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Macrophage Changes and High-Throughput Sequencing in Aging Mouse Intervertebral Disks
IF 3.4 3区 医学 Q1 ORTHOPEDICS Pub Date : 2025-04-08 DOI: 10.1002/jsp2.70061
Wei Wang, Cheng Jiang, Jiong-Hui Chen, Yong-Long Chen, Zhen-Wu Zhang, Zhi-Chao Yang, Jun Li, Xiao-Chuan Li

Background

Intervertebral disk (IVD) degeneration is associated with lower back pain and aging; however, the mechanisms underlying age-related changes and the changes in macrophage polarization in aging intervertebral disks require further elucidation. The aim of this study was to evaluate changes in macrophages, the differential expression of senescence genes, and their relationship with hub genes in IVDs during aging in mice.

Methods

Twenty-eight male wild C57 mice aged 4 weeks were divided into two groups. Four mice per group were selected for high-throughput sequencing and 10 for tail IVD immunohistochemical analysis. Adult and aged mouse IVD specimens were stained with hematoxylin–eosin, Fast Green, and Alcian Blue to determine collagen (Col) 1, Col2, proteoglycan, P16, P21, P53, CD11b, CD86, CD206, IL-1, TGF-β, and IL-4 expression. High-throughput sequencing was performed on adult and aged mouse IVD tissues.

Results

Aged mouse IVDs showed reduced height and marked degeneration, with decreased Col2 and proteoglycan expression and increased Col1 expression. The expression of senescence markers, senescence-associated IL-1, TGF-β, and IL-4, and macrophage-related markers, CD11b, CD86, and CD206, increased markedly with age. High-throughput sequencing revealed 1975 differentially expressed genes in adult and aged mice, with 797 genes showing upregulated expression (top five: Kcna7, Mmp9, Panx3, Myl10, and Bglap) and 1178 showing downregulated expression (top five: Srd5a2, Slc38a5, Gm47283, Npy, and Pcdh8). Gene Ontology and pathway enrichment analyses highlighted aging-related cellular components, biological processes, and metabolic pathways. The identified hub genes included Cox5a, Ndufs6, and Ndufb9.

Conclusions

Disk senescence and reduced height in aged mice are linked to upregulated expression of senescence-associated phenotypes and macrophage polarization markers. These findings suggest that macrophages and differential gene expression play key roles in age-related IVD degeneration, indicating that they can be used as potential targets for therapeutic intervention.

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引用次数: 0
Evidence for a Causal Association Between Human Cytomegalovirus Infection and Chronic Back Pain: A One-Sample Mendelian Randomization Study
IF 3.4 3区 医学 Q1 ORTHOPEDICS Pub Date : 2025-04-08 DOI: 10.1002/jsp2.70063
Maryam Kazemi Naeini, Maxim B. Freidin, Isabelle Granville Smith, Stephen Ward, Frances M. K. Williams
<div> <section> <h3> Background</h3> <p>Chronic back pain (CBP) is a major cause of disability globally. While its etiology is multifactorial, specific contributing genetic and environmental factors remain to be discovered. Paraspinal muscle fat has been shown in human and preclinical studies to be related to CBP. One potential risk factor is infection by cytomegalovirus (CMV) because CMV is trophic for fat. CMV may reside in the paraspinal muscle adipose tissue. We set out to test the hypothesis that previous CMV infection is linked to CPB using a one-sample Mendelian randomization (MR).</p> </section> <section> <h3> Method</h3> <p>The sample comprised 5140 UK Biobank participants with information about CMV serology and CBP status. A one-sample MR based on independent genetic variants predicting CMV positivity was conducted in Northern European participants. To validate the association further, the MR study was repeated using a CMV polygenic risk score (PRS). As a negative control for confounding and spurious causal inference, we used Epstein–Barr virus (EBV) serology, because EBV is another common viral infection but is not trophic for adipose tissue.</p> </section> <section> <h3> Results</h3> <p>A genome-wide association study for CMV seropositivity revealed 86 independent SNPs having p-value < <span></span><math> <semantics> <mrow> <mn>2</mn> <mo>×</mo> <msup> <mn>10</mn> <mrow> <mo>−</mo> <mn>4</mn> </mrow> </msup> </mrow> <annotation>$$ 2times {10}^{-4} $$</annotation> </semantics></math> that have been used to define genetically-predicted categories of CMV infection risk. The CMV predicted categories were found statistically significantly associated with CBP (OR = 1.150; 95% CI: 1.005–1.317, <i>p</i>-value = 0.043). Stronger significant results were obtained using the PRS for CMV seropositivity (OR = 1.290; 95% CI: 1.133–1.469, <i>p</i>-value = 12E-4). No such association was seen between EBV and CBP.</p> </section> <section> <h3> Conclusion</h3> <p>Our results provide evidence for a causal relationship between CMV infection and CBP. Further investigation is warranted to get insight into the mechanism by which CMV might contribute to the pathogenesis of CBP.</p>
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引用次数: 0
Molecular Subtypes and Immune Microenvironment Characterization of the Annulus Fibrosus in Intervertebral Disc Degeneration: Insights From Translation Factor-Related Gene Analysis
IF 3.4 3区 医学 Q1 ORTHOPEDICS Pub Date : 2025-04-07 DOI: 10.1002/jsp2.70064
Sikuan Zheng, Xiaokun Zhao, Hui Wu, Xuhui Cuan, Xigao Cheng, Dingwen He

Objective

This study aims to examine the role of translation factors (TF) in intervertebral disc degeneration (IVDD) and to evaluate their clinical relevance through unsupervised clustering methods.

