{"entity": "journal", "iuid": "8ab2ff6969d8485bbeaf0413a2d6a8a8", "timestamp": "2026-07-13T09:03:29.545Z", "links": {"self": {"href": "https://publications.scilifelab.se/journal/Diabetes%20Care.json"}, "display": {"href": "https://publications.scilifelab.se/journal/Diabetes%20Care"}}, "title": "Diabetes Care", "issn": "1935-5548", "issn-l": "0149-5992", "publications_count": 5, "publications": [{"entity": "publication", "iuid": "0ef79e1b42534802b5fd66e846d4e6da", "links": {"self": {"href": "https://publications.scilifelab.se/publication/0ef79e1b42534802b5fd66e846d4e6da.json"}, "display": {"href": "https://publications.scilifelab.se/publication/0ef79e1b42534802b5fd66e846d4e6da"}}, "title": "Plasma Lipidome and Prediction of Type 2 Diabetes in the Population-Based Malm\u00f6 Diet and Cancer Cohort.", "authors": [{"family": "Fernandez", "given": "C\u00e9line", "initials": "C", "orcid": "0000-0003-1290-4982", "researcher": {"href": "https://publications.scilifelab.se/researcher/0403fdacd924464a913261e53f6e6083.json"}}, {"family": "Surma", "given": "Michal A", "initials": "MA"}, {"family": "Klose", "given": "Christian", "initials": "C"}, {"family": "Gerl", "given": "Mathias J", "initials": "MJ"}, {"family": "Ottosson", "given": "Filip", "initials": "F", "orcid": "0000-0002-8312-3545", "researcher": {"href": "https://publications.scilifelab.se/researcher/14c6874eea0d4fd59677b024c2ca58bf.json"}}, {"family": "Ericson", "given": "Ulrika", "initials": "U"}, {"family": "Oskolkov", "given": "Nikolay", "initials": "N"}, {"family": "Ohro-Melander", "given": "Marju", "initials": "M"}, {"family": "Simons", "given": "Kai", "initials": "K"}, {"family": "Melander", "given": "Olle", "initials": "O"}], "type": "journal article", "published": "2020-02-00", "journal": {"volume": "43", "issn": "1935-5548", "issue": "2", "pages": "366-373", "title": "Diabetes Care", "issn-l": "0149-5992"}, "abstract": "Type 2 diabetes mellitus (T2DM) is associated with dyslipidemia, but the detailed alterations in lipid species preceding the disease are largely unknown. We aimed to identify plasma lipids associated with development of T2DM and investigate their associations with lifestyle.\n\nAt baseline, 178 lipids were measured by mass spectrometry in 3,668 participants without diabetes from the Malm\u00f6 Diet and Cancer Study. The population was randomly split into discovery (n = 1,868, including 257 incident cases) and replication (n = 1,800, including 249 incident cases) sets. We used orthogonal projections to latent structures discriminant analyses, extracted a predictive component for T2DM incidence (lipid-PCDM), and assessed its association with T2DM incidence using Cox regression and lifestyle factors using general linear models.\n\nA T2DM-predictive lipid-PCDM derived from the discovery set was independently associated with T2DM incidence in the replication set, with hazard ratio (HR) among subjects in the fifth versus first quintile of lipid-PCDM of 3.7 (95% CI 2.2-6.5). In comparison, the HR of T2DM among obese versus normal weight subjects was 1.8 (95% CI 1.2-2.6). Clinical lipids did not improve T2DM risk prediction, but adding the lipid-PCDM to all conventional T2DM risk factors increased the area under the receiver operating characteristics curve by 3%. The lipid-PCDM was also associated with a dietary risk score for T2DM incidence and lower level of physical activity.