Lars Lind’s research while affiliated with Uppsala University and other places

Imaging-defined atherosclerosis represents an intermediate phenotype of atherosclerotic cardiovascular disease (ASCVD). Genome-wide association studies (GWAS) on directly measured coronary plaques using coronary computed tomography angiography (CCTA) are scarce. In the so far largest population-based cohort with CCTA data, we performed a GWAS on coronary plaque burden as determined by the segment involvement score (SIS) in 24,811 European individuals. We identified 20 significant independent genetic markers for SIS, three of which were found in loci not implicated in ASCVD before. Further GWAS on coronary artery calcification showed similar results to that of SIS, whereas a GWAS on ultrasound-assessed carotid plaques identified both shared and non-shared loci with SIS. In two-sample Mendelian randomization studies using SIS-associated markers in UK Biobank and CARDIoGRAMplusC4D, one extra coronary segment with atherosclerosis corresponded to 1.8-fold increased odds of myocardial infarction. This GWAS data can aid future studies of causal pathways in ASCVD.

Background Aortic valve calcification (AVC) is an underlying pathophysiological mechanism in aortic stenosis, which shares many risk factors with diabetes. However, the association between dysglycemia and early stages of AVC remains unclear. The aim was to examine the associations between stages of dysglycemia and signs of AVC among middle-aged individuals from the general population. Methods This was a cross-sectional study from the Swedish CArdioPulmonary bioImage Study (SCAPIS) randomly enrolling 30,154 middle-aged men and women from six study sites in Sweden between 2013 and 2018. Glycemic status was based on the World Health Organization criteria (fasting blood glucose and/or HbA1c) and questionnaire-based answers on previous diseases and categorized as normoglycemia, prediabetes, newly detected diabetes and known diabetes. AVC was assessed on cardiac computed tomography (CT) and defined as evident or not. Results Of 29,331 individuals with data on glycemic status and AVC available, mean age was 57.5 years and normoglycemia was present in 76%, prediabetes in 16%, newly detected diabetes in 3% and known diabetes in 5%. The prevalence of AVC increased progressively across glycemic categories, particularly in males (8%, 11%, 14% and 17%; P < 0.01) compared to females (5%, 6%, 8% and 9%; P < 0.01). There was an association with AVC already in the early stages of dysglycemia; prediabetes (OR 1.16, 95% CI 1.02–1.31), newly detected diabetes (1.34 [1.05–1.71]) and known diabetes (1.61 [1.34–1.93]) after adjusting for age, sex, smoking, study site, low density lipoprotein-cholesterol and hypertension. Conclusions In this large, contemporary, and randomly selected population of middle-aged individuals, prediabetes, newly detected diabetes and known diabetes were all associated with CT-detected AVC. Further studies are warranted to investigate if managing dysglycemia, even in its early stages, may help slow down AVC progression. Graphical abstract

Background How cardiovascular diseases (CVD) predispose to a higher risk of fragility fractures is not well understood. Both contribute to significant components of disease burden and health expenditure. Poor bone quality, central obesity, sarcopenia, falls, and low grip strength are independent risk factors for hip and other fragility fractures and also for CVD and early death.

To investigate whether coronary artery disease (CAD) burden is associated with plasma levels of the myocardial biomarkers Troponin I (TropI) and NT-proBNP in a large population-based sample using a cross-sectional design. Coronary computerized tomography (CT) angiography was performed in 25,859 subjects without a history of atherosclerotic disease from SCAPIS study (age 50–65, 52% women). TropI and NT-proBNP were measured in plasma. Segment involvement score (SIS) was the primary exposure and TropI the primary outcome. Both SIS and coronary artery calcium score, were associated with TropI levels following adjustment for age, sex and multiple confounders (p < 0.001), with similar relationships in men and women. Proximal segments from all three coronary arteries were related to TropI levels independently of one another. Adding TropI to traditional risk factors marginally increased discrimination of atherosclerosis as compared to risk factors alone (C-statistics + 0.0005, p = 0.014). SIS was related also to NT-proBNP levels, mainly in men, but with lower estimates than TropI. The burden of CAD was related to TropI levels in both men and women. All three major coronary arteries contributed to this relationship. Adding TropI to traditional risk factors resulted in only marginally improved discrimination of coronary atherosclerosis.

