Abstract
Pulmonary involvement in Gaucher disease (GD) is underrecognized and may range from asymptomatic radiological abnormalities to respiratory impairment. This study assessed pulmonary involvement and its associations with disease phenotype, genotype, and pulmonary function in patients receiving long-term enzyme replacement therapy (ERT). In this single-center cross-sectional study, 52 genetically confirmed patients with GD receiving ERT underwent clinical assessment and high-resolution computed tomography (HRCT). Spirometry was performed in 34 cooperative patients aged ≥ 6 years. Clinical characteristics, genotype, baseline glucosylsphingosine (lyso-GL1), and disease phenotype were analyzed in relation to pulmonary findings. Respiratory symptoms were present in 19/52 (36.5%) patients. HRCT demonstrated interstitial abnormalities suggestive of interstitial lung disease (ILD) in 24/52 (46.2%), predominantly ground-glass opacities and interstitial thickening. These abnormalities were more frequent in type 3 than type 1 GD (P = 0.001). Homozygous L483P was associated with HRCT abnormalities suggestive of ILD in univariable analysis (P = 0.013). Among 34 patients undergoing spirometry, 11 (32.4%) had abnormal results, including obstructive (8.8%), restrictive (11.8%), and mixed (11.8%) patterns. Abnormal spirometry was associated with HRCT abnormalities (P < 0.001), while three patients had radiological abnormalities despite preserved spirometry. On multivariable analysis, higher baseline lyso-GL1, type 3 phenotype, and kyphoscoliosis were independently associated with HRCT abnormalities suggestive of ILD.
Conclusion: Pulmonary abnormalities remained common despite long-term ERT, particularly in type 3 GD. HRCT detected interstitial abnormalities in some patients with preserved spirometry, suggesting that structural pulmonary involvement may precede functional impairment. Individualized respiratory surveillance should be considered, particularly in patients with type 3 GD.
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What is Known: • Pulmonary involvement in Gaucher disease ranges from subclinical radiological abnormalities to respiratory impairment and is more frequent in type 3 disease. Its relationship with genotype and lung function remains incompletely defined. | |
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What is New: • Pulmonary abnormalities were frequent despite long-term enzyme replacement therapy, particularly in type 3 disease. HRCT detected interstitial abnormalities in patients with normal spirometry, while type 3 phenotype, higher baseline lyso-GL1, and kyphoscoliosis independently predicted pulmonary involvement. |
Keywords: Gaucher disease, Pulmonary manifestations, Interstitial lung disease, HRCT chest, Pulmonary function tests
Introduction
Gaucher disease (GD) is a rare autosomal recessive lysosomal storage disorder caused by pathogenic variants in the Glucocerebrosidase 1 (GBA1) gene, encoding glucocerebrosidase [1]. Enzyme deficiency leads to accumulation of glucosylceramide within macrophages, resulting in multisystem involvement affecting the liver, spleen, bone marrow, skeleton, lungs, and, in neuronopathic forms, the central nervous system [2, 3].
Although pulmonary involvement has long been considered infrequent in GD, increasing evidence suggests that respiratory manifestations are more common than previously recognized. Pulmonary abnormalities result mainly from Gaucher cell infiltration of the lungs and pulmonary vessels, causing various structural and functional respiratory abnormalities [4]. Chest CT may reveal interlobular septal thickening, ground-glass opacities, interstitial infiltration, and vascular abnormalities, while fibrosis, nodules, and lymphadenopathy are less frequent. This heterogeneity complicates the recognition and standardized assessment of pulmonary involvement [4, 5].
Pulmonary function testing may detect physiological abnormalities before clinically apparent respiratory disease [6]. However, published data regarding spirometric abnormalities in GD and their relationship with radiological findings remain limited.
Genotype may affect pulmonary involvement; homozygous L483P (formerly L444P) is more common in intrinsic pulmonary disease, but genotype–phenotype relationships remain unclear [4, 5, 7].
Enzyme replacement therapy (ERT) has significantly improved outcomes in GD; however, its effect on pulmonary disease is variable [8–10], and progressive or persistent respiratory abnormalities have been reported despite prolonged ERT [11, 12]. Few studies have assessed pulmonary imaging, function, and genotype together in GD, especially in Middle Eastern and North African populations. This study aimed to characterize pulmonary manifestations in Egyptian GD patients and evaluate their relationships with HRCT, spirometry, GBA1 genotype, and clinical phenotype.
Patients and methods
This single-center cross-sectional observational study combined retrospective extraction of clinical data from medical records with prospective assessment of pulmonary involvement during a single study visit. The study included all consecutive patients with a confirmed diagnosis of GD who were under regular follow-up and receiving ERT at the Gastroenterology Unit, Mansoura University Children’s Hospital between July 2023 and July 2025. Owing to the rarity of GD, all eligible patients were included without formal sample size calculation. The cohort comprised both pediatric and adult patients, as our center provides lifelong follow-up for patients diagnosed with Gaucher disease during childhood.
Patients were diagnosed based on deficient peripheral blood glucocerebrosidase activity and identification of pathogenic GBA1 variants, in accordance with established diagnostic guidelines [13].
Patients without primary neuronopathic involvement were classified as type 1, whereas those with a chronic neurological phenotype compatible with neuronopathic GD were classified as type 3 based on longitudinal clinical assessment [14–18]. Horizontal supranuclear gaze abnormalities were specifically assessed in accordance with the 2020 consensus definition [14]. Other neurological manifestations, including strabismus, seizures, and dysphagia were recorded as associated neurological findings [15–17]. The neurological phenotype was considered in the context of the longitudinal clinical course, given the variable clinical spectrum of neuronopathic GD [14, 17]. No alternative neurological diagnosis was identified during follow-up.
Clinical data; disease phenotype; baseline laboratory results (hemoglobin, platelet counts, chitotriosidase activity, and lyso-GL1 levels); treatment history; and genotype information were extracted from medical records. Available echocardiographic assessments were reviewed by the pediatric cardiologist for evidence of pulmonary hypertension according to clinical and echocardiographic criteria [19–21].
Anthropometric, biomarker assessment, and liver and spleen volumetry
Weight, height, and BMI were measured and interpreted using WHO standards for children < 2 years, 2000 CDC Growth Charts for ages 2–20 years, and WHO criteria for adults [22–24]. Chitotriosidase and lyso-GL1 were assessed using standardized or assay-specific reference ranges [13, 25]. Liver and spleen volumes were measured by HRCT volumetry using age- and body-size-adjusted references [26–29].
