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Li X, Dong X, Zhang W, Shi Z, Liu Z, Sa Y, Li L, Ni N, Mei Y. Multi-omics in exploring the pathophysiology of diabetic retinopathy. Front Cell Dev Biol 2024; 12:1500474. [PMID: 39723239 PMCID: PMC11668801 DOI: 10.3389/fcell.2024.1500474] [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: 09/23/2024] [Accepted: 11/25/2024] [Indexed: 12/28/2024] Open
Abstract
Diabetic retinopathy (DR) is a leading global cause of vision impairment, with its prevalence increasing alongside the rising rates of diabetes mellitus (DM). Despite the retina's complex structure, the underlying pathology of DR remains incompletely understood. Single-cell RNA sequencing (scRNA-seq) and recent advancements in multi-omics analyses have revolutionized molecular profiling, enabling high-throughput analysis and comprehensive characterization of complex biological systems. This review highlights the significant contributions of scRNA-seq, in conjunction with other multi-omics technologies, to DR research. Integrated scRNA-seq and transcriptomic analyses have revealed novel insights into DR pathogenesis, including alternative transcription start site events, fluctuations in cell populations, altered gene expression profiles, and critical signaling pathways within retinal cells. Furthermore, by integrating scRNA-seq with genetic association studies and multi-omics analyses, researchers have identified novel biomarkers, susceptibility genes, and potential therapeutic targets for DR, emphasizing the importance of specific retinal cell types in disease progression. The integration of scRNA-seq with metabolomics has also been instrumental in identifying specific metabolites and dysregulated pathways associated with DR. It is highly conceivable that the continued synergy between scRNA-seq and other multi-omics approaches will accelerate the discovery of underlying mechanisms and the development of novel therapeutic interventions for DR.
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Affiliation(s)
- Xinlu Li
- Faculty of Life Science and Technology, Kunming University of Science and Technology, Kunming, China
- Department of Ophthalmology, The Affiliated Hospital of Kunming University of Science and Technology, Kunming, China
- Department of Ophthalmology, The First People’s Hospital of Yunnan Province, Kunming, China
- Medical School, Kunming University of Science and Technology, Kunming, China
| | - XiaoJing Dong
- Department of Ophthalmology, The Affiliated Hospital of Kunming University of Science and Technology, Kunming, China
- Department of Ophthalmology, The First People’s Hospital of Yunnan Province, Kunming, China
- Medical School, Kunming University of Science and Technology, Kunming, China
| | - Wen Zhang
- Medical School, Kunming University of Science and Technology, Kunming, China
| | - Zhizhou Shi
- Faculty of Life Science and Technology, Kunming University of Science and Technology, Kunming, China
| | - Zhongjian Liu
- Institute of Basic and Clinical Medicine, The First People’s Hospital of Yunnan Province, Kunming, China
| | - Yalian Sa
- Institute of Basic and Clinical Medicine, The First People’s Hospital of Yunnan Province, Kunming, China
| | - Li Li
- Institute of Basic and Clinical Medicine, The First People’s Hospital of Yunnan Province, Kunming, China
| | - Ninghua Ni
- Department of Ophthalmology, The Affiliated Hospital of Kunming University of Science and Technology, Kunming, China
- Department of Ophthalmology, The First People’s Hospital of Yunnan Province, Kunming, China
- Medical School, Kunming University of Science and Technology, Kunming, China
| | - Yan Mei
- Department of Ophthalmology, The Affiliated Hospital of Kunming University of Science and Technology, Kunming, China
- Department of Ophthalmology, The First People’s Hospital of Yunnan Province, Kunming, China
- Medical School, Kunming University of Science and Technology, Kunming, China
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Yin J, Song Y, Fu Y, Wang J, Zhang Z, Ruan S, Liu G, Zhang B. NLRP12/C1qA positive feedback in tumor-associated macrophages regulates immunosuppression through LILRB4/NF-κB pathway in lung adenocarcinoma. Cancer Immunol Immunother 2024; 74:16. [PMID: 39527158 PMCID: PMC11554950 DOI: 10.1007/s00262-024-03880-6] [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: 08/11/2024] [Accepted: 11/02/2024] [Indexed: 11/16/2024]
Abstract
The anti-tumor immune response is greatly hindered by the protumor polarization of tumor-associated macrophages (TAMs). Cancer-related inflammation plays a central role in TAMs protumor polarization. Our study explored the unique positive feedback loop between inflammasome and complement in TAMs. The present study identified NOD-like receptors family pyrin domain containing 12 (NLRP12) formed positive feedback with C1qA and drove TAMs protumor polarization via the LILRB4/NF-κB pathway. In addition, NLRP12 was predominantly expressed in TAMs and was associated with poorer prognosis in lung adenocarcinoma (LUAD) patients. Knocking down LILRB4 inhibited TAMs protumor polarization. NLRP12-overexpressing TAMs promoted tumor cells' malignant progression and inhibited T cells' proliferation and cytotoxic function. Lastly, NLRP12 knockout (NLRP12-/-) reversed macrophage polarization, enhanced T-cell anti-tumor immunity, and suppressed tumor growth. Our findings highlighted the essential role of NLRP12/C1qA positive feedback loop and the LILRB4/NF-κB pathway in promoting TAMs protumor polarization. Inhibition of NLRP12 suppressed tumor development and promoted immune response. NLRP12 may be a promising target for LUAD immunotherapy.
