| Literature DB >> 35711415 |
Silene M Silvera-Ruiz1,2, Corinne Gemperle3, Natalia Peano4, Valentina Olivero4, Adriana Becerra5, Johannes Häberle3, Adriana Gruppi1, Laura E Larovere2,6, Ruben D Motrich1.
Abstract
The hyperornithinemia-hyperammonemia-homocitrullinuria (HHH) syndrome is a rare autosomal recessive inborn error of the urea cycle caused by mutations in the SLC25A15 gene. Besides the well-known metabolic complications, patients often present intercurrent infections associated with acute hyperammonemia and metabolic decompensation. However, it is currently unknown whether intercurrent infections are associated with immunological alterations besides the known metabolic imbalances. Herein, we describe the case of a 3-years-old girl affected by the HHH syndrome caused by two novel SLC25A15 gene mutations associated with immune phenotypic and functional alterations. She was admitted to the hospital with an episode of recurrent otitis, somnolence, confusion, and lethargy. Laboratory tests revealed severe hyperammonemia, elevated serum levels of liver transaminases, hemostasis alterations, hyperglutaminemia and strikingly increased orotic aciduria. Noteworthy, serum protein electrophoresis showed a reduction in the gamma globulin fraction. Direct sequencing of the SLC25A15 gene revealed two heterozygous non-conservative substitutions in the exon 5: c.649G>A (p.Gly217Arg) and c.706A>G (p.Arg236Gly). In silico analysis indicated that both mutations significantly impair protein structure and function and are consistent with the patient clinical status confirming the diagnosis of HHH syndrome. In addition, the immune analysis revealed reduced levels of serum IgG and striking phenotypic and functional alterations in the T and B cell immune compartments. Our study has identified two non-previously described mutations in the SLC25A15 gene underlying the HHH syndrome. Moreover, we are reporting for the first time functional and phenotypic immunologic alterations in this rare inborn error of metabolism that would render the patient immunocompromised and might be related to the high frequency of intercurrent infections observed in patients bearing urea cycle disorders. Our results point out the importance of a comprehensive analysis to gain further insights into the underlying pathophysiology of the disease that would allow better patient care and quality of life.Entities:
Keywords: B cells; HHH syndrome; T cells; case report; hyperammonemia; immunodeficiency; infection; urea cycle defects
Mesh:
Substances:
Year: 2022 PMID: 35711415 PMCID: PMC9196877 DOI: 10.3389/fimmu.2022.861516
Source DB: PubMed Journal: Front Immunol ISSN: 1664-3224 Impact factor: 8.786
Laboratory findings in a patient with HHH syndrome.
| At admission | At relapse (18 months later) | Reference values* | ||
|---|---|---|---|---|
| Plasma ammonia (μmol/L) | ≤ 40 | |||
| Plasma aminoacids | Citrulline | 33 | – | 0-50 |
| (μmol/L) | Ornithine | 113 | 0-250 | |
| Ornithine/citrulline ratio | 3.5 | – | 1.5-20.0 | |
| Arginine | 31 | – | 0-100 | |
| Glutamine | 333-809 | |||
| Glutamic acid | 238 | 142 | 0-600 | |
| Metabolite urinary excretion | Orotic acid (μmol/mmol creatinine) | – | < 10.0 | |
| Liver enzymes | aspartate aminotransferase (AST) | 5-25 | ||
| (U/L) | alanine aminotransferase (ALT) | 3-25 | ||
| alkaline phosphatase (ALP) | 303 | 70-448 | ||
| gamma glutamyl transferase (GGT) | 30 | 14 | 5-39 | |
| Hemostasis | Prothrombin activity (%) | – | 80-100 | |
| aPTT (seg) | – | 28-46 | ||
| Blood cytology | Red blood cell count (x 106/μL) | 4.51 | 4.85 | 4.00-5.20 |
| Hematocrit (%) | 38.5 | 38.5 | 33.0-42.5 | |
| Hemoglobin (g/dL) | 12.1 | 12.3 | 11.0-14.2 | |
| Leukocyte cell count (x 103/μL) | 9.54 | 11.87 | 5.50-15.50 | |
| Neutrophils [/μL, (%)] | 3530 (37) | 2968 ( | 1500-7300 (27-50) | |
| Eosinophils [/μL, (%)] | 191 (2) | 237 (2) | 0-500 (0-3) | |
| Basophils [/μL, (%)] | 0 (0) | 0 (0) | 0-100 (0-2) | |
| Lymphocytes [/μL, (%)] | 4293 ( | 7834 ( | 2300-8000 (50-56) | |
| Monocytes [/μL, (%)] | 356 (3) | 0-900 (0-5) | ||
| Atypical lymphocytes [/μL, (%)] | 0-100 (0-1) | |||
| Lymphocyte subsets | NK cells [/μL, (%)] | – | 260 ( | 246-461 (6.0-14.0) |
| (flow cytometry) | B cells [/μL, (%)] | – | 671 ( | 411-685 (11.0-18.0) |
| T cells [/μL, (%)] | – | 2054-3169 (67.0-75.0) | ||
| CD4+ T cells [/μL, (%)] | – | 1129-1581 (33.0-43.5) | ||
| CD8+ T cells [/μL, (%)] | – | 711-1121 (22.5-29.5) | ||
