1
|
Liu J, Zhou Y, Dong Y, Wang W, Li Y, Pei J. Circulating immune cells and apolipoprotein A mediation: a Mendelian randomization study on hypertensive disorder of pregnancy. Front Immunol 2024; 15:1438680. [PMID: 39355245 PMCID: PMC11442235 DOI: 10.3389/fimmu.2024.1438680] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 05/26/2024] [Accepted: 09/02/2024] [Indexed: 10/03/2024] Open
Abstract
Background Studies using observational epidemiology have indicated that inflammation and immunological dysregulation are important contributors to placental and renal failure, which ultimately results in maternal hypertension. The potential causal relationships between the immunophenotypes and hypertensive disorder of pregnancy (HDP) are yet unclear. Methods We conducted two-sample Mendelian randomization (MR) analyses to thoroughly examine the relationship between immunophenotypes and HDP. The GWAS data on immunological traits was taken from public catalog for 731 immunophenotypes and the summarized GWAS data in 4 types of HDP were retrieved from FinnGen database. The link between immune cell traits and HDP was examined through our study methodology, taking into account both direct relationships and mediation effects of apolipoprotein A (apoA). The inverse variance weighted (IVW) method served as the main analysis, while sensitivity analysis was carried out as a supplement. Results We identified 14 highly correlative immunophenotypes and 104 suggestive possible factors after investigating genetically predicted immunophenotype biomarkers. According to the IVW analysis, there was a strong correlation between HDP and HLA DR on DC and plasmacytoid DC. Reverse MR analysis showed that there was no statistically significant effect of HDP on immune cells in our investigation. Mediation analysis confirmed that apoA mediates the interaction between HLA DR on DC and HDP. Conclusion Our results highlight the complex interplay of immunophenotypes, apoA, and HDP. Moreover, the pathophysiological link between HLA DR on DC and HDP was mediated by the level of apoA.
Collapse
Affiliation(s)
- Jingting Liu
- Maternal and Child Health Care Research Center, Gansu Provincial Maternity and Child Care Hospital, Lanzhou, China
| | - Yawei Zhou
- Maternal and Child Health Care Research Center, Gansu Provincial Maternity and Child Care Hospital, Lanzhou, China
| | - Yijun Dong
- The Second Hospital & Clinical Medical School, Lanzhou University, Lanzhou, China
| | - Wendi Wang
- Maternal and Child Health Care Research Center, Gansu Provincial Maternity and Child Care Hospital, Lanzhou, China
| | - Yan Li
- Department of Biochemistry and Molecular Biology, Medical College of Northwest Minzu University, Lanzhou, China
| | - Jianying Pei
- Maternal and Child Health Care Research Center, Gansu Provincial Maternity and Child Care Hospital, Lanzhou, China
| |
Collapse
|
2
|
Rocca G, Galli M, Celant A, Stucchi G, Marongiu L, Cozzi S, Innocenti M, Granucci F. Multiplexed imaging to reveal tissue dendritic cell spatial localisation and function. FEBS Lett 2024. [PMID: 38969618 DOI: 10.1002/1873-3468.14962] [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: 04/22/2024] [Revised: 05/20/2024] [Accepted: 05/28/2024] [Indexed: 07/07/2024]
Abstract
Dendritic cells (DCs) play a pivotal role in immune surveillance, acting as sentinels that coordinate immune responses within tissues. Although differences in the identity and functional states of DC subpopulations have been identified through multiparametric flow cytometry and single-cell RNA sequencing, these methods do not provide information about the spatial context in which the cells are located. This knowledge is crucial for understanding tissue organisation and cellular cross-talk. Recent developments in multiplex imaging techniques can now offer insights into this complex spatial and functional landscape. This review provides a concise overview of these imaging methodologies, emphasising their application in identifying DCs to delineate their tissue-specific functions and aiding newcomers in navigating this field.
