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Andreini D, Melotti E, Vavassori C, Chiesa M, Piacentini L, Conte E, Mushtaq S, Manzoni M, Cipriani E, Ravagnani PM, Bartorelli AL, Colombo GI. Whole-Blood Transcriptional Profiles Enable Early Prediction of the Presence of Coronary Atherosclerosis and High-Risk Plaque Features at Coronary CT Angiography. Biomedicines 2022; 10:biomedicines10061309. [PMID: 35740331 PMCID: PMC9219643 DOI: 10.3390/biomedicines10061309] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 03/31/2022] [Revised: 05/17/2022] [Accepted: 05/31/2022] [Indexed: 12/10/2022] Open
Abstract
Existing tools to estimate cardiovascular (CV) risk have sub-optimal predictive capacities. In this setting, non-invasive imaging techniques and omics biomarkers could improve risk-prediction models for CV events. This study aimed to identify gene expression patterns in whole blood that could differentiate patients with severe coronary atherosclerosis from subjects with a complete absence of detectable coronary artery disease and to assess associations of gene expression patterns with plaque features in coronary CT angiography (CCTA). Patients undergoing CCTA for suspected coronary artery disease (CAD) were enrolled. Coronary stenosis was quantified and CCTA plaque features were assessed. The whole-blood transcriptome was analyzed with RNA sequencing. We detected highly significant differences in the circulating transcriptome between patients with high-degree coronary stenosis (≥70%) in the CCTA and subjects with an absence of coronary plaque. Notably, regression analysis revealed expression signatures associated with the Leaman score, the segment involved score, the segment stenosis score, and plaque volume with density <150 HU at CCTA. This pilot study shows that patients with significant coronary stenosis are characterized by whole-blood transcriptome profiles that may discriminate them from patients without CAD. Furthermore, our results suggest that whole-blood transcriptional profiles may predict plaque characteristics.
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Affiliation(s)
- Daniele Andreini
- Centro Cardiologico Monzino IRCCS, 20138 Milan, Italy; (E.M.); (C.V.); (M.C.); (L.P.); (E.C.); (S.M.); (M.M.); (E.C.); (P.M.R.); (A.L.B.)
- Department of Biomedical and Clinical Science “Luigi Sacco”, University of Milan, 20121 Milan, Italy
- Correspondence: (D.A.); (G.I.C.); Tel.: +39-0258002577 (D.A.); +39-0258002464 (G.I.C.)
| | - Eleonora Melotti
- Centro Cardiologico Monzino IRCCS, 20138 Milan, Italy; (E.M.); (C.V.); (M.C.); (L.P.); (E.C.); (S.M.); (M.M.); (E.C.); (P.M.R.); (A.L.B.)
| | - Chiara Vavassori
- Centro Cardiologico Monzino IRCCS, 20138 Milan, Italy; (E.M.); (C.V.); (M.C.); (L.P.); (E.C.); (S.M.); (M.M.); (E.C.); (P.M.R.); (A.L.B.)
- Department of Clinical Sciences and Community Health, University of Milan, 20121 Milan, Italy
| | - Mattia Chiesa
- Centro Cardiologico Monzino IRCCS, 20138 Milan, Italy; (E.M.); (C.V.); (M.C.); (L.P.); (E.C.); (S.M.); (M.M.); (E.C.); (P.M.R.); (A.L.B.)
- Department of Electronics, Information and Biomedical Engineering, Politecnico di Milano, 20133 Milan, Italy
| | - Luca Piacentini
- Centro Cardiologico Monzino IRCCS, 20138 Milan, Italy; (E.M.); (C.V.); (M.C.); (L.P.); (E.C.); (S.M.); (M.M.); (E.C.); (P.M.R.); (A.L.B.)
| | - Edoardo Conte
- Centro Cardiologico Monzino IRCCS, 20138 Milan, Italy; (E.M.); (C.V.); (M.C.); (L.P.); (E.C.); (S.M.); (M.M.); (E.C.); (P.M.R.); (A.L.B.)
- Department of Biomedical Sciences for Health, University of Milan, 20121 Milan, Italy
| | - Saima Mushtaq
- Centro Cardiologico Monzino IRCCS, 20138 Milan, Italy; (E.M.); (C.V.); (M.C.); (L.P.); (E.C.); (S.M.); (M.M.); (E.C.); (P.M.R.); (A.L.B.)
| | - Martina Manzoni
- Centro Cardiologico Monzino IRCCS, 20138 Milan, Italy; (E.M.); (C.V.); (M.C.); (L.P.); (E.C.); (S.M.); (M.M.); (E.C.); (P.M.R.); (A.L.B.)
