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Article

UMOD Mutations in Chronic Kidney Disease in Taiwan

by
Huan-Da Chen
1,†,
Chih-Chuan Yu
2,3,†,
I-Hsiao Yang
4,
Chi-Chih Hung
5,
Mei-Chuan Kuo
5,
Der-Cherng Tarng
6,
Jer-Ming Chang
5,* and
Daw-Yang Hwang
2,5,7,*
1
Department of Pathology, Kaohsiung Medical University Hospital, Kaohsiung Medical University, Kaohsiung 807377, Taiwan
2
National Institute of Cancer Research, National Health Research Institutes, Tainan 70456, Taiwan
3
Department of Laboratory Medicine, Kaohsiung Medical University Hospital, Kaohsiung Medical University, Kaohsiung 807377, Taiwan
4
Department of Medical Imaging, Kaohsiung Medical University Hospital, Kaohsiung Medical University, Kaohsiung 807377, Taiwan
5
Division of Nephrology, Department of Internal Medicine, Kaohsiung Medical University Hospital, Kaohsiung Medical University, Kaohsiung 807377, Taiwan
6
Institutes of Physiology and Clinical Medicine, Division of Nephrology, Department of Medicine, Taipei Veterans General Hospital, National Yang-Ming Chiao-Tung University, Taipei 112201, Taiwan
7
Center for Biomarkers and Biotech Drugs, Department of Biomedical Science and Environmental Biology, Kaohsiung Medical University, Kaohsiung 807377, Taiwan
*
Authors to whom correspondence should be addressed.
†
These authors contributed equally to this work.
Biomedicines 2022, 10(9), 2265; https://doi.org/10.3390/biomedicines10092265
Submission received: 18 July 2022 / Revised: 6 September 2022 / Accepted: 8 September 2022 / Published: 13 September 2022
(This article belongs to the Special Issue Pathogenesis and Treatment Progress of Chronic Kidney Diseases)
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Abstract

:
UMOD is the first identified and the most commonly mutated gene that causes autosomal dominant tubulointerstitial kidney disease (ADTKD). Recent studies have shown that ADTKD-UMOD is a relatively common cause of chronic kidney disease (CKD). However, the status of ADTKD-UMOD in Taiwan remains unknown. In this study, we identified three heterozygous UMOD missense variants, c.121T > C (p.Cys41Arg), c.179G > A (p.Gly60Asp), and c.817G > T (p.Val273Phe), in a total of 221 selected CKD families (1.36%). Two of these missense variants, p.Cys41Arg and p.Gly60Asp, have not been reported previously. In vitro studies showed that both uromodulin variants have defects in cell membrane trafficking and excretion to the culture medium. The structure model predicted altered disulfide bond formation in both variants, but only p.Gly60Asp was predicted to cause protein destabilization. Our findings extend the mutation spectrum and indicate that the ADTKD-UMOD contributed to a small but significant cause of CKD in the Taiwanese population.

1. Introduction

ADTKD is a rare dominant inheritance disease caused by heterozygous mutations in UMOD [1], MUC1 [2], HNF1B [3], REN [4], and SEC61A1 [5]. UMOD is the first identified and the most common cause of ADTKD, and it has been subject to extensive investigation [1,6]. Although rare, ADTKD is the third most common monogenic kidney disease following ADPKD and collagen type IV nephropathy, but the prevalence of ADTKD-UMOD remains unclear, and recent studies show that it represents up to 2% of patients with KF or 0.3% of all individuals with CKD [7,8].
UMOD encodes uromodulin and is the most abundant protein in human urine [9]. Uromodulin is a kidney-specific protein produced by the epithelial cells of the thick ascending limb of the loop of Henle and the early part of the distal convoluted tubule [10], and it is formed as a high-molecular-weight polymer via its zona pellucida domain [11]. Moreover, uromodulin is a highly glycosylated protein, with seven N-glycosylation sites and cleavage at the end of the C-terminal by serine protease hepsin, before being excreted into the tubular lumen [9,12,13]. The function of uromodulin includes protection against calcium oxalate crystallization [14], defense against infections in the urinary tract from uropathogenic bacteria [15,16,17,18], and regulating the Ca2+-K+ ion channel [19]. The effect of UMOD mutations is delayed maturation, retention in the endoplasmic reticulum (ER), reduced expression at the plasma membrane, and decreased urinary excretion, which lead to ER stress and the unfolded protein response [20,21,22].
Clinical phenotypes of ADTKD-UMOD are nonspecific and include CKD, gout, hyperuricemia, normal to mild proteinuria, presence or lack of a family history, and most affected individuals entering KF between the ages of 30 years and 50 years [23]. Renal histology shows tubular dilation or atrophy, tubular basal membrane lamellation or thickening, interstitial fibrosis, and accumulation of mutated uromodulin as polymorphic unstructured materials revealed by PAS staining [24,25].
Taiwan has the highest incidence and prevalence of CKD and KF based on international comparisons of the USRDS report [26]. However, no study has focused on the status of ADTKD-UMOD in the CKD population in Taiwan. In this study, we examined the prevalence of ADTKD-UMOD mutations in a selected CKD cohort in a single tertiary center in Taiwan.

2. Materials and Methods

2.1. CKD Individuals and DNA Preparation

This study recruited 221 CKD families (228 individuals) from the CKD Care Program of Kaohsiung Medical University Hospital. The inclusion criteria included gout episodes or hyperuricemia with eGFR less than 90 mL/min/1.73 m2 before the age of 40. Blood samples, pedigree information, and access to results of laboratory work were obtained from individuals after informed consent was given. The study was conducted following the Declaration of Helsinki and approved by the Institutional Review Board of KMUH (KMUHIRB-G(II)-20160024). DNA from peripheral blood samples was extracted according to the standard method.

