ObesityPOINSETTIANCT06869941
Adipose Tissue Gene Expression and Metabolomics Links to the Gut Microbiome-brain Axis
An observational study of Obesity, run by Institut d'Investigació Biomèdica de Girona Dr. Josep Trueta at 1 site in Spain.
Trial summary
This study aims to understand how adipose tissue (fat) and the gut microbiota (the bacteria in the gut) may influence brain function and cognition. It has been observed that changes in adipose tissue in animals such as mice and Drosophila (a type of insect) affect memory and other brain functions. Read more about this study
- Who is it for?
- Ages 20 years and older
- Conditions the study is for
- Obesity
- How many people
- 100 participants
- Where
- 1 siteSpain
- Study dates
- 5 Aug 2025to 31 Jan 2027
- How long will I take part?
- 1 Month
- Phase
- Observational
- Are there results?
- Not yet: the study is under way
Key requirements
Who can take part, as listed by the sponsor. Only the study team can confirm whether you are eligible, so take this list to your doctor.
- Ages 20 years and older
- All sexes
- No healthy volunteers
- Adult, Older adult
Study population: We will make use of the existing samples from the FATBANK cohort (a platform driven by CIBEROBN, managed by the IDIBGI Biobank, and part of the Spanish National Biobank Network). Participants in this cohort had previously signed informed consent to be contacted again. Therefore, the selected participants will be reappointed at the Endocrinology, Diabetes, and Nutrition Service (UDENTG) of the Dr. Josep Trueta Hospital.
Who may be able to join
- Men and women >20 years old.
- Scheduled for surgical intervention to extract adipose tissue.
- Signed informed consent for study participation.
Who cannot join
- Not meeting inclusion criteria.
- Non-obesity-related systemic diseases (cancer, severe kidney/liver disease).
- Systemic diseases with intrinsic inflammation (rheumatoid arthritis, Crohn's disease, asthma, chronic infections (HIV/tuberculosis)) or any type of infectious disease.
- Pregnant/breastfeeding women.
- Persons under legal/administrative restrictions.
- Those with infection symptoms in the past month.
Show all 19Show fewer
- Use of antibiotics/antifungals/antivirals (previous 3 months).
- Chronic steroidal/anti-inflammatory drug use.
- Major psychiatric history.
- Excessive alcohol intake, acute or chronic (>40g/day (women), >80g/day (men)) or drug abuse.
- Immunosuppressants treatment.
- Participants with severe eating disorders.
- Serum liver enzymes (GOT, GPT) above twice the upper limit of normal. Obvious signs or symptoms of liver disease, acute or chronic hepatitis.
- History of iron balance disorders (e.g., genetic hemochromatosis, hemosiderosis from any cause, atransferrinemia, paroxysmal nocturnal hemoglobinuria).
- Creatinine greater than 1.2 and glomerular filtration rate below 40.
- Current treatment for malignant neoplasia, other than basal cell or squamous cell skin cancer.
- Heart disease classified as class III or IV, known ischemic cardiovascular disease.
- Renal failure, history of kidney transplant, or current dialysis treatment.
- Chronic constipation (bowel movement frequency ≥ 7 days) .
Trial locations and contacts
1 site in 1 country. Contact the study team or a site near you to ask about taking part.
Spain1 site, 1 recruiting
- Recruiting
Institut d'Investigació Biomèdica de Girona (IDIBGI)
Girona, Girona, 17007
Yenny Leal, 0034 972940200 ext. 2325, yleal@idibgi.org
About this study
Official title: Adipose Tissue Gene Expression and Metabolomics Links to the Gut Microbiome-brain Axis (POINSETTIA Study)
This study aims to understand how adipose tissue (fat) and the gut microbiota (the bacteria in the gut) may influence brain function and cognition. It has been observed that changes in adipose tissue in animals such as mice and Drosophila (a type of insect) affect memory and other brain functions. Additionally, it is believed that the gut microbiota also plays an important role in cognition.
This study will explore how gene expression in adipose tissue, blood metabolites, and the gut microbiota are related to cognitive function, such as memory and thinking, in individuals with and without obesity. The investigation will also assess whether these factors can predict changes in the brain over time and how they influence sleep, physical activity, and blood sugar regulation.
