FMT for Post-acute COVID-19 Syndrome (FMT-PACS)

Faecal Microbiota Transplantation for Post-acute COVID-19 Syndrome: a Pilot Open-label Study

In recovered COVID-19 patients, emerging global data have reported the presence of long COVID, that is, at least one symptom that an alternative diagnosis cannot explain has been persistent for four or more weeks after the initial infection. We demonstrated previously that almost 80% of recovered COVID-19 patients in Hong Kong suffer from Long COVID for more than 6 months, affecting multiple body systems.

In a recent study, the five most common Long COVID symptoms were fatigue, memory problem, difficulty sleeping, anxiety and hair loss. One promising hypothesis is the involvement of the gut microbiota, a collection of the trillions of gut microorganisms that play important immunomodulatory roles against infections.

Faecal microbiota transplantation (FMT), which is the infusion of processed faeces from healthy donors to the gut of affected subjects, has shown impressive therapeutic effects for recurrent Clostridioides difficile infection and other emerging indications. Gut microorganisms together with the metabolites in the donated faeces could potentially modulate the gut microbiota of the recipient and treat the dysbiosis associated with pathological health conditions. To date, no study has yet to assess the therapeutic effects of FMT in post-COVID-19 neuropsychiatric conditions.

Study Overview

• Status: Active, not recruiting
• Conditions: COVID-19; Post-Acute COVID19 Syndrome
• Intervention / Treatment: Procedure: Faecal Microbiota Transplantation

Detailed Description

Coronavirus Disease 2019 (COVID-19) is the disease caused by a novel coronavirus SARS- CoV-2. In recovered COVID-19 patients, emerging global data have reported the presence of Long COVID, a condition where at least one symptom that cannot be explained by alternative diagnosis has been persistent for four or more weeks after the initial infection. We demonstrated previously that almost 80% of recovered COVID-19 patients in Hong Kong suffer from Long COVID for more than 6 months, affecting multiple body systems.

In a recent study, the five most common Long COVID symptoms were fatigue, memory problem, difficulty sleeping, anxiety and hair loss. Current treatment for Long COVID only involves symptomatic care, as the exact mechanisms underlying the pathogenesis are still largely unknown. One promising hypothesis is the involvement of the gut microbiota, a collection of the trillions of gut microorganisms that play important immunomodulatory roles against infections. Our recently published findings have shown that patients with Long COVID had a less diverse gut microbiota with significantly fewer health-associated commensal bacteria than those without Long COVID. Previous studies have also proved the association between the gut microbiota and insomnia, circadian disturbance and affective disorders. Thus, gut microbiota modulation could be a novel therapeutic strategy for these neuropsychiatric conditions.

Faecal microbiota transplantation (FMT), which is the infusion of faeces from healthy donors to the gut of affected subjects, has shown impressive therapeutic effects for various diseases. To date, no study has yet to assess the therapeutic effects of FMT in post-COVID-19 neuropsychiatric conditions. In this pilot open-label study, we aim to explore the efficacy of FMT in improving neuropsychiatric symptoms including but not limited to insomnia severity, sleep quality, anxiety and fatigue in recovered COVID-19 patients. FMT will be administrated via Oesophago-gastro-duodenoscopy (OGD) and Flexible Sigmoidoscopy (FS). Two arms will be recruited in a 1:1 ratio. The intervention group will receive FMT while the control group will not receive FMT. Both groups will have the same assessments. Subjects will receive FMT via OGD at week 0, week 2, week 4 and week 8, and via FS at week 0. Final follow-up will be scheduled at weeks 8 and 12 for clinical assessment. To assess the efficacy of FMT in improving neuropsychiatric symptoms, subjects will have to fill in study questionnaires at baseline, week 8 and week 12. Subjects will also be asked to fill in a sleep diary daily until week 12.

• Study Type: Interventional
• Enrollment (Estimated): 60
• Phase: Not Applicable

Contacts and Locations

Study Locations

• Hong Kong
  • Hong Kong, Hong Kong
    • Prince of Wales Hospital

Participation Criteria

Eligibility Criteria

• Ages Eligible for Study: 18 years and older (Adult, Older Adult)
• Accepts Healthy Volunteers: No

Description

Both the interventional group and control group will meet the criteria below and the control group will be age- and sex-matched subjects with the interventional group.

