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Safety and feasibility of faecal microbiota transplant for major depressive disorder: study protocol for a pilot randomised controlled trial



Mental disorders, including major depressive disorder (MDD), are a leading cause of non-fatal burden of disease globally. Current conventional treatments for depression have significant limitations, and there have been few new treatments in decades. The microbiota-gut-brain-axis is now recognised as playing a role in mental and brain health, and promising preclinical and clinical data suggest Faecal Microbiota Transplants (FMT) may be efficacious for treating a range of mental illnesses. However, there are no existing published studies in humans evaluating the efficacy of FMT for MDD.

Methods and design

This protocol describes an 8-week, triple-blind, 2:1 parallel group, randomised controlled pilot trial (n = 15), of enema-delivered FMT treatment (n = 10) compared with a placebo enema (n = 5) in adults with moderate-to-severe MDD. There will be a further 26-week follow-up to monitor longer-term safety. Participants will receive four FMT or placebo enemas over four consecutive days. The primary aims of the study are to evaluate feasibility and safety of FMT as an adjunctive treatment for MDD in adults. Changes in gut microbiota will be assessed as a secondary outcome. Other data will be collected, including changes in depression and anxiety symptoms, and safety parameters.


Modification of the microbiota-gut-brain axis via FMT is a promising potential treatment for MDD, but there are no published rigorous clinical trials evaluating its use. If this study finds that our FMT strategy is safe and feasible, a larger fully powered RCT is planned. Further high-quality research in this field is urgently needed to address unmet need.

Trial registration

Australian and New Zealand Clinical Trials Registry: ACTRN12621000932864

Peer Review reports


Mental disorders, including major depressive disorder (MDD), are a leading cause of non-fatal burden of disease globally [1]. Current evidence-based treatments for MDD (i.e. antidepressants and psychotherapy) have limitations including limited efficacy, side effects, and cost, as well as access issues in the case of psychotherapy. Moreover, the economic pressure of mental disorders supersedes that of cancer, diabetes, and cardiovascular diseases [2]. Thus, the development of affordable and novel treatments for MDD that can augment existing strategies would be of significant benefit to patients and their families, to the healthcare system, and to the broader economy.


There is a well-established association between mental health and the gut microbiota that co-exist symbiotically in our gastrointestinal tract, referred to as the ‘microbiota-gut-brain axis’ [3, 4]. There are data linking various biological variables to the aetiology and maintenance of MDD; these have been extensively reviewed elsewhere, and include inflammatory mediators (e.g. elevations in c-reactive protein and inflammatory cytokines), metabolic factors (e.g. insulin resistance, metabolic syndrome), oxidative stress (e.g. reactive oxygen species and mitochondrial dysfunction), the hypothalamic-pituitary-adrenal (HPA)-axis (e.g. perturbations in cortisol), neurotransmitters (e.g. gamma-aminobutyric acid and serotonin precursors), neuropeptides (e.g. brain-derived neurotrophic factor (BDNF)), and other systems [3, 5]. Each of these systems are potentially influenced by the gut microbiota, and emerging evidence linking gut microbiota to brain and behaviour suggests that the gut may be a key modifiable target for mental and brain health [3].

Evidence for the potential role of gut microbiota in treating MDD

Differences in gut microbiota composition have been observed in depressed compared to non-depressed humans across several studies [4, 6,7,8,9,10]. Commonalities across studies include increased lactic acid producing bacteria such as Lactobacillus, Streptococcus, and Enterococcus, and reductions in bacteria with the capacity to produce the short-chain fatty acid butyrate, such as Faecalibacterium and Coprococcus [4, 11]. Additionally, there appears to be evidence of correlations between specific gut bacteria and depression symptomatology [4, 12]; however, few studies have explored this link, and the associations between MDD symptomatology, gut microbiota composition, and their functional potential are poorly understood.

Further to this, there is evidence supporting the potential efficacy of probiotics for depression and anxiety [13]. Meta-analyses of studies investigating probiotic supplementation as an adjunctive treatment for depression suggest that this treatment strategy may be effective for the reduction of depressive symptoms, particularly in those with clinical depression [14, 15], or alongside antidepressant therapy [16]. However, these treatments are limited to a single bacterial strain or, at best, a small number of strains. Conversely, faecal microbiota transplant (FMT), which encompasses a complete human gut microbiome containing thousands of potentially symbiotic strains [17], may have the potential to more effectively alter the composition of the gut microbiota, thus the influence of FMT on mental health symptoms warrants further exploration.

preclinical evidence supporting a trial of FMT for MDD

Experimental studies in rodents suggest that alterations of microbial composition of the gut via FMT can induce changes in behaviour [18, 19] and influence rodent models of psychiatric disorders [20]. A seminal study by Kelly et al. [7] provided the first evidence that the transfer of faecal matter from individuals with MDD into germ-free rodents could induce depression-like behaviours in the rodents, as well as other physiological features associated with depression such as changes in tryptophan metabolites. Remarkably, four further studies have now shown that the transfer of faeces from depressed humans into microbiota-depleted mice induces depression-like behaviours in the mice [21,22,23,24], and similar outcomes have also been observed in rodent models of schizophrenia [25]. Together, these preclinical studies provide foundational evidence of the potential utility of FMT for depression.

Evidence for FMT in neuropsychiatric disorders in humans

In humans, FMT is an established treatment for Clostridioides difficile infection (CDI) [26, 27], with a cure rate of 80–90%. It has also shown potential in a variety of other conditions [28,29,30], including gastrointestinal [31,32,33,34,35], autoimmune [36, 37], antibiotic-resistant organisms, hepatic disorders, metabolic [38, 39], and neuropsychiatric conditions [40, 41] including autism spectrum disorder [41]. Whilst to date no large scale studies in humans have investigated the use of FMT for psychiatric disorders, case studies suggest promising outcomes with respect to the treatment of depressive symptoms [42, 43] and bipolar disorder [44, 45]. Studies of FMT in people with irritable bowel syndrome [IBS]—which is commonly comorbid with psychiatric symptoms—have also shown improvements in mental health symptomatology [28, 40, 46, 47]. Case studies have also reported a reduced need for antidepressant medications in IBS patients post-FMT [48].

safety of FMT

The safety of FMT has been established across multiple patient populations [29], including immunocompromised [49] and paediatric populations [50], and over the long term [51]. Other studies have demonstrated FMT to be safe even in healthy recipients, not merely those with CDI and other health disorders [52]. Indeed, adverse reactions are rare and appear to be more frequently associated with delivery method [53,54,55] or the underlying disorder and/or symptoms for which FMT is being used [28], rather than the FMT itself. Indeed, our recent systematic review and meta-analysis of FMT studies for conditions other than CDI found more serious adverse events reported in the placebo group than in the group receiving the FMT intervention [28]. Of the adverse events observed in participants allocated to FMT, all but one such event was deemed unlikely to be related to the FMT. Moreover, rates of mild to moderate adverse events were similar between participants receiving FMT and those who received placebo.

