Chronic hemolysis is a prevalent characteristic of SCA that intensifies during times of illness, such as infection, acute chest syndrome (ACS), and vaso-occlusive pain episodes.1 Hemolysis causes the release of cell-free hemoglobin and free plasma heme2 which can damage lipid, protein, and DNA through the generation of reactive oxygen species and inflammatory signaling pathways.3 The plasma protein haptoglobin (HP) binds to and clears cell-free hemoglobin from circulation thereby preventing its deleterious effects.4,5
A common variant in the HP gene may offer a genetic risk factor for disease-related complications in SCA. HP has two predominant alleles in humans (1 and 2) leading to three possible genotypes: HP1–1, HP1–2, and HP2–2. The HP2–2 protein has shown a decreased efficiency and lower affinity for binding cell-free hemoglobin; thus, the ability to scavenge cell-free hemoglobin is genotype dependent.6 The HP2–2 protein also has a lower circulating concentration and poorer protection against oxidative damage from cell-free hemoglobin in vitro.7–9 The role of HP genotype and its relation to disease severity has been studied in multiple disease states such as epilepsy,10 cardiovascular disease,11,12 hypercholesteremia,13 diabetes,14 hemochromatosis,15 and sub-arachnoid hemorrhage,16,17 with variable results. However, there is little data investigating the role of these genotypes in SCA. We hypothesized that children with SCA and the HP2–2 genotype will have an increased incidence of vaso-occlusive pain and ACS episodes, compared to those with the HP1–1 and HP1–2 genotypes. To test this hypothesis, we examined the impact of HP genotype on the development of pain and ACS episodes in a primary cohort of children with SCA. We then sought to validate our findings in a replication cohort of age-matched children with SCA.
The primary cohort included participants enrolled in the Sleep and Asthma Cohort (SAC), a prospective cohort study of 246 children and adolescents with SCA (HbSS, HbSβ°). Children aged 4 to 18 years were enrolled and followed between 2005 and 2011 as previously described.18 A total of 199 participants from the SAC study with DNA available for genotyping were included in the primary cohort. These participants had a mean age of 10.8 years (range 4.0–19.3 years), had DNA available, laboratory data collected at baseline, and were followed for at least one year during the study period (mean 5.0, range 1.1–6.7 years).
The replication cohort included participants enrolled in the Cooperative Study of Sickle Cell Disease (CSSCD), a multi-institutional prospective cohort study of 4,085 individuals with SCA (HbSS, HbSβ°) from 23 U.S. academic hospitals that followed participants from 1977 to 1995 in a standardized fashion.19,20 A total of 458 participants from the CSSCD were included as they had GWAS data available, laboratory data collected at baseline, were between 4–19 years of age (mean age 11.1 years, range 4.0–19.3yrs), and were followed for at least one year during the study period (mean 6.3, range 2–8.2 years), in order to harmonize the data with the primary (SAC) cohort. Uniform definitions for acute pain and ACS were utilized in both the SAC and CSSCD cohorts.21 An acute pain episode was defined as a hospitalization for SCA-associated pain, excluding headaches, and requiring opioid treatment. ACS was defined as a new clinical or radiographic pulmonary infiltrate in the context of an acute illness characterized by respiratory symptoms with or without fever. Respiratory symptoms included cough, wheezing, rales, chest pain, decreased oxygen saturation (decrease >2% from baseline), use of accessory muscles of respiration, or increased respiratory rate. Pneumonia was included in this ACS definition. Both pain and ACS rates were calculated as events per year to account for variable follow-up duration. Table 1 shows descriptive statistics of both cohorts.
Table 1.
