| Title: |
Autologous Cell Therapy for Chronic Limb Threatening Ischemia: Towards Personalized Medicine |
| Authors: |
Caradonna, Eugenio; Setacci, Francesco; Lanza, Jessica; Ferrara, Fulvio; Setacci, Carlo; Danese, Massimo; Lanza, Gaetano |
| Source: |
Angiology ; ISSN 0003-3197 1940-1574 |
| Publisher Information: |
SAGE Publications |
| Publication Year: |
2025 |
| Description: |
Peripheral Artery Disease (PAD) with Chronic Limb Threatening Ischemia (CLTI) is a severe condition at risk of amputation, and often conventional surgical and endovascular procedures and/or medical therapy are insufficient. The present review considers current knowledge regarding autologous cell therapy and regenerative medicine for PAD with CLTI. We evaluated cell-based therapies in the recent literature, that are pivotal in treating vascular disorders by promoting angiogenesis, vascular restoration, and tissue regeneration; furthermore, we provided an overview of the relevant main clinical studies. Clinical conditions and risk factors of patients correlate with the performance of autologous cell-based therapies and the probability of success. Nevertheless, the current evidence indicates that these therapies are promising, necessitating further research. Autologous cell therapy and regenerative medicine can offer additional support for treating PAD with CLTI. These advanced techniques are becoming more tailored and substantial for their application in clinical practice. Personalized Medicine represents a contemporary paradigm that calls for consideration of individual patient’s clinical conditions, risk factors, and biomarkers. |
| Document Type: |
article in journal/newspaper |
| Language: |
English |
| DOI: |
10.1177/00033197251376093 |
| Availability: |
https://doi.org/10.1177/00033197251376093; https://journals.sagepub.com/doi/pdf/10.1177/00033197251376093; https://journals.sagepub.com/doi/full-xml/10.1177/00033197251376093 |
| Rights: |
https://creativecommons.org/licenses/by-nc/4.0/ ; https://journals.sagepub.com/page/policies/text-and-data-mining-license |
| Accession Number: |
edsbas.2B986938 |
| Database: |
BASE |