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Huynh D, Rubtsov D, Basu D, Khaing MM. The Diagnostic Utility of Biochemical Markers and Intestinal Ultrasound Compared with Endoscopy in Patients with Crohn's Disease and Ulcerative Colitis: A Systemic Review and Meta-Analysis. J Clin Med 2024; 13:3030. [PMID: 38892741 PMCID: PMC11172975 DOI: 10.3390/jcm13113030] [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: 04/25/2024] [Revised: 05/12/2024] [Accepted: 05/17/2024] [Indexed: 06/21/2024] Open
Abstract
Background: Inflammatory bowel disease (IBD) consists of Crohn's disease (CD) and Ulcerative colitis (UC). The main goal of treatment is to obtain mucosal healing via endoscopy. More recently, intestinal ultrasounds, along with biochemical markers, have been increasingly popular as point-of-care testing to monitor treatment response. This systemic review and meta-analysis aimed to assess the diagnostic test performance of ultrasonography and biochemical markers (C-reactive protein and fecal calprotectin) compared with endoscopy for detecting inflammation in IBD. Methods: A comprehensive literature search was conducted using PubMed Medline, EMBASE, ScienceDirect, and CINAHL from 1 January 2018 to 1 January 2024. The included studies were prospective and retrospective observational studies, clinical trials, and cross-sectional studies investigating the diagnostic sensitivity and specificity of ultrasonography, biochemical markers, and endoscopy. Studies were selected based on the Preferred Reporting Items for Systematic Review and Meta-analysis Statement (PRISMA). Results: Of the 1035 studies retrieved, 16 met the inclusion criteria, and most of the included studies were prospective observational studies. Diagnostic test accuracy was conducted, and the pooled sensitivity and specificity of all the studies revealed that ultrasonography has the highest pooled sensitivity, at 85% (95% CI, 78 to 91%), and specificity, at 92% (95% CI, 86 to 96%), as compared with biochemical markers and endoscopy. More specifically, biochemical markers had a pooled sensitivity and specificity of 85% (95% CI, 81 to 87%) and 61% (95% CI, 58 to 64%), respectively, and endoscopy had 60% (95% CI, 52 to 68%) and 82% (95% CI, 76 to 87%), respectively. However, the results also show substantial heterogeneity in the studies because of various populations, protocols, and outcomes in the studies included. This was especially noted in the assessment of biochemical markers, in which a metaregression was performed showing a nonsignificant p-value of 0.8856 for the coefficient. Conclusions: IUS was found to have the highest pooled sensitivity and specificity of all the included studies for diagnosing inflammation in patients with CD and UC, and this, coupled with biochemical markers, can improve diagnostic utility.
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Affiliation(s)
- David Huynh
- The Prince Charles Hospital, Brisbane 4032, Australia; (D.R.); (D.B.); (M.M.K.)
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Clough J, Colwill M, Poullis A, Pollok R, Patel K, Honap S. Biomarkers in inflammatory bowel disease: a practical guide. Therap Adv Gastroenterol 2024; 17:17562848241251600. [PMID: 38737913 PMCID: PMC11085009 DOI: 10.1177/17562848241251600] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 02/13/2024] [Accepted: 04/12/2024] [Indexed: 05/14/2024] Open
Abstract
Inflammatory bowel disease (IBD), comprising ulcerative colitis (UC) and Crohn's disease (CD), is a costly condition in terms of morbidity and healthcare utilization, with an increasing prevalence now approaching 1% in the Western world. Endoscopic assessment of IBD remains the gold standard for diagnosis, evaluation of treatment response and determination of post-operative recurrence, but is expensive and invasive. Biomarkers can facilitate non-invasive disease assessment, with C-reactive protein and faecal calprotectin as the most widely available biomarkers in current clinical practice. This narrative review summarizes the evidence for their use in both UC and CD and offers practical guidance for healthcare providers taking into account the limitations of biomarker interpretation. We present evidence for the future use of novel biomarkers in IBD and discuss how biomarker discovery could deliver the goal of precision medicine in IBD.
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Affiliation(s)
- Jennie Clough
- St George’s University Hospitals NHS Foundation Trust, London, UK
- School of Immunology and Microbial Sciences, King’s College London, London, UK
| | - Michael Colwill
- St George’s University Hospitals NHS Foundation Trust, London, UK
| | - Andrew Poullis
- St George’s University Hospitals NHS Foundation Trust, London, UK
| | - Richard Pollok
- St George’s University Hospital NHS Foundation Trust
- Institute of Infection and Immunity, St George’s University, London, UK
| | - Kamal Patel
- St George’s University Hospitals NHS Foundation Trust, London, UK
| | - Sailish Honap
- St George’s University Hospitals NHS Foundation Trust, London, UK
- School of Immunology and Microbial Sciences, King’s College London, London, UK
- INFINY Institute, Nancy University Hospital, Vandœuvre-lès-Nancy, France
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3
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Zhuang X, Liu B, Long J, Wang H, Yu J, Ji X, Li J, Zhu N, Li L, Chen Y, Liu Z, Zhao S. Machine-learning-based classification of diffuse large B-cell lymphoma patients by a 7-mRNA signature enriched with immune infiltration and cell cycle. Clin Transl Oncol 2024; 26:936-950. [PMID: 37783922 DOI: 10.1007/s12094-023-03326-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: 05/04/2023] [Accepted: 09/12/2023] [Indexed: 10/04/2023]
Abstract
BACKGROUND Diffuse large B-cell lymphoma (DLBCL) exhibits remarkable heterogeneity but still remains undiagnosed in identifying the subpopulation of DLBCL to predict the prognosis and guide clinical treatment. METHODS Molecular subgroups were identified in gene expression data from GSE10846 by a consensus clustering algorithm. And gene set enrichment analysis, immune infiltration, and the proposed cell cycle algorithm were applied to explore the biological functions of different subtypes. Meanwhile, univariate and multivariate Cox regression analyses were used to evaluate independent prognostic factors of DLBCL. Finally, the prognostic model, including some key genes screened by Lasso regression, Random Forest algorithm, and point-biserial correlation, was constructed by an optimal classifier from seven machine learning algorithms and validated by another three external datasets (GSE34171, GSE87371, GSE31312). RESULTS Comprehensive genomic analysis of 1,143 DLBCL samples identify 2 molecularly, prognostically relevant subtypes: immune-enriched (IME) and cell-cycle-enriched (CCE). Then a new predictive model including seven key genes (SERPING1, TIMP2, NME1, DCTPP1, RFC4, POLE2, and SNRPD1) was developed with high prediction accuracy (88.6%) and strong predictive power (AUC = 0.973) based on the Support Vector Machine (SVM) algorithm in 414 patients from GSE10846. The predictive power was similar in another three testing sets (HR > 1.400, p < 0.05). CONCLUSION This model could evaluate survival independently with strong predictive power compared with other clinical risk factors. Our study constructed a reliable model to predict two new subtypes of DLBCL patients, which could guide the implementation of individualized treatment.
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Affiliation(s)
- Xujie Zhuang
- School of Software Engineering, Faculty of Information Technology, Beijing University of Technology, Beijing, 100124, China
| | - Bo Liu
- School of Mathematical and Computational Sciences, Massey University, Auckland, New Zealand
| | - Junqi Long
- School of Software Engineering, Faculty of Information Technology, Beijing University of Technology, Beijing, 100124, China
| | - Huina Wang
- School of Software Engineering, Faculty of Information Technology, Beijing University of Technology, Beijing, 100124, China
| | - Jiangyong Yu
- Department of Medical Oncology, Beijing Hospital, National Center of Gerontology, Institute of Geriatric Medicine, Chinese Academy of Medical Sciences, Beijing, 100730, China
| | - Xinchan Ji
- School of Software Engineering, Faculty of Information Technology, Beijing University of Technology, Beijing, 100124, China
| | - Jinmeng Li
- School of Software Engineering, Faculty of Information Technology, Beijing University of Technology, Beijing, 100124, China
| | - Nian Zhu
- School of Software Engineering, Faculty of Information Technology, Beijing University of Technology, Beijing, 100124, China
| | - Lujia Li
- School of Software Engineering, Faculty of Information Technology, Beijing University of Technology, Beijing, 100124, China
| | - Yuhaoran Chen
- School of Software Engineering, Faculty of Information Technology, Beijing University of Technology, Beijing, 100124, China
| | - Zhidong Liu
- Department of Thoracic Surgery, Beijing Tuberculosis and Thoracic Tumor Research Institute/Beijing Chest Hospital, Capital Medical University, Beijing, 101149, China
| | - Shuangtao Zhao
- Department of Breast Surgery, Beijing Tuberculosis and Thoracic Tumor Research Institute/Beijing Chest Hospital, Capital Medical University, Beijing, 101149, China.
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Tabachnick-Cherny S, Pulliam T, Rodriguez HJ, Fan X, Hippe DS, Jones DC, Moshiri AS, Smythe KS, Kulikauskas RM, Zaba LC, Paulson KG, Nghiem P. Characterization of Immunosuppressive Myeloid Cells in Merkel Cell Carcinoma: Correlation with Resistance to PD-1 Pathway Blockade. Clin Cancer Res 2024; 30:1189-1199. [PMID: 37851052 PMCID: PMC10947966 DOI: 10.1158/1078-0432.ccr-23-1957] [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: 06/29/2023] [Revised: 09/22/2023] [Accepted: 10/16/2023] [Indexed: 10/19/2023]
Abstract
PURPOSE Merkel cell carcinoma (MCC) is a highly immunogenic skin cancer. Although essentially all MCCs are antigenic through viral antigens or high tumor mutation burden, MCC has a response rate of only approximately 50% to PD-(L)1 blockade suggesting barriers to T-cell responses. Prior studies of MCC immunobiology have focused on CD8 T-cell infiltration and their exhaustion status, while the role of innate immunity, particularly myeloid cells, in MCC remains underexplored. EXPERIMENTAL DESIGN We utilized single-cell transcriptomics from 9 patients with MCC and multiplex IHC staining of 54 patients' preimmunotherapy tumors, to identify myeloid cells and evaluate association with immunotherapy response. RESULTS Single-cell transcriptomics identified tumor-associated macrophages (TAM) as the dominant myeloid component within MCC tumors. These TAMs express an immunosuppressive gene signature characteristic of monocytic myeloid-derived suppressor cells and importantly express several targetable immune checkpoint molecules, including PD-L1 and LILRB receptors, that are not present on tumor cells. Analysis of 54 preimmunotherapy tumor samples showed that a subset of TAMs (CD163+, CD14+, S100A8+) selectively infiltrated tumors that had significant CD8 T cells. Indeed, higher TAM prevalence was associated with resistance to PD-1 blockade. While spatial interactions between TAMs and CD8 T cells were not associated with response, myeloid transcriptomic data showed evidence for cytokine signaling and expression of LILRB receptors, suggesting potential immunosuppressive mechanisms. CONCLUSIONS This study further characterizes TAMs in MCC tumors and provides insights into their possible immunosuppressive mechanism. TAMs may reduce the likelihood of treatment response in MCC by counteracting the benefit of CD8 T-cell infiltration. See related commentary by Silk and Davar, p. 1076.
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Affiliation(s)
| | - Thomas Pulliam
- Department of Dermatology, University of Washington, Seattle, Washington
| | | | - Xinyi Fan
- Fred Hutchinson Cancer Center, Seattle, Washington
| | | | | | - Ata S Moshiri
- Department of Dermatology, New York University, New York, New York
| | | | - Rima M Kulikauskas
- Department of Dermatology, University of Washington, Seattle, Washington
| | - Lisa C Zaba
- Department of Dermatology, Stanford University School of Medicine, Palo Alto, California
| | - Kelly G Paulson
- Paul G Allen Research Center, Providence-Swedish Cancer Institute, Seattle, Washington
| | - Paul Nghiem
- Department of Dermatology, University of Washington, Seattle, Washington
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5
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Lin Q, Su J, Fang Y, Zhong Z, Chen J, Zhang C. S100A8 is a prognostic signature and associated with immune response in diffuse large B-cell lymphoma. Front Oncol 2024; 14:1344669. [PMID: 38361783 PMCID: PMC10867108 DOI: 10.3389/fonc.2024.1344669] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 11/26/2023] [Accepted: 01/12/2024] [Indexed: 02/17/2024] Open
Abstract
Background S100A8, a calcium-binding protein belonging to the S100 family, is involved in immune responses and multiple tumor pathogens. Diffuse large B-cell lymphoma (DLBCL) is one of the most common types of B-cell lymphoma and remains incurable in 40% of patients. However, the role of S100A8 and its regulation of the immune response in DLBCL remain unclear. Methods The differential expression of S100A8 was identified via the GEO and TCGA databases. The prognostic role of S100A8 in DLBCL was calculated using the Kaplan-Meier curve. The function enrichment of differentially expressed genes (DEGs) was explored through GO, KEGG, GSEA, and PPI analysis. In our cohort, the expression of S100A8 was verified. Meanwhile, the biological function of S100A8 was applied after the inhibition of S100A8 in an in vitro experiment. The association between S100A8 and immune cell infiltration and treatment response in DLBCL was analyzed. Results S100A8 was significantly overexpressed and related to a poor prognosis in DLBCL patients. Function enrichment analysis revealed that DEGs were mainly enriched in the IL-17 signaling pathway. Our cohort also verified this point. In vitro experiments suggested that inhibition of S100A8 should promote cell apoptosis and suppress tumor growth. Single-cell RNA sequence analysis indicated that S100A8 might be associated with features of the tumor microenvironment (TME), and immune infiltration analyses discovered that S100A8 expression was involved in TME. In terms of drug screening, we predicted that many drugs were associated with preferable sensitivity. Conclusion Elevated S100A8 expression is associated with a poor prognosis and immune infiltration in DLBCL. Inhibition of S100A8 could promote cell apoptosis and suppress tumor growth. Meanwhile, S100A8 has the potential to be a promising immunotherapeutic target for patients with DLBCL.
