ABSTRACT
Chronic granulomatous disease (CGD) is a rare inborn error of immunity caused by defects in components of the NADPH oxidase that impair the elimination of infectious microorganisms. Individuals affected by CGD become more susceptible to recurrent and severe infections. Six male patients from Southern Brazil were clinically and genetically analyzed through data collection from medical records and massively parallel sequencing by a panel for the following genes: CYBB, CYBA, NCF1, NCF2, and NCF4 and whole genome sequencing analysis. The gene‐scan technique was used to identify the GT deletion in NCF1. The most common affected organs were the lungs, skin, and lymph nodes; the most common clinical manifestations were recurrent pneumonia, cutaneous involvement, lymph node manifestations, and failure to thrive. Four patients were identified with variants in CYBB: p.Cys257Ser, which is novel; p.Cys257Arg; p.Arg157Ter; and p.Trp483Ter. Both missense variants damage the loop E in gp91phox, a region with functional and structural relevance for the protein. Functional studies show the expression absence of the protein in patients with the variant p.Arg157Ter. The variant p.Trp483Ter is predicted to undergo nonsense mRNA‐mediated decay. The GT deletion in NCF1 was identified in two siblings from consanguineous parents: one homozygous and the other apparently heterozygous for the deletion, both with a clinical diagnosis of CGD. Variant analysis in this gene is particularly challenging due to the presence of pseudogenes. A hypothesis for this genotypic discrepancy is the occurrence of a second type of pseudogene lacking the GT deletion, which may have arisen in one parent and been transmitted to the patient observed as heterozygous, being misinterpreted in the analyses as a functional NCF1 sequence.
Keywords: chronic granulomatous disease, genetic diagnosis of immunodeficiencies, inborn errors of immunity, NADPH oxidase, respiratory burst
Chronic granulomatous disease is a rare inborn error of immunity characterized by the deficient production of reactive oxygen species in phagocytes, which are used in pathogen elimination. Affected individuals become susceptible to severe infections. This study intended to genetically diagnose a cohort of Brazilian patients with suspected of the disease.

1. Introduction
Chronic granulomatous disease (CGD) is a rare inborn error of immunity (IEI), with an overall estimated incidence of 1 in every 250,000 live births, caused by defects in the components of nicotinamide adenine dinucleotide phosphate oxidase complex (NADPH oxidase). The complex is present in phagocytic cells and is responsible for producing reactive oxygen species (ROS), which are essential for the elimination of pathogens. The loss or decrease in ROS production due to defects in the NADPH oxidase compromises its microbicidal function [1, 2]. Affected individuals become more susceptible to bacterial and fungal infections, inflammatory complications, autoimmunity, and malignancies and are commonly infected by a narrow spectrum of pathogens, typically catalase producers. The most common pathogens reported in North America and Europe infecting patients with CGD include Staphylococcus aureus and species of the genera Serratia, Nocardia, Burkholderia, Salmonella, Candida, and Aspergillus, Bacillus Calmette‐Guérin (BCG), and Mycobacterium tuberculosis are also relevant pathogens in developing countries, where tuberculosis is endemic and/or BCG vaccine is routinely given, as in Brazil [3, 4, 5, 6].
The five protein components of the NADPH oxidase are encoded by five genes. Thus, a genetic defect in any of the genes disrupts the corresponding protein and impairs the overall function of the complex, leading to the main forms of CGD: the X‐linked recessive form (X‐CGD), caused by defects in CYBB gene (gp91phox protein), and the autosomal recessive forms (AR‐CGD), caused by defects in the following genes: NCF1 (p47phox), NCF2 (p67phox), and NCF4 (p40phox), and CYBA (p22phox) [7, 8].
Diagnosis of CGD is based on the identification of clinical presentations along with assessment of NADPH oxidase activity through measurement of ROS production, followed by genetic testing, which is used to confirm the exact affected gene. The nitroblue tetrazolium (NBT) and dihydrorhodamine 123 (DHR) tests are widely used to diagnose the disease. However, these tests do not determine the specific genetic form of CGD and may yield false‐positive results related to other conditions where NADPH oxidase activity is also impaired. In this context, genetic testing becomes essential not only for genetic counseling and confirmation of the specific type of CGD but also for the identification and referral of individuals for hematopoietic stem cell transplantation (HSCT), the most effective curative therapy for patients with CGD [1, 5, 9, 10]. In particular, diagnosing CGD1 (involving the NCF1 gene) can be challenging when only based on traditional sequencing methods because NCF1 has two nonfunctional pseudogenes (ΨNCF1), which share 99% sequence homology with the functional gene. One of the few distinguishing features among them is a GT deletion (ΔGT) at the beginning of exon 2, naturally present in ΨNCF1, which can also arise in functional NCF1 alleles, resulting in the frameshift variant p.Tyr26HisfsTer [11].
Despite numerous advances in recent decades, the diagnostic process for IEIs, including CGD, remains challenging. Many patients still undergo a diagnostic odyssey without reaching a definitive conclusion. This has a significant impact on their quality of life, delaying both preventive care and potential treatments [12, 13].
Given the clinical relevance of CGD, the scarcity of studies correlating clinical and genetic aspects of the disease, and the need to establish efficient genetic and molecular diagnostic protocols in a genetically diverse population, we characterized a cohort of Brazilian patients through clinical and genomic analyses. We identified the causative genes and variants, performed structural molecular analyses, and described for the first time the p.Cys257Ser variant in the CYBB gene and proposed the hypothesis of genotype resulting from recombination events involving NCF1 and its pseudogenes.
2. Materials and Methods
This study was approved by the Research Ethics Committee of the Hospital de Clínicas de Porto Alegre (CEP‐HCPA FIPE 2022‐0206). Written informed consent was obtained from all participants or their legal guardians. Six male patients from Southern Brazil with clinical suspicion of CGD had revised their clinical information from medical records and blood samples collected in EDTA vacuum tubes; genomic DNA was extracted using the Easy‐DNA Purification Kit (Thermo Fisher) and quantified using the NanoDrop 1000 spectrophotometer (Thermo Fisher). A custom gene panel was designed using the Ion AmpliSeq Designer software (Thermo Fisher) and included the following genes: CYBB, CYBA, NCF1, NCF2, and NCF4 (Table 1). Sequencing was performed on the Ion Torrent PGM platform (Thermo Fisher) with a minimum coverage of 150×. Data processing was conducted using Torrent Suite v5.0.5, and the GRCh37.p13 assembly was used as the reference genome. Whole genome sequencing was performed on the MGI PCR‐free platform and processed with the Sentieon Germline Pipeline v1.0, using the GRCh38 assembly as the reference genome, with a mean coverage of 30×. The gene‐scan method was employed according to Dekker et al. [11] in order to identify the ΔGT and distinguish the NCF1 gene from its pseudogenes (ΨNCF1). The fragments were separated by capillary electrophoresis using the ABI 3500 Genetic Analyzer (Applied Biosystems), with the GS500(‐250)LIZ size standard. Electropherogram analysis and peak height identification for NCF1 and ΨNCF1 were performed using Microsatellite Analysis software on the Thermo Fisher Cloud platform. Variant analysis was performed using the following tools: Variant Effect Predictor [14], Ion Reporter (Thermo Fisher), and Integrative Genomics Viewer [15]. Variant classification followed the criteria of the American College of Medical Genetics and Genomics (ACMG) [16] and the Clinical Genome Resource [17].
