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Du C, Wang C, Liu Z, Xin W, Zhang Q, Ali A, Zeng X, Li Z, Ma C. Machine learning algorithms integrate bulk and single-cell RNA data to unveil oxidative stress following intracerebral hemorrhage. Int Immunopharmacol 2024; 137:112449. [PMID: 38865753 DOI: 10.1016/j.intimp.2024.112449] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 04/11/2024] [Revised: 06/04/2024] [Accepted: 06/06/2024] [Indexed: 06/14/2024]
Abstract
BACKGROUND Increased oxidative stress (OS) activity following intracerebral hemorrhage (ICH) had significantly impacting patient prognosis. Identifying optimal genes associated with OS could enhance the understanding of OS after ICH. METHODS We employed single-cell RNA sequencing (scRNA-seq) to investigate the heterogeneity of OS across various cellular tiers following ICH, aiming to acquire biological insights into ICH. We utilized AUCell, Ucell, singscore, ssgsea, and AddModuleScore algorithms, along with correlation analysis, to identify hub genes influencing high OS post-ICH. Furthermore, we employed four machine learning algorithms, eXtreme Gradient Boosting, Boruta, Random Forest, and Least Absolute Shrinkage and Selection Operator, to identify the optimal feature genes. To validate the accuracy of our analysis, we conducted validation in ICH animal experiments. RESULTS After analyzing the scRNA-seq dataset using various algorithms, we found that OS activity exhibited heterogeneity across different cellular layers following ICH, with particularly heightened activity observed in monocytes. Further integration of bulk data and machine learning algorithms revealed that ANXA2 and COTL1 were closely associated with high OS after ICH. Our animal experiments demonstrated an increase in OS expression post-ICH. Additionally, the protein expression of ANXA2 and COTL1 was significantly elevated and co-localized with microglia. Pearson correlation coefficient analysis revealed a significant correlation between ANXA2 and OS, indicating strong consistency (r = 0.84, p < 0.05). Similar results were observed for COTL1 and OS (r = 0.69, p < 0.05). CONCLUSIONS Following ICH, ANXA2 and COTL1 might penetrate the brain via monocytes, localize within microglia, and enhance OS activity. This might help us better understand OS after ICH.
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Affiliation(s)
- Chaonan Du
- Department of Neurosurgery, Nanjing Jinling Hospital, Affiliated Hospital of Medical School, Nanjing University, Nanjing, China
| | - Cong Wang
- Jinling Clinical Medical College, Nanjing University of Chinese Medicine, Nanjing, China; Department of Neurosurgery, Anhui Wannan Rehabilitation Hospital (The Fifth People's Hospital of Wuhu), Wuhu, China
| | - Zhiwei Liu
- Jinling Clinical Medical College, Nanjing University of Chinese Medicine, Nanjing, China
| | - Wenxuan Xin
- Jinling Clinical Medical College, Nanjing University of Chinese Medicine, Nanjing, China
| | - Qizhe Zhang
- Department of Neurosurgery, Nanjing Jinling Hospital, Affiliated Hospital of Medical School, Nanjing University, Nanjing, China
| | - Alleyar Ali
- Department of Neurosurgery, The Affiliated Jinling Hospital of Nanjing Medical University, Nanjing, China
| | - Xinrui Zeng
- Department of Neurosurgery, School of Medicine, Southeast University, Nanjing, China
| | - Zhenxing Li
- Department of Neurosurgery, Nanjing Jinling Hospital, Affiliated Hospital of Medical School, Nanjing University, Nanjing, China.
| | - Chiyuan Ma
- Department of Neurosurgery, Nanjing Jinling Hospital, Affiliated Hospital of Medical School, Nanjing University, Nanjing, China; Jinling Clinical Medical College, Nanjing University of Chinese Medicine, Nanjing, China; Department of Neurosurgery, The Affiliated Jinling Hospital of Nanjing Medical University, Nanjing, China; Department of Neurosurgery, School of Medicine, Southeast University, Nanjing, China; Department of Neurosurgery, The First School of Clinical Medicine, Southern Medical University, Guangzhou, China.
