Introduction: An autosomal recessive hereditary disorder of the glyoxylate metabolism, primary hyperoxaluria (PH), causes an excess of oxalate to be formed in the body. Three genes have so far been found to cause the three forms of PH (I, II, and III). Overall, 10% of PH patients are type III and are caused by a mutation in the HOGA1 gene. Pathogenic variants responsible for the disease have been identified in several populations. In the present study, we are going to genetically analyze 14 Iranian patients who are suspicious of being affected with PH III. Methods: We studied 14 patients from 11 unrelated Iranian families with a clinical diagnosis of hyperoxaluria disease. The kidney stone was detected in all patients. All of them had high levels of creatinine and oxalate in their urine. Sanger sequencing of the HOGA1 gene was performed in all 14 patients. Next-generation sequencing has also been performed on 1 patient who did not have any causative variants in the HOGA1 gene. Results: We identified one homozygous likely pathogenic missense variant in the HOGA1 (c.266G>A). Conclusion: This is the first report of analyzing the HOGA1 gene in Iranian patients suspicious of being affected with hyperoxaluria type III, which can expand our knowledge about this gene and its mutations.

Primary hyperoxaluria (PH) is an autosomal recessive genetic disease of the metabolism of glyoxylate, which results in excessive oxalate formation [1‒3]. PH has 3 types and the most prevalent form is PH type I, which results from a mutation in the AGXT gene (AGT) [4‒6]. Primary hyperoxaluria type 2 (PH II), caused by deficiency of the enzyme glyoxylate reductase/hydroxypyruvate reductase (GRHPR), and PH III result from mutations in the HOGA1 gene. Numbers of research indicated that PH III is more common than PH II [7]. PH patients usually reveal polyurea, dysuria; and rising urine oxalate levels may appear in childhood and adulthood [1, 8‒11].

HOGA1 gene, which is located on the 10q24.2, contains 7 exons and is translated into the mitochondrial protein of 4-hydroxy-2-oxoglutarate aldolase (HOGA1), which is also known as dihydrodipicolinate synthase like (DHDPSL). This protein consists of 327 amino acids, 17 helices, 8 B strands, and 3 turns and it also has 2 dimers; it produces a tetrameric structure [12].

There are numerous techniques to map the mutation location such as haplotype analysis [13]. Haplotype analysis uses the fact that patients who are born to consanguineous marriages or from a small geographical area probably inherit two recessive copies of a mutant allele from a common ancestor. In this study, Sanger sequencing was done followed by haplotype analysis utilizing SNP markers on individuals suspected of being affected by PH III.

Patients

Fourteen patients from 11 unrelated families who were determined to have PH III were referred to the Ali Asghar Children’s Hospital. Consent forms were obtained from all participants before sampling. This study was approved by the Iran University of Medical Sciences (IUMS) research committee (IR.IUMS.FMD.REC.1401.149). PH I was ruled out in all studied patients using Sanger sequencing of the AGXT gene. Patients’ clinical information is summarized in Table 1.

Table 1.

