Tao Wu, Lingna Zhang, Jiao Tian, Yuyuan Lu, Yan Yang, Xin Yang, Penghui Jin, Yuanhui Gu, Xiaoke Wang, Lin Yi
{"title":"Correlation between dyslipidaemia and gastric cancer: pathogenesis to prevention and treatment strategies.","authors":"Tao Wu, Lingna Zhang, Jiao Tian, Yuyuan Lu, Yan Yang, Xin Yang, Penghui Jin, Yuanhui Gu, Xiaoke Wang, Lin Yi","doi":"10.1186/s12944-025-02625-3","DOIUrl":"10.1186/s12944-025-02625-3","url":null,"abstract":"<p><p>As the sixth most common cancer in the world, the development of gastric cancer (GC) is influenced by many factors. Recent studies have revealed a strong association between dyslipidaemia and GC. In this paper, the relationships between dyslipidaemia and GC are discussed in depth. We review the development of GC through the mechanisms of the inflammatory response, signalling pathways, and apolipoprotein function, and the intersecting targets of atherosclerosis and GC are explored. The synergistic effects of Helicobacter pylori infection and dyslipidaemia on the development of GC are also analysed, and the potential value of statins in the prevention and treatment of GC is discussed. In this review, we systematically investigated the relationship between dyslipidaemia and GC to provide new ideas for GC prevention and treatment.</p>","PeriodicalId":18073,"journal":{"name":"Lipids in Health and Disease","volume":"24 1","pages":"204"},"PeriodicalIF":3.9,"publicationDate":"2025-06-07","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://www.ncbi.nlm.nih.gov/pmc/articles/PMC12144744/pdf/","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"144248559","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":"Sex-specific and metabolic subgroup heterogeneity in high-density lipoprotein cholesterol associations with diabetic kidney disease risk: a retrospective cohort study.","authors":"Huabin Wang, Xuanlin Jin, Fenfang Lin, Guangming Chen, Meili Lin, Yongjun Ma","doi":"10.1186/s12944-025-02632-4","DOIUrl":"10.1186/s12944-025-02632-4","url":null,"abstract":"<p><strong>Background: </strong>The role of high-density lipoprotein cholesterol (HDL-C) in diabetic kidney disease (DKD) remains controversial. This study aimed to delineate the subgroup-specific relationships between the two by exploring cumulative and threshold effects.</p><p><strong>Methods: </strong>3,040 patients with type 2 diabetes and no baseline evidence of DKD were included. Cox proportional hazards regression models were performed to investigate the potential relationship between HDL-C level and DKD risk. To address subgroup heterogeneity, sex-stratified restricted cubic splines (RCS) were employed to model nonlinear relationships. The optimal threshold was identified through the maximum selected statistics and validated via 1,000 bootstrap iterations. Subgroup analyses stratified by sex, diabetes duration, and metabolic status were performed to evaluate heterogeneity. Survival analysis using Kaplan-Meier curves further validated these threshold effects.</p><p><strong>Results: </strong>During a median follow-up of 3.13 years, 665 subjects (21.9%) progressed to DKD. Overall, each 1 mmol/L increase in HDL-C level independently reduced DKD risk by 43%. RCS analysis demonstrated an inverse correlation between HDL-C and DKD risk (P for overall = 0.025, P for nonlinear = 0.317), with increased risk reduction at lower concentrations, plateauing at higher levels. A robust threshold of 0.93 mmol/L was identified, showing significantly stronger protection against DKD progression (hazard ratio (HR) = 0.69, P < 0.001) compared to the traditional cutoff (HR = 0.86, P = 0.109). Females showed continuous protection (HR = 0.41, P = 0.009) without threshold dependency. The male and diabetes duration < 10 years subgroups exhibited threshold effects at > 0.93 mmol/L without continuous protection. The metabolically unstable (hypertension, poorly controlled glycemia, body mass index (BMI) > 28 kg/m<sup>2</sup>) and BMI < 24 kg/m² subgroups displayed dual effects (P < 0.05). Survival analysis confirmed lower cumulative DKD incidence with HDL-C > 0.93 mmol/L (P = 0.007).