Lipids in Health and Disease最新文献

{"title":"Innovative approach to the detection of circulating tumor biomarkers: multi-dimensional application of liposome technology.","authors":"Weichu Tan, Yitong Zhu, Siting Chen","doi":"10.1186/s12944-025-02578-7","DOIUrl":"https://doi.org/10.1186/s12944-025-02578-7","url":null,"abstract":"<p><p>Malignant tumors represent a significant worldwide health challenge, with elevated morbidity and mortality rates necessitating enhanced early identification and individualized treatment. Liposomes, as biomimetic lipid-based nanovesicles, have developed as a multifaceted platform for detecting and treating malignant tumors due to their excellent biocompatibility, stability, and membrane fusion properties. Circulating tumor markers, such as circulating tumor cells (CTCs), extracellular vesicles (EVs), circulating tumor proteins (CTPs), and circulating tumor nucleic acids (ctNAs), play a key role in early cancer diagnosis, disease progression monitoring, and personalized therapy. Liposome-based platforms enable effective molecular recognition, targeted detection, and signal amplification by targeting circulating tumor biomarkers, significantly increasing the potential for early tumor diagnosis and treatment. This review systematically summarizes advancements in the study of liposomes concerning circulating tumor markers, including applications in targeted recognition, early detection, and disease diagnosis, while discussing present problems and prospective applications of existing technology.</p>","PeriodicalId":18073,"journal":{"name":"Lipids in Health and Disease","volume":"24 1","pages":"160"},"PeriodicalIF":3.9,"publicationDate":"2025-04-28","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://www.ncbi.nlm.nih.gov/pmc/articles/PMC12036244/pdf/","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"144034021","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":"Comparing the impact of cumulative insulin resistance surrogates exposure on stroke: optimizing prevention strategies.","authors":"Dezhi Hong, Xiaohui Li, Guotai Sheng, Hongyi Yang, Wei Wang, Yang Zou","doi":"10.1186/s12944-025-02579-6","DOIUrl":"https://doi.org/10.1186/s12944-025-02579-6","url":null,"abstract":"<p><strong>Background: </strong>Insulin resistance (IR) plays a major role in increasing the risk of stroke. The objective of this research is to systematically evaluate and compare the impact of cumulative exposure over time to four commonly used IR surrogates-triglyceride-glucose (CumTyG) index, metabolic score for IR (CumMetS-IR), estimated glucose disposal rate (CumeGDR) and triglyceride to high-density lipoprotein cholesterol (CumTG/HDL-C) ratio-on stroke risk, providing insights for optimizing monitoring strategies for primary stroke prevention.</p><p><strong>Methods: </strong>The study population was sourced from the China Health and Retirement Longitudinal Study (CHARLS2011-2018). Cumulative exposure to IR (CumIR) surrogates was calculated as the mean value of IR surrogates measured in the first and third waves of CHARLS, multiplied by the total exposure duration. The primary endpoint was incident stroke, determined through questionnaires in the third and fourth waves of CHARLS. Multivariable Cox regression models were applied to estimate and compare HRs and 95% CIs for stroke across quartiles of CumIR surrogates.</p><p><strong>Results: </strong>A total of 4,669 participants with no history of stroke at baseline were included. During a median follow-up of 6 years, 347 new stroke events (7.43%) were recorded. The incidence rates of stroke in the highest quartiles of CumTyG index, CumTG/HDL-C ratio, and CumMetS-IR, as well as the lowest quartile of CumeGDR, were 9.67%, 9.93%, 10.45%, and 13.02%, respectively. In terms of risk assessment, the multivariable Cox regression analysis showed that the highest quartiles of CumTyG index, CumTG/HDL-C ratio, and CumMetS-IR and the lowest quartile of CumeGDR were associated with stroke risk, with corresponding HR (95% CI) of 1.48(1.05-2.10), 1.61(1.15-2.24), 1.72(1.21-2.43), and 3.57(2.25-5.68), respectively. In terms of event prediction, receiver operating characteristic analysis revealed that CumeGDR had the highest predictive accuracy for incident stroke compared with other common IR surrogates.