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Background: The incidence of autoimmune diseases and breast cancer is significantly higher in women compared to men. Previous observational studies have not conclusively determined the relationship between these two conditions. This study utilizes the Mendelian randomization approach to investigate the genetic association between autoimmune diseases and breast cancer. Method: Two-sample Mendelian randomization was conducted on a European population using the GWAS database. The inverse variance-weighted method served as the primary analytical approach. The MR-PRESSO test was applied to detect horizontal pleiotropy. To ensure result robustness, the FDR correction method was used. Result: The study revealed that Sjögren's syndrome lowers the overall risk of breast cancer (OR 0.96, 95% CI [0.93–0.99], p = 0.011). Idiopathic inflammatory myopathy shows a protective effect against overall breast cancer (OR 0.98, 95% CI [0.97–0.99], p = 0.035). An association was identified between rheumatoid arthritis and overall breast cancer (OR 0.98, 95% CI [0.96–1.00], p = 0.050). No causal link was found between systemic lupus erythematosus, systemic sclerosis, and overall breast cancer. The study also suggests that Sjögren's syndrome, rheumatoid arthritis, and idiopathic inflammatory myopathy might reduce the risk of developing HER + breast cancer. Specifically, Sjögren's syndrome (OR = 0.90, 95% CI [0.83–0.98], p = 0.02), rheumatoid arthritis (OR = 0.94, 95% CI [0.91–0.98], p = 0.006), and idiopathic inflammatory myopathy (OR = 0.96, 95% CI [0.93–0.99], p = 0.036). Additionally, systemic lupus erythematosus was found to lower the risk of HER- breast cancer (OR = 0.95, 95% CI [0.91–0.99], p = 0.046). The study did not establish a causal relationship between these five autoimmune diseases and ER + or ER- breast cancer. Conclusion: This study found that autoimmune diseases may act as protective factors against breast cancer risk. [ABSTRACT FROM AUTHOR]

Abstract Background The incidence of autoimmune diseases and breast cancer is significantly higher in women compared to men. Previous observational studies have not conclusively determined the relationship between these two conditions. This study utilizes the Mendelian randomization approach to investigate the genetic association between autoimmune diseases and breast cancer. Method Two-sample Mendelian randomization was conducted on a European population using the GWAS database. The inverse variance-weighted method served as the primary analytical approach. The MR-PRESSO test was applied to detect horizontal pleiotropy. To ensure result robustness, the FDR correction method was used. Result The study revealed that Sjögren’s syndrome lowers the overall risk of breast cancer (OR 0.96, 95% CI [0.93–0.99], p = 0.011). Idiopathic inflammatory myopathy shows a protective effect against overall breast cancer (OR 0.98, 95% CI [0.97–0.99], p = 0.035). An association was identified between rheumatoid arthritis and overall breast cancer (OR 0.98, 95% CI [0.96–1.00], p = 0.050). No causal link was found between systemic lupus erythematosus, systemic sclerosis, and overall breast cancer. The study also suggests that Sjögren’s syndrome, rheumatoid arthritis, and idiopathic inflammatory myopathy might reduce the risk of developing HER + breast cancer. Specifically, Sjögren’s syndrome (OR = 0.90, 95% CI [0.83–0.98], p = 0.02), rheumatoid arthritis (OR = 0.94, 95% CI [0.91–0.98], p = 0.006), and idiopathic inflammatory myopathy (OR = 0.96, 95% CI [0.93–0.99], p = 0.036). Additionally, systemic lupus erythematosus was found to lower the risk of HER- breast cancer (OR = 0.95, 95% CI [0.91–0.99], p = 0.046). The study did not establish a causal relationship between these five autoimmune diseases and ER + or ER- breast cancer. Conclusion This study found that autoimmune diseases may act as protective factors against breast cancer risk.

