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Yujia Kong

Publications and source records attributed to Yujia Kong.

2 recordsLinked to original sources

Plasma Multiomics Links Early-Life Adversity to Disease and Cardiometabolic Health: A Population-Based Cohort Study.

BACKGROUND: Childhood adversity (CA) is associated with increased cardiovascular and cardiometabolic risk, but the molecular mechanisms remain unclear. We aimed to identify CA-related metabolomic and proteomic signatures and evaluate their roles in linking CA to incident diseases. METHODS: This prospective cohort study included 153 225 participants aged 48 to 64 years. CA was assessed using the Childhood Trauma Screener-5, capturing cumulative (0-5 domains) and individual adversity exposures. Plasma metabolomics and proteomics data were integrated to derive CA-related molecular signatures. Cox proportional hazards model was used to evaluate associations between CA, molecular signatures, and 58 incident diseases and mortality. Mediation analyses quantified the role of multiomics signatures. RESULTS: Each additional CA domain was associated with higher risk of 49 of 58 incident diseases (hazard ratios [HRs], 1.024-1.338) and a 7.3% higher all-cause mortality risk. Focusing on cardiometabolic health, the CA-related metabolic and proteomic signatures were independently associated with incident disease. Per 1-SD increase in the cumulative CA metabolic signature, the highest observed HR was 1.313 (95% CI, 1.278-1.349) for incident diabetes, and the risk for hypertension was also increased (HR, 1.136 95% CI, 1.114-1.159). Similarly, the proteomic signature was strongly associated with incident diabetes (HR, 1.645 95% CI, 1.489-1.818) and hypertension (HR, 1.223 95% CI, 1.155-1.295). The cumulative CA metabolic and proteomic signatures mediated up to 25.5% and 46.8% of the association with hypertension, respectively. CONCLUSIONS: CA is associated with a broad spectrum of diseases and mortality, with particularly strong links to cardiometabolic health. Multiomics signatures partially mediated these associations.

Humans

Exploring Causal Links Between 91 Circulating Inflammatory Proteins and Hashimoto's Thyroiditis: A Bidirectional Mendelian Randomization Study.

BACKGROUND: Increasing evidence has linked inflammation to Hashimoto's thyroiditis (HT) etiology. However, the causal role of circulating inflammatory proteins in HT remains uncertain. To investigate this, we conducted a bidirectional Mendelian randomization (MR) study. METHODS: Genetic data for 91 inflammatory proteins and HT were sourced from publicly available GWAS databases. The PhenoScanner database was then searched for pleiotropic SNPs associated with potential confounders. Inverse variance weighted (IVW) analysis was used as the primary analysis, simultaneously supplemented by five sensitivity analyses to strengthen the results. RESULTS: The results revealed that, after false discovery rate (FDR) correction, interleukin (IL)-12p40 was causally associated with increased risk of HT (OR [95% CI] = 1.295 [1.172, 1.431], p = 3.66 × 10-7, PFDR = 3.33×10-5). Conversely, none of the inflammatory proteins was a consequence of HT. CONCLUSION: This study suggests that IL-12p40 is probably one of the factors correlated with HT etiology, contributing to a better understanding of the pathogenesis of HT and underscoring the potential for therapeutic interventions targeting inflammatory proteins.

Humans