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1. Predictive equation derived from 6,497 doubly labelled water measurements enables the detection of erroneous self-reported energy intake

Author

Bajunaid, Rania, Niu, Chaoqun, Hambly, Catherine, Liu, Zongfang, Yamada, Yosuke, Aleman-Mateo, Heliodoro, Anderson, Liam J., Arab, Lenore, Baddou, Issad, Bandini, Linda, Bedu-Addo, Kweku, Blaak, Ellen E., Bouten, Carlijn V. C., Brage, Soren, Buchowski, Maciej S., Butte, Nancy F., Camps, Stefan G. J. A., Casper, Regina, Close, Graeme L., Cooper, Jamie A., Cooper, Richard, Das, Sai Krupa, Davies, Peter S. W., Dabare, Prasangi, Dugas, Lara R., Eaton, Simon, Ekelund, Ulf, Entringer, Sonja, Forrester, Terrence, Fudge, Barry W., Gillingham, Melanie, Goris, Annelies H., Gurven, Michael, El Hamdouchi, Asmaa, Haisma, Hinke H., Hoffman, Daniel, Hoos, Marije B., Hu, Sumei, Joonas, Noorjehan, Joosen, Annemiek M., Katzmarzyk, Peter, Kimura, Misaka, Kraus, William E., Kriengsinyos, Wantanee, Kuriyan, Rebecca, Kushner, Robert F., Lambert, Estelle V., Lanerolle, Pulani, Larsson, Christel L., Leonard, William R., Lessan, Nader, Löf, Marie, Martin, Corby K., Matsiko, Eric, Medin, Anine C., Morehen, James C., Morton, James P., Must, Aviva, Neuhouser, Marian L., Nicklas, Theresa A., Nyström, Christine D., Ojiambo, Robert M., Pietiläinen, Kirsi H., Pitsiladis, Yannis P., Plange-Rhule, Jacob, Plasqui, Guy, Prentice, Ross L., Racette, Susan B., Raichlen, David A., Ravussin, Eric, Redman, Leanne M., Reilly, John J., Reynolds, Rebecca, Roberts, Susan B., Samaranayakem, Dulani, Sardinha, Luis B., Silva, Analiza M., Sjödin, Anders M., Stamatiou, Marina, Stice, Eric, Urlacher, Samuel S., Van Etten, Ludo M., van Mil, Edgar G. A. H., Wilson, George, Yanovski, Jack A., Yoshida, Tsukasa, Zhang, Xueying, Murphy-Alford, Alexia J., Sinha, Srishti, Loechl, Cornelia U., Luke, Amy H., Pontzer, Herman, Rood, Jennifer, Sagayama, Hiroyuki, Schoeller, Dale A., Westerterp, Klaas R., Wong, William W., and Speakman, John R.

Published
2025
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4. Variation in human water turnover associated with environmental and lifestyle factors

Author

Yamada, Yosuke, Zhang, Xueying, Henderson, Mary ET, Sagayama, Hiroyuki, Pontzer, Herman, Watanabe, Daiki, Yoshida, Tsukasa, Kimura, Misaka, Ainslie, Philip N, Andersen, Lene F, Anderson, Liam J, Arab, Lenore, Baddou, Issad, Bedu-Addo, Kweku, Blaak, Ellen E, Blanc, Stephane, Bonomi, Alberto G, Bouten, Carlijn VC, Bovet, Pascal, Buchowski, Maciej S, Butte, Nancy F, Camps, Stefan G, Close, Graeme L, Cooper, Jamie A, Cooper, Richard, Das, Sai Krupa, Dugas, Lara R, Eaton, Simon, Ekelund, Ulf, Entringer, Sonja, Forrester, Terrence, Fudge, Barry W, Goris, Annelies H, Gurven, Michael, Halsey, Lewis G, Hambly, Catherine, Hamdouchi, Asmaa El, Hoos, Marije B, Hu, Sumei, Joonas, Noorjehan, Joosen, Annemiek M, Katzmarzyk, Peter, Kempen, Kitty P, Kraus, William E, Kriengsinyos, Wantanee, Kushner, Robert F, Lambert, Estelle V, Leonard, William R, Lessan, Nader, Martin, Corby K, Medin, Anine C, Meijer, Erwin P, Morehen, James C, Morton, James P, Neuhouser, Marian L, Nicklas, Theresa A, Ojiambo, Robert M, Pietiläinen, Kirsi H, Pitsiladis, Yannis P, Plange-Rhule, Jacob, Plasqui, Guy, Prentice, Ross L, Rabinovich, Roberto A, Racette, Susan B, Raichlen, David A, Ravussin, Eric, Redman, Leanne M, Reilly, John J, Reynolds, Rebecca M, Roberts, Susan B, Schuit, Albertine J, Sardinha, Luis B, Silva, Analiza M, Sjödin, Anders M, Stice, Eric, Urlacher, Samuel S, Valenti, Giulio, Van Etten, Ludo M, Van Mil, Edgar A, Wells, Jonathan CK, Wilson, George, Wood, Brian M, Yanovski, Jack A, Murphy-Alford, Alexia J, Loechl, Cornelia U, Luke, Amy H, Rood, Jennifer, Westerterp, Klaas R, Wong, William W, Miyachi, Motohiko, Schoeller, Dale A, Speakman, John R, and Consortium§, International Atomic Energy Agency Doubly Labeled Water Database

Subjects
Prevention, Clean Water and Sanitation, Female, Humans, Pregnancy, Exercise, Humidity, Life Style, Social Class, Water, Infant, Newborn, Infant, Child, Preschool, Child, Adolescent, Young Adult, Adult, Middle Aged, Aged, Aged, 80 and over, Drinking, International Atomic Energy Agency (IAEA) Doubly Labeled Water (DLW) Database Consortium§, General Science & Technology
Abstract

Water is essential for survival, but one in three individuals worldwide (2.2 billion people) lacks access to safe drinking water. Water intake requirements largely reflect water turnover (WT), the water used by the body each day. We investigated the determinants of human WT in 5604 people from the ages of 8 days to 96 years from 23 countries using isotope-tracking (2H) methods. Age, body size, and composition were significantly associated with WT, as were physical activity, athletic status, pregnancy, socioeconomic status, and environmental characteristics (latitude, altitude, air temperature, and humidity). People who lived in countries with a low human development index (HDI) had higher WT than people in high-HDI countries. On the basis of this extensive dataset, we provide equations to predict human WT in relation to anthropometric, economic, and environmental factors.

Published
2022

5. Variability in energy expenditure is much greater in males than females

Author

Halsey, Lewis G, Careau, Vincent, Pontzer, Herman, Ainslie, Philip N, Andersen, Lene F, Anderson, Liam J, Arab, Lenore, Baddou, Issad, Bedu-Addo, Kweku, Blaak, Ellen E, Blanc, Stephane, Bonomi, Alberto G, Bouten, Carlijn VC, Bovet, Pascal, Buchowski, Maciej S, Butte, Nancy F, Camps, Stefan GJA, Close, Graeme L, Cooper, Jamie A, Das, Sai Krupa, Cooper, Richard, Dugas, Lara R, Ekelund, Ulf, Entringer, Sonja, Forrester, Terrence, Fudge, Barry W, Goris, Annelies H, Gurven, Michael, Hambly, Catherine, Hamdouchi, Asmaa El, Hoos, Marije B, Hu, Sumei, Joonas, Noorjehan, Joosen, Annemiek M, Katzmarzyk, Peter, Kempen, Kitty P, Kimura, Misaka, Kraus, William E, Kushner, Robert F, Lambert, Estelle V, Leonard, William R, Lessan, Nader, Martin, Corby K, Medin, Anine C, Meijer, Erwin P, Morehen, James C, Morton, James P, Neuhouser, Marian L, Nicklas, Theresa A, Ojiambo, Robert M, Pietiläinen, Kirsi H, Pitsiladis, Yannis P, Plange-Rhule, Jacob, Plasqui, Guy, Prentice, Ross L, Rabinovich, Roberto A, Racette, Susan B, Raichlen, David A, Ravussin, Eric, Reynolds, Rebecca M, Roberts, Susan B, Schuit, Albertine J, Sjödin, Anders M, Stice, Eric, Urlacher, Samuel S, Valenti, Giulio, Van Etten, Ludo M, Van Mil, Edgar A, Wilson, George, Wood, Brian M, Yanovski, Jack, Yoshida, Tsukasa, Zhang, Xueying, Murphy-Alford, Alexia J, Loechl, Cornelia U, Luke, Amy H, Rood, Jennifer, Sagayama, Hiroyuki, Schoeller, Dale A, Westerterp, Klaas R, Wong, William W, Yamada, Yosuke, and Speakman, John R

