| Literature DB >> 31666086 |
Chimobi Emukah1, Evan Dittmar1, Rija Naqvi1, John Martinez1, Alexis Corral1, Axel Moreira2, Alvaro Moreira3.
Abstract
BACKGROUND: Inflammation plays an important role in the pathogenesis of many lung diseases. Preclinical studies suggest that mesenchymal stromal cell (MSC) conditioned media (CdM) can attenuate inflammation. Our aim was threefold: (1) summarize the existing animal literature evaluating CdM as a therapeutic agent for pediatric/adult lung disease, (2) quantify the effects of CdM on inflammation, and (3) compare inflammatory effects of CdM to MSCs.Entities:
Mesh:
Substances:
Year: 2019 PMID: 31666086 PMCID: PMC6822429 DOI: 10.1186/s12931-019-1212-x
Source DB: PubMed Journal: Respir Res ISSN: 1465-9921
Fig. 1Flow diagram demonstrating study selection process
Summary of study characteristics. Detailed summary of information extracted from included studies
| Author (year) | Study Design | Animal Characteristics | Intervention Characteristics | Primary Outcome | Secondary Outcomes | |||
|---|---|---|---|---|---|---|---|---|
| Disease | Disease | Animal | Age | Source; | Dose; | Inflammation | Lung | |
| Model | Induction | Model; Gender | (Origin) | Delivery; Timing; Frequency | Architecture/Function | |||
| Ionescu (2012) | ARDS | IT injection of 4 mg/kg LPS ( | C57/BL6 mice; Male | Adult | Bone Marrow | 30 μl; IT; 4 h post-LPS exposure; once | Cytokines | Lung sections |
| Lu (2015) | ARDS | Oropharyngeal aspiration 2 mg/kg LPS (E. Coli 0127:B8) | C57/BL6 mice; Male | Not Reported | Adipose Tissue | 200 μl; IV tail vein; 4 h post-LPS exposure; once | TNF-alpha; IL-6; MIP-2; IL-10; VEGF | Alveolar wall sections |
| Wakaya-ma (2015) | ARDS | 6 U/kg Bleomycin | C57/BL6J mice; Female | Adult | Human Exfoliated Deciduous Teeth | 500 μl; IV jugular vein; 24 h post-bleomycin exposure; once | Cell surface markers; Cytokines | Fibrotic lung sections |
| Ahmadi (2016) | Asthma | IP administered OVA on days 1 and 8; day 14, exposure to 4% OVA nebulizer for 5 min for 18+/−1 days | Wistar rats; Male | Adult | Bone Marrow | 50 μl; IV left femoral vein; 1 day post sensitization; once | CD3+; CD4+; CD8+ | |
| Ahmadi (2017) | Asthma | IP administered OVA on days 1 and 8; day 14, 5 min exposure to 4% OVA nebulizer for 18+/−1 days | Wistar rats; Male | Adult | Bone Marrow | 50 μl; IT; 1 day post sensitization; once | IL-4; IL-10 | Emphysema;Atelectasis; Hyperemia; Epithelialization; Leukocyte Infiltration |
| Cruz (2015) | Asthma | 5 μg Aspergillus fumigatus days 0 and 7 for sensitization; same inoculation on days 14 and 16 for challenge | C57/BL6 mice; Male | Adult | Bone Marrow | 200 μl; IV tail vein; day 14 after aspergillus challenge; once | Neutrophils; Eosinophils; Macrophages; Lymphocytes; Cytokines | Lung sections; Airway resistance; Tissue resistance; lung elasticity |
