Evidence map›Paper›PMID 30705670›Full record

ArticleFrontiers in microbiology2018

Multi-Method Characterization of the Human Circulating Microbiome.

Emma Whittle, Martin O Leonard, Rebecca Harrison, Timothy W Gant, Daniel Paul Tonge

Abstract read
In one paragraph

Article in Frontiers in microbiology, 2018. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 106 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
106citing 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

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

  1. Pooled it
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  14. Pathological Alterations in Human Blood Microbiome-An Updated Review.International journal of molecular sciences · 2025
    Review
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  16. Article
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  18. Differences in cell-associated and cell-free microbial DNA in blood.bioRxiv : the preprint server for biology · 2025
    Article
  19. Review
  20. Article

46 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.

Emma WhittleSchool of Life Sciences, Faculty of Natural Sciences, Keele University, Keele, United Kingdom.
Martin O LeonardCentre for Radiation, Chemical and Environmental Hazards, Public Health England, Chilton, United Kingdom.
Rebecca HarrisonSchool of Life Sciences, Faculty of Natural Sciences, Keele University, Keele, United Kingdom.
Timothy W GantCentre for Radiation, Chemical and Environmental Hazards, Public Health England, Chilton, United Kingdom.
Daniel Paul TongeSchool of Life Sciences, Faculty of Natural Sciences, Keele University, Keele, United Kingdom.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

The term microbiome describes the genetic material encoding the various microbial populations that inhabit our body. Whilst colonization of various body niches (e.g., the gut) by dynamic communities of microorganisms is now universally accepted, the existence of microbial populations in other "classically sterile" locations, including the blood, is a relatively new concept. The presence of bacteria-specific DNA in the blood has been reported in the literature for some time, yet the true origin of this is still the subject of much deliberation. The aim of this study was to investigate the phenomenon of a "blood microbiome" by providing a comprehensive description of bacterially derived nucleic acids using a range of complementary molecular and classical microbiological techniques. For this purpose we utilized a set of plasma samples from healthy subjects (

Indexed as

biomarker (development)blood microbiomehumannext gen sequencing (NGS)unmapped reads

Identifiers

PMID30705670
PMCPMC6345098

What OpenQuestion holds

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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.