Literature DB >> 18474018

Systematic reviews of animal experiments demonstrate poor contributions toward human healthcare.

Andrew Knight1.   

Abstract

Widespread reliance on animal models during preclinical research and toxicity testing assumes their reasonable predictivity for human outcomes. However, of 20 published systematic reviews examining human clinical utility, located during a comprehensive literature search, animal models demonstrated significant potential to contribute toward the development of clinical interventions in only two cases, one of which was contentious. Included were experiments expected by ethics committees to lead to medical advances, highly-cited experiments published in major journals, and chimpanzee experiments-the species most generally predictive of human outcomes. Seven additional reviews failed to demonstrate utility in reliably predicting human toxicological outcomes such as carcinogenicity and teratogenicity. Results in animal models were frequently equivocal, or inconsistent with human outcomes. Consequently, animal data may not generally be considered useful for these purposes. Regulatory acceptance of non-animal models is normally conditional on formal scientific validation. In contrast, animal models are simply assumed to be predictive of human outcomes. These results demonstrate the invalidity of such assumptions. The poor human clinical and toxicological utility of animal models, combined with their generally substantial animal welfare and economic costs, necessitate considerably greater rigor within animal studies, and justify a ban on the use of animal models lacking scientific data clearly establishing their human predictivity or utility.

Entities:  

Mesh:

Year:  2008        PMID: 18474018     DOI: 10.2174/157488708784223844

Source DB:  PubMed          Journal:  Rev Recent Clin Trials        ISSN: 1574-8871


  22 in total

Review 1.  Designing phenotyping studies for genetically engineered mice.

Authors:  C J Zeiss; J M Ward; H G Allore
Journal:  Vet Pathol       Date:  2011-09-19       Impact factor: 2.221

2.  A 3D topographical model of parenchymal infiltration and perivascular invasion in glioblastoma.

Authors:  Kayla J Wolf; Stacey Lee; Sanjay Kumar
Journal:  APL Bioeng       Date:  2018-04-01

3.  Effects of Shiga toxin type 2 on a bioengineered three-dimensional model of human renal tissue.

Authors:  Teresa M DesRochers; Erica Palma Kimmerling; Dakshina M Jandhyala; Wassim El-Jouni; Jing Zhou; Cheleste M Thorpe; John M Leong; David L Kaplan
Journal:  Infect Immun       Date:  2014-10-13       Impact factor: 3.441

4.  Molecular characterization of the human ovulatory cascade-lesson from the IVF/IVM model.

Authors:  Gil M Yerushalmi; Ettie Maman; Yuval Yung; Alon Kedem; Ariel Hourvitz
Journal:  J Assist Reprod Genet       Date:  2011-06-11       Impact factor: 3.412

5.  Importance of Systematic Reviews and Meta-analyses of Animal Studies: Challenges for Animal-to-Human Translation.

Authors:  Zahra Bahadoran; Parvin Mirmiran; Khosrow Kashfi; Asghar Ghasemi
Journal:  J Am Assoc Lab Anim Sci       Date:  2020-07-29       Impact factor: 1.232

Review 6.  Tissue-engineered kidney disease models.

Authors:  Teresa M Desrochers; Erica Palma; David L Kaplan
Journal:  Adv Drug Deliv Rev       Date:  2013-12-17       Impact factor: 15.470

7.  Brexit: A Boon or a Curse for Animals Used in Scientific Procedures?

Authors:  Rachel Dunn
Journal:  Animals (Basel)       Date:  2021-05-25       Impact factor: 2.752

Review 8.  Cystic Fibrosis Human Organs-on-a-Chip.

Authors:  Herbert Luke Ogden; Hoyeol Kim; Kathryn A Wikenheiser-Brokamp; Anjaparavanda P Naren; Kyu Shik Mun
Journal:  Micromachines (Basel)       Date:  2021-06-25       Impact factor: 2.891

9.  Bioengineered 3D human kidney tissue, a platform for the determination of nephrotoxicity.

Authors:  Teresa M DesRochers; Laura Suter; Adrian Roth; David L Kaplan
Journal:  PLoS One       Date:  2013-03-14       Impact factor: 3.240

Review 10.  Self-organized Kidney Rudiments: Prospects for Better in vitro Nephrotoxicity Assays.

Authors:  Jamie A Davies
Journal:  Biomark Insights       Date:  2015-07-16
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