{"entity": "researcher", "timestamp": "2026-08-15T13:08:05.075Z", "family": "\u00c5berg", "given": "Mikael", "initials": "M", "orcid": "0000-0002-7858-8233", "affiliations": ["Department of Medical Sciences Clinical Chemistry and Science for Life Laboratory Uppsala University  Uppsala Sweden"], "links": {"self": {"href": "https://publications.scilifelab.se/researcher/90fa86e9aeaa43ea9547e48b4f3f24e3.json"}, "display": {"href": "https://publications.scilifelab.se/researcher/90fa86e9aeaa43ea9547e48b4f3f24e3"}}, "publications": [{"entity": "publication", "iuid": "9fc4953605de40198d0d1f18d4d4caf2", "links": {"self": {"href": "https://publications.scilifelab.se/publication/9fc4953605de40198d0d1f18d4d4caf2.json"}, "display": {"href": "https://publications.scilifelab.se/publication/9fc4953605de40198d0d1f18d4d4caf2"}}, "title": "Inflammatory protein profiles and shunt response in iNPH", "authors": [{"family": "Braun", "given": "Madelene", "initials": "M", "orcid": "0000-0001-8844-1756", "researcher": {"href": "https://publications.scilifelab.se/researcher/eb656d2129504868a45c01ae52cdb700.json"}}, {"family": "Ekblom", "given": "Maria", "initials": "M"}, {"family": "Freyhult", "given": "Eva", "initials": "E", "orcid": "0000-0003-0226-1047", "researcher": {"href": "https://publications.scilifelab.se/researcher/be110f11a53d4dcfa3bfd1657167895e.json"}}, {"family": "\u00c5berg", "given": "Mikael", "initials": "M", "orcid": "0000-0002-7858-8233", "researcher": {"href": "https://publications.scilifelab.se/researcher/90fa86e9aeaa43ea9547e48b4f3f24e3.json"}}, {"family": "Nyholm", "given": "Dag", "initials": "D"}, {"family": "Kultima", "given": "Kim", "initials": "K", "orcid": "0000-0002-0680-1410", "researcher": {"href": "https://publications.scilifelab.se/researcher/9ae376585168459681f5e2cae0c75b96.json"}}, {"family": "Virhammar", "given": "Johan", "initials": "J", "orcid": "0000-0001-9901-2949", "researcher": {"href": "https://publications.scilifelab.se/researcher/d7c5d8e520cf483e9d4fbb1ce459aec5.json"}}], "type": "journal-article", "published": "2026-01-07", "journal": {"title": "Fluids Barriers CNS", "issn": "2045-8118", "volume": "23", "issue": "1", "pages": "5", "issn-l": null}, "abstract": "Neuroinflammation in the context of idiopathic normal pressure hydrocephalus (iNPH) is poorly studied. Currently, no single objective test can reliably predict outcomes after shunt surgery. The aim was to investigate whether neuroinflammatory proteins in cerebrospinal fluid (CSF) are associated with the characteristic symptoms of iNPH and whether they can predict outcome after shunting.\n\nNeuroinflammatory proteins were analyzed from preoperative CSF using proximity extension assay (PEA). In total, 92 proteins were analyzed from 74 patients with iNPH referred to shunt surgery at a single center, with follow-up at the same hospital. Symptoms were assessed before surgery and at follow-up (primarily 12 months post-surgery), graded with the Swedish iNPH scale. Associations between protein levels and preoperative symptoms, as well as outcome, were analyzed using linear regression models adjusted for age and sex; outcome models were additionally adjusted for baseline symptom level. Benjamini-Hochberg with a false discovery rate (FDR) of 5% was used to control for multiple analyses.\n\nOf the 92 analyzed proteins, 60 had detectable values greater than 50% and were included in the analyses. No associations between preoperative symptom severity and levels of inflammatory proteins remained statistically significant after correction for multiple comparisons (FDR 5%). After adjustment, CST5 showed a significant negative association with postoperative improvement in balance and continence domains (b = -34, q = 0.017 and b = -35, q = 0.026, respectively) but not for outcome in the total iNPH scale. A general trend was observed where higher levels of inflammatory proteins were linked to less favourable outcomes, although these did not remain statistically significant after correction.\n\nCST5 emerged as the only protein significantly associated with postoperative improvement after shunt surgery, suggesting a potential role in iNPH pathophysiology. Furthermore, no associations were observed between preoperative symptom severity and levels of inflammatory CSF proteins.\n\nThe online version contains supplementary material available at 10.1186/s12987-025-00751-9.", "doi": "10.1186/s12987-025-00751-9", "pmid": "41501840", "labels": {"Bioinformatics (NBIS)": "Collaborative", "Bioinformatics Support and Infrastructure": "Collaborative", "Bioinformatics Support, Infrastructure and Training": "Collaborative"}, "xrefs": [{"db": "pmc", "key": "PMC12784546"}, {"db": "pii", "key": "10.1186/s12987-025-00751-9"}], "notes": [], "created": "2026-02-10T10:00:00.564Z", "modified": "2026-03-24T09:15:02.947Z"}, {"entity": "publication", "iuid": "8f8dca39f51246e399479b7a8829b62d", "links": {"self": {"href": "https://publications.scilifelab.se/publication/8f8dca39f51246e399479b7a8829b62d.json"}, "display": {"href": "https://publications.scilifelab.se/publication/8f8dca39f51246e399479b7a8829b62d"}}, "title": "Plasma protein profiling predicts cancer in patients with non-specific symptoms.", "authors": [{"family": "Wannberg", "given": "Fredrika", "initials": "F", "orcid": "0009-0001-8505-3122", "researcher": {"href": "https://publications.scilifelab.se/researcher/15572474779e45a7a64e439cca882a73.json"}}, {"family": "\u00c1lvez", "given": "Mar\u00eda Bueno", "initials": "MB", "orcid": "0000-0002-2669-7796", "researcher": {"href": "https://publications.scilifelab.se/researcher/b6a18cc0ce34429a91758206cedb5d60.json"}}, {"family": "Qvick", "given": "Alvida", "initials": "A", "orcid": "0000-0001-6688-947X", "researcher": {"href": "https://publications.scilifelab.se/researcher/e4be159eaa724d22982b7b1e24e9ba79.json"}}, {"family": "Pongracz", "given": "Tamas", "initials": "T", "orcid": "0000-0002-8089-4352", "researcher": {"href": "https://publications.scilifelab.se/researcher/0bdf2f1b85954a1b872b59339838fa57.json"}}, {"family": "Aguilera", "given": "Katherina", "initials": "K"}, {"family": "Adolfsson", "given": "Emma", "initials": "E", "orcid": "0000-0002-7954-0696", "researcher": {"href": "https://publications.scilifelab.se/researcher/9c790fe832ec4bf68608578c0c9d4552.json"}}, {"family": "Essehorn", "given": "Louise", "initials": "L"}, {"family": "Gordon", "given": "Max", "initials": "M", "orcid": "0000-0002-8080-5815", "researcher": {"href": "https://publications.scilifelab.se/researcher/e3f1f5ca4e2a4f17bf9454cd7b5a259d.json"}}, {"family": "Uhl\u00e9n", "given": "Mathias", "initials": "M", "orcid": "0000-0002-4858-8056", "researcher": {"href": "https://publications.scilifelab.se/researcher/ff81da3cb0cf4262873b993a1b06798c.json"}}, {"family": "Helenius", "given": "Gisela", "initials": "G"}, {"family": "Hjalmar", "given": "Viktoria", "initials": "V"}, {"family": "\u00c5berg", "given": "Mikael", "initials": "M", "orcid": "0000-0002-7858-8233", "researcher": {"href": "https://publications.scilifelab.se/researcher/90fa86e9aeaa43ea9547e48b4f3f24e3.json"}}, {"family": "Rosell", "given": "Axel", "initials": "A", "orcid": "0000-0001-6280-0562", "researcher": {"href": "https://publications.scilifelab.se/researcher/bcddaba7a96a406b994756ab71427baf.json"}}, {"family": "Th\u00e5lin", "given": "Charlotte", "initials": "C", "orcid": "0009-0008-9471-3234", "researcher": {"href": "https://publications.scilifelab.se/researcher/6a1c3368c5314543bb4b2204f2938159.json"}}], "type": "journal article", "published": "2025-12-29", "journal": {"title": "Nat Commun", "issn": "2041-1723", "volume": "17", "issue": "1", "pages": "151", "issn-l": "2041-1723"}, "abstract": "Cancer detection is challenging, especially in patients with diffuse symptoms that overlap with non-malignant conditions. Here we show that plasma protein profiling can identify cancer among patients with non-specific symptoms. Using proximity extension assay-based proteomics of 1463 plasma proteins from 456 patients presenting with non-specific symptoms sampled prior to cancer diagnostic work-up and diagnosis, we identify 29 proteins associated with new cancer diagnoses. We develop a model able to stratify 160 cancer cases and 296 non-cancer cases with an area under the curve of 0.80, maintaining performance (0.82) in an independent replication cohort of 238 patients. The model also distinguishes cancer from autoimmune, inflammatory and infectious diseases. Designed as a triage tool, our model based on a blood test could help prioritize patients at higher cancer risk for rapid and highly sensitive diagnostic modalities such as positron emission tomography-computed tomography. These findings emphasize the potential of blood proteome profiling to support timely diagnosis and transform clinical medicine.", "doi": "10.1038/s41467-025-67688-3", "pmid": "41457066", "labels": {"Affinity Proteomics Uppsala": "Collaborative", "Clinical Genomics": "Collaborative", "Clinical Genomics \u00d6rebro": "Collaborative"}, "xrefs": [{"db": "pmc", "key": "PMC12774938"}, {"db": "pii", "key": "10.1038/s41467-025-67688-3"}], "notes": [], "created": "2026-01-09T16:47:14.250Z", "modified": "2026-03-05T09:10:04.784Z"}, {"entity": "publication", "iuid": "52e091fbbc604aaab3844a78dc652c29", "links": {"self": {"href": "https://publications.scilifelab.se/publication/52e091fbbc604aaab3844a78dc652c29.json"}, "display": {"href": "https://publications.scilifelab.se/publication/52e091fbbc604aaab3844a78dc652c29"}}, "title": "Mapping Interactions Between Cytokines, Chemokines, Growth Factors, and Conventional Biomarkers in COVID-19 ICU-Patients", "authors": [{"family": "Eriksson", "given": "Mats B", "initials": "MB", "orcid": "0000-0002-3178-4210", "researcher": {"href": "https://publications.scilifelab.se/researcher/cfcf6caaeeea422997c259d802e7e6f8.json"}}, {"family": "Marks-Hultstr\u00f6m", "given": "Michael", "initials": "M", "orcid": "0000-0003-4675-1099", "researcher": {"href": "https://publications.scilifelab.se/researcher/c9a74d3380a24c31930e6e671e685b5b.json"}}, {"family": "\u00c5berg", "given": "Mikael", "initials": "M", "orcid": "0000-0002-7858-8233", "researcher": {"href": "https://publications.scilifelab.se/researcher/90fa86e9aeaa43ea9547e48b4f3f24e3.json"}}, {"family": "Lipcsey", "given": "Mikl\u00f3s", "initials": "M", "orcid": "0000-0002-1976-4129", "researcher": {"href": "https://publications.scilifelab.se/researcher/81805f2324634628abefcf0ab6ce6a15.json"}}, {"family": "Frithiof", "given": "Robert", "initials": "R", "orcid": "0000-0003-2278-7951", "researcher": {"href": "https://publications.scilifelab.se/researcher/8fec11dd18f941b7842610ad14237a35.json"}}, {"family": "Larsson", "given": "Anders O", "initials": "AO", "orcid": "0000-0003-3161-0402", "researcher": {"href": "https://publications.scilifelab.se/researcher/2276de26382b402aa384ac231f30f156.json"}}], "type": "journal-article", "published": "2025-11-26", "journal": {"title": "Int J Mol Sci", "issn": "1422-0067", "volume": "26", "issue": "23", "pages": "11419", "issn-l": null}, "abstract": null, "doi": "10.3390/ijms262311419", "pmid": null, "labels": {"Affinity Proteomics Uppsala": "Collaborative"}, "xrefs": [], "notes": [], "created": "2025-11-26T13:51:26.247Z", "modified": "2025-11-26T13:51:37.193Z"}, {"entity": "publication", "iuid": "f3a1b1396edb4101b0575fbc43ec7415", "links": {"self": {"href": "https://publications.scilifelab.se/publication/f3a1b1396edb4101b0575fbc43ec7415.json"}, "display": {"href": "https://publications.scilifelab.se/publication/f3a1b1396edb4101b0575fbc43ec7415"}}, "title": "Comparative evaluation of Olink Explore 3072 and mass spectrometry with peptide fractionation for plasma proteomics.", "authors": [{"family": "Sissala", "given": "Noora", "initials": "N", "orcid": "0009-0000-0758-8140", "researcher": {"href": "https://publications.scilifelab.se/researcher/3a96666a6a2e478fbdd3cf33d7db1e74.json"}}, {"family": "Baba\u010di\u0107", "given": "Haris", "initials": "H", "orcid": "0000-0003-0813-0005", "researcher": {"href": "https://publications.scilifelab.se/researcher/45a1c5d3d2d34a9e96d112877632784c.json"}}, {"family": "Leo", "given": "Isabelle R", "initials": "IR", "orcid": "0000-0002-7627-6690", "researcher": {"href": "https://publications.scilifelab.se/researcher/21185d9c6a2343f189397cbbb95c6e71.json"}}, {"family": "Cao", "given": "Xiaofang", "initials": "X"}, {"family": "Forshed", "given": "Jenny", "initials": "J"}, {"family": "Eriksson", "given": "Lars E", "initials": "LE", "orcid": "0000-0001-5121-5325", "researcher": {"href": "https://publications.scilifelab.se/researcher/ebb717a9972245a5b2427a4b8421fe6f.json"}}, {"family": "Lehti\u00f6", "given": "Janne", "initials": "J", "orcid": "0000-0002-8100-9562", "researcher": {"href": "https://publications.scilifelab.se/researcher/8406a97bac744a59b1bc951978994581.json"}}, {"family": "Fredolini", "given": "Claudia", "initials": "C", "orcid": "0000-0002-7674-2014", "researcher": {"href": "https://publications.scilifelab.se/researcher/40ac3a5823cb4f998cc8bdb96dcbf195.json"}}, {"family": "\u00c5berg", "given": "Mikael", "initials": "M", "orcid": "0000-0002-7858-8233", "researcher": {"href": "https://publications.scilifelab.se/researcher/90fa86e9aeaa43ea9547e48b4f3f24e3.json"}}, {"family": "Pernemalm", "given": "Maria", "initials": "M", "orcid": "0000-0003-4624-031X", "researcher": {"href": "https://publications.scilifelab.se/researcher/f15f303cb2044cfa81719700137e3603.json"}}], "type": "journal