During the study visit, patients underwent clinical evaluation and disease severity assessment using validated scoring systems. The Pediatric Gaucher Severity Score (PGS3) was used in children (mild ≤ 6, moderate 6–8, severe ≥ 9), the Gaucher Disease Severity Scoring system(GD1-DS3) in adults with type 1 GD (mild (<3) , moderate (3 to <6) , marked/severe (≥6 ) , and a modified neurological severity score in neuronopathic disease [30–32]. Eligible patients underwent spirometry and HRCT.
Spirometry
Pulmonary function testing (PFT) was performed using a computerized spirometer (MasterScreen Pediatrics, Jaeger, Germany) in accordance with the American Thoracic Society/European Respiratory Society (ATS/ERS) standards [33]. Spirometry was performed in 34 cooperative patients aged ≥ 6 years. The remaining 18 patients were not assessed because they were either younger than 6 years or unable to perform acceptable spirometric maneuvers because of limited cooperation or neurological impairment. At least three acceptable maneuvers were obtained, and the highest values were recorded. Spirometric values were expressed as percentages of the Global Lung Function Initiative (GLI)−2012 predicted values adjusted for age, sex, and height. Measured parameters included forced vital capacity (FVC), forced expiratory volume in one second (FEV₁), FEV₁/FVC ratio, and forced expiratory flow between 25 and 75% of vital capacity (FEF₂₅–₇₅) [33].
Spirometry was classified as normal (FVC and FEV₁ ≥ 80% predicted with a preserved FEV₁/FVC ratio), obstructive (reduced FEV₁ and FEV₁/FVC ratio), restrictive (reduced FVC with a normal or increased FEV₁/FVC ratio), or mixed (concurrent reductions in FEV₁, FVC, and FEV₁/FVC ratio) according to standard criteria. Because total lung capacity was not measured, restrictive spirometric abnormalities were considered suggestive rather than diagnostic of restrictive lung disease [33, 34].
Radiology
HRCT was performed using a Revolution EVO 128-slice CT scanner (GE Healthcare, USA) with dose-adjusted radiation exposure. Images were reviewed by a consultant radiologist blinded to clinical data. Pulmonary involvement was defined as HRCT evidence of interstitial abnormalities suggestive of interstitial lung disease (ILD), including ground-glass opacities, interstitial thickening, and reticulation. These findings were considered radiological evidence of interstitial pulmonary involvement rather than a definitive clinical diagnosis of ILD. Other findings, including nodules and lymphadenopathy, were recorded. As no GD-specific CT scoring system exists, the Warrick score was used as an exploratory semi-quantitative measure, classifying interstitial lung involvement as mild (0–7), moderate (8_15), or severe (> 15) [35, 36].
Statistical analysis
Statistical analysis was performed using IBM SPSS Statistics version 26 (SPSS Inc., PASW Statistics for Windows version 26. Chicago: SPSS Inc.). Continuous variables were presented as mean ± SD or median (range), and categorical variables as frequencies and percentages. Group comparisons used appropriate parametric or non-parametric tests. Variables selected based on statistical significance and clinical relevance were entered simultaneously into a multivariable binary logistic regression model using the Enter method. Adjusted odds ratios (ORs) with 95% confidence intervals (CIs) were reported, and P < 0.05 was considered statistically significant. Potential collinearity among phenotype, L483P genotype, and kyphoscoliosis was assessed using cross-tabulations and variance inflation factors (VIFs).
Results
Fifty-two patients with GD included the following: 33 (63.5%) males and 19 (36.5%) females; 13 (25%) were adults. Type 1 GD was diagnosed phenotypically in 33 (63.5%) patients and type 3 GD in 19 (36.5%). All patients were receiving ERT for a median of 11.5 years, with imiglucerase administered to fifty patients and velaglucerase alfa to two patients. Patients with type 3 GD received significantly higher ERT doses than those with type 1 GD (P < 0.05). Baseline characteristics are summarized in Table 1.
Table 1.
Demographic, clinical, and laboratory characteristics of Gaucher disease patients
| Gaucher disease patients (n = 52) | Reference/normal values | |
|---|---|---|
| Age (years) | 14.6 (2.5–33.4) | — |
| Age of presentation (years) | 0.9 (0.08–20) | — |
| Age of diagnosis (years) | 1.3 (0.5–21) | — |
| Consanguinity | 39 (75%) | — |
| Family history | 28 (53.8%) | — |
| Weight (Kg) | 35.5 (11–81) | Age- and sex-specific |
| Height (cm) | 143 (85–185) | Age- and sex-specific |
| Body mass index(BMI) (kg/m2) | 17.6 (13–28) | Age- and sex-specific |
| Baseline hemoglobin (g/dL) | 9 (4–13) | Age- and sex-specific [37] |
| Baseline platelets (× 109/L) | 112 (34–366) | Age-specific [38, 39] |
| Baseline chitotriosidase activity (µmol/L/h) | 0.36 (0–3) | Assay-specific [13] |
| Baseline lyso-GL1 (glucosylsphingosine) (ng/ml) | 314.5 (67–1748) | Assay-specific [25] |
| Spleen (cm3) | 260 (110–570) | Age-/body-size-adjusted [28, 29] |
| Liver (cm3) | 950 (400–2050) | Age-/body-size-adjusted [26, 27] |
|
Disease severity according to age and phenotype-specific validated scores Mild (n = 46) Moderate (n = 4) Severe (n = 2) |
46 (88.5%) 4 (7.7%) 2 (3.8%) |
— |
|
Echocardiographic evidence of pulmonary hypertension (n = 13) Mild elevated PASP (n = 12) Moderate elevated PASP (n = 1) |
12 (23.1%) 1 (1.9%) |
Mild elevated estimated echocardiographic PASP 30–40 mmHg, Moderate elevated estimated echocardiographic PASP 40–70 mmHg [20, 21] |
| Delay in ERT initiation (years) | 0.16 (0–4) | — |
| Age at ERT initiation (years) | 2 (0.08–22) | — |
| ERT duration (years) | 11.5 (1.5–19.5) | — |
Data are presented as median (range) and number (percentage). Reference values were age-, sex-, body-size-, or assay-specific, as applicable. PASP estimated pulmonary artery systolic pressure. Disease severity was assessed using the appropriate validated scoring system according to age and phenotype: PGS3 for children with type 1 GD, GD1-DS3 for adults with type 1 GD, and the modified neurological severity score for patients with type 3 GD
Genotype distribution
The most frequent genotype was homozygous L483P (L444P), identified in 25 patients (48.1%), followed by homozygous N409S (N370S) in six patients (11.5%) and homozygous R359Q in three patients (5.8%). Compound heterozygous L483P/N409S and L483P/RecNciI variants were detected in two patients each (3.8%). Several rare GBA1 genotypes were identified, each occurring in a single patient (1.9%), including homozygous and compound heterozygous variants such as (R496C), (R48W/G202R), (N227S/Q286*), (R159W/N409S), (R359Q/L483P), (F213I), and (D409H/D409H), and genotype data were unavailable in five cases (9.6%)) Fig. 1).
