1
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Guo X, Song J, Liu M, Ou X, Guo Y. The interplay between the tumor microenvironment and tumor-derived small extracellular vesicles in cancer development and therapeutic response. Cancer Biol Ther 2024; 25:2356831. [PMID: 38767879 PMCID: PMC11110713 DOI: 10.1080/15384047.2024.2356831] [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: 10/22/2023] [Accepted: 05/14/2024] [Indexed: 05/22/2024] Open
Abstract
The tumor microenvironment (TME) plays an essential role in tumor cell survival by profoundly influencing their proliferation, metastasis, immune evasion, and resistance to treatment. Extracellular vesicles (EVs) are small particles released by all cell types and often reflect the state of their parental cells and modulate other cells' functions through the various cargo they transport. Tumor-derived small EVs (TDSEVs) can transport specific proteins, nucleic acids and lipids tailored to propagate tumor signals and establish a favorable TME. Thus, the TME's biological characteristics can affect TDSEV heterogeneity, and this interplay can amplify tumor growth, dissemination, and resistance to therapy. This review discusses the interplay between TME and TDSEVs based on their biological characteristics and summarizes strategies for targeting cancer cells. Additionally, it reviews the current issues and challenges in this field to offer fresh insights into comprehending tumor development mechanisms and exploring innovative clinical applications.
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Affiliation(s)
- Xuanyu Guo
- The Affiliated Hospital, Southwest Medical University, Luzhou, PR China
| | - Jiajun Song
- Department of Clinical Laboratory Medicine, the Affiliated Hospital, Southwest Medical University, Luzhou, PR China
| | - Miao Liu
- Nanobiosensing and Microfluidic Point-of-Care Testing, Key Laboratory of Luzhou, Department of Clinical Laboratory, The Affiliated Traditional Chinese Medicine Hospital, Southwest Medical University, Luzhou, PR China
| | - Xinyi Ou
- Nanobiosensing and Microfluidic Point-of-Care Testing, Key Laboratory of Luzhou, Department of Clinical Laboratory, The Affiliated Traditional Chinese Medicine Hospital, Southwest Medical University, Luzhou, PR China
| | - Yongcan Guo
- Nanobiosensing and Microfluidic Point-of-Care Testing, Key Laboratory of Luzhou, Department of Clinical Laboratory, The Affiliated Traditional Chinese Medicine Hospital, Southwest Medical University, Luzhou, PR China
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2
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Shoaran M, Sabaie H, Mostafavi M, Rezazadeh M. A comprehensive review of the applications of RNA sequencing in celiac disease research. Gene 2024; 927:148681. [PMID: 38871036 DOI: 10.1016/j.gene.2024.148681] [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: 02/02/2024] [Revised: 06/06/2024] [Accepted: 06/10/2024] [Indexed: 06/15/2024]
Abstract
RNA sequencing (RNA-seq) has undergone substantial advancements in recent decades and has emerged as a vital technique for profiling the transcriptome. The transition from bulk sequencing to single-cell and spatial approaches has facilitated the achievement of higher precision at cell resolution. It provides valuable biological knowledge about individual immune cells and aids in the discovery of the molecular mechanisms that contribute to the development of autoimmune diseases. Celiac disease (CeD) is an autoimmune disorder characterized by a strong immune response to gluten consumption. RNA-seq has led to significantly advanced research in multiple fields, particularly in CeD research. It has been instrumental in studies involving comparative transcriptomics, nutritional genomics and wheat research, cancer research in the context of CeD, genetic and noncoding RNA-mediated epigenetic insights, disease monitoring and biomarker discovery, regulation of mitochondrial functions, therapeutic target identification and drug mechanism of action, dietary factors, immune cell profiling and the immune landscape. This review offers a comprehensive examination of recent RNA-seq technology research in the field of CeD, highlighting future challenges and opportunities for its application.
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Affiliation(s)
- Maryam Shoaran
- Pediatric Health Research Center, Tabriz University of Medical Sciences, Tabriz, Iran
| | - Hani Sabaie
- Department of Medical Genetics, Faculty of Medicine, Tabriz University of Medical Sciences, Tabriz, Iran
| | - Mehrnaz Mostafavi
- Faculty of Allied Medicine, Shahid Beheshti University of Medical Sciences, Tehran, Iran
| | - Maryam Rezazadeh
- Department of Medical Genetics, Faculty of Medicine, Tabriz University of Medical Sciences, Tabriz, Iran.
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3
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Guo Y, Ren C, He Y, Wu Y, Yang X. Deciphering the spatiotemporal transcriptional landscape of intestinal diseases (Review). Mol Med Rep 2024; 30:157. [PMID: 38994768 PMCID: PMC11258600 DOI: 10.3892/mmr.2024.13281] [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: 11/21/2023] [Accepted: 04/19/2024] [Indexed: 07/13/2024] Open
Abstract
The intestines are the largest barrier organ in the human body. The intestinal barrier plays a crucial role in maintaining the balance of the intestinal environment and protecting the intestines from harmful bacterial invasion. Single‑cell RNA sequencing technology allows the detection of the different cell types in the intestine in two dimensions and the exploration of cell types that have not been fully characterized. The intestinal mucosa is highly complex in structure, and its proper functioning is linked to multiple structures in the proximal‑distal intestinal and luminal‑mucosal axes. Spatial localization is at the core of the efforts to explore the interactions between the complex structures. Spatial transcriptomics (ST) is a method that allows for comprehensive tissue analysis and the acquisition of spatially separated genetic information from individual cells, while preserving their spatial location and interactions. This approach also prevents the loss of fragile cells during tissue disaggregation. The emergence of ST technology allows us to spatially dissect enzymatic processes and interactions between multiple cells, genes, proteins and signals in the intestine. This includes the exchange of oxygen and nutrients in the intestine, different gradients of microbial populations and the role of extracellular matrix proteins. This regionally precise approach to tissue studies is gaining more acceptance and is increasingly applied in the investigation of disease mechanisms related to the gastrointestinal tract. Therefore, this review summarized the application of ST in gastrointestinal diseases.
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Affiliation(s)
- Yajing Guo
- School of Clinical Medicine, Chengdu University of Traditional Chinese Medicine, Chengdu, Sichuan 610075, P.R. China
| | - Chao Ren
- Graduate School, Hunan University of Traditional Chinese Medicine, Changsha, Hunan 410208, P.R. China
| | - Yuxi He
- Department of Digestive Medicine, Chongqing City Hospital of Traditional Chinese Medicine, Chongqing 400021, P.R. China
| | - Yue Wu
- Department of Digestive Medicine, Chongqing City Hospital of Traditional Chinese Medicine, Chongqing 400021, P.R. China
| | - Xiaojun Yang
- Department of Digestive Medicine, Chongqing City Hospital of Traditional Chinese Medicine, Chongqing 400021, P.R. China
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4
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Yazicioglu YF, Mitchell RJ, Clarke AJ. Mitochondrial control of lymphocyte homeostasis. Semin Cell Dev Biol 2024; 161-162:42-53. [PMID: 38608498 DOI: 10.1016/j.semcdb.2024.03.002] [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: 11/03/2023] [Revised: 03/11/2024] [Accepted: 03/26/2024] [Indexed: 04/14/2024]
Abstract
Mitochondria play a multitude of essential roles within mammalian cells, and understanding how they control immunity is an emerging area of study. Lymphocytes, as integral cellular components of the adaptive immune system, rely on mitochondria for their function, and mitochondria can dynamically instruct their differentiation and activation by undergoing rapid and profound remodelling. Energy homeostasis and ATP production are often considered the primary functions of mitochondria in immune cells; however, their importance extends across a spectrum of other molecular processes, including regulation of redox balance, signalling pathways, and biosynthesis. In this review, we explore the dynamic landscape of mitochondrial homeostasis in T and B cells, and discuss how mitochondrial disorders compromise adaptive immunity.
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5
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Yang H, Zhou C, Nie S, Xu S, Li M, Yu Q, Wei Y, Wang X. Anti-ulcerative colitis effect of rotating magnetic field on DSS-induced mice by modulating colonic inflammatory deterioration. Mol Immunol 2024; 172:23-37. [PMID: 38865801 DOI: 10.1016/j.molimm.2024.05.011] [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: 03/25/2024] [Revised: 05/15/2024] [Accepted: 05/29/2024] [Indexed: 06/14/2024]
Abstract
Ulcerative colitis (UC) is a prevalent inflammatory disorder that emerges in the colon and rectum, exhibiting a rising global prevalence and seriously impacting the physical and mental health of patients. Significant challenges remain in UC treatment, highlighting the need for safe and effective long-term therapeutic approaches. Heralded as a promising physical treatment, the rotating magnetic field (RMF) demonstrates safety, stability, manageability, and efficiency. This study delves into RMF's potential in mitigating DSS-induced UC in mice, assessing disease activity indices (DAI) and pathological alterations such as daily body weight, fecal occult blood, colon length, and morphological changes. Besides, several indexes have been detected, including serum concentrations of pro-inflammatory cytokines (IL6, IL-17A, TNF-α, IFN-γ) and anti-inflammatory cytokines (TGF-β, IL-4, IL-10), the ratio of splenic CD3+, CD4+, and CD8+ T cells, the rate of apoptotic colonic cells, the expression of colonic inflammatory and tight junction-associated proteins. The results showed that RMF had beneficial effects on the decrease of intestinal permeability, the restoration of tight junctions, and the mitigation of mitochondrial respiratory complexes (MRCs) by attenuating inflammatory dysfunction in colons of DSS-induced UC model of mice. In conclusion, this study demonstrates that RMF attenuates colonic inflammation, enhances colonic tight junction, and alleviates MRCs impairment by regulating the equilibrium of pro-inflammatory and anti-inflammatory cytokines in UC mice, suggesting the potential application of RMF in the clinical treatment of UC.
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Affiliation(s)
- Hua Yang
- Department of Physiology, School of Basic Medical Sciences, Shenzhen University Medical School, Shenzhen University, Shenzhen 518055, China; International Cancer Center, Shenzhen University Medical School, Shenzhen University, Shenzhen, Guangdong 518055, China
| | - Cai Zhou
- Department of Physiology, School of Basic Medical Sciences, Shenzhen University Medical School, Shenzhen University, Shenzhen 518055, China
| | - Shenglan Nie
- Department of Physiology, School of Basic Medical Sciences, Shenzhen University Medical School, Shenzhen University, Shenzhen 518055, China
| | - Shuling Xu
- School of Pharmacy, School of Basic Medical Sciences, Shenzhen University Medical School, Shenzhen University, Shenzhen 518055, China
| | - Mengqing Li
- Department of Physiology, School of Basic Medical Sciences, Shenzhen University Medical School, Shenzhen University, Shenzhen 518055, China
| | - Qinyao Yu
- School of Pharmacy, School of Basic Medical Sciences, Shenzhen University Medical School, Shenzhen University, Shenzhen 518055, China
| | - Yunpeng Wei
- Department of Physiology, School of Basic Medical Sciences, Shenzhen University Medical School, Shenzhen University, Shenzhen 518055, China.
| | - Xiaomei Wang
- Department of Physiology, School of Basic Medical Sciences, Shenzhen University Medical School, Shenzhen University, Shenzhen 518055, China; International Cancer Center, Shenzhen University Medical School, Shenzhen University, Shenzhen, Guangdong 518055, China; School of Pharmacy, School of Basic Medical Sciences, Shenzhen University Medical School, Shenzhen University, Shenzhen 518055, China.
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6
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Yu XD, Yan SS, Liu RJ, Zhang YS. Apparent differences in prostate zones: susceptibility to prostate cancer, benign prostatic hyperplasia and prostatitis. Int Urol Nephrol 2024; 56:2451-2458. [PMID: 38528290 DOI: 10.1007/s11255-024-04012-w] [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: 01/14/2024] [Accepted: 02/27/2024] [Indexed: 03/27/2024]
Abstract
Men are inevitably plagued by prostate disease throughout their lives. However, the understanding of the pathogenesis of prostate diseases is still limited. In the 1960s, McNeal proposed the theory of prostate zones: the prostate was divided into three main zones: transition zone, central zone, and peripheral zone. Over the past 50 years, significant differences between different prostate zones have been gradually revealed. We summarized the most significant differences in different zones of the prostate. For the first time, we proposed the "apparent difference in prostate zones" concept. This new concept has been proposed to understand the different zones of the prostate better. It also provided new ideas for exploring the susceptibility of lesions in different prostate zones. Despite the reported differences between zones, the treatment of prostate-related diseases remains partition agnostic. Therefore, we also discussed the clinical significance of the "apparent difference in the prostate zone" and emphasized the necessity of prostate zones.
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Affiliation(s)
- Xu-Dong Yu
- Dongzhimen Hospital, Beijing University of Chinese Medicine, Beijing, China
- Beijing Tumour Minimally Invasive Medical Center of Integrated Traditional Chinese and Western Medicine, Beijing, China
| | - Shao-Shuai Yan
- Dongzhimen Hospital, Beijing University of Chinese Medicine, Beijing, China
| | - Rui-Jia Liu
- Dongzhimen Hospital, Beijing University of Chinese Medicine, Beijing, China
| | - Yao-Sheng Zhang
- Dongzhimen Hospital, Beijing University of Chinese Medicine, Beijing, China.
- Beijing Tumour Minimally Invasive Medical Center of Integrated Traditional Chinese and Western Medicine, Beijing, China.
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7
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Sayers I, John C, Chen J, Hall IP. Genetics of chronic respiratory disease. Nat Rev Genet 2024; 25:534-547. [PMID: 38448562 DOI: 10.1038/s41576-024-00695-0] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Accepted: 01/19/2024] [Indexed: 03/08/2024]
Abstract
Chronic respiratory diseases, such as chronic obstructive pulmonary disease (COPD), asthma and interstitial lung diseases are frequently occurring disorders with a polygenic basis that account for a large global burden of morbidity and mortality. Recent large-scale genetic epidemiology studies have identified associations between genetic variation and individual respiratory diseases and linked specific genetic variants to quantitative traits related to lung function. These associations have improved our understanding of the genetic basis and mechanisms underlying common lung diseases. Moreover, examining the overlap between genetic associations of different respiratory conditions, along with evidence for gene-environment interactions, has yielded additional biological insights into affected molecular pathways. This genetic information could inform the assessment of respiratory disease risk and contribute to stratified treatment approaches.
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Affiliation(s)
- Ian Sayers
- NIHR Nottingham Biomedical Research Centre, University of Nottingham, University Park, Nottingham, UK
- Biodiscovery Institute, School of Medicine, University of Nottingham, University Park, Nottingham, UK
| | - Catherine John
- University of Leicester, Leicester, UK
- University Hospitals of Leicester, Leicester, UK
| | - Jing Chen
- University of Leicester, Leicester, UK
| | - Ian P Hall
- NIHR Nottingham Biomedical Research Centre, University of Nottingham, University Park, Nottingham, UK.
- Biodiscovery Institute, School of Medicine, University of Nottingham, University Park, Nottingham, UK.
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8
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Lu M, Dai S, Dai G, Wang T, Zhang S, Wei L, Luo M, Zhou X, Wang H, Xu D. Dexamethasone induces developmental axon damage in the offspring hippocampus by activating miR-210-3p/miR-362-5p to target the aberrant expression of Sonic Hedgehog. Biochem Pharmacol 2024; 226:116330. [PMID: 38815627 DOI: 10.1016/j.bcp.2024.116330] [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: 12/21/2023] [Revised: 05/17/2024] [Accepted: 05/28/2024] [Indexed: 06/01/2024]
Abstract
Given the extensive application of dexamethasone in both clinical settings and the livestock industry, human exposure to this drug can occur through various sources and pathways. Prior research has indicated that prenatal exposure to dexamethasone (PDE) heightens the risk of cognitive and emotional disorders in offspring. Axonal development impairment is a frequent pathological underpinning for neuronal dysfunction in these disorders, yet it remains unclear if it plays a role in the neural damage induced by PDE in the offspring. Through RNA-seq and bioinformatics analysis, we found that various signaling pathways related to nervous system development, including axonal development, were altered in the hippocampus of PDE offspring. Among them, the Sonic Hedgehog (SHH) signaling pathway was the most significantly altered and crucial for axonal development. By using miRNA-seq and targeting miRNAs and glucocorticoid receptor (GR) expression, we identified miR-210-3p and miR-362-5p, which can target and suppress SHH expression. Their abnormal high expression was associated with GR activation in PDE fetal rats. Further testing of PDE offspring rats and infant peripheral blood samples exposed to dexamethasone in utero showed that SHH expression was significantly decreased in peripheral blood mononuclear cells (PBMCs) and was positively correlated with SHH expression in the hippocampus and the expression of the axonal development marker growth-associated protein-43. In summary, PDE-induced hippocampal GR-miR-210-3p/miR-362-5p-SHH signaling axis changes lead to axonal developmental damage. SHH expression in PBMCs may reflect axonal developmental damage in PDE offspring and could serve as a warning marker for fetal axonal developmental damage.
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Affiliation(s)
- Mengxi Lu
- Department of Obstetric, Zhongnan Hospital of Wuhan University, School of Pharmaceutical Sciences, Wuhan University, Wuhan 430071, China
| | - Shiyun Dai
- Department of Obstetric, Zhongnan Hospital of Wuhan University, School of Pharmaceutical Sciences, Wuhan University, Wuhan 430071, China; National Health Commission Key Laboratory of Clinical Research for Cardiovascular Medications, Fuwai Hospital, Chinese Academy of Medical Sciences and Peking Union Medical College, Beijing, China
| | - Gaole Dai
- Department of Obstetric, Zhongnan Hospital of Wuhan University, School of Pharmaceutical Sciences, Wuhan University, Wuhan 430071, China
| | - Tingting Wang
- Department of Obstetric, Zhongnan Hospital of Wuhan University, School of Pharmaceutical Sciences, Wuhan University, Wuhan 430071, China
| | - Shuai Zhang
- Department of Obstetric, Zhongnan Hospital of Wuhan University, School of Pharmaceutical Sciences, Wuhan University, Wuhan 430071, China
| | - Liyi Wei
- Department of Obstetric, Zhongnan Hospital of Wuhan University, School of Pharmaceutical Sciences, Wuhan University, Wuhan 430071, China
| | - Mingcui Luo
- Department of Obstetric, Zhongnan Hospital of Wuhan University, School of Pharmaceutical Sciences, Wuhan University, Wuhan 430071, China
| | - Xinli Zhou
- Department of Pharmacology, School of Basic Medical Sciences, Wuhan University, Wuhan 430071, China
| | - Hui Wang
- Department of Pharmacology, School of Basic Medical Sciences, Wuhan University, Wuhan 430071, China; Hubei Provincial Key Laboratory of Developmentally Originated Disease, Wuhan 430071, China
| | - Dan Xu
- Department of Obstetric, Zhongnan Hospital of Wuhan University, School of Pharmaceutical Sciences, Wuhan University, Wuhan 430071, China; Hubei Provincial Key Laboratory of Developmentally Originated Disease, Wuhan 430071, China.
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9
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Chen Y, Liang Z, Lai M. Targeting the devil: Strategies against cancer-associated fibroblasts in colorectal cancer. Transl Res 2024; 270:81-93. [PMID: 38614213 DOI: 10.1016/j.trsl.2024.04.003] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 01/30/2024] [Revised: 04/06/2024] [Accepted: 04/10/2024] [Indexed: 04/15/2024]
Abstract
Cancer-associated fibroblasts (CAFs), as significant constituents of the tumor microenvironment (TME), play a pivotal role in the progression of cancers, including colorectal cancer (CRC). In this comprehensive review, we presented the origins and activation mechanisms of CAFs in CRC, elaborating on how CAFs drive tumor progression through their interactions with CRC cells, immune cells, vascular endothelial cells, and the extracellular matrix within the TME. We systematically outline the intricate web of interactions among CAFs, tumor cells, and other TME components, and based on this complex interplay, we summarize various therapeutic strategies designed to target CAFs in CRC. It is also essential to recognize that CAFs represent a highly heterogeneous group, encompassing various subtypes such as myofibroblastic CAF (myCAF), inflammatory CAF (iCAF), antigen-presenting CAF (apCAF), vessel-associated CAF (vCAF). Herein, we provide a summary of studies investigating the heterogeneity of CAFs in CRC and the characteristic expression patterns of each subtype. While the majority of CAFs contribute to the exacerbation of CRC malignancy, recent findings have revealed specific subtypes that exert inhibitory effects on CRC progression. Nevertheless, the comprehensive landscape of CAF heterogeneity still awaits exploration. We also highlight pivotal unanswered questions that need to be addressed before CAFs can be recognized as feasible targets for cancer treatment. In conclusion, the aim of our review is to elucidate the significance and challenges of advancing in-depth research on CAFs, while outlining the pathway to uncover the complex roles of CAFs in CRC and underscore their significant potential as therapeutic targets.