Descriptive statistics of the study populations from the primary cohort (SAC) and replication cohort (CSSCD)
| SAC N= 199 | CSSCD N= 458 | P Value* | |
|---|---|---|---|
| Age, years, mean (SD) | 10.8 (4.2) | 11.1 (4.4) | 0.419 |
| Male, N (%) | 105 (52.8) | 230 (50.2) | 0.549 |
| Hemoglobin, g/dL, mean (SD) | 8.1 (1.1) | 8.2 (1.1) | 0.292 |
| White blood cell count, 109/, mean (SD) | 12.1 (3.9) | 12.2 (3.7) | 0.788 |
| Prospective time, years, median (IQR) | 5.1 (4.2 – 5.9) | 6.3 (5.7 – 6.5) | <0.001# |
| Rate of pain episodes per year, mean (SD) | 0.9 (1.3) | 0.8 (2.3) | <0.001‡ |
| Rate of ACS episodes per year, mean (SD) | 0.2 (0.3) | 0.1 (0.3) | <0.001‡ |
| Haptoglobin 1–1 genotype, N (%) | 60 (30.2) | 108 (23.6) | |
| Haptoglobin 1–2 genotype, N (%) | 91 (45.7) | 237 (51.7) | |
| Haptoglobin 2–2 genotype, N (%) | 48 (24.1) | 113 (24.7) |
Overall comparison between CSSCD and SAC across all haptoglobin genotypes. T test for mean difference and Chi-square test for frequencies, unless otherwise noted.
Mann-Whitney U test
Negative binomial regression
HP genotype was assessed by two methods: direct PCR and imputation, with a subset of subjects undergoing both methods in order to determine agreement between methods. For the SAC cohort, analysis of HP genotype was done by direct HP genotyping using an established real-time TaqMan PCR method.22 Next, in a subset of 187 SAC participants who had both DNA available for direct PCR genotyping and GWAS level genotyping, we validated a previously published imputation method13 in this US population of African Ancestry. Using GWAS data, HP genotype was determined based on imputation of HP structural features from surrounding SNPs.13 We observed excellent agreement between genotyping methods (Cohen’s Kappa 0.84, balanced accuracy 90%, 95% CI [85%; 93%]). After this validation, imputation was used to determine HP genotype in the replication CSSCS cohort (Supplemental figure 1 and Supplemental table 1).
The distribution of haptoglobin genotypes in both cohorts was similar to distribution previously reported among patients with SCA23 and individuals of African ancestry.8 In the SAC cohort, 60 participants were HP1–1 (30%), 91 were HP1–2 (46%), and 48 were HP2–2 (24%). In the CSSCD cohort, 108 were HP1–1 (24%), 237 were HP1–2 (52%), and 113 were HP2–2 (25%) (Supplemental Figure 2). In multivariable negative binomial regression models, HP2–2 genotype was associated with an increased rate of severe vaso-occlusive pain when compared to the HP1–1 and HP1–2 genotypes in both the SAC cohort (incidence rate ratio [IRR] 1.64, 95% confidence interval [CI] 1.04–2.58, p= 0.03) and the CSSCD cohort (IRR 1.57, 95% CI 1.03–2.39, p= 0.04) (Figure 1). Older age and increased WBC count were also associated with a modest increase in pain rate in the SAC cohort, as has been demonstrated previously.24,25 In the CSSCD cohort, higher WBC was associated with a significantly decreased rate of pain, but with a minimal effect size (IRR 0.95, 95% CI 0.90–0.99, p=0.04). In contrast, HP2–2 was not independently associated with an increased rate of ACS episodes in either cohort. Increased WBC was associated with an increased rate of ACS episodes in the SAC cohort (IRR 1.07, 1.02–1.13, p=0.01) while no covariates were associated with an increased rate of ACS episodes in the CSSCD cohort (Supplemental Table 2).
Figure 1.

Negative binomial regression model demonstrating increased risk of severe acute vaso-occlusive pain episodes in individuals with sickle cell anemia and the HP2–2 genotype compared to the HP1–1 and HP1–2 genotypes in both the primary and replication cohorts. Incidence rate ratio (IRR) with bars representing confidence intervals for each clinical covariate.
