Skip to main content
Log in

Can an Engineer Fix an Immune System?–Rethinking theoretical biology

  • Regular Article
  • Published:
Acta Biotheoretica Aims and scope Submit manuscript

Abstract

In an instant classic paper (Lazebnik, in Cancer Cell 2(3); 2002: 179–182) biologist Yuri Lazebnik deplores the poor effectiveness of the approach adopted by biologists to understand and “fix” biological systems. Lazebnik suggests that to remedy this state of things biologist should take inspiration from the approach used by engineers to design, understand, and troubleshoot technological systems. In the present paper I substantiate Lazebnik’s analysis by concretely showing how to apply the engineering approach to biological problems. I use an actual example of electronic circuit troubleshooting to ground the thesis that, in engineering, the crucial phases of any non-trivial troubleshooting process are aimed at generating a mechanistic explanation of the functioning of the system, which makes extensive recourse to problem-driven qualitative reasoning possibly based on cognitive artifacts applied to systems that are known to have been designed for function. To show how to translate these findings into biological practice I consider a concrete example of biological model building and “troubleshooting”, aimed at the identification of a “fix” for the human immune system in presence of progressing cancer, autoimmune disease, and transplant rejection. The result is a novel immune system model—the danger model with regulatory cells— and new, original hypotheses concerning the development, prophylaxis, and therapy of these unwanted biological processes. Based on the manifest efficacy of the proposed approach, I suggest a refocusing of the activity of theoretical biologists along the engineering-inspired lines illustrated in the paper.

This is a preview of subscription content, log in via an institution to check access.

Access this article

Price excludes VAT (USA)
Tax calculation will be finalised during checkout.

Instant access to the full article PDF.

Fig. 1
Fig. 2
Fig. 3

Similar content being viewed by others

Notes

  1. Despite the presence of a few circuit schematics no knowledge of electronics is required to understand the gist of the argument developed in the paper.

  2. I propose the term “modeling envelope” for the range of conditions where the correspondence rules hold with the stipulated accuracy, taking inspiration from the term “operational envelope” used in electronic engineering to refer to the range of conditions where a circuit complies with the stipulated specifications.

  3. Some linguists consider language as a cognitive artifact that, by imposing sequentiality, fosters the appearance of a more articulate, analytic, and hierarchical form of thought relatively to non-linguistic forms. For example, taking inspiration form the 18th century philosopher Condillac, linguist Raffaele Simone distinguishes a simultaneous and a sequential form of intelligence. In his words, “signs are responsible for a real cognitive revolution in man, for they permit the transition from a merely simultaneous thinking to a sequential representation of ideas. ⋯ The thus gained successivity of ideas enhances the development of all the operations of mind and introduces a quite new principle of thinking” (Simone 1987, p.68)

  4. The physical transfer (rather than, say, simple inactivation or resorption) of the pMHC from APC to Treg is essential only to realize the second advantage described in the text.

  5. Tissue-restricted rather than the equally plausible tissue-specific to avoid a conflict of acronyms with “tumor-specific antigen”.

  6. Unless this capacity has been disabled by the mutations that led to uncontrolled proliferation.

  7. This little provocation was inspired by the following statement by Russo (Russo 2004, p. 18): “A simple criterion to verify whether a theory is “scientific” is to check whether one can compile an exercise manual; if that is not possible, it’s certainly not a scientific theory.”

  8. Note that if the sites where SMM are located are also sites of ectopic expression of host TRA, the corresponding tissues must be protected from inflammation during the therapy.

  9. In this description I am not considering the role of humoral immune response, whose model the DMR inherits from the DM. Taking it into account would lead to the possible production of antibodies for the TSA, which might opsonize the cells of the SMM and lead to their demise even without prior inflammation.

  10. Typically, molecular mimicry is considered as possible source of autoimmune attack rather than as a protective element (Fasano and Shea-Donohue 2005).

  11. Of course, and most importantly, the choice of the problem must remain a primary ethical concern of the scientist.

  12. “The qualitative study of phenomena [must] necessarily precede their quantitative study.”

