Estradiol and Hyperhomocysteinemia Are Linked Predominantly Through Part Renal Function Indicators

The relationship between serum uric acid and homocysteine is influenced by kidney function

BACKGROUND AND AIM

Prior research has established a relationship between homocysteine (Hcy) and serum uric acid (SUA) levels; however, the precise mechanisms underlying this association remain unclear. The objective of this research was to explore the correlation between SUA and Hcy and to evaluate the possible role of kidney function as a mediator in the connection between SUA and Hcy.

METHODS AND RESULTS

Consecutive enrollment of 16870 participants aged 20-60 years was conducted at the Third Xiangya Hospital of Central South University. Self-reported health questionnaires were used to gather information on health behaviors and medical backgrounds. Trained personnel performed laboratory examinations using standard methods. A mediation analysis was performed to explore the possible effect of renal function on the association between SUA and Hcy levels. Estimated glomerular filtration rate (eGFR) was used to assess kidney function. Logistic regression analysis showed that SUA levels were positively correlated with Hcy levels and hyperhomocysteinemia (HHcy) risk (p < 0.01). Subgroup analysis showed the robustness of the results. Significant mediation effects of eGFR were found in the relationship between SUA and Hcy, as demonstrated by the subsequent mediation analysis. In the overall study group, the percentage of eGFR mediated in the association between SUA and Hcy was 63.36 %, with 41.59 % and 57.59 % in women and men, respectively.

CONCLUSIONS

SUA was positively correlated with Hcy and HHcy risks, and the effects of SUA on Hcy may be mediated by renal function indicators (eGFR).

Plasma homocysteine level, estradiol level, and brain atrophy: a Mendelian randomization study

OBJECTIVES

Observational studies link elevated plasma homocysteine (Hcy) with vascular disease. Our aim was to assess the gender difference in the association between the plasma tHcy level and brain atrophy and identify the possible influencer. We employed Mendelian randomization (MR) to explore the causal relationship between plasma tHcy level, estradiol level, and brain atrophy.

METHODS

A total of 687 patients with brain atrophy were included, and gender-specific subgroup analyses in association between tHcy and brain atrophy are conducted. From genome-wide association studies, we selected genetic variants (P < 5 × 10-8) for the plasma tHcy level and estradiol level. We investigated the degree of brain atrophy (including gray matter volume and total brain volume) in the UK biobank (n = 7,916). The inverse variance-weighted and several sensitivity MR regression analyses were carried out.

RESULTS

The plasma tHcy level was significantly associated with brain atrophy for females, but not for males. An MR study showed that there was little evidence of the causal link between elevated plasma tHcy and brain atrophy. On the other hand, we found evidence to support causality for genetically decreased estradiol with higher risk of brain atrophy. Furthermore, genetic predisposition to elevated plasma tHcy was associated with a lower estradiol level.

CONCLUSIONS

The influence of estradiol on the association between tHcy and brain atrophy deserves further investigation.