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Trial registered on ANZCTR
Registration number
ACTRN12618000432213
Ethics application status
Approved
Date submitted
26/02/2018
Date registered
26/03/2018
Date last updated
26/03/2018
Type of registration
Retrospectively registered
Titles & IDs
Public title
The gut microbiome: a new pathway to obesity prevention and metabolic health
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Scientific title
The gut microbiome: a new pathway to obesity prevention and metabolic health
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Secondary ID [1]
289405
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None
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Universal Trial Number (UTN)
U1111-1184-0829
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Trial acronym
PROMIsE (PRedictors linking Obesity and the MIcrobiomE) Study
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Linked study record
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Health condition
Health condition(s) or problem(s) studied:
Obesity
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Metabolic Health
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Condition category
Condition code
Diet and Nutrition
299108
299108
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0
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Obesity
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Metabolic and Endocrine
306223
306223
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0
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Normal metabolism and endocrine development and function
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Intervention/exposure
Study type
Observational
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Patient registry
False
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Target follow-up duration
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Target follow-up type
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Description of intervention(s) / exposure
We will conduct a cross sectional study in 136 Pacific women (known high risk of obesity, 68% obesity) and 136 NZ European women (known moderate risk of obesity, 28% obesity). Women will be selected such that half in each group will have a normal body fat profile (BMI=18.5 -24.9kg/m2) and half an obese body fat profile (BMI>=30 kg/m2). We will characterise the gut microbiome in all groups and test whether taste perception, diet, sleep and physical activity are key pathways that modify the gut microbiome and its impact on obesity.
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Intervention code [1]
294991
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Not applicable
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Comparator / control treatment
Not applicable
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Control group
Uncontrolled
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Outcomes
Primary outcome [1]
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Dietary intake and eating behaviour as assessed by 5-day estimated food record, Food Frequency Questionnaire (FFQ), Dietary Diversity Questionnaire (DDQ), Three-Factor Eating Questionnaire (TFEQ) and Eating Attitudes Test (EAT-26).
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Assessment method [1]
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0
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Timepoint [1]
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Cross-sectional study - one-time measures
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Primary outcome [2]
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Body composition and body fat profile as assessed by International Society for the Advancement of Kinanthropometry (ISAK) protocol, Bioelectrical Impedance Analysis (BIA), Dual-energy X-ray Absorptiometry (DXA) and Sagittal Abdominal Diameter (SAD).
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Assessment method [2]
304980
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Timepoint [2]
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Cross-sectional study - one-time measures
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Primary outcome [3]
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Gut microbiome complexity and functionality as assessed by shotgun-sequencing.
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Assessment method [3]
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Timepoint [3]
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Cross-sectional study - one-time measures
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Secondary outcome [1]
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Intensity and hedonic liking of taste perception (sweet, bitter, fat) as measured by general labelled magnitude scales (gLMS).
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Assessment method [1]
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Timepoint [1]
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Cross-sectional study - one-time measures
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Secondary outcome [2]
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Sleep as assessed by wrist worn AW2 actiwatch actigraph, 7-day sleep diary, Pittsburgh Sleep Quality Index (PSQI), Munich ChronoType Questionnaire (MCTQ) and Berlin Questionnaire.
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Assessment method [2]
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Timepoint [2]
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Cross-sectional study - one-time measures
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Secondary outcome [3]
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Physical activity as assessed by w-GT3X triaxial accelerometer, 7-day physical activity diary and Recent Physical Activity Questionnaire (RPAQ).
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Assessment method [3]
343959
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Timepoint [3]
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Cross-sectional study - one time measures
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Secondary outcome [4]
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Blood metabolic biomarkers (plasma glucose, insulin, HbA1c, lipids), inflammation markers (hs-CRP, IL-6, TNFa) and endocrine regulators (GLP-1, ghrelin, leptin) as assessed by Roche/Hitachi Cobas auto-analyser and multiplex assays.
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Assessment method [4]
343961
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Timepoint [4]
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Cross-sectional study - one time measures
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Eligibility
Key inclusion criteria
1. Provision of written informed consent
2. Willingness to comply with study requirements
3. Female 18-45 years of age, of NZ European or Pacific ethnicity with BMI between 18.5 and 24.9kg/m2 or of BMI greater than or equal to 30kg/m2
4. Generally healthy, no chronic health conditions
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Minimum age
18
Years
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Maximum age
45
Years
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Sex
Females
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Can healthy volunteers participate?
Yes
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Key exclusion criteria
1. Had bariatric surgery
2 Taking medications affecting the immune system or for any chronic disease
3. Pregnant or breastfeeding an infant less than 6 months of age
4. Chronic illnesses (eg. Diabetes Mellitus, CVD, etc)
5. Allergic to milk
6 Severe dietary restrictions or avoidances
7 Unable to comply with study protocol requirements
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Study design
Purpose
Natural history
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Duration
Cross-sectional
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Selection
Defined population
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Timing
Both
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Statistical methods / analysis
We have based our sample size calculations on metagenome-based measures of gene richness (gene counts) of faecal microbial communities which categorise individuals into clusters of high or low gene count. Individuals in the low gene count cluster may be at increased risk of progressing to obesity-associated co-morbidities. All power calculations are based on analyses for each ethnic group separately, as differences in associations between ethnic groups may exist.