Fig. 1.

Distribution of GBA1 genotypes among patients with Gaucher disease
Homozygous L483P was present in most patients with type 3 GD (P < 0.001), whereas the N409S variant was predominantly observed in patients with type 1 GD.
Clinical findings
The most common initial manifestations were abdominal enlargement (86.5%), anemia (78.8%), and thrombocytopenia (57.7%). Failure to thrive, recurrent chest infections, and developmental delay occurred in 25%, 23%, and 19.2%, respectively; 4/52 (7.7%) were diagnosed by asymptomatic family screening. Type 3 GD showed significantly more neurological and musculoskeletal manifestations: supranuclear gaze palsy and kyphoscoliosis (13/19, 68.4% each); strabismus and dysphagia (8/19, 42.1% each); and seizures (3/19, 15.8%). Respiratory symptoms occurred in 19/52 (36.5%), mainly dyspnea (18/19, 94.7%): New York Heart Association (NYHA), class I (10/18, 55.6%), class II (4/18, 22.2%), class III (4/18, 22.2%); recurrent infections (10/19, 52.6%) and chronic cough (1/19, 5.3%).
Radiological findings
HRCT revealed pulmonary interstitial abnormalities suggestive of ILD in 24 patients (46.2%). Pulmonary involvement was significantly more frequent in type 3 GD compared with type 1 GD (84.2% vs. 24.2%, P = 0.001). Ground-glass opacities and interstitial thickening were the most common abnormalities (Table 2) (Fig. 2).Warrick scores ranged from 1 to 9 (median 3); most patients had mild (70.8%) or moderate (29.2%) interstitial involvement, with no severe cases.
Table 2.
HRCT patterns of interstitial lung abnormalities in patients with Gaucher disease (n = 24)
| HRCT-defined interstitial abnormalities | n = 24 |
| Interstitial thickening alone | 5 (20.8%) |
| Ground glass opacities (GGO) alone | 5 (20.8%) |
| Consolidation ± GGO/atelectasis | 5 (20.8%) |
| Interstitial thickening + GGO ± (air trapping/consolidation) | 7 (29.2%) |
| Fibrotic bands | 2 (8.3%) |
| Other HRCT findings | n = 4 |
| Small nodules (pulmonary/subpleural) | 2 (8.3%) |
| Mediastinal lymphadenopathy | 2 (8.3%) |
Data are presented as numbers (percentages)
Fig. 2.

Representative HRCT findings in two patients with Gaucher disease. A HRCT of a 6-year-old male patient with chronic cough demonstrating extensive interstitial thickening, bilateral ground-glass opacities, and areas of consolidation. B HRCT of a 20-year-old asymptomatic male patient demonstrating diffuse interstitial thickening, widespread ground-glass opacities, and basal consolidation (both patients carried the homozygous L483P)
Patients with HRCT findings suggestive of ILD were younger at presentation and diagnosis and had lower weight, height, and body mass index (BMI), together with higher baseline lyso-GL1 levels (all P < 0.05). HRCT-defined interstitial abnormalities were significantly associated with the type 3 phenotype, homozygous L483P genotype, higher disease severity scores, pulmonary manifestations, kyphoscoliosis, and abnormal spirometry (Table 3). Among 34 patients who underwent both HRCT and spirometry, 20/23 with normal HRCT had normal spirometry, whereas 8/11 with ILD-suggestive HRCT had abnormal spirometry. Notably, three patients had HRCT evidence of interstitial abnormalities despite normal spirometry. HRCT abnormalities were significantly associated with abnormal spirometry (P < 0.001).
Table 3.
Characteristics of patients with and without HRCT findings suggestive of interstitial lung disease
| No ILD on HRCT (n = 28) | HRCT suggestive of ILD (n = 24) | P value | |
|---|---|---|---|
| Age (years) | 16 (2.6–33.4) | 11.2 (2.8–23.1) | 0.09 |
| Age of presentation (years) | 1.2 (0.08–20) | 0.66 (0.08–2.3) | 0.032* |
| Age at diagnosis (years) | 1.9 (0.58–21) | 1 (0.5–3) | 0.01* |
| Weight (kg) | 49 (16–81) | 27 (11–62) | 0.003* |
| Height (cm) | 155 (95–185) | 128 (85–167) | 0.007* |
| BMI (kg/m2) | 19.98 ± 3.96 | 17.01 ± 2.64 | 0.003* |
|
Age group Pediatric (n = 39) Adult (n = 13) |
18 (46.2%) 10 (76.9%) |
21 (53.8%) 3 (23.1%) |
0.054 |
|
Sex Male (n = 33) Female (n = 19) |
15 (45%) 13 (68%) |
18 (55%) 6 (32%) |
0.110 |
|
Phenotype Type 1 (n = 33) Type 3 (n = 19) |
25 (75.8%) 3 (15.8%) |
8 (24.2%) 16 (84.2%) |
0.001* |
|
Homozygous L483P L483P (n = 25) Not L483P (n = 27) |
9 (36%) 19 (70%) |
16 (64%) 8 (30%) |
0.013* |
| Baseline hemoglobin (g/dL) | 9.2 (4–12) | 9 (4–13) | 0.259 |
| Baseline platelets (L/109) | 102 (63–233) | 141 (34–366) | 0.811 |
| Baseline lyso-GL1 (ng/mL) | 229.05 (39–564) | 424.2 (107–1748) | 0.006* |
| Spleen (cm3) | 270 (130–570) | 255 (110–550) | 0.891 |
| Liver (cm3) | 1020 (540–2050) | 715 (400–1600) | 0.068 |
|
Severity scoring index Mild (n = 46) Moderate (n = 4) Severe (n = 2) |
27 (58.7%) 1 (25%) 0 |
19 (41.3%) 3 (75%) 2 (100%) |
0.039* |
| Age at ERT initiation (years) | 2.2 (0.83–22) | 1.2 (0.08–5.8) | 0.006* |
| ERT duration (years) | 12 (3–19.5) | 10.25 (1.5–19) | 0.45 |
| ERT start delay (years) | 0.17 (0.1–4.0) | 0.4 (0–1.6) | 0.640 |
| Pulmonary manifestations | 1 (5.3%) | 18 (94.7%) | < 0.001* |
| Kyphoscoliosis | 4 (21%) | 15 (79%) | < 0.001* |
|
Spirometry results (n = 34) Normal (n = 23) Abnormal (n = 11) |
20 (87%) 3 (27%) |
3 (13%) 8 (73%) |
0.001* |
|
Echocardiographic findings suggestive of pulmonary hypertension No elevated echocardiographic PASP (n = 39) Elevated estimated echocardiographic PASP (mmHg) (N = 13) |
21 (53.8%) 7 (53.8) |
18 (46.2%) 6 (46.2%) |
1.000 |
Continuous variables are presented as median (minimum–maximum) or mean ± SD, as appropriate. Categorical variables are presented as n (%). Percentages for categorical variables are calculated by row. *Statistically significant. PASP estimated pulmonary artery systolic pressure
Multivariable logistic regression identified higher baseline lyso-GL1 levels, type 3 phenotype, and kyphoscoliosis as independently associated with abnormal HRCT findings (Table 4). No evidence of problematic multicollinearity was observed among the included predictors (VIF range, 1.004–1.253).
