Application of integrated omics in aseptic loosening of prostheses after hip replacement

Liu,Yun-Ke; Dong,Yong-Hui; Liang,Xia-Ming; Qiang,Shuo; Li,Meng-En; Sun,Zhuang; Zhao,Xin; Yan,Zhi-Hua; Zheng,Jia

doi:10.3892/mmr.2025.13430

Application of integrated omics in aseptic loosening of prostheses after hip replacement

Authors:
- Yun-Ke Liu
- Yong-Hui Dong
- Xia-Ming Liang
- Shuo Qiang
- Meng-En Li
- Zhuang Sun
- Xin Zhao
- Zhi-Hua Yan
- Jia Zheng
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Affiliations: Department of Orthopedics, People's Hospital of Zhengzhou University, Zhengzhou, Henan 450003, P.R. China
Published online on: January 3, 2025 https://doi.org/10.3892/mmr.2025.13430
Article Number: 65
Copyright: © Liu et al. This is an open access article distributed under the terms of Creative Commons Attribution License.

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Abstract

Aseptic loosening (AL) of artificial hip joints is the most common complication following hip replacement surgery. A total of eight patients diagnosed with AL following total hip arthroplasty (THA) undergoing total hip replacement and eight control patients diagnosed with avascular necrosis of femoral head (ANFH) or femoral neck fracture undergoing THA were enrolled. The samples of the AL group were from synovial tissue surrounding the lining/head/neck of the prosthesis, and the samples of the control group were from the synovium in the joint cavity. The present study utilized second‑generation high‑throughput sequencing and mass spectrometry to detect differentially expressed genes, proteins and metabolites in the samples, as well as Gene Ontology and Kyoto Encyclopedia of Genes and Genomes analysis. Key genes cytokine receptor‑like factor‑1 (CRLF1) and glutathione‑S transferase µ1 (GSTM1) expression levels were verified by reverse transcription‑quantitative PCR and western blotting. The integrated transcriptomics, proteomics and untargeted metabolomics analyses revealed characteristic metabolite changes (biosynthesis of guanine, L‑glycine and adenosine) and decreased CRLF1 and GSTM1 in AL, which were primarily associated with amino acid metabolism and lipid metabolism. In summary, the present study may uncover the underlying mechanisms of AL pathology and provide stable and accurate biomarkers for early warning and diagnosis.

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