| CD4:CD8 | – | 1.12-1.93 | ||
| Serum protein | Total proteins (g/dL) | 6.62 | 6.4-8.3 | |
| electrophoresis | Albumin [g/dL, (%)] | 3.89 (61.8) | 4.03 (60.9) | 3.85-4.83 (55.0-69.0) |
| Alpha-1 globulin [g/dL, (%)] | 0.27 (4.3) | 0.17 (2.5) | 0.07-0.42 (1.0-6.0) | |
| Alpha-2 globulin [g/dL, (%)] | 0.74 (11.8) | 0.77 (11.7) | 0.42-0.84 (6.0-12.0) | |
| Beta-1 globulin [g/dL, (%)] | 0.44 (7.0) | 0.71 (10.7) | 0.42-0.84 (6.0-12.0) | |
| Beta-2 globulin [g/dL, (%)] | 0.33 (5.3) | 0.19 (2.8) | 0.07-0.21 (1.0-3.0) | |
| Gamma globulin [g/dL, (%)] | 0.77-1.26 (11.0-18.00) | |||
| Albumin/Globulin | 1.62 | 1.56 | 1.00-2.00 | |
| Serum | IgM (mg/dL) | 38-90 | ||
| immunoglobulins | IgG (mg/dL) | 701-1157 | ||
| IgE (UI/mL) | 32 | 17 | < 90 | |
| IgA (mg/dL) | 112 | 80 | 66-120 | |
*Reference normal values according to patient age and sex currently established and used in the local setting (Hospital de Pediatría Dr. Juan P. Garrahan, Buenos Aires, Argentina).
Bold values mean abnormal or out of the reference range values.
Figure 1In silico analysis of c.649G>A (p.Gly217Arg) and c.706A>G (p.Arg236Gly) mutations on the ORC1 protein structure and function. (A) Partial electropherograms showing the detected mutations. Multiple alignment of the modified ORC1 aminoacid residues with the protein sequence from different species using the Clustal W2 software. (B) In silico validation of the two SLC25A15 gene mutations identified. (C) Modeling of the tridimensional protein structural changes introduced by the two identified mutations using the human ORC1 homology model. Normal residues are marked in blue (top) and the changes introduced by mutations in red (bottom).
Figure 2Functional analysis of cellular adaptive immune compartment. (A) Lymphoproliferative responses of peripheral blood mononuclear cells (PBMC) from the patient (P) and control (C) individuals to different mitogenic stimuli [concanavalin A (Con A), phytohemagglutinin (PHA), Pokeweed (PKW), candidin, and antigens of Mycobacterium tuberculosis or Trychophyton spp.] or medium alone (mock). Cells were cultured (3.0x105/well) in quadruplicate for each condition and incubated for 96 h at 37°C/5% CO2 as previously described (33). During the last 18 h of culture, wells were pulsed with 1 µCi of [methyl-3H] thymidine in fresh medium. Cells were harvested onto glass fiber filters and labeled material was counted in a β scintillation counter. Results were expressed as counts per minute (cpm). (B) IFNγ, IL-17A, TNF-α and IL-10 concentrations in PBMCs culture supernatants determined by sandwich ELISA and results expressed as pg/ml. Experiments were performed at least in quadruplicate and repeated twice with similar results. Data are shown as mean ± SEM, the patient and sex and age-matched control individuals (n=6 healthy females, aged 3-7 years old). Red bars correspond to the average values of the patient and white bars correspond to the average values of the controls analyzed. Mann-Whitney test; *p< 0.05, **p< 0.01 and ***p< 0.005.
Figure 3Phenotypic analysis of T and B cells. (A) Flow cytometry gating strategy for the assessment of phenotypic cell markers in live CD4 and CD8 T cells, and B cells from PBMC after red blood cell depletion by lysing buffer treatment. (B, C) Frequencies of naïve T cells, central memory (CM), effector memory (EM), and terminally differentiated effector memory cells (TEMRA) within the CD4+ (B) or CD8+ (C) T cell populations from the patient (P) under study and controls (C). (D) Frequencies of mature, immature and memory B cells, and plasmablasts in peripheral blood from the patient (P) under study and controls (C). Representative flow cytometry dot plots. Experiments were performed in triplicates. Data are shown as mean ± SEM, the patient and sex and age-matched control individuals (n=6 healthy females, aged 3-7 years old). Red bars correspond to the average values of the patient and white bars correspond to the average values of the controls analyzed. Mann-Whitney test; *p< 0.05 and **p< 0.01. The following fluorescent-labeled anti-human antibodies (BioLegend) were used: CD3 (PerCP), CD4 (APC), CD19 (APC), CD45RA (PE-Cy7), CCR7 (PE), CD24 (FITC) and CD38 (PE). Dead cells were excluded using LIVE-DEAD™ fixable (Invitrogen). Data were collected on FACS-CANTO II flow cytometer (BD Biosciences) and analyzed using FlowJo software (version 7.6.2). Proper compensation using Fluorescence Minus One (FMO) controls were used.