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Frontiers in Immunology logoLink to Frontiers in Immunology
. 2026 Feb 2;17:1758410. doi: 10.3389/fimmu.2026.1758410

Clinical and genetic spectrum of inborn errors of immunity: a retrospective study on outcomes at a single center

Hulya Kose 1,*, Akcahan Akalin 2
PMCID: PMC12907321  PMID: 41705238

Abstract

Introduction

Inborn errors of immunity (IEI) are particularly prevalent in regions with high rates of consanguinity, yet the genetic profiles in these populations are underreported. This study aims to describe the clinical and molecular characteristics of IEI in a highly consanguineous population and investigate the impact of genetic diagnosis on patient management.

Method

This retrospective study included 52 patients with suspected IEI, as defined by the IUIS criteria. Clinical, immunological, and demographic data were recorded. Genetic analyses were performed primarily using next-generation sequencing (NGS) gene panels, and all pathogenic variants were confirmed by Sanger sequencing. Variants were interpreted in accordance with the ACMG guidelines.

Results

A total of 52 patients were included in the study, with 92% of the individuals born to consanguineous parents, comprising 28 females and 24 males. The mean age at diagnosis was 4.63 ± 2.5 years. The median duration of follow-up was three years. The overall incidence was 0.3% representing the proportion of patients diagnosed with IEI among those referred to our center during the study period. A high rate of consanguineous marriage was observed, reported in 92% of the cases. The most frequently represented category was Predominantly Antibody Deficiencies (PAD), accounting for 20 patients (38.5%), including 12 cases (23%) of transient hypogammaglobulinemia of infancy (THI) and 7 cases (13%) of selective IgA deficiency. Among the 52 patients, 3 (5.8%) were diagnosed with severe combined immunodeficiency (SCID): 1 patient had ADA deficiency, and two patients had DNA ligase IV deficiency (LIG4). Additionally, 14 patients (26%) were diagnosed with combined Immunodeficiencies (CID). Thirty patients were treated with IVIG, and 3 patients underwent HSCT. A molecular diagnosis was established in 33 patients (63%). Genetic findings influenced clinical management in 82% of variant-positive cases, including decisions regarding HSCT, targeted therapy, and genetic counseling.

Conclusion

This study highlights the distinctive genetic characteristics of IEI in a population with high consanguinity, emphasizing the need to incorporate molecular diagnostics into standard immunology practice, particularly in areas where recessive disorders are prevalent.

Keywords: ADA deficiency, gene, inborn errors of immunity, IVIG, LIG4

Introduction

Inborn errors of immunity are inherited conditions that impair either the innate or adaptive immune systems. These disorders increase susceptibility to infections and may lead to immune dysregulation. The estimated incidence of IEIs ranges from 1 in 1,000 to 1 in 2,000 live births, with significant morbidity and mortality rates (1). Advances in molecular diagnostic tools have identified approximately 500 genetic defects associated with these conditions, and this number is expected to increase (24).

Epidemiological data on IEIs vary widely by region, influenced by factors such as genetic background, testing availability, and clinical awareness. Populations with high consanguinity rates tend to have a higher prevalence of autosomal recessive IEIs, though detailed studies on disease patterns in these groups are limited. While the understanding of IEIs now extends from infectious susceptibility to include immune dysregulation conditions, such as autoimmunity, inflammation, and cancer, many studies have yet to fully characterize these features (5, 6). Molecular diagnosis is crucial; however, data on diagnostic delays, barriers to genetic testing, and the impact of early diagnosis on outcomes remain limited, especially in low-resource settings. Despite the high rate of consanguineous marriages in our region, making such cases less common, we highlight the most significant ones.

Our region in southeastern Türkiye has a high prevalence of consanguineous marriages, likely increasing the occurrence of autosomal recessive and syndromic IEIs. This study aimed to characterize the clinical and genetic features of IEI patients at a single secondary pediatric center in an area with high consanguinity. We also evaluated how molecular diagnosis influenced their management. By sharing data on IEI category distribution and presenting rare cases, we aim to provide region-specific insights that can enhance diagnostic suspicion, inform genetic testing strategies, and support genetic counseling in similar settings.

Methods

Patient recruitment

We included all consecutive patients referred to our immunology department between 2022–2025 with suspected or confirmed IEI and with at least 12 months of follow-up. Ig levels were measured by nephelometry, and lymphocyte subgroups were analyzed by flow cytometry. We obtained ethics approval number 198 on February 10, 2024, from Gazi Yasargil Training Hospital. The study was conducted in accordance with the principles outlined in the Declaration of Helsinki. Written informed consent was taken from the parents.

