A Proposal for Practical Diagnosis of Renal Hypouricemia: Evidenced from Genetic Studies of Nonfunctional Variants of URAT1/SLC22A12 among 30,685 Japanese Individuals

Background: Renal hypouricemia (RHUC) is characterized by a low serum uric acid (SUA) level and high fractional excretion of uric acid (FEUA). Further studies on FEUA in hypouricemic individuals are needed for a more accurate diagnosis of RHUC. Methods: In 30,685 Japanese health-examination participants, we genotyped the two most common nonfunctional variants of URAT1 (NFV-URAT1), W258X (rs121907892) and R90H (rs121907896), in 1040 hypouricemic individuals (SUA ≤ 3.0 mg/dL) and 2240 individuals with FEUA data. The effects of NFV-URAT1 on FEUA and SUA were also investigated using linear and multiple regression analyses. Results: Frequency of hypouricemic individuals (SUA ≤ 3.0 mg/dL) was 0.97% (male) and 6.94% (female) among 30,685 participants. High frequencies of those having at least one allele of NFV-URAT1 were observed in 1040 hypouricemic individuals. Furthermore, NFV-URAT1 significantly increased FEUA and decreased SUA, enabling FEUA and SUA levels to be estimated. Conversely, FEUA and SUA data of hypouricemic individuals are revealed to be useful to predict the number of NFV-URAT1. Conclusions: Our findings reveal that specific patterns of FEUA and SUA data assist with predicting the number of nonfunctional variants of causative genes for RHUC, and can also be useful for practical diagnosis of RHUC even before genetic tests.

Several urate transporters play an important physiological role in urate handling by urate excretion and reabsorption from the human kidney. SLC22A12/URAT1 is a causative gene for RHUC type 1 [2], and its nonfunctional variants of URAT1 (NFV-URAT1), W258X (rs121907892) and R90H (rs121907896), are reportedly the two most common causative variants in the Japanese population [6,7].
Several studies have previously reported the distribution of SUA levels in large Japanese populations [3,[8][9][10]. Although the frequency of NFV-URAT1 is relatively high in Japanese people, the frequency of NFV-URAT1 in those with lower SUA (≤3.0 mg/dL) has not been studied in Japan or elsewhere. Furthermore, the effect size on FE UA of the number of alleles for NFV-URAT1 has never been clarified.
This state of affairs prompted us to investigate, in this study, the frequency of NFV-URAT1 in 1040 hypouricemic individuals (SUA ≤ 3.0 mg/dL) among 30,685 Japanese individuals undergoing health examinations. Using genetic analyses of these Japanese individuals, we evaluated the effect of NFV-URAT1 on FE UA with the aim of being able to predict the presence and number of NFV-URAT1 from their FE UA and SUA levels. This should lead to a more practical diagnosis of RHUC from patients' laboratory data.

Study Participants
This study was approved by the National Defense Medical College and Nagoya University's institutional ethical committees. We performed all the processes in accordance with the Declaration of Helsinki.
All the 30,685 Japanese participants (13,607 males and 17,078 females) in this study were recruited from participants in health examinations in the Shizuoka, Daiko (Aichi), Tokushima, Saga and Kagoshima areas in the Japan Multi-Institutional Collaborative Cohort Study (J-MICC Study) [11,12]. Written informed consent was obtained from each participant.

