Evidence map›Paper›PMID 27585440›Full record

ArticleBMC systems biology2016

Towards understanding brain-gut-microbiome connections in Alzheimer's disease.

Rong Xu, QuanQiu Wang

Open access · diamondAbstract read
In one paragraph

Article in BMC systems biology, 2016. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 96 papers, 2 of them syntheses that pooled it.

0numbers the graph read from it
0cells of the map it votes in
96citing papers in PubMed, 2 pooled it
7.1field-weighted citation impact, top 2% 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

96 citing papers in PubMed, 2 syntheses or guidelines pooled it, 173 citations in OpenAlex.

  1. Pooled it
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  17. Thinking outside the brain: Gut microbiome influence on innate immunity within neurodegenerative disease.Neurotherapeutics : the journal of the American Society for Experimental NeuroTherapeutics · 2024
    Review
  18. Gut microbial metabolism in Alzheimer's disease and related dementias.Neurotherapeutics : the journal of the American Society for Experimental NeuroTherapeutics · 2024
    Review
  19. Exploring the effect of gut microbiome on Alzheimer's disease.Biochemistry and biophysics reports · 2024
    Review
  20. Review

36 more citing papers are in PubMed but not listed here.

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

2 authors at 1 institution in 1 country.

Rong XuDepartment of Epidemiology and Biostatistics, Institute of Computational Biology, School of Medicine, Case Western Reserve University, 2103 Cornell Road, Cleveland, 44106, USA. rxx@case.edu.
QuanQiu WangThinTek LLC, Palo Alto, 94306, USA.
Cornell University · US

Funding

CTSA INFRASTRUCTURE FOR PEDIATRIC RESEARCHUL1RR024989 · NCRR · CASE WESTERN RESERVE UNIVERSITY · PI DAVIS, PAMELA B · 2007 to 2011
$53.7M
Clinical and Translational Science Collaborative of ClevelandUL1TR000439 · NCATS · CASE WESTERN RESERVE UNIVERSITY · PI KONSTAN, MICHAEL W. · 2012 to 2016
$50.0M
TRAINING IN COMPUTATIONAL GENOMIC EPIDEMIOLOGY OF CANCERR25CA094186 · NCI · CASE WESTERN RESERVE UNIVERSITY · PI LI, LI · 2002 to 2016
$6.8M
MECHANISMS OF EXPERIMENTAL CROHNS DISEASER01DK055812 · NIDDK · UNIVERSITY OF VIRGINIA CHARLOTTESVILLE · PI COMINELLI, FABIO · 1999 to 2019
$4.9M
Combine computational prediction, network analysis and genetic screening in C elegans to uncover neurodegenerative causes in Alzheimer's DiseaseR01AG061388 · NIA · CASE WESTERN RESERVE UNIVERSITY · PI CHEN, SHU G., XU, RONG · 2018 to 2022
$3.4M
An Integrated Reverse Engineering Approach Toward Rapid drug Re positioning for Alzheimer's DiseaseR01AG057557 · NIA · CASE WESTERN RESERVE UNIVERSITY · PI XU, RONG · 2017 to 2021
$2.8M
Rapid reverse translational drug repositioningDP2HD084068 · NICHD · CASE WESTERN RESERVE UNIVERSITY · PI XU, RONG · 2014 to 2014
$2.4M
Construct large-scale phenomes of disease and drugs and develop data-driven systems approaches to understand genetic links between Alzheimer's disease and Neuropsychiatric symptomsR56AG062272 · NIA · CASE WESTERN RESERVE UNIVERSITY · PI XU, RONG · 2018 to 2019
$1.6M
NCATS NIH HHS UL1 TR000439NCI NIH HHS R25 CA094186NCRR NIH HHS UL1 RR024989NIA NIH HHS R01 AG057557NIA NIH HHS R01 AG061388NIA NIH HHS R56 AG062272NICHD NIH HHS DP2 HD084068NIDDK NIH HHS R01 DK055812
6 · The paper itself

Abstract

backgroundAlzheimer's disease (AD) is complex, with genetic, epigenetic, and environmental factors contributing to disease susceptibility and progression. While significant progress has been made in understanding genetic, molecular, behavioral, and neurological aspects of AD, relatively little is known about which environmental factors are important in AD etiology and how they interact with genetic factors in the development of AD. Here, we propose a data-driven, hypotheses-free computational approach to characterize which and how human gut microbial metabolites, an important modifiable environmental factor, may contribute to various aspects of AD. MATERIALS AND

methodsWe integrated vast amounts of complex and heterogeneous biomedical data, including disease genetics, chemical genetics, human microbial metabolites, protein-protein interactions, and genetic pathways. We developed a novel network-based approach to model the genetic interactions between all human microbial metabolites and genetic diseases. We identified metabolites that share significant genetic commonality with AD in humans. We developed signal prioritization algorithms to identify the co-regulated genetic pathways underlying the identified AD-metabolite (brain-gut) connections.

resultsWe validated our algorithms using known microbial metabolite-AD associations, namely AD-3,4-dihydroxybenzeneacetic acid, AD-mannitol, and AD-succinic acid. Our study provides supporting evidence that human gut microbial metabolites may be an important mechanistic link between environmental exposure and various aspects of AD. We identified metabolites that are significantly associated with various aspects in AD, including AD susceptibility, cognitive decline, biomarkers, age of onset, and the onset of AD. We identified common genetic pathways underlying AD biomarkers and its top one ranked metabolite trimethylamine N-oxide (TMAO), a gut microbial metabolite of dietary meat and fat. These coregulated pathways between TMAO-AD may provide insights into the mechanisms of how dietary meat and fat contribute to AD.

conclusionsEmploying an integrated computational approach, we provide intriguing and supporting evidence for a role of microbial metabolites, an important modifiable environmental factor, in AD etiology. Our study provides the foundations for subsequent hypothesis-driven biological and clinical studies of brain-gut-environment interactions in AD.

Indexed as

Gastrointestinal MicrobiomeAlzheimer DiseaseBrainComputational BiologyGenome-Wide Association StudyHumansMethylaminesMethylaminestrimethyloxamineAlzheimer’s diseaseDisease etiologyHuman gut micriobiomeNetwork medicineSystems biology

Identifiers

PMID27585440
PMCPMC5009560
OpenAlexW2508485654

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.