Personalized medicine and preventive health care: juxtaposing health policy and clinical practice

Infrastructuring precision medicine: Making gene therapies for rare diseases workable in practice

Long viewed by social scientists as a future imaginary, precision medicine is now materializing in many healthcare systems in the form of new diagnostic practices and novel treatment modalities, such as gene therapies. Based on an ethnographic study of the introduction of the first two clinically available in-vivo gene therapies in the Danish healthcare system, we investigate what it takes to make these therapies workable in practice. Drawing on social science literature on infrastructuring, we describe the many forms of mundane work required to fit these therapies into regulatory frameworks, political processes and daily work practices in the healthcare system. Further, we observe how the processes of infrastructuring required to introduce the gene therapies into clinical practice had transformative implications as they redistributed roles and responsibilities among clinicians, pharmacists, procurement agencies and pharmaceutical manufacturers.

Population curation: The construction of mutual obligation between individual and state in Danish precision medicine

How do precision medicine initiatives (re)organize relations between individuals and populations? In this article, we investigate how the curation of national genomic populations enacts communities and, in so doing, constructs mutual obligation between individuals and the state. Drawing on ethnographic fieldwork in the Danish National Genome Center (DNGC), we show how members of advisory bodies negotiated the inclusion criteria for two different genomic populations: a patient genome population and an envisioned 'Danish' reference genome population. The patient genome population was curated through a politics of inclusion, of as many genomes as possible, whereas the reference genome was to be curated through a politics of exclusion, to include only the genomes of 'ethnic' Danes. These two data populations configure differently the community of 'Danish patients' who might benefit from precision medicine, and thereby prescribe different moral continuities between person, state, and territory. We argue that the DNGC's patient genome population reinforces reciprocal relations of obligations and responsibility between the Danish welfare state and all individuals, while the proposed Danish reference genome population privileges the state's commitment to individuals with biographical-territorial belonging to the nation-state. Drawing on scholarship on social and health citizenship, as well as data solidarity in the Nordics, the discussion shows how population curation in national precision medicine initiatives might both construct and stratify political obligation. Whereas STS scholarship has previously deconstructed the concept of 'population', in the context of the troubling and violent effects of the management of human populations, we point to the importance of population curation as a vehicle for making the individual legible as part of a community to which the state is responsible and for which it is committed to care.

Decoding the mechanism of hypertension through multiomics profiling

Hypertension, characterised by a constant high blood pressure, is the primary risk factor for multiple cardiovascular events and a major cause of death in adults. Excitingly, innovations in high-throughput technologies have enabled the global exploration of the whole genome (genomics), revealing dysregulated genes that are linked to hypertension. Moreover, post-genomic biomarkers, from the emerging fields of transcriptomics, proteomics, glycomics and lipidomics, have provided new insights into the molecular underpinnings of hypertension. In this paper, we review the pathophysiology of hypertension, and highlight the multi-omics approaches for hypertension prediction and diagnosis.

Targeting automatic processes to reduce unhealthy behaviours: a process framework

While previous frameworks to address health behaviours through targeting underlying automatic processes have stimulated an improved understanding of related interventions, deciding between intervention strategies often remains essentially arbitrary and atheoretical. Making considered decisions has likely been hampered by the lack of a framework that guides the selection of different intervention strategies targeting automatic processes to reduce unhealthy behaviours. We propose a process framework to fulfil this need, building upon the process model of emotion regulation. This framework differentiates types of intervention strategies along the timeline of the unfolding automatic response, distinguishing between three broad classes of intervention strategies - direct antecedent, indirect antecedent, and response-focused. Antecedent-focused strategies aim to prevent the exposure to or activation of automatic responses directly through the avoidance of unwanted stimulus-response associations (i.e., situation modification or situation-specific response selection), or indirectly through automatising self-control (i.e., attentional deployment or cognitive change). Response-focused strategies aim to directly downregulate automatic unwanted responses (i.e., response modulation). Three main working hypotheses derived from this process framework provide practical guidance for selecting interventions, but await direct testing in future studies.