Evidence map›Paper›PMID 28607507›Full record

ArticleThe pharmacogenomics journal2018

Urinary Lipidomics: evidence for multiple sources and sexual dimorphism in healthy individuals.

J Graessler, C S Mehnert, K-M Schulte, S Bergmann, S Strauss, T D Bornstein, J Licinio, M-L Wong, A L Birkenfeld, S R Bornstein

Abstract read
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In one paragraph

Article in The pharmacogenomics journal, 2018. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 4 papers.

0numbers the graph read from it
0cells of the map it votes in
4citing papers in PubMed
0.4field-weighted citation impact, top 37% 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

4 citing papers in PubMed, 16 citations in OpenAlex.

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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

10 authors at 4 institutions in 4 countries.

J GraesslerDepartment and Outpatient Department of Medicine III, University Hospital Carl Gustav Carus, Technische Universitaet Dresden, Dresden, Germany.
C S MehnertDepartment and Outpatient Department of Medicine III, University Hospital Carl Gustav Carus, Technische Universitaet Dresden, Dresden, Germany.
K-M SchulteDepartment of Surgery, King's College Hospital, NHS Foundation Trust, London, UK.
S BergmannInstitute of Clinical Chemistry and Laboratory Medicine, University Hospital Carl Gustav Carus, Technische Universitaet Dresden, Dresden, Germany.
S StraussDepartment and Outpatient Department of Medicine III, University Hospital Carl Gustav Carus, Technische Universitaet Dresden, Dresden, Germany.
T D BornsteinDepartment and Outpatient Department of Medicine III, University Hospital Carl Gustav Carus, Technische Universitaet Dresden, Dresden, Germany.
J LicinioMind and Brain Theme, South Australian Health and Medical Research Institute, North Terrace, Adelaide, Australia.
M-L WongMind and Brain Theme, South Australian Health and Medical Research Institute, North Terrace, Adelaide, Australia.
A L BirkenfeldDepartment and Outpatient Department of Medicine III, University Hospital Carl Gustav Carus, Technische Universitaet Dresden, Dresden, Germany.
S R BornsteinDepartment and Outpatient Department of Medicine III, University Hospital Carl Gustav Carus, Technische Universitaet Dresden, Dresden, Germany.
University Hospital Carl Gustav Carus · DEKing's College Hospital NHS Foundation Trust · GBSouth Australian Health and Medical Research Institute · AUSouth Ural State University · RU

Funding

Clinical Neuroendocrinology of LeptinK24RR016996 · NCRR · UNIVERSITY OF MIAMI SCHOOL OF MEDICINE · PI LICINIO, JULIO · 2002 to 2006
$662k
NCRR NIH HHS K24 RR016996
6 · The paper itself

Abstract

Urinary lipidomics may add new valuable biomarkers to the diagnostic armamentarium for early detection of metabolic and kidney diseases. Sources and composition of urinary lipids in healthy individuals, however, have not been investigated in detail. Shotgun lipidomics was used to quantify lipidomic profiles in native urine samples from 16 individuals (eight men, eight women) collected in five fractions over 24 h. All probands were comprehensively characterized by urinary and clinical indices. The mean total urinary lipid concentration per sample was 0.84 μM in men and 1.03 μM in women. We observed significant intra- and interindividual variations of lipid concentrations over time, but failed to detect a clear circadian pattern. Based on quantity and subclass composition it seems very unlikely that plasma serves as major source for the urinary lipidome. Considering lipid metabolites occurring in at least 20% of all samples 38 lipid species from 7 lipid classes were identified. Four phosphatidylserine and one phosphatidylethanolamine ether species (PE-O 36:5) were detectable in almost all urine samples. Sexual dimorphism has been found mainly for phosphatidylcholines and phosphatidylethanolamines. In men and in women urinary lipid species were highly correlated with urinary creatinine and albumin excretion, reflecting glomerular filtration and tubular transport processes. In women, however, lipid species deriving from urinary cells and cellular constituents of the lower genitourinary tract considerably contributed to the urinary lipidome. In conclusion, our study revealed the potential of urinary lipidomics but also the complexity of methodological challenges which have to be overcome for its implementation as a routine diagnostic tool for renal, urological and metabolic diseases.

Indexed as

Sex CharacteristicsAdultFemaleHealthy VolunteersHumansLipid MetabolismLipidsMaleMiddle AgedPhosphatidylcholinesPhosphatidylethanolaminesLipidsPhosphatidylcholinesphosphatidylethanolaminePhosphatidylethanolamines

Identifiers

PMID28607507
OpenAlexW2624718242

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.