Patients’ clinical information

Patient F1 F2 F3A F3B F3C F3D F4 F5 F6 F7 F8 F9 F10 F11 
ESRD No No No No No No No No No No No No No No 
Reduced kidney function No No ** No No No ** No No NA 
Kidney stone Yes Yes Yes Yes Yes Yes Yes Yes Yes Yes Yes Yes Yes Yes 
Sex 
Age of onset 7 Ms 6 Ms 2 Ys 1.5 Ys 6 Ms 6 Ms 6 Ms 2 Ys 6 Ms 3 Ys 2.5 Ys 11 Ms 1 Y 6 Ms 
Age at diagnosis 7 Ms 1 Y 2 Ys 1.5 Ys 8 Ms 8 Ms 11 Ms 2 Ys 1 Y 3 Ys 2.5 Ys 1 Y 1.5 Ys 10 Ms 
Family history Yes Yes Yes Yes Yes Yes Yes Yes Yes Yes Yes Yes Yes Yes 
Creatinine 18.2 20 24.5 18.5 6.63 6.8 13.5 71.1 9.8 15 54 NA 22 16 
U. oxalate, mmol/24 h 9.3 7.1 12.2 14.5 3.3 3.5 1.4 29 5.3 NA 21.5 NA 24 
U. oxalate/creatinine, mmol/mg 510.9 355 498 783 497.7 514 933.3 321 540 NA 398.1 NA 1,010 500 
Oxalate precipitation in kidney Yes Yes Yes Yes Yes Yes Yes Yes Yes NA NA NA NA NA 
Patient F1 F2 F3A F3B F3C F3D F4 F5 F6 F7 F8 F9 F10 F11 
ESRD No No No No No No No No No No No No No No 
Reduced kidney function No No ** No No No ** No No NA 
Kidney stone Yes Yes Yes Yes Yes Yes Yes Yes Yes Yes Yes Yes Yes Yes 
Sex 
Age of onset 7 Ms 6 Ms 2 Ys 1.5 Ys 6 Ms 6 Ms 6 Ms 2 Ys 6 Ms 3 Ys 2.5 Ys 11 Ms 1 Y 6 Ms 
Age at diagnosis 7 Ms 1 Y 2 Ys 1.5 Ys 8 Ms 8 Ms 11 Ms 2 Ys 1 Y 3 Ys 2.5 Ys 1 Y 1.5 Ys 10 Ms 
Family history Yes Yes Yes Yes Yes Yes Yes Yes Yes Yes Yes Yes Yes Yes 
Creatinine 18.2 20 24.5 18.5 6.63 6.8 13.5 71.1 9.8 15 54 NA 22 16 
U. oxalate, mmol/24 h 9.3 7.1 12.2 14.5 3.3 3.5 1.4 29 5.3 NA 21.5 NA 24 
U. oxalate/creatinine, mmol/mg 510.9 355 498 783 497.7 514 933.3 321 540 NA 398.1 NA 1,010 500 
Oxalate precipitation in kidney Yes Yes Yes Yes Yes Yes Yes Yes Yes NA NA NA NA NA 

Ms, months; Ys, years; NA, not available; *, low; **, high.

Molecular Analysis

DNA was extracted from whole blood samples by salting-out approach [14]. Haplotype analysis was performed using SNPs. Four different SNPs surrounding the HOGA1 gene were selected including rs2275090, rs1124116, rs3750614, and rs2296438. ARMS-PCR primers were designed for each of our selected SNPs to genotype them. Primers for all coding exons and exon-intron boundaries of the HOGA1 gene were designed. Sanger sequencing of this gene was performed on those affected individuals who showed the homozygous haplotypes.

In silico Analysis

Different in silico tools such as Combined Annotation Dependent Depletion (CADD) [15], MutationTaster [16], Mutation Surveyor [17], Have Our Protein Explained (HOPE), Protein Variation Effect Analyzer (PROVEN) [18], Sorts Intolerant From Tolerant (SIFT) [19], Polymorphism Phenotyping (PolyPhen) [20], and Genomic Evolutionary Rate Profiling (GERP) [21] were applied for variant analysis and finally they were interpreted according to American College of Medical Genetics and Genomics (ACMG) guideline [22].

Next-Generation Sequencing

One of our studied patients (F3) had a large inbred family with lots of members affected with stone kidney. Sanger sequencing of the AGXT gene did not reveal any causative variant in the family’s proband. The haplotype analysis for the HOGA1 gene did not show homozygous haplotypes. This patient was selected to be tested by NGS. Whole exome enrichment was performed using an Agilent sure select V7 target enrichment kit and the library was sequenced on the Illumina HiSeq 6000 platform with an average depth of 100X for target regions. Nearly, all exons and flanking 10 bp were covered. Paired-end reads are aligned to the NCBI reference sequence (GRCh37). Bioinformatics analysis of the sequencing results was performed using international databases and standard bioinformatics software. The analysis was performed with emphasis on the variants within more than 3,500 genes with the phenotype-causing mutation in the “Online Mendelian Inheritance in Man” (OMIM; 2024-09-01) catalog.

Patients

Our study was performed on 14 unrelated patients who were suspicious of being affected with PH III from different regions of Iran. All of the patients were aged from 1 to 5 years. Overall, 64.2% of them are from consanguineous marriages, and the remaining are from the same ethnicity. The median age at onset of clinical symptoms was 2.93 (range: 1.5–5.5) years. Figure 1 shows the pedigrees of our studied patients.

Fig. 1.

Pedigrees of affected people participated in this study. White color indicates healthy people, black color means persons who are suspicious of being affected by PH III, and red color shows those who have nephrolithiasis.

Fig. 1.

Pedigrees of affected people participated in this study. White color indicates healthy people, black color means persons who are suspicious of being affected by PH III, and red color shows those who have nephrolithiasis.

