Lipids in Health and Disease最新文献

{"title":"Deoxycholic acid ameliorates obesity and insulin resistance by enhancing lipolysis and thermogenesis.","authors":"Gulinigaer Tuerhongjiang, Yang Li, Zixuan Meng, Xiyu Gao, Yuanyuan Wei, Gulinigaer Muhetaer, Peiqi Li, Yi Zhang, Jiaming Zhang, Yue Wu, Junhui Liu","doi":"10.1186/s12944-025-02485-x","DOIUrl":"10.1186/s12944-025-02485-x","url":null,"abstract":"<p><strong>Background: </strong>Bile acids are essential for energy metabolism. Deoxycholic acid (DCA) in particular is associated with metabolic disorders such as type 2 diabetes mellitus (T2DM) and obesity. However, the direct effects of DCA on metabolism and body composition have yet to be studied in depth.</p><p><strong>Methods: </strong>Targeted metabolomics analysis of human feces was performed. C57BL/6J mice fed a high-fat diet (HFD) were gavaged with DCA, and the effects were measured by metabolic tolerance tests and metabolic cages. Body composition was evaluated by echoMRI. To evaluate the beneficial function of DCA on thermogenesis and lipolysis, histological staining and qPCR were carried out.</p><p><strong>Results: </strong>There was negative correlation between fecal DCA levels and serum glucose levels, as well as the Homeostatic Model Assessment for Insulin Resistance (HOMA) index in humans. Our findings confirmed that DCA could ameliorate glucose metabolism and insulin sensitivity in mice fed with HFD. DCA supplementation alleviated HFD-induced obesity and decreased the fat mass significantly by promoting lipolysis. Moreover, DCA significantly enhanced energy expenditure and thermogenesis in brown adipose tissue in mice with obesity induced by HFD.</p><p><strong>Conclusions: </strong>Based on the results of our mouse model, DCA may have applications in alleviating obesity and its related metabolic disorders in humans.</p>","PeriodicalId":18073,"journal":{"name":"Lipids in Health and Disease","volume":"24 1","pages":"70"},"PeriodicalIF":3.9,"publicationDate":"2025-02-25","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://www.ncbi.nlm.nih.gov/pmc/articles/PMC11852518/pdf/","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"143501874","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":2,"RegionCategory":"医学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"OA","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

{"title":"Novel lipid profiles and atherosclerotic cardiovascular disease risk: insights from a latent profile analysis.","authors":"Hongli Wan, Haisheng Wu, Yuxi Wei, Simin Wang, Yuqiang Ji","doi":"10.1186/s12944-025-02471-3","DOIUrl":"10.1186/s12944-025-02471-3","url":null,"abstract":"<p><strong>Background: </strong>Dyslipidemia is a key contributor to atherosclerotic cardiovascular disease (ASCVD). Despite the well-established correlation between abnormal lipid metabolism and ASCVD, existing diagnostic and predictive models based on lipid indices alone or in combination often exhibit suboptimal sensitivity and specificity. There is an urgent need for improved lipid indicators or novel combinations thereof.</p><p><strong>Methods: </strong>The study included 898 cardiology inpatients who underwent coronary angiography (CAG). A latent profile analysis (LPA) was utilized to delineate lipid profiles on the basis of four routine lipid indices (total cholesterol (TC), low-density lipoprotein (LDL), high-density lipoprotein (HDL), and triglycerides (TG)) and the triglyceride‒glucose (TyG) index as a proxy for the TG. Logistic regression models were used to assess the correlations between lipid profiles and the occurrence and severity of coronary artery stenosis (CAS and severe CAS), as well as the occurrence of coronary heart disease (CHD). Predictive modeling subsequently validated the predictive power of the lipid profiles for cardiovascular outcomes.</p><p><strong>Results: </strong>The LPA delineated four distinct lipid profiles: Profile 1 (relatively high HDL with the lowest TC, LDL and TyG, 41.20%), Profile 2 (relatively high TC, LDL, and TyG with the lowest HDL, 36.42%), Profile 3 (relatively low TC, LDL and TyG with relatively high HDL, 18.93%), and Profile 4 (the highest TC, LDL, and TyG with the highest HDL, 3.45%). Profile 1 was associated with the lowest ASCVD risk, whereas Profile 2 posed the highest risk for all adverse outcomes. The risk associated with Profile 3 and Profile 4 varied depending on the outcome. Profile 4 presented a lower odds ratio (OR) for CAS than did Profile 3, whereas Profile 3 presented a lower OR for severe CAS and CHD. The lipid profile variable substantially outperformed individual lipid indices or their combinations in predicting cardiovascular outcomes.