Background: Experimental and cross-sectional evidence has suggested a potential role of infection in the ethology of Parkinson's disease (PD). We aim to examine the longitudinal association of infections with the incidence of PD and to explore whether the increased risk is limited to specific infection type rather than infection burden.
Methods: Based on the UK Biobank, hospital-treated infectious diseases and incident PD were ascertained through record linkage to national hospital inpatient registers. Infection burden was defined as the sum of the number of infection episodes over time and the number of co-occurring infections. The polygenic risk score (PRS) for PD was calculated. The genome-wide association studies (GWAS) used in two-sample Mendelian Randomization (MR) were obtained from observational cohort participants of mostly European ancestry.
Results: Hospital-treated infectious diseases were associated with an increased risk of PD (adjusted HR [aHR] 1.35 [95 % CI 1.20-1.52]). This relationship persisted when analyzing new PD cases occurring more than 10 years post-infection (aHR 1.22 [95 % CI 1.04-1.43]). The greatest PD risk was observed in neurological/eye infection (aHR 1.72 [95 % CI 1.32-2.34]), with lower respiratory tract infection (aHR 1.43 [95 % CI 1.02-1.99]) ranked the second. A dose-response association was observed between infection burden and PD risk within each PD-PRS tertile (p-trend < 0.001). Multivariable MR showed that bacterial and viral infections increase the PD risk.
Conclusions: Both observational and genetic analysis suggested a causal association between infections and the risk of developing PD. A dose-response relationship between infection burden and incident PD was revealed.
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http://dx.doi.org/10.1016/j.bbi.2024.06.016 | DOI Listing |
EBioMedicine
November 2024
Department of Clinical Immunology, Aarhus University Hospital, Aarhus, Denmark.
Prev Med
December 2024
Department of Biostatistics, Key Laboratory for Health Technology Assessment, National Commission of Health, Key Laboratory of Public Health Safety of Ministry of Education, School of Public Health, Fudan University, Shanghai 200032, China. Electronic address:
Chest
January 2025
Bioscience and Biomedical Engineering Thrust (J. Z. and S.T.), Systems Hub, The Hong Kong University of Science and Technology (Guangzhou), Guangzhou, China; Division of Emerging Interdisciplinary Areas (S. T.), Center for Aging Science, Hong Kong University of Science and Technology, Clear Water Bay, Hong Kong, China. Electronic address:
Background: Although infections play a role in the development of lung cancer, the longitudinal association between infection and the risk of lung cancer is disputed, and data relating to pathogen types and infection sites are sparse.
Research Question: How do infections affect subsequent lung cancer risk, and is the impact limited to specific microbes rather than infection burden?
Study Design And Methods: Data on > 900 infectious diseases were gathered from the UK Biobank study. Short- and long-term effects of infections were assessed by using time-varying Cox proportional hazards models.
Diabetes Metab Syndr
June 2024
Bioscience and Biomedical Engineering Thrust, Systems Hub, The Hong Kong University of Science and Technology (Guangzhou), Guangzhou, Guangdong, China; Division of Emerging Interdisciplinary Areas, The Hong Kong University of Science and Technology, Clear Water Bay, Hong Kong SAR, China. Electronic address:
Background: The longitudinal association between infectious diseases and the risk of type 2 diabetes (T2D) remains unclear.
Methods: Based on the UK Biobank, the prospective cohort study included a total of 396,080 participants without diabetes at baseline. We determined the types and sites of infectious diseases and incident T2D using the International Classification of Diseases 10th Revision codes (ICD-10).
Brain Behav Immun
August 2024
Bioscience and Biomedical Engineering Thrust, Systems Hub, The Hong Kong University of Science and Technology (Guangzhou), Guangzhou, Guangdong, China; Division of Emerging Interdisciplinary Areas, Center for Aging Science, The Hong Kong University of Science and Technology, Clear Water Bay, Hong Kong, China. Electronic address:
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