• 文献检索
  • 文档翻译
  • 深度研究
  • 学术资讯
  • Suppr Zotero 插件Zotero 插件
  • 邀请有礼
  • 套餐&价格
  • 历史记录
应用&插件
Suppr Zotero 插件Zotero 插件浏览器插件Mac 客户端Windows 客户端微信小程序
定价
高级版会员购买积分包购买API积分包
服务
文献检索文档翻译深度研究API 文档MCP 服务
关于我们
关于 Suppr公司介绍联系我们用户协议隐私条款
关注我们

Suppr 超能文献

核心技术专利:CN118964589B侵权必究
粤ICP备2023148730 号-1Suppr @ 2026

文献检索

告别复杂PubMed语法,用中文像聊天一样搜索,搜遍4000万医学文献。AI智能推荐,让科研检索更轻松。

立即免费搜索

文件翻译

保留排版,准确专业,支持PDF/Word/PPT等文件格式,支持 12+语言互译。

免费翻译文档

深度研究

AI帮你快速写综述,25分钟生成高质量综述,智能提取关键信息,辅助科研写作。

立即免费体验

慢性胃炎和骨质疏松症的临床特征和共同发病机制。

Clinical features and shared mechanisms of chronic gastritis and osteoporosis.

机构信息

Department of Spine, Wangjing Hospital, China Academy of Chinese Medical Sciences, Huajiadi Street, Chaoyang District, Beijing, 100102, China.

School of Traditional Chinese Medicine & School of Integrated Chinese and Western Medicine, Nanjing University of Chinese Medicine, Nanjing, China.

出版信息

Sci Rep. 2023 Mar 27;13(1):4991. doi: 10.1038/s41598-023-31541-8.

DOI:10.1038/s41598-023-31541-8
PMID:36973348
原文链接:https://pmc.ncbi.nlm.nih.gov/articles/PMC10042850/
Abstract

Chronic gastritis (CG) and osteoporosis (OP) are common and occult diseases in the elderly and the relationship of these two diseases have been increasingly exposed. We aimed to explore the clinical characteristics and shared mechanisms of CG patients combined with OP. In the cross-sectional study, all participants were selected from BEYOND study. The CG patients were included and classified into two groups, namely OP group and non-OP group. Univariable and multivariable logistic regression methods were used to evaluate the influencing factors. Furthermore, CG and OP-related genes were obtained from Gene Expression Omnibus (GEO) database. Differentially expressed genes (DEGs) were identified using the GEO2R tool and the Venny platform. Protein-protein interaction information was obtained by inputting the intersection targets into the STRING database. The PPI network was constructed by Cytoscape v3.6.0 software again, and the key genes were screened out according to the degree value. Gene function enrichment of DEGs was performed by Webgestalt online tool. One hundred and thirty CG patients were finally included in this study. Univariate correlation analysis showed that age, gender, BMI and coffee were the potential influencing factors for the comorbidity (P < 0.05). Multivariate Logistic regression model found that smoking history, serum PTH and serum β-CTX were positively correlated with OP in CG patients, while serum P1NP and eating fruit had an negative relationship with OP in CG patients. In studies of the shared mechanisms, a total of 76 intersection genes were identified between CG and OP, including CD163, CD14, CCR1, CYBB, CXCL10, SIGLEC1, LILRB2, IGSF6, MS4A6A and CCL8 as the core genes. The biological processes closely related to the occurrence and development of CG and OP mainly involved Ferroptosis, Toll-like receptor signaling pathway, Legionellosis and Chemokine signaling pathway. Our study firstly identified the possible associated factors with OP in the patients with CG, and mined the core genes and related pathways that could be used as biomarkers or potential therapeutic targets to reveal the shared mechanisms.

