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

Novel metabolic marker for preparing liver cancer detection reagent and application thereof

A technology of metabolic markers and detection reagents, applied in the field of new metabolic markers, can solve the problems of limited accuracy of prediction sensitivity, high mortality rate of HCC, and limited accuracy of prognostic biomarkers

Active Publication Date: 2022-07-29
WUHAN UNIV
View PDF4 Cites 0 Cited by
  • Summary
  • Abstract
  • Description
  • Claims
  • Application Information

AI Technical Summary

Problems solved by technology

Clinically used for screening and diagnosing HCC include imaging methods (such as computed tomography (CT) and ultrasonography) and serum biomarkers (such as alpha-fetoprotein [AFP]), but the prediction of HCC by CT and AFP detection The sensitivity and accuracy of early HCC judgment are limited, the late diagnosis rate of HCC, and the accuracy of prognostic biomarkers are limited, resulting in a high mortality rate of HCC

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
  • Novel metabolic marker for preparing liver cancer detection reagent and application thereof
  • Novel metabolic marker for preparing liver cancer detection reagent and application thereof
  • Novel metabolic marker for preparing liver cancer detection reagent and application thereof

Examples

Experimental program
Comparison scheme
Effect test

Embodiment 1

[0039] Example 1: Construction of a mouse liver cancer model by injecting liver-specific AKT / NRAS / ALDH6A1 through high pressure tail vein injection

[0040] 1. Experimental animals and feeding: The experimental animals were C57BL / 6 (WT) mice, and male mice were selected, 8 weeks old.

[0041] 2. Animal feeding and environmental conditions: All experimental mice were kept in the SPF animal room of the School of Life Sciences, Wuhan University. Alternate lighting every 12 hours, temperature 24±2°C, humidity 40-70%, mice were allowed to drink and eat freely.

[0042] 3. Sleep Beauty high-pressure tail vein mouse liver cancer model construction:

[0043] 8-week-old WT male mice were selected. Control group (Control group): pT3-myr-AKT-HA, pT3-vector, pCMV(CAT)T7-SB100 and pT / Caggs-NRASV12 were placed in normal saline and injected into the tail vein of mice under high pressure. Experimental group (ALDH6A1 group): pT3-myr-AKT-HA, pT3-ALDH6A1, pCMV(CAT)T7-SB100 and pT / Caggs-NRASV1...

Embodiment 2

[0048] Example 2: Intraperitoneal injection of DEN / CCl 4 Induced mouse liver cancer model

[0049] 1. Experimental animals and feeding: experimental animals C57BL / 6 background wild type (WT) and Aldh6a1 knockout Aldh6a1 - / - Mice, select male mice, 2 weeks old.

[0050] 2. Animal feeding and environmental conditions: All experimental mice were kept in the SPF animal room of the School of Life Sciences, Wuhan University. Alternate lighting every 12 hours, temperature 24±2°C, humidity 40-70%, mice were allowed to drink and eat freely.

[0051] 3. DEN / CCl 4 Construction of mouse liver cancer model:

[0052] Select WT male mice and Aldh6a1 - / - male mice. Mice were injected intraperitoneally with DEN (25 mg / kg) on ​​day 14 of birth; CCl in olive oil at 8 weeks of age 4 (0.5ml / kg) by gavage, once every 2 days, up to 21 weeks. The health of the mice was checked weekly and recorded. At the end of 22 weeks, the whole blood was placed at 4 °C overnight, centrifuged at 2500 rpm, ...

Embodiment 3

[0056] Example 3: Detection of metabolites in liver tissue of liver cancer patients

[0057] 1. Collection of clinical liver cancer samples: Collect liver tissue samples (cancer tissue and paired paracancerous tissue) of clinical liver cancer patients. The samples are from Zhongnan Hospital of Wuhan University, approved by the Ethics Committee of Zhongnan Hospital of Wuhan University, and signed informed consent by the patients. All procedures comply with the Helsinki Rules. Liver cancer tissue and paired paracancerous tissue were snap-frozen in liquid nitrogen and stored in a -80°C refrigerator.

[0058] 2. Detection of tissue metabolite levels: 25 μg of liver cancer tissue and paired adjacent tissue were taken to extract tissue metabolites. The levels of propionyl-CoA and coenzyme A metabolites were detected by liquid chromatography-mass spectrometry (HPLC-MS / MS).

[0059] 3. Correlation analysis of metabolite levels in liver cancer tissue and pathology: The correlation an...

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 invention discloses a novel metabolic marker for preparing a liver cancer detection reagent and application of the novel metabolic marker. A liver cancer model is constructed through high-pressure caudal vein injection of liver specific expression AKT / NRAS / ALDH6A1 and a model of knocking out the liver cancer in a mouse by inducing Aldh6a1 through DEN / CCl4, the level of metabolites in mouse serum and liver cancer tissue is detected, and it is found that the content of propionyl coenzyme A is inversely proportional to the levels of ALT and AST in the mouse serum and is inversely proportional to the load of the mouse liver cancer. The level of metabolites in tumor tissues and para-carcinoma tissues of clinical liver cancer patients is detected, and the propionyl-coenzyme A level and the propionyl-coenzyme A / coenzyme A ratio in the tumor tissues are found to be remarkably lower than those in the para-carcinoma tissues and are inversely proportional to liver cancer grading and staging degrees, so that the propionyl-coenzyme A level and the propionyl-coenzyme A / coenzyme A ratio are shown to be in negative correlation with liver cancer grading and staging. The liver cancer prognosis and treatment effect can be more accurately and efficiently judged by utilizing the method.

Description

technical field [0001] The invention relates to the function and application fields of metabolites, in particular to a novel metabolic marker used for preparing a liver cancer detection reagent and its application. Background technique [0002] In recent years, hepatocellular carcinoma (HCC) is one of the malignant tumors with the highest mortality rate in the world, and about half of the newly diagnosed cases and deaths come from China. Clinical use for screening and diagnosing HCC includes imaging methods (eg, computed tomography (CT) and ultrasonography) and serum biomarkers (eg, alpha-fetoprotein [AFP]), but CT and AFP tests are predictive of HCC The limited sensitivity and accuracy of early-stage HCC diagnosis, the limited accuracy of late-stage HCC diagnosis, and the limited accuracy of prognostic biomarkers have resulted in a high mortality rate of HCC. Therefore, finding early biomarkers for HCC remains a top priority. [0003] As a major metabolic organ, the liver...

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): G01N30/02G01N21/78G01N21/31C12Q1/52
CPCG01N30/02G01N21/78G01N21/31C12Q1/52G01N2333/91188
Inventor 黄赞孙佳琪
Owner WUHAN UNIV
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