</p><p><strong>Conclusions: </strong>Four distinct lipid profiles were identified among patients, with a particular profile characterized by lower levels of TC, LDL, and TyG, as well as a lower HDL, emerging as the most predictive of adverse cardiovascular outcomes. This underscores the critical need for a thorough lipid profile analysis to pinpoint individuals at heightened risk for adverse cardiovascular outcomes.</p>","PeriodicalId":18073,"journal":{"name":"Lipids in Health and Disease","volume":"24 1","pages":"71"},"PeriodicalIF":3.9,"publicationDate":"2025-02-25","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://www.ncbi.nlm.nih.gov/pmc/articles/PMC11854406/pdf/","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"143501878","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":2,"RegionCategory":"医学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"OA","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

{"title":"Plasma lipidomic analysis reveals disruption of ether phosphatidylcholine biosynthesis and facilitates early detection of hepatitis B-related hepatocellular carcinoma.","authors":"Yuyao Yuan, Donghao Yin, Xuemeng Yang, Di Liu, Hui Shan, Juan Luo, Xiuhui Li, Yuxin Yin","doi":"10.1186/s12944-025-02475-z","DOIUrl":"10.1186/s12944-025-02475-z","url":null,"abstract":"<p><strong>Background: </strong>Hepatocellular carcinoma (HCC) is the third deadliest malignant tumor worldwide. Most patients are initially diagnosed as HCC at advanced stages and are too late for radical treatment by surgery, resulting in poor prognosis. Over 50% of the HCC patients are caused by hepatitis B virus (HBV) infection. Therefore, effective early identification of HCC in the high-risk population with HBV infection is crucial for early intervention of HCC.</p><p><strong>Methods: </strong>We employed plasma lipidomics to identify critical lipid classes associated with tumorigenesis in the high-risk population with HBV infection. Potential regulatory mechanisms are validated at multi-omic levels. A machine learning algorithm is used for feature selection and diagnostic modelling, and performance of the models is evaluated by ROC curves.</p><p><strong>Results: </strong>We unveiled varied profiles of plasma lipid metabolites in a cohort of 57 HBV-related HCC subjects, 57 HBV-related liver cirrhosis (LC) subjects and 61 chronic hepatitis B (CHB) subjects with matched age, sex and HBV status. We identified a correlation of the ether phosphatidylcholine (PC) synthesis with hepatocarcinogenesis in patients with HBV-related liver diseases. The diagnostic models achieved an area under ROC curve (AUC) of 0.849 for discriminating HCC from CHB and an AUC of 0.829 for discriminating HCC from LC.</p><p><strong>Conclusions: </strong>We illustrate the role of ether PC in hepatocarcinogenesis upon HBV infection and provide novel effective markers for early detection of HCC in a cohort with HBV infection.</p>","PeriodicalId":18073,"journal":{"name":"Lipids in Health and Disease","volume":"24 1","pages":"69"},"PeriodicalIF":3.9,"publicationDate":"2025-02-24","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://www.ncbi.nlm.nih.gov/pmc/articles/PMC11849150/pdf/","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"143492644","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":2,"RegionCategory":"医学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"OA","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

