Data for testing and validation of Fast UniFrac came from four main sources: (1) a large meta-analysis of Sanger-sequencing data from a wide range of different host-associated and free-living environments (Ley et al., 2008b (link)), (2) an analysis of how gut bacterial populations change in obese humans on fat and carbohydrate restricted diets (Ley et al., 2006 (link)) (3) pyrosequencing studies of the human hand (Fierer et al., 2008 (link)), and of fecal microbiota of lean and obese twin pairs and their mothers (Turnbaugh et al., 2009 (link)), and (4) a PhyloChip study of citrus pathogens (Sagaram et al., 2009 (link)). These studies were chosen as they represent some of the largest datasets for their respective types of analyses. A reference tree was assembled from the Greengenes core set (DeSantis et al., 2006 (link)): both this tree and the PhyloChip G2 reference tree are available from the Fast UniFrac web site.
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Diet, Carbohydrate-Restricted
Diet, Carbohydrate-Restricted
Diet, Carbohydrate-Restricted: A dietary pattern characterized by a reduced intake of carbohydrates, often accompanied by an increased consumption of proteins and fats.
This approach aims to optimize metabolic health and support various research objectives, such as weight management, glycemic control, and the study of underlying mechanisms.
Carbohydrate-restricted diets have been investigated for their potential benefits in areas like obesity, type 2 diabetes, and other metabolic conditions.
Researchers can utilize PubCompare.ai's AI-driven tool to easily identify and compare the best protocols and products from published literature, pre-prints, and patents, enhancing the reproducibility and accuracy of their carbohydrate-restricted studies.
This approach aims to optimize metabolic health and support various research objectives, such as weight management, glycemic control, and the study of underlying mechanisms.
Carbohydrate-restricted diets have been investigated for their potential benefits in areas like obesity, type 2 diabetes, and other metabolic conditions.
Researchers can utilize PubCompare.ai's AI-driven tool to easily identify and compare the best protocols and products from published literature, pre-prints, and patents, enhancing the reproducibility and accuracy of their carbohydrate-restricted studies.
Most cited protocols related to «Diet, Carbohydrate-Restricted»
Bacteria
Citrus
Diet, Carbohydrate-Restricted
Feces
Homo sapiens
Host Range
Microbial Community
Mothers
Obesity
Pathogenicity
Population Group
Trees
Twins
Body Weight
Carbohydrates
Diet
Diet, Carbohydrate-Restricted
Energy Metabolism
factor A
Fat-Restricted Diet
neuro-oncological ventral antigen 2, human
Therapy, Diet
Tooth Attrition
Carbohydrates
Diabetes Mellitus
Diet
Diet, Carbohydrate-Restricted
Dietary Carbohydrates
Dietary Fats
Fat-Restricted Diet
Human Body
Proteins
Waist Circumference
The validated WHOQOL-BREF (Hong Kong version) was used to measure QOL [1 , 21 (link)]. It consists of 24 items to assess perception of quality of life in four domains, including physical health, psychological, social relationships and environment, and two items on overall QOL and general health. The domain scores were transformed into a linear scale between 0 and 100 following the scoring guidelines [1 ]. A higher score indicated a better QOL. Physical activities were assessed by the International Physical Activity Questionnaire short form (IPAQ-SF) which is adequately reliable and valid in a Chinese population [22 ]. Walking, moderate-intensity and vigorous-intensity activities were assessed. The total MET-minutes/week was calculated for each participant. Metabolic Equivalent of Task (MET) is the energy cost of physical activities [23 (link)]. Physical activity levels were categorized as low, moderate and high, based on the criteria listed on the IPAQ guidelines [22 ]. People have to answer all questions on number of days in a week and daily time performing walking, moderate and vigorous activities in order to calculate their total MET and identify their physical activity levels. Those who were unable or refused to answer all these questions were removed from the analysis according to the IPAQ guidelines [22 ]. Smoking, alcohol drinking, and vegetable and fruit intakes were also assessed. For practicing low fat, low salt and low sugar diets, respondents could choose “never (1)”, “seldom (2)”, “sometimes (3)” and “always (4)”. Seven questions on satisfaction with the neighborhood environment with a five-point Likert scale (1: very unsatisfied; 5: very satisfied) were used to evaluate air quality, ventilation, drinking water quality, noise condition, lighting condition, environmental hygiene, and environmental protection and recycling. Six questions on satisfaction with open spaces including greening, parks and gardens, recreation and sports facilities, promenade, rest areas and pedestalization were also assessed using the same Likert scale. Socio-demographic profiles of the residents were also assessed.
