{"entity": "researcher", "timestamp": "2026-08-08T16:20:31.421Z", "family": "Welinder", "given": "Charlotte", "initials": "C", "orcid": "0000-0001-9626-0576", "affiliations": ["Department of Clinical Sciences, Lund, Section of Oncology and Pathology, Lund University, Lund, Sweden.", "Center of Excellence in Biological and Medical Mass Spectrometry (CEBMMS), Lund University, Lund, Sweden."], "links": {"self": {"href": "https://publications.scilifelab.se/researcher/924dc427398e4ba7b31eb5b4b47a89ca.json"}, "display": {"href": "https://publications.scilifelab.se/researcher/924dc427398e4ba7b31eb5b4b47a89ca"}}, "publications": [{"entity": "publication", "iuid": "9d21fed99d724073b273c4111d795658", "links": {"self": {"href": "https://publications.scilifelab.se/publication/9d21fed99d724073b273c4111d795658.json"}, "display": {"href": "https://publications.scilifelab.se/publication/9d21fed99d724073b273c4111d795658"}}, "title": "Data-Driven Cluster Analysis of Cerebrospinal Fluid Proteome and Associations with Clinical Phenotypes in Systemic Lupus Erythematosus.", "authors": [{"family": "Grenmyr", "given": "Elsa", "initials": "E", "orcid": "0009-0001-2638-401X", "researcher": {"href": "https://publications.scilifelab.se/researcher/a444ccb93e41482b89fc5701e9d1f112.json"}}, {"family": "Zervides", "given": "Kristoffer", "initials": "K", "orcid": "0000-0003-4311-1635", "researcher": {"href": "https://publications.scilifelab.se/researcher/0d3d97e5524f4b96b9c1eec6a3046ad4.json"}}, {"family": "Najibi", "given": "Seyed Morteza", "initials": "SM", "orcid": "0000-0001-6756-508X", "researcher": {"href": "https://publications.scilifelab.se/researcher/57edb80d12c241ac81cee27e914bcc31.json"}}, {"family": "Gullstrand", "given": "Birgitta", "initials": "B", "orcid": "0000-0002-9172-990X", "researcher": {"href": "https://publications.scilifelab.se/researcher/53a3099cf6d14f9e8a9cec8e6f305761.json"}}, {"family": "Welinder", "given": "Charlotte", "initials": "C", "orcid": "0000-0001-9626-0576", "researcher": {"href": "https://publications.scilifelab.se/researcher/924dc427398e4ba7b31eb5b4b47a89ca.json"}}, {"family": "Nystedt", "given": "Jessika", "initials": "J", "orcid": "0000-0002-7193-1828", "researcher": {"href": "https://publications.scilifelab.se/researcher/7ca2947d930a471eb7fa23c622b7a5bb.json"}}, {"family": "Nilsson", "given": "Petra C", "initials": "PC"}, {"family": "Sundgren", "given": "Pia C", "initials": "PC", "orcid": "0000-0001-9237-1236", "researcher": {"href": "https://publications.scilifelab.se/researcher/e7c755205abb4ecfabb3d5f021b7a1f6.json"}}, {"family": "Kahn", "given": "Robin", "initials": "R", "orcid": "0000-0002-3167-1179", "researcher": {"href": "https://publications.scilifelab.se/researcher/9f81ea4fa0314830a81ceec70ec188da.json"}}, {"family": "J\u00f6nsen", "given": "Andreas", "initials": "A", "orcid": "0000-0002-4418-5786", "researcher": {"href": "https://publications.scilifelab.se/researcher/894f8618182f401dafa8071e75ca57fa.json"}}, {"family": "Bengtsson", "given": "Anders A", "initials": "AA"}], "type": "journal article", "published": "2025-09-00", "journal": {"title": "ACR Open Rheumatol", "issn": "2578-5745", "volume": "7", "issue": "9", "pages": "e70089", "issn-l": null}, "abstract": "To explore the cerebrospinal fluid (CSF) proteome in systemic lupus erythematosus (SLE) and the associations between the CSF proteomic patterns and clinical manifestations.\n\nCSF samples from 29 female outpatients with SLE were analyzed with label-free liquid chromatography tandem mass spectrometry. Inclusion and CSF collection were conducted irrespective of clinical manifestations and disease duration. Proteomic data were used for sample clustering and analyzed for clinical variance. Proteins were clustered using Weighted Gene Co-expression Correlation Network Analysis. Modules were biologically characterized and analyzed for correlation to the clinical dataset.\n\nThree patient clusters were identified. Cluster 1 was characterized by the highest frequency of nephritis, depression, and cognitive dysfunction. Cluster 2 showed the highest frequency of alopecia and Sjogren disease antigen A-antibodies (anti-SSA) and a low frequency of cognitive impairment. Cluster 3 had a higher frequency of autonomic neuropathy and headache. Six protein modules were identified (module 1 [M1]-M6). Modules were characterized by nervous tissue proteins (M1), central nervous system (CNS) lipoproteins (M2), macrophage proteins (M3), plasma proteins (M4), Ig (M5), and intracellular metabolic proteins (M6). M1 and M2 proteins were most abundant in cluster 1 and correlated with nephritis, depression, and cognitive impairment. Increased abundance of M4 and M5 proteins were most distinct in cluster 2 and inversely correlated to cognitive impairment and brain atrophy.