</p><p><strong>Conclusions: </strong>This study reveals sex- and metabolic context-dependent heterogeneity in HDL-C-DKD associations: males and short-duration diabetes exhibited threshold effects (0.93 mmol/L), females showed continuous protection, and subgroups with hypertension, poorly controlled glycemia, or obesity (BMI > 28 kg/m²) exhibited both continuous protection and threshold effects. These findings may inform individualized risk stratification in specific populations.</p>","PeriodicalId":18073,"journal":{"name":"Lipids in Health and Disease","volume":"24 1","pages":"205"},"PeriodicalIF":3.9,"publicationDate":"2025-06-07","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://www.ncbi.nlm.nih.gov/pmc/articles/PMC12144804/pdf/","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"144248563","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":"Exploring the association between healthy lifestyle score and atherogenic indices in a general population of Iranian adults.","authors":"Reza Amani-Beni, Bahar Darouei, Noushin Mohammadifard, Awat Feizi, Motahare Bateni, Fahimeh Haghighatdoost, Maryam Boshtam, Narges Grau, Nizal Sarrafzadegan","doi":"10.1186/s12944-025-02631-5","DOIUrl":"10.1186/s12944-025-02631-5","url":null,"abstract":"<p><strong>Background: </strong>Atherogenic indices outperform traditional lipid markers; however, the combined association of lifestyle habits with these indices remains unclear. This study, which is based on population data, explored the link between the Healthy Lifestyle Score (HLS) and various atherogenic indices.</p><p><strong>Methods: </strong>In this cross-sectional analysis of the 2013 Isfahan Cohort Study 2 (participants aged ≥ 35 years), HLS was derived from four factors: smoking status, body mass index (18.5-24.9 kg/m²), physical activity (≥ 1350 MET minutes/week), and diet quality (top two quintiles of the Alternate Healthy Eating Index-2010). Each factor was scored as 1 for adherence and zero otherwise, yielding a score of 0-4. The atherogenic indices included the Atherogenic Coefficient (AC), Atherogenic Index of Plasma (AIP), Atherogenic Combined Index (ACI), Castelli Risk Indices I and II (CRI-I/II), non-high-density Lipoprotein Cholesterol (NHC), Lipoprotein Combined Index (LCI), Remnant Lipoprotein Cholesterol (RLPC), and triglyceride/high-density lipoprotein cholesterol (TG/HDL-C) ratio. Logistic and linear regression analyses were conducted to examine these associations after adjusting for confounders.</p><p><strong>Results: </strong>Among 2,256 participants (49.7% men), the overall mean age was 58.15 ± 9.89 years. Across the population, a higher HLS was strongly linked to a decreased likelihood of elevated levels of individual atherogenic indices. Compared to individuals with HLS 0-1, those with HLS 3-4 had notably reduced odds of high AIP (odds ratio (OR): 0.42; 95% CI: 0.30-0.59), ACI (OR: 0.60; 95% CI: 0.47-0.77), and other indices (all P for trend < 0.05). Sex-stratified analyses revealed distinct patterns: in men, HLS was strongly associated with lower TG/HDL-C, AIP, and ACI, whereas in women, stronger associations were observed with cholesterol-driven markers (AC, NHC, RLPC, CRI-I, and CRI-II). Linear regression analysis confirmed that each unit increase in HLS corresponded to lower continuous values of these indices in the total population. AIP emerged as the most sensitive marker in both sexes.</p><p><strong>Conclusions: </strong>Adherence to a healthier lifestyle, as measured by the HLS, was significantly associated with lower atherogenic indices, highlighting its role in reducing cardiovascular risk. These results support integrating lifestyle interventions with cardiovascular prevention. Future studies should assess the causal impact of lifestyle modifications on atherogenic profiles.