article", "published": "2025-11-04", "journal": {"title": "Commun Chem", "issn": "2399-3669", "issn-l": null, "volume": "8", "issue": "1", "pages": "327"}, "abstract": "Plasma proteomics technologies are advancing rapidly, offering new opportunities for biomarker discovery and precision medicine. Direct comparisons of available technologies are needed to understand how platform selection affects downstream findings. We compared the performance of a peptide fractionation-based mass spectrometry method (HiRIEF LC-MS/MS) and the Olink Explore 3072 proximity extension assays on 88 plasma samples, analyzing 1129 proteins with both methods. The platforms exhibited complementary proteome coverage, high precision, and concordance in estimating sex differences in protein levels. Quantitative agreement between platforms was moderate (median correlation 0.59, interquartile range 0.33-0.75), mainly influenced by technical factors. Finally, we present a publicly available tool for peptide-level analysis of platform agreement and demonstrate its utility in clarifying cross-platform discrepancies in protein and proteoform measurements. Our findings provide insights for platform selection and study design, and highlight the value of combining mass spectrometry and affinity-based approaches for more comprehensive and reliable plasma proteome profiling.", "doi": "10.1038/s42004-025-01753-2", "pmid": "41188494", "labels": {"National Genomics Infrastructure": "Service", "NGI Proteomics": "Service", "NGI Uppsala (SNP&SEQ Technology Platform)": "Service", "Affinity Proteomics Stockholm": "Collaborative", "Affinity Proteomics Uppsala": "Collaborative", "Global Proteomics and Proteogenomics": "Service"}, "xrefs": [{"db": "pmc", "key": "PMC12586489"}, {"db": "pii", "key": "10.1038/s42004-025-01753-2"}], "notes": [], "created": "2025-11-07T07:35:27.214Z", "modified": "2025-11-27T13:03:30.885Z"}, {"entity": "publication", "iuid": "20400326c0944ebda6e786a24f339e26", "links": {"self": {"href": "https://publications.scilifelab.se/publication/20400326c0944ebda6e786a24f339e26.json"}, "display": {"href": "https://publications.scilifelab.se/publication/20400326c0944ebda6e786a24f339e26"}}, "title": "A human pan-disease blood atlas of the circulating proteome.", "authors": [{"family": "\u00c1lvez", "given": "Mar\u00eda Bueno", "initials": "MB", "orcid": "0000-0002-2669-7796", "researcher": {"href": "https://publications.scilifelab.se/researcher/b6a18cc0ce34429a91758206cedb5d60.json"}}, {"family": "Bergstr\u00f6m", "given": "Sofia", "initials": "S", "orcid": "0000-0003-2910-4754", "researcher": {"href": "https://publications.scilifelab.se/researcher/648c9ed3483a4eb8a1d228cf7e59f6a7.json"}}, {"family": "Kenrick", "given": "Josefin", "initials": "J", "orcid": "0000-0002-0110-5192", "researcher": {"href": "https://publications.scilifelab.se/researcher/b83beb37b7bc4e0aa84106bea7c6e0d0.json"}}, {"family": "Johansson", "given": "Emil", "initials": "E", "orcid": "0009-0003-1250-0678", "researcher": {"href": "https://publications.scilifelab.se/researcher/5d953dd65ab24e8ab08aee7e7f101702.json"}}, {"family": "\u00c5berg", "given": "Mikael", "initials": "M", "orcid": "0000-0002-7858-8233", "researcher": {"href": "https://publications.scilifelab.se/researcher/90fa86e9aeaa43ea9547e48b4f3f24e3.json"}}, {"family": "Akyildiz", "given": "Murat", "initials": "M", "orcid": "0000-0002-2080-7528", "researcher": {"href": "https://publications.scilifelab.se/researcher/439d9835321449e4811478ad27c82a99.json"}}, {"family": "Altay", "given": "Ozlem", "initials": "O"}, {"family": "Sk\u00f6ld", "given": "Hilda", "initials": "H", "orcid": "0009-0004-0961-4006", "researcher": {"href": "https://publications.scilifelab.se/researcher/bef5a1edbcab4c3286df2e2652d6f931.json"}}, {"family": "Antonopoulos", "given": "Konstantinos", "initials": "K", "orcid": "0000-0003-2781-3872", "researcher": {"href": "https://publications.scilifelab.se/researcher/cfd9fba645e64087a41f3bc7c3d35239.json"}}, {"family": "Apostolakis", "given": "Emmanouil", "initials": "E", "orcid": "0009-0003-6873-174X", "researcher": {"href": "https://publications.scilifelab.se/researcher/419cb52646134fe2bde5d6d700845708.json"}}, {"family": "Balcioglu", "given": "Yasin Hasan", "initials": "YH", "orcid": "0000-0002-1336-1724", "researcher": {"href": "https://publications.scilifelab.se/researcher/c4e7f3fd813e432b9a3e604a2cc26832.json"}}, {"family": "Bergstr\u00f6m", "given": "Anna", "initials": "A", "orcid": "0000-0002-7981-6314", "researcher": {"href": "https://publications.scilifelab.se/researcher/70d058e4d5bc49d7a3c958950c9d4e6d.json"}}, {"family": "Bergstr\u00f6m", "given": "G\u00f6ran", "initials": "G", "orcid": "0000-0003-4289-5722", "researcher": {"href": "https://publications.scilifelab.se/researcher/fbc3ade3079e4265ad42ed1be485bc24.json"}}, {"family": "Bj\u00f6rkander", "given": "Sophia", "initials": "S"}, {"family": "Brage", "given": "Suzanne Egyhazi", "initials": "SE"}, {"family": "Brodin", "given": "Petter", "initials": "P", "orcid": "0000-0002-8103-0046", "researcher": {"href": "https://publications.scilifelab.se/researcher/40097353cdb24e52bf2330eb687042bf.json"}}, {"family": "Butler", "given": "Lynn", "initials": "L", "orcid": "0000-0002-2352-8217", "researcher": {"href": "https://publications.scilifelab.se/researcher/069263856386498c8262acf10587177c.json"}}, {"family": "Cajander", "given": "Sara", "initials": "S", "orcid": "0000-0003-3921-4244", "researcher": {"href": "https://publications.scilifelab.se/researcher/43cda9fcbe7141c9aa28d349176d21c8.json"}}, {"family": "Danielsson", "given": "Hanna", "initials": "H", "orcid": "0000-0001-6959-7704", "researcher": {"href": "https://publications.scilifelab.se/researcher/32e346ce0d514179baea3c97b615e665.json"}}, {"family": "Dayangac", "given": "Murat", "initials": "M", "orcid": "0000-0002-1240-7233", "researcher": {"href": "https://publications.scilifelab.se/researcher/a72ffcb2d31744c3ac1c4e5f2221be09.json"}}, {"family": "Dinler-Doganay", "given": "Gizem", "initials": "G", "orcid": "0000-0002-3586-1287", 