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Environmental antibiotics in wastewater disrupt zebrafish embryonic development via Wnt/β-catenin signaling: mechanistic insights and implications for risk assessment.

Zhu H, Lan X, Zhou K, Huang H, Song X

Urban Ecology

Same wastewater that irrigates community gardens, parks, and agricultural fields carries antibiotic residues that current treatment plants don't fully remove — meaning those chemicals may be reaching the soil and water your food grows in.

Scientists looked at wastewater from treatment plants around the world and found that leftover antibiotics — the kind from medicine and farming — are showing up at levels high enough to cause real harm to developing animals. When fish embryos were exposed to these chemicals, their hearts swelled and their cells started dying off. By using a precise gene-editing tool, researchers traced the damage back to a single molecular switch being flipped the wrong way, proving exactly how these drugs cause harm.

Key Findings

1

A review of 121 studies found amoxicillin, trimethoprim, and norfloxacin are the highest-priority antibiotic contaminants in wastewater treatment plant effluents worldwide.

2

Zebrafish embryos exposed to environmentally realistic antibiotic concentrations developed pericardial edema, oxidative stress, and impaired heart function in a dose-dependent manner.

3

CRISPR-based silencing of the wnt1 gene significantly reduced cardiac malformations and cell death, confirming Wnt/β-catenin signaling disruption as the core toxic mechanism.

chevron_right Technical Summary

Antibiotic residues flushed through wastewater treatment plants are present at levels that disrupt early animal development by hijacking a fundamental cellular signaling pathway. The study identifies three common antibiotics as top offenders and pinpoints a specific molecular target that could serve as an early-warning biomarker for ecological risk.

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Abstract Preview

Antibiotic residues in wastewater treatment plant (WWTP) effluents are a matter of global environmental health concern. This study combined global WWTP monitoring data with epidemiological modeling...

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