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Affiliation(s)
- Yuting Chen
- Department of Pathology, and Department of Pathology of Sir Run Run Shaw Hospital, Research Unit of Intelligence Classification of Tumor Pathology and Precision Therapy of Chinese Academy of Medical Sciences (2019RU042), Zhejiang University School of Medicine, Hangzhou, 310058, China; Department of Pathology, State Key Laboratory of Complex Severe and Rare Disease, Molecular Pathology Research Center, Peking Union Medical College Hospital, Chinese Academy of Medical Sciences and Peking Union Medical College, Beijing, 100730, China; Key Laboratory of Disease Proteomics of Zhejiang Province, Department of Pathology, School of Medicine, Zhejiang University, Hangzhou, Zhejiang, 310058, China
| | - Zhiyong Liang
- Department of Pathology, State Key Laboratory of Complex Severe and Rare Disease, Molecular Pathology Research Center, Peking Union Medical College Hospital, Chinese Academy of Medical Sciences and Peking Union Medical College, Beijing, 100730, China
| | - Maode Lai
- Department of Pathology, and Department of Pathology of Sir Run Run Shaw Hospital, Research Unit of Intelligence Classification of Tumor Pathology and Precision Therapy of Chinese Academy of Medical Sciences (2019RU042), Zhejiang University School of Medicine, Hangzhou, 310058, China; Key Laboratory of Disease Proteomics of Zhejiang Province, Department of Pathology, School of Medicine, Zhejiang University, Hangzhou, Zhejiang, 310058, China.
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10
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Heindryckx F, Sjöblom M. Endoplasmic reticulum stress in the pathogenesis of chemotherapy-induced mucositis: Physiological mechanisms and therapeutic implications. Acta Physiol (Oxf) 2024; 240:e14188. [PMID: 38874396 DOI: 10.1111/apha.14188] [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: 04/04/2024] [Revised: 05/24/2024] [Accepted: 05/29/2024] [Indexed: 06/15/2024]
Abstract
Chemotherapy is a common and effective treatment for cancer, but these drugs are also associated with significant side effects affecting patients' well-being. One such debilitating side effect is mucositis, characterized by inflammation, ulcerations, and altered physiological functions of the gastrointestinal (GI) tract's mucosal lining. Understanding the mechanisms of chemotherapy-induced intestinal mucositis (CIM) is crucial for developing effective preventive measures and supportive care. Chemotherapeutics not only target cancer cells but also rapidly dividing cells in the GI tract. These drugs disrupt endoplasmic reticulum (ER) homeostasis, leading to ER-stress and activation of the unfolded protein response (UPR) in various intestinal epithelial cell types. The UPR triggers signaling pathways that exacerbate tissue inflammation and damage, influence the differentiation and fate of intestinal epithelial cells, and compromise the integrity of the intestinal mucosal barrier. These factors contribute significantly to mucositis development and progression. In this review, we aim to give an in-depth overview of the role of ER-stress in mucositis and its impact on GI function. This will provide valuable insights into the underlying mechanisms and highlighting potential therapeutic interventions that could improve treatment-outcomes and the quality of life of cancer patients.
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Affiliation(s)
- Femke Heindryckx
- Department of Medical Cell Biology, Uppsala University, Uppsala, Sweden
| | - Markus Sjöblom
- Department of Medical Cell Biology, Uppsala University, Uppsala, Sweden
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Zhou Z, Li T, Li J, Lin W, Zheng Q. Exosomal transfer of HCC-derived miR-17-5p downregulates NK cell function by targeting RUNX1-NKG2D axis. Int Immunopharmacol 2024; 136:112361. [PMID: 38820961 DOI: 10.1016/j.intimp.2024.112361] [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: 03/11/2024] [Revised: 05/06/2024] [Accepted: 05/26/2024] [Indexed: 06/02/2024]
Abstract
OBJECTIVE Natural killer (NK) cells are an integral part of the staunch defense line against malignant tumors within the tumor microenvironment. Existing research indicates that miRNAs can influence the development of NK cells by negatively modulating gene expression. In this study, we aim to explore how the miR-17-5p in Hepatocellular Carcinoma (HCC) exosomes regulates the killing function of NK cells towards HCC cells through the transcription factor RNX1. METHODS The exosomes were isolated from HCC tissues and cell lines, followed by a second generation sequencing to compare differential miRNAs. Verification was performed using qRT-PCR and Western blot methods. The mutual interactions between miR-17-5p and RUNX1, as well as between RUNX1 and NKG2D, were authenticated using techniques like luciferase reporter gene assays, Western blotting, and Chromatin Immunoprecipitation (ChIP). The cytotoxic activity of NK cells towards HCC cells in vitro was measured using methods such as RTCA and ELISPOT. The zebrafish xenotransplantation was utilized to assess the in vivo killing capacity of NK cells against HCC cells. RESULTS The level of miR-17-5p in exosomes from HCC tissue increased compared to adjacent tissues. We verified that RUNX1 was a target of miR-17-5p and that RUNX1 enhances the transcription of NKG2D. MiR-17-5p was found to downregulate the expression of RUNX1 and NKG2D, subsequently reducing the in vitro and in vivo cytotoxic capabilities of NK cells against HCC cells. CONCLUSIONS The miR-17-5p found within HCC exosomes can target RUNX1, subsequently attenuating the cytotoxic activity of NK cells.
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Affiliation(s)
- Zhifeng Zhou
- Laboratory of Immuno-Oncology, Clinical Oncology School of Fujian Medical University, Fujian Cancer Hospital, Fuzhou 350014, China; School of Basic Medical Sciences, Fujian Medical University, Fuzhu, Fujian, China
| | - Tianchuan Li
- Department of Integrated Traditional and Western Medicine, Clinical Oncology School of Fujian Medical University, Fujian Cancer Hospital, Fuzhou 350014, China
| | - Jieyu Li
- Laboratory of Immuno-Oncology, Clinical Oncology School of Fujian Medical University, Fujian Cancer Hospital, Fuzhou 350014, China; School of Basic Medical Sciences, Fujian Medical University, Fuzhu, Fujian, China
| | - Wansong Lin
- Laboratory of Immuno-Oncology, Clinical Oncology School of Fujian Medical University, Fujian Cancer Hospital, Fuzhou 350014, China; School of Basic Medical Sciences, Fujian Medical University, Fuzhu, Fujian, China.
| | - Qingfeng Zheng
- Department of Thoracic Surgery, Clinical Oncology School of Fujian Medical University, Fujian Cancer Hospital, Fuzhou 350014, China.
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12
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Abedi Kichi Z, Dini N, Rojhannezhad M, Shirvani Farsani Z. Noncoding RNAs in B cell non-Hodgkins lymphoma. Gene 2024; 917:148480. [PMID: 38636814 DOI: 10.1016/j.gene.2024.148480] [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: 01/05/2024] [Revised: 04/07/2024] [Accepted: 04/15/2024] [Indexed: 04/20/2024]
Abstract
B-cell non-Hodgkins lymphomas (BCNHLs) are a category of B-cell cancers that show heterogeneity. These blood disorders are derived from different levels of B-cell maturity. Among NHL cases, ∼80-90 % are derived from B-cells. Recent studies have demonstrated that noncoding RNAs (ncRNAs) contribute to almost all parts of mechanisms and are essential in tumorigenesis, including B-cell non-Hodgkins lymphomas. The study of ncRNA dysregulations in B-cell lymphoma unravels important mysteries in lymphoma's molecular etiology. It seems also necessary for discovering novel trials as well as investigating the potential of ncRNAs as markers for their diagnosis and prognosis. In the current study, we summarize the role of ncRNAs involving miRNAs, long noncoding RNAs, as well as circular RNAs in the development or progression of BCNHLs.
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Affiliation(s)
- Zahra Abedi Kichi
- Department of Genetics, Faculty of Biological Sciences, Tarbiat Modares University, Tehran, IR Iran; Institute for Cardiovascular Prevention (IPEK), Ludwig-Maximilians University Munich, Germany
| | - Niloofar Dini
- Department of Cell and Molecular Biology, Faculty of Life Sciences and Biotechnology, Shahid Beheshti University, Tehran, Iran
| | - Mahbubeh Rojhannezhad
- Department of Genetics, Faculty of Biological Sciences, Tarbiat Modares University, Tehran, IR Iran
| | - Zeinab Shirvani Farsani
- Department of Cell and Molecular Biology, Faculty of Life Sciences and Biotechnology, Shahid Beheshti University, Tehran, Iran.
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13
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Huang L, Hu W, Huang LQ, Zhou QX, Song ZY, Tao HY, Xu B, Zhang CY, Wang Y, Xing XH. "Two-birds-one-stone" oral nanotherapeutic designed to target intestinal integrins and regulate redox homeostasis for UC treatment. SCIENCE ADVANCES 2024; 10:eado7438. [PMID: 39047093 DOI: 10.1126/sciadv.ado7438] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [MESH Headings] [Track Full Text] [Subscribe] [Scholar Register] [Received: 02/19/2024] [Accepted: 06/18/2024] [Indexed: 07/27/2024]
Abstract
Designing highly efficient orally administrated nanotherapeutics with specific inflammatory site-targeting functions in the gastrointestinal tract for ulcerative colitis (UC) management is a noteworthy challenge. Here, we focused on exploring a specific targeting oral nanotherapy, serving as "one stone," for the directed localization of inflammation and the regulation of redox homeostasis, thereby achieving effects against "two birds" for UC treatment. Our designed nanotherapeutic agent OPNs@LMWH (oxidation-sensitive ε-polylysine nanoparticles at low-molecular weight heparin) exhibited specific active targeting effects and therapeutic efficacy simultaneously. Our results indicate that OPNs@LMWH had high integrin αM-mediated immune cellular uptake efficiency and preferentially accumulated in inflamed tissues. We also confirmed its effectiveness in the treatment experiment of colitis in mice by ameliorating oxidative stress and inhibiting the activation of inflammation-associated signaling pathways while simultaneously bolstering the protective mechanisms of the colonic epithelium. Overall, these findings underscore the compelling dual functionalities of OPNs@LMWH, which enable effective oral delivery to inflamed sites, thereby facilitating precise UC management.
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Affiliation(s)
- Long Huang
- Institute of Biochemical Engineering, Department of Chemical Engineering, Tsinghua University, Beijing 100084, China
- Institute of Biopharmaceutical and Health Engineering, Shenzhen International Graduate School, Tsinghua University, Shenzhen 518055, China
| | - Wei Hu
- Institute of Biopharmaceutical and Health Engineering, Shenzhen International Graduate School, Tsinghua University, Shenzhen 518055, China
| | - Long Qun Huang
- Institute of Biochemical Engineering, Department of Chemical Engineering, Tsinghua University, Beijing 100084, China
| | - Qin Xuan Zhou
- Institute of Biopharmaceutical and Health Engineering, Shenzhen International Graduate School, Tsinghua University, Shenzhen 518055, China
| | - Zheng Yang Song
- Institute of Biopharmaceutical and Health Engineering, Shenzhen International Graduate School, Tsinghua University, Shenzhen 518055, China
| | - Heng Yu Tao
- Institute of Biopharmaceutical and Health Engineering, Shenzhen International Graduate School, Tsinghua University, Shenzhen 518055, China
| | - Bing Xu
- Institute of Biomedical Health Technology and Engineering, Shenzhen Bay Laboratory, Shenzhen 518118, China
| | - Can Yang Zhang
- Institute of Biopharmaceutical and Health Engineering, Shenzhen International Graduate School, Tsinghua University, Shenzhen 518055, China
| | - Yi Wang
- Institute of Biochemical Engineering, Department of Chemical Engineering, Tsinghua University, Beijing 100084, China
| | - Xin-Hui Xing
- Institute of Biochemical Engineering, Department of Chemical Engineering, Tsinghua University, Beijing 100084, China
- Institute of Biopharmaceutical and Health Engineering, Shenzhen International Graduate School, Tsinghua University, Shenzhen 518055, China
- Institute of Biomedical Health Technology and Engineering, Shenzhen Bay Laboratory, Shenzhen 518118, China
- Center for Synthetic and Systems Biology, Tsinghua University, Beijing 100084, China
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14
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Chen J, Larsson L, Swarbrick A, Lundeberg J. Spatial landscapes of cancers: insights and opportunities. Nat Rev Clin Oncol 2024:10.1038/s41571-024-00926-7. [PMID: 39043872 DOI: 10.1038/s41571-024-00926-7] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Accepted: 06/28/2024] [Indexed: 07/25/2024]
Abstract
Solid tumours comprise many different cell types organized in spatially structured arrangements, with substantial intratumour and intertumour heterogeneity. Advances in spatial profiling technologies over the past decade hold promise to capture the complexity of these cellular architectures to build a holistic view of the intricate molecular mechanisms that shape the tumour ecosystem. Some of these mechanisms act at the cellular scale and are controlled by cell-autonomous programmes or communication between nearby cells, whereas other mechanisms result from coordinated efforts between large networks of cells and extracellular molecules organized into tissues and organs. In this Review we provide insights into the application of single-cell and spatial profiling tools, with a focus on spatially resolved transcriptomic tools developed to understand the cellular architecture of the tumour microenvironment and identify opportunities to use them to improve clinical management of cancers.
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Affiliation(s)
- Julia Chen
- Cancer Ecosystems Program, Garvan Institute of Medical Research, Sydney, New South Wales, Australia
- School of Clinical Medicine, Faculty of Medicine and Health, University of New South Wales, Sydney, New South Wales, Australia
- Department of Medical Oncology, St George Hospital, Sydney, New South Wales, Australia
| | - Ludvig Larsson
- Department of Gene Technology, KTH Royal Institute of Technology, Science for Life Laboratory, Stockholm, Sweden
| | - Alexander Swarbrick
- Cancer Ecosystems Program, Garvan Institute of Medical Research, Sydney, New South Wales, Australia.
- School of Clinical Medicine, Faculty of Medicine and Health, University of New South Wales, Sydney, New South Wales, Australia.
| | - Joakim Lundeberg
- Department of Gene Technology, KTH Royal Institute of Technology, Science for Life Laboratory, Stockholm, Sweden.
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15
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Li MM, Huang Y, Sumathipala M, Liang MQ, Valdeolivas A, Ananthakrishnan AN, Liao K, Marbach D, Zitnik M. Contextual AI models for single-cell protein biology. Nat Methods 2024:10.1038/s41592-024-02341-3. [PMID: 39039335 DOI: 10.1038/s41592-024-02341-3] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 08/17/2023] [Accepted: 06/10/2024] [Indexed: 07/24/2024]
Abstract
Understanding protein function and developing molecular therapies require deciphering the cell types in which proteins act as well as the interactions between proteins. However, modeling protein interactions across biological contexts remains challenging for existing algorithms. Here we introduce PINNACLE, a geometric deep learning approach that generates context-aware protein representations. Leveraging a multiorgan single-cell atlas, PINNACLE learns on contextualized protein interaction networks to produce 394,760 protein representations from 156 cell type contexts across 24 tissues. PINNACLE's embedding space reflects cellular and tissue organization, enabling zero-shot retrieval of the tissue hierarchy. Pretrained protein representations can be adapted for downstream tasks: enhancing 3D structure-based representations for resolving immuno-oncological protein interactions, and investigating drugs' effects across cell types. PINNACLE outperforms state-of-the-art models in nominating therapeutic targets for rheumatoid arthritis and inflammatory bowel diseases and pinpoints cell type contexts with higher predictive capability than context-free models. PINNACLE's ability to adjust its outputs on the basis of the context in which it operates paves the way for large-scale context-specific predictions in biology.
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Affiliation(s)
- Michelle M Li
- Department of Biomedical Informatics, Harvard Medical School, Boston, MA, USA
| | - Yepeng Huang
- Department of Biomedical Informatics, Harvard Medical School, Boston, MA, USA
| | - Marissa Sumathipala
- Department of Biomedical Informatics, Harvard Medical School, Boston, MA, USA
| | - Man Qing Liang
- Department of Biomedical Informatics, Harvard Medical School, Boston, MA, USA
| | - Alberto Valdeolivas
- Roche Pharma Research and Early Development, Pharmaceutical Sciences, Roche Innovation Center Basel, F. Hoffmann-La Roche Ltd, Basel, Switzerland
| | - Ashwin N Ananthakrishnan
- Department of Biomedical Informatics, Harvard Medical School, Boston, MA, USA
- Division of Gastroenterology, Massachusetts General Hospital, Boston, MA, USA
| | - Katherine Liao
- Department of Biomedical Informatics, Harvard Medical School, Boston, MA, USA
- Division of Rheumatology, Inflammation, and Immunity, Brigham and Women's Hospital, Boston, MA, USA
| | - Daniel Marbach
- Roche Pharma Research and Early Development, Pharmaceutical Sciences, Roche Innovation Center Basel, F. Hoffmann-La Roche Ltd, Basel, Switzerland
| | - Marinka Zitnik
- Department of Biomedical Informatics, Harvard Medical School, Boston, MA, USA.
- Kempner Institute for the Study of Natural and Artificial Intelligence, Harvard University, Allston, MA, USA.
- Broad Institute of MIT and Harvard, Cambridge, MA, USA.
- Harvard Data Science Initiative, Cambridge, MA, USA.
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16
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Qian C, Yang Q, Rotinen M, Huang R, Kim H, Gallent B, Yan Y, Cadaneanu R, Zhang B, Kaochar S, Freedland S, Posadas E, Ellis L, Di Vizio D, Morrissey C, Nelson P, Brady L, Murali R, Campbell M, Yang W, Knudsen B, Mostaghel E, Ye H, Garraway I, You S, Freeman M. ONECUT2 acts as a lineage plasticity driver in adenocarcinoma as well as neuroendocrine variants of prostate cancer. Nucleic Acids Res 2024; 52:7740-7760. [PMID: 38932701 PMCID: PMC11260453 DOI: 10.1093/nar/gkae547] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 02/02/2024] [Revised: 06/06/2024] [Accepted: 06/26/2024] [Indexed: 06/28/2024] Open
Abstract
Androgen receptor- (AR-) indifference is a mechanism of resistance to hormonal therapy in prostate cancer (PC). Here we demonstrate that ONECUT2 (OC2) activates resistance through multiple drivers associated with adenocarcinoma, stem-like and neuroendocrine (NE) variants. Direct OC2 gene targets include the glucocorticoid receptor (GR; NR3C1) and the NE splicing factor SRRM4, which are key drivers of lineage plasticity. Thus, OC2, despite its previously described NEPC driver function, can indirectly activate a portion of the AR cistrome through epigenetic activation of GR. Mechanisms by which OC2 regulates gene expression include promoter binding, enhancement of genome-wide chromatin accessibility, and super-enhancer reprogramming. Pharmacologic inhibition of OC2 suppresses lineage plasticity reprogramming induced by the AR signaling inhibitor enzalutamide. These results demonstrate that OC2 activation promotes a range of drug resistance mechanisms associated with treatment-emergent lineage variation in PC and support enhanced efforts to therapeutically target OC2 as a means of suppressing treatment-resistant disease.