Table 4.
Multivariable logistic regression analysis of factors associated with HRCT suggestive of interstitial lung disease (ILD)
| OR | 95% CI | P value | |
|---|---|---|---|
| lyso-GL1 (ng/mL) | 1.006 | 1.001–1.011 | 0.014* |
| Type 3 phenotype (vs type 1) | 39.913 | 3.446–462.232 | 0.003* |
| Kyphoscoliosis | 13.422 | 1.535–117.355 | 0.019* |
OR (95% CI) odds ratio with 95% confidence interval
Reference category for phenotype: type 1 GD. *Statistically significant
To illustrate the spectrum of radiological abnormalities observed in our cohort, representative HRCT images from two patients are presented in Fig. 2
Spirometry results
Spirometry was performed in 34 cooperative patients aged ≥ 6 years. Normal spirometry was observed in 23 patients (67.6%), whereas abnormalities were detected in 11 (32.4%). Obstructive defects occurred in three patients (8.8%), restrictive patterns in four patients (11.8%), and mixed ventilatory defects in four patients (11.8%). Results of spirometry parameters are shown in the Table 5.
Table 5.
Spirometry results of Gaucher patients
| Parameter | % Predicted |
|---|---|
| FEV1 | 81 (25–249) |
| FVC | 70 (30–150) |
| FEV1/FVC | 113.5 (51–191) |
| FEF 25–75% | 70 (31–227) |
FEV1 forced expiratory volume in the first second, FVC forced vital capacity, FEF forced expiratory flow. Data are presented as median (range) of % predicted values
†Available for 34 patients aged ≥ 6 years who were able to perform acceptable spirometry
Restrictive and mixed ventilatory abnormalities were mainly observed in patients with HRCT-defined interstitial abnormalities suggestive of ILD. Three patients had these abnormalities despite normal spirometry. HRCT abnormalities were independently associated with abnormal pulmonary function (OR 14.5, 95% CI 2.0–105.0, P = 0.008).
Impact of enzyme replacement therapy
Long-term ERT significantly improved hemoglobin (median 9.0 to 11.9 g/dL) and platelet counts (median 112 to 195.5 × 109/L; both P < 0.001), as well as liver volume (P = 0.007) and growth parameters (P < 0.001). The median age at ERT initiation was 2.0 years (0.08–22), with a median treatment duration of 11.5 years (1.5–19.5). Patients with HRCT findings suggestive of ILD had a younger age at ERT initiation (P = 0.006), while ERT duration and treatment delay were not associated with HRCT suggestive of ILD (P > 0.05). Respiratory manifestations, including recurrent chest infections and aspiration episodes, showed limited improvement despite long-term ERT.
Discussion
The clinical characteristics of our cohort highlight the distinctive epidemiology of Gaucher disease (GD) in Egypt while remaining consistent with international reports. Although type 1 GD was the predominant phenotype (63.5%), type 3 GD accounted for more than one-third of patients, in contrast to Western populations, where type 1 GD represents over 90% of cases, but aligning with previous Egyptian studies reporting a higher frequency of type 3 GD [5, 40, 41]. This distinct distribution may reflect the high prevalence of parental consanguinity and the predominance of the homozygous L483P pathogenic variant in the Egyptian population, which is strongly associated with the chronic neuronopathic phenotype [18, 41]. Hepatosplenomegaly, anemia, and thrombocytopenia were the most frequent presenting manifestations, reflecting the characteristic visceral and hematological involvement reported in both Egyptian and international cohorts [18, 40].
The genotypic profile of our patients was also consistent with previous Egyptian studies, with homozygous L483P being the predominant pathogenic variant, followed by homozygous N409S [5, 18, 42, 43]. L483P was identified in most patients with type 3 GD, whereas N409S, either homozygous or compound heterozygous, was predominantly associated with type 1 GD, supporting the established genotype–phenotype correlation reported in Egyptian and international cohorts [44, 45].
Respiratory symptoms occurred in over one-third of our cohort, with nearly two-thirds of symptomatic patients having type 3 GD. Dyspnea was the predominant respiratory manifestation, followed by recurrent respiratory infections. This prevalence is comparable to that reported by Tantawy et al. (33.3% in Egyptian patients) [5]. The predominance of respiratory symptoms in type 3 GD is consistent with previous reports and may reflect the greater systemic disease burden associated with neuronopathic phenotypes [11].
Pulmonary abnormalities suggestive of ILD were detected by HRCT in nearly half of our cohort (46.2%), with ground-glass opacities and interstitial thickening representing the predominant radiological findings. Similar imaging patterns have been consistently described in previous studies of GD, where ground-glass opacities and interstitial changes constitute the most frequent HRCT abnormalities [46, 47]. Although the prevalence of HRCT abnormalities in our cohort was lower than the 64.6% reported by Tantawy et al. in an Egyptian pediatric cohort, it remains considerably higher than that reported in earlier studies relying on chest radiography or clinically overt lung disease, highlighting the superior sensitivity of HRCT for detecting early or subclinical pulmonary involvement [5, 48, 49]. Furthermore, HRCT abnormalities were significantly more frequent in patients with type 3 GD and were associated with the homozygous L483P genotype, consistent with previous reports demonstrating the greater susceptibility of neuronopathic GD to pulmonary involvement [4, 5, 7, 9].
