Evidence map›Paper›PMID 29202942›Full record

ReviewMayo Clinic proceedings2017

Microbiome at the Frontier of Personalized Medicine.

Purna C Kashyap, Nicholas Chia, Heidi Nelson, Eran Segal, Eran Elinav

Abstract readReview
In one paragraph

Review in Mayo Clinic proceedings, 2017. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 115 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
115citing 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

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

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55 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

5 authors.

Purna C KashyapEnteric Neuroscience Program, Department of Gastroenterology and Hepatology, Mayo Clinic, Rochester, MN. Electronic address: kashyap.purna@mayo.edu.
Nicholas ChiaDepartment of Surgery, Mayo Clinic, Rochester, MN.
Heidi NelsonDepartment of Surgery, Mayo Clinic, Rochester, MN.
Eran SegalDepartment of Computer Science, Weizmann Institute of Science, Rehovot, Israel.
Eran ElinavDepartment of Immunology, Weizmann Institute of Science, Rehovot, Israel.

Funding

Mechanisms of alteration of GI physiology by gut microbesR01DK114007 · NIDDK · MAYO CLINIC ROCHESTER · PI Purna C Kashyap · 2017 to 2026
$4.7M
Microbial Metabolic Toxicity Drives Colon CancerR01CA179243 · NCI · MAYO CLINIC ROCHESTER · PI CHIA, NICHOLAS · 2014 to 2018
$2.0M
MECHANISMS OF ALTERATION OF GASTROINTESTINAL MOTILITY BY GUT MICROBIOTAK08DK100638 · NIDDK · MAYO CLINIC ROCHESTER · PI KASHYAP, PURNA C · 2014 to 2017
$610k
Mechanisms of alteration of gastrointestinal physiology by gut microbesR03DK111850 · NIDDK · MAYO CLINIC ROCHESTER · PI KASHYAP, PURNA C · 2017 to 2018
$159k
NCI NIH HHS R01 CA179243NIDDK NIH HHS K08 DK100638NIDDK NIH HHS R01 DK114007NIDDK NIH HHS R03 DK111850
6 · The paper itself

Abstract

The genomic revolution promises to transform our approach to treat patients by individualizing treatments, reducing adverse events, and decreasing health care costs. The early advances using this have been realized primarily by optimizing preventive and therapeutic approaches in cancer using human genome sequencing. The ability to characterize the microbiome, which includes all the microbes that reside within and upon us and all their genetic elements, using next-generation sequencing allows us to now incorporate this important contributor to human disease into developing new preventive and therapeutic strategies. In this review we highlight the importance of the microbiome in all aspects of human disease, including pathogenesis, phenotype, prognosis, and response to treatment, as well as their role as diagnostic and therapeutic biomarkers. We provide a role for next-generation sequencing in both precise microbial identification of infectious diseases and characterization of microbial communities and their function. Taken together, the microbiome is emerging as an integral part of precision medicine approach as it not only contributes to interindividual variability in all aspects of a disease but also represents a potentially modifiable factor that is amenable to targeting by therapeutics.

Indexed as

Precision MedicineGastrointestinal MicrobiomeGastrointestinal TractGenome, HumanHumansPrognosis

Identifiers

PMID29202942
PMCPMC5730337

What OpenQuestion holds

Textmetadata
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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.