methylation data from case-control study reveals potential ... · study design and samples pa#ent...

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Abstract Acute respiratory distress syndrome is a lethal condition of acute bilateral lung disease associated with trauma, sepsis, and shock that occurs as a result of fluid build up in the alveoli. Prior work in the field suggests that ARDS and its pathophysiology may be mediated by epigenetically controlled factors, such as DNA methylation, and that the syndrome itself may incur genome-wide DNA methylation changes. In this investigation, we compare DNA methylation data derived from blood collected from 39 adults with ARDS, 75 ICU controls, and 30 healthy individuals made available by Szilagyi et al (1). Our analysis reveals significant demethylation in the promoter regions of 7 histone deacetylase, suggesting up-regulation of HDAC transcription. These results indicate that patients with ARDS have increased HDAC expression, potentially leading to closed chromatin structure and gene repression, suggesting a potential mechanism for increased HDAC expression in patients with ARDS. Background Materials and Methods Results Conclusion 1. Study Design and Samples Pa#ent Metric Percentage of Sample Size (number of samples) ARDS 27.1% (39) ICU (No ARDS) 52.1% (75) Healthy 20.8% (30) Male 54.9% (79) Female 45.1% (65) Black 50.0% (72) Age > 58 years old 49.0 % (71) Age < 58 years old 51.0% (73) A nested case–control design was used to select whole blood DNA samples from 2 Chicago-based ARDS cohorts; data provided by Szilagyi et al. (Accession: GSE67530) Exclusion Criteria: Hispanic heritage, diagnosis of cancer, history of organ transplant, or concurrent drug overdose to exclude known confounders of cytosine modification Blood DNA was collected from healthy and sick patients, with and without ARDS Available data for all patients included age, sex, and ethnicity which was used to inform linear modeling DNA was treated with bisulfite, converting unmethylated cytosine bases to uracil DNA methylation was measured using the Infinium 450k Methylation Array Microchip targets > 450,000 CpG sites, measuring methylation via two color (type I probes) and one color (type II probes) read out Intensity values for each color convey allelic ratio of a given locus The raw data contains summary intensities for each probe assayed in the array; values must be converted to quantify methylation state Szilagyi et al published data via NCBIs GEO data base (GSE67530) 2. Infinium 450k Array 3. NormalizaRon and Modeling 4. GO Analysis 0.0 0.2 0.4 0.6 0.8 1.0 0.0 0.5 1.0 1.5 2.0 2.5 3.0 3.5 Beta Density Raw 0.0 0.2 0.4 0.6 0.8 1.0 0.0 0.5 1.0 1.5 2.0 2.5 3.0 Beta Density Normalized 0.1 0.0 0.1 0.2 0.3 0.05 0.00 0.05 0.10 Principal Component 1 Principal Component 2 GSM1648896 GSM1648897 GSM1648898 GSM1648899 GSM1648900 GSM1648901 GSM1648902 GSM1648903 GSM1648904 GSM1648905 GSM1648906 GSM1648907 GSM1648908 GSM1648909 GSM1648910 GSM1648911 GSM1648912 GSM1648913 GSM1648914 GSM1648915 GSM1648916 GSM1648917 GSM1648918 GSM1648919 GSM1648920 GSM1648921 GSM1648922 GSM1648923 GSM1648924 GSM1648925 GSM1648926 GSM1648927 GSM1648928 GSM1648929 GSM1648930 GSM1648931 GSM1648932 GSM1648933 GSM1648934 GSM1648935 GSM1648936 GSM1648937 GSM1648938 GSM1648939 GSM1648940 GSM1648941 GSM1648942 GSM1648943 GSM1648944 GSM1648945 GSM1648946 GSM1648947 GSM1648948 GSM1648949 GSM1648950 GSM1648951 GSM1648952 GSM1648953 GSM1648954 GSM1648955 GSM1648956 GSM1648957 GSM1648958 GSM1648959 GSM1648960 GSM1648961 GSM1648962 GSM1648963 GSM1648964 GSM1648965 GSM1648966 