Identification of potential causal metabolites associated with atopic dermatitis.

Atopic dermatitis is a chronically recurrent dermatologic disease affected by complex pathophysiology with limited therapeutic options. To identify promising biomarkers for atopic dermatitis, we conducted a Mendelian randomization (MR) study to systematically screen blood metabolome for potential causal mediators of atopic dermatitis and further predict target-mediated side effects. We selected 128 unique blood metabolites from three European-descent metabolome genome-wide association studies (GWASs) with a total of 147 827 participants. Atopic dermatitis dataset originated from a large-scale GWAS including 10 788 cases and 30 047 controls of European ancestry. MR analyses were performed to estimate the associations of blood metabolites with atopic dermatitis. We then applied a phenome-wide MR analysis to ascertain potential on-target side effects of metabolite intervention. Three metabolites were identified as potential causal mediators for atopic dermatitis, including docosahexaenoic acid (odds ratio [OR], 0.87; 95% confidence interval [CI], 0.81-0.94; P = 3.45 × 10-4), arachidonate (OR, 0.30; 95% CI, 0.17-0.53; P = 4.09 × 10-5) and 1-arachidonoylglycerophosphoethanolamine (1-arachidonoyl-GPE) (OR, 0.25; 95% CI, 0.12-0.53; P = 2.58 × 10-4). In the phenome-wide MR analysis, docosahexaenoic acid and arachidonate were also identified to have beneficial or detrimental effects on multiple diseases beyond atopic dermatitis, respectively. No adverse side effects were found for 1-arachidonoyl-GPE. In this systematic MR study, docosahexaenoic acid, arachidonate and 1-arachidonoyl-GPE were identified as potential causal and beneficial mediators in the development of atopic dermatitis. Side-effect profiles were characterized to help inform drug target prioritization, and 1-arachidonoyl-GPE was a promising target for prevention and treatment of atopic dermatitis with no predicted adverse side effects.

Associations between brain imaging-derived phenotypes and cognitive functions.

We aimed to evaluate the potential causal relationship between brain imaging-derived phenotypes and cognitive functions via Mendelian randomization analyses. Genetic instruments for 470 brain imaging-derived phenotypes were selected from a genome-wide association study based on the UK Biobank (n = 33,224). Statistics for cognitive functions were obtained from the genome-wide association study based on the UK Biobank. We used the inverse variance weighted Mendelian randomization method to investigate the associations between brain imaging-derived phenotypes and cognitive functions, and reverse Mendelian randomization analyses were performed for significant brain imaging-derived phenotypes to examine the reverse causation for the identified associations. We identified three brain imaging-derived phenotypes to be associated with verbal-numerical reasoning, including cortical surface area of the left fusiform gyrus (beta, 0.18 [95% confidence interval, 0.11 to 0.25], P = 4.74 × 10-7), cortical surface area of the right superior temporal gyrus (beta, 0.25 [95% confidence interval, 0.15 to 0.35], P = 6.30 × 10-7), and orientation dispersion in the left superior longitudinal fasciculus (beta, 0.14 [95% confidence interval, 0.09 to 0.20], P = 8.37 × 10-7). The reverse Mendelian randomization analysis indicated that verbal-numerical reasoning had no effect on these three brain imaging-derived phenotypes. This Mendelian randomization study identified cortical surface area of the left fusiform gyrus, cortical surface area of the right superior temporal gyrus, and orientation dispersion in the left superior longitudinal fasciculus as predictors of verbal-numerical reasoning.

Genetic analyses identify brain imaging-derived phenotypes associated with the risk of amyotrophic lateral sclerosis.

Brain imaging-derived phenotypes have been suggested to be associated with amyotrophic lateral sclerosis in observational studies, but whether these associations are causal remains unclear. We aimed to assess the potential bidirectional causal associations between imaging-derived phenotypes and amyotrophic lateral sclerosis using bidirectional 2-sample Mendelian randomization analyses. Summary statistics for 469 imaging-derived phenotypes (33,224 individuals) and amyotrophic lateral sclerosis (20,806 cases and 59,804 controls) were obtained from 2 large-scale genome-wide association studies of European ancestry. We used the inverse-variance weighted Mendelian randomization method in the main analysis to assess the bidirectional associations between imaging-derived phenotypes and amyotrophic lateral sclerosis, followed by several sensitivity analyses for robustness validation. In the forward Mendelian randomization analyses, we found that genetically determined high orientation dispersion index in the right cerebral peduncle was associated with the increased risk of amyotrophic lateral sclerosis (odds ratio = 1.30, 95% confidence interval = 1.16-1.45, P = 2.26 × 10-6). In addition, the reverse Mendelian randomization analysis indicated that amyotrophic lateral sclerosis had no effect on 469 imaging-derived phenotypes. Mendelian randomization-Egger regression analysis showed no directional pleiotropy for the association between high orientation dispersion index in the right cerebral peduncle and amyotrophic lateral sclerosis, and sensitivity analyses with different Mendelian randomization models further confirmed these findings. The present systematic bidirectional Mendelian randomization analysis showed that high orientation dispersion index in the right cerebral peduncle might be the potential causal mediator of amyotrophic lateral sclerosis, which may provide predictive guidance for the prevention of amyotrophic lateral sclerosis. Further studies are warranted to replicate our findings and clarify the underlying mechanisms.