\n\nA lifestyle-related lipidomic profile strongly predicts T2DM development beyond current risk factors. Further studies are warranted to test if lifestyle interventions modifying this lipidomic profile can prevent T2DM.", "doi": "10.2337/dc19-1199", "pmid": "31818810", "labels": {"Bioinformatics Support, Infrastructure and Training": "Collaborative", "Bioinformatics Long-term Support WABI": "Collaborative", "Bioinformatics Support for Computational Resources": "Service", "Bioinformatics (NBIS)": "Collaborative"}, "xrefs": [{"db": "pii", "key": "dc19-1199"}], "notes": [], "created": "2020-01-07T22:12:39.038Z", "modified": "2024-01-16T13:48:42.982Z"}, {"entity": "publication", "iuid": "67cc504ce8344efe89d794909aabc482", "links": {"self": {"href": "https://publications.scilifelab.se/publication/67cc504ce8344efe89d794909aabc482.json"}, "display": {"href": "https://publications.scilifelab.se/publication/67cc504ce8344efe89d794909aabc482"}}, "title": "Genetic Prediction of Serum 25-Hydroxyvitamin D, Calcium, and Parathyroid Hormone Levels in Relation to Development of Type 2 Diabetes: A Mendelian Randomization Study.", "authors": [{"family": "Yuan", "given": "Shuai", "initials": "S"}, {"family": "Jiang", "given": "Xia", "initials": "X"}, {"family": "Micha\u00eblsson", "given": "Karl", "initials": "K"}, {"family": "Larsson", "given": "Susanna C", "initials": "SC"}], "type": "journal article", "published": "2019-12-00", "journal": {"volume": "42", "issn": "1935-5548", "issue": "12", "pages": "2197-2203", "title": "Diabetes Care", "issn-l": "0149-5992"}, "abstract": "We conducted a Mendelian randomization study to investigate the associations of genetically predicted serum 25-hydroxyvitamin D (S-25OHD), calcium (S-Ca), and parathyroid hormone (S-PTH) levels with type 2 diabetes (T2DM).\n\nSeven, six, and five single nucleotide polymorphisms (SNPs) associated with S-25OHD, S-Ca, and S-PTH levels, respectively, were used as instrumental variables. Data on T2DM were available for 74,124 case subjects with T2DM and 824,006 control subjects. The inverse variance-weighted method was used for the primary analyses, and the weighted median and Mendelian randomization (MR)-Egger methods were used for supplementary analyses.\n\nGenetically predicted S-25OHD but not S-Ca and S-PTH levels were associated with T2DM in the primary analyses. For 1 SD increment of S-25OHD levels, the odds ratio (OR) of T2DM was 0.94 (95% CI 0.88-0.99; P = 0.029) in an analysis based on all seven SNPs and 0.90 (95% CI 0.83-0.98; P = 0.011) in an analysis based on three SNPs within or near genes involved in vitamin D synthesis. Only the association based on the SNPs involved in vitamin D synthesis remained in the weighted median analysis, and no pleiotropy was detected (P = 0.153). Pleiotropy was detected in the analysis of S-Ca (P = 0.013). After correcting for this bias using MR-Egger regression, the OR of T2DM per 1 SD increment of S-Ca levels was 1.41 (95% CI 1.12-1.77; P = 0.003).\n\nModest lifelong higher S-25OHD levels were associated with reduced odds of T2DM, but the association was only robust for SNPs in the vitamin D synthesis pathway. The possible role of S-Ca levels for T2DM development requires further research.", "doi": "10.2337/dc19-1247", "pmid": "31548248", "labels": {"National Genomics Infrastructure": "Service", "NGI Uppsala (SNP&SEQ Technology Platform)": "Service", "Bioinformatics Support for Computational Resources": "Service"}, "xrefs": [{"db": "pii", "key": "dc19-1247"}], "notes": [], "created": "2019-11-28T07:41:32.083Z", "modified": "2024-01-16T13:48:43.440Z"}, {"entity": "publication", "iuid": "249089d114f94775a9e28bd46bfc91c0", "links": {"self": {"href": "https://publications.scilifelab.se/publication/249089d114f94775a9e28bd46bfc91c0.json"}, "display": {"href": "https://publications.scilifelab.se/publication/249089d114f94775a9e28bd46bfc91c0"}}, "title": "Circulating HER2/ErbB2 Levels Are Associated With