Literature DB >> 25314652

Low "quotient" Lp(a) concentration mediates autoimmune activation and independently predicts cardiometabolic risk.

A Onat1, N Çoban2, G Can3, M Yüksel4, A Karagöz5, H Yüksel1, E Ademoğlu6, N Erginel-Ünaltuna2.   

Abstract

OBJECTIVE: We determined whether U-shaped relationships exist between serum lipoprotein[Lp](a) and cardiometabolic risk.
METHODS: In population-based nondiabetic and diabetic middle-aged adults (n=1 428 and 241, respectively) who had been genotyped for the LPA rs10455872 A>G polymorphism, we adjusted the Lp(a) concentration for the effects of genotype and other covariates. Via sex-specific equations we estimated expected Lp(a) concentration in each participant, and the quotient between observed to expected Lp(a) values was determined. Lp(a) and Lp(a) quotient tertiles served to identify non-linear associations with outcomes.
RESULTS: Incident 81 cases of diabetes and 128 of coronary heart disease (CHD) developed at 5.1 years' follow-up. Lp(a) concentration was linearly associated with the LPA genotype, gender, total cholesterol, (inversely) fasting insulin, which together with age formed the variables to derive the equations. In logistic regression for incident diabetes, the low Lp(a) quotient tertile was a predictor (RR 1.95 [95%CI 1.10; 3.47]) alike the low Lp(a) tertile, additively to major confounders. Cox regression models comprising sex, age, LPA genotype, smoking status, systolic pressure and serum HDL-cholesterol disclosed that, compared with the mid-tertile, both low (HR 1.77) and high Lp(a) quotient tertiles significantly predicted incident CHD, especially in women.
CONCLUSION: Elevated cardiometabolic risk is conferred by apparently reduced circulating Lp(a) assays supporting the notion that "low" serum Lp(a), mediating autoimmune activation, is a major determinant of cardiometabolic risk. © Georg Thieme Verlag KG Stuttgart · New York.

Entities:  

Mesh:

Substances:

Year:  2014        PMID: 25314652     DOI: 10.1055/s-0034-1385922

Source DB:  PubMed          Journal:  Exp Clin Endocrinol Diabetes        ISSN: 0947-7349            Impact factor:   2.949


  10 in total

1.  Fatty liver disease: Disparate predictive ability for cardiometabolic risk and all-cause mortality.

Authors:  Altan Onat; Günay Can; Ayşem Kaya; Tuğba Akbaş; Fatma Özpamuk-Karadeniz; Barış Şimşek; Hakan Çakır; Hüsniye Yüksel
Journal:  World J Gastroenterol       Date:  2015-12-28       Impact factor: 5.742

2.  Association between elevated serum alanine aminotransferase and cardiometabolic risk factors in rural Chinese population: a cross-sectional study.

Authors:  Shuang Chen; Xiaofan Guo; Xingang Zhang; Shasha Yu; Hongmei Yang; Mohan Jiang; Guozhe Sun; Yingxian Sun
Journal:  BMC Cardiovasc Disord       Date:  2015-07-10       Impact factor: 2.298

3.  Effectiveness of a standard secondary coronary prevention program: not obligate.

Authors:  Altan Onat
Journal:  Anatol J Cardiol       Date:  2016-02       Impact factor: 1.596

4.  Lipoprotein(a) and incident type-2 diabetes: results from the prospective Bruneck study and a meta-analysis of published literature.

Authors:  Ellie Paige; Katya L Masconi; Sotirios Tsimikas; Florian Kronenberg; Peter Santer; Siegfried Weger; Johann Willeit; Stefan Kiechl; Peter Willeit
Journal:  Cardiovasc Diabetol       Date:  2017-03-21       Impact factor: 9.951

5.  Low acylation stimulating protein levels are associated with cardiometabolic disorders-secondary to autoimmune activation?

Authors:  Altan Onat; Servet Altay; Murat Yüksel; Yusuf Karadeniz; Günay Can; Hüsniye Yüksel; Evin Ademoğlu
Journal:  Anatol J Cardiol       Date:  2016-09-02       Impact factor: 1.596

6.  Fasting glycemia and glycated hemoglobin categories: Relationship to serum lipoprotein(a) level and disparity in 2 geographic regional groups of Turkey.

Authors:  Altan Onat; Yusuf Karadeniz; Günay Can; Süleyman Karakoyun; Fatma Özpamuk-Karadeniz; Ayşem Kaya; Hüsniye Yüksel
Journal:  Anatol J Cardiol       Date:  2016-11-10       Impact factor: 1.596

7.  Predicting Cardiovascular Outcomes by Baseline Lipoprotein(a) Concentrations: A Large Cohort and Long-Term Follow-up Study on Real-World Patients Receiving Percutaneous Coronary Intervention.

Authors:  Hui-Hui Liu; Ye-Xuan Cao; Jing-Lu Jin; Hui-Wen Zhang; Qi Hua; Yan-Fang Li; Yuan-Lin Guo; Cheng-Gang Zhu; Na-Qiong Wu; Rui-Xia Xu; Xie-Hui Chen; Jian-Jun Li
Journal:  J Am Heart Assoc       Date:  2020-01-30       Impact factor: 5.501

8.  Metabolic predictors of impaired glucose tolerance and type 2 diabetes in a predisposed population--A prospective cohort study.

Authors:  Josefin Henninger; Ann Hammarstedt; Araz Rawshani; Björn Eliasson
Journal:  BMC Endocr Disord       Date:  2015-09-25       Impact factor: 2.763

9.  Change in Serum Bilirubin Level as a Predictor of Incident Metabolic Syndrome.

Authors:  You-Bin Lee; Seung-Eun Lee; Ji Eun Jun; Jae Hwan Jee; Ji Cheol Bae; Sang-Man Jin; Jae Hyeon Kim
Journal:  PLoS One       Date:  2016-12-09       Impact factor: 3.240

10.  Autoimmune activation as a determinant of atrial fibrillation among Turks: A prospective evaluation.

Authors:  Barış Şimşek; Servet Altay; Nazmiye Özbilgin; Altan Onat
Journal:  Medicine (Baltimore)       Date:  2018-08       Impact factor: 1.817

  10 in total

北京卡尤迪生物科技股份有限公司 © 2022-2023.