Genetic analyses identify brain imaging-derived phenotypes associated with the risk of intracerebral hemorrhage.

Previous observational studies have reported associations between brain imaging-derived phenotypes (IDPs) and intracerebral hemorrhage (ICH), but the causality between them remains uncertain. We aimed to investigate the potential causal relationship between IDPs and ICH by a two-sample Mendelian randomization (MR) study. We selected genetic instruments for 363 IDPs from a genome-wide association study (GWASs) based on the UK Biobank (n = 33,224). Summary-level data on ICH was derived from a European-descent GWAS with 1,545 cases and 1,481 controls. Inverse variance weighted MR method was applied in the main analysis to investigate the associations between IDPs and ICH. Reverse MR analyses were performed for significant IDPs to examine the reverse causation for the identified associations. Among the 363 IDPs, isotropic or free water volume fraction (ISOVF) in the anterior limb of the left internal capsule was identified to be associated with the risk of ICH (OR per 1-SD increase, 4.62 [95% CI, 2.18-9.81], P = 6.63 × 10-5). In addition, the reverse MR analysis indicated that ICH had no effect on ISOVF in the anterior limb of the left internal capsule (beta, 0.010 [95% CI, -0.010-0.030], P = 0.33). MR-Egger regression analysis showed no directional pleiotropy for the association between ISOVF and ICH, and sensitivity analyses with different MR models further confirmed these findings. ISOVF in the anterior limb of the left internal capsule might be a potential causal mediator of ICH, which may provide predictive guidance for the prevention of ICH. Further studies are warranted to replicate our findings and clarify the underlying mechanisms.

Genetically Determined Plasma Hepatocyte Growth Factor Levels Are Associated With the Risk and Prognosis of Ischemic Stroke.

BACKGROUND: Observational studies suggest that hepatocyte growth factor (HGF) is associated with the risk and prognosis of ischemic stroke, but the causality of these associations remains unclear. Therefore, we conducted Mendelian randomization (MR) analyses to explore the associations of genetically determined plasma HGF levels with the risk and prognosis of ischemic stroke. METHODS: A total of 13 single-nucleotide polymorphisms associated with plasma HGF were selected as genetic instruments based on the data from a genome-wide association study with 21 758 European participants. Summary data about the risk of ischemic stroke were obtained from the MEGASTROKE (Multiancestry Genome-Wide Association Study of Stroke) Consortium with 34 217 ischemic stroke cases and 406 111 controls of European ancestry, and summary data about the prognosis of ischemic stroke were obtained from the GISCOME study (Genetics of Ischaemic Stroke Functional Outcome) with 6165 European patients with ischemic stroke. We conducted an inverse-variance weighted Mendelian randomization analysis followed by a series of sensitivity analyses to evaluate the associations of genetically determined plasma HGF with the risk and prognosis of ischemic stroke. RESULTS: The primary analyses showed that genetically determined high HGF was associated with an increased risk of ischemic stroke (odds ratio per SD increase, 1.11 [95% CI, 1.04-1.19]; P=1.10×10-3) and poor prognosis of ischemic stroke (odds ratio per SD increase, 2.43 [95% CI, 1.76-3.52]; P=6.35×10-8). In the secondary analysis, genetically determined plasma HGF was associated with a high risk of large atherosclerotic stroke (odds ratio per SD increase, 1.39 [95% CI, 1.18-1.63]; P=5.08×10-5) but not small vessel stroke and cardioembolic stroke. Mendelian randomization-Egger regression showed no directional pleiotropy for all associations, and the sensitivity analyses with different Mendelian randomization methods further confirmed these findings. CONCLUSIONS: We found positive associations of genetically determined plasma HGF with the risk and prognosis of ischemic stroke, suggesting that HGF might be implicated in the occurrence and development of ischemic stroke.

High-Serum Brain-Derived Neurotrophic Factor Levels Are Associated With Decreased Risk of Poststroke Cognitive Impairment.

