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Published in final edited form as: Mol Aspects Med. 2021 Jul 14;84:100971. doi: 10.1016/j.mam.2021.100971

Impact of hemoglobin biophysical studies on molecular pathogenesis and drug therapy for sickle cell disease

William A Eaton 1
PMCID: PMC8758802  NIHMSID: NIHMS1713719  PMID: 34274158

Abstract

Basic research on hemoglobin has been essential for understanding the origin and treatment of many hematological disorders due to abnormal hemoglobins. The most important of the hemoglobinopathies is sickle cell disease - Linus Pauling’s “molecular disease” that gave birth to molecular medicine. In this review, I will describe the contributions of basic biophysical research on normal and sickle cell hemoglobin (HbS) to understanding the molecular pathogenesis of the disease and providing the conceptual basis for the various approaches to drug therapy that target HbS polymerization. Most prominent among these are the allosteric model of Monod, Wyman, and Changeux and the Gill-Wyman thermodynamic linkage relation for describing how oxygen pressure determines HbS polymerization at equilibrium and the importance of the highly unusual kinetics of HbS polymerization to the pathophysiology, clinical course, and drug discovery for treating this common and severe disease. The article focuses primarily on experimental and theoretical results from my lab, so it is not a comprehensive review of the subject.

Keywords: hemoglobin, sickle, protein aggregation, kinetics, MWC, thermodynamic linkage

1. Introduction.

The era of molecular medicine began with Linus Pauling’s 1949 discovery that sickle cell disease is caused by an abnormal hemoglobin.(Eaton, 2003; Pauling et al., 1949) Research on sickle cell disease has again taken center stage in hematology because of new drug therapies, cure by stem cell transplantation, and the advent of gene therapy as a promising way of curing the disease. This inherited disorder is caused by a mutation of the codon for glutamate in the two β globin genes from to GAG to GTG. This single nucleotide causes a change to valine at the 6th position from the N-terminus (Fig. 1). The substitution of a negatively charged residue with a neutral hydrophobic one on the molecular surface creates a sticky patch that causes polymerization of sickle hemoglobin upon deoxygenation in the tissues to form multi-stranded fibers that distort (“sickle”) red cells. The less flexible red cells can cause obstruction in the microcirculation, the smallest vessels of the tissues. Obstruction in the microvasculature results in decreased oxygen delivery to the tissues, chronic damage to almost every organ of the body, a shortened life span for both the red cells and the patient, and episodes so painful that they are called sickle cell crises. Because of improvements in management and treatment most of the 100,000 patients in the United states have considerably increased life expectancy. However, many millions suffer from the disease in under-resourced countries where the disease is devastating (Piel et al, 2013). In sub-Saharan Africa, 50–90% of children with sickle cell disease die before age 5.(McGann, 2014)

Figure 1.

Figure 1.

Schematic structure of hemoglobin molecule. The molecule consists of 2 α and 2 β subunits. The yellow circle indicates the location of the β6 glu to val mutation on the molecular surface.

The physical chemistry of normal (HbA) and sickle cell (HbS) hemoglobin has turned out to be very important for understanding the molecular pathogenesis of the disease and providing the conceptual basis for current approaches to drug therapy. This review covers these topics, which have been the focus of much of my research for the past 50 years.(Eaton, 2018, 2020; Eaton, 2021) During this period, I and many other biophysical scientists have been highly influenced by the work and intellectual leadership in the hemoglobin field by the “Rome group”, especially by Maurizio Brunori, coauthor with Eraldo Antonini of : “Hemoglobin and Myoglobin in their Reaction with Ligands”, the famous research textbook that has motivated this special issue.(Antonini and Brunori, 1970) I will therefore begin with some history of my connection to Maurizio.

2. Some history

The work of Alessandro Rossi Fanelli, Eraldo Antonini and Maurizio Brunori established the standard of excellence in research on heme proteins for decades, from the 1950’s onward. In addition, the “Rome group” provided the intellectual leadership worldwide on studies of myoglobin, hemoglobin, and cytochrome oxidase. Their leadership and universal admiration was based on their published work, the textbook of Antonini and Brunori,(Antonini and Brunori, 1970) on numerous visits by researchers to La Sapienza to learn about their latest results, and on Brunori’s organization of numerous important international conferences that defined the outstanding problems in these fields. I had become a fan of the work from Rome while I was a medical student, when I was a close friend of Abel Schejter, a post-doctoral fellow in the laboratory of Philip George, one of the the leading scientists of the day on the thermodynamics of heme protein ligand binding reactions. Abel had a deep interest in hemoglobin and discussions with him on the latest papers from Rome were always highly stimulating and educational, a welcome reprieve from medical school. In retrospect, these discussions not only sparked my lasting interest in hemoglobin, but they were a major influence on my decision not to continue with medicine after graduating from medical school, but to work for a PhD and pursue a career of research on heme proteins