2.2. Exome Sequencing and Bioinformatics Analysis

The Nextera Flex for Enrichment and Exome panel (CEX V2, Illumina, San Diego, CA, USA) was used for exome library creation. Size selection, sequence capture, enrichment, and elution were performed according to the manufacturer’s instructions. The size distribution of DNA libraries was then measured using TapeStation 4150 (Agilent, Santa Clara, CA, USA), followed by sequencing on an Illumina NovaSeq 6000 with 150 bp paired-end reads. The resulting fastq data were aligned to the reference human genome sequence (GRCh37/hg19) and we performed nucleotide variant calling using the DRAGEN Bio-IT platform (Illumina). The VCF file was analyzed in CLC Genomics Workbench (Qiagen, Germantown, MD, USA). Identified variants were labeled as pathogenic/likely pathogenic, variant of uncertain significance (VUS), or benign, according to the American College of Medical Genetics and Genomics (ACMG) classification, using the VarSome software, and we compared variants that existed in the ClinVar, HGMD, and dbSNP databases. Detected pathogenic, likely pathogenic, and VUS variants were confirmed by Sanger sequencing. For Sanger sequencing, the PCR products were purified by shrimp alkaline phosphatase/exonuclease I (78390, USB Products, Affymetrix, Santa Clara, CA, USA) treatment and then subjected to sequencing from both ends by thermocycler sequencing using the BigDye® terminator 3.1 sequencing kit (4337458, Applied Biosystems, Thermo Fisher Scientific, Waltham, MA, USA) following analysis on an ABI 3730XL DNA Analyzer (Applied Biosystems, Thermo Fisher Scientific). Segregation analysis was performed if DNA was available from family members. Exons 2, 3, 4, and 5 of UMOD were screened by Sanger sequencing in the proband of 221 CKD families except the DY5 family, which received exome sequencing. The NCBI Ref sequence NM_003361.4 is used for UMOD. The standard nomenclature recommended by the Human Genome Variation Society (http://www.hgvs.org/; accessed on 18 July 2022.) was used to number nucleotides and name mutations or variants.

2.3. Cell Culture and Transient Transfection

HEK293 cells (CRL-1573, ATCC, Manassas, VA, USA) were cultured in Kaighn’s modification of Ham’s F-12 medium (F-12K) (N3520, Merck/Millipore Sigma, Burlington, MA, USA) supplemented with 10% heat-inactivated fetal bovine serum (10437028, Gibco, Thermo Fisher Scientific, Waltham, MA, USA), 100 units/mL penicillin, 100 μg/mL streptomycin (10378016, Gibco, Thermo Fisher Scientific), and 10 units/mL γ-interferon (IF002, Merck/Millipore Sigma). The cells were maintained at 37 °C in a humidified atmosphere of 5% CO2.
Transient transfection of HEK293 cells was performed using Lipofectamine 2000 (11668027, Invitrogen, Thermo Fisher Scientific, Waltham, MA, USA). Briefly, 2.5 μL of Lipofectamine 2000 was added directly into 100 μL Optimum medium (31985062, Gibco, Thermo Fisher Scientific) and incubated for 5 min at room temperature. A total of 1 μg of DNA was added to the Lipofectamine 2000–Optimum mixture and incubated for another 20 min. The DNA mixture was added to cell culture plates with a serum-free medium dropwise at the end of incubation. For the health status of the cells after transient transfection, we used the LUNA-II™ Automated Cell Counter (Aligned Genetics, Anyang-si, Gyeonggi-do, Korea) to detect trypan blue staining cell viability at a different time point, and most transfected cells remained alive upon different uromodulin over-expression (data not shown).

2.4. Site-Directed Mutagenesis

The HA-tagged wildtype uromodulin vector was obtained from Dr. Rampoldi [27]. The mutation constructs of p.Cys41Arg and p.Gly60Asp were created using the QuikChange II Site-Directed Mutagenesis Kit (200523, Agilent) according to the manufacturer’s instructions. The mutations were confirmed by Sanger sequencing.

2.5. ELISA and Fractionation

Empty vector, wildtype uromodulin, p.Cys41Arg uromodulin, and p.Gly60Asp uromodulin expression constructs were transiently transfected to HEK293 cells. After transient transfection, the culture medium was collected at 8, 24, and 32 h, then stored at −80 °C before measurement. For immunoblotting, the culture medium was condensed by Centricon (YM3, amicon, Merck/Millipore Sigma) before SDS-PAGE electrophoresis. ELISA was used to carry out measurements of the uromodulin in the culture medium according to the manufacturer’s instructions (EHUMOD, Invitrogen, Thermo Fisher Scientific). Briefly, the culture medium and standards were diluted in an assay diluent supplied in the kit and added to wells in duplicate. After 2.5 h of incubation at room temperature, the wells were washed with PBS, and the biotinylated uromodulin antibody was added. After 1 h of incubation at room temperature, the wells were rewashed, and a streptavidin-horseradish peroxidase secondary antibody was added. After 45 min of incubation at room temperature, the wells were rewashed, and the color was developed by adding TMB substrate solution and incubation in the dark at room temperature for 30 min. The reaction was stopped by adding the stop solution supplied in the kit, followed by reading immediately at OD450 and OD550. The culture medium’s uromodulin concentration was determined by interpolation on the standard curve.
After the culture medium was collected, the cells attached to the culture dish proceeded to fractionation using a subcellular protein fractionation kit (78840, Thermo Fisher Scientific) according to the manufacturer’s instructions. In brief, we collected equal amounts of three different types of uromodulin cell lysate and removed all the supernatant until as dry as possible. We added ice-cold cytoplasmic extraction buffer containing protease inhibitors to the cell pellet, incubated at 4 °C for 10 min with gentle mixing, then centrifuged at 500× g for 5 min. We immediately removed the supernatant (cytoplasmic extract) to a clean pre-chilled tube on ice and added an ice-cold membrane extraction buffer containing protease inhibitors to the pellet. The membrane portion was vortexed for 5 s on the highest setting and incubated at 4 °C for 10 min with gentle mixing. We transferred the supernatant (membrane extract) to a clean pre-chilled tube on ice after centrifuging at 3000× g for 5 min. The subcellular membrane and cytoplasmic protein were analyzed by western blotting.

2.6. Immunoblotting Analysis

The protein samples were gathered from the cells with an RIPA buffer (R0278, Merck/Millipore Sigma) or the fractionation step. Subsequently, the protein concentration was determined using a protein assay dye (5000006, BIO-RAD, Hercules, CA, USA) and access to an equal amount of protein, then separated by electrophoresis on SDS-PAGE. After the proteins were transferred on polyvinylidene difluoride (PVDF) membranes (1620177, BIO-RAD), the PVDF membrane was immersed in 5% skim milk at 1X TBST, blocking for 1 h at room temperature, and washed three times with 1X TBST for 5 min. Next, we incubated the PVDF membrane with the primary antibody at 4 °C overnight, washed it three times with 1X TBST for 5 min, and incubated it with the secondary antibody for 1 h at room temperature. It was washed three times with 1X TBST for 5 min after secondary antibody incubation, then we added the enhanced chemiluminescence (ECL) substrate kit (GERPN2134, Merck/Millipore Sigma) and detected the protein signal using an X-ray processor (MXP-101, KODAK, Rochester, NY, USA) on X-ray film (Super RX, FUJIFILM, Minato-ku, TKY, JPN). Primary and secondary antibodies were diluted with 5% skim milk in 1X TBST, and the detailed information isas follows: 1:2000 for uromodulin (sc-20631, Santa Cruz, Dallas, TX, USA) and 1:20,000 for rabbit HRP 2nd antibody (GTX213110-01, GeneTex, Irvine, CA, USA).

