Lipids in Health and Disease最新文献

{"title":"Sex differences in associations of metabolic inflammation and insulin resistance with incident type 2 diabetes mellitus: a retrospective cohort of adults with annual health examinations.","authors":"Yang Li, Xiaotong Guo, Jianli Ge, Qingqing Li, Xin Chen, Yingqian Zhu, Huixiao Yuan, Shasha Geng, Yue Liu","doi":"10.1186/s12944-025-02473-1","DOIUrl":"10.1186/s12944-025-02473-1","url":null,"abstract":"<p><strong>Background and aims: </strong>Cardio-kidney-metabolic diseases are major causes of premature death worldwide, with type 2 diabetes mellitus (T2DM) playing a critical role. Inflammation and insulin resistance have been implicated in the pathogenesis of T2DM. This study aimed to investigate the sex-specific associations of metabolic inflammation and insulin resistance with incident T2DM to support personalized prevention and management strategies.</p><p><strong>Methods: </strong>A retrospective cohort was used to analyse annual health examination data from the general practice department of a general hospital in Shanghai between 2021 and 2023. After excluding participants diagnosed with T2DM, cardiovascular disease or chronic kidney disease at baseline, 1214 adults were followed up for two years. Cox proportional hazards and logistic regression models were used to assess the associations of triglyceride-glucose body mass index (TyG-BMI), the lymphocyte/high-density lipoprotein cholesterol ratio (LHR), the monocyte/high-density lipoprotein cholesterol ratio (MHR), and the neutrophil/high-density lipoprotein cholesterol ratio (NHR) with incident T2DM.</p><p><strong>Results: </strong>In the total population, TyG-BMI (all HR/OR > 1, P < 0.05), LHR, MHR and NHR were significantly and positively associated with incident T2DM. TyG-BMI was significantly associated with incident T2DM in men (both HR/OR > 1, P < 0.05), whereas LHR, MHR and NHR were strongly associated with incident T2DM in women (all HR/OR > 1, P < 0.05). The interaction effect between LHR and sex was statistically significant.</p><p><strong>Conclusion: </strong>Sex differences play an important role in incident T2DM. Men should be aware of weight control to avoid obesity-related insulin resistance, whereas women should monitor metabolic inflammation indicators such as LHR for early detection and intervention of their T2DM risk.</p>","PeriodicalId":18073,"journal":{"name":"Lipids in Health and Disease","volume":"24 1","pages":"50"},"PeriodicalIF":3.9,"publicationDate":"2025-02-14","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://www.ncbi.nlm.nih.gov/pmc/articles/PMC11829553/pdf/","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"143425775","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 atherogenic index of plasma and infertility: a cross-sectional study based on U.S. women.","authors":"Zihong Bao, Yanmei Zhang, Ju Zhou, Zhikun Dai","doi":"10.1186/s12944-025-02469-x","DOIUrl":"10.1186/s12944-025-02469-x","url":null,"abstract":"<p><strong>Background: </strong>A wealth of evidence indicates that dyslipidemia is associated with endothelial dysfunction, oxidative stress, and inflammation, each of which can impair reproductive function and lead to infertility. The Atherogenic Index of Plasma (AIP) is an innovative lipid biomarker that combines the triglyceride to high-density lipoprotein cholesterol (HDL-C) ratio, providing a more in-depth evaluation of lipid metabolism. This biomarker synthesizes discrete lipid disruptions into a single value, surpassing isolated lipid indicators' diagnostic value. The primary goal of our study was to explore the link between AIP and the incidence of infertility.</p><p><strong>Methods: </strong>Data from the National Health and Nutrition Examination Survey (NHANES) spanning 2013-2018 were subjected to cross-sectional examination. The AIP is determined through the logarithmic transformation (base 10) of the triglyceride-to-HDL-C ratio. To uncover the connection between AIP and infertility, a suite of analytical techniques was employed, encompassing weighted multiple logistic regression, stratified analyses, spline curve modeling, and determination of cutoff values.