Collapse
Affiliation(s)
- Giuseppe Rocca
- Department of Biotechnology and Biosciences, University of Milano Bicocca, Milan, Italy
| | - Marco Galli
- Department of Biotechnology and Biosciences, University of Milano Bicocca, Milan, Italy
| | - Anna Celant
- Department of Biotechnology and Biosciences, University of Milano Bicocca, Milan, Italy
| | - Giulia Stucchi
- Department of Biotechnology and Biosciences, University of Milano Bicocca, Milan, Italy
| | - Laura Marongiu
- Department of Biotechnology and Biosciences, University of Milano Bicocca, Milan, Italy
| | - Stefano Cozzi
- Department of Biotechnology and Biosciences, University of Milano Bicocca, Milan, Italy
| | - Metello Innocenti
- Department of Biotechnology and Biosciences, University of Milano Bicocca, Milan, Italy
| | - Francesca Granucci
- Department of Biotechnology and Biosciences, University of Milano Bicocca, Milan, Italy
| |
Collapse
|
3
|
Sulczewski FB, Maqueda-Alfaro RA, Alcántara-Hernández M, Perez OA, Saravanan S, Yun TJ, Seong D, Arroyo Hornero R, Raquer-McKay HM, Esteva E, Lanzar ZR, Leylek RA, Adams NM, Das A, Rahman AH, Gottfried-Blackmore A, Reizis B, Idoyaga J. Transitional dendritic cells are distinct from conventional DC2 precursors and mediate proinflammatory antiviral responses. Nat Immunol 2023; 24:1265-1280. [PMID: 37414907 PMCID: PMC10683792 DOI: 10.1038/s41590-023-01545-7] [Citation(s) in RCA: 18] [Impact Index Per Article: 18.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 06/10/2022] [Accepted: 05/26/2023] [Indexed: 07/08/2023]
Abstract
High-dimensional approaches have revealed heterogeneity amongst dendritic cells (DCs), including a population of transitional DCs (tDCs) in mice and humans. However, the origin and relationship of tDCs to other DC subsets has been unclear. Here we show that tDCs are distinct from other well-characterized DCs and conventional DC precursors (pre-cDCs). We demonstrate that tDCs originate from bone marrow progenitors shared with plasmacytoid DCs (pDCs). In the periphery, tDCs contribute to the pool of ESAM+ type 2 DCs (DC2s), and these DC2s have pDC-related developmental features. Different from pre-cDCs, tDCs have less turnover, capture antigen, respond to stimuli and activate antigen-specific naïve T cells, all characteristics of differentiated DCs. Different from pDCs, viral sensing by tDCs results in IL-1β secretion and fatal immune pathology in a murine coronavirus model. Our findings suggest that tDCs are a distinct pDC-related subset with a DC2 differentiation potential and unique proinflammatory function during viral infections.
Collapse
Affiliation(s)
- Fernando Bandeira Sulczewski
- Department of Microbiology and Immunology, Stanford University School of Medicine, Stanford, CA, USA
- Immunology Program, Stanford University School of Medicine, Stanford, CA, USA
| | - Raul A Maqueda-Alfaro
- Department of Microbiology and Immunology, Stanford University School of Medicine, Stanford, CA, USA
- Immunology Program, Stanford University School of Medicine, Stanford, CA, USA
| | - Marcela Alcántara-Hernández
- Department of Microbiology and Immunology, Stanford University School of Medicine, Stanford, CA, USA
- Immunology Program, Stanford University School of Medicine, Stanford, CA, USA
| | - Oriana A Perez
- Department of Pathology, New York University Grossman School of Medicine, New York, NY, USA
| | - Sanjana Saravanan
- Department of Microbiology and Immunology, Stanford University School of Medicine, Stanford, CA, USA
- Immunology Program, Stanford University School of Medicine, Stanford, CA, USA
| | - Tae Jin Yun
- Department of Pathology, New York University Grossman School of Medicine, New York, NY, USA
| | - David Seong
- Department of Microbiology and Immunology, Stanford University School of Medicine, Stanford, CA, USA
- Immunology Program, Stanford University School of Medicine, Stanford, CA, USA
- Medical Scientist Training Program, Stanford University School of Medicine, Stanford, CA, USA