Subjects
Obesity, Behavioral and Social Science, Affordable and Clean Energy, Adult, Aged, Aging, Animals, Body Composition, Energy Metabolism, Female, Humans, Male, Mammals, Reproduction, Sex Characteristics, DLW, Energetics, Activity, Trait variability, Biological sex, Evolutionary Biology, Anthropology, Archaeology
Abstract

In mammals, trait variation is often reported to be greater among males than females. However, to date, mainly only morphological traits have been studied. Energy expenditure represents the metabolic costs of multiple physical, physiological, and behavioral traits. Energy expenditure could exhibit particularly high greater male variation through a cumulative effect if those traits mostly exhibit greater male variation, or a lack of greater male variation if many of them do not. Sex differences in energy expenditure variation have been little explored. We analyzed a large database on energy expenditure in adult humans (1494 males and 3108 females) to investigate whether humans have evolved sex differences in the degree of interindividual variation in energy expenditure. We found that, even when statistically comparing males and females of the same age, height, and body composition, there is much more variation in total, activity, and basal energy expenditure among males. However, with aging, variation in total energy expenditure decreases, and because this happens more rapidly in males, the magnitude of greater male variation, though still large, is attenuated in older age groups. Considerably greater male variation in both total and activity energy expenditure could be explained by greater male variation in levels of daily activity. The considerably greater male variation in basal energy expenditure is remarkable and may be explained, at least in part, by greater male variation in the size of energy-demanding organs. If energy expenditure is a trait that is of indirect interest to females when choosing a sexual partner, this would suggest that energy expenditure is under sexual selection. However, we present a novel energetics model demonstrating that it is also possible that females have been under stabilizing selection pressure for an intermediate basal energy expenditure to maximize energy available for reproduction.

Published
2022

6. Human total, basal and activity energy expenditures are independent of ambient environmental temperature

Author

Zhang, Xueying, Yamada, Yosuke, Sagayama, Hiroyuki, Ainslie, Philip N, Blaak, Ellen E, Buchowski, Maciej S, Close, Graeme L, Cooper, Jamie A, Das, Sai Krupa, Dugas, Lara R, Gurven, Michael, Hamdouchi, Asmaa El, Hu, Sumei, Joonas, Noorjehan, Katzmarzyk, Peter, Kraus, William E, Kushner, Robert F, Leonard, William R, Martin, Corby K, Meijer, Erwin P, Neuhouser, Marian L, Ojiambo, Robert M, Pitsiladis, Yannis P, Plasqui, Guy, Prentice, Ross L, Racette, Susan B, Ravussin, Eric, Redman, Leanne M, Reynolds, Rebecca M, Roberts, Susan B, Sardinha, Luis B, Silva, Analiza M, Stice, Eric, Urlacher, Samuel S, Van Mil, Edgar A, Wood, Brian M, Murphy-Alford, Alexia J, Loechl, Cornelia, Luke, Amy H, Rood, Jennifer, Schoeller, Dale A, Westerterp, Klaas R, Wong, William W, Pontzer, Herman, Speakman, John R, consortium, the IAEA DLW database, Andersen, Lene F, Anderson, Liam J, Arab, Lenore, Baddou, Issad, Addo, Bedu, Blanc, Stephane, Bonomi, Alberto, Bouten, Carlijn VC, Bovet, Pascal, Branth, Stefan, De Bruin, Niels C, Butte, Nancy F, Colbert, Lisa H, Camps, Stephan G, Dutman, Alice E, Eaton, Simon D, Ekelund, Ulf, Entringer, Sonja, Ebbeling, Cara, Elmståhl, Sölve, Fogelholm, Mikael, Forrester, Terrence, Fudge, Barry W, Harris, Tamara, Heijligenberg, Rik, Goris, Annelies H, Hambly, Catherine, Hoos, Marije B, Jorgensen, Hans U, Joosen, Annemiek M, Kempen, Kitty P, Kimura, Misaka, Kriengsinyos, Watanee, Lambert, Estelle V, Larsson, Christel L, Lessan, Nader, Ludwig, David S, McCloskey, Margaret, Medin, Anine C, Meijer, Gerwin A, Matsiko, Eric, Melse-Boonstra, Alida, Morehen, James C, Morton, James P, Nicklas, Theresa A, Pannemans, Daphne L, Pietiläinen, Kirsi H, Philippaerts, Renaat M, Rabinovich, Roberto A, Reilly, John J, Rothenberg, Elisabet M, Schuit, Albertine J, Schulz, Sabine, and Sjödin, Anders M

Subjects
Nutrition, IAEA DLW database consortium, Human Physiology, Human activity in medical context, Human metabolism
Abstract

Lower ambient temperature (Ta) requires greater energy expenditure to sustain body temperature. However, effects of Ta on human energetics may be buffered by environmental modification and behavioral compensation. We used the IAEA DLW database for adults in the USA (n = 3213) to determine the effect of Ta (-10 to +30°C) on TEE, basal (BEE) and activity energy expenditure (AEE) and physical activity level (PAL). There were no significant relationships (p > 0.05) between maximum, minimum and average Ta and TEE, BEE, AEE and PAL. After adjustment for fat-free mass, fat mass and age, statistically significant (p

Published
2022

7. Total energy expenditure is repeatable in adults but not associated with short-term changes in body composition

Author

Rimbach, Rebecca, Yamada, Yosuke, Sagayama, Hiroyuki, Ainslie, Philip N, Anderson, Lene F, Anderson, Liam J, Arab, Lenore, Baddou, Issaad, Bedu-Addo, Kweku, Blaak, Ellen E, Blanc, Stephane, Bonomi, Alberto G, Bouten, Carlijn VC, Bovet, Pascal, Buchowski, Maciej S, Butte, Nancy F, Camps, Stefan GJA, Close, Graeme L, Cooper, Jamie A, Das, Sai Krupa, Dugas, Lara R, Ekelund, Ulf, Entringer, Sonja, Forrester, Terrence, Fudge, Barry W, Goris, Annelies H, Gurven, Michael, Hambly, Catherine, El Hamdouchi, Asmaa, Hoos, Marije B, Hu, Sumei, Joonas, Noorjehan, Joosen, Annemiek M, Katzmarzyk, Peter, Kempen, Kitty P, Kimura, Misaka, Kraus, William E, Kushner, Robert F, Lambert, Estelle V, Leonard, William R, Lessan, Nader, Martin, Corby K, Medin, Anine C, Meijer, Erwin P, Morehen, James C, Morton, James P, Neuhouser, Marian L, Nicklas, Theresa A, Ojiambo, Robert M, Pietiläinen, Kirsi H, Pitsiladis, Yannis P, Plange-Rhule, Jacob, Plasqui, Guy, Prentice, Ross L, Rabinovich, Roberto A, Racette, Susan B, Raichlen, David A, Ravussin, Eric, Reynolds, Rebecca M, Roberts, Susan B, Schuit, Albertine J, Sjödin, Anders M, Stice, Eric, Urlacher, Samuel S, Valenti, Giulio, Van Etten, Ludo M, Van Mil, Edgar A, Wells, Jonathan CK, Wilson, George, Wood, Brian M, Yanovski, Jack, Yoshida, Tsukasa, Zhang, Xueying, Murphy-Alford, Alexia J, Loechl, Cornelia U, Luke, Amy H, Rood, Jennifer, Schoeller, Dale A, Westerterp, Klaas R, Wong, William W, Speakman, John R, and Pontzer, Herman

