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Liu W, Wang X, Yu Y, Lin W, Xu H, Jiang X, Yuan C, Wang Y, Wang X, Song W, He Y. Inflammatory Cell Interactions in the Rotator Cuff Microenvironment: Insights From Single-Cell Sequencing. Int J Genomics 2025; 2025:6175946. [PMID: 40265083 PMCID: PMC12014260 DOI: 10.1155/ijog/6175946] [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: 01/03/2025] [Accepted: 03/18/2025] [Indexed: 04/24/2025] Open
Abstract
Rotator cuff injuries are a common cause of shoulder pain and dysfunction, with chronic inflammation complicating recovery. Recent advances in single-cell RNA sequencing (scRNA-seq) have provided new insights into the immune cell interactions within the rotator cuff microenvironment during injury and healing. This review focuses on the application of scRNA-seq to explore the roles of immune and nonimmune cells, including macrophages, T-cells, fibroblasts, and myofibroblasts, in driving inflammation, tissue repair, and fibrosis. We discuss how immune cell crosstalk and interactions with the extracellular matrix influence the progression of healing or pathology. Single-cell analyses have identified distinct molecular signatures associated with chronic inflammation, which may contribute to persistent tissue damage. Additionally, we highlight the therapeutic potential of targeting inflammation in rotator cuff repair, emphasizing personalized medicine approaches. Overall, the integration of scRNA-seq in studying rotator cuff injuries enhances our understanding of the cellular mechanisms involved and offers new perspectives for developing targeted treatments in regenerative medicine.
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Affiliation(s)
- Wencai Liu
- Department of Orthopaedics, Shanghai Sixth People's Hospital Affiliated to Shanghai Jiao Tong University School of Medicine, Shanghai, China
| | - Xinyu Wang
- Department of Orthopaedics, Shanghai Sixth People's Hospital Affiliated to Shanghai Jiao Tong University School of Medicine, Shanghai, China
| | - Yuhao Yu
- Department of Orthopaedics, Shanghai Sixth People's Hospital Affiliated to Shanghai Jiao Tong University School of Medicine, Shanghai, China
| | - Weiming Lin
- Department of Orthopaedics, Shanghai Sixth People's Hospital Affiliated to Shanghai Jiao Tong University School of Medicine, Shanghai, China
| | - Hui Xu
- Department of Orthopaedics, Shanghai Sixth People's Hospital Affiliated to Shanghai Jiao Tong University School of Medicine, Shanghai, China
| | - Xiping Jiang
- Department of Orthopaedics, Shanghai Sixth People's Hospital Affiliated to Shanghai Jiao Tong University School of Medicine, Shanghai, China
| | - Chenrui Yuan
- Department of Orthopaedics, Shanghai Sixth People's Hospital Affiliated to Shanghai Jiao Tong University School of Medicine, Shanghai, China
| | - Yifei Wang
- Department of Orthopaedics, Shanghai Sixth People's Hospital Affiliated to Shanghai Jiao Tong University School of Medicine, Shanghai, China
| | - Xin Wang
- Department of Orthopaedics, Shanghai Sixth People's Hospital Affiliated to Shanghai Jiao Tong University School of Medicine, Shanghai, China
| | - Wei Song
- Department of Orthopaedics, Shanghai Sixth People's Hospital Affiliated to Shanghai Jiao Tong University School of Medicine, Shanghai, China
| | - Yaohua He
- Department of Orthopaedics, Shanghai Sixth People's Hospital Affiliated to Shanghai Jiao Tong University School of Medicine, Shanghai, China
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Zhang P, Wang J, Miao J, Zhu P. The dual role of tissue regulatory T cells in tissue repair: return to homeostasis or fibrosis. Front Immunol 2025; 16:1560578. [PMID: 40114929 PMCID: PMC11922884 DOI: 10.3389/fimmu.2025.1560578] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 01/14/2025] [Accepted: 02/18/2025] [Indexed: 03/22/2025] Open
Abstract
Tissue resident regulatory T cells (tissue Tregs) are vital for maintaining immune homeostasis and controlling inflammation. They aid in repairing damaged tissues and influencing the progression of fibrosis. However, despite extensive research on how tissue Tregs interact with immune and non-immune cells during tissue repair, their pro- and anti-fibrotic effects in chronic tissue injury remain unclear. Understanding how tissue Tregs interact with various cell types, as well as their roles in chronic injury and fibrosis, is crucial for uncovering the mechanisms behind these conditions. In this review, we describe the roles of tissue Tregs in repair and fibrosis across different tissues and explore potential strategies for regulating tissue homeostasis. These insights hold promise for providing new perspectives and approaches for the treatment of irreversible fibrotic diseases.