Whilst most FMT studies report only mild and self-limiting adverse events [56], in 2019 a warning regarding the risks of FMT was released by the US Food and Drug Administration (FDA). This warning was in response to a death that occurred in an immunocompromised patient who received unscreened donor faeces containing antibiotic-resistant organisms, specifically, extended spectrum beta lactamase-producing Escherichia coli. This serious incident highlights the importance of adhering to rigorous donor screening protocols including screening thoroughly for antibiotic-resistant organisms. In Australia, the practice of FMT is now regulated by the Therapeutic Goods Administration (TGA), which includes strict, detailed, and comprehensive standards for the manufacture and supply of FMT. The FMT used in this study (the “Moving Moods Pilot Study”) utilises a product that meets the TGA standards.



The primary objectives for this study are to evaluate the feasibility and safety of FMT as an adjunctive treatment for MDD in adults. The secondary objective is to evaluate the impact of enema-delivered FMT on gut microbiota compared with a placebo enema in adults with MDD. As this study is not powered to evaluate efficacy, exploratory objectives include any changes observed in depression and anxiety symptoms, sleep, quality of life, level of function, gut symptomatology, blood biomarkers of neurogenesis, gut permeability, inflammation, and cardiometabolic parameters following delivery of FMT via enema compared with a placebo enema in adults with depression.

Study design

This study is an 8-week, triple-blind, 2:1 parallel group, randomised controlled pilot trial (n = 15), of enema-delivered FMT (n = 10) compared with a placebo enema ( n= 5) in adults with moderate-to-severe MDD. There will be a further 26-week follow-up for safety data.

Study intervention

Participants will receive a total of four doses of an FMT via enema (henceforward referred to as ‘active’), or four doses of placebo enema, as an adjunct to treatment as usual. The active FMT enema will comprise of syringes supplied by BiomeBank containing a total volume of 50 mL including 12.5 mg donor faeces: normal saline (0.9%) and 10% glycerol. The FMT was prepared in accordance with the Australian TGA standards which are described in detail on the TGA website (TGO-105: Standards for FMT) [57]. Briefly, anonymous, fit, and healthy volunteers aged 18–60 years undergo a rigorous screening process prior to donation, including a thorough medical interview and examination by a physician, and the collection of donor biological samples (stool, blood, and nasal swab) to ensure the absence of viral, bacterial, and parasitic pathogens. For a full overview of the donor screening process, see reference [58] (TGO-105: Standards for FMT) [57]. The placebo will consist of a visually identical placebo product containing a total volume of 50 mL including normal saline; 10% glycerol, and brown dye.


Participants will receive either four active or four placebo FMT delivered via an enema will be administered over four consecutive days to each participant by a research nurse. Assessments will be conducted at baseline, and then every 2-weeks until the primary end point (8 weeks). A further follow-up assessment will then occur at week 26 to capture long-term safety data. An outline of the study schedule is provided in Table 1 and the appointment schedule is summarised in Fig. 1. Participants, investigators, assessors, and study statisticians will be blinded to group allocation. This protocol is reported as per the Standard Protocol Items: Recommended for Intervention Trials (SPIRIT) guidelines [58], and the CONSORT extension for pilot and feasibility trials checklist [59]. All study procedures will be concordant with Good Clinical Practice (GCP) principles. The consent procedure is described below under the heading Consent and Enrolment.

Table 1 Schedule of assessments, instruments, and procedures to be implemented at each study appointment
Fig. 1
figure 1

Appointment schedule

Study setting

The trial will be conducted at a dedicated clinical trials facility at University Hospital Geelong, Victoria. This space includes appropriate consultation spaces and on-site equipment for intervention delivery and the collection of biological samples. This study will consist of 10 study appointments, six of which are in-person and four via telehealth (see Table 1 and Fig. 1).

The collection of blood samples will be performed by a qualified research nurse or phlebotomist, where markers of cardiovascular and metabolic disease risk (e.g. lipids, HbA1c, and blood glucose) will be assayed. Additional blood samples will be collected and transported to the Geelong Centre for Emerging and Infectious Disease (GCEID) laboratories in Geelong for additional blood analyses and long-term storage.

Stool samples will be collected by participants at home using a Microba (Queensland, Australia) stool sampling kit. Participants will then return the completed kits to research personnel at their study appointments. These stool samples will be de-identified (marked with a participant code only) and sent to Microba for metagenomic analyses.

Study population

This study aims to recruit 15 participants, aged 18 to 65 years of age, with a DSM-5 diagnosis of MDD (confirmed by a psychiatrist using the Structured Clinical Interview for DSM-5 (SCID-5) MDD module) [60] of moderate-to-severe range (defined as a Montgomery Asberg Depression Rating Scale (MADRS) score of greater than or equal to 20) [61]. Eligibility criteria are outlined in Table 2. The recruitment strategies are outlined in Table 3. Once participants have given consent and been screened and determined eligible for entry into the study, they will be randomised to either active FMT enema or placebo enema, which will be delivered on four consecutive days in the first week of the study. Participants will then be followed up fortnightly for 8 weeks, with a final appointment at week 26 to capture long-term safety data. The participant schedule and study outcomes are summarised in Table 1 and Fig. 1

Table 2 Eligibility criteria of participants enrolled in the Moving Moods Pilot Study
Table 3 Recruitment strategies

Follow-up appointments

Follow-up appointments will be conducted by a qualified member of the research team. The data collected at these assessments are summarised in Table 1.


The study appointment schedule is detailed in Table 1. Primary, secondary, and exploratory outcomes are described below.

Primary outcome measures

The primary outcomes for this study are (1) the feasibility and (2) safety of FMT as an adjunctive treatment for MDD in adults. The study outcomes, participant appointment schedule, and study timeline are outlined in Table 1 and Fig. 1.

