Guleria Anupam, Bajpai Nitin Kumar, Rawat Atul, Khetrapal C L, Prasad Narayan, Kumar Dinesh
Centre of Biomedical Research, Lucknow, Uttar Pradesh, India.
Magn Reson Chem. 2014 Sep;52(9):475-9. doi: 10.1002/mrc.4094. Epub 2014 Jun 10.
Metabolite analysis of peritoneal dialysis (PD) effluent may provide information regarding onset and progression of complications associated with prolonged PD therapy. In this context, the nuclear magnetic resonance detectable small metabolites of PD effluent samples were characterised using high-resolution (1) H and (1) H-(13) C NMR spectroscopy. The various spectra were recorded (at 800 MHz proton frequency) on PD effluent samples obtained after 4-h (intraperitoneal) dwell time from patients with end-stage renal failure and continuing normally on PD therapy. In spite of devastating spectral feature of PD effluent due to the presence of intense resonances from glucose and lactate, we were able to identify 53 small endogenous metabolites (including many complex coupled spin systems) and more than 90% of the total CH cross peaks of (1) H-(13) C heteronuclear single-quantum correlation spectrum specific to various metabolites of PD effluent. We foresee that the characteristic fingerprints of various metabolites of control PD effluent samples will be used to identify and distinguish metabolic differences from PD-related complications.
腹膜透析（PD）流出液的代谢物分析可为与长期PD治疗相关的并发症的发生和进展提供信息。在此背景下，使用高分辨率¹H和¹H-¹³C核磁共振波谱对PD流出液样本中可通过核磁共振检测的小分子代谢物进行了表征。在800 MHz质子频率下，对终末期肾衰竭患者在4小时（腹膜内）驻留时间后获得的、并继续正常接受PD治疗的PD流出液样本记录了各种光谱。尽管由于葡萄糖和乳酸的强烈共振使得PD流出液具有破坏性的光谱特征，但我们仍能够鉴定出53种内源性小分子代谢物（包括许多复杂的耦合自旋系统）以及PD流出液各种代谢物特有的¹H-¹³C异核单量子相关谱中超过90%的总CH交叉峰。我们预计，对照PD流出液样本中各种代谢物的特征指纹将用于识别和区分与PD相关并发症的代谢差异。