Subjects
Nutrition, Pediatric, Clinical Research, Obesity, Aetiology, 2.1 Biological and endogenous factors, Metabolic and endocrine, Adipose Tissue, Adult, Bayes Theorem, Body Composition, Child, Databases, Factual, Energy Metabolism, Female, Humans, Isotope Labeling, Longitudinal Studies, Male, Middle Aged, Water, Weight Gain, IAEA DLW Database Consortium
Abstract

Low total energy expenditure (TEE, MJ/d) has been a hypothesized risk factor for weight gain, but repeatability of TEE, a critical variable in longitudinal studies of energy balance, is understudied. We examine repeated doubly labeled water (DLW) measurements of TEE in 348 adults and 47 children from the IAEA DLW Database (mean ± SD time interval: 1.9 ± 2.9 y) to assess repeatability of TEE, and to examine if TEE adjusted for age, sex, fat-free mass, and fat mass is associated with changes in weight or body composition. Here, we report that repeatability of TEE is high for adults, but not children. Bivariate Bayesian mixed models show no among or within-individual correlation between body composition (fat mass or percentage) and unadjusted TEE in adults. For adults aged 20-60 y (N = 267; time interval: 7.4 ± 12.2 weeks), increases in adjusted TEE are associated with weight gain but not with changes in body composition; results are similar for subjects with intervals >4 weeks (N = 53; 29.1 ± 12.8 weeks). This suggests low TEE is not a risk factor for, and high TEE is not protective against, weight or body fat gain over the time intervals tested.

Published
2022

9. Gut microbiota and fecal short chain fatty acids differ with adiposity and country of origin: the METS-microbiome study

Author

Ecklu-Mensah, Gertrude, Choo-Kang, Candice, Maseng, Maria Gjerstad, Donato, Sonya, Bovet, Pascal, Viswanathan, Bharathi, Bedu-Addo, Kweku, Plange-Rhule, Jacob, Oti Boateng, Prince, Forrester, Terrence E., Williams, Marie, Lambert, Estelle V., Rae, Dale, Sinyanya, Nandipha, Luke, Amy, Layden, Brian T., O’Keefe, Stephen, Gilbert, Jack A., and Dugas, Lara R.

Published
2023
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10. Physical activity and fat-free mass during growth and in later life

Author

Westerterp, Klaas R, Yamada, Yosuke, Sagayama, Hiroyuki, Ainslie, Philip N, Andersen, Lene F, Anderson, Liam J, Arab, Lenore, Baddou, Issaad, Bedu-Addo, Kweku, Blaak, Ellen E, Blanc, Stephane, Bonomi, Alberto G, Bouten, Carlijn VC, Bovet, Pascal, Buchowski, Maciej S, Butte, Nancy F, Camps, Stefan GJA, Close, Graeme L, Cooper, Jamie A, Das, Sai K, Cooper, Richard, Dugas, Lara R, Ekelund, Ulf, Entringer, Sonja, Forrester, Terrence, Fudge, Barry W, Goris, Annelies H, Gurven, Michael, Hambly, Catherine, Hamdouchi, Asmaa El, Hoos, Marije B, Hu, Sumei, Joonas, Noorjehan, Joosen, Annemiek M, Katzmarzyk, Peter, Kempen, Kitty P, Kimura, Misaka, Kraus, William E, Kushner, Robert F, Lambert, Estelle V, Leonard, William R, Lessan, Nader, Martin, Corby K, Medin, Anine C, Meijer, Erwin P, Morehen, James C, Morton, James P, Neuhouser, Marian L, Nicklas, Theresa A, Ojiambo, Robert M, Pietiläinen, Kirsi H, Pitsiladis, Yannis P, Plange-Rhule, Jacob, Plasqui, Guy, Prentice, Ross L, Rabinovich, Roberto A, Racette, Susan B, Raichlen, David A, Ravussin, Eric, Reynolds, Rebecca M, Roberts, Susan B, Schuit, Albertine J, Sjödin, Anders M, Stice, Eric, Urlacher, Samuel S, Valenti, Giulio, Van Etten, Ludo M, Van Mil, Edgar A, Wells, Jonathan CK, Wilson, George, Wood, Brian M, Yanovski, Jack, Yoshida, Tsukasa, Zhang, Xueying, Murphy-Alford, Alexia J, Loechl, Cornelia U, Luke, Amy H, Pontzer, Herman, Rood, Jennifer, Schoeller, Dale A, Wong, William W, Speakman, John R, Branth, Stefan, Colbert, Lisa H, De Bruin, Niels C, Dutman, Alice E, Elmståhl, Sölve, Fogelholm, Mikael, Harris, Tamara, Heijligenberg, Rik, Jorgensen, Hans U, Larsson, Christel L, Rothenberg, Elisabet M, McCloskey, Margaret, Meijer, Gerwin A, Pannemans, Daphne L, Schulz, Sabine, Van den Berg-Emons, Rita, Van Gemert, Wim G, and Wilhelmine, W

Subjects
Prevention, Aging, Clinical Research, Nutrition, Adipose Tissue, Adolescent, Adult, Aged, Aged, 80 and over, Body Composition, Child, Child, Preschool, Cross-Sectional Studies, Energy Metabolism, Exercise, Female, Humans, Male, Middle Aged, Young Adult, physical activity level, age, energy expenditure, body composition, doubly labeled water, International Atomic Energy Agency Doubly Labeled Water database group, Engineering, Medical and Health Sciences, Nutrition & Dietetics
Abstract

BackgroundPhysical activity may be a way to increase and maintain fat-free mass (FFM) in later life, similar to the prevention of fractures by increasing peak bone mass.ObjectivesA study is presented of the association between FFM and physical activity in relation to age.MethodsIn a cross-sectional study, FFM was analyzed in relation to physical activity in a large participant group as compiled in the International Atomic Energy Agency Doubly Labeled Water database. The database included 2000 participants, age 3-96 y, with measurements of total energy expenditure (TEE) and resting energy expenditure (REE) to allow calculation of physical activity level (PAL = TEE/REE), and calculation of FFM from isotope dilution.ResultsPAL was a main determinant of body composition at all ages. Models with age, fat mass (FM), and PAL explained 76% and 85% of the variation in FFM in females and males

Published
2021

11. Energy compensation and adiposity in humans

Author

Careau, Vincent, Halsey, Lewis G, Pontzer, Herman, Ainslie, Philip N, Andersen, Lene F, Anderson, Liam J, Arab, Lenore, Baddou, Issad, Bedu-Addo, Kweku, Blaak, Ellen E, Blanc, Stephane, Bonomi, Alberto G, Bouten, Carlijn VC, Buchowski, Maciej S, Butte, Nancy F, Camps, Stefan GJA, Close, Graeme L, Cooper, Jamie A, Das, Sai Krupa, Cooper, Richard, Dugas, Lara R, Eaton, Simon D, Ekelund, Ulf, Entringer, Sonja, Forrester, Terrence, Fudge, Barry W, Goris, Annelies H, Gurven, Michael, Hambly, Catherine, Hamdouchi, Asmaa El, Hoos, Marije B, Hu, Sumei, Joonas, Noorjehan, Joosen, Annemiek M, Katzmarzyk, Peter, Kempen, Kitty P, Kimura, Misaka, Kraus, William E, Kushner, Robert F, Lambert, Estelle V, Leonard, William R, Lessan, Nader, Martin, Corby K, Medin, Anine C, Meijer, Erwin P, Morehen, James C, Morton, James P, Neuhouser, Marian L, Nicklas, Theresa A, Ojiambo, Robert M, Pietiläinen, Kirsi H, Pitsiladis, Yannis P, Plange-Rhule, Jacob, Plasqui, Guy, Prentice, Ross L, Rabinovich, Roberto A, Racette, Susan B, Raichlen, David A, Ravussin, Eric, Reilly, John J, Reynolds, Rebecca M, Roberts, Susan B, Schuit, Albertine J, Sjödin, Anders M, Stice, Eric, Urlacher, Samuel S, Valenti, Giulio, Van Etten, Ludo M, Van Mil, Edgar A, Wells, Jonathan CK, Wilson, George, Wood, Brian M, Yanovski, Jack, Yoshida, Tsukasa, Zhang, Xueying, Murphy-Alford, Alexia J, Loechl, Cornelia U, Luke, Amy H, Rood, Jennifer, Sagayama, Hiroyuki, Schoeller, Dale A, Wong, William W, Yamada, Yosuke, Speakman, John R, and group, the IAEA DLW database

