ArticleKidney medicine2026
Caveolin-1 as a Marker of Endothelial Damage in Primary Antiphospholipid Syndrome Nephropathy.
Article in Kidney medicine, 2026. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.
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Abstract
Rationale & Objective: Thrombotic microangiopathy (TMA) as seen in antiphospholipid syndrome nephropathy (APSN) is associated with poor kidney outcomes. Caveolin-1 (Cav-1) has emerged as a potential marker of endothelial damage and microvascular injury. Study Design: This retrospective study investigates the diagnostic potential value of Cav-1 immunohistochemistry in APSN-related TMA. Setting & Participants: Patients were retrieved from the Piedmont and Aosta Valley Rare Disease Registry, from which a total of 771 APS cases had been recorded. Exposure: Only case with biopsy-proven renal involvement were included. Outcomes: Cases were classified into three histopathological clusters: TMA (APSN-TMA), hyperplastic vasculopathy, and subendothelial edema. Immunohistochemical staining for Cav-1 was performed and graded based on expression in peritubular and glomerular capillaries. Analytical Approach: Clinical and laboratory data, including antiphospholipid antibody profiles, were correlated with Cav-1 expression. Results: Out of 771 patients with APS, a total of 11 patients with primary APS and renal involvement were retrieved (1.43%). APSN-TMA was identified in 7 (63.3%) cases, hyperplastic vasculopathy in 2 (18.1%), and subendothelial edema in 2 (18.1%). Cav-1 expression was significantly higher in APSN-TMA cases in both glomerular ( Limitations: The small sample size warrants validation in larger cohorts, and Cav-1 expression, although associated with APSN, might not be disease-specific. Conclusions: APSN-TMA is a rare manifestation of a rare disease. Cav-1 is strongly associated with APSN-TMA and may serve as a novel marker for its diagnosis and stratification. Given the poor renal prognosis of APSN-TMA, identifying affected patients is crucial for optimizing management strategies.
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