ClinicalTrials.gg
RecruitingNCT05946083Updated Jul 16, 2025

The Brain, the Bug, and the Binge: the Interplay Between Binge Drinking, Gut Microbiota, and Brain Functioning

A Phase 2 interventional study of Inulin Intervention and Maltodextrin Intervention in Binge Drinking, sponsored by University of Minho. Recruiting at 1 site in Portugal. Open to participants aged 18 Years to 23 Years, including healthy volunteers. Per ClinicalTrials.gov, last updated 2025-07-16.

Sponsored by University of Minho · Phase 2, Interventional, and Prevention

From the registry’s dates

  • Primary completion was expected by Jul 2025, 1 year 3 months ago, but the record still lists the study as recruiting.
  • Registered 3 months after the study started (first participant enrolled Feb 2023, registered Jun 2023).
  • Started Feb 2023; still recruiting 3 years 8 months later.
Phase
Phase 2
Study type
Interventional
Enrollment
82
Allocation
Randomized
Ages
18 Years to 23 Years
Sex
All
01

Study summary

Adolescence and youth are periods of significant maturational changes which seems to involve greater susceptibility to disruptive events in the brain such as binge drinking (BD). This prevalent pattern of consumption -characterized by repeated alcohol intoxications- is of special concern, as it has been associated with major neurocognitive impairments in the young brain.

Recent studies indicate that alcohol may disrupt the gut microbiota (GM) and that these disruptions may lead to impairments in brain and behavior. Also, interventions with psychobiotics have been shown to result in reductions in alcohol-induced damage and in improvements on cognitive and brain functioning.

Thus, the present proposal will explore the effects of BD on GM. Additionally, a GM intervention with psychobiotics both in-vivo and in-vitro, will determine whether improvements in GM composition/function may lead to reductions of alcohol-induced brain damage in BD-population, a barely unexplored research field with major clinical applications.

Read the detailed description

The present study protocol aims to determine the interaction between alcohol consumption, brain function and gut microbiota through several levels of analysis, including techniques to measure brain activity (i.e., magnetic resonance imaging), paradigms to measure cognitive performance, collection of stool and blood samples, and questionnaires. Additionally, this study will investigate the relationship between alcohol, brain activity and gut microbiota and how this can be modified through our diet. The sample will be composed by a cohort of young college students (18-23 years) from the University of Minho (UM; Braga, Portugal) selected according to their drinking patterns. Eighty-two participants will be recruited from UM: 36 non/low-drinkers and 46 binge drinkers (BDs) matched for age and gender. Recruitment will be carried out through an online survey broadcasted using the institutional email. This survey will include a simple sociodemographic section and items regarding the use of alcohol (Alcohol Use Disorder Identification Test - AUDIT, frequency of alcohol consumption, number of drinks consumed on each day of the past week, speed of drinking, etc.). After sample selection, participants will be submitted to the following steps: (1) clinical interview - addresses questions relating to psychological, medical, personal and family history, including questions related to history of alcohol and drug use and some specific questionnaires relating to substance use, as well as those related to physical and psychological symptoms, and personality; (2) neuroimaging assessment - will consist of a structural and functional magnetic resonance imaging (fMRI) at the Hospital de Guimarães (Portugal), while performing different cognitive tasks; (3) evaluation of some microorganisms residing in the gut and certain inflammatory markers - each participant will be asked to collect stool and blood samples; (4) evaluation of the potential of an intervention with psychobiotics.

