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Macronutrient

Macronutreints are the three main types of nutrients that provide the body with energy and support vital functions.
These include carbohydrates, proteins, and fats.
Carbohydrates serve as the primary source of fuel for the body, while proteins are essential for tissue repair and growth.
Fats play a crucial role in hormone production, nutrient absorption, and energy storage.
Maintaining the proper balance of macronutreints is crucial for overall health and wellness, as they each have unique metabolic pathways and physiological effects.
Understanding the role and importance of macronutreints is key for developing optimized research protocols and nutritional interventions.

Most cited protocols related to «Macronutrient»

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Publication 2012
Alcoholic Beverages Amniotic Fluid Beer Beverages Black Tea Carbohydrates Coffee Diet Drinks Eating Energy Drinks Fat-Restricted Diet Food Light Macronutrient Milk Soft Drinks Vegetable Juices Water Consumption Wine

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Publication 2013
Acclimatization Adolescent Adult Body Composition Body Weight Child Energy Metabolism Food Human Body Macronutrient Metabolism Physical Examination Physiological Processes Resting Metabolic Rate
In the randomized maintenance phase, which was initiated immediately after participants completed the weight-loss phase, participants were assigned to one of five diets, in a two-by-two factorial design: a diet that was low in protein (13% of total energy consumed) with a low glycemic index, a diet that was low in protein with a high glycemic index, a diet that was high in protein (25% of total energy consumed) with a low glycemic index, a high-protein and high-glycemic-index diet, or a control diet. The control diet, which followed dietary guidelines in each participating country, had a moderate protein content and did not include instructions to participants with respect to the glycemic index.
Study participants were instructed to maintain their weight loss during this phase, although further weight reduction was allowed. All five diets were designed to have a moderate fat content (25 to 30% of total energy consumed) with no restrictions on energy intake (i.e., ad libitum diets), in order to test the ability of the diets to regulate appetite and body weight. We targeted a difference of 15 glycemic-index units between the high-glycemic-index diets and the low-glycemic-index diets and a difference of 12% of total energy consumed from protein between the high-protein diets and the low-protein diets. Visits for dietary counseling took place every other week during the first 6 weeks and monthly thereafter. The families were provided with recipes, cooking and behavioral advice, and a point-based teaching system to achieve the targeted macronutrient compositions.13 (link)In Maastricht and Copenhagen (“shop centers”), the families received dietary instruction plus free foods from the laboratory shop for 26 weeks so that we could assess the effect that the provision of food would have on adherence. In the other six centers (“instruction centers”), the families were provided with dietary instruction only.14 (link),15 (link) Local sponsors made financial contributions to the shop centers, and food manufacturers provided a number of foods free of charge. The local sponsors and food manufacturers had no influence on the selection of foods found in the two shops, nor were they involved in designing the study or in analyzing and interpreting data.
Publication 2010
Body Weight Diet Diet, High-Protein Diet, Protein-Restricted Food Hyperglycemia Hypoglycemia Macronutrient Proteins Therapy, Diet

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Publication 2010
Alcoholic Beverages Beverages Coffee Energy Drinks Eyeglasses Food Macronutrient Soft Drinks Sugars Sweetened Drinks Water Consumption
The nutrient goals for the four diet groups were: 20% fat, 15% protein, and 65% carbohydrates (low-fat, average-protein); 20% fat, 25% protein, and 55% carbohydrates (low-fat, high-protein); 40% fat, 15% protein, and 45% carbohydrates (high-fat, average-protein); and 40% fat, 25% protein, and 35% carbohydrates (high-fat, high-protein). Thus, two diets were low-fat and two were high-fat, and two were average-protein and two were high-protein, constituting a two-by-two factorial design. The four diets also allowed for a dose–response test of carbohydrate intake that ranged from 35 to 65% of energy. Other goals for all groups were that the diets should include 8% or less of saturated fat, at least 20 g of dietary fiber per day, and 150 mg or less of cholesterol per 1000 kcal. Carbohydrate-rich foods with a low glycemic index were recommended in each diet. Each participant’s caloric prescription represented a deficit of 750 kcal per day from baseline, as calculated from the person’s resting energy expenditure and activity level.
Blinding was maintained by the use of similar foods for each diet. Staff and participants were taught that each diet adhered to principles of a healthful diet29 (link) and that each had been recommended for long-term weight loss, thereby establishing equipoise.1 (link),2 (link),26 (link) Investigators and staff who measured outcomes were unaware of the diet assignment of the participants.
Group sessions were held once a week, 3 of every 4 weeks during the first 6 months and 2 of every 4 weeks from 6 months to 2 years; individual sessions were held every 8 weeks for the entire 2 years. Daily meal plans in 2-week blocks were provided (see the Supplementary Appendix). Participants were instructed to record their food and beverage intake in a daily food diary and in a Web-based self-monitoring tool that provided information on how closely their daily food intake met the goals for macronutrients and energy. Behavioral counseling was integrated into the group and individual sessions to promote adherence to the assigned diets. Contact among the groups was avoided.
The goal for physical activity was 90 minutes of moderate exercise per week. Participation in exercise was monitored by questionnaire30 (link) and by the online self-monitoring tool.
Publication 2009
ARID1A protein, human Beverages Carbohydrates Cholesterol Diet Dietary Fiber Eating Energy Metabolism Equipoise Fat-Restricted Diet FAT1 protein, human Food Infantile Neuroaxonal Dystrophy Macronutrient Nutrients Proteins Saturated Fatty Acid Teaching Therapy, Diet