Data Analysis
Linear regression analyses were performed to evaluate the influence of the allele of NFV-URAT1 on FE UA or SUA. We also carried out multiple regression analysis in a stepwise method using the following equation: y = β 0 + β 1 x 1 + β 2 x 2 , where y is FE UA or SUA levels, x 1 is a dummy variable representing whether the number of alleles of NFV-URAT1 is one (one allele = 1 and other = 0), x 2 is a dummy variable representing whether the number of alleles of NFV-URAT1 is two (two alleles = 1 and other = 0) and β 0 , β 1 and β 2 are partial regression coefficients for each covariate. We used SPSS v. 22 (IBM Japan, Tokyo, Japan) for all calculations in the statistical analyses carried out in this study. Table 1 shows the distribution of SUA levels of the 30,685 Japanese health examination participants (13,607 males and 17,078 females). Among the 30,685 participants, the prevalence of hypouricemia (SUA ≤ 2.0 mg/dL) was 0.18% in males and 0.54% in females. Mild hypouricemia (2.0 < SUA ≤ 3.0 mg/dL) was observed in 107 males (0.79%) and 1093 females (6.40%). Hypouricemic individuals (SUA ≤ 3.0 mg/dL) consisted of 131 males (0.97%) and 1186 females (6.94%). The frequency of moderate hypouricemia in males (1.0 < SUA ≤ 2.0 mg/dL) was 0.03%, the fewest in all male participants according to the ranked classification of SUA used in this study (Table 1). Contrary to the pattern seen in hypouricemic individuals (SUA ≤ 3.0 mg/dL), the frequency of hyperuricemia (SUA > 7.0 mg/dL) was 20.28% for males and 1.11% for females.

Frequency of NFV-URAT1 in Hypouricemic Individuals
As displayed in Figure 1, 1040 hypouricemic individuals (SUA ≤ 3.0 mg/dL) were selected from the whole population of participants to investigate the frequency of NFV-URAT1. The characteristics of these hypouricemic individuals (SUA ≤ 3.0 mg/dL) are shown in Table 2. Table 3 indicates the relationship between the number of NFV-URAT1 and hypouricemic populations. As shown here, those with two NFV-URAT1 alleles were seen only in severe hypouricemia in both sexes. For mild hypouricemia, the largest population was males with one NFV-URAT1 allele, although it was those with 0 alleles in females. Of the mild hypouricemia individuals, at least two thirds of the males and one third of the females were assumed to be the "mild" RHUC type 1 due to having only one NFV-URAT1 allele.

Frequency of NFV-URAT1 in Hypouricemic Individuals
As displayed in Figure 1, 1040 hypouricemic individuals (SUA ≤ 3.0 mg/dL) were selected from the whole population of participants to investigate the frequency of NFV-URAT1. The characteristics of these hypouricemic individuals (SUA ≤ 3.0 mg/dL) are shown in Table 2. Table 3 indicates the relationship between the number of NFV-URAT1 and hypouricemic populations. As shown here, those with two NFV-URAT1 alleles were seen only in severe hypouricemia in both sexes. For mild hypouricemia, the largest population was males with one NFV-URAT1 allele, although it was those with 0 alleles in females. Of the mild hypouricemia individuals, at least two thirds of the males and one third of the females were assumed to be the "mild" RHUC type 1 due to having only one NFV-URAT1 allele. Figure 1. Selection of participants for each analysis. We first collected SUA data from 30,685 Japanese participants (13,607 males and 17,078 females) to gain an understanding of the distribution of SUA levels in the Japanese general population. Second, to investigate the frequency of NFV-URAT1 alleles, 1040 hypouricemic individuals (108 males and 932 females) with SUA of ≤3.0 mg/dL and whose genomic DNA samples were available were selected from 1317 hypouricemic individuals. Third, to evaluate the relationship between NFV-URAT1 and FEUA or SUA, 2240 individuals (1542 males and 698 females) whose FEUA data were available were also selected from all 30,685 participants. SUA, serum uric acid; FEUA, fractional excretion of uric acid; NFV-URAT1, nonfunctional variants of URAT1. See Figure 1 for the selection of 1040 hypouricemic individuals (SUA ≤ 3.0 mg/dL) from 30,685 Japanese health examination participants. Plus/minus values are means ± SD. BMI, body mass index; SUA, serum uric acid. Figure 1. Selection of participants for each analysis. We first collected SUA data from 30,685 Japanese participants (13,607 males and 17,078 females) to gain an understanding of the distribution of SUA levels in the Japanese general population. Second, to investigate the frequency of NFV-URAT1 alleles, 1040 hypouricemic individuals (108 males and 932 females) with SUA of ≤3.0 mg/dL and whose genomic DNA samples were available were selected from 1317 hypouricemic individuals. Third, to evaluate the relationship between NFV-URAT1 and FE UA or SUA, 2240 individuals (1542 males and 698 females) whose FE UA data were available were also selected from all 30,685 participants. SUA, serum uric acid; FE UA , fractional excretion of uric acid; NFV-URAT1, nonfunctional variants of URAT1. See Figure 1 for the selection of 1040 hypouricemic individuals (SUA ≤ 3.0 mg/dL) from 30,685 Japanese health examination participants. Plus/minus values are means ± SD. BMI, body mass index; SUA, serum uric acid.  Figure 1 for the selection of 1040 hypouricemic individuals (SUA ≤ 3.0 mg/dL) from 30,685 Japanese health examination participants. W258X and R90H, the two most common variants of URAT1, were selected as NFV-URAT1 in this study. NFV-URAT1, nonfunctional variants of URAT1; SUA, serum uric acid.

