The prevalence of centenarians, people who lived 100 years and longer, is steadily growing in the last decades. This exceptional longevity is based on multifaceted processes influenced by a combination of intrinsic and extrinsic factors such as sex, (epi-)genetic factors, gut microbiota, cellular metabolism, exposure to oxidative stress, immune status, cardiovascular risk factors, environmental factors, and lifestyle behavior. Epidemiologically, the incidence rate of cardiovascular diseases is reduced in healthy centenarians along with late onset of age-related diseases compared with the general aged population. Understanding the mechanisms that affect vascular ageing in centenarians and the underlying factors could offer valuable insights for developing strategies to improve overall healthy life span in the elderly. This review discusses these key factors influencing vascular ageing and how their modulation could foster healthy longevity.

• MeSH
• Longevity * physiology   MeSH
• Cardiovascular Diseases physiopathology   epidemiology   MeSH
• Humans MeSH
• Oxidative Stress physiology   MeSH
• Risk Factors MeSH
• Aged, 80 and over MeSH
• Aging * physiology   MeSH
• Gastrointestinal Microbiome physiology   MeSH
• Healthy Aging physiology   MeSH
• Life Style MeSH
• Check Tag
• Humans MeSH
• Male MeSH
• Aged, 80 and over MeSH
• Female MeSH
• Publication type
• Journal Article MeSH
• Review MeSH

PURPOSE: Missense de novo variants in CACNA1G, which encodes the Cav3.1 T-type calcium channel, have been associated with a severe, early-onset form of cerebellar disorder with neurodevelopmental deficits (SCA42ND). We explored a large series of pediatric cases carrying heterozygous variants in CACNA1G to further characterize genotype-phenotype correlations in SCA42ND. METHODS: We describe 19 patients with congenital CACNA1G-variants, including 6 new heterozygotes of the recurrent SCA42ND variants, p.(Ala961Thr) and p.(Met1531Val), and 8 unreported variants, including 7 missense variants, mainly de novo. We carried out genetic and structural analyses of all variants. Patch-clamp recordings were performed to measure their channel activity. RESULTS: We provide a consolidated clinical description for the patients carrying p.(Ala961Thr) and p.(Met1531Val). The new variants associated with the more severe phenotypes are found in the Cav3.1 channel intracellular gate. Calcium currents of these Cav3.1 variants showed slow inactivation and deactivation kinetics and an increase in window current, supporting a gain of channel activity. On the contrary, the p.(Met197Arg) variant (IS4-S5 loop) resulted in a loss of channel activity. CONCLUSION: This detailed description of several de novo missense pathogenic variants in CACNA1G, including 13 previously reported cases, supports a clinical spectrum of congenital CACNA1G syndrome beyond spinocerebellar ataxia.

• MeSH
• Child MeSH
• Phenotype * MeSH
• Genetic Association Studies MeSH
• Heterozygote MeSH
• Infant MeSH
• Humans MeSH
• Mutation, Missense * genetics   MeSH
• Adolescent MeSH
• Neurodevelopmental Disorders * genetics   pathology   MeSH
• Child, Preschool MeSH
• Calcium Channels, T-Type * genetics   metabolism   MeSH
• Check Tag
• Child MeSH
• Infant MeSH
• Humans MeSH
• Adolescent MeSH
• Male MeSH
• Child, Preschool MeSH
• Female MeSH
• Publication type
• Journal Article MeSH

AIMS: Liver cytochromes (CYPs) play an important role in drug metabolism but display a large interindividual variability resulting both from genetic and environmental factors. Most drug dose adjustment guidelines are based on genetics performed in healthy volunteers. However, hospitalized patients are not only more likely to be the target of new prescriptions and drug treatment modifications than healthy volunteers, but will also be more subject to polypharmacy, drug-drug interactions, or to suffer from disease or inflammation affecting CYP activities. METHODS: We compared predicted phenotype based on genetic data and measured phenotype using the Geneva cocktail to determine the extent of drug metabolizing enzyme variability in a large population of hospitalized patients (>500) and healthy young volunteers (>300). We aimed to assess the correlation between predicted and measured phenotype in the two populations. RESULTS: We found that, even in cases where the genetically predicted metabolizer group correlates well with measured CYP activity at group level, this prediction lacks accuracy for the determination of individual metabolizer capacities. Drugs can have a profound impact on CYP activity, but even after combining genetic and drug treatment information, the activity of a significant proportion of extreme metabolizers could not be explained. CONCLUSIONS: Our results support the use of measured metabolic ratios in addition to genotyping for accurate determination of individual metabolic capacities to guide personalized drug prescription.

