{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2026,6,2]],"date-time":"2026-06-02T16:50:00Z","timestamp":1780419000163,"version":"3.54.1"},"reference-count":70,"publisher":"Springer Science and Business Media LLC","issue":"2","license":[{"start":{"date-parts":[[2022,1,20]],"date-time":"2022-01-20T00:00:00Z","timestamp":1642636800000},"content-version":"tdm","delay-in-days":0,"URL":"https:\/\/www.springernature.com\/gp\/researchers\/text-and-data-mining"},{"start":{"date-parts":[[2022,1,20]],"date-time":"2022-01-20T00:00:00Z","timestamp":1642636800000},"content-version":"vor","delay-in-days":0,"URL":"https:\/\/www.springernature.com\/gp\/researchers\/text-and-data-mining"}],"funder":[{"DOI":"10.13039\/501100001807","name":"Funda\u00e7\u00e3o de Amparo \u00e0 Pesquisa do Estado de S\u00e3o Paulo","doi-asserted-by":"publisher","award":["2010\/ 00153-3"],"award-info":[{"award-number":["2010\/ 00153-3"]}],"id":[{"id":"10.13039\/501100001807","id-type":"DOI","asserted-by":"publisher"}]},{"DOI":"10.13039\/501100002322","name":"Coordena\u00e7\u00e3o de Aperfei\u00e7oamento de Pessoal de N\u00edvel Superior","doi-asserted-by":"publisher","id":[{"id":"10.13039\/501100002322","id-type":"DOI","asserted-by":"publisher"}]},{"DOI":"10.13039\/501100003593","name":"Conselho Nacional de Desenvolvimento Cient\u00edfico e Tecnol\u00f3gico","doi-asserted-by":"publisher","award":["305641\/2011-5"],"award-info":[{"award-number":["305641\/2011-5"]}],"id":[{"id":"10.13039\/501100003593","id-type":"DOI","asserted-by":"publisher"}]}],"content-domain":{"domain":["link.springer.com"],"crossmark-restriction":false},"short-container-title":["Human Cell"],"DOI":"10.1007\/s13577-022-00672-x","type":"journal-article","created":{"date-parts":[[2022,1,20]],"date-time":"2022-01-20T19:03:48Z","timestamp":1642705428000},"page":"639-648","update-policy":"https:\/\/doi.org\/10.1007\/springer_crossmark_policy","source":"Crossref","is-referenced-by-count":7,"title":["Differential microRNA expression profile in blood of children with Down syndrome suggests a role in immunological dysfunction"],"prefix":"10.1007","volume":"35","author":[{"given":"Joice Matos","family":"Biselli","sequence":"first","affiliation":[],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Bruna Lancia","family":"Zampieri","sequence":"additional","affiliation":[],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Patr\u00edcia Matos","family":"Biselli-Chicote","sequence":"additional","affiliation":[],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Jorge Estefano Santana","family":"de Souza","sequence":"additional","affiliation":[],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Matheus Carvalho","family":"B\u00fcrger","sequence":"additional","affiliation":[],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Wilson Ara\u00fajo","family":"da Silva Jr","sequence":"additional","affiliation":[],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Eny Maria","family":"Goloni-Bertollo","sequence":"additional","affiliation":[],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"\u00c9rika Cristina","family":"Pavarino","sequence":"additional","affiliation":[],"role":[{"vocabulary":"crossref","role":"author"}]}],"member":"297","published-online":{"date-parts":[[2022,1,20]]},"reference":[{"key":"672_CR1","doi-asserted-by":"publisher","DOI":"10.1038\/s41572-019-0143-7","author":"SE Antonarakis","year":"2020","unstructured":"Antonarakis SE, Skotko BG, Rafii MS, et al. Down syndrome. Nat Rev Dis Primers. 