BACKGROUND: BDNF (brain-derived neurotrophic factor) is widely implicated in the pathophysiological process of stroke, but the effect of BDNF on poststroke cognitive impairment (PSCI) remains unclear. We aimed to investigate the association between baseline serum BDNF and the risk of PSCI at 3 months in a multicenter study based on a preplanned ancillary study of the CATIS trial (China Antihypertensive Trial in Acute Ischemic Stroke). METHODS: We examined serum BDNF levels at baseline and used the Mini-Mental State Examination and Montreal Cognitive Assessment to evaluate cognitive function at 3-month follow-up after ischemic stroke. PSCI was defined as Mini-Mental State Examination score <27 or Montreal Cognitive Assessment score <25. Logistic regression analyses were performed to evaluate the association between serum BDNF and the risk of 3-month PSCI. RESULTS: In this ancillary study, a total of 660 patients with ischemic stroke with hypertension were included, and 593 patients (mean age, 59.90±10.44 years; 410 males and 183 females) were finally included in this analysis. According to mini-mental state examination score, after adjustment for age, sex, education, baseline National Institutes of Health Stroke Scale score, APOE ɛ4 carriers, and other potential confounders, the odds ratio of PSCI for the highest tertile of BDNF was 0.60 ([95% CI, 0.39-0.94]; P=0.024) compared with the lowest tertile. Multiple-adjusted spline regression model showed a linear association of serum BDNF levels with PSCI at 3 months (P value for linearity=0.010). Adding serum BDNF to conventional prognostic factors slightly improved the risk reclassification of PSCI (net reclassification improvement: 27.46%, P=0.001; integrated discrimination index: 1.02%, P=0.015). Similar significant findings were observed when PSCI was defined by the Montreal Cognitive Assessment score. CONCLUSIONS: Elevated serum BDNF levels were associated with a decreased risk of PSCI at 3 months, suggesting that serum BDNF might be a potential predictive biomarker for PSCI among patients with ischemic stroke with hypertension.

Association of Crohn's disease and ulcerative colitis with the risk of neurological diseases: a large-scale Mendelian randomization study.

Observational studies suggested increased risks of Alzheimer's disease (AD), Parkinson's disease (PD), and multiple sclerosis (MS) in patients with Crohn's disease (CD) and ulcerative colitis (UC). We aimed to assess the causality for the associations of CD and UC with the risks of AD, PD, and MS through a two-sample Mendelian randomization (MR) study. Independent single nucleotide polymorphisms associated with CD (17,897 cases and 33,977 controls) and UC (13,768 cases and 33,977 controls) were identified as genetic instruments based on a European-descent genome-wide association study (GWAS) released by the International Inflammatory Bowel Disease Genetics Consortium. Summary statistics for AD (combined: 25,881 cases and 256,837 controls), PD (combined: 35,836 cases and 665,686 controls), and MS (combined: 48,477 cases and 285,515 controls) were obtained from the largest GWASs and FinnGen study of European ancestry, respectively. MR estimates were generated using the inverse-variance weighted method in the main analysis with a series of sensitivity analyses. MR analyses were conducted per outcome database and were subsequently meta-analyzed to generate combined estimates. Genetically predicted UC was significantly associated with increased risks of AD (combined: OR, 1.03; 95% CI, 1.01-1.05; P = 1.80 × 10-3) and MS (combined: OR, 1.37; 95% CI, 1.23-1.53; P = 1.18 × 10-8), while there was no association between genetically predicted UC and the risk of PD. In contrast, no significant associations were observed for genetically predicted CD with AD, PD, and MS. MR-Egger regression showed no directional pleiotropy for the identified associations, and sensitivity analyses with different MR methods further confirmed these findings. This study suggested significant adverse effects of UC on AD and MS, highlighting that UC patients should receive early intervention with optimal adjunctive medical therapy to reduce the risks of AD and MS.

Mendelian randomization analysis implicates bidirectional associations between brain imaging-derived phenotypes and ischemic stroke.

Brian imaging-derived phenotypes (IDPs) have been suggested to be associated with ischemic stroke, but the causality between them remains unclear. In this bidirectional two-sample Mendelian randomization (MR) study, we explored the potential causal relationship between 461 imaging-derived phenotypes (n = 33,224, UK Biobank) and ischemic stroke (n = 34,217 cases/406,111 controls, Multiancestry Genome-Wide Association Study of Stroke). Forward MR analyses identified five IDPs associated with ischemic stroke, including mean diffusivity (MD) in the right superior fronto-occipital fasciculus (1.22 [95% CI, 1.11-1.34]), MD in the left superior fronto-occipital fasciculus (1.30 [1.17-1.44]), MD in the anterior limb of the right internal capsule (1.36 [1.22-1.51]), MD in the right anterior thalamic radiation (1.17 [1.09-1.26]), and MD in the right superior thalamic radiation (1.23 [1.11-1.35]). In the reverse MR analyses, ischemic stroke was identified to be associated with three IDPs, including high isotropic or free water volume fraction in the body of corpus callosum (beta, 0.189 [95% confidence interval, 0.107-0.271]), orientation dispersion index in the pontine crossing tract (0.175 [0.093-0.257]), and volume of the third ventricle (0.219 [0.138-0.301]). This bidirectional two-sample MR study suggested five predictors and three diagnostic markers for ischemic stroke at the brain-imaging level. Further studies are warranted to replicate our findings and clarify underlying mechanisms.

