Student or educator? Sign up with your school email and get 6 months of Pro free.
CoChat
Sign Up
Cited by 282

The DOI matches its Crossref record; 33 of the 33 references it cites were found in a registry or an index.

Establishing What Constitutes a Healthy Human Gut Microbiome: State of the Science, Regulatory Considerations, and Future Directions

Open access
McBurney, Michael I, Davis, Cindy, Fraser, Claire M, Schneeman, Barbara O, Huttenhower, Curtis, Verbeke, Kristin, Walter, Jens, Latulippe, Marie E·2019·The Journal of Nutrition
DOI 10.1093/jn/nxz154
Open this paper in CoChat — free account

Abstract

On December 17, 2018, the North American branch of the International Life Sciences Institute (ILSI North America) convened a workshop "Can We Begin to Define a Healthy Gut Microbiome Through Quantifiable Characteristics?" with >40 invited academic, government, and industry experts in Washington, DC. The workshop objectives were to 1) develop a collective expert assessment of the state of the evidence on the human gut microbiome and associated human health benefits, 2) see if there was sufficient evidence to establish measurable gut microbiome characteristics that could serve as indicators of "health," 3) identify short- and long-term research needs to fully characterize healthy gut microbiome-host relationships, and 4) publish the findings. Conclusions were as follows: 1) mechanistic links of specific changes in gut microbiome structure with function or markers of human health are not yet established; 2) it is not established if dysbiosis is a cause, consequence, or both of changes in human gut epithelial function and disease; 3) microbiome communities are highly individualized, show a high degree of interindividual variation to perturbation, and tend to be stable over years; 4) the complexity of microbiome-host interactions requires a comprehensive, multidisciplinary research agenda to elucidate relationships between gut microbiome and host health; 5) biomarkers and/or surrogate indicators of host function and pathogenic processes based on the microbiome need to be determined and validated, along with normal ranges, using approaches similar to those used to establish biomarkers and/or surrogate indicators based on host metabolic phenotypes; 6) future studies measuring responses to an exposure or intervention need to combine validated microbiome-related biomarkers and/or surrogate indicators with multiomics characterization of the microbiome; and 7) because static genetic sampling misses important short- and long-term microbiome-related dynamic changes to host health, future studies must be powered to account for inter- and intraindividual variation and should use repeated measures within individuals.

Overview

The claims and statistics of this paper haven’t been checked yet.

Run the check — free, no account needed. It reads the open-access text and checks the sources it cites.

A few free checks a day · papers already verified open instantly · results are public

Integrity signals

Registry

Crossref · 10.1093/jn/nxz154

Cites

33 of 33 references verified0 citation errors · 0 not checkable

Statistics

Verification

Claims the paper makes

The claims and statistics of this paper haven’t been checked yet.

Run the check — free, no account needed. It reads the open-access text and checks the sources it cites.

A few free checks a day · papers already verified open instantly · results are public

Self-check

Percentages, sums and reported differences re-computed from the paper’s own numbers.

The self-check needs the paper’s full text.