</p><p><strong>Results: </strong>Among the 1,191 participants, with a weighted mean age of 31.89 years, 12.09% were diagnosed as infertile. The multivariate-adjusted odds ratios for infertility occurrence across the AIP quartiles were 1.00 (reference), 1.96 (95% CI: 1.10-3.49), 2.62 (95% CI: 1.48-4.63), and 2.38 (95% CI: 1.31-4.32), respectively. Subgroup examinations suggest that the association between AIP and infertility remains robust and is not substantially altered by factors including age, marital status, economic status, tobacco use, alcohol intake, and body mass index. Curve fitting and threshold analyses have indicated a positive nonlinear relationship between AIP and infertility, as well as a relatively stable incidence of infertility within the AIP range from -0.21 to 0.22.</p><p><strong>Conclusions: </strong>Incorporating an assessment of AIP into the clinical evaluation could potentially refine the accuracy of risk estimation for infertility patients.</p>","PeriodicalId":18073,"journal":{"name":"Lipids in Health and Disease","volume":"24 1","pages":"51"},"PeriodicalIF":3.9,"publicationDate":"2025-02-14","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://www.ncbi.nlm.nih.gov/pmc/articles/PMC11829380/pdf/","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"143425731","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 of triglyceride-glucose index and derived indices with cataract in middle-aged and elderly Americans: NHANES 2005-2008.","authors":"Bin Wei, Xin Hu, Ben-Liang Shu, Qin-Yi Huang, Hua Chai, Hao-Yu Yuan, Lin Zhou, Yi-Chong Duan, Li-Li Yao, Zhuo-Er Dong, Xiao-Rong Wu","doi":"10.1186/s12944-025-02470-4","DOIUrl":"10.1186/s12944-025-02470-4","url":null,"abstract":"<p><strong>Aim: </strong>Explore the relationship between the triglyceride-glucose (TyG) index, along with its derivative indices, and the prevalence of cataracts.</p><p><strong>Methods: </strong>Data from 20,497 participants in the 2005-2008 National Health and Nutrition Examination Survey (NHANES) were compiled. A final total of 4,499 individuals met the eligibility criteria. Cataract presence was assessed through a self-reported history of cataract surgery. The TyG index and its derivatives-TyG-waist-to-height ratio (WHtR), TyG-neutrophil-to-lymphocyte ratio (NLR), TyG-monocyte-to-lymphocyte ratio (MLR), TyG-log platelet-to-lymphocyte ratio (lgPLR), TyG-log systemic inflammation index (lgSII), and TyG-systemic inflammation response index (SIRI)-were calculated. Statistical analyses included multivariable logistic regression, restricted cubic spline (RCS) curves for nonlinear relationships, and receiver operating characteristic (ROC) analysis.</p><p><strong>Results: </strong>Higher TyG indices were significantly associated with cataract presence (P < 0.001). Specifically, TyG-WHtR, TyG-NLR, TyG-lgPLR, TyG-lgSII, and TyG-SIRI exhibited positive correlations with cataract prevalence, even after adjustment for potential confounders (odds ratio [OR] = 1.17; 95% confidence interval [CI]: 1.01, 1.37; P = 0.0403; [OR] = 1.01; 95% [CI]: 1.00, 1.02; P = 0.0258; [OR] = 1.08; 95% [CI]: 1.01, 1.16; P = 0.0223; [OR] = 1.08; 95% [CI]: 1.03, 1.14; P = 0.001; [OR] = 1.02; 95% [CI]: 1.00, 1.04; P = 0.0120). Furthermore, the stratified analysis showed that in the 61-85 age group, TyG-lgPLR and TyG-lgSII remained positively associated with cataract prevalence ([OR] = 1.09; 95% [CI]: 1.01, 1.17; P = 0.024; [OR] = 1.08; 95% [CI]: 1.02, 1.13; P = 0.005). RCS analysis revealed a linear association between these indices and cataracts, with no apparent threshold effect. ROC analysis indicated that TyG-MLR demonstrated the highest predictive ability for cataract presence.</p><p><strong>Conclusion: </strong>The study results indicate a positive association between TyG-related indicators and cataract the prevalence of cataracts in middle-aged and elderly individuals, suggesting that these markers may serve as practical biomarkers for identifying high-risk individuals. Early detection and management of metabolic and inflammatory factors could contribute to effective preventive strategies for cataract development in the elderly population.