It is thought that an increase in the adhesion of circulating reticulocytes to the vascular endothelium may initiate the vascular occlusion underlying the painful crises and organ failures typical of sickle cell disease (SCD). At least 2 receptors, usually present on reticulocytes, seem to be involved in this adhesion process: glycoprotein CD36 (glycoprotein IV) and integrin α4β1 (very late activation antigen–4). Recently, a high frequency of the platelet CD36–deficient phenotype was reported in black Africans. The frequency of this deficiency was similar in subjects with and without SCD. The role of CD36 in vaso-occlusion was then investigated by comparing the clinical course in 2 groups of black Africans homozygous for hemoglobin S, with and without CD36 deficiency, but similar in age, sex, geographical origin, number of α-globin genes, and β-globin gene haplotype. Flow cytometry showed that CD36 was absent from the circulating red blood cells and reticulocytes of platelet CD36–deficient individuals but present on those from patients with normal platelet CD36 expression, and that α4β1 integrin levels were similar on the reticulocytes of the 2 groups. Neither clinical severity, as evaluated by the frequency and characteristics of vaso-occlusive events, nor biological data differed significantly in the 2 groups of patients. Finally, although CD36 has been suggested to play a critical role in the pathogenesis of vaso-occlusion, this study, despite including only a small number of patients, supports the idea that the modulation of expression of a single type of adhesion molecule is insufficient to counteract the pathological process leading to vaso-occlusion in SCD patients.

Sickle cell disease (SCD) is a clinical condition involving recurrent vaso-occlusive events leading to acute painful episodes and multiple organ failure. The mechanisms that precipitate vaso-occlusion are unclear. There is evidence to suggest that interactions between cells, particularly between sickle cells and the vascular endothelium, may increase the transit time of sickle cells in the capillary system, thereby initiating vaso-occlusion.1-4 Various experimental systems have demonstrated the greater adhesion of sickle red blood cells (RBCs), especially immature reticulocytes, to the endothelial cells of the microvasculature.5-10 Consistent with this, unusually high levels of adhesion molecules have been reported on immature reticulocytes of SCD patients.3,11 Cell interactions involve at least 2 adhesion molecules: the glycoprotein CD36 (glycoprotein IV) and the integrin α4β1(very late activation antigen–4), both of which are usually present on erythroid progenitors and lost during RBC maturation.12-14 

We recently reported15 that the frequency of CD36 deficiency is high in black African individuals (7.7%), as high as in Asians, in whom this deficiency was first described,16,17and significantly higher than in individuals of Caribbean origin and in whites. The frequency of CD36 deficiency appears to be similar in black African individuals with and without SCD. In our previous study, we assessed CD36 expression on platelets and monocytes, but not on reticulocytes and mature RBCs. As we thought it possible that CD36 was involved in the vaso-occlusive process that occurs in SCD, we analyzed CD36 expression on reticulocytes and RBCs and investigated whether CD36 modulated the clinical course of SCD by comparing a group of CD36 patients homozygous for hemoglobin (Hb) S (SS) with a group of CD36+ SS patients.

Patients

We studied 14 black African SS patients who presented CD36 deficiency (Table 1). Of these 14 CD36 SS patients, 7 belonged to the group of 18 CD36 individuals previously reported15; that group had included a white woman, an SC-SCD patient of Caribbean origin, and 16 black African subjects, 7 of whom were SS patients. The other 7 patients in our current study were identified later by screening the cohort of SCD patients followed at our center.

Table 1.

Characteristics of the 14 CD36 patients homozygous for hemoglobin S

PatientsDiagnosisAge, ySexCountry
of origin
No. α-globin
genes
β-globin
gene haplotype
CD36 deficiency
on P/M
SS 21 Congo ban/ban +/− 
SS 32 Cameroon ben/ben +/+ 
SS 34 Zaire ban/ban +/− 
SS 32 Zaire ban/ban +/+ 
SS 30 Zaire ban/cam +/+ 
SS 25 Congo ban/ban +/ND 
SS 28 Cameroon ben/ben +/+ 
SS 18 Congo ban/ban +/+ 
SS 10 Congo ban/ban +/+ 
10 SS Congo ben/ban +/ND 
11 SS 12 Zaire ban/ban +/+ 
12 SS Senegal ben/ben +/ND 
13 SS Mali ben/ben +/ND 
14 SS 13 Zaire ban/ban +/ND 
PatientsDiagnosisAge, ySexCountry
of origin
No. α-globin
genes
β-globin
gene haplotype
CD36 deficiency
on P/M
SS 21 Congo ban/ban +/− 
SS 32 Cameroon ben/ben +/+ 
SS 34 Zaire ban/ban +/− 
SS 32 Zaire ban/ban +/+ 
SS 30 Zaire ban/cam +/+ 
SS 25 Congo ban/ban +/ND 
SS 28 Cameroon ben/ben +/+ 
SS 18 Congo ban/ban +/+ 
SS 10 Congo ban/ban +/+ 
10 SS Congo ben/ban +/ND 
11 SS 12 Zaire ban/ban +/+ 
12 SS Senegal ben/ben +/ND 
13 SS Mali ben/ben +/ND 
14 SS 13 Zaire ban/ban +/ND 

P/M indicates platelets and monocytes; SS, homozygote for hemoglobin S; ban, Bantu haplotype; ben, Benin haplotype; cam, Cameroon haplotype; ND, not determined.