Citations

Cites

Show all 33 references

Research works printed but not linked: 133

  1. Leiby, 2018, Lack of detection of a human placenta microbiome in samples from preterm and term deliveries, Microbiome, 6, 196, 10.1186/s40168-018-0575-4 · DOI · Paper page
  2. Lim, 2018, Amniotic fluid from healthy term pregnancies does not harbor a detectable microbial community, Microbiome, 6, 87, 10.1186/s40168-018-0475-7 · DOI
  3. Ferretti, 2018, Mother-to-infant microbial transmission from different body sites shapes the developing infant gut microbiome, Cell Host Microbe, 24, 133, 10.1016/j.chom.2018.06.005 · DOI · Paper page
  4. Matamoros, 2013, Development of intestinal microbiota in infants and its impact on health, Trends Microbiol, 21, 167, 10.1016/j.tim.2012.12.001 · DOI · Paper page
  5. Koenig, 2011, Succession of microbial consortia in the developing infant gut microbiome, Proc Natl Acad Sci, 108, 4578, 10.1073/pnas.1000081107 · DOI · Paper page
  6. Flaherman, 2018, The effect of early limited formula on breastfeeding, readmission, and intestinal microbiota: a randomized clinical trial, J Pediatr, 196, 84, 10.1016/j.jpeds.2017.12.073 · DOI
  7. Azad, 2013, Gut microbiota of healthy Canadian infants: profiles by mode of delivery and infant diet at 4 months, Can Med Assoc J, 185, 385, 10.1503/cmaj.121189 · DOI · Paper page
  8. Ho, 2018, Meta-analysis of effects of exclusive breastfeeding on infant gut microbiota across populations, Nat Commun, 9, 4169, 10.1038/s41467-018-06473-x · DOI · Paper page
  9. Forbes, 2018, Association of exposure to formula in the hospital and subsequent infant feeding practices with gut microbiota and risk of overweight in the first year of life, JAMA Pediatr, 172, e181161, 10.1001/jamapediatrics.2018.1161 · DOI · Paper page
  10. Borewicz, 2019, The effect of prebiotic fortified infant formulas on microbiota composition and dynamics in early life, Sci Rep, 9, 2434, 10.1038/s41598-018-38268-x · DOI
  11. McFarland, 2018, Strain-specificity and disease-specificity of probiotic efficacy: a systematic review and meta-analysis, Front Med, 5, 124, 10.3389/fmed.2018.00124 · DOI · Paper page
  12. Esaiassen, 2018, Effects of probiotic supplementation on the gut microbiota and antibiotic resistome development in preterm infants, Front Pediatr, 6, 347, 10.3389/fped.2018.00347 · DOI · Paper page
  13. Langdon, 2016, The effects of antibiotics on the microbiome throughout development and alternative approaches for therapeutic modulation, Genome Med, 8, 39, 10.1186/s13073-016-0294-z · DOI · Paper page
  14. Hermansson, 2019, Breast milk microbiota is shaped by mode of delivery and intrapartum antibiotic exposure, Front Nutr, 6, 4, 10.3389/fnut.2019.00004 · DOI
  15. Mueller, 2015, The infant microbiome development: mom matters, Trends Mol Med, 21, 109, 10.1016/j.molmed.2014.12.002 · DOI · Paper page
  16. Backhed, 2012, Defining a healthy human gut microbiome: current concepts, future directions, and clinical applications, Cell Host Microbe, 12, 611, 10.1016/j.chom.2012.10.012 · DOI · Paper page
  17. Foster, 2017, The evolution of the host microbiome as an ecosystem on a leash, Nature, 548, 43, 10.1038/nature23292 · DOI · Paper page
  18. Holmes, 2011, Effect modification by population dietary folate on the association between MTHFR genotype, homocysteine, and stroke risk: a meta-analysis of genetic studies and randomised trials, Lancet North Am Ed, 378, 584, 10.1016/S0140-6736(11)60872-6 · DOI · Paper page
  19. Holmes, 2012, Gut microbiota composition and activity in relation to host metabolic phenotype and disease risk, Cell Metabolism, 16, 559, 10.1016/j.cmet.2012.10.007 · DOI · Paper page
  20. Fei, 2013, An opportunistic pathogen isolated from the gut of an obese human causes obesity in germfree mice, ISME J, 7, 880, 10.1038/ismej.2012.153 · DOI · Paper page
  21. Surana, 2017, Moving beyond microbiome-wide associations to causal microbe identification, Nature, 552, 244, 10.1038/nature25019 · DOI
