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Sclerostin inhibition is a new therapeutic approach for increasing bone mineral density (BMD) but its cardiovascular safety is unclear. We conducted a genome-wide association study (GWAS) meta-analysis of circulating sclerostin in 33,961 Europeans followed by Mendelian randomization (MR) to estimate the causal effects of sclerostin on 15 atherosclerosis-related diseases and risk factors. GWAS meta-analysis identified 18 variants independently associated with sclerostin, which including a novel cis signal in the SOST region and three trans signals in B4GALNT3, RIN3 and SERPINA1 regions that were associated with opposite effects on circulating sclerostin and eBMD. MR combining these four SNPs suggested lower sclerostin increased hypertension risk (odds ratio [OR]=1.09, 95%CI=1.04 to 1.15), whereas bi-directional analyses revealed little evidence for an effect of genetic liability to hypertension on sclerostin levels. MR restricted to cis (SOST) SNPs additionally suggested sclerostin inhibition increased risk of type 2 diabetes (T2DM) (OR=1.26; 95%CI=1.08 to 1.48) and myocardial infarction (MI) (OR=1.31, 95% CI=1.183 to 1.45). Furthermore, these analyses suggested sclerostin inhibition increased coronary artery calcification (CAC) (β=0.74, 95%CI=0.33 to 1.15), levels of apoB (β=0.07; 95%CI=0.04 to 0.10; this result was driven by rs4793023) and triglycerides (β=0.18; 95%CI=0.13 to 0.24), and reduced HDL-C (β=-0.14; 95%CI=-0.17 to -0.10). This study provides genetic evidence to support a causal effect of sclerostin inhibition on increased hypertension risk. Cis-only analyses suggested that sclerostin inhibition additionally increases the risk of T2DM, MI, CAC, and an atherogenic lipid profile. Together, our findings reinforce the requirement for strategies to mitigate against adverse effects of sclerostin inhibitors like romosozumab on atherosclerosis and its related risk factors.

BackgroundGuidelines for the prevention of cardiovascular disease (CVD) have recommended the assessment of the total CVD risk by risk scores. Current risk algorithms are low in sensitivity and specificity and they have not incorporated emerging risk markers for CVD. We suggest that CVD risk assessment can be still improved. We have developed a long-term risk prediction model of cardiovascular mortality in patients with stable coronary artery disease (CAD) based on newly available machine learning and on an extended dataset of new biomarkers.Methods2953 participants of the Ludwigshafen Risk and Cardiovascular Health (LURIC) study were included. 184 laboratory and 21 demographic markers were ranked according to their contribution to risk of cardiovascular (CV) mortality using different data mining approaches. A self-learning bioinformatics workflow, including seven different machine learning algorithms, was developed for CV risk prediction. The study population was stratified into patients with and without significant CAD. Thereby, significant CAD was defined as a lumen narrowing of 50 % or more in at least one of the coronary segments or a history of definite myocardial infarction. The machine learning models in both subpopulations were compared with established CV risk assessment tools.ResultsAfter a follow-up of 10 years, 603 (20.4%) patients died of cardiovascular causes. 95 (%) patients without CAD deceased within ten years and 247 (13.2 %) patients with CAD within 5 years. Overall and in patients without CAD, NT-proBNP (N-terminal pro B-type natriuretic peptide), TnT (Troponin T), estimated cystatin c based GFR (glomerular filtration rate) and age were the highest ranked predictors, while in patients with CAD, NT-proBNP, GFR, CT-proAVP (C-terminal pro arginine vasopressin) and TNT were highest predictive. In the comparison with the FRS, PROCAM and ESC risk scores, the machine learning workflow produced more accurate and robust CV mortality prediction in patients without CAD. Equivalent CV risk prediction was obtained in the CAD subpopulation in comparison with the Marschner risk score. Overall, the existing algorithms in general tend to assign more patients into the medium risk groups, while the machine learning algorithms tend to have a clearer risk/no risk assignment. The framework is available upon request.ConclusionWe have developed a fully automated and self-validating computational framework of machine learning techniques using an extensive database of clinical, routinely and non-routinely measured laboratory data. Our framework predicts long-term CV mortality at least as accurate as existing CVD risk scores. A combination of four highly ranked biomarkers and the random forest approach showed the best predictive results. Moreover, a dynamic computational model has several advantages over static CVD risk prediction tools: it is freeware, transparent, variable, transferable and expandable to any population, types of events and time frames.

