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RESEARCH PAPER / 2026-07-13

Biological limits of lifespan extension: evidence for a shift from pathway leverage to system-level buffering across species.

Denisa Fv Pirscoveanu, Mihai-Cristian Papa, Britta Kaltwasser, Dirk M Hermann, Ulf Brockmeier, Andrea Cercel, Anthony Oliver, Johannes Gruillari, Marius Viorel Ionica, Aurel Popa-Wagner

Chair of Vascular Neurology and Dementia, Department of Neurology, University Hospital Essen, Essen 45147, Germany; Department of Neurology, University of Medicine and Pharmacy Craiova, Romania.Chair of Vascular Neurology and Dementia, Department of Neurology, University Hospital Essen, Essen 45147, Germany; Department of Neurology, University of Medicine and Pharmacy Craiova, Romania. · pubmed

Abstract

Interventions targeting conserved aging pathways can markedly extend lifespan in model organisms, yet their efficacy declines with increasing organismal complexity. While this phenomenon is well documented, the underlying constraints remain poorly defined. Here, we integrate comparative experimental data with mechanistic insights to propose a unifying framework explaining the declining ceiling of lifespan extension. We show that in simple organisms, aging is governed by a limited number of high-leverage pathways, whereas in mammals it emerges from distributed, multi-tissue regulatory systems characterized by redundancy, feedback, and competing physiological constraints. By synthesizing findings from Caenorhabditis elegans, Drosophila melanogaster, and rodent models, we identify key determinants of this transition, including metabolic organization, genetic redundancy, endocrine regulation, microbiome interactions, and pharmacokinetic complexity.

The following analysis is generated by AI and may contain errors. It is separate from the authors’ abstract and is not peer review.

Research summary

The paper proposes a unifying framework suggesting that the efficacy of lifespan-extending interventions declines with organismal complexity due to a shift from high-leverage pathway control to distributed system-level buffering. This synthesis provides valuable context for interpreting translational gaps between model organisms and mammals, though it is a theoretical review rather than a novel experimental breakthrough.

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