Abstract
Hereditary stomatocytosis (HSt) is a type of congenital hemolytic anemia caused by abnormally increased cation permeability of erythrocyte membranes. Dehydrated HSt (DHSt) is the most common subtype of HSt and is diagnosed based on clinical and laboratory findings related to erythrocytes. PIEZO1 and KCNN4 have been recognized as causative genes, and many related variants have been reported. We analyzed the genomic background of 23 patients from 20 Japanese families suspected of having DHSt using a target capture sequence and identified pathogenic/likely pathogenic variants of PIEZO1 or KCNN4 in 12 families.
Subject terms: Disease genetics, Disease genetics
Hemolytic anemia: new variants in hereditary subtypes
Genetic variants identified in 12 Japanese families are likely to be responsible for a rare hereditary condition causing red blood cells (RBCs) to rupture. Keiko Shimojima Yamamoto of Tokyo Women’s Medical University, Japan, and colleagues conducted genetic analyses on blood samples from 23 people in 20 Japanese families with suspected dehydrated hereditary spherocytosis (DHSt), caused by RBC ion imbalances leading to dehydration and rupture. In 12 families, the analyses revealed probable disease-causing variants in two genes, PIEZO1 and KCNN4, some of which were identified for the first time. Both genes are related to RBC ion channels and the mutations lead to two slightly different forms of DHSt. Further understanding could improve treatment strategies. Comprehensive genomic analysis is a powerful tool for understanding the genetic cause of congenital hemolytic anemia.
Introduction
Hereditary stomatocytosis (HSt) is a type of congenital hemolytic anemia caused by abnormally increased cation permeability of erythrocyte membranes1,2. The most common subtype of HSt (dehydrated HSt [DHSt] or hereditary xerocytosis [HX]) is diagnosed by screening tests, such as evaluation of erythrocyte morphology, measurement of the cation concentration inside and outside the erythrocyte membrane, or osmotic gradient ektacytometry3.
DHSt is an autosomal dominant hemolytic anemia characterized by abnormally shaped red blood cells (RBCs) and associated with primary erythrocyte dehydration4. DHSt is thought to be rare, and a prevalence estimate of 1:50,000 has been suggested1. This condition is characterized by mild to moderate hemolysis with varying numbers of stomatocytes on peripheral blood smears, which are sometimes rare, ill-formed, and likely overlooked. The reticulocyte count is elevated, and the mean cellular hemoglobin concentration (MCHC) and mean cell hemoglobin content (MCH) are increased. Paradoxically, the red cell mean corpuscular volume (MCV) is slightly increased5. Patients may also present with a history of perinatal edema and show pseudohyperkalemia due to the loss of potassium ions from RBCs stored at room temperature. Complications such as splenomegaly and cholelithiasis may occur due to increased trapping of RBCs in the spleen and elevated bilirubin levels, respectively. Furthermore, DHSt is frequently associated with iron overload, which may lead to hepatosiderosis6, diabetes mellitus, failure of the pituitary gland, and heart failure.
In 2012, DHSt was first identified as being related to alterations in the piezo-type mechanosensitive ion channel component 1 gene (PIEZO1; MIM* 611184)7. PIEZO1 encodes a mechanosensitive ion channel that translates a mechanic stimulus into calcium influx7. The identified missense variants showed the gain-of-function PIEZO1 phenotype, providing insight to help explain the increased permeability of cations in RBCs of patients with DHSt8. Dehydrated hereditary stomatocytosis 1 with or without pseudohyperkalemia and/or perinatal edema (DHS1: OMIM#194380) is a dominantly inherited red cell membrane disorder caused by gain-of-function mutations of PIEZO1 in most cases.
In 2015, another gene, the potassium intermediate/small conductance calcium-activated channel, subfamily N, member 4 gene (KCNN4; MIM*602754), encoding the calcium ion-dependent potassium selective Gardos channel, was identified as being associated with DHSt9. Dehydrated hereditary stomatocytosis-2 (DHS2, OMIM#616689) is caused by a heterozygous mutation in KCNN4.