Background: Prostate cancer (PCa) is a leading cause of cancer-related deaths in European men, emphasizing the urgent need for effective risk assessment strategies. The TP53 gene, a tumor suppressor gene frequently mutated in cancer, commonly harbors the rs1042522 single nucleotide polymorphism (SNP), known as the P72R SNP, which may influence PCa susceptibility. This study investigated the prevalence of the P72R SNP in European Caucasian PCa samples and its association with PCa risk. Methods: Genotyping was conducted on 12 hormone-naïve aggressive PCa cultures (hnPCs) from untreated patients (Gleason ≥8), 11 radical prostatectomies (RP), and 94 serum samples using DNA Sanger sequencing and melting curve analysis. Comparative analysis utilized data from the GnomAD database's European Caucasian non-cancer population. Results: Our results demonstrate a significantly higher frequency of the P72R SNP in PCa samples and serums compared to the general European non-cancer population. A robust and statistically significant association (p < 0.0001) between the SNP and prostate cancer risk was identified, with an odds ratio of 7.937 (95% CI 5.37-11.00). Notably, the G allele (R72) showed a pronounced prevalence in high Gleason score (≥8) patients, although statistical significance was not reached. These results highlight a potential association with undifferentiated and malignant PCa lesions. Conclusion: The compelling association between the P72R SNP and prostate cancer risk underscores the potential utility of this marker for the early identification of patients at risk of aggressive metastatic prostate cancer. This insight could empower further research to intervene at an early stage by offering enhanced opportunities for timely and targeted interventions. [ABSTRACT FROM AUTHOR]

Objective: The present study aimed to explore the potential causal relationship between childhood asthma and chronic obstructive pulmonary disease (COPD) in European and East Asian populations with Mendelian randomization (MR) analysis. Methods: Based on summary data from genome-wide association studies, single nucleotide polymorphisms (SNPs) associated with childhood asthma were used as instrumental variables. The MR analysis employed the inverse variance weighting, MR-Egger regression and weighted median method to estimate the causal effect between childhood asthma and COPD in European and East Asian populations. Cochran's Q test, MR-PRESSO method and MR-Egger intercept were used to detect heterogeneity, outliers and horizontal pleiotropy, respectively. Leave-one-out analysis applied to assess the effect of removing individual SNP on the estimate of causal association. Results: The MR analysis showed no genetic causal relationship between childhood asthma and COPD. The results of Cochran's Q test, MR-PRESSO and MR-Egger regression indicated the absence of heterogeneity, outliers and horizontal pleiotropy, respectively. Leave-one-out analysis showed no significant difference in the statistical results after exclusion of single SNPs. Conclusions: The MR analysis revealed that there is no causal relationship between childhood asthma and COPD at the genetic level in both European and East Asian populations. Additionally, due to the presence of shared confounding factors and pathogenic genes, further research is needed to comprehensively assess the relationship between childhood asthma and COPD.

Previous experimental and observational studies showed that serum uric acid (SUA) was associated with deep venous thrombosis (DVT), but the causal relationship is unclear. This study aimed to explore the potential causal association between SUA and DVT. We designed a two-sample Mendelian randomization (MR) analysis by using summary-level data from large genome-wide association studies performed in European individuals. A total of 14 SUA-related single-nucleotide polymorphisms (SNPs) (P value < 5 × 10–8) were identified as instrumental variables. The inverse variance weighted method was used as the primary method to compute the odds ratios (ORs) and 95 % confidence intervals (95 % CIs) for per standard deviation increase in SUA. MR Egger, weighted median, weighted mode, and simple mode were also applied to test the robustness of the results. We found no significant causal effects of serum uric acid on deep venous thrombosis (odds ratio [OR]: 1.000, 95 % confidence interval [CI]: 0.998–1.002, p = 0.78) by using inverse variance weighted. MR analyses based on other methods showed similar results. There was no potential causal associations between higher genetically predicted SUA levels and increased risk of deep venous thrombosis. Further, MR studies with more valid SNPs and more DVT cases are needed. Validation of the findings is also recommended. • The causal role of serum uric acid on deep venous thrombosis remains unclear. • Mendelian randomization was used to appraise the causality. • This study showed no causal effect of serum uric acid on deep venous thrombosis. [ABSTRACT FROM AUTHOR]

BackgroundProstate cancer (PCa) is a leading cause of cancer-related deaths in European men, emphasizing the urgent need for effective risk assessment strategies. The TP53 gene, a tumor suppressor gene frequently mutated in cancer, commonly harbors the rs1042522 single nucleotide polymorphism (SNP), known as the P72R SNP, which may influence PCa susceptibility. This study investigated the prevalence of the P72R SNP in European Caucasian PCa samples and its association with PCa risk.MethodsGenotyping was conducted on 12 hormone-naïve aggressive PCa cultures (hnPCs) from untreated patients (Gleason ≥8), 11 radical prostatectomies (RP), and 94 serum samples using DNA Sanger sequencing and melting curve analysis. Comparative analysis utilized data from the GnomAD database’s European Caucasian non-cancer population.ResultsOur results demonstrate a significantly higher frequency of the P72R SNP in PCa samples and serums compared to the general European non-cancer population. A robust and statistically significant association (p < 0.0001) between the SNP and prostate cancer risk was identified, with an odds ratio of 7.937 (95% CI 5.37-11.00). Notably, the G allele (R72) showed a pronounced prevalence in high Gleason score (≥8) patients, although statistical significance was not reached. These results highlight a potential association with undifferentiated and malignant PCa lesions.ConclusionThe compelling association between the P72R SNP and prostate cancer risk underscores the potential utility of this marker for the early identification of patients at risk of aggressive metastatic prostate cancer. This insight could empower further research to intervene at an early stage by offering enhanced opportunities for timely and targeted interventions.