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2
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Gu L, Chen H, Sun M, Chen Y, Shi Q, Chang J, Wei J, Ma W, Bao X, Wang R. Unraveling dynamic immunological landscapes in intracerebral hemorrhage: insights from single-cell and spatial transcriptomic profiling. MedComm (Beijing) 2024; 5:e635. [PMID: 38988493 PMCID: PMC11233862 DOI: 10.1002/mco2.635] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Grants] [Track Full Text] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 11/29/2023] [Revised: 05/31/2024] [Accepted: 06/04/2024] [Indexed: 07/12/2024] Open
Abstract
Intracerebral hemorrhage (ICH) poses a formidable challenge in stroke management, with limited therapeutic options, particularly in the realm of immune-targeted interventions. Clinical trials targeting immune responses post-ICH have encountered setbacks, potentially attributable to the substantial cellular heterogeneity and intricate intercellular networks within the brain. Here, we present a pioneering investigation utilizing single-cell RNA sequencing and spatial transcriptome profiling at hyperacute (1 h), acute (24 h), and subacute (7 days) intervals post-ICH, aimed at unraveling the dynamic immunological landscape and spatial distributions within the cerebral tissue. Our comprehensive analysis revealed distinct cell differentiation patterns among myeloid and lymphocyte populations, along with delineated spatial distributions across various brain regions. Notably, we identified a subset of lymphocytes characterized by the expression of Spp1 and Lyz2, termed macrophage-associated lymphocytes, which exhibited close interactions with myeloid cells. Specifically, we observed prominent interactions between Lgmn+Macro-T cells and microglia through the spp1-cd44 pathway during the acute phase post-ICH in the choroid plexus. These findings represent a significant advancement in our understanding of immune cell dynamics at single-cell resolution across distinct post-ICH time points, thereby laying the groundwork for exploring critical temporal windows and informing the development of targeted therapeutic strategies.
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Affiliation(s)
- Lingui Gu
- Department of NeurosurgeryPeking Union Medical College Hospital, Chinese Academy of Medical Sciences and Peking Union Medical CollegeBeijingChina
| | - Hualin Chen
- Department of NeurosurgeryPeking Union Medical College Hospital, Chinese Academy of Medical Sciences and Peking Union Medical CollegeBeijingChina
| | - Mingjiang Sun
- Beijing Neurosurgical Institute, Beijing Tiantan Hospital, Capital Medical UniversityBeijingChina
| | - Yihao Chen
- Department of NeurosurgeryPeking Union Medical College Hospital, Chinese Academy of Medical Sciences and Peking Union Medical CollegeBeijingChina
| | - Qinglei Shi
- Research Institute of Big Data, Chinese University of Hong Kong (Shenzhen) School of MedicineShenzhenChina
| | - Jianbo Chang
- Department of NeurosurgeryPeking Union Medical College Hospital, Chinese Academy of Medical Sciences and Peking Union Medical CollegeBeijingChina
| | - Junji Wei
- Department of NeurosurgeryPeking Union Medical College Hospital, Chinese Academy of Medical Sciences and Peking Union Medical CollegeBeijingChina
| | - Wenbin Ma
- Department of NeurosurgeryPeking Union Medical College Hospital, Chinese Academy of Medical Sciences and Peking Union Medical CollegeBeijingChina
| | - Xinjie Bao
- Department of NeurosurgeryPeking Union Medical College Hospital, Chinese Academy of Medical Sciences and Peking Union Medical CollegeBeijingChina
- State Key Laboratory of Common Mechanism Research for Major DiseasesBeijingChina
| | - Renzhi Wang
- Department of NeurosurgeryPeking Union Medical College Hospital, Chinese Academy of Medical Sciences and Peking Union Medical CollegeBeijingChina
- School of MedicineThe Chinese University of Hong KongShenzhenGuangdongChina
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3
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Awuah WA, Ahluwalia A, Ghosh S, Roy S, Tan JK, Adebusoye FT, Ferreira T, Bharadwaj HR, Shet V, Kundu M, Yee ALW, Abdul-Rahman T, Atallah O. The molecular landscape of neurological disorders: insights from single-cell RNA sequencing in neurology and neurosurgery. Eur J Med Res 2023; 28:529. [PMID: 37974227 PMCID: PMC10652629 DOI: 10.1186/s40001-023-01504-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: 08/10/2023] [Accepted: 11/03/2023] [Indexed: 11/19/2023] Open
Abstract
