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. 2021 Jun;10(6):1658–1667. doi: 10.21037/tp-21-58

Molecular epidemiologic study of citrin deficiency by screening for four reported pathogenic SLC25A13 variants in the Shaanxi and Guangdong provinces, China

Wei-Xia Lin 1,#,^, Muhammad Rauf Yaqub 1,#, Zhan-Hui Zhang 2, Man Mao 1, Han-Shi Zeng 1, Feng-Ping Chen 3, Wei-Ming Li 4, Wen-Zhe Cai 5, Ying-Qiang Li 6, Zhi-Yong Tan 7, Wei Sheng 8, Zhi-Min Li 9, Xiao-Ling Tao 10, Yuan-Xia Li 11, Jun-Ping Zhang 12, Yao-Bin Han 13, Yan Li 14, Wu-Qiong Duan 15, Bao-Ni Ye 16, Ya-Rong Li 17,, Yuan-Zong Song 1,
PMCID: PMC8261583  PMID: 34295780

Abstract

Background

Citrin deficiency (CD) is an autosomal recessive disease resulting from biallelic mutations of the SLC25A13 gene. This study aimed to investigate the molecular epidemiological features of CD in the Guangdong and Shaanxi provinces of China.

Methods

A total of 3,409 peripheral blood samples from Guangdong and 2,746 such samples from Shaanxi province were collected. Four prevalent SLC25A13 mutations NG_012247.2 (NM_014251.3): c.852_855del, c.1638_1660dup, c.615+5G>A, and c.1751-5_1751-4ins(2684) were screened by using the conventional polymerase chain reaction (PCR)/PCR-restriction fragment length polymorphism and newly-developed multiplex PCR methods, respectively. The mutated SLC25A13 allele frequencies, carrier frequencies, and CD morbidity rates were calculated and then compared with the Chi-square and Fisher’s exact tests.

Results

The mutations were detected in 68 out of 6,818 SLC25A13 alleles in Guangdong and 29 out of 5,492 alleles in the Shaanxi population. The carrier frequencies were subsequently calculated to be 1/51 and 1/95, while the CD morbidity rates were 1/10,053 and 1/35,865, in the 2 populations, respectively. When compared with the Shaanxi population, Guangdong exhibited a higher frequency of mutated SLC25A13 allele (68/6,818 vs. 29/5,492, χ2=8.570, P=0.003) in general, with higher c.852_855del (54/6,818 vs. 13/5,492, χ2=17.328, P=0.000) but lower c.1751-5_1751 -4ins(2684) (2/6,818 vs. 9/5,492, P=0.015) allele frequencies. The distribution of c.615+5G>A and c.1638_1660dup between the 2 provinces, as well as all 4 prevalent mutations among different geographic regions within the 2 provinces, did not differed significantly.

Conclusions

Our findings depicted the CD molecular epidemiological features in Guangdong and Shaanxi populations, providing preliminary but significant laboratory evidences for the subsequent CD diagnosis and management in the 2 provinces of mainland China.

Keywords: Citrin deficiency, epidemiology, Shaanxi, Guangdong

Introduction

Citrin deficiency (CD) is an autosomal recessive genetic metabolic disease arising from a functional defect of citrin, the aspartate/glutamate carrier isoform 2 in the mitochondrial inner membrane of the hepatocyte in humans (1,2). The causative gene SLC25A13 is localized at chromosome 7q21.3 and spans about 200 kb in length with 18 exons and 17 introns (3). Citrin functions to exchange aspartate synthesized by the mitochondrial matrix with glutamate and a proton in the cytoplasm of the hepatocyte, playing distinct roles in the urea cycle, malate-aspartate shuttle and gluconeogenesis (4-7).

From July 2005 to August 2020, our team diagnosed 458 CD patients by SLC25A13 gene analysis from 29 different provinces, municipalities, and autonomous regions of China, and the 4 mutations of NG_012247.2 (NM_014251.3): c.852_855del, c.1638_1660dup, c.615+5G>A, and c.1751-5_1751-4ins(2684) were at the top of the list, accounting for 82.9% of all mutated alleles [(8) partial data unpublished]. In 2014, we screened the above 4 prevalent mutations using HybProbe assay and High Resolution Melting Assay in 2,428 healthy subjects from 9 cities of Guangdong, a province in the southeast of mainland China (9); this revealed a carrier frequency of 1/47 and a theoretical morbidity of 1/8,800. However, 64.2% (1,558/2,428) of the research participants were from 5 cities of the Pearl River Delta area, which only accounted for about 36.5% (38/104 million) of permanent resident populations in Guangdong, while the imbalance of the sample sizes might have led to a bias in the results.