Thus, this protocol involves the following phases:

  1. pre-intervention, consisting of the assessment of the variables of interest to the study by means of a clinical interview, neuropsychological testing, collection of stool and blood samples, and MRI recordings.
  2. intervention (only for BDs), consisting of taking a prebiotic for 6 weeks. Depending on the group to which they will be allocated, the participant will take one of two types of fiber: a fiber with benefits for intestinal bacteria (inulin) or a similar fiber with no specific benefits for the intestinal microbiome (maltodextrin). Each participant will not know which group they belong to in order not to bias the results of the study according to scientific standards.
  3. post-intervention, which will consist in the re-assessment of the variables previously assessed in the pre-intervention phase.
  4. follow-up, consisting of the assessment and monitoring of levels of alcohol consumption and craving during the 3 months following the intervention phase.
02

Conditions studied

  • Binge Drinking

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Keywords

  • Adolescence
  • Young Adulthood
  • Alcohol
  • Binge Drinking
  • Gut Microbiome
  • Microbiota-Gut-Brain Axis
  • Magnetic Resonance Imaging
  • Pro-inflammatory cytokines
  • Psychobiotics
  • Randomized Controlled Trial
03

In context

Binge Drinking

71 studies on the registry are indexed under Binge Drinking; 20 are open to participants now.

This study's planned enrollment of 82 is below the median of 120 across 64 interventional studies indexed under Binge Drinking.

Browse Binge Drinking studies →

Lead sponsor

University of Minho is the lead sponsor of 39 studies on the registry; 9 are open to participants now.

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

04

Who can participate

Ages eligible
18 Years to 23 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

  • College students whose native language is Portuguese;
  • Age 18-23 years;
  • Binge Drinkers: report (i) drinking 4 (for women)/5 (for men) or more drinks on one occasion at least once a month, (ii) drinking at a speed of at least two drinks per hour during these episodes (which brings blood alcohol concentration to 0.08 g/dL or above), and (iii) having an AUDIT score \< 20.
  • Non/Low-Drinkers: report (i) never drinking 4/5 or more drinks on one occasion and (ii) having an AUDIT score ≤ 4.

Exclusion criteria

Exclusion Criteria:

  • Use of illicit drugs as determined by the Drug Use Disorders Identification Test (DUDIT);
  • Alcohol abuse (i.e., AUDIT ≥ 20);
  • Personal history of psychopathological disorders (according to criteria);
  • History of traumatic brain injury or neurological disorder;
  • Family history (mother/father) of alcoholism diagnosis of substance abuse;
  • Occurrence of one or more episodes of loss of consciousness for more than 30 minutes;
  • Non-corrected sensory deficits;
  • Diagnosis of any gut disease/problems or other medical conditions: inflammatory bowel disease, irritable bowel syndrome, Crohn's Disease, celiac disease, lactose intolerance, disease;
  • Consumption of medical drugs with psychoactive effects (e.g., antidepressants, anxiolytics or benzodiazepines) during the 4 weeks prior to the experiment;
  • Use of any of the following drugs in the last 4 weeks: laxatives, antibiotics, anticoagulants, non-steroidal anti-inflammatory drugs, analgesics, ;
  • No type of metal object implanted in the body, especially in the head (orthodontic appliances are not excluded).
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.

DSM diagnostic criteria

The American Psychiatric Association’s manual of mental health diagnoses. DSM-5 (2013, revised as DSM-5-TR in 2022) replaced DSM-IV, and some studies still name the older edition. “Meets DSM criteria for …” means diagnosed by that edition’s diagnostic criteria, usually by a clinician in an interview.

Autoimmune disease

A condition in which the immune system attacks the body’s own tissues, such as rheumatoid arthritis, lupus, psoriasis, type 1 diabetes or inflammatory bowel disease.

Immunotherapy studies often leave out active autoimmune disease, and some name exceptions, such as thyroid disease on replacement hormone. 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.

05

Study design

Phase
Phase 2
Primary purpose
Prevention
Allocation
Randomized
Intervention model
Parallel assignment
Masking
Triple (Participant, Care provider, Outcomes assessor)
Enrollment
82 participants (estimated)

Study arms

  • Active comparator
    Binge Drinkers with Inulin Intervention

    23 binge drinkers (\~50 % male and \~50 % female) will be given a daily dose of inulin.

    Dietary Supplement: Inulin Intervention

  • Placebo comparator
    Binge Drinkers with Maltodextrin Intervention

    23 binge drinkers (\~50 % male and \~50 % female) will be given a daily dose of maltodextrin.

