Literature DB >> 29270492

Natural History and Genotype-Phenotype Correlation in Female X-Linked Alport Syndrome.

Tomohiko Yamamura1, Kandai Nozu1, Xue Jun Fu1, Yoshimi Nozu1, Ming Juan Ye1, Akemi Shono1, Satoko Yamanouchi1, Shogo Minamikawa1, Naoya Morisada1, Koichi Nakanishi2, Yuko Shima2, Norishige Yoshikawa2, Takeshi Ninchoji1, Ichiro Morioka1, Hiroshi Kaito1, Kazumoto Iijima1.   

Abstract

INTRODUCTION: X-linked Alport syndrome (XLAS) is a hereditary disease characterized by progressive nephritis, hearing loss, and ocular abnormalities. Affected male patients usually progress to end-stage renal disease in early or middle adulthood, and disease severity is strongly correlated with genotype. However, the clinical course in female patients has rarely been reported.
METHODS: We conducted a retrospective analysis of females with genetically proven XLAS (n = 275) and their affected female family members (n = 61) from 179 Japanese families. Patients suspected to have Alport syndrome from pathologic findings or a family history who were referred from anywhere in Japan for genetic diagnosis between 2006-2015 were included in this study. Clinical and laboratory data were collected from medical records at the time of registration for genetic analysis.
RESULTS: Proteinuria was detected in 175 genetically proven patients (72.6%), and the median age for developing proteinuria was 7.0 years. Fifty-two of 336 patients developed end-stage renal disease with a median renal survival age of 65.0 years. No obvious genotype-phenotype correlation was observed. Additionally, targeted sequencing for podocyte-related genes in patients with severe phenotypes revealed no obvious variants considered to be modifier genes except for 1 patient with a COL4A3 gene variant. DISCUSSION: This study revealed that phenotypes in female XLAS patients may be severe, but genotype does not help to predict the disease severity. Clinicians must therefore pay careful attention to the clinical course and appropriate treatment in females with XLAS.

Entities:  

Keywords:  COL4A5; genotype–phenotype correlation; modifier gene

Year:  2017        PMID: 29270492      PMCID: PMC5733817          DOI: 10.1016/j.ekir.2017.04.011

Source DB:  PubMed          Journal:  Kidney Int Rep        ISSN: 2468-0249


X-linked Alport syndrome (XLAS) is a hereditary disease caused by mutations of the COL4A5 gene encoding the type IV collagen α5 chain. It is characterized by progressive nephritis, hearing loss, and ocular abnormalities. Affected male patients generally develop end-stage renal disease (ESRD) in early or middle adulthood, and a strong genotype-phenotype correlation has been reported.1, 2, 3 In contrast, female patients have rarely been studied, and only 1 large-scale study has previously been published. This previous study reported that female patients showed various degrees of disease severity, ranging from asymptomatic genetic carriers to early-onset ESRD, with no genotype–phenotype correlation. We conducted the largest retrospective analysis of the natural history of female XLAS and also conducted next-generation sequencing to pick up modifier genes in women with severe XLAS.

Materials and Methods

All procedures were reviewed and approved by the Institutional Review Board of Kobe University School of Medicine, and informed consent for this study was obtained from all the patients or their parents.

Patients

Patients enrolled in this study were referred to our hospital for clinical evaluation or genetic analysis from 2006 to 2015. Most of them were followed in various local hospitals in Japan. They were suspected of having Alport syndrome from their pathological findings or family histories. All clinical and laboratory findings were obtained from the patients’ medical records at the point when genetic analysis was performed. Annual urinary screening is available for all students and most adults in Japan. When hematuria or proteinuria is detected during screening, patients are referred to their family doctor for further urinalysis that is performed at least 3 times. If their abnormal findings persist, they are referred to specialists for further evaluation. Therefore, most cases are diagnosed with Alport syndrome during the very early stages of disease. In this study, proteinuria was defined by a protein-creatinine ratio >0.2 g/gCre in the early morning first urine that persisted for >3 months. All patients were required to be evaluated for ocular lesions by an ophthalmologist before the application for genetic analysis. Audiometry screening is also available for all students 6, 7, 8, 10, 13, and 15 years of age in Japan and hearing loss can be detected by this screening system. A total of 314 families were genetically diagnosed with Alport syndrome from January 1, 2006 to December 31, 2015. Sixty-four families were excluded because they were genetically diagnosed with autosomal dominant or autosomal recessive Alport syndrome with COL4A3/COL4A4 mutations. Among the remaining 250 families with an identified COL4A5 mutation, 275 female patients and 61 affected female family members from 179 families were selected for this study. All the patients and family members in this study are Japanese.