Feasibility will be considered as a composite outcome, measured by the following:

  • The ability to meet recruitment targets (measured by recruitment logs, comparing actual recruitment against projected targets)

  • Participant retention and completion rates (measured by attrition rates and completeness of data)

  • Adherence to intended protocol (measured by completion of intervention as planned, missed appointments, technical difficulties arising, and completeness of study data)

  • Participant acceptability (measured using the TransCelerate Study Participant Feedback Questionnaire, plus the addition of questions designed specifically for this study)

  • Robustness of study methodology, including effectiveness of blinding (measured qualitatively based on feedback from researchers throughout and at the conclusion of the study, and a participant and researcher survey to assess blinding)

Safety of FMT as an adjunctive treatment in adults will be measured by an assessment of adverse events. These data will be collected through direct observations by the study nurse during administration of the intervention, and via participant reporting during the intervention and each appointment thereafter (measured at weeks 0, 2, 4, 6, 8, and 26). Participants will also be encouraged to contact the research team at any time to report adverse events outside of study appointments.

Secondary outcome measures

The secondary outcome measure of this study is changes in gut microbiota composition and functional potential, which will be measured via the following:

  1. 1.

    The degree of change in gut microbiota composition and functional potential in recipients, which will be assessed by observing changes in gut microbiota composition (alpha diversity, beta diversity, differential abundance of species) and functional potential at 2- and 8-weeks post-intervention compared with baseline.

  2. 2.

    The degree of microbial ‘engraftment’: degree to which the changes in gut microbiota composition and functional potential of recipients are concordant with the gut microbiota profiles of the donor stool post-active FMT and compared with placebo enema.

    1. a.

      Donor vs recipient at baseline (0 weeks)

    2. b.

      Donor vs recipient at 2 weeks (active FMT compared with placebo group)

    3. c.

      Donor vs recipient at 8 weeks (active FMT compared with placebo group)

Exploratory outcome measures

The following data will be collected as part of the primary feasibility outcome, described above. However, given the small sample size, it is expected that the study will be underpowered to measure significant changes in any of the following outcome measures. As such, these outcomes are considered “exploratory”. To avoid type I error inflation due to multiple comparisons, we aim to only record summary descriptions of these clinical outcomes. These exploratory outcomes are as follows:

  1. 1.

    Between-group differential change from baseline and weeks 2, 4, 6, and 8 in mental health symptoms as measured by the Montgomery-Asberg Depression Rating Scale (MADRS) and the Depression-Anxiety Stress Scale (DASS)

  2. 2.

    Between-group differential change from baseline and weeks 2, 4, 6, and 8 in quality of life as measured by the Assessment of Quality of Life-8 Dimension (AQoL-8D); this scale also allows the calculation of preference-based outcomes also known as utilities. Utility values will be used to calculate quality adjusted life years (QALYs), a common metric used in economic evaluations

  3. 3.

    Between-group differential change from baseline and weeks 2, 4, 6, and 8 in sleep as measured by the Pittsburgh Sleep Quality Index

  4. 4.

    Between-group differential change from baseline and weeks 2, 4, 6, and 8 in level of function as measured by the Sheehan Disability Scale

  5. 5.

    Between-group differential change from baseline and weeks 2, 4, 6, and 8 in gut symptomatology as measured by the Gastrointestinal Symptom Rating Scale (GSRS)

  6. 6.

    Between-group differential change from baseline and weeks 2 and 8 in in blood biomarkers of neurogenesis (e.g. brain-derived neurotrophic factor)

  7. 7.

    Between-group differential change from baseline and weeks 2 and 8 in cardiometabolic blood parameters (e.g. random lipid profile, random blood sugar levels and HbA1c)

  8. 8.

    Between-group differential change from baseline and weeks 2 and 8 in metabolic and cardiovascular risk factors assessed via physical exam, including heart rate, blood pressure, height, and weight

  9. 9.

    Cost effectiveness will be assessed from both health sector and societal perspectives. The cost of FMT via enema will be estimated and added to the cost of lost productivity and health care resources utilised by participants over the course of the trial using the Resource Utilization Questionnaire (measured at weeks 0 and 8)

  10. 10.

    Between-group differential change from baseline and weeks 2, 4, 6, and 8 in self rated overall improvement assessed using the Patient Global Impression of Change

  11. 11.

    Between-group differential change from baseline and weeks 2 and 8 in inflammation (e.g. macrophage inhibitory factor, interleukins 1b, 1ra, 6 and 10, soluble CD14, and high sensitivity C-reactive protein) will be measured in plasma and/or serum using immunoassays (e.g. solid phase sandwich ELISA assay)

  12. 12.

    Between-group differential change from baseline and weeks 2 and 8 in gut permeability (e.g. lipopolysaccharide binding protein and zonulin) will be measured in plasma and/or serum using immunoassays (e.g. solid phase sandwich ELISA assay)

Feasibility targets

Table 4 outlines pre-specified targets identified by the research team as a minimum standard that would indicate that the study design was feasible. These targets will also assist the study team to identify aspects of the trial that may need to be amended to improve future, large-scale trials.

Table 4 Feasibility targets

Sample size, power, and statistics

Feasibility analysis

As this is a feasibility study, it is not designed or powered to evaluate statistically significant changes in any of the parameters being assessed. Therefore, a qualitative synthesis of feasibility data will be reported.

Gut microbiota analyses

Longitudinal analysis of changes in gut microbiome composition will be performed within the RStudio [62] environment. Measures of gut microbiota alpha-diversity (e.g. Shannon Index, Simpson Index, Chao-1, ACE, evenness, Faith’s phylogenetic diversity) [63, 64] and beta-diversity (e.g. Bray-Curtis, Jaccard, Aitchison distance) [65] will be calculated for donors (baseline) and recipients (three timepoints: baseline, 2 weeks, 8 weeks post-intervention). Differences in alpha-diversity between donors and recipients (between groups) will be tested using the Mann-Whitney test and between each time point (within groups) will be compared using Kruskal-Wallis non-parametric test. An appropriate method will be used to correct for multiple comparisons. Permutational multivariate analysis of variance (PERMANOVA) and visualization with principal coordinate analysis (PCoA) will be used to estimate any differences in gut microbiota community structure (beta-diversity) between donors and recipients and in recipients over time. Differential abundance analyses will be conducted to compare the taxonomic composition of gut microbiota between donors and recipients and in recipients over time.

Trial allocation, sequence generation, and blinding

Allocation to treatment arms will be randomly assigned in a 2:1 ratio using permutated block randomisation. Unblinded researchers independent to the study team, utilising a simple randomisation method, will develop the randomisation sequence and assign participants to study arms. The unblinded researchers will allocate and package enema kits sequentially, and packaging will be identical to conceal treatment allocation and blinding. The study staff, investigators, trial biostatistician, nurses delivering the enemas, and participants will be blinded to group allocations.