2020. https:\/\/doi.org\/10.1038\/s41572-019-0143-7.","journal-title":"Nat Rev Dis Primers"},{"key":"672_CR2","doi-asserted-by":"publisher","DOI":"10.1590\/S0104-42302009000500017","author":"EC Pavarino Bertelli","year":"2009","unstructured":"Pavarino Bertelli EC, Biselli JM, Bonfim D, Goloni-Bertollo EM. Clinical profile of children with Down syndrome treated in a genetics outpatient service in the southeast of Brazil. Rev Assoc Med Bras. 2009. https:\/\/doi.org\/10.1590\/S0104-42302009000500017.","journal-title":"Rev Assoc Med Bras"},{"key":"672_CR3","doi-asserted-by":"publisher","DOI":"10.1002\/ajmg.c.31439","author":"J Grieco","year":"2015","unstructured":"Grieco J, Pulsifer M, Seligsohn K, Skotko B, Schwartz A. Down syndrome: cognitive and behavioral functioning across the lifespan. Am J Med Genet C Semin Med Genet. 2015. https:\/\/doi.org\/10.1002\/ajmg.c.31439.","journal-title":"Am J Med Genet C Semin Med Genet"},{"key":"672_CR4","doi-asserted-by":"publisher","DOI":"10.1016\/j.ejmg.2015.11.003","author":"C Stoll","year":"2015","unstructured":"Stoll C, Dott B, Alembik Y, Roth MP. Associated congenital anomalies among cases with Down syndrome. Eur J Med Genet. 2015. https:\/\/doi.org\/10.1016\/j.ejmg.2015.11.003.","journal-title":"Eur J Med Genet"},{"key":"672_CR5","doi-asserted-by":"publisher","DOI":"10.1016\/j.neubiorev.2019.01.001","author":"RA Vacca","year":"2019","unstructured":"Vacca RA, Bawari S, Valenti D, et al. Down syndrome: neurobiological alterations and therapeutic targets. Neurosci Biobehav Rev. 2019. https:\/\/doi.org\/10.1016\/j.neubiorev.2019.01.001.","journal-title":"Neurosci Biobehav Rev"},{"key":"672_CR6","doi-asserted-by":"publisher","DOI":"10.3389\/fped.2020.00073","author":"D Huggard","year":"2020","unstructured":"Huggard D, Doherty DG, Molloy EJ. Immune dysregulation in children with down syndrome. Front Pediatr. 2020. https:\/\/doi.org\/10.3389\/fped.2020.00073.","journal-title":"Front Pediatr"},{"key":"672_CR7","doi-asserted-by":"publisher","DOI":"10.1007\/s11864-017-0485-x","author":"S Saida","year":"2017","unstructured":"Saida S. Predispositions to leukemia in down syndrome and other hereditary disorders. Curr Treat Options Oncol. 2017. https:\/\/doi.org\/10.1007\/s11864-017-0485-x.","journal-title":"Curr Treat Options Oncol"},{"key":"672_CR8","doi-asserted-by":"publisher","DOI":"10.1186\/1471-2350-7-24","author":"CM Li","year":"2006","unstructured":"Li CM, Guo M, Salas M, et al. Cell type-specific over-expression of chromosome 21 genes in fibroblasts and fetal hearts with trisomy 21. BMC Med Genet. 2006. https:\/\/doi.org\/10.1186\/1471-2350-7-24.","journal-title":"BMC Med Genet"},{"key":"672_CR9","doi-asserted-by":"publisher","DOI":"10.1186\/gb-2004-5-10-244","author":"K Gardiner","year":"2004","unstructured":"Gardiner K. Gene-dosage effects in Down syndrome and trisomic mouse models. Genome Biol. 2004. https:\/\/doi.org\/10.1186\/gb-2004-5-10-244.","journal-title":"Genome Biol"},{"key":"672_CR10","doi-asserted-by":"publisher","DOI":"10.1016\/j.tig.2005.02.012","author":"DR FitzPatrick","year":"2005","unstructured":"FitzPatrick DR. Transcriptional consequences of autosomal trisomy: primary gene dosage with complex downstream effects. Trends Genet. 2005. https:\/\/doi.org\/10.1016\/j.tig.2005.02.012.","journal-title":"Trends Genet"},{"key":"672_CR11","doi-asserted-by":"publisher","DOI":"10.1038\/nature13200","author":"A Letourneau","year":"2014","unstructured":"Letourneau A, Santoni FA, Bonilla X, et al. Domains of genome-wide gene expression dysregulation in Down\u2019s syndrome. Nature. 2014. https:\/\/doi.org\/10.1038\/nature13200.","journal-title":"Nature"},{"key":"672_CR12","doi-asserted-by":"publisher","DOI":"10.1038\/nrg.2016.154","author":"SE Antonarakis","year":"2017","unstructured":"Antonarakis SE. Down syndrome and the complexity of genome dosage imbalance. Nat Rev Genet. 2017. https:\/\/doi.org\/10.1038\/nrg.2016.154.","journal-title":"Nat Rev Genet"},{"key":"672_CR13","doi-asserted-by":"publisher","DOI":"10.1371\/journal.pone.0107218","author":"BL Zampieri","year":"2014","unstructured":"Zampieri BL, Biselli-P\u00e9rico JM, de Souza JE, et al. Altered expression of immune-related genes in children with Down syndrome. PLoS ONE. 2014. https:\/\/doi.org\/10.1371\/journal.pone.0107218.","journal-title":"PLoS ONE"},{"key":"672_CR14","doi-asserted-by":"publisher","DOI":"10.1016\/j.ymeth.2010.01.010","author":"C Becker","year":"2010","unstructured":"Becker C, Hammerle-Fickinger A, Riedmaier I, Pfaffl MW. mRNA and microRNA quality control for RT-qPCR analysis. Methods. 