773 results on '"Blaak, Ellen E"'
Search Results
2. Leveraging continuous glucose monitoring for personalized modeling of insulin-regulated glucose metabolism
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Erdős, Balázs, O’Donovan, Shauna D., Adriaens, Michiel E., Gijbels, Anouk, Trouwborst, Inez, Jardon, Kelly M., Goossens, Gijs H., Afman, Lydia A., Blaak, Ellen E., van Riel, Natal A. W., and Arts, Ilja C. W.
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- 2024
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3. Hepatic insulin resistance and muscle insulin resistance are characterized by distinct postprandial plasma metabolite profiles: a cross-sectional study
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Gijbels, Anouk, Erdős, Balázs, Trouwborst, Inez, Jardon, Kelly M., Adriaens, Michiel E., Goossens, Gijs H., Blaak, Ellen E., Feskens, Edith J. M., and Afman, Lydia A.
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- 2024
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4. Variation in human water turnover associated with environmental and lifestyle factors
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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
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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.
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- 2022
5. Variability in energy expenditure is much greater in males than females
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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
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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.
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- 2022
6. The adipocyte apolipoprotein M is negatively associated with inflammation
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Frances, Laurie, Croyal, Mikael, Pittet, Soline, Da Costa Fernandes, Léa, Boulaire, Milan, Monbrun, Laurent, Blaak, Ellen E., Christoffersen, Christina, Moro, Cédric, Tavernier, Geneviève, and Viguerie, Nathalie
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- 2024
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7. Human total, basal and activity energy expenditures are independent of ambient environmental temperature
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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
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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
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- 2022
8. Total energy expenditure is repeatable in adults but not associated with short-term changes in body composition
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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
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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.
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- 2022
9. Physical activity and fat-free mass during growth and in later life
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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
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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
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- 2021
10. Energy compensation and adiposity in humans
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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
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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.
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- 2021
11. An integrated single cell and spatial transcriptomic map of human white adipose tissue
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Massier, Lucas, Jalkanen, Jutta, Elmastas, Merve, Zhong, Jiawei, Wang, Tongtong, Nono Nankam, Pamela A., Frendo-Cumbo, Scott, Bäckdahl, Jesper, Subramanian, Narmadha, Sekine, Takuya, Kerr, Alastair G., Tseng, Ben T. P., Laurencikiene, Jurga, Buggert, Marcus, Lourda, Magda, Kublickiene, Karolina, Bhalla, Nayanika, Andersson, Alma, Valsesia, Armand, Astrup, Arne, Blaak, Ellen E., Ståhl, Patrik L., Viguerie, Nathalie, Langin, Dominique, Wolfrum, Christian, Blüher, Matthias, Rydén, Mikael, and Mejhert, Niklas
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- 2023
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12. Daily energy expenditure through the human life course
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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
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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.
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- 2021
13. A standard calculation methodology for human doubly labeled water studies.
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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
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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 (
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- 2021
14. Goals in Nutrition Science 2020-2025
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Bassaganya-Riera, Josep, Berry, Elliot M, Blaak, Ellen E, Burlingame, Barbara, le Coutre, Johannes, van Eden, Willem, El-Sohemy, Ahmed, German, J Bruce, Knorr, Dietrich, Lacroix, Christophe, Muscaritoli, Maurizio, Nieman, David C, Rychlik, Michael, Scholey, Andrew, and Serafini, Mauro
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Prevention ,Nutrition ,Zero Hunger ,Good Health and Well Being ,technology ,health ,food system ,sustainability ,nutrition sciences ,Agricultural Biotechnology ,Nutrition and Dietetics - Abstract
Five years ago, with the editorial board of Frontiers in Nutrition, we took a leap of faith to outline the Goals for Nutrition Science - the way we see it (1). Now, in 2020, we can put ourselves to the test and take a look back. Without a doubt we got it right with several of the key directions. To name a few, Sustainable Development Goals (SDGs) for Food and Nutrition are part of the global public agenda, and the SDGs contribute to the structuring of international science and research. Nutritional Science has become a critical element in strengthening work on the SDGs, and the development of appropriate methodologies is built on the groundwork of acquiring and analyzing big datasets. Investigation of the Human Microbiome is providing novel insight on the interrelationship between nutrition, the immune system and disease. Finally, with an advanced definition of the gut-brain-axis we are getting a glimpse into the potential for Nutrition and Brain Health. Various milestones have been achieved, and any look into the future will have to consider the lessons learned from Covid-19 and the sobering awareness about the frailty of our food systems in ensuring global food security. With a view into the coming 5 years from 2020 to 2025, the editorial board has taken a slightly different approach as compared to the previous Goals article. A mind map has been created to outline the key topics in nutrition science. Not surprisingly, when looking ahead, the majority of scientific investigation required will be in the areas of health and sustainability. Johannes le Coutre, Field Chief Editor, Frontiers in Nutrition.