Single-cell ribonucleic acid sequencing (scRNA-seq) has emerged as a transformative technology in neurological and neurosurgical research, revolutionising our comprehension of complex neurological disorders. In brain tumours, scRNA-seq has provided valuable insights into cancer heterogeneity, the tumour microenvironment, treatment resistance, and invasion patterns. It has also elucidated the brain tri-lineage cancer hierarchy and addressed limitations of current models. Neurodegenerative diseases such as Alzheimer's disease, Parkinson's disease, and amyotrophic lateral sclerosis have been molecularly subtyped, dysregulated pathways have been identified, and potential therapeutic targets have been revealed using scRNA-seq. In epilepsy, scRNA-seq has explored the cellular and molecular heterogeneity underlying the condition, uncovering unique glial subpopulations and dysregulation of the immune system. ScRNA-seq has characterised distinct cellular constituents and responses to spinal cord injury in spinal cord diseases, as well as provided molecular signatures of various cell types and identified interactions involved in vascular remodelling. Furthermore, scRNA-seq has shed light on the molecular complexities of cerebrovascular diseases, such as stroke, providing insights into specific genes, cell-specific expression patterns, and potential therapeutic interventions. This review highlights the potential of scRNA-seq in guiding precision medicine approaches, identifying clinical biomarkers, and facilitating therapeutic discovery. However, challenges related to data analysis, standardisation, sample acquisition, scalability, and cost-effectiveness need to be addressed. Despite these challenges, scRNA-seq has the potential to transform clinical practice in neurological and neurosurgical research by providing personalised insights and improving patient outcomes.
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Affiliation(s)
- Wireko Andrew Awuah
- Faculty of Medicine, Sumy State University, Zamonstanksya 7, Sumy, 40007, Ukraine
| | | | - Shankaneel Ghosh
- Institute of Medical Sciences and SUM Hospital, Bhubaneswar, India
| | - Sakshi Roy
- School of Medicine, Queen's University Belfast, Belfast, UK
| | | | | | - Tomas Ferreira
- Department of Clinical Neurosciences, School of Clinical Medicine, University of Cambridge, Cambridge, UK
| | | | - Vallabh Shet
- Faculty of Medicine, Bangalore Medical College and Research Institute, Bangalore, Karnataka, India
| | - Mrinmoy Kundu
- Institute of Medical Sciences and SUM Hospital, Bhubaneswar, India
| | | | - Toufik Abdul-Rahman
- Faculty of Medicine, Sumy State University, Zamonstanksya 7, Sumy, 40007, Ukraine
| | - Oday Atallah
- Department of Neurosurgery, Hannover Medical School, Carl-Neuberg-Strasse 1, 30625, Hannover, Germany
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4
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Activation of Nrf2 to Optimise Immune Responses to Intracerebral Haemorrhage. Biomolecules 2022; 12:biom12101438. [PMID: 36291647 PMCID: PMC9599325 DOI: 10.3390/biom12101438] [Citation(s) in RCA: 5] [Impact Index Per Article: 2.5] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 09/04/2022] [Revised: 09/30/2022] [Accepted: 10/04/2022] [Indexed: 11/17/2022] Open
Abstract
Haemorrhage into the brain parenchyma can be devastating. This manifests as spontaneous intracerebral haemorrhage (ICH) after head trauma, and in the context of vascular dementia. Randomised controlled trials have not reliably shown that haemostatic treatments aimed at limiting ICH haematoma expansion and surgical approaches to reducing haematoma volume are effective. Consequently, treatments to modulate the pathophysiological responses to ICH, which may cause secondary brain injury, are appealing. Following ICH, microglia and monocyte derived cells are recruited to the peri-haematomal environment where they phagocytose haematoma breakdown products and secrete inflammatory cytokines, which may trigger both protective and harmful responses. The transcription factor Nrf2, is activated by oxidative stress, is highly expressed by central nervous system microglia and macroglia. When active, Nrf2 induces a transcriptional programme characterised by increased expression of antioxidant, haem and heavy metal detoxification and proteostasis genes, as well as suppression of proinflammatory factors. Therefore, Nrf2 activation may facilitate adaptive-protective immune cell responses to ICH by boosting resistance to oxidative stress and heavy metal toxicity, whilst limiting harmful inflammatory signalling, which can contribute to further blood brain barrier dysfunction and cerebral oedema. In this review, we consider the responses of immune cells to ICH and how these might be modulated by Nrf2 activation. Finally, we propose potential therapeutic strategies to harness Nrf2 to improve the outcomes of patients with ICH.
