- ICH GCP
- US Clinical Trials Registry
- Clinical Trial NCT04950803
A Randomised-controlled Trial of an Oral Microbiome Immunity Formula in Recovered COVID-19 Patients
A Randomised-controlled Trial of an Oral Microbiome Immunity Formula in Reducing Development of Long-term Co-morbidities in Recovered COVID-19 Patients
Study Overview
Status
Intervention / Treatment
Detailed Description
SARS-CoV-2, the cause of COVID-19, emerged as a new zoonotic pathogen of humans at the end of 2019 and rapidly developed into a global pandemic. It may develop severe or critical disease with respiratory failure requiring oxygen support and intensive care.
Natural infection by virus triggers an effective system immunity so that the host can resist or highly reduce the chance of re-infection.
In many cases, this protection can maintain a long period of time. However, the long-term immunities (over a year) and complications from the patients are not yet very clear. We found that COVID-19 survivors who have cleared the virus continued to have persistent altered gut microbiota and up to 80 percent had residue COVID-19 related symptoms including fatigue, difficulty in breathing, impaired memory and hair loss up to 6 months after discharge (LONG COVID-19).
Earlier studies from our CU Medicine have shown a link between altered gut microbiome and COVID-19 severity, and more patients who received a novel microbiome immunity formula (SIM01) achieved complete symptom resolution and developed neutralising antibody than those who did not (unpublished data). Research from the Faculty also reported that almost 40% of people in Hong Kong had significant gut dysbiosis especially in elderly and patients with diabetes, obesity or chronic diseases.
This study is a single-centre, triple-blind, randomized, placebo-controlled clinical trial that aims to evaluate the effectiveness of an oral microbiome immunity formula (SIM01) invented by the Chinese University of Hong Kong (CUHK) in modulating gut microbiota, enhancing immunity and reducing long-term complications and co-morbidities (e.g. sepsis, cardiopulmonary complications, metabolic syndrome, neuropsychiatric disorders) in patients who have recovered from COVID-19.
Study Type
Enrollment (Estimated)
Phase
- Not Applicable
Contacts and Locations
Study Locations
-
-
-
Hong Kong, Hong Kong
- Prince of Wales Hospital
-
-
Participation Criteria
Eligibility Criteria
Ages Eligible for Study
Accepts Healthy Volunteers
Description
Inclusion Criteria:
- Individuals aged 18 and above;
- Subjects who are mentally capable to participate in the study and provide informed consent;
- Subjects who can communicate in Chinese or English;
- Subjects who are ambulatory and do not have difficulties travelling to the clinics for follow-up;
- Subjects who do not have plans to leave Hong Kong in the subsequent two years after recruitment; and
- Subjects who agree to give informed consent voluntarily.
Exclusion Criteria:
- Subjects who are unable to receive oral fluids;
- Subjects who have received surgery involving the intestine within past 30 days;
- Subjects who are pregnant or breastfeeding; and
- Subjects who are immunocompromised, e.g. on cancer treatment, bone marrow/organ transplant, immune deficiency, poorly controlled HIV/AIDS.
Study Plan
How is the study designed?
Design Details
- Primary Purpose: Prevention
- Allocation: Randomized
- Interventional Model: Parallel Assignment
- Masking: Triple
Arms and Interventions
Participant Group / Arm |
Intervention / Treatment |
|---|---|
|
Active Comparator: Active arm
Subjects will take microbiome immunity formula (SIM01) daily for 6 months
|
Microbiome immunity formula contains probiotics blend (3Bifidobacteria, 20 billion CFU daily)
|
|
Placebo Comparator: Placebo arm
Subjects will take active vitamin daily for 6 months
|
Active placebo contains active vitamin
|
What is the study measuring?
Primary Outcome Measures
Outcome Measure |
Measure Description |
Time Frame |
|---|---|---|
|
Alleviation of symptoms or complications
Time Frame: 6 months
|
Proportion of subjects with alleviation of symptoms or complication of post-COVID conditions within 6 months.