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- 2021
15. Goals in Nutrition Science 2020-2025.
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Bassaganya-Riera, Josep, Berry, Elliot M, Blaak, Ellen E, Burlingame, Barbara, le Coutre, Johannes, van Eden, Willem, El-Sohemy, Ahmed, German, J Bruce, Knorr, Dietrich, Lacroix, Christophe, Muscaritoli, Maurizio, Nieman, David C, Rychlik, Michael, Scholey, Andrew, and Serafini, Mauro
- Subjects
food system ,health ,nutrition sciences ,sustainability ,technology ,Agricultural Biotechnology ,Nutrition and Dietetics - Abstract
Five years ago, with the editorial board of Frontiers in Nutrition, we took a leap of faith to outline the Goals for Nutrition Science - the way we see it (1). Now, in 2020, we can put ourselves to the test and take a look back. Without a doubt we got it right with several of the key directions. To name a few, Sustainable Development Goals (SDGs) for Food and Nutrition are part of the global public agenda, and the SDGs contribute to the structuring of international science and research. Nutritional Science has become a critical element in strengthening work on the SDGs, and the development of appropriate methodologies is built on the groundwork of acquiring and analyzing big datasets. Investigation of the Human Microbiome is providing novel insight on the interrelationship between nutrition, the immune system and disease. Finally, with an advanced definition of the gut-brain-axis we are getting a glimpse into the potential for Nutrition and Brain Health. Various milestones have been achieved, and any look into the future will have to consider the lessons learned from Covid-19 and the sobering awareness about the frailty of our food systems in ensuring global food security. With a view into the coming 5 years from 2020 to 2025, the editorial board has taken a slightly different approach as compared to the previous Goals article. A mind map has been created to outline the key topics in nutrition science. Not surprisingly, when looking ahead, the majority of scientific investigation required will be in the areas of health and sustainability. Johannes le Coutre, Field Chief Editor, Frontiers in Nutrition.
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- 2020
16. Variability in energy expenditure is much greater in males than females
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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.
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- 2022
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17. Health Effects of Increasing Protein Intake Above the Current Population Reference Intake in Older Adults: A Systematic Review of the Health Council of the Netherlands
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Hengeveld, Linda M, de Goede, Janette, Afman, Lydia A, Bakker, Stephan J L, Beulens, Joline W J, Blaak, Ellen E, Boersma, Eric, Geleijnse, Johanna M, van Goudoever, Johannes (Hans) B, Hopman, Maria T E, Iestra, Jolein A, Kremers, Stef P J, Mensink, Ronald P, de Roos, Nicole M, Stehouwer, Coen D A, Verkaik-Kloosterman, Janneke, de Vet, Emely, and Visser, Marjolein
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- 2022
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18. Dietary protein and the glycemic index handle insulin resistance within a nutritional program for avoiding weight regain after energy-restricted induced weight loss
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Vidal-Ostos, Fernando, Ramos-Lopez, Omar, Jebb, Susan A., Papadaki, Angeliki, Pfeiffer, Andreas F. H., Handjieva-Darlenska, Teodora, Kunešová, Marie, Blaak, Ellen E., Astrup, Arne, and Martinez, J. Alfredo
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- 2022
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19. Mild intermittent hypoxia exposure induces metabolic and molecular adaptations in men with obesity
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van Meijel, Rens L.J., Vogel, Max A.A., Jocken, Johan W.E., Vliex, Lars M.M., Smeets, Joey S.J., Hoebers, Nicole, Hoeks, Joris, Essers, Yvonne, Schoffelen, Paul F.M., Sell, Henrike, Kersten, Sander, M.A. Rouschop, Kasper, Blaak, Ellen E., and Goossens, Gijs H.
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- 2021
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20. Abdominal and gluteofemoral fat depots show opposing associations with postprandial lipemia
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Christiansen, Malene R, Ureña, Mario G, Borisevich, Dmitrii, Grarup, Niels, Martínez, J Alfredo, Oppert, Jean-Michel, Sørensen, Thorkild IA, Hansen, Torben, Blaak, Ellen E, and Kilpeläinen, Tuomas O
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- 2021
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21. Fasting and postprandial plasma metabolite responses to a 12-wk dietary intervention in tissue-specific insulin resistance : a secondary analysis of the PERSonalized glucose Optimization through Nutritional intervention (PERSON) randomized trial
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Gijbels, Anouk, Jardon, Kelly M., Trouwborst, Inez, Manusama, Koen C.M., Goossens, Gijs H., Blaak, Ellen E., Feskens, Edith J.M., Afman, Lydia A., Gijbels, Anouk, Jardon, Kelly M., Trouwborst, Inez, Manusama, Koen C.M., Goossens, Gijs H., Blaak, Ellen E., Feskens, Edith J.M., and Afman, Lydia A.