I first met Maurizio Brunori in 1970 when I had just started making making measurments of spectra on single crystals of normal hemoglobin in linearily-polarized light using a micropsectrophotometer that I had assembled, similar to the one I used in my PhD thesis work with the legendary spectroscopist, Robin Hochstrasser.(Eaton and Hochstrasser, 1967, 1968; Eaton and Trommsdorff, 2013; Eaton and Zewail, 1996) Maurizio was attending an international conference on hemoglobin organized by John Edsall and Jeffries Wyman at at the Stone House Mansion on the NIH campus, where they resided as Fogarty International Scholars-in-Residence. (Maurizio was later to also become a Fogarty International Scholar-in-Residence, spending 3 periods hosted by me at NIH between 1986 and 1990.) Wyman was a member of the Rome group from 1962 to 1985 and an important mentor to Maurizo. During the meeting, Maurizio and Antonini visited my lab and seemed impressed by my microspectrophtometric measurements. Hearing compliments from such famous scientists at the beginning my career as an independent scientist was a big morale booster for me. It was not until 1975 that Maurizio and I became friends, when, with Kurt Wüthrich, we were the foreign participants at the first Taniguchi Biophysics Symposium held at Lake Biwa near Kyoto. I have been deeply indebted to Maurizio ever since for his friendship, for the many enlightening discussions with him, and for his continuous wise advice and brilliant insights on all matters of science.

3. Physical Chemistry of HbS polymerization

3.1. Polymerization at equilibrium: MWC model and Gill-Wyman thermodynamic linkage

One of the major results from my first equilibrium studies, carried out in collaboration with James Hofrichter, an outstanding experimentalist, and Philip Ross, a skilled calorimetrist, showed that the mixture of free and polymerized hemoglobin molecules, referred to as a gel, behaved very much like a crystal-solution equilibrium.(Ross et al., 1977) As in crystallization, the solubility measures the thermodynmic stability of the fiber. It corresponds to the concentration of hemoglobin in the supernatant after sedimenting the fibers by ultracentirfuging the gel (Fig. 2). Both the fraction polymerized and the kinetics of fiber formation depend on the ratio of the initial concentration to the solubility, the so-called the supersaturation ratio.(Cellmer et al., 2016; Hofrichter et al., 1976)

Fig. 2.

Fig. 2.

Schematic showing that a gel consists of an equilibrium between Hb molecules free in solution and polymerized Hb. (Left image) The concentration of hemoglobin in the supernatant after sedimenting the polymers by ultracentrifugation is the solubility. It shows that only the T (deoxy) conformation of hemoglobin can polymerize, while the R (oxy) conformation is excluded at all oxygen pressures.

The most important factor that controls polymerization and sickling in vivo is of course the oxygen pressure. The two-state model of Jacque Monod, Jefferies Wyman, and Jean-Pierre Changeux (MWC) together with the thermodynamic linkage relation developed by Wyman and Stanley Gill, a Brunori collaborator, have provided the theoretical explanation.(Gill et al., 1979; Henry et al., 2020a; Monod et al., 1965; Sunshine et al., 1982) Wyman was an effectively permanent visitor of Antonini and Brunori while working on these two landmark projects. An interesting aspect of the MWC model is that it contains some very sophisticated and subtle features that were not fully understood by many scientists working full-time on hemoglobin. Misunderstanding of MWC contributed to a long period of controversy beginning in about 1970 concerning the relative merits of MWC and the KNF sequential model(Koshland et al., 1966) and the dismissal of MWC by Gary Ackers based on his tetramer-dimer dissociation measurements and a difficult to penetrate thermodynamic analysis.(Ackers, 1998; Ackers et al., 1992) The controversy persisted into the early 2000’s when the last remnants of doubt concerning the correctness of MWC for explaining cooperativity were finally eliminated.(Eaton et al., 1999; Levantino et al., 2012; Shibayama et al., 1998; Shulman, 2001; Yun et al., 2002)

The basic idea of MWC is that hemoglobin exists in a reversible equilbrium between a low and high affinity conformation, called “T” for tense and “R” for relaxed (Fig. 3). These two conformations correspond to the arrangement of the 4 subunits in the X-ray-determined structures of fully deoxygenated and fully oxgenated hemoglobin, respectfully – so-called quaternary structures.(Perutz, 1970) In the MWC model, oxygen binding to both quaternary structures is non-cooperative. Cooperativity, as reflected in the sigmoid shape of the binding curve, is the result of the shift from the T to R quaternary structure as succesive molecules of oxygen bind. The overall affinity is decreased by preferential binding of the allosteric effector, 2,3-diphosphoglycerate (2,3-DPG), in the cleft between the β subunits of the T quaternary structure that shifts the T-R equilibrium toward T.(Benesch and Benesch, 1969) (Bunn and Briehl, 1970; Perutz, 1970).

