Publications by authors named "S-Q Cai"

Objective: Osteoarthritis is a common joint disease caused by a variety of risk factors, and it has been found that many biochemical markers are abnormal in peripheral blood and urine of patients with OA. The aim of this study was to elucidate the causal relationship between biomarkers associated with these processes and OA using Mendelian randomization (MR) analysis.

Method: The inverse variance weighted (IVW) approach to MR was primarily used to explore causal associations between exposures and outcomes using publicly available genetic variants from large genome-wide association studies (GWAS).

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Background: Preterm birth, a significant global health concern, has been associated with alterations in the gut microbiota. However, the causal nature of this relationship remains uncertain due to the limitations inherent in observational studies.

Purpose: To investigate the potential causal relationship between gut microbiota imbalances and preterm birth.

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Purpose: Age-related macular degeneration (AMD) is the leading cause of low vision and even blindness in the elderly population worldwide. However, no studies have been conducted to analyze the causal relationship between the cathepsin family and AMD. The present study aimed to explore and analyze this potential association using Mendelian randomization (MR).

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Background: Previous studies have shown an association between lipid-lowering drugs, circulating inflammatory factors, and atrial fibrillation (AF), but the specific effects of lipid-lowering drugs on AF and whether they can be mediated by circulating inflammatory factors remain unclear.

Methods: We collected 10 genetic variants encoding lipid-lowering drug targets (LDLR, HMGCR, PCSK9, NPC1L1, APOB, APOB, ABCG5, ABCG8, LPL, APOC3, and PPARA) and AF based on genome-wide association study (GWAS) summary statistics. Drug target Mendelian randomization (MR) was used to explore the causal relationship between lipid-lowering drugs and AF.

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Introduction: Reproductive endocrine disorders (RED), including polycystic ovary syndrome (PCOS), endometriosis (EMs), and female infertility (FI), significantly affect women's health globally, with varying prevalence across different regions. These conditions can be addressed through medication, surgical interventions, and lifestyle modifications. However, the limited understanding of RED's etiology and the substantial economic burden of its treatment highlight the importance of investigating its pathogenesis.

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Article Synopsis
  • - The study aimed to clarify the potential link between personal radiation exposure history and the risk of developing breast cancer using Mendelian randomisation (MR) analysis, which helps address confounding factors often present in epidemiological studies.
  • - Researchers selected 102 single nucleotide polymorphisms (SNPs) related to radiation exposure and employed several analysis methods to ensure reliable results, including tests for pleiotropy and heterogeneity.
  • - The results consistently showed a significant positive correlation, indicating that personal radiation exposure increases the risk of breast cancer, with odds ratios around 1.52 across different datasets, confirming the association at a genetic level.
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Introduction: The relationship between serum uric acid (SUA) and cervical cancer is inconclusive. This study aims to investigate the causal relationship between SUA levels and cervical cancer incidence, and to evaluate the potential role of nutritional interventions in cervical cancer prevention.

Methods: We conducted a two-sample bidirectional Mendelian randomization (MR) analysis using genetic instruments from publicly available genome-wide association studies (GWASs) of individuals of predominantly European ancestry.

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  • Interleukin-6 (IL-6) is linked to cardiovascular diseases (CVD), and blocking its receptor (IL-6R) shows potential as a treatment option, though its effects on different CVD types are unclear.
  • This study used a Mendelian randomization approach to evaluate the impact of IL-6R blockade on conditions like hypertension (HTN), coronary heart disease (CHD), myocardial infarction (MI), atrial fibrillation (AF), and heart failure (HF).
  • Results indicated that IL-6R blockade significantly reduced the risk of CHD and MI but showed no significant impact on HTN, AF, or HF, suggesting its treatment efficacy could vary among different CVD types.
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Background: Accumulating studies have highlighted the significant role of circulating metabolomics in the etiology of reproductive system disorders. However, the causal effects between genetically determined metabolites (GDMs) and reproductive diseases, including primary ovarian insufficiency (POI), polycystic ovary syndrome (PCOS), and abnormal spermatozoa (AS), still await thorough clarification.

Methods: With the currently most comprehensive genome-wide association studies (GWAS) data of metabolomics, systematic two-sample Mendelian randomization (MR) analyses were conducted to disclose causal associations between 1,091 blood metabolites and 309 metabolite ratios with reproductive disorders.

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  • Both observational studies and clinical trials indicate a connection between gut microbiota and geriatric syndromes, but the exact causal nature of this relationship is still unclear.
  • A two-sample Mendelian randomization (TSMR) study was conducted to explore the genetic causal effects of gut microbiota on geriatric syndromes such as frailty, Parkinson's disease, delirium, insomnia, and depression using data from genome-wide association studies (GWAS).
  • The study identified 41 probable causal relationships, revealing specific positive and negative connections between gut microbiota and various geriatric conditions, suggesting gut microbiota may influence the development of these syndromes.
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Purpose: To investigate the potential causal association between COVID-19 exposure and optic nerve and visual pathway disorders through a two-sample bidirectional Mendelian randomization (MR) analysis, and to provide empirical support for the lung-brain axis.

