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"https://publications.scilifelab.se/researcher/a8451e7f5e6e4e4da0bace3dfafaeb38.json"}}, {"family": "Woessmann", "given": "Jakob", "initials": "J", "orcid": "0000-0002-2283-7237", "researcher": {"href": "https://publications.scilifelab.se/researcher/18460524ba914a91ad61dd2ec231c3a7.json"}}, {"family": "Yang", "given": "Hong", "initials": "H", "orcid": "0009-0002-0414-2471", "researcher": {"href": "https://publications.scilifelab.se/researcher/b52bdf7cbd1745e3a4578f17322c83f1.json"}}, {"family": "Ye\u015filkaya", "given": "Umit Haluk", "initials": "UH"}, {"family": "Yuan", "given": "Meng", "initials": "M", "orcid": "0000-0002-9248-3294", "researcher": {"href": "https://publications.scilifelab.se/researcher/befeb12cfba142eb9dadf81497d6c419.json"}}, {"family": "Zeybel", "given": "Mujdat", "initials": "M", "orcid": "0000-0001-5440-4623", "researcher": {"href": "https://publications.scilifelab.se/researcher/0559b83985134a0a9283ea39601a95a7.json"}}, {"family": "Zhang", "given": "Cheng", "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": "c86bd10726ee4bf092f5650e7a9e86a7", "links": {"self": {"href": "https://publications.scilifelab.se/publication/c86bd10726ee4bf092f5650e7a9e86a7.json"}, "display": {"href": "https://publications.scilifelab.se/publication/c86bd10726ee4bf092f5650e7a9e86a7"}}, "title": "The association between the gut microbiome and 24-h blood pressure measurements in the SCAPIS study.", "authors": [{"family": "Lin", "given": "Yi-Ting", "initials": "YT", "orcid": "0000-0002-5833-0040", "researcher": {"href": "https://publications.scilifelab.se/researcher/899debb5e314439c8f35f255445b3674.json"}}, {"family": "Sayols-Baixeras", "given": "Sergi", "initials": "S", "orcid": "0000-0002-1181-6262", "researcher": {"href": "https://publications.scilifelab.se/researcher/cde59259b02342deb13d78874ce93124.json"}}, {"family": "Baldanzi", "given": "Gabriel", "initials": "G", "orcid": "0000-0003-3962-3953", "researcher": {"href": "https://publications.scilifelab.se/researcher/577652ffb15442e1a47a9aaffc3b52e7.json"}}, {"family": "Dekkers", "given": "Koen F", "initials": "KF", "orcid": "0000-0002-4074-7235", "researcher": {"href": "https://publications.scilifelab.se/researcher/ee8d56ef781e42d5b6f21b551054a3e7.json"}}, {"family": "Hammar", "given": "Ulf", "initials": "U"}, {"family": "Nguyen", "given": "Diem", "initials": "D", "orcid": "0000-0002-9680-5772", "researcher": {"href": "https://publications.scilifelab.se/researcher/d78958133e474831ac76dacc36f68cbb.json"}}, {"family": "Nielsen", "given": "Nynne", "initials": "N", "orcid": "0009-0003-5603-3514", "researcher": {"href": "https://publications.scilifelab.se/researcher/9ae270d751a64bef8e6ecf9b3a9b423b.json"}}, {"family": "Eklund", "given": "Aron C", "initials": "AC", "orcid": "0000-0003-0861-1001", "researcher": {"href": "https://publications.scilifelab.se/researcher/9f1b0f6b48de45f7916e14d6a4defb09.json"}}, {"family": "Varotsis", "given": "Georgios", "initials": "G", "orcid": "0000-0002-3320-2448", "researcher": {"href": "https://publications.scilifelab.se/researcher/0f3db146258e467ab67f8848a048baa3.json"}}, {"family": "Holm", "given": "Jacob B", "initials": "JB", "orcid": "0000-0003-1756-0875", "researcher": {"href": "https://publications.scilifelab.se/researcher/359fa6a18dc549a8852dd3990ccde1f1.json"}}, {"family": "Nielsen", "given": "H Bj\u00f8rn", "initials": "HB", "orcid": "0000-0003-2281-5713", "researcher": {"href": "https://publications.scilifelab.se/researcher/c1d5f2e0565a46bcbccfc973eec9e838.json"}}, {"family": "Lind", "given": "Lars", "initials": "L"}, {"family": "Bergstr\u00f6m", "given": "G\u00f6ran", "initials": "G", "orcid": "0000-0003-4289-5722", "researcher": {"href": "https://publications.scilifelab.se/researcher/fbc3ade3079e4265ad42ed1be485bc24.json"}}, {"family": "Smith", "given": "J