Abstract
Erythrocytes are oxygen carriers and exposed to redox cycle in oxygenation and deoxygenation of hemoglobin. This indicates that circulating erythrocytes are vulnerable to the oxidative injury occurring under the imbalance of redox homeostasis. In this review article, two topics are presented concerning the human erythrocytes exposed to the oxidative inflammation including septic and sterile conditions. First, we demonstrate rheological derangement of erythrocytes subjected to acute oxidative injury caused by exogenous generators of reactive oxygen species (ROS). Erythrocyte filterability as whole-cell deformability has been estimated by the gravity-based nickel mesh filtration technique in our laboratory and was dramatically impaired in a time-dependent manner after starting exposure to the ROS generators, that is associated with concurrent progression of membrane protein degradation, phospholipid peroxidation, erythrocyte swelling, methemoglobin formation, and oxidative hemolysis. Second, we introduce an impairment of erythrocyte filterability confirmed quantitatively in diabetes mellitus and hypertension of animal models and patients under treatment. Among the cell geometry, internal viscosity, and membrane property as the three major determinants of erythrocyte deformability, erythrocyte membrane alteration is supposed to be the primary cause of this impairment in these lifestyle-related diseases associated with persistent oxidative inflammation. Excessive ROS trigger the inflammatory responses and reduce the erythrocyte membrane fluidity. Oxidative inflammation increasing erythrocyte membrane rigidity underlies the impaired systemic microcirculation, which is observed in diabetic and/or hypertensive patients. On the other hand, elevated internal viscosity caused by sickle hemoglobin polymerization is a primary cause of impaired erythrocyte filterability in sickle cell disease (SCD). However, oxidative inflammation is also involved in the pathophysiology of SCD. The physiologic level of ROS acts as signaling molecules for adaptation to oxidative environment, but the pathological level of ROS induces suicidal erythrocyte death (eryptosis). These findings provide further insight into the ROS-related pathophysiology of many clinical conditions.
Introduction
Reactive oxygen species (ROS) such as superoxide anion (O2•–) and hydroxyl radical (•OH) are inevitable byproducts of respiratory and metabolic pathways in living cells including circulating erythrocytes that bind, carry, and deliver molecular oxygen (O2). In contrast, intrinsic antioxidative enzymatic (superoxide dismutase, catalase, glutathione peroxidase, etc.) and non-enzymatic (α-tocopherol, etc.) defense mechanisms scavenge ROS generated in erythrocytes to survive oxidative stress. However, ROS accumulate under pathological conditions out of cellular redox control. Erythrocytes are a primary target of oxidative stress because hemoglobin is an iron-containing protein. Under the cyclic oxygenation and deoxygenation of hemoglobin, heme iron mediates hydroxyl radical generation via iron-catalyzed Fenton reaction as follows ():
Iron generates ROS by self-cycling between ferrous (Fe2+) and ferric (Fe3+) states. According to the ROS-induced denaturation of hemoglobin, heme further releases free iron that exerts catalytic actions on various cellular components, and ROS are also generated by degradation of heme (Tsamesidis et al., 2020). Once the release of reactive iron reaches the threshold level, self-regenerating auto-catalytic reaction proceeds and causes erythrocyte membrane perturbation including membrane protein degradation and phospholipid peroxidation.
Inflammation provides a defensive mechanism to foreign pathogens or intrinsic ROS-injured cellular components. Growing evidence suggests that ROS act as signaling molecules to restore the damaged cellular components and eliminate necrotic or apoptotic cells leading to an inflammatory response. As an example, systemic inflammation is found in sepsis as a clinical syndrome secondary to severe infection. Sepsis is sometimes associated with shock that is characterized by hemodynamic instability, impaired systemic microcirculation causing hypoxia and acidemia, multiple organ failure leading to high morbidity. These clinical findings are based on abnormal hemorheology including rigid erythrocytes, activated platelets, adhesive leukocytes, excessive inflammatory cytokines, and oxidative stress (). There are multiple sources of ROS generation including activated neutrophils, endothelial cells, erythrocytes per se, plasma xanthine oxidase, and oxygen therapy to improve hypoxia ().
Persistent oxidative stress promotes sterile inflammation to restore the cell and tissue damage, and chronic inflammation plays an important role in the pathophysiology of many clinical conditions such as type 2 diabetes mellitus, hypertension (), and sickle cell disease (SCD), a hereditary hemoglobin disorder (). Circulating erythrocytes are exposed to ROS and inflammatory cytokines under the chronic inflammation associated with unstable redox homeostasis. Inflammatory cytokines, such as transforming growth factor-β1 and endothelin-1, activate NADPH oxidase and increase superoxide (O2•–) generation as follows (; ):
Furthermore, upregulation of redox-sensitive transcriptional factors such as nuclear factor κ-B (NFκ-B) expresses some genes involved in inflammatory pathways and accelerates systemic inflammation (). These indicate that erythrocytes are vulnerable to persistent oxidative inflammation. This article reviews the rheological abnormalities in erythrocytes as a model of cellular response to acute oxidative inflammation and introduces the rheological behaviors of erythrocytes in ROS-associated clinical settings such as diabetes, hypertension, and SCD.