2.7. Protein Structure Prediction

Dynamut was applied for the 3D structure prediction of the wildtype and mutant uromodulins (http://biosig.unimelb.edu.au/dynamut/; accessed on 15 June 2022.) using the full-length structure of the native human uromodulin (Protein Data Bank: 7PFP) [28]. DiANNA was used for the disulfide bond prediction (http://clavius.bc.edu/~clotelab/DiANNA/; accessed on 16 June 2022.) of the wildtype and mutant uromodulins [29,30,31].

2.8. Statistic Analysis

ImageJ analysis software analyzed and quantified the western blot bands. The statistical analyses and graphs were carried out and prepared using GraphPad Prism8 software (GraphPad Software Incorporation, San Diego, CA, USA), and the mean ± SEM was presented. An unpaired t-test was applied for a two-group comparison. The statistical results were marked as follows: * p < 0.05; ** p < 0.01; *** p < 0.001. Each experiment was repeated at least three times.

3. Results

The study comprised 221 families (228 individuals) where the index patients met the inclusion criteria of gout, hyperuricemia, and an eGFR of less than 90 mL/min/1.73 m2 before the age of 40 years old from a single medical center in southern Taiwan. Exon screening of the UMOD gene in a total of 220 families and exome sequencing in a single DY5 family (three affected members) were performed. Identified variants went through ACMG classification with 28 criteria to evaluate their pathogenicity, followed by family segregation analysis along with population database (gnomAD and TOPMed) and clinical database (ClinVar) comparisons. Finally, a total of three heterozygous UMOD missense variants, c.121T > C (p.Cys41Arg), c.179G > A (p.Gly60Asp), and c.817G > T (p.Val273Phe), were identified, which accounted for 1.36% of this cohort (Table 1). The p.Val273Phe variant was reported twice in the ClinVar database and classified as likely pathogenic; thus, no further analysis was performed. Pedigree, clinical presentation and imaging, sequencing analysis, amino acid conservation, in vitro functional studies, and mutant protein and disulfide bond prediction were performed to evaluate the pathogenicity of the p.Cys41Arg and p.Gly60Asp variants.
Family DY5: Exome sequencing was performed in DY5 III-1, III-2, and III-4. A total of 28 variants, including UMOD c.179G > A (p.Gly60Asp), were shared among these three affected individuals after exome sequencing analysis (Table S1). Bioinformatic analysis showed that only c.179G > A (p.Gly60Asp) was classified as VUS by the ACMG classification and as likely pathogenic by the Varsome software. This variant does not exist in the 1000 Genomes, gnomAD, TOPMed, and ClinVar databases. Furthermore, this variant fits the family’s dominant inheritance pattern and is segregated from the phenotype of all the family members, indicating that this variant may be the disease-causing mutation of the DY5 family (Table 1 and Figure 1a). The affected members had hyperuricemia but no gout episode and entered KF between the ages of 26 and 41 (II-1 34 y/o, III-1 26 y/o, III-2 30 y/o, III-3, III-4 41 y/o). In DY5 III-2, his kidney function deteriorated rapidly, with a declining annual rate of more than 9 mL/min/1.73 m2 between the age of 22 and 30 (Figure 2a). Magnetic resonance imaging at the age of 29 showed an irregular kidney contour with tiny bilateral cysts (Figure 2b).
Family CKD401 and WG: Two UMOD variants were identified in index individuals with gout or hyperuricemia before the age of 40. The UMOD variant c.817G > T (p.Val273Phe) was identified in individual CKD401; he presented with hyperuricemia and gout episodes and received renal replacement therapy in his late fifth decade and had an unknown family history (Table 1). In the WG family, the UMOD variant c.121T > C (p.Cys41Arg) was segregated in the affected members and was likely pathogenic according to the ACMG classification. Members II-1 and II-2 of the WG family experienced hyperuricemia and acute gout episodes from adolescence, with CKD stage 3 in their early third decade. The I-1 mother received renal replacement therapy in her early fifth decade. (Table 1 and Figure 1b). Both UMOD p.Gly60Asp and p.Cys41Arg do not exist in the known databases and have not been reported before, but they appear to be highly conservative across different species, except chicken and zebrafish, in the UCSC Genome Browser (Figure 1c), and their functional effects have been tested in vitro.
To determine the effect of uromodulin c.179G > A (p.Gly60Asp) and c.121T > C (p.Cys41Arg), two mutant constructs were made by using site-directed mutagenesis. After 24 hr of transient transfection with an equal number of HEK293 cells, a similar amount of uromodulin protein can be identified in the whole-cell lysates of WT and mutant-transfected cells (Figure 3a). A faint band can be seen in the cell transfected with an empty vector, indicating the existence of endogenous uromodulin in the HEK293 cells. Uromodulin excretion from cells was tested by collecting the culture medium after 8, 24, 32, and 48 h of transient transfection, followed by ELISA measurement. Wildtype transfected cells had a higher uromodulin content in the culture medium (6 ng/mL at 48 h) compared with the two mutants (3 ng/mL at 48 h) (Figure 3b), and we also observed the same improper uromodulin excretion by western blotting (Figure 3a), indicating that the p.Gly60Asp and p.Cys41Arg variants affect uromodulin excretion.
Membrane portions of WT, p.Gly60Asp, and p.Cys41Arg transfected cells were collected 24 h after transfection. The western blot showed that only WT uromodulin had influential bands around 100kDa, and only faint signals were detected in the p.Gly60Asp and p.Cys41Arg uromodulin membrane portions (Figure 3c). In contrast, the cytosol portion showed a similar uromodulin expression pattern among all three groups (Figure 3d). These results indicate that most mutant uromodulin has a defect in trafficking to the cell membrane and is most likely retained in the cytosol.
The analysis of uromodulin protein structure by DynaMut showed that the p.Cys41Arg variant changes the Gibbs free energy (DDG) to 0.018 kcal/mol with the same number of hydrogen bonds, which may not significantly change its stability (Figure 4a). However, p.Gly60Asp was predicted to have a DDG of −0.423 kcal/mol and hydrogen bonds different to those of the WT, which may cause protein destabilization (Figure 4b). Predictions of the disulfide bonds of WT, p.Cys41Arg, and p.Gly60Asp were calculated using DiANNA. A total of 24 disulfide bonds were formed by 48 conserved cysteine residues in the wildtype uromodulin. The prediction model showed that multiple disulfide bonds might be affected by p.Cys41Arg and p.Gly60Asp variants (Figure 4c), although p.Gly60Asp does not directly affect the disulfide bridges.
In summary, our functional experimental results support that both the p.Cys41Arg and p.Gly60Asp variants are disease-causing UMOD mutations exhibiting delayed protein trafficking to the cell membrane, increased cytosol accumulation, and decreased extracellular excretion, and they affect the protein disulfide bond formations.

