Evidence map›Paper›PMID 35429105›Full record

ArticleJournal of applied microbiology2022

Genetic sequence data evidence that human faecal-associated HF183 sequences are on human skin and in urine.

Dong Li, Laurie C Van De Werfhorst, Patricia A Holden

Abstract readEditorial
In one paragraph

Article in Journal of applied microbiology, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 1 paper.

0numbers the graph read from it
0cells of the map it votes in
1citing 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

1 citing paper in PubMed.

  1. 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

3 authors.

Dong LiBren School of Environmental Science & Management, University of California, Santa Barbara, USA.ORCID https://orcid.org/0000-0001-9990-7742
Laurie C Van De WerfhorstBren School of Environmental Science & Management, University of California, Santa Barbara, USA.
Patricia A HoldenBren School of Environmental Science & Management, University of California, Santa Barbara, USA.

Funding

Mr. Henry (Sam) Wheelerthe State of California Clean Beach Initiative Proposition 84
6 · The paper itself

Abstract

aimsThe DNA marker HF183 is a partial 16S rRNA gene sequence highly specific to human-associated Bacteroides including Bacteroides dorei. While HF183 is used to assess human faecal contamination in aquatic environments worldwide, little is known about the existence of HF183 and B. dorei in human microbiomes outside of the human gastrointestinal tract and faeces. METHODS AND

resultsPreviously published human skin and urine microbiome data sets from five independent human body skin studies, the Human Microbiome Project (HMP) and three independent human urine studies were analysed. The HF183 gene sequence was detected in all skin data sets, with the ratios of positive samples ranging from 0.5% to 36.3%. Popliteal fossa (knee), volar forearm and inguinal (groin) creases were identified as hot spots. HF183 was detected in two of three urine data sets, with ratios of positive samples ranging from 0% to 37.5%. All HF183-containing sequences from these data sets were classified as associated with B. dorei.

conclusionsHF183 is widespread on human skin and present in urine. SIGNIFICANCE AND IMPACT OF STUDY: Skin and urine microbiomes could be sources of HF183 to environmental waters. Such non-faecal sources of HF183 might explain low concentrations of HF183 in recreational waters when swimmers are present.

Indexed as

SewageWater MicrobiologyEnvironmental MonitoringFecesGenetic MarkersHumansPolymerase Chain ReactionRNA, Ribosomal, 16SGenetic MarkersRNA, Ribosomal, 16SSewageBacteroides doreiHF183human faecal contaminationhuman microbiomesskinurine

Identifiers

PMID35429105
PMCPMC9544380

What OpenQuestion holds

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Registered trials

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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.