Abstract
Background: Total weight loss induced by energy restriction is highly variable even under tightly controlled conditions. Identifying weight-loss discriminants would provide a valuableweightmanagement tool and insights into bodyweight regulation. Objective: This study characterized responsiveness to energy restriction in adults from variables including the plasma metabolome, endocrine and inflammatory markers, clinical indices, body composition, diet, and physical activity. Methods: Data were derived from a controlled feeding trial investigating the effect of 3-4 dairy product servings in an energy-restricted diet (2092 kJ/d reduction) over 12 wk. Partial least squares regression was used to identify weight-loss discriminants in 67 overweight and obese adults. Linear mixed models were developed to identify discriminant variable differences in high-vs. low-weight-loss responders. Results: Both pre-and postintervention variables (n = 127) were identified as weight-loss discriminants (root mean squared error of prediction = 1.85 kg; Q<sup>2</sup> = 0.43). Compared with low-responders (LR), high-responders (HR) had greater decreases in bodyweight (LR:2.7 ± 1.6 kg; HR:9.4 ± 1.8 kg, P < 0.01), BMI (in kg/m<sup>2</sup>; LR:1.0 ± 0.6; HR:3.3 ± 0.5, P < 0.01), and total fat (LR:2.2 ± 1.1 kg; HR:8.0 ± 2.1 kg, P < 0.01). Significant group effects unaffected by the intervention were determined for the respiratory exchange ratio (LR:0.86 ± 0.05; HR:0.82 ± 0.03, P < 0.01),moderate physical activity (LR:127 ± 52 min; HR:167 ± 68 min, P = 0.02), sedentary activity (LR:1090 6 99 min; HR:1017 ± 110 min, P = 0.02), and plasma stearate [LR:102,000 ± 21,000 quantifier ion peak height (QIPH); HR:116,000 ± 24,000 QIPH, P = 0.01]. Conclusions: Overweight and obese individuals highly responsive to energy restriction had accelerated reductions in adiposity, likely supported in part by higher lipid mobilization and combustion. A novel observation was that person-to-person differences in habitual physical activity andmagnitude of weight loss were accompanied by unique bloodmetabolite signatures. This trial was registered at clinicaltrials.gov as NCT00858312.
| Original language | English (US) |
|---|---|
| Pages (from-to) | 681-690 |
| Number of pages | 10 |
| Journal | Journal of Nutrition |
| Volume | 145 |
| Issue number | 4 |
| DOIs | |
| State | Published - 2015 |
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Keywords
- Body composition
- Branched-chain amino acids
- Calorie restriction
- Metabolomics
- Obesity
- Physical activity
- Respiratory exchange ratio
- Statistical modeling
- Weight loss
ASJC Scopus subject areas
- Medicine (miscellaneous)
- Nutrition and Dietetics
Cite this
Habitual physical activity and plasma metabolomic patterns distinguish individuals with low vs. high weight loss during controlled energy restriction. / Piccolo, Brian D.; Keim, Nancy L.; Fiehn, Oliver; Adams, Sean H.; Van Loan, Marta D.; Newman, John W.
In: Journal of Nutrition, Vol. 145, No. 4, 2015, p. 681-690.Research output: Contribution to journal › Article
}
TY - JOUR
T1 - Habitual physical activity and plasma metabolomic patterns distinguish individuals with low vs. high weight loss during controlled energy restriction
AU - Piccolo, Brian D.
AU - Keim, Nancy L.
AU - Fiehn, Oliver
AU - Adams, Sean H.
AU - Van Loan, Marta D.
AU - Newman, John W.