Subjects
Nutrition, Obesity, Clinical Research, Oral and gastrointestinal, Stroke, Metabolic and endocrine, Cancer, Cardiovascular, Affordable and Clean Energy, Adiposity, Energy Intake, Energy Metabolism, Humans, IAEA DLW database group, Homo sapiens, activity, basal metabolic rate, daily energy expenditure, energy compensation, energy management models, exercise, trade-offs, weight loss, Biological Sciences, Medical and Health Sciences, Psychology and Cognitive Sciences, Developmental Biology
Abstract

Understanding the impacts of activity on energy balance is crucial. Increasing levels of activity may bring diminishing returns in energy expenditure because of compensatory responses in non-activity energy expenditures.1-3 This suggestion has profound implications for both the evolution of metabolism and human health. It implies that a long-term increase in activity does not directly translate into an increase in total energy expenditure (TEE) because other components of TEE may decrease in response-energy compensation. We used the largest dataset compiled on adult TEE and basal energy expenditure (BEE) (n = 1,754) of people living normal lives to find that energy compensation by a typical human averages 28% due to reduced BEE; this suggests that only 72% of the extra calories we burn from additional activity translates into extra calories burned that day. Moreover, the degree of energy compensation varied considerably between people of different body compositions. This association between compensation and adiposity could be due to among-individual differences in compensation: people who compensate more may be more likely to accumulate body fat. Alternatively, the process might occur within individuals: as we get fatter, our body might compensate more strongly for the calories burned during activity, making losing fat progressively more difficult. Determining the causality of the relationship between energy compensation and adiposity will be key to improving public health strategies regarding obesity.

Published
2021

12. Daily energy expenditure through the human life course

Author

Pontzer, Herman, Yamada, Yosuke, Sagayama, Hiroyuki, Ainslie, Philip N, Andersen, Lene F, Anderson, Liam J, Arab, Lenore, Baddou, Issaad, Bedu-Addo, Kweku, Blaak, Ellen E, Blanc, Stephane, Bonomi, Alberto G, Bouten, Carlijn VC, Bovet, Pascal, Buchowski, Maciej S, Butte, Nancy F, Camps, Stefan G, Close, Graeme L, Cooper, Jamie A, Cooper, Richard, Das, Sai Krupa, Dugas, Lara R, Ekelund, Ulf, Entringer, Sonja, Forrester, Terrence, Fudge, Barry W, Goris, Annelies H, Gurven, Michael, Hambly, Catherine, Hamdouchi, Asmaa El, Hoos, Marjije B, Hu, Sumei, Joonas, Noorjehan, Joosen, Annemiek M, Katzmarzyk, Peter, Kempen, Kitty P, Kimura, Misaka, Kraus, William E, Kushner, Robert F, Lambert, Estelle V, Leonard, William R, Lessan, Nader, Martin, Corby, Medin, Anine C, Meijer, Erwin P, Morehen, James C, Morton, James P, Neuhouser, Marian L, Nicklas, Teresa A, Ojiambo, Robert M, Pietiläinen, Kirsi H, Pitsiladis, Yannis P, Plange-Rhule, Jacob, Plasqui, Guy, Prentice, Ross L, Rabinovich, Roberto A, Racette, Susan B, Raichlen, David A, Ravussin, Eric, Reynolds, Rebecca M, Roberts, Susan B, Schuit, Albertine J, Sjödin, Anders M, Stice, Eric, Urlacher, Samuel S, Valenti, Giulio, Van Etten, Ludo M, Van Mil, Edgar A, Wells, Jonathan CK, Wilson, George, Wood, Brian M, Yanovski, Jack, Yoshida, Tsukasa, Zhang, Xueying, Murphy-Alford, Alexia J, Loechl, Cornelia, Luke, Amy H, Rood, Jennifer, Schoeller, Dale A, Westerterp, Klaas R, Wong, William W, Speakman, John R, and Consortium§, IAEA DLW Database

Subjects
Aging, Nutrition, Adolescent, Adult, Aged, Aged, 80 and over, Basal Metabolism, Body Composition, Body Weight, Child, Child, Preschool, Energy Metabolism, Exercise, Female, Humans, Infant, Infant, Newborn, Male, Middle Aged, Pregnancy, Young Adult, IAEA DLW Database Consortium, General Science & Technology
Abstract

Total daily energy expenditure ("total expenditure") reflects daily energy needs and is a critical variable in human health and physiology, but its trajectory over the life course is poorly studied. We analyzed a large, diverse database of total expenditure measured by the doubly labeled water method for males and females aged 8 days to 95 years. Total expenditure increased with fat-free mass in a power-law manner, with four distinct life stages. Fat-free mass-adjusted expenditure accelerates rapidly in neonates to ~50% above adult values at ~1 year; declines slowly to adult levels by ~20 years; remains stable in adulthood (20 to 60 years), even during pregnancy; then declines in older adults. These changes shed light on human development and aging and should help shape nutrition and health strategies across the life span.

Published
2021

13. Transcriptome prediction performance across machine learning models and diverse ancestries

Author

Okoro, Paul C, Schubert, Ryan, Guo, Xiuqing, Johnson, W Craig, Rotter, Jerome I, Hoeschele, Ina, Liu, Yongmei, Im, Hae Kyung, Luke, Amy, Dugas, Lara R, and Wheeler, Heather E

Subjects
Biological Sciences, Genetics, Atherosclerosis, Networking and Information Technology R&D (NITRD), Prevention, Machine Learning and Artificial Intelligence, Cardiovascular
Abstract

Transcriptome prediction methods such as PrediXcan and FUSION have become popular in complex trait mapping. Most transcriptome prediction models have been trained in European populations using methods that make parametric linear assumptions like the elastic net (EN). To potentially further optimize imputation performance of gene expression across global populations, we built transcriptome prediction models using both linear and non-linear machine learning (ML) algorithms and evaluated their performance in comparison to EN. We trained models using genotype and blood monocyte transcriptome data from the Multi-Ethnic Study of Atherosclerosis (MESA) comprising individuals of African, Hispanic, and European ancestries and tested them using genotype and whole-blood transcriptome data from the Modeling the Epidemiology Transition Study (METS) comprising individuals of African ancestries. We show that the prediction performance is highest when the training and the testing population share similar ancestries regardless of the prediction algorithm used. While EN generally outperformed random forest (RF), support vector regression (SVR), and K nearest neighbor (KNN), we found that RF outperformed EN for some genes, particularly between disparate ancestries, suggesting potential robustness and reduced variability of RF imputation performance across global populations. When applied to a high-density lipoprotein (HDL) phenotype, we show including RF prediction models in PrediXcan revealed potential gene associations missed by EN models. Therefore, by integrating other ML modeling into PrediXcan and diversifying our training populations to include more global ancestries, we may uncover new genes associated with complex traits.

Published
2021

14. Total daily energy expenditure has declined over the past three decades due to declining basal expenditure, not reduced activity expenditure

Author

Speakman, John R., de Jong, Jasper M. A., Sinha, Srishti, Westerterp, Klaas R., Yamada, Yosuke, Sagayama, Hiroyuki, Ainslie, Philip N., Anderson, Liam J., Arab, Lenore, Bedu-Addo, Kweku, Blanc, Stephane, Bonomi, Alberto G., Bovet, Pascal, Brage, Soren, Buchowski, Maciej S., Butte, Nancy F., Camps, Stefan G.J.A., Cooper, Jamie A., Cooper, Richard, Das, Sai Krupa, Davies, Peter S. W., Dugas, Lara R., Ekelund, Ulf, Entringer, Sonja, Forrester, Terrence, Fudge, Barry W., Gillingham, Melanie, Ghosh, Santu, Goris, Annelies H., Gurven, Michael, Halsey, Lewis G., Hambly, Catherine, Haisma, Hinke H., Hoffman, Daniel, Hu, Sumei, Joosen, Annemiek M., Kaplan, Jennifer L., Katzmarzyk, Peter, Kraus, William E., Kushner, Robert F., Leonard, William R., Löf, Marie, Martin, Corby K., Matsiko, Eric, Medin, Anine C., Meijer, Erwin P., Neuhouser, Marian L., Nicklas, Theresa A., Ojiambo, Robert M., Pietiläinen, Kirsi H., Plange-Rhule, Jacob, Plasqui, Guy, Prentice, Ross L., Racette, Susan B., Raichlen, David A., Ravussin, Eric, Redman, Leanne M., Roberts, Susan B., Rudolph, Michael C., Sardinha, Luis B., Schuit, Albertine J., Silva, Analiza M., Stice, Eric, Urlacher, Samuel S., Valenti, Giulio, Van Etten, Ludo M., Van Mil, Edgar A., Wood, Brian M., Yanovski, Jack A., Yoshida, Tsukasa, Zhang, Xueying, Murphy-Alford, Alexia J., Loechl, Cornelia U., Kurpad, Anura, Luke, Amy H., Pontzer, Herman, Rodeheffer, Matthew S., Rood, Jennifer, Schoeller, Dale A., and Wong, William W.

