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Clinical Trial Details — Status: Active, not recruiting

Administrative data

NCT number NCT04950803
Other study ID # RECOVERY
Secondary ID
Status Active, not recruiting
Phase N/A
First received
Last updated
Start date June 25, 2021
Est. completion date December 31, 2025

Study information

Verified date July 2023
Source Chinese University of Hong Kong
Contact n/a
Is FDA regulated No
Health authority
Study type Interventional

Clinical Trial Summary

This study aims to evaluate the effectiveness of an oral microbiome immunity formula in modulating gut microbiota, enhancing immunity and reducing long-term complications and co-morbidities in patients who have recovered from COVID-19.


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formula (SIM01) achieved complete symptom resolution and developed neutralising antibody than those who did not (unpublished data).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.


Recruitment information / eligibility

Status Active, not recruiting
Enrollment 448
Est. completion date December 31, 2025
Est. primary completion date May 31, 2025
Accepts healthy volunteers No
Gender All
Age group 18 Years and older
Eligibility Inclusion Criteria: 1. Individuals aged 18 and above; 2. Subjects who are mentally capable to participate in the study and provide informed consent; 3. Subjects who can communicate in Chinese or English; 4. Subjects who are ambulatory and do not have difficulties travelling to the clinics for follow-up; 5. Subjects who do not have plans to leave Hong Kong in the subsequent two years after recruitment; and 6. Subjects who agree to give informed consent voluntarily. Exclusion Criteria: 1. Subjects who are unable to receive oral fluids; 2. Subjects who have received surgery involving the intestine within past 30 days; 3. Subjects who are pregnant or breastfeeding; and 4. Subjects who are immunocompromised, e.g. on cancer treatment, bone marrow/organ transplant, immune deficiency, poorly controlled HIV/AIDS.

Study Design


Related Conditions & MeSH terms


Intervention

Dietary Supplement:
Microbiome immunity formula
Microbiome immunity formula contains probiotics blend (3Bifidobacteria, 20 billion CFU daily)
Active placebo
Active placebo contains active vitamin

Locations

Country Name City State
Hong Kong Prince of Wales Hospital Hong Kong

Sponsors (1)

Lead Sponsor Collaborator
Chinese University of Hong Kong

Country where clinical trial is conducted

Hong Kong, 

References & Publications (12)

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. — View Citation

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. — View Citation

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. — View Citation

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. — View Citation

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 Jan 30;: — View Citation

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. — View Citation

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. — View Citation

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. — View Citation

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. — View Citation

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. — View Citation

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. — View Citation

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. — View Citation

* Note: There are 12 references in allClick here to view all references

Outcome

Type Measure Description Time frame Safety issue
Primary Alleviation of symptoms or complications Proportion of subjects with alleviation of symptoms or complication of post-COVID conditions within 6 months. 6 months
Secondary Any comorbidities 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
Secondary Increase in metabolic syndrome (MetS) score 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
Secondary Increase in other system-specific comorbidities Increase in other system-specific comorbidities involving cardiovascular, gastrointestinal, liver, renal, genitourinary, haematological, and neurological systems 24 months
Secondary Healthcare service utilization The frequency of healthcare service (including clinics and Accident and Emergency) that the subject has attended 24 months
Secondary Self-reported long-COVID-19 symptoms 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
Secondary Changes in Quality of life Changes in Quality of life using visual analogue scale, score ranging 0-100. The higher the score, the better the outcome. 48 months
Secondary Changes in faecal microbial and bacterial metabolites 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
Secondary Blood immunity profiles Inflammatory cytokines in plasma samples will be identified and quantified using human inflammation panel 1 (13-plex) of LEGENDplex 24 months
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