  22. Round, 2018, Causal effects of the microbiota on immune-mediated diseases, Sci Immunol, 3, eaao1603, 10.1126/sciimmunol.aao1603 · DOI
  23. Tremlett, 2017, The gut microbiome in human neurological disease: a review: gut microbiome, Ann Neurol, 81, 369, 10.1002/ana.24901 · DOI · Paper page
  24. Fischbach, 2018, Microbiome: focus on causation and mechanism, Cell, 174, 785, 10.1016/j.cell.2018.07.038 · DOI
  25. Martin, 2016, Early-life events, including mode of delivery and type of feeding, siblings and gender, shape the developing gut microbiota, PLoS One, 11, e0158498, 10.1371/journal.pone.0158498 · DOI · Paper page
  26. Gregory, 2016, Influence of maternal breast milk ingestion on acquisition of the intestinal microbiome in preterm infants, Microbiome, 4, 68, 10.1186/s40168-016-0214-x · DOI
  27. Korpela, 2018, Probiotic supplementation restores normal microbiota composition and function in antibiotic-treated and in caesarean-born infants, Microbiome, 6, 182, 10.1186/s40168-018-0567-4 · DOI
  28. Hildebrand, 2008, Early-life exposures associated with antibiotic use and risk of subsequent Crohn's disease, Scand J Gastroenterol, 43, 961, 10.1080/00365520801971736 · DOI
  29. Lohner, 2014, Prebiotics in healthy infants and children for prevention of acute infectious diseases: a systematic review and meta-analysis, Nutr Rev, 72, 523, 10.1111/nure.12117 · DOI
  30. Vellend, 2010, Conceptual synthesis in community ecology, Q Rev Biol, 85, 183, 10.1086/652373 · DOI · Paper page
  31. Wang, 2016, Genome-wide association analysis identifies variation in vitamin D receptor and other host factors influencing the gut microbiota, Nat Genet, 48, 1396, 10.1038/ng.3695 · DOI · Paper page
  32. Vatanen, 2018, Genomic variation and strain-specific functional adaptation in the human gut microbiome during early life, Nat Microbiol, 4, 470, 10.1038/s41564-018-0321-5 · DOI
  33. Marcobal, 2012, Human milk oligosaccharide consumption by intestinal microbiota, Clin Microbiol Infect, 18, 12, 10.1111/j.1469-0691.2012.03863.x · DOI · Paper page
  34. Antonopoulos, 2009, Reproducible community dynamics of the gastrointestinal microbiota following antibiotic perturbation, Infect Immun, 77, 2367, 10.1128/IAI.01520-08 · DOI · Paper page
  35. Fedacko, 2019, Globalization of diets and risk of noncommunicable diseases, The role of functional food security in global health, 87
  36. Campbell-Lendrum, 2019, Climate change, air pollution and noncommunicable diseases, Bull World Health Organ, 97, 160, 10.2471/BLT.18.224295 · DOI
  37. Fragiadakis, 2019, Links between environment, diet, and the hunter-gatherer microbiome, Gut Microbes, 10, 216, 10.1080/19490976.2018.1494103 · DOI
  38. Wan, 2019, Effects of dietary fat on gut microbiota and faecal metabolites, and their relationship with cardiometabolic risk factors: a 6-month randomised controlled-feeding trial, Gut, 68, 1414, 10.1136/gutjnl-2018-317609 · DOI · Paper page
  39. Saxelin, 2010, Persistence of probiotic strains in the gastrointestinal tract when administered as capsules, yoghurt, or cheese, Int J Food Microbiol, 144, 293, 10.1016/j.ijfoodmicro.2010.10.009 · DOI
  40. Venkataraman, 2016, Variable responses of human microbiomes to dietary supplementation with resistant starch, Microbiome, 4, 33, 10.1186/s40168-016-0178-x · DOI · Paper page
  41. Hadizadeh, 2017, Stool frequency is associated with gut microbiota composition, Gut, 66, 559, 10.1136/gutjnl-2016-311935 · DOI
  42. Roager, 2016, Colonic transit time is related to bacterial metabolism and mucosal turnover in the gut, Nat Microbiol, 1, 16093, 10.1038/nmicrobiol.2016.93 · DOI · Paper page
  43. David, 2014, Diet rapidly and reproducibly alters the human gut microbiome, Nature, 505, 559, 10.1038/nature12820 · DOI · Paper page
  44. Venkataraman, 2016, Variable responses of human microbiomes to dietary supplementation with resistant starch, Microbiome, 4, 33, 10.1186/s40168-016-0178-x · DOI · Paper page