We participated in clinical research on patients with hereditary red cell membrane disorders. For this purpose, we developed a target capture sequencing (TCS) system for precise and comprehensive diagnosis of suspected hereditary red cell membrane disorders in patients10. Previously, we reported the genetic background of hereditary spherocytosis, which can be distinguished by morphological characteristics of RBCs and osmotic abnormalities of RBC membranes10. Here, we report the genomic variants identified in Japanese patients with HSt, especially those related to DHSt.
Materials and methods
From April 2015 to June 2021, 20 Japanese families with suspected DHSt were enrolled in this study. This study was performed in accordance with the principles of the Declaration of Helsinki and approved by the ethics committee of the institution. After obtaining written informed consent, blood samples were collected from all patients. In addition, we collected detailed clinical information from the attending doctors, including family histories, clinical courses, and physical findings.
In most patients, when possible, we first performed additional red cell membrane functional examinations, including the acidified glycerol hemolysis time (AGLT) test, flow-cytometric osmotic fragility (FCM-OF) test, and eosin-5’-maleimide (EMA) binding test with a negative direct antiglobulin test as per previously reported methods10. DHSt was suspected when clinical findings such as hemolytic anemia with stomatocytosis and hemochromatosis not due to transfusion, positive family history, and past history of perinatal edema were observed, and laboratory tests revealed elevated MCV, increased % residual red cells (%RRC) in the FCM-OF test, and normal or increased EMA binding.
Genomic DNA was extracted from the patient’s peripheral blood using a QIAamp DNA extraction kit according to the manufacturer’s instructions (QIAGEN, Hilden, Germany). The Haloplex HS target enrichment system (Agilent Technologies, Santa Clara, CA, USA) was used for TCS. Using SureDesign (https://earray.chem.agilent.com/suredesign/home.htm), the target panel was designed to include all coding exons and intron‒exon boundaries of the 74 possible candidate genes10. Massive parallel sequencing was performed using the Illumina MiSeq platform (Illumina Inc., San Diego, CA, USA). Raw data were aligned to the human genome sequence GRCh37/hg19. The generated FASTQ files were imported into SureCall v3.5 (Agilent Technologies) for variant calling. Analysis following the filtering of the obtained variants was described previously10. The obtained variants were filtered according to the following strategy: (1) variant frequencies were below 1% in 1000G_EAS and ALL (1000 Genomes), HGDV, and dbSNP; (2) synonymous variants were excluded (nonsynonymous variants, variants associated with frameshift, insertion/deletion variants, and variants in splicing donor/acceptor sites were included); (3) variants with allele frequencies less than 30% of the total read depth were excluded; and (4) the CADD_phred was higher than 20 if obtained. Variant information obtained using wANNOVAR (http://wannovar.wglab.org/) was used for curation. Integrative Genomics Viewer (https://software.broadinstitute.org/software/igv/) was used for visual evaluation. All variants were evaluated using the guidelines proposed by the American College of Medical Genetics and Genomics and the Association for Molecular Pathology (ACMG/AMP)11.
The existence of the identified variants in the probands of the enrolled patients was confirmed using conventional PCR-Sanger sequencing. Genotyping for αLELY (low expression allele of SPTA1), UGT1A1, and Memphis I and II (SLC4A1) was also performed using conventional PCR-Sanger sequencing for all patients12–15.
Results
Among the 20 examined families, 12 were shown to have pathogenic or likely pathogenic variants of PIEZO1 or KCNN4 (diagnosis ratio of 60%) in accordance with the ACMG/AMP guidelines11. All the variants were confirmed by Sanger sequencing (Supplemental Figs. S1 and S2). The patients’ clinical and genetic information is summarized in Table 1.
Table 1.
