Interplay between BMI, neutrophil, triglyceride and uric acid: a case-control study and bidirectional multivariate mendelian randomization analysis

Abstract Background This study aims to explore the interplay between body mass index (BMI), neutrophils, triglyceride levels, and uric acid (UA). Understanding the causal correlation between UA and health indicators, specifically its association with the body’s inflammatory conditions, is crucial fo...

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Main Authors: Haoyuan Lyu, Na Fan, Hao Wen, Xin Zhang, Herong Mao, Qinglai Bian, Jiaxu Chen
Format: Article
Language:English
Published: BMC 2025-01-01
Series:Nutrition & Metabolism
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Online Access:https://doi.org/10.1186/s12986-025-00896-2
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author Haoyuan Lyu
Na Fan
Hao Wen
Xin Zhang
Herong Mao
Qinglai Bian
Jiaxu Chen
author_facet Haoyuan Lyu
Na Fan
Hao Wen
Xin Zhang
Herong Mao
Qinglai Bian
Jiaxu Chen
author_sort Haoyuan Lyu
collection DOAJ
description Abstract Background This study aims to explore the interplay between body mass index (BMI), neutrophils, triglyceride levels, and uric acid (UA). Understanding the causal correlation between UA and health indicators, specifically its association with the body’s inflammatory conditions, is crucial for preventing and managing various diseases. Methods A retrospective analysis was conducted on 4,286 cases utilizing the Spearman correlation method. BMI, neutrophil count, and triglyceride levels were determined as key exposure factors. To further investigate the causal correlation, a two-sample Mendelian randomization(MR) design was utilized, leveraging data from genome-wide association study (GWAS). Within this framework, and multivariable Mendelian randomization(MVMR) was applied to explore the linkage between multiple genetic variants and complex traits. Results The study primarily focused on UA, employing genetic variation as a natural tool to assess the causal impact of various factors on UA. Spearman correlation analysis revealed significant association between UA and BMI (ρ = 0.230,p<0.01), neutrophils (ρ = 0.164,p<0.01), and triglyceride levels (ρ = 0.154,p<0.01). Additionally, two-sample MR analysis affirmed a reciprocal causal association between neutrophils and UA (OR = 1.035,95%CI:1.009–1.061,p = 0.008), as well as positive causal connection between UA and both BMI (OR = 1.083,95%CI:1.042–1.126,p<0.001) and triglyceride levels (OR = 1.090,95%CI:1.037–1.146,p<0.001). Neutrophils also demonstrated a positive causal linkage with BMI (OR = 1.034,95%CI:1.009–1.078,p = 0.012) and triglyceride levels (OR = 1.077,95%CI:1.033–1.122,p<0.001), and BMI exhibited a similar causal association with triglyceride levels (OR = 1.300,95%CI:1.212–1.385,p<0.001). These findings shed light on the causal networks connecting UA, BMI, neutrophils, and triglyceride levels. By integrating Spearman correlation analysis with various MR study designs, this study provided a robust framework for identifying key factors influencing hyperuricemia and related health issues, thereby enhancing our understanding of the interplay between inflammatory markers and these health indicators. Conclusions Our study presents strong evidence of the complex interconnection between BMI, neutrophils, triglyceride, and UA, revealing complex causal links and highlighting potential inflammatory states as key mediators. The findings may contribute to a better understanding of these factors and potentially lead to improved clinical outcomes and patients’ health.