In the present study, patients with HRCT abnormalities suggestive of ILD were younger at presentation and diagnosis and had poorer growth, higher baseline lyso-GL1 levels, higher disease severity scores, kyphoscoliosis, and more frequent pulmonary manifestations. Multivariable analysis identified baseline lyso-GL1, type 3 phenotype, and kyphoscoliosis as independently associated with HRCT abnormalities. However, the wide confidence intervals, particularly for type 3 phenotype and kyphoscoliosis, indicate considerable uncertainty in the magnitude of these associations. These findings should therefore be interpreted cautiously and validated in larger multicenter cohorts. Consistent with our findings, Tantawy et al. reported thrombocytopenia, anemia, and higher disease severity scores as predictors of abnormal HRCT findings [5].
A notable finding of the present study was the detection of elevated baseline lyso-GL1 levels as an independent predictor of HRCT abnormalities. lyso-GL1, a direct metabolite of Gb1, is a sensitive biomarker of GD burden and correlates with disease severity and treatment response [50]. Accumulation of Gb1 within lysosomes promotes macrophage activation and inflammatory signaling, which may contribute to tissue injury and disease progression [51, 52]. These mechanisms provide a plausible biological basis for the association between elevated baseline lyso-GL1 levels and pulmonary involvement observed in our cohort.
Elevated PASP on echocardiography was observed in approximately one-quarter of our cohort. Pulmonary hypertension is a recognized complication of GD and may result from Gaucher cell infiltration, interstitial lung disease, and pulmonary vascular remodeling [11, 52]. Its relatively high frequency in our cohort may be related to the predominance of type 3 GD and interstitial lung involvement. However, as assessment was based on echocardiography rather than right heart catheterization, these findings should be considered suggestive rather than diagnostic.
Approximately one-third of the patients who underwent spirometry in the present study demonstrated ventilatory abnormalities, with restrictive and mixed ventilatory defects accounting for most abnormal patterns. These findings are consistent with previous studies showing that pulmonary function abnormalities are common in GD, although the reported prevalence varies according to the pulmonary function parameters assessed and the characteristics of the study population [48, 49]. Kerem et al. reported a higher prevalence of pulmonary function abnormalities (68%) in patients with type 1 GD; however, their assessment included lung volumes and diffusing capacity for carbon monoxide (DLCO) and transfer coefficient for carbon monoxide (KCO), which are more sensitive than spirometry alone for detecting early pulmonary involvement [48]. In contrast, our study evaluated spirometric indices only, which may explain the lower prevalence of ventilatory impairment.
Restrictive and mixed ventilatory defects predominated in our cohort and were observed almost exclusively in patients with HRCT-defined interstitial pulmonary abnormalities suggestive of ILD. This is consistent with Miller et al., who demonstrated that patients with clinically evident pulmonary involvement consistently exhibited restrictive ventilatory impairment with reduced diffusing capacity, whereas patients without radiological lung disease generally had preserved pulmonary function [49]. Notably, three patients had HRCT evidence of ILD despite normal spirometry, suggesting that structural lung involvement may precede functional impairment. These findings highlight the complementary role of HRCT in detecting early pulmonary involvement that may not be identified by spirometry alone.
All patients in our cohort received long-term ERT, with a median treatment duration of 11.5 years. ERT improved hematological and visceral manifestations, including anemia, thrombocytopenia, and hepatomegaly, consistent with previous reports [53–55]. However, pulmonary abnormalities persisted in some patients despite prolonged therapy. The younger age at ERT initiation among patients with HRCT findings suggestive of ILD may reflect earlier diagnosis and treatment of more severe phenotypes, particularly type 3 GD, rather than an adverse effect of early ERT. Persistent pulmonary abnormalities may indicate established structural lung damage, highlighting the importance of early diagnosis and ongoing respiratory surveillance to minimize irreversible pulmonary complications [56–58].
In conclusion, pulmonary abnormalities were common in GD, especially type 3, despite long-term ERT. HRCT detected interstitial abnormalities more frequently than spirometry and identified pulmonary involvement in some patients with preserved spirometry; therefore, early recognition and regular respiratory surveillance are important, particularly in high-risk patients. Combining clinical assessment, pulmonary function tests, and HRCT when indicated may improve detection of pulmonary complications.
Strengths and limitations
A key strength of this study is the integrated evaluation of pulmonary involvement using clinical, radiological, functional, and genetic parameters in a well-characterized cohort receiving long-term ERT. The single-center study and relatively small sample size may limit generalizability, while the cross-sectional design precludes assessment of disease progression and the longitudinal effects of therapy. The absence of lung volume and DLCO measurements may have underestimated functional impairment, and the lack of serial HRCT limits assessment of radiological progression.
Acknowledgements
We are grateful to the patients who participated in this study, as well as their families.
Author contributions
S.A.B. conceived the study, contributed to the study design, performed the literature review, collected and analyzed the data, and drafted the manuscript. A.H. performed the cardiac assessments and contributed to data interpretation,and analyzed the data. A.O. conducted pulmonary function test interpretation and contributed to respiratory data analysis, collected and analyzed the data, and drafted the manuscript. A.M.A. interpreted the chest HRCT studies and contributed to radiological data analysis. S.M.E. and T.E. performed the clinical chest and GIT assessments and contributed to the interpretation of respiratory findings. A.M. and T.E. supervised the study, analyzed the data and critically revised the manuscript for important intellectual content. All authors read and approved the final manuscript.
Funding
Open access funding provided by The Science, Technology & Innovation Funding Authority (STDF) in cooperation with The Egyptian Knowledge Bank (EKB). No fund.
Data availability
The datasets generated during and/or analyzed during the current study are available from the corresponding author upon reasonable request.
Declarations
Ethics approval
The study was approved by the Institutional Research Board of the Faculty of Medicine, Mansoura University (MD.24.03.833.R1) and conducted according to the Declaration of Helsinki.
Consent to participate
Written informed consent was obtained from all patients or caregivers before inclusion in the study and after assuring confidentiality.
Consent for publication
Written informed consent for publication of their clinical details and/or clinical images was obtained from the parent or legal guardian of the patients.
Conflict of interest
The authors declare no competing interests.
Declaration of generative AI use
The authors used ChatGPT solely for language editing and rephrasing of author-generated text to improve readability, grammar, clarity, and style. Claude was used to assist in reviewing relevant published literature. All AI-assisted outputs were critically evaluated and independently verified by the authors against the original published sources. The authors take full responsibility for the accuracy, integrity, and final content of the manuscript.