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"initials": "C", "orcid": "0000-0002-3721-8586", "researcher": {"href": "https://publications.scilifelab.se/researcher/d1b9559ac41749fa91c4025108947e13.json"}}, {"family": "Zhong", "given": "Wen", "initials": "W", "orcid": "0000-0002-7422-6104", "researcher": {"href": "https://publications.scilifelab.se/researcher/a82c3b7da3b8472392d39ca5f6d5bedb.json"}}, {"family": "Zwahlen", "given": "Martin", "initials": "M", "orcid": "0000-0002-0064-4776", "researcher": {"href": "https://publications.scilifelab.se/researcher/04fb4e913dfb47b9bee48531db50d64c.json"}}, {"family": "von Feilitzen", "given": "Kalle", "initials": "K", "orcid": "0000-0002-0257-7554", "researcher": {"href": "https://publications.scilifelab.se/researcher/9f1e309f8d9247458c59e2ecfbd0c079.json"}}, {"family": "Nilsson", "given": "Peter", "initials": "P", "orcid": "0000-0002-4657-8532", "researcher": {"href": "https://publications.scilifelab.se/researcher/799bcf1cf8cf451296f4535dd4ca9dc0.json"}}, {"family": "Edfors", "given": "Fredrik", "initials": "F", "orcid": "0000-0002-0017-7987", "researcher": {"href": "https://publications.scilifelab.se/researcher/3f0e8af0b9144bcd9fd566d316008a62.json"}}, {"family": "Uhl\u00e9n", "given": "Mathias", "initials": "M", "orcid": "0000-0002-4858-8056", "researcher": {"href": "https://publications.scilifelab.se/researcher/ff81da3cb0cf4262873b993a1b06798c.json"}}], "type": "journal article", "published": "2025-10-09", "journal": {"title": "Science", "issn": "1095-9203", "issn-l": "0036-8075", "volume": null, "issue": null, "pages": "eadx2678"}, "abstract": "The human blood proteome provides a holistic readout of health states through the assessment of thousands of circulating proteins. Here, we present a pan-disease resource to enable the study of diverse disease phenotypes within a harmonized proteomics dataset. By profiling protein concentrations across 59 diseases and healthy cohorts, we identified proteins associated with age, sex, and BMI, as well as disease-specific signatures. This study highlights shared and distinct protein patterns across conditions, demonstrating the power of a unified proteomics approach to uncover biological insights. The dataset, covering 8,262 individuals and up to 5,416 proteins, serves as an online resource for exploring disease-specific protein profiles and advancing precision medicine research.", "doi": "10.1126/science.adx2678", "pmid": "41066540", "labels": {"Autoimmunity and Serology Profiling": "Service", "National Genomics Infrastructure": "Collaborative", "NGI Proteomics": "Collaborative", "NGI Uppsala (SNP&SEQ Technology Platform)": "Collaborative", "Affinity Proteomics Uppsala": "Collaborative"}, "xrefs": [], "notes": [], "created": "2025-10-10T10:37:22.942Z", "modified": "2025-11-07T07:45:07.446Z"}, {"entity": "publication", "iuid": "3b2a02d67f144ff88bea2f6a5a15421b", "links": {"self": {"href": "https://publications.scilifelab.se/publication/3b2a02d67f144ff88bea2f6a5a15421b.json"}, "display": {"href": "https://publications.scilifelab.se/publication/3b2a02d67f144ff88bea2f6a5a15421b"}}, "title": "Proteomic signatures for fibrosis in MASLD: a biopsy-proven dual-cohort study.", "authors": [{"family": "Blomdahl", "given": "Julia", "initials": "J", "orcid": "0000-0002-6364-8758", "researcher": {"href": "https://publications.scilifelab.se/researcher/73da360e98674266bec90264c3063c69.json"}}, {"family": "\u00c5berg", "given": "Mikael", "initials": "M", "orcid": "0000-0002-7858-8233", "researcher": {"href": "https://publications.scilifelab.se/researcher/90fa86e9aeaa43ea9547e48b4f3f24e3.json"}}, {"family": "Frid\u00e9n", "given": "Michael", "initials": "M", "orcid": "0000-0002-6545-4439", "researcher": {"href": "https://publications.scilifelab.se/researcher/51e5a97ff89243cdb1bacc10c258638d.json"}}, {"family": "Ahlstr\u00f6m", "given": "H\u00e5kan", "initials": "H", "orcid": "0000-0002-8701-969X", "researcher": {"href": "https://publications.scilifelab.se/researcher/53e4a209929642ceaadf3e0aed6b8c69.json"}}, {"family": "Hockings", "given": "Paul", "initials": "P", "orcid": "0000-0002-7154-9047", "researcher": {"href": "https://publications.scilifelab.se/researcher/9361c9d64c2441d1b2466093a328a1dc.json"}}, {"family": "Hulthe", "given": "Johannes", "initials": "J"}, {"family": "Eriksson", "given": "Niclas", "initials": "N", "orcid": "0000-0002-2152-4343", "researcher": {"href": "https://publications.scilifelab.se/researcher/64611a83caba46d597f45371b77de26b.json"}}, {"family": "Gabrysch", "given": "Katja", "initials": "K", "orcid": "0009-0003-4234-8814", "researcher": {"href": "https://publications.scilifelab.se/researcher/837ace5843754a7092e87a38c040950c.json"}}, {"family": "Nasr", "given": "Patrik", "initials": "P", "orcid": "0000-0002-2928-4188", "researcher": {"href": "https://publications.scilifelab.se/researcher/9c50e5ee47e24bb1aea2118a99fa870d.json"}}, {"family": "Ris\u00e9rus", "given": "Ulf", "initials": "U", "orcid": "0000-0002-8620-4586", "researcher": {"href": "https://publications.scilifelab.se/researcher/cca577a7bfc942ccbf5284e4b82995f4.json"}}, {"family": "Kechagias", "given": "Stergios", "initials": "S", "orcid": "0000-0001-7614-739X", "researcher": {"href": "https://publications.scilifelab.se/researcher/0c68083028c74ec19620787550e769b5.json"}}, {"family": "Rorsman", "given": "Fredrik", "initials": "F", "orcid": "0000-0003-4023-9617", "researcher": {"href": "https://publications.scilifelab.se/researcher/5fa2976e78ac4486a4edaef33f144d7d.json"}}, {"family": "Ekstedt", "given": "Mattias", "initials": "M", "orcid": "0000-0002-5590-8601", "researcher": {"href": "https://publications.scilifelab.se/researcher/423ba88447d045acb91cf6578a848299.json"}}, {"family": "Vessby", "given": "Johan", "initials": "J", "orcid": "0000-0003-1832-6386", "researcher": {"href": "https://publications.scilifelab.se/researcher/aa93020464454653b142d9951e23a0bb.json"}}], "type": "journal article", "published": "2025-06-00", "journal": {"title": "Scand. J. Gastroenterol.", "issn": "1502-7708", "volume": "60", "issue": "6", "pages": "597-605", "issn-l": "0036-5521"}, "abstract": "Predicting disease progression in metabolic dysfunction-associated steatotic liver disease (MASLD) is challenging, and current non-invasive tests (NITs) lack the precision to replace liver biopsy. This study aimed to identify plasma biomarkers for different stages of fibrosis using affinity-based proteomics in two biopsy-proven cohorts. The primary objective was to identify biomarkers capable of distinguishing between low-to-no fibrosis (F0-1) and significant fibrosis (F2-4) in MASLD.