38 results about "Visceral adipose" patented technology

The present invention provides a polypeptide predominantly expressed in visceral adipose tissue, which can be used as a marker for measuring the level of visceral adipose tissue in a patient. The present invention also provides methods of measuring visceral adipose tissue levels by obtaining a biological sample and detecting and / or measuring an increase in one or more polypeptides as disclosed herein. Screening methods for agonists and antagonists involving specific polypeptides disclosed herein are provided. Antibodies can be raised against these polypeptide markers for detection and / or treatment of metabolic syndrome involving co-morbidities.

A medical image diagnosing support apparatus comprises: a first extraction means which extracts a body region of a subject from a tomographic image of the subject acquired by a medical tomographic apparatus; a second extraction means which extracts a non-adipose region from the body region; a third extraction means which extracts a total body adipose region from the body region; a separation means which separates the total body adipose region into a visceral adipose region and a subcutaneous adipose region based on positional information of the non-adipose region; and a display control means which controls of displaying the tomographic image on an image display device with clear indication of the visceral adipose region and the subcutaneous adipose region.

The invention relates to an intra-abdominal adipose tissue segmentation method based on deep learning, and is used for segmenting visceral adipose tissue and subcutaneus adipose tissue at the same time. The method comprises the following steps: recognizing abdominal adipose tissue pixel points; performing deep learning on the recognized abdominal adipose tissue pixel points, so as to obtain substantive characteristics of the abdominal adipose tissue pixel points; inputting the substantive characteristics of the abdominal adipose tissue pixel points into a classification algorithm, so as to obtain a preliminary segmentation result; converting the preliminary segmentation result to a polar coordinate, and further amending abdominal adipose tissue pixel points which are misclassified, so as to obtain an abdominal adipose tissue segmentation map; computing the ratios of various adipose tissues in the abdominal adipose tissue segmentation map according to gradients, and visually displaying a computed result through a volume rendering technology. Compared with the prior art, the method has the advantages that the application is timely, retraining is not required, the error rate is low, the precision degree is high, and fully automatic segmentation is realized.

A method and system for determining normalized metrics for visceral adipose tissue (VAT) mass and volume estimation. The normalized metrics including a VAT average cross-section determined by dividing a VAT volume by a height of the abdominal region of interest, and a VAT linear mass density determined by dividing the VAT mass by a height of an abdominal region of interest.

The invention discloses a green tea and carnitine capsule with the function of reducing weight. The green tea and carnitine capsule is characterized by being prepared in the following steps of taking a green tea extract with green tea as the raw material, adding L-carnitine tartrate, carrying out mixing, granulating, drying and straightening, then adding silicon dioxide and magnesium stearate, mixing the materials uniformly, then filling the mixture in a capsule and carrying out polishing, packaging and irradiation sterilization, thus preparing the green tea and carnitine capsule. The green tea and carnitine capsule has the beneficial effects that the green tea and carnitine capsule takes green tea and L-carnitine tartrate as the raw materials and organically combines the theory of traditional Chinese medicine with modern medicine to achieve the functions of removing fat and reducing weight; the traditional high-temperature green tea extraction method is changed, thus retaining the natural substances of fresh leaves; green tea hydrolysate obtained by adopting enzyme extraction is easy in control of molecular weight, has greenness and has strong activity and important biological functions, thus achieving the function of inhibiting obesity, especially visceral fat.

The present invention relates to human milk fortifiers comprising high protein content and long chain poly-unsaturated fatty acids. Use of such human milk fortifier improves the body adipose tissue distribution by increasing the subcutaneous adipose tissue mass, while at the same time not increasing visceral adipose tissue.

A method and system for estimating the visceral adipose tissue (VAT) mass or volume of a subject comprises performing a dual-energy X-ray scan of the subject; generating at least one image of the subject from the dual-energy X-ray scan; identifying a region of interest on the at least one image; dividing the region of interest into a plurality of sections; determining an outer transverse extent of a coelom or inner abdominal cavity of the subject; determining a subcutaneous adipose tissue (SAT) composition for each of the plurality of sections, wherein the SAT composition determination is restricted to an area directly anterior and posterior the coelom or inner abdominal cavity of the subject; and determining a VAT mass and / or volume for the region of interest based on the determined SAT composition for each of the plurality of section.

Provided is a metabolism improving agent that comprises an alkalizer such as an acidosis ameliorating agent or a urine alkalizer as an active ingredient and has effects of improving insulin resistance, improving pituitary and adrenal functions, reducing visceral fat accumulation, etc.