Purpose: To determine the prevalence and risk factors of epiretinal membranes (ERMs) in an adult English population. Methods: The Bridlington Eye Assessment Project is a population-based study of eye disease among residents aged 65 years or older. Comprehensive interviews and ophthalmic examinations were conducted to assess potential risk factors. Digital mydriatic nonstereoscopic 30° colour fundus photography (CFP) was performed. ERMs were classified as primary/idiopathic or secondary on the basis of findings from the ocular examination and the structured questionnaire. Logistic regression models were used to determine the independence of potential risk factors for idiopathic ERMs. Results: In a comprehensive screening of 3588 patients aged over 65, we identified an eye-based prevalence of ERMs of 4.26% and a subject-based prevalence of ERMs of 6.88%. The majority of these cases were idiopathic in nature (90.7%), while 9.3% were secondary ERMs; predominantly, there was a history of cataract surgery (43.5%). No significant correlation between idiopathic ERMs and factors such as age, gender, diabetes, hypertension, a history of stroke, or the presence of AMD was found. Conclusions: The prevalence of ERMs in an elderly English population and the proportion of idiopathic and secondary ERMs are similar to previous reports. However, in elderly patients aged over 65 years, age is not a risk factor for the presence of idiopathic ERMs. The presence of diabetes, hypertension, a history of stroke, and AMD of any grade was not associated with ERMs. [ABSTRACT FROM AUTHOR]

Background: Graves’ disease (GD) and drug eruption are closely associated and frequently observed in the clinical setting. However, it remains unclear whether a causal relationship exists between these two conditions. The aim of the study is to investigate whether GD is causal to drug eruptions using two-sample Mendelian randomization. Methods: We launched a two-sample MR to investigate whether GD is causal to drug eruption using Genome-wide association study (GWAS) summary data from Biobank Japan and FinnGen. Genetic variants were used as instrumental variables to avoid confounding bias. Statistical methods including inverse variance weighted (IVW), weighted median, MR-Egger, and MR-PRESSO were conducted to identify the robustness of the causal effect. Results: Genetically predicted GD may increase the risk of drug eruption by 30.3% (OR=1.303, 95% CI 1.119-1.516, p<0.001) in the Asian population. In European populations, GD may increase the generalized drug eruption by 15.9% (OR=1.159, 95%CI 0.982-1.367, p=0.080). Conclusions: We found GD is potentially causal to drug eruption. This finding expanded the view of the frequently observed co-existence of GD and adverse drug reactions involving the skin. The mechanism remains for further investigation. [ABSTRACT FROM AUTHOR]

Background: The association between coffee/caffeine consumption and obstructive sleep apnea (OSA) risk remains unclear. Purpose: To determine the relationship between coffee/caffeine consumption and the risk of OSA, using the Mendelian randomization (MR) method in the European population. Methods: Two sets of coffee consumption-associated genetic variants were, respectively, extracted from the recent genome-wide meta-analysis (GWMA) and genome-wide association study (GWAS) of coffee consumption. Taking other caffeine sources into account, genetic variants associated with caffeine consumption from tea and plasma caffeine (reflecting total caffeine intake) were also obtained. The inverse variance weighted (IVW) technique was utilized as the primary analysis, supplemented by the MR-Egger, weighted-median, and MR-Pleiotropy RESidual Sum and Outlier (PRESSO) techniques. Leave-one-out (LOO) analysis was performed to assess whether the overall casual estimates were driven by a single SNP. Additional sensitivity analyses were performed using similar methods, while the genetic variants associated with confounders, e.g., body mass index and hypertension, were excluded. Results: The IVW method demonstrated that coffee consumption GWMA (OR: 1.065, 95% CI 0.927–1.224, p = 0.376), coffee consumption GWAS (OR: 1.665, 95% CI 0.932–2.977, p = 0.086), caffeine from tea (OR: 1.198, 95% CI 0.936–1.534, p = 0.151), and blood caffeine levels (OR: 1.054, 95% CI 0.902–1.231, p = 0.508) were unlikely to be associated with the risk of OSA. The other three methods presented similar results, where no significant associations were found. No single genetic variant was driving the overall estimates by the LOO analysis. These findings were also supported by the sensitivity analyses with no confounding genetic variants. Conclusion: Our study found no association between coffee/caffeine consumption and the risk of OSA. [ABSTRACT FROM AUTHOR]

