Hemorheology: the critical role of flow type in blood viscosity measurements

Javadi, Elahe; Jamali, Safa

doi:10.1039/d1sm00856k

Cited by 13 publications

(5 citation statements)

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“…4). The significant association with the concentration of erythrocyte aggregation index was for SFMBT2 rs11255044 (p = 4.83 × 5). Three genome-level significant SNPs (p value of 9.93 × 10 −09 for rs11661911 in GTSCR1-LINC01541, 1.81 × 10 −06 for rs1297329 in USP25-MIR99AHG and 1.29 × 10 −06 for rs28371438 in LOC102724502-OLIG2) associated with erythrocyte rigidity index level were identified (online suppl.…”

Section: Resultsmentioning

confidence: 97%

“…Most metabolic diseases are always accompanied by disorders of blood rheology, such as increased blood and plasma viscosity, decreased red blood cell deformability, and increased cell aggregation [ 1 , 2 ]. Hemorheology, the study of deformation and blood flow, has more focused on the deformation and aggregation of erythrocytes since erythrocytes are the main components in blood [ 3 , 4 , 5 ]. Blood viscosity and erythrocytes deformability are the main factors for maintaining and regulating microcirculation.…”

Section: Introductionmentioning

confidence: 99%

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Preliminary Study of Genome-Wide Association Identified Novel Susceptibility Genes for Hemorheological Indexes in a Chinese Population

Sun

Cheng

Guo

et al. 2022

Transfus Med Hemother

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Background: Genome-wide association studies for various hemorheological characteristics have not been reported. We aimed to identify genetic loci associated with hemorheological indexes in a cohort of healthy Chinese Han individuals. Methods: Genotyping was performed using Applied Biosystems Axiom™ Precision Medicine Diversity Array in 838 individuals, and 6,423,076 single nucleotide polymorphisms were available for genotyping. The relations were examined in an additive genetic model using mixed linear regression and combined with identical by descent matrix. Results: We identified 38 genetic loci (p < 5 × 10−6) related to hemorheological traits. In which, LOC102724502-OLIG2 rs28371438 was related to the levels of nd30 (p = 8.58 × 10−07), nd300 (p = 1.89 × 10−06), erythrocyte rigidity (p = 1.29 × 10−06), assigned viscosity (p = 6.20 × 10−08) and whole blood high cut relative (p = 7.30 × 10−08). The association of STK32B rs4689231 for nd30 (p = 3.85 × 10−06) and nd300 (p = 2.94 × 10−06) and GTSCR1-LINC01541 rs11661911 for erythrocyte rigidity (p = 9.93 × 10−09) and whole blood high cut relative (p = 2.09 × 10−07) was found. USP25-MIR99AHG rs1297329 was associated with erythrocyte rigidity (p = 1.81 × 10−06) and erythrocyte deformation (p = 1.14 × 10−06). Moreover, the association of TMEM232-SLC25A46 rs3985087 and LINC00470-METTL4 rs9966987 for fibrinogen (p = 1.31 × 10−06 and p = 4.29 × 10−07) and plasma viscosity (p = 1.01 × 10−06 and p = 4.59 × 10−07) was found. Conclusion: These findings may represent biological candidates for hemorheological indexes and contribute to hemorheological study.

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Section: Resultsmentioning

confidence: 97%

Section: Introductionmentioning

confidence: 99%

Preliminary Study of Genome-Wide Association Identified Novel Susceptibility Genes for Hemorheological Indexes in a Chinese Population

Sun

Cheng

Guo

et al. 2022

Transfus Med Hemother

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“…In addition to Particle Image Velocimetry (PIV) and Particle Tracking Velocimetry (PTV), Magnetic Resonance Microscopy (MRM) and Laser Doppler Velocimetry (LDV) measurements were employed as alternatives to track blood velocity [36]. Furthermore, significant advancements have been made in the field of microscopic simulations of blood, particularly in the study conducted by Jamali et al [37] in 2021. These simulations can greatly enhance the analysis and interpretation of microfluidic observations related to blood flow behavior [37].…”