Increased Incidence of Diabetes: A Population-Based Cohort Study.", "authors": [{"family": "Muhammad", "given": "Iram Faqir", "initials": "IF", "orcid": "0000-0002-4026-3302", "researcher": {"href": "https://publications.scilifelab.se/researcher/eb56cd5ba9664baeb8eb5a554a0200df.json"}}, {"family": "Born\u00e9", "given": "Yan", "initials": "Y", "orcid": "0000-0002-5000-2237", "researcher": {"href": "https://publications.scilifelab.se/researcher/33ec7e45da8640e48a192e9ae2b070db.json"}}, {"family": "Bao", "given": "Xue", "initials": "X", "orcid": "0000-0001-6127-3924", "researcher": {"href": "https://publications.scilifelab.se/researcher/9f1451d87a2646049e7c73d0d282b963.json"}}, {"family": "Melander", "given": "Olle", "initials": "O"}, {"family": "Orho-Melander", "given": "Marju", "initials": "M"}, {"family": "Nilsson", "given": "Peter M", "initials": "PM", "orcid": "0000-0002-5652-8459", "researcher": {"href": "https://publications.scilifelab.se/researcher/f23c2a10ac2a4d73a8f62b94855635f1.json"}}, {"family": "Nilsson", "given": "Jan", "initials": "J", "orcid": "0000-0002-9752-7479", "researcher": {"href": "https://publications.scilifelab.se/researcher/8777140448bc47f0a7984db3c15c0e23.json"}}, {"family": "Engstr\u00f6m", "given": "Gunnar", "initials": "G"}], "type": "journal article", "published": "2019-08-00", "journal": {"title": "Diabetes Care", "issn": "1935-5548", "issn-l": "0149-5992", "volume": "42", "issue": "8", "pages": "1582-1588"}, "abstract": "HER2/ErbB2 is a member of the epidermal growth factor receptor family. It is widely used as a tumor marker, but it also has recently been associated with insulin resistance. Both ErbB2 and diabetes have been associated with cancer; however, the relationship between ErbB2 and diabetes has not been well explored. The aim of this population-based cohort study was to assess the association between plasma ErbB2 and incidence of diabetes.\n\nThe study population included participants from the Malm\u00f6 Diet and Cancer-Cardiovascular Cohort (age range 46-68 years). After excluding participants with a history of diabetes and those missing data for ErbB2 and other covariates, the final study population consisted of 4,220 individuals. Incidence of diabetes was followed through linkages to local and national registers. Cox proportional hazards regression was used to assess the incidence of diabetes in relation to quartiles of ErbB2, adjusted for potential confounders.\n\nPlasma ErbB2 was significantly and positively associated with glucose, insulin, and HbA1c after being adjusted for potential confounding factors. During a mean \u00b1 SD follow-up period of 20.20 \u00b1 5.90 years, 615 participants (14.6%) were diagnosed with new-onset diabetes. Individuals with high levels of ErbB2 had a significantly higher risk of diabetes than those with low levels of ErbB2. The multivariable-adjusted hazard ratio was 1.31 (95% CI 1.03-1.66; P < 0.05) for the highest versus the lowest quartile of ErbB2 and was 1.15 (95% CI 1.05-1.25; P < 0.05) per 1-SD increase in ErbB2.\n\nElevated levels of ErbB2 are associated with increased incidence of diabetes.", "doi": "10.2337/dc18-2556", "pmid": "31201260", "labels": {"Clinical Biomarkers": "Service", "PLA and Single Cell Proteomics": "Service", "Affinity Proteomics Uppsala": "Service"}, "xrefs": [{"db": "pii", "key": "dc18-2556"}], "notes": [], "created": "2020-01-23T16:04:51.482Z", "modified": "2023-04-14T13:55:56.646Z"}, {"entity": "publication", "iuid": "849cb311546d4085a562d167c998ca3a", "links": {"self": {"href": "https://publications.scilifelab.se/publication/849cb311546d4085a562d167c998ca3a.json"}, "display": {"href": "https://publications.scilifelab.se/publication/849cb311546d4085a562d167c998ca3a"}}, "title": "Use