• MeSH
• Adult MeSH
• Phenotype MeSH
• Genotype MeSH
• Hospitalization MeSH
• Pharmaceutical Preparations metabolism   MeSH
• Drug Interactions MeSH
• Middle Aged MeSH
• Humans MeSH
• Young Adult MeSH
• Aged MeSH
• Cytochrome P-450 Enzyme System * genetics   metabolism   MeSH
• Healthy Volunteers MeSH
• Check Tag
• Adult MeSH
• Middle Aged MeSH
• Humans MeSH
• Young Adult MeSH
• Male MeSH
• Aged MeSH
• Female MeSH
• Publication type
• Journal Article MeSH

Cardiac involvement (CI) in phosphomannomutase 2-congenital disorders of glycosylation (PMM2-CDG) is part of the multisystemic presentation contributing to high mortality rates. The most common cardiac manifestations are pericardial effusion, cardiomyopathy, and structural heart defects. A genotype-phenotype correlation with organ involvement has not yet been described. We analyzed clinical, biochemical, and molecular genetic data of 222 patients from eight European centers and characterized the natural course of patients with CI. Fifty-seven patients (45 children) presented with CI, of whom 24 died (median age 21 months, standard deviation 49.8). Pericardial effusion was the most frequent manifestation (55.4%), occurring mostly within the first 6 months of life. The most common pathogenic variants in patients with CI were p.(Arg141His) in 74%, followed by p.(Val231Met) in 36%, which is 3.5 times higher than in PMM2-CDG patients without CI (p < 0.0001). Twenty-one out of 36 patients with p.(Val231Met) had CI; among them, 15 died, compared to 33 out of 166 patients without p.(Val231Met) who had CI (p < 0.0001). Nine out of 33 patients died (p = 0.0015), indicating greater clinical severity. Furthermore, the p.(Val231Met) variant is predominant in Eastern Europe, suggesting a founder effect. Cardiac complications in PMM2-CDG patients are common and serious. The variant p.(Val231Met) profoundly influences the extent of CI and mortality rates. Therefore, we recommend cardiac surveillance be included in the follow-up protocols for PMM2-CDG.

• MeSH
• Child MeSH
• Phenotype * MeSH
• Phosphotransferases (Phosphomutases) * genetics   deficiency   MeSH
• Genetic Association Studies MeSH
• Cardiomyopathies genetics   MeSH
• Infant MeSH
• Humans MeSH
• Adolescent MeSH
• Mutation MeSH
• Infant, Newborn MeSH
• Child, Preschool MeSH
• Severity of Illness Index MeSH
• Congenital Disorders of Glycosylation * genetics   MeSH
• Check Tag
• Child MeSH
• Infant MeSH
• Humans MeSH
• Adolescent MeSH
• Male MeSH
• Infant, Newborn MeSH
• Child, Preschool MeSH
• Female MeSH
• Publication type
• Journal Article MeSH
• Multicenter Study MeSH
• Research Support, Non-U.S. Gov't MeSH
• Geographicals
• Europe MeSH