4. Discussion

Our result shows that ADTKD-UMOD represented a small but significant 1.36% (3/221) of the young CKD population with hyperuricemia or gout in Taiwan. This result is compatible with that of previous studies where ADTKD-UMOD constituted around 0.3% of all CKD individuals [7,8,32]. No previous publications have a molecular diagnosis of ADTKD-UMOD, which indicates that this is an under-diagnosed disease entity because genetic diagnosis is not widely available and not covered by health insurance in Taiwan. Clinical genetics are essential in proteomics, clinical phenotype, digital pathology, and clinical outcomes in precision medicine [33].
Several large-scale ADTKD-UMOD genetic analyses have been performed in recent years [6,34,35], and most mutations are located in exons 3 to 5 [36,37,38,39]. All three variants in our cohort are also located in exon 3, but in different domains. Both p.Gly60Asp and p.Cys41Arg were in the EGFR-like domain, and p.Val273Phe was in the D8C domain and has been previously reported [40]. Two other variants had not been previously reported or did not exist in any databases, but a similar p.Cys41Tyr has been reported previously [6]. These two novel variants are segregated in their families, do not exist in any available public databases (gnomAD and TOPMed), clinically fit the known ADTKD-UMOD phenotype, and are classified as likely pathogenic (p.Cys41Arg) and VUS (p.Gly60Asp) according to the ACMG criteria. Functional in vitro studies showed delayed uromodulin maturation to the cell membrane and decreased uromodulin secretion of these two variants, further supporting their pathogenicity as the disease-causing mutation in these two families.
The signal peptide of uromodulin is first cleaved in the endoplasmic reticulum with N-glycosylation, disulfide bridge formation, and glypiation of the C-terminus, followed by further modification in the Golgi apparatus and glycosylphosphatidylinositol-anchored to the apical membrane [41]. The membrane uromodulin is actively released in the urine by proteolytic cleavage at residue Phe587 [13]. Normal uromodulin in the urine provides several functions, including protection against bacterial infection, maintaining innate immunity, protection against kidney stone formation, and even blood pressure control [14,15,16,17,18,42]. Our in vitro studies showed that these mutants had a decreased uromodulin content in the culture medium and a decreased uromodulin content in the cell membrane portion, indicating that these mutants’ uromodulin was most likely retained in the cytosol. Our results are compatible with those of previous functional studies where retained mutant uromodulin was found to lead to maturation defects in Golgi apparatus, trafficking to the cell membrane followed by ER stress, tubular cell damage, and clinical CKD or KF [20,21,40,43,44].
Amino acid mutations might cause protein structure and residue interaction changes. Regarding uromodulin’s protein structure, the cysteine at position 41 (Cys41) is one of the 48 conserved cysteine residues involved in the formation of 24 disulfide bridges [45]. Cys41 formed a disulfide bridge with Cys126, and mutation at Cys126 has been reported [46]. The p.Cys41Arg variant can change the disulfide bond formation and lead to improper protein folding and the export of the precursor protein from the ER [47]; even p.Gly60Asp may indirectly affect the disulfide bond formation according to the DiAANA prediction. Male gender and high in vitro mutation scores according to the measurement of the severity of the trafficking defect of the uromodulin mutants were significant predictors of worse kidney outcomes in ADTKD-UMOD [34]. We classified the p.Cys41Arg and p.Gly60Asp mutants as having a high mutation score of 4 based on the mature uromodulin expression being barely detected by the Western blot. These results are compatible with our clinical observation that all family members of p.Cys41Arg and p.Gly60Asp entered KF at a relatively young age. However, we did not find that the incidence of gout at a younger age was associated with a younger age of KF, since all the affected DY5 individuals never had gout.
Several limitations existed in our study. First, not all UMOD exons were included in the mutation screening, and mutations in the exons not screened may have been missed. Second, our method could not detect large indel mutations or complex gene rearrangement. Furthermore, other ADTKD-related genes, including MUC1, REN, HNF1B, and SEC61A1, were not included in this study.

5. Conlusions

In conclusion, we identified that UMOD mutations were present in a small but significant number of young individuals with CKD in Taiwan. Furthermore, we provided evidence that these two novel UMOD variants are disease-causing mutations in these two families through functional studies and a protein structure analysis. Multi-center screening should provide a better mutation landscape in Taiwan and contribute to the ADTKD research field.

Supplementary Materials

The following supporting information can be downloaded at: https://www.mdpi.com/article/10.3390/biomedicines10092265/s1, Table S1: The 29 variants defined by exome sequencing in the DY5 family.

Author Contributions

Conceptualization, D.-Y.H.; methodology, D.-Y.H.; software, C.-C.Y. and D.-Y.H.; validation, H.-D.C., C.-C.Y., I.-H.Y., C.-C.H., M.-C.K., D.-C.T., J.-M.C. and D.-Y.H.; formal analysis, H.-D.C., C.-C.Y., I.-H.Y. and D.-Y.H.; investigation, H.-D.C., C.-C.Y., I.-H.Y., C.-C.H., M.-C.K., D.-C.T., J.-M.C. and D.-Y.H.; resources, C.-C.H., M.-C.K., D.-C.T., J.-M.C. and D.-Y.H.; data curation, H.-D.C., C.-C.Y., I.-H.Y., C.-C.H., M.-C.K. and D.-Y.H.; writing—original draft preparation, H.-D.C., C.-C.Y. and D.-Y.H.; writing—review and editing, H.-D.C., C.-C.Y., J.-M.C. and D.-Y.H.; visualization, H.-D.C. and D.-Y.H.; supervision, D.-Y.H.; project administration, D.-Y.H.; funding acquisition, D.-C.T., J.-M.C. and D.-Y.H. All authors have read and agreed to the published version of the manuscript.

Funding

D.-Y.H was funded by MOST 108-2314-B-400-041-MY3 and MOST 111-2314-B-400-039. J.-M.C. was funded by MOST 106-2314-B-037-063-MY3. D.-C.T. was funded by the Foundation for Poison Control 2022-02.

