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To compare apolipoprotein B (apoB), non-high-density lipoprotein-cholesterol (non-HDL-c) and low-density lipoprotein-cholesterol (LDL-c) for identifying individuals with a deteriorated cardiovascular (CV) risk profile, including a panel of subclinical atherosclerosis measurements and prevalent cardiovascular disease (CVD) in a Dutch population-based cohort.Clinical and biochemical measurements and a panel of noninvasive parameters of subclinical atherosclerosis were determined in 1517 individuals, aged 50-70 years.Both men and women with increasing levels of apoB and non-HDL-c were more obese, had higher blood pressure and fasting glucose levels, and a more atherogenic lipid profile. Furthermore, compared to the reference group (composed of those with apoB, non-HDL-c and LDL-c levels in the bottom quartiles), participants with high apoB and high non-HDL-c levels had a lower ankle-brachial index at rest (-3.5% and -3.1%, respectively) and after exercise (-6.3% and -4.7%, respectively), a thicker near wall (+4.8% and +4.2%, respectively), far wall (both +6.2%), and mean intima-media thickness (+5.7% and +5.3%, respectively) and more plaques (+54.2% and +54.3%, respectively). In addition, they also showed increased stiffness parameters (e.g. pulse wave velocity both +3.6%). Less clear differences in CV risk profile and subclinical atherosclerosis parameters were observed when participants were stratified by LDL-c level. Furthermore, apoB but not LDL-c detected prevalent CVD, and non-HDL-c only detected prevalent CVD in men. The discriminatory power for prevalent CVD expressed as area under the receiver operating characteristic curve was 0.60 (P0.001) for apoB, 0.57 (P = 0.001) for non-HDL-c and 0.54 (P = 0.108) for LDL-c.Our data support the use of first apoB and secondly non-HDL-c above LDL-c for identifying individuals from the general population with a compromised CV phenotype.

Waist circumference is a clinical marker of obesity and an established risk factor for cardiovascular (CV) disease. Adiponectin, an adipocyte-derived hormone and new biomarker of obesity, was recently proposed as the missing link between obesity and increased cardiovascular risk. We evaluated waist and adiponectin in a middle-aged population-based cohort to compare the impact of both obesity-markers on subclinical atherosclerosis, in relation to other CV risk factors. DESIGN, SETTINGSUBJECTS: Seven noninvasive measurements of atherosclerosis (NIMA), as surrogate markers of (subclinical) atherosclerosis, were determined in 1517 participants of the Nijmegen Biomedical Study, aged 50-70 years, who were drawn from the Dutch community.Both men and women with a high waist (M104 cm; F95 cm) showed increased pulse wave velocity (PWV) (M: +9.4%; F: +8.3%) and thicker intima-media thickness (IMT) (M: +7.3%; F: +4.3%) and women also showed increased plaque thickness (+16.6%). After adjustment for other CV risk factors both men and women showed increased IMT (M: +4.8%; F: +2.8%) and men also showed increased PWV (+9.6%). Both men and women with a low adiponectin level (M2.2 mg L(-1); F3.5 mg L(-1)) showed a decreased ankle-brachial index after exercise (M: -9.5%; F: -3.9%) and increased IMT (M: +3.7%; F: +3.6%) and women also showed increased PWV (+6.8%), but after adjustment for other CV risk factors low adiponectin level was no longer associated with deteriorated outcomes of NIMA.Waist circumference showed independent associations with noninvasive measurements of subclinical atherosclerosis, whereas the association of adiponectin level with subclinical atherosclerosis was not independent of other CV risk factors. Prospective studies are needed to elucidate, if the atherogenic effect of a low adiponectin level is mediated by other CV risk factors and not by low adiponectin level intrinsically.

Family screening has been suggested as a sophisticated model for the early detection of HFE-related hereditary haemochromatosis (HH). However, until now, controlled studies on the morbidity and mortality in families with HH are lacking.Data on iron parameters, morbidity and mortality were collected from 224 dutch C282Y-homozygous probands with clinically overt HH and 735 of their first-degree family members, all participating in the HEmochromatosis fAmily study (HEfAs). These data were compared with results obtained from an age- and gender-matched normal population. HEfAs and controls filled in similar questionnaires on demographics, lifestyle factors, health, morbidity and mortality.A significantly higher proportion of the HEfAs first-degree family members reported to be diagnosed with haemochromatosis-related diseases: 45.7 vs 19.4% of the matched normal population (McNemar p0.001). Mortality among siblings, children and parents in the HEFAS population was similar to that in the relatives of matched control.In this study we show that, morbidity among first-degree family members of C282Y-homozygous probands previously diagnosed with clinically proven HH is higher than that in an age- and gender-matched normal population. Further studies are needed to definitely connect these increase morbidity figures to increase prevalenc of the C282Y mutated HFE-gene and elevated serum iron indices.