Patient number | Patient 1 | Patient 2 | Son of patient 2 | Patient 3 | Patient 4 | Daugther of patient 4 | Mother of patient 4 | Patient 5 | Patient 6 | Patient 7 | Patient 8 | Patient 9 | Patient 10 | Patient 11 | Patient 12 | |
---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|
Gender | F | M | M | F | M | F | F | M | F | F | M | F | F | F | M | |
Age at examination | 47 y | 39 y | 8 m | 2 m | 68 y | 31 y | 89 y | 69 y | 19 y | 16 y | 28 y | 15 y | 68 y | 14 y | 8 y | |
Family history | − | + | + | − | + | + | + | + | + | − | + | − | NA | + | − | |
Clinical features | ||||||||||||||||
Splenomegaly | − | − | − | NA | NA | + | − | + | − | − | + | − | + | − | NA | |
Splenectomy | − | + | − | − | NA | NA | NA | − | − | − | − | − | − | + | − | |
Gallstone | NA | + | NA | − | NA | NA | NA | + | NA | NA | NA | − | + | NA | + | |
Previous blood transfusion | − | + | − | + | − | NA | + | + | − | + | + | + | + | + | + | |
Other findings | Diabetes mellitus, failure of the pituitary gland | Failure of the pituitary gland, Infertility, Heart failure, Cerebral infarction, Renal infarction | Fetal edema | Fetal edema | Diabetes mellitus | Extramedullary hematopoiesis | Diabetes mellitus | |||||||||
RBC morphology | ||||||||||||||||
Target cell | + | + | + | − | + | NA | NA | + | + | + | + | + | + | + | + | |
Stomatocyte | + | + | + | − | + | NA | NA | + | + | + | + | + | + | + | − | |
Acanthocyte | − | + | − | + | − | NA | NA | − | − | − | − | − | − | + | − | |
Elliptocyte | − | − | − | − | − | NA | NA | − | + | − | − | − | − | − | + | |
Poikilocyte | − | − | − | − | − | NA | NA | − | − | − | − | − | − | − | + | |
Schistocyte | − | − | + | − | − | NA | NA | − | − | + | − | − | − | − | − | |
Anisocyte | − | − | − | + | + | NA | NA | − | − | − | + | + | − | − | − | |
Polychromasia | − | − | − | + | − | NA | NA | − | − | − | − | − | − | − | − | |
Nucleated erythrocyte | − | + | − | − | − | NA | NA | − | − | − | − | − | − | − | − | |
Laboratory findings | ||||||||||||||||
Hb (g/dL) | [13 < : male, 12 < : female] | 12.3 | 8.4 | 10.0 | 10.5 | 14.6 | 12.7 | 6.9 | 13.5 | 15.6 | 11.0 | 10.1 | 9.7 | 8.5 | 10.7 | 10.1 |
MCV (fL) | [86–98] | 112.3 | 115.6 | 88.0 | 85.0 | 93.3 | 91.7 | 90.8 | 107.1 | 92.7 | 103.6 | 107.4 | 107.1 | 108.3 | 95.3 | 86.6 |
MCHC (%) | [31–35] | 34.6 | 34.4 | 36.0 | 34.9 | 37.6 | 37.0 | 39.0 | 35.8 | 36.0 | 38.2 | 34.8 | 33.0 | 34.4 | 37.7 | 35.6 |
Reticulocytes (‰) | [0.2–2.7] | 10.4 | 12.6 | 8.4 | 2.5 | 8.3 | 12.7 | 8.5 | 7.1 | 13.8 | 6.7 | 11.5 | 8.0 | 16.7 | 23.9 | 6.4 |
LDH (U/L) | [240–490] | 186 | 284 | 236 | 308 | 202 | 173 | 187 | 157 | 144 | 142 | 175 | 139 | 156 | 191 | 239 |
Haptoglobin (mg/dL) | [19–170] | 97.5 | 3.0 | NA | NA | 86.0 | NA | NA | 16.0 | 56.0 | 13.0 | 2.0 | 18.0 | <10 | NA | <10 |
Total bilirubin (mg/dL) | [0.2–1.2] | 1.7 | 37.9 | 0.5 | 0.6 | 2.1 | 1.8 | 1.4 | 3.4 | 1.3 | 6.9 | 7.3 | 2.9 | 6.6 | 6.5 | 5.3 |