| Aslam (2009) | BPD | Exposure to 75% O2 within 24 h of birth | FVB mice; male/female | Neonate | Bone Marrow | 50 μl; IV superficial temporal vein; postnatal day 4; once | Macrophage; Neutrophils, Cytokines | Pulmonary arteriole; Lung alveoli; Medial wall thickness |
| Sutsko (2012) | BPD | 2 weeks 90% O2 exposure | Sprague-Dawley rats; male/female | Neonate | Bone Marrow | 50 μl; IT; postnatal day 9; once | IL-6/18 s; IL-1B/18 s; TTF-1/18 s; VEGF; angiopoietin-1 | Alveolarization; lung vascular density |
| Lee (2012) | PH | 8.5 ± 0.5% O2 exposure for 48 h | FVB mice; gender not reported | Adult | Bone Marrow | 50 μl; IV left jugularvein; before 48 h hypoxia induction; once | MCP-1; FIZZ-1/HIMF | |
| Rathinas-abapathy (2016) | PH | 50 mg/kg Monocrotaline | Sprague-Dawley rats; Male | Adult | Adipose Tissue | 100 μl; IV jugular vein;14 days post-MCT exposure; once | Cell surface markers; Cytokines | Pulmonary vesselwall thickness; RV fibrosis |
SYRCLE Risk of Bias Assessment for included studies
| Author (Year) | Random sequence generation? | Groups similar at baseline? | Allocation concealed? | Animals randomly housed? | Blinding of caregivers and/or examiners? | Random selection for outcome assessment? | Blinding of outcome assessor? | Incomplete outcome data addressed? | Free from selective outcome reporting? | Free from other bias? |
|---|---|---|---|---|---|---|---|---|---|---|
| Ahmadi (2017) | Yes | Yes | Unclear | Unclear | Unclear | Yes | Unclear | Yes | Yes | Yes |
| Ahmadi (2016) | Yes | Yes | Unclear | Unclear | Unclear | Unclear | Unclear | Yes | Yes | Yes |
| Aslam (2009) | Unclear | No | Unclear | Unclear | Unclear | Unclear | Unclear | Yes | Yes | Yes |
| Cruz (2015) | Unclear | Yes | Unclear | Unclear | Unclear | Unclear | Unclear | Yes | No | Yes |
| Ionescu (2012) | Unclear | Yes | Unclear | Unclear | Unclear | Unclear | Unclear | Yes | Yes | Yes |
| Lee (2012) | Unclear | Unclear | Unclear | Unclear | Unclear | Unclear | Unclear | Yes | Yes | Yes |
| Lu (2015) | Unclear | Yes | Unclear | Unclear | Unclear | Unclear | Unclear | Yes | Yes | Yes |
| Rathinasabapathy (2016) | Unclear | Yes | Yes | Unclear | Yes | Yes | Yes | Yes | Yes | Yes |
| Sutsko (2012) | Unclear | No | Unclear | Unclear | Unclear | Yes | Yes | Yes | Yes | Yes |
| Wakayama (2015) | Unclear | Yes | Unclear | Unclear | Unclear | Yes | Unclear | Yes | Yes | Yes |
Fig. 2Effect size of CdM on immune cells stratified by disease process. Forest plots demonstrating SMD and 95% CI
Stratification of estimated CdM effect size on immune cells
| # Studies | # Comparisons | SMD (95% CI) | % Weight | I^2 | p* | p** | |
|---|---|---|---|---|---|---|---|
| Disease | |||||||
| Asthma | 3 | 41 | 0.79 (0.59, 0.10) | 63.93 | 72.80 | 0.00 | 0.59 |