A diagnosis of CD36 deficiency was retained if CD36 was absent either from both platelets and monocytes (type I) or from platelets only (type II), as defined by Yamamoto et al.18 We also evaluated (see below) the level of CD36 expression on circulating reticulocytes and mature RBCs.

The clinical history and baseline biological variables of the 14 CD36 SS patients were compared with those of 31 controls, all of whom were SS patients followed at the Sickle Cell Center of Henri Mondor Hospital (Créteil, France) and were known to express CD36 on their blood cells. The 31 controls were selected by matching each of the 14 CD36 SS patients with 2 or 3 controls on the basis of sex, age, geographical origin, number of α-globin genes, and β-globin gene haplotype. The 45 patients studied had been regularly followed up at the Sickle Cell Center for a mean of 5 ± 3 years. As regular blood transfusions, hydroxyurea, and bone marrow transplantation may affect the symptoms of SCD, we considered only clinical and biological data collected before the introduction of any of these treatments. We studied 34 male patients and 11 female patients. Their mean age was 20.6 ± 10.4 years. The patients had lived in France for several years; some, particularly those who were still children, were born in France, but all were of sub-Saharan African origin.

Cell preparation and flow cytometry

Whole blood was obtained by venopuncture with EDTA used as anticoagulant, then washed in phosphate-buffered saline (PBS). The cells were pelleted by centrifugation; the supernatant was discarded; and a cell suspension was prepared with 10 μL cell pellet and 2 mL PBS containing 0.2% bovine serum albumin (BSA). This cell suspension (100 μL, about 5 × 106 total RBCs) was incubated for 90 minutes at room temperature (RT) with 100 μL diluted anti-CD36 monoclonal antibody (FA6-152) (Immunotech, Marseille, France) in PBS-BSA, at a concentration of 5 μg/mL. The preparation was washed twice in PBS and incubated for 45 minutes at RT with 100 μL of a 1/40 dilution in PBS-BSA of phycoerythrin-conjugated goat F(ab′)2 fragments of anti–mouse immunoglobulin G (IgG) (Immunotech). The cells were washed in PBS and incubated for 30 minutes at RT with 1 mL thiazole orange (TO) dye (Retic-Count) (Becton Dickinson, San Jose, CA), which stains RNA, to distinguish between reticulocytes and RBCs. As a negative control, 100 μL cell suspension was simultaneously incubated with 20 μL of an irrelevant mouse monoclonal antibody (mouse isotypic control) (Becton Dickinson) and treated as described above. Samples were then analyzed on a FACSCalibur machine (Becton Dickinson). RBCs were gated on the basis of forward-scatter versus side-scatter. Preliminary experiments showed that more than 99.7% of gated cells expressed the erythroid-specific glycophorin-A marker. At least 20 000 events were collected in this gate for subsequent analysis. The density of CD36 antigen sites was estimated by means of Dako Qifikit Calibration Beads (Dako, Copenhagen, Denmark), with the primary antibody (anti-CD36) used at saturating concentrations. An equivalent quantity of labeled secondary antibody, also used at a saturating concentration, was simultaneously added to the cell suspension and calibration beads bearing various known numbers of monoclonal antibody (IgG) molecules. The mean fluorescence intensity (MFI) measured for cells and beads was correlated with the number of bound primary antibody molecules and was expressed as the specific antibody-binding capacity (SABC). The data obtained with the beads were then used to establish a calibration curve (SABC vs MFI), and the SABC of the samples studied was calculated by interpolation by means of this calibration curve. Thus, SABC values represent an estimation of the maximum number of antibody molecules bound to the cells (assuming an ideal molar 1:1 ratio of antibody bound per antigen reached in antibody excess). Previous studies have shown a strong correlation between the maximum number of antibody molecules bound to red cells estimated by this procedure and the number of antigen sites, as determined by the Scatchard method.19 Expression of α4β1 was simultaneously determined by the same procedure, but with the use of 100 μL diluted CD49d monoclonal antibody (HP2/1) (Immunotech) in PBS-BSA, at a concentration of 5 μg/mL.

Biological and clinical data

Biological data (hemoglobin concentration, fetal hemoglobin level, blood cell count, creatinine concentration, uric acid concentration, liver enzyme activities, and hemolysis parameters) were obtained for each patient during steady state (ie, at least 1 month after an acute clinical event or 3 months after blood transfusion). The patient's case history was studied retrospectively, and data on complications that occurred during medical follow-up were collected. We analyzed the total number of days spent in the hospital for severe painful crises requiring the administration of morphine, the documented infectious episodes requiring hospital admission, and acute and chronic organ failure related to SCD (ie, stroke, acute chest syndrome, priapism, proliferative retinopathy, aseptic necrosis of the head of long bones, leg ulceration, papillary necrosis, chronic renal or hepatic failure, and chronic respiratory or cardiac failure). These biological and clinical data were compared for the 2 groups and analyzed statistically. We also established a clinical severity scoring system, based on a modified version of the model proposed by Hebbel et al,20 taking into account the complications of SCD classically related to vascular occlusions. We introduced into this scoring system other SCD complications such as papillary necrosis, priapism, and acute chest syndrome, all of which contribute to disease severity (Table 2). We also adapted the score assigned to severe painful crises to our clinical practice, as we used aggressive treatment (hydroxyurea or regular RBC exchange) if patients experienced more than 3 severe acute vaso-occlusive events per year. Indeed, Platt et al21 showed that the number of painful episodes per year is a measure of clinical severity and is correlated with early death, particularly in SCD patients older than 20 years.