Published
2023
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15. A standard calculation methodology for human doubly labeled water studies.

Author

Speakman, John R, Yamada, Yosuke, Sagayama, Hiroyuki, Berman, Elena SF, Ainslie, Philip N, Andersen, Lene F, Anderson, Liam J, Arab, Lenore, Baddou, Issaad, Bedu-Addo, Kweku, Blaak, Ellen E, Blanc, Stephane, Bonomi, Alberto G, Bouten, Carlijn VC, Bovet, Pascal, Buchowski, Maciej S, Butte, Nancy F, Camps, Stefan GJA, Close, Graeme L, Cooper, Jamie A, Creasy, Seth A, Das, Sai Krupa, Cooper, Richard, Dugas, Lara R, Ebbeling, Cara B, Ekelund, Ulf, Entringer, Sonja, Forrester, Terrence, Fudge, Barry W, Goris, Annelies H, Gurven, Michael, Hambly, Catherine, El Hamdouchi, Asmaa, Hoos, Marije B, Hu, Sumei, Joonas, Noorjehan, Joosen, Annemiek M, Katzmarzyk, Peter, Kempen, Kitty P, Kimura, Misaka, Kraus, William E, Kushner, Robert F, Lambert, Estelle V, Leonard, William R, Lessan, Nader, Ludwig, David S, Martin, Corby K, Medin, Anine C, Meijer, Erwin P, Morehen, James C, Morton, James P, Neuhouser, Marian L, Nicklas, Theresa A, Ojiambo, Robert M, Pietiläinen, Kirsi H, Pitsiladis, Yannis P, Plange-Rhule, Jacob, Plasqui, Guy, Prentice, Ross L, Rabinovich, Roberto A, Racette, Susan B, Raichlen, David A, Ravussin, Eric, Reynolds, Rebecca M, Roberts, Susan B, Schuit, Albertine J, Sjödin, Anders M, Stice, Eric, Urlacher, Samuel S, Valenti, Giulio, Van Etten, Ludo M, Van Mil, Edgar A, Wells, Jonathan CK, Wilson, George, Wood, Brian M, Yanovski, Jack, Yoshida, Tsukasa, Zhang, Xueying, Murphy-Alford, Alexia J, Loechl, Cornelia U, Melanson, Edward L, Luke, Amy H, Pontzer, Herman, Rood, Jennifer, Schoeller, Dale A, Westerterp, Klaas R, Wong, William W, and IAEA DLW database group

Subjects
IAEA DLW database group, doubly labeled water, free-living, total energy expenditure, validation
Abstract

The doubly labeled water (DLW) method measures total energy expenditure (TEE) in free-living subjects. Several equations are used to convert isotopic data into TEE. Using the International Atomic Energy Agency (IAEA) DLW database (5,756 measurements of adults and children), we show considerable variability is introduced by different equations. The estimated rCO2 is sensitive to the dilution space ratio (DSR) of the two isotopes. Based on performance in validation studies, we propose a new equation based on a new estimate of the mean DSR. The DSR is lower at low body masses (

Published
2021

16. Gut microbiota alterations in response to sleep length among African-origin adults.

Author

Fei, Na, Choo-Kang, Candice, Reutrakul, Sirimon, Crowley, Stephanie J, Rae, Dale, Bedu-Addo, Kweku, Plange-Rhule, Jacob, Forrester, Terrence E, Lambert, Estelle V, Bovet, Pascal, Riesen, Walter, Korte, Wolfgang, Luke, Amy, Layden, Brian T, Gilbert, Jack A, and Dugas, Lara R

Subjects
Clinical Research, Aging, Sleep Research, Genetics, Neurosciences, 2.1 Biological and endogenous factors, General Science & Technology
Abstract

Sleep disorders are increasingly being characterized in modern society as contributing to a host of serious medical problems, including obesity and metabolic syndrome. Changes to the microbial community in the human gut have been reportedly associated with many of these cardiometabolic outcomes. In this study, we investigated the impact of sleep length on the gut microbiota in a large cohort of 655 participants of African descent, aged 25-45, from Ghana, South Africa (SA), Jamaica, and the United States (US). The sleep duration was self-reported via a questionnaire. Participants were classified into 3 sleep groups: short (

Published
2021

17. Fecal transplantation and butyrate improve neuropathic pain, modify immune cell profile, and gene expression in the PNS of obese mice

Author

Bonomo, Raiza R, Cook, Tyler M, Gavini, Chaitanya K, White, Chelsea R, Jones, Jacob R, Bovo, Elisa, Zima, Aleksey V, Brown, Isabelle A, Dugas, Lara R, Zakharian, Eleonora, Aubert, Gregory, Alonzo, Francis, Calcutt, Nigel A, and Mansuy-Aubert, Virginie

Subjects
Digestive Diseases, Neurodegenerative, Nutrition, Peripheral Neuropathy, Chronic Pain, Obesity, Prevention, Neurosciences, Pain Research, 2.1 Biological and endogenous factors, Aetiology, Neurological, Oral and gastrointestinal, Animals, Butyrates, Diet, High-Fat, Diet, Western, Fatty Acids, Volatile, Fecal Microbiota Transplantation, Gastrointestinal Microbiome, Gene Expression, Insulin Resistance, Lipid Metabolism, Male, Mice, Mice, Inbred C57BL, Mice, Obese, Microbiota, Neuralgia, Peripheral Nervous System, Peripheral Nervous System Diseases, obesity, neuropathy, microbiome
Abstract

Obesity affects over 2 billion people worldwide and is accompanied by peripheral neuropathy (PN) and an associated poorer quality of life. Despite high prevalence, the molecular mechanisms underlying the painful manifestations of PN are poorly understood, and therapies are restricted to use of painkillers or other drugs that do not address the underlying disease. Studies have demonstrated that the gut microbiome is linked to metabolic health and its alteration is associated with many diseases, including obesity. Pathologic changes to the gut microbiome have recently been linked to somatosensory pain, but any relationships between gut microbiome and PN in obesity have yet to be explored. Our data show that mice fed a Western diet developed indices of PN that were attenuated by concurrent fecal microbiome transplantation (FMT). In addition, we observed changes in expression of genes involved in lipid metabolism and calcium handling in cells of the peripheral nerve system (PNS). FMT also induced changes in the immune cell populations of the PNS. There was a correlation between an increase in the circulating short-chain fatty acid butyrate and pain improvement following FMT. Additionally, butyrate modulated gene expression and immune cells in the PNS. Circulating butyrate was also negatively correlated with distal pain in 29 participants with varied body mass index. Our data suggest that the metabolite butyrate, secreted by the gut microbiome, underlies some of the effects of FMT. Targeting the gut microbiome, butyrate, and its consequences may represent novel viable approaches to prevent or relieve obesity-associated neuropathies.