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Affiliation(s)
| | | | - Jinlin Miao
- Department of Clinical Immunology of Xijing Hospital and Department of Cell Biology of National Translational Science Center for Molecular Medicine, Fourth Military Medical University, Xi’an, Shaanxi, China
| | - Ping Zhu
- Department of Clinical Immunology of Xijing Hospital and Department of Cell Biology of National Translational Science Center for Molecular Medicine, Fourth Military Medical University, Xi’an, Shaanxi, China
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Verdonk F, Cambriel A, Hedou J, Ganio E, Bellan G, Gaudilliere D, Einhaus J, Sabayev M, Stelzer IA, Feyaerts D, Bonham AT, Ando K, Choisy B, Drover D, Heifets B, Chretien F, Aghaeepour N, Angst MS, Molliex S, Sharshar T, Gaillard R, Gaudilliere B. An immune signature of postoperative cognitive decline: a prospective cohort study. Int J Surg 2024; 110:7749-7762. [PMID: 39411891 PMCID: PMC11634152 DOI: 10.1097/js9.0000000000002118] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 04/22/2024] [Accepted: 09/29/2024] [Indexed: 10/30/2024]
Abstract
BACKGROUND Postoperative cognitive decline (POCD) is the predominant complication affecting patients over 60 years old following major surgery, yet its prediction and prevention remain challenging. Understanding the biological processes underlying the pathogenesis of POCD is essential for identifying mechanistic biomarkers to advance diagnostics and therapeutics. This study aimed to provide a comprehensive analysis of immune cell trajectories differentiating patients with and without POCD and to derive a predictive score enabling the identification of high-risk patients during the preoperative period. MATERIAL AND METHODS Twenty-six patients aged 60 years old and older undergoing elective major orthopedic surgery were enrolled in a prospective longitudinal study, and the occurrence of POCD was assessed 7 days after surgery. Serial samples collected before surgery, and 1, 7, and 90 days after surgery were analyzed using a combined single-cell mass cytometry and plasma proteomic approach. Unsupervised clustering of the high-dimensional mass cytometry data was employed to characterize time-dependent trajectories of all major innate and adaptive immune cell frequencies and signaling responses. Sparse machine learning coupled with data-driven feature selection was applied to the presurgery immunological dataset to classify patients at risk for POCD. RESULTS The analysis identified cell-type and signaling-specific immune trajectories differentiating patients with and without POCD. The most prominent trajectory features revealed early exacerbation of JAK/STAT and dampening of inhibitory κB and nuclear factor-κB immune signaling responses in patients with POCD. Further analyses integrating immunological and clinical data collected before surgery identified a preoperative predictive model comprising one plasma protein and 10 immune cell features that classified patients at risk for POCD with excellent accuracy (AUC=0.80, P =2.21e-02 U -test). CONCLUSION Immune system-wide monitoring of patients over 60 years old undergoing surgery unveiled a peripheral immune signature of POCD. A predictive model built on immunological data collected before surgery demonstrated greater accuracy in predicting POCD compared to known clinical preoperative risk factors, offering a concise list of biomarker candidates to personalize perioperative management.
