Aptamer‐Mediated Artificial Synapses for Neuromorphic Modulation of Inflammatory Signaling via Organic Electrochemical Transistor

Artificial synaptic devices that mimic neuromorphic signal processing hold great promise for bioelectronic interfaces. However, most systems remain limited to physical stimuli or electroactive small molecules, lacking the ability to transduce biologically relevant protein signals. To address this limitation, an aptamer-mediated aqueous artificial synaptic transistor is developed capable of selectively responding to the interleukin-6 (IL-6) signal, a specifically expressed protein of inflammatory stress, via gate-voltage-induced synaptic modulation in biologically relevant electrolyte environments. Guided by molecular docking simulations, high-affinity aptamer sequences are identified for robust recognition of IL-6. The device demonstrates precise IL-6 capture and translation into neuromorphic electrical signals across various biological electrolytes (PBS, albumin, serum), with linear detection from 0.5 pm to 50 nm. Moreover, the device can convert IL-6 binding events into time and concentration-dependent electrical outputs, exhibiting significant synaptic plasticity and memory retention. When implanted into the caudal vein of sepsis mice, the device stably monitors IL-6 level and maintains reliable synaptic response to inflammatory-triggered elevations. Machine learning analysis enables accurate discrimination between normal and pathological states from device-generated signals. By bridging biochemical signals with neuromorphic encoding, this system outlines a conceptual framework for future integration between artificial and biological neural units, contributing to the hybrid neurosensory systems.

Authors

Institutions

Publication Details

Journal
Advanced Science
Published
2025-08-04
DOI
https://doi.org/10.1002/advs.202509545
Citations
3
Primary Topic
Conducting polymers and applications
Type
article
Field-Weighted Citation Impact
1.82

Funders

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

Aptamer‐Mediated Artificial Synapses for Neuromorphic Modulation of Inflammatory Signaling via Organic Electrochemical Transistor

Shunjie Chen, Yuchao Dong, Yuqing Ding, R.-L. Li et al.
3 citations
Advanced Science
Conducting polymers and applications
1.82
article

Aptamer‐Mediated Artificial Synapses for Neuromorphic Modulation of Inflammatory Signaling via Organic Electrochemical Transistor

Shunjie Chen, Yuchao Dong, Yuqing Ding, R.-L. Li, Bo Wang, Zhihui Wang, Meng Guo, Yanfang Liu, Yan Jun Zhao, Yunqi Liu, Xinzhao Xu, You Kuai
article en
3 citations

Abstract

Artificial synaptic devices that mimic neuromorphic signal processing hold great promise for bioelectronic interfaces. However, most systems remain limited to physical stimuli or electroactive small molecules, lacking the ability to transduce biologically relevant protein signals. To address this limitation, an aptamer-mediated aqueous artificial synaptic transistor is developed capable of selectively responding to the interleukin-6 (IL-6) signal, a specifically expressed protein of inflammatory stress, via gate-voltage-induced synaptic modulation in biologically relevant electrolyte environments. Guided by molecular docking simulations, high-affinity aptamer sequences are identified for robust recognition of IL-6. The device demonstrates precise IL-6 capture and translation into neuromorphic electrical signals across various biological electrolytes (PBS, albumin, serum), with linear detection from 0.5 pm to 50 nm. Moreover, the device can convert IL-6 binding events into time and concentration-dependent electrical outputs, exhibiting significant synaptic plasticity and memory retention. When implanted into the caudal vein of sepsis mice, the device stably monitors IL-6 level and maintains reliable synaptic response to inflammatory-triggered elevations. Machine learning analysis enables accurate discrimination between normal and pathological states from device-generated signals. By bridging biochemical signals with neuromorphic encoding, this system outlines a conceptual framework for future integration between artificial and biological neural units, contributing to the hybrid neurosensory systems.

Advanced ScienceVol. 12(40)
Tongji University (CN), Second Military Medical University (CN), Fudan University (CN), Changhai Hospital (CN), Shanghai East Hospital (CN), Institute of Immunology (HR), Shanghai Tenth People's Hospital (CN)
Natural Science Foundation of Shanghai, National Natural Science Foundation of China, National Key Research and Development Program of China
Reduced inequalities, Peace, Justice and strong institutions
Openalex Percentile: Top 15%
Conducting polymers and applications
1.82
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.