Evidence map›Paper›PMID 34576148›Full record

ArticleInternational journal of molecular sciences2021

A Novel UPLC-MS/MS Method Identifies Organ-Specific Dipeptide Profiles.

Elena Heidenreich, Tilman Pfeffer, Tamara Kracke, Nils Mechtel, Peter Nawroth, Georg F Hoffmann, Claus Peter Schmitt, Rüdiger Hell, Gernot Poschet, Verena Peters

Open access · goldAbstract read
In one paragraph

Article in International journal of molecular sciences, 2021. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 8 papers.

0numbers the graph read from it
0cells of the map it votes in
8citing papers in PubMed
1.1field-weighted citation impact, top 23% 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

8 citing papers in PubMed, 15 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

10 authors at 1 institution in 1 country.

Elena HeidenreichCentre for Organismal Studies (COS), Metabolomics Core Technology Platform, Heidelberg University, 69120 Heidelberg, Germany.
Tilman PfefferCentre for Paediatric and Adolescent Medicine, University Hospital Heidelberg, 69120 Heidelberg, Germany.
Tamara KrackeCentre for Paediatric and Adolescent Medicine, University Hospital Heidelberg, 69120 Heidelberg, Germany.ORCID 0000-0003-2752-1597
Nils MechtelCentre for Organismal Studies (COS), Metabolomics Core Technology Platform, Heidelberg University, 69120 Heidelberg, Germany.
Peter NawrothDepartment of Internal Medicine I and Clinical Chemistry, University Hospital of Heidelberg, 69120 Heidelberg, Germany.
Georg F HoffmannCentre for Paediatric and Adolescent Medicine, University Hospital Heidelberg, 69120 Heidelberg, Germany.
Claus Peter SchmittCentre for Paediatric and Adolescent Medicine, University Hospital Heidelberg, 69120 Heidelberg, Germany.
Rüdiger HellCentre for Organismal Studies (COS), Metabolomics Core Technology Platform, Heidelberg University, 69120 Heidelberg, Germany.ORCID 0000-0002-6238-4818
Gernot PoschetCentre for Organismal Studies (COS), Metabolomics Core Technology Platform, Heidelberg University, 69120 Heidelberg, Germany.ORCID 0000-0002-5344-0865
Verena PetersCentre for Paediatric and Adolescent Medicine, University Hospital Heidelberg, 69120 Heidelberg, Germany.ORCID 0000-0002-4649-0848
Heidelberg University · DE

Funding

Deutsche Forschungsgemeinschaft 236360313
6 · The paper itself

Abstract

backgroundAmino acids have a central role in cell metabolism, and intracellular changes contribute to the pathogenesis of various diseases, while the role and specific organ distribution of dipeptides is largely unknown.

methodWe established a sensitive, rapid and reliable UPLC-MS/MS method for quantification of 36 dipeptides. Dipeptide patterns were analyzed in brown and white adipose tissues, brain, eye, heart, kidney, liver, lung, muscle, sciatic nerve, pancreas, spleen and thymus, serum and urine of C57BL/6N wildtype mice and related to the corresponding amino acid profiles.

resultsA total of 30 out of the 36 investigated dipeptides were detected with organ-specific distribution patterns. Carnosine and anserine were most abundant in all organs, with the highest concentrations in muscles. In liver, Asp-Gln and Ala-Gln concentrations were high, in the spleen and thymus, Glu-Ser and Gly-Asp. In serum, dipeptide concentrations were several magnitudes lower than in organ tissues. In all organs, dipeptides with C-terminal proline (Gly-Pro and Leu-Pro) were present at higher concentrations than dipeptides with N-terminal proline (Pro-Gly and Pro-Leu). Organ-specific amino acid profiles were related to the dipeptide profile with several amino acid concentrations being related to the isomeric form of the dipeptides. Aspartate, histidine, proline and serine tissue concentrations correlated with dipeptide concentrations, when the amino acids were present at the C- but not at the N-terminus.

conclusionOur multi-dipeptide quantification approach demonstrates organ-specific dipeptide distribution. This method allows us to understand more about the dipeptide metabolism in disease or in healthy state.

Indexed as

Organ SpecificityTandem Mass SpectrometryAmino AcidsAnimalsBody FluidsChromatography, High Pressure LiquidDipeptidesMiceMice, Inbred C57BLReference StandardsReproducibility of ResultsStereoisomerismAmino AcidsDipeptidesbiofluidsdipeptidesmass spectrometrymetabolismtissueUPLC

Identifiers

PMID34576148
PMCPMC8465603
OpenAlexW3201452294

What Socratic holds

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LicenceCC BY
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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 Socratic graph.