\n\nParticipants in the discovery cohort were recruited from Uppsala University Hospital and Swedish CArdioPulmonary bioImage Study (SCAPIS), while the validation cohort was included from Link\u00f6ping University Hospital. All participants diagnosed with MASLD underwent liver biopsy and were categorized by fibrosis stage (F0-1 or F2-4). A total of 276 plasma proteins were analyzed using Olink\u00ae panels, with biomarkers identified through ordinal logistic regression, random forest (RF) analysis and the Boruta algorithm.\n\nThe discovery cohort included 60 participants, with 60% having fibrosis stage F0-1 and 40% having F2-4. The validation cohort had 59 participants, of whom 35 had fibrosis stage F0-1 (59.3%) and 24 had stage F2-4 (40.7%). Five biomarkers were significantly associated with fibrosis stage in the discovery cohort, with four confirmed in the validation cohort. A model combining angiotensin converting enzyme-2 (ACE2), hepatocyte growth factor (HGF) and insulin-like growth factor-binding protein-7 (IGFBP-7) demonstrated strong predictive performance for significant fibrosis (c-statistics 0.82-0.83), outperforming fibrosis-4 (FIB-4) (c-statistics 0.61-0.72).\n\nA biomarker model including ACE2, HGF and IGFBP7 shows promise in distinguishing between low-stage and significant fibrosis.", "doi": "10.1080/00365521.2025.2490996", "pmid": "40237197", "labels": {"Affinity Proteomics Uppsala": "Collaborative"}, "xrefs": [], "notes": [], "created": "2025-11-25T19:16:23.507Z", "modified": "2025-11-25T19:19:33.192Z"}, {"entity": "publication", "iuid": "bd7e4686333d489495edae6e2cb9e54a", "links": {"self": {"href": "https://publications.scilifelab.se/publication/bd7e4686333d489495edae6e2cb9e54a.json"}, "display": {"href": "https://publications.scilifelab.se/publication/bd7e4686333d489495edae6e2cb9e54a"}}, "title": "Next generation pan-cancer blood proteome profiling using proximity extension assay.", "authors": [{"family": "\u00c1lvez", "given": "Mar\u00eda Bueno", "initials": "MB", "orcid": "0000-0002-2669-7796", "researcher": {"href": "https://publications.scilifelab.se/researcher/b6a18cc0ce34429a91758206cedb5d60.json"}}, {"family": "Edfors", "given": "Fredrik", "initials": "F", "orcid": "0000-0002-0017-7987", "researcher": {"href": "https://publications.scilifelab.se/researcher/3f0e8af0b9144bcd9fd566d316008a62.json"}}, {"family": "von Feilitzen", "given": "Kalle", "initials": "K", "orcid": "0000-0002-0257-7554", "researcher": {"href": "https://publications.scilifelab.se/researcher/9f1e309f8d9247458c59e2ecfbd0c079.json"}}, {"family": "Zwahlen", "given": "Martin", "initials": "M", "orcid": "0000-0002-0064-4776", "researcher": {"href": "https://publications.scilifelab.se/researcher/04fb4e913dfb47b9bee48531db50d64c.json"}}, {"family": "Mardinoglu", "given": "Adil", "initials": "A", "orcid": "0000-0002-4254-6090", "researcher": {"href": "https://publications.scilifelab.se/researcher/da756265658c4ed2a8911644583e07a3.json"}}, {"family": "Edqvist", "given": "Per-Henrik", "initials": "PH", "orcid": "0000-0002-8330-0134", "researcher": {"href": "https://publications.scilifelab.se/researcher/dd5ff31463cd4345a1fc8351e797ac7f.json"}}, {"family": "Sj\u00f6blom", "given": "Tobias", "initials": "T", "orcid": "0000-0001-6668-4140", "researcher": {"href": "https://publications.scilifelab.se/researcher/909f00a5bf6e465f9ff560b12bcd863a.json"}}, {"family": "Lundin", "given": "Emma", "initials": "E", "orcid": "0009-0000-7711-1962", "researcher": {"href": "https://publications.scilifelab.se/researcher/06761839da88443e9098d9562810fb7f.json"}}, {"family": "Rameika", "given": "Natallia", "initials": "N", "orcid": "0000-0002-7835-4357", "researcher": {"href": "https://publications.scilifelab.se/researcher/8a1b2d0ce6ea452b82a35c603a073eb1.json"}}, {"family": "Enblad", "given": "Gunilla", "initials": "G", "orcid": "0000-0002-0594-724X", "researcher": {"href": "https://publications.scilifelab.se/researcher/11313af3f4a241ecb93af23ab2652195.json"}}, {"family": "Lindman", "given": "Henrik", "initials": "H"}, {"family": "H\u00f6glund", "given": "Martin", "initials": "M", "orcid": "0000-0003-2468-0226", "researcher": {"href": "https://publications.scilifelab.se/researcher/8717164448ee4e2797fefd365103ddc8.json"}}, {"family": "Hesselager", "given": "G\u00f6ran", "initials": "G", "orcid": "0000-0001-9613-1344", "researcher": {"href": "https://publications.scilifelab.se/researcher/978fc6fea7d54f5b81a8b5a87efa083a.json"}}, {"family": "St\u00e5lberg", "given": "Karin", "initials": "K", "orcid": "0000-0001-5527-8796", "researcher": {"href": "https://publications.scilifelab.se/researcher/47a9c8e243994dccb4730266b0431d6d.json"}}, {"family": "Enblad", "given": "Malin", "initials": "M", "orcid": "0000-0001-5900-0900", "researcher": {"href": "https://publications.scilifelab.se/researcher/1e801966db544e6286fb2b4037980dba.json"}}, {"family": "Simonson", "given": "Oscar E", "initials": "OE", "orcid": "0000-0002-3552-5558", "researcher": {"href": "https://publications.scilifelab.se/researcher/0a52b4426da84787aeb56b8d6232ba87.json"}}, {"family": "H\u00e4ggman", "given": "Michael", "initials": "M"}, {"family": "Axelsson", "given": "Tomas", "initials": "T"}, {"family": "\u00c5berg", "given": "Mikael", "initials": "M", "orcid": "0000-0002-7858-8233", "researcher": {"href": "https://publications.scilifelab.se/researcher/90fa86e9aeaa43ea9547e48b4f3f24e3.json"}}, {"family": "Nordlund", "given": "Jessica", "initials": "J", "orcid": "0000-0001-8699-9959", "researcher": {"href": "https://publications.scilifelab.se/researcher/ddf48c9262134821bcc6ce1180049753.json"}}, {"family": "Zhong", "given": "Wen", "initials": "W", "orcid": "0000-0002-7422-6104", "researcher": {"href": "https://publications.scilifelab.se/researcher/a82c3b7da3b8472392d39ca5f6d5bedb.json"}}, {"family": "Karlsson", "given": "Max", "initials": "M", "orcid": "0000-0002-7000-4416", "researcher": {"href": "https://publications.scilifelab.se/researcher/6e1bd9a99e5648c3998c6e0106a07fbc.json"}}, {"family": "Gyllensten", "given": "Ulf", "initials": "U", "orcid": "0000-0002-6316-3355", "researcher": {"href": "https://publications.scilifelab.se/researcher/e8739f0f42c44019ab88a49db350a4f2.json"}}, {"family": "Ponten", "given": "Fredrik", "initials": "F", "orcid": "0000-0003-0703-3940", "researcher": {"href": "https://publications.scilifelab.se/researcher/a8b56979a6c74891aa277fb28848b6ce.json"}}, {"family": "Fagerberg", "given": "Linn", "initials": "L", "orcid": "0000-0003-0198-7137", "researcher": {"href": "https://publications.scilifelab.se/researcher/e8db0663a10a4d9e9241457609d5952e.json"}}, {"family": "Uhl\u00e9n", "given": "Mathias", "initials": "M", "orcid": "0000-0002-4858-8056", "researcher": {"href": "https://publications.scilifelab.se/researcher/ff81da3cb0cf4262873b993a1b06798c.json"}}], "type": "journal