PY - 2015
Y1 - 2015
N2 - Background: Total weight loss induced by energy restriction is highly variable even under tightly controlled conditions. Identifying weight-loss discriminants would provide a valuableweightmanagement tool and insights into bodyweight regulation. Objective: This study characterized responsiveness to energy restriction in adults from variables including the plasma metabolome, endocrine and inflammatory markers, clinical indices, body composition, diet, and physical activity. Methods: Data were derived from a controlled feeding trial investigating the effect of 3-4 dairy product servings in an energy-restricted diet (2092 kJ/d reduction) over 12 wk. Partial least squares regression was used to identify weight-loss discriminants in 67 overweight and obese adults. Linear mixed models were developed to identify discriminant variable differences in high-vs. low-weight-loss responders. Results: Both pre-and postintervention variables (n = 127) were identified as weight-loss discriminants (root mean squared error of prediction = 1.85 kg; Q2 = 0.43). Compared with low-responders (LR), high-responders (HR) had greater decreases in bodyweight (LR:2.7 ± 1.6 kg; HR:9.4 ± 1.8 kg, P < 0.01), BMI (in kg/m2; LR:1.0 ± 0.6; HR:3.3 ± 0.5, P < 0.01), and total fat (LR:2.2 ± 1.1 kg; HR:8.0 ± 2.1 kg, P < 0.01). Significant group effects unaffected by the intervention were determined for the respiratory exchange ratio (LR:0.86 ± 0.05; HR:0.82 ± 0.03, P < 0.01),moderate physical activity (LR:127 ± 52 min; HR:167 ± 68 min, P = 0.02), sedentary activity (LR:1090 6 99 min; HR:1017 ± 110 min, P = 0.02), and plasma stearate [LR:102,000 ± 21,000 quantifier ion peak height (QIPH); HR:116,000 ± 24,000 QIPH, P = 0.01]. Conclusions: Overweight and obese individuals highly responsive to energy restriction had accelerated reductions in adiposity, likely supported in part by higher lipid mobilization and combustion. A novel observation was that person-to-person differences in habitual physical activity andmagnitude of weight loss were accompanied by unique bloodmetabolite signatures. This trial was registered at clinicaltrials.gov as NCT00858312.
AB - Background: Total weight loss induced by energy restriction is highly variable even under tightly controlled conditions. Identifying weight-loss discriminants would provide a valuableweightmanagement tool and insights into bodyweight regulation. Objective: This study characterized responsiveness to energy restriction in adults from variables including the plasma metabolome, endocrine and inflammatory markers, clinical indices, body composition, diet, and physical activity. Methods: Data were derived from a controlled feeding trial investigating the effect of 3-4 dairy product servings in an energy-restricted diet (2092 kJ/d reduction) over 12 wk. Partial least squares regression was used to identify weight-loss discriminants in 67 overweight and obese adults. Linear mixed models were developed to identify discriminant variable differences in high-vs. low-weight-loss responders. Results: Both pre-and postintervention variables (n = 127) were identified as weight-loss discriminants (root mean squared error of prediction = 1.85 kg; Q2 = 0.43). Compared with low-responders (LR), high-responders (HR) had greater decreases in bodyweight (LR:2.7 ± 1.6 kg; HR:9.4 ± 1.8 kg, P < 0.01), BMI (in kg/m2; LR:1.0 ± 0.6; HR:3.3 ± 0.5, P < 0.01), and total fat (LR:2.2 ± 1.1 kg; HR:8.0 ± 2.1 kg, P < 0.01). Significant group effects unaffected by the intervention were determined for the respiratory exchange ratio (LR:0.86 ± 0.05; HR:0.82 ± 0.03, P < 0.01),moderate physical activity (LR:127 ± 52 min; HR:167 ± 68 min, P = 0.02), sedentary activity (LR:1090 6 99 min; HR:1017 ± 110 min, P = 0.02), and plasma stearate [LR:102,000 ± 21,000 quantifier ion peak height (QIPH); HR:116,000 ± 24,000 QIPH, P = 0.01]. Conclusions: Overweight and obese individuals highly responsive to energy restriction had accelerated reductions in adiposity, likely supported in part by higher lipid mobilization and combustion. A novel observation was that person-to-person differences in habitual physical activity andmagnitude of weight loss were accompanied by unique bloodmetabolite signatures. This trial was registered at clinicaltrials.gov as NCT00858312.
KW - Body composition
KW - Branched-chain amino acids
KW - Calorie restriction
KW - Metabolomics
KW - Obesity
KW - Physical activity
KW - Respiratory exchange ratio
KW - Statistical modeling
KW - Weight loss
UR - http://www.scopus.com/inward/record.url?scp=84928531192&partnerID=8YFLogxK
UR - http://www.scopus.com/inward/citedby.url?scp=84928531192&partnerID=8YFLogxK
U2 - 10.3945/jn.114.201574
DO - 10.3945/jn.114.201574
M3 - Article
C2 - 25833772
AN - SCOPUS:84928531192
VL - 145
SP - 681
EP - 690
JO - Journal of Nutrition
JF - Journal of Nutrition
SN - 0022-3166
IS - 4
ER -