Table 2.

Clinical severity scoring system

Clinical manifestationsScoring
Severe painful crisis defined as acute painful event requiring hospital admission and morphine administration Less than 1 per year: 0 points
1 to 2 per year: 1 point
3 to 5 per year: 2 points
More than 5 per year: 3 points  
Central nervous system damage documented by MRI or MRA (and conventional arteriography) No lesion: 0 point
Diagnosis of overt stroke, silent stroke, or cerebral vasculopathy: 2 points  
Proliferative retinopathy No lesion: 0 points
Current or previous lesion: 1 point  
Leg ulceration No lesion: 0 points
Current or previous history of leg ulceration: 2 points  
Aseptic necrosis of bones documented by x-ray photography and/or MRI No bone lesion: 0 points
Aseptic necrosis: 2 points per lesion  
Renal hemorrhage secondary to papillary necrosis No episode: 0 points
History of renal hemorrhage: 1 point  
ACS diagnosed on the basis of the association of thoracic pains, dyspnea, and pulmonary infiltrates on x-ray photography No episode: 0 points
History of documented ACS: 2 points per episode  
Priapism No history of priapism: 0 points
History of stuttering or acute priapism: 1 point 
Clinical manifestationsScoring
Severe painful crisis defined as acute painful event requiring hospital admission and morphine administration Less than 1 per year: 0 points
1 to 2 per year: 1 point
3 to 5 per year: 2 points
More than 5 per year: 3 points  
Central nervous system damage documented by MRI or MRA (and conventional arteriography) No lesion: 0 point
Diagnosis of overt stroke, silent stroke, or cerebral vasculopathy: 2 points  
Proliferative retinopathy No lesion: 0 points
Current or previous lesion: 1 point  
Leg ulceration No lesion: 0 points
Current or previous history of leg ulceration: 2 points  
Aseptic necrosis of bones documented by x-ray photography and/or MRI No bone lesion: 0 points
Aseptic necrosis: 2 points per lesion  
Renal hemorrhage secondary to papillary necrosis No episode: 0 points
History of renal hemorrhage: 1 point  
ACS diagnosed on the basis of the association of thoracic pains, dyspnea, and pulmonary infiltrates on x-ray photography No episode: 0 points
History of documented ACS: 2 points per episode  
Priapism No history of priapism: 0 points
History of stuttering or acute priapism: 1 point 

Table was inspired by the model of Hebbel et al.20 

MRI indicates magnetic resonance imaging; MRA, magnetic resonance angiography; ACS, acute chest syndrome.

Statistical analysis

The 2 groups were compared by means of the nonparametric Mann-Whitney test for quantitative data (biological data) and Pearson's chi-square test (or Fisher's exact test when necessary) for categorical data. Paired relative risks for each complication were calculated and compared with 1. A P < .05 was considered to be statistically significant.

CD36 expression

The 14 patients selected on the basis of their platelet CD36–deficient phenotype also lacked CD36 on their reticulocytes and RBCs (Table 3), regardless of whether they had type I or type II CD36 deficiency. In contrast, the 31 controls (also SS patients) strongly expressed CD36 on reticulocytes and, to a lesser extent, on mature RBCs. These results were not influenced by reticulocyte count because reticulocytosis did not differ significantly in the 2 groups: 10.22% ± 4.18% (ie, absolute value of 318 × 109/L ± 95 × 109/L) for the CD36 patients, and 10.92% ± 4.03% (259 × 109/L ± 91 × 109/L) for the CD36+ controls.

Table 3.

CD36 and α4β1 expression on reticulocytes and red blood cells (mean ± SD)

Platelet CD36 phenotype
(No. patients)
Immature reticulocytes,
molecules per cell
Mature reticulocytes,
molecules per cell
Mature RBCs,
molecules per cell
CD36α4β1CD36α4β1CD36α4β1
pCD36 (n = 14) 1423 (±360) 45.6 (±52.3) 
pCD36+ (n = 31) 8911 (±3266) 1656 (±411) 576 (±381)   27 (±19.9) 150 (±83) 
Platelet CD36 phenotype
(No. patients)
Immature reticulocytes,
molecules per cell
Mature reticulocytes,
molecules per cell
Mature RBCs,
molecules per cell
CD36α4β1CD36α4β1CD36α4β1
pCD36 (n = 14) 1423 (±360) 45.6 (±52.3) 
pCD36+ (n = 31) 8911 (±3266) 1656 (±411) 576 (±381)   27 (±19.9) 150 (±83) 

RBCs indicate red blood cells; pCD36, platelet CD36 phenotype.