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Affiliation(s)
- Qi Lin
- Department of Pharmacy, The Affiliated Hospital of Putian University, Putian, Fujian, China
- Pharmaceutical and Medical Technology College, Putian University, Putian, Fujian, China
| | - Jianlin Su
- Pharmaceutical and Medical Technology College, Putian University, Putian, Fujian, China
| | - Yuanyuan Fang
- Pharmaceutical and Medical Technology College, Putian University, Putian, Fujian, China
| | - Zhihao Zhong
- Pharmaceutical and Medical Technology College, Putian University, Putian, Fujian, China
| | - Jie Chen
- Pharmaceutical and Medical Technology College, Putian University, Putian, Fujian, China
| | - Chaofeng Zhang
- Department of Hematology and Rheumatology, the Affiliated Hospital of Putian University, Putian, Fujian, China
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Fan R, Satilmis H, Vandewalle N, Verheye E, De Bruyne E, Menu E, De Beule N, De Becker A, Ates G, Massie A, Kerre T, Törngren M, Eriksson H, Vanderkerken K, Breckpot K, Maes K, De Veirman K. Targeting S100A9 protein affects mTOR-ER stress signaling and increases venetoclax sensitivity in Acute Myeloid Leukemia. Blood Cancer J 2023; 13:188. [PMID: 38110349 PMCID: PMC10728073 DOI: 10.1038/s41408-023-00962-z] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 08/08/2023] [Revised: 11/30/2023] [Accepted: 12/01/2023] [Indexed: 12/20/2023] Open
Abstract
Acute Myeloid Leukemia (AML) is a heterogeneous disease with limited treatment options and a high demand for novel targeted therapies. Since myeloid-related protein S100A9 is abundantly expressed in AML, we aimed to unravel the therapeutic impact and underlying mechanisms of targeting both intracellular and extracellular S100A9 protein in AML cell lines and primary patient samples. S100A9 silencing in AML cell lines resulted in increased apoptosis and reduced AML cell viability and proliferation. These therapeutic effects were associated with a decrease in mTOR and endoplasmic reticulum stress signaling. Comparable results on AML cell proliferation and mTOR signaling could be observed using the clinically available S100A9 inhibitor tasquinimod. Interestingly, while siRNA-mediated targeting of S100A9 affected both extracellular acidification and mitochondrial metabolism, tasquinimod only affected the mitochondrial function of AML cells. Finally, we found that S100A9-targeting approaches could significantly increase venetoclax sensitivity in AML cells, which was associated with a downregulation of BCL-2 and c-MYC in the combination group compared to single agent therapy. This study identifies S100A9 as a novel molecular target to treat AML and supports the therapeutic evaluation of tasquinimod in venetoclax-based regimens for AML patients.
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Affiliation(s)
- Rong Fan
- Laboratory for Hematology and Immunology, Department of Biomedical Sciences, Vrije Universiteit Brussel (VUB), Laarbeeklaan 103, Building D, 1090, Brussel, Belgium
- Translational Oncology Research Center, Vrije Universiteit Brussel (VUB), Laarbeeklaan 103, Building D, 1090, Brussel, Belgium
| | - Hatice Satilmis
- Laboratory for Hematology and Immunology, Department of Biomedical Sciences, Vrije Universiteit Brussel (VUB), Laarbeeklaan 103, Building D, 1090, Brussel, Belgium
- Translational Oncology Research Center, Vrije Universiteit Brussel (VUB), Laarbeeklaan 103, Building D, 1090, Brussel, Belgium
| | - Niels Vandewalle
- Laboratory for Hematology and Immunology, Department of Biomedical Sciences, Vrije Universiteit Brussel (VUB), Laarbeeklaan 103, Building D, 1090, Brussel, Belgium
- Translational Oncology Research Center, Vrije Universiteit Brussel (VUB), Laarbeeklaan 103, Building D, 1090, Brussel, Belgium
| | - Emma Verheye
- Laboratory for Hematology and Immunology, Department of Biomedical Sciences, Vrije Universiteit Brussel (VUB), Laarbeeklaan 103, Building D, 1090, Brussel, Belgium
- Translational Oncology Research Center, Vrije Universiteit Brussel (VUB), Laarbeeklaan 103, Building D, 1090, Brussel, Belgium
- Laboratory of Myeloid Cell Immunology, VIB Center for Inflammation Research, Pleinlaan 2, 1050, Brussels, Belgium
| | - Elke De Bruyne
- Laboratory for Hematology and Immunology, Department of Biomedical Sciences, Vrije Universiteit Brussel (VUB), Laarbeeklaan 103, Building D, 1090, Brussel, Belgium
- Translational Oncology Research Center, Vrije Universiteit Brussel (VUB), Laarbeeklaan 103, Building D, 1090, Brussel, Belgium
| | - Eline Menu
- Laboratory for Hematology and Immunology, Department of Biomedical Sciences, Vrije Universiteit Brussel (VUB), Laarbeeklaan 103, Building D, 1090, Brussel, Belgium
- Translational Oncology Research Center, Vrije Universiteit Brussel (VUB), Laarbeeklaan 103, Building D, 1090, Brussel, Belgium
| | - Nathan De Beule
- Department of Clinical Hematology, Universitair Ziekenhuis Brussel (UZ Brussel), Vrije Universiteit Brussel, Brussels, Belgium. Laarbeeklaan 101, 1090, Brussel, Belgium
| | - Ann De Becker
- Department of Clinical Hematology, Universitair Ziekenhuis Brussel (UZ Brussel), Vrije Universiteit Brussel, Brussels, Belgium. Laarbeeklaan 101, 1090, Brussel, Belgium
| | - Gamze Ates
- Neuro-Aging & Viro-Immunotherapy, Center for Neurosciences, Vrije Universiteit Brussel (VUB), Laarbeeklaan 103, 1090, Brussel, Belgium
| | - Ann Massie
- Neuro-Aging & Viro-Immunotherapy, Center for Neurosciences, Vrije Universiteit Brussel (VUB), Laarbeeklaan 103, 1090, Brussel, Belgium
| | - Tessa Kerre
- Department of Hematology, Ghent University Hospital, Faculty of Medicine and Health Sciences, Ghent University, 9000, Ghent, Belgium
| | - Marie Törngren
- Active Biotech AB, Lund, Sweden. Scheelevägen 22, 22363, Lund, Sweden
| | - Helena Eriksson
- Active Biotech AB, Lund, Sweden. Scheelevägen 22, 22363, Lund, Sweden
| | - Karin Vanderkerken
- Laboratory for Hematology and Immunology, Department of Biomedical Sciences, Vrije Universiteit Brussel (VUB), Laarbeeklaan 103, Building D, 1090, Brussel, Belgium
- Translational Oncology Research Center, Vrije Universiteit Brussel (VUB), Laarbeeklaan 103, Building D, 1090, Brussel, Belgium
| | - Karine Breckpot
- Translational Oncology Research Center, Vrije Universiteit Brussel (VUB), Laarbeeklaan 103, Building D, 1090, Brussel, Belgium
- Laboratory for Molecular and Cellular Therapy, Department of Biomedical Sciences, Vrije Universiteit Brussel (VUB), Laarbeeklaan 103, 1090, Brussel, Belgium
| | - Ken Maes
- Laboratory for Hematology and Immunology, Department of Biomedical Sciences, Vrije Universiteit Brussel (VUB), Laarbeeklaan 103, Building D, 1090, Brussel, Belgium
- Clinical Sciences, Research Group Reproduction and Genetics, Centre for Medical Genetics, Vrije Universiteit Brussel (VUB), Universitair Ziekenhuis Brussel (UZ Brussel), Laarbeeklaan 103, 1090, Brussel, Belgium
| | - Kim De Veirman
- Laboratory for Hematology and Immunology, Department of Biomedical Sciences, Vrije Universiteit Brussel (VUB), Laarbeeklaan 103, Building D, 1090, Brussel, Belgium.
- Translational Oncology Research Center, Vrije Universiteit Brussel (VUB), Laarbeeklaan 103, Building D, 1090, Brussel, Belgium.
- Department of Clinical Hematology, Universitair Ziekenhuis Brussel (UZ Brussel), Vrije Universiteit Brussel, Brussels, Belgium. Laarbeeklaan 101, 1090, Brussel, Belgium.
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Gamboa-Sánchez C, Becerril-Villanueva E, Alvarez-Herrera S, Leyva-Mascareño G, González-López SL, Estudillo E, Fernández-Molina AE, Elizalde-Contreras JM, Ruiz-May E, Segura-Cabrera A, Jiménez-Genchi J, Pavón L, Zamudio SR, Pérez-Sánchez G. Upregulation of S100A8 in peripheral blood mononuclear cells from patients with depression treated with SSRIs: a pilot study. Proteome Sci 2023; 21:23. [PMID: 38049858 PMCID: PMC10694904 DOI: 10.1186/s12953-023-00224-7] [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: 08/24/2023] [Accepted: 11/17/2023] [Indexed: 12/06/2023] Open
Abstract
BACKGROUND Major depressive disorder (MDD) affects more than 350 million people worldwide, and there is currently no laboratory test to diagnose it. This pilot study aimed to identify potential biomarkers in peripheral blood mononuclear cells (PBMCs) from MDD patients. METHODS We used tandem mass tagging coupled to synchronous precursor selection (mass spectrometry) to obtain the differential proteomic profile from a pool of PBMCs from MDD patients and healthy subjects, and quantitative PCR to assess gene expression of differentially expressed proteins (DEPs) of our interest. RESULTS We identified 247 proteins, of which 133 had a fold change ≥ 2.0 compared to healthy volunteers. Using pathway enrichment analysis, we found that some processes, such as platelet degranulation, coagulation, and the inflammatory response, are perturbed in MDD patients. The gene-disease association analysis showed that molecular alterations in PBMCs from MDD patients are associated with cerebral ischemia, vascular disease, thrombosis, acute coronary syndrome, and myocardial ischemia, in addition to other conditions such as inflammation and diabetic retinopathy. CONCLUSIONS We confirmed by qRT-PCR that S100A8 is upregulated in PBMCs from MDD patients and thus could be an emerging biomarker of this disorder. This report lays the groundwork for future studies in a broader and more diverse population and contributes to a deeper characterization of MDD.
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Affiliation(s)
- Concepción Gamboa-Sánchez
- Laboratorio de Psicoinmunología, Instituto Nacional de Psiquiatría Ramón de La Fuente Muñiz, Colonia San Lorenzo Huipulco, Calzada México-Xochimilco 101, Tlalpan, 14370, Ciudad de Mexico, México
- Departamento de Fisiología, Escuela Nacional de Ciencias Biológicas, Instituto Politécnico Nacional. Unidad Profesional Adolfo López Mateos, Av. Wilfrido Massieu 399, Nueva Industrial Vallejo, Gustavo A. Madero, 07738, Ciudad de México, México
| | - Enrique Becerril-Villanueva
- Laboratorio de Psicoinmunología, Instituto Nacional de Psiquiatría Ramón de La Fuente Muñiz, Colonia San Lorenzo Huipulco, Calzada México-Xochimilco 101, Tlalpan, 14370, Ciudad de Mexico, México
| | - Samantha Alvarez-Herrera
- Laboratorio de Psicoinmunología, Instituto Nacional de Psiquiatría Ramón de La Fuente Muñiz, Colonia San Lorenzo Huipulco, Calzada México-Xochimilco 101, Tlalpan, 14370, Ciudad de Mexico, México
| | - Gabriela Leyva-Mascareño
- Laboratorio de Psicoinmunología, Instituto Nacional de Psiquiatría Ramón de La Fuente Muñiz, Colonia San Lorenzo Huipulco, Calzada México-Xochimilco 101, Tlalpan, 14370, Ciudad de Mexico, México
| | - Sandra L González-López
- Laboratorio de Psicoinmunología, Instituto Nacional de Psiquiatría Ramón de La Fuente Muñiz, Colonia San Lorenzo Huipulco, Calzada México-Xochimilco 101, Tlalpan, 14370, Ciudad de Mexico, México
| | - Enrique Estudillo
- Laboratorio de Reprogramación Celular, Instituto Nacional de Neurología y Neurocirugía Manuel Velasco Suárez, Av. Insurgentes Sur 3877 Del. Tlalpan, 14269. Col. La Fama., Ciudad de México, México
| | - Alberto E Fernández-Molina
- Laboratorio de Psicoinmunología, Instituto Nacional de Psiquiatría Ramón de La Fuente Muñiz, Colonia San Lorenzo Huipulco, Calzada México-Xochimilco 101, Tlalpan, 14370, Ciudad de Mexico, México
| | - José Miguel Elizalde-Contreras
- Red de Estudios Moleculares Avanzados, Instituto de Ecología A. C, Cluster BioMimic®, Carretera Antigua a Coatepec 351, Congregación El Haya, 91073, Xalapa, Veracruz, México
| | - Eliel Ruiz-May
- Red de Estudios Moleculares Avanzados, Instituto de Ecología A. C, Cluster BioMimic®, Carretera Antigua a Coatepec 351, Congregación El Haya, 91073, Xalapa, Veracruz, México
| | - Aldo Segura-Cabrera
- Red de Estudios Moleculares Avanzados, Instituto de Ecología A. C, Cluster BioMimic®, Carretera Antigua a Coatepec 351, Congregación El Haya, 91073, Xalapa, Veracruz, México
- Genomic Sciences, GSK, Stevenage, UK
| | - Janeth Jiménez-Genchi
- Hospital Psiquiátrico Fray Bernardino Álvarez. Av, Niño Jesús, San Buenaventura 214000, Tlalpan, Ciudad de Mexico, México
| | - Lenin Pavón
- Laboratorio de Psicoinmunología, Instituto Nacional de Psiquiatría Ramón de La Fuente Muñiz, Colonia San Lorenzo Huipulco, Calzada México-Xochimilco 101, Tlalpan, 14370, Ciudad de Mexico, México
| | - Sergio Roberto Zamudio
- Departamento de Fisiología, Escuela Nacional de Ciencias Biológicas, Instituto Politécnico Nacional. Unidad Profesional Adolfo López Mateos, Av. Wilfrido Massieu 399, Nueva Industrial Vallejo, Gustavo A. Madero, 07738, Ciudad de México, México.
| | - Gilberto Pérez-Sánchez
- Laboratorio de Psicoinmunología, Instituto Nacional de Psiquiatría Ramón de La Fuente Muñiz, Colonia San Lorenzo Huipulco, Calzada México-Xochimilco 101, Tlalpan, 14370, Ciudad de Mexico, México.
