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CompletedNCT02692495Updated Feb 22, 2018Results posted

Evaluation of Potential Screening Tools for Metabolic Body Odor and Halitosis

An observational study in Nutritional and Metabolic Diseases, sponsored by Mebo Research, Inc.. Completed at 1 site in United Kingdom. Open to participants aged 20 Years and older. Per ClinicalTrials.gov, last updated 2018-02-22.

Sponsored by Mebo Research, Inc. · Observational

Study type
Observational
Model
Cohort
Time perspective
Retrospective
Enrollment
16
Ages
20 Years and older
Sex
All
01

Study summary

This study is designed as a retrospective cohort study to evaluate the potential of diagnostic procedures in defining populations of patients self-reporting unexpected and uncontrollable episodes of body odor and/or halitosis. The cohort - generally healthy individuals who had underwent multiple diagnostic tests recommended by their physicians and had not been diagnosed with any known medical condition - expressed their interest in trying gastrointestinal and nutritional diagnostic tests offered by Biolab Medical Unit. Our retrospective analysis will determine if these tests were useful as potential screening tools for metabolic body odor and halitosis.

Read the detailed description

Many yet uncharacterized medical conditions including inborn and acquired errors of metabolism or skewed microbiome could be responsible for unpredictable and uncontrollable episodes of body odor and halitosis. These conditions have dramatic impact on the quality of life and socioeconomic outcomes of sufferers. Yet clinics and specialized malodor centers do not provide tests for diagnosing malodor other than trimethylaminuria (TMAU). Self-reported odor problems are often dismissed if are not organoleptically evaluated by trained odor judges that are not readily available during malodor flare-ups.

The aim of this study is to analyze effectiveness of existing gastrointestinal and nutritional tests for the assessment and investigation of self-reported malodors.

Diagnostic tests included:

  • Gut Permeability Profile. PEG 400 is used as a probe and measured in urine passed for the following 6 hours at 11 different molecular weights to establish the quantity of each absorbed through the gut wall. Extraction and separation of PEG from urine is done by ion exchange chromatography and capillary GLC.
  • Gut Fermentation Profile. Blood alcohols - ethanol, methanol, butanol, propanol and short chain fatty acids - are measured by gas-liquid chromatography.
  • D-lactate test. D-lactate is measured by centrifugal analysis using the specific enzyme D-lactate dehydrogenase, which does not react with L-lactate
  • The urine indicans (Obermeyer) test. Detection of indican in the urine depends upon its decomposition and subsequent oxidation of indoxyl to indigo blue and its absorption into a chloroform layer
  • Breath test for small intestinal dysbiosis. Breath hydrogen and methane are measured by gas-liquid chromatography. The patient is given 10 gm of lactulose in 200 ml of water and alveolar air samples are collected every 20 minutes for 3 hours
  • Functional B vitamins profile, by measuring the activation of a red cell enzyme that is dependent upon an adequate concentration of a particular vitamin for full activity. The assay relies on normal metabolism of the vitamin to its native form and the presence of other non-vitamin cofactors.
02

Conditions studied

  • Nutritional and Metabolic Diseases

Keywords

  • body odor
  • halitosis
  • dysbiosis
  • leaky gut
  • microbiome
  • PATM
  • breath odor
03

In context

Nutritional and Metabolic Diseases

71 studies on the registry are indexed under Nutritional and Metabolic Diseases; 19 are open to participants now.

This study's enrollment of 16 is below the median of 300 across 17 observational studies indexed under Nutritional and Metabolic Diseases.

Browse Nutritional and Metabolic Diseases studies →

Lead sponsor

Mebo Research, Inc. is the lead sponsor of 5 studies on the registry; none are open to participants now.

Counted across the registry records on this site, refreshed daily.

04

Who can participate

Ages eligible
20 Years and older
Sexes eligible
All
Accepts healthy volunteers
No
Sampling method
Probability sample

Study population

Individuals reporting idiopathic malodor production

Go through the criteria one by one — yes, no or not sure — and take the list to your doctor or the study team. Kept in this browser only.

Inclusion criteria

  • idiopathic malodor experienced over a period of several months or years
  • willing and able to complete the study
  • good general health

Exclusion criteria

Exclusion Criteria:

  • elect not to participate in the study
05

Study design

Observational model
Cohort
Time perspective
Retrospective
Enrollment
16 participants (actual)
Patient registry
No

Groups and cohorts

  • Body odor

    individuals self-reporting recurrent episodes of uncontrollable body odor with or without halitosis

  • Halitosis

    individuals with extra-oral halitosis, not complaining of body odors

06

What researchers measure

Primary outcomes

  1. Number of Test Results Outside the Normal Range

    The investigators would like to evaluate the strength of evidence in diagnostic accuracy of laboratory tests taken by participants (listed in the detailed description of the study), for diagnosing malodor syndromes. Values measured by the laboratory (Biolab Medical Unit) will be compared against the reference range specific to that laboratory.