Mutational Analysis

Mutational analysis of COL4A5 was performed by several methods: (i) targeted next-generation sequencing using a custom disease panel; (ii) conventional direct sequencing using the Sanger method for all exons and exon–intron boundaries; (iii) multiplex ligation-dependent probe amplification to detect copy-number variations; and (iv) reverse transcription–polymerase chain reaction of mRNA and direct sequencing to detect abnormal splicing. We initially performed methods (i) or (ii), and if no mutations were detected, we then performed methods (iii) and (iv). Additionally, 24 female patients with clinically severe phenotypes underwent targeted sequencing for 45 podocyte-related genes that are known to be causative of inherited focal segmental glomerulosclerosis or Alport syndrome (Supplementary Table S1). Clinically severe cases were defined by (i) developing ESRD before the age of 60 years (n = 14) or (ii) starting to show heavy proteinuria (urine protein-creatinine ratio >1.0 g/gCre) in early morning first urine analysis with the detection of proteinuria before the age of 3 years.

Statistical Analysis

All calculations were performed using standard statistical software (JMP version 10 Package for Windows; SAS Institute, Cary, NC). The occurrence of events (age of developing proteinuria, renal survival period) was analyzed according to the Kaplan-Meier method.

Results

Clinical Features

The clinical features of the cohort are shown in Table 1. COL4A5 mutations in all 179 families are shown in Supplementary Table S2. Their median age at genetic testing was 24 years (range, 0–92 years). Proteinuria was detected in 175 patients (72.6%) and the median age for developing proteinuria was 7.0 years (Figure 1). Thirty-three patients developed ESRD, with a median renal survival period of 65.0 years, and 15% of patients reaching ESRD by the age of 40 (Figure 2, Supplementary Table S3). Specific ocular changes were only detected in 4 patients (1.5%) and hearing loss was detected in 15 (5.5%). Regarding treatment, only patients of a relatively young age who started to show proteinuria had started treatment with angiotensin-covering enzyme inhibitor or angiotensin receptor blocker, and none of the older patients including those who reached ESRD were treated with these drugs.
Table 1

Clinical features of 275 female XLAS patients

Clinical featuresAge
Median age at diagnosis (yr [range])24 (0–92)
Hematuria232 (97.9)
Proteinuria175 (72.6)
ESRDa33 (12)
Hearing loss15 (5.5)
Specific ocular changes4 (1.5)

ESRD, end-stage renal disease; XLAS, X-linked Alport syndrome.

Values are n (%) unless otherwise indicated.

Definition of ESRD: age at starting any renal replacement therapy.

Figure 1

Probability of developing proteinuria. The median age for developing proteinuria was 7.0 years (n = 172).

Figure 2

Probabilities of developing end-stage renal disease (ESRD). Solid line indicates genetically proven cases (n = 250). The median age for developing ESRD was 65 years. Dots indicate all female cases of X-linked Alport syndrome, including genetically unconfirmed affected family members (n = 312). The median age for developing ESRD was 65 years.

Probability of developing proteinuria. The median age for developing proteinuria was 7.0 years (n = 172). Probabilities of developing end-stage renal disease (ESRD). Solid line indicates genetically proven cases (n = 250). The median age for developing ESRD was 65 years. Dots indicate all female cases of X-linked Alport syndrome, including genetically unconfirmed affected family members (n = 312). The median age for developing ESRD was 65 years. Clinical features of 275 female XLAS patients ESRD, end-stage renal disease; XLAS, X-linked Alport syndrome. Values are n (%) unless otherwise indicated. Definition of ESRD: age at starting any renal replacement therapy. We also constructed a renal-survival curve including genetically unconfirmed affected family members who had abnormal urinalysis results or ESRD or both, excluding 25 cases whose age was unknown (n = 312). Fifty-two patients reached ESRD, with a median age of developing ESRD of 65.0 years (Figure 2). No one with hematuria alone without proteinuria developed ESRD.

