Body Protein Mass Research Articles

Greater energy surplus promotes body protein accretion in healthy young men: A randomized clinical trial

Background & aimsCaloric overfeeding combined with adequate protein intake increases not only body fat mass but also fat-free mass. However, it remains unclear whether the increase in fat-free mass due to overfeeding is associated with an increase in total body protein mass. We evaluated the hypothesis that overfeeding would promote an increase in total body protein mass. MethodsIn our randomized controlled trial, 23 healthy young men were fed a diet equivalent to their energy requirements with a +10 % energy surplus from protein alone or a +40 % energy surplus (+10 % from protein, +30 % from carbohydrate) for 6 weeks. We estimated total body protein mass by a four-compartment model using dual-energy X-ray absorptiometry, deuterium dilution, and hydrostatic underwater weighing. ResultsThe 40 % energy surplus over 6 weeks significantly increased body protein mass compared to baseline by 3.7 % (0.44 kg; 95 % confidence interval [CI], 0.21–0.67 kg; P = 0.003); however, the 10 % energy surplus did not result in a significant change (0.00 kg; 95 % CI, −0.38–0.39 kg; P = 0.980). A significant interaction between intervention duration (time) and energy surplus (group) was observed for total body protein mass (P = 0.035, linear mixed-effects model), with a trend toward a significant difference in total body protein mass gain between groups (P = 0.059, Wilcoxon rank sum test). The increase in body protein mass due to the energy surplus was correlated with an increase in fat mass (r = 0.820, p = 0.002). ConclusionsA higher energy intake was found to promote an increase in body protein mass in healthy men consuming excess protein, suggesting the importance of energy surplus in body protein accumulation. This effect of energy surplus may be related to factors such as increased body fat mass and the associated secretion of adipokines. Trial registrationThe trial was registered with the University Hospital Medical Information Network Clinical Trial Registry as UMIN000034158.

237 Increasing the threonine-to-lysine ratio improves the growth performance of slow-growing pigs when fed with precision feeding techniques

Abstract Individual precision feeding (IPF) is a suitable tool to account for the nutritional requirement variability among pigs. It was previously reported that, within IPF, pigs require greater Thr:Lys than conventional group-phase feeding (GPF) pigs. It remains unknown if these differences in Thr:Lys requirements occur due to different growth rates (Gr). This study evaluated whether the Thr:Lys requirements of pigs fed with IPF systems are affected by Gr. Sixty pigs (30 barrows and 30 gilts) with 38.1 ± 3.8 kg of body weight were distributed in a completely randomized 3 × 5 factorial arrangement. Pigs were classified into fast (FGr), medium (MGr) and slow (SGr) Gr based on their average daily gain (ADG) during 6 wk previous to the trial. After classification, pens with 2 barrows and 2 gilts from the same Gr group were randomly assigned to one of five treatments (12 repetitions per treatment). Treatments consisted of a conventional GPF (GPF100) receiving 100% of the optimal 0.65 Thr:Lys and 4 IPF treatments providing 140% (IPF140), 120% (IPF120), 100% (IPF100) and 80% (IPF80) of the optimal ratio. GPF100 pigs were fed a single diet with 0.97% standardized ileal digestible Lys. IPF diets of the pigs were adjusted every 2 d to meet the Lys requirements of the most demanding pig in the pen. Body weight was recorded twice a week, and individual feed intake (ADFI) daily over 21 d. At d 1 and 21, pigs were scanned with dual X-ray to estimate their body composition. Body weight, body protein and lipid masses were analyzed as repeated measures over time. The Dunnett test was used to compare the IPF treatments to GPF100 and the Tukey test to compare Gr groups. The pig was considered the experimental unit. FGr maintained greater (treatment × Gr, P < 0.05) ADFI and ADG and greater (P < 0.05) lipid deposition over the trial when compared with MGr and SGr. However, increasing Thr:Lys enhanced (P < 0.05) ADG and ADFI of SGr pigs within IPF, resulting in similar (P > 0.05) values between Gr groups in IPF120 and IPF140. Although FGr tended (P = 0.05) to have greater final body protein mass, SGr presented leaner gain (P < 0.05), independently of the Thr:Lys. Threonine supplementation supports metabolic processes like glycine and serine synthesis, impacting gut health, protein synthesis, energy production, and oxidative stress, potentially explaining lower lipid deposition in SGr pigs when the same level of energy in the diet. SGr pigs might need a different AA profile where a higher Thr:Lys ratio likely enhances the metabolic capacity to support fast growth in SGr pigs within IPF. Consequently, increasing the Thr:Lys ratio within IPF led to improved growth performance in SGr pigs.

