Evidence map›Paper›PMID 34278270›Full record

ArticleiScience2021

Spatially resolved sampling for untargeted metabolomics: A new tool for salivomics.

Alessio Ciurli, Maximiliam Liebl, Rico J E Derks, Jacques J C Neefjes, Martin Giera

Abstract read
In one paragraph

Article in iScience, 2021. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 9 papers.

0numbers the graph read from it
0cells of the map it votes in
9citing 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

9 citing papers in PubMed.

  1. Article
  2. Article
  3. Review
  4. Article
  5. ReducingAnalytical chemistry · 2023
    Article
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  7. Article
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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.

Alessio CiurliOncode Institute and Department of Cell and Chemical Biology, Leiden University Medical Center, Leiden 2333 ZA, the Netherlands.
Maximiliam LieblCenter for Proteomics and Metabolomics, Leiden University Medical Center, Leiden 2333 ZA, the Netherlands.
Rico J E DerksCenter for Proteomics and Metabolomics, Leiden University Medical Center, Leiden 2333 ZA, the Netherlands.
Jacques J C NeefjesOncode Institute and Department of Cell and Chemical Biology, Leiden University Medical Center, Leiden 2333 ZA, the Netherlands.
Martin GieraCenter for Proteomics and Metabolomics, Leiden University Medical Center, Leiden 2333 ZA, the Netherlands.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Saliva is a complex bodily fluid composed of metabolites secreted by major and minor glands, as well as by-products of host oral cells, oral bacteria, gingival crevicular fluid, and exogenous compounds. Major salivary glands include the paired parotid, submandibular, and sublingual glands. The secreted fluids of the salivary glands vary in composition, flow rate, site of release, and clearance suggesting that different types of saliva fulfill different functions and therefore can provide unique biological information. Consequently, for the comprehension of the functionality of the salivary components, spatially resolved investigations are warranted. To understand and comprehensively map the highly heterogeneous environment of the oral cavity, advanced spatial sampling techniques for metabolomics analysis are needed. Here, we present a systematic evaluation of collection devices for spatially resolved sampling aimed at untargeted metabolomics and propose a comprehensive and reproducible collection and analysis protocol for the spatially resolved analysis of the human oral metabolome.

Indexed as

Liquid chromatography and tandem mass spectrometrySalivaSalivomicsSpatially resolved samplingUntargeted metabolomics

Identifiers

PMID34278270
PMCPMC8271151

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.