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Luo C, Wang L, Wu G, Huang X, Zhang Y, Ma Y, Xie M, Sun Y, Huang Y, Huang Z, Song Q, Li H, Hou Y, Li X, Xu S, Chen J. Comparison of the efficacy of hematopoietic stem cell mobilization regimens: a systematic review and network meta-analysis of preclinical studies. Stem Cell Res Ther 2021; 12:310. [PMID: 34051862 PMCID: PMC8164253 DOI: 10.1186/s13287-021-02379-6] [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: 01/14/2021] [Accepted: 05/10/2021] [Indexed: 02/06/2023] Open
Abstract
BACKGROUND Mobilization failure may occur when the conventional hematopoietic stem cells (HSCs) mobilization agent granulocyte colony-stimulating factor (G-CSF) is used alone, new regimens were developed to improve mobilization efficacy. Multiple studies have been performed to investigate the efficacy of these regimens via animal models, but the results are inconsistent. We aim to compare the efficacy of different HSC mobilization regimens and identify new promising regimens with a network meta-analysis of preclinical studies. METHODS We searched Medline and Embase databases for the eligible animal studies that compared the efficacy of different HSC mobilization regimens. Primary outcome is the number of total colony-forming cells (CFCs) in per milliliter of peripheral blood (/ml PB), and the secondary outcome is the number of Lin- Sca1+ Kit+ (LSK) cells/ml PB. Bayesian network meta-analyses were performed following the guidelines of the National Institute for Health and Care Excellence Decision Support Unit (NICE DSU) with WinBUGS version 1.4.3. G-CSF-based regimens were classified into the SD (standard dose, 200-250 μg/kg/day) group and the LD (low dose, 100-150 μg/kg/day) group based on doses, and were classified into the short-term (2-3 days) group and the long-term (4-5 days) group based on administration duration. Long-term SD G-CSF was chosen as the reference treatment. Results are presented as the mean differences (MD) with the associated 95% credibility interval (95% CrI) for each regimen. RESULTS We included 95 eligible studies and reviewed the efficacy of 94 mobilization agents. Then 21 studies using the poor mobilizer mice model (C57BL/6 mice) to investigate the efficacy of different mobilization regimens were included for network meta-analysis. Network meta-analyses indicated that compared with long-term SD G-CSF alone, 14 regimens including long-term SD G-CSF + Me6, long-term SD G-CSF + AMD3100 + EP80031, long-term SD G-CSF + AMD3100 + FG-4497, long-term SD G-CSF + ML141, long-term SD G-CSF + desipramine, AMD3100 + meloxicam, long-term SD G-CSF + reboxetine, AMD3100 + VPC01091, long-term SD G-CSF + FG-4497, Me6, long-term SD G-CSF + EP80031, POL5551, long-term SD G-CSF + AMD3100, AMD1300 + EP80031 and long-term LD G-CSF + meloxicam significantly increased the collections of total CFCs. G-CSF + Me6 ranked first among these regimens in consideration of the number of harvested CFCs/ml PB (MD 2168.0, 95% CrI 2062.0-2272.0). In addition, 7 regimens including long-term SD G-CSF + AMD3100, AMD3100 + EP80031, long-term SD G-CSF + EP80031, short-term SD G-CSF + AMD3100 + IL-33, long-term SD G-CSF + ML141, short-term LD G-CSF + ARL67156, and long-term LD G-CSF + meloxicam significantly increased the collections of LSK cells compared with G-CSF alone. Long-term SD G-CSF + AMD3100 ranked first among these regimens in consideration of the number of harvested LSK cells/ml PB (MD 2577.0, 95% CrI 2422.0-2733.0). CONCLUSIONS Considering the number of CFC and LSK cells in PB as outcomes, G-CSF plus AMD3100, Me6, EP80031, ML141, FG-4497, IL-33, ARL67156, meloxicam, desipramine, and reboxetine are all promising mobilizing regimens for future investigation.
