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Nutrients

Nutrients are essential substances required by the body for proper growth, function, and maintenance.
They include macronutrients like carbohydrates, proteins, and fats, as well as micronutrients like vitamins and minerals.
Nutrients can be obtained through diet or supplementation and play a crititcal role in supporting overall health and well-being.
Understanding the role of nutrients in the body and how to optimize nutrient intake is an important area of research and clinical practice.

Most cited protocols related to «Nutrients»

The original DII was the first attempt to quantify the overall effect of diet on inflammatory potential(8 (link)). At that time 2700 articles published through 2007 were screened, and 929 were read and scored in formulating the index(10 (link)). In the original DII, literature review-based scores were multiplied by individuals’ actual intakes of food parameters, with no attempt to relate to any external standard of intake. While on the face appearing to be assumption-free, this approach is sensitive to the units of measurement. For example, μg and mg differ by three orders of magnitude and some parameters, such as vitamin A and β-carotene, had to be divided by 100 and others, such as n-3 and n-6 fatty acids, multiplied by 10 in order to place them in a ‘reasonable’ range so as not to over- or underestimate their influence on the overall score.
The new DII is improved in a number of ways. First, an improved scoring system has been applied to the forty-five ‘food parameters’, consisting of whole foods, nutrients and other bioactive compounds derived from a much larger literature review. Second, eleven food consumption data sets from around the world were identified that represent a range of human dietary intakes that serve as the ‘referent’ population database to provide comparative consumption data for these forty-five food parameters(11 –23 ). Third, a percentile scoring system was devised that serves as the actual values against which individuals’ intakes are multiplied in order to derive each individual's DII score.
Publication 2013
Acids, Omega-6 Fatty Carotene Diet Eating Face Food Homo sapiens Inflammation Nutrients Vitamin A

