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Biomarker related to tendon injury

A technique for tendon injury, composition, applied in the field of biomarkers

Active Publication Date: 2022-07-29
BEIJING SPORT UNIV
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  • Summary
  • Abstract
  • Description
  • Claims
  • Application Information

AI Technical Summary

Problems solved by technology

At present, there are no literature reports on how to predict the prognosis of patients with tendon injuries using NSAIDs, so as to choose individualized treatment plans according to the differences between patients and improve the treatment effect

Method used

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  • Biomarker related to tendon injury
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  • Biomarker related to tendon injury

Examples

Experimental program
Comparison scheme
Effect test

Embodiment 1

[0070] Example 1 Evaluation of the effect of celecoxib on tendon injury

[0071] 1. Experimental materials:

[0072] 1. Experimental animal: SD rat (Speifu);

[0073] 2. Experimental equipment: automatic dehydrator (Leica, ASP200S), paraffin microtome (Leica, RM2235), baking table (Leica, HI1220), water bath (Leica, HI1220), heated paraffin embedding system (Leica, G1150) H), microscope (Leica, DM3000);

[0074]3. Experimental reagents: xylene (Sinopharm), anhydrous alcohol (Sinopharm), Citrate citrate buffer (pH6.0) (Zhongshan Jinqiao, ZLI-9064), PBS phosphate buffer (pH7.2-7.4) (Zhongshan Golden Bridge, ZLI-9061), hematoxylin staining solution (Zhongshan Golden Bridge, ZLI-9609), DAB kit (Zhongshan Golden Bridge, ZLI-9017), universal SPkit (Zhongshan Golden Bridge, SP-9000), neutral gum (Zhongshan Golden Bridge, SP-9000) , ZLI-9555), blocking solution (blocking solution, AR0150)

[0075] 2. Experimental method:

[0076] 1. Animal grouping

[0077] SD rats were purchase...

Embodiment 2

[0124] Example 2 Biomarkers associated with the prognosis of tendon injury treated with celecoxib

[0125] Samples were selected for RNA sequencing 14 days after administration, and the differentially expressed genes between the model group and the celecoxib administration group were analyzed by using DESeq2, with p value < 0.05.

[0126] result:

[0127] Compared with the model group, the celecoxib treatment group had 949 differentially expressed mRNAs (552 mRNAs were up-regulated, 397 mRNAs were down-regulated) and 34 differentially expressed lncRNAs (20 lncRNAs were up-regulated and 14 lncRNAs were expressed down). The GPRC5C gene expression involved in the present invention is up-regulated (such as Figure 4 The difference was statistically significant, suggesting that the GPRC5C gene can be used to predict the prognosis of patients with tendon injury using NSAIDs.

Embodiment 3

[0128] Example 3 Expression of GPRC5C in tendon injury samples

[0129] 1. Data sources

[0130] The GSE26051 dataset was downloaded from GEO with a sample size of 46 cases, including 23 tendon injury samples and 23 normal tendon samples.

[0131] 2. Differential expression analysis

[0132] Differential expression analysis was performed using the "limma" package in R software, and the screening criteria for differential genes were P.Value2 FC|>1.

[0133] 3. Results

[0134] The analysis results show that the biomarker GPRC5C involved in the present invention is down-regulated in tendon injury samples (such as Figure 5 and shown in Table 1).

[0135] Table 1. Expression of GPRC5C in tendon injury samples

[0136] Gene fold change AveExpr t P.Value GPRC5C -1.85 5.05 -3.16 0.00

[0137] Example 4 Diagnostic efficacy verification

[0138] The receiver operating curve (ROC) was drawn using the R package "pROC" (version 1.15.0), and the AUC va...

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Abstract

The invention discloses a biomarker related to tendon injury. The relation between GPRC5C and tendon injury is researched for the first time, it is found that after a tendon injury model mouse is treated with a non-steroidal anti-inflammatory drug, the expression quantity of GPRC5C in achilles tendon is increased, and it is prompted that GPRC5C can be used for predicting the prognosis of a tendon injury patient using the non-steroidal anti-inflammatory drug. Meanwhile, the correlation between GPRC5C and tendon injury is verified in a GEO data set. The invention also discloses a method for screening candidate drugs for preventing or treating tendon injury.

Description

technical field [0001] The present invention relates to the field of biomedicine, and more particularly, the present invention relates to a biomarker related to tendon injury. Background technique [0002] Tendons are composed of tenocytes and extracellular matrix. Tenocytes, as the parenchymal cells of tendons, are a kind of fibroblasts with special morphology, which account for the absolute majority of cell types in tendons. The extracellular matrix of the tendon is mainly composed of collagen fibers that are highly aligned along the long axis of the tendon. Due to constant mechanical loading, tendons are often affected by a variety of pathologies collectively referred to as tendinopathy. Tendon injuries have become a common clinical disorder due to overuse or age-related degeneration. The pathogenesis of tendinopathy is still not well understood, but many ideas are receiving increasing attention, such as the oxidative stress theory. Ischemia occurs when the tendon is ...

Claims

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Application Information

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IPC IPC(8): C12Q1/6883G01N33/68A61K45/00A61P19/04
CPCC12Q1/6883G01N33/6893G01N33/6872A61K45/00A61P19/04C12Q2600/106C12Q2600/118C12Q2600/136C12Q2600/158G01N2333/705G01N2800/52G01N2800/101
Inventor 张耀南
Owner BEIJING SPORT UNIV
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