Methods

Gene expression data were retrieved from the GEO database, and the expression levels of translation factor-related genes (TFGs) were extracted for analysis.

Results

Two distinct molecular clusters were identified based on the differential expression of nine significantly altered TFGs. Immune infiltration was notably higher in Cluster C2 compared to Cluster C1. Subsequently, two gene clusters were identified based on the differentially expressed genes between the clusters. A Sankey diagram illustrated a high degree of consistency between the molecular clusters and the gene clusters. Additionally, four machine learning models were developed and evaluated, with the SVM model being utilized to construct a nomogram for predicting the incidence of IVDD. Validation using external datasets and clinical samples confirmed the low expression of EEF2K, which was further analyzed in a pan-cancer context.

Conclusion

The identification and comprehensive assessment of the two molecular clusters offer significant insights for the classification and treatment of individuals with IVDD.

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引用次数: 0
Analysis of Nicotine Toxicity and Mechanisms of Senescence in Nucleus Pulposus Cells Using Network Toxicology and Molecular Docking Technique
IF 3.4 3区 医学 Q1 ORTHOPEDICS Pub Date : 2025-03-31 DOI: 10.1002/jsp2.70055
Chen Jiang, Chao Song, Chaoqi Chen, Baoxin Shen, Lei Yang, Chi Zhang, Fei Liu, Xiaofei Wu, Feng Chen

Aim

Through the use of network toxicology, the research sought to determine whether cellular senescence and associated molecular mechanisms in nicotine-induced intervertebral disc degeneration (IVDD) were potentially harmful.

Methods

The primary chemical structure and 105 targets of action of nicotine were determined by using the Swiss Target Prediction, Cell Age, and PubChem databases. 855 IVDD senescence genes were found using the GEO and Cell Age datasets.

Results

After additional screening and Cytoscape development, 9 key targets were identified. Additionally, these targets' co-expression pattern analysis and protein interactions were confirmed to be identical. The core targets of nicotine-induced IVDD cellular senescence were found to be primarily enriched in the positive regulation of cell proliferation, telomere shortening, histone acetylation, and cellular senescence-related processes, according to gene ontology (GO) and Kyoto Encyclopedia of Genes and Genomes (KEGG). The KEGG signaling pathway also made it clear that the Apelin signaling route, nicotinate and nicotinamide metabolism, cell cycle, and apoptosis are all strongly linked to nicotine-induced IVDD cellular senescence. We chose four genes associated with the cellular senescence pathway—HDAC1, HDAC4, and NAMPT, MYLK—for molecular docking with the toxic substance nicotine. The findings validated nicotine's strong affinity for the primary targets.

Conclusion

All things considered, the current research indicates that nicotine may contribute to cellular senescence in IVDD via controlling the histone deacetylation process, telomere shortening, the Apelin signaling pathway, and pathways linked to the metabolism of nicotinate and nicotinamide. The theoretical foundation for investigating the molecular mechanisms of nicotine-induced senescence in IVDD is established.

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引用次数: 0
Phosphatidylcholine Ameliorates Palmitic Acid-Induced Lipotoxicity by Facilitating Endoplasmic Reticulum and Mitochondria Contacts in Intervertebral Disc Degeneration
IF 3.4 3区 医学 Q1 ORTHOPEDICS Pub Date : 2025-03-31 DOI: 10.1002/jsp2.70062
Shuangshuang Tu, Yijun Dong, Chuanfu Li, Mingxin Jiang, Liqun Duan, Wenzhi Zhang, Xi Chen

Background

Intervertebral disc degeneration (IDD) is a prevalent musculoskeletal disorder with substantial socioeconomic impacts. Despite its high prevalence, the pathogenesis of IDD remains unclear, and effective pharmacological interventions are lacking. This study aimed to investigate metabolic alterations in IDD and explore potential therapeutic targets by analyzing lipotoxicity-related mechanisms in nucleus pulposus (NP) cells.

Methods

Metabolomics and magnetic resonance spectroscopy were utilized to profile metabolic changes in NP tissues from advanced-stage IDD. Transcriptomics and metabolomics integration were performed to identify key regulatory pathways. In vitro experiments using human NP cells exposed to palmitic acid were conducted to evaluate endoplasmic reticulum (ER) stress, mitochondrial dysfunction, lipid droplet accumulation, and senescence. Phosphatidylcholine supplementation was tested for its ability to mitigate lipotoxicity, with ER-mitochondria interactions and mitochondrial oxidation capacity assessed as mechanistic endpoints.