The usefulness of total body protein mass models for adolescent athletes.

The present study aimed to assess the utility of a less laborious technique for estimating total body protein (TBPro) in young athletes, using a multicomponent model as the criterion method. A total of 88 (49 boys and 39 girls) adolescent athletes (age: 15.2 ± 1.5 years; body mass index: 21.2 ± 2.7 kg/m2) participated. A 6-compartment model was used as the reference method (TBProReference) involving air displacement plethysmography for body volume, dual-energy X-ray absorptiometry (DXA) for bone mineral content, and deuterium dilution for total body water (TBW). Alternatively, DXA TBPro models were used as TBPro = lean-soft mass (LSM) - HFFFM × fat-free mass (FFM) - Ms. - G, where LSM and FFM were assessed using DXA, HFFFM is the hydration fraction of the FFM using measured TBW or assumed TBW (adult fraction of 0.732; Lohman's constants or mean observed HFFFM), Ms. is soft tissue minerals (Ms = 0.0129 × HFFFM × FFM), and G is glycogen calculated as 0.044 × (LSM - HFFFM × FFM - Ms). The maturation level was determined by self-assessment. TBPro obtained from DXA using the assumed HFFFM explained 73% to 77% of the variance compared to TBProReference. Meanwhile, using the mean values of measured HFFFM, the DXA model explained 53 and 36% for boys and girls, respectively. Larger bias (8.6% for boys and 25.8% for girls) and limits of agreement were found for the DXA model using measured HFFFM (boys for 66.9% and girls for 70%) compared to an assumed HFFFM (bias ranged from 1.5% to 22.5% and limits of agreement ranged from 31.3% to 35.3%). Less complex and demanding TBPro DXA models with the assumed HFFFM are valid alternatives for assessing this relevant FFM component in groups of adolescent athletes but are less accurate for individual results. Though future studies should be conducted to test the usefulness of these models in longitudinal and experimental designs, their potential to provide an estimation of protein mass after exercise and diet interventions in young athletes is anticipated.

239 Variation in muscle protein synthesis in growing gilts is partially associated with insulin resistance and sensitivity

Abstract Pigs with similar body weight (BW), same genetic background and sex vary in protein deposition (PD) overgrowth. We aimed to study metabolic factors influencing PD in 65 kg BW gilts. Gilts were fed ad libitum a diet balanced to maximize PD. Dual X-rays were conducted to estimate body protein mass on d 1 and 21, allowing calculation of PD by difference. On d 23, the gilts were categorized into Low (157 g/d) and High (219 ± 9.97 g/d) PD groups. In each group, eight pigs underwent jugular vein cannulation. After a 48-h recovery period, where they were fed at 90% of the measured feed intake, they were fasted for 8 h. All pigs were then given a 300 g meal at time 0, and blood samples were collected at 10, 15, 20, 30, 40, 50, 60, 75, 90, 120, 150, 178, and 178 min, to study insulin and glucose responses. At 180 min post-meal, a solution of L-13C valine was administered i.v. (18 ape – flooding dose), and liver, duodenum, and longissimus dorsi muscle samples were collected within 5 minutes of slaughter. The fractional synthesis rate (FSR, %/d), absolute synthesis rate (ASR, g/d), ribosomal capacity for protein synthesis (Cs), and the efficiency of protein synthesis (KRNA) based on total RNA concentration in skeletal muscle were calculated. The insulin resistance index (HOMA-B) and insulin sensitivity index (QUICKI) were also determined. The difference between Low and High PD gilts was compared using a F-test. The longissimus dorsi muscle exhibited a 31% greater (P = 0.01) FSR in High compared with Low PD group. No significant differences were observed in the FSR of the jejunum and liver. High PD gilts showed a 55% greater ASR in whole-body muscles (P = 0.003) and 42% greater ASR in the liver (P = 0.04) compared with Low PD gilts, with no difference for the ASR in the jejunum. The KRNA in the longissimus dorsi was 48% greater in High PD gilts (P = 0.01), with no differences in KRNA for the jejunum or liver. Cs did not differ between Low and High PD gilts. The QUICKI index tended to be greater in High PD gilts (P = 0.10). Spearman’s correlation revealed that longissimus dorsi FSR was negatively correlated with the HOMA-B index (r = -0.53; P = 0.04). Increases in the HOMA-B index tended to be associated with greater KRNA (r = -0.49; P = 0.06). These correlations highlight the complex interplay of metabolic and hormonal factors involved in the observed differences in protein synthesis and efficiency in growing gilts. Insulin resistance and sensitivity may play a role in influencing skeletal muscle PD variations.