Romosozumab is a newly available treatment for osteoporosis acting by sclerostin inhibition. Its cardiovascular safety has been questioned after finding excess cardiovascular disease (CVD)-related events in a pivotal phase 3 trial. Previous studies of relationships between circulating sclerostin levels and CVD and associated risk factors have yielded conflicting findings, likely reflecting small numbers and selected patient groups. We aimed to characterize relationships between sclerostin and CVD and related risk factors in more detail by examining these in two large cohorts, Ludwigshafen Risk and Cardiovascular Health study (LURIC; 34% female, mean age 63.0 years) and Avon Longitudinal Study of Parents and Children study (ALSPAC) mothers (mean age 48.1 years). Together these provided 5069 participants with complete data. Relationships between sclerostin and CVD risk factors were meta-analyzed, adjusted for age, sex (LURIC), body mass index, smoking, social deprivation, and ethnicity (ALSPAC). Higher sclerostin levels were associated with higher risk of diabetes mellitus (DM) (odds ratio [OR] = 1.25; 95% confidence interval [CI] 1.12, 1.37), risk of elevated fasting glucose (OR 1.15; CI 1.04, 1.26), and triglyceride levels (β 0.03; CI 0.00, 0.06). Conversely, higher sclerostin was associated with lower estimated glomerular filtration rate (eGFR) (β -0.20; CI -0.38, -0.02), HDL cholesterol (β -0.05; CI -0.10, -0.01), and apolipoprotein A-I (β -0.05; CI -0.08, -0.02) (difference in mean SD per SD increase in sclerostin, with 95% CI). In LURIC, higher sclerostin was associated with an increased risk of death from cardiac disease during follow-up (hazard ratio [HR] = 1.13; 1.03, 1.23) and with severity of coronary artery disease on angiogram as reflected by Friesinger score (0.05; 0.01, 0.09). Associations with cardiac mortality and coronary artery severity were partially attenuated after adjustment for risk factors potentially related to sclerostin, namely LDL and HDL cholesterol, log triglycerides, DM, hypertension, eGFR, and apolipoprotein A-I. Contrary to trial evidence suggesting sclerostin inhibition leads to an increased risk of CVD, sclerostin levels appear to be positively associated with coronary artery disease severity and mortality, partly explained by a relationship between higher sclerostin levels and major CVD risk factors. © 2021 The Authors. Journal of Bone and Mineral Research published by Wiley Periodicals LLC on behalf of American Society for Bone and Mineral Research (ASBMR).

