Shieon Kim, Hee Ju Jun, Garam Jo, Dahyun Park, Soyoung Kwak, Min-Jeong Shin, Ronald M Krauss
{"title":"Associations of plasma level of soluble LDL receptor with cardiovascular events and mortality in a large prospective cohort study.","authors":"Shieon Kim, Hee Ju Jun, Garam Jo, Dahyun Park, Soyoung Kwak, Min-Jeong Shin, Ronald M Krauss","doi":"10.1186/s12944-026-02920-7","DOIUrl":"10.1186/s12944-026-02920-7","url":null,"abstract":"<p><p>BACKGROUND: Soluble low-density lipoprotein receptor (sLDLR) is proteolytically cleaved from cell membranes and released into the circulation. Prior studies have linked plasma sLDLR to atherogenic lipids, but prospective evidence for its relation to cardiovascular outcomes is limited. This study aimed to evaluate associations between circulating sLDLR and risks of myocardial infarction (MI), heart failure (HF), and cardiovascular (CVD) mortality, as well as all-cause mortality. METHODS: We analyzed data from 47,518 participants in the UK Biobank who were free of CVD at baseline, with a median follow-up of 12.8 years. Nested Cox proportional hazards models were used to estimate associations between Olink-based sLDLR levels and outcomes. RESULTS: Participants in the highest tertile of sLDLR were older, had higher BMI, and displayed more adverse lipid and inflammatory profiles. In models that included demographic and clinical data, each 1-SD increase of sLDLR was linked to higher MI risk but to lower risk of CVD mortality. With further adjustment for BMI, the association of sLDLR with MI remained significant (HR 1.32, [95% CI 1.17,1.50]), the inverse association with CVD mortality was further strengthened (HR 0.76 [0.64–0.90]), and significant inverse associations with HF and all-cause mortality also became apparent. Notably, HRs for all endpoints except CVD mortality were reduced to insignificance by adjustment for LDL-cholesterol (LDL-C). Time-dependent ROC analyses indicated consistent predictive performance across outcomes for up to 10 years of follow-up. CONCLUSIONS: sLDLR was associated with LDL-C-dependent MI risk but with protection from CVD mortality, and with LDL-C- and BMI-dependent inverse associations with HF and all-cause mortality. These findings point to sLDLR as a potential outcome-specific biomarker and indicate that LDL-C level and adiposity influence the observed associations. </p>","PeriodicalId":18073,"journal":{"name":"Lipids in Health and Disease","volume":" ","pages":""},"PeriodicalIF":6.9,"publicationDate":"2026-04-10","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://www.ncbi.nlm.nih.gov/pmc/articles/PMC13188685/pdf/","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"147654163","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}
Ling Xiao, Yin Zeng, Si Zheng, Xiao-Yan Wang, Zhen Guo, Ying Cui, Rui Tang, Lin-Lin Guo, Jiao Li
{"title":"Assessment of BMI percentages of obesity thresholds and cardiometabolic risk factors in children and adolescents: a retrospective cross-sectional study in Beijing.","authors":"Ling Xiao, Yin Zeng, Si Zheng, Xiao-Yan Wang, Zhen Guo, Ying Cui, Rui Tang, Lin-Lin Guo, Jiao Li","doi":"10.1186/s12944-026-02940-3","DOIUrl":"10.1186/s12944-026-02940-3","url":null,"abstract":"<p><p>BACKGROUND: The prevalence of pediatric obesity, particularly severe obesity, is rising rapidly in China. Few studies have examined the relationship between body mass index (BMI) expressed as percentages of obesity thresholds (%BMI) and cardiometabolic risks in Chinese pediatric population. This study aims to evaluate the dose-response relationship between %BMI and cardiometabolic risk factors among children and adolescents in Beijing. METHODS: This retrospective cross-sectional study utilized electronic health records (EHRs) of children and adolescents aged 7–18 years with obesity attending a specialized clinic. Anthropometric and laboratory data were extracted and validated. Individuals were categorized into class 1 obesity (BMI 100–120% of the obesity thresholds), class 2 (120–140%), and class 3 (≥ 140%). Logistic regression assessed the associations between obesity subcategories and four cardiometabolic risk factors, including