TABLE 1.
Genes involved with chronic granulomatous disease.
| Cell location | Gene | Protein | Omim | Cytogenetic location | Inheritance | Type of disease |
|---|---|---|---|---|---|---|
| Cell/phagosome membrane | CYBB | gp91phox | 300481 | Xp21.1‐p11.4 | X‐linked | X‐CGD |
| CYBA | p22phox | 608508 | 16q24.2 | Autosomal recessive | CGD4 | |
| Cytoplasm | NCF1 | p47phox | 608512 | 7q11.23 | CGD1 | |
| NCF2 | p67phox | 608515 | 1q25.3 | CGD2 | ||
| NCF4 | p40phox | 601488 | 22q12.3 | CGD3 |
The amino acid sequences of gp91phox from 10 different species were retrieved from the Ensembl database [18] to perform a multiple sequence alignment, which was carried out using the MUSCLE software [19]. The three‐dimensional structure of the NADPH oxidase was obtained from the Research Collaboratory for Structural Bioinformatics Protein Data Bank (RCSB PDB) under the identifier 8WEJ [20]. Structural modeling and image generation of the p.Cys257Arg and p.Cys257Ser variants were conducted using PyMOL software [21]. Both wild‐type and mutant NADPH oxidase structures were submitted to structural repair using FoldX v5.0 [22]. Gibbs free energy (ΔG) values were calculated for the overall structure and for interchain interactions in the wild‐type (ΔGwt) and mutant (ΔGmut) NADPH oxidase complexes; differences in ΔΔG (ΔGmut − ΔGwt) greater than +1.6 kcal/mol were considered indicative of significant alterations to the complex [23, 24].
3. Results
Six male patients were analyzed. Clinical and biochemical information are shown in Table 2, and the genetic information is shown in Table 3. The mean age at symptom onset was approximately 18 months (6 days—6 years). The mean age at the clinical diagnosis was 7.5 years (n = 5; 3 months—25 years). The mean age at the genetic diagnosis was 13.1 years (n = 6; 1–39 years). The most common manifestations involved recurrent infections mainly on the lungs, observed in all patients, including bronchopneumonia, bronchiolitis, pneumocystis pneumonia, and recurrent pneumonia, and on the skin, observed in 85% of the patients (n = 4), including allergic dermatosis, seborrheic dermatitis, infectious pyoderma, and other cutaneous infections (Figure 1). The lymph nodes were also commonly affected, with manifestations occurring in 85% of the patients (n = 4), including lymphadenitis, lymphadenomegaly, and recurrent lymphadenopathy.
TABLE 2.
Clinical and biochemical information of patients P1–P6.
| Patients (n = 6) | P1 | P2 | P3 | P4 | P5 | P6 |
|---|---|---|---|---|---|---|
| Sex | Male | Male | Male | Male | Male | Male |
| CGD type | X‐CGD | X‐CGD | X‐CGD | X‐CGD | DCG1 | DGC1 |
| Age of onset | 6y | 4m | 6d | 2m | 8m | 1y 9m |
| Age of clinical diagnosis | 25y | 4y | 6m | 3m | NA | 8y |
| Age of genetic diagnosis | 39y | 11y | 5y | 1y 1m | 6y | 17y |
| Consanguinity | NA | No | No | NA | Yes | Yes |
| Frequent infection | Yes | Yes | Yes | Yes | Yes | Yes |
| First clinical manifestation | Cutaneous lesions | Recurrent pneumonia | Infectious pyoderma | Bronchiolitis | Sepsis | Recurrent pneumonia |
| Granuloma formation | Yes | NA | Yes | Yes | Yes | NA |
| Other clinical manifestations during follow‐up |
BCG infection Bronchopneumonia Chronic lymphadenitis Disseminated fungi infection Lung lesions Lymphadenomegaly Recurrent allergic dermatosis Sepsis |
Auricular abscess Bronchopneumonia Failure to thrive Lymphadenomegaly Pneumocystis pneumonia Sepsis |
Aspergillosis Disseminated BCG infection Bronchiolitis Failure to thrive Hemorrhagic cystitis Lymphadenomegaly Osteomyelitis Recurrent pneumonia Recurrent cutaneous infections and suppurative lesions Sepsis |
Anemia Diarrhea Chronic lymphadenitis Lymphadenomegaly Low Birth Weight Recurrent lymphadenopathy |
Chronic rhinitis Failure to thrive Recurrent cutaneous infections and lesions Respiratory infection Seborrheic dermatitis |
Bronchopneumonia Failure to thrive Recurrent aphthous ulcers Recurrent otitis Allergic dermatosis |
| Detected pathogens |
Inonotus tropicalis Pseudomonas aeruginosa |
Pneumocystis jirovecii |
Aspergillus fumigatus Cytomegalovirus Klebsiella pneumoniae P. aeruginosa |
NA | NA | Cytomegalovirus |
|
IgM (RV) |
118 mg/dL (50–320) |
84 mg/dL (19–146) |
106 mg/dL (3m–1y: 17–150) |
NA | NA | NA |
|
IgG (RV) |
2569 mg/d a (700–1600) |
741 mg/dL (453–916) |
1178 mg/dL a (30d–1y: 203–948) |
NA |
1281 mg/dL (2–80y: 540–1822) |
1318 mg/dL (2–80y: 540–1822) |
|
IgA (RV) |
888 mg/dL a (100–490) |
166 mg/dL a (20–100) |
264 mg/dL a (3m–1y: 8–91) |
NA |
198 mg/dL (1–11y: 21–291) |
664 mg/dL a (34–305) |
|
IgE (RV) |
286 uL/mL a (≤ 100) |
25 UI/mL b (10–15y: < 200) |
NA | NA |
1483 UI/mL a (6–9y: < 90) |
NA |
|
C‐reactive protein (RV) |
81.60 mg/L a (≤ 10.0) |
0.5 mg/dL (< 5.0) |
118.7 mg/dL a (< 5.0) |
NA |
2.1 mg/dL (< 5.0) |
10.8 mg/dL a (< 5.0) |
|
CD3+ (RV) |
920.4 uL (19–44y: 844–1943) |
3615.6 uL (2–6y: 1515–3701) |
5071 uL a (6–12m: 2153–5004) |
NA | NA |
1333 uL (1045–2760) |
|
CD3+/CD4+ (RV) |
542.8 uL (19–44y: 476–1136) |
2449.7 uL a (2–6y: 618–1348) |
3538 uL a (6–12m: 1360–3066) |
NA | NA |
61 uL (550–1680) |
|
CD3+/CD8+ (RV) |
220.7 uL b (19–44y: 248–724) |
828.7 uL (2–6y: 453–1700) |
1250 uL (6–12m: 560–1803) |
NA | NA |
599 uL (285–1175) |
|
CD19+ (RV) |
88.5 uL b (19–44y: 138–544) |
926.1 uL (2–6y: 931–1283) |
1453 uL (6–12m: 811–1792) |
NA | NA |
427 uL (160–600) |
|
CD3‐/CD16+56+ (RV) |
171.1 uL (19–44y: 134–545) |
754.4 uL a (2–6y: 135–601) |
726 uL (6–12m: 164–801) |
NA | NA |
122 uL (110–910) |
|
DHR‐Assay Ref. 1 |
NS: 1.80 (C:0.70) WS: 38.50 (C:95.30) |
NS: 0.20 (C:0.30) WS: 49.30 (C:84.30) |
NS: 0.10 (C:0.40) WS: 0.10 (C:99.40) |
NS: 0.10 (C:0.80) WS: 0.30 (C:99.30) |
NA |
NS: 0.10 (C:0.20) WS: 50.70 (C:89.70) |
|
NBT‐Assay Ref. 2 |
NS: 1% WS: 5% |
NS: 1% WS: 2% |
NA | NA | NA |
NS: 2% WS: 3% |
| HSCT | NA | NA | BMT | NA | NA | BMT |
| Current age | 39y | 11y | 5y | 1y10m | 6y | 17y |
Note: Ref. 1: NS < 5%, WS > 80%; Ref. 2: NS: 0%–28%, WS: 61%–100%.
