Selenium-associated differentially expressed microRNAs and their targeted mRNAs across the placental genome in two U.S. birth cohorts

References

• Rayman MP. Selenium and human health. Lancet. 2012;379:1256–1268.
   Google Scholar
• Pieczyńska J, Grajeta H. The role of selenium in human conception and pregnancy. J Trace Elem Med Biol. 2015;29:31–38.
   Google Scholar
• Mistry HD, Pipkin FB, Redman CW, et al. Selenium in reproductive health. [Internet] Am J Obstet Gynecol; 2012;206. Available from: https://pubmed.ncbi.nlm.nih.gov/21963101/
   Google Scholar
• Skröder HM, Hamadani JD, Tofail F, et al. Selenium status in pregnancy influences children’s cognitive function at 1.5 years of age. Clin Nutr. 2015;34:923–930.
   Google Scholar
• Tian F-Y, Everson TM, Lester B, et al. Selenium-associated DNA methylation modifications in placenta and neurobehavioral development of newborns: an epigenome-wide study of two U.S. birth cohorts. Environ Int. 2020;137:105508.
   Google Scholar
• Amorós R, Murcia M, González L, et al. Maternal selenium status and neuropsychological development in Spanish preschool children. Environ Res. 2018;166:215–222.
   Google Scholar
• Catalanotto C, Cogoni C, Zardo G. MicroRNA in control of gene expression: an overview of nuclear functions. Int J Mol Sci. 2016;17:1712. Available from: https://www.ncbi.nlm.nih.gov/pmc/articles/PMC5085744/
   Google Scholar
• Yang T, Cao C, Yang J, et al. miR-200a-5p regulates myocardial necroptosis induced by Se deficiency via targeting RNF11. Redox Biol. 2017;15:159–169.
   Google Scholar
• Wu RT, Cao L, Mattson E, et al. Opposing impacts on healthspan and longevity by limiting dietary selenium in telomere dysfunctional mice. Aging Cell. 2017;16:125–135.
   Google Scholar
• Guo X, Yang Q, Zhang W, et al. Associations of blood levels of trace elements and heavy metals with metabolic syndrome in Chinese male adults with microRNA as mediators involved. Environ Pollut. 2019;248:66–73.
   Google Scholar
• Alehagen U, Johansson P, Aaseth J, et al. Significant changes in circulating microRNA by dietary supplementation of selenium and coenzyme Q10 in healthy elderly males. A subgroup analysis of a prospective randomized double-blind placebo-controlled trial among elderly Swedish citizens. PLoS ONE. 2017;12:e0174880.
   Google Scholar
• Gontero P, Marra G, Soria F, et al. A randomized double-blind placebo controlled phase I–II study on clinical and molecular effects of dietary supplements in men with precancerous prostatic lesions. Chemoprevention or “chemopromotion”? Prostate. 2015;75:1177–1186.
   Google Scholar
• Maciel-Dominguez A, Swan D, Ford D, et al. Selenium alters miRNA profile in an intestinal cell line: evidence that miR-185 regulates expression of GPX2 and SEPSH2. Mol Nutr Food Res. 2013;57:2195–2205.
   Google Scholar
• Potenza N, Castiello F, Panella M, et al. Human MiR-544a modulates SELK expression in hepatocarcinoma cell lines. PLOS ONE Public Library Sci. 2016;11:e0156908.
   Google Scholar
• Tarek M, Louka ML, Khairy E, et al. Role of microRNA-7 and selenoprotein P in hepatocellular carcinoma. Tumour Biol SAGE Publications Ltd STM. 2017;39:1010428317698372.
   Google Scholar
• Miska EA. How microRNAs control cell division, differentiation and death. Curr Opin Genet Dev. 2005;15:563–568.
   Google Scholar
• Maccani MA, Marsit CJ. Exposure and fetal growth-associated miRNA alterations in the human placenta. Clin Epigenet BioMed Central. 2011;2:401–404.