prediabetes, dyslipidemia, insulin resistance (IR), and elevated liver enzymes. Restricted cubic spline (RCS) models were used to investigate the dose-response relationship between %BMI and cardiometabolic risk factors. RESULTS: Among 1,761 included individuals, class 3 obesity was associated with significantly higher odds of prediabetes (OR = 1.49 [95% CI: 1.01–2.19] for boys; OR = 2.91 [95% CI: 1.57–5.41] for girls), IR (OR = 4.40 [95% CI: 2.66–7.51] for boys; OR = 3.52 [95% CI: 1.63–8.35] for girls), and elevated liver enzymes (OR = 2.65 [95% CI: 1.81–3.93] for boys; OR = 2.97 [95% CI: 1.65–5.47] for girls) compared to class 1. Linear dose-response relationships were observed between %BMI and these factors. Dyslipidemia and its components (e.g., low high-density lipoprotein cholesterol and high triglyceride) exhibited complex dose-response relationships that varied by sex and Tanner Stage. CONCLUSIONS: Among obese children and adolescents in Beijing, higher %BMI might be linearly associated with greater likelihood of prediabetes, IR, and elevated liver enzymes, while dyslipidemia exhibits sex- and puberty-specific patterns. Further researches are required to characterize cardiometabolic risks across the obesity spectrum in Chinese pediatric population to inform targeted interventions. </p>","PeriodicalId":18073,"journal":{"name":"Lipids in Health and Disease","volume":" ","pages":""},"PeriodicalIF":6.9,"publicationDate":"2026-04-10","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://www.ncbi.nlm.nih.gov/pmc/articles/PMC13188306/pdf/","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"147654129","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}
Juliane Maushagen, Elena Grune, Christopher L Schlett, Lena Sophie Kiefer, Karsten Suhre, Jerzy Adamski, Rui Wang-Sattler, Annette Peters, Fabian Bamberg, Susanne Rospleszcz
{"title":"Serum metabolite patterns of adipose tissue distribution and body composition subphenotypes.","authors":"Juliane Maushagen, Elena Grune, Christopher L Schlett, Lena Sophie Kiefer, Karsten Suhre, Jerzy Adamski, Rui Wang-Sattler, Annette Peters, Fabian Bamberg, Susanne Rospleszcz","doi":"10.1186/s12944-026-02944-z","DOIUrl":"10.1186/s12944-026-02944-z","url":null,"abstract":"<p><strong>Background: </strong>Obesity prevalence is increasing globally, accompanied by increases in obesity-related diseases. While obesity is usually defined by BMI, the development of obesity-related disease might be better characterized by specific adipose tissue (AT) distributions or body composition subphenotypes. Serum metabolite patterns reflecting AT distribution could provide insights into potential underlying pathophysiological pathways and the interplay between AT depots. We therefore aim to identify metabolite signatures associated with specific AT depots and body composition subphenotypes.</p><p><strong>Methods: </strong>Targeted metabolites (Biocrates p180 kit) were measured in fasted serum for N = 390 individuals from the population-based KORA-FF4 cohort (42% women, average age 56y). AT was measured by magnetic resonance imaging. Association of n = 29 AT depots (visceral (VAT), subcutaneous (SAT), pancreas, bone marrow, skeletal muscle, heart, kidney) and five body composition subphenotypes with 146 metabolites and 40 derived indicators were investigated by linear regressions with confounder adjustment for traditional cardiovascular disease risk factors and life style parameters.</p><p><strong>Results: </strong>Subphenotypes were associated with 59, and single ATs with 275 metabolites or indicators, with VAT and SAT showing most associations. Compared to subphenotype I (low overall ATs), subphenotype II (average ATs) showed positive associations with diacylglycerophospholipids with differently saturated C32 fatty acid and sphingomyelins. Subphenotype III (high muscle and bone marrow fat) was negatively associated with total lysophosphatidylcholines (lyso-PCs) and total monounsaturated lyso-PCs, while showing a positive association with total long-chain acylcarnitines (C14-C18). Subphenotype IV (high SAT, high VAT and high liver fat) exhibited positive associations with short-chain acylcarnitines, alanine and aromatic amino acids. Subphenotype V (high pancreas fat fraction) was related to arginine and the ratio of ornithine and arginine as surrogate for ornithine synthesis. Three metabolites or indicators (lysoPC C 18.2, total polyunsaturated lyso-PC, phospholipase A2 as ratio of lyso-PC/diacyl- and acylalkylglycerophospholipids) were associated with all subphenotypes. These results were supported by the associations of individual ATs with metabolites or indicators.