A paper-based SERS assay for sensitive duplex cytokine detection towards the atherosclerosis-associated disease

Chunxia Li1, Yuan Liu, Xiaoyan Zhou

  • 1Shanghai Jiao Tong University School of Medicine, Shanghai, China.

Insights

A new sensing platform detects key cytokines, interleukin-10 (IL-10) and monocyte chemoattractant protein-1 (MCP-1), for atherosclerosis monitoring. This method offers sensitive and specific detection in human serum for early disease diagnosis.

Area of Science:

  • Biomedical Engineering
  • Analytical Chemistry
  • Immunology

Background:

  • Atherosclerosis (AS) is a primary cause of cardiovascular and cerebrovascular diseases, with complex, multifactorial origins.
  • Cytokines, including IL-10 and MCP-1, play critical roles in AS pathogenesis and immune regulation.
  • Monitoring IL-10 and MCP-1 levels is crucial for AS status assessment and early diagnosis of related conditions.

Purpose of the Study:

  • To develop a novel sensing platform for the simultaneous detection of IL-10 and MCP-1.
  • To enable sensitive, specific, and quantitative analysis of these cytokines in human serum.
  • To establish a potential tool for clinical monitoring and early diagnosis of AS-associated diseases.

Main Methods:

  • Fabrication of a paper-based surface-enhanced Raman spectroscopy (SERS) sensing platform using a nanoporous networking membrane and SERS nanotags.
  • Implementation of a sandwich assay format for enhanced sensitivity and specificity.
  • Detection and quantification of IL-10 and MCP-1 in human serum samples.

Main Results:

  • Achieved sensitive detection of IL-10 and MCP-1 with a limit of detection of 0.1 pg mL-1 in human serum.
  • Demonstrated high specificity, low non-specific binding, and acceptable cross-reactivity for target cytokines.
  • Successfully validated the platform's practicability through duplex detection in human serum.

Conclusions:

  • The developed paper-based SERS sensing platform provides a sensitive and specific method for detecting IL-10 and MCP-1.
  • This assay shows potential as a candidate for clinical multi-target analysis in real-world settings.
  • The platform facilitates early diagnosis and monitoring of atherosclerosis-related conditions.

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