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Intestinal Absorption

Intestinal Absorption refers to the process by which nutrients, drugs, and other substances are taken up from the intestinal lumen and transported across the intestinal epithelium into the bloodstream or lymphatic system.
This complex process involves various mechanisms, including passive diffusion, active transport, and facilitated diffusion, and is influenced by factors such as the physicochemical properties of the substance, the integrity of the intestinal barrier, and the presence of transporters and enzymes.
Understanding the mechanisms and factors governing intestinal absorption is crucial for optimizing the bioavailability and efficacy of orally administered drugs and nutraceuticals, as weell as for studying the absorption of nutrients and other compounds.
Researchers in the field of Intestinal Absorption often utilize a variety of in vitro and in vivo models, such as cell culture systems, isolated intestinal segments, and animal studies, to investigate this important physiological process.

Most cited protocols related to «Intestinal Absorption»

PK properties such as absorption, distribution, metabolism, excretion and toxicity (ADMET) profiling of compounds were determined using the pkCSM ADMET descriptors algorithm protocol1 and the Discover Studio 4.0 (DS4.0) software package (Accelrys Software, Inc., San Diego, CA, United States). Two important chemical descriptors correlate well with PK properties, the2D polar surface area (PSA_2D, a primary determinant of fractional absorption) and the lipophilicity levels in the form of atom-based LogP (AlogP98). The absorption of drugs depends on factors including membrane permeability [indicated by colon cancer cell line (Caco-2)], intestinal absorption, skin permeability levels, P-glycoprotein substrate or inhibitor. The distribution of drugs depends on factors that include the blood–brain barrier (logBB), CNS permeability, and the volume of distribution (VDss). Metabolism is predicted based on the CYP models for substrate or inhibition (CYP2D6, CYP3A4, CYP1A2, CYP2C19, CYP2C9, CYP2D6, and CYP3A4). Excretion is predicted based on the total clearance model and renal OCT2 substrate. The toxicity of drugs is predicted based on AMES toxicity, hERG inhibition, hepatotoxicity, and skin sensitization. These parameters were calculated and checked for compliance with their standard ranges.
The prediction of genotoxicity used the OECD QSAR toolbox 4.1 software package (Organization for Economic Co-operation and Development, Paris, France) and Toxtree, Version 2.6.13 (Ideaconsult, Ltd., Sofia, Bulgaria). Both software are open source freely available in silico programs that identify the chemical structural alerts (SA).
Publication 2019
ADMET Blood-Brain Barrier Cancer of Colon Cell Lines Cell Membrane Permeability CYP2C19 protein, human Cytochrome P-450 CYP1A2 Cytochrome P-450 CYP2D6 Cytochrome P-450 CYP3A4 Intestinal Absorption Kidney Metabolism Mineralocorticoid Excess Syndrome, Apparent P-Glycoprotein Permeability Pharmaceutical Preparations Pharmacy Distribution POU2F2 protein, human Psychological Inhibition Sexually Transmitted Diseases Skin Toxicity, Drug
ADME/TOPKAT (absorption, distribution, metabolism, excretion and toxicity) prediction was performed on the bioactive compound identified from the n-hexane fraction of P. odorata leaves, trans-phytol, in addition to thiolactomycin (co-crystallized ligand) and isoniazid. This was performed using Discovery Studio 4.5 (Accelrys Inc., San Diego, CA, USA). Human intestinal absorption, aqueous solubility, plasma protein binding prediction (PPB), blood-brain barrier penetration (BBB), hepatotoxicity level and cytochrome P450 (2D6) were chosen as ADME descriptors. Furthermore, rat oral LD50, carcinogenic affect female and male rat NPT (National Toxicology Program), skin and ocular irritation and Ames mutagenicity were chosen as toxicity parameters [36 (link)].