</p><p><strong>Conclusions: </strong>ATs, including ectopic fat depots such as pancreas fat, and subphenotypes of body composition show distinct serum metabolite patterns, which can serve as a first step to characterize potential obesity-related pathophysiological pathways.</p>","PeriodicalId":18073,"journal":{"name":"Lipids in Health and Disease","volume":" ","pages":""},"PeriodicalIF":6.9,"publicationDate":"2026-04-09","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://www.ncbi.nlm.nih.gov/pmc/articles/PMC13081499/pdf/","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"147645744","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":"Joint associations of grip strength, lipid levels, and lipid-related genetic risk with atrial fibrillation.","authors":"Zihao Zhang, Jianfeng Huang, Xu Wang, Qing Li, Yirong Yang, Kuan Ning, Yifan Wang, Tanxiu Chen, Rui Xiong, Xinjie Liu, Shaolie Huang, Lijuan Deng, Pingping Shen, Yian Zhan, Shanhua Xiao, Wen-Quan Zou","doi":"10.1186/s12944-026-02941-2","DOIUrl":"10.1186/s12944-026-02941-2","url":null,"abstract":"<p><p>INTRODUCTION: The associations between lipid levels and atrial fibrillation (AF) remain inconsistent, and whether functional status modifies these relationships is unclear. In this prospective cohort study, the joint associations of grip strength, lipid levels, and lipid-related genetic risk with incident AF were evaluated. METHODS: A prospective cohort analysis was conducted, and Cox models were used to evaluate the associations of lipid levels, lipid-related polygenic risk scores (PRSs), and grip strength with incident AF. Joint exposure categories were constructed according to lipid status (normal vs. elevated) and grip strength level (normal vs. reduced) to compare AF risk across different combinations. Age-stratified analyses were further conducted to examine age-related heterogeneity. Interaction terms between lipid levels and grip strength were included to test interaction and assess the effect modification of grip strength on the lipid-AF association. Participants receiving lipid-lowering therapy at baseline were excluded in sensitivity analyses. RESULTS: Lipid levels, lipid-related PRSs, and grip strength were each associated with incident AF. In joint exposure analyses, individuals with both elevated lipid levels and reduced grip strength had a lower risk of AF than those with elevated lipids but normal grip strength in the overall population [HR 0.925 (0.889, 0.961)]. However, among participants younger than 55 years, the coexistence of elevated lipids and reduced grip strength was associated with a higher risk compared with having either abnormality alone. Interaction analyses demonstrated significant relations between low-density lipoprotein (LDL) levels, LDL-PRS, and grip strength, indicating that the latter significantly modified the association between lipids and AF. When grip strength was below 41.53 kg for LDL, below 48.90 kg for total cholesterol, and within 17.07–36.11 kg for triglycerides, elevated lipid levels were linked to a reduced risk of AF; this association gradually attenuated and became non-significant as grip strength increased. CONCLUSIONS: This study found that grip strength significantly modified the associations of lipid levels and lipid-related genetic risk with AF, with evident age-related heterogeneity. In individuals younger than 55 years, effective lipid management and improving muscle strength may help reduce the risk of AF. </p>","PeriodicalId":18073,"journal":{"name":"Lipids in Health and