scholarly journals Perinatal DEHP exposure induces sex- and tissue-specific DNA methylation changes in both juvenile and adult mice

2021 ◽  
Vol 7 (1) ◽  
Author(s):  
Siyu Liu ◽  
Kai Wang ◽  
Laurie K Svoboda ◽  
Christine A Rygiel ◽  
Kari Neier ◽  
...  
Keyword(s):  
Dna Methylation ◽  
Population Based ◽  
Consumer Products ◽  
Health Concern ◽  
Target Tissue ◽  
Adult Mice ◽  
Epigenetic Biomarkers ◽  
Phthalate Plasticizer ◽  
Surrogate Tissue ◽  
Dehp Exposure

Abstract Di(2-ethylhexyl) phthalate (DEHP) is a type of phthalate plasticizer found in a variety of consumer products and poses a public health concern due to its metabolic and endocrine disruption activities. Dysregulation of epigenetic modifications, including DNA methylation, has been shown to be an important mechanism for the pathogenic effects of prenatal exposures, including phthalates. In this study, we used an established mouse model to study the effect of perinatal DEHP exposure on the DNA methylation profile in liver (a primary target tissue of DEHP) and blood (a common surrogate tissue) of both juvenile and adult mice. Despite exposure ceasing at 3 weeks of age (PND21), we identified thousands of sex-specific differential DNA methylation events in 5-month old mice, more than identified at PND21, both in blood and liver. Only a small number of these differentially methylated cytosines (DMCs) overlapped between the time points, or between tissues (i.e. liver and blood), indicating blood may not be an appropriate surrogate tissue to estimate the effects of DEHP exposure on liver DNA methylation. We detected sex-specific DMCs common between 3-week and 5-month samples, pointing to specific DNA methylation alterations that are consistent between weanling and adult mice. In summary, this is the first study to assess the genome-wide DNA methylation profiles in liver and blood at two different aged cohorts in response to perinatal DEHP exposure. Our findings cast light on the implications of using surrogate tissue instead of target tissue in human population-based studies and identify epigenetic biomarkers for DEHP exposure.

scholarly journals DECONSTRUCTING THE MODEL-MINORITY MYTH OF U.S. ASIANS: DETERMINANTS AND CONSEQUENCES OF ELDER MISTREATMENT

2019 ◽  
Vol 3 (Supplement_1) ◽  
pp. S760-S760
Author(s):  
XinQi Dong ◽  
Melissa Simon
Keyword(s):  
Family Relationships ◽  
Model Minority ◽  
Population Based ◽  
Community Dwelling ◽  
Health Concern ◽  
Community Research ◽  
Minority Population ◽  
Model Minority Myth ◽  
Elder Mistreatment ◽  
Population Based Study

Abstract Elder mistreatment (EM) is increasingly recognized as a global health concern. Among U.S. minority and immigrant populations, the social contexts and psychological consequences associated with EM remain poorly understood. Further population-based epidemiological studies using standard EM measures are required to advance the field. To address this gap and to challenge prior assumptions regarding Asian populations, this purpose of this symposium is to improve our understanding of EM epidemiology in an older minority population. Data were drawn from the Population-based Study of Chinese Elderly in Chicago (PINE), a longitudinal, representative, population-based study of 3,157 community-dwelling Chinese older adults in the greater Chicago area. Session 1 will examine the transmission between child mistreatment, intimate partner violence, and EM. Session 2 will take a typology approach to capture the multifaceted family relationships, and will further examine which family typologies were associated with greater likelihood of EM, while which typologies were protective against EM. Session 3 will explore the positive and negative aspects of social support from spouse, family, and friends in relationship to EM subtypes, including psychological, physical, financial and sexual mistreatment, and caregiver neglect. Session 4 will examine the relationship between broad, moderate, and strict definitions of EM and likelihood of experiencing anxiety. Last, Session 5 will explore the differential relationships between EM subtypes and depressive symptoms. In summation, this symposium challenges popular conceptions of the “model minority myth” and aims to increase the practical and clinical relevance of EM epidemiology in community, research, healthcare, and policy settings.

scholarly journals DNA methylome signatures of prenatal exposure to synthetic glucocorticoids in hippocampus and peripheral whole blood of female guinea pigs in early life

2021 ◽  
Vol 11 (1) ◽  
Author(s):  
Aya Sasaki ◽  
Margaret E. Eng ◽  
Abigail H. Lee ◽  
Alisa Kostaki ◽  
Stephen G. Matthews
Keyword(s):  
Dna Methylation ◽  
Whole Blood ◽  
Guinea Pigs ◽  
Critical Role ◽  
Methylation Status ◽  
Peripheral Tissues ◽  
Epigenetic Biomarkers ◽  
Differentially Methylated Genes ◽  
Increased Risk ◽  
Synthetic Glucocorticoids