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Affiliation(s)
- Chen Qian
- Departments of Urology and Biomedical Sciences, Samuel Oschin Comprehensive Cancer Institute, Cedars-Sinai Medical Center, Los Angeles, CA 90048, USA
| | - Qian Yang
- Departments of Urology and Computational Biomedicine, Samuel Oschin Comprehensive Cancer Institute, Cedars-Sinai Medical Center, Los Angeles, CA 90048, USA
| | - Mirja Rotinen
- Department of Health Sciences, Public University of Navarre, Pamplona, Navarra, Spain
| | - Rongrong Huang
- Department of Pathology and Laboratory Medicine, UCLA, Los Angeles, CA 90095, USA
| | - Hyoyoung Kim
- Departments of Urology and Computational Biomedicine, Samuel Oschin Comprehensive Cancer Institute, Cedars-Sinai Medical Center, Los Angeles, CA 90048, USA
| | - Brad Gallent
- Departments of Urology and Biomedical Sciences, Samuel Oschin Comprehensive Cancer Institute, Cedars-Sinai Medical Center, Los Angeles, CA 90048, USA
- Division of Medical Oncology, Department of Medicine, Cedars-Sinai Medical Center, Los Angeles, CA 90048, USA
| | - Yiwu Yan
- Departments of Urology and Biomedical Sciences, Samuel Oschin Comprehensive Cancer Institute, Cedars-Sinai Medical Center, Los Angeles, CA 90048, USA
| | - Radu M Cadaneanu
- Department of Surgical and Perioperative Care, VA Greater Los Angeles; Department of Urology and Jonsson Comprehensive Cancer Center, the David Geffen School of Medicine, UCLA, Box 951738, 10833 Le Conte Ave 66-188 CHS UCLA, Los Angeles, CA 90095, USA
| | - Baohui Zhang
- Department of Surgical and Perioperative Care, VA Greater Los Angeles; Department of Urology and Jonsson Comprehensive Cancer Center, the David Geffen School of Medicine, UCLA, Box 951738, 10833 Le Conte Ave 66-188 CHS UCLA, Los Angeles, CA 90095, USA
| | - Salma Kaochar
- Department of Medicine Section Hematology/Oncology Baylor College of Medicine, Houston, 77030 TX, USA
| | - Stephen J Freedland
- Departments of Urology and Biomedical Sciences, Samuel Oschin Comprehensive Cancer Institute, Cedars-Sinai Medical Center, Los Angeles, CA 90048, USA
| | - Edwin M Posadas
- Division of Medical Oncology, Department of Medicine, Cedars-Sinai Medical Center, Los Angeles, CA 90048, USA
| | - Leigh Ellis
- Center for Prostate Disease Research, Mutha Cancer Center Research Program, Department of Surgery, Uniformed Services University of the Health Sciences and the Walter Reed National Military Medical Center; The Henry M. Jackson Foundation for the Advancement of Military Medicine, Inc., Bethesda, MD 20814, USA
- Genitourinary Malignancies Branch, Center for Cancer Research, National Cancer Institute, Bethesda, MD 20892, USA
| | - Dolores Di Vizio
- Departments of Urology, Pathology and Laboratory Medicine, and Biomedical Sciences, Samuel Oschin Comprehensive Cancer Institute, Cedars-Sinai Medical Center, Los Angeles, CA 90048, USA
| | - Colm Morrissey
- Department of Urology, University of Washington, Seattle, WA 98195, USA
| | - Peter S Nelson
- Divisions of Human Biology and Clinical Research, Fred Hutchinson Cancer Center, Seattle, WA 98109, USA
| | - Lauren Brady
- Divisions of Human Biology and Clinical Research, Fred Hutchinson Cancer Center, Seattle, WA 98109, USA
| | - Ramachandran Murali
- Departments of Urology and Biomedical Sciences, Samuel Oschin Comprehensive Cancer Institute, Cedars-Sinai Medical Center, Los Angeles, CA 90048, USA
| | - Moray J Campbell
- Samuel Oschin Comprehensive Cancer Institute, Cedars-Sinai Medical Center, Los Angeles, CA 90048, USA
| | - Wei Yang
- Department of Pathology and Cancer Center, Stony Brook University, NY 11794, USA
| | - Beatrice S Knudsen
- Huntsman Cancer Institute, University of Utah, Salt Lake City, UT 84108, USA
- Department of Pathology, University of Utah, Salt Lake City, UT 84108, USA
| | - Elahe A Mostaghel
- Geriatric Research, Education and Clinical Center (GRECC), U.S. Department of Veterans Affairs Puget Sound Health Care System, Seattle, WA 98133, USA
| | - Huihui Ye
- Department of Pathology, Cedars-Sinai Medical Center, Los Angeles, CA 90048, USA
| | - Isla P Garraway
- Department of Surgical and Perioperative Care, VA Greater Los Angeles; Department of Urology and Jonsson Comprehensive Cancer Center, the David Geffen School of Medicine, UCLA, Box 951738, 10833 Le Conte Ave 66-188 CHS UCLA, Los Angeles, CA 90095, USA
| | - Sungyong You
- Departments of Urology and Computational Biomedicine, Samuel Oschin Comprehensive Cancer Institute, Cedars-Sinai Medical Center, Los Angeles, CA 90048, USA
| | - Michael R Freeman
- Departments of Urology and Biomedical Sciences, Samuel Oschin Comprehensive Cancer Institute, Cedars-Sinai Medical Center, Los Angeles, CA 90048, USA
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17
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Cao C, Yue S, Lu A, Liang C. Host-Gut Microbiota Metabolic Interactions and Their Role in Precision Diagnosis and Treatment of Gastrointestinal Cancers. Pharmacol Res 2024; 207:107321. [PMID: 39038631 DOI: 10.1016/j.phrs.2024.107321] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 02/24/2024] [Revised: 06/30/2024] [Accepted: 07/17/2024] [Indexed: 07/24/2024]
Abstract
The critical role of the gut microbiome in gastrointestinal cancers is becoming increasingly clear. Imbalances in the gut microbial community, referred to as dysbiosis, are linked to increased risks for various forms of gastrointestinal cancers. Pathogens like Fusobacterium and Helicobacter pylori relate to the onset of esophageal and gastric cancers, respectively, while microbes such as Porphyromonas gingivalis and Clostridium species have been associated with a higher risk of pancreatic cancer. In colorectal cancer, bacteria such as Fusobacterium nucleatum are known to stimulate the growth of tumor cells and trigger cancer-promoting pathways. On the other hand, beneficial microbes like Bifidobacteria offer a protective effect, potentially inhibiting the development of gastrointestinal cancers. The potential for therapeutic interventions that manipulate the gut microbiome is substantial, including strategies to engineer anti-tumor metabolites and employ microbiota-based treatments. Despite the progress in understanding the influence of the microbiome on gastrointestinal cancers, significant challenges remain in identifying and understanding the precise contributions of specific microbial species and their metabolic products. This knowledge is essential for leveraging the role of the gut microbiome in the development of precise diagnostics and targeted therapies for gastrointestinal cancers.
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Affiliation(s)
- Chunhao Cao
- Department of Systems Biology, School of Life Sciences, Southern University of Science and Technology, Shenzhen 518055, China; Institute of Integrated Bioinfomedicine and Translational Science (IBTS), School of Chinese Medicine, Hong Kong Baptist University, 999077, Hong Kong Special Administrative Region of China
| | - Siran Yue
- Department of Systems Biology, School of Life Sciences, Southern University of Science and Technology, Shenzhen 518055, China; Institute of Integrated Bioinfomedicine and Translational Science (IBTS), School of Chinese Medicine, Hong Kong Baptist University, 999077, Hong Kong Special Administrative Region of China
| | - Aiping Lu
- Institute of Integrated Bioinfomedicine and Translational Science (IBTS), School of Chinese Medicine, Hong Kong Baptist University, 999077, Hong Kong Special Administrative Region of China; Guangdong-Hong Kong-Macau Joint Lab on Chinese Medicine and Immune Disease Research, Guangzhou 510006, China; Shanghai University of Traditional Chinese Medicine, Shanghai 200032, China.
| | - Chao Liang
- Department of Systems Biology, School of Life Sciences, Southern University of Science and Technology, Shenzhen 518055, China; Institute of Integrated Bioinfomedicine and Translational Science (IBTS), School of Chinese Medicine, Hong Kong Baptist University, 999077, Hong Kong Special Administrative Region of China; State Key Laboratory of Proteomics, National Center for Protein Sciences (Beijing), Beijing Institute of Lifeomics, Beijing 100850, China.
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18
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Feng K, Cen J, Zou X, Zhang T. Novel insight into MDA-7/IL-24: A potent therapeutic target for autoimmune and inflammatory diseases. Clin Immunol 2024; 266:110322. [PMID: 39033900 DOI: 10.1016/j.clim.2024.110322] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 05/29/2024] [Revised: 07/02/2024] [Accepted: 07/11/2024] [Indexed: 07/23/2024]
Abstract
Melanoma differentiation-associated gene-7 (MDA-7)/interleukin-24 (IL-24) is a pleiotropic member of the IL-10 family of cytokines, and is involved in multiple biological processes, including cell proliferation, cell differentiation, tissue fibrosis, the inflammatory response, and antitumor activity. MDA-7/IL-24 can regulate epithelial integrity, homeostasis, mucosal immunity and host resistance to various pathogens by enhancing immune and inflammatory responses. Our recent study revealed the mechanism of MDA-7/IL-24 in promoting airway inflammation and airway remodeling through activating the JAK/STAT3 and ERK signaling pathways in bronchial epithelial cells. Herein, we summarize the cellular sources, inducers, target cells, signaling pathways, and biological effects of MDA-7/IL-24 in several allergic and autoimmune diseases. This review also synopsizes recent advances in clinical research targeting MDA-7/IL-24 or its receptors. Based on these advancements, we emphasize its potential as a target for immunotherapy and discuss the challenges of developing immunotherapeutic drugs targeting MDA-7/IL-24 or its receptors in autoimmune and inflammatory disorders.
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Affiliation(s)
- Kangni Feng
- Department of Pulmonary and Critical Care Medicine, the Third Affiliated Hospital of Sun Yat-sen University, Institute of Respiratory Disease of Sun Yat-sen University, Guangzhou, Guangdong Province 510630, China
| | - Jiemei Cen
- Department of Pulmonary and Critical Care Medicine, the Third Affiliated Hospital of Sun Yat-sen University, Institute of Respiratory Disease of Sun Yat-sen University, Guangzhou, Guangdong Province 510630, China
| | - Xiaoling Zou
- Department of Pulmonary and Critical Care Medicine, the Third Affiliated Hospital of Sun Yat-sen University, Institute of Respiratory Disease of Sun Yat-sen University, Guangzhou, Guangdong Province 510630, China
| | - Tiantuo Zhang
- Department of Pulmonary and Critical Care Medicine, the Third Affiliated Hospital of Sun Yat-sen University, Institute of Respiratory Disease of Sun Yat-sen University, Guangzhou, Guangdong Province 510630, China.
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19
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Wei TT, Blanc E, Peidli S, Bischoff P, Trinks A, Horst D, Sers C, Blüthgen N, Beule D, Morkel M, Obermayer B. High-confidence calling of normal epithelial cells allows identification of a novel stem-like cell state in the colorectal cancer microenvironment. Int J Cancer 2024. [PMID: 39031967 DOI: 10.1002/ijc.35079] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 02/28/2024] [Revised: 05/29/2024] [Accepted: 06/10/2024] [Indexed: 07/22/2024]
Abstract
Single-cell analyses can be confounded by assigning unrelated groups of cells to common developmental trajectories. For instance, cancer cells and admixed normal epithelial cells could adopt similar cell states thus complicating analyses of their developmental potential. Here, we develop and benchmark CCISM (for Cancer Cell Identification using Somatic Mutations) to exploit genomic single nucleotide variants for the disambiguation of cancer cells from genomically normal non-cancer cells in single-cell data. We find that our method and others based on gene expression or allelic imbalances identify overlapping sets of colorectal cancer versus normal colon epithelial cells, depending on molecular characteristics of individual cancers. Further, we define consensus cell identities of normal and cancer epithelial cells with higher transcriptome cluster homogeneity than those derived using existing tools. Using the consensus identities, we identify significant shifts of cell state distributions in genomically normal epithelial cells developing in the cancer microenvironment, with immature states increased at the expense of terminal differentiation throughout the colon, and a novel stem-like cell state arising in the left colon. Trajectory analyses show that the new cell state extends the pseudo-time range of normal colon stem-like cells in a cancer context. We identify cancer-associated fibroblasts as sources of WNT and BMP ligands potentially contributing to increased plasticity of stem cells in the cancer microenvironment. Our analyses advocate careful interpretation of cell heterogeneity and plasticity in the cancer context and the consideration of genomic information in addition to gene expression data when possible.
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Affiliation(s)
- Tzu-Ting Wei
- Core Unit Bioinformatics, Berlin Institute of Health at Charité - Universitätsmedizin Berlin, Berlin, Germany
| | - Eric Blanc
- Core Unit Bioinformatics, Berlin Institute of Health at Charité - Universitätsmedizin Berlin, Berlin, Germany
| | - Stefan Peidli
- Institute of Pathology, Charité - Universitätsmedizin Berlin, Freie Universität Berlin and Humboldt-Universität zu Berlin, Berlin, Germany
- Institute of Biology, Humboldt University of Berlin, Berlin, Germany
| | - Philip Bischoff
- Institute of Pathology, Charité - Universitätsmedizin Berlin, Freie Universität Berlin and Humboldt-Universität zu Berlin, Berlin, Germany
- BIH Biomedical Innovation Academy, BIH Charité Clinician Scientist Program, Berlin Institute of Health at Charité - Universitätsmedizin Berlin, Berlin, Germany
- German Cancer Consortium Partner Site Berlin, German Cancer Research Center, Heidelberg, Germany
| | - Alexandra Trinks
- Berlin Institute of Health at Charité - Universitätsmedizin Berlin, Core Unit Bioportal Single Cells, Berlin, Germany
| | - David Horst
- Institute of Pathology, Charité - Universitätsmedizin Berlin, Freie Universität Berlin and Humboldt-Universität zu Berlin, Berlin, Germany
- German Cancer Consortium Partner Site Berlin, German Cancer Research Center, Heidelberg, Germany
| | - Christine Sers
- Institute of Pathology, Charité - Universitätsmedizin Berlin, Freie Universität Berlin and Humboldt-Universität zu Berlin, Berlin, Germany
- German Cancer Consortium Partner Site Berlin, German Cancer Research Center, Heidelberg, Germany
| | - Nils Blüthgen
- Institute of Pathology, Charité - Universitätsmedizin Berlin, Freie Universität Berlin and Humboldt-Universität zu Berlin, Berlin, Germany
- Institute of Biology, Humboldt University of Berlin, Berlin, Germany
- German Cancer Consortium Partner Site Berlin, German Cancer Research Center, Heidelberg, Germany
| | - Dieter Beule
- Core Unit Bioinformatics, Berlin Institute of Health at Charité - Universitätsmedizin Berlin, Berlin, Germany
| | - Markus Morkel
- Institute of Pathology, Charité - Universitätsmedizin Berlin, Freie Universität Berlin and Humboldt-Universität zu Berlin, Berlin, Germany
- Institute of Biology, Humboldt University of Berlin, Berlin, Germany
- Berlin Institute of Health at Charité - Universitätsmedizin Berlin, Core Unit Bioportal Single Cells, Berlin, Germany
| | - Benedikt Obermayer
- Core Unit Bioinformatics, Berlin Institute of Health at Charité - Universitätsmedizin Berlin, Berlin, Germany
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20
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Yang J, Ding X, Fang Z, Wu S, Yuan M, Chen R, Xu Q, Gao X, Wu H, Chen L, Zheng X, Jiang J. Association of CD8 +TILs co-expressing granzyme A and interferon-γ with colon cancer cells in the tumor microenvironment. BMC Cancer 2024; 24:869. [PMID: 39030523 PMCID: PMC11265531 DOI: 10.1186/s12885-024-12605-y] [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: 05/15/2024] [Accepted: 07/04/2024] [Indexed: 07/21/2024] Open
Abstract
CD8+T cells secreting granzyme A (GZMA) can induce pyroptosis in tumor cells by effectively cleaving gasdermin B (GSDMB), which is stimulated by interferon-γ (IFN-γ). However, the interaction between GZMA-expressing CD8+T cells and GSDMB-expressing tumor cells in colon cancer remains poorly understood. Our research employed multi-color immunohistochemistry (mIHC) staining and integrated clinical data to explore the spatial distribution and clinical relevance of GZMA- and IFN-γ-expressing CD8+ tumor-infiltrating lymphocytes (TILs), as well as GSDMB-expressing CK+ cells, within the tumor microenvironment (TME) of human colon cancer samples. Additionally, we utilizing single-cell RNA sequencing (scRNA-seq) data to examine the functional dynamics and interactions among these cell populations. scRNA-seq analysis of colorectal cancer (CRC) tissues revealed that CD8+TILs co-expressed GZMA and IFN-γ, but not other cell types. Our mIHC staining results indicated that a significant reduction in the infiltration of GZMA+IFN-γ+CD8+TILs in colon cancer patients (P < 0.01). Functional analysis results indicated that GZMA+IFN-γ+CD8+TILs demonstrated enhanced activation and effector functions compared to other CD8+TIL subsets. Furthermore, GSDMB-expressing CK+ cells exhibited augmented immunogenicity. Correlation analysis highlighted a positive association between GSDMB+CK+ cells and GZMA+IFN-γ+CD8+TILs (r = 0.221, P = 0.033). Analysis of cell-cell interactions further showed that these interactions were mediated by IFN-γ and transforming growth factor-β (TGF-β), the co-stimulatory molecule ICOS, and immune checkpoint molecules TIGIT and TIM-3. These findings suggested that GZMA+IFN-γ+CD8+TILs modulating GSDMB-expressing tumor cells, significantly impacted the immune microenvironment and patients' prognosis in colon cancer. By elucidating these mechanisms, our present study aims to provide novel insights for the advancement of immunotherapeutic strategies in colon cancer.
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Affiliation(s)
- Jiayi Yang
- Department of Tumor Biological Treatment, the Third Affiliated Hospital of Soochow University, Jiangsu Changzhou, Jiangsu, 213003, China
- Jiangsu Engineering Research Center for Tumor Immunotherapy, the Third Affiliated Hospital of Soochow University, Changzhou, Jiangsu, 213003, China
- Institute of Cell Therapy, the Third Affiliated Hospital of Soochow University, Changzhou, Jiangsu, 213003, China
| | - Xinyi Ding
- Department of Tumor Biological Treatment, the Third Affiliated Hospital of Soochow University, Jiangsu Changzhou, Jiangsu, 213003, China
- Jiangsu Engineering Research Center for Tumor Immunotherapy, the Third Affiliated Hospital of Soochow University, Changzhou, Jiangsu, 213003, China
- Institute of Cell Therapy, the Third Affiliated Hospital of Soochow University, Changzhou, Jiangsu, 213003, China
| | - Zhang Fang
- Department of Tumor Biological Treatment, the Third Affiliated Hospital of Soochow University, Jiangsu Changzhou, Jiangsu, 213003, China
- Jiangsu Engineering Research Center for Tumor Immunotherapy, the Third Affiliated Hospital of Soochow University, Changzhou, Jiangsu, 213003, China
- Institute of Cell Therapy, the Third Affiliated Hospital of Soochow University, Changzhou, Jiangsu, 213003, China
| | - Shaoxian Wu
- Department of Tumor Biological Treatment, the Third Affiliated Hospital of Soochow University, Jiangsu Changzhou, Jiangsu, 213003, China
- Jiangsu Engineering Research Center for Tumor Immunotherapy, the Third Affiliated Hospital of Soochow University, Changzhou, Jiangsu, 213003, China
- Institute of Cell Therapy, the Third Affiliated Hospital of Soochow University, Changzhou, Jiangsu, 213003, China
| | - Maoling Yuan
- Department of Tumor Biological Treatment, the Third Affiliated Hospital of Soochow University, Jiangsu Changzhou, Jiangsu, 213003, China
- Jiangsu Engineering Research Center for Tumor Immunotherapy, the Third Affiliated Hospital of Soochow University, Changzhou, Jiangsu, 213003, China
- Institute of Cell Therapy, the Third Affiliated Hospital of Soochow University, Changzhou, Jiangsu, 213003, China
| | - Rongzhang Chen
- Department of Tumor Biological Treatment, the Third Affiliated Hospital of Soochow University, Jiangsu Changzhou, Jiangsu, 213003, China
- Jiangsu Engineering Research Center for Tumor Immunotherapy, the Third Affiliated Hospital of Soochow University, Changzhou, Jiangsu, 213003, China
- Institute of Cell Therapy, the Third Affiliated Hospital of Soochow University, Changzhou, Jiangsu, 213003, China
| | - Qinlan Xu
- Department of Gastroenterology, the Third Affiliated Hospital of Soochow University, Changzhou, Jiangsu, 213003, China
| | - Xinran Gao
- Department of Tumor Biological Treatment, the Third Affiliated Hospital of Soochow University, Jiangsu Changzhou, Jiangsu, 213003, China
- Jiangsu Engineering Research Center for Tumor Immunotherapy, the Third Affiliated Hospital of Soochow University, Changzhou, Jiangsu, 213003, China
- Institute of Cell Therapy, the Third Affiliated Hospital of Soochow University, Changzhou, Jiangsu, 213003, China
| | - Haoyu Wu
- Department of Tumor Biological Treatment, the Third Affiliated Hospital of Soochow University, Jiangsu Changzhou, Jiangsu, 213003, China
- Jiangsu Engineering Research Center for Tumor Immunotherapy, the Third Affiliated Hospital of Soochow University, Changzhou, Jiangsu, 213003, China
- Institute of Cell Therapy, the Third Affiliated Hospital of Soochow University, Changzhou, Jiangsu, 213003, China
| | - Lujun Chen
- Department of Tumor Biological Treatment, the Third Affiliated Hospital of Soochow University, Jiangsu Changzhou, Jiangsu, 213003, China.
- Jiangsu Engineering Research Center for Tumor Immunotherapy, the Third Affiliated Hospital of Soochow University, Changzhou, Jiangsu, 213003, China.
- Institute of Cell Therapy, the Third Affiliated Hospital of Soochow University, Changzhou, Jiangsu, 213003, China.
| | - Xiao Zheng
- Department of Tumor Biological Treatment, the Third Affiliated Hospital of Soochow University, Jiangsu Changzhou, Jiangsu, 213003, China.
- Jiangsu Engineering Research Center for Tumor Immunotherapy, the Third Affiliated Hospital of Soochow University, Changzhou, Jiangsu, 213003, China.
- Institute of Cell Therapy, the Third Affiliated Hospital of Soochow University, Changzhou, Jiangsu, 213003, China.
| | - Jingting Jiang
- Department of Tumor Biological Treatment, the Third Affiliated Hospital of Soochow University, Jiangsu Changzhou, Jiangsu, 213003, China.
