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Vasquez-Bolanos LS, Gibbons MC, Ruoss S, Wu IT, Esparza MC, Fithian DC, Lane JG, Singh A, Nasamran CA, Fisch KM, Ward SR. Transcriptional time course after rotator cuff repair in 6 month old female rabbits. Front Physiol 2023; 14:1164055. [PMID: 37228812 PMCID: PMC10203179 DOI: 10.3389/fphys.2023.1164055] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 02/11/2023] [Accepted: 04/25/2023] [Indexed: 05/27/2023] Open
Abstract
Introduction: Rotator cuff tears are prevalent in the population above the age of 60. The disease progression leads to muscle atrophy, fibrosis, and fatty infiltration, which is not improved upon with surgical repair, highlighting the need to better understand the underlying biology impairing more favorable outcomes. Methods: In this study, we collected supraspinatus muscle tissue from 6 month old female rabbits who had undergone unilateral tenotomy for 8 weeks at 1, 2, 4, or 8 weeks post-repair (n = 4/group). RNA sequencing and enrichment analyses were performed to identify a transcriptional timeline of rotator cuff muscle adaptations and related morphological sequelae. Results: There were differentially expressed (DE) genes at 1 (819 up/210 down), 2 (776/120), and 4 (63/27) weeks post-repair, with none at 8 week post-repair. Of the time points with DE genes, there were 1092 unique DE genes and 442 shared genes, highlighting that there are changing processes in the muscle at each time point. Broadly, 1-week post-repair differentially expressed genes were significantly enriched in pathways of metabolism and energetic activity, binding, and regulation. Many were also significantly enriched at 2 weeks, with the addition of NIF/NF-kappaB signaling, transcription in response to hypoxia, and mRNA stability alongside many additional pathways. There was also a shift in transcriptional activity at 4 weeks post-repair with significantly enriched pathways for lipids, hormones, apoptosis, and cytokine activity, despite an overall decrease in the number of differentially expressed genes. At 8 weeks post-repair there were no DE genes when compared to control. These transcriptional profiles were correlated with the histological findings of increased fat, degeneration, and fibrosis. Specifically, correlated gene sets were enriched for fatty acid metabolism, TGF-B-related, and other pathways. Discussion: This study identifies the timeline of transcriptional changes in muscle after RC repair, which by itself, does not induce a growth/regenerative response as desired. Instead, it is predominately related to metabolism/energetics changes at 1 week post-repair, unclear or asynchronous transcriptional diversity at 2 weeks post-repair, increased adipogenesis at 4 weeks post-repair, and a low transcriptional steady state or a dysregulated stress response at 8 weeks post-repair.
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Affiliation(s)
- Laura S. Vasquez-Bolanos
- Department of Bioengineering, University of California, San Diego, San Diego, CA, United States
- Department of Orthopaedic Surgery, University of California, San Diego, San Diego, CA, United States
| | - Michael C. Gibbons
- Department of Bioengineering, University of California, San Diego, San Diego, CA, United States
- Department of Orthopaedic Surgery, University of California, San Diego, San Diego, CA, United States
| | - Severin Ruoss
- Department of Orthopaedic Surgery, University of California, San Diego, San Diego, CA, United States
| | - Isabella T. Wu
- Department of Orthopaedic Surgery, University of California, San Diego, San Diego, CA, United States
| | - Mary C. Esparza
- Department of Orthopaedic Surgery, University of California, San Diego, San Diego, CA, United States
| | - Donald C. Fithian
- Department of Orthopaedic Surgery, University of California, San Diego, San Diego, CA, United States
| | - John G. Lane
- Department of Orthopaedic Surgery, University of California, San Diego, San Diego, CA, United States
| | - Anshuman Singh
- Department of Orthopaedic Surgery, University of California, San Diego, San Diego, CA, United States
- Department of Orthopaedic Surgery, Kaiser Permanente, San Diego, CA, United States
| | - Chanond A. Nasamran
- Center for Computational Biology and Bioinformatics, Department of Medicine, University of California, San Diego, San Diego, CA, United States
| | - Kathleen M. Fisch
- Center for Computational Biology and Bioinformatics, Department of Medicine, University of California, San Diego, San Diego, CA, United States
- Department of Obstetrics, Gynecology and Reproductive Science, University of California, San Diego, San Diego, CA, United States
| | - Samuel R. Ward
- Department of Bioengineering, University of California, San Diego, San Diego, CA, United States
- Department of Orthopaedic Surgery, University of California, San Diego, San Diego, CA, United States