Sex-biased difference in coronavirus disease 2019 (COVID-19) hospitalization has been observed as that male patients tend to be more likely to be hospitalized than female patients. However, due to the insufficient sample size and existed studies that more prioritized to sex-stratified COVID-19 genome-wide association study (GWAS), the searching for sex-biased genetic variants showing differential association signals between sexes with COVID-19 hospitalization was severely hindered. We hypothesized genetic variants would show potentially sex-biased genetic effects on COVID-19 hospitalization if they display significant differential association effect sizes between male and female COVID-19 patients. By integrating two COVID-19 GWASs, including hospitalized COVID-19 patients vs. general population separated into males (case = 1,917 and control = 221,174) and females (case = 1,343 and control = 262,886), we differentiated the association effect sizes of each common single nucleotide polymorphism(SNP) within the two GWASs. Twelve SNPs were suggested to show differential COVID-19 associations between sexes. Further investigation of genes (n = 58) close to these 12 SNPs resulted in the identification of 34 genes demonstrating sex-biased differential expression in at least one GTEx tissue. Finally, 5 SNPs are mapped to 8 genes, including rs1134004 (GADD45G), rs140657166 (TRIM29 and PVRL1), rs148143613 (KNDC1 and STK32C), rs2443615 (PGAP2 and TRIM21), and rs2924725 (CSMD1). The 8 genes display significantly differential gene expression in blood samples derived from COVID-19 patients compared to healthy controls. These genes are potential genetic factors contributing to sex differences in COVID-19 hospitalization and warranted for further functional studies. [ABSTRACT FROM AUTHOR]

Higher body mass index (BMI) has been associated with a higher risk for severe COVID-19 outcomes. The aim of this study was to investigate associations among BMI, underlying health conditions and hospital admission as well as the effects of COVID-19 vaccines in adults aged 50 years and older in Europe using data from the Survey of Health, Ageing and Retirement in Europe (SHARE) which was collected from June to August 2021, shortly after the second wave of the COVID-19 pandemic occurred in Europe. Survey data totalling 1936 individuals were used for statistical analyses to calculate the likelihood of hospitalization due to COVID-19 infection in relation to BMI, sociodemographic factors, comorbidities and COVID vaccination status. Approximately 16% of individuals testing positive for COVID-19 were hospitalized for COVID-19, and over 75% of these hospitalized individuals were either overweight or obese. The likelihood of hospitalization for individuals with obesity was approximately 1.5 times (CI [1.05–2.05]) higher than those with a healthy weight (BMI = 18.5–24.9 kg/m2) after adjusting for BMI, sex and age. After adjusting for sociodemographic factors, vaccination and comorbidities, the likelihood of hospitalization for individuals with obesity was 1.34 times higher than those with a healthy weight (CI [0.94–1.90]). Vaccine uptake was lowest in individuals with obesity (BMI ≥ 30 kg/m2) in all age groups. Individuals who had not received a vaccine were 1.8 times more likely to be hospitalized (CI [1.34–2.30]). Across European regions, obesity is associated with higher odds of hospitalization, and vaccination may be effective to reduce these odds for older adults. [ABSTRACT FROM AUTHOR]

In 2022, the European Food Safety Authority (EFSA) conducted a dietary cumulative risk assessment for active substances of plant protection products on two types of craniofacial alterations: 1) craniofacial alterations due to abnormal skeletal development and 2) head soft tissue alterations and brain neural tube defects. These effects were selected based on developmental biology knowledge and a hypothetical teratogenic process. Cumulative risk assessment was conducted for 14 European populations of women in childbearing age. The dietary cumulative exposure was determined using individual consumption data collected under national food consumption surveys, and the calculations were based on occurrence data collected by Member States under their official monitoring programmes. A rigorous uncertainty analysis was performed using expert knowledge elicitation. Considering all sources of uncertainty, their dependencies, and differences between populations, it was concluded that the total margin of exposure (MOET) resulting from cumulative exposure to residues of pesticides is above 100 for both types of craniofacial alterations and therefore the threshold for regulatory consideration is not exceeded. For the head soft tissue alterations and brain neural tube defects the MOET was even above 500 while for the alterations due to abnormal skeletal development, it was found about as likely as not that the MOET is above 500 in most populations. These results need to be interpreted in the light of the conservatism of the hazard assessment methodology. This review is a summary of the EFSA report on a retrospective cumulative dietary risk assessment of craniofacial alterations by residues of pesticides published in 2022., Competing Interests: Declaration of Competing Interest Authors do not have any interest to declare, (Copyright © 2024 Elsevier Inc. All rights reserved.)