- Jiangsu Engineering Research Center for Tumor Immunotherapy, the Third Affiliated Hospital of Soochow University, Changzhou, Jiangsu, 213003, China.
- Institute of Cell Therapy, the Third Affiliated Hospital of Soochow University, Changzhou, Jiangsu, 213003, China.
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21
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Ivancevic A, Simpson DM, Joyner OM, Bagby SM, Nguyen LL, Bitler BG, Pitts TM, Chuong EB. Endogenous retroviruses mediate transcriptional rewiring in response to oncogenic signaling in colorectal cancer. SCIENCE ADVANCES 2024; 10:eado1218. [PMID: 39018396 PMCID: PMC466953 DOI: 10.1126/sciadv.ado1218] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [MESH Headings] [Grants] [Track Full Text] [Subscribe] [Scholar Register] [Received: 01/17/2024] [Accepted: 06/13/2024] [Indexed: 07/19/2024]
Abstract
Cancer cells exhibit rewired transcriptional regulatory networks that promote tumor growth and survival. However, the mechanisms underlying the formation of these pathological networks remain poorly understood. Through a pan-cancer epigenomic analysis, we found that primate-specific endogenous retroviruses (ERVs) are a rich source of enhancers displaying cancer-specific activity. In colorectal cancer and other epithelial tumors, oncogenic MAPK/AP1 signaling drives the activation of enhancers derived from the primate-specific ERV family LTR10. Functional studies in colorectal cancer cells revealed that LTR10 elements regulate tumor-specific expression of multiple genes associated with tumorigenesis, such as ATG12 and XRCC4. Within the human population, individual LTR10 elements exhibit germline and somatic structural variation resulting from a highly mutable internal tandem repeat region, which affects AP1 binding activity. Our findings reveal that ERV-derived enhancers contribute to transcriptional dysregulation in response to oncogenic signaling and shape the evolution of cancer-specific regulatory networks.
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Affiliation(s)
- Atma Ivancevic
- BioFrontiers Institute and Department of Molecular, Cellular and Developmental Biology, University of Colorado Boulder, Boulder, CO, USA
| | - David M. Simpson
- BioFrontiers Institute and Department of Molecular, Cellular and Developmental Biology, University of Colorado Boulder, Boulder, CO, USA
| | - Olivia M. Joyner
- BioFrontiers Institute and Department of Molecular, Cellular and Developmental Biology, University of Colorado Boulder, Boulder, CO, USA
| | - Stacey M. Bagby
- Division of Medical Oncology, Department of Medicine, University of Colorado Anschutz Medical Campus, Aurora, CO, USA
| | - Lily L. Nguyen
- BioFrontiers Institute and Department of Molecular, Cellular and Developmental Biology, University of Colorado Boulder, Boulder, CO, USA
- Division of Reproductive Sciences, Department of Obstetrics and Gynecology, University of Colorado School of Medicine, Aurora, CO, USA
| | - Ben G. Bitler
- Division of Reproductive Sciences, Department of Obstetrics and Gynecology, University of Colorado School of Medicine, Aurora, CO, USA
| | - Todd M. Pitts
- Division of Medical Oncology, Department of Medicine, University of Colorado Anschutz Medical Campus, Aurora, CO, USA
| | - Edward B. Chuong
- BioFrontiers Institute and Department of Molecular, Cellular and Developmental Biology, University of Colorado Boulder, Boulder, CO, USA
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22
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Neale I, Reddy C, Tan ZY, Li B, Nag PP, Park J, Park J, Carey KL, Graham DB, Xavier RJ. Small-molecule probe for IBD risk variant GPR65 I231L alters cytokine signaling networks through positive allosteric modulation. SCIENCE ADVANCES 2024; 10:eadn2339. [PMID: 39028811 PMCID: PMC11259170 DOI: 10.1126/sciadv.adn2339] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [MESH Headings] [Grants] [Track Full Text] [Subscribe] [Scholar Register] [Received: 11/30/2023] [Accepted: 06/13/2024] [Indexed: 07/21/2024]
Abstract
The proton-sensing heterotrimeric guanine nucleotide-binding protein-coupled receptor GPR65 is expressed in immune cells and regulates tissue homeostasis in response to decreased extracellular pH, which occurs in the context of inflammation and tumorigenesis. Genome-wide association studies linked GPR65 to several autoimmune and inflammatory diseases such as multiple sclerosis and inflammatory bowel disease (IBD). The loss-of-function GPR65 I231L IBD risk variant alters cellular metabolism, impairs protective tissue functions, and increases proinflammatory cytokine production. Hypothesizing that a small molecule designed to potentiate GPR65 at subphysiological pH could decrease inflammatory responses, we found positive allosteric modulators of GPR65 that engage and activate both human and mouse orthologs of the receptor. We observed that the chemical probe BRD5075 alters cytokine and chemokine programs in dendritic cells, establishing that immune signaling can be modulated by targeting GPR65. Our investigation offers improved chemical probes to further interrogate the biology of human GPR65 and its clinically relevant genetic variants.
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Affiliation(s)
- Ilona Neale
- Broad Institute of MIT and Harvard, Cambridge, MA 02142, USA
| | - Clark Reddy
- Broad Institute of MIT and Harvard, Cambridge, MA 02142, USA
| | - Zher Yin Tan
- Broad Institute of MIT and Harvard, Cambridge, MA 02142, USA
- Department of Chemistry and Chemical Biology, Harvard University, Cambridge, MA 02138, USA
| | - Bihua Li
- Broad Institute of MIT and Harvard, Cambridge, MA 02142, USA
| | - Partha P. Nag
- Broad Institute of MIT and Harvard, Cambridge, MA 02142, USA
| | - Joshua Park
- Broad Institute of MIT and Harvard, Cambridge, MA 02142, USA
| | - Jihye Park
- Broad Institute of MIT and Harvard, Cambridge, MA 02142, USA
| | | | - Daniel B. Graham
- Broad Institute of MIT and Harvard, Cambridge, MA 02142, USA
- Center for Computational and Integrative Biology, Massachusetts General Hospital, Harvard Medical School, Boston, MA 02114, USA
- Department of Molecular Biology, Massachusetts General Hospital, Harvard Medical School, Boston, MA 02114, USA
| | - Ramnik J. Xavier
- Broad Institute of MIT and Harvard, Cambridge, MA 02142, USA
- Center for Computational and Integrative Biology, Massachusetts General Hospital, Harvard Medical School, Boston, MA 02114, USA
- Department of Molecular Biology, Massachusetts General Hospital, Harvard Medical School, Boston, MA 02114, USA
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23
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Missarova A, Dann E, Rosen L, Satija R, Marioni J. Leveraging neighborhood representations of single-cell data to achieve sensitive DE testing with miloDE. Genome Biol 2024; 25:189. [PMID: 39026254 PMCID: PMC11256449 DOI: 10.1186/s13059-024-03334-3] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 09/01/2023] [Accepted: 07/10/2024] [Indexed: 07/20/2024] Open
Abstract
Single-cell RNA-sequencing enables testing for differential expression (DE) between conditions at a cell type level. While powerful, one of the limitations of such approaches is that the sensitivity of DE testing is dictated by the sensitivity of clustering, which is often suboptimal. To overcome this, we present miloDE-a cluster-free framework for DE testing (available as an open-source R package). We illustrate the performance of miloDE on both simulated and real data. Using miloDE, we identify a transient hemogenic endothelia-like state in mouse embryos lacking Tal1 and detect distinct programs during macrophage activation in idiopathic pulmonary fibrosis.
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Affiliation(s)
- Alsu Missarova
- European Molecular Biology Laboratory, European Bioinformatics Institute, Wellcome Genome Campus, Cambridge, UK
- Cancer Research UK Cambridge Institute, University of Cambridge, Cambridge, UK
| | - Emma Dann
- Wellcome Sanger Institute, Wellcome Genome Campus, Hinxton, Cambridge, UK
| | - Leah Rosen
- European Molecular Biology Laboratory, European Bioinformatics Institute, Wellcome Genome Campus, Cambridge, UK
- Cancer Research UK Cambridge Institute, University of Cambridge, Cambridge, UK
| | - Rahul Satija
- Center for Genomics and Systems Biology, NYU, New York, USA.
- New York Genome Center, New York, USA.
| | - John Marioni
- European Molecular Biology Laboratory, European Bioinformatics Institute, Wellcome Genome Campus, Cambridge, UK.
- Cancer Research UK Cambridge Institute, University of Cambridge, Cambridge, UK.
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24
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Zebley CC, Zehn D, Gottschalk S, Chi H. T cell dysfunction and therapeutic intervention in cancer. Nat Immunol 2024:10.1038/s41590-024-01896-9. [PMID: 39025962 DOI: 10.1038/s41590-024-01896-9] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 04/12/2024] [Accepted: 06/12/2024] [Indexed: 07/20/2024]
Abstract
Recent advances in immunotherapy have affirmed the curative potential of T cell-based approaches for treating relapsed and refractory cancers. However, the therapeutic efficacy is limited in part owing to the ability of cancers to evade immunosurveillance and adapt to immunological pressure. In this Review, we provide a brief overview of cancer-mediated immunosuppressive mechanisms with a specific focus on the repression of the surveillance and effector function of T cells. We discuss CD8+ T cell exhaustion and functional heterogeneity and describe strategies for targeting the molecular checkpoints that restrict T cell differentiation and effector function to bolster immunotherapeutic effects. We also delineate the emerging contributions of the tumor microenvironment to T cell metabolism and conclude by highlighting discovery-based approaches for developing future cellular therapies. Continued exploration of T cell biology and engineering hold great promise for advancing therapeutic interventions for cancer.
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Affiliation(s)
- Caitlin C Zebley
- Department of Bone Marrow Transplantation and Cellular Therapy, St. Jude Children's Research Hospital, Memphis, TN, USA.
- Department of Immunology, St. Jude Children's Research Hospital, Memphis, TN, USA.
| | - Dietmar Zehn
- Division of Animal Physiology and Immunology, School of Life Sciences Weihenstephan and Center for Infection Prevention (ZIP), Technical University of Munich, Freising, Germany
| | - Stephen Gottschalk
- Department of Bone Marrow Transplantation and Cellular Therapy, St. Jude Children's Research Hospital, Memphis, TN, USA
| | - Hongbo Chi
- Department of Immunology, St. Jude Children's Research Hospital, Memphis, TN, USA.
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25
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Wang L, Wen X, Morrison J. Imperfect gold standard gene sets yield inaccurate evaluation of causal gene identification methods. Commun Biol 2024; 7:873. [PMID: 39020054 PMCID: PMC11255313 DOI: 10.1038/s42003-024-06482-1] [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: 11/17/2023] [Accepted: 06/21/2024] [Indexed: 07/19/2024] Open
Abstract
Causal gene discovery methods are often evaluated using reference sets of causal genes, which are treated as gold standards (GS) for the purposes of evaluation. However, evaluation methods typically treat genes not in the GS positive set as known negatives rather than unknowns. This leads to inaccurate estimates of sensitivity, specificity, and AUC. Labeling biases in GS gene sets can also lead to inaccurate ordering of alternative causal gene discovery methods. We argue that the evaluation of causal gene discovery methods should rely on statistical techniques like those used for variant discovery rather than on comparison with GS gene sets.
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Affiliation(s)
- Lijia Wang
- Department of Biostatistics, University of Michigan, Ann Arbor, MI, USA
| | - Xiaoquan Wen
- Department of Biostatistics, University of Michigan, Ann Arbor, MI, USA.
| | - Jean Morrison
- Department of Biostatistics, University of Michigan, Ann Arbor, MI, USA.
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26
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Shang Y, Cui P, Chen Y, Zhang Z, Li S, Chen Z, Ma A, Jia Y. Study on the mechanism of mitigating radiation damage by improving the hematopoietic system and intestinal barrier with Tenebrio molitor peptides. Food Funct 2024. [PMID: 39011610 DOI: 10.1039/d4fo01141d] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 07/17/2024]
Abstract
Research on plant and animal peptides has garnered significant attention, but there is a lack of studies on the functional properties of Tenebrio molitor peptides, particularly in relation to their potential mitigating effect on radiation damage and the underlying mechanisms. This study aims to explore the protective effects of Tenebrio molitor peptides against radiation-induced damage. Mice were divided into five groups: normal, radiation model, and low-, medium-, and high-dose Tenebrio molitor peptide (TMP) groups (0.15 g per kg BW, 0.30 g per kg BW, and 0.60 g per kg BW). Various parameters such as blood cell counts, bone marrow DNA content, immune organ indices, serum levels of D-lactic acid, diamine oxidase (DAO), endotoxin (LPS), and inflammatory factors were assessed at 3 and 15 days post gamma irradiation. Additionally, the intestinal tissue morphology was examined through H&E staining, RT-qPCR experiments were conducted to analyze the expression of inflammatory factors in the intestine, and immunohistochemistry was utilized to evaluate the expression of tight junction proteins ZO-1 and Occludin in the intestine. The findings revealed that high-dose TMP significantly enhanced the hematopoietic system function in mice post radiation exposure, leading to increased spleen index, thymus index, blood cell counts, and bone marrow DNA production (p < 0.05). Moreover, TMP improved the intestinal barrier integrity and reduced the intestinal permeability. Mechanistic insights suggested that these peptides may safeguard intestinal barrier function by downregulating the gene expression of inflammatory factors TNF-α, IL-1β, and IL-6, while upregulating the expression of tight junction proteins ZO-1 and Occludin (p < 0.05). Overall, supplementation with TMP mitigates radiation-induced intestinal damage by enhancing the hematopoietic system and the intestinal barrier, offering valuable insights for further investigations into the mechanisms underlying the protective effects of these peptides against ionizing radiation.
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Affiliation(s)
- Yuting Shang
- School of Food and Health, Beijing Technology and Business University, Beijing 100048, PR China.
| | - Pengfei Cui
- School of Food and Health, Beijing Technology and Business University, Beijing 100048, PR China.
| | - Yachun Chen
- School of Food and Health, Beijing Technology and Business University, Beijing 100048, PR China.
| | - Ziqi Zhang
- School of Food and Health, Beijing Technology and Business University, Beijing 100048, PR China.
| | - Siting Li
- School of Food and Health, Beijing Technology and Business University, Beijing 100048, PR China.
| | - Zhou Chen
- School of Food and Health, Beijing Technology and Business University, Beijing 100048, PR China.
| | - Aijin Ma
- School of Food and Health, Beijing Technology and Business University, Beijing 100048, PR China.
| | - Yingmin Jia
- School of Food and Health, Beijing Technology and Business University, Beijing 100048, PR China.
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27
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Cantoni C, Falco M, Vitale M, Pietra G, Munari E, Pende D, Mingari MC, Sivori S, Moretta L. Human NK cells and cancer. Oncoimmunology 2024; 13:2378520. [PMID: 39022338 PMCID: PMC11253890 DOI: 10.1080/2162402x.2024.2378520] [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: 04/29/2024] [Accepted: 07/05/2024] [Indexed: 07/20/2024] Open
Abstract
The long story of NK cells started about 50 y ago with the first demonstration of a natural cytotoxic activity within an undefined subset of circulating leukocytes, has involved an ever-growing number of researchers, fascinated by the apparently easy-to-reach aim of getting a "universal anti-tumor immune tool". In fact, in spite of the impressive progress obtained in the first decades, these cells proved far more complex than expected and, paradoxically, the accumulating findings have continuously moved forward the attainment of a complete control of their function for immunotherapy. The refined studies of these latter years have indicated that NK cells can epigenetically calibrate their functional potential, in response to specific environmental contexts, giving rise to extraordinarily variegated subpopulations, comprehensive of memory-like cells, tissue-resident cells, or cells in various differentiation stages, or distinct functional states. In addition, NK cells can adapt their activity in response to a complex body of signals, spanning from the interaction with either suppressive or stimulating cells (myeloid-derived suppressor cells or dendritic cells, respectively) to the engagement of various receptors (specific for immune checkpoints, cytokines, tumor/viral ligands, or mediating antibody-dependent cell-mediated cytotoxicity). According to this picture, the idea of an easy and generalized exploitation of NK cells is changing, and the way is opening toward new carefully designed, combined and personalized therapeutic strategies, also based on the use of genetically modified NK cells and stimuli capable of strengthening and redirecting their effector functions against cancer.
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Affiliation(s)
- Claudia Cantoni
- Department of Experimental Medicine (DIMES), University of Genoa, Genoa, Italy
- Laboratory of Clinical and Experimental Immunology, Integrated Department of Services and Laboratories, IRCCS Istituto Giannina Gaslini, Genoa, Italy
| | - Michela Falco
- Laboratory of Clinical and Experimental Immunology, Integrated Department of Services and Laboratories, IRCCS Istituto Giannina Gaslini, Genoa, Italy
| | - Massimo Vitale
- UO Pathology and Experimental Immunology, IRCCS Ospedale Policlinico, San Martino, Genova, Italy
| | - Gabriella Pietra
- Department of Experimental Medicine (DIMES), University of Genoa, Genoa, Italy
- UO Pathology and Experimental Immunology, IRCCS Ospedale Policlinico, San Martino, Genova, Italy
| | - Enrico Munari
- Pathology Unit, Department of Pathology and Diagnostics, University and Hospital Trust of Verona, Verona, Italy
| | - Daniela Pende
- UO Pathology and Experimental Immunology, IRCCS Ospedale Policlinico, San Martino, Genova, Italy
| | - Maria Cristina Mingari
- Department of Experimental Medicine (DIMES), University of Genoa, Genoa, Italy
- UO Pathology and Experimental Immunology, IRCCS Ospedale Policlinico, San Martino, Genova, Italy
| | - Simona Sivori
- Department of Experimental Medicine (DIMES), University of Genoa, Genoa, Italy
- IRCCS Ospedale Policlinico, San Martino, Genova, Italy
| | - Lorenzo Moretta
- Tumor Immunology Unit, Bambino Gesù Children’s Hospital IRCCS, Rome, Italy
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28
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Urzúa-Traslaviña CG, van Lieshout T, Boulogne F, Domanegg K, Zidan M, Bakker OB, Claringbould A, de Ridder J, Zwart W, Westra HJ, Deelen P, Franke L. Co-expression in tissue-specific gene networks links genes in cancer-susceptibility loci to known somatic driver genes. BMC Med Genomics 2024; 17:186. [PMID: 39010058 PMCID: PMC11247850 DOI: 10.1186/s12920-024-01941-4] [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: 05/01/2024] [Accepted: 06/18/2024] [Indexed: 07/17/2024] Open
Abstract
BACKGROUND The genetic background of cancer remains complex and challenging to integrate. Many somatic mutations within genes are known to cause and drive cancer, while genome-wide association studies (GWAS) of cancer have revealed many germline risk factors associated with cancer. However, the overlap between known somatic driver genes and positional candidate genes from GWAS loci is surprisingly small. We hypothesised that genes from multiple independent cancer GWAS loci should show tissue-specific co-regulation patterns that converge on cancer-specific driver genes. RESULTS We studied recent well-powered GWAS of breast, prostate, colorectal and skin cancer by estimating co-expression between genes and subsequently prioritising genes that show significant co-expression with genes mapping within susceptibility loci from cancer GWAS. We observed that the prioritised genes were strongly enriched for cancer drivers defined by COSMIC, IntOGen and Dietlein et al. The enrichment of known cancer driver genes was most significant when using co-expression networks derived from non-cancer samples of the relevant tissue of origin. CONCLUSION We show how genes within risk loci identified by cancer GWAS can be linked to known cancer driver genes through tissue-specific co-expression networks. This provides an important explanation for why seemingly unrelated sets of genes that harbour either germline risk factors or somatic mutations can eventually cause the same type of disease.
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Affiliation(s)
- Carlos G Urzúa-Traslaviña
- Department of Genetics, University Medical Center Groningen, Groningen, The Netherlands
- Oncode Institute, Utrecht, The Netherlands
| | - Tijs van Lieshout
- Department of Genetics, University Medical Center Groningen, Groningen, The Netherlands
- Oncode Institute, Utrecht, The Netherlands
| | - Floranne Boulogne
- Department of Genetics, University Medical Center Groningen, Groningen, The Netherlands
- Oncode Institute, Utrecht, The Netherlands
| | - Kevin Domanegg
- Department of Genetics, University Medical Center Groningen, Groningen, The Netherlands
| | - Mahmoud Zidan
- Department of Genetics, University Medical Center Groningen, Groningen, The Netherlands
| | - Olivier B Bakker
- Wellcome Sanger Institute, Human Genetics, Hinxton, UK
- Open Targets, Hinxton, UK
| | - Annique Claringbould
- Department of Genetics, University Medical Center Groningen, Groningen, The Netherlands
- EMBL Heidelberg, Structural and Computational Biology Unit, Heidelberg, Germany
| | - Jeroen de Ridder
- Oncode Institute, Utrecht, The Netherlands
- University Medical Center Utrecht, Utrecht, The Netherlands
| | - Wilbert Zwart
- Oncode Institute, Utrecht, The Netherlands
- Division of Oncogenomics, Netherlands Cancer Institute, Amsterdam, The Netherlands
| | - Harm-Jan Westra
- Department of Genetics, University Medical Center Groningen, Groningen, The Netherlands
- Oncode Institute, Utrecht, The Netherlands
| | - Patrick Deelen
- Department of Genetics, University Medical Center Groningen, Groningen, The Netherlands
- Oncode Institute, Utrecht, The Netherlands
| | - Lude Franke
- Department of Genetics, University Medical Center Groningen, Groningen, The Netherlands.
