Evidence map›Paper›PMID 31813465›Full record

ReviewThe American journal of the medical sciences2019

Evolutionary Medicine of Retroviruses in the Human Genome.

Yukako Katsura, Satoshi Asai

Open access · bronzeAbstract readReview
In one paragraph

Review in The American journal of the medical sciences, 2019. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 11 papers.

0numbers the graph read from it
0cells of the map it votes in
11citing papers in PubMed
4.1field-weighted citation impact, top 7% 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

11 citing papers in PubMed, 19 citations in OpenAlex.

  1. Review
  2. Review
  3. Review
  4. Article
  5. Review
  6. Leftovers of viruses in human physiology.Brain structure & function · 2021
    Review
  7. Dietary Influences on the Microbiota-Gut-Brain Axis.International journal of molecular sciences · 2021
    Review
  8. Article
  9. Article
  10. Article
  11. Article
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.

Yukako KatsuraDivision of Pharmacology, Department of Biomedical Sciences, Nihon University School of Medicine, Tokyo, Japan. Electronic address: katsura.yukako.5e@kyoto-u.ac.jp.
Satoshi AsaiDivision of Pharmacology, Department of Biomedical Sciences, Nihon University School of Medicine, Tokyo, Japan.
Nihon University · JP

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Humans are infected with many viruses, and the immune system mostly removes viruses and the infected cells. However, certain viruses have entered the human genome. Of the human genome, ∼45% is composed of transposable elements (long interspersed nuclear elements [LINEs], short interspersed nuclear elements [SINEs] and transposons) and 5-8% is derived from viral sequences with similarity to infectious retroviruses. If integration of retrovirus occurs in a germline, the integrated viral sequences are heritable. Accumulation of viral sequences has created the current human genome. This article summarizes recent studies of retroviruses in humans and bridges clinical fields and evolutionary genetics. First, we report the repertories of human-infective retroviruses. Second, we review endogenous retroviruses in the human genome and diseases associated with endogenous retroviruses. Third, we discuss the biological functions of endogenous retroviruses and propose the concept of accelerated human evolution via viruses. Finally, we present perspectives of virology in the field of evolutionary medicine.

Indexed as

Evolution, MolecularGenome, HumanEndogenous RetrovirusesHumansDiseaseEvolutionary medicineHuman endogenous retrovirusHuman genomeRetrovirus

Identifiers

PMID31813465
PMCPMC7093845
OpenAlexW2977667859

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.