Indirect Bilirubin (mg/dL) | [0.2–1.0] | 1.3 | 15.7 | 0.2 | NA | 1.8 | 1.2 | 0.5 | 2.6 | 0.9 | 6.7 | 6.8 | 2.8 | 5.4 | 6.3 | 4.8 |
Ferritin | [20–250: male, 10–80: female] | 1612 | 2537.3 | 277.3 | NA | 3895 | 172 | 489 | 649.5 | 108.7 | 305.1 | 1663 | NA | 2583.0 | NA | 87.1 |
Membrane examination | ||||||||||||||||
AGLT | [30 min < ] | NA | NA | NA | NA | NA | NA | NA | 30 min< | 30 min< | NA | NA | NA | NA | 30 min< | 30 min< |
EMA (% of control) | 114 | NA | NA | 89 | 103 | NA | NA | 113 | 97 | 112 | 111 | 113 | 112 | 99 | 93 | |
FCM-OF (% of control) | 193 | NA | NA | 219 | 122 | NA | NA | 132 | 143 | 112 | 113 | 186 | 179 | 142 | 125 | |
Identified variants | ||||||||||||||||
Genes | PIEZO1 | PIEZO1 | PIEZO1 | PIEZO1 | PIEZO1 | PIEZO1 | PIEZO1 | PIEZO1 | PIEZO1 | PIEZO1 | PIEZO1 | PIEZO1 | PIEZO1 | KCNN4 | KCNN4 | |
RefSeq ID | NM_001142864.3 | NM_001142864.3 | NM_001142864.3 | NM_001142864.3 | NM_001142864.3 | NM_001142864.3 | NM_001142864.3 | NM_001142864.3 | NM_001142864.3 | NM_001142864.3 | NM_001142864.3 | NM_001142864.3 | NM_001142864.3 | NM_002250.2 | NM_002250.2 | |
Affected exons | Exon 11 | Exon 14 | Exon 14 | Exon 32 | Exon 42 | Exon 42 | Exon 42 | Exon 48 | Exon 51 | Exon 51 | Exon 51 | Exon 51 | Exon 51 | Exon 5 | Exon 7 | |
cDNA change | c.1281_1282ins[GG;1257_1281] | c.1792G > A | c.1792G > A | c.4370 C > T | c.6041 C > T | c.6041 C > T | c.6041 C > T | c.6968 A > C | c.7463 G > A | c.7483_7488dup | c.7483_7488dup | c.7483_7488dup | c.7483_7488dup | c.835 G > A | c.1055 G > A | |
Protein change | p.A427_L428insGMDQSYVCA | p.V598M | p.V598M | p.A1457V | p.T2014I | p.T2014I | p.T2014I | p.K2323T | p.R2488Q | p.L2495_E2496dup | p.L2495_E2496dup | p.L2495_E2496dup | p.L2495_E2496dup | p.A279T | p.R352H | |
Type | Insertion | Missense | Missense | Missense | Missense | Missense | Missense | Missense | Missense | Duplication | Duplication | Duplication | Duplication | Missense | Missense | |
Status | Hetero | Hetero | Hetero | Hetero | Hetero | Hetero | Hetero | Hetero | Hetero | Hetero | Hetero | Hetero | Hetero | Hetero | Hetero | |
dbSNP ID | − | − | − | rs532444891 | − | − | − | − | rs749288233 | rs1064793545 | rs1064793546 | rs1064793547 | rs1064793548 | − | rs774455945 | |
SIFT (score) | NA | 0.004 | 0.004 | 0.019 | 0.017 | 0.017 | 0.017 | 0.083 | 0 | NA | NA | NA | NA | 0.237 | 0 | |
Polyphen2 (score) | NA | 1 | 1 | 0.06 | 0.047 | 0.047 | 0.047 | 0.43 | 0.999 | NA | NA | NA | NA | 0.999 | 0.999 | |
CADD_phred | NA | 31 | 31 | 24.3 | 28.6 | 28.6 | 28.6 | 26.7 | 35 | NA | NA | NA | NA | 26 | 35 | |
Clinvar | Not reported | Pathogenic/Likely pathogenic | Pathogenic/Likely pathogenic | Not reported | Not reported | Not reported | Not reported | Not reported | Not reported | Not reported | Not reported | Not reported | Not reported | Not reported | Pathogenic | |