The protein α-Klotho acts as transmembrane co-receptor for fibroblast growth factor 23 (FGF23) and is a key regulator of phosphate homeostasis. However, α-Klotho also exists in a circulating form, with pleiotropic, but incompletely understood functions and regulation. Therefore, we undertook a genome-wide association study (GWAS) meta-analysis followed by Mendelian randomization (MR) of circulating α-Klotho levels. Plasma α-Klotho levels were measured by enzyme-linked immunosorbent assay (ELISA) in the Ludwigshafen Risk and Cardiovascular Health and Avon Longitudinal Study of Parents and Children (mothers) cohorts, followed by a GWAS meta-analysis in 4376 individuals across the two cohorts. Six signals at five loci were associated with circulating α-Klotho levels at genome-wide significance (P 9% of the variation in circulating α-Klotho levels. MR analyses revealed no causal relationships between α-Klotho and renal function, FGF23-dependent factors such as vitamin D and phosphate levels, or bone mineral density. The screening for genetic correlations with other phenotypes followed by targeted MR suggested causal effects of liability of Crohn’s disease risk [Inverse variance weighted (IVW) beta = 0.059 (95% confidence interval 0.026, 0.093)] and low-density lipoprotein cholesterol levels [−0.198 (−0.332, −0.063)] on α-Klotho. Our GWAS findings suggest that two enzymes involved in post-translational modification, B4GALNT3 and CHST9, contribute to genetic influences on α-Klotho levels, presumably by affecting protein turnover and stability. Subsequent evidence from MR analyses on α-Klotho levels suggest regulation by mechanisms besides phosphate-homeostasis and raise the possibility of cross-talk with FGF19- and FGF21-dependent pathways, respectively. Significance statement: α-Klotho as a transmembrane protein is well investigated along the endocrine FGF23-α-Klotho pathway. However, the role of the circulating form of α-Klotho, which is generated by cleavage of transmembrane α-Klotho, remains incompletely understood. Genetic analyses might help to elucidate novel regulatory and functional mechanisms. The identification of genetic factors related to circulating α-Klotho further enables MR to examine causal relationships with other factors. The findings from the first GWAS meta-analysis of circulating α-Klotho levels identified six genome-wide significant signals across five genes. Given the function of two of the genes identified, B4GALNT3 and CHST9, it is tempting to speculate that post-translational modification significantly contributes to genetic influences on α-Klotho levels, presumably by affecting protein turnover and stability.

An amendment to this paper has been published and can be accessed via a link at the top of the paper.

Background: Thrombophilia in children is characterized by hypercoagulability and increased frequency of thrombotic events (Young G, et al. Circulation. 2008;118:1373-1378; Kenet G, et al. Circulation. 2010;121:1838-1847). Recently, phase IIb/III clinical trials in children with venous thromboembolism (VTE) have reported the non-inferiority of dabigatran etexilate (DE) versus standard of care (SOC) for the treatment of acute VTE (Albisetti M, et al. ISTH 2019, Abstract OC 57.3), and a favorable safety profile for DE in secondary VTE prevention in children with persistent VTE risk factor(s) (Brandão LR, et al. Blood. 2020;135:491-504). Aims: To perform a subgroup analysis evaluating the efficacy and safety of DE for the treatment and secondary prophylaxis of VTE in children with thrombophilia in the phase IIb/III DE clinical trials. Methods: In the open-label, phase IIb/III DIVERSITY trial (NCT01895777), children aged from birth to < 18 years (yrs) with an objectively confirmed VTE diagnosis (by imaging studies) initially treated with unfractionated heparin or low-molecular-weight heparin were randomized (2:1) to receive up to 3 months of DE or SOC. Primary composite efficacy endpoint: complete thrombus resolution and freedom from VTE recurrence, or VTE-related death. Safety endpoints included bleeding events (BEs). The open-label, phase III, secondary VTE prevention trial (NCT02197416) treated children aged from > 3 months to < 18 yrs with DE for up to 12 months or less, if the identified VTE clinical risk factor resolved. Eligible children had an objectively confirmed diagnosis of VTE treated with SOC for ≥ 3 months, or had completed DE or SOC treatment in DIVERSITY and had an unresolved clinical VTE risk factor requiring further anticoagulation. Primary endpoints included VTE recurrence and BEs. Thrombophilia status was confirmed according to the definitions used by the local experts. Results: In DIVERSITY, 23.2% of children had thrombophilia; demographics were comparable to the overall population, although they were slightly older (mean [standard deviation] age 13.2 [4.9] vs 11.1 [6.1] years in the overall population; p = 0.005). In children with thrombophilia, DE was found to be non-inferior to SOC for the primary endpoint (similar to the overall population), and more children treated with DE achieved the composite primary endpoint than with SOC (SOC 21.7% vs DE 35.9%; Mantel-Hänszel-weighted difference in rates for SOC minus DE [90% CI] −0.14 [−0.32 to 0.05]; p for non-inferiority = 0.0014), similar to the overall population (Table). Regardless of treatment, VTE recurrence appeared higher in children with thrombophilia than in the overall population, with numerically fewer VTE recurrences reported by children with thrombophilia treated with DE (7.7%) versus SOC (21.7%), although this was not significantly lower (p = 0.13). Numerical differences in residual thrombotic burden between SOC vs DE seen in the overall population appeared to be amplified in children with thrombophilia. Numerically fewer children with thrombophilia treated with DE reported thrombus progression (SOC 13.0% vs DE 5.1%) or stabilization (21.7% vs 10.3%), while more reported partial (34.8% vs 43.6%) or complete thrombus resolution (21.7% vs 35.9%). In the thrombophilia subgroup, BEs appeared to be lower in children treated with DE (SOC 26.1% vs DE 17.9%), while in the overall population BEs with SOC and DE were comparable. In the secondary VTE prevention trial, children with thrombophilia were also slightly older versus the overall population (mean [standard deviation] age 14.1 [3.6] vs 12.8 [4.6] yrs; p = 0.006). In this larger subgroup of children, rates of recurrent VTE at 12 months appeared to be higher in the thrombophilia group (2.8%) compared to the overall population (1.4%) (Table), with BEs largely comparable (27.4% and 22.5%, respectively). Conclusions: Unsurprisingly, numerically more children with thrombophilia appeared to report VTE recurrence, and in DIVERSITY thrombus progression/stabilization also seemed higher compared with the overall population. Compared with the overall populations, these subgroup analyses showed consistent results for DE in children with acute VTE and thrombophilia in the DIVERSITY trial, along with a favorable safety profile of DE for secondary VTE prevention. Disclosures Brandao: Boehringer Ingelheim: Other: Member of a paediatric expert working group. Tartakovsky:Boehringer Ingelheim: Current Employment. Albisetti:Boehringer Ingelheim: Other: Member of a paediatric expert working group; Daiichi Sankyo: Membership on an entity's Board of Directors or advisory committees. Bomgaars:Boehringer Ingelheim: Other: Member of a paediatric expert working group. Chalmers:CSL Behring: Honoraria; Shire/Takeda: Honoraria; Boehringer Ingelheim: Other: Member of a paediatric expert working group; Grifols: Honoraria; Roche: Honoraria; Sobi: Honoraria; Bristol-Myers Squibb: Honoraria. Mitchell:Boehringer Ingelheim: Other: Member of a paediatric expert working group. Luciani:Boehringer Ingelheim: Other: Member of a paediatric expert working group. Lvova:Boehringer Ingelheim: Honoraria. Simetzberger:Boehringer Ingelheim: Current Employment. Sun:Boehringer Ingelheim: Current Employment. Gergei:Boehringer Ingelheim: Current Employment. Brueckmann:Boehringer Ingelheim: Current Employment. Halton:Boehringer Ingelheim: Other: Member of a paediatric expert working group. OffLabel Disclosure: dabigatran etexilate in paediatric VTE