{"title":"Trimester-specific reference intervals for blood lipid levels and their associations with adverse pregnancy outcomes in Southeast China.","authors":"Lili Yang, Zhaozhen Liu, Jiayi Chen, Chong Miao, Qingxiu Li, Jinying Chen, Wenjuan Liu, Haiyan Gao, Wei Li, Zhengqin Wu, Bin Sun, Yibing Zhu, Haibo Li","doi":"10.1186/s12944-025-02494-w","DOIUrl":"10.1186/s12944-025-02494-w","url":null,"abstract":"<p><strong>Background: </strong>Trimester-specific reference intervals (TSRIs) for maternal lipid profiles should be determined, and the impact of dyslipidemia on adverse pregnancy outcomes (APOs) should be estimated.</p><p><strong>Methods: </strong>Data from 25,081 pregnant women in a large Southeast Chinese cohort were collected. Serial lipid profiling was performed throughout gestation, with measurements obtained during the first, second, and third trimesters, as well as within 24 h of delivery. The truncated maximum likelihood (TML) method, the Hoffman method, and inverse modelling were employed to establish TSRIs for lipids, with TML as the primary method. The associations of dyslipidemia with APOs were investigated by logistic regressions within the setting of TSRIs for various lipids.</p><p><strong>Results: </strong>The TSRIs established by the TML method were as follows: 3.36-6.06, 4.19-7.89, 4.60-8.97, and 4.41-8.79 mmol/L for total cholesterol; 0.66-2.32, 1.11-3.75, 1.49-4.77, and 1.61-6.14 mmol/L for triglycerides; 1.42-3.61, 1.94-5.13, 1.95-5.39, and 1.86-5.50 mmol/L for low-density lipoprotein cholesterol; 1.11-2.31, 1.30-2.75, 1.24-2.59, and 1.20-2.65 mmol/L for high-density lipoprotein cholesterol; 1.89-4.20, 2.59-5.85, 2.87-6.17, and 2.88-6.78 mmol/L for non-high-density lipoprotein cholesterol; 1.04-1.96, 1.25-2.41, 1.23-2.46, and 1.25-2.47 g/L for apolipoprotein A1; 0.43-0.82, 0.63-1.17, 0.65-1.55, and 0.79-1.77 g/L for apolipoprotein B; and 0.27-0.79, 0.35-0.94, 0.39-1.11, and 0.40-1.15 for the apolipoprotein B and apolipoprotein A1 ratio from the first trimester to the delivery period, respectively. The results of the Hoffman and inverse modelling methods closely aligned with those of the TML method. In pregnant women, lipid levels that deviate above or below the established TSRIs are significantly associated with the occurrence of APOs.</p><p><strong>Conclusion: </strong>TSRIs are recommended for the identification and management of dyslipidemia during pregnancy. Inappropriate maternal blood lipid levels are associated with an increased risk of APOs.</p>","PeriodicalId":18073,"journal":{"name":"Lipids in Health and Disease","volume":"24 1","pages":"68"},"PeriodicalIF":3.9,"publicationDate":"2025-02-22","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://www.ncbi.nlm.nih.gov/pmc/articles/PMC11846285/pdf/","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"143476823","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":2,"RegionCategory":"医学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"OA","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

{"title":"Lipids dysregulation in diseases: core concepts, targets and treatment strategies.","authors":"Tikam Chand Dakal, Feng Xiao, Chandra Kanta Bhusal, Poorna Chandrika Sabapathy, Rakesh Segal, Juan Chen, Xiaodong Bai","doi":"10.1186/s12944-024-02425-1","DOIUrl":"10.1186/s12944-024-02425-1","url":null,"abstract":"<p><p>Lipid metabolism is a well-regulated process essential for maintaining cellular functions and energy homeostasis. Dysregulation of lipid metabolism is associated with various conditions, including cardiovascular diseases, neurodegenerative disorders, and metabolic syndromes. This review explores the mechanisms underlying lipid metabolism, emphasizing the roles of key lipid species such as triglycerides, phospholipids, sphingolipids, and sterols in cellular physiology and pathophysiology. It also examines the genetic and environmental factors contributing to lipid dysregulation and the challenges of diagnosing and managing lipid-related disorders. Recent advancements in lipid-lowering therapies, including PCSK9 inhibitors, ezetimibe, bempedoic acid, and olpasiran, provide promising treatment options. However, these advancements are accompanied by challenges related to cost, accessibility, and patient adherence. The review highlights the need for personalized medicine approaches to address the interplay between genetics and environmental factors in lipid metabolism. As lipidomics and advanced diagnostic tools continue to progress, a deeper understanding of lipid-related disorders could pave the way for more effective therapeutic strategies.</p>","PeriodicalId":18073,"journal":{"name":"Lipids in Health and Disease","volume":"24 1","pages":"61"},"PeriodicalIF":3.9,"publicationDate":"2025-02-21","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://www.ncbi.nlm.nih.gov/pmc/articles/PMC11843775/pdf/","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"143472610","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":2,"RegionCategory":"医学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"OA","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