Estimation of Erythrocyte Deformability
Circulating erythrocytes deform to transit through the microcirculation, because the diameter of normal erythrocytes (6–8 μm) is greater than the minimum diameter of capillary network (3–4 μm). Apparent blood viscosity decreases with decreasing microvascular diameter, which is known as the Fahraeus–Lindqvist effect (). Because erythrocytes deform as bullet-like axisymmetric configurations, that is confirmed by a high-speed camera and image analysis (; Tomaiuolo et al., 2009). The erythrocyte deformation yields a cell-free layer at the microcapillary wall and a reduction in local hematocrit. The ability for erythrocytes to deform is termed deformability. Reduction of apparent blood viscosity is attributed to the concert of the cell-free layer width, local hematocrit reduction, and erythrocyte deformability. Ektacytometry, a standard technique to investigate this deformability, enforces the elongating deformation upon erythrocytes suspended in a high viscosity medium by applying the known shear stress. A group of passed and elongated erythrocytes creates a specific diffraction pattern captured by scattered light and a video camera. The elongation index is calculated by the short and long axes of the ellipsoidal laser beam diffraction pattern as an index of erythrocyte deformability (). Elongation of erythrocytes under the fixed shear condition is quantified, and a steady-state shear-deformation relationship is estimated, which is a great merit of ektacytometry. However, the recent finding of the erythrocyte deformation is shear-dependent shape transitions, i.e., erythrocytes demonstrate first tumbling, then rolling, and finally, polylobed shape with an increase in shear rate under the physiological medium conditions (; ) and such dynamic morphological transition governs the shear thinning in physiological microcirculation. These findings limit the physiological relevance of elongating erythrocyte deformation observed in the high viscosity medium of ektacytometry.
The deformability is a fundamental rheological function of the erythrocyte population. The lifespan of human healthy erythrocytes is about 120 days, and circulating erythrocytes show individual aging. Senescent erythrocytes are dense, shrunk, dehydrated, and less deformable, while the surface-area-to-volume ratio (sphericity) shows no significant changes during aging (Waugh et al., 1992). The least deformable erythrocytes are removed finally by the spleen-resident macrophages. Therefore, the deformability of the erythrocyte population is heterogeneous, and modern technologies and innovations have made it possible to investigate the distribution of age-dependent erythrocyte deformability (; ) and shear modulus (). On the other hand, practical measurement of mean erythrocyte deformability in many clinical samples is also important. One of the recent techniques drawing attention is the microfluidic assessment of erythrocyte-mediated microcapillary occlusion assessed by monitoring electrical impedance, which is linked to the pathophysiology and therapeutic responsiveness of SCD (,). Gravity-based filtration technique using a thin nickel mesh filter has been used in our laboratory for deformability measurement under physiological conditions (Figure 1). Nickel mesh filter produced by photofabrication technique is characterized by highly uniform pore size, shape, and distribution. This filtration apparatus demonstrates the relationship between pressure (P) and flow rate (Q) of erythrocytes suspended in physiological saline with hematocrit adjusted exactly to 3.0% (; ). Very low hematocrit allows independent behaviors of individual erythrocytes without aggregation. Deformability estimated by this filtration technique is the average of the entire erythrocytes in suspension. However, this method is practical, cost-effective, physiologically relevant, and based on the fundamental P-Q relationship fitted by the laminar fluid flow model (P-Q curve). The common features of the microfluidic erythrocyte occlusion and nickel mesh erythrocyte filtration are cost-effectiveness and functional assays of erythrocytes rheology without high-resolution imaging. Considering a small fraction (1–5%) of abnormal erythrocyte subpopulation affecting the whole blood fluid behavior (), the microfluidic or filtration process is influenced by the least deformable erythrocytes, whereas it is a small doubt whether such small subpopulation creates its specific diffraction pattern in ektacytometry ().
FIGURE 1
Effects of Oxidative Stress on Erythrocyte Deformability
Erythrocyte deformability plays a pivotal role in microcirculation, and the major determinants of the deformability are (1) cell geometry, (2) internal viscosity, and (3) membrane properties of circulating erythrocytes (). Biconcave disk configuration, low internal viscosity, and viscoelastic membrane property realize well deformable erythrocytes at a whole-cell level. Sepsis as a model of serious infection-induced inflammation impairs erythrocyte deformability. Rather, the impaired deformability is an early sign and prognostic marker of critically ill patients including those with sepsis (Totsimon et al., 2017). Impaired deformability is associated with multiple organ failure and life prognosis, and rigid erythrocytes are attributed to the marked oxidative stress generating ROS, reduced antioxidative capacity, and disrupted internal Ca2+ homeostasis (). Microvascular dysfunction in sepsis induces erythrocyte capillary flow stopping that reduces systemic functional capillary density, tissue hypoxia-reoxygenation insult, and subsequent inflammation. This phenomenon augments ROS generation leading to the further impairment of erythrocyte deformability ().
Sterile inflammation after oxidative damage is a ubiquitous biological reaction, and a ROS generator is often applied to erythrocyte suspension as an ex vivo oxidative injury model. Our laboratory confirmed that erythrocyte deformability is suppressed dramatically by acute oxidative stress generated by 2,2′-azobis(2-amidinopropane) dihydrochloride (AAPH), tertiary-butyl hydroperoxide (tBHP), and superoxide anion (O2•–) produced by hypoxanthine-xanthine oxidase reaction (Uyesaka et al., 1992; ; ). AAPH-induced time-dependent suppression of the deformability is demonstrated in Figure 2. P-Q curve shifting to the rightward indicates that erythrocyte filterability was impaired significantly according to the progression of incubation. No flow phenomenon was observed 180 min after starting incubation under the positive pressure of 70 mmH2O, indicating that rigid erythrocytes completely obstruct all the nickel mesh pores. AAPH impairs the filterability greatly in a time-dependent sigmoidal manner (Figure 3A). AAPH-induced impairment of deformability is suspected to be attributable to changes in any determinant (geometry, internal viscosity, and membrane property). For the cell geometry, the mean corpuscular volume of erythrocytes (MCV; fL) as a measure of cell size increases time-dependently after acute exposure to 50 mM AAPH. This swelling is accelerated 60 min after starting exposure (Figure 3B). ROS-induced erythrocyte swelling was confirmed also in the case of 0.4 mM tBHP application () and hypoxanthine-xanthine oxidase reaction liberating superoxide anion (Uyesaka et al., 1992) in the Ca2+-free condition.
