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20 results for “intestinal microbiota composition”
Effects of Atractylodes Macrocephala Rhizoma polysaccharide on intestinal microbiota composition in rats with mammary gland hyperplasia
<p class="MsoNormal"><strong><span>Background</span></strong><span>: In recent years, Mammary gland hyperplasia (MGH) </span><span>has been</span><span> considered to be one of the diseases caused by endocrine disorders. It has been shown that diseases caused by endocrine disorders can be treated by regulating intestinal microbial. As a commonly used medicine in clinical practice, <em>Atractylodes </em></span><em><span>M</span></em><em><span>acrocephala Rhizoma</span></em><span> has good functions in regulating intestinal homeostasis. Therefore, this paper studied the effect of <em>Atractylodes </em></span><em><span>M</span></em><em><span>acrocephala Rhizoma</span></em><span> polysaccharide (AMP), on the intestinal flora of MGH rats, providing a new idea for polysaccharide treatment of MGH.</span></p> <p class="MsoNormal"><strong><span>Materials and methods</span></strong><span>: </span><span>Eighteen</span><span> female SD rats were selected and randomly divided into three groups, blank control group (Con), model control group (Mod) and AMP group, six rats in each group. MGH rat models were established by estradiol-progesterone combination and treated with AMP gastric infusion. The levels of E<sub>2</sub>, P and PRL in the serum of rats were measured, the intestinal contents were collected, and 16s rRNA high-throughput sequencing technology was used to analyze the changes of intestinal flora in the MGH rats.</span></p> <p class="MsoNormal"><strong><span>Results</span></strong><span>: AMP has good therapeutic effects on MGH rats, decreasing estradiol (E<sub>2</sub>) and prolactin (PRL) levels and increasing progesterone (P) levels, at the same time, it can regulate the abundance and diversity of intestinal flora of MGH rats, improve the disorder of intestinal flora caused by MGH </span><span>and </span><span>change the community structure, increase the abundance of beneficial flora and decrease the abundance of pathogenic flora.</span></p> <p class="MsoNormal"><strong><span>Conclusion</span></strong><span>: AMP can improve the intestinal microbiological environment of MGH rats, maintain the microecological balance of intestinal microbial</span><span>, and improve MGH symptoms</span><span>.</span></p>
Effects of Atractylodes Macrocephala Rhizoma polysaccharide on intestinal microbiota composition in rats with mammary gland hyperplasia
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Intestinal Microbiota Composition After Antibiotic Treatment in Early Life
ClinicalTrials.gov study NCT02536560. IPD Sharing: Not stated. Countries: 1. Publications: 6.
Data from: Impact of diet and individual variation on intestinal microbiota composition and fermentation products in obese men
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The intestinal microbiota regulates body composition through NFIL3 and the circadian clock
GEO Series GSE100339. mouse gut metagenome; Mus musculus. 32 samples. Type: Expression profiling by high throughput sequencing; Other.
Intestinal Microbiota Composition is Predictive of Radiotherapy-induced Acute Gastrointestinal Toxicity in Prostate Cancer Patients
GEO Series GSE268869. Bacteria. 215 samples. Type: Other.
Comparing the microbiota composition of stool, intestinal biopsy and saliva between patients with Adenoma and Adenocarcinoma
GEO Series GSE217490. Homo sapiens. 148 samples. Type: Other.
Intestinal Microbiota Composition in Patients With Chronic Pancreatitis and Pancreatic Exocrine Insufficiency
ClinicalTrials.gov study NCT05132309. IPD Sharing: Not stated. Countries: 1. Publications: 0.
Association Between the Composition of the Intestinal Microbiota and Tumor Response in Locally Advanced Rectal Cancer
ClinicalTrials.gov study NCT06181201. IPD Sharing: NO. Countries: 1. Publications: 0.
Impact of Dapagliflozin on Intestinal Microbiota Composition and on the Metabolites Derived from the Intestinal Microbiota in Non-diabetic Chronic Renal Failure Patients
ClinicalTrials.gov study NCT05965440. IPD Sharing: NO. Countries: 1. Publications: 0.
Evaluation the Effect of AKK Formula on Intestinal Microbiota Regulation and Body Composition
ClinicalTrials.gov study NCT06132269. IPD Sharing: Not stated. Countries: 1. Publications: 0.
Influence of Stroke on the Composition of Intestinal Microbiota
ClinicalTrials.gov study NCT02008604. IPD Sharing: Not stated. Countries: 1. Publications: 0.
Gender and strain dependent differences in intestinal immunology correlate with differences in microbiota composition (ileum)
GEO Series GSE85912. Mus musculus. 16 samples. Type: Expression profiling by array.