Background: We previously reported significant correlations between a direct measure of insulin sensitivity (IS) and blood levels of proteins measured using the Proximity Extension Assay (PEA) in two European cohorts. However, protein correlations with IS within non-European populations, in response to short-term interventions that improve IS, and any causal associations with IS have not yet been established. Methods: We measured 1,470 proteins using the PEA in the plasma of 1,015 research participants at Stanford University who underwent one or more direct measures of IS. Association analyses were carried out with multivariable linear regression within and across Stanford subgroups and within each of the two European cohorts. Association statistics were also meta-analyzed after transformation and harmonization of the two direct measures of IS. Lastly, we performed genome-wide association studies of IS and used genetic instruments of plasma proteins from the UK Biobank to identify candidate causal proteins for IS through Mendelian Randomization (MR) analysis. Results: In age and sex adjusted model, 810 proteins were associated with baseline IS among 652 self-reported European participants in the Stanford cohort at a false discovery rate (FDR) < 0.05. Effect sizes for these proteins were highly correlated with those observed in 122 South Asian, 92 East Asian, 85 Hispanic, and 52 Black/African American persons (r= 0.68 to 0.83, all P<=4.3x10^-113). Meta-analysis of the full Stanford cohort with the two European cohorts (N=2,945) yielded 247 significant protein associations (FDR < 0.05), with 75 remaining significant after further adjustment for body mass index. In a subset of Stanford participants undergoing insulin sensitizing interventions (N=53 taking thiazolidinediones, N=66 with weight loss), 79.6% of protein level changes were directionally consistent with the respective baseline association (observed/expected p=6.7x10^-16). MR analyses identified eight candidate causal proteins for IS, among which were SELE and ASGR1, proteins with established drug targets currently under investigation. Conclusion: Plasma proteins measured using the PEA provide a robust signature for IS across diverse populations and after short-term insulin sensitizing interventions highlighting their potential value as universal biomarkers of insulin resistance. A small subset of markers provided insights into potential causal molecular mechanisms and therapeutic targets.

Introduction Although family history of coronary heart disease (CHD) is an established risk factor for subsequent CHD, its relation to the circulating proteome is unknown. Proteins linked to coronary atherosclerosis in subjects with a family history could uncover new pathophysiological mechanisms of heritable CHD. Purpose Firstly, we aimed to study the protein profile associated with a family history of early-onset CHD. Secondly, we aimed to identify proteins among which family history was an effect modifier for the association between each protein and coronary atherosclerosis. Methods Plasma levels of proteins were assessed with Olink panels CVD-II and -III in the population-based Swedish CArdioPulmonary bioImage Study (SCAPIS) cohort. The coronary segment involvement score (SIS) was assessed from computed tomography angiography. Subjects without known CHD were cross-referenced with national registers to identify records of myocardial infarction or coronary revascularization in any parent before 55 or 65 years of age in males and females, respectively. The associations between a family history of CHD and each protein were studied with linear regression adjusted for age, sex and study site, using a False Discovery Rate (FDR) of 5%. Associations were subsequently adjusted for cardiovascular risk factors. Similarly, associations between each protein and SIS were modelled linearly with an FDR of 5%. For significant proteins, the statistical interactions between each protein and family history for the association between proteins and SIS were studied. Results Of 4,251 subjects, 9.5% had a family history CHD. 43 proteins were significantly associated with family history, and when adjusted for risk factors 29 protein associations remained significant (p<0,05) [Figure 1]. The strongest associations were observed for cathepsin D, paraoxonase 3, interleukin-1 receptor antagonist protein and renin. 79 proteins were associated with SIS at FDR<5%, and family history was a significant effect modifier 18 for proteins [Figure 2]. The strongest modifying effects were observed for transferrin receptor protein 1 (β 0.64, 95% CI 0.25–1.04 for those with family history vs β -0.04, 95% CI -0.14–0.06 in those without, p for interaction=0.001), LDL-receptor (β 0.68, 95% CI 0.36–1.00 vs β 0.18, 95% CI 0.08–0.26) and tissue-type plasminogen activator (β 0.45, 95% CI 0.19–0.70 vs β 0.13, 95% CI 0.05–0.21). Conclusion We found that 43 proteins, with biological features of inflammation and vascular function, were associated with a family history of early-onset CHD. Most were also linked to the coronary atherosclerosis burden. Notably, 18 biomarkers, among them transferrin receptor protein 1, LDL-receptor and tissue-type plasminogen activator, exhibited strong statistical interactions with family history in the association with SIS, indicating that they are of particular importance for the genetic susceptibility and the pathophysiology of heritable CHD.

