Metabolomics and the Diagnosis of Human Diseases - A Guide to the Markers and Pathophysiological Pathways Affected

被引:52
作者
Medina, S. [1 ]
Dominguez-Perles, R. [1 ]
Gil, J. I. [2 ]
Ferreres, F. [1 ]
Gil-Izquierdo, A. [1 ]
机构
[1] CEBAS CSIC, Dept Food Sci & Technol, Espinardo 30100, Murcia, Spain
[2] Hosp Jose Maria Morales Meseguer, Mammary Pathol Dept, Serv Radiodiagnost, Murcia, Spain
关键词
Bone; cancer; cardiovascular disease; celiac disease; Crohn's disease; depression; diabetes; inborn errors of metabolism; metabolomics; neurological disease; MAGNETIC-RESONANCE-SPECTROSCOPY; VOLATILE ORGANIC-COMPOUNDS; CORONARY-ARTERY-DISEASE; CEREBROSPINAL-FLUID; PROSTATE-CANCER; BREAST-CANCER; LUNG-CANCER; SERUM METABOLOMICS; AMINO-ACID; HEPATOCELLULAR-CARCINOMA;
D O I
10.2174/0929867320666131119124056
中图分类号
Q5 [生物化学]; Q7 [分子生物学];
学科分类号
071010 ; 081704 ;
摘要
This review was designed as a handbook of metabolomic markers of high significance for a wide range of human diseases. This is the first report to collate results from recent studies in a format that allows ready identification of key metabolites by cross-comparisons of results from one disease to another. All the data presented in this work were obtained by previous research carried out exclusively during clinical trials in humans. Also, discussion of the pathophysiological pathways linked to the markers described is provided. The clinical assays focused on non-targeted or targeted metabolomics and metabolite profiling (focused assays which only refer to a limited array of known biomarkers, applying discriminatory and bioinformatic tools to them) as well as predictive modelling based on clinical trials. The data also highlight pathways and biological compounds that are disrupted at early stages of the diseases, in order to help elucidate target compounds and the pathophysiology of the considered diseases for early prognosis and diagnosis using noninvasive samples (saliva, sputum, serum, plasma, blood, urine, tissue, faecal water or faeces). In the tables, the candidate metabolites for biomarkers of diagnosis, or the biomarkers themselves, are detailed, indicating the type of sample in which they were detected and their up-or down-regulation (if calculated). The metabolites derived from each study have been filtered carefully, according to the analytical platform, and biostatistical discriminant analyses developed. Among the pool of data provided, those reaching a level of significance of p=0.05-0.0001, according to the Bonferroni correction, Steel-Dwass t- or Wilcoxon matched pair tests, are shown.
引用
收藏
页码:823 / 848
页数:26
相关论文
共 144 条
[31]   Metabonomic profiling of renal cell carcinoma: High-resolution proton nuclear magnetic resonance spectroscopy of human serum with multivariate data analysis [J].
Gao, Hongchang ;
Dong, Baijun ;
Liu, Xia ;
Xuan, Hanqing ;
Huang, Yiran ;
Lin, Donghai .
ANALYTICA CHIMICA ACTA, 2008, 624 (02) :269-277
[32]   Application of 1H NMR-based metabonomics in the study of metabolic profiling of human hepatocellular carcinoma and liver cirrhosis [J].
Gao, Hongchang ;
Lu, Qiang ;
Liu, Xia ;
Cong, Hui ;
Zhao, Liangcai ;
Wang, Huimin ;
Lin, Donghai .
CANCER SCIENCE, 2009, 100 (04) :782-785
[33]   Diagnosis of Early Stage Ovarian Cancer by 1H NMR Metabonomics of Serum Explored by Use of a Microflow NMR Probe [J].
Garcia, Erwin ;
Andrews, Chris ;
Hua, Jia ;
Kim, Hyung L. ;
Sukumaran, Dinesh K. ;
Szyperski, Thomas ;
Odunsi, Kunle .
JOURNAL OF PROTEOME RESEARCH, 2011, 10 (04) :1765-1771
[34]   Advances in Nutrigenomics research: Novel and future analytical approaches to investigate the biological activity of natural compounds and food functions [J].
Garcia-Canas, V. ;
Simo, C. ;
Leon, C. ;
Cifuentes, A. .
JOURNAL OF PHARMACEUTICAL AND BIOMEDICAL ANALYSIS, 2010, 51 (02) :290-304
[35]   Metabolomics and Atherosclerosis [J].
Goonewardena, Sascha N. ;
Prevette, Lisa E. ;
Desai, Ankit A. .
CURRENT ATHEROSCLEROSIS REPORTS, 2010, 12 (04) :267-272
[36]   A proposed metabolic strategy for monitoring disease progression in Alzheimer's disease [J].
Greenberg, Nicola ;
Grassano, Antonio ;
Thambisetty, Madhav ;
Lovestone, Simon ;
Legido-Quigley, Cristina .
ELECTROPHORESIS, 2009, 30 (07) :1235-1239
[37]   Quantitative Metabolome Profiling of Colon and Stomach Cancer Microenvironment by Capillary Electrophoresis Time-of-Flight Mass Spectrometry [J].
Hirayama, Akiyoshi ;
Kami, Kenjiro ;
Sugimoto, Masahiro ;
Sugawara, Maki ;
Toki, Naoko ;
Onozuka, Hiroko ;
Kinoshita, Taira ;
Saito, Norio ;
Ochiai, Atsushi ;
Tomita, Masaru ;
Esumi, Hiroyasu ;
Soga, Tomoyoshi .
CANCER RESEARCH, 2009, 69 (11) :4918-4925
[38]   Human metabolic phenotype diversity and its association with diet and blood pressure [J].
Holmes, Elaine ;
Loo, Ruey Leng ;
Stamler, Jeremiah ;
Bictash, Magda ;
Yap, Ivan K. S. ;
Chan, Queenie ;
Ebbels, Tim ;
De Iorio, Maria ;
Brown, Ian J. ;
Veselkov, Kirill A. ;
Daviglus, Martha L. ;
Kesteloot, Hugo ;
Ueshima, Hirotsugu ;
Zhao, Liancheng ;
Nicholson, Jeremy K. ;
Elliott, Paul .
NATURE, 2008, 453 (7193) :396-U50
[39]   Can metabolomics in addition to genomics add to prognostic and predictive information in breast cancer? [J].
Howell, Anthony .
BMC MEDICINE, 2010, 8
[40]  
Huang Z, 2011, MOL CELL PROTEOMICS, V10, P1