Advanced technologies will be used to analyze samples of tissue, blood, and microbiota, with the goal of identifying new mechanisms through which obesity affects the brain. This research may contribute to the development of new diagnostic and therapeutic strategies for cognitive problems in individuals with obesity.
- Conditions
- Obesity
- Keywords
- Continous Glucose Monitoring, Cognition, Gut-microbiota-brain axis
- Medical subject headings
- Obesity
What participants receive
What participants receive. In a randomised study each person is assigned to one group by chance.
| Study group | Role | What they receive |
|---|---|---|
| OBESITY | With 2 subgroups * Man with obesity * Women with obesity | |
| WITHOUT OBESITY | With 2 subgroups: * Man without obesity * Women without obesity |
What is being measured
The primary outcome is the main question the study is designed to answer.
Glycemic variability
Mean and standard deviation of glucose measures in mg/dL using a CGM 10 days.
Measured: 36 month
The percentage of time in glucose target range (glucose level 100mg/dl-125mg/dl)
Measured: 36 months
The glycaemic risk measured with the low blood glucose index (LBGI)
Low blood glucose index (LBGI) is a parameter that quantifies the risk of glycaemic.
Measured: 36 months
The glycaemic variability measured with mean amplitude of glycaemic excursions (MAGE)
measured in mg/dl
Measured: 36 months
Minutes light sleep
Mean and standard deviation of minutes' light sleep measures by activity and sleep tracker device.
Measured: 36 months
Minutes deep sleep
Mean and standard deviation of minutes' deep sleep measures by activity and sleep tracker device.
Measured: 36 months
Minutes rapid eye movement (REM)
Mean and standard deviation of minutes REM measures by activity and sleep tracker device.
Measured: 36 months
Secondary outcomes (43)
Audioverbal memory
It will be measured by California Verbal Learning Test (CVLT). Minimum/maximum scale values (0-16), where 16 is a better audioverbal memory.
Measured: 36 months
Effect on gut microbiota
Gut microbiota will be analysed by metagenomics and metabolomics.
Measured: 36 months
Visual memory
It will be measured by Rey-Osterrieth Complex Figure. Minimum/maximum scale values (0-36), where 36 is a better visual memory.
Measured: 36 months
Depressive symptomatology
It will be measured by Patient Health Questionnaire-9 (PHQ-9). Minimum/maximum scale values (0-27), where ≥ 20 is severe depression.
Measured: 36 months
Impulsivity
It will be measured by Impulsive Behaviour Scale (UPPS-P). The test evaluates: Negative urgency (tendency to act rashly under extreme negative emotions), Lack of Premeditation (tendency to act without thinking), Lack of Perseverance (inability to remain focused on a task) and Sensation Seeking (tendency to seek out novel and thrilling experiences). All items are rated on a four point scale from 1 (strongly agree) to 4 (strongly disagree).
Measured: 36 months
Food Addiction
It will be measured by Yale Food Addiction Scale. It is a symptom score from 0-11, based on the Diagnostic and Statistical Manual of Mental Disorders (DSM-IV) criteria, for substance dependence. Food addiction is diagnosed if ≥3 symptoms are reported.
Measured: 36 months
Behavioural inhibition
It will be measured by Sensitivity to Punishment and Sensitivity to Reward (SPSRQ). The scale of Sensitivity to Punishment is related to the behavioural inhibition system. It is made up of two subscales of 24 items each. For each subscale, the minimum score is 0 and the maximum score is 24, with higher scores indicating greater sensitivity to punishment or reward, respectively.
Measured: 36 months
Behavioural activation
It will be measured by Sensitivity to Punishment and Sensitivity to Reward (SPSRQ). The reward sensitivity scale is related to the behavioural activation system. The questionnaire consists of two subscales of 24 items each. Each subscale ranges from 0 (minimum) to 24 (maximum), where a higher score indicates greater sensitivity to reward or punishment, respectively.
