Literature DB >> 27997141

Neonatal Metabolomic Profiles Related to Prenatal Arsenic Exposure.

Jessica E Laine, Kathryn A Bailey, Andrew F Olshan, Lisa Smeester, Zuzana Drobná1, Miroslav Stýblo, Christelle Douillet, Gonzalo García-Vargas2, Marisela Rubio-Andrade2, Wimal Pathmasiri3, Susan McRitchie3, Susan J Sumner3, Rebecca C Fry.   

Abstract

Prenatal inorganic arsenic (iAs) exposure is associated with health effects evident at birth and later in life. An understanding of the relationship between prenatal iAs exposure and alterations in the neonatal metabolome could reveal critical molecular modifications, potentially underpinning disease etiologies. In this study, nuclear magnetic resonance (NMR) spectroscopy-based metabolomic analysis was used to identify metabolites in neonate cord serum associated with prenatal iAs exposure in participants from the Biomarkers of Exposure to ARsenic (BEAR) pregnancy cohort, in Gómez Palacio, Mexico. Through multivariable linear regression, ten cord serum metabolites were identified as significantly associated with total urinary iAs and/or iAs metabolites, measured as %iAs, %monomethylated arsenicals (MMAs), and %dimethylated arsenicals (DMAs). A total of 17 metabolites were identified as significantly associated with total iAs and/or iAs metabolites in cord serum. These metabolites are indicative of changes in important biochemical pathways such as vitamin metabolism, the citric acid (TCA) cycle, and amino acid metabolism. These data highlight that maternal biotransformation of iAs and neonatal levels of iAs and its metabolites are associated with differences in neonate cord metabolomic profiles. The results demonstrate the potential utility of metabolites as biomarkers/indicators of in utero environmental exposure.

Entities:  

Mesh:

Substances:

Year:  2016        PMID: 27997141      PMCID: PMC5460981          DOI: 10.1021/acs.est.6b04374

Source DB:  PubMed          Journal:  Environ Sci Technol        ISSN: 0013-936X            Impact factor:   9.028


  46 in total

1.  Urinary arsenic concentration adjustment factors and malnutrition.

Authors:  Barbro Nermell; Anna-Lena Lindberg; Mahfuzar Rahman; Marika Berglund; Lars Ake Persson; Shams El Arifeen; Marie Vahter
Journal:  Environ Res       Date:  2007-09-27       Impact factor: 6.498

Review 2.  Current trends and future requirements for the mass spectrometric investigation of microbial, mammalian and plant metabolomes.

Authors:  Warwick B Dunn
Journal:  Phys Biol       Date:  2008-02-20       Impact factor: 2.583

3.  A systems biology approach utilizing a mouse diversity panel identifies genetic differences influencing isoniazid-induced microvesicular steatosis.

Authors:  Rachel J Church; Hong Wu; Merrie Mosedale; Susan J Sumner; Wimal Pathmasiri; Catherine L Kurtz; Mathew T Pletcher; John S Eaddy; Karamjeet Pandher; Monica Singer; Ameesha Batheja; Paul B Watkins; Karissa Adkins; Alison H Harrill
Journal:  Toxicol Sci       Date:  2014-05-20       Impact factor: 4.849

4.  Shotgun metabolomic approach based on mass spectrometry for hepatic mitochondria of mice under arsenic exposure.

Authors:  M A García-Sevillano; T García-Barrera; F Navarro; Z Montero-Lobato; J L Gómez-Ariza
Journal:  Biometals       Date:  2015-03-10       Impact factor: 2.949

5.  Prenatal arsenic exposure and shifts in the newborn proteome: interindividual differences in tumor necrosis factor (TNF)-responsive signaling.

Authors:  Kathryn A Bailey; Jessica Laine; Julia E Rager; Elizabeth Sebastian; Andrew Olshan; Lisa Smeester; Zuzana Drobná; Miroslav Styblo; Marisela Rubio-Andrade; Gonzalo García-Vargas; Rebecca C Fry
Journal:  Toxicol Sci       Date:  2014-03-27       Impact factor: 4.849

6.  Metabonomic analysis of serum of workers occupationally exposed to arsenic, cadmium and lead for biomarker research: a preliminary study.

Authors:  Ilona Dudka; Barbara Kossowska; Hanna Senhadri; Rafał Latajka; Julianna Hajek; Ryszard Andrzejak; Jolanta Antonowicz-Juchniewicz; Roman Gancarz
Journal:  Environ Int       Date:  2014-04-06       Impact factor: 9.621

7.  Prenatal arsenic exposure and the epigenome: altered microRNAs associated with innate and adaptive immune signaling in newborn cord blood.

Authors:  Julia E Rager; Kathryn A Bailey; Lisa Smeester; Sloane K Miller; Joel S Parker; Jessica E Laine; Zuzana Drobná; Jenna Currier; Christelle Douillet; Andrew F Olshan; Marisela Rubio-Andrade; Miroslav Stýblo; Gonzalo García-Vargas; Rebecca C Fry
Journal:  Environ Mol Mutagen       Date:  2013-12-10       Impact factor: 3.216

8.  Prenatal arsenic exposure and DNA methylation in maternal and umbilical cord blood leukocytes.

Authors:  Molly L Kile; Andrea Baccarelli; Elaine Hoffman; Letizia Tarantini; Quazi Quamruzzaman; Mahmuder Rahman; Golam Mahiuddin; Golam Mostofa; Yu-Mei Hsueh; Robert O Wright; David C Christiani
Journal:  Environ Health Perspect       Date:  2012-03-30       Impact factor: 9.031

9.  Mechanisms Underlying Latent Disease Risk Associated with Early-Life Arsenic Exposure: Current Research Trends and Scientific Gaps.