According to the findings of human genetic diversity, the Chinese population can be divided into 2 large groups from the north to the south along the boundary of the Yangtze River (10,11). The carrier frequency of SLC25A13 mutations in the north (1/940) was found to be significantly lower than that in the south (1/48) (12); however, the prevalent mutation c.1751-5_1751-4ins(2684) was uncovered in 2008 (13), and thus was not included in the previous study. Notably, most research participants in previous studies were from the middle and coastal areas of China, and an epidemiologic study of CD in the northwest China has not yet been conducted.

Shaanxi Province is located in northwest China and adjoins the other 8 provinces. In this study, the 4 prevalent SCL25A13 mutations were screened using 981 additional peripheral blood samples collected from 4 peripheral cities in Guangdong and 2,746 of these samples from different cities in Shaanxi. The carrier frequencies of the prevalent mutations and the morbidity rates of CD were then calculated and their distribution was compared.

We presented the following article in accordance with the STROBE reporting checklist (available at http://dx.doi.org/10.21037/tp-21-58).

Methods

Participants

According to the latest official data by the National Bureau of Statistics, China, the permanent resident populations of the provinces of Guangdong and Shaanxi at the time of this study were 104 and 37 million, respectively (http://www.stats.gov.cn/tjsj/tjgb/rkpcgb/). In order to achieve statistical significance, the sample sizes were calculated to be at least 1,953 and 695 on the basis of the estimated carrier rates of 1/48 in Guangdong and 1/940 in Shaanxi by using the online sample size calculator EPITOOLS (https://epitools.ausvet.com.au/twoproportions), with a confidence level of 95% and the power of 0.99. In the case of sample loss and a higher carrier rates of CD in Shaanxi, more participants were added to enlarge the sample size. A computer-based randomization was used to select samples from each of the regions. The number of samples from each region was in accordance with the population distribution.

Besides the 2,428 samples in our previous study (9), we collected an additional 981 blood samples for health examination from 4 peripheral cities (Heyuan, Shaoguan, Shantou, and Yunfu) in Guangdong and 2,746 of these samples from 10 cities (Yan’an, Yulin, Weinan, Xianyang, Baoji, Xi’an, Tongchuan, Hanzhong, Shangluo, and Ankang) in Shaanxi between June 2016 and December 2018 (Figure 1).

Figure 1.

Figure 1

Geographic distribution of the mutated SLC25A13 alleles in different cities of the Guangdong and Shaanxi provinces of China. Guangdong Province comprises of 4 regions: north (orange), west (green), east (pink), and the Pearl River Delta area (blue). Shaanxi Province comprises of 3 areas: north (light orange), center (light blue) and south (light green). The mutated SLC25A13 alleles from different cities are marked in parentheses. This figure was generated by means of the software WPS Office PowerPoint 2019. The base map was created by incrementally assembling the outlines of the Chinese administrative regions, which could be downloaded via the URL link http://www.900ppt.com/.

This study was conducted in accordance with the Declaration of Helsinki (as revised in 2013) and was approved by the Medical Ethics Committee of the First Affiliated Hospital, Jinan University, Guangdong, China (NO.: KY-2019-052, 2015-038, 2014-004). Participants were genotyped retrospectively using blood samples previously collected for the purpose of health examination. The data related to individual identification were anonymized during the entire study process. Therefore, informed consent was waived.

Genetic analysis

Genomic DNA was purified from the peripheral blood samples. The mutations c.1638_1660dup and c.615+5G>A were detected using established polymerase chain reaction (PCR) and PCR-restriction fragment length polymorphism methods, as in previous publications (12,14). The mutations c.852_855del and c.1751-5_1751-4ins(2684) were screened using newly-developed multiplex PCR approaches as described below.