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Publication 2007
Antibiotics Asepsis Bacteria Ciprofloxacin Complex Extracts Normal Saline Nutrients resazurin Sterility, Reproductive Strains Sulfoxide, Dimethyl Technique, Dilution
The FFQ, originally developed for the TLGS, was a Willett-format questionnaire modified based on Iranian food items25 and contains questions about average consumption and frequency for 168 food items during the past year.7 The food items were chosen according to the most frequently consumed items in the national food consumption survey in Iran.25 Because different recipes are used for food preparation, the FFQ was based on food items rather than dishes, eg, beans, different meats and oils, and rice. Subjects indicated their food consumption frequencies on a daily basis (eg, for bread), weekly basis (eg, for rice and meat), monthly basis (eg, for fish), yearly basis (eg, for organ meats), or a never/seldom basis according to portion sizes that were provided in the FFQ. For each food item on the FFQ, a portion size was specified using USDA serving sizes (eg, bread, 1 slice; apple, 1 medium; dairy, 1 cup) whenever possible; if this was not possible, household measures (eg, beans, 1 tablespoon; chicken meat, 1 leg, breast, or wing; rice, 1 large, medium, or small plate) were chosen. Table 1shows food items and portion sizes used in the FFQ. Trained dietary interviewers with at least 3 of experience in the Nationwide Food Consumption Survey project25 or TLGS26 (link) administered the FFQs and 24-hour DRs during face-to-face interviews. The interviewer read out the food items on the FFQ, and recorded their serving size and frequency. The interview session took about 45 minutes. The interviewer for FFQ1 and FFQ2 was the same for each participant. Daily intakes of each food item were determined based on the consumption frequency multiplied by the portion size or household measure for each food item.27 The weight of seasonal foods, like some fruits, was estimated according to the number of seasons when each food was available.
Dietary data were also collected monthly by means of twelve 24-hour DRs that lasted for 20 minutes on average. For all subjects, 2 formal weekend day (Thursday and Friday in Iran) and 10 weekdays were recalled. All recall interviews were performed at subjects’ homes to better estimate the commonly used household measures and to limit the number of missing subjects. Detailed information about food preparation methods and recipe ingredients were considered by interviewers. To prevent subjects from intentionally altering their regular diets, participants were informed of the recall meetings with dietitians during the evening before the interview. All recalls were checked by investigators, and ambiguities were resolved with the subjects. Mixed dishes in 24-hour DRs were converted into their ingredients according to the subjects’ report on the amount of the food item consumed, thus taking into account variations in meal preparation recipes. For instance, broth or soup ingredients—usually vegetables (carrot or green beans), noodles, barley, etc.—differed according to subjects’ meal preparation. Because the only available Iranian food composition table (FCT)28 analyzes a very limited number of raw food items and nutrients, we used the USDA FCT29 as the main FCT; the Iranian FCT was used as an alternative for traditional Iranian food items, like kashk, which are not included in the USDA FCT.
The food items on the FFQ and DR were grouped according to their nutrient contents, based on other studies,30 (link) and modified according to our dietary patterns. Seventeen food groups were thus obtained, as follows: 1) whole grains, 2) refined grains, 3) potatoes, 4) dairy products, 5) vegetables, 6) fruits, 7) legumes, 8) meats, 9) nuts and seeds, 10) solid fat, 11) liquid oil, 12) tea and coffee, 13) salty snacks, 14) simple sugars, 15) honey and jams, 16) soft drinks, and 17) desserts and snacks (Table 1). The 168 food items on the FFQ were allocated to these 17 food groups, and the amounts in grams of each item were summed to obtain the daily intake of each food group.
Publication 2010
Barley Bread Breast Carrots Cereals Chickens Coffee Dairy Products Diet Dietitian Eating Fabaceae Face Fishes Food Fruit Honey Households Hyperostosis, Diffuse Idiopathic Skeletal Interviewers Meat Mental Recall Monosaccharides Nutrients Nuts Oryza sativa Plant Embryos Potato Raw Foods Snacks Sodium Chloride, Dietary Soft Drinks Vegetables Whole Grains
All statistical analyses were done using SAS statistical software, version 9.2 (SAS Institute Inc., Cary, NC, USA) and were performed separately for women and men. Crude values for the intake of energy and 42 selected nutrients were estimated based on the intake of food items obtained with the DR or respective questionnaire and the corresponding food composition list in the Standard Tables of Food Composition in Japan.13 Because intakes of most nutrients were positively correlated with energy intake, energy-adjusted values were also calculated by the residual method using a regression model, while the density method was used to compute the amount of each nutrient consumed daily, as a percentage from daily energy intake for energy-containing nutrients or per 10 MJ of daily energy intake for non–energy-containing nutrients.14 (link) All statistical analyses were performed on log-transformed values to account for non-normality. Relative validity of the DHQ and BDHQ were assessed in terms of their ability to estimate representative values by comparing mean values and ranking ability, using Pearson correlation coefficients. We compared nutrient intakes derived from the first DHQ (DHQ1) and the first BDHQ (BDHQ1) with those from the four 4-day DRs. Although the reference period differed between DHQ1 or BDHQ1 and the four 4-day DRs (1 conducted in each season), our purpose here was to examine whether a single DHQ or BDHQ for dietary habits during the previous month could represent habitual dietary intake over a longer period. Additionally, we also examined the mean of the 4 DHQs and BDHQs (mDHQ and mBDHQ) using the same method to compare annual intake from the questionnaires with that of the DR.
Energy and nutrient intakes in the crude and energy-adjusted models for DR, DHQ1, BDHQ1, mDHQ, and mBDHQ are presented as means. Statistically significant differences between the DR and each of the questionnaires were determined with the paired t-test using 1-sided values. A P value less than 0.05 was considered to indicate a significant difference. Pearson correlation coefficients between the DR and DHQ1, BDHQ1, mDHQ, and mBDHQ were then calculated. Additionally, because a 16-day DR may be insufficient to account for intra-individual variation, we also calculated deattenuated correlation coefficients using intraindividual and interindividual variances.1 Correlation coefficients obtained from the DHQ and BDHQ were compared using the Meng-Rosenthal-Rubin method to compare overlapping correlation coefficients,15 (link) with tested correlation coefficient pairs considered statistically different when z was greater than 1.96, with a significance level of 5%.
Publication 2012
Eating Food Nutrient Intake Nutrients Woman