FIGURE 2
FIGURE 3

Time-dependent derangement of erythrocytes exposed to 2,2′-azobis(2-amidinopropane) dihydrochloride (AAPH). Symbols and bars indicate mean ± SD (n = 6). (A) The filterability of erythrocytes exposed to 50 mM AAPH at 36°C showed time-dependent reduction (
), which was marked at incubation time segment of 40–60 min after starting incubation, whereas the filterability of erythrocyte suspension without exposure to AAPH remained at the preincubation levels around 80% (◯). (B) Time-dependent changes of the mean corpuscular volume (MCV; fl) of erythrocytes with and without exposure to 50 mM AAPH. MCV is calculated automatically by hemocytometer as a surrogate of cell size. Erythrocytes exposed to 50 mM AAPH showed a sigmoidal increase in MCV (
), which was evident 60 min after starting incubation at 36°C. Erythrocytes without exposure to AAPH (◯) showed no discernible changes in MCV. (C) Time-dependent increases in methemoglobin formation of erythrocytes (%) with and without exposure to 50 mM AAPH. Methemoglobin was assayed by standard spectrophotometric methods using absorbance differences of hemolysate in the presence and the absence of potassium cyanide and/or potassium ferricyanide at the wavelength of 630 nm. Erythrocytes exposed to AAPH showed a time-dependent sigmoidal increase in methemoglobin formation (
), which was evident 60 min after starting incubation at 36°C. Erythrocytes without exposure to AAPH (◯) showed slight methemoglobin formation due to natural oxidation. (D) Hemolytic time course of erythrocyte suspension (%) exposed to 50 mM AAPH. Hemolysis was quantified by the absorbance of hemoglobin at 540 nm in the supernatant, and percent hemolysis (%) was calculated with comparison to complete hemolysis using distilled water. Erythrocytes exposed to AAPH (
) showed time-dependent hemolysis, which was evident 60 min after starting incubation at 36°C, whereas erythrocyte suspension without exposure to AAPH (◯) showed no evident hemolysis [cited from
Biological response to oxidative stress has been studied extensively using oxidative agents. The application of these agents to intact erythrocytes provides a cellular model of acute oxidative inflammation and premature erythrocyte senescence (
Effects of Oxidative Stress on Erythrocyte Membrane
2,2′-azobis(2-amidinopropane) dihydrochloride-treated erythrocytes exhibit dark brown, which is compatible with the formation of methemoglobin due to oxidation of iron in heme from reduced ferrous (Fe2+) to oxidized ferric (Fe3+) state. Methemoglobin was assayed by standard spectrophotometric method (
FIGURE 4

Effects of acute exposure to 1.0 mM tBHP on membrane protein was investigated by SDS polyacrylamide gel electrophoresis. 1, control untreated erythrocytes; 2, erythrocytes treated with tBHP (1.0 mM); 3, erythrocytes pretreated with 0.1 μM verapamil before exposure to tBHP (1.0 mM); 4, erythrocytes pretreated with 1.0 μM verapamil before exposure to tBHP (1.0 mM). Treatment with 1.0 mM tBHP caused degradation of membrane protein corresponding to spectrin (band 1, 2), band 3, band 4.2 and band 4.5 associated with the new appearance of the low-molecular-weight broadband as indicated by N. Degradation of band 3 known as membrane protein exchanging anions (Cl– and HCO3–) and regulating cellular volume may contribute to tBHP-induced erythrocyte swelling. Although verapamil is a possible antioxidative agent, pretreatment with verapamil did not show any apparent protective effects [cited from
Hemolysis is a final event of erythrocytes exposed to profound oxidative inflammation. Hemoglobin oxidation, a consumptive decline in antioxidant capacity, membrane phospholipid peroxidation and protein degradation evoke oxidative hemolysis in concert (
Outcome of Erythrocytes Exposed to Oxidative Stress
Severe oxidative inflammation overwhelming antioxidative defense mechanisms induces irreversible erythrocyte damage leading to hemolysis as observed in the applications of AAPH and tBHP. However, persistent low-grade oxidative inflammation shortens the lifespan of circulating in vivo erythrocytes. Erythrocytes are sensitive to oxidative inflammation as a health indicator and inflamed erythrocytes undergo the programmed cell death known as eryptosis. Oxidative stress is one of the triggers of eryptosis, which is a suicidal erythrocyte death characterized by cell shrinkage, membrane blebbing, and phospholipid scrambling causing exposure of phosphatidylserine (PS) at the membrane surface. Oxidative stress activates non-selective cation channels, and massive Ca2+ entry causes the expression of Gardos channels and activates calpain and scramblase (
Clinical Implications
Reactive oxygen species are byproducts of biological oxygen consumption and play a key role in oxidative stress. Our experimental data are the hemorheological and biochemical results of erythrocytes exposed to acute oxidative stress by excessive ROS derived from an exogenous source. It is inconclusive that these data are extrapolated to the persistent effects on circulating erythrocytes of ROS corresponding to 0.1–0.2% of utilized oxygen (Tahara et al., 2009). However, chronic, low-grade inflammation and increased oxidative stress coexist with lifestyle-related common diseases such as type 2 diabetes mellitus and hypertension, i.e., these are significant worldwide health burdens leading to systemic atherosclerosis and microangiopathy (
Diabetes Mellitus
Reactive oxygen species overproduction and chronic inflammation interact in the development and the progression of type 2 diabetes mellitus. Persistent hyperglycemia activates inflammatory cytokines, accelerates autoxidation of glucose, and promotes ROS generation and decrease in the antioxidative enzyme activity. Advanced glycation end products (AGE) derived from the Maillard reaction contribute to the oxidative inflammation (
