배경/목적: 췌장암은 일반적으로 불량한 예후를 보이며, 조기 진단이 어렵다는 점이 이에 영향을 미칠 것으로 생각되고 있다. 본 연구는 한국인 췌장암 환자에 있어서 혈장내 대사체 분석을 시행하여 건강 자원자의 대사체 프로파일과 비교 하였다. 방법: 각 10명으로 비한국인들을 대상으로 이루어진 기존 연구에 비하여 대상자 수가 매우 적지만 검진으로 시행한 복부 CT상 췌장 질환의 증거가 없는 건강한 자원자를 모집하였으며, 이는 췌장암의 조기 진단이 어렵다는 점을 감안할 때 기존 연구에 비한 장점이 될 수 있겠다. 결과: 혈장내 대사체 비교 분석상 췌장암 환자에서 L -lysine의 혈장 농도는 1.36배 높고 L -leucine은 0.63배, palmitic acid는 0.93배 낮은 것으로 나타나 이 세 가지의 대사체 프로파일의 조합이 건강자원자와 췌장암 환자를 가장 잘 구분해 주는 것으로 나타났다. 결론: 앞으로 췌장암의 조기 진단 혹은 발생 역학의 규명을 위하여 대사체 분석에 대한 연구가 더 필요하겠다.

Wheat-rye translocation lines were developed to produce a main crop resistant to biological and physical stress. 'Chaupon' rye contains 2RL chromatin to harbor resistance genes for powdery mildew and leaf rust. In order to identify chromosome 2RL-derived rye proteins and 2RL-perturbed proteins in wheat-rye translocation lines, the gel-based proteomics was employed with 'Coker797' (non-2RL), 'Hamlet' (2RL) and 'near-isogenic line' (stabilized 2RL). The leaf proteome was resolved on 2D-gel, resulting in 216 spots in a final selection. A total of 90 proteins were identified with the identification success rate of 42%. The identified proteins were classified by functional annotation: metabolism (64%), cellular process (5%), translation (2%), regulatory function (1%) and hypothetical (28%). The proteins belonged to metabolism were subdivided into carbohydrate metabolism (36%), energy metabolism (35%), metabolism of lipid, amino acid, other amino acid and biosynthesis of secondary metabolites (each 6%) and others (5%). A total of 53 proteins were differentially expressed, in which β-glucosidase, in particular, originated from the chromosome 2RL of rye, was exclusively appeared in NIL. In addition, small Ras-related GTP binding-protein assigned to wheat was predominantly found in 2RL rye chromatin-possessing NIL. These results suggest that the acquired genetic traits obtained from rye 2RL enhance the resistance to biotic and abiotic stress in wheat-rye translocation lines by altered the proteome expression. In leaf metabolome analysis, 11 predominant metabolites containing trans-aconitate, glutamate, and betaine were identified by 1H-NMR-based metabolite fingerprinting. The overall metabolites pattern of NIH appears to be closer to Coker797 rather than Hamlet. Thus, the metabolic phenotype of NIL was not so much lineated from Hamlet contrast to proteomic phenotyping.