</p><p><strong>Conclusions: </strong>In assessing stroke risk and predicting events in middle-aged and elderly populations, cumulative exposure to eGDR demonstrates significant advantages over other common IR surrogates. Incorporating eGDR as an IR monitoring marker is recommended for primary stroke prevention.</p>","PeriodicalId":18073,"journal":{"name":"Lipids in Health and Disease","volume":"24 1","pages":"158"},"PeriodicalIF":3.9,"publicationDate":"2025-04-25","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://www.ncbi.nlm.nih.gov/pmc/articles/PMC12023373/pdf/","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"144017329","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":"The association between non-high-density lipoprotein cholesterol to high-density lipoprotein cholesterol ratio and preserved ratio impaired spirometry: NHANES 2007-2012.","authors":"Qilei Zhu, Ran He, Yiqin Yan, Lihan Xiang, Yarong Li, Yi Yang, Dandan Hu, Liming Lou","doi":"10.1186/s12944-025-02571-0","DOIUrl":"https://doi.org/10.1186/s12944-025-02571-0","url":null,"abstract":"<p><strong>Background: </strong>Preserved ratio impaired spirometry (PRISm) refers to a form of lung function deterioration, and previous studies have established the association with Chronic Obstructive Pulmonary Disease (COPD). Research has also shown the association between COPD and lipid metabolism disturbances. Despite these findings, the association between lipid metabolism markers and PRISm remains poorly understood.</p><p><strong>Methods: </strong>This analysis was conducted on the 2007-2012 data from the National Health and Nutrition Examination Survey (NHANES), including a total of 9,431 participants. The Non-High-Density Lipoprotein Cholesterol to High-Density Lipoprotein Cholesterol Ratio (NHHR) was calculated based on lipid profiles, and PRISm patients were classified according to pulmonary function tests. To explore the association between NHHR and PRISm, multivariable logistic regression analysis was used.</p><p><strong>Results: </strong>A strong linear association was observed between NHHR and PRISm. In Adjusted Model 2, the weighted multivariable logistic regression analysis revealed that each unit increase in NHHR increased the chance of developing PRISm by 8% (OR:1.08, 95%CI:1.01-1.16, P = 0.039).Participants within the highest NHHR tertile demonstrated a 1.36-fold increased likelihood of presenting with PRISm compared to those in the lowest NHHR tertile (OR:1.36, 95% CI: 1.01-1.83, P = 0.048). Additionally, weighted Restricted Cubic Spline affirmed a linear association between NHHR and PRISm (P for non-linearity = 0.637), while clear non-linear associations were found between NHHR and FEV₁% predicted (P for non-linearity = 0.010) and FEV₁/FVC (P for non-linearity = 0.023). Subgroup analysis and interaction tests revealed a significant interaction effect among different waist circumference categories (P for interaction = 0.020). Notably, in individuals without abdominal obesity, NHHR showed a strong positive association with PRISm (OR = 1.23, 95% CI: 1.07-1.42, P = 0.01).</p><p><strong>Conclusion: </strong>These results indicate that NHHR is positively associated with PRISm and is significantly associated with the decline in lung function. This study offers distinctive perspectives that may contribute to the avoidance and management of early-stage pulmonary dysfunction.</p>","PeriodicalId":18073,"journal":{"name":"Lipids in Health and Disease","volume":"24 1","pages":"157"},"PeriodicalIF":3.9,"publicationDate":"2025-04-25","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://www.ncbi.nlm.nih.gov/pmc/articles/PMC12023359/pdf/","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"144017525","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":"The causal relationship between 179 lipid species and urolithiasis: a bidirectional and multivariable Mendelian randomization study combined with meta-analysis.","authors":"Xidong Wang, Yingying Yang, Gang Wu, Shangjing Liu, Yuanshan Cui, Jitao Wu","doi":"10.1186/s12944-025-02573-y","DOIUrl":"https://doi.org/10.1186/s12944-025-02573-y","url":null,"abstract":"<p><strong>Background: </strong>Previous research has suggested a potential link between urolithiasis and lipid species levels. A Mendelian randomization (MR) study was conducted to investigate whether a causal relationship exists between genetic susceptibility to plasma lipids and the risk of urolithiasis.