Genetic merit of sires for ad libitum residual feed intake affects feed efficiency of restricted-fed heavy pigs but not body weight gain tissue composition.

The study aimed at evaluating how sires, classified for their additive genetic effects on residual feed intake (RFI) of ad libitum-fed progeny, influence growth performance, tissue accretion, and gain composition in restricted-fed offspring (96-168 kg body weight, BW). A total of 416 purebred C21 Goland pigs, offspring of 23 sires, were randomly allocated to three feeding groups: ad libitum, restricted medium-protein, or restricted low-protein. Empty BW, body lipid mass and body protein mass were estimated from individual BW and backfat measures using literature equations. Residuals of a linear regression of average daily feed intake on average empty BW, body lipid and protein daily gains were used as estimates of individual RFI in ad libitum-fed pigs. Additive genetic effects of sires on RFI of ad libitum-fed pigs were estimated with a linear animal model and solutions of the model were used to allocate the sires to low- (LRFI), medium- (MRFI), or high-RFI (HRFI) groups. Restricted-fed progeny of LRFI sires exhibited reduced average daily feed intake (-3%) compared to MRFI and HRFI progeny. This indicates that LRFI progeny make a more efficient use of energy intake and implies that variation in RFI across families, assessed under ad libitum feeding, is related to the across-family variation in feed efficiency detected under restricted feeding. LRFI progeny exhibited also a lower feed conversion ratio (-11%), partially resulting from of a 3% increase in growth rate compared with HRFI. Thus, LRFI progeny consumed less feed, while growing at a similar or slightly higher rate than MRFI or HRFI. No significant differences across sire classes were observed for daily tissue accretion and gain composition. Hence, we can hypothesise that efficient sires would not affect carcass leanness of heavy pig progeny fed restricted.

Gut microbiome composition: link between sports performance and protein absorption?

Sufficient protein intake is essential for adequate physical condition and athletic performance. However, numerous factors can influence the absorption of consumed protein, including timing, type of protein intake, and gut microbiota. In the present study, elite male water polo players consumed a plant-based, vegan protein supplement with (n = 10) or without (n = 10) pre- and probiotics daily during the 31-day study period. We determined the anthropometric characteristics and body composition, dietary habits, gut microbiota composition, and blood parameters of the players at the beginning and at the end of the study. Body composition parameters were analyzed using the InBody 970 bioimpedance analyzer. Gut microbiome composition was determined from stool samples by metagenome sequencing. Paired and unpaired t-tests were used to determine differences between body composition and blood parameters within the groups and between the two groups at the two different sampling times. The Wilcoxon test was used to determine the change in bacterial composition during the study. Correlations between changes in body composition, blood parameters, and taxonomic groups were analyzed using a linear correlation calculation. Skeletal muscle mass (p < 0.001), body cell mass (p = 0.002), arm circumference (p = 0.003), and protein mass (p < 0.001) increased, while body fat mass (p = 0.004) decreased significantly in the intervention group which consumed pre- and probiotics in addition to protein supplement. Activated acetate (reductive TCA cycle I) and propionate (pyruvate fermentation to propanoate I) pathways correlated positively with increased skeletal muscle mass (p < 0.01 and p < 0.05), and the relative abundance of butyrate-producing species showed a significant positive correlation with changes in body fat mass in the intervention group (p < 0.05). These correlations were not observed in the control group without the intake of pre- and probiotics. The composition of the gut microbiota may influence protein absorption and therefore body composition and consequently physical condition and sports performance.

Assessment of Nutrient Intake and its Association with Protein Energy Wasting in Haemodialysis Patients

Background: Protein Energy Wasting (PEW) is one of the complications associated with HD, a multi-factorial, maladaptive metabolic state characterized by loss of body protein mass and energy reserves, which is a major cause of morbidity and mortality amongst these patients. Adequate nutrient intake in dialysis patients is, therefore, a challenge due to poor appetite, and anorexia because of the build-up of uremic toxins. Therefore, this study aims to assess PEW and nutrient intake consumption in the HD population to add to the Indian database. Methods: The study adopted a cross-sectional design conducted at a tertiary care hospital in Mumbai, India. A total of 54 chronic haemodialysis patients were recruited for the study through convenience sampling. Post dialysis session, measurement of weight was recorded. An interviewer-administered questionnaire was used to record the patient details. Results: The nutrient intake on dialysis day was observed to be lower as compared to non-dialysis day. Only 5% of patients were diagnosed with PEW. A significant correlation between Energy, Protein on dialysis, and non dialysis day, along with Carbohydrate, Sodium, and Potassium intake (p-value 0.001) was observed. Conclusion: The present study found that nutrient intake of Energy, Protein, CHO, Fats, Sodium and Potassium were lower on dialysis day as compared to non dialysis day. Majority of the patients were well nourished and only 5% of patients were Protein Energy Wasted. Keywords: Protein Energy Wasting (PEW), Nutrient intake, Haemodialysis, Appetite, Diet.