Abbreviations: BMT, bone marrow transplantation; C, control values obtained from clinical laboratory tests; d, days; DHR, dihydrorhodamine‐123; HSCT, hematopoietic stem cell transplantation; m, months; NA, not analyzed; NBT, nitroblue tetrazolium; NS, no stimulation; RV, reference values obtained from clinical laboratory tests; WS, with stimulation; y, years.
Values higher than RV.
Values lower than RV.
TABLE 3.
Genetic information of patients P1–P6.
| Patients (n = 6) | P1 | P2 | P3 | P4 | P5 | P6 |
|---|---|---|---|---|---|---|
| Affected gene | CYBB | CYBB | CYBB | CYBB | NCF1 | NCF1 |
| Protein | gp91phox | gp91phox | gp91phox | gp91phox | p47phox | p47phox |
| Variant type | Missense | Missense | Nonsense | Nonsense | Frameshift | Frameshift |
| Nucleotide (c.) | c.769T>A | c.769T>C | c.469C>T | c.1449G>A | c.75_76delGT | c.75_76delGT |
| Amino acid (p.) | p.Cys257Ser | p.Cys257Arg | p.Arg157Ter | p.Trp483Ter | p.Tyr26HisfsTer | p.Tyr26HisfsTer |
| Location | Exon 7 | Exon 7 | Exon 5 | Exon 11 | Exon 2 | Exon 2 |
| Zygosis | Hemizygous | Hemizygous | Hemizygous | Hemizygous | Heterozygous | Homozygous |
| ACMG criteria | PM1 PM2 PM3 PP3 | PM1 PM2 PM3 PP3 | PVS1 PM3 PP3 | PVS1 PM3 PP3 | PVS1 PM1 PM2 PM4 PP3 | PVS1 PM1 PM2 PM4 PP3 |
| Classification | Likely pathogenic | Likely pathogenic | Pathogenic | Pathogenic | Pathogenic | Pathogenic |
| NCF1/ΨNCF1 peak heights | 1787/4070 | 4445/9735 | 13,947/29,494 | 4252/8980 | Abs./12,569 | 2222/15,754 |
| NCF1/ΨNCF1 ratio | 2:4 (0.44) | 2:4 (0.46) | 2:4 (0.47) | 2:4 (0.47) | 0:6 (0) | 1:5 (0.14) |
Abbreviation: ACMG, American College of Medical Genetics and Genomics.
FIGURE 1.

Most common clinical presentations observed in patients P1–P6.
Four patients were identified with alterations in the CYBB gene with four different variants, one of which (p.Cys257Ser) is novel in the literature (P1; Table 3). Multiple sequence alignment across 10 different species demonstrated that the cysteine residue at position 257, where both missense variants in gp91phox occur (p.Cys257Ser and p.Cys257Arg), is highly conserved (Figure 2a). The amino acid substitutions caused by these variants in gp91phox are illustrated in Figure 2b; structural analyses of the NADPH complex for the missense variants revealed significant changes in binding affinity energy (ΔΔG) between chains B (gp91phox) and E (a small GTPase) in the p.Cys257Ser variant, as well as in the overall structural stability (ΔΔGtotal) of both variants (Table 4).
FIGURE 2.

Three‐dimensional modeling of NADPH oxidase and multiple sequence alignment for a cysteine residue in gp91phox across 10 different species. (a) Multiple sequence alignment of the gp91phox amino acid sequence across 10 different species using MUSCLE v3.8, revealing the high conservation of the Cys257 residue (indicated by the arrow). (b) Structural representation of NADPH oxidase, showing the wild‐type cysteine residue in the position 257 in gp91phox subunit and the two missense variants identified in this study (highlighted in magenta).
TABLE 4.
ΔΔG (kcal/mol) values of the two missense variants identified in CYBB gene found in patients P1 and P2.
| Interaction energy | (ΔΔG = ΔGmut − ΔGwt) | ||
|---|---|---|---|
| Chains | Wild type | p.Cys257Ser | p.Cys257Arg |
| AB | −35.38 | 0 | 0 |
| BC | 0 | 0 | 0 |
| BD | −30.82 | 0.55 | 0.64 |
| BE | −16.58 | 2.43 | 0.15 |
| BH | −2.47 | 1.23 | 0.03 |
| BL | −0.49 | −0.75 | −0.79 |
| Gibbs free energy | (ΔΔGtotal = ΔGmut − ΔGwt) | |
|---|---|---|
| Wild type | −61.41 | — |
| p.Cys257Ser | −54.75 | 6.66 |
| p.Cys257Arg | −55.18 | 6.23 |
Note: Values greater than +1.6 kcal/mol suggest affinity loss between the chains of the NADPH oxidase and loss of stability in the overall structure.
The gene‐scan results are shown in Figure 3. The analysis revealed the p.Tyr26HisfsTer (ΔGT) variant in NCF1 in homozygous form in patient P5 and in heterozygous form in patient P6, possibly due to a ΨNCF1 lacking the ΔGT, which may have arisen from unequal recombination event (Figure 4). After whole genome sequencing analysis performed in P6, no additional variants in CGD‐associated genes were identified.
FIGURE 3.

Fragment analysis by the gene‐scan technique of patients P1–P6. The blue peaks on the left correspond to ΨNCF1 (196 bp), and the blue peaks on the right correspond to NCF1 (198 bp). P1–P4 had ratios close to 0.50, reflecting a 2:4 proportion of NCF1/ΨNCF1, considered normal values in individuals without ΔGT in the functional NCF1 gene; P5 had a ratio of zero, indicating homozygosity for the ΔGT in functional NCF1 gene (arrow indicates absence of functional NCF1 alleles). P6 had a ratio of 0.14 and a 1:5 proportion, consistent with a heterozygous ΔGT in one functional NCF1 allele.
FIGURE 4.

A possible recombination event between NCF1 and ΨNCF1 as a hypothesis for the observed heterozygous ΔGT profile in P6. (a) Both parents of P5 and P6 are likely heterozygous for the ΔGT, as supported by the homozygous genotype observed in P5. (b) An unequal recombination event, previously described by Hayrapetyan et al. [25], may have occurred in one parent, in which NCF1 and ΨNCF1 exchanged their first segment, leading to the insertion of the ΔGT into functional NCF1 alleles and, simultaneously, the insertion of the normal GTGT sequence into ΨNCF1. (c) A possible explanation for the genotype of P6 is the inheritance of a ΨNCF1 carrying the GTGT sequence from one parent, which could confound the analyses by being interpreted as a functional NCF1 sequence. Adapted from [25].
