The metabolome of human placental tissue: investigation of first trimester tissue and changes related to preeclampsia in late pregnancy

被引:49
作者
Dunn, Warwick B. [1 ,2 ,3 ,4 ,5 ]
Brown, Marie [4 ,5 ]
Worton, Stephanie A. [6 ]
Davies, Kyle [7 ]
Jones, Rebecca L. [6 ]
Kell, Douglas B. [2 ]
Heazell, Alexander E. P. [4 ,5 ,6 ]
机构
[1] Univ Manchester, Manchester Interdisciplinary Bioctr, Manchester Ctr Integrat Syst Biol, Manchester M1 7DN, Lancs, England
[2] Univ Manchester, Manchester Interdisciplinary Bioctr, Sch Chem, Manchester M1 7DN, Lancs, England
[3] Univ Manchester, Manchester Acad Hlth Sci Ctr, Cent Manchester NHS Fdn Trust, CADET, Manchester M13 9WL, Lancs, England
[4] Univ Manchester, Sch Biomed, Manchester M13 9WL, Lancs, England
[5] Manchester NIHR Biomed Res Ctr, Manchester M13 9WL, Lancs, England
[6] Univ Manchester, St Marys Hosp, Maternal & Fetal Hlth Res Ctr, Manchester M13 9WL, Lancs, England
[7] Univ Manchester, Manchester Interdisciplinary Bioctr, Sch Chem Engn & Analyt Sci, Manchester M1 7DN, Lancs, England
基金
英国生物技术与生命科学研究理事会;
关键词
Metabolomics; Mass spectrometry; Placenta; Tissue; Preeclampsia; First trimester; Systems biology; LIQUID-CHROMATOGRAPHY; GAS-CHROMATOGRAPHY; OXIDATIVE STRESS; SYSTEMS BIOLOGY; AMNIOTIC-FLUID; BLOOD-PRESSURE; IN-VITRO; HYPOXIA; PLASMA; SUPPLEMENTATION;
D O I
10.1007/s11306-011-0348-6
中图分类号
R5 [内科学];
学科分类号
1002 ; 100201 ;
摘要
Unique biochemical and physical challenges to both mother and fetus are observed during human pregnancy, and the placenta plays an important role in protecting the fetus and supporting its development. Consequently, many pregnancy complications are associated with altered placental biochemistry and structure. Here we have further developed a combination of analytical tools for determining the tissue metabolome of placental tissue by applying a methanol/water/chloroform extraction method followed by analysis of the polar fraction (methanol/water) using GC-ToF-MS and of the non-polar fraction (chloroform) using UPLC-LTQ-Orbitrap-MS. This combination maximises the number of different metabolites detected and is the first holistic investigation of placental tissue applying UPLC-MS. Placental tissue differs between early and late first trimester pregnancies in that the developing placenta is exposed to significantly different oxygen tensions and undergoes a change from histiotrophic to haemotrophic nutrition. Application of these metabolomic methods detected 156 unique and chemically identified metabolites that showed statistically significant differences (P < 0.05). These included changes in di- and triglycerides, phospholipids, sphingolipids, fatty acids and fatty acid carnitines. This is the first metabolomics study to identify these changes that potentially show the initiation or switch to fatty acid beta-oxidation for mitochondrial ATP production. A separate study showed a small number of changes that were related to the position of sampling of the placental tissue and to the type of delivery from pregnancy. This result indicates that variations associated with sampling position and delivery type are small compared to between-subject variation. However, the authors recommend robust experimental design which may include sampling from the same position of the placenta and from the same delivery type. When comparing tissue from term-uncomplicated pregnancies with those exhibiting preeclampsia at term, 86 unique and chemically identified metabolites showed statistically significant differences (P < 0.05). Potential changes in metabolism operating in the mitochondria, in vitamin D metabolism and in oxidative and nitrative stress were observed. These proof-of-principle studies demonstrate the sensitivity of placental tissue metabolomics to define changes related to alterations in environment and perfusion and related to diseases of pregnancy including preeclampsia. Data are available on request.