Measured: 36 months
Visoconstructive function
It will be measured by Rey-Osterrieth Complex Figure. Minimum/maximum scale values (0-36), where 36 is a better visoconstructive function.
Measured: 36 months
Selective and alternating attention
It will be measured by Trail making test (Part A and B).
Measured: 36 months
Attention and working memory
It will be measured by the Digits subtest of the Wechsler Adult Intelligence Scale - Fourth Edition (WAIS-IV). This subtest includes two parts: Digits Forward (measuring attention) and Digits Backward (measuring working memory). The total raw score ranges from 0 (minimum) to 30 (maximum), with higher scores indicating better attention and working memory capacity.
Measured: 36 months
Inhibition
It will be measured by Stroop Color-Word Test.
Measured: 36 months
Phonemic verbal fluency
It will be measured by PMR.
Measured: 36 months
Semantic verbal fluency
It will be measured by Animals test. The person must name as many animals as possible in 1 minute. The result is corrected by standard scores, according to age and level of education.
Measured: 36 months
Facial recognition
It will be measured by Picture of Facial Recognition Test (POFA).
Measured: 36 months
Emotion recognition
It will be measured by Benton Facial Recognition Test (BFRT). This test evaluates the recognition of the five basic emotions: happiness, sadness, surprise, disgust, and anger.
Measured: 36 months
Binge eating disorder
It will be measured by Binge Eating Scale (BES). The BES is one of the most widely used measures to assess binge eating disorder symptomatology. The BES score ranges from 0 to 46 and its cut-off point is greater than or equal to 27. Subjects with scores higher than 27 are more likely to suffer from binge eating disorder.
Measured: 36 months
Anxiety state
It will be measured by State-Trate Anxiety Inventory (STAI). This questionnaire evaluates state anxiety (S) and trait anxiety (R) through 20 items each, with a likert-type response scale of four alternatives. In the case of state anxiety, the scale goes from 0 (not at all) to 3 (a lot), while for trait anxiety it goes from 0 (almost never) to 3 (almost always). The higher the score, the greater the anxiety in both concepts.
Measured: 36 months
Effect on brain structure
Brain structure will be assessed using magnetic resonance imaging.
Measured: 36 months
Diffusion Tensor Imaging brain sequences
Diffusion Tensor Imaging was acquired at 1.5 T (Philips ingenia) using a single-shot spin echo sequence with echo-planar imaging (EPI), 50 contiguous slices, voxel size 2x2x2.5 mm3, TE/TR of 72/3581 ms/ms, a diffusion-weighting factor b = 800 s/mm2 and diffusion encoding along 32 directions.
Measured: 36 months
Brain iron accumulation
It will be assessed using magnetic resonance imaging using (R2*)
Measured: 36 months
Resting-state functional brain sequences
It will be assessed using magnetic resonance imaging (T2*-weighted echo-planar imaging). T2 * relaxation data will be acquired with a multi-echo gradient sequence with 10 equidistant echoes (first echo = 4.6ms; echo spacing = 4.6ms; repetition time = 1300ms). The value of T2 * will be calculated by adjusting the simple exponential terms for the signal decay of the respective echo time values.
Measured: 36 months
Insulin resistance
It will be measured by HOMA
Measured: 36 months
Markers of chronic inflammation (C-reactive protein, IL-6, adiponectin and soluble, tumour necrosis factor-α receptor fractions)
Enzyme-linked immunosorbent assay (ELISA) and quantitative polymerase chain reaction (qPCR)
Measured: 36 months
Glycosylated haemoglobin (HbA1c) value
Glycosylated haemoglobin (HbA1c) in % or mmol/mol
Measured: 36 months
The percentage of time in hyperglycaemia (glucose level above 250 mg/dl)
Measured: 36 months
The percentage of time in hypoglycaemia (glucose level below 70mg/dl)
Measured: 36 months
The percentage of time in glucose range (glucose level below 100 mg/dl)
Measured: 36 months
The percentage of time in glucose range (glucose level between 126-139 mg/dl)
Measured: 36 months
The percentage of time in glucose range (glucose level between 140-199 mg/dl)
Measured: 36 months
The percentage of time in glucose range (glucose level above 200 mg/dl)
Measured: 36 months
Burned calories
Mean and standard deviation of burned calories measures by activity and sleep tracker device.