Inclusion Criteria:

• Individuals aged 18 and above
• Subjects who were recovered cases of COVID-19 confirmed by RT-PCR or rapid antigen test (RAT)
• Subjects who had insomnia symptoms of post-acute COVID-19 syndrome at screening visit

Exclusion Criteria:

• Confirmed current active malignancy
• Had abdominal surgery
• Known history of severe organ failure (including decompensated cirrhosis), renal failure on dialysis, suffering from human immunodeficiency virus infection;
• Known pregnancy
• Mental retardation or inability to provide informed consent
• Contraindications to upper GI endoscopy

Study Plan

How is the study designed?

Design Details

• Primary Purpose: Treatment
• Allocation: Non-Randomized
• Interventional Model: Parallel Assignment
• Masking: None (Open Label)

Number of Arms

2

Arms and Interventions

Participant Group / Arm	Intervention / Treatment
Experimental: Faecal Microbiota Transplantation; Subjects will receive Faecal Microbiota Transplantation	Procedure: Faecal Microbiota Transplantation; FMT at baseline, week 2, week 4, week 8
No Intervention: Control; The control subjects will not receive FMT

What is the study measuring?

Primary Outcome Measures

Outcome Measure	Measure Description	Time Frame
Change in insomnia severity	Severity of insomnia will be measured by a 7-item Insomnia Severity Index (ISI). ISI is a self-report questionnaire used to evaluate the nature, severity and impact of insomnia. Total score ranges from 0 to 28. Higher score indicates more severe insomnia.	12 weeks

Secondary Outcome Measures

Outcome Measure	Measure Description	Time Frame
Change in sleep quality	Quality of sleep will be measured by a 19-item Pittsburgh Sleep Quality Index (PSQI). PSQI is a self-report questionnaire used to evaluate sleep quality, sleep latency, sleep duration, habitual sleep efficiency, sleep disturbances, use of sleeping medication, and daytime dysfunction. Total score ranges from 0 to 21. Lower score indicates healthier sleep quality.	12 weeks
Change in anxiety symptoms	Anxiety symptoms will be assessed by a 7-item Generalised Anxiety Disorder-7 scale (GAD-7). GAD-7 is a widely used diagnostic self-report scale for the screening, diagnosis and severity assessment of anxiety disorder. Total score ranges from 0 to 21. Higher score indicates more severe anxiety.	12 weeks
Change in daytime sleepiness	Daytime sleepiness will be measured by a 8-item Epworth Sleepiness Scale (ESS). ESS is a widely used self-report questionnaire used to evaluate daytime sleepiness in the field of sleep medicine. Total score ranges from 0 to 24. Higher score indicates more daytime sleepiness.	12 weeks
Change in fatigue symptoms	Fatigue symptoms will be assessed by a 20-item Multidimensional Fatigue Inventory (MFI). MFI is a self-report questionnaire used to evaluate five dimensions of fatigue, including general fatigue, physical fatigue, mental fatigue, reduced motivation and reduced activity. Each dimension has four items. Total score of each dimension ranges from 4 to 20. Higher score indicates more severe fatigue for that dimension.	12 weeks
Change in sleep diary parameters	Consensus Sleep Diary (CSD) will be used to record sleep time, wake time and subjective sleeping quality daily. Parameters including sleep onset latency, time awake after sleep onset, total wake time, total sleep time and sleep efficiency will be calculated.	12 weeks
Change in gut microbiota composition	Relative abundance of gut bacteria at species level will be assessed by metagenomic analysis.	12 weeks
Change in gut microbiota diversity and richness	Species diversity (Shannon index) and richness (number of observed species) will be calculated based on the relative abundance of gut bacteria.	12 weeks
Similarity of gut microbiota composition to donor	Engraftment of donor species after intervention will be assessed by the similarity of gut microbiota composition to the donor.	12 weeks
Change in blood cytokine profile	Change in blood cytokine profile will be assessed, including levels of interferon gamma, interleukins, leptin, vascular endothelial growth factor, membrane-bound immunoglobulin, and tumour necrosis factor-α etc.	12 weeks
Change in blood cortisol	Change in blood cortisol will be assessed	12 weeks
Change in Melatonin level	Change in blood melatonin will be assessed	12 weeks