Descriptive statistical methods will be used to summarise gut microbiome complexity and functionality, dietary intake and behaviour, sweet and fat taste perception, sleep, physical activity and blood biomarkers. We will first analyse the differential gut microbiome complexity and gene richness between obese body fat profile women and normal body fat profile women stratified by ethnicity using linear regression analyses. We will also assess associations between gut microbiome complexity and functionality and biological and behavioural factors described above. In addition to analysing the gut microbiome complexity and gene richness as a continuous variable, we will also stratify participants into groups with reduced versus high gut microbiome complexity and gene richness, based on the observed differences between groups using cut points employed in previous studies. For this, we will use logistic regression analyses. We will conduct multiple regression analyses to assess the independent effects of the biological and behavioural factors described above and perform stratified analyses to assess effect modification (or interactions). All analyses will initially be stratified by ethnicity. If no differences in associations between ethnic groups are observed, we will combine the groups for analyses. All analyses will be adjusted for potential confounders (e.g. socio-economic position, age).
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Recruitment
Recruitment status
Completed
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Date of first participant enrolment
Anticipated
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Actual
8/07/2016
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Date of last participant enrolment
Anticipated
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Actual
29/08/2017
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Date of last data collection
Anticipated
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Actual
18/09/2017
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Sample size
Target
272
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Accrual to date
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Final
278
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Recruitment outside Australia
Country [1]
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New Zealand
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State/province [1]
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Auckland area
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Funding & Sponsors
Funding source category [1]
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Government body
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Name [1]
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Health Research Council of New Zealand
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Address [1]
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50 Grafton Road, Grafton, Auckland 1010
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Country [1]
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New Zealand
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Primary sponsor type
Individual
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Name
Professor Bernhard Breier (Chair in Human Nutrition)
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Address
Private Bag 102904 (Massey University)
North Shore
Auckland 0745
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Country
New Zealand
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Secondary sponsor category [1]
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Individual
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Name [1]
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Associate Professor Rozanne Kruger (Associate Professor in Dietetics and Human Nutrition)
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Address [1]
298246
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Private Bag 102904 (Massey University)
North Shore
Auckland 0745
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Country [1]
298246
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New Zealand
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Ethics approval
Ethics application status
Approved
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Ethics committee name [1]
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Health and Disability Ethics Committees (Southern Committee)
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Ethics committee address [1]
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Ministry of Health Freyberg Building 20 Aitken Street PO Box 5013 Wellington 6011
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Ethics committee country [1]
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New Zealand
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Date submitted for ethics approval [1]
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21/03/2016
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Approval date [1]
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30/03/2016
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Ethics approval number [1]
295217
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16/STH/32
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Summary
Brief summary
The prevalence of obesity has increased substantially over recent decades and interventions to halt the epidemic have been unsuccessful. Although the causes of obesity are complex, key drivers include the overconsumption of highly palatable energy-dense and nutrient-poor foods. These dietary changes have had a profound impact on our gut microbiome, which comprises the bacterial community of the bowel. Exciting new evidence suggests that microbial complexity and functionality in the gut may play a crucial role in obesity. In the proposed study we will characterise the gut microbiome in two populations with markedly different metabolic disease risk (Pacific and European women) and different body fat profiles (normal and obese). We will test whether taste perception, diet, sleep and physical activity are key pathways that modify the gut microbiome and its impact on obesity. This new knowledge will help us understand obesity and how best to prevent it.?
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Trial website
www.massey.ac.nz/promise
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Trial related presentations / publications
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Public notes
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Contacts
Principal investigator
Name
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Prof Bernhard Breier
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Address
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Private Bag 102904 (Massey University)
North Shore
Auckland 0745
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Country
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New Zealand
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Phone
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+64 9 2136652
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Fax
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Email
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[email protected]
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Contact person for public queries
Name
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Bernhard Breier
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Address
66555
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Private Bag 102904 (Massey University)
North Shore
Auckland 0745
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Country
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New Zealand
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Phone
66555
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+64 9 2136652
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Fax
66555
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Email
66555
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[email protected]
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Contact person for scientific queries
Name
66556
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Bernhard Breier
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Address
66556
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Private Bag 102904 (Massey University)
North Shore
Auckland 0745
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Country
66556
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New Zealand
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Phone
66556
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+64 9 2136652
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Fax
66556
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Email
66556
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[email protected]
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No information has been provided regarding IPD availability
What supporting documents are/will be available?
No Supporting Document Provided
Results publications and other study-related documents
Documents added manually
No documents have been uploaded by study researchers.
Documents added automatically
Source
Title
Year of Publication
DOI
Embase
Objectively Measured Physical Activity Is Associated With Body Composition and Metabolic Profiles of Pacific and New Zealand European Women With Different Metabolic Disease Risks.
2021
https://dx.doi.org/10.3389/fphys.2021.684782
Embase
The fecal microbiotas of women of Pacific and New Zealand European ethnicities are characterized by distinctive enterotypes that reflect dietary intakes and fecal water content.
2023
https://dx.doi.org/10.1080/19490976.2023.2178801
N.B. These documents automatically identified may not have been verified by the study sponsor.
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