Publication 2021
Carcinogens Cytochrome P-450 CYP2D6 Females Homo sapiens Intestinal Absorption Isoniazid Ligands Males Metabolism Mutagens n-hexane Plasma Proteins Skin thiolactomycin trans-phytol Vision
One way to assess intestinal permeability is by administration of oral sugars (i.e., mannitol, lactulose, sucrose, and sucralose) and analysis of subsequent sugar excretion in urine. Since these sugars are not significantly metabolized in the body after absorption from the intestine, excretion into the urine reflects intestinal permeability [48] (link). Passageways (“pores”) formed by tight junctions between GI epithelial cells range in size from 4–60 Å and differentially allow the passage of molecules. These characteristics in conjunction with attributes of each sugar allow for determination of regional differences in GI permeability. Small molecules such as mannitol traverse pores of all sizes, while larger molecules, such as lactulose, can only pass through larger pores [11] (link), [48] (link). Sucrose is rapidly degraded after leaving the stomach, so increased sucrose excretion reflects gastric permeability and sucralose is absorbed through large pores in the small and large intestine. Increased urinary sucrose, lactulose/mannitol ratio and sucralose reflect gastroduodenal, small intestinal and total gut (small bowel and large bowel) hyperpermeability, respectively [48] (link), [49] . Increased sucralose excretion in conjunction with normal lactulose/mannitol ratio might reflect increased large intestinal (colonic) permeability [48] (link). The rationale for using urinary sucralose as a reliable marker of total gut permeability is that not only is sucralose relatively uniformly absorbed in both small and large intestine it is also available in the lumen of the colon for absorption because, unlike lactulose and mannitol, it cannot be metabolized and consumed by colonic bacteria.
Subjects fasted overnight and subsequently ingested a sugar mixture containing 2 grams mannitol, 7.5 grams lactulose, 40 gm sucrose, and 1 gram sucralose at 6AM, then collected 2 sequential 12-hour urine samples. Urine was analyzed for sugar content using gas chromatography (GC) techniques. Measurement of urinary sugars using GC is used to calculate intestinal permeability and is expressed as percent oral dose excreted in the urine. We have recently revised our method which briefly involves conversion of the relevant sugars to their alditol acetate form rather than our previous method of N-Trimethylsilylimidazole (TMSI) derivatization and find it is a more sensitive method to detect the sugars. This is thus a modification of our methods that we have previously published [49] , [50] .
Publication 2011
Acetate Administration, Oral Bacteria Carbohydrates Colon Epithelial Cells Gas Chromatography Human Body Intestinal Absorption Intestines Intestines, Small Lactulose Large Intestine Mannitol Permeability Stomach sucralose Sucrose Sugar Alcohols Sugars Tight Junctions Urine
To investigate the potential bioactive chemical compounds in SMT, we explored the absorption, distribution, metabolism, and excretion (ADME) properties of each individual phytochemical compound present in the four herbal constituents of SMT. In this study, we assessed the three commonly used ADME-related parameters (oral bioavailability (OB), Caco-2 permeability, and drug-likeness (DL)) for each compound [52 (link)]. OB indicates the fraction of an ingested dose of a given drug that crosses the gastrointestinal epithelium, enters the systemic circulation, and becomes available for distribution to internal tissues and organs [52 (link), 56 (link)]. Caco-2 permeability is used to assess the absorption capacity of drug molecules and chemical compounds in the intestines based on their passage rate through the Caco-2 human colon epithelial cancer cell line [52 (link), 57 (link)–59 (link)]. Notably, Caco-2 cells are commonly used as a model for evaluating the intestinal absorption capacity of biochemical compounds since they have morphologic features similar to those of human intestinal epithelial cells [57 (link)–59 (link)]. Generally, compounds with Caco-2 permeability <−0.4 are regarded as impermeable in the small intestinal epithelium [60 (link), 61 (link)]. DL is a key qualitative criterion used in drug design to determine candidate chemical components that may be used as drugs based on their structural and pharmacokinetic characteristics [52 (link), 62 (link)]. Based on previous studies, we regarded chemical compounds with OB ≥ 30%, Caco-2 permeability ≥−0.4, and DL ≥ 0.18 as pharmacologically active [52 (link), 63 (link), 64 (link)].