Body and milk production traits as indicators of energy requirements and efficiency of purebred Holstein and 3-breed rotational crossbred cows from Viking Red, Montbéliarde, and Holstein sires

This study aimed to compare rotational 3-breed crossbred cows of Viking Red, Montbéliarde, and Holstein breeds with purebred Holstein cows for a range of body measurements, as well as different metrics of the cows' productivity and production efficiency. The study involved 791 cows (440 crossbreds and 351 purebreds), that were managed across 2 herds. Within each herd, crossbreds and purebreds were reared and milked together, fed the same diets, and managed as one group. The heart girth, height at withers, and body length were measured, and body condition score (BCS) was determined on all the cows on a single test day. The body weight (BW) of 225 cows were used to develop an equation to predict BW from body size traits, parity, and days in milk, which was then used to estimate the BW of all the cows. Equations from the literature were used to estimate body protein and lipid contents using the predicted BW and BCS. Evidence suggests that maintenance energy requirements may be closely related to body protein mass, and Holstein and crossbred cows may be different in body composition. Therefore, we computed the requirements of net energy for maintenance (NEM) on the basis either of the metabolic weight (NEM-MW: 0.418 MJ/kg of metabolic BW) or of the estimated body protein mass according to a coefficient (NEM-PM: 0.631 MJ/kg body protein mass) computed on the subset comprising the purebred Holstein. On the same day when body measurements were collected, individual test-day milk yield and fat and protein contents were retrieved once from the official Italian milk recording system, and milk was sampled to determine fresh cheese yield. Measures of NEM were used to scale the production traits. Statistical analyses of all variables included the fixed effects of herd, days in milk, parity, and genetic group (purebred Holstein and crossbred), and the herd × genetic group interaction. External validation of the equation predicting BW yielded a correlation coefficient of 0.94 and an average bias of -4.95 ± 36.81 kg. The crossbreds had similar predicted BW and NEM-MW compared with the Holsteins. However, NEM-PM of crossbreds was 3.8% lower than that of the Holsteins, due to their 11% greater BCS and different estimated body composition. The crossbred cows yielded 4.8% less milk and 3.4% less milk energy than the purebred Holsteins. However, the differences between genetic groups were no longer significant when the production traits were scaled on NEM-PM, suggesting that the crossbreds and purebreds have the same productive ability and efficiency per unit of body protein mass. In conclusion, measures of productivity and efficiency that combine the cows' production capability with traits related to body composition and the energy cost of production seem to be more effective criteria for comparing crossbred and purebred Holstein cows than just milk, fat, and protein yields.

Effect of dietary supplementation with multinutrient soy flour on body composition and cognitive function in elderly individuals at the risk of low protein: a randomized, double-blind, placebo-controlled study.

Insufficient protein intake and cognitive decline are common in older adults; however, there have been few studies on low protein risk screening and complex nutrient interventions for elderly individuals in rural communities. This study aimed to evaluate the effect of dietary multinutrient soy flour (MNSF) on body composition and cognitive function in elderly individuals who are at risk of protein deficiency in a randomized, double-blind, placebo-controlled clinical trial. Nutritional interventions were given to those found to have low protein levels using bioelectrical impedance analysis (BIA). Among 733 older adults screened, 62 participants were included and randomly assigned into two groups, one taking soy flour and the other taking MNSF for 12 weeks. A previous cross-sectional survey found that 35.1% of the elderly people with an average age of 71.61 ± 5.94 years had an inadequate body protein mass proportion. After the intervention, the MNSF group demonstrated a significant improvement in protein mass, muscle mass, mineral levels, skeletal muscle mass, and fat-free mass compared with baseline (all P < 0.05), as well as a better upward trend compared with the soy flour group (P = 0.08; P = 0.07; P = 0.05; P = 0.08; P = 0.07). Regarding the mini-mental state examination (MMSE) scores, the MNSF group showed a significant decrease after 12 weeks (P < 0.05), which were significantly different compared with the soy flour group (P < 0.05). In the future, the application of MNSF as a food-based supplement to improve nutrition and delay cognitive decline in older adults at the risk of protein deficiency may be considered.

