scholarly journals Lymph node inspired computing: towards holistic immune system inspired algorithms for human-engineered complex systems

Author(s):  
Soumya Banerjee

The immune system is a distributed decentralized system that functions without any centralized control. The immune system has millions of cells that function somewhat independently and can detect and respond to pathogens with considerable speed and efficiency. Lymph nodes are physical anatomical structures that allow the immune system to rapidly detect pathogens and mobilize cells to respond to it. Lymph nodes function as: 1) information processing centers, and 2) a distributed detection and response network. We introduce biologically inspired computing that uses lymph nodes as inspiration. We outline applications to diverse domains like mobile robots, distributed computing clusters, peer-to-peer networks and online social networks. We argue that lymph node inspired computing systems provide powerful metaphors for distributed computing and complement existing artificial immune systems. We view our work as a first step towards holistic simulations of the immune system that would capture all the complexities and the power of a complex adaptive system like the immune system. Ultimately this would lead to holistic immune system inspired computing that captures all the complexities and power of the immune system in human-engineered complex systems.

2019 ◽  
Author(s):  
Soumya Banerjee

The immune system is a distributed decentralized system that functions without any centralized control. The immune system has millions of cells that function somewhat independently and can detect and respond to pathogens with considerable speed and efficiency. Lymph nodes are physical anatomical structures that allow the immune system to rapidly detect pathogens and mobilize cells to respond to it. Lymph nodes function as: 1) information processing centers, and 2) a distributed detection and response network. We introduce biologically inspired computing that uses lymph nodes as inspiration. We outline applications to diverse domains like mobile robots, distributed computing clusters, peer-to-peer networks and online social networks. We argue that lymph node inspired computing systems provide powerful metaphors for distributed computing and complement existing artificial immune systems. We view our work as a first step towards holistic simulations of the immune system that would capture all the complexities and the power of a complex adaptive system like the immune system. Ultimately this would lead to holistic immune system inspired computing that captures all the complexities and power of the immune system in human-engineered complex systems.


2017 ◽  
Author(s):  
Soumya Banerjee

The immune system is a distributed decentralized system that functions without any centralized control. The immune system has millions of cells that function somewhat independently and can detect and respond to pathogens with considerable speed and efficiency. Lymph nodes are physical anatomical structures that allow the immune system to rapidly detect pathogens and mobilize cells to respond to it. Lymph nodes function as: 1) information processing centers, and 2) a distributed detection and response network. We introduce biologically inspired computing that uses lymph nodes as inspiration. We outline applications to diverse domains like mobile robots, distributed computing clusters, peer-to-peer networks and online social networks. We argue that lymph node inspired computing systems provide powerful metaphors for distributed computing and complement existing artificial immune systems. We view our work as a first step towards holistic simulations of the immune system that would capture all the complexities and the power of a complex adaptive system like the immune system. Ultimately this would lead to holistic immune system inspired computing that captures all the complexities and power of the immune system in human-engineered complex systems.


2019 ◽  
Author(s):  
Soumya Banerjee

The immune system is a distributed decentralized system that functions without any centralized control. The immune system has millions of cells that function somewhat independently and can detect and respond to pathogens with considerable speed and efficiency. Lymph nodes are physical anatomical structures that allow the immune system to rapidly detect pathogens and mobilize cells to respond to it. Lymph nodes function as: 1) information processing centers, and 2) a distributed detection and response network. We introduce biologically inspired computing that uses lymph nodes as inspiration. We outline applications to diverse domains like mobile robots, distributed computing clusters, peer-to-peer networks and online social networks. We argue that lymph node inspired computing systems provide powerful metaphors for distributed computing and complement existing artificial immune systems. We view our work as a first step towards holistic simulations of the immune system that would capture all the complexities and the power of a complex adaptive system like the immune system. Ultimately this would lead to holistic immune system inspired computing that captures all the complexities and power of the immune system in human-engineered complex systems.


