Allostatic Load and Physical Frailty Increase the Risk of Depression Recurrence in Middle-Aged and Older Adults: A Prospective Cohort Study.

Aims: Individuals with prior depressive episodes have a more fragile homeostasis, but the exploration of depression recurrence remains limited. Our study aimed to explore the associations of allostatic load (AL) and frailty with the risk of depression recurrence.

Methods: This study included 9,936 individuals from the UK Biobank who reported depression prior to recruitment.

Combined social determinants of health contributed to adverse health outcomes among depression: evidence from two national cohorts.

Aims: Social determinants of health (SDHs) exert a significant influence on various health outcomes and disparities. This study aimed to explore the associations between combined SDHs and mortality, as well as adverse health outcomes among adults with depression.

Methods: The research included 48,897 participants with depression from the UK Biobank and 7,771 from the US National Health and Nutrition Examination Survey (NHANES).

Associations between dietary mineral intake and rheumatoid arthritis: evidence from UK biobank and NHANES.

Objectives: The relationship between dietary mineral intakes and the risk of rheumatoid arthritis (RA) remains limited. This study aims to investigate the associations between dietary mineral intakes with RA.

Methods: We evaluated the association between dietary mineral intakes and RA in 123 940 adults age 40-70 years.

Associations of residential greenness with incident vascular diseases in middle-aged and older adults: A large prospective cohort study.

The relationship between residential greenness and chronic vascular diseases (VD) remains inconclusive. This study aimed to assess the associations between residential greenness and the incidence of new-onset VD. We analyzed data from a cohort of up to 240,000 participants without prior VD.

Ambient air pollution, dietary patterns, and the risk of incident cerebrovascular diseases: A prospective cohort study.

While recent research suggests air pollution and diet interactively influence cerebrovascular health, prospective studies integrating socioeconomic and geographic factors remain limited. We investigated associations between air pollutants and cerebrovascular diseases, emphasizing modification effects of dietary patterns across stratified populations. In a cohort of 249,044 UK Biobank participants, Cox proportional hazard models and restricted cubic spline regressions were used to evaluate associations of four air pollutants (PM, PM, NO and NO) with seven cerebrovascular outcomes.

EAT-lancet Diet Modifies the Risk of Rheumatoid Arthritis through Metabolomic Signature.

Objective: To investigate the association between the EAT-Lancet diet and rheumatoid arthritis (RA) and the underlying metabolic mechanisms.

Methods: This prospective cohort study included 205,439 participants who were free of RA at baseline from the UK Biobank. The EAT-Lancet diet index was constructed based on dietary data collected via the Oxford WebQ.

Large-scale plasma proteomics uncovers novel targets linking ambient air pollution and depression.

Despite the growing recognition of association between air pollution and increased risk of depression, the intricate biological mechanisms underlying it remains unclear. In this study, a total of 1463 plasma proteins were measured by the Olink Explore platform for 50,553 participants in a large prospective cohort. Four air pollutants were assessed using land-use regression models: particulate matter with aerodynamic diameter ≤ 2.

Integrated analysis of genome-wide copy number variation and exome-wide rare variation identified novel loci for rheumatoid arthritis.

Objectives: The genetic underpinnings of RA remain partially elucidated, motivating our exploration of copy number variations (CNV) and rare variations in the pathogenesis of RA.

Methods: We conducted an integrated analysis of the genome-wide landscape of CNV and exome-wide rare variation associations with RA in the UK Biobank. To strengthen our findings, we corroborated the results by the differentially expressed genes identified from gene expression profiles of synovial tissue of RA patients and health controls.

Polygenic enrichment analysis in multi-omics levels identifies cell/tissue specific associations with schizophrenia based on single-cell RNA sequencing data.

Objective: Understanding the specific cellular origin and tissue heterogeneity in schizophrenia is critically important for exploring the disease etiology. This study aims to investigate these aspects by performing multiple analyses based on omics data.

Method: We performed single-cell disease relevance score (scDRS) algorithm to link brain single-cell RNA sequencing (scRNA-seq) with schizophrenia risk across multi-omics scales at single-cell resolution.

A large-scale multi-omics polygenic risk score analysis identified candidate risk locus associated with rheumatoid arthritis.

Objective: This study aimed to investigate the associations of multi-omics polygenic risk score (PRS) and rheumatoid arthritis (RA) to identify potential genes/proteins and biological pathways.

Methods: Based on multi-omics data from 48,813 participants in the INTERVAL cohort, we calculated multi-omics PRS for 13,646 mRNAs (RNASeq), 308 proteins (Olink), 2380 proteins (SomaScan), 726 metabolites (Metabolon), and 141 metabolites (Nightingale). Using the generalized linear model, we first evaluated the associations between multi-omics PRS and RA in 58,813 UK Biobank participants.

A prospective study of associations between accelerated biological aging and twenty musculoskeletal disorders.

Background: Musculoskeletal disorders pose major public health challenges, and accelerated biological aging may increase their risk. This study investigates the association between biological aging and musculoskeletal disorders, with a focus on sex-related differences.