4. Discussion
This is the first genetic study conducted in a cohort with CGD patients from Southern Brazil. Previous studies in Brazil have been mostly concentrated in the Southeast region, which harbors one of the most admixed populations worldwide. In contrast, the population of Southern Brazil is characterized by a predominantly European ancestry, accounting for approximately 80% of its genetic background [26, 27, 28, 29, 30, 31, 32, 33, 34, 35, 36].
In general, lymphadenitis is the first clinical manifestation observed in patients with CGD. However, in the present study, the first clinical manifestations involved pulmonary infections in 50% of the patients (n = 3), cutaneous infections in 33% (n = 2), and sepsis in 16% (n = 1). Pneumonia is the most common clinical manifestation observed in CGD, affecting 70%–80% of affected patients, and all the patients analyzed were affected by recurrent pneumonia. In this cohort, the organs most frequently affected by infections were the lungs, skin, and lymph nodes, consistent with the literature [8, 10, 37, 38, 39, 40, 41, 42]. Granuloma formation is a typical feature of CGD, which occurs due to excessive inflammatory response, and it was registered in 66.67% (n = 4) of the analyzed patients. Genetic variation among innate immunity molecules may contribute to differences in the individual inflammatory response and their severity, modifying the risk of developing inflammatory complications in patients with CGD [6].
Variants in CYBB account for more than 60% of all reported CGD cases, representing the leading cause of the disease and predominantly affecting males. Variants in NCF1 contribute to approximately 20% of cases and represent the most frequent cause of AR‐CGD; variants in CYBA and NCF2 are responsible for about 14% of cases [2]. Among the patients analyzed, 66.67% (n = 4) were diagnosed with X‐CGD caused by CYBB variants, and 22.23% (n = 2) with AR‐CGD due to the ΔGT in NCF1. Only 50% of these patients (n = 3) had previously received a clinical diagnosis based on biochemical testing, but without a definitive classification of the CGD subtype.
The most severe cases of CGD are associated with extremely low or absent ROS levels, usually resulting from nonsense CYBB variants that cause complete loss of gp91phox function and tend to present earlier in life. Such was the case of patient P3, who developed symptoms at 6 days of life, representing the most severe phenotype among those analyzed. In contrast, AR‐CGD cases in general, as well as some X‐linked cases caused by missense variants affecting amino acids 1–309 (except residue 222) of gp91phox, are associated with better survival. These patients usually present with milder to moderate phenotypes due to residual ROS production, which can cause a delayed onset of symptoms as well as a delay in definitive diagnosis, contributing to the overall low diagnosis rate [1, 7, 8, 12, 43].
Most patients with CGD are diagnosed before the age of five. However, in the present cohort, only one patient (P4) received both clinical and genetic diagnoses within this age range. Late diagnosis is common among Brazilian patients, with reported ages at diagnosis ranging from 8 to 19 years [28, 32, 35, 36, 38, 40, 44, 45].
Two patients (P1 and P3) had infections resulting from BCG vaccination, P3 with the disseminated form. Complications related to BCG vaccination are commonly observed in patients with CGD, due to their inability to eliminate the attenuated Bacillus. Data from Latin America and Asia show that such complications occur in 11%–58% of patients with CGD and may represent the first clinical manifestation of the disease. Although rare, disseminated BCG infection is associated with a mortality rate of 60%–80%. In Brazil, the BCG vaccine is routinely administered to newborns and children before 5 years of age because of tuberculosis endemism in the country. Therefore, it is crucial to contraindicate the BCG vaccination for patients with CGD [3, 30, 40, 41, 44].
Genetic testing plays a key role in the efficient and early determination of the specific type of CGD, contributing to appropriate disease management and genetic counseling, as well as supporting the selection and referral of patients for HSCT [5, 7, 10, 39, 46].
Structural alterations in gp91phox can affect the electron transfer site from NADPH to O2 in extra‐ or intracellular compartments, thereby determining ROS production [47]. Two patients diagnosed with X‐CGD had missense variants in the CYBB gene, in which the p.Cys257Ser variant identified in patient P1 is a novel finding in the literature and was classified as likely pathogenic. This patient was clinically and genetically diagnosed at the ages of 25 and 39, respectively. Barkai et al. [48] also reported CGD patients with CYBB missense variants in Israel with delayed diagnosis, with a mean diagnostic age of 57.3 years. In patient P2, the likely pathogenic variant p.Cys257Arg was identified, which was previously described in Japanese and Chinese patients. Although BCG infections were identified in the Japanese cohort, no genotype correlation was observed, and such infections were not reported in P2 [49, 50, 51].
The Cys257 residue in gp91phox affected by CYBB missense variants is located in loop E, the largest among the loops of gp91phox (loops A and C), a region of structural and functional relevance. Loop E also contains an N‐linked glycosylation site essential for protein folding, stability, and function. In addition, this loop stabilizes and correctly positions an external heme group of the gp91phox, which is crucial for electron transfer and ROS generation. Furthermore, residues Cys257 and Cys244 form a disulfide bond within gp91phox, which plays a fundamental role in maintaining tertiary and quaternary conformation of proteins. Both variants involving the Cys257 residue were previously predicted by Noreng et al. [52] to disrupt the structure of loop E. In addition, this loop is highly conserved among mammals as well as this cysteine residue, which is conserved across 10 species, emphasizing its biological and evolutionary significance [20, 46, 53, 54, 55, 56].
The ΔΔGtotal values for both variants observed in patients P1 and P2 revealed a stability loss in the overall structure of the NADPH oxidase, suggesting a significant functional impact; ΔΔG values greater than 3 kcal/mol indicate a high destabilization in the protein structure. In addition, ΔΔG values of interchain affinity energies in B and E chains of p.Cys257Ser were found to be significant, suggesting an impact on the interaction between gp91phox and a small GTPase (RAC1/2), which may affect the activation of the NADPH oxidase [20, 23, 47, 57, 58].
The nonsense variant p.Arg157Ter in CYBB, identified in patient P3, was classified as likely pathogenic and is reported in more than 60 patients across Latin America, North America, Asia, and Europe [41, 59, 60, 61, 62, 63, 64, 65, 66]. This variant occurs within a CpG island involved in transcriptional regulation through cytosine demethylation, which is considered a mutational hotspot in CYBB. Moreover, it was previously reported in Brazil, where the absence of gp91phox expression was demonstrated in a patient [26, 31].
In patient P4, the pathogenic variant p.Trp483Ter in CYBB was identified. This variant has been reported in studies from India and Denmark, with the respective patients receiving a diagnosis before the age of 5, as was the case with P4 [64, 67]. The Indian patient reported by Rawat et al. [64] died within the first year of life, whereas the Danish patient presented with chronic urticaria and cerebral abscesses. This variant is predicted to undergo nonsense‐mediated mRNA decay (NMD), a mechanism that targets transcripts harboring a premature termination codon located more than 50 nucleotides upstream of the last exon–exon junction, thereby preventing accumulation of nonfunctional transcripts and aberrant proteins, leading to the absence of gene products [68]. In addition, alterations occurring beyond residue 310 of gp91phox impair the binding domains for FAD and NADPH, which are crucial for ROS production [7, 46].
