Abstract:BackgroundAlport syndrome is an inherited renal disorder characterized by glomerular basement membrane lesions with hematuria, proteinuria and frequent hearing defects and ocular abnormalities. The disease is associated with mutations in genes encoding α3, α4, or α5 chains of type IV collagen, namely COL4A3 and COL4A4 in chromosome 2 and COL4A5 in chromosome X. In contrast to the well-known X-linked and autosomal recessive phenotypes, there is very little information about the autosomal dominant. In view of th… Show more
“…In 80%-85% of cases, AS is inherited in an X-linked manner (XLAS) and is caused by mutations in COL4A5. Additional, inheritance patterns include autosomal recessive AS (ARAS) manner, or, less commonly, autosomal dominant AS (ADAS) owing to mutations in COL4A3 or COL4A4 [19] .…”
Section: Asmentioning
confidence: 99%
“…Cervera-Acedo et al [19] assessed a Spanish family with variable phenotypes of ADAS via clinical, histological, and genetic analyses. They reported that carriers of p.G333E and p.P1461L or p.S1492C mutations in COL4A3 presented an earlier onset of disease than individuals, who carried only the p.G333E mutation.…”
With the prevalence of end stage renal disease steadily increasing, chronic kidney disease (CKD) represents an impending public healthcare challenge. Classical diagnostic biomarkers of CKD, including creatinine, have low sensitivity and specificity. Thus, novel diagnostic and prognostic biomarkers for patients at high risk of early-stage progression are urgently needed. Personalized medicine approaches generally stratify patients according to their biological or genomic make-up. Targeted clinical trials require more precise identification of these subgroups. The use of new biomarkers obtained via high-throughput technologies is expected in future, accompanied by vast improvements in computational power applied in genomics, proteomics, and metabolomics studies using biological fluids and renal biopsy tissue. Genomic biomarkers may not only provide additional information regarding the etiology and mechanisms underlying CKD progression, but may also enable early diagnosis and the selection of appropriate drugs, thereby personalizing therapy. This review discusses commonly used research methods in genomic medicine and summarizes currently available genomic biomarkers in inherited and acquired CKD.
“…In 80%-85% of cases, AS is inherited in an X-linked manner (XLAS) and is caused by mutations in COL4A5. Additional, inheritance patterns include autosomal recessive AS (ARAS) manner, or, less commonly, autosomal dominant AS (ADAS) owing to mutations in COL4A3 or COL4A4 [19] .…”
Section: Asmentioning
confidence: 99%
“…Cervera-Acedo et al [19] assessed a Spanish family with variable phenotypes of ADAS via clinical, histological, and genetic analyses. They reported that carriers of p.G333E and p.P1461L or p.S1492C mutations in COL4A3 presented an earlier onset of disease than individuals, who carried only the p.G333E mutation.…”
With the prevalence of end stage renal disease steadily increasing, chronic kidney disease (CKD) represents an impending public healthcare challenge. Classical diagnostic biomarkers of CKD, including creatinine, have low sensitivity and specificity. Thus, novel diagnostic and prognostic biomarkers for patients at high risk of early-stage progression are urgently needed. Personalized medicine approaches generally stratify patients according to their biological or genomic make-up. Targeted clinical trials require more precise identification of these subgroups. The use of new biomarkers obtained via high-throughput technologies is expected in future, accompanied by vast improvements in computational power applied in genomics, proteomics, and metabolomics studies using biological fluids and renal biopsy tissue. Genomic biomarkers may not only provide additional information regarding the etiology and mechanisms underlying CKD progression, but may also enable early diagnosis and the selection of appropriate drugs, thereby personalizing therapy. This review discusses commonly used research methods in genomic medicine and summarizes currently available genomic biomarkers in inherited and acquired CKD.
