Skip to main content
Top
Published in: Respiratory Research 1/2022

Open Access 01-12-2022 | Research

Association of childhood BMI trajectory with post-adolescent and adult lung function is mediated by pre-adolescent DNA methylation

Authors: Rutu Rathod, Hongmei Zhang, Wilfried Karmaus, Susan Ewart, Fawaz Mzayek, S. Hasan Arshad, John W. Holloway

Published in: Respiratory Research | Issue 1/2022

Login to get access

Abstract

Background

Body mass index (BMI) has been shown to be associated with lung function. Recent findings showed that DNA methylation (DNAm) variation is likely to be a consequence of changes in BMI. However, whether DNAm mediates the association of BMI with lung function is unknown. We examined the mediating role of DNAm on the association of pre-adolescent BMI trajectories with post-adolescent and adulthood lung function (forced expiratory volume (FEV1), forced vital capacity (FVC), and FEV1/FVC).

Methods

Analyses were undertaken in the Isle of Wight birth cohort (IOWBC). Group-based trajectory modelling was applied to infer latent BMI trajectories from age 1 to 10 years. An R package, ttscreening, was applied to identify CpGs at 10 years potentially associated with BMI trajectories for each sex. Linear regressions were implemented to further screen CpGs for their association with lung function at 18 years. Path analysis, stratified by sex, was applied to each screened CpG to assess its role of mediation. Internal validation was applied to further examine the mediation consistency of the detected CpGs based on lung function at 26 years. Mendelian randomization (MR-base) was used to test possible causal effects of the identified CpGs.

Results

Two BMI trajectories (high vs. low) were identified. Of the 442,475 CpG sites, 18 CpGs in males and 33 in females passed screening. Eight CpGs in males and 16 CpGs in females (none overlapping) were identified as mediators. For subjects with high BMI trajectory, high DNAm at all CpGs in males were associated with decreased lung function, while 8 CpGs in females were associated with increased lung function at 18 years. At 26 years, 6 CpGs in males and 14 CpGs in females showed the same direction of indirect effects as those at 18 years. DNAm at CpGs cg19088553 (GRIK2) and cg00612625 (HPSE2) showed a potential causal effect on FEV1.

