Circulating biomarkers of cardiovascular disease are related to aneurysm volume in abdominal aortic aneurysm

Background: Surveillance programs in abdominal aortic aneurysms (AAA) are mainly based on imaging and leave room for improvement to timely identify patients at risk for AAA growth. Many biomarkers are dysregulated in patients with AAA, which fuels interest in biomarkers as indicators of disease progression. We examined associations of 92 cardiovascular disease (CVD)-related circulating biomarkers with AAA and sac volume. Methods: In a cross-sectional analysis, we separately investigated (1) 110 watchful waiting (WW) patients (undergoing periodic surveillance imaging without planned intervention) and (2) 203 patients after endovascular aneurysm repair (EVAR). The Cardiovascular Panel III (Olink Proteomics AB, Sweden) was used to measure 92 CVD-related circulating biomarkers. We used cluster analyses to investigate protein-based subphenotypes, and linear regression to examine associations of biomarkers with AAA and sac volume on CT scans. Results: Cluster analyses revealed two biomarker-based subgroups in both WW and EVAR patients, with higher levels of 76 and 74 proteins, respectively, in one subgroup versus the other. In WW patients, uPA showed a borderline significant association with AAA volume. Adjusting for clinical characteristics, there was a difference of −0.092 (−0.148, −0.036) loge mL in AAA volume per SD uPA. In EVAR patients, after multivariable adjustment, four biomarkers remained significantly associated with sac volume. The mean effects on sac volume per SD difference were: LDLR: −0.128 (−0.212, −0.044), TFPI: 0.139 (0.049, 0.229), TIMP4: 0.110 (0.023, 0.197), IGFBP-2: 0.103 (0.012, 0.194). Conclusion: LDLR, TFPI, TIMP4, and IGFBP-2 were independently associated with sac volume after EVAR. Subgroups of patients with high levels of the majority of CVD-related biomarkers emphasize the intertwined relationship between AAA and CVD. ClinicalTrials.gov Identifier: NCT03703947.</p

Cardiac Phenotypes, Genetics, and Risks in Familial Noncompaction Cardiomyopathy

BACKGROUND There is overlap in genetic causes and cardiac features in noncompaction cardiomyopathy (NCCM), hypertrophic cardiomyopathy (HCM), and dilated cardiomyopathy (DCM). OBJECTIVES The goal of this study was to predict phenotype and outcome in relatives according to the clinical features and genotype of NCCM index cases. METHODS Retrospective DNA and cardiac screening of relatives of 113 families from 143 index patients were used to classify NCCM cases according to the cardiac phenotype. These cases were classified as isolated NCCM, NCCM with left ventricular (LV) dilation (DCM), and NCCM with LV hypertrophy (HCM). RESULTS In 58 (51%) families, screening identified 73 relatives with NCCM and 34 with DCM or HCM without NCCM. The yield of family screening was higher in families with a mutation (p <0.001). Fifty-four families had a mutation. Nonpenetrance was observed in 37% of the relatives with a mutation. Index cases were more often symptomatic than affected relatives (p <0.001). NCCM with DCM (53%) was associated with LV systolic dysfunction (p <0.001), increased risk for major adverse cardiac events, mutations in the tail of MYH7 (p <0.001), and DCM without NCCM in relatives (p <0.001). Isolated NCCM (43%) was associated with a milder course, mutations in the head of MYH7, asymptomatic NCCM (42%) (p = 0.018), and isolated NCCM in relatives (p = 0.004). NCCM with HCM (4%) was associated with MYBPC3 and HCM without NCCM in relatives (p <0.001). CONCLUSIONS The phenotype of relatives may be predicted according to the NCCM phenotype and the mutation of index patients. NCCM phenotypes were related to outcome. In this way, clinical and genetic features of index patients may help prediction of outcome in relatives. (C) 2019 by the American College of Cardiology Foundation

Mortality Risk of Untreated Myosin-Binding Protein C-Related Hypertrophic Cardiomyopathy Insight Into the Natural History

ObjectivesThe goal of this study was to assess the mortality of hypertrophic cardiomyopathy (HCM), partly in times when the disease was not elucidated and patients were untreated.BackgroundHCM is feared for the risk of sudden cardiac death (SCD). Insight in the natural history of the disorder is needed to design proper screening strategies for families with HCM.MethodsIn 6 large, 200-year multigenerational pedigrees (identified by using genealogical searches) and in 140 small (contemporary) pedigrees (first-degree relatives of the proband) with HCM caused by a truncating mutation in the myosin-binding protein C gene (n = 1,118), we determined all-cause mortality using the family tree mortality ratio method. The study's main outcome measure was the standardized mortality ratio (SMR).ResultsIn the large pedigrees, overall mortality was not increased (SMR 0.86 [95% confidence interval (CI): 0.72 to 1.03]), but significant excess mortality occurred between 10 and 19 years (SMR 2.7 [95% CI: 1.2 to 5.2]). In the small families, the SMR was increased (SMR 3.2 [95% CI: 2.3 to 4.3]) and excess mortality was observed between 10 and 39 years (SMR 3.2 [95% CI: 2.3 to 4.3]) and 50 and 59 years (SMR 1.9 [95% CI: 1.4 to 2.5]).ConclusionsWe identified specific age categories with increased mortality risks in HCM families. The small, referred pedigrees had higher mortality risks than the large 200-year multigenerational pedigrees. Our findings support the strategy of starting cardiological and genetic screening in the first-degree relatives of a proband from 10 years onward and including persons in the screening at least until the age of 60 years. Screening of more distant relatives is probably most efficient between 10 and 19 years