Disease","volume":" ","pages":""},"PeriodicalIF":6.9,"publicationDate":"2026-04-09","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://www.ncbi.nlm.nih.gov/pmc/articles/PMC13188619/pdf/","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"147645741","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":"Lower triglyceride-cholesterol-body weight index is independently associated with increased in-hospital complication risk: a large multicenter real-world study.","authors":"Yonghao Li, Yilin Li, Xiaoyi Luan, Liru Chen, Peng Liu, Hongyuan Cui, Mingwei Zhu","doi":"10.1186/s12944-026-02947-w","DOIUrl":"10.1186/s12944-026-02947-w","url":null,"abstract":"<p><p>BACKGROUND: Complications significantly impact the prognosis and healthcare burden of hospitalized patients, making early identification of high-risk individuals crucial. While nutritional and metabolic status are influencing factors, existing tools struggle to provide an integrated assessment. The Triglyceride-Cholesterol-Body weight Index (TCBI) is a novel indicator that concurrently reflects both nutritional and metabolic status, yet its value in predicting in-hospital complications remains unclear. METHODS: This observational study leveraged large-scale, multicenter real-world data, enrolling 8,288 eligible hospitalized patients. Demographic information, anthropometric measurements, laboratory results, and clinical outcomes were collected. Due to its skewed distribution, TCBI was analyzed using its natural logarithm-transformed value (TCBI-LN) and categorized into quartiles (Q1-Q4). The primary outcome was the occurrence of complications during hospitalization. Univariate analysis was used to compare inter-group differences. Multivariate logistic regression models were employed to analyze the independent association between TCBI-LN and complication risk. Restricted cubic splines were applied to explore the dose-response relationship. The robustness and generalizability of the association were assessed through subgroup analyses and interaction tests. We further compared five nested logistic regression models incorporating TCBI, its individual components, and existing indices (PNI and TyG) using AUC, NRI, IDI, AIC, and BIC, and performed causal mediation analysis to examine whether complications mediated the associations of TCBI with length of stay (LOS) and hospital cost. RESULTS: Complications occurred in 403 patients (4.9%). Patients with complications had significantly lower TCBI-LN levels compared to those without (6.83 ± 0.71 vs. 7.10 ± 0.83, P < 0.001). Multivariate logistic regression analysis revealed that a higher TCBI-LN remained independently associated with a lower risk of complications even after adjusting for multiple potential confounders, including age, sex, body mass index, disease type, comorbidities, and related prognostic factors (adjusted OR = 0.707, 95% CI: 0.553–0.930, P = 0.012). Restricted cubic spline analysis suggested a linear inverse correlation between TCBI-LN and complication risk. Subgroup analyses indicated that the protective association of TCBI-LN was statistically significant in males, patients aged < 65 years, those with a body mass index < 18.5 or ≥ 24 kg/m², and malnourished patients. No significant interactions were observed across all subgroups (P for interaction > 0.05). A risk stratification cutoff was determined based on the Youden index. The complication rate was significantly higher in the high-risk group (6.3%) compared to the intermediate- (5.1%) and low-risk groups (2.9%). In model comparison, adding TCBI-LN to a clinical model significantly improved AUC, NRI and IDI, and the model combini","PeriodicalId":18073,"journal":{"name":"Lipids in Health and Disease","volume":" ","pages":""},"PeriodicalIF":6.9,"publicationDate":"2026-04-09","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://www.ncbi.nlm.nih.gov/pmc/articles/PMC13188760/pdf/","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"147645714","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":"Significant correlations between blood lipids, cytokines, and C-reactive protein in healthy humans.","authors":"Anders Larsson, Lars B Eriksson, Mats Eriksson","doi":"10.1186/s12944-026-02939-w","DOIUrl":"10.1186/s12944-026-02939-w","url":null,"abstract":"<p><strong>Background: </strong>Chronic low-grade inflammation plays a central role in cardiometabolic disease, yet the associations between lipid metabolism and inflammatory biomarkers in generally healthy individuals remain incompletely understood. This study aimed to investigate the relationship between blood lipids, high-sensitivity C-reactive protein (hsCRP), and a broad panel of inflammatory cytokines in a healthy adult population.