</p>","PeriodicalId":18073,"journal":{"name":"Lipids in Health and Disease","volume":"24 1","pages":"206"},"PeriodicalIF":3.9,"publicationDate":"2025-06-07","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://www.ncbi.nlm.nih.gov/pmc/articles/PMC12144818/pdf/","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"144248560","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":"Associations of the atherogenic index of plasma with 28-day in-hospital mortality in patients with acute myocardial infarction: a retrospective cohort study from the eICU.","authors":"Yan Wang, Hong-Fei Zhang","doi":"10.1186/s12944-025-02630-6","DOIUrl":"10.1186/s12944-025-02630-6","url":null,"abstract":"<p><strong>Background: </strong>Despite substantial advancements in treatment strategies, acute myocardial infarction (AMI) continues to exhibit high mortality. Recent research has identified the atherogenic index of plasma (AIP) as a significant measure of cardiovascular outcomes. However, the relationship between the AIP and 28-day mortality during hospitalization in AMI patients remains to be further clarified.</p><p><strong>Methods: </strong>A retrospective analysis was conducted based on data sourced from the eICU Collaborative Research Database, encompassing records of 2,517 AMI patients treated in 208 critical care facilities across the U.S. from 2014 to 2015. AIP measurements were derived via log10 (triglyceride/high-density lipoprotein cholesterol) calculations. The primary endpoint was 28-day in-hospital mortality. The analysis utilized adjusted multivariable logistic models with restricted cubic splines for nonlinear associations. Subgroup analyses were performed to evaluate the relationships between AIP and mortality across various demographic and clinical subgroups. These subgroups included age, sex, body mass index (BMI), congestive heart failure, intubation status, mechanical ventilation, pneumonia, diabetes mellitus, antihyperlipidaemic agents, and AMI types.</p><p><strong>Results: </strong>Among the 2,517 patients enrolled in the cohort (median age: 64.42 years), 138 (5.48%) died within 28 days. The analysis revealed a nonlinear association between the AIP and mortality, presenting a J-curve shape with a threshold of 0.60 (P for nonlinearity = 0.028). Each 0.1-unit elevation above 0.60 corresponded to a 22% increased mortality risk (adjusted OR = 1.22, 95% CI: 1.09-1.36; P = 0.0004). The highest AIP quartile had a 112% greater mortality risk than the lowest quartile (adjusted OR = 2.12, 95% CI: 1.15-3.88; P = 0.0154). Subgroup analyses revealed consistent patterns across the strata.</p><p><strong>Conclusion: </strong>The relationship between the AIP and 28-day hospital mortality in AMI patients may be characterized by a J-shaped curve, where elevated AIP values are associated with increased mortality risk.</p>","PeriodicalId":18073,"journal":{"name":"Lipids in Health and Disease","volume":"24 1","pages":"202"},"PeriodicalIF":3.9,"publicationDate":"2025-06-06","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://www.ncbi.nlm.nih.gov/pmc/articles/PMC12142996/pdf/","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"144248558","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}
Camille Petitfils, Clara Depommier, Nathalie M Delzenne, Amandine Everard, Matthias Van Hul, Patrice D Cani
{"title":"Fecal Dysosmobacter spp. concentration is linked to plasma lipidome in insulin-resistant individuals with overweight, obesity and metabolic syndrome.","authors":"Camille Petitfils, Clara Depommier, Nathalie M Delzenne, Amandine Everard, Matthias Van Hul, Patrice D Cani","doi":"10.1186/s12944-025-02629-z","DOIUrl":"10.1186/s12944-025-02629-z","url":null,"abstract":"<p><strong>Background: </strong>Obesity is reaching epidemic proportions worldwide. This excessive increase of adipose tissue is a risk factor for the development of multiple diseases and premature death. Amongst associated diseases, metabolic syndrome is one of the main comorbidities of obesity. In this context, the gut microbiota has been recognized as both shaping and responding to host energy metabolism. Recently metabolomics has emerged as a powerful tool to capture a snapshot of the metabolites present in a specific tissue, providing new insights into host-microbiota interactions. Integrating metabolomics with gut microbiota studies could help us better understand how specific species impact on host metabolomic profile. Dysosmobacter welbionis has been identified as a promising next generation beneficial bacteria with potential effects on fat mass and glucose metabolism in mice, and fecal Dysosmobacter spp. concentration was inversely correlated to body mass index fasting glucose and plasmatic HbA1c in humans.