Authors:  Kathryn A Bailey; Allan H Smith; Erik J Tokar; Joseph H Graziano; Kyoung-Woong Kim; Panida Navasumrit; Mathuros Ruchirawat; Apinya Thiantanawat; William A Suk; Rebecca C Fry
Journal:  Environ Health Perspect       Date:  2015-06-26       Impact factor: 9.031

10.  Activation of inflammation/NF-kappaB signaling in infants born to arsenic-exposed mothers.

Authors:  Rebecca C Fry; Panida Navasumrit; Chandni Valiathan; J Peter Svensson; Bradley J Hogan; Manlin Luo; Sanchita Bhattacharya; Krittinee Kandjanapa; Sumitra Soontararuks; Sumontha Nookabkaew; Chulabhorn Mahidol; Mathuros Ruchirawat; Leona D Samson
Journal:  PLoS Genet       Date:  2007-11       Impact factor: 5.917

View more
  9 in total

1.  Metabolome Wide Association Study of serum DDT and DDE in Pregnancy and Early Postpartum.

Authors:  Xin Hu; Shuzhao Li; Piera Cirillo; Nickilou Krigbaum; ViLinh Tran; Tomoko Ishikawa; Michele A La Merrill; Dean P Jones; Barbara Cohn
Journal:  Reprod Toxicol       Date:  2019-05-15       Impact factor: 3.143

2.  Targeted metabolomics to understand the association between arsenic metabolism and diabetes-related outcomes: Preliminary evidence from the Strong Heart Family Study.

Authors:  Miranda J Spratlen; Maria Grau-Perez; Jason G Umans; Joseph Yracheta; Lyle G Best; Kevin Francesconi; Walter Goessler; Teodoro Bottiglieri; Mary V Gamble; Shelley A Cole; Jinying Zhao; Ana Navas-Acien
Journal:  Environ Res       Date:  2018-09-27       Impact factor: 6.498

Review 3.  Integrating -Omics Approaches into Human Population-Based Studies of Prenatal and Early-Life Exposures.

Authors:  Todd M Everson; Carmen J Marsit
Journal:  Curr Environ Health Rep       Date:  2018-09

4.  Health effects of arsenic exposure in Latin America: An overview of the past eight years of research.

Authors:  Khalid M Khan; Rishika Chakraborty; Jochen Bundschuh; Prosun Bhattacharya; Faruque Parvez
Journal:  Sci Total Environ       Date:  2019-12-12       Impact factor: 7.963

Review 5.  Prenatal Exposure to Potentially Toxic Metals and Their Effects on Genetic Material in Offspring: a Systematic Review.

Authors:  Marvin Paz-Sabillón; Luisa Torres-Sánchez; Maricela Piña-Pozas; Luz M Del Razo; Betzabet Quintanilla-Vega
Journal:  Biol Trace Elem Res       Date:  2022-06-17       Impact factor: 3.738

6.  Toxic metals in amniotic fluid and altered gene expression in cell-free fetal RNA.

Authors:  Lisa Smeester; Elizabeth M Martin; Pete Cable; Wanda Bodnar; Kim Boggess; Neeta L Vora; Rebecca C Fry
Journal:  Prenat Diagn       Date:  2017-12       Impact factor: 3.050

7.  Lipid Metabolism Alterations in a Rat Model of Chronic and Intergenerational Exposure to Arsenic.

Authors:  Cesar Rivas-Santiago; Irma González-Curiel; Sergio Zarazua; Michael Murgu; Alonso Ruiz Cardona; Blanca Lazalde; Edgar E Lara-Ramírez; Edgar Vázquez; Julio Enrique Castañeda-Delgado; Bruno Rivas-Santiago; Jesús Adrián Lopez; Alberto R Cervantes-Villagrana; Yamilé López-Hernández
Journal:  Biomed Res Int       Date:  2019-10-15       Impact factor: 3.411

8.  A metabolome-wide association study of in utero metal and trace element exposures with cord blood metabolome profile: Findings from the Boston Birth Cohort.

Authors:  Mingyu Zhang; Jessie P Buckley; Liming Liang; Xiumei Hong; Guoying Wang; Mei-Cheng Wang; Marsha Wills-Karp; Xiaobin Wang; Noel T Mueller
Journal:  Environ Int       Date:  2021-11-19       Impact factor: 9.621

9.  Quantitative methods for metabolomic analyses evaluated in the Children's Health Exposure Analysis Resource (CHEAR).

Authors:  Matthew Mazzella; Susan J Sumner; Shangzhi Gao; Li Su; Nancy Diao; Golam Mostofa; Qazi Qamruzzaman; Wimal Pathmasiri; David C Christiani; Timothy Fennell; Chris Gennings
Journal:  J Expo Sci Environ Epidemiol       Date:  2019-09-23       Impact factor: 5.563

  9 in total

北京卡尤迪生物科技股份有限公司 © 2022-2023.