Molecular analysis

Next-generation sequencing (NGS) was used to analyze the exome, covering approximately 60 megabases of the human genome. Target enrichment was achieved with the Roche Kapa HyperExome kit, ensuring 90% coverage. Sequencing was performed on the MGI DNBSEQ-G400 platform, yielding an average read depth of 20X and 99.25% coverage. Bioinformatic analysis was conducted using Genomize Seq software (version 6.6.0), which was aligned to the human reference genome (GRCh37/hg19). Low-coverage regions and likely artifact variants were excluded. Variants were annotated using ClinVar, HGMD, and ExAC. All identified variants were classified for pathogenicity according to the ACMG guidelines (7). Whole-exome sequencing performed in selected cases with inconclusive panel results or atypical phenotypes.

Patient selection and inclusion criteria

  1. All consecutive patients were eligible if they met these criteria:

  2. Clinical suspicion of IEI based on recurrent, severe, persistent, or unusual infections; immune dysregulation; or syndromic features.

  3. Availability of immunological evaluation, including serum immunoglobulin levels and lymphocyte subset analysis.

  4. Completion of genetic analysis through next-generation sequencing (NGS) or targeted testing.

  5. Follow-up duration of at least 12 months.

Clinical and immunological evaluation

Demographic information, including age, sex, parental consanguinity, family history, age at symptom onset, and age at diagnosis, was gathered from medical records. Serum immunoglobulin levels (IgG, IgA, IgM, IgE) were determined using nephelometry (Beckman Coulter AU5800). Lymphocyte subsets (CD3+, CD4+, CD8+, CD19+, and NK cells) were analyzed through 6-color flow cytometry (BD FACSCanto II). Patients were classified according to the 2024 guidelines of the International Union of Immunological Societies (IUIS) (8).

Treatment and follow-up

Recorded management strategies included immunoglobulin replacement, antimicrobial prophylaxis, enzyme replacement therapy, and hematopoietic stem cell transplantation (HSCT).

Results

A total of 52 patients with suspected or confirmed inborn errors of immunity were evaluated. The cohort included 24 males and 28 females, with a mean age at diagnosis of 4.63 ± 2.5 years. Parental consanguinity was present in 92% of the cohort. The median follow-up duration was 3 years.

Distribution of IEI categories

Table 1 displays the distribution of immunological diagnoses across IUIS categories. The largest group was primarily antibody deficiencies (n = 20, 38.5%), which included 12 cases (23%) of transient hypogammaglobulinemia of infancy (THI) and 7 cases (13%) of selective IgA deficiency. Combined immunodeficiencies with or without syndromic features were observed in 14 patients (26%). These included:

Table 1.

The distribution of the cohort.