BACKGROUND: The current requirement is to establish the preoperative diagnosis accurately as possible and to achieve an adequate extent of surgery. The aim of this study was to define the preoperative clinical and molecular genetic risks of malignancy in indeterminate thyroid nodules (Bethesda III and IV) and to determine their impact on the surgical strategy. METHODS: Prospectively retrospective analysis of 287 patients provided the basis of preoperative laboratory examination, sonographic stratification of malignancy risks and cytological findings. Molecular tests focused on pathogenic variants of genes associated with thyroid oncogenesis in cytologically indeterminate nodules (Bethesda III and IV). The evaluation included clinical risk factors: positive family history, radiation exposure and growth in size and/or number of nodules. RESULTS: Preoperative FNAB detected 52 cytologically indeterminate nodules (28.7%) out of 181 patients. Postoperative histopathological examination revealed malignancy in 12 cases (23.7%) and there was no significant difference between Bethesda III and IV categories (P=0.517). Clinical risk factors for malignancy were found in 32 patients (61.5%) and the presence of at least one of them resulted in a clearly higher incidence of malignancy than their absence (31.3% vs. 10.0%, respectively). Pathogenic variants of genes were detected in 12/49 patients in Bethesda III and IV, and in 4 cases (33.3%) thyroid carcinoma was revealed. The rate of malignancies was substantially higher in patients with pathogenic variants than in those without (33.3% vs. 16.2%, respectively). CONCLUSIONS: Our experience implies that molecular genetic testing is one of several decision factors. We will continue to monitor and enlarge our patient cohort to obtain long-term follow-up data.

• MeSH
• Adult MeSH
• Genetic Testing MeSH
• Middle Aged MeSH
• Humans MeSH
• Thyroid Neoplasms * genetics   MeSH
• Retrospective Studies MeSH
• Risk Factors MeSH
• Aged MeSH
• Biopsy, Fine-Needle MeSH
• Thyroid Nodule * genetics   pathology   MeSH
• Check Tag
• Adult MeSH
• Middle Aged MeSH
• Humans MeSH
• Male MeSH
• Aged MeSH
• Female MeSH
• Publication type
• Journal Article MeSH

OBJECTIVES: Serum levels of uric acid (S-UA) are influenced by the interaction of genetic and environmental factors; detailed studies of hyperuricemia in children are rare. This retrospective study aimed to analyze the causes, risk factors, and therapeutic approaches associated with the development of hyperuricemia in childhood. METHODS: In a single-center study, serum uric acid levels were analyzed in 33,900 samples from 13,890 children and adolescents<19 years (6760 girls and 7130 boys) obtained between 2013 and 2023. Hyperuricemia was defined as S-UA>370μmol/L (6.22mg/dL) in girls and>420μmol/L (7.06mg/dL) in boys; mild hyperuricemia was defined as 370-420μmol/L in boys<13 years. RESULTS: In the analyzed group, hyperuricemia was found in 1753 patients (12.6%), including 586 girls and 864 boys; mild hyperuricemia was found in 303 boys<13 years. The most common associated conditions were obesity with body mass index>95th percentile (27.8% of girls, 26.3% of boys) and chronic kidney disease (18.6% of boys, 11.4% of girls). Hyperuricemia was also relatively common in children with connective tissue disorders (10.6%) or different inherited metabolic disorders (10.7%). Transitory hyperuricemia was found in 19.1% of girls and 10.1% of boys with acute gastroenteritis. Urate-lowering therapy was used in 73 children and adolescents with severe hyperuricemia (S-UA 556±107μmol/L, fraction excretion of UA 3.27±1.98%). Eight treated children had chronic kidney disease, nine were extremely obese, one had combined antiepileptic therapy, and 55 had inherited metabolic diseases, including 26 children with disorders of purine metabolism. The initial daily dose of allopurinol (50-100mg) normalized the S-UA (350±80μmol/L) in a majority of children, except for extremely obese adolescents (weight 98-149kg) where the dose had to be increased to 200-300mg. CONCLUSIONS: Asymptomatic hyperuricemia is a relatively common biochemical finding in pediatric clinical practice. The etiology of hyperuricemia should be carefully analyzed, and the value of individualized hyperuricemia management and the eventual benefits of urate-lowering therapy in children must be carefully considered.