Results

Our findings revealed an abnormal lipotoxic condition in NP cells from advanced-stage IDD. Furthermore, we identified abnormal accumulation of triglycerides and palmitic acid in NP cells from IDD. The palmitic acid accumulation resulted in endoplasmic reticulum stress, mitochondrial damage, lipid droplet accumulation, and senescence of NP cells. By integrating transcriptomics and metabolomics analyses, we discovered that phosphatidylcholine plays a role in regulating palmitic acid-induced lipotoxicity. Notably, phosphatidylcholine level was found to be low in the endoplasmic reticulum and mitochondria of advanced-stage NP cells. Phosphatidylcholine treatment alleviated palmitic acid-induced lipid droplet accumulation and senescence of NP cells by modulating ER-mitochondria contacts and mitochondrial oxidation capacity.

Conclusion

Phosphatidylcholine emerges as a potential therapeutic agent to counteract lipotoxic stress by modulating organelle interactions and mitochondrial function. These findings advance our understanding of IDD pathogenesis and provide a novel metabolic target for therapeutic development.

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引用次数: 0
Transcriptome Data Combined With Mendelian Randomization Analysis Identifies Key Genes Associated With Mitochondria and Programmed Cell Death in Intervertebral Disc Degeneration
IF 3.4 3区 医学 Q1 ORTHOPEDICS Pub Date : 2025-03-24 DOI: 10.1002/jsp2.70057
Hongfei Nie, Xiao Hu, Jiaxiao Wang, Jia Wang, Xiaoqian Yu, Jun Li

Background

Intervertebral disc degeneration (IDD) is a major cause of cervical and lumbar diseases, significantly impacting patients' quality of life. Mitochondria and cell death have been implicated in IDD, but the key related genes remain unknown.

Methods

Differentially expressed genes (DEGs) between IDD and control samples were identified using GSE70362. Mitochondria-related genes (MRGs) and programmed cell death-related genes (PCDRGs) were intersected with DEGs to find DE-MRGs and DE-PCDRGs. Weighted gene co-expression network analysis (WGCNA) identified key module genes, and the overlap with DEGs revealed candidate genes. Mendelian randomization (MR) analysis was used to determine genes causally linked to IDD. Machine learning and expression validation further refined key genes, which were then used to build a nomogram to predict IDD risk. Additionally, gene set enrichment analysis (GSEA), immune infiltration, and single-cell analysis were performed.

Results

A total of 515 DEGs were intersected with 224 key module genes, yielding 31 candidate genes. Six genes—BCKDHB, BID, TNFAIP6, VRK1, CAB39L, and TMTC1—showed a causal relationship with IDD. BID, TNFAIP6, and TMTC1 were further identified as key genes through machine learning and validation. A nomogram was developed based on these genes. GSEA revealed BID and TMTC1 were enriched in N-glycan biosynthesis, TNFAIP6 and TMTC1 in aminoacyl tRNA biosynthesis, and BID and TMTC1 in ribosomal pathways. Activated dendritic cells, CD56dim natural killer cells, monocytes, and other immune cells were elevated in IDD, with TNFAIP6 strongly correlating with activated dendritic cells. Key genes were expressed at higher levels in degraded samples.

Conclusion

BID, TMTC1, and TNFAIP6 were identified as key genes linked to mitochondria and cell death in IDD, offering new insights for diagnosis and treatment.