| | - Rebeca Arroyo Hornero
- Department of Microbiology and Immunology, Stanford University School of Medicine, Stanford, CA, USA
- Immunology Program, Stanford University School of Medicine, Stanford, CA, USA
| | - Hayley M Raquer-McKay
- Department of Microbiology and Immunology, Stanford University School of Medicine, Stanford, CA, USA
- Immunology Program, Stanford University School of Medicine, Stanford, CA, USA
| | - Eduardo Esteva
- Department of Pathology, New York University Grossman School of Medicine, New York, NY, USA
| | - Zachary R Lanzar
- Department of Microbiology and Immunology, Stanford University School of Medicine, Stanford, CA, USA
- Immunology Program, Stanford University School of Medicine, Stanford, CA, USA
| | - Rebecca A Leylek
- Department of Microbiology and Immunology, Stanford University School of Medicine, Stanford, CA, USA
- Immunology Program, Stanford University School of Medicine, Stanford, CA, USA
| | - Nicholas M Adams
- Department of Pathology, New York University Grossman School of Medicine, New York, NY, USA
| | - Annesa Das
- Department of Pathology, New York University Grossman School of Medicine, New York, NY, USA
| | - Adeeb H Rahman
- Marc and Jennifer Lipschultz Precision Immunology Institute, Icahn School of Medicine at Mount Sinai, New York, NY, USA
- Department of Genetics and Genomic Sciences, Icahn School of Medicine at Mount Sinai, New York, NY, USA
- The Tisch Cancer Institute, Icahn School of Medicine at Mount Sinai, New York, NY, USA
- Human Immune Monitoring Center, Icahn School of Medicine at Mount Sinai, New York, NY, USA
| | - Andres Gottfried-Blackmore
- Department of Microbiology and Immunology, Stanford University School of Medicine, Stanford, CA, USA
- Immunology Program, Stanford University School of Medicine, Stanford, CA, USA
- Division of Gastroenterology and Hepatology, Department of Medicine, Stanford University School of Medicine, Redwood City, CA, USA
| | - Boris Reizis
- Department of Pathology, New York University Grossman School of Medicine, New York, NY, USA.
| | - Juliana Idoyaga
- Department of Microbiology and Immunology, Stanford University School of Medicine, Stanford, CA, USA.
- Immunology Program, Stanford University School of Medicine, Stanford, CA, USA.
| |
Collapse
|
4
|
Liu Z, Yang Y, Zhao X, Wang T, He L, Nan X, Vidović D, Bai P. A universal mass tag based on polystyrene nanoparticles for single-cell multiplexing with mass cytometry. J Colloid Interface Sci 2023; 639:434-443. [PMID: 36822043 DOI: 10.1016/j.jcis.2023.02.092] [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: 01/25/2023] [Revised: 02/16/2023] [Accepted: 02/17/2023] [Indexed: 02/21/2023]
Abstract
Mass cytometry (MC) is an emerging bioanalytical technique for high-dimensional biomarkers interrogation simultaneously on individual cells. However, the sensitivity and multiplexed analysis ability of MC was highly restricted by the current metal chelating polymer (MCP) mass tags. Herein, a new design strategy for MC mass tags by using a commercial available and low cost classical material, polystyrene nanoparticle (PS-NP) to carry metals was reported. Unlike inorganic materials, sub-micron-grade metal-loaded polystyrene can be easily detected by MC, thus it is not essential to pursue extremely small particle size in this mass tag design strategy. An altered cell staining buffer can significantly lower the nonspecific binding (NSB) of non-functionalized PS-NPs, revealing another method to lower NSB beside surface modification. The metal doped PS-NP_Abs mass tags showed high compatibility with MCP mass tags and 5-fold higher sensitivity. By using Hf doped PS-NP_Abs as mass tags, four new MC detection channels (177Hf, 178Hf, 179Hf and 180Hf) were developed. In general, this work provides a new strategy in designing MC mass tags and lowering NSB, opening up possibility of introducing more potential MC mass tag candidates.