Footnotes
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References
- 1.Méndez-Cobián DA, Guzmán-Silahua S, García-Hernández D, Conde-Sánchez J, Castañeda-Borrayo Y, Duey KL, Zavala-Cerna MG, Rubio-Jurado B, Nava-Zavala AH (2024) An overview of Gaucher disease. Diagnostics (Basel). 14(24) 10.3390/diagnostics14242840 [DOI] [PMC free article] [PubMed]
- 2.Stirnemann J, Belmatoug N, Camou F, Serratrice C, Froissart R, Caillaud C, Levade T, Astudillo L, Serratrice J, Brassier A et al (2017) A review of Gaucher disease pathophysiology, clinical presentation and treatments. Int J Mol Sci. 10.3390/ijms18020441 [DOI] [PMC free article] [PubMed] [Google Scholar]
- 3.Messner MC, Cabot MC (2010) Glucosylceramide in humans. Adv Exp Med Biol. 688:156–64. 10.1007/978-1-4419-6741-1_11 [DOI] [PubMed]
- 4.de Farias LPG, Padilha IG, Dos Santos CJJ, Maranhão CPM, de Miranda C (2017) Pulmonary involvement in Gaucher disease. Radiol Bras.50(6):408–9. 10.1590/0100-3984.2016.0081 [DOI] [PMC free article] [PubMed]
- 5.Gawad Tantawy AA, Moneam Adly AA, Madkour SS, Salah El-Din NY (2020) Pulmonary manifestations in young Gaucher disease patients: phenotype-genotype correlation and radiological findings. Pediatr Pulmonol. 55(2):441–8. 10.1002/ppul.24544 [DOI] [PubMed]
- 6.Ranu H, Wilde M, Madden B (2011) Pulmonary function tests. Ulster Med J 80(2):84–90 [PMC free article] [PubMed] [Google Scholar]
- 7.Sherif EM, Tantawy AA, Adly AA, Kader HA, Ismail EA (2011) D-dimer assay in Egyptian patients with Gaucher disease: correlation with bone and lung involvement. Blood Coagul Fibrinolysis. 22(3):176–84. 10.1097/MBC.0b013e3283424809 [DOI] [PubMed]
- 8.Ramaswami U, Mengel E, Berrah A, AlSayed M, Broomfield A, Donald A, Seif El Dein HM, Freisens S, Hwu WL, Peterschmitt MJ et al (2021) Throwing a spotlight on under-recognized manifestations of Gaucher disease: pulmonary involvement, lymphadenopathy and Gaucheroma. Mol Genet Metab 133(4):335–44. 10.1016/j.ymgme.2021.06.009 [DOI] [PubMed] [Google Scholar]
- 9.Grabowski GA, Kishnani PS, Alcalay RN, Prakalapakorn SG, Rosenbloom BE, Tuason DA, Weinreb NJ (2025) Challenges in Gaucher disease: perspectives from an expert panel. Mol Genet Metab 145(1):109074. 10.1016/j.ymgme.2025.109074 [DOI] [PubMed] [Google Scholar]
- 10.Borie R, Crestani B, Guyard A, Lidove O (2021) Interstitial lung disease in lysosomal storage disorders. Eur Respir Rev. 10.1183/16000617.0363-2020 [DOI] [PMC free article] [PubMed] [Google Scholar]
- 11.Gragnaniello V, Carraro S, Zangardi T, Cazzorla C, Gueraldi D, Burlina AB (2025) Case report: novel treatment approach for severe interstitial lung disease in type 3 Gaucher disease. Front Pediatr 13:1604433. 10.3389/fped.2025.1604433 [DOI] [PMC free article] [PubMed] [Google Scholar]
- 12.Onuki T, Kojima K, Sawano K, Shibata N, Ogawa Y, Hasegawa G, Narita A, Nyuzuki H. (2025) Atypical case of neonatal-onset Gaucher disease type 3b: a case report. Mol Genet Metab Rep. 43:101211. 10.1016/j.ymgmr.2025.101211 [DOI] [PMC free article] [PubMed]
- 13.Dardis A, Michelakakis H, Rozenfeld P, Fumic K, Wagner J, Pavan E, Fuller M, Revel-Vilk S, Hughes D, Cox T et al (2022) Patient centered guidelines for the laboratory diagnosis of Gaucher disease type 1. Orphanet J Rare Dis 17(1):442. 10.1186/s13023-022-02573-6 [DOI] [PMC free article] [PubMed] [Google Scholar]
- 14.Schiffmann R, Sevigny J, Rolfs A, Davies EH, Goker-Alpan O, Abdelwahab M, Vellodi A, Mengel E, Lukina E, Yoo HW et al (2020) The definition of neuronopathic Gaucher disease. J Inherit Metab Dis 43(5):1056–9. 10.1002/jimd.12235 [DOI] [PMC free article] [PubMed] [Google Scholar]
- 15.Tylki-Szymańska A, Vellodi A, El-Beshlawy A, Cole JA, Kolodny E (2010) Neuronopathic Gaucher disease: demographic and clinical features of 131 patients enrolled in the International Collaborative Gaucher Group Neurological Outcomes Subregistry. J Inherit Metab Dis 33(4):339–46. 10.1007/s10545-009-9009-6 [DOI] [PubMed] [Google Scholar]
- 16.Abdelwahab M, Blankenship D, Schiffmann R (2016) Long-term follow-up and sudden unexpected death in Gaucher disease type 3 in Egypt. Neurol Genet. 2(2):e55. 10.1212/nxg.0000000000000055 [DOI] [PMC free article] [PubMed]
- 17.Daykin EC, Ryan E, Sidransky E (2021) Diagnosing neuronopathic Gaucher disease: new considerations and challenges in assigning Gaucher phenotypes. Mol Genet Metab 132(2):49–58. 10.1016/j.ymgme.2021.01.002 [DOI] [PMC free article] [PubMed] [Google Scholar]
- 18.El-Beshlawy A, Tantawy AAG, Shawky RM, Elsayed SM, Marzouk IM, Elgawhary S, Abdelghaffar H, Safy UE, Eid K, Eisayh KI et al (2024) Diagnosis and management of patients with Gaucher disease: an Egyptian expert opinion. Egypt J Med Hum Genet 25(1):88. 10.1186/s43042-024-00552-z [DOI] [Google Scholar]
- 19.Zaidi A, Oxborough D, Augustine DX, Bedair R, Harkness A, Rana B, Robinson S, Badano LP (2020) Echocardiographic assessment of the tricuspid and pulmonary valves: a practical guideline from the British Society of Echocardiography. Echo Res Pract 7(4):G95-g122. 10.1530/erp-20-0033 [DOI] [PMC free article] [PubMed] [Google Scholar]
