Evidence map›Paper›PMID 29675450›Full record

ReviewCellular and molecular gastroenterology and hepatology2018

Engineered Human Gastrointestinal Cultures to Study the Microbiome and Infectious Diseases.

Sarah E Blutt, Sue E Crawford, Sasirekha Ramani, Winnie Y Zou, Mary K Estes

Open access · goldAbstract readReview
In one paragraph

Review in Cellular and molecular gastroenterology and hepatology, 2018. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 56 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
56citing papers in PubMed, 1 pooled it
4.5field-weighted citation impact, top 4% of its field
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

56 citing papers in PubMed, 1 synthesis or guideline pooled it, 88 citations in OpenAlex.

  1. Pooled it
  2. Review
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  5. Review
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  12. Article
  13. ExploringFrontiers in cellular and infection microbiology · 2023
    Review
  14. Article
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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

5 authors at 1 institution in 1 country.

Sarah E BluttDepartment of Molecular Virology and Microbiology, Baylor College of Medicine, Houston, Texas.
Sue E CrawfordDepartment of Molecular Virology and Microbiology, Baylor College of Medicine, Houston, Texas.
Sasirekha RamaniDepartment of Molecular Virology and Microbiology, Baylor College of Medicine, Houston, Texas.
Winnie Y ZouDepartment of Molecular Virology and Microbiology, Baylor College of Medicine, Houston, Texas.
Mary K EstesDepartment of Molecular Virology and Microbiology, Baylor College of Medicine, Houston, Texas.
Baylor College of Medicine · US

Funding

Institutional Clinical and Translational Science AwardUL1TR000003 · NCATS · UNIVERSITY OF PENNSYLVANIA · PI FITZGERALD, GARRET A · 2012 to 2015
$38.9M
Tissue Analysis & Molecular Imaging CoreP30DK056338 · NIDDK · BAYLOR COLLEGE OF MEDICINE · PI Geoffrey A Preidis · 2001 to 2026
$28.3M
Novel Platforms for Human Intestinal Enteroids: Matrix, Mechanics, and TopographyU19AI116497 · NIAID · BAYLOR COLLEGE OF MEDICINE · PI ESTES, MARY KOLB, MARESSO, ANTHONY W · 2015 to 2025
$13.2M
Regulation of Rotavirus ReplicationR01AI080656 · NIAID · BAYLOR COLLEGE OF MEDICINE · PI Sue Ellen Crawford, Mary Kolb Estes · 2009 to 2026
$7.9M
Intestinal Stem Cell Consortium Coordinating CenterU01DK085532 · NIDDK · BECKMAN RESEARCH INSTITUTE/CITY OF HOPE · PI NILAND, JOYCE CAROL · 2009 to 2018
$6.5M
Intestinal Stem Cell Response to InfectionU01DK103168 · NIDDK · BAYLOR COLLEGE OF MEDICINE · PI ESTES, MARY KOLB · 2014 to 2023
$4.2M
Limited Competition for the Continuation of the Intestinal Stem Cell Consortium Coordinating CenterU24DK085532 · NIDDK · BECKMAN RESEARCH INSTITUTE/CITY OF HOPE · PI NILAND, JOYCE CAROL · 2019 to 2023
$2.3M
Human Intestinal Organoids: Pre-Clinical Models of Non-Inflammatory DiarrheaU18TR000552 · NCATS · JOHNS HOPKINS UNIVERSITY · PI DONOWITZ, MARK · 2012 to 2014
$1.2M
NCATS NIH HHS U18 TR000552NCATS NIH HHS UL1 TR000003NIAID NIH HHS R01 AI080656NIAID NIH HHS U19 AI116497NIDDK NIH HHS P30 DK056338NIDDK NIH HHS U01 DK085532NIDDK NIH HHS U01 DK103168NIDDK NIH HHS U24 DK085532
6 · The paper itself

Abstract

New models to study the intestine are key to understanding intestinal diseases and developing novel treatments. Intestinal organ-like culture systems (organoids and enteroids) have substantially advanced the study of the human gastrointestinal tract. Stem cell-derived cultures produce self-organizing structures that contain the multiple differentiated intestinal epithelial cell types including enterocytes, goblet, Paneth, and enteroendocrine cells. Understanding host-microbial interactions is one area in which these cultures are expediting major advancements. This review discusses how organoid and enteroid cultures are biologically and physiologically relevant systems to investigate the effects of commensal organisms and study the pathogenesis of human infectious diseases. These cultures can be established from many donors and they retain the genetic and biologic properties of the donors, which can lead to the discovery of host-specific factors that affect susceptibility to infection and result in personalized approaches to treat individuals. The continued development of these cultures to incorporate more facets of the gastrointestinal tract, including neurons, immune cells, and the microbiome, will unravel new mechanisms regulating host-microbial interactions with the long-term goal of translating findings into novel preventive or therapeutic treatments for gastrointestinal infections.

Indexed as

3D, three-dimensionalEnteroidsHBGA, histo-blood group antigenHost-Microbial InteractionsIFN, interferonIL, interleukinInfectionsMicrobiomeOrganoids

Identifiers

PMID29675450
PMCPMC5904028
OpenAlexW2775672486

What OpenQuestion holds

Textmetadata
LicenceCC BY-NC-ND
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.