Impact of methyl-donor micronutrient supplementation on DNA methylation patterns: A systematic review and meta-analysis of in vitro, animal and human studies
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Citações na Scopus
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Tipo de produção
article
Data de publicação
2023
Título da Revista
ISSN da Revista
Título do Volume
Editora
KARGER
Autores
MOTA, Jhulia Caroline da
RIBEIRO, Amanda A.
CARVALHO, Lucas M.
ESTEVES, Gabriel P.
SIECZKOWSKA, Sofia M.
GOESSLER, Karla F.
GUALANO, Bruno
Citação
LIFESTYLE GENOMICS, v.16, n.1, p.192-213, 2023
Resumo
Background: DNA methylation patterns are directly associated with diverse metabolic disorders. The status of methyl-donor micronutrients has been associated with DNA methylation levels, and altered ingestion of folate, choline, betaine, B vitamins and methionine may impact genes both globally and at the level of promoter regions. Despite this, the role of methyl-donor micronutrient supplementation on DNA methylation profiles is currently unclear. Objectives: The aims of this systematic review and meta-analysis were to identify and synthesize the evidence about methyl-donor nutrients supplementation on DNA methylation profile. Methods: A systematic literature search was performed in MEDLINE, EMBASE, SCOPUS and Web of Sciences databases with a combination of terms related to DNA methylation assessment, supplementation and methyl-donor nutrients. Studies (in vitro, animal models or human clinical trials) were included if DNA methylation levels after any kind of methyl-donor micronutrient supplementation or treatment was investigated. Studies were assessed for bias using Revised Cochrane risk-of-bias tool for randomized trials, Risk Of Bias in Non-randomized Studies of Interventions or Systematic Review Centre for Laboratory Animal Experimentation tools. Data was extracted from studies measuring DNA methylation level in any sample or tissue, following any kind of methyl-donor micronutrient supplementation or treatment. Separate random-effects meta-analyses were performed for animal model studies and human clinical trials, which examined the effects of folic acid supplementation on DNA methylation. Results: Fifty-seven studies were included in the systematic review: 18 human clinical trials, 35 in animal model and 4 in vitro studies. Concerning overall risk of bias, most of the studies were classified as ""high risk"" or ""some concerns"". Meta-analysis with meta-regression from studies in animal models showed that folic acid dose significantly affected DNA methylation and that high and very high dose showed increases in DNA methylation when compared to low doses. However, meta-analysis from human clinical trials showed that folic acid supplementation did not promote significant changes in DNA methylation when compared to placebo. Conclusion: Folic acid supplementation may change global DNA methylation levels in animals supplemented with high, as compared to low, doses. Heterogeneity in studies and supplementation protocols make it difficult to establish clinical recommendations. However, these effects, even if small, might be of clinical importance in the management of patients with diseases related to DNA hypomethylation.
Palavras-chave
DNA methylation, epigenetics, supplementation, folic acid, B vitamins
Referências
- Aarabi M, 2015, HUM MOL GENET, V24, P6301, DOI 10.1093/hmg/ddv338
