Causal associations between insulin and Lp(a) levels in Caucasian population: a Mendelian randomization study.

BACKGROUND: Numerous observational studies have demonstrated that circulating lipoprotein(a) [Lp(a)] might be inversely related to the risk of type 2 diabetes (T2D). However, recent Mendelian randomization (MR) studies do not consistently support this association. The results of in vitro research suggest that high insulin concentrations can suppress Lp(a) levels by affecting apolipoprotein(a) [apo(a)] synthesis. This study aimed to identify the relationship between genetically predicted insulin concentrations and Lp(a) levels, which may partly explain the associations between low Lp(a) levels and increased risk of T2D. METHODS: Independent genetic variants strongly associated with fasting insulin levels were identified from meta-analyses of genome-wide association studies in European populations (GWASs) (N = 151,013). Summary level data for Lp(a) in the population of European ancestry were acquired from a GWAS in the UK Biobank (N = 361,194). The inverse-variance weighted (IVW) method approach was applied to perform two-sample summary-level MR. Robust methods for sensitivity analysis were utilized, such as MR‒Egger, the weighted median (WME) method, MR pleiotropy residual sum and outlier (MR-PRESSO), leave-one-out analysis, and MR Steiger. RESULTS: Genetically predicted fasting insulin levels were negatively associated with Lp(a) levels (ß = - 0.15, SE = 0.05, P = 0.003). The sensitivity analysis revealed that WME (ß = - 0.26, SE = 0.07, P = 0.0002), but not MR‒Egger (ß = - 0.22, SE = 0.13, P = 0.11), supported a causal relationship between genetically predisposed insulin levels and Lp(a). CONCLUSION: Our MR study provides robust evidence supporting the association between genetically predicted increased insulin concentrations and decreased concentrations of Lp(a). These findings suggest that hyperinsulinaemia, which typically accompanies T2D, can partially explain the inverse relationship between low Lp(a) concentrations and an increased risk of T2D.

Association between Lp(a) and T2D: a Mendelian randomization study.

Introduction: Blood lipoprotein(a) (Lp(a)) levels have been observed to be inversely correlated with type 2 diabetes (T2D). In this Mendelian randomization (MR) study, the causal impact of genetically predicted Lp(a) on T2D was assessed. Methods: A two-sample MR analysis was conducted. Data were obtained from UK Biobank and FinnGen consortia. Primary analysis was based on an inverse-variance-weighted mean (IVM) approach. Results: No statistically significant association between the genetically predicted levels of Lp(a) and T2D was detected (p = 0.362) in IVM analysis involving data of 563,420 patients. Conclusions: Genetically predicted Lp(a) concentration does not appear to be causally related to the risk of T2D.

The Impact of Haplotypes of the FTO Gene, Lifestyle, and Dietary Patterns on BMI and Metabolic Syndrome in Polish Young Adult Men.

BACKGROUND: Variants in fat mass and the obesity-associated protein (FTO) gene have long been recognized as the most significant genetic predictors of body fat mass and obesity. Nevertheless, despite the overall evidence, there are conflicting reports regarding the correlation between different polymorphisms of the FTO gene and body mass index (BMI). Additionally, it is unclear whether FTO influences metabolic syndrome (MetS) through mechanisms other than BMI's impact. In this work, we aimed to analyze the impact of the following FTO polymorphisms on the BMI as well as MetS components in a population of young adult men. METHODS: The patient group consisted of 279 Polish young adult men aged 28.92 (4.28) recruited for the MAGNETIC trial. The single-nucleotide polymorphisms (SNPs), located in the first intron of the FTO gene, were genotyped, and the results were used to identify "protective" and "risk" haplotypes and diplotypes based on the literature data. Laboratory, as well as anthropometric measurements regarding MetS, were performed. Measured MetS components included those used in the definition in accordance with the current guidelines. Data regarding dietary patterns were also collected, and principal components of the dietary patterns were identified. RESULTS: No statistically significant correlations were identified between the analyzed FTO diplotypes and BMI (p = 0.53) or other MetS components (waist circumference p = 0.55; triglycerides p = 0.72; HDL cholesterol p = 0.33; blood glucose p = 0.20; systolic blood pressure p = 0.06; diastolic blood pressure p = 0.21). Stratification by the level of physical activity or adherence to the dietary patterns also did not result in any statistically significant result. CONCLUSIONS: Some studies have shown that FTO SNPs such as rs1421085, rs1121980, rs8050136, rs9939609, and rs9930506 have an impact on the BMI or other MetS components; nevertheless, this was not replicated in this study of Polish young adult males.

