Evidence map›Paper›PMID 37299414›Full record

ArticleNutrients2023

Methods in Nutrition & Gut Microbiome Research: An American Society for Nutrition Satellite Session [13 October 2022].

Riley L Hughes, Cara L Frankenfeld, Daryl M Gohl, Curtis Huttenhower, Scott A Jackson, Doris Vandeputte, Emily Vogtmann, Sarah S Comstock, Mary E Kable

Abstract readConference Proceedings
In one paragraph

Article in Nutrients, 2023. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 2 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
2citing papers in PubMed, 1 pooled it
–field-weighted citation impact
1 · What the graph read from it

What it found

Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.

The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.

2 · The registry

The trial behind it

Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.

Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.

3 · Its place in the literature

Who cites it

2 citing papers in PubMed, 1 synthesis or guideline pooled it.

  1. Pooled it
  2. Review
4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

9 authors.

Riley L HughesIndependent Researcher, Seattle, WA 98115, USA.
Cara L FrankenfeldPublic Health Program, University of Puget Sound, Tacoma, WA 98416, USA.ORCID 0000-0002-2318-0791
Daryl M GohlUniversity of Minnesota Genomics Center, Minneapolis, MN 55455, USA.
Curtis HuttenhowerDepartment of Biostatistics and Immunology and Infectious Diseases, Harvard T.H. Chan School of Public Health, Boston, MA 02115, USA.
Scott A JacksonComplex Microbial Systems Group, Biosystems and Biomaterials Division, National Institute of Standards and Technology, Gaithersburg, MD 20899, USA.
Doris VandeputteMeinig School of Biomedical Engineering, Cornell University, Ithaca, NY 14850, USA.ORCID 0000-0003-3019-5585
Emily VogtmannMetabolic Epidemiology Branch, Division of Cancer Epidemiology & Genetics, National Cancer Institute, National Institutes of Health, Bethesda, MD 20892, USA.
Sarah S ComstockDepartment of Food Science and Human Nutrition, Michigan State University, East Lansing, MI 48824, USA.ORCID 0000-0003-3107-7652
Mary E KableUSDA-ARS Western Human Nutrition Research Center, University of California-Davis, Davis, CA 95616, USA.ORCID 0000-0002-5485-6539

Funding

Lower Gastrointestinal Cancer StudiesZIACP010198 · NCI · DIVISION OF CANCER EPIDEMIOLOGY AND GENETICS · PI SINHA, RASHMI · 2009 to 2025
$6.6M
Institute for the Advancement of Food and Nutrition Sciences IAFNS-HUGESRILEY-20221026
6 · The paper itself

Abstract

The microbial cells colonizing the human body form an ecosystem that is integral to the regulation and maintenance of human health. Elucidation of specific associations between the human microbiome and health outcomes is facilitating the development of microbiome-targeted recommendations and treatments (e.g., fecal microbiota transplant; pre-, pro-, and post-biotics) to help prevent and treat disease. However, the potential of such recommendations and treatments to improve human health has yet to be fully realized. Technological advances have led to the development and proliferation of a wide range of tools and methods to collect, store, sequence, and analyze microbiome samples. However, differences in methodology at each step in these analytic processes can lead to variability in results due to the unique biases and limitations of each component. This technical variability hampers the detection and validation of associations with small to medium effect sizes. Therefore, the American Society for Nutrition (ASN) Nutritional Microbiology Group Engaging Members (GEM), sponsored by the Institute for the Advancement of Food and Nutrition Sciences (IAFNS), hosted a satellite session on methods in nutrition and gut microbiome research to review currently available methods for microbiome research, best practices, as well as tools and standards to aid in comparability of methods and results. This manuscript summarizes the topics and research discussed at the session. Consideration of the guidelines and principles reviewed in this session will increase the accuracy, precision, and comparability of microbiome research and ultimately the understanding of the associations between the human microbiome and health.

Indexed as

Gastrointestinal MicrobiomeMicrobiotaNutrition TherapyHumansNutritional StatusResearchbioinformaticsmethodsmicrobiotanutritionsample collectionsequencing

Identifiers

PMID37299414
PMCPMC10255073

What OpenQuestion holds

Textmetadata
LicenceCC BY
Read underepoch 390

Registered trials

None linked

Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.