BACKGROUND The association of platelet and monocyte activity markers with long-term mortality was assessed in hemodialysis (HD) patients. METHODS In 41 HD patients (25 male, 16 female), surface expression of CD40L and CD62P on platelets, tissue factor (TF) binding on monocytes, and platelet-monocyte aggregates were measured by flow cytometry. Plasma levels of MCP-1, IL-6, TNFα, and soluble CD40L were analyzed by enzyme linked immunosorbent assay. Cox proportional hazard regression analyses and Kaplan-Meier curve were calculated. The predefined endpoint was all-cause mortality. RESULTS The study follow-up was 11.54 years. Thirty-one patients (75.6%) died within the study period. Mean patient survival after study inclusion was 5.45 +/- 4.24 years. TF on monocytes above the median of the study population was significantly and independently associated with total mortality (HR (95% CI) 3.45 (1.32 - 9.07); p = 0.01). Cumulative mortality in patients with TF on monocytes above median was significantly higher compared to pa-tients with TF on monocytes below median value (log rank p < 0.01). Platelet-monocyte aggregates, the expression of CD40L and CD62P on platelets, and plasma levels of sCD40L, IL-6, MCP-1, and TNFα were not significantly correlated with mortality. CONCLUSIONS The present study confirms a high mortality in ESRD patients. TF binding on monocytes was significantly correlated with increased mortality and may identify a subgroup of patients at higher risk.