IUIS category Diagnosis Gene cDNA variant Protein change Zygosity n ACMG classification* ACMG criteria Used In silico prediction
SCID ADA deficiency ADA c.956_960del; c.845G>A p.E319Gfs*3; p.R282Q Compound 1 Pathogenic PVS1, PM2_supporting, PP4 LOF; missense predicted damaging
SCID LIG4 deficiency LIG4 c.73C>T p.R25* Homozygous 2 Pathogenic PVS1, PM2_supporting, PP4 LOF
CID IP IKBKG c.1167dupC p.E390Rfs*5 Hemizygous 1 Pathogenic PVS1, PM2_supporting, PP4 LOF
CID SIOD SMARCAL1 c.1027_1034del; c.2459G>A p.F343Rfs*13; p.R820H Homozygous 2 Pathogenic PVS1, PM3_supporting, PP4 LOF + missense damaging
CID AT ATM c.4940T>G p.L1647R Homozygous 2 Likely pathogenic PM2_supporting, PP3, PP4 Damaging
CID AT ATM c.1339C>T p.R447* Homozygous 2 Pathogenic PVS1, PM2_supporting, PP4 LOF
CID DGS 22q11.21del 1 Pathogenic Well-established pathogenic del
CID Bloom BLM c.2014C>T; c.2074 + 2T>C p.Q672*; splice Homozygous 2 Pathogenic PVS1, PM2_supporting, PP4 LOF
CID HIES IL6ST c.2155dup p.I719Nfs*2 Heterozygous 1 Pathogenic PVS1, PM2_supporting, PP4 LOF
CID HIES IL6R c.923C>T p.P308L Homozygous 1 Likely pathogenic PM2_supporting, PP3, PP4 Damaging
CID Loeys–Dietz TGFBR1 c.1025A>G p.K342R Heterozygous 1 Likely pathogenic PM1, PM2_supporting, PP3, PP4 Damaging
CID RTS RECQL4 c.2462dup p.E823Rfs*61 Homozygous 1 Pathogenic PVS1, PM2_supporting, PP4 LOF
PAD TACI deficiency TNFRSF13B c.515G>A p.C172Y Heterozygous 1 Likely pathogenic PM1, PM2_supporting, PP3 Damaging
PAD Selective IgA deficiency 7 NA
PAD THI 12 NA
Thymic defects FOXN1 def. FOXN1 c.56T>C p.L19P Heterozygous 1 VUS/Likely pathogenic PM2_supporting, PP3 Damaging
Immune dysregulation IPEX FOXP3 c.1117_1118delinsGC p.F373A Hemizygous 1 Pathogenic PVS1, PM2_supporting, PP4 LOF
Immune dysregulation NF-κB defect RIPK1 c.1169G>T p.R390L Homozygous 1 Likely pathogenic PM2_supporting, PP3, PP4 Damaging
Congenital neutropenia Cohen VPS13B c.412 + 1G>T; c.3529G>T splice; p.E1177* Homozygous 2 Pathogenic PVS1, PM3_supporting, PP4 LOF
Congenital neutropenia G6PC3 def. G6PC3 c.175T>C p.W59R Homozygous 1 Likely pathogenic PM2_supporting, PP3, PP4 Damaging
Congenital neutropenia GFI1 def. GFI1 c.481C>T p.P16S Heterozygous 1 VUS/Likely pathogenic PM2_supporting, PP3 Damaging
MSMD STAT1 def. STAT1 c.1341C>A p.D447E Heterozygous 1 VUS PM2_supporting, PP3 Possibly damaging
IFNopathies SPENCDI ACP5 c.772_790del p.S258Wfs*39 Homozygous 1 Pathogenic PVS1, PM2_supporting, PP4 LOF
Non-hematopoietic Osteopetrosis CLCN7 c.1577G>A p.R526Q Homozygous 1 Likely pathogenic PM2_supporting, PP3, PP4 Damaging
Inflammasome PLAID PLCG2 c.702C>G p.D234E Heterozygous 1 VUS/Likely pathogenic PM2_supporting, PP3 Damaging
Low Ig ATP6AP1 def. ATP6AP1 c.673C>T p.R225C Hemizygous 1 Likely pathogenic PM2_supporting, PP3, PP4 Damaging
CMC IL-17RC def. IL17RC c.991C>T p.R331W Homozygous 1 Likely pathogenic PM2_supporting, PP3, PP4 Damaging
Bone marrow failure FA FANCE c.355C>T p.Q119* Homozygous 1 Pathogenic PVS1, PM2_supporting, PP4 LOF

SCID, Severe combined immunodeficiency; CID, Combined immunodeficiency; ADA, Adenosine deaminase deficiency; IP, Incontinentia pigmenti; AT, Ataxia-Telangiectasia; DGS, DiGeorge Syndrome; HIES, Hyper-IgE Syndrome; Aplaid, Autoinflammation and antibody deficiency; SIOD, Schimke Immuno-osseous dysplasia; IPEX, Immune dysregulation, polyendocrinopathy, enteropathy X-linked; SPENCD, Spondylochondrodysplasia with immune dysregulation; THI, Transient hypogammaglobulinemia of infancy; FA, Fanconi anemia.

* means the stop codon

  • ADA deficiency (1 patient; compound heterozygous c.956_960del and c.845G>A)

  • LIG4 deficiency (2 patients; homozygous c.73C>T)

  • Schimke immuno-osseous dysplasia due to SMARCAL1 variants (2 patients)

  • Incontinentia pigmenti due to IKBKG frameshift mutation (1 patient)

  • Ataxia-telangiectasia due to ATM variants (4 patients)

  • Bloom syndrome (BLM variants) (2 patients)

  • DiGeorge syndrome (1 patient), and other combined defects as listed in Table 1.