References

  • Abbas AK, Lichtman AH, Pillai S (2012) Cellular and molecular immunology, 7th edn. Saunders, Philadelphia, PA

    Google Scholar 

  • Almeida ARM, Amado IF, Reynolds J, Berges J, Lythe G et al (2012) Quorum sensing in CD4+ T cell homeostasis: a hypothesis and a model. Front Immunol 3. doi:10.3389/fimmu.2012.00,125

  • Anderson MS, Venanzi ES, Klein L, Chen A, Berzins SP et al (2002) Projection of an immunological self shadow within the thymus by the Aire protein. Sci Agric 298(5597):1395–1401

    Article  Google Scholar 

  • Aranda-Anzaldo A (2001) Cancer development and progression: a non-adaptive process driven by genetic drift. Acta Biotheoretica 49(2):89–108

    Article  Google Scholar 

  • Bach J-F, Chatenoud L (2012) The hygiene hypothesis: an explanation for the increased frequency of insulin-dependent diabetes. Cold Spring Harbor Perspect Med 2(2). doi:10.1101/cshperspect.a007,799

  • Bailey-Bucktrout SL, Bluestone JA (2011) Regulatory T cells: stability revisited. Trends Immunol 32(7):301–306

    Article  Google Scholar 

  • Baronzio G, Freitas I (2008) Tumor microenvironment genesis and implications on cancer immune response. In: Kiselevsky MV (ed) Atlas effectors of anti-tumor immunity, chap 2. Springer, New York, pp 25–44

    Chapter  Google Scholar 

  • Belkaid Y (2007) Regulatory T cells and infection: a dangerous necessity. Nat Rev Immunol 7(11):875–888

    Article  Google Scholar 

  • Bernard C (1865) Introduction à l’étude de la médecine expérimentale. Bailliére, Paris

    Google Scholar 

  • Bousso P (2008) T-cell activation by dendritic cells in the lymph node: lessons from the movies. Nat Rev Immunol 8(9):675–684

    Article  Google Scholar 

  • Bredeweg B, Struss P (2004) Current topics in qualitative reasoning. AI Mag 24(4):13–16

    Google Scholar 

  • Byrne WL, Mills KHG, Lederer JA, O’Sullivan GC (2011) Targeting regulatory T cells in cancer. Cancer Res 71(22):6915–6920

    Article  Google Scholar 

  • Carmona Bayonas A (2011) An evolutionary explanation for the perturbation of the dynamics of metastatic tumors induced by surgery and acute inflammation. Cancers 3(1):945–970

    Article  Google Scholar 

  • Chen W, Ford MS, Young KJ, Zhang L (2004) The role and mechanisms of double negative regulatory T cells in the suppression of immune responses. Cell Mol Immunol 1(5):328–335

    Google Scholar 

  • Christen U, von Herrath MG (2005) Infections and autoimmunity—good or bad? J Immunol 174(12):7481–7486

    Google Scholar 

  • Clark A (2008) Supersizing the mind: embodiment, action, and cognitive extension. Oxford University Press, Oxford

    Google Scholar 

  • Collingwood RG (1978) An autobiography. Clarendon Press, Oxford

    Google Scholar 

  • Collingwood RG (2002) An essay on metaphysics, 3rd edn. Clarendon Press, Oxford

    Google Scholar 

  • Colombo MP, Piconese S (2007) Regulatory T-cell inhibition versus depletion: the right choice in cancer immunotherapy. Nat Rev Cancer 7(11):880–887

    Article  Google Scholar 

  • Coukos G, Benencia F (2009) Dendritic cells: from inducers of specific T-cell responses to promoters of angiogenesis: dendritic cells in cancer. In: Salter RD, Shurin MR (eds) Dendritic cells in cancer chap 16. Springer, Berlin, pp 231–241

    Chapter  Google Scholar 

  • Coyle PK (2011) MS: pathology and immunology. In: Rizvi SA, Coyle PK (eds) Clinical neuroimmunology: multiple sclerosis and related disorders, chap 3. Humana Press, New York, pp 43–69

    Google Scholar 

  • Craver CF (2007) Explaining the brain: mechanisms and the mosaic unity of neuroscience. Oxford University Press, Oxford

