Published online Sep 26, 2026. doi: 10.4252/wjsc.124515
Revised: July 18, 2026
Accepted: September 23, 2026
Published online: September 26, 2026
Processing time: 99 Days and 15.1 Hours
This study is to evaluate the efficacy of mesenchymal stem cells (MSCs) in the treatment of acute respiratory distress syndrome-acute lung injury (ALI), so as to provide evidence-based reference for the clinical use of stem cells in the treatment of acute lung injury associated with pancreatitis in the future.
To systematically evaluate the efficacy of MSC transplantation in the treatment of severe acute pancreatitis (SAP)-ALI.
Databases, including China National Knowledge Infrastructure, Wanfang Data, SinoMed, PubMed, and Web of Science, were electronically searched for animal experiments on MSC transplantation for SAP-ALI from inception of the databases to August 1, 2024. Two researchers independently retrieved the literature, ex
A total of 13 randomized controlled animal experiments were included, involving 248 rats, with 124 rats in the MSC group and 124 in the model control group. Meta-analysis indicated that MSC transplantation reduced the histopathological scores of pancreatic tissues and lung tissues [standardized mean difference (SMD) = -3.12, 95% confidence interval (CI): -3.99 to -2.25] in SAP rats. Additionally, MSC transplantation decreased lung wet-to-dry weight ratio (weighted mean difference = -0.50, 95%CI: -0.64 to -0.36), myeloperoxidase activity (SMD = -3.29, 95%CI: -4.40 to -2.19), and tumor necrosis factor-α (TNF-α) level (SMD = -3.57, 95%CI: -5.49 to -1.64) and its mRNA expression (SMD = -3.74, 95%CI: -5.27 to -2.20) as well as serum TNF-α levels (SMD = -3.51, 95%CI: -4.51 to -2.51). Compared with the control group, the MSC group had significantly lower serum amylase levels (SMD = -3.63, 95%CI: -4.54 to -2.72).
MSC transplantation can reduce the pulmonary inflammatory response and alleviate SAP-ALI in SAP rats. How
Core Tip: Mesenchymal stem cell transplantation can effectively reduce the pulmonary inflammatory response and alleviate the pathological damage of lung tissue in rats with severe acute pancreatitis (SAP), thus playing a significant protective role in SAP-related lung injury. However, due to the limited number of included studies and heterogeneity among studies, the robustness of the existing conclusions is insufficient. Therefore, multi-center, large-sample, rigorously designed randomized controlled trials combined with standardized stem cell preparation and administration regimen are needed to further systematically evaluate its efficacy, safety and long-term prognosis, so as to provide a higher level of evidence for clinical appli
- Citation: Jing GX, Wang ZP, Sun HY, Zhang Y, Gu GQ. Mesenchymal stem cell transplantation for severe acute pancreatitis-associated lung injury: A meta-analysis of animal studies. World J Stem Cells 2026; 18(9): 124515
- URL: https://www.wjgnet.com/1948-0210/full/v18/i9/124515.htm
- DOI: https://dx.doi.org/10.4252/wjsc.124515
Severe acute pancreatitis (SAP) is a common acute abdominal inflammatory disease with sudden onset and rapid progression. It is a systemic inflammatory response syndrome characterized by massive inflammatory cell infiltration, lobular necrosis, and hemorrhage[1]. As the most common complication of SAP, SAP-associated acute lung injury (SAP-ALI) is a severe systemic complication characterized clinically by progressive hypoxemia and respiratory distress, which can progress to acute respiratory distress syndrome in severe cases and is also one of the main causes of early death in SAP patients[2]. As the result of a significant systemic inflammatory response, SAP-ALI is accompanied by increased permeability of endothelial and epithelial barriers, which leads to the leakage of protein-rich exudates into the alveolar spaces and interstitial tissue, thereby impairing oxygenation and gas exchange[3,4]. Although the mechanisms underlying acute lung injury (ALI) are increasingly understood, current treatments for SAP-ALI are mainly limited to symptomatic and supportive therapies such as thoracentesis, control of pulmonary infection, improvement of respiratory function, and oxygen inhalation. There is still a lack of direct recommendations and effective methods for treating this disease.