</p><p><strong>Methods: </strong>Data on lipid species were collected from genome-wide association (GWAS) analyses of plasma lipidomes. For the initial analysis, GWAS data on urolithiasis were extracted using the GWAS ID ebi-a-GCST90018935. The inverse variance weighted (IVW) approach was utilized as the main method for MR analysis. Multivariable MR, multiple supplementary analyses, and comprehensive sensitivity analyses were also conducted. Additional independent datasets were utilized for replication analysis and meta-analysis.</p><p><strong>Results: </strong>Findings from the IVW method, repeated analyses, and meta-analysis revealed six significant causal effects of lipid species on urolithiasis. The specific lipid species identified were: phosphatidylcholine (PC; 16:1_20:4) levels [OR: 0.92; 95%CI: 0.87, 0.96; P = 6 × 10^- 4], PC (16:0_20:4) levels [OR: 0.94; 95%CI: 0.90, 0.98; P = 0.0017], phosphatidylethanolamine (PE; 18:2_0:0) levels [OR: 1.10; 95%CI: 1.04, 1.15; P = 4 × 10^- 4], PE (16:0_20:4) levels [OR: 1.05; 95%CI: 1.01, 1.09; P = 0.0028], PE (18:1_18:1) levels [OR: 1.06; 95%CI: 1.01, 1.11; P = 0.0136], and sterol ester (SE; 27:1/20:4) levels [OR: 0.93; 95%CI: 0.89, 0.96; P = 1.5 × 10^- 4].</p><p><strong>Conclusion: </strong>The MR study proposes a potential causal link between six plasma lipids and urolithiasis. Particularly, SEs (27:1/20:4), PC (16:0_20:4), and PC (16:1_20:4) may serve as potential inhibitors of calcium-containing urolithiasis growth. The integration of genomics and lipidomics in MR analysis holds promise for early screening, prevention, and treatment of urinary tract stones.</p>","PeriodicalId":18073,"journal":{"name":"Lipids in Health and Disease","volume":"24 1","pages":"159"},"PeriodicalIF":3.9,"publicationDate":"2025-04-25","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://www.ncbi.nlm.nih.gov/pmc/articles/PMC12023426/pdf/","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"143990374","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":"Longitudinal changes and patterns in cardiometabolic index and the natural course of prediabetes in the China health and retirement longitudinal study.","authors":"Yang Zou, Chunyuan Jiang, Hongyi Yang, Shiming He, Guotai Sheng, Guobo Xie","doi":"10.1186/s12944-025-02576-9","DOIUrl":"https://doi.org/10.1186/s12944-025-02576-9","url":null,"abstract":"<p><strong>Background: </strong>Prediabetes is one of the most common metabolic disorders in the aging process. This study aims to investigate the longitudinal changes in the Cardiometabolic Index (CMI) and their relationship with the natural course of prediabetes in middle-aged and elderly populations.</p><p><strong>Methods: </strong>This study used longitudinal data from the China Health and Retirement Longitudinal Study. The natural course of prediabetes was used to describe the trend in glycemic development during follow-up, defined as progression to diabetes or regression to normoglycaemia. Longitudinal changes in CMI were categorized into CMI transition patterns (consistently-low, low-to-high, high-to-low, and consistently-high) and cumulative CMI (CumCMI) exposure. CumCMI was calculated as the ratio of the mean CMI values measured during the longitudinal surveys to the total duration of exposure.</p><p><strong>Results: </strong>According to the inclusion and exclusion criteria, a total of 2,544 prediabetic participants from the China Health and Retirement Longitudinal Study cohort were included in the study. During a median follow-up of 3 years, the rates of progression and regression of prediabetes were as follows in the consistently-low, low-to-high, high-to-low, and consistently-high CMI pattern groups: 9.94%, 16.55%, 11.72%, 20.32% for progression; and 24.97%, 22.37%, 23.81%, 20.42% for regression, respectively. Regarding prediabetes progression, our results found that a high baseline CMI level and high CumCMI exposure during follow-up significantly increased the risk of developing diabetes in prediabetic patients. Furthermore, during follow-up, compared to the low-to-high CMI pattern group, the consistently-low CMI pattern was protective for prediabetic patients. Concerning prediabetes regression, we only observed a negative correlation between baseline CMI and follow-up CumCMI exposure with outcomes in the elderly (age ≥ 60 years). Specifically, high baseline CMI levels and high follow-up CumCMI exposure significantly hindered prediabetes regression in the elderly.