Microbial Colonization Clinical Trial
Official title:
Assessment of Colonisation of Probiotic Bacterium Streptococcus Salivarius From a Fast Melt Powder Format to the Oral Cavity
NCT number | NCT05367518 |
Other study ID # | BLTCT2022/1 |
Secondary ID | |
Status | Recruiting |
Phase | N/A |
First received | |
Last updated | |
Start date | May 15, 2022 |
Est. completion date | June 30, 2022 |
To evaluate the colonisation efficacy (i.e. ability of the probiotic bacteria to remain in your mouth) of a fast melt powder that quickly dissolves in the mouth. The fast melt powder will contain a Streptococcus salivarius probiotic and the study is to be done in healthy adults.
Status | Recruiting |
Enrollment | 20 |
Est. completion date | June 30, 2022 |
Est. primary completion date | May 25, 2022 |
Accepts healthy volunteers | Accepts Healthy Volunteers |
Gender | All |
Age group | 18 Years to 80 Years |
Eligibility | Inclusion Criteria: 1. In general good health 18 - 80 years of age. 2. Practice good oral hygiene. Exclusion Criteria: 1. Have a history of autoimmune disease or are immunocompromised. 2. Are on concurrent antibiotic therapy or regular antibiotic use within last 1 week 3. History of allergy (e.g. dairy). |
Country | Name | City | State |
---|---|---|---|
New Zealand | Blis Technologies Ltd | Dunedin | Otago |
Lead Sponsor | Collaborator |
---|---|
BLIS Technologies Limited |
New Zealand,
Burton JP, Chilcott CN, Wescombe PA, Tagg JR. Extended Safety Data for the Oral Cavity Probiotic Streptococcus salivarius K12. Probiotics Antimicrob Proteins. 2010 Oct;2(3):135-44. doi: 10.1007/s12602-010-9045-4. — View Citation
Di Pierro F, Adami T, Rapacioli G, Giardini N, Streitberger C. Clinical evaluation of the oral probiotic Streptococcus salivarius K12 in the prevention of recurrent pharyngitis and/or tonsillitis caused by Streptococcus pyogenes in adults. Expert Opin Biol Ther. 2013 Mar;13(3):339-43. doi: 10.1517/14712598.2013.758711. Epub 2013 Jan 4. — View Citation
Di Pierro F, Colombo M, Giuliani MG, Danza ML, Basile I, Bollani T, Conti AM, Zanvit A, Rottoli AS. Effect of administration of Streptococcus salivarius K12 on the occurrence of streptococcal pharyngo-tonsillitis, scarlet fever and acute otitis media in 3 years old children. Eur Rev Med Pharmacol Sci. 2016 Nov;20(21):4601-4606. — View Citation
Di Pierro F, Colombo M, Zanvit A, Rottoli AS. Positive clinical outcomes derived from using Streptococcus salivarius K12 to prevent streptococcal pharyngotonsillitis in children: a pilot investigation. Drug Healthc Patient Saf. 2016 Nov 21;8:77-81. eCollection 2016. — View Citation
Gregori G, Righi O, Risso P, Boiardi G, Demuru G, Ferzetti A, Galli A, Ghisoni M, Lenzini S, Marenghi C, Mura C, Sacchetti R, Suzzani L. Reduction of group A beta-hemolytic streptococcus pharyngo-tonsillar infections associated with use of the oral probiotic Streptococcus salivarius K12: a retrospective observational study. Ther Clin Risk Manag. 2016 Jan 19;12:87-92. doi: 10.2147/TCRM.S96134. eCollection 2016. — View Citation
Hyink O, Wescombe PA, Upton M, Ragland N, Burton JP, Tagg JR. Salivaricin A2 and the novel lantibiotic salivaricin B are encoded at adjacent loci on a 190-kilobase transmissible megaplasmid in the oral probiotic strain Streptococcus salivarius K12. Appl Environ Microbiol. 2007 Feb;73(4):1107-13. Epub 2006 Dec 28. — View Citation
Type | Measure | Description | Time frame | Safety issue |
---|---|---|---|---|
Primary | Change in microbial colonization from baseline (Day 0) to 1 hour | Study will determine the change in microbial colonization efficacy of two different doses of Streptococcus salivarius K12 in a fast melt powder format. The saliva Statistical analysis (e.g. Students t-test) will be carried out to compare the participants data from baseline to one hour after later across two different formulations with the level of significance of p=0.05.Overall colonization based on percentage of population colonized for different interventions will also be analyzed average and standard deviation functions using appropriate statistical analysis software (e.g. Microsoft Excel). | 1 hours post intervention | |
Primary | Change in microbial colonization from baseline (Day 0) to 8 hours | Study will determine the change in microbial colonization efficacy of two different doses of Streptococcus salivarius K12 in a fast melt powder format. The saliva Statistical analysis (e.g. Students t-test) will be carried out to compare the participants data from baseline to 8 hours after later across two different formulations with the level of significance of p=0.05.Overall colonization based on percentage of population colonized for different interventions will also be analyzed average and standard deviation functions using appropriate statistical analysis software (e.g. Microsoft Excel). | 8 hours post intervention | |
Primary | Change in microbial colonization from baseline (Day 0) to 24 hours | Study will determine the change in microbial colonization efficacy of two different doses of Streptococcus salivarius K12 in a fast melt powder format. The saliva Statistical analysis (e.g. Students t-test) will be carried out to compare the participants data from baseline to 24 hours after later across two different formulations with the level of significance of p=0.05.Overall colonization based on percentage of population colonized for different interventions will also be analyzed average and standard deviation functions using appropriate statistical analysis software (e.g. Microsoft Excel). | 24 hours post intervention | |
Primary | Change in microbial colonization from baseline (Day 0) to 48 hours post last dose | Study will determine the change in microbial colonization efficacy of two different doses of Streptococcus salivarius K12 in a fast melt powder format. The saliva Statistical analysis (e.g. Students t-test) will be carried out to compare the participants data from baseline to 48 hours after last dosing across two different formulations over 7 days, with the level of significance of p=0.05.Overall colonization based on percentage of population colonized for different interventions will also be analyzed average and standard deviation functions using appropriate statistical analysis software (e.g. Microsoft Excel). | 48 hours after last dosing following 7 days of daily administration of probiotic |
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