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Detection of Leptin Using Electrocatalyst Mediated Impedimetric Sensing.

Tamanna Islam1, Md Ariful Ahsan2, Masud Hassan3

  • 1Department of Pharmaceutical Sciences, School of Pharmacy, University of Texas at El Paso, El Paso, Texas 79902, United States.

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This study developed an electrochemical biosensor to measure leptin (Lep) levels in blood. This can help identify leptin resistance in obesity and guide personalized treatment strategies for better health outcomes.

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ImmunosensorLeptin detectionObesityPoint-of-careScreen printed carbon electrode

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Area of Science:

  • Biomedical Engineering
  • Analytical Chemistry
  • Endocrinology

Background:

  • Obesity is a complex health issue linked to cardiovascular diseases, diabetes, and cancer.
  • Leptin resistance, characterized by high circulating leptin (Lep), is common in diet-induced obesity and complicates treatment.
  • Understanding obesity pathophysiology is key for effective treatment strategies.

Purpose of the Study:

  • To develop an electrochemical immunosensing platform for quantitative leptin (Lep) measurement in systemic circulation.
  • To utilize Lep detection for identifying leptin resistance-mediated obesity.
  • To guide personalized treatment strategies for obesity.

Main Methods:

  • Synthesized a porous carbon confined FeNi bimetallic system via high-temperature pyrolysis.
  • Employed cyclic voltammetry (CV) and electrochemical impedance spectroscopy (EIS) to evaluate sensor performance.
  • Validated the sensor's feasibility using serum from high-fat diet-induced obese rats.

Main Results:

  • Achieved a limit of detection (LOD) of 157.4 fg/mL (GCE) and 184.9 fg/mL (SPCE) for Lep.
  • Demonstrated wide linear concentration ranges for Lep detection (up to 80 ng/mL).
  • Confirmed sensor selectivity, sensitivity, stability, and reproducibility in rat serum samples.

Conclusions:

  • The developed electrochemical biosensor shows potential for point-of-care leptin (Lep) detection.
  • Quantitative Lep measurement can aid in diagnosing leptin resistance-mediated obesity.
  • This platform may facilitate personalized obesity treatment approaches.