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5
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Zhao H, Zhu J, Ju L, Sun L, Tse LA, Kinra S, Li Y. Osteoarthritis & stroke: a bidirectional mendelian randomization study. Osteoarthritis Cartilage 2022; 30:1390-1397. [PMID: 35798177 DOI: 10.1016/j.joca.2022.06.006] [Citation(s) in RCA: 12] [Impact Index Per Article: 6.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 12/07/2021] [Revised: 06/17/2022] [Accepted: 06/23/2022] [Indexed: 02/02/2023]
Abstract
OBJECTIVE The epidemiological evidence on the link between osteoarthritis (OA) and stroke remains inconclusive. Herein, we adopted a two-sample bidirectional Mendelian randomization (MR) study to determine the causality relationship between OA and stroke. DESIGN Summary-level data derived from the published genome-wide association studies (GWAS) were employed for analyses. The data for OA at any site (n = 455,211), knee OA (n = 403,124), and hip OA (n = 393,873) were obtained from a meta-analysis of GWAS available in the UK Biobank and Arthritis Research UK Osteoarthritis Genetics resources. The MEGASTROKE consortium provided data for stroke (n = 446,696), ischemic stroke (IS) (n = 440,328) and its subtypes, and intracerebral hemorrhage (ICH) (n = 3,026). The main MR analysis was conducted by the inverse variance weighted (IVW) method. MR-Egger regression, MR pleiotropy residual sum and outlier, weighted median, Cochran Q statistic, and leave-one-out analysis approach were leveraged as supplements. RESULTS We detected that higher risk of hip OA was significantly associated with overall stroke [IVW odds ratio (OR): 1.12, 95% confidence interval (CI): 1.06-1.20, P = 0.0002], IS (OR: 1.13, 95%CI: 1.06-1.21, P = 0.0003), and small vessel IS (OR: 1.25, 95%CI: 1.10-1.42, P = 0.0006). However, we found no evidence that stroke and subtypes had casual effects on OA in the reverse MR analyses. CONCLUSIONS The present study provides genetic support that hip OA is a potential risk factor for overall stroke, IS, and small vessel IS. Further studies are warranted to elucidate the underlying mechanisms of causal associations between site-specific OA and stroke subtypes.
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Affiliation(s)
- H Zhao
- School of Public Health, Hangzhou Medical College, Hangzhou 310053, China
| | - J Zhu
- School of Public Health, Hangzhou Medical College, Hangzhou 310053, China
| | - L Ju
- School of Public Health, Hangzhou Medical College, Hangzhou 310053, China
| | - L Sun
- Department of Orthopaedics, The Second Affiliated Hospital, School of Medicine, Zhejiang University, Hangzhou 310005, China
| | - L A Tse
- JC School of Public Health and Primary Care, The Chinese University of Hong Kong, New Territories 999077, Hong Kong
| | - S Kinra
- Department of Non-Communicable Disease Epidemiology, London School of Hygiene & Tropical Medicine, London WC1E 7HT, UK
| | - Y Li
- School of Public Health, Hangzhou Medical College, Hangzhou 310053, China.
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CDK5 Mediates Proinflammatory Effects of Microglia through Activated DRP1 Phosphorylation in Rat Model of Intracerebral Hemorrhage. DISEASE MARKERS 2022; 2022:1919064. [PMID: 35795154 PMCID: PMC9252704 DOI: 10.1155/2022/1919064] [Citation(s) in RCA: 3] [Impact Index Per Article: 1.5] [Reference Citation Analysis] [Abstract] [Track Full Text] [Download PDF] [Figures] [Subscribe] [Scholar Register] [Received: 05/06/2022] [Revised: 05/23/2022] [Accepted: 05/27/2022] [Indexed: 11/18/2022]
Abstract
Introduction Cyclin-dependent kinase-5 (CDK5) is a key kinase involved in brain development and function and recently found to be involved in neuronal and astroglial apoptosis, neural stem/progenitor cell stemness, mitochondrial fission, and synaptic transmission. But the specific mechanism of CDK5-mediated anti-inflammatory remains unclear in ICH. The aim of the present study was to explore the role of CDK5 in mediating microglia activity through activated DRP1 phosphorylation in a rat ICH model. Methods We measured behavioral change after ICH; detected the expression of CDK5 in the rat brain using immunohistochemistry; and measured the protein levels of CDK5, p35, p25, p-histone H1, and p-DRP1 using Western blot analysis. Coimmunoprecipitation analysis indicated interaction of CDK5 and DRP1. Tumor necrosis factor-α, interleukin- (IL-) 1β, and IL-6 levels were measured using enzyme-linked immunosorbent assay (ELISA). Results After ICH, CDK5 protein level and kinase activity increased. Western blot data showed that CDK5 expression increased from 6 h and peaked at 2 d after ICH (p < 0.05), and the expression of p35 was lowest at 12 h, while the expression of p25 peaked at 2 d after ICH. Besides, p-DRP1 expression change follows with CDK5 kinase activity change. Coimmunoprecipitation showed that interaction between CDK5 and DRP1 certainly exists in microglia. Then, knockdown CDK5 or p35 expression by siRNA reduced the expression level of p-DRP1. ELISA data showed that the protein levels of proinflammatory mediators, such as TNF-α, IL-1β, and IL-6, were decreased by knockdown of CDK5. Conclusion CDK5 may regulate DRP1 by direct phosphorylation in microglia and further induce microglia secreting proinflammation factor.