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Affiliation(s)
- Franck Verdonk
- Department of Anesthesiology, Perioperative and Pain Medicine, School of Medicine, Stanford University, Stanford, California, USA
- Department of Anesthesiology and Intensive Care, Saint-Antoine and Tenon Hospitals and GRC 29, DMU DREAM, Assistance Publique-Hôpitaux de Paris, France
- UMRS_938, Centre de Recherche Saint-Antoine (CRSA), Sorbonne Université-Inserm, Paris, France
| | - Amélie Cambriel
- Department of Anesthesiology, Perioperative and Pain Medicine, School of Medicine, Stanford University, Stanford, California, USA
- Department of Anesthesiology and Intensive Care, Saint-Antoine and Tenon Hospitals and GRC 29, DMU DREAM, Assistance Publique-Hôpitaux de Paris, France
- UMRS_938, Centre de Recherche Saint-Antoine (CRSA), Sorbonne Université-Inserm, Paris, France
| | - Julien Hedou
- Department of Anesthesiology, Perioperative and Pain Medicine, School of Medicine, Stanford University, Stanford, California, USA
| | - Ed Ganio
- Department of Anesthesiology, Perioperative and Pain Medicine, School of Medicine, Stanford University, Stanford, California, USA
| | - Grégoire Bellan
- Télécom Paris, Institut Polytechnique de Paris, Paris, France
| | - Dyani Gaudilliere
- Department of Surgery, Division of Plastic and Reconstructive Surgery, School of Medicine, Stanford University, Stanford, California, USA
| | - Jakob Einhaus
- Department of Anesthesiology, Perioperative and Pain Medicine, School of Medicine, Stanford University, Stanford, California, USA
| | - Maximilian Sabayev
- Department of Anesthesiology, Perioperative and Pain Medicine, School of Medicine, Stanford University, Stanford, California, USA
| | - Ina A. Stelzer
- Department of Anesthesiology, Perioperative and Pain Medicine, School of Medicine, Stanford University, Stanford, California, USA
- Department of Pathology, University of California San Diego, La Jolla, California, USA
| | - Dorien Feyaerts
- Department of Anesthesiology, Perioperative and Pain Medicine, School of Medicine, Stanford University, Stanford, California, USA
| | - Adam T. Bonham
- Department of Anesthesiology, Perioperative and Pain Medicine, School of Medicine, Stanford University, Stanford, California, USA
| | - Kazuo Ando
- Department of Anesthesiology, Perioperative and Pain Medicine, School of Medicine, Stanford University, Stanford, California, USA
| | - Benjamin Choisy
- Department of Anesthesiology, Perioperative and Pain Medicine, School of Medicine, Stanford University, Stanford, California, USA
| | - David Drover
- Department of Anesthesiology, Perioperative and Pain Medicine, School of Medicine, Stanford University, Stanford, California, USA
| | - Boris Heifets
- Department of Anesthesiology, Perioperative and Pain Medicine, School of Medicine, Stanford University, Stanford, California, USA
| | - Fabrice Chretien
- Université Paris Cité, Institute of Psychiatry and Neuroscience of Paris, INSERM U1266, Paris, France
| | - Nima Aghaeepour
- Department of Anesthesiology, Perioperative and Pain Medicine, School of Medicine, Stanford University, Stanford, California, USA
| | - Martin S. Angst
- Department of Anesthesiology, Perioperative and Pain Medicine, School of Medicine, Stanford University, Stanford, California, USA
| | - Serge Molliex
- Department of Anaesthesiology and Critical Care Medicine, Hôpital Nord, Saint Etienne, France
| | - Tarek Sharshar
- Neuro-Anesthesiology and Intensive Care Medicine, Groupe Hospitalier Universitaire (GHU) Paris Psychiatrie et Neurosciences, Université de Paris, France
| | - Raphael Gaillard
- GHU Paris Psychiatrie and Neurosciences, Hôpital Sainte-Anne, Service Hospitalo-Universitaire, Pôle Hospitalo-Universitaire Paris 15, France
| | - Brice Gaudilliere
- Department of Anesthesiology, Perioperative and Pain Medicine, School of Medicine, Stanford University, Stanford, California, USA
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Liao R, Hsu JY, Aboelella NS, McKeever JA, Thomas-Toth AT, Koh AS, LaBelle JL. Venetoclax Induces BCL-2-Dependent Treg to TH17 Plasticity to Enhance the Antitumor Efficacy of Anti-PD-1 Checkpoint Blockade. Cancer Immunol Res 2024; 12:1074-1089. [PMID: 38810242 PMCID: PMC11293981 DOI: 10.1158/2326-6066.cir-23-0344] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 04/20/2023] [Revised: 03/01/2024] [Accepted: 05/22/2024] [Indexed: 05/31/2024]