Hypertension
Hypertension is the main cause of cardiovascular diseases, and oxidative inflammation is deeply involved in the complex pathophysiology of hypertension along with sodium overloading, elevated sympathetic activity, an accelerated renin-angiotensin-aldosterone system that augments oxidative stress leading to endothelial dysfunction, vascular aging and remodeling in hypertensive patients (
Sickle Cell Disease
Sickle cell disease is an autosomal recessive disease affecting millions of people worldwide. This hereditary hemoglobinopathy is caused by a single mutation of the β-globin gene producing abnormal hemoglobin called sickle hemoglobin (HbS). Erythrocyte sickling occurs in the deoxygenated condition by polymerization of HbS (Supplementary Figure 3). This HbS polymerization and dehydration elevating internal viscosity are the primary pathophysiologies of SCD characterized by vaso-occlusive crisis, endothelial dysfunction, vascular injury, hemolytic anemia, and multiple organ damage. Sickle erythrocytes are heterogeneous in terms of cellular morphology, density, viscosity, fragility, and deformability. The mechanisms of such phenotype complexity remain unclear. The current paradigm is that SCD is not merely a rheological disease and that oxidative inflammation is deeply involved in its pathophysiology. Production of ROS is augmented and counteracting antioxidative capacity is consumed by repetitive microcirculatory occlusion-reperfusion insults. Such redox imbalance is reported in patients with SCD (
Conclusion
The physiological level of ROS is not only the inevitable byproducts of cellular metabolism but also the signaling molecules enhancing antioxidative defense mechanisms and initiating an inflammatory response to restore the ROS-injured cellular components. As a cellular model of acute oxidative inflammation, exposure of ex vivo human erythrocytes to ROS generators impairs the deformability seriously by chain-reacting auto-oxidation causing methemoglobin formation, membrane phospholipid peroxidation, protein degradation, and subsequent hemolysis. This impairment of circulating erythrocyte deformability in vivo disturbs systemic microcirculation and causes profound tissue hypoxia. Although there is still a gap between the chronic overproduction of ROS under the redox imbalance observed in patients with diabetes, hypertension, SCD, and acute oxidative stress caused by overwhelming ROS generation, the positive feedback amplifying oxidative inflammation is supposed to trigger the eryptosis to avoid intravascular hemolysis and sustain the pathophysiology of aforementioned diseases (Figure 5), i.e., rigid erythrocytes induce tissue hypoxia, and reoxygenation results in endogenous ROS overproduction and accelerates systemic inflammation via activation of the redox-sensitive nuclear transcriptional factor of NF-κB. Therefore, the concept of reversing the oxidative-inflammatory positive feedback may offer the new therapeutic targets to improve erythrocyte rheology in many clinical conditions.
FIGURE 5

Schematic illustration of the hypothetical positive feedback explaining the concept of oxidative inflammation. Reactive oxygen species (ROS) overproduced by oxidative stress play a central role in this vicious cycle. ROS-injured cellular components trigger systemic inflammation via activation of transcriptional factors such as nuclear factor κ-B (NFκ-B). Inflammatory endothelial dysfunction impairs erythrocyte deformability. Further, ROS-impaired erythrocyte deformability disturbs microcirculation and causes tissue hypoxia, and reoxygenation promotes overproduction of ROS and imbalance of redox homeostasis. Redox-sensitive NF-κB activation sustains systemic inflammation, and inflamed immune cells generate ROS maintaining the putative positive feedback.
Publisher’s Note
All claims expressed in this article are solely those of the authors and do not necessarily represent those of their affiliated organizations, or those of the publisher, the editors and the reviewers. Any product that may be evaluated in this article, or claim that may be made by its manufacturer, is not guaranteed or endorsed by the publisher.
Statements
Author contributions
TM had an initial concept of this review article and made manuscript writing. MH was chief of the rheological laboratory, engaged in data acquisition and maintenance of erythrocyte filtration apparatus, and made critique and advice on the manuscript revision. SM was chief of the biochemical laboratory and is involved in the maintenance of the high-performance liquid chromatography separating all the major phospholipids in the erythrocyte membrane. TF was the project leader, applied to the funding, and supervised the team collaboration. All authors approved the manuscript submission to this journal.
Funding
This work was funded by Grant-In-Aid provided to TM by the Japanese Ministry of Education, Culture, Sports, Science and Technology (18500328), Supporting Industry Program (so-called ‘Suppoin’) provided to TF by the Japanese Ministry of Economy, Trade and Industry (20180830-52), and managed by Kyushu Open Innovation Center (Fukuoka, Japan).
Acknowledgments
We would like to acknowledge Ayako Tajima (Kyushu University, Fukuoka, Japan) and Aya Sato (Institute of Rheological Function of Foods Co., Ltd., Hisayama, Japan) for technical assistance and to dedicate this review article to Dr. Nobuhiro Uyesaka (Department of Physiology, Nippon Medical School) to honor his memory and courtesy.
Conflict of interest
SM and TF was employed by Institute of Rheological Function of Foods Co., Ltd. The remaining authors declare that the research was conducted in the absence of any commercial or financial relationships that could be construed as a potential conflict of interest.
