Exploration of autophagy-associated genes and potential molecular mechanisms in type 1 diabetes and osteoporosis.

IF 3.9 2区 综合性期刊 Q1 MULTIDISCIPLINARY SCIENCES
Houyuan Wang, JiaCong Xiao, Caixia Fu, JIzhi Ma, Ziwei Jiang
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引用次数: 0

Abstract

The co-occurrence of osteoporosis (OP) and type 1 diabetes mellitus (T1DM) represents a clinically significant comorbidity pattern, characterized by skeletal fragility and insulin deficiency. While epidemiological links exist, their shared molecular mechanisms remain undefined. This study investigates autophagy-a critical cellular degradation pathway-as a potential mechanistic bridge between OP and T1DM pathogenesis. We integrated multi-omics approaches using GEO datasets to identify autophagy- associated hub genes. Machine learning (LASSO/Random Forest) prioritized CPNE1 and FRAT2, validated through ROC curve analysis. Functional annotation via GO/KEGG enrichment analyses revealed enrichment in disease-associated pathways, corroborated by immune infiltration profiling and single-cell RNA sequencing showing cell-type-specific expression patterns. miRNA-gene regulatory networks further elucidated post-transcriptional control mechanisms. Our integrated analyses suggest that CPNE1 and FRAT2 may represent novel targets for combined diagnosis and therapy in OP and T1DM, where autophagic dysregulation could contribute to comorbid pathogenesis. These insights offer fresh perspectives for developing dual-disease management approaches.

1型糖尿病和骨质疏松症中自噬相关基因及其潜在分子机制的探索。
骨质疏松症(OP)和1型糖尿病(T1DM)的共存代表了一种临床显著的合并症模式,其特征是骨骼脆弱和胰岛素缺乏。虽然存在流行病学联系,但它们共有的分子机制仍不明确。本研究探讨了自噬-一种关键的细胞降解途径-作为OP和T1DM发病机制之间的潜在机制桥梁。我们使用GEO数据集整合了多组学方法来识别自噬相关的中心基因。机器学习(LASSO/Random Forest)优先考虑CPNE1和FRAT2,通过ROC曲线分析验证。通过GO/KEGG富集分析的功能注释揭示了疾病相关途径的富集,免疫浸润谱和单细胞RNA测序证实了细胞类型特异性表达模式。mirna -基因调控网络进一步阐明了转录后调控机制。我们的综合分析表明,CPNE1和FRAT2可能是OP和T1DM联合诊断和治疗的新靶点,其中自噬失调可能导致合并症发病机制。这些见解为开发双病管理方法提供了新的视角。
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来源期刊
Scientific Reports
Scientific Reports Natural Science Disciplines-
CiteScore
7.50
自引率
4.30%
发文量
19567
审稿时长
3.9 months
期刊介绍: We publish original research from all areas of the natural sciences, psychology, medicine and engineering. You can learn more about what we publish by browsing our specific scientific subject areas below or explore Scientific Reports by browsing all articles and collections. Scientific Reports has a 2-year impact factor: 4.380 (2021), and is the 6th most-cited journal in the world, with more than 540,000 citations in 2020 (Clarivate Analytics, 2021). •Engineering Engineering covers all aspects of engineering, technology, and applied science. It plays a crucial role in the development of technologies to address some of the world''s biggest challenges, helping to save lives and improve the way we live. •Physical sciences Physical sciences are those academic disciplines that aim to uncover the underlying laws of nature — often written in the language of mathematics. It is a collective term for areas of study including astronomy, chemistry, materials science and physics. •Earth and environmental sciences Earth and environmental sciences cover all aspects of Earth and planetary science and broadly encompass solid Earth processes, surface and atmospheric dynamics, Earth system history, climate and climate change, marine and freshwater systems, and ecology. It also considers the interactions between humans and these systems. •Biological sciences Biological sciences encompass all the divisions of natural sciences examining various aspects of vital processes. The concept includes anatomy, physiology, cell biology, biochemistry and biophysics, and covers all organisms from microorganisms, animals to plants. •Health sciences The health sciences study health, disease and healthcare. This field of study aims to develop knowledge, interventions and technology for use in healthcare to improve the treatment of patients.
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