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8
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Voskamp AL, Tak T, Gerdes ML, Menafra R, Duijster E, Jochems SP, Kielbasa SM, Kormelink TG, Stam KA, van Hengel OR, de Jong NW, Hendriks RW, Kloet SL, Yazdanbakhsh M, de Jong EC, Gerth van Wijk R, Smits HH. Inflammatory and tolerogenic myeloid cells determine outcome following human allergen challenge. J Exp Med 2023; 220:e20221111. [PMID: 37428185 PMCID: PMC10333709 DOI: 10.1084/jem.20221111] [Citation(s) in RCA: 3] [Impact Index Per Article: 3.0] [Reference Citation Analysis] [Abstract] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 06/28/2022] [Revised: 03/08/2023] [Accepted: 06/14/2023] [Indexed: 07/11/2023] Open
Abstract
Innate mononuclear phagocytic system (MPS) cells preserve mucosal immune homeostasis. We investigated their role at nasal mucosa following allergen challenge with house dust mite. We combined single-cell proteome and transcriptome profiling on nasal immune cells from nasal biopsies cells from 30 allergic rhinitis and 27 non-allergic subjects before and after repeated nasal allergen challenge. Biopsies of patients showed infiltrating inflammatory HLA-DRhi/CD14+ and CD16+ monocytes and proallergic transcriptional changes in resident CD1C+/CD1A+ conventional dendritic cells (cDC)2 following challenge. In contrast, non-allergic individuals displayed distinct innate MPS responses to allergen challenge: predominant infiltration of myeloid-derived suppressor cells (MDSC: HLA-DRlow/CD14+ monocytes) and cDC2 expressing inhibitory/tolerogenic transcripts. These divergent patterns were confirmed in ex vivo stimulated MPS nasal biopsy cells. Thus, we identified not only MPS cell clusters involved in airway allergic inflammation but also highlight novel roles for non-inflammatory innate MPS responses by MDSC to allergens in non-allergic individuals. Future therapies should address MDSC activity as treatment for inflammatory airway diseases.
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Affiliation(s)
- Astrid L. Voskamp
- Department of Parasitology, Leiden University Medical Center, Leiden, Netherlands
| | - Tamar Tak
- Department of Parasitology, Leiden University Medical Center, Leiden, Netherlands
| | - Maarten L. Gerdes
- Department of Ear, Nose and Throat, Erasmus University Medical Center, Rotterdam, Netherlands
| | - Roberta Menafra
- Leiden Genome Technology Center, Leiden University Medical Center, Leiden, Netherlands
| | - Ellen Duijster
- Department of Internal Medicine, Section Allergology and Clinical Immunology, Erasmus University Medical Center, Rotterdam, Netherlands
| | - Simon P. Jochems
- Department of Parasitology, Leiden University Medical Center, Leiden, Netherlands
| | - Szymon M. Kielbasa
- Department of Biomedical Data Sciences, Leiden University Medical Center, Leiden, Netherlands
| | - Tom Groot Kormelink
- Department of Exp Immunology, Amsterdam University Medical Centers, Amsterdam, Netherlands
| | - Koen A. Stam
- Department of Parasitology, Leiden University Medical Center, Leiden, Netherlands
| | | | - Nicolette W. de Jong
- Department of Internal Medicine, Section Allergology and Clinical Immunology, Erasmus University Medical Center, Rotterdam, Netherlands
| | - Rudi W. Hendriks
- Department of Pulmonary Medicine, Erasmus University Medical Center, Rotterdam, Netherlands
| | - Susan L. Kloet
- Leiden Genome Technology Center, Leiden University Medical Center, Leiden, Netherlands
| | - Maria Yazdanbakhsh
- Department of Parasitology, Leiden University Medical Center, Leiden, Netherlands
| | - Esther C. de Jong
- Department of Exp Immunology, Amsterdam University Medical Centers, Amsterdam, Netherlands
| | - Roy Gerth van Wijk
- Department of Internal Medicine, Section Allergology and Clinical Immunology, Erasmus University Medical Center, Rotterdam, Netherlands
| | - Hermelijn H. Smits
- Department of Parasitology, Leiden University Medical Center, Leiden, Netherlands
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9
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Oh K, Yoo YJ, Torre-Healy LA, Rao M, Fassler D, Wang P, Caponegro M, Gao M, Kim J, Sasson A, Georgakis G, Powers S, Moffitt RA. Coordinated single-cell tumor microenvironment dynamics reinforce pancreatic cancer subtype. Nat Commun 2023; 14:5226. [PMID: 37633924 PMCID: PMC10460409 DOI: 10.1038/s41467-023-40895-6] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 04/16/2022] [Accepted: 08/14/2023] [Indexed: 08/28/2023] Open
Abstract
Bulk analyses of pancreatic ductal adenocarcinoma (PDAC) samples are complicated by the tumor microenvironment (TME), i.e. signals from fibroblasts, endocrine, exocrine, and immune cells. Despite this, we and others have established tumor and stroma subtypes with prognostic significance. However, understanding of underlying signals driving distinct immune and stromal landscapes is still incomplete. Here we integrate 92 single cell RNA-seq samples from seven independent studies to build a reproducible PDAC atlas with a focus on tumor-TME interdependence. Patients with activated stroma are synonymous with higher myofibroblastic and immunogenic fibroblasts, and furthermore show increased M2-like macrophages and regulatory T-cells. Contrastingly, patients with 'normal' stroma show M1-like recruitment, elevated effector and exhausted T-cells. To aid interoperability of future studies, we provide a pretrained cell type classifier and an atlas of subtype-based signaling factors that we also validate in mouse data. Ultimately, this work leverages the heterogeneity among single-cell studies to create a comprehensive view of the orchestra of signaling interactions governing PDAC.
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Affiliation(s)
- Ki Oh
- Department of Biomedical Informatics, Stony Brook University, Stony Brook, NY, USA
| | - Yun Jae Yoo
- Department of Biomedical Informatics, Stony Brook University, Stony Brook, NY, USA
| | - Luke A Torre-Healy
- Department of Biomedical Informatics, Stony Brook University, Stony Brook, NY, USA
| | - Manisha Rao
- Department of Biomedical Engineering, Stony Brook University, Stony Brook, NY, USA
- Department of Pathology, Stony Brook University, Stony Brook, NY, USA
| | - Danielle Fassler
- Department of Biomedical Informatics, Stony Brook University, Stony Brook, NY, USA
| | - Pei Wang
- Department of Cell Systems & Anatomy, University of Texas Health Science Center, San Antonio, TX, USA
| | - Michael Caponegro
- Department of Pharmacology, Stony Brook University, Stony Brook, NY, USA
| | - Mei Gao
- Department of Surgery, University of Kentucky and Markey Cancer Center, Lexington, KY, USA
| | - Joseph Kim
- Department of Surgery, University of Kentucky and Markey Cancer Center, Lexington, KY, USA
| | - Aaron Sasson
- Department of Surgery, Stony Brook University, Stony Brook, NY, USA
- Stony Brook Cancer Center, Stony Brook University, Stony Brook, NY, USA
| | - Georgios Georgakis
- Department of Surgery, Stony Brook University, Stony Brook, NY, USA
- Stony Brook Cancer Center, Stony Brook University, Stony Brook, NY, USA
| | - Scott Powers
- Department of Pathology, Stony Brook University, Stony Brook, NY, USA
- Stony Brook Cancer Center, Stony Brook University, Stony Brook, NY, USA
| | - Richard A Moffitt
- Department of Biomedical Informatics, Stony Brook University, Stony Brook, NY, USA.
- Department of Hematology and Medical Oncology, Emory University, Atlanta, GA, USA.
- Department of Biomedical Informatics, Emory University, Atlanta, GA, USA.
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10
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Yip F, Lai B, Yang D. Role of Coxsackievirus B3-Induced Immune Responses in the Transition from Myocarditis to Dilated Cardiomyopathy and Heart Failure. Int J Mol Sci 2023; 24:ijms24097717. [PMID: 37175422 PMCID: PMC10178405 DOI: 10.3390/ijms24097717] [Citation(s) in RCA: 1] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [Abstract] [Key Words] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 03/24/2023] [Revised: 04/16/2023] [Accepted: 04/20/2023] [Indexed: 05/15/2023] Open
Abstract
Dilated cardiomyopathy (DCM) is a cardiac disease marked by the stretching and thinning of the heart muscle and impaired left ventricular contractile function. While most patients do not develop significant cardiac diseases from myocarditis, disparate immune responses can affect pathological outcomes, including DCM progression. These altered immune responses, which may be caused by genetic variance, can prolong cytotoxicity, induce direct cleavage of host protein, or encourage atypical wound healing responses that result in tissue scarring and impaired mechanical and electrical heart function. However, it is unclear which alterations within host immune profiles are crucial to dictating the outcomes of myocarditis. Coxsackievirus B3 (CVB3) is a well-studied virus that has been identified as a causal agent of myocarditis in various models, along with other viruses such as adenovirus, parvovirus B19, and SARS-CoV-2. This paper takes CVB3 as a pathogenic example to review the recent advances in understanding virus-induced immune responses and differential gene expression that regulates iron, lipid, and glucose metabolic remodeling, the severity of cardiac tissue damage, and the development of DCM and heart failure.
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Affiliation(s)
- Fione Yip
- Department of Pathology and Laboratory Medicine, University of British Columbia, Vancouver, BC V6T 2B5, Canada
- The Centre for Heart Lung Innovation, St. Paul's Hospital, Vancouver, BC V6Z 1Y6, Canada
| | - Brian Lai
- The Centre for Heart Lung Innovation, St. Paul's Hospital, Vancouver, BC V6Z 1Y6, Canada
| | - Decheng Yang
- Department of Pathology and Laboratory Medicine, University of British Columbia, Vancouver, BC V6T 2B5, Canada
- The Centre for Heart Lung Innovation, St. Paul's Hospital, Vancouver, BC V6Z 1Y6, Canada
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11
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Harcourt-Smith EA, Krstic ET, Soekov-Pearce BJ, Colella AD, Chegeni N, Chataway TK, Woods CM, Aliakbari K, Carney AS. The Nasal Innate Immune Proteome After Saline Irrigation: A Pilot Study in Healthy Individuals. Am J Rhinol Allergy 2023:19458924231159176. [PMID: 36847244 DOI: 10.1177/19458924231159176] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 03/01/2023]
Abstract
BACKGROUND Previous research has shown diminished nasal immune function following nasal saline irrigation (NSI), returning to baseline at 6 hours. The aim of this study was to examine the immune nasal proteome before and after 14 days of nasal irrigation. METHODS Seventeen healthy volunteers received either isotonic (IsoSal) or low salt (LowNa) NSI. Nasal secretions were collected before and 30 min after NSI at baseline and again after 14 days. Specimens were analyzed using mass spectrometry to detect proteins of relevance to nasal immune function. RESULTS One thousand eight hundred and sixty-five proteins were identified with significant changes in 71 proteins, of which 23 were identified as part of the innate immune system. Baseline analysis demonstrated an increase of 9 innate proteins after NSI, most after IsoSal. After 14 days, a greater increase in innate peptides was present, with most now in the LowNa group. When NSI solutions were compared, a significant increase in 4 innate proteins, including a 211% in lysozyme, was detected in the LowNa group. CONCLUSION LowNa NSI demonstrates evidence of improving the innate immune secretions, especially lysozyme, in healthy volunteers.