摘要

慢性胃炎(CG)和骨质疏松症(OP)是老年人中常见的隐匿性疾病,这两种疾病之间的关系日益受到关注。本研究旨在探讨合并 OP 的 CG 患者的临床特征和共同发病机制。本横断面研究从 BEYOND 研究中选取所有参与者。纳入 CG 患者,并分为 OP 组和非 OP 组。采用单变量和多变量逻辑回归方法评估影响因素。此外,从基因表达综合数据库(GEO)中获取 CG 和 OP 相关基因。使用 GEO2R 工具和 Venny 平台鉴定差异表达基因(DEGs)。将交集靶基因输入 STRING 数据库获取蛋白质-蛋白质相互作用信息。再次使用 Cytoscape v3.6.0 软件构建 PPI 网络,并根据度数值筛选关键基因。通过 Webgestalt 在线工具对 DEGs 进行基因功能富集分析。最终纳入 130 例 CG 患者。单因素相关性分析表明,年龄、性别、BMI 和咖啡是合并症的潜在影响因素(P<0.05)。多变量 Logistic 回归模型发现,CG 患者中吸烟史、血清 PTH 和血清 β-CTX 与 OP 呈正相关,而血清 P1NP 和吃水果与 CG 患者的 OP 呈负相关。在共同发病机制研究中,共鉴定出 CG 和 OP 之间的 76 个交集基因,包括 CD163、CD14、CCR1、CYBB、CXCL10、SIGLEC1、LILRB2、IGSF6、MS4A6A 和 CCL8 等核心基因。与 CG 和 OP 发生发展密切相关的生物学过程主要涉及铁死亡、Toll 样受体信号通路、军团菌病和趋化因子信号通路。本研究首次鉴定了 CG 患者合并 OP 的可能相关因素,并挖掘了可能作为生物标志物或潜在治疗靶点的核心基因和相关通路,以揭示共同发病机制。

https://cdn.ncbi.nlm.nih.gov/pmc/blobs/84a3/10042850/28cf6f1422eb/41598_2023_31541_Fig5a_HTML.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/84a3/10042850/a37babc39d33/41598_2023_31541_Fig1_HTML.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/84a3/10042850/0e1ed65b0bbb/41598_2023_31541_Fig2_HTML.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/84a3/10042850/1504f6c20936/41598_2023_31541_Fig3_HTML.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/84a3/10042850/e18a55b74bdc/41598_2023_31541_Fig4_HTML.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/84a3/10042850/28cf6f1422eb/41598_2023_31541_Fig5a_HTML.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/84a3/10042850/a37babc39d33/41598_2023_31541_Fig1_HTML.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/84a3/10042850/0e1ed65b0bbb/41598_2023_31541_Fig2_HTML.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/84a3/10042850/1504f6c20936/41598_2023_31541_Fig3_HTML.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/84a3/10042850/e18a55b74bdc/41598_2023_31541_Fig4_HTML.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/84a3/10042850/28cf6f1422eb/41598_2023_31541_Fig5a_HTML.jpg

相似文献

1
Clinical features and shared mechanisms of chronic gastritis and osteoporosis.慢性胃炎和骨质疏松症的临床特征和共同发病机制。
Sci Rep. 2023 Mar 27;13(1):4991. doi: 10.1038/s41598-023-31541-8.
2
Exploring the relationship between systemic lupus erythematosus and osteoporosis based on bioinformatics.基于生物信息学探讨系统性红斑狼疮与骨质疏松症的关系。
Lupus. 2022 Feb;31(2):163-177. doi: 10.1177/09612033211073909. Epub 2022 Jan 22.
3
Identification of a Potential MiRNA-mRNA Regulatory Network for Osteoporosis by Using Bioinformatics Methods: A Retrospective Study Based on the Gene Expression Omnibus Database.基于基因表达综合数据库的生物信息学方法鉴定骨质疏松症潜在的 miRNA-mRNA 调控网络:一项回顾性研究。
Front Endocrinol (Lausanne). 2022 May 10;13:844218. doi: 10.3389/fendo.2022.844218. eCollection 2022.
4
Prognostic analysis and validation of diagnostic marker genes in patients with osteoporosis.骨质疏松症患者诊断标志物基因的预后分析与验证。
Front Immunol. 2022 Oct 13;13:987937. doi: 10.3389/fimmu.2022.987937. eCollection 2022.
5
Identification of potential biomarkers of gout through competitive endogenous RNA network analysis.通过竞争性内源性RNA网络分析鉴定痛风的潜在生物标志物。
Eur J Pharm Sci. 2022 Jun 1;173:106180. doi: 10.1016/j.ejps.2022.106180. Epub 2022 Apr 1.
6
Machine learning analysis of gene expression profile reveals a novel diagnostic signature for osteoporosis.机器学习分析基因表达谱揭示骨质疏松症的新型诊断特征。
J Orthop Surg Res. 2021 Mar 15;16(1):189. doi: 10.1186/s13018-021-02329-1.
7
Comprehensive transcriptome analysis of mesenchymal stem cells in elderly patients with osteoporosis.老年骨质疏松症患者间充质干细胞的综合转录组分析
Aging Clin Exp Res. 2015 Oct;27(5):595-601. doi: 10.1007/s40520-015-0346-z. Epub 2015 Mar 15.
8
Screening of crosstalk and pyroptosis-related genes linking periodontitis and osteoporosis based on bioinformatics and machine learning.基于生物信息学和机器学习的牙周炎和骨质疏松症相关基因串扰和焦亡的筛选。
Front Immunol. 2022 Aug 5;13:955441. doi: 10.3389/fimmu.2022.955441. eCollection 2022.
9
What do osteoporosis and osteoarthritis have in common? An integrated study of overlapping differentially expressed genes in bone mesenchymal stem cells of osteoporosis and osteoarthritis.骨质疏松症和骨关节炎有什么共同之处?骨质疏松症和骨关节炎骨髓间充质干细胞中重叠差异表达基因的综合研究。
Gene. 2024 Jan 30;893:147914. doi: 10.1016/j.gene.2023.147914. Epub 2023 Oct 20.
10
Integrative Analyses of Genes Associated With Osteoporosis in CD16+ Monocyte.整合分析与 CD16+ 单核细胞中骨质疏松症相关的基因。
Front Endocrinol (Lausanne). 2021 Jan 21;11:581878. doi: 10.3389/fendo.2020.581878. eCollection 2020.