BackgroundThe association between circulating the selenium level and the risk of schizophrenia remains unclear.ObjectiveTo determine the relationship between the circulating selenium level and the risk of schizophrenia, using the Mendelian Randomization method in the European population.MethodsSingle nucleotide polymorphisms (SNPs) associated with the circulating selenium level were identified at p < 5 × 10−8. The inverse variance weighted (IVW) method was used as the principal MR analysis, and MR Egger, weighted median, and MR PRESSO were used to determine the accuracy of IVW results. The Cochran's Q-test and Leave-One-Out sensitivity analysis were performed to evaluate the heterogeneity and stability of genetic variants on schizophrenia.ResultsThe circulating selenium level was associated with decreased risk of schizophrenia by the IVW method (OR: 0.906, 95% CI:0.867–0.947). MR Egger, weighted median, and MR PRESSO methods got similar results. No heterogeneity was detected by the Cochran's Q-test, and no single SNP was driving the overall effect by leave-one-out analysis.ConclusionOur study provides support for the genetic relationship between the circulating selenium level and schizophrenia; the decreased circulating selenium level was associated with an elevated risk of schizophrenia.

Purpose – The purpose of this paper is to estimate the years the European Muslim population will be majority among 30 European countries. Design/methodology/approach – The methodology/approach is to forecast the population of 30 European countries with wavelet analysis combined with the Burg model which fits a pth order autoregressive model to the input signal by minimizing (least squares) the forward and backward prediction errors while constraining the autoregressive parameters to satisfy the Levinson–Durbin recursion, then relies on an infinite impulse response prediction error filter. Three scenarios are considered: the zero-migration scenario where the authors assume that the Muslim population has a higher fertility (one child more per woman, on average) than other Europeans, mirroring a global pattern; a 2017 migration scenario: to the Muslim population obtained in the zero-migration scenario, the authors add a continuous flow of migrants every year based on year 2017; the mid-point migration scenario is obtained by averaging the data of the two previous scenarios. Findings – Among three scenarios, the most likely mid-point migration scenario identifies 13 countries where the Muslim population will be majority between years 2085 and 2215: Cyprus (in year 2085), Sweden (2125), France (2135), Greece (2135), Belgium (2140), Bulgaria (2140), Italy (2175), Luxembourg (2175), the UK (2180), Slovenia (2190), Switzerland (2195), Ireland (2200) and Lithuania (2215). The 17 remaining countries will never reach majority in the next 200 years. Originality/value – The growing Muslim population will change the face of Europe socially, politically and economically. This paper will provide a better insight and understanding of Muslim population dynamics to European governments, policymakers, as well as social and economic planners.

Self-perceived health is a subjective health outcome that summarizes all the health conditions and is widely used in population health studies. Yet, despite its well-known relationship with survival, it is still unclear as to which health conditions are actually taken into account when making an individual assessment of one's own health. The aim of this paper is to assess the influence of four objective health conditions – IADLs, ADLs, chronic diseases, and depression – in predicting self-perceived health among Europeans by age group (50–64 and 65–79) and by sex.Classification trees (J48 algorithm), which pertains to the emerging Machine Learning techniques, were applied to predict self-perceived health according to the four abovementioned objective health conditions of European individuals in the sixth wave of the Survey of Health, Ageing and Retirement in Europe (SHARE) (n = 55,611).The four variables present different degrees of relevance in establishing predictions of self-perceived health values by age and by sex. Before the age of 65, chronic diseases have the greatest importance, while IADL limitations are more important in the 65–79 age group. Likewise, ADL limitations are more important for women free of chronic diseases in the 50–64 age group; however, these differences disappear among women in the older group.There is an evident degree of interplay between the objective health indicators of chronic diseases, ADLs, IADLs, and depression when predicting self-perceived health with a high level of accuracy. This interplay implies that self-perceived health summarizes different health conditions depending on age. Gender differences are only evident for the younger age group, whereas construction of self-perceived is the same for women and men among the older group. Therefore, none of these four indicators on its own is able to totally substitute self-perceived health.