- 20.Singh Y (2017) Echocardiographic evaluation of hemodynamics in neonates and children. Front Pediatr 5:201. 10.3389/fped.2017.00201 [DOI] [PMC free article] [PubMed] [Google Scholar]
- 21.Forshaw N, Broadhead M, Fenton M (2020) How to interpret a paediatric echocardiography report. BJA Educ 20(8):278–86. 10.1016/j.bjae.2020.03.010 [DOI] [PMC free article] [PubMed] [Google Scholar]
- 22.Kuczmarski RJ, Ogden CL, Guo SS, Grummer-Strawn LM, Flegal KM, Mei Z, Wei R, Curtin LR, Roche AF, Johnson CL (2002) 2000 CDC growth charts for the United States: methods and development. National Center for Health Statistics. Vital Health Stat 11(246):1–190. [PubMed]
- 23.WHO child growth standards based on length/height, weight and age (2006) Acta Paediatr Suppl. 450:76–85. 10.1111/j.1651-2227.2006.tb02378.x [DOI] [PubMed]
- 24.Bailey KV, Ferro-Luzzi A (1995) Use of body mass index of adults in assessing individual and community nutritional status. Bull World Health Organ 73(5):673–680 [PMC free article] [PubMed] [Google Scholar]
- 25.Tang C, Jia X, Tang F, Liu S, Jiang X, Zhao X, Sheng H, Peng M, Liu L, Huang Y (2021) Detection of glucosylsphingosine in dried blood spots for diagnosis of Gaucher disease by LC-MS/MS. Clin Biochem 87:79–84. 10.1016/j.clinbiochem.2020.10.011 [DOI] [PubMed] [Google Scholar]
- 26.Yang X, Wang H, Dong B, Hu B, Hao X, Chen X, Zhao J, Dong Q, Zhu C (2021) Standard liver volume-predicting formulae derived from normal liver volume in children under 18 years of age. Front Pediatr 9:629645. 10.3389/fped.2021.629645 [DOI] [PMC free article] [PubMed] [Google Scholar]
- 27.Yang X, Lee MR, Yang JD (2022) A new formula for estimation of standard liver volume using liver height and thoracic width. Ann Surg Treat Res. 103(1):47–52. 10.4174/astr.2022.103.1.47 [DOI] [PMC free article] [PubMed]
- 28.Prassopoulos P, Cavouras D (1994) CT assessment of normal splenic size in children. Acta Radiol 35(2):152–154 [PubMed] [Google Scholar]
- 29.Yetter EM, Acosta KB, Olson MC, Blundell K (2003) Estimating splenic volume: sonographic measurements correlated with helical CT determination. AJR Am J Roentgenol. 181(6):1615–20. 10.2214/ajr.181.6.1811615 [DOI] [PubMed]
- 30.Kallish S, Kaplan P (2013) A disease severity scoring system for children with type 1 Gaucher disease. Eur J Pediatr 172(1):39–43. 10.1007/s00431-012-1830-5 [DOI] [PubMed] [Google Scholar]
- 31.Weinreb NJ, Cappellini MD, Cox TM, Giannini EH, Grabowski GA, Hwu WL, Mankin H, Martins AM, Sawyer C, vom Dahl S et al (2010) A validated disease severity scoring system for adults with type 1 Gaucher disease. Genet Med 12(1):44–51. 10.1097/GIM.0b013e3181c39194 [DOI] [PubMed] [Google Scholar]
- 32.Davies EH, Surtees R, DeVile C, Schoon I, Vellodi A (2007) A severity scoring tool to assess the neurological features of neuronopathic Gaucher disease. J Inherit Metab Dis. 30(5):768–82. 10.1007/s10545-007-0595-x [DOI] [PubMed]
- 33.Stanojevic S, Kaminsky DA, Miller MR, Thompson B, Aliverti A, Barjaktarevic I, Cooper BG, Culver B, Derom E, Hall GL, et al (2022) ERS/ATS technical standard on interpretive strategies for routine lung function tests. Eur Respir J. 60(1). 10.1183/13993003.01499-2021 [DOI] [PubMed]
- 34.Jat KR (2013) Spirometry in children. Prim Care Respir J. 22(2):221–9. 10.4104/pcrj.2013.00042 [DOI] [PMC free article] [PubMed]
- 35.Karadag DT, Dogan S, Gokcen N, Cagdas OS, Yazici A, Cefle A (2025) Warrick score in rheumatoid-arthritis interstitial lung disease: a promising tool for assessing the extent and progression of lung involvement. Adv Rheumatol. 65(1):5. 10.1186/s42358-025-00435-w [DOI] [PMC free article] [PubMed]
- 36.Warrick JH, Bhalla M, Schabel SI, Silver RM (1991) High resolution computed tomography in early scleroderma lung disease. J Rheumatol 18(10):1520–1528 [PubMed] [Google Scholar]
- 37.Pasricha SR, Rogers L, Branca F, Garcia-Casal MN (2024) Measuring haemoglobin concentration to define anaemia: WHO guidelines. Lancet 403(10440):1963–6. 10.1016/s0140-6736(24)00502-6 [DOI] [PubMed] [Google Scholar]
- 38.Tahmasebi H, Higgins V, Bohn MK, Hall A, Adeli K (2020) CALIPER hematology reference standards (I). Am J Clin Pathol 154(3):330–41. 10.1093/ajcp/aqaa059 [DOI] [PMC free article] [PubMed] [Google Scholar]
- 39.Biino G, Santimone I, Minelli C, Sorice R, Frongia B, Traglia M, Ulivi S, Di Castelnuovo A, Gögele M, Nutile T, et al (2013) Age- and sex-related variations in platelet count in Italy: a proposal of reference ranges based on 40987 subjects’ data. PLoS One. 8(1):e54289. 10.1371/journal.pone.0054289 [DOI] [PMC free article] [PubMed]
- 40.Nalysnyk L, Rotella P, Simeone JC, Hamed A, Weinreb N (2017) Gaucher disease epidemiology and natural history: a comprehensive review of the literature. Hematology (United States) 22(2):65–73. 10.1080/10245332.2016.1240391 [DOI] [PubMed] [Google Scholar]
- 41.Fateen E, Abdallah ZY (2019) Twenty-five years of biochemical diagnosis of Gaucher disease: the Egyptian experience. Heliyon 5(10):e02574. 10.1016/j.heliyon.2019.e02574 [DOI] [PMC free article] [PubMed] [Google Scholar]
