Evidence map›Paper›PMID 35494758›Full record

ArticleRSC advances2021

Investigation of the individual human sulfatome in plasma and urine samples reveals an age-dependency.

Mário S P Correia, Bhawana Thapa, Miroslav Vujasinovic, J-Matthias Löhr, Daniel Globisch

Open access · goldAbstract read
In one paragraph

Article in RSC advances, 2021. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 3 papers.

0numbers the graph read from it
0cells of the map it votes in
3citing papers in PubMed
0.4field-weighted citation impact, top 40% 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

3 citing papers in PubMed, 6 citations in OpenAlex.

  1. Article
  2. 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 at 2 institutions in 1 country.

Mário S P CorreiaDepartment of Chemistry - BMC, Science for Life Laboratory, Uppsala University Box 599 SE-75124 Uppsala Sweden Daniel.globisch@scilifelab.uu.se.ORCID https://orcid.org/0000-0003-2125-4184
Bhawana ThapaDepartment of Chemistry - BMC, Science for Life Laboratory, Uppsala University Box 599 SE-75124 Uppsala Sweden Daniel.globisch@scilifelab.uu.se.
Miroslav VujasinovicDepartment for Digestive Diseases, Karolinska University Hospital Stockholm Sweden.
J-Matthias LöhrDepartment for Digestive Diseases, Karolinska University Hospital Stockholm Sweden.
Daniel GlobischDepartment of Chemistry - BMC, Science for Life Laboratory, Uppsala University Box 599 SE-75124 Uppsala Sweden Daniel.globisch@scilifelab.uu.se.ORCID https://orcid.org/0000-0002-4526-5788
Uppsala University · SEKarolinska University Hospital · SE

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Metabolic microbiome interaction with the human host has been linked to human physiology and disease development. The elucidation of this interspecies metabolite exchange will lead to identification of beneficial metabolites and disease modulators. Their discovery and quantitative analysis requires the development of specific tools and analysis of specific compound classes. Sulfated metabolites are considered a readout for the co-metabolism of the microbiome and their host. This compound class is part of the human phase II clearance process of xenobiotics and is the main focus in drug or doping metabolism and also includes dietary components and microbiome-derived compounds. Here, we report the targeted analysis of sulfated metabolites in plasma and urine samples in the same individuals to identify the core sulfatome and similarities between these two sample types. This analysis of 27 individuals led to the identification of the core sulfatome of 41 metabolites in plasma and urine samples as well as an age effect for 15 metabolites in both sample types.

Identifiers

PMID35494758
PMCPMC9042682
OpenAlexW3209357469

What OpenQuestion holds

Textmetadata
LicenceCC BY-NC
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.