Discussion
In this study, we demonstrated the prevalence of hypouricemia (SUA ≤ 2.0 mg/dL) and mild hypouricemia (2.0 < SUA ≤ 3.0 mg/dL) in a general Japanese population (Table 1), the frequency of NFV-URAT1 in hypouricemic individuals (Table 3) and the effect of NFV-URAT1 on FE UA and SUA (Figure 2, Table 4; Table 5).
The prevalence of hypouricemia (SUA ≤ 2.0 mg/dL) was 0.18% for males and 0.54% for females in the present study (Table 1), which is consistent with previous reports and the clinical practice guideline for RHUC [1,8,10]. The prevalence of hypouricemia (SUA ≤ 2.0 mg/dL) in the previous report [1] was approximately 0.2% for males and 0.4% for females in the general Japanese population. The prevalence of mild hypouricemia (2.0 < SUA ≤ 3.0 mg/dL) and hypouricemic individuals (SUA ≤ 3.0 mg/dL) was also reported in the present study. The prevalence of moderate hypouricemia (1.0 < SUA ≤ 2.0 mg/dL) was 0.03% for males, the lowest among all the participants (Table 1), also consistent with previous reports [3,10].
Although the frequency of NFV-URAT1 is high in Japanese [1] and European Roma populations [14,15], this is the first report on the frequencies of those having 0, 1 and 2 alleles of NFV-URAT1 (W258X and R90H) in the general population of hypouricemia and mild hypouricemia individuals (SUA ≤ 3.0 mg/dL).
High frequencies of NFV-URAT1 (in total 85.7% and 73.7% in males and females) are observed among hypouricemia (SUA ≤ 2.0 mg/dL; Table 3), suggesting that more than 70% of hypouricemic individuals (SUA ≤ 2.0 mg/dL) appear to have RHUC type 1 due to one or two NFV-URAT1 alleles. Table 3 also indicates that even in mild hypouricemia (2.0 < SUA ≤ 3.0 mg/dL), at least two thirds of men and one third of women are estimated to be the "mild" RHUC type 1 due to the presence of only one NFV-URAT1. These results indicate that RHUC or "mild" RHUC should be suspected when examining hypouricemic individuals (SUA ≤ 3.0 mg/dL), as the clinical practice guideline for RHUC recommends in its clinical algorithm [1,16]. This study, however, was performed focusing solely on the two most common NFV-URAT1 alleles (W258X and R90H). Further studies to identify other known dysfunctional variants [2,6,[17][18][19][20] are needed, as well as the genotyping of novel variants of URAT1 to be able to more accurately elucidate the frequency of RHUC type 1 in hypouricemic individuals (SUA ≤ 3.0 mg/dL).
We have for the first time demonstrated that NFV-URAT1 significantly increases FE UA and decreases SUA, using 2240 individuals whose FE UA data were available ( Figure 2). Furthermore, as shown in Table 5, we have proven that FE UA and SUA levels can be estimated from the number of alleles of NFV-URAT1 (W258X and R90H). We also suggest that it is possible to predict the presence and number of NFV-URAT1 alleles from laboratory data (FE UA and SUA levels). Of 52 hypouricemic individuals, 4 individuals (Cases Nos. 1-4 in Table 4), with 2 NFV-URAT1 alleles, exhibited severe hypouricemia and high FE UA . On the other hand, most of the other 48 hypouricemic individuals (Case Nos. 5-52 in Table 4), with 1 or 0 NFV-URAT1 alleles, exhibited mild hypouricemia and showed normal or slightly high FE UA . In other words, the high FE UA that is seen in severe hypouricemia is a useful predictor of the presence of two NFV-URAT1 alleles, and the normal or slightly high FE UA seen in mild hypouricemia also helps to predict the presence of one or zero NFV-URAT1 alleles.
The limitations of the present study are as follows: (1) menopausal status was not considered, and (2) the influence of environmental factors such as alcohol intake and medications were not adjusted. Further analyses will be necessary to elucidate the effects of these factors.
