Circulating CXCL9, monocyte percentage, albumin, and C-reactive protein as a potential, non-invasive, molecular signature of carotid artery disease in 65+ patients with multimorbidity: a pilot study in Age.It.


Journal

Frontiers in endocrinology
ISSN: 1664-2392
Titre abrégé: Front Endocrinol (Lausanne)
Pays: Switzerland
ID NLM: 101555782

Informations de publication

Date de publication:
2024
Historique:
received: 26 03 2024
accepted: 31 05 2024
medline: 7 8 2024
pubmed: 7 8 2024
entrez: 7 8 2024
Statut: epublish

Résumé

Carotid endarterectomy (CEA) for the prevention of upcoming vascular and cerebral events is necessary in patients with high-grade stenosis (≥70%). In the framework of the Italian National project Age.It, a pilot study was proposed aiming at the discovery of a molecular signature with predictive potential of carotid stenosis comparing 65+ asymptomatic and symptomatic inpatients. A total of 42 inpatients have been enrolled, including 26 men and 16 women, with a mean age of 74 ± 6 years. Sixteen symptomatic and 26 asymptomatic inpatients with ≥70% carotid stenosis underwent CEA, according to the recommendations of the European Society for Vascular Surgery and the Society for Vascular Surgeons. Plaque biopsies and peripheral blood samples from the same individuals were obtained. Hematobiochemical analyses were conducted on all inpatients, and plasma cytokines/molecules, such as microRNAs (miRs), IL-6, sIL-6Ralpha, sgp130, myostatin (GDF8), follistatin, activin A, CXCL9, FGF21, and fibronectin, were measured using the ELISA standard technique. MiR profiles were obtained in the discovery phase including four symptomatic and four asymptomatic inpatients (both plasma and plaque samples), testing 734 miRs. MiRs emerging from the profiling comparison were validated through RT-qPCR analysis in the total cohort. The two groups of inpatients differ in the expression levels of blood c-miRs-126-5p and -1271-5p (but not in their plaques), which are more expressed in symptomatic subjects. Three cytokines were significant between the two groups: IL-6, GDF8, and CXCL9. Using receiver operating characteristic (ROC) analysis with a machine learning-based approach, the most significant blood molecular signature encompasses albumin, C-reactive protein (CRP), the percentage of monocytes, and CXCL9, allowing for the distinction of the two groups (AUC = 0.83, 95% c.i. [0.85, 0.81],

Sections du résumé

Background UNASSIGNED
Carotid endarterectomy (CEA) for the prevention of upcoming vascular and cerebral events is necessary in patients with high-grade stenosis (≥70%). In the framework of the Italian National project Age.It, a pilot study was proposed aiming at the discovery of a molecular signature with predictive potential of carotid stenosis comparing 65+ asymptomatic and symptomatic inpatients.
Methods UNASSIGNED
A total of 42 inpatients have been enrolled, including 26 men and 16 women, with a mean age of 74 ± 6 years. Sixteen symptomatic and 26 asymptomatic inpatients with ≥70% carotid stenosis underwent CEA, according to the recommendations of the European Society for Vascular Surgery and the Society for Vascular Surgeons. Plaque biopsies and peripheral blood samples from the same individuals were obtained. Hematobiochemical analyses were conducted on all inpatients, and plasma cytokines/molecules, such as microRNAs (miRs), IL-6, sIL-6Ralpha, sgp130, myostatin (GDF8), follistatin, activin A, CXCL9, FGF21, and fibronectin, were measured using the ELISA standard technique. MiR profiles were obtained in the discovery phase including four symptomatic and four asymptomatic inpatients (both plasma and plaque samples), testing 734 miRs. MiRs emerging from the profiling comparison were validated through RT-qPCR analysis in the total cohort.
Results and conclusion UNASSIGNED
The two groups of inpatients differ in the expression levels of blood c-miRs-126-5p and -1271-5p (but not in their plaques), which are more expressed in symptomatic subjects. Three cytokines were significant between the two groups: IL-6, GDF8, and CXCL9. Using receiver operating characteristic (ROC) analysis with a machine learning-based approach, the most significant blood molecular signature encompasses albumin, C-reactive protein (CRP), the percentage of monocytes, and CXCL9, allowing for the distinction of the two groups (AUC = 0.83, 95% c.i. [0.85, 0.81],

Identifiants

pubmed: 39109084
doi: 10.3389/fendo.2024.1407396
pmc: PMC11300199
doi:

Substances chimiques

C-Reactive Protein 9007-41-4
Biomarkers 0
Chemokine CXCL9 0
CXCL9 protein, human 0
Serum Albumin 0

Types de publication

Journal Article

Langues

eng

Sous-ensembles de citation

IM

Pagination

1407396

Informations de copyright

Copyright © 2024 Capri, Fronterrè, Collura, Giampieri, Carrino, Feroldi, Ciurca, Conte, Olivieri, Ullo, Pini, Vacirca, Astolfi, Vasuri, La Manna, Pasquinelli and Gargiulo.

