Identification of Global DNA Methylation Signatures in Patients of High Altitude Induced Venous Thrombo-Embolism (HA-VTE)
Srivastava, S.; Garg, I.; Kumari, B.; Yanamandra, U.; Singh, J.; Ganju, L.; Varshney, R.
Show abstract
BackgroundPathophysiology of venous thrombo-embolism (VTE) depends upon several acquired, inherited and environmental risk factors, including high altitude (HA) exposure. The present study aims to gain insights into pathophysiological mechanism(s) of high altitude induced VTE (HA-VTE) by studying global methylation signatures. MethodologyBlood samples were collected from Indian Army volunteers divided into four study groups; sea level control (SLC), sea level VTE patients (SL-VTE), high altitude control (HAC) and high altitude VTE patients (HA-VTE). Methylation patterns were studied using whole genome bisulfate sequencing. Differentially methylated genes and pathways were identified by comparing percentage methylation. ResultsHighest DM was observed in SL-VTE (1162 gene) compared to SLC where in hyper methylation was predominant (62.9%) compared to hypo methylation (37.05%). A reverse trend was observed in HA-VTE, where hypo methylation (61.69%) was predominant over hyper methylation (38.30%) in a total of 296 DM genes. Differential hypomethylation of genes involved in cell adhesion/platelet activity (CADM1, PTPRK, PDGFA) and immune response (CXCL12, IL4, IRF4, NLRP1) was observed in HA-VTE whereas genes encoding transcription factors (GSC, RPSKA1), trans membrane receptor (NOTCH2) and growth factor (TGFB2) were hypermethylated in comparison to SL-VTE. Methylation pattern of HA-VTE compared to HAC showed hypomethylation in genes involved in oxidative phosphorylation (CPOX), immune response and stress response (NDRG1), while those involved in signaling mechanisms (KALRN), neurotransmitter release (TMPRSS2) and transcription factor (ELF1) were hyper-methylated. ConclusionsOur study for the first time reveals genome wide methylation pattern in HA-VTE group where in differential hypo methylation in cell adhesion and inflammation genes was observed.
Matching journals
The top 7 journals account for 50% of the predicted probability mass.
Similar papers in this journal
- Analysis of human mitochondrial genome co-occurrence networks of Asian population at varying altitudes 95%
- Role of mitochondrial genetic interactions in determining adaptation to high altitude in human population around the globe 93%
- Exploration of phosphoproteomic association during epimorphic regeneration 93%
Similar papers in this journal
- Structural variability, expression profile and pharmacogenetics properties of TMPRSS2 gene as a potential target for COVID-19 therapy 95%
- Molecular pathways associated with Kallikrein 6 overexpression in colorectal cancer 93%
- Integrating Bioinformatics and Artificial Intelligence Methods to identify disruptive STAT1 variants impacting Protein Stability and Function 93%
Similar papers in this journal
- Analysis of serum trace elements, macro-minerals, antioxidants, malondialdehyde and immunoglobulins in seborrheic dermatitis patients: A case-control investigation 93%
- Screening of plasma IL-6 and IL-17 in Bangladeshi lung cancer patients 92%
- A small H2O-soluble ingredient of royal jelly lower cholesterol levels in liver cells by suppressing squalene epoxidase 92%
Similar papers in this journal
- In silico analysis of SNPs in human phosphofructokinase, Muscle (PFKM) gene: An apparent therapeutic target of aerobic glycolysis and cancer 94%
- Interleukin- 10 (IL-10) gene polymorphisms and prostate cancer susceptibility: evidence from a meta-analysis 94%
- Identification of Dysregulated Pathways and key genes in Human Retinal Angiogenesis using Microarray Metadata 93%
"Similar papers" are the closest papers from that journal in the model's embedding space. They show what the match is built on, but the ranking comes mostly from a classifier over the whole training set, not from these examples alone.