of Vascular Assessments and Novel Biomarkers to Predict Cardiovascular Events in Type 2 Diabetes: The SUMMIT VIP Study.", "authors": [{"family": "Shore", "given": "Angela C", "initials": "AC"}, {"family": "Colhoun", "given": "Helen M", "initials": "HM", "orcid": "0000-0002-8345-3288", "researcher": {"href": "https://publications.scilifelab.se/researcher/e79cb60e3d734232b7cfad20c4f1c13e.json"}}, {"family": "Natali", "given": "Andrea", "initials": "A"}, {"family": "Palombo", "given": "Carlo", "initials": "C"}, {"family": "Khan", "given": "Faisel", "initials": "F"}, {"family": "\u00d6stling", "given": "Gerd", "initials": "G"}, {"family": "Aizawa", "given": "Kunihiko", "initials": "K"}, {"family": "Kennb\u00e4ck", "given": "Cecilia", "initials": "C"}, {"family": "Casanova", "given": "Francesco", "initials": "F"}, {"family": "Persson", "given": "Margaretha", "initials": "M"}, {"family": "Gooding", "given": "Kim", "initials": "K"}, {"family": "Gates", "given": "Phillip E", "initials": "PE"}, {"family": "Looker", "given": "Helen", "initials": "H"}, {"family": "Dove", "given": "Fiona", "initials": "F"}, {"family": "Belch", "given": "Jill", "initials": "J"}, {"family": "Pinnola", "given": "Silvia", "initials": "S"}, {"family": "Venturi", "given": "Elena", "initials": "E"}, {"family": "Kozakova", "given": "Michaela", "initials": "M"}, {"family": "Goncalves", "given": "Isabel", "initials": "I"}, {"family": "Kravic", "given": "Jasmina", "initials": "J"}, {"family": "Bj\u00f6rkbacka", "given": "Harry", "initials": "H"}, {"family": "Nilsson", "given": "Jan", "initials": "J", "orcid": "0000-0002-9752-7479", "researcher": {"href": "https://publications.scilifelab.se/researcher/8777140448bc47f0a7984db3c15c0e23.json"}}, {"family": "SUMMIT Consortium", "given": "", "initials": ""}], "type": "journal article", "published": "2018-10-00", "journal": {"title": "Diabetes Care", "issn": "1935-5548", "issn-l": "0149-5992", "volume": "41", "issue": "10", "pages": "2212-2219"}, "abstract": "Cardiovascular disease (CVD) risk prediction represents an increasing clinical challenge in the treatment of diabetes. We used a panel of vascular imaging, functional assessments, and biomarkers reflecting different disease mechanisms to identify clinically useful markers of risk for cardiovascular (CV) events in subjects with type 2 diabetes (T2D) with or without manifest CVD.\r\n\r\nThe study cohort consisted of 936 subjects with T2D recruited at four European centers. Carotid intima-media thickness and plaque area, ankle-brachial pressure index, arterial stiffness, endothelial function, and circulating biomarkers were analyzed at baseline, and CV events were monitored during a 3-year follow-up period.\r\n\r\nThe CV event rate in subjects with T2D was higher in those with ( n = 440) than in those without (n = 496) manifest CVD at baseline (5.53 vs. 2.15/100 life-years, P < 0.0001). New CV events in subjects with T2D with manifest CVD were associated with higher baseline levels of inflammatory biomarkers (interleukin 6, chemokine ligand 3, pentraxin 3, and hs-CRP) and endothelial mitogens (hepatocyte growth factor and vascular endothelial growth factor A), whereas CV events in subjects with T2D without manifest CVD were associated with more severe baseline atherosclerosis (median carotid plaque area 30.4 mm2 [16.1-92.2] vs. 19.5 mm2 [9.5-40.5], P = 0.01). Conventional risk factors, as well as measurements of arterial stiffness and endothelial reactivity, were not associated with CV events.