Gustav", "initials": "JG"}, {"family": "Engstr\u00f6m", "given": "Gunnar", "initials": "G"}, {"family": "\u00c4rnl\u00f6v", "given": "Johan", "initials": "J"}, {"family": "Sundstr\u00f6m", "given": "Johan", "initials": "J", "orcid": "0000-0003-2247-8454", "researcher": {"href": "https://publications.scilifelab.se/researcher/91a40d3c138d43f2b0d38f66be4b71c7.json"}}, {"family": "Orho-Melander", "given": "Marju", "initials": "M", "orcid": "0000-0002-3578-2503", "researcher": {"href": "https://publications.scilifelab.se/researcher/7e54fbe6f0fc4eed93108b382e1b2952.json"}}, {"family": "Fall", "given": "Tove", "initials": "T", "orcid": "0000-0003-2071-5866", "researcher": {"href": "https://publications.scilifelab.se/researcher/4ed3f066719f43b291743a8bdaf3d2a0.json"}}], "type": "journal article", "published": "2025-07-07", "journal": {"title": "Commun Med (Lond)", "issn": "2730-664X", "volume": "5", "issue": "1", "pages": "276", "issn-l": null}, "abstract": "There is mounting evidence supporting the role of the microbiota in hypertension from experimental studies and population-based studies. We aimed to investigate the relationship between specific characteristics of the gut microbiome and 24-h ambulatory blood pressure measurements.\n\nThe association of gut microbial species and microbial functions, determined by shotgun metagenomic sequencing of fecal samples, with 24-h ambulatory blood pressure measurements in 3695 participants and office blood pressure was assessed in multivariable-adjusted models in 2770 participants without antihypertensive medication from the Swedish CArdioPulmonary bioImage Study.\n\nGut microbiome alpha diversity was negatively associated with diastolic blood pressure variability. Additionally, four microbial species were associated with at least one of the 24-h blood pressure traits. Streptococcus sp001556435 was associated with higher systolic blood pressure, Intestinimonas massiliensis and Dysosmobacter sp001916835 with lower systolic blood pressure, Dysosmobacter sp001916835 with lower diastolic blood pressure, and ER4 sp900317525 with lower systolic blood pressure variability. Moreover, office blood pressure data from a subsample without ambulatory blood pressure measurements replicated the association of Intestinimonas massiliensis with systolic blood pressure and Dysosmobacter sp001916835 with diastolic blood pressure. Species associated with 24-h blood pressure were linked to a similar pattern of metabolites.\n\nIn this large cross-sectional analysis, gut microbiome alpha diversity negatively associates with diastolic blood pressure variability, and four gut microbial species associate with 24-h blood pressure traits.", "doi": "10.1038/s43856-025-00980-x", "pmid": "40624247", "labels": {"Bioinformatics Support for Computational Resources": "Service"}, "xrefs": [{"db": "pmc", "key": "PMC12234806"}, {"db": "pii", "key": "10.1038/s43856-025-00980-x"}], "notes": [], "created": "2025-11-28T10:47:57.315Z", "modified": "2025-11-28T10:47:57.726Z"}, {"entity": "publication", "iuid": "1883c3293a9942b7bbff3df7e9c1d61b", "links": {"self": {"href": "https://publications.scilifelab.se/publication/1883c3293a9942b7bbff3df7e9c1d61b.json"}, "display": {"href": "https://publications.scilifelab.se/publication/1883c3293a9942b7bbff3df7e9c1d61b"}}, "title": "BMI during childhood and puberty - associations with blood pressure and