ClinicalTrials.gg
Active, not recruitingNCT05050240Updated May 27, 2026

BATokines as Biomarkers of Brown Fat in Humans

An interventional study of Cooling Vest Procedure and Fasting overnight in Healthy Lifestyle, sponsored by Rockefeller University. Active, not recruiting at 1 site in United States. Open to participants aged 18 Years to 28 Years, including healthy volunteers. Per ClinicalTrials.gov, last updated 2026-05-27.

Sponsored by Rockefeller University · Not applicable, Interventional, and Basic science

Phase
Not applicable
Study type
Interventional
Enrollment
20
Allocation
Non-randomized
Ages
18 Years to 28 Years
Sex
All
01

Study summary

Brown adipose tissue (BAT) burns excess calories to produce heat in response to environmental cold. Rapidly growing evidence from rodent and human studies suggests that the presence and activation of brown fat are far more beneficial for whole body metabolism and cardiometabolic health than previously appreciated. Despite the clear associations between brown fat and metabolic health, we lack both: cost-effective means of detecting brown fat in humans as well as comprehensive insights into how brown fat facilitates metabolism on a molecular level in humans.

Emerging evidence suggests that the benefits of brown fat activation are mediated, at least in part, by secretion of specific molecules into the bloodstream which signal to metabolically active organs such as skeletal muscle, liver and brain. A number of these so-called brown adipokines (or BATokines) have now been discovered in mice and shown to positively impact glucose homeostasis, liver and muscle function. Human deep-neck brown fat biopsies reveal that >1000 molecules could potentially be secreted from brown fat, and >400 are released by human brown fat cells in a dish, representing a major opportunity for discovery of high translational value.

Here, we aim to identify a screen of first potential blood biomarkers of brown fat in healthy young humans. This will be achieved by analyzing plasma proteins in subjects with 'inactive brown fat' (warm) and 'activated brown fat' (3-hr cold exposure, cooling vests) using high-throughput technologies (SOMAscan and O-link) to identify temperature-sensitive brown fat-enriched molecules. This preliminary data will guide a larger follow up study in which we envision studying lean and obese (insulin sensitive and insulin resistant) subjects of various age groups and race/ethnicity. Human BATokines identified here will become primary targets for manipulation in experimental animals to assess their therapeutic potential against obesity, T2D, and associated diseases. Additionally, since current methods of brown fat detection in human rely on deep neck biopsies or costly 18-FDG-PET/CT scans, identification of blood biomarkers of brown fat would offer a cost-effective and non-invasive alternative for prediction of metabolic health in humans.

Read the detailed description

Fat plays a fundamental role in regulating metabolic health due to its capacity to store excess calories (white adipose tissue; WAT) or burn them to produce heat (brown adipose tissue, BAT). While white fat cells are located in deposits beneath the skin (subcutaneous) or around the internal organs (visceral) and expand with obesity, brown fat cells reside predominantly in the deep neck area and have evolved to turn fuel into heat (a process termed thermogenesis) when activated by environmental cold. This calorie-burning property of BAT suggest it is a type of 'good fat' which may protect us from conditions such as obesity. A wealth of mouse data confirms that activation of BAT via cold exposure provides significant health benefits to experimental animals, including protection from diet-induced obesity and improved glucose metabolism. BAT has only recently been detected in adult humans, which has led to efforts to understand its physiology and investigate whether its activity can be manipulated to treat metabolic diseases. Notably, in addition to storing or burning fat, adipose tissue secretes a large number of hormone-like factors into the bloodstream, known to affect blood glucose levels and insulin sensitivity (adiponectin, adipsin) as well as appetite and energy expenditure (leptin). Although many such factors have been identified in white fat, little is known about the proteins secreted from brown fat, particularly in humans.

In a recent study of 52,000 patients with 18-FDG-PET/CT scans to identify the presence of brown fat, we found that BAT+ individuals had significantly reduced odds of type 2 diabetes (T2D), coronary artery disease, and congestive heart failure, compared to matched individuals who did not have brown fat. A smaller independent study demonstrated that short-term activation of BAT with cooling jackets significantly improved insulin sensitivity in T2D patients. These findings collectively reveal that BAT carries extraordinary potential to impact metabolic health in humans.

Metabolic benefits linked with BAT cannot be explained by the generation of heat (thermogenesis) alone. Emerging evidence suggests that BAT secretes specific molecules into the bloodstream. A number of these so-called brown adipokines (or BATokines) have now been discovered in mice and shown to positively impact whole body glucose metabolism and liver function, reducing the susceptibility to metabolic disease. However, the 'secretome' of brown fat has not been well studied in humans, and hence the relevance of these BATokines to our physiology remains unclear. In support of this unexplored research avenue, gene expression data from deep-neck BAT biopsies reveal that >1,000 molecules could potentially be secreted from BAT in humans, and 431 were identified as being released from human BAT cells in a dish, but a comprehensive validation of these proteins in blood samples of participants with activated BAT is lacking.

