Integrative analysis of serum microorganisms and serum metabolomics in osteoporosis patients based on 16S rDNA sequencing and UHPLC/MS-based metabolomics.

IF 3.1 3区 医学 Q1 MEDICINE, GENERAL & INTERNAL
Frontiers in Medicine Pub Date : 2025-09-24 eCollection Date: 2025-01-01 DOI:10.3389/fmed.2025.1664359
Yu Liu, Yun Li, Jiehua Li
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引用次数: 0

Abstract

Introduction: Although significant progress has been made in the treatment and research of osteoporosis patients in recent years, the genetic mechanism of osteoporosis has not yet been fully elucidated.

Methods: We conducted a comprehensive analysis using 16S sequencing and UHPLC-MS/MS metabolomics data to characterize the microbial composition and metabolic composition in the serum of osteoporosis patients.

Results: At the phylum level, Proteobacteria are mainly present in Osteoporosis; In Normal, it is mainly Bacteroidota. At the genus level, Cupriavidus is the main species in Osteoporosis; In Normal, the main ones are Blautia, Bacteroides, Alcaligenes and Pseudomonas. Serum metabolomics revealed different metabolites (230 significantly differentially expressed metabolites) and lipid metabolism pathways (such as Glycerophospholipid metabolism) among the two groups. The combined serum microbiota and serum metabolomics datasets demonstrate a correlation reflecting the impact of microbiota on metabolic activity (p < 0.05).

Discussion: Our research findings indicate that microbiota and metabolomics analysis provide important candidate biomarkers. The correlation between these serum microbiota and host metabolism is of great significance for optimizing early diagnosis and developing personalized treatment strategies. This study elucidates the relationship between serum microbiota and metabolites in osteoporosis.

基于16S rDNA测序和UHPLC/ ms代谢组学的骨质疏松症患者血清微生物和血清代谢组学综合分析
导读:尽管近年来在骨质疏松症患者的治疗和研究方面取得了重大进展,但骨质疏松症的遗传机制尚未完全阐明。方法:利用16S测序和UHPLC-MS/MS代谢组学数据进行综合分析,表征骨质疏松患者血清中的微生物组成和代谢组成。结果:在门水平上,骨质疏松症以变形菌门为主;在正常情况下,主要是拟杆菌。在属水平上,Cupriavidus是骨质疏松症的主要种;在正常情况下,主要有蓝杆菌属、拟杆菌属、碱性菌属和假单胞菌属。血清代谢组学显示,两组小鼠代谢产物(230种显著差异表达的代谢物)和脂质代谢途径(如甘油磷脂代谢)存在差异。联合血清微生物群和血清代谢组学数据集显示了反映微生物群对代谢活性影响的相关性(p )。讨论:我们的研究结果表明,微生物群和代谢组学分析提供了重要的候选生物标志物。这些血清微生物群与宿主代谢的相关性对优化早期诊断和制定个性化治疗策略具有重要意义。本研究阐明了骨质疏松症患者血清微生物群与代谢物的关系。
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来源期刊
Frontiers in Medicine
Frontiers in Medicine Medicine-General Medicine
CiteScore
5.10
自引率
5.10%
发文量
3710
审稿时长
12 weeks
期刊介绍: Frontiers in Medicine publishes rigorously peer-reviewed research linking basic research to clinical practice and patient care, as well as translating scientific advances into new therapies and diagnostic tools. Led by an outstanding Editorial Board of international experts, this multidisciplinary open-access journal is at the forefront of disseminating and communicating scientific knowledge and impactful discoveries to researchers, academics, clinicians and the public worldwide. In addition to papers that provide a link between basic research and clinical practice, a particular emphasis is given to studies that are directly relevant to patient care. In this spirit, the journal publishes the latest research results and medical knowledge that facilitate the translation of scientific advances into new therapies or diagnostic tools. The full listing of the Specialty Sections represented by Frontiers in Medicine is as listed below. As well as the established medical disciplines, Frontiers in Medicine is launching new sections that together will facilitate - the use of patient-reported outcomes under real world conditions - the exploitation of big data and the use of novel information and communication tools in the assessment of new medicines - the scientific bases for guidelines and decisions from regulatory authorities - access to medicinal products and medical devices worldwide - addressing the grand health challenges around the world
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