2019 ◽  
Vol 88 (4) ◽  
pp. 218-226
Author(s):  
Jakub Żurawski ◽  
Patrycja Talarska ◽  
Stanisław Łazowski ◽  
Marcin Grochowalski ◽  
Jacek Karoń

Introduction. There is not much data about the composition of populations of the immune system in acute appendicitis. The basic histopathological criterion for the diagnosis of acute appendicitis is neutrophil infiltration of the muscle membrane. Aim. The subject of this publication is a semi-quantitative evaluation of B lymphocytes (CD20+), T lymphocytes (CD3+) and macrophages (CD68+), and the determination of the number of active lymph nodes during the course of inflammation.Material and Methods. The study material was obtained from 79 patients who had an appendectomy due to acute appendicitis. In this group, the tissue was obtained from: 34 women (aged 20 to 91) and 45 men (aged 20 to 72).Results. In the course of acute appendicitis, there is involvement of lymph node B lymphocytes, T lymphocytes and macrophages. Independent of the type of inflammation, the cellular make-up of the nodes is similar. The number of lymph nodes decreases with age and is gender dependent.Conclusions. In the course of acute appendicitis, there is involvement of lymph node B lymphocytes, T lymphocytes and macrophages. The number of lymph nodes decreases with age and is gender dependent. A statistically significant number of the examined cells of the immunological system in the lymph nodes changed due to inflammation (p<0.001). B and T lymphocytes in the lymph nodes and in the mucous membrane of the appendix differed depending on the sex, and the presence of B lymphocytes in the mucous membrane was significantly higher in the group of 20-40 years of age. T lymphocytes were predominant in the centres of the lymph nodes in groups 20-40 and 61-91 years of age, and in the peripheral zones in the group of 41-60 years of age.


2019 ◽  
Author(s):  
soumya banerjee

The immune system can detect and respond against pathogens in time that does not varywith the size of the host animal. We suggest that this is due to the architecture of lymphnodes. Lymph nodes are anatomical structures that facilitate the otherwise serendipitousencounter of immune system cells with pathogens. We develop two complementarymathematical approaches to derive the optimal distribution of lymph nodes that enable arapid immune response. Our work gives insights into the optimal design and architectureof the immune system and provides valuable inspiration for designing efficientcomputing systems.


Author(s):  
Laurel D Quirke ◽  
Paul H Maclean ◽  
Neville A Haack ◽  
Sara J Edwards ◽  
Axel Heiser ◽  
...  

Abstract Modulation of the immune system is known to be important for successful pregnancy but how immune function might differ between the lymph nodes draining the reproductive tract and peripheral lymph nodes is not well understood. Additionally, if immune system changes in response to the presence of an embryo during early pregnancy, and if this response differs in local versus peripheral immune tissue, has not been well characterized. To address these questions, we examined expression of genes important for immune function using NanoString technology in the ampulla and isthmus of the oviduct, endometrium, lymph nodes draining the reproductive tract (lumbo-aortic and medial iliac) as well as a peripheral lymph node (axillary), the spleen and circulating immune cells from ewes on day 5 of the estrous cycle or pregnancy. Concentrations of estradiol and progesterone in plasma were also determined. Principal component analysis revealed separation of the local from the peripheral lymph nodes (MANOVA P = 3.245e-08, R 2 = 0.3) as well as separation of tissues from pregnant and non-pregnant animals [lymph nodes (MANOVA P = 2.337e-09, R 2 = 0.5), reproductive tissues (MANOVA P = 2.417e-14, R 2 = 0.47)]. Nine genes were differentially (FDR &lt;0.10) expressed between lymph node types, with clear difference in expression of these genes between the lumbo-aortic and axillary lymph nodes. Expression of these genes in the medial iliac lymph node was not consistently different to either the axillary or the lumbo-aortic lymph node. Expression of IL10RB was increased (P &lt; 0.05) by 24% in the reproductive tissue of the pregnant animals comparing to non-pregnant animals. Analysis of gene categories revealed that expression of genes of the T cell receptor pathway in reproductive tract tissues was associated (P &lt; 0.05) with pregnancy status. In conclusion, assessment of gene expression of reproductive and immune tissue provides evidence for a specialization of the local immune system around the reproductive tract potentially important for successful establishment of pregnancy. Additionally, differences in gene expression patterns in reproductive tissue from pregnant and non-pregnant animals could be discerned as early as day 5 of pregnancy. This was found to be associated with expression of genes important for T-cell function and thus highlights the important role of these cells in early pregnancy.


