Applicability of Precision Medicine Approaches to Managing Hypertension in Rural Populations

AQP4-AS1 Can Regulate the Expression of Ferroptosis-Related Regulator ALOX15 through Competitive Binding with miR-4476 in Lung Adenocarcinoma

Background  The AQP4-AS1/miR-4476-ALOX15 regulatory axis was discovered in previous studies. We aimed to investigate the regulatory mechanism of the ferroptosis-related regulator ALOX15 by AQP4-AS1 and miR-4476 in lung adenocarcinoma (LUAD) and find new targets for clinical treatment. Methods  After bioinformatics analysis, we contained one ferroptosis-related gene (FRG), namely ALOX15. MicroRNAs (miRNAs) and long noncoding RNAs were predicted by miRWalk. Furthermore, we constructed overexpressed LUAD cell lines. Real-time quantitative polymerase chain reaction and western blot were used to determine the expression of mRNA and protein, respectively. Cell Counting Kit-8 (CCK-8) and EdU assay were used to detect the cell proliferation. Double luciferase assay was used to detect the binding relationship between AQP4-AS1 and miR-4464. Results  ALOX15 was the most significantly downregulated FRG compared with normal tissues. Furthermore, protein-protein interaction network analysis indicated that the AQP4-AS1-miR-4476-ALOX15 regulatory axis might be involved in the occurrence and development of LUAD and there might be direct interaction between AQP4-AS1 and miR-4476, and miR-4476 and ALOX15. Furthermore, AQP4-AS1 and ALOX15 were significantly downregulated in the LUAD tissue and cell lines, whereas miR-4476 showed the opposite results ( p  < 0.001). AQP4-AS1 overexpression improved the ALOX15 expression in LUAD cell lines. CCK-8 and EdU assay revealed that overexpression of AQP4-AS1 and ALOX15 inhibited the LUAD cell proliferation. Double luciferase assay results indicated that there was a combination between AQP4-AS1 and miRNA-4476. In addition, we found that overexpressed AQP4-AS1 activates the ferroptosis in LUAD cell lines. Conclusions  AQP4-AS1 can regulate the expression of ALOX15 through competitive binding with miR-4476, further activate ferroptosis and inhibit the proliferation of LUAD cells.

Long non-coding RNA-associated competing endogenous RNA axes in the olfactory epithelium in schizophrenia: a bioinformatics analysis

The etiology of schizophrenia (SCZ), as a serious mental illness, is unknown. The significance of genetics in SCZ pathophysiology is yet unknown, and newly identified mechanisms involved in the regulation of gene transcription may be helpful in determining how these changes affect SCZ development and progression. In the current work, we used a bioinformatics approach to describe the role of long non-coding RNA (lncRNA)-associated competing endogenous RNAs (ceRNAs) in the olfactory epithelium (OE) samples in order to better understand the molecular regulatory processes implicated in SCZ disorders in living individuals. The Gene Expression Omnibus database was used to obtain the OE microarray dataset (GSE73129) from SCZ sufferers and control subjects, which contained information about both lncRNAs and mRNAs. The limma package of R software was used to identify the differentially expressed lncRNAs (DElncRNAs) and mRNAs (DEmRNAs). RNA interaction pairs were discovered using the Human MicroRNA Disease Database, DIANA-LncBase, and miRTarBase databases. In this study, the Pearson correlation coefficient was utilized to find positive correlations between DEmRNAs and DElncRNAs in the ceRNA network. Eventually, lncRNA-associated ceRNA axes were developed based on co-expression relations and DElncRNA-miRNA-DEmRNA interactions. This work found six potential DElncRNA-miRNA-DEmRNA loops in SCZ pathogenesis, including, SNTG2-AS1/hsa-miR-7-5p/SLC7A5, FLG-AS1/hsa-miR-34a-5p/FOSL1, LINC00960/hsa-miR-34a-5p/FOSL1, AQP4-AS1/hsa-miR-335-5p/FMN2, SOX2-OT/hsa-miR-24-3p/NOS3, and CASC2/hsa-miR-24-3p/NOS3. According to the findings, ceRNAs in OE might be promising research targets for studying SCZ molecular mechanisms. This could be a great opportunity to examine different aspects of neurodevelopment that may have been hampered early in SCZ patients.

LncRNA polymorphisms and breast cancer risk

Breast cancer (BC) is the most prevalent cancer in females and the second reason of cancer-related mortality in females in the world. It is thought to be a complex interaction of variables like personal lifestyle, climate, genetics, and reproductive factors. Many polymorphisms have been linked to cancer in genome-wide association experiments, and they are linked to long non-coding RNAs (lncRNAs). LncRNAs, which have > 200 nucleotides in their transcripts, affect many biological processes, including differentiation, migration, apoptosis, cell cycle, and cell proliferation. Different lncRNAs with tumor suppressor and oncogenic roles have been shown to have elevated expression levels in the development of BC. Single-nucleotide polymorphisms (SNPs) in lncRNAs can affect the expression level, structure, and function of lncRNAs. LncRNA polymorphisms are predictive of cancer incidence, making them useful for early detection and customized therapy control. SNPs may affect genetic susceptibility to BC. This study was set to see whether there was a link between lncRNA polymorphisms and the risk of BC. Accordingly, the individual and combined genotypes of lncRNA-related variants could predict BC and clinical and care outcomes. However, further large-scale trials of diverse ethnic groups and comprehensive health records should be performed to validate the results. Furthermore, adequate functional assessments should be carried out to shed light on the etiology of BC. DATA AVAILABILITY: Not applicable.