</p><p><strong>Methods: </strong>A total of 165 healthy participants aged 18-44 years were recruited at the Falun County Hospital, Sweden. Blood samples were analyzed for a full lipid profile, blood counts, cytokines, and hsCRP. Plasma inflammatory protein levels were quantified using the Olink Proseek Multiplex Inflammation panel, including 92 cytokines. Statistical analysis included Spearman rank correlations and multiple testing correction using the Benjamini-Hochberg false discovery rate (FDR < 0.10).</p><p><strong>Results: </strong>hsCRP showed significant correlations with several lipid parameters, particularly remnants, triglycerides, apolipoprotein B (ApoB), and non-HDL cholesterol, as well as with BMI and specific leukocyte counts. Additionally, hsCRP was significantly associated with multiple cytokines, including IL-6, TNF, IL-10, and CXCL10, highlighting a complex pro- and anti-inflammatory milieu.</p><p><strong>Conclusions: </strong>This study demonstrates correlations between hsCRP, lipid-related biomarkers, and inflammatory cytokines in healthy adults, underscoring the interplay between lipid metabolism and subclinical inflammation. The significant correlations between hsCRP and remnants, ApoB, and cytokines such as IL-6 support the role of these factors as early indicators of cardiometabolic risk, even in the absence of overt disease.</p>","PeriodicalId":18073,"journal":{"name":"Lipids in Health and Disease","volume":" ","pages":""},"PeriodicalIF":6.9,"publicationDate":"2026-04-09","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://www.ncbi.nlm.nih.gov/pmc/articles/PMC13078040/pdf/","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"147639365","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":"Mechanistic insights and ameliorative strategies: advances in DEHP-induced metabolic toxicity and intervention by natural bioactive compounds and probiotics.","authors":"Huanyu Cui, Yansong Hu, Ye Tang, Tingzhuang Yi, Shengkui Tan, Zhengbao Zhang, Xiaonian Zhu","doi":"10.1186/s12944-026-02942-1","DOIUrl":"10.1186/s12944-026-02942-1","url":null,"abstract":"<p><p>Di-(2-ethylhexyl) phthalate (DEHP) is a ubiquitous plasticizer and environmental contaminant linked to severe metabolic disorders. This review concisely elucidates the multi-organ mechanisms of DEHP-induced toxicity, highlighting its disruption of lipid, glucose, and protein homeostasis. Specifically, we delineate the crucial crosstalk between oxidative stress, endoplasmic reticulum (ER) stress, and inflammatory pathways that drive DEHP pathobiology. Furthermore, we systematically evaluate emerging ameliorative strategies, focusing on natural bioactive compounds and probiotics. We highlight how these interventions mitigate DEHP toxicity by targeting specific molecular hubs (e.g., PPARs, Nrf2) and restoring gut microbiota balance. By integrating mechanistic insights with natural interventions, this review provides a targeted framework for developing therapeutic countermeasures against phthalate-induced metabolic disruption.</p>","PeriodicalId":18073,"journal":{"name":"Lipids in Health and Disease","volume":" ","pages":""},"PeriodicalIF":6.9,"publicationDate":"2026-04-06","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://www.ncbi.nlm.nih.gov/pmc/articles/PMC13188463/pdf/","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"147628095","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":"Therapeutic inertia and lipid-lowering treatment modification after acute coronary syndrome: a longitudinal real-world study using a lagged decision-outcome design.","authors":"Qiyue Wang, Hua Fang, Wanting Cui, Gaofeng Zhang","doi":"10.1186/s12944-026-02943-0","DOIUrl":"10.1186/s12944-026-02943-0","url":null,"abstract":"<p><p>BACKGROUND: