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Bone & Joint Research
Vol. 12, Issue 9 | Pages 522 - 535
4 Sep 2023
Zhang G Li L Luo Z Zhang C Wang Y Kang X

Aims

This study aimed, through bioinformatics analysis and in vitro experiment validation, to identify the key extracellular proteins of intervertebral disc degeneration (IDD).

Methods

The gene expression profile of GSE23130 was downloaded from the Gene Expression Omnibus (GEO) database. Extracellular protein-differentially expressed genes (EP-DEGs) were screened by protein annotation databases, and we used Gene Ontology (GO) and the Kyoto Encyclopedia of Genes and Genomes (KEGG) to analyze the functions and pathways of EP-DEGs. STRING and Cytoscape were used to construct protein-protein interaction (PPI) networks and identify hub EP-DEGs. NetworkAnalyst was used to analyze transcription factors (TFs) and microRNAs (miRNAs) that regulate hub EP-DEGs. A search of the Drug Signatures Database (DSigDB) for hub EP-DEGs revealed multiple drug molecules and drug-target interactions.


Aims

This study aimed, through bioinformatics analysis, to identify the potential diagnostic markers of osteoarthritis, and analyze the role of immune infiltration in synovial tissue.

Methods

The gene expression profiles were downloaded from the Gene Expression Omnibus (GEO) database. The differentially expressed genes (DEGs) were identified by R software. Functional enrichment analyses were performed and protein-protein interaction networks (PPI) were constructed. Then the hub genes were screened. Biomarkers with high value for the diagnosis of early osteoarthritis (OA) were validated by GEO datasets. Finally, the CIBERSORT algorithm was used to evaluate the immune infiltration between early-stage OA and end-stage OA, and the correlation between the diagnostic marker and infiltrating immune cells was analyzed.


Orthopaedic Proceedings
Vol. 105-B, Issue SUPP_7 | Pages 114 - 114
4 Apr 2023
Liu D Gao J Zheng M Liao P Li H Zhang C
Full Access

Though dentin matrix protein 1 (Dmp1) is known to play critical role in mediating bone mineralization, it has also been validated to be expressed in brain and helps maintain blood brain barrier (BBB). Our study aims to clarify the expression pattern of Dmp1 in mouse brain and explore whether intercellular mitochondrial transfer occurs between Dmp1 positive astrocytes (DPAs) and endothelial cells, and thus acting as a mechanism in maintaining BBB during aging. Single cell RNA sequencing (scRNAseq) of 1 month, 6 month, and 20 month old mice brain (n=1, respectively) was employed to identify Dmp1 positive cell types. Dmp1. Cre. -mGmT and Dmp1. Cre. -COX8a fluorescent mice were generated to visualize DPAs and investigate their mitochondrial activities. A 3D noncontact coculture system and mitochondrial transplantation were applied to study the role of mitochondrial transfer between astrocytes and bEnd.3 endothelial cells. Dmp1. Cre. -Mfn2. f/f. mice were generated by depleting the ER-mitochondria tethering protein Mfn2 in DPAs. Dmp1 was mainly expressed in astrocytes at different ages. GO analysis revealed that cell projection and adhesion of DPAs were upregulated. Confocal imaging on Dmp1. Cre. -mGmT mice indicated that DPAs are a cluster of astrocytes that closely adhere to blood vessels (n=3). Bioinformatics analysis revealed that mitochondrial activity of DPAs were compromised during aging. Enriched scRNAseq of fluorescent cells from Dmp1. Cre. -COX8a mice (n=2) and immunofluorescent imaging (n=3) validated the acquisition of extrinsic mitochondria in endothelial cells. 3D coculture of astrocytes and bEnd.3 and direct mitochondrial transplantation revealed the rescue effect of mitochondrial transfer on damaged bEnd.3. BBB was impaired after depleting Mfn2 in DPAs, expressing a similar phenotype with aging brain. Astrocytes that express Dmp1 play a significant role in maintaining BBB via transferring mitochondria to vascular endothelial cells. Compromised mitochondrial transfer between DPAs and endothelial cells might be the potential mechanism of impaired BBB during aging


Bone & Joint Research
Vol. 11, Issue 12 | Pages 843 - 853
1 Dec 2022
Cai Y Huang C Chen X Chen Y Huang Z Zhang C Zhang W Fang X

Aims

This study aimed to explore the role of small colony variants (SCVs) of Staphylococcus aureus in intraosseous invasion and colonization in patients with periprosthetic joint infection (PJI).

Methods

A PJI diagnosis was made according to the MusculoSkeletal Infection Society (MSIS) for PJI. Bone and tissue samples were collected intraoperatively and the intracellular invasion and intraosseous colonization were detected. Transcriptomics of PJI samples were analyzed and verified by polymerase chain reaction (PCR).


Bone & Joint Research
Vol. 12, Issue 4 | Pages 259 - 273
6 Apr 2023
Lu R Wang Y Qu Y Wang S Peng C You H Zhu W Chen A

Aims

Osteoarthritis (OA) is a prevalent joint disorder with inflammatory response and cartilage deterioration as its main features. Dihydrocaffeic acid (DHCA), a bioactive component extracted from natural plant (gynura bicolor), has demonstrated anti-inflammatory properties in various diseases. We aimed to explore the chondroprotective effect of DHCA on OA and its potential mechanism.