   Google Scholar
• Tseng AM, Mahnke AH, Wells AB, et al. Maternal circulating miRNAs that predict infant FASD outcomes influence placental maturation. Life Sci Alliance. 2019;2. Available from: https://www.life-science-alliance.org/content/2/2/e201800252
   Google Scholar
• Maccani MA, Padbury JF, Lester BM, et al. Placental miRNA expression profiles associated with measures of infant neurobehavioral outcomes. Pediatr Res. 2013;74:272.
   Google Scholar
• Gilbert-Diamond D, Cottingham KL, Gruber JF, et al. Rice consumption contributes to arsenic exposure in US women. Proc Natl Acad Sci U S A. 2011;108:20656–20660.
   Google Scholar
• Punshon T, Li Z, Marsit CJ, et al. Placental metal concentrations in relation to maternal and infant toenails in a US cohort. Environ Sci Technol. 2016;50:1587–1594.
   Google Scholar
• Kennedy EM, Hermetz K, Burt A, et al. Placental microRNA expression associates with birthweight through control of adipokines: results from two independent cohorts. Epigenetics. 2021;16:770–782.
   Google Scholar
• Love MI, Huber W, Anders S. Moderated estimation of fold change and dispersion for RNA-seq data with DESeq2. Genome Biol. 2014;15:550.
   Google Scholar
• Deyssenroth MA, Peng S, Hao K, et al. Whole-transcriptome analysis delineates the human placenta gene network and its associations with fetal growth. BMC Genomics. 2017;18:520.
   Google Scholar
• Dobin A, Davis CA, Schlesinger F, et al. STAR: ultrafast universal RNA-seq aligner. Bioinformatics Oxford Acad. 2013;29:15–21.
   Google Scholar
• Bashar SK, Mitra AK. Effect of smoking on vitamin A, vitamin E, and other trace elements in patients with cardiovascular disease in Bangladesh: a cross-sectional study. Nutr J. 2004;3:18.
   Google Scholar
• Bleys J, Navas-Acien A, Guallar E. Serum selenium and diabetes in U.S. adults. Diabetes Care. 2007;30:829–834.
   Google Scholar
• Kocyigit A, Erel O, Gur S. Effects of tobacco smoking on plasma selenium, zinc, copper and iron concentrations and related antioxidative enzyme activities. Clin Biochem. 2001;34:629–633.
   Google Scholar
• Muntau AC, Streiter M, Kappler M, et al. Age-related reference values for serum selenium concentrations in infants and children. Clin Chem. 2002;48:555–560.
   Google Scholar
• Leek JT. svaseq: removing batch effects and other unwanted noise from sequencing data. Nucleic Acids Res. 2014;42:e161–e161.
   Google Scholar
• Ren X, Kuan P-F. Negative binomial additive model for RNA-Seq data analysis. BMC Bioinformatics. 2020;21:171.
   Google Scholar
• Zuur AF, Ieno EN, Walker N, et al. Mixed effects models and extensions in ecology with R. New York/NY: Springer New York; 2009, 53. Available from: http://link.springer.com/10.1007/978-0-387-87458-6
   Google Scholar
• Tokar T, Pastrello C, Rossos AEM, et al. mirDIP 4.1—integrative database of human microRNA target predictions. Nucleic Acids Res. 2018;46:D360–70.
   Google Scholar
• Ritchie ME, Phipson B, Wu D, et al. limma powers differential expression analyses for RNA-sequencing and microarray studies. Nucleic Acids Res. 2015;43:e47.
   Google Scholar
• Revelle WR. psych: procedures for personality and psychological research. 2017. Available from: https://www.scholars.northwestern.edu/en/publications/psych-procedures-for-personality-and-psychological-research
   Google Scholar
• Kamburov A, Pentchev K, Galicka H, et al. ConsensusPathDB: toward a more complete picture of cell biology. Nucleic Acids Res. 2011;39:D712–717.
