Revealing the association between East Asian oral microbiome and colorectal cancer through Mendelian randomization and multi-omics analysis

Frontiers in Cellular and Infection Microbiology, Год журнала: 2024, Номер 14

Опубликована: Сен. 17, 2024

Background Colorectal cancer (CRC) poses a global health threat, with the oral microbiome increasingly implicated in its pathogenesis. This study leverages Mendelian Randomization (MR) to explore causal links between microbiota and CRC using data from China National GeneBank Biobank Japan. By integrating multi-omics approaches, we aim uncover mechanisms by which influences cellular metabolism development. Methods We analyzed profiles 2017 tongue 1915 saliva samples, GWAS for 6692 cases 27178 controls. Significant bacterial taxa were identified via MR analysis. Single-cell RNA sequencing enrichment analyses elucidated underlying pathways, drug predictions potential therapeutics. Results 19 significantly associated CRC. Protective effects observed like RUG343 Streptococcus_umgs_2425, while HOT-345_umgs_976 W5053_sp000467935_mgs_712 increased risk. revealed key including JAK-STAT signaling tyrosine metabolism. Drug prediction highlighted therapeutics Menadione Sodium Bisulfite Raloxifene. Conclusion establishes critical role of colorectal development, identifying specific microbial linked further elucidate pathways therapeutics, providing novel insights personalized treatment strategies

Язык: Английский

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Broad Evidence Triangulation Should Be Established for a Valid and Robust Causal Relation Between Air Pollution and Health Outcome

CNS Neuroscience & Therapeutics, Год журнала: 2025, Номер 31(1)

Опубликована: Янв. 1, 2025

This letter aims to provide valuable insights into broader evidence triangulation (i.e., a well-designed primary association analysis followed by elaborate approaches control residual confounding effects from various design and modeling perspectives) for clarifying the between air pollutants health outcomes. It also highlights importance of selecting appropriate instrumental variable instrument-based causal modeling, emphasizing that all questions can be effectively addressed within Mendelian randomization framework.

Язык: Английский

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Air Pollution and Its Impact on Health and Performance in Football Players

Sports, Год журнала: 2025, Номер 13(6), С. 170 - 170

Опубликована: Май 30, 2025

Air pollution is an escalating global concern with significant implications for human health and athletic performance. This narrative review synthesizes critically compares the current literature on impact of air football performance, elucidates physiological mechanisms involved, evaluates available mitigation strategies. Comparative studies consistently demonstrate that players—who frequently engage in high-intensity outdoor exercise—are particularly susceptible to harmful effects airborne pollutants such as particulate matter (PM), volatile organic compounds (VOCs), nitrogen dioxide (NO2), ozone (O3), carbon monoxide (CO). These bypass natural respiratory defenses due increased pulmonary ventilation during exercise, reaching deeper lung regions triggering oxidative stress, inflammation, impaired function. Evidence across indicates poor quality associated decreased including reduced distance covered, fewer efforts, elevated strain, diminished training adaptation. Long-term exposure exacerbates conditions, suppresses immune function, heightens risk illness injury. Furthermore, comparative genetic research highlights inter-individual variability sensitivity, specific gene variants conferring either vulnerability or resilience adverse effects. also explores practical emerging strategies—such timing avoid peak pollution, utilizing monitoring antioxidant-rich diets, promoting sustainable infrastructure—to safeguard athlete optimize Novel approaches training, anti-smog masks, indoor sessions, personalized recovery protocols offer additional protection support.

Язык: Английский

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Inhibitory neuron links the causal relationship from air pollution to psychiatric disorders: a large multi-omics analysis

Journal Of Big Data, Год журнала: 2024, Номер 11(1)

Опубликована: Сен. 11, 2024

Язык: Английский

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