Changes in body composition and energetic efficiency in response to growth curve and dietary energy-to-protein ratio in broiler breeders

Body composition plays an important role in reproduction in broiler breeders. The aim of this study was to evaluate the dynamics in body composition and energetic efficiency in broiler breeders, using different dietary strategies. About 1,536-day-old pullets were randomly allotted to 24 pens in a 2×4 factorial design with 2 growth curves (standard or elevated (+15%)) and 4 diets, with a step-wise increment in energy (96, 100, 104, and 108% apparent metabolizable energy nitrogen corrected [AMEn]) fed on a pair-gain basis. Body composition was determined at 10 time points from 0 to 60 wk of age. Body protein mass was linearly related to body weight (BW) in growing breeders, which can be expressed as -6.4+0.184*BW (R2=0.99; P < 0.001). Body fat mass was exponentially related to BW in growing breeders, which can be expressed as -42.2+50.8*1.0006BW (R2=0.98; P < 0.001). A higher energy-to-protein ratio resulted in higher body fat mass at the same BW (P < 0.001). Sexual maturation was related to body protein mass at 21 wk of age, where each 100 g of body protein mass extra advanced sexual maturation by 5.4 d (R2=0.83). Estimates of energetic efficiency for growth (kg) and egg production (ke) appeared not constant, but varied with age in a quadratic manner between 0.27 and 0.54 for kg and between 0.28 and 0.56 for ke. The quadratic relationship could be expressed as kg=0.408-0.0319*Age+0.00181*Age2 (R2=0.72; P < 0.001) and ke=-0.211+0.034*Age-0.00042*Age2 (R2=0.46; P < 0.001). Body protein mass in broiler breeders is tightly regulated and mainly depended on BW and seems to be the main determinant for sexual maturation. Body fat mass is exponentially related to BW, where an increase in dietary energy-to-protein ratio results in a higher body fat mass. Treatments had minimal effects on estimated energetic efficiencies in breeders.

Are we overfeeding hemodialysis patients with protein? Exploring an alternative method to estimate protein needs.

Sufficient protein intake is of great importance in hemodialysis (HD) patients, especially for maintaining muscle mass. Daily protein needs are generally estimated using bodyweight (BW), in which individual differences in body composition are not accounted for. As body protein mass is best represented by fat free mass (FFM), there is a rationale to apply FFM instead of BW. The agreement between both estimations is unclear. Therefore, the aim of this study is to compare protein needs based on either FFM or BW in HD patients. Protein needs were estimated in 115 HD patients by three different equations; FFM, BW and BW adjusted for low or high BMI. FFM was measured by multi-frequency bioelectrical impedance spectroscopy and considered the reference method. Estimations of FFM x 1.5g/kg and FFM x 1.9g/kg were compared with (adjusted)BW x 1.2 and x 1.5, respectively. Differences were assessed with repeated measures ANOVA and Bland-Altman plots. Mean protein needs estimated by (adjusted)BW were higher compared to those based on FFM, across all BMI categories (P<0.01) and most explicitly in obese patients. In females with BMI >30, protein needs were 69±17.4g/day higher based on BW and 45±9.3g/day higher based on BMI adjusted BW, compared to FFM. In males with BMI >30, protein needs were 51±20.4g/day and 23±20.9g/day higher compared to FFM, respectively. Our data show large differences and possible overestimations of protein needs when comparing BW to FFM. We emphasize the importance of more research and discussion on this topic.

Does the Nutritional Composition of Dairy Milk Based Recovery Beverages Influence Post-exercise Gastrointestinal and Immune Status, and Subsequent Markers of Recovery Optimisation in Response to High Intensity Interval Exercise?