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7
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Shi SX, Vodovoz SJ, Xiu Y, Liu N, Jiang Y, Katakam PVG, Bix G, Dumont AS, Wang X. T-Lymphocyte Interactions with the Neurovascular Unit: Implications in Intracerebral Hemorrhage. Cells 2022; 11:cells11132011. [PMID: 35805099 PMCID: PMC9266108 DOI: 10.3390/cells11132011] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [MESH Headings] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 04/25/2022] [Revised: 06/15/2022] [Accepted: 06/22/2022] [Indexed: 11/21/2022] Open
Abstract
In the pathophysiology of hemorrhagic stroke, the perturbation of the neurovascular unit (NVU), a functional group of the microvascular and brain intrinsic cellular components, is implicated in the progression of secondary injury and partially informs the ultimate patient outcome. Given the broad NVU functions in maintaining healthy brain homeostasis through its maintenance of nutrients and energy substrates, partitioning central and peripheral immune components, and expulsion of protein and metabolic waste, intracerebral hemorrhage (ICH)-induced dysregulation of the NVU directly contributes to numerous destructive processes in the post-stroke sequelae. In ICH, the damaged NVU precipitates the emergence and evolution of perihematomal edema as well as the breakdown of the blood–brain barrier structural coherence and function, which are critical facets during secondary ICH injury. As a gateway to the central nervous system, the NVU is among the first components to interact with the peripheral immune cells mobilized toward the injured brain. The release of signaling molecules and direct cellular contact between NVU cells and infiltrating leukocytes is a factor in the dysregulation of NVU functions and further adds to the acute neuroinflammatory environment of the ICH brain. Thus, the interactions between the NVU and immune cells, and their reverberating consequences, are an area of increasing research interest for understanding the complex pathophysiology of post-stroke injury. This review focuses on the interactions of T-lymphocytes, a major cell of the adaptive immunity with expansive effector function, with the NVU in the context of ICH. In cataloging the relevant clinical and experimental studies highlighting the synergistic actions of T-lymphocytes and the NVU in ICH injury, this review aimed to feature emergent knowledge of T cells in the hemorrhagic brain and their diverse involvement with the neurovascular unit in this disease.
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Lusk JB, Quinones QJ, Staats JS, Weinhold KJ, Grossi PM, Nimjee SM, Laskowitz DT, James ML. Coupling hematoma evacuation with immune profiling for analysis of neuroinflammation after primary intracerebral hemorrhage: a pilot study. World Neurosurg 2022; 161:162-168. [PMID: 35217228 DOI: 10.1016/j.wneu.2022.02.062] [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: 11/22/2021] [Revised: 02/13/2022] [Accepted: 02/14/2022] [Indexed: 11/30/2022]
Abstract
OBJECTIVE To explore the use and feasibility of an integrated hematoma evacuation/tissue preservation system coupled with immune profiling to assess human ex vivo immune cell populations from brain hematoma samples after intracerebral hemorrhage (ICH) METHODS: In this non-randomized, non-controlled pilot/feasibility study of 7 patients with primary supratentorial ICH, a hematoma evacuation device and integrated tissue preservation system were utilized to obtain hematoma samples during surgical evacuation. Samples were processed, cryopreserved, and analyzed using flow cytometry to determine the relative distribution of immune cell populations compared to peripheral blood mononuclear cells from healthy control subjects RESULTS: This study demonstrates proof of concept for an integrated hematoma evacuation and sample preservation system to collect human brain hematoma samples for flow cytometry analysis after acute human ICH. Hematoma samples in our preliminary analysis demonstrated different makeup of white blood cells than peripheral blood from healthy controls. CONCLUSIONS Flow cytometry analysis of hematoma samples in ICH demonstrates the potential to provide important insights into neuroinflammation associated with ICH.