- Abstract
Background: We previously showed that dietary intervention effects on cardiometabolic health were driven by tissue-specific insulin resistance (IR) phenotype: individuals with predominant muscle IR (MIR) benefited more from a low-fat, high-protein, and high-fiber (LFHP) diet, whereas individuals with predominant liver insulin resistance (LIR) benefited more from a high-monounsaturated fatty acid (HMUFA) diet. Objectives: To further characterize the effects of LFHP and HMUFA diets and their interaction with tissue-specific IR, we investigated dietary intervention effects on fasting and postprandial plasma metabolite profile. Methods: Adults with MIR or LIR (40–75 y, BMI 25–40 kg/m2) were randomly assigned to a 12-wk HMUFA or LFHP diet (n = 242). After the exclusion of statin use, 214 participants were included in this prespecified secondary analysis. Plasma samples were collected before (T = 0) and after (T = 30, 60, 120, and 240 min) a high-fat mixed meal for quantification of 247 metabolite measures using nuclear magnetic resonance spectroscopy. Results: A larger reduction in fasting VLDL-triacylglycerol (TAG) and VLDL particle size was observed in individuals with MIR following the LFHP diet and those with LIR following the HMUFA diet, although no longer statistically significant after false discovery rate (FDR) adjustment. No IR phenotype-by-diet interactions were found for postprandial plasma metabolites assessed as total area under the curve (tAUC). Irrespective of IR phenotype, the LFHP diet induced greater reductions in postprandial plasma tAUC of the larger VLDL particles and small HDL particles, and TAG content in most VLDL subclasses and the smaller LDL and HDL subclasses (for example, VLDL-TAG tAUC standardized mean change [95% CI] LFHP = −0.29 [−0.43, −0.16] compared with HMUFA = −0.04 [−0.16, 0.09]; FDR-adjusted P for diet × time = 0.041). Conclusions: Diet effects on plasma metabolite profiles were more pronounced than phenotype-by-diet interactions. A
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- 2024
22. Intestinal gases as a non-invasive measurement of microbial fermentation and host health.
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Larik, Gillian N.F., Canfora, Emanuel E., van Schothorst, Evert M., and Blaak, Ellen E.
- Abstract
Microbial fermentation and associated products provide insights into the gut microbiota-host relationship. Here, we propose using improved technologies that allow non-invasive, real-time measurements of intestinal gases as a metric for microbial fermentation. This approach has the potential to provide a basis for personalized interventions that improve host metabolic health. [ABSTRACT FROM AUTHOR]
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- 2024
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23. Plasma cathepsin D activity is negatively associated with hepatic insulin sensitivity in overweight and obese humans
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Ding, Lingling, Goossens, Gijs H., Oligschlaeger, Yvonne, Houben, Tom, Blaak, Ellen E., and Shiri-Sverdlov, Ronit
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- 2020
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24. An interferon-related signature characterizes the whole blood transcriptome profile of insulin-resistant individuals—the CODAM study
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Kalafati, Marianthi, Kutmon, Martina, Evelo, Chris T., van der Kallen, Carla J. H., Schalkwijk, Casper G., Stehouwer, Coen D. A., Consortium, B. I. O. S., Blaak, Ellen E., van Greevenbroek, Marleen M. J., and Adriaens, Michiel
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- 2021
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25. Before the heart attack
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Blaak, Ellen E. and de Vos, Willem M.
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- 2022
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26. Fetuin B in white adipose tissue induces inflammation and is associated with peripheral insulin resistance in mice and humans
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Pasmans, Kenneth, primary, Goossens, Gijs H., additional, Groenhuijzen, Evi, additional, Kemper, Esther J., additional, Reijnders, Dorien, additional, Most, Jasper, additional, Blaak, Ellen E., additional, Watt, Matthew J., additional, and Meex, Ruth C. R., additional
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- 2023
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27. Effects of alpha-glucosidase-inhibiting drugs on acute postprandial glucose and insulin responses: a systematic review and meta-analysis
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Alssema, Marjan, Ruijgrok, Carolien, Blaak, Ellen E., Egli, Léonie, Dussort, Pierre, Vinoy, Sophie, Dekker, Jacqueline M., and Denise Robertson, M.
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- 2021
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28. Author Correction: Before the heart attack
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Blaak, Ellen E. and de Vos, Willem M.
