Ivana Pajic-Lijakovic , Milan Milivojevic , Peter V.E. McClintock
{"title":"Shear-stress-induced swirling flow in biological systems","authors":"Ivana Pajic-Lijakovic , Milan Milivojevic , Peter V.E. McClintock","doi":"10.1016/j.biosystems.2025.105588","DOIUrl":null,"url":null,"abstract":"<div><div>Swirling motion is an essential phenomenon that significantly influences numerous biological processes, such as the mixing of molecular components within living cells, nutrient transport, the structural changes of the cytoskeletons of contractile cells and the rearrangement of multicellular systems caused by collective cell migration. The dynamical relationship between subcellular and supracellular rearrangements enhances cell migration and contributes to tissue homeostasis. However, the basic mechanisms that drive swirling motion in biological contexts remain a matter of ongoing inquiry. Several complex biological systems, including synovial fluid, blood, mucus, cytoskeleton, and epithelial and mesenchymal multicellular systems, are examined in the context of possible swirling motion. Despite their diverse structures and fluid properties, they all exhibited swirling behaviour. Shared characteristics among these systems include: (i) a heterogeneous distribution of density and mechanical stress, (ii) viscoelastic properties, (iii) anisotropic behaviour, and (iv) non-uniform flow patterns. This multifaceted phenomenon is analysed through the integration of experimental findings from the existing literature with modelling considerations, aiming to identify the primary physical factors that contribute to the occurrence of swirling motion such as: lift force and normal stress differences that appear as a consequence of generated shear stress.</div></div>","PeriodicalId":50730,"journal":{"name":"Biosystems","volume":"257 ","pages":"Article 105588"},"PeriodicalIF":1.9000,"publicationDate":"2025-09-06","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"Biosystems","FirstCategoryId":"99","ListUrlMain":"https://www.sciencedirect.com/science/article/pii/S0303264725001984","RegionNum":4,"RegionCategory":"生物学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"Q2","JCRName":"BIOLOGY","Score":null,"Total":0}
引用次数: 0
Abstract
Swirling motion is an essential phenomenon that significantly influences numerous biological processes, such as the mixing of molecular components within living cells, nutrient transport, the structural changes of the cytoskeletons of contractile cells and the rearrangement of multicellular systems caused by collective cell migration. The dynamical relationship between subcellular and supracellular rearrangements enhances cell migration and contributes to tissue homeostasis. However, the basic mechanisms that drive swirling motion in biological contexts remain a matter of ongoing inquiry. Several complex biological systems, including synovial fluid, blood, mucus, cytoskeleton, and epithelial and mesenchymal multicellular systems, are examined in the context of possible swirling motion. Despite their diverse structures and fluid properties, they all exhibited swirling behaviour. Shared characteristics among these systems include: (i) a heterogeneous distribution of density and mechanical stress, (ii) viscoelastic properties, (iii) anisotropic behaviour, and (iv) non-uniform flow patterns. This multifaceted phenomenon is analysed through the integration of experimental findings from the existing literature with modelling considerations, aiming to identify the primary physical factors that contribute to the occurrence of swirling motion such as: lift force and normal stress differences that appear as a consequence of generated shear stress.
期刊介绍:
BioSystems encourages experimental, computational, and theoretical articles that link biology, evolutionary thinking, and the information processing sciences. The link areas form a circle that encompasses the fundamental nature of biological information processing, computational modeling of complex biological systems, evolutionary models of computation, the application of biological principles to the design of novel computing systems, and the use of biomolecular materials to synthesize artificial systems that capture essential principles of natural biological information processing.