2010. https:\/\/doi.org\/10.1016\/j.ymeth.2010.01.010.","journal-title":"Methods"},{"key":"672_CR15","unstructured":"The R Project for Statistical Computing. https:\/\/www.r-project.org\/. Accessed 02 Ago 2021."},{"key":"672_CR16","doi-asserted-by":"publisher","DOI":"10.1186\/gb-2004-5-10-r80","author":"RC Gentleman","year":"2004","unstructured":"Gentleman RC, Carey VJ, Bates DM, et al. Bioconductor: open software development for computational biology and bioinformatics. Genome Biol. 2004. https:\/\/doi.org\/10.1186\/gb-2004-5-10-r80.","journal-title":"Genome Biol"},{"key":"672_CR17","doi-asserted-by":"publisher","DOI":"10.1093\/bioinformatics\/btp578","author":"H Dvinge","year":"2009","unstructured":"Dvinge H, Bertone P. HTqPCR: high-throughput analysis and visualization of quantitative real-time PCR data in R. Bioinformatics. 2009. https:\/\/doi.org\/10.1093\/bioinformatics\/btp578.","journal-title":"Bioinformatics"},{"key":"672_CR18","doi-asserted-by":"publisher","DOI":"10.1186\/gb-2002-3-7-research0034","author":"J Vandesompele","year":"2002","unstructured":"Vandesompele J, De Preter K, Pattyn F, et al. Accurate normalization of real-time quantitative RT-PCR data by geometric averaging of multiple internal control genes. Genome Biol. 2002. https:\/\/doi.org\/10.1186\/gb-2002-3-7-research0034.","journal-title":"Genome Biol"},{"key":"672_CR19","doi-asserted-by":"publisher","DOI":"10.1006\/meth.2001.1262","author":"KJ Livak","year":"2001","unstructured":"Livak KJ, Schmittgen TD. Analysis of relative gene expression data using real-time quantitative PCR and the 2(-Delta Delta C(T)) Method. Methods. 2001. https:\/\/doi.org\/10.1006\/meth.2001.1262.","journal-title":"Methods"},{"key":"672_CR20","doi-asserted-by":"publisher","DOI":"10.2202\/1544-6115.1027","author":"GK Smyth","year":"2004","unstructured":"Smyth GK. Linear models and empirical bayes methods for assessing differential expression in microarray experiments. Stat Appl Genet Mol Biol. 2004. https:\/\/doi.org\/10.2202\/1544-6115.1027.","journal-title":"Stat Appl Genet Mol Biol"},{"key":"672_CR21","doi-asserted-by":"crossref","unstructured":"Benjamini Y, Hochberg Y. Controlling the false discovery rate: a practical and powerful approach to multiple testing. J R Stat Soc Series B Stat Methodol. 1995; https:\/\/www.jstor.org\/stable\/2346101","DOI":"10.1111\/j.2517-6161.1995.tb02031.x"},{"key":"672_CR22","doi-asserted-by":"publisher","DOI":"10.1093\/nar\/gkv403","author":"IS Vlachos","year":"2015","unstructured":"Vlachos IS, Zagganas K, Paraskevopoulou MD, et al. DIANA-miRPath v3.0: deciphering microRNA function with experimental support. Nucleic Acids Res. 2015. https:\/\/doi.org\/10.1093\/nar\/gkv403.","journal-title":"Nucleic Acids Res"},{"key":"672_CR23","doi-asserted-by":"publisher","DOI":"10.1093\/nar\/gkt393","author":"MD Paraskevopoulou","year":"2013","unstructured":"Paraskevopoulou MD, Georgakilas G, Kostoulas N, et al. DIANA-microT web server v5.0: service integration into miRNA functional analysis workflows. Nucleic Acids Res. 2013. https:\/\/doi.org\/10.1093\/nar\/gkt393.","journal-title":"Nucleic Acids Res"},{"key":"672_CR24","doi-asserted-by":"publisher","DOI":"10.1093\/bioinformatics\/bts043","author":"M Reczko","year":"2012","unstructured":"Reczko M, Maragkakis M, Alexiou P, Grosse I, Hatzigeorgiou AG. Functional microRNA targets in protein coding sequences. Bioinformatics. 2012. https:\/\/doi.org\/10.1093\/bioinformatics\/bts043.","journal-title":"Bioinformatics"},{"key":"672_CR25","unstructured":"miRBase: the microRNA database. Release 22.1. http:\/\/www.mirbase.org\/. Accessed 02 Ago 2021."