article", "published": "2023-07-18", "journal": {"title": "Nat Commun", "issn": "2041-1723", "issn-l": "2041-1723", "volume": "14", "issue": "1", "pages": "4308"}, "abstract": "A comprehensive characterization of blood proteome profiles in cancer patients can contribute to a better understanding of the disease etiology, resulting in earlier diagnosis, risk stratification and better monitoring of the different cancer subtypes. Here, we describe the use of next generation protein profiling to explore the proteome signature in blood across patients representing many of the major cancer types. Plasma profiles of 1463 proteins from more than 1400 cancer patients are measured in minute amounts of blood collected at the time of diagnosis and before treatment. An open access Disease Blood Atlas resource allows the exploration of the individual protein profiles in blood collected from the individual cancer patients. We also present studies in which classification models based on machine learning have been used for the identification of a set of proteins associated with each of the analyzed cancers. The implication for cancer precision medicine of next generation plasma profiling is discussed.", "doi": "10.1038/s41467-023-39765-y", "pmid": "37463882", "labels": {"Affinity Proteomics Uppsala": "Collaborative", "NGI Proteomics": "Collaborative", "NGI Uppsala (SNP&SEQ Technology Platform)": "Collaborative", "National Genomics Infrastructure": "Collaborative", "Bioinformatics Support for Computational Resources": "Service"}, "xrefs": [{"db": "pmc", "key": "PMC10354027"}, {"db": "pii", "key": "10.1038/s41467-023-39765-y"}], "notes": [], "created": "2023-11-29T19:16:18.991Z", "modified": "2024-01-16T13:48:32.880Z"}, {"entity": "publication", "iuid": "662e6300d57a45818e6a52bf43aa890a", "links": {"self": {"href": "https://publications.scilifelab.se/publication/662e6300d57a45818e6a52bf43aa890a.json"}, "display": {"href": "https://publications.scilifelab.se/publication/662e6300d57a45818e6a52bf43aa890a"}}, "title": "Robust humoral and cellular immune responses and low risk for reinfection at least 8 months following asymptomatic to mild COVID-19.", "authors": [{"family": "Havervall", "given": "Sebastian", "initials": "S", "orcid": "0000-0003-1671-8183", "researcher": {"href": "https://publications.scilifelab.se/researcher/dbd194b3cef64f9f9341fd163a035235.json"}}, {"family": "Ng", "given": "Henry", "initials": "H", "orcid": "0000-0003-2873-9088", "researcher": {"href": "https://publications.scilifelab.se/researcher/5fcb12c664a64724b5cd42a1267a5bea.json"}}, {"family": "Jernbom Falk", "given": "August", "initials": "A", "orcid": "0000-0002-7773-1851", "researcher": {"href": "https://publications.scilifelab.se/researcher/fe6400bde68b46899515cef5bea05fca.json"}}, {"family": "Greilert-Norin", "given": "Nina", "initials": "N", "orcid": "0000-0003-1492-9745", "researcher": {"href": "https://publications.scilifelab.se/researcher/cd0c03be884e4ae8840d0e0d04c411dd.json"}}, {"family": "M\u00e5nberg", "given": "Anna", "initials": "A", "orcid": "0000-0002-0056-1313", "researcher": {"href": "https://publications.scilifelab.se/researcher/6d155273b5b54e61b773f263e4f2ce9b.json"}}, {"family": "Marking", "given": "Ulrika", "initials": "U"}, {"family": "Laur\u00e9n", "given": "Ida", "initials": "I"}, {"family": "Gabrielsson", "given": "Lena", "initials": "L"}, {"family": "Salomonsson", "given": "Ann-Christin", "initials": "AC"}, {"family": "Aguilera", "given": "Katherina", "initials": "K"}, {"family": "Kihlgren", "given": "Martha", "initials": "M"}, {"family": "M\u00e5nsson", "given": "Maja", "initials": "M"}, {"family": "Rosell", "given": "Axel", "initials": "A", "orcid": "0000-0001-6280-0562", "researcher": {"href": "https://publications.scilifelab.se/researcher/bcddaba7a96a406b994756ab71427baf.json"}}, {"family": "Hellstr\u00f6m", "given": "Cecilia", "initials": "C", "orcid": "0000-0003-0880-5375", "researcher": {"href": "https://publications.scilifelab.se/researcher/dbf3f75938f0442a9b1ae5c98565f44a.json"}}, {"family": "Andersson", "given": "Eni", "initials": "E"}, {"family": "Olofsson", "given": "Jennie", "initials": "J", "orcid": "0000-0002-8593-9089", "researcher": {"href": "https://publications.scilifelab.se/researcher/d2b59febdeec4df99bf3a0d5480df305.json"}}, {"family": "Skoglund", "given": "Lovisa", "initials": "L"}, {"family": "Yousef", "given": "Jamil", "initials": "J", "orcid": "0000-0001-5915-1258", "researcher": {"href": "https://publications.scilifelab.se/researcher/86be17c932614797a876bb55c7ce566e.json"}}, {"family": "Pin", "given": "Elisa", "initials": "E", "orcid": "0000-0002-2158-2674", "researcher": {"href": "https://publications.scilifelab.se/researcher/ccb4db02b9784587b62020716ab87247.json"}}, {"family": "Lord", "given": "Martin", "initials": "M", "orcid": "0000-0002-3238-3187", "researcher": {"href": "https://publications.scilifelab.se/researcher/3e14847c142f4c359f2d531601436897.json"}}, {"family": "\u00c5berg", "given": "Mikael", "initials": "M", "orcid": "0000-0002-7858-8233", "researcher": {"href": "https://publications.scilifelab.se/researcher/90fa86e9aeaa43ea9547e48b4f3f24e3.json"}}, {"family": "Hedhammar", "given": "My", "initials": "M"}, {"family": "Tegel", "given": "Hanna", "initials": "H"}, {"family": "D\u00f6nnes", "given": "Pierre", "initials": "P", "orcid": "0000-0002-4613-2952", "researcher": {"href": "https://publications.scilifelab.se/researcher/56d32d60f9b547be8096c448fc013246.json"}}, {"family": "Phillipson", "given": "Mia", "initials": "M", "orcid": "0000-0002-2387-0266", "researcher": {"href": "https://publications.scilifelab.se/researcher/1ebf9ffcab3e4a19add4c6dd51b727b1.json"}}, {"family": "Nilsson", "given": "Peter", "initials": "P", "orcid": "0000-0002-4657-8532", "researcher": {"href": "https://publications.scilifelab.se/researcher/799bcf1cf8cf451296f4535dd4ca9dc0.json"}}, {"family": "Klingstr\u00f6m", "given": "Jonas", "initials": "J", "orcid": "0000-0001-9076-1441", "researcher": {"href": "https://publications.scilifelab.se/researcher/95c1b345ae434fb383b7fe6a1d053c80.json"}}, {"family": "Mangsbo", "given": "Sara", "initials": "S", "orcid": "0000-0002-1355-2678", "researcher": {"href": "https://publications.scilifelab.se/researcher/c743bbcad6554f049c8fc5f64a6801bc.json"}}, {"family": "Hober", "given": "Sophia", "initials": "S", "orcid": "0000-0003-0605-8417", "researcher": {"href": "https://publications.scilifelab.se/researcher/f8dd8ee4264d4e4b912dacad3106f40a.json"}}, {"family": "Th\u00e5lin", "given": "Charlotte", "initials": "C", "orcid": "0000-0002-1345-6491", "researcher": {"href": "https://publications.scilifelab.se/researcher/130fb6ef6b774613a767e98f9f9b2eb4.json"}}], "type": "journal