Association of single nucleotide polymorphisms in the 5' upstream region of the C4BPA gene with essential hypertension in a northeastern Han Chinese population

Multiomics Picture of Obesity in Young Adults

Obesity is a socially significant disease that is characterized by a disproportionate accumulation of fat. It is also associated with chronic inflammation, cancer, diabetes, and other comorbidities. Investigating biomarkers and pathological processes linked to obesity is especially vital for young individuals, given their increased potential for lifestyle modifications. By comparing the genetic, proteomic, and metabolomic profiles of individuals categorized as underweight, normal, overweight, and obese, we aimed to determine which omics layer most accurately reflects the phenotypic changes in an organism that result from obesity. We profiled blood plasma samples by employing three omics methodologies. The untargeted GC×GC-MS metabolomics approach identified 313 metabolites. To augment the metabolomic dataset, we integrated a label-free HPLC-MS/MS proteomics method, leading to the identification of 708 proteins. The genomic layer encompassed the genotyping of 647,250 SNPs. Utilizing omics data, we trained sparse Partial Least Squares models to predict body mass index. Molecular features exhibiting frequently non-zero coefficients were selected as potential biomarkers, and we further explored enriched biological pathways. Proteomics was the most effective in single-omics analyses, with a median absolute error (MAE) of 5.44 ± 0.31 kg/m2, incorporating an average of 24 proteins per model. Metabolomics showed slightly lower performance (MAE = 6.06 ± 0.33 kg/m2), followed by genomics (MAE = 6.20 ± 0.34 kg/m2). As expected, multiomic models demonstrated better accuracy, particularly the combination of proteomics and metabolomics (MAE = 4.77 ± 0.33 kg/m2), while including genomics data did not enhance the results. This manuscript is the first multiomics study of obesity in a gender-balanced cohort of young adults profiled by genomic, proteomic, and metabolomic methods. The comprehensive approach provides novel insights into the molecular mechanisms of obesity, opening avenues for more targeted interventions.

Plasma C4 level was associated with mortality, cardiovascular and cerebrovascular complications in hemodialysis patients

BACKGROUND

Patients on maintenance hemodialysis (HD) exhibit a high risk of death, cardiovascular and cerebrovascular diseases (CCDs). Previous studies indicated complement activation associated with the increased risk of cardiovascular diseases in HD patients. This study aimed to explore whether the critical complement factors were associated with the adverse outcomes in HD patients.

METHODS

A total of 108 HD patients were included and followed up for 52 months. The baseline clinical characteristics and plasma C3c, C1q, CFH, CFB, C4, MAC, C5a, C3a and MBL were measured. The three endpoints were death, cardiovascular and cerebrovascular events (CCEs) and the composition of them. Univariate and multivariate Cox regression identified factors associated with the three endpoints respectively. X-tile analyses determined the optimal cut-off values for high risks. Restricted cubic spline plots illustrated the dose-response relationships. Correlations between the complement factors and risk factors for CCDs were analyzed.

RESULTS

Baseline plasma C4 was finally selected by univariate and multivariate Cox regression analyses for three endpoints, including all-cause mortality, CCEs and the composition of them. When baseline plasma C4 exceeded 0.47 (P = 0.001) or 0.44 (P = 0.018) g/L respectively, the risks for death or achieving the composite endpoint enhanced significantly. The relationships of C4 and HR for the three endpoints showed a positive linear trend. Plasma C4 had prominent correlations with blood TG (r = 0.62, P < 0.001) and HDL (r = -0.38, P < 0.001).

CONCLUSIONS

A higher baseline plasma C4 level was significantly associated with the future incidence of decease, CCEs and either of them. Plasma C4 level correlated with blood TG and HDL.

New Genetic Polymorphisms as Epidemiological Factor of Arterial Hypertension in Patients with Hyposodical Diet

Hypertension is a major public health problem, affecting more than a quarter of the world's population that causes serious cardiovascular problems. In recent years, different polymorphisms have been studied and helped to identify some candidate genes and hereditary syndromes associated to the molecular mechanisms involved in the development of hypertension. Therefore, it is important to identify these molecular mechanisms. This review exposes all the genes and polymorphisms that increase or decrease the risk of hypertension in different populations that are related to the renin angiotensin aldosterone system, G protein, salt excretion, aldosterone synthesis, lipid metabolism, mechanism of insulin resistance, vitamin metabolism, purines and sodium reabsorption. This document can be a useful tool in clinical practice, in addition to serving as a support for future research on this topic.