ACMG criteria | PM2, PM4, PM6, PP4 | PS1, PS3, PM2, PP3, PP4 | PS1, PS3, PM2, PP3, PP4 | PM2, PM6, PP3, PP4 | PS4, PM2, PP3, PP4 | PS4, PM2, PP3, PP4 | PS4, PM2, PP3, PP4 | PS4, PM2, PP3, PP4 | PS1,PS3, PM2, PP1, PP3, PP4 | PS1, PM2, PM4, PP1, PP3, PP4 | PS1, PM2, PM4, PP1, PP3, PP4 | PS1, PM2, PM4, PP1, PP3, PP4 | PS1, PM2, PM4, PP1, PP3, PP4 | PS1, PM5, PP2, PP3, PP4 | PS1, PS3, PM6, PP3, PP4 | |
Interpretation | Likely pathogenic | Pathogenic | Pathogenic | Likely pathogenic | Likely pathogenic | Likely pathogenic | Likely pathogenic | Likely pathogenic | Pathogenic | Pathogenic | Pathogenic | Pathogenic | Pathogenic | Likely pathogenic | Pathogenic | |
Reported/novel | Novel | Reported | Reported | Novel | Reported | Reported | Reported | Novel | Reported | Reported | Reported | Reported | Reported | Novel | Reported | |
Status of other polymorphic variants | ||||||||||||||||
αLELY variants (c.5572 C > G) | − | Hetero | Homo | Hetero | − | NA | NA | − | − | − | Homo | Hetero | − | Hetero | − | |
αLELY variants (c.6531–12 C > T) | − | Hetero | Homo | Hetero | − | NA | NA | − | − | − | Homo | Hetero | − | Hetero | − | |
UGT1A1 variants (*6) | − | − | − | − | − | NA | NA | − | − | − | − | Hetero | − | − | − | |
UGT1A1 variants (*28) | − | − | − | Hetero | − | NA | NA | − | − | − | − | − | Hetero | − | Homo | |
Memphis I (SLC4A1: c.166 A > G) | − | − | − | − | − | NA | NA | Hetero | Homo | Hetero | − | − | Hetero | − | − | |
Memphis II (SLC4A1: c.2561 C > T) | − | − | − | − | − | NA | NA | − | Hetero | − | − | − | − | − | Hetero |
Pt patient, F female, M male, y years, m months, NA not available, [ ] normal range, _ underbar indicates abnormal finding.
Ten families showed seven types of heterozygous PIEZO1 variants (one insertion, five missense, and one in-frame duplication). Among them, two variants (p.A427_L428insGMDQSYVCA and p.K2323T) were novel and not included in the databases of ClinVar (https://www.ncbi.nlm.nih.gov/clinvar/) and gnomAD (http://www.gnomad-sg.org/). The p.A1457V variant identified in Patient 3 was included in the dbSNP database (https://www.ncbi.nlm.nih.gov/snp/) with ID = rs532444891. The minor allele frequency in the Japanese population was 0.00155, indicating that it is very rare in the general population. It is also identified in the Human Genetic Variation Database (https://www.hgvd.genome.med.kyoto-u.ac.jp/index.html), the variation database of the Japanese population, with a very low incidence16. Because no reports suggesting the p.A1457V variant as the disease-causing variant exists, we first report this as a novel disease-causing variant in this study.
Four variants (p.V598M, p.T2014I, p.R2488Q, p.L2495_E2496dup) were previously reported6,8,17–19. The p.V598M and p.T2014I were segregated in the families of Patients 2 and 4, respectively. The p.R2488Q variant is often reported as a disease-causing variant by many researchers and is registered in the dbSNP database with ID = rs7492882336,18. However, this has not been reported in ClinVar.