AbstractSynthetic glucocorticoids (sGC) are administered to women at risk of preterm delivery, approximately 10% of all pregnancies. In animal models, offspring exposed to elevated glucocorticoids, either by administration of sGC or endogenous glucocorticoids as a result of maternal stress, show increased risk of developing behavioral, endocrine, and metabolic dysregulation. DNA methylation may play a critical role in long-lasting programming of gene regulation underlying these phenotypes. However, peripheral tissues such as blood are often the only accessible source of DNA for epigenetic analyses in humans. Here, we examined the hypothesis that prenatal sGC administration alters DNA methylation signatures in guinea pig offspring hippocampus and whole blood. We compared these signatures across the two tissue types to assess epigenetic biomarkers of common molecular pathways affected by sGC exposure. Guinea pigs were treated with sGC or saline in late gestation. Genome-wide modifications of DNA methylation were analyzed at single nucleotide resolution using reduced representation bisulfite sequencing in juvenile female offspring. Results indicate that there are tissue-specific as well as common methylation signatures of prenatal sGC exposure. Over 90% of the common methylation signatures associated with sGC exposure showed the same directionality of change in methylation. Among differentially methylated genes, 134 were modified in both hippocampus and blood, of which 61 showed methylation changes at identical CpG sites. Gene pathway analyses indicated that prenatal sGC exposure alters the methylation status of gene clusters involved in brain development. These data indicate concordance across tissues of epigenetic programming in response to alterations in glucocorticoid signaling.

scholarly journals A machine learning case–control classifier for schizophrenia based on DNA methylation in blood

2021 ◽  
Vol 11 (1) ◽  
Author(s):  
Chathura J. Gunasekara ◽  
Eilis Hannon ◽  
Harry MacKay ◽  
Cristian Coarfa ◽  
Andrew McQuillin ◽  
...  
Keyword(s):  
Dna Methylation ◽  
Population Based ◽  
Case Control ◽  
Training Data ◽  
Polygenic Risk Score ◽  
Reverse Causality ◽  
Cell Type Specificity ◽  
Data Set ◽  
Human Genomic ◽  
Genomic Regions

AbstractEpigenetic dysregulation is thought to contribute to the etiology of schizophrenia (SZ), but the cell type-specificity of DNA methylation makes population-based epigenetic studies of SZ challenging. To train an SZ case–control classifier based on DNA methylation in blood, therefore, we focused on human genomic regions of systemic interindividual epigenetic variation (CoRSIVs), a subset of which are represented on the Illumina Human Methylation 450K (HM450) array. HM450 DNA methylation data on whole blood of 414 SZ cases and 433 non-psychiatric controls were used as training data for a classification algorithm with built-in feature selection, sparse partial least squares discriminate analysis (SPLS-DA); application of SPLS-DA to HM450 data has not been previously reported. Using the first two SPLS-DA dimensions we calculated a “risk distance” to identify individuals with the highest probability of SZ. The model was then evaluated on an independent HM450 data set on 353 SZ cases and 322 non-psychiatric controls. Our CoRSIV-based model classified 303 individuals as cases with a positive predictive value (PPV) of 80%, far surpassing the performance of a model based on polygenic risk score (PRS). Importantly, risk distance (based on CoRSIV methylation) was not associated with medication use, arguing against reverse causality. Risk distance and PRS were positively correlated (Pearson r = 0.28, P = 1.28 × 10−12), and mediational analysis suggested that genetic effects on SZ are partially mediated by altered methylation at CoRSIVs. Our results indicate two innate dimensions of SZ risk: one based on genetic, and the other on systemic epigenetic variants.

A Preliminary Report on Alcohol-Associated DNA Methylation Changes and Suicidal Behavior: Evidence Using Mendelian Randomization

2021 ◽  
pp. 105413732095224
Author(s):  
Charleen D. Adams
Keyword(s):  
Public Health ◽  
Dna Methylation ◽  
Suicidal Behavior ◽  
Genome Wide Association Study ◽  
Mendelian Randomization ◽  
Causal Effect ◽  
Economic Stress ◽  
Self Report ◽  
Health Concern ◽  
The Us

