Why animal model studies are lost in translation

Area of Science:

• Biomedical Research
• Translational Science
• Drug Development

Background:

• Biomedical research has advanced molecular understanding of diseases, primarily through animal models.
• However, translating these findings into effective human therapies has been slow and challenging.
• Existing research paradigms may overemphasize novel findings, potentially misrepresenting disease complexity.

Purpose of the Study:

• To identify fundamental problems hindering the translation of basic science discoveries into clinical treatments.
• To propose a new conceptual framework for developing more effective therapeutics.
• To highlight the need for improved patient stratification in complex diseases.

Main Methods:

• Analysis of current challenges in biomedical research translation.
• Review of limitations in using animal models for human disease prediction.
• Examination of traditional disease classification systems.
• Conceptual development of a new paradigm for therapeutic development.

Main Results:

• Emphasis on novel, high-magnitude findings creates a biased view of disease pathophysiology.
• Animal models fail to capture human disease heterogeneity and predict therapeutic success.
• Current disease classifications based on clinical criteria do not reflect underlying pathophysiologic mechanisms.

Conclusions:

• A paradigm shift is needed to incorporate the totality of evidence on disease mechanisms.
• Pathophysiologic stratification of patients is essential to identify subpopulations with distinct mechanisms.
• This approach is crucial for advancing the development of novel therapeutics for complex diseases.