Published
2020

18. Variability in energy expenditure is much greater in males than females

Author

Halsey, Lewis G., Careau, Vincent, Pontzer, Herman, Ainslie, Philip N., Andersen, Lene F., Anderson, Liam J., Arab, Lenore, Baddou, Issad, Bedu-Addo, Kweku, Blaak, Ellen E., Blanc, Stephane, Bonomi, Alberto G., Bouten, Carlijn V.C., Bovet, Pascal, Buchowski, Maciej S., Butte, Nancy F., Camps, Stefan G.J.A., Close, Graeme L., Cooper, Jamie A., Das, Sai Krupa, Cooper, Richard, Dugas, Lara R., Ekelund, Ulf, Entringer, Sonja, Forrester, Terrence, Fudge, Barry W., Goris, Annelies H., Gurven, Michael, Hambly, Catherine, Hamdouchi, Asmaa El, Hoos, Marije B., Hu, Sumei, Joonas, Noorjehan, Joosen, Annemiek M., Katzmarzyk, Peter, Kempen, Kitty P., Kimura, Misaka, Kraus, William E., Kushner, Robert F., Lambert, Estelle V., Leonard, William R., Lessan, Nader, Martin, Corby K., Medin, Anine C., Meijer, Erwin P., Morehen, James C., Morton, James P., Neuhouser, Marian L., Nicklas, Theresa A., Ojiambo, Robert M., Pietiläinen, Kirsi H., Pitsiladis, Yannis P., Plange-Rhule, Jacob, Plasqui, Guy, Prentice, Ross L., Rabinovich, Roberto A., Racette, Susan B., Raichlen, David A., Ravussin, Eric, Reynolds, Rebecca M., Roberts, Susan B., Schuit, Albertine J., Sjödin, Anders M., Stice, Eric, Urlacher, Samuel S., Valenti, Giulio, Van Etten, Ludo M., Van Mil, Edgar A., Wilson, George, Wood, Brian M., Yanovski, Jack, Yoshida, Tsukasa, Zhang, Xueying, Murphy-Alford, Alexia J., Loechl, Cornelia U., Luke, Amy H., Rood, Jennifer, Sagayama, Hiroyuki, Schoeller, Dale A., Westerterp, Klaas R., Wong, William W., Yamada, Yosuke, and Speakman, John R.

Published
2022
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19. Antibiotics prior to age 2 years have limited association with preschool growth trajectory

Author

Bailey, L. Charles, Bryan, Matthew, Maltenfort, Mitchell, Block, Jason P., Teneralli, Rachel, Lunsford, Douglas, Boone-Heinonen, Janne, Eneli, Ihuoma, Horgan, Casie E., Lin, Pi-I D., Reynolds, Juliane S., Solomonides, Anthony E., Janicke, David, Sturtevant, Jessica L., Toh, Sengwee, Taveras, Elsie, Appelhans, Bradley M., Arterburn, David, Daley, Matthew F., Dempsey, Amanda, Dugas, Lara R., Finkelstein, Jonathan, Fitzpatrick, Stephanie L., Goodman, Andrea, Gurka, Matthew J., Heerman, William J., Horberg, Michael, Hossain, Md Jobbayer, Hsia, Daniel S., Isasi, Carmen R., Kharbanda, Elyse O., Messito, Mary Jo, Murphy, Kathleen, O’Bryan, Kevin, Peay, Holly L., Prochaska, Micah T., Puro, Jon, Rayas, Maria, Rosenman, Marc B., Taylor, Bradley, VanWormer, Jeffrey J., Willis, Zachary, Yeramaneni, Samrat, and Forrest, Christopher B.

Published
2022
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20. The human microbiota is associated with cardiometabolic risk across the epidemiologic transition.

Author

Fei, Na, Bernabé, Beatriz Peñalver, Lie, Louise, Baghdan, Danny, Bedu-Addo, Kweku, Plange-Rhule, Jacob, Forrester, Terrence E, Lambert, Estelle V, Bovet, Pascal, Gottel, Neil, Riesen, Walter, Korte, Wolfgang, Luke, Amy, Kliethermes, Stephanie A, Layden, Brian T, Gilbert, Jack A, and Dugas, Lara R

Subjects
Mouth, Humans, Cardiovascular Diseases, Metabolic Diseases, Risk Factors, Adult, Middle Aged, South Africa, Ghana, Jamaica, United States, Female, Male, Waist Circumference, Gastrointestinal Microbiome, General Science & Technology
Abstract

Oral and fecal microbial biomarkers have previously been associated with cardiometabolic (CM) risk, however, no comprehensive attempt has been made to explore this association in minority populations or across different geographic regions. We characterized gut- and oral-associated microbiota and CM risk in 655 participants of African-origin, aged 25-45, from Ghana, South Africa, Jamaica, and the United States (US). CM risk was classified using the CM risk cut-points for elevated waist circumference, elevated blood pressure and elevated fasted blood glucose, low high-density lipoprotein (HDL), and elevated triglycerides. Gut-associated bacterial alpha diversity negatively correlated with elevated blood pressure and elevated fasted blood glucose. Similarly, gut bacterial beta diversity was also significantly differentiated by waist circumference, blood pressure, triglyceridemia and HDL-cholesterolemia. Notably, differences in inter- and intra-personal gut microbial diversity were geographic-region specific. Participants meeting the cut-points for 3 out of the 5 CM risk factors were significantly more enriched with Lachnospiraceae, and were significantly depleted of Clostridiaceae, Peptostreptococcaceae, and Prevotella. The predicted relative proportions of the genes involved in the pathways for lipopolysaccharides (LPS) and butyrate synthesis were also significantly differentiated by the CM risk phenotype, whereby genes involved in the butyrate synthesis via lysine, glutarate and 4-aminobutyrate/succinate pathways and LPS synthesis pathway were enriched in participants with greater CM risk. Furthermore, inter-individual oral microbiota diversity was also significantly associated with the CM risk factors, and oral-associated Streptococcus, Prevotella, and Veillonella were enriched in participants with 3 out of the 5 CM risk factors. We demonstrate that in a diverse cohort of African-origin adults, CM risk is significantly associated with reduced microbial diversity, and the enrichment of specific bacterial taxa and predicted functional traits in both gut and oral environments. As well as providing new insights into the associations between the gut and oral microbiota and CM risk, this study also highlights the potential for novel therapeutic discoveries which target the oral and gut microbiota in CM risk.

Published
2019

21. Gut microbiota, short chain fatty acids, and obesity across the epidemiologic transition: the METS-Microbiome study protocol

Author

Dugas, Lara R, Lie, Louise, Plange-Rhule, Jacob, Bedu-Addo, Kweku, Bovet, Pascal, Lambert, Estelle V, Forrester, Terrence E, Luke, Amy, Gilbert, Jack A, and Layden, Brian T

Subjects
Public Health, Health Sciences, Prevention, Obesity, Clinical Research, Nutrition, 2.1 Biological and endogenous factors, Aetiology, 2.4 Surveillance and distribution, Oral and gastrointestinal, Cardiovascular, Cancer, Stroke, Metabolic and endocrine, Adiposity, Adult, Africa, Body Weight, Environment, Epidemiologic Studies, Fatty Acids, Volatile, Feces, Female, Gastrointestinal Microbiome, Humans, Male, Microbiota, Prospective Studies, Research Design, Risk Factors, Weight Gain, Epidemiologic transition, Gut microbiota, Short chain fatty acids, Public Health and Health Services, Epidemiology, Health services and systems, Public health
Abstract

BackgroundWhile some of the variance observed in adiposity and weight change within populations can be accounted for by traditional risk factors, a new factor, the gut microbiota, has recently been associated with obesity. However, the causal mechanisms through which the gut microbiota and its metabolites, short chain fatty acids (SCFAs) influence obesity are unknown, as are the individual obesogenic effects of the individual SCFAs (butyrate, acetate and propionate). This study, METS-Microbiome, proposes to examine the influence of novel risk factors, the gut microbiota and SCFAs, on obesity, adiposity and weight change in an international established cohort spanning the epidemiologic transition.MethodsThe parent study; Modeling the Epidemiologic Transition Study (METS) is a well-established and ongoing prospective cohort study designed to assess the association between body composition, physical activity, and relative weight, weight gain and cardiometabolic disease risk in five diverse population-based samples in 2500 people of African descent. The cohort has been prospectively followed since 2009. Annual measures of obesity risk factors, including body composition, objectively measured physical activity and dietary intake, components which vary across the spectrum of social and economic development. In our new study; METS-Microbiome, in addition to continuing yearly measures of obesity risk, we will also measure gut microbiota and stool SCFAs in all contactable participants, and follow participants for a further 3 years, thus providing one of the largest gut microbiota population-based studies to date.DiscussionThis new study capitalizes upon an existing, extensively well described cohort of adults of African-origin, with significant variability as a result of the widespread geographic distributions, and therefore variation in the environmental covariate exposures. The METS-Microbiome study will substantially advance the understanding of the role gut microbiota and SCFAs play in the development of obesity and provide novel obesity therapeutic targets targeting SCFAs producing features of the gut microbiota.Trial registrationRegistered NCT03378765 Date first posted: December 20, 2017.