Genotype–Phenotype Correlation

The detected mutation types are shown in Table 2. We compared renal-survival curves for 250 patients with known renal status according to the type of mutation (Figure 3). There was no difference between these groups in terms of the age of reaching ESRD in each mutation type. We also compared renal-survival curves for patients with or without missense mutations (Figure 4) and found no significant difference.
Table 2

Type of mutations in all 275 female XLAS patients

Type of mutationNumber of casesNumber of families
Missense mutation13788
Splicing mutation4931
Small deletion3121
Nonsense mutation2517
Large rearrangement2114
Insertion + duplication128

XLAS, X-linked Alport syndrome.

Figure 3

Probability of developing end-stage renal disease (ESRD) according to mutation types. Solid line indicates patients with nonsense mutations (n = 23). The median age for developing ESRD was 66 years. Dots indicate patients with missense mutations (n = 129). The median age for developing ESRD was 65 years. Dashes indicate splice site mutations (n = 43). The median age for developing ESRD was 65 years. Dash-dots indicate small mutation (small deletion, insertion, duplication) (n = 36). The median age for developing ESRD could not be calculated because the probability of having ESRD does not reach 50%. A curve for patients with large rearrangements is not shown because none of them had developed ESRD because of their relatively young age.

Figure 4

Probability of developing end-stage renal disease (ESRD) according to mutation with or without missense mutation. Solid line indicates patients with missense mutations (n = 129). The median age for developing ESRD was 65 years. Dots indicate patients with other mutations (n = 121). The median age for developing ESRD was 66 years.

Probability of developing end-stage renal disease (ESRD) according to mutation types. Solid line indicates patients with nonsense mutations (n = 23). The median age for developing ESRD was 66 years. Dots indicate patients with missense mutations (n = 129). The median age for developing ESRD was 65 years. Dashes indicate splice site mutations (n = 43). The median age for developing ESRD was 65 years. Dash-dots indicate small mutation (small deletion, insertion, duplication) (n = 36). The median age for developing ESRD could not be calculated because the probability of having ESRD does not reach 50%. A curve for patients with large rearrangements is not shown because none of them had developed ESRD because of their relatively young age. Probability of developing end-stage renal disease (ESRD) according to mutation with or without missense mutation. Solid line indicates patients with missense mutations (n = 129). The median age for developing ESRD was 65 years. Dots indicate patients with other mutations (n = 121). The median age for developing ESRD was 66 years. Type of mutations in all 275 female XLAS patients XLAS, X-linked Alport syndrome.

Hearing Loss and Kidney Prognosis

We also compared renal prognoses according to the presence or absence of hearing loss, but found no significant difference between patients with and without hearing loss (Figure 5).
Figure 5

Probability of developing end-stage renal disease (ESRD) according to presence or absence of hearing loss. Solid line indicates patients without hearing loss (n = 236). The median age for developing ESRD was 65 years. Dots indicate patients with hearing loss (n = 14). The median age for developing ESRD could not be calculated because the probability of having ESRD does not reach 50%.

Probability of developing end-stage renal disease (ESRD) according to presence or absence of hearing loss. Solid line indicates patients without hearing loss (n = 236). The median age for developing ESRD was 65 years. Dots indicate patients with hearing loss (n = 14). The median age for developing ESRD could not be calculated because the probability of having ESRD does not reach 50%.