Methods: We analyzed data from 172,332 UK Biobank participants (mean age of 56.

Long-term ambient air pollution and the risk of major mental disorder: A prospective cohort study.

Background: Despite growing awareness of the mental health damage caused by air pollution, the epidemiologic evidence on impact of air pollutants on major mental disorders (MDs) remains limited. We aim to explore the impact of various air pollutants on the risk of major MD.

Methods: This prospective study analyzed data from 170 369 participants without depression, anxiety, bipolar disorder, and schizophrenia at baseline.

A genome-wide gene-environmental interaction study identified novel loci for the relationship between ambient air pollution exposure and depression, anxiety.

Background: Genetic factors and environmental exposures, including air pollution, contribute to the risk of depression and anxiety. While the association between air pollution and depression and anxiety has been established in the UK Biobank, there has been limited research exploring this relationship from a genetic perspective.

Methods: Based on individual genotypic and phenotypic data from a cohort of 104,385 participants in the UK Biobank, a polygenic risk score for depression and anxiety was constructed to explore the joint effects of nitric oxide (NO), nitrogen dioxide (NO), particulate matter (PM) with a diameter of ⩽2.

Air pollutants and the risk of incident hepatobiliary diseases: A large prospective cohort study in the UK Biobank.

The association between air pollutants and hepatobiliary pancreatic diseases remains inconclusive. This study analyzed up to 247,091 participants of White European ancestry (aged 37 to 73 years at recruitment) from the UK Biobank, a large-scale prospective cohort with open access. An air pollution score was utilized to assess the combined effect of PM, PM, PM, NO, and NO on total hepatobiliary pancreatic diseases, liver diseases, cholecyst diseases, and pancreatic diseases.

Micronutrient-Associated Single Nucleotide Polymorphism and Mental Health: A Mendelian Randomization Study.

Purpose: Previous studies have demonstrated the link between micronutrients and mental health. However, it remains uncertain whether this connection is causal. We aim to investigate the potential causal effects of micronutrients on mental health based on linkage disequilibrium score (LDSC) regression and Mendelian randomization (MR) analysis.

An atlas of causal association between micronutrients and osteoarthritis.

Objective: This study examines the causal relationships between serum micronutrients and site-specific osteoarthritis (OA) using Mendelian Randomization (MR).

Methods: This study performed a two-sample MR analysis to explore causal links between 21 micronutrients and 11 OA outcomes. These outcomes encompass overall OA, seven site-specific manifestations, and three joint replacement subtypes.

A genome-wide association study identifies candidate genes for sleep disturbances in depressed individuals.

Objective: This study aimed to identify candidate loci and genes related to sleep disturbances in depressed individuals and clarify the co-occurrence of sleep disturbances and depression from the genetic perspective.

Methods: The study subjects (including 58,256 self-reported depressed individuals and 6,576 participants with PHQ-9 score ≥ 10, respectively) were collected from the UK Biobank, which were determined based on the Patient Health Questionnaire (PHQ-9) and self-reported depression status, respectively. Sleep related traits included chronotype, insomnia, snoring and daytime dozing.

Disadvantaged social status contributed to sleep disorders: An observational and genome-wide gene-environment interaction analysis.

Background: Sleep is a natural and essential physiological need for individuals. Our study aimed to research the associations between accumulated social risks and sleep disorders.

Methods: In this study, we came up with a polysocial risk score (PsRS), which is a cumulative social risk index composed of 13 social determinants of health.

Mendelian randomization study of the relationship between blood and urine biomarkers and schizophrenia in the UK Biobank cohort.

Background: The identification of suitable biomarkers is of crucial clinical importance for the early diagnosis of treatment-resistant schizophrenia (TRS). This study aims to comprehensively analyze the association between TRS and blood and urine biomarkers.

Methods: Candidate TRS-related single nucleotide polymorphisms (SNPs) were obtained from a recent genome-wide association study.

Long-term ambient air pollution and the risk of musculoskeletal diseases: A prospective cohort study.

Evidence of the associations of air pollution and musculoskeletal diseases is inconsistent. This study aimed to examine the associations between air pollutants and the risk of incident musculoskeletal diseases, such as degenerative joint diseases (n = 38,850) and inflammatory arthropathies (n = 20,108). An air pollution score was constructed to assess the combined effect of PM, PM, NO, and NO.

Identification of novel rare variants for anxiety: an exome-wide association study in the UK Biobank.

Background: Rare variants are believed to play a substantial role in the genetic architecture of mental disorders, particularly in coding regions. However, limited evidence supports the impact of rare variants on anxiety.

Methods: Using whole-exome sequencing data from 200,643 participants in the UK Biobank, we investigated the contribution of rare variants to anxiety.

Insight into the Causal Relationship between Gut Microbiota and Back Pain: A Two Sample Bidirectional Mendelian Randomization Study.

Observational studies have shown that alterations in gut microbiota composition are associated with low back pain. However, it remains unclear whether the association is causal. To reveal the causal association between gut microbiota and low back pain, a two-sample bidirectional Mendelian randomization (MR) analysis is performed.