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Intestines

The intestines, also known as the bowels, are a vital part of the human digestive system.
They are divided into the small intestine and the large intestine, and play a crucial role in the absorption of nutrients, fluids, and electrolytes.
The small intestine consists of the duodenum, jejunum, and ileum, while the large intestine includes the cecum, colon, rectum, and anus.
Optimal intestinal health is essential for overall well-being, and research in this area can lead to improved diagnostic and treatment options for a range of gastrointestinal conditions.
Leveraging the power of AI-driven platforms like PubCompare.ai can enhance the reproducibility and accuracy of intestines research, helping researchers identify the most effective protocols and products through a streamlined, data-driven approach.

Most cited protocols related to «Intestines»

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Publication 2009
Bohring syndrome Cecum Colon Colon, Ascending Colon, Descending Colonoscopy Endoscopy Feces Intestines Left Colic Flexure Mucous Membrane Rectum Sigmoid Colon Transverse Colon Vision

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Publication 2010
Alkaline Phosphatase Anti-Antibodies Buffers cDNA Library Cells chlorocarbonic acid Chloroform Embryo Endopeptidase K Ethanol G-substrate Genome, Human Homo sapiens hydroxybenzoic acid Intestines Kidney MicroRNAs Phenol Polynucleotide 5'-Hydroxyl-Kinase Proteins PUM2 protein, human Radioactive Tracers Ribonuclease T1 RNA, Messenger SDS-PAGE Ultraviolet Rays

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Publication 2015
A-83-01 Acetylcysteine Culture Media, Conditioned Gastrin Homo sapiens Intestines MDFIC protein, human Neoplasms Niacinamide noggin protein Organoids SB 202190 Stem, Plant Stem Cells Tissues
We compiled all the prokaryotic genomes publicly available as of March 2019 that were sampled from the human gut. To retrieve isolate genomes, we surveyed the IMG24 (link), NCBI22 (link) and PATRIC23 (link) databases for genome sequences annotated as having been isolated from the human gastrointestinal tract. We complemented this set with bacterial genomes belonging to two recent culture collections: the HBC19 (link) and CGR21 (link). To avoid including duplicate entries due to redundancy between reference databases, we combined genomes obtained from the PATRIC and IMG repositories and added only those without an identical genome in the sets extracted from NCBI, HBC and CGR. This was determined by comparing isolate genomes between different databases using Mash v2.1 (ref. 26 ; ‘mash dist’ function) and only selecting one genome among those estimated to be identical (Mash distance of 0). MAGs (that is, uncultured genomes) were obtained from Pasolli et al.20 (link) (CIBIO), Almeida et al.18 (link) (EBI) and Nayfach et al.16 (link) (HGM). For the CIBIO set, only genomes retrieved from samples collected from the intestinal tract were used.
Metadata for each genome were first retrieved from the five large human gut studies16 (link),18 (link)–21 (link). These were further enriched with data obtained using the ENA API (https://www.ebi.ac.uk/ena/portal/api) and the NCBI E-utilities (http://eutils.ncbi.nlm.nih.gov/). Metadata on the isolate genomes from IMG and PATRIC were retrieved using the GOLD52 (link) system and the PATRIC FTP website (ftp://ftp.patricbrc.org/patric2/current_release/RELEASE_NOTES/genome_metadata), respectively. We only extracted metadata on the geographic origin of each genome, as other factors such as disease status and demographic information were missing from most of the samples.
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Publication 2020
Genome Genome, Bacterial Homo sapiens Intestines MAG protein, human Prokaryotic Cells
Following a review of the literature, existing awareness questionnaires were examined and relevant items extracted. This was supplemented with a review of the ‘grey’ literature (i.e. unpublished surveys carried out by cancer charities and other organisations) to include items not published in academic journals. Following this review, an item pool consisting of 137 items was created. These covered a range of topics including awareness of warning signs and risk factors, cancer incidence and awareness of national screening programmes. Items were then excluded if they were poorly worded, used terminology not frequently used in the United Kingdom (e.g. Pap test) or were attitudinal in nature (e.g. ‘I believe there are no early symptoms of cancer’). Items relating to awareness of the purpose of screening, the benefits of early detection and cancer survival rates were also omitted from the measure because the primary focus was symptom recognition. In addition, the research team generated several items specifically for the instrument that had not been used in previous questionnaires.
Once consensus over the items had been reached, a first version of the cancer awareness measure (CAM) was circulated to a panel of experts (n=16) including academic researchers, cancer charity representatives, general practitioners, oncologists and experts in the field of questionnaire design, to ensure content validity and face validity. In addition, cognitive interviews were conducted with the general public. These encourage respondents to verbalise their cognitions, making it possible to identify areas where interpretation of the questions is ambiguous (Collins, 2003 (link)). Cognitive interviews were conducted with a small sample of participants (n=6) aged between 23 and 70 years. Minor modifications were made to the phrasing of several items as a result.
The final version of the CAM consisted of the following: (i) 10 items on awareness of warning signs (one open-ended question and nine recognition items); (ii) nine items on anticipated time to seek medical advice (asking about each of the warning signs); (iii) 10 items on barriers to seeking medical advice (covering a range of practical, service delivery and emotional barriers); (iv) 13 items on awareness of risk factors (one open-ended question, 11 recognition items and one asking participants to rank the importance of different types of risk factor); (v) seven items on cancer incidence (one asking about overall cancer incidence and six asking about the three most common cancers for men and women) and (vi) six items on awareness of NHS screening programmes (asking about awareness of the cervical, breast and bowel screening programmes and the age from which screening is offered for each).
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Publication 2009
Awareness Breast Cognition Early Diagnosis Emotions General Practitioners Intestines Malignant Neoplasms Neck Obstetric Delivery Oncologists Vaginal Smears Woman

