Publications by authors named "Salomaa V"

Objective: Plasma metabolite profiling has uncovered several nonglycemic markers of incident type 2 diabetes (T2D). We investigated whether such biomarkers provide information about specific aspects of T2D etiology, such as impaired fasting glucose and impaired glucose tolerance, and whether their association with T2D risk varies by race.

Research Design And Methods: Untargeted plasma metabolite profiling was performed of participants in the FINRISK 2002 cohort (n = 7,564).

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Missing teeth have been linked to incident cardiovascular disease, diabetes, and all-cause mortality. Our previous study revealed that signs of oral infections and inflammatory conditions (i.e.

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Objective: Although the incidence and case fatality (CF) of acute myocardial ischaemic syndrome (AMIS) have declined in recent decades, some studies have suggested a potential stagnation in this decline. We examined if a similar development in AMIS trends can be observed in Finland from 1996 to 2021 among persons aged 35-74 years.

Methods: We linked Finnish country-wide Hospital Discharge- and Causes of Death- Registers covering the first non-fatal and fatal myocardial ischaemic events (total 69 906 442 person-years at risk).

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Background & Aims: A new nomenclature and subclassification for steatotic liver disease (SLD) was recently introduced. We validated the prognostic value of SLD subclasses in a Finnish population-based cohort and explored the impact of metabolic risk factors and alcohol consumption on liver-related outcomes and death.

Methods: The study included 23,910 individuals (47% men, mean age 50.

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We investigated the effects of 35 inflammatory cytokines on respiratory outcomes, including COVID-19, asthma (atopic and non-atopic), chronic obstructive pulmonary disease (COPD), and pulmonary function indices, using Mendelian randomization and colocalization analyses. The emerging associations were further explored using observational analyses in the UK Biobank. We found an inverse association between genetically predicted macrophage colony stimulating factor (MCSF), soluble intercellular adhesion molecule-1 (sICAM), and soluble vascular cell adhesion molecule-1 with risk of COVID-19 outcomes.

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  • Genome-wide association studies have found numerous genetic loci linked to glycemic traits, but connecting these loci to specific genes and biological pathways remains a challenge.
  • Researchers conducted meta-analyses of exome-array studies across four glycemic traits, analyzing data from over 144,000 participants, which led to the identification of coding variant associations in more than 60 genes.
  • The study revealed significant pathways related to insulin secretion, zinc transport, and fatty acid metabolism, enhancing understanding of glycemic regulation and making data available for further research.
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  • Immune-related adverse events (irAEs) from immune checkpoint blockade (ICB) therapy affect many cancer patients, with their underlying causes not fully understood.
  • Research identified a bio-active lipid called linoleoyl-lysophosphatidylcholine (LPC 18:2) that may play a key role in modulating these adverse events, with low levels of LPC 18:2 linked to the onset of severe irAEs.
  • Supplementing LPC 18:2 in preclinical and human studies showed a reduction in harmful inflammation and neutrophil levels without detracting from the anti-tumor effectiveness of ICB therapy, suggesting it could enhance patient outcomes.
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The gut microbiota (GM) can regulate bone mass, but its association with incident fractures is unknown. We used Cox regression models to determine whether the GM composition is associated with incident fractures in the large FINRISK 2002 cohort (n = 7043, 1092 incident fracture cases, median follow-up time 18 years) with information on GM composition and functionality from shotgun metagenome sequencing. Higher alpha diversity was associated with decreased fracture risk (hazard ratio [HR] 0.

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Introduction: Risk stratification scores such as the European Systematic COronary Risk Evaluation (SCORE) are used to guide individuals on cardiovascular disease (CVD) prevention. Adding high-sensitivity troponin I (hsTnI) to such risk scores has the potential to improve accuracy of CVD prediction. We investigated how applying hsTnI in addition to SCORE may impact management, outcome, and cost-effectiveness.

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Background: Conventional low-density lipoprotein cholesterol (LDL-C) quantification includes cholesterol attributable to lipoprotein(a) (Lp(a)-C) due to their overlapping densities.

Objectives: The purposes of this study were to compare the association between LDL-C and LDL-C corrected for Lp(a)-C (LDL) with incident coronary heart disease (CHD) in the general population and to investigate whether concomitant Lp(a) values influence the association of LDL-C or apolipoprotein B (apoB) with coronary events.

Methods: Among 68,748 CHD-free subjects at baseline LDL was calculated as "LDL-C-Lp(a)-C," where Lp(a)-C was 30% or 17.

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  • - The study investigated how changes in gut microbiota might influence the risk of future hospitalization due to infections in two large groups from the Netherlands and Finland, focusing on individuals aged 18-74.
  • - Researchers used 16S rRNA gene sequencing to analyze gut microbiota from participants' fecal samples and looked for links between microbiota characteristics (like diversity and butyrate-producing bacteria) and infection-related health outcomes over a follow-up period of 5-7 years.
  • - The results included data from 10,699 participants, revealing potential relationships between certain microbiota profiles and increased susceptibility to severe infections, although further clarification on these interactions in humans is needed.
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Purpose: Population-based studies on the associations of plant-based foods, red meat or dairy with gut microbiome are scarce. We examined whether the consumption of plant-based foods (vegetables, potatoes, fruits, cereals), red and processed meat (RPM) or dairy (fermented milk, cheese, other dairy products) are related to gut microbiome in Finnish adults.