\r\n\r\nOur observations demonstrate that markers of inflammation and endothelial stress reflect CV risk in subjects with T2D with manifest CVD, whereas the risk for CV events in subjects with T2D without manifest CVD is primarily related to the severity of atherosclerosis.", "doi": "10.2337/dc18-0185", "pmid": "30061319", "labels": {"Clinical Biomarkers": "Service", "PLA and Single Cell Proteomics": "Service", "Affinity Proteomics Uppsala": "Service"}, "xrefs": [{"db": "pii", "key": "dc18-0185"}], "notes": [], "created": "2020-01-23T16:03:46.925Z", "modified": "2023-04-14T13:56:01.672Z"}, {"entity": "publication", "iuid": "b7f29558b4af4c6f98335230b12d1dc2", "links": {"self": {"href": "https://publications.scilifelab.se/publication/b7f29558b4af4c6f98335230b12d1dc2.json"}, "display": {"href": "https://publications.scilifelab.se/publication/b7f29558b4af4c6f98335230b12d1dc2"}}, "title": "Interactions of dietary whole-grain intake with fasting glucose- and insulin-related genetic loci in individuals of European descent: a meta-analysis of 14 cohort studies.", "authors": [{"family": "Nettleton", "given": "Jennifer A", "initials": "JA"}, {"family": "McKeown", "given": "Nicola M", "initials": "NM"}, {"family": "Kanoni", "given": "Stavroula", "initials": "S"}, {"family": "Lemaitre", "given": "Rozenn N", "initials": "RN"}, {"family": "Hivert", "given": "Marie-France", "initials": "MF"}, {"family": "Ngwa", "given": "Julius", "initials": "J"}, {"family": "van Rooij", "given": "Frank J A", "initials": "FJ"}, {"family": "Sonestedt", "given": "Emily", "initials": "E"}, {"family": "Wojczynski", "given": "Mary K", "initials": "MK"}, {"family": "Ye", "given": "Zheng", "initials": "Z"}, {"family": "Tanaka", "given": "Tosh", "initials": "T"}, {"family": "Garcia", "given": "Melissa", "initials": "M"}, {"family": "Anderson", "given": "Jennifer S", "initials": "JS"}, {"family": "Follis", "given": "Jack L", "initials": "JL"}, {"family": "Djousse", "given": "Luc", "initials": "L"}, {"family": "Mukamal", "given": "Kenneth", "initials": "K"}, {"family": "Papoutsakis", "given": "Constantina", "initials": "C"}, {"family": "Mozaffarian", "given": "Dariush", "initials": "D"}, {"family": "Zillikens", "given": "M Carola", "initials": "MC"}, {"family": "Bandinelli", "given": "Stefania", "initials": "S"}, {"family": "Bennett", "given": "Amanda J", "initials": "AJ"}, {"family": "Borecki", "given": "Ingrid B", "initials": "IB"}, {"family": "Feitosa", "given": "Mary F", "initials": "MF"}, {"family": "Ferrucci", "given": "Luigi", "initials": "L"}, {"family": "Forouhi", "given": "Nita G", "initials": "NG"}, {"family": "Groves", "given": "Christopher J", "initials": "CJ"}, {"family": "Hallmans", "given": "Goran", "initials": "G"}, {"family": "Harris", "given": "Tamara", "initials": "T"}, {"family": "Hofman", "given": "Albert", "initials": "A"}, {"family": "Houston", "given": "Denise K", "initials": "DK"}, {"family": "Hu", "given": "Frank B", "initials": "FB"}, {"family": "Johansson", "given": "Ingegerd", "initials": "I"}, {"family": "Kritchevsky", "given": "Stephen B", "initials": "SB"}, {"family": "Langenberg", "given": "Claudia", "initials": "C"}, {"family": "Launer", "given": "Lenore", "initials": "L"}, {"family": "Liu", "given": "Yongmei", "initials": "Y"}, {"family": "Loos", "given": "Ruth J", "initials": "RJ"}, {"family": "Nalls", "given": "Michael", "initials": "M"}, {"family": "Orho-Melander", "given": "Marju", "initials": "M"}, {"family": "Renstrom", "given": "Frida", "initials": "F"}, {"family": "Rice", "given": "Kenneth", "initials": "K"}, {"family": "Riserus", "given": "Ulf", "initials": "U"}, {"family": "Rolandsson", "given": "Olov", "initials": "O"}, {"family": "Rotter", "given": "Jerome