The patterns of communication among different chondrocyte subtypes in human cartilage degeneration and regeneration help us understand the microenvironment of osteoarthritis and optimize cell-targeted therapies. Here, a single-cell transcriptome dataset of chondrocytes is used to explore the synergistic and communicative patterns of different chondrocyte subtypes. We collected 1600 chondrocytes from 10 patients with osteoarthritis and analyzed the active communication patterns for the first time based on network analysis and pattern recognition at the single-cell level. Manifold learning and quantitative contrasts were performed to analyze conserved and specific communication pathways. We found that ProCs (Proliferative chondrocytes), ECs (Effector chondrocytes), preHTCs (Prehypertrophic chondrocytes), HTCs (Hypertrophic chondrocytes), and FCs (Fibrocartilage chondrocytes) are more active in incoming and outgoing signaling patterns, which is consistent with studies on their close functional cooperation. Among them, preHTCs play multiple roles in chondrocyte communication, and ProCs and preHTCs have many overlapping pathways. These two subtypes are the most active among all chondrocyte subtypes. Interestingly, ECs and FCs are a pair of "mutually exclusive" subtypes, of which ECs are predominant in incoming patterns and FCs in outgoing patterns. The active signaling pathways of ECs and FCs largely do not overlap. COLLAGEN and LAMININ are the main pivotal pathways, which means they are very important in the repair and expansion of joint homeostasis. Notably, only preHTCs assume multiple roles (including sender, receiver, mediator, and influencer) and are involved in multiple communication pathways. We have examined their communication patterns from the perspective of cellular interactions, revealed the relationships among different chondrocyte subtypes, and, in particular, identified a number of active subtypes and pathways that are important for targeted therapy in the osteoarthritic microenvironment. Our findings provide a new research paradigm and new insights into understanding chondrocyte activity patterns in the osteoarthritic microenvironment.
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http://dx.doi.org/10.1038/s41598-023-41874-z | DOI Listing |
Am J Physiol Cell Physiol
January 2025
Division of Orthopedics, The third affiliated hospital of Sun Yat-sen university, Guangzhou 510530, China.
This study aimed to investigate the regulation of fibroblast phenotypes by MSCs delivering copper sulfide (CuS) nanoparticles (NPs) loaded with CDKN1A plasmids and their role in cartilage repair during osteoarthritis (OA). Single-cell RNA sequencing data from the GEO database were analyzed to identify subpopulations within the OA immune microenvironment. Quality control, filtering, PCA dimensionality reduction, and tSNE clustering were performed to obtain detailed cell subtypes.
View Article and Find Full Text PDFInt Immunopharmacol
January 2025
Department of Orthopedics, Tongji Hospital, Tongji Medical College, Huazhong University of Science and Technology, 1095 Jiefang Avenue, Wuhan City, Hubei Province, China. Electronic address:
Objective: To study the effect of CCR1 and its ligands on macrophage polarization and evaluate its effect on chondrocytes in relieving the progression of osteoarthritis.
Methods: RAW cells were polarized to M1/M2 subtype, and then different concentrations of BX471 were added to selectively inhibit CCR1. The polarization of the cells was detected by RT-qPCR, immunofluorescence and flow cytometry.
Sci Rep
January 2025
Department of Orthopedic Surgery, 920th Hospital of Joint Logistics Support Force of PLA, Kunming, China.
Osteoarthritis (OA) is a degenerative bone disease characterized by the destruction of joint cartilage and synovial inflammation, involving intricate immune regulation processes. Disulfidptosis, a novel form of programmed cell death, has recently been identified; however, the effects and roles of disulfidptosis-related genes (DR-DEGs) in OA remain unclear. We obtained six OA datasets from the GEO database, using four as training sets and two as validation sets.
View Article and Find Full Text PDFJ Mol Biol
December 2024
School of Basic Medical Sciences, Southwest Medical University, Luzhou 646000, China; Central Nervous System Drug Key Laboratory of Sichuan Province, Luzhou 646000, China; Medical Engineering & Medical Informatics Integration and Transformational Medicine Key Laboratory of Luzhou City, Luzhou 646000, China. Electronic address:
Osteoarthritis (OA) is the most common degenerative joint disease and the second leading cause of disability worldwide. Single-omics analyses are far from elucidating the complex mechanisms of lipid metabolic dysfunction in OA. This study identified a shared lipid metabolic signature of OA by integrating metabolomics, single-cell and bulk RNA-seq, as well as metagenomics.
View Article and Find Full Text PDFOrthop Surg
January 2025
Department of Orthopedic Surgery, Peking Union Medical College Hospital, Beijing, China.
Osteoarthritis (OA) is a prevalent degenerative disorder that severely impacts quality of life due to pain and disability. Although the pathophysiology of OA remains incompletely understood, recent research highlights the role of synovial inflammation in OA onset and progression, driven primarily by inflammatory infiltrates, especially macrophages, in the synovium. These macrophages respond to the local microenvironment, polarizing into either pro-inflammatory (M1) or anti-inflammatory (M2) subtypes.
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