</p><p><strong>Methods: </strong>Concentration of Dysosmobacter spp. was quantified by qPCR in the stools of insulin resistant overweight/obese participants with a metabolic syndrome and plasma metabolites were analyzed using untargeted metabolomics. Correlations between Dysosmobacter spp. fecal abundance and the 1169 identified plasma metabolites were uncovered using Spearman correlations followed by a false discovery rate correction.</p><p><strong>Results: </strong>Interestingly, among the detected metabolites, Dysosmobacter spp. was exclusively associated with lipid molecules. Fecal concentration of Dysosmobacter spp. was positively associated with plasmatic levels of five phosphatidylcholines, arachidonate, two monoacylglycerols, twelve diacylglycerols, three lysophosphatidylethanolamines, one phosphatidylinositol and three lysophosphatidylinositols, as well as glycerophosphoethanolamines, glycerophosphatidylcholine and PC(P-16:0). The correlation was particularly interesting with acylcholine and lysophosphatidylcholine metabolites as, respectively, 6/8 and 8/10 detected molecules were positively associated with Dysosmobacter spp.</p><p><strong>Conclusion: </strong>These results suggest that Dysosmobacter spp. plays a specific role in host lipid metabolism. This finding aligns with previous in vivo studies highlighting lipid profile alterations in multiple tissues of mice treated with this bacterium. Further studies are needed to elucidate the underlying mechanisms and assess its potential therapeutic applications.</p>","PeriodicalId":18073,"journal":{"name":"Lipids in Health and Disease","volume":"24 1","pages":"203"},"PeriodicalIF":3.9,"publicationDate":"2025-06-06","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://www.ncbi.nlm.nih.gov/pmc/articles/PMC12142885/pdf/","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"144248561","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}
Victoria M Taormina, Simonne Eisenhardt, Matthew P Gilbert, Matthew E Poynter, C Lawrence Kien, Jana Kraft
{"title":"Full-fat yogurt compared with non-fat yogurt reduces blood triacylglycerol concentrations and lowers the triacylglycerol content in specific lipoprotein subclasses in adults with prediabetes: an exploratory analysis of a randomized-controlled trial.","authors":"Victoria M Taormina, Simonne Eisenhardt, Matthew P Gilbert, Matthew E Poynter, C Lawrence Kien, Jana Kraft","doi":"10.1186/s12944-025-02616-4","DOIUrl":"10.1186/s12944-025-02616-4","url":null,"abstract":"<p><strong>Background: </strong>Low- and non-fat dairy foods have long been recommended over full-fat dairy foods due to the negative effect of saturated fatty acids on blood lipids. Recent research, however, suggests saturated fatty acids from dairy foods may not impart these negative health effects. Our objective was to evaluate changes in blood lipids following a diet with full-fat (3.25%) yogurt compared with a diet with non-fat yogurt.</p><p><strong>Methods: </strong>A randomized, double-masked crossover controlled-feeding trial was performed. Participants with prediabetes (n = 13, 7 female and 6 male participants) consumed three daily servings of full-fat or non-fat yogurt for the three weeks of each experimental diet. A one-week run-in diet preceded each experimental diet period. After each experimental diet period and the first run-in diet period, fasting blood and blood drawn at four post-prandial time points during a mixed meal tolerance test were analyzed for lipoprotein concentrations and contents (i.e., the lipid fractions within the lipoproteins). Statistical analyses were performed using linear mixed models, with values from the first run-in diet as the covariate.