Author(s):  
O. Faroon ◽  
F. Al-Bagdadi ◽  
T. G. Snider ◽  
C. Titkemeyer

The lymphatic system is very important in the immunological activities of the body. Clinicians confirm the diagnosis of infectious diseases by palpating the involved cutaneous lymph node for changes in size, heat, and consistency. Clinical pathologists diagnose systemic diseases through biopsies of superficial lymph nodes. In many parts of the world the goat is considered as an important source of milk and meat products.The lymphatic system has been studied extensively. These studies lack precise information on the natural morphology of the lymph nodes and their vascular and cellular constituent. This is due to using improper technique for such studies. A few studies used the SEM, conducted by cutting the lymph node with a blade. The morphological data collected by this method are artificial and do not reflect the normal three dimensional surface of the examined area of the lymph node. SEM has been used to study the lymph vessels and lymph nodes of different animals. No information on the cutaneous lymph nodes of the goat has ever been collected using the scanning electron microscope.


1965 ◽  
Vol 05 (01) ◽  
pp. 1-11
Author(s):  
G. Fava ◽  
L. Roncoroni

SummaryAn account is given of the principles of lymph node dosimetry in radioisotope therapy with Lipiodol 131J. After a general introduction, exact data on the concentrations reached by the radionuclide in the lymph nodes, liver, spleen, thyroid and blood of patients subjected to this treatment are reported. Finally mention is made of a number of particularly interesting autopsy findings.


2002 ◽  
Vol 41 (02) ◽  
pp. 102-107 ◽  
Author(s):  
J. Kopp ◽  
H. Vogt ◽  
F. Wawroschek ◽  
S. Gröber ◽  
R. Dorn ◽  
...  

Summary Aim: To visualise the sentinel lymph nodes (SLNs) of the prostate we injected the radiotracer into the parenchyma of the prostate. The activity was deposited in liver, spleen, bone marrow, urinary bladder and regional lymphatic system. The aim of this work is to determine biokinetical data and to estimate radiation doses to the patient. Methods: The patients with prostate cancer received a sonographically controlled, transrectal administration of 99mTc-Nanocoll®, injected directly into both prostate lobes. In 10 randomly selected patients radionuclide distribution and its time course was determined via regions of interest (ROIs) over prostate, urinary bladder, liver, spleen and the lymph nodes. The uptake in the SLNs was estimated from gamma probe measurements at the surgically removed nodes. To compare tumour positive with tumour free lymph nodes according to SLN-uptake and SLNlocalisation we evaluated 108 lymph nodes out of 24 patients with tumour positive SLN. For calculating the effective dose according to ICRP 60 of the patients we used the MIRD-method and the Mirdose 3.1 software. Results: The average uptake of separate organs was: bladder content 24%, liver 25.5%, spleen 2%, sum of SLN 0.5%. An average of 9% of the applied activity remained in the prostate. The residual activity was mainly accumulated in bone marrow and blood. Occasionally a weak activity enrichment in intestinal tract and kidneys could be recognized. The effective dose to the patient was estimated to 7.6 μSv/MBq. The radioactivity uptake of the SLN varied in several orders of magnitude between 0.006% and 0.6%. The probability of SLN-metastasis was found to be independent from tracer uptake in the lymph node. The radioactivity uptake of the SLNs in distinct lymph node regions showed no significant differences. Conclusion: The radiotracer is transferred out of the prostate via blood flow, by direct transfer via the urethra into the bladder and by lymphatic transport. Injecting a total activity of 200 MBq leads to a mean effective dose of 1.5 mSv. It is not recommended to use the tracer uptake in lymph nodes as the only criterion to characterize SLNs.


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