Supplementary material
The Supplementary Material for this article can be found online at: https://www.frontiersin.org/articles/10.3389/fphys.2022.837926/full#supplementary-material
Supplementary Figure 1Representative P(t)-Q(t) relationships during continuous filtration experiments using HEPES-buffered control saline and erythrocyte suspensions. (A)P(t)-Q(t) relationships of gravity filtration using saline (○, ◇) and suspension of erythrocytes obtained from control Wistar-Kyoto (WKY) rats (△, □) and those from streptozotocin-treated diabetic WKY rats (▲, ■). The hematocrit of erythrocyte suspension was 2.0%, and the pore size of the nickel mesh filter was uniformly 3.85 μm for rat erythrocytes. (B)P(t)-Q(t) relationships of control saline (lines without symbols) and erythrocyte suspensions of non-diabetic subjects (○, △, □). (C)P(t)-Q(t) relationships of control saline (lines without symbols) and suspensions of erythrocytes obtained from diabetic patients associated with obesity (
, ▲, ■, ◆) or not (○, △, □, ◇). The hematocrit of erythrocyte suspension was 3.0%, and the pore size of the nickel mesh filter was uniformly 4.94 μm for human erythrocytes. Erythrocyte filterability is impaired in diabetic rats and diabetic obese patients [cited from
Representative P(t)-Q(t) relationships of control saline (◯,
) and suspensions of erythrocytes obtained from spontaneously hypertensive rats (SHR) and age-matched control Wistar-Kyoto rats (WKY). Erythrocyte filterabilities of SHR aged 7 (
), 13 (
), and 18 (
) weeks are compared with those in WKY aged 7 (
), 13 (
), and 18 (
) weeks, respectively. The hematocrit of erythrocyte suspension was 2.0%, and the pore size of the nickel mesh filter was uniformly 3.88 μm. Erythrocyte filterability in SHR is lower than that in the age-matched WKY at any given age. Prehypertensive SHR aged 7 weeks (
) show greater impairment of erythrocyte filterability than mature hypertensive SHR aged 18 weeks (
). SHR were purchased from Charles River Japan [cited from
A scanning electron microscopic observation of erythrocytes obtained from a patient with sickle cell disease (SCD) that is a hemoglobinopathy producing sickle hemoglobin (homozygous HbS) based on a single mutation in the sixth codon of the β-globin gene (βGlu6Val). Sickle erythrocyte shows normal biconcave disk shape in the oxygenated state (A), but sickling occurs in the deoxygenated state (B). Scale bars indicate 3 μm [reproduced by courtesy of Dr. Nobuhiro Uyesaka and cited from
References
1
AritaT.MaruyamaT.YokoyamaT.HiedaM.FukataM.FujinoT.et al (2020). Impaired deformability and association with density distribution of erythrocytes in patients with type 2 diabetes mellitus under treatment.Clin. Hemorheol. Microcirc.7673–83. 10.3233/CH-200873
2
AriyoshiK.MaruyamaT.OdashiroK.AkashiK.FujinoT.UyesakaN. (2010). Impaired erythrocyte filterability of spontaneously hypertensive rats: investigation by nickel filtration technique.Circ. J.74129–136. 10.1253/circj.cj-09-0252
3
Bar-OrD.CarrickM. M.MainsC. W.RaelL. T.SloneD.BrodyE. N. (2015). Sepsis, oxidative stress, and hypoxia: are there clues to better treatment?Redox. Rep.20193–197. 10.1179/1351000215Y.0000000005
4
BaskurtO. K.MeiselmanH. J. (2013). Erythrocyte aggregation: basic aspects and clinical importance.Clin. Hemorheol. Microcirc.5323–37. 10.3233/CH-2012-1573
5
BatemanR. M.WalleyK. R. (2005). Microvascular resuscitation as a therapeutic goal in severe sepsis.Crit. Care9S27–S32. 10.1186/cc3756
6
BatemanR. M.SharpeM. D.SingerM.EllisC. G. (2017). The effect of sepsis on the erythrocyte.Int. J. Mol. Sci.18:1932. 10.3390/ijms18091932
7
BernhardtI.NguyenD. B.WesselingM. C.KaestnerL. (2020). Intracellular Ca2+ concentration and phosphatidylserine exposure in healthy human erythrocytes in dependence on in vivo cell age.Front. Physiol.10:1629. 10.3389/fphys.2019.01629
8
BissingerR.BhuyanA. A. M.QadriS. M.LangF. (2019). Oxidative stress, eryptosis and anemia: a pivotal mechanistic nexus in systemic diseases.FASEB. J.286826–854. 10.1111/febs.14606
9
BiswalS.RizwanH.PalS.SabnamS.ParidaP.PalA. (2019). Oxidative stress, antioxidant capacity, biomolecule damage, and inflammation symptoms of sickle cell disease in children.Hematology241–9. 10.1080/10245332.2018.1498441
10
Calderón-SalinasJ. V.Muñoz-ReyesE. G.Guerrero-RomeroJ. F.Rodríguez-MoránM.Bracho-RiquelmeR. L.Carrera-GraciaM. A.et al (2011). Eryptosis and oxidative damage in type 2 diabetic mellitus patients with chronic kidney disease.Mol. Cell Biochem.357171–179. 10.1007/s11010-011-0887-1
11
CaprariP.MassimiS.DianaL.SorrentinoF.MaffeiL.MaterazziS.et al (2019). Hemorheological alterations and oxidative damage in sickle cell anemia.Front. Mol. Biosci.6:142. 10.3389/fmolb.2019.00142
12
CardenM. A.LittleJ. (2019). Emerging disease-modifying therapies for sickle cell disease.Haematologica1041710–1719. 10.3324/haematol.2018.207357
13
DammanahalliK. J.SunZ. (2008). Endothelins and NADPH oxidases in the cardiovascular system.Clin. Exp. Pharmacol. Physiol.352–6. 10.1111/j.1440-1681.2007.04830.x
14
de ChamplainJ.WuR.GirouardH.KarasM.El MidaouiA.LaplanteM. A.et al (2004). Oxidative stress in hypertension.Clin. Exp. Hypertens.26593–601. 10.1081/ceh-200031904