The p.Tyr26HisfsTer (ΔGT) variant in NCF1, identified in patients P5 and P6, accounts for more than 90% of all AR‐CGD cases and leads to loss of function of p47phox. Due to the high homology between NCF1 and its pseudogenes, several hotspots for recombination events exist, which can occur unequally and insert the ΔGT in NCF1, which is estimated to occur in 1 out of every 250 individuals. Patients P5 and P6 are siblings from consanguineous parents. P5 is homozygous for ΔGT, whereas P6 was identified as heterozygous by gene‐scan, gene panel, and whole genome analysis. Despite presenting a clinical phenotype of CGD, no additional variants were detected in NCF1 or in the other CGD‐associated genes in P6. A possible explanation for this heterozygous profile is the presence of a ΨNCF1 carrying the GTGT sequence instead of the ΔGT, as previously described by Heyworth et al. [69] and Hayrapetyan et al. [25], which may have arisen through unequal recombination with NCF1. Considering that the parents are consanguineous and likely heterozygous for ΔGT, as indicated by the homozygosity observed in P5, it is plausible that a recombination event occurred during gametogenesis, leading to the observed genotype discrepancy between the siblings (Figure 4). Moreover, the high degree of homology between NCF1 and its pseudogenes complicates sequencing analysis, frequently resulting in alignment errors, misreads, and incorrect variant calls. Furthermore, unequal recombination events can cause deletion of entire gene segments, which are also difficult to detect using conventional sequencing methods or even the gene scan [2, 11, 70, 71, 72].
5. Conclusions
CGD belongs to a group of rare and underdiagnosed diseases, highlighting the importance of characterizing clinical presentations and establishing a genetic diagnosis through genotype–phenotype correlations. Beyond guiding appropriate patient management and genetic counseling, genetic diagnosis contributes to the referral of patients for HSCT and enables the contraindication of BCG vaccination, thereby preventing adverse and potentially life‐threatening reactions. In the present study, it was possible to document both the clinical and genetic heterogeneity of Brazilian patients with CGD, as well as to identify and characterize a novel variant causing the disease.
Author Contributions
Leonardo Martinello da Rosa: data curation, formal analysis, investigation, methodology, project administration, software, validation, visualization, writing – original draft, writing – review and editing. Martha Braun da Rosa: formal analysis, investigation, methodology, software, visualization, writing – review and editing. Mariana de Sampaio Leite Jobim Wilson: conceptualization, data curation, investigation, methodology, resources, validation, writing – review and editing. Ida Vanessa Doederlein Schwartz: conceptualization, data curation, funding acquisition, methodology, project administration, resources, supervision, writing – review and editing. Fernanda Sperb‐Ludwig: conceptualization, data curation, formal analysis, funding acquisition, investigation, methodology, project administration, resources, software, supervision, validation, visualization, writing – original draft, writing – review and editing.
Funding
This work was supported by Conselho Nacional de Desenvolvimento Científico e Tecnológico; Fundação de Amparo à Pesquisa do Estado do Rio Grande do Sul (FAPERGS 24/2551‐0000591‐9), and Fundo de Incentivo à Pesquisa e Eventos do Hospital de Clínicas de Porto Alegre (2022‐0206).
Ethics Statement
This study was approved by the Research Ethics Committee of Hospital de Clínicas de Porto Alegre under protocol number 2022‐0206, approved on December 28, 2022, in conformity with the principles of the Declaration of Helsinki.
Consent
Written informed consent was obtained from all participants or their legal guardians prior to inclusion in the present study.
Conflicts of Interest
The authors declare no conflicts of interest.
Acknowledgements
The authors gratefully acknowledge the financial support provided by the Conselho Nacional de Desenvolvimento Científico e Tecnológico (CNPq), Fundação de Amparo à Pesquisa do Estado do Rio Grande do Sul (FAPERGS 24/2551‐0000591‐9) and the Fundo de Incentivo à Pesquisa e Eventos do Hospital de Clínicas de Porto Alegre (FIPE‐HCPA, 2022‐0206). Their funding was essential for the development and execution of this research. The Article Processing Charge for the publication of this research was funded by the Coordenação de Aperfeiçoamento de Pessoal de Nível Superior – Brasil (CAPES) (ROR identifier: 00x0ma614).
da Rosa L. M., da Rosa M. B., Wilson M. S. L. J., Schwartz I. V. D., and Sperb‐Ludwig F., “Chronic Granulomatous Disease: Clinical and Molecular Characterization of Brazilian Patients,” The Journal of Gene Medicine 28, no. 2 (2026): e70086, 10.1002/jgm.70086.
Data Availability Statement
The datasets generated and analyzed during the current study include clinical information and genetic sequencing files. Due to the sensitive nature of these data and patient privacy concerns, they are not publicly available. However, data may be made available upon reasonable request, which will be assessed by the authors in consultation with the corresponding institutional ethics committee.
References
- 1. O'donovan C. J., Tan L. T., Abidin M. A. Z., Roderick M. R., Grammatikos A., and Bernatoniene J., “Diagnosis of Chronic Granulomatous Disease: Strengths and Challenges in the Genomic Era,” Journal of Clinical Medicine 13, no. 15 (2024): 4435, 10.3390/jcm13154435. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 2. Roos D., Van Leeuwen K., Hsu A. P., et al., “Hematologically Important Mutations: The Autosomal Forms of Chronic Granulomatous Disease (Third Update),” Blood Cells, Molecules, and Diseases 2 (2021a): 102596, 10.1016/j.bcmd.2021.102596. [DOI] [PubMed] [Google Scholar]
- 3. Brasil Ministério da Saúde , “Boletim Epidemiológico – Tuberculose 2025: Número Especial, Março de 2025. Brasília: Ministério da Saúde, Secretaria de Vigilância em Saúde e Ambiente, Departamento de HIV, Aids, Tuberculose, Hepatites Virais e IST,” (2025), accessed May 28, 2025, https://www.gov.br/saude.