Four primers, MuI-3NF (5'-TGGCAATTTGAATAACATCAGATGAC-3', forward), MuI-NR1-AP2 (5'-ACTATGGGGCCGTTCAATGTCTGCTAAGGTCATA-3', reverse), MuI-AF4-AP2 (5'-ACGCGTGTGTTGTTTTTCCCCTACAGACGAC-3', forward) and MuI-9AR (5'-CAGTGACACCAACACGGGATTCT-3', reverse), were designed for the multiplex PCR amplification of mutation c.852_855del (Figure 2A); the optimal concentrations of the 4 primers were set at a ratio of 1:1:0.5:0.5, respectively. The PCR cycling condition included an initial denaturation step of 94 °C for 5 min, 35 cycles of denaturation at 94 °C for 30 sec, annealing at 57 °C for 30 sec and extension at 72 °C for 1 min, as well as a final extension at 72 °C for 7 min.

Figure 2.

Figure 2

Novel approaches developed for the screening of the mutations c.852_855del and c.1751-5_1751-4ins(2684). (A) On c.852_855del screening, the wild-type SLC25A13 genotype exhibited 2 bands of 583 bp and 969 bp in size, the homozygote showed 2 bands of 445 bp and 965 bp, while the heterozygote showed all 4 bands. In this figure, the 2 bands of 965 bp and 969 bp in sizes represent the PCR products with and without the mutation c.852_855del, respectively. (B) PCR products of the wild-type and homozygote of c.1751-5_1751-4ins(2684) only exhibited a band of 335 bp and 564 bp, respectively, while that of the heterozygote presented with both bands. (C) Sanger sequencing of PCR products of c.852_855del. (D) Sanger sequencing of PCR products of c.1751-5_1751-4ins(2684).

For the multiplex PCR amplification of mutation c.1751-5_1751-4ins(2684), 1 forward primer MuXIX-2UF (5'-GCCAAACCACTTACAGCGGAGT-3') along with 2 reverse primers MuXIX-2UR (5'-TTATGACAGAGAGCAGCACTGGTTC-3') and MuXIX-1R (5'-TCCCTACGACAACAGAGCATTAGC-3') were designed (Figure 2B), and their optimal concentrations were set at a ratio of 5–6:4–5:1, respectively. The temperature condition was as follows: 94 °C for 5 min, followed by 35 cycles of 94 °C for 30 sec, 60 °C for 30 sec and 72 °C for 40 sec, as well as a final extension step of 72 °C for 7 min.

Calculation of the allele frequencies, carrier frequencies and CD morbidity rates

Geographically, Guangdong Province includes the Pearl River Delta (Guangzhou, Shenzhen, Foshan, Huizhou, and Zhongshan), along with northern (Qingyuan and Shaoguan), eastern (Meizhou, Heyuan, and Shantou), and western (Zhanjiang and Yunfu) regions (Figure 1); meanwhile, Shaanxi consists of northern (Yulin and Yan’an), central (Weinan, Xi’an, Xianyang, Baoji, and Tongchuan), and southern (Hanzhong, Ankang, and Shangluo) areas (Figure 1).

The mutated SLC25A13 allele frequencies, carrier frequencies and CD morbidity rates in different areas were calculated based on the Hardy-Weinberg equilibrium. The genotypes AA (healthy individual), AB (carrier) and BB (patient) of a biallelic genetic marker were expected to have the relative frequencies of p2, 2pq and q2, with p and q being the A (wild type) and B (mutant) allele frequency, respectively; thus, p+q=1. The values of 2pq and q2 represented as the carrier frequency of SLC25A13 variants and CD morbidity rate, respectively (15,16).

Statistical analysis

By using the statistical software SPSS version 23.0 (IBM Corp., Chicago, IL, USA), the distributions of the 4 SLC25A13 variants were compared via Chi-square and Fisher’s exact tests among different geographic regions, with a P value <0.05 indicating statistical significance.

Results

Mutation screening

To evaluate the reliability of the new PCR methods in this study, the 4 prevalent SLC25A13 mutations were detected in the 200 samples of Qingyuan city, and the results were completely consistent with those in the previous study by using HybProbe assay and HRMA approaches (9).