hypertension.", "authors": [{"family": "Lilja", "given": "Lina", "initials": "L", "orcid": "0000-0003-2908-7456", "researcher": {"href": "https://publications.scilifelab.se/researcher/dbd8f5f9d6454648b700455cb1d64c91.json"}}, {"family": "Bygdell", "given": "Maria", "initials": "M", "orcid": "0000-0002-0737-8642", "researcher": {"href": "https://publications.scilifelab.se/researcher/b54e9b05bcb74e4a91a4e9cfcdf187aa.json"}}, {"family": "Martikainen", "given": "Jari", "initials": "J", "orcid": "0000-0003-0366-1683", "researcher": {"href": "https://publications.scilifelab.se/researcher/dfd56b6dfb74494890131a51097996d8.json"}}, {"family": "Li", "given": "Huiqi", "initials": "H", "orcid": "0000-0002-1127-0829", "researcher": {"href": "https://publications.scilifelab.se/researcher/abcde2f8415b4c17971fcd44c25c3d50.json"}}, {"family": "Schmidt", "given": "Caroline", "initials": "C", "orcid": "0000-0001-8534-3237", "researcher": {"href": "https://publications.scilifelab.se/researcher/a80ef1ead9ec48bbbcdcd9a16724c716.json"}}, {"family": "Bergstr\u00f6m", "given": "G\u00f6ran", "initials": "G", "orcid": "0000-0003-4289-5722", "researcher": {"href": "https://publications.scilifelab.se/researcher/fbc3ade3079e4265ad42ed1be485bc24.json"}}, {"family": "Rosengren", "given": "Annika", "initials": "A", "orcid": "0000-0002-5409-6605", "researcher": {"href": "https://publications.scilifelab.se/researcher/59e4c8b35336454ab5f74df9c6b9531b.json"}}, {"family": "Ohlsson", "given": "Claes", "initials": "C", "orcid": "0000-0002-9633-2805", "researcher": {"href": "https://publications.scilifelab.se/researcher/995dac358caa4a169fc889b7a3eef44a.json"}}, {"family": "Kindblom", "given": "Jenny M", "initials": "JM", "orcid": "0000-0001-8437-0639", "researcher": {"href": "https://publications.scilifelab.se/researcher/5d338479632e48c0ba14bf948e4cc34f.json"}}], "type": "journal article", "published": "2025-06-25", "journal": {"title": "Eur J Prev Cardiol", "issn": "2047-4881", "issn-l": "2047-4873"}, "abstract": "The present study aimed to evaluate the association between BMI during childhood and puberty and blood pressure and hypertension in midlife, and to explore midlife BMI as a potential mediator of these associations.\n\nWe linked the BMI Epidemiology Study Gothenburg (BEST) with developmental BMI, with the Swedish CArdioPulmonary bioImage Study (SCAPIS) with blood pressure and hypertension in midlife (n= 2394). The associations between childhood BMI (7-8 years) and pubertal BMI change (young adult BMI minus childhood BMI), and blood pressure and hypertension in midlife, were evaluated using linear or logistic regression models. Mediation analysis was conducted to evaluate the indirect effect, via midlife BMI, and the direct effect on blood pressure and hypertension. The analyses were adjusted for birth year and smoking.\n\nThe pubertal BMI change was positively associated with systolic and diastolic blood pressure and hypertension in midlife, independent of childhood BMI, in both men and women (p<0.01). For men but not for women, childhood BMI was positively associated with systolic and diastolic blood pressure in midlife, independent of the pubertal BMI change (p<0.01). No significant independent association was observed for childhood BMI with hypertension. Mediation analyses for the association between the pubertal BMI change and blood pressure and hypertension in midlife indicate that these associations were largely mediated by BMI in midlife.