</p><p><strong>Results: </strong>Fasting blood triacylglycerol concentrations were 10% lower in response to the full-fat yogurt diet, compared with the non-fat yogurt diet (P < 0.01). While no diet-induced differences were observed in lipoprotein subclass concentrations, the triacylglycerol contents of smaller very low-density, intermediate-density, and low-density lipoproteins were lower in response to the full-fat yogurt diet (P ≤ 0.01). Trends indicated potentially greater high-density lipoprotein cholesterol concentrations and high-density lipoprotein size following the full-fat yogurt diet (P ≤ 0.05). The ratio of triacylglycerols: high-density lipoprotein cholesterol concentrations was 17% lower following the full-fat yogurt diet (P < 0.01).</p><p><strong>Conclusions: </strong>This exploratory analysis demonstrates that short-term full-fat yogurt consumption elicits beneficial effects on the blood lipid profile in individuals with prediabetes and highlights the need for further evaluation of the contribution of dairy fat in yogurt and other dairy food matrices in lipid homeostasis and metabolic health.</p><p><strong>Trial registration: </strong>This trial is registered at clinicaltrials.gov (NCT03577119).</p>","PeriodicalId":18073,"journal":{"name":"Lipids in Health and Disease","volume":"24 1","pages":"201"},"PeriodicalIF":3.9,"publicationDate":"2025-06-05","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://www.ncbi.nlm.nih.gov/pmc/articles/PMC12139295/pdf/","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"144234484","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":"Central adiposity indices and inflammatory markers mediate the association between life's crucial 9 and periodontitis in US adults.","authors":"Jia-Jie Guo, Qi-Qi Hang, Ting Xu, Wei-Xuan Liang, Jia-Kun Gao, Hong-Biao Ou, Fu-Zhen Jiang, Xi-Chen-Hui Qiu, Zu-Zhang Tian, Yu-Zhong Zhang, Jing Zhang","doi":"10.1186/s12944-025-02619-1","DOIUrl":"10.1186/s12944-025-02619-1","url":null,"abstract":"<p><strong>Background: </strong>Periodontitis, a chronic inflammatory disease, is closely linked to cardiovascular health. While Life's Essential 8 (LE8) evaluates cardiovascular metrics, recent recommendations suggest incorporating psychological health (PHQ-9) to form Life's Crucial 9 (LC9). However, evidence regarding the utility of LC9 in periodontal disease remains limited.</p><p><strong>Methods: </strong>We analyzed data from 7,674 adults in the 2009-2014 NHANES cycles. LC9 scores were calculated by integrating LE8 and PHQ-9 metrics, then categorized into quartiles. The association between LC9 and periodontitis was examined using weighted logistic regression, restricted cubic spline (RCS), subgroup and WQS analyses. Mediation analysis assessed the roles of central adiposity (ABSI, WWI) and systemic inflammation (SII, SIRI).</p><p><strong>Results: </strong>Higher LC9 scores were associated with lower periodontitis prevalence (29.4% in highest vs. 52.1% in lowest quartile; P < 0.001), with a 15.5% risk reduction per 10-unit increase (OR = 0.845; 95% CI: 0.795-0.897). WQS analysis identified nicotine exposure, sleep health, blood glucose, blood pressure, and depressive symptoms as key contributors. Mediation analysis showed partial effects through WWI (21.617%), ABSI (10.869%), SIRI (7.120%), and SII (5.351%). LC9 did not significantly outperform LE8 in prediction.</p><p><strong>Conclusions: </strong>Higher LC9 score is linked to reduced periodontitis prevalence and severity, with central adiposity and systemic inflammation partially mediating this relationship. These findings emphasize comprehensive cardiovascular health management may help reduce periodontal disease risk.</p>","PeriodicalId":18073,"journal":{"name":"Lipids in Health and Disease","volume":"24 1","pages":"199"},"PeriodicalIF":3.9,"publicationDate":"2025-06-03","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://www.ncbi.nlm.nih.gov/pmc/articles/PMC12131473/pdf/","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"144216301","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":"TNFα activation of the PLEKHA5-FCRLA axis disturbs lipid metabolism, leading to the progression of cutaneous malignant melanoma.","authors":"Kexin Yan, Wei Zhang, Wenqi Chu, Jinliang Qi, Hao Song, Xiulian Xu","doi":"10.1186/s12944-025-02597-4","DOIUrl":"10.1186/s12944-025-02597-4","url":null,"abstract":"<p><strong>Background: </strong>Cutaneous malignant melanoma (CMM) ranks among the deadliest forms of cancer. Abnormalities in lipid metabolism may have a connection with the risk of CMM progression.