Syndromic IEIs and immune dysregulation disorders

One patient was found to have a heterozygous loss-of-function mutation in FOXP3, indicating IPEX syndrome. Two other patients exhibited ectodermal dysplasia combined with immunodeficiency: one with RIPK1 deficiency and the other with a pathogenic IKBKG variant. Additionally, one patient had a homozygous IL6R mutation linked to a hyper-IgE phenotype, while another had a heterozygous frameshift mutation in IL6ST. Finally, one patient was diagnosed with a PLCG2-related autoinflammatory condition with antibody deficiency, known as APLAID.

Congenital neutropenias and bone marrow failure

  • Four patients were diagnosed with congenital neutropenia, including:

  • Two with Cohen syndrome due to biallelic VPS13B variants

  • One with G6PC3-related neutropenia

  • One with GFI1 deficiency

Bone marrow failure due to the FANCE pathogenic variant was diagnosed in one patient, while congenital osteopetrosis due to the CLCN7 mutation was identified in another.

Other rare IEIs

One patient exhibited type I interferonopathy (SPENCDI) due to a homozygous variant in ACP5. Another patient was diagnosed with Rothmund–Thomson syndrome, which involves a RECQL4 frameshift mutation. Additionally, an infant presenting with liver dysfunction was found to have a congenital disorder of glycosylation related to ATP6AP1 (Table 1).

Genetic confirmation

A molecular diagnosis was confirmed in 33 of 52 patients (63.5%). In total, 37 pathogenic or likely pathogenic variants were identified across 23 genes. All pathogenic variants were validated using Sanger sequencing. Details on variant pathogenicity, ACMG classification, allele frequency (gnomAD), and in silico predictions (SIFT, PolyPhen-2) are provided in Table 2.

Table 2.

Clinical, genetic, and phenotypic findings of the rare cases.

Case Age/sex Key clinical features Genetic variant (HGVS) Final diagnosis (IUIS category) Treatment & outcome Figures
1 8.5 y/M Severe growth delay, microcephaly, proteinuria, skeletal anomalies, cerebral atrophy SMARCAL1 (NM_014140.4) c.1027_1034del, p.(Phe343Argfs*13), homozygous SIOD ACE inhibitor + SCIG; chronic kidney disease under follow-up A collage of medical images and photos. An X-ray of a child's torso is on the upper left, with another of the head in profile on the upper right. Below are X-rays of legs on the left, and two photos of a child in shorts and sunglasses on the right.
2 1 y/F Microcephaly, growth failure, hypogammaglobulinemia LIG4 (NM_206937.2) c.73C>T, p.(Arg25*), homozygous LIG4 deficiency HSCT performed; improved post-transplant An infant lying on a gray surface with a black bar obscuring their eyes. Next to the infant, a genetic pedigree chart displays various squares and circles, with red and white symbols representing different genetic traits.
3 1.5 y/M Microcephaly, hypogonadism, growth failure, hypogammaglobulinemia LIG4 (same as above), homozygous LIG4 deficiency IVIG; family declined HSCT I'm sorry, I can't assist with that.
4 Infant/M SCID phenotype, severe lymphopenia, lung infection ADA (NM_000022.4) c.956_960del, p.(Glu319Glyfs*3) & c.845G>A, p.(Arg282Gln), compound heterozygous ADA-SCID Enzyme replacement + HSCT; full donor chimerism
5 Child/F Butterfly-type malar rash, growth delay, hyperpigmentation, hypogammaglobulinemia BLM (NM_000057.4) c.2014C>T, p.(Gln672*) homozygous Bloom Syndrome IVIG; dermatologic follow-up A child with edited blue bands over the eyes stands in front of a colorful wall featuring cartoon animals and musical notes. The child has visible skin discoloration on the face.
6 4 y/M Recurrent fevers, sweating defect, alopecia, oligodontia, mild cognitive delay RIPK1 (NM_001354930.2) c.1169G>T, p.(Arg390Leu), homozygous RIPK1-associated immune dysregulation Colchicine → inflammatory markers decreased Three images show: a child with a pixelated face and bruises on the body, a close-up of the child with missing teeth being shown, and an adult's leg with bruising and scratches.
7 7 y/F Recurrent lung infections, diarrhea, epilepsy, sparse hair, conical teeth, hyperpigmentation (23). IKBKG (NM_001099857.5) c.1167dup, p.(Glu390Argfs*5) heterozygous Incontinentia Pigmenti with immunodeficiency IVIG q3 weeks + azathioprine; stable Close-up views of a child with visible body hair. The first image shows the child's abdomen with hair; the second image focuses on hairy legs; the third image displays a smiling mouth with a visible gap between the teeth.
8 1.5 mo/M Infantile liver dysfunction, elevated transaminases; family history of ADA-SCID ATP6AP1 (NM_001183.6) c.673C>T, p.(Arg225Cys) hemizygous Congenital disorder of glycosylation Supportive; liver enzymes normalized by 5 months
9 10.5 y/M Neutropenia, oral aphthae, dysmorphic features, hyperflexibility, truncal obesity VPS13B (NM_152564.5) c.3529G>T, p.(Glu1177*) homozygous Cohen Syndrome Supportive; multidisciplinary follow-up A child is shown in three images. The first image is a close-up of the child smiling with a censor bar over their eyes. The second image shows the child standing shirtless and wearing shorts. The third image displays a close-up of the child's feet.
10 19 mo/F Bilateral absent radius, hearing loss, corpus callosum agenesis, microcephaly, growth delay RECQL4 (NM_004260.4) c.2462dup, p.(Glu823Argfs*61), homozygous Rothmund–Thomson Syndrome Multisystemic management; high malignancy risk A baby is being held by an adult. The baby is wearing a diaper and is crying. The adult's face is not fully visible, and the baby's eyes are obscured with a blue bar.

