Statin-induced autoimmune myositis: a proposal of an "experience-based" diagnostic algorithm from the analysis of 69 patients.

Statin-induced autoimmune myositis (SIAM) represents a rare clinical entity that can be triggered by prolonged statin treatment. Its pathogenetic substrate consists of an autoimmune-mediated mechanism, evidenced by the detection of antibodies directed against the 3-hydroxy-3-methylglutaryl-coenzyme A reductase (anti-HMGCR Ab), the target enzyme of statin therapies. To facilitate the diagnosis of nuanced SIAM clinical cases, the present study proposes an "experience-based" diagnostic algorithm for SIAM. We have analyzed the clinical data of 69 patients diagnosed with SIAM. Sixty-seven patients have been collected from the 55 available and complete case records regarding SIAM in the literature; the other 2 patients represent our direct clinical experience and their case records have been detailed. From the analysis of the clinical features of 69 patients, we have constructed the diagnostic algorithm, which starts from the recognition of suggestive symptoms of SIAM. Further steps provide for CK values dosage, musculoskeletal MR, EMG/ENG of upper-lower limbs and, Anti-HMGCR Ab testing and, where possible, the muscle biopsy. A global evaluation of the collected clinical features may suggest a more severe disease in female patients. Atorvastatin proved to be the most used hypolipidemic therapy.

Association of uric acid with kidney function and albuminuria: the Uric Acid Right for heArt Health (URRAH) Project.

BACKGROUND: Hyperuricemia is commonly observed in patients with chronic kidney disease (CKD). However, a better understanding of the relationship among uric acid (UA) values, glomerular filtration rate (GFR) and albuminuria may shed light on the mechanisms underlying the excess of cardiovascular mortality associated with both chronic kidney disease and hyperuricemia and lead to better risk stratification. Our main goal was to study the relationships between serum uric acid and kidney disease measures (namely estimated GFR [eGFR] and albuminuria) in a large cohort of individuals at cardiovascular risk from the URic acid Right for heArt Health (URRAH) Project database. METHODS: Clinical data of 26,971 individuals were analyzed. Factors associated with the presence of hyperuricemia defined on the basis of previously determined URRAH cutoffs for cardiovascular and all-cause mortality were evaluated through multivariate analysis. Chronic kidney disease was defined as eGFR < 60 ml/min per 1.73 m2 and/or abnormal urinary albumin excretion diagnosed as: (i) microalbuminuria if urinary albumin concentration was > 30 and ≤ 300 mg/L, or if urinary albumin-to-creatinine ratio (ACR) was > 3.4 mg/mmol and ≤ 34 mg/mmol; (ii) macroalbuminuria if urinary albumin concentration was > 300 mg/L, or if ACR was > 34 mg/mmol. RESULTS: Mean age was 58 ± 15 years (51% males, 62% with hypertension and 12% with diabetes), mean eGFR was 81 ml/min per 1.73m22with a prevalence of eGFR < 60 and micro- or macroalbuminuria of 16, 15 and 4%, respectively. Serum uric acid showed a trend towards higher values along with decreasing renal function. Both the prevalence of gout and the frequency of allopurinol use increased significantly with the reduction of eGFR and the increase in albuminuria. Hyperuricemia was independently related to male gender, eGFR strata, and signs of insulin resistance such as body mass index (BMI) and triglycerides. CONCLUSIONS: The lower the eGFR the higher the prevalence of hyperuricemia and gout. In subjects with eGFR < 60 ml/min the occurrence of hyperuricemia is about 10 times higher than in those with eGFR > 90 ml/min. The percentage of individuals treated with allopurinol was below 2% when GFR was above 60 ml/min, it increased to 20% in the presence of CKD 3b and rose further to 35% in individuals with macroalbuminuria.

Interleukin 6 plasma levels predict with high sensitivity and specificity coronary stenosis detected by coronary angiography.