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Affiliation(s)
| | - Emerson T Krstic
- College of Medicine and Public Health, Flinders University, Bedford Park, SA, Australia
| | | | - Alex D Colella
- Proteomics Facility, College of Medicine and Public Health, Flinders University, Bedford Park, SA, Australia
| | - Nusha Chegeni
- Proteomics Facility, College of Medicine and Public Health, Flinders University, Bedford Park, SA, Australia
| | - Timothy K Chataway
- Proteomics Facility, College of Medicine and Public Health, Flinders University, Bedford Park, SA, Australia
| | - Charmaine M Woods
- College of Medicine and Public Health, Flinders University, Bedford Park, SA, Australia
| | - Kamelya Aliakbari
- Proteomics Facility, College of Medicine and Public Health, Flinders University, Bedford Park, SA, Australia
| | - A Simon Carney
- College of Medicine and Public Health, Flinders University, Bedford Park, SA, Australia
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12
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Psoriatic arthritis: review of potential biomarkers predicting response to TNF inhibitors. Inflammopharmacology 2023; 31:77-87. [PMID: 36508130 PMCID: PMC9957889 DOI: 10.1007/s10787-022-01092-x] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 07/20/2022] [Accepted: 10/18/2022] [Indexed: 12/14/2022]
Abstract
Psoriatic arthritis (PsA) is a chronic and painful inflammatory immune-mediated disease. It affects up to 40% of people with psoriasis and it is associated with several comorbidities such as obesity, diabetes, metabolic syndrome, and hypertension. PsA is difficult to diagnose because of its diverse symptoms, namely axial and peripheral arthritis, enthesitis, dactylitis, skin changes, and nail dystrophy. Different drugs exist to treat the inflammation and pain. When patients do not respond to conventional drugs, they are treated with biologic drugs. Tumour necrosis factor inhibitors (TNFi's) are commonly given as the first biologic drug; beside being expensive, they also lack efficacy in 50% of patients. A biomarker predicting individual patient's response to TNFi would help treating them earlier with an appropriate biologic drug. This study aimed to review the literature to identify potential biomarkers that should be investigated for their predictive ability. Several such biomarkers were identified, namely transmembrane TNFα (tmTNF), human serum albumin (HSA) and its half-life receptor, the neonatal Fc receptor (FcRn) which is also involved in IgG lifespan; calprotectin, high mobility group protein B1 (HMGB1) and advanced glycation end products (AGEs) whose overexpression lead to excessive production of pro-inflammatory cytokines; lymphotoxin α (LTα) which induces inflammation by binding to TNF receptor (TNFR); and T helper 17 (Th17) cells which induce inflammation by IL-17A secretion.
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13
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Kaur G, Porter CBM, Ashenberg O, Lee J, Riesenfeld SJ, Hofree M, Aggelakopoulou M, Subramanian A, Kuttikkatte SB, Attfield KE, Desel CAE, Davies JL, Evans HG, Avraham-Davidi I, Nguyen LT, Dionne DA, Neumann AE, Jensen LT, Barber TR, Soilleux E, Carrington M, McVean G, Rozenblatt-Rosen O, Regev A, Fugger L. Mouse fetal growth restriction through parental and fetal immune gene variation and intercellular communications cascade. Nat Commun 2022; 13:4398. [PMID: 35906236 PMCID: PMC9338297 DOI: 10.1038/s41467-022-32171-w] [Citation(s) in RCA: 3] [Impact Index Per Article: 1.5] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 09/28/2021] [Accepted: 07/18/2022] [Indexed: 11/08/2022] Open
Abstract
Fetal growth restriction (FGR) affects 5-10% of pregnancies, and can have serious consequences for both mother and child. Prevention and treatment are limited because FGR pathogenesis is poorly understood. Genetic studies implicate KIR and HLA genes in FGR, however, linkage disequilibrium, genetic influence from both parents, and challenges with investigating human pregnancies make the risk alleles and their functional effects difficult to map. Here, we demonstrate that the interaction between the maternal KIR2DL1, expressed on uterine natural killer (NK) cells, and the paternally inherited HLA-C*0501, expressed on fetal trophoblast cells, leads to FGR in a humanized mouse model. We show that the KIR2DL1 and C*0501 interaction leads to pathogenic uterine arterial remodeling and modulation of uterine NK cell function. This initial effect cascades to altered transcriptional expression and intercellular communication at the maternal-fetal interface. These findings provide mechanistic insight into specific FGR risk alleles, and provide avenues of prevention and treatment.
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Affiliation(s)
- Gurman Kaur
- MRC Human Immunology Unit, MRC Weatherall Institute of Molecular Medicine, John Radcliffe Hospital, University of Oxford, Oxford, UK
- Klarman Cell Observatory, Broad Institute of MIT and Harvard, Cambridge, MA, USA
| | - Caroline B M Porter
- Klarman Cell Observatory, Broad Institute of MIT and Harvard, Cambridge, MA, USA
| | - Orr Ashenberg
- Klarman Cell Observatory, Broad Institute of MIT and Harvard, Cambridge, MA, USA
| | - Jack Lee
- Department of Biomedical Engineering, School of Biomedical Engineering and Imaging Sciences, King's College London, London, UK
| | - Samantha J Riesenfeld
- Klarman Cell Observatory, Broad Institute of MIT and Harvard, Cambridge, MA, USA
- Pritzker School of Molecular Engineering, University of Chicago, Chicago, IL, USA
- Department of Medicine, University of Chicago, Chicago, IL, USA
| | - Matan Hofree
- Klarman Cell Observatory, Broad Institute of MIT and Harvard, Cambridge, MA, USA
| | - Maria Aggelakopoulou
- Oxford Centre for Neuroinflammation, Nuffield Department of Clinical Neurosciences, MRC Weatherall Institute of Molecular Medicine, John Radcliffe Hospital, University of Oxford, Oxford, UK
| | | | - Subita Balaram Kuttikkatte
- MRC Human Immunology Unit, MRC Weatherall Institute of Molecular Medicine, John Radcliffe Hospital, University of Oxford, Oxford, UK
| | - Kathrine E Attfield
- Oxford Centre for Neuroinflammation, Nuffield Department of Clinical Neurosciences, MRC Weatherall Institute of Molecular Medicine, John Radcliffe Hospital, University of Oxford, Oxford, UK
| | - Christiane A E Desel
- Oxford Centre for Neuroinflammation, Nuffield Department of Clinical Neurosciences, MRC Weatherall Institute of Molecular Medicine, John Radcliffe Hospital, University of Oxford, Oxford, UK
- University Department of Neurology, University Hospital Magdeburg, Magdeburg, Germany
| | - Jessica L Davies
- Oxford Centre for Neuroinflammation, Nuffield Department of Clinical Neurosciences, MRC Weatherall Institute of Molecular Medicine, John Radcliffe Hospital, University of Oxford, Oxford, UK
| | - Hayley G Evans
- Oxford Centre for Neuroinflammation, Nuffield Department of Clinical Neurosciences, MRC Weatherall Institute of Molecular Medicine, John Radcliffe Hospital, University of Oxford, Oxford, UK
| | - Inbal Avraham-Davidi
- Klarman Cell Observatory, Broad Institute of MIT and Harvard, Cambridge, MA, USA
| | - Lan T Nguyen
- Klarman Cell Observatory, Broad Institute of MIT and Harvard, Cambridge, MA, USA
| | - Danielle A Dionne
- Klarman Cell Observatory, Broad Institute of MIT and Harvard, Cambridge, MA, USA
| | | | - Lise Torp Jensen
- Department of Clinical Medicine, Aarhus University Hospital, Aarhus, Denmark
| | - Thomas R Barber
- MRC Human Immunology Unit, MRC Weatherall Institute of Molecular Medicine, John Radcliffe Hospital, University of Oxford, Oxford, UK
| | - Elizabeth Soilleux
- Department of Pathology, Tennis Court Rd, University of Cambridge, Cambridge, England
| | - Mary Carrington
- Basic Science Program, Frederick National Laboratory for Cancer Research in the Laboratory of Integrative Cancer Immunology, National Cancer Institute, Bethesda, MD, USA
- Ragon Institute of MGH, MIT, and Harvard, Cambridge, MA, USA
| | - Gil McVean
- Big Data Institute, Li Ka Shing Centre for Health Information and Discovery, University of Oxford, Oxford, UK
| | - Orit Rozenblatt-Rosen
- Klarman Cell Observatory, Broad Institute of MIT and Harvard, Cambridge, MA, USA
- Genentech, 1 DNA Way, South San Francisco, CA, USA
| | - Aviv Regev
- Klarman Cell Observatory, Broad Institute of MIT and Harvard, Cambridge, MA, USA.
- Massachusetts Institute of Technology, Department of Biology, Cambridge, MA, USA.
- Howard Hughes Medical Institute, Chevy Chase, MD, USA.
- Genentech, 1 DNA Way, South San Francisco, CA, USA.
| | - Lars Fugger
- MRC Human Immunology Unit, MRC Weatherall Institute of Molecular Medicine, John Radcliffe Hospital, University of Oxford, Oxford, UK.
- Oxford Centre for Neuroinflammation, Nuffield Department of Clinical Neurosciences, MRC Weatherall Institute of Molecular Medicine, John Radcliffe Hospital, University of Oxford, Oxford, UK.
- Department of Clinical Medicine, Aarhus University Hospital, Aarhus, Denmark.
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14
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Lian W, Gao D, Huang C, Zhong Q, Hua R, Lei M. Heat Stress Impairs Maternal Endometrial Integrity and Results in Embryo Implantation Failure by Regulating Transport-Related Gene Expression in Tongcheng Pigs. Biomolecules 2022; 12:biom12030388. [PMID: 35327580 PMCID: PMC8945854 DOI: 10.3390/biom12030388] [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: 01/04/2022] [Revised: 02/21/2022] [Accepted: 02/25/2022] [Indexed: 02/04/2023] Open
Abstract
Heat stress (HS) poses a significant threat to production and survival in the global swine industry. However, the molecular regulatory effects of heat stress on maternal endometrial cells are poorly understood in pigs during early embryo implantation. In this study, we systematically examined morphological changes in the endometrium and the corresponding regulation mechanism in response to HS by combining scanning electron microscopy (SEM), hematoxylin/eosin (H&E) staining, western blot, and RNA-seq analyses. Our results showed that HS led to porcine endometrium damage and endometrial thinness during embryo implantation. The expression levels of cell adhesion-related proteins, including N-cadherin and E-cadherin, in the uterus were significantly lower in the heat stress group (39 ± 1 °C, n = 3) than in the control group (28 ± 1 °C, n = 3). A total of 338 up-regulated genes and 378 down-regulated genes were identified in porcine endometrium under HS. The down-regulated genes were found to be mainly enriched in the pathways related to the microtubule complex, immune system process, and metalloendopeptidase activity, whereas the up-regulated genes were mainly involved in calcium ion binding, the extracellular region, and molecular function regulation. S100A9 was found to be one of the most significant differentially expressed genes (DEGs) in the endometrium under HS, and this gene could promote proliferation of endometrial cells and inhibit their apoptosis. Meanwhile, HS caused endometrial epithelial cell (EEC) damage and inhibited its proliferation. Overall, our results demonstrated that HS induced uterine morphological change and tissue damage by regulating the expression of genes associated with calcium ions and amino acid transport. These findings may provide novel molecular insights into endometrial damage under HS during embryo implantation.
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Affiliation(s)
- Weisi Lian
- Key Laboratory of Agricultural Animal Genetics, Breeding, and Reproduction of the Ministry of Education, Key Laboratory of Swine Genetics and Breeding of the Ministry of Agriculture, College of Animal Science and Technology, Huazhong Agricultural University, Wuhan 430070, China; (W.L.); (D.G.); (C.H.); (Q.Z.); (R.H.)
| | - Dengying Gao
- Key Laboratory of Agricultural Animal Genetics, Breeding, and Reproduction of the Ministry of Education, Key Laboratory of Swine Genetics and Breeding of the Ministry of Agriculture, College of Animal Science and Technology, Huazhong Agricultural University, Wuhan 430070, China; (W.L.); (D.G.); (C.H.); (Q.Z.); (R.H.)
| | - Cheng Huang
- Key Laboratory of Agricultural Animal Genetics, Breeding, and Reproduction of the Ministry of Education, Key Laboratory of Swine Genetics and Breeding of the Ministry of Agriculture, College of Animal Science and Technology, Huazhong Agricultural University, Wuhan 430070, China; (W.L.); (D.G.); (C.H.); (Q.Z.); (R.H.)
| | - Qiqi Zhong
- Key Laboratory of Agricultural Animal Genetics, Breeding, and Reproduction of the Ministry of Education, Key Laboratory of Swine Genetics and Breeding of the Ministry of Agriculture, College of Animal Science and Technology, Huazhong Agricultural University, Wuhan 430070, China; (W.L.); (D.G.); (C.H.); (Q.Z.); (R.H.)
| | - Renwu Hua
- Key Laboratory of Agricultural Animal Genetics, Breeding, and Reproduction of the Ministry of Education, Key Laboratory of Swine Genetics and Breeding of the Ministry of Agriculture, College of Animal Science and Technology, Huazhong Agricultural University, Wuhan 430070, China; (W.L.); (D.G.); (C.H.); (Q.Z.); (R.H.)
| | - Minggang Lei
- Key Laboratory of Agricultural Animal Genetics, Breeding, and Reproduction of the Ministry of Education, Key Laboratory of Swine Genetics and Breeding of the Ministry of Agriculture, College of Animal Science and Technology, Huazhong Agricultural University, Wuhan 430070, China; (W.L.); (D.G.); (C.H.); (Q.Z.); (R.H.)
