Targeting spectrin redox switches to regulate the mechanoproperties of red blood cells

Structure of the spectrin fibrils

The spectrin fibril consists of αI (2419 amino acids, 280 kDa) and βI (2,137 amino acids, 246 kDa) spectrin (for the context of RBC hereafter referred to as α and β), encoded by the SPTA1 and SPTB gene, respectively. One α and β subunit each form a heterodimer (Shotton et al. 1979; Speicher et al. 1992), where the C-terminus of α-spectrin and the N-terminus of β-spectrin interact with each other. Two αβ-dimers associate in a head-to-head manner with their β-spectrin C-terminus and α-spectrin N-terminus, creating a tetramerization region on each αβ-dimer (DeSilva et al. 1992; Ipsaro et al. 2010). The mass of the physiological tetramer structure is ∼1000 kDa (Goodman et al. 2019). A main focus has been the investigation of the spectrin mesh in membrane patches of RBC or RBC ghosts, RBC depleted of hemoglobin and other cytoplasmic proteins, via different electron microscopic imaging methods, atomic force microscopy, or super-resolution microscopy, leading to coarse-grained structural representations of spectrin. From early electron micrographs of partially extended RBC ghosts, the helicality of the spectrin fibril was evident and subsequently modeled as a two-start helix (McGough and Josephs 1990). In these stretched conformations, spectrin fibrils are visible as straight lines connecting the actin nodes and having a maximum end-to-end distance of ∼200 nm (Liu et al. 1987; McGough and Josephs 1990). In the resting state, however, spectrin was found to be much shorter with estimations of approximately 45–65 nm length (Brown et al. 2015; Nans et al. 2011; Swihart et al. 2001). Nonetheless, the question of the accurate preservation of the physiological resting state in electron and atomic force microscopic (AFM) experiments remains a challenge. More recent experiments using super-resolution microscopy represent so far the most native-like state of the RBC membrane and suggest a physiological resting length of ∼80 nm (with minimal and maximal values of 50 and 150 nm) (Pan et al. 2018).

McGough and Josephs calculated the diameter of the spectrin fibril via Fourier-analyzed electron micrographs (McGough and Josephs 1990). In their model, they observed a negative correlation between the diameter and the pitch of the two-start helix, with a diameter of 3.6 nm and a pitch of 16.6 nm for the stretched state and a diameter of 5.2 nm and a pitch of 10.4 nm for the resting state. A similar diameter of 4.0–4.5 nm was reported from electron tomography studies (Nans et al. 2011).

Spectrin repeat domains and domain organization

The spectrin repeat (SR) domain is the main structural subunit of spectrin. The SR is an antiparallel, three-helix (a–c) coiled-coil domain of about 106 amino acids length. 20 and 16 SR make up α and β spectrin, respectively. Obtaining molecular structures of (multiple connected) SR together with detailed information about the coiled-coil helix arrangement and other atomistic properties is a current research area in the study of spectrin and its mechanical properties. Although sequences of the SR can vary substantially (from ∼9 to ∼36% sequence identity using the SR of α- and β spectrin), the overall SR structure is highly conserved (see for example Brown et al. 2015, for a structural alignment of SR crystals structures).

The linker region between two SR is α-helical as well and continues helix c to the helix a of the following SR (Grum et al. 1999). Nonetheless, the linker region is able to bend in different angles (Brown et al. 2015) and, thus, influences the pitch of the helical spectrin structure. For some of the SR, it was shown that co-translational folding occurs (Nilsson et al. 2017) and that neighboring repeat domains exert an effect on the co-translational folding that is specific for different SR (Kemp et al. 2020). Individual measurements of the melting temperature of each individual SR in erythroid spectrin support the idea that, despite their similarity in secondary and tertiary structure, SR actually differ significantly in some of their physico-chemical properties (An et al. 2006).

