Correction For Multiple Testing Research Articles

Abstract Su206: Early Metabolic Effects of Prehospitally Administered High-Dose Glucocorticoids in Comatose Patients Resuscitated from Out-of-Hospital Cardiac Arrest

Background: Administration of glucocorticoid in comatose patients resuscitated from out-of-hospital cardiac arrest (OHCA) mitigate the inflammatory response within the first 24 hours. The anti-inflammatory action is mediated through genomic effects, taking hours to days to set in, but glucocorticoids may also exert acute, non-genomic effects. The interplay between inflammation and metabolism is becoming more evident and emerging evidence suggests that early metabolic interventions can reduce reactive oxygen species, thus preventing cell apoptosis and necrosis. Hence, it is pivotal to investigate whether glucocorticoids cause significant metabolic effects in this context. Methods: Sub-study of a two-center, blinded, randomized controlled trial (NCT04624776) examining the effects of prehospital administration of 250 mg methylprednisolone versus placebo in comatose patients resuscitated from OHCA of presumed cardiac cause. Blood samples were collected upon hospital arrival (T0) and 48 hours later (T48). A total of 60 metabolites were quantified by mass-spectrometry and compared between groups following adjustment for sex, age, time to return of spontaneous circulation (ROSC), ST-elevation myocardial infarction, and time from intervention to sampling (only at T0). All results were corrected using the false-discovery rate method to account for multiple tests. Results: In the modified intention to treat population (mITT) 68 (50%) had been randomized to glucocorticoid and 69 (50%) to placebo. Blood samples were available for 121 (88%) and 117 (82%) patients at T0 and T48, respectively. Median age was 66 years (IQR: 56- 74) and 100 (83%) patients were men. Median time to ROSC was 16 min (10-20), and study medicine was administered prehospital 20 min (13-29) following ROSC with blood samples at T0 being drawn after 107 min (64-180). Though a nominal difference was observed at hospital arrival (Figure 1 left), we found no metabolic effects following correction for multiple testing. At T48, glucocorticoid showed increased plasma levels of many amino acids, especially tryptophan (Figure 1 right), while prostaglandin E2 and free fatty acids associated with inflammation were higher in the placebo group. Discussion: We did not find evidence for early metabolic effects of glucocorticoid treatment after OHCA. In contrast, several metabolites were affected at T48, including an increase in plasma tryptophan levels in the glucocorticoid group and lower levels of prostaglandin E2.

Gut Microbial Metabolites and Future Risk of Parkinson's Disease: A Metabolome‐Wide Association Study

AbstractBackgroundAlterations in gut microbiota are observed in Parkinson's disease (PD). Previous studies on microbiota‐derived metabolites in PD were small‐scale and post‐diagnosis, raising concerns about reverse causality.ObjectivesOur goal was to prospectively investigate the association between plasma microbial metabolites and PD risk within a metabolomics framework.MethodsA nested case–control study within the prospective EPIC4PD cohort, measured pre‐diagnostic plasma microbial metabolites using untargeted metabolomics.ResultsThirteen microbial metabolites were identified nominally associated with PD risk (P‐value < 0.05), including amino acids, bile acid, indoles, and hydroxy acid, although none remained significant after multiple testing correction. Three pathways were implicated in PD risk: valine, leucine, and isoleucine degradation, butanoate metabolism, and propanoate metabolism. PD‐associated microbial pathways were more pronounced in men, smokers, and overweight/obese individuals.ConclusionChanges in microbial metabolites may represent a pre‐diagnostic feature of PD. We observed biologically plausible associations between microbial pathways and PD, potentially influenced by individual characteristics. © 2024 The Author(s). Movement Disorders published by Wiley Periodicals LLC on behalf of International Parkinson and Movement Disorder Society.