Close modal

Prior to genetic analyses like ruling out of PH1, haplotype analysis for the HOGA1, and Sanger sequencing of this gene, clinical and paraclinical evidence of the patient F11 was highly consistent with PH III: kidneys were normal in size and parenchymal echogenicity. They had a few scattered stones, but no hydronephrosis was seen. The ratio of oxalate to creatinine was high in this patient [23, 24].

Molecular Analysis

The result of the haplotype analysis of 14 affected individuals along with their parents showed that only 2 patients (F4 and F11) had the homozygous haplotypes (Fig. 2). Sanger sequencing was done in the patients of both families. A homozygous mutation of c.266G>A (p.Arg89His) has been detected in F11, which was found in exon 2 of the HOGA1 gene. As shown in Figure 3, her parents were heterozygous for this variant. The result of ARMS-PCR of 4 SNPs in this family along with controls is shown in Figure 4.

Fig. 2.

Haplotype analysis of the F4 and F11 families.

Fig. 2.

Haplotype analysis of the F4 and F11 families.

Close modal
Fig. 3.

Result of Sanger sequencing analysis in the F11 family. The affected child (AC) had a homozygous mutation c.266G>A (p.Arg89His) and his parents were heterozygous. F, father; M, mother.

Fig. 3.

Result of Sanger sequencing analysis in the F11 family. The affected child (AC) had a homozygous mutation c.266G>A (p.Arg89His) and his parents were heterozygous. F, father; M, mother.

Close modal
Fig. 4.

ARMS-PCR for all 4 SNPs in the family of F11. Two nonidentical letters indicate heterozygous genotype of that SNP (AG-CT-TG-AG) and two identical letters indicate homozygous genotype of that SNP (AA-GG-TT-CC-TT-GG-AA-GG). AC, affected child; F, father; M, mother.

Fig. 4.

ARMS-PCR for all 4 SNPs in the family of F11. Two nonidentical letters indicate heterozygous genotype of that SNP (AG-CT-TG-AG) and two identical letters indicate homozygous genotype of that SNP (AA-GG-TT-CC-TT-GG-AA-GG). AC, affected child; F, father; M, mother.

Close modal

Sanger Sequencing in the F4 Family Did Not Show Any Causative Variant

Next-Generation Sequencing

We performed NGS on the proband of the family of F3. No pathogenic or likely pathogenic variant related to the patients’ phenotype was found after analysis. More analysis showed some (run of homozygosity) ROH regions in the affected individual, which are shown in Table 2. The genes whose mutations potentially cause kidney stones are also revealed in Table 2.

Table 2.

The genes whose mutations potentially cause kidney stones are shown in the found ROH region of the WES data from the patient of F3 family