High-resolution structures of different SR are available (Grum et al. 1999; Yan et al. 1993), including structures of up to three consecutive SR (SRβ 13–15, 15% coverage of β-spectrin (Ipsaro and Mondragón 2010) and SRβ 14–16, 14% coverage of β-spectrin (Davis et al. 2009)) and of the tetramerization domain (covering SRα 0–1 and SRβ 16–17); the latter is the largest substructure of spectrin that has been crystalized (Ipsaro et al. 2010). Units of up to four consecutive SR have been resolved so far for α-actinin (Ylänne et al. 2001) and the Plakin domain of Desmoplakin, containing an additional SH3 domain (Choi and Weis 2011). Constructs larger than that become rapidly more flexible with each additional SR, making it more and more difficult to determine a crystal structure.

The dimerization of the α and β chain is initiated at SR β 1–2 and α 20–21 via long-range interactions (Li et al. 2008). After this specific step, the chains bind together via weaker interactions of the following SR (Li et al. 2007), coiling around each other.

Domain organization and interaction with other cytoskeletal proteins

Spectrin is indirectly connected to the RBC membrane via the erythrocyte-specific isoform of ankyrin (Bennett 1992), which binds with its ZU5 domain at SR 14–15 of β-spectrin (Ipsaro and Mondragón 2010), such that there are two potential binding sites for ankyrin roughly in the middle of the spectrin tetramer. In erythrocytes, ankyrin binds to the membrane protein band 3 (Pinder et al. 1995). Having an integral membrane domain as well as a cytoplasmic domain (Lux et al. 1989), band 3 thus connects the RBC plasma membrane to the spectrin mesh (Figure 1).

The N-terminal CH domains of β-spectrin and the C-terminal EF hand domain of α-spectrin together form both equivalent ends of tetrameric spectrin. The CH domains bind to the short actin filaments (An et al. 2005; Karinch et al. 1990), supported by the EF hand domain (Korsgren and Lux 2010). Additionally, protein 4.1 is binding at the calponin homology (CH) domain (An et al. 2005) and facilitates the binding of spectrin and actin (Ohanian et al. 1984). Six spectrin tetramers can bind one actin filament (Liu et al. 1987), which gives rise to the hexagonal pattern of the cytoskeletal mesh. Adducin caps the barbed ends of the actin filaments, preventing further growth of the actin polymer structure (Kuhlman et al. 1996) and, at the same time, can interact with band 3 as well to give another anchoring point to the plasma membrane (Anong et al. 2009). The adducin binding site on band 3 as identified in mutational studies suggests, however, that adducin and ankyrin likely are not able to bind to band 3 at the same time due to steric hindrance (Franco et al. 2016).

The SH3 domain of spectrin (also referred to as SR α10) is generally capable of forming various protein-protein interactions (Mayer 2001). Yet, its specific functions in erythroid spectrin is not yet fully understood. The spectrin-actin cytoskeleton furthermore interacts with a range of additional proteins, including tropomyosin, tropomodulin, and dematin, which are discussed elsewhere in more detail (Goodman et al. 2019; Lux 2016).

Structural models of spectrin

The exact mechanism of how spectrin is able to change between its resting and extended lengths, and how it thus provides flexibility to the RBC cytoskeleton, remains a topic of debate. Structural models of spectrin, ideally at the atomistic level, bridge the gap between coarse-grained representations of full-length spectrin and the atom-level information obtained from SR structures available for parts of the spectrin sequence only. That way, the structural models can contribute to scrutinizing the mechanisms how the spectrin fibril in its physiological state performs its function as the main component for RBC deformability.

The molecular origins of spectrin flexibility and its elastic properties were investigated by atomistic and coarse-grained molecular simulations (Mirijanian et al. 2007), based on crystal structures of up to four SRs (Autore et al. 2013) and the tetramerization domain complex (Ipsaro et al. 2010). Note that such simulations may miss the influence of further structural parts that had not been structurally resolved at that time as well as information about the physiological conformation of SR in the spectrin tetramer.