Abstract
The specific BCL-2 small molecule inhibitor venetoclax induces apoptosis in a wide range of malignancies, which has led to rapid clinical expansion in its use alone and in combination with chemotherapy and immune-based therapies against a myriad of cancer types. While lymphocytes, and T cells in particular, rely heavily on BCL-2 for survival and function, the effects of small molecule blockade of the BCL-2 family on surviving immune cells is not fully understood. We aimed to better understand the effect of systemic treatment with venetoclax on regulatory T cells (Treg), which are relatively resistant to cell death induced by specific drugging of BCL-2 compared to other T cells. We found that BCL-2 blockade altered Treg transcriptional profiles and mediated Treg plasticity toward a TH17-like Treg phenotype, resulting in increased IL17A production in lymphoid organs and within the tumor microenvironment. Aligned with previously described augmented antitumor effects observed when combining venetoclax with anti-PD-1 checkpoint inhibition, we also demonstrated that Treg-specific genetic BCL-2 knockout combined with anti-PD-1 induced tumor regression and conferred overlapping genetic changes with venetoclax-treated Tregs. As long-term combination therapies using venetoclax gain more traction in the clinic, an improved understanding of the immune-modulatory effects caused by venetoclax may allow expansion of its use against malignancies and immune-related diseases.
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Affiliation(s)
- Rosy Liao
- Department of Pediatrics, Section of Hematology and Oncology, University of Chicago, Chicago, IL USA
| | - Jocelyn Y. Hsu
- Department of Pediatrics, Section of Hematology and Oncology, University of Chicago, Chicago, IL USA
| | - Nada S. Aboelella
- Department of Pediatrics, Section of Hematology and Oncology, University of Chicago, Chicago, IL USA
| | | | - Anika T. Thomas-Toth
- Department of Pediatrics, Section of Hematology and Oncology, University of Chicago, Chicago, IL USA
| | - Andrew S. Koh
- Department of Pathology, University of Chicago, Chicago, IL USA
| | - James L. LaBelle
- Department of Pediatrics, Section of Hematology and Oncology, University of Chicago, Chicago, IL USA
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Verdonk F, Cambriel A, Hedou J, Ganio E, Bellan G, Gaudilliere D, Einhaus J, Sabayev M, Stelzer IA, Feyaerts D, Bonham AT, Ando K, Choisy B, Drover D, Heifets B, Chretien F, Aghaeepour N, Angst MS, Molliex S, Sharshar T, Gaillard R, Gaudilliere B. An immune signature of postoperative cognitive decline in elderly patients. BIORXIV : THE PREPRINT SERVER FOR BIOLOGY 2024:2024.03.02.582845. [PMID: 38496400 PMCID: PMC10942349 DOI: 10.1101/2024.03.02.582845] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Grants] [Track Full Text] [Subscribe] [Scholar Register] [Indexed: 03/19/2024]
Abstract
Postoperative cognitive decline (POCD) is the predominant complication affecting elderly patients following major surgery, yet its prediction and prevention remain challenging. Understanding biological processes underlying the pathogenesis of POCD is essential for identifying mechanistic biomarkers to advance diagnostics and therapeutics. This longitudinal study involving 26 elderly patients undergoing orthopedic surgery aimed to characterize the impact of peripheral immune cell responses to surgical trauma on POCD. Trajectory analyses of single-cell mass cytometry data highlighted early JAK/STAT signaling exacerbation and diminished MyD88 signaling post-surgery in patients who developed POCD. Further analyses integrating single-cell and plasma proteomic data collected before surgery with clinical variables yielded a sparse predictive model that accurately identified patients who would develop POCD (AUC = 0.80). The resulting POCD immune signature included one plasma protein and ten immune cell features, offering a concise list of biomarker candidates for developing point-of-care prognostic tests to personalize perioperative management of at-risk patients. The code and the data are documented and available at https://github.com/gregbellan/POCD . Teaser Modeling immune cell responses and plasma proteomic data predicts postoperative cognitive decline.
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