Collapse
Affiliation(s)
- Zhizhou Liu
- CAS Key Lab of Bio-Medical Diagnostics, Suzhou Institute of Biomedical Engineering and Technology, Chinese Academy of Sciences, Suzhou, Jiangsu 215163, China; Jinan Guoke Medical Technology Development Co., Ltd, Shandong 250013, People's Republic of China.
| | - Yu Yang
- School of Precision Instrument and Opto-Electronics Engineering, Tianjin University, Tianjin, China
| | - Xiang Zhao
- CAS Key Lab of Bio-Medical Diagnostics, Suzhou Institute of Biomedical Engineering and Technology, Chinese Academy of Sciences, Suzhou, Jiangsu 215163, China; College of Mechanics and Materials, Hohai University, 8 Focheng West Road, Nanjing, 210098, China
| | - Tong Wang
- CAS Key Lab of Bio-Medical Diagnostics, Suzhou Institute of Biomedical Engineering and Technology, Chinese Academy of Sciences, Suzhou, Jiangsu 215163, China
| | - Liang He
- CAS Key Lab of Bio-Medical Diagnostics, Suzhou Institute of Biomedical Engineering and Technology, Chinese Academy of Sciences, Suzhou, Jiangsu 215163, China; Jinan Guoke Medical Technology Development Co., Ltd, Shandong 250013, People's Republic of China
| | - Xueyan Nan
- CAS Key Lab of Bio-Medical Diagnostics, Suzhou Institute of Biomedical Engineering and Technology, Chinese Academy of Sciences, Suzhou, Jiangsu 215163, China
| | - Dragoslav Vidović
- School of Chemistry, Faculty of Sciences, Monash University, 3800 Clayton, Australia
| | - Pengli Bai
- CAS Key Lab of Bio-Medical Diagnostics, Suzhou Institute of Biomedical Engineering and Technology, Chinese Academy of Sciences, Suzhou, Jiangsu 215163, China.
| |
Collapse
|
5
|
Bai J, Zhao X, Zhang M, Xia X, Yang A, Chen H. Gut microbiota: A target for prebiotics and probiotics in the intervention and therapy of food allergy. Crit Rev Food Sci Nutr 2022; 64:3623-3637. [PMID: 36218372 DOI: 10.1080/10408398.2022.2133079] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/03/2022]
Abstract
Food allergy has become a major public health problem all over the world. Evidence showed that allergic reactions induced by food proteins often lead to disturbances in the gut microbiota (symbiotic bacteria). Gut microbiota plays an important role in maintaining the balance between intestinal immune tolerance and allergic reactions. Dietary intervention has gradually become an important method for the prevention and treatment of allergic diseases, and changing the composition of gut microbiota through oral intake of prebiotics and probiotics may serve as a new effective adjuvant treatment measure for allergic diseases. In this paper, the main mechanism of food allergy based on intestinal immunity was described firstly. Then, the clinical and experimental evidence showed that different prebiotics and probiotics affect food allergy by changing the structure and composition of gut microbiota was summarized. Moreover, the molecular mechanism in which the gut microbiota and their metabolites may directly or indirectly regulate the immune system or intestinal epithelial barrier function to affect food immune tolerance of host were also reviewed to help in the development of food allergy prevention and treatment strategies based on prebiotics and probiotics.
Collapse
Affiliation(s)
- Jing Bai
- State Key Laboratory of Food Science and Technology, Nanchang University, Nanchang, China
- Sino-German Joint Research Institute, Nanchang University, Nanchang, China
| | - Xiaoli Zhao
- Division of Pharmacology, Utrecht Institute for Pharmaceutical Sciences (UIPS), Utrecht University, Utrecht, The Netherlands
| | - Maolin Zhang
- State Key Laboratory of Food Science and Technology, Nanchang University, Nanchang, China
- Sino-German Joint Research Institute, Nanchang University, Nanchang, China
| | - Xinlei Xia
- State Key Laboratory of Food Science and Technology, Nanchang University, Nanchang, China
- Sino-German Joint Research Institute, Nanchang University, Nanchang, China
| | - Anshu Yang
- State Key Laboratory of Food Science and Technology, Nanchang University, Nanchang, China
- Sino-German Joint Research Institute, Nanchang University, Nanchang, China
| | - Hongbing Chen
- State Key Laboratory of Food Science and Technology, Nanchang University, Nanchang, China
- Sino-German Joint Research Institute, Nanchang University, Nanchang, China
| |
Collapse
|