A Probiotic Strategy for Antipsychotic-induced Metabolic Dysfunction (MetaboMicrobe)

December 9, 2024 updated by: University College Cork
Antipsychotic drugs are used to treat a range of psychiatric disorders including schizophrenia, bipolar disorders, and psychotic depression. Most antipsychotics are associated with significant weight gain and metabolic disturbances, which increase the risks for other diseases (obesity, diabetes, coronary diseases, etc.) and negatively impact medication adherence and quality of life. Evidence has shown that Olanzapine, for example, increases appetite, food intake, and food reward and modulates the gut microbiota. The gut microbiota can modulate adiposity, metabolism and immune-endocrine signals that impact host's energy balance and feeding behaviour. This, together with the fact that antipsychotic-induced remodelling of the gut microbiota has been associated with weight gain, suggests that microbiota-targeted interventions could help to alleviate or prevent the distressing side-effects of antipsychotic medications. The investigators have previously published promising data demonstrating anti-obesity effects of a novel Bifidobacterium longum APC1472, in a mouse model of obesity and in an overweight/obese population of humans, reducing levels of glucose and normalizing ghrelin levels. Because atypical antipsychotic medications are often used in people experiencing psychosis and the mechanisms of antipsychotic-induced weight gain and metabolic dysfunction have been suggested to include glucose intolerance (hyperglycaemia) and aberrant ghrelin signalling, the investigators propose to assess if adjunct supplementation of Bifidobacterium longum APC1472 can attenuate weight gain and metabolic side-effects associated with the use of atypical antipsychotic medication in people with non- affective psychosis. The investigators propose an exploratory patient-oriented research study, to assess the potential of adjunct Bifidobacterium longum APC1472 supplementation in individuals with psychosis receiving antipsychotic treatment, to ameliorate the liability to gain weight and/or normalize metabolic disturbances. Findings from this study will support clinical decision-making, increasing patient choice, and increase medication adherence, which will ultimately improve health and quality of life, and overall wellbeing of individuals as they pass through normal life stages.

Study Overview

Detailed Description

Schizophrenia is a mental illness associated with psychosis and is treated with antipsychotic medication. These medications are very effective; however, they are associated with side-effects that impact people's physical health. Substantial body weight gain occurs in up to half of people during long-term antipsychotic treatment. Antipsychotics can also increase glucose (sugar) and lipid (fat) levels in the blood, and the ones that do this the most, tend to be the same ones that cause the most weight gain. People taking antipsychotics regard weight gain as one of the most distressing side-effects caused by their medication. This weight gain often leads people to stop taking their antipsychotic treatment with a risk of their psychosis returning. People with psychosis die 15-20 years earlier than the general population. The leading cause of 'years of life' lost in this population is poor physical health. Heart disease and metabolic disorders are 1.4-2-fold more common in this population. Being overweight increases the risk of heart attack, stroke, and developing many physical illnesses and cancers. Furthermore, being overweight and experiencing psychosis are associated with reduced self-esteem, reduced quality of life, and stigma.

In a previous study by the investigating team, the investigators found that a bacteria found in the gut of healthy individuals, Bifidobacterium longum APC1472, was able to prevent obesity in mice treated with an antipsychotic. A second study conducted by the investigating team with people who were overweight or obese found that this type of bacteria, which may be developed into a new probiotic, improved sugar levels. The investigators are now looking to examine the impact this bacteria could have on the weight, blood sugars, and wellbeing of people treated with antipsychotic medication. Having access to a probiotic capsule that alleviates the most distressing side-effects of antipsychotic medications will benefit people who need these medications greatly.

Antipsychotic drugs are used to treat a range of psychiatric disorders including schizophrenia, bipolar disorders, and psychotic depression. Most antipsychotics are associated with significant weight gain and metabolic disturbances, which increase the risks for other diseases (obesity, diabetes, coronary diseases, etc.) and negatively impact medication adherence and quality of life. Evidence has shown that olanzapine, for example, increases appetite, food intake, and food reward and modulates the gut microbiota. The gut microbiota can modulate adiposity, metabolism and immune-endocrine signals that impact host's energy balance and feeding behaviour. This, together with the fact that antipsychotics induced remodeling of the gut microbiota has been associated with weight gain, suggests that microbiota-targeted interventions could help to alleviate or prevent the distressing side-effects of antipsychotic medications. The investigators have previously published promising data demonstrating anti-obesity effects of a novel Bifidobacterium longum APC1472, in a mouse model of obesity and in an overweight/obese population of humans, reducing levels of glucose and normalizing ghrelin levels. Because atypical antipsychotic medications are often used in people experiencing psychosis and the mechanisms of antipsychotic-induced weight gain and metabolic dysfunction have been suggested to include glucose intolerance (hyperglycaemia) and aberrant ghrelin signalling, the investigators propose to assess if adjunct supplementation of Bifidobacterium longum APC1472 can attenuate weight gain and metabolic side-effects associated with the use of atypical antipsychotic medication in people with non- affective psychosis. The investigators propose an exploratory patient-oriented research study, to assess the potential of adjunct Bifidobacterium longum APC1472 supplementation in individuals with psychosis receiving antipsychotic treatment, to ameliorate the liability to gain weight and/or normalize metabolic disturbances. Findings from this study will support clinical decision-making, increasing patient choice, and increase medication adherence, which will ultimately improve health and quality of life, and overall wellbeing of individuals as they pass through normal life stages.