\n\nThese findings indicate that high blood pressure may originate in early life. A life-course approach for targeted prevention, starting already during the developmental years, could reduce the risk of high blood pressure.", "doi": "10.1093/eurjpc/zwaf376", "pmid": "40561523", "labels": {"Clinical Genomics": "Collaborative", "Clinical Genomics Gothenburg": "Collaborative"}, "xrefs": [{"db": "pii", "key": "8173940"}], "notes": [], "created": "2025-07-08T13:55:21.859Z", "modified": "2025-11-04T11:36:37.987Z"}, {"entity": "publication", "iuid": "49398b063f5d4500a3dd373382da546a", "links": {"self": {"href": "https://publications.scilifelab.se/publication/49398b063f5d4500a3dd373382da546a.json"}, "display": {"href": "https://publications.scilifelab.se/publication/49398b063f5d4500a3dd373382da546a"}}, "title": "A genome-wide association study of imaging-defined atherosclerosis.", "authors": [{"family": "Gummesson", "given": "Anders", "initials": "A", "orcid": "0000-0003-0024-960X", "researcher": {"href": "https://publications.scilifelab.se/researcher/cb164de27f2846328bb675876922a5fe.json"}}, {"family": "Lundmark", "given": "Per", "initials": "P", "orcid": "0009-0006-2334-8802", "researcher": {"href": "https://publications.scilifelab.se/researcher/f30b1a2e60d646c4a0cc0be06ffe77dd.json"}}, {"family": "Chen", "given": "Qiao Sen", "initials": "QS", "orcid": "0000-0002-5864-7574", "researcher": {"href": "https://publications.scilifelab.se/researcher/84dde05e01624f07a374810c1086f20a.json"}}, {"family": "Bj\u00f6rnson", "given": "Elias", "initials": "E"}, {"family": "Dekkers", "given": "Koen F", "initials": "KF", "orcid": "0000-0002-4074-7235", "researcher": {"href": "https://publications.scilifelab.se/researcher/ee8d56ef781e42d5b6f21b551054a3e7.json"}}, {"family": "Hammar", "given": "Ulf", "initials": "U"}, {"family": "Adiels", "given": "Martin", "initials": "M"}, {"family": "Wang", "given": "Yunzhang", "initials": "Y", "orcid": "0000-0003-1165-3595", "researcher": {"href": "https://publications.scilifelab.se/researcher/2869602ee77944d2b1a736638a76bb3a.json"}}, {"family": "Andersson", "given": "Therese", "initials": "T"}, {"family": "Bergstr\u00f6m", "given": "G\u00f6ran", "initials": "G", "orcid": "0000-0003-4289-5722", "researcher": {"href": "https://publications.scilifelab.se/researcher/fbc3ade3079e4265ad42ed1be485bc24.json"}}, {"family": "Carlh\u00e4ll", "given": "Carl-Johan", "initials": "CJ"}, {"family": "Erlinge", "given": "David", "initials": "D"}, {"family": "Jernberg", "given": "Tomas", "initials": "T"}, {"family": "Landfors", "given": "Fredrik", "initials": "F", "orcid": "0000-0002-5695-2276", "researcher": {"href": "https://publications.scilifelab.se/researcher/d85f85dce6c548fd9f36ac1540c9aff3.json"}}, {"family": "Lind", "given": "Lars", "initials": "L"}, {"family": "Mannila", "given": "Maria", "initials": "M", "orcid": "0000-0001-6189-2901", "researcher": {"href": "https://publications.scilifelab.se/researcher/786397ffc6a54d3e8c54f5493fbb7aa2.json"}}, {"family": "Melander", "given": "Olle", "initials": "O"}, {"family": "Pirazzi", "given": "Carlo", "initials": "C"}, {"family": "Sundstr\u00f6m", "given": "Johan", "initials": "J"}, {"family": "\u00d6stgren", "given": "Carl Johan", "initials": "CJ", "orcid": "0000-0003-1617-3179", "researcher": {"href": "https://publications.scilifelab.se/researcher/d4b5d952d50c4801aa88c0c9ae0d5813.json"}}, {"family": "Gunnarsson", "given": "Cecilia", "initials": "C", "orcid": "0000-0001-9474-6820", "researcher": {"href": "https://publications.scilifelab.se/researcher/ed1a42fede5f4f6d87c20d6bb9f694de.json"}}, {"family": "Orho-Melander", "given": "Marju", "initials": "M", "orcid": "0000-0002-3578-2503", "researcher": {"href": "https://publications.scilifelab.se/researcher/7e54fbe6f0fc4eed93108b382e1b2952.json"}}, {"family": "S\u00f6derberg", "given": "Stefan", "initials": "S", "orcid": "0000-0001-9225-1306", "researcher": {"href": "https://publications.scilifelab.se/researcher/b13944767ad9446e885ce32ca88afebd.json"}}, {"family": "Fall", "given": "Tove", "initials": "T", "orcid": "0000-0003-2071-5866", "researcher": {"href": "https://publications.scilifelab.se/researcher/4ed3f066719f43b291743a8bdaf3d2a0.json"}}, {"family": "Gigante", "given": "Bruna", "initials": "B", "orcid": "0000-0003-4508-7990", "researcher": {"href": "https://publications.scilifelab.se/researcher/3ac1bdc52e3241ea9eb5645f603229a3.json"}}], "type": "journal