ChromosomeStartEndLengthNumber of variantsNumber of homozygotesPercentage of homozygotes, %Number of heterozygotesPercentage of heterozygotes, %Gene
chr1 3,809,423 3,809 199 199 100.00 0.00  
chr2 42,275,725 47,388,766 5,113 70 70 100.00 0.00 MTA3 
chr2 209,035,657 228,883,721 19,848 348 332 95.40 16 4.60  
chr3 3,170,791 5,241,223 2070 22 22 100.00 0.00  
chr3 14,526,537 53,882,903 39,356 562 562 100.00 0.00  
chr3 168,840,570 186,370,333 17,529 106 106 100.00 0.00  
chr4 36,069,804 126,373,789 90,303 735 734 99.86 0.14  
chr5 112,256,813 150,704,724 38,447 485 480 98.97 1.03 PCDH12 
chr5 157,285,727 160,097,632 2811 21 21 100.00 0.00  
chr6 33,255,102 47,847,683 14,592 402 395 98.26 1.74 ITPR3 
chr7 4,946,876 27,702,390 22,755 272 270 99.26 0.74  
chr7 91,503,227 120,740,103 29,236 395 395 100.00 0.00 MUC3A 
chr8 7,718,187 7,718 99 99 100.00 0.00  
chr8 133,918,768 146,364,022 12,445 412 412 100.00 0.00 WDR97 
chr9 36,674,841 39,103,743 2428 22 22 100.00 0.00 GRHPR 
chr9 71,002,553 78,601,268 7,598 58 58 100.00 0.00 PIP5K1B 
chr11 47,440,282 50,246,956 2806 57 56 98.25 1.75  
chr11 82,641,363 135,006,516 52,365 667 667 100.00 0.00  
chr12 6,128,442 9,311,265 3,182 164 156 95.12 4.88  
chr14 34,243,476 38,679,473 4,435 31 31 100.00 0.00  
chr14 53,529,668 56,085,812 2556 26 25 96.15 3.85  
chr14 95,918,465 107,349,540 11,431 326 321 98.47 1.53  
chr16 8,728,952 13,002,359 4,273 132 132 100.00 0.00  
chr16 80,577,097 86,585,905 6,008 194 194 100.00 0.00  
chr21 45,170,284 48,129,895 2,959 188 186 98.94 1.06  
ChromosomeStartEndLengthNumber of variantsNumber of homozygotesPercentage of homozygotes, %Number of heterozygotesPercentage of heterozygotes, %Gene
chr1 3,809,423 3,809 199 199 100.00 0.00  
chr2 42,275,725 47,388,766 5,113 70 70 100.00 0.00 MTA3 
chr2 209,035,657 228,883,721 19,848 348 332 95.40 16 4.60  
chr3 3,170,791 5,241,223 2070 22 22 100.00 0.00  
chr3 14,526,537 53,882,903 39,356 562 562 100.00 0.00  
chr3 168,840,570 186,370,333 17,529 106 106 100.00 0.00  
chr4 36,069,804 126,373,789 90,303 735 734 99.86 0.14  
chr5 112,256,813 150,704,724 38,447 485 480 98.97 1.03 PCDH12 
chr5 157,285,727 160,097,632 2811 21 21 100.00 0.00  
chr6 33,255,102 47,847,683 14,592 402 395 98.26 1.74 ITPR3 
chr7 4,946,876 27,702,390 22,755 272 270 99.26 0.74  
chr7 91,503,227 120,740,103 29,236 395 395 100.00 0.00 MUC3A 
chr8 7,718,187 7,718 99 99 100.00 0.00  
chr8 133,918,768 146,364,022 12,445 412 412 100.00 0.00 WDR97 
chr9 36,674,841 39,103,743 2428 22 22 100.00 0.00 GRHPR 
chr9 71,002,553 78,601,268 7,598 58 58 100.00 0.00 PIP5K1B 
chr11 47,440,282 50,246,956 2806 57 56 98.25 1.75  
chr11 82,641,363 135,006,516 52,365 667 667 100.00 0.00  
chr12 6,128,442 9,311,265 3,182 164 156 95.12 4.88  
chr14 34,243,476 38,679,473 4,435 31 31 100.00 0.00  
chr14 53,529,668 56,085,812 2556 26 25 96.15 3.85  
chr14 95,918,465 107,349,540 11,431 326 321 98.47 1.53  
chr16 8,728,952 13,002,359 4,273 132 132 100.00 0.00  
chr16 80,577,097 86,585,905 6,008 194 194 100.00 0.00  
chr21 45,170,284 48,129,895 2,959 188 186 98.94 1.06  

In silico Tools

DANN score is a pathogenicity scoring methodology and it ranges from 0 to 1 and score 1 is predicted to be the most damaging. CADD score is a tool for scoring the deleteriousness of variants in which a score of greater than or equal to 20 is demonstrated to be the 1% most deleterious (Table 3). According to the ACMG guideline, this variant is a likely pathogenic one.

Table 3.

The in silico tools’ scores are shown for c.266G>A mutation

DANN0.9995Pathogenic supporting
DEOGEN2 0.8052 Pathogenic supporting 
FATHMM-XF Coding score 0.9021 Pathogenic supporting 
LRT Pathogenic supporting 
M-CAP 0.4739 Pathogenic supporting 
MutPred 0.615 Pathogenic supporting 
Mutation assessor 1.81 Benign supporting 
BLOSUM −1 Uncertain 
EIGEN Raw coding 0.4689 Uncertain 
EIGEN PC PC raw coding score 0.4426 Uncertain 
FATHMM −3.61 Uncertain 
FATHMM-MKL Coding score 0.9687 Uncertain 
LIST-S2 0.9521 Uncertain 
MutationTaster 1, 0.9999, 1 Disease causing 
MVP 0.8357 Uncertain 
PROVEAN −3.92 Uncertain 
SIFT 0.007 Uncertain 
SIFT4G 0.003 Uncertain 
PHRED 27.2 Damaging 
CADD 26.8 Damaging 
DANN0.9995Pathogenic supporting
DEOGEN2 0.8052 Pathogenic supporting 
FATHMM-XF Coding score 0.9021 Pathogenic supporting 
LRT Pathogenic supporting 
M-CAP 0.4739 Pathogenic supporting 
MutPred 0.615 Pathogenic supporting 
Mutation assessor 1.81 Benign supporting 
BLOSUM −1 Uncertain 
EIGEN Raw coding 0.4689 Uncertain 
EIGEN PC PC raw coding score 0.4426 Uncertain 
FATHMM −3.61 Uncertain 
FATHMM-MKL Coding score 0.9687 Uncertain 
LIST-S2 0.9521 Uncertain 
MutationTaster 1, 0.9999, 1 Disease causing 
MVP 0.8357 Uncertain 
PROVEAN −3.92 Uncertain 
SIFT 0.007 Uncertain 
SIFT4G 0.003 Uncertain 
PHRED 27.2 Damaging 
CADD 26.8 Damaging 