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Affiliation(s)
- Jiaxin Yin
- Cancer Center, Renmin Hospital of Wuhan University, Wuhan, China
| | - Yuxiao Song
- Cancer Center, Renmin Hospital of Wuhan University, Wuhan, China
| | - Yang Fu
- Department of Oncology, Xiangyang Hospital, Hubei University of Chinese Medicine, Xiangyang, China
| | - Jun Wang
- Department of Oncology, The First Affiliated Hospital of Shandong First Medical University, Jinan, China
| | - Zhimin Zhang
- Cancer Center, Renmin Hospital of Wuhan University, Wuhan, China
| | - Shasha Ruan
- Cancer Center, Renmin Hospital of Wuhan University, Wuhan, China
| | - Gaoli Liu
- Department of Thoracic Surgery, Renmin Hospital of Wuhan University, Wuhan, China
| | - Bicheng Zhang
- Cancer Center, Renmin Hospital of Wuhan University, Wuhan, China.
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Khan MN, Mao B, Hu J, Shi M, Wang S, Rehman AU, Li X. Tumor-associated macrophages and CD8+ T cells: dual players in the pathogenesis of HBV-related HCC. Front Immunol 2024; 15:1472430. [PMID: 39450177 PMCID: PMC11499146 DOI: 10.3389/fimmu.2024.1472430] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 07/29/2024] [Accepted: 09/16/2024] [Indexed: 10/26/2024] Open
Abstract
HBV infection is a key risk factor for the development and progression of hepatocellular carcinoma (HCC), a highly invasive tumor, and is characterized by its persistent immunosuppressive microenvironment. This review provides an in-depth analysis of HBV-related HCC and explores the interactions between neutrophils, natural killer cells, and dendritic cells, examining their roles in regulating tumor-associated macrophages and CD8+ T cells and shaping the tumor microenvironment. Two critical players in the immunosuppressive milieu of HBV-related HCC are CD8+ T cells and tumor-associated macrophages (TAMs). The study explores how TAMs, initially recruited to combat infection, transform, adopting a tumor-promoting phenotype, turning against the body, promoting tumor cell proliferation, suppressing anti-tumor immunity, and assisting in the spread of cancer. Meanwhile, CD8+ T cells, crucial for controlling HBV infection, become dysfunctional and exhausted in response to persistent chronic viral inflammation. The review then dissects how TAMs manipulate this immune response, further depleting CD8+ T cell functions through mechanisms like arginine deprivation and creating hypoxic environments that lead to exhaustion. Finally, it explores the challenges and promising therapeutic avenues that target TAMs and CD8+ T cells, either separately or in combination with antiviral therapy and personalized medicine approaches, offering hope for improved outcomes in HBV-related HCC.