Fig. 3.

Fig. 3.

The MWC two-state allosteric model. (Upper panel, quaternary structures) The main difference between the 2 quaternary structures is rotation of the symmetrically related αβ dimers of about 15 degrees. (Middle panel, model) Empty symbols designate deoxygenated subunits and filled symbols oxygenated subunits. KT (~0.001 torr−1) and KR (~1 torr−1) are the association constants for binding to the T and R quaternary structures, respectively, L (~5×105) is the ratio of the T to R population at zero oxygen pressure, and c = KT/KR. The approximate magnitude of the equilibrium constants is indicated schematically by the relative length of the arrows for the forward and backward reaction rates. (Lower panel, binding curves) The oxygen binding curve for both the R and T conformations is non-cooperative. The shift from the T to R conformation as successive molecules of oxygen bind results in the observed (obs) sigmoid shape, signifying cooperativity.

The MWC model has been quite successfully used to explain a wide range of kinetic experiments, beginning with the work of John Hopfield, Seiji Ogawa, and Robert Shulman who assigned Quentin Gibson’s fast-reacting hemoglobin (Hb*) to the MWC R conformation.(Gibson, 1959; Hopfield et al., 1971) They have also led to new kinds of information about mechanism, such as the demonstration that the transition state along the free energy path between the quaternary conformations is much closer to the R than the T conformation. This was done by comparing equilibrium and activation enthalpy and entropy parameters on Brunori’s trout I hemoglobin in collaboration with Brunori and Massimo Coletta, a Brunori student, (Hofrichter et al., 1991) and by the application of a linear free energy relation to human hemoglobin data.(Eaton et al., 1991) Kinetic studies also have played the dominant role in extending the MWC model to include tertiary conformational changes.(Eaton et al., 2007; Henry et al., 2002; Henry et al., 2015; Viappiani et al., 2014; Viappiani et al., 2004). In our a two-state (TTS) allosteric model, there are 2 conformations of the individual subunits that are present in both the R and T conformations, called r and t. The key feature of the model, verified on rather demanding experiments by Cristiano Viappiani, Andrea Mozzarelli and coworkers,(Viappiani et al., 2014; Viappiani et al., 2004) is that the high oxygen affinity of r is the same in the R and T conformations and the low affinity of t is the same in R and T. The model is also supported by Resonance Raman experiments of Thomas Spiro and quantum mechanical/molecular mechanics computer simulations by Bringas et al.(Bringas et al., 2017; Jones et al., 2014)

The first lucid description of the MWC model and how it compares to other models for explaining cooperative oxygen binding by hemoglobin is to be found in the last chapter of the Antonini and Brunori book.(Antonini and Brunori, 1970) Careful study of that chapter, together with many enlightening discussions with Maurizio were responsible for keeping me from being one of the hemoglobin researchers who did not fully understand MWC. I and my colleagues were therefore able to improve on the MWC model by extending it with the TTS model.

The MWC model together with an extremely important thermodynamic relation derived by Gill and Wyman that allows the calculation of the solubility from the free and polymerized HbS oxygen binding curves provides a remarkably satisfying explanation of the experimentally measured solubilities as a function of oxygen saturation. As shown in Figure 4, assuming that only the T quaternary structure can polymerize and has the same oxygen affinity in the fiber as the T conformation of free hemoglobin, the predicted solubility from the Gill-Wyman thermodynamic relation (the “polyphasic linkage relation”) comes very close to the experimentally measured solubilities with no adjustable parameters. We have very recently shown that the solubility predicted by our TTS model gives almost perfect agreement with the experimental data (Fig. 4), but it does require an adjustable parameter.(Henry et al., 2020a)

Fig. 4.

Fig. 4.

Measured solubility of HbS as a function of the fractional saturation with oxygen of the free hemoglobin molecules. The blue circles are the measured solubilities.(Sunshine et al., 1982) The green (MWC) curve utilizes the Gill-Wyman polyphasic linkage relation to calculate the solubility from the free HbS cooperative binding curve and the polymer binding curve assumed to be the non-cooperative binding curve of the T quaternary structure of free hemoglobin.(Sunshine et al., 1982) The red (TTS) curve is the predicted solubility of the TTS model calculated in the same way, after adjusting one parameter of the TTS model that lowers the affinity of polymerized HbS compared to T, i.e. l, the ratio of t tertiary conformations to r tertiary conformations at zero oxygen pressure in the polymerized T conformation.

