A review on cell-free RNA profiling: Insights into metabolic diseases and predictive value for bariatric surgery outcomes.
Détails
ID Serval
serval:BIB_BD997FF1E914
Type
Article: article d'un périodique ou d'un magazine.
Collection
Publications
Institution
Titre
A review on cell-free RNA profiling: Insights into metabolic diseases and predictive value for bariatric surgery outcomes.
Périodique
Molecular metabolism
ISSN
2212-8778 (Electronic)
ISSN-L
2212-8778
Statut éditorial
Publié
Date de publication
09/2024
Peer-reviewed
Oui
Volume
87
Pages
101987
Langue
anglais
Notes
Publication types: Journal Article ; Review
Publication Status: ppublish
Publication Status: ppublish
Résumé
The advent of liquid biopsies presents a novel, minimally invasive methodology for the detection of disease biomarkers, offering a significant advantage over traditional biopsy techniques. Particularly, the analysis of cell-free RNA (cfRNA) has garnered interest due to its dynamic expression profiles and the capability to study various RNA species, including messenger RNA (mRNA) and long non-coding RNA (lncRNA). These attributes position cfRNA as a versatile biomarker with broad potential applications in clinical research and diagnostics.
This review delves into the utility of cfRNA biomarkers as prognostic tools for obesity-related comorbidities, such as diabetes, dyslipidemia, and non-alcoholic fatty liver disease.
We evaluate the efficacy of cfRNA in forecasting metabolic outcomes associated with obesity and in identifying patients likely to experience favorable clinical outcomes following bariatric surgery. Additionally, this review synthesizes evidence from studies examining circulating cfRNA across different physiological and pathological states, with a focus on its role in diabetes, including disease progression monitoring and treatment efficacy assessment. Through this exploration, we underscore the emerging relevance of cfRNA signatures in the context of obesity and its comorbidities, setting the stage for future investigative efforts in this rapidly advancing domain.
This review delves into the utility of cfRNA biomarkers as prognostic tools for obesity-related comorbidities, such as diabetes, dyslipidemia, and non-alcoholic fatty liver disease.
We evaluate the efficacy of cfRNA in forecasting metabolic outcomes associated with obesity and in identifying patients likely to experience favorable clinical outcomes following bariatric surgery. Additionally, this review synthesizes evidence from studies examining circulating cfRNA across different physiological and pathological states, with a focus on its role in diabetes, including disease progression monitoring and treatment efficacy assessment. Through this exploration, we underscore the emerging relevance of cfRNA signatures in the context of obesity and its comorbidities, setting the stage for future investigative efforts in this rapidly advancing domain.
Mots-clé
Humans, Bariatric Surgery/methods, Cell-Free Nucleic Acids/genetics, Metabolic Diseases/genetics, Metabolic Diseases/metabolism, Obesity/surgery, Obesity/genetics, Obesity/metabolism, Biomarkers, Prognosis, Non-alcoholic Fatty Liver Disease/genetics, Non-alcoholic Fatty Liver Disease/metabolism, Non-alcoholic Fatty Liver Disease/surgery, RNA, Long Noncoding/genetics, RNA, Long Noncoding/metabolism, Comorbidities, Diabetes, Dyslipidemia, Fatty liver disease, Metabolic outcomes, Metabolic surgery, Obesity, cfRNA
Pubmed
Web of science
Open Access
Oui
Création de la notice
12/07/2024 12:15
Dernière modification de la notice
13/08/2024 6:48