Literature DB >> 18186670

Systematic reviews of animal experiments demonstrate poor human clinical and toxicological utility.

Andrew Knight1.   

Abstract

The assumption that animal models are reasonably predictive of human outcomes provides the basis for their widespread use in toxicity testing and in biomedical research aimed at developing cures for human diseases. To investigate the validity of this assumption, the comprehensive Scopus biomedical bibliographic databases were searched for published systematic reviews of the human clinical or toxicological utility of animal experiments. In 20 reviews in which clinical utility was examined, the authors concluded that animal models were either significantly useful in contributing to the development of clinical interventions, or were substantially consistent with clinical outcomes, in only two cases, one of which was contentious. These included reviews of the clinical utility of experiments expected by ethics committees to lead to medical advances, of highly-cited experiments published in major journals, and of chimpanzee experiments--those involving the species considered most likely to be predictive of human outcomes. Seven additional reviews failed to clearly demonstrate utility in predicting human toxicological outcomes, such as carcinogenicity and teratogenicity. Consequently, animal data may not generally be assumed to be substantially useful for these purposes. Possible causes include interspecies differences, the distortion of outcomes arising from experimental environments and protocols, and the poor methodological quality of many animal experiments, which was evident in at least 11 reviews. No reviews existed in which the majority of animal experiments were of good methodological quality. Whilst the effects of some of these problems might be minimised with concerted effort (given their widespread prevalence), the limitations resulting from interspecies differences are likely to be technically and theoretically impossible to overcome. Non-animal models are generally required to pass formal scientific validation prior to their regulatory acceptance. In contrast, animal models are simply assumed to be predictive of human outcomes. These results demonstrate the invalidity of such assumptions. The consistent application of formal validation studies to all test models is clearly warranted, regardless of their animal, non-animal, historical, contemporary or possible future status. Likely benefits would include, the greater selection of models truly predictive of human outcomes, increased safety of people exposed to chemicals that have passed toxicity tests, increased efficiency during the development of human pharmaceuticals and other therapeutic interventions, and decreased wastage of animal, personnel and financial resources. The poor human clinical and toxicological utility of most animal models for which data exists, in conjunction with their generally substantial animal welfare and economic costs, justify a ban on animal models lacking scientific data clearly establishing their human predictivity or utility.

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Year:  2007        PMID: 18186670     DOI: 10.1177/026119290703500610

Source DB:  PubMed          Journal:  Altern Lab Anim        ISSN: 0261-1929            Impact factor:   1.303


  19 in total

1.  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

2.  The rat closely mimics oxidative stress and inflammation in humans after exercise but not after exercise combined with vitamin C administration.

Authors:  Aristidis S Veskoukis; Georgios Goutianos; Vassilis Paschalis; Nikos V Margaritelis; Aikaterini Tzioura; Konstantina Dipla; Andreas Zafeiridis; Ioannis S Vrabas; Antonios Kyparos; Michalis G Nikolaidis
Journal:  Eur J Appl Physiol       Date:  2016-02-08       Impact factor: 3.078

3.  Machine Learning Models for Predicting Liver Toxicity.

Authors:  Jie Liu; Wenjing Guo; Sugunadevi Sakkiah; Zuowei Ji; Gokhan Yavas; Wen Zou; Minjun Chen; Weida Tong; Tucker A Patterson; Huixiao Hong
Journal:  Methods Mol Biol       Date:  2022

Review 4.  Peripheral Blood Mononuclear Cells (PBMCs) to Dissect the Underlying Mechanisms of Bone Disease in Chronic Kidney Disease and Rare Renal Diseases.

Authors:  Irma Machuca-Gayet; Justine Bacchetta; Julie Bernardor; Candide Alioli; Marie-Noelle Meaux; Olivier Peyruchaud
Journal:  Curr Osteoporos Rep       Date:  2021-11-13       Impact factor: 5.096

Review 5.  Urinary kidney biomarkers for early detection of nephrotoxicity in clinical drug development.

Authors:  Leonie van Meer; Matthijs Moerland; Adam F Cohen; Jacobus Burggraaf
Journal:  Br J Clin Pharmacol       Date:  2014-06       Impact factor: 4.335

Review 6.  Is the use of sentient animals in basic research justifiable?

Authors:  Ray Greek; Jean Greek
Journal:  Philos Ethics Humanit Med       Date:  2010-09-08       Impact factor: 2.464

Review 7.  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

Review 8.  Drug-induced liver injury: is it somehow foreseeable?

Authors:  Giovanni Tarantino; Matteo Nicola Dario Di Minno; Domenico Capone
Journal:  World J Gastroenterol       Date:  2009-06-21       Impact factor: 5.742

9.  Look back in anger - what clinical studies tell us about preclinical work.

Authors:  Thomas Hartung
Journal:  ALTEX       Date:  2013       Impact factor: 6.043

Review 10.  Advances in 3D peptide hydrogel models in cancer research.

Authors:  Jingwen Xu; Guangyan Qi; Weiqun Wang; Xiuzhi Susan Sun
Journal:  NPJ Sci Food       Date:  2021-06-01
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