    Dietary Supplement: Maltodextrin Intervention

  • No intervention
    Non/Low-Drinkers

    36 non/low-drinkers will not be given any dietary fiber.

Interventions

  • Dietary supplementInulin Intervention

    For 6 weeks, 23 binge drinkers will be given a daily dose (divided into three times a day) of 15g of a dietary fiber with benefits for intestinal bacteria (inulin).

  • Dietary supplementMaltodextrin Intervention

    For 6 weeks, 23 binge drinkers will be given a daily dose (divided into three times a day) of 15g of dietary fiber with no specific benefits for the intestinal microbiome (maltodextrin).

06

What researchers measure

Primary outcomes

  1. Fecal Microbiota - Species Richness

    Faecal samples will be collected from all participants for microbiota α-diversity analysis by 16S rRNA metagenomics (Illumina sequencing). The Chao1 Index will be used as an estimator of nonparametric microbial species richness in each sample.

    Time frame: At baseline (pre-intervention)

  2. Fecal Microbiota - Species Richness

    Faecal samples will be collected only from binge drinkers subjected to the intervention for microbiota α-diversity analysis by 16S rRNA metagenomics (Illumina sequencing). The Chao1 Index will be used as an estimator of nonparametric microbial species richness in each sample.

    Time frame: Immediately post-intervention.

  3. Fecal Microbiota - Species Diversity

    Faecal samples will be collected from all participants for microbiota α-diversity analysis by 16S rRNA metagenomics (Illumina sequencing). The Shannon Diversity Index (metric combining richness and evenness, with equal weighting given to abundant and rare species) and the Simpson Diversity Index (metric of richness and evenness, in which more weighting is given to abundant species) will be used.

    Time frame: At baseline (pre-intervention)

  4. Fecal Microbiota - Species Diversity

    Faecal samples will be collected only from binge drinkers subjected to the intervention for microbiota α-diversity analysis by 16S rRNA metagenomics (Illumina sequencing). The Shannon Diversity Index (metric combining richness and evenness, with equal weighting given to abundant and rare species) and the Simpson Diversity Index (metric of richness and evenness, in which more weighting is given to abundant species) will be used.

    Time frame: Immediately post-intervention

  5. Fecal Microbiota - Quantification of SCFAs levels

    The concentration of short-chain fatty acids (SCFAs) present in each collected faecal sample shall be quantified by High Performance Liquid Chromatography (HPLC).

    Time frame: At baseline (pre-intervention)

  6. Fecal Microbiota - Quantification of SCFAs levels

    The concentration of SCFAs present in each collected faecal sample shall be quantified by HPLC.

    Time frame: Immediately post-intervention.

Secondary outcomes

  1. Alcohol Consumption - Drinking pattern

    The AUDIT will be administered to characterize the drinking pattern of the participants. AUDIT scores ≤ 4 reveal low risk of alcohol use; scores between 5 and 20 represent excessive alcohol consumption; and scores ≥ 20 indicate very high risk for alcohol dependence and warrant further diagnostic evaluation for alcohol dependence.

    Time frame: Immediately post-intervention

  2. Alcohol Consumption - Drinking pattern

    The AUDIT will be administered to characterize the drinking pattern of the participants. AUDIT scores ≤ 4 reveal low risk of alcohol use; scores between 5 and 20 represent excessive alcohol consumption; and scores ≥ 20 indicate very high risk for alcohol dependence and warrant further diagnostic evaluation for alcohol dependence.

    Time frame: 3 months post-intervention

  3. Alcohol Craving - Short-term acute craving

    Short-term alcohol craving levels will be assessed using the ACQ-SF-R at the present moment. Total minimum score: 1 (low level of alcohol craving); Total maximum score: 7 (high level of alcohol craving).

    Time frame: Immediately post-intervention

  4. Alcohol Craving - Short-term acute craving

    Short-term alcohol craving levels will be assessed using the ACQ-SF-R at the present moment. Total minimum score: 1 (low level of alcohol craving); Total maximum score: 7 (high level of alcohol craving).