The invention belongs to the technical field of medicine preparation, and in particular relates to the application of adipokines GREM2 in the preparation of medicines for treating obesity. By detecting the serum GREM2 level, it was found that the serum GREM2 level of obese patients was significantly higher than that of normal weight controls. Through expression profiling analysis, it was found that the secreted factor GREM2 was mainly expressed in visceral adipose tissue. Further in vitro primary adipocyte induction experiments found that overexpression of GREM2 can significantly inhibit the ability of adipocytes to differentiate into beige fat, inhibit the function of mitochondria, and significantly reduce the expression of brown fat-specific gene UCP1. This effect is mediated by inhibiting the BMP / Smad signaling pathway. The present invention finds for the first time that the secretion factor GREM2 is mainly derived from mature white fat cells, and that GREM2 is involved in the browning process of white fat. Therefore, GREM2 can provide a new drug target for the clinical treatment of obesity.

A method and system for estimating the visceral adipose tissue (VAT) mass or volume of a subject comprises performing a dual-energy X-ray scan of the subject; generating at least one image of the subject from the dual-energy X-ray scan; identifying a region of interest on the at least one image; dividing the region of interest into a plurality of sections; determining an outer transverse extent of a coelom or inner abdominal cavity of the subject; determining a subcutaneous adipose tissue (SAT) composition for each of the plurality of sections, wherein the SAT composition determination is restricted to an area directly anterior and posterior the coelom or inner abdominal cavity of the subject; and determining a VAT mass and / or volume for the region of interest based on the determined SAT composition for each of the plurality of section.

The present invention relates to a visceral adipose tissue macrophage-targeted non-viral gene / carrier complex for preventing and treating obesity-induced type II diabetes. More specifically, the gene / carrier complex according to the present invention delivers a therapeutic gene in a stable manner in a case of being injected into the body with the visceral adipose tissue macrophages being targeted, and thus exhibits an excellent inhibitory effect against TACE, which allows the gene / carrier complex to be applied for prevention or treatment of obesity-induced type II diabetes.

Disclosed is an agent for accelerating the increase in and / or preventing the decrease in the blood adiponectin level, or a food, beverage or animal feed for accelerating the increase in and / or preventing the decrease in the blood adiponectin level, which comprises a culture or cell of a lactic acid bacterium belonging to the genus Lactobacillus, particularly Lactobacillus gasseri or Lactobacillus helveticus as an active ingredient. Also disclosed is a visceral fat accumulation inhibitor or a food or beverage for inhibiting the accumulation of a visceral fat, which comprises a culture or cell of Lactobacillus helveticus as an active ingredient.

A method and system for determining normalized metrics for visceral adipose tissue (VAT) mass and volume estimation. The normalized metrics including a VAT average cross-section determined by dividing a VAT volume by a height of the abdominal region of interest, and a VAT linear mass density determined by dividing the VAT mass by a height of an abdominal region of interest.

The invention provides an automatic intra-abdominal muscle and fat image segmentation method, which is used for simultaneously segmenting abdominal muscle tissues, visceral fat tissues and subcutaneous fat tissues. The method mainly comprises the following steps of: classifying pixels of an abdominal image to obtain a preliminary pixel value change range of fat tissues, muscle tissues and a background part; Secondly, performing further segmentation on the basis of the pixel value change range of the muscle tissue to obtain an outer contour part and an inner contour part of the muscle respectively, and finishing the segmentation of the muscle tissue based on the parts. Finally, the adipose tissue segmented in the first step is divided into two parts by the muscle tissue, and the visceral adipose tissue is located in the muscle tissue. The subcutaneous adipose tissue is located outside the muscle tissue. Compared with the prior art, the method has the advantages that all sliced musculartissues and adipose tissues are segmented at a time, the correct rate is high, and full-automatic segmentation is achieved.

The invention discloses a machine learning-based human body weight loss program recommendation method, system and medium, constructs a training set, and collects several measured values ​​of human body functions for each training sample; preprocesses the collected measured values; The features of basal metabolic rate, trunk subcutaneous fat percentage and visceral fat index are extracted from the measured values, and the extracted features of basal metabolic rate, trunk subcutaneous fat percentage and visceral fat index are fused, and the fused features of each sample are combined with each The pre-set weight loss program labels for each sample are input into the pre-built neural network model for training, and the trained neural network model is obtained; a number of human body function measurement values ​​are collected for the test samples; the collected measurement values ​​are preprocessed; Three features are extracted from the preprocessed measurement values, and feature fusion is performed. The fused features of each test sample are input into the trained neural network model, and the recommended weight loss plan is output.