This study detected 13 individuals with the c.852_855del, 1 with the c.1638_1660dup, and 4 with the c.615+5G>A mutation in the 981 additional samples from Guangdong (Table 1). Therefore, together with the screening findings in our previous study of 2,428 samples (9), a total of 68 mutant SLC25A13 alleles were detected in 6,818 independent alleles (3,409 samples). Additionally, a total of 29 mutated SLC25A13 alleles in 28 individuals were detected among the 5,492 alleles from Shaanxi. Among them, there were 13, 9, 5, and 2 alleles bearing c.852_855del, c.1751-5_1751-4ins(2684), c.1638_1660dup, and c.615+5G>A, respectively (Table 2). Of note, 1 individual from Xi’an was identified as a homozygote of the c.852_855del mutation, who was apparently healthy but with a specific fondness for high-protein food.

Table 1. Distribution of the 4 prevalent SLC25A13 mutations in different areas of Guangdong Province.

Regions Cities New report Published report (9) Total Mutated alleles Carrier frequencies Morbidity rates
I III X XIX Sample sizes I III X XIX Sample sizes I III X XIX Sample sizes
Pearl River Delta Guangzhou 10 1 599 10 1 599 11 1/55 1/11,861
Shenzhen 3 1 306 3 1 306 4 1/77 1/23,409
Foshan 3 223 3 223 3 1/75 1/22,102
Huizhou 2 190 2 190 2 1/96 1/36,100
Zhongshan 3 1 240 3 1 240 4 1/61 1/14,400
Total 21 1 1 1 1,558 21 1 1 1 1,558 24 1/65 1/16,857
North Qingyuan 6 200 6 200 6 1/34 1/4,444
Shaoguan 5 230 5 230 5 1/47 1/8,464
Total 5 230 6 200 11 430 11 1/40 1/6,112
East Meizhou 1 1 213 1 1 213 2 1/107 1/45,369
Heyuan 1 200 9 1 197 10 1 397 11 1/37 1/5,210
Shantou 2 1 3 200 2 1 3 200 6 1/34 1/4,444
Total 3 1 3 400 10 1 1 410 13 1 4 1 810 19 1/43 1/7,270
West Zhanjiang 4 1 3 260 4 1 3 260 8 1/33 1/4,225
Yunfu 5 1 351 5 1 351 6 1/59 1/13,689
Total 5 1 351 4 1 3 260 9 1 4 611 14 1/44 1/7,619
In total 13 1 4 981 41 2 5 2 2,428 54 3 9 2 3,409 68 1/51 1/10,053

I: c.852_855del; III: c.1638_1660dup; X: c.615+5G>A; XIX: c.1751-5_1751-4ins(2684).

Table 2. Distribution of the 4 prevalent SLC25A13 mutations in different areas of Shaanxi Province.

Regions Cities I III X XIX Sample sizes Mutated alleles Carrier frequencies Morbidity rates
North Yulin 2 1 293 3 1/98 1/38,155
Yan’an 1 1 2 300 4 1/76 1/22,500
Total 3 2 2 593 7 1/85 1/28,706
Center Weinan 3 1 500 4 1/126 1/62,500
Xi’an 2 1 1 174 4 1/44 1/7,569
Xianyang 1 1 300 2 1/151 1/90,000
Tongchuan 1 100 1 1/101 1/40,000
Baoji 1 1 300 2 1/151 1/90,000
Total 7 2 1 3 1,374 13 1/106 1/44,683
South Shangluo 1 229 1 1/230 1/209,764
Hanzhong 1 1 1 2 350 5 1/71 1/19,600
Ankang 2 1 200 3 1/67 1/17,778
Total 3 1 1 4 779 9 1/87 1/29,967
In total 13 5 2 9 2,746 29 1/95 1/35,865

I: c.852_855del; III: c.1638_1660dup; X: c.615+5G>A; XIX: c.1751-5_1751-4ins(2684). : Homozygous for the c.852_855del mutation.

Carrier frequencies and theoretical morbidity rates

The mutated SLC25A13 allele frequencies in the Guangdong and Shaanxi were 0.997% (68/6,818) and 0.528% (29/5,492), the carrier frequencies were 1/51 and 1/95, and the theoretical morbidity rates were 1/10,053 and 1/35,865, respectively. According to the latest population data and the above theoretical morbidity rates in the Guangdong and Shaanxi provinces, it was estimated that at least 10,345 and 1,032 CD patients were distributed in the different cities of these 2 provinces, respectively (Table 2).

The mutated alleles, carrier frequencies, and morbidity rates among different administrative cities and geographic regions were shown in Tables 2 and 3.