{"title":"Transcriptome Data Combined With Mendelian Randomization Analysis Identifies Key Genes Associated With Mitochondria and Programmed Cell Death in Intervertebral Disc Degeneration","authors":"Hongfei Nie,&nbsp;Xiao Hu,&nbsp;Jiaxiao Wang,&nbsp;Jia Wang,&nbsp;Xiaoqian Yu,&nbsp;Jun Li","doi":"10.1002/jsp2.70057","DOIUrl":"https://doi.org/10.1002/jsp2.70057","url":null,"abstract":"<div>\u0000 \u0000 \u0000 <section>\u0000 \u0000 <h3> Background</h3>\u0000 \u0000 <p>Intervertebral disc degeneration (IDD) is a major cause of cervical and lumbar diseases, significantly impacting patients' quality of life. Mitochondria and cell death have been implicated in IDD, but the key related genes remain unknown.</p>\u0000 </section>\u0000 \u0000 <section>\u0000 \u0000 <h3> Methods</h3>\u0000 \u0000 <p>Differentially expressed genes (DEGs) between IDD and control samples were identified using GSE70362. Mitochondria-related genes (MRGs) and programmed cell death-related genes (PCDRGs) were intersected with DEGs to find DE-MRGs and DE-PCDRGs. Weighted gene co-expression network analysis (WGCNA) identified key module genes, and the overlap with DEGs revealed candidate genes. Mendelian randomization (MR) analysis was used to determine genes causally linked to IDD. Machine learning and expression validation further refined key genes, which were then used to build a nomogram to predict IDD risk. Additionally, gene set enrichment analysis (GSEA), immune infiltration, and single-cell analysis were performed.</p>\u0000 </section>\u0000 \u0000 <section>\u0000 \u0000 <h3> Results</h3>\u0000 \u0000 <p>A total of 515 DEGs were intersected with 224 key module genes, yielding 31 candidate genes. Six genes—BCKDHB, BID, TNFAIP6, VRK1, CAB39L, and TMTC1—showed a causal relationship with IDD. BID, TNFAIP6, and TMTC1 were further identified as key genes through machine learning and validation. A nomogram was developed based on these genes. GSEA revealed BID and TMTC1 were enriched in N-glycan biosynthesis, TNFAIP6 and TMTC1 in aminoacyl tRNA biosynthesis, and BID and TMTC1 in ribosomal pathways. Activated dendritic cells, CD56dim natural killer cells, monocytes, and other immune cells were elevated in IDD, with TNFAIP6 strongly correlating with activated dendritic cells. Key genes were expressed at higher levels in degraded samples.</p>\u0000 </section>\u0000 \u0000 <section>\u0000 \u0000 <h3> Conclusion</h3>\u0000 \u0000 <p>BID, TMTC1, and TNFAIP6 were identified as key genes linked to mitochondria and cell death in IDD, offering new insights for diagnosis and treatment.</p>\u0000 </section>\u0000 </div>","PeriodicalId":14876,"journal":{"name":"JOR Spine","volume":"8 1","pages":""},"PeriodicalIF":3.4,"publicationDate":"2025-03-24","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://onlinelibrary.wiley.com/doi/epdf/10.1002/jsp2.70057","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"143689450","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":3,"RegionCategory":"医学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"OA","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
引用次数: 0
The Significance of MAPK Signaling Pathway in the Diagnosis and Subtype Classification of Intervertebral Disc Degeneration
IF 3.4 3区 医学 Q1 ORTHOPEDICS Pub Date : 2025-03-24 DOI: 10.1002/jsp2.70060
Yong Liu, Xueyan Chen, Jingwen Chen, Chao Song, Zhangchao Wei, Zongchao Liu, Fei Liu

Background

Intervertebral disc degeneration (IDD) is a human aging disease related mainly to inflammation, cellular senescence, RNA/DNA methylation, and ECM. The mitogen-activated protein kinase (MAPK) signaling pathway is engaged in multiple biological functions by phosphorylating specific serine and threonine residues on target proteins through phosphorylation cascade effects, but the role and specific mechanisms of the MAPK signaling pathway in IDD are still unclear.

Methods

We identified 20 MAPK-related differential genes by differential analysis of the GSE124272 and GSE150408 datasets from the GEO database. To explore the biological functions of these differential genes in humans, we performed GO and KEGG analyses. Additionally, we applied PPI networks, LASSO analysis, the RF algorithm, and the SVM-RFE algorithm to identify core MAPK-related genes. Finally, we conducted further validation using clinical samples.

Results

We ultimately identified and validated four pivotal MAPK-related genes, namely, KRAS, JUN, RAP1B, and TNF, using clinical samples, and constructed the ROC curves to evaluate the predictive accuracy of the hub genes. A nomogram model was subsequently developed based on these four hub MAPK genes to predict the prevalence of IDD. Based on these four hub genes, we classified IDD patients into two MAP clusters by applying the consensus clustering method and identified 1916 DEGs by analyzing the differences between the two clusters. Further analysis using the same approach allowed us to identify two gene clusters based on these DEGs. We used a PCA algorithm to determine the MAPK score for each sample and discovered that MAPK cluster A and gene cluster A had higher scores, suggesting greater sensitivity to MAPK signaling pathway-associated agents in the subtype. We displayed the differing expression levels of four hub MAPK-related genes across the two clusters and their relationship with immune cell infiltration to highlight the distinctions between clusters A and B.

Conclusion

In summary, four hub MAPK signaling pathway-related genes, KRAS, JUN, RAP1B, and TNF, could be applied to the diagnosis and subtype classification of IDD and benefit the prevention and treatment of IDD.

