Evidence map›Paper›PMID 31273253›Full record

ArticleScientific reports2019

Intra- and inter-individual metabolic profiling highlights carnitine and lysophosphatidylcholine pathways as key molecular defects in type 2 diabetes.

Klev Diamanti, Marco Cavalli, Gang Pan, Maria J Pereira, Chanchal Kumar, Stanko Skrtic, Manfred Grabherr, Ulf Risérus, Jan W Eriksson, Jan Komorowski and 1 more

Erratum issuedOpen 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. An erratum has been issued. Cited by 29 papers.

0numbers the graph read from it
0cells of the map it votes in
29citing papers in PubMed
2.8field-weighted citation impact, top 8% 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

29 citing papers in PubMed, 46 citations in OpenAlex.

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  13. Application of Metabolomics and Traditional Chinese Medicine for Type 2 Diabetes Mellitus Treatment.Diabetes, metabolic syndrome and obesity : targets and therapy · 2023
    Review
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4 · The record

Corrections and comments

5 · Who and what money

Authors and funding

11 authors at 3 institutions in 2 countries.

Klev DiamantiScience for Life Laboratory, Department of Cell and Molecular Biology, Uppsala University, Uppsala, Sweden.ORCID http://orcid.org/0000-0002-4922-8415
Marco CavalliScience for Life Laboratory, Department of Immunology, Genetics and Pathology, Uppsala University, Uppsala, Sweden.
Gang PanScience for Life Laboratory, Department of Immunology, Genetics and Pathology, Uppsala University, Uppsala, Sweden.
Maria J PereiraDepartment of Medical Sciences, Clinical Diabetes and Metabolism, Uppsala University, Uppsala, Sweden.ORCID http://orcid.org/0000-0001-5498-3899
Chanchal KumarTranslational Science & Experimental Medicine, Research and Early Development, Cardiovascular, Renal and Metabolism (CVRM), BioPharmaceuticals R&D, AstraZeneca, Gothenburg, Sweden.
Stanko SkrticPharmaceutical Technology & Development, AstraZeneca AB, Gothenburg, Sweden.
Manfred GrabherrDepartment of Medical Biochemistry and Microbiology, Uppsala University, Uppsala, Sweden.
Ulf RisérusDepartment of Public Health and Caring Sciences, Clinical Nutrition and Metabolism, Uppsala University, Uppsala, Sweden.
Jan W ErikssonDepartment of Medical Sciences, Clinical Diabetes and Metabolism, Uppsala University, Uppsala, Sweden.
Jan KomorowskiScience for Life Laboratory, Department of Cell and Molecular Biology, Uppsala University, Uppsala, Sweden.
Claes WadeliusScience for Life Laboratory, Department of Immunology, Genetics and Pathology, Uppsala University, Uppsala, Sweden. claes.wadelius@igp.uu.se.
Uppsala University · SEKarolinska Institutet · SESahlgrenska University Hospital · SE

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Type 2 diabetes (T2D) mellitus is a complex metabolic disease commonly caused by insulin resistance in several tissues. We performed a matched two-dimensional metabolic screening in tissue samples from 43 multi-organ donors. The intra-individual analysis was assessed across five key metabolic tissues (serum, visceral adipose tissue, liver, pancreatic islets and skeletal muscle), and the inter-individual across three different groups reflecting T2D progression. We identified 92 metabolites differing significantly between non-diabetes and T2D subjects. In diabetes cases, carnitines were significantly higher in liver, while lysophosphatidylcholines were significantly lower in muscle and serum. We tracked the primary tissue of origin for multiple metabolites whose alterations were reflected in serum. An investigation of three major stages spanning from controls, to pre-diabetes and to overt T2D indicated that a subset of lysophosphatidylcholines was significantly lower in the muscle of pre-diabetes subjects. Moreover, glycodeoxycholic acid was significantly higher in liver of pre-diabetes subjects while additional increase in T2D was insignificant. We confirmed many previously reported findings and substantially expanded on them with altered markers for early and overt T2D. Overall, the analysis of this unique dataset can increase the understanding of the metabolic interplay between organs in the development of T2D.

Indexed as

MetabolomeAgedBiomarkersCarnitineCase-Control StudiesDiabetes Mellitus, Type 2FemaleHumansInsulin ResistanceIntra-Abdominal FatLiverLysophosphatidylcholinesMaleMetabolomicsMiddle AgedMuscle, SkeletalBiomarkersCarnitineLysophosphatidylcholines

Identifiers

PMID31273253
PMCPMC6609645
OpenAlexW2955300219

What OpenQuestion holds

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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.