The bidirectional association between frailty index and cardiovascular disease: A Mendelian randomization study.

BACKGROUND AND AIM: Observational studies have suggested a relationship between frailty and cardiovascular disease (CVD), but the causality is still uncertain. We used bidirectional Mendelian randomization (MR) design to investigate the potential causal associations between frailty and four main CVDs, including hypertension, myocardial infarction (MI), heart failure (HF), and atrial fibrillation (AF). METHODS AND RESULTS: Independent single-nucleotide polymorphisms for frailty index (FI) and CVDs (hypertension, MI, HF, and AF) were selected as genetic instruments based on European-descent genome-wide association studies (GWASs). Summary-level data for outcomes on FI (n = 175,226), hypertension (n = 463,010), MI (n = 171,875), HF (n = 977323), and AF (n = 1,030,836) was derived from five large-scale GWASs of European ancestry. We used the inverse-variance weighted (IVW) method to examine the bidirectional associations between FI and CVDs in the main analyses. In the IVW MR analyses, genetically determined high FI was significantly associated with increased risks of hypertension (odds ratio [OR] per 1-SD increase: 1.07 [95 % confidence interval, 1.05-1.08]), MI (OR per 1-SD increase: 1.74 [1.21-2.51]), HF (OR per 1-SD increase: 1.28 [1.10-1.48]), and AF (OR per 1-SD increase: 1.20 [1.08-1.33]). In addition, genetically determined hypertension (beta: 1.406 [1.225-1.587]), MI (beta: 0.045 [0.023-0.067]), HF (beta: 0.105 [0.066-0.143]) and AF (beta: 0.021 [0.012-0.031]) were significantly associated with high FI. These findings were robustly supported by a series of sensitivity analyses with different MR models. CONCLUSIONS: We found potential bidirectional causal associations between elevated FI and increased risks of CVD, suggesting mutual risk factors between frailty and CVD.

Trajectories and influencing factors of social anxiety in postoperative breast cancer patients.

BACKGROUND: Social anxiety among postoperative breast cancer patients is a prevalent concern, with its intensity fluctuating throughout the course of treatment. The study aims to describe the trajectory of social anxiety in postoperative breast cancer patients, explore the influencing factors, and provide theoretical support for the construction of future intervention programs. METHODS: This study was conducted from June 2022 to January 2023, encompassing 213 breast cancer patients from three first-class hospitals in China. Data collection occurred at four distinct time points. A growth mixture model was employed to identify latent categories representing the trajectories of social anxiety changes among patients. A multiple regression analysis was utilized to explore predictive factors associated with different latent trajectory categories. RESULTS: The trajectory of social anxiety changes in postoperative breast cancer patients includes five potential categories: maintaining mild social anxiety group, changing from mild to moderate social anxiety group, maintaining moderate social anxiety group, changing from moderate to severe social anxiety group, and maintaining severe social anxiety group. Cluster analysis results indicated three types: positive, negative, and low. Logistic regression analysis revealed that younger age, spouses concerned about postoperative appearance, chemotherapy with taxol-based drugs, opting for modified radical surgery or radical mastectomy surgical approaches, and breast cancer patients with negative rumination were factors that influenced patients' social anxiety (P < 0.05). CONCLUSION: The trajectory of social anxiety in postoperative breast cancer patients comprises five potential categories. In clinical practice, it is essential to strengthen the management of high-risk populations susceptible to experiencing social anxiety emotions, including younger age, spouses concerned about postoperative appearance, chemotherapy with taxol-based drugs, opting for modified radical surgery or radical mastectomy surgical approaches, and breast cancer patients with negative rumination.

The relationship between personality traits, metacognition and professional commitment in Chinese nursing students: a cross-sectional study.

