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Why is obesity science so hard to control?

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Post-genomic optimism about fine-grained control meets obesity as a multi-level system: intervention, integration and translation cannot be pulled apart.

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Intervention, integration and translation in obesity research: Genetic, developmental and metaorganismal approaches

O'Malley MA, Stotz K · Philosophy, ethics, and humanities in medicine : PEHM · 2011

doi.org/10.1186/1747-5341-6-2Read the full paper ↗5 citationscc by

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Why is obesity science so hard to control?

These passages occur verbatim in the stored paper text. They support the points listed below; they do not verify every statement in the explanation.

Driving forces?

Prediction and control of biological systems are driving forces of the life sciences. While varying degrees of these capabilities have been generated in ev

Post-genomic mood?

post-genomic period has seen a remarkable surge of optimism about the possibility of achieving fine-grained control of complex interactions of biological s
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What they did

The authors treat prediction and control as driving aims of the life sciences, then follow genetic, developmental/epigenetic (pregnancy and early childhood) and metaorganismal/microbiome approaches to weight, arguing those features are inseparable in actual research.

What they found

To intervene successfully you need integrated, multi-level, translatable understanding. The microbiome is the collective genome of resident microbes. Developmental explanations did not come out of nowhere in the mid-1990s; they reconfigured the field.

The limits

What it doesn't show

This is philosophy of ongoing science, not a diet trial. It does not pick a winning obesity theory.

Key terms

Intervention
The control-oriented aim of acting on weight gain, loss and maintenance.
Integration
Multi-level understanding without which intervention in complex systems fails.
Translation
Moving results across experimental and human contexts; inseparable from intervening.
Metaorganism / microbiome
The host plus its microbial community and that community’s collective genome.

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Life sciences here aim at?

Common questions

What drives the life sciences here?

Prediction and control of biological systems, with post-genomic optimism about fine-grained control.

Can you intervene without integrating?

No. The features are inseparable in ongoing research.

Third avenue?

Metaorganismal/microbiome approaches, after genes and development.

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