Flow cytometry analysis used to estimate the approximate level of CD36 (see “Patients, materials, and methods”) shows that RBCs (TO-negative) and reticulocytes (TO-positive) could be distinguished by appropriate gating after staining with TO and anti-CD36 antibody (Figure 1). We identified 2 well-defined reticulocyte populations in the control group of 31 CD36+SS patients: a cell population (population 3, Figure 1B) accounting for a mean of 24% ± 8.1% of the total reticulocyte count, with high levels of CD36 (8911 ± 3266 molecules per reticulocyte) and a cell population (population 2, Figure 1B) with lower levels of CD36 (576 ± 381 molecules per cell) (Figure 1). Flow cytometry analysis suggested that reticulocyte population 3, with high levels of CD36, probably corresponded to more immature reticulocytes or stress reticulocytes produced during high levels of bone marrow activity, as they stained strongly with TO (MFI = 125 ± 15) whereas population 2 corresponded to more mature reticulocytes less intensely stained by this reagent (MFI = 38 ± 10). In contrast, in 24 healthy individuals (white origin), reticulocyte population 3 accounted for only 3% ± 1% of the total reticulocyte count (data not shown). The 31 patients of the control group had 150 ± 83 CD36 molecules per RBC.

Fig. 1.

Flow cytometry analysis of CD36 and α4β1 on RBCs and reticulocytes from SS patients.

Typical profiles showing the simultaneous staining with anti-CD36 (panels A, B) or anti-α4β1 (panels C, D) antibody and thiazole orange of erythroid cell populations (RBCs and reticulocytes) from CD36 (panels A, C) and CD36+ (panels B, D) patients homozygous for Hb S (SS). Mature RBCs, mature reticulocytes, and immature reticulocytes were gated in regions 1, 2, and 3, respectively, according to the intensity of staining with the reagents used. Inserts in the upper left corners show histograms illustrating the heterogeneous expression of CD36 (panel B) and α4β1 (panels C, D) on reticulocytes gated in both regions 2 and 3.

Fig. 1.

Flow cytometry analysis of CD36 and α4β1 on RBCs and reticulocytes from SS patients.

Typical profiles showing the simultaneous staining with anti-CD36 (panels A, B) or anti-α4β1 (panels C, D) antibody and thiazole orange of erythroid cell populations (RBCs and reticulocytes) from CD36 (panels A, C) and CD36+ (panels B, D) patients homozygous for Hb S (SS). Mature RBCs, mature reticulocytes, and immature reticulocytes were gated in regions 1, 2, and 3, respectively, according to the intensity of staining with the reagents used. Inserts in the upper left corners show histograms illustrating the heterogeneous expression of CD36 (panel B) and α4β1 (panels C, D) on reticulocytes gated in both regions 2 and 3.

Close modal

Expression of α4β1

Both CD36 and CD36+ SS patients had large numbers of α4β1 molecules on the surface of their reticulocytes, and the number of α4β1 molecules per cell (estimated as determined in “Patients, materials, and methods”) did not differ significantly in the 2 groups (Table 3). It was possible to distinguish 2 reticulocyte populations (populations 2 and 3) in both groups of patients (Figure 1C-D). Population 3, with the highest level of α4β1, accounted for 22% ± 2% of the total reticulocyte count, a proportion very similar to that for reticulocyte population 3, which expressed high levels of CD36 (see above and Figure 1B). In addition, double-labeling studies showed that population 3 overexpressed CD36 (in CD36+ individuals) and α4β1 (data not shown) in both series of patients. In contrast, in 24 healthy individuals (white origin), the reticulocyte population 3 labeled by anti-α4β1 antibody accounted for only 8% ± 1% of the total reticulocyte count (data not shown). Finally, as expected, α4β1 was absent from mature erythroid cells in CD36 and CD36+ SS patients (Table 3).

Clinical data

The 2 groups of patients were similar in terms of the criteria used for matching (Table 4). No significant difference was found between them for the data studied (Table 5). Mean follow-up time was similar for the group of CD36 patients and the controls. No difference was found in the frequencies of the clinical complications of the disease in the 2 groups. The clinical severity score, which took into account all the vaso-occlusive complications that occurred during follow-up, was similar in the 2 groups, as shown in Table 5. The steady-state values of the biological variables studied were also similar for both groups of patients (Table6).

Table 4.

Comparison of matching criteria in patients homozygous for hemoglobin S with and without CD36 deficiency

Matching criterionCD36SS patients (n = 14)CD36+ SS patients (n = 31)P
Sex ratio (males/females) 3.66 (11/3) 2.87 (23/8) 1.0  
Age (mean ± SD) 19.6 ± 10.4 21.0 ± 10.5 .67  
Geographical origin    
 Central Africa 12 (85.7%) 27 (87.0%) .62 
 West Africa 2 (14.2%) 4 (12.9%)  
No. α-globin genes4-150    
 2 genes 2 (7.4%)  
 3 genes 6 (50.0%) 15 (55.5%) .67  
 4 genes 6 (50.0%) 10 (37.0%)  
β-globin gene haplotype4-151    
 Bantu haplotype 8 (61.5%) 22 (75.8%)  
 Benin haplotype4-153 4 (30.7%) 7 (24.1%) .94 
 Bantu/Benin 1 (7.6%)  
Matching criterionCD36SS patients (n = 14)CD36+ SS patients (n = 31)P
Sex ratio (males/females) 3.66 (11/3) 2.87 (23/8) 1.0  
Age (mean ± SD) 19.6 ± 10.4 21.0 ± 10.5 .67  
Geographical origin    
 Central Africa 12 (85.7%) 27 (87.0%) .62 
 West Africa 2 (14.2%) 4 (12.9%)  
No. α-globin genes4-150    
 2 genes 2 (7.4%)  
 3 genes 6 (50.0%) 15 (55.5%) .67  
 4 genes 6 (50.0%) 10 (37.0%)  
β-globin gene haplotype4-151    
 Bantu haplotype 8 (61.5%) 22 (75.8%)  
 Benin haplotype4-153 4 (30.7%) 7 (24.1%) .94 
 Bantu/Benin 1 (7.6%)  