Suicide is a major public health concern. In 2015, it was the 10th leading cause of death in the US. The number of suicides increased by 30% in the US from 1999 to 2016, and a greater uptick in suicides is predicted to occur as a result of the COVID-19 crisis, for which the primary public-health strategy is physical distancing and during which alcohol sales have soared. Thus, current strategies for identifying at-risk individuals and preventing suicides, such as relying on self-reported suicidal ideation, are insufficient, especially under conditions of physical distancing, which exacerbate isolation, loneliness, economic stress, and possibly alcohol consumption. New strategies are urgent now and into the future. To that aim, here, a two-sample Mendelian randomization (an instrumental variables technique using public genome-wide association study data as data sources) was performed to determine whether alcohol-associated changes in DNA methylation mediate risk for suicidal behavior. The results suggest that higher alcohol-associated DNA methylation levels at cg18120259 confer a weak causal effect. Replication and triangulation of the results, both experimentally and with designs other than Mendelian randomization, are needed. If the findings replicate, the information might be utilized to raise awareness about the biological links between alcohol and suicide and possibly explored as a biomarker of risk, perhaps especially for early detection of those who may not self-report suicidal intent.

scholarly journals DNA methylation and lipid metabolism: an EWAS of 226 metabolic measures

2021 ◽  
Vol 13 (1) ◽  
Author(s):  
Monica del C. Gomez-Alonso ◽  
Anja Kretschmer ◽  
Rory Wilson ◽  
Liliane Pfeiffer ◽  
Ville Karhunen ◽  
...  
Keyword(s):  
Dna Methylation ◽  
Lipid Metabolism ◽  
Population Based ◽  
Total Serum ◽  
Resonance Spectroscopy ◽  
Metabolic Disturbances ◽  
Cpg Sites ◽  
Gene Transcripts

Abstract Background The discovery of robust and trans-ethnically replicated DNA methylation markers of metabolic phenotypes, has hinted at a potential role of epigenetic mechanisms in lipid metabolism. However, DNA methylation and the lipid compositions and lipid concentrations of lipoprotein sizes have been scarcely studied. Here, we present an epigenome-wide association study (EWAS) (N = 5414 total) of mostly lipid-related metabolic measures, including a fine profiling of lipoproteins. As lipoproteins are the main players in the different stages of lipid metabolism, examination of epigenetic markers of detailed lipoprotein features might improve the diagnosis, prognosis, and treatment of metabolic disturbances. Results We conducted an EWAS of leukocyte DNA methylation and 226 metabolic measurements determined by nuclear magnetic resonance spectroscopy in the population-based KORA F4 study (N = 1662) and replicated the results in the LOLIPOP, NFBC1966, and YFS cohorts (N = 3752). Follow-up analyses in the discovery cohort included investigations into gene transcripts, metabolic-measure ratios for pathway analysis, and disease endpoints. We identified 161 associations (p value < 4.7 × 10−10), covering 16 CpG sites at 11 loci and 57 metabolic measures. Identified metabolic measures were primarily medium and small lipoproteins, and fatty acids. For apolipoprotein B-containing lipoproteins, the associations mainly involved triglyceride composition and concentrations of cholesterol esters, triglycerides, free cholesterol, and phospholipids. All associations for HDL lipoproteins involved triglyceride measures only. Associated metabolic measure ratios, proxies of enzymatic activity, highlight amino acid, glucose, and lipid pathways as being potentially epigenetically implicated. Five CpG sites in four genes were associated with differential expression of transcripts in blood or adipose tissue. CpG sites in ABCG1 and PHGDH showed associations with metabolic measures, gene transcription, and metabolic measure ratios and were additionally linked to obesity or previous myocardial infarction, extending previously reported observations. Conclusion Our study provides evidence of a link between DNA methylation and the lipid compositions and lipid concentrations of different lipoprotein size subclasses, thus offering in-depth insights into well-known associations of DNA methylation with total serum lipids. The results support detailed profiling of lipid metabolism to improve the molecular understanding of dyslipidemia and related disease mechanisms.

scholarly journals DNA methylation and fluoride exposure in school-age children: Epigenome-wide screening and population-based validation

2021 ◽  
Vol 223 ◽  
pp. 112612
Author(s):  
Anqi Wang ◽  
Qiang Ma ◽  
Biao Gong ◽  
Long Sun ◽  
Francis-Kojo Afrim ◽  
...  
Keyword(s):  
Dna Methylation ◽  
Population Based ◽  
School Age Children ◽  
School Age ◽  
Fluoride Exposure

scholarly journals Epigenome-wide associations between observed maternal sensitivity and offspring DNA methylation: a population-based prospective study in children

2020 ◽  
pp. 1-11
Author(s):  
Lorenza Dall’ Aglio ◽  
Jolien Rijlaarsdam ◽  
Rosa H. Mulder ◽  
Alexander Neumann ◽  
Janine F. Felix ◽  
...  
Keyword(s):  
Dna Methylation ◽  
Stress Responses ◽  
Association Studies ◽  
Maternal Sensitivity ◽  
Population Based ◽  
Epigenetic Mechanism ◽  
Developmental Problems ◽  
Maternal Caregiving ◽  
Typical Variation

