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Water transport in leaf vasculature is a fundamental process affecting plant growth, ecological interactions and ecosystem productivity, yet the architecture of leaf vascular networks is poorly understood. Although Murray's law and the West-Brown-Enquist (WBE) theories predict convergent scaling of conduit width and number, it is not known how conduit scaling is affected by habitat aridity or temperature. We measured the scaling of leaf size, conduit width and conduit number within the leaves of 36 evergreen Angiosperms spanning a large range in aridity and temperature in eastern Australia. Scaling of conduit width and number in midribs and 2° veins did not differ across species and habitats (P > 0.786), and did not differ from that predicted by Murray's law (P = 0.151). Leaf size was strongly correlated with the hydraulic radius of petiole conduits (r = 0.83, P < 0.001) and did not differ among habitats (P > 0.064), nor did the scaling exponent differ significantly from that predicted by hydraulic theory (P = 0.086). The maximum radius of conduits in petioles was positively correlated with the temperature of the coldest quarter (r = 0.67; P < 0.001), suggesting that habitat temperature restricts the occurrence of wide-conduit species in cold habitats.
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http://dx.doi.org/10.1111/nph.15116 | DOI Listing |
Sci Rep
July 2025
Department of Mechanical Engineering, Korea Advanced Institute of Science and Technology, Daejeon, Republic of Korea.
Image-based modeling heavily relies on boundary conditions to obtain realistic blood flow and pressure. For the cerebrovascular system, boundary conditions are derived using in-vivo measurements or geometry-based models such as Murray's law, but these are constrained by the image resolution or high sensitivity to the segmented geometry. We propose a physiologic model of the cerebrovascular system based on a supply and demand relationship between arteries and tissues.
View Article and Find Full Text PDFEur Heart J Digit Health
July 2025
School of Mathematical and Statistical Sciences, University of Galway, University Road, Galway H91 TK33, Ireland.
Aims: The classification of physiological patterns of coronary artery disease (CAD) is crucial for clinical decision-making, significantly affecting the planning and success of percutaneous coronary interventions (PCIs). This study aimed to develop a novel index to reliably interpret and classify physiological CAD patterns based on virtual pullbacks from single-view Murray's law-based quantitative flow ratio (μFR) analysis.
Methods And Results: The pullback pressure gradient index (PPGi) was used to classify CAD patterns, with a cut-off value of PPGi = 0.
PLoS Comput Biol
July 2025
Niels Bohr Institute, University of Copenhagen, Copenhagen, Denmark.
The vascular network of leaves, comprising xylem and phloem, is a highly optimized system for the delivery of water, nutrients, and sugars. The design rules for these naturally occurring networks have been studied since the time of Leonardo da Vinci, who constructed a local rule for comparing the widths of in- and outgoing veins at branch points. Recently, physical models have been developed that seek to explain the full morphogenesis of leaf venial networks in which veins grow in response to local hydrodynamic feedback.
View Article and Find Full Text PDFPhlebology
June 2025
Department of Pharmacy, Pharmacology and Health Technologies, Faculdade de Farmácia, Universidade de Lisboa, Lisbon, Portugal.
The venous system plays a key role in clinical practice but remains underassessed due to the limited accessibility of conventional imaging tools. Near-infrared reflection illumination (NIRI) devices ("vein finders"), though recently introduced to assist venipuncture, have potential for broader vascular assessment. Our aim was to investigate the feasibility of a NIRI device to quantify the morphology of superficial hand veins and evaluate their response to a transient hemodynamic stress induced by suprasystolic limb occlusion.
View Article and Find Full Text PDFJ Biomech Eng
August 2025
Department of Biomedical Engineering, University of California, Irvine, Irvine, CA 92617; Edwards Lifesciences Foundation Cardiovascular Innovation and Research Center, University of California, Irvine, Irvine, CA 92617.
In 1926, Cecil D. Murray published a fundamental law of physiology relating the form and function of branched vessels. Murray's Law predicts that the diameter of a parent vessel branching into two child branches is mathematically related by a cube law based on parabolic flow and power minimization with vascular volume.
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