15
DepondM.HenryB.BuffetP.NdourP. A. (2020). Methods to investigate the deformability of RBC during malaria.Front. Physiol.10:1613. 10.3389/fphys.2019.01613
16
DobbeJ. G.StreekstraG. J.HardemanM. R.InceC.GrimbergenC. A. (2002). Measurement of the distribution of red blood cell deformability using an automated rheoscope.Cytometry50313–325. 10.1002/cyto.10171
17
DwightJ. F.HendryB. M. (1996). The effects of tert-butyl hydroperoxide on human erythrocyte membrane ion transport and the protective actions of antioxidants.Chim. Acta.30167–181. 10.1016/0009-8981(96)06286-9
18
El AssarM.AnguloJ.Rodríguez-MañasL. (2013). Oxidative stress and inflammation in aging.Free Radic. Biol. Med.65380–401. 10.1016/j.freeradbiomed.2013.07.003
19
FahraeusR.LindqvistT. (1931). The viscosity of the blood in narrow capillary tubes.Am. J. Physiol.96562–568. 10.1152/advan.00009.2013
20
FöllerM.HuberS. M.LangF. (2008). Erythrocyte programmed cell death.IUBMB. Life.60661–668. 10.1002/iub.106
21
GardosG. (1958). The function of calcium in the potassium permeability of human erythrocytes.Biochim. Biophys. Acta30653–654. 10.1016/0006-3002(58)90124-0
22
GuzikT. J.TouyzR. M. (2017). Oxidative stress, inflammation, and vascular aging in hypertension.Hypertension70660–667. 10.1161/HYPERTENSIONAHA.117.07802
23
HuangR. B.Eniola-AdefesoO. (2012). Shear stress modulation of IL-1β-induced E-selectin expression in human endothelial cells.PLoS One7:e31874. 10.1371/journal.pone.0031874
24
IwataH.UkedaH.MaruyamaT.FujinoT.SawamuraM. (2004). Effect of carbonyl compounds on red blood cells deformability.Biochem. Biophys. Res. Commun.321700–706. 10.1016/j.bbrc.2004.07.026
25
JeongJ. H.SugiiY.MinamiyamaM.OkamotoK. (2006). Measurement of RBC deformation and velocity in capillaries in vivo.Microvasc. Res.71212–217. 10.1016/j.mvr.2006.02.006
26
KubánkováM.HohbergerB.HoffmannsJ.FürstJ.HerrmannM.GuckJ.et al (2021). Physical phenotype of blood cells is altered in COVID-19.Biophys. J.1202838–2847. 10.1016/j.bpj.2021.05.025
27
KuckL.McNameeA. P.SimmondsM. J. (2022). Impact of small fractions of abnormal erythrocytes on blood rheology.Microvasc. Res.139:104261. 10.1016/j.mvr.2021.104261
28
LangF.AbedM.LangE.FöllerM. (2014). Oxidative stress and suicidal erythrocyte death.Antioxid. Redox. Signal.21138–153. 10.1089/ars.2013.5747
29
LanotteL.MauerJ.MendezS.FedosovD. A.FromentalJ. M.ClaveriaV.et al (2016). Red cells’ dynamic morphologies govern blood shear thinning under microcirculatory flow conditions.Proc. Natl. Acad. Sci.11313289–13294. 10.1073/pnas.1608074113
30
LisovskayaI. L.ShcherbachenkoI. M.VolkovaR. I.TikhonovV. P. (2008). Modulation of RBC volume distributions by oxidants (phenazine methosulfate and turt-butyl hydroperoxide): role of Gardos channel activation.Bioelectrochemistry7349–54. 10.1016/j.bioelechem.2008.04.008
31
LominadzeD.JoshuaI. G.SchuschkeD. A. (2001). Blood flow shear rates in arterioles of spontaneously hypertensive rats at early and established stages of hypertension.Clin. Exp. Hypertens.23317–328. 10.1081/ceh-100102670
32
López-AlarcónaC.Fuentes-LemusaE.FigueroaaJ. D.DortabE.SchöneichcC.DaviesM. J. (2020). Azocompounds as generators of defined radical species: contributions and challenges for free radical research.Free. Radic. Biol. Med.16078–91. 10.1016/j.freeradbiomed.2020.06.021
33
LucK.Schramm-LucA.GuzikT. J.MikolajczykT. P. (2019). Oxidative stress and inflammatory markers in prediabetes and diabetes.J. Physiol. Pharmacol70:1. 10.26402/jpp.2019.6.01
34
ManY.KucukalE.AnR.BodeA.LittleJ. A.GurkanU. A. (2021a). Standardized microfluidic assessment of red blood cell-mediated microcapillary occlusion: association with clinical phenotype and hydroxyurea responsiveness in sickle cell disease.Microcirculation28:e12662. 10.1111/micc.12662
35
ManY.MajiD.AnR.AhujaS. P.LittleL. A.SusterM. A.et al (2021b). Microfluidic electrical impedance assessment of red blood cell-mediated microvascular occlusion.Lab. Chip.211036–1048. 10.1039/d0lc01133a
36
MaruyamaT.FukataM.FujinoT. (2020). Physiological and pathophysiological significance of erythrocyte senescence, density and deformability.J. Biorheol.3461–70. 10.17106/jbr.34.61
37
MauerJ.MendezS.LanotteL.NicoudF.AbkarianM.GompperG.et al (2018). Flow-induced transitions of red blood cell shapes under shear.Phys. Rev. Lett.121:118103. 10.1103/PhysRevLett.121.118103
38
MawatariS.MurakamiK. (2001). Effects of ascorbate on membrane phospholipids and tocopherols of intact erythrocytes during peroxidation by t-butylhydroperoxide: comparison with effects of dithiothreitol.Lipids3657–65. 10.1007/s11745-001-0668-x
39
MawatariS.SaitoK.MurakamiK.FujinoT. (2004). Absence of correlation between glycated hemoglobin and lipid composition of erythrocyte membrane in type 2 diabetic patients.Metabolism53123–127. 10.1016/j.metabol.2003.07.016
40
MittalM.SiddiquiM. R.TranK.ReddyS. P.MalikA. B. (2014). Reactive oxygen species in inflammation and tissue injury.Antioxid. Redox Signal.201126–1167. 10.1089/ars.2012.5149
41
MohandasN.ChasisJ. A. (1993). Red blood cell deformability, membrane material properties and shape: regulation by transmembrane, skeletal and cytosolic proteins and lipids.Semin. Hematol.30171–192.