The description of a gel of HbS at equilibrium at all oxygen pressures is then quite simple; it is a mixture of T and R conformations in solution, with only T conformations contained in the fiber (Fig. 2). The exclusion of the R conformation from the fiber has motivated the development of drugs that preferentially bind to R to reduce sickling, a controversial approach to treating the disease discussed below.

In Figure 5, the MWC model is used to determine whether or not fibers form at equilibrium for a given intracellular Hb concentration and fractional saturation with oxygen of free hemoglobin molecules for 3 conditions - homozygous sickle cell disease (SS), sickle cell disease with pancellular hereditary peristence of fetal hemoglobin (S/HPFH), and sickle trait (AS).(Henry et al., 2020a)

Fig. 5.

Fig. 5.

Intracellular concentration distributions and fraction sickled at equilibrium in SS disease, S/HPFH, and sickle trait (AS). The ordinate is the probability of a red cell containing a total hemoglobin concentration (c) indicated on the abscissa. The dark red area shows cells where the solution in the cell is supersaturated at 75% saturation with oxygen of the free hemoglobin molecules (i.e., the initial Hb concentration is greater than the equilibrium solubility), while the light red area shows the cells that are superstaurated at 50% saturation (p50) with oxygen of the free hemoglobin. See (Henry et al., 2020a) for details of the concentration distributions and sickling calculations, which also include the large non-ideality from molecular crowding in these concentrated protein soluitons, as well as copolymerization of HbF in SS disease (~90% HbS, ~10% HbF) and in S/HPFH (~70% HbS, ~30% HbF), and HbA in sickle trait (~40% HbS, ~60% HbA).(Eaton and Hofrichter, 1990; Ross and Minton, 1977). The larger portion of cells at lower and higher hemoglobin concentrations in SS disease compared to S/HPFH and sickle trait correspond to an increase in reticulocyte production responding to the anemia and dehydration from mutiple sickling/unsickling cycles. respectively.

3.2. Discovery of HbS polymerization kinetics and mechanism

The kinetics of HbS polymerization are highly unusual with a delay period (lag phase) prior to the appearance of fibers that is enormously sensitive to HbS concentration, depending on the inverse 30th power, and to temperature (activation energy = 90 kcal/mol) (Fig. 6).(Hofrichter et al., 1974; Malfa and Steinhardt, 1974; Moffat and Gibson, 1974)

Fig. 6.

Fig. 6.

HbS polmerization kinetics. Schmatic of kinetic progress curves after transferring a completely deoxygenated HbS solution from 0°C, where it is a liquid solution, to room temperature where fibers form to produce a viscous gel. The delay times are identical when the kinetics are monitored by birefringence, calorimetry, turbidity/light scattering, or nuclear magnetic resonance.(Eaton et al., 1976b; Hofrichter et al., 1974) A reduction in HbS concentration by 10% or in temperature by 5°C increases the delay time by an order of magnitude.

Although we proposed a nucleation/growth mechanism in the oroiginal paper on the kinetics, a satisfactory mechanism was not developed until the arrival of Frank Ferrone in 1976 as a postdoctoral fellow. Frank brought considerable expertise to the lab on laser photolysis of the hemoglobin carbon monoxide complex from his PhD thesis research with Hopfield. Antonini and Brunori had previously shown that CO photodissociation is a powerful method to initiate polymerization by rapidly creating deoxyHbS in single red cells using a microspectrophotometer.(Antonini et al., 1983; Antonini et al., 1978) The temperature jump method we had been using to initiate polymerization of deoxyHbS had a time resolution of a little less than a minute. Ferrone used the photolysis method to vastly improve the time resolution by initiating polymerization in milliseconds. The increased time resolution allowed us to study polymerization and sickling on the in vivo time scale of subseconds and seconds.(Ferrone et al., 1985a; Ferrone et al., 1980) and in individual red cells in work by Brunori’s student, Massimo Coletta. Importantly, Coletta et al. showed that polymerization inside red cells is the same as in purifiied HbS solutions.(Coletta et al., 1982)

