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Article ? AI-assigned paper type based on the abstract. Classification may not be perfect — flag errors using the feedback button. Tier 2 ? Original research — experimental, observational, or case-control study. Direct primary evidence. Human Health Effects Sign in to save

Human health risk model for microplastic exposure in the Arctic region

The Science of The Total Environment 2023 25 citations ? Citation count from OpenAlex, updated daily. May differ slightly from the publisher's own count. Score: 55 ? 0–100 AI score estimating relevance to the microplastics field. Papers below 30 are filtered from public browse.
Mohammad Sadiq Saeed, Mohammad Sadiq Saeed, Bing Chen Faisal Fahd, Bing Chen Bing Chen Faisal Fahd, Bing Chen Bing Chen Faisal Fahd, Bing Chen Bing Chen Faisal Fahd, Faisal Khan, Faisal Khan, Bing Chen Bing Chen Bing Chen Bing Chen Rehan Sadiq, Rehan Sadiq, Rehan Sadiq, Rehan Sadiq, Bing Chen Bing Chen Bing Chen Bing Chen Bing Chen Bing Chen

Summary

Researchers developed a new model to estimate the cancer risk that microplastics contaminated with heavy metals and other harmful chemicals may pose to people living in the Arctic region. The model accounts for local food sources, environmental conditions, and how the human body processes these contaminants. The study suggests that certain Arctic communities who rely heavily on local seafood may face elevated long-term exposure to microplastic-associated pollutants.

Microplastics enriched with carcinogens like heavy metals, polycyclic aromatic hydrocarbons (PAHs), and their derivatives are ubiquitous in Arctic waters. They contaminate the local land and sea-based food sources, which is a significant health hazard. It is thus imperative to assess the risk posed by them to the nearby communities, which primarily rely on locally available food sources to meet their energy requirements. This paper proposes a novel ecotoxicity model to assess the human health risk posed by microplastics. The region's geophysical and environmental conditions affecting human microplastic intake, along with the human physiological parameters influencing biotransformation, are incorporated into the developed causation model. It investigates the carcinogenic risk associated with microplastic intake in humans via ingestion in terms of incremental excess lifetime cancer risk (IELCR). The model first evaluates microplastic intake and then uses reactive metabolites produced due to the interaction of microplastics with xenobiotic metabolizing enzymes to assess cellular mutations that result in cancer. All these conditions are mapped in an Object-Oriented Bayesian Network (OOBN) framework to evaluate IELCR. The study will provide a vital tool for formulating better risk management strategies and policies in the Arctic region, especially concerning Arctic Indigenous peoples.

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