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RecruitingNCT07908719BAT-PACTUpdated Nov 2, 2026

A Multi-modal Cohort Study of Brown Adipose Tissue Based on Paired Comparisons at Room Temperature and After Cold Exposure

An observational study in Brown Adipose Tissue, Human, sponsored by Jinling Hospital, China. Recruiting at 1 site in China. Open to participants aged 18 Years to 40 Years, including healthy volunteers. Per ClinicalTrials.gov, last updated 2026-11-02.

Sponsored by Jinling Hospital, China · Observational

Updated Nov 2, 2026Newly registeredGo to Updates ↓
Study type
Observational
Model
Cohort
Time perspective
Prospective
Enrollment
500
Ages
18 Years to 40 Years
Sex
All
01

Study summary

This study is a single-center, prospective clinical study that plans to prospectively recruit volunteers aged 18-40 years, including metabolically healthy individuals and those with diabetes mellitus and hyperlipidemia. Participants will undergo [¹⁸F]fluorodeoxyglucose positron emission tomography/computed tomography ([¹⁸F]FDG PET/CT) scans both at room temperature and after cold exposure. The planned sample size is 500 participants. The study will systematically collect baseline data, questionnaire responses, [¹⁸F]FDG PET/CT images acquired under both conditions, as well as saliva and blood samples.

The study aims to establish a clinical-imaging-biological multimodal brown adipose tissue (BAT) cohort with paired pre- and post-cold exposure comparisons. Based on this cohort, we expect to achieve new breakthroughs in BAT detection methods, assessment criteria, and the understanding of its genetic mechanisms.

Read the detailed description

Brown adipose tissue (BAT) is a beneficial fat that expends energy through non-shivering thermogenesis and enhances metabolic health. It reduces serum cholesterol and triglyceride levels, attenuates atherosclerosis, and confers cardiovascular protection via endocrine pathways. While current clinical research predominantly focuses on the fully activated state following cold stimulation, human BAT remains in an unactivated or partially activated state for the majority of the time. Assessing BAT activity at room temperature, along with its potential activatable volume, may better reflect its physiological function under real-life conditions and provide superior predictive value for the prognosis of cardiometabolic diseases. Furthermore, inter-individual variability in BAT activity is collectively influenced by genetic, epigenetic, metabolic, and environmental factors. Owing to the lack of universally applicable detection modalities, establishing a large-scale, high-precision imaging-biological multimodal database remains challenging, which consequently constrains the screening of susceptibility genes and the discovery of serum protein biomarkers. This study aims to establish a clinical-imaging-biological multimodal BAT cohort with paired pre- and post-cold exposure comparisons. Using images from this cohort, we will train segmentation models capable of identifying BAT in both activated and resting states. Combined with participants' demographic information, dietary habits, physical activity, and other factors, we will explore the determinants of resting-state BAT activity and its potential activation capacity. By comparing saliva and blood samples collected at room temperature and after cold exposure, we will screen for BAT-related genetic loci and serum proteomic profiles.

In this study, participants will undergo [¹⁸F]fluorodeoxyglucose positron emission tomography/computed tomography ([¹⁸F]FDG PET/CT) scans both at room temperature and after cold exposure and systematically collect baseline data, questionnaire responses, [¹⁸F]FDG PET/CT images acquired under both conditions, as well as saliva and blood samples. Ultimately, based on this cohort, we expect to achieve new breakthroughs in BAT detection methods, assessment criteria, and the understanding of its genetic mechanisms.

02

Conditions studied

  • Brown Adipose Tissue, Human
03

In context

Lead sponsor

Jinling Hospital, China is the lead sponsor of 131 studies on the registry; 35 are open to participants now.

Counted across the registry records on this site, refreshed daily.

04

Who can participate

Ages eligible
18 Years to 40 Years
Sexes eligible
All
Accepts healthy volunteers
Yes
Sampling method
Non-probability sample

Study population

Participants aged 18-40 years who have no history of major diseases (such as tumors, endocrine disorders, etc., as determined by the investigator), have had stable weight over the past 3 months (weight change \< 3 kg), and have not taken β-blockers or benzodiazepines.

Go through the criteria one by one — yes, no or not sure — and take the list to your doctor or the study team. Kept in this browser only.

Inclusion criteria

  • Aged 18 to 40 years, regardless of sex;
  • Stable body weight within the past 3 months, with a weight change of \< 3 kg;
  • Able to tolerate the cold exposure test (without severe cold allergy, Raynaud's phenomenon, cold urticaria, or other related conditions).