SS indicates homozygous for hemoglobin S.

F4-150

The number of α-globin genes was not known for 2 CD36 patients and 4 CD36+ SS patients.

F4-151

The β-globin gene haplotype was not known for 1 CD36 patient and 2 CD36+ SS patients.

The SS patients exhibiting a Bantu haplotype were either homozygous Bantu/Bantu (n = 29) or heterozygous Bantu/Cameroon (n = 1).

F4-153

The SS patients exhibiting a Benin haplotype were either homozygous Benin/Benin (n = 8) or heterozygous Benin/Cameroon (n = 3).

Table 5.

Comparison of the clinical severity of the disease in the patients homozygous for hemoglobin S with and without CD36 deficiency

CD36
SS patients
(n = 14)
Matched CD36+
SS patients
(n = 31)
P
Medical follow-up time, y, mean ± SD 4.3 ± 3.0
(range, 1-12) 
5.5 ± 3.4
(range, 1-15) 
.22 
Days per year of hospitalization for severe painful crises, mean ± SD5-150 3.5 ± 7.0
(range, 0-27) 
5.0 ± 6.4
(range, 0-25) 
.27 
Frequency of acute and degenerative complications    
 Sepsis 28.6% 45.2% .29 
 Central nervous system damage 7.1% 6.5% .99 
 Acute chest syndrome 28.6% 25.8% .99 
 Priapism 28.6% 16.1% .63  
 Proliferative retinopathy 14.3% 9.7% .64  
 Aseptic necrosis of the head of long bones 28.6% 25.8% .99  
 Leg ulceration 14.3% 9.7% .64  
 Papillary necrosis 0% 12.9% .29  
Clinical severity score, mean ± SD 4.4 ± 2.7 3.7 ± 2.8 .36 
CD36
SS patients
(n = 14)
Matched CD36+
SS patients
(n = 31)
P
Medical follow-up time, y, mean ± SD 4.3 ± 3.0
(range, 1-12) 
5.5 ± 3.4
(range, 1-15) 
.22 
Days per year of hospitalization for severe painful crises, mean ± SD5-150 3.5 ± 7.0
(range, 0-27) 
5.0 ± 6.4
(range, 0-25) 
.27 
Frequency of acute and degenerative complications    
 Sepsis 28.6% 45.2% .29 
 Central nervous system damage 7.1% 6.5% .99 
 Acute chest syndrome 28.6% 25.8% .99 
 Priapism 28.6% 16.1% .63  
 Proliferative retinopathy 14.3% 9.7% .64  
 Aseptic necrosis of the head of long bones 28.6% 25.8% .99  
 Leg ulceration 14.3% 9.7% .64  
 Papillary necrosis 0% 12.9% .29  
Clinical severity score, mean ± SD 4.4 ± 2.7 3.7 ± 2.8 .36 

SS indicates homozygous for hemoglobin S.

F5-150

 Severe painful crises are acute events requiring hospital admission and the administration of morphine.

Table 6.

Comparison of steady-state biological data in the patients homozygous for hemoglobin S with and without CD36 deficiency (mean ± SD)

CD36
SS patients
(n = 14)
Matched CD36+
SS patients
(n = 31)
P
Hb (11.5-17.7 g/dL) 8.31 ± 1.19 8.99 ± 1.13 .08 
Hb F (<1%) 3.2 ± 2.5 5.1 ± 5.1 .30 
Reticulocytes (25-100 × 109/L) 318 ± 95 259 ± 91 .09  
Leukocytes (4-10 × 109/L) 11.6 ± 3.6 10.3 ± 3.5 .26 
Total bilirubin (4-21 μM) 55.8 ± 35.3 59.8 ± 28.1 .38  
LDH (100-250 IU/L) 429 ± 263 476 ± 305 .88  
Uric acid (145-460 μM) 347 ± 69 330 ± 87 .52  
Creatinine (60-130 μM) 46 ± 15 50 ± 15 .47  
AST (5-40 IU/l) 39 ± 14 42 ± 15 .53  
ALT (5-45 IU/l) 28 ± 12 29 ± 23 .34 
CD36
SS patients
(n = 14)
Matched CD36+
SS patients
(n = 31)
P
Hb (11.5-17.7 g/dL) 8.31 ± 1.19 8.99 ± 1.13 .08 
Hb F (<1%) 3.2 ± 2.5 5.1 ± 5.1 .30 
Reticulocytes (25-100 × 109/L) 318 ± 95 259 ± 91 .09  
Leukocytes (4-10 × 109/L) 11.6 ± 3.6 10.3 ± 3.5 .26 
Total bilirubin (4-21 μM) 55.8 ± 35.3 59.8 ± 28.1 .38  
LDH (100-250 IU/L) 429 ± 263 476 ± 305 .88  
Uric acid (145-460 μM) 347 ± 69 330 ± 87 .52  
Creatinine (60-130 μM) 46 ± 15 50 ± 15 .47  
AST (5-40 IU/l) 39 ± 14 42 ± 15 .53  
ALT (5-45 IU/l) 28 ± 12 29 ± 23 .34 

Normal values are given in parentheses.

