| Title |
Strength training reduces circulating interleukin-6 but not brain-derived neurotrophic factor in community-dwelling elderly individuals
|
|---|---|
| Published in |
GeroScience, August 2014
|
| DOI | 10.1007/s11357-014-9704-6 |
| Pubmed ID | |
| Authors |
Louis Nuvagah Forti, Rose Njemini, Ingo Beyer, Elke Eelbode, Romain Meeusen, Tony Mets, Ivan Bautmans |
| Abstract |
Ageing is associated with a chronic low-grade inflammatory profile (CLIP). Physical exercise could circumvent the deleterious effects of CLIP by influencing circulating inflammatory mediators and neurotrophic growth factors. This study aimed at assessing whether 12 weeks of progressive strength training (PST) influences circulating brain-derived neurotrophic factor (BDNF), interleukin (IL)-6 and IL-10 in elderly individuals. Forty community-dwelling persons aged 62-72 years participated. Twenty participants were assigned to 12-week PST (70-80 % of maximal strength, three times per week). Matched control individuals (n = 20) maintained daily activity levels. Serum was collected for BDNF, IL-6 and IL-10 assay from all participants before and after 12 weeks (for PST subjects 24-48 h after the last training). In PST, muscle strength was significantly improved (+49 % for leg extension, p = 0.039), and basal IL-6 levels significantly reduced (p = 0.001), which remained unchanged in control (p = 0.117). No significant change in BDNF was observed in PST subjects (p = 0.147) or control (p = 0.563). IL-10 was below the detection limit in most subjects. Gender and health status did not influence the results. Our results show that after 12-week PST, muscle performance improved significantly, and basal levels of IL-6 were significantly decreased in older subjects. However, serum BDNF was not altered. The lack of an observable change in BDNF might be due to a short-lived BDNF response, occurring acutely following exercise, which might have been washed out when sampling. Furthermore, blood levels of BDNF may not reflect parallel increases that occur locally in the brain and muscle. These hypotheses need confirmation by further studies. |
X Demographics
The data shown below were collected from the profile of 1 X user who shared this research output. Click here to find out more about how the information was compiled.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| Unknown | 1 | 100% |
Demographic breakdown
| Type | Count | As % |
|---|---|---|
| Scientists | 1 | 100% |
Mendeley readers
The data shown below were compiled from readership statistics for 191 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| Japan | 1 | <1% |
| Portugal | 1 | <1% |
| Unknown | 189 | 99% |
Demographic breakdown
| Readers by professional status | Count | As % |
|---|---|---|
| Student > Master | 31 | 16% |
| Researcher | 21 | 11% |
| Student > Ph. D. Student | 20 | 10% |
| Student > Bachelor | 20 | 10% |
| Student > Postgraduate | 15 | 8% |
| Other | 32 | 17% |
| Unknown | 52 | 27% |
| Readers by discipline | Count | As % |
|---|---|---|
| Sports and Recreations | 34 | 18% |
| Medicine and Dentistry | 25 | 13% |
| Nursing and Health Professions | 19 | 10% |
| Biochemistry, Genetics and Molecular Biology | 11 | 6% |
| Psychology | 8 | 4% |
| Other | 24 | 13% |
| Unknown | 70 | 37% |
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 22 August 2014.
All research outputs
#20,656,820
of 25,374,647 outputs
Outputs from GeroScience
#1,391
of 1,595 outputs
Outputs of similar age
#168,926
of 231,090 outputs
Outputs of similar age from GeroScience
#16
of 22 outputs
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