- Oncode Institute, Utrecht, The Netherlands.
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29
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Liu HX, Feng J, Jiang JJ, Shen WJ, Zheng Y, Liu G, Gao XY. Integrated single-cell and bulk RNA sequencing revealed an epigenetic signature predicts prognosis and tumor microenvironment colorectal cancer heterogeneity. World J Gastrointest Oncol 2024; 16:3032-3054. [DOI: 10.4251/wjgo.v16.i7.3032] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 02/18/2024] [Revised: 04/23/2024] [Accepted: 05/07/2024] [Indexed: 07/12/2024] Open
Abstract
BACKGROUND Colorectal cancer (CRC) prognosis prediction is currently a major challenge. Epigenetic regulation has been widely reported for its role in cancer development.
AIM To construct a robust prognostic signature, we used developed and validated across datasets.
METHODS After constructing the signature, the prognostic value of the signature was evaluated in the TCGA cohort and six independent datasets (GSE17526, GSE17537, GSE33113, GSE37892, GSE39048 and GSE39582). The clinical, genomic and transcriptomic features related to the signature were identified. The correlations of the signature score with immune cell infiltration and cell-cell interactions were analyzed. The correlations between the signature score and the sensitivity to different drugs were also predicted.
RESULTS In the TCGA cohort, patients in the low-risk group according to the signature score had longer survival than those in the high-risk group, and this finding was validated in the validation datasets. The signature was a prognostic factor independent of age and sex and was correlated with stage and PD-1/PD-L1 expression. Area under the receiving operating characteristic curve was 0.72. Genomic association analyses revealed that samples from high-risk patients exhibited chromosomal instability. Transcriptomic analyses revealed that the signature score was significantly associated with multiple cellular pathways. Bulk RNA-seq and single-cell sequencing data revealed that the signature reflected differences in infiltrating immune cell-tumor cell interactions, especially for macrophages. The signature also predicted the putative drug sensitivity of CRC samples.
CONCLUSION The signature is a valuable biomarker for predicting CRC prognosis and reflects multiple features of CRC, especially macrophage infiltration in the microenvironment.
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Affiliation(s)
- Han-Xuan Liu
- Beijing Jinghua Anliang Technology, Beijing 102627, China
| | - Jie Feng
- Department of Clinical Laboratory, The First Medical Centre of Chinese PLA General Hospital, Beijing 100853, China
| | - Jing-Jing Jiang
- Clinical Biological Sample Center, Medical Innovation Research Division of Chinese PLA General Hospital, Beijing 100853, China
| | - Wan-Jun Shen
- Department of Nephrology, The First Medical Center of Chinese PLA General Hospital, Beijing 100853, China
| | - Yu Zheng
- Institute of Biomedical Sciences, Fudan University, Shanghai 200032, China
| | - Gang Liu
- Institute of Biomedical Sciences, Fudan University, Shanghai 200032, China
| | - Xiang-Yang Gao
- The Second Medical Center and National Clinical Research Center for Geriatric Diseases, Chinese PLA General Hospital, Beijing 100853, China
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30
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Quach H, Farrell S, Wu MJM, Kanagarajah K, Leung JWH, Xu X, Kallurkar P, Turinsky AL, Bear CE, Ratjen F, Kalish B, Goyal S, Moraes TJ, Wong AP. Early human fetal lung atlas reveals the temporal dynamics of epithelial cell plasticity. Nat Commun 2024; 15:5898. [PMID: 39003323 PMCID: PMC11246468 DOI: 10.1038/s41467-024-50281-5] [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: 11/16/2023] [Accepted: 07/05/2024] [Indexed: 07/15/2024] Open
Abstract
Studying human fetal lungs can inform how developmental defects and disease states alter the function of the lungs. Here, we sequenced >150,000 single cells from 19 healthy human pseudoglandular fetal lung tissues ranging between gestational weeks 10-19. We capture dynamic developmental trajectories from progenitor cells that express abundant levels of the cystic fibrosis conductance transmembrane regulator (CFTR). These cells give rise to multiple specialized epithelial cell types. Combined with spatial transcriptomics, we show temporal regulation of key signalling pathways that may drive the temporal and spatial emergence of specialized epithelial cells including ciliated and pulmonary neuroendocrine cells. Finally, we show that human pluripotent stem cell-derived fetal lung models contain CFTR-expressing progenitor cells that capture similar lineage developmental trajectories as identified in the native tissue. Overall, this study provides a comprehensive single-cell atlas of the developing human lung, outlining the temporal and spatial complexities of cell lineage development and benchmarks fetal lung cultures from human pluripotent stem cell differentiations to similar developmental window.
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Affiliation(s)
- Henry Quach
- Program in Developmental and Stem Cell Biology, Hospital for Sick Children, Toronto, Ontario, Canada
- Department of Laboratory Medicine & Pathobiology, University of Toronto, Toronto, Ontario, Canada
| | - Spencer Farrell
- Department of Physics, University of Toronto, Toronto, Ontario, Canada
| | - Ming Jia Michael Wu
- Program in Developmental and Stem Cell Biology, Hospital for Sick Children, Toronto, Ontario, Canada
| | - Kayshani Kanagarajah
- Program in Developmental and Stem Cell Biology, Hospital for Sick Children, Toronto, Ontario, Canada
- Department of Laboratory Medicine & Pathobiology, University of Toronto, Toronto, Ontario, Canada
| | - Joseph Wai-Hin Leung
- Program in Neurosciences and Mental Health, Hospital for Sick Children, Toronto, Ontario, Canada
| | - Xiaoqiao Xu
- Centre for Computational Medicine, Hospital for Sick Children, Toronto, Ontario, Canada
| | - Prajkta Kallurkar
- Centre for Computational Medicine, Hospital for Sick Children, Toronto, Ontario, Canada
| | - Andrei L Turinsky
- Centre for Computational Medicine, Hospital for Sick Children, Toronto, Ontario, Canada
| | - Christine E Bear
- Program in Molecular Medicine, Hospital for Sick Children, Toronto, Ontario, Canada
| | - Felix Ratjen
- Program in Translational Medicine, Hospital for Sick Children, Toronto, Ontario, Canada
| | - Brian Kalish
- Program in Neurosciences and Mental Health, Hospital for Sick Children, Toronto, Ontario, Canada
- Department of Molecular Genetics, University of Toronto, Toronto, Ontario, Canada
- Division of Neonatology, Department of Paediatrics, Hospital for Sick Children, Toronto, Ontario, Canada
| | - Sidhartha Goyal
- Department of Physics, University of Toronto, Toronto, Ontario, Canada
| | - Theo J Moraes
- Program in Translational Medicine, Hospital for Sick Children, Toronto, Ontario, Canada
| | - Amy P Wong
- Program in Developmental and Stem Cell Biology, Hospital for Sick Children, Toronto, Ontario, Canada.
- Department of Laboratory Medicine & Pathobiology, University of Toronto, Toronto, Ontario, Canada.
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31
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Berdnikovs S, Newcomb DC, McKernan KE, Kuehnle SN, Haruna NF, Gebretsadik T, McKennan C, Ma S, Cephus JY, Rosas-Salazar C, Anderson LJ, Gern JE, Hartert T. Single cell profiling to determine influence of wheeze and early-life viral infection on developmental programming of airway epithelium. BIORXIV : THE PREPRINT SERVER FOR BIOLOGY 2024:2024.07.08.602506. [PMID: 39026695 PMCID: PMC11257436 DOI: 10.1101/2024.07.08.602506] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Track Full Text] [Subscribe] [Scholar Register] [Indexed: 07/20/2024]
Abstract
Although childhood asthma is in part an airway epithelial disorder, the development of the airway epithelium in asthma is not understood. We sought to characterize airway epithelial developmental phenotypes in those with and without recurrent wheeze and the impact of infant infection with respiratory syncytial virus (RSV). Nasal airway epithelial cells (NAECs) were collected at age 2-3 years from an a priori designed nested birth cohort of children from four mutually exclusive groups of wheezers/non-wheezers and RSV-infected/uninfected in the first year of life. NAECs were cultured in air-liquid interface differentiation conditions followed by a combined analysis of single cell RNA sequencing (scRNA-seq) and in vitro infection with respiratory syncytial virus (RSV). NAECs from children with a wheeze phenotype were characterized by abnormal differentiation and basal cell activation of developmental pathways, plasticity in precursor differentiation and a delayed onset of maturation. NAECs from children with wheeze also had increased diversity of currently known RSV receptors and blunted anti-viral immune responses to in vitro infection. The most dramatic changes in differentiation of cultured epithelium were observed in NAECs derived from children that had both wheeze and RSV in the first year of life. Together this suggests that airway epithelium in children with wheeze is developmentally reprogrammed and characterized by increased barrier permeability, decreased antiviral response, and increased RSV receptors, which may predispose to and amplify the effects of RSV infection in infancy and susceptibility to other asthma risk factors that interact with the airway mucosa. SUMMARY Nasal airway epithelial cells from children with wheeze are characterized by altered development and increased susceptibility to RSV infection.
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Eaton AF, Danielson EC, Capen D, Merkulova M, Brown D. Dmxl1 Is an Essential Mammalian Gene that Is Required for V-ATPase Assembly and Function In Vivo. FUNCTION 2024; 5:zqae025. [PMID: 38984989 PMCID: PMC11237898 DOI: 10.1093/function/zqae025] [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: 04/16/2024] [Revised: 05/10/2024] [Accepted: 05/13/2024] [Indexed: 07/11/2024] Open
Abstract
The proton pumping V-ATPase drives essential biological processes, such as acidification of intracellular organelles. Critically, the V-ATPase domains, V1 and VO, must assemble to produce a functional holoenzyme. V-ATPase dysfunction results in cancer, neurodegeneration, and diabetes, as well as systemic acidosis caused by reduced activity of proton-secreting kidney intercalated cells (ICs). However, little is known about the molecular regulation of V-ATPase in mammals. We identified a novel interactor of the mammalian V-ATPase, Drosophila melanogaster X chromosomal gene-like 1 (Dmxl1), aka Rabconnectin-3A. The yeast homologue of Dmxl1, Rav1p, is part of a complex that catalyzes the reversible assembly of the domains. We, therefore,hypothesized that Dmxl1 is a mammalian V-ATPase assembly factor. Here, we generated kidney IC-specific Dmxl1 knockout (KO) mice, which had high urine pH, like B1 V-ATPase KO mice, suggesting impaired V-ATPase function. Western blotting showed decreased B1 expression and B1 (V1) and a4 (VO) subunits were more intracellular and less colocalized in Dmxl1 KO ICs. In parallel, subcellular fractionation revealed less V1 associated B1 in the membrane fraction of KO cells relative to the cytosol. Furthermore, a proximity ligation assay performed using probes against B1 and a4 V-ATPase subunits also revealed decreased association. We propose that loss of Dmxl1 reduces V-ATPase holoenzyme assembly, thereby inhibiting proton pumping function. Dmxl1 may recruit the V1 domain to the membrane and facilitate assembly with the VO domain and in its absence V1 may be targeted for degradation. We conclude that Dmxl1 is a bona fide mammalian V-ATPase assembly factor.
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Affiliation(s)
- Amity F Eaton
- Program in Membrane Biology and Division of Nephrology, Massachusetts General Hospital and Harvard Medical School, Boston, MA 02114, USA
| | - Elizabeth C Danielson
- Program in Membrane Biology and Division of Nephrology, Massachusetts General Hospital and Harvard Medical School, Boston, MA 02114, USA
| | - Diane Capen
- Program in Membrane Biology and Division of Nephrology, Massachusetts General Hospital and Harvard Medical School, Boston, MA 02114, USA
| | - Maria Merkulova
- Program in Membrane Biology and Division of Nephrology, Massachusetts General Hospital and Harvard Medical School, Boston, MA 02114, USA
| | - Dennis Brown
- Program in Membrane Biology and Division of Nephrology, Massachusetts General Hospital and Harvard Medical School, Boston, MA 02114, USA
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33
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Reedy JL, Jensen KN, Crossen AJ, Basham KJ, Ward RA, Reardon CM, Brown Harding H, Hepworth OW, Simaku P, Kwaku GN, Tone K, Willment JA, Reid DM, Stappers MHT, Brown GD, Rajagopal J, Vyas JM. Fungal melanin suppresses airway epithelial chemokine secretion through blockade of calcium fluxing. Nat Commun 2024; 15:5817. [PMID: 38987270 PMCID: PMC11237042 DOI: 10.1038/s41467-024-50100-x] [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: 04/02/2023] [Accepted: 06/28/2024] [Indexed: 07/12/2024] Open
Abstract
Respiratory infections caused by the human fungal pathogen Aspergillus fumigatus are a major cause of mortality for immunocompromised patients. Exposure to these pathogens occurs through inhalation, although the role of the respiratory epithelium in disease pathogenesis has not been fully defined. Employing a primary human airway epithelial model, we demonstrate that fungal melanins potently block the post-translational secretion of the chemokines CXCL1 and CXCL8 independent of transcription or the requirement of melanin to be phagocytosed, leading to a significant reduction in neutrophil recruitment to the apical airway both in vitro and in vivo. Aspergillus-derived melanin, a major constituent of the fungal cell wall, dampened airway epithelial chemokine secretion in response to fungi, bacteria, and exogenous cytokines. Furthermore, melanin muted pathogen-mediated calcium fluxing and hindered actin filamentation. Taken together, our results reveal a critical role for melanin interaction with airway epithelium in shaping the host response to fungal and bacterial pathogens.
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Affiliation(s)
- Jennifer L Reedy
- Department of Medicine, Division of Infectious Diseases, Massachusetts General Hospital, Boston, MA, USA
- Harvard Medical School, Boston, MA, USA
| | - Kirstine Nolling Jensen
- Department of Medicine, Division of Infectious Diseases, Massachusetts General Hospital, Boston, MA, USA
- Harvard Medical School, Boston, MA, USA
| | - Arianne J Crossen
- Department of Medicine, Division of Infectious Diseases, Massachusetts General Hospital, Boston, MA, USA
| | - Kyle J Basham
- Department of Medicine, Division of Infectious Diseases, Massachusetts General Hospital, Boston, MA, USA
| | - Rebecca A Ward
- Department of Medicine, Division of Infectious Diseases, Massachusetts General Hospital, Boston, MA, USA
| | - Christopher M Reardon
- Department of Medicine, Division of Infectious Diseases, Massachusetts General Hospital, Boston, MA, USA
| | - Hannah Brown Harding
- Department of Medicine, Division of Infectious Diseases, Massachusetts General Hospital, Boston, MA, USA
- Harvard Medical School, Boston, MA, USA
| | - Olivia W Hepworth
- Department of Medicine, Division of Infectious Diseases, Massachusetts General Hospital, Boston, MA, USA
- Harvard Medical School, Boston, MA, USA
| | - Patricia Simaku
- Department of Medicine, Division of Infectious Diseases, Massachusetts General Hospital, Boston, MA, USA
| | - Geneva N Kwaku
- Department of Medicine, Division of Infectious Diseases, Massachusetts General Hospital, Boston, MA, USA
| | - Kazuya Tone
- Aberdeen Fungal Group, University of Aberdeen, Institute of Medical Sciences, Foresterhill, Aberdeen, United Kingdom
- Division of Respiratory Diseases, Department of Internal Medicine, The Jikei University School of Medicine, Tokyo, Japan
| | - Janet A Willment
- Aberdeen Fungal Group, University of Aberdeen, Institute of Medical Sciences, Foresterhill, Aberdeen, United Kingdom
- MRC Centre for Medical Mycology, University of Exeter, Exeter, United Kingdom
| | - Delyth M Reid
- Aberdeen Fungal Group, University of Aberdeen, Institute of Medical Sciences, Foresterhill, Aberdeen, United Kingdom
| | - Mark H T Stappers
- Aberdeen Fungal Group, University of Aberdeen, Institute of Medical Sciences, Foresterhill, Aberdeen, United Kingdom
- MRC Centre for Medical Mycology, University of Exeter, Exeter, United Kingdom
| | - Gordon D Brown
- Aberdeen Fungal Group, University of Aberdeen, Institute of Medical Sciences, Foresterhill, Aberdeen, United Kingdom
- MRC Centre for Medical Mycology, University of Exeter, Exeter, United Kingdom
| | - Jayaraj Rajagopal
- Center for Regenerative Medicine, Massachusetts General Hospital, Boston, MA, USA
- Division of Pulmonary and Critical Care Medicine, Department of Medicine, Massachusetts General Hospital, Boston, MA, USA
- Harvard Stem Cell Institute, Cambridge, MA, USA
- Klarman Cell Observatory, Broad Institute of Massachusetts Institute of Technology and Harvard, Cambridge, MA, USA
| | - Jatin M Vyas
- Department of Medicine, Division of Infectious Diseases, Massachusetts General Hospital, Boston, MA, USA.
- Harvard Medical School, Boston, MA, USA.
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Hung CT, Ma C, Panda SK, Trsan T, Hodel M, Frein J, Foster A, Sun S, Wu HT, Kern J, Mishra R, Jain U, Ho YC, Colonna M, Stappenbeck TS, Liu TC. Western diet reduces small intestinal intraepithelial lymphocytes via FXR-Interferon pathway. Mucosal Immunol 2024:S1933-0219(24)00067-9. [PMID: 38992433 DOI: 10.1016/j.mucimm.2024.07.001] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 05/02/2023] [Revised: 07/03/2024] [Accepted: 07/03/2024] [Indexed: 07/13/2024]
Abstract
The prevalence of obesity in the United States has continued to increase over the past several decades. Understanding how diet-induced obesity modulates mucosal immunity is of clinical relevance. We previously showed that consumption of a high fat, high sugar "Western" diet (WD) reduces the density and function of small intestinal Paneth cells, a small intestinal epithelial cell type with innate immune function. We hypothesized that obesity could also result in repressed gut adaptive immunity. Using small intestinal intraepithelial lymphocytes (IEL) as a readout, we found that in non-inflammatory bowel disease (IBD) subjects, high body mass index correlated with reduced IEL density. We recapitulated this in wild type (WT) mice fed with WD. A 4-week WD consumption was able to reduce IEL but not splenic, blood, or bone marrow lymphocytes, and the effect was reversible after another 2 weeks of standard diet (SD) washout. Importantly, WD-associated IEL reduction was not dependent on the presence of gut microbiota, as WD-fed germ-free mice also showed IEL reduction. We further found that WD-mediated Farnesoid X Receptor (FXR) activation in the gut triggered IEL reduction, and this was partially mediated by intestinal phagocytes. Activated FXR signaling stimulated phagocytes to secrete type I IFN, and inhibition of either FXR or type I IFN signaling within the phagocytes prevented WD-mediated IEL loss. Therefore, WD consumption represses both innate and adaptive immunity in the gut. These findings have significant clinical implications in the understanding of how diet modulates mucosal immunity.
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Affiliation(s)
- Chen-Ting Hung
- Department of Pathology and Immunology, Washington University School of Medicine, Saint Louis, MO 63110, United States
| | - Changqing Ma
- Department of Pathology and Immunology, Washington University School of Medicine, Saint Louis, MO 63110, United States
| | - Santosh K Panda
- Department of Pathology and Immunology, Washington University School of Medicine, Saint Louis, MO 63110, United States
| | - Tihana Trsan
- Department of Pathology and Immunology, Washington University School of Medicine, Saint Louis, MO 63110, United States
| | - Miki Hodel
- Department of Pathology and Immunology, Washington University School of Medicine, Saint Louis, MO 63110, United States
| | - Jennifer Frein
- Department of Pathology and Immunology, Washington University School of Medicine, Saint Louis, MO 63110, United States
| | - Amanda Foster
- Department of Pathology and Immunology, Washington University School of Medicine, Saint Louis, MO 63110, United States
| | - Shengxiang Sun
- Department of Pathology and Immunology, Washington University School of Medicine, Saint Louis, MO 63110, United States
| | - Hung-Ting Wu
- Department of Pathology and Immunology, Washington University School of Medicine, Saint Louis, MO 63110, United States
| | - Justin Kern
- Department of Pathology and Immunology, Washington University School of Medicine, Saint Louis, MO 63110, United States
| | - Richa Mishra
- Department of Pathology and Immunology, Washington University School of Medicine, Saint Louis, MO 63110, United States
| | - Umang Jain
- Department of Pathology and Immunology, Washington University School of Medicine, Saint Louis, MO 63110, United States
| | - Ya-Chi Ho
- Department of Microbial Pathogenesis, Yale University School of Medicine, New Haven, CT 06519, United States
| | - Marco Colonna
- Department of Pathology and Immunology, Washington University School of Medicine, Saint Louis, MO 63110, United States
| | - Thaddeus S Stappenbeck
- Department of Inflammation and Immunity, Lerner Research Institute, Cleveland Clinic, Cleveland, OH 44195, United States
| | - Ta-Chiang Liu
- Department of Pathology and Immunology, Washington University School of Medicine, Saint Louis, MO 63110, United States.