I", "initials": "JI"}, {"family": "Saylor", "given": "Georgia", "initials": "G"}, {"family": "Sijbrands", "given": "Eric J G", "initials": "EJ"}, {"family": "Sjogren", "given": "Per", "initials": "P"}, {"family": "Smith", "given": "Albert", "initials": "A"}, {"family": "Steingr\u00edmsd\u00f3ttir", "given": "Laufey", "initials": "L"}, {"family": "Uitterlinden", "given": "Andr\u00e9 G", "initials": "AG"}, {"family": "Wareham", "given": "Nicholas J", "initials": "NJ"}, {"family": "Prokopenko", "given": "Inga", "initials": "I"}, {"family": "Pankow", "given": "James S", "initials": "JS"}, {"family": "van Duijn", "given": "Cornelia M", "initials": "CM"}, {"family": "Florez", "given": "Jose C", "initials": "JC"}, {"family": "Witteman", "given": "Jacqueline C M", "initials": "JC"}, {"family": "MAGIC Investigators", "given": null, "initials": null}, {"family": "Dupuis", "given": "Jos\u00e9e", "initials": "J"}, {"family": "Dedoussis", "given": "George V", "initials": "GV"}, {"family": "Ordovas", "given": "Jose M", "initials": "JM"}, {"family": "Ingelsson", "given": "Erik", "initials": "E"}, {"family": "Cupples", "given": "L Adrienne", "initials": "L"}, {"family": "Siscovick", "given": "David S", "initials": "DS"}, {"family": "Franks", "given": "Paul W", "initials": "PW"}, {"family": "Meigs", "given": "James B", "initials": "JB"}], "type": "journal article", "published": "2010-12-00", "journal": {"volume": "33", "issn": "1935-5548", "issue": "12", "pages": "2684-2691", "title": "Diabetes Care", "issn-l": "0149-5992"}, "abstract": "Whole-grain foods are touted for multiple health benefits, including enhancing insulin sensitivity and reducing type 2 diabetes risk. Recent genome-wide association studies (GWAS) have identified several single nucleotide polymorphisms (SNPs) associated with fasting glucose and insulin concentrations in individuals free of diabetes. We tested the hypothesis that whole-grain food intake and genetic variation interact to influence concentrations of fasting glucose and insulin.\n\nVia meta-analysis of data from 14 cohorts comprising \u223c 48,000 participants of European descent, we studied interactions of whole-grain intake with loci previously associated in GWAS with fasting glucose (16 loci) and/or insulin (2 loci) concentrations. For tests of interaction, we considered a P value <0.0028 (0.05 of 18 tests) as statistically significant.\n\nGreater whole-grain food intake was associated with lower fasting glucose and insulin concentrations independent of demographics, other dietary and lifestyle factors, and BMI (\u03b2 [95% CI] per 1-serving-greater whole-grain intake: -0.009 mmol/l glucose [-0.013 to -0.005], P < 0.0001 and -0.011 pmol/l [ln] insulin [-0.015 to -0.007], P = 0.0003). No interactions met our multiple testing-adjusted statistical significance threshold. The strongest SNP interaction with whole-grain intake was rs780094 (GCKR) for fasting insulin (P = 0.006), where greater whole-grain intake was associated with a smaller reduction in fasting insulin concentrations in those with the insulin-raising allele.\n\nOur results support the favorable association of whole-grain intake with fasting glucose and insulin and suggest a potential interaction between variation in GCKR and whole-grain intake in influencing fasting insulin concentrations.", "doi": "10.2337/dc10-1150", "pmid": "20693352", "labels": {"National Genomics Infrastructure": null, "NGI Uppsala (SNP&SEQ Technology Platform)": null}, "xrefs": [{"db": "pii", "key": "dc10-1150"}, {"db": "pmc", "key": "PMC2992213"}], "notes": [], "created": "2017-05-04T15:00:29.536Z", "modified": "2020-01-21T13:56:04.814Z"}], "created": "2017-05-09T09:12:05.533Z", "modified": "2020-11-27T13:14:08.200Z"}