Abstract 4139115: Genomic, Phenomic, and Geographic Relationships with Leukocyte Telomere Length in the U.S. Yields New Insights for Neoplasms and Cardiometabolic Disease

Background: Leukocyte telomere length (LTL) is an age-related marker strongly associated with neoplasms and cardiometabolic disease. LTL is also intimately linked with clonal hematopoiesis of indeterminate potential (CHIP), a recently described risk factor for cardiovascular disease (CVD). However, population-scale investigations of LTL in diverse backgrounds are limited, and geolocational variance has not been studied. Method: LTL and CHIP were derived using blood-derived whole genome sequencing data from 244,819 diverse U.S. residents in the NIH All of Us Research Program (AoU). We performed association analyses of LTL with CHIP and other available health-related traits, Phecode, as well as geolocation data by ZIP code. Genome-wide association study (GWAS) of LTL in AoU and meta-analysis with UK Biobank were performed. All association tests were adjusted for age, sex, sequencing site, and the first 10 genetic principal components with multiple test corrections. Mediation analysis was adjusted for additional risk factors for CVD. Result: Among 244,819 AoU participants, 146,717 (59.9%) were female with mean (standard deviation) age 51.8 (±16) years. Estimated LTL correlated strongly with age, sex, and genetic ancestry in AoU. Socioeconomic status, lifestyle variables, anthropometry, blood biomarkers (e.g., lipids and glucose), and vital signs were associated with LTL in AoU. Phecode analysis showed LTL is associated with neoplasms and age-related conditions, including CVDs. LTL mediated some of the observed increased coronary artery disease risk among individuals with hematologic malignancies ( P < 2 × 10 -16 ). Significantly longer LTL clustered in the West Coast and Central Midwest ( P = 0.001 and 0.033, respectively), while significantly shorter LTL clustered in the Southeast ( P = 0.001) (Figure). GWAS meta-analyses identified 197 loci, of which 36 (18%) were novel, including ancestry-specific loci. Rare variant aggregation test found 9 novel associated genes. Conclusions: LTL is a marker of biological age that is associated and interacts with neoplasms, CVDs, and its various risk factors, with notable geographic variability within the U.S. Germline genetic analyses of LTL yield new insights into drivers of LTL.

Supplemental Material for Why Multiple Hypothesis Test Corrections Provide Poor Control of False Positives in the Real World

Supplemental Material for Why Multiple Hypothesis Test Corrections Provide Poor Control of False Positives in the Real World

Associations of human blood metabolome with optic neurodegenerative diseases: a bi-directionally systematic mendelian randomization study

BackgroundMetabolic disruptions were observed in patients with optic neurodegenerative diseases (OND). However, evidence for the causal association between metabolites and OND is limited.MethodsTwo-sample Mendelian randomization (MR). Summary data for 128 blood metabolites was selected from three genome-wide association study (GWASs) involving 147,827 participants of European descent. GWASs Data for glaucoma (20906 cases and 391275 controls) and age-related macular degeneration (AMD, 9721 cases and 381339 controls) came from FinnGen consortium. A bi-directional MR was conducted to assess causality, and a Mediation MR was further applied to explore the indirect effect, a phenome-wide MR analysis was then performed to identify possible side-effects of the therapies.ResultsAll the results underwent correction for multiple testing and rigorous sensitivity analyses. We identified N-acetyl glycine, serine, uridine were linked to an elevated risk of glaucoma. 1-arachidonic-glycerol-phosphate-ethanolamine, 4-acetamido butanoate, o-methylascorbate, saturated fatty acids, monounsaturated fatty acids, VLDL cholesterol, serum total cholesterol, X-11,529 were linked to reduced risk of glaucoma. There were 4 metabolites linked to a reduced risk of AMD, including tryptophan betaine, 4-androsten-3beta-17beta-diol disulfate, apolipoprotein B, VLDL cholesterol. We discovered IOP, AS, T2D as glaucoma risk factors, while BMI, AS, GCIPL as AMD factors. And 6 metabolites showed associations with risk factors in the same direction as their associations with glaucoma/AMD. Phenome-wide MR indicated that selected metabolites had protective/adverse effects on other diseases.ConclusionsBy integrating genomics and metabolomics, this study supports new insights into the intricate mechanisms, and helps prevent and screen glaucoma and AMD.