    Time frame: four years

Secondary outcomes

  1. Discriminative Biomarkers in the Subgroups of Malodor

    The investigators have comprehensively analyzed diagnostic ability of tests taken by participants to correlate with their symptoms using several statistical techniques known to bring out strong patterns in a dataset. Principal component analysis (PCA) allowed to clearly separate data into two clusters ("Sour" and "Sweet") shown below along with the "Lactic" subgroup from the "Sour" group.

    Time frame: three years

  2. Number of Test Results Outside the Normal Range in Different Subgroups of Malodor

    Disciminative biomarkers for groups of malodor discovered using PCA, compared to control group

    Time frame: Three years

  3. Average Daily Added Sugar Intake Inferred From Self-reported Dietary Data in the Subgroups of Malodor

    The measurement of dietary intake of selected nutrients from self-reported food intakes and diet history questionnaires. Correlation of symptoms with added sugar in the diet were noted independently on the source of malodor.

    Time frame: Three years

07

Results

Posted Jan 24, 2018

Participant flow

Participant flow — Overall Study
MilestoneBody OdorHalitosis
Started124
Completed124
Not completed00

Outcome measures

PrimaryNumber of Test Results Outside the Normal Range

The investigators would like to evaluate the strength of evidence in diagnostic accuracy of laboratory tests taken by participants (listed in the detailed description of the study), for diagnosing malodor syndromes. Values measured by the laboratory (Biolab Medical Unit) will be compared against the reference range specific to that laboratory.

Time frame:
four years
Reported as:
Number · participants
Number of Test Results Outside the Normal Range
participantsBody OdorHalitosis
Elevated blood ethanol63
Elevated blood methanol00
Elevated 1-propanol83
Elevated 2-propanol33
Elevated 2-methyl-1-propanol62
Elevated 2-methyl-2-propanol01
Elevated 1-butanol10
Elevated 2-butanol20
Elevated 2-methyl-1-butanol61
Elevated 2-methyl-2-butanol00
Elevated 2-ethyl-1-butanol01
Elevated 2,3-butylene glycol40
Increased blood acetate01
Decreased blood acetate40
Decreased blood propionate40
Decreased blood butyrate50
Blood Succinate out of range00
Blood Valerate out of range00
Increased gut permeability90
Decreased gut permeability02
increased blood D-lactate30
increased urine Indicans51
SecondaryDiscriminative Biomarkers in the Subgroups of Malodor

The investigators have comprehensively analyzed diagnostic ability of tests taken by participants to correlate with their symptoms using several statistical techniques known to bring out strong patterns in a dataset. Principal component analysis (PCA) allowed to clearly separate data into two clusters ("Sour" and "Sweet") shown below along with the "Lactic" subgroup from the "Sour" group.

Time frame:
three years
Reported as:
Mean · umol/L
Discriminative Biomarkers in the Subgroups of Malodor
umol/L"Sour" Group"Sweet" Group"Lactic" Subgroup
D-lactate7 ± 529 ± 39330 ± 245
2- butanol1.3 ± 0.80.9 ± 0.73.2 ± 1.2
Butyrate5 ± 611 ± 36 ± 6
2,3-butylene glycol2.6 ± 1.41.6 ± 1.56.0 ± 0.0
Acetate60.6 ± 16.968.7 ± 22.555.5 ± 37.5
Statistical analysis
  • "Sour" Group vs "Sweet" Group vs "Lactic" Subgroup · t-test, 2 sided · p = <0.01
SecondaryNumber of Test Results Outside the Normal Range in Different Subgroups of Malodor

Disciminative biomarkers for groups of malodor discovered using PCA, compared to control group

Time frame:
Three years
Reported as:
Count of participants · Participants
Number of Test Results Outside the Normal Range in Different Subgroups of Malodor
Participants"Sour" Group"Sweet" Group"Lactic" Subgroup
Ethanol, blood071
Indicans, urine141
B2 vitamin, blood (EGFR activation)150
D lactate, plasma002
SecondaryAverage Daily Added Sugar Intake Inferred From Self-reported Dietary Data in the Subgroups of Malodor

The measurement of dietary intake of selected nutrients from self-reported food intakes and diet history questionnaires. Correlation of symptoms with added sugar in the diet were noted independently on the source of malodor.