- Agodi A, 2015, GENES NUTR, V10, DOI 10.1007/s12263-015-0480-4
- Alegra-Torres JA, 2011, EPIGENOMICS-UK, V3, P267, DOI [10.2217/EPI.11.22, 10.2217/epi.11.22]
- An Y, 2019, CLIN EPIGENETICS, V11, DOI 10.1186/s13148-019-0741-y
- Anderson OS, 2012, J NUTR BIOCHEM, V23, P853, DOI 10.1016/j.jnutbio.2012.03.003
- [Anonymous], 2019, Journal of Open Source Software, V4, DOI [10.21105/joss.01686, DOI 10.21105/JOSS.01686]
- Ba Y, 2011, EUR J CLIN NUTR, V65, P480, DOI 10.1038/ejcn.2010.294
- BALAGHI M, 1993, BIOCHEM BIOPH RES CO, V193, P1184, DOI 10.1006/bbrc.1993.1750
- Barman B, 2021, NEUROCHEM INT, V150, DOI 10.1016/j.neuint.2021.105181
- Barua S, 2016, FRONT NEUROSCI-SWITZ, V10, DOI 10.3389/fnins.2016.00168
- Basten GP, 2006, BRIT J CANCER, V94, P1942, DOI 10.1038/sj.bjc.6603197
- Batra V, 2014, FOOD CHEM TOXICOL, V69, P46, DOI 10.1016/j.fct.2014.03.040
- Baylin SB, 2011, NAT REV CANCER, V11, P726, DOI 10.1038/nrc3130
- Bekdash RA, 2013, ALCOHOL CLIN EXP RES, V37, P1133, DOI 10.1111/acer.12082
- Berdasco M, 2019, NAT REV GENET, V20, P109, DOI 10.1038/s41576-018-0074-2
- Bull CF, 2014, CANCER PREV RES, V7, P128, DOI 10.1158/1940-6207.CAPR-13-0264
- Caffrey A, 2018, AM J CLIN NUTR, V107, P566, DOI 10.1093/ajcn/nqx069
- Cho CE, 2015, MOL NUTR FOOD RES, V59, P476, DOI 10.1002/mnfr.201400663
- Choi SW, 2005, BRIT J NUTR, V93, P31, DOI 10.1079/BJN20041283
- Chuang JC, 2007, PEDIATR RES, V61, p24R, DOI 10.1203/pdr.0b013e3180457684
- Clare CE, 2019, ANNU REV ANIM BIOSCI, V7, P263, DOI 10.1146/annurev-animal-020518-115206
- Clark DF, 2021, PLOS ONE, V16, DOI 10.1371/journal.pone.0245005
- Cordero P, 2013, GENES NUTR, V8, P105, DOI 10.1007/s12263-012-0300-z
- Cordero P, 2013, MOL GENET METAB, V110, P388, DOI 10.1016/j.ymgme.2013.08.022
- Cravo ML, 1998, CLIN NUTR, V17, P45, DOI 10.1016/S0261-5614(98)80304-X
- Cribari-Neto F, 2010, J STAT SOFTW, V34, P1
- Crider KS, 2011, PLOS ONE, V6, DOI 10.1371/journal.pone.0028144
- Cui SS, 2017, INT J MOL SCI, V18, DOI 10.3390/ijms18050990
- Davison JM, 2009, J BIOL CHEM, V284, P1982, DOI 10.1074/jbc.M807651200
- de Paula BMF, 2022, NUTR METAB, V44, P15, DOI [10.1016/j.nutos.2022.02.002, DOI 10.1016/J.NUTOS.2022.02.002]
- Do Amaral CL, 2011, MUTAT RES-GEN TOX EN, V722, P78, DOI 10.1016/j.mrgentox.2011.03.006
- Ducker GS, 2017, CELL METAB, V25, P27, DOI 10.1016/j.cmet.2016.08.009
- Ellingrod VL, 2015, NPJ SCHIZOPHR, V1, DOI 10.1038/npjschz.2015.46
- Fernández-Castilla B, 2021, J EXP EDUC, V89, P125, DOI 10.1080/00220973.2019.1582470
- Finnell RH, 2002, T HHS WORKSHOP DIET
- Gonda TA, 2012, GASTROENTEROLOGY, V142, P824, DOI 10.1053/j.gastro.2011.12.058
- Harrison A, 2019, ANN HUM GENET, V83, P23, DOI 10.1111/ahg.12281
- Hooijmans CR, 2014, BMC MED RES METHODOL, V14, DOI 10.1186/1471-2288-14-43
- Huang YF, 2014, INT J MOL SCI, V15, P6298, DOI 10.3390/ijms15046298
- Ideraabdullah FY, 2018, PHYSIOL REV, V98, P667, DOI 10.1152/physrev.00010.2017
- Ingrosso D, 2003, LANCET, V361, P1693, DOI 10.1016/S0140-6736(03)13372-7
- Irwin RE, 2019, CLIN EPIGENETICS, V11, DOI 10.1186/s13148-019-0618-0
- Jacob RA, 1998, J NUTR, V128, P1204, DOI 10.1093/jn/128.7.1204
- Johnson IT, 2008, FOOD CHEM TOXICOL, V46, P1346, DOI 10.1016/j.fct.2007.09.101
- Jung AY, 2011, PLOS ONE, V6, DOI 10.1371/journal.pone.0024976
- Kim JM, 2009, J NUTR BIOCHEM, V20, P172, DOI 10.1016/j.jnutbio.2008.01.010
- Kit AH, 2012, BIOCHIMIE, V94, P2314, DOI 10.1016/j.biochi.2012.07.014