Institutional Review Board Statement

The study was conducted in accordance with the Declaration of Helsinki, and approved by the Institutional Review Board of KMUH (KMUHIRB-G(II)-20160024 and approved on 3 February 2017).

Informed Consent Statement

Informed consent was obtained from all subjects involved in the study.

Data Availability Statement

The data presented in this study are openly available in FigShare at: https://doi.org/10.6084/m9.figshare.20315697.v2 and https://doi.org/10.6084/m9.figshare.20317428.v1; accessed on 15 July 2022.

Acknowledgments

We thank the members of the investigated families for participating in this study and Rampoldi for kindly providing the HA-tagged wildtype uromodulin construct (pCDNA3.1- uromodulin -WT). The authors acknowledge the Genomics Center for Clinical and Biotechnological Applications of National Core Facility for Biopharmaceuticals, Taiwan (MOST 110-2740-B-A49A-501), for sequencing.

Conflicts of Interest

The authors declare no conflict of interest.

References

  1. Hart, T.C.; Gorry, M.C.; Hart, P.S.; Woodard, A.S.; Shihabi, Z.; Sandhu, J.; Shirts, B.; Xu, L.; Zhu, H.; Barmada, M.M.; et al. Mutations of the UMOD gene are responsible for medullary cystic kidney disease 2 and familial juvenile hyperuricaemic nephropathy. J. Med Genet. 2002, 39, 882–892. [Google Scholar] [CrossRef] [PubMed]
  2. Knaup, K.X.; Hackenbeck, T.; Popp, B.; Stoeckert, J.; Wenzel, A.; Buttner-Herold, M.; Pfister, F.; Schueler, M.; Seven, D.; May, A.M.; et al. Biallelic Expression of Mucin-1 in Autosomal Dominant Tubulointerstitial Kidney Disease: Implications for Nongenetic Disease Recognition. J. Am. Soc. Nephrol. 2018, 29, 2298–2309. [Google Scholar] [CrossRef] [PubMed]
  3. Bingham, C.; Ellard, S.; van’t Hoff, W.G.; Simmonds, H.A.; Marinaki, A.M.; Badman, M.K.; Winocour, P.H.; Stride, A.; Lockwood, C.R.; Nicholls, A.J.; et al. Atypical familial juvenile hyperuricemic nephropathy associated with a hepatocyte nuclear factor-1beta gene mutation. Kidney Int. 2003, 63, 1645–1651. [Google Scholar] [CrossRef]
  4. Zivna, M.; Hulkova, H.; Matignon, M.; Hodanova, K.; Vylet’al, P.; Kalbacova, M.; Baresova, V.; Sikora, J.; Blazkova, H.; Zivny, J.; et al. Dominant renin gene mutations associated with early-onset hyperuricemia, anemia, and chronic kidney failure. Am. J. Hum. Genet. 2009, 85, 204–213. [Google Scholar] [CrossRef]
  5. Bolar, N.A.; Golzio, C.; Zivna, M.; Hayot, G.; Van Hemelrijk, C.; Schepers, D.; Vandeweyer, G.; Hoischen, A.; Huyghe, J.R.; Raes, A.; et al. Heterozygous Loss-of-Function SEC61A1 Mutations Cause Autosomal-Dominant Tubulo-Interstitial and Glomerulocystic Kidney Disease with Anemia. Am. J. Hum. Genet. 2016, 99, 174–187. [Google Scholar] [CrossRef]
  6. Olinger, E.; Hofmann, P.; Kidd, K.; Dufour, I.; Belge, H.; Schaeffer, C.; Kipp, A.; Bonny, O.; Deltas, C.; Demoulin, N.; et al. Clinical and genetic spectra of autosomal dominant tubulointerstitial kidney disease due to mutations in UMOD and MUC1. Kidney Int. 2020, 98, 717–731. [Google Scholar] [CrossRef]
  7. Gast, C.; Marinaki, A.; Arenas-Hernandez, M.; Campbell, S.; Seaby, E.G.; Pengelly, R.J.; Gale, D.P.; Connor, T.M.; Bunyan, D.J.; Hodanova, K.; et al. Autosomal dominant tubulointerstitial kidney disease-UMOD is the most frequent non polycystic genetic kidney disease. BMC Nephrol. 2018, 19, 301. [Google Scholar] [CrossRef]
  8. Groopman, E.E.; Marasa, M.; Cameron-Christie, S.; Petrovski, S.; Aggarwal, V.S.; Milo-Rasouly, H.; Li, Y.; Zhang, J.; Nestor, J.; Krithivasan, P.; et al. Diagnostic Utility of Exome Sequencing for Kidney Disease. N. Engl. J. Med. 2019, 380, 142–151. [Google Scholar] [CrossRef]
  9. Devuyst, O.; Olinger, E.; Rampoldi, L. Uromodulin: From physiology to rare and complex kidney disorders. Nat. Rev. Nephrol. 2017, 13, 525–544. [Google Scholar] [CrossRef] [PubMed]
  10. Tokonami, N.; Takata, T.; Beyeler, J.; Ehrbar, I.; Yoshifuji, A.; Christensen, E.I.; Loffing, J.; Devuyst, O.; Olinger, E.G. Uromodulin is expressed in the distal convoluted tubule, where it is critical for regulation of the sodium chloride cotransporter NCC. Kidney Int. 2018, 94, 701–715. [Google Scholar] [CrossRef] [Green Version]
  11. Schaeffer, C.; Santambrogio, S.; Perucca, S.; Casari, G.; Rampoldi, L. Analysis of uromodulin polymerization provides new insights into the mechanisms regulating ZP domain-mediated protein assembly. Mol. Biol. Cell 2009, 20, 589–599. [Google Scholar] [CrossRef] [PubMed]
  12. Brunati, M.; Perucca, S.; Han, L.; Cattaneo, A.; Consolato, F.; Andolfo, A.; Schaeffer, C.; Olinger, E.; Peng, J.; Santambrogio, S.; et al. The serine protease hepsin mediates urinary secretion and polymerisation of Zona Pellucida domain protein uromodulin. Elife 2015, 4, e08887. [Google Scholar] [CrossRef] [PubMed]
  13. Santambrogio, S.; Cattaneo, A.; Bernascone, I.; Schwend, T.; Jovine, L.; Bachi, A.; Rampoldi, L. Urinary uromodulin carries an intact ZP domain generated by a conserved C-terminal proteolytic cleavage. Biochem. Biophys. Res. Commun. 2008, 370, 410–413. [Google Scholar] [CrossRef] [PubMed]
  14. Mo, L.; Huang, H.Y.; Zhu, X.H.; Shapiro, E.; Hasty, D.L.; Wu, X.R. Tamm-Horsfall protein is a critical renal defense factor protecting against calcium oxalate crystal formation. Kidney Int. 2004, 66, 1159–1166. [Google Scholar] [CrossRef]