- National Engineering Research Center for Livestock, Huazhong Agricultural University, Wuhan 430070, China
- Department of Pig Production, The Cooperative Innovation Center for Sustainable Pig Production, Wuhan 430070, China
- Correspondence:
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15
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Serum Calprotectin Level as an Inflammatory Marker in Newly Diagnosed Hypertensive Patients. Int J Hypertens 2022; 2022:6912502. [PMID: 35096423 PMCID: PMC8799354 DOI: 10.1155/2022/6912502] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.5] [Reference Citation Analysis] [Abstract] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 09/13/2021] [Revised: 12/31/2021] [Accepted: 01/06/2022] [Indexed: 12/20/2022] Open
Abstract
Background Hypertension is one of the leading causes of cardiovascular mortality. Although the pathogenetic process involved is not yet fully understood, the disease involves endothelial damage and inflammation. Calprotectin is an inflammatory marker that rises in parallel with disease activity in conditions such as systemic inflammatory diseases, infection, and atherosclerosis. The purpose of this study was to evaluate inflammation through serum calprotectin levels in newly diagnosed primary hypertension patients. Methods Forty-nine newly diagnosed hypertensive patients and 38 healthy adults were included in the study. Patients' office blood pressure values, biochemical findings, and demographic characteristics were recorded. Serum calprotectin levels were measured using ELISA. Parameters affecting serum calprotectin levels and determinants of hypertension were evaluated. Results Serum calprotectin levels were 242.8 (72.4–524) ng/mL in the control group and 112.6 (67.4–389.8) ng/mL in the hypertensive patient group, the difference being statistically significant (p=0.001). There was no correlation between serum calprotectin levels and other parameters (blood pressure values, age, gender, serum creatinine, uric acid, and calcium levels) in the hypertensive group. A lower serum calprotectin level was found to be independently related to hypertension (β = −0.009, p=0.005). Serum calprotectin at a cutoff level of 128.6 ng/mL differentiated hypertensives from healthy controls with a sensitivity of 69.4% and specificity of 68.4% (AUC = 0.767). Conclusions The results of this study were the opposite of our hypothesis that a higher calprotectin level may reflect subclinical endothelial damage in newly diagnosed hypertensive patients. Further comparative studies involving patients at different stages of hypertension may contribute to clarifying the relationship between calprotectin and hypertension. We conclude that molecular studies seem essential for understanding the place of calprotectin in hypertension-associated inflammation, a complex process.
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16
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Unterman A, Sumida TS, Nouri N, Yan X, Zhao AY, Gasque V, Schupp JC, Asashima H, Liu Y, Cosme C, Deng W, Chen M, Raredon MSB, Hoehn KB, Wang G, Wang Z, DeIuliis G, Ravindra NG, Li N, Castaldi C, Wong P, Fournier J, Bermejo S, Sharma L, Casanovas-Massana A, Vogels CBF, Wyllie AL, Grubaugh ND, Melillo A, Meng H, Stein Y, Minasyan M, Mohanty S, Ruff WE, Cohen I, Raddassi K, Niklason LE, Ko AI, Montgomery RR, Farhadian SF, Iwasaki A, Shaw AC, van Dijk D, Zhao H, Kleinstein SH, Hafler DA, Kaminski N, Dela Cruz CS. Single-cell multi-omics reveals dyssynchrony of the innate and adaptive immune system in progressive COVID-19. Nat Commun 2022; 13:440. [PMID: 35064122 PMCID: PMC8782894 DOI: 10.1038/s41467-021-27716-4] [Citation(s) in RCA: 79] [Impact Index Per Article: 39.5] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 07/28/2020] [Accepted: 12/03/2021] [Indexed: 02/06/2023] Open
Abstract
Dysregulated immune responses against the SARS-CoV-2 virus are instrumental in severe COVID-19. However, the immune signatures associated with immunopathology are poorly understood. Here we use multi-omics single-cell analysis to probe the dynamic immune responses in hospitalized patients with stable or progressive course of COVID-19, explore V(D)J repertoires, and assess the cellular effects of tocilizumab. Coordinated profiling of gene expression and cell lineage protein markers shows that S100Ahi/HLA-DRlo classical monocytes and activated LAG-3hi T cells are hallmarks of progressive disease and highlights the abnormal MHC-II/LAG-3 interaction on myeloid and T cells, respectively. We also find skewed T cell receptor repertories in expanded effector CD8+ clones, unmutated IGHG+ B cell clones, and mutated B cell clones with stable somatic hypermutation frequency over time. In conclusion, our in-depth immune profiling reveals dyssynchrony of the innate and adaptive immune interaction in progressive COVID-19.
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MESH Headings
- Adaptive Immunity/drug effects
- Adaptive Immunity/genetics
- Adaptive Immunity/immunology
- Aged
- Antibodies, Monoclonal, Humanized/therapeutic use
- CD4-Positive T-Lymphocytes/drug effects
- CD4-Positive T-Lymphocytes/immunology
- CD4-Positive T-Lymphocytes/metabolism
- CD8-Positive T-Lymphocytes/drug effects
- CD8-Positive T-Lymphocytes/immunology
- CD8-Positive T-Lymphocytes/metabolism
- COVID-19/genetics
- COVID-19/immunology
- Cells, Cultured
- Female
- Gene Expression Profiling/methods
- Gene Expression Regulation/drug effects
- Gene Expression Regulation/immunology
- Humans
- Immunity, Innate/drug effects
- Immunity, Innate/genetics
- Immunity, Innate/immunology
- Male
- RNA-Seq/methods
- Receptors, Antigen, B-Cell/genetics
- Receptors, Antigen, B-Cell/immunology
- Receptors, Antigen, T-Cell/genetics
- Receptors, Antigen, T-Cell/immunology
- SARS-CoV-2/drug effects
- SARS-CoV-2/immunology
- SARS-CoV-2/physiology
- Single-Cell Analysis/methods
- COVID-19 Drug Treatment
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Affiliation(s)
- Avraham Unterman
- Section of Pulmonary, Critical Care and Sleep Medicine, Department of Internal Medicine, School of Medicine, Yale University, New Haven, CT, USA.
- Pulmonary Institute, Tel Aviv Sourasky Medical Center, Tel Aviv University, Tel Aviv, Israel.
| | - Tomokazu S Sumida
- Department of Neurology, School of Medicine, Yale University, New Haven, CT, USA.
- Department of Immunobiology, School of Medicine, Yale University, New Haven, CT, USA.
| | - Nima Nouri
- Department of Pathology, Yale School of Medicine, New Haven, CT, USA
- Center for Medical Informatics, Yale School of Medicine, New Haven, CT, USA
- The Jackson Laboratory for Genomic Medicine, Farmington, CT, USA
| | - Xiting Yan
- Section of Pulmonary, Critical Care and Sleep Medicine, Department of Internal Medicine, School of Medicine, Yale University, New Haven, CT, USA
- Department of Biostatistics, Yale School of Public Health, Yale University, New Haven, CT, USA
| | - Amy Y Zhao
- Section of Pulmonary, Critical Care and Sleep Medicine, Department of Internal Medicine, School of Medicine, Yale University, New Haven, CT, USA
- Department of Genetics, Yale School of Medicine, New Haven, CT, USA
- Department of Internal Medicine, Yale School of Medicine, New Haven, CT, USA
| | - Victor Gasque
- Department of Computer Science, Yale University, New Haven, CT, USA
- Cardiovascular Research Center, Section of Cardiovascular Medicine, Department of Internal Medicine, Yale School of Medicine, New Haven, CT, USA
| | - Jonas C Schupp
- Section of Pulmonary, Critical Care and Sleep Medicine, Department of Internal Medicine, School of Medicine, Yale University, New Haven, CT, USA
- Department of Respiratory Medicine, Hannover Medical School and Biomedical Research in End-stage and Obstructive Lung Disease Hannover, German Lung Research Center (DZL), Hannover, Germany
| | - Hiromitsu Asashima
- Department of Neurology, School of Medicine, Yale University, New Haven, CT, USA
- Department of Immunobiology, School of Medicine, Yale University, New Haven, CT, USA
| | - Yunqing Liu
- Department of Biostatistics, Yale School of Public Health, Yale University, New Haven, CT, USA
| | - Carlos Cosme
- Section of Pulmonary, Critical Care and Sleep Medicine, Department of Internal Medicine, School of Medicine, Yale University, New Haven, CT, USA
| | - Wenxuan Deng
- Department of Biostatistics, Yale School of Public Health, Yale University, New Haven, CT, USA
| | - Ming Chen
- Department of Biostatistics, Yale School of Public Health, Yale University, New Haven, CT, USA
| | - Micha Sam Brickman Raredon
- Section of Pulmonary, Critical Care and Sleep Medicine, Department of Internal Medicine, School of Medicine, Yale University, New Haven, CT, USA
- Department of Biomedical Engineering, Yale University, New Haven, CT, USA
- Medical Scientist Training Program, Yale School of Medicine, New Haven, CT, USA
| | - Kenneth B Hoehn
- Department of Pathology, Yale School of Medicine, New Haven, CT, USA
| | - Guilin Wang
- Yale Center for Genome Analysis/Keck Biotechnology Resource Laboratory, Department of Molecular Biophysics and Biochemistry, Yale School of Medicine, New Haven, CT, USA
| | - Zuoheng Wang
- Department of Biostatistics, Yale School of Public Health, Yale University, New Haven, CT, USA
| | - Giuseppe DeIuliis
- Section of Pulmonary, Critical Care and Sleep Medicine, Department of Internal Medicine, School of Medicine, Yale University, New Haven, CT, USA
| | - Neal G Ravindra
- Department of Computer Science, Yale University, New Haven, CT, USA
- Cardiovascular Research Center, Section of Cardiovascular Medicine, Department of Internal Medicine, Yale School of Medicine, New Haven, CT, USA
| | - Ningshan Li
- Department of Biostatistics, Yale School of Public Health, Yale University, New Haven, CT, USA
- SJTU-Yale Joint Center for Biostatistics and Data Science, Department of Bioinformatics and Biostatistics, School of Life Sciences and Biotechnology, Shanghai Jiao Tong University, Shanghai, China
| | | | - Patrick Wong
- Department of Immunobiology, School of Medicine, Yale University, New Haven, CT, USA
| | - John Fournier
- School of Medicine, Yale University, New Haven, CT, USA
| | - Santos Bermejo
- Section of Pulmonary, Critical Care and Sleep Medicine, Department of Internal Medicine, School of Medicine, Yale University, New Haven, CT, USA
| | - Lokesh Sharma
- Section of Pulmonary, Critical Care and Sleep Medicine, Department of Internal Medicine, School of Medicine, Yale University, New Haven, CT, USA
| | - Arnau Casanovas-Massana
- Department of Epidemiology of Microbial Diseases, Yale School of Public Health, New Haven, CT, USA
| | - Chantal B F Vogels
- Department of Epidemiology of Microbial Diseases, Yale School of Public Health, New Haven, CT, USA
| | - Anne L Wyllie
- Department of Epidemiology of Microbial Diseases, Yale School of Public Health, New Haven, CT, USA
| | - Nathan D Grubaugh
- Department of Epidemiology of Microbial Diseases, Yale School of Public Health, New Haven, CT, USA
| | - Anthony Melillo
- Department of Pathology, Yale School of Medicine, New Haven, CT, USA
| | - Hailong Meng
- Department of Pathology, Yale School of Medicine, New Haven, CT, USA
| | - Yan Stein
- Pulmonary Institute, Tel Aviv Sourasky Medical Center, Tel Aviv University, Tel Aviv, Israel
| | - Maksym Minasyan
- Section of Pulmonary, Critical Care and Sleep Medicine, Department of Internal Medicine, School of Medicine, Yale University, New Haven, CT, USA
| | - Subhasis Mohanty
- Section of Infectious Diseases, Department of Internal Medicine, Yale School of Medicine, Yale University, New Haven, CT, USA
| | - William E Ruff
- Department of Neurology, School of Medicine, Yale University, New Haven, CT, USA
- Department of Immunobiology, School of Medicine, Yale University, New Haven, CT, USA
| | - Inessa Cohen
- Department of Neurology, School of Medicine, Yale University, New Haven, CT, USA
- Department of Immunobiology, School of Medicine, Yale University, New Haven, CT, USA
| | - Khadir Raddassi
- Department of Neurology, School of Medicine, Yale University, New Haven, CT, USA
- Department of Immunobiology, School of Medicine, Yale University, New Haven, CT, USA
| | - Laura E Niklason
- Departments of Anesthesiology & Biomedical Engineering, Yale University, New Haven, CT, USA
| | - Albert I Ko
- Department of Epidemiology of Microbial Diseases, Yale School of Public Health, New Haven, CT, USA
| | - Ruth R Montgomery
- Department of Internal Medicine, Yale School of Medicine, New Haven, CT, USA
| | - Shelli F Farhadian
- Department of Neurology, School of Medicine, Yale University, New Haven, CT, USA
- Section of Infectious Diseases, Department of Internal Medicine, Yale School of Medicine, Yale University, New Haven, CT, USA
| | - Akiko Iwasaki
- Department of Immunobiology, School of Medicine, Yale University, New Haven, CT, USA
- Howard Hughes Medical Institute, Chevy Chase, MD, USA
| | - Albert C Shaw
- Section of Infectious Diseases, Department of Internal Medicine, Yale School of Medicine, Yale University, New Haven, CT, USA
| | - David van Dijk
- Department of Computer Science, Yale University, New Haven, CT, USA
- Cardiovascular Research Center, Section of Cardiovascular Medicine, Department of Internal Medicine, Yale School of Medicine, New Haven, CT, USA
| | - Hongyu Zhao
- Department of Biostatistics, Yale School of Public Health, Yale University, New Haven, CT, USA
- Department of Genetics, Yale School of Medicine, New Haven, CT, USA
- SJTU-Yale Joint Center for Biostatistics and Data Science, Department of Bioinformatics and Biostatistics, School of Life Sciences and Biotechnology, Shanghai Jiao Tong University, Shanghai, China
- Inter-Departmental Program in Computational Biology and Bioinformatics, Yale University, New Haven, CT, USA
| | - Steven H Kleinstein
- Department of Immunobiology, School of Medicine, Yale University, New Haven, CT, USA
- Department of Pathology, Yale School of Medicine, New Haven, CT, USA
- Inter-Departmental Program in Computational Biology and Bioinformatics, Yale University, New Haven, CT, USA
| | - David A Hafler
- Department of Neurology, School of Medicine, Yale University, New Haven, CT, USA
- Department of Immunobiology, School of Medicine, Yale University, New Haven, CT, USA
| | - Naftali Kaminski
- Section of Pulmonary, Critical Care and Sleep Medicine, Department of Internal Medicine, School of Medicine, Yale University, New Haven, CT, USA
| | - Charles S Dela Cruz
- Section of Pulmonary, Critical Care and Sleep Medicine, Department of Internal Medicine, School of Medicine, Yale University, New Haven, CT, USA
- West Haven Veterans Affair Medical Center, West Haven, CT, USA
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17
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Jukic A, Bakiri L, Wagner EF, Tilg H, Adolph TE. Calprotectin: from biomarker to biological function. Gut 2021; 70:1978-1988. [PMID: 34145045 PMCID: PMC8458070 DOI: 10.1136/gutjnl-2021-324855] [Citation(s) in RCA: 162] [Impact Index Per Article: 54.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 04/14/2021] [Accepted: 06/02/2021] [Indexed: 12/15/2022]
Abstract
The incidence of inflammatory bowel diseases (IBD) emerged with Westernisation of dietary habits worldwide. Crohn's disease and ulcerative colitis are chronic debilitating conditions that afflict individuals with substantial morbidity and challenge healthcare systems across the globe. Since identification and characterisation of calprotectin (CP) in the 1980s, faecal CP emerged as significantly validated, non-invasive biomarker that allows evaluation of gut inflammation. Faecal CP discriminates between inflammatory and non-inflammatory diseases of the gut and portraits the disease course of human IBD. Recent studies revealed insights into biological functions of the CP subunits S100A8 and S100A9 during orchestration of an inflammatory response at mucosal surfaces across organ systems. In this review, we summarise longitudinal evidence for the evolution of CP from biomarker to rheostat of mucosal inflammation and suggest an algorithm for the interpretation of faecal CP in daily clinical practice. We propose that mechanistic insights into the biological function of CP in the gut and beyond may facilitate interpretation of current assays and guide patient-tailored medical therapy in IBD, a concept warranting controlled clinical trials.