{"title":"Examining the dietary contributions of lipids to pancreatic cancer burden (1990-2021): incidence trends and future projections.","authors":"Kexin Jiang, Zhirong Zhao, Mu Yuan, Hua Ji, Yiwen Zhao, Hanyu Ding, Jiajie Feng, Yongjiang Zhou, Ruiwu Dai","doi":"10.1186/s12944-025-02468-y","DOIUrl":"10.1186/s12944-025-02468-y","url":null,"abstract":"<p><strong>Background: </strong>Pancreatic cancer (PC) ranks sixth globally among cancer deaths, imposing a significant burden on healthcare systems worldwide. Although diet is known to be a major risk factor, Although diet is a well-established risk factor for PC, the precise dietary components linked to the disease remain inconclusive, with studies showing varying results across different populations and regions. This study addresses this gap through a comprehensive analysis of PC incidence trends from 1990 to 2021, with a specific focus on associations with age, dietary patterns, and socio-demographic determinants.</p><p><strong>Methods: </strong>The data utilized in this study were obtained from the 2021 Global Burden of Disease (GBD) results database, updated on May 16, 2024. Unlike traditional single-variable correlation analyses, a Bayesian generalized linear model was applied to assess the association between food intake and disease incidence during the period 1990-2021. To account for variations related to year and region, these variables were incorporated as covariates in the model, allowing for a more nuanced and comprehensive analysis of the background factors. Finally, the \"BAPC\" package was employed to project age-standardized incidence rates of PC through the year 2051.</p><p><strong>Results: </strong>The global incidence of PC increased from 3.90 per 100,000 people (95% CI: 3.69, 4.08) in 1990 to 6.44 per 100,000 (95% CI: 5.86, 6.93) in 2021. The analysis revealed significant associations between PC incidence and the intake of nuts, omega-3 fatty acids, polyunsaturated fatty acids (PUFA), trans fats, dietary sodium, and calcium. In typical countries, higher intake of nuts and PUFA was associated with a reduced incidence of PC, while trans fats were positively correlated with increased incidence. The age-standardized Bayesian Age-Period-Cohort (BAPC) prediction indicates that the incidence rates of PC will show a downward trend after 2021.</p><p><strong>Conclusions: </strong>From 1990 to 2021, the global incidence of PC exhibited a rapid upward trend, suggesting an increasing global healthcare burden. The findings of this study suggest that dietary lipid intake is significantly associated with PC incidence at a global level. This finding underscores the importance of dietary fat composition, particularly in the context of pancreatic cancer prevention, suggesting that individuals should pay attention to the types and sources of fats in their diets to mitigate disease risk.</p>","PeriodicalId":18073,"journal":{"name":"Lipids in Health and Disease","volume":"24 1","pages":"62"},"PeriodicalIF":3.9,"publicationDate":"2025-02-21","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://www.ncbi.nlm.nih.gov/pmc/articles/PMC11844042/pdf/","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"143472542","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":2,"RegionCategory":"医学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"OA","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

{"title":"Correction: Preclinical advance in nanoliposomemediated photothermal therapy in liver cancer.","authors":"Lixuan Tang, Xiao Yang, Liwen He, Chaogeng Zhu, Qingshan Chen","doi":"10.1186/s12944-025-02481-1","DOIUrl":"10.1186/s12944-025-02481-1","url":null,"abstract":"","PeriodicalId":18073,"journal":{"name":"Lipids in Health and Disease","volume":"24 1","pages":"60"},"PeriodicalIF":3.9,"publicationDate":"2025-02-21","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://www.ncbi.nlm.nih.gov/pmc/articles/PMC11844174/pdf/","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"143472541","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":2,"RegionCategory":"医学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"OA","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

