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Novel insights into host-pathogen interactions of large yellow croakers(Larimichthys crocea)and pathogenic bacterium Pseudomonas plecoglossicida using time-resolved dual RNA-seq of infected spleens

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Zoological Research 2020年第3期41卷 314-327页

作者： Yi Tang Ge Xin Ling-Min Zhao Li-Xing Huang Ying-Xue Qin Yong-Quan Su Wei-Qiang Zheng Bin Wu Nan Lin Qing-Pi Yan Fisheries College Key Laboratory of Healthy Mariculture for the East China SeaMinistry of AgricultureJimei UniversityXiamenFujian 361021China State Key Laboratory of Large Yellow Croaker Breeding Ningde Fufa Aquatic Products Co.Ltd.NingdeFujian 352000China Fujian Provincial Fishery Technical Extention Center FuzhouFujian 350003China

host-pathogen interactions are highly complex,involving large dynamic changes in gene expression during infection. These interactions are fundamental to understanding anti-infection immunity of hosts, as well as the pathogenesis of pathogens. For bacterial pathogens interacting with animal hosts, timeresolved dual RNA-seq of infected tissue is difficult to perform due to low pathogen load in infected tissue. In this study, an acute infection model of Larimichthys crocea infected by Pseudomonas plecoglossicida was established. The spleens of infected fish exhibited typical symptoms, with a maximum bacterial load at two days post-injection(dpi). Time-resolved dual RNA-seq of infected spleens was successfully applied to study hostpathogen interactions between L. crocea and ***. The spleens of infected L. crocea were subjected to dual RNA-seq, and transcriptome data were compared with those of noninfected spleens or in vitro cultured bacteria. Results showed that pathogen-host interactions were highly dynamically regulated, with corresponding fluctuations in host and pathogen transcriptomes during infection. The expression levels of many immunogenes involved in cytokine-cytokine receptor,Toll-like receptor signaling, and other immunerelated pathways were significantly up-regulated during the infection period. Furthermore, metabolic processes and the use of oxygen in L. crocea were strongly affected by P. plecoglossicida infection. The WGCNA results showed that the metabolic process was strongly related to the entire immune *** P. plecoglossicida, the expression levels of motility-related genes and flagellum assemblyrelated genes were significantly up-regulated. The results of this study may help to elucidate the interactions between L. crocea and ***.

关键词： Larimichthys crocea Pseudomonas plecoglossicida Dual RNA-seq host-pathogen interactions Dynamic transcriptome

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A mathematic equation derived from host-pathogen interactions elucidates the significance of integrating modern medicine with traditional Chinese medicine to treat infectious diseases

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Journal of Integrative Medicine 2023年第4期21卷 324-331页

作者： Jianjun Sun Department of Biological Sciences Border Biomedical Research CenterUniversity of Texas at El PasoTX 79968USA

The prognosis of infectious diseases is determined by host-pathogen *** of pathogens has been the central dogma of treating infectious diseases in modern medicine,but the pathogen-directed medicine is facing significant challenges,including a lack of effective antimicrobials for newly emerging pathogens,pathogen drug resistance,and drug side ***,a mathematic equation(ter-med equation of host-pathogen interactions,HPI-Equation)is developed to dissect the key variables of hostpathogen *** shows that control of pathogens does not necessarily lead to host ***,a combination of promoting a host’s power of self-healing and balancing immune responses provides the best benefit for ***,the HPI-Equation elucidates the scientific basis of traditional Chinese medicine(TCM),a host-based medicine that treats infectious diseases by promot-ing self-healing power and balancing immune *** importance of self-healing power eluci-dated in the HPIEquation is confirmed by recent studies that the tolerance mechanism,which is discovered in plants and animals and conceptually similar to self-healing power,improves host survival without directly attacking *** summary,the HPI-Equation describes host-pathogen interac-tions with mathematical logic and precision;it translates the ancient wisdoms of TCM into apprehen-sible modern sciences and opens a new venue for integrating TCM and modern medicine for a future medicine.

关键词： host-pathogen interactions HPI-Equation pathogen-targeted medicine host-based medicine Traditional Chinese medicine Self-healing power Immune response Tolerance

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Mass spectrometry-based proteomic approaches to study pathogenic bacteria-host interactions

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Protein & Cell 2015年第4期6卷 265-274页

作者： Yufei Yang Mo Hu Kaiwen Yu Xiangmei Zeng Xiaoyun Liu Institute of Analytical Chemistry and Synthetic and Functional Biomolecules Center College of Chemistry and MolecularEnclineerinq Pekinq University Beijing 100871 China

Elucidation of molecular mechanisms underlying host- pathogen interactions is important for control and treatment of infectious diseases worldwide. Within the last decade, mass spectrometry （MS）-based proteomics has become a powerful and effective approach to better understand complex and dynamic host-pathogen inter- actions at the protein level. Herein we will review the recent progress in proteomic analyses towards bacterial infection of their mammalian host with a particular focus on enteric pathogens. Large-scale studies of dynamic proteomic alterations during infection will be discussed from the perspective of both pathogenic bacteria and host cells.

关键词： mass spectrometry proteomics bacterial infection host-pathogen interactions

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