Most recents protocols related to «Intestines»

Example 3

16S rRNA sequencing of ileal biopsies showed that the mucosally-associated bacteria from pediatric CD patients had reduced alpha diversity (Faith's phylogenetic diversity) compared to non-IBD patients (FIG. 2A and FIG. 2B). In addition, by examining the beta diversity, we found that microbial communities were more dissimilar among CD patients than a separately recruited, slightly younger non-IBD patient cohort (FIG. 2C and FIG. 2D). In the pediatric population, healthy volunteers are not available. The non-IBD controls were culled from pediatric patients with abdominal pain, who had no evidence of intestinal inflammation by histology, and were primarily comprised of individuals with functional abdominal pain and irritable bowel syndrome. Analysis of the bacterial composition of CD and non-IBD patients revealed distinguishing taxa between non-IBD and CD patients (FIG. 9A, FIG. 9B and FIG. 9C). These results suggested that the non-IBD controls in this study, while slightly younger on average and exhibiting GI complaints without evidence of inflammation were nevertheless more homogeneous and maintained an overall diverse microbial community.

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Patent 2024
Abdominal Pain Bacteria Biopsy Healthy Volunteers Ileum Inflammation Intestines Irritable Bowel Syndrome Microbial Community Microbiome Mucous Membrane Patients RNA, Ribosomal, 16S Youth
Not available on PMC !

Example 20

Colitis in mouse was induced by adding 3% DSS (dextran sulfate sodium) in the drinking water for 12 consecutive days. Besides DSS placement, mice were daily treated with GLP-2 analogs (40 μg/kg/day) [GLP-2G is the GLP2 sequence with G2S mutation and is a known drug called teduglutide]. Cyclosporine A (20 mg/kg/day) was used for the positive control group and PBS for the negative control group. During the experiment period, body weight was measured every day.

Intestinal Weight Body Weight Measurement

Animals were sacrificed after 12 days of treatment. Small intestine was immediately excited and flushed with PBS. After PBS was gently squished out, intestinal weight was weighed using an analytical balance. Intestinal vs. body weight ratio was then calculated and analyzed.

Body weight and intestine weight versus body weight in DSS-induced colitis mice after daily administration of mTA68 for 12 days are shown in FIG. 23.