Intensive low-density lipoprotein cholesterol (LDL-C) lowering after acute coronary syndrome (ACS) is recommended to reduce cardiovascular risk, but real-world attainment of LDL-C targets remains suboptimal. Therapeutic inertia and varying lipid-lowering strategies may contribute to this gap, but their longitudinal impact is not well characterized. METHODS: In this retrospective longitudinal study, ACS patients with repeated follow-up visits (6–54 months) were evaluated. Lipid-lowering treatment strategies were categorized as no change/discontinuation, combination therapy, dose up-titration, or switching/intensification. A lagged decision–outcome design linked treatment strategies at Visit Tn to LDL-C target attainment at Tn+1. Generalized estimating equations and mixed-effects logistic regression models were used to assess associations with subsequent LDL-C target attainment using the 2016 guideline (< 1.8 mmol/L). For sensitivity analyses, the 2023 guideline was applied (< 1.4 mmol/L). RESULTS: A total of 1,731 ACS patients were included, with follow-up visits at 6–54 months. Combination therapy was the most frequently used strategy, followed by dose up-titration and switching/intensification. Notably, 10–15% of visits had no treatment adjustment. Treatment modification was significantly associated with improved LDL-C target attainment. Combination therapy showed the strongest effect (OR 0.25, 95% CI: 0.21–0.30), followed by dose up-titration (OR 0.48, 95% CI: 0.40–0.58) and switching/intensification (OR 0.71, 95% CI: 0.59–0.86). Therapeutic inertia was linked to more than double the risk of persistent LDL-C non-attainment (OR 2.46, 95% CI: 2.09–2.90). CONCLUSIONS: In ACS patients, lipid-lowering treatment modification, particularly combination therapy, was associated with improved LDL-C target attainment, whereas therapeutic inertia was detrimental. Proactive treatment adjustment is crucial for improving secondary prevention in real-world practice. </p>","PeriodicalId":18073,"journal":{"name":"Lipids in Health and Disease","volume":" ","pages":""},"PeriodicalIF":6.9,"publicationDate":"2026-04-06","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://www.ncbi.nlm.nih.gov/pmc/articles/PMC13188563/pdf/","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"147628023","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}
Alpo Vuorio, Anniina Ojanen, Tarja Palosaari, Tuija Jääskeläinen, Pekka Jousilahti, Maija Ruuth, Terhi Vihervaara, Mari Savolainen, Lara Lehtoranta, Petri T Kovanen, Annamari Lundqvist
{"title":"Lipoprotein(a) levels in Finnish adults: distribution and associations with other cardiovascular risk factors and their awareness and control.","authors":"Alpo Vuorio, Anniina Ojanen, Tarja Palosaari, Tuija Jääskeläinen, Pekka Jousilahti, Maija Ruuth, Terhi Vihervaara, Mari Savolainen, Lara Lehtoranta, Petri T Kovanen, Annamari Lundqvist","doi":"10.1186/s12944-026-02938-x","DOIUrl":"10.1186/s12944-026-02938-x","url":null,"abstract":"<p><strong>Background: </strong>Elevated lipoprotein(a) [Lp(a)] is an important genetic risk factor for cardiovascular diseases (CVDs). Because Lp(a)-lowering therapies are limited, prevention focuses on identifying individuals with elevated Lp(a) and optimizing other modifiable risk factors. We aimed to assess the distribution of Lp(a) levels in Finnish adults and examine its association with other CVD risk factors, as well as the awareness, treatment, and control of dyslipidemia.</p><p><strong>Methods: </strong>Data were derived from the Healthy Finland health examination survey conducted in 2023, comprising a nationally representative sample of 5,484 adults. Lp(a) levels were categorized using a cut-point at 125 nmol/L. Other CVD risk factors included were dyslipidemia, abnormal glucose metabolism, hypertension, and obesity. Analyses were weighted taking into account the sampling design and non-participation to provide nationally representative results.