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Circulating biomarkers in familial cerebral cavernous malformation

Authors :
Lazzaroni, Francesca
Meessen, Jennifer M. T. A.
Sun, Ying
Lanfranconi, Silvia
Scola, Elisa
D'Alessandris, Quintino Giorgio
Tassi, Laura
Carriero, Maria Rita
Castori, Marco
Marino, Silvia
Blanda, Adriana
Nicolis, Enrico B.
Novelli, Deborah
Calabrese, Roberta
Agnelli, Nicolo M.
Bottazzi, Barbara
Leone, Roberto
Mazzola, Selene
Besana, Silvia
Catozzi, Carlotta
Nezi, Luigi
Lampugnani, Maria G.
Malinverno, Matteo
Grdseloff, Nastasja
Roedel, Claudia J.
Jahromi, Behnam Rezai
Bolli, Niccolo
Passamonti, Francesco
Magnusson, Peetra
Abdelilah-Seyfried, Salim
Dejana, Elisabetta
Latini, Roberto
Lazzaroni, Francesca
Meessen, Jennifer M. T. A.
Sun, Ying
Lanfranconi, Silvia
Scola, Elisa
D'Alessandris, Quintino Giorgio
Tassi, Laura
Carriero, Maria Rita
Castori, Marco
Marino, Silvia
Blanda, Adriana
Nicolis, Enrico B.
Novelli, Deborah
Calabrese, Roberta
Agnelli, Nicolo M.
Bottazzi, Barbara
Leone, Roberto
Mazzola, Selene
Besana, Silvia
Catozzi, Carlotta
Nezi, Luigi
Lampugnani, Maria G.
Malinverno, Matteo
Grdseloff, Nastasja
Roedel, Claudia J.
Jahromi, Behnam Rezai
Bolli, Niccolo
Passamonti, Francesco
Magnusson, Peetra
Abdelilah-Seyfried, Salim
Dejana, Elisabetta
Latini, Roberto
Publication Year :
2024

Abstract

Background Cerebral Cavernous Malformation (CCM) is a rare cerebrovascular disease, characterized by the presence of multiple vascular malformations that may result in intracerebral hemorrhages (ICHs), seizure(s), or focal neurological deficits (FND). Familial CCM (fCCM) is due to loss of function mutations in one of the three independent genes KRIT1 (CCM1), Malcavernin (CCM2), or Programmed Cell death 10 (PDCD10/CCM3). The aim of this study was to identify plasma protein biomarkers of fCCM to assess the severity of the disease and predict its progression.Methods Here, we have investigated plasma samples derived from n = 71 symptomatic fCCM patients (40 female/31 male) and n =17 healthy donors (HD) (9 female/8 male) of the Phase 1/2 Treat_CCM trial, using multiplexed protein profiling approaches.Findings Biomarkers as sCD14 (p = 0.00409), LBP (p = 0.02911), CXCL4 (p = 0.038), ICAM-1 (p = 0.02013), ANG2 (p = 0.026), CCL5 (p = 0.00403), THBS1 (p = 0.0043), CRP (p = 0.0092), and HDL (p = 0.027), were significantly different in fCCM compared to HDs. Of note, sENG (p = 0.011), THBS1 (p = 0.011) and CXCL4 (p = 0.011), were correlated to CCM genotype. sROBO4 (p = 0.014), TM (p = 0.026) and CRP (p = 0.040) were able to predict incident adverse clinical events, such as ICH, FND or seizure. GDF-15, FLT3L, CXCL9, FGF-21 and CDCP1, were identified as predictors of the formation of new MRI-detectable lesions over 2-year follow-up. Furthermore, the functional relevance of ang2, thbs1, robo4 and cdcp1 markers was validated by zebrafish pre-clinical model of fCCM.Interpretation Overall, our study identifies a set of biochemical parameters to predict CCM progression, suggesting biological interpretations and potential therapeutic approaches to CCM disease.

Details

Database :
OAIster
Notes :
application/pdf, English
Publication Type :
Electronic Resource
Accession number :
edsoai.on1428116666
Document Type :
Electronic Resource
Full Text :
https://doi.org/10.1016.j.ebiom.2023.104914