Test-retest reliability of the questionnaire had been tested with 64 subjects before implementation of the main study. All question items showed a Cohen’s kappa value ranged from 0.50–1.00 or an intraclass correlation coefficient value ranged from 0.55–1.00, which indicated that the reliability of the questionnaire was fair to excellent.
Test-retest reliability of the questionnaire had been tested with 64 subjects before implementation of the main study. All question items showed a Cohen’s kappa value ranged from 0.50–1.00 or an intraclass correlation coefficient value ranged from 0.55–1.00, which indicated that the reliability of the questionnaire was fair to excellent.
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Chinese
Diet, Carbohydrate-Restricted
Fat-Restricted Diet
Fruit
Metabolic Equivalent
Physical Examination
Satisfaction
Sodium Chloride, Dietary
Vegetables
Animals
calcium phosphate
Carbohydrates
Carbonate, Calcium
Choline
Citrate, Choline
Diet
Diet, Carbohydrate-Restricted
Drug Overdose
Eating
Hydrogen
Joint Dislocations
Ketogenic Diet
Mice, House
Minerals
Neck
Proteins
Therapy, Diet
Vitamins
Most recents protocols related to «Diet, Carbohydrate-Restricted»
Participants completed a validated food frequency questionnaire (FFQ) [19 (link)]. Baseline dietary intake data which was taken from food composition tables, was used to recognize CQI according to the four criteria: the GI, the ratio of carbohydrates of whole grains to carbohydrates of total grains, the proportion of solid carbohydrates to total carbohydrates, and total dietary fiber intake. Liquid carbohydrates such as fruit juice and sugar-sweetened beverage consumption, while solid carbohydrates were matched to the carbohydrate content of the rest of the meal with each carbohydrate content. The total score range was between 4 and 20 (higher amounts mean better quality of carbohydrates) [7 (link), 20 ].
For calculating the LCDS, all participants were divided into 11 strata for carbohydrate, refined grains, monounsaturated fatty acid (MUFA), vegetable protein intake, fiber (g/1000 kcal), GL, and polyunsaturated fatty acid (PUFA)(n3/n6) [14 (link)]. For MUFA, n3/n6 PUFA, fiber, and vegetable protein, participants in the highest stratum got 10 points and lowest stratum got 0 points. For refined grains, GL and carbohydrates, the intake of the lowest carbohydrate got 10 points and the intake of the highest carbohydrate got 0 points. Finally, the overall diet score was between 0 (the lowest intake of protein and fat and the highest intake of carbohydrates) and 70 (the highest intake of protein and fat and the lowest carbohydrates). So the higher the score, the higher the low-carbohydrate diet pattern named “LCDS”.
GI was calculated from this formula: (GI × available carbohydrate)/total available carbohydrate. Available carbohydrate means total carbohydrate minus fiber [21 (link)]. The United States Department of Agriculture food composition table was used for total carbohydrate and fiber content. Iranian GI table was just used for 6 out of 85 foods [21 (link)]. For 62 other foods, international tables were used [21 (link)], and for 17 foods, we used similar foods because the GI of these foods was not accessible. The GL was calculated from this formula: (total GI × total available carbohydrate/100).