Conclusions

The effects of BMI trajectory in early childhood on post-adolescence lung function were likely to be mediated by pre-adolescence DNAm in both males and females, but such mediation effects were likely to diminish over time.
Appendix
Available only for authorised users
Literature
1.
go back to reference Kumar S, Kelly AS. Review of childhood obesity: from epidemiology, etiology, and comorbidities to clinical assessment and treatment. Mayo Clin Proc. 2017;92(2):251–65.PubMedCrossRef Kumar S, Kelly AS. Review of childhood obesity: from epidemiology, etiology, and comorbidities to clinical assessment and treatment. Mayo Clin Proc. 2017;92(2):251–65.PubMedCrossRef
3.
go back to reference Mitchell NS, et al. Obesity: overview of an epidemic. Psychiatr Clin N Am. 2011;34(4):717–32.CrossRef Mitchell NS, et al. Obesity: overview of an epidemic. Psychiatr Clin N Am. 2011;34(4):717–32.CrossRef
5.
go back to reference Rathod A, et al. Interweaving between genetic and epigenetic studies on childhood asthma. Epigenet Insights. 2020;13:2516865720923395.PubMedPubMedCentral Rathod A, et al. Interweaving between genetic and epigenetic studies on childhood asthma. Epigenet Insights. 2020;13:2516865720923395.PubMedPubMedCentral
6.
8.
go back to reference Peralta GP, et al. Body mass index and weight change are associated with adult lung function trajectories: the prospective ECRHS study. Thorax. 2020;75(4):313–20.PubMedCrossRef Peralta GP, et al. Body mass index and weight change are associated with adult lung function trajectories: the prospective ECRHS study. Thorax. 2020;75(4):313–20.PubMedCrossRef
15.
go back to reference Durham AL, Adcock IM. Basic science: epigenetic programming and the respiratory system. Breathe. 2013;9(4):278.CrossRef Durham AL, Adcock IM. Basic science: epigenetic programming and the respiratory system. Breathe. 2013;9(4):278.CrossRef
16.
go back to reference Joubert BR, et al. DNA methylation in newborns and maternal smoking in pregnancy: genome-wide consortium meta-analysis. Am J Hum Genet. 2016;98(4):680–96.PubMedPubMedCentralCrossRef Joubert BR, et al. DNA methylation in newborns and maternal smoking in pregnancy: genome-wide consortium meta-analysis. Am J Hum Genet. 2016;98(4):680–96.PubMedPubMedCentralCrossRef
17.
go back to reference Joubert BR, et al. 450K epigenome-wide scan identifies differential DNA methylation in newborns related to maternal smoking during pregnancy. Environ Health Perspect. 2012;120(10):1425–31.PubMedPubMedCentralCrossRef Joubert BR, et al. 450K epigenome-wide scan identifies differential DNA methylation in newborns related to maternal smoking during pregnancy. Environ Health Perspect. 2012;120(10):1425–31.PubMedPubMedCentralCrossRef
18.
go back to reference Dick KJ, et al. DNA methylation and body-mass index: a genome-wide analysis. Lancet. 2014;383(9933):1990–8.PubMedCrossRef Dick KJ, et al. DNA methylation and body-mass index: a genome-wide analysis. Lancet. 2014;383(9933):1990–8.PubMedCrossRef
19.
go back to reference Mendelson MM, et al. Association of body mass index with DNA methylation and gene expression in blood cells and relations to cardiometabolic disease: a mendelian randomization approach. PLoS Med. 2017;14(1): e1002215.PubMedPubMedCentralCrossRef Mendelson MM, et al. Association of body mass index with DNA methylation and gene expression in blood cells and relations to cardiometabolic disease: a mendelian randomization approach. PLoS Med. 2017;14(1): e1002215.PubMedPubMedCentralCrossRef
20.
go back to reference Milagro FI, et al. A dual epigenomic approach for the search of obesity biomarkers: DNA methylation in relation to diet-induced weight loss. FASEB J. 2011;25(4):1378–89.PubMedCrossRef Milagro FI, et al. A dual epigenomic approach for the search of obesity biomarkers: DNA methylation in relation to diet-induced weight loss. FASEB J. 2011;25(4):1378–89.PubMedCrossRef
21.
go back to reference Sayols-Baixeras S, et al. DNA methylation and obesity traits: An epigenome-wide association study. The REGICOR study. Epigenetics. 2017;12(10):909–16.PubMedPubMedCentralCrossRef Sayols-Baixeras S, et al. DNA methylation and obesity traits: An epigenome-wide association study. The REGICOR study. Epigenetics. 2017;12(10):909–16.PubMedPubMedCentralCrossRef