Objective: The present study aimed to explore the potential causal relationship between childhood asthma and chronic obstructive pulmonary disease (COPD) in European and East Asian populations with Mendelian randomization (MR) analysis., Methods: Based on summary data from genome-wide association studies, single nucleotide polymorphisms (SNPs) associated with childhood asthma were used as instrumental variables. The MR analysis employed the inverse variance weighting, MR-Egger regression and weighted median method to estimate the causal effect between childhood asthma and COPD in European and East Asian populations. Cochran's Q test, MR-PRESSO method and MR-Egger intercept were used to detect heterogeneity, outliers and horizontal pleiotropy, respectively. Leave-one-out analysis applied to assess the effect of removing individual SNP on the estimate of causal association., Results: The MR analysis showed no genetic causal relationship between childhood asthma and COPD. The results of Cochran's Q test, MR-PRESSO and MR-Egger regression indicated the absence of heterogeneity, outliers and horizontal pleiotropy, respectively. Leave-one-out analysis showed no significant difference in the statistical results after exclusion of single SNPs., Conclusions: The MR analysis revealed that there is no causal relationship between childhood asthma and COPD at the genetic level in both European and East Asian populations. Additionally, due to the presence of shared confounding factors and pathogenic genes, further research is needed to comprehensively assess the relationship between childhood asthma and COPD., Competing Interests: None., (© 2024 The Author(s).)

Vegan diets, where animal- and all their by-products are excluded from the diet, have gained popularity, especially in the last decade. However, the evaluation of this type of diet has not been well addressed in the scientific literature. This study aimed to investigate the adequacy of vegan diets in European populations and of their macro- and micronutrient intakes compared to World Health Organization recommendations. A systematic search in PubMed, Web of Science, IBSS, Cochrane library and Google Scholar was conducted and 48 studies (12 cohorts and 36 cross-sectional) were included. Regarding macronutrients, vegan diets are lower in protein intake compared with all other diet types. Veganism is also associated with low intake of vitamins B 2 , Niacin (B 3), B 12 , D, iodine, zinc, calcium, potassium, selenium. Vitamin B 12 intake among vegans is significantly lower (0.24–0.49 μg, recommendations are 2.4 μg) and calcium intake in the majority of vegans was below recommendations (750 mg/d). No significant differences in fat intake were observed. Vegan diets are not related to deficiencies in vitamins A, B 1 , Β 6 , C, E, iron, phosphorus, magnesium, copper and folate and have a low glycemic load. Following a vegan diet may result in deficiencies in micronutrients (vitamin B 12 , zinc, calcium and selenium) which should not be disregarded. However, low micro- and macronutrient intakes are not always associated with health impairments. Individuals who consume a vegan diet should be aware of the risk of potential dietary deficiencies. [ABSTRACT FROM AUTHOR]

The aim of this study was to investigate the association between socioeconomic status and the prevalence of self-reported skin and atopic diseases in the general population of 5 European countries. A random sample was drawn from the general population aged 18–74 years, based on electoral precincts. Socioeconomic status was estimated by combining net household income with the highest education of respondents. A total of 7,904 subjects were included in this analysis. The lifetime prevalence of “contact dermatitis” ranged from 13.1% (95% confidence interval (95% CI 11.8–14.4%) in subjects with low socioeconomic status, to 19.1% (95% CI 17.5–20.8%) in those with high socio­economic status. In younger subjects skin cancer was more prevalent in the middle or high socioeconomic status groups compared with the low socioeconomic status group (odds ratio 2.4; 95% CI 1.4–4.3); however, this effect was not found in elderly subjects. The lifetime prevalence for at least one atopic disease was 61.2% (95% CI 59.4–63.0%) in the low and 82.8% (95% CI 81.1–84.3%) in the high socioeconomic status group. Individuals with middle or high socioeconomic status reported an overall higher prevalence of skin and atopic diseases compared with those with low socioeconomic status. These findings may reflect differences in reporting, which are likely to result in an underdiagnoses, especially for skin cancer in the younger age groups with low socioeconomic status.

Face databases have assumed an important role in a variety of clinical and applied research domains. However, the number of datasets accessible to the scientific community is limited and the knowledge of their existence may be concealed from a wider range of specialists. In the present paper we introduce a sizeable dataset of 3D facial scans - FIDENTIS 3D Face Database (F3D-FD or FIDENTIS Database), which is accompanied by basic demographic and descriptive data. The database is structured according to recorded subjects, and comprises single-scan entries as well as a smaller number of multiscan entries. The multi-scan entries vary in the time passed between recording sessions and in the devices employed to collect the 3D data. The total number of 2476 individuals puts our database within the category of large-scale databases. The 3D scans are accessible through a web-based interface at www. fidentis.cz. A licensed version of the database is available to interested parties upon signing a license agreement. Because of its varied composition, and low target-specificity the database has capacity to be of great assistance for the worldwide research community.

