TY - JOUR
T1 - Circulating biomarkers in familial cerebral cavernous malformation
AU - Lazzaroni, Francesca
AU - Meessen, Jennifer M.T.A.
AU - Sun, Ying
AU - Lanfranconi, Silvia
AU - Scola, Elisa
AU - D'Alessandris, Quintino Giorgio
AU - Tassi, Laura
AU - Carriero, Maria Rita
AU - Castori, Marco
AU - Marino, Silvia
AU - Marino, Salvatore
AU - Blanda, Adriana
AU - Nicolis, Enrico B.
AU - Novelli, Deborah
AU - Calabrese, Roberta
AU - Agnelli, Nicolò M.
AU - Bottazzi, Barbara
AU - Leone, Roberto
AU - Mazzola, Selene
AU - Besana, Silvia
AU - Catozzi, Carlotta
AU - Nezi, Luigi
AU - Lampugnani, Maria G.
AU - Malinverno, Matteo
AU - Grdseloff, Nastasja
AU - Rödel, Claudia J.
AU - Rezai Jahromi, Behnam
AU - Bolli, Niccolò
AU - Passamonti, Francesco
AU - Magnusson, Peetra U.
AU - Abdelilah-Seyfried, Salim
AU - Dejana, Elisabetta
AU - Latini, Roberto
PY - 2024
Y1 - 2024
N2 - 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. Funding: Italian Medicines Agency, Associazione Italiana per la Ricerca sul Cancro (AIRC), ERC, Leducq Transatlantic Network of Excellence, Swedish Research Council.
AB - 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. Funding: Italian Medicines Agency, Associazione Italiana per la Ricerca sul Cancro (AIRC), ERC, Leducq Transatlantic Network of Excellence, Swedish Research Council.
KW - Biomarkers
KW - Vascular biology
KW - Proteomics
KW - Familial cerebral cavernous malformation
KW - Biomarkers
KW - Vascular biology
KW - Proteomics
KW - Familial cerebral cavernous malformation
UR - http://hdl.handle.net/10807/289645
U2 - 10.1016/j.ebiom.2023.104914
DO - 10.1016/j.ebiom.2023.104914
M3 - Article
SN - 2352-3964
VL - 99
SP - N/A-N/A
JO - EBioMedicine
JF - EBioMedicine
ER -