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Background: Atopic dermatitis (AD) is a chronic inflammatory skin condition characterized by itching and rashes, influenced by genetic, environmental, and immune factors. Despite significant research, the molecular mechanisms underlying AD are not fully understood. This study aims to integrate single-cell RNA sequencing (scRNA-seq) with Mendelian Randomization (MR) to uncover genetic and metabolic pathways contributing to AD.
Materials And Methods: Data from scRNA-seq and bulk RNA sequencing datasets were analyzed to identify differentially expressed genes. The edgeR package was used for differential expression analysis, and candidate genes were explored using MR, employing eQTL data to determine causal relationships with AD. The inverse variance weighted method facilitated MR analysis, while gene set enrichment analysis (GSEA) was used to identify pathways associated with AD. Single-cell analysis was performed with the Seurat package to explore cellular heterogeneity, and pseudotime and cellular communication analyses were conducted to understand cell differentiation and interactions in AD.
Results: The study identified key genes-PCLAF, MICB, CHAD, and CA4-linked to AD, with PCLAF notably acting as a risk factor. These genes are involved in cell cycle regulation, immune evasion, cell adhesion, and metabolic processes. The MR analysis highlighted lipid, amino acid, and energy metabolism as critical pathways in AD. Single-cell analysis revealed increased cellular communication in AD, especially in Langerhans cells, keratinocytes, and T cells, signifying dysregulated immune responses and inflammatory pathways. Pseudotime analysis indicated abnormal differentiation trajectories in these cell types.
Conclusion: Our study highlights the importance of PCLAF in the pathogenesis of AD, indicating it as a potential target for future therapeutic strategies aimed at alleviating the disease by addressing genetic and metabolic disruptions.
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http://dx.doi.org/10.2147/CCID.S506139 | DOI Listing |
Invest Ophthalmol Vis Sci
September 2025
Department of Ophthalmology, Tangdu Hospital, The Fourth Military Medical University, Xi'an, China.
Purpose: To explore the causal links between antihypertension drugs usage and age-related macular degeneration (AMD).
Methods: Multiple genetic analyses, including summary data-based Mendelian randomization (SMR), traditional MR, and colocalization analysis, were used to explore the causal associations between antihypertension drugs and AMD. Clinical data from the UK Biobank and the National Health and Nutrition Examination Survey (NHANES) was applied to refined risk assessment of specific antihypertensive medications in the context of AMD development.
Int J Surg
September 2025
Zigong First People's Hospital, Zigong, People's Republic of China.
Am J Med Genet B Neuropsychiatr Genet
September 2025
The Central Lab, the Second Affiliated Hospital of Kunming Medical University, Kunming, Yunnan, People's Republic of China.
Autism spectrum disorder (ASD) is a neurodevelopmental condition that is increasingly linked to immune dysfunction and neuroinflammation. Regulatory T cells (Tregs), which are crucial in maintaining immune homeostasis, have been implicated in the pathogenesis of ASD. However, their role in neuroimmune interactions and behavioral outcomes remains poorly understood.
View Article and Find Full Text PDFProtein Cell
August 2025
Department of Neurology and National Center for Neurological Disorders, Huashan Hospital, State Key Laboratory of Medical Neurobiology and MOE Frontiers Center for Brain Science, Fudan University, Shanghai 200433, China.
Cardiovascular disease (CVD) research is hindered by limited comprehensive analyses of plasma proteome across disease subtypes. Here, we systematically investigated the associations between plasma proteins and cardiovascular outcomes in 53,026 UK Biobank participants over a 14-year follow-up. Association analyses identified 3,089 significant associations involving 892 unique protein analytes across 13 CVD outcomes.
View Article and Find Full Text PDFHealth Sci Rep
September 2025
Department of Dermatology the Union Hospital, Fujian Medical University Fuzhou People's Republic of China.
Background And Aims: Several observational studies have reported inconsistent associations between dyslipidaemia, stains use and atopic dermatitis (AD). Nevertheless, the available data on the effects of -C-lowering as well as TG-lowering drugs remain inconclusive and limited. The aim of this study was to evaluate the causal association of lipid traits and long-term use of lipid-lowering drugs on AD risk.
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