Background and aims The CD40−CD40 Ligand (CD40L) system has an important role in vascular inflammation. For this reason, we assessed the association of soluble CD40L with cardiovascular and all-cause mortality in the Ludwigshafen Risk and Cardiovascular Health (LURIC) study. Methods Plasma levels of sCD40L were determined in 2759 persons using an enzyme immunoassay. Cox proportional hazard regressions were performed to evaluate the association between plasma concentration of sCD40 ligand and short-term (12 months) and long-term (10 years) mortality. Subpopulation analyses were conducted in seven different risk groups. Cox regression models were adjusted for traditional risk factors. Results The present study did not reveal significant association between sCD40L plasma levels and all-cause mortality, as well as cardiovascular mortality at one-year follow-up. In selected subgroups only, significant association between elevated sCD40L plasma levels and short-term all-cause and cardiovascular mortality could be observed. With regard to long-term all-cause and cardiovascular mortality analyses, no significant correlation with increased plasma levels of sCD40L could be detected, neither overall nor in any subgroup. Conclusions Soluble sCD40L is not associated with cardiovascular and all-cause mortality in this large cohort. Only in selected patient subgroups elevated levels of sCD40L correlate with short-term mortality but this correlation disappears in long-term analysis.

The continuing growth of the population with end-stage renal disease (ESRD) in the past two decades has been recognized as a global health burden. In 2002, a definition of chronic kidney disease (CKD) was introduced and different categories of CKD have been reported in the general population. In this study, we examined the prevalence of CKD in primary health care in Germany. From 2004 to 2007 the prevalence of CKD was estimated in the Diabetes Cardiovascular Risk-Evaluation Targets and Essential Data for Commitment of Treatment (DETECT) study using the Simplified Modification of Diet in Renal Disease (MDRD) and the CKD Epidemiology Collaboration (CKD-EPI) equations. A sample of 4,080 subjects were analysed with detailed laboratory and comorbidity assessment from 851 primary care centres across Germany. The prevalence of CKD (≤60 ml/min/1.73 m2) was 27.9 % estimated by CKD-EPI equation (MDRD eGFR 36.1 %) and the prevalence of CKD increased with age and during follow-up. The overall decline in eGFR per year was −1.83 ml/min/year (CKD-EPI). Women have shown a higher decline in eGFR than men. The prevalence of CKD was highest in coronary artery disease patients, followed by diabetes mellitus and arterial hypertension. Individuals with diabetes mellitus have shown the highest progress developing CKD. In this representative sample of patients seeking medical advice in primary care, the prevalence of impaired kidney function was almost one third. Given the therapeutic implications, our results call for focused measures to increase the awareness of CKD in primary care.

Context: The endothelin system (Big-ET-1) is a key regulator in cardiovascular (CV) disease and congestive heart failure (CHF). Objectives: We have examined the incremental value of Big-ET-1 in predicting total and CV mortality next to the well-established CV risk marker N-Terminal Pro-B-Type Natriuretic Peptide (NT-proBNP). Methods: Big-ET-1 and NT-proBNP were determined in 2829 participants referred for coronary angiography (follow-up 9.9 years). Results: Big-ET-1 is an independent predictor of total, CV mortality and death due to CHF. Discussion: The conjunct use of Big-ET-1 and NT-proBNP improves the risk stratification of patients with intermediate to high risk of CV death and CHF. Conclusions: Big-ET-1improves risk stratification in patients referred for coronary angiography.

