Assessment of human exposure to cadmium and its nephrotoxicity in the Chinese population

BACKGROUND

Cadmium (Cd) is a toxic heavy metal that widely detected in environment and accumulated in kidney, posing a great threat to human health. However, there is a lack of systematic investigation of exposure profile and association of Cd exposure with renal function in the Chinese population.

METHODS

Related articles were searched from PubMed, Web of Science, China National Knowledge Internet, and Wanfang to construct an aggregate exposure pathway (AEP) framework for Cd and to explore the correlation between Cd and renal function using random effects models.

RESULTS

A total of 220 articles were included in this study, among which 215 investigated human exposure and 12 investigated the association of Cd with renal outcomes. The AEP framework showed that 96.5 % and 62.5 % of total Cd intake were attributed to dietary intake in nonsmokers and smokers, respectively. And 35.2 % originated from cigarette smoke inhalation in smokers. In human body, Cd was detected in blood, urine, placenta, etc. Although the concentrations of Cd in blood and urine from subjects living in polluted areas showed a sharp downward trend since the early 21st century, higher concentration of Cd in the environment and human body in polluted areas was found. Kidney was the target organ. The level of blood Cd was positively associated with urinary β2-microglobulin [β2-MG, r (95 % CI) = 0.12 (0.05, 0.19)], albumin [0.13 (0.06, 0.20)], and retinol-binding protein [RBP, 0.14 (0.03, 0.24)]. Elevated urinary Cd was correlated with increases in β2-MG [0.22 (0.15, 0.29)], albumin [0.23 (0.16, 0.29)], N-acetyl-β-d-glucosaminidase [NAG, 0.33 (0.22, 0.44)], and RBP [0.22 (0.14, 0.30)].

CONCLUSIONS

Foods and cigarette smoke were two major ways for Cd intake, and Cd induced renal injury in the Chinese population. This study enhanced the understanding of human exposure and nephrotoxicity of Cd, and emphasized the need for controlling Cd level in polluted areas.

Integrating aggregate exposure pathway and adverse outcome pathway for micro/nanoplastics: A review on exposure, toxicokinetics, and toxicity studies

Micro/nanoplastics (MNPs) have emerged as a significant environmental concern due to their widespread distribution and potential adverse effects on human health and the environment. In this study, to integrate exposure and toxicity pathways of MNPs, a comprehensive review of the occurrence, toxicokinetics (absorption, distribution, and excretion [ADE]), and toxicity of MNPs were investigated using the aggregate exposure pathway (AEP) and adverse outcome pathway (AOP) frameworks. Eighty-five papers were selected: 34 papers were on detecting MNPs in environmental samples, 38 papers were on the ADE of MNPs in humans and fish, and 36 papers were related to MNPs toxicity using experimental models. This review not only summarizes individual studies but also presents a preliminary AEP-AOP framework. This framework offers a comprehensive overview of pathways, enabling a clearer visualization of intricate processes spanning from environmental media, absorption, distribution, and molecular effects to adverse outcomes. Overall, this review emphasizes the importance of integrating exposure and toxicity pathways of MNPs by utilizing AEP-AOP to comprehensively understand their impacts on human and ecological organisms. The findings contribute to highlighting the need for further research to fill the existing knowledge gaps in this field and the development of more effective strategies for the safe management of MNPs.

Organizing mechanism-related information on chemical interactions using a framework based on the aggregate exposure and adverse outcome pathways

This paper presents a framework for organizing and accessing mechanistic data on chemical interactions. The framework is designed to support the assessment of risks from combined chemical exposures. The framework covers interactions between chemicals that occur over the entire source-to-outcome continuum including interactions that are studied in the fields of chemical transport, environmental fate, exposure assessment, dosimetry, and individual and population-based adverse outcomes. The framework proposes to organize data using a semantic triple of a chemical (subject), has impact (predicate), and a causal event on the source-to-outcome continuum of a second chemical (object). The location of the causal event on the source-to-outcome continuum and the nature of the impact are used as the basis for a taxonomy of interactions. The approach also builds on concepts from the Aggregate Exposure Pathway (AEP) and Adverse Outcome Pathway (AOP). The framework proposes the linking of AEPs of multiple chemicals and the AOP networks relevant to those chemicals to form AEP-AOP networks that describe chemical interactions that cannot be characterized using AOP networks alone. Such AEP-AOP networks will aid the construction of workflows for both experimental design and the systematic review or evaluation performed in risk assessments. Finally, the framework is used to link the constructs of existing component-based approaches for mixture toxicology to specific categories in the interaction taxonomy.

Pathway-based predictive approaches for non-animal assessment of acute inhalation toxicity

New approaches are needed to assess the effects of inhaled substances on human health. These approaches will be based on mechanisms of toxicity, an understanding of dosimetry, and the use of in silico modeling and in vitro test methods. In order to accelerate wider implementation of such approaches, development of adverse outcome pathways (AOPs) can help identify and address gaps in our understanding of relevant parameters for model input and mechanisms, and optimize non-animal approaches that can be used to investigate key events of toxicity. This paper describes the AOPs and the toolbox of in vitro and in silico models that can be used to assess the key events leading to toxicity following inhalation exposure. Because the optimal testing strategy will vary depending on the substance of interest, here we present a decision tree approach to identify an appropriate non-animal integrated testing strategy that incorporates consideration of a substance's physicochemical properties, relevant mechanisms of toxicity, and available in silico models and in vitro test methods. This decision tree can facilitate standardization of the testing approaches. Case study examples are presented to provide a basis for proof-of-concept testing to illustrate the utility of non-animal approaches to inform hazard identification and risk assessment of humans exposed to inhaled substances.