Evidence map›Paper›PMID 29638163›Full record

ReviewDNA and cell biology2018

Mining the Virome for Insights into Type 1 Diabetes.

Arnold Park, Guoyan Zhao

Abstract readReview
In one paragraph

Review in DNA and cell biology, 2018. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 8 papers.

0numbers the graph read from it
0cells of the map it votes in
8citing papers in PubMed
–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

8 citing papers in PubMed.

  1. Review
  2. Review
  3. Review
  4. Review
  5. Review
  6. Review
  7. Observational
  8. 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

2 authors.

Arnold ParkDepartment of Pathology and Immunology, Washington University School of Medicine , St. Louis, Missouri.
Guoyan ZhaoDepartment of Pathology and Immunology, Washington University School of Medicine , St. Louis, Missouri.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Type 1 diabetes (T1D) is characterized by the autoimmune destruction of insulin-producing pancreatic beta cells. Although environmental factors interplay with genetic susceptibility to promote immune dysregulation and disease, it remains unclear as to which potential environmental factors are causative and not simply correlative. Despite many hints that the microbiome can have a profound effect on T1D, significant changes in bacterial gut flora and diversity appear to emerge only after the detection of early signs of T1D. Surprisingly, we recently found significant differences in the gut virome preceding the initial signs of T1D, raising the tantalizing possibility that the state of the virome may influence or predict whether susceptible individuals progress on the path to disease. The challenge will be to discern whether there is likely a causative relationship between detected virome differences and T1D.

Indexed as

AnimalsDiabetes Mellitus, Type 1EnterovirusGastrointestinal MicrobiomeGastrointestinal TractHumansImmunity, InnateVirusesVirus Physiological PhenomenabacteriophagesCRESS DNA virusmicrobiometype 1 diabetesvirome

Identifiers

PMID29638163
PMCPMC5944395

What OpenQuestion holds

Textmetadata
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.