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<p>Recently, the population-level public health principle of one vaccine fits all has been challenged by immunologists developing improved vaccines tailored to subgroups of the population based on certain shared characteristics. Rather than approaching populations in terms of a generic immune system, the researchers approach&#xa0;bodies as being shaped in relation with their environments and lived experiences. Based on interviews and fieldwork in a laboratory in Norway, the article explores how immunologists developing improved vaccines for obese humans work to bring human complexity into the laboratory and the mouse model. Developing a model for obesity in the context of precision vaccinology entailed aligning three models in one: the obesity model, the challenge model and the animal model. Following the processes and <i>network of alignments</i> as the immunologists work through the challenges of bringing the different models together, the article shows how established knowledge, practices and models in the laboratory are destabilized. The article argues that understanding how the immunologists manage these challenges is important since the model they construct will shape the science and technology they produce, but also potentially how we come to understand obesity.</p>

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Constructing precision through a network of alignments: exploring modelling work in mice for precision vaccinology

  • 期刊论文

  • 发表日期：

    2025年5月9日

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  • Hanne Castberg Thee Tresselt

摘要

Recently, the population-level public health principle of one vaccine fits all has been challenged by immunologists developing improved vaccines tailored to subgroups of the population based on certain shared characteristics. Rather than approaching populations in terms of a generic immune system, the researchers approach bodies as being shaped in relation with their environments and lived experiences. Based on interviews and fieldwork in a laboratory in Norway, the article explores how immunologists developing improved vaccines for obese humans work to bring human complexity into the laboratory and the mouse model. Developing a model for obesity in the context of precision vaccinology entailed aligning three models in one: the obesity model, the challenge model and the animal model. Following the processes and network of alignments as the immunologists work through the challenges of bringing the different models together, the article shows how established knowledge, practices and models in the laboratory are destabilized. The article argues that understanding how the immunologists manage these challenges is important since the model they construct will shape the science and technology they produce, but also potentially how we come to understand obesity.