The Use of New Technologies in the Study of Pregnancy Disorders: The OMICS Approach
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Abstract
The “omics” technologies represent a new model of approach in the study of human disease. Metabolomics is defined as the quantitative measurement of the dynamic metabolic response of living systems to genetic, physical, pathological or developmental factors. Proteomics analysis of biological samples has the potential to identify novel protein expression patterns and/or changes in protein expression patterns in different developmental or disease states. In this manuscript we present the omics technologies applicated in obstetrics. The management of different pregnancy diseases could be improved by knowing their metabolic background. In this review we focused our attention on omics application for intrauterine growth restriction (IUGR), preterm birth and preeclampsia. Omics in IUGR field could help to discover novel biomarkers for early diagnosis, the molecular link between nutrient deprivation in utero and the increase in risk of developing cardiovascular illness and metabolic syndrome in adults. It could identify one or more therapeutic targets that allow to minimize the organ damage. Recently, the use of metabolomics permitted to discover significant differences in 70 proteins within the trophoblastic cells of women with pre-eclampsia when compared with healthy control women. Recently were identified proteins in cervical–vaginal fluid that could be useful to predict preterm labor in asymptomatic women: thioredoxin and interleukin-1 receptor antagonist. In conclusion, this approach can lead to new hypothesis-based medicine and provide a ‘‘shortcut’’ to obtain new biological insight.
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Banks R, Selby P (2003) Clinical proteomics--insights into pathologies and benefits for patients. Lancet 362: 415–416. Link: https://goo.gl/5kf1br
Nicholson JK, Lindon JC, Holmes E (1999) “Metabonomics”: understanding the metabolic responses of living systems to pathophysiological stimuli via multivariate statistical analysis of biological NMR spectroscopic data. Xenobiotica 29:1181–1189. Link: https://goo.gl/Im7R3G
Robinson JM, Vandre DD, Ackerman WE (2009) Placental Proteomics: A Shortcut to Biological Insight. Placenta 23: 83–89. Link: https://goo.gl/MahbxW
Abu-Issa R, Kirby ML (2004) Take heart in the age of “Omics”. Circ Res 95: 335-336. Link: https://goo.gl/RJD36y
Edlow AG, Slonim DK, Wick HC, Hui L, Bianchi DW (2015) The pathway not taken: understanding 'omics data in the perinatal context. Am J Obstet Gynecol 213: 59.e1-172. Link: https://goo.gl/WwhL03
Ornaghi S, Mueller M, Barnea ER, Paidas MJ (2015) Thrombosis during pregnancy: risks, prevention, and treatment for mother and fetus - harvesting the power of omic technology, biomarkers and in vitro or in vivo models to facilitate the treatment of thrombosis. Birth Defects Res C Embryo Today 105: 209-225. Link: https://goo.gl/OPUm2Y
Gongora MC, Wenger NK (2015) Cardiovascular Complications of Pregnancy. Int J Mol Sci 16: 23905-23928. Link: https://goo.gl/A5UbOi
Davis EF, Newton L, Lewandowski AJ, Lazdam M, Kelly BA, et al. (2012) Preeclampsia and offspring cardiovascular health: mechanistic insights from experimental studies. Clin Sci (Lond) 123: 53-72. Link: https://goo.gl/oietrT
Wang ML, Dorer DJ, Fleming MP, Catlin EA (2004) Clinical outcomes of near-term infants. Pediatrics 114: 372-376. Link: https://goo.gl/2eeOHg
Wallace ME, Mendola P, Kim SS, Epps N, Chen Z, et al. (2016) Racial/ethnic differences in Preterm Perinatal Outcomes. Am J Obstet Gynecol In Press, Uncorrected Proof Link: https://goo.gl/3KNuLY
DeFranco E, Teramo K, Muglia L (2007) Genetic influences on preterm birth. Semin Reprod Med 25: 40-51. Link: https://goo.gl/KGnVlu
Romero R, Espinoza J, Gotsch F, Kusanovic JP, Friel LA, et al. (2006) The use of high-dimensional biology (genomics, transcriptomics, proteomics, and metabolomics) to understand the preterm parturition syndrome. BJOG 113 Suppl 3: 118-35. Link: https://goo.gl/PNBc6c
Romero R, Grivel JC, Tarca AL, Chaemsaithong P, Xu Z, et al. (2015) Evidence of Perturbations of the Cytokine Network in Preterm Labor. American journal of obstetrics and gynecology 213: 836.e1-836.e18. Link: https://goo.gl/mfq8Yi