In recent years, mesenchymal stem cells (MSCs) have gradually become a research hotspot for the treatment of ALI due to their advantages such as self-renewal, multidifferentiation, easy availability, and low immunogenicity[5,6]. Current evidence indicates that MSCs alleviate SAP-associated inflammatory lung tissue injury through mechanisms such as inhibiting iron deposition and lipid peroxidation in lung tissue, improving oxidative stress and inflammatory response levels in acute pancreatitis rats, and inducing the M2 polarization of lung macrophages[7-9]. Thus, MSC transplantation has gradually become one of the main potential therapeutic strategies for SAP and SAP-ALI.
In this study, we conducted a meta-analysis to evaluate the efficacy of MSCs in the treatment of SAP-ALI. We inte
English language databases (PubMed, Cochrane Library, Web of Science, and EMBASE) and Chinese databases [China National Knowledge Infrastructure (CNKI), CBM, VIP, and Wanfang Data] were searched for literature related to the application of stem cell therapy for SAP-ALI from inception of the databases to August 1, 2024. The Chinese search terms included “stem cells”, “mesenchymal stem cells”, “severe acute pancreatitis”, and “acute lung injury”, whereas the English search terms included “Mesenchymal Stem Cells”, “Stem Cells”, “severe acute pancreatitis”, “acute pancreatitis”, “lung injury”, and “acute lung injury”. The detailed search strategies for PubMed and CNKI are shown in Table 1.
| ID: Query | |
| Search strategy for PubMed | #1 “Pancreatitis”[Mesh] |
| #2 ((((((((Edematous Pancreatitis, Acute) OR (Acute Edematous Pancreatitis)) OR (Edematous Pancreatitis, Acute)) OR (Pancreatic Parenchymal Edema)) OR (Acute Pancreatitis)) OR (Peripancreatic Fat Necrosis)) OR (Parenchymal Edema, Pancreatic)) OR (Necrosis, Peripancreatic Fat)) OR (Pancreatitis, Acute) | |
| #3 “Pancreatitis, Acute Necrotizing”[Mesh] | |
| #4 ((((((Necrotizing Pancreatitis, Acute) OR (Pancreatitis Necrotising)) OR (Acute Necrotizing Pancreatitis)) OR (Pancreatic Necrosis)) OR (Hemorrhagic Necrotic Pancreatitis)) OR (Necrotic Pancreatitis, Hemorrhagic)) OR (Pancreatitis, Hemorrhagic Necrotic) | |
| #5 #1 OR #2 OR #3 OR #4 | |
| #6 “Stem Cells”[Mesh] | |
| #7 ((((((((((((((Cell, Stem) OR (Cells, Stem)) OR (Stem Cell)) OR (Progenitor Cells)) OR (Cell, Progenitor)) OR (Cells, Progenitor)) OR (Progenitor Cell)) OR (Mother Cells)) OR (Cell, Mother)) OR (Cells, Mother)) OR (Mother Cell)) OR (Colony-Forming Unit)) OR (Colony Forming Unit)) OR (Colony-Forming Units)) OR (Colony Forming Units) | |
| #8 “Mesenchymal Stem Cells”[Mesh] | |
| #9 (((((((((((Stem Cell, Mesenchymal) OR (Bone Marrow Mesenchymal Stem Cells)) OR (Bone Marrow Stromal Cells)) OR (Multipotent Bone Marrow Stromal Cell)) OR (Adipose-Derived Mesenchymal Stem Cells)) OR (Mesenchymal Stem Cells, Adipose-Derived)) OR (Adipose Tissue Derived Mesenchymal Stem Cells)) OR (Adipose Tissue Derived Mesenchymal Stem Cells)) OR (Mesenchymal stem Cells)) OR (Multipotent Mesenchymal stem Cells)) OR (Progenitor Cell, Mesenchymal)) OR (Wharton Jelly Cells) | |
| #10 #6 OR #7 OR #8 OR #9 | |
| #11 “Lung Injury”[Mesh] | |
| #12 ((Injuries, Lung) OR (Injuries, Pulmonary)) OR (Pulmonary Injuries) | |
| #13 “Acute Lung Injury”[Mesh] | |
| #14 ((Acute Lung Injuries) OR (Lung Injuries, Acute)) OR (Lung Injury, Acute) | |
| #15 #11 OR #12 OR #13 OR #14 | |
| #16 #5 AND #10 AND #15 | |
| Search strategy for CNKI | #1 “acute pancreatitis”[MeSH Terms] |
| #2 “severe acute pancreatitis”[MeSH Terms] | |
| #3 #1 OR #1 | |
| #4 “stem cells”[MeSH Terms] | |
| #5 “mesenchymal stem cells”[MeSH Terms] | |
| #6 #4 OR #5 | |
| #7 “lung injury”[MeSH Terms] | |
| #8 “acute lung injury”[MeSH Terms] | |
| #9 #7 OR #8 | |
| #10 #3 AND #6 AND #9 |
Study type: Randomized controlled animal studies.
