Assessment of Metabolic Profiles of Lower Extremity Arterial Disease in Patiens Withe Type 2 Diabetes
Assessment of Metabolic Profiles of Lower Extremity Arterial Disease in Patiens Withe Type 2 Diabetes Via LC-MS-based Nontargeted Metabolomic Approach
Study Overview
Status
Status
Conditions
Conditions
Intervention / Treatment
Intervention / Treatment
Study Type
Study Type
Enrollment (Anticipated)
Enrollment
Contacts and Locations
Study Locations
-
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Chongqing
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Chongqing, Chongqing, China, 400042
- Recruiting
- The third hospital affiliated to the Third Military Medical University
-
Contact:
- Zhencheng Yan, MD
- Phone Number: 86-023-68757882
- Email: zhenchengyan@sina.com
-
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Participation Criteria
Eligibility Criteria
Eligibility Criteria
Ages Eligible for Study
Accepts Healthy Volunteers
Genders Eligible for Study
Sampling Method
Study Population
Description
Inclusion Criteria:
- age ranges from 18 to 100 years old
- Signed informed consent and agreed to participate in this study
- The diagnosis of T2DM is based on standard criteria recommended by WHO since 1999
- The diagnosis of T2DM patient with LEAD is based on standard criteria recommended by Chinese guideline on prevention and management of diabetic foot (2019 edition)(II).
Exclusion Criteria:
- younger than 18 years old or older than 100 years old
- acute infection during the preceding 3 months
- drugs or alcohol addicts
- cancer
- type 1 diabetes
- patients with mental abnormality who are uncooperative with this study
- pregnant or lactating women
- refuse to sign informed consent
Study Plan
How is the study designed?
Design Details
- Observational Models: Case-Control
- Time Perspectives: Cross-Sectional
Number of groups / cohorts
Cohorts and Interventions
Group / CohortGroup / Cohort |
Intervention / TreatmentIntervention / Treatment |
|---|---|
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Group1
Volunteers with normal glucose tolerance.
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Metabolomics is a rapidly evolving high-throughput technology that allows the measurement of the entire complement of metabolites generated by biochemical reactions under certain conditions in biological fluids or tissues.
This technology has been used extensively to identify biomarkers in various cancers, nervous system diseases, cardiovascular diseases, pituitary diseases, and other diseases.
The identification of biomarkers can be clinically useful for a more accurate diagnosis, prognosis, and treatment choice as well as disease monitoring.
Among mass spectrometry (MS) methods, liquid chromatography-mass spectrometry (LC-MS) has been recognized as a robust metabolomics tool and has been widely applied in metabolite identification and quantification due to its high sensitivity, peak resolution, and repro- ducibility.
Other Names:
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Group2
type 2 diabetic patients without microvascular (retinopathy, nephropathy or neuropathy) or macrovascular (coronary, cerebrovascular or lower extremity arterial disease) complications.
|
Metabolomics is a rapidly evolving high-throughput technology that allows the measurement of the entire complement of metabolites generated by biochemical reactions under certain conditions in biological fluids or tissues.
This technology has been used extensively to identify biomarkers in various cancers, nervous system diseases, cardiovascular diseases, pituitary diseases, and other diseases.
The identification of biomarkers can be clinically useful for a more accurate diagnosis, prognosis, and treatment choice as well as disease monitoring.
Among mass spectrometry (MS) methods, liquid chromatography-mass spectrometry (LC-MS) has been recognized as a robust metabolomics tool and has been widely applied in metabolite identification and quantification due to its high sensitivity, peak resolution, and repro- ducibility.
Other Names:
|
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Group3
type 2 diabetic patients with lower extremity artery disease diagnosed through the measurement of ABI (the ratio of ankle-to-brachial systolic blood pressure).
|
Metabolomics is a rapidly evolving high-throughput technology that allows the measurement of the entire complement of metabolites generated by biochemical reactions under certain conditions in biological fluids or tissues.
This technology has been used extensively to identify biomarkers in various cancers, nervous system diseases, cardiovascular diseases, pituitary diseases, and other diseases.
The identification of biomarkers can be clinically useful for a more accurate diagnosis, prognosis, and treatment choice as well as disease monitoring.
Among mass spectrometry (MS) methods, liquid chromatography-mass spectrometry (LC-MS) has been recognized as a robust metabolomics tool and has been widely applied in metabolite identification and quantification due to its high sensitivity, peak resolution, and repro- ducibility.
Other Names:
|
What is the study measuring?
Primary Outcome Measures
Primary Outcome Measures
Outcome Measure |
Measure Description |
Time Frame |
|---|---|---|
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Metabolic profiles of lower extremity artery disease
Time Frame: 4 months
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LC-MS analysis will be performed using a Q ExactiveTM HF-X liqiud chromatograph system coupled with a Thermo ScientificTM OrbitrapTM mass spectrometer according to a previously published procedure to detect the peak, identify the metabolites and perform the PCA and OPLS-DA analyses to better visualize the subtle similarities and differences among the complex datasets.
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4 months
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Secondary Outcome Measures
Secondary Outcome Measures
Outcome Measure |
Measure Description |
Time Frame |
|---|---|---|
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Potential biomarker analysis for discrimination
Time Frame: 4 months
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Screening for potential biomarkers will be performed according to the VIP value (VIP > 1.0) and significance test (P < 0.05) from the OPLS-DA model.
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4 months
|
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Pathway analysis of differential metabolites
Time Frame: 4 months
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Conducting pathway analysis for the significant metabolites identified by using MetaboAnalyst.
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4 months
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Collaborators and Investigators
Sponsor
Sponsor
Investigators
Investigators
- Study Director: Zhencheng Yan, MD, The third hospital affiliated to the Third Military Medical University
Publications and helpful links
Study record dates
Study Major Dates
Study Start (Actual)
Study Start
Primary Completion (Anticipated)
Primary Completion
Study Completion (Anticipated)
Study Completion
Study Registration Dates
First Submitted
First Submitted
First Submitted That Met QC Criteria
First Submitted That Met QC Criteria
First Posted (Actual)
First Posted
Study Record Updates
Last Update Posted (Actual)
Last Update Posted
Last Update Submitted That Met QC Criteria
Last Update Submitted That Met QC Criteria
Last Verified
Last Verified
More Information
Terms related to this study
Keywords
Additional Relevant MeSH Terms
Other Study ID Numbers
Other Study ID Numbers
- MP of LEAD
Drug and device information, study documents
Studies a U.S. FDA-regulated drug product
Studies a U.S. FDA-regulated device product
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