23.
go back to reference Ding X, et al. Genome-wide screen of DNA methylation identifies novel markers in childhood obesity. Gene. 2015;566(1):74–83.PubMedCrossRef Ding X, et al. Genome-wide screen of DNA methylation identifies novel markers in childhood obesity. Gene. 2015;566(1):74–83.PubMedCrossRef
24.
go back to reference Huang RC, et al. Genome-wide methylation analysis identifies differentially methylated CpG loci associated with severe obesity in childhood. Epigenetics. 2015;10(11):995–1005.PubMedPubMedCentralCrossRef Huang RC, et al. Genome-wide methylation analysis identifies differentially methylated CpG loci associated with severe obesity in childhood. Epigenetics. 2015;10(11):995–1005.PubMedPubMedCentralCrossRef
25.
go back to reference He F, et al. Association between DNA methylation in obesity-related genes and body mass index percentile in adolescents. Sci Rep. 2019;9(1):2079–2079.PubMedPubMedCentralCrossRef He F, et al. Association between DNA methylation in obesity-related genes and body mass index percentile in adolescents. Sci Rep. 2019;9(1):2079–2079.PubMedPubMedCentralCrossRef
26.
go back to reference Machin M, et al. Systematic review of lung function and COPD with peripheral blood DNA methylation in population based studies. BMC Pulm Med. 2017;17(1):54–54.PubMedPubMedCentralCrossRef Machin M, et al. Systematic review of lung function and COPD with peripheral blood DNA methylation in population based studies. BMC Pulm Med. 2017;17(1):54–54.PubMedPubMedCentralCrossRef
27.
30.
go back to reference Wahl S, et al. Epigenome-wide association study of body mass index, and the adverse outcomes of adiposity. Nature. 2017;541(7635):81–6.PubMedCrossRef Wahl S, et al. Epigenome-wide association study of body mass index, and the adverse outcomes of adiposity. Nature. 2017;541(7635):81–6.PubMedCrossRef
31.
go back to reference Reed ZE, et al. The association of DNA methylation with body mass index: distinguishing between predictors and biomarkers. Clin Epigenetics. 2020;12(1):50.PubMedPubMedCentralCrossRef Reed ZE, et al. The association of DNA methylation with body mass index: distinguishing between predictors and biomarkers. Clin Epigenetics. 2020;12(1):50.PubMedPubMedCentralCrossRef
34.
go back to reference Standardization of Spirometry, 1994 Update. American Thoracic Society. Am J Respir Crit Care Med, 1995. 152(3): 1107–36. Standardization of Spirometry, 1994 Update. American Thoracic Society. Am J Respir Crit Care Med, 1995. 152(3): 1107–36.
35.
go back to reference Ogbuanu IU, et al. Effect of breastfeeding duration on lung function at age 10 years: a prospective birth cohort study. Thorax. 2009;64(1):62.PubMedCrossRef Ogbuanu IU, et al. Effect of breastfeeding duration on lung function at age 10 years: a prospective birth cohort study. Thorax. 2009;64(1):62.PubMedCrossRef
36.
go back to reference Patel, R., et al., Sex-specific associations of asthma acquisition with changes in DNA methylation during adolescence. Clin Exp Allergy, 2020. Patel, R., et al., Sex-specific associations of asthma acquisition with changes in DNA methylation during adolescence. Clin Exp Allergy, 2020.
37.
39.
go back to reference Rathod R, et al. BMI trajectory in childhood is associated with asthma incidence at young adulthood mediated by DNA methylation. Allergy Asthma Clin Immunol. 2021;17(1):77.PubMedPubMedCentralCrossRef Rathod R, et al. BMI trajectory in childhood is associated with asthma incidence at young adulthood mediated by DNA methylation. Allergy Asthma Clin Immunol. 2021;17(1):77.PubMedPubMedCentralCrossRef
40.
go back to reference Lehne B, et al. A coherent approach for analysis of the Illumina HumanMethylation450 BeadChip improves data quality and performance in epigenome-wide association studies. Genome Biol. 2015;16:37.PubMedPubMedCentralCrossRef Lehne B, et al. A coherent approach for analysis of the Illumina HumanMethylation450 BeadChip improves data quality and performance in epigenome-wide association studies. Genome Biol. 2015;16:37.PubMedPubMedCentralCrossRef
41.
go back to reference Aryee MJ, et al. Minfi: a flexible and comprehensive bioconductor package for the analysis of Infinium DNA methylation microarrays. Bioinformatics. 2014;30(10):1363–9.PubMedPubMedCentralCrossRef Aryee MJ, et al. Minfi: a flexible and comprehensive bioconductor package for the analysis of Infinium DNA methylation microarrays. Bioinformatics. 2014;30(10):1363–9.PubMedPubMedCentralCrossRef