Publication 2020
Caco-2 Cells Carcinoma Colon compound 30 Epithelial Cells Epithelium Homo sapiens Intestinal Absorption Intestinal Epithelium Intestines Metabolism Permeability Pharmaceutical Preparations Phytochemicals Tissues
The mathematical model providing the base for the in silico subjects of the simulation environment has been described in detail in previous publications. Specifically, the previously reported glucose-insulin meal model of Dalla Man and Cobelli30 (link),31 serves as the foundation for the simulation environment. Briefly, the model assumes that the glucose and insulin subsystems are linked one to each other by the control of insulin on glucose utilization and endogenous production. The glucose subsystem consists of a two-compartment model of glucose kinetics. The insulin subsystem also consists of two compartments, the first representing the liver and the second the plasma. Endogenous glucose production, glucose rate of appearance, and glucose utilization are the most important model unit processes. Suppression of endogenous glucose production is assumed to be linearly dependent on plasma glucose concentration, portal insulin concentration, and a delayed insulin signal. Glucose intestinal absorption describes the glucose transit through the stomach and intestine by assuming the stomach to be represented by two compartments (one for solid and one for liquid phase); a single compartment is used to describe the gut, and the rate constant of gastric emptying is a nonlinear function of the amount of glucose in the stomach. Glucose utilization is the sum of two terms: a constant insulin-independent utilization, which takes place in the first compartment, representing glucose uptake by the brain and erythrocytes, and insulin-dependent utilization, which occurs in a remote compartment, representing peripheral tissues and depending nonlinearly on glucose in the tissues. Renal excretion by the kidney is also taken into account and is assumed to occur if plasma glucose exceeds a certain threshold. The model has 26 free parameters, among which the most important are hepatic and peripheral insulin sensitivity, i.e., the ability of plasma insulin to inhibit endogenous glucose production and enhance glucose disposal, respectively. We should note that, at least in principle, all model parameters, and in particular insulin sensitivity, could vary during the day. However, diurnal variation of model parameters is not yet taken into account in the model due to lack of quantitative knowledge on these phenomena. Once the set of equations defining in silico subjects is laid out, in silico cohort is created by generating parameter vectors spanning the parameter space observed in T1DM.
Publication 2009
Brain Cardiac Arrest Circadian Rhythms Cloning Vectors Erythrocytes Glucose Insulin Insulin Sensitivity Intestinal Absorption Intestines Kidney Kinetics Liver Plasma Renal Elimination Stomach Tissues

Most recents protocols related to «Intestinal Absorption»

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Publication 2023
Centrifugation Digestion Emulsions Enzymes Exhaling Filtration Gastrointestinal Tract High-Performance Liquid Chromatographies Intestinal Absorption Intestines Micelles Pefabloc
To gather enough chemical compounds of RD, extensive databases were searched by using the keywords “dracaena cochinchinensis”, “dragon's blood”, and “resina draconis”. Then, the structures of the compounds were obtained from PubChem (https://pubchem.ncbi.nlm.nih.gov/), which were used for cross-validation and saved in SDF structure format. The structures were drawn by using ChemDraw 18 if the structure of the compound did not exist in PubChem and saved in SDF structure format. SwissADME (http://www.swissadme.ch/) was used to predict potential active compounds. Compounds with high gastrointestinal absorption (GI) and more than 3 “Yes, 0 violation” in DL analysis were screened out as bioactive compounds for subsequent analysis. The SDF structure data files of bioactive compounds were imported into PharmMapper (http://www.lilab-ecust.cn/pharmmapper/), and compounds without target information were excluded. The official gene symbol format of targets was obtained from the UniProt database (https://www.uniprot.org/), and duplicates were deleted.
