The yin and yang of immunomodulatory biologics: assessing the delicate balance between benefit and risk.
A number of therapeutic immunomodulatory biologics, including antibodies, fusion proteins, and recombinant proteins, have been causally linked with serious adverse effects in humans. In nearly all cases, these serious adverse effects have been directly associated with the immunomodulatory biologic's intended pharmacologic activity or exaggerated pharmacology. Examples of immunomodulatory biologics known to cause serious adverse effects in the clinic ranging from immunostimulation and cytokine release syndrome (e.g., TGN1412) to immunosuppression with increased risk of opportunistic infections (e.g., TNF-α antagonists, anti-integrins) are presented. Specific examples of the nonclinical testing strategy used for the clinical risk assessment of these immunomodulatory biologics are discussed, with an emphasis on the clinical relevance and predictivity of the models. Infectious challenge animal models, in particular, were critically evaluated for their utility in evaluating clinical risk assessment versus understanding mechanism of action. The nonclinical safety testing strategy for an immunomodulatory biologic should be custom tailored to interrogate the biology of the immunologic target in order to best assess potential clinical risk. This nonclinical strategy should include mechanistic and efficacy models of pharmacologic activity and immunologic signaling pathways, in vitro immunologic assays such as cytokine release, and immunophenotypic assessment by flow cytometry, immunohistochemistry, and/or immunofluorescence, as appropriate.
Genentech, Inc., South San Francisco, California 94080, USA. ddanilen@gene.com
Dimitry M
DM
Danilenko
Hong
H
Wang
D000818:Animals; D001688:Biological Products / Q000009:adverse effects*; D004341:Drug Evaluation / Q000379:methods*; D006801:Humans; D007155:Immunologic Factors / Q000009:adverse effects*; D018570:Risk Assessment; D016709:Yin-Yang
D001688:Biological Products; D007155:Immunologic Factors