Evidence map›Paper›PMID 40755409›Full record

ArticleAdvanced science (Weinheim, Baden-Wurttemberg, Germany)2025

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

Yuqing Ding, You Kuai, Rongpei Li, Xinzhao Xu, Bo Wang, Zhihui Wang, Yanfang Liu, Yuchao Dong, Shunjie Chen, Meng Guo and 2 more

Abstract read
In one paragraph

Article in Advanced science (Weinheim, Baden-Wurttemberg, Germany), 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 4 papers.

0numbers the graph read from it
0cells of the map it votes in
4citing papers in PubMed
–field-weighted citation impact
1 · What the graph read from it

What it found

Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.

The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.

2 · The registry

The trial behind it

Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.

Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.

3 · Its place in the literature

Who cites it

4 citing papers in PubMed.

  1. Article
  2. Neuromorphic Devices and Computing for Sensing, Memory, and Control.Advanced science (Weinheim, Baden-Wurttemberg, Germany) · 2026
    Review
  3. Review
  4. Article
4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

12 authors.

Yuqing DingDepartment of Materials Science, Fudan University, Shanghai, 200433, P. R. China.
You KuaiDepartment of Nephrology, Shanghai Fourth People's Hospital, School of Medicine, Tongji University, Shanghai, 200434, P. R. China.
Rongpei LiDepartment of Materials Science, Fudan University, Shanghai, 200433, P. R. China.
Xinzhao XuDepartment of Materials Science, Fudan University, Shanghai, 200433, P. R. China.
Bo WangDepartment of Materials Science, Fudan University, Shanghai, 200433, P. R. China.
Zhihui WangDepartment of Respiratory and Critical Care Medicine, Changhai Hospital, Naval Medical University, Shanghai, 200433, P. R. China.
Yanfang LiuNational Key Laboratory of Medical Immunology &Institute of Immunology, Navy Medical University, Shanghai, 200433, P. R. China.
Yuchao DongDepartment of Respiratory and Critical Care Medicine, Changhai Hospital, Naval Medical University, Shanghai, 200433, P. R. China.
Shunjie ChenDepartment of Nephrology, Shanghai Fourth People's Hospital, School of Medicine, Tongji University, Shanghai, 200434, P. R. China.
Meng GuoNational Key Laboratory of Medical Immunology &Institute of Immunology, Navy Medical University, Shanghai, 200433, P. R. China.
Yunqi LiuDepartment of Materials Science, Fudan University, Shanghai, 200433, P. R. China.
Yan ZhaoDepartment of Materials Science, Fudan University, Shanghai, 200433, P. R. China.ORCID https://orcid.org/0000-0002-4216-2150

Funding

National Key Research and Development Program of China 2022YFB3603804National Key Research and Development Program of China 2023YFC2505900National Natural Science Foundation of China 82222054National Natural Science Foundation of China 82370693National Natural Science Foundation of China 82471811Natural Science Foundation of Shanghai 24ZR1480800
6 · The paper itself

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.

Indexed as

Aptamers, NucleotideBiosensing TechniquesInflammationInterleukin-6SynapsesTransistors, ElectronicAnimalsMiceSignal TransductionAptamers, NucleotideInterleukin-6aptamer‐based biosensorinterleukin‐6 sensingneuromorphic interfaceorganic electrochemical transistorsynaptic plasticity

Identifiers

PMID40755409
PMCPMC12561412

What Socratic holds

Textmetadata
LicenceCC BY
Read underepoch 390

Registered trials

None linked

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 Socratic graph.