BACKGROUND: Professional commitment of nursing students is closely related to the stability of the nursing team. Personality traits and metacognition may be related to professional commitment. We investigate the association between Big Five personality, metacognition, and professional commitment among nursing students, and further explore whether Big Five personality modifies the association between metacognition and professional commitment. METHODS: From December 2023 to January 2024, a cross-sectional study was conducted among 3631 nursing students from 17 universities in China through the online platform Sojump.com by cluster sampling method and using the general information questionnaire, BFI-44 (Big Five Inventory 44) scale, metacognition scale and professional commitment scale to investigate their demographic data, personality traits, level of metacognition and level of professional commitment. Latent profile analysis was employed to identify optimal categories of personality traits. Multivariate logistic regression was used to analyze the association between the personality traits and professional commitment, as well as metacognition and professional commitment in all participants and participants with different personality traits subgroups, adjusting for potential covariates. Furthermore, the potential mediating role of metacognition between personality traits and professional commitment was also investigated. RESULTS: Three distinct personality traits were identified: sensitive-negative personality (65.2%), ordinary personality (26.6%), and open-positive personality (8.2%). Compared with nursing students with sensitive-negative personality, nursing students with ordinary personality and open-positive personality were associated with professional commitment, respectively [OR (95% CI): 7.01 (5.99-8.20), 21.09 (15.43-28.83)]. The p value for trend of personality and professional commitment was < 0.001. Metacognition was associated with professional commitment [OR (95% CI): 5.95 (5.20-6.81); p < 0.001]. Personality traits could modify the association between metacognition and professional commitment (pinteraction = 0.009). The mediating role of metacognition between Big Five personality and professional commitment has also been verified. CONCLUSIONS: Personality traits and metacognition of nursing students need to be paid attention to, and interventions based on metacognition may help nursing students with different personality traits to improve their professional commitment level.

Osteoprotegerin and Ischemic Stroke Prognosis: A Prospective Multicenter Study and Mendelian Randomization Analysis.

BACKGROUND: Osteoprotegerin was implicated in vascular injury and inflammatory responses, but its prognostic value in ischemic stroke remained unclear. We aimed to prospectively investigate the association between plasma osteoprotegerin and ischemic stroke prognosis combined with a Mendelian randomization analysis. METHODS: Our prospective study follows the STROBE (Strengthening the Reporting of Observational Studies in Epidemiology) reporting guideline. We measured baseline plasma osteoprotegerin levels for 3490 ischemic stroke patients recruited between August 2009 and May 2013 in 26 hospitals across China. The primary outcome was a composite outcome of death and major disability at 3 months after ischemic stroke. RESULTS: After adjustment for age, sex, admission National Institutes of Health Stroke Scale score, and other important covariates, elevated osteoprotegerin levels were associated with increased risks of primary outcome (odds ratio, 1.40 [95% CI, 1.05-1.88]), death (hazard ratio, 2.05 [95% CI, 1.04-4.08]), and composite outcome of death and vascular events (hazard ratio, 2.00 [95% CI, 1.15-3.48]) when 2 extreme quartiles were compared. Each 1-SD higher log-osteoprotegerin was associated with a 18% (95% CI, 6%-32%) increased risk of primary outcome, 69% (95% CI, 31%-118%) increased risk of death, and 53% (95% CI, 24%-89%) increased risk of composite outcome of death and vascular events, respectively. Multiple-adjusted spline regression model showed a linear association of osteoprotegerin with primary outcome (P for linearity <0.001). Adding osteoprotegerin to conventional risk factors did not significantly improve discriminatory power (C statistics, 0.817 versus 0.818; P=0.232) but did slightly improve the risk reclassification of primary outcome (net reclassification improvement: 13.68%, P<0.001; integrated discrimination improvement: 0.23%, P=0.039). In Mendelian randomization analysis, genetically determined high plasma osteoprotegerin was associated with increased risk of primary outcome (odds ratio, 5.74 [95% CI, 1.12-29.44]; P=0.036). CONCLUSIONS: Elevated plasma osteoprotegerin was associated with poor prognosis of ischemic stroke, and genetically determined high plasma osteoprotegerin was associated with an increased risk of primary outcome in Mendelian randomization analysis. REGISTRATION: URL: https://www. CLINICALTRIALS: gov; Unique identifier: NCT01840072.

High Serum Brain-Derived Neurotrophic Factor Is Associated With Decreased Risks of Poor Prognosis After Ischemic Stroke.

BACKGROUND: BDNF (brain-derived neurotrophic factor) has been implicated in cardiovascular homeostasis and ischemic stroke pathogenesis. We aimed to prospectively investigate the associations between serum BDNF levels and the prognosis of ischemic stroke in a multicenter cohort study. METHODS: This prospective study follows the STROBE reporting guideline. Serum BDNF concentrations were measured in 3319 ischemic stroke patients from the China Antihypertensive Trial in Acute Ischemic Stroke between August 2009 and May 2013 in 26 hospitals across China. The primary outcome was the composite outcome of death and major disability (modified Rankin Scale score ≥3) at 3 months after stroke onset. Multivariate logistic regression or Cox proportional hazards regression analysis was used to assess the associations between serum BDNF levels and adverse clinical outcomes. RESULTS: During the 3-month follow-up period, 827 (24.92%) patients experienced a primary outcome, including 734 major disabilities and 93 deaths. After adjusting for age, sex, and other important prognostic factors, elevated serum BDNF levels were associated with decreased risks of primary outcome (odds ratio, 0.73 [95% CI, 0.58-0.93]), major disability (odds ratio, 0.78 [95% CI, 0.62-0.99]), death (hazard ratio, 0.55 [95% CI, 0.32-0.97]), and the composite outcome of death and vascular events (hazard ratio, 0.61 [95% CI, 0.40-0.93]) when 2 extreme tertiles were compared. Multivariable-adjusted spline regression analyses showed a linear association between serum BDNF levels and the primary outcome (P value for linearity=0.005). The addition of BDNF to conventional risk factors slightly improved reclassification for the primary outcome (net reclassification improvement: 19.33%; P<0.001; integrated discrimination index: 0.24%; P=0.011). CONCLUSIONS: Elevated serum BDNF concentrations were independently associated with decreased risks of adverse outcomes after ischemic stroke, suggesting that serum BDNF may be a potential biomarker for prognosis after ischemic stroke. Further studies are warranted to investigate the potential therapeutic benefit of BDNF for ischemic stroke.