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- 2022
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29. Plasma lipid profiling of tissue-specific insulin resistance in human obesity
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van der Kolk, Birgitta W., Vogelzangs, Nicole, Jocken, Johan W. E., Valsesia, Armand, Hankemeier, Thomas, Astrup, Arne, Saris, Wim H. M., Arts, Ilja C. W., van Greevenbroek, Marleen M. J., Blaak, Ellen E., and the DiOGenes consortium
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- 2019
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30. Quantifying postprandial glucose responses using a hybrid modeling approach: Combining mechanistic and data-driven models in The Maastricht Study
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Erdős, Balázs, primary, van Sloun, Bart, additional, Goossens, Gijs H., additional, O’Donovan, Shauna D., additional, de Galan, Bastiaan E., additional, van Greevenbroek, Marleen M. J., additional, Stehouwer, Coen D. A., additional, Schram, Miranda T., additional, Blaak, Ellen E., additional, Adriaens, Michiel E., additional, van Riel, Natal A. W., additional, and Arts, Ilja C. W., additional
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- 2023
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31. 2′-fucosyllactose alone or combined with resistant starch increases circulating short-chain fatty acids in lean men and men with prediabetes and obesity
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Canfora, Emanuel E., primary, Vliex, Lars M. M., additional, Wang, Taojun, additional, Nauta, Arjen, additional, Bouwman, Freek G., additional, Holst, Jens J., additional, Venema, Koen, additional, Zoetendal, Erwin G., additional, and Blaak, Ellen E., additional
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- 2023
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32. Improvement of Insulin Sensitivity after Lean Donor Feces in Metabolic Syndrome Is Driven by Baseline Intestinal Microbiota Composition
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Kootte, Ruud S., Levin, Evgeni, Salojärvi, Jarkko, Smits, Loek P., Hartstra, Annick V., Udayappan, Shanti D., Hermes, Gerben, Bouter, Kristien E., Koopen, Annefleur M., Holst, Jens J., Knop, Filip K., Blaak, Ellen E., Zhao, Jing, Smidt, Hauke, Harms, Amy C., Hankemeijer, Thomas, Bergman, Jacques J.G.H.M., Romijn, Hans A., Schaap, Frank G., Olde Damink, Steven W.M., Ackermans, Mariette T., Dallinga-Thie, Geesje M., Zoetendal, Erwin, de Vos, Willem M., Serlie, Mireille J., Stroes, Erik S.G., Groen, Albert K., and Nieuwdorp, Max
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- 2017
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33. Pretreatment fasting plasma glucose and insulin modify dietary weight loss success: results from 3 randomized clinical trials
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Hjorth, Mads F, Ritz, Christian, Blaak, Ellen E, Saris, Wim HM, Langin, Dominique, Poulsen, Sanne Kellebjerg, Larsen, Thomas Meinert, Sørensen, Thorkild IA, Zohar, Yishai, and Astrup, Arne
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- 2017
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34. Supplementation of Diet With Galacto-oligosaccharides Increases Bifidobacteria, but Not Insulin Sensitivity, in Obese Prediabetic Individuals
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Canfora, Emanuel E., van der Beek, Christina M., Hermes, Gerben D.A., Goossens, Gijs H., Jocken, Johan W.E., Holst, Jens J., van Eijk, Hans M., Venema, Koen, Smidt, Hauke, Zoetendal, Erwin G., Dejong, Cornelis H.C., Lenaerts, Kaatje, and Blaak, Ellen E.
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- 2017
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35. Effect of the interaction between diet composition and the PPM1K genetic variant on insulin resistance and β cell function markers during weight loss: results from the Nutrient Gene Interactions in Human Obesity: implications for dietary guidelines (NUGENOB) randomized trial
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Goni, Leticia, Qi, Lu, Cuervo, Marta, Milagro, Fermín I, Saris, Wim H, MacDonald, Ian A, Langin, Dominique, Astrup, Arne, Arner, Peter, Oppert, Jean-Michel, Svendstrup, Mathilde, Blaak, Ellen E, Sørensen, Thorkild IA, Hansen, Torben, and Martínez, J Alfredo
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- 2017
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36. Integrative phenotyping of glycemic responders upon clinical weight loss using multi-omics
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Valsesia, Armand, Chakrabarti, Anirikh, Hager, Jörg, Langin, Dominique, Saris, Wim H. M., Astrup, Arne, Blaak, Ellen E., Viguerie, Nathalie, and Masoodi, Mojgan
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- 2020
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37. Individual and cohort-specific gut microbiota patterns associated with tissue-specific insulin sensitivity in overweight and obese males
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Hermes, Gerben D. A., Reijnders, Dorien, Kootte, Ruud S., Goossens, Gijs H., Smidt, Hauke, Nieuwdorp, Max, Blaak, Ellen E., and Zoetendal, Erwin G.
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- 2020
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38. Distinct inflammatory signatures of upper and lower body adipose tissue and adipocytes in women with normal weight or obesity
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Lempesis, Ioannis G., primary, Hoebers, Nicole, additional, Essers, Yvonne, additional, Jocken, Johan W. E., additional, Dineen, Rosemary, additional, Blaak, Ellen E., additional, Manolopoulos, Konstantinos N., additional, and Goossens, Gijs H., additional
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- 2023
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39. The effects of 2’-fucosyllactose on acetate production
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Canfora, Emanuel E., Vliex, Lars M.M., Wang, Taojun, Nauta, Arjen, Bouwman, Freek G., Holst, Jens J., Venema, Koen, Zoetendal, Erwin G., Blaak, Ellen E., Canfora, Emanuel E., Vliex, Lars M.M., Wang, Taojun, Nauta, Arjen, Bouwman, Freek G., Holst, Jens J., Venema, Koen, Zoetendal, Erwin G., and Blaak, Ellen E.