42.
go back to reference Du P, et al. Comparison of beta-value and M-value methods for quantifying methylation levels by microarray analysis. BMC Bioinform. 2010;11:587.CrossRef Du P, et al. Comparison of beta-value and M-value methods for quantifying methylation levels by microarray analysis. BMC Bioinform. 2010;11:587.CrossRef
43.
go back to reference Reinius LE, et al. Differential DNA methylation in purified human blood cells: implications for cell lineage and studies on disease susceptibility. PLoS ONE. 2012;7(7): e41361.PubMedPubMedCentralCrossRef Reinius LE, et al. Differential DNA methylation in purified human blood cells: implications for cell lineage and studies on disease susceptibility. PLoS ONE. 2012;7(7): e41361.PubMedPubMedCentralCrossRef
44.
go back to reference Koestler DC, et al. Blood-based profiles of DNA methylation predict the underlying distribution of cell types: a validation analysis. Epigenetics. 2013;8(8):816–26.PubMedPubMedCentralCrossRef Koestler DC, et al. Blood-based profiles of DNA methylation predict the underlying distribution of cell types: a validation analysis. Epigenetics. 2013;8(8):816–26.PubMedPubMedCentralCrossRef
45.
46.
go back to reference Houseman EA, et al. DNA methylation arrays as surrogate measures of cell mixture distribution. BMC Bioinform. 2012;13:86.CrossRef Houseman EA, et al. DNA methylation arrays as surrogate measures of cell mixture distribution. BMC Bioinform. 2012;13:86.CrossRef
49.
go back to reference Anders S, Pyl PT, Huber W. HTSeq–a Python framework to work with high-throughput sequencing data. Bioinformatics. 2015;31(2):166–9.PubMedCrossRef Anders S, Pyl PT, Huber W. HTSeq–a Python framework to work with high-throughput sequencing data. Bioinformatics. 2015;31(2):166–9.PubMedCrossRef
50.
go back to reference Nagin DS. Analyzing developmental trajectories: a semiparametric, group-based approach. Psychol Methods. 1999;4(2):139–57.CrossRef Nagin DS. Analyzing developmental trajectories: a semiparametric, group-based approach. Psychol Methods. 1999;4(2):139–57.CrossRef
51.
go back to reference Nagin DS, Odgers CL. Group-based trajectory modeling in clinical research. Annu Rev Clin Psychol. 2010;6:109–38.PubMedCrossRef Nagin DS, Odgers CL. Group-based trajectory modeling in clinical research. Annu Rev Clin Psychol. 2010;6:109–38.PubMedCrossRef
52.
go back to reference Jones BL, Nagin DS, Roeder K. A SAS procedure based on mixture models for estimating developmental trajectories. Sociol Methods Res. 2001;29(3):374–93.CrossRef Jones BL, Nagin DS, Roeder K. A SAS procedure based on mixture models for estimating developmental trajectories. Sociol Methods Res. 2001;29(3):374–93.CrossRef
55.
go back to reference Hu LT, Bentler PM. Cutoff criteria for fit indexes in covariance structure analysis: Conventional criteria versus new alternatives. Struct Equ Model. 1999;6(1):1–55.CrossRef Hu LT, Bentler PM. Cutoff criteria for fit indexes in covariance structure analysis: Conventional criteria versus new alternatives. Struct Equ Model. 1999;6(1):1–55.CrossRef
56.
go back to reference Hallquist MN, Wiley JF. MplusAutomation: an R package for facilitating large-scale latent variable analyses in Mplus. Struct Equ Modeling. 2018;25(4):621–38.PubMedPubMedCentralCrossRef Hallquist MN, Wiley JF. MplusAutomation: an R package for facilitating large-scale latent variable analyses in Mplus. Struct Equ Modeling. 2018;25(4):621–38.PubMedPubMedCentralCrossRef
57.
go back to reference Relton CL, Davey Smith G. Two-step epigenetic Mendelian randomization: a strategy for establishing the causal role of epigenetic processes in pathways to disease. Int J Epidemiol. 2012;41(1):161–76.PubMedPubMedCentralCrossRef Relton CL, Davey Smith G. Two-step epigenetic Mendelian randomization: a strategy for establishing the causal role of epigenetic processes in pathways to disease. Int J Epidemiol. 2012;41(1):161–76.PubMedPubMedCentralCrossRef
58.
go back to reference Hemani G, et al. The MR-Base platform supports systematic causal inference across the human phenome. Elife. 2018;7:1–8.CrossRef Hemani G, et al. The MR-Base platform supports systematic causal inference across the human phenome. Elife. 2018;7:1–8.CrossRef