Data storage and management

Participants will be allocated a unique study ID number on enrolment, and their data will be de-identified and coded with this unique study ID. Blood and stool samples collected will be stored in a minus 80 °C until analysis. Faecal samples will be sent to the Queensland-based laboratory, Microba, for metagenomic analysis. DNA will be extracted and then sequenced using an Illumina NovaSeq high-throughput sequencing platform. The sequences allow the microorganisms in the samples to be classified by comparing against reference databases so that the presence and abundance of the microorganisms present can be identified and reported. Questionnaire and other study data will be collected online and stored using the secure Deakin University REDCap server.

All written and electronic data, including source documents, informed consent forms, and ethics approval forms will be retained for at least 15 years from the end of the study, as is the GCP requirement for clinical trials. All research data from consenting participants, including gut microbiota sequencing data and pre-processing and analysis pipeline information, will also be stored in a secure data repository (Deakin Research Online) for long-term preservation and/or reuse by other researchers with appropriate ethical approval/consideration from their institution (for example, meta-analyses).

Data analysis and reporting

Reporting of findings will be in accordance with CONSORT extension for pilot and feasibility trials [59]. The study biostatistician responsible for the analysis of outcome data, as well as participants and patient assessors, will be blind to group allocation.

Impact of and response to participant withdrawal

Participants will be withdrawn from the study if they withdraw consent or at the discretion of the researcher given adverse events or loss to follow-up. Reasons for withdrawal will be documented, and participants will be asked whether they are willing to accept any further contact to assess short- and longer-term safety.

Management of adverse events

Managing risk

On enrolment, all participants will be required to provide details for their current or preferred general practitioner. In the case of a participant reporting suicidal ideation, plan, or intent, (a MADRS suicide item score of 5 or 6), the researcher will strongly encourage the participant to contact their general practitioner, and the researcher will also attempt to contact the general practitioner directly. In the case that a more serious concern for the immediate safety of the patient arises, such as severe suicidality with immediate risk, or an unreported recent suicide attempt, the researcher will contact a psychiatrist member of the team or take immediate action to ensure participant safety. This may involve—with the participant’s consent—contacting the treating general practitioner or other treating clinician, assisting the person in accessing relevant care, for instance by contacting ambulance or psychiatric emergency services.

Safety requirements

Study participants will be provided with contact details for the research team, and strongly encouraged to contact the research team at any point in the study to report adverse events or discuss concerns. In addition to this, there will be routine contact made every 2 weeks post-intervention until the 8-week primary endpoint, and an additional 26-week follow-up, to assess adverse events or side effects. In the circumstance of a severe or serious adverse event, participants will be encouraged to attend medical services.

If a severe or serious adverse event occurs, the re-identification protocol may need to occur, so that treating clinicians can know whether the participant received the FMT intervention or the placebo. Each participant will be issued a unique identifying number on enrolment which will be linked to the intervention that they were allocated. The unblinded research assistant will be contacted to reveal the treatment allocation of the participant, only if necessary for their medical care.

A data safety monitoring board (DSMB) will be implemented comprising of a clinician, a statistician, and a pharmacist. All members of the DSMB will be independent of the research to avoid conflicts of interest. The role of the DSMB will be to oversee the safety of the study. This will involve reviewing the study protocol, PICF and consent procedures, safety monitoring procedures, procedures relating to confidentiality and adverse events arising during the course of the study. In the event of a severe or serious adverse event, the DSMB will be promptly notified and will decide on whether to pause recruitment or halt the study.

Ethical, regulatory, and dissemination aspects

Consent and enrolment

Following primary expression of interest, via any of the above listed recruitment pathways, eligible participants will be directed to the study webpage for more details, where they will be able to register an expression of interest to be contacted by a member of the study team. Potentially eligible participants will be provided with a PICF. They will also be asked to nominate a time for a member of the research team to call them to discuss the study further and book in an initial study appointment. Participants will be given the option of signing the PICF with a member of the research team either in-person or via telehealth. Signed consent must be provided prior to study enrolment.

Consent will also be obtained from participant to send reminder texts prior to appointments.

Should participants have any conditions or commitments that preclude them from participating immediately, participants will be asked to nominate their preferred starting date within the trial period. Consent will be obtained to send participants reminders via email and phone.

Consent will be confirmed again at the initial screening appointment. Participants will be made aware that they can withdraw consent (primary or extended) at any point

Plans for return of results of research to participants

At the conclusion of this study, a summary of results including aggregated results and their personal microbiome analysis report will be returned to participants via email or postal mail depending on their preference.

Plans for dissemination and publication of project outcomes

After approval by the coordinating principal investigator, sub-investigators, and statistician, results of the study will be published in peer-reviewed scientific journals and presented at scientific conferences and to lay audiences where applicable. Results will be published after termination of the study. The order of authors will be at the discretion of the coordinating investigators. Factors that the coordinating investigator may take into consideration are the following: securing funding for the study, participation in organising the study, participation in meetings and the on-going development of the study, manuscript preparation, and general involvement in the study.

Project closure processes

At the conclusion of the project, arrangements shall be made for retention of all data relating to the project (including raw and electronic data, and PICFs); this will be retained for at least 15 years following the closure of the database. With participant consent, biological products will be retained for up to 15 years, and contact details will be kept on record so that participants can be contacted again for participation in future research.

Plans for sharing and/or future use of data and/or follow-up research

This project is inter-departmental and interdisciplinary. Data will be shared between the respective groups involved in its execution. There are plans for future use of the data and product developed in this project. If this project proves to be feasible, our group intends to use the same or similar enema FMT product and protocol and test its efficacy in a larger randomised controlled trial powered to detect changes in depressive symptomatology.


Despite the promising body of evidence and biological rationale to support the efficacy of FMT in MDD, the known relationship between intestinal dysbiosis and MDD [7, 23, 66,67,68], and the established efficacy of FMT in altering intestinal microbiota [69,70,71], there have been no published studies to date examining the impact of FMT on MDD in humans. FMT may represent a safe, fast, and effective way of treating MDD. This is potentially highly significant given the enormous psychosocial and economic burden of depression, and the limitations of existing treatment options. These factors provide compelling support for investigating the use of FMT in MDD.

As described above, substantial phase I evidence already exists for the safety of FMT across a broad range of indications [29], including immune-compromised populations [49] and in the long term [51]. This study is the first randomized, triple-blind, placebo-controlled feasibility trial assessing the feasibility, tolerability, and acceptability of FMT in the treatment of MDD in adults.