Exclusion criteria

Exclusion Criteria:

  • Any diagnosed chronic metabolic disease (excluding diabetes mellitus and hyperlipidemia); no major organic diseases (including but not limited to cardiovascular, respiratory, endocrine, neuropsychiatric disorders) and no history of
  • Pregnant women, breastfeeding women, or those planning to become pregnant during the study period;
  • Use of β-blockers (e.g., propranolol), benzodiazepines (e.g., diazepam), or other medications that may affect brown adipose tissue metabolism (such as , sympathomimetic agents, some antidepressants, etc.) within the past 4 weeks, as determined by the investigator;
  • Presence of to PET-CT examination (e.g., claustrophobia, inability to remain supine for 30 minutes, allergy to FDG, etc.);
Terms in these criteria, in plain language(3)

Underlined terms in the criteria open these too. Explained by clinicaltrials.gg, not part of the registry record. The study team decides who can take part.

Cancer (malignancy)

Malignancy means cancer. Criteria about another or earlier malignancy ask whether you have had a different cancer, usually within a set number of years.

Some are commonly allowed, such as treated skin cancers other than melanoma and early cancers removed completely — check the exceptions this study lists.

Corticosteroids (steroids)

Anti-inflammatory medicines such as prednisone, prednisolone and dexamethasone — not the anabolic steroids used for muscle.

Studies differ in what they allow: check which steroid medicines, routes (tablets, injections, creams, inhalers, eye drops) and doses this study accepts.

Contraindication

A reason a treatment, test or procedure should not be given to a particular person, such as an allergy, another illness or a medicine they take.

05

Study design

Observational model
Cohort
Time perspective
Prospective
Enrollment
500 participants (estimated)
Target follow-up
2 Weeks
Patient registry
Yes
Biospecimen retention
Samples with dna

Groups and cohorts

  • BAT-PAIR cohort

    The participant will undergo PET-CT scanning under both room-temperature and post-cold-exposure conditions.

    Other: cold exposure

Interventions

  • Othercold exposure

    Participants will undergo saliva and blood collection and complete PET-CT scans both at room temperature and after cold exposure. The room-temperature PET-CT scan will be performed according to routine clinical protocols without the need for additional oral or injectable medications. For the post-cold-exposure scan, participants will only need to receive 2 hours of moderate cold exposure prior to the scan to adequately activate brown adipose tissue (they will be arranged to rest in a room maintained at 16-19 °C).

06

What researchers measure

Primary outcomes

  1. brown adipose tissue at baseline

    The volume of brown adipose tissue at room-temperature. BAT was diagnosed on ¹⁸F-FDG PET-CT according to BARCIST 1.0, defined as areas with SUVbm ≥ 1.5 on PET and CT Hounsfield units between -190 and -10, after excluding obvious non-fat tissues within this range such as lung.

    Time frame: Baseline at room-temperature

  2. brown adipose tissue at baseline

    The SUVmax of brown adipose tissue at room-temperature. BAT was diagnosed on ¹⁸F-FDG PET-CT according to BARCIST 1.0, defined as areas with SUVbm ≥ 1.5 on PET and CT Hounsfield units between -190 and -10, after excluding obvious non-fat tissues within this range such as lung.

    Time frame: Baseline at room-temperature

  3. brown adipose tissue at baseline

    The SUVmean of brown adipose tissue at room-temperature. BAT was diagnosed on ¹⁸F-FDG PET-CT according to BARCIST 1.0, defined as areas with SUVbm ≥ 1.5 on PET and CT Hounsfield units between -190 and -10, after excluding obvious non-fat tissues within this range such as lung.

    Time frame: Baseline at room-temperature

  4. brown adipose tissue after cold exposure

    The volume of brown adipose tissue after 2-hour cold exposure. BAT was diagnosed on ¹⁸F-FDG PET-CT according to BARCIST 1.0, defined as areas with SUVbm ≥ 1.5 on PET and CT Hounsfield units between -190 and -10, after excluding obvious non-fat tissues within this range such as lung.

    Time frame: After 2-hour cold exposure within 2 weeks

  5. brown adipose tissue after cold exposure

    The SUVmax of brown adipose tissue after 2-hour cold exposure. BAT was diagnosed on ¹⁸F-FDG PET-CT according to BARCIST 1.0, defined as areas with SUVbm ≥ 1.5 on PET and CT Hounsfield units between -190 and -10, after excluding obvious non-fat tissues within this range such as lung.

    Time frame: After 2-hour cold exposure within 2 weeks

  6. brown adipose tissue after cold exposure

    The SUVmean of brown adipose tissue after 2-hour cold exposure. BAT was diagnosed on ¹⁸F-FDG PET-CT according to BARCIST 1.0, defined as areas with SUVbm ≥ 1.5 on PET and CT Hounsfield units between -190 and -10, after excluding obvious non-fat tissues within this range such as lung.