</p><p><strong>Methods: </strong>Lipid metabolism-related genes were selected in MSigDB. A lipid metabolism-related predictive model was constructed in The Cancer Genome Atlas-skin cutaneous melanoma (TCGA-SKCM) using univariate Cox regression analysis, non-negative matrix factorization (NMF) clustering analysis, Weighted correlation network analysis (WGCNA), least absolute shrinkage and selection operator regression (LASSO) analysis, and outcomes-related genes were identified. The roles of candidate genes in CMM were determined using in vivo and in vitro experiments, and the pathway mechanism of the candidate gene was studied using transcriptomics, proteomics, lipid metabolomics, and other molecular biological methods.</p><p><strong>Results: </strong>A predictive model was established, Risk Score = -0.009 * UBE2L6 + 0.033 * PLEKHA5 + 0.024 * LHB + 0.036 * CARM1 + 0.016 * PRXL2B + 0.131 * PLA2G4D. The pleckstrin homology domain-containing A5 (PLEKHA5) was identified as an essential gene and positively correlated with poor outcomes in CMM. Fc receptor-like A (FCRLA) is the downstream gene of PLEKHA5, upregulated in CMM, and tumor necrosis factor alpha (TNFα) is also an essential cytokine that promotes CMM proliferation and metastasis. Lipid metabolomics showed that PLEKHA5 knockdown increased ceramide and sphingosine levels while decreasing cholesterol ester and triglyceride levels in CMM cells, possibly related to disease progression.</p><p><strong>Conclusion: </strong>The predictive model of CMM related to lipid metabolism was constructed. TNFα activates the PLEKHA5-FCRLA axis to enhance neutral lipid storage and energy metabolism in CMM cells, promoting malignant behavior.</p>","PeriodicalId":18073,"journal":{"name":"Lipids in Health and Disease","volume":"24 1","pages":"198"},"PeriodicalIF":3.9,"publicationDate":"2025-06-03","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://www.ncbi.nlm.nih.gov/pmc/articles/PMC12131485/pdf/","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"144216255","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":"Correlation between Castelli risk index-I and female infertility: A cross-sectional study.","authors":"WeiJing Yang, XingLong Liu, YuChan Wang, YaLu Fu, ChunE Ren, AiFang Jiang, YuHan Meng","doi":"10.1186/s12944-025-02617-3","DOIUrl":"10.1186/s12944-025-02617-3","url":null,"abstract":"<p><strong>Background: </strong>The association between metabolic syndrome and female reproductive health has garnered increasing attention; however, the relationship between the Castelli risk index I (CRI-I, total cholesterol/high-density lipoprotein cholesterol ratio) and infertility remains unclear. This study was designed to explore the potential association between CRI-I and female infertility.</p><p><strong>Methods: </strong>The study population was derived from data collected in three consecutive two-year cycles (2013-2018) of the National Health and Nutrition Examination Survey (NHANES), ultimately including 2,629 female participants aged 18-45 years. Weighted multivariable logistic regression models were used to assess the association between CRI-I and infertility following adjustment for covariates such as demographic characteristics, medical history, and lifestyle factors, among others. Restricted cubic spline and threshold effect analyses were conducted to examine possible nonlinear associations. Subgroup analyses and ROC curves were used to assess robustness and predictive capacity.