article", "published": "2025-03-31", "journal": {"title": "Nat Commun", "issn": "2041-1723", "volume": "16", "issue": "1", "pages": "2266", "issn-l": "2041-1723"}, "abstract": "Imaging-defined atherosclerosis represents an intermediate phenotype of atherosclerotic cardiovascular disease (ASCVD). Genome-wide association studies (GWAS) on directly measured coronary plaques using coronary computed tomography angiography (CCTA) are scarce. In the so far largest population-based cohort with CCTA data, we performed a GWAS on coronary plaque burden as determined by the segment involvement score (SIS) in 24,811 European individuals. We identified 20 significant independent genetic markers for SIS, three of which were found in loci not implicated in ASCVD before. Further GWAS on coronary artery calcification showed similar results to that of SIS, whereas a GWAS on ultrasound-assessed carotid plaques identified both shared and non-shared loci with SIS. In two-sample Mendelian randomization studies using SIS-associated markers in UK Biobank and CARDIoGRAMplusC4D, one extra coronary segment with atherosclerosis corresponded to 1.8-fold increased odds of myocardial infarction. This GWAS data can aid future studies of causal pathways in ASCVD.", "doi": "10.1038/s41467-025-57457-7", "pmid": "40164586", "labels": {"NGI SNP genotyping": "Service", "NGI Uppsala (SNP&SEQ Technology Platform)": "Service", "National Genomics Infrastructure": "Service", "Bioinformatics Support for Computational Resources": "Service"}, "xrefs": [{"db": "pmc", "key": "PMC11958696"}, {"db": "pii", "key": "10.1038/s41467-025-57457-7"}], "notes": [], "created": "2025-05-12T05:48:37.162Z", "modified": "2025-11-14T11:06:44.446Z"}, {"entity": "publication", "iuid": "98a5bddd23b947cea68672bd1c9a6590", "links": {"self": {"href": "https://publications.scilifelab.se/publication/98a5bddd23b947cea68672bd1c9a6590.json"}, "display": {"href": "https://publications.scilifelab.se/publication/98a5bddd23b947cea68672bd1c9a6590"}}, "title": "Identification of Endothelial Proteins in Plasma Associated With Cardiovascular Risk Factors.", "authors": [{"family": "Iglesias", "given": "Maria J", "initials": "MJ", "orcid": "0000-0003-4122-1945", "researcher": {"href": "https://publications.scilifelab.se/researcher/adccb07f0a744e648516bd7b672d70be.json"}}, {"family": "Kruse", "given": "Larissa D", "initials": "LD", "orcid": "0000-0002-2015-2293", "researcher": {"href": "https://publications.scilifelab.se/researcher/e4ee3a7110024de786807442fd68fd73.json"}}, {"family": "Sanchez-Rivera", "given": "Laura", "initials": "L"}, {"family": "Enge", "given": "Linnea", "initials": "L"}, {"family": "Dusart", "given": "Philip", "initials": "P", "orcid": "0000-0003-2747-3214", "researcher": {"href": "https://publications.scilifelab.se/researcher/5dffee863552446eb498f96e04a0fe4d.json"}}, {"family": "Hong", "given": "Mun-Gwan", "initials": "MG", "orcid": "0000-0001-8603-8293", "researcher": {"href": "https://publications.scilifelab.se/researcher/5d66c199ece143a6ab15222d8b55e3ea.json"}}, {"family": "Uhl\u00e9n", "given": "Mathias", "initials": "M", "orcid": "0000-0002-4858-8056", "researcher": {"href": "https://publications.scilifelab.se/researcher/ff81da3cb0cf4262873b993a1b06798c.json"}}, {"family": "Renn\u00e9", "given": "Thomas", "initials": "T", "orcid": "0000-0003-4594-5975", "researcher": {"href": "https://publications.scilifelab.se/researcher/dc8b1c2969a74aa8bdc4a8ca8bee335a.json"}}, {"family": "Schwenk", "given": "Jochen