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Affiliation(s)
- Jay B Lusk
- School of Medicine, Duke University, Durham, NC; Fuqua School of Business, Duke University, Durham, NC.
| | | | - Janet S Staats
- Duke Immune Profiling Core, Department of Surgery, Duke University, Durham, NC
| | - Kent J Weinhold
- Duke Immune Profiling Core, Department of Surgery, Duke University, Durham, NC
| | | | - Shahid M Nimjee
- Department of Neurological Surgery, The Ohio State University, Columbus, OH
| | - Daniel T Laskowitz
- Department of Anesthesiology, Duke University, Durham NC; Department of Neurology, Duke University, Durham NC
| | - Michael L James
- Department of Anesthesiology, Duke University, Durham NC; Department of Neurology, Duke University, Durham NC
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9
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Novel targets, treatments, and advanced models for intracerebral haemorrhage. EBioMedicine 2022; 76:103880. [PMID: 35158309 PMCID: PMC8850756 DOI: 10.1016/j.ebiom.2022.103880] [Citation(s) in RCA: 45] [Impact Index Per Article: 22.5] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 11/24/2021] [Revised: 01/17/2022] [Accepted: 01/28/2022] [Indexed: 12/20/2022] Open
Abstract
Intracerebral haemorrhage (ICH) is the second most common type of stroke and a major cause of mortality and disability worldwide. Despite advances in surgical interventions and acute ICH management, there is currently no effective therapy to improve functional outcomes in patients. Recently, there has been tremendous progress uncovering new pathophysiological mechanisms underlying ICH that may pave the way for the development of therapeutic interventions. Here, we highlight emerging targets, but also existing gaps in preclinical animal modelling that prevent their exploitation. We particularly focus on (1) ICH aetiology, (2) the haematoma, (3) inflammation, and (4) post-ICH pathology. It is important to recognize that beyond neurons and the brain, other cell types and organs are crucially involved in ICH pathophysiology and successful interventions likely will need to address the entire organism. This review will spur the development of successful therapeutic interventions for ICH and advanced animal models that better reflect its aetiology and pathophysiology.
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10
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Metabolic orchestration of the wound healing response. Cell Metab 2021; 33:1726-1743. [PMID: 34384520 DOI: 10.1016/j.cmet.2021.07.017] [Citation(s) in RCA: 100] [Impact Index Per Article: 33.3] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 04/23/2021] [Revised: 06/16/2021] [Accepted: 07/26/2021] [Indexed: 12/12/2022]
Abstract
Wound healing requires cooperation between different cell types, among which macrophages play a central role. In particular, inflammatory macrophages are engaged in the initial response to wounding, and alternatively activated macrophages are essential for wound closure and the resolution of tissue repair. The links between temporal activation-induced changes in the metabolism of such macrophages and the influence this has on their functional states, along with the realization that metabolites play both intrinsic and extrinsic roles in the cells that produce them, has focused attention on the metabolism of wound healing. Here, we discuss macrophage metabolism during distinct stages of normal healing and its related pathologic processes, such as during cancer and fibrosis. Further, we frame these insights in a broader context of the current understanding of macrophage metabolic reprogramming linked to cellular activation and function. Finally, we discuss parallels between the metabolism of macrophages and fibroblasts, the latter being a key stromal cell type in wound healing, and consider the importance of the metabolic interplay between different cell types in the wound microenvironment.
