17 research outputs found
von Willebrand factor and early diabetic retinopathy: no evidence for a relationship in patients with Type 1 (insulin-dependent) diabetes mellitus and normal urinary albumin excretion
High plasma levels of von Willebrand factor, an indicator of endothelial cell dysfunction, have been reported in both diabetic retinopathy and nephropathy. It is unclear, however, whether von Willebrand factor is related to diabetic retinopathy in the absence of diabetic nephropathy. The relationship between retinal status and plasma von Willebrand factor concentration was investigated in a cohort of 17 patients with Type 1 (insulin-dependent) diabetes mellitus who were followed-up for a median of 42 months. The patients were examined three times. They were selected for having had normal urinary albumin excretion and no evidence of retinopathy (on fundoscopy) at the first and second examination. They were then divided into two groups, according to absence (Group A;n=9) or presence (Group B;n=8) of retinopathy on fundoscopy or fluorescein angiography at the third examination. Urinary albumin excretion remained normal in all patients. Plasma von Willebrand factor levels were similar in both groups: (median) 128 vs 123 %, 164 vs 132% and 159 vs 130 % (first, second and third examination, respectively). Median changes in plasma von Willebrand factor were also similar: +7 vs +9 % and +5 vs +1 % (first-second and second-third examination). Patients in whom the plasma von Willebrand factor concentration increased had higher systolic blood pressure at the third examination (150±30 vs 130±12 mmHg,p=0.02) when compared to those in whom plasma von Willebrand factor did not increase, but were of similar age and had similar diabetes duration, retinal status, diastolic blood pressure, glycated haemoglobin and serum cholesterol concentration. These data do not support the hypothesis that increases in plasma von Willebrand factor concentration reflect retinal endothelial injury in Type 1 diabetic patients with normal urinary albumin excretion. In these patients, high or increasing plasma von Willebrand factor levels may be related to systolic blood pressure
Markers of inflammation and cellular adhesion molecules in relation to insulin resistance in nondiabetic elderly: the Rotterdam study
Insulin resistance, which is highly prevalent in the elderly, is suggested
to be accompanied by an increased acute phase response. Until now, it is
unclear whether cellular adhesion molecules are involved in the clustering
of insulin resistance. In the present study, we examined the relationship
of insulin resistance (measured by postload insulin) with levels of
markers of inflammation and cellular adhesion molecules in a random sample
of 574 nondiabetic elderly men and women participating in the Rotterdam
Study. Associations were assessed by regression analysis, with ln-insulin
as the dependent variable [regression coefficient (95% confidence
interval)]. In our population, insulin was strongly and significantly (P <
0.001) associated with the markers of inflammation C-reactive protein
[1.52 (0.96-2.08)], alpha-1-antichymotrypsin [1.25 (0.82-1.69)], and IL-6
[2.60 (1.69-3.52)], adjusted for age and gender. Associations weakened, to
some extent, after additional adjustment for measures of obesity, smoking,
and cardiovascular disease. Insulin was associated with the soluble
intercellular adhesion molecule 1 [2.22 (1.29-3.16; P < 0.001)], whereas
no association with the soluble vascular cell adhesion molecule 1 was
found. The strength of the associations of insulin with C-reactive
protein, alpha-1-antichymotrypsin, IL-6, and soluble intercellular
adhesion molecule 1, as assessed by standardized regression coefficients,
was comparable with the strength of the associations of insulin with
high-density lipoprotein cholesterol, body mass index, and waist-to-hip
ratio. The results of this population-based study indicate that low-grade
inflammation and the cellular adhesion molecule soluble intercellular
adhesion molecule 1 are an integral part of insulin resistance in
nondiabetic elderly. These factors may contribute to the well-known
relationship between insulin resistance and cardiovascular disease risk
and might potentially become therapeutic targets in insulin resistant
subjects
Associations of C-reactive protein with measures of obesity, insulin resistance, and subclinical atherosclerosis in healthy, middle-aged women
Obesity, the insulin resistance syndrome, and atherosclerosis are closely
linked and may all be determinants of an increased acute-phase response.
