Species Dependent Toxicity Comparison Outcome

Toxicity comparison plays a crucial role in material selection across diverse application fields. Accurate and systematic comparison of toxicity responses among different materials is essential for developing environmentally friendly and safer advanced technologies. In this study, we report a unique phenomenon in toxicity comparison: the relative toxicity ranking between two perovskite compositions reverses when the animal species is changed. We quantitatively assess and compare toxicity responses ranging from macroscopic observations (body weight, organ index, and blood biochemistry) to molecular-level responses (transcriptomic alterations) across different species and material compositions. Our results reveal that the toxicity variation induced by a species change (from mice to rabbits) exceeds that caused by a compositional change (from lead to tin perovskite). The tiny overlap of damaged genes and biological pathways between mice and rabbits accounts for the pronounced interspecies toxicity differences. Furthermore, tin-based perovskites display greater sensitivity to species variation than their lead-based counterparts. Consequently, while lead-based perovskites are more toxic in mice, this trend reverses in rabbits, where tin-based perovskites exhibit higher toxicity. This work provides new insight into how species-dependent biomolecular responses fundamentally shape toxicity comparison outcomes.

Authors

Institutions

Publication Details

Journal
Advanced Science
Published
2026-03-31
DOI
https://doi.org/10.1002/advs.202523889
Primary Topic
Perovskite Materials and Applications
Type
article
Field-Weighted Citation Impact
0.00

Funders

Controls
|||
ALL TIME
JAN
FEB
MAR
APR
MAY
JUN
JUL
AUG
SEP
OCT
article

Species Dependent Toxicity Comparison Outcome

Chong Deng, Sihang Liu, Lian Xiao, Yan Huang et al.
Advanced Science
Perovskite Materials and Applications
article

Species Dependent Toxicity Comparison Outcome

Chong Deng, Sihang Liu, Lian Xiao, Yan Huang, Zhi‐Gang Zheng, Zhan Yu, Yuheng Liu, Yugang Zhao
article en

Abstract

Toxicity comparison plays a crucial role in material selection across diverse application fields. Accurate and systematic comparison of toxicity responses among different materials is essential for developing environmentally friendly and safer advanced technologies. In this study, we report a unique phenomenon in toxicity comparison: the relative toxicity ranking between two perovskite compositions reverses when the animal species is changed. We quantitatively assess and compare toxicity responses ranging from macroscopic observations (body weight, organ index, and blood biochemistry) to molecular-level responses (transcriptomic alterations) across different species and material compositions. Our results reveal that the toxicity variation induced by a species change (from mice to rabbits) exceeds that caused by a compositional change (from lead to tin perovskite). The tiny overlap of damaged genes and biological pathways between mice and rabbits accounts for the pronounced interspecies toxicity differences. Furthermore, tin-based perovskites display greater sensitivity to species variation than their lead-based counterparts. Consequently, while lead-based perovskites are more toxic in mice, this trend reverses in rabbits, where tin-based perovskites exhibit higher toxicity. This work provides new insight into how species-dependent biomolecular responses fundamentally shape toxicity comparison outcomes.

Advanced Science
East China University of Science and Technology (CN), University of Shanghai for Science and Technology (CN), Nanyang Technological University (SG), Capital Medical University (CN), Shanghai University of Electric Power (CN), Beijing Anzhen Hospital (CN), Beijing YouAn Hospital (CN), Beijing Obstetrics and Gynecology Hospital (CN), Beihang University (CN)
National Natural Science Foundation of China, National Key Research and Development Program of China
Openalex Percentile: Top 14%
Perovskite Materials and Applications
AI Navigator

Ask Laika to Summarize, Analyze, and Connect papers live on the map.

Summarize Papers & Methodologies

Extract key findings, datasets, and comparative methods across publications.

Benchmark Rankings & Visual Analytics

Rank top research institutions, authors, funders, topics, and journals by Field-Weighted Citation Impact (FWCI) and paper volume with instant charts.

Connect Distant Disciplines

Bridge topological clusters on the map to find hidden collaborative intersections.