From these findings, together with previous reports [3,6,21,22], we hereby propose a more efficient method of diagnosis of RHUC based on FE UA and SUA data (Figure 3), when physicians detect and examine hypouricemic individuals (SUA ≤ 3.0 mg/dL) (Figure 3a). With hypouricemia, especially severe hypouricemia (SUA ≤ 1.0 mg/dL) (Figure 3b), we propose the following three differential diagnoses (Figure 3c-j): (1) When the FE UA data of severe hypouricemia patients are high (typically FE UA ; 25-90%) (Figure 3c), these patients are predicted to be RHUC type 1 [6] (Figure 3h) because the laboratory data suggest that they should have two nonfunctional variants of URAT1 (Figure 3f). (2) When the FE UA data of severe hypouricemia patients are extremely high (typically FE UA > 100%) (Figure 3d), these patients are predicted to be RHUC type 2 [21,22] (Figure 3i) because they are likely to have two nonfunctional variants of GLUT9 (Figure 3g). (3) When the FE UA data are not high and urinary uric acid (UA) levels are nearly zero in severe hypouricemia patients (Figure 3e), they are suspected of having xanthinuria [23] (Figure 3j). With mild hypouricemia (2.0 < SUA ≤ 3.0 mg/dL) (Figure 3k), their FE UA data are usually normal or slightly high (typically FE UA ; 5-15%) (Figure 3l), and they are predicted to have one or zero nonfunctional variants of URAT1 or GLUT9 (Figure 3m). Detection of one nonfunctional variant of URAT1 (Figure 3n) or GLUT9 (Figure 3o) by genetic analyses is necessary to make a diagnosis of RHUC type 1 (Figure 3q) or type 2 [3] (Figure 3r). If nonfunctional variants of URAT1 or GLUT9 are not detected (Figure 3p), physicians should consider differential diagnosis of RHUC [1] (Figure 3s). Thus, even before genetic tests of URAT1 or GLUT9, FE UA and SUA data are very helpful for the practical diagnosis of RHUC.
Biomedicines 2021, 9, x FOR PEER REVIEW 10 of 13 Figure 3. Flowchart to predict the number of nonfunctional variants of causative genes for RHUC based on FEUA and SUA data. Based on the findings of the present study, together with previous reports, we hereby propose a method of making a more practical diagnosis of RHUC even before genetic testing for URAT1/SLC22A12 or GLUT9/SLC2A9, when physicians detect and examine hypouricemic individuals (SUA ≤ 3.0 mg/dL; (a)). In those with hypouricemia (SUA ≤ 2.0 mg/dL), especially with severe hypouricemia (SUA ≤ 1.0 mg/dL) (b), their FEUA and urinary UA data should be investigated (c-e). These data will help to estimate RHUC type 1 or 2 due to two nonfunctional variants of URAT1 or GLUT9, or xanthinuria (f-j). Genetic analysis is needed to distinguish RHUC type 1 and type 2, but this flowchart shows that physicians should be able to predict the causative gene from patients' laboratory data before performing a genetic analysis. On the other hand, in those with mild hypouricemia (2.0 < SUA ≤ 3.0 mg/dL; (k)), their FEUA data are estimated to be normal or slightly high (l), which makes it possible to predict there to be one or no nonfunctional variants of URAT1 or GLUT9 (m). With these mild hypouricemia patients, detection of one nonfunctional variant of URAT1 (n) or GLUT9 (o) by genetic analysis is needed to make a diagnosis of RHUC type 1 (q) or type 2 (r). Physicians should consider differential diagnosis of RHUC (s) if no nonfunctional variants of URAT1 or GLUT9 are detected (p). Additionally, see Figure 4 regarding the patterns of FEUA and SUA data of RHUC type 1 and type 2. SUA, serum uric acid; FEUA, fractional excretion of uric acid; UA, uric acid; RHUC, renal hypouricemia.