  15. Mo, L.; Zhu, X.H.; Huang, H.Y.; Shapiro, E.; Hasty, D.L.; Wu, X.R. Ablation of the Tamm-Horsfall protein gene increases susceptibility of mice to bladder colonization by type 1-fimbriated Escherichia coli. Am. J. Physiol. Physiol. 2004, 286, F795–F802. [Google Scholar] [CrossRef]
  16. Raffi, H.S.; Bates, J.M., Jr.; Laszik, Z.; Kumar, S. Tamm-horsfall protein protects against urinary tract infection by proteus mirabilis. J. Urol. 2009, 181, 2332–2338. [Google Scholar] [CrossRef]
  17. Darisipudi, M.N.; Thomasova, D.; Mulay, S.R.; Brech, D.; Noessner, E.; Liapis, H.; Anders, H.J. Uromodulin triggers IL-1beta-dependent innate immunity via the NLRP3 inflammasome. J. Am. Soc. Nephrol. 2012, 23, 1783–1789. [Google Scholar] [CrossRef]
  18. Schaeffer, C.; Devuyst, O.; Rampoldi, L. Uromodulin: Roles in Health and Disease. Annu. Rev. Physiol. 2021, 83, 477–501. [Google Scholar] [CrossRef]
  19. Trudu, M.; Janas, S.; Lanzani, C.; Debaix, H.; Schaeffer, C.; Ikehata, M.; Citterio, L.; Demaretz, S.; Trevisani, F.; Ristagno, G.; et al. Common noncoding UMOD gene variants induce salt-sensitive hypertension and kidney damage by increasing uromodulin expression. Nat. Med. 2013, 19, 1655–1660. [Google Scholar] [CrossRef]
  20. Rampoldi, L.; Caridi, G.; Santon, D.; Boaretto, F.; Bernascone, I.; Lamorte, G.; Tardanico, R.; Dagnino, M.; Colussi, G.; Scolari, F.; et al. Allelism of MCKD, FJHN and GCKD caused by impairment of uromodulin export dynamics. Hum. Mol. Genet. 2003, 12, 3369–3384. [Google Scholar] [CrossRef] [Green Version]
  21. Williams, S.E.; Reed, A.A.; Galvanovskis, J.; Antignac, C.; Goodship, T.; Karet, F.E.; Kotanko, P.; Lhotta, K.; Moriniere, V.; Williams, P.; et al. Uromodulin mutations causing familial juvenile hyperuricaemic nephropathy lead to protein maturation defects and retention in the endoplasmic reticulum. Hum. Mol. Genet. 2009, 18, 2963–2974. [Google Scholar] [CrossRef] [PubMed]
  22. Schaeffer, C.; Merella, S.; Pasqualetto, E.; Lazarevic, D.; Rampoldi, L. Mutant uromodulin expression leads to altered homeostasis of the endoplasmic reticulum and activates the unfolded protein response. PLoS ONE 2017, 12, e0175970. [Google Scholar] [CrossRef]
  23. Utami, S.B.; Mahati, E.; Li, P.; Maharani, N.; Ikeda, N.; Bahrudin, U.; Munemura, C.; Hosoyamada, M.; Yamamoto, Y.; Yoshida, A.; et al. Apoptosis induced by an uromodulin mutant C112Y and its suppression by topiroxostat. Clin. Exp. Nephrol. 2015, 19, 576–584. [Google Scholar] [CrossRef] [PubMed]
  24. Lhotta, K.; Gehringer, A.; Jennings, P.; Kronenberg, F.; Brezinka, C.; Andersone, I.; Strazdins, V. Familial juvenile hyperuricemic nephropathy: Report on a new mutation and a pregnancy. Clin. Nephrol. 2009, 71, 80–83. [Google Scholar] [CrossRef] [PubMed]
  25. Onoe, T.; Hara, S.; Yamada, K.; Zoshima, T.; Mizushima, I.; Ito, K.; Mori, T.; Daimon, S.; Muramoto, H.; Shimizu, M.; et al. Significance of kidney biopsy in autosomal dominant tubulointerstitial kidney disease-UMOD: Is kidney biopsy truly nonspecific? BMC Nephrol. 2021, 22, 1–11. [Google Scholar] [CrossRef]
  26. Hwang, S.J.; Tsai, J.C.; Chen, H.C. Epidemiology, impact and preventive care of chronic kidney disease in Taiwan. Nephrology 2010, 15 (Suppl. S2), 3–9. [Google Scholar] [CrossRef]
  27. Rodrigues, C.H.; Pires, D.E.; Ascher, D.B. DynaMut: Predicting the impact of mutations on protein conformation, flexibility and stability. Nucleic Acids Res. 2018, 46, W350–W355. [Google Scholar] [CrossRef]
  28. Ferre, F.; Clote, P. Disulfide connectivity prediction using secondary structure information and diresidue frequencies. Bioinformatics 2005, 21, 2336–2346. [Google Scholar] [CrossRef]
  29. Ferre, F.; Clote, P. DiANNA: A web server for disulfide connectivity prediction. Nucleic Acids Res. 2005, 33, W230–W232. [Google Scholar] [CrossRef]
  30. Ferre, F.; Clote, P. DiANNA 1.1: An extension of the DiANNA web server for ternary cysteine classification. Nucleic Acids Res. 2006, 34, W182–W185. [Google Scholar] [CrossRef] [Green Version]
  31. Bernascone, I.; Vavassori, S.; Di Pentima, A.; Santambrogio, S.; Lamorte, G.; Amoroso, A.; Scolari, F.; Ghiggeri, G.M.; Casari, G.; Polishchuk, R.; et al. Defective intracellular trafficking of uromodulin mutant isoforms. Traffic 2006, 7, 1567–1579. [Google Scholar] [CrossRef] [PubMed]
  32. Bleyer, A.J.; Kidd, K.; Zivna, M.; Kmoch, S. Autosomal Dominant Tubulointerstitial Kidney Disease—UMOD. In GeneReviews((R)); Adam, M.P., Ardinger, H.H., Pagon, R.A., Wallace, S.E., Bean, L.J.H., Gripp, K.W., Mirzaa, G.M., Amemiya, A., Eds.; University of Washington: Seattle, WA, USA, 1993. [Google Scholar]
  33. de Boer, I.H.; Alpers, C.E.; Azeloglu, E.U.; Balis, U.G.J.; Barasch, J.M.; Barisoni, L.; Blank, K.N.; Bomback, A.S.; Brown, K.; Dagher, P.C.; et al. Rationale and design of the Kidney Precision Medicine Project. Kidney Int. 2021, 99, 498–510. [Google Scholar] [CrossRef] [PubMed]
  34. Kidd, K.; Vylet’al, P.; Schaeffer, C.; Olinger, E.; Zivna, M.; Hodanova, K.; Robins, V.; Johnson, E.; Taylor, A.; Martin, L.; et al. Genetic and Clinical Predictors of Age of ESKD in Individuals With Autosomal Dominant Tubulointerstitial Kidney Disease Due to UMOD Mutations. Kidney Int. Rep. 2020, 5, 1472–1485. [Google Scholar] [CrossRef]
  35. Bollee, G.; Dahan, K.; Flamant, M.; Moriniere, V.; Pawtowski, A.; Heidet, L.; Lacombe, D.; Devuyst, O.; Pirson, Y.; Antignac, C.; et al. Phenotype and outcome in hereditary tubulointerstitial nephritis secondary to UMOD mutations. Clin. J. Am. Soc. Nephrol. 2011, 6, 2429–2438. [Google Scholar] [CrossRef]
