- ICH GCP
- US Clinical Trials Registry
- Clinical Trial NCT03229863
An Examination of Infants' Microbiome, Nutrition, and Development Study. (IMiND)
The Infant MiND Study: An Examination of Infants' Microbiome, Nutrition, and Development Study.
Study Overview
Status
Conditions
Intervention / Treatment
Detailed Description
The purpose of this study is to determine: 1) how the gut bacteria of exclusively breastfed infants changes in response to ingesting solid foods; 2) how infant cognition develops in response to ingesting solid foods; and 3) the relationship between infant gut bacteria and infant cognition during the first year of life.
This study is designed to determine how specific complex carbohydrates in commonly used first foods encourage the growth of different bacteria in the infant gut. The two foods used in this study are commercially-available sweet potato (Plum Organics) and pear (Earth's Best). These two foods have been chosen because they differ substantially from each other in their carbohydrate composition. For example, sweet potato is mostly made up of starch which is digestible and pear is made up of other types of sugars found in fruits and vegetables that are not digestible and may have "prebiotic" effects (food for good bacteria in the gut). Thus, the use of these two foods could provide a good contrast for comparing how gut bacteria respond to different carbohydrate compositions during complementary feeding.
Study Type
Enrollment (Actual)
Phase
- Not Applicable
Contacts and Locations
Study Locations
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-
California
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Davis, California, United States, 95616
- University of California, Davis
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-
Participation Criteria
Eligibility Criteria
Ages Eligible for Study
Accepts Healthy Volunteers
Description
Inclusion Criteria:
- Women, age 21 to 45 years who have delivered a healthy single infant by vaginal delivery and their infants, age 4 to 7.5 months;
- Infants who are developmentally ready for solids;
- Generally healthy women and infants;
- Mothers who plan to exclusively (without solids or infant formula) breastfeed (at the breast or feed breast milk by bottle) their infants for at least 5 months of age and plan to continue to breastfeed with solids and/or infant formula until 12 months of age;
- Mothers who are willing to either use their own breast pump, or hand-express, or use a manual pump provided by the study to collect milk samples;
- Mothers who are willing to refrain from feeding their infants infant formula, non-study solid foods; probiotic or iron supplements (confounding variables of the intestinal microbiome) before the end of the feeding intervention period;
- Term infants born >37 weeks gestation;
- Mother-infant pairs who live within a 20-mile radius from University of California, Davis campus in Davis, California (includes Woodland, Vacaville, Dixon and surrounding areas) or within a 20-mile radius of the University of California, Davis Medical Center (UCDMC) (2221 Stockton Blvd, Sacramento, CA 95817).
Exclusion Criteria:
- Infants with any GI tract abnormalities;
- Infants born by cesarean section;
- Family history of immunodeficiency syndrome(s);
- Multiple infants born to one mother at the same time (no twins, triplets, etc.);
- Infants born with medical complications such as: respiratory distress syndrome, birth defects, and infection;
- Mothers diagnosed with any metabolic or endocrine, liver, kidney disease, any autoimmune disease, cirrhosis, hepatitis C, HIV, AIDS, cancer, obesity (pre-pregnancy BMI >34.9), polycystic ovary syndrome (PCOS), celiac disease, Crohn's disease, heart disease, hyper- or hypothyroidism, hyper- or hypotension (including pre-eclampsia), type 1 or type 2 diabetes.
- Mothers who smoked cigarettes less than one month before becoming pregnant, during pregnancy, and currently or mothers who plan to initiate smoking during the study duration;
- Infants who have taken antibiotics within the past 4 weeks;
- Infants who have taken iron supplements within the past 4 weeks;
- Infants who have consumed infant formula in the past 4 weeks;
- Infants who have consumed infant formula more than 10 days between birth and 4 weeks prior to screening;
- Infants who have consumed any solids;
- Mothers who plan to feed infants solids before 5 months of age;
- Mothers who plan to administer any probiotics to infants throughout the feeding intervention period (first 18 days of the study);
- Infants who have consumed probiotics containing Bifidobacterium within the past 4 weeks or other probiotics within the past 7 days;
- Mothers who live in more than one location (should only live in one house to ensure samples are correctly collected and stored);
- Infants who have hypotonia,
- Infants who have been diagnosed with any medical or nutritional condition that would require iron supplementation.