Measured: 36 months
Steps Mean and standard deviation of steps measures by activity and sleep tracker device.
The mean and standard deviation of steps refer to the average number of steps taken by a participant and how much those steps vary from the average, as measured by an activity and sleep tracker device. The mean is the average, while the standard deviation shows the variation or consistency in step count.
Measured: 36 months
Distance Mean and standard deviation of distance measures by activity and sleep tracker device.
Measured: 36 months
Minutes null activity
Mean and standard deviation of minutes' null activity measures by activity and sleep
Measured: 36 months
Minutes slight activity
Mean and standard deviation of minutes slight activity measures by activity and sleep
Measured: 36 months
Minutes mean activity
Mean and standard deviation of minutes mean activity measures by activity and sleep tracker device.
Measured: 36 months
Minutes high activity
Mean and standard deviation of minutes high activity measures by activity and sleep tracker device.
Measured: 36 months
Calories
Mean and standard deviation of calories measures by activity and sleep tracker device.
Measured: 36 months
Minutes asleep
Mean and standard deviation of minutes asleep measures by activity and sleep tracker.
Measured: 36 months
Minutes awake
Mean and standard deviation of minutes awake measures by activity and sleep tracker.
Measured: 36 months
Bed time Mean and standard deviation of bed time measures by activity and sleep tracker device.
Measured: 36 months
Number time awake Mean and standard deviation of number time awake measures by activity and sleep
Measured: 36 months
Timeline
From the start of the study to its completion; the mark is today. Estimated dates are the sponsor’s plan.
- First posted11 Mar 2025
- Study start5 Aug 2025
- Primary completion31 Jan 2027 (estimated)
- Study completion31 Jan 2027 (estimated)
Resources
- Official record on ClinicalTrials.govThe registry entry this page is built from, with its full change history.
- Publications (32)Papers the sponsor has linked to this study.
- Other trials for ObesityStudies of the same condition, open and under way.
- What the trial phases meanHow a treatment moves from first tests in people to approval.
More details
For doctors and researchers: how the study is designed, who runs it, and its registry IDs.
Study design
- Study type
- Observational
- Observational model
- Case-control
- Time perspective
- Prospective
- Enrolment
- 100 participants (estimated)
- Target duration
- 1 Month
Sponsor and investigators
- Lead sponsor
- Institut d'Investigació Biomèdica de Girona Dr. Josep Trueta
- Sponsor type
- University, hospital or other
- Responsible party
- Principal investigator, José Manuel Fernández-Real, Institut d'Investigació Biomèdica de Girona Dr. Josep Trueta
- Investigators
- José Manuel Fernández-Real, M.D., Ph.D., Principal investigator, Institut d'Investigació Biomèdica de Girona Dr. Josep Trueta
IDs, dates and publications
- ClinicalTrials.gov ID
- NCT06869941
- Sponsor's protocol ID
- POINSETTIA-2024.200
- Acronym
- POINSETTIA
- Status last verified
- Mar 2026
- First submitted
- 5 Mar 2025
- Last updated
- 31 Mar 2026
- Results posted
- No
- Data monitoring committee
- No
- FDA-regulated drug
- No
- FDA-regulated device
- No
Publications
Mayneris-Perxachs J, Arnoriaga-Rodriguez M, Garre-Olmo J, Puig J, Ramos R, Trelis M, Burokas A, Coll C, Zapata-Tona C, Pedraza S, Perez-Brocal V, Ramio L, Ricart W, Moya A, Jove M, Sol J, Portero-Otin M, Pamplona R, Maldonado R, Fernandez-Real JM. Presence of Blastocystis in gut microbiota is associated with cognitive traits and decreased executive function. ISME J. 2022 Sep;16(9):2181-2197. doi: 10.1038/s41396-022-01262-3. Epub 2022 Jun 21.
PubMed 35729225Bier E. Drosophila, the golden bug, emerges as a tool for human genetics. Nat Rev Genet. 2005 Jan;6(1):9-23. doi: 10.1038/nrg1503.