There are three main models of how spectrin stretches from a compressed to an extended state. The first one assumes the unfolding of SR domains to be responsible for the extension, based on unfolding experiments of multi-SR units with AFM (Law et al. 2003) and related steered MD simulations (Paramore and Voth 2006). While this unfolding might occur physiologically under extreme conditions, it is unlikely to play a role in the earlier stages of extension and short, compressed states, which can be better explained by one of the other two models.

The second model proposes a soft-polymer, worm-like behavior of the spectrin tetramer under compression; a regular, linear double helix is only obtained in stretched states (Shotton et al. 1979). This type of model is also supported by the most detailed simulations of the spectrin tetramer so far (Mirijanian and Voth 2008).

Mirijanian et al. conducted atomistic molecular dynamics simulations of double SR units (Mirijanian et al. 2007), which allow for the helical linker between two SR to bend and twist without unfolding. The observed SR dynamics was transferred to a coarse-grained (Mirijanian and Voth 2008) representation of the spectrin tetramer model for further simulations. However, the lengths of the molecular dynamics simulations of only 45 ns used to parameterize the SR dynamics appear too short by current standards to have reached convergence. Furthermore, the parametrization of the coarse-grained model did not take into account the interaction between the individual spectrin chains, which could be crucial for a stable linear double helix arrangement.

The third type of models assumes a spring-like extension mechanism in which the linear double helix conformation stays intact across a wide a range of lengths, as suggested from the early electron micrographs of stretched RBC ghosts (McGough and Josephs 1990). The Chinese finger trap model (Brown et al. 2015) belongs to this category and is likely the most advanced published quaternary structure model of the full-length spectrin heterotetramer so far. It uses atomistic homology models of all SR with the crystal structure of SR α16 as a template.

The SR were arranged to fulfill different length and helix pitch constraints. The linker region of SR was not explicitly modeled in the complete structure but would have to adopt a 90° angle in the most compressed state, with which it loses its α-helical structure. This model is consistent with the linear shape of the tetramer found at different lengths (Nans et al. 2011). Nonetheless, it was not yet subjected to a test in simulations, and the challenge remains to acquire high resolution structures of the whole spectrin tetramer in its near physiological state to verify details about the models.

In own, unpublished work, we constructed a structural model of the α/β-β/α-complex of human SpI at the atomistic level to determine the accurate interacting surfaces between each complimentary pair of SRs. We did so to investigate the localization of cysteine switches and their role on spectrin properties. We exploited information on the structural dynamics of SRs as done before, but based on ∼10-fold longer molecular dynamics simulations, together with distance information derived from cross-linking experiments between the α3 and α4 units of SpI, the length of the spectrin α/β-β/α-complex derived from the protein composition of the erythrocytes (Brown et al. 2015; Li et al. 2008), as well as cross-linking experiments on the full α/β-β/α-complex of SpI. The helical structure of one spectrin α/β chain was generated by repeatedly superimpositioning the copies of an SR according to this information and using the 3 SR unit crystal structure (Davis et al. 2009) as a structural alignment template, yielding a model of 36 full SR of SpI similar to previous approaches (Brown et al. 2015). The 36-SR model was used then as a template for comparative modeling with the in-house tool TopModel (Mulnaes and Gohlke 2018; Mulnaes et al. 2020). Finally, two α/β-chains were manually arranged such that they fulfill cross-links information (Li et al. 2008), resulting in the tetrameric α/β-β/α-complex built of ∼126,000 atoms (Figure 1E and F).The model obtained has an overall length, SR number per turn, handedness, hollowness, and intra-subunit and inter-subunit distances in agreement with experimental data (Brown et al. 2015).

Our model thus belongs to the third type of models mentioned above, which is expected to remain mainly linear and with a regular helicality of the antiparallel double helix. Still, as is the case for the coarse-grained model of the soft-polymer category (Mirijanian and Voth 2008), missing protein-protein interactions found under native conditions, such as with actin oligomers, may lead to non-linear conformations in simulations.