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Publication 2018
Adult Child Diet Food Interviewers Mental Recall Nutrients Sodium Chloride, Dietary Youth

Most recents protocols related to «Nutrients»

Example 12

There has been a growing interest in the fabrication of nanofibers derived from natural polymers due to their ability to mimic the structure and function of extracellular matrix. Electrospinning is a simple technique to obtain nano-micro fibers with customized fiber topology and composition (FIGS. 33A and 33B). The chitosan electrospun nanofibers have recently been extensively studied due to the favorable properties of chitosan such as controllable biodegradation, good biocompatibility and high mechanical strength. Currently, chitosan can be electrospun from a solution of chitosan dissolved in either trifluoroacetic acid (TFA) or acetic acid (HAc). However, processes to remove residual acid and acid salts from the electrospun material generally resulted in a swelling of fibers and deterioration of the nano-fibrous structure. Crosslinking in combination with neutralization methods also had not been effective at preventing loss of nano-fibrous structure.

The current study aimed to improve and maintain nano-fibrous and porous structure of the electrospun membranes by introducing a new post electrospinning chemical treatment. Membrane thickness was tripled in this research in order to increase the general tearing strength. Scanning electron micrograph (SEM) examination (FIG. 33C) and transmission electron micrograph (TEM) examination (FIG. 33D) showed Fiber diameters of the triethanolamine/N-tert-butoxycarbonyl (TEA/t-BoC) treated membranes ranged from 40 nm to 130 nm while fiber diameters were not able to be determined for the Na2CO3 group. Membranes treated by TEA/tboc (FIG. 34A) exhibited more nano-scale fibrous structure than membranes treated by saturated Na2CO3 (FIGS. 35B-35D, as seen demonstrated in scanning electron micrographs. After immersion in PBS for 24 hours, membranes treated by TEA/tboc exhibited less than 30% swelling (FIG. 34B) and retained their nanofibrous structure, compared with membranes treated by Na2CO3 (FIGS. 35B-35D) or compared with the non-treated chitosan membrane (FIG. 35A). After soaking the TEA/tBoc treated membranes in water overnight, membranes still kept the porous structure. In both, the before and after water status, fibers kept diameters in the nanometer range (FIG. 35C). TEA/tBoC modified nanofiber membranes also well preserved their fibrous structure over 4 weeks in physiological solution compared with Na2CO3 treated membranes (FIG. 35D).

Chitosan membranes treated by TEA/tboc showed better nano-fiber morphology characteristics than membranes neutralized by saturated Na2CO3 solution before and after being soaked in PBS. Retention of the nanofibrous structure for guided tissue regeneration applications may be of benefit for enabling nutrient exchange between soft gingival tissue and bone compartments and for mimicking the natural nanofibrillar components of the extracellular matrix during regeneration.

Patent 2024
Acetic Acid Acids Bones Chitosan Electrons Environmental Biodegradation Extracellular Matrix Fibrosis Gingiva Guided Tissue Regeneration Hydrochloric acid Nutrients physiology Polymers Regeneration Retention (Psychology) Submersion TERT protein, human Tissue, Membrane Tissues Transmission, Communicable Disease triethanolamine Trifluoroacetic Acid Vision

Example 1

119 Dicty strains were screened for their ability to feed on Dickeya (Dd) or Pectobacterium (Pcc) at 10° C. This assay was performed by inoculating Dd or Pcc on a low nutrient medium (SM2 agar) that supports both bacterial and Dicty growth. Dicty spores from individual strains were then inoculated on top of the bacterial growth and incubated at 10° C. to mimic potato storage temperatures. Dicty strains that successfully fed on Dd or Pcc created visible clearings in the lawn of bacterial growth and ultimately produced sporangia (fruiting bodies) that rose from the agar surface. An example of the phenotype that was considered successful clearing of bacteria is shown in FIG. 3A. From this initial screen, 36 Dicty strains that were capable of feeding on both Dd and Pcc at 10° C. were identified (FIG. 1B).