PubMed 15630418Douglas AE. The Drosophila model for microbiome research. Lab Anim (NY). 2018 Jun;47(6):157-164. doi: 10.1038/s41684-018-0065-0. Epub 2018 May 23.
PubMed 29795158Quesada-Vazquez S, Castells-Nobau A, Latorre J, Oliveras-Canellas N, Puig-Parnau I, Tejera N, Tobajas Y, Baudin J, Hildebrand F, Beraza N, Burcelin R, Martinez-Gili L, Chilloux J, Dumas ME, Federici M, Hoyles L, Caimari A, Del Bas JM, Escote X, Fernandez-Real JM, Mayneris-Perxachs J. Potential therapeutic implications of histidine catabolism by the gut microbiota in NAFLD patients with morbid obesity. Cell Rep Med. 2023 Dec 19;4(12):101341. doi: 10.1016/j.xcrm.2023.101341.
PubMed 38118419Mayneris-Perxachs J, Moreno-Navarrete JM, Ballanti M, Monteleone G, Alessandro Paoluzi O, Mingrone G, Lefebvre P, Staels B, Federici M, Puig J, Garre J, Ramos R, Fernandez-Real JM. Lipidomics and metabolomics signatures of SARS-CoV-2 mediators/receptors in peripheral leukocytes, jejunum and colon. Comput Struct Biotechnol J. 2021;19:6080-6089. doi: 10.1016/j.csbj.2021.11.007. Epub 2021 Nov 8.
PubMed 34777716Lin H, Peddada SD. Analysis of compositions of microbiomes with bias correction. Nat Commun. 2020 Jul 14;11(1):3514. doi: 10.1038/s41467-020-17041-7.
PubMed 32665548Albanese D, Donati C. Strain profiling and epidemiology of bacterial species from metagenomic sequencing. Nat Commun. 2017 Dec 22;8(1):2260. doi: 10.1038/s41467-017-02209-5.
PubMed 29273717Zhao S, Li H, Han W, Chan W, Li L. Metabolomic Coverage of Chemical-Group-Submetabolome Analysis: Group Classification and Four-Channel Chemical Isotope Labeling LC-MS. Anal Chem. 2019 Sep 17;91(18):12108-12115. doi: 10.1021/acs.analchem.9b03431. Epub 2019 Sep 5.
PubMed 31441644Arnoriaga-Rodriguez M, Mayneris-Perxachs J, Burokas A, Contreras-Rodriguez O, Blasco G, Coll C, Biarnes C, Miranda-Olivos R, Latorre J, Moreno-Navarrete JM, Castells-Nobau A, Sabater M, Palomo-Buitrago ME, Puig J, Pedraza S, Gich J, Perez-Brocal V, Ricart W, Moya A, Fernandez-Real X, Ramio-Torrenta L, Pamplona R, Sol J, Jove M, Portero-Otin M, Maldonado R, Fernandez-Real JM. Obesity Impairs Short-Term and Working Memory through Gut Microbial Metabolism of Aromatic Amino Acids. Cell Metab. 2020 Oct 6;32(4):548-560.e7. doi: 10.1016/j.cmet.2020.09.002.
PubMed 33027674Mayneris-Perxachs J, Castells-Nobau A, Arnoriaga-Rodriguez M, Garre-Olmo J, Puig J, Ramos R, Martinez-Hernandez F, Burokas A, Coll C, Moreno-Navarrete JM, Zapata-Tona C, Pedraza S, Perez-Brocal V, Ramio-Torrenta L, Ricart W, Moya A, Martinez-Garcia M, Maldonado R, Fernandez-Real JM. Caudovirales bacteriophages are associated with improved executive function and memory in flies, mice, and humans. Cell Host Microbe. 2022 Mar 9;30(3):340-356.e8. doi: 10.1016/j.chom.2022.01.013. Epub 2022 Feb 16.