| BPD | 1 | 4 | 3.74 (3.13, 4.36) | 7.07 | 85.50 | 0.00 | |
| ARDS | 2 | 14 | 0.72 (0.41, 1.04) | 26.78 | 77.00 | 0.00 | |
| PH | 1 | 2 | 2.42 (1.32, 3.52) | 2.21 | 0.00 | 0.97 | |
| Animal model/species | |||||||
| Mouse | 5 | 40 | 1.61 (1.40, 1.82) | 60.98 | 79.60 | 0.00 | 0.00 |
| Rat | 2 | 21 | 0.10 (-0.17, 0.36) | 39.02 | 54.90 | 0.00 | |
| Strain | |||||||
| C57/BL6 | 4 | 36 | 1.33 (1.11, 1.56) | 53.91 | 70.30 | 0.00 | 0.00 |
| FVB | 1 | 4 | 3.74 (3.13, 4.36) | 7.07 | 85.50 | 0.00 | |
| Wistar | 2 | 21 | 0.10 (-0.17, 0.36) | 39.02 | 54.90 | 0.00 | |
| Gender | |||||||
| Male | 5 | 55 | 0.77 (0.60, 0.95) | 90.71 | 73.50 | 0.00 | 0.01 |
| Mixed | 1 | 4 | 3.74 (3.13, 4.36) | 7.07 | 85.50 | 0.00 | |
| Not reported | 1 | 2 | 2.42 (1.32, 3.52) | 2.21 | 0.00 | 0.97 | |
| Age | |||||||
| Neonatal | 1 | 4 | 3.74 (3.13, 4.36) | 7.07 | 85.50 | 0.00 | 0.00 |
| Adult | 5 | 53 | 0.80 (0.70, 1.06) | 84.90 | 74.50 | 0.00 | |
| Not reported | 1 | 4 | 0.12 (-0.46, 0.70) | 8.03 | 0.00 | 0.45 | |
| Intervention characteristics | |||||||
|
| 0.18 | ||||||
| Ovalbumin | 2 | 21 | 0.10 (-0.17, 0.36) | 39.02 | 54.90 | 0.00 | |
| Aspergillus exposure | 1 | 19 | 1.89 (1.56, 2.21) | 24.91 | 41.60 | 0.03 | |
|
| |||||||
| LPS | 2 | 14 | 0.73 (.41, 1.04) | 26.78 | 77.00 | 0.00 | |
|
| |||||||
| 75% hyperoxia | 1 | 4 | 3.74 (3.13, 4.36) | 7.07 | 85.50 | 0.00 | |
|
| |||||||
| Hypoxia | 1 | 2 | 2.42 (1.32, 3.52) | 2.21 | 0.00 | 0.97 | |
| Source | |||||||
| Bone marrow | 6 | 57 | 1.10 (0.93, 1.27) | 91.97 | 81.40 | 0.00 | |
| Adipose tissue | 1 | 4 | 0.12 (-0.46, 0.70) | 8.03 | 0.00 | 0.45 | 0.14 |
| Origin | |||||||
| Allogenic | 7 | 61 | 1.02 (0.86, 1.18) | 100.00 | 80.90 | 0.00 | 0.00 |
| Dose | |||||||
| 200ul | 2 | 24 | 1.46 (1.17, 1.74) | 32.95 | 63.20 | 0.00 | 0.00 |
| 50ul | 4 | 27 | 0.74 (0.50, 0.97) | 48.30 | 86.30 | 0.00 | |
| 30ul | 1 | 10 | 0.99 (1.17, 1.74) | 18.75 | 81.20 | 0.00 | |
| Delivery | |||||||
| Intravenous | 5 | 43 | 1.19 (1.00, 1.39) | 68.50 | 80.20 | 0.00 | 0.08 |
| Intratracheal | 2 | 18 | 0.64 (0.35, 0.93) | 31.50 | 81.70 | 0.00 | |
| Timing of treatment | |||||||
| <72hr | 5 | 37 | 0.42 (0.22, 0.62) | 68.01 | 70.80 | 0.00 | 0.00 |
| >72hr | 2 | 24 | 2.30 (2.01, 2.59) | 31.99 | 71.40 | 0.00 |
*p refers to p value within subgroups
**p refers to p value between subgroups
Fig. 3Effect size of CdM on inflammatory cytokines stratified by disease process. Forest plots demonstrating SMD and 95% CI
Stratification of estimated CdM effect size on inflammatory cytokines
| Disease | |||||||
|---|---|---|---|---|---|---|---|
| Asthma | 2 | 50 | 0.72 (0.51, 0.93) | 34.70 | 86.40 | 0 | 0.29 |
| BPD | 2 | 21 | 0.29 (−0.05, 0.63) | 13.00 | 75.90 | 0 | |
| ARDS | 2 | 38 | 0.39 (0.17, 0.61) | 31.19 | 82.10 | 0 | |
| PH | 1 | 36 | 1.44 (1.18, 1.71) | 21.11 | 65.80 | 0 | |
