Hirakawa Keiko, Koike Kaoru, Uekusa Kyoko, Nihira Makoto, Yuta Kohtaro, Ohno Youkichi
Department of Legal Medicine and NMR Laboratory, Nippon Medical School, 1-1-5 Sendagi, Bunkyo-ku, Tokyo 113-8602, Japan.
Leg Med (Tokyo). 2009 Apr;11 Suppl 1:S282-5. doi: 10.1016/j.legalmed.2009.02.007. Epub 2009 Apr 5.
Nuclear magnetic resonance (NMR) spectroscopy has recently been applied to metabolic studies. In particular, metabolic profiles of tissues or of the whole body can easily be acquired through multivariate analysis of NMR spectra. The present study investigates metabolic changes after death in rat femoral muscles using pattern recognition of proton NMR spectra. Rats were killed by suffocation, cocaine overdose and induced respiratory failure, and then low molecular weight metabolites extracted using perchlorate from excised tissues were measured using proton NMR. All spectral data were processed and assessed by multivariate analysis to obtain metabolic profiles of the tissues. The results of principal component analysis (PCA) score plots soon after death showed that the metabolic profiles of the tissues differed according to the mode of death. The principal component (PC) scores of the data varied hourly and correlated with postmortem interval. The present results showed that NMR-based metabolic profiling could provide useful information with which to estimate postmortem intervals and causes of death.
核磁共振（NMR）光谱法最近已应用于代谢研究。特别是，通过对NMR光谱进行多变量分析，可以轻松获取组织或全身的代谢谱。本研究利用质子NMR光谱的模式识别，研究大鼠股四头肌死后的代谢变化。通过窒息、可卡因过量和诱导呼吸衰竭处死大鼠，然后使用高氯酸盐从切除的组织中提取低分子量代谢物，并使用质子NMR进行测量。对所有光谱数据进行多变量分析处理和评估，以获得组织的代谢谱。死后不久的主成分分析（PCA）得分图结果表明，组织的代谢谱因死亡方式而异。数据的主成分（PC）得分随时间变化，并与死后间隔相关。目前的结果表明，基于NMR的代谢谱分析可以提供有用的信息，用于估计死后间隔和死亡原因。