    Book  Google Scholar 

  • Curiel TJ, Coukos G et al. (2004) Specific recruitment of regulatory T cells in ovarian carcinoma fosters immune privilege and predicts reduced survival. Nat Med 10(9):942–949

    Article  Google Scholar 

  • Dalgleish AG, Haefner B (2006) The link between inflammation and cancer—wounds that do not heal. Springer, Berlin

    Book  Google Scholar 

  • Darden L (2007) Mechanisms and models. In: Hull DL, Ruse M (eds) The Cambridge companion to the philosophy of biology. Cambridge University Press, Cambridge, pp 139–159

    Chapter  Google Scholar 

  • Das B, Kashino SS, Pulu I, Kalita D et al. (2013) CD271+ bone marrow mesenchymal stem cells may provide a niche for dormant Mycobacterium tuberculosis. Sci Transl Med 5(170):170ra13

    Article  Google Scholar 

  • Davis DM (2007) Intercellular transfer of cell-surface proteins is common and can affect many stages of an immune response. Nat Rev Immunol 7(3):238–243

    Article  Google Scholar 

  • De Kleer J (1984) How circuits work. Artif Intell 24(1–3):205–280

    Article  Google Scholar 

  • Diez J, Park Y, Zeller M, Brown D, Garza D et al (2001) Differential splicing of the IA-2 mRNA in pancreas and lymphoid organs as a permissive genetic mechanism for autoimmunity against the IA-2 type 1 diabetes autoantigen. Diabetes 50(4):895–900

    Article  Google Scholar 

  • Dvorak HF (1986) Tumors: wounds that do not heal. New Engl J Med 315(26):1650–1659

    Article  Google Scholar 

  • Dyson F (2004) A meeting with Enrico Fermi. Nature 427(6972):297–297

    Article  Google Scholar 

  • Eldershaw SA, Sansom DM, Narendran P (2011) Expression and function of the autoimmune regulator (Aire) gene in non-thymic tissue. Clin Exp Immunol 163(3):296–308

    Article  Google Scholar 

  • Embry AF (2004) The multiple factors of multiple sclerosis: a Darwinian perspective. J Nutr Environ Med 14(4):307–317

    Article  Google Scholar 

  • Fasano A, Shea-Donohue T (2005) Mechanisms of disease: the role of intestinal barrier function in the pathogenesis of gastrointestinal autoimmune diseases. Nat Clin Pract Gastroenterol Hepatol 2(9):416–422

    Article  Google Scholar 

  • Floreano D, Mattiussi C (2008) Bio-inspired artificial intelligence: theories, methods, and technologies. MIT Press, Cambridge, MA

    Google Scholar 

  • Folkman J, Kalluri R (2004) Cancer without disease. Nature 427(6977):787–787

    Article  Google Scholar 

  • Foote AK, Blakemore WF (2005) Inflammation stimulates remyelination in areas of chronic demyelination. Brain 128(3):528–539

    Article  Google Scholar 

  • French M (1994) Invention and evolution: design in nature and engineering, 2nd edn. Cambridge University Press, Cambridge

    Book  Google Scholar 

  • Fridman WH, Pagès F, Sautès-Fridman C, Galon J (2012) The immune contexture in human tumours: impact on clinical outcome. Nat Rev Cancer 12(4):298–306

    Article  Google Scholar 

  • Fuchs EJ, Matzinger P (1996) Is cancer dangerous to the immune system? Semin Immunol 8(5):271–280

    Article  Google Scholar 

  • Gall J (1986) Systemantics: the underground text of systems lore, 2nd edn. The General Systemantics Press, Ann Arbor, MI

    Google Scholar 

  • Gallucci S, Lolkema M, Matzinger P (1999) Natural adjuvants: endogenous activators of dendritic cells. Nat Med 5(11):1249–1255

    Article  Google Scholar 

  • Gallucci S, Matzinger P (2001) Danger signals: SOS to the immune system. Curr Opin Immunol 13(1):114–119

    Article  Google Scholar 

  • Gibbs WW (2001) Cybernetic cells. Sci Am 285(2):52–57

    Article  Google Scholar 

  • Gilbert B (1991) Where Do Little Circuits Come From? In: Williams J (ed) Analog circuit design: art, science, and personalities. Butterworth-Heinemann, Boston, chap 19, pp 177–186

