scholarly journals Neonatal genetics of gene expression reveal potential origins of autoimmune and allergic disease risk

2020 ◽  
Vol 11 (1) ◽  
Author(s):  
Qin Qin Huang ◽  
Howard H. F. Tang ◽  
Shu Mei Teo ◽  
Danny Mok ◽  
Scott C. Ritchie ◽  
...  
Keyword(s):  
Gene Expression ◽  
Allergic Disease ◽  
Disease Risk ◽  
Genetics Of Gene Expression

scholarly journals Neonatal genetics of gene expression reveal the origins of autoimmune and allergic disease risk

2019 ◽  
Author(s):  
Qin Qin Huang ◽  
Howard H. F. Tang ◽  
Shu Mei Teo ◽  
Scott C. Ritchie ◽  
Artika P. Nath ◽  
...  
Keyword(s):  
Gene Expression ◽  
T Cells ◽  
Disease Risk ◽  
Allergic Diseases ◽  
Cell Types ◽  
Mendelian Randomisation ◽  
Genetic Associations ◽  
Cell Type ◽  
Genetics Of Gene Expression ◽  
Causal Variants

AbstractChronic immune-mediated diseases of adulthood often originate in early childhood. To investigate genetic associations between neonatal immunity and disease, we collected cord blood samples from a birth cohort and mapped expression quantitative trait loci (eQTLs) in resting monocytes and CD4+ T cells as well as in response to lipopolysaccharide (LPS) or phytohemagglutinin (PHA) stimulation, respectively. Cis-eQTLs were largely specific to cell type or stimulation, and response eQTLs were identified for 31% of genes with cis-eQTLs (eGenes) in monocytes and 52% of eGenes in CD4+ T cells. We identified trans-eQTLs and mapped cis regulatory factors which act as mediators of trans effects. There was extensive colocalisation of causal variants for cell type- and stimulation-specific neonatal cis-eQTLs and those of autoimmune and allergic diseases, in particular CTSH (Cathepsin H) which showed widespread colocalisation across diseases. Mendelian randomisation showed causal neonatal gene transcription effects on disease risk for BTN3A2, HLA-C and many other genes. Our study elucidates the genetics of gene expression in neonatal conditions and cell types as well as the aetiological origins of autoimmune and allergic diseases.

scholarly journals DNA methylation and gene expression integration in cardiovascular disease

2021 ◽  
Vol 13 (1) ◽  
Author(s):  
Guillermo Palou-Márquez ◽  
Isaac Subirana ◽  
Lara Nonell ◽  
Alba Fernández-Sanlés ◽  
Roberto Elosua
Keyword(s):  
Gene Expression ◽  
Cardiovascular Disease ◽  
Dna Methylation ◽  
Cardiovascular Diseases ◽  
Disease Risk ◽  
Cardiovascular Disease Risk ◽  
Risk Function ◽  
Predictive Biomarkers ◽  
Independent Study ◽  
Cell Type

Abstract Background The integration of different layers of omics information is an opportunity to tackle the complexity of cardiovascular diseases (CVD) and to identify new predictive biomarkers and potential therapeutic targets. Our aim was to integrate DNA methylation and gene expression data in an effort to identify biomarkers related to cardiovascular disease risk in a community-based population. We accessed data from the Framingham Offspring Study, a cohort study with data on DNA methylation (Infinium HumanMethylation450 BeadChip; Illumina) and gene expression (Human Exon 1.0 ST Array; Affymetrix). Using the MOFA2 R package, we integrated these data to identify biomarkers related to the risk of presenting a cardiovascular event. Results Four independent latent factors (9, 19, 21—only in women—and 27), driven by DNA methylation, were associated with cardiovascular disease independently of classical risk factors and cell-type counts. In a sensitivity analysis, we also identified factor 21 as associated with CVD in women. Factors 9, 21 and 27 were also associated with coronary heart disease risk. Moreover, in a replication effort in an independent study three of the genes included in factor 27 were also present in a factor identified to be associated with myocardial infarction (CDC42BPB, MAN2A2 and RPTOR). Factor 9 was related to age and cell-type proportions; factor 19 was related to age and B cells count; factor 21 pointed to human immunodeficiency virus infection-related pathways and inflammation; and factor 27 was related to lifestyle factors such as alcohol consumption, smoking and body mass index. Inclusion of factor 21 (only in women) improved the discriminative and reclassification capacity of the Framingham classical risk function and factor 27 improved its discrimination. Conclusions Unsupervised multi-omics data integration methods have the potential to provide insights into the pathogenesis of cardiovascular diseases. We identified four independent factors (one only in women) pointing to inflammation, endothelium homeostasis, visceral fat, cardiac remodeling and lifestyles as key players in the determination of cardiovascular risk. Moreover, two of these factors improved the predictive capacity of a classical risk function.