article", "published": "2022-01-00", "journal": {"title": "J. Intern. Med.", "issn": "1365-2796", "issn-l": "0954-6820", "volume": "291", "issue": "1", "pages": "72-80"}, "abstract": "Emerging data support detectable immune responses for months after severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2) infection and vaccination, but it is not yet established to what degree and for how long protection against reinfection lasts.\n\nWe investigated SARS-CoV-2-specific humoral and cellular immune responses more than 8 months post-asymptomatic, mild and severe infection in a cohort of 1884 healthcare workers (HCW) and 51 hospitalized COVID-19 patients. Possible protection against SARS-CoV-2 reinfection was analyzed by a weekly 3-month polymerase chain reaction (PCR) screening of 252 HCW that had seroconverted 7 months prior to start of screening and 48 HCW that had remained seronegative at multiple time points.\n\nAll COVID-19 patients and 96% (355/370) of HCW who were anti-spike IgG positive at inclusion remained anti-spike IgG positive at the 8-month follow-up. Circulating SARS-CoV-2-specific memory T cell responses were detected in 88% (45/51) of COVID-19 patients and in 63% (233/370) of seropositive HCW. The cumulative incidence of PCR-confirmed SARS-CoV-2 infection was 1% (3/252) among anti-spike IgG positive HCW (0.13 cases per 100 weeks at risk) compared to 23% (11/48) among anti-spike IgG negative HCW (2.78 cases per 100 weeks at risk), resulting in a protective effect of 95.2% (95% CI 81.9%-99.1%).\n\nThe vast majority of anti-spike IgG positive individuals remain anti-spike IgG positive for at least 8 months regardless of initial COVID-19 disease severity. The presence of anti-spike IgG antibodies is associated with a substantially reduced risk of reinfection up to 9 months following asymptomatic to mild COVID-19.", "doi": "10.1111/joim.13387", "pmid": "34459525", "labels": {"Autoimmunity and Serology Profiling": "Collaborative", "Affinity Proteomics Uppsala": "Service"}, "xrefs": [{"db": "pmc", "key": "PMC8661920"}], "notes": [], "created": "2021-08-31T10:38:04.811Z", "modified": "2022-12-02T10:46:29.165Z"}, {"entity": "publication", "iuid": "145673a974eb4fefad136c866e0fffef", "links": {"self": {"href": "https://publications.scilifelab.se/publication/145673a974eb4fefad136c866e0fffef.json"}, "display": {"href": "https://publications.scilifelab.se/publication/145673a974eb4fefad136c866e0fffef"}}, "title": "Multiplex protein screening of biomarkers associated with major bleeding in patients with atrial fibrillation treated with oral anticoagulation.", "authors": [{"family": "Siegbahn", "given": "Agneta", "initials": "A"}, {"family": "Lindb\u00e4ck", "given": "Johan", "initials": "J"}, {"family": "Hijazi", "given": "Ziad", "initials": "Z"}, {"family": "\u00c5berg", "given": "Mikael", "initials": "M", "orcid": "0000-0002-7858-8233", "researcher": {"href": "https://publications.scilifelab.se/researcher/90fa86e9aeaa43ea9547e48b4f3f24e3.json"}}, {"family": "Alexander", "given": "John H", "initials": "JH"}, {"family": "Eikelboom", "given": "John W", "initials": "JW"}, {"family": "Lopes", "given": "Renato D", "initials": "RD"}, {"family": "Pol", "given": "Tymon", "initials": "T"}, {"family": "Oldgren", "given": "Jonas", "initials": "J"}, {"family": "Granger", "given": "Christopher B", "initials": "CB"}, {"family": "Yusuf", "given": "Salim", "initials": "S"}, {"family": "Wallentin", "given": "Lars", "initials": "L"}], "type": "journal article", "published": "2021-11-00", "journal": {"title": "J. Thromb. Haemost.", "issn": "1538-7836", "issn-l": null, "volume": "19", "issue": "11", "pages": "2726-2737"}, "abstract": "Oral anticoagulants (OAC) in patients with atrial fibrillation (AF) prevent thromboembolic events, but are associated with significant risk of bleeding.\n\nTo explore associations between a wide range of biomarkers and bleeding risk in patients with AF on OAC.\n\nBiomarkers were analyzed in a random sample of 4200 patients, 204 cases with major bleedings, from ARISTOTLE. The replication cohort included 344 cases with major bleeding and 1024 random controls from RE-LY. Plasma samples obtained at randomization were analyzed by the Olink Proximity Extension Assay cardiovascular and inflammation panels and conventional immunoassays. The associations between biomarker levels and major bleeding over 1 to 3 years of follow-up were evaluated by random survival forest/Boruta analyses and Cox regression analyses to assess linear associations and hazard ratios for identified biomarkers.\n\nOut of 268 proteins, nine biomarkers were independently associated with bleeding in both cohorts. In the replication cohort the linear hazard ratios (95% confidence intervals) per interquartile range were for these biomarkers: TNF-R1 1.748 (1.456, 2.098), GDF-15 1.653 (1.377, 1.985), EphB4 1.575 (1.320, 1.880), suPAR 1.548 (1.294, 1.851), OPN 1.476 (1.240, 1.757), OPG 1.397 (1.156, 1.688), TNF-R2 1.360 (1.144,1.616), cTnT-hs 1.232 (1.067, 1.423), and TRAIL-R2 1.202 (1.069, 1.351).