Methods: We utilized data from the National FINRISK/FINDIET 2002 Study (n = 1273, aged 25-64 years, 55% women).

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Importance: Identification of individuals at high risk for atherosclerotic cardiovascular disease within the population is important to inform primary prevention strategies.

Objective: To evaluate the prognostic value of routinely available cardiovascular biomarkers when added to established risk factors.

Design, Setting, And Participants: Individual-level analysis including data on cardiovascular biomarkers from 28 general population-based cohorts from 12 countries and 4 continents with assessments by participant age.

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  • * The research showed that individuals with high polygenic risk scores have significantly higher blood pressure (almost 17 mmHg more) and over seven times the risk of developing hypertension compared to those with low scores.
  • * Incorporating these genetic risk scores into hypertension prediction models improved their accuracy, and excitingly, similar genetic associations were found in a large African-American sample, underscoring the potential of these findings for precision health initiatives.
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  • This study explores the effectiveness of combining genomic and gut metagenomic assessments to better predict the risk of diseases like coronary artery disease, type 2 diabetes, Alzheimer’s, and prostate cancer, using data from a long-term health record follow-up.
  • The researchers found that using polygenic risk scores (PRSs) significantly enhances disease prediction compared to traditional risk factors alone.
  • By integrating PRSs with gut microbiome scores and conventional risk factors, they achieved the best predictive outcomes for the diseases studied, highlighting the potential of multiomics in early disease detection and risk profiling.
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  • Intellectual disability (ID) covers a broad range, with mild cases being part of the general intelligence distribution and severe cases often linked to specific genetic disorders.
  • A study of a large cohort in Northern Finland revealed that while a small percentage of mild ID is due to Finnish-enriched recessive variants, dominant variants have a more significant role in both mild and severe cases.
  • Analysis showed that both rare and common genetic variants contribute to ID, with their combined effects being more predictive of ID status than each type alone.
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  • - This study conducted a genome-wide association analysis on metabolic traits in over 136,000 participants, revealing over 400 genetic loci that influence human metabolism and complex diseases.
  • - Researchers used advanced techniques like nuclear magnetic resonance spectroscopy to link specific genetic variants with how they affect lipoprotein metabolism and other metabolic processes.
  • - The findings highlight the genetic connections between metabolism and conditions such as hypertension, providing valuable data for further research on metabolic-related diseases.
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Hypoxia-inducible factor pathway genes are linked to adaptation in both human and nonhuman highland species. , a notable target of hypoxia adaptation, is associated with relatively lower hemoglobin concentration in Tibetans. We provide evidence for an association between an adaptive variant (rs570553380) and the same phenotype of relatively low hematocrit in Andean highlanders.

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Pulmonary arterial hypertension (PAH) is a rare and fatal vascular disease with heterogeneous clinical manifestations. To date, molecular determinants underlying the development of PAH and related outcomes remain poorly understood. Herein, we identify pulmonary primary oxysterol and bile acid synthesis (PPOBAS) as a previously unrecognized pathway central to PAH pathophysiology.

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Background And Aims: Recent investigations have suggested an interdependence of lipoprotein(a) [Lp(a)]-related risk for cardiovascular disease with background inflammatory burden. The aim the present analysis was to investigate whether high-sensitive C-reactive protein (hsCRP) modulates the association between Lp(a) and coronary heart disease (CHD) in the general population.

Methods: Data from 71 678 participants from 8 European prospective population-based cohort studies were used (65 661 without/6017 with established CHD at baseline; median follow-up 9.

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  • X-chromosomal genetic variants can provide important information about differences in human traits and diseases between sexes.
  • A large-scale study analyzed kidney-related traits in nearly 909,000 individuals, finding 23 genetic loci linked to uric acid levels and estimated glomerular filtration rate (eGFR), including four new genes that may play a role in kidney function.
  • The research also discovered five novel sex-specific interactions, with variations showing different effects in males and females, and highlighted genes that are responsive to androgens (male hormones), indicating a complex relationship between sex and kidney-related genetics.
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Aims: The regional and temporal differences in the associations between cardiovascular disease (CVD) and its classic risk factors are unknown. The current study examined these associations in different European regions over a 30-year period.

Methods And Results: The study sample comprised 553 818 individuals from 49 cohorts in 11 European countries (baseline: 1982-2012) who were followed up for a maximum of 10 years.

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Background: Dyslipidemia is treated effectively with statins, but treatment has the potential to induce new-onset type-2 diabetes. Gut microbiota may contribute to this outcome variability. We assessed the associations of gut microbiota diversity and composition with statins.

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