PubMed 35176247Mayneris-Perxachs J, Castells-Nobau A, Arnoriaga-Rodriguez M, Martin M, de la Vega-Correa L, Zapata C, Burokas A, Blasco G, Coll C, Escrichs A, Biarnes C, Moreno-Navarrete JM, Puig J, Garre-Olmo J, Ramos R, Pedraza S, Brugada R, Vilanova JC, Serena J, Gich J, Ramio-Torrenta L, Perez-Brocal V, Moya A, Pamplona R, Sol J, Jove M, Ricart W, Portero-Otin M, Deco G, Maldonado R, Fernandez-Real JM. Microbiota alterations in proline metabolism impact depression. Cell Metab. 2022 May 3;34(5):681-701.e10. doi: 10.1016/j.cmet.2022.04.001.
PubMed 35508109Oliveras-Canellas N, Castells-Nobau A, de la Vega-Correa L, Latorre-Luque J, Motger-Alberti A, Arnoriaga-Rodriguez M, Garre-Olmo J, Zapata-Tona C, Coll-Martinez C, Ramio-Torrenta L, Moreno-Navarrete JM, Puig J, Villarroya F, Ramos R, Casado-Anguera V, Martin-Garcia E, Maldonado R, Mayneris-Perxachs J, Fernandez-Real JM. Adipose tissue coregulates cognitive function. Sci Adv. 2023 Aug 11;9(32):eadg4017. doi: 10.1126/sciadv.adg4017. Epub 2023 Aug 11.
PubMed 37566655Xia D, Kelleher RJ 3rd, Shen J. Loss of Abeta43 Production Caused by Presenilin-1 Mutations in the Knockin Mouse Brain. Neuron. 2016 Apr 20;90(2):417-22. doi: 10.1016/j.neuron.2016.03.009.
PubMed 27100200Wechsler, D. WAIS IV: Escala de Inteligencia de Wechsler para Adultos-IV. Madrid: TEA. 2012
Guo DH, Yamamoto M, Hernandez CM, Khodadadi H, Baban B, Stranahan AM. Beige adipocytes mediate the neuroprotective and anti-inflammatory effects of subcutaneous fat in obese mice. Nat Commun. 2021 Jul 30;12(1):4623. doi: 10.1038/s41467-021-24540-8.
PubMed 34330904
Study at a glance
From the registry record, last updated by the sponsor on 31 Mar 2026. Recruitment status is as the sponsor reported it: confirm with the study team.
- Official title
- Adipose Tissue Gene Expression and Metabolomics Links to the Gut Microbiome-brain Axis (POINSETTIA Study)
- ClinicalTrials.gov ID
- NCT06869941
- Acronym / sponsor ID
- POINSETTIA / POINSETTIA-2024.200
- Conditions
- Obesity
- Keywords
- Continous Glucose Monitoring, Cognition, Gut-microbiota-brain axis
- Study type
- Observational
- Recruitment status
- Recruiting
- Enrolment
- 100 participants (estimated)
- Lead sponsor
- Institut d'Investigació Biomèdica de Girona Dr. Josep TruetaUniversity, hospital or other
- Study start
- 5 Aug 2025 (actual)
- Primary completion
- 31 Jan 2027 (estimated)
- Study completion
- 31 Jan 2027 (estimated)
- First posted
- 11 Mar 2025 (actual)
- Results
- Not posted in the source record
Clinical summary
The research question as the sponsor registered it. This describes what the study plans to test, not what it found.
This study aims to understand how adipose tissue (fat) and the gut microbiota (the bacteria in the gut) may influence brain function and cognition. It has been observed that changes in adipose tissue in animals such as mice and Drosophila (a type of insect) affect memory and other brain functions. Additionally, it is believed that the gut microbiota also plays an important role in cognition.
This study will explore how gene expression in adipose tissue, blood metabolites, and the gut microbiota are related to cognitive function, such as memory and thinking, in individuals with and without obesity. The investigation will also assess whether these factors can predict changes in the brain over time and how they influence sleep, physical activity, and blood sugar regulation.
Advanced technologies will be used to analyze samples of tissue, blood, and microbiota, with the goal of identifying new mechanisms through which obesity affects the brain. This research may contribute to the development of new diagnostic and therapeutic strategies for cognitive problems in individuals with obesity.