Of the 36 strains capable of feeding on both Dd and Pcc, 34 came from the Group 4 Dictyostelids (FIG. 1). This group includes D. discoideum, D. giganteum, D. minutum, D. mucoroides, D. purpureum, and D. sphaerocephalum (72). The results indicate that this group is particularly enriched in Dd and Pcc-feeding strains.

A further experiment was performed to identify Dicty species capable of feeding on biofilms of Dd and Pcc. Microporous polycarbonate membranes (MPMs) are widely reported to support biofilm formation of numerous Enterobacteriaceae species (2, 63, 70, 71). It was determined if Dd and Pcc formed biofilms on MPMs and determined if Dicty strains were capable of feeding on these biofilms. Membranes were placed on top of SM2 agar to provide Dd and Pcc with nutrients for growth. Bacteria were then inoculated on the surface of the MPMs and growth was monitored over the course of 1 week by washing bacteria off the membranes and performing dilution plating for colony counting. Growth of both bacterial strains plateaued around 4 dpi (FIG. 2).

From these results, it was determined that the best time to collect inoculated MPMs for biofilm analysis was at 2 dpi. Scanning electron microscopy (SEM) is commonly used to confirm biofilm formation by detecting extracellular polymeric substance (EPS) that forms the biofilm matrix (2). Samples of Dd and Pcc after 2 days of growth on MPMs in the presence and absence of Dicty are analyzed using SEM.

19 Dicty strains identified as active were tested for their ability to feed on Dd and Pcc growing on MPMs. These experiments were performed by establishing Dd and Pcc growth on MPMs overlaid on SM2 agar at 37° C. for 24 hr. Dicty spores were then applied to the center of bacterial growth in a 5 uL drop containing 1000 spores. Bacteria and Dicty were incubated at 10° C. for 2 weeks before remaining bacteria were washed off and colonies were counted. Representative images of Dicty growing on Dd and Pcc on MPMs are shown in FIG. 3A.

No Dicty strains produced a statistically significant reduction in Dd viability compared to the non-treated control. However, treating Dd lawns with Cohen 36, Cohen 9, WS-15, WS-20, and WS-69 consistently reduced the number of viable bacteria by approximately 100,000-fold compared to the non-treated control (FIG. 3B). Cohen 9 was the only Dicty strain that produced a statistically significant reduction in viability of Pcc compared to the non-treated control (FIG. 3C). Other Dicty strains capable of reducing the number of viable Pcc by at least 100,000-fold were Cohen 35, Cohen 36, WS-647, and WS-69 (FIG. 3C).

It was observed that Dicty strains Cohen 9, Cohen 36, and WS-69 were capable of feeding on both Dd and Pcc when these bacteria were cultured on SM2 agar and MPMs (FIGS. 1 and 3). These strains were also particularly effective feeders as all three reduced the number of viable Dd and Pcc on MPMs at 10° C. by 100,000-fold compared to the non-treated control (FIGS. 3B and 3C).

To determine if these strains could suppress soft rot development on seed potato tubers, tubers were tab-inoculated with Dd or Pcc and treated with spores from each Dicty strain. Seed potatoes were surface-sterilized and punctured using a sterile screw to a depth of 1.5 mm. Overnight cultures of Dd and Pcc were suspended in 10 mM potassium phosphate buffer, diluted to an OD600 of approximately 0.003, and administered as a 5 μL drop into the wound. Next, 5 of a Dicty spore suspension (100,000 spores) was added to the wound. Inoculated seed potatoes were placed in a plastic container with moist paper towels and were misted with water twice a day to maintain a high humidity. After 3 days at room temperature, seed potatoes were sliced in half and the area of macerated tissue was quantified using ImageJ.

All three strains reduced the severity of soft rot caused by Dd and Pcc (FIG. 4). Cohen 36 was the most effective strain on both Dd and Pcc: reducing the area of tissue maceration by 60% and 35%, respectively (FIG. 4B). Treating seed potatoes with WS-69 reduced the area of tissue maceration by 50% and 30% for Dd and Pcc, respectively (FIG. 4B). Finally, Cohen 9 was the least effective, but still able to reduce tissue maceration caused by Dd and Pcc by 25% and 20%, respectively (FIG. 4B).

