Evidence map›Paper›PMID 31827677›Full record

ArticleOxidative medicine and cellular longevity2019

Urinary Metabolomic Markers of Protein Glycation, Oxidation, and Nitration in Early-Stage Decline in Metabolic, Vascular, and Renal Health.

Jinit Masania, Gernot Faustmann, Attia Anwar, Hildegard Hafner-Giessauf, Nasir Rajpoot, Johanna Grabher, Kashif Rajpoot, Beate Tiran, Barbara Obermayer-Pietsch, Brigitte M Winklhofer-Roob and 3 more

Open access · hybridAbstract read
In one paragraph

Article in Oxidative medicine and cellular longevity, 2019. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 13 papers.

0numbers the graph read from it
0cells of the map it votes in
13citing papers in PubMed
2.5field-weighted citation impact, top 12% 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

13 citing papers in PubMed, 23 citations in OpenAlex.

  1. Trial
  2. Article
  3. Article
  4. Review
  5. CKD Urine Metabolomics: Modern Concepts and Approaches.Pathophysiology : the official journal of the International Society for Pathophysiology · 2023
    Review
  6. Article
  7. Article
  8. Review
  9. Organelle Stress and Metabolic Derangement in Kidney Disease.International journal of molecular sciences · 2022
    Review
  10. Article
  11. Article
  12. Article
  13. Review
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

13 authors at 5 institutions in 3 countries.

Jinit MasaniaWarwick Medical School, Clinical Sciences Research Laboratories, University of Warwick, University Hospital, Coventry CV2 2DX, UK.
Gernot FaustmannClinical Division of Nephrology, Department of Internal Medicine, Medical University of Graz, 8036 Graz, Austria.
Attia AnwarWarwick Medical School, Clinical Sciences Research Laboratories, University of Warwick, University Hospital, Coventry CV2 2DX, UK.
Hildegard Hafner-GiessaufClinical Division of Nephrology, Department of Internal Medicine, Medical University of Graz, 8036 Graz, Austria.
Nasir RajpootDepartment of Computer Sciences, University of Warwick, Coventry CV4 7AL, UK.
Johanna GrabherClinical Division of Nephrology, Department of Internal Medicine, Medical University of Graz, 8036 Graz, Austria.
Kashif RajpootSchool of Computer Science, University of Birmingham, Edgbaston, Birmingham B15 2TT, UK.
Beate TiranClinical Institute of Medical and Clinical Laboratory Diagnostics, Medical University of Graz, 8036 Graz, Austria.
Barbara Obermayer-PietschClinical Division of Endocrinology, Department of Internal Medicine, Medical University of Graz, 8036 Graz, Austria.
Brigitte M Winklhofer-RoobHuman Nutrition & Metabolism Research and Training Center (HNMRC), Institute of Molecular Biosciences, Karl Franzens University of Graz, Universitätsplatz 2, 8010 Graz, Austria.
Johannes M RoobClinical Division of Nephrology, Department of Internal Medicine, Medical University of Graz, 8036 Graz, Austria.
Naila RabbaniWarwick Medical School, Clinical Sciences Research Laboratories, University of Warwick, University Hospital, Coventry CV2 2DX, UK.
Paul J ThornalleyWarwick Medical School, Clinical Sciences Research Laboratories, University of Warwick, University Hospital, Coventry CV2 2DX, UK.ORCID https://orcid.org/0000-0001-7659-443X
Medical University of Graz · ATUniversity Hospital Coventry · GBUniversity of Graz · ATUniversity of Birmingham · GBUniversity of Warwick · GB

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Glycation, oxidation, nitration, and crosslinking of proteins are implicated in the pathogenic mechanisms of type 2 diabetes, cardiovascular disease, and chronic kidney disease. Related modified amino acids formed by proteolysis are excreted in urine. We quantified urinary levels of these metabolites and branched-chain amino acids (BCAAs) in healthy subjects and assessed changes in early-stage decline in metabolic, vascular, and renal health and explored their diagnostic utility for a noninvasive health screen. We recruited 200 human subjects with early-stage health decline and healthy controls. Urinary amino acid metabolites were determined by stable isotopic dilution analysis liquid chromatography-tandem mass spectrometry. Machine learning was applied to optimise and validate algorithms to discriminate between study groups for potential diagnostic utility. Urinary analyte changes were as follows: impaired metabolic health-increased N

Indexed as

AdultAlgorithmsAmino Acids, Branched-ChainBiomarkersBody Mass IndexCase-Control StudiesChromatography, High Pressure LiquidFemaleGlycation End Products, AdvancedGlycosylationHumansKidneyLysineMaleMetabolic DiseasesOxidation-Reduction3-nitrotyrosineAmino Acids, Branched-ChainBiomarkersglucosepaneGlycation End Products, AdvancedLysineN(6)-carboxymethyllysineTyrosine

Identifiers

PMID31827677
PMCPMC6885816
OpenAlexW2989775132

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.