System odpornościowy, ja immunologiczne. Wprowadzenie

[Przekład] Pogląd głoszący, że układ odpornościowy rozróżnia to, co swoje, od tego, co obce, był jednym z centralnych założeń immunologii w drugiej połowie XX wieku. Pogląd ten miał wpływ na projekty eksperymentalne i interpretowanie danych. Jednakże w obliczu nowych dowodów empirycznych konieczny jest w immunologii nowy aparat konceptualny

Different algorithms, different models

This study assesses the extent to which the two main Configurational Comparative Methods (CCMs), i.e. Qualitative Comparative Analysis (QCA) and Coincidence Analysis (CNA), produce different models. It further explains how this non-identity is due to the different algorithms upon which both methods are based, namely QCA’s Quine–McCluskey algorithm and the CNA algorithm. I offer an overview of the fundamental differences between QCA and CNA and demonstrate both underlying algorithms on three data sets of ascending proximity to real-world data. Subsequent simulation studies in scenarios of varying sample sizes and degrees of noise in the data show high overall ratios of non-identity between the QCA parsimonious solution and the CNA atomic solution for varying analytical choices, i.e. different consistency and coverage threshold values and ways to derive QCA’s parsimonious solution. Clarity on the contrasts between the two methods is supposed to enable scholars to make more informed decisions on their methodological approaches, enhance their understanding of what is happening behind the results generated by the software packages, and better navigate the interpretation of results. Clarity on the non-identity between the underlying algorithms and their consequences for the results is supposed to provide a basis for a methodological discussion about which method and which variants thereof are more successful in deriving which search target.publishedVersio

Towards a neo-configurational theory of intrinsic motivation

This research seeks to improve our understanding of how intrinsic motivation is instantiated. Three motivation theories, flow theory, self-determination theory, and empowerment theory, have informed our understanding of the foundations of intrinsic motivation at work. Taken jointly, they suggest six causal factors for intrinsic motivation: (1) perceived competence, (2) perceived challenge, (3) perceived autonomy, (4) perceived impact, (5) perceived social relatedness, and (6) perceived meaningfulness. Integrating different theoretical perspectives, I employ a case-based configurational approach and conduct coincidence analyses on survey data from a German public utility to analyse the nuanced interplay of these six causal factors for intrinsic motivation. My data show that high perceived meaningfulness or high perceived autonomy is sufficient for high perceived intrinsic motivation and at least one of the two conditions must be present. Further, my findings reveal a common cause structure in which perceived impact is not a causal factor for intrinsic motivation but an additional outcome factor. Subsequent analyses shed light on possible roles of the remaining proposed causal factors by drawing a tentative causal chain structure. The results of this study enhance our understanding of the causal complexity underlying the formation of intrinsic motivation.publishedVersio

SYSTEMIC FEATURES OF IMMUNE RECOGNITION

The gut is home to a great number of microbes. The immune system, to protect the body, must discriminate between the pathogenic and non-pathogenic microbes and respond to them in different ways. How the mucosal immune system manages to make this distinction is poorly understood. Here, we explore whether the decision to respond in a certain way to a microorganism is made by single types of cells and molecules or by the collective activity of various kinds of cells and molecules in a given anatomical compartment. We show here that the distinction between pathogenic and non-pathogenic microbes is made by an integrated system rather than by single types of cells or single types of receptors. Since immune recognition is constituted by a complex network of molecular and cellular level interactions, complete understanding of this process requires knowledge of these interactions. However, is it possible to explain immune recognition in molecular and cellular terms if this process is multiple realizable? Indeed, given the number and dynamics of elements involved in the recognition, it is hardly possible that their exact configuration could ever be reproduced even in the same individual. We argue that it is practically impossible to reduce immune recognition to its actual molecular and cellular realization. (This would require making reference to an infinitely long disjunction of lower level processes and each disjunct would be endlessly complex). Instead, the recognition is reducible to the approximation of molecular and cellular level processes. We suggest that the same strategy that was used by us to explain immune recognition in terms of lower level approximations is commonly applied by molecular biologists and systems biologists to explain complex biological processes

Understanding life through metaphors

There is a deep-seated neopositivist view which regards the language of science as a neutral medium of communication, radically different from indirect symbolic forms of discourse characteristic of arts and humanities. But naturalists, like poets and social scientists, also draw on the dominant images in their culture to organize their thoughts and simplify complex concepts. By conceptualizing one thing in terms of another, metaphors in science not only aid mutual communication between researchers but also structure their understanding of experience and reality. Too transparent to be noticed and critically analyzed within the framework of science itself, metaphors act as lenses, making selected aspects of complex phenomena visible to study and investigation (Reynolds 2018). By linking two seemingly unrelated ideas, for example, those of a machine and DNA replication, metaphors establish new interactions of meaning evoking shared associated connotations between these interacting concepts (Black 1962). This, in turn, may not only transform the perception of a target domain but also open up new prospects for experimental and interpretative avenues. Understanding Metaphors by Andrew Reynolds draws on this vision of metaphors as indispensable tools of scientific thinking to elucidate their role in the life sciences

Struggle within: evolution and ecology of somatic cell populations

The extent to which normal (nonmalignant) cells of the body can evolve through mutation and selection during the lifetime of the organism has been a major unresolved issue in evolutionary and developmental studies. On the one hand, stable mul- ticellular individuality seems to depend on genetic homogeneity and suppression of evolutionary conflicts at the cellular level. On the other hand, the example of clonal selection of lymphocytes indicates that certain forms of somatic mutation and selection are concordant with the organism-level fitness. Recent DNA sequencing and tissue physiology studies sug- gest that in addition to adaptive immune cells also neurons, epithelial cells, epidermal cells, hematopoietic stem cells and functional cells in solid bodily organs are subject to evolutionary forces during the lifetime of an organism. Here we refer to these recent studies and suggest that the expanding list of somatically evolving cells modifies idealized views of biological individuals as radically different from collectives

Philosophical Problems of Immunology

At the dawn of the computational era, immunology is at a crossroads: Its efforts to frame microbial-host interactions in combative, war-related terms no longer fit the larger picture of immune protection, and its focus on antimicrobial responses barely captures the diverse functions of the immune system, from tissue maintenance to cancer surveillance to development. As the classical view of immune processes becomes increasingly complex, the problem of self, individuality, mind-body interactions, and disease causation have stimulated extensive philosophical comment. Relating these disparate research topics to changing avenues of theoretical studies, philosophy of immunology helps to reframe basic conceptions of the organism from an atomistic, insular entity to one characterized by fluidity, hybridity, and porosity. In addition, highlighting the role of the observer in experimental research, this interdisciplinary field has redefined classical demarcations between science and culture while advancing our understanding of biology as a fundamentally human endeavor

Immunoglobulins and Antibodies: Conceptual Projections All the Way Down

Central to vaccination-induced responses, antibodies are suggested by Vaz to operate as observer-dependent entities that owe their status to categorization schemes of immunologists. Inspired by color research by Maturana, he argues that antibodies should be distinguished from immunoglobulins, which unlike the former can be considered as constituents of structural dynamics of an organism, products of millions of years of evolution. However, a deeper understanding of the historical roots of the concept of immunoglobulin and associated “languaging” and naming processes reveals that immunoglobulins, as much as antibodies, are contingent on conceptual schemes of immunology