Next-Generation Sequencing Analysis

We conducted targeted sequencing analyses of 24 clinically severe cases who reached ESRD before the age of 60 (n = 14) or who showed heavy proteinuria from a young age (n = 10) to identify genetic factors enhancing disease severity in female cases. Identical pathogenic variants in COL4A5 were detected by both Sanger sequencing and targeted sequencing in all patients. In addition, only 1 patient was revealed to have the heterozygous nonsense mutation in COL4A3 (c.1216C>T, p.Arg406Term), which was already reported as a causative mutation of autosomal Alport syndrome. She is a 10-year-old girl with a large deletion of COL4A5 exon 1 who showed heavy proteinuria (urine protein-creatinine ratio, 1.35 g/gCre) under treatment of angiotensin-covering enzyme inhibitor and angiotensin receptor blocker. In this case, the digenic variants in COL4A3 and COL4A5 might have affected the severity of Alport syndrome. None of the other 23 cases possessed modifier gene variants in 45 podocyte-related genes.

Discussion

In this study, we reported the genetic and clinical characteristics of female XLAS in patients with proven COL4A5 variants. Only 1 large-scale observational study of female cases of XLAS has previously been reported. The current study involved a similar sample size, with the added advantage of ethnic homogeneity, given that all the patients in the current study were Japanese. We detected a very high prevalence of hematuria (97.9%), consistent with the results of the previous report (95.5%). Although other studies found that all female carriers of XLAS had hematuria,6, 7 it is necessary to bear in mind that some heterozygous carriers of XLAS do not show obvious hematuria. The prevalence of proteinuria (72.6%) in the current study was also similar to that in the previous study (75.2%). Furthermore, the median age for developing proteinuria in female XLAS patients in our study was 7.0 years. Japan offers an annual school urinary screening system for all students, and these data are therefore relatively accurate. This study provides the first clarification of this information. Regarding extrarenal symptoms, hearing loss and specific ocular abnormalities only developed in a few patients (5.5% and 1.5%, respectively). These prevalences were much lower than in the previous report (28% and 15%). The low detection rate for ocular abnormalities may have been associated with insufficient ophthalmologic detection skills, while the low rate of hearing loss detection might reflect ethnic differences or the relatively young median age of our cohort, given that audiometry screening is also available for all students 6, 7, 8, 10, 13, and 15 years of age in Japan. The renal prognosis of female XLAS has generally been considered to be favorable, and treatment for female XLAS is therefore minimal. Jais et al. reported that 51 of 349 female XLAS patients developed ESRD, and 55% of them reached ESRD before the age of 40, the youngest at the age of 19. They revealed that the risk of developing ESRD before the age of 40 was 12%, while the median age for developing ESRD was not detected (>80 years). Flinter et al. reported that among 113 female XLAS patients, 15% developed chronic renal failure at an average age of 40. In our cohort, 52 of 336 female XLAS patients developed ESRD, with the youngest developing it at the age of 15 years. We also constructed a renal-survival curve using the Kaplan-Meier method and showed a median renal survival period of 65.0 years. About 15% of patients reached ESRD before the age of 40. This suggests that the prognosis of female XLAS patients is not benign, and that suitable management, including early medication, should be considered. Recent expert guidelines suggested that women with XLAS should be monitored carefully and treated with renin-angiotensin blockade if they develop hypertension, microalbuminuria, or renal impairment. We investigated the genotype–phenotype correlation in female XLAS patients. Although a strong correlation has been reported in male XLAS cases,1, 2, 3, 9 this association has rarely been examined in female cases. We compared renal prognosis of female patients according to their mutation types, but we found no significant difference in terms of the age of reaching ESRD. These results support previous data, and we therefore concluded that disease severity was unrelated to genotype in female XLAS patients. Although renal prognosis of female XLAS patients can be influenced by continuous angiotensin-covering enzyme inhibitor or angiotensin receptor blocker treatment, or both, as previously reported, its influence in our study result was limited because we accepted patients for genetic testing just after they were suspected to have Alport syndrome and before the initiation of treatment; moreover, our clinical data were obtained at the time of application for genetic testing. Therefore, only a few patients had started treatment with these nephroprotective drugs. There are limitations to our study. First, we were unable to assess the impact of early onset proteinuria on ESRD development because the school urine screening system started about 40 years ago in Japan, so the onset age of proteinuria in the ESRD group was not clear. However, it is possible to state that no case with hematuria alone, without proteinuria, developed ESRD as is shown in the previous report. Second, clinical information that might deteriorate renal function such as poorly controlled hypertension, nonsteroidal anti-inflammatory drug use, preeclampsia, or incidental glomerular disease was not collected, so we could not analyze the impact of these factors. Strasser et al. reported that digenic mutations in COL4A5 and MYH9 affected the severity of XLAS symptoms. Mencarelli et al. showed that digenic variants in any 2 genes of COL4A3, COL4A4, or COL4A5 caused more severe phenotypes compared with monogenic variants of 1 of these genes. We therefore conducted targeted sequencing to search for modifier genes among podocyte-related genes, reported as causative genes of familial focal segmental glomerular sclerosis or congenital nephrotic syndrome. However, we failed to identify any variants likely to act as modifier genes except for 1 case with a heterozygous nonsense mutation in COL4A3, suggesting that modifier genes might rarely contribute to the severity of female XLAS. We have also failed to detect NPHS2 variants in our cohort; although these are very common in the European population, it is possible that they are quite rare in the Japanese population. In conclusion, the phenotype of female XLAS patients is not always mild, and clinicians should therefore pay close attention to its clinical course and treatment. There is no genotype–phenotype correlation in female XLAS, and no obvious modifier genes were detected in most of the clinically severe patients. It therefore seems likely that the mechanisms determining the severity of female XLAS are multifactorial.