    Google Scholar 

  • Gilboa E (2004) The promise of cancer vaccines. Nat Rev Cancer 4(5):401–411

    Article  Google Scholar 

  • Goverman JM (2009) Autoimmune T cell responses in the central nervous system. Nat Rev Immunol 9(6):393–407

    Article  Google Scholar 

  • Greaves M, Maley CC (2012) Clonal evolution in cancer. Nature 481(7381):306–313

    Article  Google Scholar 

  • Hamming RW (1962) Numerical methods for scientists and engineers. McGraw-Hill, New York

    Google Scholar 

  • Hoption Cann SA, van Netten JP, van Netten C, Glover DW (2002) Spontaneous regression: A hidden treasure buried in time. Med Hypotheses 58(2):115–119

    Article  Google Scholar 

  • Hrúz B, Zhou MC (2007) Modeling and control of discrete-event dynamic systems with Petri nets and other tools. Springer, London

    Google Scholar 

  • Juvet SC, Zhang L (2012) Double negative regulatory T cells in transplantation and autoimmunity: recent progress and future directions. J Mol Cell Biol 4(1):48–58

    Article  Google Scholar 

  • Klein CA (2009) Parallel progression of primary tumours and metastases. Nat Rev Cancer 9(4):302–312

    Article  Google Scholar 

  • Knight J (2002) Physics meets biology. Bridging the culture gap. Nature 419(6904):244–246

    Article  Google Scholar 

  • Knip M, Simell O (2012) Environmental triggers of type 1 diabetes. Cold Spring Harbor Perspect Med 2. doi:10.1101/cshperspect.a007,690

  • Krohs U, Callebaut W (2007) Data without models merging with models without data. In: Boogerd FC et al (eds) Systems biology: philosophical foundations. Elsevier, Amsterdam, pp 181–214

    Chapter  Google Scholar 

  • Kurts C, Robinson BWS, Knolle PA (2010) Cross-priming in health and disease. Nat Rev Immunol 10(6):403–414

    Article  Google Scholar 

  • Lathrop SK, Bloom SM, Rao SM, Nutsch K, Lio C-W et al. (2011) Peripheral education of the immune system by colonic commensal microbiota. Nature 478(7368):250–254

    Article  Google Scholar 

  • Lazebnik Y (2002) Can a biologist fix a radio?—Or, what I learned while studying apoptosis. Cancer Cell 2(3):179–182

    Article  Google Scholar 

  • Madar S, Goldstein I, Rotter V (2009) Did experimental biology die? Lessons from 30 years of p53 research. Cancer Res 69(16):6378–6380

    Article  Google Scholar 

  • Mailloux A, Young MRI (2010) Regulatory T-cell trafficking: from thymic development to tumor-induced immune suppression. Crit Rev Immunol 30(5):435–447

    Article  Google Scholar 

  • Mapara MY, Sykes M (2004) Tolerance and cancer: mechanisms of tumor evasion and strategies for breaking tolerance. J Clin Oncol 22(6):1136–1151

    Article  Google Scholar 

  • Mattiussi C, Marbach D, Dürr P, Floreano D (2008) The age of analog networks. AI Mag 29(3):63–76

    Google Scholar 

  • Matzinger P (2002) The danger model: a renewed sense of self. Science 296(5566):301–305

    Article  Google Scholar 

  • Matzinger P, Kamala T (2011) Tissue-based class control: the other side of tolerance. Nat Rev Immunol 11(3):221–230

    Article  Google Scholar 

  • McKhann CF, Yarlott MA (1975) Tumor immunology. CA A Cancer J Clin 25(4):187–197

    Article  Google Scholar 

  • Medzhitov R, Janeway CA Jr (2002) Decoding the patterns of self and nonself by the innate immune system. Science 296(5566):298–300

    Article  Google Scholar 

  • Merlo LMF, Pepper JW, Reid BJ, Maley CC (2006) Cancer as an evolutionary and ecological process. Nat Rev Cancer 6(12):924–935