</p><p><strong>Conclusion: </strong>In this prospective cohort study of middle-aged and elderly populations, we found that longitudinal changes in CMI were associated with the progression and regression of prediabetes. High CumCMI exposure during follow-up significantly increased the risk of diabetes events and hindered the recovery of normoglycaemia in the elderly. Moreover, maintaining a consistently-low CMI pattern during follow-up reduced the risk of diabetes in prediabetic patients.</p>","PeriodicalId":18073,"journal":{"name":"Lipids in Health and Disease","volume":"24 1","pages":"156"},"PeriodicalIF":3.9,"publicationDate":"2025-04-24","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://www.ncbi.nlm.nih.gov/pmc/articles/PMC12020222/pdf/","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"144064152","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":"Remnant cholesterol inflammatory index and its association with all-cause and cause-specific mortality in middle-aged and elderly populations: evidence from US and Chinese national population surveys.","authors":"Yifei Wang, Lei Bi, Qing Li, Qiuyu Wang, Tingting Lv, Ping Zhang","doi":"10.1186/s12944-025-02580-z","DOIUrl":"https://doi.org/10.1186/s12944-025-02580-z","url":null,"abstract":"<p><strong>Background: </strong>The remnant cholesterol inflammatory index (RCII) is a novel metric that combines remnant cholesterol and high-sensitivity C-reactive protein, reflecting the metabolic and inflammatory risk. This study investigates the association between RCII and long-term risks of all-cause and cause-specific mortality in middle-aged and elderly populations in the US and China.</p><p><strong>Method: </strong>We analyzed data from the National Health and Nutrition Examination Survey (NHANES) and the China Health and Retirement Longitudinal Study (CHARLS), including 7,565 and 12,932 participants aged 45 years and older, respectively. The participants were categorized into quartiles based on natural log-transformed RCII (lnRCII) values. Kaplan-Meier survival analysis, Cox proportional hazards models, restricted cubic splines (RCS) and mediation analysis were used to examine the relationship between lnRCII and mortality outcomes, adjusting for potential covariates.</p><p><strong>Result: </strong>The mean age of the participants was 59.90 ± 10.44 years (NHANES) and 58.64 ± 9.78 years (CHARLS), with 53.28% and 52.50% female, respectively. Kaplan-Meier survival analysis showed that higher lnRCII quartiles (≥ 0.79 in NHANES, ≥ -0.13 in CHARLS) were significantly associated with increased all-cause mortality risk (p < 0.001). Each standard deviation (SD) increase in lnRCII corresponded to a higher risk of all-cause mortality, and the hazard ratios (HRs) and 95% confidence interval (CI) were 1.29 (95% CI: 1.21-1.36) in NHANES and 1.26 (95% CI: 1.15-1.38) in CHARLS. In NHANES, lnRCII was also associated with elevated risks of cardiovascular mortality (HR = 1.21, 95% CI: 1.08-1.35) and cancer mortality (HR = 1.30, 95% CI: 1.09-1.55). RCS analysis indicated a J-shaped relationship between lnRCII and both all-cause and cardiovascular mortality, and a linear association with cancer mortality. Mediation analysis showed that systolic blood pressure and fasting plasma glucose partially mediated these associations. Subgroup analyses suggested a stronger association between lnRCII and all-cause mortality in middle-aged US participants (p for interaction = 0.010).</p><p><strong>Conclusions: </strong>Elevated RCII levels are significantly associated with increased all-cause mortality risk middle-aged and elderly populations in both the US and China. In the US population, RCII is also associated with increased risks of cardiovascular and cancer mortality. By integrating metabolic and inflammatory risk factors, RCII may serve as a valuable tool for mortality risk stratification and clinical decision-making.</p>","PeriodicalId":18073,"journal":{"name":"Lipids in Health and Disease","volume":"24 1","pages":"155"},"PeriodicalIF":3.9,"publicationDate":"2025-04-24","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://www.ncbi.nlm.nih.gov/pmc/articles/PMC12020154/pdf/","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"144023587","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":"The relationship of cardiometabolic index with bowel movement frequency: an NHANES-based cross-sectional analysis.","authors":"Qianyi Ren, Yanan Wang, Xinhui Han, Qingyi Wang, Guoying Liang","doi":"10.1186/s12944-025-02567-w","DOIUrl":"https://doi.org/10.1186/s12944-025-02567-w","url":null,"abstract":"<p><strong>Background: </strong>Prior studies have indicated a notable link between gut health and metabolic syndrome (MetS). The cardiometabolic index (CMI), an innovative indicator of metabolic health, effectively predicts MetS. Bowel movement frequency (BMF) closely reflects gastrointestinal function and is a key sign of gut health. Nonetheless, the relationship between CMI and BMF is still unclear. Our research explores the possible association between these two variables.