Disclosure

KN received lecture fees from Novartis Pharma K.K., Chugai Pharmaceutical Co., Ltd., Asahi Kasei Pharma Corp, and Taisho Pharm. Co. KI received grants from Daiichi Sankyo Co., Ltd, Japan. All other authors declared no competing interests.
  13 in total

1.  Genotype-phenotype correlation in X-linked Alport syndrome.

Authors:  Mir Reza Bekheirnia; Berenice Reed; Martin C Gregory; Kim McFann; Alireza Abdollah Shamshirsaz; Amirali Masoumi; Robert W Schrier
Journal:  J Am Soc Nephrol       Date:  2010-04-08       Impact factor: 10.121

2.  NPHS2 mutations in sporadic steroid-resistant nephrotic syndrome in Japanese children.

Authors:  Kyoko Maruyama; Kazumoto Iijima; Masahiro Ikeda; Akiko Kitamura; Hiroyasu Tsukaguchi; Kunihiko Yoshiya; Sakurako Hoshii; Naohiro Wada; Osamu Uemura; Kenichi Satomura; Masataka Honda; Norishige Yoshikawa
Journal:  Pediatr Nephrol       Date:  2003-04-05       Impact factor: 3.714

Review 3.  Genetics of classic Alport's syndrome.

Authors:  F A Flinter; J S Cameron; C Chantler; I Houston; M Bobrow
Journal:  Lancet       Date:  1988-10-29       Impact factor: 79.321

4.  A comparison of the clinical, histopathologic, and ultrastructural phenotypes in carriers of X-linked and autosomal recessive Alport's syndrome.

Authors:  H Dagher; M Buzza; D Colville; C Jones; H Powell; R Fassett; D Wilson; J Agar; J Savige
Journal:  Am J Kidney Dis       Date:  2001-12       Impact factor: 8.860

5.  COL4A5-associated X-linked Alport syndrome in a female patient with early inner ear deafness due to a mutation in MYH9.

Authors:  Katja Strasser; Julia Hoefele; Carsten Bergmann; Anja K Büscher; Rainer Büscher; Peter F Hoyer; Stefanie Weber
Journal:  Nephrol Dial Transplant       Date:  2012-11       Impact factor: 5.992

6.  Incidence of renal failure and nephroprotection by RAAS inhibition in heterozygous carriers of X-chromosomal and autosomal recessive Alport mutations.

