Peptide couplers
(also known as amide bond-forming reagents or
coupling reagents) are broadly used in organic chemical syntheses,
especially in the pharmaceutical industry. Yet, occupational health
hazards associated with this chemical class are largely unexplored,
which is disconcerting given the intrinsic reactivity of these compounds.
Several case studies involving occupational exposures reported adverse
respiratory and dermal health effects, providing initial evidence
of chemical sensitization. To address the paucity of toxicological
data, a pharmaceutical cross-industry task force was formed to evaluate
and assess the potential of these compounds to cause eye and dermal
irritation as well as corrosivity and dermal sensitization. The goal
of our work was to inform health and safety professionals as well
as pharmaceutical and organic chemists of the occupational health
hazards associated with this chemical class. To that end, 25 of the
most commonly used peptide couplers and five hydrolysis products were
selected for
in vivo, in vitro
, and
in silico
testing. Our findings confirmed that dermal sensitization is a concern
for this chemical class with 21/25 peptide couplers testing positive
for dermal sensitization and 15 of these being strong/extreme sensitizers.
We also found that dermal corrosion and irritation (8/25) as well
as eye irritation (9/25) were health hazards associated with peptide
couplers and their hydrolysis products (4/5 were dermal irritants
or corrosive and 4/5 were eye irritants). Resulting outcomes were
synthesized to inform decision making in peptide coupler selection
and enable data-driven hazard communication to workers. The latter
includes harmonized hazard classifications, appropriate handling recommendations,
and accurate safety data sheets, which support the industrial hygiene
hierarchy of control strategies and risk assessment. Our study demonstrates
the merits of an integrated,
in vivo
-
in
silico
analysis, applied here to the skin sensitization endpoint
using the Computer-Aided Discovery and REdesign (CADRE) and Derek
Nexus programs. We show that experimental data can improve predictive
models by filling existing data gaps while, concurrently, providing
computational insights into key initiating events and elucidating
the chemical structural features contributing to adverse health effects.
This interactive, interdisciplinary approach is consistent with Green
Chemistry principles that seek to improve the selection and design
of less hazardous reagents in industrial processes and applications.