Abstract Background Experimental work in animals has shown that DNA methylation (DNAm), an epigenetic mechanism regulating gene expression, is influenced by typical variation in maternal care. While emerging research in humans supports a similar association, studies to date have been limited to candidate gene and cross-sectional approaches, with a focus on extreme deviations in the caregiving environment. Methods Here, we explored the prospective association between typical variation in maternal sensitivity and offspring epigenome-wide DNAm, in a population-based cohort of children (N = 235). Maternal sensitivity was observed when children were 3- and 4-years-old. DNAm, quantified with the Infinium 450 K array, was extracted at age 6 (whole blood). The influence of methylation quantitative trait loci (mQTLs), DNAm at birth (cord blood), and confounders (socioeconomic status, maternal psychopathology) was considered in follow-up analyses. Results Genome-wide significant associations between maternal sensitivity and offspring DNAm were observed at 13 regions (p < 1.06 × 10−07), but not at single sites. Follow-up analyses indicated that associations at these regions were in part related to genetic factors, confounders, and baseline DNAm levels at birth, as evidenced by the presence of mQTLs at five regions and estimate attenuations. Robust associations with maternal sensitivity were found at four regions, annotated to ZBTB22, TAPBP, ZBTB12, and DOCK4. Conclusions These findings provide novel leads into the relationship between typical variation in maternal caregiving and offspring DNAm in humans, highlighting robust regions of associations, previously implicated in psychological and developmental problems, immune functioning, and stress responses.

scholarly journals A GFP Reporter MR766-Based Flow Cytometry Neutralization Test for Rapid Detection of Zika Virus-Neutralizing Antibodies in Serum Specimens

Vaccines ◽  
2019 ◽  
Vol 7 (3) ◽  
pp. 66 ◽  
Author(s):  
Frumence ◽  
Viranaicken ◽  
Gadea ◽  
Desprès
Keyword(s):  
Flow Cytometry ◽  
Zika Virus ◽  
Neutralizing Antibodies ◽  
Neutralization Test ◽  
Health Concern ◽  
Structural Protein ◽  
Adult Mice ◽  
Gfp Reporter ◽  
Infected Cells ◽  
High Level

Zika virus (ZIKV) is an emerging arthropod-borne virus of major public health concern. ZIKV infection is responsible for congenital Zika disease and other neurological defects. Antibody-mediated virus neutralization is an essential component of protective antiviral immunity against ZIKV. In the present study, we assessed whether our GFP reporter ZIKV derived from African viral strain MR766 could be useful for the development of a flow cytometry neutralization test (FNT), as an alternative to the conventional plaque-reduction neutralization test (PRNT). To improve the efficacy of GFP-expressing MR766, we selected virus variant MR766GFP showing a high level of GFP signal in infected cells. A MR766GFP-based FNT was assayed with immune sera from adult mice that received ZIKBeHMR-2. The chimeric ZIKV clone ZIKBeHMR-2 comprises the structural protein region of epidemic strain BeH819015 into MR766 backbone. We reported that adult mice inoculated with ZIKBeHMR-2 developed high levels of neutralizing anti-ZIKV antibodies. Comparative analysis between MR766GFP-based FNT and conventional PRNT was performed using mouse anti-ZIKBeHMR-2 immune sera. Indistinguishable neutralization patterns were observed when compared with PRNT50 and FNT50. We consider that the newly developed MR766GFP-based FNT is a valid format for measuring ZIKV-neutralizing antibodies in serum specimens.

Epigenetics in Psychiatry

2018 ◽  
pp. 165-183
Author(s):  
Subha Subramanian ◽  
James B. Potash
Keyword(s):  
Dna Methylation ◽  
Human Brain ◽  
Psychiatric Disorders ◽  
Drugs Of Abuse ◽  
Future Directions ◽  
Peripheral Tissues ◽  
Risk Genes ◽  
Epigenetic Biomarkers ◽  
Ongoing Work ◽  
The Impact

Epigenetic modifications such as DNA methylation (DNAm), histone acetylation and methylation, and those directed by small RNAs, are widely studied in psychiatry and may play a role in the etiology and pathophysiology of psychiatric disorders. This chapter provides a brief overview of the mechanisms regulating these epigenetic marks and the challenges in obtaining biologically meaningful epigenetic data, given the inaccessibility of the living human brain. Significant results to date from studies on the epigenetics of psychiatric disorders are presented, including the impact of stress on DNAm in psychiatric risk genes such as FKBP5, and the impact of drugs of abuse and of psychiatric medications on histone modifications. Future directions are discussed, including the study of newly discovered aspects of DNAm: 5-hydroxymethylcytosine and non-CpG methylation. Ongoing work aims to uncover neurobiological mechanisms of illness and to find epigenetic biomarkers in peripheral tissues that inform diagnosis, prognosis, and therapeutic response.

Sign in / Sign up

Export Citation Format

Share Document