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We are analyzing https://link.springer.com/article/10.1007/s10157-024-02623-2.

Title:
Association between estrogen and kidney function: population based evidence and mutual bidirectional Mendelian randomization study | Clinical and Experimental Nephrology
Description:
Background Previous studies have suggested a potential role of estrogen in the pathophysiology of chronic kidney disease (CKD); however, the association and causality between estrogen and kidney function remain unclear. Methods The cross-sectional correlation between serum estradiol concentration and estimated glomerular filtration rate (eGFR) and urinary albumin-to-creatinine ratio (ACR) was analyzed using data from the National Health and Nutrition Examination Survey 2013–2016. Causality was tested using mutual bidirectional Mendelian randomization (MR) approaches based on six large-scale GWAS studies. Weighted generalized multivariate linear regression was employed to estimate the association between estradiol and eGFR and ACR, and a restricted cubic spline analysis was utilized to investigate potential nonlinear relationships. Results A total of 8932 participants were included. Serum estradiol concentration was positively associated with eGFR after adjusting for potential covariates (β, 0.76; 95% CI 0.24 to 1.27) and with ACR (β, 5.99; 95% CI 1.62 to 10.36). A nonlinear positive association was found between estradiol and eGFR, while an inverse "V"-shaped relationship was seen with ACR. Sensitivity analyses confirmed the stability of the relationship between estradiol and eGFR but indicated a less robust association with ACR. Stratified analysis showed that the association between estradiol and eGFR was particularly significant in populations with CKD and hypertension. All forward MR analyses demonstrated a positive causal relationship between estradiol and eGFR, but no causality was found between estradiol and ACR. No reverse causal association was observed. Conclusions Serum estradiol concentration was causally associated with eGFR. Further longitudinal research is needed to validate these findings.
Website Age:
28 years and 1 months (reg. 1997-05-29).

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  • Education
  • Science
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Content Management System {📝}

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Custom-built

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🌠 Phenomenal Traffic: 5M - 10M visitors per month


Based on our best estimate, this website will receive around 7,643,078 visitors per month in the current month.

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How Does Link.springer.com Make Money? {💸}

The income method remains a mystery to us.

Some websites aren't about earning revenue; they're built to connect communities or raise awareness. There are numerous motivations behind creating websites. This might be one of them. Link.springer.com could have a money-making trick up its sleeve, but it's undetectable for now.

Keywords {🔍}

pubmed, article, google, scholar, kidney, cas, disease, central, study, function, association, estrogen, chronic, nephrol, estradiol, analysis, data, mendelian, randomization, clin, ckd, egfr, women, hormone, risk, soc, nat, supplementary, research, wang, gwas, access, int, sex, therapy, med, renal, acr, national, health, causal, global, dis, zhang, chen, postmenopausal, file, privacy, cookies, content,

Topics {✒️}

formatted_20180517-uacr_overall-ea-nstud_18-summac_400 tgf-β1/smad signaling pathway genome-wide association meta-analyses tgf-β/smad signaling pathway month download article/chapter worldwide population-based data population-based cohort study genome-wide association study large-scale gwas studies gender-affirming hormone therapy guangliang xie & yi wang cystatin c-based egfr peripheral blood lymphocytes full article pdf population based evidence chronic kidney disease hormone replacement therapy reproductive lifespan duration experimental nephrology aims integrated traditional chinese related subjects de jong pe traditional chinese medicine mendelian randomization analysis privacy choices/manage cookies β-estradiol alleviates hypertension incident kidney diseases healthy post-menopausal women bmc endocr disord disease study highlights cardiorenal disease connection retrospective cohort study nondiabetic renal disease sensitivity analyses confirmed angii-mediated crosstalk diabetic kidney disease sex-related disparities chesnaye nc article clinical article han sex-specific associations de/datasets/teumer_2019 check access instant access gov/nchs/nhanes/ cooperative health research clinical practice guideline meta-analysis kidney function decline ebi-a-gcst90020091

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         description:Previous studies have suggested a potential role of estrogen in the pathophysiology of chronic kidney disease (CKD); however, the association and causality between estrogen and kidney function remain unclear. The cross-sectional correlation between serum estradiol concentration and estimated glomerular filtration rate (eGFR) and urinary albumin-to-creatinine ratio (ACR) was analyzed using data from the National Health and Nutrition Examination Survey 2013–2016. Causality was tested using mutual bidirectional Mendelian randomization (MR) approaches based on six large-scale GWAS studies. Weighted generalized multivariate linear regression was employed to estimate the association between estradiol and eGFR and ACR, and a restricted cubic spline analysis was utilized to investigate potential nonlinear relationships. A total of 8932 participants were included. Serum estradiol concentration was positively associated with eGFR after adjusting for potential covariates (β, 0.76; 95% CI 0.24 to 1.27) and with ACR (β, 5.99; 95% CI 1.62 to 10.36). A nonlinear positive association was found between estradiol and eGFR, while an inverse "V"-shaped relationship was seen with ACR. Sensitivity analyses confirmed the stability of the relationship between estradiol and eGFR but indicated a less robust association with ACR. Stratified analysis showed that the association between estradiol and eGFR was particularly significant in populations with CKD and hypertension. All forward MR analyses demonstrated a positive causal relationship between estradiol and eGFR, but no causality was found between estradiol and ACR. No reverse causal association was observed. Serum estradiol concentration was causally associated with eGFR. Further longitudinal research is needed to validate these findings.
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