Background Insulin resistance (IR) is a key component in several cardiovascular risk factors. The triglyceride-glucose index (TyG index), triglyceride to high density lipoprotein-cholesterol ratio (TG/HDL-C) and visceral adiposity index (VAI) are easily accessible surrogate measures of IR and have been associated with coronary artery calcification and other cardiovascular diseases. Less is known about IR and aortic valve calcification (AVC). Purpose To investigate the association between different measures of IR (TyG index, TG/HDL-C, VAI) and AVC. Method The Swedish Cardiopulmonary Bioimage Study (SCAPIS) recruited 30 154 randomly selected individuals aged 50 to 64 years from the general population in Sweden between 2013 to 2018. AVC was assessed visually on cardiac computed tomography and categorized as present or absent. TyG index was calculated based on triglyceride and glucose levels, TG/HDL-C ratio using triglyceride and HDL-C levels and VAI using waist circumference, triglyceride and HDL-C levels. The association between IR indexes (as continuous variables by 1 unit increment and categorical variables by quartiles) and AVC was assessed using multivariable logistic regression models. Results In total, measures of IR were available in 29 268 participants of whom 2118 (7%) had AVC. Mean IR index levels were higher in participants with compared to without AVC (TyG index: 8.65 vs. 8.49; p<0.01; TG/HDL-C: 1.11 vs. 0.91; p<0.01 and VAI: 1.73 vs. 1.48; p<0.01). All three indices of IR were associated with AVC in continuous analyses. Subsequently, in multivariable logistic regressions adjusted for age, sex, study site and smoking, there was a stepwise increase in the risk of AVC with increasing quartiles of TyG index, TG/HDL-C and VAI (Figure 1). Conclusion Three different surrogate measures of IR (TyG index, TG/HDL-C and VAI) were all associated with AVC in a middle-aged general population suggesting that they could all be used as risk markers in clinical practice.

Background and aims Few population-based cohort studies, including both men and women, have explored circulating proteins associated with incident myocardial infarction (MI). This study investigated the relationships between circulating cardiometabolic-related proteins and MI risk using cohort-based and Mendelian randomization (MR) analyses and explored potential sex-specific differences. Methods The discovery cohort included 11 751 Swedish adults (55–93 years). Data on 259 proteins assessed with Olink proximity extension assays, biochemical, and questionnaire-based information were used. Participants were followed up for incident MI and death over 8 years through linkage to Swedish registers. Replication analyses were conducted on the UK Biobank sample (n = 51 613). In MR analyses, index cis-genetic variants strongly related to the proteins were used as instrumental variables. Genetic association summary statistic data for MI were obtained from the CARDIoGRAMplusC4D consortium and FinnGen. Results Forty-five proteins were associated with incident MI in discovery and replication samples following adjustment for potential confounders and multiple testing. In the secondary analysis, 13 of the protein associations were sex-specific, with most associations identified among women. In MR analysis, genetically predicted higher levels of renin, follistatin, and retinoic acid receptor responder protein 2 were linked to an increased risk of MI. Tissue factor pathway inhibitor, tumor necrosis factor receptors 1 and 2, placenta growth factor had an inverse association with MI. Conclusions This study identified both new and confirmed previously established associations between circulating proteins and incident MI and, for the first time, suggested sex-specific patterns in multiple protein-MI associations.

Several large-scale studies have measured plasma levels of the proteome in individuals with cardiovascular diseases (CVDs) 1–7 . However, since the majority of such proteins are interrelated ² , it is difficult for observational studies to distinguish which proteins are likely to be of etiological relevance. Here we evaluate whether plasma levels of 2,919 proteins measured in 52,164 UK Biobank participants are associated with incident myocardial infarction, ischemic stroke or heart failure. Of those proteins, 126 were associated with all three CVD outcomes and 118 were associated with at least one CVD in the China Kadoorie Biobank. Mendelian randomization and colocalization analyses indicated that genetically determined levels of 47 and 18 proteins, respectively, were associated with CVDs, including FGF5, PROCR and FURIN. While the majority of protein–CVD observational associations were noncausal, these three proteins showed evidence to support potential causality and are therefore promising targets for drug treatment for CVD outcomes.