SCA is a chronic hemolytic disease with a range of severity of hemolysis both over time in an individual and between individuals. Kato et al have put forth a working hypothesis that the products of intravascular hemolysis damage the vascular system and contribute to the pathophysiology of SCA.26 We have expanded on this concept to show that genetic variation in the ability to scavenge cell-free hemoglobin is also implicated in SCA-related morbidity. In children with SCA, the HP2–2 genotype is associated with a significantly increased rate of severe acute vaso-occlusive pain episodes in both our primary and replication cohorts, with an increase of 64% and 57% respectively compared to HP1–1 and HP1–2 genotypes. This association was shown in the primary cohort by direct molecular analysis of HP genotyping and confirmed in the replication cohort by imputation of the HP2–2 genotype from GWAS data. In addition, we validated the use of HP imputation for assessment of the impact of HP variants on clinical outcomes in a US population of African ancestry as demonstrated by the high correlation between PCR-based and imputed HP genotypes.
The effect of haptoglobin genotype on morbidity and mortality has been studied in other acute and chronic diseases, with variable results. Individuals with the HP2–2 genotype have been found to have increased risk for diabetic cardiovascular and renal disease,11,27 cognitive decline among those with type 2 diabetes,28 delayed brain injury after subarachnoid hemorrhage,16 and development of ARDS in sepsis,29 while other studies have shown no apparent association between risk for iron accumulation in hereditary hemochromatosis,15 cardiovascular risks in individuals with elevated HbA1C,30 or outcomes after subarachnoid hemorrhage.31 To our knowledge, this is the first study to examine how variations in the haptoglobin genotype may contribute to morbidity in children with SCA. Previous studies have shown that the HP2–2 protein has a decreased efficiency and lower binding affinity for cell-free hemoglobin.6 These data, taken in conjunction with the finding that heme infusion leads to endothelial damage and vaso-occlusion in transgenic SCA mice,32 highlight the importance of heme-mediated injury in the pathophysiology of SCA. Additionally, studies conducted in SCA mice demonstrate infusion of human haptoglobin prevents hemoglobin mediated vaso-occlusion and protects against heme-induced death.32 Haptoglobin infusions have been proposed as a therapeutic intervention for adults with SCA, however this intervention has yet to be explored in clinical trials.33
The current study finds an increased risk for episodes of acute severe vaso-occlusive pain among children with SCA and the HP2–2 genotype, supporting an important role for hemoglobin scavengers in modulating heme-mediated injury in SCA. Although further studies will be needed to provide insight into biological mechanisms of these processes, therapeutic strategies to decrease cell-free hemoglobin may complement other treatment strategies such as hydroxyurea, or anti-selectin antibodies. These complementary therapeutic strategies may attenuate the incidence rates of severe acute pain episodes in children with SCA.
In summary, in two large cohorts of children with SCA, HP2–2 genotype was associated with an increased risk for the development of acute severe vaso-occlusive pain episodes. HP genotype may prove to be an important predictor of morbidity in children with SCA. Further research is needed to fully understand the role of the haptoglobin genotype and the oxidative effect of cell-free hemoglobin and free plasma heme in the pathophysiology of SCA.
Supplementary Material
Acknowledgements:
Supported in part by the National Heart, Lung, and Blood Institute: HL R01 87681, R01 068970 and RC2 HL101212 (Steinberg), NIH 1R01HL079937 (DeBaun), NIH K24 HL103836 (Ware), NIH HL135849 (Ware and Bastarache), and NIH T32HL087738-12 (Bernard)
Footnotes
This article has an online data supplement, which is accessible from this issue’s table of contents online.
Conflict of interest statement: Dr. Ware has served on advisory boards for Bayer, Merck, Quark and CSL Behring and receives research funding from CSL Behring and Genentech.