M", "initials": "JM", "orcid": "0000-0001-8141-8449", "researcher": {"href": "https://publications.scilifelab.se/researcher/aba5822711b246b397fffacb7ae403b3.json"}}, {"family": "Bergstrom", "given": "G\u00f6ran", "initials": "G", "orcid": "0000-0003-4289-5722", "researcher": {"href": "https://publications.scilifelab.se/researcher/fbc3ade3079e4265ad42ed1be485bc24.json"}}, {"family": "Odeberg", "given": "Jacob", "initials": "J", "orcid": "0000-0003-0996-1644", "researcher": {"href": "https://publications.scilifelab.se/researcher/d1f04395fea84d898a8fe2a9875e79c4.json"}}, {"family": "Butler", "given": "Lynn M", "initials": "LM", "orcid": "0000-0002-2352-8217", "researcher": {"href": "https://publications.scilifelab.se/researcher/069263856386498c8262acf10587177c.json"}}], "type": "journal article", "published": "2021-12-00", "journal": {"title": "Arterioscler. Thromb. Vasc. Biol.", "issn": "1524-4636", "volume": "41", "issue": "12", "pages": "2990-3004", "issn-l": "1079-5642"}, "abstract": "Endothelial cell (EC) dysfunction is a well-established response to cardiovascular disease risk factors, such as smoking and obesity. Risk factor exposure can modify EC signaling and behavior, leading to arterial and venous disease development. Here, we aimed to identify biomarker panels for the assessment of EC dysfunction, which could be useful for risk stratification or to monitor treatment response. Approach and Results: We used affinity proteomics to identify EC proteins circulating in plasma that were associated with cardiovascular disease risk factor exposure. Two hundred sixteen proteins, which we previously predicted to be EC-enriched across vascular beds, were measured in plasma samples (N=1005) from the population-based SCAPIS (Swedish Cardiopulmonary Bioimage Study) pilot. Thirty-eight of these proteins were associated with body mass index, total cholesterol, low-density lipoprotein, smoking, hypertension, or diabetes. Sex-specific analysis revealed that associations predominantly observed in female- or male-only samples were most frequently with the risk factors body mass index, or total cholesterol and smoking, respectively. We show a relationship between individual cardiovascular disease risk, calculated with the Framingham risk score, and the corresponding biomarker profiles.\n\nEC proteins in plasma could reflect vascular health status.", "doi": "10.1161/ATVBAHA.121.316779", "pmid": "34706560", "labels": {"Affinity Proteomics Stockholm": "Service"}, "xrefs": [{"db": "pmc", "key": "PMC8608011"}], "notes": [], "created": "2021-12-06T08:11:54.132Z", "modified": "2021-12-06T08:12:09.738Z"}, {"entity": "publication", "iuid": "043ab27fa61944e99a7e279442373b57", "links": {"self": {"href": "https://publications.scilifelab.se/publication/043ab27fa61944e99a7e279442373b57.json"}, "display": {"href": "https://publications.scilifelab.se/publication/043ab27fa61944e99a7e279442373b57"}}, "title": "Integration of molecular profiles in a longitudinal wellness profiling cohort.", "authors": [{"family": "Tebani", "given": "Abdellah", "initials": "A"}, {"family": "Gummesson", "given": "Anders", "initials": "A", "orcid": "0000-0003-0024-960X", "researcher": {"href": "https://publications.scilifelab.se/researcher/cb164de27f2846328bb675876922a5fe.json"}}, {"family": "Zhong", "given": "Wen", "initials": "W", "orcid": "0000-0002-7422-6104", "researcher": {"href": "https://publications.scilifelab.se/researcher/a82c3b7da3b8472392d39ca5f6d5bedb.json"}}, {"family": "Koistinen", "given": "Ina