Antitumor activity of scorpion venom-derived peptides: A meta-analysis of preclinical studies

  Antitumor activity of scorpion venom-derived peptides: A meta-analysis of preclinical studies Abstract Despite advances in cancer therapeutics, there are still challenges in improving drug toxicity and selectivity. Peptides from various venous species have recently garnered attention for their biopharmaceutical potential, particularly in cancer. The present study aimed to conduct a meta-analysis of the antitumor activity of scorpion venom-derived peptides (SVDPs) previously reported in preclinical models. The bibliographic research included original and review articles written in English published from 2015 to 2026. Studies within the scope were retrieved from the EBSCO Discovery Service, PubMed, and WIPO databases. A total of 27 articles that met the inclusion and exclusion criteria were included in this research, and the collected data were synthesized through a meta-analysis. In the included in vitro and in vivo studies, the effect of SVDPs on breast/mammary gland, cervical,...

A Biomimetic Stress Field Modulation Strategy Inspired by Scorpion Compound Slit Sensilla Enabled High-Accuracy and Low-Power Positioning Sensor for Identifying the Load Incident Angles

 


A Biomimetic Stress Field Modulation Strategy Inspired by Scorpion Compound Slit Sensilla Enabled High-Accuracy and Low-Power Positioning Sensor for Identifying the Load Incident Angles

Abstract

Numerous arthropods evolve and optimize sensory systems, enabling them to effectively adapt complex and competitive habitats. Typically, scorpions can precisely perceive the prey location with the lowest metabolic rate among invertebrates. This biological phenomenon contrasts sharply with engineered systems, which generally associates high accuracy with substantial energy consumption. Inspired by the Scorpion Compound Slit Sensilla (SCSS) with a stress field modulation strategy, a bionic positioning sensor with superior precision and minimal power consumption is developed for the first time, which utilizes the particular Minimum Positioning Units (MPUs) to efficiently locate vibration signals. The single MPU of the SCSS can recognize the direction of collinear loads by regulating the stress field distribution and further, the coupling action of three MPUs can realize all-angle vibration monitoring in plane. Experiments demonstrate that the bionic positioning sensor achieves 1.43 degrees of angle-error-free accuracy without additional energy supply. As a proof of concept, two bionic positioning sensors and machine learning algorithm are integrated to provide centimeter (cm)-accuracy target localization, ideally suited for the man-machine interaction. The novel design offers a new mechanism for the design of traditional positioning devices, improving precision and efficiency in both the meta-universe and real-world Internet-connected systems.

Zhang, J., Chen, Y., Li, H. et al. A Biomimetic Stress Field Modulation Strategy Inspired by Scorpion Compound Slit Sensilla Enabled High-Accuracy and Low-Power Positioning Sensor for Identifying the Load Incident Angles. J Bionic Eng (2025). https://doi.org/10.1007/s42235-025-00661-4