Looking for breakthrough ideas for innovation challenges? Try Patsnap Eureka!

Determination method and application of osteoporosis serum metabolic marker

An osteoporosis and measurement method technology, applied in the direction of measuring devices, instruments, scientific instruments, etc., can solve the problems of difficult early diagnosis of clinical patients and slow osteoporosis, and achieve a simple measurement method, less patient damage, and high sensitivity. Effect

Inactive Publication Date: 2016-02-24
NANJING UNIV OF TECH
View PDF0 Cites 4 Cited by
  • Summary
  • Abstract
  • Description
  • Claims
  • Application Information

AI Technical Summary

Problems solved by technology

However, the occurrence of osteoporosis is very slow, and the change is not obvious in a short period of time. It requires long-term observation and continuous detection. Once bone loss is found, the decrease in bone density is difficult to reverse, which brings great benefits to the early diagnosis of clinical patients. come with great difficulty

Method used

the structure of the environmentally friendly knitted fabric provided by the present invention; figure 2 Flow chart of the yarn wrapping machine for environmentally friendly knitted fabrics and storage devices; image 3 Is the parameter map of the yarn covering machine
View more

Image

Smart Image Click on the blue labels to locate them in the text.
Viewing Examples
Smart Image
  • Determination method and application of osteoporosis serum metabolic marker
  • Determination method and application of osteoporosis serum metabolic marker
  • Determination method and application of osteoporosis serum metabolic marker

Examples

Experimental program
Comparison scheme
Effect test

Embodiment Construction

[0024] The present invention is described in detail through examples.

[0025] (1) Collect samples

[0026] According to the diagnostic criteria recommended by the World Health Organization (WHO), bone mineral density decreased by 1 to 2.5 standard deviations as the osteopenia group, and the decrease was equal to or greater than 2.5 standard deviations as the osteoporosis group. Based on the above criteria, blood samples were collected from four experimental groups of premenopausal normal bone mass, postmenopausal normal bone mass, osteopenia and osteoporosis in the age group of 50 to 70 years old. During sample collection, the exclusion criteria were as follows:

[0027] a): Patients with diseases known to affect calcium or bone metabolism, such as severe malabsorption syndrome, inflammatory bowel disease, chronic liver disease, alcoholic cirrhosis, uncontrolled primary hyperparathyroidism or thyroid disease, Paget's bone disease, osteomalacia, etc.

[0028] b): secondary ...

the structure of the environmentally friendly knitted fabric provided by the present invention; figure 2 Flow chart of the yarn wrapping machine for environmentally friendly knitted fabrics and storage devices; image 3 Is the parameter map of the yarn covering machine
Login to View More

PUM

No PUM Login to View More

Abstract

The present invention discloses a determination method and application of normal and different osteoporosis pathological process human serum difference metabolites. First, premenopause and post-menopause normal, osteopenia and osteoporosis patient serum are collected, serum metabolic compound original data is obtained by gas chromatography mass spectrometry analysis technique, SIMCAP-11 software is used to establish a multi-dimensional statistical model to find and identify serum difference metabolites in premenopause bone mass normal and post-menopause bone mass normal and bone mass initiation loss patients and osteoporosis patients, a plurality of difference metabolites in higher correlation with the osteoporosis pathological process can be further determined by use of correlation analysis and ROC curve analysis, a technical support for the early diagnosis and prevention of osteoporosis is provided, and patients in the early osteoporosis stage in which most of the physiological and biochemical indexes are not clear can be alerted.

Description

technical field [0001] The invention relates to a measurement method and application of metabolic markers in serum of women with osteoporosis before and after menopause. It specifically involves the determination of metabolic small molecular substances in human serum by gas chromatography, and the analysis of premenopausal normal group (group I), osteopenia group (group II), osteoporosis patient group (group III) and postmenopausal normal group. (Group IV) Differential metabolite profiles between serum, looking for differential metabolic compounds related to the pathological process of osteoporosis, and providing technical support for the early stage and diagnosis of osteoporosis. Background technique [0002] Osteoporosis is a metabolic bone disease characterized by decreased bone mass, destruction of bone tissue microstructure, increased bone fragility, and increased incidence of fractures. Postmenopausal osteoporosis is a disease with high incidence in postmenopausal wom...

Claims

the structure of the environmentally friendly knitted fabric provided by the present invention; figure 2 Flow chart of the yarn wrapping machine for environmentally friendly knitted fabrics and storage devices; image 3 Is the parameter map of the yarn covering machine
Login to View More

Application Information

Patent Timeline
no application Login to View More
Patent Type & Authority Applications(China)
IPC IPC(8): G01N30/02
Inventor 张琪祁欢欢马博李静朱建伟
Owner NANJING UNIV OF TECH
Who we serve
  • R&D Engineer
  • R&D Manager
  • IP Professional
Why Patsnap Eureka
  • Industry Leading Data Capabilities
  • Powerful AI technology
  • Patent DNA Extraction
Social media
Patsnap Eureka Blog
Learn More
PatSnap group products

Browse by: Latest US Patents, China's latest patents, Technical Efficacy Thesaurus, Application Domain, Technology Topic, Popular Technical Reports.

© 2024 PatSnap. All rights reserved.Legal|Privacy policy|Modern Slavery Act Transparency Statement|Sitemap|About US| Contact US: help@patsnap.com