References
- 1.Kato GJ, Steinberg MH, Gladwin MT. Intravascular hemolysis and the pathophysiology of sickle cell disease. J. Clin. Invest 2017;127(3):750–760. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 2.Balla G, Vercellotti GM, Muller-Eberhard U, Eaton J, Jacob HS. Exposure of endothelial cells to free heme potentiates damage mediated by granulocytes and toxic oxygen species. Lab. Invest 1991;64(5):648–55. [PubMed] [Google Scholar]
- 3.Kumar S, Bandyopadhyay U. Free heme toxicity and its detoxification systems in human. Toxicol. Lett 2005;157(3):175–188. [DOI] [PubMed] [Google Scholar]
- 4.Gladwin MT, Ofori-Acquah SF. Erythroid DAMPs drive inflammation in SCD. Blood. 2014;123(24):3689–3690. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 5.Belcher JD, Chen C, Nguyen J, et al. Haptoglobin and hemopexin inhibit vaso-occlusion and inflammation in murine sickle cell disease: Role of heme oxygenase-1 induction. PLoS One. 2018;13(4):e0196455. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 6.Wejman JC, Hovsepian D, Wall JS, Hainfeld JF, Greer J. Structure and assembly of haptoglobin polymers by electron microscopy. J. Mol. Biol 1984;174(2):343–368. [DOI] [PubMed] [Google Scholar]
- 7.Koda Y, Soejima M, Yoshioka N, Kimura H. The haptoglobin-gene deletion responsible for anhaptoglobinemia. Am. J. Hum. Genet 1998;62(2):245–52. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 8.Langlois MR, Delanghe JR. Biological and clinical significance of haptoglobin polymorphism in humans. Clin. Chem 1996;42(10):1589–1600. [PubMed] [Google Scholar]
- 9.Andersen CBF, Stødkilde K, Sæderup KL, et al. Haptoglobin. Antioxid. Redox Signal 2017;26(14):814–831. [DOI] [PubMed] [Google Scholar]
- 10.Panter SS, Sadrzadeh SM, Hallaway PE, et al. Hypohaptoglobinemia associated with familial epilepsy. J. Exp. Med 1985;161(4):748–754. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 11.Asleh R, Marsh S, Shilkrut M, et al. Genetically determined heterogeneity in hemoglobin scavenging and susceptibility to diabetic cardiovascular disease. Circ. Res 2003;92(11):1193–1200. [DOI] [PubMed] [Google Scholar]
- 12.Pechlaner R, Kiechl S, Willeit P, et al. Haptoglobin 2–2 genotype is not associated with cardiovascular risk in subjects with elevated glycohemoglobin-results from the Bruneck Study. J. Am. Heart Assoc 2014;3(3):e000732. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 13.Boettger LM, Salem RM, Handsaker RE, et al. Recurring exon deletions in the HP (haptoglobin) gene contribute to lower blood cholesterol levels. Nat. Genet 2016;48(4):359–366. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 14.Dalan R, Liuh Ling G. The protean role of haptoglobin and haptoglobin genotypes on vascular complications in diabetes mellitus. Eur. J. Prev. Cardiol 2018;204748731877682. [DOI] [PubMed] [Google Scholar]
- 15.Carter K, Bowen DJ, McCune CA, Worwood M. Haptoglobin type neither influences iron accumulation in normal subjects nor predicts clinical presentation in HFE C282Y haemochromatosis: Phenotype and genotype analysis. Br. J. Haematol 2003;122(2):326–332. [DOI] [PubMed] [Google Scholar]
- 16.Blackburn SL, Kumar PT, McBride D, et al. Unique Contribution of Haptoglobin and Haptoglobin Genotype in Aneurysmal Subarachnoid Hemorrhage. Front. Physiol 2018;9:592. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 17.Gaastra B, Ren D, Alexander S, et al. Haptoglobin genotype and aneurysmal subarachnoid hemorrhage: Individual patient data analysis. Neurology. 2019;92(18):e2150–e2164. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 18.Strunk RC, Cohen RT, Cooper BP, et al. Wheezing Symptoms and Parental Asthma Are Associated with a Physician Diagnosis of Asthma in Children with Sickle Cell Anemia. J. Pediatr 2014;164(4):821–826.e1. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 19.Gaston M, Rosse WF. The cooperative study of sickle cell disease: review of study design and objectives. Am. J. Pediatr. Hematol. Oncol 1982;4(2):197–201. [PubMed] [Google Scholar]