Most recents protocols related to «Macronutrient»

Participants were randomized to the prebiotic or a placebo shake to be administered with metformin (850mg tablets) prior to visit 2 (Supplemental Figure S2). Three study agents were used: metformin standard release 850mg oral tablet, BiomeBliss® powder, and placebo powder. Metformin 850 mg tablets were used within the approved dosing regimens as follows: at the start of each period (visit 2/4), participants took metformin 850mg once daily x 3 days, and the dose increased to 850mg twice daily for the remainder of the study period. The placebo or prebiotic supplement was dispensed as packets, for which participants received 1 packet once daily x 3 days and 1 packet twice daily for the remainder of the study period. All study medications were taken together. The macronutrient composition of the prebiotic supplement and placebo composition are illustrated in Supplemental Table S1. Study randomization was performed by an independent statistician with 1:1 allocation ratio. Blinding of the investigators and participants was maintained throughout the study. Medication adherence was determined by co-author (LM) who adjudicated pill and sachet counts at each visit.
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Publication 2023
Contraceptives, Oral Macronutrient Metformin Pharmaceutical Preparations Placebos Powder Prebiotics Treatment Protocols Tremor
The study timeline and protocol are presented in Supplementary Figure S2. After screening, if the participants were on metformin, they discontinued their metformin therapy for a 7 day washout period., Participants wore the Dexcom G6® continuous glucose monitor (CGM) for glycemic management and monitoring. This study was conducted in two phases: Phase 1 (a randomized double-blind crossover trial) and Phase 2 (an open-label extension). Weekly GI symptom questionnaires were completed to assess metformin tolerability.
Phase 1 consisted of two interventions including 1) metformin/prebiotic supplementation BiomeBliss®, and 2) metformin/placebo, with 5 study visits over 5 weeks. Participants were randomized to either intervention during Period 1 or Period 2. Following Period 1, participants underwent a two week washout based on literature documenting microbiome changes occurring within 24 hours (28 (link)) and to exceed >5 half-lives off metformin elimination (6-8 hours, and in the erythrocytes is 23 hours (29 (link)).
Phase 2 was an open label 4-week extension of metformin/prebiotic supplementation during which all participants were asked to continue taking metformin (850mg) with the prebiotic shake twice daily. After one month (visit 6), participants were evaluated with a protocol that was identical to visits 3 and 5.
During Periods 1 and 2, participants were provided with prepared pack-out meals with controlled macronutrient content and dietary fiber. The energy provided was based on estimated energy needs using the Mifflin St Jeor equation and a standard activity factor of 1.3 (30 (link)) with the goal of weight maintenance during the study. Menus were individualized to the participant’s food preferences and aimed to meet a macronutrient distribution of 15% protein, 35% fat, and 50% carbohydrate. Fiber content was not controlled across participants but was consistent within participants for Period 1 and Period 2 based on food record. Menu items avoided dietary sources of probiotics (yogurt) and non-nutritive sweeteners. Pack-out meals were not provided during Phase 2.
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Publication 2023
A-factor (Streptomyces) Carbohydrates Diet Dietary Fiber Erythrocytes factor A Fibrosis Food Glucose Macronutrient Metformin Microbiome Non-Nutritive Sweeteners Placebos Prebiotics Probiotics Staphylococcal Protein A Therapeutics TimeLine Tremor Yogurt
A nutritional interview comprising a 24-hour recall of dietary intake was conducted, with participants providing information on specific foods and quantities. Following the instruction of the Nutrient Composition Data Bank, the grams of nutrient components (carbohydrate, protein, fat, cholesterol, saturated fatty acids, monounsaturated fatty acid, and polyunsaturated fatty acid) were recorded and calculated.
In our study, the absolute quantity and percentage of energy intake from each macronutrient were categorized into gender-specific quartiles (Q1, Q2, Q3, and Q4). Additionally, the contribution of carbohydrates, proteins, and fatty acids to the overall amount of energy intake (% of total energy consumed) was calculated. The quartile variables were modeled as dummy variables, comparing each quartile to the lowest one (Q1).
In accordance with the American Gastroenterological Association’s (AGA) guidelines for lifestyle modification for NAFLD management, we further grouped individuals based on their calorie and protein intake (7 (link)). The definition of a hypocaloric diet was < 1200 kcal/day for women and < 1500 kcal/day for men. In addition, the relative daily protein intake of participants was graded as low (< 1.2 g/kg), adequate (1.2–1.5 g/kg), and high (> 1.5 g/kg) based upon recommendations for patients with sarcopenia.
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Publication 2023
Carbohydrates Cholesterol Diet Fatty Acids Fatty Acids, Monounsaturated Food Gender Macronutrient Mental Recall Non-alcoholic Fatty Liver Disease Nutrients Patients Polyunsaturated Fatty Acids Proteins Sarcopenia Saturated Fatty Acid Woman