Maternal Immune Activation and Child Brain Development: A Longitudinal Population-based Multimodal Neuroimaging study

Maternal Immune Activation (MIA) has been hypothesized to have an adverse effect on child neurodevelopment, but only a few neuroimaging studies have been performed to date, mostly in neonates. In this population-based cohort study, we investigated the association between MIA and multiple neuroimaging modalities depicting brain development from childhood to adolescence. We used data of mother-child pairs from the Generation R Study. To define our exposure, we measured IL-1β, IL-6, IL-17a, IL-23 and IFN-γ, and CRP at two time points during pregnancy. Given that levels of these 5 cytokines were highly correlated, we were able to compute a Cytokine index. We used multiple brain imaging modalities as outcomes, encompassing global and regional measures of brain morphology (structural MRI, volume, n=3,295), white matter microstructure (diffusion MRI, FA and MD, n=3,267), and functional connectivity (functional MRI, graph theory measures and network-level connectivity, n=2,914) at child mean ages 10 and 14 years. We performed mixed-effects models using the child's age as continuous time variable. We found no significant association or time interaction between MIA and any neuroimaging outcomes in children over time. These associations were similar for the Cytokine index, CRP, and individual cytokines. We observed no evidence for differential effects of timing of prenatal MIA or child sex after multiple testing correction. This longitudinal population-based study reports no evidence for an association between MIA and child brain development in the general population. Our findings differ from prior research in neonates showing structural and functional brain abnormalities after MIA.

Interpersonal Stressors Predicting Inflammation in Adolescents: Moderation by Emotion Regulation and Heart Rate Variability?

This study assessed interpersonal stressors (peer adversity and parental rejection) as predictors of adolescents’ circulating inflammatory markers, while examining emotion regulation and parasympathetic nervous system activity (at rest, reactivity, and recovery) as potential protective moderators. Data were collected in a Belgian cohort of adolescents in 2017 (n=185, 51.4% boys, 10-18y) and 2018 (n=98), and included serum inflammatory markers (CRP, TNFα, IFNγ, IL-6, IL-8 and IL-10), peer adversity, parental rejection, emotion regulation and heart rate variability (RMSSD-HRV, at rest and in 2018 also in response to a Trier Social Stress Test). Contrary to the hypothesis, interpersonal stressors were negatively related to TNFα (in 2017 and 2018), IFNγ (in 2017 and longitudinally) and IL-6 (in 2018). In 23% of the tested associations, HRV at rest was a significant moderator: the negative stressor-inflammation associations were present only among adolescents with low HRV resting values. No significant moderation by HRV reactivity or recovery was detected. After correction for multiple testing, all above-mentioned significant findings disappeared. These unexpected findings may suggest that the positive association between stress exposure and circulating markers of inflammation is not yet detectable in adolescence and perhaps becomes evident only later in life.

Prenatal exposures and cell type proportions are main drivers of FKBP5 DNA methylation in maltreated and non-maltreated children

DNA methylation in peripheral tissues may be a relevant biomarker of risk for developing mental disorders after exposure to early life adversity. Genes involved in HPA axis regulation, such as FKBP5, might play a key role. In this study, we aimed to identify the main drivers of salivary FKBP5 methylation in a cohort of 162 maltreated and non-maltreated children aged 3-5 years at two measurement timepoints. We combined data from a targeted bisulfite sequencing approach for fine-mapping 49 CpGs in regulatory regions of FKBP5 and epigenetic scores for exposure to alcohol, cigarette smoke, and glucocorticoids derived from the EPIC microarray.Most variability of methylation in the FKBP5 locus was explained by estimated cell type proportions as well as epigenetic exposure scores, most prominently the glucocorticoid exposure score. While not surviving correction for multiple testing, we replicate previously reported associations of FKBP5 methylation with CM. We also detected synergistic effects of both rs1360780 genotype and the glucocorticoid exposure score on FKBP5 hypomethylation. These effects were identified in the 3’TAD, a distal regulatory of FKBP5 which is not extensively covered in Illumina arrays, emphasizing the need for fine mapping approaches. Additionally, the epigenetic glucocorticoid exposure score was associated with childhood maltreatment, maternal mental disorders, and pregnancy complications, thereby highlighting the role of glucocorticoid signaling in the epigenetic consequences of early adversity.These results underscore the need to assess cell type heterogeneity in targeted assessments of DNA methylation and show the impact of exposures beyond just childhood maltreatment such as glucocorticoid exposure.