The present study has a long follow-up period (6 months), allowing for longer-term safety data and monitoring. The results of the present study will have multiple applications. Firstly, if the study is found to be feasible, they will be used to support and inform a fully powered efficacy study, which will also utilise a randomised, triple-blind, placebo-controlled design. Secondly, the study will allow us to determine whether enema-delivered FMT is acceptable to people with depression; this is important given the nature of this intervention, with the requirement to attend a clinic on four consecutive days to receive an intervention. Thirdly, assessing changes in gut microbiota and the degree to which any gut microbiota changes are concordant with the donor microbiota may yield useful information regarding dosing and frequency. Moreover, examination of possible biomarker changes that are linked to MDD, and in many cases the gut microbiota, may yield insights into mechanistic processes prompted by FMT. Fourth, although not powered to detect efficacy endpoints, some initial suggestions of potential changes in symptomatology and measures of well-being and functioning may be useful in understanding the sample size required for a scaled RCT. Finally, collecting and analysing initial cost-efficacy data will also inform the next steps in the application of this intervention in a clinical setting.

Choice of enema as a delivery route was based upon numerous factors, including feasibility, resource utilisation, safety, tolerability, patient preference, and efficacy. The most poorly tolerated and highest risk deliveries of FMT are via colonoscopy or nasogastric/nasoduodenal delivery [28]. Nasogastric/nasoduodenal delivery methods carry small but non-zero risks of perforation, aspiration, and vomiting, and are technically more complex to perform. Whilst considered the most efficacious, the colonoscopic route is also complex to perform in a research setting; this process requires a gastroenterologist, is more resource intensive, invasive, and has theoretical risks associated with use of sedation, bowel preparation and a risk of perforation, notwithstanding limitations in translation and dissemination [72]. On the other hand, whilst encapsulated FMT is considered a safe and efficacious route [73, 74], this product is not yet widely available in Australia.

Enema delivery is a widely used route of administration for FMT. It has several advantages including availability, safety, tolerability, and efficacy [72]. Additionally, FMT via enema does not require clinician-specific expertise to administer, is more affordable, and generally considered a more feasible option for delivery [72]. FMT via enema has been demonstrated to be efficacious at restoring gut microbiota following disruption by antibiotics [75]. Moreover, it has been shown to be safe and efficacious in the long term [76], and even in higher risk populations such as children [50]. Therefore, in balancing these many considerations, we have chosen FMT via enema as the route of administration for our current study.

The primary limitation of this study is the small sample size, meaning that the study will not be powered to statistically measure any of the intended secondary outcomes, and for this reason these are considered exploratory outcomes rather than secondary outcomes. However, the primary aim of the program is to explore feasibility, which the study has been designed to evaluate. If found to be feasible, a full-scale RCT is planned which would be adequately powered to evaluate efficacy as a primary outcome and will be powered to evaluate the secondary and exploratory outcomes of this feasibility study.


  1. GBD 2019 Mental Disorders Collaborators. Global, regional, and national burden of 12 mental disorders in 204 countries and territories, 1990-2019: a systematic analysis for the Global Burden of Disease Study 2019. Lancet Psychiatry. 2022;9(2):137–50. Epub 2022 Jan 10.

  2. Bloom DE, Cafiero ET, Jané-Llopis E, Abrahams-Gessel S, Bloom LR, Fathima S, et al. The global economic burden of noncommunicable diseases. PGDA Working Papers 8712, Program on the Global Demography of Aging. Geneva; 2011.

  3. Cryan JF, O'Riordan KJ, Cowan CSM, Sandhu KV, Bastiaanssen TFS, Boehme M, et al. The Microbiota-Gut-Brain Axis. Physiol Rev. 2019;99(4):1877–2013.

    CAS  Google Scholar 

  4. McGuinness AJ, Davis JA, Dawson SL, Loughman A, Collier F, O’Hely M, et al. A systematic review of gut microbiota composition in observational studies of major depressive disorder, bipolar disorder and schizophrenia. Mole Psychiatry. 2022.

  5. Penninx BW, Milaneschi Y, Lamers F, Vogelzangs N. Understanding the somatic consequences of depression: biological mechanisms and the role of depression symptom profile. BMC Med. 2013;11:129.

    Google Scholar 

  6. Huang Y, Shi X, Li Z, Shen Y, Shi X, Wang L, et al. Possible association of Firmicutes in the gut microbiota of patients with major depressive disorder. Neuropsychiatr Dis Treat. 2018;14:3329–37.

    CAS  Google Scholar 

  7. Kelly JR, Borre Y, O’ Brien C, Patterson E, El Aidy S, Deane J, et al. Transferring the blues: Depression-associated gut microbiota induces neurobehavioural changes in the rat. J Psychiatr Res. 2016;82:109–18.

    Google Scholar 

  8. Lai WT, Deng WF, Xu SX, Zhao J, Xu D, Liu YH, et al. Shotgun metagenomics reveals both taxonomic and tryptophan pathway differences of gut microbiota in major depressive disorder patients. Psychol Med. 2021;51(1):90–101. Epub 2019 Nov 5.

  9. Liu RT, Rowan-Nash AD, Sheehan AE, Walsh RFL, Sanzari CM, Korry BJ, et al. Reductions in anti-inflammatory gut bacteria are associated with depression in a sample of young adults. Brain Behav Immun. 2020;88:308–24. Epub 2020 Mar 27.

  10. Rong H, Xie XH, Zhao J, Lai WT, Wang MB, Xu D, et al. Similarly in depression, nuances of gut microbiota: Evidences from a shotgun metagenomics sequencing study on major depressive disorder versus bipolar disorder with current major depressive episode patients. J Psychiatr Res. 2019;113:90–9.

    Google Scholar 

  11. Valles-Colomer M, Falony G, Darzi Y, Tigchelaar EF, Wang J, Tito RY, et al. The neuroactive potential of the human gut microbiota in quality of life and depression. Nat Microbiol. 2019;4(4):623–32.

    CAS  Google Scholar 

  12. Simpson CA, Diaz-Arteche C, Eliby D, Schwartz OS, Simmons JG, Cowan CSM. The gut microbiota in anxiety and depression - a systematic review. Clin Psychol Rev. 2021;83:101943.

    Google Scholar 

  13. Liu RT, Walsh RFL, Sheehan AE. Prebiotics and probiotics for depression and anxiety: A systematic review and meta-analysis of controlled clinical trials. Neurosci Biobehav Rev. 2019;102:13–23.