    Time frame: 3 months post-intervention

  5. Neuropsychological Evaluation - Memory

    The Delayed Matching to Sample (DMS) from Cambridge Neuropsychological Test Automated Battery (CANTAB) will be used to assess both simultaneous visual matching ability and short-term visual recognition memory, for non-verbalisable patterns.

    Time frame: At baseline (pre-intervention)

  6. Neuropsychological Evaluation - Memory

    The Delayed Matching to Sample (DMS) from Cambridge Neuropsychological Test Automated Battery (CANTAB) will be used to assess both simultaneous visual matching ability and short-term visual recognition memory, for non-verbalisable patterns.

    Time frame: Immediately post-intervention

  7. Neuropsychological Evaluation - Emotion and Social Cognition

    The Emotion Recognition Task (ERT) from CANTAB will measure the ability to identify six basic emotions (sadness, happiness, fear, anger, disgust, and surprise) in facial expressions along a continuum of expression magnitude.

    Time frame: At baseline (pre-intervention)

  8. Neuropsychological Evaluation - Emotion and Social Cognition

    The Emotion Recognition Task (ERT) from CANTAB will measure the ability to identify six basic emotions (sadness, happiness, fear, anger, disgust, and surprise) in facial expressions along a continuum of expression magnitude.

    Time frame: Immediately post-intervention

  9. Neuropsychological Evaluation - Executive Function

    The performance of the cognitive domain comprising high-level thinking and decision-making will be assessed through CANTAB, namely the Cambridge Gambling Task (CGT, to assess decision-making and risk behaviour outside a learning context), Intra-Extra Dimensional Set Shift (IED, to assess cognitive flexibility), Spatial Working Memory (SWM, to identify working memory strategies and errors) and Stop Signal Task (SST, to measure response inhibition/impulse control).

    Time frame: At baseline (pre-intervention)

  10. Neuropsychological Evaluation - Executive Function

    The performance of the cognitive domain comprising high-level thinking and decision-making will be assessed through CANTAB, namely the Cambridge Gambling Task (CGT, to assess decision-making and risk behaviour outside a learning context), Intra-Extra Dimensional Set Shift (IED, to assess cognitive flexibility), Spatial Working Memory (SWM, to identify working memory strategies and errors) and Stop Signal Task (SST, to measure response inhibition/impulse control).

    Time frame: Immediately post-intervention

  11. Alcohol Cue Reactivity - Emotional measures

    The reactivity to alcoholic cues will be assessed using the Alcohol Cue Reactivity (ACR) task. The full task includes a total of 80 trials with 40 alcoholic and 40 non-alcoholic images obtained from the Amsterdam Beverage Picture Set. The emotional responses for each image in terms of valence and arousal task, will be registered using the Self-Assessment Manikin (valence: from 1 = "very unpleasant" to 9 ="very pleasant"; arousal: from 1 = "not arousing" to 9 = "highly arousing") during the ACR task.

    Time frame: At baseline (pre-intervention)

  12. Alcohol Cue Reactivity - Emotional measures

    The reactivity to alcoholic cues will be assessed using the ACR task. The full task includes a total of 80 trials with 40 alcoholic and 40 non-alcoholic images obtained from the Amsterdam Beverage Picture Set. The emotional responses for each image in terms of valence and arousal task, will be registered using the Self-Assessment Manikin (valence: from 1 = "very unpleasant" to 9 ="very pleasant"; arousal: from 1 = "not arousing" to 9 = "highly arousing") during the ACR task.

    Time frame: Immediately post-intervention.

  13. Memory Inhibition Performance

    Memory Inhibition (MI), specifically alcohol-related MI, will be assessed using the Think/No-Think Alcohol (TNTA) task. Percentage of correct responses (for Think, No-Think and Baseline items) in the TNTA task will be computed according to the following formula: ((number of correctly recalled items)/(number of previously learned items))×100. Correct responses correspond to the items learned during the learning phase and correctly recalled during the memory test phase.

