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
[1]   Metabolomic distinction and insights into the pathogenesis of human primary dilated cardiomyopathy [J].
Alexander, Danny ;
Lombardi, Raffaella ;
Rodriguez, Gabriela ;
Mitchell, Matthew M. ;
Marian, Ali J. .
EUROPEAN JOURNAL OF CLINICAL INVESTIGATION, 2011, 41 (05) :527-538
[2]   Integrated Ionization Approach for RRLC-MS/MS-based Metabonomics: Finding Potential Biomarkers for Lung Cancer [J].
An, Zhuoling ;
Chen, Yanhua ;
Zhang, Ruiping ;
Song, Yongmei ;
Sun, Jianghao ;
He, Jiuming ;
Bai, Jinfa ;
Dong, Lijia ;
Zhan, Qimin ;
Abliz, Zeper .
JOURNAL OF PROTEOME RESEARCH, 2010, 9 (08) :4071-4081
[3]   Early Detection of Recurrent Breast Cancer Using Metabolite Profiling [J].
Asiago, Vincent M. ;
Alvarado, Leiddy Z. ;
Shanaiah, Narasimhamurthy ;
Gowda, G. A. Nagana ;
Owusu-Sarfo, Kwadwo ;
Ballas, Robert A. ;
Raftery, Daniel .
CANCER RESEARCH, 2010, 70 (21) :8309-8318
[4]   Nuclear magnetic resonance-based metabolomics predicts exercise-induced ischemia in patients with suspected coronary artery disease [J].
Barba, Ignasi ;
de Leon, Gustavo ;
Martin, Eva ;
Cuevas, Antonio ;
Aguade, Santiago ;
Candell-Riera, Jaume ;
Barrabes, Jose A. ;
Garcia-Dorado, David .
MAGNETIC RESONANCE IN MEDICINE, 2008, 60 (01) :27-32
[5]   Metabolomic Profiling for Identification of Novel Potential Biomarkers in Cardiovascular Diseases [J].
Barderas, Maria G. ;
Laborde, Carlos M. ;
Posada, Maria ;
de la Cuesta, Fernando ;
Zubiri, Irene ;
Vivanco, Fernando ;
Alvarez-Llamas, Gloria .
JOURNAL OF BIOMEDICINE AND BIOTECHNOLOGY, 2011,
[6]   Nutritional Genomics, Polyphenols, Diets, and Their Impact on Dietetics [J].
Barnes, Stephen .
JOURNAL OF THE AMERICAN DIETETIC ASSOCIATION, 2008, 108 (11) :1888-1895
[7]   Feasibility of Identifying Pancreatic Cancer Based on Serum Metabolomics [J].
Bathe, Oliver F. ;
Shaykhutdinov, Rustem ;
Kopciuk, Karen ;
Weljie, Aalim M. ;
Mckay, Andrew ;
Sutherland, Francis R. ;
Dixon, Elijah ;
Dunse, Nicole ;
Sotiropoulos, Dina ;
Vogel, Hans J. .
CANCER EPIDEMIOLOGY BIOMARKERS & PREVENTION, 2011, 20 (01) :140-147
[8]   Metabonomic models of human pancreatic cancer using 1D proton NMR spectra of lipids in plasma [J].
Beger, Richard D. ;
Schnackenberg, Laura K. ;
Holland, Ricky D. ;
Li, Donghui ;
Dragan, Yvonne .
METABOLOMICS, 2006, 2 (03) :125-134
[9]   Are Patients with Potential Celiac Disease Really Potential? The Answer of Metabonomics [J].
Bernini, Patrizia ;
Bertini, Ivano ;
Calabro, Antonio ;
la Marca, Giancarlo ;
Lami, Gabriele ;
Luchinat, Claudio ;
Renzi, Daniela ;
Tenori, Leonardo .
JOURNAL OF PROTEOME RESEARCH, 2011, 10 (02) :714-721
[10]   The Metabonomic Signature of Celiac Disease [J].
Bertini, Ivano ;
Calalbro, Antonio ;
De Carli, Valeria ;
Luchinat, Claudio ;
Nepi, Stefano ;
Porfirio, Berardino ;
Renzi, Daniela ;
Saccenti, Edoardo ;
Tenori, Leonardo .
JOURNAL OF PROTEOME RESEARCH, 2009, 8 (01) :170-177