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spelling doaj-art-e23369d9dab34a31a1f40c1c79890e9c2025-02-02T12:11:46ZengBMCNutrition & Metabolism1743-70752025-01-0122111610.1186/s12986-025-00896-2Interplay between BMI, neutrophil, triglyceride and uric acid: a case-control study and bidirectional multivariate mendelian randomization analysisHaoyuan Lyu0Na Fan1Hao Wen2Xin Zhang3Herong Mao4Qinglai Bian5Jiaxu Chen6School of Basic Medical Sciences, Hubei University of Chinese MedicineHubei Shizhen LaboratoryFirst Clinical College, Hubei University of Chinese MedicineHubei Shizhen LaboratorySchool of Foreign Languages, Hubei University of Chinese MedicineSchool of Basic Medical Sciences, Hubei University of Chinese MedicineSchool of Basic Medical Sciences, Hubei University of Chinese MedicineAbstract Background This study aims to explore the interplay between body mass index (BMI), neutrophils, triglyceride levels, and uric acid (UA). Understanding the causal correlation between UA and health indicators, specifically its association with the body’s inflammatory conditions, is crucial for preventing and managing various diseases. Methods A retrospective analysis was conducted on 4,286 cases utilizing the Spearman correlation method. BMI, neutrophil count, and triglyceride levels were determined as key exposure factors. To further investigate the causal correlation, a two-sample Mendelian randomization(MR) design was utilized, leveraging data from genome-wide association study (GWAS). Within this framework, and multivariable Mendelian randomization(MVMR) was applied to explore the linkage between multiple genetic variants and complex traits. Results The study primarily focused on UA, employing genetic variation as a natural tool to assess the causal impact of various factors on UA. Spearman correlation analysis revealed significant association between UA and BMI (ρ = 0.230,p<0.01), neutrophils (ρ = 0.164,p<0.01), and triglyceride levels (ρ = 0.154,p<0.01). Additionally, two-sample MR analysis affirmed a reciprocal causal association between neutrophils and UA (OR = 1.035,95%CI:1.009–1.061,p = 0.008), as well as positive causal connection between UA and both BMI (OR = 1.083,95%CI:1.042–1.126,p<0.001) and triglyceride levels (OR = 1.090,95%CI:1.037–1.146,p<0.001). Neutrophils also demonstrated a positive causal linkage with BMI (OR = 1.034,95%CI:1.009–1.078,p = 0.012) and triglyceride levels (OR = 1.077,95%CI:1.033–1.122,p<0.001), and BMI exhibited a similar causal association with triglyceride levels (OR = 1.300,95%CI:1.212–1.385,p<0.001). These findings shed light on the causal networks connecting UA, BMI, neutrophils, and triglyceride levels. By integrating Spearman correlation analysis with various MR study designs, this study provided a robust framework for identifying key factors influencing hyperuricemia and related health issues, thereby enhancing our understanding of the interplay between inflammatory markers and these health indicators. Conclusions Our study presents strong evidence of the complex interconnection between BMI, neutrophils, triglyceride, and UA, revealing complex causal links and highlighting potential inflammatory states as key mediators. The findings may contribute to a better understanding of these factors and potentially lead to improved clinical outcomes and patients’ health.https://doi.org/10.1186/s12986-025-00896-2Uric acidBMINeutrophilTriglycerideMendelian randomizationInflammation
spellingShingle Haoyuan Lyu
Na Fan
Hao Wen
Xin Zhang
Herong Mao
Qinglai Bian
Jiaxu Chen
Interplay between BMI, neutrophil, triglyceride and uric acid: a case-control study and bidirectional multivariate mendelian randomization analysis
Nutrition & Metabolism
Uric acid
BMI
Neutrophil
Triglyceride
Mendelian randomization
Inflammation
title Interplay between BMI, neutrophil, triglyceride and uric acid: a case-control study and bidirectional multivariate mendelian randomization analysis
title_full Interplay between BMI, neutrophil, triglyceride and uric acid: a case-control study and bidirectional multivariate mendelian randomization analysis
title_fullStr Interplay between BMI, neutrophil, triglyceride and uric acid: a case-control study and bidirectional multivariate mendelian randomization analysis
title_full_unstemmed Interplay between BMI, neutrophil, triglyceride and uric acid: a case-control study and bidirectional multivariate mendelian randomization analysis
title_short Interplay between BMI, neutrophil, triglyceride and uric acid: a case-control study and bidirectional multivariate mendelian randomization analysis
title_sort interplay between bmi neutrophil triglyceride and uric acid a case control study and bidirectional multivariate mendelian randomization analysis
topic Uric acid
BMI
Neutrophil
Triglyceride
Mendelian randomization
Inflammation
url https://doi.org/10.1186/s12986-025-00896-2
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