{"title":"Association between plasma short-chain fatty acids and inflammation in human immunodeficiency virus-associated neurocognitive disorder: a pilot study.","authors":"Xue Chen, Jiaqi Wei, Ling Zhang, Hu Wang, Yang Zhang, Zhen Li, Xia Wang, Lifeng Liu, Yulin Zhang, Tong Zhang","doi":"10.1186/s12944-025-02477-x","DOIUrl":"10.1186/s12944-025-02477-x","url":null,"abstract":"<p><strong>Background and aims: </strong>Short-chain fatty acids (SCFAs), key metabolites produced by gut microbiota, have neuroprotective effects in neurodegenerative diseases by modulating immune responses. However, their role in human immunodeficiency virus (HIV)-associated neurocognitive disorder (HAND) remains largely unexplored.</p><p><strong>Methods: </strong>We recruited HAND patients, HIV Control, and healthy controls (HC). Plasma SCFAs and SCFA-producing gut microbiota were quantified via gas chromatography-mass spectrometry and fecal metagenomic analysis. Inflammatory cytokine levels were measured using liquid chromatography. Receiver operating characteristic (ROC) curves were generated to evaluate the predictive accuracy of SCFAs for HAND.</p><p><strong>Results: </strong>Plasma SCFAs were significantly reduced in HAND patients, correlating with a decrease in SCFA-producing gut bacteria, such as Prevotella and its related species. Reduced SCFAs were positively correlated with pro-inflammatory cytokines and cognitive impairment, while being negatively correlated with anti-inflammatory cytokines. ROC curve analysis demonstrated that several SCFAs exhibited strong predictive accuracy for HAND status.</p><p><strong>Conclusions: </strong>SCFAs may influence cognitive function by modulating inflammatory responses, and identifies plasma SCFAs as potential biomarkers and therapeutic targets for HAND. Further investigation is needed to delineate the mechanisms that SCFAs influence HAND pathology.</p>","PeriodicalId":18073,"journal":{"name":"Lipids in Health and Disease","volume":"24 1","pages":"66"},"PeriodicalIF":3.9,"publicationDate":"2025-02-21","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://www.ncbi.nlm.nih.gov/pmc/articles/PMC11846350/pdf/","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"143472539","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":2,"RegionCategory":"医学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"OA","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

{"title":"A LASSO-derived model for the prediction of nonattainment of target LDL-C reduction with PCSK9 inhibitors in patients with atherosclerotic cardiovascular disease.","authors":"Xiaochun Duan, Mengdi Zhang, Xiaodong Sun, Yang Lin, Wenxing Peng","doi":"10.1186/s12944-025-02488-8","DOIUrl":"10.1186/s12944-025-02488-8","url":null,"abstract":"<p><strong>Background: </strong>Proprotein convertase subtilisin/kexin type 9 (PCSK9) inhibitors have demonstrated significant efficacy in lowering low-density lipoprotein cholesterol (LDL-C) levels in patients with atherosclerotic cardiovascular disease (ASCVD), but some fail to achieve the target levels. This study aimed to explore the potential risk factors associated with this nonattainment of target LDL-C reduction (NTR-LDLC) and develop a prediction model.</p><p><strong>Methods: </strong>The population was randomly divided into derivation and verification subsets in a 7:3 ratio. Utilizing the Least Absolute Shrinkage and Selection Operator (LASSO) regression, we filtered the variables within the derivation set. Subsequently, we assessed the model's predictive accuracy for the NTR-LDLC in both subsets through the application of decision curve analysis (DCA) and the plotting of receiver operating characteristic (ROC) curves.