GSM1648967 GSM1648968 GSM1648969 GSM1648970 GSM1648971 GSM1648972 GSM1648973 GSM1648974 GSM1648975 GSM1648976 GSM1648977 GSM1648978 GSM1648979 GSM1648980 GSM1648981 GSM1648982 GSM1648983 GSM1648984 GSM1648985 GSM1648986 GSM1648987 GSM1648988 GSM1648989 GSM1648990 GSM1648991 GSM1648992 GSM1648993 GSM1648994 GSM1648995 GSM1648996 GSM1648997 GSM1648998 GSM1648999 GSM1649000 GSM1649001 GSM1649002 GSM1649003 GSM1649004 GSM1649005 GSM1649006 GSM1649007 GSM1649008 GSM1649009 GSM1649010 GSM1649011 GSM1649012 GSM1649013 GSM1649014 GSM1649015 GSM1649016 GSM1649017 GSM1649018 GSM1649019 GSM1649020 GSM1649021 GSM1649022 GSM1649023 GSM1649024 GSM1649025 GSM1649026 GSM1649027 GSM1649028 GSM1649029 GSM1649030 GSM1649031 GSM1649032 GSM1649033 GSM1649034 GSM1649035 GSM1649036 GSM1649037 GSM1649038 GSM1649039 0.1 0.0 0.1 0.2 0.3 0.04 0.02 0.00 0.02 0.04 0.06 Principal Component 1 Principal Component 3 GSM1648896 GSM1648897 GSM1648898 GSM1648899 GSM1648900 GSM1648901 GSM1648902 GSM1648903 GSM1648904 GSM1648905 GSM1648906 GSM1648907 GSM1648908 GSM1648909 GSM1648910 GSM1648911 GSM1648912 GSM1648913 GSM1648914 GSM1648915 GSM1648916 GSM1648917 GSM1648918 GSM1648919 GSM1648920 GSM1648921 GSM1648922 GSM1648923 GSM1648924 GSM1648925 GSM1648926 GSM1648927 GSM1648928 GSM1648929 GSM1648930 GSM1648931 GSM1648932 GSM1648933 GSM1648934 GSM1648935 GSM1648936 GSM1648937 GSM1648938 GSM1648939 GSM1648940 GSM1648941 GSM1648942 GSM1648943 GSM1648944 GSM1648945 GSM1648946 GSM1648947 GSM1648948 GSM1648949 GSM1648950 GSM1648951 GSM1648952 GSM1648953 GSM1648954 GSM1648955 GSM1648956 GSM1648957 GSM1648958 GSM1648959 GSM1648960 GSM1648961 GSM1648962 GSM1648963 GSM1648964 GSM1648965 GSM1648966 GSM1648967 GSM1648968 GSM1648969 GSM1648970 GSM1648971 GSM1648972 GSM1648973 GSM1648974 GSM1648975 GSM1648976 GSM1648977 GSM1648978 GSM1648979 GSM1648980 GSM1648981 GSM1648982 GSM1648983 GSM1648984 GSM1648985 GSM1648986 GSM1648987 GSM1648988 GSM1648989 GSM1648990 GSM1648991 GSM1648992 GSM1648993 GSM1648994 GSM1648995 GSM1648996 GSM1648997 GSM1648998 GSM1648999 GSM1649000 GSM1649001 GSM1649002 GSM1649003 GSM1649004 GSM1649005 GSM1649006 GSM1649007 GSM1649008 GSM1649009 GSM1649010 GSM1649011 GSM1649012 GSM1649013 GSM1649014 GSM1649015 GSM1649016 GSM1649017 GSM1649018 GSM1649019 GSM1649020 GSM1649021 GSM1649022 GSM1649023 GSM1649024 GSM1649025 GSM1649026 GSM1649027 GSM1649028 GSM1649029 GSM1649030 GSM1649031 GSM1649032 GSM1649033 GSM1649034 GSM1649035 GSM1649036 GSM1649037 GSM1649038 GSM1649039 0.1 0.0 0.1 0.2 0.3 0.08 0.06 0.04 0.02 0.00 0.02 0.04 Principal Component 1 Principal Component 4 GSM1648896 GSM1648897 GSM1648898 GSM1648899 GSM1648900 GSM1648901 GSM1648902 GSM1648903 GSM1648904 GSM1648905 GSM1648906 GSM1648907 GSM1648908 GSM1648909 GSM1648910 GSM1648911 GSM1648912 GSM1648913 GSM1648914 GSM1648915 GSM1648916 GSM1648917 GSM1648918 GSM1648919 GSM1648920 GSM1648921 GSM1648922 GSM1648923 GSM1648924 GSM1648925 GSM1648926 GSM1648927 GSM1648928 GSM1648929 GSM1648930 GSM1648931 GSM1648932 GSM1648933 GSM1648934 GSM1648935 GSM1648936 GSM1648937 GSM1648938 GSM1648939 GSM1648940 GSM1648941 GSM1648942 GSM1648943 GSM1648944 GSM1648945 GSM1648946 GSM1648947 GSM1648948 GSM1648949 GSM1648950 GSM1648951 GSM1648952 GSM1648953 GSM1648954 GSM1648955 GSM1648956 GSM1648957 GSM1648958 GSM1648959 GSM1648960 GSM1648961 GSM1648962 GSM1648963 GSM1648964 GSM1648965 GSM1648966 GSM1648967 GSM1648968 GSM1648969 GSM1648970 GSM1648971 GSM1648972 GSM1648973 GSM1648974 GSM1648975 GSM1648976 GSM1648977 GSM1648978 GSM1648979 GSM1648980 GSM1648981 GSM1648982 GSM1648983 GSM1648984 GSM1648985 GSM1648986 GSM1648987 GSM1648988 