Phenotypes of Polish primary care patients using hierarchical clustering: Exploring the risk of mortality in the LIPIDOGEN2015 study cohort.

BACKGROUND: Comorbidities in primary care do not occur in isolation but tend to cluster together causing various clinically complex phenotypes. This study aimed to distinguish phenotype clusters and identify the risks of all-cause mortality in primary care. METHODS: The baseline cohort of the LIPIDOGEN2015 sub-study involved 1779 patients recruited by 438 primary care physicians. To identify different phenotype clusters, we used hierarchical clustering and investigated differences between clinical characteristics and mortality between clusters. We then performed causal analyses using causal mediation analysis to explore potential mediators between different clusters and all-cause mortality. RESULTS: A total of 1756 patients were included (mean age 51.2, SD 13.0; 60.3% female), with a median follow-up of 5.7 years. Three clusters were identified: Cluster 1 (n = 543) was characterised by overweight/obesity (body mass index ≥ 25 kg/m2), older (age ≥ 65 years), more comorbidities; Cluster 2 (n = 459) was characterised by non-overweight/obesity, younger, fewer comorbidities; Cluster 3 (n = 754) was characterised by overweight/obesity, younger, fewer comorbidities. Adjusted Cox regression showed that compared with Cluster 2, Cluster 1 had a significantly higher risk of all-cause mortality (HR 3.87, 95% CI: 1.24-15.91), whereas this was insignificantly different for Cluster 3. Causal mediation analyses showed that decreased protein thiol groups mediated the hazard effect of all-cause mortality in Cluster 1 compared with Cluster 2, but not between Clusters 1 and 3. CONCLUSION: Overweight/obesity older patients with more comorbidities had the highest risk of long-term all-cause mortality, and in the young group population overweight/obesity insignificantly increased the risk in the long-term follow-up, providing a basis for stratified phenotypic risk management.

Association of body mass index and long-term mortality in patients from nationwide LIPIDOGRAM 2004-2015 cohort studies: no obesity paradox?

BACKGROUND: An obesity paradox has been described in relation to adverse clinical outcomes (e.g., mortality) with lower body mass index (BMI). AIMS: We sought to evaluate the association between BMI and weight loss with long-term all-cause mortality in adult populations under the care of family physicians. METHODS: LIPIDOGRAM studies were conducted in primary care in Poland in 2004, 2006, and 2015 and enrolled a total of 45,615 patients. The LIPIDOGRAM Plus study included 1627 patients recruited in the LIPIDOGRAM 2004 and repeated measurements in 2006 edition. Patients were classified by BMI categories as underweight, normal weight, overweight and class I, II, or III (obesity). Follow-up data up to December 2021 were obtained from the Central Statistical Office. Differences in all-cause mortality were analyzed using Kaplan‒Meier and Cox regression analyses. RESULTS: Of 45,615 patients, 10,987 (24.1%) were normal weight, 320 (0.7%) were underweight, 19,134 (41.9%) were overweight, and 15,174 (33.2%) lived with obesity. Follow-up was available for 44,620 patients (97.8%, median duration 15.3 years, 61.7% females). In the crude analysis, long-term all-cause mortality was lowest for the normal-weight group (14%) compared with other categories. After adjusting for comorbidities, the highest risk of death was observed for the class III obesity and underweight categories (hazard ratio, HR 1.79, 95% CI [1.55-2.05] and HR 1.57, 95% CI [1.22-2.04]), respectively. The LIPIDOGRAM Plus analysis revealed that a decrease in body weight (by 5 and 10%) over 2 years was associated with a significantly increased risk of death during long-term follow-up-HR 1.45 (95% CI 1.05-2.02, p = 0.03) and HR 1.67 (95% CI 1.02-2.74, p < 0.001). Patients who experienced weight loss were older and more burdened with comorbidities. CONCLUSIONS: Being underweight, overweight or obese is associated with a higher mortality risk in a population of patients in primary care. Patients who lost weight were older and more burdened with cardiometabolic diseases, which may suggest unintentional weight loss, and were at higher risk of death in the long-term follow-up. In nonsmoking patients without comorbidities, the lowest mortality was observed in those with a BMI < 25 kg/m2, and no U-curve relationship was observed.