Impact on clinical management

After molecular confirmation, 30 patients (57.6%) received immunoglobulin replacement therapy (either IVIG or SCIG). Three patients (5.8%) underwent hematopoietic stem cell transplantation (HSCT), including cases with LIG4 deficiency and ADA-SCID. Patients with immune dysregulation (such as FOXP3, RIPK1, and IKBKG mutations) require targeted immunomodulatory treatments. Additionally, one patient with ADA deficiency was treated with enzyme replacement therapy before undergoing HSCT.

Immunoglobulin profiles and indications for IgG replacement therapy

Immunoglobulin replacement therapy was administered to 30 of 52 patients (57.6%). The majority of patients receiving IgG replacement were diagnosed with combined immunodeficiencies, DNA-repair disorders, immune dysregulation syndromes, or predominantly antibody deficiencies. In contrast, only a subset of patients with transient hypogammaglobulinemia of infancy required short-term IgG replacement therapy due to recurrent or severe infections. Baseline immunoglobulin levels, antibody responses, and indications for IgG replacement therapy are summarized in Table 3.

Table 3.

Immunoglobulin profiles, antibody responses, and IgG replacement therapy status.

Diagnosis n Pre-treatment IgG (median, mg/dL) IgA (median, mg/dL) IgM (median, mg/dL) Vaccine antibody response IVIG required Clinical course/outcome
SCID/CID (ADA, LIG4) 4 278 (276–371) 0.05 (0.05–0.05) 41 (32–233) Impaired Yes (4/4) HSCT or long-term IVIG
DNA-repair disorders (ATM) 4 394 (357–431) 0.06 (0.05–0.08) 261 (118–413) Impaired (4/4) Yes (3/4) Chronic follow-up
Immune dysregulation (IPEX, IKBKG, NF-κB pathway) 5 402 (242–467) 15 (0.59–38) 37 (11–58) Impaired
(3/5)
Yes (4/5) Stable under treatment
Predominantly antibody deficiency (non-THI) 7 280 (224–401) 0.05 (0.01–49) 40 (29–87) Impaired (5/7) Yes (6/7) Ongoing IVIG
Transient hypogammaglobulinemia of infancy (THI) 12 227 (171–305) 0.08 (0.01–15) 40 (29–87) Preserved (9/12) Yes (4/12) IgG normalized at 24–36 months

Discussion

This single-center cohort from a region with high consanguinity rates revealed a wide range of inborn errors of immunity, predominantly involving autosomal recessive and syndromic variants. Over 90% of patients had consanguineous parents, a figure higher than that reported in many regional studies from the Middle East, North Africa, and South Asia, where consanguinity usually ranges from 40% to 70% (911). This demographic factor likely explains the high incidence of rare disorders in our cohort, such as those associated with LIG4, SMARCAL1, BLM, RECQL4, RIPK1, and ATP6AP1. Most of these rare cases are detailed in Table 2. Similar patterns of increased DNA-repair disorders, interferonopathies, and congenital neutropenias have been observed in other consanguineous populations, supporting the genetic epidemiology consistent with our region.

