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Zhang WB, Chen ZX, Liu Z, Qian XY, Ge YZ, Zhang HY, Xu WT, Shan LT, Zhao DB. PBMC-mediated modulation of macrophage polarization in RAW264.7 cells through STAT1/STAT6 signaling cascades. Int Immunopharmacol 2024; 138:112651. [PMID: 38986303 DOI: 10.1016/j.intimp.2024.112651] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 05/29/2024] [Revised: 06/30/2024] [Accepted: 07/05/2024] [Indexed: 07/12/2024]
Abstract
Peripheral blood mononuclear cells (PBMC), sourced autologously, offer numerous advantages when procured: easier acquisition process, no in vitro amplification needed, decreased intervention and overall increased acceptability make PBMC an attractive candidate for cell therapy treatment. However, the exact mechanism by which PBMC treat diseases remains poorly understood. Immune imbalance is the pathological basis of many diseases, with macrophages playing a crucial role in this process. However, research on the role and mechanisms of PBMC in regulating macrophages remains scarce. This study employed an in vitro co-culture model of PBMC and RAW264.7 macrophages to explore the role and mechanisms of PBMC in regulating macrophages. The results showed that the co-culturing led to decreased expression of inflammatory cytokines and increased expression of anti-inflammatory cytokines in RAW264.7 or in the culture supernatant. Additionally, the pro-inflammatory, tissue matrix-degrading M1 macrophages decreased, while the anti-inflammatory, matrix-synthesizing, regenerative M2 macrophages increased in both RAW264.7 and monocytes within PBMC. Moreover, co-cultured macrophages exhibited a significantly decreased p-STAT1/STAT1 ratio, while the p-STAT6/STAT6 ratio significantly increased. This suggests that PBMC may inhibit M1 macrophage polarization by blocking STAT1 signaling cascades and may promote M2 macrophage polarization through the activation of STAT6 signaling cascades. Overall, this study sheds light on the role and mechanism of PBMC in regulating macrophages. Moreover, it was found that monocytes within co-cultured PBMC differentiated into M2 macrophages in the presence of macrophages. This finding provides experimental evidence for the use of PBMC in treating inflammatory diseases, especially macrophage-depleting inflammatory diseases such as osteoarthritis.
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Affiliation(s)
- Wen-Bo Zhang
- Department of Rheumatology and Immunology, Changhai Hospital, Naval Medical University, Shanghai 200433, China
| | - Zu-Xiang Chen
- The First Affiliated Hospital, Zhejiang Chinese Medical University, Hangzhou 310053, Zhejiang, China
| | - Zhen Liu
- Department of Anatomy, Naval Medical University, Shanghai 200433, China
| | - Xin-Yu Qian
- Department of Rheumatology and Immunology, Changhai Hospital, Naval Medical University, Shanghai 200433, China
| | - Yan-Zhi Ge
- The First Affiliated Hospital, Zhejiang Chinese Medical University, Hangzhou 310053, Zhejiang, China
| | - Hai-Yan Zhang
- The First Affiliated Hospital, Zhejiang Chinese Medical University, Hangzhou 310053, Zhejiang, China
| | - Wen-Ting Xu
- The First Affiliated Hospital, Zhejiang Chinese Medical University, Hangzhou 310053, Zhejiang, China
| | - Le-Tian Shan
- The First Affiliated Hospital, Zhejiang Chinese Medical University, Hangzhou 310053, Zhejiang, China.
| | - Dong-Bao Zhao
- Department of Rheumatology and Immunology, Changhai Hospital, Naval Medical University, Shanghai 200433, China.
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Lavalleye T, Saussoy P, Lambert C. Method comparison between hematopoietic progenitor cell and CD34+ cell counts in hematopoietic stem cell collection. Transfusion 2024. [PMID: 38966912 DOI: 10.1111/trf.17937] [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: 04/09/2024] [Revised: 06/13/2024] [Accepted: 06/16/2024] [Indexed: 07/06/2024]
Abstract
BACKGROUND The reference method for hematopoietic stem cell enumeration is flow cytometric CD34+ cell analysis. We evaluated using the hematopoietic progenitor cell (HPC) count on the Sysmex hematology analyzer to safely replace some flow cytometric measurements performed in peripheral blood samples to guide apheresis timing. STUDY DESIGN AND METHODS We compared HPC and CD34+ cell counts in 133 preharvest peripheral blood samples and 124 apheresis products. RESULTS Pre-apheresis HPC counts ≥24 × 106/L in healthy donors and ≥36 × 106/L in lymphoma patients predicted adequate mobilization with 100% specificity and positive predictive value, saving 79% and 63% of flow cytometry analyses, respectively. Due to a positive bias (mean bias 50.26; 95% CI 36.24-64.29), a higher threshold was needed in multiple myeloma patients (HPC≥ $$ \ge $$ 132 × 106/L), saving only 24% of flow cytometry analyses. CONCLUSION When the HPC count is above the corresponding threshold, apheresis could be safely initiated without waiting for the flow cytometry result, thereby reducing time-to-decision. Lower HPC values, however, require confirmation by flow cytometry.
