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1.
Mucosal Immunol ; 17(2): 257-271, 2024 Apr.
Article in English | MEDLINE | ID: mdl-38340986

ABSTRACT

Chemotherapy and radiotherapy frequently lead to intestinal damage. The mechanisms governing the repair or regeneration of intestinal damage are still not fully elucidated. Intraepithelial lymphocytes (IELs) are the primary immune cells residing in the intestinal epithelial layer. However, whether IELs are involved in intestinal epithelial injury repair remains unclear. Here, we found that IELs rapidly infiltrated the intestinal crypt region and are crucial for the recovery of the intestinal epithelium post-chemotherapy. Interestingly, IELs predominantly promoted intestinal regeneration by modulating the proliferation of transit-amplifying (TA) cells. Mechanistically, the expression of CD160 on IELs allows for interaction with herpes virus entry mediator (HVEM) on the intestinal epithelium, thereby activating downstream nuclear factor kappa (NF-κB) signaling and further promoting intestinal regeneration. Deficiency in either CD160 or HVEM resulted in reduced proliferation of intestinal progenitor cells, impaired intestinal damage repair, and increased mortality following chemotherapy. Remarkably, the adoptive transfer of CD160-sufficient IELs rescued the Rag1 deficient mice from chemotherapy-induced intestinal inflammation. Overall, our study underscores the critical role of IELs in intestinal regeneration and highlights the potential applications of targeting the CD160-HVEM axis for managing intestinal adverse events post-chemotherapy and radiotherapy.


Subject(s)
Intraepithelial Lymphocytes , Receptors, Immunologic , Animals , Mice , Receptors, Immunologic/metabolism , Intraepithelial Lymphocytes/metabolism , Signal Transduction , Intestines , Intestinal Mucosa/metabolism , Regeneration
2.
Adv Sci (Weinh) ; 9(6): e2103303, 2022 02.
Article in English | MEDLINE | ID: mdl-35018740

ABSTRACT

Innate lymphoid cells (ILCs) are crucial in orchestrating immunity and maintaining tissue homeostasis in various barrier tissues, but whether ILCs influence immune responses in the urinary tract remains poorly understood. Here, bladder-resident ILCs are comprehensively explored and identified their unique phenotypic and developmental characteristics. Notably, bladder-resident ILCs rapidly respond to uropathogenic Escherichia coli (UPEC) infection. It is found that ILC3 is necessary for early protection against UPEC infection in the bladder. Mechanistically, UPEC infection leads to interleukin (IL)-1ß production in the bladder via a MyD88-dependent pathway, which promotes ILC3 activation. ILC3-expressed IL-17A further recruits neutrophils and controls UPEC infection in the bladder. Together, these results demonstrate a critical role for bladder ILCs in the host defense against UPEC infection.


Subject(s)
Escherichia coli Infections/immunology , Escherichia coli Infections/prevention & control , Immunity, Innate/immunology , Urinary Tract Infections/immunology , Urinary Tract Infections/prevention & control , Uropathogenic Escherichia coli/immunology , Animals , Disease Models, Animal , Lymphocytes/immunology , Mice , Mice, Inbred C57BL , Urinary Bladder/immunology
3.
Comput Intell Neurosci ; 2016: 8341275, 2016.
Article in English | MEDLINE | ID: mdl-26941785

ABSTRACT

Recently, teaching-learning-based optimization (TLBO), as one of the emerging nature-inspired heuristic algorithms, has attracted increasing attention. In order to enhance its convergence rate and prevent it from getting stuck in local optima, a novel metaheuristic has been developed in this paper, where particular characteristics of the chaos mechanism and Lévy flight are introduced to the basic framework of TLBO. The new algorithm is tested on several large-scale nonlinear benchmark functions with different characteristics and compared with other methods. Experimental results show that the proposed algorithm outperforms other algorithms and achieves a satisfactory improvement over TLBO.


Subject(s)
Algorithms , Artificial Intelligence , Learning , Nonlinear Dynamics , Problem Solving , Teaching , Humans , Motion , Probability
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