Heterozygous KCNN4 variants were identified in two families. The variant p.R352H has been previously reported9,20. In KCNN4, p.R352H erythrocytes, preliminary data also suggested that altered channel activation kinetics led to erythrocyte dehydration9. Thus, we first report p.A279T as a novel disease-causing variant in this study.
Discussion
In this study, 12 Japanese families suspected of having DHSt were genetically diagnosed with causative variants related to DHSt. Among them, 10 families (83%) had PIEZO1 variants. Most PIEZO1 variants were first identified in this study in Japanese patients.
Four of the ten families (40%) shared the recurrent variant (p.L2495_E2496dup). This variant was previously reported in a Japanese family associated with hereditary high phosphatidylcholine, hemolytic anemia, and hemochromatosis-induced diabetes mellitus21. The p.L2495_E2496dup is located at the junction of the α2 and α3 intracellular COOH-terminal domains, which is predicted to be involved in pore formation of the ion channel22. This variant causes changes in the hydropathicity profile in the regions where it is located, suggesting possible structural change23. Picard et al. described the clinical, hematologic and genetic characteristics of a retrospective series of 126 subjects from 64 families with DHSt20. Among them, 19 families showed PIEZO1 variants, and 10 of 19 families (53%) had p.L2495_E2496dup. Although this variant has been reported frequently worldwide8,18,20–24, it is not included in ClinVar.
The other recurrent PIEZO1 variants (p.V598M, p.T2014I, p.R2488Q) were first identified in the Japanese population, and two of them (p.V598M and p.T2014I) were confirmed to be segregated in the families; however, it is still unclear whether they came from the same founder. Further analyses would be needed.
PIEZO1 encodes a mechanosensitive ion channel that translates a mechanical stimulus into calcium influx and is related to DHS1, which is a dominantly inherited red cell membrane disorder. No PIEZO1 variant associated with loss-of-function (LoF) was found, and the pLI score of PIEZO1 was “0” in gnomAD. Therefore, PIEZO1 is tolerant to LoF, and the gain-of-function mechanism is considered the mechanism rather than LoF, as mentioned above. Indeed, functional studies of DHS1-associated PIEZO1 variants exhibited a partial gain-of-function phenotype, with many mutants demonstrating delayed channel inactivation8.
Although patients with DHSt often have fully or partially compensated hemolysis with few symptoms, iron overload is a universal finding, even in patients without transfusions or with only sporadic blood transfusions, and this causes progressive organ damage25. All patients with PIEZO1 variations in this study showed elevated levels of ferritin, except a young 8-year-old patient. It was previously reported that ferritin levels at diagnosis were correlated with the age of patients20. The ferritin level of our patients also reflects this trend. Ma et al. showed that constitutive or macrophage expression of a gain-of-function Piezo1 allele in mice disrupts levels of the iron regulator hepcidin and causes iron overload26. They further show that PIEZO1 is a key regulator of macrophage phagocytic activity and subsequent erythrocyte turnover26. Their discovery may be a new seed to treat hyperferritinemia in DHS1 patients.
In contrast, KCNN4 encodes a Ca2 +-activated K+ channel. Although KCNN4 has been reported to be associated with some diseases, including inflammatory bowel disease, Crohn’s disease, and Alzheimer’s disease, germline pathogenic variants in KCNN4 have only been shown to be associated with DHS227–30. To date, ten KCNN4 variants (p.V222L, p.V282M, p.V282E, p.S314P, p.A322V, p.H328R, p.H340R, p.H340N, p.R352H, p.V369_Lys373del) have been reported in patients with DHS2 9,18,20,24,31,32. Among them, p.R352H identified in patient 12 in our study has been recurrently identified20. The novel p.A279T, first identified in our study, is located near p.V282M and p.V282E. The 231-289th amino acids of KCNN4 form a two-pore potassium channel domain, and the 304-377th amino acids form a calmodulin-binding domain24,33. These regions are highly conserved and have an important role in KCNN4.