Authors:  Johanna Temme; Frederick Peters; Katharina Lange; Yves Pirson; Laurence Heidet; Roser Torra; Jean-Pierre Grunfeld; Manfred Weber; Christoph Licht; Gerhard-Anton Müller; Oliver Gross
Journal:  Kidney Int       Date:  2012-01-11       Impact factor: 10.612

7.  X-linked Alport syndrome: natural history in 195 families and genotype- phenotype correlations in males.

Authors:  Jean Philippe Jais; Bertrand Knebelmann; Iannis Giatras; Mario DE Marchi; Gianfranco Rizzoni; Alessandra Renieri; Manfred Weber; Oliver Gross; Kai-Olaf Netzer; Frances Flinter; Yves Pirson; Christine Verellen; Jörgen Wieslander; Ulf Persson; Karl Tryggvason; Paula Martin; Jens Michael Hertz; Cornelis Schröder; Marek Sanak; Sarka Krejcova; Maria Fernanda Carvalho; Juan Saus; Corinne Antignac; Hubert Smeets; Marie Claire Gubler
Journal:  J Am Soc Nephrol       Date:  2000-04       Impact factor: 10.121

8.  Meta-analysis of genotype-phenotype correlation in X-linked Alport syndrome: impact on clinical counselling.

Authors:  Oliver Gross; Kai-Olaf Netzer; Romy Lambrecht; Stefan Seibold; Manfred Weber
Journal:  Nephrol Dial Transplant       Date:  2002-07       Impact factor: 5.992

9.  Milder clinical aspects of X-linked Alport syndrome in men positive for the collagen IV α5 chain.

Authors:  Yuya Hashimura; Kandai Nozu; Hiroshi Kaito; Koichi Nakanishi; Xue Jun Fu; Hiromi Ohtsubo; Fusako Hashimoto; Masafumi Oka; Takeshi Ninchoji; Shingo Ishimori; Naoya Morisada; Natsuki Matsunoshita; Naohiro Kamiyoshi; Norishige Yoshikawa; Kazumoto Iijima
Journal:  Kidney Int       Date:  2013-12-04       Impact factor: 10.612

10.  Evidence of digenic inheritance in Alport syndrome.

Authors:  Maria Antonietta Mencarelli; Laurence Heidet; Helen Storey; Michel van Geel; Bertrand Knebelmann; Chiara Fallerini; Nunzia Miglietti; Maria Fatima Antonucci; Francesco Cetta; John A Sayer; Arthur van den Wijngaard; Shu Yau; Francesca Mari; Mirella Bruttini; Francesca Ariani; Karin Dahan; Bert Smeets; Corinne Antignac; Frances Flinter; Alessandra Renieri
Journal:  J Med Genet       Date:  2015-01-09       Impact factor: 6.318

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  24 in total

1.  Detection of Splicing Abnormalities and Genotype-Phenotype Correlation in X-linked Alport Syndrome.

Authors:  Tomoko Horinouchi; Kandai Nozu; Tomohiko Yamamura; Shogo Minamikawa; Takashi Omori; Keita Nakanishi; Junya Fujimura; Akira Ashida; Mineaki Kitamura; Mitsuhiro Kawano; Wataru Shimabukuro; Chizuko Kitabayashi; Aya Imafuku; Keiichi Tamagaki; Koichi Kamei; Kenjirou Okamoto; Shuichiro Fujinaga; Masafumi Oka; Toru Igarashi; Akinori Miyazono; Emi Sawanobori; Rika Fujimaru; Koichi Nakanishi; Yuko Shima; Masafumi Matsuo; Ming Juan Ye; Yoshimi Nozu; Naoya Morisada; Hiroshi Kaito; Kazumoto Iijima
Journal:  J Am Soc Nephrol       Date:  2018-06-29       Impact factor: 10.121

2.  Evaluation of Suspected Autosomal Alport Syndrome Synonymous Variants.

Authors:  Rini Rossanti; Tomoko Horinouchi; Tomohiko Yamamura; China Nagano; Nana Sakakibara; Shinya Ishiko; Yuya Aoto; Atsushi Kondo; Sadayuki Nagai; Eri Okada; Shingo Ishimori; Hiroaki Nagase; Satoshi Matsui; Keiichi Tamagaki; Yoshifumi Ubara; Masahiko Nagahama; Yuko Shima; Koichi Nakanishi; Takeshi Ninchoji; Masafumi Matsuo; Kazumoto Iijima; Kandai Nozu
Journal:  Kidney360       Date:  2021-10-13

3.  Heterozygous Urinary Abnormality-Causing Variants of COL4A3 and COL4A4 Affect Severity of Autosomal Recessive Alport Syndrome.

