Literature DB >> 31907530

Reply to P-A Dugué et al.

Pooja R Mandaviya1,2, Joyce B J van Meurs1,2, Sandra G Heil1.   

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Year:  2020        PMID: 31907530      PMCID: PMC7171229          DOI: 10.1093/ajcn/nqz254

Source DB:  PubMed          Journal:  Am J Clin Nutr        ISSN: 0002-9165            Impact factor:   7.045


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Dear Editor: Dugué et al. (1) have attempted to replicate our findings of the association of folate and vitamin B-12 intake with differentially methylated positions and differentially methylated regions (DMRs) (2). They used a previously published data set, in which they performed a similar study to investigate associations between one-carbon nutrients (including folate and vitamin B-12) and DNA methylation in peripheral blood, and could not replicate our findings (3). They therefore concluded that there is weak evidence for an association between intake of folate and vitamin B-12 and differences in genome-wide DNA methylation in peripheral blood. We welcome the effort of Dugué et al. and, in general, we agree with the overall conclusion that there is at most weak association between folate and vitamin B-12 intake and circulating DNA methylation levels. Nevertheless, we believe that there are large differences between the study of Dugué et al. and ours, apart from the ones already mentioned by Dugué et al. First, we used whole blood leukocytes to measure DNA methylation, whereas Dugué et al. used either peripheral blood mononuclear cells (PBMCs), buffy coats, or dried blood spots. PBMCs are lymphocytes and monocytes and lack granulocytes. Because DNA methylation patterns greatly vary between different cell types and with varying cell-type proportions (4), the results from Dugué et al.’s study and ours are difficult to directly compare. Second, we conducted our study in population-based cohorts and specifically excluded prevalent cancer of any type. In contrast, the study from Dugué et al. consisted of multiple nested case–control sets including cases with different forms of cancer. We excluded subjects with cancer cases because they potentially change dietary patterns in response to their disease (5) and have different methylation patterns in blood (6–8). Third, to investigate differential methylation, we used the lowest compared with the highest tertiles of dietary intakes, whereas Dugué et al. divided dietary intakes into quintiles and used the lowest compared with the middle three quintiles (to evaluate deficiency) and the highest compared with the middle three quintiles (to evaluate excess). Fourth, a further difference in analysis between Dugué et al.’s study and ours is the fact that we include vitamin supplement use (B-vitamins, multivitamins, or folic acid supplements) as a covariate in both of our continuous and categorical models because this could confound the association between dietary folate or vitamin B-12 and DNA methylation. Dugué et al. did not use this covariate owing to absence of these data. Although only 16% of the Melbourne Collaborative Cohort Study reported using multivitamins, there might still be some impact to their results. Fifth, concerning the replication of the DMRs, Dugué et al. attempted to replicate our identified DMRs by a look-up of the single CpGs of the DMRs. However, to replicate DMRs, they need to be analyzed as a whole region together and, therefore, one can use tools that are specific to finding DMRs in order to replicate a complete region. Lastly, we used the residual method to adjust for total energy intake, whereas Dugué et al. used total energy intake as a covariate in the model (standard multivariate method). In the residual method, total energy intake is adjusted using linear regression with continuous variables before dividing it into categories, whereas in the standard multivariate model, total energy intake is adjusted insufficiently owing to categorical variables and loss of individuals by excluding quantiles, leading to a decrease in power (9). Therefore, the residual method is considered more optimal when using categorical models. We believe that it is worthwhile to replicate our results by using similar analytic approaches, sample types, cohort types (controls without cancer prevalence of any type), and covariates in both studies. However, with all the efforts and evidence we have to date, we agree that there seems to be little association between dietary intake of folate or vitamin B-12 and DNA methylation.
  9 in total

Review 1.  Adjustment for total energy intake in epidemiologic studies.

Authors:  W C Willett; G R Howe; L H Kushi
Journal:  Am J Clin Nutr       Date:  1997-04       Impact factor: 7.045

2.  Overall lack of replication of associations between dietary intake of folate and vitamin B-12 and DNA methylation in peripheral blood.