Intracranial Germinoma-Association between Delayed Diagnosis, Altered Clinical Manifestations, and Prognosis.

BACKGROUND: Intracranial germinoma is a rare malignant neoplasm of the central nervous system (CNS) that occurs in children and young adults. The aim of our study was to assess the initial manifestation of the disease, and to find differences in outcomes dependent on time of diagnosis. METHODS: The study group consisted of 35 consecutive patients (adults and children) who were treated for intracranial germinoma with radiotherapy at a tertiary centre, and their data were retrospectively collected. We evaluated time from the first symptoms to diagnosis and divided patients into early and delayed diagnosis groups. Delayed diagnosis has been defined as the time from initial presentation to final diagnosis longer than six months. RESULTS: A total of 17 (48.6%) of the patients had delayed diagnoses. Patient survival data spanned a median of six (interquartile range 3-12) years. At the time of the diagnosis, patients presented exclusively neurological symptoms in 16 (45.7%) cases, exclusively endocrinological symptoms in five (14.3%) cases, and mixed symptoms in the remaining cases (n = 14; 40.0%). Patients with neurological symptoms had shorter time (p < 0.001) from first symptoms to the final diagnosis (5.91 months) than in patients without them (19.44 months). The delayed diagnosis group presented significantly smaller tumour size (mean maximal dimension 2.35 cm) compared to early diagnosis group (3.1 cm). The 5-year and 10-year survival rates of our patients were 94.3% and 83.4%, respectively. Patients with a delayed diagnosis (n = 17) had a significantly worse (p = 0.02) 10-year OS (63%) compared to the early diagnosis group (n = 18; OS = 100%). Importantly, in five patients (14.29%), initial manifestation occurred before radiological signs of the disease. CONCLUSION: Our study stresses the need for timely diagnosis in intracranial germinoma, as a delay has a significant impact on the prognosis. In particular, if the tumour is small or causes exclusively endocrinological symptoms, the diagnosis may be difficult and delayed.

A Systematic Review of miRNA and cfDNA as Potential Biomarkers for Liquid Biopsy in Myocarditis and Inflammatory Dilated Cardiomyopathy.

Myocarditis and inflammatory dilated cardiomyopathy are cardiac diseases leading to heart failure. Liquid biopsy is a concept of replacing traditional biopsy with specialized blood tests. The study aim was to summarize and assess the usefulness of microRNAs and circulating free DNA as biomarkers of myocardial inflammation. For this systematic review, we searched Scopus, Embase, Web of Science, and PubMed. All studies measuring microRNAs in serum/plasma/cardiac tissue or circulating free DNA during myocarditis and non-ischemic dilated cardiomyopathy in humans in which healthy subjects or another cardiac disease served as a comparator were included. Data were extracted and miRNAs were screened and assessed using a scale created in-house. Then, highly graded miRNAs were assessed for usability as liquid biopsy biomarkers. Of 1185 records identified, 56 were eligible and 187 miRNAs were found. We did not identify any studies measuring circulating free DNA. In total, 24 of the screened miRNAs were included in the final assessment, 3 of which were selected as the best and 3 as potential candidates. We were not able to assess the risk of bias and the final inclusion decision was made by consensus. Serum levels of three miRNAs-miR-Chr8:96, miR-155, and miR-206-are the best candidates for myocardial inflammation liquid biopsy panel. Further studies are necessary to prove their role, specificity, and sensitivity.

A network meta-analysis on the comparative effect of nutraceuticals on lipid profile in adults.