Section: Experimental Methodsmentioning

confidence: 99%

“…Furthermore, significant advancements have been made in the field of microscopic simulations of blood, particularly in the study conducted by Jamali et al [37] in 2021. These simulations can greatly enhance the analysis and interpretation of microfluidic observations related to blood flow behavior [37].…”

Section: Experimental Methodsmentioning

confidence: 99%

Advancements in Blood Rheology and Hemodynamics Simulation with a Brief History

Molino

2023

Adv Res Sci

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Blood rheology is a complex field of study that investigates blood flow behavior, vital for understanding its role in physiological and pathological conditions. This article delves into various rheological models that describe blood behavior, ranging from Generalized Newtonian models to more sophisticated thixotropic and elastoviscoplastic models. One such model, the Horner-Armstrong-Wagner-Beris (HAWB) model, offers valuable insights into the dynamic interplay of reversible and irreversible phenomena in blood flow. Recent advancements, such as the mHAWB framework, provide enhanced accuracy and versatility in modeling blood rheology, holding great potential for diagnostic and therapeutic applications. Moreover, microscopic and mesoscopic simulations have paved the way for deeper insights into blood behavior, bridging the gap between theory and experiment. Multiscale models offer a promising approach to capturing the complexities of blood rheology at various length scales. Finally, we explore the clinical implications of blood rheology, including its significance in conditions like polycythemia, neonatal respiratory distress, and circulatory inadequacy. By understanding blood rheology comprehensively, we can advance our knowledge of complex blood flow dynamics and its potential applications in healthcare.

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“…Additionally, soft systems can show strong thermokinematic memory of the history of flow, a phenomenon commonly referred to as thixotropy ( 4 – 6 ). Whether the goal is to understand biological flows ( 7 – 10 ), to design advanced manufacturing processes for complex fluids with targeted properties ( 11 ), or to describe natural geophysical flows ( 12 , 13 ), the first essential step is to describe the complex stress responses to different flowing conditions through closed-form mathematical expressions. The quest to discover the constitutive relations made from kinematic variables for different classes of complex fluids is as old as the science of rheology itself.…”

mentioning

confidence: 99%

Unbiased construction of constitutive relations for soft materials from experiments via rheology-informed neural networks

Mahmoudabadbozchelou,

Kamani,

Rogers

et al. 2024

Proc. Natl. Acad. Sci. U.S.A.

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The ability to concisely describe the dynamical behavior of soft materials through closed-form constitutive relations holds the key to accelerated and informed design of materials and processes. The conventional approach is to construct constitutive relations through simplifying assumptions and approximating the time- and rate-dependent stress response of a complex fluid to an imposed deformation. While traditional frameworks have been foundational to our current understanding of soft materials, they often face a twofold existential limitation: i) Constructed on ideal and generalized assumptions, precise recovery of material-specific details is usually serendipitous, if possible, and ii) inherent biases that are involved by making those assumptions commonly come at the cost of new physical insight. This work introduces an approach by leveraging recent advances in scientific machine learning methodologies to discover the governing constitutive equation from experimental data for complex fluids. Our rheology-informed neural network framework is found capable of learning the hidden rheology of a complex fluid through a limited number of experiments. This is followed by construction of an unbiased material-specific constitutive relation that accurately describes a wide range of bulk dynamical behavior of the material. While extremely efficient in closed-form model discovery for a real-world complex system, the model also provides insight into the underpinning physics of the material.

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Hemorheology: the critical role of flow type in blood viscosity measurements

Abstract: The crucial role of hemorheological characteristics of blood in a range of diagnoses, treatments and drug delivery mechanisms is widely accepted. Nonetheless, the literature on blood rheology remains inconclusive and...

Cited by 13 publications

References 73 publications

Preliminary Study of Genome-Wide Association Identified Novel Susceptibility Genes for Hemorheological Indexes in a Chinese Population

Preliminary Study of Genome-Wide Association Identified Novel Susceptibility Genes for Hemorheological Indexes in a Chinese Population

Advancements in Blood Rheology and Hemodynamics Simulation with a Brief History

Unbiased construction of constitutive relations for soft materials from experiments via rheology-informed neural networks

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