},{"key":"672_CR26","doi-asserted-by":"publisher","DOI":"10.1093\/nar\/gkj112","author":"S Griffiths-Jones","year":"2006","unstructured":"Griffiths-Jones S, Grocock RJ, van Dongen S, Bateman A, Enright AJ. miRBase: microRNA sequences, targets and gene nomenclature. Nucleic Acids Res. 2006. https:\/\/doi.org\/10.1093\/nar\/gkj112.","journal-title":"Nucleic Acids Res"},{"key":"672_CR27","doi-asserted-by":"publisher","DOI":"10.1007\/s10571-017-0514-0","author":"PN Alexandrov","year":"2018","unstructured":"Alexandrov PN, Percy ME, Lukiw WJ. Chromosome 21-encoded microRNAs (mRNAs): impact on Down\u2019s syndrome and Trisomy-21 linked disease. Cell Mol Neurobiol. 2018. https:\/\/doi.org\/10.1007\/s10571-017-0514-0.","journal-title":"Cell Mol Neurobiol"},{"key":"672_CR28","doi-asserted-by":"publisher","DOI":"10.1086\/519979","author":"P Sethupathy","year":"2007","unstructured":"Sethupathy P, Borel C, Gagnebin M, et al. Human microRNA-155 on chromosome 21 differentially interacts with its polymorphic target in the AGTR1 3\u2019 untranslated region: a mechanism for functional single-nucleotide polymorphisms related to phenotypes. Am J Hum Genet. 2007. https:\/\/doi.org\/10.1086\/519979.","journal-title":"Am J Hum Genet"},{"key":"672_CR29","doi-asserted-by":"publisher","DOI":"10.1016\/j.anndiagpath.2018.03.006","author":"E Tili","year":"2018","unstructured":"Tili E, Mezache L, Michaille JJ, et al. microRNA 155 up regulation in the CNS is strongly correlated to Down\u2019s syndrome dementia. Ann Diagn Pathol. 2018. https:\/\/doi.org\/10.1016\/j.anndiagpath.2018.03.006.","journal-title":"Ann Diagn Pathol"},{"key":"672_CR30","doi-asserted-by":"publisher","DOI":"10.1097\/WNR.0b013e32834f4eb4","author":"YY Li","year":"2012","unstructured":"Li YY, Alexandrov PN, Pogue AI, et al. miRNA-155 upregulation and complement factor H deficits in Down\u2019s syndrome. NeuroReport. 2012. https:\/\/doi.org\/10.1097\/WNR.0b013e32834f4eb4.","journal-title":"NeuroReport"},{"key":"672_CR31","doi-asserted-by":"publisher","DOI":"10.3389\/fimmu.2018.02683","author":"C Farroni","year":"2018","unstructured":"Farroni C, Marasco E, Marcellini V, et al. Dysregulated miR-155 and miR-125b are related to impaired B-cell responses in Down syndrome. Front Immunol. 2018. https:\/\/doi.org\/10.3389\/fimmu.2018.02683.","journal-title":"Front Immunol"},{"key":"672_CR32","doi-asserted-by":"publisher","DOI":"10.1155\/2017\/8737649","author":"A Izzo","year":"2017","unstructured":"Izzo A, Manco R, de Cristofaro T, et al. Overexpression of chromosome 21 miRNAs may affect mitochondrial function in the hearts of Down syndrome fetuses. Int J Genomics. 2017. https:\/\/doi.org\/10.1155\/2017\/8737649.","journal-title":"Int J Genomics"},{"key":"672_CR33","doi-asserted-by":"publisher","DOI":"10.1016\/j.gene.2013.07.055","author":"Y Xu","year":"2013","unstructured":"Xu Y, Li W, Liu X, et al. Identification of dysregulated microRNAs in lymphocytes from children with Down syndrome. Gene. 2013. https:\/\/doi.org\/10.1016\/j.gene.2013.07.055.","journal-title":"Gene"},{"key":"672_CR34","doi-asserted-by":"publisher","DOI":"10.3892\/ijmm.2013.1499","author":"Y Xu","year":"2013","unstructured":"Xu Y, Li W, Liu X, Ma H, Tu Z, Dai Y. Analysis of microRNA expression profile by small RNA sequencing in Down syndrome fetuses. Int J Mol Med. 2013. https:\/\/doi.org\/10.3892\/ijmm.2013.1499.","journal-title":"Int J Mol Med"},{"key":"672_CR35","doi-asserted-by":"publisher","DOI":"10.18632\/oncotarget.7120","author":"CA Moreira-Filho","year":"2016","unstructured":"Moreira-Filho CA, Bando SY, Bertonha FB, et al. Modular transcriptional repertoire and MicroRNA target analyses characterize genomic dysregulation in the thymus of Down syndrome infants. Oncotarget. 