- Abstract
Clinical trials demonstrated that acute infusion of the gut microbial metabolites short-chain fatty acids (SCFA) to the distal colon beneficially affects human substrate and energy metabolism. Here, we hypothesized that the combination of the human milk oligosaccharide 2’-fucosyllactose (2’-FL) with resistant starch (RS) increases distal colonic SCFA production and improves metabolic parameters in lean men and men with overweight/obesity and prediabetes. In this double-blind, placebo-controlled, randomized, crossover study, 10 lean (BMI 20-24.9 kg/m2) normoglycaemic men and 9 men with prediabetes and overweight/obesity (BMI 25-35 kg/m2) were supplemented with either 2’-FL alone, 2’-FL+RS or placebo one day prior to a clinical investigation day (CID). During the CIDs, blood samples were collected fasted and after consumption of a liquid high-fat mixed meal to determine plasma SCFA acetate, butyrate and propionate concentrations (primary outcomes). Secondary outcomes were fasting and postprandial plasma insulin, glucose, free fatty acid (FFA), glucagon-like peptide-1 and peptide YY concentrations. In addition, fecal SCFA and microbiota composition were determined, and energy expenditure and substrate oxidation (indirect calorimetry) and breath H2 excretion were measured. In lean men, supplementation with 2’-FL increased postprandial plasma acetate (P < .017) and fasting H2 excretion (P < .041) compared to placebo. Postprandial plasma butyrate concentration increased after 2’-FL and 2FL+RS as compared to placebo (P < .05) in lean men and in men with prediabetes and overweight/obesity. Additionally, 2’-FL+RS decreased fasting and postprandial plasma FFA concentrations compared to placebo (P < .05) in lean men, but not in men with prediabetes and overweight/obesity. One-day supplementation of 2’-FL or 2’-FL+RS did not affect fecal SCFA concentrations and microbial composition, glucose homeostasis and satiety hormones, substrate oxidation and energy expenditure in both gr, Clinical trials demonstrated that acute infusion of the gut microbial metabolites short-chain fatty acids (SCFA) to the distal colon beneficially affects human substrate and energy metabolism. Here, we hypothesized that the combination of the human milk oligosaccharide 2’-fucosyllactose (2’-FL) with resistant starch (RS) increases distal colonic SCFA production and improves metabolic parameters in lean men and men with overweight/obesity and prediabetes. In this double-blind, placebo-controlled, randomized, crossover study, 10 lean (BMI 20-24.9 kg/m2) normoglycaemic men and 9 men with prediabetes and overweight/obesity (BMI 25-35 kg/m2) were supplemented with either 2’-FL alone, 2’-FL+RS or placebo one day prior to a clinical investigation day (CID). During the CIDs, blood samples were collected fasted and after consumption of a liquid high-fat mixed meal to determine plasma SCFA acetate, butyrate and propionate concentrations (primary outcomes). Secondary outcomes were fasting and postprandial plasma insulin, glucose, free fatty acid (FFA), glucagon-like peptide-1 and peptide YY concentrations. In addition, fecal SCFA and microbiota composition were determined, and energy expenditure and substrate oxidation (indirect calorimetry) and breath H2 excretion were measured. In lean men, supplementation with 2’-FL increased postprandial plasma acetate (P < .017) and fasting H2 excretion (P < .041) compared to placebo. Postprandial plasma butyrate concentration increased after 2’-FL and 2FL+RS as compared to placebo (P < .05) in lean men and in men with prediabetes and overweight/obesity. Additionally, 2’-FL+RS decreased fasting and postprandial plasma FFA concentrations compared to placebo (P < .05) in lean men, but not in men with prediabetes and overweight/obesity. One-day supplementation of 2’-FL or 2’-FL+RS did not affect fecal SCFA concentrations and microbial composition, glucose homeostasis and satiety hormones, substrate oxidation and energy expenditure in both gr
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- 2023
40. Cardiometabolic health improvements upon dietary intervention are driven by tissue-specific insulin resistance phenotype: A precision nutrition trial
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Trouwborst, I., Gijbels, A., Jardon, K.M., Siebelink, E., Hul, G.B., Wanders, L., Thijssen, D.H.J., Lydia, A., Blaak, Ellen E., Trouwborst, I., Gijbels, A., Jardon, K.M., Siebelink, E., Hul, G.B., Wanders, L., Thijssen, D.H.J., Lydia, A., and Blaak, Ellen E.
- Abstract
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- 2023
41. Greater male variability in daily energy expenditure develops through puberty
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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.
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- 2023
42. Quantifying postprandial glucose responses using a hybrid modeling approach : Combining mechanistic and data-driven models in The Maastricht Study
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Erdős, Balázs, van Sloun, Bart, Goossens, Gijs H., O’Donovan, Shauna D., de Galan, Bastiaan E., van Greevenbroek, Marleen M.J., Stehouwer, Coen D.A., Schram, Miranda T., Blaak, Ellen E., Adriaens, Michiel E., van Riel, Natal A.W., Arts, Ilja C.W., Erdős, Balázs, van Sloun, Bart, Goossens, Gijs H., O’Donovan, Shauna D., de Galan, Bastiaan E., van Greevenbroek, Marleen M.J., Stehouwer, Coen D.A., Schram, Miranda T., Blaak, Ellen E., Adriaens, Michiel E., van Riel, Natal A.W., and Arts, Ilja C.W.