- 4. Conti F., Lugo‐Reyes S. O., Galicia L. B., et al., “Mycobacterial Disease in Patients With Chronic Granulomatous Disease: A Retrospective Analysis of 71 Cases,” Journal of Allergy and Clinical Immunology 138, no. 1 (2016): 241–248, 10.1016/j.jaci.2015.11.041. [DOI] [PubMed] [Google Scholar]
- 5. Justiz‐Vaillant A. A., Williams‐Persad A. F.‐A., Arozarena‐Fundora R., et al., “Chronic Granulomatous Disease (CGD): Commonly Associated Pathogens, Diagnosis and Treatment,” Microorganisms 11, no. 9 (2023): 2233, 10.3390/microorganisms11092233. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 6. Schäppi M. G., Jaquet V., Belli D. C., and Krause K.‐H., “Hyperinflammation in Chronic Granulomatous Disease and Anti‐Inflammatory Role of the Phagocyte NADPH Oxidase,” Seminars in Immunopathology 30, no. 3 (2008): 255–271, 10.1007/s00281-008-0119-2. [DOI] [PubMed] [Google Scholar]
- 7. Leiding J. W. and Holland S. M., “Chronic Granulomatous Disease,” in GeneReviews, eds. Adam M. P., Feldman J., Mirzaa G. M., et al. (University of Washington, 2022), 1–352. [PubMed] [Google Scholar]
- 8. Yu H.‐H., Yang Y.‐H., and Chiang B.‐L., “Chronic Granulomatous Disease: A Comprehensive Review,” Clinical Reviews in Allergy & Immunology 61, no. 2 (2020): 101–113, 10.1007/s12016-020-08800-x. [DOI] [PubMed] [Google Scholar]
- 9. Fleisher T. A., Madkaikar M., and Rosenzweig S. D., “Application of Flow Cytometry in the Evaluation of Primary Immunodeficiencies,” Indian Journal of Pediatrics 83, no. 5 (2016): 444–449, 10.1007/s12098-015-2011-0. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 10. Yu J., Azar A., Chong H. J., Jongco A. M., and Prince B. T., “Considerations in the Diagnosis of Chronic Granulomatous Disease,” Journal of the Pediatric Infectious Diseases Society 7, no. 1 (2018): 6–11, 10.1093/jpids/piy007. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 11. Dekker J., De Boer M., and Roos D., “Gene‐Scan Method for the Recognition of Carriers and Patients With p47phox‐Deficient Autosomal Recessive Chronic Granulomatous Disease,” Experimental Hematology 29, no. 11 (2001): 1319–1325, 10.1016/s0301-472x(01)00731-7. [DOI] [PubMed] [Google Scholar]
- 12. di Matteo G. and Finocchi A., “Late Diagnosis and Advances in Genetics of Chronic Granulomatous Disease,” Clinical and Experimental Immunology 203, no. 2 (2020): 244–246, 10.1111/cei.13554. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 13. Seidel M. G., Kindle G., Gathmann B., et al., “The European Society for Immunodeficiencies (ESID) Registry Working Definitions for the Clinical Diagnosis of Inborn Errors of Immunity,” Journal of Allergy and Clinical Immunology: In Practice 7, no. 6 (2019): 1763–1770, 10.1016/j.jaip.2019.02.004.27. [DOI] [PubMed] [Google Scholar]
- 14. Mclaren W., Gil L., Hunt S. E., et al., “The Ensembl Variant Effect Predictor,” Genome Biology 17, no. 1 (2016): 1–14, 10.1186/s13059-016-0974-4. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 15. Robinson J. T., Thorvaldsdóttir H., Winckler W., et al., “Integrative Genomics Viewer,” Nature Biotechnology 29, no. 1 (2011): 24–26, 10.1038/nbt.1754. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 16. Richards S., Aziz N., Bale S., et al., “Standards and Guidelines for the Interpretation of Sequence Variants: A Joint Consensus Recommendation of the American College of Medical Genetics and Genomics and the Association for Molecular Pathology,” Genetics in Medicine 17, no. 5 (2015): 405–424, 10.1038/gim.2015.30. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 17. Rehm H. L., Berg J. S., Brooks L. D., et al., “ClinGen—The Clinical Genome Resource,” New England Journal of Medicine 372, no. 23 (2015): 2235–2242, 10.1056/nejmsr1406261. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 18. Cunningham F., Allen J. E., Allen J., et al., “Ensembl 2022,” Nucleic Acids Research 50, no. 1 (2021): 988–995, 10.1093/nar/gkab1049. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 19. Edgar R. C., “MUSCLE: Multiple Sequence Alignment With High Accuracy and High Throughput,” Nucleic Acids Research 32, no. 5 (2004): 1792–1797, 10.1093/nar/gkh340. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 20. Liu X., Shi Y., Liu R., Song K., and Chen L., “Structure of Human Phagocyte NADPH Oxidase in the Activated State,” Nature 627, no. 8002 (2024): 189–195, 10.1038/s41586-024-07056-1. [DOI] [PubMed] [Google Scholar]
- 21. Schrödinger LLC , “The PyMOL Molecular Graphics System, Version 2.4,” (2020).
- 22. Schymkowitz J., Borg J., Stricher F., Rousseau F., and Serrano L., “The FoldX Web Server: An Online Force Field,” Nucleic Acids Research 33, no. Web Server Issue (2005): W382–W388. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 23. Ferreira P., Sant'anna O., Varejão N., et al., “Structure‐Based Analysis of A19D, a Variant of Transthyretin Involved in Familial Amyloid Cardiomyopathy,” PLoS ONE 8, no. 12 (2013): 1–2, 10.1371/journal.pone.0082484. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 24. Guerois R., Nielsen J. E., and Serrano L., “Predicting Changes in the Stability of Proteins and Protein Complexes: A Study of More Than 1000 Mutations,” Journal of Molecular Biology 320 (2002): 369–387, 10.1016/S0022-2836(02)00442-4. [DOI] [PubMed] [Google Scholar]
- 25. Hayrapetyan A., Dencher P. C. D., Van Leeuwen K., De Boer M., and Roos D., “Different Unequal Cross‐Over Events Between NCF1 and Its Pseudogenes in Autosomal p47phox‐Deficient Chronic Granulomatous Disease,” Biochimica et Biophysica Acta ‐ Molecular Basis of Disease 1832, no. 10 (2013): 1662–1672, 10.1016/j.bbadis.2013.05.001. [DOI] [PubMed] [Google Scholar]
- 26. Agudelo‐Flórez P., López J. A., Redher J., et al., “The Use of Reverse Transcription‐PCR for the Diagnosis of X‐Linked Chronic Granulomatous Disease,” Brazilian Journal of Medical and Biological Research 37, no. 5 (2004): 625–634, 10.1590/s0100-879x2004000500001. [DOI] [PubMed] [Google Scholar]
- 27. De Albuquerque J. A. T., De Oliveira Junior E. B., Zurro N. B., et al., “C126R De Novo Mutation in CYBB Leads to X‐Linked Chronic Granulomatous Disease With Recurrent Pneumonia and BCGitis,” Frontiers in Pediatrics 6, no. 1 (2018): 1–5, 10.3389/fped.2018.00248. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 28. Khan T. A., Cabral‐Marques O., Schimke L. F., et al., “Tuberculosis in an Autosomal Recessive Case of Chronic Granulomatous Disease due to Mutation of the NCF1 Gene,” Allergologia et Immunopathologia 44, no. 3 (2016): 276–279, 10.1016/j.aller.2015.04.003. [DOI] [PubMed] [Google Scholar]