During Ferrone’s postdoctoral period, we developed the double nucleation mechanism (Fig. 7). According to this mechanism, there are 2 nucleation processes, a primary and a secondary one, which we called homogeneous and heterogeneous nucleation, respectively. The mechanism explained the delay period (lag phase), the high concentration and temperature dependence of the delay time, the stochastic variation in the delay time when measured on small volumes of HbS solutions or on red cells (~10−10 cc), and the observation that concentration dependence for the homogeneous nucleation rate is twice that of the delay time – 50th and 25th power, respectively, in the Ferrone experiments (Cao and Ferrone, 1996) and 80th and 40th power in the experiments of Christoph et al. (Christoph et al., 2005; Eaton and Hofrichter, 1990; Ferrone et al., 1985b; Ferrone et al., 1980; Ferrone et al., 2002; Hofrichter, 1986; Szabo, 1988; Weng et al., 2008) The mechanism also explained the wide variety of shapes of sickled cells as resulting from the number of homogeneously nucleated fibers, with the classic sickle shape containing a single homogeneously nucleated fiber.(Eaton and Hofrichter, 1987) In a totally different context, the double nucleation mechanism is being used to successfully explain the aggregation kinetics of the Alzheimer’s peptide to form amyloid fibrils.(Cohen et al., 2015; Cohen et al., 2013; Cohen et al., 2011a, b; Cohen et al., 2011c; Tornquist et al., 2018)

Fig. 7.

Fig. 7.

The double nucleation mechanism for HbS polymerization (Eaton and Hofrichter, 1990; Ferrone et al., 1985b; Ferrone et al., 1980; Ferrone et al., 2002; Weng et al., 2008). The first fiber in any given volume forms by the classical Osawa nucleation growth model,(Osawa and Sakura, 1975) called homogeneous because it occurs in the solution bulk without any contact to other fibers or surfaces. As indicated by the arrows, the initial aggregation steps are thermodynamically unfavorable because the overall reaction is uphill in free energy until a critical nucleus (*) is formed. The vast majority of fibers are formed by heterogeneous nucleation on the surface of preexisting fibers, which provides additional stability to the nucleus from contacts with the fiber surface. As more fibers form there is more surface for this secondary nucleation process, providing an autocatalytic mechanism that produces the delay period.

4. Clinical relevance of biophysical studies

4.1. HbS polymerization and clinical severity

We recognized in our very first study of the kinetics that the delay time should be a major factor in determining the clinical course of the disease. (Bunn, 1997; Eaton et al., 1976a; Ferrone, 2015; Hofrichter et al., 1974) The most important consequence of the delay time is that it allows patients to survive the disease because most cells can escape the microcirculation before HbS polymerization begins. This was first shown in CO photolysis experiments on single red cells by Mozzarelli when he was on sabbatical leave in my lab (Mozzarelli et al., 1987) and has been re-investigated in detail quite recently with considerably more experimental information and the ability to predict sickling on the seconds time scale as occurs in vivo.(Henry et al., 2020a). The diagram in Figure 5 shows that, were polymerization at equilibrium, every cell of patients with homozygous sickle cell (SS) disease would be sickled at tissue oxygen pressures. It is unlikely that individuals born with SS disease could survive the equilbrium condition for more than about one year when the replacement of fetal hemglobin (HbF) by HbS ceases to continue. Interestingly, in the double heterozygous condition of sickle cell disease with pancellular persistence of HbF (S/HPFH), most cells would also be sickled at equilibrium even at venous oxygen saturations of 75%, while in sickle trait most cells would be sickled at 50% saturation (Fig. 5). Yet, both S/HPFH and sickle trait are benign disorders.

Again, the reason that that both S/HPFH and sickle trait are benign is the kinetics of polymerization. Our recent calculations of sickling times at the rapid rate of oxygen decrease as cells pass from the arterial circulation through the tissues to the venous circulation, show that the delay time in SS individuals allows most cells to escape microcirculation without sickling even when the oxygen pressures drops below 10 torr. Moreover, sickling in vivo is enormously reduced in S/HPFH, and rare in sickle trait (Fig. 8), except in the hypertonic, acidotic renal medulla where osmotic shrinkage of the red cell volume to increase the hemoglobin concentration and reduce the delay time is responsible for impairment of kidney function.(Bunn and Forget, 1986; Xu and Thein, 2019)

Figure 8.

Figure 8.

Comparision of equilibrium and in vivo sickling. The kinetics curves for whole blood are calculated at a rate of oxygen pressure decrease of 40 torr/sec from 100 torr to the indicated final oxygen pressure. The fraction sickled depends on the rate of the oxygen pressure decrease and is slightly less 80 torr/sec and slightly more at 20 torr/sec. (Henry et al., 2020a). Details of calculations are given in (Henry et al., 2020a).