{"title":"The Significance of MAPK Signaling Pathway in the Diagnosis and Subtype Classification of Intervertebral Disc Degeneration","authors":"Yong Liu,&nbsp;Xueyan Chen,&nbsp;Jingwen Chen,&nbsp;Chao Song,&nbsp;Zhangchao Wei,&nbsp;Zongchao Liu,&nbsp;Fei Liu","doi":"10.1002/jsp2.70060","DOIUrl":"https://doi.org/10.1002/jsp2.70060","url":null,"abstract":"<div>\u0000 \u0000 \u0000 <section>\u0000 \u0000 <h3> Background</h3>\u0000 \u0000 <p>Intervertebral disc degeneration (IDD) is a human aging disease related mainly to inflammation, cellular senescence, RNA/DNA methylation, and ECM. The mitogen-activated protein kinase (MAPK) signaling pathway is engaged in multiple biological functions by phosphorylating specific serine and threonine residues on target proteins through phosphorylation cascade effects, but the role and specific mechanisms of the MAPK signaling pathway in IDD are still unclear.</p>\u0000 </section>\u0000 \u0000 <section>\u0000 \u0000 <h3> Methods</h3>\u0000 \u0000 <p>We identified 20 MAPK-related differential genes by differential analysis of the GSE124272 and GSE150408 datasets from the GEO database. To explore the biological functions of these differential genes in humans, we performed GO and KEGG analyses. Additionally, we applied PPI networks, LASSO analysis, the RF algorithm, and the SVM-RFE algorithm to identify core MAPK-related genes. Finally, we conducted further validation using clinical samples.</p>\u0000 </section>\u0000 \u0000 <section>\u0000 \u0000 <h3> Results</h3>\u0000 \u0000 <p>We ultimately identified and validated four pivotal MAPK-related genes, namely, KRAS, JUN, RAP1B, and TNF, using clinical samples, and constructed the ROC curves to evaluate the predictive accuracy of the hub genes. A nomogram model was subsequently developed based on these four hub MAPK genes to predict the prevalence of IDD. Based on these four hub genes, we classified IDD patients into two MAP clusters by applying the consensus clustering method and identified 1916 DEGs by analyzing the differences between the two clusters. Further analysis using the same approach allowed us to identify two gene clusters based on these DEGs. We used a PCA algorithm to determine the MAPK score for each sample and discovered that MAPK cluster A and gene cluster A had higher scores, suggesting greater sensitivity to MAPK signaling pathway-associated agents in the subtype. We displayed the differing expression levels of four hub MAPK-related genes across the two clusters and their relationship with immune cell infiltration to highlight the distinctions between clusters A and B.</p>\u0000 </section>\u0000 \u0000 <section>\u0000 \u0000 <h3> Conclusion</h3>\u0000 \u0000 <p>In summary, four hub MAPK signaling pathway-related genes, KRAS, JUN, RAP1B, and TNF, could be applied to the diagnosis and subtype classification of IDD and benefit the prevention and treatment of IDD.</p>\u0000 </section>\u0000 </div>","PeriodicalId":14876,"journal":{"name":"JOR Spine","volume":"8 1","pages":""},"PeriodicalIF":3.4,"publicationDate":"2025-03-24","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://onlinelibrary.wiley.com/doi/epdf/10.1002/jsp2.70060","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"143689451","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":3,"RegionCategory":"医学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"OA","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
引用次数: 0
Application and Validation of Semiautomatic Quantification of Immunohistochemically Stained Sections for Low Cellular Tissue Such as Intervertebral Disc Using QuPath
IF 3.4 3区 医学 Q1 ORTHOPEDICS Pub Date : 2025-03-06 DOI: 10.1002/jsp2.70054
Andrea Nüesch, Maria Paola Ferri, Christine L. Le Maitre

Background

Immunohistochemistry (IHC) is a widely used method for localizing and semi-quantifying proteins in tissue samples. Traditional IHC analysis often relies on manually counting 200 cells within a designated area, a time-intensive and subjective process that can compromise reproducibility and accuracy. Advances in digital scanning and bioimage analysis tools, such as the open-source software QuPath, enable semi-automated cell counting, reducing subjectivity and increasing efficiency.

Aims

This project developed a QuPath-based script and detailed guide for semi-automatic cell counting, specifically for tissues with low cellularity, such as intervertebral discs and cartilage.

Methods and Results

The methodology was validated by demonstrating no significant differences between the manual counting and the semi-automatic quantification (p = 0.783, p = 0.386) while showing a strong correlation between methods for both collagen type II staining (r = 0.9602, p < 0.0001) and N-cadherin staining (r = 0.9044, p = 0.0001). Furthermore, a strong correlation (intraclass correlation coefficient (ICC) single raters = 0.853) between 3 individual raters with varying academic ranks and experiences in IHC analysis was shown using the semi-automatic quantification method.

Discusssion

The approach ensures high reproducibility and accuracy, with reduced variability between raters and laboratories. This semi-automated method is particularly suited for tissues with a high extracellular matrix to cell ratio and low cellularity. By minimizing subjectivity and evaluation time, it provides a robust alternative to manual counting, making it ideal for applications where reproducibility and standardization are critical. While the methodology was effective in low-cellularity tissues, its application in other tissue types warrants further exploration.

Conclusions

These findings underscore the potential of QuPath to streamline IHC analysis and enhance inter-laboratory comparability.