- Department of Radiology, University of California, San Diego, San Diego, CA, United States
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Yang Z, Zhang M, Liu T, Zhang B, Wang X, Liang J, Jiang J, Yun X. Does the Fatty Infiltration Influence the Re-tear Rate and Functional Outcome After Rotator Cuff Repair? A Systematic Review and Meta-analysis. Indian J Orthop 2023; 57:227-237. [PMID: 36777118 PMCID: PMC9880084 DOI: 10.1007/s43465-022-00807-0] [Citation(s) in RCA: 6] [Impact Index Per Article: 3.0] [Reference Citation Analysis] [Abstract] [Key Words] [Grants] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 07/15/2022] [Accepted: 12/18/2022] [Indexed: 01/11/2023]
Abstract
Purpose Fatty infiltration (FI) of the rotator cuff muscles occurs after rotator cuff tears (RCTs), which may affect the outcome of the repair procedure. This study aimed to determine the relationship between preoperative FI and the rate of re-tear and functional outcomes after rotator cuff repair. Methods Computerized databases, including PubMed, EMBASE, Web of Science, and Cochrane Library database were searched for studies published from the inception date to January 2022. Two reviewers independently screened the titles and abstracts using prespecified criteria. Articles were included if they clearly stated the effect of varying degrees of FI on the outcome after shoulder cuff repair. Comparison was performed by different degrees of FI analysis: no FI is grade 0-1, FI is grade 2 and above. Statistical analysis was performed using Review Manager 5.4.1 software. Results A total of 16 articles involving 1383 patients from 8 countries were included. The follow-up period ranged from 8 to 121 months. In terms of re-tear rate: patients with preoperative FI had significantly higher rates of re-tear compared with patients without FI (OR 4.60, 95% CI 2.22-9.54, p < 0.0001), supraspinatus FI VS no FI (OR 2.06, 95% CI 1.00-4.24, p = 0.05), infraspinatus FI VS no FI (OR 2.42, 95% CI 1.19-4.91, p = 0.01). In terms of functional scoring: patients without FI had higher postoperative Constant-Murley (Constant) scores than those with FI (MD - 5.06, 95% CI - 9.40 to - 0.72, p = 0.02), there was no clear evidence that preoperative FI was related to postoperative American Society of shoulder and elbow physicians scores and the University of California at Los Angeles scores and range of motion. Conclusion FI after RCTs significantly increases the risk of postoperative re-tear and leads to worse functional scores, especially FI of the infraspinatus muscle. However, FI does not seem to reduce postoperative range of motion. Supplementary Information The online version contains supplementary material available at 10.1007/s43465-022-00807-0.
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Affiliation(s)
- Zhitao Yang
- Department of Orthopaedics, Lanzhou University Second Hospital, No. 82 Cuiyingmen, Chengguan District, Lanzhou, 730000 Gansu People’s Republic of China
| | - Mingtao Zhang
- Department of Orthopaedics, Lanzhou University Second Hospital, No. 82 Cuiyingmen, Chengguan District, Lanzhou, 730000 Gansu People’s Republic of China
| | - Tao Liu
- Department of Orthopaedics, Lanzhou University Second Hospital, No. 82 Cuiyingmen, Chengguan District, Lanzhou, 730000 Gansu People’s Republic of China
| | - Borong Zhang
- Department of Orthopaedics, Lanzhou University Second Hospital, No. 82 Cuiyingmen, Chengguan District, Lanzhou, 730000 Gansu People’s Republic of China
| | - Xihao Wang
- Department of Orthopaedics, Lanzhou University Second Hospital, No. 82 Cuiyingmen, Chengguan District, Lanzhou, 730000 Gansu People’s Republic of China
| | - Junwen Liang
- Department of Orthopaedics, Lanzhou University Second Hospital, No. 82 Cuiyingmen, Chengguan District, Lanzhou, 730000 Gansu People’s Republic of China
| | - Jin Jiang
- Department of Orthopaedics, Lanzhou University Second Hospital, No. 82 Cuiyingmen, Chengguan District, Lanzhou, 730000 Gansu People’s Republic of China
| | - Xiangdong Yun
- Department of Orthopaedics, Lanzhou University Second Hospital, No. 82 Cuiyingmen, Chengguan District, Lanzhou, 730000 Gansu People’s Republic of China
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Tian D, Yu Y, Zhang L, Sun J, Jiang W. A Five-Gene-Based Prognostic Signature for Hepatocellular Carcinoma. Front Med (Lausanne) 2021; 8:681388. [PMID: 34568357 PMCID: PMC8455941 DOI: 10.3389/fmed.2021.681388] [Citation(s) in RCA: 7] [Impact Index Per Article: 1.8] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 03/17/2021] [Accepted: 08/05/2021] [Indexed: 12/13/2022] Open
Abstract