- 20.Gaston M, Smith J, Gallagher D, et al. Recruitment in the Cooperative Study of Sickle Cell Disease (CSSCD). Control. Clin. Trials 1987;8(4 Suppl):131S–140S. [DOI] [PubMed] [Google Scholar]
- 21.Vichinsky EP, Styles LA, Colangelo LH, et al. Acute Chest Syndrome in Sickle Cell Disease: Clinical Presentation and Course. Blood. 1997;89(5):1787–1792. [PubMed] [Google Scholar]
- 22.Soejima M, Koda Y. TaqMan-based real-time PCR for genotyping common polymorphisms of haptoglobin (HP1 and HP2). Clin. Chem 2008;54(11):1908–1913. [DOI] [PubMed] [Google Scholar]
- 23.Adekile AD, Haider MZ. Haptoglobin gene polymorphisms in sickle cell disease patients with different βS-globin gene haplotypes. Med. Princ. Pract 2010;19(6):447–450. [DOI] [PubMed] [Google Scholar]
- 24.Quinn CT, Lee NJ, Shull EP, et al. Prediction of adverse outcomes in children with sickle cell anemia: a study of the Dallas Newborn Cohort. Blood. 2008;111(2):544–548. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 25.McClish DK, Smith WR, Levenson JL, et al. Comorbidity, Pain, Utilization, and Psychosocial Outcomes in Older versus Younger Sickle Cell Adults: The PiSCES Project. Biomed Res. Int 2017;2017:4070547. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 26.Kato GJ, Gladwin MT, Steinberg MH. Deconstructing sickle cell disease: Reappraisal of the role of hemolysis in the development of clinical subphenotypes. Blood Rev. 2007;21(1):37–47. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 27.Levy AP, Hochberg I, Jablonski K, et al. Haptoglobin phenotype is an independent risk factor for cardiovascular disease in individuals with diabetes: The strong heart study. J. Am. Coll. Cardiol 2002;40(11):1984–1990. [DOI] [PubMed] [Google Scholar]
- 28.Beeri MS, Lin H-M, Sano M, et al. Association of the Haptoglobin Gene Polymorphism With Cognitive Function and Decline in Elderly African American Adults With Type 2 Diabetes Findings From the Action to Control Cardiovascular Risk in Diabetes – Memory in Diabetes (ACCORD-MIND) Study. JAMA Netw. Open 2018;1(7):1–11. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 29.Kerchberger VE, Bastarache JA, Shaver CM, et al. Haptoglobin-2 variant increases susceptibility to the acute respiratory distress syndrome during sepsis. JCI Insight. 2019; [DOI] [PMC free article] [PubMed] [Google Scholar]
- 30.Pechlaner R, Kiechl S, Willeit P, et al. Haptoglobin 2–2 genotype is not associated with cardiovascular risk in subjects with elevated glycohemoglobin-results from the Bruneck Study. J. Am. Heart Assoc 2014;3(3):e000732. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 31.Gaastra B, Ren D, Alexander S, et al. Haptoglobin genotype and aneurysmal subarachnoid hemorrhage: Individual patient data analysis. Neurology. 2019;92(18):e2150–e2164. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 32.Belcher JD, Chen C, Nguyen J, et al. Heme triggers TLR4 signaling leading to endothelial cell activation and vaso-occlusion in murine sickle cell disease. Blood. 2014;123(3):377–390. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 33.Quimby KR, Hambleton IR, Landis RC. Intravenous infusion of haptoglobin for the prevention of adverse clinical outcome in Sickle Cell Disease. Med. Hypotheses 2015;85(4):424–432. [DOI] [PubMed] [Google Scholar]
Associated Data
This section collects any data citations, data availability statements, or supplementary materials included in this article.
