidectomy cases, traditionally requires 1-2 ds of hospitalization for management. This study examines the extent of hypocalcemia following a postanesthesia care unit (PACU) parathyroid hormone (PTH)-based protocol after outpatient thyroidectomy.

Methods: Patients who underwent total or completion thyroidectomy for non-Graves' disease at a single institution between December 2015 and September 2023 were included.

View Article and Find Full Text PDF

Accurate and continuous blood glucose monitoring is essential for effective diabetes management, yet traditional finger pricking methods are often inconvenient and painful. To address this issue, photoplethysmography (PPG) presents a promising non-invasive alternative for estimating blood glucose levels. In this study, we propose an innovative 1-second signal segmentation method and evaluate the performance of three advanced deep learning models using a novel dataset to estimate blood glucose levels from PPG signals.

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!