Schuppe", "initials": "IS"}, {"family": "Lakshmikanth", "given": "Tadepally", "initials": "T", "orcid": "0000-0001-7256-5770", "researcher": {"href": "https://publications.scilifelab.se/researcher/92e81aa6b0cf4ff0a18b14098bf0fcc1.json"}}, {"family": "Olsson", "given": "Lisa M", "initials": "LM", "orcid": "0000-0001-9730-1915", "researcher": {"href": "https://publications.scilifelab.se/researcher/2460963d77ee4eee9409fbd8c257d910.json"}}, {"family": "Boulund", "given": "Fredrik", "initials": "F", "orcid": "0000-0002-3806-323X", "researcher": {"href": "https://publications.scilifelab.se/researcher/514fbe8cab5e4f25afa33fcd3e0523b5.json"}}, {"family": "Neiman", "given": "Maja", "initials": "M"}, {"family": "Stenlund", "given": "Hans", "initials": "H"}, {"family": "Hellstr\u00f6m", "given": "Cecilia", "initials": "C", "orcid": "0000-0003-0880-5375", "researcher": {"href": "https://publications.scilifelab.se/researcher/dbf3f75938f0442a9b1ae5c98565f44a.json"}}, {"family": "Karlsson", "given": "Max J", "initials": "MJ", "orcid": "0000-0002-7000-4416", "researcher": {"href": "https://publications.scilifelab.se/researcher/6e1bd9a99e5648c3998c6e0106a07fbc.json"}}, {"family": "Arif", "given": "Muhammad", "initials": "M", "orcid": "0000-0003-2261-0881", "researcher": {"href": "https://publications.scilifelab.se/researcher/fbe369c4e07c44c09dcf64a3c18d833e.json"}}, {"family": "Dodig-Crnkovi\u0107", "given": "Tea", "initials": "T", "orcid": "0000-0002-2875-896X", "researcher": {"href": "https://publications.scilifelab.se/researcher/cf18af5b676b449693945249fc1767e4.json"}}, {"family": "Mardinoglu", "given": "Adil", "initials": "A", "orcid": "0000-0002-4254-6090", "researcher": {"href": "https://publications.scilifelab.se/researcher/da756265658c4ed2a8911644583e07a3.json"}}, {"family": "Lee", "given": "Sunjae", "initials": "S"}, {"family": "Zhang", "given": "Cheng", "initials": "C", "orcid": "0000-0002-3721-8586", "researcher": {"href": "https://publications.scilifelab.se/researcher/d1b9559ac41749fa91c4025108947e13.json"}}, {"family": "Chen", "given": "Yang", "initials": "Y"}, {"family": "Olin", "given": "Axel", "initials": "A", "orcid": "0000-0002-1161-4476", "researcher": {"href": "https://publications.scilifelab.se/researcher/8dfb8efde80a4a508c93714729259aba.json"}}, {"family": "Mikes", "given": "Jaromir", "initials": "J", "orcid": "0000-0002-9941-7855", "researcher": {"href": "https://publications.scilifelab.se/researcher/21c127bffa7c4a01af7fad8ba6bac90b.json"}}, {"family": "Danielsson", "given": "Hanna", "initials": "H", "orcid": "0000-0001-6959-7704", "researcher": {"href": "https://publications.scilifelab.se/researcher/32e346ce0d514179baea3c97b615e665.json"}}, {"family": "von Feilitzen", "given": "Kalle", "initials": "K"}, {"family": "Jansson", "given": "Per-Anders", "initials": "PA"}, {"family": "Anger\u00e5s", "given": "Oskar", "initials": "O"}, {"family": "Huss", "given": "Mikael", "initials": "M"}, {"family": "Kjellqvist", "given": "Sanela", "initials": "S"}, {"family": "Odeberg", "given": "Jacob", "initials": "J", "orcid": "0000-0003-0996-1644", "researcher": {"href": "https://publications.scilifelab.se/researcher/d1f04395fea84d898a8fe2a9875e79c4.json"}}, {"family": "Edfors", "given": "Fredrik", "initials": "F", "orcid": "0000-0002-0017-7987", "researcher": {"href": "https://publications.scilifelab.se/researcher/3f0e8af0b9144bcd9fd566d316008a62.json"}}, {"family": "Tremaroli", "given": "Valentina", "initials": "V"}, {"family": "Forsstr\u00f6m", "given": "Bj\u00f6rn", "initials": "B"}, {"family": "Schwenk", "given": "Jochen