2016. https:\/\/doi.org\/10.18632\/oncotarget.7120.","journal-title":"Oncotarget"},{"key":"672_CR36","doi-asserted-by":"publisher","DOI":"10.1186\/s12929-016-0265-0","author":"WL Shi","year":"2016","unstructured":"Shi WL, Liu ZZ, Wang HD, et al. Integrated miRNA and mRNA expression profiling in fetal hippocampus with Down syndrome. J Biomed Sci. 2016. https:\/\/doi.org\/10.1186\/s12929-016-0265-0.","journal-title":"J Biomed Sci"},{"key":"672_CR37","doi-asserted-by":"publisher","DOI":"10.3892\/mmr.2016.5775","author":"H Lin","year":"2016","unstructured":"Lin H, Sui W, Li W, et al. Integrated microRNA and protein expression analysis reveals novel microRNA regulation of targets in fetal down syndrome. Mol Med Rep. 2016. https:\/\/doi.org\/10.3892\/mmr.2016.5775.","journal-title":"Mol Med Rep"},{"key":"672_CR38","doi-asserted-by":"publisher","DOI":"10.3892\/ijmm.2019.4158","author":"A Salvi","year":"2019","unstructured":"Salvi A, Vezzoli M, Busatto S, et al. Analysis of a nanoparticle-enriched fraction of plasma reveals miRNA candidates for Down syndrome pathogenesis. Int J Mol Med. 2019. https:\/\/doi.org\/10.3892\/ijmm.2019.4158.","journal-title":"Int J Mol Med"},{"key":"672_CR39","doi-asserted-by":"publisher","DOI":"10.1182\/blood-2014-06-581892","author":"L Shaham","year":"2015","unstructured":"Shaham L, Vendramini E, Ge Y, et al. MicroRNA-486-5p is an erythroid oncomiR of the myeloid leukemias of Down syndrome. Blood. 2015. https:\/\/doi.org\/10.1182\/blood-2014-06-581892.","journal-title":"Blood"},{"key":"672_CR40","doi-asserted-by":"publisher","DOI":"10.2174\/1567205014666170706112701","author":"A Arena","year":"2017","unstructured":"Arena A, Iyer AM, Milenkovic I, et al. Developmental expression and dysregulation of miR-146a and miR-155 in Down\u2019s syndrome and mouse models of Down\u2019s syndrome and Alzheimer\u2019s disease. Curr Alzheimer Res. 2017. https:\/\/doi.org\/10.2174\/1567205014666170706112701.","journal-title":"Curr Alzheimer Res"},{"key":"672_CR41","doi-asserted-by":"publisher","DOI":"10.1007\/s13577-021-00602-3","author":"M Salemi","year":"2021","unstructured":"Salemi M, Cannarella R, Marchese G, et al. Role of long non-coding RNAs in Down syndrome patients: a transcriptome analysis study. Hum Cell. 2021. https:\/\/doi.org\/10.1007\/s13577-021-00602-3.","journal-title":"Hum Cell"},{"key":"672_CR42","doi-asserted-by":"publisher","DOI":"10.1016\/j.celrep.2020.107795","author":"CM Lopes-Ramos","year":"2020","unstructured":"Lopes-Ramos CM, Chen CY, Kuijjer ML, et al. Sex differences in gene expression and regulatory networks across 29 human tissues. Cell Rep. 2020. https:\/\/doi.org\/10.1016\/j.celrep.2020.107795.","journal-title":"Cell Rep"},{"key":"672_CR43","doi-asserted-by":"publisher","DOI":"10.1126\/science.aba3066","author":"M Oliva","year":"2020","unstructured":"Oliva M, Mu\u00f1oz-Aguirre M, Kim-Hellmuth S, et al. The impact of sex on gene expression across human tissues. Science. 2020. https:\/\/doi.org\/10.1126\/science.aba3066.","journal-title":"Science"},{"key":"672_CR44","doi-asserted-by":"publisher","DOI":"10.1016\/j.gpb.2018.03.004","author":"C Cui","year":"2018","unstructured":"Cui C, Yang W, Shi J, et al. Identification and analysis of human sex-biased MicroRNAs. Genomics Proteomics Bioinform. 2018. https:\/\/doi.org\/10.1016\/j.gpb.2018.03.004.","journal-title":"Genomics Proteomics Bioinform"},{"key":"672_CR45","doi-asserted-by":"publisher","DOI":"10.1080\/08830185.2017.1380200","author":"MK Vidya","year":"2018","unstructured":"Vidya MK, Kumar VG, Sejian V, Bagath M, Krishnan G, Bhatta R. Toll-like receptors: significance, ligands, signaling pathways, and functions in mammals. Int Rev Immunol. 2018. https:\/\/doi.org\/10.1080\/08830185.2017.1380200.","journal-title":"Int Rev Immunol"},{"key":"672_CR46","doi-asserted-by":"publisher","DOI":"10.1155\/2019\/4068734","author":"D Huggard","year":"2019","unstructured":"Huggard D, Koay WJ, Kelly L, et al. Altered toll-like receptor signalling in children with Down syndrome. Mediators Inflamm. 