The concept that the delay time relative to the transit time through the microcirculation is a major determinant of clinical severity creates a coherent explanation of clinical observations.(Eaton and Hofrichter, 1987) Factors that decrease the delay time or increase the transit time increase clinical severity and vice versa. Consequently, increased adherence of cells to the vascular endothelium, which slows transit, contributes to the probability of vaso-occluion, as originally pointed out by Robert Hebbel.(Hebbel et al., 1980; Hebbel et al., 2004). Adherence as an additional determinant of clinical severity is perfectly consistent with this dynamical picture. Thus, the enormous sensitivity of the delay time to intracellular Hb concentration, temperature, and pH readily explains why fever, red cell dehydration, or acidosis can trigger a sickle cell crisis. In the case of infection, slowing transit times from increased adherence due to elevated white cells should also contribute. The stochastic nature of HbS polymerization in the small volume of a red cell may also play a role in the episodic and often unpredictable onset of sickle cell crises. Moreover, as already implied in discussing S/HPFH and sickle trait, there is a close correlation of predicted supersaturation and therefore delay times with disease severity among the various sickle syndromes.(Brittenham et al., 1985; Bunn et al., 1982; Sunshine et al., 1978).

Multiple scenarios have been proposed for the predomaint sites of in vivo sickling and obstruction of the microvasculature (Fig. 9). So while the scenarios A and B depicted in Figure 9 are the most frequent in S/HPFH and sickle trait, the distribution of these scenarios in SS is yet to be determined. Differences in the distribition of the scenarios is most probably responsible for the wide range of clinical severity in SS disease.

Figure 9.

Figure 9.

In vivo sickling scenarios.(Henry et al., 2020a) Schematic of microcirculation shows an arteriole, a capillary and venule. (A) The delay time is so long that cells do not sickle in the microcirculation and may even return to the lungs without sickling. (B) Sickling only occurs after the cell escapes the microcirculation and is unsickled upon oxygenation in the lungs. (C) The delay time is so short that polymerization occurs in the capillary to block further passage of cells, called a “log jam.” The surrounding tissues are adversely affected by decreased oxygen delivery. (D) Cells escape both the capillary and blockage by adherent sickled cells in the post-capillary venule. (E) Cells sickle and adhere to the endothelium of the post-capillary venule to cause a log jam. (F) Cell sickles in capillary but nevertheless escapes the microcirculation to the larger vessels. (G) Because the concentration of intracellular hemoglobin is so high that fibers are not completely melted in the lungs, the delay time is eliminated.(Mozzarelli et al., 1987) In this case, cells sickle before entering the microcirculation and may initiate a log jam in the arteriole.

5.1. Treating sickle cell disease

Sickle cell disease has been cured by hematopoietic stem cell transplantation in over 95% of both children and adults that have undergone this procedure.(Cisneros and Thein, 2020; Tisdale et al., 2020) In this treatment, stem cells in the bone marrow of the patient are largely eliminated by myelosuppressive therapy and replaced with bone marrow stem cells from an unaffected, tissue matched sibling donor (Fig. 10, center-left).(Eapen et al., 2019) About 15% of sickle cell patients in this country have a sibling-matched donor and can therefore be cured. Promising new curative therapies are also currently being developed using genetic approaches (Fig. 10, center-right).(Drysdale et al., 2021) A Modified HIV is being used to transfer globin genes that code for a non-polymerizing hemoglobin to the patient’s own stem cells, which after gene transfer are reinjected into the patient, avoiding the possibility of graft versus host disease. One such gene is a mutated β globin gene for HbA, in which the threonine in position 87 is converted to an asparagine.(Demirci et al., 2020) Position 87 is in a lateral intermolecular contact in the sickle fiber and is responsible for much of the highly reduced co-polymerization of HbF. Another genetic approach is based on the discovery that BCL11A down regulates HbF synthesis, so inhibiting it would be therapeutic.(Menzel et al., 2007; Sankaran et al., 2009) In this approach, reduction of BCL11A expression is achieved either by gene addition or by gene editing with Crispr-Cas9 technology and is currently being tested in clinical trials.(Cisneros and Thein, 2020; Orkin and Bauer, 2019)

Figure 10.

Figure 10.

Sickle cell cures (Tisdale et al., 2020). Allogeneic stem cell transplantation is an established curative strategy that uses bone marrow stem cells from an immunlogically matched normal or sickle trait donor (left image). In new and very promising approaches currently being developed, the patient’s own bone marrow cells are modified either with the addition of a β-globin gene that codes for a polymerization inhibitory β globin or by using Crispr-Cas technology to edit the β6 locus or reactivate HbF synthesis.