</p><p><strong>Results: </strong>The study enrolled 748 patients, with 115 individuals experiencing NTR-LDLC. Using LASSO regression, five significant predictive factors associated with NTR-LDLC were identified: statin therapy, diastolic blood pressure (DBP), alanine aminotransferase (ALT), total cholesterol (TC), and LDL-C. Based on these results, a nomogram prediction model was constructed and validated, showing predictive accuracy with the area under the ROC curve (AUC) of 0.718 (95% confidence interval [CI]: 0.657 - 0.779) and 0.703 (95% CI: 0.605 - 0.801) for the derivation and validation sets, respectively.</p><p><strong>Conclusions: </strong>This study presents a LASSO-derived predictive model that can be used to predict the risk of NTR-LDLC with PCSK9 inhibitors in patients with ASCVD.</p>","PeriodicalId":18073,"journal":{"name":"Lipids in Health and Disease","volume":"24 1","pages":"65"},"PeriodicalIF":3.9,"publicationDate":"2025-02-21","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://www.ncbi.nlm.nih.gov/pmc/articles/PMC11846231/pdf/","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"143476822","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":2,"RegionCategory":"医学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"OA","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

{"title":"Inflammatory burden index (IBI) and body roundness index (BRI) in gallstone risk prediction: insights from NHANES 2017-2020.","authors":"Yuting Gu, Zhanyi Zhou, Xuan Zhao, Xiaolu Ye, Keyi Qin, Jiahui Liu, Xiao Zhang, Yunxi Ji","doi":"10.1186/s12944-025-02472-2","DOIUrl":"10.1186/s12944-025-02472-2","url":null,"abstract":"<p><strong>Background: </strong>The Inflammatory Load Index (IBI) and Body Roundness Index (BRI) were employed to evaluate the systemic inflammatory status and body fat. This study aims to elucidate the association between IBI and the prevalence of gallstones, as well as to analyze the mediating role of BRI in this association.</p><p><strong>Methods: </strong>Data from the National Health and Nutrition Examination Survey (NHANES) (2017-2020) were utilized in our cross-sectional study. A total of 2598 participants aged ≥ 20 years were enrolled. The Boruta algorithm, a supervised classification feature selection method, is leveraged to identify the confounding variables most strongly associated with the prevalence of gallstones. Weighted multivariate logistic regression, restricted cubic splines (RCS), and subgroup analyses were employed to investigate the association between IBI and gallstones, assess the presence of a linear association, and evaluate the effect of IBI on gallstone risk across different populations. Finally, the mediating effect of BRI was examined.</p><p><strong>Results: </strong>In the fully adjusted model, when IBI was in the highest tertile, each unit increase in IBI (corresponding to an increase of 1 in the natural logarithm of IBI) was linked to a 110.8% higher prevalence of gallstones (OR = 2.108, 95% CI: 1.109-4.005; P = 0.028). The odds ratio for gallstones increased with higher IBI levels across unadjusted, partially adjusted, and fully adjusted models (P for trend < 0.05). This positive association was confirmed to be linear by the RCS curve (P for nonlinear = 0.887). Subgroup analysis indicated that the risk of gallstones was significantly elevated in individuals aged ≥ 60, females, and those with a Poverty-to-Income Ratio (PIR) ≥ 2 (P < 0.05). Mediation analysis revealed that IBI had a significant indirect effect on gallstone prevalence through BRI, with an effect size of 0.0129 (95% CI: 0.0121-0.0136; P < 0.001), and the mediation contributed to 33.24% of the total effect.</p><p><strong>Conclusions: </strong>This study demonstrates a significant linear positive relation of IBI to gallstone prevalence. Furthermore, BRI mediates the effect of IBI on gallstone risk. These findings provide a more precise inflammatory marker for gallstone prevention and treatment.</p><p><strong>Trial registration: </strong>Not applicable.</p>","PeriodicalId":18073,"journal":{"name":"Lipids in Health and Disease","volume":"24 1","pages":"63"},"PeriodicalIF":3.9,"publicationDate":"2025-02-21","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://www.ncbi.nlm.nih.gov/pmc/articles/PMC11844043/pdf/","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"143472543","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":2,"RegionCategory":"医学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"OA","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}