Inclusion criteria: (1) Rat studies; (2) Successful establishment of SAP-ALI models; and (3) The intervention groups recei
Exclusion criteria: (1) Review articles, meta-analyses, editorials, dissertations, and academic conference abstracts; (2) Duplicate publications; (3) Articles for which the full text could not be obtained; and (4) Unavailable data.
Two researchers independently performed literature screening and data extraction, and cross-checked the results. In case of discrepancies, a third researcher was consulted and a decision was made through discussion. During literature screening, duplicates were removed. Preliminary screening was then conducted by reading titles and abstracts to exclude obviously irrelevant articles. Finally, full texts were read for secondary screening to determine whether the studies could be included.
The main data extracted included first author’s name, publication year, country, experimental subjects, SAP-ALI mode
The risk of bias in the included studies was assessed using the 10 items of the SYRCLE’s Risk of Bias tool for animal experiments[10], and the results were categorized as “yes”, “no”, and “unclear”, representing low, high, and unclear risk of bias, respectively.
The primary outcome measures were the histopathological scores of pancreatic and lung tissues. The secondary outcome measures included lung wet-to-dry weight ratio, myeloperoxidase (MPO) activity, and tumor necrosis factor (TNF)-α level and its mRNA expression as well as serological markers [e.g., amylase, TNF-α, and interleukin (IL)-1β].
All analyses were conducted using the RevMan 5.4 software. For articles that reported data only in graphical form, two independent authors extracted the mean and SD values from the figures. For studies reporting results at multiple time points, the results were treated as different studies. Heterogeneity was tested using the Q-test and I2 test. For continuous variables, the effect size was expressed as mean difference with 95% confidence interval (CI). If the measurement tools or methods for the same indicator differed, the standardized mean difference (SMD) was used as the pooled effect size. If P ≥ 0.10 and I2 ≤ 50%, studies were regarded as having low heterogeneity, and a fixed-effects model was applied for the meta-analysis; I2 > 50% or P < 0.10 indicated high heterogeneity among studies, for which a random-effects model was used, and subgroup analysis was conducted to further explore the sources of heterogeneity. Sensitivity analysis was performed to assess the stability of the pooled results. Egger’s test was used to assess potential publication bias. All tests were two-sided, and a P value of < 0.05 was considered statistically significant.
A total of 343 relevant articles were identified in the initial search. After stepwise screening, 13 studies were finally included (Figure 1).
The general characteristics of the included studies are shown in Table 2, and the results of the risk of bias assessment are shown in Table 3.
| Ref. | Country | Animals | SAP modeling | Sample size (T/C) | Type of stem cells | Route of transplantation | Number of stem cells transplanted | Control protocol | Duration of transplantation | Follow-up duration | Outcome measures |
| Yu and Song[7], 2022 | China | SD rats (200 g) | Injection of 3% sodium taurocholate (1 mL/kg) into the biliopancreatic duct | 6/6 | BMSCs | Tail vein | 1 × 107/rat | PBS | 6 hours | 72 hours | a, b, e, h, k |
| Li et al[31], 2020 | China | SD rats (200-240 g) | Injection of 4% sodium taurocholate (1 mL/kg) into the biliopancreatic duct | 12/12 | PMSCs | Tail vein | 1 × 107/kg | PBS | 6 hours | 12 hours, 24 hours | a, b, c, d, e, g, h, j, k |
| Song et al[32], 2019 | China | SD rats (150-200 g) | Injection of 3% sodium taurocholate (1 mL/kg) into the biliopancreatic duct | 6/6 | BMSCs | Tail vein | 1 × 107/kg | PBS | 12 hours | 72 hours | a, b, d, f, i, k |
| Yu et al[33], 2017 | China | SD rats (180-220 g) | Injection of 1.5% sodium deoxycholate (1 mL/kg) into the biliopancreatic duct | 10/10 | BMSCs | Tail vein | 3 × 106/kg | Blank | 0 | 7 days | c |