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Askenase MH, Goods BA, Beatty HE, Steinschneider AF, Velazquez SE, Osherov A, Landreneau MJ, Carroll SL, Tran TB, Avram VS, Drake RS, Gatter GJ, Massey JA, Karuppagounder SS, Ratan RR, Matouk CC, Sheth KN, Ziai WC, Parry-Jones AR, Awad IA, Zuccarello M, Thompson RE, Dawson J, Hanley DF, Love JC, Shalek AK, Sansing LH. Longitudinal transcriptomics define the stages of myeloid activation in the living human brain after intracerebral hemorrhage. Sci Immunol 2021; 6:6/56/eabd6279. [PMID: 33891558 DOI: 10.1126/sciimmunol.abd6279] [Citation(s) in RCA: 27] [Impact Index Per Article: 9.0] [Reference Citation Analysis] [Abstract] [Journal Information] [Subscribe] [Scholar Register] [Received: 07/02/2020] [Accepted: 01/21/2021] [Indexed: 12/20/2022]
Abstract
Opportunities to interrogate the immune responses in the injured tissue of living patients suffering from acute sterile injuries such as stroke and heart attack are limited. We leveraged a clinical trial of minimally invasive neurosurgery for patients with intracerebral hemorrhage (ICH), a severely disabling subtype of stroke, to investigate the dynamics of inflammation at the site of brain injury over time. Longitudinal transcriptional profiling of CD14+ monocytes/macrophages and neutrophils from hematomas of patients with ICH revealed that the myeloid response to ICH within the hematoma is distinct from that in the blood and occurs in stages conserved across the patient cohort. Initially, hematoma myeloid cells expressed a robust anabolic proinflammatory profile characterized by activation of hypoxia-inducible factors (HIFs) and expression of genes encoding immune factors and glycolysis. Subsequently, inflammatory gene expression decreased over time, whereas anti-inflammatory circuits were maintained and phagocytic and antioxidative pathways up-regulated. During this transition to immune resolution, glycolysis gene expression and levels of the potent proresolution lipid mediator prostaglandin E2 remained elevated in the hematoma, and unexpectedly, these elevations correlated with positive patient outcomes. Ex vivo activation of human macrophages by ICH-associated stimuli highlighted an important role for HIFs in production of both inflammatory and anti-inflammatory factors, including PGE2, which, in turn, augmented VEGF production. Our findings define the time course of myeloid activation in the human brain after ICH, revealing a conserved progression of immune responses from proinflammatory to proresolution states in humans after brain injury and identifying transcriptional programs associated with neurological recovery.
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Affiliation(s)
- Michael H Askenase
- Department of Neurology, Yale School of Medicine, New Haven, CT, USA.,Department of Immunobiology, Yale School of Medicine, New Haven, CT, USA
| | - Brittany A Goods
- Institute for Medical Engineering & Science (IMES) and Department of Chemistry, MIT, Cambridge, MA, USA.,Koch Institute for Integrative Cancer Research, MIT, Cambridge, MA, USA.,Broad Institute of MIT and Harvard, Cambridge, MA, USA.,Ragon Institute of MGH, MIT and Harvard, Cambridge, MA, USA
| | - Hannah E Beatty
- Department of Neurology, Yale School of Medicine, New Haven, CT, USA.,Department of Immunobiology, Yale School of Medicine, New Haven, CT, USA
| | - Arthur F Steinschneider
- Department of Neurology, Yale School of Medicine, New Haven, CT, USA.,Department of Immunobiology, Yale School of Medicine, New Haven, CT, USA
| | - Sofia E Velazquez
- Department of Neurology, Yale School of Medicine, New Haven, CT, USA.,Department of Immunobiology, Yale School of Medicine, New Haven, CT, USA
| | - Artem Osherov
- Department of Neurology, Yale School of Medicine, New Haven, CT, USA.,Department of Immunobiology, Yale School of Medicine, New Haven, CT, USA
| | - Margaret J Landreneau
- Department of Neurology, Yale School of Medicine, New Haven, CT, USA.,Department of Immunobiology, Yale School of Medicine, New Haven, CT, USA
| | - Shaina L Carroll
