| Title |
The effect of post-resistance exercise alcohol ingestion on lipopolysaccharide-stimulated cytokines
|
|---|---|
| Published in |
European Journal of Applied Physiology, October 2015
|
| DOI | 10.1007/s00421-015-3278-6 |
| Pubmed ID | |
| Authors |
Danielle E. Levitt, Anthony A. Duplanty, Ronald G. Budnar, Hui-Ying Luk, Alexander Fernandez, Travis J. Layman, Daniel L. Fancher, David W. Hill, Brian K. McFarlin, Jakob L. Vingren |
| Abstract |
To examine the effect of post-resistance exercise alcohol ingestion on lipopolysaccharide (LPS)-stimulated production of IFNγ, TNF-α, IL-1β, IL-6, IL-8, and IL-10. Recreationally resistance-trained men (n = 10, 25 ± 3 year, 177 ± 7 cm, 83.8 ± 15.7 kg, 14.8 ± 8.5 % body fat) and women (n = 8, 23 ± 2 year, 161 ± 3 cm, 59.5 ± 6.0 kg, 26.5 ± 3.0 % body fat) completed two identical heavy back squat sessions (6 × 10 at 80 % 1 repetition maximum) followed by ingestion of either an alcohol (ALC; 1.09 g ethanol · kg fat-free mass(-1)) or water (PLA) drink. Blood samples were collected before exercise (PRE), and at 3 h (3 h), and 5 h (5 h) after exercise, stimulated with LPS, and analyzed for IFNγ, TNF-α, IL-1β, IL-6, IL-8, and IL-10 concentrations. There were no drink conditions by time effects for IFNγ, TNF-α, IL-1β, or IL-10. Regardless of condition, resistance exercise induce an increase in IFNγ, TNF-α, and IL-1β at 5 h compared to PRE but a decrease in IL-10 at 3 and 5 h compared to PRE. For ALC, IL-8 was reduced at 5 h compared to PLA. From PRE to 3 h, IL-6 was reduced for ALC but increased for PLA; resistance exercise induced an increase in IL-6 for both conditions at 5 h. Heavy resistance exercise increased production of IFNγ, TNF-α, IL-1β, and Il-6 and decreased production of IL-10. Alcohol ingestion after resistance exercise affected aspects of inflammatory capacity (IL-6 and IL-8 production). It appears that some of the effects previously observed for alcohol ingestion alone on the LPS-stimulated cytokine production were overwhelmed by the response to resistance exercise. |
X Demographics
The data shown below were collected from the profiles of 2 X users who shared this research output. Click here to find out more about how the information was compiled.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| United Kingdom | 1 | 50% |
| United States | 1 | 50% |
Demographic breakdown
| Type | Count | As % |
|---|---|---|
| Scientists | 2 | 100% |
Mendeley readers
The data shown below were compiled from readership statistics for 42 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| Unknown | 42 | 100% |
Demographic breakdown
| Readers by professional status | Count | As % |
|---|---|---|
| Student > Master | 6 | 14% |
| Student > Bachelor | 6 | 14% |
| Student > Ph. D. Student | 5 | 12% |
| Student > Doctoral Student | 4 | 10% |
| Student > Postgraduate | 4 | 10% |
| Other | 9 | 21% |
| Unknown | 8 | 19% |
| Readers by discipline | Count | As % |
|---|---|---|
| Medicine and Dentistry | 12 | 29% |
| Sports and Recreations | 9 | 21% |
| Nursing and Health Professions | 3 | 7% |
| Biochemistry, Genetics and Molecular Biology | 2 | 5% |
| Social Sciences | 2 | 5% |
| Other | 5 | 12% |
| Unknown | 9 | 21% |
Attention Score in Context
This research output has an Altmetric Attention Score of 1. This is our high-level measure of the quality and quantity of online attention that it has received. This Attention Score, as well as the ranking and number of research outputs shown below, was calculated when the research output was last mentioned on 28 October 2015.
All research outputs
#17,286,645
of 25,374,917 outputs
Outputs from European Journal of Applied Physiology
#3,318
of 4,345 outputs
Outputs of similar age
#176,900
of 295,174 outputs
Outputs of similar age from European Journal of Applied Physiology
#30
of 34 outputs
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