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Affiliation(s)
- Muhammad Naveed Khan
- Clinical Molecular Medicine Testing Center, The First Affiliated Hospital of Chongqing Medical University, Chongqing, China
- Western (Chongqing) Collaborative Innovation Center for Intelligent Diagnostics and Digital Medicine, Chongqing, China
| | - Binli Mao
- Department of Blood Transfusion, The First Affiliated Hospital of Chongqing Medical University, Chongqing, China
| | - Juan Hu
- Department of Clinical Laboratory Medicine, Suining Central Hospital, Suining, Sichuan, China
| | - Mengjia Shi
- Clinical Molecular Medicine Testing Center, The First Affiliated Hospital of Chongqing Medical University, Chongqing, China
| | - Shunyao Wang
- Clinical Molecular Medicine Testing Center, The First Affiliated Hospital of Chongqing Medical University, Chongqing, China
| | - Adeel Ur Rehman
- Clinical Molecular Medicine Testing Center, The First Affiliated Hospital of Chongqing Medical University, Chongqing, China
| | - Xiaosong Li
- Clinical Molecular Medicine Testing Center, The First Affiliated Hospital of Chongqing Medical University, Chongqing, China
- Western (Chongqing) Collaborative Innovation Center for Intelligent Diagnostics and Digital Medicine, Chongqing, China
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Chu X, Wu Q, Kong L, Peng Q, Shen J. Multiomics Analysis Identifies Prognostic Signatures for Sepsis-Associated Hepatocellular Carcinoma in Emergency Medicine. Emerg Med Int 2024; 2024:1999820. [PMID: 39421149 PMCID: PMC11486536 DOI: 10.1155/2024/1999820] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Track Full Text] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 04/16/2024] [Revised: 08/06/2024] [Accepted: 08/30/2024] [Indexed: 10/19/2024] Open
Abstract
Objectives Sepsis, caused by the body's response to infection, poses a life-threatening condition and represents a significant global health challenge. Characterized by dysregulated immune response to infection, sepsis may lead to organ dysfunction and failure, ultimately resulting in high mortality rates. The liver plays a crucial role in sepsis, yet the role of differentially expressed genes in septic patients remains unclear in hepatocellular carcinoma (HCC). In this study, we aim to investigate the significance of differentially expressed genes related to sepsis in the occurrence and prognosis of tumors in HCC. Methods We conducted analyses by obtaining gene transcriptome data and clinical data of HCC cases from The Cancer Genome Atlas (TCGA). Furthermore, we obtained transcriptomic sequencing results of septic patients from the Gene Expression Omnibus (GEO) database, identified intersecting differentially expressed genes between the two, and performed survival analysis on the samples using LASSO and Cox regression analysis. Combining analyses of tumor mutation burden (TMB) and immune function, we further elucidated the mechanisms of sepsis-related genes in the prognosis and treatment of HCC. Results We established a prognostic model consisting of four sepsis-related genes: KRT20, PAEP, CCR3, and ANLN. Both the training and validation sets showed excellent outcomes in the prognosis of tumor patients, with significantly longer survival times observed in the low-risk group based on this model compared to the high-risk group. Furthermore, analyses, such as differential analysis of tumor mutation burden, immune function analysis, GO/KEGG pathway enrichment analysis, and drug sensitivity analysis, also demonstrated the potential mechanisms of action of sepsis-related genes. Conclusions Models constructed based on sepsis-related genes have shown excellent predictive ability in prognosis and differential analysis of drug sensitivity among tumor patients. These predictive models can enhance patient prognosis and inform the creation of early treatment protocols for sepsis, consequently aiding in the prevention of sepsis-induced HCC development through the modulation of the overall immune status. This may play a crucial role in patient management and immunotherapy, providing valuable reference for subsequent research.
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Affiliation(s)
- Xin Chu
- Department of Emergency, The Second Affiliated Hospital of Nantong University, Nantong, Jiangsu 226001, China
| | - Qi Wu
- Department of Emergency, The Second Affiliated Hospital of Nantong University, Nantong, Jiangsu 226001, China
| | - Linglin Kong
- Department of Infectious Disease, The Second Affiliated Hospital of Nantong University, Nantong, Jiangsu 226001, China
| | - Qiang Peng
- Department of Emergency, The Second Affiliated Hospital of Nantong University, Nantong, Jiangsu 226001, China
| | - Junhua Shen
- Department of Emergency, The Second Affiliated Hospital of Nantong University, Nantong, Jiangsu 226001, China
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Chae HD, Levi J. Enrichment of novel CD3+F4/80+ cells in brown adipose tissue following adrenergic stimulation. Front Immunol 2024; 15:1455407. [PMID: 39257579 PMCID: PMC11384597 DOI: 10.3389/fimmu.2024.1455407] [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: 06/26/2024] [Accepted: 08/05/2024] [Indexed: 09/12/2024] Open
Abstract
Macrophages play a multifaceted role in maintaining tissue homeostasis, fighting infections, and regulating cold-induced thermogenesis. The brown adipose tissue (BAT) is crucial for maintaining body temperature during cold exposure. Cold stress triggers the sympathetic nervous system to release norepinephrine (NE), which activates BAT via β3-adrenergic receptors, initiating lipolysis and glycolysis. BAT-infiltrating macrophages can either hinder or enhance thermogenesis by controlling the interplay between BAT cells and sympathetic nerves. In this study we report on a unique population of CD3+F4/80+ dual lineage co-expressing (DE) cells within the interscapular BAT (iBAT), that increased following chronic adrenergic stimulation. In forward scatter/side scatter plots, they formed a cluster distinct from lymphocytes, appearing larger and more complex. These CD3+F4/80+ DE cells demonstrated the lack of T cell markers CD62L and TCRβ and expressed higher levels of Ly6C, F4/80, and CD11b markers compared to T cells and CD3- macrophages. Furthermore, analysis revealed two subpopulations within the CD3+F4/80+ DE population based on MHCII expression, with the proportion of MHCII-low subset increasing with adrenergic stimulation. This novel DE population within iBAT, unequivocally identified by the its unique surface marker profile, warrants further investigation into the intricate mechanisms governing adaptive thermogenesis regulation.