In bone, sclerostin is mainly osteocyte-derived and plays an important local role in adaptive responses to mechanical loading. Whether circulating levels of sclerostin also play a functional role is currently unclear, which we aimed to examine by two sample Mendelian Randomisation (MR). A genetic instrument for circulating sclerostin, derived from a genome wide association study (GWAS) meta-analysis of serum sclerostin in 10,584 European-descent individuals, was examined in relation to femoral neck bone mineral density (BMD; n= 32,744) in GEFOS, and estimated BMD by heel ultrasound (eBMD; n=426,824), and fracture risk (n=426,795), in UK Biobank. Our GWAS identified two novel serum sclerostin loci, B4GALNT3 (standard deviation (SD)) change in sclerostin per A allele (β=0.20, P=4.6×10−49), and GALNT1 (β=0.11 per G allele, P=4.4×10−11). B4GALNT3 is an N-acetyl-galactosaminyltransferase, adding a terminal LacdiNAc disaccharide to target glycocoproteins, found to be predominantly expressed in kidney, whereas GALNT1 is an enzyme causing mucin-type O-linked glycosylation. Using these two SNPs as genetic instruments, MR revealed an inverse causal relationship between serum sclerostin and femoral neck BMD (β= −0.12, 95%CI= −0.20 to −0.05) and eBMD (β= −0.12, 95%CI= −0.14 to −0.10), and a positive relationship with fracture risk (β= 0.11, 95%CI= 0.01 to 0.21). Colocalization analysis demonstrated common genetic signals within the B4GALNT3 locus for higher sclerostin, lower eBMD, and greater B4GALNT3 expression in arterial tissue (Probability>99%). Our findings suggest that higher sclerostin levels are causally related to lower BMD and greater fracture risk. Hence, strategies for reducing circulating sclerostin, for example by targeting glycosylation enzymes as suggested by our GWAS results, may prove valuable in treating osteoporosis.

Renal dysfunction may limit the clinical application of NT-proBNP in the diagnosis of heart failure. In general practice, where echocardiography is not readily available, a biomarker for the diagnosis of a heart failure with preserved ejection fraction (HFpEF) would be useful. Since cardiac diseases frequently coincide with renal disease, there is a high need of valid risk stratification methods in patients affected with both. We therefore examined NT-proBNP and another biomarker, Big-Endothelin-1, as a marker of HFpEF in patients with CKD. NT-proBNP and Big-ET-1 were determined in 439 patients with HFpEF in the Ludwigshafen Risk and Cardiovascular Health (LURIC) study. NT-proBNP plasma level has shown an exponential increase with declining GFR, while Big-ET-1 plasma level increased only in a moderate and linear fashion. In patients without CKD, a NT-proBNP cut-off point at 250 pg/mL was suitable for the discrimination between HFpEF and patients without HF. When the GFR was less than 60 mL/min/1.73m2, the NT-proBNP cut-off point should be raised to 750 pg/mL. At a cutoff point at 0.85 fmol/L, Big-ET-1 allowed to distinguish patients with HFpEF from persons without HF, independently of GFR. In general, NT-proBNP is a good indicator of suspected heart failure. While for NT-proBNP different cut-off points have to be considered in the diagnosis of HFpEF, a single cut-off point of Big-ET-1 was appropriate in the diagnosis of HFpEF, regardless of the presence or absence of CKD. An additional measurement of Big-ET-1 improves the diagnosis of HFpEF in patients with chronic kidney disease.

Background and aims Familial hypercholesterolemia (FH) is an inherited disorder of lipoprotein metabolism characterised by impaired removal of low-density lipoproteins (LDL) from the circulation, which leads to an increased risk of cardiovascular disease (CVD). This risk can be significantly lowered by early diagnosis and treatment. In Germany, reliable estimates of the prevalence of FH are lacking. We therefore examined the prevalence rate of FH in Germany in a primary care based cohort. Method We utilized records of 4722 participants in the DETECT study, in whom complete data on blood lipids and medical history were available. Prevalence rates were assessed using the Dutch Lipid Clinics Network (DLCN) and the US-MEDPED criteria. We stratified for gender and age. Group differences were analyzed using Chi2 and ANOVA tests. Results Using the DLCN (probable or definite FH) and the US.MEDPED criteria yielded prevalence rates of 1:278 and 1:295, respectively. The established diagnostic scores used in this analysis identify different patients. In women below 50 years of age, the LDL-C concentration is lower than in men, leading to the possibility of under-diagnosing FH in this group because women under the age of 50 are less likely to reach a higher DLCN-Score. Conclusions FH has a higher than expected prevalence in Germany. Clinical diagnostic algorithms may not be concordant.