Furthermore, Figure 4 illustrates the three specific distribution patterns of FEUA and SUA data for RHUC, based on the number of nonfunctional variants of URAT1 or GLUT9. The yellow area in Figure 4 (high FEUA in severe hypouricemia, also see Figure 3c) shows the pattern for "RHUC type 1 due to two nonfunctional variants of URAT1". The blue area in Figure 4 (extremely high FEUA in severe hypouricemia, also see Figure 3d) shows the pattern for "RHUC type 2 due to two nonfunctional variants of GLUT9". The red area in Figure 4 (normal or slightly high FEUA in mild hypouricemia, also see Figure 3l) shows RHUC type 1 or RHUC type 2 due to one nonfunctional variant of URAT1 or GLUT9. Interestingly, as shown in Figure 4, "RHUC due to two nonfunctional variants of URAT1 or GLUT9" and "RHUC due to one nonfunctional variant of URAT1 or GLUT9" were found to exhibit specific distribution patterns of FEUA and SUA data. This suggests that it should be possible, even before genetic tests for URAT1 or GLUT9, to predict the presence and number of nonfunctional variants of URAT1 or GLUT9 from the specific patterns shown in Figure 4. These three specific patterns of FEUA and SUA data can also be useful for the selection of the appropriate genetic tests for URAT1 or GLUT9, for the efficient and rapid diagnosis of RHUC. Flowchart to predict the number of nonfunctional variants of causative genes for RHUC based on FE UA and SUA data. Based on the findings of the present study, together with previous reports, we hereby propose a method of making a more practical diagnosis of RHUC even before genetic testing for URAT1/SLC22A12 or GLUT9/SLC2A9, when physicians detect and examine hypouricemic individuals (SUA ≤ 3.0 mg/dL; (a)). In those with hypouricemia (SUA ≤ 2.0 mg/dL), especially with severe hypouricemia (SUA ≤ 1.0 mg/dL) (b), their FE UA and urinary UA data should be investigated (c-e). These data will help to estimate RHUC type 1 or 2 due to two nonfunctional variants of URAT1 or GLUT9, or xanthinuria (f-j). Genetic analysis is needed to distinguish RHUC type 1 and type 2, but this flowchart shows that physicians should be able to predict the causative gene from patients' laboratory data before performing a genetic analysis. On the other hand, in those with mild hypouricemia (2.0 < SUA ≤ 3.0 mg/dL; (k)), their FE UA data are estimated to be normal or slightly high (l), which makes it possible to predict there to be one or no nonfunctional variants of URAT1 or GLUT9 (m). With these mild hypouricemia patients, detection of one nonfunctional variant of URAT1 (n) or GLUT9 (o) by genetic analysis is needed to make a diagnosis of RHUC type 1 (q) or type 2 (r). Physicians should consider differential diagnosis of RHUC (s) if no nonfunctional variants of URAT1 or GLUT9 are detected (p). Additionally, see Figure 4 regarding the patterns of FE UA and SUA data of RHUC type 1 and type 2. SUA, serum uric acid; FE UA , fractional excretion of uric acid; UA, uric acid; RHUC, renal hypouricemia. Hypouricemic individuals (SUA ≤ 3.0 mg/dL) were divided into the following three groups: "severe hypouricemia" (SUA of ≤ 1.0 mg/dL), "moderate hypouricemia" (SUA of 1.1-2.0 mg/dL) and "mild hypouricemia" (SUA of 2.1-3.0 mg/dL). Typical laboratory data (FEUA and SUA) for RHUC type 1 or 2 patients are shown in the following three patterns: The yellow and blue areas show "RHUC type 1 due to two nonfunctional variants of URAT1" (see also Figure 3h) and "RHUC type 2 due to two nonfunctional variants of GLUT9" (see also Figure 3i), respectively. The red area shows "RHUC type 1 due to one nonfunctional variant of URAT1 (see also Figure 3q)" or "RHUC type 2 due to one nonfunctional variant of GLUT9 (see also Figure 3r)". Data from RHUC patients with other diseases, including renal dysfunction, might land in different areas from these three patterns. RHUC, renal hypouricemia; SUA, serum uric acid; FEUA, fractional excretion of uric acid. Figure 3; Figure 4, there is an obvious difference between FEUA levels of "RHUC type 1 due to two nonfunctional variants URAT1" and those of "RHUC type 2 due to two nonfunctional variants of GLUT9". We consider one of the reasons for this difference to be as follows. While GLUT9 could be only one renal urate reabsorption transporter at the basolateral membrane in the human kidney, URAT1 is likely to play a role in urate handling alongside organic anion transporter 10 (OAT10/SLC22A13), the third and recently reported renal urate reabsorption transporter [24], at the apical membrane.