Table 3. Comparison of the distribution of the 4 prevalent SLC25A13 mutations in the Guangdong and Shaanxi provinces.

Mutations Guangdong (n=6,818) Shaanxi (n=5,492) χ 2 P value
I 54 13 17.328 0.000
III 3 5 0.480
X 9 2 0.126
XIX 2 9 0.015
Total 68 29 8.570 0.003

In this table, I, III, X and XIX represent the mutations c.852_855del, c.1638_1660dup, c.615+5G>A, and c.1751-5_1751-4ins(2684), respectively.

Distribution comparisons of the prevalent SLC25A13 mutations among different geographic regions

The distribution comparison of the 4 prevalent mutations revealed that Guangdong had a higher mutated SLC25A13 allele frequency than did the Shaanxi population (68/6,818 vs. 29/5,492, χ2 =8.570, P=0.003). The mutated allele frequency of c.852_855del was higher in the Guangdong population as compared to that of Shaanxi (54/6,818 vs. 13/5,492, χ2 =17.328, P=0.000) while that of c.1751-5_1751-4ins(2684) was lower (2/6818 vs. 9/5492, P=0.015). The distribution of c.615+5G>A and c.1638_1660dup between the 2 provinces, as well as all 4 prevalent mutations among different geographic regions within the 2 provinces, did not differed significantly (P>0.05).

Discussion

Melting curve analysis, including the combination of HybProbe assay and High Resolution Melting Assay, has proven to be a convenient and rapid method for the screening of the 4 prevalent SLC25A13 mutations (9,17-19), but it is technically complex and expensive. Multiplex-PCR consists of multiple sets of primers in a single PCR mixture. By simultaneously amplifying more than 1 fragment in the same reaction, 1-step multiplex PCR was more efficient than simplex PCR (20,21). The c.852_855del and c.1751-5_1751-4ins(2684) mutations are a 4-base deletion in exon 9 and an about 3-kb insertion in intron 16 of the SLC25A13 gene, respectively, and have been screened by the newly developed multiplex PCR methods. As shown in Figure 2, with 2–3 sets of primers in the same PCR reaction, clear and distinguishable amplified DNA fragments covering the wild-type and mutated SLC25A13 alleles were obtained. The combination of conventional PCR/PCR-restriction fragment length polymorphism and newly developed multiplex PCR methods for the detection of 4 prevalent mutations proved to be feasible in a large-scale population analysis in the present study.

In this study, the 4 prevalent SLC25A13 mutations were screened in the 981 new samples from 4 peripheral cities in Guangdong provinces. The sample size was expanded from 2,428 to 3,409, and the proportions in the 4 geographic regions of Guangdong were thereby made more representative. The 68 carriers identified thus far demonstrated a carrier rate of 1/51 and a theoretical CD morbidity of 1/10,053 in this population, which decreased slightly but might have been more precise than that found in our previous study (9). Data from our previous study showed the mutation carrier rate in the peripheral cities (1/34) to be significantly higher than that in the Pearl River Delta area (1/60). However, when more peripheral cities were enrolled in this study, no significant difference of the carrier rate was found between the 2 areas. The reasonable enlargement of the study population minimized the bias of the molecular epidemiology study and increased the screening reliability, providing more accurate laboratory evidences for the evaluation of CD effect on the Guangdong population.

For the first time, this study identified 29 mutated SLC25A13 alleles in the 2746 healthy residents in Shaanxi, a province in the northwest China, with a carrier frequency 1/95 and a CD theoretical morbidity rate of about 1/35,865. Surprisingly, the mutated SLC25A13 allele frequency in the Shaanxi population was higher (29/5,492 vs. 1/1,880, χ2=7.792, P=0.005) than that previously found in north China (Liaoning, Beijing, Hebei, Shandong, and Henan) (12), suggesting that the CD prevalence might be underestimated at least in northwest China. Among 4 prevalent mutations, c.852_855del (44.82%) and c.1751-5_1751-4ins(2684) (31%) accounted for almost 75%, suggesting that when performing CD genetic testing, analysis of these 2 mutations should be mandatory in this province. Statistical analysis within the present study discovered homogenous distribution of the prevalent SLC25A13 mutations among different geographic regions in Shaanxi, and hence different molecular targeting might be unnecessary for CD diagnosis in Shaanxi Province.