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Affiliation(s)
- Chengxin Luo
- Center for Hematology, Southwest Hospital, Third Military Medical University, #30 Gaotanyan Street, Shapingba District, Chongqing, 400038, China.,Key Laboratory of Cancer Immunotherapy of Chongqing, Chongqing, China
| | - Li Wang
- Department of Hematology, The First Affiliated Hospital of Chongqing Medical University, Chongqing, China
| | - Guixian Wu
- Center for Hematology, Southwest Hospital, Third Military Medical University, #30 Gaotanyan Street, Shapingba District, Chongqing, 400038, China.,Key Laboratory of Cancer Immunotherapy of Chongqing, Chongqing, China
| | - Xiangtao Huang
- Center for Hematology, Southwest Hospital, Third Military Medical University, #30 Gaotanyan Street, Shapingba District, Chongqing, 400038, China.,Key Laboratory of Cancer Immunotherapy of Chongqing, Chongqing, China
| | - Yali Zhang
- Center for Hematology, Southwest Hospital, Third Military Medical University, #30 Gaotanyan Street, Shapingba District, Chongqing, 400038, China.,Key Laboratory of Cancer Immunotherapy of Chongqing, Chongqing, China
| | - Yanni Ma
- Center for Hematology, Southwest Hospital, Third Military Medical University, #30 Gaotanyan Street, Shapingba District, Chongqing, 400038, China.,Key Laboratory of Cancer Immunotherapy of Chongqing, Chongqing, China
| | - Mingling Xie
- Center for Hematology, Southwest Hospital, Third Military Medical University, #30 Gaotanyan Street, Shapingba District, Chongqing, 400038, China.,Key Laboratory of Cancer Immunotherapy of Chongqing, Chongqing, China
| | - Yanni Sun
- Center for Hematology, Southwest Hospital, Third Military Medical University, #30 Gaotanyan Street, Shapingba District, Chongqing, 400038, China.,Key Laboratory of Cancer Immunotherapy of Chongqing, Chongqing, China
| | - Yarui Huang
- Center for Hematology, Southwest Hospital, Third Military Medical University, #30 Gaotanyan Street, Shapingba District, Chongqing, 400038, China.,Key Laboratory of Cancer Immunotherapy of Chongqing, Chongqing, China
| | - Zhen Huang
- Center for Hematology, Southwest Hospital, Third Military Medical University, #30 Gaotanyan Street, Shapingba District, Chongqing, 400038, China.,Key Laboratory of Cancer Immunotherapy of Chongqing, Chongqing, China
| | - Qiuyue Song
- Department of Health Statistics, Third Military Medical University, Chongqing, China
| | - Hui Li
- Center for Hematology, Southwest Hospital, Third Military Medical University, #30 Gaotanyan Street, Shapingba District, Chongqing, 400038, China.,Key Laboratory of Cancer Immunotherapy of Chongqing, Chongqing, China
| | - Yu Hou
- Center for Hematology, Southwest Hospital, Third Military Medical University, #30 Gaotanyan Street, Shapingba District, Chongqing, 400038, China.,Key Laboratory of Cancer Immunotherapy of Chongqing, Chongqing, China
| | - Xi Li
- Institute of Infectious Disease, Southwest Hospital, Third Military Medical University, #30 Gaotanyan Street, Shapingba District, Chongqing, 400038, China.
| | - Shuangnian Xu
- Center for Hematology, Southwest Hospital, Third Military Medical University, #30 Gaotanyan Street, Shapingba District, Chongqing, 400038, China. .,Key Laboratory of Cancer Immunotherapy of Chongqing, Chongqing, China.
| | - Jieping Chen
- Center for Hematology, Southwest Hospital, Third Military Medical University, #30 Gaotanyan Street, Shapingba District, Chongqing, 400038, China. .,Key Laboratory of Cancer Immunotherapy of Chongqing, Chongqing, China.