{"title":"Application and Validation of Semiautomatic Quantification of Immunohistochemically Stained Sections for Low Cellular Tissue Such as Intervertebral Disc Using QuPath","authors":"Andrea Nüesch,&nbsp;Maria Paola Ferri,&nbsp;Christine L. Le Maitre","doi":"10.1002/jsp2.70054","DOIUrl":"https://doi.org/10.1002/jsp2.70054","url":null,"abstract":"<div>\u0000 \u0000 \u0000 <section>\u0000 \u0000 <h3> Background</h3>\u0000 \u0000 <p>Immunohistochemistry (IHC) is a widely used method for localizing and semi-quantifying proteins in tissue samples. Traditional IHC analysis often relies on manually counting 200 cells within a designated area, a time-intensive and subjective process that can compromise reproducibility and accuracy. Advances in digital scanning and bioimage analysis tools, such as the open-source software QuPath, enable semi-automated cell counting, reducing subjectivity and increasing efficiency.</p>\u0000 </section>\u0000 \u0000 <section>\u0000 \u0000 <h3> Aims</h3>\u0000 \u0000 <p>This project developed a QuPath-based script and detailed guide for semi-automatic cell counting, specifically for tissues with low cellularity, such as intervertebral discs and cartilage.</p>\u0000 </section>\u0000 \u0000 <section>\u0000 \u0000 <h3> Methods and Results</h3>\u0000 \u0000 <p>The methodology was validated by demonstrating no significant differences between the manual counting and the semi-automatic quantification (<i>p</i> = 0.783, <i>p</i> = 0.386) while showing a strong correlation between methods for both collagen type II staining (<i>r</i> = 0.9602, <i>p</i> &lt; 0.0001) and N-cadherin staining (<i>r</i> = 0.9044, <i>p</i> = 0.0001). Furthermore, a strong correlation (intraclass correlation coefficient (ICC) single raters = 0.853) between 3 individual raters with varying academic ranks and experiences in IHC analysis was shown using the semi-automatic quantification method.</p>\u0000 </section>\u0000 \u0000 <section>\u0000 \u0000 <h3> Discusssion</h3>\u0000 \u0000 <p>The approach ensures high reproducibility and accuracy, with reduced variability between raters and laboratories. This semi-automated method is particularly suited for tissues with a high extracellular matrix to cell ratio and low cellularity. By minimizing subjectivity and evaluation time, it provides a robust alternative to manual counting, making it ideal for applications where reproducibility and standardization are critical. While the methodology was effective in low-cellularity tissues, its application in other tissue types warrants further exploration.</p>\u0000 </section>\u0000 \u0000 <section>\u0000 \u0000 <h3> Conclusions</h3>\u0000 \u0000 <p>These findings underscore the potential of QuPath to streamline IHC analysis and enhance inter-laboratory comparability.</p>\u0000 </section>\u0000 </div>","PeriodicalId":14876,"journal":{"name":"JOR Spine","volume":"8 1","pages":""},"PeriodicalIF":3.4,"publicationDate":"2025-03-06","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://onlinelibrary.wiley.com/doi/epdf/10.1002/jsp2.70054","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"143565143","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":3,"RegionCategory":"医学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"OA","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
引用次数: 0
The Significance of Cellular Senescence Hub Genes in the Diagnosis and Subtype Classification of a Comprehensive Database of Gene Expression in Intervertebral Disc Degeneration
IF 3.4 3区 医学 Q1 ORTHOPEDICS Pub Date : 2025-03-06 DOI: 10.1002/jsp2.70050
Fei Liu, Silong Gao, Ji Yin, Chao Song, Yongliang Mei, Zhaoqiang Wang, Zongchao Liu

Background

Intervertebral disc degeneration (IVDD) is a complex age-related physiological process, with cellular senescence (CS) being a primary contributing factor. However, the precise role of CS and its associated genes in IVDD remains unclear.

Methods

In this study, we performed differential expression analysis on the GSE124272 and GSE150408 datasets from the GEO database and identified 53 differentially expressed cellular senescence-related genes (CSRGs). We then conducted Gene Ontology (GO) and Kyoto Encyclopedia of Genes and Genomes (KEGG) pathway enrichment analyses to explore their functions and associated pathways. We identified hub genes by constructing a protein–protein interaction (PPI) network and further validated these genes using clinical samples. We further explored the functional and prognostic significance of these genes using support vector machine recursive feature elimination (SVM-RFE), random forest (RF), and least absolute shrinkage and selection operator (LASSO) algorithms. We visualized the correlation between the differential expression levels of the four core genes and immune cell infiltration using heat maps and histograms. Finally, we performed graphene oxide enrichment analysis on 297 differentially expressed genes (DEGs) to investigate their role in IVDD.

Results

We ultimately identified four hub cellular CSRGs DUSP3, MAPKAPK5, SP1, and VEGFA, and further validated their expression using various algorithms and clinical samples. Our results revealed that DUSP3 and SP1 were upregulated in IVDD, while MAPKAPK5 and VEGFA were downregulated. Immune cell infiltration analysis demonstrated that DUSP3 and SP1 were positively correlated with immune cell infiltration levels, whereas VEGFA and MAPKAPK5 were negatively correlated.