42
MohantyJ. G.NagababuE.RifkindJ. M. (2014). Red blood cell oxidative stress impairs oxygen delivery and induced red blood cell aging.Front. Physiol.5:84. 10.3389/fphys.2014.00084
43
MurakamiK.MawatariS. (2003). Oxidation of hemoglobin to methemoglobin in intact erythrocyte by a hydroperoxide induces formation of glutathionyl hemoglobin and binding of alpha-hemoglobin to membrane.Arch. Biochem. Biophys.417244–250. 10.1016/s0003-9861(03)00389-8
44
NaderE.RomanaM.GuillotN.FortR.StaufferE.LemonneN.et al (2020). Association between nitric oxide, oxidative stress, eryptosis, red blood cell microparticles, and vascular function in sickle cell anemia.Front. Immunol.11:551441. 10.3389/fimmu.2020.551441
45
NewsholmeP.CruzatV. F.KeaneK. N.CarlessiR.de BittencourtP. I. (2016). Molecular mechanisms of ROS production and oxidative stress in diabetes.Biochem. J.4734527–4550. 10.1042/BCJ20160503C
46
NunesJ. M.PretoriusE. (2019). Red blood cell membrane cholesterol in type 2 diabetes mellitus.Thromb. Res.17891–98. 10.1016/j.thromres.2019.04.005
47
OdashiroK.MaruyamaT.AkashiK.SatoA.MawatariS.FujinoT. (2014). Marked impairment of human erythrocyte filterability caused by oxidant stress with AAPH precedes oxidative hemolysis.Membrane3948–55. 10.5360/membrane.39.48
48
OdashiroK.SaitoK.AritaT.MaruyamaT.FujinoT.AkashiK. (2015). Impaired deformability of circulating erythrocytes obtained from nondiabetic hypertensive patients: investigation by a nickel mesh filtration technique.Clin. Hypertens.21:17. 10.1186/s40885-015-0030-9
49
OkamotoK.MaruyamaT.KajiY.HaradaM.MawatariS.FujinoT.et al (2004). Verapamil prevents impairment in filterability of human erythrocytes exposed to oxidative stress.Jpn. J. Physiol.5439–46. 10.2170/jjphysiol.54.39
50
Pérez-HernándezI. H.Avendaño-FloresY. S.Mejía-ZepedaR. (2010). Analysis of the membrane fluidity of erythrocyte ghosts in diabetic, spontaneously hypertensive rats.Acta Diabetol.4747–55. 10.1007/s00592-009-0120-9
51
PeshavariyaH. M.ChanE. C.LiuG. S.JiangF.DustingG. J. (2014). Transforming growth factor-β1 requires NADPH oxidase 4 for angiogenesis in vitro and in vivo.J. Cell Mol. Med.181172–1183. 10.1111/jcmm.12263
52
PezeshkA.DalhouseA. D. (2000). Vitamin E, membrane fluidity, and blood pressure in hypertensive and normotensive rats.Life Sci.671881–1889. 10.1016/s0024-3205(00)00775-x
53
PietyN. Z.StutzJ.YilmazN.XiaH.YoshidaT.ShevkoplyasS. S. (2021). Microfluidic capillary networks are more sensitive than ektacytometry to the decline of red blood cell deformability induced by storage.Sci. Rep.11:604. 10.1038/s41598-020-79710-3
54
Pinzón-DíazC. E.Calderón-SalinasJ. V.Rosas-FloresM. M.HernándezG.López-BetancourtA.Quintanar-EscorzaM. A. (2018). Eryptosis and oxidative damage in hypertensive and dyslipidemic patients.Mol. Cell Biochem.440105–113. 10.1007/s11010-017-3159-x
55
PouvreauC.DayreA.ButkowskiE. G.de JongB.JelinekH. F. (2018). Inflammation and oxidative stress markers in diabetes and hypertension.J. Inflamm. Res.1161–68. 10.2147/JIR.S148911
56
PremaK.GopinathanK. P. (1974). Involvement of superoxide anion in sulphoxidation.Biochem. J.137119–121. 10.1042/bj1370119
57
ReckelhoffJ. F.RomeroJ. C. (2003). Role of oxidative stress in angiotensin-induced hypertension.Am. J. Physiol.284R893–R912. 10.1152/ajpregu.00491.2002
58
RenóC. O.BarbosaA. R.de CarvalhoS. S.PinheiroM. B.RiosD. R.CortesV. F.et al (2020). Oxidative stress assessment in sickle cell anemia patients treated with hydroxyurea.Ann. Hematol.99937–945. 10.1007/s00277-020-03987-7
59
RodgersG. P.DoverG. J.UyesakaN.NoguchiC. T.SchechterA. N.NienhuisA. W. (1993). Augmentation by erythropoietin of the fetal hemoglobin response to hydroxyurea in sickle cell disease.N. Engl. J. Med.32873–80. 10.1056/NEJM199301143280201
60
SaadatA.HuykeD. A.OyarzunD. I.EscobarP. V.ØvreeideI. H.ShaqfehE. S. G.et al (2020). A system for the high-throughput measurement of the shear modulus distribution of human red blood cells.Lab. Chip.202927–2936. 10.1039/d0lc00283f
61
SadrzadehS. M.GrafE.PanterS. S.HallawayP. E.EatonJ. W. (1984). Hemoglobin. A biologic fenton reagent.J. Biol. Chem25914354–14356.