Methods: This MR analysis utilized publicly accessible summary-level data from genome-wide association studies on COVID-19 (n=158,783) and optic nerve and visual pathway diseases (n=412,181), primarily involving individuals of European descent. The random-effect inverse-variance weighted estimation was applied as the main analytical approach, complemented by MR-Egger, weighted median, and weighted mode methods.

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Article Synopsis
  • * Pulmonary long COVID was observed in 8.7% and 17.8% of patients at 1- and 2-year visits, while renal long COVID affected 15.2% and 23.9% of patients, respectively.
  • * A machine learning model accurately predicted these long COVID outcomes using initial clinical and multi-omics data, and proteomics identified specific biomarkers linked to lung and kidney issues.
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Background: The relationship between Metabolic Syndrome and cancer remains controversial. We aimed to assess the association between Metabolic Syndrome and cancer risk at different locations using a Mendelian randomization approach.

Methods: We extracted single nucleotide polymorphisms (SNPs) of MetS and its components from public databases for populations of European ancestry.

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  • Previous studies indicated a link between grip strength and negative pregnancy outcomes, but the cause of this relationship was not clear.
  • This study used genetic data analysis to explore if grip strength can directly affect pregnancy and perinatal results, finding a significant correlation between grip strength and offspring birth weight.
  • The findings suggest that improving grip strength through lifestyle changes could benefit pregnancy outcomes, but more research is needed to confirm these results.
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Background: Chronic heart failure (CHF) patients exhibit alterations in cerebral cortical structure and cognitive function. However, the mechanisms by which CHF affects cortical structure and functional regions remain unknown. This study aims to investigate potential causal relationship between CHF and cerebral cortical structure through Mendelian randomization (MR).

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Background: Observational studies have indicated that immune dysregulation in primary sclerosing cholangitis (PSC) primarily involves intestinal-derived immune cells. However, the causal relationship between peripheral blood immune cells and PSC remains insufficiently understood.

Methods: A bidirectional two-sample Mendelian randomization (MR) analysis was implemented to determine the causal effect between PBC and 731 immune cells.

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Recent research has highlighted associations between sleep and microbial taxa and pathways. However, the causal effect of these associations remains unknown. To investigate this, we performed a bidirectional two-sample Mendelian randomization (MR) analysis using summary statistics of genome-wide association studies (GWAS) from 412 gut microbiome traits (N = 7738) and GWAS studies from seven sleep-associated traits (N = 345,552 to 386,577).

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Article Synopsis
  • - The study investigates the link between gut microbiota and chronic pain, using data from the UK Biobank and FinnGen GWAS projects to analyze 12 specific pain locations and explore causal relationships through Mendelian Randomization (MR) analysis.
  • - Findings indicate that certain gut metabolites, particularly Serotonin and Glycine, are associated with increased pain risk in extremities, while the Bifidobacteriaceae family appears to protect against migraines, and the Oxalobacter genus is linked to a higher risk of low back pain.
  • - The results suggest a significant causal relationship between gut microbiota and pain, emphasizing its potential importance for understanding underlying mechanisms and clinical implications for pain management.
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Background: Loneliness and isolation are associated with multiple cardiovascular diseases (CVDs), but there is a lack of research on whether they were causally linked. We conducted a Mendelian Randomization (MR) study to explore causal relationships between loneliness and isolation and multiple CVDs.

Methods: Single nucleotide polymorphisms associated with loneliness and isolation were identified from a genome-wide association study (GWAS) of 455,364 individuals of European ancestry in the IEU GWAS database.

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Purpose: Pathogenesis and the associated risk factors of cataracts, glaucoma, and age-related macular degeneration (AMD) remain unclear. We aimed to investigate causal relationships between circulating cytokine levels and the development of these diseases.

Patients And Methods: Genetic instrumental variables for circulating cytokines were derived from a genome-wide association study of 8293 European participants.

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Unlabelled: It remains unclear whether the association between metformin and osteoporosis (OP) risk is causal. This two-sample Mendelian randomization (MR) study suggests a causal relationship between metformin treatment and a decrease in OP and fracture incidence, as well as an increase in bone mineral density (BMD) in the lumbar spine, femoral neck, and heel. Nonetheless, no significant causal effect is observed on forearm BMD.

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Background: Graves' disease (GD) is the most common cause of hyperthyroidism, and its pathogenesis remains incompletely elucidated. Numerous studies have implicated the gut microbiota in the development of thyroid disorders. This study employs Mendelian randomization analysis to investigate the characteristics of gut microbiota in GD patients, aiming to offer novel insights into the etiology and treatment of Graves' disease.

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Background: An estimated 301 million people worldwide suffer from anxiety disorders. People living with HIV/AIDS (PLWHA) are particularly prone to anxiety disorders that could interfere with the important developmental process in an individual's development and ultimately result in a wide range of negative mental, physical, and psychosocial consequences, as well as poor quality of life in those population groups. Early intervention for anxiety disorders can reverse some of the physical damage caused by anxiety.

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Background: Numerous studies have demonstrated the influence of gut microbiota on the development of obesity. In this study, we utilized Mendelian randomization (MR) analysis to investigate the gut microbiota characteristics among different types of obese patients, aiming to elucidate the underlying mechanisms and provide novel insights for obesity treatment.

Methods: Two-sample multivariable Mendelian randomization (MR) analysis was employed to assess causal relationships between gut microbiota and various obesity subtypes.

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