This study aimed to determine the effects of flavored dairy milk based recovery beverages of different nutrition compositions on markers of gastrointestinal and immune status, and subsequent recovery optimisation markers. After completing 2 h high intensity interval running, participants (n = 9) consumed a whole food dairy milk recovery beverage (CM, 1.2 g/kg body mass (BM) carbohydrate and 0.4 g/kg BM protein) or a dairy milk based supplement beverage (MBSB, 2.2 g/kg BM carbohydrate and 0.8 g/kg BM protein) in a randomized crossover design. Venous blood samples, body mass, body water, and breath samples were collected, and gastrointestinal symptoms (GIS) were measured, pre- and post-exercise, and during recovery. Muscle biopsies were performed at 0 and 2 h of recovery. The following morning, participants returned to the laboratory to assess performance outcomes. In the recovery period, carbohydrate malabsorption (breath H2 peak: 49 vs. 24 ppm) occurred on MBSB compared to CM, with a trend toward greater gut discomfort. No difference in gastrointestinal integrity (i.e., I-FABP and sCD14) or immune response (i.e., circulating leukocyte trafficking, bacterially-stimulated neutrophil degranulation, and systemic inflammatory profile) markers were observed between CM and MBSB. Neither trial achieved a positive rate of muscle glycogen resynthesis [−25.8 (35.5) mmol/kg dw/h]. Both trials increased phosphorylation of intramuscular signaling proteins. Greater fluid retention (total body water: 86.9 vs. 81.9%) occurred on MBSB compared to CM. Performance outcomes did not differ between trials. The greater nutrient composition of MBSB induced greater gastrointestinal functional disturbance, did not prevent the post-exercise reduction in neutrophil function, and did not support greater overall acute recovery.

New Health Functions of Egg White Protein (Lactic Fermented Egg White) and Its Application

Although egg white protein is known to have high nutritional function, little research has been conducted on its health benefits. Previous basic research studies have focused on the quality of egg white protein as a protein source, and it has been shown to increase body protein and muscle mass to a greater extent than casein, while decreasing body fat and visceral fat mass. However, since it is relatively difficult for humans to consume a large amount of egg white continuously, lactic fermented egg white has been developed by fermenting egg white with lactic acid bacteria to improve its flavour. A study conducted in participants with high visceral fat showed that lactic fermented egg white improved visceral fat obesity and that the effects were attributable mainly to inhibition of lipid absorption by ovalbumin. Lactic fermented egg white not only makes it easy to consume high-quality protein but is also expected to serve as a protein source that can be used to prevent lifestyle-related diseases, thereby contributing to health maintenance and improvement.

The Use of Visceral Proteins as Nutrition Markers: An ASPEN Position Paper.

Serum albumin and prealbumin, well-known visceral proteins, have traditionally been considered useful biochemical laboratory values in a nutrition assessment. However, recent literature disputes this contention. The aim of this document is to clarify that these proteins characterize inflammation rather than describe nutrition status or protein-energy malnutrition. Both critical illness and chronic illness are characterized by inflammation and, as such, hepatic reprioritization of protein synthesis occurs, resulting in lower serum concentrations of albumin and prealbumin. In addition, the redistribution of serum proteins occurs because of an increase in capillary permeability. There is an association between inflammation and malnutrition, however, not between malnutrition and visceral-protein levels. These proteins correlate well with patients' risk for adverse outcomes rather than with protein-energy malnutrition. Therefore, serum albumin and prealbumin should not serve as proxy measures of total body protein or total muscle mass and should not be used as nutrition markers. This paper has been approved by the American Society for Parenteral and Enteral Nutrition Board of Directors.

The Impact of a Dairy Milk Recovery Beverage on Bacterially Stimulated Neutrophil Function and Gastrointestinal Tolerance in Response to Hypohydration Inducing Exercise Stress.

The study aimed to determine the impact of a dairy milk recovery beverage immediately after endurance exercise on leukocyte trafficking, neutrophil function, and gastrointestinal tolerance markers during recovery. Male runners (N = 11) completed two feeding trials in randomized order, after 2hr of running at 70% V˙O2max, fluid restricted, in temperate conditions (25°C, 43% relative humidity). Immediately postexercise, the participants received a chocolate-flavored dairy milk beverage equating to 1.2g/kg body mass carbohydrate and 0.4g/kg body mass protein in one trial, and water volume equivalent in another trial. Venous blood and breath samples were collected preexercise, postexercise, and during recovery to determine the leukocyte counts, plasma intestinal fatty acid binding protein, and cortisol concentrations, as well as breath H2. In addition, 1,000µl of whole blood was incubated with 1μg/ml Escherichia coli lipopolysaccharide for 1hr at 37°C to determine the stimulated plasma elastase concentration. Gastrointestinal symptoms and feeding tolerance markers were measured preexercise, every 15min during exercise, and hourly postexercise for 3hr. The postexercise leukocyte (mean [95% confidence interval]: 12.7 [11.6, 14.0] × 109/L [main effect of time, MEOT]; p < .001) and neutrophil (10.2 [9.1, 11.5] × 109/L; p < .001) counts, as well as the plasma intestinal fatty acid binding protein (470pg/ml; +120%; p = .012) and cortisol (236nMol/L; +71%; p = .006) concentrations, were similar throughout recovery for both trials. No significant difference in breath H2 and gastrointestinal symptoms was observed between trials. The total (Trial × Time, p = .025) and per cell (Trial × Time, p = .001) bacterially stimulated neutrophil elastase release was greater for the chocolate-flavored dairy milk recovery beverage (+360% and +28%, respectively) in recovery, compared with the water trial (+85% and -38%, respectively). Chocolate-flavored dairy milk recovery beverage consumption immediately after exercise prevents the decrease in neutrophil function during the recovery period, and it does not account for substantial malabsorption or gastrointestinal symptoms over a water volume equivalent.