In recent years new biomarkers able to measure the coronary atherosclerotic burden have been investigated. The aim of the present study was: i) to measure plasma levels of four biomarkers: C reactive protein (CRP), soluble intercellular adhesion molecule-1 (sICAM-1), interleukin 6 (IL-6), 8-isosprostane (8-ISO), in a series of patients undergoing coronary angiography; ii) to assess the power of the biomarkers to predict critical coronary stenosis detected by angiography. The study population consisted of a group of 438 subjects undergoing coronary angiography; 160 patients with 0, 1, 2, or 3 critical vessels were selected, and biomarkers plasma levels were measured in plasma samples obtained before the procedure. The most predictive biomarker was then assayed in 120 patients with critical stenosis and 120 unmatched patients without stenosis. CRP, sICAM-1, IL-6 and 8-ISO plasma levels increased with the number of diseased vessels. All biomarkers were good predictors of critical stenosis (receiver-operator-curve [ROC] areas; CRP = 0.880, IL-6 = 0.936, sICAM-1 = 0.907, 8-ISO = 0.873). IL-6 was confirmed in an expanded sample of 240 subjects to be the best predictor with a ROC area = 0.959. With a threshold of 3.6 ng/l, a 100% sensitivity (120/120) and a 90% specificity (108/120) was observed. In conclusion, IL-6, sICAM-1, CRP and 8-ISO are predictive of CAD. IL-6 predicts critical coronary stenosis with the highest sensitivity and specificity.

Low-density lipoproteins generated during an oral fat load in mild hypertriglyceridemic and healthy subjects are smaller, denser, and have an increased low-density lipoprotein receptor binding affinity.

Triglyceride-rich lipoproteins generated during the postprandial phase are atherogenic. Large very low-density lipoproteins (LDLs) or chylomicrons (CMs) are not as atherogenic as their remnants (Rem). Small and dense LDLs are associated with cardiovascular disease. Low-density lipoprotein size is partly under genetic control and is considered as a relatively stable LDL feature. In this article, we present data on retinyl palmitate kinetics correlated with the modification of LDL features in terms of size, density, and in vitro receptor binding affinity after an oral fat load. Six nondiabetic, hypertriglyceridemic (HTG) patients and 6 healthy controls were examined. Low-density lipoprotein size was assessed by gradient gel electrophoresis, and LDL density by density gradient ultracentrifugation. Low-density lipoprotein binding affinity was tested by in vitro competition binding assay on normal human skin fibroblasts (HSFs) and hepatoma cells (HepG2). Kinetic parameters were estimated in CM and Rem fractions by compartmental modeling. Hypertriglyceridemic patients showed significantly higher triglyceride area and a slower CM fractional catabolic rate. Postprandial LDL density increased both in HTG patients and in the control group with a significant difference between groups at 6 hours. Fasting LDL size was lower in HTG patients vs controls but decreased similarly in the postprandial phase. Low-density lipoprotein size and density postprandial modifications were not correlated with any investigated parameter. Postprandial LDLs were internalized more efficiently by HSF than baseline LDL only in the HTG group. In conclusion, postprandial LDLs are smaller and denser compared with fasting LDLs after an oral fat load. Postprandial LDLs also slightly increased their affinity to the HSF cell receptors.

Cystatin C levels are decreased in acute myocardial infarction: effect of cystatin C G73A gene polymorphism on plasma levels.

BACKGROUND: Cystatin C is the most abundant protease inhibitor in the plasma. Low plasma levels have been found in patients with aortic aneurysms and they seem correlated with the extension of the aortic lesions in early aneurysms detected by ultrasonography. METHODS: In this study, plasma levels of cystatin C have been investigated in patients with acute myocardial infarction (AMI), unstable angina and controls. The effect on plasma levels of the G73A polymorphism of the CST3 gene has been also evaluated. RESULTS: Patients with acute myocardial infarction showed significantly lower levels of cystatin C compared to unstable angina and controls, but levels were nearly normal in a week after the acute event. The genotype distribution of the G73A polymorphism was not different among the groups. Nevertheless, cystatin C levels decreased proportionally with the number of A alleles. Cystatin C levels were positively correlated with age, triglyceride/HDL cholesterol ratio and creatinine, and negatively with HDL cholesterol and the number of A alleles. All variables, but not HDL cholesterol, were independently correlated in a multivariate analysis. CONCLUSIONS: Cystatin C is decreased in acute myocardial infarction. It is still not clear whether lower cystatin C levels are causally linked to the acute event or just represent a negative acute phase response. The CST3 gene G73A polymorphism functionally affects cystatin C plasma levels.