- Abstract
Computational models of human glucose homeostasis can provide insight into the physiological processes underlying the observed inter-individual variability in glucose regulation. Modelling approaches ranging from “bottom-up” mechanistic models to “top-down” data-driven techniques have been applied to untangle the complex interactions underlying progressive disturbances in glucose homeostasis. While both approaches offer distinct benefits, a combined approach taking the best of both worlds has yet to be explored. Here, we propose a sequential combination of a mechanistic and a data-driven modeling approach to quantify individuals’ glucose and insulin responses to an oral glucose tolerance test, using cross sectional data from 2968 individuals from a large observational prospective population-based cohort, the Maastricht Study. The best predictive performance, measured by R2 and mean squared error of prediction, was achieved with personalized mechanistic models alone. The addition of a data-driven model did not improve predictive performance. The personalized mechanistic models consistently outperformed the data-driven and the combined model approaches, demonstrating the strength and suitability of bottom-up mechanistic models in describing the dynamic glucose and insulin response to oral glucose tolerance tests.
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- 2023
43. 2′-fucosyllactose alone or combined with resistant starch increases circulating short-chain fatty acids in lean men and men with prediabetes and obesity
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Canfora, Emanuel E., Vliex, Lars M.M., Wang, Taojun, Nauta, Arjen, Bouwman, Freek G., Holst, Jens J., Venema, Koen, Zoetendal, Erwin G., Blaak, Ellen E., Canfora, Emanuel E., Vliex, Lars M.M., Wang, Taojun, Nauta, Arjen, Bouwman, Freek G., Holst, Jens J., Venema, Koen, Zoetendal, Erwin G., and Blaak, Ellen E.
- Abstract
Background: Infusion of short-chain fatty acids (SCFA) to the distal colon beneficially affects human substrate and energy metabolism. Here, we hypothesized that the combination of 2′-fucosyllactose (2′-FL) with resistant starch (RS) increases distal colonic SCFA production and improves metabolic parameters. Methods: In this randomized, crossover study, 10 lean (BMI 20–24.9 kg/m2) and nine men with prediabetes and overweight/obesity (BMI 25–35 kg/m2) were supplemented with either 2′-FL, 2′-FL+RS, or placebo one day before a clinical investigation day (CID). During the CID, blood samples were collected after a overnight fast and after intake of a liquid high-fat mixed meal to determine plasma SCFA (primary outcomes). Secondary outcomes were fasting and postprandial plasma insulin, glucose, free fatty acid (FFA), glucagon-like peptide-1, and peptide YY concentrations. In addition, fecal SCFA and microbiota composition, energy expenditure and substrate oxidation (indirect calorimetry), and breath hydrogen excretion were determined. Results: In lean men, supplementation with 2′-FL increased postprandial plasma acetate (P = 0.017) and fasting H2 excretion (P = 0.041) compared to placebo. Postprandial plasma butyrate concentration increased after 2′-FL and 2′-FL+RS as compared to placebo (P < 0.05) in lean men and men with prediabetes and overweight/obesity. Additionally, 2′-FL+RS decreased fasting and postprandial plasma FFA concentrations compared to placebo (P < 0.05) in lean men. Conclusion: Supplementation of 2′-FL with/without RS the day before investigation increased systemic butyrate concentrations in lean men as well as in men with prediabetes and obesity, while acetate only increased in lean men. The combination of 2′-FL with RS showed a putatively beneficial metabolic effect by lowering plasma FFA in lean men, indicating a phenotype-specific effect. Clinical trial registration: nr. NCT04795804.
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- 2023
44. The effect of weight loss on whole-body and tissue-specific insulin sensitivity and hepatic lipid content and composition: SWEET substudy
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Pang, Michelle D, Bastings, Jacco J A J, Op den Kamp-Bruls, Yvonne M H, Harrold, Joanne A, Kjølbæk, Louise, Halford, Jason C G, Adam, Tanja C M, Raben, Anne, Schrauwen-Hinderling, Vera B, Goossens, Gijs H, Blaak, Ellen E, Pang, Michelle D, Bastings, Jacco J A J, Op den Kamp-Bruls, Yvonne M H, Harrold, Joanne A, Kjølbæk, Louise, Halford, Jason C G, Adam, Tanja C M, Raben, Anne, Schrauwen-Hinderling, Vera B, Goossens, Gijs H, and Blaak, Ellen E
- Abstract
Objective: This study (1) investigated the effect of weight loss on whole-body and tissue-specific insulin sensitivity and on intrahepatic lipid (IHL) content and composition and (2) investigated the association between weight-loss-induced changes in insulin sensitivity and IHL content in individuals with overweight or obesity. Methods: In this secondary analysis of the European SWEET project, 50 adults (age 18–65 years) with overweight or obesity (BMI ≥ 25 kg/m2) followed a low-energy diet (LED) for 2 months. At baseline and after the LED, body composition (dual-energy x-ray absorptiometry), IHL content and composition (proton magnetic resonance spectroscopy), whole-body insulin sensitivity (Matsuda index), muscle insulin sensitivity index (MISI), and hepatic insulin resistance index (HIRI) were determined (7-point oral glucose tolerance test). Results: The LED reduced body weight (p < 0.001). This was accompanied by increased Matsuda index and reduced HIRI (both p < 0.001) but no change in MISI (p = 0.260). Weight loss decreased IHL content (mean [SEM], 3.9% [0.7%] vs. 1.6% [0.5%], p < 0.001) and the hepatic saturated fatty acid fraction (41.0% [1.5%] vs. 36.6% [1.9%], p = 0.039). The reduced IHL content was associated with an improvement in HIRI (r = 0.402, p = 0.025). Conclusions: Weight loss decreased IHL content and the hepatic saturated fatty acid fraction. The decrease in IHL content was associated with weight-loss-induced improvement in hepatic insulin sensitivity in individuals with overweight or obesity.