| Animal model/species | |||||||
| Mouse | 4 | 104 | 1.22 (0.97, 1.47) | 23.75 | 82.40 | 0 | 0.13 |
| Rat | 3 | 41 | 0.56 (0.42, 0.70) | 76.25 | 79.10 | 0 | |
| Strain | |||||||
| C57/BL6 | 3 | 86 | 0.58 (0.43, 0.73) | 64.29 | 84.80 | 0 | 0.29 |
| FVB | 2 | 18 | 0.43 (0.07, 0.78) | 11.97 | 36.00 | 0.07 | |
| Sprague-Dawley | 1 | 39 | 1.32 (1.06, 1.58) | 22.14 | 77.70 | 0 | |
| Wistar | 1 | 2 | (−)0.14 (−1.10, 0.83) | 1.60 | 92.00 | 0 | |
| Gender | |||||||
| Male | 4 | 90 | 1.02 (0.86, 1.18) | 58.53 | 81.90 | 0 | 0.03 |
| Mixed | 2 | 21 | 0.29 (−0.05, 0.63) | 13.00 | 75.90 | 0 | |
| Female | 1 | 34 | 0.28 (0.05, 0.51) | 28.47 | 82.50 | 0 | |
| Age | |||||||
| Neonatal | 1 | 21 | 0.29 (−0.05, 0.63) | 13.00 | 75.90 | 0 | 0.13 |
| Adult | 6 | 120 | 0.75 (0.62, 0.89) | 84.27 | 92.00 | 0 | |
| NR | 1 | 4 | 1.56 (0.82, 2.31) | 2.73 | 64.20 | 0.04 | |
| Intervention characteristics | |||||||
|
| 0.26 | ||||||
| Ovalbumin | 1 | 2 | (−)0.14 (−1.10, 0.83) | 1.60 | 92.00 | 0 | |
| Aspergillus exposure | 1 | 48 | 0.76 (0.55, 0.98) | 33.09 | 86.40 | 0 | |
|
| |||||||
| LPS | 1 | 4 | 1.56 (0.82, 2.31) | 2.73 | 64.20 | 0.04 | |
| Bleomycin | 1 | 34 | 0.28 (0.05, 0.51) | 28.47 | 82.50 | 0 | |
| | |||||||
| 75% hyperoxia | 1 | 18 | 0.43 (0.07, 0.78) | 11.97 | 36.00 | 0.07 | |
| 90% hyperoxia | 1 | 3 | (−)1.31(−2.51, −0.10) | 1.03 | 95.70 | 0 | |
|
| |||||||
| Moncrotaline/bleomycin | 1 | 36 | 1.44 (1.18, 1.71) | 21.11 | 65.80 | 0 | |
| Source | |||||||
| Bone marrow | 4 | 71 | 0.60 (0.43, 0.78) | 47.70 | 84.40 | 0 | 0.42 |
| Adipose tissue | 2 | 40 | 1.46 (1.21, 1.71) | 23.83 | 64.80 | 0 | |
| Decidious teeth | 1 | 34 | 0.28 (0.05, 0.51) | 28.47 | 82.50 | 0 | |
| Origin | |||||||
| Allogenic | 6 | 111 | 0.89 (0.74, 1.03) | 71.53 | 81.30 | 0 | 0.11 |
| Xenogenic | 1 | 34 | 0.28 (0.05, 0.51) | 28.47 | 82.50 | 0 | |
| Dose | |||||||
| 500ul | 2 | 34 | 0.28 (0.05, 0.51) | 28.47 | 82.50 | 0 | 0.63 |
| 200ul | 1 | 52 | 0.82 (0.62, 1.03) | 35.82 | 85.80 | 0 | |
| 100ul | 1 | 36 | 1.44 (1.18, 1.71) | 21.11 | 65.80 | 0 | |
| 50ul | 3 | 23 | 0.24 (−0.08, 0.56) | 14.61 | 77.20 | 0 | |
| Delivery | |||||||
| Intravenous | 6 | 143 | 0.73 (0.60, 0.85) | 98.40 | 81.80 | 0 | 0.45 |
| Intratracheal | 1 | 2 | (−)0.14 (−1.10, 0.83) | 1.60 | 92.00 | 0 | |
| Timing | |||||||
| <72 h | 3 | 43 | 0.31 (0.10, 0.52) | 33.83 | 84.90 | 0 | 0.08 |
| >72 h | 4 | 102 | 0.92 (0.77, 1.07) | 66.17 | 79.80 | 0 |
Fig. 4Effect size of MSCs on immune cells stratified by disease process. Forest plots demonstrating SMD and 95% CI
Fig. 5Effect size of MSCs on immune cells stratified by disease process. Forest plots demonstrating SMD and 95% CI
Fig. 6Funnel plots demonstrating publication bias from included studies. Funnel plots for (a) immune cells, and (b) inflammatory cytokines