Objectives: To (i) evaluate the applicability of the European-derived biomarker multiples of the median (MoM) formulae for risk assessment of preterm pre-eclampsia (PE) in seven Asian populations, spanning the east, southeast and south regions of the continent, (ii) perform quality-assurance (QA) assessment of the biomarker measurements and (iii) establish criteria for prospective ongoing QA assessment of biomarker measurements.Methods: This was a prospective, non-intervention, multicenter study in 4023 singleton pregnancies, at 11 to 13 + 6 weeks' gestation, in 11 recruiting centers in China, Hong Kong, India, Japan, Singapore, Taiwan and Thailand. Women were screened for preterm PE between December 2016 and June 2018 and gave written informed consent to participate in the study. Maternal and pregnancy characteristics were recorded and mean arterial pressure (MAP), mean uterine artery pulsatility index (UtA-PI) and maternal serum placental growth factor (PlGF) were measured in accordance with The Fetal Medicine Foundation (FMF) standardized measurement protocols. MAP, UtA-PI and PlGF were transformed into MoMs using the published FMF formulae, derived from a largely Caucasian population in Europe, which adjust for gestational age and covariates that affect directly the biomarker levels. Variations in biomarker MoM values and their dispersion (SD) and cumulative sum tests over time were evaluated in order to identify systematic deviations in biomarker measurements from the expected distributions.Results: In the total screened population, the median (95% CI) MoM values of MAP, UtA-PI and PlGF were 0.961 (0.956-0.965), 1.018 (0.996-1.030) and 0.891 (0.861-0.909), respectively. Women in this largely Asian cohort had approximately 4% and 11% lower MAP and PlGF MoM levels, respectively, compared with those expected from normal median formulae, based on a largely Caucasian population, whilst UtA-PI MoM values were similar. UtA-PI and PlGF MoMs were beyond the 0.4 to 2.5 MoM range (truncation limits) in 16 (0.4%) and 256 (6.4%) pregnancies, respectively. QA assessment tools indicated that women in all centers had consistently lower MAP MoM values than expected, but were within 10% of the expected value. UtA-PI MoM values were within 10% of the expected value at all sites except one. Most PlGF MoM values were systematically 10% lower than the expected value, except for those derived from a South Asian population, which were 37% higher.Conclusions: Owing to the anthropometric differences in Asian compared with Caucasian women, significant differences in biomarker MoM values for PE screening, particularly MAP and PlGF MoMs, were noted in Asian populations compared with the expected values based on European-derived formulae. If reliable and consistent patient-specific risks for preterm PE are to be reported, adjustment for additional factors or development of Asian-specific formulae for the calculation of biomarker MoMs is required. We have also demonstrated the importance and need for regular quality assessment of biomarker values. Copyright © 2019 ISUOG. Published by John Wiley & Sons Ltd. [ABSTRACT FROM AUTHOR]

Background/purpose: Skin colour and sun sensitivity are highly related to the distance to the equator: people in southern latitudes are usually darker and less sensitive to sun than in northern latitudes. Whether differences in sun sensitivity can be found in a relatively homogenous European population is unclear. We aimed to objectively measure sun sensitivity (assessed as pigment protection factor (PPF)) in five European countries, relate it to self‐assessed Fitzpatrick skin phototype (FST) and to determine whether PPF levels in the different FST categories are dependent on the investigated countries. Methods: Volunteers (n = 569) were recruited in Copenhagen (Denmark), Dublin (Ireland), London (England), Münster (Germany) and Ioannina (Greece). Skin phototype was self‐assessed using the FST scale. PPF was measured at both sun‐protected buttocks and five sun‐exposed skin sites by a skin reflectance spectrophotometer. Results: Overall, there were statistically significant differences in PPF of the buttocks, inner arm, outer arm, forehead, chest and back between the five countries (P ≤.031). Generally, PPF level was lower in northern than in southern latitudes. PPF of the buttocks was similar in all countries for those who identified as FST I (P =.723). However, it was statistically significantly different (P ≤ 2.913*10−4) and country‐dependent for those who identified as FST II‐IV. Conclusion: Objectively measured sun sensitivity is higher (lower PPF) in northern compared with southern latitudes. The choice of self‐identified FST category is influenced by a person's immediate environment. Therefore, we confirmed the relative nature of the FST scale and the need to standardise the skin phototype assessment procedure. [ABSTRACT FROM AUTHOR]

