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: 1. Can PAI technology quantify BAT metabolic function and establish standardized PAI parameters for BAT assessment? 2. Can PAI parameters distinguish the BAT characteristics of healthy volunteers from patients with metabolic syndrome? 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.
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: 1. To develop and technically optimize a non-invasive, real-time PAI protocol for quantitative characterization of human BAT morphology and metabolic function. 2. To establish a set of standardized, quantitative PAI parameters (e.g., related to blood perfusion, lipid composition, blood oxygen saturation) for BAT assessment. 3. To compare the baseline PAI parameters of BAT between healthy volunteers and patients with metabolic syndrome. 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.
Study Type
INTERVENTIONAL
Allocation
RANDOMIZED
Purpose
DIAGNOSTIC
Masking
SINGLE
Enrollment
100
Participants will undergo multi-wavelength PAI scans of BAT region under normal conditions and after 30-60 mins cold exposure to assess BAT activation.
Participants will undergo multi-wavelength PAI scans of BAT region under normal conditions and after 30-60 mins cold exposure to assess BAT activation.
Peking Union Medical College Hospital
Beijing, China
RECRUITINGChange in photoacoustic imaging (PAI)-derived total hemoglobin concentration within brown adipose tissue (BAT) after cold exposure.
The concentration of total hemoglobin (a.u.) within the BAT region of interest will be measured using a co-registered photoacoustic and ultrasound (PA/US) imaging system. The change (Δ) will be calculated as the value after a standardized cold exposure divide the value at baseline.
Time frame: Baseline and immediately after a standardized 0.5-1 hour cold exposure procedure
Change in photoacoustic imaging (PAI)-derived lipid concentration within brown adipose tissue (BAT) after cold exposure
The lipid concentration (a.u.) within the BAT region of interest will be measured using a co-registered photoacoustic and ultrasound (PA/US) imaging system. The change (Δ) will be calculated as the value after a standardized cold exposure minus the value at baseline.
Time frame: Baseline and immediately after a standardized 0.5-1hour cold exposure procedure.
Change in photoacoustic imaging (PAI)-derived oxygen saturation within brown adipose tissue (BAT) after cold exposure
The oxygen saturation (in %) within the BAT region of interest will be measured using a co-registered photoacoustic and ultrasound (PA/US) imaging system. The change (Δ) will be calculated as the value after a standardized cold exposure minus the value at baseline.
Time frame: Baseline and immediately after a standardized 0.5-1 hour cold exposure procedure.
Difference between healthy volunteers and patients with metabolic syndrome in the cold-induced change of photoacoustic imaging (PAI)-derived total hemoglobin concentration within brown adipose tissue (BAT).
The change (Δ) in total hemoglobin concentration (a.u.) after cold exposure (as defined in Outcome 1) will be compared between healthy volunteers and patients diagnosed with metabolic syndrome.
Time frame: Through study completion, an average of 24 months.
Difference between healthy volunteers and patients with metabolic syndrome in the cold-induced change of photoacoustic imaging (PAI)-derived lipid concentration within brown adipose tissue (BAT)
The change (Δ) in lipid concentration (a.u.) after cold exposure (as defined in Outcome 2) will be compared between healthy volunteers and patients diagnosed with metabolic syndrome.
Time frame: Through study completion, an average of 24 months
Difference between healthy volunteers and patients with metabolic syndrome in the cold-induced change of photoacoustic imaging (PAI)-derived oxygen saturation within brown adipose tissue (BAT)
The change (Δ) in oxygen saturation (in %) after cold exposure (as defined in Outcome 3) will be compared between healthy volunteers and patients diagnosed with metabolic syndrome.
Time frame: Through study completion, an average of 24 months
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