Published
2018

22. Gut microbial features can predict host phenotype response to protein deficiency

Author

Navarro, Guadalupe, Sharma, Anukriti, Dugas, Lara R, Forrester, Terrence, Gilbert, Jack A, and Layden, Brian T

Subjects
Medical Physiology, Biomedical and Clinical Sciences, Obesity, Nutrition, Aetiology, 2.1 Biological and endogenous factors, Oral and gastrointestinal, Zero Hunger, Animals, Gastrointestinal Microbiome, Male, Mice, Mice, Inbred C57BL, Nitrogen, Phenotype, Protein Deficiency, Gut microbiota, malnutrition, nitrogen balance, protein deficiency, Physiology, Clinical Sciences, Medical physiology
Abstract

Malnutrition remains a major health problem in low- and middle-income countries. During low protein intake,

Published
2018

23. Decreased microbial co-occurrence network stability and SCFA receptor level correlates with obesity in African-origin women.

Author

Dugas, Lara R, Bernabé, Beatriz Peñalver, Priyadarshini, Medha, Fei, Na, Park, Seo Jin, Brown, Laquita, Plange-Rhule, Jacob, Nelson, David, Toh, Evelyn C, Gao, Xiang, Dong, Qunfeng, Sun, Jun, Kliethermes, Stephanie, Gottel, Neil, Luke, Amy, Gilbert, Jack A, and Layden, Brian T

Subjects
Humans, Obesity, Fatty Acids, Volatile, Receptors, Cell Surface, Receptors, G-Protein-Coupled, Body Mass Index, Feeding Behavior, Adult, African Americans, South Africa, Ghana, Female, Adiposity, Diet, High-Fat, Gastrointestinal Microbiome, Fecal Microbiota Transplantation, Diet, High-Fat, Fatty Acids, Volatile, Receptors, Cell Surface, G-Protein-Coupled
Abstract

We compared the gut microbial populations in 100 women, from rural Ghana and urban US [50% lean (BMI

Published
2018

27. The Heat Is on: A Mixed-Method Examination of Eating Behavior and Executive Functions among Low Income Minority Girls during Summertime

Author

Egbert, Amy Heard, Bohnert, Amy M., Bates, Carolyn R., Loren, Dorothy M., Creber, Chloe, Rosania, Kimberly A., Ward, Amanda K., Dugas, Lara R., and Silton, Rebecca L.

Abstract

Despite evidence that youth gain weight disproportionately over the summer months, few studies examine contributing obesogenic behaviors. Utilizing a mixed-methods approach, this study examined associations between summertime dietary intake patterns and executive function among 79 low-income urban minority early adolescent girls (ages 9-13 years). Participants were interviewed via the multiple-pass 24-hour dietary recall method and completed individually administered executive function tasks. A subsample of 14 parents completed interviews to gather qualitative information about summertime eating patterns. Results suggested that participants consumed 25% to 35% more daily calories than recommended, and inhibition difficulties were associated with higher calorie and sugar-sweetened soft drink intake. In addition, over one third of participants were classified as nighttime eaters, and these participants had more difficulty with inhibition, even when accounting for sleep influences, and consumed more soft drinks than daytime eaters. Qualitative interviews consistently indicated that summertime changes food consumption as well as the timing and structure of the meals.

Published
2019
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28. The obese gut microbiome across the epidemiologic transition

Author

Dugas, Lara R, Fuller, Miles, Gilbert, Jack, and Layden, Brian T

Subjects
Epidemiology, Health Sciences, Prevention, Genetics, Nutrition, Digestive Diseases, Obesity, Aetiology, 2.1 Biological and endogenous factors, Oral and gastrointestinal, Gut microbiome, Geographical differences, Public Health and Health Services
Abstract

The obesity epidemic has emerged over the past few decades and is thought to be a result of both genetic and environmental factors. A newly identified factor, the gut microbiota, which is a bacterial ecosystem residing within the gastrointestinal tract of humans, has now been implicated in the obesity epidemic. Importantly, this bacterial community is impacted by external environmental factors through a variety of undefined mechanisms. We focus this review on how the external environment may impact the gut microbiota by considering, the host's geographic location 'human geography', and behavioral factors (diet and physical activity). Moreover, we explore the relationship between the gut microbiota and obesity with these external factors. And finally, we highlight here how an epidemiologic model can be utilized to elucidate causal relationships between the gut microbiota and external environment independently and collectively, and how this will help further define this important new factor in the obesity epidemic.

Published
2016

31. PCORnet Antibiotics and Childhood Growth Study: Process for Cohort Creation and Cohort Description

Author

Adams, William, Appelhans, Brad, Brickman, Andrew, Bian, Jiang, Daley, Matthew F., Davidson, Arthur, Dempsey, Amanda, Dugas, Lara R., Eneli, Ihuoma, Fitzpatrick, Stephanie L., Heerman, William, Horberg, Michael, Hsia, Daniel S., Ingber, Jenny, Isasi, Carmen R., Janicke, David M., Kane, Doug, Kharbanda, Elyse, Meltzer, David, Messito, Mary Jo, Nadkarni, Prakash, O'Bryan, Kevin, Peay, Holly, Puro, Jon, Ranade, Daksha, Rao, Goutham, Tirado-Ramos, Alfredo, Rayas, Maria, Razzaghi, Hanieh, Ricket, Iben M., Rosenman, Marc, Siegel, Robert M., Solomonides, Tony, Taveras, Elsie M., Taylor, Bradley, Tolia, Veeral, Willis, Zachary, VanWormer, Jeffrey, Wysocki, Tim, Zhou, Xiaobo, Block, Jason P., Bailey, L. Charles, Gillman, Matthew W., Lunsford, Douglas, Boone-Heinonen, Janne, Cleveland, Lauren P., Finkelstein, Jonathan, Horgan, Casie E., Jay, Melanie, Reynolds, Juliane S., Sturtevant, Jessica L., and Forrest, Christopher B.

Published
2018
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35. miR‐10b‐5p rescues leaky gut linked with gastrointestinal dysmotility and diabetes

Author

Zogg, Hannah, primary, Singh, Rajan, additional, Ha, Se Eun, additional, Wang, Zhuqing, additional, Jin, Byungchang, additional, Ha, Mariah, additional, Dafinone, Mirabel, additional, Batalon, Tylar, additional, Hoberg, Nicholas, additional, Poudrier, Sandra, additional, Nguyen, Linda, additional, Yan, Wei, additional, Layden, Brian T., additional, Dugas, Lara R., additional, Sanders, Kenton M., additional, and Ro, Seungil, additional

Published
2023
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40. Greater male variability in daily energy expenditure develops through puberty