\n\nPatients clustered by their CSF proteomic pattern had different disease phenotypes. Nephritis and neuronal damage defined the group with higher levels of neuronal proteins in CSF, which may suggest shared pathogenetic pathways in SLE affecting the kidney and CNS.", "doi": "10.1002/acr2.70089", "pmid": "40874685", "labels": {"Clinical Proteomics Lund": "Service"}, "xrefs": [{"db": "pmc", "key": "PMC12392285"}], "notes": [], "created": "2025-11-28T10:11:22.816Z", "modified": "2025-11-28T10:11:23.769Z"}, {"entity": "publication", "iuid": "9e94dfa9b92d448eabccf47bb68156e2", "links": {"self": {"href": "https://publications.scilifelab.se/publication/9e94dfa9b92d448eabccf47bb68156e2.json"}, "display": {"href": "https://publications.scilifelab.se/publication/9e94dfa9b92d448eabccf47bb68156e2"}}, "title": "Ultrasensitive Immunoprofiling of Plasma Extracellular Vesicles Identifies Syndecan-1 as a Potential Tool for Minimally Invasive Diagnosis of Glioma.", "authors": [{"family": "Indira Chandran", "given": "Vineesh", "initials": "V"}, {"family": "Welinder", "given": "Charlotte", "initials": "C", "orcid": "0000-0001-9626-0576", "researcher": {"href": "https://publications.scilifelab.se/researcher/924dc427398e4ba7b31eb5b4b47a89ca.json"}}, {"family": "M\u00e5nsson", "given": "Ann-Sofie", "initials": "AS"}, {"family": "Offer", "given": "Svenja", "initials": "S"}, {"family": "Freyhult", "given": "Eva", "initials": "E", "orcid": "0000-0003-0226-1047", "researcher": {"href": "https://publications.scilifelab.se/researcher/be110f11a53d4dcfa3bfd1657167895e.json"}}, {"family": "Pernemalm", "given": "Maria", "initials": "M", "orcid": "0000-0003-4624-031X", "researcher": {"href": "https://publications.scilifelab.se/researcher/f15f303cb2044cfa81719700137e3603.json"}}, {"family": "Lund", "given": "Sigrid M", "initials": "SM"}, {"family": "Pedersen", "given": "Shona", "initials": "S", "orcid": "0000-0001-6636-0293", "researcher": {"href": "https://publications.scilifelab.se/researcher/0c9565eb33bc4f15bdefeb1e796a728f.json"}}, {"family": "Lehti\u00f6", "given": "Janne", "initials": "J", "orcid": "0000-0002-8100-9562", "researcher": {"href": "https://publications.scilifelab.se/researcher/8406a97bac744a59b1bc951978994581.json"}}, {"family": "Marko-Varga", "given": "Gyorgy", "initials": "G"}, {"family": "Johansson", "given": "Maria C", "initials": "MC"}, {"family": "Englund", "given": "Elisabet", "initials": "E", "orcid": "0000-0002-2708-2443", "researcher": {"href": "https://publications.scilifelab.se/researcher/8c98fa2b2e7e4e318cd00eb1e8e3ac7a.json"}}, {"family": "Sundgren", "given": "Pia C", "initials": "PC", "orcid": "0000-0001-9237-1236", "researcher": {"href": "https://publications.scilifelab.se/researcher/e7c755205abb4ecfabb3d5f021b7a1f6.json"}}, {"family": "Belting", "given": "Mattias", "initials": "M"}], "type": "journal article", "published": "2019-05-15", "journal": {"volume": "25", "issn": "1557-3265", "issue": "10", "title": "Clin. Cancer Res.", "pages": "3115-3127", "issn-l": "1078-0432"}, "abstract": "Liquid biopsy has great potential to improve the management of brain tumor patients at high risk of surgery-associated complications. Here, the aim was to explore plasma extracellular vesicle (plEV) immunoprofiling as a tool for noninvasive diagnosis of glioma.\n\nPlEV isolation and analysis were optimized using advanced mass spectrometry, nanoparticle tracking analysis, and electron microscopy. We then established a new procedure that combines size exclusion chromatography isolation and proximity extension assay-based ultrasensitive immunoprofiling of plEV proteins that was applied on a well-defined glioma study cohort (n = 82).\n\nAmong potential candidates, we for the first time identify syndecan-1 (SDC1) as a plEV constituent that can discriminate between high-grade glioblastoma multiforme (GBM, WHO grade IV) and low-grade glioma [LGG, WHO grade II; area under the ROC curve (AUC): 0.81; sensitivity: 71%; specificity: 91%]. These findings were independently validated by ELISA. Tumor SDC1 mRNA expression similarly discriminated between GBM and LGG in an independent glioma patient population from The Cancer Genome Atlas cohort (AUC: 0.91; sensitivity: 79%; specificity: 91%). In experimental studies with GBM cells, we show that SDC1 is efficiently sorted to secreted EVs. Importantly, we found strong support of plEVSDC1 originating from GBM tumors, as plEVSDC1 correlated with SDC1 protein expression in matched patient tumors, and plEVSDC1 was decreased postoperatively depending on the extent of surgery.\n\nOur studies support the concept of circulating plEVs as a tool for noninvasive diagnosis and monitoring of gliomas and should move this field closer to the goal of improving the management of cancer patients.", "doi": "10.1158/1078-0432.CCR-18-2946", "pmid": "30679164", "labels": {"Bioinformatics Support, Infrastructure and Training": "Collaborative", "Bioinformatics Support and Infrastructure": "Collaborative", "Global Proteomics and Proteogenomics": "Technology development", "Structural Proteomics": "Service", "Bioinformatics (NBIS)": "Collaborative"}, "xrefs": [{"db": "pii", "key": "1078-0432.CCR-18-2946"}], "notes": [], "created": "2019-02-01T09:02:21.138Z", "modified": "2021-07-08T11:26:52.783Z"}]}