Maternal soy protein isolate diet during lactation programmes to higher metabolic risk in adult male offspring

Soy consumption and its components, including its protein, are related to the beneficial effects of the lipid profile, decreased insulin resistance and glycaemia. However, the safety of the consumption of products containing phytoestrogens in critical stages of development has been questioned, since they may be associated with endocrine-metabolic dysfunctions in adult life. The purpose is to evaluate the effects of maternal dietary soy protein isolate (SPI) during lactation on the breast milk composition, body composition, lipid and glycaemic profiles, and thyroid hormones of dams and offspring at weaning (21 days) and in adulthood (150 days). Lactating rats were divided into casein control (C) and SPI diet groups. At 150 days, the SPI offspring presented lower body protein mass and total mineral content, higher serum FT4, insulin, TC and TG. Maternal consumption of SPI during lactation programmes the progeny to higher metabolic risk profile.

Denture Wearing and Malnutrition Risk Among Community-Dwelling Older Adults.

Most studies have associated denture wearing with a higher risk of malnutrition and lower nutritional intake in the elderly. As the effect of wearing dentures remains debatable, the aim of this study was to determine if older adults wearing dentures have a higher risk of malnutrition. We recruited 294 Japanese community-dwelling adults aged ≥65 years from two elderly welfare centers in Sapporo. The Mini Nutritional Assessment-Short Form (MNA-SF) was used to assess their nutritional status. Their demographic characteristics, eating habits, and health status were assessed using a questionnaire. Moreover, salt-impregnated taste paper and bioelectrical impedance analysis were used to obtain salt taste sensitivity and body composition (body mass index and protein mass). The mean age of older adults was 75.8 ± 5.8 years and 71.1% were women. We found that 74.1% of the older adults wore dentures. The proportion of the whole population with a risk of malnutrition was 23.5%. Multivariate analysis revealed that partial denture wearing could be protective against the risk of malnutrition. In this study, we found more partial denture wearers with normal nutritional conditions and cooking by themselves than non-denture-wearing older adults. Furthermore, complete denture wearers were eating significantly less meats or fish every day. This study suggests that using partial dentures to replace the lost teeth to meet the dietary needs of the elderly is critical to maintaining a healthy nutritional status. Moreover, it also indicates the importance of providing education to older adults who wear complete dentures.

Precision livestock farming: real-time estimation of daily protein deposition in growing–finishing pigs

Precision feeding using real-time models to estimate daily tailored diets can potentially increase nutrient utilization efficiency. However, to improve the estimation of amino acid requirements for growing–finishing pigs, it is necessary to accurately estimate the real-time body protein (BP) mass. The aim of this study was to predict individual BP over time in order to obtain individual daily protein content of the gain (i.e., protein deposition/daily gain, PD/DG) to be integrated into a real-time model used for precision feeding. Two databases were used in this study: one for the development of the equations for the model and the other for model evaluation. For the equations, data from 79 barrows (25 to 144 kg BW) were used to estimate the parameters for a Gompertz function and a mixed linear-quadratic regression. Individual BP predictions obtained by dual X-ray absorptiometry were regressed as a function of BW. Individual pig BP estimates were obtained by linear-quadratic regression using the MIXED procedure of SAS, considering pig measurements repeated in time. Individual Gompertz curves were obtained using the NLMIXED procedure of SAS. Both procedures generate an average or a general model, which was assessed for accuracy with the database used to generate the equations. Coefficients of concordance and determination were both 0.99, and the RMSE was 0.21 kg for the linear-quadratic regression. The Gompertz curve coefficients of concordance and determination were both 0.99, and the RMSE was 0.36 kg. In sequence, the linear-quadratic regression and Gompertz curve were evaluated in an independent data set (488 observations; 21 to 126 kg BW). The linear-quadratic regression to predict BP mass was accurate (mean absolute percentage error (MAPE) = 2.5%; bias = 0.03); the Gompertz model performed worse (MAPE = 3.9%; bias = 0.04) than the linear-quadratic regression. When using the derivative of these equations to predict PD/DG, the linear-quadratic regression was more accurate (MAPE = 4.8%, bias = 0.17%) compared to the Gompertz (MAPE = 10.6%, bias = −0.99%) mainly due to the linear decrease in PD/DG in the observed data. Further analysis using individual pig data showed that the goodness of fit of PD/DG curve depends on the individual shape of the growth curve, with either the Gompertz or the linear-quadratic regression being more accurate for specific individuals. Therefore, both approaches are provided to allow end users to select the model that best fits their needs. The proposed update of the empirical component of the original model, using either linear-quadratic regression or the Gompertz function, is able to predict BP in real-time with good accuracy.