- Kok DEG, 2015, CLIN EPIGENETICS, V7, DOI 10.1186/s13148-015-0154-5
- Korsmo HW, 2022, FRONT NUTR, V9, DOI 10.3389/fnut.2022.841787
- KotsopoulosJ SohnKJ, GENOMIC DNA METHYLAT, P1
- Kulkarni A, 2011, PLOS ONE, V6, DOI 10.1371/journal.pone.0017706
- Li W, 2018, J NUTR BIOCHEM, V59, P76, DOI 10.1016/j.jnutbio.2018.05.010
- Li W, 2018, NUTRIENTS, V10, DOI 10.3390/nu10030292
- Li Y, 2018, PHYSIOL GENOMICS, V50, P158, DOI 10.1152/physiolgenomics.00094.2017
- Luan Y, 2021, MOL NUTR FOOD RES, V65, DOI 10.1002/mnfr.202100197
- Ly A, 2016, J NUTR BIOCHEM, V33, P103, DOI 10.1016/j.jnutbio.2016.03.018
- Ly A, 2012, ANTIOXID REDOX SIGN, V17, P302, DOI 10.1089/ars.2012.4554
- Ly L, 2017, MOL HUM REPROD, V23, P461, DOI 10.1093/molehr/gax029
- Lyko F, 2018, NAT REV GENET, V19, P81, DOI 10.1038/nrg.2017.80
- Lyon P, 2020, NUTRIENTS, V12, DOI 10.3390/nu12092867
- Ma BS, 2014, NUCLEIC ACIDS RES, V42, P3515, DOI 10.1093/nar/gkt1380
- Mahajan A, 2021, MOL REPROD DEV, V88, P437, DOI 10.1002/mrd.23477
- Miousse IR, 2017, GENES NUTR, V12, DOI 10.1186/s12263-017-0576-0
- Morris SB, 2008, ORGAN RES METHODS, V11, P364, DOI 10.1177/1094428106291059
- Nash AJ, 2019, FASEB J, V33, P833, DOI 10.1096/fj.201800400R
- Niculescu, DIETARY CHOLINE DEFI
- O'Reilly SL, 2016, J NUTR, V146, P933, DOI 10.3945/jn.115.222547
- Otero NKH, 2012, ALCOHOL CLIN EXP RES, V36, P1701, DOI 10.1111/j.1530-0277.2012.01784.x
- Page MJ, 2021, BMJ-BRIT MED J, V372, DOI [10.1136/bmj.n71, 10.1016/j.jclinepi.2021.03.001, 10.1136/bmj.n160, 10.1016/j.ijsu.2021.105906, 10.1186/s13643-021-01626-4, 10.26633/RPSP.2022.112, 10.1016/j.jclinepi.2021.02.003]
- Pan, 2021, CANCER DISCOV
- Park HJ, 2017, OBES RES CLIN PRACT, V11, P665, DOI 10.1016/j.orcp.2017.06.004
- Partearroyo T, 2010, ANN NUTR METAB, V56, P143, DOI 10.1159/000275963
- Penailillo R, 2015, PLOS ONE, V10, DOI 10.1371/journal.pone.0121098
- Pesqueda-Cendejas K, 2023, INT J MOL SCI, V24, DOI 10.3390/ijms24043171
- Pizzolo F, 2011, J AM COLL NUTR, V30, P11, DOI 10.1080/07315724.2011.10719939
- Pogribny IP, 2009, MUTAT RES-FUND MOL M, V669, P56, DOI 10.1016/j.mrfmmm.2009.05.003
- Price RJ, 2015, NUTR RES, V35, P532, DOI 10.1016/j.nutres.2015.04.009
- Pufulete M, 2005, GUT, V54, P648, DOI 10.1136/gut.2004.054718
- Rahimi S, 2019, HUM REPROD, V34, P851, DOI 10.1093/humrep/dez036
- Rampersaud GC, 2000, AM J CLIN NUTR, V72, P998
- Richmond RC, 2018, INT J EPIDEMIOL, V47, P928, DOI 10.1093/ije/dyy032
- Samblas M, 2019, EPIGENETICS-US, V14, P421, DOI 10.1080/15592294.2019.1595297
- Sie KKY, 2013, MOL NUTR FOOD RES, V57, P677, DOI 10.1002/mnfr.201200186
- Sterne JAC, 2016, BMJ-BRIT MED J, V355, DOI 10.1136/bmj.i4919
- van den Donk M, 2007, J NUTR, V137, P2114, DOI 10.1093/jn/137.9.2114
- Van den Noortgate W., 2015, Behav Res Methods, V47, P1274, DOI 10.3758/S13428-014-0527-2
- van der Kooi EL, 2006, NEUROMUSCULAR DISORD, V16, P766, DOI 10.1016/j.nmd.2006.08.005
- Vordenbäumen S, 2021, LUPUS, V30, P1773, DOI 10.1177/09612033211034559
- Wang XY, 2021, GENES NUTR, V16, DOI 10.1186/s12263-020-00681-1
- Waterland RA, 2006, GENESIS, V44, P401, DOI 10.1002/dvg.20230
- Xue G, 2017, ONCOTARGET, V8, P51387, DOI 10.18632/oncotarget.17988
- Yang S, 2020, J SCI FOOD AGR, V100, P1486, DOI 10.1002/jsfa.10156
- Yang X, 2017, NUTRIENTS, V9, DOI 10.3390/nu9090935
- Zhao NN, 2018, J NUTR BIOCHEM, V54, P105, DOI 10.1016/j.jnutbio.2017.12.003
- Zhao NN, 2017, MOL NUTR FOOD RES, V61, DOI 10.1002/mnfr.201600940