GSM1648989 GSM1648990 GSM1648991 GSM1648992 GSM1648993 GSM1648994 GSM1648995 GSM1648996 GSM1648997 GSM1648998 GSM1648999 GSM1649000 GSM1649001 GSM1649002 GSM1649003 GSM1649004 GSM1649005 GSM1649006 GSM1649007 GSM1649008 GSM1649009 GSM1649010 GSM1649011 GSM1649012 GSM1649013 GSM1649014 GSM1649015 GSM1649016 GSM1649017 GSM1649018 GSM1649019 GSM1649020 GSM1649021 GSM1649022 GSM1649023 GSM1649024 GSM1649025 GSM1649026 GSM1649027 GSM1649028 GSM1649029 GSM1649030 GSM1649031 GSM1649032 GSM1649033 GSM1649034 GSM1649035 GSM1649036 GSM1649037 GSM1649038 GSM1649039 Figure 3: DistribuRons for Raw and Normalized beta values. Histone deacetylases (HDACs) are known to regulate gene expression. In general, HDAC inhibitors cause an overall increase in gene expression. HDAC inhibitors repress expression of inflammatory cytokines (5) and have been shown to aZenuate lipopolysaccharide-induced acute lung injury in mice (6) ARDS is a lethal condition of acute bilateral lung disease affecting 5% of adult patients on ventilators with mortality estimated at 40% Previous studies have demonstrated that ARDS pathophysiology is likely mediated, in part, by epigenetic mechanisms (2-4) 178,918 CpGs were found to have significant differenRal methylaRon (q-value < 0.05) 18,388 of these probes fell within a CpG island that was also in the promoter region of a known gene, referred to as island-promoter (IP) CpGs. GO analysis revealed significant enrichment in the “Repressing transcripRon factor binding” GO family (Table 2) Cross validaRng genes under this GO term with our list of IP CpGs revealed many HDAC genes to be significantly altered in paRents with ARDS (Table 3) Demethylation of CpG islands in the promoter regions of HDACs provide a potential mechanism for the increase in HDAC expression seen in patients with ARDS (4). Results also support continued investigation into the application of HDAC inhibitors for treating ARDS (6) Acknowledgements This project was made possible by Princeton’s Center for Health and Well Being, Office of the Dean of College, MOL/QCB SURP, and Illumina Adult sample data provided by Szilagyi et al. through NCBI GEO database (Accession: GSE67530) Notterman Lab References 1. Szilagyi K, Garcia JGN, Zhang W (2013) Exploring DNA Methylation of MYLK as a Contributor to Acute Respiratory Distress Syndrome Disparities. J Pulm Respir Med 3:e127. doi:10.4172/2161-105X.1000e127 2. Zhang, X., Lv, C., Liu, X., Hao, D., Qin, J., Tian, H., . . . Wang, X. (2013). Genomewide analysis of DNA methylation in rat lungs with lipopolysaccharideinduced acute lung injury. Spandidos publications: Molecular Medicine Reports, 7(15), 1417-1424. doi:10.3892/mmr.2013.140 3. Elangovan, V. R., Camp, S. M., Kelly, G. T., Desai, A. A., Adyshev, D., Sun, X., … Garcia, J. G. N. (2016). Endotoxin- and mechanical stress–induced epigenetic changes in the regulation of the nicotinamide phosphoribosyltransferase promoter. Pulmonary Circulation, 6(4), 539–544. http://doi.org/10.1086/688761 4. El Gazzar M, Yoza BK, Hu JY, Cousart SL and McCall CE: Epigenetic silencing of tumor necrosis factor alpha during endotoxin tolerance. J Biol Chem. 282:26857–26864. 2007. 5. The antitumor histone deacetylase inhibitor suberoylanilide hydroxamic acid exhibits antiinflammatory properties via suppression of cytokines. Leoni F, Zaliani A, Bertolini G, Porro G, Pagani P, Pozzi P, Donà G, Fossati G, Sozzani S, Azam T, Bufler P, Fantuzzi G, Goncharov I, Kim SH, Pomerantz BJ, Reznikov LL, Siegmund B, Dinarello CA, Mascagni P Proc Natl Acad Sci U S A. 2002 Mar 5; 99(5):2995-3000. 