Targeted Metabolic Profiling and PRM Analysis of Proteins Revealed Impaired Polyunsaturated Fatty Acid Metabolism and GTP Metabolism in the Brainstem of Spontaneously Hypertensive Rats

An untargeted multi-omics study implicated the potential dysregulation of fatty acid, nucleotide, and energy metabolism in the brainstems of spontaneously hypertensive rats (SHRs). A further quantitative exploration of the alterations in the metabolic pathways is necessary for a deep understanding of the central nervous system in SHRs. Targeted metabolic profiling of 40 fatty acids (PeptideAtlas: PASS01671) and 32 metabolites of nucleotides and energy metabolism (PeptideAtlas: PASS01672) and parallel reaction monitoring analysis of 5 proteins (PeptideAtlas: PASS01673) were performed on the brainstems of SHRs (n = 8, 11 weeks old) and normotensive Wistar rats (n = 8, age-matched) using gas chromatography-mass spectrometry (GC-MS) and liquid chromatography-tandem MS. The targeted profiling results of metabolites and proteins revealed decreased polyunsaturated fatty acid (PUFA) synthesis with a significant downregulation of cis-11,14-eicosadienoic acid, cis-13,16-docosadienoic acid, and docosatetraenoate and impaired PUFA oxidation with the accumulation of γ-linolenate induced by the significantly downregulated expression of 2,4-dienoyl-CoA reductase (p < 0.05). Dysregulated GTP and ATP metabolism was observed, with significantly decreased GDP and ADP (p < 0.05) correlated with reduced GTPases of guanine nucleotide-binding protein subunit beta-1 (GNB1), transforming protein RhoA (RHOA), and Rho-related GTP-binding protein RhoB (RHOB) in the brainstem of SHRs. In addition, protein-arginine deiminase type-2 was significantly reduced in the brainstems of SHRs (p < 0.05). The aberrant PUFA and energy metabolism might help to explain the alterations in the brainstem of SHRs. The findings on both metabolites and proteins could provide systemic insights into the pathology basis of altered PUFA and energy metabolism in hypertension, especially in the central nervous system.

Association between SNP rs527616 in lncRNA AQP4-AS1 and susceptibility to breast cancer in a southern Brazilian population

Breast cancer (BC) is the leading cause of death by this disease in women worldwide. Among the factors involved in tumorigenesis, long non-coding RNAs (lncRNAs) and their differential expression have been associated. Differences in gene expression may be triggered by variations in DNA sequence, including single nucleotide polymorphisms (SNPs). In the present study, we analyzed the rs527616 (C>G), located in the lncRNA AQP4-AS1, using PCR-SSP in 306 BC patients and 312 controls, from a Brazilian population. In the BC group, the frequency found for CG heterozygotes was above the expected and the overdominant model is the best one to explain our results (OR: 1.70, IC 95%: 1.23-2.34, P<0.001). Furthermore, the SNP were associated with age at BC diagnosis and the risk genotype more frequent in the older age group. According to TCGA data, AQP4-AS1 is down-regulated in BC tissue, and the overexpression is associated with better prognoses, including Luminal A, HER2-, stage 1 of disease and smaller tumor. In conclusion, the CG genotype is associated with increased susceptibility in the southern Brazilian population. This SNP is mapped in the lncRNA AQP4-AS1, showing differential expression in BC samples. Based on these results, we emphasize the potential of the role of AQP4-AS1 in cancer.

Evaluating the Potential of Younger Cases and Older Controls Cohorts to Improve Discovery Power in Genome-Wide Association Studies of Late-Onset Diseases

For more than a decade, genome-wide association studies have been making steady progress in discovering the causal gene variants that contribute to late-onset human diseases. Polygenic late-onset diseases in an aging population display a risk allele frequency decrease at older ages, caused by individuals with higher polygenic risk scores becoming ill proportionately earlier and bringing about a change in the distribution of risk alleles between new cases and the as-yet-unaffected population. This phenomenon is most prominent for diseases characterized by high cumulative incidence and high heritability, examples of which include Alzheimer’s disease, coronary artery disease, cerebral stroke, and type 2 diabetes, while for late-onset diseases with relatively lower prevalence and heritability, exemplified by cancers, the effect is significantly lower. In this research, computer simulations have demonstrated that genome-wide association studies of late-onset polygenic diseases showing high cumulative incidence together with high initial heritability will benefit from using the youngest possible age-matched cohorts. Moreover, rather than using age-matched cohorts, study cohorts combining the youngest possible cases with the oldest possible controls may significantly improve the discovery power of genome-wide association studies.