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- 2023
45. Circulating and adipose tissue immune cells in tissue-specific insulin resistance in humans with overweight and obesity
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Trouwborst, Inez, Wouters, Kristiaan, Jocken, Johan W., Jardon, Kelly M., Gijbels, Anouk, Dagnelie, Pieter C., van Greevenbroek, Marleen M.J., van der Kallen, Carla J., Stehouwer, Coen D.A., Schalkwijk, Casper G., Richard, Nathalie, Bendik, Igor, Afman, Lydia A., Blaak, Ellen E., Goossens, Gijs H., Trouwborst, Inez, Wouters, Kristiaan, Jocken, Johan W., Jardon, Kelly M., Gijbels, Anouk, Dagnelie, Pieter C., van Greevenbroek, Marleen M.J., van der Kallen, Carla J., Stehouwer, Coen D.A., Schalkwijk, Casper G., Richard, Nathalie, Bendik, Igor, Afman, Lydia A., Blaak, Ellen E., and Goossens, Gijs H.
- Abstract
Objective: A proinflammatory adipose tissue (AT) microenvironment and systemic low-grade inflammation may differentially affect tissue-specific insulin sensitivity. This study investigated the relationships of abdominal subcutaneous AT (aSAT) and circulating immune cells, aSAT gene expression, and circulating inflammatory markers with liver and skeletal muscle insulin sensitivity in people with overweight and obesity. Methods: Individuals with overweight and obesity from the PERSonalized Glucose Optimization Through Nutritional Intervention (PERSON) Study (n = 219) and the Maastricht Study (replication cohort; n = 1256) underwent a seven-point oral glucose tolerance test to assess liver and muscle insulin sensitivity, and circulating inflammatory markers were determined. In subgroups, flow cytometry was performed to identify circulating and aSAT immune cells, and aSAT gene expression was evaluated. Results: The relative abundances of circulating T cells, nonclassical monocytes, and CD56dim CD16+ natural killer cells were inversely associated with liver, but not muscle, insulin sensitivity in the PERSON Study. The inverse association between circulating (classical) monocytes and liver insulin sensitivity was confirmed in the Maastricht Study. In aSAT, immune cell populations were not related to insulin sensitivity. Furthermore, aSAT gene expression of interleukin 6 and CD14 was positively associated with muscle, but not liver, insulin sensitivity. Conclusions: The present findings demonstrate that circulating immune cell populations and inflammatory gene expression in aSAT show distinct associations with liver and muscle insulin sensitivity.
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- 2023
46. Cardiometabolic health improvements upon dietary intervention are driven by tissue-specific insulin resistance phenotype : A precision nutrition trial
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Trouwborst, Inez, Gijbels, Anouk, Jardon, Kelly M., Siebelink, Els, Hul, Gabby B., Wanders, Lisa, Erdos, Balázs, Péter, Szabolcs, Singh-Povel, Cécile M., de Vogel-van den Bosch, Johan, Adriaens, Michiel E., Arts, Ilja C.W., Thijssen, Dick H.J., Feskens, Edith J.M., Goossens, Gijs H., Afman, Lydia A., Blaak, Ellen E., Trouwborst, Inez, Gijbels, Anouk, Jardon, Kelly M., Siebelink, Els, Hul, Gabby B., Wanders, Lisa, Erdos, Balázs, Péter, Szabolcs, Singh-Povel, Cécile M., de Vogel-van den Bosch, Johan, Adriaens, Michiel E., Arts, Ilja C.W., Thijssen, Dick H.J., Feskens, Edith J.M., Goossens, Gijs H., Afman, Lydia A., and Blaak, Ellen E.