In this study, we examined the relationship of C-reactive protein (CRP)
with measures of obesity, variables of the insulin resistance syndrome,
and intima-media thickness of the common carotid arteries in 186 healthy,
middle-aged women selected from the general population. Associations were
assessed by regression analysis. CRP was strongly associated with body
mass index (BMI) and waist circumference. CRP was also associated with
other variables of the insulin resistance syndrome, including blood
pressure, insulin, high density lipoprotein cholesterol, triglycerides,
apolipoprotein A1 (inversely), plasminogen activator inhibitor-1 antigen,
and tissue-type plasminogen activator antigen. Associations between CRP
and the variables of the insulin resistance syndrome disappeared after
controlling for BMI but remained significant for plasminogen activator
inhibitor-1 antigen only. The association of CRP with common carotid
artery intima-media thickness was weak and limited to ever-smokers. BMI
explained 29.7% of the variance of CRP, whereas common carotid artery
intima-media thickness explained only 3.7%. The results of this
population-based study indicate that adiposity is strongly associated with
CRP in healthy, middle-aged women. In this population, BMI accounted for
the relationship between CRP and other variables of the insulin resistance
syndrome. Further studies should determine whether losing weight
ameliorates the inflammatory state
High prevalence of impaired awareness of hypoglycemia and severe hypoglycemia among people with insulin-treated type 2 diabetes: The Dutch Diabetes Pearl Cohort
Objective People with type 2 diabetes on insulin are at risk for hypoglycemia. Recurrent hypoglycemia can cause impaired awareness of hypoglycemia (IAH), and increase the risk for severe hypoglycemia. The aim of this study was to assess the prevalence and determinants of self-reported IAH and severe hypoglycemia in a Dutch nationwide cohort of people with insulin-treated type 2 diabetes. Research design and methods Observational study of The Dutch Diabetes Pearl, a cohort of people with type 2 diabetes treated in primary, secondary and tertiary diabetes care centers. The presence of IAH and the occurrence of severe hypoglycemia in the past year, defined as an event requiring external help to re
Plasma Metabolomics Identifies Markers of Impaired Renal Function: A Meta-analysis of 3089 Persons with Type 2 Diabetes
CONTEXT: There is a need for novel biomarkers and better understanding of the pathophysiology of diabetic kidney disease. OBJECTIVE: To investigate associations between plasma metabolites and kidney function in people with type 2 diabetes (T2D). DESIGN: 3089 samples from individuals with T2D, collected between 1999 and 2015, from 5 independent Dutch cohort studies were included. Up to 7 years follow-up was available in 1100 individuals from 2 of the cohorts. MAIN OUTCOME MEASURES: Plasma metabolites (n = 149) were measured by nuclear magnetic resonance spectroscopy. Associations between metabolites and estimated glomerular filtration rate (eGFR), urinary albumin-to-creatinine ratio (UACR), and eGFR slopes were investigated in each study followed by random effect meta-analysis. Adjustments included traditional cardiovascular risk factors and correction for multiple testing. RESULTS: In total, 125 metabolites were significantly associated (PFDR = 1.5×10-32 - 0.046; β = -11.98-2.17) with eGFR. Inverse associations with eGFR were demonstrated for branched-chain and aromatic amino acids (AAAs), glycoprotein acetyls, triglycerides (TGs), lipids in very low-density lipoproteins (VLDL) subclasses, and fatty acids (PFDR < 0.03). We observed positive associations with cholesterol and phospholipids in high-density lipoproteins (HDL) and apolipoprotein A1 (PFDR < 0.05). Albeit some metabolites were associated with UACR levels (P < 0.05), significance was lost after correction for multiple testing. Tyrosine and HDL-related metabolites were positively associated with eGFR slopes before adjustment for multiple testing (PTyr = 0.003; PHDLrelated < 0.05), but not after. CONCLUSIONS: This study identified metabolites associated with impaired kidney function in T2D, implying involvement of lipid and amino acid metabolism in the pathogenesis. Whether these processes precede or are consequences of renal impairment needs further investigation