  45. Martínez, 2010, Resistant starches types 2 and 4 have differential effects on the composition of the fecal microbiota in human subjects, PLoS One, 5, e15046, 10.1371/journal.pone.0015046 · DOI · Paper page
  46. Schlomann, 2019, Low-dose antibiotics can collapse gut bacterial populations via a gelation transition [Internet], Microbiology.
  47. Janssens, 2018, Disbiome database: linking the microbiome to disease, BMC Microbiol, 18, 50, 10.1186/s12866-018-1197-5 · DOI
  48. Insel, 2018, Prospects for primary prevention of type 1 diabetes by restoring a disappearing microbe, Pediatr Diabetes, 19, 1400, 10.1111/pedi.12756 · DOI
  49. Maldonado-Gómez, 2016, Stable engraftment of Bifidobacterium longum AH1206 in the human gut depends on individualized features of the resident microbiome, Cell Host Microbe, 20, 515, 10.1016/j.chom.2016.09.001 · DOI · Paper page
  50. Deschasaux, 2018, Depicting the composition of gut microbiota in a population with varied ethnic origins but shared geography, Nat Med, 24, 1526, 10.1038/s41591-018-0160-1 · DOI · Paper page
  51. Vangay, 2018, US immigration westernizes the human gut microbiome, Cell, 175, 962, 10.1016/j.cell.2018.10.029 · DOI · Paper page
  52. Miller, 2016, Lower neighborhood socioeconomic status associated with reduced diversity of the colonic microbiota in healthy adults, PLoS One, 11, e0148952, 10.1371/journal.pone.0148952 · DOI
  53. Snijder, 2017, Cohort profile: the Healthy Life in an Urban Setting (HELIUS) study in Amsterdam, The Netherlands, BMJ Open, 7, e017873, 10.1136/bmjopen-2017-017873 · DOI · Paper page
  54. Beukers, 2015, Development of the HELIUS food frequency questionnaires: ethnic-specific questionnaires to assess the diet of a multiethnic population in The Netherlands, Eur J Clin Nutr, 69, 579, 10.1038/ejcn.2014.180 · DOI
  55. Costea, 2017, Towards standards for human fecal sample processing in metagenomic studies, Nat Biotechnol, 35, 1069, 10.1038/nbt.3960 · DOI · Paper page
  56. Kritchevsky, 1988, Dietary fiber, Ann Rev Nutr, 8, 301, 10.1146/annurev.nu.08.070188.001505 · DOI
  57. Trowell, 1987, The development of the concept of dietary fibre, Mol Aspects Med, 9, 7, 10.1016/0098-2997(87)90013-6 · DOI
  58. Makki, 2018, The impact of dietary fiber on gut microbiota in host health and disease, Cell Host Microbe, 23, 705, 10.1016/j.chom.2018.05.012 · DOI · Paper page
  59. Flint, 2017, The impact of nutrition on intestinal bacterial communities, Curr Opin Microbiol, 38, 59, 10.1016/j.mib.2017.04.005 · DOI · Paper page
  60. Sonnenburg, 2014, Starving our microbial self: the deleterious consequences of a diet deficient in microbiota-accessible carbohydrates, Cell Metabolism, 20, 779, 10.1016/j.cmet.2014.07.003 · DOI · Paper page
  61. McBurney, 1997, Short chain fatty acids, intestinal adaptation, and nutrient utilization, Adv Exp Med Biol, 427, 135, 10.1007/978-1-4615-5967-2_15 · DOI
  62. Windey, 2012, Modulation of protein fermentation does not affect fecal water toxicity: a randomized cross-over study in healthy subjects, PLoS One, 7, e52387, 10.1371/journal.pone.0052387 · DOI
  63. Windey, 2014, High dose of prebiotics reduces fecal water cytotoxicity in healthy subjects, Mol Nutr Food Res, 58, 2206, 10.1002/mnfr.201400298 · DOI
  64. McBurney, 1987, Colonic carcinogenesis: The microbial feast or famine mechanism, Nutr Cancer, 10, 23, 10.1080/01635588709513937 · DOI
  65. Cummings, 1991, The control and consequences of bacterial fermentation in the human colon, J Appl Bacteriol, 70, 443, 10.1111/j.1365-2672.1991.tb02739.x · DOI · Paper page
  66. Windey, 2015, Wheat bran extract alters colonic fermentation and microbial composition, but does not affect faecal water toxicity: a randomised controlled trial in healthy subjects, Br J Nutr, 113, 225, 10.1017/S0007114514003523 · DOI
  67. Francois, 2012, Effects of a wheat bran extract containing arabinoxylan oligosaccharides on gastrointestinal health parameters in healthy adult human volunteers: a double-blind, randomised, placebo-controlled, cross-over trial, Br J Nutr, 108, 2229, 10.1017/S0007114512000372 · DOI