Another promising method to evaluate specific structural models of spectrin is (single-particle) cryo-EM, which was used on several cytoskeletal and filamentous proteins such as F-actin (Chou and Pollard 2019; Merino et al. 2018), tropomyosin (Ecken et al. 2016) or microtubules (Debs et al. 2020) in recent years. For proteins of the spectrin family, however, only the actin binding domain of a neuron specific isoform of spectrin was structurally resolved by cryo-EM so far (Avery et al. 2017). In this regard, further pursuing to resolve the structure and different elongation states of the spectrin tetrameric fibril with cryo-EM will be very valuable.

Mesoscopic and macroscopic models

The biconcave shape of the RBC is due to the constant tension of the spectrin fibrils (Park et al. 2010). In order to model red cell dynamics on a cellular level (i.e., deformability, shear properties, and membrane/cytoplasm viscosity), mechanical representations of the spectrin mesh as networks of springs are frequently employed (Fedosov et al. 2010a). The macroscopic models, however, generally do not use atomistic information but rather rely on experimental techniques such as optical tweezers to deform the RBC or dynamic scattering microscopy to track the microrheology of RBC to obtain parameters for subsequent simulations (Amin et al. 2007).

Mesoscopic RBC models (Fedosov et al. 2010b; Noguchi and Gompper 2005) together with particle dynamics techniques to simulate fluid flow (Español and Revenga 2003; Müller et al. 2015) are able to scrutinize a variety of RBC mechanical properties (Chien et al. 2019). These approaches present an opportunity to link ultimately the atomistic properties in the spectrin molecule to the behavior of RBC and blood flow.

Putative cysteine redox switches in spectrin

There is preliminary evidence that spectrin carries cysteine redox switches affecting the deformability and the membrane stability of RBCs, but their physiological significance is unknown. In the 1970/80, a number of studies demonstrated that treating isolated spectrin with monovalent or divalent thiol group-targeting molecules such as NEM or diamide leads to significant changes in electrophoretic behavior of spectrin, cell structure, and resistance to various stresses (like osmotic pressure, temperature and shear) (Becker et al. 1986; Fischer et al. 1978; Go et al. 2015).

Interestingly the nature of the chemical modifiers of the thiols of spectrin determines the outcome on the mechanical and physiological properties of the cells. In a pioneering paper, Fischer and colleagues showed that monofunctional reagents such as NEM are less potent as these compounds require that more than 20% of the membrane SH-groups are modified in order to diminish elongation of RBCs by 50% (Fischer et al. 1978). In contrast, divalent compounds such as diamide, which is able to also induce cross-links, induce the same effects on RBC elongation by blocking less than 5% of the membrane SH-groups.

The marked differences in effectivity between cross-linking and monofunctional agents could be interpreted by assuming that monofunctional reagents irreversibly block thiols and, thus, prevent formation of disulfide bonds; in turn diamide promotes formation of disulfide bonds, which appear to be essential for regulation of deformability and membrane stability.

The interaction of spectrin with membrane proteins such as band 3 and band 4.2 were proposed to be the node of regulation of shape, cytoskeletal flexibility, and deformation (Becker et al. 1986; Fischer et al. 1978; Go et al. 2015). Interestingly, labeling experiments by Fisher et al. (1978) identified band 3 and band 4.1 as targets of crosslinking induced by diamide. It is important to point out that, although these studies are compelling, the exact position of targeted thiols as well as the physiological relevance of the thiol modifications need further extensive investigation.

Regulatory cysteines in proteins are often highly conserved among vertebrates (Go et al. 2015). Goodman found conserved cysteines in the C-terminal region of α chains of all erythrocytic and non-erythrocytic isoforms of spectrin (SpI and SpII), including Cys 2072 and 2101, which are targeted by ubiqitination after cysteine oxidation (Kakhniashvili et al. 2001). Preliminary analysis carried out by us comparing α and β-SpI sequences of different vertebrates revealed a few highly conserved cysteines in both chains, including Cys 167, 965, 1394, 1404, 2072, 2299, 2388 in the α-chain and 603, 618, 860, 2012 in the β-chain (for an example see Figure 1G; full alignments of erythrocytic α- or β-spectrin sequences are available at https://doi.org/10.25838/d5p-13). Shear stress induces exposure of Cys 1877 and 595, respectively, of mouse α and β-SpI, which are conserved in the human sequences (Krieger et al. 2011).