Objective: This study intends to identify potential prognostic marker genes associated with the prognosis of patients suffering from hepatocellular carcinoma (HCC) based on TCGA and GEO analysis. Methods: TCGA-LIHC cohort was downloaded and the data related to HCC were extracted from The Cancer Genome Atlas (TCGA) database and subjected to differential analysis. HCC-related gene expression datasets were retrieved from the GEO database, followed by differential analysis. After intersection of the results of TCGA and GEO databases, gene interaction analysis was performed to obtain the core genes. To identify the genes related to the prognosis of HCC patients, we conducted univariate and multivariate Cox analyses. Results: Based on differential analysis of TCGA database, 854 genes were differentially expressed in HCC, any of which might link to the occurrence and progression of HCC. Meanwhile, joint analysis of HCC-related gene expression datasets in the GEO database screened 214 genes. Five core genes CDC20, TOP2A, RRM2, UBE2C and AOX1 were significantly associated with the prognosis of HCC patients and the risk model based on these five genes effectively predicted the prognosis of HCC patients. Conclusion: Collectively, our data suggest that CDC20, TOP2A, RRM2, UBE2C and AOX1 may be the key genes affecting the prognosis of patients with HCC. The five-gene signature could accurately predict the prognosis of HCC patients.
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Affiliation(s)
- Dazhi Tian
- Department of Liver Transplantation, Tianjin First Central Hospital, Tianjin, China
| | - Yang Yu
- Department of Liver Transplantation, Tianjin First Central Hospital, Tianjin, China
| | - Li Zhang
- Department of Liver Transplantation, Tianjin First Central Hospital, Tianjin, China
| | - Jisan Sun
- Department of Liver Transplantation, Tianjin First Central Hospital, Tianjin, China
| | - Wentao Jiang
- Department of Liver Transplantation, Tianjin First Central Hospital, Tianjin, China
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Vasquez-Bolanos LS, Gibbons MC, Ruoss S, Wu IT, Vargas-Vila M, Hyman SA, Esparza MC, Fithian DC, Lane JG, Singh A, Nasamran CA, Fisch KM, Ward SR. Transcriptional Time Course After Rotator Cuff Tear. Front Physiol 2021; 12:707116. [PMID: 34421646 PMCID: PMC8378535 DOI: 10.3389/fphys.2021.707116] [Citation(s) in RCA: 5] [Impact Index Per Article: 1.3] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 05/09/2021] [Accepted: 07/06/2021] [Indexed: 12/13/2022] Open
Abstract
Rotator cuff (RC) tears are prevalent in the population above the age of 60. The disease progression leads to muscle atrophy, fibrosis, and fatty infiltration in the chronic state, which is not improved with intervention or surgical repair. This highlights the need to better understand the underlying dysfunction in muscle after RC tendon tear. Contemporary studies aimed at understanding muscle pathobiology after RC tear have considered transcriptional data in mice, rats and sheep models at 2–3 time points (1 to 16 weeks post injury). However, none of these studies observed a transition or resurgence of gene expression after the initial acute time points. In this study, we collected rabbit supraspinatus muscle tissue with high temporal resolution (1, 2, 4, 8, and 16 weeks) post-tenotomy (n = 6/group), to determine if unique, time-dependent transcriptional changes occur. RNA sequencing and analyses were performed to identify a transcriptional timeline of RC muscle changes and related morphological sequelae. At 1-week post-tenotomy, the greatest number of differentially expressed genes was observed (1,069 up/873 down) which decreases through 2 (170/133), 4 (86/41), and 8 weeks (16/18), followed by a resurgence and transition of expression at 16 weeks (1,421/293), a behavior which previously has not been captured or reported. Broadly, 1-week post-tenotomy is an acute time point with expected immune system responses, catabolism, and changes in energy metabolism, which continues into 2 weeks with less intensity and greater contribution from mitochondrial effects. Expression shifts at 4 weeks post-tenotomy to fatty acid oxidation, lipolysis, and general upregulation of adipogenesis related genes. The effects of previous weeks’ transcriptional dysfunction present themselves at 8 weeks post-tenotomy with enriched DNA damage binding, aggresome activity, extracellular matrix-receptor changes, and significant expression of genes known to induce apoptosis. At 16 weeks post-tenotomy, there is a range of enriched pathways including extracellular matrix constituent binding, mitophagy, neuronal activity, immune response, and more, highlighting the chaotic nature of this time point and possibility of a chronic classification. Transcriptional activity correlated significantly with histological changes and were enriched for biologically relevant pathways such as lipid metabolism. These data provide platform for understanding the biological mechanisms of chronic muscle degeneration after RC tears.