2019. https:\/\/doi.org\/10.1155\/2019\/4068734.","journal-title":"Mediators Inflamm"},{"key":"672_CR47","doi-asserted-by":"publisher","DOI":"10.1101\/cshperspect.a022236","author":"S Sanjabi","year":"2017","unstructured":"Sanjabi S, Oh SA, Li MO. Regulation of the immune response by TGF-\u03b2: from conception to autoimmunity and infection. Cold Spring Harb Perspect Biol. 2017. https:\/\/doi.org\/10.1101\/cshperspect.a022236.","journal-title":"Cold Spring Harb Perspect Biol"},{"key":"672_CR48","doi-asserted-by":"publisher","DOI":"10.1620\/tjem.240.1","author":"H Maeda","year":"2016","unstructured":"Maeda H, Go H, Imamura T, Sato M, Momoi N, Hosoya M. Plasma TGF-\u03b21 levels are elevated in Down syndrome infants with transient abnormal myelopoiesis. Tohoku J Exp Med. 2016. https:\/\/doi.org\/10.1620\/tjem.240.1.","journal-title":"Tohoku J Exp Med"},{"key":"672_CR49","doi-asserted-by":"publisher","DOI":"10.1111\/j.8755-8920.2000.440403.x","author":"SJ Bromage","year":"2000","unstructured":"Bromage SJ, Lang AK, Atkinson I, Searle RF. Abnormal TGFbeta levels in the amniotic fluid of Down syndrome pregnancies. Am J Reprod Immunol. 2000. https:\/\/doi.org\/10.1111\/j.8755-8920.2000.440403.x.","journal-title":"Am J Reprod Immunol"},{"key":"672_CR50","doi-asserted-by":"publisher","DOI":"10.3390\/cells8050398","author":"T Yamauchi","year":"2019","unstructured":"Yamauchi T, Moroishi T. Hippo pathway in mammalian adaptive immune system. Cells. 2019. https:\/\/doi.org\/10.3390\/cells8050398.","journal-title":"Cells"},{"key":"672_CR51","doi-asserted-by":"publisher","DOI":"10.1038\/srep37695","author":"M Boro","year":"2016","unstructured":"Boro M, Singh V, Balaji KN. Mycobacterium tuberculosis-triggered Hippo pathway orchestrates CXCL1\/2 expression to modulate host immune responses. Sci Rep. 2016. https:\/\/doi.org\/10.1038\/srep37695.","journal-title":"Sci Rep"},{"key":"672_CR52","doi-asserted-by":"publisher","DOI":"10.3389\/fimmu.2020.00323","author":"S Wang","year":"2020","unstructured":"Wang S, Zhou L, Ling L, et al. The crosstalk between hippo-YAP pathway and innate immunity. Front Immunol. 2020. https:\/\/doi.org\/10.3389\/fimmu.2020.00323.","journal-title":"Front Immunol"},{"key":"672_CR53","doi-asserted-by":"publisher","DOI":"10.1155\/2018\/1347969","author":"X Zhang","year":"2018","unstructured":"Zhang X, Guo J, Wei X, et al. Bach1: function, regulation, and involvement in disease. Oxid Med Cell Longev. 2018. https:\/\/doi.org\/10.1155\/2018\/1347969.","journal-title":"Oxid Med Cell Longev"},{"key":"672_CR54","doi-asserted-by":"publisher","DOI":"10.1038\/s41467-018-06165-6","author":"M Mandal","year":"2018","unstructured":"Mandal M, Maienschein-Cline M, Maffucci P, et al. BRWD1 orchestrates epigenetic landscape of late B lymphopoiesis. Nat Commun. 2018. https:\/\/doi.org\/10.1038\/s41467-018-06165-6.","journal-title":"Nat Commun"},{"key":"672_CR55","doi-asserted-by":"publisher","DOI":"10.1038\/s41467-020-16828-y","author":"AP Ng","year":"2020","unstructured":"Ng AP, Coughlan HD, Hediyeh-Zadeh S, et al. An Erg-driven transcriptional program controls B cell lymphopoiesis. Nat Commun. 2020. https:\/\/doi.org\/10.1038\/s41467-020-16828-y.","journal-title":"Nat Commun"},{"key":"672_CR56","doi-asserted-by":"publisher","DOI":"10.1016\/j.ebiom.2018.03.019","author":"AK Bhandage","year":"2018","unstructured":"Bhandage AK, Jin Z, Korol SV, et al. GABPA regulates release of inflammatory cytokines from peripheral blood mononuclear cells and CD4+ T cells and is immunosuppressive in type 1 diabetes. EBioMedicine. 