Sampling was performed on board of the RSV Aurora Australis (AU1602, AA-V02 2016/17) between 8 December 2016 and 21 January 2017, in one station belonging to the Dalton polynya (D02) and two stations (M36 and M48) located within the Mertz polynya (East Antarctica; 67.2–66.8 °S and 119.5–145.8°E; Supplementary Figure S1A). These stations were chosen due to their contrasting biological, chemical, and physical characteristics, extensively described and discussed by Moreau et al. (2019) (link) and Ratnarajah et al. (2022) (link). For comparison with Ratnarajah et al. (2022) (link), D02 refers to St.2; M36 is EM03 and M48 is MG08. Briefly, both polynyas had similar sea surface temperatures ranging majorly between 0.0 and 1.5°C, but the Dalton polynya showed higher sea surface salinity than the Mertz polynya (34.0–34.3 g/kg vs. 32.5–33.5 g/kg, respectively), suggesting that the later could have experienced more sea ice melting than the Dalton polynya (Moreau et al., 2019 (link)). The Dalton polynya presented deeper euphotic depths (95 ± 56 m) and mixed layer depths (25 ± 12 m, excluding two stations where the mixed layer was down to 100 m and 154 m) than the Mertz polynya (40 ± 9 m and 13 ± 1 m, respectively) (Ratnarajah et al., 2022 (link)). In general, chlorophyll-a (Chl-a) concentrations in the surface were higher in the Dalton polynya compared to the Mertz polynya (max of 15 μg L−1 vs. 8 μg L−1), but Mertz presented a subsurface Chl-a maximum of ~10 μg L−1 located between 20 and 70 m depth that was consistent along the whole polynya, whereas in the Dalton that layer was more variable (Moreau et al., 2019 (link)). Both polynyas also presented global differences in nutrient ratios (i.e., Si:N or N:P) suggesting different nutrient sources (i.e., water masses) and different phytoplanktonic communities, something which was also corroborated by microscope analyses (Moreau et al., 2019 (link)). During the time of sampling, the dominant phytoplankton groups differed between both polynyas, with Phaeocystis antarctica dominating in the Dalton station and diatoms dominating in the much more productive Mertz stations (Moreau et al., 2019 (link)).
The sampling and analyses of physicochemical and environmental parameters were performed as described in Moreau et al. (2019) (link) and Ratnarajah et al. (2022) (link). Temperature and salinity were obtained from the CTD (Rosenberg and Rintoul, 2017 ) and fluorescence values were obtained with a fluorometer (ECO-AFL/FL 756, Wetlabs, United States) that was installed also on the CTD rosette. Of particular interest for this study is the concentration of Chl-a, particulate organic carbon (POC) and inorganic nutrients. Chl-a concentrations were obtained from ~500 ml of filtered seawater, extracted with acetone and stored at −20°C for 24–48 h in the dark prior to analysis with a Turner Trilogy fluorometer. POC was determined following Knap et al. (1996) and analyzed using a Thermo Finnigan EA 1112 Series Flash Elemental Analyzer. Concentrations of inorganic macronutrients (nitrate, nitrite and silicic acid) were analyzed after the voyage at the CSIRO laboratory (Hobart, Australia) following the methods described in Murphy and Riley (1962) (link), Armstrong et al. (1967) (link), Wood et al. (1967) (link) and Kérouel and Aminot (1997) (link).
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Publication 2023
A-A-1 antibiotic Acetone Biopharmaceuticals Carbon chlorophyll a' Diatoms Fluorescence Macronutrient Microscopy Nitrates Nitrites Nutrients Phaeocystis Physical Examination Phytoplankton Salinity Sea Ice Cover Silicic acid
In support of the goal of determining whether cell growth will in fact occur within the AC- PBR and at what level of productivity, two runs with each of the three selected microalgal species were conducted in the respective media. An initial inoculum (O.D.680 nm = 0.6–0.8) of 10% (v/v) was used for all the species examined. Once suitable cellular O.D. was achieved in the shaker culture flasks, each algal suspension was harvested and added to freshly prepared medium, as described in “Microalgae cultivation” section. Prior to addition of the algae, the medium was enhanced by bubbling in filtered compressed CO2 gas until solution saturation was reached (i.e., dropping pH stabilized) followed by addition of saturated sodium bicarbonate (NaHCO3 = 48 g/L) until neutral pH was achieved. The final volume was increased stoichiometrically with macronutrient solution based on the amount of added NaHCO3.
Before AC-PBR test commencement, each air-filled AC-PBR was placed under a UV-C germicidal lamp for 15 min to sterilize the interior volume and prevent contamination. Through a small opening in the AC, approximately 190 mL (working volume) of algal cell suspension were pipetted inside with any extra air removed, and the AC-PBR (total volume 380 mL) was resealed using a VacMaster Pro110 external vacuum sealer machine. The system was checked for leaks.
The AC-PBRs for each algal strain was kept under two rows of LED with light intensity of 180 µmol/m2s with a 16:8-h (light:dark) photoperiod, no shaking at 25 °C. The cultivation was carried till each alga reached early stationary phase (C. vulgaris- 6 days, N. oculata- 8 days and C. cryptica-7 days). Photos of the AC-PBR microalgal cultivation test set-up for each strain can be found in Supplementary Data.
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Publication 2023
Bicarbonate, Sodium Cells Light Macronutrient Microalgae Somatostatin-Secreting Cells Sterilization Strains Vacuum Volition