The aim of this study is to identify a panel of plasma proteins induced by activation of brown fat in young healthy human participants and provide pilot data for a larger biomarker study. We will employ novel unbiased multiplex tools to identify up to 7,000 unique proteins of various abundances, in subjects before and after cooling. Using these data, we will be able to identify common circulating factors that correlate with BAT activation, and subsequently compare them with pre-existing gene expression data to find polypeptides secreted, shedded or otherwise released specifically by BAT. While this study will focus on the identification of proteins, we also have the potential to survey small molecule metabolites secreted into the circulation. This list of BATokines will become instrumental for validation and retro-translation of mouse data from our lab and the larger scientific community interested in the metabolic benefits conveyed by BAT. In addition to the discovery of potential therapeutic targets, the blood screen may become a valuable data platform for clinical biomarkers of brown fat. Since current methods of BAT detection in human rely on deep neck biopsies and/or costly 18-FDG-PET/CT scans, identification of blood factors that circulate proportionally to BAT activity or correlate with the presence or amount of BAT would offer a cost-effective, non-invasive alternative in human participants.

02

Conditions studied

  • Healthy Lifestyle

Keywords

  • metabolism
  • cold exposure
  • brown fat
  • blood biomarkers
03

In context

Lead sponsor

Rockefeller University is the lead sponsor of 123 studies on the registry; 3 are open to participants now.

Of its 14 completed or terminated interventional studies of FDA-regulated products, 6 (43%) have results posted.

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

04

Who can participate

Ages eligible
18 Years to 28 Years
Sexes eligible
All
Accepts healthy volunteers
Yes

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

  • Age between 18 and 28
  • >19 and \< 25

Exclusion criteria

Exclusion Criteria:

  • Diabetes type I or II (self-report)
  • Diagnosis of thyroid disease (including goiter, hyperthyroidism, hypothyroidism, thyroiditis) (self-report)
  • Diagnosis with cancer including skin cancer (self-report)
  • Diagnosis or evidence of Raynaud's Syndrome or systemic sclerosis (self report)
  • Previously or currently diagnosed with SARS-Cov-2 infection/COVID-19 (secondary to unknown immune responses)
  • Any vaccine administration within two weeks preceding the study procedure
  • Currently pregnant
  • Currently taking any prescribed medication other than oral
  • Treatments for weight loss or any other supplements that may alter weight or metabolism are not acceptable (vitamins are acceptable)
  • Has consumed nicotine (smoking, inhaling, ingesting) within the last within the last 6 months
  • Has used illicit drugs within the last 6 months
  • Any medical, psychological, or social condition that, in opinion of principle investigators, would jeopardize the health or well-being of the participant during the study procedure or integrity of the data
Terms in these criteria, in plain language(2)

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.

BMI (body mass index)

Weight in kilograms divided by height in metres squared. Example: 70 kg and 1.75 m gives 70 ÷ (1.75 × 1.75) ≈ 22.9.

What counts as overweight or obesity differs between countries (some use lower cut-offs), so go by the range the study states.

Contraception

Ways of preventing pregnancy. “Highly effective” methods fail less than 1% of the time a year when used correctly — for example an IUD or an implant.

Criteria usually say which methods count and how long to keep using them after the last dose, sometimes for male participants too. Some studies accept a partner’s vasectomy if it was confirmed successful and that person is the participant’s only sexual partner.

05

Study design

Phase
Not applicable
Primary purpose
Basic science
Allocation
Non-randomized
Intervention model
Crossover assignment
Masking
None (open label)
Enrollment
20 participants (estimated)

Study arms

  • Experimental
    Cold Exposure

    The cold vest procedure: The first blood draw will be taken from participants before the cooling procedure (time 0, 30mL blood). Participants will then be requested to put on hospital scrubs and the cooling vest will be placed on them. Since muscle shivering is an alternative way of heat production (skeletal thermogenesis), we will first determine individual 'shivering threshold' for each participant (coldest tolerable temperature; typically 14°C / 57.2F), based on participant-report and direct observation. The cold vest will then be kept on for 3 hours with a temp set to the coldest tolerable temperature (shivering threshold +2°C (\~16-17°C / 60.8F-62.6F) and body temperature will be monitored by a tympanic thermometer. Following 3 hours, 30mL of blood will be drawn (Time 180min). All participants will be re-warmed with blankets after cooling has been completed, and offered a warm drink and a snack.