The distribution comparison revealed that the Guangdong population had a significantly higher mutated SLC25A13 allele frequency than that of Shaanxi, supporting the notion that different geographic distribution of SLC25A13 gene mutations exist in China. It is worth noting that the mutated allele frequency of c.852_855del was significantly higher while that of c.1751-5_1751-4ins(2684) was lower in Guangdong compared to Shaanxi. It has been reported that modern humans colonized East Asia via southern and northern routes on both sides of the Himalayas (22,23). In this study, the 2 prevalent mutations with a different geographic distribution might be attributed to the genetic flow which occurred between distinct founding populations, and their relatively higher frequency could be explained as a result of the founder effect. Actually, the c.852_855del and c.1751-5_1751-4ins(2684) mutations are relatively frequent in East Asia (13,18,19,24-26), with the former being reported as having originated around the Guangxi and Yunnan areas in south China (12) and the latter exhibiting high allele frequency (33–45.5%) in Korean (13,26), which is located in the northeast of the Asian continent.

Some limitations in this study should be addressed. Firstly, only focusing on the 4 prevalent mutations might have overlooked other pathogenic SLC25A13 variants in general human populations. Secondly, there might be sampling bias in the 2 provinces. The proportions of research participants in different regions were similar but not identical with the population distribution. Therefore, further epidemiology study focusing on more SLC25A13 variants and with larger sample sizes from the 2 provinces is in need.

Conclusions

This study highlighted the feasibility of the combination of the conventional PCR/PCR-restriction fragment length polymorphism and the newly developed multiplex PCR methods for the detection of 4 prevalent SLC25A13 mutations in a large-scale population. The findings clarify the molecular epidemiological features of CD in Guangdong and Shaanxi populations, providing preliminary but nonetheless significant laboratory evidence for subsequent CD diagnosis and management in these 2 provinces in mainland China.

Supplementary

The article’s supplementary files as

tp-10-06-1658-rc.pdf (392KB, pdf)
DOI: 10.21037/tp-21-58
tp-10-06-1658-prf.pdf (52KB, pdf)
DOI: 10.21037/tp-21-58
tp-10-06-1658-dss.pdf (64.5KB, pdf)
DOI: 10.21037/tp-21-58
tp-10-06-1658-coif.pdf (624.6KB, pdf)
DOI: 10.21037/tp-21-58

Acknowledgments

The wordings of the main text, figures and tables have been checked by the AME Editing Service (http://editing.amegroups.cn/#editing).

Funding: This work was supported by the National Natural Science Foundation of China [grant numbers 81570793, 81741080, 81670813, and 81974057] and Natural Science Foundation of Guangdong Province [grant number 2016A030313099].

Ethical Statement: The authors are accountable for all aspects of the work in ensuring that questions related to the accuracy or integrity of any part of the work are appropriately investigated and resolved. The study was conducted in accordance with the Declaration of Helsinki (as revised in 2013) and was approved by the Medical Ethics Committee of the First Affiliated Hospital, Jinan University, Guangdong, China (NO.:KY-2019-052, 2015-038, 2014-004). Participants were genotyped retrospectively using blood samples previously collected for the purpose of health examination. The data related to individual identification were anonymized during the entire study process. Therefore, informed consent was waived.

Footnotes

Reporting Checklist: The authors have completed the STROBE reporting checklist. Available at http://dx.doi.org/10.21037/tp-21-58

Peer Review File: Available at http://dx.doi.org/10.21037/tp-21-58

Data Sharing Statement: Available at http://dx.doi.org/10.21037/tp-21-58

Conflicts of Interest: All authors have completed the ICMJE uniform disclosure form (available at http://dx.doi.org/10.21037/tp-21-58). The authors have no conflicts of interest to declare.

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Supplementary Materials

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tp-10-06-1658-rc.pdf (392KB, pdf)
DOI: 10.21037/tp-21-58
tp-10-06-1658-prf.pdf (52KB, pdf)
DOI: 10.21037/tp-21-58
tp-10-06-1658-dss.pdf (64.5KB, pdf)
DOI: 10.21037/tp-21-58
tp-10-06-1658-coif.pdf (624.6KB, pdf)
DOI: 10.21037/tp-21-58

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