Evidence map›Paper›PMID 41795044›Full record

ArticleAnnals of biomedical engineering2026

A Modular Computational Approach for Assessing Active and Passive Force Contributions in Interstitial Lymphatic Fluid Uptake.

Tharanga D Jayathungage Don, Finbar Argus, Soroush Safaei, Peter S Russell, Anthony Rj Phillips, Hayley M Reynolds

Abstract read
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Article in Annals of biomedical engineering, 2026. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

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1 · What the graph read from it

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4 · The record

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5 · Who and what money

Authors and funding

6 authors.

Tharanga D Jayathungage DonAuckland Bioengineering Institute, The University of Auckland, Auckland, New Zealand. t.jayathungage-don@auckland.ac.nz.ORCID http://orcid.org/0000-0002-8003-5398
Finbar ArgusAuckland Bioengineering Institute, The University of Auckland, Auckland, New Zealand.
Soroush SafaeiAuckland Bioengineering Institute, The University of Auckland, Auckland, New Zealand.
Peter S RussellSchool of Biological Sciences, The University of Auckland, Auckland, New Zealand.
Anthony Rj PhillipsSchool of Biological Sciences, The University of Auckland, Auckland, New Zealand.
Hayley M ReynoldsAuckland Bioengineering Institute, The University of Auckland, Auckland, New Zealand.

Funding

Marsden Fund MFP-UOA2315Ministry of Business, Innovation and Employment 12 Labour Project
6 · The paper itself

Abstract

purposeThe lymphatic system regulates fluid homeostasis, yet the relative roles of active vessel pumping, external mechanical forces, and lymphatic vessel/interstitium material properties on lymphatic uptake remain unclear. We sought to quantify how each factor affects lymphatic drainage.

methodWe developed a bond-graph-based computational framework for modelling initial lymphatic uptake. Two networks, a simple 7-branch and a complex 19-branch architecture, were constructed to evaluate active pumping, passive external forces, and their combination. We varied vessel compliance, interstitial permeability, anchoring filament stiffness, interstitial compliance, and interstitial thickness, and performed global sensitivity analysis to identify dominant and interacting parameters. Model outputs were compared with published experimental data to assess physiological plausibility.

resultsSimulated uptake rates were consistent with published ranges, supporting the model's physiological validity. Network topology exerted strong control: the 19-branch network consistently produced lower flow than the 7-branch network. Vessel compliance increased cycle-mean flow in the 7-branch network (+11% active; + 17.8% concurrent) but reduced flow in the 19-branch network (-4.3% active; - 9.3% concurrent), indicating that structural losses in larger networks can outweigh distensibility benefits. Under passive forcing, interstitial permeability dominated drainage; very low permeability nearly eliminated flow. Anchoring filament stiffness, interstitial compliance, and thickness had negligible effects. Sensitivity analyses showed compliance governed active and concurrent force cases, whereas permeability dominated passive flow, with additional permeability/compliance interactions emerging in the 19-branch network.

conclusionBranching topology and material properties fundamentally influence lymphatic drainage. Active pumping is particularly important in highly branched architectures, while interstitial properties mainly modulate passive flow. The framework enables quantitative exploration of regional physiological and pathological differences.

Indexed as

Extracellular FluidLymphatic VesselsModels, BiologicalAnimalsComputer SimulationHumansActive and passive forcesBiomechanicsComputational modellingInitial lymphatic vesselsLymphatic systemValve mechanics

Identifiers

PMID41795044
PMCPMC13522030

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Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.