In 1998 a clinical guideline for the targeted, accurate and early detection and treatment of HFE-related hereditary haemochromatosis (HH), which comprises a test for the causative HFE-gene mutations, was introduced in our outpatient department.The impact of this guideline was evaluated retrospectively. Data were acquired from medical records of patients with discharge diagnosis codes suggestive of HH (n=878 patients), obtained from a period before (n=422) and after guideline introduction (n=456).Combined measurements of serum transferrin saturation and serum ferritin rose from 12.2% (n=53) to 29.5% (n=138, p0.001), leaving 70% of the patients eligible for HH not tested for iron parameters. The HFE-gene mutation detection test was correctly used in II (40.7%) of 27 tested patients and improperly interpreted in six (22.2%) of these 27 patients. Five new HH patients were diagnosed before and 13 after introduction. Seven of these 13 patients appeared to be incorrectly diagnosed, due to misinterpretation of laboratory results. Diagnostic costs of case detection for each accurately diagnosed patient were euro 2380 before and euro 2600 after introduction of the guideline.Evaluation of the introduction of a practical guideline for targeted HH detection reveals a low compliance with the guideline, resulting in both a small percentage of patients tested for HH and overdiagnosis of HH. Therefore, the introduction of the guideline should be combined with a more appropriate implementation strategy which includes education on its most critical points, i.e. the indication and interpretation of the iron parameters and the HFE genotype.

In a 49-year-old man and a 28-year-old woman, both of whom complained of fatigue, HFE-gen related respectively non-HFE-gen related primary haemochromatosis was diagnosed, based on the elevated serum transferrin saturation, the elevated serum ferritin levels, DNA studies and liver biopsy with qualitative respectively quantitative iron measurements. Their complaints diminished after bloodletting. Three women respectively 64, 61 and 46 years of age, were also suspected of primary haemochromatosis. The latter two presented with complaints of fatigue and malaise and chronic hepatitis C respectively. All three showed an elevated serum transferrin saturation and serum ferritin concentration. Further investigation showed the presence of secundary iron overload. Causes for it being excessive alcohol consumption, overweight and a poorly regulated diabetes mellitus type 2, and chronic hepatitis C respectively. These patients received specific therapy. Primary haemochromatosis is a common disorder of iron metabolism in individuals of Northern European descent. Diagnosis is based on an elevated serum transferrin saturation in combination with both elevated serum ferritin levels and homozygosity for the Cys282Tyr-mutation in the HFE-gen. The presence of an elevated serum transferrin saturation in combination with an elevated serum ferritin level is not always sufficient for the diagnosis, since these may be affected by other disorders. Moreover, iron overload may be caused by a form of haemochromatosis that is not HFE-related. In case of doubt as to the diagnosis, histological examination of the liver with a qualitative or quantitative iron determination is the golden standard.

To determine whether patients previously diagnosed as chronic fatigue syndrome (CFS) actually have primary haemochomatosis (PH).The setting was a Dutch referral centre. Transferrin saturation (TS) was retrospectively evaluated in banked blood samples of 88 patients diagnosed as CFS. Patients with elevated TS values were asked to provide a new overnight fasting blood sample for a second determination of TS and measurement of serum ferritin. The DNA was investigated for mutations in the HFE gene when one of these iron parameters was elevated.For 19 out of 88 patients with CFS an elevated TS was found. A new blood sample was obtained from 11 of these 19: six had increased TS and two had elevated serum ferritin values. These eight patients were neither C282Y homozygotes nor compound C282Y-H63D heterozygotes. In the eight cases where no new blood samples could be obtained, the TS was50% for two of the five men and45% for the three female patients.In a group of 88 CFS patients we could exclude PH in all but two of them (prevalence 2.3%; 95% confidence interval 0-5.5%). In our population of CFS patients PH is not more common than in a control population of northern European descent (prevalence 0.25-0.50%).

Single-spin density-gradient ultracentrifugation (DUC) has proven to be a reproducible method for detection of low-density-lipoprotein (LDL) heterogeneity. Recently another method has been described for this: gradient gel electrophoresis (GGE) of serum, a method that might be more suitable for screening. To gain insight into the relationship of GGE to DUC and into their reproducibility, we determined LDL heterogeneity by DUC and GGE in 41 healthy individuals. In 90.2% (n = 37) of the subjects, the number of LDL subfractions found by both methods agreed. In addition, the density and the relative migration distance of the predominant LDL subfraction observed with the respective methods showed a strong correlation (Pearson correlation, r = 0.85, P less than 0.0001). Although it was not possible to compare for all aspects of LDL heterogeneity, these data suggest that GGE is a valid method of analysis for LDL heterogeneity. In screening programs, it may be necessary to store samples. Therefore, we studied in 24 sera the influence of storage at -80 degrees C for one, four, and 12 weeks on the LDL subfraction distribution detected by each method. LDL heterogeneity was maintained during storage under these conditions.

A single spin density gradient ultracentrifugation method in a swinging bucket rotor has been applied for the detection and isolation of low density lipoprotein (LDL) subfractions. The visualization of the LDL heterogeneity was facilitated by prestaining the serum with Coomassie Brilliant Blue R prior to density gradient ultracentrifugation for 19.5 hr. A total of 13 human serum pools was analyzed. In each pool, two LDL subfractions, a lighter LDL1 subfraction, occasionally showing a subdivision into two bands, LDL1A and LDL1B, and a heavier LDL2 could be clearly distinguished by the banding pattern in the density gradient. Physicochemical characteristics of the isolated LDL subfractions were determined. The simple method for detection and isolation of these subfractions presented here may facilitate future studies on LDL heterogeneity.