|
6 months
|
Secondary Outcome Measures
Outcome Measure |
Measure Description |
Time Frame |
|---|---|---|
|
Any comorbidities
Time Frame: 24 months
|
A composite outcome of any comorbidities, including clinical manifestations of long-COVID, hospitalizations due to sepsis, cardiopulmonary complications, metabolic syndrome and neuropsychiatric disorders
|
24 months
|
|
Increase in metabolic syndrome (MetS) score
Time Frame: 24 months
|
a validated index computed from an analysis based on waist circumference, fasting triglycerides, fasting glucose, and systolic blood pressure, calculated in score (1-5), higher levels indicated higher probability of presence of metabolic syndrome
|
24 months
|
|
Increase in other system-specific comorbidities
Time Frame: 24 months
|
Increase in other system-specific comorbidities involving cardiovascular, gastrointestinal, liver, renal, genitourinary, haematological, and neurological systems
|
24 months
|
|
Healthcare service utilization
Time Frame: 24 months
|
The frequency of healthcare service (including clinics and Accident and Emergency) that the subject has attended
|
24 months
|
|
Self-reported long-COVID-19 symptoms
Time Frame: 24 months
|
Subjects will fill in a survey whether they have long-COVID-19 symptoms (e.g.
cough, fatigue, etc) and grade the symptoms.
The higher the score, the worse the outcome.
|
24 months
|
|
Changes in Quality of life
Time Frame: 48 months
|
Changes in Quality of life using visual analogue scale, score ranging 0-100.
The higher the score, the better the outcome.
|
48 months
|
|
Changes in faecal microbial and bacterial metabolites
Time Frame: 48 months
|
Shotgun metagenomics and metabolomics sequencing of faecal samples at baseline and each visit will be used to generate serial gut microbial taxonomic and bacterial functional profiles.
|
48 months
|
|
Blood immunity profiles
Time Frame: 24 months
|
Inflammatory cytokines in plasma samples will be identified and quantified using human inflammation panel 1 (13-plex) of LEGENDplex
|
24 months
|
Collaborators and Investigators
Sponsor
Investigators
- Principal Investigator: Siew Ng, CUHK-M&T
Publications and helpful links
General Publications
- Guan WJ, Ni ZY, Hu Y, Liang WH, Ou CQ, He JX, Liu L, Shan H, Lei CL, Hui DSC, Du B, Li LJ, Zeng G, Yuen KY, Chen RC, Tang CL, Wang T, Chen PY, Xiang J, Li SY, Wang JL, Liang ZJ, Peng YX, Wei L, Liu Y, Hu YH, Peng P, Wang JM, Liu JY, Chen Z, Li G, Zheng ZJ, Qiu SQ, Luo J, Ye CJ, Zhu SY, Zhong NS; China Medical Treatment Expert Group for Covid-19. Clinical Characteristics of Coronavirus Disease 2019 in China. N Engl J Med. 2020 Apr 30;382(18):1708-1720. doi: 10.1056/NEJMoa2002032. Epub 2020 Feb 28.
- DeMets DL, Lan KK. Interim analysis: the alpha spending function approach. Stat Med. 1994 Jul 15-30;13(13-14):1341-52; discussion 1353-6. doi: 10.1002/sim.4780131308.
- Ngai JC, Ko FW, Ng SS, To KW, Tong M, Hui DS. The long-term impact of severe acute respiratory syndrome on pulmonary function, exercise capacity and health status. Respirology. 2010 Apr;15(3):543-50. doi: 10.1111/j.1440-1843.2010.01720.x. Epub 2010 Mar 19.
- Li TS, Gomersall CD, Joynt GM, Chan DP, Leung P, Hui DS. Long-term outcome of acute respiratory distress syndrome caused by severe acute respiratory syndrome (SARS): an observational study. Crit Care Resusc. 2006 Dec;8(4):302-8.
- Martin JE, Louder MK, Holman LA, Gordon IJ, Enama ME, Larkin BD, Andrews CA, Vogel L, Koup RA, Roederer M, Bailer RT, Gomez PL, Nason M, Mascola JR, Nabel GJ, Graham BS; VRC 301 Study Team. A SARS DNA vaccine induces neutralizing antibody and cellular immune responses in healthy adults in a Phase I clinical trial. Vaccine. 2008 Nov 25;26(50):6338-43. doi: 10.1016/j.vaccine.2008.09.026. Epub 2008 Sep 26.