Experiences of psychological, social and organisational work environments in occupational health service in Sweden: a cross-sectional survey

BackgroundThe aim of this study was to compare and describe different professionals’ experiences of workplace psychological and social factors in occupational health (OH) organizations in Sweden.MethodsThis cross-sectional study with a descriptive and comparative design included 472 respondents with common professions in the occupational health service (OHS) in Sweden. Data were collected with “The General Nordic Questionnaire for Psychological and Social Factors at Work” (QPSNordic). The professions have been compared pairwise using the Independent Samples Kruskal-Wallis test, adjusted by Bonferroni correction for multiple tests on subscales and single items and these are presented descriptively.ResultsThe experience of the psychological and social work environment on job task measurement level differed between the professionals. Experiences on social and organizational as well as on individual measurement levels are similar between the professionals who perceive them as satisfactory. Out of the 472 respondents, 7% reported that they had seen someone being subjected to harassment and bullying at the workplace during the last six months.ConclusionsThe experience among the professionals differs most in the Job task measurement level. The results indicate that although different OH professionals experience psychological and social factors at work in different ways, their experiences are generally satisfactory even though harassment and bullying do exist. The research about occupational health professionals and their work environment is sparse. Further applied research is needed for the planning and development of occupational health services in Sweden.

Exploring protein biomarkers of physical activity and cardiovascular disease

Abstract Background The beneficial effects of physical activity on cardiovascular risk are well documented. Yet, the underlying mechanisms by which physical activity prevents cardiovascular disease remain unclear (1). Advancements of omics technology enables us to explore novel biomarkers of this complex molecular relationship and potentially unravel underlying molecular mechanisms involved in the progression of cardiovascular events. Purpose To investigate associations between long term physical activity and plasma proteins. As a second step investigate associations between identified plasma proteins and future myocardial infarction and mortality. Methods In the population based prospective cohort Uppsala Longitudinal Study of Adult Men (ULSAM), men were repeatedly investigated with a validated questionnaire on physical activity at ages 50, 60 and 70. 720 plasma proteins were analyzed at age 70 (n=782) with follow up on mortality data for 30 years. In the case-cohort MIMI (Markers of Imminent Myocardial Infarction study) the same plasma proteins were measured in disease-free individuals from six European cohorts. Individuals with acute myocardial infarction within 6 months from baseline were defined as cases (n=420) and up tto four cohort representatives per case were defined as controls (n=1598). Results Higher level of physical activity during 20 years was significantly associated with 12 plasma proteins, in a linear regression model adjusted for age, education and smoking after Bonferroni correction for multiple testing (p<0.000069). After additional adjustment for known cardiovascular risk factors (education, smoking status, BMI, blood pressure, low-density lipoprotein, diabetes diagnosis, and hypertensive-, lipid- or diabetes-treatment), all 12 proteins remained negatively associated with higher level of physical activity in the ULSAM cohort (p<0,05). Two proteins of the 12 proteins associated with physical activity were also significantly associated with future myocardial infarction in the MIMI study (FGF21 and IL6, p<0.05 for both) and 10 proteins were associated with increased mortality risk in the ULSAM cohort (p<0.05 for all). Moreover, proteins that were more negatively associated with physical activity were generally more positively associated with the risk of myocardial infarction in MIMI (Figure). Conclusion Multiple novel associations were found between long-term physical activity and plasma proteins. Some proteins were also associated with future myocardial infarction in an independent cohort which could suggest that the cardioprotective effects of physical activity to some degree may be mediated via the circulating proteome. Our findings encourage additional studies in order to understand the underlying causal mechanisms of these associations.

Associations between pre- and post-natal exposure to phthalate and DINCH metabolites and gut microbiota in one-year old children