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Affiliation(s)
- Hee-Don Chae
- CellSight Technologies Incorporated, San Francisco, CA, United States
| | - Jelena Levi
- CellSight Technologies Incorporated, San Francisco, CA, United States
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Chen Y, Gao J, Ma M, Wang K, Liu F, Yang F, Zou X, Cheng Z, Wu D. The potential role of CMC1 as an immunometabolic checkpoint in T cell immunity. Oncoimmunology 2024; 13:2344905. [PMID: 38659649 PMCID: PMC11042068 DOI: 10.1080/2162402x.2024.2344905] [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: 11/17/2023] [Accepted: 04/15/2024] [Indexed: 04/26/2024] Open
Abstract
T cell immunity is critical for human defensive immune response. Exploring the key molecules during the process provides new targets for T cell-based immunotherapies. CMC1 is a mitochondrial electron transport chain (ETC) complex IV chaperon protein. By establishing in-vitro cell culture system and Cmc1 gene knock out mice, we evaluated the role of CMC1 in T cell activation and differentiation. The B16-OVA tumor model was used to test the possibility of targeting CMC1 for improving T cell anti-tumor immunity. We identified CMC1 as a positive regulator in CD8+T cells activation and terminal differentiation. Meanwhile, we found that CMC1 increasingly expressed in exhausted T (Tex) cells. Genetic lost of Cmc1 inhibits the development of CD8+T cell exhaustion in mice. Instead, deletion of Cmc1 in T cells prompts cells to differentiate into metabolically and functionally quiescent cells with increased memory-like features and tolerance to cell death upon repetitive or prolonged T cell receptor (TCR) stimulation. Further, the in-vitro mechanistic study revealed that environmental lactate enhances CMC1 expression by inducing USP7, mediated stabilization and de-ubiquitination of CMC1 protein, in which a mechanism we propose here that the lactate-enriched tumor microenvironment (TME) drives CD8+TILs dysfunction through CMC1 regulatory effects on T cells. Taken together, our study unraveled the novel role of CMC1 as a T cell regulator and its possibility to be utilized for anti-tumor immunotherapy.
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Affiliation(s)
- Yuwen Chen
- Jinshan Hospital Center for Tumor Diagnosis & Therapy, Jinshan Hospital, Fudan University, Shanghai, China
| | - Jie Gao
- Shanghai Key Laboratory of Lung Inflammation and Injury, Zhongshan Hospital, Fudan University, Shanghai, China
| | - Mingyue Ma
- Institute of Metabolism and Regenerative Medicine, Shanghai Sixth People’s Hospital Affiliated to Shanghai Jiao Tong University School of Medicine, Shanghai, China
| | - Ke Wang
- Jinshan Hospital Center for Tumor Diagnosis & Therapy, Jinshan Hospital, Fudan University, Shanghai, China
| | - Fangming Liu
- Shanghai Key Laboratory of Lung Inflammation and Injury, Zhongshan Hospital, Fudan University, Shanghai, China
| | - Feiyu Yang
- Center of Emergency and Critical Medicine, Jinshan Hospital of Fudan University, Shanghai, China
| | - Xin Zou
- Jinshan Hospital Center for Tumor Diagnosis & Therapy, Jinshan Hospital, Fudan University, Shanghai, China
| | - Zhouli Cheng
- Jinshan Hospital Center for Tumor Diagnosis & Therapy, Jinshan Hospital, Fudan University, Shanghai, China
| | - Duojiao Wu
- Jinshan Hospital Center for Tumor Diagnosis & Therapy, Jinshan Hospital, Fudan University, Shanghai, China
- Shanghai Key Laboratory of Lung Inflammation and Injury, Zhongshan Hospital, Fudan University, Shanghai, China
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