- 42.Saleem TH, Hassan MH, Ahmed A-A, Sayed AA, Mohamed NA, Elsayh KI, El-Ebidi AMAA, Mohammed NBB (2017) Clinical and genetic assessment of pediatric patients with Gaucher’s disease in Upper Egypt. Egypt J Med Hum Genet 18(3):249–55. 10.1016/j.ejmhg.2016.08.005 [DOI] [Google Scholar]
- 43.Elmonem MA, Mahmoud IG, Mehaney DA, Sharaf SA, Hassan SA, Orabi A, Salem F, Girgis MY, El-Badawy A, Abdelwahab M et al (2016) Lysosomal storage disorders in Egyptian children. Indian J Pediatr 83(8):805–813. 10.1007/s12098-015-2014-x [DOI] [PubMed] [Google Scholar]
- 44.Giraldo P, Alfonso P, Irún P, Gort L, Chabás A, Vilageliu L, Grinberg D, CM SM, Pocovi M (2012) Mapping the genetic and clinical characteristics of Gaucher disease in the Iberian Peninsula. Orphanet J Rare Dis. 7:17. 10.1186/1750-1172-7-17 [DOI] [PMC free article] [PubMed]
- 45.Khalifa AS, Tantawy AA, Shawky RM, Monir E, Elsayed SM, Fateen E, Cooper A (2011) Outcome of enzyme replacement therapy in children with Gaucher disease: the Egyptian experience. Egypt J Med Hum Genet 12(1):9–14. 10.1016/j.ejmhg.2011.02.008 [DOI] [Google Scholar]
- 46.Santamaria F, Parenti G, Guidi G, Filocamo M, Strisciuglio P, Grillo G, Farina V, Sarnelli P, Rizzolo MG, Rotondo A et al (1998) Pulmonary manifestations of Gaucher disease: an increased risk for L444P homozygotes? Am J Respir Crit Care Med 157(3 Pt 1):985–9. 10.1164/ajrccm.157.3.9706057 [DOI] [PubMed] [Google Scholar]
- 47.Gülhan B, Ozçelik U, Gürakan F, Güçer S, Orhan D, Cinel G, Yalçin E, Ersöz DD, Kiper N, Yüce A, et al (2012) Different features of lung involvement in Niemann-Pick disease and Gaucher disease. Respir Med. 106(9):1278–85. 10.1016/j.rmed.2012.06.014 [DOI] [PubMed]
- 48.Kerem E, Elstein D, Abrahamov A, Bar Ziv Y, Hadas-Halpern I, Melzer E, Cahan C, Branski D, Zimran A (1996) Pulmonary function abnormalities in type I Gaucher disease. Eur Respir J. 9(2):340–5. 10.1183/09031936.96.09020340 [DOI] [PubMed]
- 49.Miller A, Brown LK, Pastores GM, Desnick RJ (2003) Pulmonary involvement in type 1 Gaucher disease: functional and exercise findings in patients with and without clinical interstitial lung disease. Clin Genet 63(5):368–76. 10.1034/j.1399-0004.2003.00060.x [DOI] [PubMed] [Google Scholar]
- 50.Revel-Vilk S, Fuller M, Zimran A (2020) Value of Glucosylsphingosine (Lyso-Gb1) as a biomarker in Gaucher disease: a systematic literature review. Int J Mol Sci. 21(19). 10.3390/ijms21197159 [DOI] [PMC free article] [PubMed]
- 51.Giuffrida G, Markovic U, Condorelli A, Calafiore V, Nicolosi D, Calagna M, Grasso S, Ragusa MTV, Gentile J, Napolitano M (2023) Glucosylsphingosine (Lyso-Gb1) as a reliable biomarker in Gaucher disease: a narrative review. Orphanet J Rare Dis 18(1):27. 10.1186/s13023-023-02623-7 [DOI] [PMC free article] [PubMed] [Google Scholar]
- 52.Faverio P, Stainer A, De Giacomi F, Gasperini S, Motta S, Canonico F, Pieruzzi F, Monzani A, Pesci A, Biondi A (2019) Molecular pathways and respiratory involvement in lysosomal storage diseases. Int J Mol Sci. 20(2). 10.3390/ijms20020327 [DOI] [PMC free article] [PubMed]
- 53.Gumus E, Karhan AN, Hizarcioglu-Gulsen H, Demir H, Ozen H, Saltik Temizel IN, Dokmeci Emre S, Yuce A (2021) Clinical-genetic characteristics and treatment outcomes of Turkish children with Gaucher disease type 1 and type 3: a sixteen year single-center experience. Eur J Med Genet 64(11):104339. 10.1016/j.ejmg.2021.104339 [DOI] [PubMed] [Google Scholar]
- 54.Serratrice C, Carballo S, Serratrice J, Stirnemann J (2016) Imiglucerase in the management of Gaucher disease type 1: an evidence-based review of its place in therapy. Core Evid 11:37–47. 10.2147/ce.S93717 [DOI] [PMC free article] [PubMed] [Google Scholar]
- 55.Weinreb NJ, Goldblatt J, Villalobos J, Charrow J, Cole JA, Kerstenetzky M, vom Dahl S, Hollak C (2013) Long-term clinical outcomes in type 1 Gaucher disease following 10 years of imiglucerase treatment. J Inherit Metab Dis 36(3):543–53. 10.1007/s10545-012-9528-4 [DOI] [PMC free article] [PubMed] [Google Scholar]
- 56.Altarescu G, Hill S, Wiggs E, Jeffries N, Kreps C, Parker CC, Brady RO, Barton NW, Schiffmann R (2001) The efficacy of enzyme replacement therapy in patients with chronic neuronopathic Gaucher’s disease. J Pediatr 138(4):539–47. 10.1067/mpd.2001.112171 [DOI] [PubMed] [Google Scholar]
- 57.Lo SM, Liu J, Chen F, Pastores GM, Knowles J, Boxer M, Aleck K, Mistry PK (2011) Pulmonary vascular disease in Gaucher disease: clinical spectrum, determinants of phenotype and long-term outcomes of therapy. J Inherit Metab Dis 34(3):643–650. 10.1007/s10545-011-9313-9 [DOI] [PMC free article] [PubMed] [Google Scholar]
- 58.Goitein O, Elstein D, Abrahamov A, Hadas-Halpern I, Melzer E, Kerem E, Zimran A (2001) Lung involvement and enzyme replacement therapy in Gaucher’s disease. Qjm. 94(8):407–15. 10.1093/qjmed/94.8.407 [DOI] [PubMed]
Associated Data
This section collects any data citations, data availability statements, or supplementary materials included in this article.
Data Availability Statement
The datasets generated during and/or analyzed during the current study are available from the corresponding author upon reasonable request.