- Infants who on average pass less than one stool per week.
Study Plan
How is the study designed?
Design Details
- Primary Purpose: Treatment
- Allocation: Randomized
- Interventional Model: Crossover Assignment
- Masking: None (Open Label)
Arms and Interventions
Participant Group / Arm |
Intervention / Treatment |
---|---|
Experimental: Sweet Potatos
Infants will consume commercially available baby food sweet potato (SP) (Plum Organics, Just Sweet Potato) for 7 days followed by a 4 day washout period of exclusive breast milk.
Participants will be instructed to offer 1-2 tablespoons of sweet potato to their infant at least three times per day for seven days in a row.
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Plum Organics, Just Sweet Potato
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Experimental: Pears
Infants will consume commercially available baby food pear (P) (Earth's Best, First Pears) for 7 days followed by a 4 day washout period of exclusive breast milk.
Participants will be instructed to offer 1-2 tablespoons of pears to their infant at least three times per day for seven days in a row.
|
Earth's Best, First Pears
|
What is the study measuring?
Primary Outcome Measures
Outcome Measure |
Measure Description |
Time Frame |
---|---|---|
Infant fecal microbiota composition
Time Frame: Change from baseline, days 14, 19, 25, 29, 60, 90, 120, 150, 180
|
The difference in the relative abundance of the infant fecal microbiome at the order level (top 22 taxonomic orders with abundance expressed as both on log10 scale and a percent of total bacteria) between baseline and post-complementary food intake for each intervention arm (sweet potato vs. pear).
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Change from baseline, days 14, 19, 25, 29, 60, 90, 120, 150, 180
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Infant fecal microbial diversity
Time Frame: Change from baseline, days 14, 19, 25, 29, 60, 90, 120, 150, 180
|
The difference in the infant fecal microbial diversity and microbial function between baseline and post-complementary food intake for each arm (sweet potato vs. pear)
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Change from baseline, days 14, 19, 25, 29, 60, 90, 120, 150, 180
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Incidence of Adverse Events and Treatments
Time Frame: Baseline-days 180
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Incidence of gastrointestinal symptoms (discomfort passing bowel movements, vomiting, constipation, colic or irritability), illnesses, health care visits for sickness, high fevers, antibiotic and medication use.
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Baseline-days 180
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Secondary Outcome Measures
Outcome Measure |
Measure Description |
Time Frame |
---|---|---|
Dietary composition
Time Frame: Change from baseline, days 14, 19, 25, 29, 60, 90, 120, 150, 180
|
The relationship between the relative abundance of the infant fecal microbiome and function, and food glycan composition.
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Change from baseline, days 14, 19, 25, 29, 60, 90, 120, 150, 180
|
Infant cognition
Time Frame: Change from baseline, days 14, 19, 25, 29, 60, 90, 120, 150, 180
|
The relationship between the relative abundance of the infant fecal microbiome, microbial diversity and function, and infant cognition measured at 6, 8 and 12 months of age
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Change from baseline, days 14, 19, 25, 29, 60, 90, 120, 150, 180
|
Infant sleep
Time Frame: Change from baseline, days 14, 19, 25, 29, 60, 90, 120, 150, 180
|
The relationship between the relative abundance of the infant fecal microbiome, microbial diversity and function, and infant sleep, activity and vocalizations measured throughout the study period.
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Change from baseline, days 14, 19, 25, 29, 60, 90, 120, 150, 180
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Maternal secretor status and infant fecal microbiota
Time Frame: Change from baseline, days 14, 19, 25, 29, 60, 90, 120, 150, 180
|
The relationship between maternal secretor status (via measurement of human milk oligosaccharides in breast milk) and the relative abundance of the infant fecal microbiome, microbial diversity and function before, during and after introduction of complementary foods.
|
Change from baseline, days 14, 19, 25, 29, 60, 90, 120, 150, 180
|
Infant secretor status and fecal microbiota
Time Frame: Change from baseline, days 14, 19, 25, 29, 60, 90, 120, 150, 180
|
The relationship between infant secretor status (via measurement of oligosaccharides in saliva) the relative abundance of the infant fecal microbiome, microbial diversity and function before, during and after introduction of complementary foods.