Association between human blood metabolome and the risk of breast cancer.

BACKGROUND: Breast cancer is the most common cancer among women with limited treatment options. To identify promising drug targets for breast cancer, we conducted a systematical Mendelian randomization (MR) study to screen blood metabolome for potential causal mediators of breast cancer and further predict target-mediated side effects. METHODS: We selected 112 unique blood metabolites from 3 large-scale European ancestry-based genome-wide association studies (GWASs) with a total of 147,827 participants. Breast cancer data were obtained from a GWAS in the Breast Cancer Association Consortium (BCAC), involving 122,977 cases and 105,974 controls of European ancestry. We conducted MR analyses to systematically assess the associations of blood metabolites with breast cancer, and a phenome-wide MR analysis was further applied to ascertain the potential on-target side effects of metabolite interventions. RESULTS: Two blood metabolites were identified as the potential causal mediators for breast cancer, including high-density lipoprotein cholesterol (HDL-C) (odds ratio [OR], 1.09; 95% confidence interval [CI], 1.06-1.12; P = 9.67 × 10-10) and acetate (OR, 1.24; 95% CI, 1.13-1.37; P = 1.35 × 10-5). In the phenome-wide MR analysis, lowering HDL-C might have deleterious effects on the risk of the circulatory system and foreign body injury, while lowering acetate had deleterious effects on mental disorders disease. CONCLUSIONS: The present systematic MR analysis revealed that HDL-C and acetate may be the causal mediators in the risk of developing breast cancer. Side-effect profiles were characterized to help inform drug target prioritization for breast cancer prevention. HDL-C and acetate might be promising drug targets for preventing breast cancer, but they should be applied under weighting advantages and disadvantages.

Association between Human Blood Metabolome and the Risk of Alzheimer's Disease.

OBJECTIVE: Alzheimer's disease (AD) is the most common degenerative neurological disorder with limited therapeutic options. Therefore, it is particularly important to explore the potential biomarkers implicated in the occurrence and progression of AD prior to clinical testing. METHODS: We selected 119 unique blood metabolites from 3 metabolome genome-wide association studies (GWASs) with 147,827 European participants. Summary data about AD were obtained from a GWAS meta-analysis with 63,926 European individuals from the International Genomics of Alzheimer's Project. MR analyses were performed to assess the associations of blood metabolites with AD, and a phenome-wide MR analysis was further applied to ascertain the potential on-target side effects of metabolite interventions. RESULTS: Four metabolites were identified as causal mediators for AD, including epiandrosterone sulfate (odds ratio [OR] per SD increase: 0.60; 95% confidence interval [CI]: 0.51-0.71; p = 6.14 × 10-9 ), 5alpha-androstan-3beta-17beta-diol disulfate (OR per SD increase: 0.69; 95% CI: 0.57-0.84; p = 1.98 × 10-4 ), sphingomyelin (OR per SD increase: 2.53; 95% CI: 1.78-3.59; p = 2.10 × 10-7 ), and glutamine (OR per SD increase: 0.83; 95% CI: 0.77-0.89; p = 2.09 × 10-6 ). Phenome-wide MR analysis showed that epiandrosterone sulfate, 5alpha-androstan-3beta-17beta-diol disulfate and sphingomyelin mediated the risk of multiple diseases, and glutamine had beneficial effects on the risk of 4 diseases. INTERPRETATION: Genetically predicted increased epiandrosterone sulfate, 5alpha-androstan-3beta-17beta-diol disulfate, and glutamine might be associated with a decreased risk of AD, while sphingomyelin was associated with an increased risk. Side-effect profiles were characterized to help inform drug target prioritization, and glutamine might be a promising target for the prevention and treatment of AD with no predicted detrimental side effects. ANN NEUROL 2022;92:756-767.

