反复着床失败关键基因及中药预测分析

郭佳易; 贺丰杰; 陈梅; 白俊; 王海静; 李楠

doi:10.3969/j.issn.2095-6606.2023.03.003

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反复着床失败关键基因及中药预测分析

临床研究 | 更新时间：2023-06-06

- 反复着床失败关键基因及中药预测分析
- Identification of potential crucial genes in and Chinese herbal remedies for repeated implantation failure: a bioinformatic analysis
- 现代中医临床 2023年30卷第3期页码：12-20
- 作者机构：
  
  1.陕西中医药大学　咸阳　712000
  2.陕西中医药大学附属医院
- 作者简介：
  
  郭佳易，女，在读硕士生
  # 李楠，女，博士，主任医师，硕士生导师，E-mail：linan_80_311@163.com
- 基金信息：
  
  国家自然科学基金资助项目(81603656);国家中医药管理局全国名老中医药专家传承工作室建设项目(国中医药人教函[2022]75号);国家重大疑难疾病不孕不育中西医临床协作试点项目;陕西省科技厅自然科学基础研究计划青年项目(2023-JC-QN-0899);陕西中医药大学不孕不育创新团队(132041929)
- DOI：10.3969/j.issn.2095-6606.2023.03.003
  中图分类号： R318.04
- 纸质出版日期：2023-05-30，
  
  收稿日期：2022-07-19，
- 稿件说明：
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郭佳易, 贺丰杰, 陈梅, 等. 反复着床失败关键基因及中药预测分析[J]. 现代中医临床, 2023,30(3):12-20.

GUO Jiayi, HE Fengjie, CHEN Mei, et al. Identification of potential crucial genes in and Chinese herbal remedies for repeated implantation failure: a bioinformatic analysis[J]. Modern Chinese Clinical Medicine, 2023,30(3):12-20.
郭佳易, 贺丰杰, 陈梅, 等. 反复着床失败关键基因及中药预测分析[J]. 现代中医临床, 2023,30(3):12-20. DOI： 10.3969/j.issn.2095-6606.2023.03.003.

GUO Jiayi, HE Fengjie, CHEN Mei, et al. Identification of potential crucial genes in and Chinese herbal remedies for repeated implantation failure: a bioinformatic analysis[J]. Modern Chinese Clinical Medicine, 2023,30(3):12-20. DOI： 10.3969/j.issn.2095-6606.2023.03.003.

摘要

目的

利用生物信息学方法确定反复着床失败(RIF)的潜在治疗靶点、生物过程及相关通路，预测作用于关键基因的治疗中药。

方法

从GEO数据库下载RIF子宫内膜组织微阵列数据集，用R软件鉴定差异表达基因(DEGs)。进行富集分析，构建蛋白质-蛋白质相互作用(PPI)网络，了解DEGs的功能和富集途径，并鉴定关键基因。最后利用Coremine Medical 分析得出作用于RIF关键基因的中药。

结果

共筛选出差异基因250个，这些DEGs参与调节有机环状化合物生物合成、氮化合物代谢过程的正调控、细胞代谢过程的正调控、细胞活化、生物黏附、白细胞活化等生物学过程，与趋化因子信号通路、Apelin信号通路、神经活性配体-受体相互作用等存在关联。筛选关键基因

PTGS

2、

AGT

、

VCAM

1、

3、

FGB

、

RBP

4、

IGFBP

1、

PLA

10、

MUC

1、

GJA

1、

ACTA

2、

LPAR

3、

ABCG

1、

HABP

2、

CYP

1、

FETUB

、

GPX

3、

PTGS

1、

PLA

、

2，作用于关键基因的中药有人参、肉苁蓉、黄芪、山药、沙苑子、菟丝子、丹参、三七等。

结论

通过筛选RIF关键基因，预测潜在的治疗中药，为临床治疗提供了重要的策略和方向。

Abstract

Objective

To use bioinformatics method to identify potential therapeutic targets

biological processes and related pathways of repeated implantation failure (RIF)

and to predict Chinese herbal remedies for the genes.

Methods

The RIF endometrial tissue microarray dataset was downloaded from the GEO database

and R software was used to identify differentially expressed genes (DEGs). Enrichment analysis was performed to construct protein-protein interaction (PPI) networks to understand the functions and enrichment pathways of DEGs and to identify key genes. Finally

Coremine Medical analysis was used to identify herbal medicines acting on RIF key genes.

Results

A total of 250 differential genes were screened out. These DEGs were involved in the regulation of biosynthesis of organic cyclic compounds

positive regulation of nitrogen compound metabolism

positive regulation of cell metabolism

cell activation

bioadhesion

leukocyte activation and other biological processes. It was associated with chemokine signaling pathway

apelin signaling pathway

neuroactive ligand-receptor interaction

etc. The key genes identified include

PTGS

AGT

VCAM

FGB

RBP

IGFBP

PLA

MUC

GJA

ACTA

LPAR

ABCG

HABP

CYP

FETUB

GPX

PTGS

PLA

and

2. TCM herbs found to act on the genes were Renshen (Radix et Rhizoma Ginseng)

Roucongrong (Herba Cistanches)

Huangqi (Radix Astragali)

Shanyao (Rhizoma Dioscoreae)

Shayuanzi (Semen Astragali Complanati)

Tusizi (Semen Cuscutae)

Danshen (Radix et Rhizoma Salviae Miltiorrhizae)

and Sanqi (Radix et Rhizoma Notoginseng).

Conclusions

By screening the key genes of RIF and predicting potential therapeutic Chinese herbal medicines

this study provides important strategies and directions for future treatment.

关键词

生物信息学反复着床失败关键基因治疗中药

Keywords

bioinformaticsrepeated implantation failurekey genestraditional Chinese medicine

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