Publication 2023
Dracaena cochinchinensis draconis resina Genes Intestinal Absorption Resins, Plant
The potential chemical composition of three herbs in SM was obtained from the website of Chinese herbal ingredients online. Because these sites are updated at different rates and with different emphases, the composition and genetic targets of the same herbal medicine are not consistent across databases. For example, the Traditional Chinese Medicine Systems Pharmacology Database and Analysis Platform (TCMSP),21 (link) the most commonly used database in network pharmacology and is the only database that provides oral bioavailability (OB) and drug-likeness (DL), but the database only contains nearly 500 herbs. Traditional Chinese Medicine integrative database (TCMID)22 (link) records the largest variety of herbs among all databases (containing 8159 herbs); however, it records limited information on herb targets. The Encyclopedia of Traditional Chinese Medicine (ETCM)23 (link) includes standardized information on commonly used herbal medicines, however it only collects 402 herbs. A Bioinformatics Analysis Tool for Molecular mechanism of Traditional Chinese Medicine (BATMAN-TCM) database,24 (link) although not comprehensive in recording herbs, has very comprehensive information on chemical composition-related targets, and only provides a relatively small number of herbal components. The above four databases are the most widely used databases for herbal and chemical composition information. Based on the characteristics of these databases, we optimized the search strategy in order to expect comprehensive and accurate information on drug components and related targets.
We used OB ≥ 30% and DL ≥ 0.18 as screening conditions in TCMSP for initial screening of drug ingredients. DL is a qualitative concept used in drug design for an estimate on how “drug-like” a prospective compound is, which helps to optimize pharmacokinetic and pharmaceutical properties, such as solubility and chemical stability.25 (link) OB indicates the percentage of an oral dose of unchanged drug that reaches the body’s circulation, and a high OB is often a key indicator for determining the properties of a biologically active molecule as a therapeutic agent.26 (link) Ingredients not recorded in TCMSP were screened using the SwissADME database for favorable gastrointestinal absorption and high DL values.27 (link) In addition, we found that certain ingredients, although not meeting the conditions of OB < 30% and DL < 0.18, have broad pharmacological activity or are known to be major components in SM (such as Ligustrazine,28 (link) Retinol,29 (link) etc.) and therefore should also be added as potential active ingredients in SM. The TCMSP database, the BATMAN database and Swiss Target Prediction30 (link) were collectively used as potential targets for predicting components, and the names of relevant targets were standardized through the UniProt database.31 (link)
Publication 2023
chemical composition Chinese Drug Delivery Systems Human Body Intestinal Absorption Medicinal Herbs Mouth Diseases Pharmaceutical Preparations Pharmacologic Actions tetramethylpyrazine Therapeutics Vitamin A
Subjects are initially evaluated in a screening visit (Day -3) during which they will be screened for eligibility, including baseline clinical and physical assessments (Fig 1). At screening, the investigator or designee will review the subject’s medical history to determine eligibility, explain the study to the subject and the subject’s parent or legal guardian, and if eligible, obtain informed consent (S3 File). Informed consent and assent will be obtained from study investigators and authorized personnel and the discussion will be documented in the patient’s electronic medical record. If consent is given and the subject is deemed eligible based on the results of the screening visit, they will be enrolled in the study and pre-baseline assessments will be performed, which will include physical examination, nutritional assessment, vital signs, and laboratory evaluations (Fig 1). The subject’s parent or guardian will also receive education from a registered dietitian on recording caloric intake and composition in oral and enteral feeds, and PN. As part of this education, the dietitian will review how to record daily oral and enteral intake via paper dairy or with a HIPAA-compliant nutrition/food tracking phone application. If the latter, the subject’s parent or guardian will receive access to a nutrition/food tracking phone application.
The subject’s parent or guardian will then be asked to collect all stool for 72-hours over Day -3 to Day -1 and to record caloric intake and composition in oral and enteral feeds, and PN during that time. The collected stool will be submitted to the Boston Children’s clinical laboratory for total fat quantification. To evaluate the degree of fat malabsorption, the intake data and stool fat quantification will be used to measure the baseline CFA, as previously described [15 (link)].
Treatment will be administered on study Day 1, followed by daily use of the RELiZORB enzyme cartridge whenever EN is administered, for a total of 90 days. During the treatment period, all EN will be administered through the RELiZORB enzyme cartridge. Nutritional intake (24-hour enteral dietary and PN volume intake), stool consistency/amount/frequency (if applicable) or ostomy (if applicable) output, study device use, and incidence of symptom changes will be recorded daily, in an electronic or paper diary, by the subject’s parent or guardian. Access to the nutrition/food tracking phone application along with a daily phone call from a study coordinator will be used to ensure accurate recording and completion of these tasks.
