Harnessing stem cell therapeutics in LPS-induced animal models: mechanisms, efficacies, and future directions DOI Creative Commons

Chengran Wang,

Fanghong Ge,

Fenfen Ge

et al.

Stem Cell Research & Therapy, Journal Year: 2025, Volume and Issue: 16(1)

Published: April 12, 2025

The severity and threat posed by inflammation are well documented, lipopolysaccharides (LPS), as important inducers of inflammatory responses, widely recognized for studying host immunity the resulting tissue organ damage. LPS-induced disease model, triggers a remarkable release factors, immune coagulation dysfunction, damage to vital organs such brain, lungs, heart, liver, kidneys. Recently, role mesenchymal stem cells (MSCs) in various clinical diseases has garnered significant attention due their immunomodulatory, anti-inflammatory, healing, anti-apoptotic, antibacterial properties. Despite common use LPS models induce simulate acute inflammation, integration cell therapy within these remains underexplored. This article integrates induced animal model reviews current evidence regarding therapeutic mechanisms across human body systems. Furthermore, this review predicts hypothesizes feasibility potential using that have not yet been extensively studied, based on existing models.

Language: Английский

Mesenchymal stem cells therapy for the treatment of non-union fractures: a systematic review and meta-analysis DOI Creative Commons

Cunbao Cui,

Feng Lin,

Liang Xia

et al.

BMC Musculoskeletal Disorders, Journal Year: 2025, Volume and Issue: 26(1)

Published: March 12, 2025

Abstract Background This meta-analysis aimed to pool the existing evidence determine clinical efficacy and safety of mesenchymal stem cells (MSC) in patients with non-unions. Methods A systematic search PubMed Scopus was performed until October 2024 gather pertinent studies. The inclusion criteria included participants non-unions, intervention MSC administration, a comparator standard treatment (bone graft), outcomes focused on healing rate, time, or side effects. Jadad score Newcastle-Ottawa Scale (NOS) used assess risk bias randomized non-randomized studies, respectively. Moreover, GRADE were quality evidence. Using random effects model, odds ratios (OR) 95% confidence intervals (CIs) calculated for complication rates, while standardized mean differences (SMD) their CIs impact therapy bone union time. Results Twenty-one 866 patients, included. rates 44% at 3 months, 73% 6 90% 9 86% 12 eventually reaching 91% after months follow-up. therapy, without scaffolds, linked higher rate compared grafts as care (OR = 1.69). time following 6.30 (95%CI: 86-96%), treated MSC/Scaffold experiencing shorter alone (5.85 vs. 6.36 months). significantly decreased (SMD:-0.54 CI: -0.75 -0.33). 1% (MSC/Scaffold: 0%, alone: 2%), showing lower than 0.41, 0.22–0.78). Conclusion is potential adjunct non-union fractures. Clinical trial number Not applicable.

Language: Английский

Citations

0
Harnessing stem cell therapeutics in LPS-induced animal models: mechanisms, efficacies, and future directions DOI Creative Commons

Chengran Wang,

Fanghong Ge,

Fenfen Ge

et al.

Stem Cell Research & Therapy, Journal Year: 2025, Volume and Issue: 16(1)

Published: April 12, 2025

The severity and threat posed by inflammation are well documented, lipopolysaccharides (LPS), as important inducers of inflammatory responses, widely recognized for studying host immunity the resulting tissue organ damage. LPS-induced disease model, triggers a remarkable release factors, immune coagulation dysfunction, damage to vital organs such brain, lungs, heart, liver, kidneys. Recently, role mesenchymal stem cells (MSCs) in various clinical diseases has garnered significant attention due their immunomodulatory, anti-inflammatory, healing, anti-apoptotic, antibacterial properties. Despite common use LPS models induce simulate acute inflammation, integration cell therapy within these remains underexplored. This article integrates induced animal model reviews current evidence regarding therapeutic mechanisms across human body systems. Furthermore, this review predicts hypothesizes feasibility potential using that have not yet been extensively studied, based on existing models.

Language: Английский

Citations

0