Association of ANRIL polymorphisms with coronary artery disease: A systemic meta-analysis

BACKGROUND

The long noncoding RNAs have gradually been reported to be an important class of RNAs with pivotal roles in the development and progression of myocardial infarction (MI). In this study, we hypothesized that genetic variant of cyclin-dependent kinase inhibitor 2B antisense RNA (ANRIL) may affect the prognosis of MI patients.

METHODS

A systematic review and meta-analysis of studies including 11,269 cases and 10,707 controls on the association of 5 ANRIL single nucleotide polymorphism and the overall risk of MI or coronary artery disease (CAD) was performed.

RESULTS

In the meta-analysis, rs4977574 A > G, rs1333040 C > T, rs1333042 A > G and rs10757274 A > G ANRIL polymorphisms were correlated with overall MI or CAD risk. No significant associations were found between ANRIL rs1333049 G > C polymorphism and CAD risk.

CONCLUSIONS

The results indicated that ANRIL polymorphism (rs4977574, rs1333040, rs1333042, and rs10757274) were more generally associated with CAD or MI risk. Further experimental studies to evaluate the limits of this hypothesis are warranted, and future functional studies are required to clarify the possible mechanisms.

Association of lncRNA polymorphisms with triglyceride and total cholesterol levels among myocardial infarction patients in Chinese population

AIM

The long noncoding RNAs (lncRNAs) have gradually been reported to be an important class of RNAs with pivotal roles in the development and progression of myocardial infarction (MI). In this study, we hypothesized that genetic variant of cyclin-dependent kinase inhibitor 2B antisense RNA (ANRIL) and metastasis-associated lung adenocarcinoma transcript 1 (MALAT1) may affect the prognosis of MI patients.

METHODS

The study included 401 Han Chinese MI patients and 409 controls. Four lncRNA tag single nucleotide polymorphisms (SNPs)-ANRIL rs9632884 and rs1537373, MALAT1 rs619586 and rs3200401-were selected. SNP genotyping was performed by an improved multiplex ligation detection reaction assay.

RESULTS

rs9632884 and rs3200401 SNPs were significantly associated with lipid levels in both controls and MI patients (P < 0.003-0.046). Several SNPs interacted with sex and age to modify total cholesterol, low-density lipoprotein cholesterol, and creatinine levels to modify the risk of MI. No association between the lncRNAs SNPs and susceptibility to MI was found (P > 0.05 for all).

CONCLUSIONS

Taken together, this study provides additional evidence that genetic variation of the ANRIL rs9632884 and MALAT1 rs3200401 can mediate lipid levels in MI patients.

Effects of Caloric Restriction with Protein Supplementation on Plasma Protein Profiles in Middle-Aged Women with Metabolic Syndrome-A Preliminary Open Study

Background: Clinical studies have demonstrated that higher protein intake based on caloric restriction (CR) alleviates metabolic abnormalities. However, no study has examined the effects of plasma protein profiles on caloric restriction with protein supplementation (CRPS) in metabolic syndrome (MetS). Therefore, using a proteomic perspective, this pilot study investigated whether CRPS ameliorated metabolic abnormalities associated with MetS in middle-aged women. Methods: Plasma samples of middle-aged women with MetS in CR (n = 7) and CRPS (n = 6) groups for a 12-week intervention were obtained and their protein profiles were analysed. Briefly, blood samples from qualified participants were drawn before and after the dietary treatment. Anthropometric, clinical, and biochemical variables were measured and correlated with plasma proteomics. Results: In results, we found that body mass index, total body fat, and fasting blood glucose decreased significantly after the interventions but were not different between the CR and CRPS groups. After liquid chromatography–tandem mass spectrometry analysis, the relative plasma levels of alpha-2-macroglobulin (A2M), C4b-binding protein alpha chain (C4BPA), complement C1r subcomponent-like protein (C1RL), complement component C6 (C6), complement component C8 gamma chain (C8G), and vitamin K-dependent protein S (PROS) were significantly different between the CRPS and CR groups. These proteins are involved in inflammation, the immune system, and coagulation responses. Moreover, blood low-density lipoprotein cholesterol levels were significantly and positively correlated with C6 plasma levels in both groups. Conclusions: These findings suggest that CRPS improves inflammatory responses in middle-aged women with MetS. Specific plasma protein expression (i.e., A2M, C4BPA, C1RL, C6, C8G, and PROS) associated with the complement system was highly correlated with fasting blood glucose (FBG), blood lipids (BLs), and body fat.