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Change from baseline, days 14, 19, 25, 29, 60, 90, 120, 150, 180
|
Maternal and infant fecal microbiota
Time Frame: Change from baseline, days 14, 19, 25, 29, 60, 90, 120, 150, 180
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The relationship between maternal and infant fecal microbiome.
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Change from baseline, days 14, 19, 25, 29, 60, 90, 120, 150, 180
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Infant fecal human milk oligosaccharide concentrations
Time Frame: Change from baseline, days 14, 19, 25, 29, 60, 90, 120, 150, 180
|
The change in infant fecal human milk oligosaccharide concentrations before, during and after introduction of complementary foods.
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Change from baseline, days 14, 19, 25, 29, 60, 90, 120, 150, 180
|
Infant weight
Time Frame: Change from baseline, days 14, 19, 25, 29, 60, 90, 120, 150, 180
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Determine the relationship between infant weight and the relative abundance of the infant fecal microbiome, microbial diversity and function before, during and after introduction of complementary foods
|
Change from baseline, days 14, 19, 25, 29, 60, 90, 120, 150, 180
|
Human milk metabolomics
Time Frame: Change from baseline, days 14, 19, 25, 29, 60, 90, 120, 150, 180
|
Determine the relationship between human milk metabolomics (metabolites, fatty acids, proteins) and the infant fecal microbiome.
|
Change from baseline, days 14, 19, 25, 29, 60, 90, 120, 150, 180
|
Fecal metabolomics
Time Frame: Change from baseline, days 14, 19, 25, 29, 60, 90, 120, 150, 180
|
Determine the relationship between fecal metabolites (metabolites, fatty acids, proteins) and fecal microbiome.
|
Change from baseline, days 14, 19, 25, 29, 60, 90, 120, 150, 180
|
Infant gastrointestinal function
Time Frame: Change from baseline, days 14, 19, 25, 29, 60, 90, 120, 150, 180
|
Change in GI function as a means to monitor tolerability before, during and after introduction of complementary foods (through the measurement of fecal inflammatory mediators, GI barrier function markers and fecal LPS).
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Change from baseline, days 14, 19, 25, 29, 60, 90, 120, 150, 180
|
Glycosidic linkages
Time Frame: Change from baseline to day 29
|
Evaluate the glycosidic linkages in interventional foods and the infant fecal microbiome.
|
Change from baseline to day 29
|
Collaborators and Investigators
Sponsor
Investigators
- Principal Investigator: Lisa Oakes, PhD, University of California, Davis
- Principal Investigator: Jennifer Smilowitz, PhD, University of California, Davis
Publications and helpful links
General Publications
- Totten SM, Zivkovic AM, Wu S, Ngyuen U, Freeman SL, Ruhaak LR, Darboe MK, German JB, Prentice AM, Lebrilla CB. Comprehensive profiles of human milk oligosaccharides yield highly sensitive and specific markers for determining secretor status in lactating mothers. J Proteome Res. 2012 Dec 7;11(12):6124-33. doi: 10.1021/pr300769g. Epub 2012 Nov 19.
- Sela DA, Garrido D, Lerno L, Wu S, Tan K, Eom HJ, Joachimiak A, Lebrilla CB, Mills DA. Bifidobacterium longum subsp. infantis ATCC 15697 alpha-fucosidases are active on fucosylated human milk oligosaccharides. Appl Environ Microbiol. 2012 Feb;78(3):795-803. doi: 10.1128/AEM.06762-11. Epub 2011 Dec 2.
- Sela DA, Li Y, Lerno L, Wu S, Marcobal AM, German JB, Chen X, Lebrilla CB, Mills DA. An infant-associated bacterial commensal utilizes breast milk sialyloligosaccharides. J Biol Chem. 2011 Apr 8;286(14):11909-18. doi: 10.1074/jbc.M110.193359. Epub 2011 Feb 2. Erratum In: J Biol Chem. 2011 Jul 1;286(26):23620.