</p>","PeriodicalId":18073,"journal":{"name":"Lipids in Health and Disease","volume":"24 1","pages":"48"},"PeriodicalIF":3.9,"publicationDate":"2025-02-14","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://www.ncbi.nlm.nih.gov/pmc/articles/PMC11827319/pdf/","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"143425736","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":"Lipoprotein(a) molar concentrations rather than genetic variants better predict coronary artery disease risk and severity in Han Chinese population.","authors":"Jie Li, Ben Ma, Qin Fang, Jing Wang, Yang Sun, Hu Ding, Yan Wang","doi":"10.1186/s12944-025-02467-z","DOIUrl":"10.1186/s12944-025-02467-z","url":null,"abstract":"<p><strong>Background: </strong>It is well established that increased lipoprotein(a) [Lp(a)] is a significant risk factor for coronary artery disease (CAD). Plasma Lp(a) levels are genetically determined and vary widely between different races, regions and individuals. However, most studies on Lp(a) associated genetic variants have focused on the Caucasian population currently. Our study aimed to test the associations among LPA genetic variants, Lp(a) concentrations, and CAD in a Han Chinese cohort.</p><p><strong>Methods: </strong>A total of 3779 patients undergoing coronary angiography were recruited from Tongji Hospital. LPA Kringle IV type 2 (KIV-2) copies were detected using TaqMan probe real-time quantitative polymerase chain reaction (qPCR) analysis and fifteen single nucleotide polymorphisms (SNPs) within the LPA gene were detected using TaqMan probe genotyping analysis. LPA genetic risk score (GRS) was computed based on seven SNPs associated with Lp(a). Associations of LPA genetic variants with Lp(a) and CAD were evaluated using linear regression analyses and Logistic regression analyses, respectively.</p><p><strong>Results: </strong>Compared with the first quartile of Lp(a), the fourth quartile exhibited a significant association with CAD [odds ratio (OR): 2.08, 95% confidence interval (CI): 1.67-2.59, p < 0.001], multivessel CAD [OR: 2.54, 95% CI: 2.06-3.12, p < 0.001], and high Gensini scores [OR: 2.17, 95% CI: 1.77-2.66, p < 0.001] after multivariable adjustment for cardiovascular risk factors. Both LPA GRS and KIV-2 quartiles were associated with Lp(a) concentrations (both p for trend < 0.001). However, after false discovery rate (FDR) correction, there were no significant associations of LPA genetic variants with CAD, multivessel CAD or high Gensini scores.</p><p><strong>Conclusions: </strong>Our findings indicate LPA genetic variants can affect Lp(a) levels, but do not exceed Lp(a) molar concentrations to predict CAD incidence and severity usefully, highlighting the importance of Lp(a) detection and management.</p>","PeriodicalId":18073,"journal":{"name":"Lipids in Health and Disease","volume":"24 1","pages":"49"},"PeriodicalIF":3.9,"publicationDate":"2025-02-14","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://www.ncbi.nlm.nih.gov/pmc/articles/PMC11827131/pdf/","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"143425768","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":"Elevated plasma soluble lectin-like oxidised low-density lipoprotein receptor 1 as an independent prognostic biomarker in sepsis.","authors":"Patricia Mester, Charlotte Birner, Stephan Schmid, Martina Müller, Vlad Pavel, Christa Buechler","doi":"10.1186/s12944-025-02462-4","DOIUrl":"10.1186/s12944-025-02462-4","url":null,"abstract":"<p><strong>Background: </strong>Soluble lectin-like oxidised low-density lipoprotein receptor 1 (sLOX-1) is overproduced during inflammation, with its expression and release triggered by C-reactive protein (CRP). As CRP levels are typically elevated in sepsis, this study aimed to investigate whether sLOX-1 levels increase in parallel.