The gut microbiota is a collection of symbiotic microorganisms in the gastrointestinal tract. Its sensitivity to chemicals with widespread exposure, such as phthalates, is little known. We aimed to investigate the impact of perinatal exposure to phthalates on the infant gut microbiota at 12 months of age. Within SEPAGES cohort (Suivi de l’Exposition à la Pollution Atmosphérique durant la Grossesse et Effet sur la Santé), we assessed 13 phthalate metabolites and 2 di(isononyl) cyclohexane-1,2-dicarboxylate (DINCH) metabolites in repeated urine samples collected in pregnant women and their offspring. We obtained stool samples from 356 children at 12 months of age and sequenced the V3-V4 region of the 16S rRNA gene, allowing gut bacterial profiling. We used single-chemical (linear regressions) and mixture (BKMR, Bayesian Kernel Machine Regression) models to examine associations of phthalates and DINCH metabolites, with gut microbiota indices of α-diversity (specific richness and Shannon diversity) and the relative abundances of the most abundant microbiota phyla and genera. After correction for multiple testing, di(2-ethylhexyl) phthalate (ΣDEHP), diethyl phthalate (DEP) and bis(2-propylheptyl) phthalate (DPHP) metabolites 12-month urinary concentrations were associated with higher Shannon α-diversity of the child gut microbiota in single-chemical models. The multiple-chemical model (BKMR) suggested higher α-diversity with exposure to the phthalate mixture at 12 months, driven by the same phthalates. There were no associations between phthalate and DINCH exposure biomarkers at other time points and α-diversity after correction for multiple testing. ΣDEHP metabolites concentration at 12 months was associated with higher Coprococcus genus. Finally, ΣDEHP exposure at 12 months tended to be associated with higher phylum Firmicutes, an association not maintained after correction for multiple testing. Infancy exposure to phthalate might disrupt children's gut microbiota. The observed associations were cross-sectional, so that reverse causality cannot be excluded.

When to Trust Epigenetic Clocks: Avoiding False Positives in Aging Interventions.

Recent human studies have suggested that aging interventions can reduce aging biomarkers related to morbidity and mortality risk. Such biomarkers may potentially serve as early, rapid indicators of effects on healthspan. An increasing number of studies are measuring intervention effects on epigenetic clocks, commonly used aging biomarkers based on DNA methylation profiles. However, with dozens of clocks to choose from, different clocks may not agree on the effect of an intervention. Furthermore, changes in some clocks may simply be the result of technical noise causing a false positive result. To address these issues, we measured the variability between 6 popular epigenetic clocks across a range of longitudinal datasets containing either an aging intervention or an age-accelerating event. We further compared them to the same clocks re-trained to have high test-retest reliability. We find the newer generation of clocks, trained on mortality or rate-of-aging, capture aging events more reliably than those clocks trained on chronological age, as these show consistent effects (or lack thereof) across multiple clocks including high-reliability versions, and including after multiple testing correction. In contrast, clocks trained on chronological age frequently show sporadic changes that are not replicable when using high-reliability versions of those same clocks, or when using newer generations of clocks and these results do not survive multiple-testing correction. These are likely false positive results, and we note that some of these clock changes were previously published, suggesting the literature should be re-examined. This work lays the foundation for future clinical trials that aim to measure aging interventions with epigenetic clocks, by establishing when to attribute a given change in biological age to a bona fide change in the aging process.

Causal relationship between amino acids and ovarian cancer in the European population: A bidirectional Mendelian randomization study and meta-analysis.

In recent years, an increasing number of observational studies have reported the impact of amino acids on ovarian cancer. However, Mendelian randomization studies have not yet been conducted to explore the causal relationship between them in the context of ovarian cancer. This study conducted Mendelian randomization (MR) analysis of 20 amino acids in relation to ovarian cancer data from 2 different sources within the European population, using a two-sample MR approach. The primary results from the inverse variance weighting analysis were then subjected to a meta-analysis, followed by multiple testing correction for the meta-analysis thresholds. Finally, reverse causality testing was performed on the positively associated amino acids and ovarian cancer. MR analyses were conducted for 20 amino acids with ovarian cancer data from both the Finngen R10 and Open genome-wide association study databases. The inverse variance weighted results from these 2 analyses were then combined through meta-analysis, with multiple corrections applied to the significance thresholds of the meta-analysis results. The findings showed that only cysteine had a significant association with ovarian cancer, with an (odds ratio) odds ratio value of 0.507 (95% confidence interval: 0.335-0.767, P = .025). The P-value of the combined MR and meta-analysis, after multiple testing correction, was 0.025, indicating statistical significance (P < .05). Additionally, cysteine did not show a reverse causal relationship with ovarian cancer in either data source. Cysteine is a protective factor for ovarian cancer, potentially reducing the risk of ovarian cancer and slowing the progression of the disease.