| Chen et al[34], 2016 | China | SD rats (200-250 g) | Injection of 4% sodium taurocholate (1 mL/kg) into the biliopancreatic duct | 10/10 | BMSCs | Tail vein | NR | NS | 24 hours | 24 hours | a, b, e, g, j |
| Zhao et al[35], 2016 | China | SD rats (200-250 g) | Injection of 3% sodium taurocholate (1 mL/kg) into the biliopancreatic duct | 10/10 | BMSCs | Tail vein | (5-7) × 107/rat | PBS | 24 hours | 72 hours | a, g, j |
| Yang et al[36], 2013 | China | SD rats (250-280 g) | Injection of 5% sodium taurocholate (1 mL/kg) into the biliopancreatic duct | 12/12 | UCMSCs | Tail vein | 5 × 106/kg | NS | 0, 1 hour, 6 hours, 12 hours | 48 hours | a, b, e, k |
| Sheng et al[37], 2012 | China | SD rats (200-250 g) | Injection of 5% sodium taurocholate (1 mL/kg) into the biliopancreatic duct | 36/32 | BMSCs | Tail vein | 1 × 107/kg | NS | 1 hours | 3 hours, 6 hours, 12 hours, 24 hours | b, c, e, h, k |
| Wu et al[26], 2012 | China | SD rats (200-230 g) | Injection of 5% sodium taurocholate (1 mL/kg) into the biliopancreatic duct | 20/20 | BMSCs | Femoral vein | (0.5-1) × 104/kg | Medium | 1 hour | 6 hours, 12 hours | a, b, c, e, h, k |
| Wang et al[12], 2012 | China | SD rats (250-300 g) | Injection of 5% sodium taurocholate (1 mL/kg) into the biliopancreatic duct | 25/25 | BMSCs | Tail vein | 1 × 106/rat | Medium | 2 hours | 1 hour, 3 hours, 6 hours, 12 hours, 24 hours | c, d, g, k |
| Li et al[38], 2011 | China | SD rats (260-280 g) | Injection of 5% sodium taurocholate (1 mL/kg) into the biliopancreatic duct | 20/20 | BMSCs | Tail vein | 2 × 105/kg | NS | 0 | 12 hours | b, c, e, g |
| Li et al[39], 2011 | China | SD rats (180-200 g) | Injection of 5% sodium taurocholate (1 mL/kg) into the biliopancreatic duct | 30/30 | BMSCs | Tail vein | 1 × 107/kg | NS | 0 | 3 hours, 6 hours, 12 hours | b, c, f, k |
| Lu et al[40], 2011 | China | SD rats | Two intraperitoneal injections of L-arginine (2 g/kg) | 48/48 | BMSCs | Femoral vein | NR | Blank | 6 hours | 12 hours, 24 hours, 48 hours, 72 hours | d |
| Ref. | Generation of random sequences | Baseline characteristics | Allocation concealment | Randomized animal allocation | Blinding of animal caretakers and investigators | Assessment of random outcomes | Blinding of outcome assessors | Incomplete data reporting | Selective reporting of outcome | Other bias |
| Yu and Song[7], 2022 | Yes | Yes | Unclear | Unclear | No | Unclear | No | No | No | Unclear |
| Li et al[31], 2020 | Yes | Yes | Unclear | Unclear | No | Unclear | No | No | No | Unclear |
| Song et al[32], 2019 | Unclear | Yes | Unclear | Unclear | No | Unclear | No | No | No | Unclear |
| Yu et al[33], 2017 | Unclear | Yes | Unclear | Unclear | No | Unclear | No | No | No | Unclear |
| Chen et al[34], 2016 | Unclear | Yes | Unclear | Unclear | No | Unclear | No | No | No | Unclear |
| Zhao et al[35], 2016 | Unclear | Yes | Unclear | Unclear | No | Unclear | No | No | No | Unclear |
| Yang et al[36], 2013 | Unclear | Yes | Unclear | Unclear | No | Unclear | No | No | No | Unclear |
| Sheng et al[37], 2012 | Unclear | Yes | Unclear | Unclear | No | Unclear | No | No | No | Unclear |
| Wu et al[26], 2012 | Unclear | Yes | Unclear | Unclear | No | Unclear | No | No | No | Unclear |
| Wang et al[12], 2012 | Unclear | Yes | Unclear | Unclear | No | Unclear | No | No | No | Unclear |
| Li et al[38], 2011 | Unclear | Yes | Unclear | Unclear | No | Unclear | No | No | No | Unclear |
| Li et al[39], 2011 | Unclear | Yes | Unclear | Unclear | No | Unclear | No | No | No | Unclear |
| Lu et al[40], 2011 | Unclear | Yes | Unclear | Unclear | No | Unclear | No | No | No | Unclear |
Pancreatic histopathological scores: Among the included studies, seven articles reported a total of 12 outcomes regar
Lung histopathological scores: Among the included studies, nine reported a total of 19 outcomes regarding lung histopathological scores. The heterogeneity test indicated significant heterogeneity among these studies (I2 = 88.2%, P < 0.001); therefore, a random-effects model was employed. The results of the meta-analysis showed that compared with the control group, stem cell therapy reduced lung histopathological scores in SAP rats (SMD = -3.12, 95%CI: -3.99 to -2.25) (Figure 2B).