6. Ni, Yun-Feng et al. “Histone Deacetylase Inhibitor, Butyrate, Attenuates Lipopolysaccharide-Induced Acute Lung Injury in Mice.” Respiratory Research 11.1 (2010): 33. PMC. Web. 3 Aug. 2017. Next Steps Methylation Data from Case-Control Study Reveals Potential Mechanism for HDAC Up- Regulation in ARDS Sam Chiacchia , Lisa Schneper, Daniel Notterman Molecular Biology Department, Princeton University, Princeton NJ, USA MethylaRon paZerns from ARDS paRents and ICU controls cluster together while healthy paRents cluster on their own (Fig 4) Healthy paRents tend to have more methylated CpGs than sick paRents (Fig 4) Figure 4: MDS plots depicRng relaRonship between different principal components Table 1: Sample demographic informaRon Significant CpGs that fell within CpG islands were mapped to the genome, those that fell within the promoter regions of genes were used to conduct GO analysis Analysis was conducted using the online GO Enrichment Analysis tool (http://www.geneontology.org/page/go-enrichment-analysis) Raw data was normalized using quantile normalization where methylation values are transformed to maintain a common distribution of intensities (Fig 3) In order to assess what types of variables may confound methylation, we used multidimensional scaling (MDS) to visualize the degree of similarity between individuals in various patient groups. MDS converts a set of possibly correlated variables into a set of linearly uncorrelated variables called principal components. MDS confirms previously understood correlations between DNA methylation, sex, and ethnicity (Fig 4) Figure 1: Cartoon comparing a healthy alveolus (led) to one with ARDS (right). Depicts death of type II epithelial cells in response to protein rich edema fluid caused by the body’s immune response to a primary morbidity Photo citaRon: hZp://www.daviddarling.info/encyclopedia/A/ acute_respiratory_distress_syndrome.html Figure 4: Heat map depicRng beta values for IP CpGs associated with HDACs. The columns represent individual paRents, while the rows represent CpG loci. Orange represents paRents with ARDS, purple represents ICU controls, and grey represents healthy paRents. The more green the more methylated the loci. Clustering of paRents and loci was done using hclust algorithm. Column Color Pa#ent Health Status Orange ARDS Purple ICU Control Grey Healthy Table 3: Number of IP CpGs by HDAC Table 2: GO Enrichment Analysis Results GO molecular func#on Fold Enrichment P-value Repressing transcripRon factor binding 7.95 2.54E-03 RNA binding 1.77 2.91E-02 DNA binding 1.73 3.48E-04 Nucleic acid binding 1.69 3.84E-08 Heterocyclic compound binding 1.55 3.73E-09 Organic cyclic compound binding 1.54 7.60E-09 Gene Significant IP CpGs HDAC4 14 HDAC5 5 HDAC11 4 HDAC1 3 HDAC10 3 HDAC7 3 HDAC2 2 Pediatric acute respiratory distress syndrome (PARDS) is similar to adult ARDS in pathophysiology, incidence, and mortality. Given the growing evidence that ARDS is mediated by epigenetic factors, we are interested in investigating similar phenomena in a pediatric cohort since genome wide methylation is known to vary with age Through collaboration with Dr. Peter Mourani of Denver Children’s Hospital and Dr. Judie Howrylak of Pennsylvania State College of Medicine, we have designed a longitudinal case-control study designed to investigate variable DNA methylation in children with ARDS. Acute Stress DemethylaRon of CpGs in HDAC Promoters HDAC expression Inflammatory Response HDAC Inhibitor Figure 5: Proposed model for increased HDAC expression Total sample size is 144 paRents Female Male Black Not Black ICU Control ARDS Healthy

