Research Paper Volume 15, Issue 24 pp 15599—15623
Unravelling diagnostic clusters and immune landscapes of cuproptosis patterns in intervertebral disc degeneration through dry and wet experiments
- 1 Guangzhou University of Chinese Medicine, Guangzhou 510405, China
- 2 The Affiliated TCM Hospital of Guangzhou Medical University, Guangzhou 510130, China
- 3 The Second Affiliated Hospital of Guangzhou Medical University, Guangzhou 510260, China
- 4 The First Affiliated Hospital of Guangzhou University of Chinese Medicine, Guangzhou 510405, China
- 5 Suzhou TCM Hospital Affiliated to Nanjing University of Chinese Medicine, Suzhou 215007, China
Received: September 13, 2023 Accepted: December 7, 2023 Published: December 29, 2023
https://doi.org/10.18632/aging.205449How to Cite
Copyright: © 2023 Zhang et al. This is an open access article distributed under the terms of the Creative Commons Attribution License (CC BY 4.0), which permits unrestricted use, distribution, and reproduction in any medium, provided the original author and source are credited.
Abstract
Cuproptosis is a manner of mitochondrial cell death induced by copper. However, cuproptosis modulators’ molecular processes in intervertebral disc degeneration (IDD) are still unclear. To better understand the processes of cuproptosis regulators in IDD, a thorough analysis of cuproptosis regulators in the diagnostic biomarkers and subtype determination of IDD was conducted. Then we collected clinical IDD samples and successfully established IDD model in vivo and in vitro, and carried out real-time quantitative polymerase chain reaction (RT-qPCR) validation of significant cuproptosis modulators. Totally we identified 8 crucial cuproptosis regulators in the present research. Using a random forest model, we isolated 8 diagnostic cuproptosis modulators for the prediction of IDD risk. Then, based on our following decision curve analysis, we selected the five diagnostic cuproptosis regulators with importance scores greater than two and built a nomogram model. Using a consensus clustering method, we divided IDD patients into two cuproptosis clusters (clusterA and clusterB) based on the important cuproptosis regulators. Additionally, each sample’s cuproptosis value was evaluated using principal component analysis in order to quantify the cuproptosis clusters. Patients in clusterB had higher cuproptosis scores than patients in clusterA. Moreover, we found that clusterB was involved in the immunity of natural killer cell, while clusterA was related to activated CD4 T cell, activated B cell, etc. Notably, cuproptosis modulators detected by RT-qPCR showed generally consistent expression levels with the bioinformatics results. To sum up, cuproptosis modulators play a crucial role in the pathogenic process of IDD, providing biomarkers and immunotherapeutic approaches for IDD.