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Patent 2024
Aftercare Animals Body Weight Colitis Cyclosporine Dextran Sulfate Sodium Intestines Intestines, Small Mus Mutation Pharmaceutical Preparations teduglutide Ulcerative Colitis

Example 5

The Lactobacillus ingested through the oral cavity passes through the stomach with the lower acidity and the intestines with high digestive enzymes and are exposed to low pH of gastric acid, pepsin, intestinal bile salts and digestive enzymes. Therefore, in order to utilize microorganisms as probiotics, gastric juice resistance is essential to survive in low pH and enzymes, and bile juice resistance is essential to survive in extreme intestinal environment. In accordance with the present disclosure, experiments were conducted to identify resistance to artificial gastric juice and bile juice of the above two strains with superior inhibitory effects against Gardnerella vaginalis and Candida albicans. The pH of the gastric juice in the body is maintained at about 3.0, and the food passes through the stomach for about 3 hours. In general, when maintaining viable cell count for 3 hours or more at pH 3, the cells has the high resistance to acidity. In order to identify the intestinal viability of Lactobacillus, survival experiments for artificial gastric juice and artificial bile juice were conducted with reference to Maragkoudakis' method. MG4272 and MG4288 strains were streaked on MRS plate medium and incubated at 37° C. for 24 hours, and the resulting colonies were inoculated in MRS liquid medium and incubated (37° C., 24 hours). Then, 2% passage was incubated for 24 hours in fresh MRS medium. The culture medium was then centrifuged (4,000×g, 4° C., 5 minutes) and washed twice with phosphate-buffer saline (PBS, pH 7.4). The washed cells were adjusted to OD600 1.0 (108 to 109 CFU/mL) and used for resistance experiments to the artificial gastric juice and artificial bile solution, respectively. As a control, 900 μL of pH 7 PBS was added to 100 μL of diluted Lactobacillus and the mixture was shaken and the number of viable cells was measured immediately. In order to identify the resistance to gastric juice, pepsin (Sigma-Aldrich, Saint Louise, USA) was dissolved in 3 g/L of pH 3 to pH 4 PBS to prepare an artificial gastric juice. 100 μL of lactobacillus diluent was added to 900 μL of artificial gastric juice, shaken, and cultured at 37° C. In 3 hours, the viable cell count was measured. To identify resistance to the artificial bile juice, pancreatin (Sigma-Aldrich, Saint Louise, USA) was dissolved in 1 g/L at pH 7 to pH 8 to prepare artificial bile juice. 100 μL of lactobacillus diluent was added to 900 μL of artificial bile juice, shaken and incubated at 37° C. In 4 hours, the viable cell count was measured. The measured results are shown in Table 1 in terms of log CFU/ml.

TABLE 1
Artificial gastric juiceArtificial bile solution
Selectedtest grouptest group
strainsControlpH 3pH 4pH 7pH 8
MG42728.53 ± 0.018.47 ± 0.018.52 ± 0.018.52 ± 0.028.49 ± 0.02
MG42888.46 ± 0.068.40 ± 0.048.44 ± 0.028.41 ± 0.018.41 ± 0.02

As shown in Table 1 both strains of MG4272 and MG4288 were identified to maintain the viable cell count of 108 CFU/mL or more after 3 hours at pH 3, thereby identifying excellent acid resistance. In the artificial bile resistance test, both strains of MG4272 and MG4288 were identified to maintain the viable cell count of 108 CFU/mL or more, thereby identifying excellent bile resistance.

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Patent 2024
Acids Bile Buffers Candida albicans Cells Culture Media Digestion Enzymes Food Gardnerella vaginalis Gastric Acid Heartburn Human Body Intestines Juices, Gastric Lactobacillus Oral Cavity Pancreatin Pepsin A Phosphates Probiotics Psychological Inhibition Saline Solution Salts, Bile Stomach Strains

Example 2

Five cDNA libraries that had been produced from different human, tissues (foetal brain, intestine, lung, liver and T-cells) were used for the production, of the recombinant antigens. All cDNAs were expressed in E. coli under the transcriptional control of the lactose-inducible promoter. The resultant proteins carry, at their amino terminus, an additional sequence for a hexahistidine purification tag (His6 tag), Target, antigens which were not present, in the cDNA library were produced by chemical synthesis (Life Technologies) and cloned into the expression vector pQE30-NST, which already codes an amino-terminal His6 tag.

