Evidence map›Paper›PMID 31705008›Full record

ArticleScientific reports2019

Lipidomic analysis reveals sphingomyelin and phosphatidylcholine species associated with renal impairment and all-cause mortality in type 1 diabetes.

Nete Tofte, Tommi Suvitaival, Linda Ahonen, Signe A Winther, Simone Theilade, Marie Frimodt-Møller, Tarunveer S Ahluwalia, Peter Rossing

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 56 papers.

0numbers the graph read from it
0cells of the map it votes in
56citing papers in PubMed
7.2field-weighted citation impact, top 2% 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

56 citing papers in PubMed, 91 citations in OpenAlex.

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  9. Structural Elucidation of Phosphatidylcholines via Radical-Directed Dissociation of [M + CuJournal of the American Society for Mass Spectrometry · 2025
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  10. Observational
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  17. Sphingolipids and Chronic Kidney Disease.Journal of clinical medicine · 2024
    Review
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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

8 authors at 2 institutions in 1 country.

Nete TofteSteno Diabetes Center Copenhagen, Gentofte, Denmark. nete.tofte@regionh.dk.ORCID http://orcid.org/0000-0002-5331-9168
Tommi SuvitaivalSteno Diabetes Center Copenhagen, Gentofte, Denmark.
Linda AhonenSteno Diabetes Center Copenhagen, Gentofte, Denmark.ORCID http://orcid.org/0000-0001-7704-3912
Signe A WintherSteno Diabetes Center Copenhagen, Gentofte, Denmark.
Simone TheiladeSteno Diabetes Center Copenhagen, Gentofte, Denmark.
Marie Frimodt-MøllerSteno Diabetes Center Copenhagen, Gentofte, Denmark.
Tarunveer S AhluwaliaSteno Diabetes Center Copenhagen, Gentofte, Denmark.
Peter RossingSteno Diabetes Center Copenhagen, Gentofte, Denmark.ORCID http://orcid.org/0000-0002-1531-4294
Steno Diabetes Centers · DKUniversity of Copenhagen · DK

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

There is an urgent need for a better molecular understanding of the pathophysiology underlying development and progression of diabetic nephropathy. The aim of the current study was to identify novel associations between serum lipidomics and diabetic nephropathy. Non-targeted serum lipidomic analyses were performed with mass spectrometry in 669 individuals with type 1 diabetes. Cross-sectional associations of lipid species with estimated glomerular filtration rate (eGFR) and urinary albumin excretion were assessed. Moreover, associations with register-based longitudinal follow-up for progression to a combined renal endpoint including ≥30% decline in eGFR, ESRD and all-cause mortality were evaluated. Median follow-up time was 5.0-6.4 years. Adjustments included traditional risk factors and multiple testing correction. In total, 106 lipid species were identified. Primarily, alkyl-acyl phosphatidylcholines, triglycerides and sphingomyelins demonstrated cross-sectional associations with eGFR and macroalbuminuria. In longitudinal analyses, thirteen lipid species were associated with the slope of eGFR or albuminuria. Of these lipids, phosphatidylcholine and sphingomyelin species, PC(O-34:2), PC(O-34:3), SM(d18:1/24:0), SM(d40:1) and SM(d41:1), were associated with lower risk of the combined renal endpoint. PC(O-34:3), SM(d40:1) and SM(d41:1) were associated with lower risk of all-cause mortality while an SM(d18:1/24:0) was associated with lower risk of albuminuria group progression. We report distinct associations between lipid species and risk of renal outcomes in type 1 diabetes, independent of traditional markers of kidney function.

Indexed as

AdultAgedAlbuminuriaCross-Sectional StudiesDenmarkDiabetes Mellitus, Type 1Diabetic NephropathiesDisease ProgressionFemaleGlomerular Filtration RateHumansKidney Failure, ChronicLipidomicsLongitudinal StudiesMaleMiddle AgedPhosphatidylcholinesSphingomyelins

Identifiers

PMID31705008
PMCPMC6841673
OpenAlexW2985106817

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.