2026, Number 1
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Rev Biomed 2026; 37 (1)
Honey Bees as Bioindicators of Air Pollution: A Narrative Review on Human Health Implications
García-Sánchez GG, Ortíz-Acosta ME, Kammar-García A
Language: English
References: 47
Page: 25-40
PDF size: 299.61 Kb.
ABSTRACT
Air pollution is a growing threat to environmental
and human health, particularly in densely populated
and industrial regions such as Baja California
(Mexico) and California (USA).This narrative
review, informed by a structured literature search,
explores the use of honey bees (Apis mellifera) as
bioindicators of air quality and their relevance for
environmental and public health surveillance within
a One Health framework. A systematic literature
search was conducted in PubMed/PubMed Central
in May 2025, with no restrictions on language
or study type, using MeSH terms and relevant
keywords combined with Boolean operators.
A manual search of key references was also
performed. The selection process included duplicate
removal, title and abstract screening, and full-text
review using predefined inclusion criteria. Evidence
indicates that bees accumulate atmospheric
contaminants, including heavy metals, pesticides,
particulate matter, and microplastics, across various
matrices such as wings, pollen, and honey. These
exposures trigger sublethal physiological responses,
including oxidative stress and enzymatic alterations,
paralleling early pathophysiological mechanisms
in humans (e.g., IL-6 and TNF-α–mediated
inflammation). Bee-based biomonitoring represents
a cost-effective, sensitive, and scalable approach
for identifying pollution hotspots and potential
human exposure zones. The use of honey bees as
environmental bioindicators can enhance early
detection of pollution-related health risks, especially
in regions with limited air quality infrastructure.
Implementing standardized analytical protocols and
fostering binational cooperation between Mexico
and the United States could strengthen One Health
surveillance networks. This integrative approach
provides a practical model for linking environmental
monitoring with preventive public health strategies.
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