   Google Scholar
• Wang Y, Luo J, Zhang H, et al. microRNAs in the same clusters evolve to coordinately regulate functionally related genes. Mol Biol Evol. 2016;33:2232–2247.
   Google Scholar
• Kosik-Bogacka D, Łanocha-Arendarczyk N, Kot K, et al. Concentrations of mercury (Hg) and selenium (Se) in afterbirth and their relations with various factors. Environ Geochem Health. 2018;40:1683–1695.
   Google Scholar
• Osman K, Åkesson A, Berglund M, et al. Toxic and essential elements in placentas of Swedish women. Clin Biochem. 2000;33:131–138.
   Google Scholar
• Sakamoto M, Yasutake A, Domingo JL, et al. Relationships between trace element concentrations in chorionic tissue of placenta and umbilical cord tissue: potential use as indicators for prenatal exposure. Environ Int. 2013;60:106–111.
   Google Scholar
• Institute of Medicine. Dietary reference intakes for vitamin C, vitamin E, selenium, and carotenoids. Washington/D.C.: National Academies Press; 2000. Available from: http://www.nap.edu/catalog/9810.
   Google Scholar
• National Institutes of Health. Office of dietary supplements - selenium. 2019. Available from: https://ods.od.nih.gov/factsheets/Selenium-Consumer/
   Google Scholar
• Ludwig N, Leidinger P, Becker K, et al. Distribution of miRNA expression across human tissues. Nucleic Acids Res Oxford Academic. 2016;44:3865–3877.
   Google Scholar
• Flum M, Kleemann M, Schneider H, et al. miR-217-5p induces apoptosis by directly targeting PRKCI, BAG3, ITGAV and MAPK1 in colorectal cancer cells. J Cell Commun Signal. 2018;12:451–466.
   Google Scholar
• Liu Y-P, Sun X-H, Cao X-L, et al. MicroRNA-217 suppressed epithelial-to-mesenchymal transition in gastric cancer metastasis through targeting PTPN14. Eur Rev Med Pharmacol Sci. 2017;21:1759–1767.
   Google Scholar
• Chai L, Yang G. MiR-216a-5p targets TCTN1 to inhibit cell proliferation and induce apoptosis in esophageal squamous cell carcinoma. Cell Mol Biol Lett. 2019;24:46.
   Google Scholar
• Costanzo V, Bardelli A, Siena S, et al. Exploring the links between cancer and placenta development. Open Biol. 2018;8:180081. Available from: https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6030113/
   Google Scholar
• Wang H, Qin R, Guan A, et al. HOTAIR enhanced paclitaxel and doxorubicin resistance in gastric cancer cells partly through inhibiting miR-217 expression. J Cell Biochem. 2018;119:7226–7234.
   Google Scholar
• Stelzer G, Rosen N, Plaschkes I, et al. The GeneCards suite: from gene data mining to disease genome sequence analyses. Curr Protoc Bioinformatics. 2016;54:1.30.1–1.30.33.
   Google Scholar
• Cao L, Zhang L, Zeng H, et al. Analyses of selenotranscriptomes and selenium concentrations in response to dietary selenium deficiency and age reveal common and distinct patterns by tissue and sex in telomere-dysfunctional mice. J Nutr Oxford Acad. 2017;147:1858–1866.
   Google Scholar
• Watson M, van Leer L, Vanderlelie JJ, et al. Selenium supplementation protects trophoblast cells from oxidative stress. Placenta. 2012;33:1012–1019.
   Google Scholar
• Lu H-Y, Somuncu B, Zhu J, et al. Selenoproteins and epigenetic regulation in mammals. In Patel VB, Preedy VR, editors. Handbook of nutrition, diet, and epigenetics. Cham: Springer International Publishing; 2019, p. 1803–1817. Available from: http://link.springer.com/10.1007/978-3-319-55530-0_31
   Google Scholar