Ding · Carbohydrate polymers 2026 · computational modeling and comparative structural analysis · n=?

Structural evolution and functional adaptation of energy-storage polysaccharides in animals, plants and fungi.

Cited 1 times in the scientific literature.

Level 5 - mechanism / opinion, no new human data

Level 5 by design analogy (basic science / computational and theoretical macromolecular modeling with no clinical or human data)

PubMed 41320422 · doi:10.1016/j.carbpol.2025.124665 · record verified 2026-08-27

What was done

The authors compared the molecular structural parameters (specifically branch density and chain-length distributions) of plant amylopectin, fungal glycogen, and animal glycogen across biological kingdoms. Structural parameterization was performed using biosynthesis-based mathematical and computational models.

What was found

The abstract reports no numerical values. Qualitatively, plant amylopectin has sparse branching suited for slow energy storage; fungal glycogen has intermediate degrees of polymerization and a high proportion of short chains; and animal glycogen has high branch density and short chains supporting rapid, continuous energy supply.

Why it matters

This study provides an evolutionary and biomechanical rationale linking glucose polymer architecture directly to the metabolic mobilization needs and mobility of different biological kingdoms.

Limits

No numerical data, confidence intervals, or specific sample sizes are reported in the abstract. The study relies on theoretical parameterization and computational models rather than in vivo metabolic rate measurements.

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