A high percentage of individuals experiencing affective or a non-affective psychotic episode are treated with second-generation antipsychotics. While effective, most are associated with a significant liability for weight gain and metabolic disorders, negatively impacting adherence, health and quality of life. This study will explore the potential of a metabolically beneficial Bifidobacterium longum APC1472 to attenuate weight gain and metabolic side-effects in individuals with a non-affective psychosis, treated with antipsychotics.

Study Type

Interventional

Enrollment (Estimated)

70

Phase

  • Not Applicable

Contacts and Locations

This section provides the contact details for those conducting the study, and information on where this study is being conducted.

Study Contact

Study Locations

      • Cork, Ireland
        • Recruiting
        • EIST clinics at St Mary's Primary Care Centre, Gurraunabraher & St Michaels In-Patient unit in the Mercy.
        • Contact:
        • Contact:
      • Cork, Ireland
        • Recruiting
        • RISE Metabolic Monitoring Clinics
        • Contact:

Participation Criteria

Researchers look for people who fit a certain description, called eligibility criteria. Some examples of these criteria are a person's general health condition or prior treatments.

Eligibility Criteria

Ages Eligible for Study

  • Adult
  • Older Adult

Accepts Healthy Volunteers

No

Description

Inclusion Criteria:

  • 8.1 Inclusion Criteria To be considered eligible for enrolment into the study, subjects must;

    1. Aged between 18-65 years old including women of child-bearing age
    2. Having a diagnosis of affective or non-affective functional psychosis defined according to ICD-10 criteria for psychosis (codes F20-30 & F32.3)
    3. Patients who are able to and have given written informed consent
    4. Patients who are willing to provide blood samples
    5. Patients who are willing to provide saliva (cortisol) and faecal microbiome samples
    6. Considering the nature of the study participants, a broad spectrum of concomitant medication will be permissible. Psychotropic meds, including antidepressants, mood stabilisers (lithium, valproate, carbamazepine), hypnotics and benzodiazapines, will be allowed as to not limit recruitment of this type of study participant.

Exclusion Criteria:

  1. Intravenous drug use
  2. Diagnosis of substance dependence in the past 3 months
  3. Pregnancy or planning a pregnancy
  4. Antibiotic use in the past 30 days
  5. Steroid use in the past 30 days
  6. Use of anti-coagulants, anti-inflammatory drugs, over-the counter non-steroidal anti-inflammatories (NSAIDS) and analgesics. Subjects should have a wash-out period of 4 weeks.
  7. Patients suffering from any clinically significant or unstable medical condition, including congestive heart failure, coeliac disease, or an immunodeficiency syndrome.
  8. Pre or probiotic supplements within the past 30 days.

Study Plan

This section provides details of the study plan, including how the study is designed and what the study is measuring.

How is the study designed?

Design Details

  • Primary Purpose: Other
  • Allocation: Randomized
  • Interventional Model: Parallel Assignment
  • Masking: Quadruple

Arms and Interventions

Participant Group / Arm
Intervention / Treatment
Placebo Comparator: placebo
hydroxypropylmethylcellulose (HPMC) capsule with maltidextrin
maltodextrin
Active Comparator: active
Bifidobacterium longum APC1472 hydroxypropylmethylcellulose (HPMC) capsules
Bifidobacterium longum APC1472 capsule

What is the study measuring?

Primary Outcome Measures

Outcome Measure
Measure Description
Time Frame
Bifidobacterium longum on weight gain
Time Frame: change from baseline to 4, 8,12 weeks (end of study) and 18 weeks (washout)

Investigate if supplementation with Bifidobacterium longum APC1472 capsules can attenuate weight gain in male and female human patients with psychosis treated with antipsychotics (olanzapine, clozapine, risperidone, paliperidone, aripiprazole, cariprazine and quetiapine).

Primary outcome is the comparative end-point body weight (kg) between the placebo and probiotic groups to determine the effect of supplementation on antipsychotic-induced weight gain.

change from baseline to 4, 8,12 weeks (end of study) and 18 weeks (washout)
Bifidobacterium longum on glucose levels.
Time Frame: change from baseline to 4, 8, 12 weeks (end of study) and 18 weeks (washout)

Investigate if supplementation with Bifidobacterium longum APC1472 capsules can attenuate fasting levels of glucose in male and female human patients with psychosis treated with antipsychotics (olanzapine, clozapine, risperidone, paliperidone, aripiprazole, cariprazine and quetiapine).