Mortality risk of untreated myosin-binding protein C-related hypertrophic cardiomyopathy: insight into the natural history

The goal of this study was to assess the mortality of hypertrophic cardiomyopathy (HCM), partly in times when the disease was not elucidated and patients were untreated. HCM is feared for the risk of sudden cardiac death (SCD). Insight in the natural history of the disorder is needed to design proper screening strategies for families with HCM. In 6 large, 200-year multigenerational pedigrees (identified by using genealogical searches) and in 140 small (contemporary) pedigrees (first-degree relatives of the proband) with HCM caused by a truncating mutation in the myosin-binding protein C gene (n = 1,118), we determined all-cause mortality using the family tree mortality ratio method. The study's main outcome measure was the standardized mortality ratio (SMR). In the large pedigrees, overall mortality was not increased (SMR 0.86 [95% confidence interval (CI): 0.72 to 1.03]), but significant excess mortality occurred between 10 and 19 years (SMR 2.7 [95% CI: 1.2 to 5.2]). In the small families, the SMR was increased (SMR 3.2 [95% CI: 2.3 to 4.3]) and excess mortality was observed between 10 and 39 years (SMR 3.2 [95% CI: 2.3 to 4.3]) and 50 and 59 years (SMR 1.9 [95% CI: 1.4 to 2.5]). We identified specific age categories with increased mortality risks in HCM families. The small, referred pedigrees had higher mortality risks than the large 200-year multigenerational pedigrees. Our findings support the strategy of starting cardiological and genetic screening in the first-degree relatives of a proband from 10 years onward and including persons in the screening at least until the age of 60 years. Screening of more distant relatives is probably most efficient between 10 and 19 year

Genetics, Clinical Features, and Long-Term Outcome of Noncompaction Cardiomyopathy

Background: The clinical outcomes of noncompaction cardiomyopathy (NCCM) range from asymptomatic to heart failure, arrhythmias, and sudden cardiac death. Genetics play an important role in NCCM. Objectives: This study investigated the correlations among genetics, clinical features, and outcomes in adults and children diagnosed with NCCM. Methods: A retrospective multicenter study from 4 cardiogenetic centers in the Netherlands classified 327 unrelated NCCM patients into 3 categories: 1) genetic, with a mutation in 32% (81 adults; 23 children) of patients; 2) probably genetic, familial cardiomyopathy without a mutation in 16% (45 adults; 8 children) of patients; or 3) sporadic, no family history, without mutation in 52% (149 adults; 21 children) of patients. Clinical features and major adverse cardiac events (MACE) during follow-up were compared across the children and adults. Results: MYH7, MYBPC3, and TTN mutations were the most common mutations (71%) found in genetic NCCM. The risk of having reduced left ventricular (LV) systolic dysfunction was higher for genetic patients compared with the probably genetic and sporadic cases (p = 0.024), with the highest risk in patients with multiple mutations and TTN mutations. Mutations were more frequent in children (p = 0.04) and were associated with MACE (p = 0.025). Adults were more likely to have sporadic NCCM. High risk for cardiac events in children and adults was related to LV systolic dysfunction in mutation carriers, but not in sporadic cases. Patients with MYH7 mutations had low risk for MACE (p = 0.03). Conclusions: NCCM is a heterogeneous condition, and genetic stratification has a role in clinical care. Distinguishing genetic from nongenetic NCCM complements prediction of outcome and may lead to management and follow-up tailored to genetic status

Genetics, Clinical Features, and Long-Term Outcome of Noncompaction Cardiomyopathy

The clinical outcomes of noncompaction cardiomyopathy (NCCM) range from asymptomatic to heart failure, arrhythmias, and sudden cardiac death. Genetics play an important role in NCCM. This study investigated the correlations among genetics, clinical features, and outcomes in adults and children diagnosed with NCCM. A retrospective multicenter study from 4 cardiogenetic centers in the Netherlands classified 327 unrelated NCCM patients into 3 categories: 1) genetic, with a mutation in 32% (81 adults; 23 children) of patients; 2) probably genetic, familial cardiomyopathy without a mutation in 16% (45 adults; 8 children) of patients; or 3) sporadic, no family history, without mutation in 52% (149 adults; 21 children) of patients. Clinical features and major adverse cardiac events (MACE) during follow-up were compared across the children and adults. MYH7, MYBPC3, and TTN mutations were the most common mutations (71%) found in genetic NCCM. The risk of having reduced left ventricular (LV) systolic dysfunction was higher for genetic patients compared with the probably genetic and sporadic cases (p = 0.024), with the highest risk in patients with multiple mutations and TTN mutations. Mutations were more frequent in children (p = 0.04) and were associated with MACE (p = 0.025). Adults were more likely to have sporadic NCCM. High risk for cardiac events in children and adults was related to LV systolic dysfunction in mutation carriers, but not in sporadic cases. Patients with MYH7 mutations had low risk for MACE (p = 0.03). NCCM is a heterogeneous condition, and genetic stratification has a role in clinical care. Distinguishing genetic from nongenetic NCCM complements prediction of outcome and may lead to management and follow-up tailored to genetic statu

