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The goal of this study is to develop a novel, non-invasive, real-time photoacoustic imaging (PAI) technology for quantifying brown adipose tissue (BAT) and to investigate the differences in BAT morphology and metabolic function between healthy individuals and patients with metabolic syndrome.
The main questions it aims to answer are:
Both healthy adults and patients diagnosed with metabolic syndrome will be recruited. Participants will undergo PAI scans of BAT region under normal conditions and after cold exposure to assess BAT activation.
The ultimate goal is to validate this radiation-free PAI method as a convenient and effective tool for evaluating BAT metabolism, potentially aiding in early diagnosis and treatment monitoring of metabolic syndrome.
Full description
Brown adipose tissue (BAT) is a thermogenic organ that plays a beneficial role in whole-body metabolism by burning calories to generate heat. Its activity is inversely associated with obesity, insulin resistance, and metabolic syndrome. A key challenge in advancing BAT research and its clinical translation is the lack of a non-radiative, non-invasive imaging technique suitable for repeated use in both healthy and diseased populations. The current gold standard, [¹⁸F]FDG-PET/CT, involves ionizing radiation, limiting its application in longitudinal studies and healthy volunteer screening.
Photoacoustic imaging (PAI) is an emerging hybrid modality that combines high optical contrast with deep ultrasound penetration. It can uniquely quantify tissue composition by detecting intrinsic contrasts like lipids and hemoglobin, making it ideally suited for assessing BAT's lipid content, blood perfusion and vascular oxygenation, which are key aspects of its metabolic function.
The objectives of this study are:
Both healthy control group and the patient group will be recruited to undergo PAI scans targeting the supraclavicular BAT depots. All scans will be performed under normal conditions and a standardized cold exposure protocol to stimulate BAT activity. Quantitative PAI parameters (e.g., total hemoglobin, lipid concentration, oxygen saturation) will be extracted and compared between the Healthy Control group and the Patient group using appropriate statistical tests.
This study will not only develop a novel PAI technology for BAT imaging but also utilize it to directly investigate a critical biological question: how BAT differs between health and disease. By establishing PAI-based biomarkers that can distinguish these states, this research aims to provide a powerful, radiation-free tool for the early detection of metabolic dysfunction, risk stratification, and objective monitoring of therapeutic efficacy for insulin resistance and related metabolic syndrome.
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Inclusion and exclusion criteria
Criteria for Healthy Subjects:
(INCLUSION CRITERIA)
(EXCLUSION CRITERIA)
Criteria for Patients with Metabolic Syndrome and Insulin Resistance-Related Diseases:
(INCLUSION CRITERIA)
Age between 18 and 60 years.
Must meet 3 or more of the following criteria:
Patients diagnosed with Polycystic Ovary Syndrome (PCOS), defined as meeting two or more of the following criteria and excluding other endocrine diseases that could cause similar symptoms: hyperandrogenism, ovulatory dysfunction, polycystic ovary morphology.
(EXCLUSION CRITERIA)
Primary purpose
Allocation
Interventional model
Masking
100 participants in 2 patient groups
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Central trial contact
Meng Yang, Doctor
Data sourced from clinicaltrials.gov
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