In patients’ RBCs that carry KCNN4 variations, the channel conductance is considered to be increased. Despite leading to a more active channel, the gain-of-function in KCNN4 is not systematically linked to RBC dehydration, and routine hematological tests have failed to clearly diagnose DHSt20. Rivera et al. analyzed the characteristics of two de novo KCNN4 variants (p.V222L and p.H340N)32. However, the data did not correlate with RBC dehydration caused by KCNN4 gain-of-function, raising the question of whether this pathology should be classified as a DHSt. Moreover, it emphasized the difficulty of diagnosing altered RBC permeability facing KCNN4 variants and the great variability in RBC phenotypes associated with the KCNN4 gain-of-function mechanism32.
It is important to distinguish DHSt from hereditary spherocytosis (HS). Splenectomy should be avoided in patients with DHSt because it seems to aggravate the risk of thrombosis25. Especially in DHS1, postsplenectomy thrombotic events are called a major risk20. In our study, thrombotic events were frequent in splenectomized Patient 2 with DHS1. On the other hand, no thrombotic events occurred in splenectomized Patient 14 with DHS2. Picard et al. also reported that none of the four DHS2 splenectomized patients experienced thrombosis20. To date, the number of reported cases of DHS2 is lower than that for DHS1. However, we should not allow definitive conclusions to be drawn on this issue. Further evaluation of case information is needed, and patients splenectomized before being genetically diagnosed should be carefully monitored for a long time.
In this study, two patients (Patient 2 and Patient 3) with DHS1 had a history of fetal edema. A previous report showed that perinatal edema was observed in DHS1 but not in DHS2 patients20. The severity of perinatal edema is heterogeneous, so careful pregnancy follow-up with ultrasound monitoring is needed in both genotypes34.
We performed functional examinations of the RBC membrane. It is known that the EMA test and FCM-OF test are good combinations for the diagnosis of HS35. Recently, the results of these tests for DHSt patients were reported. Zama et al. showed that the result of the EMA test of DHSt patients is normal or increased36. Our data are consistent with their results.
In DHSt, a dysfunctional membrane protein eventually leads to potassium leakage out of the RBCs that exceeds the inward flux of sodium, and the accompanying net loss of water results in RBC dehydration, shrinkage, fragility, and hemolysis25. The results of the FCM-OF test in our patients reflect this pathology.
Although we genotyped known polymorphisms of αLELY, UGT1A1, and Memphis I and II, we could not identify any correlation between clinical findings and severity.
Recently, ABCB6 has been reported to be responsible for familial pseudohyperkalemia, a disorder related to DHSt37. However, this gene was not included in the gene panel used in this study. Therefore, it is the subject of our future project to investigate whether ABCB6 is related to patients with DHSt without disease-causing variants of PIEZO1 and KCNN4.
In conclusion, here, we first report the hematological, clinical, and genetic features of DHSt in Japan. Comprehensive genomic analysis is a powerful tool for understanding the genetic cause of congenital hemolytic anemia and would be beneficial for the molecular diagnosis and clinical management of DHSt.
Supplementary information
Acknowledgements
We appreciate the cooperation of the patients and their families in this study.
Author contributions
H.K. conceptualized, designed, and supervised the study. E.N. and K.S.Y. wrote the first draft of the manuscript. K.S.Y., H.O., T.A., and T.U. discussed the results. K.S.Y., T.A., K.A., and H.Y. provided the analytical data. K.W., M.M., F.N., M.K., K.T., J.A., Ta.Y., M.H., Y.K., S.N-A., N.K., Y.M., and E.I. reviewed medical records and collected patients’ clinical data. S.O., H.Y., I.M., and To.Y. critically reviewed and revised the manuscript. All authors approved the final manuscript, acknowledged the progress of the work, and agreed to be accountable for all aspects of this study.
Funding
This work was supported in part by MHLW, Program Grant Number JPMH22FC0201.
Competing interests
The authors declare that this research was conducted in the absence of any commercial or financial relationships that could be construed as potential competing interests.
Footnotes
Publisher’s note Springer Nature remains neutral with regard to jurisdictional claims in published maps and institutional affiliations.
Supplementary information
The online version contains supplementary material available at 10.1038/s41439-023-00235-y.
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