ArticleMarine biotechnology (New York, N.Y.)2026
From Adaptation to Collapse: Immune Remodeling, Mitochondrial Dysfunction, and Cell Death Induced by Polystyrene Nanoplastics in Procambarus clarkii Hepatopancreas.
Article in Marine biotechnology (New York, N.Y.), 2026. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.
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Authors and funding
10 authors.
Funding
Abstract
Nanoplastic (NP) pollution threatens aquatic ecosystems, but concentration‑dependent molecular effects remain unclear. Using integrative transcriptomics and metabolomics, we exposed Procambarus clarkii to 200 nm polystyrene nanoplastics (0, 0.5, 1, 2 mg/L) for 28 days. Hepatopancreas analyses revealed a progressive shift from adaptive regulation at low doses to systemic dysfunction at high doses. At low concentrations, PS-NPs induced mild immune activation and ECM remodeling (upregulation of MUC17, ITGB1, CLEC17A). Medium-dose exposure triggered extensive transcriptomic and metabolic reprogramming, including DNA replication/repair activation (H2AX, MCM, PCNA), amino acid depletion, pro-inflammatory lipid accumulation, and elevated RIPK3 expression, indicative of necroptosis. High concentrations caused severe ECM disruption, immune dysregulation, DNA damage, and cell cycle alterations. Key genes (HSP90, CYCA, H2AX) and metabolites (vaccenic acid, L-isoleucine, 1-arachidonoylglycerol) were identified as potential biomarkers of PS-NP-induced stress. Overall, our findings revealed a concentration-dependent toxicological cascade and demonstrated the potential of crayfish as sentinel organisms for evaluating freshwater NP pollution. These results provided a molecular basis for environmental risk assessment and underscore the need to monitor NPs in freshwater ecosystems.
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Registered trials
Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.