    CAS  Google Scholar 

  14. Chao L, Liu C, Sutthawongwadee S, Li Y, Lv W, Chen W, et al. Effects of Probiotics on Depressive or Anxiety Variables in Healthy Participants Under Stress Conditions or With a Depressive or Anxiety Diagnosis: A Meta-Analysis of Randomized Controlled Trials. Front Neurol. 2020;11:421.

    Google Scholar 

  15. El Dib R, Periyasamy AG, de Barros JL, Franca CG, Senefonte FL, Vesentini G, et al. Probiotics for the treatment of depression and anxiety: a systematic review and meta-analysis of randomized controlled trials. Clin Nutr ESPEN. 2021;45:75–90.

    Google Scholar 

  16. Nikolova VL, Cleare AJ, Young AH, Stone JM. Updated review and meta-analysis of probiotics for the treatment of clinical depression: adjunctive vs. stand-alone treatment. J Clin Med. 2021;10(4):647.

    Article  CAS  Google Scholar 

  17. Strandwitz P, Kim KH, Terekhova D, Liu JK, Sharma A, Levering J, et al. GABA-modulating bacteria of the human gut microbiota. Nat Microbiol. 2019;4(3):396–403. Epub 2018 Dec 10.

  18. Bercik P, Denou E, Collins J, Jackson W, Lu J, Jury J, et al. The intestinal microbiota affect central levels of brain-derived neurotropic factor and behavior in mice. Gastroenterology. 2011;141(2):599–609 e1-3.

    CAS  Google Scholar 

  19. Bruce-Keller AJ, Salbaum JM, Luo M, Et B, Taylor CM, Welsh DA, et al. Obese-type gut microbiota induce neurobehavioral changes in the absence of obesity. Biol Psychiatry. 2015;77(7):607–15.

    Google Scholar 

  20. Schmidt EKA, Torres-Espin A, Raposo PJF, Madsen KL, Kigerl KA, Popovich PG, et al. Fecal transplant prevents gut dysbiosis and anxiety-like behaviour after spinal cord injury in rats. PLoS One. 2020;15(1):e0226128.

    CAS  Google Scholar 

  21. Huang C, Yang X, Zeng B, Zeng L, Gong X, Zhou C, et al. Proteomic analysis of olfactory bulb suggests CACNA1E as a promoter of CREB signaling in microbiota-induced depression. J Proteomics. 2019;194:132–47.

    CAS  Google Scholar 

  22. Knudsen JK, Michaelsen TY, Bundgaard-Nielsen C, Nielsen RE, Hjerrild S, Leutscher P, et al. Faecal microbiota transplantation from patients with depression or healthy individuals into rats modulates mood-related behaviour. Sci Rep. 2021;11(1):21869.

    CAS  Google Scholar 

  23. Zheng P, Zeng B, Zhou C, Liu M, Fang Z, Xu X, et al. Gut microbiome remodeling induces depressive-like behaviors through a pathway mediated by the host's metabolism. Molecular psychiatry. 2016;21(6):786–97.

    CAS  Google Scholar 

  24. Liu S, Guo R, Liu F, Yuan Q, Yu Y, Ren F. Gut microbiota regulates depression-like behavior in rats through the neuroendocrine-immune-mitochondrial pathway. Neuropsychiatr Dis Treat. 2020;16:859–69.

    CAS  Google Scholar 

  25. Zheng P, Zeng B, Liu M, Chen J, Pan J, Han Y, et al. The gut microbiome from patients with schizophrenia modulates the glutamate-glutamine-GABA cycle and schizophrenia-relevant behaviors in mice. Sci Adv. 2019;5(2):eaau8317.

    CAS  Google Scholar 

  26. Gough E, Shaikh H, Manges AR. Systematic review of intestinal microbiota transplantation (fecal bacteriotherapy) for recurrent Clostridium difficile infection. Clin Infect Dis. 2011;53(10):994–1002.

    Google Scholar 

  27. Drekonja D, Reich J, Gezahegn S, Greer N, Shaukat A, MacDonald R, et al. Fecal Microbiota Transplantation for Clostridium difficile Infection: a systematic review. Ann Int Med. 2015;162(9):630–8.

    Google Scholar 

  28. Green JE, Davis JA, Berk M, Hair C, Loughman A, Castle D, et al. Efficacy and safety of fecal microbiota transplantation for the treatment of diseases other than Clostridium difficile infection: a systematic review and meta-analysis. Gut Microbes. 2020;12(1):1–25.

    Google Scholar 

  29. Bafeta A, Yavchitz A, Riveros C, Batista R, Ravaud P. Methods and reporting studies assessing fecal microbiota transplantation: a systematic review. Ann Int Med. 2017;167(1):34–9.

    Google Scholar 

  30. Sha S, Liang J, Chen M, Xu B, Liang C, Wei N, et al. Systematic review: faecal microbiota transplantation therapy for digestive and nondigestive disorders in adults and children. Alimentary Pharm Therapeut. 2014;39(10):1003–32.

    CAS  Google Scholar 

  31. Qazi T, Amaratunga T, Barnes EL, Fischer M, Kassam Z, Allegretti JR. The risk of inflammatory bowel disease flares after fecal microbiota transplantation: Systematic review and meta-analysis. Gut Microbes. 2017;8(6):574–88.

    Google Scholar 

  32. Johnsen PH, Hilpusch F, Cavanagh JP, Leikanger IS, Kolstad C, Valle PC, et al. Faecal microbiota transplantation versus placebo for moderate-to-severe irritable bowel syndrome: a double-blind, randomised, placebo-controlled, parallel-group, single-centre trial. Lancet Gastroenterol Hepatol. 2018;3(1):17–24.

    Google Scholar 

  33. Pinn D, Aroniadis O, Brandt L. Follow-up study of fecal microbiota transplantation (FMT) for the treatment of refractory irritable bowel syndrome (IBS). Am J Gastroenterol. 2013;108:S563.

    Google Scholar 

  34. Borody TJ, George L, Andrews P, Brandl S, Noonan S, Cole P, et al. Bowel-flora alteration: a potential cure for inflammatory bowel disease and irritable bowel syndrome? Med J Aust. 1989;150(10):604.

    CAS  Google Scholar 

  35. Borody TJ, Warren EF, Leis SM, Surace R, Ashman O, Siarakas S. Bacteriotherapy using fecal flora: toying with human motions. J Clin Gastroenterol. 2004;38(6):475–83.