  68. De Preter, 2006, Influence of long-term administration of lactulose and Sacchar omyces boulardii on the colonic generation of phenolic compounds in healthy human subjects, J Am Coll Nutr, 25, 541, 10.1080/07315724.2006.10719570 · DOI
  69. La Fata, 2017, Recent development of prebiotic research—statement from an expert workshop, Nutrients, 9, 1376, 10.3390/nu9121376 · DOI
  70. Bindels, 2015, Towards a more comprehensive concept for prebiotics, Nat Rev Gastroenterol Hepatol, 12, 303, 10.1038/nrgastro.2015.47 · DOI · Paper page
  71. Buddington, 2017, Oligofructose provides laxation for irregularity associated with low fiber intake, Nutrients, 9, 1372, 10.3390/nu9121372 · DOI
  72. Schroeder, 2018, Bifidobacteria or fiber protects against diet-induced microbiota-mediated colonic mucus deterioration, Cell Host Microbe, 23, 27, 10.1016/j.chom.2017.11.004 · DOI · Paper page
  73. Holscher, 2017, Dietary fiber and prebiotics and the gastrointestinal microbiota, Gut Microbes, 8, 172, 10.1080/19490976.2017.1290756 · DOI · Paper page
  74. Carlson, 2017, Prebiotic dietary fiber and gut health: comparing the in vitro fermentations of beta-glucan, inulin and xylooligosaccharide, Nutrients, 9, 1361, 10.3390/nu9121361 · DOI
  75. Watson, 2013, Selective carbohydrate utilization by lactobacilli and bifidobacteria, J Appl Microbiol, 114, 1132, 10.1111/jam.12105 · DOI
  76. McBurney, 1991, Potential water-holding capacity and short-chain fatty acid production from purified fiber sources in a fecal incubation system, Nutrition, 7, 421
  77. François, 2014, Effects of wheat bran extract containing arabinoxylan oligosaccharides on gastrointestinal parameters in healthy preadolescent children, J Pediatr Gastroenterol Nutr, 58, 647, 10.1097/MPG.0000000000000285 · DOI
  78. Damen, 2012, Consumption of breads containing in situ–produced arabinoxylan oligosaccharides alters gastrointestinal effects in healthy volunteers–3, J Nutr, 142, 470, 10.3945/jn.111.146464 · DOI
  79. Davis, 2011, Barcoded pyrosequencing reveals that consumption of galactooligosaccharides results in a highly specific bifidogenic response in humans, PLoS One, 6, e25200, 10.1371/journal.pone.0025200 · DOI · Paper page
  80. Lam, 2018, Causality in dietary interventions—building a case for gut microbiota, Genome Med, 10, 62, 10.1186/s13073-018-0573-y · DOI
  81. François, 2014, Effects of wheat bran extract containing arabinoxylan oligosaccharides on gastrointestinal parameters in healthy preadolescent children, J Pediatr Gastroenterol Nutr, 58, 647, 10.1097/MPG.0000000000000285 · DOI
  82. Bindels, 2017, Resistant starch can improve insulin sensitivity independently of the gut microbiota, Microbiome, 5, 12, 10.1186/s40168-017-0230-5 · DOI
  83. Schloissnig, 2012, Genomic variation landscape of the human gut microbiome, Nature, 493, 45, 10.1038/nature11711 · DOI · Paper page
  84. Lahti, 2013, Associations between the human intestinal microbiota, Lactobacillus rhamnosus GG and serum lipids indicated by integrated analysis of high-throughput profiling data, PeerJ, 1, e32, 10.7717/peerj.32 · DOI
  85. Taverniti, 2019, Effect of cell concentration on the persistence in the human intestine of four probiotic strains administered through a multispecies formulation, Nutrients, 11, 285, 10.3390/nu11020285 · DOI
  86. Jacobsen, 1999, Screening of probiotic activities of forty-seven strains of lactobacillus spp. by in vitro techniques and evaluation of the colonization ability of five selected strains in humans, Appl Environ Microbiol, 65, 8, 10.1128/AEM.65.11.4949-4956.1999 · DOI · Paper page
  87. Tannock, 2000, Analysis of the fecal microflora of human subjects consuming a probiotic product containing Lactobacillus rhamnosus DR20, Appl Environ Microbiol, 66, 2578, 10.1128/AEM.66.6.2578-2588.2000 · DOI · Paper page
  88. Rattanaprasert, 2014, Quantitative evaluation of synbiotic strategies to improve persistence and metabolic activity of Lactobacillus reuteri DSM 17938 in the human gastrointestinal tract, J Funct Foods, 10, 85, 10.1016/j.jff.2014.05.017 · DOI