- LoCascio RG, Ninonuevo MR, Freeman SL, Sela DA, Grimm R, Lebrilla CB, Mills DA, German JB. Glycoprofiling of bifidobacterial consumption of human milk oligosaccharides demonstrates strain specific, preferential consumption of small chain glycans secreted in early human lactation. J Agric Food Chem. 2007 Oct 31;55(22):8914-9. doi: 10.1021/jf0710480. Epub 2007 Oct 5.
- Garrido D, Kim JH, German JB, Raybould HE, Mills DA. Oligosaccharide binding proteins from Bifidobacterium longum subsp. infantis reveal a preference for host glycans. PLoS One. 2011 Mar 15;6(3):e17315. doi: 10.1371/journal.pone.0017315.
- Foster JA, McVey Neufeld KA. Gut-brain axis: how the microbiome influences anxiety and depression. Trends Neurosci. 2013 May;36(5):305-12. doi: 10.1016/j.tins.2013.01.005. Epub 2013 Feb 4.
- Sela DA, Chapman J, Adeuya A, Kim JH, Chen F, Whitehead TR, Lapidus A, Rokhsar DS, Lebrilla CB, German JB, Price NP, Richardson PM, Mills DA. The genome sequence of Bifidobacterium longum subsp. infantis reveals adaptations for milk utilization within the infant microbiome. Proc Natl Acad Sci U S A. 2008 Dec 2;105(48):18964-9. doi: 10.1073/pnas.0809584105. Epub 2008 Nov 24.
- Penders J, Thijs C, Vink C, Stelma FF, Snijders B, Kummeling I, van den Brandt PA, Stobberingh EE. Factors influencing the composition of the intestinal microbiota in early infancy. Pediatrics. 2006 Aug;118(2):511-21. doi: 10.1542/peds.2005-2824.
- Mitsuoka T, Kaneuchi C. Ecology of the bifidobacteria. Am J Clin Nutr. 1977 Nov;30(11):1799-810. doi: 10.1093/ajcn/30.11.1799. No abstract available.
- Bezirtzoglou E, Tsiotsias A, Welling GW. Microbiota profile in feces of breast- and formula-fed newborns by using fluorescence in situ hybridization (FISH). Anaerobe. 2011 Dec;17(6):478-82. doi: 10.1016/j.anaerobe.2011.03.009. Epub 2011 Apr 8.
- Tao N, DePeters EJ, Freeman S, German JB, Grimm R, Lebrilla CB. Bovine milk glycome. J Dairy Sci. 2008 Oct;91(10):3768-78. doi: 10.3168/jds.2008-1305.
- Tao N, DePeters EJ, German JB, Grimm R, Lebrilla CB. Variations in bovine milk oligosaccharides during early and middle lactation stages analyzed by high-performance liquid chromatography-chip/mass spectrometry. J Dairy Sci. 2009 Jul;92(7):2991-3001. doi: 10.3168/jds.2008-1642.
- Hoskin-Parr L, Teyhan A, Blocker A, Henderson AJ. Antibiotic exposure in the first two years of life and development of asthma and other allergic diseases by 7.5 yr: a dose-dependent relationship. Pediatr Allergy Immunol. 2013 Dec;24(8):762-71. doi: 10.1111/pai.12153. Epub 2013 Dec 2.
- Dominguez-Bello MG, Costello EK, Contreras M, Magris M, Hidalgo G, Fierer N, Knight R. Delivery mode shapes the acquisition and structure of the initial microbiota across multiple body habitats in newborns. Proc Natl Acad Sci U S A. 2010 Jun 29;107(26):11971-5. doi: 10.1073/pnas.1002601107. Epub 2010 Jun 21.
- Makino H, Kushiro A, Ishikawa E, Muylaert D, Kubota H, Sakai T, Oishi K, Martin R, Ben Amor K, Oozeer R, Knol J, Tanaka R. Transmission of intestinal Bifidobacterium longum subsp. longum strains from mother to infant, determined by multilocus sequencing typing and amplified fragment length polymorphism. Appl Environ Microbiol. 2011 Oct;77(19):6788-93. doi: 10.1128/AEM.05346-11. Epub 2011 Aug 5.
