Evidence mapPaperPMID 29196338Full record

ArticleMolecular & cellular proteomics : MCP2018

Proteomics and metabolomics identify molecular mechanisms of aging potentially predisposing for chronic lymphocytic leukemia.

Rupert L Mayer, Josef D Schwarzmeier, Marlene C Gerner, Andrea Bileck, Johanna C Mader, Samuel M Meier-Menches, Samuel M Gerner, Klaus G Schmetterer, Tobias Pukrop, Albrecht Reichle and 2 more

Open access · hybridAbstract read
In one paragraph

Article in Molecular & cellular proteomics : MCP, 2018. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 39 papers.

0numbers the graph read from it
0cells of the map it votes in
39citing papers in PubMed
3.8field-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

39 citing papers in PubMed, 58 citations in OpenAlex.

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  4. Identification ofJournal of gastrointestinal oncology · 2024
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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

12 authors at 4 institutions in 5 countries.

Rupert L MayerFrom the ‡Department of Analytical Chemistry, Faculty of Chemistry.
Josef D Schwarzmeier§Karl Landsteiner Institute for Bioanalytical Oncology, Karl Landsteiner Society, Vienna, Austria.
Marlene C Gerner¶Department of Laboratory Medicine, Medical University of Vienna, Austria.
Andrea BileckFrom the ‡Department of Analytical Chemistry, Faculty of Chemistry.
Johanna C MaderFrom the ‡Department of Analytical Chemistry, Faculty of Chemistry.
Samuel M Meier-MenchesFrom the ‡Department of Analytical Chemistry, Faculty of Chemistry.
Samuel M GernerFrom the ‡Department of Analytical Chemistry, Faculty of Chemistry.
Klaus G Schmetterer¶Department of Laboratory Medicine, Medical University of Vienna, Austria.
Tobias Pukrop‖Department of Internal Medicine III, Haematology & Oncology, University Hospital of Regensburg, Regensburg, Germany.
Albrecht Reichle‖Department of Internal Medicine III, Haematology & Oncology, University Hospital of Regensburg, Regensburg, Germany.
Astrid SlanyFrom the ‡Department of Analytical Chemistry, Faculty of Chemistry.ORCID 0000-0002-2217-5800
Christopher GernerFrom the ‡Department of Analytical Chemistry, Faculty of Chemistry, christopher.gerner@univie.ac.at.ORCID 0000-0003-4964-0642
University of Vienna · ATMedical University of Vienna · ATUniversity Hospital Regensburg · DEKarl Landsteiner Society · AT

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

B cell chronic lymphocytic leukemia (B-CLL), the most common type of leukemia in adults, is still essentially incurable despite the development of novel therapeutic strategies. This reflects the incomplete understanding of the pathophysiology of this disease. A comprehensive proteome analysis of primary human B-CLL cells and B cells from younger as well as elderly healthy donors was performed. For comparison, the chronic B cell leukemia cell line JVM-13 was also included. A principal component analysis comprising 6,945 proteins separated these four groups, placing B cells of aged-matched controls between those of young donors and B-CLL patients, while identifying JVM-13 as poorly related cells. Mass spectrometric proteomics data have been made fully accessible via ProteomeXchange with identifier PXD006570-PXD006572, PXD006576, PXD006578, and PXD006589-PXD006591. Remarkably, B cells from aged controls displayed significant regulation of proteins related to stress management in mitochondria and ROS stress such as DLAT, FIS1, and NDUFAB1, and DNA repair, including RAD9A, MGMT, and XPA. ROS levels were indeed found significantly increased in B cells but not in T cells or monocytes from aged individuals. These alterations may be relevant for tumorigenesis and were observed similarly in B-CLL cells. In B-CLL cells, some remarkable unique features like the loss of tumor suppressor molecules PNN and JARID2, the stress-related serotonin transporter SLC6A4, and high expression of ZNF207, CCDC88A, PIGR and ID3, otherwise associated with stem cell phenotype, were determined. Alterations of metabolic enzymes were another outstanding feature in comparison to normal B cells, indicating increased beta-oxidation of fatty acids and increased consumption of glutamine. Targeted metabolomics assays corroborated these results. The present findings identify a potential proteome signature for immune senescence in addition to previously unrecognized features of B-CLL cells and suggest that aging may be accompanied by cellular reprogramming functionally relevant for predisposing B cells to transform to B-CLL cells.

Indexed as

AdultAgedAged, 80 and overAgingB-LymphocytesCell Line, TumorFemaleHumansLeukemia, Lymphocytic, Chronic, B-CellMaleMetabolomicsMiddle AgedNeoplasm ProteinsProteomicsNeoplasm Proteins

Identifiers

PMID29196338
PMCPMC5795392
OpenAlexW2773025283

What Socratic holds

Textmetadata
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 Socratic graph.