Although the curative therapies described above are or will soon be available to most patients in this country, they are expensive and can only be administered at advanced medical facilities. More than 95% of patients suffering from sickle cell disease live in under-resourced countries. So, these curative therapies will not be available to the vast majority of sickle cell patients in the world for many years to come. What is urgently needed now for these individuals is an inexpensive, oral drug that decreases severity by inhibiting sickling. This is an area where biophysical science can be of great help.

Current standard treatment includes blood transfusions and pain medication. In keeping with the importance of intracellular hemoglobin concentration (MCHC), patients are advised to keep well-hydrated to avoid red cell shrinkage. The immediate goal of drug therapy is not to completely inhibit HbS polymerization, but to partially inhibit polymerization so as to increase the delay time that will allow more cells to escape the microcirculation before sickling begins. (Fig. 11) The most successful drug so far is hydroxyurea, which has proven to be effective in reducing the frequency of vaso-occlusive pain crises and improving survival. Unfortunately, it is considerably underutilized.(Ware and Dertinger) The major effect of hydroxyurea is to stimulate the production of HbF, which replaces HbS. HbF has numerous differences in amino acids with HbS, one of the most important being at position 87 as mentioned above. As a result HbF, copolymerizes with HbS only weakly, so the overall effect is a dilution of HbS that increases the delay time for cell sickling.(Eaton and Bunn, 2017) It would be much more effective if HbF were increased in all cells, which has motivated considerable efforts by the hematology community and Pharma to find ways that mimic S/HPFH, in which HbF is evenly distributed in all cells.

Figure. 11.

Figure. 11.

Drug therapy. Drugs can be therapeutic without completely inhibiting polymerization. They need only increase the delay time of HbS polymerization to allow more cells to escape the microcirculation without sickling.

In addition to increasing HbF synthesis, 4 other anti-sickling strategies for drug therapy have been proposed that target HbS polymerization.(Eaton and Bunn, 2017) These include (i) blocking an intermolecular contact site. (ii) preferential binding of a drug to the non-polymerizing R conformation, (iii) reducing the concentration of 2,3-DPG, and (iv) reducing the intracellular Hb concentration. Drug development by Pharma most frequently begins with identifying the relevant target. In sickle cell disease, the target has been known since the first Hb structures were determined by Max Perutz in the early 1960’s. The problem with this approach has been that it is very different than finding a compound that can non-covalently bind to an enzyme’s active or allosteric site, which is generally a pocket in the protein that can provide multiple, non-covalent interactions to stabilize the drug-protein complex. The hemoglobin surface in the region of β6 and other intermolecular contact sites in the fiber is smooth with no such pockets. An additional difficulty is that the drug should not preferentially bind to either quaternary structure, as a shift of the equilibrium to R will produce an unwanted increase in oxygen affinity, as discussed next, and a shift toward T would promote polymerization. There have been no successes yet and, currently very little effort to search for compounds that work by this mechanism.

A new anti-sickling drug that works by mechanism (ii), voxelotor, was approved in 2019 by the FDA, only the second FDA approved anti-sickling drug since hydroxyurea in 1998. Voxelotor forms a reversible covalent Schiff base to the N-terminus in the pocket between the αchains of the R conformation to shift the T-R equilibrium toward R. It has been shown to inhibit in vitro sickling and increase blood hemoglobin levels by 1–2 g/dL, but there is no evidence as yet that it reduces either crisis frequency or organ damage. The downside of increasing R is that it produces an increase in oxygen affinity with a concomitant left shift in the oxygen dissociation curve that decreases oxygen delivery (Fig. 12). Oxygen delivery can be predicted using a modified MWC model in which drug binding and dissociation rates are added to the standard MWC. (Henry et al., 2020b) Our recent calculations suggest that in spite of reduced sickling and increase in Hb levels by voxelotor, the net effect is that there is no increase in oxygen delivery. (Henry et al., 2020a)

Figure 12.

Figure 12.