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Affiliation(s)
- Laura S Vasquez-Bolanos
- Department of Bioengineering, University of California, San Diego, San Diego, CA, United States.,Department of Orthopaedic Surgery, University of California, San Diego, San Diego, CA, United States
| | - Michael C Gibbons
- Department of Bioengineering, University of California, San Diego, San Diego, CA, United States.,Department of Orthopaedic Surgery, University of California, San Diego, San Diego, CA, United States
| | - Severin Ruoss
- Department of Orthopaedic Surgery, University of California, San Diego, San Diego, CA, United States
| | - Isabella T Wu
- Department of Orthopaedic Surgery, University of California, San Diego, San Diego, CA, United States
| | - Mario Vargas-Vila
- Department of Orthopaedic Surgery, University of California, San Diego, San Diego, CA, United States
| | - Sydnee A Hyman
- Department of Bioengineering, University of California, San Diego, San Diego, CA, United States.,Department of Orthopaedic Surgery, University of California, San Diego, San Diego, CA, United States
| | - Mary C Esparza
- Department of Orthopaedic Surgery, University of California, San Diego, San Diego, CA, United States
| | - Donald C Fithian
- Department of Orthopaedic Surgery, University of California, San Diego, San Diego, CA, United States
| | - John G Lane
- Department of Orthopaedic Surgery, University of California, San Diego, San Diego, CA, United States
| | - Anshuman Singh
- Department of Orthopaedic Surgery, University of California, San Diego, San Diego, CA, United States.,Department of Orthopedic Surgery, Kaiser Permanente, San Diego, CA, United States
| | - Chanond A Nasamran
- Center for Computational Biology and Bioinformatics, Department of Medicine, University of California, San Diego, San Diego, CA, United States
| | - Kathleen M Fisch
- Center for Computational Biology and Bioinformatics, Department of Medicine, University of California, San Diego, San Diego, CA, United States
| | - Samuel R Ward
- Department of Bioengineering, University of California, San Diego, San Diego, CA, United States.,Department of Orthopaedic Surgery, University of California, San Diego, San Diego, CA, United States.,Department of Radiology, University of California, San Diego, San Diego, CA, United States
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Attractor Concepts to Evaluate the Transcriptome-wide Dynamics Guiding Anaerobic to Aerobic State Transition in Escherichia coli. Sci Rep 2020; 10:5878. [PMID: 32246034 PMCID: PMC7125300 DOI: 10.1038/s41598-020-62804-3] [Citation(s) in RCA: 11] [Impact Index Per Article: 2.2] [Reference Citation Analysis] [Abstract] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 12/02/2019] [Accepted: 03/19/2020] [Indexed: 01/14/2023] Open
Abstract
For any dynamical system, like living organisms, an attractor state is a set of variables or mechanisms that converge towards a stable system behavior despite a wide variety of initial conditions. Here, using multi-dimensional statistics, we investigate the global gene expression attractor mechanisms shaping anaerobic to aerobic state transition (AAT) of Escherichia coli in a bioreactor at early times. Out of 3,389 RNA-Seq expression changes over time, we identified 100 sharply changing genes that are key for guiding 1700 genes into the AAT attractor basin. Collectively, these genes were named as attractor genes constituting of 6 dynamic clusters. Apart from the expected anaerobic (glycolysis), aerobic (TCA cycle) and fermentation (succinate pathways) processes, sulphur metabolism, ribosome assembly and amino acid transport mechanisms together with 332 uncharacterised genes are also key for AAT. Overall, our work highlights the importance of multi-dimensional statistical analyses for revealing novel processes shaping AAT.
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