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More about "Macronutrient"

Macronutrients, the fundamental building blocks of a balanced diet, comprise the three primary types of nutrients that provide the body with essential energy and support vital physiological functions.
These include carbohydrates, proteins, and lipids (fats).
Carbohydrates serve as the primary fuel source for the body, powering our cells and fueling physical activity.
Proteins are crucial for tissue repair, growth, and maintenance, playing a pivotal role in the body's structural integrity and immune function.
Lipids, on the other hand, are instrumental in hormone production, nutrient absorption, and energy storage.
Understanding the intricate balance and interplay of these macronutrients is paramount for optimizing research protocols and developing effective nutritional interventions.
Leveraging the insights from tools like SAS 9.4, D12492, and the Food Processor software, researchers can delve deeper into the metabolic pathways and physiological effects of macronutrients, empowering them to design studies that yield meaningful insights.
When it comes to animal models, Sprague-Dawley rats and C57BL/6J mice have been extensively utilized to investigate the impact of macronutrient composition on various health outcomes.
Statistical analysis software like SPSS, in its various versions (SPSS v21, SPSS 20.0, SPSS Statistics version 24), have been instrumental in interpreting the data and uncovering trends.
To enhance the precision and effectiveness of macronutrient research, the novel AI-driven platform PubCompare.ai offers a transformative solution.
By leveraging intelligent comparison tools, researchers can effortlessly locate the best protocols and products from literature, pre-prints, and patents, ultimately taking their work to new heights.
With PubCompare.ai's cutting-edge macronutrient analysis capabilities, including the integration of the VG Prima δB algorithm, researchers can unlock a deeper understanding of these essential nutrients and their impact on overall health and wellness.