Collaborators and Investigators

• Sponsor: Chinese University of Hong Kong
• Investigators: Principal Investigator: Siew Chien Ng, PhD, FRCP, Chinese University of Hong Kong

Publications and helpful links

General Publications

• Sudre CH, Murray B, Varsavsky T, Graham MS, Penfold RS, Bowyer RC, Pujol JC, Klaser K, Antonelli M, Canas LS, Molteni E, Modat M, Jorge Cardoso M, May A, Ganesh S, Davies R, Nguyen LH, Drew DA, Astley CM, Joshi AD, Merino J, Tsereteli N, Fall T, Gomez MF, Duncan EL, Menni C, Williams FMK, Franks PW, Chan AT, Wolf J, Ourselin S, Spector T, Steves CJ. Attributes and predictors of long COVID. Nat Med. 2021 Apr;27(4):626-631. doi: 10.1038/s41591-021-01292-y. Epub 2021 Mar 10. Erratum In: Nat Med. 2021 Jun;27(6):1116.
• Whitaker M, Elliott J, Chadeau-Hyam M, Riley S, Darzi A, Cooke G, Ward H, Elliott P. Persistent COVID-19 symptoms in a community study of 606,434 people in England. Nat Commun. 2022 Apr 12;13(1):1957. doi: 10.1038/s41467-022-29521-z.
• Tran VT, Porcher R, Pane I, Ravaud P. Course of post COVID-19 disease symptoms over time in the ComPaRe long COVID prospective e-cohort. Nat Commun. 2022 Apr 5;13(1):1812. doi: 10.1038/s41467-022-29513-z.
• Liu Q, Mak JWY, Su Q, Yeoh YK, Lui GC, Ng SSS, Zhang F, Li AYL, Lu W, Hui DS, Chan PK, Chan FKL, Ng SC. Gut microbiota dynamics in a prospective cohort of patients with post-acute COVID-19 syndrome. Gut. 2022 Mar;71(3):544-552. doi: 10.1136/gutjnl-2021-325989. Epub 2022 Jan 26.
• Li Y, Hao Y, Fan F, Zhang B. The Role of Microbiome in Insomnia, Circadian Disturbance and Depression. Front Psychiatry. 2018 Dec 5;9:669. doi: 10.3389/fpsyt.2018.00669. eCollection 2018.
• Allegretti JR, Mullish BH, Kelly C, Fischer M. The evolution of the use of faecal microbiota transplantation and emerging therapeutic indications. Lancet. 2019 Aug 3;394(10196):420-431. doi: 10.1016/S0140-6736(19)31266-8.
• Khoruts A, Sadowsky MJ. Understanding the mechanisms of faecal microbiota transplantation. Nat Rev Gastroenterol Hepatol. 2016 Sep;13(9):508-16. doi: 10.1038/nrgastro.2016.98. Epub 2016 Jun 22.

Study record dates

Study Major Dates

• Study Start (Actual): September 28, 2022
• Primary Completion (Actual): September 13, 2023
• Study Completion (Estimated): June 30, 2024

Study Registration Dates

• First Submitted: August 18, 2022
• First Submitted That Met QC Criteria: September 24, 2022
• First Posted (Actual): September 27, 2022

Study Record Updates

• Last Update Posted (Actual): October 31, 2023
• Last Update Submitted That Met QC Criteria: October 29, 2023
• Last Verified: October 1, 2023

More Information

Terms related to this study

• Keywords: Faecal Microbiota Transplantation
• Additional Relevant MeSH Terms: Pathologic Processes; Coronavirus Infections; Coronaviridae Infections; Nidovirales Infections; RNA Virus Infections; Virus Diseases; Infections; Respiratory Tract Infections; Respiratory Tract Diseases; Pneumonia, Viral; Pneumonia; Lung Diseases; Disease Attributes; Disease; Chronic Disease; Post-Infectious Disorders; COVID-19; Syndrome; Post-Acute COVID-19 Syndrome
• Other Study ID Numbers: FMT-PACS

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