Author

Halsey, Lewis G., Careau, Vincent, Ainslie, Philip N., Alemán-Mateo, Heliodoro, Andersen, Lene F., Anderson, Liam J., Arab, Leonore, Baddou, Issad, Bandini, Linda, Bedu-Addo, Kweku, Blaak, Ellen E., Blanc, Stephane, Bonomi, Alberto G., Bouten, Carlijn V.C., Bovet, Pascal, Brage, Soren, Buchowski, Maciej S., Butte, Nancy, Camps, Stephan G., Casper, Regian, Close, Graeme L., Colbert, Lisa H., Cooper, Jamie A., Cooper, Richard, Dabare, Prasangi, Das, Sai Krupa, Davies, Peter S.W., Deb, Sanjoy, Nyström, Christine Delisle, Dietz, William, Dugas, Lara R., Eaton, Simon, Ekelund, Ulf, Hamdouchi, Asmaa El, Entringer, Sonja, Forrester, Terrence, Fudge, Barry W., Gillingham, Melanie, Goris, Annelies H., Gurven, Michael, Haisma, Hinke, Hambly, Catherine, Hoffman, Daniel, Hoos, Marije B., Hu, Sumei, Joonas, Noorjehan, Joosen, Annemiek, Katzmarzyk, Peter, Matsiko, Eric, Meijer, Gerwin A., Halsey, Lewis G., Careau, Vincent, Ainslie, Philip N., Alemán-Mateo, Heliodoro, Andersen, Lene F., Anderson, Liam J., Arab, Leonore, Baddou, Issad, Bandini, Linda, Bedu-Addo, Kweku, Blaak, Ellen E., Blanc, Stephane, Bonomi, Alberto G., Bouten, Carlijn V.C., Bovet, Pascal, Brage, Soren, Buchowski, Maciej S., Butte, Nancy, Camps, Stephan G., Casper, Regian, Close, Graeme L., Colbert, Lisa H., Cooper, Jamie A., Cooper, Richard, Dabare, Prasangi, Das, Sai Krupa, Davies, Peter S.W., Deb, Sanjoy, Nyström, Christine Delisle, Dietz, William, Dugas, Lara R., Eaton, Simon, Ekelund, Ulf, Hamdouchi, Asmaa El, Entringer, Sonja, Forrester, Terrence, Fudge, Barry W., Gillingham, Melanie, Goris, Annelies H., Gurven, Michael, Haisma, Hinke, Hambly, Catherine, Hoffman, Daniel, Hoos, Marije B., Hu, Sumei, Joonas, Noorjehan, Joosen, Annemiek, Katzmarzyk, Peter, Matsiko, Eric, and Meijer, Gerwin A.

Abstract

There is considerably greater variation in metabolic rates between men than between women, in terms of basal, activity and total (daily) energy expenditure (EE). One possible explanation is that EE is associated with male sexual characteristics (which are known to vary more than other traits) such as musculature and athletic capacity. Such traits might be predicted to be most prominent during periods of adolescence and young adulthood, when sexual behaviour develops and peaks. We tested this hypothesis on a large dataset by comparing the amount of male variation and female variation in total EE, activity EE and basal EE, at different life stages, along with several morphological traits: height, fat free mass and fat mass. Total EE, and to some degree also activity EE, exhibit considerable greater male variation (GMV) in young adults, and then a decreasing GMV in progressively older individuals. Arguably, basal EE, and also morphometrics, do not exhibit this pattern. These findings suggest that single male sexual characteristics may not exhibit peak GMV in young adulthood, however total and perhaps also activity EE, associated with many morphological and physiological traits combined, do exhibit GMV most prominently during the reproductive life stages.

Published
2023

42. Gut microbiota and fecal short chain fatty acids differ with adiposity and country of origin: The METS-Microbiome Study

Author

Ecklu-Mensah, Gertrude, primary, Choo-Kang, Candice, additional, Maseng, Maria G, additional, Donato, Sonya, additional, Bovet, Pascal, additional, Bedu-Addo, Kweku, additional, Plange-Rhule, Jacob, additional, Forrester, Terrence E, additional, Lambert, Estelle V, additional, Rae, Dale, additional, Luke, Amy, additional, Layden, Brian T, additional, O'Keefe, Stephen, additional, Gilbert, Jack A, additional, and Dugas, Lara R, additional

Published
2023
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45. Metabolic acceleration and the evolution of human brain size and life history

Author

Pontzer, Herman, Brown, Mary H., Raichlen, David A., Dunsworth, Holly, Hare, Brian, Walker, Kara, Luke, Amy, Dugas, Lara R., Durazo-Arvizu, Ramon, Schoeller, Dale, Plange-Rhule, Jacob, Bovet, Pascal, Forrester, Terrence E., Lambert, Estelle V., Thompson, Melissa Emery, Shumaker, Robert W., and Ross, Stephen R.

Subjects
Natural history, Brain -- Natural history, Metabolism -- Natural history
Abstract

Humans are distinguished from the other living apes in having larger brains and an unusual life history that combines high reproductive output with slow childhood growth and exceptional longevity (1). [...]

Published
2016

49. Total energy expenditure is repeatable in adults but not associated with short-term changes in body composition

Author

IAEA DLW Database Consortium, Rimbach, Rebecca, Yamada, Yosuke, Sagayama, Hiroyuki, Ainslie, Philip N., Anderson, Lene F., Anderson, Liam J., Arab, Lenore, Baddou, Issaad, Bedu-addo, Kweku, Blaak, Ellen E., Blanc, Stephane, Bonomi, Alberto G., Bouten, Carlijn V. C., Bovet, Pascal, Buchowski, Maciej S., Butte, Nancy F., Camps, Stefan G. J. A., Close, Graeme L., Cooper, Jamie A., Das, Sai Krupa, Dugas, Lara R., Ekelund, Ulf, Entringer, Sonja, Forrester, Terrence, Fudge, Barry W., Goris, Annelies H., Gurven, Michael, Hambly, Catherine, El Hamdouchi, Asmaa, Hoos, Marije B., Hu, Sumei, Joonas, Noorjehan, Joosen, Annemiek M., Katzmarzyk, Peter, Kempen, Kitty P., Kimura, Misaka, Kraus, William E., Kushner, Robert F., Lambert, Estelle V., Leonard, William R., Lessan, Nader, Martin, Corby K., Medin, Anine C., Meijer, Erwin P., Morehen, James C., Morton, James P., Neuhouser, Marian L., Nicklas, Theresa A., Ojiambo, Robert M., Pietiläinen, Kirsi H., Schuit, Jantine, IAEA DLW Database Consortium, Rimbach, Rebecca, Yamada, Yosuke, Sagayama, Hiroyuki, Ainslie, Philip N., Anderson, Lene F., Anderson, Liam J., Arab, Lenore, Baddou, Issaad, Bedu-addo, Kweku, Blaak, Ellen E., Blanc, Stephane, Bonomi, Alberto G., Bouten, Carlijn V. C., Bovet, Pascal, Buchowski, Maciej S., Butte, Nancy F., Camps, Stefan G. J. A., Close, Graeme L., Cooper, Jamie A., Das, Sai Krupa, Dugas, Lara R., Ekelund, Ulf, Entringer, Sonja, Forrester, Terrence, Fudge, Barry W., Goris, Annelies H., Gurven, Michael, Hambly, Catherine, El Hamdouchi, Asmaa, Hoos, Marije B., Hu, Sumei, Joonas, Noorjehan, Joosen, Annemiek M., Katzmarzyk, Peter, Kempen, Kitty P., Kimura, Misaka, Kraus, William E., Kushner, Robert F., Lambert, Estelle V., Leonard, William R., Lessan, Nader, Martin, Corby K., Medin, Anine C., Meijer, Erwin P., Morehen, James C., Morton, James P., Neuhouser, Marian L., Nicklas, Theresa A., Ojiambo, Robert M., Pietiläinen, Kirsi H., and Schuit, Jantine

Abstract

Low total energy expenditure (TEE, MJ/d) has been a hypothesized risk factor for weight gain, but repeatability of TEE, a critical variable in longitudinal studies of energy balance, is understudied. We examine repeated doubly labeled water (DLW) measurements of TEE in 348 adults and 47 children from the IAEA DLW Database (mean ± SD time interval: 1.9 ± 2.9 y) to assess repeatability of TEE, and to examine if TEE adjusted for age, sex, fat-free mass, and fat mass is associated with changes in weight or body composition. Here, we report that repeatability of TEE is high for adults, but not children. Bivariate Bayesian mixed models show no among or within-individual correlation between body composition (fat mass or percentage) and unadjusted TEE in adults. For adults aged 20–60 y (N = 267; time interval: 7.4 ± 12.2 weeks), increases in adjusted TEE are associated with weight gain but not with changes in body composition; results are similar for subjects with intervals >4 weeks (N = 53; 29.1 ± 12.8 weeks). This suggests low TEE is not a risk factor for, and high TEE is not protective against, weight or body fat gain over the time intervals tested.

Published
2022

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