scholarly journals How a well-adapting immune system remembers

2019 ◽  
Vol 116 (18) ◽  
pp. 8815-8823 ◽  
Author(s):  
Andreas Mayer ◽  
Vijay Balasubramanian ◽  
Aleksandra M. Walczak ◽  
Thierry Mora

An adaptive agent predicting the future state of an environment must weigh trust in new observations against prior experiences. In this light, we propose a view of the adaptive immune system as a dynamic Bayesian machinery that updates its memory repertoire by balancing evidence from new pathogen encounters against past experience of infection to predict and prepare for future threats. This framework links the observed initial rapid increase of the memory pool early in life followed by a midlife plateau to the ease of learning salient features of sparse environments. We also derive a modulated memory pool update rule in agreement with current vaccine-response experiments. Our results suggest that pathogenic environments are sparse and that memory repertoires significantly decrease infection costs, even with moderate sampling. The predicted optimal update scheme maps onto commonly considered competitive dynamics for antigen receptors.

2018 ◽  
Author(s):  
Andreas Mayer ◽  
Vijay Balasubramanian ◽  
Aleksandra M. Walczak ◽  
Thierry Mora

An adaptive agent predicting the future state of an environment must weigh trust in new observations against prior experiences. In this light, we propose a view of the adaptive immune system as a dynamic Bayesian machinery that updates its memory repertoire by balancing evidence from new pathogen encounters against past experience of infection to predict and prepare for future threats. This framework links the observed initial rapid increase of the memory pool early in life followed by a mid-life plateau to the ease of learning salient features of sparse environments. We also derive a modulated memory pool update rule in agreement with current vaccine response experiments. Our results suggest that pathogenic environments are sparse and that memory repertoires significantly decrease infection costs even with moderate sampling. The predicted optimal update scheme maps onto commonly considered competitive dynamics for antigen receptors.


Author(s):  
Reinhard E. Voll ◽  
Barbara M. Bröker

The innate and the adaptive immune system efficiently cooperate to protect us from infections. The ancient innate immune system, dating back to the first multicellular organisms, utilizes phagocytic cells, soluble antimicrobial peptides, and the complement system for an immediate line of defence against pathogens. Using a limited number of germline-encoded pattern recognition receptors including the Toll-like, RIG-1-like, and NOD-like receptors, the innate immune system recognizes so-called pathogen-associated molecular patterns (PAMPs). PAMPs are specific for groups of related microorganisms and represent highly conserved, mostly non-protein molecules essential for the pathogens’ life cycles. Hence, escape mutants strongly reduce the pathogen’s fitness. An important task of the innate immune system is to distinguish between harmless antigens and potentially dangerous pathogens. Ideally, innate immune cells should activate the adaptive immune cells only in the case of invading pathogens. The evolutionarily rather new adaptive immune system, which can be found in jawed fish and higher vertebrates, needs several days to mount an efficient response upon its first encounter with a certain pathogen. As soon as antigen-specific lymphocyte clones have been expanded, they powerfully fight the pathogen. Importantly, memory lymphocytes can often protect us from reinfections. During the development of T and B lymphocytes, many millions of different receptors are generated by somatic recombination and hypermutation of gene segments making up the antigen receptors. This process carries the inherent risk of autoimmunity, causing most inflammatory rheumatic diseases. In contrast, inadequate activation of the innate immune system, especially activation of the inflammasomes, may cause autoinflammatory syndromes.


2016 ◽  
Vol 75 (3) ◽  
pp. 74-84 ◽  
Author(s):  
A.E. Abaturov ◽  
◽  
E.A. Agafonova ◽  
N.I. Abaturova ◽  
V.L. Babich ◽  
...  

2021 ◽  
Vol 8 (8) ◽  
pp. 2004979
Author(s):  
Jun‐Young Park ◽  
Sung Jean Park ◽  
Jun Young Park ◽  
Sang‐Hyun Kim ◽  
Song Kwon ◽  
...  

2021 ◽  
pp. 1-19
Author(s):  
Sonia George ◽  
Trevor Tyson ◽  
Nolwen L. Rey ◽  
Rachael Sheridan ◽  
Wouter Peelaerts ◽  
...  

Background: α-Synuclein (α-syn) is the predominant protein in Lewy-body inclusions, which are pathological hallmarks of α- synucleinopathies, such as Parkinson’s disease (PD) and multiple system atrophy (MSA). Other hallmarks include activation of microglia, elevation of pro-inflammatory cytokines, as well as the activation of T and B cells. These immune changes point towards a dysregulation of both the innate and the adaptive immune system. T cells have been shown to recognize epitopes derived from α-syn and altered populations of T cells have been found in PD and MSA patients, providing evidence that these cells can be key to the pathogenesis of the disease. Objective To study the role of the adaptive immune system with respect to α-syn pathology. Methods: We injected human α-syn preformed fibrils (PFFs) into the striatum of immunocompromised mice (NSG) and assessed accumulation of phosphorylated α-syn pathology, proteinase K-resistant α-syn pathology and microgliosis in the striatum, substantia nigra and frontal cortex. We also assessed the impact of adoptive transfer of naïve T and B cells into PFF-injected immunocompromised mice. Results: Compared to wildtype mice, NSG mice had an 8-fold increase in phosphorylated α-syn pathology in the substantia nigra. Reconstituting the T cell population decreased the accumulation of phosphorylated α-syn pathology and resulted in persistent microgliosis in the striatum when compared to non-transplanted mice. Conclusion: Our work provides evidence that T cells play a role in the pathogenesis of experimental α-synucleinopathy.


mBio ◽  
2016 ◽  
Vol 7 (3) ◽  
Author(s):  
Alexander P. Hynes ◽  
Simon J. Labrie ◽  
Sylvain Moineau

ABSTRACT The adaptive immune system of prokaryotes, called CRISPR-Cas (clustered regularly interspaced short palindromic repeats and CRISPR-associated genes), results in specific cleavage of invading nucleic acid sequences recognized by the cell’s “memory” of past encounters. Here, we exploited the properties of native CRISPR-Cas systems to program the natural “memorization” process, efficiently generating immunity not only to a bacteriophage or plasmid but to any specifically chosen DNA sequence. IMPORTANCE CRISPR-Cas systems have entered the public consciousness as genome editing tools due to their readily programmable nature. In industrial settings, natural CRISPR-Cas immunity is already exploited to generate strains resistant to potentially disruptive viruses. However, the natural process by which bacteria acquire new target specificities (adaptation) is difficult to study and manipulate. The target against which immunity is conferred is selected stochastically. By biasing the immunization process, we offer a means to generate customized immunity, as well as provide a new tool to study adaptation.


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