Metabolomics,Unknown,Transcriptomics,Genomics,Proteomics

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Stable Patterns of Gene Expression Regulating Carbohydrate Metabolism Determined by Geographic Ancestry

ABSTRACT: Individuals of African descent in the United States suffer disproportionately from diseases with a metabolic etiology (obesity, metabolic syndrome, and diabetes), and from the pathological consequences of these disorders (hypertension and cardiovascular disease). Using a combination of genetic/genomic and bioinformatics approaches, we identified a large number of genes that were both differentially expressed between American subjects self-identified to be of either African or European ancestry and that also contained single nucleotide polymorphisms that distinguish distantly related ancestral populations. Several of these genes control the metabolism of simple carbohydrates and are direct targets for the SREBP1, a metabolic transcription factor also differentially expressed between our study populations. These data support the concept of stable patterns of gene transcription unique to a geographic ancestral lineage. The coordinated transcriptional adaptation of carbohydrate metabolism to dietary environmental pressures suggests a genetic and transcriptional mechanism for the disproportionate levels of obesity, diabetes, and cardiovascular disease observed in Americans with African ancestry. Keywords: Ancestry-dependent gene expression, functional genomics, personalized medicine, multi-factoral disease, nutrition, diabetes We utilized a “sample x reference” experimental design strategy in which RNA extracted from human peripheral blood mononuclear cells was hybridized to the microarray slide in the presence of labeled Universal Human Reference RNA (UHRR, Stratagene, LaJolla, CA). A total of 161 subjects were used in this analysis. Briefly, five hundred nanograms of total RNA were used for gene expression profiling following reverse transcription and T-7 polymerase-mediated amplification/labeling with Cyanine-5 CTP. Labeled subject cRNA was co-hybridized to Agilent G4112A Whole Human Genome 44K oligonucleotide arrays with equimolar amounts of Cyanine-3 labeled UHRR. Slides were hybridized, washed, and scanned on an Axon 4000b microarray scanner. The data were processed using GenePix Pro 6 software

ORGANISM(S): Homo sapiens

SUBMITTER: Jonathan Schisler

PROVIDER: E-GEOD-12959 | biostudies-arrayexpress |

REPOSITORIES: biostudies-arrayexpress

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Stable patterns of gene expression regulating carbohydrate metabolism determined by geographic ancestry.

Schisler Jonathan C JC Charles Peter C PC Parker Joel S JS Hilliard Eleanor G EG Mapara Sabeen S Meredith Dane D Lineberger Robert E RE Wu Samuel S SS Alder Brian D BD Stouffer George A GA Patterson Cam C

PloS one 20091209 12

<h4>Background</h4>Individuals of African descent in the United States suffer disproportionately from diseases with a metabolic etiology (obesity, metabolic syndrome, and diabetes), and from the pathological consequences of these disorders (hypertension and cardiovascular disease).<h4>Methodology/principal findings</h4>Using a combination of genetic/genomic and bioinformatics approaches, we identified a large number of genes that were both differentially expressed between American subjects self- ...[more]

PMID: 20016837

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Project description:Background: Asthma, a complex chronic lung disease affecting the airways, has striking disparities across ancestral groups, but the molecular underpinning of these differences is poorly understood and minimally studied. A major goal of the Consortium on Asthma among African-ancestry Populations in the Americas (CAAPA) is to understand multi-omics signatures of asthma risk in the nasal epithelium focusing on populations of African ancestry. Methods: DNA methylation (DNAm) quantification was performed using Illumina’s Infinium MethylationEPIC array® using genomic DNA from nasal airway epithelial cells collected across the 4 US recruitment sites (Baltimore, Chicago, Denver, and Washington DC) for 331 subjects (N=149 asthma cases, N= 182 never asthmatic controls). We performed association analysis to identify eQTMs (CpG-gene associations) for DEGs limiting to CpGs ≤5kb from the transcription start site or within enhancer regions identified through promoter-capture HiC in bronchial epithelial cells. CpGs from significant eQTMs (p<0.05) were tested for differential methylation by asthma (DMCs) to assess the relative contribution of expression and methylation in asthma risk. All models were fully adjusted for ancestry, sampling site, and appropriate latent factors. Findings: Multi-omic analysis identified FKBP5 as a key contributor to asthma risk, where the association between nasal epithelium gene expression is likely regulated by methylation and is associated with increased use of inhaled corticosteroids. FKBP5 is a co-chaperone of glucocorticoid receptor signaling and known to be involved in drug response in asthma. Interpretation: Our analyses reveal genes and networks in asthma that are differentially expressed in nasal epithelium of current asthma cases of African ancestry in CAAPA. Importantly, this work reveals molecular dysregulation on three axes – increased Th2 inflammation, decreased capacity for wound healing, and impaired drug response – that may play a critical role in asthma within the African Diaspora.

Project description:Background: Mortality from preeclampsia (PE) and PE-associated morbidities are 3-to 5-fold higher in persons of African ancestry than in those of Asian and European ancestries. The placenta is central to the etiology of PE. However, how and to what extent the placenta contributes to worse PE outcomes in persons of African ancestry is yet to be fully elucidated. Objective: We aimed to identify molecular pathways that are unique or enriched in placentas of parturient persons of African ancestry with PE with severe features (sPE) compared to those of Asian and European ancestry with sPE. Study design: Bulk RNA sequencing was performed on 50 placentas from parturient persons with sPE of African (n=9), Asian (n=18) and European (n=23) ancestries and 73 normotensive controls of African (n=9), Asian (n=15) and European (n=49) ancestries. Results: Metabolism, hormone regulation and hypoxia/angiogenesis genes, previously described to be upregulated in PE, including: LEP, PAPPA2, INHA, FSTL3, FLT1, PHYHIP and ENG, were upregulated in sPE across ancestries, with high expression of FSTL3 being additionally associated with intrauterine growth restriction (p<.0001). Notably, LEP, FLT1 and PHYHIP were more highly upregulated in sPE placentas from parturient persons of African versus Asian ancestry. Genes associated with allograft rejection and adaptive immune response were selectively upregulated in placentas from African ancestry parturitions and not in those of Asian and European ancestries. Among the allograft rejection/adaptive immune response genes, IL3RA was of particular interest because the patient with the highest placental IL3RA level, a woman of African ancestry with IL3RA levels 4.5-fold above the average for African ancestry parturitions with sPE, developed postpartum cardiomyopathy, and was the only patient out of 123, that developed this condition. Interestingly, the sPE patients of Asian and European ancestries with the highest IL3RA levels for their ancestries developed unexplained tachycardia peripartum, necessitating echocardiography in the European ancestry patient. The association between elevated placental IL3RA levels and unexplained tachycardia or peripartum cardiomyopathy was found to be significant in the 50 sPE patients (p=.0005). Conclusions: African ancestry parturitions are associated with higher placental upregulation of metabolism (LEP) and hypoxia/angiogenesis (FLT1) genes, and selective upregulation of allograft rejection/adaptive immune response genes, including IL3RA. High placental expression of IL3RA may predict worse maternal cardiovascular outcomes, including peripartum cardiomyopathy. Studies evaluating placental IL3RA levels in peripartum cardiomyopathy cohorts are therefore warranted, as are broader studies evaluating placental factors in maternal cardiovascular outcomes postpartum.

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Stable Patterns of Gene Expression Regulating Carbohydrate Metabolism Determined by Geographic Ancestry

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Stable patterns of gene expression regulating carbohydrate metabolism determined by geographic ancestry.

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