60.
go back to reference Revez JNMA. The role of the interleukin-6 pathway in asthma, in School of Medicine. 2018, The University of Queensland. p. 241. Revez JNMA. The role of the interleukin-6 pathway in asthma, in School of Medicine. 2018, The University of Queensland. p. 241.
62.
63.
go back to reference Morrow JD, et al. Human lung DNA methylation quantitative trait loci colocalize with chronic obstructive pulmonary disease genome-wide association loci. Am J Respir Crit Care Med. 2018;197(10):1275–84.PubMedPubMedCentralCrossRef Morrow JD, et al. Human lung DNA methylation quantitative trait loci colocalize with chronic obstructive pulmonary disease genome-wide association loci. Am J Respir Crit Care Med. 2018;197(10):1275–84.PubMedPubMedCentralCrossRef
64.
go back to reference Spira A, et al. Gene expression profiling of human lung tissue from smokers with severe emphysema. Am J Respir Cell Mol Biol. 2004;31(6):601–10.PubMedCrossRef Spira A, et al. Gene expression profiling of human lung tissue from smokers with severe emphysema. Am J Respir Cell Mol Biol. 2004;31(6):601–10.PubMedCrossRef
66.
go back to reference Clifford RL, et al. Altered DNA methylation is associated with aberrant gene expression in parenchymal but not airway fibroblasts isolated from individuals with COPD. Clin Epigenetics. 2018;10:32.PubMedPubMedCentralCrossRef Clifford RL, et al. Altered DNA methylation is associated with aberrant gene expression in parenchymal but not airway fibroblasts isolated from individuals with COPD. Clin Epigenetics. 2018;10:32.PubMedPubMedCentralCrossRef
68.
go back to reference March ME, Sleiman PM, Hakonarson H. Genome-wide association studies in asthma: progress and pitfalls. Adv Genomics Genet. 2015;5:107–19. March ME, Sleiman PM, Hakonarson H. Genome-wide association studies in asthma: progress and pitfalls. Adv Genomics Genet. 2015;5:107–19.
70.
go back to reference Ziyab AH, et al. Developmental trajectories of Body Mass Index from infancy to 18 years of age: prenatal determinants and health consequences. J Epidemiol Community Health. 2014;68(10):934–41.PubMedCrossRef Ziyab AH, et al. Developmental trajectories of Body Mass Index from infancy to 18 years of age: prenatal determinants and health consequences. J Epidemiol Community Health. 2014;68(10):934–41.PubMedCrossRef
71.
72.
go back to reference Stueve TR, et al. Epigenome-wide analysis of DNA methylation in lung tissue shows concordance with blood studies and identifies tobacco smoke-inducible enhancers. Hum Mol Genet. 2017;26(15):3014–27.PubMedPubMedCentralCrossRef Stueve TR, et al. Epigenome-wide analysis of DNA methylation in lung tissue shows concordance with blood studies and identifies tobacco smoke-inducible enhancers. Hum Mol Genet. 2017;26(15):3014–27.PubMedPubMedCentralCrossRef
Metadata
Title
Association of childhood BMI trajectory with post-adolescent and adult lung function is mediated by pre-adolescent DNA methylation
Authors
Rutu Rathod
Hongmei Zhang
Wilfried Karmaus
Susan Ewart
Fawaz Mzayek
S. Hasan Arshad
John W. Holloway
Publication date
01-12-2022
Publisher
BioMed Central
Published in
Respiratory Research / Issue 1/2022
Electronic ISSN: 1465-993X
DOI
https://doi.org/10.1186/s12931-022-02089-4

Other articles of this Issue 1/2022

Respiratory Research 1/2022 Go to the issue
Live Webinar | 27-06-2024 | 18:00 (CEST)

Keynote webinar | Spotlight on medication adherence

Live: Thursday 27th June 2024, 18:00-19:30 (CEST)

WHO estimates that half of all patients worldwide are non-adherent to their prescribed medication. The consequences of poor adherence can be catastrophic, on both the individual and population level.

Join our expert panel to discover why you need to understand the drivers of non-adherence in your patients, and how you can optimize medication adherence in your clinics to drastically improve patient outcomes.

Prof. Kevin Dolgin
Prof. Florian Limbourg
Prof. Anoop Chauhan
Developed by: Springer Medicine
Obesity Clinical Trial Summary

At a glance: The STEP trials

A round-up of the STEP phase 3 clinical trials evaluating semaglutide for weight loss in people with overweight or obesity.

Developed by: Springer Medicine