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Items: 1 to 20 of 107

1.

Amniotic fluid: the use of high-dimensional biology to understand fetal well-being.

Kamath-Rayne BD, Smith HC, Muglia LJ, Morrow AL.

Reprod Sci. 2014 Jan;21(1):6-19. doi: 10.1177/1933719113485292. Review.

2.

Multidimensional proteomics analysis of amniotic fluid to provide insight into the mechanisms of idiopathic preterm birth.

Buhimschi IA, Zhao G, Rosenberg VA, Abdel-Razeq S, Thung S, Buhimschi CS.

PLoS One. 2008 Apr 23;3(4):e2049. doi: 10.1371/journal.pone.0002049.

3.

Systems biology evaluation of cell-free amniotic fluid transcriptome of term and preterm infants to detect fetal maturity.

Kamath-Rayne BD, Du Y, Hughes M, Wagner EA, Muglia LJ, DeFranco EA, Whitsett JA, Salomonis N, Xu Y.

BMC Med Genomics. 2015 Oct 22;8:67. doi: 10.1186/s12920-015-0138-5.

4.

Mid-trimester maternal serum and amniotic fluid biomarkers for the prediction of preterm delivery and intrauterine growth retardation.

Ozgu-Erdinc AS, Cavkaytar S, Aktulay A, Buyukkagnici U, Erkaya S, Danisman N.

J Obstet Gynaecol Res. 2014 Jun;40(6):1540-6. doi: 10.1111/jog.12371.

PMID:
24888913
5.

Mass spectrometry-based proteomics for pre-eclampsia and preterm birth.

Law KP, Han TL, Tong C, Baker PN.

Int J Mol Sci. 2015 May 14;16(5):10952-85. doi: 10.3390/ijms160510952. Review.

6.

Proteomic analysis of midtrimester amniotic fluid to identify novel biomarkers for preterm delivery.

Fotopoulou C, Kyeyamwa S, Linder M, Thieme D, Hartenstein S, Klein O, Dudenhausen JW, Henrich W, Kalache KD, Bamberg C.

J Matern Fetal Neonatal Med. 2012 Dec;25(12):2488-93. doi: 10.3109/14767058.2012.712565.

PMID:
22827563
7.

Proteomic analysis using protein chips to detect biomarkers in cervical and amniotic fluid in women with intra-amniotic inflammation.

Rüetschi U, Rosén A, Karlsson G, Zetterberg H, Rymo L, Hagberg H, Jacobsson B.

J Proteome Res. 2005 Nov-Dec;4(6):2236-42.

PMID:
16335971
8.

Amniotic fluid metabolomic analysis in spontaneous preterm birth.

Menon R, Jones J, Gunst PR, Kacerovsky M, Fortunato SJ, Saade GR, Basraon S.

Reprod Sci. 2014 Jun;21(6):791-803. doi: 10.1177/1933719113518987.

9.

Surfactant protein D modulates levels of IL-10 and TNF-α in intrauterine compartments during lipopolysaccharide-induced preterm birth.

Salminen A, Vuolteenaho R, Paananen R, Ojaniemi M, Hallman M.

Cytokine. 2012 Nov;60(2):423-30. doi: 10.1016/j.cyto.2012.07.021.

PMID:
22892325
10.

Proteomic analysis of amniotic fluid for the diagnosis of fetal aneuploidies.

Kolialexi A, Tounta G, Mavrou A, Tsangaris GT.

Expert Rev Proteomics. 2011 Apr;8(2):175-85. doi: 10.1586/epr.10.112. Review.

PMID:
21501011
11.

Annexin A2 in amniotic fluid: correlation with histological chorioamnionitis, preterm premature rupture of membranes, and subsequent preterm delivery.

Namba F, Ina S, Kitajima H, Yoshio H, Mimura K, Saito S, Yanagihara I.

J Obstet Gynaecol Res. 2012 Jan;38(1):137-44. doi: 10.1111/j.1447-0756.2011.01651.x.

PMID:
21955246
12.

Second trimester amniotic fluid transferrin and uric acid predict infant birth outcomes.

Gao T, Zablith NR, Burns DH, Skinner CD, Koski KG.

Prenat Diagn. 2008 Sep;28(9):810-4. doi: 10.1002/pd.1981.

PMID:
18646241
13.

Predictive power of maternal serum and amniotic fluid CRP and PAPP-A concentrations at the time of genetic amniocentesis for the preterm delivery.

Ozer KT, Kavak ZN, Gökaslan H, Elter K, Pekin T.

Eur J Obstet Gynecol Reprod Biol. 2005 Oct 1;122(2):187-90.

PMID:
16219520
14.

Clinical proteomics in obstetrics and neonatology.

Klein J, Buffin-Meyer B, Mullen W, Carty DM, Delles C, Vlahou A, Mischak H, Decramer S, Bascands JL, Schanstra JP.

Expert Rev Proteomics. 2014 Feb;11(1):75-89. doi: 10.1586/14789450.2014.872564. Review.

PMID:
24404900
15.
16.

Novel biomarkers for the prediction of the spontaneous preterm birth phenotype: a systematic review and meta-analysis.

Conde-Agudelo A, Papageorghiou AT, Kennedy SH, Villar J.

BJOG. 2011 Aug;118(9):1042-54. doi: 10.1111/j.1471-0528.2011.02923.x. Review.

17.

Screening to prevent spontaneous preterm birth: systematic reviews of accuracy and effectiveness literature with economic modelling.

Honest H, Forbes CA, Durée KH, Norman G, Duffy SB, Tsourapas A, Roberts TE, Barton PM, Jowett SM, Hyde CJ, Khan KS.

Health Technol Assess. 2009 Sep;13(43):1-627. doi: 10.3310/hta13430. Review.

18.

Diagnosis of intra-amniotic infection by proteomic profiling and identification of novel biomarkers.

Gravett MG, Novy MJ, Rosenfeld RG, Reddy AP, Jacob T, Turner M, McCormack A, Lapidus JA, Hitti J, Eschenbach DA, Roberts CT Jr, Nagalla SR.

JAMA. 2004 Jul 28;292(4):462-9. Erratum in: JAMA. 2004 Nov;292(19):2340.

PMID:
15280344
19.

Metabolomics application in maternal-fetal medicine.

Fanos V, Atzori L, Makarenko K, Melis GB, Ferrazzi E.

Biomed Res Int. 2013;2013:720514. doi: 10.1155/2013/720514. Review.

20.

The natural interleukin-1 receptor antagonist in the fetal, maternal, and amniotic fluid compartments: the effect of gestational age, fetal gender, and intrauterine infection.

Romero R, Gomez R, Galasso M, Mazor M, Berry SM, Quintero RA, Cotton DB.

Am J Obstet Gynecol. 1994 Oct;171(4):912-21.

PMID:
7943101
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