Objectives: The aim of this study was to assess the association of genetically determined iron status with the risk for non-alcoholic fatty liver disease (NAFLD) using two-sample Mendelian randomization (MR) analysis., Methods: We applied single nucleotide polymorphisms (SNPs) associated at genome-wide significance with iron status proxied by serum iron, ferritin, transferrin, and transferrin saturation from the Genetics of Iron status Consortium (N = 48 793), in a genome-wide association study of 1664 NAFLD cases and 400 055 controls from the United Kingdom Biobank. A SNP associated with multiple markers of iron status was only applied to one marker with the strongest association in the main analysis. Their effects on NAFLD were calculated using inverse variance weighting after excluding SNPs associated with alkaline phosphatase and lipid metabolism., Results: The risk for NAFLD is negatively associated with genetically predicted serum transferrin level with a 20% reduction in NAFLD risk per SD (0.65g/L) increase in transferrin (95% confidence interval [CI], 0.66-0.97), and trending positive association with transferrin saturation (odds ratio [OR], 1.50; 95% CI, 0.96-2.35) but it was not associated with serum iron (OR, 0.90; 95% CI, 0.63-1.29) and ferritin (OR, 1.33; 95% CI, 0.54-3.30)., Conclusions: MR analysis provided evidence that genetically predicted higher serum transferrin, indicating lower iron status, may be protective against NAFLD, whereas higher transferrin saturation, indicating higher iron status, might increase the risk for NAFLD and its pathogenesis., Competing Interests: Declaration of Competing Interest The authors declare that they have no known competing financial interests or personal relationships that could have appeared to influence the work reported in this paper., (Copyright © 2023 Elsevier Inc. All rights reserved.)

The aim of this study was to investigate the association between socioeconomic status and the prevalence of self-reported skin and atopic diseases in the general population of 5 European countries. A random sample was drawn from the general population aged 18-74 years, based on electoral precincts. Socioeconomic status was estimated by combining net household income with the highest education of respondents. A total of 7,904 subjects were included in this analysis. The lifetime prevalence of "contact dermatitis" ranged from 13.1% (95% confidence interval (95% CI 11.8-14.4%) in subjects with low socioeconomic status, to 19.1% (95% CI 17.5-20.8%) in those with high socioeconomic status. In younger subjects skin cancer was more prevalent in the middle or high socioeconomic status groups compared with the low socioeconomic status group (odds ratio 2.4; 95% CI 1.4-4.3); however, this effect was not found in elderly subjects. The lifetime prevalence for at least one atopic disease was 61.2% (95% CI 59.4-63.0%) in the low and 82.8% (95% CI 81.1-84.3%) in the high socioeconomic status group. Individuals with middle or high socioeconomic status reported an overall higher prevalence of skin and atopic diseases compared with those with low socioeconomic status. These findings may reflect differences in reporting, which are likely to result in an underdiagnoses, especially for skin cancer in the younger age groups with low socioeconomic status. [ABSTRACT FROM AUTHOR]

Background: Graves' disease (GD) and drug eruption are closely associated and frequently observed in the clinical setting. However, it remains unclear whether a causal relationship exists between these two conditions. The aim of the study is to investigate whether GD is causal to drug eruptions using two-sample Mendelian randomization., Methods: We launched a two-sample MR to investigate whether GD is causal to drug eruption using Genome-wide association study (GWAS) summary data from Biobank Japan and FinnGen. Genetic variants were used as instrumental variables to avoid confounding bias. Statistical methods including inverse variance weighted (IVW), weighted median, MR-Egger, and MR-PRESSO were conducted to identify the robustness of the causal effect., Results: Genetically predicted GD may increase the risk of drug eruption by 30.3% (OR=1.303, 95% CI 1.119-1.516, p<0.001) in the Asian population. In European populations, GD may increase the generalized drug eruption by 15.9% (OR=1.159, 95%CI 0.982-1.367, p=0.080)., Conclusions: We found GD is potentially causal to drug eruption. This finding expanded the view of the frequently observed co-existence of GD and adverse drug reactions involving the skin. The mechanism remains for further investigation., Competing Interests: The authors declare that the research was conducted in the absence of any commercial or financial relationships that could be construed as a potential conflict of interest., (Copyright © 2023 Wu, Liu, Xian, Yang, Li, Hong, Li and Xiao.)