Profiling of urinary extracellular vesicle protein signatures from patients with cribriform and intraductal prostate carcinoma in a cross-sectional study

Prognostic tests and treatment approaches for optimized clinical care of prostatic neoplasms are an unmet need. Prostate cancer (PCa) and derived extracellular vesicles (EVs) proteome changes occur during initiation and progression of the disease. PCa tissue proteome has been previously characterized, but screening of tissue samples constitutes an invasive procedure. Consequently, we focused this study on liquid biopsies, such as urine samples. More specifically, urinary small extracellular vesicle and particles proteome profiles of 100 subjects were analyzed using liquid chromatography coupled to high-resolution mass spectrometry (LC–MS/MS). We identified 171 proteins that were differentially expressed between intraductal prostate cancer/cribriform (IDC/Crib) and non-IDC/non-Crib after correction for multiple testing. However, the strong correlation between IDC/Crib and Gleason Grade complicates the disentanglement of the underlying factors driving this association. Nevertheless, even after accounting for multiple testing and adjusting for ISUP (International Society of Urological Pathology) grading, two proteins continued to exhibit significant differential expression between IDC/Crib and non-IDC/non-Crib. Functional enrichment analysis based on cancer hallmark proteins disclosed a clear pattern of androgen response down-regulation in urinary EVs from IDC/Crib compared to non-IDC/non-Crib. Interestingly, proteome differences between IDC and cribriform were more subtle, suggesting high proteome heterogeneity. Overall, the urinary EV proteome reflected partly the prostate pathology.

The role of genetically predicted serum iron levels on neurodegenerative and cardiovascular traits.

Iron is an essential mineral that supports numerous biological functions. Studies have reported associations between iron dysregulation and certain cardiovascular and neurodegenerative diseases, but the direction of influence is not clear. Our goal was to use computational approaches to better understand the role of genetically predicted iron levels on disease risk. We meta-analyzed genome-wide association study summary statistics for serum iron levels from two cohorts and two previous meta-analyses. We then obtained summary statistics from 11 neurodegenerative, cerebrovascular, cardiovascular or lipid traits to assess global and regional genetic correlation between iron levels and these traits. We used two-sample Mendelian randomization (MR) to estimate causal effects. Sex-stratified analyses were also carried out to identify effects potentially differing by sex. Overall, we identified three significant global correlations between iron levels and (i) coronary heart disease, (ii) triglycerides, and (iii) high-density lipoprotein (HDL) cholesterol levels. A total of 194 genomic regions had significant (after correction for multiple testing) local correlations between iron levels and the 11 tested traits. MR analysis revealed two potential causal relationships, between genetically predicted iron levels and (i) total cholesterol or (ii) non-HDL cholesterol. Sex-stratified analyses suggested a potential protective effect of iron levels on Parkinson's disease risk in females, but not in males. Our results will contribute to a better understanding of the genetic basis underlying iron in cardiovascular and neurological health in aging, and to the eventual identification of new preventive interventions or therapeutic avenues for diseases which affect women and men worldwide.

Exploring the causal pathway from gut microbiota to polycystic ovary syndrome: A network Mendelian randomization study.

Polycystic ovary syndrome (PCOS) is a complicated endocrine and metabolic syndrome with unclear pathogenesis. The gut microbiota sheds light on the etiology and pathophysiology of PCOS. We used Mendelian randomization (MR) studies to systematically evaluate the pathological mechanism gut microbiota causally associated with PCOS risk. A network MR analysis was performed to estimate the causal effects of gut microbiota and risk factors on PCOS, as well as the mediation effect of risk factors linking gut microbiota to PCOS. The investigation of side effects for the important gut microbiota was subsequently broadened to include phenotypes by performing Phenowide-MR analysis for a range of diseases. Genus Sellimonas id.14369 were causally associated with reduced PCOS risk (odds ratio [OR] = 0.69, 95% confidence interval [CI]: 0.58-0.84, P = 1.22 × 10-4) after multiple testing correction. And Sellimonas retained consistent causal effect estimates after a series of sensitivity analyses. In addition, we observed an indirect effect of Sellimonas on PCOS through body mass index (BMI) using network MR (b = -0.05, 95% CI: -0.09 to -0.01), with a mediated proportion of 12.82% of the total effect. Further, Phenowide-MR analyses showed that the protective effects of Sellimonas on type 2 diabetes and depression (for type 2 diabetes: OR = 0.95, 95% CI: 0.90-0.99, P = .0366; for depression: OR = 0.99, 95% CI: 0.98-1.00, P = .0210). We summarized that the causal path between gut microbiota and type 2 diabetes are also jointly mediated by BMI. Sellimonas may be a protective factor of PCOS, which can affect the occurrence of PCOS through BMI, supporting future studies on the importance of addressing obesity and metabolic issues in preventing and managing PCOS.

