Clinical Verification of Peptide Biomarkers for Human Aging

Completed

• Conditions: Aging

• Registration Number: NCT02166307
• Lead Sponsor: Beijing Institute of Technology

Brief Summary

Aging in human physically refers to a multidimensional process that all the changes were accumulated in a person over time. These aging changes are responsible for the progressive increases in the chance of disease and death associated with them. So far, there are several theories have been developed to understand the aging process, such as cross-linking, which is led by Maillard Reactions. Maillard Reaction is a complex series of reactions between reducing sugar/aldehydes and amino groups on proteins. Under physiological conditions, aldehydes are products of various exogenous and endogenous amines catalyzed by semicarbazide-sensitive amine oxidase (SSAO), a family of heterogeneous enzyme. It was reported that SSAO shows a significant higher catalytic activity, producing more aldehydes in age-related diseases. However, SSAO is not a perfect candidate to be monitored for evaluating aging, because it is widely distributed in tissues, which are not readily accessible sample-sources for clinical applications. In this work, the investigators have found 6 biomarker candidates by developing a standard-free, label-free MS-based proteomics method based on standard protein (human serum albumin, the highest abundance protein in human plasma) model in vitro. Then, the investigators wanted to verify these biomarker candidates by clinical plasma samples to see if there is significant quantitative difference among people with different ages.

Detailed Description

The procedure of clinical study was:

1. to get plasma samples from hospital;

2. digestion of plasma protein-mixture by trypsin in lab;

3. run mass spectrometry and monitor the amount of target HSA-peptides.

Study Timeline

• Study Start: 2009-01
• Primary Completion: 2011-12
• Study Completion: 2011-12
• Status Verified: 2014-06
• Study First Submitted: 2014-06-16
• Study First Submitted QC: 2014-06-17
• Last Update Submitted: 2014-06-17
• Study First Posted: 2014-06-18
• Last Update Posted: 2014-06-18

Recruitment & Eligibility

• Status: COMPLETED
• Sex: All
• Target Recruitment: 253

Inclusion Criteria

• Cases with different ages

Exclusion Criteria

• Cases with Diabetes Mellitus and Hepatitis B

Study & Design

• Study Type: OBSERVATIONAL
• Study Design: Not specified

Primary Outcome Measures

Name	Time	Method
measurement of the amount of plasma peptides	two years	The investigators have found 6 biomarker candidates by developing a standard-free, label-free MS-based proteomics method based on standard protein (human serum albumin, the highest abundance protein in human plasma) model in vitro. Then, the investigators wanted to verify these biomarker candidates by clinical plasma samples to see if there is significant quantitative difference among people with different ages.