General Overview of the 13th TECAM Conference

Climent, Andreu Μ.; Sanz‐Ruiz, Ricardo; Fernández‐Santos, María Eugenia; Arranz, Adolfo Villa; Fernández-Avilés, Francisco

doi:10.1161/circresaha.116.309337

Cited by 3 publications

(2 citation statements)

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“…These data emphasises the need for a clear understanding of the translational potential of different animal models and highlights the importance of calls for standardisation of animal models and therapeutic approaches in all research areas, for which only the neurological and cardiac fields have started first initiatives. [32][33][34][35] This study illustrates the importance of cross-domain systematic review and meta-analysis as tools for understanding important commonalities of value in future preclinical and clinical experimental design.…”

Section: What Can We Learn From This?mentioning

confidence: 86%

Combined meta-analysis of preclinical cell therapy studies shows overlapping effect modifiers for multiple diseases

Zwetsloot

Antonic‐Baker²,

Gremmels

et al. 2021

BMJ Open Science

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IntroductionCell therapy has been studied in many different research domains. Cellular replacement of damaged solid tissues is at an early stage of development, with much still to be understood. Systematic reviews and meta-analyses are widely used to aggregate data and find important patterns of results within research domains.We set out to find common biological denominators affecting efficacy in preclinical cell therapy studies for renal, neurological and cardiac disease.MethodsWe used datasets of five previously published meta-analyses investigating cell therapy in preclinical models of chronic kidney disease, spinal cord injury, stroke and ischaemic heart disease. We transformed primary outcomes to ratios of means to permit direct comparison across disease areas. Prespecified variables of interest were species, immunosuppression, cell type, cell origin, dose, delivery and timing of the cell therapy.ResultsThe five datasets from 506 publications yielded data from 13 638 animals. Animal size affects therapeutic efficacy in an inverse manner. Cell type influenced efficacy in multiple datasets differently, with no clear trend for specific cell types being superior. Immunosuppression showed a negative effect in spinal cord injury and a positive effect in cardiac ischaemic models. There was a dose–dependent relationship across the different models. Pretreatment seems to be superior compared with administration after the onset of disease.ConclusionsPreclinical cell therapy studies are affected by multiple variables, including species, immunosuppression, dose and treatment timing. These data are important when designing preclinical studies before commencing clinical trials.

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Section: What Can We Learn From This?mentioning

confidence: 86%

Combined meta-analysis of preclinical cell therapy studies shows overlapping effect modifiers for multiple diseases

Zwetsloot

Antonic‐Baker²,

Gremmels

et al. 2021

BMJ Open Science

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show abstract

“…16 In addition, new treatment modalities for HF that are employed at the early stages of the disease are emerging, 17 and cardiovascular regenerative medicine using genetic editing is advancing rapidly and offers considerable future potential. 18 Dr Fuster turned his attention to the challenges of treating HF in older patients. Chief among his concerns was patient adherence to therapy, which has led to the development of the polypill for cardiovascular prevention.…”

Section: Cardiovascular Research Foundation and Columbia Universitymentioning

confidence: 99%

Acute Cardiac Unloading and Recovery

Mountfort¹

2017

Interventional Cardiology Review

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Biological Bases of Cardiac Function and the Pro-regenerative Potential of Stem Cells in the Treatment of Myocardial Disorder

Bednarowicz

Kurpisz

2017

Cardiac Cell Culture Technologies

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General Overview of the 13th TECAM Conference

Cited by 3 publications

References 0 publications

Combined meta-analysis of preclinical cell therapy studies shows overlapping effect modifiers for multiple diseases

Combined meta-analysis of preclinical cell therapy studies shows overlapping effect modifiers for multiple diseases

Acute Cardiac Unloading and Recovery

Biological Bases of Cardiac Function and the Pro-regenerative Potential of Stem Cells in the Treatment of Myocardial Disorder

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