Mutations in SMAD3 cause a syndromic form of aortic aneurysms and dissections with early-onset osteoarthritis

Thoracic aortic aneurysms and dissections are a main feature of connective tissue disorders, such as Marfan syndrome and Loeys-Dietz syndrome. We delineated a new syndrome presenting with aneurysms, dissections and tortuosity throughout the arterial tree in association with mild craniofacial features and skeletal and cutaneous anomalies. In contrast with other aneurysm syndromes, most of these affected individuals presented with early-onset osteoarthritis. We mapped the genetic locus to chromosome 15q22.2-24.2 and show that the disease is caused by mutations in SMAD3. This gene encodes a member of the TGF-beta pathway that is essential for TGF-beta signal transmission(1-3). SMAD3 mutations lead to increased aortic expression of several key players in the TGF-beta pathway, including SMAD3. Molecular diagnosis will allow early and reliable identification of cases and relatives at risk for major cardiovascular complications. Our findings endorse the TGF-beta pathway as the primary pharmacological target for the development of new treatments for aortic aneurysms and osteoarthritis

LRP10 genetic variants in familial Parkinson's disease and dementia with Lewy bodies: a genome-wide linkage and sequencing study

Background: Most patients with Parkinson's disease, Parkinson's disease dementia, and dementia with Lewy bodies do not carry mutations in known disease-causing genes. The aim of this study was to identify a novel gene implicated in the development of these disorders. Methods: Our study was done in three stages. First, we did genome-wide linkage analysis of an Italian family with dominantly inherited Parkinson's disease to identify the disease locus. Second, we sequenced the candidate gene in an international multicentre series of unrelated probands who were diagnosed either clinically or pathologically with Parkinson's disease, Parkinson's disease dementia, or dementia with Lewy bodies. As a control, we used gene sequencing data from individuals with abdominal aortic aneurysms (who were not examined neurologically). Third, we enrolled an independent series of patients diagnosed clinically with Parkinson's disease and controls with no signs or family history of Parkinson's disease, Parkinson's disease dementia, or dementia with Lewy bodies from centres in Portugal, Sardinia, and Taiwan, and screened them for specific variants. We also did mRNA and brain pathology studies in three patients from the international multicentre series carrying disease-associated variants, and we did functional protein studies in in-vitro models, including neurons from induced pluripotent stem-like cells. Findings: Molecular studies were done between Jan 1, 2008, and Dec 31, 2017. In the initial kindred of ten affected Italian individuals (mean age of disease onset 59·8 years [SD 8·7]), we detected significant linkage of Parkinson's disease to chromosome 14 and nominated LRP10 as the disease-causing gene. Among the international series of 660 probands, we identified eight individuals (four with Parkinson's disease, two with Parkinson's disease dementia, and two with dementia with Lewy bodies) who carried different, rare, potentially pathogenic LRP10 variants; one carrier was found among 645 controls with abdominal aortic aneurysms. In the independent series, two of these eight variants were detected in three additional Parkinson's disease probands (two from Sardinia and one from Taiwan) but in none of the controls. Of the 11 probands from the international and independent cohorts with LRP10 variants, ten had a positive family history of disease and DNA was available from ten affected relatives (in seven of these families). The LRP10 variants were present in nine of these ten relatives, providing independent—albeit limited—evidence of co-segregation with disease. Post-mortem studies in three patients carrying distinct LRP10 variants showed severe Lewy body pathology. Of nine variants identified in total (one in the initial family and eight in stage 2), three severely affected LRP10 expression and mRNA stability (1424+5delG, 1424+5G→A, and Ala212Serfs*17, shown by cDNA analysis), four affected protein stability (Tyr307Asn, Gly603Arg, Arg235Cys, and Pro699Ser, shown by cycloheximide-chase experiments), and two affected protein localisation (Asn517del and Arg533Leu; shown by immunocytochemistry), pointing to loss of LRP10 function as a common pathogenic mechanism. Interpretation: Our findings implicate LRP10 gene defects in the development of inherited forms of α-synucleinopathies. Future elucidation of the function of the LRP10 protein and pathways could offer novel insights into mechanisms, biomarkers, and therapeutic targets. Funding: Stichting ParkinsonFonds, Dorpmans-Wigmans Stichting, Erasmus Medical Center, ZonMw—Memorabel programme, EU Joint Programme Neurodegenerative Disease Research (JPND), Parkinson's UK, Avtal om Läkarutbildning och Forskning (ALF) and Parkinsonfonden (Sweden), Lijf and Leven foundation, and cross-border grant of Alzheimer Netherlands–Ligue Européene Contre la Maladie d'Alzheimer (LECMA)