  36. Liu, M.; Chen, Y.; Liang, Y.; Liu, Y.; Wang, S.; Hou, P.; Zhang, H.; Zhao, M. Novel UMOD mutations in familial juvenile hyperuricemic nephropathy lead to abnormal uromodulin intracellular trafficking. Gene 2013, 531, 363–369. [Google Scholar] [CrossRef] [PubMed]
  37. Wei, X.; Xu, R.; Yang, Z.; Li, Z.; Liao, Y.; Johnson, R.J.; Yu, X.; Chen, W. Novel uromodulin mutation in familial juvenile hyperuricemic nephropathy. Am. J. Nephrol. 2012, 36, 114–120. [Google Scholar] [CrossRef]
  38. Lee, D.H.; Kim, J.K.; Oh, S.E.; Noh, J.W.; Lee, Y.K. A case of familial juvenile hyperuricemic nephropathy with novel uromodulin gene mutation, a novel heterozygous missense mutation in Korea. J. Korean Med Sci. 2010, 25, 1680–1682. [Google Scholar] [CrossRef]
  39. Carucci, N.S.; Caridi, G.; Lugani, F.; Barone, C.; Conti, G. A novel UMOD gene mutation associated with chronic kidney failure at a young age. Clin. Nephrol. 2019, 92, 151–155. [Google Scholar] [CrossRef]
  40. Vylet’al, P.; Kublova, M.; Kalbacova, M.; Hodanova, K.; Baresova, V.; Stiburkova, B.; Sikora, J.; Hulkova, H.; Zivny, J.; Majewski, J.; et al. Alterations of uromodulin biology: A common denominator of the genetically heterogeneous FJHN/MCKD syndrome. Kidney Int. 2006, 70, 1155–1169. [Google Scholar] [CrossRef]
  41. Padmanabhan, S.; Graham, L.; Ferreri, N.R.; Graham, D.; McBride, M.; Dominiczak, A.F. Uromodulin, an emerging novel pathway for blood pressure regulation and hypertension. Hypertension 2014, 64, 918–923. [Google Scholar] [CrossRef] [Green Version]
  42. Kreft, B.; Jabs, W.J.; Laskay, T.; Klinger, M.; Solbach, W.; Kumar, S.; van Zandbergen, G. Polarized expression of Tamm-Horsfall protein by renal tubular epithelial cells activates human granulocytes. Infect. Immun. 2002, 70, 2650–2656. [Google Scholar] [CrossRef] [PubMed]
  43. Rampoldi, L.; Scolari, F.; Amoroso, A.; Ghiggeri, G.; Devuyst, O. The rediscovery of uromodulin (Tamm-Horsfall protein): From tubulointerstitial nephropathy to chronic kidney disease. Kidney Int. 2011, 80, 338–347. [Google Scholar] [CrossRef]
  44. Piret, S.E.; Olinger, E.; Reed, A.A.C.; Nesbit, M.A.; Hough, T.A.; Bentley, L.; Devuyst, O.; Cox, R.D.; Thakker, R.V. A mouse model for inherited renal fibrosis associated with endoplasmic reticulum stress. Dis. Model. Mech. 2017, 10, 773–786. [Google Scholar] [CrossRef] [PubMed]
  45. Micanovic, R.; LaFavers, K.; Garimella, P.S.; Wu, X.R.; El-Achkar, T.M. Uromodulin (Tamm-Horsfall protein): Guardian of urinary and systemic homeostasis. Nephrol. Dial. Transplant. 2020, 35, 33–43. [Google Scholar] [CrossRef] [PubMed]
  46. Turner, J.J.; Stacey, J.M.; Harding, B.; Kotanko, P.; Lhotta, K.; Puig, J.G.; Roberts, I.; Torres, R.J.; Thakker, R.V. UROMODULIN mutations cause familial juvenile hyperuricemic nephropathy. J. Clin. Endocrinol. Metab. 2003, 88, 1398–1401. [Google Scholar] [CrossRef]
  47. Serafini-Cessi, F.; Malagolini, N.; Hoops, T.C.; Rindler, M.J. Biosynthesis and oligosaccharide processing of human Tamm-Horsfall glycoprotein permanently expressed in HeLa cells. Biochem. Biophys. Res. Commun. 1993, 194, 784–790. [Google Scholar] [CrossRef]
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Figure 1. Pedigree and Sanger sequencing electropherogram showing UMOD variants in DY5 and WG families. (a) In the DY5 family, the UMOD p.Gly60Asp variant was shared among all the affected individuals. All the affected members had hyperuricemia but no gout episode and entered KF between the ages of 26 and 41. (b) The UMOD p.Cys41Arg variant was identified in the WG family. The affected members had gout, hyperuricemia, and CKD or KF. (c) The amino acids of Cys41 and Gly60 are well-conserved across different species.
Figure 1. Pedigree and Sanger sequencing electropherogram showing UMOD variants in DY5 and WG families. (a) In the DY5 family, the UMOD p.Gly60Asp variant was shared among all the affected individuals. All the affected members had hyperuricemia but no gout episode and entered KF between the ages of 26 and 41. (b) The UMOD p.Cys41Arg variant was identified in the WG family. The affected members had gout, hyperuricemia, and CKD or KF. (c) The amino acids of Cys41 and Gly60 are well-conserved across different species.
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Figure 2. The clinical data from DY5 III-2. (a) Age versus estimated glomerular filtration rate (eGFR); the correlation between age and eGFR was analyzed by linear regression. The regression line was included, and eGFR was significantly decreased while aging. (b) MRI at the age of 29 showed that the contour of the bilateral kidneys was lobulated with some small cysts in the medullary pyramid, while the left kidney was smaller in size and thinner in the cortex compared to the right.
Figure 2. The clinical data from DY5 III-2. (a) Age versus estimated glomerular filtration rate (eGFR); the correlation between age and eGFR was analyzed by linear regression. The regression line was included, and eGFR was significantly decreased while aging. (b) MRI at the age of 29 showed that the contour of the bilateral kidneys was lobulated with some small cysts in the medullary pyramid, while the left kidney was smaller in size and thinner in the cortex compared to the right.