Conclusion

In summary, CSRGs play an important role in the pathogenesis of IVDD, and our study of the hub gene cluster may guide future therapeutic strategies for IVDD.

{"title":"The Significance of Cellular Senescence Hub Genes in the Diagnosis and Subtype Classification of a Comprehensive Database of Gene Expression in Intervertebral Disc Degeneration","authors":"Fei Liu,&nbsp;Silong Gao,&nbsp;Ji Yin,&nbsp;Chao Song,&nbsp;Yongliang Mei,&nbsp;Zhaoqiang Wang,&nbsp;Zongchao Liu","doi":"10.1002/jsp2.70050","DOIUrl":"https://doi.org/10.1002/jsp2.70050","url":null,"abstract":"<div>\u0000 \u0000 \u0000 <section>\u0000 \u0000 <h3> Background</h3>\u0000 \u0000 <p>Intervertebral disc degeneration (IVDD) is a complex age-related physiological process, with cellular senescence (CS) being a primary contributing factor. However, the precise role of CS and its associated genes in IVDD remains unclear.</p>\u0000 </section>\u0000 \u0000 <section>\u0000 \u0000 <h3> Methods</h3>\u0000 \u0000 <p>In this study, we performed differential expression analysis on the GSE124272 and GSE150408 datasets from the GEO database and identified 53 differentially expressed cellular senescence-related genes (CSRGs). We then conducted Gene Ontology (GO) and Kyoto Encyclopedia of Genes and Genomes (KEGG) pathway enrichment analyses to explore their functions and associated pathways. We identified hub genes by constructing a protein–protein interaction (PPI) network and further validated these genes using clinical samples. We further explored the functional and prognostic significance of these genes using support vector machine recursive feature elimination (SVM-RFE), random forest (RF), and least absolute shrinkage and selection operator (LASSO) algorithms. We visualized the correlation between the differential expression levels of the four core genes and immune cell infiltration using heat maps and histograms. Finally, we performed graphene oxide enrichment analysis on 297 differentially expressed genes (DEGs) to investigate their role in IVDD.</p>\u0000 </section>\u0000 \u0000 <section>\u0000 \u0000 <h3> Results</h3>\u0000 \u0000 <p>We ultimately identified four hub cellular CSRGs DUSP3, MAPKAPK5, SP1, and VEGFA, and further validated their expression using various algorithms and clinical samples. Our results revealed that DUSP3 and SP1 were upregulated in IVDD, while MAPKAPK5 and VEGFA were downregulated. Immune cell infiltration analysis demonstrated that DUSP3 and SP1 were positively correlated with immune cell infiltration levels, whereas VEGFA and MAPKAPK5 were negatively correlated.</p>\u0000 </section>\u0000 \u0000 <section>\u0000 \u0000 <h3> Conclusion</h3>\u0000 \u0000 <p>In summary, CSRGs play an important role in the pathogenesis of IVDD, and our study of the hub gene cluster may guide future therapeutic strategies for IVDD.</p>\u0000 </section>\u0000 </div>","PeriodicalId":14876,"journal":{"name":"JOR Spine","volume":"8 1","pages":""},"PeriodicalIF":3.4,"publicationDate":"2025-03-06","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://onlinelibrary.wiley.com/doi/epdf/10.1002/jsp2.70050","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"143565144","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":3,"RegionCategory":"医学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"OA","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
引用次数: 0
DeVa (Decay Variance): A Novel Score Calculated via Postprocessing the Changes in Signal Intensity of an Intervertebral Disc in a T2* Multi-Echo Magnetic Resonance Image Can Quantify Painful and Degenerate Lumbar Vertebral Discs
IF 3.4 3区 医学 Q1 ORTHOPEDICS Pub Date : 2025-03-06 DOI: 10.1002/jsp2.70056
Stone Sima, Alisha Sial, Suhani Sharma, Dheera Ananthakrishnan, Jeff Kuan, Ashish Diwan

Introduction

Low back pain (LBP), a global disability leader, is often linked to intervertebral disc (IVD) degeneration. Traditional diagnostics like T2-weighted MRI provide qualitative but imprecise evaluations. A novel post-processing MRI technique, Decay Variance (DeVa), has shown promise in differentiating degenerate from healthy discs in animal studies. DeVa quantifies IVD degeneration by analyzing variations in signal intensities within each voxel in a T2* 2D FLASH multi-echo MRI sequence. This study aimed to validate DeVa clinically and explore its correlation with pain severity.

Methods

A cross-sectional study included 77 chronic LBP patients and 8 controls, who underwent T2-weighted and T2* 2D FLASH MRI. DeVa scores (worst and sum of all discs) were recorded, alongside traditional assessments like disc bulge, stenosis, high-intensity zones, and Pfirrmann grade. Pain severity was measured with a numerical rating scale. Statistical analyses included Pearson correlation, t-tests, and Gardner-Altman plots to evaluate relationships between DeVa scores, degeneration, and pain.

