Your browser doesn't support javascript.
loading
Fast Label-Free Metabolic Profile Recognition Identifies Phenylketonuria and Subtypes.
Su, Haiyang; Zhang, Huiwen; Wu, Jiao; Huang, Lin; Zhang, Mengji; Xu, Wei; Cao, Jing; Liu, Wanshan; Liu, Ning; Jiang, Hongwei; Gu, Xuefan; Qian, Kun.
Afiliação
  • Su H; Henan Key Laboratory of Rare Diseases, Endocrinology and Metabolism Center, The First Affiliated Hospital, and College of Clinical Medicine of Henan University of Science and Technology, Luoyang, 471003, P. R. China.
  • Zhang H; State Key Laboratory of Systems Medicine for Cancer, School of Biomedical Engineering, Institute of Medical Robotics and Shanghai Academy of Experimental Medicine, Shanghai Jiao Tong University, Shanghai, 200030, P. R. China.
  • Wu J; Xinhua Hospital, School of Medicine, Shanghai Jiao Tong University, Shanghai, 200092, P. R. China.
  • Huang L; State Key Laboratory of Systems Medicine for Cancer, School of Biomedical Engineering, Institute of Medical Robotics and Shanghai Academy of Experimental Medicine, Shanghai Jiao Tong University, Shanghai, 200030, P. R. China.
  • Zhang M; Country Department of Clinical Laboratory Medicine, Shanghai Chest Hospital, Shanghai Jiao Tong University, Shanghai, 200030, P. R. China.
  • Xu W; State Key Laboratory of Systems Medicine for Cancer, School of Biomedical Engineering, Institute of Medical Robotics and Shanghai Academy of Experimental Medicine, Shanghai Jiao Tong University, Shanghai, 200030, P. R. China.
  • Cao J; State Key Laboratory for Oncogenes and Related Genes, Division of Cardiology, Renji Hospital, School of Medicine, Shanghai Jiao Tong University, Shanghai, 200127, P. R. China.
  • Liu W; State Key Laboratory of Systems Medicine for Cancer, School of Biomedical Engineering, Institute of Medical Robotics and Shanghai Academy of Experimental Medicine, Shanghai Jiao Tong University, Shanghai, 200030, P. R. China.
  • Liu N; Xinhua Hospital, School of Medicine, Shanghai Jiao Tong University, Shanghai, 200092, P. R. China.
  • Jiang H; School of Electronics Information and Electrical Engineering, Shanghai Jiao Tong University, Shanghai, 200240, P. R. China.
  • Gu X; Henan Key Laboratory of Rare Diseases, Endocrinology and Metabolism Center, The First Affiliated Hospital, and College of Clinical Medicine of Henan University of Science and Technology, Luoyang, 471003, P. R. China.
  • Qian K; Xinhua Hospital, School of Medicine, Shanghai Jiao Tong University, Shanghai, 200092, P. R. China.
Adv Sci (Weinh) ; 11(15): e2305701, 2024 Apr.
Article em En | MEDLINE | ID: mdl-38348590
ABSTRACT
Phenylketonuria (PKU) is the most common inherited metabolic disease in humans. Clinical screening of newborn heel blood samples for PKU is costly and time-consuming because it requires multiple procedures, like isotope labeling and derivatization, and PKU subtype identification requires an additional urine sample. Delayed diagnosis of PKU, or subtype identification can result in mental disability. Here, plasmonic silver nanoshells are used for laser desorption/ionization mass spectrometry (MS) detection of PKU with label-free assay by recognizing metabolic profile in dried blood spot (DBS) samples. A total of 1100 subjects are recruited and each DBS sample can be processed in seconds. This platform achieves PKU screening with a sensitivity of 0.985 and specificity of 0.995, which is comparable to existing clinical liquid chromatography MS (LC-MS) methods. This method can process 360 samples per hour, compared with the LC-MS method which processes only 30 samples per hour. Moreover, this assay enables precise identification of PKU subtypes without the need for a urine sample. It is demonstrated that this platform enables high-performance and fast, low-cost PKU screening and subtype identification. This approach might be suitable for the detection of other clinically relevant biomarkers in blood or other clinical samples.
Assuntos
Palavras-chave

Texto completo: 1 Coleções: 01-internacional Base de dados: MEDLINE Assunto principal: Fenilcetonúrias Limite: Humans / Newborn Idioma: En Revista: Adv Sci (Weinh) Ano de publicação: 2024 Tipo de documento: Article

Texto completo: 1 Coleções: 01-internacional Base de dados: MEDLINE Assunto principal: Fenilcetonúrias Limite: Humans / Newborn Idioma: En Revista: Adv Sci (Weinh) Ano de publicação: 2024 Tipo de documento: Article