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35
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Zaidi S, Park J, Chan JM, Roudier MP, Zhao JL, Gopalan A, Wadosky KM, Patel RA, Sayar E, Karthaus WR, Kates DH, Chaudhary O, Xu T, Masilionis I, Mazutis L, Chaligné R, Obradovic A, Linkov I, Barlas A, Jungbluth AA, Rekhtman N, Silber J, Manova-Todorova K, Watson PA, True LD, Morrissey C, Scher HI, Rathkopf DE, Morris MJ, Goodrich DW, Choi J, Nelson PS, Haffner MC, Sawyers CL. Single-cell analysis of treatment-resistant prostate cancer: Implications of cell state changes for cell surface antigen-targeted therapies. Proc Natl Acad Sci U S A 2024; 121:e2322203121. [PMID: 38968122 PMCID: PMC11252802 DOI: 10.1073/pnas.2322203121] [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: 01/02/2024] [Accepted: 05/09/2024] [Indexed: 07/07/2024] Open
Abstract
Targeting cell surface molecules using radioligand and antibody-based therapies has yielded considerable success across cancers. However, it remains unclear how the expression of putative lineage markers, particularly cell surface molecules, varies in the process of lineage plasticity, wherein tumor cells alter their identity and acquire new oncogenic properties. A notable example of lineage plasticity is the transformation of prostate adenocarcinoma (PRAD) to neuroendocrine prostate cancer (NEPC)-a growing resistance mechanism that results in the loss of responsiveness to androgen blockade and portends dismal patient survival. To understand how lineage markers vary across the evolution of lineage plasticity in prostate cancer, we applied single-cell analyses to 21 human prostate tumor biopsies and two genetically engineered mouse models, together with tissue microarray analysis on 131 tumor samples. Not only did we observe a higher degree of phenotypic heterogeneity in castrate-resistant PRAD and NEPC than previously anticipated but also found that the expression of molecules targeted therapeutically, namely PSMA, STEAP1, STEAP2, TROP2, CEACAM5, and DLL3, varied within a subset of gene-regulatory networks (GRNs). We also noted that NEPC and small cell lung cancer subtypes shared a set of GRNs, indicative of conserved biologic pathways that may be exploited therapeutically across tumor types. While this extreme level of transcriptional heterogeneity, particularly in cell surface marker expression, may mitigate the durability of clinical responses to current and future antigen-directed therapies, its delineation may yield signatures for patient selection in clinical trials, potentially across distinct cancer types.
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MESH Headings
- Male
- Humans
- Single-Cell Analysis/methods
- Animals
- Mice
- Prostatic Neoplasms/genetics
- Prostatic Neoplasms/metabolism
- Prostatic Neoplasms/pathology
- Prostatic Neoplasms/drug therapy
- Antigens, Surface/metabolism
- Antigens, Surface/genetics
- Antigens, Neoplasm/metabolism
- Antigens, Neoplasm/genetics
- Antigens, Neoplasm/immunology
- Biomarkers, Tumor/metabolism
- Biomarkers, Tumor/genetics
- Adenocarcinoma/genetics
- Adenocarcinoma/pathology
- Adenocarcinoma/metabolism
- Adenocarcinoma/drug therapy
- Carcinoma, Neuroendocrine/genetics
- Carcinoma, Neuroendocrine/pathology
- Carcinoma, Neuroendocrine/metabolism
- Carcinoma, Neuroendocrine/drug therapy
- Gene Expression Regulation, Neoplastic
- Prostatic Neoplasms, Castration-Resistant/metabolism
- Prostatic Neoplasms, Castration-Resistant/pathology
- Prostatic Neoplasms, Castration-Resistant/genetics
- Prostatic Neoplasms, Castration-Resistant/drug therapy
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Affiliation(s)
- Samir Zaidi
- Human Oncology and Pathogenesis Program, Memorial Sloan Kettering Cancer Center, New York, NY10065
- Department of Medicine, Division of Solid Tumor Oncology, Genitourinary Oncology Service, Memorial Sloan Kettering Cancer Center, New York, NY10065
| | - Jooyoung Park
- Department of Biomedical Sciences, Korea University College of Medicine, Seoul02841, Korea
| | - Joseph M. Chan
- Human Oncology and Pathogenesis Program, Memorial Sloan Kettering Cancer Center, New York, NY10065
- Program for Computational and Systems Biology, Sloan Kettering Institute, Memorial Sloan Kettering Cancer Center, New York, NY10065
| | | | | | - Anuradha Gopalan
- Department of Pathology and Laboratory Medicine, Memorial Sloan Kettering Cancer Center, New York, NY10065
| | - Kristine M. Wadosky
- Department of Pharmacology and Therapeutics, Roswell Park Cancer Institute, Buffalo, NY14263
| | - Radhika A. Patel
- Division of Human Biology, Fred Hutchinson Cancer Center, Seattle, WA98195
- Division of Clinical Research, Fred Hutchinson Cancer Center, Seattle, WA98195
| | - Erolcan Sayar
- Division of Human Biology, Fred Hutchinson Cancer Center, Seattle, WA98195
- Division of Clinical Research, Fred Hutchinson Cancer Center, Seattle, WA98195
| | - Wouter R. Karthaus
- Swiss Institute for Experimental Cancer Research, School of Life Sciences, École Polytechnique Fédérale de Lausanne, Lausanne1015, Switzerland
| | - D. Henry Kates
- Human Oncology and Pathogenesis Program, Memorial Sloan Kettering Cancer Center, New York, NY10065
| | - Ojasvi Chaudhary
- Program for Computational and Systems Biology, Sloan Kettering Institute, Memorial Sloan Kettering Cancer Center, New York, NY10065
| | - Tianhao Xu
- Program for Computational and Systems Biology, Sloan Kettering Institute, Memorial Sloan Kettering Cancer Center, New York, NY10065
| | - Ignas Masilionis
- Program for Computational and Systems Biology, Sloan Kettering Institute, Memorial Sloan Kettering Cancer Center, New York, NY10065
| | - Linas Mazutis
- Program for Computational and Systems Biology, Sloan Kettering Institute, Memorial Sloan Kettering Cancer Center, New York, NY10065
| | - Ronan Chaligné
- Program for Computational and Systems Biology, Sloan Kettering Institute, Memorial Sloan Kettering Cancer Center, New York, NY10065
| | - Aleksandar Obradovic
- Department of Systems Biology, Columbia University Irving Medical Center, New York, NY10032
| | - Irina Linkov
- Department of Pathology and Laboratory Medicine, Memorial Sloan Kettering Cancer Center, New York, NY10065
| | - Afsar Barlas
- Molecular Cytology Core Facility, Sloan Kettering Institute, Memorial Sloan Kettering Cancer Center, New YorkNY10065
| | - Achim A. Jungbluth
- Department of Pathology and Laboratory Medicine, Memorial Sloan Kettering Cancer Center, New York, NY10065
| | - Natasha Rekhtman
- Department of Pathology and Laboratory Medicine, Memorial Sloan Kettering Cancer Center, New York, NY10065
| | - Joachim Silber
- Department of Pathology and Laboratory Medicine, Memorial Sloan Kettering Cancer Center, New York, NY10065
| | - Katia Manova-Todorova
- Molecular Cytology Core Facility, Sloan Kettering Institute, Memorial Sloan Kettering Cancer Center, New YorkNY10065
| | - Philip A. Watson
- Research Outreach and Compliance, Memorial Sloan Kettering Cancer Center, New York, NY10065
| | - Lawrence D. True
- Department of Laboratory Medicine and Pathology, University of Washington, Seattle, WA98195
| | - Colm Morrissey
- Department of Urology, University of Washington, Seattle, WA98195
| | - Howard I. Scher
- Department of Medicine, Division of Solid Tumor Oncology, Genitourinary Oncology Service, Memorial Sloan Kettering Cancer Center, New York, NY10065
| | - Dana E. Rathkopf
- Department of Medicine, Division of Solid Tumor Oncology, Genitourinary Oncology Service, Memorial Sloan Kettering Cancer Center, New York, NY10065
| | - Michael J. Morris
- Department of Medicine, Division of Solid Tumor Oncology, Genitourinary Oncology Service, Memorial Sloan Kettering Cancer Center, New York, NY10065
| | - David W. Goodrich
- Department of Pharmacology and Therapeutics, Roswell Park Cancer Institute, Buffalo, NY14263
| | - Jungmin Choi
- Department of Biomedical Sciences, Korea University College of Medicine, Seoul02841, Korea
- Department of Genetics, Yale University School of Medicine, New Haven, CT06510
| | - Peter S. Nelson
- Division of Human Biology, Fred Hutchinson Cancer Center, Seattle, WA98195
- Division of Clinical Research, Fred Hutchinson Cancer Center, Seattle, WA98195
| | - Michael C. Haffner
- Division of Human Biology, Fred Hutchinson Cancer Center, Seattle, WA98195
- Division of Clinical Research, Fred Hutchinson Cancer Center, Seattle, WA98195
- Department of Laboratory Medicine and Pathology, University of Washington, Seattle, WA98195
| | - Charles L. Sawyers
- Human Oncology and Pathogenesis Program, Memorial Sloan Kettering Cancer Center, New York, NY10065
- HHMI, Memorial Sloan Kettering Cancer Center, New York, NY10065
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36
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Collier CA, Salikhova A, Sabir S, Foncerrada S, Raghavan SA. Crisis in the gut: navigating gastrointestinal challenges in Gulf War Illness with bioengineering. Mil Med Res 2024; 11:45. [PMID: 38978144 PMCID: PMC11229309 DOI: 10.1186/s40779-024-00547-2] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 12/21/2023] [Accepted: 06/26/2024] [Indexed: 07/10/2024] Open
Abstract
Gulf War Illness (GWI) is characterized by a wide range of symptoms that manifests largely as gastrointestinal symptoms. Among these gastrointestinal symptoms, motility disorders are highly prevalent, presenting as chronic constipation, stomach pain, indigestion, diarrhea, and other conditions that severely impact the quality of life of GWI veterans. However, despite a high prevalence of gastrointestinal impairments among these veterans, most research attention has focused on neurological disturbances. This perspective provides a comprehensive overview of current in vivo research advancements elucidating the underlying mechanisms contributing to gastrointestinal disorders in GWI. Generally, these in vivo and in vitro models propose that neuroinflammation alters gut motility and drives the gastrointestinal symptoms reported in GWI. Additionally, this perspective highlights the potential and challenges of in vitro bioengineering models, which could be a crucial contributor to understanding and treating the pathology of gastrointestinal related-GWI.
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Affiliation(s)
- Claudia A Collier
- Department of Biomedical Engineering, Texas A&M University, College Station, TX, 77843, USA
| | - Aelita Salikhova
- Department of Biomedical Engineering, Texas A&M University, College Station, TX, 77843, USA
| | - Sufiyan Sabir
- Department of Biomedical Engineering, Texas A&M University, College Station, TX, 77843, USA
| | - Steven Foncerrada
- Department of Biomedical Engineering, Texas A&M University, College Station, TX, 77843, USA
| | - Shreya A Raghavan
- Department of Biomedical Engineering, Texas A&M University, College Station, TX, 77843, USA.
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37
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Chen Y, Wang D, Li Y, Qi L, Si W, Bo Y, Chen X, Ye Z, Fan H, Liu B, Liu C, Zhang L, Zhang X, Li Z, Zhu L, Wu A, Zhang Z. Spatiotemporal single-cell analysis decodes cellular dynamics underlying different responses to immunotherapy in colorectal cancer. Cancer Cell 2024; 42:1268-1285.e7. [PMID: 38981439 DOI: 10.1016/j.ccell.2024.06.009] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 07/12/2023] [Revised: 04/10/2024] [Accepted: 06/14/2024] [Indexed: 07/11/2024]
Abstract
Expanding the efficacy of immune checkpoint blockade (ICB) in colorectal cancer (CRC) presses for a comprehensive understanding of treatment responsiveness. Here, we analyze multiple sequential single-cell samples from 22 patients undergoing PD-1 blockade to map the evolution of local and systemic immunity of CRC patients. In tumors, we identify coordinated cellular programs exhibiting distinct response associations. Specifically, exhausted T (Tex) or tumor-reactive-like CD8+ T (Ttr-like) cells are closely related to treatment efficacy, and Tex cells show correlated proportion changes with multiple other tumor-enriched cell types following PD-1 blockade. In addition, we reveal the less-exhausted phenotype of blood-associated Ttr-like cells in tumors and find that their higher abundance suggests better treatment outcomes. Finally, a higher major histocompatibility complex (MHC) II-related signature in circulating CD8+ T cells at baseline is linked to superior responses. Our study provides insights into the spatiotemporal cellular dynamics following neoadjuvant PD-1 blockade in CRC.
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Affiliation(s)
- Yuqing Chen
- Biomedical Pioneering Innovative Center (BIOPIC) and School of Life Sciences, Peking University, Beijing 100871, China
| | - Dongfang Wang
- Biomedical Pioneering Innovative Center (BIOPIC) and School of Life Sciences, Peking University, Beijing 100871, China.
| | - Yingjie Li
- State Key Laboratory of Holistic Integrative Management of Gastrointestinal Cancers, Beijing Key Laboratory of Carcinogenesis and Translational Research, Gastrointestinal Cancer Center, Unit III, Peking University Cancer Hospital & Institute, Beijing 100142, China
| | - Lu Qi
- Changping Laboratory, Yard 28, Science Park Road, Changping District, Beijing, China
| | - Wen Si
- Biomedical Pioneering Innovative Center (BIOPIC) and School of Life Sciences, Peking University, Beijing 100871, China
| | - Yufei Bo
- Biomedical Pioneering Innovative Center (BIOPIC) and School of Life Sciences, Peking University, Beijing 100871, China
| | - Xueyan Chen
- Biomedical Pioneering Innovative Center (BIOPIC) and School of Life Sciences, Peking University, Beijing 100871, China
| | - Zhaochen Ye
- Biomedical Pioneering Innovative Center (BIOPIC) and School of Life Sciences, Peking University, Beijing 100871, China
| | - Hongtao Fan
- Biomedical Pioneering Innovative Center (BIOPIC) and School of Life Sciences, Peking University, Beijing 100871, China
| | - Baolin Liu
- Biomedical Pioneering Innovative Center (BIOPIC) and School of Life Sciences, Peking University, Beijing 100871, China
| | - Chang Liu
- Biomedical Pioneering Innovative Center (BIOPIC) and School of Life Sciences, Peking University, Beijing 100871, China
| | - Li Zhang
- State Key Laboratory of Holistic Integrative Management of Gastrointestinal Cancers, Beijing Key Laboratory of Carcinogenesis and Translational Research, Department of Pathology, Peking University Cancer Hospital & Institute, Beijing 100142, China
| | - Xiaoyan Zhang
- State Key Laboratory of Holistic Integrative Management of Gastrointestinal Cancers, Beijing Key Laboratory of Carcinogenesis and Translational Research, Department of Radiology, Peking University Cancer Hospital & Institute, Beijing 100142, China
| | - Zhongwu Li
- State Key Laboratory of Holistic Integrative Management of Gastrointestinal Cancers, Beijing Key Laboratory of Carcinogenesis and Translational Research, Department of Pathology, Peking University Cancer Hospital & Institute, Beijing 100142, China
| | - Linna Zhu
- Biomedical Pioneering Innovative Center (BIOPIC) and School of Life Sciences, Peking University, Beijing 100871, China
| | - Aiwen Wu
- State Key Laboratory of Holistic Integrative Management of Gastrointestinal Cancers, Beijing Key Laboratory of Carcinogenesis and Translational Research, Gastrointestinal Cancer Center, Unit III, Peking University Cancer Hospital & Institute, Beijing 100142, China.
| | - Zemin Zhang
- Biomedical Pioneering Innovative Center (BIOPIC) and School of Life Sciences, Peking University, Beijing 100871, China.
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38
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Polak R, Zhang ET, Kuo CJ. Cancer organoids 2.0: modelling the complexity of the tumour immune microenvironment. Nat Rev Cancer 2024:10.1038/s41568-024-00706-6. [PMID: 38977835 DOI: 10.1038/s41568-024-00706-6] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Accepted: 05/09/2024] [Indexed: 07/10/2024]
Abstract
The development of neoplasia involves a complex and continuous interplay between malignantly transformed cells and the tumour microenvironment (TME). Cancer immunotherapies targeting the immune TME have been increasingly validated in clinical trials but response rates vary substantially between tumour histologies and are often transient, idiosyncratic and confounded by resistance. Faithful experimental models of the patient-specific tumour immune microenvironment, capable of recapitulating tumour biology and immunotherapy effects, would greatly improve patient selection, target identification and definition of resistance mechanisms for immuno-oncology therapeutics. In this Review, we discuss currently available and rapidly evolving 3D tumour organoid models that capture important immune features of the TME. We highlight diverse opportunities for organoid-based investigations of tumour immunity, drug development and precision medicine.
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Affiliation(s)
- Roel Polak
- Department of Medicine, Division of Hematology, Stanford University School of Medicine, Stanford, CA, USA
- Princess Máxima Center for Pediatric Oncology, Utrecht, Netherlands
| | - Elisa T Zhang
- Department of Medicine, Division of Hematology, Stanford University School of Medicine, Stanford, CA, USA
| | - Calvin J Kuo
- Department of Medicine, Division of Hematology, Stanford University School of Medicine, Stanford, CA, USA.
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Liang L, Yang Y, Deng K, Wu Y, Li Y, Bai L, Wang Y, Lu C. Type I Interferon Activates PD-1 Expression through Activation of the STAT1-IRF2 Pathway in Myeloid Cells. Cells 2024; 13:1163. [PMID: 38995014 PMCID: PMC11240780 DOI: 10.3390/cells13131163] [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: 04/30/2024] [Revised: 06/18/2024] [Accepted: 07/04/2024] [Indexed: 07/13/2024] Open
Abstract
PD-1 (Programmed cell death protein 1) regulates the metabolic reprogramming of myeloid-derived suppressor cells and myeloid cell differentiation, as well as the type I interferon (IFN-I) signaling pathway in myeloid cells in the tumor microenvironment. PD-1, therefore, is a key inhibitory receptor in myeloid cells. However, the regulation of PD-1 expression in myeloid cells is unknown. We report that the expression level of PDCD1, the gene that encodes the PD-1 protein, is positively correlated with the levels of IFNB1 and IFNAR1 in myeloid cells in human colorectal cancer. Treatment of mouse myeloid cell lines with recombinant IFNβ protein elevated PD-1 expression in myeloid cells in vitro. Knocking out IFNAR1, the gene that encodes the IFN-I-specific receptor, diminished the inductive effect of IFNβ on PD-1 expression in myeloid cells in vitro. Treatment of tumor-bearing mice with a lipid nanoparticle-encapsulated IFNβ-encoding plasmid (IFNBCOL01) increased IFNβ expression, resulting in elevated PD-1 expression in tumor-infiltrating myeloid cells. At the molecular level, we determined that IFNβ activates STAT1 (signal transducer and activator of transcription 1) and IRFs (interferon regulatory factors) in myeloid cells. Analysis of the cd279 promoter identified IRF2-binding consensus sequence elements. ChIP (chromatin immunoprecipitation) analysis determined that the pSTAT1 directly binds to the irf2 promoter and that IRF2 directly binds to the cd279 promoter in myeloid cells in vitro and in vivo. In colon cancer patients, the expression levels of STAT1, IRF2 and PDCD1 are positively correlated in tumor-infiltrating myeloid cells. Our findings determine that IFNβ activates PD-1 expression at least in part by an autocrine mechanism via the stimulation of the pSTAT1-IRF2 axis in myeloid cells.
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Affiliation(s)
- Liyan Liang
- School of Life Sciences, Tianjin University, Tianjin 300072, China; (L.L.); (Y.Y.); (K.D.); (Y.W.); (Y.L.)
| | - Yingcui Yang
- School of Life Sciences, Tianjin University, Tianjin 300072, China; (L.L.); (Y.Y.); (K.D.); (Y.W.); (Y.L.)
| | - Kaidi Deng
- School of Life Sciences, Tianjin University, Tianjin 300072, China; (L.L.); (Y.Y.); (K.D.); (Y.W.); (Y.L.)
| | - Yanmin Wu
- School of Life Sciences, Tianjin University, Tianjin 300072, China; (L.L.); (Y.Y.); (K.D.); (Y.W.); (Y.L.)
| | - Yan Li
- School of Life Sciences, Tianjin University, Tianjin 300072, China; (L.L.); (Y.Y.); (K.D.); (Y.W.); (Y.L.)
| | - Liya Bai
- School of Pharmacy, Tianjin Medical University, Tianjin 300070, China; (L.B.); (Y.W.)
| | - Yinsong Wang
- School of Pharmacy, Tianjin Medical University, Tianjin 300070, China; (L.B.); (Y.W.)
| | - Chunwan Lu
- School of Life Sciences, Tianjin University, Tianjin 300072, China; (L.L.); (Y.Y.); (K.D.); (Y.W.); (Y.L.)