</p><p><strong>Methods: </strong>Plasma sLOX-1 levels of 52 patients with systemic inflammatory response syndrome (SIRS), 45 patients with sepsis, 88 patients with septic shock and 37 controls were measured by ELISA. Associations with CRP, underlying diseases, severe acute respiratory syndrome coronavirus type 2 (SARS-CoV-2) and bacterial infections were analysed.</p><p><strong>Results: </strong>Plasma sLOX-1 levels were similarly elevated in patients with SIRS, sepsis, or septic shock compared to controls. Plasma sLOX-1 levels did not differ between male and female controls or patients. Plasma sLOX-1 levels were comparable in patients infected with SARS-CoV-2, Gram-negative bacteria, or Gram-positive bacteria. No association was observed between sLOX-1 levels and underlying liver cirrhosis or pancreatitis. Notably, plasma sLOX-1 levels correlated positively with leukocyte and basophil counts but showed no correlation with CRP or procalcitonin. Of clinical relevance, positive correlations were also found with aspartate aminotransferase (AST) and bilirubin levels. Among the 41 patients who did not survive, sLOX-1, AST, and bilirubin levels were significantly higher compared to those of survivors.</p><p><strong>Conclusions: </strong>Plasma levels of sLOX-1 are elevated in patients with SIRS or sepsis and are significantly higher in non-survivors. Of note, they do not correlate with classical inflammatory markers, suggesting that sLOX-1 may function as an independent prognostic biomarker for predicting poor outcomes in patients with SIRS or sepsis.</p>","PeriodicalId":18073,"journal":{"name":"Lipids in Health and Disease","volume":"24 1","pages":"47"},"PeriodicalIF":3.9,"publicationDate":"2025-02-13","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://www.ncbi.nlm.nih.gov/pmc/articles/PMC11823166/pdf/","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"143414560","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 Heavy metals and triglyceride-glucose-related index: a mediation analysis of inflammation indicators.","authors":"Yitao Hu, Yuzhe Kong, Xinling Tian, Xinyi Zhang, Yu Zuo","doi":"10.1186/s12944-025-02441-9","DOIUrl":"10.1186/s12944-025-02441-9","url":null,"abstract":"<p><strong>Background: </strong>In cardiovascular diseases (CVD) and insulin resistance (IR), elevated blood lipids and glucose are common. These abnormalities accelerate atherosclerosis and may impair insulin signaling via oxidative stress and inflammation. The triglyceride-glucose (TyG) index is a cost-effective marker for assessing IR and CVD risk, reflecting insulin resistance and early atherosclerosis. However, research on factors affecting the TyG index, especially mixed heavy metal exposure, is limited. Heavy metals might alter the TyG index by inducing oxidative stress and inflammation, affecting lipid and glucose metabolism. This study explores the link between heavy metal exposure and TyG index changes, focusing on inflammation's mediating role, aiming to offer new strategies for CVD and IR prevention and management.</p><p><strong>Method: </strong>This research explores the association between heavy metal concentrations and TyG indicators, drawing on data from the National Health and Nutrition Examination Survey spanning 2011 to 2016. It employs a range of statistical approaches, such as linear and non-linear analyses, multiple linear regression, weighted quantile sum regression, and Bayesian kernel machine regression. Additionally, a mediation analysis investigates the role of inflammation in modifying the effects of heavy metal exposure.</p><p><strong>Result: </strong>The research analyzed data from a sample of 2,050 individuals, finding notable links between mixed heavy metals and variations in TyG markers. Specifically, the presence of heavy metal mixtures was associated with significant increases in these indicators. Additionally, six inflammatory markers were identified that act as intermediaries in the process leading from heavy metal exposure to alterations in TyG indicators.