FIG. 7 shows that three Dicty isolates control Dd and Pcc in seed tubers (at 25° C.). Two sets of data from different weeks were normalized to the Dickeya or Pectobacterium only bacterial control. The average area of macerated potato tissue measured in mm2 was set as “1” or “100%”. The average of all the other treatments including Dicty were divided by bacteria only control and multiplied by 100 to obtain a percentage. Each set contained 5 tubers per treatment.

Dicty should be capable of sporulating at temperatures as cold as 10° C. on a potato surface if they are applied as a one-time pre-planting or post-harvest treatment. Sporulation was assessed by inoculating small potato discs (5×6 mm) with 10 μL of Dd or Pcc suspensions at an OD600 of 3×10−5 and Dicty spores at a concentration of 1×107 spores/mL. Potato discs were kept in a covered 96-well plate for two weeks at 10° C. followed by visual inspection for son using a dissecting microscope. Representative images of a strain producing many sori (WS-517) and a strain producing few sori (WS-69) are shown in FIG. 5. Of the 11 strains evaluated, only Cohen 9 and WS-20 were unable to sporulate in the presence of both pathogens (Table 1).

TABLE 1
Assessment of Dicty sporulation at 10° C. on potato
in the presence of Dd or Pcc. A (✓) indicates sori
have been observed while a ( [Figure (not displayed)]  ) means they have not.
Dicty strainDdPcc
Cohen 9[Figure (not displayed)]
Cohen 36
WS-69
WS-517
WS-588
WS-606
WS-15
WS-20[Figure (not displayed)]
DC-7
DC-61
WS-116d

Example 2

This example describes the use of a high throughput screening assay to identify Dicty strains from Alaska (e.g., BAC10A, BAF6A, BAC3A, NW2, KB4A (ATCC® MYA-4262™) SO8B, SO3A, BAF9B, IC2A (ATCC® MYA-4259™), AK1A1 (ATCC® MYA-4272™) PBF4B (ATCC® MYA-4263), PBF8B, BSB1A, SO5B (ATCC® MYA-4249), PBF3C, PBF6B, NW2B, NW10B (ATCC® MYA-4271™), PBF9A, IC5A (ATCC® MYA-4256TH), ABC8A (ATCC® MYA-4260), NW16B, ABC10B, ABB6B (ATCC® MYA-4261), BA4A (ATCC® MYA-4252), AKK5A, AKK52C, HP4 (ATCC® MYA-4286), HP8 (ATCC® MYA-4284), or NW9A) that feed on Dd and Pcc at 10° C. on potatoes.

Results from 11 Dicty strains screened against Dd at 10° C. are presented in FIG. 6. Data was analyzed for significance using a one-way analysis of variance (ANOVA; alpha =0.05) with Tukey's honest significant difference (HSD) test to compare means between the treatments and the No Dicty control. A reduction in Dd proliferation when potato discs were treated with Dicty strains Cohen 9, Cohen 36, WS-15, Maryland 18a, BAF6A, NW2, and SO3A.

The Alaskan Dicty strains, and those identified in Example 1, are further tested against coinfections of Dd and Pcc. It is useful to identify Dicty strains that can suppress Dd and Pcc coinfections as these two pathogens have been isolated together from diseased potatoes (15). The ability of Dicty strains with different feeding preferences (Dd vs. Pcc) to complement each other when administered as a cotreatment is assayed.