scholarly journals Expression Profiling of Transcriptome and Its Associated Disease Risk in Yang Deficiency Constitution of Healthy Subjects

2016 ◽  
Vol 2016 ◽  
pp. 1-9 ◽  
Author(s):  
Ruoxi Yu ◽  
Yin Yang ◽  
Yuanyuan Han ◽  
Pengwei Hou ◽  
Yingshuai Li ◽  
...  
Keyword(s):  
Gene Expression ◽  
Healthy Subjects ◽  
Mononuclear Cells ◽  
Clinical Medicine ◽  
Disease Risk ◽  
Expression Profiles ◽  
Gene Expression Profiles ◽  
Molecular Evidence ◽  
Chinese Han ◽  
Peripheral Blood Mononuclear

Objectives. Differences among healthy subjects and associated disease risks are of substantial interest in clinical medicine. According to the theory of “constitution-disease correlation” in traditional Chinese medicine, we try to find out if there is any connection between intolerance of cold in Yang deficiency constitution and molecular evidence and if there is any gene expression basis in specific disorders. Methods. Peripheral blood mononuclear cells were collected from Chinese Han individuals with Yang deficiency constitution (n=20) and balanced constitution (n=8) (aged 18–28) and global gene expression profiles were determined between them using the Affymetrix HG-U133 Plus 2.0 array. Results. The results showed that when the fold change was ≥1.2 and q ≤ 0.05, 909 genes were upregulated in the Yang deficiency constitution, while 1189 genes were downregulated. According to our research differential genes found in Yang deficiency constitution were usually related to lower immunity, metabolic disorders, and cancer tendency. Conclusion. Gene expression disturbance exists in Yang deficiency constitution, which corresponds to the concept of constitution and gene classification. It also suggests people with Yang deficiency constitution are susceptible to autoimmune diseases, enteritis, arthritis, metabolism disorders, and cancer, which provides molecular evidence for the theory of “constitution-disease correlation.”

scholarly journals Analysis of chromatin organization and gene expression in T cells identifies functional genes for rheumatoid arthritis

2019 ◽  
Author(s):  
Jing Yang ◽  
Amanda McGovern ◽  
Paul Martin ◽  
Kate Duffus ◽  
Xiangyu Ge ◽  
...  
Keyword(s):  
Rheumatoid Arthritis ◽  
Gene Expression ◽  
T Cells ◽  
Complex Disease ◽  
Target Genes ◽  
Disease Risk ◽  
Association Studies ◽  
Dna Interaction ◽  
Genome Wide Association Studies ◽  
Causal Genes

AbstractGenome-wide association studies have identified genetic variation contributing to complex disease risk. However, assigning causal genes and mechanisms has been more challenging because disease-associated variants are often found in distal regulatory regions with cell-type specific behaviours. Here, we collect ATAC-seq, Hi-C, Capture Hi-C and nuclear RNA-seq data in stimulated CD4+ T-cells over 24 hours, to identify functional enhancers regulating gene expression. We characterise changes in DNA interaction and activity dynamics that correlate with changes gene expression, and find that the strongest correlations are observed within 200 kb of promoters. Using rheumatoid arthritis as an example of T-cell mediated disease, we demonstrate interactions of expression quantitative trait loci with target genes, and confirm assigned genes or show complex interactions for 20% of disease associated loci, including FOXO1, which we confirm using CRISPR/Cas9.

scholarly journals A pH-eQTL interaction at the RIT2-SYT4 Parkinson's disease risk locus in the substantia nigra

2020 ◽  
Author(s):  
Sejal Patel ◽  
Derek Howard ◽  
Leon French
Keyword(s):  
Gene Expression ◽  
Parkinson’S Disease ◽  
Parkinson's Disease ◽  
Substantia Nigra ◽  
Human Brain ◽  
Disease Risk ◽  
Brain Regions ◽  
Dopamine Neurons ◽  
Postmortem Human Brain ◽  
Increased Risk