</p><p><strong>Conclusion: </strong>The study establishes a clear association between heavy metal and adverse changes in TyG markers, influenced in part by inflammation. These insights highlight the urgent need for improved monitoring of environmental health and specific strategies to decrease heavy metal exposure, thus lessening their harmful impact on cardiovascular health. The research enhances understanding of the dynamic interactions between environmental exposures and metabolic health, laying groundwork for public health initiatives aimed at curtailing chronic disease risks linked to heavy metals.</p>","PeriodicalId":18073,"journal":{"name":"Lipids in Health and Disease","volume":"24 1","pages":"46"},"PeriodicalIF":3.9,"publicationDate":"2025-02-13","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://www.ncbi.nlm.nih.gov/pmc/articles/PMC11823045/pdf/","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"143414559","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":"Development and validation of a novel metabolic health-related nomogram to improve predictive performance of cardiovascular disease risk in patients with prediabetes.","authors":"Erya Xiao, Ronghui Yu, Xinyuan Cai, Lang Jiang, Junhong Li, Cong Ma, Yuankang Liu, Le Liu, Guanghao Su, Xiaodong Wang","doi":"10.1186/s12944-025-02445-5","DOIUrl":"10.1186/s12944-025-02445-5","url":null,"abstract":"<p><strong>Objective: </strong>The prevalence of prediabetes among adults in the U.S. is three times higher than that of diabetes, highlighting a greater disease burden. Both diabetes and prediabetes have been demonstrated to be associated with an increased risk of cardiovascular disease (CVD). However, research has primarily focused on diabetes, with limited attention to CVD risk prediction in prediabetes. Emerging 13 metabolic health-related indicators have been proposed to optimize the predictive effect on CVD risk in patients with prediabetes. This study aimed to compare the predictive efficacy of these biomarkers and further develop a nomogram to improve predictive performance of the CVD risk in patients with prediabetes.</p><p><strong>Methods: </strong>All eligible participants in the National Health and Nutrition Examination Survey (NHANES) 1999-2020 were enrolled in this study and randomly assigned to the development and validation cohorts in a ratio of 7:3. In the development cohort, the efficacy of 13 indicators used to predict the CVD risk was assessed by receiver operative characteristic (ROC) curves. Independent risk predictors identified by multivariate logistic regression were used to construct a nomogram, and internal and external validation were further implemented.</p><p><strong>Results: </strong>The ROC curve demonstrated that the triglyceride-glucose (TyG) index was an effective predictor of CVD risk [area under the curve (AUC) = 0.694] and exhibited the best predictive performance among the 13 metabolic health-related indices. Based on independent risk factors identified by multivariate logistic regression, the CVD risk nomogram [including age, gender, hypertension, TyG, stress hyperglycemia ratio (SHR), and neutrophil-to-lymphocyte ratio (NLR)] was successfully constructed and validated with good performance (AUCs/C-indexes > 0.70 for all).</p><p><strong>Conclusion: </strong>This study developed a reliable nomogram for predicting CVD risk in patients with prediabetes. The model demonstrated robust performance and offered a simple yet individualized approach for predicting the CVD risk in patients with prediabetes.</p>","PeriodicalId":18073,"journal":{"name":"Lipids in Health and Disease","volume":"24 1","pages":"45"},"PeriodicalIF":3.9,"publicationDate":"2025-02-11","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://www.ncbi.nlm.nih.gov/pmc/articles/PMC11817872/pdf/","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"143399436","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":"Arachidonic acid is involved in high-salt diet-induced coronary remodeling through stimulation of the IRE1α/XBP1s/RUNX2/OPN signaling cascade.","authors":"Zhuoran Jia, Jian Wu, Fang Liu, Huimin Wang, Peiyang Zheng, Bing Shen, Ren Zhao","doi":"10.1186/s12944-025-02465-1","DOIUrl":"10.1186/s12944-025-02465-1","url":null,"abstract":"<p><strong>Background: </strong>The impact of a high-salt (HS) diet on metabolic disturbances in individuals with coronary heart disease remains unclear. The arachidonic acid (AA) metabolic pathway is closely linked to the development of cardiometabolic diseases and atherosclerotic cardiovascular diseases. Furthermore, endoplasmic reticulum stress (ERS) has emerged as a major contributor to cardiometabolic diseases. AA-related inflammation and ERS are hypothesized to play a role in HS diet-induced coronary remodeling.