Evidence map›Paper›PMID 32422014›Full record

ReviewCritical reviews in immunology2019

Impact of the Microbiome on the Immune System.

Christoffer B Lambring, Sohail Siraj, Krishna Patel, Umesh T Sankpal, Stephen Mathew, Riyaz Basha

Abstract readReview
In one paragraph

Review in Critical reviews in immunology, 2019. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 45 papers, 3 of them syntheses that pooled it.

0numbers the graph read from it
0cells of the map it votes in
45citing papers in PubMed, 3 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

45 citing papers in PubMed, 3 syntheses or guidelines pooled it.

  1. Pooled it
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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

6 authors.

Christoffer B LambringGraduate School of Biomedical Sciences, University of North Texas Health Science Center, Fort Worth, Texas 76107.
Sohail SirajTexas College of Osteopathic Medicine, University of North Texas Health Science Center, Fort Worth, Texas 76107.
Krishna PatelTexas College of Osteopathic Medicine, University of North Texas Health Science Center, Fort Worth, Texas 76107.
Umesh T SankpalTexas College of Osteopathic Medicine, University of North Texas Health Science Center, Fort Worth, Texas 76107.
Stephen MathewGraduate School of Biomedical Sciences, University of North Texas Health Science Center, Fort Worth, Texas 76107.
Riyaz BashaTexas College of Osteopathic Medicine, University of North Texas Health Science Center, Fort Worth, Texas 76107.

Funding

AIM-AHEAD Coordinating Center - All Four CoresOT2OD032581 · OD · UNIVERSITY OF NORTH TEXAS HLTH SCI CTR · PI Paul Avillach, Bettina M. Beech · 2021 to 2026
$168.7M
Texas Minority Health, Research and Outreach (MiHERO)S21MD012472 · NIMHD · UNIVERSITY OF NORTH TEXAS HLTH SCI CTR · PI JAMBOOR K. VISHWANATHA · 2017 to 2026
$18.0M
Texas Center for Minority Health, Education, Research and OutreachU54MD006882 · NIMHD · UNIVERSITY OF NORTH TEXAS HLTH SCI CTR · PI JONES, HARLAN PIERRE, VISHWANATHA, JAMBOOR K. · 2017 to 2022
$6.0M
Triple Negative Breast Cancer: Novel Biomarkers and Therapeutic StrategiesP20MD006882 · NIMHD · UNIVERSITY OF NORTH TEXAS HLTH SCI CTR · PI VISHWANATHA, JAMBOOR K. · 2012 to 2016
$5.8M
Promoting Diversity in Research Training for Health ProfessionalsR25HL125447 · NHLBI · UNIVERSITY OF NORTH TEXAS HLTH SCI CTR · PI RANJAN, AMALENDU PRAKASH · 2016 to 2020
$1.0M
2/2 Pilot Project 2: Langston University-UNTHSC Partnership for Cancer Research and EducationP20CA233355 · NCI · UNIVERSITY OF NORTH TEXAS HLTH SCI CTR · PI BASHA, RIYAZ · 2018 to 2021
$1.0M
2/2 Pilot Project 2: Langston University-UNTHSC Partnership for Cancer Research and EducationP20CA233391 · NCI · LANGSTON UNIVERSITY · PI QUINN, BYRON N · 2018 to 2021
$777k
NCI NIH HHS P20 CA233355NCI NIH HHS P20 CA233391NHLBI NIH HHS R25 HL125447NIH HHS OT2 OD032581NIMHD NIH HHS P20 MD006882NIMHD NIH HHS S21 MD012472NIMHD NIH HHS U54 MD006882
6 · The paper itself

Abstract

Higher organisms are all born with general immunity as well as with, increasingly, more specific immune systems. All immune mechanisms function with the intent of aiding the body in defense against infection. Internal and external factors alike have varying effects on the immune system, and the immune response is tailored specifically to each one. Accompanying the components of the human innate and adaptive immune systems are the other intermingling systems of the human body. Increasing understanding of the body's immune interactions with other systems has opened new avenues of study, including that of the microbiome. The microbiome has become a highly active area of research over the last 10 to 20 years since the NIH began funding the Human Microbiome Project (HMP), which was established in 2007. Several publications have focused on the characterization, functions, and complex interplay of the microbiome as it relates to the rest of the body. A dysfunction between the microbiome and the host has been linked to various diseases including cancers, metabolic deficiencies, autoimmune disorders, and infectious diseases. Further understanding of the microbiome and its interaction with the host in relation to diseases is needed in order to understand the implications of microbiome dysfunction and the possible use of microbiota in the prevention of disease. In this review, we have summarized information on the immune system, the microbiome, the microbiome's interplay with other systems, and the association of the immune system and the microbiome in diseases such as diabetes and colorectal cancer.

Indexed as

AnimalsAutoimmune DiseasesHost-Pathogen InteractionsHumansImmune SystemImmunityInfectionsMetabolic DiseasesMicrobiotaNeoplasms

Identifiers

PMID32422014
PMCPMC7362776

What OpenQuestion holds

Textmetadata
LicenceTDM
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.