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Page 1: Methylation Data from Case-Control Study Reveals Potential ... · Study Design and Samples Pa#ent Metric Percentage of Sample Size (number of samples) ARDS 27.1% (39) ICU (No ARDS)

Abstract Acute respiratory distress syndrome is a lethal condition of acute bilateral lung disease associated with trauma, sepsis, and shock that occurs as a result of fluid build up in the alveoli. Prior work in the field suggests that ARDS and its pathophysiology may be mediated by epigenetically controlled factors, such as DNA methylation, and that the syndrome itself may incur genome-wide DNA methylation changes. In this investigation, we compare DNA methylation data derived from blood collected from 39 adults with ARDS, 75 ICU controls, and 30 healthy individuals made available by Szilagyi et al (1). Our analysis reveals significant demethylation in the promoter regions of 7 histone deacetylase, suggesting up-regulation of HDAC transcription. These results indicate that patients with ARDS have increased HDAC expression, potentially leading to closed chromatin structure and gene repression, suggesting a potential mechanism for increased HDAC expression in patients with ARDS.

Background

Materials and Methods

Results

Conclusion

1.StudyDesignandSamples

Pa#entMetric PercentageofSampleSize(numberofsamples)

ARDS 27.1%(39)

ICU(NoARDS) 52.1%(75)

Healthy 20.8%(30)

Male 54.9%(79)

Female 45.1%(65)

Black 50.0%(72)

Age>58yearsold 49.0%(71)

Age<58yearsold 51.0%(73)

•  A nested case–control design was used to select whole blood DNA

samples from 2 Chicago-based ARDS cohorts; data provided by Szilagyi et al. (Accession: GSE67530)

•  Exclusion Criteria: Hispanic heritage, diagnosis of cancer, history of organ transplant, or concurrent drug overdose to exclude known confounders of cytosine modification

•  Blood DNA was collected from healthy and sick patients, with and without ARDS

•  Available data for all patients included age, sex, and ethnicity which was used to inform linear modeling

•  DNA was treated with bisulfite, converting unmethylated cytosine bases to uracil

•  DNA methylation was measured using the Infinium 450k Methylation Array

•  Microchip targets > 450,000 CpG sites, measuring methylation via two color (type I probes) and one color (type II probes) read out

•  Intensity values for each color convey allelic ratio of a given locus •  The raw data contains summary intensities for each probe assayed in

the array; values must be converted to quantify methylation state •  Szilagyi et al published data via NCBIs GEO data base (GSE67530)

