Your browser doesn't support javascript.
loading
Kappa/Lambda light-chain typing in Alzheimer's Disease.
Kaya, Zelal Zuhal; Tuzuner, Mete Bora; Sahin, Betul; Akgun, Emel; Aksungar, Fehime; Koca, Sebile; Serdar, Muhittin; Sahin, Sevki; Cinar, Nilgun; Karsidag, Sibel; Hanagasi, Hasmet Ayhan; Kilercik, Meltem; Serteser, Mustafa; K Baykal, Ahmet Tari.
Afiliación
  • Kaya ZZ; Department of Medical Biochemistry, Faculty of Medicine, Acibadem Mehmet Ali Aydinlar University, Istanbul, Turkey.
  • Tuzuner MB; Acibadem Labmed Clinical Laboratories, Istanbul, Turkey.
  • Sahin B; Acibadem Labmed Clinical Laboratories, Istanbul, Turkey.
  • Akgun E; Department of Medical Biochemistry, Faculty of Medicine, Acibadem Mehmet Ali Aydinlar University, Istanbul, Turkey.
  • Aksungar F; Acibadem Labmed Clinical Laboratories, Istanbul, Turkey.
  • Koca S; Department of Medical Biochemistry, Faculty of Medicine, Acibadem Mehmet Ali Aydinlar University, Istanbul, Turkey.
  • Serdar M; Acibadem Labmed Clinical Laboratories, Istanbul, Turkey.
  • Sahin S; Department of Medical Biochemistry, Faculty of Medicine, Acibadem Mehmet Ali Aydinlar University, Istanbul, Turkey.
  • Cinar N; Department of Medical Biochemistry, Faculty of Medicine, Acibadem Mehmet Ali Aydinlar University, Istanbul, Turkey.
  • Karsidag S; Department of Neurology, School of Medicine, Maltepe University, Istanbul, Turkey.
  • Hanagasi HA; Department of Neurology, School of Medicine, Maltepe University, Istanbul, Turkey.
  • Kilercik M; Department of Neurology, School of Medicine, Maltepe University, Istanbul, Turkey.
  • Serteser M; Department of Neurology, Istanbul Medical Faculty, Istanbul University, Istanbul, Turkey.
  • K Baykal AT; Department of Medical Biochemistry, Faculty of Medicine, Acibadem Mehmet Ali Aydinlar University, Istanbul, Turkey.
Curr Alzheimer Res ; 19(1): 84-93, 2022.
Article en En | MEDLINE | ID: mdl-35100957
BACKGROUND: Alzheimer's disease is a progressive neurodegenerative disorder characterized by memory loss and cognitive impairment. The diagnosis of Alzheimer's disease according to symptomatic events is still a puzzling task. Developing a biomarker-based, low-cost, and high-throughput test, readily applicable in clinical laboratories, dramatically impacts the rapid and reliable detection of the disease. OBJECTIVE: This study aimed to develop an accurate, sensitive, and reliable screening tool for diagnosing Alzheimer's disease, which can significantly reduce the cost and time of existing methods. METHODS: We have employed a MALDI-TOF-MS-based methodology combined with a microaffinity chromatography enrichment approach using affinity capture resins to determine serum kappa (κ) and lambda (λ) light chain levels in control and patients with AD. RESULTS: We observed a statistically significant difference in the kappa light chain over lambda light chain (κLC/λLC) ratios between patients with AD and controls (mean difference -0,409; % 95 CI:- 0.547 to -0.269; p<0.001). Our method demonstrated higher sensitivity (100.00%) and specificity (71.43%) for discrimination between AD and controls. CONCLUSION: We have developed a high-throughput screening test with a novel sample enrichment method for determining κLC/λLC ratios associated with AD diagnosis. Following further validation, we believe our test has the potential for clinical laboratories.
Asunto(s)
Palabras clave
Texto completo
Añadir a Mi BVS
Imprimir
XML
PubMed Links
Buscar en Google

Texto completo: 1 Colección: 01-internacional Base de datos: MEDLINE Asunto principal: Enfermedad de Alzheimer / Disfunción Cognitiva Tipo de estudio: Diagnostic_studies Límite: Humans Idioma: En Revista: Curr Alzheimer Res Asunto de la revista: NEUROLOGIA Año: 2022 Tipo del documento: Article País de afiliación: Turquía Pais de publicación: Emiratos Árabes Unidos
Texto completo
Añadir a Mi BVS
Imprimir
XML
PubMed Links
Buscar en Google

Texto completo: 1 Colección: 01-internacional Base de datos: MEDLINE Asunto principal: Enfermedad de Alzheimer / Disfunción Cognitiva Tipo de estudio: Diagnostic_studies Límite: Humans Idioma: En Revista: Curr Alzheimer Res Asunto de la revista: NEUROLOGIA Año: 2022 Tipo del documento: Article País de afiliación: Turquía Pais de publicación: Emiratos Árabes Unidos