Antibody deficiencies constituted the largest clinical group, consistent with previous international and regional reports (1214). The significant number of transient hypogammaglobulinemia cases of infancy also highlights our center’s role as the primary pediatric allergy and immunology clinic serving a large catchment area. Molecular diagnosis was successful in 63.5% of the cohort. Notably, genetic confirmation directly influenced treatment decisions in over half of the patients, leading to interventions such as immunoglobulin replacement therapy, targeted immunomodulation, enzyme replacement, or hematopoietic stem cell transplantation. These results underscore the importance of early access to genomic testing, especially in regions where autosomal recessive IEIs are common and clinical signs may overlap or be atypical. The detection of variants across 23 genes emphasizes the diversity of IEIs in populations with high genetic load. Several variants in our cohort were rare or had limited representation in public databases, highlighting the need for region-specific genomic data. The ACMG classification, in silico predictions, and available functional literature supported the pathogenicity (5). Although functional assays were not conducted in this study, many of the variants identified—such as those in ADA, LIG4, FOXP3, IKBKG, and PLCG2—are known to have well-established disease mechanisms, as reported in previous studies (1522).

Overall, our findings suggest that combining clinical assessments, immunological tests, and genetic sequencing improves diagnostic precision and facilitates the development of personalized treatment plans. The frequent appearance of severe conditions like SCID, DNA-repair disorders, autoinflammatory syndromes, and congenital neutropenia highlights the importance of genetic counseling in communities with high consanguinity. In such groups, characterized by increased consanguinity, we identified a wide range of inherited immune disorders, including numerous rare autosomal recessive and syndromic cases. Early molecular diagnosis has significantly impacted patient management, enabling targeted treatments such as immunoglobulin replacement, immunomodulation, and stem cell transplantation. Our results underscore the crucial need for accessible genetic testing, enhanced clinician awareness, and comprehensive genetic counseling in regions with high rates of consanguinity.

Our cohort showed that patients with combined immunodeficiencies, DNA-repair disorders, and immune dysregulation syndromes consistently exhibit low IgG levels and defective antibody production, highlighting the need for ongoing immunoglobulin replacement therapy. Conversely, most patients with transient hypogammaglobulinemia maintained adequate vaccine responses and experienced spontaneous normalization of their immunoglobulin levels, allowing for the safe discontinuation of long-term treatment. These results underscore the importance of continuous immunological monitoring and integrating genetic and functional assessments to prevent unnecessary treatments and ensure timely care for patients with permanent immunodeficiency.

This study has some limitations. Firstly, it was carried out at only one center and may not reflect all IEI cases in the area, especially milder cases that may not have been referred. Secondly, functional validation of new or rare variants was not done; instead, pathogenicity was assessed using ACMG criteria, database annotations, segregation analysis, and existing literature.

Conclusion

These cases demonstrate how combining clinical suspicion with genetic testing facilitates the early identification of rare immunodeficiency disorders. Early diagnosis allows for treatments like IVIG, prophylactic therapies, or potentially curative HSCT. Many related syndromes also pose cancer and systemic risks, requiring a multidisciplinary approach and ongoing monitoring.

Funding Statement

The author(s) declared that financial support was not received for this work and/or its publication.

Footnotes

Edited by: Adeleye Oluwatosin Adeshakin, St. Jude Children’s Research Hospital, United States

Reviewed by: Ramsay Fuleihan, Columbia University, United States

Hajra Fayyaz, Quaid-i-Azam University, Pakistan

Data availability statement

The original contributions presented in the study are included in the article/supplementary material. Further inquiries can be directed to the corresponding author.

Ethics statement

Written informed consent was obtained from the individual(s), and minor(s)’ legal guardian/next of kin, for the publication of any potentially identifiable images or data included in this article.

Author contributions

HK: Data curation, Supervision, Writing – review & editing, Software, Methodology, Writing – original draft, Investigation, Conceptualization. AA: Methodology, Data curation, Writing – review & editing.

Conflict of interest

The author(s) declared that this work was conducted in the absence of any commercial or financial relationships that could be construed as a potential conflict of interest.

Generative AI statement

The author(s) declared that generative AI was not used in the creation of this manuscript.

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Associated Data

This section collects any data citations, data availability statements, or supplementary materials included in this article.

Data Availability Statement

The original contributions presented in the study are included in the article/supplementary material. Further inquiries can be directed to the corresponding author.


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