CAR, mGPS and hs-mGPS: what is among them the best gero-biomarker for age-related diseases? and for what clinical application?

CAR Geromarkers age-related diseases (ARD) hs-mGPS mGPS

Journal

Mechanisms of ageing and development
ISSN: 1872-6216
Titre abrégé: Mech Ageing Dev
Pays: Ireland
ID NLM: 0347227

Informations de publication

Date de publication:
03 Jun 2024
Historique:
received: 15 04 2024
revised: 21 05 2024
accepted: 26 05 2024
medline: 6 6 2024
pubmed: 6 6 2024
entrez: 5 6 2024
Statut: aheadofprint

Résumé

The identification of biomarkers linked to the onset, progression, and prevention of age-related diseases (ARD), in the era of personalized medicine, represents the best goal of geroscience. Geroscience has the fundamental role of exploring and identifying the biological mechanisms of aging to suggest interventions capable of stopping/delaying the many pathological conditions and disabilities related to age. Therefore, it has become its key priority, as well as that of clinical practice and research, based on identifying and validating a range of biomarkers, geromarkers, which can be used to diagnostic, prognostic, or predictive clinical purposes. Indeed, geromarkers have, the potential to predict ARD trajectories and facilitate targeted interventions to slow down the related disabilities. Here our attention is paid to the inflammatory indexes (CAR, mGPS, hs-mGPS) linked to the relationship between the plasma levels of two inflammatory analytes, the typical positive protein of the acute phase, and the negative one, i.e. c-reactive protein (CRP) and albumin, respectively. These indexes allow us to understand the magnitude of the two main mechanisms predicted to influence the aging process, including inflammation and immunosenescence, as well as the degree of ARD severity. Evidence on their relationship with ARD is widely reported and discussed, to understand which can represent the best ARD geromarker, and its clinical application.

Identifiants

pubmed: 38838917
pii: S0047-6374(24)00052-6
doi: 10.1016/j.mad.2024.111952
pii:
doi:

Types de publication

Journal Article

Langues

eng

Sous-ensembles de citation

IM

Pagination

111952

Informations de copyright

Copyright © 2024 Elsevier B.V. All rights reserved.

Déclaration de conflit d'intérêts

Declaration of Competing Interest All authors declare that: 2) the paper is not under consideration elsewhere, 3) none of the paper's contents have been previously published, 4) the manuscript is original, and it is free from any form of plagiarism, 5) to have read and approved the manuscript, 6) to have not conflict of interests

Auteurs

Miriam Carella (M)

Complex Operative Unit of Clinical Pathology, ARNAS Civico Di Cristina e Benfratelli Hospitals, 90127 Palermo, Italy.

Daniele Magro (D)

Cellular, Molecular and Clinical Pathological Laboratory, Department of Biomedicine, Neuroscience and Advanced Diagnostics (Bi.N.D.), University of Palermo, 90134, Palermo, Italy.

Letizia Scola (L)

Cellular, Molecular and Clinical Pathological Laboratory, Department of Biomedicine, Neuroscience and Advanced Diagnostics (Bi.N.D.), University of Palermo, 90134, Palermo, Italy.

Calogera Pisano (C)

Department of Precision Medicine in Medicine, Surgery, Critical Areas, University of Palermo, 90127, Palermo, Italy.

Francesco Gervasi (F)

Specialized Laboratory of Oncology, ARNAS Civico Di Cristina e Benfratelli Hospitals, 90127 Palermo, Italy.

Caterina Giambanco (C)

Complex Operative Unit of Clinical Pathology, ARNAS Civico Di Cristina e Benfratelli Hospitals, 90127 Palermo, Italy.

Tommaso Silvano Aronica (TS)

Complex Operative Unit of Clinical Pathology, ARNAS Civico Di Cristina e Benfratelli Hospitals, 90127 Palermo, Italy.

Giacomo Frati (G)

IRCCS Neuromed, Pozzilli, Italy; Department of Medical-Surgical Sciences and Biotechnologies, Sapienza University of Rome, Latina, Italy.

Carmela Rita Balistreri (CR)

Cellular, Molecular and Clinical Pathological Laboratory, Department of Biomedicine, Neuroscience and Advanced Diagnostics (Bi.N.D.), University of Palermo, 90134, Palermo, Italy. Electronic address: carmelarita.balistreri@unipa.it.

Classifications MeSH