2.Infinium450kArray

3.NormalizaRonandModeling

4.GOAnalysis

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Principal Component 1

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nt 2

GSM1648896

GSM1648897

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GSM1648899

GSM1648900

GSM1648901

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GSM1648903

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GSM1648949GSM1648950

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GSM1648955GSM1648956

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GSM1648993GSM1648994

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GSM1649014GSM1649015

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GSM1649029GSM1649030

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Female

Male

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Principal Component 1

Prin

cipa

l Com

pone

nt 3

GSM1648896

GSM1648897

GSM1648898

GSM1648899

GSM1648900

GSM1648901

GSM1648902

GSM1648903

GSM1648904

GSM1648905

GSM1648906

GSM1648907

GSM1648908

GSM1648909

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GSM1648953GSM1648954

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GSM1648959

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GSM1648967GSM1648968

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GSM1648990GSM1648991

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GSM1649001GSM1649002

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GSM1649020GSM1649021

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GSM1649031

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GSM1649035

GSM1649036

GSM1649037

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GSM1649039

Black

White

−0.1 0.0 0.1 0.2 0.3

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Principal Component 1

Prin

cipa

l Com

pone

nt 4

GSM1648896

GSM1648897

GSM1648898

GSM1648899

GSM1648900

GSM1648901

GSM1648902

GSM1648903

GSM1648904

GSM1648905

GSM1648906

GSM1648907

GSM1648908

GSM1648909

GSM1648910

GSM1648911

GSM1648912GSM1648913

GSM1648914GSM1648915

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GSM1648917

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GSM1648923

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GSM1648925

GSM1648926

GSM1648927

GSM1648928

GSM1648929

GSM1648930

GSM1648931GSM1648932

GSM1648933

GSM1648934

GSM1648935

GSM1648936 GSM1648937

GSM1648938

GSM1648939

GSM1648940GSM1648941

GSM1648942

GSM1648943

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GSM1648950

GSM1648951

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GSM1648957GSM1648958

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GSM1648960

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Figure3:DistribuRonsforRawandNormalizedbetavalues.

Histone deacetylases (HDACs) are known to regulate gene expression. In general, HDAC inhibitors cause an overall increase in gene expression. HDAC inhibitors repress expression of inflammatory cytokines (5) and have been shown to aZenuatelipopolysaccharide-inducedacutelunginjuryinmice(6)

ARDS is a lethal condition of acute bilateral lung disease affecting 5% of adult patients on ventilators with mortality estimated at 40% Previous studies have demonstrated that ARDS pathophysiology is likely mediated, in part, by epigenetic mechanisms (2-4)

•  178,918CpGswerefoundtohavesignificantdifferenRalmethylaRon(q-value<0.05)

•  18,388oftheseprobesfellwithinaCpGislandthatwasalsointhepromoterregionofaknowngene,referredtoasisland-promoter(IP)CpGs.

•  GOanalysisrevealedsignificantenrichmentinthe“RepressingtranscripRonfactorbinding”GOfamily(Table2)

•  CrossvalidaRnggenesunderthisGOtermwithourlistofIPCpGsrevealedmanyHDACgenestobesignificantlyalteredinpaRentswithARDS(Table3)

•  Demethylation of CpG islands in the promoter regions of HDACs provide a potential mechanism for the increase in HDAC expression seen in patients with ARDS (4).

•  Results also support continued investigation into the application of HDAC inhibitors for treating ARDS (6)

Acknowledgements This project was made possible by Princeton’s Center for Health and Well Being, Office of the Dean of College, MOL/QCB SURP, and Illumina Adult sample data provided by Szilagyi et al. through NCBI GEO database (Accession: GSE67530) Notterman Lab

References 1.  Szilagyi K, Garcia JGN, Zhang W (2013) Exploring DNA Methylation of MYLK

as a Contributor to Acute Respiratory Distress Syndrome Disparities. J Pulm Respir Med 3:e127. doi:10.4172/2161-105X.1000e127

2.  Zhang, X., Lv, C., Liu, X., Hao, D., Qin, J., Tian, H., . . . Wang, X. (2013). Genome‑wide analysis of DNA methylation in rat lungs with lipopolysaccharide‑induced acute lung injury. Spandidos publications: Molecular Medicine Reports, 7(15), 1417-1424. doi:10.3892/mmr.2013.140

3.  Elangovan, V. R., Camp, S. M., Kelly, G. T., Desai, A. A., Adyshev, D., Sun, X., … Garcia, J. G. N. (2016). Endotoxin- and mechanical stress–induced epigenetic changes in the regulation of the nicotinamide phosphoribosyltransferase promoter. Pulmonary Circulation, 6(4), 539–544. http://doi.org/10.1086/688761

4.  El Gazzar M, Yoza BK, Hu JY, Cousart SL and McCall CE: Epigenetic silencing of tumor necrosis factor alpha during endotoxin tolerance. J Biol Chem. 282:26857–26864. 2007.

5.  The antitumor histone deacetylase inhibitor suberoylanilide hydroxamic acid exhibits antiinflammatory properties via suppression of cytokines. Leoni F, Zaliani A, Bertolini G, Porro G, Pagani P, Pozzi P, Donà G, Fossati G, Sozzani S, Azam T, Bufler P, Fantuzzi G, Goncharov I, Kim SH, Pomerantz BJ, Reznikov LL, Siegmund B, Dinarello CA, Mascagni P Proc Natl Acad Sci U S A. 2002 Mar 5; 99(5):2995-3000.