- Backhed F, Roswall J, Peng Y, Feng Q, Jia H, Kovatcheva-Datchary P, Li Y, Xia Y, Xie H, Zhong H, Khan MT, Zhang J, Li J, Xiao L, Al-Aama J, Zhang D, Lee YS, Kotowska D, Colding C, Tremaroli V, Yin Y, Bergman S, Xu X, Madsen L, Kristiansen K, Dahlgren J, Wang J. Dynamics and Stabilization of the Human Gut Microbiome during the First Year of Life. Cell Host Microbe. 2015 May 13;17(5):690-703. doi: 10.1016/j.chom.2015.04.004. Erratum In: Cell Host Microbe. 2015 Jun 10;17(6):852. Jun, Wang [corrected to Wang, Jun]. Cell Host Microbe. 2015 Jun 10;17(6):852.
- Krebs NF, Sherlock LG, Westcott J, Culbertson D, Hambidge KM, Feazel LM, Robertson CE, Frank DN. Effects of different complementary feeding regimens on iron status and enteric microbiota in breastfed infants. J Pediatr. 2013 Aug;163(2):416-23. doi: 10.1016/j.jpeds.2013.01.024. Epub 2013 Feb 26.
- Davis LM, Martinez I, Walter J, Hutkins R. A dose dependent impact of prebiotic galactooligosaccharides on the intestinal microbiota of healthy adults. Int J Food Microbiol. 2010 Dec 15;144(2):285-92. doi: 10.1016/j.ijfoodmicro.2010.10.007. Epub 2010 Oct 14.
- Faith JJ, Guruge JL, Charbonneau M, Subramanian S, Seedorf H, Goodman AL, Clemente JC, Knight R, Heath AC, Leibel RL, Rosenbaum M, Gordon JI. The long-term stability of the human gut microbiota. Science. 2013 Jul 5;341(6141):1237439. doi: 10.1126/science.1237439.
- Martinez I, Muller CE, Walter J. Long-term temporal analysis of the human fecal microbiota revealed a stable core of dominant bacterial species. PLoS One. 2013 Jul 16;8(7):e69621. doi: 10.1371/journal.pone.0069621. Print 2013.
- de Theije CG, Wopereis H, Ramadan M, van Eijndthoven T, Lambert J, Knol J, Garssen J, Kraneveld AD, Oozeer R. Altered gut microbiota and activity in a murine model of autism spectrum disorders. Brain Behav Immun. 2014 Mar;37:197-206. doi: 10.1016/j.bbi.2013.12.005. Epub 2013 Dec 11.
- Song Y, Liu C, Finegold SM. Real-time PCR quantitation of clostridia in feces of autistic children. Appl Environ Microbiol. 2004 Nov;70(11):6459-65. doi: 10.1128/AEM.70.11.6459-6465.2004.
- Wang L, Christophersen CT, Sorich MJ, Gerber JP, Angley MT, Conlon MA. Low relative abundances of the mucolytic bacterium Akkermansia muciniphila and Bifidobacterium spp. in feces of children with autism. Appl Environ Microbiol. 2011 Sep;77(18):6718-21. doi: 10.1128/AEM.05212-11. Epub 2011 Jul 22.
- Diaz Heijtz R, Wang S, Anuar F, Qian Y, Bjorkholm B, Samuelsson A, Hibberd ML, Forssberg H, Pettersson S. Normal gut microbiota modulates brain development and behavior. Proc Natl Acad Sci U S A. 2011 Feb 15;108(7):3047-52. doi: 10.1073/pnas.1010529108. Epub 2011 Jan 31.
- Collins SM, Surette M, Bercik P. The interplay between the intestinal microbiota and the brain. Nat Rev Microbiol. 2012 Nov;10(11):735-42. doi: 10.1038/nrmicro2876. Epub 2012 Sep 24.
