Clinical Verification of Peptide Biomarkers for Human Aging

NCT ID: NCT02166307

Last Updated: 2014-06-18

Basic Information

• Recruitment Status: COMPLETED
• Total Enrollment: 253 participants
• Study Classification: OBSERVATIONAL
• Study Start Date: 2009-01-31
• Study Completion Date: 2011-12-31

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.

Conditions

Aging

Study Design

• Observational Model Type: CASE_ONLY
• Study Time Perspective: RETROSPECTIVE

Eligibility Criteria

Inclusion Criteria

• Cases with different ages

Exclusion Criteria

• Cases with Diabetes Mellitus and Hepatitis B

• Minimum Eligible Age: 23 Years
• Maximum Eligible Age: 72 Years
• Eligible Sex: ALL
• Accepts Healthy Volunteers: Yes

Sponsors

Beijing Institute of Technology

OTHER

Sponsor Role: lead

Responsible Party

Yulin Deng

Dean of School of Life Science

Responsibility Role: PRINCIPAL_INVESTIGATOR

Principal Investigators

Yulin Deng, Ph.D

Role: PRINCIPAL_INVESTIGATOR

School of Life Science, BIT

Other Identifiers

deng02

Identifier Type: -

Identifier Source: org_study_id