Patent 2024
A-A-1 antibiotic Agar Amoeba Bacteria Biofilms Buffers Coinfection Cold Temperature Combined Modality Therapy Dickeya Dictyosteliida Enterobacteriaceae Extracellular Polymeric Substance Matrix Extracellular Polymeric Substances High-Throughput Screening Assays Human Body Humidity Microscopy neuro-oncological ventral antigen 2, human Nutrients Pathogenicity Pectobacterium Phenotype Plant Tubers polycarbonate potassium phosphate Scanning Electron Microscopy Solanum tuberosum Sporangia Spores Sterility, Reproductive Strains Technique, Dilution Tissue, Membrane Tissues Wounds

Example 10

183.12 grams of dimethyl sulfoxide was charged to a vessel, placed under strong agitation and then heated to 60° C. 78.48 grams of a polysuccinimide (5000 average molecular weight) was then slowly charged to the vessel and mixed until completely dispersed. 72.74 grams of DI water was charged to the vessel and then 49.07 grams of NH4OH/28% were slowly charged holding the mixture's temperature at 60-80° C. It was mixed for one hour and then placed under a vacuum of 50 mm with a slight N2 sparge until distillation ceases. The mix was then cooled to 40° C. and then packaged off in an appropriate container.

Patent 2024
Animals Blood Vessel Distillation Nutrients Obstetric Delivery poly-DL-succinimide Poly A Salts Sulfoxide, Dimethyl Vacuum
Not available on PMC !

Example 23

In many cases of sexual assault, traces of semen are left behind in the vagina, allowing for later collection and analysis. Semen consists of a variety of proteins, vitamins, nutrients, blood group antigens, and DNA. The preservation and/or analysis of semen can facilitate later development of a DNA profile. In some embodiments, the disclosed kit allows for at-home detection of analytes from semen.

Devices, systems and methods of the present disclosure can be combined with or modified by other devices, systems and methods, such as, for example, those described in International Patent Publication No. WO/2016/025332, which is entirely incorporated herein by reference.

Patent 2024
Biologic Preservation Blood Group Antigens Medical Devices Nutrients Plant Embryos Semen Analysis Sexual Assault Staphylococcal Protein A Vagina Vitamins
Not available on PMC !

Example 3

3.5 grams of eucalyptus oil, 20 grams of hydroxypropyl beta cyclodextrin, 3772 grams of Harrell's 8-2-4 Formula liquid fertilizer concentrate, 4.75 grams hemp sap, and 0.25 grams of nonionic surfactant, and 30 milliliters of lemon juice are combined with sufficient water, using a high-speed mixer to produce a gallon of plant treatment concentrate. 75 ml. of the resulting concentrate is added to 25 grams of chopped or cut dried hemp and set aside to dry. The resulting fragrant nutrient hemp stock may be used for potted plant mulch or top dressing.

Patent 2024
2-Hydroxypropyl-beta-cyclodextrin Citrus limon Eucalyptus Oil Hemp Nutrients Plants Scents Surface-Active Agents

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More about "Nutrients"

Macronutrients and Micronutrients: The Building Blocks of Health Nutrients are the essential substances our bodies require for proper growth, function, and maintenance.
These include macronutrients like carbohydrates, proteins, and fats, as well as micronutrients like vitamins and minerals.
Obtaining these nutrients through a balanced diet or supplementation is crucial for supporting overall health and well-being.
Macronutrients provide the body with energy and the building blocks for tissue repair and regeneration.
Carbohydrates, for example, are the body's primary source of fuel, while proteins are necessary for muscle development and repair.
Fats play a vital role in hormone production, nutrient absorption, and cell membrane function.
Micronutrients, on the other hand, are required in smaller quantities but are no less important.
Vitamins such as A, C, and E, and minerals like calcium, iron, and zinc, are essential for immune function, bone health, and numerous metabolic processes.
Understanding the role of nutrients in the body and how to optimize nutrient intake is an area of active research and clinical practice.
Tools like PubCompare.ai can help researchers and clinicians navigate the vast landscape of nutrient-related studies, protocols, and products, allowing them to make more informed decisions and enhance their nutrient research.
Whether you're interested in DMEM/F12, Penicillin/Streptomycin, Nutrient agar, or L-glutamine, understanding the importance of nutrients and how to optimize their intake is crucial for maintaining optimal health and well-being.
By incorporating this knowledge into your research or clinical practice, you can help your clients or patients achieve their health and wellness goals.