- Modjarrad K, Roberts CC, Mills KT, Castellano AR, Paolino K, Muthumani K, Reuschel EL, Robb ML, Racine T, Oh MD, Lamarre C, Zaidi FI, Boyer J, Kudchodkar SB, Jeong M, Darden JM, Park YK, Scott PT, Remigio C, Parikh AP, Wise MC, Patel A, Duperret EK, Kim KY, Choi H, White S, Bagarazzi M, May JM, Kane D, Lee H, Kobinger G, Michael NL, Weiner DB, Thomas SJ, Maslow JN. Safety and immunogenicity of an anti-Middle East respiratory syndrome coronavirus DNA vaccine: a phase 1, open-label, single-arm, dose-escalation trial. Lancet Infect Dis. 2019 Sep;19(9):1013-1022. doi: 10.1016/S1473-3099(19)30266-X. Epub 2019 Jul 24.
- Perera RA, Mok CK, Tsang OT, Lv H, Ko RL, Wu NC, Yuan M, Leung WS, Chan JM, Chik TS, Choi CY, Leung K, Chan KH, Chan KC, Li KC, Wu JT, Wilson IA, Monto AS, Poon LL, Peiris M. Serological assays for severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2), March 2020. Euro Surveill. 2020 Apr;25(16):2000421. doi: 10.2807/1560-7917.ES.2020.25.16.2000421.
- Bonifacius A, Tischer-Zimmermann S, Dragon AC, Gussarow D, Vogel A, Krettek U, Godecke N, Yilmaz M, Kraft ARM, Hoeper MM, Pink I, Schmidt JJ, Li Y, Welte T, Maecker-Kolhoff B, Martens J, Berger MM, Lobenwein C, Stankov MV, Cornberg M, David S, Behrens GMN, Witzke O, Blasczyk R, Eiz-Vesper B. COVID-19 immune signatures reveal stable antiviral T cell function despite declining humoral responses. Immunity. 2021 Feb 9;54(2):340-354.e6. doi: 10.1016/j.immuni.2021.01.008.
- Rupp J, Dreo B, Gutl K, Fessler J, Moser A, Haditsch B, Schilcher G, Matzkies LM, Steinmetz I, Greinix H, Stradner MH. T Cell Phenotyping in Individuals Hospitalized with COVID-19. J Immunol. 2021 Apr 1;206(7):1478-1482. doi: 10.4049/jimmunol.2001034. Epub 2021 Feb 8.
- Legros V, Denolly S, Vogrig M, Boson B, Siret E, Rigaill J, Pillet S, Grattard F, Gonzalo S, Verhoeven P, Allatif O, Berthelot P, Pelissier C, Thiery G, Botelho-Nevers E, Millet G, Morel J, Paul S, Walzer T, Cosset FL, Bourlet T, Pozzetto B. A longitudinal study of SARS-CoV-2-infected patients reveals a high correlation between neutralizing antibodies and COVID-19 severity. Cell Mol Immunol. 2021 Feb;18(2):318-327. doi: 10.1038/s41423-020-00588-2. Epub 2021 Jan 6.
- Hillier TA, Rousseau A, Lange C, Lepinay P, Cailleau M, Novak M, Calliez E, Ducimetiere P, Balkau B; D.E.S.I.R. Cohort. Practical way to assess metabolic syndrome using a continuous score obtained from principal components analysis. Diabetologia. 2006 Jul;49(7):1528-35. doi: 10.1007/s00125-006-0266-8. Epub 2006 May 16.
- Huang C, Wang Y, Li X, Ren L, Zhao J, Hu Y, Zhang L, Fan G, Xu J, Gu X, Cheng Z, Yu T, Xia J, Wei Y, Wu W, Xie X, Yin W, Li H, Liu M, Xiao Y, Gao H, Guo L, Xie J, Wang G, Jiang R, Gao Z, Jin Q, Wang J, Cao B. Clinical features of patients infected with 2019 novel coronavirus in Wuhan, China. Lancet. 2020 Feb 15;395(10223):497-506. doi: 10.1016/S0140-6736(20)30183-5. Epub 2020 Jan 24. Erratum In: Lancet. 2020 Feb 15;395(10223):496. doi: 10.1016/S0140-6736(20)30252-X.
Study record dates
Study Major Dates
Study Start (Actual)
Primary Completion (Estimated)
Study Completion (Estimated)
Study Registration Dates
First Submitted
First Submitted That Met QC Criteria
First Posted (Actual)
Study Record Updates
Last Update Posted (Actual)
Last Update Submitted That Met QC Criteria
Last Verified
More Information
Terms related to this study
Additional Relevant MeSH Terms
Other Study ID Numbers
- RECOVERY
Drug and device information, study documents
Studies a U.S. FDA-regulated drug product
Studies a U.S. FDA-regulated device product
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