Plasma homeostatic chemokines CCL19 and CCL21 and the prognosis of ischemic stroke in two Chinese prospective cohorts.

BACKGROUND: The homeostatic chemokines CCL19 and CCL21 are involved in carotid plaque vulnerability and post-ischemic neuroinflammatory responses. This study aimed to examine the prognostic values of CCL19 and CCL21 in ischemic stroke. METHODS: Plasma CCL19 and CCL21 were measured in 4483 ischemic stroke patients from two independent cohorts of CATIS (China Antihypertensive Trial in Acute Ischemic Stroke) and IIPAIS (Infectious Factors, Inflammatory Markers, and Prognosis of Acute Ischemic Stroke), and participants were followed up at 3 months after stroke. The primary outcome was the composite outcome of death or major disability. The associations of CCL19 and CCL21 levels with the primary outcome were examined. RESULTS: In CATIS, multivariable-adjusted odds ratios of the primary outcome in the highest quartiles of CCL19 and CCL21 compared with the lowest quartiles were 2.06 and 2.62, respectively. In IIPAIS, odds ratios of the primary outcome in the highest quartiles of CCL19 and CCL21 were 2.81 and 2.78 compared with the lowest quartiles, respectively. In the pooled analysis of the two cohorts, odds ratios of the primary outcome associated with the highest quartiles of CCL19 and CCL21 were 2.24 and 2.66, respectively. Similar findings were observed in the analysis with major disability, death, and the composite outcome of death or cardiovascular events as the secondary study outcomes. Adding CCL19 and CCL21 to conventional risk factors significantly improved risk reclassification and discrimination for adverse outcomes. CONCLUSIONS: Both CCL19 and CCL21 levels were independently associated with adverse outcomes within 3 months after ischemic stroke and should be further investigated for risk stratification and potential therapeutic targets of ischemic stroke.

Intercellular adhesion molecule 4 and ischemic stroke: a two-sample Mendelian randomization study.

BACKGROUND: Experimental studies suggested that intercellular adhesion molecule 4 (ICAM-4) might be implicated in ischemic stroke, but the population-based evidence on the relationship between ICAM-4 and ischemic stroke were limited. Herein, we performed a two-sample Mendelian randomization (MR) analysis to investigate the associations of genetically determined plasma ICAM-4 with the risks of ischemic stroke and its subtypes. METHODS: A total of 11 single-nucleotide polymorphisms associated with ICAM-4 were selected as instrumental variables based on the genome-wide association studies (GWAS) with 3,301 European individuals. Summary-level data about ischemic stroke and its subtypes were obtained from the Multi-ancestry GWAS launched by the International Stroke Genetics Consortium. We used the inverse-variance weighted method followed by a series of sensitivity analyses to evaluate the associations of genetically determined ICAM-4 with the risks of ischemic stroke and its subtypes. RESULTS: Genetically determined higher ICAM-4 levels were significantly associated with increased risks of ischemic stroke (in the IVW method fitted to multiplicative random effects model: odds ratio [OR] per standard deviation [SD] increase, 1.04; 95% confidence interval [CI], 1.01-1.07; P = 0.006; in the IVW analysis with fixed effects model: OR per SD increase, 1.04; 95% CI, 1.01-1.07; P = 0.003) and cardioembolic stroke (in multiplicative random effects model: OR per SD increase, 1.08; 95% CI, 1.02-1.14; P = 0.004; in fixed effects model: OR per SD increase, 1.08; 95% CI, 1.03-1.13; P = 0.003). There was no association of ICAM-4 with the risks of large artery stroke and small vessel stroke. MR-Egger regression showed no directional pleiotropy for all associations, and the sensitivity analyses with different MR methods further confirmed these findings. CONCLUSIONS: We found positive associations of genetically determined plasma ICAM-4 with the risks of ischemic stroke and cardioembolic stroke. Future studies are needed to explore the detailed mechanism and investigate the targeting effect of ICAM-4 on ischemic stroke.

The interaction of financial toxicity and social support on social functioning in post-chemotherapy breast cancer patients: a cross-sectional study.

PURPOSE: To explore the correlation between financial toxicity, social support, and social functioning in post-chemotherapy breast cancer patients, as well as any possible interaction of financial toxicity and social support on social functioning. METHODS: Post-chemotherapy breast cancer patients admitted to the thyroid and breast surgery departments of three first-class general hospitals in East China from December 2020 to January 2022 were recruited by convenience sampling for a cross-sectional survey. The survey instruments included the general information form, the comprehensive scores for financial toxicity based on the patient-reported outcome measures (COST-PROM), the social roles and activity participation subscale from the patient-reported outcomes measurement system-breast-chemotherapy (PROMS-B-C) (score range: 8-40), and the social support subscale from PROMS-B-C (score range: 16-80). RESULTS: The results showed that low social functioning (low score) in post-chemotherapy breast cancer patients was positively correlated with high financial toxicity (low score) as well as poor economic resources (low score) and poor psychosocial responses (low score) (P<0.01) and negatively correlated with low economic expenditures (low score) (P<0.01); high social functioning (high score) was positively correlated with high social support (high score) (P<0.01). The interaction analysis results showed an additive interaction between financial toxicity and social support in social functioning. CONCLUSION: There was an additive interaction of financial toxicity and social support in the social functioning of post-chemotherapy breast cancer patients. Those patients with high financial toxicity and low social support are the most likely to benefit from relevant intervention measures compared to other breast cancer populations.

