Profiling Plasma Peptides for the Identification of Potential Ageing Biomarkers in Chinese Han Adults

School of Public Health and Family Medicine, Capital Medical University, Beijing, People's Republic of China.
PLoS ONE (Impact Factor: 3.23). 07/2012; 7(7):e39726. DOI: 10.1371/journal.pone.0039726
Source: PubMed


Advancing age is associated with cardiovascular disease, diabetes mellitus and cancer, and shows significant inter-individual variability. To identify ageing-related biomarkers we performed a proteomic analysis on 1890 Chinese Han individuals, 1136 males and 754 females, aged 18 to 82 years, using weak cation exchange magnetic bead based MALDI-TOF-MS analysis. The study identified 44 peptides which varied in concentration in different age groups. In particular, apolipoprotein A-I (ApoA1) concentration gradually increased between 18 to 50 years of age, the levels of fibrinogen alpha (FGA) decreased over the same age span, while albumin (ALB) was significantly degraded in middle-aged individuals. In addition, the plasma peptide profiles of FGA and four other unidentified proteins were found to be gender-dependent. Plasma proteins such as FGA, ALB and ApoA1 are significantly correlated with age in the Chinese Han population and could be employed as indicative ageing-related biomarkers.

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    • "It is also well recognized that biomarkers which may play important roles in physiologic and pathologic processes are important for diagnosis, prognosis, and prediction of HCC. Human serum contains LMW protein/peptides, which could be used as biomarker candidates,such as fibrinogen α-chain fibrinogen alpha, albumin and apolipoprotein A1 [27,28]. "
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    ABSTRACT: Hepatocellular carcinoma (HCC) is one of the most common cancers in the world,and the identification of biomarkers for the early detection is a relevant target. The purpose of the study is to discover specific low molecular weight (LMW) serum peptidome biomarkers and establish a diagnostic pattern for HCC. We undertook this pilot study using a combined application of magnetic beads with Matrix-assisted laser desorption/ionization time-of-flight mass spectrometry (MALDI-TOF MS) technique and ClinPro Tools v2.2 to detect 32 patients with HCC, 16 patients with chronic hepatitis (CH), 16 patients with liver cirrhosis (LC) and 16 healthy volunteers. The results showed 49, 33, and 37 differential peptide peaks respectively appeared in HCC, LC and CH groups. A Supervised Neural Network (SNN) algorithm was used to set up the classification model. Eleven of the identified peaks at m/z 5247.62, 7637.05, 1450.87, 4054.21, 1073.37, 3883.64, 5064.37, 4644.96, 5805.51, 1866.47 and 6579.6 were used to construct the peptides patterns. According to the model, we could clear ly distinguish between HCC patients and healthy controls as well as between LC or CH patients and healthy controls. The study demonstrated that a combined application of magnetic beads with MALDI-TOF MB technique was suitable for identification of potential serum biomarkers for HCC and it is a promising way to establish a diagnostic pattern. Virtual slides: The virtual slide(s) for this article can be found here:
    Diagnostic Pathology 08/2013; 8(1):130. DOI:10.1186/1746-1596-8-130 · 2.60 Impact Factor
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    • "Effective intervention on SHS may be a cost-effective way for preventing chronic diseases. One critical premise of disease-related biomarkers (genomics, proteomics, glycomics and metabolomics) is also the key for the early diagnosis and prevention and management of suboptimal health [21,22]. "
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    Clinical and Translational Medicine 11/2012; 1(1):28. DOI:10.1186/2001-1326-1-28
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    PROTEOMICS - CLINICAL APPLICATIONS 08/2013; 7(7-8). DOI:10.1002/prca.201200138 · 2.96 Impact Factor
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