Published January 1, 2024 | Version v1
Journal article Open

A plasmonic biosensor pre-diagnostic tool for Familial Mediterranean Fever

  • 1. Malatya Turgut Ozal Univ, Fac Engn & Nat Sci, Dept Engn Basic Sci, Malatya, Turkiye
  • 2. Izmir Biomed & Genome Ctr, Izmir, Turkiye
  • 3. Izmir Katip Celebi Univ, Fac Pharm, Dept Analyt Chem, Izmir, Turkiye
  • 4. Inonu Univ, Fac Med, Dept Pediat, Malatya, Turkiye
  • 5. Dokuz Eylul Univ, Fac Med, Div Pediat Rheumatol, Izmir, Turkiye
  • 6. Inonu Univ, Fac Arts & Sci, Dept Chem, Malatya, Turkiye

Description

Familial Mediterranean Fever (FMF) is an autosomal recessive genetic disorder, primarily observed in populations around the Mediterranean Sea, linked to MEFV gene mutations. These mutations disrupt inflammatory responses, increasing pyrin-protein production. Traditional diagnosis relies on clinical symptoms, family history, acute phase reactants, and excluding similar syndromes with MEFV testing, which is expensive and often inconclusive due to heterozygous mutations. Here, we present a biosensor platform that detects differences in pyrin-protein levels between healthy and affected individuals, offering a cost-effective alternative to genetic testing. Our platform uses gold nanoparticle-based plasmonic chips enhanced with anti-pyrin antibodies, achieving a detection limit of 0.24 ng/mL with high specificity. The system integrates an optofluidic system and visible light spectroscopy for real-time analysis, with signal stability maintained for up to six months. Our technology will enhance FMF diagnosis accuracy, enabling early treatment initiation and providing a cost-effective alternative to genetic testing, thus improving patient care.

There are currently no laboratory tests available for definitive diagnosis of Familial Mediterranean Fever (FMF). Here, the authors develop cost-effective and accurate plasmonic biosensor platform which detects pyrin-protein levels to aid diagnosis of FMF.

Files

bib-51e17570-d328-41ee-a7a6-61251409cfe5.txt

Files (279 Bytes)

Name Size Download all
md5:e8d6ca4f3a235d6cf20ae40bf3b8baaa
279 Bytes Preview Download