\n\nIn patients with AF on OAC, GDF-15, cTnT-hs, and seven novel biomarkers were independently associated with major bleedings and reflect pathophysiologic processes of inflammation, apoptosis, oxidative stress, vascular calcification, coagulation, and fibrinolysis. Investigations of the utility of these markers to refine risk stratification and guide the management of patients at high risk of bleeding are warranted.", "doi": "10.1111/jth.15498", "pmid": "34390530", "labels": {"Affinity Proteomics Uppsala": "Service"}, "xrefs": [], "notes": [], "created": "2021-12-10T09:09:59.381Z", "modified": "2022-12-02T08:58:59.341Z"}, {"entity": "publication", "iuid": "c1a6d2301da54435a1c59494b1d09e4e", "links": {"self": {"href": "https://publications.scilifelab.se/publication/c1a6d2301da54435a1c59494b1d09e4e.json"}, "display": {"href": "https://publications.scilifelab.se/publication/c1a6d2301da54435a1c59494b1d09e4e"}}, "title": "Plasma proteins associated with cardiovascular death in patients with chronic coronary heart disease: A retrospective study.", "authors": [{"family": "Wallentin", "given": "Lars", "initials": "L", "orcid": "0000-0003-0378-6531", "researcher": {"href": "https://publications.scilifelab.se/researcher/388a76db2e4d423882d1cf2bf6b7d985.json"}}, {"family": "Eriksson", "given": "Niclas", "initials": "N", "orcid": "0000-0002-2152-4343", "researcher": {"href": "https://publications.scilifelab.se/researcher/64611a83caba46d597f45371b77de26b.json"}}, {"family": "Olszowka", "given": "Maciej", "initials": "M", "orcid": "0000-0001-6013-4519", "researcher": {"href": "https://publications.scilifelab.se/researcher/912f23a5cb3d458c84aaaaad4a2b45fd.json"}}, {"family": "Grammer", "given": "Tanja B", "initials": "TB"}, {"family": "Hagstr\u00f6m", "given": "Emil", "initials": "E", "orcid": "0000-0003-3221-0144", "researcher": {"href": "https://publications.scilifelab.se/researcher/9446657edc224584a7bdfd76c8d991cf.json"}}, {"family": "Held", "given": "Claes", "initials": "C", "orcid": "0000-0001-9402-7404", "researcher": {"href": "https://publications.scilifelab.se/researcher/88c69f319fce4852aab37e02a75ed525.json"}}, {"family": "Kleber", "given": "Marcus E", "initials": "ME", "orcid": "0000-0003-0663-7275", "researcher": {"href": "https://publications.scilifelab.se/researcher/a51175112cfb4721b8c9fbfdc71c4307.json"}}, {"family": "Koenig", "given": "Wolfgang", "initials": "W", "orcid": "0000-0002-2064-9603", "researcher": {"href": "https://publications.scilifelab.se/researcher/b358f3d797814a07a05a63364ae37d27.json"}}, {"family": "M\u00e4rz", "given": "Winfried", "initials": "W", "orcid": "0000-0001-6083-8946", "researcher": {"href": "https://publications.scilifelab.se/researcher/ae0d0dd988e846c4b8c5869b9d1f2905.json"}}, {"family": "Stewart", "given": "Ralph A H", "initials": "RAH", "orcid": "0000-0002-6167-1225", "researcher": {"href": "https://publications.scilifelab.se/researcher/493d2ac878264e0d98736945d8fdbb4d.json"}}, {"family": "White", "given": "Harvey D", "initials": "HD"}, {"family": "\u00c5berg", "given": "Mikael", "initials": "M", "orcid": "0000-0002-7858-8233", "researcher": {"href": "https://publications.scilifelab.se/researcher/90fa86e9aeaa43ea9547e48b4f3f24e3.json"}}, {"family": "Siegbahn", "given": "Agneta", "initials": "A", "orcid": "0000-0003-3955-5671", "researcher": {"href": "https://publications.scilifelab.se/researcher/b04f7f66e31e4c369c078c4d5d0f2a89.json"}}], "type": "journal article", "published": "2021-01-00", "journal": {"title": "PLoS Med.", "issn": "1549-1676", "issn-l": "1549-1277", "volume": "18", "issue": "1", "pages": "e1003513"}, "abstract": "Circulating biomarkers are associated with the development of coronary heart disease (CHD) and its complications by reflecting pathophysiological pathways and/or organ dysfunction. We explored the associations between 157 cardiovascular (CV) and inflammatory biomarkers and CV death using proximity extension assays (PEA) in patients with chronic CHD.\n\nThe derivation cohort consisted of 605 cases with CV death and 2,788 randomly selected non-cases during 3-5 years follow-up included in the STabilization of Atherosclerotic plaque By Initiation of darapLadIb TherapY (STABILITY) trial between 2008 and 2010. The replication cohort consisted of 245 cases and 1,042 non-cases during 12 years follow-up included in the Ludwigshafen Risk and Cardiovascular Health (LURIC) study between 1997 and 2000. Biomarker levels were measured with conventional immunoassays and/or with the OLINK PEA panels CVD I and Inflammation. Associations with CV death were evaluated by Random Survival Forest (RF) and Cox regression analyses. Both cohorts had the same median age (65 years) and 20% smokers, while there were slight differences in male sex (82% and 76%), hypertension (70% and 78%), and diabetes (39% and 30%) in the respective STABILITY and LURIC cohorts. The analyses identified 18 biomarkers with confirmed independent association with CV death by Boruta analyses and statistical significance (all p < 0.0001) by Cox regression when adjusted for clinical characteristics in both cohorts. Most prognostic information was carried by N-terminal prohormone of brain natriuretic peptide (NTproBNP), hazard ratio (HR for 1 standard deviation [SD] increase of the log scale of the distribution of the biomarker in the replication cohort) 2.079 (95% confidence interval [CI] 1.799-2.402), and high-sensitivity troponin T (cTnT-hs) HR 1.715 (95% CI 1.491-1.973). The other proteins with independent associations were growth differentiation factor 15 (GDF-15) HR 1.728 (95% CI 1.527-1.955), transmembrane immunoglobulin and mucin domain protein (TIM-1) HR 1.555 (95% CI 1.362-1.775), renin HR 1.501 (95% CI 1.305-1.727), osteoprotegerin (OPG) HR 1.488 (95% CI 1.297-1.708), soluble suppression of tumorigenesis 2 protein (sST2) HR 1.478 (95% CI 1.307-1.672), cystatin-C (Cys-C) HR 1.370 (95% CI 1.243-1.510), tumor necrosis factor-related apoptosis-inducing ligand receptor 2 (TRAIL-R2) HR 1.205 (95% CI 1.131-1.285), carbohydrate antigen 125 (CA-125) HR 1.347 (95% CI 1.226-1.479), brain natriuretic peptide (BNP) HR 1.399 (95% CI 1.255-1.561), interleukin 6 (IL-6) HR 1.478 (95% CI 1.316-1.659), hepatocyte growth factor (HGF) HR 1.259 (95% CI 1.134-1.396), spondin-1 HR 1.295 (95% CI 1.156-1.450), fibroblast growth factor 23 (FGF-23) HR 1.349 (95% CI 1.237-1.472), chitinase-3 like protein 1 (CHI3L1) HR 1.284 (95% CI 1.129-1.461), tumor necrosis factor receptor 1 (TNF-R1) HR 1.486 (95% CI 1.307-1.689), and adrenomedullin (AM) HR 1.750 (95% CI 1.490-2.056). The study is limited by the differences in design, size, and length of follow-up of the 2 studies and the lack of results from coronary angiograms and follow-up of nonfatal events.\n\nProfiles of levels of multiple plasma proteins might be useful for the identification of different pathophysiological pathways associated with an increased risk of CV death in patients with chronic CHD.\n\nClinicalTrials.gov NCT00799903.", "doi": "10.1371/journal.pmed.1003513", "pmid": "33439866", "labels": {"Affinity Proteomics Uppsala": "Service"}, "xrefs": [{"db": "pmc", "key": "PMC7817029"}, {"db": "pii", "key": "PMEDICINE-D-20-04160"}, {"db": "ClinicalTrials.gov", "key": "NCT00799903"}], "notes": [], "created": "2021-12-10T09:23:14.354Z", "modified": "2022-12-02T09:03:46.477Z"}]}