• MeSH
• Child MeSH
• Hyperuricemia * blood   epidemiology   diagnosis   MeSH
• Infant MeSH
• Uric Acid * blood   MeSH
• Humans MeSH
• Adolescent MeSH
• Child, Preschool MeSH
• Retrospective Studies MeSH
• Risk Factors MeSH
• Severity of Illness Index MeSH
• Check Tag
• Child MeSH
• Infant MeSH
• Humans MeSH
• Adolescent MeSH
• Male MeSH
• Child, Preschool MeSH
• Female MeSH
• Publication type
• Journal Article MeSH

BACKGROUND: Increased lung cancer risks for low socioeconomic status (SES) groups are only partially attributable to smoking habits. Little effort has been made to investigate the persistent risks related to low SES by quantification of potential biases. METHODS: Based on 12 case-control studies, including 18 centers of the international SYNERGY project (16,550 cases, 20,147 controls), we estimated controlled direct effects (CDE) of SES on lung cancer via multiple logistic regression, adjusted for age, study center, and smoking habits and stratified by sex. We conducted mediation analysis by inverse odds ratio weighting to estimate natural direct effects and natural indirect effects via smoking habits. We considered misclassification of smoking status, selection bias, and unmeasured mediator-outcome confounding by genetic risk, both separately and by multiple quantitative bias analyses, using bootstrap to create 95% simulation intervals (SI). RESULTS: Mediation analysis of lung cancer risks for SES estimated mean proportions of 43% in men and 33% in women attributable to smoking. Bias analyses decreased the direct effects of SES on lung cancer, with selection bias showing the strongest reduction in lung cancer risk in the multiple bias analysis. Lung cancer risks remained increased for lower SES groups, with higher risks in men (fourth vs. first [highest] SES quartile: CDE, 1.50 [SI, 1.32, 1.69]) than women (CDE: 1.20 [SI: 1.01, 1.45]). Natural direct effects were similar to CDE, particularly in men. CONCLUSIONS: Bias adjustment lowered direct lung cancer risk estimates of lower SES groups. However, risks for low SES remained elevated, likely attributable to occupational hazards or other environmental exposures.

• MeSH
• Mediation Analysis * MeSH
• Adult MeSH
• Smoking * epidemiology   MeSH
• Middle Aged MeSH
• Humans MeSH
• Logistic Models MeSH
• Lung Neoplasms * epidemiology   MeSH
• Odds Ratio MeSH
• Risk Factors MeSH
• Aged MeSH
• Social Class * MeSH
• Case-Control Studies MeSH
• Bias * MeSH
• Check Tag
• Adult MeSH
• Middle Aged MeSH
• Humans MeSH
• Male MeSH
• Aged MeSH
• Female MeSH
• Publication type
• Journal Article MeSH

BACKGROUND: Bipolar disorder (BD) is a complex and heterogeneous psychiatric disorder. It has been suggested that neurodevelopmental factors contribute to the etiology of BD, but a specific neurodevelopmental phenotype (NDP) of the disorder has not been identified. Our objective was to define and characterize an NDP in BD and validate its associations with clinical outcomes, polygenic risk scores, and treatment responses. METHODS: We analyzed the FondaMental Advanced Centers of Expertise for Bipolar Disorders cohort of 4468 patients with BD, a validation cohort of 101 patients with BD, and 2 independent replication datasets of 274 and 89 patients with BD. Using factor analyses, we identified a set of criteria for defining NDP. Next, we developed a scoring system for NDP load and assessed its association with prognosis, neurological soft signs, polygenic risk scores for neurodevelopmental disorders, and responses to treatment using multiple regressions, adjusted for age and gender with bootstrap replications. RESULTS: Our study established an NDP in BD consisting of 9 clinical features: advanced paternal age, advanced maternal age, childhood maltreatment, attention-deficit/hyperactivity disorder, early onset of BD, early onset of substance use disorders, early onset of anxiety disorders, early onset of eating disorders, and specific learning disorders. Patients with higher NDP load showed a worse prognosis and increased neurological soft signs. Notably, these individuals exhibited a poorer response to lithium treatment. Furthermore, a significant positive correlation was observed between NDP load and polygenic risk score for attention-deficit/hyperactivity disorder, suggesting potential overlapping genetic factors or pathophysiological mechanisms between BD and attention-deficit/hyperactivity disorder. CONCLUSIONS: The proposed NDP constitutes a promising clinical tool for patient stratification in BD.