    Time frame: After 2-hour cold exposure within 2 weeks

Secondary outcomes

  1. Smoking history

    Smoking history was assessed using a structured questionnaire that recorded current smoking status or former smoking, age at smoking initiation, and pack-years, calculated as cigarettes per day ÷ 20 × years of smoking.

    Time frame: Baseline

  2. Alcohol history

    A structured alcohol history questionnaire was used to assess long-term drinking status, alcohol cessation, age at first drink, amount consumed per drinking occasion, and drinking patterns.

    Time frame: baseline

  3. Dietary habits

    Dietary habits were assessed using the China Kadoorie Biobank (CKB) food frequency questionnaire (FFQ), which covers staple foods, vegetables, meat products, dairy products, preserved foods, and nuts, among other food groups.

    Time frame: baseline

  4. Physical activity

    Physical activity was assessed using the International Physical Activity Questionnaire-Short Form (IPAQ-SF) , which asks about walking, moderate-intensity, and vigorous-intensity activity during the last 7 days. Total physical activity was expressed as MET-minutes per week and further categorized into low, moderate, or high levels according to the IPAQ scoring protocol.

    Time frame: baseline

  5. Life quality

    Health-related quality of life was assessed using the EuroQol 5-Dimension 5-Level (EQ-5D-5L) . The instrument comprises a 5-dimension descriptive system (mobility, self-care, usual activities, pain/discomfort, and anxiety/depression), each rated on 5 levels (1 = no problems to 5 = extreme problems/unable to perform), and a visual analogue scale (EQ-VAS) ranging from 0 (worst imaginable health) to 100 (best imaginable health) .

    Time frame: baseline

  6. Anxiety

    Anxiety was assessed using the Generalized Anxiety Disorder-7 (GAD-7) , a 7-item self-report scale. Each item is rated on a 4-point scale (0 = not at all, 1 = several days, 2 = more than half the days, 3 = nearly every day), yielding a total score ranging from 0 to 21, with higher scores indicating greater anxiety severity. Scores of 5, 10, and 15 were used as cut-offs for mild, moderate, and severe anxiety, respectively.

    Time frame: baseline

  7. Cognition

    Cognition was assessed using the Subjective Cognitive Decline Questionnaire-9 (SCD-Q9) , a 9-item self-report scale covering overall memory and temporal comparison (4 items) and daily activity ability (5 items) . Each item is scored 0 (no/never), 0.5 (occasionally), or 1 (yes/often), yielding a total score ranging from 0 to 9, with higher scores indicating more severe subjective cognitive decline. A score of ≥5 was used to define the presence of SCD.

    Time frame: baseline

  8. Sleep quality

    Sleep quality was assessed using the Pittsburgh Sleep Quality Index (PSQI) , a 19-item self-report questionnaire covering the past month. The 19 items are grouped into seven components (subjective sleep quality, sleep latency, sleep duration, habitual sleep efficiency, sleep disturbance, use of sleep medication, and daytime dysfunction), each scored 0 (no difficulty) to 3 (severe difficulty) . The seven component scores are summed to yield a global score ranging from 0 to 21, with higher scores indicating worse sleep quality. A global score of \>7 was used to define poor sleep quality.

    Time frame: baseline

07

Study locations

1 of 1 sites recruiting
08

References and documents

Individual participant data

Plan to share: No

No publications or documents are linked to this record.

09

Updates

1 registry update since Sep 25, 2026
Registered
First appeared on the registry. No changes since
Nov 2, 2026
Show all 1 update
  1. Nov 2, 2026
    First appeared on the registry

From the registry record's own update history. This site started tracking changes on Sep 25, 2026; for anything earlier, see the record history on ClinicalTrials.gov ↗

10

Registry details

Key details

Study ID
NCT07908719
Responsible party
Zhang longjiang,MD (Professor, Jinling Hospital, China) — Principal investigator
First posted
Nov 2, 2026
Start date
Oct 1, 2026 (estimated)
Primary completion
Dec 31, 2028 (estimated)
Completion
Dec 31, 2028 (estimated)
Last update
Nov 2, 2026

Study contacts

Longjiang Zhang, MD
Contact
kevinzhlj@163.com
+8613405833167
Junhao Li, MD
Contact
lijunhao1209@163.com
+8615380874596

Oversight

Data monitoring committee
Yes
FDA-regulated drug
No
FDA-regulated device
No
View the source record on ClinicalTrials.gov ↗

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