引用本文的文献

1
SNPs in GPCR Genes and Impaired Osteogenic Potency in Osteoporotic Patient Lines-Based Study.基于骨质疏松症患者系研究的G蛋白偶联受体基因单核苷酸多态性与成骨能力受损
Int J Mol Sci. 2024 Dec 19;25(24):13594. doi: 10.3390/ijms252413594.
2
Molecular and Cellular Mechanisms of Osteoporosis.骨质疏松症的分子和细胞机制。
Int J Mol Sci. 2023 Oct 30;24(21):15772. doi: 10.3390/ijms242115772.

本文引用的文献

1
Diagnostic Principles for Chronic Gastritis Associated with Duodenogastric Reflux.十二指肠-胃反流性慢性胃炎的诊断原则
Diagnostics (Basel). 2023 Jan 4;13(2):186. doi: 10.3390/diagnostics13020186.
2
Ferroptosis: A New Regulatory Mechanism in Osteoporosis.铁死亡:骨质疏松症的新调控机制。
Oxid Med Cell Longev. 2022 Jan 17;2022:2634431. doi: 10.1155/2022/2634431. eCollection 2022.
3
Identification and Validation of CYBB, CD86, and C3AR1 as the Key Genes Related to Macrophage Infiltration of Gastric Cancer.CYBB、CD86和C3AR1作为与胃癌巨噬细胞浸润相关关键基因的鉴定与验证
Front Mol Biosci. 2021 Dec 7;8:756085. doi: 10.3389/fmolb.2021.756085. eCollection 2021.
4
The Distinct Impact of TAM Infiltration on the Prognosis of Patients With Cardia and Non-Cardia Gastric Cancer and Its Association With Infection.肿瘤相关巨噬细胞浸润对贲门癌和非贲门癌患者预后的不同影响及其与感染的关系
Front Oncol. 2021 Dec 3;11:737061. doi: 10.3389/fonc.2021.737061. eCollection 2021.
5
A deep-learning framework for multi-level peptide-protein interaction prediction.用于多层次肽-蛋白相互作用预测的深度学习框架。
Nat Commun. 2021 Sep 15;12(1):5465. doi: 10.1038/s41467-021-25772-4.
6
Riboregulation in the Major Gastric Pathogen .主要胃部病原体中的核糖调节
Front Microbiol. 2021 Jul 16;12:712804. doi: 10.3389/fmicb.2021.712804. eCollection 2021.
7
MiR-375 reduces the stemness of gastric cancer cells through triggering ferroptosis.miR-375 通过触发铁死亡来降低胃癌细胞的干性。
Stem Cell Res Ther. 2021 Jun 5;12(1):325. doi: 10.1186/s13287-021-02394-7.
8
Prevalence of and Risk Factors for Community-Based Osteoporosis and Associated Fractures in Beijing: Study Protocol for a Cross-Sectional and Prospective Study.北京社区骨质疏松症及相关骨折的患病率和危险因素:一项横断面和前瞻性研究的研究方案
Front Med (Lausanne). 2020 Dec 9;7:544697. doi: 10.3389/fmed.2020.544697. eCollection 2020.
9
Inflammation-Associated Senescence Promotes Helicobacter pylori-Induced Atrophic Gastritis.炎症相关衰老促进幽门螺杆菌引起的萎缩性胃炎。
Cell Mol Gastroenterol Hepatol. 2021;11(3):857-880. doi: 10.1016/j.jcmgh.2020.10.015. Epub 2020 Nov 5.
10
Editorial: Network Pharmacology and Traditional Medicine.社论:网络药理学与传统医学
Front Pharmacol. 2020 Aug 4;11:1194. doi: 10.3389/fphar.2020.01194. eCollection 2020.