Five‐Aminolevulinic Acid as a Potential Biomarker for Renal Insufficiency After Heart Transplantation
Xiao Huang, Linhua Chen, Li Liu, Ying Zhou, Hong Zhou, Yu Zhang
Union Hospital Huazhong University of Science and Technology
阅读操作
确认中在文库中上传 PDF 后可生成中文音频讲解。
摘要与影响
Renal complications are common following heart transplantation and lead to increased morbidity and mortality. The incidence of renal insufficiency is 10%-40% at 3-7 years after transplantation. This study aims to conduct metabolic profiling of serum samples from heart transplantation recipients to uncover differential metabolites related to renal insufficiency and potential pathogenic mechanisms. A total of 101 heart transplantation recipients were included and categorized into three groups according to their estimated glomerular filtration rate. The demographic and clinical data were collected at the time of sample collection. Plasma samples were collected and analyzed using liquid chromatography-tandem mass spectrometry. The untargeted metabolomics revealed that during the progression of renal injury, 35 metabolites were upregulated and 1 metabolite was downregulated. Among them, the univariate analysis demonstrated that 13 differential metabolites had AUC ≥ 0.80 in both Stage 3 versus Stage 1 and Stage 3 versus Stage 2. Furthermore, enriched pathway analysis revealed that the differential metabolites among the three groups are mainly associated with ascorbate and aldarate metabolism, glycine, serine, and threonine metabolism, protein digestion and absorption, and biosynthesis of amino acids. Our findings indicate a strong association between creatinine and 5-aminolevulinic acid with the occurrence and progression of renal insufficiency following heart transplantation. These results offer valuable insights into the underlying mechanisms contributing to renal dysfunction in heart transplantation recipients from a metabolomics perspective, thereby supporting improved prediction and treatment strategies for renal insufficiency posttransplantation.
逐年被引趋势
关键指标
同类平均 = 1
同领域 · 同年份 · 同类型
Google Scholar 与 OpenAlex 的被引统计范围不同,数值存在差异属正常。
AI 辅助阅读
依据:摘要
可就本文提问;依据不足时会说明。
学术脉络
学科主题
生物医学Renal Transplantation Outcomes and Treatments
Transplantation: Methods and Outcomes · Metabolism and Genetic Disorders
参考文献 42
此处列出前 3 条
引用本文 1
按被引量排序,此处列出前 3 条