| | - Eleonora Cipriani
- Centro Cardiologico Monzino IRCCS, 20138 Milan, Italy; (E.M.); (C.V.); (M.C.); (L.P.); (E.C.); (S.M.); (M.M.); (E.C.); (P.M.R.); (A.L.B.)
| | - Paolo M. Ravagnani
- Centro Cardiologico Monzino IRCCS, 20138 Milan, Italy; (E.M.); (C.V.); (M.C.); (L.P.); (E.C.); (S.M.); (M.M.); (E.C.); (P.M.R.); (A.L.B.)
| | - Antonio L. Bartorelli
- Centro Cardiologico Monzino IRCCS, 20138 Milan, Italy; (E.M.); (C.V.); (M.C.); (L.P.); (E.C.); (S.M.); (M.M.); (E.C.); (P.M.R.); (A.L.B.)
- Department of Biomedical and Clinical Science “Luigi Sacco”, University of Milan, 20121 Milan, Italy
| | - Gualtiero I. Colombo
- Centro Cardiologico Monzino IRCCS, 20138 Milan, Italy; (E.M.); (C.V.); (M.C.); (L.P.); (E.C.); (S.M.); (M.M.); (E.C.); (P.M.R.); (A.L.B.)
- Correspondence: (D.A.); (G.I.C.); Tel.: +39-0258002577 (D.A.); +39-0258002464 (G.I.C.)
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Chen M, Mithraprabhu S, Ramachandran M, Choi K, Khong T, Spencer A. Utility of Circulating Cell-Free RNA Analysis for the Characterization of Global Transcriptome Profiles of Multiple Myeloma Patients. Cancers (Basel) 2019; 11:cancers11060887. [PMID: 31242667 PMCID: PMC6628062 DOI: 10.3390/cancers11060887] [Citation(s) in RCA: 17] [Impact Index Per Article: 3.4] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 05/09/2019] [Revised: 06/12/2019] [Accepted: 06/21/2019] [Indexed: 12/13/2022] Open
Abstract
In this study, we evaluated the utility of extracellular RNA (exRNA) derived from the plasma of multiple myeloma (MM) patients for whole transcriptome characterization. exRNA from 10 healthy controls (HC), five newly diagnosed (NDMM), and 12 relapsed and refractory (RRMM) MM patients were analyzed and compared. We showed that ~45% of the exRNA genes were protein-coding genes and ~85% of the identified genes were covered >70%. Compared to HC, we identified 632 differentially expressed genes (DEGs) in MM patients, of which 26 were common to NDMM and RRMM. We further identified 54 and 191 genes specific to NDMM and RRMM, respectively, and these included potential biomarkers such as LINC00863, MIR6754, CHRNE, ITPKA, and RGS18 in NDMM, and LINC00462, PPBP, RPL5, IER3, and MIR425 in RRMM, that were subsequently validated using droplet digital PCR. Moreover, single nucleotide polymorphisms and small indels were identified in the exRNA, including mucin family genes that demonstrated different rates of mutations between NDMM and RRMM. This is the first whole transcriptome study of exRNA in hematological malignancy and has provided the basis for the utilization of exRNA to enhance our understanding of the MM biology and to identify potential biomarkers relevant to the diagnosis and prognosis of MM patients.
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Affiliation(s)
- Maoshan Chen
- Myeloma Research Group, Australian Centre for Blood Diseases (ACBD), Clinical Central School, Monash University, Melbourne 3004, Australia.
| | - Sridurga Mithraprabhu
- Myeloma Research Group, Australian Centre for Blood Diseases (ACBD), Clinical Central School, Monash University, Melbourne 3004, Australia.
- Malignant Haematology and Stem Cell Transplantation, Alfred Hospital, Melbourne 3004, Australia.
| | - Malarmathy Ramachandran
- Myeloma Research Group, Australian Centre for Blood Diseases (ACBD), Clinical Central School, Monash University, Melbourne 3004, Australia.
- Malignant Haematology and Stem Cell Transplantation, Alfred Hospital, Melbourne 3004, Australia.
| | - Kawa Choi
- Myeloma Research Group, Australian Centre for Blood Diseases (ACBD), Clinical Central School, Monash University, Melbourne 3004, Australia.
- Malignant Haematology and Stem Cell Transplantation, Alfred Hospital, Melbourne 3004, Australia.
| | - Tiffany Khong
- Myeloma Research Group, Australian Centre for Blood Diseases (ACBD), Clinical Central School, Monash University, Melbourne 3004, Australia.
- Malignant Haematology and Stem Cell Transplantation, Alfred Hospital, Melbourne 3004, Australia.
| | - Andrew Spencer
- Myeloma Research Group, Australian Centre for Blood Diseases (ACBD), Clinical Central School, Monash University, Melbourne 3004, Australia.
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