  89. Davoren, 2018, A novel probiotic, Lactobacillus johnsonii 456, resists acid and can persist in the human gut beyond the initial ingestion period, Gut Microbes
  90. Walter, 2018, To engraft or not to engraft: an ecological framework for gut microbiome modulation with live microbes, Curr Opin Biotechnol, 49, 129, 10.1016/j.copbio.2017.08.008 · DOI
  91. Lawley, 2013, Intestinal colonization resistance, Immunology, 138, 1, 10.1111/j.1365-2567.2012.03616.x · DOI · Paper page
  92. Beaton, 1983, Source of variance in 24-hour dietary recall data: implications for nutrition study design and interpretation. Carbohydrate sources, vitamins, and minerals, Am J Clin Nutr, 37, 986, 10.1093/ajcn/37.6.986 · DOI · Paper page
  93. Song, 2016, Preservation methods differ in fecal microbiome stability, affecting suitability for field studies, mSystems, 1, 10.1128/mSystems.00021-16 · DOI · Paper page
  94. Voigt, 2015, Temporal and technical variability of human gut metagenomes, Genome Biol, 16, 73, 10.1186/s13059-015-0639-8 · DOI
  95. von Wintzingerode, 1997, Determination of microbial diversity in environmental samples: pitfalls of PCR-based rRNA analysis, FEMS Microbiol Rev, 21, 213, 10.1111/j.1574-6976.1997.tb00351.x · DOI · Paper page
  96. Mould, 2005, In vitro microbial inoculum: a review of its function and properties, Anim Feed Sci Technol, 123–124, 31, 10.1016/j.anifeedsci.2005.04.028 · DOI
  97. Wedekind, 1988, Enumeration and isolation of cellulolytic and hemicellulolytic bacteria from human feces, Appl Environ Microbiol, 54, 6, 10.1128/aem.54.6.1530-1535.1988 · DOI
  98. Kennedy, 2014, The impact of different DNA extraction kits and laboratories upon the assessment of human gut microbiota composition by 16S rRNA gene sequencing, PLoS One, 9, e88982, 10.1371/journal.pone.0088982 · DOI · Paper page
  99. 2017, Codex alimentarius: guidelines on nutrition labeling (CAC/GL 2–1995). [Internet], Codex alimentarius: guidelines on nutrition labeling (CAC/GL 2–1995). [Internet]
  100. 1979, Codex alimentarius: general guidelines on claims (CAC/GL 1–1979). [Internet], Codex alimentarius: general guidelines on claims (CAC/GL 1–1979). [Internet]
  101. 1938, Federal Food, Drug, and Cosmetic Act, as amended. [Internet], Federal Food, Drug, and Cosmetic Act, as amended. [Internet]
  102. 2014, Final rule: food labeling: requirement for nutrient content claims, health claims, and statements of nutritional support for dietary supplements, Fed Regist, 62, 49863
  103. 2015, Nutrition labelling. [Internet], Nutrition Labeling
  104. 2006, Regulation (EC) No 1924/2006 of the European Parliament and of the Council on nutrition and health claims made on food, Official Journal of the European Union, L404, 9
  105. 2014, Food Labeling: nutrient content claims; alpha-linolenic acid, eicosapentaenoic acid, and docosahexaenoic acid omega-3 fatty acids, Fed Regist, 79, 23262
  106. 2018, Notice of availability: the declaration of certain isolated or synthetic non-digestible carbohydrates as dietary fiber on nutrition and supplement facts labels; guidance for industry; availability, Fed Regist, 83, 27894
  107. 2016, Examples of physiological effects that are beneficial to human health. [Internet], Questions and Answers on Dietary Fiber
  108. 2017, 4.0 Physiological effects. [Internet]. Policy for labelling and advertising of dietary fibre-containing food products, 4.0 Physiological effects. [Internet]. Policy for labelling and advertising of dietary fibre-containing food products
  109. 2012, Commission Regulation (EU) No 432/2012 of 16 May 2012 establishing a list of permitted health claims made on foods, other than those referring to the reduction of disease risk and to children's development and healthText with EEA relevance, Official Journal of the European Union, L136, 1
  110. 2018, Authorized health claims that meet the significant scientific agreement (SSA) standard. [Internet], Labeling & Nutrition