Authors:  Tomoko Horinouchi; Tomohiko Yamamura; China Nagano; Nana Sakakibara; Shinya Ishiko; Yuya Aoto; Rini Rossanti; Koichi Nakanishi; Yuko Shima; Naoya Morisada; Kazumoto Iijima; Kandai Nozu
Journal:  Kidney360       Date:  2020-07-16

4.  [Analysis of Alport syndrome induced by type IV collagen alpha 5 gene mutation in two families].

Authors:  Qing Ye; Yingying Zhang; Jingjing Wang; Jianhua Mao
Journal:  Zhejiang Da Xue Xue Bao Yi Xue Ban       Date:  2019-06-25

5.  Collagen IVα345 dysfunction in glomerular basement membrane diseases. I. Discovery of a COL4A3 variant in familial Goodpasture's and Alport diseases.

Authors:  Elena N Pokidysheva; Harald Seeger; Vadim Pedchenko; Sergei Chetyrkin; Carsten Bergmann; Dale Abrahamson; Zhao Wei Cui; Eric Delpire; Fernando C Fervenza; Aaron L Fidler; Agnes B Fogo; Ariana Gaspert; Maik Grohmann; Oliver Gross; George Haddad; Raymond C Harris; Clifford Kashtan; A Richard Kitching; Johan M Lorenzen; Stephen McAdoo; Charles D Pusey; Marten Segelmark; Alicia Simmons; Paul A Voziyan; Timo Wagner; Rudolf P Wüthrich; Ming-Hui Zhao; Sergei P Boudko; Andreas D Kistler; Billy G Hudson
Journal:  J Biol Chem       Date:  2021-03-26       Impact factor: 5.486

6.  Case Report: Preimplantation Genetic Testing and Pregnancy Outcomes in Women With Alport Syndrome.

Authors:  Wei-Hui Shi; Mu-Jin Ye; Song-Chang Chen; Jun-Yu Zhang; Yi-Yao Chen; Zhi-Yang Zhou; Ning-Xin Qin; Xuan-You Zhou; Nai-Xin Xu; Zi-Ru Jiang; Jing Lin; He-Feng Huang; Chen-Ming Xu
Journal:  Front Genet       Date:  2021-02-09       Impact factor: 4.599

7.  Urinary epidermal growth factor as a prognostic marker for the progression of Alport syndrome in children.

Authors:  Baihong Li; Yanqin Zhang; Fang Wang; Viji Nair; Fangrui Ding; Huijie Xiao; Yong Yao; Matthias Kretzler; Wenjun Ju; Jie Ding
Journal:  Pediatr Nephrol       Date:  2018-06-11       Impact factor: 3.714

8.  Effect of heterozygous pathogenic COL4A3 or COL4A4 variants on patients with X-linked Alport syndrome.

Authors:  Yanqin Zhang; Jie Ding; Hongwen Zhang; Yong Yao; Huijie Xiao; Suxia Wang; Fang Wang
Journal:  Mol Genet Genomic Med       Date:  2019-03-18       Impact factor: 2.183

9.  Features of Autosomal Recessive Alport Syndrome: A Systematic Review.

Authors:  Jiwon M Lee; Kandai Nozu; Dae Eun Choi; Hee Gyung Kang; Ii-Soo Ha; Hae Ii Cheong
Journal:  J Clin Med       Date:  2019-02-03       Impact factor: 4.241

10.  Long-term outcome among females with Alport syndrome from a single pediatric center.

Authors:  Selasie Goka; Lawrence Copelovitch; Daniella Levy Erez
Journal:  Pediatr Nephrol       Date:  2020-10-13       Impact factor: 3.651

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