PH III is the less severe form of PH with a milder phenotype and good prognosis in most patients [25]. The frequency of each type of mutation based on the HGMD database in this gene is 77% missense/nonsense and splice site/deletions are 16% and the rest are indels [26].

The identified variant (c.266G>A[p.Arg89His]) in the present study is a missense one in the HOGA1 gene, which is the first report in the Iranian population (Fig. 5). According to the ACMG guideline, this variant is likely pathogenic because (1) it was not found in the gnomeAD and ExAC database (PM2), (2) several in silico tools such as BayesDel addAF, MetaRNN, DANN, DEOGEN2, FATHMM-XF, M-CAP, and MetaRNN revealed it could be a disease-causing variant (Table 3). Based on the HOPE [27], the mutant residue is smaller than the wild-type residue and the size difference between them puts the new residue in the incorrect position to make the hydrogen bond as the original wild-type residue did. Moreover the wild-type residue charge was positive whereas the mutant residue charge is neutral (PP3). (3) This variant is found in a homozygous state (PM3). (4) This non-synonymous variant is located in a mutational hot spot and critically well-established functional domain (PM1). (5) Missense variant is a common mechanism of this disorder and the HOGA1 gene has a low rate of benign missense variants (PP2) after all functional study is suggested for confirming the pathogenicity of this variant.

Fig. 5.

The position of the reported mutation in the present study is mapped on the 2D structure of HOGA1 protein.

Fig. 5.

The position of the reported mutation in the present study is mapped on the 2D structure of HOGA1 protein.

Close modal

No causative variant was detected in the F4 family’s proband. This might be due to that the variant may locate in the regulatory elements/promoter regions, which were not covered by Sanger sequencing, or other genes except for HOGA1 may be responsible for the disease. It is suggested to perform whole genome sequencing to find out the causative mutation in this family.

NGS Analysis

After NGS analysis and checking the relevant genes in the different databases such as GeneCard, MalaCard, and OMIM, no gene related to the phenotypic disorder of the affected person was found. It is suggested that the mutation may be located in the non-exonic regions such as promoter or regulatory elements. Since the patient (F3) was born into a consanguineous marriage, we tried to find an ROH region to guide us to the possible causative locus in the patient. Different genes were found in these regions as shown in Table 2; the only gene that was related to this disease was the GRHPR gene. As no pathogenic/likely pathogenic variant was detected in all coding regions of this gene, we assume that the causative variant may be in the non-exonic region of the GRHPR gene; therefore, performing a whole genome sequencing for this case is suggested. To the best of our knowledge, this is the first genetic study on hyperoxaluria patients in Iran and it can provide a good context for future research.

Out of 14 patients taking part in this study, a likely pathogenic variant (HOGA1: exon 2:c266G>A) in one of them was detected. NGS analysis could be a good approach for those who did not show homozygous haplotypes.

The authors would like to thank Ali Asghar Clinical Research Development Center for search assistance.

This study protocol was reviewed and approved by the Iran University of Medical Sciences (IUMS) research committee (Approval No. IR.IUMS.FMD.REC.1401.149). For this study, written informed consent was obtained from participants’ parents. Written informed consent was obtained from their parents for publication of the details of their medical case and any accompanying images.

The authors have no conflicts of interest to disclose.

This research was funded by IUMS. Author Marzieh Mojbafan has received research support from IUMS.

Sadegh Tavakoli Ataabadi performed the experiment and collected data and analyzed and interpreted data and drafted the manuscript. Leila Behi cooperated in the project. Marzieh Mojbafan designed and supervised the study and critically revised the manuscript. Nakysa Hooman contributed to sample collection and clinical and paraclinical examination of patients.

All date generated or analyzed during this study are included in this article. Further inquiries can be directed to the corresponding author.

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