2018. https:\/\/doi.org\/10.1016\/j.ebiom.2018.03.019.","journal-title":"EBioMedicine"},{"key":"672_CR57","doi-asserted-by":"publisher","DOI":"10.1182\/bloodadvances.2019000785","author":"DC Bellissimo","year":"2020","unstructured":"Bellissimo DC, Chen CH, Zhu Q, et al. Runx1 negatively regulates inflammatory cytokine production by neutrophils in response to Toll-like receptor signaling. Blood Adv. 2020. https:\/\/doi.org\/10.1182\/bloodadvances.2019000785.","journal-title":"Blood Adv"},{"key":"672_CR58","doi-asserted-by":"publisher","DOI":"10.1155\/2016\/6985903","author":"CR Silva","year":"2016","unstructured":"Silva CR, Biselli-P\u00e9rico JM, Zampieri BL, et al. Differential expression of inflammation-related genes in children with down syndrome. Mediators Inflamm. 2016. https:\/\/doi.org\/10.1155\/2016\/6985903.","journal-title":"Mediators Inflamm"},{"key":"672_CR59","doi-asserted-by":"publisher","DOI":"10.1111\/j.1365-2249.2011.04335.x","author":"G Ram","year":"2011","unstructured":"Ram G, Chinen J. Infections and immunodeficiency in Down syndrome. Clin Exp Immunol. 2011. https:\/\/doi.org\/10.1111\/j.1365-2249.2011.04335.x.","journal-title":"Clin Exp Immunol"},{"key":"672_CR60","doi-asserted-by":"publisher","DOI":"10.1016\/j.celrep.2019.10.038","author":"KA Waugh","year":"2019","unstructured":"Waugh KA, Araya P, Pandey A, et al. Mass cytometry reveals global immune remodeling with multi-lineage hypersensitivity to type i interferon in down syndrome. Cell Rep. 2019. https:\/\/doi.org\/10.1016\/j.celrep.2019.10.038.","journal-title":"Cell Rep"},{"key":"672_CR61","doi-asserted-by":"publisher","DOI":"10.3389\/fimmu.2021.621440","author":"T Illouz","year":"2021","unstructured":"Illouz T, Biragyn A, Iulita MF, et al. Immune dysregulation and the increased risk of complications and mortality following respiratory tract infections in adults with down syndrome. Front Immunol. 2021. https:\/\/doi.org\/10.3389\/fimmu.2021.621440.","journal-title":"Front Immunol"},{"key":"672_CR62","doi-asserted-by":"publisher","DOI":"10.1111\/jar.12446","author":"L O\u2019Leary","year":"2018","unstructured":"O\u2019Leary L, Hughes-McCormack L, Dunn K, Cooper SA. Early death and causes of death of people with Down syndrome: a systematic review. J Appl Res Intellect Disabil. 2018. https:\/\/doi.org\/10.1111\/jar.12446.","journal-title":"J Appl Res Intellect Disabil"},{"key":"672_CR63","doi-asserted-by":"publisher","DOI":"10.1016\/j.dhjo.2020.100947","author":"SD Landes","year":"2020","unstructured":"Landes SD, Stevens JD, Turk MA. Cause of death in adults with Down syndrome in the United States. Disabil Health J. 2020. https:\/\/doi.org\/10.1016\/j.dhjo.2020.100947.","journal-title":"Disabil Health J"},{"key":"672_CR64","doi-asserted-by":"publisher","DOI":"10.1016\/j.xcrm.2020.100019","author":"JM Espinosa","year":"2020","unstructured":"Espinosa JM. Down syndrome and COVID-19: a perfect storm? Cell Rep Med. 2020. https:\/\/doi.org\/10.1016\/j.xcrm.2020.100019.","journal-title":"Cell Rep Med."},{"key":"672_CR65","doi-asserted-by":"publisher","DOI":"10.1038\/s41436-020-01004-w","author":"L Malle","year":"2021","unstructured":"Malle L, Gao C, Hur C, et al. Individuals with Down syndrome hospitalized with COVID-19 have more severe disease. Genet Med. 2021. https:\/\/doi.org\/10.1038\/s41436-020-01004-w.","journal-title":"Genet Med"},{"key":"672_CR66","doi-asserted-by":"publisher","DOI":"10.7326\/M20-4986","author":"AK Clift","year":"2021","unstructured":"Clift AK, Coupland CAC, Keogh RH, Hemingway H, Hippisley-Cox J. COVID-19 mortality risk in Down syndrome: results from a cohort study of 8 million adults. Ann Intern Med. 2021. https:\/\/doi.org\/10.7326\/M20-4986.","journal-title":"Ann Intern Med"},{"key":"672_CR67","doi-asserted-by":"publisher","DOI":"10.1016\/j.eclinm.2021.100769","author":"A H\u00fcls","year":"2021","unstructured":"H\u00fcls A, Costa ACS, Dierssen M, et al. T21RS COVID-19 Initiative. Medical vulnerability of individuals with Down syndrome to severe COVID-19-data from the Trisomy 21 Research Society and the UK ISARIC4C survey. EClinicalMedicine. 