Déclaration de conflit d'intérêts

The authors declare that the research was conducted in the absence of any commercial or financial relationships that could be construed as a potential conflict of interest. The author(s) declared that they were an editorial board member of Frontiers, at the time of submission. This had no impact on the peer review process and the final decision.

Auteurs

Miriam Capri (M)

Department of Medical and Surgical Sciences (DIMEC), Alma Mater Studiorum-University of Bologna, Bologna, Italy.
Interdepartmental Centre - Alma Mater Research Institute on Global Challenges and Climate Change, University of Bologna, Bologna, Italy.

Sara Fronterrè (S)

Vascular Surgery Unit, IRCCS Azienda Ospedaliero-Universitaria di Bologna, Bologna, Italy.

Salvatore Collura (S)

Department of Medical and Surgical Sciences (DIMEC), Alma Mater Studiorum-University of Bologna, Bologna, Italy.

Enrico Giampieri (E)

Department of Medical and Surgical Sciences (DIMEC), Alma Mater Studiorum-University of Bologna, Bologna, Italy.

Sara Carrino (S)

Department of Medical and Surgical Sciences (DIMEC), Alma Mater Studiorum-University of Bologna, Bologna, Italy.

Francesca Maria Feroldi (FM)

Vascular Surgery Unit, IRCCS Azienda Ospedaliero-Universitaria di Bologna, Bologna, Italy.

Erika Ciurca (E)

Department of Medical and Surgical Sciences (DIMEC), Alma Mater Studiorum-University of Bologna, Bologna, Italy.

Maria Conte (M)

Department of Medical and Surgical Sciences (DIMEC), Alma Mater Studiorum-University of Bologna, Bologna, Italy.
Interdepartmental Centre - Alma Mater Research Institute on Global Challenges and Climate Change, University of Bologna, Bologna, Italy.

Fabiola Olivieri (F)

Department of Clinical and Molecular Sciences, Università Politecnica delle Marche, Ancona, Italy.
Clinic of Laboratory and Precision Medicine, IRCCS INRCA, Ancona, Italy.

Ines Ullo (I)

Nephrology, Dialysis and Renal Transplant Unit, IRCCS Azienda Ospedaliero-Universitaria di Bologna, Bologna, Italy.

Rodolfo Pini (R)

Vascular Surgery Unit, IRCCS Azienda Ospedaliero-Universitaria di Bologna, Bologna, Italy.

Andrea Vacirca (A)

Department of Medical and Surgical Sciences (DIMEC), Alma Mater Studiorum-University of Bologna, Bologna, Italy.
Vascular Surgery Unit, IRCCS Azienda Ospedaliero-Universitaria di Bologna, Bologna, Italy.

Annalisa Astolfi (A)

Department of Medical and Surgical Sciences (DIMEC), Alma Mater Studiorum-University of Bologna, Bologna, Italy.
IRCCS Azienda Ospedaliero-Universitaria di Bologna, Bologna, Italy.

Francesco Vasuri (F)

Pathology Unit, IRCCS Azienda Ospedaliero-Universitaria di Bologna, Bologna, Italy.

Gaetano La Manna (G)

Department of Medical and Surgical Sciences (DIMEC), Alma Mater Studiorum-University of Bologna, Bologna, Italy.
Nephrology, Dialysis and Renal Transplant Unit, IRCCS Azienda Ospedaliero-Universitaria di Bologna, Bologna, Italy.

Gianandrea Pasquinelli (G)

Department of Medical and Surgical Sciences (DIMEC), Alma Mater Studiorum-University of Bologna, Bologna, Italy.
Pathology Unit, IRCCS Azienda Ospedaliero-Universitaria di Bologna, Bologna, Italy.

Mauro Gargiulo (M)

Department of Medical and Surgical Sciences (DIMEC), Alma Mater Studiorum-University of Bologna, Bologna, Italy.
Vascular Surgery Unit, IRCCS Azienda Ospedaliero-Universitaria di Bologna, Bologna, Italy.

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Classifications MeSH