Protein biochip-based semiquantitative detection for plasma leptin
| Autor: | Da-Wei Song, Cheng-Yun Cai, Lei Ye, Yuan Hu, Zhen-Shan Xu, Fei-Hong Xu, Wei-Dong Du |
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| Rok vydání: | 2016 |
| Předmět: |
0301 basic medicine
Adult Leptin Male medicine.medical_specialty Clinical Biochemistry Protein Array Analysis Adipose tissue 030209 endocrinology & metabolism 03 medical and health sciences Young Adult 0302 clinical medicine Limit of Detection Diabetes mellitus Internal medicine medicine Humans Biochip Plasma samples business.industry Antibodies Monoclonal Elisa assay Middle Aged medicine.disease Obesity 030104 developmental biology Endocrinology Female business Body mass index Blood Chemical Analysis |
| Zdroj: | Proteomics. Clinical applications. 11(5-6) |
| ISSN: | 1862-8354 |
| Popis: | PURPOSE Plasma leptin is secreted from adipose tissues and plays pivotal roles in human physiological and pathological processes. Here, we aimed at conducting a protein biochip-based sandwich-like approach for detection of plasma leptin among healthy individuals, obesity, and diabetes patients. EXPERIMENTAL DESIGN Totally, 96 plasma samples, including 45 healthy individuals with standard body mass index (BMI), 28 obesity and 23 diabetes patients, were recruited in the study. Plasma leptin was detected by a well-established protein biochip. Meanwhile an ELISA was also performed for assessment of the leptin detection by the protein biochip. RESULTS We found that the plasma leptin level in the obesity and diabetes patients was significantly higher than that in healthy individuals with standard body mass index (p < 0.001). The limit detection concentration of leptin was as low as 0.006 μg/mL. The plasma leptin could be semiquantitatively detected by the protein biochip. The compatibility of the biochip-based detection approach seemed acceptable in comparison with the ELISA assay (R2 = 0.948). CONCLUSIONS We provided a protein biochip-based approach for plasma detection. This approach would be a potential substitution for the ELISA assay. |
| Databáze: | OpenAIRE |
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