Saturated fat stimulates obesity and hepatic steatosis and affects gut microbiota composition by an enhanced overflow of dietary fat to the distal intestine
GEO Series GSE18586. Mus musculus. 9 samples. Type: Expression profiling by array.
Intestinal microbiota composition modulates choline bioavailability from diet and accumulation of the pro-atherogenic metabolite trimethylamine-N-oxide
GEO Series GSE63461. mouse metagenome. 116 samples. Type: Other.
Maternal exposure to a Western-style diet causes differences in microbiota composition and gene expression in the intestine of suckling mouse pups
GEO Series GSE72705. Mus musculus. 48 samples. Type: Expression profiling by array.
Gender and strain dependent differences in intestinal immunology correlate with differences in microbiota composition
GEO Series GSE85913. Mus musculus. 34 samples. Type: Expression profiling by array.
Combining Prebiotic and Diet/Physical Activity Educational Program Effects on Body Composition and Intestinal Microbiota in Children
ClinicalTrials.gov study NCT05671731. IPD Sharing: NO. Countries: 0. Publications: 0.
Gender and strain dependent differences in intestinal immunology correlate with differences in microbiota composition (colon)
GEO Series GSE85911. Mus musculus. 18 samples. Type: Expression profiling by array.
Composition and metabolic activity of the intestinal microbiota in obese children and adolescents
<p>The intestinal microbiota, according to modern data, is a “metabolic organ". Scientists distinguish a bidirectional "gut-brain" axis, the connection between the components of which is carried out thanks to intestinal microbiota and its metabolites (dopamine, short-chain fatty acids, etc.). Currently, scientific data continue to accumulate actively, studying the relationship of intestinal microbiota disorders and the development of obesity [Abenavoli, L., 2019 г. Julita Tokarek, et, 2022]. The problem of the relationship of the composition, metabolic effects of intestinal microbiota in the development of obesity has not been sufficiently studied and requires additional clarification. The study included children aged 6-18 years with obesity or overweight (74 people) (SDS BMI criterion ≥ 1) and 44 conditionally healthy children and adolescents without acute and severe chronic diseases with normal body weight (SDS BMI ≤1.0, WHO criteria). Anamnestic data were analyzed with the identification of risk factors for the development of obesity and metabolic syndrome, objective status data were evaluated, venous blood was taken (general blood analysis, biochemical blood analysis, study of the extended lipid spectrum (total cholesterol, triglycerides, high-density lipoprotein cholesterol, low-density lipoprotein cholesterol, atherogenicity index), hormones (insulin, leptin, resistin, irisin, GLP-1 and GLP-2). Instrumental research methods (ultrasound examination of abdominal organs, bioimpedance). Microbiota composition was studied by mass spectrometry (blood and feces) and 16S-RNA sequencing (feces) and microbiota metabolic activity by gas mass spectrometry (feces). The aim of the study was to establish the significance of the composition and metabolic activity of the intestinal microbiota, clinical and hormonal disorders in overweight and obese children and adolescents for early diagnosis of carbohydrate metabolism disorders. Data have been obtained that the taxonomic composition of the intestinal microbiota in obese and overweight children is characterized by the predominance of a stable phylum (type) of <em>Actinobacteriota</em> and a decrease in the phylum of <em>Bacteroidota</em>, which are part of the phylogenetic nucleus. The metabolic activity of the intestinal microbiota in obese and overweight children is characterized by a decrease in the production of all short-chain fatty acids, mainly butyrate, which is accompanied by a decrease in some types of butyrate-producing bacteria, such as <em>Faecalibacterium</em>. The greatest influence on metabolic activity is exerted by bacteria of the genus <em>Bacteroides</em>, the species <em>Bacteroides_eggerthii</em>. A decrease in the production of short-chain fatty acids in obese and overweight children leads to a decrease in the level of incretins, especially GLP-1 and GLP-2 in the blood, contributing to the development of carbohydrate metabolism disorders.</p>
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Allen Brain Atlas
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Annotated Behaviour and Observability Dataset (ABODe)
ABODe is a University of Edinburgh DataShare dataset for behavior classification in group-housed mice using home-cage video, identities, bounding boxes, ground-plate positions, and annotator labels.
DANDI Archive for NWB datasets
DANDI is a BRAIN Initiative archive for publishing and sharing neurophysiology data, including electrophysiology, optophysiology, and behavioral data packaged as NWB and related standards.
International Brain Laboratory public data
The International Brain Laboratory public data releases expose standardized mouse decision-making experiments, including Neuropixels recordings, widefield calcium imaging, behavior, and session metadata accessed through the ONE API.
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