Whole blood oxygen dissociation curves (ODC’s) at in vivo rate of oxygen pressure decrease (ODC).(Henry et al., 2020a) The in vivo ODC is different from the equilibrium ODC and the ODC measured in the laboratory at the much lower rate of oxygen pressure decrease (~0.3 torr/sec). (Henry et al., 2020b) Blue curve: ODC for SS blood. Green curve: ODC for SS blood with 26% of hemoglobin modified with voxelotor, the average modification in treated patients.(Vichinsky et al., 2019), The biphasic green curve is the result of the drug binding tightly to the R conformation of HbS.(Henry et al., 2020b)

The rationale for reducing the concentration of 2,3-DPG is more complicated because of multiple effects, as shown in experiments by William Poillon.(Poillon and Kim, 1990; Poillon et al., 1995) The therapeutic effect of decreasing 2,3-DPG is that it increases deoxyHbS solubility by destablizing the fiber, increasing intracellular pH, and may even increase red cell volume to decrease the intracellular HbS concentration. The negative effect of decreasing 2,3-DPG is that it will increase oxygen affinity, although the decrease in 2,3-DPG that increases solubility of deoxyHbS sufficient to be therapeutic may not increase oxygen affinity as much as the tight binding voxelotor(Henry et al., 2020b). The net effect has not yet been determined. The interest in reducing 2,3-DPG is based on the clinical observation of the symptoms of sickle cell disease in individuals with sickle trait, who also have a deficiency in pyruvate kinase, the enzyme that catalyzes ATP formation at the end of the glycolysis pathway. The reduction in the rate of ATP formation causes a buildup of precursors in the pathway, one of which is 2,3-DPG that increases sickling. It does so by stabilizing the HbS fiber, decreasing intracellular pH, and shifting the T-R equilibrium toward the lower affinity and polymerizing T conformation – all effects that would contribute to producing symptoms of sickle cell disease. Currently under investigation is a drug that increases ATP and decreases 2,3-DPG by activating pyruvate kinase.(Rab et al., 2021)(Xu et al., 2020).

A promising approach to drug therapy that has no counter-acting effects is to reduce the intracellular hemoglobin concentration to take advantage of its enormous effect on the delay time. This could be accomplished by a small increase in red cell volume. We have recently predicted that as little as a 10% increase in red cell volume sufficiently increases the delay time of sickling to have a major therapeutic effect.(Li et al., 2017) Another approach is to decrease heme synthesis, which would be expected to decrease the intracellular Hb concentration as it does in iron deficiency anemia. Interestingly, sickle cell patients with iron deficiency and a decreased MCHC experience an increase in Hb and a decrease in hemolysis.(Castro et al., 1994)

I have only discussed treatment of sickle cell disease with drugs that are directly anti-sickling. Two other drugs have been approved by the FDA for treating the disease – crizanlizumab and glutamine. Crizanlizumab is an antibody that reduces adherence by binding to P-selectin, a protein that binds cells to the vascular endothelium.(Karki and Kutlar, 2021) It presumably acts by decreasing transit times and therefore the probability of sickling in the microvasculature. Glutamine’s therapeutic effect is the reduction of oxidative stress,(Cox et al., 2020) which along with inflammation is one the multiple sequelae of HbS polymerization. There are many other compounds in clinical trials that focus on sequelae. Accounts of these therapeutic efforts and a more comprehensive discussion of all drugs being considered to treat SS disease can be found in several recent reviews.(Ballas, 2020; Cisneros and Thein, 2020; Nardo-Marino et al., 2020; Osunkwo et al., 2020; Pace et al.; Telen et al., 2019)

Given the multiple strategies for inhibiting sickling in addition to increasing HbF, there is cause for optimism. Moreover, there are now large libraries of compounds that have been tested in humans, such as the more than 12,000 compound “ReFrame” library of the California Institute of Biomedical Research.(Janes et al., 2018) Compounds in these libraries that exhibit therapeutically significant anti-sickling at concentrations known to be non-toxic can be very rapidly approved for clinical trials. My lab has been testing these compounds using a robust and sensitive high throughput kinetic assay for sickling(Dunkelberger et al., 2018) and we will be reporting results of our screen in the very near future.

ACKNOWLEDGEMENT

This work was supported by the Intramural Research Program of the National Institute of Diabetes and Digestive and Kidney Diseases of the National Institutes of Health, Bethesda. The author thanks H. Franklin Bunn and Attila Szabo for many helpful comments on the manuscript and H. Franklin Bunn for his constant help and advice on biochemical and clinical aspects of sickle cell disease since the very beginning of my sickle cell project. All of the research described here in which I was directly involved was carried out in collaboration with a group of talented post-doctoral fellows and senior investigators in the Laboratory of Chemical Physics, especially James Hofrichter, Eric R. Henry, Philip D. Ross, Frank A. Ferrone, and Helen R. Sunshine, Andrea Mozzarelli on sabbatical leave from the University of Parma, and H. Franklin Bunn on sabbatical leave from Harvard Medical School. I have also profited enormously from discussions with Swee Lay Thein and John F. Tisdale, my current sickle cell collaborators in the National Heart, Lung and Blood Institute.

Footnotes

Declaration of Conflict of Interest. There are none

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