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Niemiro GM, Parel J, Beals J, van Vliet S, Paluska SA, Moore DR, Burd NA, De Lisio M. Kinetics of circulating progenitor cell mobilization during submaximal exercise. J Appl Physiol (1985) 2017; 122:675-682. [DOI: 10.1152/japplphysiol.00936.2016] [Citation(s) in RCA: 23] [Impact Index Per Article: 3.3] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 10/21/2016] [Revised: 12/23/2016] [Accepted: 01/08/2017] [Indexed: 12/28/2022] Open
Abstract
Circulating progenitor cells (CPCs) are a heterogeneous population of stem/progenitor cells in peripheral blood that includes hematopoietic stem and progenitor cells (HSPCs and HSCs), endothelial progenitor cells (EPCs), and mesenchymal stem cells (MSCs) that are involved in tissue repair and adaptation. CPC mobilization during exercise remains uncharacterized in young adults. The purpose of this study was to investigate the kinetics of CPC mobilization during and after submaximal treadmill running and their relationship to mobilization factors. Seven men [age = 25.3 ± 2.4 yr, body mass index = 23.5 ± 1.0 kg/m2, peak O2uptake (V̇o2peak) = 60.9 ± 2.74 ml·kg−1·min−1] ran on a treadmill for 60 min at 70% V̇o2peak. Blood sampling occurred before (Pre), during [20 min (20e), 40 min (40e), 60 min (60e)], and after exercise [15 min (15p), 60 min (60p), 120 min (120p)] for quantification of CPCs (CD34+), HSPCs (CD34+/CD45low), HSCs (CD34+/CD45low/CD38−), CD34+MSCs (CD45−/CD34+/CD31−/CD105+), CD34−MSCs (CD45−/CD34−/CD31−/CD105+), and EPCs (CD45−/CD34+/CD31+) via flow cytometry. CPC concentration increased compared with Pre at 20e and 40e (2.7- and 2.4-fold, respectively, P < 0.05). HSPCs and HSCs increased at 20e compared with 60p (2.7- and 2.8-fold, respectively, P < 0.05), whereas EPCs and both MSC populations did not change. CXC chemokine ligand (CXCL) 12 (1.5-fold; P < 0.05) and stem cell factor (1.3-fold; P < 0.05) were increased at 40e and remained elevated postexercise. The peak increase in CPCs was positively correlated to concentration of endothelial cells during exercise with no relationship to CXCL12 and SCF. Our data show the kinetics of progenitor cell mobilization during exercise that could provide insight into cellular mediators of exercise-induced adaptations, and have implication for the use of exercise as an adjuvant therapy for CPC collection in hematopoietic stem cell transplant.NEW & NOTEWORTHY Using a comprehensive evaluation of circulating progenitor cells (CPCs), we show that CPC mobilization during exercise is related to tissue damage, and not plasma concentrations of CXC chemokine ligand 12 and stem cell factor. These data have implications for the use of exercise interventions as adjuvant therapy for CPC mobilization in the context of hematopoietic stem cell transplant and also support the role of mobilized progenitor cells as cellular mediators of systemic adaptations to exercise.
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Affiliation(s)
- Grace M. Niemiro
- Department of Kinesiology and Community Health, University of Illinois at Urbana-Champaign, Champaign, Illinois
| | - Justin Parel
- Department of Kinesiology and Community Health, University of Illinois at Urbana-Champaign, Champaign, Illinois
| | - Joseph Beals
- Department of Kinesiology and Community Health, University of Illinois at Urbana-Champaign, Champaign, Illinois
| | - Stephan van Vliet
- Department of Kinesiology and Community Health, University of Illinois at Urbana-Champaign, Champaign, Illinois
| | - Scott A. Paluska
- Department of Family Medicine, University of Illinois at Urbana-Champaign, Champaign, Illinois
| | - Daniel R. Moore
- Faculty of Kinesiology and Physical Education, University of Toronto, Toronto, Ontario, Canada; and
| | - Nicholas A. Burd
- Department of Kinesiology and Community Health, University of Illinois at Urbana-Champaign, Champaign, Illinois
| | - Michael De Lisio
- Department of Kinesiology and Community Health, University of Illinois at Urbana-Champaign, Champaign, Illinois
- School of Human Kinetics, Brain and Mind Institute, Centre for Neuromuscular Disease, University of Ottawa, Ottawa, Ontario, Canada
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