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Maciag G, Hansen SL, Krizic K, Kellermann L, Inventor Zøylner MJ, Ulyanchenko S, Maimets M, Baattrup AM, Riis LB, Khodosevich K, Sato T, Bressan RB, Nielsen OH, Jensen KB. JAK/STAT signaling promotes the emergence of unique cell states in ulcerative colitis. Stem Cell Reports 2024:S2213-6711(24)00186-3. [PMID: 39029458 DOI: 10.1016/j.stemcr.2024.06.006] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 08/23/2023] [Revised: 06/18/2024] [Accepted: 06/19/2024] [Indexed: 07/21/2024] Open
Abstract
The intestinal epithelium ensures uptake of vital nutrients and acts as a barrier between luminal contents and the underlying immune system. In inflammatory bowel diseases, such as ulcerative colitis (UC), this barrier is compromised, and patients experience debilitating symptoms. Here, we perform single-cell RNA profiling of epithelial cells and outline patterns of cell fate decisions in healthy individuals and UC patients. We demonstrate that patterns of hierarchical behavior are altered in UC patients and identify unique cellular states associated with Janus kinase/signal transducer and activator of transcription (JAK/STAT) activation in ulcerated and non-ulcerated areas of the colonic epithelium. These transcriptional changes could be recapitulated in human colonic organoids, wherein cytokine-mediated activation of JAK/STAT led to the emergence of cell populations with augmented regenerative properties. Altogether, our findings indicate that intricate relationships between epithelial and cytokine signaling regulate cell fate during epithelial tissue regeneration in humans and have important implications for the understanding of UC biology.
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Affiliation(s)
- Grzegorz Maciag
- Novo Nordisk Foundation Center for Stem Cell Medicine (reNEW), Faculty of Health and Medical Sciences, University of Copenhagen, 2200 Copenhagen N, Denmark
| | - Stine Lind Hansen
- Novo Nordisk Foundation Center for Stem Cell Medicine (reNEW), Faculty of Health and Medical Sciences, University of Copenhagen, 2200 Copenhagen N, Denmark
| | - Kata Krizic
- Novo Nordisk Foundation Center for Stem Cell Medicine (reNEW), Faculty of Health and Medical Sciences, University of Copenhagen, 2200 Copenhagen N, Denmark
| | - Lauge Kellermann
- Department of Gastroenterology, Herlev Hospital, University of Copenhagen, 2730 Herlev, Denmark
| | - Maureen Joy Inventor Zøylner
- Novo Nordisk Foundation Center for Stem Cell Medicine (reNEW), Faculty of Health and Medical Sciences, University of Copenhagen, 2200 Copenhagen N, Denmark
| | - Svetlana Ulyanchenko
- Novo Nordisk Foundation Center for Stem Cell Medicine (reNEW), Faculty of Health and Medical Sciences, University of Copenhagen, 2200 Copenhagen N, Denmark
| | - Martti Maimets
- Novo Nordisk Foundation Center for Stem Cell Medicine (reNEW), Faculty of Health and Medical Sciences, University of Copenhagen, 2200 Copenhagen N, Denmark
| | - Astrid Møller Baattrup
- Novo Nordisk Foundation Center for Stem Cell Medicine (reNEW), Faculty of Health and Medical Sciences, University of Copenhagen, 2200 Copenhagen N, Denmark
| | - Lene Buhl Riis
- Department of Pathology, Herlev Hospital, University of Copenhagen, 2730 Herlev, Denmark
| | - Konstantin Khodosevich
- Biotech Research and Innovation Centre, University of Copenhagen, 2200 Copenhagen N, Denmark
| | - Toshiro Sato
- Department of Organoid Medicine, Keio University School of Medicine, Tokyo, Japan; Department of Gastroenterology, Keio University School of Medicine, Tokyo, Japan
| | - Raul Bardini Bressan
- Novo Nordisk Foundation Center for Stem Cell Medicine (reNEW), Faculty of Health and Medical Sciences, University of Copenhagen, 2200 Copenhagen N, Denmark.
| | - Ole Haagen Nielsen
- Department of Gastroenterology, Herlev Hospital, University of Copenhagen, 2730 Herlev, Denmark.
| | - Kim B Jensen
- Novo Nordisk Foundation Center for Stem Cell Medicine (reNEW), Faculty of Health and Medical Sciences, University of Copenhagen, 2200 Copenhagen N, Denmark; Biotech Research and Innovation Centre, University of Copenhagen, 2200 Copenhagen N, Denmark.
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Bakht MK, Beltran H. Biological determinants of PSMA expression, regulation and heterogeneity in prostate cancer. Nat Rev Urol 2024:10.1038/s41585-024-00900-z. [PMID: 38977769 DOI: 10.1038/s41585-024-00900-z] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Accepted: 05/21/2024] [Indexed: 07/10/2024]
Abstract
Prostate-specific membrane antigen (PSMA) is an important cell-surface imaging biomarker and therapeutic target in prostate cancer. The PSMA-targeted theranostic 177Lu-PSMA-617 was approved in 2022 for men with PSMA-PET-positive metastatic castration-resistant prostate cancer. However, not all patients respond to PSMA-radioligand therapy, in part owing to the heterogeneity of PSMA expression in the tumour. The PSMA regulatory network is composed of a PSMA transcription complex, an upstream enhancer that loops to the FOLH1 (PSMA) gene promoter, intergenic enhancers and differentially methylated regions. Our understanding of the PSMA regulatory network and the mechanisms underlying PSMA suppression is evolving. Clinically, molecular imaging provides a unique window into PSMA dynamics that occur on therapy and with disease progression, although challenges arise owing to the limited resolution of PET. PSMA regulation and heterogeneity - including intertumoural and inter-patient heterogeneity, temporal changes, lineage dynamics and the tumour microenvironment - affect PSMA theranostics. PSMA response and resistance to radioligand therapy are mediated by a number of potential mechanisms, and complementary biomarkers beyond PSMA are under development. Understanding the biological determinants of cell surface target regulation and heterogeneity can inform precision medicine approaches to PSMA theranostics as well as other emerging therapies.
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Affiliation(s)
- Martin K Bakht
- Department of Medical Oncology, Dana-Farber Cancer Institute, Boston, MA, USA
- Harvard Medical School, Boston, MA, USA
| | - Himisha Beltran
- Department of Medical Oncology, Dana-Farber Cancer Institute, Boston, MA, USA.
- Harvard Medical School, Boston, MA, USA.
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Ávila-Arres IE, Rodríguez Hernández E, Gómez Rosales S, Reis de Souza TC, Mariscal-Landín G. Proteomic Identification and Quantification of Basal Endogenous Proteins in the Ileal Digesta of Growing Pigs. Animals (Basel) 2024; 14:2000. [PMID: 38998112 PMCID: PMC11240675 DOI: 10.3390/ani14132000] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 05/27/2024] [Revised: 06/28/2024] [Accepted: 07/02/2024] [Indexed: 07/14/2024] Open
Abstract
The accurate estimation of basal endogenous losses (BEL) of amino acids at the ileum is indispensable to improve nutrient utilization efficiency. This study used a quantitative proteomic approach to identify variations in BEL in the ileal digesta of growing pigs fed a nitrogen-free diet (NFD) or a casein diet (CAS). Eight barrow pigs (39.8 ± 6.3 kg initial body weight (BW)) were randomly assigned to a 2 × 2 crossover design. A total of 348 proteins were identified and quantified in both treatments, of which 101 showed a significant differential abundance between the treatments (p < 0.05). Functional and pathway enrichment analyses revealed that the endogenous proteins were associated with intestinal metabolic function. Furthermore, differentially abundant proteins (DAPs) in the digesta of pigs fed the NFD enriched terms and pathways that suggest intestinal inflammation, the activation of innate antimicrobial host defense, an increase in cellular autophagy and epithelial turnover, and reduced synthesis of pancreatic and intestinal secretions. These findings suggest that casein diets may provide a more accurate estimation of BEL because they promote normal gastrointestinal secretions. Overall, proteomic and bioinformatic analyses provided valuable insights into the composition of endogenous proteins in the ileal digesta and their relationship with the functions, processes, and pathways modified by diet composition.
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Affiliation(s)
- Iris Elisa Ávila-Arres
- Posgrado en Ciencias de la Producción y de la Salud Animal, Facultad de Estudios Superiores Cuautitlán, Universidad Nacional Autónoma de México, Ciudad de México 04510, Mexico;
| | - Elba Rodríguez Hernández
- Centro Nacional de Investigación Disciplinaria en Fisiología y Mejoramiento Animal, INIFAP, Km 1 Carretera a Colón, Querétaro 76280, Mexico; (E.R.H.); (S.G.R.)
| | - Sergio Gómez Rosales
- Centro Nacional de Investigación Disciplinaria en Fisiología y Mejoramiento Animal, INIFAP, Km 1 Carretera a Colón, Querétaro 76280, Mexico; (E.R.H.); (S.G.R.)
| | - Tércia Cesária Reis de Souza
- Facultad de Ciencias Naturales, Universidad Autónoma de Querétaro, Av. de las Ciencias s/n, Querétaro 76230, Mexico;
| | - Gerardo Mariscal-Landín
- Centro Nacional de Investigación Disciplinaria en Fisiología y Mejoramiento Animal, INIFAP, Km 1 Carretera a Colón, Querétaro 76280, Mexico; (E.R.H.); (S.G.R.)
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Yuan X, Ma Y, Gao R, Cui S, Wang Y, Fa B, Ma S, Wei T, Ma S, Yu Z. HEARTSVG: a fast and accurate method for identifying spatially variable genes in large-scale spatial transcriptomics. Nat Commun 2024; 15:5700. [PMID: 38972896 PMCID: PMC11228050 DOI: 10.1038/s41467-024-49846-1] [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: 06/29/2023] [Accepted: 06/19/2024] [Indexed: 07/09/2024] Open
Abstract
Identifying spatially variable genes (SVGs) is crucial for understanding the spatiotemporal characteristics of diseases and tissue structures, posing a distinctive challenge in spatial transcriptomics research. We propose HEARTSVG, a distribution-free, test-based method for fast and accurately identifying spatially variable genes in large-scale spatial transcriptomic data. Extensive simulations demonstrate that HEARTSVG outperforms state-of-the-art methods with higherF 1 scores (averageF 1 Score=0.948), improved computational efficiency, scalability, and reduced false positives (FPs). Through analysis of twelve real datasets from various spatial transcriptomic technologies, HEARTSVG identifies a greater number of biologically significant SVGs (average AUC = 0.792) than other comparative methods without prespecifying spatial patterns. Furthermore, by clustering SVGs, we uncover two distinct tumor spatial domains characterized by unique spatial expression patterns, spatial-temporal locations, and biological functions in human colorectal cancer data, unraveling the complexity of tumors.
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Affiliation(s)
- Xin Yuan
- Department of Bioinformatics and Biostatistics, School of Life Sciences and Biotechnology, Shanghai Jiao Tong University, Shanghai, China
- SJTU-Yale Joint Center for Biostatistics and Data Science Organization, Shanghai Jiao Tong University, Shanghai, China
| | - Yanran Ma
- Department of Bioinformatics and Biostatistics, School of Life Sciences and Biotechnology, Shanghai Jiao Tong University, Shanghai, China
| | - Ruitian Gao
- Department of Bioinformatics and Biostatistics, School of Life Sciences and Biotechnology, Shanghai Jiao Tong University, Shanghai, China
| | - Shuya Cui
- Department of Bioinformatics and Biostatistics, School of Life Sciences and Biotechnology, Shanghai Jiao Tong University, Shanghai, China
- SJTU-Yale Joint Center for Biostatistics and Data Science Organization, Shanghai Jiao Tong University, Shanghai, China
| | - Yifan Wang
- Department of Bioinformatics and Biostatistics, School of Life Sciences and Biotechnology, Shanghai Jiao Tong University, Shanghai, China
| | - Botao Fa
- Department of Biochemistry and Molecular Biology, School of Basic Medical Sciences, Xi'an Jiaotong University, Xi'an, Shanxi, China
| | - Shiyang Ma
- Clinical Research Institute, Shanghai Jiao Tong University School of Medicine, Shanghai, China
| | - Ting Wei
- Department of Bioinformatics and Biostatistics, School of Life Sciences and Biotechnology, Shanghai Jiao Tong University, Shanghai, China
| | - Shuangge Ma
- SJTU-Yale Joint Center for Biostatistics and Data Science Organization, Shanghai Jiao Tong University, Shanghai, China.
- Department of Biostatistics, Yale University, New Haven, USA.
| | - Zhangsheng Yu
- Department of Bioinformatics and Biostatistics, School of Life Sciences and Biotechnology, Shanghai Jiao Tong University, Shanghai, China.
- SJTU-Yale Joint Center for Biostatistics and Data Science Organization, Shanghai Jiao Tong University, Shanghai, China.
- Clinical Research Institute, Shanghai Jiao Tong University School of Medicine, Shanghai, China.
- Center for Biomedical Data Science, Translational Science Institute, Shanghai Jiao Tong University School of Medicine, Shanghai, China.
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Sabbaghian M, Gheitasi H, Fadaee M, Javadi Henafard H, Tavakoli A, Shekarchi AA, Poortahmasebi V. Human cytomegalovirus microRNAs: strategies for immune evasion and viral latency. Arch Virol 2024; 169:157. [PMID: 38969819 DOI: 10.1007/s00705-024-06080-w] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 12/11/2023] [Accepted: 05/17/2024] [Indexed: 07/07/2024]
Abstract
Viruses use various strategies and mechanisms to deal with cells and proteins of the immune system that form a barrier against infection. One of these mechanisms is the encoding and production of viral microRNAs (miRNAs), whose function is to regulate the gene expression of the host cell and the virus, thus creating a suitable environment for survival and spreading viral infection. miRNAs are short, single-stranded, non-coding RNA molecules that can regulate the expression of host and viral proteins, and due to their non-immunogenic nature, they are not eliminated by the cells of the immune system. More than half of the viral miRNAs are encoded and produced by Orthoherpesviridae family members. Human cytomegalovirus (HCMV) produces miRNAs that mediate various processes in infected cells to contribute to HCMV pathogenicity, including immune escape, viral latency, and cell apoptosis. Here, we discuss which cellular and viral proteins or cellular pathways and processes these mysterious molecules target to evade immunity and support viral latency in infected cells. We also discuss current evidence that their function of bypassing the host's innate and adaptive immune system is essential for the survival and multiplication of the virus and the spread of HCMV infection.
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Affiliation(s)
- Mohammad Sabbaghian
- Department of Bacteriology and Virology, Faculty of Medicine, Tabriz University of Medical Sciences, Tabriz, Iran
| | - Hamidreza Gheitasi
- Department of Bacteriology and Virology, Faculty of Medicine, Tabriz University of Medical Sciences, Tabriz, Iran
| | - Manouchehr Fadaee
- Department of Immunology, Faculty of Medicine, Tabriz University of Medical Science, Tabriz, Iran
| | | | - Ahmad Tavakoli
- Research Center of Pediatric Infectious Diseases, Institute of Immunology and Infectious Diseases, Iran University of Medical Sciences, Tehran, Iran
| | - Ali Akbar Shekarchi
- Department of Pathology, Faculty of Medicine, Tabriz University of Medical Sciences, Tabriz, Iran
| | - Vahdat Poortahmasebi
- Department of Bacteriology and Virology, Faculty of Medicine, Tabriz University of Medical Sciences, Tabriz, Iran.
- Research Center for Clinical Virology, Tehran University of Medical Sciences, Tehran, Iran.
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Alayoubi Y, Bentsen M, Looso M. Scanpro is a tool for robust proportion analysis of single-cell resolution data. Sci Rep 2024; 14:15581. [PMID: 38971877 PMCID: PMC11227528 DOI: 10.1038/s41598-024-66381-7] [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: 09/21/2023] [Accepted: 07/01/2024] [Indexed: 07/08/2024] Open
Abstract
In higher organisms, individual cells respond to signals and perturbations by epigenetic regulation and transcriptional adaptation. However, in addition to shifting the expression level of individual genes, the adaptive response of cells can also lead to shifts in the proportions of different cell types. Recent methods such as scRNA-seq allow for the interrogation of expression on the single-cell level, and can quantify individual cell type clusters within complex tissue samples. In order to identify clusters showing differential composition between different biological conditions, differential proportion analysis has recently been introduced. However, bioinformatics tools for robust proportion analysis of both replicated and unreplicated single-cell datasets are critically missing. In this manuscript, we present Scanpro, a modular tool for proportion analysis, seamlessly integrating into widely accepted frameworks in the Python environment. Scanpro is fast, accurate, supports datasets without replicates, and is intended to be used by bioinformatics experts and beginners alike.
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Affiliation(s)
- Yousef Alayoubi
- Bioinformatics Core Unit (BCU), Max Planck Institute for Heart and Lung Research, Bad Nauheim, Germany
| | - Mette Bentsen
- Bioinformatics Core Unit (BCU), Max Planck Institute for Heart and Lung Research, Bad Nauheim, Germany
| | - Mario Looso
- Bioinformatics Core Unit (BCU), Max Planck Institute for Heart and Lung Research, Bad Nauheim, Germany.
- Cardio-Pulmonary Institute (CPI), Bad Nauheim, Germany.
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Coulton A, Murai J, Qian D, Thakkar K, Lewis CE, Litchfield K. Using a pan-cancer atlas to investigate tumour associated macrophages as regulators of immunotherapy response. Nat Commun 2024; 15:5665. [PMID: 38969631 PMCID: PMC11226649 DOI: 10.1038/s41467-024-49885-8] [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: 02/27/2023] [Accepted: 06/24/2024] [Indexed: 07/07/2024] Open
Abstract
The paradigm for macrophage characterization has evolved from the simple M1/M2 dichotomy to a more complex model that encompasses the broad spectrum of macrophage phenotypic diversity, due to differences in ontogeny and/or local stimuli. We currently lack an in-depth pan-cancer single cell RNA-seq (scRNAseq) atlas of tumour-associated macrophages (TAMs) that fully captures this complexity. In addition, an increased understanding of macrophage diversity could help to explain the variable responses of cancer patients to immunotherapy. Our atlas includes well established macrophage subsets as well as a number of additional ones. We associate macrophage composition with tumour phenotype and show macrophage subsets can vary between primary and metastatic tumours growing in sites like the liver. We also examine macrophage-T cell functional cross talk and identify two subsets of TAMs associated with T cell activation. Analysis of TAM signatures in a large cohort of immune checkpoint inhibitor-treated patients (CPI1000 + ) identify multiple TAM subsets associated with response, including the presence of a subset of TAMs that upregulate collagen-related genes. Finally, we demonstrate the utility of our data as a resource and reference atlas for mapping of novel macrophage datasets using projection. Overall, these advances represent an important step in both macrophage classification and overcoming resistance to immunotherapies in cancer.
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Affiliation(s)
- Alexander Coulton
- The Tumour Immunogenomics and Immunosurveillance (TIGI) Lab, UCL Cancer Institute, London, WC1E 6DD, UK
| | - Jun Murai
- The Tumour Immunogenomics and Immunosurveillance (TIGI) Lab, UCL Cancer Institute, London, WC1E 6DD, UK
| | - Danwen Qian
- The Tumour Immunogenomics and Immunosurveillance (TIGI) Lab, UCL Cancer Institute, London, WC1E 6DD, UK
| | - Krupa Thakkar
- The Tumour Immunogenomics and Immunosurveillance (TIGI) Lab, UCL Cancer Institute, London, WC1E 6DD, UK
| | - Claire E Lewis
- Department of Oncology and Metabolism, University of Sheffield Medical School, Beech Hill Road, Sheffield, Yorkshire, S10 2RX, UK.
| | - Kevin Litchfield
- The Tumour Immunogenomics and Immunosurveillance (TIGI) Lab, UCL Cancer Institute, London, WC1E 6DD, UK.
