Morphological and Physiological Idiosyncrasies Lead to Interindividual Variation in Flight Metabolic Rate in Worker Bumblebees (Bombus impatiens)

2012 ◽  
Vol 85 (6) ◽  
pp. 657-670 ◽  
Author(s):  
Dimitri A. Skandalis ◽  
Charles-A. Darveau
Keyword(s):  
Metabolic Rate ◽  
Bombus Impatiens ◽  
Interindividual Variation

scholarly journals Metabolic rate predicts the lifespan of workers in the bumble bee Bombus impatiens

Apidologie ◽  
2019 ◽  
Vol 50 (2) ◽  
pp. 195-203 ◽  
Author(s):  
Evan P. Kelemen ◽  
Nhi Cao ◽  
Tuan Cao ◽  
Goggy Davidowitz ◽  
Anna Dornhaus
Keyword(s):  
Metabolic Rate ◽  
Bombus Impatiens ◽  
Bumble Bee

scholarly journals Seasonal variation in sleeping metabolic rate, thyroid activity, and leptin

2003 ◽  
Vol 285 (2) ◽  
pp. E338-E343 ◽  
Author(s):  
Guy Plasqui ◽  
Arnold D. M. Kester ◽  
Klaas R. Westerterp
Keyword(s):  
Body Composition ◽  
Seasonal Variation ◽  
Metabolic Rate ◽  
Compartment Model ◽  
Fat Free Mass ◽  
Interindividual Variation ◽  
Dilution Method ◽  
Thyroid Activity ◽  
Intraindividual Variation ◽  
Total Thyroxine

We investigated seasonal variation in sleeping metabolic rate (SMR) and the possible relation to body composition, thyroid activity, and leptin. Twenty-five healthy volunteers were examined four times during the year: in spring (April, May), summer (July, August), autumn (October, November), and winter (January, February). Body composition was determined using a three-compartment model based on underwater weighing and the deuterium dilution method. SMR was measured during an overnight stay in a respiration chamber. A blood sample was taken for the analysis of free and total thyroxine, TSH, and leptin. SMR showed a significant seasonal variation ( P < 0.01) with a maximum in winter (4.54 kJ/min) and a minimum in summer (4.34 kJ/min). The amplitude was 0.10 ± 0.02 kJ/min, and the phase was November 5th. Season explained 17% of the intraindividual variation in SMR. The circannual rhythm in SMR could not be explained by changes in body composition, thyroid activity, or leptin. Interindividual variation in SMR was explained by fat-free mass ( P < 0.001) and leptin ( P < 0.001).

Concomitant interindividual variation in body temperature and metabolic rate

1992 ◽  
Vol 263 (4) ◽  
pp. E730-E734 ◽  
Author(s):  
R. Rising ◽  
A. Keys ◽  
E. Ravussin ◽  
C. Bogardus
Keyword(s):  
Body Composition ◽  
Body Size ◽  
Body Temperature ◽  
Metabolic Rate ◽  
Interindividual Variation ◽  
Intraindividual Variation ◽  
Interindividual Variations ◽  
Caucasian Men ◽  
Before And After ◽  
Point Body

There is significant variation in metabolic rate in humans, independent of differences in body size, body composition, age, and gender. Although it has been generally held that the normal human "set-point" body temperature is 37 degrees C, these interindividual variations in metabolic rate also suggest possible variations in body temperature. To examine the possibility of correlations between metabolic rate and body temperature, triplicate measurements of oral temperatures were made before and after measurement of 24-h energy expenditure in a respiratory chamber in 23 Pima Indian men. Fasting oral temperatures varied more between individuals than can be attributed to methodological errors or intraindividual variation. Oral temperatures correlated with sleeping (r = 0.80, P < 0.0001), and 24-h (r = 0.48, P < 0.02) metabolic rates adjusted for differences in body size, body composition, and age. Similarly, in the 32 Caucasian men of the Minnesota Semi-Starvation Study, oral temperature correlated with adjusted metabolic rate, and the interindividual differences in body temperature were maintained throughout semistarvation and refeeding. These results suggest that a low body temperature and a low metabolic rate might be two signs of an obesity-prone syndrome in humans.

scholarly journals Kinematic flexibility allows bumblebees to increase energetic efficiency when carrying heavy loads

2020 ◽  
Vol 6 (6) ◽  
pp. eaay3115
Author(s):  
Stacey A. Combes ◽  
Susan F. Gagliardi ◽  
Callin M. Switzer ◽  
Michael E. Dillon
Keyword(s):  
Metabolic Rate ◽  
Force Production ◽  
Bombus Impatiens ◽  
Energetic Efficiency ◽  
Loading History ◽  
Energetic Costs ◽  
Additional Loading ◽  
Heavy Loads ◽  
Load Size ◽  
Stroke Amplitude

Foraging bees fly with heavy loads of nectar and pollen, incurring energetic costs that are typically assumed to depend on load size. Insects can produce more force by increasing stroke amplitude and/or flapping frequency, but the kinematic response of a given species is thought to be consistent. We examined bumblebees (Bombus impatiens) carrying both light and heavy loads and found that stroke amplitude increased in proportion to load size, but did not predict metabolic rate. Rather, metabolic rate was strongly tied to frequency, which was determined not by load size but by the bee’s average loading state and loading history, with heavily loaded bees displaying smaller changes in frequency and smaller increases in metabolic rate to support additional loading. This implies that bees can increase force production through alternative mechanisms; yet, they often choose the energetically costly option of elevating frequency, suggesting associated performance benefits that merit further investigation.

