Evidence map›Paper›PMID 33945611›Full record

ReviewJournal of industrial microbiology & biotechnology2021

Small molecule natural products in human nasal/oral microbiota.

Colin Charles Barber, Wenjun Zhang

Open access · goldAbstract readReview
In one paragraph

Review in Journal of industrial microbiology & biotechnology, 2021. 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
2.2field-weighted citation impact, top 13% 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, 22 citations in OpenAlex.

  1. Article
  2. Synergistic action of specialized metabolites from divergent biosynthesis in the human oral microbiome.Proceedings of the National Academy of Sciences of the United States of America · 2025
    Article
  3. Review
  4. Article
  5. Article
  6. Article
  7. Review
  8. Review
  9. Article
  10. Forgotten fungi: the importance of the skin mycobiome.Current opinion in microbiology · 2022
    Review
  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 2 institutions in 1 country.

Colin Charles BarberDepartment of Plant and Microbial Biology, University of California, Berkeley, Berkeley 94720, USA.ORCID 0000-0002-8887-6896
Wenjun ZhangDepartment of Chemical and Biomolecular Engineering, University of California, Berkeley, Berkeley 94720, USA.ORCID 0000-0001-9348-972X
Chan Zuckerberg Initiative (United States) · USUniversity of California, Berkeley · US

Funding

In Situ Natural Product Labeling and ApplicationsDP2AT009148 · NCCIH · UNIVERSITY OF CALIFORNIA BERKELEY · PI ZHANG, WENJUN · 2015 to 2020
$2.8M
NCCIH NIH HHS DP2 AT009148
6 · The paper itself

Abstract

Small molecule natural products are a chemically diverse class of biomolecules that fulfill myriad biological functions, including autoregulation, communication with microbial neighbors and the host, interference competition, nutrient acquisition, and resistance to oxidative stress. Human commensal bacteria are increasingly recognized as a potential source of new natural products, which may provide insight into the molecular ecology of many different human body sites as well as novel scaffolds for therapeutic development. Here, we review the scientific literature on natural products derived from residents of the human nasal/oral cavity, discuss their discovery, biosynthesis, and ecological roles, and identify key questions in the study of these compounds.

Indexed as

MicrobiotaAnimalsBiological ProductsHumansMouthNoseBiological ProductsBiosynthesisHuman microbiomeOral biologySecondary metabolites

Identifiers

PMID33945611
PMCPMC8210680
OpenAlexW3128484467

What OpenQuestion holds

Textmetadata
LicenceCC BY
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.