BACKGROUND: Parkinson's disease (PD) causes severe motor and cognitive disabilities that result from the progressive loss of dopamine neurons in the substantia nigra. The rs12456492 variant in the RIT2 gene has been repeatedly associated with increased risk for Parkinson's disease. From a transcriptomic perspective, a meta-analysis found that RIT2 gene expression is correlated with pH in the human brain. OBJECTIVE: To assess pH associations at the RIT2-SYT4 locus. METHODS: Linear models to examine two datasets that assayed rs12456492, gene expression, and pH in the postmortem human brain. RESULTS: Using the BrainEAC dataset, we replicate the positive correlation between RIT2 gene expression and pH in the human brain. Furthermore, we found that the relationship between expression and pH is influenced by rs12456492. When tested across ten brain regions, this interaction is specifically found in the substantia nigra. A similar association was found for the co-localized SYT4 gene. In addition, SYT4 associations are stronger in a combined model with both genes, and the SYT4 interaction appears to be specific to males. In the GTEx dataset, the pH associations involving rs12456492 and expression of either SYT4 and RIT2 was not seen. This null finding may be due to the short postmortem intervals (PMI) of the GTEx tissue samples. In the BrainEAC data, we tested the effect of PMI and only observed the interactions in the longer PMI samples. CONCLUSIONS: These previously unknown associations suggest novel mechanistic roles for rs12456492, RIT2, and SYT4 in the regulation of pH in the substantia nigra.

scholarly journals Molecular hallmarks of heterochronic parabiosis at single cell resolution

2020 ◽  
Author(s):  
Róbert Pálovics ◽  
Andreas Keller ◽  
Nicholas Schaum ◽  
Weilun Tan ◽  
Tobias Fehlmann ◽  
...  
Keyword(s):  
Gene Expression ◽  
Single Cell ◽  
Disease Risk ◽  
Global Gene Expression ◽  
Cell Types ◽  
The Body ◽  
Hematopoietic Stem ◽  
Gene Sets ◽  
Genes Encoding ◽  
Systemic Understanding

Slowing or reversing biological ageing would have major implications for mitigating disease risk and maintaining vitality. While an increasing number of interventions show promise for rejuvenation, the effectiveness on disparate cell types across the body and the molecular pathways susceptible to rejuvenation remain largely unexplored. We performed single-cell RNA-sequencing on 13 organs to reveal cell type specific responses to young or aged blood in heterochronic parabiosis. Adipose mesenchymal stromal cells, hematopoietic stem cells, hepatocytes, and endothelial cells from multiple tissues appear especially responsive. On the pathway level, young blood invokes novel gene sets in addition to reversing established ageing patterns, with the global rescue of genes encoding electron transport chain subunits pinpointing a prominent role of mitochondrial function in parabiosis-mediated rejuvenation. Intriguingly, we observed an almost universal loss of gene expression with age that is largely mimicked by parabiosis: aged blood reduces global gene expression, and young blood restores it. Altogether, these data lay the groundwork for a systemic understanding of the interplay between blood-borne factors and cellular integrity.

scholarly journals Postnatal persistence of sex-dependent renal developmentally programmed structural and molecular changes in nonhuman primates

2020 ◽  
Author(s):  
Andrew C. Bishop ◽  
Kimberly D. Spradling-Reeves ◽  
Robert E. Shade ◽  
Kenneth J. Lange ◽  
Shifra Birnbaum ◽  
...  
Keyword(s):  
Gene Expression ◽  
Renal Disease ◽  
Kidney Function ◽  
Nonhuman Primates ◽  
Disease Risk ◽  
Postnatal Life ◽  
Urine Metabolites ◽  
Baboon Model ◽  
Before And After ◽  
The Impact

AbstractBackgroundPoor nutrition during development programs kidney function. No studies on postnatal consequences of decreased perinatal nutrition exist in nonhuman primates (NHP) for translation to human renal disease. Our baboon model of moderate maternal nutrient restriction (MNR) produces intrauterine growth restricted (IUGR) and programs renal fetal phenotype. We hypothesized that the IUGR phenotype persists postnatally, influencing responses to a high-fat, high-carbohydrate, high-salt (HFCS) diet.MethodsPregnant baboons ate chow (Control; CON) or 70% of control intake (MNR) from 0.16 gestation through lactation. MNR offspring were IUGR at birth. At weaning, all offspring (CON and IUGR females and males, n=3/group) ate chow. At ~4.5 years of age, blood, urine, and kidney biopsies were collected before and after a 7-week HFCS diet challenge. Kidney function, unbiased kidney gene expression, and untargeted urine metabolomics were evaluated.ResultsIUGR female and male kidney transcriptome and urine metabolome differed from CON at 3.5 years, prior to HFCS. After the challenge, we observed sex-specific and fetal exposure-specific responses in urine creatinine, urine metabolites, and renal signaling pathways.ConclusionsWe previously showed mTOR signaling dysregulation in IUGR fetal kidneys. Before HFCS, gene expression analysis indicated that dysregulation persists postnatally in IUGR females. IUGR male offspring response to HFCS showed uncoordinated signaling pathway responses suggestive of proximal tubule injury. To our knowledge, this is the first study comparing CON and IUGR postnatal juvenile NHP and the impact of fetal and postnatal life caloric mismatch. Perinatal history needs to be taken into account when assessing renal disease risk.

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