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About

Liu-Jie Ren is a pioneering researcher at the intersection of acupuncture science and biomedical engineering, whose work systematically decodes the neurobiological mechanisms of acupuncture analgesia. Ren’s primary research areas include acupuncture stimulation parameters, mast cell-mediated pain modulation, and the development of robotic acupuncture systems for standardized treatment. In a landmark 2024 study (6 citations), Ren demonstrated how needle modification directly influences analgesic outcomes, establishing a quantitative framework for a therapy often considered subjective. A companion study (5 citations) used acute adjuvant arthritis rat models to reveal that specific lifting-thrusting frequencies and amplitudes correlate with mast cell degranulation—a critical step in the body’s pain-relief cascade. Ren further showed that stimulation duration is a key variable in mast cell activation and pain reduction (2025, 2 citations). Most notably, Ren designed and validated a robot arm-assisted acupuncture system with real-time motion and force monitoring (2025, 1 citation), a breakthrough that enables reproducible, quantifiable acupuncture research. By merging traditional therapy with precision engineering, Ren is laying the groundwork for evidence-based, personalized acupuncture protocols—a transformative contribution to both integrative medicine and pain neuroscience.