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Affiliation(s)
- Almina Jukic
- Department of Internal Medicine I, Gastroenterology, Hepatology, Endocrinology & Metabolism, Medical University of Innsbruck, Innsbruck, Austria
| | - Latifa Bakiri
- Department of Laboratory Medicine, Medical University of Vienna, Vienna, Austria
| | - Erwin F Wagner
- Department of Laboratory Medicine, Medical University of Vienna, Vienna, Austria
- Department of Dermatology, Medical University of Vienna, Vienna, Austria
| | - Herbert Tilg
- Department of Internal Medicine I, Gastroenterology, Hepatology, Endocrinology & Metabolism, Medical University of Innsbruck, Innsbruck, Austria
| | - Timon E Adolph
- Department of Internal Medicine I, Gastroenterology, Hepatology, Endocrinology & Metabolism, Medical University of Innsbruck, Innsbruck, Austria
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18
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Immunosuppressive Effects of Myeloid-Derived Suppressor Cells in Cancer and Immunotherapy. Cells 2021; 10:cells10051170. [PMID: 34065010 PMCID: PMC8150533 DOI: 10.3390/cells10051170] [Citation(s) in RCA: 17] [Impact Index Per Article: 5.7] [Reference Citation Analysis] [Abstract] [Key Words] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 03/30/2021] [Revised: 05/01/2021] [Accepted: 05/07/2021] [Indexed: 12/11/2022] Open
Abstract
The primary function of myeloid cells is to protect the host from infections. However, during cancer progression or states of chronic inflammation, these cells develop into myeloid-derived suppressor cells (MDSCs) that play a prominent role in suppressing anti-tumor immunity. Overcoming the suppressive effects of MDSCs is a major hurdle in cancer immunotherapy. Therefore, understanding the mechanisms by which MDSCs promote tumor growth is essential for improving current immunotherapies and developing new ones. This review explores mechanisms by which MDSCs suppress T-cell immunity and how this impacts the efficacy of commonly used immunotherapies.
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19
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Genovese I, Carinci M, Modesti L, Aguiari G, Pinton P, Giorgi C. Mitochondria: Insights into Crucial Features to Overcome Cancer Chemoresistance. Int J Mol Sci 2021; 22:ijms22094770. [PMID: 33946271 PMCID: PMC8124268 DOI: 10.3390/ijms22094770] [Citation(s) in RCA: 23] [Impact Index Per Article: 7.7] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 03/28/2021] [Revised: 04/22/2021] [Accepted: 04/27/2021] [Indexed: 02/06/2023] Open
Abstract
Mitochondria are key regulators of cell survival and are involved in a plethora of mechanisms, such as metabolism, Ca2+ signaling, reactive oxygen species (ROS) production, mitophagy and mitochondrial transfer, fusion, and fission (known as mitochondrial dynamics). The tuning of these processes in pathophysiological conditions is fundamental to the balance between cell death and survival. Indeed, ROS overproduction and mitochondrial Ca2+ overload are linked to the induction of apoptosis, while the impairment of mitochondrial dynamics and metabolism can have a double-faceted role in the decision between cell survival and death. Tumorigenesis involves an intricate series of cellular impairments not yet completely clarified, and a further level of complexity is added by the onset of apoptosis resistance mechanisms in cancer cells. In the majority of cases, cancer relapse or lack of responsiveness is related to the emergence of chemoresistance, which may be due to the cooperation of several cellular protection mechanisms, often mitochondria-related. With this review, we aim to critically report the current evidence on the relationship between mitochondria and cancer chemoresistance with a particular focus on the involvement of mitochondrial dynamics, mitochondrial Ca2+ signaling, oxidative stress, and metabolism to possibly identify new approaches or targets for overcoming cancer resistance.
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Affiliation(s)
- Ilaria Genovese
- Department of Medical Sciences, Section of Experimental Medicine, University of Ferrara, 44121 Ferrara, Italy; (I.G.); (M.C.); (L.M.); (P.P.)
| | - Marianna Carinci
- Department of Medical Sciences, Section of Experimental Medicine, University of Ferrara, 44121 Ferrara, Italy; (I.G.); (M.C.); (L.M.); (P.P.)
| | - Lorenzo Modesti
- Department of Medical Sciences, Section of Experimental Medicine, University of Ferrara, 44121 Ferrara, Italy; (I.G.); (M.C.); (L.M.); (P.P.)
| | - Gianluca Aguiari
- Department of Neuroscience and Rehabilitation, Section of Biochemistry, Molecular Biology and Genetics, University of Ferrara, 44121 Ferrara, Italy;
| | - Paolo Pinton
- Department of Medical Sciences, Section of Experimental Medicine, University of Ferrara, 44121 Ferrara, Italy; (I.G.); (M.C.); (L.M.); (P.P.)
| | - Carlotta Giorgi
- Department of Medical Sciences, Section of Experimental Medicine, University of Ferrara, 44121 Ferrara, Italy; (I.G.); (M.C.); (L.M.); (P.P.)
- Correspondence:
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20
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Frosch J, Leontari I, Anderson J. Combined Effects of Myeloid Cells in the Neuroblastoma Tumor Microenvironment. Cancers (Basel) 2021; 13:1743. [PMID: 33917501 PMCID: PMC8038814 DOI: 10.3390/cancers13071743] [Citation(s) in RCA: 4] [Impact Index Per Article: 1.3] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 03/15/2021] [Revised: 04/02/2021] [Accepted: 04/02/2021] [Indexed: 12/13/2022] Open
Abstract
Despite multimodal treatment, survival chances for high-risk neuroblastoma patients remain poor. Immunotherapeutic approaches focusing on the activation and/or modification of host immunity for eliminating tumor cells, such as chimeric antigen receptor (CAR) T cells, are currently in development, however clinical trials have failed to reproduce the preclinical results. The tumor microenvironment is emerging as a major contributor to immune suppression and tumor evasion in solid cancers and thus has to be overcome for therapies relying on a functional immune response. Among the cellular components of the neuroblastoma tumor microenvironment, suppressive myeloid cells have been described as key players in inhibition of antitumor immune responses and have been shown to positively correlate with more aggressive disease, resistance to treatments, and overall poor prognosis. This review article summarizes how neuroblastoma-driven inflammation induces suppressive myeloid cells in the tumor microenvironment and how they in turn sustain the tumor niche through suppressor functions, such as nutrient depletion and generation of oxidative stress. Numerous preclinical studies have suggested a range of drug and cellular therapy approaches to overcome myeloid-derived suppression in neuroblastoma that warrant evaluation in future clinical studies.
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Affiliation(s)
| | | | - John Anderson
- UCL Institute of Child Health, Developmental Biology and Cancer Section, University College London, London WC1N 1EH, UK; (J.F.); (I.L.)
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21
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Gaurav R, Mikuls TR, Thiele GM, Nelson AJ, Niu M, Guda C, Eudy JD, Barry AE, Wyatt TA, Romberger DJ, Duryee MJ, England BR, Poole JA. High-throughput analysis of lung immune cells in a combined murine model of agriculture dust-triggered airway inflammation with rheumatoid arthritis. PLoS One 2021; 16:e0240707. [PMID: 33577605 PMCID: PMC7880471 DOI: 10.1371/journal.pone.0240707] [Citation(s) in RCA: 7] [Impact Index Per Article: 2.3] [Reference Citation Analysis] [Abstract] [MESH Headings] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 09/29/2020] [Accepted: 12/18/2020] [Indexed: 01/10/2023] Open
Abstract
Rheumatoid arthritis (RA)-associated lung disease is a leading cause of mortality in RA, yet the mechanisms linking lung disease and RA remain unknown. Using an established murine model of RA-associated lung disease combining collagen-induced arthritis (CIA) with organic dust extract (ODE)-induced airway inflammation, differences among lung immune cell populations were analyzed by single cell RNA-sequencing. Additionally, four lung myeloid-derived immune cell populations including macrophages, monocytes/macrophages, monocytes, and neutrophils were isolated by fluorescence cell sorting and gene expression was determined by NanoString analysis. Unsupervised clustering revealed 14 discrete clusters among Sham, CIA, ODE, and CIA+ODE treatment groups: 3 neutrophils (inflammatory, resident/transitional, autoreactive/suppressor), 5 macrophages (airspace, differentiating/recruited, recruited, resident/interstitial, and proliferative airspace), 2 T-cells (differentiating and effector), and a single cluster each of inflammatory monocytes, dendritic cells, B-cells and natural killer cells. Inflammatory monocytes, autoreactive/suppressor neutrophils, and recruited/differentiating macrophages were predominant with arthritis induction (CIA and CIA+ODE). By specific lung cell isolation, several interferon-related and autoimmune genes were disproportionately expressed among CIA and CIA+ODE (e.g. Oasl1, Oas2, Ifit3, Gbp2, Ifi44, and Zbp1), corresponding to RA and RA-associated lung disease. Monocytic myeloid-derived suppressor cells were reduced, while complement genes (e.g. C1s1 and Cfb) were uniquely increased in CIA+ODE mice across cell populations. Recruited and inflammatory macrophages/monocytes and neutrophils expressing interferon-, autoimmune-, and complement-related genes might contribute towards pro-fibrotic inflammatory lung responses following airborne biohazard exposures in setting of autoimmune arthritis and could be predictive and/or targeted to reduce disease burden.