- Institute for Medical Engineering & Science (IMES) and Department of Chemistry, MIT, Cambridge, MA, USA.,Koch Institute for Integrative Cancer Research, MIT, Cambridge, MA, USA.,Broad Institute of MIT and Harvard, Cambridge, MA, USA.,Ragon Institute of MGH, MIT and Harvard, Cambridge, MA, USA
| | - Tho B Tran
- Department of Neurology, Yale School of Medicine, New Haven, CT, USA.,Department of Immunobiology, Yale School of Medicine, New Haven, CT, USA
| | - Victor S Avram
- Department of Neurology, Yale School of Medicine, New Haven, CT, USA.,Department of Immunobiology, Yale School of Medicine, New Haven, CT, USA
| | - Riley S Drake
- Institute for Medical Engineering & Science (IMES) and Department of Chemistry, MIT, Cambridge, MA, USA.,Koch Institute for Integrative Cancer Research, MIT, Cambridge, MA, USA.,Broad Institute of MIT and Harvard, Cambridge, MA, USA.,Ragon Institute of MGH, MIT and Harvard, Cambridge, MA, USA
| | - G James Gatter
- Institute for Medical Engineering & Science (IMES) and Department of Chemistry, MIT, Cambridge, MA, USA.,Koch Institute for Integrative Cancer Research, MIT, Cambridge, MA, USA.,Broad Institute of MIT and Harvard, Cambridge, MA, USA.,Ragon Institute of MGH, MIT and Harvard, Cambridge, MA, USA
| | - Jordan A Massey
- Department of Neurology, Yale School of Medicine, New Haven, CT, USA.,Department of Immunobiology, Yale School of Medicine, New Haven, CT, USA
| | - Saravanan S Karuppagounder
- Sperling Center for Hemorrhagic Stroke Recovery, Burke Neurological Institute at Weill Cornell Medicine, White Plains, NY, USA.,Feil Family Brain and Mind Research Institute, Weill Cornell Medicine, New York, NY, USA
| | - Rajiv R Ratan
- Sperling Center for Hemorrhagic Stroke Recovery, Burke Neurological Institute at Weill Cornell Medicine, White Plains, NY, USA.,Feil Family Brain and Mind Research Institute, Weill Cornell Medicine, New York, NY, USA
| | - Charles C Matouk
- Department of Neurosurgery, Yale School of Medicine, New Haven, CT, USA
| | - Kevin N Sheth
- Department of Neurosurgery, Yale School of Medicine, New Haven, CT, USA
| | - Wendy C Ziai
- Division of Brain Injury Outcomes, Johns Hopkins University, Baltimore, MD, USA.,Departments of Neurology, Neurosurgery, and Anesthesiology/Critical Care Medicine, Johns Hopkins, Baltimore, MD, USA
| | - Adrian R Parry-Jones
- Division of Cardiovascular Sciences, School of Medicine, Faculty of Biology, Medicine, and Health, University of Manchester, Manchester Academic Health Science Centre, Manchester, UK.,Manchester Centre for Clinical Neurosciences, Salford Royal National Health Service Foundation Trust, Manchester Academic Health Science Centre, Salford, UK
| | - Issam A Awad
- Neurovascular Surgery Program, Section of Neurosurgery, University of Chicago Pritzker School of Medicine, Chicago, IL, USA
| | - Mario Zuccarello
- Department of Neurosurgery, University of Cincinnati College of Medicine, Cincinnati, OH, USA
| | - Richard E Thompson
- Division of Brain Injury Outcomes, Johns Hopkins University, Baltimore, MD, USA.,Department of Biostatistics, School of Public Health, Johns Hopkins University, Baltimore, MD, USA
| | - Jesse Dawson
- Institute of Cardiovascular and Medical Sciences, University of Glasgow, Glasgow, UK
| | - Daniel F Hanley
- Division of Brain Injury Outcomes, Johns Hopkins University, Baltimore, MD, USA
| | - J Christopher Love
- Koch Institute for Integrative Cancer Research, MIT, Cambridge, MA, USA. .,Broad Institute of MIT and Harvard, Cambridge, MA, USA.,Department of Chemical Engineering, Koch Institute for Integrative Cancer Research, MIT, Cambridge, MA, USA
| | - Alex K Shalek
- Institute for Medical Engineering & Science (IMES) and Department of Chemistry, MIT, Cambridge, MA, USA. .,Koch Institute for Integrative Cancer Research, MIT, Cambridge, MA, USA.,Broad Institute of MIT and Harvard, Cambridge, MA, USA.,Ragon Institute of MGH, MIT and Harvard, Cambridge, MA, USA
| | - Lauren H Sansing
- Department of Neurology, Yale School of Medicine, New Haven, CT, USA. .,Department of Immunobiology, Yale School of Medicine, New Haven, CT, USA.,Human and Translational Immunology Program, Yale School of Medicine, New Haven, CT, USA
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