SS indicates homozygous for hemoglobin S; Hb, hemoglobin; LDH, lactate dehydrogenase; AST, aspartate aminotransferase; ALT, alanine aminotransferase.

Finally, 10 of the 45 studied patients required, either temporarily or definitively, one of the following treatments: hydroxyurea, iterative blood exchange, or allogeneic bone marrow transplantation. The clinical history of these patients is summarized in Table7. Of these patients, 4 were CD36 whereas the other 6 were CD36+. Clinical severity scores were similar in the 2 groups (5.3 vs 6.0 respectively,P = .74).

Table 7.

Clinical data of the 10 patients who required aggressive treatment

PatientsAge, ySexCD36
status
Main complications observed during follow-up before the introduction
of aggressive treatment
TreatmentCSS
10 Negative Cerebral vasculopathy confirmed by MRA and conventional arteriography Regular RBC exchange
for a year, then BMT 
Negative Iterative severe painful crises with hospital admission around 34 d/y in the last 2 y HU 
12 Negative Iterative severe painful crises; ACS; avascular necrosis of the head of long bones; sepsis HU 
32 Negative ACS; avascular necrosis of the head of long bones; priapism; papillary necrosis; osteomyelitis;
sepsis 
Regular RBC exchange 8  
25 Positive ACS (3 episodes); leg ulcerations; papillary necrosis; sepsis Regular RBC exchange 11  
12 Positive Silent stroke confirmed by MRI; ACS; sepsis Regular RBC exchange 
10 Positive Iterative severe painful crises with hospital admission around 20 d/y in the last 4 y HU 
Positive ACS; iterative severe painful crises with hospital admission around 24 d/y in the last 4 y; sepsis HU 4  
11 Positive Overt stroke and cerebral vasculopathy confirmed by MRA and conventional arteriography;
iterative severe painful crisis with hospital admission around 35 d/y in the last 3 y 
Regular RBC exchange 
10 12 Positive ACS (4 episodes); sepsis HU 
PatientsAge, ySexCD36
status
Main complications observed during follow-up before the introduction
of aggressive treatment
TreatmentCSS
10 Negative Cerebral vasculopathy confirmed by MRA and conventional arteriography Regular RBC exchange
for a year, then BMT 
Negative Iterative severe painful crises with hospital admission around 34 d/y in the last 2 y HU 
12 Negative Iterative severe painful crises; ACS; avascular necrosis of the head of long bones; sepsis HU 
32 Negative ACS; avascular necrosis of the head of long bones; priapism; papillary necrosis; osteomyelitis;
sepsis 
Regular RBC exchange 8  
25 Positive ACS (3 episodes); leg ulcerations; papillary necrosis; sepsis Regular RBC exchange 11  
12 Positive Silent stroke confirmed by MRI; ACS; sepsis Regular RBC exchange 
10 Positive Iterative severe painful crises with hospital admission around 20 d/y in the last 4 y HU 
Positive ACS; iterative severe painful crises with hospital admission around 24 d/y in the last 4 y; sepsis HU 4  
11 Positive Overt stroke and cerebral vasculopathy confirmed by MRA and conventional arteriography;
iterative severe painful crisis with hospital admission around 35 d/y in the last 3 y 
Regular RBC exchange 
10 12 Positive ACS (4 episodes); sepsis HU 

CSS indicates clinical severity score; MRA, magnetic resonance angiography; RBC, red blood cell; BMT, bone marrow transplantation; HU, hydroxyurea; ACS, acute chest syndrome; MRI, magnetic resonance imaging.

The symptoms of SCD are dominated by recurrent vaso-occlusive episodes, a high risk of infection, and chronic hemolytic anemia. The severity of these manifestations differs greatly among patients, whereas the genetic basis of the disease is the same in all patients: a single point mutation in the β-globin gene. The initial concept of a single physiopathologic process, whose basis is that polymerization of deoxygenated HbS leads to sickling, is therefore insufficient to explain this clinical polymorphism. This has led to investigation of the role of factors modulating disease severity.2 One of these factors, greater adhesion of RBCs to the microvascular endothelium, has been demonstrated in several experimental systems5-10 and has been suggested as initiating vaso-occlusion.20 These cell-cell interactions involve plasma proteins, such as thrombospondin, von Willebrand factor, and fibronectin,8-10,22 and adhesive molecules, such as CD36 and α4β1.11,23,24 CD36 and α4β1 are normally present on the cell surface of erythroid precursors and other cell lineages,12,22 but have been shown to be present at higher levels on sickle reticulocytes.11,23 

The frequency of platelet CD36 deficiency has been reported to be high in Asians16,17 and, more recently, in black Africans with and without SCD.15 CD36 deficiency was diagnosed if CD36 was absent from both platelets and monocytes (type I) or from platelets only (type II). In this study, CD36 was also found to be absent from the erythroid cells of the 14 platelet CD36 patients. These patients therefore displayed 2 types of CD36 deficiency: either all 3 hematopoietic lineages lacked CD36 or only the erythroid and megakaryocytic cells were CD36-deficient.