Lung wet-to-dry weight ratio: Among the included studies, seven reported a total of 18 outcomes regarding lung wet-to-dry weight ratio. The heterogeneity test indicated significant heterogeneity among these studies (I2 = 88.4%, P < 0.001); therefore, a random-effects model was employed. Meta-analysis showed that compared with the control group, stem cell therapy reduced the lung wet-to-dry weight ratio in SAP rats (weighted mean difference = -0.50, 95%CI: -0.64 to -0.36) (Figure 3A).
Lung MPO activity: Among the included studies, four reported a total of 12 outcomes regarding lung tissue MPO activity. The heterogeneity test indicated significant heterogeneity among these studies (I2 = 80.4%, P < 0.001); therefore, a random-effects model was employed. Meta-analysis showed that compared with the control group, stem cell therapy reduced lung MPO activity in SAP rats (SMD = -3.29, 95%CI: -4.40 to -2.19) (Figure 3B).
Serum TNF-α levels, lung TNF-α levels, and lung TNF-α mRNA expression: Among the included studies, 11 reported a total of 15 outcomes regarding serum TNF-α levels, four regarding lung TNF-α levels, and six regarding TNF-α mRNA expression in lung tissue. The heterogeneity test indicated significant heterogeneity among these studies, with I2 values of 86.8%, 82.8%, and 82.2%, respectively; therefore, a random-effects model was employed. Meta-analysis showed that compared with the control group, stem cell therapy reduced serum TNF-α levels (SMD = -3.51, 95%CI: -4.51 to -2.51), lung TNF-α levels (SMD = -3.57, 95%CI: -5.49 to -1.64), and lung TNF-α mRNA expression (SMD = -3.74, 95%CI: -5.27 to -2.20) in SAP rats (Figure 4).
Serum IL-1β levels, lung IL-1β levels, and lung IL-1β mRNA expression: Among the included studies, 11 reported a total of nine outcomes regarding serum IL-1β levels, one regarding lung IL-1β levels, and four regarding lung IL-1β mRNA expression. The heterogeneity test indicated significant heterogeneity among the studies for serum IL-1β levels and lung IL-1β mRNA expression, with I2 values of 87.0% and 70.5%, respectively; therefore, a random-effects model was employed. Meta-analysis showed that compared with the control group, stem cell therapy reduced serum IL-1β levels (SMD = -3.93, 95%CI: -5.48 to -2.39), lung IL-1β levels (SMD = -3.46, 95%CI: -5.35 to -1.56), and lung IL-1β mRNA expression (SMD = -3.91, 95%CI: -5.83 to -2.35) in SAP rats (Figure 5).
Serum amylase levels: Among the included studies, eight articles reported a total of 22 outcomes regarding serum amylase levels. The heterogeneity test indicated significant heterogeneity among these studies (I2 = 85.7%, P < 0.001); therefore, a random-effects model was employed. Meta-analysis showed that compared with the control group, stem cell therapy reduced serum amylase levels in SAP rats (SMD = -3.63, 95%CI: -4.54 to -2.72) (Figure 6).