- Abstract
Precision nutrition based on metabolic phenotype may increase the effectiveness of interventions. In this proof-of-concept study, we investigated the effect of modulating dietary macronutrient composition according to muscle insulin-resistant (MIR) or liver insulin-resistant (LIR) phenotypes on cardiometabolic health. Women and men with MIR or LIR (n = 242, body mass index [BMI] 25–40 kg/m2, 40–75 years) were randomized to phenotype diet (PhenoDiet) group A or B and followed a 12-week high-monounsaturated fatty acid (HMUFA) diet or low-fat, high-protein, and high-fiber diet (LFHP) (PhenoDiet group A, MIR/HMUFA and LIR/LFHP; PhenoDiet group B, MIR/LFHP and LIR/HMUFA). PhenoDiet group B showed no significant improvements in the primary outcome disposition index, but greater improvements in insulin sensitivity, glucose homeostasis, serum triacylglycerol, and C-reactive protein compared with PhenoDiet group A were observed. We demonstrate that modulating macronutrient composition within the dietary guidelines based on tissue-specific insulin resistance (IR) phenotype enhances cardiometabolic health improvements. Clinicaltrials.gov registration: NCT03708419, CCMO registration NL63768.068.17.
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- 2023
47. Butyrate and hexanoate-enriched triglycerides increase postprandrial systemic butyrate and hexanoate in men with overweight/obesity:A double-blind placebo-controlled randomized crossover trial
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van Deuren, Thirza, Smolders, Lotte, Hartog, Anita, Bouwman, Freek G., Holst, Jens J., Venema, Koen, Blaak, Ellen E., Canfora, Emanuel E., van Deuren, Thirza, Smolders, Lotte, Hartog, Anita, Bouwman, Freek G., Holst, Jens J., Venema, Koen, Blaak, Ellen E., and Canfora, Emanuel E.
- Abstract
Background: Short chain fatty acids (SCFA) are increasingly recognized for their potential ability to alleviate obesity-associated chronic low-grade inflammation and disturbed energy homeostasis. Evidence suggests that an increase in circulating SCFA might be necessary to induce beneficial alterations in energy metabolism. Objective: To compare the bioaccessibility of two different SCFA-enriched triglycerides: Akovita SCT (butyrate and hexanoate esterified with long chain fatty acids) and tributyrin/caproin (solely butyrate and hexanoate) and investigate whether the SCFA from orally administrated Akovita SCT reach the circulation and affect postprandial metabolism in men with overweight/obesity. Methods: The site, speed, and amount of SCFA release from Akovita SCT and tributyrin/caproin were assessed in a validated In vitro Model of the stomach and small intestine (TIM-1). Subsequently, a double-blind placebo-controlled randomized crossover study was conducted at Maastricht University with fourteen men with overweight/obesity (BMI 25–35 kg/m2) of which twelve men finished all testdays and were included for analysis. The participants received a liquid high fat mixed meal test containing either a low (650 mg), medium (1,325 mg), or high dose (2,000 mg) of Akovita SCT or a placebo (sunflower oil) in randomized order. Blood was sampled at baseline and after ingestion for 6 h for the primary outcome plasma butyrate and hexanoate concentration. Secondary outcomes included hydrogen breath, appetite, gastrointestinal complaints, circulating glucagon-like peptide 1, free fatty acids, glucose, triglycerides, insulin, and cytokines concentrations. Results: In TIM-1, tributyrin/caproin was rapidly cleaved in the gastric compartment whereas the release of SCFA from Akovita SCT occurred predominantly in the small intestine. In vivo, all doses were well-tolerated. The medium dose increased (P < 0.05) and the high dose tended to increase (P < 0.10) postprandial
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- 2023
48. Effects of Gut Microbiota Manipulation by Antibiotics on Host Metabolism in Obese Humans: A Randomized Double-Blind Placebo-Controlled Trial
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Reijnders, Dorien, Goossens, Gijs H., Hermes, Gerben D.A., Neis, Evelien P.J.G., van der Beek, Christina M., Most, Jasper, Holst, Jens J., Lenaerts, Kaatje, Kootte, Ruud S., Nieuwdorp, Max, Groen, Albert K., Olde Damink, Steven W.M., Boekschoten, Mark V., Smidt, Hauke, Zoetendal, Erwin G., Dejong, Cornelis H.C., and Blaak, Ellen E.
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- 2016
- Full Text
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49. Combined epigallocatechin-3-gallate and resveratrol supplementation for 12 wk increases mitochondrial capacity and fat oxidation, but not insulin sensitivity, in obese humans: a randomized controlled trial
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Most, Jasper, Timmers, Silvie, Warnke, Ines, Jocken, Johan WE, van Boekschoten, Mark, de Groot, Philip, Bendik, Igor, Schrauwen, Patrick, Goossens, Gijs H, and Blaak, Ellen E
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- 2016
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50. Impact of early events and lifestyle on the gut microbiota and metabolic phenotypes in young school-age children
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Zhong, Huanzi, Penders, John, Shi, Zhun, Ren, Huahui, Cai, Kaiye, Fang, Chao, Ding, Qiuxia, Thijs, Carel, Blaak, Ellen E., Stehouwer, Coen D. A., Xu, Xun, Yang, Huanming, Wang, Jian, Wang, Jun, Jonkers, Daisy M. A. E., Masclee, Ad A. M., Brix, Susanne, Li, Junhua, Arts, Ilja C. W., and Kristiansen, Karsten
- Published
- 2019
- Full Text
- View/download PDF
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