TCTianrui Chang

Tianrui Chang

*This is an algorithmically generated author record based on publicly available information.

Current Organizations / Institutes

The organizations/institutes from the scholar's latest article


Tianrui Chang has a total of 19 co-authors. Here are the top co-authors by number of shared publications:

  • Luca Salvigni

    Organic Bioelectronics Laboratory, Biological and Environmental Science and Engineering Division, King Abdullah University of Science and Technology (KAUST), Thuwal 23955-6900, Saudi Arabia

    2 shared publications
  • Sahika Inal

    Organic Bioelectronics Laboratory, Biological and Environmental Science and Engineering Division, King Abdullah University of Science and Technology (KAUST), Thuwal 23955-6900, Saudi Arabia

    2 shared publications
  • Shofarul Wustoni

    Organic Bioelectronics Laboratory, Biological and Environmental Science and Engineering Division, King Abdullah University of Science and Technology (KAUST), Thuwal 23955-6900, Saudi Arabia

    2 shared publications
  • Adel Hama

    Organic Bioelectronics Laboratory, Division of Biomedical Sciences, King Abdullah University of Science and Technology (KAUST), Saudi Arabia

    1 shared publication
  • Ashraf Dada

    King Faisal Specialist Hospital and Research Centre, Department of Pathology and Laboratory Medicine, Virology Technology

    1 shared publication
  • Atheer Alqatari

    KAUST Center of Excellence for Smart Health (KCSH) Biomedical Sciences Division KAUST Thuwal Saudi Arabia

    1 shared publication

Latest Publications

  • Open Access

    Electronic profiling of neuronal extracellular vesicles enables early prediction of Parkinson’s disease

    by Tianrui Chang, Cheng Jiang, Shijun Yan, Shofarul Wustoni, Luca Salvigni, Rania Almaghrabi, Michele T. Hu, George K. Tofaris, Keying Guo, Sahika Inal

    Misfolded alpha-Synuclein (α-Syn) accumulation is the defining molecular pathology of Parkinson’s disease (PD), yet blood-based assays remain challenged by the high background of peripheral α-Syn originating mainly from red blood cells. Neuronal extracellular vesicles (EVs) circulating in blood offer a biologically enriched source of brain-derived α-Syn proteoforms, but their ultralow abundance has hindered reliable detection. Here, we introduce an organic electrochemical transistor–based multiparametric diagnostic assay that simultaneously detects total, aggregated, and serine-129–phosphorylated α-Syn proteoforms in serum L1CAM + EVs. The platform achieves low femtomolar sensitivity in buffer and robust analytical performance in clinical specimens. In a cohort of 66 individuals, including prodromal and clinically diagnosed patients with PD, combining the three proteoform readouts distinguished PD from controls with 90.9% accuracy (88.6% sensitivity and 90.9% specificity). By electronically amplifying and resolving multiple neuronal α-Syn signatures in blood, this assay enables a minimally invasive diagnostic tool for early-stage PD and provides a path toward therapeutic intervention during the window when disease-modifying treatments are likely to be most effective.

  • Open Access

    Time‐Multiplexed Organic Electrochemical Transistor for Saliva‐Based Rapid Detection of Viral Proteins

    by Tianrui Chang, Yuxiang Ren, Shofarul Wustoni, Atheer Alqatari, Adel Hama, Yazhou Wang, Long Chen, Jessica Parrado Agudelo, Luca Salvigni, Keying Guo, et al.

    Timely and accurate diagnosis of respiratory infections is complicated by the symptomatic overlap between highly transmissible pathogens such as respiratory syncytial virus (RSV), influenza A (IAV), and influenza B (IBV), highlighting the need for rapid and reliable diagnostics. Here, we report a time‐multiplexed nanobody‐functionalized organic electrochemical transistor (OECT) biosensor for the sensitive detection of RSV, IAV, and IBV directly from unprocessed saliva samples. The platform integrates arrays of nanobody‐functionalized gate electrodes that are exposed in parallel to a single sample and sequentially addressed through a shared transistor channel. We characterize nine previously reported nanobodies and immobilize the best‐performing ones using an oriented SpyDirect self‐assembly strategy. The nanobody‐functionalized gate electrodes are paired with a high‐performance p‐type organic mixed ionic‐electronic conductor channel, enabling efficient signal transduction. The sensor achieves a limit of detection of ca. 1 f m and identifies viral targets within 15 min, without sample preprocessing. In a clinical validation using 17 samples, the platform demonstrated 100% specificity, 86.7% sensitivity, and 88.2% overall accuracy. By combining highly specific nanobodies, a high‐gain transducer, customized surface pre‐treatment, and a time‐multiplexed multi‐gate architecture, this approach provides a scalable and user‐friendly platform for point‐of‐care virus detection.