</p><p><strong>Methods: </strong>This study employed 2005 to 2010 National Health and Nutrition Examination Survey data. The CMI for each participant was determined by triglycerides, high-density lipoprotein cholesterol, and the waist-to-hip ratio. Multiple regression, smooth curve fitting, and threshold effect analyses were employed to investigate the association between CMI and BMF. The association's stability across populations was assessed through subgroup analyses and interaction tests.</p><p><strong>Results: </strong>The study included 9,678 participants in total. After controlling for potential confounding variables, those in the uppermost CMI quartile had a 0.69 more increase in BMF than the bottom quartile (β = 0.69, 95% CI: 0.34, 1.03). The trend analyses showed that BMF increased steadily with the advancement of the CMI quartiles (P for trend < 0.0001). Associations between CMI and BMF were shown to be nonlinear through smooth curve fitting and threshold effect analyses. Specifically, when CMI ranged from 4.97 to 11.75, a negative connection was observed (β = -0.78, 95% CI: -1.33, -0.23), while positive associations were identified in other ranges. Subgroup analyses and interaction tests indicated significant CMI and BMF association variations when stratified by depression and age categories (P for interaction < 0.05).</p><p><strong>Conclusions: </strong>This research indicates that CMI is generally associated with an increase in BMF. However, when CMI ranges from 4.97 to 11.75, it is associated with a BMF decrease. Notably, the association of CMI and BMF is more potent in young, middle-aged, and depressed people.</p>","PeriodicalId":18073,"journal":{"name":"Lipids in Health and Disease","volume":"24 1","pages":"154"},"PeriodicalIF":3.9,"publicationDate":"2025-04-24","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://www.ncbi.nlm.nih.gov/pmc/articles/PMC12020109/pdf/","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"144003467","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":"The association between the cardiac metabolic index and rapid kidney function decline and CKD in individuals with different glucose metabolism statuses: results from the China health and retirement longitudinal study.","authors":"Wei-Zhen Tang, Qin-Yu Cai, Tai-Hang Liu, Tao-Ting Li, Gao-Hui Zhu, Jia-Cheng Li, Kang-Jin Huang, Hong-Yu Xu, He-Zhe Hua, Rong Li","doi":"10.1186/s12944-025-02572-z","DOIUrl":"https://doi.org/10.1186/s12944-025-02572-z","url":null,"abstract":"&lt;p&gt;&lt;strong&gt;Background: &lt;/strong&gt;The Cardiometabolic Index (CMI) is a new measure that combines fat distribution and lipid profiles. However, its relationship with rapid decline in renal function and the chronic kidney disease (CKD), especially in individuals with varying glucose metabolism, is still unclear.&lt;/p&gt;&lt;p&gt;&lt;strong&gt;Method: &lt;/strong&gt;This study included 3,485 participants aged 45 and above from the China Longitudinal Study on Health and Retirement (CHARLS), with baseline assessments in 2011-2012 and follow-ups in 2015 and 2018. Participants were grouped into four categories (Q1-Q4) based on baseline CMI levels. The primary outcome was rapid decline in renal function, with CKD events also observed. Multivariable logistic models and restricted cubic spline (RCS) analysis were used to explore the relationship between baseline CMI levels and the risk of kidney disease in individuals with different glucose metabolism statuses. Nine machine learning models were developed using baseline CMI to validate its predictive ability for kidney disease risk. Finally, mediation causal analysis was conducted to examine whether the development of diabetes in the non-diabetic population serves as an important mediator in the relationship between CMI and kidney disease.