Results

DeVa scores correlated strongly with Pfirrmann grade (r = 0.692, p < 0.001) and were significantly higher in discs with bulge, stenosis, or high-intensity zones (p < 0.001). Moderate correlations were observed between worst DeVa scores (r = 0.296, p < 0.01), total DeVa scores (r = 0.323, p < 0.005) and pain severity. Patients with chronic LBP without severe degeneration (Pfirrmann ≤ 3 with no stenosis observable on standard MRI) had significantly higher worst (1.38 ± 0.26 vs. 1.10 ± 0.29, p < 0.005) and total (5.39 ± 0.75 vs. 4.65 ± 0.61, p < 0.0.1) DeVa scores compared to controls.

Discussion

DeVa offers a quantitative, noninvasive approach to assessing IVD degeneration, showing strong correlations with disc health and pain. It demonstrates enhanced sensitivity over traditional MRI, enabling the identification of pain-generating discs and informing personalized treatment strategies for chronic LBP. Further validation in larger populations is needed.

{"title":"DeVa (Decay Variance): A Novel Score Calculated via Postprocessing the Changes in Signal Intensity of an Intervertebral Disc in a T2* Multi-Echo Magnetic Resonance Image Can Quantify Painful and Degenerate Lumbar Vertebral Discs","authors":"Stone Sima,&nbsp;Alisha Sial,&nbsp;Suhani Sharma,&nbsp;Dheera Ananthakrishnan,&nbsp;Jeff Kuan,&nbsp;Ashish Diwan","doi":"10.1002/jsp2.70056","DOIUrl":"https://doi.org/10.1002/jsp2.70056","url":null,"abstract":"<div>\u0000 \u0000 \u0000 <section>\u0000 \u0000 <h3> Introduction</h3>\u0000 \u0000 <p>Low back pain (LBP), a global disability leader, is often linked to intervertebral disc (IVD) degeneration. Traditional diagnostics like T2-weighted MRI provide qualitative but imprecise evaluations. A novel post-processing MRI technique, Decay Variance (DeVa), has shown promise in differentiating degenerate from healthy discs in animal studies. DeVa quantifies IVD degeneration by analyzing variations in signal intensities within each voxel in a T2* 2D FLASH multi-echo MRI sequence. This study aimed to validate DeVa clinically and explore its correlation with pain severity.</p>\u0000 </section>\u0000 \u0000 <section>\u0000 \u0000 <h3> Methods</h3>\u0000 \u0000 <p>A cross-sectional study included 77 chronic LBP patients and 8 controls, who underwent T2-weighted and T2* 2D FLASH MRI. DeVa scores (worst and sum of all discs) were recorded, alongside traditional assessments like disc bulge, stenosis, high-intensity zones, and Pfirrmann grade. Pain severity was measured with a numerical rating scale. Statistical analyses included Pearson correlation, <i>t</i>-tests, and Gardner-Altman plots to evaluate relationships between DeVa scores, degeneration, and pain.</p>\u0000 </section>\u0000 \u0000 <section>\u0000 \u0000 <h3> Results</h3>\u0000 \u0000 <p>DeVa scores correlated strongly with Pfirrmann grade (<i>r</i> = 0.692, <i>p</i> &lt; 0.001) and were significantly higher in discs with bulge, stenosis, or high-intensity zones (<i>p</i> &lt; 0.001). Moderate correlations were observed between worst DeVa scores (<i>r</i> = 0.296, <i>p</i> &lt; 0.01), total DeVa scores (<i>r</i> = 0.323, <i>p</i> &lt; 0.005) and pain severity. Patients with chronic LBP without severe degeneration (Pfirrmann ≤ 3 with no stenosis observable on standard MRI) had significantly higher worst (1.38 ± 0.26 vs. 1.10 ± 0.29, <i>p</i> &lt; 0.005) and total (5.39 ± 0.75 vs. 4.65 ± 0.61, <i>p</i> &lt; 0.0.1) DeVa scores compared to controls.</p>\u0000 </section>\u0000 \u0000 <section>\u0000 \u0000 <h3> Discussion</h3>\u0000 \u0000 <p>DeVa offers a quantitative, noninvasive approach to assessing IVD degeneration, showing strong correlations with disc health and pain. It demonstrates enhanced sensitivity over traditional MRI, enabling the identification of pain-generating discs and informing personalized treatment strategies for chronic LBP. Further validation in larger populations is needed.</p>\u0000 </section>\u0000 </div>","PeriodicalId":14876,"journal":{"name":"JOR Spine","volume":"8 1","pages":""},"PeriodicalIF":3.4,"publicationDate":"2025-03-06","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://onlinelibrary.wiley.com/doi/epdf/10.1002/jsp2.70056","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"143565145","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":3,"RegionCategory":"医学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"OA","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
引用次数: 0
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