Distinct Metabolic Profile of Primary Focal Segmental Glomerulosclerosis Revealed by NMR-Based Metabolomics

被引:38
作者
Hao, Xu [1 ]
Liu, Xia [2 ]
Wang, Weiming [1 ]
Ren, Hong [1 ]
Xie, Jingyuan [1 ]
Shen, Pingyan [1 ]
Lin, Donghai [2 ,3 ]
Chen, Nan [1 ]
机构
[1] Shanghai Jiao Tong Univ, Sch Med, Dept Nephrol, Ruijin Hosp, Shanghai 200030, Peoples R China
[2] Chinese Acad Sci, Shanghai Inst Mat Med, Bimol NMR Lab, Shanghai 200031, Peoples R China
[3] Xiamen Univ, Coll Chem & Chem Engn, Key Lab Chem Biol Fujian Prov, Xiamen, Peoples R China
基金
中国国家自然科学基金;
关键词
RENAL ORGANIC ANION; GLYCINE CONJUGATION; BENZOIC-ACID; OXIDATIVE STRESS; UREMIC TOXINS; RAT-KIDNEY; METABONOMICS; 3-METHYLHISTIDINE; TRANSPORT; URINE;
D O I
10.1371/journal.pone.0078531
中图分类号
O [数理科学和化学]; P [天文学、地球科学]; Q [生物科学]; N [自然科学总论];
学科分类号
07 ; 0710 ; 09 ;
摘要
Background: Primary focal segmental glomerulosclerosis (FSGS) is pathological entity which is characterized by idiopathic steroid-resistant nephrotic syndrome (SRNS) and progression to end-stage renal disease (ESRD) in the majority of affected individuals. Currently, there is no practical noninvasive technique to predict different pathological types of glomerulopathies. In this study, the role of urinary metabolomics in the diagnosis and pathogenesis of FSGS was investigated. Methods: NMR-based metabolomics was applied for the urinary metabolic profile in the patients with FSGS (n = 25), membranous nephropathy (MN, n = 24), minimal change disease (MCD, n = 14) and IgA nephropathy (IgAN, n = 26), and healthy controls (CON, n = 35). The acquired data were analyzed using principal component analysis (PCA) followed by orthogonal projections to latent structure discriminant analysis (OPLS-DA). Model validity was verified using permutation tests. Results: FSGS patients were clearly distinguished from healthy controls and other three types of glomerulopathies with good sensitivity and specificity based on their global urinary metabolic profiles. In FSGS patients, urinary levels of glucose, dimethylamine and trimethylamine increased compared with healthy controls, while pyruvate, valine, hippurate, isoleucine, phenylacetylglycine, citrate, tyrosine, 3-methylhistidine and b-hydroxyisovalerate decreased. Additionally, FSGS patients had lower urine N-methylnicotinamide levels compared with other glomerulopathies. Conclusions: NMR-based metabonomic approach is amenable for the noninvasive diagnosis and differential diagnosis of FSGS as well as other glomerulopathies, and it could indicate the possible mechanisms of primary FSGS.
引用
收藏
页数:10
相关论文
共 42 条
[1]   Metabonomics of acute kidney injury in children after cardiac surgery [J].
Beger, Richard D. ;
Holland, Ricky D. ;
Sun, Jinchun ;
Schnackenberg, Laura K. ;
Moore, Page C. ;
Dent, Catherine L. ;
Devarajan, Prasad ;
Portilla, Didier .
PEDIATRIC NEPHROLOGY, 2008, 23 (06) :977-984
[2]  
Beltowski J, 2006, PHARMACOL REP, V58, P159
[3]   Transport of organic anions across the basolateral membrane of proximal tubule cells [J].
Burckhardt, BC ;
Burckhardt, G .
REVIEWS OF PHYSIOLOGY, BIOCHEMISTRY AND PHARMACOLOGY, VOL 146, 2003, 146 :95-158
[4]   Structure of renal organic anion and cation transporters [J].
Burckhardt, G ;
Wolff, NA .
AMERICAN JOURNAL OF PHYSIOLOGY-RENAL PHYSIOLOGY, 2000, 278 (06) :F853-F866
[5]   OPLS discriminant analysis:: combining the strengths of PLS-DA and SIMCA classification [J].
Bylesjo, Max ;
Rantalainen, Mattias ;
Cloarec, Olivier ;
Nicholson, Jeremy K. ;
Holmes, Elaine ;
Trygg, Johan .
JOURNAL OF CHEMOMETRICS, 2006, 20 (8-10) :341-351
[6]  
Cameron JS, 2003, NEPHROL DIAL TRANSPL, V18, P45, DOI 10.1093/ndt/gfg1058
[7]   Metabolic Signatures of Lung Cancer in Biofluids: NMR-Based Metabonomics of Urine [J].
Carrola, Joana ;
Rocha, Claudia M. ;
Barros, Antonio S. ;
Gil, Ana M. ;
Goodfellow, Brian J. ;
Carreira, Isabel M. ;
Bernardo, Joao ;
Gomes, Ana ;
Sousa, Vitor ;
Carvalho, Lina ;
Duarte, Iola F. .
JOURNAL OF PROTEOME RESEARCH, 2011, 10 (01) :221-230
[8]  
CHATTOPADHYAY D, 1953, J BIOL CHEM, V201, P529
[9]  
CHIBA M, 1994, J PHARMACOL EXP THER, V268, P409
[10]   Urinary Biomarkers of Meat Consumption [J].
Cross, Amanda J. ;
Major, Jacqueline M. ;
Sinha, Rashmi .
CANCER EPIDEMIOLOGY BIOMARKERS & PREVENTION, 2011, 20 (06) :1107-1111