“…In addition, the diagnosis of XLAS is complicated, which is based on the kidney biopsy, clinical symptoms, extrarenal manifestation, and family history. Nevertheless, ∼10–15% of XLAS cases had a negative family history; those patients harbored COL4A5 de novo variants ( Lemmink et al, 1997 ; Haas, 2009 ; Cervera-Acedo et al, 2017 ; Sun et al, 2021 ). Currently, next generation sequencing (NGS) has evolved so much that with little effort and for a reasonable price, a great deal of information can be obtain.…”
Chronic renal disease associated with X-linked Alport syndrome (XLAS) is relatively rare. However, due to the lack of specificity in the pathologic and clinical manifestations of the disease, it is easy to be misdiagnosed. In this study, we included three Chinese families with XLAS and used targeted NGS to find gene variants. In family X1, the 36-year-old male proband had hematuria, massive proteinuria, sensorineural deafness and ESRD at 33. In silico prediction showed the novel c.1424-4C > G variant reduced the score of the normal 3’ splice site from 0.47 to 0.00 (according to BDGP). Transcriptional analysis from his peripheral blood cells indicated that it caused the insertion of an amino acid [p.(Lys474_Gly475insVal)]. In family X2, the proband was a 32-year-old male, who had hematuria, proteinuria, hypertension, hearing loss and progressed into ESRD at 30 years. He carried a novel missense variant c.2777G > T p.(Gly926Val). In family X3, the proband, a 16-year-old male, had hematuria, massive proteinuria, sensorineural deafness and ESRD; the results of renal pathological findings were consistent with AS. He carried a novel variant c.4529-2A > T, so did his mother with ESRD and probable XLAS. Bioinformatic analysis with BDGP showed that it abolished the acceptor site from 0.83 to 0.00. RT-PCR analysis from his kidney tissue indicated that it caused exon 50 skipping and exon 50 skipping along with inserting a cryptic exon derived from intron 49 p.[Gly1510Aspfs*11, Gly1510Alafs*35]. Another novel missense variant c.1552G > A p.(Gly518Arg) was identified in his mother and his aunt. No skewed X-chromosome inactivation was involved in these two female patients. In conclusion, four novel variants in COL4A5 were identified and transcriptional analysis is essential to investigate the pathogenicity of intronic variants. Thus we found a rare event in a female patient with XLAS caused by two COL4A5 variants in trans.
“…The most frequent cause of AS is a variant in the COL4A5 gene (encoding α5 chain) located on the X chromosome, thus causing the Xlinked type of AS (XAS). Autosomal recessive AS (ARAS) or autosomal dominant type of AS (ADAS) are caused by variants in the COL4A3 or COL4A4 genes (encoding α3 or α4 chains, respectively) (1,(6)(7)(8)(9)(10)(11)(12)(13). Analysis of COL4 variants showed that XAS occurs in about one in 2000 individuals and single heterozygous COL4A3 and/or COL4A4 variants in about one in 100 (14).…”
Alport syndrome (AS) and thin basement membrane nephropathy (TBMN) are part of the spectrum of kidney disorders caused by pathogenic variants in α3, α4, or α5 chains of the collagen type IV, the major structural component of the glomerular basement membrane (GBM). Using targeted next-generation sequencing (NGS), 34 AS/TBMN patients (58.8% male) from 12 unrelated families were found positive for heterozygous c.2881+1G>A variant of the COL4A3gene, that is considered disease-causing. All patients were from the continental or island part of Croatia. Clinical, laboratory, and histopathological data collected from the medical records were analyzed and compared to understand the clinical course and prognosis of the affected patients. At the time of biopsy or first clinical evaluation, the mean age was 31 years (median: 35 years; range: 1 – 72 years). Hematuria was present in 33 patients (97.1%) and 19 (55.9%) patients had proteinuria. There were 6 (17.6%) patients with hearing loss, 4 (11.8%) with ocular lesions, and 11 (32.4%) with hypertension. Twenty-three (67.6%) patients had proteinuria at follow-up, and 5 (14.7%) patients with the median age of 48 years (range: 27-55) progressed to kidney failure, started dialysis, or underwent kidney transplantation. Of the 13 patients who underwent kidney biopsy, 4 (30.8%) developed focal segmental glomerulosclerosis (FSGS), and 8 (66.7%) showed lamellation of the GBM, including all patients with FSGS. It is essential to conduct a detailed analysis of each collagen type IV genetic variant to optimize the prognosis and therapeutic approach for affected patients.
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