</p><p><strong>Results: </strong>Mean Lp(a) levels were 41.7 nmol/L (95% CI 39.0-44.3) in men (M) and 41.9 nmol/L (39.7-44.1) in women (W). Elevated Lp(a) was observed in 11.0% of men and 10.4% of women. Dyslipidemia was more prevalent among individuals with elevated Lp(a) (M: 88.1% vs. 78.4% p = 0.003, W: 79.2% vs. 73.2% p = 0.030) but this association reversed after correcting cholesterol for Lp(a). No associations were found between Lp(a) and other cardiometabolic risk factors. Individuals with elevated Lp(a) had slightly lower unawareness (M: 42.3% vs. 47.5%, p = 0.180, W: 38.8% vs.48.4%, p = 0.042) and better treatment (M: 38.1% vs. 31.7%, p = 0.010, W: 29.2% vs. 24.7%, p = 0.090) of dyslipidemia than those with lower levels while no association was found between Lp(a) and dyslipidemia control (M: 81.4% vs. 84.1%, p = 0.520, W: 74.6% vs. 73.0%, p = 0.740).</p><p><strong>Conclusions: </strong>Approximately one in ten Finnish adults had elevated Lp(a), a lower prevalence than in many other European populations but still affecting a substantial share of the population. Elevated Lp(a) was associated with higher prevalence of dyslipidemia prior to Lp(a) correction, but not with other CVD risk factors, and these individuals also showed slightly greater awareness and treatment of dyslipidemia. These findings emphasize the need for comprehensive management of modifiable CVD risk factors to reduce the overall burden of CVDs.</p>","PeriodicalId":18073,"journal":{"name":"Lipids in Health and Disease","volume":" ","pages":""},"PeriodicalIF":6.9,"publicationDate":"2026-04-02","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://www.ncbi.nlm.nih.gov/pmc/articles/PMC13170023/pdf/","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"147593191","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":"Prognostic value of the atherogenic index of plasma in patients with multivessel coronary disease undergoing CABG: a retrospective cohort study.","authors":"Yang He, Yue-Jiao Yang, Hao Chen, Xin-Qun Hu, Zhen-Fei Fang, Xiao-Bo Liao, Hui Yang, Zhao-Wei Zhu, Liang Tang","doi":"10.1186/s12944-026-02895-5","DOIUrl":"10.1186/s12944-026-02895-5","url":null,"abstract":"<p><p>BACKGROUND: The Atherogenic Index of Plasma (AIP), a composite lipid index based on triglycerides (TG) and HDL-C, has been linked to cardiovascular risk. However, the prognostic relevance of AIP after coronary artery bypass grafting (CABG) in patients with multivessel coronary disease (MVD) is not well established. Therefore, we examined whether AIP predicts long-term outcomes in our cohort. METHODS: Consecutive patients with MVD undergoing CABG (2015–2020) were included. The baseline and 1-year AIP were used to define tertiles. Major adverse cardiovascular and cerebrovascular events (MACCEs) were evaluated across AIP groups using Kaplan–Meier methods and Cox regression with multivariable adjustment. Restricted cubic splines (RCS) were used to assess potential non-linear (dose–response) relationships between AIP and MACCEs. RESULTS: In total, 1,602 patients were analysed, and 414 MACCEs occurred during a median follow-up of 43 months. Kaplan–Meier curves showed that group 3 had a significantly lower survival rate than those in the other two groups (P = 0.022). In adjusted Cox models, with group 1 as the reference, the hazard ratios were 1.11 (95% CI 0.86–1.43; P = 0.42) for group 2 and 1.38 (95% CI 1.07–1.78; P = 0.012) for group 3. However, when the AIP at 1 year postoperatively was used as the primary indicator, the differences between groups were no longer statistically significant. Additionally, RCS models suggested a linear correlation between the AIP and MACCE. Incorporation of AIP into traditional models showed a small incremental gain. CONCLUSION: Preoperative AIP remained an independent predictor of adverse long-term outcomes after CABG among patients with MVD. Optimising AIP through proactive lipid management may help reduce the residual cardiovascular risk and improve long-term prognoses. </p>","PeriodicalId":18073,"journal":{"name":"Lipids in Health and Disease","volume":" ","pages":""},"PeriodicalIF":6.9,"publicationDate":"2026-03-31","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://www.ncbi.nlm.nih.gov/pmc/articles/PMC13159184/pdf/","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"147581084","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}