62
SaitoK.KogawaY.FukataM.OdashiroK.MaruyamaT.AkashiK.et al (2011). Impaired deformability of erythrocytes in diabetic rat and human: investigation by the nickel-mesh-filtration technique.J. Biorheol.2518–26. 10.1007/s12573-011-0032-5
63
SinghM.ShinS. (2009). Changes in erythrocyte aggregation and deformability in diabetes mellitus: a brief review.Indian J. Exp. Biol.477–15.
64
TaharaE. B.NavareteF. D. T.KowaltowskiA. J. (2009). Tissue-, substrate-, and site-specific characteristics of mitochondrial reactive oxygen species generation.Free Radic. Biol. Med.461283–1297. 10.1016/j.freeradbiomed.2009.02.008
65
TomaiuoloG.SimeoneM.MartinelliV.RotoliB.GuidoS. (2009). Red blood cell deformation in micro-confined flow.Soft Matter53736–3740. 10.1039/b904584h
66
TotsimonK.BiroK.SzaboZ. E.TothK.KenyeresP.MartonZ. (2017). The relationship between hemorheological parameters and mortality in critically ill patients with and without sepsis.Clin. Hemorheol. Microcirc.65119–129. 10.3233/CH-16136
67
TsamesidisI.PérioP.PantaleoA.ReybierK. (2020). Oxidation of erythrocytes enhance the production of reactive species in the presence of artemisinins.Int. J. Mol. Sci.21:4799. 10.3390/ijms21134799
68
TsudaK. (2010). Oxidative stress and membrane fluidity of red blood cells in hypertensive and normotensive men: an electron spin resonance investigation.Int. Heart J.51121–124. 10.1536/ihj.51.121
69
UyesakaN.HasegawaS.IshiokaN.IshiokaR.ShioH.SchechterA. N. (1992). Effects of superoxide anions on red cell deformability and membrane proteins.Biorheol29217–229. 10.3233/bir-1992-292-303
70
WaczulíkovaI.SikurováL.CárskyJ.StrbováL.KrahulecB. (2000). Decreased fluidity of isolated erythrocyte membranes in type 1 and type 2 diabetes. The effect of resorcylidene aminoguanidine.Gen. Physiol. Biophys.19381–392.
71
WaughR. E.NarlaM.JacksonC. W.MuellerT. J.SuzukiT.DaleG. L. (1992). Rheologic properties of senescent erythrocytes: loss of surface area and volume with red blood cell age.Blood791351–1358.
72
YanesL.RomeroD.IliescuR.CucchiarelliV. E.FortepianiL. A.SantacruzF.et al (2005). Systemic arterial pressure response to two weeks of Tempol therapy in SHR: involvement of NO, the RAS, and oxidative stress.Am. J. Physiol.288R903–R908. 10.1152/ajpregu.00530.2004
73
ZeghariN.YounsiM.MeyerL.DonnerM.DrouinP.ZieglerO. (2000). Adipocyte and erythrocyte plasma membrane phospholipid composition and hyperinsulinemia: a study in nondiabetic and diabetic obese women.Int. J. Obes. Relat. Metab. Disord.241600–1607. 10.1038/sj.ijo.0801459
Summary
Keywords
erythrocytes, rheology, oxidative inflammation, membrane, eryptosis
Citation
Maruyama T, Hieda M, Mawatari S and Fujino T (2022) Rheological Abnormalities in Human Erythrocytes Subjected to Oxidative Inflammation. Front. Physiol. 13:837926. doi: 10.3389/fphys.2022.837926
Received
17 December 2021
Accepted
31 January 2022
Published
23 February 2022
Volume
13 - 2022
Edited by
Ursula Windberger, Medical University of Vienna, Austria
Reviewed by
Jean-Frédéric Brun, INSERM U1046 Physiologie et Médecine Expérimentale du Coeur et des Muscles, France; Michael J. Simmonds, Griffith University, Australia
Updates

Check for updates
Copyright
© 2022 Maruyama, Hieda, Mawatari and Fujino.
This is an open-access article distributed under the terms of the Creative Commons Attribution License (CC BY). The use, distribution or reproduction in other forums is permitted, provided the original author(s) and the copyright owner(s) are credited and that the original publication in this journal is cited, in accordance with accepted academic practice. No use, distribution or reproduction is permitted which does not comply with these terms.
*Correspondence: Toru Maruyama, maruyama@artsci.kyushu-u.ac.jp
This article was submitted to Red Blood Cell Physiology, a section of the journal Frontiers in Physiology
Disclaimer
All claims expressed in this article are solely those of the authors and do not necessarily represent those of their affiliated organizations, or those of the publisher, the editors and the reviewers. Any product that may be evaluated in this article or claim that may be made by its manufacturer is not guaranteed or endorsed by the publisher.