The DOI matches its Crossref record; 1 of the 1 references it cites were found in a registry or an index.
Utility of circulating IGF-I as a biomarker for assessing body composition changes in men during periods of high physical activity superimposed upon energy and sleep restriction
Abstract
Insulin-like growth factor (IGF)-I is a biomarker that may have greater utility than other conventional nutritional biomarkers in assessing nutritional, health, and fitness status. We hypothesized that the IGF-I system would directionally track a short-term energy deficit and would be more related to changes in body composition than other nutritional biomarkers. Thirty-five healthy men (24 ± 0.3 yr) underwent 8 days of exercise and energy imbalance. Total and free IGF-I, IGF binding proteins-1, -2, and -3, the acid labile subunit, transferrin, ferritin, retinol binding protein, prealbumin, testosterone, triiodothyronine, thyroxine, and leptin responses were measured. Dual-energy X-ray absorptiometry assessed changes in body mass and composition. Repeated-measures ANOVA, correlation analysis, and receiver operator characteristic curves were used for statistical analyses ( P ≤ 0.05). Body mass (−3.8%), fat-free mass (−2.2%), and fat mass (−12.9%) all decreased. Total and free IGF-I, IGF binding protein-3, and the acid labile subunit and prealbumin, but not transferrin, retinol-binding protein, and ferritin, directionally tracked the energy deficit and losses in body composition. The correlation ( r = 0.43) between changes in free IGF-I and body and fat-free mass was the only significant association observed. Receiver operator characteristic curve analysis revealed that a baseline value < 1.67 for the molar volume ratio of IGF-I to acid labile subunit had an area under the curve of 0.745 and was a significant discriminator for those subjects losing >5% body mass. The IGF-I system is an important adjunct in the overall assessment of adaptation to stress imposed by high levels of physical activity superimposed on energy and sleep restriction and is more closely associated with losses in body mass and fat-free mass than other conventional nutritional biomarkers.
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“however, when under extreme energy deprivation combined with high energy expenditure, there have been associations observed between changes in hormones and body composition (15,16).”
In the citing paper
“The percentage change in free IGF-I was, in the previous work (16), shown to be correlated with the percentage change in fat mass;”
In the citing paper
“These authors did not observe that increasing protein from 0.5 to 0.9 g $ kg 21 $ d 21 aided in the retention of LBM (15,16);”
In the citing paper
“In the study described in these publications (15,16), the degree of energy deficit was greater and protein intake was much lower than in the present study.”
In the citing paper
“Our hormonal data align roughly with previous work in military personnel undergoing high levels of daily activity in an extreme energy deficit (15,16).”
Citations
Cites
Endocrine markers of semistarvation in healthy lean men in a multistressor environment
Friedl, K. E., Moore, R. J., Hoyt, R. W., Marchitelli, L. J., Martinez-Lopez, L. E., & Askew, E. W. (2000) · Journal of Applied Physiology · doi:10.1152/jappl.2000.88.5.1820 · Cited by 316 · cited 1×
“While it may seem intuitive that IGF-I is associated with changes in body composition, due to the somatotrophic influence that IGF-I exerts on body tissues (14, 22, 29), there are discordant data with regard to the relationship between IGF-I and body composition (10, 19, 27, 30, 31).”
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Research works printed but not linked: 23
- 10.1016/S1096-6374(98)80298-0 · DOI
- 10.1152/ajpendo.2000.278.6.E967 · DOI
- 10.1677/joe.0.1700063 · DOI
- 10.1093/ajcn/41.2.191 · DOI
- Clemmons DR, Klibanski A, Underwood LE, McArthur JW, Ridgway EC, Van Wyk JJ. Reduction of plasma immunoreactive somatomedin-C during fasting. J Clin Endocrinol Metab 53: 1247–1250, 1991. · DOI
- 10.1152/jappl.1989.67.5.1922 · DOI
- Flynn T, Fritz J, Whitman J, Wainner R, Magel J, Rendeiro D, Butler B, Garher M, Allison SA. A clinical prediction rule for classifying patients with low back pain who demonstrate short-term improvement with spinal manipulation. Spine 24: 2835–2843, 2002. · DOI
- 10.1097/00003246-198708000-00004 · DOI
- Isley WL, Underwood LE, Clemmons DR. Dietary components that regulate serum somatomedin-C concentrations in humans. J Clin Invest 11: 175–182, 1983. · DOI
- 10.1001/jama.1994.03510330081039 · DOI
- 10.1159/000184797 · DOI
- 10.1210/jcem.82.12.4415 · DOI
- Lopez-Hellin J, Baena-Fustegueras JA, Schwartz-Riera S, Garcia-Arumi E. Usefulness of short-lived proteins as nutritional indicators in surgical patients. Clin Nutr 21: 119–125, 2002. · DOI
- 10.1177/0148607189013004392 · DOI
- 10.1210/jcem.81.11.8923818 · DOI
- 10.1152/jappl.2001.90.4.1319 · DOI
- Nindl BC, Scoville CR, Sheehan KM, Leone CD, Mello RP. Gender differences in regional body composition and somatotrophic influences of IGF-I and leptin. J Appl Physiol 92: 1611–1616, 2001. · DOI
- 10.1152/japplphysiol.01148.2002 · DOI
- 10.1089/152091503765691974 · DOI
- Nindl BC, Rarick KR, Castelanni JW, Tuckow AP, Patton JF, Young AJ, Montain SJ. Altered secretion of growth hormone and luteinizing hormone after 84 h of sustained physical exertion superimposed on caloric and sleep restriction. J Appl Physiol 100: 122–128, 2006. · DOI
- 10.1172/JCI117916 · DOI
- 10.1152/physrev.1990.70.3.591 · DOI
- Thissen JP, Ketelslegers JM, Underwood LE. Nutritional regulation of the insulin-like growth factors. Endocr Rev 15: 80–101, 1994. · DOI
Cited by
Sorted by citations
Mountjoy, M., Ackerman, K. E., Bailey, D. M., Burke, L. M., Constantini, N., Hackney, A. C., Heikura, I. A., Melin, A., Pensgaard, A. M., Stellingwerff, T., et al. (2023) · British Journal of Sports Medicine · doi:10.1136/bjsports-2023-106994 · Cited by 724
Increased Protein Intake Reduces Lean Body Mass Loss during Weight Loss in Athletes
METTLER, S., MITCHELL, N., & TIPTON, K. D. (2010) · Medicine & Science in Sports & Exercise · doi:10.1249/mss.0b013e3181b2ef8e · Cited by 288
Longland, T. M., Oikawa, S. Y., Mitchell, C. J., Devries, M. C., & Phillips, S. M. (2016) · The American Journal of Clinical Nutrition · doi:10.3945/ajcn.115.119339 · Cited by 271
Sekel, N. M., Beckner, M. E., Conkright, W. R., LaGoy, A. D., Proessl, F., Lovalekar, M., Martin, B. J., Jabloner, L. R., Beck, A. L., Eagle, S. R., et al. (2023) · Frontiers in Psychology · doi:10.3389/fpsyg.2023.1102425 · Cited by 28
Self-citation
Metadata
- Authors
- Nindl, B. C., Alemany, J. A., Kellogg, M. D., Rood, J., Allison, S. A., Young, A. J., & Montain, S. J.
- Venue
- Journal of Applied Physiology
- Publisher
- American Physiological Society
- Published
- 2007-07
- Volume
- 103
- Issue
- 1
- Pages
- 340-346
- ISSN
- 8750-7587
- 1522-1601
- Cited by
- 67
- References
- 1
- Language
- en
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