Subjects will return to the clinic on Days 7, 14, 28, 60, and 90 of the treatment period (Fig 1). The final clinic visit will be preceded by a repeat 72-hour stool collection and measurement of CFA to determine the change (if any) in intestinal fat absorption. During the clinic visits, staff will review the information in the subject’s diary, review compliance with the use of the study device and discuss relevant observations with the subject during the visit. Upon review, information contained in the diary will be entered in the electronic database. In addition to a daily study coordinator phone call, the study staff will have weekly telephone contact with families during interim weeks after the day 14 visit. Prior to these visits, subjects will be weighed at home by their parent or guardian using a standardized weight scale. At the in-person clinic and weekly telephone visits, study staff will monitor safety, diaries, weight data, stool composition (Bristol scale) and output, changes in caloric intake, changes in urine output, and will make adjustments to PN and enteral feeding accordingly (Fig 2). Adjustments will be based on the subject’s nutritional needs, weekly weights, height, hydration status and investigator’s medical judgement. If necessary, unscheduled visits can be arranged in place of the telephone contacts.
At each clinic visit, vital signs, physical examination, clinical evaluations, AEs, concomitant medications, medical/surgical procedures, and blood tests to determine the levels of liver enzymes will also be performed. Blood samples will be collected to analyze lipid profiles. All AEs post-baseline that occur will be recorded. Participants will meet with a study dietitian during each visit to assess nutritional needs and address issues or concerns.
Publication 2023
BLOOD Child Clinical Laboratory Services Clinic Visits Diet Dietitian Eligibility Determination Enzymes Feces Food Hematologic Tests Intestinal Absorption Intestines, Small Legal Guardians Lipids Liver Malabsorption Syndrome Medical Devices Nutrient Intake Nutrition Assessment Operative Surgical Procedures Ostomy Parent Patients Pharmaceutical Preparations Physical Examination Safety Signs, Vital Test, Clinical Enzyme Urine
The bioactive ingredients of AN were searched using Dr. Duke’s Phytochemical and Ethno botanical Database (DPED), Web of Science, and Google Scholar, while the SMILES and molecular formulas of constituents were discovered using PubChem (https://pubchem.ncbi.nlm.nih.gov/) accessed on 23 March 2022 [23 (link)]. pkCSM (https://biosig.lab.uq.edu.au/pkcsm/prediction) was used to conduct ADMET analysis on selected constituents, accessed on 27 March 2022. Active components were selected when the ADMET evaluation results were deemed acceptable. Compounds which have appropriate intestinal absorption, excretion and no toxicity were selected for further evaluation.
Publication 2023
ADMET Diet, Formula Intestinal Absorption Phytochemicals

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More about "Intestinal Absorption"

Intestinal Absorption refers to the complex process of transporting nutrients, drugs, and other substances from the intestinal lumen into the bloodstream or lymphatic system.
This involves various mechanisms like passive diffusion, active transport, and facilitated diffusion, influenced by factors such as the physicochemical properties of the substance, the integrity of the intestinal barrier, and the presence of transporters and enzymes.
Understanding intestinal absorption is crucial for optimizing the bioavailability and efficacy of orally administered pharmaceuticals and nutraceuticals, as well as for studying the absorption of other compounds.
Researchers often utilize in vitro and in vivo models like cell culture systems, isolated intestinal segments, and animal studies to investigate this important physiological process.
Tools like Discovery Studion 4.5, Intralipid, Discovery Studio 3.5, the QikProp module, QikProp, Discovery Studio, EPIX XCAP software, Prism 8, and BIOVIA Discovery Studio 2021 Client can be leveraged, along with the Acquity UHPLC system, to enhance reproducibility, accuracy, and the identification of effective products and methodologies for intestinal absorption research.
By optimizing your intestinal absorption studies with the power of AI-driven platforms like PubCompare.ai, you can take your research to new heights and uncover valuable insights.