    Time frame: At baseline (pre-intervention)

  14. Memory Inhibition Performance

    MI, specifically alcohol-related MI, will be assessed using the TNTA task. Percentage of correct responses (for Think, No-Think and Baseline items) in the TNTA task will be computed according to the following formula: ((number of correctly recalled items)/(number of previously learned items))×100. Correct responses correspond to the items learned during the learning phase and correctly recalled during the memory test phase.

    Time frame: Immediately post-intervention.

  15. Ability of Emotional Recognition

    Emotional recognition capacity will be assessed through the Emotion Discrimination (ED) task. ED assesses the brain's preconscious and conscious responses to emotional faces. The complete task includes a total of 120 images of human faces (60 men and 60 women), showing the main negative emotions: angry, sadness and fear.

    Time frame: At baseline (pre-intervention)

  16. Ability of Emotional Recognition

    Emotional recognition capacity will be assessed through the ED task. ED assesses the brain's preconscious and conscious responses to emotional faces. The complete task includes a total of 120 images of human faces (60 men and 60 women), showing the main negative emotions: angry, sadness and fear.

    Time frame: Immediately post-intervention.

  17. Blood samples - Presence of Inflammatory Markers

    Blood samples will be collected from all participants. The presence and abundance of the following cytokines will be analyzed: Tumour Necrosis Factor α (TNF-α) and Interleukins (IL-1β, IL-6, IL-10).

    Time frame: At baseline (pre-intervention)

  18. Blood samples - Presence of Inflammatory Markers

    Blood samples will be collected only from binge drinkers subjected to the intervention. The presence and abundance of the following cytokines will be analyzed: Tumour Necrosis Factor α (TNF-α) and Interleukins (IL-1β, IL-6, IL-10).

    Time frame: Immediately post-intervention.

  19. Neurofunctional level - Think/No-Think Alcohol (TNTA) Task

    The TNTA task assesses memory inhibition mechanisms in alcohol-related contexts. It involves three phases - Learning, Think/No-Think and Memory Test - during which participants memorise pairs of images (human faces with a neutral expression and alcoholic/non-alcoholic beverages) and are subsequently instructed to actively recall or suppress these associations.

    Time frame: At baseline (pre-intervention)

  20. Neurofunctional level - Think/No-Think Alcohol (TNTA) Task

    The TNTA task assesses memory inhibition mechanisms in alcohol-related contexts. It involves three phases - Learning, Think/No-Think and Memory Test - during which participants memorise pairs of images (human faces with a neutral expression and alcoholic/non-alcoholic beverages) and are subsequently instructed to actively recall or suppress these associations.

    Time frame: Immediately post-intervention

  21. Neurofunctional level - Emotional Face Matching (EFM) Task

    The EFM task assesses emotional recognition ability and pre-conscious and conscious neural responses to emotional faces and geometric forms. During each trial, participants view three emotional faces or shapes (one on top and two on the bottom, in a triangular configuration) and are instructed to identify the emotion/shape at the top of the screen and match it with the corresponding one at the bottom using handheld response buttons.

    Time frame: At baseline (pre-intervention)

  22. Neurofunctional level - Emotional Face Matching (EFM) Task

    The EFM task assesses emotional recognition ability and pre-conscious and conscious neural responses to emotional faces and geometric forms. During each trial, participants view three emotional faces or shapes (one on top and two on the bottom, in a triangular configuration) and are instructed to identify the emotion/shape at the top of the screen and match it with the corresponding one at the bottom using handheld response buttons.

    Time frame: Immediately post-intervention

  23. Neurofunctional level - Alcohol Cue Reactivity (ACR) Task

    The ACR task assesses the emotional and attentional response to alcoholic stimuli. Participants are shown images of alcoholic and non-alcoholic drinks, interspersed with oddball blocks containing neutral objects, to which they must respond by pressing a button. After viewing all images, participants are asked to rate their emotional responses to the alcoholic or non-alcoholic beverage images in terms of valence, arousal, and desire.