Study design
- Observational model
- Case-control
- Time perspective
- Prospective
- Target follow-up
- 1 Month
- Number of arms
- 2
| Arm | Type | Receives |
|---|---|---|
| OBESITY | – | –With 2 subgroups * Man with obesity * Women with obesity |
| WITHOUT OBESITY | – | –With 2 subgroups: * Man without obesity * Women without obesity |
Who may qualify
- Ages
- 20 years and older
- Sex
- All
- Healthy volunteers
- Not accepted
- Age groups
- Adult, Older adult
- Study population
- We will make use of the existing samples from the FATBANK cohort (a platform driven by CIBEROBN, managed by the IDIBGI Biobank, and part of the Spanish National Biobank Network). Participants in this cohort had previously signed informed consent to be contacted again. Therefore, the selected participants will be reappointed at the Endocrinology, Diabetes, and Nutrition Service (UDENTG) of the Dr. Josep Trueta Hospital.
Key inclusion criteria (3 listed)
- Men and women >20 years old.
- Scheduled for surgical intervention to extract adipose tissue.
- Signed informed consent for study participation.
Key exclusion criteria (19 listed)
- Not meeting inclusion criteria.
- Non-obesity-related systemic diseases (cancer, severe kidney/liver disease).
- Systemic diseases with intrinsic inflammation (rheumatoid arthritis, Crohn's disease, asthma, chronic infections (HIV/tuberculosis)) or any type of infectious disease.
- Pregnant/breastfeeding women.
- Persons under legal/administrative restrictions.
Eligibility is decided by the study team after screening; this overview does not establish that a patient qualifies. Full inclusion and exclusion criteria.
Primary outcome
Glycemic variability
Time frame: 36 month
Mean and standard deviation of glucose measures in mg/dL using a CGM 10 days.
The percentage of time in glucose target range (glucose level 100mg/dl-125mg/dl)
Time frame: 36 months
The glycaemic risk measured with the low blood glucose index (LBGI)
Time frame: 36 months
Low blood glucose index (LBGI) is a parameter that quantifies the risk of glycaemic.
The glycaemic variability measured with mean amplitude of glycaemic excursions (MAGE)
Time frame: 36 months
measured in mg/dl
Minutes light sleep
Time frame: 36 months
Mean and standard deviation of minutes' light sleep measures by activity and sleep tracker device.
Minutes deep sleep
Time frame: 36 months
Mean and standard deviation of minutes' deep sleep measures by activity and sleep tracker device.
Minutes rapid eye movement (REM)
Time frame: 36 months
Mean and standard deviation of minutes REM measures by activity and sleep tracker device.
43 secondary outcomes
Audioverbal memory
Time frame: 36 months
Effect on gut microbiota
Time frame: 36 months
Visual memory
Time frame: 36 months
Depressive symptomatology
Time frame: 36 months
Impulsivity
Time frame: 36 months
Food Addiction
Time frame: 36 months
Behavioural inhibition
Time frame: 36 months
Behavioural activation
Time frame: 36 months
Visoconstructive function
Time frame: 36 months
Selective and alternating attention
Time frame: 36 months
Attention and working memory
Time frame: 36 months
Inhibition
Time frame: 36 months
Phonemic verbal fluency
Time frame: 36 months
Semantic verbal fluency
Time frame: 36 months
Facial recognition
Time frame: 36 months
Emotion recognition
Time frame: 36 months
Binge eating disorder
Time frame: 36 months
Anxiety state
Time frame: 36 months
Effect on brain structure
Time frame: 36 months
Diffusion Tensor Imaging brain sequences
Time frame: 36 months
Brain iron accumulation
Time frame: 36 months
Resting-state functional brain sequences
Time frame: 36 months
Insulin resistance
Time frame: 36 months
Markers of chronic inflammation (C-reactive protein, IL-6, adiponectin and soluble, tumour necrosis factor-α receptor fractions)
Time frame: 36 months
Glycosylated haemoglobin (HbA1c) value
Time frame: 36 months
The percentage of time in hyperglycaemia (glucose level above 250 mg/dl)
Time frame: 36 months
The percentage of time in hypoglycaemia (glucose level below 70mg/dl)
Time frame: 36 months
The percentage of time in glucose range (glucose level below 100 mg/dl)
Time frame: 36 months
The percentage of time in glucose range (glucose level between 126-139 mg/dl)
Time frame: 36 months
The percentage of time in glucose range (glucose level between 140-199 mg/dl)
Time frame: 36 months
The percentage of time in glucose range (glucose level above 200 mg/dl)
Time frame: 36 months
Burned calories
Time frame: 36 months
Steps Mean and standard deviation of steps measures by activity and sleep tracker device.