  111. 2017, Health claims reviewed: accepted and not accepted. [Internet], Health claims reviewed: accepted and not accepted. [Internet]
  112. 1997, Food labeling: health claims; oats and coronary heart disease, Fed Regist, 62, 3584
  113. 2009, Accepted claims about the nature of probiotic microorganisms in food. [Internet], AEM
  114. 2009, Guidance for industry: evidence-based review system for the scientific evaluation of health claims. [Internet], Guidance for industry: evidence-based review system for the scientific evaluation of health claims. [Internet]
  115. 2015, Outcome of a public consultation on the discussion paper for the revision of the guidance on the scientific requirements for health claims related to gut and immune function, EFSA J, 12, 1
  116. 2016, Regulation of the National Agency for Drug and Food Control of the Republic of Indonesia concerning monitoring of claims on processed food label and advertising, Regulation of the National Agency for Drug and Food Control of the Republic of Indonesia concerning monitoring of claims on processed food label and advertising
  117. Tanemura, 2018, Evaluation of randomized controlled trials of foods with functional claims request: the learning outcomes from studies in Japan, J Funct Foods, 42, 248, 10.1016/j.jff.2017.12.066 · DOI
  118. 1991, Food with health claims, food for special dietary uses, and nutrition labeling. [Internet], Food with health claims, food for special dietary uses, and nutrition labeling. [Internet]
  119. 2018, Foods for specified health permission (approved) item list. [Internet], Foods for specified health permission (approved) item list. [Internet]
  120. 1998, Nutrition labelling. [Internet]. Ministry of Health, Malaysia, Nutrition labelling. [Internet]. Ministry of Health, Malaysia
  121. 2010, Guide to nutrition labelling and claims. [Internet], Guide to nutrition labelling and claims. [Internet]
  122. 2016, A guide to food labelling and advertisements. [Internet], A guide to food labelling and advertisements. [Internet]
  123. 1998, Nutrition labelling. [Internet], Nutrition labelling. [Internet]
  124. 1991, Food with health claims, food for special dietary uses, and nutrition labeling. [Internet], Food with health claims, food for special dietary uses, and nutrition labeling. [Internet]
  125. 2015, Guidance for industry: the system of “foods with function claims” has been launched! [Internet], Guidance for industry: the system of “foods with function claims” has been launched! [Internet]
  126. Wong, 2019, Beneficial effects of Bifidobacterium longum subsp. longum BB536 on human health: modulation of gut microbiome as the principal action, J Funct Foods, 54, 506, 10.1016/j.jff.2019.02.002 · DOI
  127. 2019, Draft guideline to request evaluation of probiotics for use in food. [Internet], Draft guideline to request evaluation of probiotics for use in food. [Internet]
  128. 2016, BEST (Biomarkers, EndpointS, and other Tools) resource. [Internet], BEST (Biomarkers, EndpointS, and other Tools) resource. [Internet]
  129. Robb, 2016, Biomarkers and surrogate endpoints: developing common terminology and definitions, JAMA, 315, 1107, 10.1001/jama.2016.2240 · DOI
  130. Sundin, 2017, Understanding the gut microbiota in inflammatory and functional gastrointestinal diseases. Psychosom Med, Psychosom Med, 79, 857, 10.1097/PSY.0000000000000470 · DOI
  131. Armitage, 2019, Efficacy and safety of statin therapy in older people: a meta-analysis of individual participant data from 28 randomised controlled trials, Lancet North Am Ed, 393, 407, 10.1016/S0140-6736(18)31942-1 · DOI · Paper page
  132. Cantarel, 2015, Gut microbiota in multiple sclerosis, J Investig Med, 63, 729, 10.1097/JIM.0000000000000192 · DOI · Paper page
  133. Sonnenburg, 2019, The ancestral and industrialized gut microbiota and implications for human health, Nat Rev Microbiol, 17, 383, 10.1038/s41579-019-0191-8 · DOI · Paper page