Inflammation is associated with pain and fatigue in older adults

IntroductionIncreasing evidence suggests that inflammation may play a pivotal role in the development of chronic pain and fatigue in aging individuals. This study investigated the relationship between three inflammatory markers (IL-6, CRP, and TNFα) and pain and fatigue, both cross-sectionally and longitudinally, in a sample of older adults from the Saint Louis Personality and Aging (SPAN) study. MethodsSPAN study participants provided blood samples at two in-person sessions approximately 2 years apart for the analysis of the inflammatory biomarkers IL-6, CRP, and TNFα. Pain and fatigue were assessed using the RAND-36 Health Status Inventory. Correlations (with false discovery rate correction for multiple testing) and follow-up linear regressions including potentially confounding demographic (e.g., annual household income) and health (e.g., BMI, medication use) covariates were used to estimate cross sectional and longitudinal associations. Analytic ns ranged from 533 to 815. ResultsCross-sectional analyses revealed that higher IL-6 and CRP were associated with greater reported pain and fatigue, even after accounting for covariates (βs > .098, ps < .05). TNFα was associated with greater fatigue only (β = .100, p = .012). Longitudinally, CRP and IL-6 predicted future pain and fatigue, although only the relationship between CRP and future fatigue survived the inclusion of covariates (β = .104, p = .022). Both pain and fatigue predicted higher levels of IL-6 and CRP approximately 2 years later, although only the associations with IL-6 survived the inclusion of covariates (βs > .12, ps < .01). DiscussionOur study adds to a growing body of literature showing that inflammation is associated with greater pain and fatigue in older adults. Our longitudinal data showing temporal bidirectional associations is consistent with evidence from non-human animal models that heightened inflammation causally contributes to fatigue and also suggests that the experience of pain and fatigue may contribute to inflammation. It will be important for future work to identify how lifestyle factors associated with pain and fatigue (e.g., physical activity) may contribute to these associations.

Systematic review and meta-analysis of the association between ABCA7 common variants and Alzheimer's disease in non-Hispanic White and Asian cohorts.

The relationship between the ABCA7 gene and Alzheimer's disease (AD) has been widely studied across various populations. However, the results have been inconsistent. This meta-analysis aimed to evaluate the association of ABCA7 polymorphisms with AD risk, including specific subtypes such as late-onset Alzheimer's disease (LOAD). Relevant studies were identified through comprehensive database searches, and the quality of each study was assessed using the Newcastle-Ottawa Scale (NOS). Allele and genotype frequencies were extracted from the included studies. The pooled odds ratios (OR) with corresponding 95% confidence intervals (CI) were calculated using random-effects or fixed-effects models. Multiple testing corrections were conducted using the false discovery rate (FDR) method. The Cochran Q statistic and I2 metric were used to evaluate heterogeneity between studies, while Egger's test and funnel plots were employed to assess publication bias. A total of 36 studies, covering 21 polymorphisms and involving 31,809 AD cases and 44,994 controls, were included in this meta-analysis. NOS scores ranged from 7 to 9, indicating high-quality studies. A total of 11 SNPs (rs3764650, rs3752246, rs4147929, rs3752232, rs3752243, rs3764645, rs4147934, rs200538373, rs4147914, rs4147915, and rs115550680) in ABCA7 were significantly associated with AD risk. Among these SNPs, two (rs3764650 and rs3752246) were also found to be related to the late-onset AD (LOAD) subtype. In addition, two SNPs (rs4147929 and rs4147934) were associated with the susceptibility to AD only in non-Hispanic White populations. A total of 10 SNPs (rs3764647, rs3752229, rs3752237, rs4147932, rs113809142, rs3745842, rs3752239, rs4147918, rs74176364, and rs117187003) showed no significant relationship with AD risk. Sensitivity analyses confirmed the reliability of the original results, and heterogeneity was largely attributed to deviations from Hardy-Weinberg equilibrium, ethnicity, and variations between individual studies. The available evidence suggests that specific ABCA7 SNPs may be associated with AD risk. Future studies with larger sample sizes will be necessary to confirm these results. https://www.crd.york.ac.uk/prospero/, identifier: CRD42024540539.

