Clinical variability and genetic variants in alport spectrum: a retrospective cohort study

Alport syndrome (AS) and thin basement membrane nephropathy (TBMN) are hereditary disorders characterized by glomerular basement membrane (GBM) abnormalities. Differentiating between them remains challenging due to overlapping clinical, and genetic features. We retrospectively identified 95 adult patients with AS and TBMN on kidney biopsy (2010–2024). Following prospective genetic testing and exclusion of four patients with non-classic gene variants (CD151, FN1, MYH9), the final cohort of 91 patients (37 males, 54 females) was analyzed for clinical course, histopathology, and genetic findings. GBM abnormalities were identified in 3.4% of native kidney biopsies. Of these patients, 21 (23%) were diagnosed with AS and 70 (77%) with TBMN; additional renal pathology beyond GBM abnormalities was present in 5/21 AS patients and 37/70 TBMN patients. At biopsy, serum creatinine, Estimated Glomerular Filtration Rate (eGFR), proteinuria, and hematuria were comparable between groups (all p ≥ 0.37). Additional renal pathology was more frequent in TBMN than AS (53% vs. 24%, p = 0.02). AS patients had significantly thicker GBM (333 vs. 203 nm, p = 0.009) and more glomerulosclerosis and interstitial fibrosis and tubular atrophy (IFTA) ( p = 0.05 and p = 0.02, respectively) than TBMN. A pathogenic or likely pathogenic genetic variant was identified in 90% of AS and 27% of TBMN patients ( p < 0.001); variants of uncertain significance (VUS) were found in a further 10% and 6%, respectively, and were not counted as positive. Positive genetic findings were associated with a more frequent family history of kidney disease (55% vs. 26%, p = 0.008) but not with hematuria or proteinuria. Disease progression occurred in 56% of AS and 25% of TBMN patients and was not confounded by the presence of additional renal pathology ( p = 0.37). Progression correlated with baseline eGFR ( p < 0.001) but not with genetic findings ( p = 0.25) or variant pathogenicity ( p = 0.58). AS and TBMN represent a clinical, genetic, and histopathological continuum within the Alport spectrum. Genetic testing aids diagnosis, but a binary positive/negative result alone does not predict disease progression, likely reflecting the limitation of this classification rather than a true absence of genotype-phenotype correlation. Precision management of these patients will require risk models that integrate genetic findings, variant-specific molecular effects, and clinical parameters — not genetic status alone.

Authors

Institutions

Publication Details

Journal
BMC Nephrology
Published
2026-11-02
DOI
https://doi.org/10.1186/s12882-026-05479-8
Primary Topic
Renal Diseases and Glomerulopathies
Type
article
Field-Weighted Citation Impact
0.00

Funders

Controls
|||
ALL TIME
JAN
FEB
MAR
APR
MAY
JUN
JUL
AUG
SEP
OCT
article

Clinical variability and genetic variants in alport spectrum: a retrospective cohort study

Špela Borštnar, Nejc Piko, Andrej Zupan, Nika Kojc et al.
BMC Nephrology
Renal Diseases and Glomerulopathies
article

Clinical variability and genetic variants in alport spectrum: a retrospective cohort study

Špela Borštnar, Nejc Piko, Andrej Zupan, Nika Kojc, Jerica Pleško, Željka Večerić‐Haler, Špela Kert
article en

Abstract

Alport syndrome (AS) and thin basement membrane nephropathy (TBMN) are hereditary disorders characterized by glomerular basement membrane (GBM) abnormalities. Differentiating between them remains challenging due to overlapping clinical, and genetic features. We retrospectively identified 95 adult patients with AS and TBMN on kidney biopsy (2010–2024). Following prospective genetic testing and exclusion of four patients with non-classic gene variants (CD151, FN1, MYH9), the final cohort of 91 patients (37 males, 54 females) was analyzed for clinical course, histopathology, and genetic findings. GBM abnormalities were identified in 3.4% of native kidney biopsies. Of these patients, 21 (23%) were diagnosed with AS and 70 (77%) with TBMN; additional renal pathology beyond GBM abnormalities was present in 5/21 AS patients and 37/70 TBMN patients. At biopsy, serum creatinine, Estimated Glomerular Filtration Rate (eGFR), proteinuria, and hematuria were comparable between groups (all p ≥ 0.37). Additional renal pathology was more frequent in TBMN than AS (53% vs. 24%, p = 0.02). AS patients had significantly thicker GBM (333 vs. 203 nm, p = 0.009) and more glomerulosclerosis and interstitial fibrosis and tubular atrophy (IFTA) ( p = 0.05 and p = 0.02, respectively) than TBMN. A pathogenic or likely pathogenic genetic variant was identified in 90% of AS and 27% of TBMN patients ( p < 0.001); variants of uncertain significance (VUS) were found in a further 10% and 6%, respectively, and were not counted as positive. Positive genetic findings were associated with a more frequent family history of kidney disease (55% vs. 26%, p = 0.008) but not with hematuria or proteinuria. Disease progression occurred in 56% of AS and 25% of TBMN patients and was not confounded by the presence of additional renal pathology ( p = 0.37). Progression correlated with baseline eGFR ( p < 0.001) but not with genetic findings ( p = 0.25) or variant pathogenicity ( p = 0.58). AS and TBMN represent a clinical, genetic, and histopathological continuum within the Alport spectrum. Genetic testing aids diagnosis, but a binary positive/negative result alone does not predict disease progression, likely reflecting the limitation of this classification rather than a true absence of genotype-phenotype correlation. Precision management of these patients will require risk models that integrate genetic findings, variant-specific molecular effects, and clinical parameters — not genetic status alone.

BMC Nephrology
University of Ljubljana (SI), Ljubljana University Medical Centre (SI), University Clinical Centre Maribor (SI)
Javna Agencija za Raziskovalno Dejavnost RS
Good health and well-being
Openalex Percentile: Top 14%
Renal Diseases and Glomerulopathies
AI Navigator

Ask Laika to Summarize, Analyze, and Connect papers live on the map.

Summarize Papers & Methodologies

Extract key findings, datasets, and comparative methods across publications.

Benchmark Rankings & Visual Analytics

Rank top research institutions, authors, funders, topics, and journals by Field-Weighted Citation Impact (FWCI) and paper volume with instant charts.

Connect Distant Disciplines

Bridge topological clusters on the map to find hidden collaborative intersections.

Laika access coming soon