Sodium intake and the risk of various types of cardiovascular diseases: a Mendelian randomization study

Fu, Qingming; Chen, Rumeng; Ding, Yining; Xu, Shuling; Huang, Chunxia; He, Binsheng; Jiang, Ting; Zeng, Bin; Bao, Meihua; Li, Sen

doi:10.3389/fnut.2023.1250509

Cited by 19 publications

(6 citation statements)

References 49 publications

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“…To adhere to the principles of a two-sample MR design, we sourced exposure and outcome data from distinct European populations as previously described ( 21 – 23 ). We extracted minimally adjusted GWAS summary statistics for our variables of interest from the largest available sample.…”

Section: Methodsmentioning

confidence: 99%

Assessment of potential risk factors associated with gestational diabetes mellitus: evidence from a Mendelian randomization study

Fu,

Chen,

et al. 2024

Front. Endocrinol.

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BackgroundPrevious research on the association between risk factors and gestational diabetes mellitus (GDM) primarily comprises observational studies with inconclusive results. The objective of this study is to investigate the causal relationship between 108 traits and GDM by employing a two-sample Mendelian randomization (MR) analysis to identify potential risk factors of GDM.MethodsWe conducted MR analyses to explore the relationships between traits and GDM. The genome-wide association studies (GWAS) for traits were primarily based on data from the UK Biobank (UKBB), while the GWAS for GDM utilized data from FinnGen. We employed a false discovery rate (FDR) of 5% to account for multiple comparisons.ResultsThe inverse-variance weighted (IVW) method indicated that the genetically predicted 24 risk factors were significantly associated with GDM, such as “Forced expiratory volume in 1-second (FEV1)” (OR=0.76; 95% CI: 0.63, 0.92), “Forced vital capacity (FVC)” (OR=0.74; 95% CI: 0.64, 0.87), “Usual walking pace” (OR=0.19; 95% CI: 0.09, 0.39), “Sex hormone-binding globulin (SHBG)” (OR=0.86; 95% CI: 0.78, 0.94). The sensitivity analyses with MR-Egger and weighted median methods indicated consistent results for most of the trats.ConclusionOur study has uncovered a significant causal relationship between 24 risk factors and GDM. These results offer a new theoretical foundation for preventing or mitigating the risks associated with GDM.

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Section: Methodsmentioning

confidence: 99%

Assessment of potential risk factors associated with gestational diabetes mellitus: evidence from a Mendelian randomization study

Fu,

Chen,

et al. 2024

Front. Endocrinol.

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“…To adhere to the fundamental principles of a two-sample MR design, data on exposure and outcome were collected from distinct European populations as described previously (11)(12)(13). The genome-wide association study (GWAS) datasets for 53 different exposures were extracted from sources such as the UK Biobank (UKBB) and the Genetic Investigation of ANthropometric Traits (GIANT), and can be accessed on the IEU OpenGWAS project website (https://gwas.mrcieu.ac.uk/).…”

Section: Data Sourcesmentioning

confidence: 99%

Endocrine and metabolic factors and the risk of idiopathic pulmonary fibrosis: a Mendelian randomization study

Jiang,

Chen,

et al. 2024

Front. Endocrinol.

