Composition for improving liver metabolism and diagnostic method

A composition and metabolite technology, applied in the field of liver metabolism composition, can solve problems such as no mechanism of action

Inactive Publication Date: 2010-12-15
VALIO LTD
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  • Summary
  • Abstract
  • Description
  • Claims
  • Application Information

AI Technical Summary

Problems solved by technology

Furthermore, these ob / ob mouse models of insulin resistance using genetically induced obesity do not show any mechanism of action and are not very human-like experimental models for lipidomic studies

Method used

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  • Composition for improving liver metabolism and diagnostic method
  • Composition for improving liver metabolism and diagnostic method
  • Composition for improving liver metabolism and diagnostic method

Examples

Experimental program
Comparison scheme
Effect test

Embodiment 1

[0052] Example 1. Body weight and fat content

[0053] Eight-week-old male C57BI / 6J mice (n=40, Harlan, Horst, The Netherlands) were housed 5 per cage in a standard laboratory animal laboratory with lighting from 6:30 am to 6:30 pm , the temperature is 22±1°C. Mice received food and tap water ad libitum. Thirty mice (25.5 ± 0.3 g) received a high-fat diet (60% of energy from Fat; protein 23.4%, carbohydrate 26.6%, fat 35.3%, fiber 6.5%; protein = Alacid 714 acid casein, NZMP, Auckland, New Zealand). The remaining ten mice continued to be fed a normal diet (ad libitum) throughout the study (lean control group). After a 14-week weight gain period fed a high-fat diet, one group of mice (obese group, n=10) was sacrificed and the remaining mice received an energy-restricted diet for 7 weeks. During energy restriction, mice received 70% of the energy consumed during ad libitum feeding. At the beginning of the energy restriction period, weight-matched mice were divided into two ...

Embodiment 2

[0056] Example 2. Metabolic profile analysis

[0057] Sample preparation: At the end of the treatment period, with CO 2 / O 2 Mice were comatose (95% / 5%) and then decapitated. The liver was removed, washed with saline, blotted dry and weighed. Tissue samples were snap frozen in liquid nitrogen and stored at -80°C prior to testing.

[0058] Lipids from lipidomic analysis were named according to Lipid Maps (http: / / www.lipidmaps.org). For example, lysolecithin with a 16:0 fatty acid chain is named monoacyl-glycerophosphatidylcholine GPCho (16:0 / 0:0). In cases where the fatty acid composition was not determined, the total number of carbon atoms and double bonds is indicated. For example, the lecithin species GPCho(16:0 / 20:4) is represented as GPCho(36:4). However, GPCho(36:4) can also represent other molecular species such as GPCho(20:4 / 16:0) or GPCho(18:2 / 18:2).

[0059] Lipidomics: liver tissue samples (n=10 / group), 10 μl containing GPCho(17:0 / 17:0), GPEtn(1p:0 / 17:0) (glyc...

Embodiment 3

[0072] Example 3. Metabolic profile analysis of serum

[0073] Sample preparation: Serum samples were analyzed by adding aliquots (10 μl) of an internal standard mixture containing equal amounts of internal standards (GPCho(17:0 / 0:0), GPCho(17:0 / 17:0), GPEtn(17:0 / 17:0), GPGro(17:0 / 17:0)[rac], Cer(d18:1 / 17:0), GPSer(17:0 / 17: 0) and GPA(17:0 / 17:0) (from Avanti Polar Lipids) and MG(17:0 / 0:0 / 0:0)[rac], DG(17:0 / 17:0 / 0: 0) [rac] and TG (17:0 / 17:0 / 17:0) (from Larodan Fine Chemical)), and 0.05M NaCl (10 μl) was added to the serum sample (10 μl), and the lipid was used Chloroform / methanol (2:1, 100 μl) extraction. After spinning (2 minutes), standing (1 hour), centrifugation (10000 RPM, 3 minutes), the lower layer was separated and a standard mixture containing 3 labeled standard lipids was added (10 μl) to the extract. The standard solution contained 10 μg / ml (in chloroform:methanol 2:1) GPCho (16:0 / 0:0-D3), GPCho (16:1 / 16:1-D6) and TG (16:0 / 16: 0 / 16:0-13C3), all from Larodan Fin...

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Abstract

There is a need to develop a treatment for metabolic syndrome, which is directed to maintaining healthy liver metabolism and not indirectly through weight loss. The present invention provides a composition comprising whey protein for supporting and improving liver metabolism, especially in connection with fatty liver. The composition can further comprise Ca and health improving components such as probiotics and prebiotics. The composition can be in the form of food, health food, food supplement or drugs. Furthermore, due to the complexity of choice of a valid biomarker and sample matrix, there is a special need to find out specific biomarkers for fatty liver and metabolic syndrome. This invention also relates to a diagnostic method for determining fatty liver on the basis of metabolomic profiling. Statistical modelling methods are used on the metabolomic profiles to identify the biomarkers.

Description

technical field [0001] The present invention relates to a composition for supporting and improving liver metabolism, especially in connection with fatty liver, said composition comprising whey protein. Furthermore, the present invention relates to a diagnostic method for determining fatty liver based on metabolic profiling. Background technique [0002] Abdominal obesity is strongly associated with the development of metabolic syndrome. Weight loss is one of several effective treatments known to reduce metabolic syndrome. However, metabolic syndrome does not have to be caused by obesity. On the other hand, not all obese people develop metabolic syndrome. The importance of fatty liver in the development of metabolic syndrome has only been recognized in recent years. [0003] It has been shown that fat accumulation in the liver is a key feature that distinguishes individuals who develop metabolic syndrome from those who do not (Kotronen, A. and Yki- H., Fatty Liver. A No...

Claims

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Application Information

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Patent Type & Authority Applications(China)
IPC IPC(8): A61K35/20A61K38/17A61P1/16A61P3/00G01N33/92A23C21/00A23J1/20
CPCA23V2002/00G01N33/6893G01N2800/04A23L1/304A23L1/3056A61K38/018A23L33/16A23L33/19A61P1/16A61P3/00A61P3/04A61P3/06A61P9/12A61P3/10A23V2200/332A23V2200/32A23V2250/54252A23V2250/1578A23C21/00A23C21/02A23C21/10A61K35/20
Inventor 塔鲁·皮尔维埃罗·梅瓦拉丽塔·科尔佩拉
Owner VALIO LTD
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