Potential influences of redox modifications on the spectrin structure and mechanical properties were not extensively studied so far at the atomistic level, and many open questions remain. For another large, elastic structural protein, titin, AFM experiments showed a softening effect of cysteine S-glutathionylation upon extension (Herrero-Galán et al. 2019). The specific details of the effect, however, may be different in spectrin: Although cysteine modifications likely prevented the refolding of the reversibly unfolded domains of titin upon relaxation, unfolding of SR does not seem to be the main driver of spectrin’s flexibility.

Targeting spectrin cysteine redox switches with NO – S-nitrosation

There is also some evidence that hemoglobin, cytoskeletal, and membrane proteins of RBCs may be targeted by S-nitrosation reactions (Diederich et al. 2018; Grau et al. 2013). The presence and physiological significance of a cysteine redox switch in hemoglobin (Cys63 of the β-chain) was studied by Stemler and colleagues and is still very lively discussed in the literature (Hess et al. 2005; Premont et al. 2020; Sun et al. 2019).

To answer the question whether human spectrin thiols can be targeted by nitrosation reactions in RBCs, purified spectrin or RBC ghosts were treated with high, non-physiological concentrations of the nitrosothiol S-nitroso cysteine (CysNO). Nitrosation was analyzed by (I) reduction of S-nitrosospectrin by using acetic triiodide solution and detection of released NO by chemiluminescence, applying a method established for albumin (Marley et al. 2000), and (II) biotin switch assay, followed by Western blotting. As a positive control, human serum albumin was analyzed in parallel. Treatment with CysNO resulted in nitrosation of both purified spectrin and spectrin within the intact cytoskeleton of RBC ghosts (Diederich et al. 2018).

Clearly these experiments indicate that nitrosation may occur on spectrin. Note, however, that physiological formation of nitrosospecies in RBCs, such as nitrosothiols, and their physiological significance are still highly debated (Hess et al. 2005; Premont et al. 2020; Rassaf et al. 2003; Sun et al. 2019). Localization and effects of nitrosation of spectrin and other cytoskeletal proteins on RBC structural and functional properties under physiological conditions need to be further studied.

Targeting spectrin cysteine redox switches with glutathione – S-glutathionylation

A highly interesting thiol modification that was proposed to occur on spectrin and other cytoskeletal proteins is glutathionylation (Giustarini et al. 2019; Rossi et al. 2006). Glutathionylation is a reversible posttranslational redox modification occurring at a low-pK_a cysteine by spontaneous or enzymatically catalyzed addition of a glutathione (GSH) molecule from glutathione disulfide (GSSG) (Checconi et al. 2019; Ghezzi 2013; Zhang et al. 2018). Depending on the protein target, glutathionylation can evoke a variety of effects by controlling activity, function, and structure of proteins (Cooper et al. 2011; Groitl and Jakob 2014; Townsend 2007)

GSH is the most abundant intraerythrocytic thiol and is present at millimolar concentrations, and strongly contributes to maintain cellular redox homeostasis by participating in enzymatic reactions as a cofactor (Figure 2). Enzymes using GSH as reducing equivalent are glutaredoxin (GRx) and glutathione peroxidase (GPx). The enzyme responsible for GSH recycling is glutathione reductase, which reduces GSSG to GSH via consumption of NADPH (Figure 2). The enzyme catalyzing glutathionylation is glutathione S-transferase, which is highly abundant in RBCs (Krohne-Ehrich et al. 1977). GRx are small cytoplasmic enzymes also catalyzing deglutathionylation, reduction of protein disulfides, or Fe-S linkage formation (Hanschmann et al. 2013; Mieyal et al. 1991).