2021. https:\/\/doi.org\/10.1016\/j.eclinm.2021.100769.","journal-title":"EClinicalMedicine."},{"key":"672_CR68","doi-asserted-by":"publisher","DOI":"10.1038\/s41598-021-81451-w","author":"I De Toma","year":"2021","unstructured":"De Toma I, Dierssen M. Network analysis of Down syndrome and SARS-CoV-2 identifies risk and protective factors for COVID-19. Sci Rep. 2021. https:\/\/doi.org\/10.1038\/s41598-021-81451-w.","journal-title":"Sci Rep"},{"key":"672_CR69","doi-asserted-by":"publisher","DOI":"10.1038\/onc.2010.34","author":"S Wu","year":"2010","unstructured":"Wu S, Huang S, Ding J, et al. Multiple microRNAs modulate p21Cip1\/Waf1 expression by directly targeting its 3\u2019 untranslated region. Oncogene. 2010. https:\/\/doi.org\/10.1038\/onc.2010.34.","journal-title":"Oncogene"},{"key":"672_CR70","doi-asserted-by":"publisher","DOI":"10.1371\/journal.pgen.1004873","author":"F Zheng","year":"2015","unstructured":"Zheng F, Liao YJ, Cai MY, et al. Systemic delivery of microRNA-101 potently inhibits hepatocellular carcinoma in vivo by repressing multiple targets. PLoS Genet. 2015. https:\/\/doi.org\/10.1371\/journal.pgen.1004873.","journal-title":"PLoS Genet"}],"container-title":["Human Cell"],"original-title":[],"language":"en","link":[{"URL":"https:\/\/link.springer.com\/content\/pdf\/10.1007\/s13577-022-00672-x.pdf","content-type":"application\/pdf","content-version":"vor","intended-application":"text-mining"},{"URL":"https:\/\/link.springer.com\/article\/10.1007\/s13577-022-00672-x\/fulltext.html","content-type":"text\/html","content-version":"vor","intended-application":"text-mining"},{"URL":"https:\/\/link.springer.com\/content\/pdf\/10.1007\/s13577-022-00672-x.pdf","content-type":"application\/pdf","content-version":"vor","intended-application":"similarity-checking"}],"deposited":{"date-parts":[[2025,4,8]],"date-time":"2025-04-08T23:23:59Z","timestamp":1744154639000},"score":1,"resource":{"primary":{"URL":"https:\/\/link.springer.com\/10.1007\/s13577-022-00672-x"}},"subtitle":[],"short-title":[],"issued":{"date-parts":[[2022,1,20]]},"references-count":70,"journal-issue":{"issue":"2","published-online":{"date-parts":[[2022,3]]}},"alternative-id":["672"],"URL":"https:\/\/doi.org\/10.1007\/s13577-022-00672-x","relation":{},"ISSN":["1749-0774"],"issn-type":[{"value":"1749-0774","type":"electronic"}],"subject":[],"published":{"date-parts":[[2022,1,20]]},"assertion":[{"value":"1 October 2021","order":1,"name":"received","label":"Received","group":{"name":"ArticleHistory","label":"Article History"}},{"value":"9 January 2022","order":2,"name":"accepted","label":"Accepted","group":{"name":"ArticleHistory","label":"Article History"}},{"value":"20 January 2022","order":3,"name":"first_online","label":"First Online","group":{"name":"ArticleHistory","label":"Article History"}},{"order":1,"name":"Ethics","group":{"name":"EthicsHeading","label":"Declarations"}},{"value":"The authors declare that they have no conflict of interest.","order":2,"name":"Ethics","group":{"name":"EthicsHeading","label":"Conflict of interest"}},{"value":"The study protocol was approved by the Research Ethics Committee of Sao Jos\u00e9 do Rio Preto Medical School (CEP-FAMERP, protocol 3340\/2004 and CAAE number: 88278218.4.0000.5415), in Sao Paulo State, Brazil, and was in accordance with the Declaration of Helsinki ethical principles for medical research involving human subjects, as well as the Brazilian ethical guidelines for research involving human participants (National Health Council, Resolution 466\/2012 and Resolution 510\/2016).","order":3,"name":"Ethics","group":{"name":"EthicsHeading","label":"Ethical approval"}},{"value":"Written informed consent was obtained from parents\/legal guardians of all children included in the study.","order":4,"name":"Ethics","group":{"name":"EthicsHeading","label":"Informed consent"}}]}}