For outcome indicators with significant heterogeneity, including lung histopathological score, MPO activity, and wet-to-dry weight ratio, subgroup analyses were performed based on stem cell type, transplantation route, duration of transplantation, and follow-up duration. However, the sources of heterogeneity were not identified. Subgroup analysis showed that compared with the control group, stem cell therapy reduced lung histopathological scores, lung MPO activity, and lung wet-to-dry weight ratios regardless of changes in stem cell type [bone marrow MSCs (BMSCs) or non-BMSCs], transplantation route (tail vein or femoral vein), transplantation duration (< 6 hours or ≥ 6 hours), and follow-up duration (< 12 hours or ≥ 12 hours), and the differences were all statistically significant (all P < 0.05) (Table 4).
| Subgroup | Number of studies included | Test for heterogeneity | Effect model | SMD/WMD (95%CI) | P value | |
| I2 (%) | P value | |||||
| Lung histopathology score | ||||||
| Stem cell type | ||||||
| BMSCs | 13 | 86 | < 0.001 | Random | -2.95 (-3.96 to -1.93) | < 0.001 |
| Non-BMSCs | 6 | 89 | < 0.001 | Random | -2.87 (-4.46 to -1.29) | < 0.001 |
| Transplantation route | ||||||
| Tail vein | 17 | 83 | < 0.001 | Random | -2.37 (-3.12 to -1.62) | < 0.001 |
| Femoral vein | 2 | 79 | 0.03 | Random | -8.09 (-12.90 to -3.28) | 0.001 |
| Transplantation duration | ||||||
| < 6 hours | 12 | 89 | < 0.001 | Random | -3.34 (-4.50 to -2.18) | < 0.001 |
| ≥ 6 hours | 7 | 79 | < 0.001 | Random | -2.15 (-3.29 to -1.00) | < 0.001 |
| Follow-up duration | ||||||
| < 24 hours | 10 | 88 | < 0.001 | Random | -3.21 (-4.46 to -1.95) | < 0.001 |
| ≥ 24 hours | 9 | 86 | < 0.001 | Random | -2.62 (-3.79 to -1.46) | < 0.001 |
| Lung MPO activity | ||||||
| Stem cell type | ||||||
| BMSCs | 10 | 79 | < 0.001 | Random | -3.03 (-4.22 to -1.85) | < 0.001 |
| Non-BMSCs | 2 | 39 | 0.2 | Random | -2.56 (-4.15 to -0.97) | 0.002 |
| Transplantation route | ||||||
| Tail vein | 8 | 78 | < 0.001 | Random | -4.39 (-6.35 to -2.43) | < 0.001 |
| Femoral vein | 4 | 69 | 0.02 | Random | -2.00 (-2.93 to -1.07) | < 0.001 |
| Transplantation duration | ||||||
| < 6 hours | 5 | 87 | < 0.001 | Random | -7.32 (-12.13 to -2.51) | 0.003 |
| ≥ 6 hours | 7 | 58 | 0.03 | Random | -2.24 (-2.98 to -1.50) | < 0.001 |
| Follow-up duration | ||||||
| < 24 hours | 6 | 81 | < 0.001 | Random | -3.07 (-4.91 to -1.22) | 0.001 |
| ≥ 24 hours | 6 | 79 | < 0.001 | Random | -4.47 (-6.82 to -2.12) | < 0.001 |
| Lung wet/dry weight ratio | ||||||
| Stem cell type | ||||||
| BMSCs | 16 | 89 | < 0.001 | Random | -0.46 (-0.61 to -0.32) | < 0.001 |
| Non-BMSCs | 2 | 0 | 0.33 | Random | -0.87 (-1.13 to -0.61) | < 0.001 |
| Transplantation route | ||||||
| Tail vein | 16 | 88 | < 0.001 | Random | -0.50 (-0.66 to -0.34) | < 0.001 |
| Femoral vein | 2 | 95 | < 0.001 | Random | -0.54 (-1.02 to -0.06) | 0.03 |
| Transplantation duration | ||||||
| < 6 hours | 16 | 89 | < 0.001 | Random | -0.46 (-0.61 to -0.32) | < 0.001 |
| ≥ 6 hours | 2 | 0 | 0.33 | Random | -0.87 (-1.13 to -0.61) | < 0.001 |
| Follow-up duration | ||||||
| < 24 hours | 14 | 84 | < 0.001 | Random | -0.46 (-0.59 to -0.33) | < 0.001 |
| ≥ 24 hours | 4 | 94 | < 0.001 | Random | -0.62 (-1.11 to -0.13) | 0.01 |
Sensitivity analysis was performed on the pooled results for lung histopathological score, MPO activity, and wet-to-dry weight ratio by sequentially excluding individual studies. Among these indicators, no single study exerted excessive influence (Figure 7).