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Affiliation(s)
- Thibault Lavalleye
- Department of Laboratory Medicine, Cliniques Universitaires Saint-Luc, UCLouvain, Brussels, Belgium
| | - Pascale Saussoy
- Hematology Department of Laboratory Medicine, Cliniques Universitaires Saint-Luc, UCLouvain, Brussels, Belgium
| | - Catherine Lambert
- Hemostasis and Thrombosis Unit, Division of Hematology, Cliniques Universitaires Saint-Luc, UCLouvain, Brussels, Belgium
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Huang L, Liu L, Song Z, Li Q, He D, Guo G, Zhu G, Jiang E, Xia Y. Hematopoietic progenitor cell count as a potential quantitative marker in apheresis products during allogeneic stem cell transplantation. Transfusion 2024; 64:348-356. [PMID: 38158888 DOI: 10.1111/trf.17699] [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: 03/10/2023] [Revised: 11/07/2023] [Accepted: 12/02/2023] [Indexed: 01/03/2024]
Abstract
BACKGROUND The quality and quantity of hematopoietic stem cells in apheresis products are essential to the success of peripheral blood hematopoietic stem cell transplantation (PB-HSCT). While the flow cytometry measurement of CD34+ cells as a golden standard for stem cell count is labor and cost-intensive, hematopoietic progenitor cell number evaluated by XN Sysmex series automated hematology analyzers (XN-HPC) is suggested as a surrogate marker. MATERIALS AND METHODS We evaluated the correlation and consistency of XN-HPC and CD34+ cell count in apheresis samples from both allogeneic donors and autologous patients during PB-HSCT. RESULTS Good correlation and consistency were observed between XN-HPC and CD34+ cell counts in harvests collected from healthy donors (R = .852) rather than autologous patients (R = .375). Subgroup analysis showed that the correlation was especially poor when autologous patients used plerixafor as an additional mobilizer or were diagnosed with multiple myeloma (MM). In the setting of allogeneic transplantation, the correlation coefficients were even better in samples from non-first-round apheresis (R = .951), with high white blood cell (WBC) counts (R = .941), or having successful engraftment within 2 weeks (R = .895). ROC analysis suggested that an optimal XN-HPC count of 1127 × 106 /L best predicted a sufficient yield of CD34+ stem cells, with diagnostic sensitivity and specificity being 92% and 72%, respectively (AUC = 0.852). CONCLUSIONS XN-HPC is a sufficient quantitative marker for stem cell assessment of harvest yield in allogeneic but not autologous HSCT.
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Affiliation(s)
- Lunhui Huang
- State Key Laboratory of Experimental Hematology, National Clinical Research Center for Blood Diseases, Haihe Laboratory of Cell Ecosystem, Institute of Hematology & Blood Diseases Hospital, Chinese Academy of Medical Sciences & Peking Union Medical College, Tianjin, China
- Tianjin Institutes of Health Science, Tianjin, China
| | - Liangyi Liu
- State Key Laboratory of Experimental Hematology, National Clinical Research Center for Blood Diseases, Haihe Laboratory of Cell Ecosystem, Institute of Hematology & Blood Diseases Hospital, Chinese Academy of Medical Sciences & Peking Union Medical College, Tianjin, China
- Tianjin Institutes of Health Science, Tianjin, China
| | - Zhen Song
- State Key Laboratory of Experimental Hematology, National Clinical Research Center for Blood Diseases, Haihe Laboratory of Cell Ecosystem, Institute of Hematology & Blood Diseases Hospital, Chinese Academy of Medical Sciences & Peking Union Medical College, Tianjin, China
- Tianjin Institutes of Health Science, Tianjin, China
| | - Qiang Li
- State Key Laboratory of Experimental Hematology, National Clinical Research Center for Blood Diseases, Haihe Laboratory of Cell Ecosystem, Institute of Hematology & Blood Diseases Hospital, Chinese Academy of Medical Sciences & Peking Union Medical College, Tianjin, China
- Tianjin Institutes of Health Science, Tianjin, China
| | - DaShui He
- State Key Laboratory of Experimental Hematology, National Clinical Research Center for Blood Diseases, Haihe Laboratory of Cell Ecosystem, Institute of Hematology & Blood Diseases Hospital, Chinese Academy of Medical Sciences & Peking Union Medical College, Tianjin, China
- Tianjin Institutes of Health Science, Tianjin, China
| | - GuiQing Guo
- State Key Laboratory of Experimental Hematology, National Clinical Research Center for Blood Diseases, Haihe Laboratory of Cell Ecosystem, Institute of Hematology & Blood Diseases Hospital, Chinese Academy of Medical Sciences & Peking Union Medical College, Tianjin, China
- Tianjin Institutes of Health Science, Tianjin, China
| | - Guoqing Zhu
- State Key Laboratory of Experimental Hematology, National Clinical Research Center for Blood Diseases, Haihe Laboratory of Cell Ecosystem, Institute of Hematology & Blood Diseases Hospital, Chinese Academy of Medical Sciences & Peking Union Medical College, Tianjin, China
- Tianjin Institutes of Health Science, Tianjin, China
| | - Erlie Jiang
- State Key Laboratory of Experimental Hematology, National Clinical Research Center for Blood Diseases, Haihe Laboratory of Cell Ecosystem, Institute of Hematology & Blood Diseases Hospital, Chinese Academy of Medical Sciences & Peking Union Medical College, Tianjin, China
- Tianjin Institutes of Health Science, Tianjin, China
| | - Yonghui Xia
- State Key Laboratory of Experimental Hematology, National Clinical Research Center for Blood Diseases, Haihe Laboratory of Cell Ecosystem, Institute of Hematology & Blood Diseases Hospital, Chinese Academy of Medical Sciences & Peking Union Medical College, Tianjin, China
- Tianjin Institutes of Health Science, Tianjin, China
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