</p><p><strong>Methods: </strong>Rats were subjected to an HS diet for 4 weeks, and the serum concentration of AA was measured via enzyme-linked immunosorbent assay. Immunofluorescence staining and vascular tension measurements were conducted on coronary arteries. In addition, AA-stimulated coronary artery smooth muscle cells (CASMCs) were treated with ERS inhibitors to explore the underlying pathway involved.</p><p><strong>Results: </strong>Increased susceptibility to myocardial infarction in the HS diet-fed rats was accompanied by increased serum AA concentrations and increased expression of the key AA metabolic enzyme cyclooxygenase-2 (COX-2). AA incubation weakened the contraction of denuded coronary arteries, reduced the expression of contraction markers, and increased the fluorescence intensity of synthetic and ERS response markers in coronary arteries. Further investigation of CASMCs revealed that AA-induced phenotypic transformation was mediated via the ERS pathway.</p><p><strong>Conclusions: </strong>ERS and AA were found to be stimulated in CASMCs following an HS diet. AA triggers an ERS response through COX-2 catalysis, and the downstream inositol requiring enzyme 1 - X-box binding protein-1 - osteopontin pathway may contribute to the AA-induced phenotypic transformation of CASMCs, resulting in dysfunctional coronary tension. This study may provide potential therapeutic targets for cardiovascular diseases associated with excessive AA-derived ERS.</p>","PeriodicalId":18073,"journal":{"name":"Lipids in Health and Disease","volume":"24 1","pages":"44"},"PeriodicalIF":3.9,"publicationDate":"2025-02-11","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://www.ncbi.nlm.nih.gov/pmc/articles/PMC11817724/pdf/","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"143399316","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":"Impact of maternal lipid profiles on offspring birth size in late pregnancy among women with and without gestational diabetes.","authors":"Jing Peng, Li Zhang, Jing Jin, Huazhang Miao, Guocheng Liu, Yong Guo","doi":"10.1186/s12944-025-02458-0","DOIUrl":"10.1186/s12944-025-02458-0","url":null,"abstract":"<p><strong>Background: </strong>Maternal glucose and lipid levels are known to influence fetal growth. However, data on how maternal lipid profiles affect birth size in women with gestational diabetes (GDM) compared with those without GDM are scarce.</p><p><strong>Methods: </strong>This retrospective study included 10,490 women with singleton pregnancies (2351 with GDM and 8139 without GDM) between December 2016 and July 2022. Maternal serum levels of total cholesterol (TC), triglycerides (TGs), low-density lipoprotein (LDL) cholesterol, and high-density lipoprotein (HDL) cholesterol were measured at 28-42 weeks of gestation. Maternal glucose levels were determined using the 2-h oral glucose tolerance test. The neonatal birth weight was obtained at delivery and standardized as the birth weight z score according to the INTERGROWTH-21st standards.</p><p><strong>Results: </strong>Compared with women without GDM, those with GDM presented increased mean TG levels and decreased levels of TC, HDL cholesterol, and LDL cholesterol. TG levels were positively associated with birth weight in both the GDM and non-GDM groups, whereas TC, HDL cholesterol, and LDL cholesterol levels were mildly negatively correlated with birth weight. In the GDM group, an increase of 1 mmol/L in maternal TGs correlated with a 28.4 g increase in birth weight (95% CI: 17.8 to 39.1), whereas increases of 1 mmol/L in TC (-19.2 g; 95% CI: -31.9 to -6.5), HDL cholesterol (-120.7 g; 95% CI: -164.8 to -76.6), and LDL cholesterol (-22.2 g; 95% CI: -40.4 to -4) were associated with a decrease in birth weight. Compared with women with GDM with TG levels ≤ the 10th percentile, those with TG levels ≥ the 90th percentile had increased risks of large-for-gestational-age offspring (adjusted OR: 3.09; 95% CI: 1.51-6.30) and macrosomia (adjusted OR: 4.04; 95% CI: 1.37-11.93); this risk was stronger than that in women without GDM.