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BackgroundPrevious observational studies have investigated the association between endocrine and metabolic factors and idiopathic pulmonary fibrosis (IPF), yet have produced inconsistent results. Therefore, it is imperative to employ the Mendelian randomization (MR) analysis method to conduct a more comprehensive investigation into the impact of endocrine and metabolic factors on IPF.MethodsThe instrumental variables (IVs) for 53 endocrine and metabolic factors were sourced from publicly accessible genome-wide association study (GWAS) databases, with GWAS summary statistics pertaining to IPF employed as the dependent variables. Causal inference analysis encompassed the utilization of three methods: inverse-variance weighted (IVW), weighted median (WM), and MR-Egger. Sensitivity analysis incorporated the implementation of MR-PRESSO and leave-one-out techniques to identify potential pleiotropy and outliers. The presence of horizontal pleiotropy and heterogeneity was evaluated through the MR-Egger intercept and Cochran’s Q statistic, respectively.ResultsThe IVW method results reveal correlations between 11 traits and IPF. After correcting for multiple comparisons, seven traits remain statistically significant. These factors include: “Weight” (OR= 1.44; 95% CI: 1.16, 1.78; P=8.71×10-4), “Body mass index (BMI)” (OR= 1.35; 95% CI: 1.13, 1.62; P=1×10-3), “Whole body fat mass” (OR= 1.40; 95% CI: 1.14, 1.74; P=1.72×10-3), “Waist circumference (WC)” (OR= 1.54; 95% CI: 1.16, 2.05; P=3.08×10-3), “Trunk fat mass (TFM)” (OR=1.35; 95% CI: 1.10,1.65; P=3.45×10-3), “Body fat percentage (BFP)” (OR= 1.55; 95% CI: 1.15,2.08; P=3.86×10-3), “Apoliprotein B (ApoB)” (OR= 0.78; 95% CI: 0.65,0.93; P=5.47×10-3). Additionally, the sensitivity analysis results confirmed the reliability of the MR results.ConclusionThe present study identified causal relationships between seven traits and IPF. Specifically, ApoB exhibited a negative impact on IPF, while the remaining six factors demonstrated a positive impact. These findings offer novel insights into the underlying etiopathological mechanisms associated with IPF.

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“…Bifunctional materials and biomaterial matrices have shown promise as replacement materials and reinforcement materials for cardiovascular tissue. Also, stem cells and biomaterial scaffolds can be used in cardiac tissue engineering, which builds tissue constructs in vitro for drug screening or implantation (Schmitt et al, 2022;Fu et al, 2023).…”

Section: Introductionmentioning

confidence: 99%

Advancements in tissue engineering for cardiovascular health: a biomedical engineering perspective

Razavi,

Soltani,

Mahmoudvand

et al. 2024

Front. Bioeng. Biotechnol.

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Myocardial infarction (MI) stands as a prominent contributor to global cardiovascular disease (CVD) mortality rates. Acute MI (AMI) can result in the loss of a large number of cardiomyocytes (CMs), which the adult heart struggles to replenish due to its limited regenerative capacity. Consequently, this deficit in CMs often precipitates severe complications such as heart failure (HF), with whole heart transplantation remaining the sole definitive treatment option, albeit constrained by inherent limitations. In response to these challenges, the integration of bio-functional materials within cardiac tissue engineering has emerged as a groundbreaking approach with significant potential for cardiac tissue replacement. Bioengineering strategies entail fortifying or substituting biological tissues through the orchestrated interplay of cells, engineering methodologies, and innovative materials. Biomaterial scaffolds, crucial in this paradigm, provide the essential microenvironment conducive to the assembly of functional cardiac tissue by encapsulating contracting cells. Indeed, the field of cardiac tissue engineering has witnessed remarkable strides, largely owing to the application of biomaterial scaffolds. However, inherent complexities persist, necessitating further exploration and innovation. This review delves into the pivotal role of biomaterial scaffolds in cardiac tissue engineering, shedding light on their utilization, challenges encountered, and promising avenues for future advancement. By critically examining the current landscape, we aim to catalyze progress toward more effective solutions for cardiac tissue regeneration and ultimately, improved outcomes for patients grappling with cardiovascular ailments.

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Sodium intake and the risk of various types of cardiovascular diseases: a Mendelian randomization study

Cited by 19 publications

References 49 publications

Assessment of potential risk factors associated with gestational diabetes mellitus: evidence from a Mendelian randomization study

Assessment of potential risk factors associated with gestational diabetes mellitus: evidence from a Mendelian randomization study

Endocrine and metabolic factors and the risk of idiopathic pulmonary fibrosis: a Mendelian randomization study

Advancements in tissue engineering for cardiovascular health: a biomedical engineering perspective

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