Evidence map›Paper›PMID 31048706›Full record

ArticleScientific reports2019

Untargeted metabolomics reveals N, N, N-trimethyl-L-alanyl-L-proline betaine (TMAP) as a novel biomarker of kidney function.

Thomas J Velenosi, Benjamin K A Thomson, Nicholas C Tonial, Adrien A E RaoPeters, Megan A Mio, Gilles A Lajoie, Amit X Garg, Andrew A House, Bradley L Urquhart

Open access · goldAbstract read
In one paragraph

Article in Scientific reports, 2019. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 21 papers.

0numbers the graph read from it
0cells of the map it votes in
21citing papers in PubMed
3.7field-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

21 citing papers in PubMed, 51 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

9 authors at 1 institution in 1 country.

Thomas J VelenosiDepartment of Physiology and Pharmacology, Schulich School of Medicine and Dentistry, The University of Western Ontario, Ontario, Canada.
Benjamin K A ThomsonDivision of Nephrology, Department of Medicine, Schulich School of Medicine and Dentistry, The University of Western Ontario, Ontario, Canada.
Nicholas C TonialDepartment of Physiology and Pharmacology, Schulich School of Medicine and Dentistry, The University of Western Ontario, Ontario, Canada.
Adrien A E RaoPetersDepartment of Physiology and Pharmacology, Schulich School of Medicine and Dentistry, The University of Western Ontario, Ontario, Canada.
Megan A MioDepartment of Physiology and Pharmacology, Schulich School of Medicine and Dentistry, The University of Western Ontario, Ontario, Canada.
Gilles A LajoieDepartment of Biochemistry, Schulich School of Medicine and Dentistry, The University of Western Ontario, Ontario, Canada.
Amit X GargDivision of Nephrology, Department of Medicine, Schulich School of Medicine and Dentistry, The University of Western Ontario, Ontario, Canada.
Andrew A HouseDivision of Nephrology, Department of Medicine, Schulich School of Medicine and Dentistry, The University of Western Ontario, Ontario, Canada.
Bradley L UrquhartDepartment of Physiology and Pharmacology, Schulich School of Medicine and Dentistry, The University of Western Ontario, Ontario, Canada. Brad.Urquhart@schulich.uwo.ca.ORCID http://orcid.org/0000-0001-8324-1472
Western University · CA

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

The diagnosis and prognosis of chronic kidney disease (CKD) currently relies on very few circulating small molecules, which can vary by factors unrelated to kidney function. In end-stage renal disease (ESRD), these same small molecules are used to determine dialysis dose and dialytic clearance. Therefore, we aimed to identify novel plasma biomarkers to estimate kidney function in CKD and dialytic clearance in ESRD. Untargeted metabolomics was performed on plasma samples from patients with a single kidney, non-dialysis CKD, ESRD and healthy controls. For ESRD patients, pre- and post-dialysis plasma samples were obtained from several dialysis modalities. Metabolomics analysis revealed over 400 significantly different features in non-dialysis CKD and ESRD plasma compared to controls while less than 35 features were significantly altered in patients with a single kidney. N,N,N-trimethyl-L-alanyl-L-proline betaine (TMAP, AUROC = 0.815) and pyrocatechol sulfate (AUROC = 0.888) outperformed creatinine (AUROC = 0.745) in accurately identifying patients with a single kidney. Several metabolites accurately predicted ESRD; however, when comparing pre-and post-hemodialysis, TMAP was the most robust biomarker of dialytic clearance for all modalities (AUROC = 0.993). This study describes TMAP as a novel potential biomarker of kidney function and dialytic clearance across several hemodialysis modalities.

Indexed as

AdultAgedAged, 80 and overBetaineBiomarkersCreatinineFemaleGlomerular Filtration RateHumansKidneyKidney Failure, ChronicMaleMetabolomicsMiddle AgedRenal DialysisRenal Insufficiency, ChronicBetaineBiomarkersCreatinine

Identifiers

PMID31048706
PMCPMC6497643
OpenAlexW2942647590

What OpenQuestion holds

Textmetadata
LicenceCC BY
Read underepoch 390

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.