</p><p><strong>Conclusions: </strong>This study provides evidence of a significant association between maternal lipid levels during late pregnancy and offspring birth size. However, the observational nature of the study limits the ability to establish causal relationships regarding the direct impact of lipid levels on birth size. Additionally, the influence of maternal lipid profiles is disproportionately greater in women with GDM than in women without GDM.</p>","PeriodicalId":18073,"journal":{"name":"Lipids in Health and Disease","volume":"24 1","pages":"43"},"PeriodicalIF":3.9,"publicationDate":"2025-02-10","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://www.ncbi.nlm.nih.gov/pmc/articles/PMC11809092/pdf/","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"143391284","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":"Genetic evidence for the liver-brain axis: lipid metabolism and neurodegenerative disease risk.","authors":"Zeyu Wang, Zixiao Yin, Guangyong Sun, Dong Zhang, Jianguo Zhang","doi":"10.1186/s12944-025-02455-3","DOIUrl":"10.1186/s12944-025-02455-3","url":null,"abstract":"<p><strong>Background: </strong>The liver‒brain axis is critical in neurodegenerative diseases (NDs), with lipid metabolism influencing neuroinflammation and microglial function. A systematic investigation of the genetic relationship between lipid metabolism abnormalities and ND, namely, Alzheimer's disease (AD), Parkinson's disease (PD), multiple sclerosis (MS), and amyotrophic lateral sclerosis (ALS), is lacking. To assess potential causal links between ND and six lipid parameters, two-sample Mendelian randomization (MR) was used.</p><p><strong>Methods: </strong>Large-scale European ancestry GWAS data for lipid parameters and ND (AD, ALS, PD, and MS) were used. Genetic variants demonstrating significant correlations (P < 5 × 10^-8) with lipid metabolism parameters were identified and employed as instrumental variables (IVs) after proper validation. The research incorporated UK Biobank genomic data to examine associations between genetic variants and lipid metabolism parameters. The analysis included primary MR, sensitivity analyses, and multivariable MR, which considered potential mediators.</p><p><strong>Results: </strong>MR via the inverse-variance weighted method revealed causal effects of cholesterol (CHOL, OR = 1.10, 95% CI: 1.03-1.18, P = 4.23 × 10⁻³) and low-density lipoprotein cholesterol (LDLC, OR = 1.10, 95% CI: 1.03-1.17, P = 3.28 × 10⁻³) on the risk of ALS, which were validated across multiple methods. Potential correlations were observed between ApoB and ALS and inversely correlated with AD, whereas no significant associations were found for PD or MS. CHOL and LDLC associations with ALS demonstrated no significant heterogeneity or pleiotropy, supporting their reliability.</p><p><strong>Conclusions: </strong>Higher CHOL and LDLC levels were associated with increased ALS risk, suggesting a potential causal link, and supporting the liver‒brain axis hypothesis in ND. Current genetic evidence does not support a significant role for lipid metabolism in PD and MS etiology, suggesting the relationship between lipid metabolism and other NDs may be more complex and warrants further investigation.</p>","PeriodicalId":18073,"journal":{"name":"Lipids in Health and Disease","volume":"24 1","pages":"41"},"PeriodicalIF":3.9,"publicationDate":"2025-02-08","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://www.ncbi.nlm.nih.gov/pmc/articles/PMC11806572/pdf/","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"143374362","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}