6.  Ni, Yun-Feng et al. “Histone Deacetylase Inhibitor, Butyrate, Attenuates Lipopolysaccharide-Induced Acute Lung Injury in Mice.” Respiratory Research 11.1 (2010): 33. PMC. Web. 3 Aug. 2017.

Next Steps

Methylation Data from Case-Control Study Reveals Potential Mechanism for HDAC Up-Regulation in ARDS Sam Chiacchia, Lisa Schneper, Daniel Notterman Molecular Biology Department, Princeton University, Princeton NJ, USA

•  MethylaRonpaZernsfromARDSpaRentsandICUcontrolsclustertogetherwhilehealthypaRentsclusterontheirown(Fig4)

•  HealthypaRentstendtohavemoremethylatedCpGsthansickpaRents(Fig4)

Figure4:MDSplotsdepicRngrelaRonshipbetweendifferentprincipalcomponents

Table1:SampledemographicinformaRon

•  Significant CpGs that fell within CpG islands were mapped to the genome, those that fell within the promoter regions of genes were used to conduct GO analysis

•  Analysis was conducted using the online GO Enrichment Analysis tool (http://www.geneontology.org/page/go-enrichment-analysis)

•  Raw data was normalized using quantile normalization where methylation values are transformed to maintain a common distribution of intensities (Fig 3)

•  In order to assess what types of variables may confound methylation, we used multidimensional scaling (MDS) to visualize the degree of similarity between individuals in various patient groups. MDS converts a set of possibly correlated variables into a set of linearly uncorrelated variables called principal components.

•  MDS confirms previously understood correlations between DNA methylation, sex, and ethnicity (Fig 4)

Figure1:Cartooncomparingahealthyalveolus(led)toonewithARDS(right).DepictsdeathoftypeIIepithelialcellsinresponsetoproteinrichedemafluidcausedbythebody’simmuneresponsetoaprimarymorbidityPhotocitaRon:hZp://www.daviddarling.info/encyclopedia/A/acute_respiratory_distress_syndrome.html

Figure4:HeatmapdepicRngbetavaluesforIPCpGsassociatedwithHDACs.ThecolumnsrepresentindividualpaRents,whiletherowsrepresentCpGloci.OrangerepresentspaRentswithARDS,purplerepresentsICUcontrols,andgreyrepresentshealthypaRents.Themoregreenthemoremethylatedtheloci.ClusteringofpaRentsandlociwasdoneusinghclustalgorithm.

ColumnColor Pa#entHealthStatus

Orange ARDS

Purple ICUControl

Grey Healthy

Table3:NumberofIPCpGsbyHDAC

Table2:GOEnrichmentAnalysisResultsGOmolecularfunc#on

FoldEnrichment P-value

RepressingtranscripRonfactorbinding 7.95 2.54E-03RNAbinding 1.77 2.91E-02DNAbinding 1.73 3.48E-04Nucleicacidbinding 1.69 3.84E-08Heterocycliccompoundbinding 1.55 3.73E-09Organiccycliccompoundbinding 1.54 7.60E-09

Gene SignificantIPCpGsHDAC4 14HDAC5 5HDAC11 4HDAC1 3HDAC10 3HDAC7 3HDAC2 2

•  Pediatric acute respiratory distress syndrome (PARDS) is similar to adult ARDS in pathophysiology, incidence, and mortality.

•  Given the growing evidence that ARDS is mediated by epigenetic factors, we are interested in investigating similar phenomena in a pediatric cohort since genome wide methylation is known to vary with age

•  Through collaboration with Dr. Peter Mourani of Denver Children’s Hospital and Dr. Judie Howrylak of Pennsylvania State College of Medicine, we have designed a longitudinal case-control study designed to investigate variable DNA methylation in children with ARDS.

AcuteStress

DemethylaRonofCpGsinHDACPromoters

HDACexpression

InflammatoryResponse

HDACInhibitor

Figure 5: Proposed model for increased HDAC expression

Totalsamplesizeis144paRents

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ICUControlARDSHealthy