Gough Katelyn L, Dando Samantha J, Teasdale Stephanie L, Feigl Beatrix, Huygens Flavia, Pelzer Elise S
School of Biomedical Sciences, Faculty of Health, Queensland University of Technology, Brisbane, QLD, Australia.
Centre for Immunology and Infection Control, Queensland University of Technology, Brisbane, QLD, Australia.
Front Endocrinol (Lausanne). 2025 May 21;16:1559638. doi: 10.3389/fendo.2025.1559638. eCollection 2025.
As the global prevalence of diabetes mellitus reaches epidemic proportions, research into new therapeutic targets that address the underlying pathomechanisms of the disease is essential. Recent studies have elucidated the fundamental role of intestinal metabolic pathways in human health and disease processes and yet, the underlying cause of metabolic dysregulation in diabetes is largely unknown. Therefore, this systematic review aimed to identify the intestinal metabolomic profiles associated with gestational diabetes mellitus, type 1 diabetes mellitus, pre-diabetes mellitus, and type 2 diabetes mellitus.
A systematic review of databases and grey literature repositories identified primary literature published between 2005 and 2022, that investigated patterns of human- and microbial-derived metabolite concentration in individuals with diabetes.
Data extracted from thirty-four eligible studies revealed 272 metabolites that were associated with diabetes diseases; the majority correlated with incidence of type 2 diabetes mellitus only. Inter-study discrepancies were reported based on the biospecimen type used in metabolomic analyses, namely blood, stool, or urine.
The results of this review emphasise the paucity of research investigating gestational and type 1 diabetes mellitus intestinal metabolic perturbations. Furthermore, the potential for inter-study bias in downstream metabolomic analyses based on sample type warrants further investigation.
随着全球糖尿病患病率达到流行程度,研究针对该疾病潜在发病机制的新治疗靶点至关重要。最近的研究阐明了肠道代谢途径在人类健康和疾病过程中的基本作用,然而,糖尿病代谢失调的根本原因在很大程度上仍不清楚。因此,本系统综述旨在确定与妊娠期糖尿病、1型糖尿病、糖尿病前期和2型糖尿病相关的肠道代谢组学特征。
对数据库和灰色文献库进行系统综述,以确定2005年至2022年间发表的关于调查糖尿病患者体内人和微生物衍生代谢物浓度模式的原始文献。
从34项符合条件的研究中提取的数据显示,有272种代谢物与糖尿病疾病相关;大多数仅与2型糖尿病的发病率相关。基于代谢组学分析中使用的生物样本类型(即血液、粪便或尿液)报告了研究间的差异。
本综述结果强调了对妊娠期和1型糖尿病肠道代谢紊乱研究的匮乏。此外,基于样本类型的下游代谢组学分析中存在研究间偏差的可能性值得进一步研究。