- 29. Nunes K., Araújo Castro E Silva M., Rodrigues M. R., et al., “Admixture's Impact on Brazilian Population Evolution and Health,” Science 388 (2025): eadl3564. [DOI] [PubMed] [Google Scholar]
- 30. De Oliveira‐Junior E. B., Prando C., Lopez J. A., et al., “High‐Performance Liquid Chromatography Under Partially Denaturing Conditions (dHPLC) Is a Fast and Cost‐Effective Method for Screening Molecular Defects: Four Novel Mutations Found in X‐Linked Chronic Granulomatous Disease,” Scandinavian Journal of Immunology 76, no. 2 (2012): 158–166, 10.1111/j.1365-3083.2012.02714.x. [DOI] [PubMed] [Google Scholar]
- 31. Patiño P. J., Perez J. E., Lopez J. A., et al., “Molecular Analysis of Chronic Granulomatous Disease Caused by Defects in gp91‐phox,” Human Mutation 13 (1999): 29–37. [DOI] [PubMed] [Google Scholar]
- 32. Prando‐Andrade C., Agudelo‐Florez P., Lopez J. A., Paiva M. A. D. S., Costa‐Carvalho B. T., and Condino‐Neto A., “Doença Granulomatosa Crônica Autossômica: Relato de Caso e Análise Genético‐Molecular de Dois Irmãos Brasileiros,” Jornal de Pediatria 80, no. 5 (2004): 425–428, 10.1590/s0021-75572004000600015. [DOI] [PubMed] [Google Scholar]
- 33. Reis B. C. S., Cunha D. P., Bueno A. P. S., et al., “Chronic Granulomatous Disease and Myelodysplastic Syndrome in a Patient With a Novel Mutation in CYBB,” Genes 12, no. 10 (2021): 1476, 10.3390/genes12101476. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 34. Santos P. F. A. M., Condino‐Neto A., Gomes L. N., and Cardoso C. A., “Intrathoracic Tuberculosis in the Pseudotumoral and Bone Form as a Manifestation of Chronic Granulomatous Disease,” Arquivos de Asma Alergia e Imunologia 6, no. 1 (2022): 134–140, 10.5935/2526-5393.20220014. [DOI] [Google Scholar]
- 35. Zurro N. B., De Albuquerque J. A. T., França T. T., et al., “A Novel Mutation in CYBB Gene in a Patient With Chronic Colitis and Recurrent Pneumonia due to X‐Linked Chronic Granulomatous Disease,” Pediatric Blood & Cancer 65 (2018): 12, 10.1002/pbc.27382. [DOI] [PubMed] [Google Scholar]
- 36. Zurro N. B., De Oliveira Junior E. B., França T. T., Dantas V. M., De Albuquerque J. A. T., and Condino‐Neto A., “Unusual Severe Seborrheic Dermatitis in Two Siblings With Autosomal Recessive Chronic Granulomatous Disease,” Journal of Clinical Immunology 39, no. 8 (2019): 836–838, 10.1007/s10875-019-00681-w. [DOI] [PubMed] [Google Scholar]
- 37. Agudelo‐Flórez P., Prando‐Andrade C. C., López J. A., et al., “Chronic Granulomatous Disease in Latin American Patients: Clinical Spectrum and Molecular Genetics,” Pediatric Blood & Cancer 46, no. 2 (2005): 243–252, 10.1002/pbc.20455. [DOI] [PubMed] [Google Scholar]
- 38. Carnide E. G., Jacob C. A., Castro A. M., and Pastorino A. C., “Clinical and Laboratory Aspects of Chronic Granulomatous Disease in Description of Eighteen Patients,” Pediatric Allergy and Immunology 16, no. 1 (2005): 5–9, 10.1111/j.1399-3038.2005.00225.x. [DOI] [PubMed] [Google Scholar]
- 39. Nunoi H., Nakamura H., Nishimura T., and Matsukura M., “Recent Topics and Advanced Therapies in Chronic Granulomatous Disease,” Human Cell 36, no. 2 (2022): 515–527, 10.1007/s13577-022-00846-7. [DOI] [PubMed] [Google Scholar]
- 40. Oliveira A. F. B., Pastorino A. C., Dorna M. B., et al., “Microbiological Profile in Chronic Granulomatous Disease Patients in a Single Brazilian Primary Immunodeficiencies Center,” Allergologia et Immunopathologia 49, no. 4 (2021): 141–148, 10.15586/aei.v49i4.202. [DOI] [PubMed] [Google Scholar]
- 41. De Oliveira‐Junior E. B., Zurro N. B., Prando C., et al., “Clinical and Genotypic Spectrum of Chronic Granulomatous Disease in 71 Latin American Patients: First Report From the LASID Registry,” Pediatric Blood & Cancer 62, no. 12 (2015): 2101–2107, 10.1002/pbc.25674. [DOI] [PubMed] [Google Scholar]
- 42. Tatebe M. S. S., Dorna M. D. B., Castro A. P. B. M., and Pastorino A. C., “Inflammatory Manifestations in Children With Chronic Granulomatous Disease,” Pediatric Allergy and Immunology 32, no. 5 (2021): 1117–1120, 10.1111/pai.13487. [DOI] [PubMed] [Google Scholar]
- 43. Arnold D. E. and Heimall J. R., “A Review of Chronic Granulomatous Disease,” Advances in Therapy 34, no. 12 (2017): 2543–2557, 10.1007/s12325-017-0636-2. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 44. Constantino T. and Goudouris E., “Chronic Granulomatous Disease: A Case Report,” Residência Pediátrica 11, no. 3 (2021): 1–4, 10.25060/residpediatr-2021.v11n3-231. [DOI] [Google Scholar]
- 45. Melo K. M., Ribeiro L. G., Valente C. F. C., et al., “Doença Granulomatosa Crônica: Características Clínicas, Seguimento e Terapêutica de Cinco Pacientes Pediátricos,” Arquivos de Asma Alergia e Imunologia 7, no. 3 (2023): 267–272, 10.5935/2526-5393.20230039. [DOI] [Google Scholar]
- 46. Kuhns D. B., Alvord W. G., Heller T., et al., “Residual NADPH Oxidase and Survival in Chronic Granulomatous Disease,” New England Journal of Medicine 363, no. 27 (2010): 2600–2610, 10.1056/nejmoa1007097. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 47. Roos D., “Chronic Granulomatous Disease,” British Medical Bulletin 118, no. 1 (2016): 50–63, 10.1093/bmb/ldw009. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 48. Barkai T., Somech R., Broides A., et al., “Late Diagnosis of Chronic Granulomatous Disease,” Clinical and Experimental Immunology 201, no. 3 (2020): 297–305, 10.1111/cei.13474. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 49. Ishikawa T., Okai M., Mochizuki E., Uchiyama T., Onodera M., and Kawai T., “ Bacillus Calmette‐Guérin (BCG) Infections at High Frequency in Both AR‐CGD and X‐CGD Patients Following BCG Vaccination,” Clinical Infectious Diseases 73, no. 9 (2020): 2538–2544, 10.1093/cid/ciaa1049. [DOI] [PubMed] [Google Scholar]
- 50. Kusuhara K., Ohga S., Hoshina T., et al., “Disseminated Bacillus Calmette‐Guérin Lymphadenitis in a Patient With gp91phox − Chronic Granulomatous Disease 25 Years After Vaccination,” European Journal of Pediatrics 168, no. 6 (2008): 745–747, 10.1007/s00431-008-0824-9. [DOI] [PubMed] [Google Scholar]
- 51. Wang S., Wang T., Xiang Q., et al., “Clinical and Molecular Features of Chronic Granulomatous Disease in Mainland China and a XL‐CGD Female Infant Patient After Prenatal Diagnosis,” Journal of Clinical Immunology 39, no. 8 (2019): 762–775, 10.1007/s10875-019-00680-x. [DOI] [PubMed] [Google Scholar]