- Borre YE, O'Keeffe GW, Clarke G, Stanton C, Dinan TG, Cryan JF. Microbiota and neurodevelopmental windows: implications for brain disorders. Trends Mol Med. 2014 Sep;20(9):509-18. doi: 10.1016/j.molmed.2014.05.002. Epub 2014 Jun 20.
- Rotmistrovsky, K. and R. Agarwala, BMTagger: Best Match Tagger for removing human reads from metagenomics datasets. 2011.
- Schmieder R, Edwards R. Fast identification and removal of sequence contamination from genomic and metagenomic datasets. PLoS One. 2011 Mar 9;6(3):e17288. doi: 10.1371/journal.pone.0017288.
- Ames SK, Gardner SN, Marti JM, Slezak TR, Gokhale MB, Allen JE. Using populations of human and microbial genomes for organism detection in metagenomes. Genome Res. 2015 Jul;25(7):1056-67. doi: 10.1101/gr.184879.114. Epub 2015 Apr 29.
- Kleinman RE. American Academy of Pediatrics recommendations for complementary feeding. Pediatrics. 2000 Nov;106(5):1274. No abstract available.
- Arumugam M, Raes J, Pelletier E, Le Paslier D, Yamada T, Mende DR, Fernandes GR, Tap J, Bruls T, Batto JM, Bertalan M, Borruel N, Casellas F, Fernandez L, Gautier L, Hansen T, Hattori M, Hayashi T, Kleerebezem M, Kurokawa K, Leclerc M, Levenez F, Manichanh C, Nielsen HB, Nielsen T, Pons N, Poulain J, Qin J, Sicheritz-Ponten T, Tims S, Torrents D, Ugarte E, Zoetendal EG, Wang J, Guarner F, Pedersen O, de Vos WM, Brunak S, Dore J; MetaHIT Consortium; Antolin M, Artiguenave F, Blottiere HM, Almeida M, Brechot C, Cara C, Chervaux C, Cultrone A, Delorme C, Denariaz G, Dervyn R, Foerstner KU, Friss C, van de Guchte M, Guedon E, Haimet F, Huber W, van Hylckama-Vlieg J, Jamet A, Juste C, Kaci G, Knol J, Lakhdari O, Layec S, Le Roux K, Maguin E, Merieux A, Melo Minardi R, M'rini C, Muller J, Oozeer R, Parkhill J, Renault P, Rescigno M, Sanchez N, Sunagawa S, Torrejon A, Turner K, Vandemeulebrouck G, Varela E, Winogradsky Y, Zeller G, Weissenbach J, Ehrlich SD, Bork P. Enterotypes of the human gut microbiome. Nature. 2011 May 12;473(7346):174-80. doi: 10.1038/nature09944. Epub 2011 Apr 20. Erratum In: Nature. 2011 Jun 30;474(7353):666. Nature. 2014 Feb 27;506(7489):516.
- Vatanen T, Kostic AD, d'Hennezel E, Siljander H, Franzosa EA, Yassour M, Kolde R, Vlamakis H, Arthur TD, Hamalainen AM, Peet A, Tillmann V, Uibo R, Mokurov S, Dorshakova N, Ilonen J, Virtanen SM, Szabo SJ, Porter JA, Lahdesmaki H, Huttenhower C, Gevers D, Cullen TW, Knip M; DIABIMMUNE Study Group; Xavier RJ. Variation in Microbiome LPS Immunogenicity Contributes to Autoimmunity in Humans. Cell. 2016 May 5;165(4):842-53. doi: 10.1016/j.cell.2016.04.007. Epub 2016 Apr 28. Erratum In: Cell. 2016 Jun 2;165(6):1551.
Helpful Links
Study record dates
Study Major Dates
Study Start (Actual)
Primary Completion (Actual)
Study Completion (Estimated)
Study Registration Dates
First Submitted
First Submitted That Met QC Criteria
First Posted (Actual)
Study Record Updates
Last Update Posted (Estimated)
Last Update Submitted That Met QC Criteria
Last Verified
More Information
Terms related to this study
Keywords
Additional Relevant MeSH Terms
Other Study ID Numbers
- 919505
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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