</p><p><strong>Results: </strong>CRI-I scores were significantly elevated in the infertile group in comparison with the non-infertile group (median [interquartile range, IQR]: 3.38 [2.77-4.07] vs. 3.08 [2.53-3.80]; P = 0.001). CRI-I showed a positive monotonic association with infertility risk, with each unit increase corresponding to a 17% higher likelihood (adjusted OR = 1.17, 95% CI: 1.01-1.36; P = 0.042). Nonlinear analysis identified a threshold effect between CRI-I and infertility risk (inflection point = 3.73): the risk increased significantly when CRI-I was < 3.73 (OR = 1.54, 95% CI: 1.20-1.98), whereas the association attenuated above this threshold. Subgroup analysis revealed a significant interaction by hypertension status (interaction P < 0.05). CRI-I demonstrated modest predictive utility for female infertility (AUC = 0.580, 95% CI: 0.548-0.613).</p><p><strong>Conclusions: </strong>Elevated CRI-I scores were positively associated with female infertility, particularly in specific subgroups (e.g., younger, married, non-hypertensive, or alcohol-consuming individuals). These findings underscore the potential role of dysregulated lipid metabolism in female reproductive dysfunction.</p>","PeriodicalId":18073,"journal":{"name":"Lipids in Health and Disease","volume":"24 1","pages":"200"},"PeriodicalIF":3.9,"publicationDate":"2025-06-03","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://www.ncbi.nlm.nih.gov/pmc/articles/PMC12131381/pdf/","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"144216254","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}
David W Russ, Ravikumar Manickam, Srinivas M Tipparaju
{"title":"Targeting intramyocellular lipids to improve aging muscle function.","authors":"David W Russ, Ravikumar Manickam, Srinivas M Tipparaju","doi":"10.1186/s12944-025-02622-6","DOIUrl":"10.1186/s12944-025-02622-6","url":null,"abstract":"<p><p>Decline of skeletal muscle function in old age is a significant contributor to reduced quality of life, risk of injury, comorbidity and disability and even mortality. While this loss of muscle function has traditionally been attributed to sarcopenia (loss of muscle mass), it is now generally appreciated that factors other than mass play a significant role in age-related muscle weakness. One such factor gaining increased attention is the ectopic accumulation of lipids in skeletal muscle, in particular, intramyocellular lipids (IMCLs). It has been appreciated for some time that metabolic flexibility of several tissues/organs declines with age and may be related to accumulation of IMCLs in a \"vicious cycle\" whereby blunted metabolic flexibility promotes accumulation of IMCLs, which leases to lipotoxicity, which can then further impair metabolic flexibility. The standard interventions for addressing lipid accumulation and muscle weakness remain diet (caloric restriction) and exercise. However, long-term compliance with both interventions in older adults is low, and in the case of caloric restriction, may be inappropriate for many older adults. Accordingly, it is important, from a public health standpoint, to pursue potential pharmacological strategies for improving muscle function. Because of the success of incretin-analog drugs in addressing obesity, these medications may potentially reduce IMCLs in aging muscles and thus improve metabolic flexibility and improve muscle health. A contrasting potential pharmacological strategy for addressing these issues might be to enhance energy provision to stimulate metabolism by increasing NAD + availability, which is known to decline with age and has been linked to reduced metabolic flexibility. In this narrative review, we present information related to IMCL accumulation and metabolic flexibility in old age and how the two major lifestyle interventions, caloric restriction and exercise, can affect these factors. Finally, we discuss the potential benefits and risks of select pharmacologic interventions in older adults.</p>","PeriodicalId":18073,"journal":{"name":"Lipids in Health and Disease","volume":"24 1","pages":"197"},"PeriodicalIF":3.9,"publicationDate":"2025-05-31","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://www.ncbi.nlm.nih.gov/pmc/articles/PMC12125834/pdf/","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"144191957","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}