Authors:  Pierre-Antoine Dugué; James A Chamberlain; Julie K Bassett; Allison M Hodge; Maree T Brinkman; JiHoon E Joo; Chol-Hee Jung; Ee Ming Wong; Enes Makalic; Daniel F Schmidt; John L Hopper; Daniel D Buchanan; Dallas R English; Roger L Milne; Melissa C Southey; Graham G Giles
Journal:  Am J Clin Nutr       Date:  2020-01-01       Impact factor: 7.045

3.  Blood DNA methylation and breast cancer: A prospective case-cohort analysis in the Sister Study.

Authors:  Zongli Xu; Dale P Sandler; Jack A Taylor
Journal:  J Natl Cancer Inst       Date:  2019-04-15       Impact factor: 13.506

4.  Prevalence of malnutrition and current use of nutrition support in patients with cancer.

Authors:  Xavier Hébuterne; Etienne Lemarié; Mauricette Michallet; Claude Beauvillain de Montreuil; Stéphane Michel Schneider; François Goldwasser
Journal:  JPEN J Parenter Enteral Nutr       Date:  2014-02       Impact factor: 4.016

5.  Dietary intake of one-carbon metabolism nutrients and DNA methylation in peripheral blood.

Authors:  James A Chamberlain; Pierre-Antoine Dugué; Julie K Bassett; Allison M Hodge; Maree T Brinkman; JiHoon E Joo; Chol-Hee Jung; Enes Makalic; Daniel F Schmidt; John L Hopper; Daniel D Buchanan; Dallas R English; Melissa C Southey; Graham G Giles; Roger L Milne
Journal:  Am J Clin Nutr       Date:  2018-09-01       Impact factor: 7.045

6.  Association of dietary folate and vitamin B-12 intake with genome-wide DNA methylation in blood: a large-scale epigenome-wide association analysis in 5841 individuals.

Authors:  Pooja R Mandaviya; Roby Joehanes; Jennifer Brody; Juan E Castillo-Fernandez; Koen F Dekkers; Anh N Do; Mariaelisa Graff; Ismo K Hänninen; Toshiko Tanaka; Ester A L de Jonge; Jessica C Kiefte-de Jong; Devin M Absher; Stella Aslibekyan; Yolanda B de Rijke; Myriam Fornage; Dena G Hernandez; Mikko A Hurme; M Arfan Ikram; Paul F Jacques; Anne E Justice; Douglas P Kiel; Rozenn N Lemaitre; Michael M Mendelson; Vera Mikkilä; Ann Z Moore; Tess Pallister; Olli T Raitakari; Casper G Schalkwijk; Jin Sha; Eline P E Slagboom; Caren E Smith; Coen D A Stehouwer; Pei-Chien Tsai; André G Uitterlinden; Carla J H van der Kallen; Diana van Heemst; Donna K Arnett; Stefania Bandinelli; Jordana T Bell; Bastiaan T Heijmans; Terho Lehtimäki; Daniel Levy; Kari E North; Nona Sotoodehnia; Marleen M J van Greevenbroek; Joyce B J van Meurs; Sandra G Heil
Journal:  Am J Clin Nutr       Date:  2019-08-01       Impact factor: 8.472

7.  DNA methylation and associated gene expression in blood prior to lung cancer diagnosis in the Norwegian Women and Cancer cohort.

Authors:  Torkjel Manning Sandanger; Therese Haugdahl Nøst; Florence Guida; Charlotta Rylander; Gianluca Campanella; David C Muller; Jenny van Dongen; Dorret I Boomsma; Mattias Johansson; Paolo Vineis; Roel Vermeulen; Eiliv Lund; Marc Chadeau-Hyam
Journal:  Sci Rep       Date:  2018-11-13       Impact factor: 4.379

8.  Differential DNA methylation in purified human blood cells: implications for cell lineage and studies on disease susceptibility.

Authors:  Lovisa E Reinius; Nathalie Acevedo; Maaike Joerink; Göran Pershagen; Sven-Erik Dahlén; Dario Greco; Cilla Söderhäll; Annika Scheynius; Juha Kere
Journal:  PLoS One       Date:  2012-07-25       Impact factor: 3.240

9.  Blood-based DNA Methylation Biomarkers for Early Detection of Colorectal Cancer.

Authors:  Lixn Dong; Hongmei Ren
Journal:  J Proteomics Bioinform       Date:  2018-06-26
  9 in total

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