    Time frame: At baseline (pre-intervention)

  24. Neurofunctional level - Alcohol Cue Reactivity (ACR) Task

    The ACR task assesses the emotional and attentional response to alcoholic stimuli. Participants are shown images of alcoholic and non-alcoholic drinks, interspersed with oddball blocks containing neutral objects, to which they must respond by pressing a button. After viewing all images, participants are asked to rate their emotional responses to the alcoholic or non-alcoholic beverage images in terms of valence, arousal, and desire.

    Time frame: Immediately post-intervention

07

Study locations

1 of 1 sites recruiting
  • Psychological Neuroscience Laboratory, Psychology Research Center, University of Minho
    Braga, Gualtar, Braga 4710-057, Portugal
    Recruiting
    • Eduardo G. López-Caneda, PhD · Contacteduardo.lopez@psi.uminho.pt · (+351) 253 604 223
    • Clarisse N. Gonçalves, PhD · Contactclarissenobre@deb.uminho.pt
    • Sónia S. Sousa, PhD · Sub investigator
    • Carina Carbia, PhD · Sub investigator
    • Natália A. Almeida-Antunes, PhD Student · Sub investigator
    • Rui S. Rodrigues, PhD Student · Sub investigator
    • Pedro S. Azevedo, PhD Student · Sub investigator
    • Diogo P. Martins, MS · Sub investigator
08