    Article  Google Scholar 

  • Moore A (2012) Have we produced enough results yet, sir? BioEssays 34(3):163

    Article  Google Scholar 

  • Moss L, Nicholson DJ (2012) On nature and normativity: normativity, teleology, and mechanism in biological explanation. Stud Hist Philos Biol Biomed Sci 43(1):88–91

    Google Scholar 

  • Nathan C (2002) Points of control in inflammation. Nature 420(6917):846–852

    Article  Google Scholar 

  • Nersessian N (2008) Creating scientific concepts. MIT Press, Cambridge, MA

    Google Scholar 

  • Noble JA, Erlich HA (2012) Genetics of type 1 diabetes. Cold Spring Harbor Perspect Med 2(1). doi:10.1101/cshperspect.a007,732

  • Norman DA (1991) Cognitive artifacts. In: Carroll JM (ed) Designing interaction. Cambridge University Press, Cambridge, pp 17–38

    Google Scholar 

  • Oertle VL (1969) What you should know about trailer brakes. Pop Sci 195(1):111–113

    Google Scholar 

  • Pham SM, Rao AS, Zeevi A, McCurry KR, Keenan RJ et al. (2000) Effects of donor bone marrow infusion in clinical lung transplantation. Ann Thorac Surg 69(2):345–350

    Article  Google Scholar 

  • Platt JR (1964) Strong inference. Science 146(3642):347–353

    Article  Google Scholar 

  • Retsky MW, Demicheli R, Hrushesky WJM, Baum M, Gukas ID (2008) Dormancy and surgery-driven escape from dormancy help explain some clinical features of breast cancer. APMIS 116(7–8):730–741

    Article  Google Scholar 

  • Rouse BT, Suvas S (2004) Regulatory cells and infectious agents: détentes cordiale and contraire. J Immunol 173(4):2211–2215

    Google Scholar 

  • Russo L (2004) The forgotten revolution. Springer, Berlin

    Book  Google Scholar 

  • Sakaguchi S (2005) Naturally arising Foxp3-expressing CD25+CD4+ regulatory T cells in immunological tolerance to self and non-self. Nat Immunol 6(4):345–352

    Article  Google Scholar 

  • Sakaguchi S (2011) Regulatory T cells: history and perspective. In: Kassiotis G, Liston A (ed) Regulatory T cells: methods and protocols, vol 707, Humana Press, New York, chap 1, pp 3–17

    Chapter  Google Scholar 

  • Sakaguchi S, Yamaguchi T, Nomura T, Ono M (2008) Regulatory T cells and immune tolerance. Cell 133(5):775–787

    Article  Google Scholar 

  • Schafer M, Werner S (2008) Cancer as an overhealing wound: an old hypothesis revisited. Nat Rev Mol Cell Biol 9(8):628–638

    Article  Google Scholar 

  • Schreiber RD, Old LJ, Smyth MJ (2011) Cancer immunoediting: integrating immunity’s roles in cancer suppression and promotion. Science 331(6024):1565–1570

    Article  Google Scholar 

  • Simon HA (1996) The science of the artificial, 3rd edn. MIT Press, Cambridge, MA

    Google Scholar 

  • Simone R (1987) Languages as méthodes analytiques in Condillac. In: Buzzelli D, Ferriani M (ed) Speculative grammar, universal grammar, and philosophical analysis of language, vol 42, John Benjamins B.V., Amsterdam, pp 65–73

    Google Scholar 

  • Smithers DW (1962) Cancer: an attack on cytologism. Lancet 279(7228):493–499

    Article  Google Scholar 

  • Sorger PK (2005) A reductionist’s systems biology. Curr Opin Cell Biol 17(1):9–11

    Article  Google Scholar 

  • Soto AM, Sonnenschein C (2011) The tissue organization field theory of cancer: a testable replacement for the somatic mutation theory. BioEssays 33(5):332–340

    Article  Google Scholar 

  • Sozzani S, Rusnati M, Riboldi E, Mitola S, Presta M (2007) Dendritic cell-endothelial cell cross-talk in angiogenesis. Trends Immunol 28(9):385–392