II refers to the increase in insulin level under the curve during 2 h in reaction to 1000 kJ of test food divided by the area under the curve after consumption of 1000 kJ of reference food. Previous studies were used to obtain the II. II of similar foods was used for some items that were not in the list of foods based on the relationship between carbohydrate, fiber, protein, fat, and energy content. For example, raisins were used for dates. To assess IL for each person, IL was calculated (II of the food × energy of one gram of that food × amount of the food eaten) then the IL of each food was summed and then II was calculated (IL/total energy intake) [22 (link)–25 (link)].
For calculating the LCDS, all participants were divided into 11 strata for carbohydrate, refined grains, monounsaturated fatty acid (MUFA), vegetable protein intake, fiber (g/1000 kcal), GL, and polyunsaturated fatty acid (PUFA)(n3/n6) [14 (link)]. For MUFA, n3/n6 PUFA, fiber, and vegetable protein, participants in the highest stratum got 10 points and lowest stratum got 0 points. For refined grains, GL and carbohydrates, the intake of the lowest carbohydrate got 10 points and the intake of the highest carbohydrate got 0 points. Finally, the overall diet score was between 0 (the lowest intake of protein and fat and the highest intake of carbohydrates) and 70 (the highest intake of protein and fat and the lowest carbohydrates). So the higher the score, the higher the low-carbohydrate diet pattern named “LCDS”.
GI was calculated from this formula: (GI × available carbohydrate)/total available carbohydrate. Available carbohydrate means total carbohydrate minus fiber [21 (link)]. The United States Department of Agriculture food composition table was used for total carbohydrate and fiber content. Iranian GI table was just used for 6 out of 85 foods [21 (link)]. For 62 other foods, international tables were used [21 (link)], and for 17 foods, we used similar foods because the GI of these foods was not accessible. The GL was calculated from this formula: (total GI × total available carbohydrate/100).
II refers to the increase in insulin level under the curve during 2 h in reaction to 1000 kJ of test food divided by the area under the curve after consumption of 1000 kJ of reference food. Previous studies were used to obtain the II. II of similar foods was used for some items that were not in the list of foods based on the relationship between carbohydrate, fiber, protein, fat, and energy content. For example, raisins were used for dates. To assess IL for each person, IL was calculated (II of the food × energy of one gram of that food × amount of the food eaten) then the IL of each food was summed and then II was calculated (IL/total energy intake) [22 (link)–25 (link)].
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Carbohydrates
Cereals
Diet
Diet, Carbohydrate-Restricted
Diet, Protein-Restricted
Eating
Fatty Acids, Monounsaturated
Fibrosis
Food
Fructose
Insulin
Lattice Corneal Dystrophy, Type I
Omega-3 Fatty Acids
Plant Proteins, Dietary
Polyunsaturated Fatty Acids
Proteins
Raisins
Sugar-Sweetened Beverages
Whole Grains
This study was approved by the Ethical Committee of the Faculty of Veterinary Medicine, Ghent University, Belgium (EC 2011/056). Twelve healthy Beagles with a mean age of 6.0 years old were included in this study. Six Beagles (one spayed and three intact females; two intact males) were lean, with a body condition score of 4–5/9, and six Beagles (two intact females and two intact males) were obese, with a body condition score of 8–9/9. Obesity was induced ∼1 year before the present study by feeding the dogs a high-fat commercial diet as described by Van de Velde et al. (2013 (link)). Before the study, dogs were deemed healthy (apart from obesity in four dogs), based on physical exams, complete blood counts, and serum biochemistry.
Two isocaloric experimental diets, a high-protein/low-carbohydrate (HPLC) diet consisting of 50.0 g crude protein, 12.2 g ether extract, and 32.2 g nitrogen-free extract on 100 g dry matter basis, and a low-protein/high-carbohydrate (LPHC) diet consisting of 17.8 g crude protein, 13.6 g ether extract, and 62.3 g nitrogen-free extract on 100 g dry matter basis were formulated with the same ingredients (Co. NV Versele-Laga, Deinze, Belgium). Full details of the ingredients and dietary composition were described previously (Xu et al. 2017 (link)), and the main ingredients are presented inSupplementary Table S1 . Both diets met the minimal requirement for adult dogs according to the National Research Council (2006 ). The initial amount of feed offered was calculated based on individual maintenance energy requirements according to individual history and adjusted to maintain a stable body weight throughout the study. Dogs were fed twice daily and had free access to water.