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Robinson W, Stone JK, Schischlik F, Gasmi B, Kelly MC, Seibert C, Dadkhah K, Gertz EM, Lee JS, Zhu K, Ma L, Wang XW, Sahinalp SC, Patro R, Leiserson MDM, Harris CC, Schäffer AA, Ruppin E. Identification of intracellular bacteria from multiple single-cell RNA-seq platforms using CSI-Microbes. SCIENCE ADVANCES 2024; 10:eadj7402. [PMID: 38959321 PMCID: PMC11221508 DOI: 10.1126/sciadv.adj7402] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [MESH Headings] [Grants] [Track Full Text] [Subscribe] [Scholar Register] [Received: 07/14/2023] [Accepted: 05/29/2024] [Indexed: 07/05/2024]
Abstract
The study of the tumor microbiome has been garnering increased attention. We developed a computational pipeline (CSI-Microbes) for identifying microbial reads from single-cell RNA sequencing (scRNA-seq) data and for analyzing differential abundance of taxa. Using a series of controlled experiments and analyses, we performed the first systematic evaluation of the efficacy of recovering microbial unique molecular identifiers by multiple scRNA-seq technologies, which identified the newer 10x chemistries (3' v3 and 5') as the best suited approach. We analyzed patient esophageal and colorectal carcinomas and found that reads from distinct genera tend to co-occur in the same host cells, testifying to possible intracellular polymicrobial interactions. Microbial reads are disproportionately abundant within myeloid cells that up-regulate proinflammatory cytokines like IL1Β and CXCL8, while infected tumor cells up-regulate antigen processing and presentation pathways. These results show that myeloid cells with bacteria engulfed are a major source of bacterial RNA within the tumor microenvironment (TME) and may inflame the TME and influence immunotherapy response.
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Affiliation(s)
- Welles Robinson
- Cancer Data Science Laboratory, Center for Cancer Research, National Cancer Institute, Bethesda, MD 20892, USA
- Center for Bioinformatics and Computational Biology, University of Maryland, College Park, MD 20910, USA
- Department of Computer Science, University of Maryland, College Park, MD 20910, USA
- Surgery Branch, Center for Cancer Research, National Cancer Institute, Bethesda, MD 20892, USA
- Tumour Immunogenomics and Immunosurveillance Laboratory, Department of Oncology, University College London, London, UK
| | - Joshua K. Stone
- Laboratory of Human Carcinogenesis, Center for Cancer Research, National Cancer Institute, Bethesda, MD 20892, USA
| | - Fiorella Schischlik
- Cancer Data Science Laboratory, Center for Cancer Research, National Cancer Institute, Bethesda, MD 20892, USA
| | - Billel Gasmi
- Surgery Branch, Center for Cancer Research, National Cancer Institute, Bethesda, MD 20892, USA
| | - Michael C. Kelly
- Center for Cancer Research Single Cell Analysis Facility, Frederick National Laboratory for Cancer Research, Bethesda, MD 20701, USA
| | - Charlie Seibert
- Center for Cancer Research Single Cell Analysis Facility, Frederick National Laboratory for Cancer Research, Bethesda, MD 20701, USA
| | - Kimia Dadkhah
- Center for Cancer Research Single Cell Analysis Facility, Frederick National Laboratory for Cancer Research, Bethesda, MD 20701, USA
| | - E. Michael Gertz
- Cancer Data Science Laboratory, Center for Cancer Research, National Cancer Institute, Bethesda, MD 20892, USA
| | - Joo Sang Lee
- Department of Artificial Intelligence and Department of Precision Medicine, School of Medicine, Sungkyunkwan University, Suwon 16419, Republic of Korea
| | - Kaiyuan Zhu
- Cancer Data Science Laboratory, Center for Cancer Research, National Cancer Institute, Bethesda, MD 20892, USA
- Department of Computer Science, Indiana University, Bloomington, IN 47408, USA
- Department of Computer Science and Engineering, University of California, San Diego, La Jolla, CA 92093, USA
| | - Lichun Ma
- Cancer Data Science Laboratory, Center for Cancer Research, National Cancer Institute, Bethesda, MD 20892, USA
| | - Xin Wei Wang
- Laboratory of Human Carcinogenesis, Center for Cancer Research, National Cancer Institute, Bethesda, MD 20892, USA
| | - S. Cenk Sahinalp
- Cancer Data Science Laboratory, Center for Cancer Research, National Cancer Institute, Bethesda, MD 20892, USA
| | - Rob Patro
- Center for Bioinformatics and Computational Biology, University of Maryland, College Park, MD 20910, USA
- Department of Computer Science, University of Maryland, College Park, MD 20910, USA
| | - Mark D. M. Leiserson
- Center for Bioinformatics and Computational Biology, University of Maryland, College Park, MD 20910, USA
- Department of Computer Science, University of Maryland, College Park, MD 20910, USA
| | - Curtis C. Harris
- Laboratory of Human Carcinogenesis, Center for Cancer Research, National Cancer Institute, Bethesda, MD 20892, USA
| | - Alejandro A. Schäffer
- Cancer Data Science Laboratory, Center for Cancer Research, National Cancer Institute, Bethesda, MD 20892, USA
| | - Eytan Ruppin
- Cancer Data Science Laboratory, Center for Cancer Research, National Cancer Institute, Bethesda, MD 20892, USA
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Singh PNP, Gu W, Madha S, Lynch AW, Cejas P, He R, Bhattacharya S, Muñoz Gomez M, Oser MG, Brown M, Long HW, Meyer CA, Zhou Q, Shivdasani RA. Transcription factor dynamics, oscillation, and functions in human enteroendocrine cell differentiation. Cell Stem Cell 2024; 31:1038-1057.e11. [PMID: 38733993 DOI: 10.1016/j.stem.2024.04.015] [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: 11/29/2023] [Revised: 03/17/2024] [Accepted: 04/19/2024] [Indexed: 05/13/2024]
Abstract
Enteroendocrine cells (EECs) secrete serotonin (enterochromaffin [EC] cells) or specific peptide hormones (non-EC cells) that serve vital metabolic functions. The basis for terminal EEC diversity remains obscure. By forcing activity of the transcription factor (TF) NEUROG3 in 2D cultures of human intestinal stem cells, we replicated physiologic EEC differentiation and examined transcriptional and cis-regulatory dynamics that culminate in discrete cell types. Abundant EEC precursors expressed stage-specific genes and TFs. Before expressing pre-terminal NEUROD1, post-mitotic precursors oscillated between transcriptionally distinct ASCL1+ and HES6hi cell states. Loss of either factor accelerated EEC differentiation substantially and disrupted EEC individuality; ASCL1 or NEUROD1 deficiency had opposing consequences on EC and non-EC cell features. These TFs mainly bind cis-elements that are accessible in undifferentiated stem cells, and they tailor subsequent expression of TF combinations that underlie discrete EEC identities. Thus, early TF oscillations retard EEC maturation to enable accurate diversity within a medically important cell lineage.
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Affiliation(s)
- Pratik N P Singh
- Department of Medical Oncology, Dana-Farber Cancer Institute, Boston, MA 02215, USA; Center for Functional Cancer Epigenetics, Dana-Farber Cancer Institute, Boston, MA 02215, USA
| | - Wei Gu
- Division of Regenerative Medicine, Department of Medicine, Weill Cornell Medicine, New York, NY 10065, USA
| | - Shariq Madha
- Department of Medical Oncology, Dana-Farber Cancer Institute, Boston, MA 02215, USA
| | - Allen W Lynch
- Center for Functional Cancer Epigenetics, Dana-Farber Cancer Institute, Boston, MA 02215, USA
| | - Paloma Cejas
- Center for Functional Cancer Epigenetics, Dana-Farber Cancer Institute, Boston, MA 02215, USA
| | - Ruiyang He
- Center for Functional Cancer Epigenetics, Dana-Farber Cancer Institute, Boston, MA 02215, USA
| | - Swarnabh Bhattacharya
- Department of Medical Oncology, Dana-Farber Cancer Institute, Boston, MA 02215, USA; Center for Functional Cancer Epigenetics, Dana-Farber Cancer Institute, Boston, MA 02215, USA
| | - Miguel Muñoz Gomez
- Center for Functional Cancer Epigenetics, Dana-Farber Cancer Institute, Boston, MA 02215, USA
| | - Matthew G Oser
- Department of Medical Oncology, Dana-Farber Cancer Institute, Boston, MA 02215, USA; Departments of Medicine, Brigham & Women's Hospital and Harvard Medical School, Boston, MA 02115, USA
| | - Myles Brown
- Department of Medical Oncology, Dana-Farber Cancer Institute, Boston, MA 02215, USA; Center for Functional Cancer Epigenetics, Dana-Farber Cancer Institute, Boston, MA 02215, USA; Departments of Medicine, Brigham & Women's Hospital and Harvard Medical School, Boston, MA 02115, USA
| | - Henry W Long
- Center for Functional Cancer Epigenetics, Dana-Farber Cancer Institute, Boston, MA 02215, USA
| | - Clifford A Meyer
- Center for Functional Cancer Epigenetics, Dana-Farber Cancer Institute, Boston, MA 02215, USA
| | - Qiao Zhou
- Division of Regenerative Medicine, Department of Medicine, Weill Cornell Medicine, New York, NY 10065, USA.
| | - Ramesh A Shivdasani
- Department of Medical Oncology, Dana-Farber Cancer Institute, Boston, MA 02215, USA; Center for Functional Cancer Epigenetics, Dana-Farber Cancer Institute, Boston, MA 02215, USA; Departments of Medicine, Brigham & Women's Hospital and Harvard Medical School, Boston, MA 02115, USA; Harvard Stem Cell Institute, Cambridge, MA 02138, USA.
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Grenko CM, Taylor HJ, Bonnycastle LL, Xue D, Lee BN, Weiss Z, Yan T, Swift AJ, Mansell EC, Lee A, Robertson CC, Narisu N, Erdos MR, Chen S, Collins FS, Taylor DL. Single-cell transcriptomic profiling of human pancreatic islets reveals genes responsive to glucose exposure over 24 h. Diabetologia 2024:10.1007/s00125-024-06214-4. [PMID: 38967666 DOI: 10.1007/s00125-024-06214-4] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Grants] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 03/04/2024] [Accepted: 05/08/2024] [Indexed: 07/06/2024]
Abstract
AIMS/HYPOTHESIS Disruption of pancreatic islet function and glucose homeostasis can lead to the development of sustained hyperglycaemia, beta cell glucotoxicity and subsequently type 2 diabetes. In this study, we explored the effects of in vitro hyperglycaemic conditions on human pancreatic islet gene expression across 24 h in six pancreatic cell types: alpha; beta; gamma; delta; ductal; and acinar. We hypothesised that genes associated with hyperglycaemic conditions may be relevant to the onset and progression of diabetes. METHODS We exposed human pancreatic islets from two donors to low (2.8 mmol/l) and high (15.0 mmol/l) glucose concentrations over 24 h in vitro. To assess the transcriptome, we performed single-cell RNA-seq (scRNA-seq) at seven time points. We modelled time as both a discrete and continuous variable to determine momentary and longitudinal changes in transcription associated with islet time in culture or glucose exposure. Additionally, we integrated genomic features and genetic summary statistics to nominate candidate effector genes. For three of these genes, we functionally characterised the effect on insulin production and secretion using CRISPR interference to knock down gene expression in EndoC-βH1 cells, followed by a glucose-stimulated insulin secretion assay. RESULTS In the discrete time models, we identified 1344 genes associated with time and 668 genes associated with glucose exposure across all cell types and time points. In the continuous time models, we identified 1311 genes associated with time, 345 genes associated with glucose exposure and 418 genes associated with interaction effects between time and glucose across all cell types. By integrating these expression profiles with summary statistics from genetic association studies, we identified 2449 candidate effector genes for type 2 diabetes, HbA1c, random blood glucose and fasting blood glucose. Of these candidate effector genes, we showed that three (ERO1B, HNRNPA2B1 and RHOBTB3) exhibited an effect on glucose-stimulated insulin production and secretion in EndoC-βH1 cells. CONCLUSIONS/INTERPRETATION The findings of our study provide an in-depth characterisation of the 24 h transcriptomic response of human pancreatic islets to glucose exposure at a single-cell resolution. By integrating differentially expressed genes with genetic signals for type 2 diabetes and glucose-related traits, we provide insights into the molecular mechanisms underlying glucose homeostasis. Finally, we provide functional evidence to support the role of three candidate effector genes in insulin secretion and production. DATA AVAILABILITY The scRNA-seq data from the 24 h glucose exposure experiment performed in this study are available in the database of Genotypes and Phenotypes (dbGap; https://www.ncbi.nlm.nih.gov/gap/ ) with accession no. phs001188.v3.p1. Study metadata and summary statistics for the differential expression, gene set enrichment and candidate effector gene prediction analyses are available in the Zenodo data repository ( https://zenodo.org/ ) under accession number 11123248. The code used in this study is publicly available at https://github.com/CollinsLabBioComp/publication-islet_glucose_timecourse .
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Affiliation(s)
- Caleb M Grenko
- Center for Precision Health Research, National Human Genome Research Institute, National Institutes of Health, Bethesda, MD, USA
- Graduate School of Biomedical Sciences, Mayo Clinic, Rochester, MN, USA
| | - Henry J Taylor
- Center for Precision Health Research, National Human Genome Research Institute, National Institutes of Health, Bethesda, MD, USA.
- British Heart Foundation Cardiovascular Epidemiology Unit, Department of Public Health and Primary Care, University of Cambridge, Cambridge, UK.
- Heart and Lung Research Institute, University of Cambridge, Cambridge, UK.
| | - Lori L Bonnycastle
- Center for Precision Health Research, National Human Genome Research Institute, National Institutes of Health, Bethesda, MD, USA
| | - Dongxiang Xue
- Department of Surgery, Weill Cornell Medicine, New York, NY, USA
- Center for Genomic Health, Weill Cornell Medicine, New York, NY, USA
| | - Brian N Lee
- Center for Precision Health Research, National Human Genome Research Institute, National Institutes of Health, Bethesda, MD, USA
| | - Zoe Weiss
- Center for Precision Health Research, National Human Genome Research Institute, National Institutes of Health, Bethesda, MD, USA
| | - Tingfen Yan
- Center for Precision Health Research, National Human Genome Research Institute, National Institutes of Health, Bethesda, MD, USA
| | - Amy J Swift
- Center for Precision Health Research, National Human Genome Research Institute, National Institutes of Health, Bethesda, MD, USA
| | - Erin C Mansell
- Center for Precision Health Research, National Human Genome Research Institute, National Institutes of Health, Bethesda, MD, USA
| | - Angela Lee
- Center for Precision Health Research, National Human Genome Research Institute, National Institutes of Health, Bethesda, MD, USA
| | - Catherine C Robertson
- Center for Precision Health Research, National Human Genome Research Institute, National Institutes of Health, Bethesda, MD, USA
- Department of Computational Medicine and Bioinformatics, University of Michigan, Ann Arbor, MI, USA
| | - Narisu Narisu
- Center for Precision Health Research, National Human Genome Research Institute, National Institutes of Health, Bethesda, MD, USA
| | - Michael R Erdos
- Center for Precision Health Research, National Human Genome Research Institute, National Institutes of Health, Bethesda, MD, USA
| | - Shuibing Chen
- Department of Surgery, Weill Cornell Medicine, New York, NY, USA
- Center for Genomic Health, Weill Cornell Medicine, New York, NY, USA
| | - Francis S Collins
- Center for Precision Health Research, National Human Genome Research Institute, National Institutes of Health, Bethesda, MD, USA.
| | - D Leland Taylor
- Center for Precision Health Research, National Human Genome Research Institute, National Institutes of Health, Bethesda, MD, USA
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50
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Gilliland T, Dron JS, Selvaraj MS, Trinder M, Paruchuri K, Urbut SM, Haidermota S, Bernardo R, Uddin MM, Honigberg MC, Peloso GM, Natarajan P. Genetic Architecture and Clinical Outcomes of Combined Lipid Disturbances. Circ Res 2024; 135:265-276. [PMID: 38828614 PMCID: PMC11223949 DOI: 10.1161/circresaha.123.323973] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 11/10/2023] [Accepted: 05/20/2024] [Indexed: 06/05/2024]
Abstract
BACKGROUND Dyslipoproteinemia often involves simultaneous derangements of multiple lipid traits. We aimed to evaluate the phenotypic and genetic characteristics of combined lipid disturbances in a general population-based cohort. METHODS Among UK Biobank participants without prevalent coronary artery disease, we used blood lipid and apolipoprotein B concentrations to ascribe individuals into 1 of 6 reproducible and mutually exclusive dyslipoproteinemia subtypes. Incident coronary artery disease risk was estimated for each subtype using Cox proportional hazards models. Phenome-wide analyses and genome-wide association studies were performed for each subtype, followed by in silico causal gene prioritization and heritability analyses. Additionally, the prevalence of disruptive variants in causal genes for Mendelian lipid disorders was assessed using whole-exome sequence data. RESULTS Among 450 636 UK Biobank participants: 63 (0.01%) had chylomicronemia; 40 005 (8.9%) had hypercholesterolemia; 94 785 (21.0%) had combined hyperlipidemia; 13 998 (3.1%) had remnant hypercholesterolemia; 110 389 (24.5%) had hypertriglyceridemia; and 49 (0.01%) had mixed hypertriglyceridemia and hypercholesterolemia. Over a median (interquartile range) follow-up of 11.1 (10.4-11.8) years, incident coronary artery disease risk varied across subtypes, with combined hyperlipidemia exhibiting the largest hazard (hazard ratio, 1.92 [95% CI, 1.84-2.01]; P=2×10-16), even when accounting for non-HDL-C (hazard ratio, 1.45 [95% CI, 1.30-1.60]; P=2.6×10-12). Genome-wide association studies revealed 250 loci significantly associated with dyslipoproteinemia subtypes, of which 72 (28.8%) were not detected in prior single lipid trait genome-wide association studies. Mendelian lipid variant carriers were rare (2.0%) among individuals with dyslipoproteinemia, but polygenic heritability was high, ranging from 23% for remnant hypercholesterolemia to 54% for combined hyperlipidemia. CONCLUSIONS Simultaneous assessment of multiple lipid derangements revealed nuanced differences in coronary artery disease risk and genetic architectures across dyslipoproteinemia subtypes. These findings highlight the importance of looking beyond single lipid traits to better understand combined lipid and lipoprotein phenotypes and implications for disease risk.
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Affiliation(s)
- Thomas Gilliland
- Cardiovascular Research Center, Massachusetts General Hospital, Boston, MA
- Program in Medical and Population Genetics and the Cardiovascular Disease Initiative, Broad Institute of Harvard and MIT, Cambridge, MA
- Department of Medicine, Harvard Medical School, Boston, MA
| | - Jacqueline S. Dron
- Program in Medical and Population Genetics and the Cardiovascular Disease Initiative, Broad Institute of Harvard and MIT, Cambridge, MA
- Center for Genomic Medicine, Massachusetts General Hospital, Boston, MA
| | - Margaret Sunitha Selvaraj
- Cardiovascular Research Center, Massachusetts General Hospital, Boston, MA
- Program in Medical and Population Genetics and the Cardiovascular Disease Initiative, Broad Institute of Harvard and MIT, Cambridge, MA
- Department of Medicine, Harvard Medical School, Boston, MA
| | - Mark Trinder
- Program in Medical and Population Genetics and the Cardiovascular Disease Initiative, Broad Institute of Harvard and MIT, Cambridge, MA
- Centre for Heart Lung Innovation, University of British Columbia, Vancouver, BC
| | - Kaavya Paruchuri
- Cardiovascular Research Center, Massachusetts General Hospital, Boston, MA
- Program in Medical and Population Genetics and the Cardiovascular Disease Initiative, Broad Institute of Harvard and MIT, Cambridge, MA
- Department of Medicine, Harvard Medical School, Boston, MA
| | - Sarah M. Urbut
- Cardiovascular Research Center, Massachusetts General Hospital, Boston, MA
- Program in Medical and Population Genetics and the Cardiovascular Disease Initiative, Broad Institute of Harvard and MIT, Cambridge, MA
- Department of Medicine, Harvard Medical School, Boston, MA
| | - Sara Haidermota
- Cardiovascular Research Center, Massachusetts General Hospital, Boston, MA
- Program in Medical and Population Genetics and the Cardiovascular Disease Initiative, Broad Institute of Harvard and MIT, Cambridge, MA
| | - Rachel Bernardo
- Cardiovascular Research Center, Massachusetts General Hospital, Boston, MA
- Program in Medical and Population Genetics and the Cardiovascular Disease Initiative, Broad Institute of Harvard and MIT, Cambridge, MA
| | - Md Mesbah Uddin
- Cardiovascular Research Center, Massachusetts General Hospital, Boston, MA
- Program in Medical and Population Genetics and the Cardiovascular Disease Initiative, Broad Institute of Harvard and MIT, Cambridge, MA
| | - Michael C. Honigberg
- Cardiovascular Research Center, Massachusetts General Hospital, Boston, MA
- Program in Medical and Population Genetics and the Cardiovascular Disease Initiative, Broad Institute of Harvard and MIT, Cambridge, MA
- Department of Medicine, Harvard Medical School, Boston, MA
| | - Gina M. Peloso
- Department of Biostatistics, Boston University School of Public Health, Boston, MA
| | - Pradeep Natarajan
- Cardiovascular Research Center, Massachusetts General Hospital, Boston, MA
- Program in Medical and Population Genetics and the Cardiovascular Disease Initiative, Broad Institute of Harvard and MIT, Cambridge, MA
- Department of Medicine, Harvard Medical School, Boston, MA
- Center for Genomic Medicine, Massachusetts General Hospital, Boston, MA
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