&lt;/p&gt;&lt;p&gt;&lt;strong&gt;Results: &lt;/strong&gt;During the follow-up period, a total of 173 participants (4.96%) experienced rapid decline in renal function, and 87 participants (2.50%) developed CKD. With increasing baseline CMI levels, the risk of rapid decline in renal function and CKD significantly increased. Among the various machine learning models for predicting kidney disease, logistic regression performed excellently, with AUCs exceeding 0.6, indicating the strong predictive ability of baseline CMI. For the primary outcome, multivariable logistic regression analysis showed that, in all participants, as well as in the normal glucose regulation (NGR) group and the prediabetes (Pre-DM) group, the incidence of rapid decline in renal function significantly increased across different CMI groups (P &lt; 0.05), with trend RR values of 1.285(1.076,1.536), 1.308 (1.015, 1.685) and 1.566 (1.207, 2.031), respectively. However, this association was not observed in patients with diabetes (P for trend &gt; 0.05). RCS analysis further indicated that higher baseline CMI levels were associated with a greater risk of rapid decline in renal function in all participants and in the non-diabetic population. A similar trend was observed for CKD. Finally, mediation causal analysis showed that the development of new-onset diabetes in the non-diabetic population may not be an important mediator in the relationship between CMI and kidney disease.&lt;/p&gt;&lt;p&gt;&lt;strong&gt;Conclusion: &lt;/strong&gt;Higher baseline CMI levels were significantly linked to rapid decline in renal function and CKD in middle-aged and elderly individuals, with the relationship varying by glucose metabolism status. CMI may serve as a useful indicator for predicting kidney diseas","PeriodicalId":18073,"journal":{"name":"Lipids in Health and Disease","volume":"24 1","pages":"153"},"PeriodicalIF":3.9,"publicationDate":"2025-04-23","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://www.ncbi.nlm.nih.gov/pmc/articles/PMC12020149/pdf/","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"144006564","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 the combination of the triglyceride-glucose index and obesity-related indices with hyperuricemia among children and adolescents in China.","authors":"Runquan Zhang, Jiewen Peng, Qiqi Wu, Haiyuan Zhu, Zebang Zhang, Yumei Feng, Qin Xiao, Yuqing Jin, Tao Liu, Dan Liu, Xiongfei Chen, Xiaomei Dong","doi":"10.1186/s12944-025-02547-0","DOIUrl":"https://doi.org/10.1186/s12944-025-02547-0","url":null,"abstract":"<p><strong>Background: </strong>The prevalence of hyperuricemia (HUA) among Chinese children and adolescents is a significant public health concern. Triglyceride-glucose (TyG) is recognized as a reliable biomarker in predicting insulin resistance, a condition associated with various metabolic disorders. Nevertheless, research on the association between TyG and its obesity-related indices with HUA among children and adolescents in China is limited.</p><p><strong>Methods: </strong>This study utilized data from the 2017 Chinese National Nutrition and Health Surveillance of Children and Lactating Mothers. TyG, TyG-BMI, TyG-WC, and TyG-WHtR were calculated based on participants' fasting blood glucose, triglycerides, and measured height, weight, and waist circumference. Multivariable logistic regressions were used to assess the relationships between TyG and its obesity-related indices with HUA in children and adolescents. Receiver Operating Characteristic curves were constructed to compare the predictive power of these indicators. Furthermore, we conducted a stratified analysis based on sex and age. Restricted cubic spline curves were used to illustrate the dose-response relationship of TyG, TyG-BMI, TyG-WC, and TyG-WHtR with HUA in children and adolescents. The sensitivity analysis included 1:1 propensity score matching with a caliper value of 0.02 and adjustments to the diagnostic criteria for HUA.</p><p><strong>Results: </strong>After adjusting for all covariables, multivariable logistic regression analysis indicated that the fourth quartiles of TyG (OR: 1.33, 95% CI: 1.14-1.54, P < 0.001), TyG-BMI (OR: 1.43, 95% CI: 1.14-1.79, P = 0.002), TyG-WC (OR: 1.76, 95% CI: 1.42-2.19, P < 0.001), and TyG-WHtR (OR: 1.92, 95% CI: 1.66-2.21, P < 0.001) were significantly associated with higher odds of HUA, compared to the lowest quartile. Stratified analyses identified a significant interaction between sex and TyG-BMI, TyG-WC, and TyG-WHtR. Compared to the first quartile, the highest quartile of TyG-BMI, TyG-WC and TyG-WHtR among male participants exhibited a stronger association with HUA(Male: TyG-BMI: OR = 1.82, 95%CI: 1.28-2.59; TyG-WC: OR = 1.87, 95%CI: 1.31-2.67; TyG-WHtR: OR = 2.07, 95%CI: 1.68-2.54).