M", "initials": "JM", "orcid": "0000-0001-8141-8449", "researcher": {"href": "https://publications.scilifelab.se/researcher/aba5822711b246b397fffacb7ae403b3.json"}}, {"family": "Nilsson", "given": "Peter", "initials": "P", "orcid": "0000-0002-4657-8532", "researcher": {"href": "https://publications.scilifelab.se/researcher/799bcf1cf8cf451296f4535dd4ca9dc0.json"}}, {"family": "Moritz", "given": "Thomas", "initials": "T", "orcid": "0000-0002-4258-3190", "researcher": {"href": "https://publications.scilifelab.se/researcher/95ad5b7fe48f42eda1328f54a385e097.json"}}, {"family": "B\u00e4ckhed", "given": "Fredrik", "initials": "F", "orcid": "0000-0002-4871-8818", "researcher": {"href": "https://publications.scilifelab.se/researcher/1689878e0c5542d08d3e2d5043a6ce5c.json"}}, {"family": "Engstrand", "given": "Lars", "initials": "L"}, {"family": "Brodin", "given": "Petter", "initials": "P", "orcid": "0000-0002-8103-0046", "researcher": {"href": "https://publications.scilifelab.se/researcher/40097353cdb24e52bf2330eb687042bf.json"}}, {"family": "Bergstr\u00f6m", "given": "G\u00f6ran", "initials": "G", "orcid": "0000-0003-4289-5722", "researcher": {"href": "https://publications.scilifelab.se/researcher/fbc3ade3079e4265ad42ed1be485bc24.json"}}, {"family": "Uhlen", "given": "Mathias", "initials": "M", "orcid": "0000-0002-4858-8056", "researcher": {"href": "https://publications.scilifelab.se/researcher/ff81da3cb0cf4262873b993a1b06798c.json"}}, {"family": "Fagerberg", "given": "Linn", "initials": "L", "orcid": "0000-0003-0198-7137", "researcher": {"href": "https://publications.scilifelab.se/researcher/e8db0663a10a4d9e9241457609d5952e.json"}}], "type": "journal article", "published": "2020-09-08", "journal": {"title": "Nat Commun", "issn": "2041-1723", "issn-l": "2041-1723", "volume": "11", "issue": "1", "pages": "4487"}, "abstract": "An important aspect of precision medicine is to probe the stability in molecular profiles among healthy individuals over time. Here, we sample a longitudinal wellness cohort with 100 healthy individuals and analyze blood molecular profiles including proteomics, transcriptomics, lipidomics, metabolomics, autoantibodies and immune cell profiling, complemented with gut microbiota composition and routine clinical chemistry. Overall, our results show high variation between individuals across different molecular readouts, while the intra-individual baseline variation is low. The analyses show that each individual has a unique and stable plasma protein profile throughout the study period and that many individuals also show distinct profiles with regards to the other omics datasets, with strong underlying connections between the blood proteome and the clinical chemistry parameters. In conclusion, the results support an individual-based definition of health and show that comprehensive omics profiling in a longitudinal manner is a path forward for precision medicine.", "doi": "10.1038/s41467-020-18148-7", "pmid": "32900998", "labels": {"Bioinformatics Support, Infrastructure and Training": "Collaborative", "Bioinformatics Long-term Support WABI": "Collaborative", "Autoimmunity and Serology Profiling": "Collaborative", "Affinity Proteomics Stockholm": "Collaborative", "Cellular Immunomonitoring": "Collaborative", "Bioinformatics Support for Computational Resources": "Service", "Bioinformatics (NBIS)": "Collaborative", "Swedish Metabolomics Centre": "Collaborative"}, "xrefs": [{"db": "pii", "key": "10.1038/s41467-020-18148-7"}, {"db": "pmc", "key": "PMC7479148"}], "notes": [], "created": "2020-09-10T05:17:29.818Z", "modified": "2025-10-17T13:03:16.662Z"}]}