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

{"sci_version": "1.2", "schema": "https://corpus.bntrg.co.uk/sci/1.0/sci.schema.json", "id": "pmid:29196338", "kind": "science-record", "revision": 3, "content_hash": "sha256:8272b31303dc3d48a558d7b08d6761be74acfd0f16e5cb36240273958a2be6e9", "created_at": "2026-11-01T15:40:29Z", "updated_at": "2026-11-01T21:21:10Z", "generator": {"name": "corpus-assay-engine", "run_id": "reading-sci-2026-11-01"}, "paper": {"state": "complete", "title": "Proteomics and metabolomics identify molecular mechanisms of aging potentially predisposing for chronic lymphocytic leukemia.", "doi": "10.1074/mcp.RA117.000425", "pmid": "29196338", "authors": ["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", "Astrid Slany", "Christopher Gerner"], "journal": "Molecular & cellular proteomics : MCP", "year": 2018, "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.", "claims": [{"id": "claim-target-result", "statement": "The paper used principal component analysis (PCA) to separate the four cell groups based on 6,945 proteins, and its mass spectrometric proteomics source data were deposited in ProteomeXchange under identifiers PXD006570-PXD006572, PXD006576, PXD006578, and PXD006589-PXD006591.", "kind": "qualitative", "target": null, "evidence": [{"asset": "source:pmid:29196338", "locator": "sections[0] \"Abstract\" paragraph 1", "quote": "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."}, {"asset": "source:pmid:29196338", "locator": "sections[0] \"Abstract\" paragraph 1", "quote": "Mass spectrometric proteomics data have been made fully accessible via ProteomeXchange with identifier PXD006570-PXD006572, PXD006576, PXD006578, and PXD006589-PXD006591."}], "state": "complete"}], "gaps": []}, "experiment": {"state": "partial", "objective": "The paper used principal component analysis (PCA) to separate the four cell groups based on 6,945 proteins, and its mass spectrometric proteomics source data were deposited in ProteomeXchange under identifiers PXD006570-PXD006572, PXD006576, PXD006578, and PXD006589-PXD006591.", "steps": [{"id": "read_published_estimate", "order": 1, "name": "Read the published estimate from the source", "kind": "other", "state": "complete", "blocked_on": null, "description": "The claim, method and evidence span published with the source article.", "duration_hours": null, "parameters": {}, "inputs": ["source:pmid:29196338"], "outputs": ["the published estimate and its evidence"], "instruments": [], "reagents": []}, {"id": "obtain_source_data", "order": 2, "name": "Obtain the source data from the named repository", "kind": "data-preparation", "state": "blocked", "blocked_on": "data:accession_absent", "description": "The GEO series accession resolves and its sample accessions are listed. 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