The dominant models of KCNJ11 E23K and KCNMB1 E65K are associated with essential hypertension (EH) in Asian

Wang, Zhancheng; Wenhui, Ji; Jiang, Yun; Wang, Lingli; Huang, Huijun; Shen, Yan; Jin, Li

doi:10.1097/md.0000000000015828

Cited by 4 publications

(3 citation statements)

References 31 publications

(45 reference statements)

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“…In addition to KCNK3 gene, there are also some studies on ion channel gene targeting therapy in Ca V 1.2, Kv1.5 and BK channels. 92,198–200 However, at present, there are still some problems in the therapeutic drugs related to ion channels. Some ion channel inhibitors have different selectivity at different concentrations.…”

Section: Discussionmentioning

confidence: 99%

“…As we have previously described, in hereditary or non‐hereditary PH patients, the gene KCNK3 encoding K 2P channel is mutated or down‐regulated, suggesting that gene targeting therapy can be undertaken. In addition to KCNK3 gene, there are also some studies on ion channel gene targeting therapy in Ca V 1.2, Kv1.5 and BK channels 92 , 198 – 200 . However, at present, there are still some problems in the therapeutic drugs related to ion channels.…”

Section: Discussionmentioning

confidence: 99%

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The mechanism of ions in pulmonary hypertension

Liu

fu²,

Tian

et al. 2021

Pulm. circ.

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Pulmonary hypertension（PH）is a kind of hemodynamic and pathophysiological state, in which the pulmonary artery pressure (PAP) rises above a certain threshold. The main pathological manifestation is pulmonary vasoconstriction and remodelling progressively. More and more studies have found that ions play a major role in the pathogenesis of PH. Many vasoactive substances, inflammatory mediators, transcription-inducing factors, apoptosis mediators, redox substances and translation modifiers can control the concentration of ions inside and outside the cell by regulating the activity of ion channels, which can regulate vascular contraction, cell proliferation, migration, apoptosis, inflammation and other functions. We all know that there are no effective drugs to treat PH. Ions are involved in the occurrence and development of PH, so it is necessary to clarify the mechanism of ions in PH as a therapeutic target for PH. The main ions involved in PH are calcium ion (Ca2+), potassium ion (K+), sodium ion (Na+) and chloride ion (Cl–). Here, we mainly discuss the distribution of these ions and their channels in pulmonary arteries and their role in the pathogenesis of PH.

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Section: Discussionmentioning

confidence: 99%

Section: Discussionmentioning

confidence: 99%

The mechanism of ions in pulmonary hypertension

Liu

fu²,

Tian

et al. 2021

Pulm. circ.

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“…Pancreatic beta-cell function [28] Essential hypertension [63] familial persistent hyperinsulinemic hypoglycaemia of infancy (PHHI) [64,65] India (Delhi, Pune, South Indians) [21,52] Europeans [28,53] UK [23] 3 Transcription factor 7-like 2 (TCF7L2)…”

Section: * 10 -7mentioning

confidence: 99%

Genetics of type 2 diabetes mellitus in Indian and Global Population: A Review

Joseph

Thirupathamma

Sathish

et al. 2022

Egypt J Med Hum Genet

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Background Non-communicable diseases such as cardiovascular diseases, respiratory diseases and diabetes contribute to the majority of deaths in India. Public health programmes on non-communicable diseases (NCD) prevention primarily target the behavioural risk factors of the population. Hereditary is known as a risk factor for most NCDs, specifically, type 2 diabetes mellitus (T2DM), and hence, understanding of the genetic markers of T2DM may facilitate prevention, early case detection and management. Main body We reviewed the studies that explored marker–trait association with type 2 diabetes mellitus globally, with emphasis on India. Globally, single nucleotide polymorphisms (SNPs) rs7903146 of Transcription Factor 7-like 2 (TCF7L2) gene was common, though there were alleles that were unique to specific populations. Within India, the state-wise data were also taken to foresee the distribution of risk/susceptible alleles. The findings from India showcased the common and unique alleles for each region. Conclusion Exploring the known and unknown genetic determinants might assist in risk prediction before the onset of behavioural risk factors and deploy prevention measures. Most studies were conducted in non-representative groups with inherent limitations such as smaller sample size or looking into only specific marker–trait associations. Genome-wide association studies using data from extensive prospective studies are required in highly prevalent regions worldwide. Further research is required to understand the singular effect and the interaction of genes in predicting diabetes mellitus and other comorbidities.

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Bioinformatics analysis of differentially expressed genes in non alcoholic fatty liver disease using next generation sequencing data

Vastrad¹

2021

Preprint

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Non alcoholic fatty liver disease (NAFLD) is the most common metabolic disease in humans, affecting the majority of individuals. In the current investigation, we aim to identify potential key genes linked with NAFLD through bioinformatics analyses of next generation sequencing (NGS) dataset. NGS dataset of GSE135251 from the Gene Expression Omnibus (GEO) database were retrieved. Differentially expressed genes (DEGs) were obtained by DESeq2 package. g:Profiler database was further used to identify the potential gene ontology (GO) and REACTOME pathways. Protein-protein interaction (PPI) network was constructed using the Hippie interactome database. miRNet and NetworkAnalyst databases were used to establish a miRNA-hub gene regulatory network and TF-hub gene regulatory network for the hub genes. Hub genes were verified based on receiver operating characteristic curve (ROC) analysis. Totally, 951 DEGs were identified including 476 up regulated genes and 475 down regulated genes screened in NAFLD and normal control. GO showed that DEGs were significantly enhanced for signaling and regulation of biological quality. REACTOME pathway analysis revealed that DEGs were enriched in signaling by interleukins and extracellular matrix organization. ESR2, JUN, PTN, PTGER3, CEBPB, IKBKG, HSPA8, SFN, CDKN1A and E2F1 were indicated as hub genes from PPI network, miRNA-hub gene regulatory network and TF-hub gene regulatory network. Furthermore, ROC analysis revealed that ESR2, JUN, PTN, PTGER3, CEBPB, IKBKG, HSPA8, SFN, CDKN1A and E2F1 might serve as diagnostic biomarkers in NAFLD. The current investigation provided insights into the molecular mechanism of NAFLD that might be useful in further investigations.

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The dominant models of KCNJ11 E23K and KCNMB1 E65K are associated with essential hypertension (EH) in Asian

Abstract: Supplemental Digital Content is available in the text

Cited by 4 publications

References 31 publications

The mechanism of ions in pulmonary hypertension

The mechanism of ions in pulmonary hypertension

Genetics of type 2 diabetes mellitus in Indian and Global Population: A Review

Bioinformatics analysis of differentially expressed genes in non alcoholic fatty liver disease using next generation sequencing data

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