Quantitative Evaluation of Serum Proteins Uncovers a Protein Signature Related to Maturity-Onset Diabetes of the Young (MODY)
| Autor: | Muhadasi Tuerxunyiming, Yan Ren, Patamu Mohemaiti, Feng Xian, Jin Zi, Qidan Li, Yilihamujiang Yimamu, Reshalaiti Abuduwayite, Abulizi Abudula, Siqi Liu |
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| Rok vydání: | 2017 |
| Předmět: |
0301 basic medicine
Nonsynonymous substitution Male Proteomics medicine.medical_specialty Quantitative proteomics 030209 endocrinology & metabolism Type 2 diabetes Biology Biochemistry Maturity onset diabetes of the young 03 medical and health sciences 0302 clinical medicine Internal medicine Diabetes mellitus medicine Humans Family Genetics Type 1 diabetes General Chemistry Blood Proteins medicine.disease Blood proteins Pedigree 030104 developmental biology Endocrinology Diabetes Mellitus Type 2 Mutation Female |
| Zdroj: | Journal of proteome research. 17(1) |
| ISSN: | 1535-3907 |
| Popis: | Maturity-onset diabetes of the young (MODY) is an inherited monogenic type of diabetes. Genetic mutations in MODY often cause nonsynonymous changes that directly lead to the functional distortion of proteins and the pathological consequences. Herein, we proposed that the inherited mutations found in a MODY family could cause a disturbance of protein abundance, specifically in serum. The serum samples were collected from a Uyghur MODY family through three generations, and the serum proteins after depletion treatment were examined by quantitative proteomics to characterize the MODY-related serum proteins followed by verification using target quantification of proteomics. A total of 32 serum proteins were preliminarily identified as the MODY-related. Further verification test toward the individual samples demonstrated the 12 candidates with the significantly different abundance in the MODY patients. A comparison of the 12 proteins among the sera of type 1 diabetes, type 2 diabetes, MODY, and healthy subjects was conducted and revealed a protein signature related with MODY composed of the serum proteins such as SERPINA7, APOC4, LPA, C6, and F5. |
| Databáze: | OpenAIRE |
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