R
Roberto Romero
Researcher at National Institutes of Health
Publications - 1622
Citations - 121818
Roberto Romero is an academic researcher from National Institutes of Health. The author has contributed to research in topics: Amniotic fluid & Pregnancy. The author has an hindex of 151, co-authored 1516 publications receiving 108321 citations. Previous affiliations of Roberto Romero include University of Michigan & Weizmann Institute of Science.
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Journal ArticleDOI
CXCL10/IP-10: a missing link between inflammation and anti-angiogenesis in preeclampsia?
Francesca Gotsch,Roberto Romero,Lara A. Friel,Juan Pedro Kusanovic,Jimmy Espinoza,Offer Erez,Nandor Gabor Than,Pooja Mittal,Samuel Edwin,Bo Hyun Yoon,Chong Jai Kim,Chong Jai Kim,Shali Mazaki-Tovi,Tinnakorn Chaiworapongsa,Sonia S. Hassan +14 more
TL;DR: Patients with preeclampsia have significantly higher serum concentrations of CXCL10/IP-10 than both normal pregnant women and mothers who have SGA neonates, likely to reflect an anti-angiogenic state as well as an enhanced systemic inflammatory response in patients with preeClampsia.
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The relationship between amniotic fluid matrix metalloproteinase-8 and funisitis.
Joong Shin Park,Roberto Romero,Bo Hyun Yoon,Jeong Bin Moon,Soo-Young Oh,Soo-Yeon Han,Eun Mi Ko +6 more
TL;DR: It is proposed that determination of amniotic fluid matrix metalloproteinase-8 concentrations may assist the assessment of the fetal inflammatory status, thereby eliminating the need for fetal blood sampling.
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Strengths and limitations of microarray-based phenotype prediction: lessons learned from the IMPROVER Diagnostic Signature Challenge
Adi L. Tarca,Mario Lauria,Michael Unger,Erhan Bilal,Stéphanie Boué,Kushal K. Dey,Julia Hoeng,Heinz Koeppl,Florian Martin,Pablo Meyer,Preetam Nandy,Raquel Norel,Manuel C. Peitsch,John Jeremy Rice,Roberto Romero,Gustavo Stolovitzky,Marja Talikka,Yang Xiang,Christoph Zechner +18 more
TL;DR: The analyses of model performance data submitted in the IMPROVER Diagnostic Signature Challenge as well as additional simulations that are performed revealed that the quality of predictions depends more on the disease endpoint than on the particular approaches used in the challenge; the most important modeling factor is problem dependent.
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Candidate-gene association study of mothers with pre-eclampsia, and their infants, analyzing 775 SNPs in 190 genes.
Katrina A.B. Goddard,Gerard Tromp,Roberto Romero,Jane M. Olson,Qing Lu,Zhiying Xu,Neeta Parimi,Jyh Kae Nien,Ricardo Gomez,Ricardo Gomez,Ernesto Behnke,Margarita Solari,Jimmy Espinoza,Joaquin Santolaya,Tinnakorn Chaiworapongsa,Guy M. Lenk,Kimberly Volkenant,Madan Kumar Anant,Benjamin A. Salisbury,Janet L. Carr,Min Soeb Lee,Gerald F. Vovis,Helena Kuivaniemi +22 more
TL;DR: This study is one of the most comprehensive genetic association studies of PE to date, including an evaluation of offspring genotypes that have rarely been considered in previous studies, although it did not identify statistically significant evidence of association for any of the candidate loci evaluated.
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The psychosocial burden of hyperemesis gravidarum.
Borzouyeh Poursharif,Lisa M. Korst,Marlena S. Fejzo,Kimber MacGibbon,Roberto Romero,T. M. Goodwin +5 more
TL;DR: Over 80% of a large cohort of women with HG reported that HG caused a negative psychosocial impact, consisting of socioeconomic changes, job loss or difficulties, attitude changes including fear regarding future pregnancies and psychiatric sequelae.