As shown in
We believe that our findings will assist with a more practical diagnosis of RHUC based on the specific distribution patterns of FEUA and SUA data. A more accurate diagnosis of RHUC will not only enable clinicians to prevent complications of RHUC such as EIAKI and urolithiasis, but will also lead us to a better understanding of the mechanism of urate handling and hypouricemia.

Conclusions
In summary, we have demonstrated four important findings. First, we investigated the prevalence of hypouricemia (SUA ≤ 2.0 mg/dL) and mild hypouricemia individuals (2.0 < SUA ≤ 3.0 mg/dL) among 30,685 Japanese participants, and discovered the prevalence of hypouricemic individuals (SUA ≤ 3.0 mg/dL) to be 0.97% in males and 6.94% in females. Second, we revealed a very high frequency of NFV-URAT1 (W258X and R90H) in 1040 hypouricemia and mild hypouricemia individuals (SUA ≤ 3.0 mg/dL). Third, the presence and number of NFV-URAT1 alleles assists with estimating the FEUA data of hypouricemic individuals (SUA ≤ 3.0 mg/dL). This suggests that the FEUA data of This figure shows the relationship between RHUC and the number of nonfunctional variants of URAT1 or GLUT9 based on the patterns of FE UA and SUA data. The horizontal and vertical axes respectively show FE UA and SUA. Hypouricemic individuals (SUA ≤ 3.0 mg/dL) were divided into the following three groups: "severe hypouricemia" (SUA of ≤1.0 mg/dL), "moderate hypouricemia" (SUA of 1.1-2.0 mg/dL) and "mild hypouricemia" (SUA of 2.1-3.0 mg/dL). Typical laboratory data (FE UA and SUA) for RHUC type 1 or 2 patients are shown in the following three patterns: The yellow and blue areas show "RHUC type 1 due to two nonfunctional variants of URAT1" (see also Figure 3h) and "RHUC type 2 due to two nonfunctional variants of GLUT9" (see also Figure 3i), respectively. The red area shows "RHUC type 1 due to one nonfunctional variant of URAT1 (see also Figure 3q)" or "RHUC type 2 due to one nonfunctional variant of GLUT9 (see also Figure 3r)". Data from RHUC patients with other diseases, including renal dysfunction, might land in different areas from these three patterns. RHUC, renal hypouricemia; SUA, serum uric acid; FE UA , fractional excretion of uric acid. Furthermore, Figure 4 illustrates the three specific distribution patterns of FE UA and SUA data for RHUC, based on the number of nonfunctional variants of URAT1 or GLUT9. The yellow area in Figure 4 (high FE UA in severe hypouricemia, also see Figure 3c) shows the pattern for "RHUC type 1 due to two nonfunctional variants of URAT1". The blue area in Figure 4 (extremely high FE UA in severe hypouricemia, also see Figure 3d) shows the pattern for "RHUC type 2 due to two nonfunctional variants of GLUT9". The red area in Figure 4 (normal or slightly high FE UA in mild hypouricemia, also see Figure 3l) shows RHUC type 1 or RHUC type 2 due to one nonfunctional variant of URAT1 or GLUT9. Interestingly, as shown in Figure 4, "RHUC due to two nonfunctional variants of URAT1 or GLUT9" and "RHUC due to one nonfunctional variant of URAT1 or GLUT9" were found to exhibit specific distribution patterns of FE UA and SUA data. This suggests that it should be possible, even before genetic tests for URAT1 or GLUT9, to predict the presence and number of nonfunctional variants of URAT1 or GLUT9 from the specific patterns shown in Figure 4. These three specific patterns of FE UA and SUA data can also be useful for the selection of the appropriate genetic tests for URAT1 or GLUT9, for the efficient and rapid diagnosis of RHUC.
As shown in Figures 3 and 4, there is an obvious difference between FE UA levels of "RHUC type 1 due to two nonfunctional variants URAT1" and those of "RHUC type 2 due to two nonfunctional variants of GLUT9". We consider one of the reasons for this difference to be as follows. While GLUT9 could be only one renal urate reabsorption transporter at the basolateral membrane in the human kidney, URAT1 is likely to play a role in urate handling alongside organic anion transporter 10 (OAT10/SLC22A13), the third and recently reported renal urate reabsorption transporter [24], at the apical membrane.
We believe that our findings will assist with a more practical diagnosis of RHUC based on the specific distribution patterns of FE UA and SUA data. A more accurate diagnosis of RHUC will not only enable clinicians to prevent complications of RHUC such as EIAKI and urolithiasis, but will also lead us to a better understanding of the mechanism of urate handling and hypouricemia.