Cited by

Metadata

Authors
McBurney, M. I., Davis, C., Fraser, C. M., Schneeman, B. O., Huttenhower, C., Verbeke, K., Walter, J., & Latulippe, M. E.
Venue
The Journal of Nutrition
Publisher
Elsevier BV
Published
2019-11
Volume
149
Issue
11
Pages
1882-1895
ISSN
0022-3166 (ISSN-L)
DOI
10.1093/jn/nxz154
OpenAlex
W2966333491
Cited by
282
References
33
FWCI
9.81
Type
journal article
Language
en
Open access
hybrid
Licence
Funders
University of Guelph

About these checks

Registry, retraction, Cites and statistics results are computed, not judged, with one exception: a printed reference that no index lists is read once by a model before it counts as a citation error. Claims are extracted by a model and kept only when their quote appears verbatim in the text; each cited source is then checked, with a model’s help, for whether it says what the claim relies on. Those verdicts can be wrong — read the claim’s quote and the cited source before relying on one.

Statistics and arithmetic are recomputed, not judged.

Confidence bands are shown only for fields calibrated on our annotated test set. None is calibrated yet, so no band is shown.

What counts as a claim ›How we measure confidence ›How we check this ›

Are you an author, or do you see a problem with this page? Request a review

Data sources

Bibliographic data: Semantic Scholar, OpenAlex, Crossref.

Contains information from the Semantic Scholar Academic Graph Datasets, made available under the ODC Attribution License (ODC-BY 1.0).

Semantic Scholar’s data is described in: Kinney, R., et al. (2023). The Semantic Scholar Open Data Platform. arXiv:2301.10140.