    Other: Cooling Vest Procedure

  • Active comparator
    Fasted procedure without cooling

    This arm has been added in order to exclude the effects of prolonged fasting on blood analytes. Previously enrolled participants will be re-invited to donate blood after 12hr fast and 3hrs later (15hr fast) without the cooling procedure. Participants will be re-consented for this lab appointment. The night prior the visit, the participants will be instructed to fast from 10:00pm. At the time of visit vital signs and anthropomorphic measurements will be taken. Blood Draw: The first blood draw will take place in the morning. Participant will then be asked to sit in the procedure room for 3 hours at room temperature; second blood draw will take place after 3 hrs. Total of 38ml of blood will be drawn. Blood will be used for clinical labs (fasting glucose, Hba1c, TSH, TG) and research.

    Other: Fasting overnight

Interventions

  • OtherCooling Vest Procedure

    A cold vest will be placed on the participant (consisting of a water-perfused CFA wearable vest, size S-M or M-L with adjustable straps Polar Products, Stow, OH; attached to a small 'cooler' reservoir to circulate cold water between the vest and the cooler; Product link: https://www.polarproducts.com/polarshop/pc/CoolOR-13-Quart-System-with-Arctic-Chiller-p24757.htm This product is safe and recommended by experimental guidelines and BARCIST criteria for human BAT studies. Note, the cooling vest will be cleaned between participants according to the manufacturer's guidelines found here: https://www.polarproducts.com/polarshop/pc/catalog/pdf/Polar\_CoolFlow\_Manual.pdf. Briefly, the vest will be hand washed with a mild detergent and warm soapy water and air-dried. The vest will then be stored in a clean, dry environment with ventilation.

  • OtherFasting overnight

    Participants will be requested to refrain from food and caloric drinks overnight (starting at 10pm) prior to the hospital visit. Blood will then be drawn the following morning (between 8 and 9am) and 3hrs later (between 11am and noon). Participants will be sat in a room with ambient temperature (room temperature w/o cooling) between the two blood draws.

06

What researchers measure

Primary outcomes

  1. Identification of cold-regulated blood proteome

    Mass spectrometry generates a list of proteins for each sample. We will compare fold of change before and after cooling - a true change is defined as 1.5-fold.

    Time frame: Before and after a 3 hour cooling procedure

Secondary outcomes

  1. Changes in HbA1c post cooling procedure using absorbance assay

    Absorbance assay

    Time frame: Before and after a 3 hour cooling procedure

  2. Changes in insulin post cooling procedure using enzyme-linked immunosorbent assay (ELISA)

    ELISA

    Time frame: Before and after a 3 hour cooling procedure

  3. Changes in triglycerides post cooling procedure using absorbance assay

    Absorbance assay

    Time frame: Before and after a 3 hour cooling procedure

  4. Changes in TSH post cooling procedure using absorbance assay

    Absorbance assay

    Time frame: Before and after a 3 hour cooling procedure

07

Study locations

1 site
08

References and documents

Individual participant data

Plan to share: No

No publications or documents are linked to this record.

09

Timeline

Tracking since Sep 25, 2026
ElapsedEstimatedEstimated, not yet reached

Started Oct 2021 (actual). Primary completion is estimated for Dec 2026, 62 months after the start.

How these figures are worked out, and which studies are left out of them.

Registered
Sep 9, 2021
First posted
Sep 20, 2021
StartActual
Oct 12, 2021
Primary completionEst.
Dec 31, 2026
CompletionEst.
Dec 31, 2026
Last update
May 27, 2026
What these dates mean
Start.
When the first participant enrolled; while estimated, when the study expects to open to recruitment.
Primary completion.
When the last participant was examined or treated to collect data for the study's main question, its primary outcome. A study that stopped early gives the date its data collection stopped.
Completion.
When the last participant's last visit took place, for every outcome, secondary ones and side effects included: the end of the study. Often later than primary completion, sometimes the same day.
Actual and Est.
Actual means the registry says the date has happened. Est. (estimated) is a date the sponsor plans or expects. It can still move, and the sponsor is expected to change it to actual once it has passed.
No changes since tracking began. The registry record was last updated on May 27, 2026, before this site started recording changes on Sep 25, 2026. Its history is on ClinicalTrials.gov ↗
10

Registry details

Key details

Study ID
NCT05050240
Responsible party
Sponsor
First posted
Sep 20, 2021
Start date
Oct 12, 2021
Primary completion
Dec 31, 2026 (estimated)
Completion
Dec 31, 2026 (estimated)
Last update
May 27, 2026

Study contacts

Kaja Plucinska, PhD
principal investigator · The Rockefeller University
Paul Cohen, PhD
study director · The Rockefeller University

Oversight

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

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