• MeSH
• Bipolar Disorder * genetics   MeSH
• Adult MeSH
• Phenotype * MeSH
• Attention Deficit Disorder with Hyperactivity genetics   MeSH
• Cohort Studies MeSH
• Middle Aged MeSH
• Humans MeSH
• Young Adult MeSH
• Multifactorial Inheritance genetics   MeSH
• Neurodevelopmental Disorders genetics   MeSH
• Check Tag
• Adult MeSH
• Middle Aged MeSH
• Humans MeSH
• Young Adult MeSH
• Male MeSH
• Female MeSH
• Publication type
• Journal Article MeSH

The Global Alliance for Genomics and Health (GA4GH) Phenopacket Schema was released in 2022 and approved by ISO as a standard for sharing clinical and genomic information about an individual, including phenotypic descriptions, numerical measurements, genetic information, diagnoses, and treatments. A phenopacket can be used as an input file for software that supports phenotype-driven genomic diagnostics and for algorithms that facilitate patient classification and stratification for identifying new diseases and treatments. There has been a great need for a collection of phenopackets to test software pipelines and algorithms. Here, we present Phenopacket Store. Phenopacket Store v.0.1.19 includes 6,668 phenopackets representing 475 Mendelian and chromosomal diseases associated with 423 genes and 3,834 unique pathogenic alleles curated from 959 different publications. This represents the first large-scale collection of case-level, standardized phenotypic information derived from case reports in the literature with detailed descriptions of the clinical data and will be useful for many purposes, including the development and testing of software for prioritizing genes and diseases in diagnostic genomics, machine learning analysis of clinical phenotype data, patient stratification, and genotype-phenotype correlations. This corpus also provides best-practice examples for curating literature-derived data using the GA4GH Phenopacket Schema.

• MeSH
• Algorithms MeSH
• Databases, Genetic MeSH
• Phenotype * MeSH
• Genomics * methods   MeSH
• Humans MeSH
• Software * MeSH
• Check Tag
• Humans MeSH
• Publication type
• Journal Article MeSH

BACKGROUND: Colorectal cancer (CRC) is a common, fatal cancer. Identifying subgroups who may benefit more from intervention is of critical public health importance. Previous studies have assessed multiplicative interaction between genetic risk scores and environmental factors, but few have assessed additive interaction, the relevant public health measure. METHODS: Using resources from CRC consortia, including 45,247 CRC cases and 52,671 controls, we assessed multiplicative and additive interaction (relative excess risk due to interaction, RERI) using logistic regression between 13 harmonized environmental factors and genetic risk score, including 141 variants associated with CRC risk. RESULTS: There was no evidence of multiplicative interaction between environmental factors and genetic risk score. There was additive interaction where, for individuals with high genetic susceptibility, either heavy drinking (RERI = 0.24, 95% confidence interval [CI] = 0.13, 0.36), ever smoking (0.11 [0.05, 0.16]), high body mass index (female 0.09 [0.05, 0.13], male 0.10 [0.05, 0.14]), or high red meat intake (highest versus lowest quartile 0.18 [0.09, 0.27]) was associated with excess CRC risk greater than that for individuals with average genetic susceptibility. Conversely, we estimate those with high genetic susceptibility may benefit more from reducing CRC risk with aspirin/nonsteroidal anti-inflammatory drugs use (-0.16 [-0.20, -0.11]) or higher intake of fruit, fiber, or calcium (highest quartile versus lowest quartile -0.12 [-0.18, -0.050]; -0.16 [-0.23, -0.09]; -0.11 [-0.18, -0.05], respectively) than those with average genetic susceptibility. CONCLUSIONS: Additive interaction is important to assess for identifying subgroups who may benefit from intervention. The subgroups identified in this study may help inform precision CRC prevention.

• MeSH
• Diet MeSH
• Adult MeSH
• Genetic Predisposition to Disease * MeSH
• Body Mass Index MeSH
• Gene-Environment Interaction * MeSH
• Polymorphism, Single Nucleotide MeSH
• Colorectal Neoplasms * genetics   epidemiology   MeSH
• Smoking adverse effects   MeSH
• Middle Aged MeSH
• Humans MeSH
• Logistic Models MeSH
• Alcohol Drinking MeSH
• Risk Factors MeSH
• Aged MeSH
• Case-Control Studies MeSH
• Check Tag
• Adult MeSH
• Middle Aged MeSH
• Humans MeSH
• Male MeSH
• Aged MeSH
• Female MeSH
• Publication type
• Journal Article MeSH