Time frame: 36 months
Distance Mean and standard deviation of distance measures by activity and sleep tracker device.
Time frame: 36 months
Minutes null activity
Time frame: 36 months
Minutes slight activity
Time frame: 36 months
Minutes mean activity
Time frame: 36 months
Minutes high activity
Time frame: 36 months
Calories
Time frame: 36 months
Minutes asleep
Time frame: 36 months
Results and safety
This study is still under way. Results are not available in the source record yet.
Research links
- Official record on ClinicalTrials.govLast updated by the sponsor 31 Mar 2026.
- Background: PubMed 35729225Mayneris-Perxachs J, Arnoriaga-Rodriguez M, Garre-Olmo J, Puig J, Ramos R, Trelis M, Burokas A, Coll C, Zapata-Tona C, Pedraza S, Perez-Brocal V, Ramio L, Ricart W, Moya A, Jove M, Sol J, Portero-Otin M, Pamplona R, Maldonado R, Fernandez-Real JM. Presence of Blastocystis in gut microbiota is associated with cognitive traits and decreased executive function. ISME J. 2022 Sep;16(9):2181-2197. doi: 10.1038/s41396-022-01262-3. Epub 2022 Jun 21.
- Background: PubMed 15630418Bier E. Drosophila, the golden bug, emerges as a tool for human genetics. Nat Rev Genet. 2005 Jan;6(1):9-23. doi: 10.1038/nrg1503.
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Referral and contact
AzTrials does not enrol participants or take referrals. Contact the study team or a site listed below; they decide who can take part.
José Manuel Fernández-Real, M.D., Ph.D. principal investigator
Institut d'Investigació Biomèdica de Girona Dr. Josep Trueta
1 site in 1 country: see every site and its status.
Questions about this trial
What is this clinical trial studying?
An observational study of Obesity, run by Institut d'Investigació Biomèdica de Girona Dr. Josep Trueta at 1 site in Spain.
The full registered description is in the About this study section and the official record.
Who may be eligible to take part?
The sponsor lists 3 inclusion and 19 exclusion criteria. Eligibility is decided by the study team after screening, so read the full criteria and contact a listed site.
Is this clinical trial currently recruiting?
The record says: looking for participants now, as of the sponsor's last update on 31 Mar 2026. Status can change between updates, so confirm with the study contact before making plans.
Where is the study taking place?
The record lists 1 site in Spain. Whether a site is taking part right now should be confirmed with that site. See every site.
What are the possible benefits and risks?
They depend on the study and the treatment, and no study can promise a benefit. The study team explains the known risks during informed consent, before anyone joins; the record itself does not list them.
Are results available for this study?
This study is still under way. Results are not available in the source record yet.
How can a doctor refer a patient or contact the research team?
Contact José Manuel Fernández-Real, M.D., Ph.D. (+34972940200, jmfreal@idibgi.org), or a site near the patient. AzTrials does not enrol participants or take referrals.
What does the primary outcome measure?
Glycemic variability (time frame: 36 month). The study lists 7 primary outcomes in all. It is what the study was designed to measure, not a finding.
Where can I read the original study information?
On the ClinicalTrials.gov record for NCT06869941, which also lists 32 linked publications.
Does a listing mean the treatment is approved or proven to work?
No. A listing means the study is registered. It does not show that the treatment is safe, works, or is approved by a regulator.
How often is this information updated?
AzTrials copies changed records from ClinicalTrials.gov every night and reloads the whole registry every week. The sponsor last updated this record on 31 Mar 2026.