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Affiliation(s)
- Rohit Gaurav
- Division of Allergy and Immunology, Department of Internal Medicine, University of Nebraska Medical Center, Omaha, NE, United States of America
- * E-mail:
| | - Ted R. Mikuls
- Veterans Affairs Nebraska-Western Iowa Health Care System, Research Service, Omaha, NE, United States of America
- Division of Rheumatology & Immunology, Department of Internal Medicine, University of Nebraska Medical Center, Omaha, NE, United States of America
| | - Geoffrey M. Thiele
- Veterans Affairs Nebraska-Western Iowa Health Care System, Research Service, Omaha, NE, United States of America
- Division of Rheumatology & Immunology, Department of Internal Medicine, University of Nebraska Medical Center, Omaha, NE, United States of America
| | - Amy J. Nelson
- Division of Allergy and Immunology, Department of Internal Medicine, University of Nebraska Medical Center, Omaha, NE, United States of America
| | - Meng Niu
- Department of Genetics, Cell Biology and Anatomy, University of Nebraska Medical Center, Omaha, NE, United States of America
| | - Chittibabu Guda
- Department of Genetics, Cell Biology and Anatomy, University of Nebraska Medical Center, Omaha, NE, United States of America
| | - James D. Eudy
- Department of Genetics, Cell Biology and Anatomy, University of Nebraska Medical Center, Omaha, NE, United States of America
| | - Austin E. Barry
- Division of Allergy and Immunology, Department of Internal Medicine, University of Nebraska Medical Center, Omaha, NE, United States of America
| | - Todd A. Wyatt
- Veterans Affairs Nebraska-Western Iowa Health Care System, Research Service, Omaha, NE, United States of America
- Division of Pulmonary, Critical Care & Sleep, Department of Internal Medicine, University of Nebraska Medical Center, Omaha, NE, United States of America
- Department of Environmental, Agricultural & Occupational Health, College of Public Health, University of Nebraska Medical Center, Omaha, NE, United States of America
- Department of Internal Medicine, University of Nebraska Medical Center, Omaha, NE, United States of America
| | - Debra J. Romberger
- Veterans Affairs Nebraska-Western Iowa Health Care System, Research Service, Omaha, NE, United States of America
- Division of Pulmonary, Critical Care & Sleep, Department of Internal Medicine, University of Nebraska Medical Center, Omaha, NE, United States of America
| | - Michael J. Duryee
- Veterans Affairs Nebraska-Western Iowa Health Care System, Research Service, Omaha, NE, United States of America
- Division of Rheumatology & Immunology, Department of Internal Medicine, University of Nebraska Medical Center, Omaha, NE, United States of America
| | - Bryant R. England
- Veterans Affairs Nebraska-Western Iowa Health Care System, Research Service, Omaha, NE, United States of America
- Division of Rheumatology & Immunology, Department of Internal Medicine, University of Nebraska Medical Center, Omaha, NE, United States of America
| | - Jill A. Poole
- Division of Allergy and Immunology, Department of Internal Medicine, University of Nebraska Medical Center, Omaha, NE, United States of America
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22
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Mints M, Landin D, Näsman A, Mirzaie L, Ursu RG, Zupancic M, Marklund L, Dalianis T, Munck-Wikland E, Ramqvist T. Tumour inflammation signature and expression of S100A12 and HLA class I improve survival in HPV-negative hypopharyngeal cancer. Sci Rep 2021; 11:1782. [PMID: 33469045 PMCID: PMC7815817 DOI: 10.1038/s41598-020-80226-z] [Citation(s) in RCA: 4] [Impact Index Per Article: 1.3] [Reference Citation Analysis] [Abstract] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 08/15/2020] [Accepted: 12/17/2020] [Indexed: 01/08/2023] Open
Abstract
Hypopharyngeal squamous cell carcinoma (HPSCC) has a very poor prognosis. Local surgery may increase survival, but is often avoided due to significant post-op co-morbidities. Since prognostic markers are lacking, the aim was to find predictive biomarkers that identify patients whose response to oncological treatment is poor and who may benefit from primary surgery to increase survival. Pretreatment biopsies from 23 HPSCC patients, 3 human papillomavirus (HPV) positive and 20 HPV-negative, were analyzed for expression of 750 mRNAs using the Nanostring nCounter IO360 panel in relation to 3-year survival. Validation was performed through immunohistochemistry (IHC) for HLA class I and S100A12 in 74 HPV-negative HPSCC samples. Clustering identified a subset of HPV-negative HPSCC with favorable prognosis and a gene expression signature overexpressing calgranulins and immune genes, distinct from that of HPV-positive HPSCC. Enrichment analysis showed immune signaling, including the tumor inflammation signature, to be enriched in surviving patients. IHC validation confirmed high S100A12 and HLA class I expression to correlate with survival in HPV-negative HPSCC. This shows that immune activity is strongly related to survival in HPV-negative HPSCC. Enrichment of the tumor inflammation signature indicates a potential benefit of immunotherapy. Low expression of both HLA class I and S100A12 could be used to select patients for local surgery.
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Affiliation(s)
- Michael Mints
- Department of Molecular Cell Biology, Weizmann Institute of Science, Rehovot, Israel.,Department of Surgical and Perioperative Sciences, Urology and Andrology, Umeå University, Umeå, Sweden
| | - David Landin
- Department of Clinical Science, Intervention and Technology (CLINTEC), Karolinska Institutet, Karolinska University Hospital, Stockholm, Sweden.,Department of Otorhinolaryngology, Head and Neck Surgery, Karolinska University Hospital, Stockholm, Sweden
| | - Anders Näsman
- Department of Oncology-Pathology, Karolinska Institutet, Bioclinicum J6:20, Karolinska University Hospital, 171 64, Solna, Sweden.,Departement of Clinical Pathology and Cytology, Cancer Center Karolinska, R8:02, Karolinska University Hospital, Stockholm, Sweden
| | - Leila Mirzaie
- Department of Oncology-Pathology, Karolinska Institutet, Bioclinicum J6:20, Karolinska University Hospital, 171 64, Solna, Sweden
| | - Ramona Gabriela Ursu
- Microbiology Department, University of Medicine sand Pharmacy, Grigore T Popa, Iasi, Romania
| | - Mark Zupancic
- Department of Clinical Science, Intervention and Technology (CLINTEC), Karolinska Institutet, Karolinska University Hospital, Stockholm, Sweden.,Department of Oncology-Pathology, Karolinska Institutet, Bioclinicum J6:20, Karolinska University Hospital, 171 64, Solna, Sweden
| | - Linda Marklund
- Department of Clinical Science, Intervention and Technology (CLINTEC), Karolinska Institutet, Karolinska University Hospital, Stockholm, Sweden.,Department of Otorhinolaryngology, Head and Neck Surgery, Karolinska University Hospital, Stockholm, Sweden
| | - Tina Dalianis
- Department of Oncology-Pathology, Karolinska Institutet, Bioclinicum J6:20, Karolinska University Hospital, 171 64, Solna, Sweden
| | - Eva Munck-Wikland
- Department of Clinical Science, Intervention and Technology (CLINTEC), Karolinska Institutet, Karolinska University Hospital, Stockholm, Sweden.,Department of Otorhinolaryngology, Head and Neck Surgery, Karolinska University Hospital, Stockholm, Sweden
| | - Torbjörn Ramqvist
- Department of Clinical Science, Intervention and Technology (CLINTEC), Karolinska Institutet, Karolinska University Hospital, Stockholm, Sweden. .,Department of Oncology-Pathology, Karolinska Institutet, Bioclinicum J6:20, Karolinska University Hospital, 171 64, Solna, Sweden.
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23
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Activation of proprotein convertase in the mouse habenula causes depressive-like behaviors through remodeling of extracellular matrix. Neuropsychopharmacology 2021; 46:442-454. [PMID: 32942293 PMCID: PMC7852607 DOI: 10.1038/s41386-020-00843-0] [Citation(s) in RCA: 5] [Impact Index Per Article: 1.7] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 03/23/2020] [Revised: 07/20/2020] [Accepted: 08/25/2020] [Indexed: 12/16/2022]
Abstract
The lateral habenula (LHb) attracts a growing interest as a regulator of monoaminergic activity which were frequently reported to be defective in depression. Here we found that chronic social defeat stress (CSDS) increased production of pro-inflammatory cytokines in LHb associated with mobilization of monocytes and remodeling of extracellular matrix by increased matrix metalloproteinase (MMP) activity. RNA-seq analysis identified proprotein convertase Pcsk5 as an upstream regulator of MMP activation, with upregulation in LHb neurons of mice with susceptibility to CSDS. PCSK5 facilitated motility of microglia in vitro by converting inactive pro-MMP14 and pro-MMP2 to their active forms, highlighting its role in mobilization of microglia and monocytes in neuroinflammation. Suppression of Pcsk5 expression via small interfering RNA (siRNA) ameliorated depressive-like behaviors and pathological mobilization of monocytes in mice with susceptibility to CSDS. PCSK5-MMPs signaling pathway could be a target for development of the antidepressants targeting the inflammatory response in specific brain regions implicated in depression.
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24
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Syage AR, Ekiz HA, Skinner DD, Stone C, O'Connell RM, Lane TE. Single-Cell RNA Sequencing Reveals the Diversity of the Immunological Landscape following Central Nervous System Infection by a Murine Coronavirus. J Virol 2020; 94:e01295-20. [PMID: 32999036 PMCID: PMC7925182 DOI: 10.1128/jvi.01295-20] [Citation(s) in RCA: 17] [Impact Index Per Article: 4.3] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 06/26/2020] [Accepted: 09/16/2020] [Indexed: 01/12/2023] Open
Abstract
Intracranial (i.c.) infection of susceptible C57BL/6 mice with the neurotropic JHM strain of mouse hepatitis virus (JHMV) (a member of the Coronaviridae family) results in acute encephalomyelitis and viral persistence associated with an immune-mediated demyelinating disease. The present study was undertaken to better understand the molecular pathways evoked during innate and adaptive immune responses as well as the chronic demyelinating stage of disease in response to JHMV infection of the central nervous system (CNS). Using single-cell RNA sequencing analysis (scRNAseq) on flow-sorted CD45-positive (CD45+) cells enriched from brains and spinal cords of experimental mice, we demonstrate the heterogeneity of the immune response as determined by the presence of unique molecular signatures and pathways involved in effective antiviral host defense. Furthermore, we identify potential genes involved in contributing to demyelination as well as remyelination being expressed by both microglia and macrophages. Collectively, these findings emphasize the diversity of the immune responses and molecular networks at defined stages following viral infection of the CNS.IMPORTANCE Understanding the immunological mechanisms contributing to both host defense and disease following viral infection of the CNS is of critical importance given the increasing number of viruses that are capable of infecting and replicating within the nervous system. With this in mind, the present study was undertaken to evaluate the molecular signatures of immune cells within the CNS at defined times following infection with a neuroadapted murine coronavirus using scRNAseq. This approach has revealed that the immunological landscape is diverse, with numerous immune cell subsets expressing distinct mRNA expression profiles that are, in part, dictated by the stage of infection. In addition, these findings reveal new insight into cellular pathways contributing to control of viral replication as well as to neurologic disease.
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Affiliation(s)
- Amber R Syage
- Division of Microbiology & Immunology, Department of Pathology, School of Medicine, University of Utah, Salt Lake City, Utah, USA
| | - H Atakan Ekiz
- Division of Microbiology & Immunology, Department of Pathology, School of Medicine, University of Utah, Salt Lake City, Utah, USA
- Huntsman Cancer Institute, University of Utah, Salt Lake City, Utah, USA
| | - Dominic D Skinner
- Division of Microbiology & Immunology, Department of Pathology, School of Medicine, University of Utah, Salt Lake City, Utah, USA
| | - Colleen Stone
- Division of Microbiology & Immunology, Department of Pathology, School of Medicine, University of Utah, Salt Lake City, Utah, USA
| | - Ryan M O'Connell
- Division of Microbiology & Immunology, Department of Pathology, School of Medicine, University of Utah, Salt Lake City, Utah, USA
- Huntsman Cancer Institute, University of Utah, Salt Lake City, Utah, USA
| | - Thomas E Lane
- Division of Microbiology & Immunology, Department of Pathology, School of Medicine, University of Utah, Salt Lake City, Utah, USA
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25
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Mossel DM, Moganti K, Riabov V, Weiss C, Kopf S, Cordero J, Dobreva G, Rots MG, Klüter H, Harmsen MC, Kzhyshkowska J. Epigenetic Regulation of S100A9 and S100A12 Expression in Monocyte-Macrophage System in Hyperglycemic Conditions. Front Immunol 2020; 11:1071. [PMID: 32582175 PMCID: PMC7280556 DOI: 10.3389/fimmu.2020.01071] [Citation(s) in RCA: 23] [Impact Index Per Article: 5.8] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 11/25/2019] [Accepted: 05/04/2020] [Indexed: 12/13/2022] Open
Abstract
The number of diabetic patients in Europe and world-wide is growing. Diabetes confers a 2-fold higher risk for vascular disease. Lack of insulin production (Type 1 diabetes, T1D) or lack of insulin responsiveness (Type 2 diabetes, T2D) causes systemic metabolic changes such as hyperglycemia (HG) which contribute to the pathology of diabetes. Monocytes and macrophages are key innate immune cells that control inflammatory reactions associated with diabetic vascular complications. Inflammatory programming of macrophages is regulated and maintained by epigenetic mechanisms, in particular histone modifications. The aim of our study was to identify the epigenetic mechanisms involved in the hyperglycemia-mediated macrophage activation. Using Affymetrix microarray profiling and RT-qPCR we identified that hyperglycemia increased the expression of S100A9 and S100A12 in primary human macrophages. Expression of S100A12 was sustained after glucose levels were normalized. Glucose augmented the response of macrophages to Toll-like receptor (TLR)-ligands Palmatic acid (PA) and Lipopolysaccharide (LPS) i.e., pro-inflammatory stimulation. The abundance of activating histone Histone 3 Lysine 4 methylation marks (H3K4me1, H3K4me3) and general acetylation on histone 3 (AceH3) with the promoters of these genes was analyzed by chromatin immunoprecipitation. Hyperglycemia increased acetylation of histones bound to the promoters of S100A9 and S100A12 in M1 macrophages. In contrast, hyperglycemia caused a reduction in total H3 which correlated with the increased expression of both S100 genes. The inhibition of histone methyltransferases SET domain-containing protein (SET)7/9 and SET and MYND domain-containing protein (SMYD)3 showed that these specifically regulated S100A12 expression. We conclude that hyperglycemia upregulates expression of S100A9, S100A12 via epigenetic regulation and induces an activating histone code on the respective gene promoters in M1 macrophages. Mechanistically, this regulation relies on action of histone methyltransferases SMYD3 and SET7/9. The results define an important role for epigenetic regulation in macrophage mediated inflammation in diabetic conditions.
