Evidence map›Paper›PMID 30089834›Full record

ArticleScientific reports2018

Sex-associated differences in baseline urinary metabolites of healthy adults.

Sili Fan, Austin Yeon, Muhammad Shahid, Jennifer T Anger, Karyn S Eilber, Oliver Fiehn, Jayoung Kim

Open access · goldAbstract read
In one paragraph

Article in Scientific reports, 2018. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 25 papers.

0numbers the graph read from it
0cells of the map it votes in
25citing papers in PubMed
4.2field-weighted citation impact, top 6% 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

25 citing papers in PubMed, 39 citations in OpenAlex.

  1. Review
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  6. Versatile JMJD proteins: juggling histones and much more.Trends in biochemical sciences · 2024
    Review
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  8. Review
  9. Article
  10. Article
  11. Article
  12. Urine NMR Metabolomics for Precision Oncology in Colorectal Cancer.International journal of molecular sciences · 2022
    Review
  13. Sex differences in the human metabolome.Biology of sex differences · 2022
    Review
  14. Review
  15. Article
  16. Article
  17. Article
  18. Article
  19. X- and Y-Linked Chromatin-Modifying Genes as Regulators of Sex-Specific Cancer Incidence and Prognosis.Clinical cancer research : an official journal of the American Association for Cancer Research · 2020
    Review
  20. 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

7 authors at 3 institutions in 3 countries.

Sili FanWest Coast Metabolomics Center, University of California, Davis, Davis, CA, USA.
Austin YeonDepartments of Surgery, Cedars-Sinai Medical Center, Los Angeles, CA, USA.
Muhammad ShahidDepartments of Surgery, Cedars-Sinai Medical Center, Los Angeles, CA, USA.
Jennifer T AngerDivision of Urology, Department of Surgery, Cedars-Sinai Medical Center, Los Angeles, CA, USA.
Karyn S EilberDivision of Urology, Department of Surgery, Cedars-Sinai Medical Center, Los Angeles, CA, USA.
Oliver FiehnWest Coast Metabolomics Center, University of California, Davis, Davis, CA, USA.ORCID 0000-0002-6261-8928
Jayoung KimDepartments of Surgery and Biomedical Sciences, Cedars-Sinai Medical Center, Los Angeles, CA, USA. Jayoung.Kim@cshs.org.
Cedars-Sinai Medical Center · USKing Abdulaziz University · SAUniversity of California, Davis · US

Funding

UCLA Clinical and Translational Science InstituteUL1TR000124 · NCATS · UNIVERSITY OF CALIFORNIA LOS ANGELES · PI DUBINETT, STEVEN M. · 2012 to 2015
$57.0M
West Coast Central Comprehensive Metabolomics Resource Core (WC3MRC)U24DK097154 · NIDDK · UNIVERSITY OF CALIFORNIA AT DAVIS · PI FIEHN, OLIVER · 2012 to 2017
$9.9M
NCATS NIH HHS UL1 TR000124NIDDK NIH HHS U24 DK097154U.S. Department of Defense (DOD) W81XWH-15-1-0415
6 · The paper itself

Abstract

The biological basis for gender variability among disease states is not well established. There have been many prior efforts attempting to identify the unique urine metabolomic profiles associated with specific diseases. However, there has been little advancement in investigating the metabolomic differences associated with gender, which underlies the misconception that risk factors and treatment regimens should be the same for both male and female patients. This present study aimed to identify biologically-meaningful baseline sex-related differences using urine samples provided by healthy female and male participants. To elucidate whether urinary metabolic signatures are globally distinct between healthy males and females, we applied metabolomics profiling of primary metabolism with comprehensive bioinformatics analyses on urine samples from 60 healthy males and females. We found that levels of α-ketoglutarate and 4-hydroxybutyric acid increased 2.3-fold and 4.41-fold in males compared to females, respectively. Furthermore, chemical similarity enrichment analysis revealed that differentially expressed metabolites, such as saturated fatty acids, TCA, and butyrates, were significantly related to the gender effect. These findings indicate that there are baseline sex-related differences in urinary metabolism, which should be considered in biomarker discovery, diagnosis, and treatment of bladder diseases, such as interstitial cystitis.

Indexed as

AdultAgedBiomarkersFemaleHealthy VolunteersHumansMaleMetabolomicsMiddle AgedSex CharacteristicsUrinary TractBiomarkers

Identifiers

PMID30089834
PMCPMC6082868
OpenAlexW2887120067

What OpenQuestion holds

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LicenceCC BY
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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.