Methods

In vitro, interleukin-1 beta (IL-1β) was used to establish the mice OA chondrocytes. Cell counting kit-8 evaluated chondrocyte viability. Western blotting analyzed the expression levels of collagen II, aggrecan, SOX9, inducible nitric oxide synthase (iNOS), IL-6, matrix metalloproteinases (MMPs: MMP1, MMP3, and MMP13), and signalling molecules associated with nuclear factor-kappa B (NF-κB) and mitogen-activated protein kinase (MAPK) pathways. Immunofluorescence analysis assessed the expression of aggrecan, collagen II, MMP13, and p-P65. In vivo, a destabilized medial meniscus (DMM) surgery was used to induce mice OA knee joints. After injection of DHCA or a vehicle into the injured joints, histological staining gauged the severity of cartilage damage.


Bone & Joint Research
Vol. 13, Issue 9 | Pages 474 - 484
10 Sep 2024
Liu Y Li X Jiang L Ma J

Aims

Rotator cuff tear (RCT) is the leading cause of shoulder pain, primarily associated with age-related tendon degeneration. This study aimed to elucidate the potential differential gene expressions in tendons across different age groups, and to investigate their roles in tendon degeneration.

Methods

Linear regression and differential expression (DE) analyses were performed on two transcriptome profiling datasets of torn supraspinatus tendons to identify age-related genes. Subsequent functional analyses were conducted on these candidate genes to explore their potential roles in tendon ageing. Additionally, a secondary DE analysis was performed on candidate genes by comparing their expressions between lesioned and normal tendons to explore their correlations with RCTs.


Bone & Joint Research
Vol. 11, Issue 4 | Pages 214 - 225
20 Apr 2022
Hao X Zhang J Shang X Sun K Zhou J Liu J Chi R Xu T

Aims

Post-traumatic osteoarthritis (PTOA) is a subset of osteoarthritis (OA). The gut microbiome is shown to be involved in OA. However, the effect of exercise on gut microbiome in PTOA remains elusive.

Methods

A total of 18 eight-week Sprague-Dawley rats were assigned into three groups: Sham/sedentary (Sham/Sed), PTOA/sedentary (PTOA/Sed), and PTOA/treadmill-walking (PTOA/TW). PTOA model was induced by transection of the anterior cruciate ligament (ACLT) and the destabilization of the medial meniscus (DMM). Treadmill-walking (15 m/min, 30 min/d, five days/week for eight weeks) was employed in the PTOA/TW group. The response of cartilage, subchondral bone, serology, and gut microbiome and their correlations were assessed.


Bone & Joint Research
Vol. 10, Issue 8 | Pages 548 - 557
25 Aug 2021
Tao Z Zhou Y Zeng B Yang X Su M

Aims

MicroRNA-183 (miR-183) is known to play important roles in osteoarthritis (OA) pain. The aims of this study were to explore the specific functions of miR-183 in OA pain and to investigate the underlying mechanisms.

Methods

Clinical samples were collected from patients with OA, and a mouse model of OA pain was constructed by surgically induced destabilization of the medial meniscus (DMM). Reverse transcription quantitative polymerase chain reaction was employed to measure the expression of miR-183, transforming growth factor α (TGFα), C-C motif chemokine ligand 2 (CCL2), proinflammatory cytokines (interleukin (IL)-6, IL-1β, and tumour necrosis factor-α (TNF-α)), and pain-related factors (transient receptor potential vanilloid subtype-1 (TRPV1), voltage-gated sodium 1.3, 1.7, and 1.8 (Nav1.3, Nav1.7, and Nav1.8)). Expression of miR-183 in the dorsal root ganglia (DRG) of mice was evaluated by in situ hybridization. TGFα, CCL2, and C-C chemokine receptor type 2 (CCR2) levels were examined by immunoblot analysis and interaction between miR-183 and TGFα, determined by luciferase reporter assay. The extent of pain in mice was measured using a behavioural assay, and OA severity assessed by Safranin O and Fast Green staining. Immunofluorescent staining was conducted to examine the infiltration of macrophages in mouse DRG.


Bone & Joint Research
Vol. 7, Issue 4 | Pages 298 - 307
1 Apr 2018
Zhang X Bu Y Zhu B Zhao Q Lv Z Li B Liu J

Objectives

The aim of this study was to identify key pathological genes in osteoarthritis (OA).

Methods

We searched and downloaded mRNA expression data from the Gene Expression Omnibus database to identify differentially expressed genes (DEGs) of joint synovial tissues from OA and normal individuals. Gene Ontology (GO) and Kyoto Encyclopaedia of Genes and Genomes (KEGG) pathway analyses were used to assess the function of identified DEGs. The protein-protein interaction (PPI) network and transcriptional factors (TFs) regulatory network were used to further explore the function of identified DEGs. The quantitative real-time polymerase chain reaction (qRT-PCR) was applied to validate the result of bioinformatics analysis. Electronic validation was performed to verify the expression of selected DEGs. The diagnosis value of identified DEGs was accessed by receiver operating characteristic (ROC) analysis.


Bone & Joint Research
Vol. 6, Issue 12 | Pages 640 - 648
1 Dec 2017
Xia B Li Y Zhou J Tian B Feng L

Objectives

Osteoporosis is a chronic disease. The aim of this study was to identify key genes in osteoporosis.

Methods

Microarray data sets GSE56815 and GSE56814, comprising 67 osteoporosis blood samples and 62 control blood samples, were obtained from the Gene Expression Omnibus database. Differentially expressed genes (DEGs) were identified in osteoporosis using Limma package (3.2.1) and Meta-MA packages. Gene Ontology and Kyoto Encyclopedia of Genes and Genomes enrichment analyses were performed to identify biological functions. Furthermore, the transcriptional regulatory network was established between the top 20 DEGs and transcriptional factors using the UCSC ENCODE Genome Browser. Receiver operating characteristic (ROC) analysis was applied to investigate the diagnostic value of several DEGs.