- 52. Noreng S., Ota N., Sun Y., et al., “Structure of the Core Human NADPH Oxidase NOX2,” Nature Communications 13, no. 1 (2022): 1–11, 10.1038/s41467-022-33711-0. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 53. Fass D., “Disulfide Bonding in Protein Biophysics,” Annual Review of Biophysics 41, no. 1 (2012): 63–79, 10.1146/annurev-biophys-050511-102321. [DOI] [PubMed] [Google Scholar]
- 54. Hao C., Zou Q., Bai X., and Shi W., “Effect of Glycosylation on Protein Folding: From Biological Roles to Chemical Protein Synthesis,” Iscience 28, no. 6 (2025): 112605, 10.1016/j.isci.2025.112605. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 55. Muntoni A. P., Pagnani A., Weigt M., and Zamponi F., “Aligning Biological Sequences by Exploiting Residue Conservation and Coevolution,” Physical Review E 102, no. 6 (2020): 1–20, 10.1103/physreve.102.062409. [DOI] [PubMed] [Google Scholar]
- 56. De Oliveira‐Junior E. B., Bustamante J., Newburger P. E., and Condino‐Neto A., “The Human NADPH Oxidase: Primary and Secondary Defects Impairing the Respiratory Burst Function and the Microbicidal Ability of Phagocytes,” Scandinavian Journal of Immunology 73, no. 5 (2011): 420–427, 10.1111/j.1365-3083.2010.02501.x. [DOI] [PubMed] [Google Scholar]
- 57. Chiriaco M., Salfa I., Di Matteo G., Rossi P., and Finocchi A., “Chronic Granulomatous Disease: Clinical, Molecular, and Therapeutic Aspects,” Pediatric Allergy and Immunology 27 (2016): 242–253. [DOI] [PubMed] [Google Scholar]
- 58. Tokuriki N. and Tawfik D. S., “Stability Effects of Mutations and Protein Evolvability,” Current Opinion in Structural Biology 19, no. 5 (2009): 596–604, 10.1016/j.sbi.2009.08.003. [DOI] [PubMed] [Google Scholar]
- 59. Heydari A., Abolnezhadian F., Sadeghi‐Shabestari M., et al., “Identification of Cytochrome B‐245, Beta‐Chain Gene Mutations, and Clinical Presentations in Iranian Patients With X‐Linked Chronic Granulomatous Disease,” Journal of Clinical Laboratory Analysis 35, no. 2 (2020): 1–8, 10.1002/jcla.23637. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 60. Ko S. H., Rhim J. W., Shin K. S., Hahn Y. S., Lee S. Y., and Kim J. G., “Genetic Analysis of CYBB Gene in 26 Korean Families With X‐Linked Chronic Granulomatous Disease,” Immunological Investigations 43, no. 6 (2014): 585–594, 10.3109/08820139.2013.825270. [DOI] [PubMed] [Google Scholar]
- 61. Kutukculer N., Aykut A., Karaca N. E., et al., “Chronic Granulamatous Disease: Two Decades of Experience From a Paediatric Immunology Unit in a Country With High Rate of Consangineous Marriages,” Scandinavian Journal of Immunology 89, no. 2 (2019): 1–8, 10.1111/sji.12737. [DOI] [PubMed] [Google Scholar]
- 62. Labrosse R., Abou‐Diab J., Blincoe A., et al., “Very Early‐Onset Inflammatory Manifestations of X‐Linked Chronic Granulomatous Disease,” Frontiers in Immunology 8 (2017): 1–7, 10.3389/fimmu.2017.01167. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 63. Martel C., Mollin M., Beaumel S., et al., “Clinical, Functional and Genetic Analysis of Twenty‐Four Patients With Chronic Granulomatous Disease – Identification of Eight Novel Mutations in CYBB and NCF2 Genes,” Journal of Clinical Immunology 32, no. 5 (2012): 942–958, 10.1007/s10875-012-9698-8. [DOI] [PubMed] [Google Scholar]
- 64. Rawat A., Vignesh P., Sudhakar M., et al., “Clinical, Immunological, and Molecular Profile of Chronic Granulomatous Disease: A Multi‐Centric Study of 236 Patients From India,” Frontiers in Immunology 12 (2021): 1–15, 10.3389/fimmu.2021.625320. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 65. Roos D., Van Leeuwen K., Hsu A. P., et al., “Hematologically Important Mutations: X‐Linked Chronic Granulomatous Disease (Fourth Update),” Blood Cells, Molecules, and Diseases 90 (2021b): 1–36, 10.1016/j.bcmd.2021.102587. [DOI] [PubMed] [Google Scholar]
- 66. Zhou Q., Hui X., Ying W., et al., “A Cohort of 169 Chronic Granulomatous Disease Patients Exposed to BCG Vaccination: A Retrospective Study From a Single Center in Shanghai, China (2004:2017),” Journal of Clinical Immunology 38, no. 3 (2018): 260–272, 10.1007/s10875-018-0486-y. [DOI] [PubMed] [Google Scholar]
- 67. Jakobsen M. A., Katzenstein T. L., Valerius N. H., et al., “Genetical Analysis of All Danish Patients Diagnosed With Chronic Granulomatous Disease,” Scandinavian Journal of Immunology 76, no. 5 (2012): 505–511, 10.1111/j.1365-3083.2012.02771.x. [DOI] [PubMed] [Google Scholar]
- 68. Lykke‐Andersen S. and Jensen T. H., “Nonsense‐Mediated mRNA Decay: An Intricate Machinery That Shapes Transcriptomes,” Nature Reviews Molecular Cell Biology 16, no. 11 (2015): 665–677, 10.1038/nrm4063. [DOI] [PubMed] [Google Scholar]
- 69. Heyworth P. G., Noack D., and Cross A. R., “Identification of a Novel NCF‐1 (p47‐phox) Pseudogene Not Containing the Signature GT Deletion: Significance for A47° Chronic Granulomatous Disease Carrier Detection,” Blood 100, no. 5 (2002): 1845–1851, 10.1182/blood-2002-03-0861. [DOI] [PubMed] [Google Scholar]
- 70. Hijikata A., Suyama M., Kikugawa S., et al., “Exome‐Wide Benchmark of Difficult‐to‐Sequence Regions Using Short‐Read Next‐Generation DNA Sequencing,” Nucleic Acids Research 52, no. 1 (2024): 114–124, 10.1093/nar/gkad1140. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 71. Noack D., Rae J., Cross A. R., et al., “Autosomal Recessive Chronic Granulomatous Disease Caused by Defects in NCF‐1, the Gene Encoding the Phagocyte p47‐Phox: Mutations Not Arising in the ncf‐1 Pseudogenes,” Blood 97, no. 1 (2001): 305–311, 10.1182/blood.v97.1.305. [DOI] [PubMed] [Google Scholar]
- 72. Roos D., De Boer M., Köker M. Y., et al., “Chronic Granulomatous Disease Caused by Mutations Other Than the Common GT Deletion in NCF1, the Gene Encoding the p47phoxcomponent of the Phagocyte NADPH Oxidase,” Human Mutation 27, no. 12 (2006): 1218–1229, 10.1002/humu.20413. [DOI] [PubMed] [Google Scholar]
Associated Data
This section collects any data citations, data availability statements, or supplementary materials included in this article.
Data Availability Statement
The datasets generated and analyzed during the current study include clinical information and genetic sequencing files. Due to the sensitive nature of these data and patient privacy concerns, they are not publicly available. However, data may be made available upon reasonable request, which will be assessed by the authors in consultation with the corresponding institutional ethics committee.