The study was designed as a crossover with two 4-week periods. The first 3 weeks consisted of an adaptation period and samples were taken in the fourth week (on day 27). In the first period, three lean and obese dogs were randomly selected and assigned to the LPHC diet first, whilst the other three lean and obese dogs received the HPLC diet. In the second period, diets were switched. Each dog was therefore assigned to one of four groups (group 1: lean dogs received the LPHC diet first; group 2 lean dogs received the HPLC diet first; group 3 obese dogs received the LPHC diet first; group 4 obese dogs received the HPLC diet first). On day 27 of each period, fresh faecal samples were collected within 10 min after spontaneous voiding. An aliquot of ±2 g was placed into a sterile plastic tube, frozen immediately on dry ice, lyophilized as soon as possible, and stored at −80 °C in preparation for metabolomics analysis. Two obese dogs were excluded from the metabolomics analysis due to an insufficient amount of faecal samples, and as such, each group ended up containing three lean and two obese dogs.
Two isocaloric experimental diets, a high-protein/low-carbohydrate (HPLC) diet consisting of 50.0 g crude protein, 12.2 g ether extract, and 32.2 g nitrogen-free extract on 100 g dry matter basis, and a low-protein/high-carbohydrate (LPHC) diet consisting of 17.8 g crude protein, 13.6 g ether extract, and 62.3 g nitrogen-free extract on 100 g dry matter basis were formulated with the same ingredients (Co. NV Versele-Laga, Deinze, Belgium). Full details of the ingredients and dietary composition were described previously (Xu et al. 2017 (link)), and the main ingredients are presented in
The study was designed as a crossover with two 4-week periods. The first 3 weeks consisted of an adaptation period and samples were taken in the fourth week (on day 27). In the first period, three lean and obese dogs were randomly selected and assigned to the LPHC diet first, whilst the other three lean and obese dogs received the HPLC diet. In the second period, diets were switched. Each dog was therefore assigned to one of four groups (group 1: lean dogs received the LPHC diet first; group 2 lean dogs received the HPLC diet first; group 3 obese dogs received the LPHC diet first; group 4 obese dogs received the HPLC diet first). On day 27 of each period, fresh faecal samples were collected within 10 min after spontaneous voiding. An aliquot of ±2 g was placed into a sterile plastic tube, frozen immediately on dry ice, lyophilized as soon as possible, and stored at −80 °C in preparation for metabolomics analysis. Two obese dogs were excluded from the metabolomics analysis due to an insufficient amount of faecal samples, and as such, each group ended up containing three lean and two obese dogs.
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Acclimatization
Adult
Animals
Body Weight
Canis familiaris
Carbohydrates
Complete Blood Count
Diet
Diet, Carbohydrate-Restricted
Diet, High-Fat
Diet, High-Protein Low-Carbohydrate
Diet, Protein-Restricted
Dry Ice
Ethyl Ether
Faculty
Feces
Females
Freezing
G-substrate
GTP-Binding Proteins
Human Body
LAGA
Males
Nitrogen
Obesity
Physical Examination
Proteins
Serum
Sterility, Reproductive
The preparation, acquisition, and evaluation of [18F]FDG PET/CT were all performed in accordance with the European Association of Nuclear Medicine (EANM) guidelines [11 (link)].