Figure 2:

Superoxide production and breakdown in erythrocytes.

Hemoglobin undergoes an auto-oxidation reaction leading to the formation of methemoglobin (Hb–Fe³⁺). If methemoglobin is not converted back into Hb–Fe²⁺, it is degraded leading to the formation of superoxide anion radical (O₂^•−). O₂^•− is dismutated into hydrogen peroxide by superoxide dismutase (SOD). Formation of O₂^•− and H₂O₂ and derived products may cause oxidative damage. Hydrogen peroxide can be reduced to water by catalase (Cat), peroxiredoxin 2 (Prx 2) thioredoxin (Trx(SH)₂) or glutathione peroxidase (GPx). To carry out the reaction, Trx(SH)₂ is oxidized into TrxS₂, while GPx will oxidize reduced glutathione (GSH) into glutathione disulfide (GSSG). To reduce GSSG and TrxS₂ the enzymes glutathionreductase (GSR) and thioredoxinreductase (TrxR) need NADPH as a hydrogen donor, which is delivered by the pentose phosphate pathway.

Glutathionylation of cytoskeletal proteins and, in particular, of spectrin in RBCs was shown to occur as a result of treatment with diamide (Rossi et al. 2006) or by treating RBCs with oxidants such as t-BuOOH (Giustarini et al. 2019). As discussed above, these treatments lead to an increase in GSSG and a decrease in GSH/GSSG ratio, which promote oxidative modification of protein thiols and also glutathionylation. Glutathionylation of cytoskeletal proteins were related to changes in osmotic fragility and in cell morphology (Giustarini et al. 2019; Rossi et al. 2006). However, the impact of glutathionylation on structure/function relationships is unknown.

Physiological sources of reactive species in RBCs

Mature RBCs lack mitochondria. The major source of reactive species in RBCs is degradation of Fe³⁺ hemoglobin (Alayash et al. 2001). During heme degradation reactive oxygen species (ROS), including superoxide anion radicals (O₂^•−), OH^•−, H₂O₂ and other reactive species derived by reaction of these species with other molecules, are rapidly formed in the RBCs. Other – less abundant – enzymatic sources of ROS in RBCs are also xanthine oxidoreductase and NADPH oxidase (George et al. 2013; Webb et al. 2008). Therefore, RBCs are very well equipped with a battery of antioxidant systems comprising SOD, catalase, GPx, and the GSH recycling system, as well as thioredoxin and glutaredoxin and ascorbic acid (Figure 2). The main source of redox equivalents for recycling of NADPH needed to feed the antioxidant system are provided by the pentose phosphate pathway from glucose. The latter is the only source of both redox equivalents and energy (in the form of ATP) in RBCs, which are also needed to maintain the transmembrane ion equilibria and membrane integrity.

Under normoxic conditions RBCs are known to be powerful scavengers of endothelial NO via reaction with oxyhemoglobin, but also to transport stable NO metabolites (including nitrite, nitrate, nitrosospecies, and nitrosyl-hemoglobin). Under hypoxic conditions RBCs were shown to produce NO and/or reactive nitrogen species (RNS), including N₂O₃ and other nitrosating species, from nitrite and to release NO bioactivity leading to hypoxic vasodilation (Cosby et al. 2003; Pawloski et al. 2001). In addition, we demonstrated that RBCs carry a catalytically active endothelial NO synthase (eNOS) and produce NO / nitrosating species under normoxic conditions (Cortese-Krott et al. 2012a,b). Chimeric mice lacking eNOS in the blood have decreased circulating nitrite and nitrate levels and increased blood pressure, indicating that blood cell eNOS activity may contribute to the regulation of circulating levels of NO metabolites in vivo (Wood et al. 2013).