The detection of erythroid cells lacking CD36 in SCD patients may have important implications owing to the role of CD36 in RBC adhesion to endothelial cells. Differences among individuals in the expression of this RBC-adhesive molecule could contribute to the clinical variability of SCD. Styles et al25 showed that α4β1 and CD36 levels were lower on the reticulocytes of SCD patients treated with hydroxyurea, a drug known to increase fetal hemoglobin synthesis and to improve the clinical course of SCD patients.26,27 These authors found that hydroxyurea induced a significant decrease in α4β1 expression on reticulocytes and mature RBCs. CD36 levels decreased on reticulocytes, but not to the same extent as α4β1, and often increased on mature RBCs. Styles et al25 then suggested that hydroxyurea-induced changes in the expression of α4β1 and CD36 may account for some of the clinical benefits of this drug. In light of published results suggesting that CD36 is involved in the vaso-occlusive process, the aim of this study was to determine whether CD36 expression on sickle RBCs and reticulocytes could be considered to be a determinant factor of SCD severity in a human model.

Our results suggest that the presence or absence of CD36 on sickle reticulocytes and RBCs has no effect on the severity of sickle cell anemia. Indeed, disease outcome was similar for CD36 SS patients and controls, all of whom had been followed for long periods of time at the same sickle cell center, with the same therapeutic protocol. In particular, the morbidity associated with vaso-occlusive events was not affected by the absence of CD36 from reticulocytes, and the number of day-hospitalizations for severe painful crises and the frequency of organ failure related to vaso-occlusion were similar for the 2 groups of patients. As many of the patients studied were adults or adolescents, we were able to evaluate the outcome of the disease and, in particular, late complications. Furthermore, analysis of the group of 10 patients requiring aggressive treatment (ie, blood transfusion program, hydroxyurea, or allogeneic bone marrow transplantation) showed that the proportion of patients requiring such treatment was similar in CD36 patients (4 of 14) and CD36+ patients (6 of 31) and that the vaso-occlusive lesions observed in these 2 groups of patients were similar. This suggests that the absence of CD36 from reticulocytes and RBCs does not prevent severe vaso-occlusive complications in SCD.

In conclusion, although previous studies have suggested that CD36 plays a key role in the adhesion of sickle RBCs to the endothelium and have provided evidence that this adhesive molecule is involved in the vaso-occlusive process, this study, despite including only a small number of patients, is not consistent with this assertion in in vivo conditions. As in other systems, the adhesive molecules on sickle reticulocytes are probably redundant. Many molecules are presumably involved in the adhesion of sickle cells to the endothelium, and these molecules may interact in initiation of the vaso-occlusive process. Consistent with this, we have shown that both CD36 and CD36+ SS patients express similarly high levels of α4β1 on a subpopulation of reticulocytes accounting for about 22% to 24% of the total reticulocyte count. These conclusions are consistent with the results obtained in vitro by Joneckis et al,28 who demonstrated that CD36-thrombospondin interactions were not inhibited by known antagonists, suggesting that a different mechanism may be responsible for sickle RBC adhesion to the endothelium. We therefore suggest that the modulation of a single type of adhesion molecule (in this case, variation in CD36 expression) is unlikely to be sufficient to counteract the pathologic process leading to vaso-occlusion in SCD patients.

The publication costs of this article were defrayed in part by page charge payment. Therefore, and solely to indicate this fact, this article is hereby marked “advertisement” in accordance with 18 U.S.C. section 1734.