A 24 h high-fat, low-carbohydrate diet and 6 h fasting time prior to the scan were used in all patients. Additionally, if there were no contra-indications against its use, an intravenous heparin injection of 50 IU/kg was given 15 min prior to the scan to further suppress physiological [18F]FDG uptake. All scans were acquired on the Biograph Vision digital PET/CT system (Siemens Healthineers, Knoxville, TN, USA). Gating was performed using co-registration of an ECG, both for regular gating (single gate) and CardioFreezeTM, and in which the sequences were performed in a single-bed position for 10 min, immediately after the regular non-gated [18F]FDG PET/CT scan had been completed.
A 24 h high-fat, low-carbohydrate diet and 6 h fasting time prior to the scan were used in all patients. Additionally, if there were no contra-indications against its use, an intravenous heparin injection of 50 IU/kg was given 15 min prior to the scan to further suppress physiological [18F]FDG uptake. All scans were acquired on the Biograph Vision digital PET/CT system (Siemens Healthineers, Knoxville, TN, USA). Gating was performed using co-registration of an ECG, both for regular gating (single gate) and CardioFreezeTM, and in which the sequences were performed in a single-bed position for 10 min, immediately after the regular non-gated [18F]FDG PET/CT scan had been completed.
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Diet, Carbohydrate-Restricted
Europeans
F18, Fluorodeoxyglucose
Heparin
Patients
physiology
Radionuclide Imaging
Scan, CT PET
The inclusion criteria were as follows: the subject signed a written informed consent form to participate in the study, was a male aged between 20 and 40, and had a body mass index between 18.5 and 25. The exclusion criteria were as follows: the subject was a smoker; was receiving drug treatment; had digestive abnormalities; was allergic to milk, soybeans, or pork; had lactose intolerance; was currently on a low-carbohydrate diet or a ketogenic diet; or had an abnormal value in blood biochemical tests (fasting blood glucose, hemoglobin A1c, aspartate aminotransferase, alanine aminotransferase, alkaline phosphatase, γ-glutamyl transferase, blood urea nitrogen, uric acid, creatinine, triglycerides, high-density lipoprotein cholesterol, C-reactive protein, red blood cells, white blood cells, hemoglobin, hematocrit, and platelet count).
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Alkaline Phosphatase
Aspartate Transaminase
Blood Glucose
C Reactive Protein
Creatinine
D-Alanine Transaminase
Diet, Carbohydrate-Restricted
Digestive System Abnormality
Erythrocytes
gamma-Glutamyl Transpeptidase
Hematologic Tests
Hemoglobin
Hemoglobin A, Glycosylated
High Density Lipoprotein Cholesterol
Index, Body Mass
Ketogenic Diet
Lactose Intolerance
Leukocytes
Males
Milk, Cow's
Pharmaceutical Preparations
Platelet Counts, Blood
Pork
Soybeans
Triglycerides
Urea Nitrogen, Blood
Uric Acid
Volumes, Packed Erythrocyte
Three types of experimental chow were used in the study, all of them were produced by Kliba-Nafag (Kaiseraugst, Switzerland). Ketogenic diet (KD) chow had a form of fat paste, low-carbohydrate diet (LCD) had a form of granular quark and regular chow (RC) was a standard pellets crushed into powder to exclude the chewing factor which was reported to affect mental health and neurodevelopment50 (link),51 (link). The composition and energy profiles of all three chows are present in the Table 1 . Since medium-chain triglycerides (MCT) were reported to have stronger ketogenic effect that long-chain triglycerides (LCT)52 (link), we used MCT-based alternative KD instead of LCT-based classic KD. Mice were health checked daily and weighted weekly. Each of six groups (males/females x RC/KD/LCD) included 20 mice—10 were killed by cardiac perfusion after 1 month on diet, 10 underwent behavioral tests and were killed after 2 months on diet.
During the accommodation week (week 0) experimental chow (SC-powder/KD-paste/LCD-paste) was put into a cage along with standard pellets to reduce stress of switch. After the mouse was put on diet it maintained on it until the end of experiment. Each of six diet × sex groups (n = 10) was further subdivided into two cohorts of different time points after 4 weeks of diet: (1) behavioral tests during days 1–8 and following blood and adipose tissue sampling after 2 months (D60) of diet; (2) blood and tissue sampling after 1 month of diet (D31). Total number of animals used in the experiments was N = 120 (Fig. 1 ). Mice were weighted three times a week and the average was used as a body weight after each week on diet.
