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Phytophthora species are destructive plant pathogens that cause severe economic losses in agriculture and natural ecosystems, known for their rapid spread through soil and water and resistance to conventional control methods. Understanding the complex signaling networks activated in plants during Phytophthora infection is crucial for developing effective management strategies. This review summarizes research findings on Phytophthora-plant interactions, with special emphasis on Phytophthora-plant microbiome interactions. Initially, molecular mechanisms involved in the plant response to Phytophthora infection are discussed, further emphasizing key signaling pathways activated by Phytophthora in host plants. The role of phytohormones in imparting resistance to Phytophthora infections is explored in depth. Additionally, the interaction and effects of Phytophthora and the plant immune system with the plant microbiome are examined, highlighting how these interactions facilitate disease and/or aid in plant defense. Various biotechnological approaches for enhancing plant resistance to Phytophthora, including recent technologies like CRISPR-Cas systems, are also reviewed. The conclusion addresses the need for further research into signaling networks within Phytophthora-plant-microbiome interactions and their future implications for crop protection.
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http://dx.doi.org/10.1016/j.plaphy.2025.110222 | DOI Listing |
Comput Methods Biomech Biomed Engin
September 2025
Institute of Radio Physics and Electronics, University of Calcutta, Kolkata, India.
Parkinson's disease (PD) is a neurodegenerative condition that impairs motor functions. Accurate and early diagnosis is essential for enhancing well-being and ensuring effective treatment. This study proposes a deep learning-based approach for PD detection using EEG signals.
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September 2025
Department of Thoracic Surgery, Shenzhen People's Hospital (The First Affiliated Hospital, Southern University of Science and Technology; The Second Clinical Medical College, Jinan University), Shenzhen, Guangdong, China.
Background: Lung cancer remains the leading cause of cancer-related mortality globally, primarily due to late-stage diagnosis, molecular heterogeneity, and therapy resistance. Key biomarkers such as EGFR, ALK, KRAS, and PD-1 have revolutionized precision oncology; however, comprehensive structural and clinical validation of these targets is crucial to enhance therapeutic efficacy.
Methods: Protein sequences for EGFR, ALK, KRAS, and PD-1 were retrieved from UniProt and modeled using SWISS-MODEL to generate high-confidence 3D structures.
Front Immunol
September 2025
Department of Pediatrics, Taichung Veterans General Hospital, Taichung, Taiwan.
Introduction: Human papillomavirus (HPV) infection has been implicated in autoimmune processes, yet concerns remain about the potential autoimmune risks of HPV vaccination. Juvenile idiopathic arthritis (JIA) is a chronic autoimmune condition that typically manifests in childhood. The relationship between HPV vaccination and the development of JIA remains uncertain.
View Article and Find Full Text PDFFront Endocrinol (Lausanne)
September 2025
Dongzhimen Hospital, Beijing University of Chinese Medicine, Beijing, China.
Objective: This study aimed to investigate comorbidity patterns and potential pathogenic mechanisms in patients with Hashimoto's thyroiditis (HT).
Methods: Patients with HT who visited the outpatient clinic of the Thyroid Department at Dongzhimen Hospital, Beijing University of Chinese Medicine, between June 2021 and December 2024 were included. Association rule analysis and logistic regression analysis were performed using SPSS 25.
Chem Sci
September 2025
Institute of Optical Materials and Chemical Biology, Guangxi Key Laboratory of Electrochemical Energy Materials, School of Chemistry and Chemical Engineering, Guangxi University Nanning Guangxi 530004 China
As a cutting-edge super-resolution imaging technique, structured illumination microscopy (SIM) has been widely used in cell biology research, especially in the analysis of subcellular organelles and monitoring of their dynamic processes. Through multiple illumination and reconstruction processes, SIM breaks through the resolution limitations of traditional microscopes and can observe the fine structures within cells in real time with nanoscale resolution. This provides strong technical support for in-depth analyses of molecular mechanisms, organelle functions, signaling networks, and metabolic regulatory pathways within cells.
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