Conclusions
In summary, we have demonstrated four important findings. First, we investigated the prevalence of hypouricemia (SUA ≤ 2.0 mg/dL) and mild hypouricemia individuals (2.0 < SUA ≤ 3.0 mg/dL) among 30,685 Japanese participants, and discovered the prevalence of hypouricemic individuals (SUA ≤ 3.0 mg/dL) to be 0.97% in males and 6.94% in females. Second, we revealed a very high frequency of NFV-URAT1 (W258X and R90H) in 1040 hypouricemia and mild hypouricemia individuals (SUA ≤ 3.0 mg/dL). Third, the presence and number of NFV-URAT1 alleles assists with estimating the FE UA data of hypouricemic individuals (SUA ≤ 3.0 mg/dL). This suggests that the FE UA data of hypouricemic individuals should be very useful for predicting the presence and number of NFV-URAT1 alleles, and also assists with diagnosis of RHUC type 1. Fourth, we were able to propose how to make a more reliable diagnosis of RHUC based on the distribution patterns of FE UA and SUA data.
These findings have the potential to lead to a more practical diagnosis of RHUC based on specific patterns of laboratory data, and therefore a revision of the next edition of the clinical practice guideline for RHUC.

Institutional Review Board Statement:
The study was conducted according to the guidelines of the Declaration of Helsinki, and approved by the institutional ethical committees (National Defense Medical College and Nagoya University).

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

Data Availability Statement:
The data presented in this study are available upon request from the corresponding author.