Primary outcome is the comparative fasted glucose levels (measured in mg/dL or mmol/L) between the placebo and probiotic groups to determine the effect of supplementation on antipsychotic-induced high glucose levels.

change from baseline to 4, 8, 12 weeks (end of study) and 18 weeks (washout)

Secondary Outcome Measures

Outcome Measure
Measure Description
Time Frame
Bifidobacterium longum on waist-to-hip ratio
Time Frame: change from baseline to 4, 8, 12 weeks (end of study) and 18 weeks (washout)
• Effect of APC1472 on waist-to-hip ratio
change from baseline to 4, 8, 12 weeks (end of study) and 18 weeks (washout)
Bifidobacterium longum on metabolic syndrome markers
Time Frame: change from baseline to 4, 8, 12 weeks(end of study) and 18 weeks (washout)
Markers related to metabolic syndrome and cardiometabolic function analysed (Blood pressure, HbA1C, cholesterol, LDL, HDL, triglycerides Cholesterol), measured in mg/dL or mmol/L, pg/mL, (mmHg), mmol/mol or percent (%), where appropriate.
change from baseline to 4, 8, 12 weeks(end of study) and 18 weeks (washout)
Bifidobacterium longum on cortisol awakening response
Time Frame: change from baseline to 4, 8, 12 weeks (end of study) and 18 weeks (washout)
• Saliva samples assessed for cortisol awakening response (µg/dL or nmmol/L) and correlated with weight gain and metabolic markers.
change from baseline to 4, 8, 12 weeks (end of study) and 18 weeks (washout)
Bifidobacterium longum on treatment adherence
Time Frame: change from baseline to 4, 8, 12 weeks (end of study) and 18 weeks (washout)
Improvement in treatment adherence analysed using questionnaires (self-rated scales).
change from baseline to 4, 8, 12 weeks (end of study) and 18 weeks (washout)
Bifidobacterium longum on changes in food intake behavior
Time Frame: change from baseline to 4,8, 12 weeks (end of study) and 18 weeks (washout)
Changes in diet, appetite and food preference, using the FFQ and the Leeds Food Preference Questionnaire.
change from baseline to 4,8, 12 weeks (end of study) and 18 weeks (washout)

Other Outcome Measures

Outcome Measure
Measure Description
Time Frame
Bifidobacterium longum on neuroendocrine signalling
Time Frame: change from baseline to 4, 8, 12 weeks (end of study) and 18 weeks (washout)
• Exploratory outcomes measuring endocrine hormones, including ghrelin (active and total), leptin, insulin, PYY, GLP-1 (active and total) in pmol/L or pg/mL.
change from baseline to 4, 8, 12 weeks (end of study) and 18 weeks (washout)
Bifidobacterium longum on inflammatory markers
Time Frame: change from baseline to 4, 8, 12 weeks (end of study) and 18 weeks (washout)
• Exploratory outcomes measuring C-peptide (CRP), and other inflammatory cytokine levels (IFNγ, Il-4, IL-6 Il-10, TNF-a) in pmol/L or pg/mL.
change from baseline to 4, 8, 12 weeks (end of study) and 18 weeks (washout)
Bifidobacterium longum on gut microbiota
Time Frame: change from baseline to 4, 8, 12 weeks (end of study) and 18 weeks (washout)
Microbiota analysis using shotgun metagenomic analysis, to investigate the impact of Bifidobacterium longum APC1472 supplementation on the gut microbiota composition, diversity and volatility in human patients treated with antipsychotics. Analysis will use taxonomic and functional readouts, including alpha and beta diversity index.
change from baseline to 4, 8, 12 weeks (end of study) and 18 weeks (washout)

Collaborators and Investigators

This is where you will find people and organizations involved with this study.

Investigators

  • Principal Investigator: Harriet Schellekens, PhD, University College Cork

Study record dates

These dates track the progress of study record and summary results submissions to ClinicalTrials.gov. Study records and reported results are reviewed by the National Library of Medicine (NLM) to make sure they meet specific quality control standards before being posted on the public website.

Study Major Dates

Study Start (Actual)

May 16, 2024

Primary Completion (Estimated)

November 30, 2026

Study Completion (Estimated)

November 30, 2026

Study Registration Dates

First Submitted

November 19, 2024

First Submitted That Met QC Criteria

December 9, 2024

First Posted (Estimated)

December 11, 2024

Study Record Updates

Last Update Posted (Estimated)

December 11, 2024

Last Update Submitted That Met QC Criteria

December 9, 2024

Last Verified

December 1, 2024

More Information

Terms related to this study

Plan for Individual participant data (IPD)

Plan to Share Individual Participant Data (IPD)?

NO

Drug and device information, study documents

Studies a U.S. FDA-regulated drug product

No

Studies a U.S. FDA-regulated device product

No

This information was retrieved directly from the website clinicaltrials.gov without any changes. If you have any requests to change, remove or update your study details, please contact register@clinicaltrials.gov. As soon as a change is implemented on clinicaltrials.gov, this will be updated automatically on our website as well.

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