References and documents

Publications

  • Carbia C, Bastiaanssen TFS, Iannone LF, Garcia-Cabrerizo R, Boscaini S, Berding K, Strain CR, Clarke G, Stanton C, Dinan TG, Cryan JF. The Microbiome-Gut-Brain axis regulates social cognition & craving in young binge drinkers. EBioMedicine. 2023 Mar;89:104442. doi: 10.1016/j.ebiom.2023.104442. Epub 2023 Feb 2. PubMed 36739238 ↗
  • Sousa SS, Sampaio A, Marques P, Lopez-Caneda E, Goncalves OF, Crego A. Functional and structural connectivity of the executive control network in college binge drinkers. Addict Behav. 2019 Dec;99:106009. doi: 10.1016/j.addbeh.2019.05.033. Epub 2019 Jun 3. PubMed 31487578 ↗
  • Almeida-Antunes N, Crego A, Carbia C, Sousa SS, Rodrigues R, Sampaio A, Lopez-Caneda E. Electroencephalographic signatures of the binge drinking pattern during adolescence and young adulthood: A PRISMA-driven systematic review. Neuroimage Clin. 2021;29:102537. doi: 10.1016/j.nicl.2020.102537. Epub 2020 Dec 17. PubMed 33418172 ↗
  • White A, Hingson R. The burden of alcohol use: excessive alcohol consumption and related consequences among college students. Alcohol Res. 2013;35(2):201-18. doi: 10.35946/arcr.v35.2.11. PubMed 24881329 ↗
  • Carbia C, Lannoy S, Maurage P, Lopez-Caneda E, O'Riordan KJ, Dinan TG, Cryan JF. A biological framework for emotional dysregulation in alcohol misuse: from gut to brain. Mol Psychiatry. 2021 Apr;26(4):1098-1118. doi: 10.1038/s41380-020-00970-6. Epub 2020 Dec 7. PubMed 33288871 ↗
  • Cryan JF, Dinan TG. Mind-altering microorganisms: the impact of the gut microbiota on brain and behaviour. Nat Rev Neurosci. 2012 Oct;13(10):701-12. doi: 10.1038/nrn3346. Epub 2012 Sep 12. PubMed 22968153 ↗
  • Cryan JF, O'Riordan KJ, Sandhu K, Peterson V, Dinan TG. The gut microbiome in neurological disorders. Lancet Neurol. 2020 Feb;19(2):179-194. doi: 10.1016/S1474-4422(19)30356-4. Epub 2019 Nov 18. PubMed 31753762 ↗
  • Leclercq S, Matamoros S, Cani PD, Neyrinck AM, Jamar F, Starkel P, Windey K, Tremaroli V, Backhed F, Verbeke K, de Timary P, Delzenne NM. Intestinal permeability, gut-bacterial dysbiosis, and behavioral markers of alcohol-dependence severity. Proc Natl Acad Sci U S A. 2014 Oct 21;111(42):E4485-93. doi: 10.1073/pnas.1415174111. Epub 2014 Oct 6. PubMed 25288760 ↗
  • Leclercq S, de Timary P, Delzenne NM, Starkel P. The link between inflammation, bugs, the intestine and the brain in alcohol dependence. Transl Psychiatry. 2017 Feb 28;7(2):e1048. doi: 10.1038/tp.2017.15. PubMed 28244981 ↗
  • Jadhav KS, Peterson VL, Halfon O, Ahern G, Fouhy F, Stanton C, Dinan TG, Cryan JF, Boutrel B. Gut microbiome correlates with altered striatal dopamine receptor expression in a model of compulsive alcohol seeking. Neuropharmacology. 2018 Oct;141:249-259. doi: 10.1016/j.neuropharm.2018.08.026. Epub 2018 Aug 31. PubMed 30172845 ↗
  • Leclercq S, Starkel P, Delzenne NM, de Timary P. The gut microbiota: A new target in the management of alcohol dependence? Alcohol. 2019 Feb;74:105-111. doi: 10.1016/j.alcohol.2018.03.005. Epub 2018 Mar 20. PubMed 30031625 ↗
  • Lannoy S, Billieux J, Dormal V, Maurage P. Behavioral and Cerebral Impairments Associated with Binge Drinking in Youth: A Critical Review. Psychol Belg. 2019 Mar 29;59(1):116-155. doi: 10.5334/pb.476. PubMed 31328014 ↗
  • Lopez-Caneda E, Crego A, Campos AD, Gonzalez-Villar A, Sampaio A. The Think/No-Think Alcohol Task: A New Paradigm for Assessing Memory Suppression in Alcohol-Related Contexts. Alcohol Clin Exp Res. 2019 Jan;43(1):36-47. doi: 10.1111/acer.13916. Epub 2018 Nov 25. PubMed 30375668 ↗
  • Prata-Martins D, Nobre C, Almeida-Antunes N, Azevedo P, Sousa SS, Crego A, Cryan J, Sampaio A, Carbia C, Lopez-Caneda E. Assessing the impact of binge drinking and a prebiotic intervention on the gut-brain axis in young adults: protocol for a randomised controlled trial. BMJ Open. 2025 Sep 4;15(9):e095932. doi: 10.1136/bmjopen-2024-095932. PubMed 40908013 ↗

Study documents

PDFs hosted by the registry, ClinicalTrials.gov.

Individual participant data

Plan to share: No

09

Updates

Tracking since Sep 25, 2026
No changes since tracking began. The registry record was last updated on Jul 16, 2025, before this site started recording changes on Sep 25, 2026. Its history is on ClinicalTrials.gov ↗
10

Registry details

Key details

Study ID
NCT05946083
Lead sponsor
University of Minho
Collaborators
Foundation for Science and Technology, Portugal
Responsible party
Eduardo López-Caneda (Assistant Reseacher, University of Minho) — Principal investigator
First posted
Jul 14, 2023
Start date
Feb 24, 2023
Primary completion
Jul 31, 2025 (estimated)
Completion
Nov 30, 2025 (estimated)
Last update
Jul 16, 2025

Study contacts

Eduardo G. López-Caneda, PhD
Contact
eduardo.lopez@psi.uminho.pt
(+351) 253 604 223
Clarisse N. Gonçalves, PhD
Contact
clarissenobre@deb.uminho.pt
Eduardo G. López-Caneda, PhD
principal investigator · Psychological Neuroscience Laboratory, Psychology Research Center, University of Minho, Portugal.

Oversight

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

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