</p><p><strong>Conclusions: </strong>This study identified a significant association between TyG and related obesity indices with HUA in children and adolescents in China. Furthermore, stronger associations of TyG-BMI, TyG-WC, and TyG-WHtR with HUA were observed, particularly in males.</p>","PeriodicalId":18073,"journal":{"name":"Lipids in Health and Disease","volume":"24 1","pages":"150"},"PeriodicalIF":3.9,"publicationDate":"2025-04-23","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://www.ncbi.nlm.nih.gov/pmc/articles/PMC12016125/pdf/","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"144015410","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":"The association between Glycated Hemoglobin to High Density Lipoprotein Cholesterol Ratio and risk of cardiovascular diseases caused death among adult cancer survivors: evidence from NHANES 1999-2018.","authors":"Fan Sun, Xia-Jing Yu, Xiao-Hong Huang, Jin Lin, Jing Zhang, Yan-Mei Xu, Wei-Ming Yang, Xiao-Zhong Wang","doi":"10.1186/s12944-025-02566-x","DOIUrl":"https://doi.org/10.1186/s12944-025-02566-x","url":null,"abstract":"<p><strong>Background: </strong>The population of cancer survivors is growing markedly, facing an elevated risk of overall mortality as well as death from cardiovascular diseases (CVDs). Uncovering biomarkers that associated with CVDs among cancer survivors appears to be vital.</p><p><strong>Methods: </strong>We collected data from NHANES (1999-2018), focusing on cancer survivors with comprehensive Glycated Hemoglobin (GH), High Density Lipoprotein Cholesterol (HDL-C), CVDs history and survival follow-up information. We first executed test for Proportional Hazards assumptions among the variables, paving the way for constructing the COX proportional hazards model. By stratifying participants by age, we explored the association between GH/HDL-C levels and the CVDs-caused mortality risk across various age segments. Restricted cubic spline (RCS) curves were employed to detect any potential non-linear associations. When non-linear associations were identified, we proceeded with segmented analyses based on reference values to better understand the association between GH/HDL-C and the risk of CVDs-related mortality among cancer survivors. To further affirm the robustness of our findings, subgroup and sensitivity analyses were conducted.</p><p><strong>Results: </strong>A total of 3,244 eligible participants were included in this study. The GH/HDL-C levels in cancer survivors died from CVDs were markedly higher than those who survived the follow-up period. According to the results from the Proportional Hazards assumptions test, the endpoint for CVDs mortality was established at 168 months, and the subjects were classified into three age groups: <60 years, between 60 and 74 years, and ≥ 75 years. For the young cohort (< 60 years), there was no significant association between GH/HDL-C levels and CVDs mortality. However, in the 60 ~ 74 age group, a linear association was noted, with higher GH/HDL-C levels indicating a greater CVDs-related mortality risk. For cancer survivors aged 75 and older, the association appeared nonlinear, resembling a U-shaped curve, where high GH/HDL-C levels were associated with higher mortality risk above the certain reference point (4.25mmol/L^-1), while lower levels were associated with reduced risk or no significant impact.</p><p><strong>Conclusion: </strong>The study highlighted that in cancer survivors, the GH/HDL-C is significantly associated with the risk of CVDs mortality. Those between 60 and 74 years old showed a straightforward increase in CVD death risk with higher GH/HDL-C levels. In individuals aged 75 and older, the association was more complex, exhibiting a non-linear U-shaped trend.</p>","PeriodicalId":18073,"journal":{"name":"Lipids in Health and Disease","volume":"24 1","pages":"149"},"PeriodicalIF":3.9,"publicationDate":"2025-04-23","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://www.ncbi.nlm.nih.gov/pmc/articles/PMC12016323/pdf/","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"144020710","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}