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2.
Nat Immunol ; 21(1): 30-41, 2020 01.
Article in English | MEDLINE | ID: mdl-31819254

ABSTRACT

NLRP3-inflammasome-driven inflammation is involved in the pathogenesis of a variety of diseases. Identification of endogenous inflammasome activators is essential for the development of new anti-inflammatory treatment strategies. Here, we identified that apolipoprotein C3 (ApoC3) activates the NLRP3 inflammasome in human monocytes by inducing an alternative NLRP3 inflammasome via caspase-8 and dimerization of Toll-like receptors 2 and 4. Alternative inflammasome activation in human monocytes is mediated by the Toll-like receptor adapter protein SCIMP. This triggers Lyn/Syk-dependent calcium entry and the production of reactive oxygen species, leading to activation of caspase-8. In humanized mouse models, ApoC3 activated human monocytes in vivo to impede endothelial regeneration and promote kidney injury in an NLRP3- and caspase-8-dependent manner. These data provide new insights into the regulation of the NLRP3 inflammasome and the pathophysiological role of triglyceride-rich lipoproteins containing ApoC3. Targeting ApoC3 might prevent organ damage and provide an anti-inflammatory treatment for vascular and kidney diseases.


Subject(s)
Acute Kidney Injury/immunology , Apolipoprotein C-III/immunology , Caspase 8/metabolism , Kidney Diseases/immunology , Monocytes/immunology , NLR Family, Pyrin Domain-Containing 3 Protein/immunology , Acute Kidney Injury/pathology , Adaptor Proteins, Signal Transducing , Animals , Apolipoprotein C-III/genetics , Cell Line , Disease Models, Animal , HEK293 Cells , Humans , Inflammasomes/immunology , Inflammation/genetics , Inflammation/immunology , Kidney Diseases/pathology , Membrane Proteins , Mice , Mice, Inbred C57BL , Mice, Inbred NOD , Mice, Knockout , Reactive Oxygen Species/metabolism , Toll-Like Receptor 2/metabolism , Toll-Like Receptor 4/metabolism
3.
Lancet Diabetes Endocrinol ; 5(7): 534-543, 2017 07.
Article in English | MEDLINE | ID: mdl-28566218

ABSTRACT

BACKGROUND: Lipoprotein(a) concentrations in plasma are associated with cardiovascular risk in the general population. Whether lipoprotein(a) concentrations or LPA genetic variants predict long-term mortality in patients with established coronary heart disease remains less clear. METHODS: We obtained data from 3313 patients with established coronary heart disease in the Ludwigshafen Risk and Cardiovascular Health (LURIC) study. We tested associations of tertiles of lipoprotein(a) concentration in plasma and two LPA single-nucleotide polymorphisms ([SNPs] rs10455872 and rs3798220) with all-cause mortality and cardiovascular mortality by Cox regression analysis and with severity of disease by generalised linear modelling, with and without adjustment for age, sex, diabetes diagnosis, systolic blood pressure, BMI, smoking status, estimated glomerular filtration rate, LDL-cholesterol concentration, and use of lipid-lowering therapy. Results for plasma lipoprotein(a) concentrations were validated in five independent studies involving 10 195 patients with established coronary heart disease. Results for genetic associations were replicated through large-scale collaborative analysis in the GENIUS-CHD consortium, comprising 106 353 patients with established coronary heart disease and 19 332 deaths in 22 studies or cohorts. FINDINGS: The median follow-up was 9·9 years. Increased severity of coronary heart disease was associated with lipoprotein(a) concentrations in plasma in the highest tertile (adjusted hazard radio [HR] 1·44, 95% CI 1·14-1·83) and the presence of either LPA SNP (1·88, 1·40-2·53). No associations were found in LURIC with all-cause mortality (highest tertile of lipoprotein(a) concentration in plasma 0·95, 0·81-1·11 and either LPA SNP 1·10, 0·92-1·31) or cardiovascular mortality (0·99, 0·81-1·2 and 1·13, 0·90-1·40, respectively) or in the validation studies. INTERPRETATION: In patients with prevalent coronary heart disease, lipoprotein(a) concentrations and genetic variants showed no associations with mortality. We conclude that these variables are not useful risk factors to measure to predict progression to death after coronary heart disease is established. FUNDING: Seventh Framework Programme for Research and Technical Development (AtheroRemo and RiskyCAD), INTERREG IV Oberrhein Programme, Deutsche Nierenstiftung, Else-Kroener Fresenius Foundation, Deutsche Stiftung für Herzforschung, Deutsche Forschungsgemeinschaft, Saarland University, German Federal Ministry of Education and Research, Willy Robert Pitzer Foundation, and Waldburg-Zeil Clinics Isny.


Subject(s)
Biomarkers/blood , Coronary Disease/mortality , Genetic Association Studies , Lipoprotein(a)/blood , Lipoprotein(a)/genetics , Polymorphism, Single Nucleotide , Cohort Studies , Coronary Disease/blood , Coronary Disease/epidemiology , Coronary Disease/genetics , Europe/epidemiology , Female , Humans , Male , Middle Aged , Prognosis , Risk Factors , Survival Rate
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