Complement C3 and C4, but not their regulators or activated products, are associated with incident metabolic syndrome: the CODAM study

PURPOSE

We investigated the associations of components of the alternative (C3, C3a, Bb, factor D [FD], factor H [FH], properdin) and the classical complement pathway (C4, C1q, C1-inhibitor [C1-INH]) with prevalent and incident metabolic syndrome in a cohort with a moderately increased risk of cardiometabolic disease.

METHODS

The study cohort was comprised of 574 participants (61% men, age 59.6 ± 7.0 years) at baseline and 489 participants after 7-year follow-up. Multiple logistic regression analyses were done to investigate the associations of concentrations of baseline plasma complement (standardized values) with prevalent and incident (in those without metabolic syndrome at baseline, n = 189) metabolic syndrome.

RESULTS

C3 (odds ratio (OR) = 1.48 [95% confidence interval: 1.02; 2.14]) and C4 (OR = 1.95 [1.32; 2.88]), but none of the other complement components were associated with incident metabolic syndrome (n = 40 cases). Notably, in the cross-sectional analyses, we did observe higher levels of C3a (OR = 1.25 [1.03; 1.52]), FH (OR = 2.93 [2.24; 3.83]), and properdin (OR = 1.88 [1.50; 2.34]), in addition to C3 (OR = 3.60 [2.73; 4.75]) and C4 (OR = 1.39 [1.13; 1.69]), in those with the metabolic syndrome compared to those without, while no association was observed for FD, Bb, C1q, or C1-INH.

CONCLUSIONS

In the cross-sectional analyses, the effects sizes (standardized regression coefficients) for C3 and C4 were similar to those of (some of) the regulators and activators, yet only C3 and C4 were associated with incident disease. These findings suggest a role for C3 and C4, but not their regulators or activated products, in the development of the metabolic syndrome.

Development and application of low-cost T-ARMS-PCR assay for AGT and CYP11B1 gene polymorphisms

Angiotensin II (Ang II: a truncated octapeptide of angiotensinogen, AGT) and 11-β-hydroxylase influence regulation of blood pressure. Dysregulation of Ang II and 11-β-hydroxylase can lead to hypertension and elevate aldosterone levels. Polymorphisms in AGT (encodes AGT) and CYP11B1 (encodes 11-β-hydroxylase) shift the paradigm from physiological to pathological. Currently, various high-throughput techniques are used to genotype these polymorphisms. These techniques require expensive infrastructure and reagents. However, in developing countries, where cost is the main limiting factor, it is not feasible to use expensive techniques. So, the aim of current study was to develop efficient low-cost method for genotyping of cardiovascular disease and hypertension associated polymorphisms of AGT (rs4762, rs5051) and CYP11B1 (rs6410). For this, tetra amplification-refractory mutation system-polymerase chain reaction (T-ARMS-PCR) method was developed and optimized for aforementioned AGT and CYP11B1 gene polymorphisms. Efficiency of T-ARMS-PCR was tested by genotyping 776 human samples. These T-ARMS-PCR assays were also validated by Sanger DNA sequencing, where 100% concordance was found, allowing the efficient use of these T-ARMS-PCR assays for polymorphism genotyping in AGT and CYP11B1 in resource limited settings. T-ARMS-PCR is low-cost, efficient and reliable assay for genotyping of AGT and CYP11B1 gene polymorphisms.