It is estimated that 2.6 million deaths worldwide can be attributed to hypercholesterolemia. The main reason for non-adherence to statin therapy are the statin-associated muscle symptoms (including nocebo/drucebo effect). In this case, apart from ezetimibe, nutraceuticals are prescribed. We aimed to assess the comparative efficacy of different nutraceuticals in terms of lowering low density lipoprotein cholesterol (LDL-C) and improving lipid profile. Electronic and hand searches were performed until February 2021. The inclusion criteria were the following: (1) randomized trial with any of the reportedly LDL-C lowering nutraceutical: artichoke, berberine, bergamot, garlic, green tea extract, plant sterols/stanols, policosanols, red yeast rice (RYR), silymarin or spirulina. (2) outcome either LDL-C (primary outcome), total cholesterol (TC), high density lipoprotein cholesterol (HDL-C) or serum triglycerides (TG). Random effects network meta-analysis (NMA) was performed to rank the effect of each intervention using frequentist approach. Finally, a total of 131 trials enrolling 13,062 participants were included. All analysed nutraceuticals except for policosanols were more effective in lowering LDL-C (-1.21 [-46.8 mg/dL] to -0.17 [-6.6 mg/dL] mmol/l reduction) and TC (-1.75 [-67.7 mg/dL] to -0.18 [7 mg/dL] mmol/l reduction) than placebo/no intervention. The most effective approaches in terms of LDL-C- and TC-lowering were bergamot and RYR (-1.21 [-46.8 mg/dl] and -0.94 [-36.4 mg/dl] mmol/l) reduction respectively. In conclusion, bergamot and RYR appear to be the most effective nutraceuticals in terms of LDL-C and TC reduction. Evidence for bergamot effect was based on relatively small study group and may require further investigations. Policosanols have no effect on the lipid profile.

The Reassessed Potential of SARS-CoV-2 Attenuation for COVID-19 Vaccine Development-A Systematic Review.

Live-attenuated SARS-CoV-2 vaccines received relatively little attention during the COVID-19 pandemic. Despite this, several methods of obtaining attenuated coronaviruses are known. In this systematic review, the strategies of coronavirus attenuation, which may potentially be applied to SARS-CoV-2, were identified. PubMed, Scopus, Web of Science and Embase databases were searched to identify relevant articles describing attenuating mutations tested in vivo. In case of coronaviruses other than SARS-CoV-2, sequence alignment was used to exclude attenuating mutations that cannot be applied to SARS-CoV-2. Potential immunogenicity, safety and efficacy of the attenuated SARS-CoV-2 vaccine were discussed based on animal studies data. A total of 27 attenuation strategies, used to create 101 different coronaviruses, have been described in 56 eligible articles. The disruption of the furin cleavage site in the SARS-CoV-2 spike protein was identified as the most promising strategy. The replacement of core sequences of transcriptional regulatory signals, which prevents recombination with wild-type viruses, also appears particularly advantageous. Other important attenuating mutations encompassed mostly the prevention of evasion of innate immunity. Sufficiently attenuated coronaviruses typically caused no meaningful disease in susceptible animals and protected them from challenges with virulent virus. This indicates that attenuated COVID-19 vaccines may be considered as a potential strategy to fight the threat posed by SARS-CoV-2.

"Obesity and Insulin Resistance" Is the Component of the Metabolic Syndrome Most Strongly Associated with Oxidative Stress.

Metabolic syndrome (MS) is not a homogeneous entity, but this term refers to the coexistence of factors that increase the risk for the development of type 2 diabetes and cardiovascular disease. There are different versions of the criteria for the diagnosis of MS, which makes the population of patients diagnosed with MS heterogeneous. Research to date shows that MS is associated with oxidative stress (OS), but it is unclear which MS component is most strongly associated with OS. The purpose of the study was to investigate the relationship between the parameters of OS and the presence of individual elements of MS in young adults, as well as to identify the components of MS by means of principal components analysis (PCA) and to investigate how the parameters of OS correlate with the presence of individual components. The study included 724 young adults with or without a family history of coronary heart disease (population of the MAGNETIC study). Blood samples were taken from the participants of the study to determine peripheral blood counts, biochemical parameters, and selected parameters of OS. In addition, blood pressure and anthropometric parameters were measured. In subjects with MS, significantly lower activity of superoxide dismutase (SOD), copper- and zinc-containing SOD (CuZnSOD), and manganese-containing SOD (MnSOD) were found, along with significantly higher total antioxidant capacity (TAC) and significantly lower concentration of thiol groups per gram of protein (PSH). We identified three components of MS by means of PCA: "Obesity and insulin resistance", "Dyslipidemia", and "Blood pressure", and showed the component "Obesity and insulin resistance" to have the strongest relationship with OS. In conclusion, we documented significant differences in some parameters of OS between young adults with and without MS. We showed that "Obesity and insulin resistance" is the most important component of MS in terms of relationship with OS.