1
Wautier
JL
Galactéros
F
Wautier
MP
et al
Clinical manifestations and erythrocyte adhesion to endothelium in sickle cell syndrome.
Am J Hematol.
19
1985
121
130
2
Hebbel
RP
Beyond hemoglobin polymerization: the red blood cell membrane and sickle disease pathophysiology.
Blood.
77
1991
214
237
3
Browne
PV
Hebbel
RP
CD36-positive stress reticulocytosis in sickle cell anemia.
J Lab Clin Med.
127
1996
340
347
4
Hebbel
RP
Adhesive interactions of sickle erythrocytes with endothelium.
J Clin Invest.
99
1997
2561
2564
5
Hoover
R
Rubin
R
Wise
G
Warren
R
Adhesion of normal and sickle erythrocytes to endothelial monolayer cultures.
Blood.
54
1979
872
876
6
Mohandas
N
Evans
E
Adherence of sickle erythrocytes to vascular endothelial cells: requirement for both cell membrane changes and plasma factors.
Blood.
64
1984
282
287
7
Fabry
ME
Fine
E
Rajanayagam
V
et al
Demonstration of endothelial adhesion of sickle cells in vivo: a distinct role for deformable sickle cell discocytes.
Blood.
79
1992
1602
1611
8
Sugihara
K
Sugihara
T
Mohandas
N
Hebbel
RP
Thrombospondin mediates adherence of CD36 sickle reticulocytes to endothelial cells.
Blood.
80
1992
2634
2642
9
Brittain
HA
Eckman
JR
Swerlick
RA
Howard
RJ
Wick
T
Thrombospondin from activated platelets promotes sickle erythrocyte adherence to human microvascular endothelium under physiologic flow: a potential role for platelet activation in sickle cell vaso-occlusion.
Blood.
81
1993
2137
2143
10
Barabino
GA
Wise
RJ
Woodbury
VA
et al
Inhibition of sickle erythrocyte adhesion to immobilized thrombospondin by von Willebrand factor under dynamic flow conditions.
Blood.
89
1997
2560
2567
11
Joneckis
CC
Ackley
RL
Orringer
EP
Wayner
EA
Parise
LV
Integrin α4β1 and glycoprotein IV (CD36) are expressed on circulating reticulocytes in sickle cell anemia.
Blood.
82
1993
3548
3555
12
van Schravendijk
MR
Handunnetti
SM
Barnwell
JW
Howard
RJ
Normal human erythrocytes express CD36, an adhesion molecule of monocytes, platelets, and endothelial cells.
Blood.
80
1992
2105
2114
13
Okumura
N
Tsuji
K
Nakahata
T
Changes in cell surface antigen expression during proliferation and differentiation of human erythroid progenitors.
Blood.
80
1992
642
650
14
Freyssinier
JM
Lecoq-Lafon
C
Amsellem
S
et al
Purification, amplification and characterization of a population of human erythroid progenitors.
Br J Haematol.
106
1999
912
922
15
Lee
K
Godeau
B
Fromont
P
et al
CD36 deficiency is frequent and can cause platelet immunization in Africans.
Transfusion.
39
1999
873
879
16
Ikeda
H
Mitani
T
Ohnuma
M
et al
A new platelet-specific antigen, Naka, involved in the refractoriness of HLA-matched platelet transfusion.
Vox Sang.
57
1989
213
217
17
Yamamoto
N
Ikeda
H
Tandon
NN
et al
A platelet membrane glycoprotein (GP) deficiency in healthy blood donors: Naka− platelets lack detectable GP IV (CD36).
Blood.
76
1990
1698
1703
18
Yamamoto
N
Akamatsu
N
Sakuraba
H
Yamazaki
H
Tanoue
K
Platelet glycoprotein IV (CD36) deficiency is associated with the absence (type I) or the presence (type II) of glycoprotein IV on monocytes.
Blood.
83
1994
392
397
19
Fouchet
C
Gane
P
Huet
M
et al
A study of the coregulation and tissue specificity of XG and MIC2 gene expression in eukaryotic cells.
Blood.
95
2000
1819
1926
20
Hebbel
RP
Boogaerts
MAB
Eaton
JW
Steinberg
MH
Erythrocyte adherence to endothelium in sickle-cell anemia: a possible determinant of disease severity.
N Engl J Med.
302
1980
992
995
21
Platt
OS
Thorington
BD
Brambilla
DJ
et al
Pain in sickle cell disease: rates and risk factors.
N Engl J Med.
325
1991
11
16
22
Greenwalt
DE
Lipsky
RH
Ockenhouse
CF
Ikeda
H
Tandon
NN
Jamieson
GA
Membrane glycoprotein CD36: a review of its roles in adherence, signal transduction, and transfusion medicine.
Blood.
80
1992
1105
1115
23
Swerlick
RA
Eckman
JR
Kumar
A
Jeitler
M
Wick
TM
α4β1-integrin expression on sickle reticulocytes: vascular cell adhesion molecule-1-dependent binding to endothelium.
Blood.
82
1993
1891
1899
24
Gee
BE
Platt
OS
Sickle reticulocytes adhere to VCAM-1.
Blood.
85
1995
268
274
25
Styles
LA
Lubin
B
Vichinsky
E
et al
Decrease of very late activation antigen-4 and CD36 on reticulocytes in sickle cell patients treated with hydroxyurea.
Blood.
89
1997
2554
2559
26
Charache
S
Terrin
ML
Moore
RD
et al
Effect of hydroxyurea on the frequency of painful crises in sickle cell anemia.
N Engl J Med.
332
1995
1317
1322
27
Ferster
A
Vermylen
C
Cornu
G
et al
Hydroxyurea for treatment of severe sickle cell anemia: a pediatric clinical trial.
Blood.
88
1996
1960
1964
28
Joneckis
CC
Shock
DD
Cunningham
ML
Orringer
EP
Parise
LV
Glycoprotein IV-independent adhesion of sickle red blood cells to immobilized thrombospondin under flow conditions.
Blood.
87
1996
4862
4870

Author notes

P. Bierling, EFS-Ile de France, Laboratoire d'immunologie leuco- plaquettaire, Hôpital Henri Mondor, 51 avenue du Maréchal de Lattre de Tassigny, 94000 Créteil, France; e-mail: philippe.bierling@efs.sante.fr.

Sign in via your Institution