Time frame:
Three years
Reported as:
Mean · grams per day
Average Daily Added Sugar Intake Inferred From Self-reported Dietary Data in the Subgroups of Malodor
grams per day"Sour" Group"Sweet" Group"Lactic" Subgroup
Average Daily Added Sugar Intake Inferred From Self-reported Dietary Data in the Subgroups of Malodor5 ± 525 ± 1020 ± 10

Adverse events

Collected over All participants were followed up by email for at least one week after discussing their test results.. Non-serious events are listed at a 0% frequency threshold.

Adverse event summary by group
GroupDeathsSeriousOther
Body Odor0/12 (0%)0/12 (0%)0/12 (0%)
Halitosis0/4 (0%)0/4 (0%)0/4 (0%)

Baseline characteristics

Age, Continuous
Age, Continuous(years)Body OdorHalitosisTotal
Mean30.9 ± 8.537.5 ± 5.932.6 ± 8.3
Sex: Female, Male
Sex: Female, Male(Participants)Body OdorHalitosisTotal
Female325
Male9211
Region of Enrollment
Region of Enrollment(participants)Body OdorHalitosisTotal
United Kingdom12416
Duration of condition
Duration of condition(years)Body OdorHalitosisTotal
Age at onset of symptoms21 ± 929 ± 923 ± 9
Duration of symptoms9 ± 69 ± 59 ± 6
08

Study locations

1 site
  • MeBO Research LTD
    London, England W10 5LE, United Kingdom
09

References and documents

Publications

  • Chadwick VS, Phillips SF, Hofmann AF. Measurements of intestinal permeability using low molecular weight polyethylene glycols (PEG 400). I. Chemical analysis and biological properties of PEG 400. Gastroenterology. 1977 Aug;73(2):241-6. PubMed 873124 ↗
  • Sivakumaran T, Jenkins RT, Walker WH, Goodacre RL. Simplified measurement of polyethylene glycol 400 in urine. Clin Chem. 1982 Dec;28(12):2452-3. No abstract available. PubMed 7139937 ↗
  • Hunnisett A., Howard J., Davies S. Gut fermentation (or the 'Auto-brewery') Syndrome: A new clinical test with initial observations and discussion of clinical and biochemical implications J.Nutr.Med.1:33-8, 1990
  • Sheedy JR, Wettenhall RE, Scanlon D, Gooley PR, Lewis DP, McGregor N, Stapleton DI, Butt HL, DE Meirleir KL. Increased d-lactic Acid intestinal bacteria in patients with chronic fatigue syndrome. In Vivo. 2009 Jul-Aug;23(4):621-8. PubMed 19567398 ↗
  • Ludvigsen CW, Thurn JR, Pierpont GL, Eckfeldt JH. Kinetic enzymic assay for D(-)-lactate, with use of a centrifugal analyzer. Clin Chem. 1983 Oct;29(10):1823-5. PubMed 6616831 ↗
  • Jenq RR. How's your microbiota? Let's check your urine. Blood. 2015 Oct 1;126(14):1641-2. doi: 10.1182/blood-2015-08-661504. PubMed 26429966 ↗
  • Khoshini R, Dai SC, Lezcano S, Pimentel M. A systematic review of diagnostic tests for small intestinal bacterial overgrowth. Dig Dis Sci. 2008 Jun;53(6):1443-54. doi: 10.1007/s10620-007-0065-1. PubMed 17990113 ↗
  • Drossman DA. The functional gastrointestinal disorders and the Rome III process. Gastroenterology. 2006 Apr;130(5):1377-90. doi: 10.1053/j.gastro.2006.03.008. No abstract available. PubMed 16678553 ↗
  • Mount JN, Heduan E, Herd C, Jupp R, Kearney E, Marsh A. Adaptation of coenzyme stimulation assays for the nutritional assessment of vitamins B1, B2 and B6 using the Cobas Bio centrifugal analyser. Ann Clin Biochem. 1987 Jan;24 ( Pt 1):41-6. doi: 10.1177/000456328702400106. PubMed 3827183 ↗

Individual participant data

Plan to share: Yes — de-identified individual participant data will be made partially available

10

Updates

Tracking since Sep 25, 2026
No changes since tracking began. The registry record was last updated on Feb 22, 2018, before this site started recording changes on Sep 25, 2026. Its history is on ClinicalTrials.gov ↗
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Registry details

Key details

Study ID
NCT02692495
Lead sponsor
Mebo Research, Inc.
Responsible party
Sponsor
First posted
Feb 26, 2016
Start date
Apr 2009
Primary completion
Dec 2013
Completion
Feb 2016
Results posted
Jan 24, 2018
Last update
Feb 22, 2018

Study contacts

Irene Gabashvili, PhD
principal investigator · MeBO Research

Oversight

Data monitoring committee
No
View the source record on ClinicalTrials.gov ↗

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This study is completed, as verified in Jan 2018. You cannot join it, but the record below documents what was studied.

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