    Google Scholar 

  36. Xu M-Q, Cao H-L, Wang W-Q, Wang S, Cao X-C, Yan F, et al. Fecal microbiota transplantation broadening its application beyond intestinal disorders. World J Gastroenterol. 2015;21(1):102–11.

    CAS  Google Scholar 

  37. Luckey D, Gomez A, Murray J, White B, Taneja V. Bugs & us: The role of the gut in autoimmunity. Indian J Med Res. 2013;138(5):732–43.

    CAS  Google Scholar 

  38. Greenhill C. Microbiota: FMT transiently improves insulin sensitivity. Nat Rev Endocrinol. 2017;13(12):688.

    Google Scholar 

  39. Marotz CA, Zarrinpar A. Treating Obesity and Metabolic Syndrome with Fecal Microbiota Transplantation. Yale J Biol Med. 2016;89(3):383–8.

    CAS  Google Scholar 

  40. Kurokawa S, Kishimoto T, Mizuno S, Masaoka T, Naganuma M, Liang KC, et al. The effect of fecal microbiota transplantation on psychiatric symptoms among patients with irritable bowel syndrome, functional diarrhea and functional constipation: An open-label observational study. J Affect Disord. 2018;235:506–12.

    Google Scholar 

  41. Kang DW, Adams JB, Gregory AC, Borody T, Chittick L, Fasano A, et al. Microbiota Transfer Therapy alters gut ecosystem and improves gastrointestinal and autism symptoms: An open-label study. Microbiome. 2017;5(1):10.

    Google Scholar 

  42. Cai T, Shi X, Yuan LZ, Tang D, Wang F. Fecal microbiota transplantation in an elderly patient with mental depression. Int Psychogeriatr. 2019;31(10):1525–6.

    Google Scholar 

  43. Xie WR, Yang XY, Xia HH, Wu LH, He XX. Hair regrowth following fecal microbiota transplantation in an elderly patient with alopecia areata: a case report and review of the literature. World J Clin Cases. 2019;7(19):3074–81.

    Google Scholar 

  44. Parker G, Spoelma MJ, Rhodes N. Faecal microbiota transplantation for bipolar disorder: A detailed case study. Bipolar Disord. 2022;24(5):559–63. Epub 2022 Feb 20.

  45. Hinton R. A case report looking at the effects of faecal microbiota transplantation in a patient with bipolar disorder. Aust New Zealand J Psychiatry. 2020;54(6):649–50.

    Google Scholar 

  46. El-Salhy M, Hatlebakk JG, Gilja OH, Brathen Kristoffersen A, Hausken T. Efficacy of faecal microbiota transplantation for patients with irritable bowel syndrome in a randomised, double-blind, placebo-controlled study. Gut. 2020;69(5):859–67.

    CAS  Google Scholar 

  47. Huang HL, Chen HT, Luo QL, Xu HM, He J, Li YQ, et al. Relief of irritable bowel syndrome by fecal microbiota transplantation is associated with changes in diversity and composition of the gut microbiota. J Dig Dis. 2019;20(8):401–8.

    CAS  Google Scholar 

  48. Collyer R, Clancy A, Borody T. Faecal microbiota transplantation alleviates symptoms of depression in individuals with irritable bowel syndrome: a case series. Med Microecol. 2020;6:100029.

  49. Kelly CR, Ihunnah C, Fischer M, Khoruts A, Surawicz C, Afzali A, et al. Fecal microbiota transplant for treatment of Clostridium difficile infection in immunocompromised patients. Am J Gastroenterol. 2014;109(7):1065–71.

    Google Scholar 

  50. Kunde S, Pham A, Bonczyk S, Crumb T, Duba M, Conrad H Jr, et al. Safety, tolerability, and clinical response after fecal transplantation in children and young adults with ulcerative colitis. J Pediatr Gastroenterol Nutr. 2013;56(6):597–601.

    Google Scholar 

  51. Brandt LJ, Aroniadis OC, Mellow M, Kanatzar A, Kelly C, Park T, et al. Long-term follow-up of colonoscopic fecal microbiota transplant for recurrent Clostridium difficile infection. Am J Gastroenterol. 2012;107(7):1079–87.

    Google Scholar 

  52. Goloshchapov OV, Olekhnovich EI, Sidorenko SV, Moiseev IS, Kucher MA, Fedorov DE, et al. Long-term impact of fecal transplantation in healthy volunteers. BMC Microbiol. 2019;19(1):312.

    CAS  Google Scholar 

  53. Wang S, Cao H, Wang B. Systematic review: Adverse events of fecal microbiota transplantation. J Gastroenterol Hepatol (Australia). 2016;31:155.

    Google Scholar 

  54. Schwartz M, Gluck M, Koon S. Norovirus gastroenteritis after fecal microbiota transplantation for treatment of Clostridium difficile infection despite asymptomatic donors and lack of sick contacts. Am J Gastroenterol. 2013;108(8):1367.

    Google Scholar 

  55. Baxter M, Colville A. Adverse events in faecal microbiota transplant: a review of the literature. J Hosp Infect. 2016;92(2):117–27.

    CAS  Google Scholar 

  56. Wang S, Xu M, Wang W, Cao X, Piao M, Khan S, et al. Systematic Review: Adverse Events of Fecal Microbiota Transplantation. PLoS One. 2016;11(8):e0161174.

    Google Scholar 

  57. Administration TG. Faecal microbiota transplant products regulation TGA Website: TGA; 2021 [updated 30/6/21. Available from:

  58. Chan A-W, Tetzlaff JM, Altman DG, Laupacis A, Gøtzsche PC, Krleža-Jerić K, et al. SPIRIT 2013 statement: defining standard protocol items for clinical trials. Ann Int Med. 2013;158(3):200–7.

    Google Scholar 

  59. Eldridge SM, Chan CL, Campbell MJ, Bond CM, Hopewell S, Thabane L, et al. CONSORT 2010 statement: extension to randomised pilot and feasibility trials. BMJ. 2016;355:i5239.

    Google Scholar 

  60. First MB. Structured Clinical Interview for the DSM (SCID). The Encyclopedia of Clinical Psychology. p. 1-6.

  61. Williams JB, Kobak KA. Development and reliability of a structured interview guide for the Montgomery Asberg Depression Rating Scale (SIGMA). Br J Psychiatry. 2008;192(1):52–8.

    Google Scholar 

  62. Team R. RStudio: Integrated Development Environment for R. Boston: RStudio, PBC; 2022.

    Google Scholar 

  63. Callahan BJ, Sankaran K, Fukuyama JA, McMurdie PJ, Holmes SP. Bioconductor Workflow for Microbiome Data Analysis: from raw reads to community analyses. F1000Res. 2016;5:1492.