Farm-dust mediated protection of childhood asthma: Mass cytometry reveals novel cellular regulation.

Farm-dust mediated asthma protection in childhood was replicated in numerous epidemiological studies. Central immune mechanisms are not fully understood. This exploratory study aimed to disentangle underlying immunological regulation of farm-dust mediated protection in peripheral blood on a single-cell level. Single-cell protein expression of invitro farm-dust stimulated and unstimulated cells from allergic asthmatics and healthy controls were measured using mass cytometry. Analysis of innate and adaptive cellular proportions (linear regression) and T-cell proliferation was performed. Functional marker intensity was investigated using Earth Mover's Distance and the Monte Carlo permutation test. Farm-dust stimulation induced cell type-specific regulation: Key-features of farm-dust stimulation comprised opposing regulation of immune-cell frequencies (downregulated innate cell populations (monocytes/DCs (p < .001), NK-cells (p < .05)) and upregulated adaptive populations (B-cells, CD4+ T-cells (both p < .05)), reduced CD4+ CD25- T-cell proliferation, and differential cell type-specific functional marker expression. Following stimulation, functional marker analysis revealed induced activation (CD25) in T-cells and NK-T-cells in both phenotypes even after correction for multiple testing. Cytotoxicity (GZMB) and inflammation (pERK1/2, pp38) related markers were reduced in T-cells exclusively in asthmatic children. Asthma-associated markers (Gata3, RORγ, and HLA-DR) were reduced in T- and innate- cell populations of asthmatics following stimulation. B-cells displayed a phenotypically independent increase of diverse functional markers upon farm-dust stimulation. This study mimicking invivo environmental exposure identified a novel profile of immune-regulatory markers using mass cytometry demonstrating decreased asthma-associated markers following farm-dust stimulation. These findings may be key for further studies on asthma prevention in childhood.

Identification of candidate genes for endometrial cancer in multi-omics: a Mendelian randomization analysis

Endometrial cancer is the most common malignant tumor of the uterus, but the underlying genetic mechanisms of EC remain unclear. To identify candidate genes and investigate genetic mechanisms for endometrial cancer, we utilized the summary-data-based Mendelian randomization (SMR) method to investigate causal associations between genetic variants, gene expression, DNA methylation, and endometrial cancer. Three main analyses were conducted utilizing cis-expression and methylation quantitative trait loci (eQTLs and mQTLs) as instrumental variables to examine causal relationships with endometrial cancer, and assessing the causal relationship between DNA methylation and gene expression. Data sources included genetic association data from O'Mara et al. eQTL data from the GTEx database, and mQTL data from McRae et al. Analysis involved the HEIDI test to distinguish pleiotropy, SMR analysis with multiple testing correction, and colocalization analysis to assess associations driven by linkage disequilibrium. Functional enrichment analysis was performed by the Metascape tool. Our study showed that three genes, SNX11, LINC00243, and EVI2A, were identified as causally related to endometrial cancer. SNX11 exhibited a positive causal relationship, while LINC00243 and EVI2A showed negative ones. Furthermore, 24 CpG sites were identified as causally related to endometrial cancer, with cg14424631 (CYP19A1) being the most significant. The study revealed common genes implicated in endometrial cancer, gene expression, and methylation sites, with LINC00243 playing a key role. Colocalization analysis confirmed significant causal relationships between LINC00243, SNX11, and endometrial cancer. Enrichment analysis uncovered pathways like interferon gamma signaling enriched in both endometrial cancer GWAS and e/mQTL. These findings shed light on the molecular mechanisms underlying endometrial cancer development. The study identified candidate genes and DNA methylation loci causally associated with endometrial cancer, which are expected to serve as potential targets for treatment.