Massage therapy significantly improves cancer-related fatigue in cancer patients: a meta-analysis of randomized controlled trials.

PURPOSE: This study was designed to investigate the effectiveness and safety of massage therapy in cancer-related fatigue (CRF) and to provide a reference for the future management of CRF. METHODS: Eight databases (PubMed, Embase, Cochrane Library, CINAHL, Sinomed, Chinese Scientific Journal database (VIP), Wanfang, and China National Knowledge Infrastructure (CNKI)) were systematically reviewed from inception to May 2022 for randomized controlled trials. Two reviewers critically and independently assessed the risk of bias using Cochrane Collaboration criteria and extracted correlated data using the designed form. The meta-analysis was performed using RevMan 5.3 to calculate the pooled effect sizes and 95% confidence intervals (CIs). Sensitivity analysis was performed to find the source of the heterogeneity. Publication bias was assessed via funnel plot analysis and the Egger test. RESULT: A total of 11 qualified studies that included 789 patients (massage therapy group: 389; control group: 400) were included in the meta-analysis. Massage therapy had a marked effect on fatigue in cancer patients [standardized mean difference (SMD) = - 1.69, 95% CI (- 2.46, - 0.93), P < 0.01], especially in breast cancer [SMD = - 1.62, 95% CI (- 2.18, - 1.05), P < 0.01]. Reflexology [SMD = - 2.71, 95% CI (- 4.65, - 0.77), P < 0.01] and Chinese massage [SMD = - 1.14, 95% CI (- 1.95, - 0.33), P < 0.01] can have a more significant effect on fatigue. Massage time is 20 to 40 min [SMD = - 2.39, 95% CI (- 4.13, - 0.66), P < 0.01], twice a week [SMD = - 3.46, 95% CI (- 5.47, - 1.45), P < 0.01] for 3-5 weeks [SMD = - 2.36, 95% CI (- 3.53, - 1.19), P < 0.01], which is more effective in relieving fatigue in cancer patients. Five studies described the occurrence of adverse events and only two studies had adverse events. CONCLUSION: Massage therapy can be effective in relieving fatigue in cancer patients. Current evidence suggests that reflexology is the most effective approach to relieve fatigue, particularly in the breast cancer patients. The optimal intervention frequency and cycle for massage therapy is twice a week for 3-5 weeks, and the optimal duration is 20-40 min.

Association between myeloperoxidase and the risks of ischemic stroke, heart failure, and atrial fibrillation: A Mendelian randomization study.

BACKGROUND AND AIMS: The causality between myeloperoxidase (MPO) and cardiovascular disease still remains unclear. We performed a two-sample Mendelian randomization (MR) study to estimate the potential causal effect of MPO on the risks of ischemic stroke, ischemic stroke subtypes, heart failure (HF), and atrial fibrillation (AF). METHODS AND RESULTS: Seventeen independent single-nucleotide polymorphisms associated with MPO levels were identified as instrumental variables from a European-descent genome-wide association study. Summary-level data on ischemic stroke originated from the Multiancestry Genome-wide Association Study of Stroke Consortium with 440 328 European individuals. We used the inverse-variance weighted method to assess the potential causality of plasma MPO with ischemic stroke and its subtypes in the main analysis. Genetically determined higher plasma MPO concentration was significantly associated with increased risks of ischemic stroke (odds ratio [OR] per standard deviation [SD] increase, 1.05; 95% confidence interval [CI], 1.02-1.09; P = 0.002) and cardioembolic stroke (CES) (OR per SD increase, 1.10; 95% CI, 1.03-1.18; P = 0.005), but was not associated with risks of large artery stroke or small vessel stroke. In the secondary analysis, MPO was associated with a high risk of HF (OR per SD increase, 1.05; 95% CI, 1.02-1.07; P = 0.001) and AF (OR per SD increase, 1.04; 95% CI, 1.01-1.07; P = 0.004). MR-Egger regression showed no directional pleiotropy for all associations, and the sensitivity analyses further confirmed these findings. CONCLUSION: High plasma MPO levels were potentially associated with increased risks of ischemic stroke, CES, HF, and AF, suggesting that MPO plays an important role in the development of cardiovascular disease.