Evidence map›Paper›PMID 31323792›Full record

ReviewViruses2019

Human Virome and Disease: High-Throughput Sequencing for Virus Discovery, Identification of Phage-Bacteria Dysbiosis and Development of Therapeutic Approaches with Emphasis on the Human Gut.

Tasha M Santiago-Rodriguez, Emily B Hollister

Abstract readReview
In one paragraph

Review in Viruses, 2019. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 88 papers.

0numbers the graph read from it
0cells of the map it votes in
88citing 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

88 citing papers in PubMed.

  1. Article
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  12. Article
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  14. Recent Advances and Mechanisms of Phage-Based Therapies in Cancer Treatment.International journal of molecular sciences · 2024
    Review
  15. Article
  16. Article
  17. Infection and the microbiome in bronchiectasis.European respiratory review : an official journal of the European Respiratory Society · 2024
    Review
  18. Review
  19. Article
  20. Article

28 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.

Tasha M Santiago-RodriguezDiversigen Inc., 2450 Holcombe Blvd, Suite BCMA, 77021 Houston, TX, USA. trodriguez@diversigen.com.ORCID 0000-0003-2738-9784
Emily B HollisterDiversigen Inc., 2450 Holcombe Blvd, Suite BCMA, 77021 Houston, TX, USA. ehollister@diversigen.com.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

The virome is comprised of endogenous retroviruses, eukaryotic viruses, and bacteriophages and is increasingly being recognized as an essential part of the human microbiome. The human virome is associated with Type-1 diabetes (T1D), Type-2 diabetes (T2D), Inflammatory Bowel Disease (IBD), Human Immunodeficiency Virus (HIV) infection, and cancer. Increasing evidence also supports trans-kingdom interactions of viruses with bacteria, small eukaryotes and host in disease progression. The present review focuses on virus ecology and biology and how this translates mostly to human gut virome research. Current challenges in the field and how the development of bioinformatic tools and controls are aiding to overcome some of these challenges are also discussed. Finally, the present review also focuses on how human gut virome research could result in translational and clinical studies that may facilitate the development of therapeutic approaches.

Indexed as

Disease SusceptibilityHost-Pathogen InteractionsMicrobiotaVirusesAdaptation, BiologicalAnimalsBacteriaBacteriolysisBacteriophagesDysbiosisGastrointestinal MicrobiomeHigh-Throughput Nucleotide SequencingHumansMetagenomicsMicrobial Interactionsmicrobiomephage therapyviral mock communitiesvirome

Identifiers

PMID31323792
PMCPMC6669467

What OpenQuestion holds

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LicenceCC BY
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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.