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Figure 3. Uromodulin expression profile in transient-transfected HEK293 cells. (a) After 24 h of transient transfection with an equal number of HEK293 cells, a similar amount of uromodulin protein could be identified in the whole-cell lysates of WT and mutant-transfected cells. The uromodulin portion condensed from the culture medium was higher in WT compared to the other two groups. (b) Wildtype transfected cells had a higher uromodulin content in the culture medium (6 ng/mL at 48 h) compared with the two mutants (3 ng/mL at 48 h). The statistic results were presented as ** (p < 0.01) and *** (p < 0.001). (c) Membrane portions and (d) cytosol portions of WT, G60D, and C41R transfected cells were collected after 24hr after transient transfection. The western blot showed that WT uromodulin had influential bands around 100kDa, and only faint signals were detected in the G60D and C41R uromodulin membrane portions. In contrast, uromodulin gradually increased over time and showed a similar expression pattern among the three groups. E-cadherin is represented as a membrane marker, while a-tubulin is a cytosol marker. WT: wildtype; G60D: p.Gly60Asp; C41R: p.Cys41Arg.
Figure 3. Uromodulin expression profile in transient-transfected HEK293 cells. (a) After 24 h of transient transfection with an equal number of HEK293 cells, a similar amount of uromodulin protein could be identified in the whole-cell lysates of WT and mutant-transfected cells. The uromodulin portion condensed from the culture medium was higher in WT compared to the other two groups. (b) Wildtype transfected cells had a higher uromodulin content in the culture medium (6 ng/mL at 48 h) compared with the two mutants (3 ng/mL at 48 h). The statistic results were presented as ** (p < 0.01) and *** (p < 0.001). (c) Membrane portions and (d) cytosol portions of WT, G60D, and C41R transfected cells were collected after 24hr after transient transfection. The western blot showed that WT uromodulin had influential bands around 100kDa, and only faint signals were detected in the G60D and C41R uromodulin membrane portions. In contrast, uromodulin gradually increased over time and showed a similar expression pattern among the three groups. E-cadherin is represented as a membrane marker, while a-tubulin is a cytosol marker. WT: wildtype; G60D: p.Gly60Asp; C41R: p.Cys41Arg.
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Figure 4. Uromodulin 3D structure and disulfide bond prediction. WT versus C41R (a) and WT versus G60D (b) were processed using DynaMut software. WT and mutant residues are colored in light green and are represented by sticks alongside the surrounding residues, which are involved in hydrogen bonds, weak hydrogen bonds, and ionic interactions. (c) Disulfide bond prediction of G60D and C41R uromodulin was analyzed using DiANNA software. The 24 disulfide bond positions and sequences of WT uromodulin are listed, and the prediction model shows that multiple disulfide bonds might be affected by C41R and G60D variants. WT: wildtype; G60D: p.Gly60Asp; C41R: p.Cys41Arg.
Figure 4. Uromodulin 3D structure and disulfide bond prediction. WT versus C41R (a) and WT versus G60D (b) were processed using DynaMut software. WT and mutant residues are colored in light green and are represented by sticks alongside the surrounding residues, which are involved in hydrogen bonds, weak hydrogen bonds, and ionic interactions. (c) Disulfide bond prediction of G60D and C41R uromodulin was analyzed using DiANNA software. The 24 disulfide bond positions and sequences of WT uromodulin are listed, and the prediction model shows that multiple disulfide bonds might be affected by C41R and G60D variants. WT: wildtype; G60D: p.Gly60Asp; C41R: p.Cys41Arg.
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Table
Table 1. Characteristics of UMOD variants in CKD individuals.
Table 1. Characteristics of UMOD variants in CKD individuals.
FamilyNucleotide
Change		Amino Acid
Change		ACMG
Classification		Final VerdictClin
Var		In Vitro FunctiondbSNPAllele
Frequency
WGc.121T > Cp.Cys41ArgLP 1LP Delayed maturation and decreased extracellular excretion
DY5c.179G > Ap.Gly60AspVUS 2LP Delayed maturation and decreased extracellular excretion
CKD401c.817G > Tp.Val273PheVUS 3LPLPNot performedrs1219177740.00006
(1/16760, 8.3KJPN)
Abbreviation: LP, likely pathogenic; VUS, variant of uncertain significance. 1 PM1: moderate, PM2: supporting, PP1: supporting, PP2: supporting, PP3: supporting. 2 PM1: supporting, PM2: supporting, PP1: supporting, PP2: supporting, PP3: supporting. 3 PM1: supporting, PM2: supporting, PP1: supporting, PP2: supporting, PP3: supporting.
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Chen, H.-D.; Yu, C.-C.; Yang, I.-H.; Hung, C.-C.; Kuo, M.-C.; Tarng, D.-C.; Chang, J.-M.; Hwang, D.-Y. UMOD Mutations in Chronic Kidney Disease in Taiwan. Biomedicines 2022, 10, 2265. https://doi.org/10.3390/biomedicines10092265

AMA Style

Chen H-D, Yu C-C, Yang I-H, Hung C-C, Kuo M-C, Tarng D-C, Chang J-M, Hwang D-Y. UMOD Mutations in Chronic Kidney Disease in Taiwan. Biomedicines. 2022; 10(9):2265. https://doi.org/10.3390/biomedicines10092265

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Chen, Huan-Da, Chih-Chuan Yu, I-Hsiao Yang, Chi-Chih Hung, Mei-Chuan Kuo, Der-Cherng Tarng, Jer-Ming Chang, and Daw-Yang Hwang. 2022. "UMOD Mutations in Chronic Kidney Disease in Taiwan" Biomedicines 10, no. 9: 2265. https://doi.org/10.3390/biomedicines10092265

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