Joshi MS, Montgomery KA, Giannone PJ, Bauer JA, Hanna MH (2017) Renal injury in neonates: use of "omics" for developing precision medicine in neonatology. Pediatr Res. 81: 271-276. Link: https://goo.gl/xrfmJk
Liong S, Di Quinzio MK, Fleming G, Permezel M, Rice GE, et al. (2013) Prediction of spontaneous preterm labour in at-risk pregnant women. Reproduction 146: 335–345. Link: https://goo.gl/OVz62I
Nápoles MD (2013) Some proteomic markers in perinatal medicine. Rev Cubana Obstet Ginecol. 39: 209–222. Link: https://goo.gl/dsoH8d
Committee on Practice Bulletins Gynecology, American College of Obstetricians and Gynecologists (2001) Intrauterine growth restriction. Clinical management guidelines for obstetrician-gynecologists. ACOG Int J Gynaecol Obstet 72: 85-96. Link: https://goo.gl/nV217y
Mandruzzato G, Antsaklis A, Botet F, Chervenak FA, Figueras F et al. (2008) Intrauterine restriction (IUGR) J Perinat Med. 36: 277–281. Link: https://goo.gl/jByZFH
Baschat AA, Viscardi RM, Hussey-Gardner B, Hashmi N, Harman C (2009) Infant neurodevelopment following fetal growth restriction: relationship with antepartum surveillance parameters. Ultrasound Obstet Gynecol. 33: 44–50. Link: https://goo.gl/gHlgan
Cecconi D, Lonardoni F, Favretto D, Cosmi E, Tucci M et al. (2011) Changes in amniotic fluid and umbilical cord serum proteomic profiles of foetuses with intrauterine growth retardation. Electrophoresis 32: 3630–3637. Link: https://goo.gl/1JLThh
Favretto D, Cosmi E, Ragazzi E, Visentin S, Tucci M et al. (2012) Cord blood metabolomic profiling in intrauterine growth restriction. Anal Bioanal Chem 402: 1109–1121. Link: https://goo.gl/pVa5GU
Paolini CL, Marconi AM, Ronzoni S, Di Noio M, Fennessey PV et al. (2001) Placental transport of leucine, phenylalanine, glycine, and proline in intrauterine growth-restricted pregnancies. J Clin Endocrinol Metab 86: 5427–5432. Link: https://goo.gl/AngXPo
Hernandez RJ, Manjarrez GG, Chagoya G (1989) Newborn humans and rats malnourished in utero: free plasma L-tryptophan, neutral amino acid and brain serotonin synthesis. Brain Res 488:1–13. Link: https://goo.gl/wFdoP7
Muhlhusler BS, Hancock SN, Bloomflied FH, Harding R (2011) Are twins growth restricted? Pediatric Research 70: 117–122. Link: https://goo.gl/oiqGNp
Cosmi E, Visentin S, Fanelli T, Mautone AJ et al (2009) Aortic intima media thickness in intrauterine growth restricted fetuses and infants: A longitudinal prospective study. Obstetrics and Gynecology, 114: 1109– 1114.
Cosmi E, Visentin S, Favretto D, Tucci M, Ragazzi E et al. (2013) Selective intrauterine growth restriction in monochorionic twin pregnancies: markers of endothelial damage and metabolomic profile. Twin Res Hum Genet 16: 816–826. Link: https://goo.gl/ThWLpZ
Dessì A, Atzori L, Noto A, Visser GH, Gazzolo D et al. (2011) Metabolomics in newborns with intrauterine growth retardation (IUGR): urine reveals markers of metabolomic syndrome - J Matern Fetal Neonatal Med Suppl 2:35-59. Link: https://goo.gl/GL6KIC
Barberini L, Noto A, Fattuoni C, Grapov D, Casanova A et al. (2014) Urinary metabolomics (GC-MS) reveals that low and high birth weight infants share elevated inositol concentrations at birth. J Matern Fetal Neonatal Med. Suppl 2: 20-26. Link: https://goo.gl/IKD4Xt
Sawicki G, Dakour J, Morrish DW (2003) Functional proteomics of neurokinin B in the placenta indicates a novel role in regulating cytotrophoblast antioxidant defences. Proteomics 3: 2044–2051. Link: https://goo.gl/VO3Dl8
Gharesi-Fard B, Zolghadri J, Kamali-Sarvestani E (2010) Proteome differences of placenta between preeclampsia and normal pregnancy. Placenta 31:121–125. Link: https://goo.gl/UfMQgK
Ma K, Jin H, Hu R, Xiong Y, Zhou S et al. (2014) A proteomic analysis of placental trophoblastic cells in preeclampsia-eclampsia. Cell Biochem Biophys 69:247–258. Link: https://goo.gl/0u3N9b
Christensen M, Kronborg CS, Eldrup N, Rossen NB, Knudsen UB et al. (2016) Preeclampsia and cardiovascular disease risk assessment - Do arterial stiffness and atherosclerosis uncover increased risk ten years after delivery? Pregnancy Hypertens 6:110-114. Link: https://goo.gl/KqWKs8