Funnel plots were generated based on the lung histopathological score, lung MPO activity, and wet-to-dry weight ratio in SAP rats treated with stem cell therapy, and Egger’s test was used to assess publication bias. The funnel plots for lung histopathological score (Egger’s test: t = -8.95, P < 0.001) and lung MPO activity (Egger’s test: t = -6.71, P < 0.001) were asymmetrical, indicating possible publication bias. In contrast, the funnel plot for lung wet-to-dry weight ratio was basically symmetrically distributed, and Egger’s test (t = -1.67, P = 0.115) also indicated no obvious publication bias (Figure 8).
SAP-ALI is considered a complex and challenging clinical disease. Currently, the treatment for ALI mainly focuses on symptomatic and supportive therapies, such as thoracentesis and drainage, controlling pulmonary infection, correcting hypoalbuminemia, and oxygen inhalation, while effective therapeutic regimens are still lacking. In ALI models, the pathophysiological processes of the lung mainly include oxidative stress injury, inflammatory cytokine infiltration, and alveolar cell apoptosis[11]. However, the underlying mechanisms of SAP and how it leads to ALI are not fully under
The present meta-analysis indicates that MSCs can alleviate ALI by downregulating MPO, TNF-α, and IL-1β, as well as reducing the lung wet/dry weight ratio. These results are consistent with the findings of Wang et al[12]. Being classic inflammatory cytokines, both IL-1β and TNF-α have been widely demonstrated to play extremely important roles in the different pathways of SAP-ALI. Various inflammatory mediators contribute to the aggregation of macrophages and neutrophils, subsequently triggering a cascade of pathological changes in the pulmonary microcirculation, leading to the occurrence and aggravation of SAP-associated lung injury[13,14]. The histopathological score of rats was selected as the primary outcome of observation as the score is objective and can more objectively show the degree of lung tissue injury in rats. In addition, the lung function and survival rate of rats can be affected by many factors. Xu et al[15] found that emodin might reduce neutrophil infiltration and improve SAP-ALI in rats by inhibiting NLRP3/IL-1β/CXCL1 signaling activated by cold-inducible RNA-binding protein. TNF-α is released by macrophages and monocytes in activated fixed tissues and plays an important role in the early occurrence and development of SAP-ALI[16]. It first binds to TNF receptor 1 (TNF-R1) and interacts with adaptor proteins such as TNF-R1-associated death domain protein and receptor-interacting protein; subsequently, it triggers an intracellular cascade reaction and ultimately activates nuclear factor kappa B (NF-κB)[17,18]. Activation of NF-κB can enhance transcription of the TNF-α gene, thereby forming a vicious cycle that amplifies early inflammatory signals and exacerbates the initial inflammatory effects[19].
The past few decades have witnessed increasing attention towards the biomedical applications of MSCs with the development of cell therapy. Although the mechanism of MSCs in the treatment of ALI is not yet fully elucidated, studies have demonstrated that MSCs can inhibit ALI through various pathways. MSCs can be easily isolated from tissues such as bone marrow, adipose tissue, and placenta, and can differentiate into various cell lineages according to the require
Although this study systematically evaluated the role of MSCs in the treatment of SAP-ALI, several limitations exist. First, only Chinese and English databases were searched; as a result, relevant studies in other languages might have been missed, potentially leading to selection bias. Second, some included studies did not describe the randomization method, allocation concealment, or blinding implementation, which might result in selection and performance bias. Third, a certain degree of publication bias was observed for some outcome measures, which might affect the credibility of our conclusions. Finally, none of the included studies reported rejection after stem cell transplantation, and future research should pay more attention to the safety of stem cell therapy.
Taken together, the available evidence suggests that MSCs play an important role in the treatment of SAP and its complications. However, further well-designed preclinical and clinical studies are needed to confirm their efficacy. Due to the limitations in the number and quality of the included studies, high-quality studies are warranted to further validate our conclusions. In addition, differences in stem cell source, cell dose, route of transplantation, timing of treatment, and follow-up time may affect the observed therapeutic effect, and a large number of validated experiments are required to confirm these factors.
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