Interestingly, RBC were shown to metabolize and produce sulfide and reactive sulfur species (Bianco et al. 2016; Vitvitsky et al. 2015). Recently, we also found that the chemical interaction between NO or nitrosothiols with sulfide leads to formation of S/N hybrid species, including nitrosopersulfide (SSNO⁻) and SULFI/NO ([ONN(OH)SO₃]⁻). These species were shown to carry bioactivity of both sulfide and NO by their ability to modulate blood pressure and heart contractility (Cortese-Krott et al. 2015). In a following study, SSNO⁻ was shown to participate in redox regulation by activation of Nuclear factor erythroid 2-related factor 2 (Nrf2)-mediated gene expression, likely via post-translational modifications of cysteine redox switches in Kelch-like ECH-associated protein 1 (Keap-1) (Cortese-Krott et al. 2016).

All these reactive species and their thiol targets, which were defined recently as reactive species interactome (Cortese-Krott et al. 2017), may modulate the cellular redox state and control cysteine redox switches in RBCs and, thereby, contribute to modulate structural and functional properties of proteins (Cortese-Krott et al. 2017). A schematic representation of the RSI and the possible cysteine redox switches modifications is depicted in Figure 3.

Figure 3:

Possible chemical modifications of cysteine redox switches and the reactive species interactome.

Reactive oxygen species (ROS), reactive sulfur species (RSS), and reactive nitrogen species (RNS) can react with free thiol groups leading to a number of post-translational modifications. The interaction of reactive species with their thiol target was defined as ‘reactive species interactome’ (RSI). Post translational modifications include nitration (–SNO₂), S-nitrosation (–SNO), formation of sulfinic (–SO₂H) and sulfonic acids (–SO₃H) or disulfide (–SS–), or formation of mixed disulfide (–SSR′) and persulfide (–SS^–).

Modulation of RBC deformability and blood viscosity by NO and oxidants

It is well established that oxidants (such as peroxides), cell permeable thiol reactive molecules (such as NEM or diamide) or reducing agents (such as phenylhydrazin) that induce degradation of hemoglobin strongly affect RBC deformability and integrity by affecting the RBC cytoskeletal proteins and inducing formation of hemoglobin aggregates, defined as Heinz bodies (Arduini et al. 1989; Becker et al. 1986; Fischer et al. 1978; Smith and Palek 1983). Several studies also indicate that intracellularly produced NO and derived reactive species in RBCs may affect RBC deformability (Belanger et al. 2015; Bor-Kucukatay et al. 2003; Grau et al. 2013) and RBC velocity (Horn et al. 2011). It was found that a specific range of concentrations of NO donors increase RBC deformability and that treatment with a nitric oxide synthase inhibitor decreases RBC deformability (Bor-Kucukatay et al. 2003). One work proposed that nitrosation of spectrin may play a role in the effects of NO on promoting RBC deformability (Grau et al. 2013). However, the effects of extracellular NO on RBC deformability are not without controversy, as they were not confirmed by other laboratories including ours (Barodka et al. 2014; Belanger et al. 2015; Cortese-Krott et al. 2018).

Recently, Diederich et al. studied the effects of oxidative modifications of the spectrin cytoskeleton on RBC rheology which were assessed by using ectacytometry in a laser rotational cell and a low-shear rotational viscometer (Diederich et al. 2018). Oxidation of spectrin with tert-buthylhydroperoxide (t-BuOOH) was shown to affect structure and electrophoretic properties of spectrin (Sullivan and Stern 1984). We found that t-BuOOH induces a concentration-dependent decreased RBC deformability and increased blood viscosity (Diederich et al. 2018). Although erythrocyte deformability and blood viscosity were not affected by treatment with increasing concentrations of CysNO, pretreatment with CysNO protected RBCs from t-BuOOH-induced decrease of deformability, indicating that CysNO may protect cytoskeletal proteins from oxidation. Since treatments were not added at the same time, this indicates that the antioxidant effects of CysNO were not due to direct reactions with t-BuOOH, but rather may be dependent on protection of defined cysteine redox switches (Diederich et al. 2018). The targeted proteins and cysteine redox switches, which may be responsible for these effects, were not identified yet.