引用
收藏
页码:579 / 597
页数:19
相关论文
共 69 条
[1]   High-throughput classification of yeast mutants for functional genomics using metabolic footprinting [J].
Allen, J ;
Davey, HM ;
Broadhurst, D ;
Heald, JK ;
Rowland, JJ ;
Oliver, SG ;
Kell, DB .
NATURE BIOTECHNOLOGY, 2003, 21 (06) :692-696
[2]   Effects of oral L-arginine supplementation on blood pressure and asymmetric dimethylarginine in stress-induced preeclamptic rats [J].
Altun, Zekiye Sultan ;
Uysal, Sezer ;
Guner, Gul ;
Yilmaz, Osman ;
Posaci, Cemal .
CELL BIOCHEMISTRY AND FUNCTION, 2008, 26 (05) :648-653
[3]  
Anderson CM, 2007, JOGNN-J OBST GYN NEO, V36, P3, DOI [10.1111/j.1552-6909.2006.00115.x, 10.1111/J.1552-6909.2006.00115.x]
[4]   Metabolomics of the interaction between PPAR-α and age in the PPAR-α-null mouse [J].
Atherton, Helen J. ;
Gulston, Melanie K. ;
Bailey, Nigel J. ;
Cheng, Kian-Kai ;
Zhang, Wen ;
Clarke, Kieran ;
Griffin, Julian L. .
MOLECULAR SYSTEMS BIOLOGY, 2009, 5
[5]   Development and Performance of a Gas Chromatography-Time-of-Flight Mass Spectrometry Analysis for Large-Scale Nontargeted Metabolomic Studies of Human Serum [J].
Begley, Paul ;
Francis-McIntyre, Sue ;
Dunn, Warwick B. ;
Broadhurst, David I. ;
Halsall, Antony ;
Tseng, Andy ;
Knowles, Joshua ;
Goodacre, Royston ;
Kell, Douglas B. .
ANALYTICAL CHEMISTRY, 2009, 81 (16) :7038-7046
[6]   Predicting human embryo viability: the road to non-invasive analysis of the secretome using metabolic footprinting [J].
Brison, Daniel R. ;
Hollywood, Katherine ;
Arnesen, Ruth ;
Goodacre, Royston .
REPRODUCTIVE BIOMEDICINE ONLINE, 2007, 15 (03) :296-302
[7]   Statistical strategies for avoiding false discoveries in metabolomics and related experiments [J].
Broadhurst, David I. ;
Kell, Douglas B. .
METABOLOMICS, 2006, 2 (04) :171-196
[8]   Mass spectrometry tools and metabolite-specific databases for molecular identification in metabolomics [J].
Brown, M. ;
Dunn, W. B. ;
Dobson, P. ;
Patel, Y. ;
Winder, C. L. ;
Francis-McIntyre, S. ;
Begley, P. ;
Carroll, K. ;
Broadhurst, D. ;
Tseng, A. ;
Swainston, N. ;
Spasic, I. ;
Goodacre, R. ;
Kell, D. B. .
ANALYST, 2009, 134 (07) :1322-1332
[9]   Automated workflows for accurate mass-based putative metabolite identification in LC/MS-derived metabolomic datasets [J].
Brown, Marie ;
Wedge, David C. ;
Goodacre, Royston ;
Kell, Douglas B. ;
Baker, Philip N. ;
Kenny, Louise C. ;
Mamas, Mamas A. ;
Neyses, Ludwig ;
Dunn, Warwick B. .
BIOINFORMATICS, 2011, 27 (08) :1108-1112
[10]   The influence of the intrauterine environment on human placental development [J].
Burton, Graham J. ;
Jauniaux, Eric ;
Charnock-Jones, D. Stephen .
INTERNATIONAL JOURNAL OF DEVELOPMENTAL BIOLOGY, 2010, 54 (2-3) :303-311