Following recombinant expression of the proteins, these were isolated in denaturising conditions and purified by means of metal affinity chromatography (IMAC). The proteins were lyophilised and stored set −20° C. until further use (http://www.lifesciences.sourceboioscience.com).

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Patent 2024
Antigens Brain cDNA Library Chromatography, Affinity Cloning Vectors DNA, Complementary Escherichia coli Fetus His-His-His-His-His-His his6 tag Homo sapiens imidazole-4-acetic acid Intestines Lactose Liver Lung Metals Proteins Recombinant Proteins T-Lymphocyte Tissues Transcription, Genetic

Example 8

Ceftriaxone (at 3 ug/ml or 1500 ug/ml) was mixed with human intestinal chyme alone, or with chyme plus SYN-004 (8 ug/ml) or with chyme plus the beta-lactamase inhibitor sulbactam, (20 mg/ml) or chyme plus both and then the samples were flash frozen. The flash frozen samples were thawed on ice and sulbactam was added to some samples, the protein was precipitated with acetonitrile and the samples were analyzed for ceftriaxone concentration by LC/MS-MS. The table below provides results from triplicate samples.

Percent of untreated control sample
Sample3 ug/ml ceftriaxone1500 ug/ml ceftriaxone
Ceftriaxone alone100% 1100% 1
Ceftriaxone plus SYN-004 0% 0%
Ceftriaxone plus SYN-004, sulbactam added at  0% 2%
sample thaw
Ceftriaxone plus sulbactam and then add SYN-004ND 253.5%  
1 Nominally set at 100%
2 Not done

Even at 20 mg/ml Sulbactam, 8 ug/ml of SYN-004 could not be inhibited (that's a molar ratio of about 287,000:1, sulbactam to SYN-004). Altogether, these data suggested that Sulbactam did not substantially inhibit SYN-004 activity in intestinal chyme.

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Patent 2024
acetonitrile beta-Lactamase Inhibitors Cardiac Arrest Ceftriaxone Defecation Freezing Homo sapiens Intestines Molar Proteins Sulbactam SYN-004 Tandem Mass Spectrometry TCL1B protein, human

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More about "Intestines"

The digestive tract, also known as the gastrointestinal (GI) system or alimentary canal, is a complex and vital part of the human body.
At the heart of this system lie the intestines, which are divided into the small intestine and the large intestine.
The small intestine, consisting of the duodenum, jejunum, and ileum, is responsible for the absorption of essential nutrients, fluids, and electrolytes.
The large intestine, including the cecum, colon, rectum, and anus, plays a crucial role in the final stages of digestion and waste elimination.
Optimal intestinal health is crucial for overall well-being, and research in this area has led to advancements in diagnostic and treatment options for a wide range of gastrointestinal conditions.
Leveraging the power of AI-driven platforms like PubCompare.ai can enhance the reproducibility and accuracy of intestines research, helping researchers identify the most effective protocols and products through a streamlined, data-driven approach.
When it comes to intestines research, various techniques and reagents are commonly used.
TRIzol reagent, a popular RNA extraction method, is often employed to isolate high-quality RNA from intestinal tissue samples.
Fetal bovine serum (FBS) and Dulbecco's Modified Eagle Medium (DMEM) are frequently used in cell culture experiments involving intestinal cell lines.
The RNeasy Mini Kit is another valuable tool for RNA purification, while TRIzol is a versatile reagent for the simultaneous extraction of RNA, DNA, and proteins.
FITC-dextran, a fluorescent tracer, is used to assess intestinal permeability, and penicillin/streptomycin is a common antibiotic combination used to prevent bacterial contamination in cell culture.
DNase I is utilized to remove any residual DNA during RNA purification, and Matrigel, a basement membrane matrix, is often employed in intestinal organoid cultures.
RNAlater, a stabilization reagent, helps preserve RNA integrity in intestinal tissue samples.
By leveraging these techniques and reagents, researchers can delve deeper into the complexities of the intestines and contribute to the advancement of gastrointestinal health.
PubCompare.ai, the AI-driven platform, can further streamline the research process, enhance reproducibility, and identify the most effective protocols and products for intestines research.