Development of new predictive equations for basal metabolic rate in Iranian healthy adults: negligible effect of sex

2020 ◽  
pp. 1-10
Author(s):  
Bahareh Nikooyeh ◽  
Nastaran Shariatzadeh ◽  
Ali Kalayi ◽  
Maliheh Zahedirad ◽  
Tirang R. Neyestani
Keyword(s):  
Metabolic Rate ◽  
Thyroid Function ◽  
Basal Metabolic Rate ◽  
Age Groups ◽  
Thyroid Function Tests ◽  
Anthropometric Measures ◽  
Predictive Equations ◽  
Normal Thyroid Function ◽  
Asian People ◽  
Predictive Formulas

Abstract. Some studies have reported inaccuracy of predicting basal metabolic rate (BMR) by using common equations for Asian people. Thus, this study was undertaken to develop new predictive equations for the Iranian community and also to compare their accuracy with the commonly used formulas. Anthropometric measures and thyroid function were evaluated for 267 healthy subjects (18–60 y). Indirect calorimetry (InCal) was performed only for those participants with normal thyroid function tests (n = 252). Comparison of predicted RMR (both kcal/d and kcal.kg.wt−1.d−1) using current predictive formulas and measured RMR revealed that Harris-Benedict and FAO/WHO/UNU significantly over-estimated and Mifflin-St. Jeor significantly under-estimated RMR as compared to InCal measurements. In stepwise regression analysis for developing new equations, the highest r2 (=0.89) was from a model comprising sex, height and weight. However, further analyses revealed that unlike the subjects under 30 y, the association between age and the measured RMR in subjects 30 y and plus was negative (r = −0.241, p = 0.001). As a result, two separate equations were developed for these two age groups. Over 80 percent of variations were covered by the new equations. In conclusion, there were statistical significant under- and over-estimation of RMR using common predictive equations in our subjects. Using the new equations, the accuracy of the calculated RMR increased remarkably.

Nutrient pattern of unsaturated fatty acids and vitamin E increase resting metabolic rate of overweight and obese women

2020 ◽  
pp. 1-9
Author(s):  
Habib Yarizadeh ◽  
Leila Setayesh ◽  
Caroline Roberts ◽  
Mir Saeed Yekaninejad ◽  
Khadijeh Mirzaei
Keyword(s):  
Vitamin E ◽  
Metabolic Rate ◽  
Unsaturated Fatty Acids ◽  
Resting Metabolic Rate ◽  
Blood Parameters ◽  
Cross Sectional Study ◽  
Obese Women ◽  
Cross Sectional ◽  
Dietary Nutrients ◽  
Nutrient Patterns

Abstract. Objectives: Obesity plays an important role in the development of chronic diseases including cardiovascular disease and diabetes. A low resting metabolic rate (RMR) for a given body size and composition is a risk factor for obesity, however, there is limited evidence available regarding the association of nutrient patterns and RMR. The aim of this study was to determine the association of nutrient patterns and RMR in overweight and obese women. Study design: This cross-sectional study was conducted on 360 women who were overweight or obese. Method: Dietary intake was assessed using a semi-quantitative standard food frequency questionnaire (FFQ). Nutrient patterns were also extracted by principal components analysis (PCA). All participants were evaluated for their body composition, RMR, and blood parameters. Result: Three nutrient patterns explaining 64% of the variance in dietary nutrients consumption were identified as B-complex-mineral, antioxidant, and unsaturated fatty acid and vitamin E (USFA-vit E) respectively. Participants were categorized into two groups based on the nutrient patterns. High scores of USFA-vit E pattern was significantly associated with the increase of RMR (β = 0.13, 95% CI = 0.79 to 68.16, p = 0.04). No significant associations were found among B-complex-mineral pattern (β = −0.00, 95% CI = −49.67 to 46.03, p = 0.94) and antioxidant pattern (β = 0.03, 95% CI −41.42 to 22.59, p = 0.56) with RMR. Conclusion: Our results suggested that the “USFA-vit E” pattern (such as PUFA, oleic, linoleic, vit.E, α-tocopherol and EPA) was associated with increased RMR.

Quantitative measurement of cerebral metabolic rate of glucose by means of dual-head coincidence gamma camera and 2-deoxy-2- [18F] fluoro-D-glucose

2005 ◽  
Vol 25 (1_suppl) ◽  
pp. S670-S670
Author(s):  
Katsufumi Kajimoto ◽  
Naohiko Oku ◽  
Yasuyuki Kimura ◽  
Makiko Tanaka ◽  
Hiroki Kato ◽  
...  
Keyword(s):  
Metabolic Rate ◽  
Gamma Camera ◽  
Quantitative Measurement ◽  
Cerebral Metabolic Rate
Sign in / Sign up

Export Citation Format

Share Document