    Article  Google Scholar 

  • Starnes CO (1992) Coley’s toxins in perspective. Nature 357(6373):11–12

    Article  Google Scholar 

  • Tacken PJ, de Vries IJM, Torensma R, Figdor CG (2007) Dendritic-cell immunotherapy: from ex vivo loading to in vivo targeting. Nat Rev Immunol 7(10):790–802

    Article  Google Scholar 

  • Tambuyzer BR, Ponsaerts P, Nouwen EJ (2009) Microglia: gatekeepers of central nervous system immunology. J Leukoc Biol 85(3):352–370

    Article  Google Scholar 

  • Terry WD (1975) BCG in the treatment of human cancer. CA A Cancer J Clin 25(4):198–203

    Article  Google Scholar 

  • Thagard P (2000) Explaining disease: correlations, causes, and mechanisms. In: Keil FC, Wilson RA (eds) Explanation and cognition. MIT Press, Cambridge, MA, chap 10, pp 255–276

    Google Scholar 

  • Uhr JW, Pantel K (2011) Controversies in clinical cancer dormancy. Proc Natl Acad Sci 108(30):12,396–12,400

    Article  Google Scholar 

  • Valastyan S, Weinberg RA (2011) Tumor metastasis: molecular insights and evolving paradigms. Cell 147(2):275–292

    Article  Google Scholar 

  • Wicki A, Christofori G (2008) The angiogenic switch in tumorigenesis. In: Marmé D, Fusenig N (eds) Tumor angiogenesis - basic mechanisms and cancer therapy. Springer, Berlin, chap 4, pp 68–88

  • Williams J (1995) The importance of fixing. In: Williams J (ed) The art and science of analog circuit design. Butterworth-Heinemann, Boston, chap 1, pp 3–7

  • Wimsatt, WC (2007) On building reliable pictures with unreliable data: an evolutionary and developmental coda for the new systems biology? In: Boogerd FC et al (eds) Systems biology: philosophical foundations. Elsevier, Amsterdam, pp 103–120

    Chapter  Google Scholar 

  • Wood KJ, Bushell A, Hester J (2012) Regulatory immune cells in transplantation. Nat Rev Immunol 12(6):417–430

    Article  Google Scholar 

  • Yu P, Lee Y, Liu W, Krausz T, Chong A et al. (2005) Intratumor depletion of CD4+ cells unmasks tumor immunogenicity leading to the rejection of late-stage tumors. J Exp Med 201(5):779–791

    Article  Google Scholar 

  • Zhang L, Gu FX, Chan JM, Wang AZ, Langer RS et al (2007) Nanoparticles in medicine: therapeutic applications and developments. Clin Pharmacol Ther 83(5):761–769

    Article  Google Scholar 

  • Zhao E, Xu H, Wang L, Kryczek I, Wu K et al. (2012) Bone marrow and the control of immunity. Cell Mol Immunol 9(1):11–19

    Article  Google Scholar 

  • Zhou G, Ding Z-C et al. (2011) Presentation of acquired peptide-MHC class II ligands by CD4+ regulatory T cells or helper cells differentially regulates antigen-specific CD4+ T cell response. J Immunol 186(4):2148–2155

    Article  Google Scholar 

Download references

Acknowledgments

Many thanks to Daniel Marbach for bringing to my attention Lazebnik’s paper, to Enrica Cantamessa and to Maurizio and Raffaele Persello for their help in reconstructing the history of the braking circuit, and to Delia Giallonardo, Roberta Maestri, Marco Palombi, Maurizio Persello, Markus Waibel, and to an anonymous reviewer for their precious feedback on the manuscript.

Author information

Authors and Affiliations

Authors

Corresponding author

Correspondence to Claudio Mattiussi.

Rights and permissions

Reprints and permissions

About this article

Cite this article

Mattiussi, C. Can an Engineer Fix an Immune System?–Rethinking theoretical biology. Acta Biotheor 61, 223–258 (2013). https://doi.org/10.1007/s10441-013-9180-x

Download citation

  • Received:

  • Accepted:

  • Published:

  • Issue Date:

  • DOI: https://doi.org/10.1007/s10441-013-9180-x

Keywords

Navigation