    Google Scholar 

  64. Willis AD. Rarefaction, Alpha Diversity, and Statistics. Front Microbiol. 2019;10:2407.

    Google Scholar 

  65. Wagner BD, Grunwald GK, Zerbe GO, Mikulich-Gilbertson SK, Robertson CE, Zemanick ET, et al. On the use of diversity measures in longitudinal sequencing studies of microbial communities. Front Microbiol. 2018;9:1037.

    Google Scholar 

  66. Aizawa E, Tsuji H, Asahara T, Takahashi T, Teraishi T, Yoshida S, et al. Possible association of Bifidobacterium and Lactobacillus in the gut microbiota of patients with major depressive disorder. J Affect Disord. 2016;202:254–7.

    Google Scholar 

  67. Jiang H, Ling Z, Zhang Y, Mao H, Ma Z, Yin Y, et al. Altered fecal microbiota composition in patients with major depressive disorder. Brain Behav Immun. 2015;48:186–94.

    Google Scholar 

  68. Naseribafrouei A, Hestad K, Avershina E, Sekelja M, Linlokken A, Wilson R, et al. Correlation between the human fecal microbiota and depression. Neurogastroenterol Motility. 2014;26(8):1155–62.

    CAS  Google Scholar 

  69. Halkjaer SI, Christensen AH, Lo BZS, Browne PD, Gunther S, Hansen LH, et al. Faecal microbiota transplantation alters gut microbiota in patients with irritable bowel syndrome: results from a randomised, double-blind placebo-controlled study. Gut. 2018;67(12):2107–15.

    CAS  Google Scholar 

  70. Flannigan KL, Rajbar T, Moffat A, McKenzie LS, Dicke F, Rioux K, et al. Changes in composition of the gut bacterial microbiome after fecal microbiota transplantation for recurrent clostridium difficile infection in a pediatric heart transplant patient. Front Cardiovasc Med. 2017;4:17.

    Google Scholar 

  71. Khanna S, Vazquez-Baeza Y, González A, Weiss S, Schmidt B, Muñiz-Pedrogo DA, et al. Changes in microbial ecology after fecal microbiota transplantation for recurrent C. difficile infection affected by underlying inflammatory bowel disease. Microbiome. 2017;5(1):55.

    Google Scholar 

  72. Fadda HM. The Route to Palatable Fecal Microbiota Transplantation. AAPS PharmSciTech. 2020;21(3):114.

    Google Scholar 

  73. Jiang Z-D, Jenq RR, Ajami NJ, Petrosino JF, Alexander AA, Ke S, et al. Safety and preliminary efficacy of orally administered lyophilized fecal microbiota product compared with frozen product given by enema for recurrent Clostridium difficile infection: a randomized clinical trial. PloS one. 2018;13(11):e0205064-e.

    Google Scholar 

  74. Youngster I, Mahabamunuge J, Systrom HK, Sauk J, Khalili H, Levin J, et al. Oral, frozen fecal microbiota transplant (FMT) capsules for recurrent Clostridium difficile infection. BMC Med. 2016;14(1):134.

    Google Scholar 

  75. Verdier C, Denis S, Gasc C, Boucinha L, Uriot O, Delmas D, et al. Research Square. 2021.

    Google Scholar 

  76. Lee CH, Chai J, Hammond K, Jeon SR, Patel Y, Goldeh C, et al. Long-term durability and safety of fecal microbiota transplantation for recurrent or refractory Clostridioides difficile infection with or without antibiotic exposure. Eur J Clin Microbiol Infect Dis. 2019;38(9):1731–5.

    CAS  Google Scholar 

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MB is supported by a NHMRC Senior Principal Research Fellowship (1156072). Over the last 3 years, MB received grant/research support from National Health and Medical Research Council, Wellcome Trust, Medical Research Future Fund, Victorian Medical Research Acceleration Fund, Centre for Research Excellence CRE, Victorian Government Department of Jobs, Precincts and Regions and Victorian COVID-19 Research Fund. He received honoraria from Springer, Oxford University Press, Cambridge University Press, Allen and Unwin, Lundbeck, Controversias Barcelona, Servier, Medisquire, HealthEd, ANZJP, EPA, Janssen, Medplan, Milken Institute, RANZCP, Abbott India, ASCP, Headspace and Sandoz. AM has received funding from Australian Rotary Health via the Australian Rotary Health/Ten Island Tassie Tag Along Tour Funding Partner PhD Scholarship. Over the past 36 months, DC has received grant monies for research from Servier, Boehringer Ingelheim; Travel Support and Honoraria for Talks and Consultancy from Servier, Seqirus, Lundbeck. He is a founder of the Optimal Health Program (OHP), and holds 50% of the IP for OHP; and is part owner (5%) of Clarity Healthcare. DC is an Advisory Board Chair of a not-for-profit institute specialising in psychedelic medicines research. He does not knowingly have stocks or shares in any pharmaceutical company. PS is a founder and employee of Holobiome Inc. This affiliation did not influence design of the trial.


This study is funded by Wilson Foundation, a philanthropic organisation. The gut microbiota analyses are supported by Holobiome. The study is sponsored by Deakin University. Both the study funders and sponsors are completely independent of the study design and oversight.

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JG was responsible for coordination and development of the study design. She drafted the manuscript, edited it, and approved the final version for publication. FJ is the Coordinating Principal Investigator for the study, whilst JG, MB, DC, EA, CH, AN, and JC are additional Principal Investigators for the study. FJ, MB, DC, EA, and CH contributed to the development of the study design and trial schema, edited the manuscript, and approved the final version for publication. AL, AM, and MM contributed to the statistical and microbiome analysis plan and editing the manuscript. PS provided consultation around microbiota analysis but was not directly involved in study design. All authors read and approved the final manuscript.

Corresponding author

Correspondence to Jessica E. Green.

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The study has received ethics approval from Barwon Health Research Ethics Governance and Integrity Committee (reference #21/56). The active FMT and placebo products will be provided by a commercial supplier (BiomeBank, South Australia). This study is registered with the Australia and New Zealand Clinical Trials Registry under the identifier ACTRN12621000932864.

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The authors declare that they have no competing interests.

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Green, J.E., McGuinness, A.J., Berk, M. et al. Safety and feasibility of faecal microbiota transplant for major depressive disorder: study protocol for a pilot randomised controlled trial. Pilot Feasibility Stud 9, 5 (2023).

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