Andrian Titus, Siriteanu Lucian, Voroneanu Luminița, Nicolescu Alina, Deleanu Calin, Covic Andreea, Covic Adrian
Department of Internal Medicine, University of Medicine and Pharmacy "Grigore T. Popa", 700115 Iași, Romania.
Nephrology, Dialysis and Transplantation Clinic, Clinical Hospital "Dr. C. I. Parhon", 700503 Iași, Romania.
J Clin Med. 2024 Oct 8;13(19):5983. doi: 10.3390/jcm13195983.
kidney transplant recipients are exposed to multiple pathogenic pathways that may alter short and long-term allograft survival. Metabolomic profiling is useful for detecting potential biomarkers of kidney disease with a predictive capacity. This field is still under development in kidney transplantation and metabolome analysis is faced with analytical challenges. We performed a cross-sectional study including stable kidney transplant patients and aimed to search for relevant associations between baseline plasmatic and urinary metabolites and relevant outcomes over a follow-up period of 3 years. we performed a cross-sectional study including 72 stable kidney transplant patients with stored plasmatic and urinary samples at the baseline evaluation which were there analyzed by nuclear magnetic resonance in order to quantify and describe metabolites. We performed a 3-year follow-up and searched for relevant associations between renal failure outcomes and baseline metabolites. Between-group comparisons were made after classification by observed estimated glomerular filtration rate slope during the follow-up: positive slope and negative slope. : The mean estimated GFR (glomerular filtration rate) was higher at baseline in the patients who exhibited a negative slope during the follow-up (63.4 mL/min/1.73 m vs. 55.8 mL/min/1.73 m, = 0,019). After log transformation and division by urinary creatinine, urinary dimethylamine (3.63 vs. 3.16, = 0.027), hippuric acid (7.33 vs. 6.29, = 0.041), and acetone (1.88 vs. 1, = 0.023) exhibited higher concentrations in patients with a negative GFR slope when compared to patients with a positive GFR slope. By computing a linear regression, a significant low-strength regression equation between the log 2 transformed plasmatic level of glycine and the estimated glomerular filtration rate was found ( (1,70) = 5.15, = 0.026), with an of 0.069. Several metabolites were correlated positively with hand grip strength (plasmatic tyrosine with r = 0.336 and = 0.005 and plasmatic leucine with r = 0.371 and = 0.002). Other urinary metabolites were found to be correlated negatively with hand grip strength (dimethylamine with r = -0.250 and = 0.04, citric acid with r = -0.296 and = 0.014, formic acid with r = -0.349 and = 0.004, and glycine with r = -0.306 and = 0.01). : some metabolites had different concentrations compared to kidney transplant patients with negative and positive slopes, and significant correlations were found between hand grip strength and urinary and plasmatic metabolites.
肾移植受者会接触到多种致病途径,这些途径可能会改变移植肾的短期和长期存活。代谢组学分析有助于检测具有预测能力的肾脏疾病潜在生物标志物。该领域在肾移植中仍在发展,代谢组分析面临分析挑战。我们进行了一项横断面研究,纳入稳定的肾移植患者,旨在寻找基线血浆和尿液代谢物与3年随访期内相关结局之间的相关关联。我们进行了一项横断面研究,纳入72例稳定的肾移植患者,这些患者在基线评估时留存了血浆和尿液样本,随后通过核磁共振对样本进行分析,以定量和描述代谢物。我们进行了为期3年的随访,并寻找肾衰竭结局与基线代谢物之间的相关关联。根据随访期间观察到的估计肾小球滤过率斜率进行分类后进行组间比较:正斜率和负斜率。:随访期间呈负斜率的患者基线时平均估计肾小球滤过率(GFR)较高(63.4 mL/min/1.73 m² 对55.8 mL/min/1.73 m²,P = 0.019)。经对数转换并除以尿肌酐后,与GFR斜率为正的患者相比,GFR斜率为负的患者尿液中的二甲胺(3.63对3.16,P = 0.027)、马尿酸(7.33对6.29,P = 0.041)和丙酮(1.88对1,P = 0.023)浓度更高。通过计算线性回归,发现甘氨酸的log2转换血浆水平与估计肾小球滤过率之间存在显著的低强度回归方程(β(1,70) = 5.15,P = 0.026),R²为0.069。几种代谢物与握力呈正相关(血浆酪氨酸,r = 0.336,P = 0.002;血浆亮氨酸,r = 0.371,P = 0.002)。其他尿液代谢物与握力呈负相关(二甲胺,r = -0.250,P = 0.04;柠檬酸,r = -0.296,P = 0.014;甲酸,r = -0.349,P = 0.004;甘氨酸,r = -0.306,P = 0.01)。:与斜率为负和正的肾移植患者相比,一些代谢物浓度不同,并且发现握力与尿液和血浆代谢物之间存在显著相关性。