Blood lipids influence DNA methylation in circulating cells
Background: Cells can be primed by external stimuli to obtain a long-term epigenetic memory. We hypothesize that long-term exposure to elevated blood lipids can prime circulating immune cells through changes in DNA methylation, a process that may contribute to the development of atherosclerosis. To interrogate the causal relationship between triglyceride, low-density lipoprotein (LDL) cholesterol, and high-density lipoprotein (HDL) cholesterol levels and genome-wide DNA methylation while excluding confounding and pleiotropy, we perform a stepwise Mendelian randomization analysis in whole blood of 3296 individuals. Results: This analysis shows that differential methylation is the consequence of inter-individual variation in blood lipid levels and not vice versa. Specifically, we observe an effect of triglycerides on DNA methylation at three CpGs, of LDL cholesterol at one CpG, and of HDL cholesterol at two CpGs using multivariable Mendelian randomization. Using RNA-seq data available for a large subset of individuals (N = 2044), DNA methylation of these six CpGs is associated with the expression of CPT1A and SREBF1 (for triglycerides), DHCR24 (for LDL cholesterol) and
Controlling bias and inflation in epigenome- and transcriptome-wide association studies using the empirical null distribution
We show that epigenome- and transcriptome-wide association studies (EWAS and TWAS) are prone to significant inflation and bias of test statistics, an unrecognized phenomenon introducing spurious findings if left unaddressed. Neither GWAS-based methodology nor state-of-the-art confounder adjustment methods completely remove bias and inflation. We propose a Bayesian method to control bias and inflation in EWAS and TWAS based on estimation of the empirical null distribution. Using simulations and real data, we demonstrate that our method maximizes power while properly controlling the false positive rate. We illustrate the utility of our method in large-scale EWAS and TWAS meta-analyses of age and smoking
Large-scale plasma metabolome analysis reveals alterations in HDL metabolism in migraine
Objective To identify a plasma metabolomic biomarker signature for migraine.
Methods Plasma samples from 8 Dutch cohorts (n = 10,153: 2,800 migraine patients and 7,353 controls) were profiled on a 1H-NMR-based metabolomics platform, to quantify 146 individual metabolites (e.g., lipids, fatty acids, and lipoproteins) and 79 metabolite ratios. Metabolite measures associated with migraine were obtained after single-metabolite logistic regression combined with a random-effects meta-analysis performed in a nonstratified and sex-stratified manner. Next, a global test analysis was performed to identify sets of related metabolites associated with migraine. The Holm procedure was applied to control the family-wise error rate at 5% in single-metabolite and global test analyses.
Results Decreases in the level of apolipoprotein A1 (β −0.10; 95% confidence interval [CI] −0.16, −0.05; adjusted p = 0.029) and free cholesterol to total lipid ratio present in small high-density lipoprotein subspecies (HDL) (β −0.10; 95% CI −0.15, −0.05; adjusted p = 0.029) were associated with migraine status. In addition, only in male participants, a decreased level of omega-3 fatty acids (β −0.24; 95% CI −0.36, −0.12; adjusted p = 0.033) was associated with migraine. Global test analysis further supported that HDL traits (but not other lipoproteins) were associated with migr
Heritability estimates for 361 blood metabolites across 40 genome-wide association studies
Metabolomics examines the small molecules involved in cellular metabolism. Approximately 50% of total phenotypic differences in metabolite levels is due to genetic variance, but heritability estimates differ across metabolite classes. We perform a review of all genome-wide association and (exome-) sequencing studies published between November 2008 and October 2018, and identify >800 class-specific metabolite loci associated with metabolite levels. In a twin-family cohort (N = 5117), these metabolite loci are leveraged to simultaneously estimate total heritability (h2 total), and the proportion of heritability captured by known metabolite loci (h2 Metabolite-hits) for 309 lipids and