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Affiliation(s)
- Dieuwertje M Mossel
- Medical Faculty Mannheim, Institute of Transfusion Medicine and Immunology, Heidelberg University, Mannheim, Germany
| | - Kondaiah Moganti
- Medical Faculty Mannheim, Institute of Transfusion Medicine and Immunology, Heidelberg University, Mannheim, Germany.,Department of Dermatology, University of Münster, Münster, Germany
| | - Vladimir Riabov
- Medical Faculty Mannheim, Institute of Transfusion Medicine and Immunology, Heidelberg University, Mannheim, Germany
| | - Christel Weiss
- Department of Medical Statistics, Biomathematics and Information Processing, Medical Faculty Mannheim, Heidelberg University, Mannheim, Germany
| | - Stefan Kopf
- Department of Medicine I: Endocrinology and Clinical Chemistry, University Hospital Heidelberg, Heidelberg, Germany
| | - Julio Cordero
- Anatomy and Developmental Biology, CBTM, Medical Faculty Mannheim, Heidelberg University, Mannheim, Germany
| | - Gergana Dobreva
- Anatomy and Developmental Biology, CBTM, Medical Faculty Mannheim, Heidelberg University, Mannheim, Germany
| | - Marianne G Rots
- Department Pathology and Medical Biology, University Medical Centre Groningen, University of Groningen, Groningen, Netherlands
| | - Harald Klüter
- Medical Faculty Mannheim, Institute of Transfusion Medicine and Immunology, Heidelberg University, Mannheim, Germany.,German Red Cross Blood Service Baden-Württemberg - Hessen, Mannheim, Germany
| | - Martin C Harmsen
- Department Pathology and Medical Biology, University Medical Centre Groningen, University of Groningen, Groningen, Netherlands
| | - Julia Kzhyshkowska
- Medical Faculty Mannheim, Institute of Transfusion Medicine and Immunology, Heidelberg University, Mannheim, Germany.,German Red Cross Blood Service Baden-Württemberg - Hessen, Mannheim, Germany
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26
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Bergenfelz C, Leandersson K. The Generation and Identity of Human Myeloid-Derived Suppressor Cells. Front Oncol 2020; 10:109. [PMID: 32117758 PMCID: PMC7025543 DOI: 10.3389/fonc.2020.00109] [Citation(s) in RCA: 72] [Impact Index Per Article: 18.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 11/25/2019] [Accepted: 01/21/2020] [Indexed: 12/29/2022] Open
Abstract
Myeloid-derived suppressor cells (MDSCs) are cells of myeloid lineage with a potent immunosuppressive capacity. They are present in cancer patients as well as in patients with severe inflammatory conditions and infections. MDSCs exist as two main subtypes, the granulocytic (G-MDSCs) and the monocytic (Mo-MDSCs) type, as defined by their surface phenotype and functions. While the functions of MDSCs have been investigated in depth, the origin of human MDSCs is less characterized and even controversial. In this review, we recapitulate theories on how MDSCs are generated in mice, and whether this knowledge is translatable into human MDSC biology, as well as on problems of defining MDSCs by their immature cell surface phenotype in relation to the plasticity of myeloid cells. Finally, the challenge of pharmacological targeting of MDSCs in the future is envisioned.
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Affiliation(s)
- Caroline Bergenfelz
- Department of Translational Medicine, Division of Experimental Infection Medicine, Lund University, Malmö, Sweden
| | - Karin Leandersson
- Department of Translational Medicine, Cancer Immunology, Lund University, Skåne University Hospital, Malmö, Sweden
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27
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Diklić M, Mitrović-Ajtić O, Subotički T, Djikić D, Kovačić M, Bjelica S, Beleslin-Čokić B, Tošić M, Leković D, Gotić M, Santibanez JF, Čokić VP. IL6 inhibition of inflammatory S100A8/9 proteins is NF-κB mediated in essential thrombocythemia. Cell Biochem Funct 2019; 38:362-372. [PMID: 31885098 DOI: 10.1002/cbf.3482] [Citation(s) in RCA: 3] [Impact Index Per Article: 0.6] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 09/20/2019] [Revised: 10/24/2019] [Accepted: 12/15/2019] [Indexed: 11/07/2022]
Abstract
This study has been performed to determine the mechanism of activation of the myeloid related S100A proteins by inflammatory cytokines in myeloproliferative neoplasm (MPN). Besides microarray analysis of MPN-derived CD34+ cells, we analysed the pro-inflammatory IL6 and anti-inflammatory IL10 dependence of NF-κB, PI3K-AKT, and JAK-STAT signalling during induction of S100A proteins in mononuclear cells of MPN, by immunoblotting and flow cytometry. We observed the reduced gene expression linked to NF-κB and inflammation signalling in MPN-derived CD34+ cells. Both IL6 and IL10 reduced S100A8 and 100A9 protein levels mediated via NF-κB and PI3K signalling, respectively, in mononuclear cells of essential thrombocythemia (ET). We also determined the increased percentage of S100A8 and S100A9 positive granulocytes in ET and primary myelofibrosis, upgraded by the JAK2V617F mutant allele burden. S100A8/9 heterodimer induced JAK1/2-dependent mitotic arrest of the ET-derived granulocytes. SIGNIFICANCE OF THE STUDY: We demonstrated that inflammation reduced the myeloid related S100A8/9 proteins by negative feedback mechanism in ET. S100A8/9 can be a diagnostic marker of inflammation in MPN, supported by the concomitant NF-κB and JAK1/2 signalling inhibition in regulation of myeloproliferation and therapy of MPN.
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Affiliation(s)
- Miloš Diklić
- Department of Molecular Oncology, Institute for Medical Research, University of Belgrade, Belgade, Serbia
| | - Olivera Mitrović-Ajtić
- Department of Molecular Oncology, Institute for Medical Research, University of Belgrade, Belgade, Serbia
| | - Tijana Subotički
- Department of Molecular Oncology, Institute for Medical Research, University of Belgrade, Belgade, Serbia
| | - Dragoslava Djikić
- Department of Molecular Oncology, Institute for Medical Research, University of Belgrade, Belgade, Serbia
| | - Marijana Kovačić
- Department of Molecular Oncology, Institute for Medical Research, University of Belgrade, Belgade, Serbia
| | - Sunčica Bjelica
- Department of Molecular Oncology, Institute for Medical Research, University of Belgrade, Belgade, Serbia
| | - Bojana Beleslin-Čokić
- Clinic for Endocrinology, Diabetes and Metabolic Diseases, Genetic Laboratory, Clinical Center of Serbia, Belgrade, Serbia
| | - Milica Tošić
- Department of Molecular Oncology, Institute for Medical Research, University of Belgrade, Belgade, Serbia
| | - Danijela Leković
- Clinic of Hematology, Clinical Center of Serbia, Belgrade, Serbia.,School of Medicine, University of Belgrade, Belgrade, Serbia
| | - Mirjana Gotić
- Clinic of Hematology, Clinical Center of Serbia, Belgrade, Serbia.,School of Medicine, University of Belgrade, Belgrade, Serbia
| | - Juan F Santibanez
- Department of Molecular Oncology, Institute for Medical Research, University of Belgrade, Belgade, Serbia
| | - Vladan P Čokić
- Department of Molecular Oncology, Institute for Medical Research, University of Belgrade, Belgade, Serbia
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28
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Voskamp C, van de Peppel J, Gasparini S, Giannoni P, van Leeuwen JPTM, van Osch GJVM, Narcisi R. Sorting living mesenchymal stem cells using a TWIST1 RNA-based probe depends on incubation time and uptake capacity. Cytotechnology 2019; 72:37-45. [PMID: 31728801 PMCID: PMC7002702 DOI: 10.1007/s10616-019-00355-w] [Citation(s) in RCA: 2] [Impact Index Per Article: 0.4] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 07/24/2019] [Accepted: 11/07/2019] [Indexed: 12/26/2022] Open
Abstract
Bone marrow derived mesenchymal stromal cells (BMSCs) are multipotent progenitors of particular interest for cell-based tissue engineering therapies. However, one disadvantage that limit their clinical use is their heterogeneity. In the last decades a great effort was made to select BMSC subpopulations based on cell surface markers, however there is still no general consensus on which markers to use to obtain the best BMSCs for tissue regeneration. Looking for alternatives we decided to focus on a probe-based method to detect intracellular mRNA in living cells, the SmartFlare technology. This technology does not require fixation of the cells and allows us to sort living cells based on gene expression into functionally different populations. However, since the technology is available it is debated whether the probes specifically recognize their target mRNAs. We validated the TWIST1 probe and demonstrated that it specifically recognizes TWIST1 in BMSCs. However, differences in probe concentration, incubation time and cellular uptake can strongly influence signal specificity. In addition we found that TWIST1high expressing cells have an increased expansion rate compared to TWIST1low expressing cells derived
from the same initial population of BMSCs. The SmartFlare probes recognize their target gene, however for each probe and cell type validation of the protocol is necessary.
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Affiliation(s)
- Chantal Voskamp
- Department of Orthopaedics, Erasmus MC, 3015 CN, Rotterdam, The Netherlands
| | | | - Simona Gasparini
- Department of Orthopaedics, Erasmus MC, 3015 CN, Rotterdam, The Netherlands.,Department of Experimental Medicine, University of Genova, Genoa, Italy
| | - Paolo Giannoni
- Department of Experimental Medicine, University of Genova, Genoa, Italy
| | | | - Gerjo J V M van Osch
- Department of Orthopaedics, Erasmus MC, 3015 CN, Rotterdam, The Netherlands.,Department of Otorhinolaryngology, Erasmus MC, 3015 CN, Rotterdam, The Netherlands
| | - Roberto Narcisi
- Department of Orthopaedics, Erasmus MC, 3015 CN, Rotterdam, The Netherlands.
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29
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Ou J, Zhou Z, Chen Z, Tan H. Optical Diagnostic Based on Functionalized Gold Nanoparticles. Int J Mol Sci 2019; 20:E4346. [PMID: 31491861 PMCID: PMC6770972 DOI: 10.3390/ijms20184346] [Citation(s) in RCA: 29] [Impact Index Per Article: 5.8] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 07/31/2019] [Revised: 09/02/2019] [Accepted: 09/03/2019] [Indexed: 12/19/2022] Open
Abstract
Au nanoparticles (NPs) possess unique physicochemical and optical properties, showing great potential in biomedical applications. Diagnostic spectroscopy utilizing varied Au NPs has become a precision tool of in vitro and in vivo diagnostic for cancer and other specific diseases. In this review, we tried to comprehensively introduce the remarkable optical properties of Au NPs, including localized surfaces plasmon resonance (LSPR), surface-enhanced Raman scattering (SERS), and metal-enhanced fluorescence (MEF). Then, we highlighted the excellent works using Au NPs for optical diagnostic applications. Ultimately, the challenges and future perspective of using Au NPs for optical diagnostic were discussed.
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Affiliation(s)
- Jiemei Ou
- School of Traditional Chinese Medicine Resources, Guangdong Pharmaceutical University, Guangzhou 510006, China.
| | - Zidan Zhou
- School of Pharmacy, Guangdong Pharmaceutical University, Guangzhou 510006, China.
| | - Zhong Chen
- Instrumentation and Service Center for Physical Sciences, School of Science, Westlake University, 18 Shilongshan Road, Xihu District, Hangzhou 310064, China.
- School of Chemistry, Sun Yat-sen University, Guangzhou 510275, China.
| | - Huijun Tan
- School of Chemistry, Sun Yat-sen University, Guangzhou 510275, China.
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30
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Hu C, Zhen Y, Pang B, Lin X, Yi H. Myeloid-Derived Suppressor Cells Are Regulated by Estradiol and Are a Predictive Marker for IVF Outcome. Front Endocrinol (Lausanne) 2019; 10:521. [PMID: 31417498 PMCID: PMC6682648 DOI: 10.3389/fendo.2019.00521] [Citation(s) in RCA: 8] [Impact Index Per Article: 1.6] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 04/28/2019] [Accepted: 07/16/2019] [Indexed: 12/11/2022] Open
Abstract
In vitro fertilization (IVF) is an effective means to treat infertility, but the pregnancy rate is still unsatisfactory and reliable markers to predict pregnancy outcome are ill-defined. Myeloid-derived suppressor cell (MDSC) are critically involved in decisions related to the acceptance or rejection of foreign fetal antigens by the maternal immune system. However, factors that regulate peripheral blood MDSC during pre-pregnancy are poorly defined. Thus, the goal of this study was to assess the relationships among serum estradiol (E2) and endothelial growth factor (VEGF) levels, MDSC ratios, and pregnancy outcome associated with IVF. Patients undergoing IVF treatment (n = 54) were recruited from January to June 2018. Levels of E2 and VEGF were measured by ELISA, MDSC ratios among peripheral blood mononuclear cells (PBMC) were detected by flow cytometry, and the crosstalk among these parameters was analyzed. A receiver operating characteristic curve (ROC) of MDSC levels was plotted to assess this measure as an independent predictive factor for pregnancy. In addition, we analyzed the possible involvement of molecular pathways by bioinformatics. When E2 levels were <4,000 pg/ml, MDSC proportion was positively correlated with serum E2 and VEGF levels. However, when E2 levels were >4,000 pg/ml, MDSC ratio and VEGF levels were negatively correlated with E2. A ROC curve revealed that the percentage of MDSC had better sensitivity and specificity at a concentration of 8.22% (0.875 and 0.75, respectively; area under the curve (AUC) = 0.859) to predict pregnancy success, based on multiple logistic regression analysis. Furthermore, we found 12 target genes of E2 and VEGF, and also functional genes related to MDSC, indicating potential protein-protein interactions underlying these associations. In summary, we showed that E2, depending on its concentration, might play a dichotomous role in influencing the MDSC proportion by regulating VEGF. In IVF patients, an increased MDSC ratio among PBMC was highly correlated with elevated pregnancy rates, independent of the effects of E2, which might provide new insight into immune-related miscarriage and IVF failure.
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Affiliation(s)
- Cong Hu
- Central Laboratory of the Eastern Division, The First Hospital of Jilin University, Changchun, China
- Center for Reproductive Medicine, Center for Prenatal Diagnosis, The First Hospital of Jilin University, Changchun, China
| | - Yu Zhen
- Department of Dermatology, The First Hospital of Jilin University, Changchun, China
| | - Bo Pang
- Department of Cardiology, The First Hospital of Jilin University, Changchun, China
| | - Xiuying Lin
- Center for Reproductive Medicine, Jilin Province People's Hospital, Changchun, China
| | - Huanfa Yi
- Central Laboratory of the Eastern Division, The First Hospital of Jilin University, Changchun, China
- *Correspondence: Huanfa Yi
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