The composition of diets.
Regular chow (RC) | Ketogenic diet (KD) | Low-carb diet (LCD) | |
---|---|---|---|
Carbohydrates (mass/energy) | 59%/55% | 3%/3% | 20%/17% |
Proteins (mass/energy) | 19%/32% | 10%/7% | 35%/23% |
Fats (mass/energy) | 5%/13% | 75%/90% | 35%/60% |
Saturated fats (% of fat mass) | 7% | 70% | 9% |
Monounsaturated fats (% of fat mass) | 51% | 23% | 57% |
Polyunsaturated fats (% of fat mass) | 32% | 7% | 36% |
Total energy (Kcal/Kg) | 3120 | 7208 | 5258 |
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Animals
Behavior Test
BLOOD
Body Weight
Carbohydrates
Diet
Diet, Carbohydrate-Restricted
Fats
Females
Heart
Ketogenic Diet
Males
Mental Health
Mice, House
Ocular Accommodation
Paste
Pellets, Drug
Perfusion
Powder
Proteins
Therapy, Diet
Tissue, Adipose
Tissues
Triglycerides
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More about "Diet, Carbohydrate-Restricted"
Carbohydrate-restricted diets, low-carb diets, keto diets, ketogenic diets, and metabolic health optimization are popular topics in dietary research and clinical practice.
These dietary patterns are characterized by a reduced intake of carbohydrates, often accompanied by an increased consumption of proteins and fats.
The goal is to optimize metabolic health, support weight management, improve glycemic control, and study the underlying mechanisms.
Researchers can utilize PubCompare.ai's AI-driven tool to easily identify and compare the best protocols and products from published literature, pre-prints, and patents, enhancing the reproducibility and accuracy of their carbohydrate-restricted studies.
This includes exploring relevant technologies like the Biograph mCT 40 PET/CT scanner, Biography Sensation 16 PET/CT scanner, Cobas 8000 modular analyzer series, and Syngo.via VB30 software for medical imaging.
Additionally, researchers may consider using specialized products like the F3282 RNA isolation kit for human Ago2 and the KetoCal® nutritional ketogenic formula to support their carbohydrate-restricted research.
The D08091802 and D12359 datasets may also provide valuable insights.
By leveraging these resources and the powerful features of PubCompare.ai, researchers can take their carbohydrate-restricted studies to the next level, improving the reproducibility, accuracy, and impact of their work.
Explore the PubCompare.ai platform today and discover how it can enhance your diet and metabolic health research.
These dietary patterns are characterized by a reduced intake of carbohydrates, often accompanied by an increased consumption of proteins and fats.
The goal is to optimize metabolic health, support weight management, improve glycemic control, and study the underlying mechanisms.
Researchers can utilize PubCompare.ai's AI-driven tool to easily identify and compare the best protocols and products from published literature, pre-prints, and patents, enhancing the reproducibility and accuracy of their carbohydrate-restricted studies.
This includes exploring relevant technologies like the Biograph mCT 40 PET/CT scanner, Biography Sensation 16 PET/CT scanner, Cobas 8000 modular analyzer series, and Syngo.via VB30 software for medical imaging.
Additionally, researchers may consider using specialized products like the F3282 RNA isolation kit for human Ago2 and the KetoCal® nutritional ketogenic formula to support their carbohydrate-restricted research.
The D08091802 and D12359 datasets may also provide valuable insights.
By leveraging these resources and the powerful features of PubCompare.ai, researchers can take their carbohydrate-restricted studies to the next level, improving the reproducibility, accuracy, and impact of their work.
Explore the PubCompare.ai platform today and discover how it can enhance your diet and metabolic health research.