Heat production and body composition of primiparous Holstein cows with or without grazing pastures in early lactation

The aim of the study was to compare energy partitioning between heat production (HP) and retained (milk and body reserves) energy as well as energy efficiency of dairy cows assigned to different feeding strategies (with or without pasture grazing) during early lactation. At calving, 18 primiparous cows (528 ± 40 kg body weight (BW); 3.2 ± 0.2 body condition score (BCS); fall calving) were assigned in a randomized block design, during the first 61 days postpartum, to either (G0) mixed ration (PMR) ad libitum (58% forage:42% concentrate) +4.0 kg DM/d of an energy-protein concentrate in the milking parlor or (G1) grazing of alfalfa (6-h grazing in 3 days strips; 20 kg DM/d of pasture allowance) + PMR at 70% of ad libitum intake +4.0 kg DM/d of an energy-protein concentrate in the milking parlor. Diets were composed by 77% PMR and 23% concentrate for G0 cows and 54% PMR, 22% concentrate and 24% pasture for G1 cows. Heat production (HP) was measured at 40 ± 3 days postpartum by the O2 pulse technique and energy retained (RE) in milk and body tissue was estimate based on NRC equations for the period between 26 and 54 ± 3 days postpartum. In addition, body composition was determined using the urea dilution technique at −7 and 40 ± 3 days postpartum. Absolute body water, fat and protein mass, and gross RE decreased from −7 to +40 days but the decrease in fat mass and gross RE was 10% greater for G1 than G0 cows. In addition, during this period relative lipid mass and gross energy content decreased only in the G1cows. During the second month of lactation (from 26 to 54 days), the G0 cows tended to produce 6% more milk and had 0.3 units more of BCS than the G1 cows. Both RE in milk and in body tissue were greater for G0 than G1 cows (7% and 3-fold greater, respectively). No differences were found in metabolizable energy (ME) intake and HP measured at +40 days between the cow groups. However, residual HP (difference between HP measured and predicted HP calculated from BW0.75 and total RE on the assumption of constant efficiency coefficients), expressed as percentage of ME intake, tended to be 10% less for G0 than G1 cows. The adjusted gross energy efficiency (total RE divided by ME intake) tended to be greater for G0 than G1 cows. The results indicated that 100% PMR fed cows were more efficient, secreting more energy in the milk and retaining more energy in the body tissue than grazing cows supplemented with PMR. This was probably due to an increase of about 10% in maintenance requirements associated to greater forage content in the diet and/or grazing and walking activities in grazing cows.

Body composition of male and female Chilean powerlifters of varying body mass

Abstract Aim: To examine body composition of Chilean powerlifters according to body mass and sex. Methods: Fifty-six male and female powerlifters were recruited from one national competition. Aside from the official weight categories, males were classified as the lightweight, middleweight, and heavyweight classes. Similarly, females were classified as lightweight and middle-heavyweight classes. Nineteen anthropometric measures were assessed, with lean mass as the main outcome. A one-way ANOVA was used to compare groups. Results: Male lightweight class lifted less (p<0.01) total load (417±30.9 kg) compared to heavier male classes (524±66.7 kg, middleweight; 581±131 kg, heavyweight), and female classes lifted less (p<0.01) total load (221±33.8 kg, lightweight; 254±48.3 kg, middleweight-heavyweight) compared to all male classes. Regarding lean-mass in trunk, arms and legs, total body protein, water, and mineral mass, all male groups had greater (p<0.01) values than the groups of females, while lightweight males had lower (p<0.01) values than the rest of male groups, and heavyweight males had greater (p<0.01) values than the total sample of males (except for legs lean mass, and total bone mineral content). In females, no significant differences were observed between classes, or in total load lifted or in body composition. Conclusion: Heavier male lifters had significantly greater lean mass than lighter athletes. Therefore, powerlifting performance was affected by anthropometric measures, as corroborated by 1-RM scores. However, there was a general lack of differences in body composition between female weight classes, and, as a result, a lack of differences in 1RM performance.